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-{"question": "The research highlights that community engagement in urban planning significantly influences residents' perceptions of safety and access to public spaces. Notably, neighborhoods with regular participatory meetings reported higher satisfaction with local amenities and improved trust in municipal authorities. However, limited representation from marginalized groups remains a concern, potentially perpetuating disparities in urban resource allocation. Future studies should explore innovative outreach strategies to enhance inclusivity and measure the long-term impact of broad-based participation on urban well-being.", "response": "Facilitate regular participatory meetings to improve resident satisfaction with local amenities and trust in municipal authorities. Develop targeted outreach strategies to ensure marginalized groups are adequately represented in community engagement initiatives. Monitor the long-term effects of inclusive urban planning on well-being and equitable resource allocation."}
-{"question": "Although tidal stream energy converters have shown great promise for renewable energy generation, their installation can alter local hydrodynamics and sediment transport. Studies indicate that changes in water flow around turbines may influence benthic habitats and the distribution of marine organisms, necessitating careful site assessment and long-term ecological monitoring.", "response": "Conduct thorough site assessments and establish long-term ecological monitoring programs to evaluate the effects of tidal stream energy converters on hydrodynamics, sediment transport, and marine habitats."}
-{"question": "A recent intervention aimed at improving science achievement involved providing teachers with professional development focused on culturally responsive pedagogy and inclusive classroom practices. After one academic year, schools that participated in the intervention showed a narrowing of achievement gaps between students from different ethnic backgrounds, as well as increased self-efficacy in science among underrepresented groups. However, some teachers reported challenges in adapting curriculum materials to incorporate students' cultural backgrounds, and noted a need for ongoing support to sustain these practices. What recommendations can be made to enhance the long-term effectiveness of such interventions in promoting equitable science education?", "response": "Provide ongoing professional development and peer collaboration opportunities for teachers to deepen their understanding of culturally responsive pedagogy. Develop and share adaptable curriculum resources that reflect diverse cultural perspectives in science. Offer mentorship and support networks for teachers to address challenges encountered during implementation. Involve families and community members in curriculum planning to ensure relevance and engagement. Monitor progress and gather feedback regularly to inform continuous improvement of equity-focused interventions."}
-{"question": "Recent advancements in battery technology have enabled faster charging times for electric vehicles (EVs), but widespread adoption could create new challenges for energy infrastructure. For instance, if many EV owners simultaneously use rapid charging stations during peak hours, localized grid congestion and voltage instability may occur. Researchers are exploring innovative solutions, such as decentralized energy storage and vehicle-to-grid (V2G) integration, to mitigate these issues and support grid resilience.", "response": "Develop and deploy decentralized energy storage systems and vehicle-to-grid (V2G) technologies to manage increased demand from widespread rapid charging of electric vehicles. Monitor and address potential grid congestion and voltage instability resulting from simultaneous EV charging during peak hours."}
-{"question": "Emerging research indicates that urban green spaces contribute significantly to improving air quality and decreasing urban heat island effects, which are critical issues in densely populated cities. However, challenges remain in integrating sufficient green infrastructure into existing urban landscapes due to limited space, competing land uses, and financial constraints. To maximize the benefits of urban green spaces, it is essential to adopt innovative planning approaches and community engagement strategies that account for local context and needs. Moreover, ongoing monitoring and adaptive management will be necessary to ensure the sustained effectiveness of green infrastructure interventions for environmental and public health outcomes.", "response": "Integrate innovative green infrastructure into urban planning to improve air quality and reduce heat island effects. Employ community engagement strategies and adaptive management to address spatial, economic, and social challenges in implementing urban green spaces. Continuously monitor and adjust green infrastructure interventions to maximize environmental and health benefits in densely populated areas."}
-{"question": "In light of the challenges faced by coastal communities due to rising sea levels and increased storm frequency, this research emphasizes the necessity for integrated coastal zone management. It accentuates the significance of employing ecosystem-based adaptation strategies, such as restoring mangroves and wetlands, to buffer against environmental hazards. The findings encourage collaboration between local stakeholders, scientists, and policymakers to develop context-specific actions that enhance resilience to future climate impacts.", "response": "Implement integrated coastal zone management to address challenges posed by sea level rise and increased storm frequency. Employ ecosystem-based adaptation strategies, such as restoring mangroves and wetlands, to mitigate environmental hazards. Foster collaboration among local stakeholders, scientists, and policymakers to develop context-specific, resilience-enhancing actions in coastal areas."}
-{"question": "Recent studies have explored the influence of school climate on student motivation, emphasizing dimensions such as safety, relationships, and teaching quality. However, while positive school climate is often associated with increased engagement and motivation, the mechanisms underlying these effects are not always clear. For instance, it is uncertain whether improvements in school climate directly enhance motivation or if their effects are mediated by factors such as self-efficacy or peer support. Additionally, most research relies on student self-report, which may not capture the full scope of school climate or its impact over time. Considering this, how might future studies better identify the processes through which school climate influences student motivation, and what methodological changes could improve the validity of these findings?", "response": "Utilize longitudinal designs to track changes in motivation and school climate over time, allowing for the assessment of causal relationships. Incorporate multi-informant approaches by gathering data from teachers, administrators, and objective observations in addition to student self-reports. Employ mediation analyses to examine whether factors such as self-efficacy or peer support explain the relationship between school climate and motivation. Integrate qualitative methods, such as interviews or focus groups, to gain deeper insights into students' experiences of school climate. Use mixed-methods approaches to triangulate findings and increase the robustness of conclusions about the mechanisms linking school climate to motivation."}
-{"question": "Recent studies have highlighted the impact of microplastic pollution on marine invertebrates. For example, exposure to microplastics can disrupt filter-feeding efficiency in mussels and oysters, leading to reduced growth and altered physiological processes (Wang et al., 2020; Li et al., 2019). Additionally, bioaccumulation of microplastics in tissues has raised concerns about potential transfer along the food chain and implications for human health.", "response": "Investigate how microplastic pollution affects filter-feeding efficiency and growth in marine invertebrates such as mussels and oysters. Assess the risks of bioaccumulation of microplastics and potential transfer through the food web to humans."}
-{"question": "Recent research on the behavioral responses of freshwater bivalves to environmental pollutants, such as heavy metals and pesticides, has shown that even low concentrations can lead to altered valve movement patterns and reduced filtration rates. These behavioral changes often precede physiological stress markers, indicating their potential as early warning signals for ecosystem health. Given this, what monitoring strategies could be implemented to effectively utilize bivalve behavioral responses for early detection of water quality issues in freshwater systems?", "response": "Implement continuous monitoring systems that record valve movement and filtration activity of sentinel bivalve species. Use real-time data acquisition to detect deviations from baseline behavioral patterns that may indicate pollutant exposure. Integrate behavioral monitoring with traditional water quality assessments to improve early detection and response to contamination events. Select monitoring sites strategically to cover areas at higher risk of pollution, such as near agricultural runoff or industrial discharge points."}
-{"question": "Recent studies have investigated the role of microbiomes in coral resilience to bleaching events. It appears that corals with more diverse symbiotic bacterial communities are better able to withstand thermal stress, possibly due to enhanced nutrient cycling and pathogen resistance (Ziegler et al., 2017). This suggests that manipulating microbiome composition could be a promising strategy for coral conservation under climate change scenarios.", "response": "Explore the potential of microbiome manipulation to enhance coral resilience to thermal stress. Investigate how increased bacterial diversity within coral symbionts contributes to improved tolerance of bleaching events."}
-{"question": "Urban green spaces are increasingly recognized for their role in promoting biodiversity and improving public health in densely populated cities. Recent studies have shown that incorporating native plant species and creating habitat corridors between parks can significantly enhance urban wildlife populations and ecosystem services. However, balancing recreational use with conservation goals remains a challenge, particularly in areas with high visitor traffic and limited space. What strategies can urban planners employ to maximize both ecological benefits and public accessibility in the design of multifunctional green spaces?", "response": "Integrate native plantings and establish habitat corridors to support urban biodiversity. Design zoning within green spaces to separate high-traffic recreational areas from conservation zones. Use educational signage and designated pathways to minimize disturbance to sensitive habitats while maintaining public access. Engage community stakeholders in planning to balance ecological and recreational priorities."}
-{"question": "Limitations This study relied on self-reported data from participants regarding their dietary habits and health behaviors, which may be subject to social desirability bias or inaccurate recall. Additionally, the cross-sectional design of the research precludes the ability to draw causal inferences between variables. Future studies should consider utilizing objective measures, such as direct dietary observations or biomarkers, and incorporate longitudinal designs to better assess the directionality of relationships.", "response": "Acknowledge that self-reported data may introduce bias due to inaccurate recall or social desirability. Use objective measures, like dietary observations or biomarkers, in future studies. Employ longitudinal research designs to clarify causal relationships between variables."}
-{"question": "Limitations and implications The current research demonstrates that implementing flexible seating arrangements in classrooms can positively influence student engagement and collaboration. However, the study did not account for potential differences in teacher instructional styles or classroom management practices, which could moderate these effects. Future research should include these variables to determine whether the observed benefits of flexible seating are consistent across different teaching approaches. Additionally, the long-term sustainability and cost-effectiveness of such interventions remain to be evaluated.", "response": "Incorporate flexible seating arrangements to enhance student engagement and collaboration. Consider teacher instructional styles and classroom management practices as potential moderators when evaluating the effectiveness of flexible seating. Assess the long-term sustainability and cost-effectiveness of flexible seating interventions in future studies."}
-{"question": "Recent studies have explored the influence of peer academic attitudes on students' motivation and engagement in the classroom. Some findings suggest that students surrounded by highly motivated peers experience increased intrinsic motivation and effort (Ryan, 2000; Kindermann, 2007), while other research reports minimal peer effects when controlling for individual baseline motivation. Moreover, the mechanisms underlying peer influence remain unclear, with some studies highlighting direct modeling and others emphasizing indirect effects through classroom climate. What implications do these mixed findings have for future research and interventions aimed at leveraging peer influence to enhance student motivation?", "response": "Investigate both direct and indirect mechanisms of peer influence on student motivation, such as modeling versus changes in classroom climate. Design interventions that foster positive peer interactions and collective engagement, rather than focusing solely on individual achievement. Control for baseline motivation levels to accurately assess peer effects. Conduct longitudinal studies to clarify how peer influence develops over time. Consider the diversity of peer groups and classroom contexts when developing strategies to enhance motivation through social dynamics."}
-{"question": "A recent study explored how the increased adoption of rooftop solar panels affects the stability of residential electricity grids. The findings indicate that, while distributed generation can reduce demand on central power plants, it also introduces greater volatility in local voltage and can cause reverse power flows, particularly on sunny days when production exceeds neighborhood consumption. These issues are compounded in areas lacking advanced grid management systems, which may lead to equipment stress and reliability concerns.", "response": "Implement advanced grid management systems to accommodate the variability and reverse power flows introduced by widespread rooftop solar adoption. Monitor local voltage stability and address potential reliability concerns in neighborhoods with high distributed generation. Upgrade grid infrastructure as needed to handle increased volatility from solar energy production. Avoid neglecting the need for equipment capable of managing bidirectional power flows in areas with significant rooftop solar penetration."}
-{"question": "The study revealed that the implementation of urban green roofs led to a significant reduction in building energy consumption and lowered surface temperatures in densely populated cities. However, the benefits varied depending on the type of vegetation, roof structure, and local climate conditions. While extensive green roofs provided moderate cooling and insulation benefits at lower costs, intensive green roofs with deeper substrates demonstrated greater energy savings and improved stormwater management but required higher maintenance and structural support. The findings suggest that optimal green roof design should consider local environmental factors and intended building performance outcomes to maximize sustainability benefits.", "response": "Assess the effects of different green roof types on building energy consumption and urban heat mitigation. When designing green roofs, account for vegetation selection, roof structure, and climate conditions. Balance the trade-offs between cost, maintenance, and sustainability outcomes by matching green roof type to local needs and building performance goals."}
-{"question": "How might the incorporation of culturally responsive pedagogy influence teacher expectations and student academic motivation in diverse classrooms, and what methodological considerations should be addressed when evaluating such interventions?", "response": "Implement culturally responsive pedagogy to foster higher and more equitable teacher expectations for students from diverse backgrounds. Monitor shifts in student academic motivation as a potential outcome of these interventions. When evaluating effectiveness, utilize mixed-methods approaches and control for baseline differences in student achievement and motivation. Ensure that measures of teacher expectation are both quantitative and qualitative to capture nuanced changes. Consider potential biases and contextual factors that may influence both teacher behavior and student response."}
-{"question": "Future research should also account for potential confounding variables such as socioeconomic status and access to educational resources, which may independently influence student performance beyond the effects measured by teacher expectations. Additionally, longitudinal studies tracking changes in self-efficacy and academic outcomes over multiple years could provide deeper insights into the persistence and evolution of expectation effects.", "response": "Control for confounding variables like socioeconomic status and access to educational resources when evaluating the impact of teacher expectations on student performance. Employ longitudinal study designs to assess changes in self-efficacy and academic outcomes over time, offering a clearer understanding of how expectation effects develop and persist."}
-{"question": "In studies evaluating the impact of classroom seating arrangements on student participation, findings indicate that students seated closer to the teacher or in a semicircle arrangement tend to participate more actively compared to those placed at the back or in rows. However, these effects can be moderated by factors such as classroom size, subject matter, and student personality traits. Future research could investigate whether these participation patterns persist in virtual or hybrid classroom environments, and whether adaptive seating strategies could enhance inclusivity and engagement for diverse student groups.", "response": "Consider the influence of classroom seating arrangements on student participation, taking into account classroom size, subject matter, and individual student traits. Explore adaptive seating strategies to promote engagement and inclusivity. Extend research on participation patterns to virtual or hybrid classrooms to determine the effectiveness of similar interventions in diverse learning environments."}
-{"question": "Recent research indicates that patients' adherence to prescribed medication regimens is influenced not only by their understanding of the health condition, but also by social support systems and accessibility to healthcare services. Despite health education initiatives, some individuals face barriers such as transportation difficulties or limited pharmacy hours, which may affect their ability to obtain medications consistently. These findings highlight the importance of considering both informational and structural factors when addressing medication adherence.", "response": "Address both informational and structural barriers to improve patients' medication adherence. Enhance health education efforts to increase understanding of medication regimens, while also improving access to healthcare services through extended pharmacy hours or transportation assistance. Foster strong social support systems to encourage consistent medication use."}
-{"question": "As urban expansion and infrastructure development accelerate, natural habitats are increasingly fragmented, leading to reduced biodiversity and disruption of ecosystem services. Fragmented landscapes can limit species movement, alter gene flow, and contribute to the decline of specialized flora and fauna. Integrating ecological corridors and green spaces into urban planning has been proposed as a strategy to mitigate these effects. What practical steps can urban planners and policymakers take to maintain biodiversity in rapidly urbanizing areas?", "response": "Incorporate ecological corridors and interconnected green spaces into urban design to facilitate species movement and preserve genetic diversity. Prioritize the conservation of existing natural habitats within urban boundaries. Implement native vegetation in landscaping projects to support local wildlife. Encourage community participation in biodiversity-friendly initiatives, such as urban gardens and citizen science monitoring. Enact policies that require biodiversity assessments for new developments and support restoration of degraded areas within cities."}
-{"question": "While evaluating the efficiency of flood management strategies, it became apparent that the current approaches often focus primarily on structural measures such as levees and dams. However, non-structural interventions like early warning systems, community preparedness, and adaptive land use planning have been shown to enhance resilience and reduce long-term impacts. The integration of social, institutional, and environmental factors into flood risk management is still relatively limited, and future analysis should consider these dimensions to create more holistic and sustainable flood mitigation policies.", "response": "Integrate non-structural interventions such as early warning systems, community preparedness, and adaptive land use planning into flood management strategies. Consider social, institutional, and environmental factors when developing holistic and sustainable flood mitigation policies."}
-{"question": "Limitations The reliance on remote sensing data introduces uncertainties due to sensor resolution and atmospheric interference. Ground-truthing through field surveys is essential to validate satellite-derived indicators of drought. Additionally, short-term fluctuations in land use, such as deforestation or agricultural expansion, may confound the interpretation of vegetation health metrics. Integrating socio-economic data can help contextualise the environmental findings and identify vulnerable populations most at risk from drought-related impacts.", "response": "Acknowledge uncertainties from remote sensing data, and use field surveys to validate satellite indicators. Account for land use changes when interpreting vegetation metrics. Combine socio-economic data to contextualise environmental impacts and identify vulnerable groups."}
-{"question": "Recent studies on aquatic invertebrates have highlighted the influence of daily temperature cycles, as opposed to constant temperatures, on physiological performance and stress responses. These fluctuating thermal regimes more closely mimic natural habitats and may better reveal the resilience or vulnerability of species to climate change. However, little is known about how such thermal variability affects the growth and survival of freshwater bivalves like A. anatina.", "response": "Implement experimental designs that expose freshwater bivalves to fluctuating daily temperature cycles rather than constant conditions. Assess the effects of thermal variability on growth and survival to improve predictions of species' responses to climate change."}
-{"question": "Despite widespread implementation of inclusive teaching practices, recent data indicate that students with learning disabilities still experience lower self-efficacy in science subjects compared to their peers. While adjustments in curriculum and assessment have improved access, there is limited research investigating how teacher attitudes towards inclusion impact students' motivation and engagement in science classrooms. Understanding these dynamics is crucial for developing strategies that foster a supportive learning environment for all students.", "response": "Examine how teacher attitudes toward inclusion influence science self-efficacy, motivation, and engagement among students with learning disabilities. Develop strategies to foster supportive science learning environments that address these attitudinal impacts."}
-{"question": "Recent advancements in remote sensing technologies have enabled the monitoring of land use changes and their implications for urban resilience to extreme weather events. Discuss how integrating high-resolution satellite imagery with socio-economic data can enhance urban planning strategies aimed at mitigating flood risks in rapidly expanding metropolitan areas.", "response": "Integrating high-resolution satellite imagery with socio-economic data allows urban planners to identify flood-prone areas, assess population vulnerability, and monitor informal settlements in real time. This combined approach supports targeted infrastructure improvements, zoning regulations, and early warning systems tailored to the socio-spatial dynamics of rapidly growing cities, thereby enhancing urban resilience to flood risks."}
-{"question": "Recent studies have highlighted the role of environmental variability in shaping physiological plasticity among aquatic invertebrates. For instance, some mollusks exhibit rapid changes in metabolic enzyme activity when exposed to fluctuating river temperatures. However, the extent to which these enzymatic adjustments contribute to overall survival and reproductive success under climate-induced thermal stress remains unclear. Considering both acute and chronic exposure scenarios, how might future research design experiments to disentangle the relative contributions of enzyme-level plasticity and whole-organism acclimation in these species?", "response": "Design experiments that separately manipulate enzyme activity (e.g., via targeted inhibitors or activators) and environmental temperature regimes to isolate their effects on survival and reproductive metrics. Use acute thermal shock tests alongside long-term acclimation treatments to compare immediate versus sustained responses. Measure both enzymatic activity levels and organismal performance outcomes, such as growth rate and reproductive output, under controlled laboratory and semi-natural conditions. Incorporate genetic and transcriptomic analyses to investigate underlying molecular mechanisms of plasticity. This approach will help clarify the roles of enzyme-level versus whole-organism acclimation in coping with climate-related thermal stress."}
-{"question": "In recent years, maritime logistics operations have increasingly adopted digital technologies such as Internet of Things (IoT) sensors, blockchain for documentation, and automated scheduling systems to improve efficiency and transparency. However, while these innovations can reduce paperwork and optimize routes, their overall impact on environmental sustainability in port management is still being assessed. Some studies suggest that digitalization may enable more effective monitoring of emissions and better resource allocation, while others caution about the potential for increased electronic waste and higher energy consumption from servers and devices. Considering these mixed findings, what are key strategies ports can implement to ensure that digitalization initiatives contribute positively to both operational efficiency and environmental sustainability?", "response": "To ensure that digitalization initiatives in ports support both operational efficiency and environmental sustainability, ports should prioritize the integration of energy-efficient hardware and renewable energy sources for powering IT infrastructure. Establishing protocols for responsible disposal and recycling of electronic equipment can help mitigate electronic waste. Leveraging IoT and real-time data analytics for proactive monitoring of emissions and energy use enables targeted interventions to reduce environmental impacts. Adopting cloud-based solutions and optimizing server utilization can further lower overall energy consumption. Lastly, involving environmental experts in the planning and implementation phases of digital projects ensures that sustainability goals are embedded alongside efficiency improvements."}
-{"question": "The methodology of the present research incorporated both quantitative and qualitative data from participants across diverse urban and rural school districts to examine the influence of school climate on student motivation. While standardized surveys provided measurable indicators of perceived support and safety, focus group interviews revealed nuanced differences in how students from varying backgrounds interpret school rules and teacher behaviors. To enhance future studies, integrating longitudinal tracking could better capture how perceptions of school climate evolve over time and relate to long-term student outcomes.", "response": "Combine quantitative surveys with qualitative interviews to examine the influence of school climate on student motivation. Consider using longitudinal tracking to observe changes in perceptions and their relationship to long-term outcomes."}
-{"question": "The study underscores the role of urban green spaces in moderating local microclimates and mitigating the urban heat island effect. It demonstrates that increased vegetation cover can lower ambient temperatures and improve air quality, benefiting both public health and biodiversity. Nevertheless, challenges remain in integrating sufficient green infrastructure into densely built environments, often due to limited space and competing land use priorities. The research advocates for innovative urban planning approaches that prioritize the expansion and maintenance of green areas to enhance urban resilience against climate change impacts.", "response": "Prioritize the expansion and maintenance of urban green spaces to moderate local microclimates and reduce the urban heat island effect. Integrate innovative urban planning approaches to overcome space limitations and competing land uses. Enhance urban resilience to climate change by increasing vegetation cover, thus improving air quality and public health."}
-{"question": "In the analyzed system, real-time dynamic pricing was implemented to encourage flexible energy usage among consumers. The data revealed significant reductions in peak demand and more balanced load profiles compared to static pricing models. However, some users with limited access to smart appliances or lacking price awareness did not adjust their consumption patterns. This suggests that while dynamic pricing can enhance grid stability and efficiency, its effectiveness depends on consumer engagement and technological accessibility. What strategies can be adopted to improve the uptake and impact of real-time pricing initiatives?", "response": "Promote consumer education programs to increase awareness of real-time pricing benefits. Facilitate access to smart appliances and automation technologies to enable responsive energy use. Provide targeted incentives or subsidies for vulnerable groups to adopt enabling technologies. Design user-friendly interfaces and notifications to inform consumers of pricing changes in real time."}
-{"question": "One aspect not covered in our investigation is the potential influence of land use change and human interventions, such as dam construction and deforestation, on hydrological drought patterns within the Orinoco River Basin. Additionally, our analysis did not consider groundwater-surface water interactions that may act as buffers or amplifiers of drought impacts. Future research should explore the combined effects of anthropogenic activities and natural climatic variability on water availability, ecosystem resilience, and drought risk in the basin.", "response": "Investigate the influence of land use change and human interventions, such as dam construction and deforestation, on hydrological drought patterns in the Orinoco River Basin. Incorporate analysis of groundwater-surface water interactions to understand their role in modulating drought impacts. Examine the combined effects of anthropogenic activities and climate variability on water availability, ecosystem resilience, and drought risk."}
-{"question": "The present analysis emphasizes the significance of integrating community engagement in the planning stages of urban green space developments. By involving residents in decision-making processes, urban planners can better align green space designs with local needs, ultimately enhancing accessibility, usage rates, and social cohesion. The research recommends continuous feedback mechanisms and participatory workshops to ensure that green space interventions remain responsive and equitable over time.", "response": "Integrate community engagement in the planning of urban green spaces. Involve residents in decision-making to align designs with local needs. Use continuous feedback and participatory workshops to ensure interventions remain responsive and equitable."}
-{"question": "Recent research highlights the importance of microhabitat selection in organisms' responses to environmental stressors such as pollution and temperature extremes. For example, some amphibian species are able to reduce exposure to harmful contaminants by selecting breeding sites with lower pollutant concentrations, while others exhibit behavioral thermoregulation by seeking shaded or cooler microhabitats during heatwaves. This ability to choose favorable microhabitats can significantly influence survival and reproductive success, especially as climate change and urbanization alter habitat structures. However, not all species possess the same capacity for microhabitat selection, and habitat fragmentation may limit these options further. Understanding the interplay between microhabitat availability, behavioral flexibility, and environmental stressors is crucial for effective species conservation and habitat management strategies.", "response": "Investigate the microhabitat selection behaviors of target species under environmental stressors such as pollution and temperature extremes. Assess how behavioral flexibility and the availability of suitable microhabitats influence survival and reproductive outcomes. Incorporate microhabitat structure and connectivity into habitat management and conservation planning to support species resilience against climate change and habitat fragmentation. Prioritize monitoring of microhabitat quality and diversity to facilitate adaptive responses in vulnerable species."}
-{"question": "The implementation of shore power, also known as cold ironing, allows ships to shut down their auxiliary engines while docked and connect to the local electrical grid, thus significantly reducing emissions of nitrogen oxides, sulfur oxides, and particulate matter in port areas. However, the adoption of shore power faces several challenges, including the high cost of infrastructure development, the need for standardized connections across different ports and vessel types, and variations in energy sources used by local grids. Additionally, the overall environmental benefit depends on the carbon intensity of the electricity supplied. What steps can ports and shipping companies take to maximize the effectiveness of shore power in reducing environmental impacts and promote its broader adoption?", "response": "Invest in standardized shore power infrastructure compatible with a variety of vessel types to facilitate broader adoption. Collaborate internationally to establish uniform technical standards and protocols for ship-to-shore electrical connections. Prioritize sourcing electricity from renewable or low-carbon sources to maximize the environmental benefits of shore power. Offer financial incentives, such as reduced port fees or subsidies, to encourage shipping companies to retrofit vessels for shore power compatibility. Promote partnerships between ports, local governments, and energy providers to share costs and accelerate infrastructure development. Educate stakeholders on the long-term operational and environmental advantages of shore power to drive industry commitment."}
-{"question": "Recent studies have highlighted the importance of public awareness campaigns in promoting recycling behaviors in urban environments. Despite the availability of recycling facilities, usage rates remain suboptimal, often due to factors such as lack of information, inconvenience, or misconceptions about the recycling process. These findings suggest that while infrastructure is critical, targeted educational initiatives and community engagement may be necessary to achieve significant improvements in recycling participation.", "response": "Implement targeted public awareness campaigns to educate residents about proper recycling practices. Increase community engagement through workshops and local events to address misconceptions and promote convenient use of recycling facilities. Monitor recycling participation rates regularly to assess the effectiveness of educational initiatives and make necessary adjustments."}
-{"question": "The results of our investigation highlight the importance of considering seasonal variations in groundwater recharge for effective water resource management in semi-arid regions. During the wet season, increased precipitation leads to higher infiltration rates, while in the dry season, groundwater levels decline due to limited rainfall and increased evapotranspiration. Land use practices, such as deforestation and intensive agriculture, further influence recharge patterns by altering soil permeability and surface runoff. Sustainable management strategies should integrate land cover monitoring, adaptive agricultural practices, and seasonal forecasting to maintain groundwater availability and ecosystem services.", "response": "Integrate seasonal monitoring of groundwater recharge and land use changes to inform sustainable water resource management in semi-arid regions. Adapt agricultural practices and implement land cover management strategies to promote consistent groundwater availability across wet and dry seasons."}
-{"question": "This study explored the effectiveness of community-based early warning systems (EWS) in reducing disaster risk, specifically focusing on the timely dissemination of warnings, local participation, and the integration of indigenous knowledge. The findings indicate that community involvement in the design and implementation of EWS leads to greater trust, faster response times, and improved adaptation to local contexts. However, challenges remain in ensuring adequate training, sustained funding, and coordination with formal government-led warning mechanisms. The research highlights the need for policies that support capacity building, ongoing technical support, and the formal inclusion of local knowledge in disaster risk reduction strategies.", "response": "Prioritize community participation in the design and implementation of early warning systems to enhance their effectiveness and local relevance. Integrate indigenous knowledge with scientific approaches to improve warning accuracy and trust. Ensure continuous training and technical support for local actors managing EWS. Develop policies that provide stable funding and promote coordination between community-based and formal government warning mechanisms. Recognize the value of local knowledge as a core component of disaster risk reduction policies."}
-{"question": "Limitations One limitation of the present study is the reliance on self-reported data for measuring students’ motivation and engagement in science subjects, which may be subject to social desirability bias. Additionally, the study was conducted in urban schools, which may not reflect the experiences of students in rural areas. The absence of longitudinal data also prevents examination of changes in motivation and engagement over time. Future research should incorporate objective measures, include rural populations, and employ a longitudinal design to enhance understanding of these factors.", "response": "Use objective measures, in addition to self-reports, to assess students’ motivation and engagement in science subjects. Include rural schools to capture diverse student experiences. Employ a longitudinal research design to track changes in motivation and engagement over time."}
-{"question": "Recent urban transportation research highlights the significant role of active mobility options, such as walking and cycling, in reducing urban air pollution and promoting public health. The review emphasizes that integrating dedicated infrastructure and policy incentives can effectively increase the share of non-motorized transport modes. Planners are encouraged to consider context-specific barriers, such as safety concerns and connectivity gaps, to maximize the environmental and societal benefits of shifting away from car dependency.", "response": "Promote active mobility options like walking and cycling to reduce urban air pollution and improve public health. Invest in dedicated infrastructure and policy incentives to increase non-motorized transport. Address safety concerns and connectivity gaps to encourage broader adoption of active transportation modes."}
-{"question": "Recent developments in urban transportation networks highlight the potential of integrating electric buses into public transit systems to reduce greenhouse gas emissions and improve air quality. However, large-scale adoption of electric buses requires careful consideration of charging infrastructure placement, grid capacity, and route scheduling to avoid service disruptions and grid overloads. Furthermore, coordinated operation with existing renewable energy sources may maximize environmental benefits but introduces additional logistical challenges such as variability in energy supply and increased need for real-time data analytics. How should city planners approach the deployment of electric buses to ensure both operational reliability and environmental sustainability?", "response": "Design a strategic plan for electric bus deployment by first mapping optimal locations for charging infrastructure based on route demand and proximity to grid resources. Assess grid capacity to support added load and coordinate bus charging times to avoid peak demand periods. Integrate real-time data analytics for dynamic route scheduling and charging management, leveraging periods of high renewable energy generation when possible. Collaborate with utility providers to upgrade grid infrastructure as needed and invest in energy storage solutions to buffer supply variability. Continually monitor operational performance and environmental outcomes, adjusting strategies to optimize both service reliability and sustainability goals."}
-{"question": "Recent research has indicated that freshwater mussel species such as A. anatina may alter their burrowing depth in response to changes in sediment temperature and moisture content. How could shifts in burrowing behavior serve as an adaptive mechanism to cope with environmental fluctuations, and what further studies might clarify the relationship between sediment conditions and mussel survival?", "response": "Monitor changes in burrowing depth of A. anatina in response to varying sediment temperature and moisture. Investigate how deeper burrowing during adverse conditions may protect mussels from temperature extremes or desiccation. Conduct controlled experiments manipulating sediment characteristics to assess survival and physiological stress, thereby clarifying the adaptive significance of burrowing behavior for environmental resilience."}
-{"question": "Recent studies have explored the influence of classroom climate on the development of students' academic motivation and achievement. While a positive classroom climate—characterized by supportive peer relationships and teacher-student interactions—has been associated with improved academic outcomes (Fraser & Fisher, 1982; Patrick et al., 2007), the specific mechanisms through which classroom climate exerts its effects remain under investigation. Some researchers suggest that a positive climate enhances students' sense of belonging and engagement, which in turn fosters motivation and higher achievement (Wentzel, 1998). However, it is not yet clear whether these effects are consistent across different age groups or subject areas. What might explain the variability in classroom climate effects on student motivation and achievement?", "response": "Consider that the impact of classroom climate on student motivation and achievement may vary depending on students’ age, subject area, and individual differences in sensitivity to social environments. Examine whether a sense of belonging and engagement mediates the relationship between classroom climate and academic outcomes, and investigate if these mediating effects differ across educational settings."}
-{"question": "In addition to monitoring air quality, it is vital to consider the cumulative impact of multiple pollutants on both human health and ecosystem stability. Recent findings suggest that synergistic effects between airborne particulates and ground-level ozone can amplify respiratory risks, particularly in urban environments with high population density. Future initiatives should prioritize integrated pollutant management approaches and foster cross-sector collaboration to better address the complex challenges posed by urban air pollution.", "response": "Prioritize integrated management of multiple pollutants to address their cumulative impacts on health and ecosystems. Encourage cross-sector collaboration to develop effective strategies for mitigating the synergistic effects of air pollution in urban areas."}
-{"question": "In evaluating the effectiveness of remote sensing technologies for early detection of vegetation stress, our research identifies key spectral indicators that can provide timely warnings before visible symptoms appear. This advancement allows land managers to implement targeted interventions, potentially reducing the severity of drought-related crop losses and supporting more resilient agricultural systems.", "response": "Utilize key spectral indicators from remote sensing technologies for early detection of vegetation stress to enable timely, targeted interventions and enhance agricultural resilience to drought."}
-{"question": "Limitations and Future Research One limitation of the present study is the reliance on self-reported data, which may introduce bias due to social desirability or inaccurate recall. Additionally, the sample was restricted to urban participants, limiting the generalizability of the findings to rural populations. Future research should include a more diverse sample and incorporate objective measures, such as direct observation or biomarker data, to strengthen the validity of the results.", "response": "In future studies, include participants from both urban and rural settings to enhance generalizability. Use objective measurement methods in addition to self-reports to minimize bias. Consider direct observation or biomarker assessments to improve data accuracy and validity."}
-{"question": "This analysis explores how integrating real-time traffic data and logistic demand forecasts can optimize the routing and scheduling of freight shipments in metropolitan areas. By dynamically adjusting transport routes in response to congestion patterns and shipment urgency, supply chains become more resilient and cost-effective, while simultaneously reducing urban environmental impact.", "response": "Integrate real-time traffic data with logistic demand forecasts to optimize routing and scheduling of freight shipments in metropolitan areas. Dynamically adjust transport routes based on congestion and shipment urgency to enhance supply chain resilience and reduce urban environmental impact."}
-{"question": "Limitations One limitation of the current study is its reliance on self-reported dietary intake, which may be subject to recall bias or social desirability bias. Additionally, the cross-sectional design prevents us from drawing firm conclusions about causal relationships between dietary habits and health outcomes in the target population. Future research should consider employing longitudinal designs and objective measures, such as biomarkers or direct observation, to strengthen the validity of findings.", "response": "Acknowledge that self-reported dietary intake data may be affected by recall and social desirability biases. Recognize that the cross-sectional design limits the ability to infer causality. Recommend future studies use longitudinal approaches and objective measures to improve data validity."}
-{"question": "While much attention has been given to the immediate effects of temperature fluctuations on aquatic invertebrates, less is known about how prior exposure to sub-lethal environmental stressors such as hypoxia may influence their subsequent thermal tolerance. Some studies suggest that organisms experiencing repeated bouts of low oxygen can develop enhanced resistance to future stressful events (Wu, 2002). It is unclear, however, whether this cross-tolerance extends to thermal challenges in freshwater mussels like A. anatina.", "response": "Expose A. anatina to repeated episodes of sub-lethal hypoxia to determine if such preconditioning increases their thermal tolerance. Investigate potential cross-tolerance mechanisms between hypoxia and thermal stress in freshwater mussels."}
-{"question": "Recent research has examined the role of urban green spaces in mitigating the urban heat island effect and improving residents' well-being. Studies indicate that increased vegetation density and diverse plant species in city parks can lower local temperatures and enhance air quality. Moreover, accessible green spaces provide opportunities for physical activity and social interaction, contributing to improved mental health and community cohesion. However, disparities exist in the distribution and quality of urban green spaces, with lower-income neighborhoods often having limited or poorly maintained parks. What strategies can urban planners implement to ensure equitable access to high-quality green spaces and maximize their environmental and social benefits?", "response": "Design and maintain urban green spaces to ensure all neighborhoods, especially underserved areas, have equitable access to high-quality parks. Incorporate diverse plant species to maximize cooling and air purification effects. Engage local communities in planning and stewardship to promote usage and foster social cohesion. Implement policies that prioritize green infrastructure investments in areas with limited resources to reduce disparities and enhance both environmental and social outcomes."}
-{"question": "Recent advances in remote sensing technologies, such as LiDAR and hyperspectral imaging, have enabled researchers to capture fine-scale variations in forest canopy structure and species composition across diverse landscapes. Integrating these data with ground-based ecological surveys allows for more accurate modeling of ecosystem services, such as carbon sequestration and habitat availability. However, challenges remain in harmonizing multi-source datasets and addressing spatial and temporal mismatches. What strategies can be employed to overcome these integration challenges and enhance the reliability of ecosystem service assessments?", "response": "Integrate LiDAR and hyperspectral remote sensing data with ground-based ecological surveys to improve modeling of ecosystem services. Employ data harmonization techniques, such as spatial resampling and temporal alignment, to address mismatches between datasets. Utilize standardized data processing workflows and calibration protocols to ensure comparability. Leverage machine learning algorithms to fuse multi-source data and validate results with in-situ measurements to enhance assessment reliability."}
-{"question": "Several recent studies have highlighted the importance of adaptive infrastructure in urban environments facing increased frequency of extreme weather events due to climate change. While traditional infrastructure systems were designed based on historical weather patterns, the current variability demands more dynamic solutions. For example, the integration of real-time monitoring and flexible resource allocation has shown to improve resilience in water and energy supply networks (Smith et al., 2021). Additionally, involving community stakeholders in the planning process can enhance the acceptance and effectiveness of adaptive measures. However, there remains a lack of standardized frameworks for evaluating the long-term performance and scalability of these adaptive infrastructures across different urban contexts.", "response": "Incorporate real-time monitoring and flexible resource management to improve urban infrastructure resilience to climate-induced extreme weather events. Engage community stakeholders in the planning and implementation of adaptive infrastructure. Develop standardized frameworks to evaluate the long-term effectiveness and scalability of adaptive solutions across diverse urban settings."}
-{"question": "Recent advances in remote monitoring technologies offer new possibilities for chronic disease management, yet their integration into routine healthcare remains limited. When considering the implementation of wearable devices for monitoring blood glucose or physical activity, it is essential to address not only technological feasibility but also patient engagement and data privacy concerns. In addition, there is a need to tailor digital interventions to different demographic groups, as age, digital literacy, and socioeconomic status may influence adoption rates. Future research could focus on comparative effectiveness studies between traditional in-clinic monitoring and remote tracking, as well as strategies to enhance sustained patient participation.", "response": "Assess the feasibility of integrating wearable monitoring devices into chronic disease management by considering patient engagement and data privacy. Tailor digital health interventions to demographic factors such as age, digital literacy, and socioeconomic status to improve adoption. Conduct comparative effectiveness studies between traditional clinic-based and remote monitoring approaches. Develop strategies to promote sustained patient participation and address barriers to technology use in diverse populations."}
-{"question": "In some freshwater mussel species, reproductive cycles are closely linked to environmental cues such as water temperature and photoperiod. Interruptions in these environmental signals, caused by factors like climate change or damming of rivers, can disrupt the timing of gamete release and larval development, potentially reducing reproductive success. Considering this, what strategies could be employed to mitigate the negative impacts of altered environmental cues on mussel reproduction?", "response": "Monitor and manage water temperature and flow to mimic natural seasonal patterns in habitats affected by human intervention. Implement adaptive management strategies, such as controlled water releases from dams, to restore key environmental cues for mussel reproduction. Consider conservation breeding programs to support populations at risk from disrupted reproductive cycles."}
-{"question": "FUTURE DIRECTIONS This study examined the impact of peer mentoring on first-year university students’ academic adjustment. Although positive effects were observed, the intervention was limited to a single semester and did not assess long-term outcomes. Additionally, mentors were volunteer students without formal training, which may have influenced the quality of support provided. Future research could investigate the effectiveness of structured mentor training and evaluate the persistence of academic benefits across multiple semesters.", "response": "Implement structured training programs for peer mentors to enhance the quality of support for first-year students. Conduct longitudinal studies to examine whether the academic benefits of peer mentoring persist beyond the initial semester. Explore variations in mentoring effectiveness based on mentor experience and training."}
-{"question": "Recent studies have suggested that acclimation to variable environmental conditions, such as changes in salinity, can influence physiological and behavioral traits in freshwater mollusks. In particular, salinity stress has been shown to affect the filtration rate and shell growth in several unionid species. However, little is known about the capacity for rapid acclimatization in adult versus juvenile individuals when exposed to short-term salinity fluctuations. How might the age or developmental stage of freshwater mollusks modulate their physiological responses to acute changes in salinity, and what experimental approaches could be used to investigate this?", "response": "Design experiments exposing both adult and juvenile freshwater mollusks to controlled, short-term salinity fluctuations. Measure physiological parameters such as filtration rate, shell growth, and survival in each age group. Compare the responses between adults and juveniles to assess differences in acclimatization capacity. Use repeated exposure trials to evaluate potential for rapid or reversible acclimation in both developmental stages."}
-{"question": "Recent advances in remote sensing technologies have enabled real-time monitoring of surface water bodies, allowing researchers to track fluctuations in water levels and identify early signs of hydrological drought. By integrating high-resolution satellite imagery with ground-based hydrological data, water managers can develop more effective strategies for maintaining water supply resilience during prolonged dry periods.", "response": "Integrate high-resolution satellite imagery with ground-based hydrological data to monitor surface water fluctuations in real time. Use this combined approach to identify early signs of hydrological drought and to inform strategies that enhance water supply resilience during extended dry periods."}
-{"question": "Recent assessments of coastal infrastructure emphasize the necessity for resilience against climate-induced hazards, such as sea level rise and increased storm frequency. In planning new maritime terminals, it is crucial to incorporate adaptive designs that allow for future modifications and to prioritize materials and construction techniques that reduce environmental footprint. Furthermore, stakeholder involvement from local communities has been shown to improve both social acceptance and the long-term sustainability of port projects.", "response": "Integrate adaptive design features in maritime terminal planning to enhance resilience to climate hazards. Prioritize environmentally friendly materials and construction techniques to minimize ecological impact. Include local community stakeholders in planning processes to strengthen social acceptance and sustainability of port developments."}
-{"question": "While much work has focused on the impact of rising average temperatures on ecosystem dynamics, less attention has been paid to the effects of increased temperature variability and more frequent temperature extremes. Recent modeling suggests that not only mean temperature but also the frequency and duration of heatwaves can significantly alter species distributions, community composition, and ecosystem resilience. For example, repeated exposure to short-term heat spikes may exceed the physiological thresholds of some organisms, leading to local extinctions or shifts in competitive balance. Moreover, temperature variability can disrupt phenological synchronization between interacting species, such as pollinators and flowering plants, potentially cascading through food webs. Despite these potential consequences, there is a lack of empirical data on how increased thermal variability, as opposed to gradual warming, shapes long-term ecological outcomes. How can future research better address the ecological impacts of increasing temperature variability and extreme events associated with climate change?", "response": "Design field and laboratory experiments that expose organisms and ecological communities to realistic patterns of temperature variability and extreme events, rather than only gradual warming. Collect long-term data on population dynamics, species interactions, and ecosystem processes under fluctuating thermal regimes. Model the cumulative and interactive effects of heatwaves and cold snaps on phenology, survival, and reproduction. Investigate how increased temperature variability affects the resilience and stability of ecosystems. Compare the impacts of mean temperature increases with those of heightened variability to inform management and conservation strategies under climate change."}
-{"question": "Recent studies have highlighted the importance of urban green spaces in promoting public health and environmental quality. Urban parks and green roofs contribute to improved air quality, reduced urban heat island effects, and provide recreational opportunities that enhance residents' mental and physical well-being. However, disparities in access to green spaces often exist across socioeconomic groups, leading to unequal health benefits. To address these challenges, city planners and policymakers should integrate equitable green infrastructure into urban development, prioritize investment in underserved neighborhoods, and engage communities in the design and maintenance of green spaces.", "response": "Integrate equitable green infrastructure, such as parks and green roofs, into urban planning to improve public health and environmental quality. Prioritize creating and maintaining green spaces in underserved neighborhoods to reduce disparities in access and health benefits. Involve local communities in the design and stewardship of green spaces to ensure they meet residents' needs and encourage long-term sustainability."}
-{"question": "Discussion: While previous research has highlighted the influence of classroom climate on students’ academic motivation and outcomes, few studies have systematically explored how teacher feedback style—such as providing process-focused versus outcome-focused comments—affects students’ resilience and adaptive help-seeking in challenging subject areas. Recent findings suggest that process-oriented feedback can foster a growth mindset, encouraging persistence and greater willingness to seek assistance. However, the impact of such feedback may differ across subjects and student demographics, indicating the need for further investigation into its long-term effects on learning behaviors.", "response": "Examine how teacher feedback style (process-focused versus outcome-focused) influences students’ resilience and help-seeking behaviors in challenging subjects. Assess whether process-oriented feedback promotes a growth mindset and persistence across different student groups and subject areas."}
-{"question": "In recent years, dynamic pricing models have been proposed as a method to better align residential electricity demand, including electric vehicle (EV) charging, with periods of low system load and high renewable generation. However, research indicates that without proper user incentives and real-time communication, dynamic pricing may have limited effectiveness due to consumers’ lack of price responsiveness and insufficient integration with smart charging infrastructure. What implications do these findings have for the implementation of dynamic pricing strategies in managing EV loads?", "response": "Ensure that dynamic pricing strategies for EV charging are paired with strong user incentives and real-time communication tools to encourage consumer price responsiveness. Invest in smart charging infrastructure that can respond automatically to price signals. Do not rely solely on dynamic pricing models without supporting technologies and consumer engagement, as this may limit their effectiveness in managing EV load and aligning demand with grid conditions."}
-{"question": "While prior research has extensively examined the impact of classroom environment on student academic achievement, fewer studies have investigated how physical learning spaces—such as flexible seating arrangements, natural lighting, and open-plan designs—affect students' motivation, engagement, and collaborative behavior. The present study employed a mixed-methods approach, combining student surveys, behavioral observations, and teacher interviews across eight primary schools with diverse classroom layouts. Results indicated that students in classrooms with flexible seating and increased natural lighting reported higher motivation and demonstrated greater collaborative engagement during group activities. However, some teachers noted challenges in managing student focus in open-plan designs. Future research should explore long-term academic outcomes associated with different physical learning environments and identify strategies to balance engagement with classroom management.", "response": "Incorporate flexible seating and natural lighting to foster student motivation and enhance collaboration in classroom settings. Monitor and address potential challenges with student focus in open-plan designs through targeted classroom management strategies. Conduct further research to evaluate the long-term effects of diverse physical learning spaces on academic achievement and to refine approaches that optimize both student engagement and classroom order."}
-{"question": "In marine invertebrates, enzyme activity often exhibits plasticity in response to environmental fluctuations, such as changes in pH or salinity. For example, the activity of carbonic anhydrase in mussels has been shown to increase under low pH conditions, facilitating acid-base regulation (Michaelidis et al., 2005). However, the extent to which this plasticity buffers physiological performance is not fully understood, particularly when multiple stressors are present. Future research should focus on how enzyme plasticity affects overall resilience in estuarine populations confronted with simultaneous changes in pH and salinity.", "response": "Investigate enzyme activity plasticity as a mechanism for coping with environmental fluctuations in marine invertebrates. Assess how changes in both pH and salinity influence physiological resilience, with a focus on estuarine populations exposed to multiple simultaneous stressors."}
-{"question": "Several studies have shown that urbanization can influence the prevalence and dynamics of vector-borne diseases, such as dengue and Zika, due to changes in habitat availability and human behavior. Urban environments often provide abundant breeding sites for Aedes mosquitoes, for example in water storage containers, discarded waste, and poorly maintained drains. At the same time, increased population density and movement can facilitate disease transmission. However, interventions such as improved waste management, regular community clean-up campaigns, and targeted public health education can reduce mosquito breeding and interrupt transmission cycles. How should public health strategies be adapted to address the unique challenges of vector control in rapidly urbanizing settings?", "response": "Develop public health strategies that prioritize improved waste management and elimination of standing water in urban environments. Organize regular community clean-up campaigns to remove potential mosquito breeding sites. Implement targeted health education programs to raise community awareness about vector-borne disease prevention. Collaborate with local authorities to ensure proper maintenance of urban infrastructure, such as drains and water storage systems. Monitor population movement and density to inform timely and focused vector control interventions in urban areas."}
-{"question": "The study investigated the impact of implementing a flexible school start time policy on adolescent sleep duration and academic performance across five secondary schools. Results indicated that delaying school start times by 45 minutes led to a significant increase in average nightly sleep duration and a modest improvement in overall academic performance, particularly in mathematics and science subjects. However, some challenges were reported, including disruptions to after-school activities and transport schedules. The authors suggest further exploration of optimal start times and the long-term effects of such policies on student wellbeing and achievement.", "response": "Adopt flexible or delayed school start time policies to increase adolescent sleep duration and potentially improve academic performance, especially in mathematics and science. Monitor and address possible challenges such as adjustments to after-school activities and transportation logistics. Conduct further research to determine the optimal school start times and assess the long-term impact on student wellbeing and academic outcomes."}
-{"question": "Recent studies have shown that the expansion of urban green spaces has both beneficial and adverse effects on local biodiversity. While increased vegetation can provide habitats for native pollinators, it may also facilitate the spread of invasive plant species, impacting ecosystem services such as pollination and soil stabilization. In some cases, urban green corridors can act as conduits for invasive species, altering native species composition. It is crucial to balance biodiversity enhancement with carefully planned management to prevent unintended ecological consequences. Further research should focus on the development of integrated urban planning strategies that optimize benefits for native species while minimizing the risk of invasive species proliferation.", "response": "Develop integrated urban planning strategies to expand green spaces while prioritizing native biodiversity. Monitor and manage urban green corridors to prevent the spread of invasive plant species. Balance the creation of habitats for native pollinators with measures that limit invasive species establishment. Conduct research to evaluate the effectiveness of management practices in supporting ecosystem services and maintaining native species composition in urban environments."}
-{"question": "In this randomized controlled trial evaluating the efficacy of community health worker-led home visits on improving childhood vaccination rates in rural districts, it was observed that targeted engagement with caregivers, combined with reminder systems, led to significant increases in timely completion of immunization schedules. However, logistical challenges such as vaccine stockouts and transportation barriers persisted. The study highlights the importance of addressing both demand- and supply-side factors to sustain improvements. Future initiatives should assess integrated approaches that enhance supply chain efficiency alongside community mobilization.", "response": "Combine community health worker engagement with reminder systems to improve childhood vaccination rates. Address logistical challenges such as vaccine stockouts and transportation barriers to sustain immunization improvements. Implement integrated approaches that enhance both supply chain efficiency and community mobilization for lasting impact."}
-{"question": "Recent studies have explored the impact of distributed energy resources, such as rooftop solar panels and residential battery storage, on urban electricity distribution networks. While these technologies have the potential to reduce overall grid demand and lower carbon emissions, their integration can also introduce challenges, including voltage fluctuations, reverse power flows, and increased complexity in grid management. In particular, high penetration of distributed generation may necessitate infrastructure upgrades and advanced control strategies to maintain reliability and power quality within urban grids.", "response": "Implement advanced grid management systems to handle voltage fluctuations and reverse power flows resulting from high penetration of distributed energy resources. Plan for infrastructure upgrades in urban electricity networks to ensure reliability and power quality as more rooftop solar and residential battery storage are integrated. Develop control strategies that accommodate increased complexity from distributed generation while maximizing environmental benefits and grid stability."}
-{"question": "Recent studies indicate that integrating distributed energy resources (DERs), such as rooftop solar panels and battery storage, into residential neighborhoods can alter electricity demand patterns and reduce overall reliance on centralized power plants. However, challenges remain regarding load forecasting accuracy, voltage regulation, and system stability, particularly during periods of high DER penetration and variable renewable generation. What operational considerations should grid operators prioritize when managing a distribution network with high levels of DER integration?", "response": "Prioritize accurate load forecasting that accounts for the variability introduced by DERs. Implement advanced voltage regulation technologies and real-time monitoring systems to maintain system stability. Develop adaptive control strategies to manage bidirectional power flows and mitigate the impacts of fluctuating renewable generation. Coordinate distributed resources through demand response programs and local energy management systems to ensure reliable grid operation during periods of high DER penetration."}
-{"question": "While the intervention aimed to increase physical activity among adolescents showed significant short-term improvement, follow-up data collected six months post-program indicated a decline in activity levels, nearing baseline measures. This suggests challenges in sustaining behavior change over time. To address this, future implementations should explore integrating ongoing support mechanisms, such as periodic booster sessions or incorporating family and community engagement, to maintain increased physical activity levels in the long term.", "response": "Integrate ongoing support mechanisms, such as periodic booster sessions and involving families or communities, to help sustain increased physical activity among adolescents after the initial intervention period. Monitor long-term outcomes and adapt strategies as needed to maintain behavioral changes."}
-{"question": "A randomized controlled trial was conducted to assess the effect of mindfulness meditation on stress and cognitive function in university students. Participants were randomly assigned to either a mindfulness meditation group, which practiced guided meditation for 20 minutes daily over 4 weeks, or a control group with no intervention. At the end of the study, the mindfulness group exhibited significantly lower perceived stress scores and improved working memory performance compared to the control group. These findings suggest that regular mindfulness practice may be an effective strategy to reduce stress and enhance cognitive function among university students.", "response": "Implement a 4-week mindfulness meditation intervention for university students to reduce perceived stress and improve working memory. Randomly assign participants to meditation or control groups, using daily guided sessions. Assess stress and cognitive function pre- and post-intervention to evaluate effectiveness of mindfulness practice."}
-{"question": "In aquatic invertebrates, adaptation to hypoxic environments is often discussed in terms of physiological flexibility. While some species enhance their oxygen-uptake efficiency through increased gill surface area or improved hemocyanin oxygen affinity, others modify their behavioral responses to minimize energy expenditure under low-oxygen conditions. However, several studies indicate that not all invertebrate species show such adaptations, particularly those inhabiting environments with relatively stable oxygen levels. What factors might explain the absence of hypoxia-related physiological or behavioral plasticity in these species, despite theoretical predictions that such flexibility should evolve under fluctuating or low-oxygen regimes?", "response": "Lack of hypoxia-related physiological or behavioral plasticity in certain aquatic invertebrates may be explained by the relative stability of oxygen levels in their habitats, reducing the selective pressure for such adaptations. If hypoxic events are rare or mild, energy costs associated with maintaining or evolving additional plastic traits may outweigh their benefits. Furthermore, species with inherently low metabolic rates or alternative strategies, such as dormancy or valve closure, may rely on passive tolerance rather than active compensation. Ecological context, life history traits, and evolutionary trade-offs all contribute to the absence of observed plasticity despite theoretical predictions."}
-{"question": "Recommendations The study highlights the importance of integrating mental health screening into primary healthcare settings, especially in underserved rural communities. Early identification of common mental health disorders in these areas can improve patient outcomes and reduce the burden on specialized care. Training primary care providers to recognize symptoms and provide basic counselling or referral services is essential. Additionally, community education initiatives to reduce stigma around mental health can encourage individuals to seek help. Policymakers should allocate resources to increase accessibility of mental health services and support ongoing research to monitor the effectiveness of integrated care models.", "response": "Integrate mental health screening into primary healthcare in rural areas to enable early identification of disorders. Train primary care providers in recognising symptoms and offering basic counselling or referrals. Launch community education programs to reduce stigma and promote help-seeking. Allocate resources to expand mental health service accessibility. Support research to assess the effectiveness of integrated mental health care in underserved communities."}
-{"question": "Recent research into the resilience of coastal communities to climate-related hazards has identified social capital—such as trust, shared norms, and network connections—as a significant factor influencing both preparedness and recovery. However, there is still a limited understanding of how different forms of social capital (bonding, bridging, and linking) interact with infrastructural vulnerability and local governance capacity to affect the overall adaptive capacity of these communities. How might future studies better integrate these multi-dimensional aspects of social capital with physical and institutional factors to develop more comprehensive models of community adaptation to climate change impacts?", "response": "Develop integrative frameworks that explicitly incorporate bonding, bridging, and linking social capital alongside measures of infrastructural vulnerability and governance capacity. Use mixed-methods approaches to capture qualitative aspects of social relationships and quantitative indicators of infrastructure and governance. Examine interactions between social networks and institutional support systems during both hazard preparedness and post-disaster recovery. Test the models across diverse coastal contexts to assess their generalizability and refine adaptive capacity indicators accordingly. Collaborate with local stakeholders to ensure contextual relevance and practical applicability of adaptation models."}
-{"question": "Urban green spaces are increasingly recognized for their role in mitigating the urban heat island effect and improving public health. However, as cities expand and densify, access to green spaces can become uneven, particularly affecting vulnerable populations such as low-income residents. To maximize the benefits of urban greenery, planners and policymakers must address challenges related to equitable distribution, maintenance costs, and potential trade-offs with housing and infrastructure needs. Integrating green space planning into urban development strategies is therefore critical to ensure both environmental sustainability and social equity as cities continue to grow.", "response": "Prioritize the equitable distribution of urban green spaces to ensure all residents, especially vulnerable groups, benefit from reduced heat and improved health. Include green space planning as an integral component of urban development and densification strategies. Address maintenance costs and resource allocation to sustain the quality and accessibility of urban greenery. Balance the expansion of green spaces with housing and infrastructure demands to avoid unintended social or economic trade-offs. Monitor access to green spaces across neighborhoods and adapt policies to reduce disparities while supporting environmental sustainability and public well-being in rapidly growing cities."}
-{"question": "A study investigating the effects of urban green spaces found that high tree canopy density is associated with lower surface temperatures and improved air quality. However, it also noted increased pollen counts in densely vegetated areas, leading to higher rates of seasonal allergies in nearby residents. To effectively manage urban green spaces, city planners must balance the benefits of temperature reduction and air purification with potential public health impacts from allergenic plants. The researchers recommend diversifying plant species, prioritizing low-pollen varieties, and regularly monitoring allergen levels to minimize adverse health effects while maintaining ecosystem services.", "response": "In urban green space planning, prioritize tree species that provide cooling and air purification benefits but produce low levels of allergenic pollen. Diversify plantings to reduce allergen exposure for residents. Monitor and manage pollen counts in densely vegetated areas to minimize health risks. Balance ecosystem services with public health considerations in urban vegetation strategies."}
-{"question": "Given that rapid urbanization has led to increased pressure on water resources in metropolitan regions, various water management strategies have been implemented to ensure sustainable use. These include demand-side measures such as public awareness campaigns and supply-side interventions like the development of alternative water sources. However, the effectiveness of these approaches in reducing per capita water consumption remains contested, particularly when accounting for socioeconomic disparities across neighborhoods. What considerations should guide future water management policies to address both sustainability and equity in urban settings?", "response": "Develop water management policies that integrate both supply- and demand-side strategies, with a focus on addressing socioeconomic disparities. Ensure that interventions are accessible and effective for all neighborhoods, and continually monitor per capita consumption to evaluate and adapt approaches for both sustainability and equity."}
-{"question": "Current research on urban green infrastructure often focuses on large public parks and tree-lined streets, but there is less emphasis on the role of small-scale interventions such as green roofs, vertical gardens, and pocket parks in densely built environments. Studies suggest that these micro-scale green spaces can improve urban biodiversity, mitigate the urban heat island effect, and enhance residents' mental wellbeing, especially in neighborhoods with limited access to larger green areas. However, challenges remain in terms of maintenance, community engagement, and equitable distribution. What strategies can urban planners and local governments adopt to maximize the benefits of small-scale green infrastructure while addressing these challenges?", "response": "Encourage policies that incentivize building owners to install green roofs and vertical gardens, particularly in areas lacking traditional green space. Provide technical and financial support for the maintenance of micro-scale green infrastructure, ensuring long-term sustainability. Engage local communities in the design, implementation, and upkeep of pocket parks and other small green spaces to foster a sense of ownership and address local needs. Develop equitable planning frameworks to prioritize small-scale green interventions in underserved neighborhoods. Monitor the ecological and social impacts of these interventions regularly to adapt strategies and maximize benefits for urban residents."}
-{"question": "While prior research has focused on the influence of teacher expectations on student self-concept and achievement, less attention has been given to the role of peer perceptions. Emerging evidence indicates that students who are viewed more positively by their peers tend to experience greater academic engagement and motivation. However, it remains unclear whether peer perceptions interact with teacher expectations to influence student outcomes, suggesting a need for further investigation into the combined effects of social and educational factors.", "response": "Explore the interaction between peer perceptions and teacher expectations in shaping student academic engagement and motivation. Examine whether positive peer perceptions amplify or moderate the effects of high teacher expectations on student outcomes."}
-{"question": "Recent advancements in smart grid technology have enabled real-time monitoring and dynamic management of electricity demand and supply. How can the integration of renewable energy sources, such as solar and wind, in conjunction with demand response strategies, contribute to improving grid resilience and reducing greenhouse gas emissions?", "response": "Integrate renewable energy sources like solar and wind into the smart grid to diversify electricity generation and lower reliance on fossil fuels. Employ demand response strategies that adjust consumer electricity usage in real time to better match renewable energy supply fluctuations, thereby enhancing grid resilience. This approach can reduce greenhouse gas emissions by maximizing the use of clean energy and decreasing the need for carbon-intensive backup generation, while supporting a more stable and reliable power system."}
-{"question": "In designing longitudinal educational studies, it is crucial to consider not only the diversity of the student population but also the stability of school environments over time. Variations in school leadership, policy changes, or community events can influence outcomes. What factors should researchers account for to ensure the reliability and validity of their longitudinal findings across different educational settings?", "response": "Account for changes in school leadership, policy shifts, and significant community events that may occur over the study period. Monitor and document these contextual factors to control for their potential impact on outcomes. Ensure sampling includes schools with varied levels of stability and regularly assess environmental changes to support the reliability and validity of longitudinal findings."}
-{"question": "Recent studies on the adaptation of freshwater mussels to hypoxic conditions suggest that some species, including A. anatina, are capable of temporarily reducing their oxygen consumption and shifting their metabolic pathways to survive periods of low dissolved oxygen. This metabolic flexibility appears to be more pronounced in populations from habitats with frequent hypoxia events, compared to those from consistently well-oxygenated environments. However, the long-term consequences of repeated hypoxia exposure on growth and reproductive success are still unclear. What adaptive strategies do freshwater mussels employ to cope with hypoxia, and what are the potential trade-offs associated with these physiological adjustments?", "response": "Employ metabolic depression and anaerobic metabolic pathways to survive hypoxic conditions. Increase the capacity to tolerate low oxygen by reducing activity and closing valves for extended periods. Populations from frequently hypoxic habitats may exhibit greater metabolic flexibility. Potential trade-offs include reduced growth rates and delayed reproduction due to energy reallocation and prolonged periods of inactivity during hypoxia."}
-{"question": "In the context of urban transportation planning, the integration of smart technologies such as real-time traffic monitoring, adaptive traffic lights, and data-driven route optimization has been proposed to decrease congestion and emissions. While these measures offer technical solutions, their effectiveness is also contingent on public acceptance and behavioral adjustments by commuters. Considering challenges related to data privacy, infrastructure costs, and the need for coordinated policy across city departments, how can municipalities ensure the successful implementation and long-term sustainability of smart transportation initiatives?", "response": "Foster public engagement and transparency to build trust around smart technology use and data privacy in transportation initiatives. Secure funding through partnerships and phased investments to manage infrastructure costs effectively. Encourage interdepartmental collaboration for cohesive policy development and implementation. Promote commuter behavioral change through targeted incentives and continuous education on the environmental and social benefits of smart transportation systems. Establish regular evaluation and adaptation mechanisms to ensure the ongoing effectiveness and sustainability of smart transportation measures."}
-{"question": "This study explored the effects of peer group composition on students' engagement and achievement in science classes. In contrast to previous research that primarily examined individual-level factors, we examined how the diversity of academic ability and motivation within peer groups influenced collective classroom dynamics and individual student outcomes. Our findings indicate that heterogeneous groups foster greater engagement and collaborative problem solving, while homogeneous groups may benefit students with lower initial achievement through targeted support. Future research should analyze the long-term impacts of peer group dynamics and identify strategies for teachers to optimize group formation to enhance both academic and socio-emotional outcomes.", "response": "Investigate how the diversity of academic ability and motivation within peer groups affects students' engagement and achievement in science classes. Analyze the influence of heterogeneous versus homogeneous group composition on collaborative problem solving and targeted support for lower-achieving students. Examine strategies for teachers to optimize peer group formation to maximize academic and socio-emotional outcomes."}
-{"question": "This study examined the impact of integrating green infrastructure, such as urban parks and green roofs, on air quality and urban heat island effects in densely populated cities. The analysis utilized data collected from five metropolitan areas across different climate zones, measuring temperature, particulate matter concentrations, and community health indicators before and after implementation of large-scale greening projects. Findings revealed a significant decrease in ambient temperatures, improved air quality indices, and positive trends in respiratory health outcomes. However, disparities in access to green spaces persisted, with lower-income neighborhoods benefiting less from these interventions. The results indicate that strategic placement and equitable distribution of green infrastructure are crucial for maximizing environmental and health benefits across urban populations.", "response": "Implement green infrastructure projects such as urban parks and green roofs in metropolitan areas to reduce urban heat island effects and improve air quality. Collect and analyze environmental and health data before and after greening interventions to assess impact. Ensure equitable distribution of green spaces to address disparities and maximize benefits for all neighborhoods, including lower-income communities."}
-{"question": "Recent research has revealed that phenotypic plasticity in response to temperature variation may involve epigenetic mechanisms such as DNA methylation and histone modification, which can alter gene expression without changing the underlying genetic code. In some aquatic invertebrates, exposure to fluctuating temperatures has been shown to induce heritable changes in stress response pathways across generations (Putnam et al., 2016). This raises the question of whether thermal acclimation can be influenced not only by immediate environmental cues but also by parental or even grandparental thermal experiences. How might transgenerational epigenetic inheritance affect the capacity of populations to cope with rapid temperature changes in their environments?", "response": "Explore the role of epigenetic mechanisms like DNA methylation and histone modification in mediating thermal acclimation. Investigate whether parental or ancestral exposure to temperature fluctuations can enhance offspring resilience through heritable changes in gene expression. Consider that transgenerational epigenetic inheritance could increase the adaptive capacity of populations facing rapid environmental temperature changes, providing a potential buffer during periods of climatic instability."}
-{"question": "A recent analysis investigated the impact of urban green spaces on local air quality, focusing on reductions in particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations. The findings indicate that neighborhoods with higher tree canopy coverage experienced significantly lower average levels of PM2.5 and NO2 throughout the year, even when accounting for traffic density and industrial activity. The study also highlights that the effectiveness of green spaces in mitigating air pollution is influenced by factors such as species composition, maintenance practices, and spatial arrangement within the urban landscape. Recommendations emphasize strategic planning of green infrastructure to maximize air quality benefits, especially in densely populated or high-traffic areas. Future research is suggested to quantify long-term health outcomes linked to increased urban greenery and to determine optimal combinations of vegetation types for pollution reduction.", "response": "Prioritize increasing tree canopy coverage in urban planning to improve local air quality, particularly in areas with high traffic and population density. Select vegetation species and arrange green spaces strategically to maximize reductions in PM2.5 and NO2 concentrations. Implement effective maintenance practices to sustain the pollution-mitigating benefits of green infrastructure. Consider monitoring long-term health outcomes associated with expanded urban greenery. Conduct further research to identify the most effective combinations of plant species for air pollution reduction in different urban contexts."}
-{"question": "Recent studies have explored how peer influences shape students' academic engagement and motivation. However, there is limited understanding of how the composition of student groups—such as diversity in achievement levels or backgrounds—modifies these peer effects over time. What practical steps can educators take to create group environments that foster positive peer influence on academic motivation, and what further research is needed to understand the role of group composition in this process?", "response": "Form student groups with intentional diversity in achievement levels and backgrounds to promote positive peer influence on academic motivation. Monitor and adjust group dynamics to ensure equitable participation and support. Encourage collaborative activities that leverage individual strengths and foster mutual encouragement. Conduct further research to examine how group composition interacts with peer influence over time and identify optimal configurations for sustained motivation and engagement."}
-{"question": "Recent evidence suggests that students' self-efficacy beliefs can mediate the relationship between parental involvement and academic achievement (e.g., Fan & Williams, 2010; Jeynes, 2012; Topor et al., 2010). However, the current research observed that this mediation was significant only for mathematics, not for reading. One possible explanation is that parental involvement behaviors may be more aligned with supporting math-specific tasks, such as homework assistance or discussing problem-solving strategies, whereas reading-related support may be less direct or more difficult to quantify (Patall, Cooper, & Robinson, 2008). Furthermore, cultural expectations about parental roles in different subject areas could play a part. Future research should distinguish between types of parental involvement and explore subject-specific pathways of influence on students' academic self-efficacy.", "response": "Differentiate between types of parental involvement when assessing their impact on academic self-efficacy in various subjects. Acknowledge that subject-specific parental support, such as math-related assistance, may have stronger effects on students' self-efficacy and achievement. Investigate cultural factors that shape parental involvement in different academic domains. Explore subject-specific pathways when examining how parental involvement influences students' self-efficacy and academic performance."}
-{"question": "Urban water utilities are increasingly challenged by aging infrastructure, population growth, and shifting precipitation patterns due to climate change. Recent assessments recommend integrating advanced monitoring technologies and decentralized water reuse systems to enhance resilience. How should urban planners prioritize investments to ensure both short-term reliability and long-term sustainability of municipal water supplies?", "response": "Prioritize investments in advanced monitoring technologies to detect leaks and inefficiencies in real time, coupled with the development of decentralized water reuse systems to reduce dependence on centralized sources. Balance immediate infrastructure repairs with long-term strategies that promote adaptive capacity and sustainable water management."}
-{"question": "The integration of distributed renewable energy sources, such as rooftop solar panels and small-scale wind turbines, into the smart grid can lead to bidirectional power flows and increased variability in electricity generation. This scenario requires advanced grid management strategies, including adaptive demand response, real-time monitoring, and smart inverters, to maintain grid stability and reliability. As more households and businesses produce their own electricity and occasionally feed surplus energy back into the grid, traditional grid operation models must evolve to accommodate these changes. What are the key operational challenges posed by high penetration of distributed renewables in the smart grid, and how can advanced technologies address these challenges?", "response": "Anticipate challenges such as bidirectional power flows, voltage fluctuations, and increased variability in generation with high penetration of distributed renewables. Employ advanced technologies like smart inverters, real-time monitoring systems, and adaptive demand response programs to enhance grid stability, manage variability, and support reliable integration of distributed energy resources."}
-{"question": "Recent research highlights the importance of stakeholder engagement in coastal zone management to address the challenges of climate change and rising sea levels. Effective coastal zone management requires balancing economic development, environmental conservation, and social interests. Participatory approaches involving local communities, industry representatives, and government agencies have been shown to enhance adaptive capacity and facilitate the implementation of sustainable policies. Furthermore, integrating scientific knowledge with traditional ecological practices can improve decision-making and foster community resilience. However, obstacles such as conflicting interests, limited resources, and gaps in communication remain significant challenges for collaborative coastal management strategies. It is recommended that future efforts focus on strengthening multi-level governance structures, providing targeted capacity-building programs, and developing inclusive platforms for knowledge exchange to ensure the long-term sustainability of coastal zones.", "response": "Involve diverse stakeholders in coastal zone management to address climate change and rising sea levels. Balance economic, environmental, and social interests by employing participatory approaches. Integrate scientific knowledge with traditional ecological practices to improve resilience and decision-making. Strengthen multi-level governance and provide capacity-building programs to overcome challenges in collaborative coastal management. Develop inclusive platforms for knowledge exchange to promote sustainable coastal zone policies."}
-{"question": "The implementation of sustainable agricultural practices has been shown to improve soil health, enhance biodiversity, and increase resilience to climate variability. However, smallholder farmers often face challenges such as limited access to resources, lack of technical knowledge, and inadequate support from local institutions. In addition, market incentives for sustainably produced goods remain insufficient in many regions, hindering widespread adoption. Collaborative efforts among government agencies, non-governmental organizations, and the private sector are essential to provide training, financial assistance, and market access. Empowering farmers through education and community-driven initiatives can further promote the transition to sustainable agriculture.", "response": "Facilitate the adoption of sustainable agricultural practices by providing smallholder farmers with access to training, resources, and financial support. Foster partnerships among government, NGOs, and the private sector to strengthen market incentives for sustainably produced goods. Encourage community-driven initiatives and educational programs to empower farmers and enhance resilience to climate variability."}
-{"question": "Recent advances in remote sensing technology have enabled the detection of subtle changes in wetland ecosystems, such as shifts in water levels, vegetation types, and soil moisture. These changes are often linked to both natural climate variability and human-induced factors, including land use changes and water extraction. What are the benefits and challenges of using high-resolution satellite imagery to monitor the health of wetlands over time?", "response": "Utilize high-resolution satellite imagery to track temporal changes in wetland extent, vegetation cover, and hydrological patterns. Address challenges such as cloud cover interference, spatial resolution limitations, and the need for ground-truth data to validate remote observations."}
-{"question": "Our investigation focused primarily on the direct physiological responses of aquatic invertebrates to changing salinity levels, without incorporating the potential influence of fluctuating pH or dissolved oxygen concentrations. Furthermore, we did not differentiate between short-term and long-term acclimation strategies, which might yield different adaptive responses. Future studies should consider multifactorial experiments that examine combined stressors and the temporal scale of acclimation to better understand resilience in these organisms.", "response": "Conduct multifactorial experiments that include varying salinity, pH, and dissolved oxygen to assess combined effects on aquatic invertebrates. Distinguish between short-term and long-term acclimation strategies to understand adaptive responses and resilience."}
-{"question": "How do differences in school resources between urban and rural areas contribute to disparities in student academic outcomes, and what strategies can be implemented to address these resource gaps?", "response": "Identify and address disparities in school funding, infrastructure, and access to qualified teachers between urban and rural schools. Implement targeted resource allocation and investment initiatives to ensure equitable learning environments. Develop policies that support recruitment and retention of educators in under-resourced rural areas. Foster partnerships between urban and rural schools to share best practices, resources, and professional development opportunities. Monitor academic outcomes to evaluate the effectiveness of interventions aimed at closing resource gaps."}
-{"question": "In many aquatic invertebrates, periods of hypoxia or low food availability can prompt metabolic depression, a strategy that reduces overall energy demand and preserves vital functions. Discuss how metabolic depression might interact with seasonal temperature variation and fluctuating oxygen levels in determining survival strategies among freshwater mussels. What implications does this have for their resilience to environmental change?", "response": "Employ metabolic depression during hypoxia or low food periods to conserve energy and maintain vital functions in freshwater mussels. Integrate this strategy with seasonal temperature and oxygen fluctuations to optimize survival, reducing metabolic activity when environmental conditions become unfavorable. Recognize that the ability to enter metabolic depression enhances resilience to environmental change, potentially allowing mussels to withstand more frequent or prolonged stress events associated with climate variability."}
-{"question": "Previous research has primarily focused on the direct influence of teacher expectations on academic outcomes such as grades and standardized test scores. However, less attention has been given to how teacher expectations might shape students’ long-term attitudes towards learning, including their willingness to take on academic challenges or their resilience in the face of setbacks. Considering these broader motivational outcomes, how might teacher expectations established early in the school year impact students' perseverance and approach to learning new or difficult material over time?", "response": "Foster positive teacher expectations early in the school year to encourage students’ perseverance and willingness to engage with challenging material. Recognize that teacher expectations can shape not only academic performance but also students’ long-term attitudes toward learning and their resilience in overcoming obstacles."}
-{"question": "Recent advancements in digital technologies have enabled ports to implement smart systems for logistics optimization, security, and environmental monitoring. However, integrating these technologies poses challenges related to data interoperability, cybersecurity, and high upfront costs. How can ports effectively balance the adoption of smart port technologies with the need to maintain operational efficiency and ensure data security, while also considering budget constraints?", "response": "Ports can balance the adoption of smart technologies by developing phased implementation plans that prioritize essential upgrades aligned with operational goals. Investing in interoperable platforms and industry standards helps minimize integration issues. Establishing robust cybersecurity protocols and regular staff training can mitigate security risks. To address budget constraints, ports may seek public-private partnerships, government grants, or pilot projects to demonstrate value before large-scale investments. Continuous evaluation of technology performance ensures that efficiency gains justify expenditures."}
-{"question": "Recent research highlights that remote sensing technologies, such as satellite imagery and drone-based sensors, are increasingly used to monitor agricultural water use and detect early signs of crop stress under changing climate conditions. How can these technological advancements improve drought resilience in agricultural systems, and what limitations might still exist in their implementation?", "response": "Leverage remote sensing technologies to monitor agricultural water use and identify early crop stress indicators, enhancing drought resilience through timely interventions. Recognize that limitations may include data resolution constraints, high costs of advanced sensors, and the need for technical expertise for data interpretation and integration into farm management practices."}
-{"question": "Given the rapid advancement of artificial intelligence applications in healthcare diagnostics, there remain ethical concerns regarding data privacy and algorithmic bias. Additionally, most current studies focus on short-term diagnostic accuracy without evaluating long-term patient outcomes or the integration process within existing clinical workflows. Future research should address these issues to ensure responsible deployment and sustained benefits of AI in healthcare.", "response": "Address ethical concerns such as data privacy and algorithmic bias when deploying AI in healthcare diagnostics. Evaluate both short-term diagnostic accuracy and long-term patient outcomes in studies. Investigate the integration of AI tools within existing clinical workflows to ensure responsible and effective implementation."}
-{"question": "Limitations One notable limitation of this study is the reliance on self-reported dietary intake data, which may be prone to recall bias and social desirability bias. Additionally, the cross-sectional design of the research restricts the ability to infer causal relationships between nutrition knowledge and glycemic control among participants. Furthermore, the sample was drawn from a single urban clinic, potentially limiting the generalizability of the findings to rural or more diverse populations. Finally, important confounders such as physical activity levels and medication adherence were not fully controlled for in the analysis.", "response": "Interpret results with caution due to the use of self-reported dietary intake, which may be affected by recall and social desirability biases. Avoid making causal claims based on cross-sectional data. Do not generalize findings to populations outside the single urban clinic studied. Consider unmeasured confounders, such as physical activity and medication adherence, when evaluating the study’s conclusions."}
-{"question": "Unlike species that rely on rapid movement to evade threats or capture prey, certain sessile or slow-moving aquatic organisms have evolved alternative survival strategies to cope with environmental variability. How do these organisms manage fluctuations in temperature or resource availability, and what physiological or behavioral adaptations support their persistence in dynamic habitats?", "response": "Rely on physiological adaptations such as metabolic rate depression, enhanced tolerance to hypoxia, and efficient energy storage to endure temperature and resource fluctuations. Exhibit behavioral adaptations like burrowing, valve closure, or reduced activity during unfavorable conditions. Utilize flexible feeding strategies, such as switching food sources or modulating filtration rates, to manage periods of scarcity. These strategies collectively enable persistence in habitats with variable environmental conditions without the need for rapid locomotion."}
-{"question": "Recent studies have highlighted the role of environmental enrichment in enhancing cognitive function and reducing stress in laboratory rodents. While traditional housing often lacks complexity, introducing objects, nesting materials, and varied spatial layouts has been shown to improve learning, memory, and overall well-being. However, some findings suggest that the benefits of enrichment may differ depending on age, species, and even prior exposure to stressors. Given these nuances, how might tailored enrichment protocols impact experimental outcomes and animal welfare in behavioral neuroscience research?", "response": "Develop enrichment protocols that consider species, age, and individual stress histories to optimize animal welfare and experimental validity. Evaluate how different forms and durations of enrichment affect cognitive and behavioral test results. Monitor animals for potential unintended effects of enrichment, such as increased variability in behavioral responses, and adjust research designs accordingly."}
-{"question": "Several recent studies have emphasized the role of stakeholder engagement in advancing sustainability practices within transportation sectors. While governmental regulations provide an important framework, the active involvement of local communities, industry partners, and environmental organizations has been shown to accelerate the implementation of green initiatives. Future research could focus on identifying effective strategies for fostering collaborative partnerships and measuring the impact of stakeholder participation on sustainable outcomes in transport hubs.", "response": "Encourage active engagement of diverse stakeholders, including local communities, industry partners, and environmental organizations, to support the implementation of sustainability initiatives in transportation sectors. Investigate and document effective collaboration strategies and assess their impact on achieving sustainable outcomes at transport hubs."}
-{"question": "6. Implications for Policy and Practice This research highlights the critical role of accessible public transportation in enhancing social inclusion among elderly populations in urban environments. Barriers such as limited mobility infrastructure, infrequent service, and lack of information contribute to reduced participation in community activities and increased social isolation. The findings indicate that targeted improvements in transport accessibility—such as low-floor buses, audio-visual announcements, and subsidized fares—can significantly improve the quality of life and autonomy for older adults. Future interventions should account for the diverse needs within the elderly demographic and actively involve them in transport planning processes to ensure solutions are context-specific and effective.", "response": "Enhance public transportation accessibility to promote social inclusion among urban elderly populations. Implement low-floor buses and audio-visual announcements to address mobility and information barriers. Provide subsidized fares to improve affordability for older adults. Involve elderly community members in transport planning to ensure interventions address their specific needs. Prioritize improvements in transport infrastructure and service frequency to reduce social isolation and support participation in community life."}
-{"question": "While much research has focused on the influence of teacher expectations on student academic outcomes, relatively less attention has been given to the potential impact of peer expectations within the classroom environment. Some studies suggest that students' perceptions of their classmates' expectations for their performance can affect both motivation and achievement (Wentzel, 1998; Ryan, 2000). These peer effects may operate independently or interact with teacher expectations, contributing to the overall classroom climate. However, the mechanisms by which peer expectations influence individual student outcomes, and whether they have a lasting impact beyond the immediate academic setting, remain areas for further investigation.", "response": "Explore how students' perceptions of their peers' academic expectations influence their own motivation and achievement. Investigate the mechanisms underlying peer expectation effects and whether these effects persist over time, independently from or in conjunction with teacher expectations."}
-{"question": "Recent advancements in urban mobility have prioritized the integration of renewable energy sources with public transportation systems. For instance, solar-powered electric buses and trams have been deployed in several pilot cities, leading to measurable reductions in overall carbon footprint and operational costs. These initiatives also demonstrate improvements in air quality and public health metrics, particularly in densely populated urban centers.", "response": "Integrate renewable energy, such as solar power, into public transportation systems to reduce carbon emissions and operational costs. Deploy solar-powered electric buses and trams in urban centers to improve air quality and public health."}
-{"question": "Many aquatic ectotherms exhibit behavioral thermoregulation, such as selecting microhabitats with favorable temperatures to mitigate the effects of environmental fluctuations. For example, some fish and invertebrates actively move to deeper or shaded waters during heatwaves, while others adjust their activity patterns to cooler periods of the day. What are the potential ecological consequences if climate change reduces the availability of thermal refuges in freshwater ecosystems?", "response": "Evaluate how the loss of thermal refuges due to climate change may increase thermal stress in aquatic ectotherms, potentially leading to reduced survival, altered species distributions, and disrupted community structure. Consider the cascading effects on ecosystem processes if key species are unable to behaviorally thermoregulate and maintain physiological function."}
-{"question": "How do implicit teacher biases influence student participation in classroom discussions, and what strategies can be implemented to foster more inclusive engagement?", "response": "Recognize and address implicit biases that may affect how teachers call on or encourage students to participate. Use structured turn-taking, random selection, or participation tracking to ensure all students have equal opportunities to contribute in classroom discussions. Provide professional development to help teachers reflect on and mitigate unconscious biases, promoting an inclusive classroom environment."}
-{"question": "How do teacher expectations regarding students' language proficiency influence their perceived competence and motivation in mathematics, particularly for students from non-native language backgrounds?", "response": "Consider the impact of teacher expectations about language proficiency on students' mathematical self-concept and motivation. Develop strategies to ensure that students from non-native language backgrounds are supported and not underestimated in mathematics due to language barriers."}
-{"question": "While several initiatives have been introduced to promote inclusive education, disparities persist in resource allocation among urban and rural schools. Existing research frequently overlooks the perspectives of school administrators in addressing challenges such as teacher training, infrastructural inadequacies, and community engagement. To enhance the effectiveness of inclusive education policies, future investigations should incorporate qualitative interviews with administrators from diverse geographic and socioeconomic backgrounds. Additionally, comparative studies examining successful models of resource distribution could yield insights for policymakers seeking to reduce educational inequalities.", "response": "Include the perspectives of school administrators from varied urban and rural contexts when researching inclusive education. Conduct qualitative interviews to identify specific challenges faced in resource allocation, teacher training, and community engagement. Undertake comparative studies of effective resource distribution models to inform policy decisions aimed at reducing educational disparities."}
-{"question": "While our research provides valuable insights into the spatial distribution of soil moisture deficits across the basin, it does not account for the influence of land use changes, such as deforestation and agricultural expansion, on local hydrological cycles. Additionally, the potential feedbacks between vegetation cover and precipitation patterns remain unexplored. To achieve a more comprehensive understanding of drought risk and resilience, future studies should integrate high-resolution land cover datasets and examine the dynamic interactions between land use change, vegetation, and regional climate processes.", "response": "Incorporate high-resolution land cover data to assess the impact of land use changes on local hydrological cycles. Investigate feedback mechanisms between vegetation cover and precipitation patterns. Analyze dynamic interactions between land use change, vegetation, and regional climate to better understand drought risk and resilience."}
-{"question": "While examining the impact of classroom climate on student motivation, it is essential to acknowledge contextual factors such as school leadership styles and parental involvement. Previous studies have often overlooked these broader influences, potentially confounding the relationship between classroom-level factors and student outcomes. How can future research designs more effectively account for these external influences to clarify the specific role of classroom climate?", "response": "Incorporate measures of school leadership styles and parental involvement as covariates in analyses examining classroom climate effects. Collect data from multiple levels (student, classroom, school, family) to enable multilevel modeling that disentangles classroom-specific influences. Design studies that include schools with diverse leadership approaches and varying degrees of parental engagement to assess the consistency of classroom climate effects across contexts."}
-{"question": "Previous studies have predominantly examined the influence of school-level socioeconomic status (SES) on overall academic achievement. However, little is known about how variations in classroom SES composition might affect individual students' motivation and engagement in specific subjects such as science. Furthermore, it is unclear whether the impact of classroom SES on motivation and engagement differs between students from low- and high-SES backgrounds.", "response": "Examine how classroom-level socioeconomic status composition influences individual students' motivation and engagement in science. Investigate whether the effects of classroom SES on motivation and engagement differ for students from low-SES versus high-SES backgrounds."}
-{"question": "Recent advances in remote sensing technologies have enabled the detection of subtle changes in vegetation health, which can serve as early indicators of environmental stressors such as pollution, disease, or climate anomalies. By applying time-series analyses to satellite-derived vegetation indices, researchers can monitor ecosystem responses over time and potentially forecast large-scale ecological shifts before they become critical.", "response": "Utilize time-series analysis of satellite-derived vegetation indices to detect early signs of ecosystem stress and anticipate large-scale ecological changes in response to environmental stressors."}
-{"question": "Although automated data collection systems in ports have improved the tracking of cargo movements, challenges persist in integrating real-time information across different stakeholders, such as shipping companies, customs authorities, and logistics providers. Inconsistent data standards and lack of interoperability often result in delays, increased operational costs, and reduced transparency. To address these issues, collaborative frameworks and standardized digital platforms are increasingly being recommended by industry experts. These approaches are expected to enhance communication, streamline customs procedures, and enable predictive analytics for optimizing port operations.", "response": "Adopt standardized digital platforms to facilitate real-time information sharing among shipping companies, customs authorities, and logistics providers. Promote collaborative frameworks to improve data interoperability and reduce operational delays in port logistics. Implement predictive analytics to optimize port operations and enhance transparency. Streamline customs procedures by ensuring consistent data standards across all stakeholders."}
-{"question": "In a comparative study of urban transportation systems, it was observed that while the introduction of electric buses contributed to a significant reduction in local air pollution, several operational challenges emerged. For instance, the limited battery range constrained route planning, often resulting in the need for charging infrastructure at strategic locations. Furthermore, drivers required additional training to adapt to electric vehicle handling and maintenance protocols. Despite these hurdles, passenger satisfaction improved due to quieter rides and fewer breakdowns. These findings suggest that while electric buses present environmental benefits, their successful integration into existing transportation networks depends on careful planning, investment in support infrastructure, and workforce adaptation.", "response": "Invest in strategically located charging infrastructure to support electric bus operations. Provide specialized training for drivers and maintenance staff to ensure smooth adaptation to electric vehicles. Factor in battery range limitations during route planning to optimize service efficiency. Highlight environmental and passenger satisfaction benefits to encourage adoption of electric buses. Address operational challenges proactively to facilitate successful integration of electric buses into urban transportation systems."}
-{"question": "A review of recent educational interventions indicates that while technology integration in classrooms has been widely adopted, there is still insufficient evaluation of its long-term impacts on student engagement and learning outcomes across diverse demographic groups. Most studies focus on short-term gains or are limited to specific subject areas, making it difficult to draw broad conclusions about effectiveness. Future research should prioritize longitudinal studies that track student progress over time and include variables such as socioeconomic background, access to resources, and teacher proficiency with technology. Additionally, developing standardized assessment tools to measure the multifaceted effects of technology on learning can facilitate more meaningful comparisons between studies.", "response": "Conduct longitudinal studies to evaluate the long-term effects of technology integration on student engagement and learning outcomes. Include diverse demographic groups and consider factors such as socioeconomic background, resource access, and teacher proficiency. Develop and use standardized assessment tools to enable meaningful comparisons of technology's impact on learning across different contexts."}
-{"question": "Recent advancements in remote sensing have enabled the monitoring of forest biomass changes over large regions. By utilizing satellite-derived vegetation indices and integrating them with ground-based measurements, researchers can detect subtle shifts in biomass due to factors like deforestation, forest degradation, or regrowth after disturbance. Continuous monitoring is essential for understanding carbon dynamics and informing conservation strategies. What are some key methods for integrating remote sensing data with field observations to improve the accuracy of forest biomass estimation?", "response": "Combine satellite-derived vegetation indices with ground-based measurements through statistical calibration and data fusion techniques to enhance forest biomass estimation. Use ground plots to validate and adjust remote sensing models, and apply machine learning algorithms to integrate multi-source data, improving spatial and temporal accuracy."}
-{"question": "Recent studies have emphasized the significance of community engagement and participation in disaster preparedness and response. How can involving local stakeholders and residents in the planning and implementation of disaster risk reduction strategies improve resilience to natural hazards in both urban and rural contexts?", "response": "Engage local stakeholders and residents in disaster risk reduction planning to ensure strategies are context-specific and address actual community needs. Foster community ownership and trust by involving residents in decision-making and response activities. Utilize local knowledge and resources to identify vulnerabilities and strengths that may not be apparent to external actors. Enhance information dissemination and early warning systems through community networks, improving preparedness and response. Encourage collaboration between local governments, civil society organizations, and residents to build adaptive capacities and social cohesion, strengthening overall resilience to natural hazards in both urban and rural areas."}
-{"question": "Recent studies have emphasized the importance of integrating renewable energy sources such as solar and wind into urban power grids to enhance sustainability and resilience. However, fluctuations in supply and variable demand patterns present significant challenges for grid stability. What strategies can urban planners and utility providers implement to successfully accommodate higher shares of renewable energy while maintaining reliable power delivery?", "response": "Implement demand response programs to adjust energy consumption based on supply variations. Invest in energy storage technologies, such as batteries, to absorb excess renewable generation and release it during periods of low supply. Upgrade grid infrastructure with smart grid technologies to enable real-time monitoring and control. Encourage distributed generation through rooftop solar and community energy projects to diversify supply sources. Foster regulatory frameworks that support flexible grid operations and renewable integration."}
-{"question": "Recent investigations have highlighted the impact of classroom climate on student motivation and learning outcomes. A supportive and inclusive classroom environment, characterized by positive student–teacher interactions and mutual respect, has been linked to higher levels of engagement and academic persistence. These findings emphasize the importance of not only academic instruction but also the social and emotional facets of the learning environment in fostering student achievement and well-being.", "response": "Foster a supportive and inclusive classroom climate through positive student–teacher interactions and mutual respect to enhance student motivation, engagement, and academic success."}
-{"question": "While most research on disaster vulnerability emphasizes physical and socioeconomic aspects, cultural factors and traditional knowledge systems are often overlooked in resilience planning. In many rural communities, local practices, beliefs, and social networks play a significant role in shaping preparedness, response, and adaptation to hazards such as floods or droughts. Understanding how these cultural dimensions interact with modern risk reduction strategies can provide valuable insights for designing more effective and context-appropriate interventions. Exploring methods to systematically integrate indigenous knowledge with scientific approaches remains a critical challenge for disaster risk management in diverse rural–urban settings.", "response": "Systematically incorporate cultural factors and traditional knowledge systems into disaster resilience planning for rural communities. Assess how local practices, beliefs, and social networks influence preparedness and adaptation to hazards. Develop frameworks that integrate indigenous knowledge with scientific risk reduction strategies to create more context-appropriate interventions. Facilitate collaboration between local stakeholders and disaster management professionals to enhance the effectiveness of resilience measures in rural–urban contexts."}
-{"question": "LIMITATIONS AND FUTURE DIRECTIONS While the current analysis provided valuable insights into the relationship between access to learning resources and student performance, certain limitations should be noted. The study relied primarily on self-reported data, which may be subject to bias. Additionally, the sample was drawn from a single urban district, potentially limiting the generalizability of the findings. Future research should consider longitudinal designs and include diverse geographic areas to better understand the dynamics over time and across contexts. Further exploration of the role of digital literacy and parental involvement is also warranted.", "response": "Acknowledge the limitations of relying on self-reported data and single-district samples when assessing access to learning resources. Employ longitudinal studies and expand samples to diverse regions to increase generalizability. Investigate the impact of digital literacy and parental involvement on student performance in future research."}
-{"question": "While some aquatic invertebrates display considerable thermal plasticity, others exhibit limited acclimation despite significant environmental variation. How might the presence or absence of behavioral adaptations, such as burrowing or reduced activity, contribute to thermal resilience in these organisms, and what are the potential trade-offs associated with such strategies?", "response": "Utilize behavioral adaptations like burrowing or reduced activity to minimize exposure to thermal extremes, enhancing resilience in aquatic invertebrates with limited physiological acclimation. Recognize trade-offs such as decreased feeding opportunities, slower growth, or increased vulnerability to hypoxia, which can impact overall fitness despite improved thermal tolerance."}
-{"question": "In studies examining classroom dynamics, it has been observed that group-based instruction can foster a sense of community and collaborative learning among students. However, the effectiveness of such approaches often depends on factors such as group composition, student motivation, and the teacher’s facilitation skills (Johnson & Johnson, 2017; Gillies, 2016). While some students thrive in cooperative settings, others may experience social loafing or feel excluded if group roles are not clearly defined. This suggests that the design and management of collaborative activities play a critical role in determining educational outcomes.", "response": "Design collaborative learning activities with clear group roles and careful attention to group composition to maximize student engagement and learning outcomes. Monitor group dynamics to prevent social loafing and exclusion, and provide teacher support to facilitate effective cooperation among all students."}
-{"question": "In addition to academic performance and self-concept, teacher expectations have been linked to students’ classroom engagement and participation. Recent studies suggest that when teachers anticipate active involvement from their students, those students are more likely to contribute during lessons and collaborate with peers. What mechanisms might explain how teacher expectations influence student engagement and classroom participation?", "response": "Encourage teachers to communicate positive expectations for active participation, as students often internalize these beliefs and become more engaged. Recognize that teacher expectations can shape classroom climate, increase students’ sense of belonging, and foster motivation to contribute, thereby enhancing overall participation and collaboration."}
-{"question": "Recent longitudinal research has emphasized the importance of studying the impact of early classroom climate on students' long-term academic trajectories. Positive classroom environments, characterized by supportive teacher-student interactions and a culture of high expectations, have been linked to increased student engagement, motivation, and achievement over time. What future directions could further clarify the mechanisms by which classroom climate influences student outcomes across different educational stages and sociocultural contexts?", "response": "Explore the specific mechanisms through which positive classroom climate affects student engagement, motivation, and achievement over time. Conduct longitudinal studies across various educational stages and sociocultural contexts to examine differential impacts. Investigate how supportive teacher-student interactions and high expectations contribute to sustained academic success."}
-{"question": "Research indicates that students’ perceptions of teacher support can impact not only their academic motivation but also their emotional well-being and classroom engagement (Ryan & Patrick, 2001; Wentzel, 1997). However, the mechanisms through which perceived teacher support influences these outcomes are not fully understood. Some studies suggest that a supportive teacher-student relationship fosters a sense of belonging and autonomy, leading to increased participation and resilience (Ruzek et al., 2016), while others highlight the role of feedback and encouragement in building students’ confidence and persistence. What considerations should be made when designing interventions to enhance the effects of perceived teacher support on both academic and socio-emotional student outcomes?", "response": "Incorporate strategies that strengthen teacher-student relationships to promote a sense of belonging and autonomy among students. Provide professional development for teachers focused on giving effective feedback and encouragement to boost student confidence and persistence. Design interventions that address both academic motivation and socio-emotional well-being, recognizing the interconnectedness of these domains. Include mechanisms for regularly assessing students’ perceptions of teacher support to tailor interventions as needed. Foster a classroom environment where students feel safe, valued, and empowered to participate and take academic risks."}
-{"question": "The integration of distributed energy resources (DERs), such as rooftop solar panels and home battery storage, presents both opportunities and challenges for modern power grids. On one hand, DERs can enhance grid resilience and reduce dependency on centralized generation. On the other hand, their intermittent and decentralized nature can complicate grid management, requiring advanced coordination and real-time monitoring systems to maintain power quality and reliability.", "response": "Promote the integration of distributed energy resources to enhance grid resilience. Develop advanced coordination and real-time monitoring systems to manage the intermittent output of DERs. Address challenges related to maintaining power quality and reliability in a decentralized grid environment."}
-{"question": "The findings indicate that integrating real-time air quality monitoring data with urban planning decisions can significantly reduce public exposure to harmful pollutants. By deploying sensors throughout city districts and feeding their data into planning algorithms, city officials can dynamically adjust traffic patterns and green space allocation to mitigate peak pollution events. However, long-term efficacy requires evaluating the sustainability and scalability of these interventions across diverse urban environments.", "response": "Integrate real-time air quality monitoring data into urban planning to reduce public exposure to pollutants. Evaluate the sustainability and scalability of such interventions in various urban settings."}
-{"question": "The rapid expansion of digital infrastructure in rural areas has the potential to reshape economic development and social connectivity. However, disparities in digital literacy and access can exacerbate inequality, especially when support structures are insufficient. Evidence suggests that targeted interventions, such as localized training programs and subsidized internet services, can bridge the digital divide and promote inclusive growth. Additionally, collaboration between local governments, private sector providers, and educational institutions is crucial for ensuring the sustainability and effectiveness of these initiatives.", "response": "Promote economic development and social connectivity in rural areas by expanding digital infrastructure. Implement targeted interventions like localized digital literacy training and subsidized internet services to address digital inequality. Foster collaboration among local governments, private sector providers, and educational institutions to ensure sustainable and effective digital inclusion efforts in rural communities."}
-{"question": "Recent research on urban green spaces indicates that frequent exposure to parks and natural environments within cities can significantly reduce stress levels, promote mental well-being, and improve cardiovascular health among residents. However, disparities in access to green spaces persist, particularly in lower-income neighborhoods, potentially contributing to health inequalities. Urban planners and policymakers are encouraged to prioritize equitable distribution of quality green spaces, integrate community input into park design, and monitor usage patterns to ensure these benefits are accessible to all demographic groups.", "response": "Prioritize the equitable distribution of quality urban green spaces to reduce health disparities. Involve community members in park design decisions and regularly assess park usage to ensure mental and physical health benefits are accessible to all segments of the population."}
-{"question": "While much attention has been paid to the reduction of greenhouse gas emissions in urban centers, suburban and rural areas often face different challenges and opportunities in implementing sustainable energy solutions. Factors such as population density, infrastructure availability, and land use patterns can influence the effectiveness of renewable energy integration in these regions. What strategies can be tailored to suburban and rural settings to enhance their contribution to national sustainability targets, and how might these differ from urban-focused approaches?", "response": "Develop decentralized renewable energy systems, such as community solar or wind projects, tailored to the lower population density and greater land availability in suburban and rural areas. Encourage investment in microgrids and off-grid solutions to address gaps in infrastructure. Support policies that incentivize sustainable land use practices, including agroforestry and bioenergy production. Design energy efficiency programs specifically for rural housing and small businesses, recognizing their unique needs. These strategies should differ from urban approaches by leveraging local resources, enabling community participation, and addressing infrastructure limitations common in non-urban regions."}
-{"question": "A recent assessment of urban heat island (UHI) effects in rapidly growing metropolitan regions revealed that expansion of impervious surfaces and loss of urban green spaces are major contributors to elevated local temperatures. The study emphasizes that higher nighttime temperatures in densely built-up areas not only increase energy demand for cooling but also exacerbate health risks, particularly among vulnerable populations such as the elderly and those with pre-existing health conditions. The authors argue that urban planning strategies incorporating increased vegetation, green roofs, and reflective building materials can substantially reduce UHI intensity. They also highlight the importance of community engagement and cross-sector collaboration in implementing these climate adaptation measures. What recommendations can be drawn from these findings to guide urban planners and policymakers in mitigating urban heat island effects?", "response": "Prioritize the expansion and preservation of urban green spaces, including the creation of parks and the integration of street trees, to reduce local temperatures. Encourage the adoption of green roofs and reflective or cool roofing materials in new and existing buildings to decrease heat absorption. Promote community engagement initiatives to involve residents in the planning and maintenance of green infrastructure. Foster cross-sector collaboration among local governments, public health sectors, and urban planners to design and implement comprehensive urban heat mitigation strategies. Consider vulnerability mapping to identify and prioritize interventions in areas with high concentrations of at-risk populations. Integrate UHI mitigation measures into broader urban development and climate adaptation policies."}
-{"question": "Recent research suggests that incorporating adaptive learning technologies in educational settings can provide personalized pathways for students, catering to their individual strengths and weaknesses. As students interact with these platforms, real-time performance data is used to adjust the difficulty and sequencing of tasks. While some studies report increased engagement and improved outcomes, there remains debate about the extent to which adaptive learning supports long-term retention and critical thinking skills. The effectiveness may also depend on the subject matter and the level of teacher involvement in guiding the process.", "response": "Integrate adaptive learning technologies to personalize educational pathways based on real-time student performance data. Evaluate the impact of adaptive platforms on long-term retention and critical thinking, considering the subject area and teacher involvement."}
-{"question": "Discussion The integration of renewable energy sources, such as solar and wind, into urban power grids presents both opportunities and operational challenges. Variability in generation can complicate grid management and reliability, particularly during periods of peak demand or sudden weather shifts. Coordinated use of energy storage systems and demand-side management strategies is increasingly recognized as essential for ensuring consistent power supply and maximizing the benefits of renewables.", "response": "Deploy energy storage systems to buffer variability from renewable energy sources in urban grids. Coordinate demand-side management strategies to align consumption with renewable generation patterns. Monitor weather forecasts and grid conditions to optimize storage utilization and maintain grid reliability."}
-{"question": "How can incorporating community-based monitoring systems contribute to early detection and management of environmental hazards in rural-urban fringe areas, and what challenges might arise in implementing such systems?", "response": "Implement community-based monitoring systems to enhance early detection of environmental hazards in rural-urban fringe zones. Involve local stakeholders to improve the accuracy and relevance of data collection. Use real-time reporting and communication channels to facilitate rapid response and adaptive management. However, anticipate challenges such as limited technological infrastructure, varying levels of community engagement, and potential data quality issues. Address these by providing training, ensuring participatory decision-making, and integrating local knowledge with technical expertise to improve hazard management outcomes."}
-{"question": "Recent studies have suggested that parental involvement in children's academic activities is associated with higher motivation and improved performance in school (Fan & Chen, 2001; Hill & Tyson, 2009). However, the strength and nature of this association appear to differ depending on the type of involvement (e.g., home-based vs. school-based) and the students’ age or grade level. Some research also points to potential drawbacks, such as increased pressure or reduced autonomy when parental involvement is perceived as controlling (Pomerantz & Moorman, 2010). How might future research disentangle the specific effects of different forms of parental involvement on students’ academic motivation and identify conditions under which involvement is most beneficial?", "response": "Distinguish between home-based and school-based parental involvement when examining their impact on students’ academic motivation. Investigate how the effects of parental involvement vary across different student age groups or grade levels. Assess students' perceptions of parental involvement to determine whether it is supportive or controlling. Explore potential moderating factors, such as cultural background or student autonomy, that influence the effectiveness of parental involvement. Use longitudinal designs to track changes in motivation and performance over time in relation to varying types of parental involvement."}
-{"question": "Discussion The increasing urbanization and expansion of city infrastructure have amplified concerns regarding noise pollution and its effects on public health. Urban planners must therefore integrate noise-reducing strategies, such as the implementation of green spaces and sound barriers, into city development plans. Additionally, public awareness campaigns about the sources and risks of noise pollution can empower communities to advocate for quieter environments. Evaluating the effectiveness of these interventions requires ongoing monitoring and collaboration between municipal authorities, health agencies, and residents.", "response": "Incorporate noise-reducing strategies, such as green spaces and sound barriers, into urban development plans. Conduct public awareness campaigns about noise pollution sources and health risks. Foster collaboration among city officials, health agencies, and communities. Continuously monitor noise levels to assess intervention effectiveness and adjust policies accordingly."}
-{"question": "Urban green roofs are increasingly recognized for their potential to mitigate the urban heat island effect, enhance biodiversity, and improve stormwater management. Recent comparative studies indicate that the selection of substrate depth and plant species composition significantly influences the ecological performance and thermal regulation capacity of green roofs. For instance, deeper substrates combined with native perennial plant communities demonstrate higher water retention and greater reductions in rooftop temperatures compared to shallow, monoculture setups. However, maintenance requirements, initial installation costs, and local climate conditions also play substantial roles in determining overall effectiveness. What strategies should urban planners and building managers adopt to maximize the multifunctional benefits of green roofs in metropolitan areas?", "response": "Select appropriate substrate depths and incorporate diverse native plant species to enhance green roof performance in terms of water retention, temperature regulation, and biodiversity. Consider local climate conditions when designing green roof systems. Balance ecological benefits with factors such as maintenance needs and installation costs. Employ adaptive management practices and monitor roof performance over time to ensure ongoing effectiveness. Collaborate with sustainability experts and local communities to tailor green roof strategies to specific urban contexts."}
-{"question": "A study was conducted to evaluate the effectiveness of urban green spaces in mitigating urban heat island (UHI) effects. Data collected from five metropolitan regions showed that areas with higher tree canopy coverage exhibited noticeable temperature reductions during peak summer months. Furthermore, public parks and green corridors contributed to improved air quality and increased residential satisfaction. These findings suggest that strategic planning and expansion of urban green spaces can play a significant role in urban climate adaptation and improving the well-being of city inhabitants.", "response": "Integrate urban green spaces such as parks and green corridors into city planning to mitigate urban heat island effects. Increase tree canopy coverage in metropolitan regions to reduce local temperatures during summer months. Expand and maintain green spaces to improve air quality and enhance residential well-being in urban environments."}
-{"question": "Recent research indicates that urban expansion into forested areas has resulted in significant habitat fragmentation, leading to reduced biodiversity and altered ecological interactions. Fragmented habitats not only limit the movement and genetic exchange of species but also increase their vulnerability to invasive species, disease, and climate-related disturbances. To maintain ecosystem resilience and function as urbanization progresses, it is crucial to integrate green corridors and buffer zones into urban planning, monitor species’ responses to habitat changes, and foster collaborative conservation efforts among stakeholders. Further investigations should focus on the effectiveness of such connectivity measures and adaptive management strategies in supporting long-term biodiversity within urban-forest landscapes.", "response": "Integrate green corridors and buffer zones into urban planning to mitigate habitat fragmentation. Monitor species’ responses to habitat changes and foster collaboration for conservation among stakeholders. Evaluate the effectiveness of connectivity measures and adaptive management in maintaining biodiversity in urban-forest interfaces."}
-{"question": "A recent investigation into the academic self-concept of students revealed that while teacher feedback positively influenced students' self-perceptions in language arts, the effect was less pronounced in science subjects. This discrepancy persisted regardless of overall achievement levels. What might explain the domain-specific impact of teacher feedback on self-concept, and how should educators adjust their feedback strategies across different subjects?", "response": "Recognize that the effectiveness of teacher feedback on students' academic self-concept varies by subject area. In language arts, positive feedback may directly enhance self-perceptions, while in science, students may require more targeted or specific feedback to see similar benefits. Educators should tailor feedback strategies to the subject, ensuring feedback in science is clear, constructive, and linked to specific skills or achievements to strengthen students' self-concept in that domain."}
-{"question": "This research evaluates the effectiveness of public transportation improvements in reducing urban air pollution. By analyzing emission data before and after the introduction of new electric buses and expanded service routes in four metropolitan cities, the study examines changes in particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations. The findings indicate a measurable decline in air pollutant levels, particularly in densely populated districts, highlighting the role of sustainable transit solutions in improving urban air quality.", "response": "Evaluate the effectiveness of public transportation improvements, such as introducing electric buses and expanding service routes, in reducing urban air pollution. Analyze emission data before and after interventions to assess changes in key air pollutants and the impact on urban air quality."}
-{"question": "Urbanization has led to significant habitat fragmentation, altering species distributions and ecosystem functions. Recent analyses suggest that green corridors and urban planning can mitigate some negative effects, but challenges remain in maintaining biodiversity and ecosystem services in rapidly expanding cities. What integrated strategies can urban planners and ecologists employ to enhance habitat connectivity and promote resilient urban ecosystems?", "response": "Design and implement interconnected green corridors within urban landscapes to facilitate wildlife movement and gene flow. Integrate biodiversity-friendly infrastructure, such as green roofs and vertical gardens, into building designs. Collaborate across disciplines to incorporate ecological principles in city planning and land-use policies. Promote community involvement in urban greening projects to increase local stewardship. Utilize ecological monitoring and adaptive management to assess the effectiveness of connectivity initiatives and adjust strategies as cities grow."}
-{"question": "Our findings demonstrate that green infrastructure, such as urban parks and green roofs, can significantly reduce urban heat island effects and improve air quality in densely populated cities. The implementation of these nature-based solutions not only lowers ambient temperatures but also provides co-benefits like increased biodiversity and enhanced well-being for residents.", "response": "Integrate green infrastructure, including urban parks and green roofs, to reduce urban heat island effects and improve air quality in densely populated cities. Employ nature-based solutions to lower ambient temperatures, boost biodiversity, and enhance resident well-being."}
-{"question": "Recent advancements in remote sensing technologies have enabled more accurate monitoring of urban heat islands. Satellite-derived land surface temperature data, when combined with high-resolution land cover maps, reveal that urban expansion and decreased vegetation cover contribute significantly to increased localized temperatures. Additionally, nighttime temperature retention is more pronounced in densely built areas. These findings highlight the importance of incorporating green infrastructure in urban planning to mitigate excessive heat accumulation.", "response": "Utilize satellite-based land surface temperature data and high-resolution land cover maps to monitor urban heat islands. Promote green infrastructure and increased vegetation in urban planning to reduce localized temperature increases and nighttime heat retention."}
-{"question": "Limitations and Future Research Although the study provides valuable insights into the impacts of remote work on employee productivity and well-being, several limitations should be acknowledged. The sample was limited to employees from the technology sector, which may restrict the generalizability of the results to other industries. Additionally, self-reported measures of productivity and well-being may be subject to bias. Variation in remote work policies and resources across organizations was not systematically controlled, potentially influencing the findings. Future research should consider using objective productivity metrics, a more diverse sample across sectors, and longitudinal designs to better capture changes over time. Investigating the role of organizational support and technology access in mediating remote work outcomes would also be beneficial.", "response": "Recognize that the study's findings on remote work may not generalize beyond the technology sector. Acknowledge the potential bias in self-reported productivity and well-being data. Address variation in organizational remote work policies as a possible confounding factor. Use objective productivity measures and include participants from multiple industries in future studies. Employ longitudinal research designs to observe changes in remote work outcomes over time. Explore how organizational support and access to technology mediate the effects of remote work on employees."}
-{"question": "How might integrating citizen science data with remote sensing improve the detection and monitoring of invasive species in freshwater ecosystems?", "response": "Encourage collaboration between remote sensing experts and citizen scientists to collect and validate spatial data on invasive species. Utilize citizen observations to ground-truth satellite or aerial imagery, enhancing the accuracy and spatial resolution of invasive species monitoring. Leverage this integrated approach to provide timely information for ecosystem management and policy decisions."}
-{"question": "Several studies have investigated the effects of peer influence on students’ academic motivation, often finding that the attitudes and behaviors of classmates can impact individual engagement and achievement (Ryan, 2000; Wentzel & Caldwell, 1997; Kindermann, 2007). However, the strength and direction of peer effects can differ depending on the classroom context, age group, and the specific motivational constructs measured. For example, some research suggests that peer influence is more pronounced for behavioral engagement in middle school than in elementary school, while others indicate that cognitive and emotional engagement are more susceptible to peer norms in adolescence. Additionally, most studies rely on self-reported measures and cross-sectional designs, making it difficult to disentangle causal relationships. What are some ways future research could address these complexities to better understand peer influences on academic motivation?", "response": "Incorporate longitudinal designs to track changes in academic motivation related to peer influence over time. Use multi-informant and observational data to reduce reliance on self-reports. Examine peer effects across different classroom contexts and age groups to identify when and how peer influence is most significant. Distinguish between different types of engagement (behavioral, cognitive, emotional) when measuring peer influence. Employ experimental or quasi-experimental methods to clarify causal relationships between peer norms and individual motivation."}
-{"question": "Future directions Future research could benefit from integrating socioeconomic data with environmental monitoring to assess how drought-induced changes in water availability impact local communities. Incorporating household water usage patterns and economic indicators alongside Earth observation data could provide a holistic view of both environmental and societal vulnerabilities.", "response": "Integrate socioeconomic data, such as household water usage and economic indicators, with Earth observation data to comprehensively assess the impacts of drought on local communities."}
-{"question": "How might implicit biases in teacher feedback during classroom discussions contribute to differences in student participation and confidence across diverse demographic groups?", "response": "Provide teachers with training to recognize and minimize implicit biases in their feedback. Encourage equitable participation by actively soliciting input from all demographic groups. Foster an inclusive classroom environment where feedback is distributed fairly to support the confidence and engagement of every student."}
-{"question": "Recent research suggests that phenological shifts in plant flowering times due to climate change can disrupt mutualistic interactions with pollinators. How might mismatches in the timing of plant flowering and pollinator activity impact both plant reproductive success and pollinator populations, and what adaptive responses could mitigate these effects?", "response": "Mismatches between plant flowering and pollinator activity can result in reduced pollination success, leading to lower seed set and diminished plant reproductive output. Pollinators may also experience decreased food availability, impacting their population dynamics and reproductive success. Adaptive responses could include phenological plasticity in plants and pollinators, changes in foraging behavior, or shifts in community composition favoring species with more synchronized phenologies."}
-{"question": "Recent research has highlighted the significance of behavioral thermoregulation as an adaptive strategy in various ectothermic species. Unlike physiological acclimation, behavioral responses such as changing habitat, altering daily activity patterns, or seeking microclimates can allow organisms to mitigate the effects of temperature extremes without incurring the metabolic costs associated with physiological adjustments. How might integrating behavioral thermoregulation strategies into vulnerability assessments improve predictions of species' resilience to climate change-induced temperature variability?", "response": "Incorporate behavioral thermoregulation strategies, such as microhabitat selection and activity timing adjustments, into vulnerability assessments to capture non-physiological means of coping with temperature extremes. This integration enhances predictions of species' resilience by accounting for adaptive behaviors that can buffer environmental variability, leading to more accurate assessments of survival potential under climate change scenarios."}
-{"question": "The spatial distribution of groundwater recharge in semi-arid river basins is influenced by both land cover changes and variability in precipitation patterns. Recent studies highlight that urban expansion and deforestation can alter the natural infiltration process, potentially reducing aquifer recharge in affected areas. Furthermore, shifts in seasonal rainfall may exacerbate these effects, leading to greater temporal variability in groundwater resources. It is essential to quantify how combined land use and climate drivers modify groundwater recharge rates to support sustainable water management in these sensitive environments.", "response": "Quantify the impacts of land cover changes and precipitation variability on groundwater recharge rates in semi-arid river basins to inform sustainable water management strategies."}
-{"question": "In many freshwater bivalves, metabolic depression is observed during periods of hypoxia. Some species exhibit reduced heart rate, minimised movement, and increased anaerobic metabolism to survive extended low-oxygen conditions. These strategies are thought to contribute to their survival in habitats where oxygen levels fluctuate seasonally or diurnally. However, the extent to which metabolic depression is reversible upon reoxygenation, and how quickly normal physiological function is restored, varies between species and is not fully understood. What physiological mechanisms might underlie the rapid recovery from metabolic depression in freshwater bivalves, and how could experimental protocols be designed to compare recovery dynamics across different species?", "response": "Investigate physiological mechanisms such as the upregulation of aerobic enzymes, restoration of ATP levels, and normalization of heart and filtration rates during reoxygenation in freshwater bivalves. Design experiments exposing different species to controlled hypoxic conditions followed by reoxygenation, monitoring recovery of metabolic, cardiac, and behavioural parameters to compare recovery rates and efficiency."}
-{"question": "The implementation of urban green spaces has become a vital strategy for mitigating the effects of urban heat islands and enhancing city residents' well-being. However, the distribution of these green spaces often reflects existing socioeconomic inequalities, with underprivileged neighborhoods having reduced access. Recent research emphasizes the need to integrate equity considerations when planning urban green infrastructure. Future initiatives should focus on participatory approaches that involve local communities in the design and management of green spaces, ensuring that benefits such as improved air quality, recreational opportunities, and temperature regulation are accessible to all city residents. Additionally, evaluating the long-term social and environmental impacts of these interventions can inform more effective urban planning policies.", "response": "Incorporate equity considerations into the planning and distribution of urban green spaces to address socioeconomic disparities. Employ participatory approaches to involve local communities in green space design and management. Assess the long-term social and environmental impacts of green infrastructure interventions to guide urban planning decisions."}
-{"question": "A recent study investigated the effects of schoolyard greening on children's physical activity levels and attention spans during recess. The results indicated that introducing natural features such as trees, grass patches, and gardens led to increased moderate-to-vigorous physical activity and improved on-task behavior when students returned to class. These positive effects were found to be more pronounced for younger children and for those who previously exhibited lower levels of attention. The findings suggest that modifications to the physical environment of schools can have measurable benefits on both health and cognitive outcomes for children.", "response": "Incorporate natural features like trees and gardens into schoolyards to promote higher physical activity during recess. Enhance school environments to improve students' attention and on-task behavior after breaks. Prioritize greening initiatives particularly for younger children and those needing support with attention. Recognize the value of modifying school spaces for both health and cognitive development benefits."}
-{"question": "Renewable energy integration into the existing power grid has introduced greater variability and uncertainty in electricity supply. Traditional grid management methods often struggle to maintain stability and reliability when faced with intermittent sources such as wind and solar. Innovative solutions, such as advanced demand response programs and grid-scale energy storage, are increasingly necessary to balance supply and demand, prevent outages, and support the transition to cleaner energy systems. Policymakers and operators need to adapt their strategies to address the unique challenges posed by high renewable penetration.", "response": "Implement advanced demand response programs and invest in grid-scale energy storage to maintain grid stability with increased renewable energy integration. Adapt traditional grid management strategies to accommodate the variability and uncertainty of wind and solar power. Develop policies and operational frameworks that support reliable electricity supply during the transition to cleaner energy systems."}
-{"question": "The findings of the intervention indicate that regular participation in community-based physical activity programs significantly improves cardiovascular health markers among older adults. Participants demonstrated lower blood pressure, increased aerobic capacity, and improved cholesterol profiles after twelve weeks. Additionally, social engagement during group activities was associated with higher adherence rates and reported well-being compared to those who exercised alone. These results suggest that integrating structured group exercise with social components may offer both physiological and psychological benefits for aging populations.", "response": "Offer community-based group exercise programs to improve cardiovascular health in older adults. Include social engagement components in physical activity interventions to increase adherence and enhance well-being. Use structured group activities to support both physiological and psychological health among aging populations."}
-{"question": "The current investigation adopts a mixed-methods approach to examine the impact of urban green spaces on residents' mental well-being in a mid-sized city. Quantitative analysis utilized survey data collected before and after the development of new parks, while qualitative interviews provided deeper insights into residents' experiences. While statistical results indicate a modest improvement in well-being scores post-intervention, interviews reveal that factors such as accessibility and perceived safety significantly influence the extent of benefits realized. The study's reliance on self-reported measures and limited follow-up period are noted as potential limitations.", "response": "Utilize both quantitative and qualitative methods to assess the impact of urban green spaces on mental well-being. Analyze not just aggregate well-being scores but also contextual factors such as accessibility and safety that shape residents' experiences. Address limitations related to self-reported data and short follow-up periods in future research for a more comprehensive understanding."}
-{"question": "In addition to studying acclimation to seasonal temperature changes, how might repeated exposure to rapid, unpredictable temperature fluctuations (thermal variability on a daily timescale) affect the physiological resilience and behavioral performance of A. anatina? What mechanisms could be involved in enabling the mussels to cope with such environmental unpredictability?", "response": "Design experiments exposing A. anatina to rapid, unpredictable temperature fluctuations to assess changes in physiological resilience and behavioral performance. Monitor behavioral responses such as valve closure frequency, burrowing rate, and locomotory activity under variable thermal regimes. Measure physiological indicators including heat shock protein expression, oxidative stress markers, and metabolic rate variability to identify coping mechanisms. Evaluate whether repeated thermal variability leads to increased tolerance thresholds or induces plasticity in stress-response pathways."}
-{"question": "Research suggests that students' perceptions of teacher support can influence their academic motivation, independent of teacher performance expectations. How might incorporating measures of perceived teacher support alongside expectations provide a more comprehensive understanding of student motivational outcomes?", "response": "Include both perceived teacher support and teacher expectations in studies of academic motivation to capture distinct influences on student outcomes. Assess how each factor independently and interactively relates to changes in motivation over time for a more nuanced understanding."}
-{"question": "Despite notable progress in developing digital learning tools, disparities in students' access to technology and digital literacy skills remain a challenge. Our research did not explore how differences in home internet connectivity and familiarity with digital platforms influence students’ engagement and academic performance across various subjects. Exploring these aspects could provide valuable insights into reducing educational inequalities in digitally mediated classrooms.", "response": "Examine how variations in students’ home internet access and digital literacy skills affect their engagement and academic outcomes in digitally mediated learning environments. Investigate strategies to reduce educational inequalities arising from technological disparities."}
-{"question": "Research on drought resilience in peri-urban areas suggests that access to urban infrastructure, such as water supply networks and emergency services, can influence the adaptive capacity of nearby rural populations. However, the effectiveness of these linkages may depend on governance structures and resource allocation priorities between urban and rural jurisdictions. What strategies can be implemented to ensure that peri-urban and rural communities equitably benefit from urban infrastructure during prolonged drought events?", "response": "Establish inter-jurisdictional governance bodies to coordinate resource allocation between urban and rural areas during droughts. Develop integrated water management plans that extend urban water infrastructure and emergency services to peri-urban and rural communities. Implement policies that prioritize equitable access to drought relief resources based on vulnerability assessments rather than administrative boundaries. Encourage participatory planning processes involving both urban and rural stakeholders to identify shared needs and co-develop response strategies. Invest in decentralized infrastructure, such as community water storage and distribution points, that can supplement urban supply systems during drought emergencies."}
-{"question": "The integration of digital tools in classroom instruction has transformed the ways in which students interact with learning materials and engage with their peers. Recent findings suggest that when teachers receive targeted professional development on technology integration, there is a notable increase in student participation and collaborative problem-solving. However, variation exists depending on subject area and prior experience with digital platforms. Continued investigation is needed to determine which forms of technology training yield the most sustained improvements in teaching practices and student outcomes.", "response": "Provide targeted professional development for teachers on technology integration to boost student engagement and collaboration. Evaluate the effectiveness of different technology training approaches across various subjects and teacher backgrounds to identify best practices for improving teaching and learning outcomes."}
-{"question": "Recent advancements in urban mobility have highlighted the potential of shared electric micro-mobility solutions, such as e-scooters and e-bikes, to reduce traffic congestion and lower urban carbon emissions. However, challenges remain regarding the integration of these services into existing transportation networks, including concerns about safety regulations, equitable access, and the environmental impact of battery disposal. Future efforts should focus on developing comprehensive policies that address these challenges while maximizing the environmental and social benefits of shared electric micro-mobility.", "response": "Promote the integration of shared electric micro-mobility solutions like e-scooters and e-bikes to alleviate urban congestion and reduce carbon emissions. Develop and implement safety regulations to ensure responsible use of micro-mobility services. Establish policies that ensure equitable access to shared mobility options across different communities. Create sustainable battery recycling and disposal programs to mitigate the environmental impact of electric micro-mobility devices."}
-{"question": "Recent research highlights the importance of integrating climate adaptation strategies within transportation infrastructure to mitigate the growing risks posed by extreme weather events such as heatwaves, storms, and flooding. Despite advancements in resilient construction techniques and early warning systems, many regions continue to experience disruptions in supply chains and public transportation during adverse conditions. What measures can be implemented to enhance the climate resilience of transportation networks, and how can cross-sector collaboration be leveraged to ensure continuity of service under extreme weather scenarios?", "response": "Adopt climate-resilient construction standards for new and existing transportation infrastructure to withstand extreme weather events. Invest in predictive maintenance and real-time monitoring technologies to identify vulnerabilities before disruptions occur. Integrate green infrastructure solutions, such as permeable pavements and urban vegetation, to manage stormwater and reduce heat island effects. Develop flexible contingency plans for rerouting and rapid service restoration during disruptions. Foster cross-sector collaboration by coordinating with emergency management agencies, utility providers, and logistics companies to ensure rapid response and resource sharing. Encourage data-sharing agreements and joint scenario planning to align adaptation strategies across sectors. Engage local communities in resilience planning to address region-specific risks and ensure effective communication during emergencies."}
-{"question": "Recent studies suggest that the filtration activity of freshwater mussels, such as A. anatina, can improve water quality by reducing suspended particulate matter and certain pollutants. However, their effectiveness is influenced by water temperature, with filtration rates declining significantly in colder conditions. What implications does this seasonal variation in filtration have for ecosystem management strategies aimed at improving water quality in temperate regions?", "response": "Recognize that freshwater mussels like A. anatina contribute to water quality improvement through filtration activity, but their effectiveness declines in winter due to lower filtration rates. Incorporate seasonal variation in mussel filtration into ecosystem management plans by optimizing conservation and restoration efforts during warmer periods when filtration rates are highest. Consider supplementary water quality measures during colder months when mussel activity is reduced."}
-{"question": "Recent studies have highlighted the importance of integrating real-time data analytics and smart technologies into urban water distribution systems. While traditional infrastructure has relied on scheduled maintenance and historical consumption patterns, there is growing evidence that deploying IoT-based sensors and predictive algorithms can help detect leaks, optimize water usage, and reduce operational costs. However, challenges such as data privacy concerns, high implementation costs, and the need for skilled technical staff have slowed widespread adoption. Furthermore, the effectiveness of these smart systems depends on stakeholder engagement and cross-sector collaboration among municipal authorities, technology providers, and end-users. As urban populations continue to grow and water scarcity becomes more pressing, cities must balance the potential benefits of digital transformation with these practical constraints. What steps should urban planners and policymakers take to successfully implement smart water management solutions in rapidly growing cities?", "response": "Conduct a thorough assessment of existing water infrastructure to identify priority areas for smart technology upgrades. Engage stakeholders—including municipal authorities, technology providers, and community members—early in the planning process to build consensus and address concerns such as data privacy. Develop pilot projects to demonstrate the effectiveness of IoT-based sensors and predictive analytics before scaling up city-wide. Allocate funding and resources to train staff in the operation and maintenance of smart water systems. Establish clear data governance policies to protect sensitive information and foster public trust. Integrate smart water management strategies with broader urban planning and sustainability goals. Foster partnerships between public and private sectors to share expertise and reduce implementation costs. Regularly evaluate system performance and adapt policies as technology and community needs evolve."}
-{"question": "In studies examining the effects of environmental pollutants on freshwater mussels, researchers often observe variations in physiological stress responses, such as altered enzyme activity or changes in shell growth rates, across different populations. These variations may be influenced by local adaptation, historical exposure levels, and genetic diversity. To better understand the resilience of mussel populations, future research should integrate multi-site comparisons and assess both short-term physiological markers and long-term population trends. What are the key considerations when designing such a study?", "response": "When designing a study on the effects of environmental pollutants on freshwater mussels across multiple sites, it is important to account for local adaptation, historical exposure to contaminants, and genetic diversity among populations. Select sites representing a range of pollution levels and ecological conditions. Measure both immediate physiological responses (like enzyme activity and shell growth) and track long-term trends in population health. Incorporate genetic analyses to distinguish between adaptation and plasticity. Ensure consistent sampling protocols across sites and time points to allow for meaningful comparisons of resilience among populations."}
-{"question": "Recent advances in smart grid technologies have enabled more sophisticated demand response programs, where both residential and commercial users can adjust their electricity usage in real-time based on price signals or grid conditions. Such systems promise increased grid stability and efficient integration of renewable energy sources, but require active participation and reliable communication infrastructures. What are the key considerations for successfully implementing widespread demand response initiatives in modern power systems?", "response": "Ensure the availability of robust and secure communication infrastructure to support real-time data exchange. Encourage and incentivize active participation from both residential and commercial users in demand response programs. Develop dynamic pricing models that reflect grid conditions and motivate flexible electricity consumption. Integrate demand response strategies with renewable energy management to enhance grid stability. Address privacy and data security concerns associated with increased monitoring and control of user energy consumption."}
-{"question": "A recent study explored the impact of classroom seating arrangements on student engagement and collaboration. The researchers utilized both observational checklists and student self-reports to assess engagement levels in traditional row seating, circular seating, and clustered group tables. Results indicated that students in clustered group tables demonstrated higher levels of collaborative behavior and participation in discussions. However, some students reported increased distractions in the group setting. While the study provides insight into the relationship between physical classroom layout and student engagement, it is limited by its focus on a single grade level and subject area. Future research should examine diverse classroom environments and subject matters to determine if these findings are generalizable.", "response": "When designing classroom environments, consider how seating arrangements such as clustered group tables may foster greater student engagement and collaboration. Be mindful that such arrangements could also lead to increased distractions for some students. Evaluate the effectiveness of different seating layouts across various grade levels and subject areas to ensure the best outcomes for student participation and focus."}
-{"question": "Recent research has highlighted the mediating role of classroom climate in the relationship between teacher beliefs and student motivation. For example, when teachers foster a supportive and inclusive classroom environment, students tend to report higher levels of engagement and perseverance in academic tasks (Wentzel, 2012; Eccles & Roeser, 2011). However, the extent to which specific teacher behaviors, such as providing constructive feedback or encouraging self-regulation, contribute to this positive climate remains underexplored. Further investigation into these teacher practices could clarify how classroom climate mediates student motivation and achievement.", "response": "Examine how specific teacher behaviors, such as providing constructive feedback and promoting self-regulation, shape classroom climate. Investigate the mediating role of classroom climate on the relationship between teacher beliefs and student motivation and achievement."}
-{"question": "The integration of distributed energy resources, such as solar panels and battery storage, presents both opportunities and challenges for modern power grids. While these resources can enhance grid flexibility and resilience, their intermittent nature requires more sophisticated grid management strategies. Coordinating the output of distributed generation with demand-side measures and advanced forecasting tools is essential to maintain grid stability and optimize energy use. Furthermore, regulatory frameworks need to evolve to support the participation of small-scale producers in electricity markets.", "response": "Coordinate distributed energy resources with demand-side measures and advanced forecasting to maintain grid stability. Adapt regulatory frameworks to support participation of small-scale producers in electricity markets."}
-{"question": "Although student achievement is often attributed to individual ability and effort, classroom climate and teacher-student relationships also play significant roles. A positive classroom climate, characterized by support and mutual respect, has been linked to higher student motivation, engagement, and academic success across several studies. Conversely, negative climates may suppress participation and hinder learning outcomes, particularly for students from marginalized backgrounds.", "response": "Foster a positive classroom climate with supportive teacher-student relationships to enhance student motivation, engagement, and academic achievement. Pay special attention to the needs of marginalized students to mitigate negative effects of an unsupportive classroom environment."}
-{"question": "While numerous studies have focused on reducing greenhouse gas emissions in the maritime industry, there is limited research on the effectiveness of digitalization and smart technologies in optimizing port efficiency and decreasing environmental impacts. Emerging technologies such as automated cargo handling, real-time traffic management, and predictive maintenance are increasingly being adopted to streamline operations and lower resource consumption. However, the integration of these innovations often faces barriers related to high upfront investment costs, workforce adaptation, and interoperability between legacy and new systems. Future research could examine not only the direct environmental benefits of digitalization in ports but also the broader social and economic effects, including impacts on employment and skill requirements. Policymakers and industry leaders should consider supporting pilot programs, providing incentives for technology adoption, and offering training initiatives to ensure a smooth transition toward smarter and more sustainable port operations.", "response": "Investigate the environmental, social, and economic impacts of implementing digitalization and smart technologies in ports. Assess the effectiveness of automated cargo handling, real-time traffic management, and predictive maintenance in reducing resource consumption and emissions. Address barriers such as high investment costs, workforce adaptation, and system interoperability by supporting pilot programs, creating incentives for technology adoption, and developing training initiatives for employees. Encourage further research into both direct and indirect benefits of digital transformation in port operations."}
-{"question": "Recent studies on urban public transportation networks suggest that while increased service frequency can alleviate overcrowding during peak hours, it may also lead to higher operational costs and increased energy consumption. Moreover, if not carefully managed, additional services can contribute to traffic congestion and air pollution, especially when bus fleets are not fully electrified. As cities strive to balance efficiency, sustainability, and financial viability, what factors should urban planners prioritize when expanding public transit services to meet growing demand?", "response": "Prioritize upgrading to energy-efficient or electric vehicle fleets when increasing service frequency to limit environmental impact. Balance service expansion with operational cost assessments to ensure financial sustainability. Consider real-time ridership data and passenger flow analysis to optimize schedules and routes, avoiding unnecessary congestion. Integrate multimodal transportation options and improve last-mile connectivity to enhance system efficiency. Implement policies that encourage public transit use over private vehicles to further reduce traffic congestion and pollution."}
-{"question": "In a longitudinal study examining the effects of classroom seating arrangements on collaborative learning outcomes, researchers observed that students assigned to clusters of four demonstrated higher engagement and peer interaction compared to those seated in traditional rows. However, the study also noted that classroom size, subject matter, and teacher facilitation style moderated the effectiveness of clustered seating. These findings suggest that while group seating can enhance collaboration, its impact may depend on contextual factors such as space constraints and instructional methods, warranting further exploration across diverse classroom environments.", "response": "Implement clustered seating arrangements to promote peer interaction and engagement in collaborative learning tasks. Consider classroom size, subject matter, and teacher facilitation style when determining the optimal seating layout. Further investigate the effectiveness of group seating across different educational contexts and teaching approaches."}
-{"question": "A limitation of this study is the reliance on self-reported measures of students' motivation and engagement, which may be subject to social desirability bias and inaccuracies in self-assessment. While self-reports can provide valuable insights into students' perspectives, they may not always align with observed behaviors or actual academic outcomes. What approaches could future research employ to strengthen the validity of findings related to student motivation and engagement?", "response": "Incorporate multiple data sources, such as teacher ratings and direct classroom observations, to complement self-reported measures of motivation and engagement. Utilize validated behavioral tasks or performance assessments to capture actual engagement. Employ longitudinal designs to examine how self-reported and observed indicators of motivation change over time. Consider using anonymous surveys to reduce social desirability bias in self-report data."}
-{"question": "The integration of remote sensing techniques with machine learning algorithms has enabled more precise mapping of wildfire-prone areas. By analyzing satellite-derived vegetation indices, topographical data, and historical fire occurrence, models can accurately predict regions at elevated risk. Such predictive mapping is invaluable for prioritizing fire prevention resources and informing land management strategies, especially as climate change intensifies wildfire hazards.", "response": "Combine remote sensing data with machine learning algorithms to predict wildfire-prone areas. Use predictive maps to prioritize fire prevention efforts and inform land management under changing climate conditions."}
-{"question": "In light of recent findings showing that urbanization can significantly alter local microclimates, how might these changes in temperature and humidity affect the physiological acclimation and behavior of native amphibian species compared to those in rural habitats?", "response": "Investigate the effects of altered urban microclimates on amphibian physiology and behavior by comparing temperature and humidity-driven acclimation responses in urban versus rural populations. Assess differences in thermal tolerance, hydration strategies, and activity patterns to determine how urbanization influences species resilience and adaptation."}
-{"question": "A limitation of the study is that it did not account for variations in teacher experience levels when examining the impact of expectations on student achievement and self-concept. Future research could explore whether more experienced teachers influence student outcomes differently, potentially due to better classroom management or more nuanced expectation-setting. Understanding how teacher experience moderates the effect of expectations may provide deeper insights into optimizing educational interventions.", "response": "Include teacher experience levels as a variable in future studies on the impact of teacher expectations. Investigate whether experienced teachers have a stronger or different influence on student achievement and self-concept. Use insights from such research to tailor professional development focused on effective expectation-setting strategies across varying levels of teacher experience."}
-{"question": "In light of the growing urbanization and climate variability, our analysis emphasizes the necessity of integrating green infrastructure into urban planning to enhance cities' resilience against heatwaves and flash floods. The study demonstrates how green roofs, permeable pavements, and expanded urban forests can mitigate urban heat islands and improve stormwater management, ultimately supporting public health and reducing disaster risk. It also suggests that cross-sectoral collaboration between planners, engineers, and public health officials is crucial for successful implementation.", "response": "Integrate green infrastructure, such as green roofs, permeable pavements, and urban forests, into urban planning to increase resilience to heatwaves and flash floods. Promote cross-sectoral collaboration among planners, engineers, and public health officials to effectively mitigate urban heat islands, manage stormwater, and reduce disaster risks in cities experiencing climate variability and rapid urbanization."}
-{"question": "Recent analyses of urban planning initiatives emphasize the significance of integrating green infrastructure in densely populated metropolitan areas. Unlike traditional grey infrastructure, green infrastructure—such as green roofs, permeable pavements, urban forests, and constructed wetlands—not only mitigates stormwater runoff and urban heat island effects, but also provides enhanced biodiversity and recreational space. These multi-functional benefits are increasingly important as cities face rising population densities and climate variability. However, challenges remain regarding the initial investment costs, maintenance requirements, and the need to align green infrastructure with existing city layouts and community needs. Long-term monitoring and adaptive management are critical to ensure that these interventions deliver sustained environmental, social, and economic value.", "response": "Incorporate green infrastructure elements like green roofs, permeable pavements, and urban forests into urban planning to address stormwater management and reduce urban heat islands. Balance initial investment and maintenance costs with long-term environmental and social benefits. Align green infrastructure strategies with existing city layouts and the needs of local communities. Implement long-term monitoring and adaptive management to maximize sustained value from green infrastructure interventions."}
-{"question": "In studies examining the effectiveness of eco-friendly initiatives within the maritime industry, the integration of technological advancements such as automated emission monitoring systems and shore power connections has gained attention. While these innovations can significantly reduce the carbon footprint of ports, their adoption often depends on factors including economic feasibility, regulatory frameworks, and stakeholder engagement. Future research could explore how collaborative efforts between port authorities, shipping companies, and local governments influence the successful implementation of such technologies. Additionally, comparative analyses across regions with varying policy incentives could provide deeper insights into best practices for sustainable port operations.", "response": "Prioritize the integration of automated emission monitoring systems and shore power connections to enhance eco-friendly operations in ports. Assess the role of economic feasibility, regulatory support, and active stakeholder collaboration in the successful adoption of these technologies. Encourage future studies to analyze the impact of partnerships between port authorities, shipping companies, and governments, as well as to compare regions with different policy frameworks to identify effective strategies for promoting sustainable practices in the maritime sector."}
-{"question": "Recent advances in remote sensing technologies have enabled the detection of subtle changes in vegetation health and water stress over time. These developments provide an opportunity to monitor ecosystem responses to prolonged periods of heat or drought with high spatial and temporal resolution. Such data, when combined with ground-based ecological and physiological measurements, can reveal early warning signals of ecosystem decline and help guide targeted conservation actions.", "response": "Integrate remote sensing technologies with ground-based measurements to monitor ecosystem responses to prolonged heat or drought, enabling the detection of early warning signs of ecosystem decline and informing targeted conservation efforts."}
-{"question": "While numerous studies have addressed the economic and operational efficiency of port automation, there is limited research on the social implications for local communities and port labor. Automation technologies can increase cargo throughput and reduce human error, but they may also lead to workforce displacement and require new skill sets. Furthermore, the introduction of automated systems often changes the relationship between port authorities and local stakeholders, potentially impacting community trust and support. Understanding these broader effects is critical for sustainable implementation of automation in ports.", "response": "Evaluate the potential socioeconomic impacts of port automation on local communities and labor forces. Develop retraining programs to support workforce transition to new skill requirements. Engage local stakeholders early in the automation process to maintain trust and foster community support for port modernization."}
-{"question": "In addition to monitoring the spread of antibiotic resistance, it is crucial to investigate the role of environmental reservoirs such as wastewater and agricultural runoff. Recent findings suggest these environments may facilitate horizontal gene transfer between diverse microbial communities, further complicating efforts to control resistance. Moreover, little is known about the persistence and mobility of resistance genes in these settings over time. Addressing these gaps could provide valuable insights for developing more effective mitigation strategies.", "response": "Investigate environmental reservoirs like wastewater and agricultural runoff as sources of antibiotic resistance. Study horizontal gene transfer between microbial communities in these environments. Examine the persistence and mobility of resistance genes over time to inform mitigation strategies."}
-{"question": "Despite significant technological advances in remote sensing for monitoring water bodies, limitations remain in detecting short-term fluctuations and small-scale hydrological changes. These challenges can hinder the early identification of emerging water scarcity issues, especially in regions with limited ground-based observations. Integrating community-based monitoring programs with satellite data may enhance the resolution and reliability of water resource assessments.", "response": "Combine community-based water monitoring efforts with remote sensing technologies to improve detection of short-term and localized hydrological changes. Leverage local observations to validate and refine satellite-based assessments, strengthening early warning systems for water scarcity."}
-{"question": "Recent advances in remote sensing technologies have facilitated the continuous monitoring of surface water temperatures in freshwater ecosystems. These data streams are critical for detecting early signs of thermal stress in aquatic invertebrate populations, particularly in the context of climate change-induced heatwaves. How might integrating high-resolution temperature monitoring with physiological assessments improve the prediction of vulnerability in species such as A. anatina?", "response": "Integrate high-resolution surface water temperature monitoring with physiological assessments to enhance predictions of vulnerability in A. anatina and similar species, enabling earlier detection of thermal stress and more effective management responses to climate change."}
-{"question": "Recent policy initiatives have encouraged the installation of solar photovoltaic (PV) panels on residential buildings to reduce carbon emissions and promote renewable energy adoption. However, widespread adoption of rooftop PV systems can pose challenges for existing urban power grids, such as voltage fluctuations and reverse power flows, especially in densely populated neighborhoods. What measures could be taken to ensure grid stability and reliability as residential PV adoption increases?", "response": "Upgrade urban power grid infrastructure to accommodate increased rooftop PV adoption and prevent voltage instability. Implement smart grid technologies and advanced metering to monitor and manage reverse power flows. Encourage the use of battery storage systems in conjunction with PV installations to smooth out energy supply and demand. Establish dynamic pricing or incentive programs that encourage PV owners to use or store generated electricity during peak production times. Coordinate with utility companies to develop guidelines for the integration of distributed energy resources in densely populated areas."}
-{"question": "Recent research indicates that urbanization can significantly alter local microclimates and create favorable conditions for the proliferation of disease vectors such as Aedes mosquitoes. Urban features, including artificial water containers and poorly managed waste, provide abundant breeding sites. Additionally, the urban heat island effect may accelerate mosquito development and virus transmission cycles. Socioeconomic disparities within urban areas often result in uneven distribution of vector control resources and healthcare access, amplifying the risk for marginalized populations. What interventions should urban planners and public health officials prioritize to mitigate vector-borne disease risks associated with urban growth?", "response": "Integrate vector control measures into urban infrastructure planning, such as ensuring effective drainage systems and regular waste management to eliminate mosquito breeding sites. Promote community engagement programs to increase awareness and participation in source reduction activities. Address urban heat islands through increased green spaces and reflective building materials, which may help disrupt mosquito development cycles. Ensure equitable allocation of vector control resources and healthcare services across all neighborhoods to reduce health disparities. Encourage routine surveillance of vector populations and disease incidence to inform targeted interventions in high-risk urban areas."}
-{"question": "Research has indicated that teacher expectations can indirectly influence student motivation and engagement through classroom climate and instructional practices (Jussim & Harber, 2005; Weinstein, 2002). For instance, teachers with higher expectations tend to offer more challenging tasks, provide greater encouragement, and foster a positive learning atmosphere, which in turn enhances student effort and persistence. However, the extent to which these classroom factors mediate the relationship between teacher expectations and student outcomes remains less explored. Investigating the mediating role of classroom climate may help clarify mechanisms underlying expectation effects and identify possible intervention points.", "response": "Examine how classroom climate and instructional practices mediate the impact of teacher expectations on student motivation and engagement. Investigate whether teachers with higher expectations create more supportive or challenging learning environments, and assess how these environments influence student effort and persistence. Consider evaluating the mediating role of classroom factors to better understand and optimize the effects of teacher expectations on student outcomes."}
-{"question": "Based on the observed impacts of urban expansion on local hydrological cycles, what strategies can be implemented to mitigate increased surface runoff and reduce the risk of urban flooding in rapidly growing metropolitan areas?", "response": "Implement green infrastructure such as permeable pavements, green roofs, and urban wetlands to enhance infiltration and reduce surface runoff. Develop and enforce land use regulations that preserve natural vegetation and open spaces. Retrofit existing drainage systems to accommodate higher runoff volumes and incorporate stormwater retention basins. Promote the use of rainwater harvesting and community awareness programs to encourage sustainable water management practices in urban environments."}
-{"question": "Although many studies have emphasized the role of teacher-student relationships in shaping students’ academic engagement (e.g., Hughes et al., 2008; Roorda et al., 2011), the mechanisms underlying this association remain underexplored. Some scholars argue that supportive teacher-student interactions enhance students’ sense of belonging and competence, thereby indirectly boosting engagement (Wentzel, 2009). Others suggest that the consistency and quality of feedback provided by teachers may directly foster greater academic persistence and effort (Pianta & Stuhlman, 2004). However, longitudinal evidence examining how changes in the teacher-student relationship over time influence shifts in academic engagement is still limited, calling for more nuanced research designs and measurements.", "response": "Investigate how fluctuations in teacher-student relationship quality influence changes in academic engagement over time. Use longitudinal designs and multiple measures of relationship quality and engagement to identify possible mediating mechanisms such as sense of belonging and perceived competence. Examine the impact of teacher feedback consistency on students’ academic persistence."}
-{"question": "In recent years, urban planners have increasingly integrated green infrastructure, such as green roofs and urban forests, into city landscapes to mitigate the impacts of heat islands and improve air quality. Studies indicate that these nature-based solutions can not only reduce ambient temperatures but also enhance urban biodiversity and residents' wellbeing. However, their effectiveness varies depending on local climate, urban density, and maintenance practices. What further strategies could cities employ to maximize the environmental benefits of green infrastructure while addressing potential limitations?", "response": "Implement a combination of green infrastructure types tailored to local climate and urban density. Ensure regular maintenance and community involvement to enhance effectiveness. Integrate monitoring systems to assess performance and adapt strategies as needed."}
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/README.md b/policy_analysis/dspy_policies_and_taxonomy_extraction/README.md
new file mode 100644
index 00000000..abfdf888
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/README.md
@@ -0,0 +1,81 @@
+# Extraction des policies et de la taxonomie avec DSPy
+
+L’objectif de ce dossier est de mettre en place une pipeline complète permettant :
+
+* le nettoyage des chunks de texte en amont
+* l’entraînement de modèles d’extraction de policies et de taxonomie
+* l’extraction automatique des policies et de la taxonomie à partir de documents
+* la génération d’une sortie structurée au format JSON, réutilisable dans un pipeline global
+
+L’ensemble de la pipeline repose sur DSPy, utilisé pour optimiser les prompts et entraîner des modèles robustes pour les tâches d’extraction.
+
+# Initial Chunk Cleaning
+
+Cette partie contient le code chargé de nettoyer les chunks de texte avant toute extraction.
+
+Objectifs :
+
+* supprimer le bruit inutile
+* réduire la taille des chunks et le nombre de tokens
+* améliorer la qualité de l’extraction des policies et de la taxonomie
+
+Le script principal est :
+
+* `clean_chunks.py`
+
+Les résultats nettoyés sont sauvegardés sous forme de fichiers parquet et jsonl pour inspection et réutilisation.
+
+Cette étape pourrait être déplacée plus en amont dans un pipeline global, mais elle est actuellement intégrée ici.
+
+# Extraction des policies
+
+Cette partie est dédiée à l’entraînement du modèle d’extraction de policies.
+
+L’objectif est d’extraire les policies présentes dans les chunks de texte, en particulier dans les conclusions des papiers de recherche.
+
+DSPy est utilisé afin d’optimiser le prompt servant à l’extraction des policies.
+L’optimisation vise à maximiser la similarité entre une policy prédite et une policy de référence, en utilisant un cross-encoder comme métrique.
+
+Il existe 32 données labellisées qui peuvent être utilisées comme dataset de validation.
+
+Des données synthétiques ont été générées afin d’augmenter le volume de données d’entraînement et d’améliorer la robustesse du modèle.
+
+Une fois l’optimisation terminée, le modèle DSPy généré est sauvegardé et peut être rechargé pour les phases d’inférence.
+
+
+# Données d’entraînement
+
+Le dossier `model_training_data` contient :
+
+* des données gold pour les policies et la taxonomie,
+* des données synthétiques générées pour l’entraînement des modèles.
+
+Ces données sont utilisées à la fois pour :
+
+* l’optimisation des prompts DSPy,
+* la validation des performances,
+* l’entraînement des modèles d’extraction.
+
+
+# Génération de données synthétiques (taxonomie)
+
+La génération de données synthétiques est principalement utilisée pour la taxonomie.
+
+Le script `taxonomy_data_generator.py` permet de :
+
+* créer des exemples structurés de taxonomie,
+* améliorer la couverture des catégories,
+* standardiser les formats attendus par le modèle d’extraction.
+
+# Pipeline policy et taxonomie
+
+Le script `pipeline_policy_and_taxonomy_extraction.py` est le point d’entrée principal.
+
+Il permet de :
+
+* charger les modèles DSPy de policy et de taxonomie,
+* exécuter l’extraction sur l’ensemble des chunks disponibles,
+* consolider les résultats.
+
+La sortie finale est un fichier JSONL contenant l’ensemble des policies et de la taxonomie extraites.
+
diff --git a/policy_analysis/dspy_policies_extraction/__init__.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/__init__.py
similarity index 100%
rename from policy_analysis/dspy_policies_extraction/__init__.py
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/__init__.py
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/clean_chunks.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/clean_chunks.py
new file mode 100644
index 00000000..d6642648
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/clean_chunks.py
@@ -0,0 +1,147 @@
+import pyarrow.parquet as pq
+import pyarrow as pa
+import pandas as pd
+import re
+import json
+
+# ============================================================
+# CONFIGURATION
+# ============================================================
+
+TEST_RUN = True  
+INPUT_PATH = "C:/Users/calle/Downloads/chunked_results_conclusions_585k_cs1024_ov100_qw3-06B.parquet"
+OUTPUT_JSON_PATH = "cleaned_results_preview.jsonl"
+SAMPLE_SIZE = 100 
+
+# ============================================================
+# REGEX DEFINITIONS
+# ============================================================
+
+REGEX_RULES = {
+    # --- GLOBAL RULES (Applied to whole text) ---
+    
+    # 1. PUA / Garbage Symbols: Removes  etc.
+    "remove_pua_symbols": re.compile(r'[\uE000-\uF8FF]+'),
+
+    # 2. Trim Garbage Start: Stops at the first "dot + space + Capital"
+    "trim_garbage_start": re.compile(r'^(?![A-Z]).*?[.,][\s]*(?=[A-Z])', re.DOTALL),
+    
+    # 3. Results/Discussion Header Cleaning
+    "results_discussions": re.compile(r'(?:^|(?<=[.!?]))[\s#]*(?:RESULTS|DISCUSSION)\b[:\s]*', re.IGNORECASE),
+
+    # 4. SUPER TABLE SOUP
+    "regex_table_soup": re.compile(
+        r'(?:\b(?:[A-Z0-9]{1,5}|[A-Z][a-z]{0,3}\.|omponen|Loading|value|Komponen|N/A|Ave|Max|Min|Tot)(?:\s+|$)){3,}', 
+        re.MULTILINE
+    ),
+
+    # 5. CITATION REMOVER (NEW)
+    #    Handles: (Smith et al. 2019), (2015-2016), (e.g. Doe, 2020; Lee 2021)
+    "remove_citations": re.compile(
+        r'\((?:e\.g\.,?\s*)?(?:[A-Za-z\s.&-]+(?:et\s+al\.?)?,?\s*\d{4}[a-z]?(?:[-–]\d{2,4})?|(?:\d{4}[a-z]?(?:[-–]\d{2,4})?)(?:,\s*\d{4}[a-z]?(?:[-–]\d{2,4})?)*)(?:[;,]\s*(?:[A-Za-z\s.&-]+(?:et\s+al\.?)?,?\s*\d{4}[a-z]?(?:[-–]\d{2,4})?|(?:\d{4}[a-z]?(?:[-–]\d{2,4})?)(?:,\s*\d{4}[a-z]?(?:[-–]\d{2,4})?)*))*\)',
+        re.IGNORECASE
+    ),
+
+    # --- LINE-BY-LINE RULES ---
+    "url_or_doi": re.compile(r'(?:https?://\s*\S+(?:\s+\S+)?)|(?:\bdoi:\s*10\.\S+(?:\s+\S+)?)', re.IGNORECASE),
+    "chapter_titles": re.compile(r'^\s*\d+(?:\.\d+)*\.?\s+.*$', re.MULTILINE),
+    "fig_table_ref": re.compile(r'\s*[\(\[]?(?:see\s+)?(?:Figures?|Figs?\.?|Tables?|Tabs?\.?)\s+(?:S-?)?\d+[A-Za-z]*(?:[-–,]\s*(?:S-?)?\d+[A-Za-z]*)*[\)\]]?', re.IGNORECASE),
+    "encoding_errors": re.compile(r'[\x00-\x08\x0b\x0c\x0e-\x1f\x7f\ufffd]+'),
+    "figure_or_table": re.compile(r'\b(?:Figure|Fig\.?|Table)\s+[A-Z]?\d+(?:-\d+)?(?:\s*\([a-z]\))?\b', re.IGNORECASE),
+}
+
+# ============================================================
+# CLEANING FUNCTION
+# ============================================================
+
+def apply_regex_cleaning(text, regex_rules):
+    if not isinstance(text, str):
+        return "", 0, []
+
+    deleted_count = 0
+    triggered_rules = []
+
+    # --- PHASE 1: Global Rules (Before splitting) ---
+    global_keys = ["remove_pua_symbols", "trim_garbage_start", "results_discussions", "regex_table_soup", "remove_citations"]
+    
+    for key in global_keys:
+        if key in regex_rules:
+            regex = regex_rules[key]
+            if regex.search(text):
+                deleted_count += len(regex.findall(text))
+                if key not in triggered_rules:
+                    triggered_rules.append(key)
+                text = regex.sub(" ", text) # Replace with space
+
+    # --- PHASE 2: Line-by-Line Processing ---
+    lines = text.split("\n")
+    cleaned_lines = []
+
+    for line in lines:
+        line_deleted = 0
+        
+        # 1. Check for full-line deletion
+        if regex_rules.get("figure_or_table") and regex_rules["figure_or_table"].match(line.strip()):
+            deleted_count += 1
+            if "figure_or_table" not in triggered_rules:
+                triggered_rules.append("figure_or_table")
+            continue 
+
+        # 2. Apply inline regexes
+        for name, regex in regex_rules.items():
+            if name in global_keys or name == "figure_or_table":
+                continue
+            
+            matches = regex.findall(line)
+            if matches:
+                line_deleted += len(matches)
+                line = regex.sub("", line)
+                if name not in triggered_rules:
+                    triggered_rules.append(name)
+
+        if line.strip():
+            cleaned_lines.append(line.strip())
+        
+        deleted_count += line_deleted
+
+    # Final cleanup
+    final_text = " ".join(cleaned_lines)
+    final_text = re.sub(r'\s+', ' ', final_text).strip()
+    
+    return final_text, deleted_count, triggered_rules
+
+# ============================================================
+# MAIN EXECUTION
+# ============================================================
+
+parquet_file = pq.ParquetFile(INPUT_PATH)
+target_col = "input_text" if "input_text" in parquet_file.schema.names else "text"
+
+all_results = []
+
+for batch in parquet_file.iter_batches(batch_size=10000):
+    df = batch.to_pandas()
+    if target_col not in df.columns:
+        continue
+
+    if TEST_RUN:
+        df = df.head(SAMPLE_SIZE)
+
+    for idx, text in enumerate(df[target_col]):
+        cleaned_text, deleted_count, triggered_rules = apply_regex_cleaning(text, REGEX_RULES)
+        
+        result = {
+            "cleaned_text": cleaned_text,
+            "deleted_count": deleted_count,
+            "triggered_rules": triggered_rules
+        }
+        all_results.append(result)
+
+    if TEST_RUN:
+        break
+
+with open(OUTPUT_JSON_PATH, "w", encoding="utf-8") as f:
+    for entry in all_results:
+        f.write(json.dumps(entry, ensure_ascii=False) + "\n")
+
+print(f"✅ Nettoyage terminé. Résultat JSONL sauvegardé dans {OUTPUT_JSON_PATH}")
\ No newline at end of file
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/cleaned_results_10k_sample.parquet b/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/cleaned_results_10k_sample.parquet
new file mode 100644
index 00000000..82c52e52
Binary files /dev/null and b/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/cleaned_results_10k_sample.parquet differ
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/cleaned_results_preview.jsonl b/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/cleaned_results_preview.jsonl
new file mode 100644
index 00000000..bef34fda
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/initial_chunk_cleaning/cleaned_results_preview.jsonl
@@ -0,0 +1,100 @@
+{"cleaned_text": "International Journal of Advance Tropical Food PCA was carried out on the 24 physicochemical characters of unhusked and milled rice of . The first principal component (PC1) had eigenvalue of 4.512 with the percentage of variance was 18.049%. PC8 had eigenvalue of 1.074 and the percentage of variance of Graphical representation of variance percentage can be seen on the. It can be shown that the first three of principal components have higher percentageof variance than the remaining components. On the other hand, PC4 and PC5 both have high enough variance to be included as indicators to determine important physicochemical characteristics. Characters Minimum value Maximum value Mean Coefficient of variation (%) Unhusked rice water content (%) Empty grain and adulterants (%) Grain density (g/l) Calky green grain (%) Damaged yellow grain (%) Red grain (%) Milled rice water content (%) Brown rice yield (%) Milled rice yield (%) Head rice (%) Broken rice (%) Small broken rice (%) Calky rice (% Damaged yellow rice (%) Length (mm) Width (mm) L/W ratio Whiteness (%) Translucency (%) Milling degree (%) Amylose content (%) Gelatinization temperature* Gel consistency (mm) Softness deviation (%) *) 1: gelatinization temperature 55-69°C, 2: gelatinization temperature 70-74°C, 3: gelatinization temperature > 74°C International Journal of Advance Tropical Food Principal component matrix Rice germplasms were analyzed using PCA on their 24 physicochemical characters to obtain loading value on each characters. Those value could be used as indicators to choose important characters on each principal components. The value of each accession on each principal components, finally, could be used to show which accessions that have potential to be used in breeding program. Further analysis were using only 5 principle components since those 5 components were enough to conclude the correlation between several important quality characters. The PCA value of each characters is shown on the. Tabel 3. Eigenvalue, % of variance, % of cumulative variance of physicochemical characters of the 46 rice accessions Components Eigenvalue % of Variance % of Cumulative Variance Explanation: PC1 was the first principal component, PC2 was the second principal component, etc. Principal components were new reduced variables that were not correlated between each other in order to help to take a conclusion. International Journal of Advance Tropical Food Tabel 4. Loading value of each characteristics Karakter Components Unhusked rice water content Empty grain and adulterants Grain density Calky green grain Damaged yellow grain Red grain Milled rice water content Brown rice yield Milled rice yield Head rice Broken rice Small broken rice Calky rice Damaged yellow rice Length Width L/W ratio Whiteness Translucency Milling degree Amylose content Gelatinization temperature Gel consistency Softness deviation Information: |loading| ≥ 0.4 was bolden. Chosen parameter was boldened and underlined. Minus (-) sign indicates negative correlation. International Journal of Advance Tropical Food PC1 shows important positive correlation (loading>0.4) on grain density (DG), width (W), whiteness (WD), milling degree (MD), and amylose content (AC) and negative correlation (loading<-0.4) on milled rice", "deleted_count": 10, "triggered_rules": ["trim_garbage_start", "figure_or_table", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "Chosen parameter was boldened and underlined. Minus (-) sign indicates negative correlation. International Journal of Advance Tropical Food PC1 shows important positive correlation (loading>0.4) on grain density (DG), width (W), whiteness (WD), milling degree (MD), and amylose content (AC) and negative correlation (loading<-0.4) on milled rice yield (MRY), damaged yellow rice (DYRP), length (L), L/W ratio (LWR), gel consistency (GC), and softness deviation (SD). Thus, PC1 can be used to select accessions that have round grain, high amylose content with hard texture, and white colored. On the other hand, PC1 is negatively correlated with milled rice yield which is undesireable. Graphical representation of PC1 is shown on. PC2 shows positive correlation (loading>0.4) on weight of 1000 grains , calky green grain (CGG), damaged yellow grain (DYG), broken rice percentage (BRP), small broken rice (SBRP), calky rice (CRP), whiteness (WD), milling degree (MD), gel consistency (GC), and softness deviation (SD). On the other hand, it is negatively correlated (loading<-0.4) with head rice percentage (HRP) and amylose content (AC). This indicates bad quality characteristics with low head rice, but high broken grain. Nevertheless, PC2 still can be utilized to select which accessions having low amylose content (sticky rice). Graphical representation of the PC is shown on Figure . PC3 indicates important positive correlation (loading>0.4) on grain density (GD), weight of Characters Characters International Journal of Advance Tropical Food 0190101-16 component can be used to select accession with high yield and likeable texture. PC3’s graph is shown on the Figure PC4 shows important positive correlation (loading>0.5) on calky green grain (CGG), red grain (RG), calky rice (CRP), length (L), length/width ratio (LWR), and gelatinization temperature (GT). It was negatively correlated (loading<-0.4) with width (W), transluecency (T), and gel consistency (GC). This component is suitable as indicator for long and slender grain. On the other hand, it has several undesirable characteristics, such as higher percentage of green, red, and calky grain. It also has more opaque appearance. Graph of the PC4 is shown on the. Characters Characters", "deleted_count": 16, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "This component is suitable to be an indicator for accessions that are potential for developing premium rice. Graphical representation of PC5 is shown on. Aksesi Characters International Journal of Advance Tropical Food Aksesi Komponen Information: Loading > 1 was boldened. Accessions that have loading>1 on both PC3 and PC5 were boldened and shaded. Accession selection according to the components’ score (accession 10489) to 3.445 (accession 10515). On PC4, the loading is from -3.781 (accession 10599) to 4.640 (accession 10510). On PC5, the loading is from -3.655 (accession 10510) to According to Gour et al. , the value of cutoff used should be 1. It means, accessions to be considered will have loading score >1. Accessions that have the score >1 on PC1 were correlated with roundness shape and high amylose content with low milling yield (13 accessions); on PC2, they were correlated with low amylose content, ie sticky rice (9 accessions); on PC3, they were correlated with high yield rice and likeable texture (16 accessions); on PC4, they were correlated with long and slender grain (10 accessions); and finally, on PC5, they were correlated with premium rice (11 accessions). The grouping is shown on. International Journal of Advance Tropical Food Information: Accessions that have both loading >1 on PC3 and PC5 were boldened Suitable accessions for round-shaped rice development are 10500, 10592, 10477, 10496, 10515, 10577, 10482, 10572, 10506, 10548, 10591, 10474, dan 10550. For developing low amylose content or sticky rice, accession 10489, 10474, 10535, 10592, 10496, 10515, 10476, 10572, dan 10560 are", "deleted_count": 10, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "For developing low amylose content or sticky rice, accession 10489, 10474, 10535, 10592, 10496, 10515, 10476, 10572, dan 10560 are considered. For long and slender grain, accession 10510, 10470, 10474, 10513, 10592, 10515, 10496, 10491, 10471, dan 10499 can be used as parents in the breeding program. PC3 and PC5 can be used in tandem as indicator for accession with good milling quality, yield, and well liked by consumers. There are 7 potential accessions as genetic materials for premium rice development, i.e. 10479 (Umbul-umbul), 10486 (Babad Cianjur), Nomor Aksesi Nama Umbul-umbul Babad Cianjur Marus Siregi Logawa Umbul-umbul The grouping of accessions The grouping of accessions from PCA result using HCPC showed that the accessions could be grouped into 4 according to their physicochemical characters. Group I included 11 accessions, group II was 3 accessions, group III was 8 accessions, and group IV had 24 accessions. By reviewing their score on each components, it was shown that group I had mainly positive score on PC1 and PC3, group II had negative score on PC1 and PC3, group III had negative score on PC2, PC3, and PC5, finally, group IV has positive score on PC3 and PC5. It was not surprising that 6 of . International Journal of Advance Tropical Food Dendogram pengelompokan aksesi serta nilai pada masing-masing komponen: a) dendogram resulted from HCPC analysis. Number I to IV indicates group’s number. Potential accessions are shaded in grey. b) accessions’ loading score on each components ## DISCUSSION (619), 10515 (Siregi), 10551 (Logawa), dan 10562 (Umbul-umbul). The grouping of accessions resulted in 4 main group with the group IV is dominated by high yield and premium quality characters.", "deleted_count": 7, "triggered_rules": ["trim_garbage_start", "fig_table_ref", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "The way people handle stress has a significant influence on how it affects their general well-being. There has been a lot of research on stress management in the teaching profession. Many studies have been done to determine the sources of stress for educators. For example, a study by Shaheen and Mahmood and Skaalvik and Skaalvik reveals a number of stressors, such as work-related stress, depression, success-related feelings, a lack of emotional support, workload, interpersonal relationships, and the workplace. According to Cooper and Dewe and Dlamini & Adams , stress factors can have physiological as well as psychological effects, which can result in health problems, anxiety, anger, depression, and feelings of inadequacy. Stress among teachers has serious effects on both teachers and students. Reduced job commitment, job satisfaction, and teaching quality have all been associated with high levels of stress . Teachers under stress may also exhibit less effective classroom management and teaching strategies, which can have a detrimental impact on students' learning outcomes. Teachers use a range of coping mechanisms to handle stress. These tactics fall into two general categories: direct action and palliative methods. Exercise, smoking, and alcohol consumption are examples of palliative techniques that are intended to lessen emotional distress . Proactive approaches to managing stressors, such as talking to mental health specialists or colleagues, are referred to as direct action techniques. Teachers frequently rely on administrators and other staff members for social support, which is a critical component of stress management . Teachers with positive social networks have been found to have better mental and physical health . Furthermore, teachers' well-being is significantly impacted by the support of their spouses and romantic partners . The unique stressors that preschool teachers encounter stem from their role as careers for young students. Teachers are required by the Kurikulum Standard Pra Sekolah (Standard Preschool Curriculum) to get their students ready for national exams. This creates a number of issues, including crammed classrooms and a lack of support from parents and administrators. Preschool teachers' job satisfaction and commitment are negatively impacted by stress, which may result in attrition and lower the standard of instruction for young students. Stress among teachers is a common and alarming problem that is fueled by a number of factors. Effective coping mechanisms and social support networks are essential, given the detrimental effects of stress on educators and learners. By comprehending the difficulties educators encounter and recognizing effective coping strategies, the teaching profession can strive to establish a nurturing and enduring work atmosphere. To create more resilient coping mechanisms and safeguard the welfare of both educators and learners, more research is necessary. This will ultimately help to create a supportive and productive learning environment. On the other hand, work overload describes a situation in which a person is overburdened with tasks, responsibilities, or work that exceeds their ability to manage or finish. This may result in higher levels of stress, lower output, and detrimental effects on well-being and job satisfaction. According to Osaat and Ekechukwu , workloads are the duties or all the tasks carried out by workers in the course of their activities in their workplace. Relating to the lecturers, workloads are professional and non- professional duties carried out by the lecturers in the course of their activities in the instruction of students. Lecturers are the greatest assets as well as major stakeholders in the university industry. Osaat and Ekechukwu also note that the main work of lecturers is to teach and bring up the young generation of students to acquire skills and knowledge for growth and development. Teaching is a difficult task and demands serious commitment In addition to the responsibilities listed above, lecturers handle a wide range of other tasks, some of which are difficult and occasionally conflict with their main responsibilities as academic staff members and teachers. Lecturers may experience work overload due to a variety of reasons, including grading and assessment, student supervision, resource constraints, long teaching days, research and publication obligations, and administrative duties. These lecturers' primary responsibility is teaching, which exposes them to a variety of tasks almost simultaneously. The National Universities Commission", "deleted_count": 13, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles"]}
+{"cleaned_text": "In addition to the responsibilities listed above, lecturers handle a wide range of other tasks, some of which are difficult and occasionally conflict with their main responsibilities as academic staff members and teachers. Lecturers may experience work overload due to a variety of reasons, including grading and assessment, student supervision, resource constraints, long teaching days, research and publication obligations, and administrative duties. These lecturers' primary responsibility is teaching, which exposes them to a variety of tasks almost simultaneously. The National Universities Commission (NUC) Benchmark Minimum Academic Standard (BMAS) recommendation of students to lecturers is not followed by many Nigerian universities, which adds to the burden of teaching a large number of students in each class . For various student categories (regular undergraduate, part-time undergraduate, sandwich, postgraduate, pre-degree, open and distance education, etc.), they instruct up to four to five courses or more. As a result, they work continuously throughout the year with little to no vacation. According to the American Psychological Association , one of the things that causes stress among workers is overwork (excess workload). However, the recommendations made by lecturers to students regarding the NUC (National Universities Commission) are tailored according to the unique characteristics of each faculty. For instance, NUC shows that for the faculties of Administration, Arts, Education, Law, and Social Sciences, the Lecturer-Student Ratio (LSR) is 1:30; for Science, the LSR is 1:20; for Technology, Environmental Design, and Management, and Agricultural Science, the LSR is 1:15. For Basic Medical Sciences, Clinical Sciences, Dentistry, and Pharmacy, the LSR is 1:10. Brief Historical Background of Obafemi Awolowo University Obafemi Awolowo University, located in IleIfe, Nigeria, is a renowned institution of higher education. It was established in 1962 as the University of Ife by the regional government of Western Nigeria, under the leadership of Chief Samuel Ladoke Akintola, the then Premier of the Western Region of Nigeria. In 1987, the university was renamed Obafemi Awolowo University in honor of Chief Obafemi Awolowo, a prominent Nigerian nationalist, lawyer, and statesman who played a significant role in the country's fight for independence. Currently, Obafemi Awolowo University houses 13 faculties: Environmental Design and Management These faculties are then divided into various departments, offering a wide range of academic programs. Each department specializes in specific areas of study. In summary, Obafemi Awolowo University provides a comprehensive educational experience. The university has remained a well-known center of excellence over the years, according to information retrieved from the university website and signed by Omosule, registrar and secretary to the council . Known as \"the most beautiful\" campus south of Sub-Saharan Africa, the university has produced National Merit Award winners and a Nobel Laureate among its faculty. It has also led the way in the development of cutting-edge technologies that can help address some of the current problems facing society. Academic Strengths of Obafemi Awolowo University Based on the report of the Federal Ministry of Education to Obafemi Awolowo University, Ile-Ife. The attached table shows the academic staff distribution among the 13 faculties in the University as of the 2018/2019 academic session. Faculty Number of Academic Staff Student Enrolment Teacher/ student ratio Nuc Ratio No On Ground Nuc Benchm Ark Shortfall Excess Administration Agriculture Arts Basic Medical Sciences Clinical Sciences Dentistry Education Environmental Design and Management Law Pharmacy Science Social Sciences Technology Total Source: DAP Office, OAU The above table illustrates the extremely deplorable state of affairs in the university, with only five (5) of the thirteen faculties having reached the required lecturer-to-student ratio and, consequently, meeting NUC benchmarks in their respective fields. There are", "deleted_count": 19, "triggered_rules": ["remove_citations", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "OAU The above table illustrates the extremely deplorable state of affairs in the university, with only five (5) of the thirteen faculties having reached the required lecturer-to-student ratio and, consequently, meeting NUC benchmarks in their respective fields. There are significant gaps in the remaining eight faculties, with the Faculty of Technology having the largest deficit at 154 academic staff members. Compared to the 370 shortages noted in the 2017/2018 session, there are now 435 total shortfalls for the 13 faculties. However, the Registrar and Secretary to the Council, Omosule , states in the job advertisement for the university registrar position that the university's initial enrollment of 244 students has increased to 34,036 as of the 2021/2022 academic year. Additionally, the university, which began operations with 94 employees, has expanded to employ 4,000 people, of whom 2,635 are non-teaching staff and 1,365 are academic staff. The data above is consistent with the finding of Osaat and Ekechukwu , which reveals that academic staff members in most universities in Nigeria are observed to be overworked because, regrettably, the number of academic staff does not keep up with the growing number of students enrolling in universities. In a nutshell, the abundance of data gathered overwhelmingly indicates that there is a significant shortage of staff members at Obafemi Awolowo University, Ile-Ife, Nigeria. This inadequacy of lecturers has the potential to impose excessive workloads on the existing lecturers, subsequently having a detrimental impact on their performance and job satisfaction. Work Overload: Impact on Lecturers' Stress Levels, Job Satisfaction, and Overall Well-Being Work overload can have a significant impact on lecturers' stress levels, job satisfaction, and overall well-being. When lecturers have an excessive workload, they often experience higher levels of stress. The pressure to complete numerous tasks within tight deadlines can lead to feelings of overwhelm and anxiety. Chronic stress can have detrimental effects on mental and physical health, leading to burnout, exhaustion, and decreased productivity . Work overload can diminish job satisfaction among lecturers. When they constantly feel overwhelmed by their workload, they may find less enjoyment and fulfillment in their work. Lecturers may struggle to maintain enthusiasm for teaching, Work overload can significantly impact the overall well-being of lecturers. The sustained pressure and demands can lead to a lack of work- life balance, causing strain on personal relationships, decreased leisure time, and neglect of self-care. Lecturers may experience physical symptoms such as headaches, fatigue, and sleep disorders. Moreover, work overload can negatively impact their psychological well-being, leading to feelings of overwhelm, frustration, and a compromised sense of purpose. Work overload brings about unnecessary stress, fatigue, and headaches, which has led to the demise of many lecturers . Paradoxically, excessive workload can impair lecturers' productivity and the quality of their work. When lecturers are overloaded, they may have to rush through tasks, leading to subpar performance. The lack of time for adequate preparation, grading, and feedback can compromise the quality of teaching and supervision, affecting the student's learning experience in the long run. If work overload persists over time, lecturers may find it challenging to engage in professional development activities, conduct research, or publish papers. A lack of time and energy may hinder their ability to pursue promotions, grants, and other career advancements, potentially affecting their career progression in academia . It should be noted that mitigating work overload is crucial to supporting lecturers' well- being, job satisfaction, and overall effectiveness. Strategies such as workload distribution, realistic expectations, supportive work environments, adequate resources, and time management training can help alleviate the burden and create a healthier and more productive work environment for lecturers. Empirical Studies Previous research has shown that the excessive bureaucratic tasks that European university professors must add to their teaching and research responsibilities frequently have an impact on their psychosocial well-being, which includes their coping mechanisms, internal states (mood), and psychophysical well-being.", "deleted_count": 7, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles"]}
+{"cleaned_text": "Strategies such as workload distribution, realistic expectations, supportive work environments, adequate resources, and time management training can help alleviate the burden and create a healthier and more productive work environment for lecturers. Empirical Studies Previous research has shown that the excessive bureaucratic tasks that European university professors must add to their teaching and research responsibilities frequently have an impact on their psychosocial well-being, which includes their coping mechanisms, internal states (mood), and psychophysical well-being. According to Tight , the perception among academics today that their workloads are getting heavier may be directly related to the amount of time they spend on administration; nonetheless, the rising quantity and percentage of academic time that is spent on administrative tasks can have an impact on university lecturers' well-being. Put differently, the teacher's commitment to completing all of his responsibilities to the best of his ability, almost to the point of alienation, makes the workload a risk factor for stress (Pace, D'Urso, Zappulla, & Pace, 2019). Their research concludes that university professors' negative perception of their work-related well-being is predisposed by their workload, which is associated with bureaucratic university procedures. Furthermore, according to several studies , this may pose a risk to the university as a whole. Hobson and Beach's study highlighted the risk factors associated with psychological health, including excessive workloads and frustrating work-related excesses. On the other hand, workload can decrease if one works in a non-compulsive manner and does not take on excessive tasks . Conversely, other research has indicated that university lecturers face occupational constriction due to inadequate funding and resources, work overload, or poor management practices relative to requirements, which may put them under stress . According to the Health and Safety Executive in Great Britain, stress, anxiety, and depression are linked to 39% of work-related complaints. It also stated that the age group of 45– Wu, and Wang on occupational stress and its related factors among Chinese university lecturers. Specifically, mental health, role overload, role insufficiency, social support, monthly income, role Pace, 2013). Additionally, the study by Bauer et al. on working conditions: adverse events and mental health problems in a sample of 949 German teachers highlighted that many participants reported significant mental health problems regarding stress, concentration skills, sleep issues, decision-making ability, and feelings of depression and sadness. In a recent contribution, it was discovered (Hogan, Hogan, & Hodgins, 2016) that workaholism is more common in academia in Ireland than in other professions and that it negatively affects both psychological well-being and work-related outcomes. According to research by Kinman and Wray , there is a tendency for stress to increase with time, and 75% of lecturers believe their job is stressful. Hobson and Beach looked at the relationship between psychological health, work-related stress, and excessive workloads. The study conducted by Arbabisarjou, Ajdari, Omeidi, and Jalalinejad examined the connection between hospital nurses' performance and job stress in Iran. The descriptive correlation research method was employed. Of all the nurses, Pearson coefficient correlation were used to analyze the data. The study's conclusion demonstrates that there is a negative relationship between performance and job stress. A study by Warraich, Ahmed, Ahmend, and Khoso examined the impact of stress on workers' job performance in Karachi, Pakistan's private universities. For the study", "deleted_count": 16, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles"]}
+{"cleaned_text": "One hundred questionnaire copies were examined. Regression analysis and Pearson coefficient correlation were used to analyze the data. The study's conclusion demonstrates that there is a negative relationship between performance and job stress. A study by Warraich, Ahmed, Ahmend, and Khoso examined the impact of stress on workers' job performance in Karachi, Pakistan's private universities. For the study, 133 staff members of private universities in Karachi that offer courses in business administration, engineering, medicine, textiles, and fashion were used. The theory was tested using the multiple linear regression technique. Workload, role conflict, and inadequate financial compensation are the main causes of employee stress, according to the data, and this stress lowers employee efficiency. According to the study, to improve employees' job performance and job satisfaction, employers should reduce stress by reducing workload, reducing role conflict, paying a fair salary, and offering employees training and counseling. A study on academics' emotional intelligence and job stress performance was conducted by Yusoff, Khan, and Azam , 65 faculty members from two Pakistani universities, one public and one private, were included in the study's sample. A questionnaire was used to gather the data, and descriptive and inferential statistics were used to analyze it. It was discovered that there is a strong positive correlation between emotional intelligence and job performance, but a negative correlation between job stress and performance. It was suggested that Pakistan's higher education system attempt to manage students' emotional competence by fostering a positive work environment, in addition to concentrating on identifying job stress factors. Anazodo, Onyeizugbe, and Uchenna note that there is a strong positive correlation between work-life balance and academic performance and that academic workload has an impact on the health of Nigerian university lecturers. According to the study's findings, stress management is essential for raising the caliber of instruction delivered by Nigerian university lecturers, and ignoring this practice will hinder the expansion of the higher education sector. Pedro and Roberts looked at the connection between management communication and the perception of organizational support a factor that affects employee performance. A panel design with cross-lags was used in the study. A social service organization in the mid-Atlantic region of the United States distributed 575 copies of the questionnaire to supervisors and subordinates. The study's conclusion indicates that there was a positive correlation between management communication and a change in perceived organizational support over time. The study concludes that management communication has an impact on performance primarily because it conveys to workers that the company values their contributions to the organization's expansion and cares about their well-being. In South Korea, Kyoung looked into how affective commitment and role performance were affected by work-life balance. Information was obtained from 293 Korean labourers. Regression analysis and structural equations were used in the study to test the hypothesis. The outcome demonstrates that work-life balance has no direct impact on in-role performance. The study also shows that affective commitment is positively correlated with in-role performance and that employees' experiences of work-life balance enhance affective commitment. Amina and Bako examined the effects of stress on the performance of university lecturers in Nigeria. The study looked at pertinent empirical research on the relationship between job stress and the performance of Nigerian university lecturers. The study focused on how stress negatively affects lecturers' performance in Nigerian universities, highlighting issues such as depression, poor sexual performance, fabricating excuses for poor work, chronic fatigue, difficulty making decisions, and social disengagement. According to the report, individuals should evaluate their values, identify their ideal lifestyles, and then work on improving their problem-solving abilities. A study by Osaat and Ekechukwu examined the workload of lecturers and its impact on their job performance, as well as effective management techniques to handle workload, are important factors to consider. The study also looked at coping mechanisms for handling workloads, such as time management, setting priorities for different tasks, and consistently taking short breaks or vacations. Therefore, their study concludes that Nigerian lecturers would work and live to work again if these strategies were followed by administrations and instructors alike; hence, the workload would be managed to a great extent. Stress management skills were studied by Nnabuife, Onyeizugbe, and Onwuka as a requirement for enhancing the performance of female lecturers in Nigerian universities. The research utilized a descriptive survey that involved administering questionnaires. A total of 135 participants were chosen from seven Nigerian universities. Z-test and statistical summation techniques were used to analyze the data at the 0.05 level of significance. According to the study, female lecturers in Nigerian universities experience health problems as a result of occupational stress.", "deleted_count": 9, "triggered_rules": ["trim_garbage_start", "remove_citations"]}
+{"cleaned_text": "The research utilized a descriptive survey that involved administering questionnaires. A total of 135 participants were chosen from seven Nigerian universities. Z-test and statistical summation techniques were used to analyze the data at the 0.05 level of significance. According to the study, female lecturers in Nigerian universities experience health problems as a result of occupational stress. The study suggests that to guarantee that its goals are consistently met, efficient stress management policies should be implemented, regularly funded, and reviewed. In Kwara State College of Education in Nigeria, Alabi, Marlala, and Lawal investigated the nature of the relationship between lecturers' job performance and work stress. The correlation design method was used in the study. For the study, a random selection of 111 lecturers was made. The results show that lecturers had an excessive amount of work to do for academic purposes. Also, behavioral and psychological work stress had a negative impact on lecturers' ability to perform their jobs. It was suggested that lecturers take a regular stress management induction course. Kyriacou emphasized that it is imperative to keep an eye on the degree to which academic systems are contributing to elevated levels of stress among educators and look into the reasons behind the success of certain lecturers in navigating periods of career reappraisal and maintaining a positive commitment to employment (particularly research and instructional activities). According to Sarmiento's study, routinely practicing biofeedback, which entails monitoring one's body functions to improve one's general health, is one way to manage stress brought on by workload. Mayo contends that, among other strategies, effective time management, learning to say no, taking a vacation, and listening to music are effective ways to deal with work-related stress. In a similar vein, Orluwene notes that to manage their workload, employees should take advantage of quick breaks to go for a walk or take lunch and refreshments. They should also plan a balanced schedule of daily tasks to avoid burnout. According to research by Susic , taking a break from work and unplugging for a while is crucial as it allows the body, soul, and spirit to rest. Potential Strategies to Manage and Mitigate Work Overload among Lecturers Managing and mitigating work overload among lecturers requires a multi-faceted approach that focuses on various aspects of their workload and well-being. The following were considered as some interventions and strategies that can be implemented: Ensuring a fair and equitable distribution of workload among lecturers can help prevent excessive workloads. This may involve reviewing teaching assignments, research responsibilities, and Providing lecturers with the necessary resources, such as teaching assistants, support staff, technology, and budget allocations, can help alleviate their workload. Having access to appropriate resources can enhance efficiency and productivity, allowing lecturers to focus on their core responsibilities. In addition, offering training programs on time management, organizational skills, and stress management can equip lecturers with tools and techniques to better manage their workload and enhance their resilience. Training in these areas can also help improve their efficiency and reduce stress levels. Creating a supportive work environment where lecturers can openly communicate their challenges and seek assistance is crucial. Encouraging teamwork, collaboration, and mutual support among lecturers can also help alleviate work overload through shared responsibilities and collective problem-solving. Simplifying and streamlining administrative processes can help reduce the burden on lecturers. Automating routine administrative tasks, minimizing paperwork, and leveraging technology for streamlined processes can free up lecturers' time and energy to focus on their core responsibilities. Promoting work-life balance initiatives, such as flexible work arrangements, wellness programs, and initiatives to promote healthy and positive work environments, can support lecturers' well-being. These initiatives can help alleviate work overload by providing opportunities for rest, relaxation, and personal time. There is a need for the establishment of regular feedback mechanisms and evaluation processes to ensure that workload distribution and performance expectations are reviewed periodically. This can help identify and address workload issues proactively and provide opportunities for adjustments based on feedback from lecturers. Furthermore, encouraging collaboration and networking opportunities with other lecturers and researchers can support lecturers in sharing workloads, ideas, and resources. Collaborative projects and partnerships can help distribute workloads and enhance productivity. The need for establishing effective communication channels and feedback loops between lecturers, department heads, and administration can open dialogues regarding workload concerns. This can help identify potential problems and work towards finding appropriate solutions. In a nutshell, executing these interventions and strategies collectively", "deleted_count": 8, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles"]}
+{"cleaned_text": "Furthermore, encouraging collaboration and networking opportunities with other lecturers and researchers can support lecturers in sharing workloads, ideas, and resources. Collaborative projects and partnerships can help distribute workloads and enhance productivity. The need for establishing effective communication channels and feedback loops between lecturers, department heads, and administration can open dialogues regarding workload concerns. This can help identify potential problems and work towards finding appropriate solutions. In a nutshell, executing these interventions and strategies collectively can help manage and mitigate work overload among lecturers, creating a healthier and more productive work environment. The study's conclusions indicate that a heavy workload and related stressors may be linked to many unfavorable effects, such as diminished physical health, burnout, and job dissatisfaction. Existing lecturers reported feeling emotionally exhausted from their excessive workloads and finding it difficult to maintain a work-life balance as a result of the inadequate academic staff members. These results highlight how crucial it is to address work overload in higher education to protect lecturers' health and output. According to the study's findings, work overload negatively impacts the well-being of lecturers at Obafemi Awolowo University in Ile-Ife, Nigeria. As a result, recruiting more lecturers to fill open positions will help the university comply with the NUC's recommendation concerning the lecturer-to-student ratio. Based on the research findings, several recommendations can be made to help alleviate work overload and enhance the well-being of lecturers at Obafemi Awolowo University. By implementing these recommendations, Obafemi Awolowo University and other educational institutions can take significant strides towards promoting the well-being of its lecturers and creating a conducive work environment that supports productivity and job satisfaction. It recommends that the university administration consider implementing workload management policies and practices that promote a balanced distribution of teaching, research, and administrative responsibilities. This could involve revising curriculum guidelines, providing adequate resources and support for lecturers, and fostering a culture of collaboration and teamwork. It is essential to provide professional development opportunities and training programs for lecturers to enhance their time management and organizational skills. This can help them prioritize tasks effectively and optimize their productivity, ultimately reducing work overload. The paper suggests that the creation of a supportive work environment that encourages open communication, feedback, and recognition can contribute to lecturers' well-being. Regular meetings, a mentoring program, and wellness initiatives can foster a sense of belonging and reduce stress levels. The study also recommends that the university management should comply with the NUC recommendation on the lecturers/students ratio by recruiting more academic staff members. This will reduce the workload on the existing lecturers.", "deleted_count": 2, "triggered_rules": ["trim_garbage_start", "results_discussions"]}
+{"cleaned_text": "SST Anomalies, and peat fire occurrence Like other tropical regions, Central Kalimantan experiences two seasons namely a dry and a wet season. Previous studies have defined dry and wet seasons in Central Kalimantan by using the monthly rainfall variation. But this monthly precipitation is not sufficient to understand the fires that occur almost every day even in June or before the dry season. Therefore we examined the precipitation variability to investigate the influence of precipitation variability on the fire activity in the MRP area by analyzing the 30-years of daily precipitation data from The analysis clearly shows a U-shaped precipitation pattern in Palangkaraya with a high plateau from December to March and a trough reaching minimum in the middle of August, clearly shows the actual wet and dry periods in Palangkaraya. This pattern is one of three typical precipitation patterns in Indonesia . A daily mean precipitation (7.8 mm) is used here to differentiate the dry and wet periods in Palangkaraya. The wet period lasts for about seven months and it is two months longer than the dry periods. Thus, the length of the dry periods is about five months from the start of June (DN 152) to the end of October (DN 301). This study defines June to October as the dry periods in Palangkaraya. The precipitation pattern in clearly shows the large difference in precipitation between the wet and dry periods in Palangkaraya. There is a more than two times difference between the mean daily precipitation values in the dry periods (4.7 mm) and wet periods (10.0 mm), and the total precipitation in the dry periods (698.9 mm) is Ground water level measurement point Tjilik Riwut climatology station Scale: 1 : 1,400,000 Palangkaraya during the dry period. Low daily precipitation, less than the mean dry precipitation (4.7 mm), occurred between July and September and the lowest daily precipitation of less than U-curve shape is for the rate of occurrence of rainless days. The rate of occurrence of rainless days is higher than the number of rainy days in a year. Occurrence rates of rainless days in the wet period are between 38 and 60% and increases to more than 60% in the dry period. The occurrence rates of rainy days are between 20 and 36% in the wet period and less than 15% in the dry period. In the peak of the dry period, the middle of August, there are not only high occurrence rates (more than 80%) of rainless days but also low occurrence rates (less than 10%) of rainy days. Under these occurrence rates, dry weather conditions are created and conducive conditions of ignition of peat are created; stimulating the high fire activity in the area in this period. Almost all of the past positive Niño 3.4 SST Anomalies or El Niño events brought droughts to Indonesia. The total amount of precipitation during the Day Number Precipitation (mm) Precipitation SD Mean wet precipitation (10.0 mm) Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Dry Period Mean precipitation (7.8 mm) Mean Annual Precipitation : 2846 mm Mean wet precipitation (10.0 mm) Mean dry precipitation (4.7 mm)", "deleted_count": 11, "triggered_rules": ["trim_garbage_start", "remove_citations", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "Smoothed-thick curve represents the daily precipitation observational mean. (bottom curve) and same or less than 1.5 mm (upper curve). Day number Occurrences Rate (%) RF<=1.5 mm RF > 10 mm Jan Feb Mar May Jun Jul Apr Sep Aug Oct Nov Dec Dry period The effect of the precipitation pattern of the dry season on peat fire occurrence in the Mega Rice Project area, Central Kalimantan, Indonesia dry period in Palangkaraya is estimated at around 698.9 mm or 24.6% of mean annual precipitation (2845.7 mm). However the amount of precipitation in the dry period of El Niño years may be below 15% of the mean annual precipitation (2845.7 mm), such as in 1982 (240.8 mm, 8.46%), 1987 (347.5 mm, 12.21%), 1991 (292.8 mm, 10.29%), 1997 (117.0 mm, 4.11%), 2002 (308.1 mm, 10.83%), and in 2006 (294.5 mm, 10.35%). These numbers suggest that severe droughts occurred during the dry period of El Niño years, with resulting severe fire occurrences. The number of hotspots or fires detected in Central Kalimantan are 26,757 in 1997; 19,470 in 2002; and 41,102 in 2006 . There is a negative correlation between Niño 3.4 SST Anomalies and precipitation in Palangkaraya during the dry period. Previously, a strong correlation between SST anomalies and the precipitation variability were reported for some regions in Indonesia . The Niño 3.4 SST Anomalies of more than ºC bring less than 500 mm precipitation in the dry period such as in 1991 (292.8 mm, +0.8 ºC), and 2006 (294.5 mm, +0.5 ºC). Less than 350 mm precipitation occurred in the dry period when the Niño 3.4 SST anomalies average was above +1 ºC as in 1982 (240.8 mm, +1.4 ºC), and 2002 (308.1 mm, +1.1 ºC). There was only 117.0 mm of precipitation during the dry period of 1997 when the Niño 3.4 SST anomaly averaged 2.1 ºC. Low Niño 3.4 SST Anomalies smaller than -0.5 ºC brings large amounts of precipitation in the dry period. The amount of precipitation in the dry period exceeded 850 mm in 1988, 1998, 1999, and 2007 when the Niño 3.4 SST Anomalies in the dry period were below ºC. However, below mean value precipitation also occurred in several neutral or non El Niño years such as in 1990, 2003, and 2005, when there were low positive Niño 3.4 SST Anomalies, between +0.1 ºC and +0.5 ºC, in the dry season. This study used the total number of rainless days (TNR) and the maximum number of consecutive rainless days (MNR) in the dry season to assess fire risks in the MRP area based on the precipitation variability. Considerable variation in fire risks from year to year in MRP has been shown to be closely related to the rainfall and length of dry season (Wösten et al. 2008). The longest TNR (", "deleted_count": 6, "triggered_rules": ["trim_garbage_start", "remove_citations", "figure_or_table", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "This study used the total number of rainless days (TNR) and the maximum number of consecutive rainless days (MNR) in the dry season to assess fire risks in the MRP area based on the precipitation variability. Considerable variation in fire risks from year to year in MRP has been shown to be closely related to the rainfall and length of dry season (Wösten et al. 2008). The longest TNR (144 days) and MNR (98 days) occurred in the dry period between June and October of ºC), and made 1997 experience the October, 1978 – 2006. R Average Niño 3.4 SST Anomalies (oC) Total precipitation (mm) Year Number of Day This high positive Niño 3.4 SST Anomalies of more than 0C in 1997 lasted longer, from June 1997 until March 1998, and made 1997/1998 the longest El Niño event in the decades. Another high TNR and MNR occurred in the El Niño year of 2002, which brought another long dry period in Palangkaraya. Further, the TNR in the dry periods of Palangkaraya. There is an exception in 2007 which suffered from an exceptionally large rainfall all of the year due to a La Niña event. Thus, this study clearly showed a positive correlation between Niño 3.4 SST Anomalies and both of TNR and MNR; indicating that the recent severe dry conditions in Palangkaraya are closely related with positive Niño 3.4 SST Anomaly occurrences. Hotspots or fires in the MRP area numbered 7017, 4618, and 2052 in the dry periods of the El Niño years 2006, 2004, and 2002, respectively. The large number of hotspots showed that peat fires in the MRP area are more common in El Niño years. Murdiyarso and Adiningsih showed the role of the El Niño Southern Oscillation (ENSO) in providing dry weather inducing biomass burning and widespread fires. However, there were more than 1,500 fires in the dry period (June to October) of the non El Niño years of 2001, 2003, 2004, and 2005 when the Niño 3.4 SST Anomalies were between ºC and 0.3 ºC, indicating that recently a large number of fires is strongly correlated with positive Niño 3.4 SST Anomalies, even when the values are low positive ones. The peat fire occurrence graph for the MRP area clearly shows that intermittent fires occur in the wet season but that fires are much more intense in the Average Niño 3.4 SST Anomalies (0C) Number of days Palangkaraya SD Average Prcp", "deleted_count": 15, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "chapter_titles", "figure_or_table", "fig_table_ref"]}
+{"cleaned_text": "SD Average Prcp Note : El Nino years is indicated in bold-italic. * : indicate that the value is more than 1 SD from average ** : indicate that the value is less than 1 SD from average The effect of the precipitation pattern of the dry season on peat fire occurrence in the Mega Rice Project area, Central Kalimantan, Indonesia dry period. The number of fires increased progressively in the dry period as the dry period progressed. Fires in the starting month of the dry period (June) contributed only 1.24% of the total number of fires, but fires at the end of the dry period (October) contributes more than 39% of the total fire number. More than 88% of fires occurred in the dry period, strongly suggesting a coupling of the dry period and fire occurrences in the MRP area. MRP area coincide with the precipitation curve. Daily precipitation decreased gradually from June and reached the lowest point in the middle of August, creating the necessary dry conditions for fires to ignite. Then, fires start to occur on a daily basis from the middle of June and become numerous from the end of July, making the end Year Number of hotspots Average Niño 3.4 SST Anomalies Hotspots Average SST Anomalies Day Number Number of hotspots Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec MRP area Dry Period Peak fire period Annual fires : Fire season of July the start of the fire season in the MRP area. The fire period peaks from the middle of August when daily precipitation drops below the lowest mean value, less than 3 mm. This is caused as fires spread rapidly when they take hold in dry surface biomass and dry peat . The fire season ended at the start of November or about ten days after the end of the dry season at the end of October. This may indicate that peat in the MRP area is still in the dry condition at the beginning of the wet period, after suffering from the severe dry conditions of the long dry period, thus maintaining conditions where ignition may easily occur. The above conditions of the peat fire season in the MRP area are present in both in El Niño years and non-El Niño years. Fires occurs following precipitation Day Number Number of hotspots Precipitation (mm) HS Precipitation Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Peak fire period Fire season Dry Period Day Number Number of hot", "deleted_count": 15, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "figure_or_table", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "May Jun Jul Aug Sep Oct Nov Dec Peak fire period Fire season Dry Period Day Number Number of hotspots Precipitation (mm) / Ground water level (cm) Non-El Niño Years Peak Fire Period Dry Season Fire Season Day Number Number of hotspots Precipitation (mm) / Ground water level (cm) El Niño Years Jan Feb March April May June July Aug Sept Oct Nov Dec Jan Feb March April May June July Aug Sept Oct Nov Dec Peak Fire Period Dry Season Fire Season patterns with little or no rainfall during the dry period. Fires are fewer and the period of occurrence is shorter in non-El Niño years, but both El Niño and non-El Niño years show the same starting day of the fire season (DN 212, end of July) and peak fire period (DN 230, middle of August). The fire season is shorter in non-El Niño years (DN 296, end of October) than in El Niño years (DN 316, start of November). Large amounts of precipitation at the end of the dry period significantly decreases the number of fires, followed by the end of peak fire period and fire season in non-El Niño years at DN 295 and DN 306, respectively. However, the peak fire period and fire season in El Niño years lasts longer (DN 316 and DN 323, respectively); this may be a result of the still dry condition of the peat early in November due to low rainfall pattern at the beginning of rainy season in El Niño years. The composite seasonal precipitation and fire cycle in is derived from years 2002 and 2006 for the El Niño years, and years 2001, 2003, 2004 and 2005 for the non-El Niño years. Ground water levels, precipitation, and peat fire occurrence The ground water level (GWL) could be one of the key indicators determining fire activity in peatlands because the dryness of peat and the moisture content of grass, litter, and the surface peat are directly influenced by the GWL . and 11 shows that peat fires occurred when the GWL was lower than the soil surface both in El Niño years and non-El Niño years; suggesting that the low GWL accelerated conditions where fires ignite with ease. and 11 show that fire occurrences in the MRP area coincide with the GWL. The decrease in GWL in El Niño years is faster than in non-El Niño years (Fig 10). The GWL dropped below the soil surface from the middle of May and reached a minimum of -117.4 cm at the end of October in El Niño years; in non- El Niño years the minimum in GWL was -59.5, reached at the middle of October. This evidence strongly indicates that the dry conditions of the peat in El Niño years during the dry period is more severe rather than that in the non-El Niño years, thus accelerating and causing larger numbers of fires in El Niño years than in non-El Niño years. The fire records both in El Niño years and non-El Niño years and 11) showed that the fire season in the MRP area started when the GWL dropped to around -30 cm and fires become more severe when the GWL is below -40 cm. The moisture content of the top layer of the peat will decrease when the ground water level in tropical peat drops below -40 cm (from the surface level) (Wösten et al. 2008), making the peat susceptible to fires. There is an exception in 2004 where large numbers of fires start when the GWL is at around -20 cm, but in this year the GWL progressively decreased until it reached -71.4 at the middle of October (not showed in", "deleted_count": 11, "triggered_rules": ["regex_table_soup", "remove_citations", "figure_or_table", "fig_table_ref"]}
+{"cleaned_text": "There is an exception in 2004 where large numbers of fires start when the GWL is at around -20 cm, but in this year the GWL progressively decreased until it reached -71.4 at the middle of October (not showed in Day Number Number of hotspots Ground water level (cm) Hotspot GWL Fig.12 shows that the GWL reached -40 cm at the middle of August when the peak fire period has started, and indicates -40 cm as a critical value of GWL for large peat fire occurrences. also shows the changes in GWL in the MRP area. The GWL stays steady at around 5 cm above the soil surface between January and the middle of May, in the wet season; this suggests that the area could be categorized as a peat swamp forest area. The GWL decreased progressively below the soil surface during the dry period from the end of May until it reached the lowest value in early October; clearly indicating that the GWL followed the precipitation changes. However, there is a time-lag between GWL and precipitation. There is about a one and a half month time-lag between the lowest precipitation in mid August and the lowest GWL in early October. The decrease in precipitation occurs over three months to reach the lowest in mid August (from mid May), but the lowering of GWL below the soil surface takes around 4.5 months from the middle of May until it reaches its lowest value in early October. The GWL then reaches the soil surface again at the end of December after the precipitation has reached its highest value in mid December. This may suggest that the recovery of the ground water level in the MRP area occurs after having been replenished by the water supplied by the continuous precipitation. Finally, this study has established the factors that are important for peat fire occurrences in the MRP area, including: the onset of the dry period and precipitation patterns, Niño 3.4 SST Anomalies, and ground water level changes in the dry season. As peat fires in the MRP area are human caused fires , fire forecasts based on such information will assist in preventing devastating peat fire occurrences in the future in the MRP area. The analysis using daily precipitation data, hotspot data, Niño 3.4 SST Anomalies, and ground water levels clearly support the following conclusions: Under this precipitation pattern, the dryness of the peat is increased and stimulated the large number of fire occurrences. Around 2938 of fires or 87.1% of the annual number of fires in the MRP area occurred in the peak fire period, indicating that the large areas of bare peat in the MRP area now are highly susceptibility to fires, coupled with the precipitation pattern of the dry period. Anomalies and precipitation; and a high positive correlation between Niño 3.4 SST Anomalies, severity Day Number Precipitation (mm) Ground water level (cm) GWL Precipitation Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Soil surface Critical Level", "deleted_count": 13, "triggered_rules": ["trim_garbage_start", "results_discussions", "regex_table_soup", "remove_citations", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "Day Number Precipitation (mm) Ground water level (cm) GWL Precipitation Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Soil surface Critical Level of dry period and number of fie occurrences strongly indicate a coupling of precipitation, Niño 3.4 SST Anomalies, and peat fire occurrences. (ground water level below the soil surface); clearly showing that fire occurrences are closely related to ground water level changes and precipitation variability in the dry period. ACKNOWLEDGMENTS The authors very grateful to Dr. Hidenori Takahashi, Hokkaido Institute for Hydro- climate for providing the groundwater level data and the information on its measurement and to Dr. Minnie Wong, University of Maryland, Fire Information for Resource Management System (FIRMS), USA for providing the MODIS fire datasets.", "deleted_count": 4, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "chapter_titles"]}
+{"cleaned_text": "The existing inventories show rather con- sistent temporal trends. CH4 emissions stabilized in the 1990s but increased significantly thereafter, with annual av- erage growth rates (AAGRs) of 2.6 % (EDGAR) to 4.0 % (CEDSv2021-02-05) during 2000–2010 and slower AAGRs of 0.5 % (EDGAR) to 2.2 % (FAO) during 2011–2015. The estimated emissions in this study using national-level activ- ity data from the NBS and localized emission factors from the NCCC increased slowly from 50.7 to 52.3 Tg CH4 yr−1 (AAGRs: 0.8 %) during 2015–2019. This estimate showed a slightly increasing trend of 0.5 Tg CH4 yr−2 for the period of 2015–2019, which is rather consistent with the values of 0.3 ± 0.1 Tg CH4 yr−2) from the top-down approach by Sheng et al. and 0.3 Tg CH4 yr−2 from CEDSv202102-05. The coal sector appears to be a major driver of the trend in China’s CH4 emissions, and a clear increas- ing trend (1.0 ± 0.3 Tg CH4 yr−2) was found during 2012– Dataset Description and data source Reference DOI CHRED March 2021). Cai et al. EPA Emissions estimated by the EPA are developed by country- level activity data and source-specific emission factors under the IPCC guidelines. This dataset provides national emissions by sector from 1990 to 2020 at 5-year intervals. Estimates from 2005 onward are a projection. Data are avail- able at (last access: 11 March 2021). EPA NA FAO March 2021). FAO bottom-up budgets synthesize data from GAINS_ECLIPSE5a, EDGARv4.2, and the US EPA. This dataset provides regional mean emissions by sector for the pe- riod 2000–2009 and 2003–2012. Data are available at access: 11 March 2021). Saunois et al. NCCC Emissions from the NCCC are based on source-specific activ- ity data from official statistics information and local optimized emission", "deleted_count": 15, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "chapter_titles", "figure_or_table", "url_or_doi"]}
+{"cleaned_text": "Saunois et al. NCCC Emissions from the NCCC are based on source-specific activ- ity data from official statistics information and local optimized emission factors under the IPCC guidelines and stand for the official data reported to the UNFCCC. This dataset provides na- tional emissions by sector in 1994, 2005, 2010, 2012, and 2014. March 2021). NCCC NA Huang et al. Emissions estimated by Huang et al. are based on province-level activity data and literature-based emission fac- tors. This dataset provides provincial emissions by sector in Huang et al. Yue et al. Emissions estimated by Yue et al. are based on province- level activity data and source-specific emission factors under the IPCC guidelines. This dataset provides national emissions by sector from 2000 to 2005. Yue et al. (last access: March Zhang et al. Emissions estimated by Zhang et al. are based on province-level activity data and mixed emission fac- tors from the literature and the IPCC guidelines. This dataset provides national emissions by sector in 2007, 2008, 2010, and Zhang et al. 2018) Note: the complete list of data sources can be found in the References. NA denotes not available. tories increased from 37.2 ± 5.8 to 49.6 ± 4.5 Tg CH4 yr−1. The growth of CH4 emissions is attributed mostly to an in- crease in emissions from the energy sector, with AAGRs of 5.8 %–9.0 %. A considerable discrepancy was found between REAS and the other inventories in terms of the magnitude and variation, with a difference as high as This result was probably because the coal consumption trend was adjusted to a higher value in the China Statistical Year- book (CSY), according to the GOME satellite, with a higher trend (increased 50 % from 1996–2002) than the provincial statistical trend (25 %) and IEA trend (15 %) . The CH4 emissions estimated from EDGAR v5.0 were 13.2 % higher than those from the NCCC in the respective corresponding periods. These re- sults are due to the higher estimates of agriculture and energy emissions obtained by using higher emission factors in rice cultivation and coal mining in EDGAR . For coal mining, the emis- sion factor used in EDGAR is 10.0 m3 t−1, while the NCCC is a lower 8.89 m3 t−1, and for rice cultivation, EDGAR is 0.1–1.4 g m−2 d−1, while the NCCC is 0.005–0.21 g m−2 d−1 . Emissions", "deleted_count": 19, "triggered_rules": ["trim_garbage_start", "remove_citations", "url_or_doi", "fig_table_ref", "chapter_titles"]}
+{"cleaned_text": "EDGAR is 0.1–1.4 g m−2 d−1, while the NCCC is 0.005–0.21 g m−2 d−1 . Emissions derived from PKU were 12.2 % lower than those from the NCCC, which resulted from the lower emission factors in livestock and coal mining . Therefore, the provincial emission factors in for coal mining emissions are useful in the im- provement of national-data-based inventories. Specifically, agricultural activities were the main contrib- utors to national CH4 emissions before 2000 (46.1 %–60.0 % of the total emissions;, as reported by the FAO. Emissions from agriculture were rather stable and showed slight decreases during 2000–2010, with AAGRs of −0.7 %– (AAGR: 0.9 %), a reduction in livestock (AAGR: −0.6 %) in EDGAR v5.0, and a dominating increasing trend in live- stock in CEDSv2021-02-05 (AAGR: 2.3 %). Over the study period, energy source emissions showed a substan- tial increase, ranging from 11.0 ± 3.0 Tg CH4 yr−1 in 1990 to 24.0 ± 2.4 Tg CH4 yr−1 in 2010. After 2000, emissions from energy increased significantly and became the lead- ing source (AAGR: 5.9 %–9.0 %, 2000–2010). This increase was mainly driven by the rapid growth of coal production in China, with an AAGR up to 9.0 % in the 2000s, while it was only 2.6 % in the 1990s according to the official data released by the National Bureau of Statistics of China . However, China has consolidated its coal industry to concen- trate production by transforming small mines into larger and more efficient coal mines (abandoning approximately 4000 mines) since 2010 . As a result, the emissions from coal mines have stabilized or decreased since 2012, with coal production in 2016 returning to lev- els similar to those in 2010 (∼2.4 × 103 million metric tons) . Additionally, discrepancies exist in the magnitude of waste sector emissions, although the value continued to increase steadily during 2000–2010 (AAGR: 2.1 %–3.4 %). Spatial patterns of anthropogenic CH4 emissions Available gridded emissions remain limited; thus, the spatial- pattern analysis of CH4 emissions was performed on the PKU, CEDSv2017-05-18, EDGAR v5.0, GAINS, and REAS inventories,. In 2010, China’s CH4 emis- sions were dominated by emissions from the energy sec- tor (41 %–67 % of total emissions), followed by emissions from agricultural activities (21 %–42 %) and waste treat- ment (10 %–18 %). To interpret the discrepancy in emissions among different inventories, frequency distri- bution and kappa analysis were conducted at the grid cell level", "deleted_count": 14, "triggered_rules": ["trim_garbage_start", "remove_citations", "fig_table_ref", "chapter_titles"]}
+{"cleaned_text": "China’s CH4 emis- sions were dominated by emissions from the energy sec- tor (41 %–67 % of total emissions), followed by emissions from agricultural activities (21 %–42 %) and waste treat- ment (10 %–18 %). To interpret the discrepancy in emissions among different inventories, frequency distri- bution and kappa analysis were conducted at the grid cell level. The higher kappa coefficient of 0.51 indicates that EDGAR has a relatively better agreement with PKU than CEDS and GAINS (0.43 and 0.40). REAS had a weak corre- lation with PKU, with a kappa coefficient of 0.30. Remark- able regional disparities were observed among inventories. The spatial patterns had a close relationship with regional urbanization and economic activities because of the associ- ated increased energy production and livestock and waste sector emissions. High-emission areas (e.g., emitting grids >40 g CH4 m−2 yr−1) were generally located in densely pop- ulated areas (such as Beijing and Shanghai), energy pro- duction regions (such as Shanxi), and rice cultivation areas in south-central China as well as livestock-dominated re- gions in the North China Plain and Northeast China. The western regions showed low emissions (e.g., emitting grids <1 g CH4 m−2 yr−1). Intense emissions from large cities are attributable to industrial activities, transportation, and solid waste in landfills . The expansive areas of rice paddy and double-cropping systems in southern and central China are recognized as being large contributors to the corresponding high emissions . Due to massive emissions from coal min- ing, provinces such as Shanxi, Ningxia, Henan, Guizhou, Chongqing, and Sichuan were emissions hotspots, emitting grids higher than 40 g CH4 m−2 yr−1. To further character- ize the spatial distribution of emissions hotspots, the top 2 % of high-emitting grids (>33 g CH4 m−2 yr−1) based on PKU were analyzed to identify the consistency and differences among inventories–V). Regional emissions hotspots were presented in PKU and EDGAR, III), suggest1079 North China Plain and southern agricultural areas. However, such patterns showed a large spatial heterogeneity among in- ventories. There was a lack of emissions hotspots in southern China in GAINS. Specifically, PKU and EDGAR both showed a large number (>1000;, III) of high- emitting grids (emissions >33 g CH4 m−2 yr−1), accounting for 27 % and 41 % of total emissions. However, the num- bers of high-emitting grids from CEDS and GAINS were only 89 and 48, IV), accounting for 50 % and 16 % of total emissions, respectively. In addition, the number of high-emitting grids (32 % of total emissions) from REAS was less than half that from PKU and EDGAR. This indicated that CEDS and GAINS cannot properly in- terpret hotspots. Emissions hotspots in REAS were strongly biased towards Shanxi Province. The incomplete information on emission patterns may mislead or bias mitigation efforts for CH4 emission reductions. There were substantial discrepancies in the magnitude and distribution of sector-specific emissions among the inven- tories. For example, the amount of CH4 emissions from agriculture in EDGAR v5.0 was 24.2 %–45.7 % higher than those from PKU, CEDS,", "deleted_count": 12, "triggered_rules": ["trim_garbage_start", "remove_citations", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "The incomplete information on emission patterns may mislead or bias mitigation efforts for CH4 emission reductions. There were substantial discrepancies in the magnitude and distribution of sector-specific emissions among the inven- tories. For example, the amount of CH4 emissions from agriculture in EDGAR v5.0 was 24.2 %–45.7 % higher than those from PKU, CEDS, REAS, and GAINS. The spatial pat- tern of agricultural emissions in EDGAR was similar to the corresponding distribution in PKU because the distribution of rice and livestock both used the gridded data from Mon- freda et al. and , and further the emission factors of rice cultivation used in EDGAR were updated with those in PKU . Grids with high estimations (10–40 g CH4 m−2) were mainly >33 g CH4 m−2 yr−1) were based on PKU. located in the Yangtze River valley, and the east- ern part of the Beijing–Tianjin–Hebei region accounted for nearly half of the agricultural emissions (with values that were 22.7 %–39.3 % higher than the others;. The higher CH4 emissions estimated from EDGAR v5.0 in Bei- jing are due to the higher number of livestock from FAO statistics (5.5 million cattle) , which was considerably higher than the number provided by the NBS (0.3 million cattle) in 2010 . Additionally, GAINS and REAS tended to allocate more emissions from energy to the North China Plain (such as Shanxi and Shan- dong provinces; and s). More than 75 % of the en- ergy emissions from EDGAR v5.0 were allocated in high- emitting grids (>60 g CH4 m−2 yr−1;, which cov- ered less than 0.8 % of the total number of grids. This re- sult implied that EDGAR may provide lower estimates in other areas. EDGAR v4.2 originally uses 328 coal mines with locations for China from the World Coal Association as point emissions to disaggregate the amount of national emissions and is then up- dated using data from Liu et al. . However, emissions from coal mining estimated by EDGAR v5.0 still have no- table bias towards Shanxi Province. Emissions from the energy sector in CEDS have a similar pattern as EDGAR, with 72 % of energy emissions from high-emitting grids (>60 g CH4 m−2 yr−1;, w). The data source of CEDS is mainly from EDGAR v4.2 . PKU had a distinct spatial pattern for energy emissions, which was attributable to the fact that emissions from coal exploitation were located using the geolocation (latitude and longitude) of 4264 coal mines from Liu et al. and the regional emission factors . Emissions", "deleted_count": 22, "triggered_rules": ["trim_garbage_start", "remove_citations", "figure_or_table", "fig_table_ref", "chapter_titles"]}
+{"cleaned_text": "Zhang and Chen also found that emissions from waste treatment were related to the size of the economies of the regions and their urban-population scales to a certain extent. The emissions from waste treat- ment estimated by EDGAR v5.0 and CEDS were 20.7 %– (>33 g CH4 m−2 yr−1) were highly consistent with the distri- bution of provincial capitals, III). Higher emissions of waste treatment in EDGAR were from wastewater, which probably adopted a higher CH4 correction factor for wastew- ater treatment plants or a higher chemical oxygen demand . Changes in the spatial pattern of anthropogenic From 2000 to 2010, anthropogenic CH4 emissions increased considerably in China, and this increase was mainly driven by increased emissions from energy exploitation (especially in coal mining) in the northern and central regions, followed by waste treatment in the southern and eastern regions and agriculture in the northeastern region. Growth was profoundly affected by urbanization and economic develop- ment. The decrease in CH4 emissions from PKU in southern and southeastern China was attributed to a decline in rice cul- tivation and livestock feeding , and simi- lar results were also observed in REAS, q). Since the 1980s and perhaps earlier, most Chinese farmers have adopted the practice of draining paddy fields in the middle of the rice-growing season, which halts most of the methane released from the fields . Additionally, emissions from livestock in southeastern China have decreased due to the reduction in the buffalo population . These changes in livestock and rice cultivation contributed to the mitigation of CH4 emissions. In EDGAR v5.0, a de- creasing trend was found for energy emissions in the central regions and in the North China Plain, while a simi- lar trend was not found in the other inventories during 2000– Further comparison with other inventories at the subsector level To further evaluate the quality of existing inventories, in- dependent and more detailed subsector datasets were col- lected to improve our understanding of the uncertainty in total amounts and spatial patterns among different invento- ries. Based on the data availability, three subsectors of major emissions sources are displayed, i.e., rice cultivation, live- stock, and coal mining. These three subsectors ac- counted for 70 %–85 % of the total emissions in China in Zhang et al. (for rice cultivation), Lin et al. (for livestock), and Sheng et al. (for coal mining). Zhang et al. compiled the NCCC inventory of rice by using a semiempirical model (CH4MOD). The CH4MOD model is a semiempirical model simulating CH4 production and emissions at daily steps. Inputs into the CH4MOD in- clude daily air temperature, percentage of sand in the paddy soil, rice grain yield, type and amount of organic matter ap- plied, and water management used for rice irrigation . Lin et al. estimated emissions from livestock based on county-level statistical data and region- specific emission factors. Sheng et al. estimated emis- sions from coal mining based on more than 10 000 operating coal mines reported by the Chinese State Administration of Coal Mine Safety (SACMS). For the rice cultivation subsector, the amount from PKU was 7.3 Tg CH4 yr−1, which is comparable to the value of", "deleted_count": 22, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "For the rice cultivation subsector, the amount from PKU was 7.3 Tg CH4 yr−1, which is comparable to the value of . However, EDGAR v5.0 tended to provide higher estimates, with a value of 13.9 Tg CH4 yr−1. This difference could be seen from the larger contribution of high- emitting grids (>10 g CH4 m−2 yr−1; in EDGAR v5.0 (6.7 Tg CH4 yr−1 or 48.7 % of total emissions), while the values in the other inventories ranged from 17 %–34 % (1.2–2.8 Tg CH4 yr−1). The higher estimates from EDGAR v5.0 were primarily located in the Yangtze River (e.g., Hu- nan and Jiangxi). According to the study of Cheewaphong- phan et al. , EDGAR uses a higher proportion of con- tinuous floods, leading to a higher emission factor than that produced in intermittent-flood conditions. In contrast, REAS tended to provide a lower estimate (6.7 Tg), especially in the Yangtze River and Northeast China. This dis- crepancy is partly because emissions from rice cultivation in REAS2.1 are from 2008, while others are from 2010. Moreover, emissions in 2008 from REAS2.1 are extrapolated from REAS1.1 in 2000 , which may not have captured the emission changes caused by the in- creases in rice cultivation area. As reported by the NBS, the areas of rice cultivation have increased by 5900 km2 in An- hui, Hunan, Jiangsu, and Jiangxi provinces and 12 514 km2 in Northeast China (i.e., Heilongjiang, Jilin, and Liaoning provinces) from 2000 to 2008 . Overall, PKU and Zhang et al. were closer to the NCCC estimates with provincial activity data and emission factors, and Zhang et al. used the detailed regional water management data and provincial organic-matter application rates, which are also used in the NCCC as part of the national inventory reported to the UNFCCC . For the livestock subsector, including enteric fermenta- tion and manure management , the amount of emissions ranged from 9.2 (REAS) to 11.4 (PKU) Tg CH4 yr−1. The bottom-up inventory based on detailed county-level activity data estimated the 2010 emissions to be 12.4 Tg CH4 yr−1 . A consistent spatial pattern from livestock sources was found among inventories. However, REAS had lower emissions in the North China Plain (such as in Shandong and Henan), Tibetan Plateau, and Northeast China, which missed large numbers of high- emitting grids compared to other inventories. In ad- dition, higher emissions in the northeastern part of Beijing were reported by EDGAR v5.0, with grids emitting more than 20 g CH4 m−2 yr−1. These results were caused by the high estimated number of livestock induced by us- ing machine learning methods in the spatial-proxy approach . For the coal mining subsector, the amounts from PKU and EDGAR v5.0 were 17.3 and 19.0 Tg CH4 yr−1 in 2010, respectively, which were comparable", "deleted_count": 19, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "These results were caused by the high estimated number of livestock induced by us- ing machine learning methods in the spatial-proxy approach . For the coal mining subsector, the amounts from PKU and EDGAR v5.0 were 17.3 and 19.0 Tg CH4 yr−1 in 2010, respectively, which were comparable to the values of 16.7 Tg CH4 yr−1 in 2011 from Sheng et al. and (>60 g CH4 m−2;, which covered less than 0.5 % of the total grid number. This result may be due to the limited number of coal mines (∼4000) used in EDGAR . The allocation of national total emissions to limited mine locations leads to incorrect spa- tial patterns and artificial emissions hotspots . These spatial errors would cause bias in the analy- sis of trends and source attribution in inversions and mislead mitigation strategies in coal exploitation . Additionally, emissions from coal mining in PKU show a rel- atively consistent pattern with that in Sheng et al. ; however, PKU tended to have similar proportions among emitting grids. This result is because the locations of coal mines used in PKU have a coarser spatial resolution than 0.1◦. Estimates and uncertainties in total and sectoral emissions Considering the comparability of different inventories (i.e., with the same year and completeness of all the same subsectors), emissions were collected for five datasets (i.e., PKU, EDGAR v5.0, CEDSv2021-02-05, the NCCC, and Zhang et al., 2016). In 2010, the total emissions in China were estimated to be 49.6 ± 4.5 Tg CH4 yr−1 (mean ± standard deviation (SD), hereafter the same) among inventories. The mean emissions from agricul- tural activities were 18.5 ± 3.1 Tg CH4 yr−1, of which live- stock contributed 11.0 Tg CH4 yr−1, and rice cultivation contributed 7.8 Tg CH4 yr−1. Among all the agricultural activities, rice cultivation showed a relatively large range, from 5.3 Tg CH4 yr−1 in CEDSv2021-02-05 to GAINS (m–p) from 2000 to 2010, and REAS (q–t) from 2000 to 2008.", "deleted_count": 20, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "Furthermore, the uncer- tainty in emission factors related to rice practices is high in China . In addition, energy activ- ities play an important role in national emissions, with a mean value equal to 24.0 Tg CH4 yr−1 and an SD of EDGAR revised emission factors for coal mining with lo- cal data from PKU and weighted the emissions by coal min- ing activity per province . Emissions from waste treatment were 7.4 ± 2.7 Tg CH4 yr−1, which contributed a relatively small share of the national total emissions (14 %). However, a notable discrepancy ex- ists in emissions from waste treatment, which can be clas- sified into two groups. Estimates from PKU, the NCCC, GAINS, and Zhang et al. were 4.3– These differences were mainly induced by the different esti- mates for wastewater. The uncertainty associated with CH4 emissions from wastewater mainly results from the methane correction factor and the amount of chemical oxy- gen demand . The high uncertainty in waste emissions estimates is generally due to many small point sources and large site-specific variations in emission factors related to different climatic factors and man- agement practices (Höglund-Isaksson, 2012). The detailed regional activity data and localized emission factors used in PKU, the NCCC, and Zhang et al. should be taken CH4 emissions by subsector (b) among different inventories in 2010. into account for the variation in local conditions– Data availability To increase the understanding of China’s anthropogenic CH4 emissions and help to reduce its uncertainties, we made all the data used in this study publicly available. The free avail- ability of this dataset does not mean free publication of it. Any use of this dataset should cite the relevant original data sources. This dataset includes one Excel file for time series of annual total and sectoral CH4 emissions from 1990–2019 TIFF files for the total and sectoral gridded emissions in ## DISCUSSION As one of the major rice cultivators and coal producers, China is a large emitter of CH4. Quantifying China’s contri- bution to the global CH4 budget is important and can provide helpful support for policy-making related to mitigating CH4 emissions. We collected and analyzed the currently available datasets to present the amount and spatiotemporal patterns of and the uncertainty in China’s anthropogenic CH4 emissions. Our works shed light on the sources of differences and uncer- tainties among inventories. Temporally, emissions stabilized in the 1990s but increased significantly thereafter, with AAGRs of 2.6", "deleted_count": 17, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles", "fig_table_ref", "figure_or_table", "url_or_doi"]}
+{"cleaned_text": "We collected and analyzed the currently available datasets to present the amount and spatiotemporal patterns of and the uncertainty in China’s anthropogenic CH4 emissions. Our works shed light on the sources of differences and uncer- tainties among inventories. Temporally, emissions stabilized in the 1990s but increased significantly thereafter, with AAGRs of 2.6 %–4.0 % during 2000–2010 and slower AAGRs of 0.5 %–2.2 % during 2011–2015. The growth of CH4 emis- sions is profoundly affected by changes in emissions from the energy sector, with AAGRs of 5.8 %–9.0 %. Since 2015, a relatively stable trend was estimated by CEDSv20201-0205 and our results, with AAGRs of 0.3 % and 0.8 %, re- spectively. Spatially, the regional patterns of CH4 emissions were largely associated with economic development and ur- banization. Emissions hotspots in PKU and EDGAR were mostly located in the North China Plain and southern China, which are densely populated areas, energy production re- gions, and agriculture-dominant regions. Such patterns were not presented in GAINS and REAS, with a lack of emissions hotspots in southern China and biased allocation of the ma- jority of emissions towards Shanxi Province. The incomplete information on emission patterns may mislead or bias mitiga- tion efforts for CH4 emission reductions. During 2000–2010, anthropogenic CH4 emissions from China differed widely among inventories, of which the energy sector contributed the most to the total emissions, followed by agricultural ac- tivities and waste treatment. Large discrepancies mainly re- sulted from region-specific activity data and emission fac- tors for coal mining, emission factors for rice cultivation, and emission factors for wastewater. We suggest that data devel- opers should make the detailed activity data for sectors and subsectors publicly available; furthermore, they should use the local optimized emission factors instead of the default emission factors to reduce the level of uncertainty. Supplement. The supplement related to this article is available online at: Author contributions. XL and WZ conceived and designed the study. XL collected and analyzed the datasets. XL led the paper writing with contributions from all coauthors. Competing interests. The authors declare that they have no conflict of interest. Special issue statement. This article is part of the special issue “Surface emissions for atmospheric chemistry and air quality mod- elling”. It is not associated with a conference. Acknowledgements. We thank Steve Smith for kindly providing the latest data of CEDSv2021-02-05 and Xiaoli Zhou for help in data collection. Financial support. This research has been supported by the Min- istry of Science and Technology of the People’s Republic of China (grant no. 2017YFB0504000) and the National Natural Science Foundation of China (grant no. 41975118). Review statement. This paper was edited by Nellie Elguindi and reviewed by two anonymous referees.", "deleted_count": 2, "triggered_rules": ["trim_garbage_start", "url_or_doi"]}
+{"cleaned_text": "The total bio- mass was highest at St. 3 and lowest at St. 1. Generally, there were decreasing trends in biomass during the study period. An unusually high value was recorded at St. 2 in June due to the contribution of Ulva sp. and Codium sp. Ulva sp. and Pachymeniopsis sp. showed cov- erage values of 22.5-95% and 10-27.5%, respectively. Undaria pinnatipida and Sargassum sp. appeared with coverage of 5% to 46.7% during winter season and species of Gelidium, Chondrus, Lomentaria, Hizikia (now considered as a Sargassum sp.), and Gigartina were iden- tified with 5-20% of coverage. The concentration of total dissolved inorganic nitrogen (DIN; NO3 +) and phosphate varied among sampling sites. The concentrations of DIN were May. The tissue nitrogen content of seaweeds was highest at St. 1 (average = 4.75%), where DIN was highest. Those of St. 2 and St. 3 averaged 3.13% and 2.65%, respectively . The tissue nitrogen contents of Porphyra were up to 5.7% (5.4 ± 0.26%) of dry wt and showed highest value among seaweeds tested. Sargassum spp., Enteromorpha spp., and Undaria spp. showed 4.7%, 4.6%, and 4.2% of tissue nitrogen contents, respectively, in the winter season. The nitrogen contents of green, brown and red algae were average of 3.18%, 2.91% and 3.42%, respectively. In brown and red algae, the tissue nitrogen contents decreased during the period of study. However, the green algae, most of them were Ulva spp., showed large fluctuations. There was a positive correlation between the tissue nitrogen content and seawater DIN. The correlation analysis showed the hyperbolic function seemed a better fit with higher correlation coefficient than those of the linear function; therefore, the rates of nitrogen accumula- tion in seaweed tissue seemed to reach maximum at higher DIN in seawater at over 600 µg·l–1. This pattern was also found in Ulva spp.. Porphyra and Ulva showed four to six times higher rates of short-term NH4 + uptake than other red algal species tested in this study. Based on the values of NH4 + uptake rates and growth, production and har- vest information, the efficiency of NH4 + removal of Porphyra was estimated. The model predicted that more than 17% of ammonium would be removed from the continuous supply of 100 µmol · l–1 NH4 + at 100 l · sec–1 flow rate with conditions described in the precious sec- tion. The algal coverage data showed that the green alga Ulva sp. could be regarded as a green tide, especially in June. Recently, the occurrence of green tides began to spread along the south coast of the Korean peninsula (A) and phosphate (B) in Tongyeong-goeje area. tion . Fundamentally, the growth of marine algae in a given ecosystem should be proportional to the rate of supply of nutrients, temperature, light, and water motion . Therefore, the control of eutrophication should be accomplished by restricting the loading of key nutrients to the ecosystem. Deliberate nutrient loading reductions indeed have led to dramatic improvements in several areas in Japan . The total nutrient load from aquaculture in an open system may be very small in comparison with other", "deleted_count": 14, "triggered_rules": ["trim_garbage_start", "results_discussions", "remove_citations", "figure_or_table", "fig_table_ref"]}
+{"cleaned_text": "Therefore, the control of eutrophication should be accomplished by restricting the loading of key nutrients to the ecosystem. Deliberate nutrient loading reductions indeed have led to dramatic improvements in several areas in Japan . The total nutrient load from aquaculture in an open system may be very small in comparison with other nutrient sources; however, its point source effects may have adverse effects on coastal ecosystems that can be significant . Seaweed cultivation can act as a nutrient scrubber system; integrated aquaculture of seaweeds with fish (or other forms of fed aquaculture) maybe one of the most reasonable means for bioremediating coastal waters . The tissue nitrogen contents of Porphyra and Ulva species showed ranges of values similar to those report- ed in other studies. The nitrogen contents of Porphyra were over 5% and that of Ulva was above 4%. For those species with cover greater than 10%, red algae had high- er average tissue N than brown algae (though the differ- ence was not significant). Red algae may have higher potential values due to their photosynthetic pigments (N-containing phycobiliproteins) and protein levels. Tissue nitrogen contents increased with increased con- centration of dissolved nitrogen in seawater. The internal tissue nitrogen content is thought to be the complex results of the interactions among the external environment, uptake kinetics, assimilation, growth and reproductive processes . The hyper- bolic correlation between tissue nitrogen and DIN in sea- water could be speculated as the result of hyperbolic + uptake as found in Ulva lactuca . Tissue nitrogen content of Gracilaria was also correlated with nutrient availability (Jones et al. Porphyra tenera, which has been cultivated from the beginning of Porphyra cultivation in Korea, showed the highest rate of NH4 + uptake (3.4 µmol · g dw–1· min–1 at . Although the present experiments were not designed to analyze the rate of NH4 + uptake according to the per surface area basis nor the ratio of surface area to volume, the values were similar to those reports of Porphyra and Ulva . Several taxa such as Ulva, Gracilaria, Laminaria, and Porphyra have been investigated from different research groups . The values of uptake rates in the present study were in the same range of other studies. Wallentinus found Enteromorpha sp. and Cladophora sp. showed about 2 µmol · g dw–1· min–1 at 60 µM NH4 +. Taylor et al. reported Ulva sp. exhibited about 2.0 µmol ·g dw–1· min–1 and Porphyra sp. was about 4 µmol·g dw–1· min–1 at 100 µM NH4 +. Other studies on the rate of NH4 + uptake showed different val- ues. Subandar et al. reported the rates of NH4 + uptake ranged between 0.1 and 0.4 µmol · g dw–1· min–1 in Laminaria saccharina using salmon farm effluent of 6.225.4 µmol NH4 +· l–1 in continuous flow", "deleted_count": 18, "triggered_rules": ["trim_garbage_start", "remove_citations", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "M NH4 +. Other studies on the rate of NH4 + uptake showed different val- ues. Subandar et al. reported the rates of NH4 + uptake ranged between 0.1 and 0.4 µmol · g dw–1· min–1 in Laminaria saccharina using salmon farm effluent of 6.225.4 µmol NH4 +· l–1 in continuous flow culture. An estimated 17% nitrogen removal efficiency could be easily achieved, because we applied a conservative uptake rate of 2.5 µmol · g dw–1· min–1 instead of 3.4 µmol · g dw–1· min–1 with conventional culture and har- vesting methodologies. This conservative estimate is about half of the removal potential compared with the estimates of Chopin et al. . If higher uptake rates and stocking densities were applied, the efficiency could increase up to 50% in our model. However, the self- shading effects and circulation factors (such as flow and mixing rate) should be considered with increasing stock- ing densities . Previous studies showed the range of 10 to 90% of nitrogen removal efficiency in polyculture systems. Ulva lactuca removed 40-90% depending on NH4 + supply and up to 85% in study of Vadermuelen and Gordin . The efficiency of Ulva rigida in Sparus aurata waste water treatment was 76% in the daily input of 150 mmol NH4 +· m–2· day–1 with 2.7g fw · l–1 . Troell et al. found slightly lower removal (5%) of dissolved inorganic nitrogen in a cage culture experiment with Gracilaria, but found much higher seasonal rates of NH4 + removal with 50% in winter and 90-95% in spring in a tank system . Laminaria saccharina removed 26-40% of incoming dissolved nitrogen from salmon farm efflu- ent . The ultimate goal of this study is to develop a strategy for the sustainability of aquaculture in the coastal ecosystem based on the sound ecological and economic principles . There are many conflicts among the users of coastal waters, and aquaculture should be conducted under a plan of integrated coastal zone management with a balance between ‘extractive’ and ‘fed’ aquaculture . The results of this preliminary study seem very promising, because the biology of the proposed species are well studied and the economic value of some are also high; nevertheless, more complete information should be obtained to expand integrated aquaculture systems . Based on this study, a site-specific year-round system will be established depending on culture type, species, local hydrodynamic and other environmental factors. Moreover, monitoring and regulation of aquaculture systems need to be based upon carrying capacity models of each area, if there will be sustainable aquaculture along the Korean coastal zone (Fernandes et al. 2000,", "deleted_count": 12, "triggered_rules": ["remove_citations"]}
+{"cleaned_text": "Wong, Paul D. Capel, Lisa H. Nowell Sacramento, California University of Minnesota (present affiliation: University of Toronto) U.S. Geological Survey U.S. DEPARTMENT OF THE INTERIOR BRUCE BABBITT, Secretary U.S. GEOLOGICAL SURVEY Charles G. Groat, Director The use of firm, trade, and brand names in this report is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey For additional information write to: Copies of this report can be purchased U.S. Geological Survey Branch of Information Services Denver, CO 80225-0286 from: District Chief U.S. Geological Survey Water Resources Division Placer Hall Sacramento, California 95819-6129 Robert M. Hirsch Associate Director for Water FOREWORD The U.S. Geological Survey (USGS) is committed to serve the Nation with accurate and timely scientific infor- mation that helps enhance and protect the overall quality of life, and facilitates effective management of water, biologi- cal, energy, and mineral resources. ( Information on the quality of the Nation’s water resources is of critical interest to the USGS because it is so integrally linked to the long-term availability of water that is clean and safe for drinking and recreation and that is suitable for industry, irrigation, and habitat for fish and wildlife. Esca- lating population growth and increasing demands for the multiple water uses make water availability, now measured in terms of quantity and quality, even more critical to the long-term sustainability of our communities and ecosys- tems. The USGS implemented the National Water-Quality Assessment (NAWQA) Program to support national, regional, and local information needs and decisions related to water-quality management and policy. ( by and coordinated with ongoing efforts of other Federal, State, and local agencies, the NAWQA Program is designed to answer: What is the condition of our Nation’s streams and ground water? How are the conditions changing over time? How do natural fea- tures and human activities affect the quality of streams and ground water, and where are those effects most pro- nounced? By combining information on water chemistry, physical characteristics, stream habitat, and aquatic life, the NAWQA Program aims to provide science-based insights for current and emerging water issues and priorities. NAWQA results can contribute to informed decisions that result in practical and effective water-resource management and strategies that protect and restore water quality. Since 1991, the NAWQA Program has implemented interdisciplinary assessments in more than 50 of the Nation’s most important river basins and aquifers, referred to as Study Units. ( Collectively, these Study Units account for more than 60 percent of the overall water use and popu- lation served by public water supply, and are representative of the Nation’s major hydrologic landscapes, priority eco- logical resources, and agricultural, urban, and natural sources of contamination. Each assessment is guided by a nationally consistent study design and methods of sampling and analysis. The assessments thereby build local knowledge about water- quality issues and trends in a particular stream or aquifer while providing an understanding of how and why water quality varies regionally and nationally. The consistent, multi-scale approach helps to determine if certain types of water-quality issues are isolated or pervasive, and allows direct comparisons of how human activities and natural pro- cesses affect water quality and ecological health in the Nation’s diverse geographic and environmental settings. Comprehensive assessments on pesticides, nutrients, vola- tile organic compounds, trace metals, and aquatic ecology are developed at the national scale through comparative analysis of the Study-Unit findings. ( The USGS places high value on the communication and dissemination of credible, timely, and relevant science so that the most recent and available knowledge about water resources can be applied in management and policy deci- sions. We hope this NAWQA publication will provide you the needed insights and information to meet your needs, and thereby foster increased awareness and involvement in the protection and restoration of our Nation’s waters. The NAWQA Program recognizes that a national assessment by a single program cannot address all water- resource issues of interest. External coordination at all lev- els is critical for a fully integrated understanding of water- sheds and for cost-effective management, regulation, and conservation of our Nation’s water resources. The Program, therefore, depends extensively on the", "deleted_count": 7, "triggered_rules": ["trim_garbage_start", "chapter_titles", "url_or_doi"]}
+{"cleaned_text": "The NAWQA Program recognizes that a national assessment by a single program cannot address all water- resource issues of interest. External coordination at all lev- els is critical for a fully integrated understanding of water- sheds and for cost-effective management, regulation, and conservation of our Nation’s water resources. The Program, therefore, depends extensively on the advice, cooperation, and information from other Federal, State, interstate, Tribal, and local agencies, non-government organizations, industry, academia, and other stakeholder groups. The assistance and suggestions of all are greatly appreciated. Contents V CONTENTS VI Contents FIGURES TABLES Contents VII Target analytes measured in bed sediment or aquatic biota by the National Water-Quality Assessment Mean percent composition of o , p ′ - and p , p ′ -DDT and their primary metabolites in technical ANOVA of concentration distribution ranks of dieldrin, total chlordane, total DDT, and total PCBs among land-use classifications for sediment, fish, and bivalves, including ANOVA of concentration distribution ranks of dieldrin, total chlordane, total DDT, and total PCBs among land-use/basin-size classifications for sediment, fish, and bivalves, including Comparison of organochlorine concentrations in whole fish with guidelines for protection of CONVERSION FACTORS and ABBREVIATIONS and ACRONYMS Conversion Factors Temperature is given in degrees Celsius ( ° C), which can be converted to degrees Fahrenheit ( ° F) by the following equation: ° ° Multiply By To obtain inch (in.) VIII Contents Abbreviations and Acronyms (Additional information noted in parentheses) µ g/g, microgram per gram µ g/kg, microgram per kilogram cm, centimeter g/d, gram per day kg, kilogram kg/d, kilogram per day km , square kilometer mm, millimeter AET-H, apparent effects threshold–high AET-L, apparent effects threshold–low ANOVA, analysis of variance EPA, (U.S.) Environmental Protection Agency ER-L, effects range–low ER-M, effects range–median FDA, (U.S.) Food and Drug Administration FWS, (U.S.) Fish and Wildlife Service GC, gas chromatography GC/ECD, gas chromatography with electron capture detection GIRAS, Geographic Information Retrieval and Analysis System GPC, gas permeation chromatography HCB, hexachlorobenzene HOC, hydrophobic organic compounds ISQG, (Canadian) interim sediment-quality guideline MCT, multiple comparison test NAS/NAE, National Academy of Sciences and National Academy of Engineering NATT, National Target and Taxa NAWQA, National Water-Quality Assessment (Program) NCBP, National Contaminant Biomonitoring Program NOAA, National Oceanic and Atmospheric Administration NSCRF, National Study of Chemical Residues in Fish NS&T, National Status and Trends (Program) NWQL, National Water Quality Laboratory NYSDEC, New York State Department of Environmental Conservation OC, organochlorine compound PCA, pentachloranisole PCB, polychlorinated biphenyl PEL, probable effect level PMN, Pesticide Monitoring Network SQC, sediment quality criterion SQAL, sediment quality advisory level TEL, threshold effect level TEQ, dioxin toxic equivalent USGS, U.S. Geological Survey", "deleted_count": 10, "triggered_rules": ["trim_garbage_start", "chapter_titles"]}
+{"cleaned_text": "When conducting observations in the arboretum for the growing season from 2014 to 2019 (April – October), we analyzed individual phenological variability of the studied objects in dynamics. The sensitivity of plants to the weather conditions of the region varies throughout the seasonal development. The diagram shows an estimate of the weather data of the mean daily air temperature and precipitation for the months of the growing season (2014 – 2019) in the study area. ° С; Σ R – precipitation, mm Statistical processing of the data of the main meteorological parameters for the six years of the growing season (2014 – 2019) was performed in accordance with generally accepted methods. We analyzed the sum of the mean daily air temperatures above 10 °C for the period from 2014 to 2019. The highest sum of active temperatures (SAT) was recorded in 2015 and amounted to almost 2,182 °C; the lowest was recorded in (383.3 mm), the minimum was observed in 2017 (98.8 mm) . Earlier, the authors analyzed the sum of active air temperatures (above 10°C) over the past decades in the entire Trans-Baikal Territory. According to these works, the °C are usually observed from mid-May to the first decade of September, and on average their number is 110, with the maximum values in the south-east of the region (more than 130 days) and the minimum in the north (less than 90 days)…”. Our research objects grow in the central part of the Trans-Baikal Territory and manage to complete the full cycle of their development in an average of 110 days. An increase in air temperature in the spring period boosts vegetation. An increase in temperature (within the normal range) accelerates growth and decreases phenological intervals, while a decrease (within the normal range), on the contrary, slows down development and increases the phenological intervals . At the same time, the temperature sufficient for vegetation of any species varies from year to year, depending on other conditions, such as, for example, the winter duration and weather or the endogenous dormancy of the plant . Let us consider in more detail the dynamics of seasonal changes in introduced plants by phenophases. The initial phase of the growing season – “bud swelling” – changed over the years. For individuals of Corylus heterophylla, this phase began somewhat earlier in The highest air temperature for that April was 6.3 °C, and the total precipitation in April was 7.6 mm, which exceeds the indicators of 2015 and 2018–2019. The temperature in April of 2017 and 2018 was slightly less – 4.4 and 3.3 °C, respectively, and there was less precipitation. Our Ekaterina A. Banshchikova DYNAMICS OF SEASONAL CHANGES IN INTRODUCED ... Statistical indicator Years of observation Σ X 11.0/46.", "deleted_count": 11, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "The temperature in April of 2017 and 2018 was slightly less – 4.4 and 3.3 °C, respectively, and there was less precipitation. Our Ekaterina A. Banshchikova DYNAMICS OF SEASONAL CHANGES IN INTRODUCED ... Statistical indicator Years of observation Σ X 11.0/46.6 min–max ±σ V, % Note. Σ – total value; X – arithmetic mean; min-max – minimum and maximum values; ±σ – standard deviation; V – coefficient of variation, %. °C; Σ R – sum of precipitation for the period of active temperatures, mm observations confirm the opinion that warm and dry weather accelerates the development of Corylus heterophylla. In 2015–2016 and 2019, these individuals entered the growing season later, at a mean monthly air temperatures of 2.7, 1.2, and 2.0 °C, respectively. For the species Armeniaca sibirica, the earliest onset of the growing season was recorded in 2017–2018 (in mid-April), which is one decade earlier than in 2014. In 2019, the growing season began in the third decade of April, as opposed to 2015–2016 (I decade of May). For individuals of Euonymus maackii, the onset of this phase remained unchanged from year to year (vegetation begins in the third decade of April and lasts for one decade). The accompanying phases of “leaf bud budding” and “first leaf budding” occurred either systematically or in parallel to each other for one week. For example, for individuals of Corylus heterophylla, we registered a simultaneous swelling and rapid deployment of the first leaves during the third decade of May 2015, despite the large amount of precipitation and cool weather, compared to other years. In all other years, these two phases occurred one week earlier, successively replacing each other (I–II decade of May). Consequently, cold spring temperatures and humid air accelerate developmental stages of plants. In individuals of Armeniaca sibirica, we observed a similar reaction to the weather in 2015–2016 and 2019, including the late opening of leaf buds and their deployment (from late May to mid-June) compared to 2017–2018 (II–III decade of May), with the gradual passage of two phases. The phenospectrum of Euonymus maackii samples showed simultaneous swelling of leaf buds, and their flowering was stable from 2014 to 2019 in the third decade of April. However, in 2019, we registered a late consistent opening of the buds (from the 3rd decade of April to the 1st decade of May). In general, the initial phenological phases of vegetation in the studied species fall on the period from mid-April to the end of May. At this time, there are frequent ground and atmospheric frosts with changes in air temperatures. Based on the data of the graph of meteorological parameters (by month) and the phenospectrum, individuals of Corylus heterophylla and Armeniaca sibirica were the most sensitive in spring to temperature extremes, in contrast to Euonymus maackii, which were stable. The duration of the phenophases was different over the years. In parallel, the “onset of flowering” was recorded in the spring-summer period. It is known that Armeniaca sibirica and Corylus heterophylla according to the characteristics of phenological development is of the early spring type (generative buds bloom earlier than vegetative ones). The duration of the flowering phase varied: it was within 18–22 days for individuals of Armeniaca sibirica; 15–25 days for Euonymus maackii; and 10–15 days for Corylus heterophylla. The subsequent phase of “fruit formation” follows flowering and occurs in spring or in summer. In individuals of Armeniaca sibirica, it was registered in the period from the end of May , as well as from the first decade of June . In individuals of Corylus heterophylla, it was registered in the 2", "deleted_count": 4, "triggered_rules": ["trim_garbage_start", "remove_citations", "figure_or_table"]}
+{"cleaned_text": "The subsequent phase of “fruit formation” follows flowering and occurs in spring or in summer. In individuals of Armeniaca sibirica, it was registered in the period from the end of May , as well as from the first decade of June . In individuals of Corylus heterophylla, it was registered in the 2nd decade of May (with the exception of 2015–2017, when no fruiting was observed). In individuals of Euonymus maackii, it was registered at the end of June and at the beginning of July . No fruiting in Corylus heterophylla can probably be associated with low temperatures (frosts in mid-May) or with a wet period at the time of flowering. It was found that with the highest amount of precipitation and relative air humidity, despite the mean daily air temperature above +10 °C, in individuals of this species, flowering was delayed until a more favorable time. Anemophilic pollen was released from anthers, which cracked under the influence of dry air. In May 2015, when the flowering continued, the highest amount of precipitation was recorded – 34.0 mm. In 2016–2017, the phase came earlier (in April); the amount of precipitation was 16.0 and 17.8 mm, respectively, which exceeded the indicators of this month in other years. In this regard, most likely in these years, the fruits were not formed. However, it is difficult to say unequivocally, since in May 2019, there was also a large amount of precipitation (35.1 mm), with low mean monthly air temperatures (9.3 °C); fruiting in individuals was noted. This is followed by the “ripening of fruits and seeds” phase. In Armeniaca sibirica, maturation lasted from 80 to 100 days; in Corylus heterophylla, it lasted up to 110 days; and in Euonymus maackii, it lasted 60 to 100 days. However, some fruits in Euonymus maackii did not fall over the winter and were recorded on the branches of the plants the following spring. In 2014 and 2015 fruit maturation was faster in all the studied objects; 2017 and 2018 were the years, in which this phase lasted longer. One of the final stages of the growing season is the “autumn leaf color” phase. In 2014, 2016, and 2017, in all species it began earlier (at the end of August), and later leaf coloring (at the beginning of September) was noted in 2015, 2018, and 2019. In general, by the end of September, the full color of the leaves of all the studied plants was recorded over the years, with a mean monthly air temperature in the range of 8.0–11.3 °C (below-zero values were noted only in 2014, in the third decade of September). The influence of short daylight hours and low above-zero temperatures in autumn contributes to the intensity and variety of the color palette of the leaves (from bright red to purple shades). However, early frosts weaken the bright red color of the foliage. Rainy or cloudy days reduce the color intensity of the autumn leaves, and cool, dry, and sunny weather contributes to the autumn color scheme. The final phase of the growing season is “leaf litter”. The East Asian forest-steppe species complete the growing season in late September – early October. The Manchu-Daurian preboreal species turned out to be the most variable over the years. The years of 2014, 2016, and 2017 were characterized by below-zero mean monthly temperatures in October (–2.4 °C; –3.9 °C; –0.7 °С, respectively). It was during these years that the individuals showed early leaf fall and the end of the growing season. The dynamics of seasonal changes in introduced plants under conditions of Eastern Transbaikalia indicates that the East Asian forest-steppe and ManchurianDaurian preboreal species exhibit phenological plasticity in response to sudden changes in air temperatures and insufficient precipitation in the region (Armeniaca sibirica, Corylus heterophylla). All objects under study complete a full cycle of phenorhyth", "deleted_count": 5, "triggered_rules": ["results_discussions", "remove_citations"]}
+{"cleaned_text": "Corylus heterophylla). All objects under study complete a full cycle of phenorhythms – from lignification of shoots and to leaf fall. The observed small deviations in seasonal development (duration of phenophases) over the years are associated with the weather conditions in the region. At the beginning of the growing season, atmospheric frosts with changes in air temperatures are rather common. Corylus heterophylla and Armeniaca sibirica are most sensitive to temperature extremes in spring, in contrast to Euonymus maackii, which were stable. Warm and dry weather contributes to the early start of Ekaterina A. Banshchikova DYNAMICS OF SEASONAL CHANGES IN INTRODUCED ... the growing season (Corylus heterophylla). Low above- zero air temperatures in spring and a large amount of precipitation encourage plants to pass the development stages faster (phenophases) than in dry and warm weather (Corylus heterophylla, Armeniaca sibirica). At the same time, low temperatures (frosts) in spring with a wet period at the time of flowering negatively affect the further fruit formation in Corylus heterophylla individuals. Based on the hereditary and physiological characteristics, it was established that introduced plants are adapted to the conditions of Eastern Transbaikalia and are cold- and drought-resistant. According to the phenological development, the individuals have the following characteristics: early flowering (Armeniaca sibirica, Corylus heterophylla) and longer retention of foliage on the branches in the autumn (Corylus heterophylla), as well as retention of fruits in winter (Euonymus maackii, Corylus heterophylla). The influence of short daylight hours and low above-zero temperatures in autumn contributes to the intensity and variety of the color palette of the leaves (from bright red to purple shades). Rainy or cloudy days reduce the intensity of the color of the autumn leaves, and cool, dry, and sunny weather contributes to the autumn multi-color. Below-zero monthly mean temperatures in October were observed for 2014, 2016–2017 (–2.4 °C; –3.9 °C and –0.7 °C, respectively). It was during these years that the individuals showed early leaf fall and the end of the growing season. Armeniaca sibirica and Corylus heterophylla are variable in terms of the onset of the main phenophases; individuals of the species Euonymus maackii are characterized by minimal individual variability. The longest growing seasons on the phenological spectrum were demonstrated in 2014 and 2018–2019 (in individuals of Corylus heterophylla, it was 190 days), which contributes to the accumulation of greater phytomass. The shortest growing season was in", "deleted_count": 2, "triggered_rules": ["trim_garbage_start", "chapter_titles"]}
+{"cleaned_text": "There is overall consistency in literature about negative effects of fetal and postnatal exposure to parental tobacco smoking on several outcomes: preterm birth, fetal growth restriction, low birth weight, sudden infant death syndrome, neurodevelopmental and behav- ioral problems, obesity, hypertension, type 2 diabetes, impaired lung function, asthma and wheezing. While maternal smoking during pregnancy plays a major role on adverse postnatal outcomes, it may also cumulate negatively with smoking during lactation and with sec- ond-hand smoking exposure. This review aimed to discuss the current evidence regarding the short and long-term effects of parental tobacco smoking during a critical period of life (preg- nancy and lactation). It should be pointed out that it was not strictly designed a priori as a systematic review, and that the PRISMA Statement was not fully applied (including PICOS). Although this is a weak- ness, a descriptive approach might benefit the reader Parental tobacco smoking Health outcomes Short-term Long-term During pregnancy Maternal smoking Preterm birthb Fetal growth restrictionb Low birth weightb Altered brain structure and function in newbornsb Lower fetal heart rate variabilityb Reduced alveolarizationb Increased risk of overweight and obesitya,b Higher blood pressurea,b Increased risk of wheezing, asthma, airway hyperrespon- siveness, impaired lung function, bronchitisb Paternal/environmental smoking Low birth weightb Further studies are needed During lactation Maternal smoking Increased risk of sudden infant death syndrome (SIDS)b Neurodevelopmental and behavioral disordersb Sleep disruptionb Increased risk of overweight and obesitya,b Impaired glucose homeostasisa Increased risk of respiratory allergy (asthma and rhinitis)a,b with a promptly and friendly readable update of the matter. The results of this review strengthens the need to plan population health policies aimed to implement educa- tional programs to hopefully minimize tobacco smoke exposure during pregnancy and lactation. Mothers should be strongly encouraged to stop smoking espe- cially during pregnancy and lactation. Parents should know that exposure to prenatal and postnatal tobacco smoking is associated with different adverse outcomes and that tobacco smoking is one of the most preventable causes of infant morbidity and mortality [52]. However, breastfeeding is the best way of infant feeding even if a mother doesn’t quit smoking during lactation [49]. Amal- gamating results from different studies, this paper could be a useful tool to educate and increase awareness about adverse health effects of parental tobacco smoking for children. Additionally, it could be a starting point for the conception of new health promotion and public health campaigns that emphasize the importance of parental smoking cessation. Abbreviations BMI: body mass index; BP: blood pressure; CO: carbon monoxide; COX: cytochrome c oxidase; DHA: docosahexaenoic acid; HRV: heart rate variability; LBW: low birth weight; LC-PUFA: long chain polyunsaturated fatty acids; SGA: small for gestational age; SIDS: sudden infant death syndrome; TH: T-helper. Authors’ contributions GB had primary responsibility for manuscript management, and contributed to the writing of the manuscript. AM, ML, CL, FM, FB, GR, performed critically the literature research about this issue and contributed to the writing of the manuscript. EV supervised the editorial project and contributed to the writing of the manuscript. All authors read and approved the final manuscript. Author details Italy. 2 Department of Health Sciences, University of Milan, Via A Di Rudinì 8, Azienda Ospedaliera G. Salvini, Milan, Italy. 4 Pediatrician Primary Care, Institute of Biomedicine and Molecular Immunology, National Research Council, CNR, Palermo, Italy. 5 Nutritional Sciences, University of Milan, Milan, Italy. Competing interests All the authors declare that they have no conflict of interest or financial sup- port for this study.", "deleted_count": 5, "triggered_rules": ["trim_garbage_start", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "Maximum sprouting was recorded in semi hard wood cuttings of 25 cm length treated with 1000 ppm IAA (100 %) and minimum was recorded in soft wood cut- tings of 25 cm length with 400 ppm of IBA (63.33 %) . Earliness in sprouting and increase in num- ber of sprouts may be due to better utilization of stored carbohydrates, nitrogen and other factors with the help of growth regulators .Further stored food materials with the help of growth regulators have fastened the sprouting there by enhancing the utilization of carbohydrates at base of cuttings through photosynthesis . According to Wright, that vegetative propagation, the sprouting depends on food reserve available within the cuttings. In case of rooting per- centage among IAA and IBA effect on root- ing of different types and length of cuttings of P. pin- nata, IBA treated in hard wood cuttings of 25 cm length showed maximum rooting (60 %) for the mean value of rooting percentage (over all concentration) where as soft wood cuttings of 15 cm length treated with IBA resulted in minimum rooting (18.88 %). The effect may be due to the slow translocation property or slow destruction by auxin destroying enzyme system . It is also came to know from this investigation that IBA treated 25 cm length hard wood cuttings at the concentration of 800 ppm gave the maximum rooting of P. pinnata (90%) com- pared to with control treated in distil water of 15 cm length of soft wood cuttings which is minimum (0%).This may be due to better response to optimum concentration of IBA may be attribute to increase rate of respiration, accumulation of higher level of amino acids of base after 4 hours the treatment with auxins than in control treated with distil water. This pattern is continued with nitrogenous substances accumulating in the basal part of treated cuttings, apparently mobilized in the upper part and translocated as aspergene . Palanisamy and Kumar, reported that exogenously applied aux- ins are sensitive to activate the cambium probably in the active period of cambium resulting significant root formation and also mentioned that IBA induced more number of roots during the months of January, Febru- ary, March and April and 800 ppm IBA proved to be most suitable for adventitious rooting and formation of more number of roots in case of P. pinnata. The rela- tively poor rooting with IAA treated stem cuttings of P. pinnata in comparison to IBA could be explained by the sensitivity of IAA to light , production of more ethylene which is known to inhibit the root production (Mullins, 1972 ) and could also be due to the higher metabolic turnover . IBA is less sen- sitive than IAA to non biological degradation such as photo oxidation .In general IBA 800 ppm has been found to induce better root system in P. pinnata cuttings. The basis for this may be enhancement of hydrolysis of nutrient response (mainly starch) by auxin treatment .According to Nanda et al., enhanced hydrolysis activity in the presence of exoge- nously applied hormones was responsible for the in- creased rooting in auxin treated cuttings. IBA treat- ment enhanced the cambial activity . In case of soft wood, semi hard wood, hard wood cuttings of 15 cm length treated with S. Rout and S. Nayak / J. Appl. & (2): 844 – 850 IAA 200 ppm and 400 ppm respectively resulted in maximum rooting percentage .This may be due to the synergetic effect of the total amount of indigenous auxin present in the cuttings and the exogenous auxin (", "deleted_count": 15, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "fig_table_ref"]}
+{"cleaned_text": "Rout and S. Nayak / J. Appl. & (2): 844 – 850 IAA 200 ppm and 400 ppm respectively resulted in maximum rooting percentage .This may be due to the synergetic effect of the total amount of indigenous auxin present in the cuttings and the exogenous auxin (IAA) applied at various concentration to the different types of cuttings enhances the cambial activity at opti- mum photoperiod and temperature. Wareing and Rob- erts, 1956; Waisel and Fahn ; Smith and Ware- ing reported that endogeneous IAA, photope- riod and temperature presumed to control the cambial activity. However in case of soft wood, semi hard wood, hard wood cuttings of 25 cm length treated with IAA 1000 ppm, IBA 1000 ppm and IBA 800 ppm re- spectively resulted in maximum rooting. Similarly for root length IBA showed maximum (19.16 cm) which may be due to its greater stability, transportability, ability to produce roots and consequently results in promoting root length and lower mortality in plants . The length of longest root was observed in 400ppm IBA treated with 25 cm length semi hard wood cuttings and IAA 1000 ppm and IBA 400 ppm and 2000 ppm re- spectively resulted in maximum rooting length (Table 3) .The possible reason for IAA and IBA showing highest root length might for the early formation of roots and more utilization of reserved food materials of the treated cuttings . As per Keseri et al., maximum root length was observed in case of cuttings treated with 2.85mM IAA .The differences among auxins could also be related to other factors such as higher stability and slow rate of conjugation of IBA ,so that the free IBA required to induce rooting will be available over a longer period of time than IAA .Similarly for root number 15 cm length soft wood cuttings treated with IBA gave maximum root numbers (16.22) over other treatments and control. Which may be due to less sensi- tivity of IBA to none biological degradation such as photo oxidatation and comparatively less production of ethylene which helps in root production. Maximum root number (24.66) was obtained in hard wood cuttings of 25 cm length treated with 2000 ppm S.N. Cutting Type Control Mean Cutting +IAA Cutting + IBA Cutting + IAA Cutting + IBA Mean Cutting type – CD at 5% - 6.55 (4.3", "deleted_count": 31, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "S. N. Cutting Type Control Mean IAA IAA IBA + IAA IAA + IBA Mean Cutting type – CD at 5% - 7.50 (5.92); Concentration – CD at 5% - 5.30 (3.97); Interaction CD at 5% - 12.37 (9.57); *Figure in parenthesis are the angular transformed values. S. N. Cutting Type Control Mean Mean Cutting type – CD at 5% - 0.77; Concentration – CD at 5% -0.55; Interaction CD at 5% - 1.90 IAA which may be due to the higher concentration of IAA and or synergic effect of indigenous and exoge- nous auxin (IAA) applied on the cuttings making fa- vorable condition for producing maximum root num- ber. Negi and Tiwari also reported that higher concentration of some growth hormones promoted maximum number of roots in P. pinnata .This may be also due to enhanced hydrolysis of carbohydrates caused by auxins treatments .In case of soft wood, semi hard wood and hard wood cuttings of 15 cm and 25 cm length treated with IBA 1000 ppm and 400 ppm IAA respectively resulted in maximum root number. However in case of soft wood, semi hard wood and hard wood cuttings of 25 cm length treated with IAA 2000 ppm and IBA 800 ppm respectively resulted in maximum root number. This may be due to higher concentration of IBA are also beneficial for promotion of rate of rooting and heavier root system in stem cutting of P. pinnata ( Negi and Ti- wari ,1984.).The result of fresh biomass ob- served was maximum (43.94 g) in semi hard wood cuttings of 25 cm length treated with IBA, However maximum fresh biomass (63.66 g ) was recorded from semi hard wood cuttings of 25 cm length treated with", "deleted_count": 41, "triggered_rules": ["trim_garbage_start", "remove_citations", "figure_or_table", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "The result of fresh biomass ob- served was maximum (43.94 g) in semi hard wood cuttings of 25 cm length treated with IBA, However maximum fresh biomass (63.66 g ) was recorded from semi hard wood cuttings of 25 cm length treated with IBA treatment enhances the growth of cutting raised S.N. Cutting Type Control Mean IAA IBA IAA IBA Mean Cutting type – CD at 5% -1.90; Concentration – CD at 5% - 1.34; Interaction CD at 5% -4.66 S. N. Cutting Type Control Mean IAA IBA IAA IBA Mean Cutting type – CD at 5% - 2.87; Concentration – CD at 5% - 2.03; Interaction CD at 5%-7.04 plants because of more root numbers, root length and faster cambial activity than the hard wood and soft wood cuttings. The higher food resources in large cut- tings could be another reason for their better growth and development. Zhang et al. reported a sig- nificant increase in root length and root biomass and shoot length of cuttings with increase in diameter of cuttings in Feijoa sellowiana. IBA treatment enhances the cambial activity .In case of soft wood, semi hard wood and hard wood cuttings of 15 cm length treated with IAA 2000 ppm, 1000 ppm and IBA 200 ppm, respectively re- sulted in maximum fresh biomass. However incase of soft wood, semi hard wood and hard wood cuttings of", "deleted_count": 44, "triggered_rules": ["trim_garbage_start", "remove_citations", "fig_table_ref", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "The dry biomass was more in treated hard wood cuttings raised plants than the treated semi hard wood cuttings raised plants (which shows maximum fresh biomass) may be because hard wood cuttings raised plants have less fresh biomass resulting in less moisture content in shoot portion than the semi hard wood raised plants. In case of soft wood, semi hard wood and hard wood cuttings of 15 cm length treated with IAA 2000 ppm and IBA 200ppm, For production of healthy seedlings cutting of 25 cm length should be treated with IBA. Hence this treat- ment may be preferred over other treatments for vege- tative propagation through stem cuttings of P. pinnata for mass multiplication.", "deleted_count": 4, "triggered_rules": ["trim_garbage_start", "results_discussions", "chapter_titles"]}
+{"cleaned_text": "The use of an analytical approach in assessing changes in specific electricity consumption leads to significant discrepancies between actual and calculated values and, ultimately, distorts the real state of the energy efficiency of the industrial sector. The most important element in assessing the energy efficiency of production, ways to improve it, as well as the implementation of energy saving measures is mathematical modeling of energy processes. Taking into account the system properties of energy survey objects makes it possible to avoid errors in assessing the specific consumption of energy resources when implementing energy saving measures. [23] N. Ketoeva, N. Soldatova, N. Rebrikova, and S. Ilyashenko, Russian Hydropower Sector and its Human Resources Under Digitization Conditions,IOP Conference Series: Materials Science and Engineering, 497(1), 012121 E3S Web of Conferences 220, 01024 SES", "deleted_count": 5, "triggered_rules": ["trim_garbage_start", "remove_citations", "url_or_doi"]}
+{"cleaned_text": "The most important perceived reasons or benefits for taking part in physical activity are summarized in CHAID analysis). RI; response index, i.e. ratio of the percentage of positive answers in a subgroup divided by the percentage of positive answers in the entire sample ‘to release tension’ and ‘to get fit’. There was a wide interstate variation in the selections. ‘To maintain good health’ varied from 21% in Portugal to 55% in Spain. Forty-one per cent of Italian subjects cited ‘to release tension’ as an important reason for participation in physical activity, compared to 16% of Swedish subjects. Otherwise, Swedish subjects were more concerned about getting fit (36%) while only 8% of the Portuguese saw ‘to get fit’ as an important motivation factor for participation in physical activity. The proportions of EU respondents believing ‘to socialize’, ‘to control weight’ and ‘to have fun’ were good reasons for participating in physical activity were 14%, 13% and 10%, respectively. The variable ‘do not participate in any form of physical activity/exercise’ showed the greatest intercountry variation in values ranging from <1% in Finland to almost half of the Portuguese population. When the motivating factors for participation in physical exercise were examined by the various demographics, ‘for good health’ was regarded as being the most important variable across all demo- graphics, especially among those aged 55þ years and those with a primary-level education. The factors ‘achievement’, ‘competition’, ‘concentra- tion’ and other and uncertain answers were cited by less than 5% of the subjects and, therefore, are not given in the table. The individuals mentioning ‘to maintain good health’ as a reason for physical exercise were analysed by CHAID. The highest response index of 1.35 is found among women recognizing both diet and physical activity as important factors for health. This index means that within this subgroup the portion of individuals believing in a positive health effect of these influencing factors is higher by approximately one-third than in the entire sample questioned. Male individuals with an identical answer- ing pattern show a smaller response index of only Younger subjects educated to tertiary level were more inclined to choose ‘to get fit’. While 20% of EU respondents claim that ‘to be out of doors’ was a motivating factor for taking part in physical activity/ exercise, this level rose to 25% for those with primary- level education and to 30% for subjects aged 55þ years. To maintain To release To be out To control Do not Country good health tension To get fit of doors To socialize weight For fun participate Austria Belgium Denmark Finland France Germany Greece Ireland Italy Luxembourg Netherlands Portugal Spain Sweden UK EU average* * Weighted according to population size. Age (years) Sex Education level Motivating factors Male Female Primary Secondary Tertiary To release tension To be out of doors To maintain good health To socialize To control weight For fun To get fit Do not participate ‘To control weight’ was not perceived to be important in motivating subjects to participate in physical activity. Only 13% of the European population cited this variable, among these more females (16%) than males (10%). The ‘to release tension’ variable was regarded as more important for younger and middle- aged subjects and those with a secondary and tertiary- level education. This higher choice of ‘to release tension’ among these groups may be a reflection of their work routine or lifestyle. The percentage of subjects in each member state selecting ‘to release tension’ classified by gender is shown in. In almost all member states there was a clear education- related increase for both males and females. Compared to subjects educated to primary or secondary level, subjects with a tertiary-level", "deleted_count": 10, "triggered_rules": ["trim_garbage_start", "figure_or_table", "fig_table_ref", "chapter_titles"]}
+{"cleaned_text": "This higher choice of ‘to release tension’ among these groups may be a reflection of their work routine or lifestyle. The percentage of subjects in each member state selecting ‘to release tension’ classified by gender is shown in. In almost all member states there was a clear education- related increase for both males and females. Compared to subjects educated to primary or secondary level, subjects with a tertiary-level education were more likely to choose this item as a perceived benefit to participate in physical exercise. A CHAID analysis revealed that the benefit ‘to control weight’ was most frequently mentioned (32%) by women perceiving themselves to be overweight and being physically active for 1.5–4.5 hours per week. Only 21% of men with the same characteristics gave this answer. Twenty-three per cent of women and 18% of men wish to reduce their body weight by their effort in physical exercise. Surprisingly, these data do not correlate with the real body mass index (BMI) of the subjects. Among women this motivation slightly increases parallel to the recorded physical exercise, women being active up to 1 hour, 1.5–4.5 hours and more than 5 hours per week mention the factor ‘to control weight’ with a frequency of 13%, 19% and 16%, respectively. This tendency was not observed among male subjects. There is also a positive relationship between the factor ‘to control weight’ and the self- estimated BMI of the subjects. Thirty-one per cent of overweight and 26% of obese women expect to normalize their perceived body weight by being active. Among obese men recording to be active more than 5 hours per week there is also a relatively high percentage (21%) of subjects who expect a normalizing effect on their body weight. There was an age-related increase in those people selecting the response ‘I do not participate in any activity’, while the opposite trend occurred with increasing education level with 14% primary-educated subjects versus only 7% of those with a tertiary-level education selecting this variable. This relationship between education level and the selection of ‘I do not participate’ was examined further across the 15 member states. While an education-related decrease occurred in all but one member state (Finland, where less than 1% of respondents with a primary, secondary or tertiary-level education did not engage Male Female Country Primary Secondary Tertiary Primary Secondary Tertiary Austria Belgium Denmark Finland France Germany Greece Ireland Italy Luxembourg Netherlands Portugal Spain Sweden UK EU average* * Weighted according to population size. ‘I do not participate in any physical activity/exercise’ classified by education level Country Primary Secondary Tertiary Austria Belgium Denmark Finland France Germany Greece Ireland Italy Luxembourg Netherlands Portugal Spain Sweden UK EU average* Portugal. Indeed, Portugal was unique among the 15 member states in that the percentages in all education levels exceeded the other countries by a factor of two to three. As many as 61% of Portuguese subjects with primary-level education did not participate in any form of physical activity and this value dropped to just 23% among those educated to tertiary level. Conflicting statements can be observed analysing those subjects not perceiving a benefit from physical exercise and simultaneously citing to be inactive. Indeed, only 10% of these individuals (12% of female, 9% of male) recorded no physical activity. However, 24% of men and 23% of women believing themselves to be inactive, were in fact participating in some physical activity for up to 1 hour per week. Perceived barriers The second question aims to assess the perceived barriers which people may have to participating in physical activity. On observation of the EU average, ‘work/study commitments’ was the most frequently perceived barrier cited for not increasing partici- pation in physical activity at 28%, followed by ‘not the sporty type’ at 25%. The remaining perceived barriers to increase one’s physical activity were not regarded as being as important. Indeed the percentage of EU subjects selecting ‘looking after children/elderly relatives’ and ‘no need to do any more’ is", "deleted_count": 7, "triggered_rules": ["trim_garbage_start", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "The remaining perceived barriers to increase one’s physical activity were not regarded as being as important. Indeed the percentage of EU subjects selecting ‘looking after children/elderly relatives’ and ‘no need to do any more’ is There were, however, significant variations between countries, particularly for the barrier ‘work/study commitments’ with 46% of the Italian respondents selecting this barrier in comparison to only 13% of the German respondents. Thirty-three per cent of German subjects believed that ‘not the sporty type’ was a barrier in comparison to 12% of Finnish subjects. Over a quarter of Spanish subjects felt ‘poor health’ was a barrier to partaking in physical exercise and one-fifth of this population also believed they were too old, compared with the EU average of one in 10 subjects. Just as there was considerable interstate variation in the perceived barriers to increasing participation level in physical exercise, there were also marked differences in percentages across demographics . Respondents who were younger, educated to tertiary level and who were male, were more inclined to choose ‘work/study commitments’ as a major barrier to increasing levels of physical activity especially compared to primary-educated subjects (16%). ‘Looking after children/elderly relatives’ was an important barrier for females with more than three times as many (18%) selecting this barrier compared to males (5%). The barriers ‘lack of facilities’, ‘no-one to do it with’, ‘fear of injury’, ‘shy/embarrassment’, ‘waste of time’ were cited by less than 10% each. The relationship between education level and the barrier ‘not the sporty type’ was further examined across the 15 EU member states. The education- related decrease seen in the average EU sample was apparent in 10 of the member states. In the other five countries there was little effect of education level on the selection of this barrier. As education level of subjects increased from primary to tertiary level, so did the percentage of subjects mentioning the barrier ‘work/study commitments’ in all 15 member states . Thus, for tertiary-educated subjects in all 15 member states, this time-related barrier represents an important obstacle to increasing their level of physical activity. In this instance the differences across educa- tion level within member states tended to be greater Not the Looking after Country Work/study sporty type children/elderly No need Poor health No energy Too old Other Austria Belgium Denmark Finland France Germany Greece Ireland Italy Luxembourg Netherlands Portugal Spain Sweden UK EU average* Sweden selected the barrier ‘work/study commitments’ compared to almost two-third of Italians with the same education level. For those who mentioned the barrier ‘not the sporty type’, almost half of the respondents said they took part in no physical activity, compared to a quarter of those who did not mention this barrier. The percentage of respondents who mentioned ‘not the sporty type’ varied by current body image, with an increase from 30% of subjects with current body image figures 1–3 (low weight) to 45% of subjects with current body image figures 5–7 (overweight). Participation in various physical activities was also looked at in terms of another perceived barrier ‘no need to do more’. Respondents who selected this barrier had higher rates of participation in gardening and walking and had lower levels of non-participation (24%), compared with those who did not select ‘no need to do more’ (32%). This 24% of EU subjects represents a resistant group of inactive people who feel they do not need to be more active and presents those developing programmes which encourage increased levels of activity in the population with a formidable challenge. This study was intended to find new approaches to counteract the sedentary lifestyle of the European population. The results give much new information, especially for special risk groups. They demonstrate that most European individuals are quite well- informed about lifestyle factors influencing health in a positive or negative way. No information could be obtained, however, to what degree the subjects responded to the questions in a socially desired way. Classifying the subjects of the EU member states", "deleted_count": 7, "triggered_rules": ["trim_garbage_start", "results_discussions", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "The results give much new information, especially for special risk groups. They demonstrate that most European individuals are quite well- informed about lifestyle factors influencing health in a positive or negative way. No information could be obtained, however, to what degree the subjects responded to the questions in a socially desired way. Classifying the subjects of the EU member states into demographic subgroups reveals that the positive value of physical activity for health is recognized more strongly with an increasing educational level. Detailed (age, sex and education level) Age (years) Sex Education level Perceived barriers Male Female Primary Secondary Tertiary Work/study Not the sporty type Looking after children/elderly No need Poor health No energy Expense Too old Lack of facilities Other Not the sporty type Work/study commitments Country Primary Secondry Tertiary Primary Secondary Tertiary Austria Belgium Denmark Finland France Germany Greece Ireland Italy Luxembourg Netherlands Portugal Spain Sweden UK EU average* Thus, there is only a limited or absence of stimulation to alter the personal lifestyle on a long-term scale. Only subgroups with elevated risk show a higher affinity to draw personal consequences from their situation and to change their everyday habits. This can be demon- strated among obese and overweight females. These subjects are more likely to perceive a benefit for weight control from their physical exercise than the rest of the population. However, the ability of subjects to estimate their personal level of activity is limited to a certain degree. One reason is that the term ‘physical activity/ exercise’ used in this study was defined in a rather broad sense. The study participants were forced to associate with the term not only sport exercise, but also all their everyday activities at work and during leisure time. Even with this information participants tended to underestimate the extent and duration of activities not typically associated with the image of physical exercise. Analogous to the phenomena of over- and under-reporting in dietary records, a similar behaviour is likely to be found in records of physical activity. As a methodical consequence it seems to be better to supply close-ended questionnaires on levels of activity to participants, so they can better control their own answers. The quality of recording may also be improved by a detailed list of several activities and by some explanations how these activities have to be recorded in respect to their duration and intensity12,15,24. From the study results it is obvious that the majority of respondents associate physical activity and exercise with being more a strenuous task and duty than with fun, recreation and relaxation. Mostly, physical activity is equated to sports. Therefore, many respondents mention ‘not a sporty type’ or ‘too old’ as a barrier and use this statement as an excuse not to increase their levels of activity. This is true also for many overweight and obese subjects who reject the idea of doing any sports and increasing their level of physical activity. They perceive a link between a lean body image and the level of activity. These subjects, especially older age groups, are not well enough informed about recent studies demonstrating the positive effects of moderate physical activity on health25–31. To stimulate more people to be physically active it is necessary to be aware of the determinants of physical behaviour. There are a number of models which explain physical activity behaviour, but in general these include three sets of determinants: (1) knowledge and attitudes, (2) social influences, and (3) barriers and self-efficacy32. In a review Sabha and Achterberg33 discussed the problems of recognition, interpretation and motivation arising in the complex of nutrition, activity and health-related behaviour. They demon- strated that outcome expectations, health belief and health value associated with health-related behaviour are not sufficient to release the necessary health-related action of an individual. The perceived barriers within the individual’s consciousness can only be overcome by an improved self-efficacy and distinctive self- confidence. To achieve a higher level", "deleted_count": 4, "triggered_rules": ["trim_garbage_start", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "They demon- strated that outcome expectations, health belief and health value associated with health-related behaviour are not sufficient to release the necessary health-related action of an individual. The perceived barriers within the individual’s consciousness can only be overcome by an improved self-efficacy and distinctive self- confidence. To achieve a higher level of physical activity in the population, however, not only behavioural but also social aspects have to be considered. The social side of prevention has to take into account the opportunity available to people to implement altered activities into their lifestyle, the situation at work and education, the national conditions of health-promoting measures and the reputation of the desired behaviour within the society. Thus, the public health message to increase physical exercise in a population base seems to be very simple, as published in the USA: ‘Every US adult should accumulate 30 minutes or more of moderate- intensity physical activity on most, preferably all, days of the week’34. However, to be successful with such recommendations new preventive programmes have to focus both on personal and environmental conditions of the individual and the population. Few studies in the EU, all of them on a national level, have looked at knowledge and attitudes towards physical activity35. The Allied Dunbar National Fitness Survey conducted in 1992 in the UK is one example, and examined attitudes to physical activity as well as the motivating factors and barriers to participate in physical activity36. No European study has, however, looked at the stages of change towards physical activity. One approach in the US, aimed at encourag- ing people to be more active, uses the stages of change model (PACE)7. This model describes the changes that need to take place for a more physically active lifestyle. While there are many programmes to tackle obesity in different countries in the EU most do so in the absence of knowledge of the attitudes towards physical activity and body weight. They also do so in the absence of the perceived motivating factors and barriers to physical activity and the stages of change towards physical activity. Weight loss is best achieved by combining dietary intervention with increased amounts of physical activity. The most effective strategy for weight loss in either moderately obese or morbidly obese individuals appears to be a hypocaloric, low-fat diet combined with a moderate-intensity, moderate-duration resist- ance or aerobic exercise training programme. Increas- ing amounts of physical activity or maintaining high levels of physical activity for purposes of weight control might be most important in preventing the increases in weight known to occur with ageing, from the early twenties through to the late sixties. This pan-EU survey of consumer attitudes to physical activity, body weight and health is the first study to examine the attitudes of EU consumers from all 15 member states, together with obtaining a measure of prevailing levels of activity, inactivity and self-reported body weight. Some strategy recommendations to increase levels of physical activity in the EU and to stem the continuing rise in obesity, by means of preventing further weight gain are proposed based on the data arising from this pan-EU consumer attitudinal survey. The preventive aspect of physical activity must be an area of priority for future research attempting to better understand the role of physical activity in weight regulation.", "deleted_count": 1, "triggered_rules": ["trim_garbage_start"]}
+{"cleaned_text": "Physicochemical Properties of the Adsorbent SEM images in depicted the structural differences of HTS and BTS before and after adsorption. The raw BTS displayed un- evenly distributed pores, rough and irregular structure while raw HTS dominantly exhibited a rough coalesced carbon layer with stacked alignment. The reason for raw BTS is due to the lignin and cellulose structures of the sample was extremely damaged and/or disappeared during pyrolysis. During the HTC process, the acidic medium has gradually seeped into the amorphous cellulose and some soluble segments of lignin of straw resulting in cracked and disrupts the cellulose chain [21]. The SEM after fluoride adsorp- tion were observed to be a uniform morphological distribution of particles containing scattershot pores and smooth heterogeneous surfaces with dull edges in both adsorbents. The N2 adsorption-desorption isotherms of HTS and BTS ana- lyzed. According to IUPAC classification, BTS displayed isotherm a combined type I and type IV with H4 hysteresis loop, explaining the presence of a narrow slit-like microporous and meso- porous surface gain through multilayer adsorption followed by capillary condensation. By contrast, HTS exhibited isotherm type IV with H3 hysteresis loop, indicating staged adsorption on mesopores. Its hysteresis loop revealed loose assemblages of the plate-like structure at which the capillary condensation taking place to fill and withdraw N2 molecules on those mesopores. It is noteworthy that the BET specific surface area (SBET) and total pore volume (VT) of HTS are far less than BTS. Hence, BTS is expected to further facilitate the adsorption of fluoride through having such favorable morphology which is accessible to adsorbate molecules in a given size and shape than HTS. The linkages of phosphate and phosphate ester with lignocellulose may encourage the expansion of the struc- ture, whereby the voids volume was protected [22, 35]. Further, the average pore diameter (Dav) shows larger for HTS than BTS. The functionalities of both adsorbents studied by FTIR spectra are shown in. The peaks observed on both adsorbents at 3,421 cm-1 and 1,036 cm-1 are assigned to stretching vibrations of O-H [36] and sulfonic group, respectively. Compared to HTS, the peak observed at 2,908 cm-1 derived from the asymmetric ali- phatic saturated C-H group [37] and 1,632 cm-1 indicating C = C stretching vibrations and its derived carbons [38] are not observed in BTS. Rather, BTS shows an intensity reduction of such groups due to lignin removal during the pyrolysis treatments. The bending vibration peaks of the water molecules at 1,180 cm-1 representing aromatic C-O-C stretching from cellulose. Some weak bands were also observed in both adsorbents between 700-490 cm-1, indicating the presence of C-C stretching. Phase analysis of HTS and BTS and their XRD patterns are shown in. The diffraction patterns of BTS at 16.2 and 27.3º shows the planes of CaO6P2 while 26.5º shows the plane of Si (P2O7). Those peaks also revealed the crystalline carbonaceous structure of BTS. The sharp and intense peak at 24º is due to the enlargement of crystalline size and further development of pores. The extra slight peaks appeared at 13.56, 31.35, and 42º are associated with randomly existed SiC crystal structure of a short-ranged order in graphene oxide layers. The two broad peaks of HTS shown at around 14.4 and 26º are signifying the amorphous AlPO4 phase [39]. The thermogravimetric curve of BTS and HTS are shown in (49%) for HTS occurred from 250°C to 5", "deleted_count": 10, "triggered_rules": ["trim_garbage_start", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "The N2 adsorption-desorption isotherms of BTS (a) and HTS (b) (insert: pore size distribution). range from 30 to 250°C, ascribed to the surface-bound water and moisture release (dehydration). The steep and gradual weight loss (49%) for HTS occurred from 250°C to 545°C and the major weight loss (about 76%) for BTS took place from 250°C to 700°C is attributed mainly to the decomposition of cellulose and lignin [32]. The final weight loss (86.07%) of BTS remained constant above 700°C while the total weight loss (91.79%) for HTS remained constant after the temperature reached 545°C. The adsorption process was highly depending on the solution pH with a similar trend for both adsorbents. The high adsorption ca- pacity was recorded in low pH with a peak at pH 2 while abruptly ceased after pH 8(a)). It is evident that the presence of H+ at low pH, the attraction of fluoride ion with the adsorbent sites could be strengthened since the hydroxylation process is formed [40]. Conversely, the higher pH enhances the adsorption competition between hydroxyl and fluoride ions; thereby the ad- sorbent sites could be more occupied by hydroxide ions over aimed adsorbate. Hereafter, pH 2 was used for subsequent experiments. The effect of initial moisture content present on the prepared adsorb- ent was studied by varying the drying temperature for both adsorb- ents(b)). The higher adsorption capacity was shown at 15% initial moisture content. A slight decrease in adsorption capacity at the moisture level below 15% might be due to less hygroscopicity (formed by the carbon-oxygen and H2O complexes on carbonaceous material), which bind the H2O molecules and then hinder the pore chamber expansion. The available adsorbent moisture content was calculated using ASTM D2867 standards [42]. In order to examine the effect of adsorbent dose, 100 mg/L of initial fluoride solution was employed with an adsorbent dose started from 0.1 g till the point at which the final concentration could able down to a safe level. As shown in(c) the amount of BTS needed to obtain safe fluoride level was achieved by using 2/3 of the amount for HTS(d)). This phenomenon may due to the difference in the availability of free active sites which still enabled to adsorb the remaining ions [43]. Consequently, the driving force of mass transfer between the liquid and solid phase in an aqueous adsorption system decreasing with time elapse [44]. The adsorption capacity of fluoride ion was investigated at different initial fluoride concentration. The adsorption capacity of BTS and HTS increased from 1.5 to 27 mg/g and 1.7 to 24 mg/g, respectively, as the initial fluoride concentration was in- creased from 2 to 40 mg/L. At lower initial concentration, the adsorp- tion system goes independent of initial concentration and gradually gets exhausted sharply with the increase in initial fluoride concen- tration [45]. This could probably take place due to an increase in the diffusion", "deleted_count": 18, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "chapter_titles", "figure_or_table", "fig_table_ref"]}
+{"cleaned_text": "At lower initial concentration, the adsorp- tion system goes independent of initial concentration and gradually gets exhausted sharply with the increase in initial fluoride concen- tration [45]. This could probably take place due to an increase in the diffusion of fluoride ion to adsorption sites until sorbent saturation is achieved. Moreover, the utilization of less accessible or less active sites of the adsorbent could occur when there was more fluoride ion in the solution to be taken up. The fluoride removal increased for both adsorbents on increasing the agitation speed. From, it can be seen that the equili- brium adsorption capacity occurred at the speed of 200 rpm for both adsorbents. Beyond 200 rpm agitation speed, there was no further fluoride uptake noticed for both adsorbents. The lower agitation speed leads to the accumulation of the adsorbent particles in the flask instead of spreading in the sample solution [44]. On the contrary, a higher agitation speed encour- ages the mobility and mass transfer of the fluoride ion in the system by reducing a boundary layer thickness around the ad- sorbent surface. The thermodynamic behavior of the adsorption process was exam- ined through varying adsorption temperatures. The parameters re- sult shows the function of temperature and related ther- modynamic parameters of the adsorption which are calculated by the following equations: ∆ ∆ ∆ Where ∆G0 (kJ/mol), ∆H0 (kJ/mol) and ∆S0 (kJ/mol K) are the standard free energy, enthalpy and entropy change, respectively. T is the temperature (K) and R is the universal gas constant (8.314 J/mol K). The slope and intercept of the plot of the distribution coefficient (KL) versus 1/T were used to calculate the values ∆H0 and ∆S0, respectively. Both adsorbents exhibited almost similar thermodynamic behavior. The less negative values of ∆G0 with increasing the adsorp- tion temperatures showing the adsorption process was spontaneous and the exchange is proportional to the temperature for both adsorbents. The positive values of ∆H0 revealed an exothermic adsorption process. It also likely indicated the higher electro- negativity of fluoride ion and its substitution for hydroxide ion on the carbonized feature of the adsorbents, thereby chemical in nature [46]. The positive values of ∆S0 confirm the affinity of fluoride ions towards the adsorbents. The adsorption response for an increment in the amount of adsorbate at constant temperature was studied. Langmuir and Freundlich isotherm models were used as Eq. (7) and (8), respectively. Where Qe (mg/g) and C0 (mg/L) are the equilibrium and initial fluoride concentration, respectively; Qm is the maximum adsorption capacity (mg/g), KL (L/mg) and Kf (L/mg) are the Langmuir and Freundlich constant, respectively. A plot of lnQe versus lnCe is a straight line defined by a slope nf and intercept lnKf. The result in shows the Langmuir isotherm fitted with the experimental data for both adsorbents ascribing the adsorption process takes place on their surface with limited interaction of adsorbed molecules while Freundlich fitted well for BTS indicating its heterogeneous surface to perform multilayer adsorption. Table", "deleted_count": 27, "triggered_rules": ["remove_pua_symbols", "trim_garbage_start", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "A plot of lnQe versus lnCe is a straight line defined by a slope nf and intercept lnKf. The result in shows the Langmuir isotherm fitted with the experimental data for both adsorbents ascribing the adsorption process takes place on their surface with limited interaction of adsorbed molecules while Freundlich fitted well for BTS indicating its heterogeneous surface to perform multilayer adsorption. describes as the maximum monolayer adsorption capacity Qm of BTS and HTS at 100 mg/L is 212 mg/g and 88.7 mg/g, respectively. Adsorbents Langmui models Freundlich models Adsorbents Pseudo-first-order Pseudo-second-order min min × The adsorption kinetic behaviour of fluoride on to BTS and HTS were analysed. The experimental data were correlated by using the pseudo-first-order and pseudo-second-order kinetic models. The pseudo-first order model equation is: And the pseudo-second-order model equation: Where Qe (mg/g) and Qt (mg/g) are the adsorbed amount of fluoride at equilibrium and at a time t, respectively; k1 and k2 are the (1/min) and rate constant (g/mg. min), respectively. Based on the higher correlation coefficients along with a close value of experimental and calculated adsorption capacity, the pseudo-second-order was favorably fitted by the pseudo-sec391 ond-order model than the pseudo-first-order. Thus, the adsorption of fluoride onto both adsorbents was governed by a chemical reaction at which the electrons are shared between adsorb- ent sites and fluoride ions via valency forces. The desorption potential of fluoride ion from the exhausted adsorbent was directly proportional with the eluent concentration. The max- imum desorption capacity of BTS and HTS using NaOH was found to be 75% and 84%, respectively. By contrast, higher desorption was performed by using Na2CO3 with 82% for HTS and 91% for BTS. In general, HTS has better desorption efficiency than BTS. This may be due to less affinity of fluoride ion with HTS surface. Considering the raw materials and oven cost is free since the oven heat can be replaced by sunlight, the remaining cost mainly for activation chemicals (i.e., phosphoric acid) and electric power was calculated. The total cost spent to produce 1 kg of BTS and 1 kg HTS on lab scale is $3.80 and $5.5, respectively. However, this cost would be lower when it will be produced commercially on a large pilot scale. This paper presents the preparation, comparative characterization", "deleted_count": 35, "triggered_rules": ["remove_pua_symbols", "trim_garbage_start", "results_discussions", "regex_table_soup", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "The total cost spent to produce 1 kg of BTS and 1 kg HTS on lab scale is $3.80 and $5.5, respectively. However, this cost would be lower when it will be produced commercially on a large pilot scale. This paper presents the preparation, comparative characterization and fluoride removal performance of activated BTS and HTS. Both adsorbents produced under minimum activation condition (low H3PO4 concentration and temperature) except at nearly long activa- tion time. Pyrolysis process could produce a porous adsorbent as compared to the HTC process. The SEM analysis indicated that the surface morphology of both adsorbents was different prior to and after fluoride adsorption. The FTIR study revealed the presence of more functional groups on the surface of HTS. The BTS performed a multistage decomposition with relatively stable intermediates, indicates the temperature limit of stability of reactants and inter- mediate products. The pH of the solution and the amount of adsorb- ent significantly affected the adsorption process. The result in- dicated that an increase in initial fluoride concentration had a positive effect on adsorption capacity for a given mass of adsorbent. Langmuir isotherm was fitted both adsorbents equilibrium data and Freundlich isotherm fitted well BTS. The adsorption kinetics fitted pseudo-second-order for both adsorbents, indicating the chemisorption process. The maximum fluoride adsorption capacity of BTS was far greater than HTS. The cost spent on preparation of HTS is cheaper as compared for BTS. The characterization, adsorption experiment, kinetics, and isotherm studies are indicated BTS as an efficient adsorbent for fluoride contaminated water.", "deleted_count": 2, "triggered_rules": ["trim_garbage_start", "results_discussions"]}
+{"cleaned_text": "Thermodynamic Calculations CO2 methanation reaction is exothermic in nature, where 4 moles of H2 reacts with one mole of CO2 to form one mole of CH4 and 2 moles of H2O as shown in the main reaction (Equation (1)). Additionally, this main reaction is also followed by an exothermic reversed water gas shift (RWGS) reaction and endothermic CO methanation, as shown in Equations (3) and (4), respectively. H2 + CO2 ↔CO + H2O ∆H298 K = 41 kJ/mol. CO + 3H2 ↔CH4 + H2O ∆H298 K = −206 kJ/mol The overall CO2 methanation reaction (Equation (1)) is associated with a decrease in the overall number of gas molecules and releasing heat. Hence, according to Le Chatelier’s principle, the CO2 methanation process should favor high pressure and low process temperature for high methane yield [29]. Thermodynamic equilibrium calculations were performed using Aspen Hysys V11 by the Gibbs free energy minimization method to identify the reaction conditions with maximum CO2 conversion and methane selectivity. shows the effect of temperature and pressure versus CO2 conversion. (SCH4) at 8 bar, 200–600 ◦C, (b) CO2 conversion (XCO2) at 1, 4, 8, and 16 bar pressure at 200–600 ◦C using CO2:H2, 1:4 ratio. shows the temperature effect on CO2 conversion and CH4 selectivity. The conversion kinetics are infeasible at low temperatures, while at high temperatures, the reaction is thermodynamically unfavorable. Almost complete CO2 conversion and CH4 selectivity are observed at a temperature of 200 ◦C, and further increases in the temperature cause the CO2 conversion to decrease. At a stoichiometric H2:CO2 ratio of 4, the optimum temperature range for CO2 methanation is 200 to 500 ◦C, where CO2 conversion drops by only 20% and the CH4 selectivity is 99%. With an increase in the temperature above 500 ◦C, the CO2 conversion drops with CH4 selectivity. CO and carbon formation is favored at a high-temperature, which reduces CH4 selectivity drastically [30]. shows the effect of pressure on CO2 conversion at different temperatures. The calculations reveal that an increase in the pressure favors the methanation reaction. Additionally, according to Jurgensen et al., the elevated pressure increases the temperature at which carbon deposits occur [31]; hence, reaction at high pressure has dual advantages. However, the CO2 conversion is increased with increasing pressure up to a certain pressure, while further increase in the pressure does not significantly increase the CO2 conversion at high temperature. Hence, all reactions were performed at an optimum 8 bar pressure. Reactor design plays an important role in exothermic CO2 methanation, especially using adiabatic reactors. The benefits of adiabatic reactors are that they are relatively simple in construction and maintenance, but it is not easy to manage the heat generated [32]. There is a risk of CO and/or carbon formation in case of too high reactor temperature. CO can be just a byproduct, but the catalyst surface’s carbon formation may completely deactivate the catalyst over time. Hence reaction heat management is of utmost importance to avoid carbon formation and catalytic deactivation. Generally, the heat is either managed by a specially tailored design reactor system, efficient cooling fluid surrounding the reactor, or diluting the feed gas with an inert gas to lower the heat generation per volume. Our state-of-the-art reactor design managed the heat generation per volume by adding total reactant feed in small portions at the inlet of all four reactors and circulating efficient cooling oil. This process resulted in stable temperature management within the optimal temperature range (<500 ◦C), and we achieved almost equilibrium conversion as expected by the above simulations (see also the discussion in Section 3). Aspen Hysys. The actual reactor temperature recorded by a thermocouple placed in the middle of the reactor showed that the reactor temperature was within the optimum range. Reactors Expected temperature (◦C) Actual reactor temperature (◦C) 2", "deleted_count": 7, "triggered_rules": ["trim_garbage_start", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "Aspen Hysys. The actual reactor temperature recorded by a thermocouple placed in the middle of the reactor showed that the reactor temperature was within the optimum range. Reactors Expected temperature (◦C) Actual reactor temperature (◦C) The pilot plant methanation system ran for approximately 6 months of operation hours, including the startup and shut down by varying reaction conditions to establish stable operating conditions. The methanation process ran continuously for 6 h at optimized reaction conditions using 8 Nm3/h biogas and 16 Nm3/h H2, and it was stable over the operation hours. shows the experimental data from the methanation reactor for CO2 conversion. The CO2 conversion was approximately 90% and remained almost steady over the test period. The methane selectivity was >99%. The catalyst was used for more than 500 h and did not show any sign of deactivation or activity loss over the entire period. Similar observations were also seen from catalyst characterization, where no significant carbon formation was observed by XRD, BET, TGA, which could suppress or inhibit the catalyst activity. Physically no carbon formation was observed on the catalyst surface at the inlet of the reactor, and no pressure drop change was observed across the reactors throughout the test campaign. This result indicated no significant carbon formation which could block the fixed bed reactors. The Ni3S2 phase formation after the reaction indicated that feed biogas was contaminated with sulfur-containing compounds. This could be because of a sudden interruption of the desulfurization process during the test campaign. The backup carbon filter could not remove all the bulk sulfur from the biogas to ppb levels required by the Ni catalyst. A potential future improvement could be a sacrificial ZnO adsorbent before the active Ni catalyst, which can reduce the sulfur level to ppb in The Temperature Programmed Reduction of H2 (H2", "deleted_count": 10, "triggered_rules": ["trim_garbage_start", "figure_or_table", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "A complete mechanistic study of sulfur poisoning was not a part of this pilot plant test campaign. The diffraction peak at 26.2◦in both diffraction patterns are from the graphite base (JCPDS = 75-2078) used to support the catalyst sample for XRD analysis. The Temperature Programmed Reduction of H2 (H2-TPR) is usually employed for estimating the reducibility of the catalyst. shows the H2-TPR results for the fresh and used catalysts, respectively. The reduction patterns for a fresh catalyst showed two main reduction peaks; one at a lower temperature around 244 ◦C and another at a higher temperature above 550 ◦C. A sharp hydrogen consumption peak at 244 ◦C was attributed to reducing free NiO or weakly bonded NiO with Al2O3. At 579 ◦C, a broad peak corresponded to the reduction of a NiO, which is strongly bonded with Al2O3 [39]. A reduction at 400–600 ◦C generally corresponds to less reducible NiO species present in an aluminum oxide rich phase [40]. The H2-TPR of used catalysts showed low-intensity peaks at 213, The BET surface area results for fresh and used catalysts are shown in. It is seen that the surface area of the used catalyst decreased by 75.6 m2/g compared to the fresh catalyst. The catalyst reduction, carbon deposition on the catalyst surface leading to pore blockage, and crystalline phase transition leading to metal and support sintering are mainly responsible for the loss in the surface area [41–43]. Catalyst SBET (m2/g) Fresh catalyst Used catalyst In our case, XRD shows phase transition and increase in crystalline size due to the Ni3S2 phase, and this could be the reason for the loss in the surface area as the Ni3S2 phase can accelerate the Further detailed studies are needed to clarify this catalyst phase formation and its relationship with catalytic activity. It is reported that the carbon deposition starts from the formation of graphitic carbon (150–250 ◦C) and amorphous carbon (250–500 ◦C) islands on the catalyst surface. The carbon species may encapsulate the active nickel sites, causing the catalyst’s deactivation, or the carbon may form filamentous carbon on the catalyst surface. The latter does not encapsulate active sites and will only reduce the catalytic activity [47]. Since we did not observe drastic changes in the catalytic activity over a 6-month test campaign, the latter type of carbon formations may very likely occur and thus be responsible for the loss in the overall surface area along with sulfur poisoning. The fresh and used catalyst was tested for the decomposition of any species using thermo- gravimetric analysis (TGA).,b shows the TGA of a fresh and used catalyst, respectively. The results indicated that the total weight loss for fresh and used catalysts was ca. 8.2 and 9.6%, respectively. The fresh catalyst’s loss was due to water evaporation, decomposition of carbonates, and surface hydroxyl species. For the used catalyst, the change in weight loss was only 1.4%, which was negligible compared to the total time the catalyst was in operation. The small changes in the TGA graph of the used catalyst observed at 170 and 700 ◦C could be due to surface adsorbed species or carbon [48], but no major weight loss indicates that the carbon deposition was negligible on the catalyst. Furthermore, these observations were in good agreement with the decrease in the surface area and no major loss in catalytic activity.", "deleted_count": 10, "triggered_rules": ["trim_garbage_start", "results_discussions", "fig_table_ref", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "Furthermore, these observations were in good agreement with the decrease in the surface area and no major loss in catalytic activity. In summary, the demonstration of direct CO2 methanation of real biogas using H2 produced by water electrolysis was implemented successfully. The newly developed desulfurization unit worked well with almost complete sulfur removal and without any chemical waste production. A successful long-time stability test with 8 Nm3/h biogas feed showed a Technical Readiness Level of 7. This result is an important and crucial step towards upscaling and industrial implementation of (desulfurization, H2 production, and CO2 methanation) state-of-the-art technology at the commercial level. Author Contributions: P.M., L.P.N. conceptualization, funding acquisition; G.G. designed and build the pilot demonstration plant, J.P.R., G.G. methodology and designed the experiments; R.G. analyzed the experimental data, characterized the material, and performed thermodynamic calculations; F.B.G. catalyst characterization; R.G., S.N.B.V., P.L.F. prepared and wrote the original draft; R.G., P.M., L.P.N., G.G., F.B.G., P.L.F. involved in review and final editing. All authors have read and agreed to the published version of the manuscript. Funding: This research was partially funded by the Danish funding program ForskEl, through the MeGa-StoRE project (journal number 12393).", "deleted_count": 3, "triggered_rules": ["trim_garbage_start", "results_discussions", "figure_or_table"]}
+{"cleaned_text": "BPJS administers 5 programs: Employment Injury Insurance Program (EII), Death Benefit Program (DB), OldAge Benefit Program (OAB), Pension Benefit Program (PB), and Unemployment Insurance Program (UI). The Law No. 24 of 2011 on Social Security Organizing Bodies regulates the obligation of companies to provide social security to workers by enrolling them in the BPJS Andika, Septa Bagaskara Ketenagakerjaan program. The law also specifies the registration procedures and requirements for employers and workers. Additionally, detailed registration procedures are outlined in derivative regulations. According to the BPJS Ketenagakerjaan law, companies with 10 or more employees or a total monthly wage payment of IDR 1 million must enroll every worker in the BPJS Ketenagakerjaan program. The payment of BPJS Ketenagakerjaan contributions for employees is the responsibility of the company . Based on BPS (Statistics Indonesia) publication in November 2021, the workforce in August 2021 was 140.15 million people, an increase of 1.93 million from August 2020. The percentage of workers in the informal sector was 59.45%, totaling 77.91 million people, a decrease of 1.02% from August 2020. The open unemployment rate in August 2021 was 6.49%, a decrease from 7.07% in August 2020. In light of economic growth, BPJAMSOSTEK (now BPJS Ketenagakerjaan) was tasked by the government to protect 70 million active participants by 2026. To achieve this target, BPJAMSOSTEK formulated a strategy: New UShield to increase participant acquisition. The responsibility of BPJS Ketenagakerjaan in providing protection to workers is significant. This is the responsibility of the state, regulated through several laws, namely Law Number 40 of 2004 concerning the National Social Security System (SJSN), Law Number 24 of 2011 concerning Social Security Organizing Bodies (BPJS), and Presidential Regulation Number 25 of 2020 concerning the Governance of Social Security Organizing Bodies. All these regulations provide a clear mandate to BPJS Ketenagakerjaan to implement employment social security with the aim of realizing welfare and enhancing the competitiveness and productivity of workers . BPJS Ketenagakerjaan must ensure that participants feel secure about the protection benefits provided when they are actively working or when they are no longer productive, along with their families. Additionally, efforts to expand participation are a focus, even though the country is not entirely welfare-based, with the hope that every worker, whether formally or informally employed, can become a participant in BPJS Ketenagakerjaan with the right to social protection. To achieve protection for 70 million workers by 2026, a significant challenge faced by BPJS Ketenagakerjaan lies in a stronger marketing strategy to optimize membership expansion . Marketing strategy refers to the description of how a brand or product achieves its goals. According to Ulyah, , marketing strategy is a series of marketing programs designed to dominate and retain target market segments. This can be understood as the primary instrument applied by a company to achieve its goals. Marketing strategy determines the components of the marketing mix. The marketing mix is a marketing tool used by companies to reach their target markets, including price, promotion, distribution, and product. Thus, the marketing mix can be considered as marketing elements managed by the company to achieve its goals in the target market, consisting of the \"4P\" concept . The goal of companies in marketing strategy is to influence consumers to choose and purchase products or services offered by the company when consumers", "deleted_count": 12, "triggered_rules": ["trim_garbage_start", "remove_citations", "url_or_doi", "chapter_titles"]}
+{"cleaned_text": "The marketing mix is a marketing tool used by companies to reach their target markets, including price, promotion, distribution, and product. Thus, the marketing mix can be considered as marketing elements managed by the company to achieve its goals in the target market, consisting of the \"4P\" concept . The goal of companies in marketing strategy is to influence consumers to choose and purchase products or services offered by the company when consumers need them . Before engaging in marketing activities, companies must understand consumer : Consumer satisfaction is only achieved when consumers are satisfied with the services they receive . Consumer satisfaction is the emotional state felt by customers after comparing what they receive with their expectations . Assessing customer satisfaction and raising their expectations can result in loyal customers. If what consumers receive is in line with expectations, then they will feel satisfied (Sumartini & Tias, Source: BPJS Ketenagakerjaan is an institution that organizes labor social security programs established by the Indonesian government. BPJS Ketenagakerjaan has an important role in providing social protection for workers in Indonesia. Currently, BPJS Ketenagakerjaan has no direct competitors because it is the only institution that provides social security programs for workers in Indonesia. Therefore, BPJS Ketenagakerjaan is the main choice for companies and workers to fulfill social obligations and protect themselves from risks that may occur in the workplace. In an effort to achieve this goal, BPJS Employment implements Strategy 345 to the level of pioneer branch offices. Strategy 345 is an approach designed to achieve three main strategies in BPJS Ketenagakerjaan, 4 focuses on using 5 engines to increase the sustainable growth of informal &; small and micro scale workers depicted in the following graph: Company Goals Product The value of the product to consumers Needs and wants Consumer expectations of the product Consumer satisfaction level Andika, Septa Bagaskara In, the 345 strategy is depicted as the target for the year, using an approach that incorporates three main strategies: retention, intensification, and extension, with the goal of achieving specific targets, including the number of new participants, the number of active participants, and the total collected contributions, as outlined below: Retention is the company's ability to maintain its resources to sustain loyalty to the services provided. In the BPJS Employment system, this strategy focuses on retaining the number of participants already involved to keep them active in existing programs. In this strategy, BPJS Employment provides social security for workers, which is protection for workers in the form of financial benefits as a substitute for lost or reduced income and services due to events or conditions experienced by workers, such as work accidents, old age, and death. Intensification is an effort to increase results or make something more intense in its implementation . In the intensification strategy, efforts are made to increase the involvement and contribution of registered participants by expanding the services or benefits provided to them. Extension is an effort used to improve the results of a program that has been implemented . The focus of the extension carried out by BPJS Employment is to attract more new participants to join the offered program. This strategy has specific targets, including obtaining 30.4 million new participants, increasing the number of active participants to 46.35 million, and achieving a total contribution of Rp96.09 trillion. The strategy focuses efforts on four specific areas: village ecosystems, market ecosystems, e-commerce & SMEs, and vulnerable workers. To support these efforts, five engines are utilized: agency system, figures, supply chain, auto-debit, and compliance & positive supervision. These engines play a crucial role in realizing the formulated strategies, involving various aspects such as management, distribution networks, partnerships, and strict monitoring and supervision to ensure that the program runs according to the set targets and rules. The implementation of the 345 strategy is carried out in all business sectors in Indonesia. BPJS Employment has various strategies for the Small and Medium Enterprises", "deleted_count": 22, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles", "figure_or_table", "url_or_doi", "fig_table_ref"]}
+{"cleaned_text": "These engines play a crucial role in realizing the formulated strategies, involving various aspects such as management, distribution networks, partnerships, and strict monitoring and supervision to ensure that the program runs according to the set targets and rules. The implementation of the 345 strategy is carried out in all business sectors in Indonesia. BPJS Employment has various strategies for the Small and Medium Enterprises (SME) program, Non-Wage Recipients (BPU) program, and the Agency Program, outlined as follows: 1) SME The 345 strategy implemented by BPJS Employment aims to expand participant coverage, especially for Small and Medium Enterprises (SME), using various approaches, one of which is targeting SMEs through various channels such as traditional markets, e-commerce platforms, cooperatives, and franchises. BPJS Employment for SMEs ensures that employees will receive benefits when risks occur while working. This approach involves cooperation and collaboration with relevant parties to expand the reach of BPJS Employment programs, including: a. Partnering with traditional market managers, BPJS Employment can leverage market access and the business network of market entrepreneurs to introduce programs and recruit new participants from SMEs operating in traditional markets. b. Collaboration with franchise owners can also be an effective channel to reach SMEs. Through agreements with franchises, BPJS Employment can offer this program to business owners within the franchise business network. c. Involvement with the Central Statistics Agency (BPS) also has its benefits, as BPS has enumerator networks that can be used for data collection and direct approaches to SMEs registered in the BPS database. 2) BPU Strategies for Non-Wage Recipient (BPU) segment participants initiated by BPJS Employment include several programs: People's Business Credit (KUR), Smart Agent, INCLUDE, and Reactivation & PRS, outlined as follows: a. People's Business Credit (KUR): This is a collaboration between BPJS Employment and the Coordinating Ministry for Economic Affairs. The program aims to provide social security coverage for workers who need financial support, especially in the micro, small, and medium-sized business sectors. b. Smart Agent: Refers to partnerships between BPJS Employment and various financial institutions such as BNI 46, Pegadaian, Pos Indonesia, and Brilink. This partnership allows these financial institutions to become agents assisting in providing BPJS Employment services to participants or potential participants. c. INCLUDE Program: With the slogan \"Prosper Workers Around You,\" allows BPJS participants to register individuals around them who are not yet participants in BPJS Employment, such as gardeners, security guards, household assistants, and others. d. Reactivation & PRS: Refers to efforts to reactivate membership for BPU workers who were previously inactive, perhaps due to forgetting to pay contributions or other reasons. This program is also included in the retention strategy, where BPJS Employment reminds and encourages participants to become active members again. 3) Agency Program a. PERISAI: BPJS Employment can collaborate with various entities or institutions in expanding the membership network. For example, BPJS Employment can collaborate with professional associations or industry groups to expand information and membership services, as well as facilitate more extensive and effective agency registration. b. Utilizing Fintech: BPJS Employment can use financial technology (Fintech) and collaborate with financing institutions to streamline payment processes and Andika, Septa Bagaskara membership management. For example, BPJS Employment can offer payment options through popular Fintech platforms within corporations, providing convenience and incentives for companies to register their workers as BPJS Employment participants. In the implementation of the 345 strategy, although there is consistency in knowledge about strategies and goals across the organization, the implementation of this strategy in each region cannot be done with a uniform approach because each region has different characteristics and approaches. The uniqueness and differences of each region require a tailored approach to face specific challenges in each region. Additionally, the absence of detailed technical instructions in implementing the strategy at each branch has resulted in suboptimal explanation of strategy activities (cascading). Furthermore, the priority of strategy execution in each branch is not clearly focused, which can disrupt the overall strategy implementation. Efforts to address these issues include several recommendations: There is a need for monitoring and execution systems for each ecosystem controlled by specific and focused responsible parties. BPJS Employment needs to have a monitoring system focused on each operational region. Responsible parties in each region need to focus on participant segments and issues in their area. For example, in a particular region, membership issues might be more dominant, while in another region, service issues or participant satisfaction may need to be focused.", "deleted_count": 5, "triggered_rules": ["trim_garbage_start", "url_or_doi", "chapter_titles"]}
+{"cleaned_text": "Ecosystem Focusing There is a need for monitoring and execution systems for each ecosystem controlled by specific and focused responsible parties. BPJS Employment needs to have a monitoring system focused on each operational region. Responsible parties in each region need to focus on participant segments and issues in their area. For example, in a particular region, membership issues might be more dominant, while in another region, service issues or participant satisfaction may need to be focused. For strengthening sales functions, gradually directing each salesperson to sell all products to all market segments. BPJS Employment needs to train its employees, including salespeople, to have broader knowledge and capabilities in selling various social security products. This will enable them to sell products to all market segments and not be limited to one specific product or segment. Providing a channel for innovative ideas and program sales proposals from regions according to local wisdom. BPJS Employment needs to open communication channels to receive innovative ideas from various regions, according to the needs of each local region. For example, ideas from a particular region can be used as a model or inspiration to increase participation in other regions. A special program is needed for the education process and approaches to positive retention, especially among BPU. A special program needs to be developed for positive retention, especially among non-wage workers (BPU). Steps in this program might include education about the benefits of social security, a personal approach in service, and providing easily understandable information about the importance of membership for them. All of these recommendations are aimed at increasing participation, participant satisfaction, and strategies to ensure the benefits of BPJS Employment social security reach all layers of society, including those who are usually difficult to reach. Strategy 345 implemented is an effective approach to increase participation through special programs and agencies that have three main strategies, namely retention, intensification, and extensification. This strategy focuses on four main aspects, namely village ecosystems, market ecosystems, e-commerce & SMEs, and vulnerable workers, which are assisted by five main engines, namely agency systems, figures, supply chains, autodebit, and positive compliance and supervision. Through the implementation of this strategy, it is hoped Program (EII), Death Benefit Program (DB), Old-Age Benefit Program (OAB), Pension Benefit Program (PB), and Unemployment Insurance Program (UI). Thus, this strategy facilitates access for workers to become participants in the BPJS Employment program and increases participation coverage.", "deleted_count": 6, "triggered_rules": ["trim_garbage_start", "results_discussions", "chapter_titles"]}
+{"cleaned_text": "In Sydney, the hotspots occurred in a wide arc of forest surrounding the city from north, west, and south. Major, damaging fires occurred in the 2002/3 and 2006/7 fire seasons. A fire rose diagram for unweighted hotspots (showing the number of hotspots in each 10u compass sector, centred on the pollution monitor) is dominated by the fires that burnt the Australian Alps and Canberra in January 2003 (300–500 km to the south-west of Sydney). The distance-weighted fire rose shows a much more even spread of fire directions, with the fires from 2002/3 and 2006/7 prominent, but with fires from land in all directions. In Perth, hotspots were more dispersed than in Sydney and the fires were smaller. Consequently, the fire roses were similar for the weighted and unweighted distances . Notice the occurrence of hotspots in the direction of the ocean for Sydney, which is due to the inland position of the pollution monitor. In Sydney, the explanatory power of Lag FRP decreased with the length of the lag: r2 decreased from 0.17 for the current day to (0.19). Perth showed a similar pattern, with the Combined FRP with 1 day lag giving the best explanatory power, though this was low (r2 = 0.84,. For both cities, the best FRP variable to use for modelling is the current day + previous day (FRP01). Analyses on the radius of influence showed a peak in explanatory power at 100 km for Sydney (r2 = 0.24,. The peak for Perth was at 400 km with a lower explanatory power (r2 = 0.08). None of the log-transformations improved the fit of the relationships. There were 69 exceedance events for PM2.5 in Sydney, of which 52% lasted a single day. Only four events lasted four days or more . The two longest events were associated with major fire events in the Sydney region (Christmas 2001 fires and early December 2002). Two other four-day events were both during winter, and were not verified fire events (11th July 2002 and 7th June 2005). In Perth, there were more events with shorter durations (n = 80, 75% lasted a single day), and only two lasted four days. These were both in May (26th May 2004 and 9th May 2006), and were not verified fire events. The exceedances in FRP showed similar patterns to the PM2.5 and similar differences between the cities. In Sydney there were 48 events, of which 54% lasted a single day, but ten lasted four days or more. In Perth there were 75 events, of which 75% lasted a single day, and only three were four days or more. The best statistical model for Sydney included positive effects for FRP01, FFDI, C-Haines, PMlag and with on-shore winds and a negative effect of wind-speed. PM25lag had the strongest effect (see the importance value,, followed by FRP01. There were also negative interactions between FRP01 and wind- speed,and FRP01 and PM25lag, but these were weak effects ,. The model explained 56% of variance in PM2.5 (r2 = 0.562) and there were no supported alternatives. When the analysis was repeated without PM25lag, the final model was similar, but explained 45% of variation. Using log(PM2.5) as the dependent variable or including all days also resulted in similar models and explanatory power (r2 = 0.561, 0.569 respectively", "deleted_count": 12, "triggered_rules": ["trim_garbage_start", "fig_table_ref", "chapter_titles"]}
+{"cleaned_text": "When the analysis was repeated without PM25lag, the final model was similar, but explained 45% of variation. Using log(PM2.5) as the dependent variable or including all days also resulted in similar models and explanatory power (r2 = 0.561, 0.569 respectively). Using the log of FRP as a predictor variable gave weaker results than the untransformed FRP variables. The best model for Perth was similar to Sydney, but explained less variation (r2 = 0.310,. There were positive effects of FFDI, C-Haines and PM25lag and on-shore wind and a negative effect of wind speed. The FRP01 effect was weak, and there was an interaction between FRP01 and C-Haines, which meant that FRP had a positive relationship with PM2.5 which became slightly negative when the C-Haines index was less than 1.3 (on about 31% of days). There were no supported alternative models. PM25lag was the most important variable, followed by C-Haines. Without PM25lag, the best model explained only 19% of variance. Using log(PM2.5) as the dependent variable, including all days, or using log of FRP as the predictor variable all resulted in similar models with slightly lower explanatory power (r2 = 0.294, 0.308, There were 54 validated bushfire events in Sydney with matching PM2.5 peaks, and 74% of these corresponded with peaks in the raw FRP01 value and 61% corresponded with peaks in the model predictions. For Perth there were 23 events and 35% corresponded with the raw FRP01 and 43% with the model predictions. We have demonstrated that there is a relationship between fire activity detectable from satellites and pollution in urban centres. Moreover, there are windows of spatial and temporal influence of Predicting Smoke Pollution from MODIS Hotspots PLOS ONE | www.plosone.org October 2012 | Volume 7 | Issue 10 | e4 fire activity on pollution. For Sydney, the radius of influence is relatively small (100 km) and the relationship is strong, while for Perth the radius is much larger (400 km) and the relationship is weak. The explanatory power of the models was improved by including weather and pollution history variables, to the extent that more than half of the variance in pollution could be explained for Sydney. The weather relationships revealed higher pollution when the atmosphere was stable, when wind speed was low and when the wind in the upper atmosphere was blowing on-shore. Importantly, wind flow from the fires to the monitor was not present in the models. This is presumably because on-shore winds that trap in-situ pollution in the city basins are more important to the overall level of pollution than winds transporting smoke from bushfires, even if days without fire activity are excluded. This trapping effect is probably why stable air and low wind speed also lead to more pollution. The differences between the cities have a logical explanation. Sydney is bounded on three sides by extensive forests (approxi- mately 20,000 km2) at a distance of about 100 km. Beyond this is an extensive agricultural belt with very little fire activity. The mean area burnt in these forests is approximately 5% per year, of which more than 80% is unplanned fire [20]. Generally, the wind associated with bushfire events blows from an arc between northwest and southwest, and so blows smoke into the city. The forests around Perth are much more scattered, comprising small patches spread across a larger region. A higher proportion of the forests are burnt each year (8.5%) [19], but the regime is dominated by prescribed fires (7% compared to 1.5% for Predicting Smoke Pollution from MODIS Hotspots PLOS ONE | www.plosone.org October 2012 | Volume 7 | Issue 10 | e4 unplanned fire). The closeness of the forests and the more extensive unplanned fire", "deleted_count": 5, "triggered_rules": ["trim_garbage_start", "results_discussions", "fig_table_ref", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "The scale is in FRP units. Predicting Smoke Pollution from MODIS Hotspots PLOS ONE | www.plosone.org October 2012 | Volume 7 | Issue 10 | e4 unplanned fire). The closeness of the forests and the more extensive unplanned fire explain why the model has a smaller radius and better goodness of fit for Sydney than for Perth. These differences between cities mean that a forecast tool must be based on a model specific to each city. Our empirical modelling method shows some potential for developing a forecasting tool for bushfire planning. For both cities, the best single predictor of daily pollution is the previous day’s pollution, which may be of use to health authorities. Nevertheless, the FRP and weather variables also contribute substantially to the predictive power. For Sydney, the predictive model explained most of the variation in pollution and three quarters of the known bushfire caused pollution days were identified as peaks in the FRP data. For Perth, the previous days FRP is actually a better predictor than the current day, albeit with low predictive power. Our method may be more efficient and accurate for identifying Sydney and Perth. Radius (km) Sydney r2 Perth r2 Predicting Smoke Pollution from MODIS Hotspots PLOS ONE | www.plosone.org October 2012 | Volume 7 | Issue 10 | e4 historical fires than other methods available that require laborious searches of print media and government reports [43]. Improvements could be made to the forecasting ability by addressing some of the limitations of the data. The most important of these is the lack of identification of non-bushfire sources of Predicting Smoke Pollution from MODIS Hotspots PLOS ONE | www.plosone.org October 2012 | Volume 7 | Issue 10 | e4 pollution, since these are the principle driver of pollution levels on most days. Pollution from these sources also varies and our analysis suggests that they respond to weather conditions, perhaps more than smoke does. If non-smoke pollution days could be filtered from the data then the accuracy of the models would be greatly increased. A more explicit representation of atmospheric transport such as a two or three-dimensional wind-field between the source and monitor would also improve the relationship. Many fires, especially larger ones, inject smoke high into the atmosphere which may reduce pollution on the ground [44]. Since there is actually a relationship between FRP and injection height [44], this effect could be directly incorporated into a predictive model and may be more successful than the use of an atmospheric stability index such as C-Haines. Ultimately, a hybrid model using daily snapshots of FRP and a three-dimensional atmospheric transport model may be the most fruitful approach. There are other limitations that affect the accuracy of the models. The raw FRP values used here do not account for differences in vegetation type. Vegetation correction factors have been applied elsewhere to FRP values [37], but none have been", "deleted_count": 8, "triggered_rules": ["trim_garbage_start", "url_or_doi", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "Ultimately, a hybrid model using daily snapshots of FRP and a three-dimensional atmospheric transport model may be the most fruitful approach. There are other limitations that affect the accuracy of the models. The raw FRP values used here do not account for differences in vegetation type. Vegetation correction factors have been applied elsewhere to FRP values [37], but none have been developed for Australia. The episodic nature of major bushfire events means that the six year time series used here only captured a small number of events (54 events reported in the media for Sydney and 23 for Perth), and these varied greatly in magnitude. The analysis would be improved with a longer time series. Sydney experiences extreme fire seasons (where .10% of the forest area burns) between once and twice per decade [20], so it may be that several decades of data are required to determine the nature of the relationship between FRP and pollution levels. Our results are also relevant to the debate over the appropriate level of prescribed fire treatment. Prescribed fire is imposed as a means of reducing the area and impact of wildfire, and has been suggested as one means of preventing increased wildfire activity due to climate change. However, in many Australian landscapes several hectares of prescribed fire are required to reduce the area of wildfire by one hectare. For example, around Sydney 3–4 ha of prescribed fire are required per hectare reduction in wildfire area [20,45], and the forests around Perth, 6 ha are required [19]. However, prescribed fires consume less biomass per hectare than wildfires because they are more patchy [46], are usually confined to the surface fuels and leave larger proportion of fuel unburned. It has been shown for Southern Australia that smoke plumes from prescribed fires blow over cities, though on average these are five times smaller than plumes from wildfires [21]. Further examina- tion of the contribution of prescribed and wildfires to smoke is needed before the likely impact of increased prescribed burning could be accurately predicted. In conclusion, this study has identified a clear relationship between remotely sensed fire activity and pollution levels in two Australian cities. It has also identified the distance over which fires tend to supply smoke to the cities, and some of the challenges to developing a useful operational tool. With some improvements, models developed using this method could become useful in many fire-prone regions around the world for forecasting smoke pollution. They may be used as an adjunct to smoke-plume modelling or may eventually prove to be more useful. Even as they are now, the method can be used for rapid retrospective identification of bushfire pollution days, in contrast to the labour intensive methods used by Johnston et al. [36]. With further separation of FRP into wild and prescribed fires, our approach could also provide a new tool for understanding the comparative smoke pollution exposure to humans from fires of both types.", "deleted_count": 1, "triggered_rules": ["trim_garbage_start"]}
+{"cleaned_text": "After the results from the characterization of the spent FCCC (Section 3.1), the extraction yields for La, Ce, Al, and Si are reported in Section 3.2, whereas in Section 3.3, the zeolite obtained from the synthesis procedure is fully characterized. Several economic indexes (NPV, DPBT, IRR, GMR, and ROI) are proposed in Section 3.4 regarding the baseline scenario. In addition, Section 3.5 investigates the variation of these indexes in function of critical variables. The concentration of the main elements is shown in. It underlines that the total concentration of REs is rather low. Concentration (%wt) Na Al Si P Ti V Fe Ni La Ce XRF ICP-OES The XRD analysis showed that the most probable compounds are dealuminated zeolite Na-Y, that is the main crystalline phase, followed by other minor phases, like zeolite ZSM-5 and alumina. Regarding the BET analysis, the SSA was around 112 m2/g, a bit lower than the area of a fresh FCCC, which is usually in the range 120–180 m2/g. The PSD was a Gaussian curve centered at 80.4 µm, with a Sauter’s diameter D [2,3] equal to 73.6 µm. The extraction yields of the main elements as a function of reaction time are listed in; such yields are reported as medium values and standard deviation. Sample Extraction Yield (%) Ce La Si Al H2SO4 1 h H2SO4 2 h H2SO4 3 h Hence, the best extraction yields for La and Ce were obtained after 3 h. The extraction of Si was lower than 2%, but such element is present as colloidal silica that, once the solution cools down, makes the filtration difficult. For this reason, the following filtration and precipitation shall be carried out with warm solution. The extraction of Al was low as well, but the concentration in leach liquor was not negligible. The initial pH of solution was 0.45 and NaOH was added to increase the pH to La2(SO4)3 + 2 Na+ + SO42- + 2 H2O →2 NaLa(SO4)2·H2O Ce2(SO4)3 + 2 Na+ + SO42- +2 H2O →2 NaCe(SO4)2·H2O This precipitation mechanism as double sulfate salt is also caused by the addition of Na2SO4 instead of NaOH [17]. The solubility of NaRE(SO4)2·H2O in water (in particular, for Ce, La, Pr, Nd, Pm, Sm, Eu, Sc) is very low and it decreases with the increase of temperature [18]. After cooling down, the white salt was filtered, washed with distilled water and dried at 105 ◦C for 24 h, and thus used for the analysis. The results of ICP-OES showed the following element concentration: La 36.54%, Ce 2.87%, Na 2.88%, Al 6.14%, and Si 0.7% by weight. The rest is mainly water, oxygen, and sulphur. The XRD analysis indicated that the RE precipitate was mainly composed of NaLa(SO4)2·xH2O and NaCe(SO4)2·xH2O, but Al2SO4 and small amount of Al(OH)3 cannot be excluded. The XRD spectrum of the RE salt was indeed not crystalline and characterized by large and not well-defined peaks. This RE concentrate shall be leached again and La be separated from Ce by solvent extraction. Hence, the precipitated salt can be sold to companies with expertise in separation and refining of REEs like Rhodia (France), Umicore (Belgium) or Sol", "deleted_count": 8, "triggered_rules": ["trim_garbage_start", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "The XRD spectrum of the RE salt was indeed not crystalline and characterized by large and not well-defined peaks. This RE concentrate shall be leached again and La be separated from Ce by solvent extraction. Hence, the precipitated salt can be sold to companies with expertise in separation and refining of REEs like Rhodia (France), Umicore (Belgium) or Solvay (Belgium). After the synthesis procedure that is described in Section 2.5, the zeolite from the acid leaching was fully characterized. In particular, the SSA was 83.2 m2/g, whereas the BJH cumulative average pore volume was 0.062 cm3/g with an average pore size of 3 nm. Spent E-cat and synthetic zeolite obtained from the hydrothermal procedure are shown in. The XRD spectrum of the latter is shown in, whereas proposes a SEM picture of the same zeolite. The zeolite is light brown in color, whereas the spent E-cat is grey. The main phase detected in the zeolite was Na-A, with formula Na12Al12Si12O48·27H2O. Small percentages of dehydrated zeolite Na-X (Na92Al92Si100O384) and Cl-free sodalite (Na8Al6Si6O24), another aluminosilicate mineral, were also present: this means that the conversion to phase-A was not complete. The zeolite Na-A presents a cubic crystalline system with the lattice parameters a = b = c = 24.61 Å and α = β = γ = 90◦. The presence of high crystallinity was demonstrated by the high intensity of the peaks. Na-A is the major constituent phase (around 91%wt) and spheroidal aggregates of remaining sodalite and Na-X phase. shows the composition of the main elements of the zeolite that was obtained from the residue of the sulfuric acid leaching. Concentration (%wt) Na Al Si P Ti V Fe Ni La Ce Zeo-H2SO4 Although this analysis is not as accurate as ICP, especially for light elements, like Na and Al, it gives an indication about the Si/Al ratio: hence, from the XRF analysis, it can be inferred that this is a low silica synthetic zeolite. The description of the technical aspects was already elaborated and in this phase of the work, the economic analysis is developed. There is a clear relationship between two perspectives. The simulation software quantifies the several amounts of resources that were employed in the process and some economic results (GMR, ROI) are obtained directly by this software, while other results (NPV, DPBT, IRR) are elaborated through Excel programme—. Acronym Item Value Measure A Total investment B Zeolite C Other revenues Revenues E Raw Materials F Waste Treatment/Disposal Operative costs Gross profit I Depreciation (10 years) Taxable income (1–10 years) Taxable income (11–15 years) L Tax percentage % m = f (j,l) Taxes Taxes Net Profit (1–10 years)", "deleted_count": 26, "triggered_rules": ["trim_garbage_start", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "In fact, the evaluation of this typology of investment firstly considers the environmental advantages derived from the recovery of these wastes and at the same time the achievement of environmental goals set by the European Union (COM 490 final). The following step is represented by the economic study. NPV quantifies the amount of potential profits when considering the lifetime of the project. The value obtained is extremely relevant: it is equal to 2170 k€. NPV is a realistic metric for decision makers because the DCF method is based on two relevant aspects: (i) the time value of the money and (ii) the lifetime of the project. The distribution of cash flows permits to understand this result. From the revenues side, the recovery of zeolite plays a key role. Its weight is equal to about three quarters (77%). The price of RE oxides is greater than that of zeolite, but the amount of materials recovered in this waste is extremely lower (about 5%). It is opportune to underline as the REO concentrate represents the lowest value among the three revenues of the plant. This confirms that the recovery of REEs from spent E-cat is unprofitable, even if they would be separated and recovered with 99.9% grade. The use of raw materials (29%) and the phases linked to the waste treatment and/or disposal (26%) are the main items of costs. Instead, the share of investment costs is not relevant (8%). The main item of the materials cost is due to NaOH, used in solution for precipitation of La and Ce, as well as for hydrothermal treatment, E-cat collection (disposal fee) RE oxides Zeolite Revenues Other Labor dependent Investment Utilities Facility dependent Waste treatment Raw materials Costs DPBT is coherent with the result of NPV. A cut-off period is not fixed in this work but certainly the result is positive, since those cash flows allow the re-entering from the investment already at the end of the second year. This depends on three elements: (i) the positive value of gross profit, (ii) the application of third-party funds that distribute the investment cost over the years of loan, and (iii) the share of investment costs is lower than the operative ones. Finally, also IRR defines the profitability of this project. A possible concern for users of the IRR method is when the discount rate of a project is unknown, but in this case, it is significantly greater than the cost opportunity of capital. The analysis of cash flows underlines the presence of a single change of sign (it is negative during the year zero and it is positive in", "deleted_count": 4, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "Finally, also IRR defines the profitability of this project. A possible concern for users of the IRR method is when the discount rate of a project is unknown, but in this case, it is significantly greater than the cost opportunity of capital. The analysis of cash flows underlines the presence of a single change of sign (it is negative during the year zero and it is positive in the following years due to the gross profit). For this reason, the possible issue of multiple values of IRR is not verified. NPV, DPBT, and IRR measure the profitability of a project, while other two indexes (GMR, ROI) are referred only to a single year of activity. It is linear with the role of balance sheet that characterizes the world of firms. Useful indications are provided, but these indexes are more appropriate for other scopes as: (i) a comparison with the value of benchmarking of the sector; (ii) a comparison with other firms employed in the same sector; (iii) a monitoring to measure the performance of a company over time; and, (iv) for the purposes of the regulatory rules. Gross profit is the difference between the annual revenues and the annual operating costs. Gross margin is the direct percentage of profit in the sale price. Its positive value is determined Net Profit also considers the profit tax and the depreciation in comparison to the gross profit. ROI determines how a purchase is profitable. Its positive value is determined by the positive value of net profit. ROI and GMR are two metrics that give different information. For example, if money is invested in a project, ROI measures the result of the added investment. Instead, GMR indicates whether revenues are going up faster than costs. The aim of this sub-section is to give solidity to economic results obtained in the baseline scenario. In fact, they are based on the assumption of a set of input parameters. Hence, a variance of the expected results could occur. This issue can be overcome by implementing a sensitivity analysis on the critical variables [38]. The choice of critical variables is linked to the results proposed in regarding the main items that characterize the cash flows. A pessimistic and an optimistic scenario are evaluated for each critical variable and a variation of ± 20% is applied. • The zeolite has a weight equal to four-fifths of discounted cash inflows. Its price of reference is equal to 1150 €/ton. The potential values of 920 €/ton and 1380 €/ton are hypothesized in alternative scenarios. • Raw materials have a weight equal to one-third of discounted cash outflows. In particular, the net cost of NaOH (50% w/w) covers 35.7% of this cost, followed by the net cost of sulfuric acid with the 30%. NaOH 50% sol. has a baseline value of 150 €/ton and alternative values of 120 €/ton and 180 €/ton are proposed. Instead, 96%wt H2SO4 when considering its recycling has a value of reference of 100 €/ton and potential alternative values are 80 €/ton and 120 €/ton. • Waste treatment/disposal have a weight slightly lower than raw materials (−3.5%). In particular, liquid waste disposal covers 56.9% of this cost and the remaining share is linked to the solid one. The difference is not significant and both variables are analysed. Solid waste has a baseline value of 130 €/ton and alternative values of 104 €/ton and 156 €/ton are hypothesized. Regarding liquid waste, instead, 120 €/ton is the baseline value and 96 €/ton and 144 €/ton are the alternative values. • A macro-variable of all cash flows is represented by the cost opportunity of capital. This variable measures the return coming from an alternative project, which has the same risk level. It is hypothesized to equal 5%. In this case, four scenarios are assessed with values varying from 3% up to 7%. The presentation of six critical variables has determined the elaboration of fourteen alternative case studies. Several indexes change", "deleted_count": 5, "triggered_rules": ["trim_garbage_start", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "This variable measures the return coming from an alternative project, which has the same risk level. It is hypothesized to equal 5%. In this case, four scenarios are assessed with values varying from 3% up to 7%. The presentation of six critical variables has determined the elaboration of fourteen alternative case studies. Several indexes change in function of both variables regarding revenues and costs——while cost opportunity of capital does not modify the value of balance sheet (GMR and ROI) and at the same time the value of IRR is constant (baseline value equal to 56.7% is always greater than values examined in this work)—. Index Measure k€ % years Baseline Price of zeolite Net cost of NaOH (50% w/w) Net cost of H2SO4 96%wt Costsolidwaste Costliquidwaste Cost opportunity of capital NPV (k€) Cost opportunity of capital DPBT (years) Economic losses are obtained in only one scenario (price of zeolite equal to 920 €/ton). In this situation, it is opportune to elaborate a BEP analysis. It defines the value of the price of zeolite from which a null value of NPV is obtained—. Price of zeolite NPV (k€) BEP underlines that the profitability of this project is strictly linked to the price of zeolite. In the baseline scenario, a consistent profit is obtained (equal to 2170 k€), but in a pessimistic scenario, a relevant economic loss is reached (equal to −4942 k€). From a mathematical point of view, the price of zeolite that characterizes NPV = 0 is contained in the range from 920 €/ton to 1150 €/ton. The high level of accuracy of this analysis defines the value of 1070 €/ton that is close to the baseline value and it is lower than 7%. The other critical variables, instead, do not modify the profitability of the project. In fact, NPV presents its lower value (equal to 1100 k€) when the cost of the liquid waste is 144 €/ton. In this same scenario, DPBT is equal to four years that is, however, a reasonable value for investors. It remains fixed equal to two years when the cost opportunity of capital is modified. NPV increased by 18% if the cost opportunity of capital is equal to 3%, while it decreased by 15% when this variable is equal to 7%. DPBT in other scenarios varies from two years to three years. There is a particular situation, only when the price of zeolite is modified. The investment is recovered already after one year if the price of zeolite is fixed to 1380 €/ton, while the value >15 indicates that during the lifetime of the project, the value of discounted cash inflows never will be match one of discounted cash outflows. In this scenario, IRR cannot be calculated, since all cash flows are always negative (n.d. acronym stands for “not definable”). In other scenarios, the minimum value is equal to 34.1%, which is significantly greater than the cost opportunity of capital used in this analysis. GMR proposes a comparison between revenues and operating costs. Such an index is positive, even in the worst scenario (equal to 0.4%). In fact, the value of annual revenues is greater than the operating costs, but, when also considering investment costs, the profitability is not accomplished. This demonstrates as this index has a great", "deleted_count": 23, "triggered_rules": ["trim_garbage_start", "results_discussions", "regex_table_soup", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "GMR proposes a comparison between revenues and operating costs. Such an index is positive, even in the worst scenario (equal to 0.4%). In fact, the value of annual revenues is greater than the operating costs, but, when also considering investment costs, the profitability is not accomplished. This demonstrates as this index has a great limit. The value is significantly low, but it does not give any information on relevant data of a project (as cost opportunity of capital and lifetime of the project). The same is verified also for ROI. The concept of circular economy requires not only to preserve the environmental value through initiatives of recovery/recycling as those defined in this work, but also at the same time economic opportunities must be developed. The sole recovery of REEs from spent E-cat is absolutely unprofitable, so the production of zeolite plays a key-role. However, also the presence of a disposal fee is required to make recycling of spent E-cat profitable. In this direction, another alternative scenario can be evaluated considering the absence of a disposal fee. A BEP analysis is conducted on the price of zeolite—. Price of zeolite NPV (k€) Consequently, the zeolite has a key-role in the economic analysis, but in absence of disposal fee for E-cat collection, the profitability is significantly lower. The profitability is achieved with a price of the zeolite equal to 1305 €/ton without the disposal fee. Majority of zeolites are manufactured using alkaline and alkaline earth metals. The most common natural zeolites include analcime, chabazite, clinoptilolite, erionite, ferrierite, heulandite, laumontite, mordenite, and phillipsite. Natural and synthetic zeolites are most commonly used in various end-use industries, owing to various properties, including unique adsorption, molecular sieve, superior catalytic, and ion-exchange properties. Natural zeolites were the largest product segment, accounting for over 60% of the global market volume in Most common synthetic zeolites include types A, X, Y, and ZMS-5. The segment accounted for nearly 40% in 2014 and share is expected to increase by the end of 2022. Growing utilization of these zeolites in the petroleum industry, owing to its ability to purify gas streams, is expected to be the primary factor for the demand growth over the forecast period. The global zeolite market was valued at around USD 3.50 billion in 2014 and it is expected to reach USD 4.50 billion in 2020 and over 2000 ktons of zeolites produced worldwide, both natural and synthetic [39]. In this paper, a novel recycling process was developed for the full recycling of spent E-cat, also known as FCC catalyst. Lanthanum and cerium were recovered by a leaching stage with sulfuric acid solution, thus precipitated as RE sulphates with NaOH. The solid residue from the leaching stage is used for the synthesis of zeolite. The analysis demonstrated that zeolite Na-A is the most concentrated phase, and minor amounts of Na-X and sodalite are also present. Nevertheless, changing the synthesis conditions (amount of Na2CO3, roasting, and hydrothermal stage temperature and time) it could be possible to maximize the Na-A phase. This is the aim of the next experimental campaign. Spent sulfuric acid solution is regenerated by nanofiltration, and also most of", "deleted_count": 11, "triggered_rules": ["trim_garbage_start", "results_discussions", "fig_table_ref", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "The analysis demonstrated that zeolite Na-A is the most concentrated phase, and minor amounts of Na-X and sodalite are also present. Nevertheless, changing the synthesis conditions (amount of Na2CO3, roasting, and hydrothermal stage temperature and time) it could be possible to maximize the Na-A phase. This is the aim of the next experimental campaign. Spent sulfuric acid solution is regenerated by nanofiltration, and also most of the water is recycled back after treatment. The economic analysis demonstrated that the process is profitable if the solid residue from the leaching stage is used for production of zeolite; moreover, another important revenue of the plant is the disposal fee for the E-cat. The current metal market prices do not make the recovery of La and Ce profitable, as their concentration in spent E-cat is rather low. The baseline scenario is profitable and • The first concerns the price of zeolite, when such value is lower than 1070 €/ton in presence of the disposal fee for E-cat collection. • The second regards the price of zeolite when this value is lower than 1305 €/ton in the absence of the disposal fee for E-cat collection. The process and the relevant plant, thus, demonstrated a reliable and useful management of spent E-cat; although part of such catalyst is already used for the partial replacement of cement and mortar powders, powder in refractory materials and mineral woods, the majority of it is still landfilled. Hence, it is crucial to find the market for such synthetic zeolites, which have many industrial uses and could certainly reduce the consumption of natural zeolites that are mined worldwide and the amount of spent E-cat landfilled every year. Author Contributions: Conceptualization, F.F.; methodology, S.L. and I.D.M.; software, S.L.; validation, F.V.; investigation, F.F. and V.I.; data curation, V.I.; writing—original draft preparation, F.F. and I.D.; writing—review and editing, I.D.; visualization, I.D.M.; supervision, F.V. Funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sector. Acknowledgments: The authors would like to warmly thank Orim S.p.A., whose President Alfredo Mancini, MEng., and R&D Manager Fabio Maggiore, MEng, have supplied the FCCC sample and other precious background information. Moreover, our research group at the University of L’Aquila wants to dedicate such work to Orim’s former CEO Andrea Mancini, who prematurely passed away in 2017. We all remember his efforts and diligence in the recovery and recycling of industrial waste. Conflicts of Interest: The authors declare no conflict of interest.", "deleted_count": 2, "triggered_rules": ["trim_garbage_start", "chapter_titles"]}
+{"cleaned_text": "The validation of the mathematical connection between AOT and weather parameters has been established. The type of relationship between AOT and weather parameters can be direct or inverse. The assimilation of the fourteen years ground data set shows that some parameters like minimum temperature have been overtaken by the global climatic change. However, the sensitivity of this model was comparatively analyzed to be 0.1%. Hence, the south-west Nigeria aerosol activity may be the highest compared to northern Nigerian. Therefore more attention should placed on Lagos and Ogun state as its aerosol content may increase beyond control. Geophys. Res. Lett., Wang, Y. F., Fan, S., Feng, X., Yan, G. J., & Guan, Y. N. . Regularized inversion method for retrieval of aerosol particle size distribution function in W1,2 space. Applied Optics, 45(28), 7456-7467. Zhang, J. L., Reid, J. S., Westphal, D. L., Baker, N., & Hyer, E. J. . A system for operational aerosol optical depth data assimilation over global oceans. J. Geophys. Res., D10208, Copyrights Copyright for this article is retained by the author(s), with first publication rights granted to the journal. This is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (", "deleted_count": 7, "triggered_rules": ["trim_garbage_start", "remove_citations", "url_or_doi", "chapter_titles"]}
+{"cleaned_text": "The difference between the calculated and measured results can be explained by the peculiar properties and assumptions of the emission calculating models. The main evaluating parameters are the pressure and the ROHR curves, and the alignment between the experiment and the calculation is satisfying. The base case is a two-stage injection case (one pilot injection, one main injection), with the same settings as for diesel fuel by default. Type of SOI Pilot, CAD BTDC Pilot Injection Mass, mg SOI Main, CAD BTDC Main Injection Mass, mg NOx, ppm PM, mg/kg Fuel ∆p/∆ϕ, MPa/CAD Ai, % Experiment Base case The results of the investigation of the combustion process of biodiesel in an operating diesel engine are described below. A good alignment of the calculated and experiment pressure curves can be seen in. The area under the curves does not differ more than 3%. This parameter is used as an evaluation and characterizes the full cycle work. From the ROHR curve, displayed in, SOC can be detected. The difference in the SOC parameter for the pilot and the main injections between the calculation and the experiment results does not exceed 1 CAD. The difference in the ROHR for the pilot injection can be explained by the low sen- sitivity of the combustion model to low fuel injection mass. The difference between the square under the calculated and experiment ROHR curves (means AHR) does not exceed 5%. The maximum value of the ROHR for the main injection does not differ much for the experiment and calculated curves. It is important to note that both ROHR curves are calculated and that is because the main and the dominating criterion for the validation is the pressure curve as the measured The first and the second pilot injection masses were the same and equal to 14 mg/cycle as can be seen in, where the three-stage injection strategy is depicted. There were three constant SOI values chosen for the second pilot: 45 CAD BTDC, 19. and shown in, respectively. The first pilot (variable) is shown by red dashed line, the SOI range is from to with an increment of 5 CAD. The fuel mass for each injection is shown in and is constant. It is interesting to note that the authors in [38] investigated split injection strategies with varying pilot SOI (one pilot injection) in the range from to 15 CAD BTDC, and they did not notice a significant influence of the pilot SOI on the emissions. In the injection strategy for the second pilot SOI 19. is depicted (orange line). The dashed red line is chosen to mark the first pilot SOI variable and the range is the same as for the previous case. In the injection strategy for the second pilot (green line) is depicted in a similar way as for the two previous cases. The main SOI is depicted as a constant in. The colors for the second pilot injection correspond to the colors in The reference value for each parameter (base case value) is marked by a dashed red line. Each of three lines on the graph in correspond to the SOI of the second pilot (the values are shown in legend and on. An increase in indicated work retarding the fi", "deleted_count": 32, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "figure_or_table", "fig_table_ref", "chapter_titles"]}
+{"cleaned_text": "The reference value for each parameter (base case value) is marked by a dashed red line. Each of three lines on the graph in correspond to the SOI of the second pilot (the values are shown in legend and on. An increase in indicated work retarding the first pilot SOI can be seen. The base value of indicated work for the second pilot SOI is equal to and at the first pilot the SOI is equal to 10 CAD BTDC, but NOx emissions exceeded the base case level. This tendency can be seen for other fixed SOI values of the second pilot injection. The main purpose of the optimization was to decrease the NOx emissions, which strongly depend on the local temperature in CC, by retarding the pilot SOI. Advancing the SOI of the first pilot injection decreases NOx and increases PM emis- sions, as can be seen below in and 3. Advancing the first pilot SOI leads to an increase in the CO mole fraction and a decrease in AHR. This means that the combustion process becomes less efficient. It can be assumed that this is due to a relatively low efficiency evaporation process because of the low temperature and pressure values at the SOI. Moreover, advancing the first pilot SOI means the compression work increases. It is not possible to simultaneously decrease the emissions and increase the efficiency of the combustion process at any time during the first pilot SOI, or at least save the fuel efficiency at the base case level. 1-st Pilot SOI SOC, CAD CD, CAD EOC, CAD AHR, % CO, % Ai Acompr Base case 1-st Pilot SOI SOC, CAD CD, CAD EOC, CAD AHR, % CO, % Ai Acompr Base case On lower loads, the pilot injection mass is comparable to the main injection mass, hence the influence of the compression work on the indicated work should be much more significant. However, to analyze the reasons for the change of indicated work, it is necessary The three stage injection reduces the AHR and increases the CO mole fraction. This means that the use of fresh charge becomes less efficient with the addition of the second pilot injection and the advancement of the SOI of the first pilot. The indicated work increases when the SOI of the first pilot is retarded and becomes almost equal to the base case value despite an increasing CO mole fraction, combustion work, CD and a decreasing of the AHR. This can be explained by the earlier end of combustion (EOC) that causes decreased heat loss through exhaust gases and through the cooling system. The main parameters of CP for the case with the second pilot are described in. The combustion process is much more efficient with the increase in AHR and indicated work and the decrease in the CO mole fraction, CD, compression work with the SOI retarded. The EOC does not exceed the base case level. There are two main parameters which influence the indicated work: the compression work and the efficiency of the combustion process. The first parameter depends on the SOC and the amount of fuel–air mixture ready to burn, the premixed charge, and the quantity of the air–fuel mixture burned before TDC (AHR before TDC). The second depends on the parameters displayed in and 3. The ROHR for the second constant pilot SOI 19. is depicted in. The ROHR peak value decreases in the case of the", "deleted_count": 20, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "figure_or_table", "fig_table_ref", "chapter_titles"]}
+{"cleaned_text": "The second depends on the parameters displayed in and 3. The ROHR for the second constant pilot SOI 19. is depicted in. The ROHR peak value decreases in the case of the three-stage injection compared with the base case (two stage injection). The burning of the pilot injection fuel mass becomes smoother when the first pilot SOI is advanced. In the range from 705 CAD to 710 CAD we can see the burning of the premixed charge for the three-stage injection (two cases with two pilot injections and one main; the first pilot and and the second is fixed at 19. for both). In the range from 708 CAD to 710.5 CAD we can see the burning of the premixed charge for the base case and for the three-stage injection with the first pilot SOI 19. and the second pilot BTDC. In the last case, the burning of the pilot injection fuel mass is combined with burning the main injection fuel mass. The maximum value of the ROHR can be decreased with advanced injection timing and by adding the second pilot injection. Similar results have been described in the re- search [39] where the influence of multiple injections on the ROHR curve were investigated. The first pilot SOI was varied in the range from to with increments of 5 for three different constant values of the second pilot SOI, and there was no opportunity to reduce the emissions and increase or save on the base case level In an indicated work contour plot in dependence of the SOI for the first and second pilot injections is depicted. The range for the first pilot SOI is from to with increments of 5 CAD. For the second pilot it is from to with increments of 5 CAD. Increasing or saving the indicated work base case level is possible using a retarded SOI for both pilot injections simultaneously. The red-dotted reference line can be seen (base case level), and further on each contour plot. The pressure rise rate field shows that exceeding the critical value of To decrease the PM emissions, the SOI range for the first pilot injection should be in the range from to. At the same time, the SOI for the second pilot injection should not be less than (more retarded than NOx emissions exceeding the base case level can be achieved earlier than when the indicated work reaches the base case level, as it can be seen in. The decrease in NOx emissions lower than the base case level can be achieved in the range of the SOI more than to for both pilot injections. In conclusion, there is no such combination of SOI for both pilots at which the de- creasing of the NOx emissions, PM and at least saving the base level of efficiency can be achieved. Researchers [40] have investigated the influence of the multiple injection strategies on the emissions. They have used two pilot injections with SOI variable from to with increments of 5 degrees. They also varied the pilot mass injection. The researchers marked a decrease in the NOx and a slight decrease in the soot emissions with an improving combustion process.", "deleted_count": 36, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "They have used two pilot injections with SOI variable from to with increments of 5 degrees. They also varied the pilot mass injection. The researchers marked a decrease in the NOx and a slight decrease in the soot emissions with an improving combustion process. The next step should be the optimization of the pilot injection fuel mass for two combinations of SOI: 1–the first pilot injection: BTDC, the second: 19.2 CAD BTDC. The lowest NOx emissions and a relatively low indicated work value are achieved. It is expected that 2–the first pilot injection: SOI 19.2 CAD BTDC, the second: 10 CAD BTDC. It is expected to decrease the NOx emissions due to a decrease in the pilot injection fuel mass. As was mentioned above the fuel mass of the pilot injection is close enough to fuel the mass of the main injection in case of a three-stage injection. The pilot injections play an important role in the combustion process, and probably have the main influence on the local temperature in CC as long as the fresh oxidizer is available for the first pilot injection predominantly. Further, the first and the second SOI pilot injection sets. The results of the simulation are depicted in. The first pilot injection mass fuel is equal to the second. The varying range is from 3.5 mg to 15.75 mg with increments of 1.75 mg. The fuel mass for both pilot injections is the same. For the first SOI pilot injection set an indicated work is lower than the base case value in the range from 5% to 9%. A decrease in the rate of the pressure rise with a decrease in the pilot injection fuel mass can be seen. The PM emissions are higher than the base level in the range of the pilot injection fuel mass from 1.75 mg to 10.5 mg, and the increase in the pilot fuel mass injection decreases the PM emissions. The NOx emissions are lower than the base case level in the whole pilot fuel mass injection varying range, divided by factor 1.5. In the second SOI pilot injection set the indicated work value is lower than base case level in the range of the fuel mass pilot from 1.75 mg to 7 mg, the increase in the pilot injection fuel mass leads to an increase in indicated work. The pressure rise rate does not exceed the critical value of 1.5 MPa/CAD. The PM emissions has a higher base case level in the range of the pilot injection fuel mass in a range from 3 mg to 9 mg. The NOx emissions lower base case level is in the range from 1.75 mg to 7 mg of the pilot injection fuel mass. Later increases in pilot injection fuel mass leads to an increase in NOx emissions. The authors in [41,42] conducted an investigation where the analyses of multiple injection strategy on the combustion process was described. They mention that emissions strongly depend on the engine load. The varying of the pilot injection fuel mass does not allow the purpose of the opti- mization to be reached. The next step of the optimization is to vary the main SOI. The main SOI optimization simulation should be completed with other injection parameters set constant. Thus, the first pilot SOI is fixed at a value of 45 CAD BTDC, the second pilot SOI is fixed at a value The negative SOI value on this figure means the injection ATDC. The optimal SOI range to increase the indicated work is from to compared with the base case level. Advancing the SOI out of the described range decreases the indicated work by 5%", "deleted_count": 18, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "figure_or_table", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "The negative SOI value on this figure means the injection ATDC. The optimal SOI range to increase the indicated work is from to compared with the base case level. Advancing the SOI out of the described range decreases the indicated work by 5% and retarding the SOI out of range decreases the indicated work by 35%. The highly advanced SOI leads to an increase in compression work, and a highly retarded SOI leads to significant heat losses. Varying the main SOI does not lead to an exceeding of the allowable level of pressure rise rate. To decrease the PM emissions, the main SOI range from to should be chosen. The maximum decrease is 71% compared with the base case level at 15 CAD BTDC. To decrease the NOx emissions, the advancing main SOI should not be more than 5 CAD BTDC. The optimal value of the main SOI should be chosen to be equal to 5 CAD BTDC. The 23% reduction in PM emissions can be achieved, as well as the base case level of the indicated work and the increase in NOx emissions by 20%. It is expected to reduce the NOx emissions through engaging the post injection. In general, advancing the main SOI leads to an increase in NOx emissions and a decrease in PM emissions. Similar results are described by the authors in [43]. The authors in [44,45] investigated the influence of advanced injections strategies with EGR on the combustion process. The main idea was to split the main injection and to investigate the dwell between the last main and post injection. It was verified that the three-split strategy in combination with 20% of EGR led to most of the investigated cases being within a narrow range of NOx concentrations without an increase in the soot emissions. It was found that the injection strategy seems to have a great impact in soot emission reduction for the cases characterized by 80% fuel injected through main pulses. The range and increment of post SOI (red-dashed line) is shown in, as well as the parameters for the pilot and main injections. In, the indicated work dependence of the post SOI can be seen. The addition of post injection reduces the indicated work. The indicated work decreased with a retarding of the post injection SOI. The NOx emissions decreased also. It is important to notice that The addition of the second pilot injection, a variation of the pilot injections mass, and the addition of the post injection do not allow the purpose of investigation to be achieved. As an assumption, the excessive increase in CD via a splitting of the two-stage injection to four deteriorates the evaporation and combustion process or increases NOx emissions and increases the heat losses to the cooling system and to exhaust gases. There is no need to increase the CD at low load conditions, because there is a lot of oxidizer in the combustion zone. It is still important to study the influence of another injection strategy on the CP. The decision is to exclude the second pilot injection. The pilot SOI optimization is the first step of this optimization. The range of the pilot SOI is from to with increments of 5 CAD. The results of the variation of the pilot SOI are presented in. There are two injections–one pilot injection and one main injection. The reference dashed line displays the base case level. The advancing pilot SOI decreases the indicated work. To maintain the indicated work not lower than base case level, the pilot SOI should be in the range from to 10 CAD BTDC. The maximum value of the pressure rise rate does not exceed the critical value of 1.5 MPa/CAD, so there is no limitation. The dependence of the pressure rise rate on the pilot SOI looks similar to that of the indicated", "deleted_count": 19, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "figure_or_table", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "The advancing pilot SOI decreases the indicated work. To maintain the indicated work not lower than base case level, the pilot SOI should be in the range from to 10 CAD BTDC. The maximum value of the pressure rise rate does not exceed the critical value of 1.5 MPa/CAD, so there is no limitation. The dependence of the pressure rise rate on the pilot SOI looks similar to that of the indicated work. The PM emission decreases with a retarding of the pilot SOI. Exceeding the base value can be seen in the range from to 20 CAD BTDC. The NOx emissions look fairly constant in the range of pilot SOI from to 30 CAD BTDC. Retarding the pilot SOI increases the NOx emissions; a maximum of NOx emissions, because of the local enrichment of the air–fuel mixture (the pilot injection becomes closer to main injection). The second reason is more efficient combustion due to a higher temperature and pressure at SOI. As in can be seen from, the optimal value of the pilot SOI is at 19.2 CAD BTDC. The second step of the optimization is to vary the pilot injection mass in the range from 1.75 mg to 14 mg with increments of 1.75 mg. To exceed the pilot injection fuel mass value of 14 mg is not rational due to the increased compression work as the pilot injection fuel mass is increased. The results are presented in. As can be seen, the indicated work increases with the increase in the pilot injection mass. The maximum value reaches To understand the CP in detail, the main parameters of combustion are presented in The CD decreases, as well as the heat loss. Faster combustion is possible via the excessive amount of oxidizer. The detailed combustion process of the pilot and main injections is Pilot Mass, mg SOC, CAD BTDC CD, CAD AHR, % CO, % Acompr, % Ai, % For the pilot injection fuel mass 12.25 mg, the CD is almost the same as for the base case, but the increase in the AHR and the decrease in the compression work, as well as the CO mole fraction compared with the base case leads to an increase in the indicated work. The main influence on the combustion process is the use of the oxidizer in the burning zone which is characterized by the CO mole fraction and AHR. A higher AHR value or/and a lower CO mole fraction value means that the combustion process is more efficient. The increasing of the pilot injection fuel mass increases the pressure rise rate via increasing the amount of the fuel burned BTDC. The increasing of the pilot injection mass decreases the PM emissions, from the maximum value of 225 mg/kg of fuel at the pilot injection fuel mass equal to 1.75 mg to 92 mg/kg of fuel at the pilot injection mass of 14 mg. The NOx emissions increase with an increasing pilot injection mass; the reason for this is the more efficient use of the oxidizer, hence the local temperatures in CC increase. The pilot injection fuel mass is 12.25 mg. The 1.5% increase in the indicated work, the base case level of PM emissions, the 20% decrease in the pressure rise rate and the 4% decrease in the NOx emissions can be achieved compared with the base case level. The next step of the optimization is to vary the main SOI with the constant pilot SOI", "deleted_count": 18, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "The 1.5% increase in the indicated work, the base case level of PM emissions, the 20% decrease in the pressure rise rate and the 4% decrease in the NOx emissions can be achieved compared with the base case level. The next step of the optimization is to vary the main SOI with the constant pilot SOI The range of varying the main SOI is from to (- on the with increments of 2 CAD. The negative SOI value on this figure means the injection ATDC. The values of all the estimated parameters at main are almost equal to those at the base case. Advancing the main SOI increases the indicated work and NOx emissions by 10% and 100%, respectively. There is no influence on the PM emissions and the pressure rise rate. The main SOI retarding up to leads to an 18% decrease in the indicated work, a 52% decrease in NOx emissions, and about a doubled increase in PM emissions. There is no influence of the main SOI on the pressure rise rate. From the description above it can be seen that optimal main SOI is The range of post injection SOI is from to with incre- ments of 2 CAD. The results of the numerical investigation are displayed in. There wasn’t any pressure rise, because the post injection parameters have no influence on it. The retarding of post SOI decreases the indicated work and NOx emissions. The in- creasing of the PM emissions with advancing the post SOI can be seen, but in the range For the next variable parameter (the mass of the post injection), the post SOI should be taken equal to 2 CAD ATDC. The 10% decrease in NOx emissions, the 20% decrease 4% decrease in indicated work and a 20% decrease in NOx emissions, but a 20% increase in PM emissions can be seen. The received results look similar to other researchers [45–48]. At the post injection, a fuel mass of 1.75 mg, an almost base case level of indicated work and PM emissions, and a 5% decrease in NOx emissions can be seen. The parameters of the post injection have no influence on the pressure rise rate. In light of the above description, the 3.5 mg post injection fuel mass can be chosen as optimal. In, an optimal injection strategy is depicted and the parameters of the three-stage injection can be seen. In the pressure curves for the base case and the optimal case are presented. The peak firing pressure for the three-stage injection is a little bit lower at 7.24 MPa, and the base case value is equal to 7.56 MPa. Post injection is burned during the expansion stroke, which is taken from the main injection fuel mass. In the combustion parameters are presented. Pilot Mass, mg SOC, CAD BTDC CD, CAD AHR, % CO, % Acompr, Ai, % NOx, % PM, % Base case As it can be seen, the CD became longer, but the combustion became more efficient (AHR increased and CO mole fraction decreased) but the heat losses to cylinder head and liner wall increased, because the value of the indicated work was equal to 99% compared with the base case level despite a decrease in compression work.", "deleted_count": 24, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "A little bit later combustion with an increasing of CD can be seen in. The pilot ROHR is lower than the base case, because the pilot fuel mass injection is lower. The most significant influence on the combustion process has the pilot injection parameters: the pilot SOI and the pilot injection fuel mass. The pilot SOI has a significant influence on the type of combustion (premixed/non premixed) of the pilot injection, so there is opportunity to control the ignition delay. The parameters described above have an influence on the compression work, mostly via the AHR BTDC and the CO mole fraction, as there is a lot of fresh oxygen in the CC. During the combustion of the pilot injections, the fuel mass, the temperature and the pressure in the combustion chamber increase and the evaporating of the main injection fuel mass and the mixture preparation becomes faster, and the combustion of the main portion becomes fuller, hence the increase in the premixed combustion. Therefore, the pilot injection parameters control the temperature and pressure values for burning the main The post injection parameters mostly influence the emissions and the indicated work via the heat losses through the exhaust gases and through the cooling system. Splitting the injection allows the fuel portions to be burned separate from each other and improves the mixing and the oxygen use. In particular, it is important in the case of high loads when the amount of cycle injection is high. The process of determining the optimal injection strategy is described above in detail and can be used for other ICEs, and other alternative fuels. The optimization of the injection strategy and the application of alternative fuels in conjunction is a powerful tool to improve the combustion process of any engine without changing the design of the engine itself or its systems. Further improvement of the results can be obtained with the minor change of the ICE design. For example, the optimization of the combustion chamber shape or the optimization of the injector nozzles. All these changes can be simulated using CFD models. Author Contributions: Conceptualization, A.K.; methodology, A.K. and N.Z.; validation, A.K.; formal analysis, N.Z. and A.K.; investigation, N.Z.; resources, N.Z.; data curation, A.K.; writing— original draft preparation, N.Z.; writing—review and editing, A.K. and U.A.; visualization, N.Z.; supervision, A.T.; project administration, A.T. and K.K.; funding acquisition, U.A., A.T. All authors have read and agreed to the published version of the manuscript.", "deleted_count": 10, "triggered_rules": ["trim_garbage_start", "results_discussions", "figure_or_table", "fig_table_ref", "chapter_titles"]}
+{"cleaned_text": "Baseline Characteristics of the Study Population Baseline characteristics of the study participants stratified by sitting time are shown in. Of the 4276 individuals, 43.1% (1842/4276) had a sitting time of <8 h/day and 56.9% (2434/4276) had a sitting time of ≥8 h/day. Approximately 44.2% (1889/4276) of participants were men and 55.8% (2387/4276) were women. The mean age of participants was 72.67 ± 5.03 years. Participants in the prolonged sitting time groups (≥8 h/day) were older, more obese, more inactive, consumed more alcohol, and had lower quality of life scores (p < 0.001) than the low sitting time groups (< 8 h/day). However, marital status and current smoking status did not differ between the two sitting time groups. Sitting Time (n = 2434) p Value * Sex Male Female Age category, mean (SE) Obesity No (BMI <25 kg/m2) Yes (BMI ≥25 kg/m2) Marital status Single Married Household income level Low Lower middle Upper middle High Educational levels Elementary school Middle school High school College or higher Occupation Office work Sales and Service Agriculture, forestry, and fishery Machine fitting and simple labor Unemployed, housewife, or student Physical activity Inactive Active Current smoking status No Yes Alcohol use No Yes Number of chronic diseases a EQ-5D index, mean(SE) EQ-5D dimensions b Mobility c Self-care c Usual activities c Pain/discomfort c Anxiety/depression c Data are expressed as numbers (standard error; SE) or number (%); columns total 100%. * p-values were obtained from two-sample t-tests or chi-square tests. a Number of chronic diseases including cancer, stroke, myocardial infarction, angina, arthritis, rheumatoid arthritis, asthma, thyroid gland disorder, chronic renal failure, and chronic hepatitis B. b EQ-5D-3L includes five dimensions: mobility, self-care, usual activity, pain/discomfort, and anxiety/depression. c Each dimension was categorized as “having problems” or “having no problems,” and subjects reported problems related to their health-related quality of life. BMI, body mass index; EQ-5D, EuroQol-5 dimension. EQ-5D using a multiple logistic regression analysis. After adjusting for age, sex, marital status, educational level, occupation, household income level, physical activity, current smoking status, alcohol intake, chronic disease, and depression, all EQ-5D dimensions of mobility, self-care, usual activity, pain/discomfort, and anxiety/depression were associated with a prolonged sitting time (mobility, OR: 1.43 [95% CI 1.22–1.68]; self-care, OR: 1.65 [95% CI 1.25–2.17]; usual activities, OR: 2.07 [95% CI 1.69–2.52]; pain/discomfort, OR: 1.57 [95% CI 1.34–1.84]; anxiety/depression, OR: 1.49 [95% CI 1.17–1.91]). Mobility Self-care Usual Activity Pain/Discomfort Anxiety/ Depression ST < 8 h ST ≥8 h ST < 8 h ST ≥8 h Values are presented as odds ratio (95% confidence interval). * p value < 0.001; † p value < 0.005. Model 1 was adjusted for age and sex; Model 2 was adjusted for age, sex, BMI, marital status, educational level, occupation, household income level, physical activity, current smoking status, alcohol intake, chronic disease, and depression. EQ-5D, EuroQol-5 dimension; OR, odds ratio; CI, con", "deleted_count": 6, "triggered_rules": ["trim_garbage_start", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "Model 1 was adjusted for age and sex; Model 2 was adjusted for age, sex, BMI, marital status, educational level, occupation, household income level, physical activity, current smoking status, alcohol intake, chronic disease, and depression. EQ-5D, EuroQol-5 dimension; OR, odds ratio; CI, confidence interval. Additionally, multiple logistic regression analysis showed an association between physical activity and HRQoL. After adjusting for age and sex, all of the EQ-5D dimensions—mobility, self-care, usual activity, pain/discomfort, and anxiety/depression— were associated with physical inactivity (mobility, OR: 1.62 [95% CI 1.37–1.93]; self-care, OR: 1.92 [95% CI 1.42–2.57]; usual activities, OR: 1.87 [95% CI 1.49–2.33]; pain/discomfort, OR: 1.31 [95% CI 1.09–1.57]; anxiety/depression, OR: 1.30 [95% CI 1.01–1.66]). However, in the model controlling the covariates including age, sex, BMI, sitting time, marital status, educational level, occupation, household income level, current smoking status, alcohol intake, chronic disease, and depression, physical inactivity was associated with the dimensions of mobility (OR: 1.46 [95% 1.22–1.74]), self-care (OR: 1.67 [95% 1.24–2.26]), and usual activity (OR: 1.59 [95% 1.27–2.00]). The association between the dimensions of pain/discomfort and anxiety/depression and physical activity was not statistically significant. Mobility Self-Care Usual Activity Pain/Discomfort Anxiety/Depression Active Inactive Active Inactive Values are presented as odds ratio (95% confidence interval). * p value < 0.001; † p value < 0.005; ‡ p value < 0.05. Model 1 was adjusted for age and sex; Model 2 was adjusted for age, sex, BMI, sitting time, marital status, educational level, occupation, household income level, current smoking status, alcohol intake, chronic disease, and depression. EQ-5D, EuroQol-5 dimension; ST, sitting time. Multiple logistic regression analysis was performed to analyze the combined asso- ciation of physical activity and sitting time with quality of life. The adjusted analysis in the four groups showed that the high sitting time/inactive group had higher ORs for all EQ-5D dimensions than the low sitting time/active group (mobility, OR: 1.90 [95% CI 1.47–2.46]; self-care, OR: 2.14 [95% CI 1.41–3.27]; usual activities, OR: 3.38 [95% CI 2.37–4.82]; pain/discomfort, OR: 1.79 [95% CI 1.38–2.31]; anxiety/depression, OR: 1.69 Mobility Self-Care Usual Activity Pain/Discomfort Anxiety/ Depression Low ST & Active Low ST & Inactive High ST & Active High ST & Inactive Values are presented as odds ratio (95% confidence interval); * p value < 0.001; Adjusted for age, sex, BMI, marital status, educational level, occupation, household income level, current smoking status, alcohol intake, chronic disease, and depression; Low ST: sitting time <8 h/day; High ST: sitting time ≥8 h/day; EQ-5D, EuroQol-5 dimension; ST, sitting time. This study examined the association of sitting time and physical activity with HRQoL in older adults. Participants with prolonged sitting", "deleted_count": 8, "triggered_rules": ["trim_garbage_start", "results_discussions", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "BMI, marital status, educational level, occupation, household income level, current smoking status, alcohol intake, chronic disease, and depression; Low ST: sitting time <8 h/day; High ST: sitting time ≥8 h/day; EQ-5D, EuroQol-5 dimension; ST, sitting time. This study examined the association of sitting time and physical activity with HRQoL in older adults. Participants with prolonged sitting time showed significantly worse overall HRQoL, even after adjusting for age, sex, marital status, educational level, occupation, household income level, physical activity, current smoking status, alcohol intake, chronic diseases, and depression. Several studies have examined the relationship between sitting time and quality of life in older people [7,18,19]. Garcia-Hermoso et al. found that prolonged sitting time increased the risk of cognitive impairment regardless of the level of physical activity, and moderate-to-vigorous physical activity could attenuate these negative effects [8]. A longitudinal study of community-dwelling older adults in Spain stated that more time spent watching TV was related to a higher risk of depressive and psychological distress symptoms in women [20]. A recent study indicated that knee joint pain, hip joint pain, and low back pain were associated with sitting time (≥7.5 h/day) in older adults [21]. Similarly, a cross-sectional study found that a high level of sitting time (>7 h/day) was related to low back pain, and individuals with a prolonged sitting time with low physical activity had a higher risk of low back pain [22]. Yen et al. showed that prolonged sitting time was significantly associated with limited mobility in older adults. The results of previous studies are consistent with those of the present study in that prolonged sitting time was associated with all of the EQ-5D dimensions (mobility, self-care, usual activity, pain/discomfort, and anxiety/depression). Additionally, we presented the relationship between physical activity and quality of life, independent of sitting time. Both prolonged sitting time and physical activity were independently associated with the EQ-5D dimensions of mobility, self-care, and usual activity. Physical inactivity was not statistically significant in the pain/discomfort and anxiety/depression domains of EQ-5D, independent of sitting time. However, prolonged sitting time was statistically significant in the pain/discomfort and anxiety/depression domains of the EQ-5D, independent of physical activity. The present study examined the combined impact of sitting time and physical ac- tivity on HRQoL by comparing four groups according to their sitting time and physical activity level. Our findings suggest that individuals with a prolonged sitting time and low physical activity levels had a worse HRQoL and that the high sitting time/active group had a lower risk of worse results for the usual activity and pain/discomfort domains of HRQoL than the high sitting time/inactive group. In other words, physical activity could weaken the negative association of prolonged sitting time on the usual activity and pain/discomfort domains of HRQoL. A cross-sectional study conducted in the US HRQoL, particularly the general health, physical health, and activity limitation compo- nents. However, there was no significant combined association of sedentary behavior and moderate-to-vigorous physical activity with poor mental health [14]. Unlike the results of their study, the present study showed that individuals with a prolonged sitting time and low physical activity had problems associated with anxiety/depression, as well as problems associated with the mobility, self-care, and usual activity domains of quality of life. Korea has the fastest aging population among the Organization for Economic Coop- eration and Development (OECD) countries. By 2050, 71% of the population of Korea is expected to be aged 65 years or older [23]. Prolonged sitting time in the older population has become a major social issue because it causes various problems such as cardiovascular disease, sarcopenia, cognitive impairment, and mortality [8,10]. The reason for prolonged sitting time in the Korean elderly seems to be that more than 90% of them spend their leisure time watching TV or listening to the radio, and they often play sedentary Korean games such as hwatu, janggi, and baduk [18]. It is known that leisure activities in older people are associated with higher life satisfaction. In order to improve the HRQoL of older people, it is essential to develop outdoor leisure programs focusing on physical activities [24]. This study has some", "deleted_count": 3, "triggered_rules": ["trim_garbage_start", "results_discussions", "chapter_titles"]}
+{"cleaned_text": "It is known that leisure activities in older people are associated with higher life satisfaction. In order to improve the HRQoL of older people, it is essential to develop outdoor leisure programs focusing on physical activities [24]. This study has some limitations. First, because of the nature of the cross-sectional study, it is difficult to accurately identify the causal relationship between sitting time and HRQoL. Second, the self-reported data on sitting time and physical activity might be less accurate and reliable than objective measurement data. Third, the EQ-5D has limitations in assessing overall HRQoL. Several studies have suggested that the Short Form 6 Dimensions (SF-6D) is more useful and valid than EQ-5D [25,26]. However, the validity and reliability of the EQ-5D has been proven in previous studies, and it has been widely used as a simple method for evaluating quality of life [27–29]. Despite these limitations, the strengths of this study were that a nationally representative sample from South Korea was used and potential confounding factors were adjusted for. Moreover, few studies have examined the combined association of sitting time and physical activity with HRQoL in older people. This cross-sectional study using representative data from South Korea suggests that prolonged sitting time and low physical activity are associated with poor general HRQoL in elderly people. Social support as well as interventions that reduce sitting time and encourage physical activity are needed to improve HRQoL in elderly people. Author Contributions: Conceptualization, J.I.C. and Y.H.C.; methodology, J.I.C. and Y.J.T.; software, J.I.C. and Y.I.L.; investigation, J.I.C. and Y.H.Y.; resources, J.I.C., E.J.P. and S.J.L.; data curation, J.I.C., H.R.H., S.H.L. and Y.J.R.; writing—original draft preparation, J.I.C.; writing—review and editing, J.I.C. and Y.H.C.; supervision, Y.H.C., Y.J.K., S.Y.L., and J.G.L. All authors have read and agreed to the published version of the manuscript", "deleted_count": 1, "triggered_rules": ["trim_garbage_start"]}
+{"cleaned_text": "The monitoring results revealed that the highest concentrations of pollutants were recorded at site S1, located at a distance of 0.8km from the plant. In comparison, the lowest concentrations were found at S3 and S4 located at a far distance from the plant (10.6 and 6.4km, respectively). This result indicated that the cement plant's impact depends strongly on the receptor's location and how far it is from the source. Site S2 is located on the main highway, which explained the high concentrations of pollutants in the site due to vehicle emissions. Compared with PME ambient air quality standards, all pollutants' concentrations are far below the designated limits of 32, 0.35, and 0.28, 0.12ppm for an averaging time of 1hr for CO, NO2, SO2, and O3, respectively. The concentrations of PM10 were 131, 107, 84, and 81µg/m3 for the measured sites, respectively, against 340µg/m3, the allowable concentration limit. Similarly, the concentration of PM2.5 (21, 15, 13, 13µg/m3) in the four sites is far below the standard limit of 35µg/m3. Deficient concentrations of Benzene have been measured (0.8, 0.6, 0.46, 0.16ppb) in the four areas, respectively, in comparison with the PME limit of 4.4ppb/y. Since site S1 is located close to the plant site, the pollutant concentrations were compared with OSHA standard limit for indoor air quality. It was found that all pollutants have concentrations below the permissible exposure limit of 25, 2, 20, 3ppm, and 100ppb for CO, SO2, H2S, NOx, and O3, respectively. WHO recommended desirable limits of 50 and 20 for PM10 and PM2.5, respectively. In this study, it is assumed that the total VOCs represent the summation of Benzene, Toluene, O-Xylene, P-Xylene, and Ethylbenzene, and it is recommended a concentration of 120ppb as a healthy indoor environment (Fernández-Agüeraet al., 2019). Fig.1 Concentration of pollutants at different monitoring locations (in ppb except of CO in ppm). Concentration (ppm, ppb) Site CO NOx VOCs No. P ch r Resea Industries (JJECI) Chemical Engineering and of nal r Jordanian Jou Carbon monoxide is generated due to incomplete combustion, mainly from fossil fuels. The effect of CO on human health depends on the exposure period, CO concentration, and the receptor's sensitivity. Breathing of air with a high CO concentration causes headache, vomiting, nausea, dizziness, and may cause heart disease, angina, reduces brain function, unconscious, or die at high concentration. CO exposure's profound acute health effect includes weakness, dyspnoea, cardiac dysrhythmias, muscle fatigue, palpitations, confusion, hypotension, cardiac and respiratory arrest, impaired vision, pulmonary edema, myocardial ischemia, and coma. Since the blood hemoglobin binding affinity to CO is more than 200 times greater than its relationship to O2, a high concentration of CO causes an increase in the level of carboxyhaemoglobin. Many studies reported no health effect at low CO concentration (200, 1000, 1200ppm) at a short time of exposure . Since CO concentrations are <0.9ppm in all sites and far below the", "deleted_count": 7, "triggered_rules": ["trim_garbage_start", "remove_citations", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "Many studies reported no health effect at low CO concentration (200, 1000, 1200ppm) at a short time of exposure . Since CO concentrations are <0.9ppm in all sites and far below the reported limit, no health effect is expected. The industry is the primary source of sulfur dioxide in the atmosphere, especially the power plants, oil and gas industries, mineral processing, vehicles with diesel engines, and fossil fuel combustion containing sulfur. Sulfur dioxide can cause many health effects, especially for sensitive people with lung diseases, children, and the elderly. Its effects include irritation of the nose, throat, eyes, respiratory system, and lungs. The common symptoms at high concentration are breathing difficulties, reduced lung function, harsh asthma attacks, and aggravation of heart diseases for sensitive groups. The chemical reaction of SO2 with chemicals in the atmosphere produces acid particles that harm the respiratory system and lungs. It was reported that SO2 is responsible for an increase in hospital respiratory admissions by 4% in Paris and Milan, 6-9% in chronic obstructive lung disease admission in Barcelona. Epidemiological studies showed that the prolonged exposure to SO2 concentration of 10ppm caused damage to the airways' epithelium, while at a higher concentration of 300ppm, slowing of ciliary transport of mucus occurred . National Park Services (NPS) of USA classified air quality index in six categories based on SO2 concentration as: good (0.0-0.1ppm), moderate (0.1-0.2ppm), unhealthy for sensitive groups (0.2–1.0ppm), harmful (1.0–3.0ppm), and very unhealthy (3.0–5.0ppm) and hazardous (>5ppm) . The concentrations of SO2 in all sites ranged from 2.00 to 11.92ppb; subsequently, air quality can be classified as good (0.0-0.1ppm) according to the NPS classification, and therefore no adverse health effects are expected. Nitrogen oxides are generated from the combustion of fuel, vehicle emissions, power plants, and off-road equipment. Exposure to NOx can irritate the respiratory system and throat, asthma, cough, difficulty breathing . Previous studies indicated that short- term exposure (1hr) to a concentration of 200μg/m3 has insufficient evidence of health effects. In comparison, exposure to a concentration of 50μg/m3 for 24hrs showed an increase in hospital admissions for respiratory diseases and mortality . It was reported that a concentration of 0.3ppm for 30-minute is the lowest limit that can affect the pulmonary function, and there were no symptomatic complaints at an exposure limit of 1.0ppm by either asthmatics or healthy groups. Higher concentrations (3.0–4.0ppm) caused a significant effect on lung function and lung protein activity . The maximum concentration of NOx was measured in S1with an average value of 16.28ppb, which is far below the lowest limit of the health effect of 200μg/m3 (97.4ppb), or the limitation of 0.3ppm that affect the pulmonary function. Concentration, µg/m3 Site No. P ch r Resea Industries (JJECI) Chemical Engineering and of nal r Jordanian Jou Most hydrogen sulfide (H2S) is generated naturally from different sources such as thermal springs, lakes, and saline marsh. In industry, inorganic compounds and sulfate with insufficient oxygen level, H2S can be formed. Wastewater treatment plants, oil refining, tanning industry, viscose rayon mill, and kraft pulping industry are possible sources of H2S. While the respiratory system is the main route of H2S exposure by humans, it concentrates in the liver with a small amount in the lungs and kidneys. A concentration of 750-1400mg/m3 is considered an acute lethal level with immediate collapse. S", "deleted_count": 12, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "H2S can be formed. Wastewater treatment plants, oil refining, tanning industry, viscose rayon mill, and kraft pulping industry are possible sources of H2S. While the respiratory system is the main route of H2S exposure by humans, it concentrates in the liver with a small amount in the lungs and kidneys. A concentration of 750-1400mg/m3 is considered an acute lethal level with immediate collapse. Sulfide and hydrogen sulfide anions are strong bases with a significant impact on the nervous system, which caused conjunctional irritation at 10ppm (15mg/m3). Also, it can cause respiratory irritation and eye damage at a concentration above 150ppm, pulmonary edema at a concentration of 267ppm, loss of olfactory sense at a concentration level of 150-250, CNC stimulation at a concentration of 530-1000ppm, and paralysis of respiration at a concentration of 1000-2000ppm. Epidemiological studies reported that daily exposure of workers to H2S with a concentration of >20ppm (>30 mg/m3) resulted in the complaint of 70% of the workers from many symptoms such as headache, fatigue, drowsiness, vertigo, poor memory, disquiet, and eye irritation . The concentration of H2S in the measured sites were: 16.28, 10.3, 3.4, and 3.3ppb for sites S1, S2, S3, and S4, respectively. These are far below the limit that causes an effect on the nervous system (10ppm), or the limit that irritates (20ppm), nor the limit that causes an impact on the respiratory system (1000ppm). Therefore, no adverse health effects are expected due to the exposure of H2S at the current concentration level. In terms of VOCs, it was reported that several compounds of VOCs have a carcinogenic impact. EPA said that VOCs are responsible for 35-55% of the ambient air cancer in the USA, and out of 27 carcinogenic pollutants, 17 are VOCs. Health Canada found that VOCs also have noncarcinogenic effects ranging from drowsiness, weakness, fatigue, joint pain, tightness in chess at low concentration (<0.3µg/m3) to irritation, discomfort at a concentration of 0.3-25. In contrast, higher concentration caused a significant effect on the respiratory system and pain . The development of VOCs depends strongly on the type of VOC compounds, as will be discussed later. It was reported that the reference concentration of VOCs is 0.56ppm, 0.018ppm for Benzene, 0.46ppm for Ethyl Benzene, 0.079ppm for toluene, and 0.0537ppm for Xylenes (Liu, et al., 2015), benzene, ethylbenzene, toluene, and xylenes' concentration ranged from 0.16-0.8, 0.07-0.3, 0.16-0.81, and 0.34-1.67ppb, respectively are far below the reported limits of effect. Dust is the primary environmental challenge to the cement industry due to the high fugitive emissions from most operation processes. While the PME ambient air quality standard limited PM10 and PM2.5 at 340 and 35µg/m3, there are no local indoor air quality standards for them. For indoor air quality, OSHA recommended a limit of 5 mg/m3 for respirable dust and 15mg/m3 for total dust in the cement industry compared with 4 and 10mg/m3 according to UK standards . WHO reported a significant effect of PM10 on the respiratory system while PM2.5 has a high-risk factor due to its impact on the cardiopulmonary system, and can cause an increase in the mortality cases (6-13% per 10µg/m3) in case of long-term exposure time. In this study, the concentrations of PM10 in all sites ranged from 81-131µg/m3, and all measurements were below the OSHA standard limit for the workplace and PME", "deleted_count": 6, "triggered_rules": ["trim_garbage_start", "remove_citations", "chapter_titles"]}
+{"cleaned_text": "In this study, the concentrations of PM10 in all sites ranged from 81-131µg/m3, and all measurements were below the OSHA standard limit for the workplace and PME standard limit for ambient air quality. Although there is no exceedance in the concentration during the study period, it is expected that high exceedances could occur during extreme weather conditions due to the storm dusts that overrun the KSA most of the year. For this reason, the employees should be provided with PPE, and the plant should maintain continuous awareness training programs, implementing periodic medical checks and a regular sprinkling of water to control the fugitive dust. CO2 is not regulated as an ambient air pollutant according to most international standards. It is generated as a result of the complete combustion of fuel in all combustion chambers. Additionally, it is emitted from the calcination process of materials in cement plants . Alzboon et al. found a high concentration of CO2 at the kiln area, crushing area, and clinker cooling area. According to the health and safety environment, the max allowable limit of CO2 in the workplace is 1500 and 5000ppm for short- and long-term exposure time, respectively . It was reported that the minimum concentration that can cause a health effect is 1000ppm for an exposure time of 2.5hr. At higher concentrations (5000ppm), employees showed many symptoms: lethargy, headache, irritation, mental slowness, sleep disruption, while death may occur at a concentration of 7% with a 5-minute exposure time . OSHA's standard limit of CO2 is 5000ppm. The average concentrations of CO2 in the measured sites ranged from 443 and 597ppm below the reported health effect limit, and therefore, no adverse health effects are expected. No. P ch r Resea Industries (JJECI) Chemical Engineering and of nal r Jordanian Jou 5x10-6-0.00003, 0.0011-0.0054, 0.019-0.175, 0.006-0.03, 0.089-0.12, 1.62-2.62, and 0.37-0.6 for CO, SO2, H2S, NOx, O3, VOCs, CO2, PM10 and PM2.5 respectively. The average HQ of different pollutants can be ranked as PM10> PM2.5> CO2> O3> CO> VOCs> NOx> SO2> H2S. Except for PM10, all of the HQ values are <1 in all sites, which indicates that no significant potential health effect is expected from any pollutant individually . The high HQ of PM10 is attributed to the dusty weather in Saudi Arabia for most of the year. It worth mentioning that the monitoring process was conducted in October 2017, which is considered as a month with low dust in Saudi Arabia. The calculated hazardous indexes (HI) were: 3.59, 2.76, 2.18, and 2.67 for S1, S2, S3, and S4, respectively. Excluding the dust indicators (PM10 and PM2.5), HI values are 0.37, 0.19, 0.13, and 0.15 for the four sites, respectively. This result indicated that dust emissions represent the major contributor of the HI, and this may be attributed to the dusty weather in KSA. for all sites. In order to determine each pollutant's effect on different organs, it was suggested that the respiratory system is affected by SO2, NOx, CO2, H2", "deleted_count": 11, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "remove_citations", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "This result indicated that dust emissions represent the major contributor of the HI, and this may be attributed to the dusty weather in KSA. for all sites. In order to determine each pollutant's effect on different organs, it was suggested that the respiratory system is affected by SO2, NOx, CO2, H2S, O3, and VOCs. The nervous system is affected by VOCs and H2S, while eyes' irritation is caused by CO2, SO2, NOx, H2S, O3, and VOCs. Allergic symptoms and hematology are related to the VOC emissions, while the development system is affected by VOCs. PM2.5 affects the cardiovascular system . In order to determine the effect of each compound of VOCs individually, it was reported that Benzene has an impact on hematology, nervous and development systems, Ethyl-benzene affects alimentary, endocrine and growth strategy, toluene effects on nervous, respiratory and development. In contrast, xylenes impact the nervous, respiratory system, and eyes . CO NOx Affected organ Respiratory system Nervous system Cardiovascular system Eye irritation Allergy infection Hematology Alimentary endocrine Development Receptor Ethylbenzene Benzene Sum No. P ch r Resea Industries (JJECI) Chemical Engineering and of nal r Jordanian Jou Regarding cancer risk factors due to VOCs' exposure, the risk unit factor of Ethyl-Benzene is 1.09x10-2 1/ppm and is 1.92x10-2 1/ ppm for Benzes. The EPA reported that no significant evidence to assess the carcinogenic potential of Xylenes and toluene. The calculated cancer risk is shown in. The cancer risk values are below the lifetime cancer risk range of 1x10-41x10-6 . A narrow cancer risk factor is due to the low connotation of VOCs from the plant. Ground-level CO, NOx, SO2, PM10, and PM2.5 were predicted using the AERMOD model covering a domain area of 50x50km. The maximum concentrations of the predicted pollutants are listed in. The ultimate ground-level concentrations are far below the ambient air quality standards. The max concentration location is in the plant's SW due to the worst-case scenario of the calm wind in that direction. The concentrations of carbon dioxide, carbon monoxide, nitrogen dioxide, sulfur dioxide, PM10, PM2.5, ozone, and volatile", "deleted_count": 19, "triggered_rules": ["trim_garbage_start", "results_discussions", "regex_table_soup", "remove_citations", "chapter_titles", "figure_or_table", "fig_table_ref"]}
+{"cleaned_text": "The following conclusions are illustrated: The concentrations of carbon dioxide, carbon monoxide, nitrogen dioxide, sulfur dioxide, PM10, PM2.5, ozone, and volatile organic compounds at four locations ranging from 0.8 to 17km from the cement plant are within the allowable ambient air quality limits. In comparison to OSHA, only PM10 concentration exceeded the indoor air quality standards. The site closest to the plant (0.8km ESE) recorded the highest concentrations of pollutants, while the other sites (17km NNE, 10.6km SE, 6.4km SSW) recorded significantly lower concentrations of pollutants. The calculated hazard quotient (HQ) of all pollutants studied (except for PM10) was lower than one, which indicated that no health effects were expected from these pollutants at the reviewed sites. Health risk assessment indicated that the dust from the cement plant is the major contributor to the HQ. The respiratory system is the most affected organ due to the emissions from the cement plant. Nomenclature ASHRE =American Society of Heating, Refrigerating and Air-Conditioning Engineers Pollutants Averaging Period Maximum model result (μg/m3) Standard (μg/m3) Direction related to the plant CO 1-hour SW 8-hour SW NOx monthly SW annual Not calculated SW 1-hour SW 24-hour SW 24-hour SW 24-hour Comparison of the model and the monitoring data Concentration, ppb Site SO2 actual Nox actual NOx Modeling SO2 modeling No. P ch r Resea Industries (JJECI) Chemical Engineering and of nal r Jordanian Jou =Carbon Dioxide [ppm] CO =Carbon Monoxide [ppm] EPA =Environmental Protection Agency HCl =Hydrochloric Acid [ppm] HF =Hydrofluoric Acid [ppm] =Hydrogen Sulfide [ppm] HI =Hazard Index HQ =Hazard Quotient =Nitrogen Dioxide [ppm] NOx =Nitrogen Oxides [ppm] NPS =National Park Service OSHA =Occupational Safety and Health Administration =Ozone [ppm] PM =Particulate Matter [ppm] PME =Presidency of Meteorology and Environment PPE =Personnel Protective Equipment =Sulfur Dioxide [ppm] SRTM =Shuttle Radar Topography Mission TVOCs =Total Volatile Organic Compounds UF =Unit Factor WHO =World Health Organization", "deleted_count": 4, "triggered_rules": ["trim_garbage_start", "regex_table_soup", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "For instance, transect 3, located on the lower southern flank of the north- ernmost mound, and transect 6, located at the western flank of the highest mound, have a relatively low live- and dead-coral cover overall. Transect 7, across the highest mound in the area, shows a relatively high dead-coral cover and low sediment and rubble cover overall. Redundancy analysis (RDA) We investigated the relation between benthic cover and en- vironmental variables with a redundancy analysis (RDA) in which we studied the spatial benthic configuration by includ- ing Moran’s eigenvector maps (MEMs) in the analysis. RDA axes 1 to 4 were significant (p < 0.001). The first axis of the redundancy analysis explains 27 % of the variation in ben- thic cover and separates frames with high reef cover (i.e. live corals and dead framework) from frames with low reef cover (i.e. rocks, sediment, and coral rubble cover; and 4a). The most important variables explaining high versus low reef cover are downward velocities in February, the spa- tial variable between-transect MEM 2, and depth. Less im- portant variables are bottom current speed, upward velocities in February, between-transect MEM 1, and within-transect MEM 4. The other explanatory variables have only a minor contribution on the first axis. In all, high reef cover is as- sociated with strong downward velocities, shallower water depths, strong bottom currents, and weak upward velocities. The second RDA axis explains 11.5 % of the variation and separates frames with high coral rubble cover from frames with low coral rubble cover and 4b). The most impor- tant variable explaining high versus low coral rubble cover is the spatial variable within-transect MEM 3. Less important variables are between-transect MEM 1, upward velocities in August, between-transect MEM 2, depth, and bottom current speed. High coral rubble cover is associated with strong up- ward velocities in August, greater depths, and strong bottom current speeds. The third axis explained 6.3 % of the variation in ben- thic cover. The third axis separates frames with high sediment cover from frames with low sediment cover. The most important variables explaining high versus low sediment cover are between-transect MEM 1 and between- transect MEM 2. Less important variables are upward veloc- ities in February, downward velocities in August, and within- transect MEM 5. High sediment cover is associated with weak upward velocities in February and strong downward velocities in August. We do not discuss the fourth axis as it explained < 1 % of the variation in benthic cover. Vertical velocities are 30 d averages of February or August, and bottom current speed and energy conversion rates are 60 d averages of February + August. The range of values was calculated based on the variables as used in RDA and variance partitioning. Set Name Range: min Mean Max Response Benthic Live coral cover (“Live”) Dead coral cover (“Dead”) Coral rubble cover (“Rubble”) Sediment cover (“Sediment”) Cover of rocks (“Rocks”) Explanatory Hydrodynamic Bottom current speed (“Speed”) Upward velocities in February (“Wup Feb”) Upward velocities in August (“Wup Aug”) Downward velocities in February (“Wdown Feb”) Downward velocities in August (“Wdown Aug”) Energy conversion to the internal tide (“EC”) Depth Depth Spatial Between-transect Moran’s eigenv", "deleted_count": 9, "triggered_rules": ["trim_garbage_start", "fig_table_ref", "figure_or_table", "chapter_titles"]}
+{"cleaned_text": "These fractions represent the variation in benthic cover that is explained purely by a (set of) variable(s), mean- ing that 14.1 % of the variation in benthic cover has a spatial configuration that is not explained by depth or hydrodynamic variables. Of the spatial variables, 2.4 % of the variation in benthic cover is explained purely by between-transect MEMs Coral mound engineering effect The comparison of hydrodynamic model output with and without coral mounds from van der Kaaden et al. showed that the presence of cold-water coral mounds causes an acceleration or deceleration of bottom currents near coral mound foots and a deceleration on some mound summits . Energy conversion rate to the internal tide is in- creased at those mound flanks that face the tidal current and is decreased at the right side of mounds that face the incom- ing residual current. Vertical velocities in August and February are increased in the presence of cold-water coral mounds, downward velocities are increased on mound summits, and upward velocities are increased on mound flanks–f). Vertical velocities are increased more in February than in August. In August, upward velocities are stronger at the northern mound sides, whereas downward ve- locities are stronger at the southern side–d). There was a significant correlation between mound height and the Cold-water corals and most of the fauna associated with the deep-reef habitats rely on organic matter originating from close to the surface ocean . Our results underline that, at the Logachev cold-water coral mound province, con- d", "deleted_count": 11, "triggered_rules": ["trim_garbage_start", "results_discussions", "remove_citations", "chapter_titles", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "Cold-water corals and most of the fauna associated with the deep-reef habitats rely on organic matter originating from close to the surface ocean . Our results underline that, at the Logachev cold-water coral mound province, con- ditions for cold-water coral reefs are better higher in the wa- ter column since a high reef cover was positively associated to shallower areas and 4), and depth explained a large part of the variation in benthic cover. To deter- mine how coral mound engineering affects the configuration of cold-water corals reefs, we investigated (1) the environ- mental control on cold-water coral reefs at multiple spatial scales and (2) which of the environmental factors are or are not engineered (i.e. affected) by the corals (coral mound en- gineering). Ventilation and hydrodynamics that stimulate the verti- cal and lateral food supply have been identified as the most important drivers of cold-water coral reef growth over the past 20 000 years . In our analysis we included simulated hydrodynamic variables that indicate increased vertical or lateral food supply or ven- tilation. By including spatial variables (Moran Eigenvector Maps, MEMs) in our analysis, we were able to investigate whether these hydrodynamic variables had their largest influence on reef cover at the between- or the within-transect scale. We found that reef cover varied most at the scale of the study area (∼25 km), and this variation seems to be associ- ated most with non-engineered (i.e. not under coral control) downward velocities in winter (Sect. 4.1). By explaining 45.1 % of the variation in benthic cover, our set of variables performed well in comparison to similar deep-sea studies using RDA: e.g. Vad et al. explained Response and explanatory variables on the same side of the axis are correlated. and hydrodynamic variables appears to benefit the analy- sis. In particular, within-transect MEMs described a rela- tively large part of the variation in our benthic cover data that was not explained by the environmental variables. Henry et al. similarly found that community composition was structured mainly by broad-scale environmental forcings, but that fine-scale MEMs described a significant fraction of the variation in community composition. This within-transect variation in benthic cover can be related to spatial patterns of fauna , such as self-organized regular spatial patterns in coral reefs and the typical reef zonation on cold-water coral mounds (Sect. 4.2). The variation that remained unexplained in our study might be related to hydrodynamics at a finer resolution or other food supply mechanisms that were not described fully by our set of hydrodynamic variables, such as enhanced surface productivity ; downward migration of zooplankton (Guihen", "deleted_count": 15, "triggered_rules": ["trim_garbage_start", "remove_citations", "fig_table_ref", "chapter_titles", "figure_or_table"]}
+{"cleaned_text": "The variation that remained unexplained in our study might be related to hydrodynamics at a finer resolution or other food supply mechanisms that were not described fully by our set of hydrodynamic variables, such as enhanced surface productivity ; downward migration of zooplankton ; other interspecific interac- tions causing, for example, recycling of material within cold- water coral reefs ; resuspension (de Froe et al., 2022; Mienis et With mounds Without mounds (unmodified bathymetry) (smoothed bathymetry) Min Mean Max Min Mean Max Bottom current speed (“Speed”) Upward velocities in February (“Wup Feb”) Upward velocities in August (“Wup Aug”) Downward velocities in February (“Wdown Feb”) Downward velocities in August (“Wdown Aug”) Energy conversion to the internal tide (“EC”) Broad-scale environmental control on reef cover that is not engineered by cold-water corals Reef cover (live coral and dead framework) varied most from north to south in the study area. Strong downward velocities in February favour a high reef cover, likely through an accelerated downward transport of organic matter from near the ocean surface . Down- ward velocities in February are stronger with coral mounds present than without coral mounds. Modelling the hydrodynamics around one mound of different heights, van der Kaaden et al. also showed that vertical velocities increased as mound height increased, suggesting a positive feedback mechanism. However, when including all mounds at the Logachev cold-water coral mound province, the mag- nitude of the effect on downward velocities in February is not correlated to the height of a coral mound. We thus argue that high reef cover is", "deleted_count": 14, "triggered_rules": ["trim_garbage_start", "remove_citations", "figure_or_table", "fig_table_ref"]}
+{"cleaned_text": "Modelling the hydrodynamics around one mound of different heights, van der Kaaden et al. also showed that vertical velocities increased as mound height increased, suggesting a positive feedback mechanism. However, when including all mounds at the Logachev cold-water coral mound province, the mag- nitude of the effect on downward velocities in February is not correlated to the height of a coral mound. We thus argue that high reef cover is associated with enhanced down- ward velocities, mostly due to broad-scale, non-engineered, environmental processes. Since downward velocities in February did not signifi- cantly correlate to downward velocities in August (rS = 0.26, p = 0.18) and since downward velocities in August were barely associated to reef cover, reef cover seems mostly steered by processes prevailing in winter and not in summer. At the Rockall trough, deep winter mixing extends as far down into the water column as 600 m , and during winter months, dense water is created over the Rockall Bank that cascades down over the Rock- all trough margin . Both processes cause an accelerated downward flow of organic matter that peaks near the winter–spring transition, at the onset of the phy983 (f). The mound effect was calculated by subtracting the hydrodynamic variables obtained from hydrodynamic simulations without coral mounds from the variables obtained from hydrodynamic simulations with coral mounds. Positive 1 values in the panels thus indicate an enhancing effect of coral mounds on the hydrodynamic variables. toplankton bloom that is particularly early (March and/or April) at the Rockall Bank . These broad-scale, non-engineered, envi- ronmental processes offer a food supply mechanism for the cold-water corals during and shortly after the food-limited winter months and have a larger control on coral survival than food supply mechanisms in summer . This finding suggests that broad-scale environmental pro- cesses exert a stronger control on cold-water coral cover than engineered environmental variables. However, the rather coarse resolution of the hydrodynamic simulations might cause us to overestimate the importance of broad-scale envi- ronmental variables. Variance partitioning showed that 8.8 % of the variation in benthic cover was explained solely by within-transect MEMs compared to only 2.4 % by between- transect MEMs. This signals that the variation at the within- transect scale might be related to environmental variables at a finer resolution. Such fine-scale variation in hydrodynamic variables is more likely to be caused by the interaction be- tween water flow and fine-scale topography, i.e. ecosystem engineering. Since MEMs 3 to 5, which describe the mound foot-to-summit spatial scale, play a role in explaining the variation in benthic cover, cold-water coral mound ecosys- tem engineering might cause self-organized variation in ben- thic cover. Environmental factors other than the hydrodynamic vari- ables investigated here might also affect coral reef growth and subsequent cold-water coral mound formation. For ex- ample, certain water masses , the perma- nent pycnocline , internal waves , seawater density (Flögel et al., 2014), and (terrestrial) sediment supply have been suggested to restrain mound formation. Cold- water coral mounds can become buried following changes to the sedimentary regime , and for the Logachev cold-water coral mound province, it has been hypothesized that the mounds stopped growing when reach- ing the permanent pycnocline or the WTOW upper boundary . van der Kaaden et", "deleted_count": 18, "triggered_rules": ["trim_garbage_start", "remove_citations", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "Such a lev- elling off is also not apparent in our results. This un- derlines that, even though coral mounds engineer their local Coral mound ecosystem engineering causes self-organized reef zonation Here, we demonstrated the effects of coral mound ecosys- tem engineering: bottom current speeds are accelerated at some parts of the mound and decelerated in other parts. At the mound flank, upward velocities are enhanced, whereas at the mound summits, downward velocities are enhanced . Previous studies showed that cold-water coral mounds affect downward water motions. Our results also indicate that coral mounds influence downward velocities in Febru- ary. However, the magnitude of this effect does not correlate to mound height, likely because of the prevailing influence of non-engineered, broad-scale environmental pro- cesses in winter (discussed in Sect. 4.1). These findings are in line with hydrodynamic theory of water flow passed an object and with other stud- ies reporting the hydrodynamics around coral mounds . Such a regime can be generalized as follows: (1) flow acceleration at the mound side facing the incoming current and at the lee and (2) flow deceleration at the other two mound sides, (3) flow decel- eration at the summit if the summit is flat, (4) upwelling along the lower mound flanks, and (5) downwelling around the mound upper flanks and summit. As these typical hy- drodynamic zones likely determine the typical benthic cover zones, we will argue in the following that reef zonation on cold-water coral mounds is self-organized. Cold-water coral mounds show a typical, often-reported benthic zonation, with mostly sediment cover at the mound foot, coral rubble at the lower flank, dead-coral frameworks on the higher flank, and living corals at the sum- mit (e.g. Cathalot et al., 2015; Davies et al., 2009; Genin et al., 1986; De Clippele et al., 2021; Maier et al.,", "deleted_count": 9, "triggered_rules": ["trim_garbage_start", "remove_citations", "fig_table_ref", "figure_or_table"]}
+{"cleaned_text": "Indeed, we found that high cold-water coral reef and rub- ble cover correlated to the spatial scale from mound foot-to- summit (MEM 3 and 4) and to strong bottom current speeds , suggesting that reef growth is more prominent on those mound flanks where (engineered) bottom currents are accelerated (i.e. front and rear) than on the flanks where (en- gineered) bottom currents are decelerated; Mohn et al., 2014). High coral rubble cover correlated to strong upward velocities in August, whereas high reef and sediment cover correlated to weak upward velocities in February. This suggests that strong upwelling occurs mostly around the mound flanks and not around the mound summit and foot. Flow induced up- and downwelling over coral mounds is often mentioned as an important food supply mechanism to cold-water coral reefs . During a tidal cycle, isopycnals are depressed at the mound flank, and at the turning of the tide, an internal bore is formed that propagates over the mound flank towards the summit . The vertical length scale of these excursions follows the length scale of the mound . Larger coral mounds generally have a larger effect on hydrodynamics than smaller mounds; Lim et al., 2018; van der Kaaden et al., 2021). This underlines the mound ecosystem engineer- ing aspect of hydrodynamic zonation and benthic zonation: as the coral mound grows taller, the formerly higher flank regions on the mound that were suitable for coral growth become unsuitable lower flank regions, thereby maintaining the typical reef zonation and causing a so-called Massener- hebung effect. The Massenerhebung effect was first described for the zonation of flora and fauna on terrestrial mountains . Terres- trial mountains exhibit zones with a typical flora and fauna that are determined by various factors such as temperature, humidity, and solar radiation. These zones vary with rela- tive altitude on the mountain but not with the absolute height above the ground because of feedbacks between the size of the mountain and the environment . A perhaps surprising result of this effect is that, for example, the treeline lies higher on higher moun- tains than on lower mountains. Genin et al. report that cold-water coral presence is also related to the posi- tion on the mound rather than the actual height above the seafloor or depth in the water column. Here, we hypothesize that this Massenerhebung effect, whereby the distribution of organisms is determined by feedbacks between the mountain and the environment, applies to cold-water coral mounds too. Since depth is also an important variable explaining benthic cover, it is likely that the position of cold-water coral reefs on coral mounds is determined by the feedbacks between the mound and the hydrodynamics but that shallower m", "deleted_count": 16, "triggered_rules": ["remove_citations", "figure_or_table", "chapter_titles", "fig_table_ref"]}
+{"cleaned_text": "Here, we hypothesize that this Massenerhebung effect, whereby the distribution of organisms is determined by feedbacks between the mountain and the environment, applies to cold-water coral mounds too. Since depth is also an important variable explaining benthic cover, it is likely that the position of cold-water coral reefs on coral mounds is determined by the feedbacks between the mound and the hydrodynamics but that shallower mounds have a denser reef cover than deeper mounds. Ecosystem-engineering effects on cold-water corals and climate change Cold-water coral mounds seem to exhibit a zone with pre- dominantly upward water motions on the mound flanks and a zone with predominantly downward water motions around the mound summit. The summit and upper flank seem to be most suitable for cold-water coral growth, likely because downward water motions accelerate the downward transport of organic matter. In contrast, on the coral mound flanks, coral rubble and dead-coral frameworks are more abundant than live corals. Nutrient-rich deep water is pushed up to- wards the lower mound flanks , and the community associated with the dead coral framework re- leases substantial amounts of nutrients . These nutrients might be transported by the predominantly upward water motions towards the ocean surface . This might benefit the coral reefs as a global review and studies on millennial timescales show the benefits of increased primary productivity for coral reef growth. The upward wa- ter motions around the mound flanks likely also resuspend deposited particles. These particles are transported higher up the mound by lateral advection where they supply the corals with additional food . Factors other than food supply also influence cold-water coral growth, such as biogeochemical seawater properties (Flögel et al., 2014; da Costa Portilho-Ramos et al., 2022; Fink et al., 2012). Deep water that is upwelled around cold- water coral mounds typically has lower temperatures, oxy- gen content, and aragonite saturation than water from higher in the water column that is downwelled (Findlay et al., 2013, 2014; Mienis et al., 2007; Flögel et al., 2014). The mound zone influenced by downward water motions therefore likely experiences higher temperatures, oxygen content, and arago- nite saturation state than the region of upward water motions. While higher oxygen content and aragonite saturation state would benefit cold-water corals , higher temperatures might have an adverse effect . Currently, most cold-water corals occur within their thermal tolerance . A higher temperature may be beneficial but only up to the up- per limit of the thermal tolerance range (Büscher et al., 2022; Dodds et al., 2007). Increased temperatures from global change increase the energy demand of cold-water corals . When not compen- sated for by sufficient food supply, the framework-forming cold-water coral habitat is expected to move to deeper wa- ters . Our results show that this poses a problem to cold-water corals and their associated fauna liv- ing on mounds as the corals prefer the downwelling zone where they profit from a higher vertical particle flux, oxy- gen content, and aragonite saturation state. The temperatures in this zone, however, might become unfavourable in the fu- ture. Further down the mound flank is the upwelling zone that seems less suitable for cold-water coral growth. Studies look- ing into", "deleted_count": 12, "triggered_rules": ["trim_garbage_start", "remove_citations"]}
diff --git a/policy_analysis/data/conclusions&pollitiques_gold.jsonl b/policy_analysis/dspy_policies_and_taxonomy_extraction/model_training_data/gold_policy.jsonl
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rename from policy_analysis/data/conclusions&pollitiques_gold.jsonl
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/model_training_data/gold_policy.jsonl
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/model_training_data/gold_taxonomy.jsonl b/policy_analysis/dspy_policies_and_taxonomy_extraction/model_training_data/gold_taxonomy.jsonl
new file mode 100644
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@@ -0,0 +1,32 @@
+{"question": "5. Conclusions\n\nOur study assessed the impacts of climate variables and droughts in the Orinoco River Basin using a combination of Earth observation data and surface observations. Our key findings include the following:\ni. El Niño events worsen the region’s drought conditions, while Atlantic SST variability has less influence.\nii. Long-term surface warming trends increase the evapotranspiration demand, aggravating drought conditions. However, vegetation greenness remains high despite high surface temperatures, suggesting that temperature alone does not significantly affect vegetation phenology and root zone water reserves. A sustained rainfall deficit is necessary to cause observable changes in the vegetation and soil conditions.\niii. Droughts severely impact the infiltration–percolation process, affecting the long-term recharge rate of aquifers and their ecological flow contributions.", "regional_group": "Latin American and Caribbean States", "geographical_scopes": ["Regions or world"], "main_country_focus": ["Venezuela", "Colombia"], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": ["Climate Change", "Freshwater Use"]}
+{"question": "Our study demonstrates the value of using a combination of Earth observation data and surface observations for a broad-scale, comprehensive assessment of drought impacts. This approach enables a deep understanding of drought dynamics over large geographical areas, providing crucial insights into potential implications for water availability, agricultural productivity, and overall ecosystem health.", "regional_group": null, "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": ["Nutrition"], "natural_ressource": ["Freshwater"], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "Given the increasing occurrence and intensity of droughts, our study underlines the urgent need for proactive, adaptive management strategies. It highlights the importance of recognizing and understanding the impacts of anomalously hot months and potential changes in hydrological regimes to mitigate adverse effects on ecosystems and human populations. This research also urges policymakers to use this knowledge to make informed decisions regarding sustainable water management practices in the face of the mounting challenges posed by climate change.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "However, our study also has some limitations that need to be addressed in future research. For instance, we did not analyze the couplings between atmospheric and oceanic modes of variability and the changes that occur at different time scales in the biophysical variables of the basin during the presence of dry conditions. Moreover, we did not consider other drought indices that could provide complementary information on different aspects of drought severity and duration. Therefore, more research is needed, using more sophisticated methods to explore these aspects and to improve our understanding of the complex interactions between climate variability and drought impacts in the Orinoco River Basin.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "Conclusion\n\nThe aim of the current study was to investigate whether students’ gender and minority background were moderators of teacher expectation effects for mathematics outcomes as well as self-concept and subjective task value in the mathematics domain. This study adds to the current knowledge base by empirically studying moderator effects of both gender and minority background. Additionally, whereas previous research mostly investigated self-concept only, we investigated the association between teacher expectations and students’ self-concept as well as their subjective task values (intrinsic and utility value).", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Education"], "natural_ressource": [], "wellbeing": ["Education"], "justice_consideration": ["Distributional"], "planetary_boundaries": []}
+{"question": "Research question 1\nRegarding the first research question, in line with societal stereotypes and after controlling for students’ beginning-of-year mathematics achievement, teacher expectations were higher for Asian and lower for Māori, compared with NZ European students. These findings are in line with previous research in the same context (Turner et al., 2015), but also corroborate findings from other educational systems that teachers differentiate in their expectations based on students’ minority background (e.g., Glock & Krolak-Schwerdt, 2013; Tenenbaum & Ruck, 2007; Timmermans et al., 2015, 2018). However, contrary to the expected stereotypes, expectations within the domain of mathematics were higher for girls than for boys. This finding is inconsistent with earlier research as it has also been found that, in line with stereotypes, girls have been the target of low expectations in mathematics (Jussim et al., 1996). However, there is also some evidence (Jaremus et al., 2020) that expectations for girls and boys in mathematics at the elementary and middle school level are less differentiated (e.g., Gentrup & Rjosk, 2018) and that it is at higher levels of schooling (secondary and tertiary) where teachers tend to have higher expectations for boys in the STEM fields. Perhaps, this finding is a reflection of teachers more often disapproving of boys’ classroom behavior, causing boys generally to be perceived as academically poorer students (e.g., Bennett et al., 1993; Harlen, 2005; Hecht & Greenfield, 2002; Kenney-Benson et al., 2006). Moreover, the New Zealand public have been made aware of societal stereotypes related to girls in STEM and how greater numbers of girls need to be encouraged into these fields (e.g., https://www.curiousminds.nz/actions/community/women-and-girls/). It may be that this information has led teachers to more carefully consider the capabilities of girls in mathematics. All in all, these findings suggest that for students with comparable levels of achievement in the mathematics domain, teachers may hold different expectations because of their gender or ethnicity.", "regional_group":  "Oceania", "geographical_scopes": ["Countries"], "main_country_focus": ["New Zealand"], "human_needs": ["Education"], "natural_ressource": [], "wellbeing": ["Education", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": []}
+{"question": "Moreover, after controlling for background variables and beginning-of-year achievement, student self-concept and, to a lesser extent, interest in mathematics were associated with teachers’ expectations. This implies that teachers base their expectations on a wider range of student characteristics than just achievement and demographic background (Timmermans et al., 2016, 2019). Teachers’ expectations for the academic achievement of elementary school students have been found to be positively related to students’ perceived assertiveness, independence (Alvridez & Weinstein, 1999; Bonvin & Genoud 2006; Rubie-Davies, 2010), self-confidence (Driessen, 2006; Rubie-Davies, 2010), and self-concept (Upadyaya & Eccles, 2015). These studies have indicated that teachers tend to have higher expectations of a student they perceive of as independent, more confident, or with a greater self-concept. Although it is generally assumed that teachers use these student attributes in shaping their expectations (e.g., Rubie-Davies, 2008), the empirical evidence is still rather limited. The current finding therefore presents an important addition to the limited evidence base.", "regional_group": null, "geographical_scopes": [], "main_country_focus": ["New Zealand"], "human_needs": ["Education"], "natural_ressource": [], "wellbeing": ["Education", "Community"], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "Research question 2: Regarding the second research question, teachers’ beginning-year expectations were predictive of achievement and self-concept of students at end-of-year. For mathematics achievement, these findings correspond to numerous studies showing that differential expectations are confirmed in generally small to moderate self-fulfilling prophecies in various academic domains (e.g., Jussim & Harber 2005; Rubie-Davies 2008; Tenenbaum & Ruck, 2007; Wang et al., 2018). The finding that beginning-of-year teacher expectations are not only predictive of achievement but also of students’ self-concept is an important contribution for two reasons. First, many previous studies have failed to take initial self-concept into account; therefore, it has remained largely unknown whether the reported positive associations were spurious. Second, children’s perceptions of themselves affect their motivation and subsequent behavior (Bandura, 1986; Dweck & Leggett, 1988; Harter, 1983; Marsh, 1990). The finding that teacher expectations are predictive of later student self-concept is in line with Expectancy-Value Theory (Eccles, 1983). It seems that the teachers’ expectations serve as an evaluation of a significant other (e.g., Bong & Skaalvik, 2003; Gniewosz et al., 2014; Shavelson et al., 1976), and when felt and regarded as support and acceptance by students, these expectations lead the student to evaluate themselves more positively (Liu & Wang, 2008).", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Education"], "natural_ressource": [], "wellbeing": ["Education", "Community"], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "Previous research had shown positive correlations between teacher expectations and subjective task values, as expectations were positively related to utility value (e.g., Benner & Mistry, 2007; Boerma et al., 2016; Gilbert et al., 2014; Lazarides and Watt, 2015) and intrinsic value (Woolley et al., 2010). The current study, however, failed to find this association. Various methodological differences may account for the difference in findings. Some prior studies tested this association in a different or combined subject domains (Benner & Mistry, 2007; Boerma et al., 2016), or included students’ perceptions of teacher expectations instead of teacher ratings (Gilbert et al., 2014; Lazarides & Watt, 2015; Woolley et al., 2010). Furthermore, all studies above are based on data collections in which teacher expectations and task values were collected at a single moment. Perhaps, once controlled for beginning-of-year levels of intrinsic and utility value, teacher expectations are not strong enough to predict intrinsic and utility value about 8 months later. Alternatively, although it may be assumed that attitudes of socializers (i.e., teachers) affect students’ subjective task values (Wigfield & Eccles, 1992, 2000), this perhaps holds for other teacher attitudes but potentially does not include teachers’ performance expectations.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Education"], "natural_ressource": [], "wellbeing": ["Education", "Community"], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "Research question 3: Regarding the third research question, we expected that gender and minority background would moderate the effects of teacher expectations on mathematics performance (e.g., Boerma et al., 2016; McKown & Weinstein, 2002), with larger effects of expectations for stigmatized groups (girls in mathematics, students with minority backgrounds). In the current study, we did not find evidence for moderation effects of gender and minority background, which implies that, at least in the current sample, the effects of teacher expectations were of roughly similar magnitude for various student groups.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Education"], "natural_ressource": [], "wellbeing": ["Education", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": []}
+{"question": "Strengths and limitations: In interpreting the results of this study, a number of strengths and limitations need to be considered. Many available studies investigating the association between teacher expectations and subsequent student self-concept and task values have failed to control for measures of current levels of achievement and self-concept. It is therefore not possible from these studies to disentangle teacher expectation effects on these outcomes from potentially higher initial expectations for more confident, efficacious, or interested students (Timmermans et al., 2016). A major strength of the current study was the design with measures at both the beginning and end-of-school year and therefore the possibility to control for beginning-of-year ratings of students’ self-concept and task values. Therefore, the association that higher teacher expectations at beginning-of-year are predictive of greater self-concept at end-of-year and of the absence of an association with end-of-year intrinsic and utility value is possibly a more reliable and robust finding than that of earlier studies. Nevertheless, we cannot infer general conclusions about causal effects of teacher expectations as a potential important confounder may have been omitted from the multilevel models.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Education"], "natural_ressource": [], "wellbeing": ["Education", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": []}
+{"question": "Moreover, the sample of the study consisted of 1663 students and their teachers from three intermediate schools in the geographical Auckland area. Although the sample was of reasonable size at the student (n = 1663) and teacher (n = 42) level, the number of participating schools is rather small. Nevertheless, in the selection of the three participating intermediate schools, variation in student population in relation to socioeconomic status was explicitly considered. For future research, it would be beneficial to assess the generalizability of these associations using samples consisting of more schools. Moreover, it remains worthwhile to replicate this study in various contexts, educational systems (outside the Auckland area), and for different age groups, in order to investigate the generalizability of the findings.", "regional_group": "Oceania", "geographical_scopes": [], "main_country_focus": ["New Zealand"], "human_needs": ["Education"], "natural_ressource": [], "wellbeing": ["Education", "Community"], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "5. Conclusions: This study presented a consolidated framework for the vulnerability assessment of rural communities by indicating that rural–urban linkages are crucial in influencing flood vulnerability. To do so, this paper presented a thorough review of the concept of vulnerability, its components, and conceptual frameworks, as well as the examination of terms “rural” and “urban”, interaction theories, and a general understanding of rural–urban linkages. Theories and conceptual frameworks facilitated to identify factors that drive variation in rural–urban linkages and flood vulnerability. The review suggested that rural–urban linkages can be essential in influencing vulnerability of flood-prone rural communities which have not been given attention in previous conceptual frameworks. Thus, rural vulnerability to floods should not be studied in isolation, rather its relationship with urban areas is important to consider. It should not only be defined by the internal characteristics of its residents but also by considering the changing rural–urban interactions. Thus, rural–urban linkages may also provide an opportunity to reduce vulnerability of rural communities. The framework highlights to understand the multi-dimensional, differential, and dynamic nature of vulnerability and rural–urban linkages, the interaction between them, as well as the driving forces that shape the overall flood vulnerability of rural communities. Further, the role of city size and proximity is identified as an important research gap which is widely neglected in the discourse of flood vulnerability and could be imperative for improved understanding of rural vulnerability. The framework is useful for application at the local level in developing countries. It provides multiple and broad aspects for investigation and hence can be applied in any flood-affected rural area by using their context-specific information. For example, socioeconomic, physical, institutional factors differ spatially and temporally and so are the flows. Moreover, the framework is not limited to flooding (even though the discussion revolves around flood hazards) and can be a vade mecum for other hazards considering their character and scope of impacts. For example, droughts or extreme temperatures may not affect physical infrastructure in the same way as flooding and thus linkages as well as resulting vulnerability. In this context, the framework can guide factors and the nature of influence on linkages to examine vulnerability for other hazards and propose vulnerability and risk reduction measures accordingly. Furthermore, the effectiveness of the proposed framework can be evaluated and validated through empirical investigations. The framework is flexible and allows both qualitative and quantitative assessment of overall vulnerability based on the dynamics of rural–urban linkages. It gives freedom to develop area and hazard specific indicators and looks at overall vulnerability from the holistic and integrated perspective. Moreover, various methodological and analytical frameworks can be developed depending on different disciplines. The proposed framework has its limitations, it only considers rural areas as flood-prone and vulnerable and does not underscore how changing linkages and resulting vulnerability can indirectly affect urban areas/cities and vice versa. Moreover, urban–rural interrelationships and their related issues may vary across various regions of the world. The paper endorses that rural–urban linkages must be incorporated into vulnerability assessments of rural communities. The proposed framework can support disaster risk reduction and climate change adaptation of rural communities by highlighting the role of cities on which rural population depends. Considering this, in addition to rural areas, necessary measures can be developed to enhance the capacities of cities so that they can support rural areas. In this context, better information delivery mechanisms, short- and long-term employment opportunities in cities, controlling price inflation, the smooth and continuous supply of goods and services, intelligent investment decisions in the reconstruction and rehabilitation phase will be the relevant areas for policymaking to strengthen linkages, curtail vulnerability, and reduce disaster risk. Finally, the framework can be a useful tool in increasing awareness among disaster managers, regional planners, and policymakers at the local and regional levels regarding the complex and dynamic nature of vulnerability. It also calls to bring professionals from different fields—especially from climate change and disaster risk as well as regional and rural development planning communities—to coordinate and work together to gain an accurate understanding of rural–urban linkages and associated factors that determine flood vulnerability. It helps to prioritize the potential areas of intervention and delineate proper plans to support rural–urban linkages and reduce flood vulnerability as indicated earlier. The proposed framework contributes to recognize priority 1 of SFDRR, SDGs (goal 11 and 13), and a new urban agenda through enhanced understanding of vulnerability by suggesting the importance of linkages and facilitating the link between spatial planning and vulnerability discourse.", "regional_group": "World", "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": ["Community"], "justice_consideration": [], "planetary_boundaries": ["Climate Change"]}
+{"question": "5. Conclusion: When the case studies are examined, it is seen that economic, social and environmental constraints affect the solution. On the other hand, protecting the environment for future generations and efficient use of resources can be stated as a summary of environmental sustainability. Economic activities should not threaten natural ecosystems with limited resources and capacity. In this context, logistics centres, which save energy and resource use in the location selection model within the scope of green ports, are an important solution alternative for regions disadvantaged in terms of air pollution, traffic congestion and emissions. Thanks to the consolidation and connection of low-emission transport modes to be provided by logistics centres, greenhouse gas emissions caused by transportation and transportation activities will be reduced.", "regional_group": null, "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": ["Mobility"], "natural_ressource": ["Fossil Fuels"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Climate Change"]}
+{"question": "Based on the findings obtained, the criteria that will guide the construction of a new port can be reached from the said port investigations. As a matter of fact, while it cannot be expected that a port will have all the criteria at the same time, all of the port preference criteria have similar importance weights. In particular, the difference between port location, port fees and port infrastructure criteria is around 1.5%. This showed that there is no indispensable criterion for the selection of the main port within the scope of the study, and that all criteria must be found in the main port concept in a relationship. The importance weight of the proximity to the market and hinterland criteria was found to be 23.6%. Because proximity to the market and hinterland are related to how full the ship can leave the port at a point or how close it is to customer or industry needs. This criterion has been found to be the most important port selection criterion in many studies in the literature on port selection and the order of importance of port criteria. Right after this comes the port location criterion. This criterion is a criterion that directly affects the operational cost of the ship. The location of the port must give the ship a minimum deviation from its main course. At the same time, this criterion is closely related to proximity to the market and hinterland. As it can be understood from here, due to the technical and financial extra costs of the green port implementation, as well as the sanction burden of the green port implementation legislation, the location and proximity to the market criteria are much more decisive than ecological factors in the selection of the port establishment location.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Mobility"], "natural_ressource": [], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "On the other hand, when the relevant literature is evaluated; It can be said that there are few studies on which criteria should be considered in order for ports to receive green port certification, and besides, very different criteria are considered in these studies, that is, there is no unity. When this literature is examined in general; it can be said that the criteria of air pollution, water pollution, energy management and waste management come to the fore. It is natural for these criteria to come to the fore, as environmental issues are primarily considered in almost every sector that aims to alleviate the intensity of pollution, which is increasing day by day. In future studies, the potential of ports to be green ports can be evaluated. From this point of view, it can be suggested as a suggestion for ports that do not have green port certification to consider successful green port examples as role models. In addition, it can be said that the use of Multi-Criteria Decision Making (AHP, VIKOR, TOPSIS, ELECTRE etc.) techniques will give more accurate results, since it is a subject that requires consideration of both numerical and non-numerical criteria for studies to evaluate green port performances. In this context, it can be stated as another suggestion that ports should perform benefit, opportunity, cost and risk analysis and this can be resolved by the Analytical Network Process-Benefit, Opportunity, Cost and Risk (ANP-BOCR) method. In addition, the DEMATEL Method, which is frequently used in considering the relationships between the criteria, may be one of the techniques that researchers may prefer. However, it can be stated that the studies are generally published in journals such as \"\"The Asian Journal of Shipping and Logistics, Transportation Research Part\"\" and \"\"Research in Transportation Business & Management\"\" and that researchers may turn to these journals. As a result, the ever-decreasing resources and increasing pollution have brought the concept of sustainability to a more important dimension. The concept of sustainability, which is based on meeting the needs of the present generation without ignoring the needs of future generations, has made the ecological environment a priority and a demanded criterion in almost every sector. Green port and green logistics activities aiming to protect the environment can be given as examples. In this context, when environmental sustainability awareness is considered, the necessity of increasing the number of studies related to it emerges.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Mobility"], "natural_ressource": ["Freshwater"], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": ["Climate Change", "Atmospheric Aerosol Loading"]}
+{"question": "Conclusion: In summary, the previous evidence and present study suggest that yoga is an acceptable and safe intervention, which may result in clinically relevant improvements in pain and functional outcome associated with a range of musculoskeletal conditions such as muscular dystrophy, osteoarthritis, rheumatoid arthritis, etc. The present study would suggest that 1 week of yoga therapy (IAYT) may be useful in decreasing pain and increasing functional mobility in these patients over time.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Healthcare"], "natural_ressource": [], "wellbeing": ["Health"], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "The findings of this study demonstrate that distance of human dwellings to irrigated agriculture influences indoor Anopheles mosquito abundance and risk of malaria infection despite intensive malaria control and bed net usage. Further, this study reveals important effects of socioeconomics on malaria epidemiology; there is a linear relationship between the household wealth index and malaria risk. As the number and sizes of irrigation schemes expand in Malawi and the sub-Saharan region to boost economic growth and mitigate food insecurity concerns, it becomes important to consider how these types of economic improvements could affect malaria risk, particularly for those living in close proximity to irrigated sites. Appropriate control measures to curb malaria transmission enhanced by irrigated sites is imperative. It is important to maximize impact of available malaria control by ensuring adequate LLIN coverage and access to prompt treatment. Other additional measures may include larval source reduction through careful water resource management and larviciding of larval habitats, and indoor residual spray of insecticide for households near irrigation schemes among others. Future studies are needed to evaluate the impact of a community-led implementation of these control strategies on larval and adult vector abundance and malaria risk within irrigated agroecosystems.", "regional_group": "African States", "geographical_scopes": [], "main_country_focus": ["Malawi"], "human_needs": ["Healthcare"], "natural_ressource": ["Wetlands"], "wellbeing": ["Health", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "5 Conclusion Strict environmental regulations and EU targets aimed at decreasing the level of CO2 emissions have placed the electrification of the transport system at the centre of policy attention. However, it gives rise to the new challenges regarding the possible impact of PHEVs penetration on power system stability. The problem is not only possible supply problems, but also within the network itself, which might not be able to deliver the needed power to some areas.", "regional_group": "Western European", "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": ["Mobility"], "natural_ressource": ["Fossil Fuels"], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": ["Climate Change"]}
+{"question": "The results show that the current grid might be unable to deal with the increasing load of PHEVs. Under the fixed price and time of use rate, a new peak will emerge in the late evening and this peak in many cases is higher than the existing peak without PHEVs. Therefore, there is a great possibility of congestion in the network, loss of voltage and frequency, and ultimately black outs. A similar situation holds for the controlled off peak charging under time of use rate. In comparison with uncontrolled charging, time of use rate does not provide a lower peak demand and it only decreases the duration of peak. These results suggest that even controlled off peak charging has a limited capacity and cannot be accounted as a comprehensive solution to the problem of PHEV's load.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Mobility"], "natural_ressource": [], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "However, the simulation results show that real time pricing in the smart grid environment will not deteriorate the current peak demand. Instead, the smart grid effectively distributes the demand over the off peak period. In winter, when the system reliability concerns increase, it can be seen that no new peak emerges. Similarly, in the summer the maximum demand including PHEVs is lower than the existing peak demand without PHEVs. Therefore, by the aid of demand response in the smart grid environment, accommodating a huge number of PHEVs becomes technically and economically feasible.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Mobility"], "natural_ressource": [], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "Conclusion The present paper analyzes and assesses from technical, economic and environmental viewpoints different initiatives in energy sector aiming at increasing energy efficiency in end use and reducing overall carbon emissions. Results are based on local energy planning studies for five **Italian** urban areas with about fifty thousand inhabitants. The analysis has been developed in order to reach generally applicable criteria suitable to evaluate the local energy policy contribute to the greenhouse gas (GHG) emissions reduction. The results point out the important contribution in GHG emission reduction coming from municipal institution, and the important role played by the municipalities in driving energy saving initiatives.", "regional_group": null, "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Fossil Fuels"], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": ["Climate Change"]}
+{"question": "CONCLUSION There was a very clear effect of seasonal temperature change on the burrowing rate, valve closure behaviour and locomotory speed in _A. anatina_. In addition, stark differences were seen in the oxygen consumption rates between summer- and winter-acclimatized _A. anatina_. We found only very limited evidence of thermal compensation. We are unaware of any data relating the behaviours we studied to temperature change; however, a comparison of previously published data examining the effects of temperature change on oxygen consumption from a range of bivalves is possible. Evidence from a number of marine (Newell and Pye, 1970a; Newell and Pye, 1970b; Widdows, 1973; Newell et al., 1977; Pernet et al., 2007; Resgalla et al., 2007; Pernet et al., 2008; Riascos et al., 2012) and freshwater (Hornbach et al., 1983; Baker and Hornbach, 2001; Alexander and McMahon, 2004) bivalve species indicates that bivalves compensate oxygen consumption rates at intermediate, and in some species, higher temperatures, while there is no evidence of compensation at lower temperatures. As our primary interest was the difference between summer- and winter-acclimatized mussels, we did not measure oxygen consumption rates in _A. anatina_ at intermediate temperatures as well, and cannot conclusively say whether _A. anatina_ partially compensates oxygen consumption at intermediate temperatures. Nonetheless, from Experiment 2, it is clear that there is no compensation of oxygen consumption rates evident between the summer and winter temperatures. If we consider parameters other than just the oxygen consumption for which we do have measurements at intermediate temperatures, i.e. Experiment 1's monthly measurements of BRI, valve closure duration and frequency and locomotory speed, we can see from the R–T plot linear regression parameters that there is only slight evidence of partial compensation for BRI and inverse compensation of locomotion, while valve closure behaviour was not compensated. Consequently, we would not expect to find significant compensation of the oxygen consumption rates at intermediate temperatures either.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "The lack of seasonal acclimatization to cold, winter temperatures seen in _A. anatina_ and the aforementioned species may be an energy-saving mechanism, allowing for a thermodynamically driven reduction in energetic requirements, which would correlate with seasonal reductions in food supply. This parallels similar conclusions from another study of the marine gastropod _Littorina saxatalis_ (Sokolov et al., 2003). Cold-acclimated specimens from the White Sea (where food is extremely scarce in winter) had a significantly lower metabolic rate than cold-acclimated conspecifics from the North Sea, which continue to feed and be active in winter. Yet warm-acclimated specimens from both areas had comparable oxygen consumption rates, and were both significantly higher than cold-acclimated rates.", "regional_group": "Western European", "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "One theoretical model that integrates dynamic energy budgeting (Kooijman, 2000) and the oxygen and capacity limitation of thermal tolerance (OCLTT) model (Pörtner, 2012) suggests that as acute thermal stress increases, oxygen supply and, as a consequence, oxygen consumption become increasingly limited, which leads to a progressive limitation in biological functioning. Working through a hierarchy of biological functions, an animal will progressively switch off less essential functions as oxygen supply and consumption become more limited. The first to go are lipid and carbohydrate storage, then reproduction and growth, followed by activity and finally homeostatic maintenance (Sokolova et al., 2012; Sokolova, 2013). What is neglected here is the process of feeding, which can come at a considerable energetic cost, provoking a significant increase in metabolic rate in bivalves (Lurman et al., 2013). Thus, we would expect that feeding would be one of the first processes, along with storage, that would be switched off, although in winter this may occur in response to a restricted food supply (see below). Much more work needs to be done to determine whether this model can be equally applied to acclimatization processes in _A. anatina_ and other animals, or whether all biological processes are downregulated/upregulated to the same degree as a result of decreasing/increasing temperature, such that the entire system is thermodynamically driven, or whether less essential biological functions are switched off in winter. We predict that it may turn out to be a mix of both.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "We are unable to know whether other biological rates such as feeding, growth or cellular processes were compensated as a result of seasonal temperature; however, the fact remains that _A. anatina_ did not (within the experimental errors of this study) thermally compensate BRI, valve closure behaviour, locomotory speed or oxygen consumption. Given that this species is in a temperate zone and experiences wide seasonal thermal variation as well as temperature fluctuations across days (rather than hours), current theory would suggest it should be highly plastic between seasons. These are all the conditions where we would expect thermal plasticity to evolve (Gabriel and Lynch, 1992; Angilletta, 2009). So, why do they not acclimatize? In short, because there is no evolutionary pressure to do so as the costs may outweigh the benefits. As exemplified by fishes, the primary factor driving thermal compensation is predation. A fish is either a predator or prey. In either case, it is of obvious advantage to maintain locomotory performance. Consequently, cold acclimation typically leads to compensation of a suite of biological processes that ultimately affect locomotion (e.g. Johnston and Temple, 2002; Woytanowski and Coughlin, 2013). Changes typically include alterations in the energy production machinery either at a molecular level, taking the form of alterations in enzyme isoform expression and membrane lipid compensation, or at the cellular level, with changes in mitochondrial volume density (Sidell, 1983; Johnston et al., 1998; Guderley, 2004b; Abele, 2012). In the muscle itself, there can be changes in ion channel function (McArdle and Johnston, 1982; Godiksen and Jessen, 2002) as well as changes in muscle fibre protein composition (Johnston and Temple, 2002; Tattersall et al., 2012) and recruitment order (Rome, 1990; Catalán et al., 2004). At a physiological level, there are also changes in cardiac function (Keen and Farrell, 1994; Lurman et al., 2012). These factors combined lead to maintained swimming performance despite changes in temperature, and thus maintained ability to out-swim predators or catch prey. Of course we cannot rule out similar molecular or cellular acclimation processes in _A. anatina_, despite our integrative measures generally showing otherwise.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": [], "natural_ressource": [], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "Indeed, similar compensatory mechanisms have been identified in bivalves (Abele, 2012). The only examination of bivalve locomotory performance we can find showed that swimming performance in the scallops _Chlamys islandica_ and _Euvola ziczac_ was not affected by changes in temperature; however, the recovery duration was prolonged (Guderley, 2004a). This can be explained in part by the fact that swimming is anaerobic, and thus relatively temperature independent. Recovery, by contrast, depends upon aerobic machinery, which is in turn dependent upon metabolic rates set, at least in part, by temperature.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": [], "natural_ressource": [], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "With respect to _A. anatina_, there is no reason to believe that these mussels are predated upon in their natural setting. What is more, even if they were, they would have no chance of out-running a predator given that their maximal ‘walking’ speed is less than 1 cm min−1 between 20 and 26°C. Indeed the best strategy they can, and indeed do, adopt is to simply shut their valves and wait for any predator to leave. In light of this, the longer a mussel can stay closed, the better. The consequence of which is that their metabolic rates are kept as low as possible. Moreover, these mussels are not active predators and compensation of locomotory rates to enable prey capture is equally unnecessary, and with respect to keeping the metabolic rate low, also of potential disadvantage. If they want to increase their feeding rate they must simply increase filtration rates, as seen in other bivalves (Thompson and Bayne, 1972; Riisgård et al., 2003). However, given that algal concentrations in freshwater bodies are generally low in winter months, there is little reason to increase filtration rates. Thus, being neither predator nor prey, there is little for _A. anatina_ to gain by increasing locomotory ability, as the increased metabolic rate would reduce their ability to close their valves when under threat, i.e. the costs must outweigh the benefits.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "That said, there are other forms of thermal compensation and acclimation that we did not explore. The phenomena of heat and cold hardening have been well studied in plants, bacteria and fruit flies. There is a clear demonstrable advantage where short-term exposure to very high or low, but non-lethal temperatures can result in a favourable shift in the upper or lower critical temperature, respectively, while other physiological and performance characteristics remain unchanged (Hoffmann, 1995). One study recently found that acclimation can have an (albeit minimal) affect on the upper critical thermal maximum in North American freshwater mussels, with an increase of 1–2°C following acclimation seen in two of three species tested (Galbraith et al., 2012). With many species living close to their upper thermal limit, a difference of 1–2°C may be the difference between life and death. It remains to be seen whether the thermal tolerance limits show signs of thermal compensation in _A. anatina_.", "regional_group": "North America", "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater"], "wellbeing": [], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity", "Climate Change"]}
+{"question": "To summarise, _A. anatina_, like many bivalves, has a very low-energy lifestyle. It inhabits a relatively stable thermal environment (in the short-term when compared with the marine intertidal), where temperature changes are slow. We suggest that these two factors serve as selective pressures for these mussels to not compensate behaviour or metabolic rate. Because their only predator avoidance mechanism is to close their valves, combined with the fact that they are subject to considerable seasonal fluctuations in food supplies, they instead simply allow their behaviour and metabolic rate to fluctuate at the behest of the seasons. Given the 500 million year fossil record for bivalves, this is most clearly an ecologically and evolutionary successful strategy that needs to be further explored and more explicitly considered in acclimation/acclimatization models.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": [], "natural_ressource": [], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity", "Climate Change"]}
+{"question": "CONCLUSIONS AND IMPLICATION In conclusion, the study found that while most participants knew the dietary influence on their  conditions, a significant proportion was unaware of it. Cultural practices, such as consuming  traditional carbohydrate-rich foods, posed a challenge to some participants in making proper  dietary choices. However, most patients had received the necessary support from family, spouses, and friends to adhere to the recommended changes in their diet. The findings also revealed that patients were willing to change their dietary practices and had adequate knowledge to self-manage their conditions. However, eating a balanced diet remained a challenge due to affordability and the availability of recommended foods. Overall, the study emphasised the significance of nutrition education and counselling in empowering patients to manage their conditions effectively.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Nutrition", "Healthcare", "Education"], "natural_ressource": [], "wellbeing": ["Education", "Health"], "justice_consideration": [], "planetary_boundaries": []}
+{"question": "Implications Based on the study's findings, there are several implications for healthcare workers and policymakers. While providing nutrition education and counselling is commendable, healthcare workers should put more effort into ensuring that the message is clearly understood by patients, especially those with poor knowledge. Furthermore, healthcare providers should consider cultural practices, such as consuming traditional foods, when developing patient 33 dietary plans. To help patients contextualise their knowledge, experiential learning through a hospital kitchen could greatly benefit. The study also indicates that food security remains a challenge in the country, and policymakers should develop strategies to ensure that food security is addressed, especially for the ageing population. Finally, the study revealed that a low proportion of participants had their HbA1c levels measured within the last three months, which is a concern that requires further investigation by the CDM clinic team.", "regional_group": null, "geographical_scopes": [], "main_country_focus": [], "human_needs": ["Nutrition", "Healthcare", "Education"], "natural_ressource": [], "wellbeing": ["Education", "Health"], "justice_consideration": [], "planetary_boundaries": []}
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+{"question": "Analysis of agricultural water management practices in Morocco indicates that the expansion of drip irrigation has contributed to measurable reductions in groundwater extraction rates, helping to stabilize local aquifers. However, these benefits are unevenly distributed, with smallholder farmers often lacking access to requisite technologies and facing barriers to implementation. As a result, there are significant distributional justice concerns that should be addressed to ensure equitable outcomes from water-saving interventions.", "regional_group": "African States", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["Morocco"], "human_needs": ["Nutrition"], "natural_ressource": ["Freshwater", "Agricultural Land"], "wellbeing": ["Environment", "Income"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Freshwater Use", "Land-System Change"]}
+{"question": "Findings from the recent assessment indicate that urban expansion in several major cities has led to the substantial conversion of agricultural land to urban land uses, with subsequent impacts on local food systems and ecosystem services. This transition has highlighted the need for integrated land management strategies that prioritize both the preservation of productive agricultural land and the provision of adequate housing. The evidence suggests that uncoordinated land-system change can undermine food security and community wellbeing, particularly for vulnerable populations residing in peri-urban areas.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["France", "Germany", "Netherlands"], "human_needs": ["Nutrition", "Shelter and living conditions"], "natural_ressource": ["Agricultural Land", "Urban Land"], "wellbeing": ["Housing", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change"]}
+{"question": "The increased integration of renewable energy sources into national grids has demonstrated significant reductions in greenhouse gas emissions, particularly in countries with supportive policy frameworks. However, the transition process often presents distributional challenges, as the economic impacts of shifting energy infrastructures are not uniformly experienced across populations. Empirical evidence indicates that targeted policy interventions are necessary to ensure equitable access to clean energy benefits and to mitigate adverse effects on vulnerable communities. This highlights the importance of incorporating justice considerations in the planning and implementation of national decarbonization strategies.", "regional_group": "Western European", "geographical_scopes": ["Countries"], "main_country_focus": ["Germany", "France", "Netherlands"], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Fossil Fuels"], "wellbeing": ["Environment", "Income"], "justice_consideration": ["Distributional", "Transitional"], "planetary_boundaries": ["Climate Change"]}
+{"question": "Analysis indicates that the expansion of agroforestry initiatives in several Latin American countries has contributed to increases in biomass productivity, while also playing a role in restoring degraded agricultural land. However, the benefits of these measures are unevenly distributed, with rural communities experiencing varying levels of improved livelihood security and ecosystem resilience depending on access to resources and technical support. These findings underscore the necessity of integrating both distributional and recognitional justice considerations into policy frameworks to ensure equitable outcomes and reinforce the contribution of agroforestry to biosphere integrity and land-system stability.", "regional_group": "Latin American and Caribbean States", "geographical_scopes": ["Countries"], "main_country_focus": ["Brazil", "Colombia", "Peru"], "human_needs": ["Nutrition"], "natural_ressource": ["Biomass", "Agricultural Land", "Forests"], "wellbeing": ["Community", "Environment"], "justice_consideration": ["Distributional", "Recognitional"], "planetary_boundaries": ["Biosphere Integrity", "Land-System Change"]}
+{"question": "Implications: The analysis demonstrates that increased urbanization in Western European regions has led to measurable declines in per capita green space and challenges in maintaining urban biodiversity. While local policies have aimed to integrate green corridors and enhance accessibility to natural areas, the cumulative effects of land conversion have limited the effectiveness of these interventions. This underscores the necessity for coordinated urban planning strategies that prioritize ecosystem connectivity and address the long-term impacts of land-system change on both environmental quality and community wellbeing. Enhanced stakeholder engagement and improved procedural justice in decision-making processes are recommended to ensure equitable access to remaining green spaces.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Urban Land", "Forests"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Procedural"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "The analysis of urban green space policies in major European cities indicates that equitable access to parks and recreational areas remains uneven across socioeconomic groups. These findings underscore the importance of integrating distributional and recognitional justice principles into future urban planning efforts to ensure that the environmental and health benefits of green infrastructure are shared more broadly.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["Germany", "France", "United Kingdom"], "human_needs": ["Shelter and living conditions", "Healthcare"], "natural_ressource": ["Urban Land"], "wellbeing": ["Health", "Environment", "Community"], "justice_consideration": ["Distributional", "Recognitional"], "planetary_boundaries": ["Land-System Change"]}
+{"question": "Emerging evidence demonstrates that the expansion of urban green spaces contributes to enhanced air quality and increased community engagement. However, equitable access remains limited in many metropolitan areas, particularly for marginalized populations. Strategic urban planning that prioritizes inclusive participation can help address these disparities. Furthermore, integrating nature-based solutions within city development frameworks not only supports human health and wellbeing but also mitigates the impacts of land-system change and atmospheric aerosol loading. Policymakers should consider both the distribution of green infrastructure benefits and opportunities for procedural justice in future urban sustainability initiatives.", "regional_group": "World", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Urban Land", "Forests"], "wellbeing": ["Environment", "Community", "Health"], "justice_consideration": ["Distributional", "Procedural"], "planetary_boundaries": ["Land-System Change", "Atmospheric Aerosol Loading"]}
+{"question": "Findings indicate that land-use transitions in Western European States, especially shifts from agricultural land to urban land, have contributed to measurable declines in regional biodiversity. Urban expansion has fragmented habitats and altered local climate patterns, underscoring the need for integrated planning approaches that balance development with the preservation of ecological integrity and community wellbeing.", "regional_group": "Western European", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Agricultural Land", "Urban Land"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "Recent assessments indicate that urban expansion within Southeast Asia has accelerated the conversion of agricultural land into built environments, leading to heightened pressure on local food systems and diminishing arable land availability. These transitions, if left unmanaged, risk exacerbating food insecurity and undermining regional biodiversity. Strategic urban planning and land-use governance are therefore crucial to balancing urban growth with the preservation of agricultural resources and ecosystem integrity.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": ["Nutrition", "Shelter and living conditions"], "natural_ressource": ["Agricultural Land", "Urban Land"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "The analysis indicates that rapid urban expansion in coastal regions has led to significant pressures on both marine resources and urban land, resulting in notable alterations to local ecosystems and increased vulnerability to sea-level rise. This calls for integrated land-use planning and marine spatial management approaches to balance development needs with the preservation of critical habitats and long-term community resilience.", "regional_group": null, "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Marine Resources", "Urban Land"], "wellbeing": ["Environment", "Housing"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "The analysis demonstrates that rapid urban expansion in several Asia-Pacific cities has resulted in significant conversion of agricultural land and wetlands, intensifying pressure on local freshwater resources and increasing risks to community health and safety. Policy interventions that integrate land-use planning with water management are essential to ensure the equitable distribution of resources and to maintain biosphere integrity in the face of ongoing land-system change.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions", "Healthcare"], "natural_ressource": ["Freshwater", "Agricultural Land", "Wetlands"], "wellbeing": ["Community", "Health", "Safety", "Environment"], "justice_consideration": ["Distributional", "Procedural"], "planetary_boundaries": ["Land-System Change", "Freshwater Use", "Biosphere Integrity"]}
+{"question": "Analysis indicates that the expansion of urban areas in coastal regions has led to significant pressures on both freshwater availability and marine ecosystems. Urbanization trends have increased demand on local water resources and contributed to the degradation of wetlands, accelerating biodiversity loss and reducing resilience to climate-related events. Effective policy interventions are required to balance urban development with ecosystem protection, particularly in rapidly growing metropolitan regions, to maintain ecological integrity and ensure continued access to essential resources for local communities.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Local or subnational", "Regions or world"], "main_country_focus": [], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Freshwater", "Wetlands", "Marine Resources"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity", "Freshwater Use"]}
+{"question": "The findings indicate that prolonged drought events in the Sahel region have significantly reduced agricultural productivity, exacerbating food insecurity and posing challenges to rural livelihoods. These environmental stressors have disproportionately affected access to freshwater for both household and agricultural purposes. Policy responses must therefore address not only the immediate nutritional needs but also the equitable allocation of water resources to support vulnerable communities.", "regional_group": "African States", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": ["Nutrition"], "natural_ressource": ["Freshwater", "Agricultural Land"], "wellbeing": ["Health", "Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Freshwater Use", "Climate Change"]}
+{"question": "Findings from the analysis indicate that recent policy reforms targeting urban green spaces in Western European cities have contributed to measurable improvements in air quality and biodiversity. The integration of nature-based solutions, such as the expansion of urban parks and restoration of native vegetation corridors, has not only enhanced ecosystem services but also fostered greater community engagement in environmental stewardship. However, the distributive effects of these interventions reveal persistent inequities in access to green infrastructure among socioeconomically disadvantaged neighborhoods, underscoring the need to prioritize distributional justice in future urban planning initiatives. These results provide evidence that urban greening strategies can simultaneously advance environmental quality and social wellbeing, provided that justice considerations are effectively embedded in policy design.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Forests", "Urban Land"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "The findings indicate that urban expansion in rapidly developing metropolitan areas has placed increasing pressure on local forests, resulting in habitat fragmentation and loss of ecosystem services. These developments underscore the need for integrated land-use planning that prioritizes the conservation of forested areas while accommodating urban growth. Addressing these challenges is crucial for safeguarding biodiversity and ensuring the continued provision of ecological benefits to urban populations.", "regional_group": null, "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Forests", "Urban Land"], "wellbeing": ["Environment"], "justice_consideration": [], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "The assessment indicates that urban expansion in Western European countries continues to encroach on agricultural land, posing substantial risks to local food security and ecosystem services. Although policy frameworks have promoted compact city strategies, implementation gaps remain, particularly in peri-urban areas. Strengthening land-use governance and incentivizing sustainable urban planning are critical to mitigate further loss of arable land and to safeguard both community resilience and environmental quality.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions", "Nutrition"], "natural_ressource": ["Agricultural Land", "Urban Land"], "wellbeing": ["Housing", "Environment", "Community"], "justice_consideration": ["Distributional", "Procedural"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "The analysis indicates that urban expansion in coastal cities is exerting growing pressure on limited freshwater resources, leading to increased competition between domestic, industrial, and agricultural users. Without integrated water management policies, this trend is likely to exacerbate water scarcity, undermine equitable access, and elevate risks to both public health and local ecosystems.", "regional_group": null, "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions", "Hygiene"], "natural_ressource": ["Freshwater", "Urban Land"], "wellbeing": ["Environment", "Health"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Freshwater Use", "Land-System Change"]}
+{"question": "Recent longitudinal analysis indicates that the implementation of sustainable agricultural practices in Brazil has resulted in measurable improvements in soil quality and biodiversity conservation. These shifts are associated with increased yields and resilience to climate variability, highlighting the importance of integrating environmental sustainability into food production systems to maintain agricultural productivity and ecosystem health.", "regional_group": "Latin American and Caribbean States", "geographical_scopes": ["Countries"], "main_country_focus": ["Brazil"], "human_needs": ["Nutrition"], "natural_ressource": ["Agricultural Land", "Forests", "Biomass"], "wellbeing": ["Environment", "Health"], "justice_consideration": ["Transitional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity", "Climate Change"]}
+{"question": "The findings indicate that recent drought events, exacerbated by climate change, have significantly affected agricultural production across several Eastern European States, posing risks to food security and rural livelihoods. Adaptive measures such as the promotion of drought-resistant crop varieties and improved irrigation management are deemed essential to sustain nutrition and income in the region. Furthermore, these impacts underline the importance of equitable resource distribution and participatory decision-making processes in developing effective climate adaptation strategies.", "regional_group": "Eastern European States", "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": ["Nutrition"], "natural_ressource": ["Freshwater", "Agricultural Land"], "wellbeing": ["Income", "Environment"], "justice_consideration": ["Distributional", "Procedural"], "planetary_boundaries": ["Climate Change", "Freshwater Use"]}
+{"question": "The implementation of large-scale reforestation initiatives across Southeast Asia has illustrated significant potential for enhancing carbon sequestration and restoring degraded ecosystems. However, the uneven access to land tenure and insufficient recognition of local communities' rights have, in certain instances, led to distributional inequities and limited the effectiveness of these efforts. Improved participatory approaches in project planning and ongoing policy support are needed to ensure that environmental benefits are distributed fairly and that vulnerable populations are meaningfully included in decision-making processes.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Forests"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Distributional", "Recognitional"], "planetary_boundaries": ["Climate Change", "Biosphere Integrity", "Land-System Change"]}
+{"question": "The findings demonstrate that intensified urban expansion in Western European cities has contributed to the significant reduction of peri-urban agricultural land, with implications for local food production and ecosystem services. This pattern underscores the necessity of integrating sustainable land-use planning into municipal policy to balance urban development with the preservation of productive landscapes. Future strategies should prioritize equitable access to green spaces and safeguard agricultural resources to maintain both community wellbeing and environmental integrity.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Nutrition", "Shelter and living conditions"], "natural_ressource": ["Agricultural Land", "Urban Land"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change"]}
+{"question": "Evidence from a multi-year monitoring program indicates that urban expansion in coastal zones of Southeast Asia is contributing to the loss of wetlands and a subsequent decline in local biodiversity. These land-use changes, driven by increased demand for residential and commercial space, highlight the need for integrated planning approaches to balance economic development with the preservation of wetland ecosystems and associated ecosystem services.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": ["Indonesia", "Vietnam", "Malaysia"], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Wetlands", "Urban Land"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional", "Recognitional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "The analysis indicates that implementation of large-scale wind energy projects in coastal regions has the potential to significantly reduce reliance on fossil fuels, with concomitant benefits for local air quality and public health. However, findings also highlight that equitable access to clean energy and careful consideration of community engagement processes are essential to avoid reinforcing existing socioeconomic disparities. Effective procedural justice mechanisms, including transparent decision-making and inclusive stakeholder participation, are critical to ensuring that affected communities are fairly represented in the planning and benefit-sharing of renewable energy transitions.", "regional_group": "Western European", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions", "Communication and information"], "natural_ressource": ["Fossil Fuels"], "wellbeing": ["Environment", "Health", "Civic Engagement"], "justice_consideration": ["Procedural", "Distributional"], "planetary_boundaries": ["Climate Change"]}
+{"question": "Findings indicate that implementing agroforestry practices in rural areas of Ghana can enhance food security while contributing to the conservation of forest resources. The adoption of these systems has been associated with increased crop yields and diversification of livelihoods, thereby improving community resilience to climate variability. However, ensuring equitable access to land and technical support remains critical for maximizing both social and environmental benefits.", "regional_group": "African States", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["Ghana"], "human_needs": ["Nutrition"], "natural_ressource": ["Forests", "Agricultural Land"], "wellbeing": ["Community", "Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Biosphere Integrity", "Land-System Change"]}
+{"question": "The findings indicate that the implementation of large-scale reforestation programs across several Latin American countries has resulted in measurable improvements in local biodiversity and carbon sequestration rates. These initiatives, while primarily aimed at restoring degraded lands, have also contributed to enhanced community engagement and job creation in rural areas. Continued support for such programs is projected to provide further benefits for ecosystem stability and climate mitigation efforts.", "regional_group": "Latin American and Caribbean States", "geographical_scopes": ["Countries"], "main_country_focus": ["Brazil", "Colombia", "Peru"], "human_needs": [], "natural_ressource": ["Forests", "Biomass"], "wellbeing": ["Environment", "Jobs", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Biosphere Integrity", "Climate Change"]}
+{"question": "Our analysis indicates that increasing urban expansion in Western European cities is exerting growing pressure on limited land resources, leading to significant alterations in land cover and fragmentation of natural habitats. These trends not only threaten local biodiversity but also compromise ecosystem services and the resilience of urban environments to climate-related hazards. As a result, integrated land-use planning that prioritizes sustainable urban development is essential to safeguard both ecological integrity and the well-being of urban residents.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Urban Land", "Forests"], "wellbeing": ["Environment", "Housing"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "Findings indicate that accelerating urban expansion in major Brazilian cities has led to significant conversion of agricultural land and forested areas into urban land over the past two decades. This shift has not only reduced available green spaces but also contributed to increased demand for freshwater resources and exacerbated local environmental pressures, particularly concerning water management and air quality. Such trends highlight the urgency for integrated urban planning policies to balance development with the preservation of natural resources and the maintenance of biosphere integrity.", "regional_group": "Latin American and Caribbean States", "geographical_scopes": ["Countries", "Local or subnational"], "main_country_focus": ["Brazil"], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Freshwater", "Agricultural Land", "Forests", "Urban Land"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Freshwater Use", "Biosphere Integrity"]}
+{"question": "Findings indicate that the implementation of urban green infrastructure policies in major metropolitan areas across Germany has led to measurable improvements in local air quality and biodiversity indices. The integration of green roofs, expanded parklands, and ecological corridors has contributed to enhanced ecosystem services, supporting both environmental resilience and public health benefits. However, disparities in access to green spaces persist, highlighting the need for distributional justice considerations in future policy development.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["Germany"], "human_needs": ["Shelter and living conditions", "Healthcare"], "natural_ressource": ["Urban Land", "Forests"], "wellbeing": ["Environment", "Health"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Biosphere Integrity", "Atmospheric Aerosol Loading"]}
+{"question": "The assessment demonstrates that the expansion of urban green spaces in major cities across Western Europe has contributed to improved air quality and enhanced community wellbeing. However, disparities in access to these amenities persist, necessitating more inclusive planning processes to address distributional justice. The findings support the integration of urban forestry initiatives as a climate adaptation strategy, particularly in densely populated urban areas susceptible to heatwaves.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Forests", "Urban Land"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Climate Change", "Biosphere Integrity"]}
+{"question": "The assessment indicates that rapid urban expansion in major metropolitan areas has contributed to significant loss of agricultural land, with repercussions for both food security and local biodiversity. Policy measures prioritizing compact urban development and the preservation of peri-urban farmland are therefore essential to mitigate further degradation of productive land and to sustain ecosystem services. Such strategies would support long-term resilience in food systems and help maintain regional biosphere integrity.", "regional_group": "World", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": ["Nutrition", "Shelter and living conditions"], "natural_ressource": ["Agricultural Land", "Urban Land"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "These findings indicate that the expansion of intensive agriculture in several Latin American countries has significantly contributed to the depletion of freshwater availability at the regional level. The increased irrigation demand, coupled with inefficient water management practices, has not only strained local hydrological cycles but has also heightened vulnerability to seasonal droughts in rural communities.", "regional_group": "Latin American and Caribbean States", "geographical_scopes": ["Regions or world"], "main_country_focus": ["Brazil", "Argentina", "Paraguay"], "human_needs": ["Nutrition"], "natural_ressource": ["Freshwater", "Agricultural Land"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Freshwater Use", "Land-System Change"]}
+{"question": "The analysis of urban green infrastructure initiatives across several Western European cities demonstrates a positive correlation between expanded green space access and improved local air quality indicators. Notably, interventions targeting densely populated districts yielded the greatest benefits in reducing particulate matter concentrations. These improvements contributed to enhanced public health outcomes and elevated measures of life satisfaction among residents. However, findings also indicate unequal distribution of these environmental benefits, with lower-income neighborhoods receiving comparatively fewer investments. Addressing these disparities will require procedural justice mechanisms to ensure equitable participation in urban planning processes.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["France", "Germany", "Netherlands"], "human_needs": [], "natural_ressource": ["Urban Land"], "wellbeing": ["Health", "Life Satisfaction", "Environment"], "justice_consideration": ["Distributional", "Procedural"], "planetary_boundaries": ["Atmospheric Aerosol Loading"]}
+{"question": "Findings suggest that accelerated rates of deforestation in Indonesia have direct implications for regional water cycles and biodiversity. The conversion of forested land to agricultural use has resulted in altered rainfall patterns and increased vulnerability to flooding in local communities. Protecting remaining forest areas is critical to maintaining ecosystem services and supporting both environmental stability and community wellbeing. Policy interventions must include equitable participation of indigenous groups to ensure that land management decisions reflect diverse interests and promote long-term sustainability.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Countries", "Local or subnational"], "main_country_focus": ["Indonesia"], "human_needs": [], "natural_ressource": ["Forests", "Freshwater", "Agricultural Land"], "wellbeing": ["Community", "Environment"], "justice_consideration": ["Procedural", "Recognitional"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity", "Freshwater Use"]}
+{"question": "Findings from the assessment of drought adaptation strategies in the agricultural sector indicate that targeted water management policies can significantly mitigate crop yield losses during prolonged dry periods. In particular, the adoption of efficient irrigation technologies and drought-resistant crop varieties in affected regions has improved both water use efficiency and agricultural productivity. These results underscore the importance of integrating climate resilience measures into agricultural planning to ensure food security and sustainable resource use.", "regional_group": "African States", "geographical_scopes": ["Regions or world"], "main_country_focus": [], "human_needs": ["Nutrition"], "natural_ressource": ["Freshwater", "Agricultural Land"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Climate Change", "Freshwater Use", "Land-System Change"]}
+{"question": "The implementation of urban greening initiatives across multiple metropolitan areas has demonstrated measurable improvements in local air quality and contributed to enhanced psychological wellbeing among residents. These findings reinforce the role of nature-based solutions in urban planning to address both environmental challenges and the mental health needs of growing urban populations.", "regional_group": null, "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Urban Land", "Forests"], "wellbeing": ["Environment", "Health", "Life Satisfaction"], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity"]}
+{"question": "This analysis highlights that urban expansion in coastal regions of Southeast Asia has accelerated wetland degradation and increased vulnerability to sea-level rise. The findings indicate that unplanned urban growth, in combination with insufficient regulatory frameworks, is undermining the resilience of wetland ecosystems, which are critical for flood mitigation and biodiversity. The study underscores the importance of integrated land-use planning and strengthened environmental governance to ensure the long-term sustainability of both urban communities and natural habitats in these rapidly developing areas.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Wetlands", "Urban Land"], "wellbeing": ["Environment", "Housing"], "justice_consideration": ["Distributional", "Procedural"], "planetary_boundaries": ["Land-System Change", "Biosphere Integrity"]}
+{"question": "Analysis of recent emissions data suggests that accelerated urban expansion in Western European cities has contributed to increased land-system change, affecting both urban land management and adjacent agricultural areas. This trend underscores the necessity for integrated spatial planning policies that balance urban development with the preservation of productive land resources, ensuring that housing needs are met sustainably while minimizing ecological impacts.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Urban Land", "Agricultural Land"], "wellbeing": ["Housing", "Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change"]}
+{"question": "The evaluation of post-implementation monitoring data from large-scale afforestation initiatives in Western Europe reveals that, while carbon sequestration targets are being met, unintended pressures on freshwater availability and local biodiversity have emerged. These findings emphasize the necessity of integrating adaptive management frameworks that consider both climate mitigation goals and the sustainable use of water resources. Furthermore, ensuring procedural justice through the participation of local communities during project planning and monitoring phases is critical to achieving equitable outcomes and maintaining biosphere integrity.", "regional_group": "Western European", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Freshwater", "Forests"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Procedural"], "planetary_boundaries": ["Climate Change", "Biosphere Integrity", "Freshwater Use"]}
+{"question": "The findings highlight that the implementation of urban green corridors significantly mitigates heat island effects, leading to measurable improvements in local microclimates and increased thermal comfort for urban residents. Additionally, expanding vegetated areas contributes to enhanced air quality and supports greater urban biodiversity, underscoring the multifaceted value of nature-based solutions in densely populated environments. Policymakers are encouraged to integrate green infrastructure into urban planning frameworks to simultaneously address climate adaptation, public health, and ecological resilience.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["Germany"], "human_needs": ["Shelter and living conditions", "Healthcare"], "natural_ressource": ["Urban Land", "Forests", "Biomass"], "wellbeing": ["Environment", "Health"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Climate Change", "Biosphere Integrity"]}
+{"question": "Findings\n\nA multi-year analysis of agricultural practices in Bangladesh reveals that the intensification of rice cultivation has resulted in significant groundwater depletion, with measurable consequences for both crop yields and household water security. The data indicate that current irrigation extraction rates exceed natural recharge capacities, raising long-term risks for food production and rural livelihoods. Policymakers are advised to consider integrated water resource management approaches to balance agricultural demands with sustainable groundwater use.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Countries"], "main_country_focus": ["Bangladesh"], "human_needs": ["Nutrition"], "natural_ressource": ["Freshwater", "Agricultural Land"], "wellbeing": ["Environment", "Health"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Freshwater Use", "Biogeochemical Flows"]}
+{"question": "The analysis indicates that rapid urban expansion in coastal regions is intensifying pressure on both freshwater availability and wetland ecosystems. Land-use changes associated with urbanization have contributed to the reduction of wetland areas, while simultaneously increasing local freshwater demand. These trends underscore the need for integrated urban planning approaches that prioritize the protection of critical natural resources and ensure equitable access to water for growing populations.", "regional_group": "World", "geographical_scopes": ["Regions or world", "Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Freshwater", "Wetlands", "Urban Land"], "wellbeing": ["Environment", "Housing"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Freshwater Use"]}
+{"question": "The implementation of urban greening policies in several Western European cities has resulted in measurable improvements in local air quality and increased access to recreational spaces. These policies have also contributed to enhanced urban biodiversity and have been associated with greater community well-being, particularly among socioeconomically disadvantaged populations. Findings underscore the importance of integrating environmental justice considerations into urban planning to ensure equitable distribution of green infrastructure benefits.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["France", "Germany", "Netherlands"], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Urban Land", "Forests", "Biomass"], "wellbeing": ["Environment", "Community", "Health"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Biosphere Integrity", "Atmospheric Aerosol Loading", "Land-System Change"]}
+{"question": "Findings indicate that increased groundwater extraction in several regions of India has led to heightened stress on freshwater availability and long-term aquifer sustainability. This trend is exacerbated by insufficient regulatory oversight and uneven access, raising significant concerns over water security for both agricultural and domestic needs. Policy interventions are required to ensure equitable distribution and promote sustainable groundwater management practices to safeguard future water supplies.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Regions or world", "Countries"], "main_country_focus": ["India"], "human_needs": ["Nutrition", "Hygiene"], "natural_ressource": ["Freshwater", "Agricultural Land"], "wellbeing": ["Health", "Environment"], "justice_consideration": ["Distributional", "Procedural"], "planetary_boundaries": ["Freshwater Use"]}
+{"question": "The results of the assessment indicate that expanding renewable energy infrastructure across Western European nations can significantly reduce dependence on fossil fuels, thereby improving air quality and contributing to climate mitigation goals. Additionally, the findings suggest that transitions in the energy sector present opportunities for job creation and income growth, provided that policies are designed to ensure equitable distribution of benefits across affected communities. The importance of implementing transitional justice measures is underscored, to address potential disparities among workers and regions during the decarbonization process.", "regional_group": "Western European", "geographical_scopes": ["Countries"], "main_country_focus": [], "human_needs": [], "natural_ressource": ["Fossil Fuels"], "wellbeing": ["Jobs", "Income", "Environment"], "justice_consideration": ["Transitional", "Distributional"], "planetary_boundaries": ["Climate Change"]}
+{"question": "The findings indicate that the increasing conversion of agricultural land to urban uses in rapidly expanding metropolitan areas has led to a measurable decline in both local food production capacity and ecosystem services. These land-system changes are associated with heightened pressures on freshwater resources, necessitating integrated planning approaches to balance urban development and resource conservation. Policymakers should prioritize the implementation of land use regulations and incentives that support sustainable urban expansion while safeguarding critical agricultural zones.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["India"], "human_needs": ["Nutrition", "Shelter and living conditions"], "natural_ressource": ["Agricultural Land", "Freshwater", "Urban Land"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change", "Freshwater Use"]}
+{"question": "Findings indicate that the implementation of urban green infrastructure has significantly contributed to improved air quality and enhanced thermal comfort in several metropolitan areas. These interventions offer not only environmental benefits but also support public health outcomes, particularly for vulnerable populations residing in densely populated districts. Policymakers are encouraged to integrate green spaces into urban planning to promote environmental justice and mitigate the disproportionate exposure to heat and pollution among marginalized communities.", "regional_group": null, "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Shelter and living conditions", "Healthcare"], "natural_ressource": ["Urban Land", "Forests"], "wellbeing": ["Environment", "Health", "Community"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Climate Change", "Biosphere Integrity"]}
+{"question": "Our analysis of urban expansion demonstrates a strong correlation between the loss of peri-urban agricultural land and the decline in local food security. The findings suggest that rapid land-use change, if left unregulated, can compromise both nutritional outcomes and environmental resilience, especially in densely populated metropolitan regions. This underscores the necessity for integrated spatial planning policies that prioritize sustainable land management to balance development needs with long-term resource stewardship.", "regional_group": null, "geographical_scopes": ["Local or subnational"], "main_country_focus": [], "human_needs": ["Nutrition", "Shelter and living conditions"], "natural_ressource": ["Agricultural Land", "Urban Land"], "wellbeing": ["Environment"], "justice_consideration": ["Distributional"], "planetary_boundaries": ["Land-System Change"]}
+{"question": "The analysis indicates that coastal urban expansion in Vietnam is intensifying pressure on marine resources and nearby wetlands, leading to heightened vulnerability for low-income communities reliant on fisheries. Unregulated land conversion for residential and commercial development is diminishing both ecosystem services and biodiversity. To address these concerns, stronger procedural justice measures, such as inclusive urban planning, are recommended to ensure equitable participation and sustainable outcomes. This underscores the importance of integrating marine and wetland conservation into urban policy frameworks to prevent irreversible biosphere integrity loss.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["Vietnam"], "human_needs": ["Shelter and living conditions"], "natural_ressource": ["Marine Resources", "Wetlands", "Urban Land"], "wellbeing": ["Community", "Environment"], "justice_consideration": ["Procedural"], "planetary_boundaries": ["Biosphere Integrity", "Land-System Change"]}
+{"question": "The evaluation of municipal waste management strategies in several urban centers across Germany highlights the effectiveness of integrated recycling programs in reducing landfill dependency and conserving non-metallic minerals. The findings suggest that policy interventions prioritizing circular economy principles can not only improve environmental outcomes but also contribute to community wellbeing by fostering civic engagement and job opportunities in the recycling sector.", "regional_group": "Western European", "geographical_scopes": ["Local or subnational"], "main_country_focus": ["Germany"], "human_needs": [], "natural_ressource": ["Non-Metallic Minerals"], "wellbeing": ["Community", "Jobs", "Civic Engagement", "Environment"], "justice_consideration": [], "planetary_boundaries": ["Biosphere Integrity", "Introduction of Novel Entities"]}
+{"question": "Findings indicate that regional implementation of integrated watershed management in the Mekong basin has enhanced both freshwater availability and ecosystem resilience, especially where transboundary cooperation mechanisms are robust. Improved allocation and monitoring have contributed to more equitable access among riparian communities while reducing pressures on aquatic biodiversity.", "regional_group": "Asia-Pacific States", "geographical_scopes": ["Regions or world"], "main_country_focus": ["Cambodia", "Laos", "Thailand", "Vietnam"], "human_needs": ["Freshwater"], "natural_ressource": ["Freshwater"], "wellbeing": ["Environment", "Community"], "justice_consideration": ["Distributional", "Procedural"], "planetary_boundaries": ["Freshwater Use", "Biosphere Integrity"]}
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/pipeline_policy_and_taxonomy_extraction.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/pipeline_policy_and_taxonomy_extraction.py
new file mode 100644
index 00000000..ff730570
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/pipeline_policy_and_taxonomy_extraction.py
@@ -0,0 +1,154 @@
+import dspy
+import os
+import pickle
+import pyarrow.parquet as pq
+import pandas as pd
+from dotenv import load_dotenv
+from tqdm import tqdm
+import json
+import contextlib
+import sys
+
+load_dotenv()
+
+# --------------------------------------------------
+# Helper to suppress ALL output (stdout and stderr)
+# --------------------------------------------------
+@contextlib.contextmanager
+def suppress_output():
+    """
+    Context manager to redirect both stdout and stderr to devnull.
+    This effectively silences dspy's internal print statements and progress bars.
+    """
+    with open(os.devnull, "w") as devnull:
+        old_stdout = sys.stdout
+        old_stderr = sys.stderr
+        sys.stdout = devnull
+        sys.stderr = devnull
+        try:
+            yield
+        finally:
+            sys.stdout = old_stdout
+            sys.stderr = old_stderr
+
+# --------------------------------------------------
+# DSPy setup
+# --------------------------------------------------
+"""lm = dspy.LM(
+    model="mistral/mistral-small-3.2-24b-instruct-2506:fp8",
+    api_key=os.getenv("SCALEWAY_API_KEY"),
+    api_base="https://37d2b07c-4a0b-4b15-aa11-0fb2fb89c078.ifr.fr-par.scaleway.com"
+)"""
+
+lm = dspy.LM(
+        model="mistral/mistral-small-3.2-24b-instruct-2506:fp8",
+        api_key=os.getenv('SCALEWAY_API_KEY'),
+        api_base="https://api.scaleway.ai/a2dc0d31-c47f-47f1-b0b9-9877dd4eb2b5"
+        )
+
+dspy.configure(lm=lm)
+
+# Load programs
+with open("saved_dspy_model/best_policy_extraction_model/program.pkl", "rb") as f:
+    policy_program = pickle.load(f)
+
+with open("saved_dspy_model/best_geo_impact_extraction_model/program.pkl", "rb") as f:
+    geo_program = pickle.load(f)
+
+# --------------------------------------------------
+# Parameters
+# --------------------------------------------------
+BATCH_SIZE = 128
+MAX_ROWS = 100 
+OUTPUT_PATH = "policy_extraction_outputs.jsonl"
+WRITE_BUFFER_SIZE = 200
+
+parquet_path = "C:/Users/calle/Downloads/chunked_results_conclusions_585k_cs1024_ov100_qw3-06B.parquet"
+parquet_file = pq.ParquetFile(parquet_path)
+
+rows_seen = 0
+# Initialize main progress bar
+pbar = tqdm(total=MAX_ROWS, desc="Processing rows", unit="row")
+
+# --------------------------------------------------
+# Main loop
+# --------------------------------------------------
+buffered_records = []
+
+with open(OUTPUT_PATH, "a", encoding="utf-8") as out_f:
+
+    for rg_idx in range(parquet_file.num_row_groups):
+        table = parquet_file.read_row_group(rg_idx, columns=["openalex_id","text", "chunk_idx"])
+        df = table.to_pandas()
+        df.reset_index(inplace=True)
+
+        batch_texts = []
+        batch_meta = []
+
+        for row in df.itertuples(index=False):
+            if rows_seen >= MAX_ROWS:
+                break
+            
+            openalex_id = row.openalex_id
+            text = row.text
+            chunk_idx = row.chunk_idx
+
+            batch_texts.append(text)
+            batch_meta.append((openalex_id, chunk_idx))
+
+            # Run models in batch when size is reached
+            if len(batch_texts) == BATCH_SIZE:
+                policy_examples = [dspy.Example(question=t).with_inputs("question") for t in batch_texts]
+                geo_examples = [dspy.Example(question=t).with_inputs("question") for t in batch_texts]
+
+                # --- CHANGE HERE: SUPPRESS BOTH STDOUT AND STDERR ---
+                with suppress_output():
+                    policy_outputs = policy_program.batch(policy_examples)
+                    geo_outputs = geo_program.batch(geo_examples)
+                # ----------------------------------------------------
+
+                for (text, (openalex_id, chunk_idx), p_out, g_out) in zip(
+                    batch_texts, batch_meta, policy_outputs, geo_outputs
+                ):
+                    policy_dict = p_out.toDict() if hasattr(p_out, "toDict") else p_out
+                    geo_dict = g_out.toDict() if hasattr(g_out, "toDict") else g_out
+
+                    policy_list = []
+                    if isinstance(policy_dict.get("response"), str):
+                        policy_list = [p.strip() for p in policy_dict["response"].split(";") if p.strip()]
+
+                    record = {
+                        "openalex_id": openalex_id,
+                        "chunk_id": chunk_idx,
+                        "input_text": text,
+                        "policy_list": policy_list,
+                        "regional_group": geo_dict.get("regional_group"),
+                        "geographical_scopes": geo_dict.get("geographical_scopes", []),
+                        "main_country_focus": geo_dict.get("main_country_focus", []),
+                        "human_needs": geo_dict.get("human_needs", []),
+                        "natural_resources": geo_dict.get("natural_ressource", []),
+                        "wellbeing": geo_dict.get("wellbeing", []),
+                        "justice": geo_dict.get("justice_consideration", []),
+                        "planetary_boundaries": geo_dict.get("planetary_boundaries", []),
+                    }
+
+                    buffered_records.append(record)
+                    rows_seen += 1
+                    pbar.update(1)
+
+                    if len(buffered_records) >= WRITE_BUFFER_SIZE:
+                        out_f.write("\n".join(json.dumps(r) for r in buffered_records) + "\n")
+                        buffered_records.clear()
+
+                batch_texts.clear()
+                batch_meta.clear()
+
+        if rows_seen >= MAX_ROWS:
+            break
+
+    if buffered_records:
+        out_f.write("\n".join(json.dumps(r) for r in buffered_records) + "\n")
+        buffered_records.clear()
+
+pbar.close()
+print(f"Finished {rows_seen} rows")
\ No newline at end of file
diff --git a/policy_analysis/dspy_policies_extraction/main.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/policy_extraction/policy_dspy_model_creation.py
similarity index 76%
rename from policy_analysis/dspy_policies_extraction/main.py
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/policy_extraction/policy_dspy_model_creation.py
index 8a72ba29..f238cbf3 100644
--- a/policy_analysis/dspy_policies_extraction/main.py
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/policy_extraction/policy_dspy_model_creation.py
@@ -3,14 +3,16 @@
 
 import json
 import os
-from pathlib import Path
 from dotenv import load_dotenv
+import pandas as pd
 from sentence_transformers import CrossEncoder
 import torch
 from datetime import datetime
 from dspy.adapters import JSONAdapter
 
 
+import math 
+# Load environment variables
 load_dotenv()
 
 # 1. Configuration
@@ -25,50 +27,30 @@
 ### OpenAI  API
 lm = dspy.LM("openai/gpt-4o-mini", api_key=os.getenv('OPENAI_API_KEY'))
 
-### Ollama Local Server 
-"""lm = dspy.LM(
-    "openai/llama3",
-    api_base="http://localhost:11434/v1",
-    api_key="None"
-    )"""
-
-## VLLM gpu server
-"""lm = dspy.LM(
-     #model="huggingface/mistralai/Ministral-3-14B-Instruct-2512",
-     model ="huggingface/mistralai/Mistral-Small-3.2-24B-Instruct-2506",
-     api_base="http://51.159.185.13:8000/v1",
-     api_key="llamalove",
-     max_tokens=2048
-)"""
 
 dspy.configure(lm=lm)
 model_used = lm.model.replace("/","_")
 # 2. Data Loading
 golden_dataset = []
-root = Path().cwd()
 
-gold_conclusion_fp = root / "data/conclusions&pollitiques_gold.jsonl"
-
-if gold_conclusion_fp.exists():
-    with gold_conclusion_fp.open('r', encoding='utf-8') as f:
+if os.path.exists('model_training_data/conclusions&pollitiques_gold.jsonl'):
+    with open('model_training_data/conclusions&pollitiques_gold.jsonl', 'r', encoding='utf-8') as f:
         for line in f:
             data = json.loads(line)
             example = dspy.Example(question=data['question'], response=data['response'])
             golden_dataset.append(example.with_inputs('question'))
 else:
-    exit (f"Data file {str(gold_conclusion_fp)} not found.")
+    exit ("Data file 'model_training_data/conclusions&pollitiques_gold.jsonl' not found.")
 
 syntetic_dataset = []
-syntetic_dataset_fp = root/"data/conclusions&pollitiques_synthetiques_diversifies.jsonl"
-
-if syntetic_dataset_fp.exists():
-    with syntetic_dataset_fp.open('r', encoding='utf-8') as f:
+if os.path.exists('model_training_data/conclusions&pollitiques_synthetiques_diversifies.jsonl'):
+    with open('model_training_data/conclusions&pollitiques_synthetiques_diversifies.jsonl', 'r', encoding='utf-8') as f:
         for line in f:
             data = json.loads(line)
             example = dspy.Example(question=data['question'], response=data['response'])
             syntetic_dataset.append(example.with_inputs('question'))
 else:
-    exit (f"Data file {str(syntetic_dataset_fp)} not found.")
+    exit ("Data file 'model_training_data/conclusions&pollitiques_synthetiques_diversifies.jsonl' not found.")
 
 # Meilleur score avec dataset synthetique petit  
 trainset = syntetic_dataset
@@ -141,10 +123,8 @@ def __call__(self,example, pred, trace=None):
 )
 timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
 
-file_root = Path(__file__).parent
-saved_dspy_path = file_root / "saved_dspy_model"
 
-optimized_score = optimized_evaluator(compiled_program,save_as_json=str(saved_dspy_path/f"{model_used}{timestamp}.json"))
+optimized_score = optimized_evaluator(compiled_program,save_as_json=f"saved_dspy_model/policy/{model_used}{timestamp}.json")
 print(optimized_score)
 
 score_str = f"{round(optimized_score.score,2)}".replace(".", "_") 
@@ -157,6 +137,6 @@ def __call__(self,example, pred, trace=None):
 print(f"Final Score on Validation Set (optimized): {optimized_score}%")
 
 # --- Saving the optimized model ---
-model_path = saved_dspy_path/f"{score_str}"
-compiled_program.save(str(model_path),save_program=True)
+model_path = f"saved_dspy_model/policy/{score_str}"
+compiled_program.save(model_path,save_program=True)
 print(f"Optimized model saved to {model_path}")
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/pyproject.toml b/policy_analysis/dspy_policies_and_taxonomy_extraction/pyproject.toml
new file mode 100644
index 00000000..bd54b35f
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/pyproject.toml
@@ -0,0 +1,19 @@
+[project]
+name = "dspyrag"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "accelerate>=1.12.0",
+    "datasets>=4.5.0",
+    "datetime>=6.0",
+    "dspy>=3.0.4",
+    "faiss-cpu>=1.13.0",
+    "openpyxl>=3.1.5",
+    "pandas>=2.3.3",
+    "pyarrow>=22.0.0",
+    "sentence-transformers>=5.1.2",
+    "torch>=2.9.1",
+    "transformers>=4.57.3",
+]
diff --git a/policy_analysis/dspy_policies_extraction/saved_dspy_model/81_46/metadata.json b/policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_geo_impact_extraction_model/metadata.json
similarity index 100%
rename from policy_analysis/dspy_policies_extraction/saved_dspy_model/81_46/metadata.json
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_geo_impact_extraction_model/metadata.json
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_geo_impact_extraction_model/program.pkl b/policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_geo_impact_extraction_model/program.pkl
new file mode 100644
index 00000000..265a6afd
Binary files /dev/null and b/policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_geo_impact_extraction_model/program.pkl differ
diff --git a/policy_analysis/dspy_policies_extraction/saved_dspy_model/Mistral-small_3.2_24b-instruct_86_93.json.json b/policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_policy_extraction_model/analysis_results.json
similarity index 100%
rename from policy_analysis/dspy_policies_extraction/saved_dspy_model/Mistral-small_3.2_24b-instruct_86_93.json.json
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_policy_extraction_model/analysis_results.json
diff --git a/policy_analysis/dspy_policies_extraction/saved_dspy_model/81_87/metadata.json b/policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_policy_extraction_model/metadata.json
similarity index 100%
rename from policy_analysis/dspy_policies_extraction/saved_dspy_model/81_87/metadata.json
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_policy_extraction_model/metadata.json
diff --git a/policy_analysis/dspy_policies_extraction/saved_dspy_model/86_93/program.pkl b/policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_policy_extraction_model/program.pkl
similarity index 100%
rename from policy_analysis/dspy_policies_extraction/saved_dspy_model/86_93/program.pkl
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/saved_dspy_model/best_policy_extraction_model/program.pkl
diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/__init__.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/synthetic_data_generation/__init__.py
similarity index 100%
rename from policy_analysis/src/policy_analysis/agentic_data_policies_extraction/__init__.py
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/synthetic_data_generation/__init__.py
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/synthetic_data_generation/taxonomy_data_generator.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/synthetic_data_generation/taxonomy_data_generator.py
new file mode 100644
index 00000000..38ba601d
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/synthetic_data_generation/taxonomy_data_generator.py
@@ -0,0 +1,156 @@
+from openai import OpenAI
+import json
+import time
+import os
+import re
+from dotenv import load_dotenv
+import random
+
+
+from taxonomy_extraction.geographical_taxonomy import (
+    Geographical_scope,
+    Studied_country,
+    Regional_group,
+)
+
+from taxonomy_extraction.Impact_taxonomy import (
+    Human_needs,
+    Natural_ressource,
+    Wellbeing,
+    Justice_consideration,
+    Planetary_boundaries,
+)
+
+
+load_dotenv()
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
+def extract_json(text):
+    """Extract the first JSON object from a string."""
+    try:
+        match = re.search(r'\{.*\}', text, re.DOTALL)
+        if match:
+            return json.loads(match.group())
+    except json.JSONDecodeError:
+        return None
+    return None
+
+
+def generate_synthetic_qa(existing_qa, n_samples=5, max_retries=3):
+    synthetic_data = []
+
+    for i in range(n_samples):
+        guidance_examples = random.sample(existing_qa, 4)
+
+        for attempt in range(max_retries):
+                
+            prompt = (
+                "You are generating synthetic scientific-policy text for a climate and environmental research dataset.\n\n"
+
+                "IMPORTANT: ALL taxonomy fields MUST strictly follow the allowed values below.\n\n"
+
+                "=== GEOGRAPHY TAXONOMY ===\n\n"
+
+                "Regional group (EXCLUSIVE, one value or null):\n"
+                f"{[e.value for e in Regional_group]}, the one impacted in the text if any\n\n"
+
+                "Geographical scopes (MULTIPLE CHOICE,none or one or more):\n"
+                f"{[e.value for e in Geographical_scope]} the ones impacted in the text if any\n\n"
+
+                "Studied countries (MULTIPLE CHOICE,none or one or more):\n"
+                f"{[e.value for e in Studied_country]}  the ones impacted in the text if any \n\n"
+
+                "Geography rules:\n"
+                "- Use ONLY values from the lists above\n"
+                "- Do NOT invent new regions or country names\n"
+                "- If the scope is global or regional, the country list may be empty\n"
+                "- regional_group must be null ONLY if it cannot be inferred\n\n"
+
+                "=== IMPACT TAXONOMY ===\n\n"
+
+                "Human needs (MULTIPLE CHOICE,none or one or more):\n"
+                f"{[e.value for e in Human_needs]}, the ones impacted explicitly in the text if any\n\n"
+
+                "Natural resources (MULTIPLE CHOICE,none or one or more):\n"
+                f"{[e.value for e in Natural_ressource]},the ones impacted explicitly in the text if any \n\n"
+
+                "Wellbeing (MULTIPLE CHOICE,none or one or more):\n"
+                f"{[e.value for e in Wellbeing]},the ones impacted explicitly in the text if any \n\n"
+
+                "Justice considerations (MULTIPLE CHOICE,none or one or more):\n"
+                f"{[e.value for e in Justice_consideration]},the ones impacted explicitly in the text if any \n\n"
+
+                "Planetary boundaries (MULTIPLE CHOICE,none or one or more):\n"
+                f"{[e.value for e in Planetary_boundaries]},the ones impacted explicitly in the text if any \n\n"
+
+                "Impact rules:\n"
+                "- Use ONLY values from the lists above\n"
+                "- Do NOT invent new labels\n"
+                "- Use empty arrays when no impact category applies\n"
+                "- Do NOT use null for impact fields\n\n"
+
+                "Generate ONE NEW entry that is:\n"
+                "- Written in a formal academic or policy-report tone\n"
+                "- Similar in length and structure to the examples\n"
+                "- Phrased as conclusions, findings, or implications (not a literal question)\n"
+                "- Novel in wording and focus\n\n"
+
+                "Output a VALID JSON object with EXACTLY these fields:\n"
+                "- question (string)\n"
+                "- regional_group (string or null)\n"
+                "- geographical_scopes (array of strings)\n"
+                "- main_country_focus (array of strings)\n"
+                "- human_needs (array of strings)\n"
+                "- natural_ressource (array of strings)\n"
+                "- wellbeing (array of strings)\n"
+                "- justice_consideration (array of strings)\n"
+                "- planetary_boundaries (array of strings)\n\n"
+
+                "Annotated examples:\n"
+                f"{json.dumps(guidance_examples, ensure_ascii=False, indent=2)}\n\n"
+                "Output ONLY the JSON object. No markdown. No explanation."
+            )
+
+
+            
+
+            response = client.chat.completions.create(
+                model="gpt-5",
+                messages=[{"role": "user", "content": prompt}],
+                temperature=0.8
+            )
+
+            text = response.choices[0].message.content
+            parsed = extract_json(text)
+
+            print(f"Attempt {attempt + 1} for sample {i}:\n{text}\n")
+
+            if parsed and isinstance(parsed, dict):
+                synthetic_data.append(parsed)
+                break
+            else:
+                print("Warning: Invalid JSON. Retrying...")
+                time.sleep(0.5)
+
+        else:
+            print(f"Skipping sample {i} after {max_retries} failed attempts.")
+
+    return synthetic_data
+
+
+# ---- EXAMPLE USAGE ----
+
+original = []
+with open("taxonomy_extraction/transformed_data_all.jsonl", "r", encoding="utf-8") as f:
+    for line in f:
+        original.append(json.loads(line))
+
+guidance_examples = original[:32]
+
+synthetic = generate_synthetic_qa(guidance_examples, n_samples=50)
+
+with open("synthetic_data-all.jsonl", "w", encoding="utf-8") as f:
+    for item in synthetic:
+        f.write(json.dumps(item, ensure_ascii=False) + "\n")
+
+print("Synthetic dataset saved to synthetic_data-all.jsonl")
diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/clients/__init__.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_definition/__init__.py
similarity index 100%
rename from policy_analysis/src/policy_analysis/agentic_data_policies_extraction/clients/__init__.py
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_definition/__init__.py
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_definition/geographical_taxonomy.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_definition/geographical_taxonomy.py
new file mode 100644
index 00000000..e471e712
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_definition/geographical_taxonomy.py
@@ -0,0 +1,213 @@
+from enum import Enum
+
+class Regional_group(str, Enum):  # Mandatory:	YES, Type:	EXCLUSIVE
+    world = "World"
+    african_states = "African States"
+    asia_pacific_states = "Asia-Pacific States"
+    eastern_european_states = "Eastern European States"
+    latin_american_and_caribbean_states = "Latin American and Caribbean States"
+    north_america = "North America"
+    western_european = "Western European"
+    oceania = "Oceania"
+
+
+class Geographical_scope(str, Enum):  # Mandatory:	YES, Type:	MUTLIPLE CHOICE
+    countries = "Countries"
+    regions_or_world = "Regions or world"
+    local_or_subnational = "Local or subnational"
+
+
+class Studied_country(str, Enum):  # Mandatory:	YES, Type:	MUTLIPLE CHOICE
+    afghanistan = "Afghanistan"
+    albania = "Albania"
+    algeria = "Algeria"
+    andorra = "Andorra"
+    angola = "Angola"
+    antigua_and_barbuda = "Antigua and Barbuda"
+    argentina = "Argentina"
+    armenia = "Armenia"
+    australia = "Australia"
+    austria = "Austria"
+    azerbaijan = "Azerbaijan"
+    bahamas = "Bahamas"
+    bahrain = "Bahrain"
+    bangladesh = "Bangladesh"
+    barbados = "Barbados"
+    belarus = "Belarus"
+    belgium = "Belgium"
+    belize = "Belize"
+    benin = "Benin"
+    bhutan = "Bhutan"
+    bolivia = "Bolivia"
+    bosnia_and_herzegovina = "Bosnia and Herzegovina"
+    botswana = "Botswana"
+    brazil = "Brazil"
+    brunei_darussalam = "Brunei Darussalam"
+    bulgaria = "Bulgaria"
+    burkina_faso = "Burkina Faso"
+    burundi = "Burundi"
+    cabo_verde = "Cabo Verde"
+    cambodia = "Cambodia"
+    cameroon = "Cameroon"
+    canada = "Canada"
+    central_african_republic = "Central African Republic"
+    chad = "Chad"
+    chile = "Chile"
+    china = "China"
+    colombia = "Colombia"
+    comoros = "Comoros"
+    congo = "Congo"
+    costa_rica = "Costa Rica"
+    croatia = "Croatia"
+    cuba = "Cuba"
+    cyprus = "Cyprus"
+    czech_republic = "Czech Republic"
+    democratic_republic_of_the_congo = "Democratic Republic of the Congo"
+    denmark = "Denmark"
+    djibouti = "Djibouti"
+    dominica = "Dominica"
+    dominican_republic = "Dominican Republic"
+    ecuador = "Ecuador"
+    egypt = "Egypt"
+    el_salvador = "El Salvador"
+    equatorial_guinea = "Equatorial Guinea"
+    eritrea = "Eritrea"
+    estonia = "Estonia"
+    eswatini_swaziland = "Eswatini (Swaziland)"
+    ethiopia = "Ethiopia"
+    fiji = "Fiji"
+    finland = "Finland"
+    france = "France"
+    gabon = "Gabon"
+    gambia = "Gambia"
+    georgia = "Georgia"
+    germany = "Germany"
+    ghana = "Ghana"
+    greece = "Greece"
+    grenada = "Grenada"
+    guatemala = "Guatemala"
+    guinea = "Guinea"
+    guinea_bissau = "Guinea-Bissau"
+    guyana = "Guyana"
+    haiti = "Haiti"
+    honduras = "Honduras"
+    hungary = "Hungary"
+    iceland = "Iceland"
+    india = "India"
+    indonesia = "Indonesia"
+    iran = "Iran"
+    iraq = "Iraq"
+    ireland = "Ireland"
+    israel = "Israel"
+    italy = "Italy"
+    jamaica = "Jamaica"
+    japan = "Japan"
+    jordan = "Jordan"
+    kazakhstan = "Kazakhstan"
+    kenya = "Kenya"
+    kiribati = "Kiribati"
+    korea_north = "Korea, North"
+    korea_south = "Korea, South"
+    kuwait = "Kuwait"
+    kyrgyzstan = "Kyrgyzstan"
+    laos = "Laos"
+    latvia = "Latvia"
+    lebanon = "Lebanon"
+    lesotho = "Lesotho"
+    liberia = "Liberia"
+    libya = "Libya"
+    liechtenstein = "Liechtenstein"
+    lithuania = "Lithuania"
+    luxembourg = "Luxembourg"
+    madagascar = "Madagascar"
+    malawi = "Malawi"
+    malaysia = "Malaysia"
+    maldives = "Maldives"
+    mali = "Mali"
+    malta = "Malta"
+    marshall_islands = "Marshall Islands"
+    mauritania = "Mauritania"
+    mauritius = "Mauritius"
+    mexico = "Mexico"
+    micronesia = "Micronesia"
+    moldova = "Moldova"
+    monaco = "Monaco"
+    mongolia = "Mongolia"
+    montenegro = "Montenegro"
+    morocco = "Morocco"
+    mozambique = "Mozambique"
+    myanmar = "Myanmar"
+    namibia = "Namibia"
+    nauru = "Nauru"
+    nepal = "Nepal"
+    netherlands = "Netherlands"
+    new_zealand = "New Zealand"
+    nicaragua = "Nicaragua"
+    niger = "Niger"
+    nigeria = "Nigeria"
+    north_macedonia = "North Macedonia"
+    norway = "Norway"
+    oman = "Oman"
+    pakistan = "Pakistan"
+    palau = "Palau"
+    panama = "Panama"
+    papua_new_guinea = "Papua New Guinea"
+    paraguay = "Paraguay"
+    peru = "Peru"
+    philippines = "Philippines"
+    poland = "Poland"
+    portugal = "Portugal"
+    qatar = "Qatar"
+    romania = "Romania"
+    russia = "Russia"
+    rwanda = "Rwanda"
+    saint_kitts_and_nevis = "Saint Kitts and Nevis"
+    saint_lucia = "Saint Lucia"
+    saint_vincent_and_the_grenadines = "Saint Vincent and the Grenadines"
+    samoa = "Samoa"
+    san_marino = "San Marino"
+    sao_tome_and_principe = "Sao Tome and Principe"
+    saudi_arabia = "Saudi Arabia"
+    senegal = "Senegal"
+    serbia = "Serbia"
+    seychelles = "Seychelles"
+    sierra_leone = "Sierra Leone"
+    singapore = "Singapore"
+    slovakia = "Slovakia"
+    slovenia = "Slovenia"
+    solomon_islands = "Solomon Islands"
+    somalia = "Somalia"
+    south_africa = "South Africa"
+    south_sudan = "South Sudan"
+    spain = "Spain"
+    sri_lanka = "Sri Lanka"
+    sudan = "Sudan"
+    suriname = "Suriname"
+    sweden = "Sweden"
+    switzerland = "Switzerland"
+    syria = "Syria"
+    tajikistan = "Tajikistan"
+    tanzania = "Tanzania"
+    thailand = "Thailand"
+    timor_leste = "Timor-Leste"
+    togo = "Togo"
+    tonga = "Tonga"
+    trinidad_and_tobago = "Trinidad and Tobago"
+    tunisia = "Tunisia"
+    turkey = "Turkey"
+    turkmenistan = "Turkmenistan"
+    tuvalu = "Tuvalu"
+    uganda = "Uganda"
+    ukraine = "Ukraine"
+    united_arab_emirates = "United Arab Emirates"
+    united_kingdom = "United Kingdom"
+    united_states = "United States"
+    uruguay = "Uruguay"
+    uzbekistan = "Uzbekistan"
+    vanuatu = "Vanuatu"
+    vatican_city = "Vatican City (Holy See)"
+    venezuela = "Venezuela"
+    vietnam = "Vietnam"
+    yemen = "Yemen"
+    zambia = "Zambia"
+    zimbabwe = "Zimbabwe"
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_definition/impact_taxonomy.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_definition/impact_taxonomy.py
new file mode 100644
index 00000000..1626df32
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_definition/impact_taxonomy.py
@@ -0,0 +1,108 @@
+from enum import Enum
+
+class Human_needs(str, Enum):
+    nutrition = "Nutrition"
+    shelter_and_living_conditions = "Shelter and living conditions"
+    hygiene = "Hygiene"
+    clothing = "Clothing"
+    healthcare = "Healthcare"
+    education = "Education"
+    communication_and_information = "Communication and information"
+    mobility = "Mobility"
+
+
+class Studied_sector(str, Enum):
+    agriculture_forestry_fishing = "Agriculture, forestry, fishing"
+    mining_and_quarrying = "Mining and quarrying"
+    manufacturing = "Manufacturing"
+    electricity_gas_steam_air_conditioning = "Electricity, gas, steam, air conditioning"
+    water_sewerage_waste = "Water, sewerage, waste"
+    construction = "Construction"
+    trade_vehicle_motorcycle_repair = "Trade; vehicle and motorcycle repair"
+    transport_storage = "Transport and storage"
+    accommodation_food_services = "Accommodation and food services"
+    information_communication = "Information and communication"
+    financial_insurance_services = "Financial and insurance services"
+    real_estate = "Real estate"
+    professional_scientific_technical_services = "Professional, scientific, technical services"
+    administrative_support_services = "Administrative and support services"
+    public_administration_defence_social_security = (
+        "Public administration, defence, social security"
+    )
+    education = "Education"
+    health_social_work = "Health and social work"
+    arts_entertainment_recreation = "Arts, entertainment, recreation"
+    other_services = "Other services"
+    household_employment_goods_services_for_own_use = (
+        "Household employment, goods/services for own use"
+    )
+    extraterritorial_organizations = "Extraterritorial organizations"
+
+
+class Studied_policy_area(str, Enum):
+    jobs = "Jobs"
+    social_rights = "Social Rights"
+    economy = "Economy"
+    agriculture = "Agriculture"
+    cohesion = "Cohesion"
+    reforms = "Reforms"
+    health = "Health"
+    food = "Food"
+    justice = "Justice"
+    equality = "Equality"
+    home_affairs = "Home Affairs"
+    energy = "Energy"
+    finance_and_capital_markets = "Finance and Capital Markets"
+    innovation_and_research = "Innovation and Research"
+    culture = "Culture"
+    education_and_youth = "Education and Youth"
+    climate_action = "Climate Action"
+    biodiversity = "Biodiversity"
+    transport = "Transport"
+
+
+class Natural_ressource(str, Enum):
+    freshwater = "Freshwater"
+    marine_resources = "Marine Resources"
+    wetlands = "Wetlands"
+    metals_and_ores = "Metals and Ores"
+    non_metallic_minerals = "Non-Metallic Minerals"
+    fossil_fuels = "Fossil Fuels"
+    agricultural_land = "Agricultural Land"
+    forests = "Forests"
+    urban_land = "Urban Land"
+    biomass = "Biomass"
+
+
+class Wellbeing(str, Enum):
+    housing = "Housing"
+    jobs = "Jobs"
+    education = "Education"
+    civic_engagement = "Civic Engagement"
+    life_satisfaction = "Life Satisfaction"
+    work_life_balance = "Work-Life Balance"
+    income = "Income"
+    community = "Community"
+    environment = "Environment"
+    health = "Health"
+    safety = "Safety"
+
+
+class Justice_consideration(str, Enum):
+    distributional = "Distributional"
+    procedural = "Procedural"
+    corrective = "Corrective"
+    recognitional = "Recognitional"
+    transitional = "Transitional"
+
+
+class Planetary_boundaries(str, Enum):
+    land_system_change = "Land-System Change"
+    climate_change = "Climate Change"
+    biosphere_integrity = "Biosphere Integrity"
+    biogeochemical_flows = "Biogeochemical Flows"
+    ocean_acidification = "Ocean Acidification"
+    freshwater_use = "Freshwater Use"
+    atmospheric_aerosol_loading = "Atmospheric Aerosol Loading"
+    ozone_depletion = "Ozone Depletion"
+    introduction_of_novel_entities = "Introduction of Novel Entities"
diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/handlers/__init__.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_extraction/__init__.py
similarity index 100%
rename from policy_analysis/src/policy_analysis/agentic_data_policies_extraction/handlers/__init__.py
rename to policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_extraction/__init__.py
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_extraction/taxonomy_dspy_model_creation.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_extraction/taxonomy_dspy_model_creation.py
new file mode 100644
index 00000000..5f5f4880
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_extraction/taxonomy_dspy_model_creation.py
@@ -0,0 +1,325 @@
+import dspy
+import csv
+from enum import Enum
+from typing import List, Dict, Any, Union
+import os
+
+from dspy.teleprompt import MIPROv2
+
+import json
+from dotenv import load_dotenv
+import pandas as pd
+from datetime import datetime
+
+from taxonomy_definition.geographical_taxonomy import (
+    Geographical_scope,
+    Studied_country,
+    Regional_group,
+)
+from taxonomy_definition.impact_taxonomy import (
+    Human_needs,    
+    Natural_ressource,
+    Wellbeing,
+    Justice_consideration,
+    Planetary_boundaries
+)
+from utils import canonicalize, normalize_to_set
+
+load_dotenv()
+
+golden_dataset = []
+path = "model_training_data/gold_taxonomy.jsonl"
+
+if os.path.exists(path):
+    with open(path, "r", encoding="utf-8") as f:
+        for idx, line in enumerate(f, start=1):
+            line = line.strip()
+            if not line:
+                continue  # skip empty lines
+            try:
+                data = json.loads(line)
+            except json.JSONDecodeError as e:
+                print(f"Skipping invalid JSON on line {idx}: {e}")
+                continue
+
+            example = dspy.Example(
+                question=data["question"],
+                # Geography
+                regional_group=data.get("regional_group"),
+                geographical_scopes=data.get("geographical_scopes", []),
+                main_country_focus=data.get("main_country_focus", []),
+                # Impact / Taxonomy
+                human_needs=data.get("human_needs", []),
+                natural_ressource=data.get("natural_ressource", []),
+                wellbeing=data.get("wellbeing", []),
+                justice_consideration=data.get("justice_consideration", []),
+                planetary_boundaries=data.get("planetary_boundaries", [])
+            )
+
+            golden_dataset.append(
+                example.with_inputs("question")
+            )
+else:
+    raise FileNotFoundError(f"Data file '{path}' not found.")
+
+
+trainset = golden_dataset
+devset = golden_dataset
+
+
+class GeographySignature(dspy.Signature):
+    """
+    Analyze the provided CONCLUSION paragraph to infer the study's geographical focus.
+    """
+    
+    question = dspy.InputField(
+        desc="A single paragraph from the conclusion section of a scientific study."
+    )
+ 
+    regional_group = dspy.OutputField(
+        desc=f"ONE value from {[e.value for e in Regional_group]} or empty if unknown. "
+    )
+
+    geographical_scopes = dspy.OutputField(
+        desc=f"A LIST of values from {[e.value for e in Geographical_scope]}. "
+    )
+
+    main_country_focus = dspy.OutputField(
+        desc=f"A LIST of values from {[e.value for e in Studied_country]}. "
+                )
+
+class ImpactSignature(dspy.Signature):
+    """
+    Analyze the provided CONCLUSION paragraph to extract the specific impacts that were the core subject of the study's findings.
+    """
+
+    question = dspy.InputField(
+        desc="A single paragraph from the conclusion section of a scientific study."
+    )
+
+    human_needs = dspy.OutputField(
+        desc=f"A LIST of values from {[e.value for e in Human_needs]}. "
+    )
+
+    natural_ressource = dspy.OutputField(
+        desc=f"A LIST of values from {[e.value for e in Natural_ressource]}." )
+    
+
+    wellbeing = dspy.OutputField(
+        desc=f"A LIST of values from {[e.value for e in Wellbeing]}. "
+    )
+
+    justice_consideration = dspy.OutputField(
+        desc=f"A LIST of values from {[e.value for e in Justice_consideration]}. "
+    )
+
+    planetary_boundaries = dspy.OutputField(
+        desc=f"A LIST of values from {[e.value for e in Planetary_boundaries]}. "
+    )
+
+
+# Configure the Language Model, passing the schema directly to force structured output
+# This often bypasses serialization issues in the adapter layer.
+"""lm = dspy.LM(
+    model='openai/gpt-4o-mini', 
+    api_key=os.getenv('OPENAI_API_KEY')
+)"""
+
+lm = dspy.LM(
+        model="openai/mistral-small-3.2-24b-instruct-2506",
+        api_key=os.getenv('SCALEWAY_API_KEY'),
+        api_base="https://api.scaleway.ai/a2dc0d31-c47f-47f1-b0b9-9877dd4eb2b5/v1"
+        )
+
+
+dspy.configure(lm=lm)
+
+class GeographyExtractor(dspy.Module):
+    def __init__(self):
+        super().__init__()
+        # Module 1: Focus only on Geography
+        self.geo_predictor = dspy.ChainOfThought(GeographySignature)
+        # Module 2: Focus only on Impact
+        self.impact_predictor = dspy.ChainOfThought(ImpactSignature)
+
+    def forward(self, question: str):
+        # Run them in parallel or sequence
+        geo_raw = self.geo_predictor(question=question)
+        impact_raw = self.impact_predictor(question=question)
+        
+             # UPDATED: Return all fields, canonicalized
+        return dspy.Prediction(
+            # Geography
+            regional_group=canonicalize(
+                geo_raw.regional_group, Regional_group, allow_list=False
+            ),
+            geographical_scopes=canonicalize(
+                geo_raw.geographical_scopes, Geographical_scope, allow_list=True
+            ),
+            main_country_focus=canonicalize(
+                geo_raw.main_country_focus, Studied_country, allow_list=True
+            ),
+            # Impact
+            human_needs=canonicalize(
+                impact_raw.human_needs, Human_needs, allow_list=True
+            ),
+            natural_ressource=canonicalize(
+                impact_raw.natural_ressource, Natural_ressource, allow_list=True
+            ),
+            wellbeing=canonicalize(
+                impact_raw.wellbeing, Wellbeing, allow_list=True
+            ),
+            justice_consideration=canonicalize(
+                impact_raw.justice_consideration, Justice_consideration, allow_list=True
+            ),
+            planetary_boundaries=canonicalize(
+                impact_raw.planetary_boundaries, Planetary_boundaries, allow_list=True
+            )
+        )
+
+
+def calculate_f1(gold, pred):
+    gold_set = normalize_to_set(gold)
+    pred_set = normalize_to_set(pred)
+
+    # Perfect empty match
+    if not gold_set and not pred_set:
+        return 1.0
+
+    # One empty, one not
+    if not gold_set or not pred_set:
+        return 0.0
+
+    tp = len(gold_set & pred_set)
+    fp = len(pred_set - gold_set)
+    fn = len(gold_set - pred_set)
+
+    precision = tp / (tp + fp) if (tp + fp) else 0.0
+    recall = tp / (tp + fn) if (tp + fn) else 0.0
+
+    if precision + recall == 0:
+        return 0.0
+
+    return 2 * precision * recall / (precision + recall)
+
+
+def get_match_counts(gold, pred, null_match_weight=0.5):
+    """
+    Returns (TP, FP, FN) for a single field.
+    If both gold and pred are empty, returns TP = null_match_weight (default 0.5).
+    """
+    gold_set = normalize_to_set(gold)
+    pred_set = normalize_to_set(pred)
+    
+    # 1. Handle Null vs Null case
+    # If both are empty, we reward the model, but less than a full match (1.0)
+    if not gold_set and not pred_set:
+        return null_match_weight, 0, 0
+
+    # 2. Standard Calculation for non-empty fields
+    # Intersection is True Positives
+    tp = len(gold_set & pred_set)
+    # Predicted but not in Gold is False Positives
+    fp = len(pred_set - gold_set)
+    # In Gold but not Predicted is False Negatives
+    fn = len(gold_set - pred_set)
+    
+    return tp, fp, fn
+
+def geography_f1_metric(example, pred, trace=None):
+    # Initialize global counters
+    total_tp, total_fp, total_fn = 0, 0, 0
+    
+    # 1. Define Field Weights
+    # Default is 1.0. Lower value = less importance. Higher value = more importance.
+    field_weights = {
+        'geographical_scopes': 0.3,
+        'main_country_focus':2.0,
+        'regional_group': 1.0,
+        'human_needs': 0.7,
+        'natural_ressource': 0.7,
+        'wellbeing': 0.7,
+        'justice_consideration': 0.7,
+        'planetary_boundaries': 0.7,  
+    }
+
+    # List of fields to evaluate
+    fields = [
+        ('regional_group', pred.regional_group),
+        ('geographical_scopes', pred.geographical_scopes),
+        ('main_country_focus', pred.main_country_focus),
+        ('human_needs', pred.human_needs),
+        ('natural_ressource', pred.natural_ressource),
+        ('wellbeing', pred.wellbeing),
+        ('justice_consideration', pred.justice_consideration),
+        ('planetary_boundaries', pred.planetary_boundaries),
+    ]
+    
+    for field_name, pred_value in fields:
+        gold_value = getattr(example, field_name)
+        
+        # Calculate raw counts (including your null logic from before)
+        tp, fp, fn = get_match_counts(gold_value, pred_value, null_match_weight=0.5)
+        
+        # 2. Apply Weighting
+        # Get weight for this field (default to 1.0 if not in dictionary)
+        weight = field_weights.get(field_name, 1.0)
+        
+        # Multiply counts by the weight
+        total_tp += (tp * weight)
+        total_fp += (fp * weight)
+        total_fn += (fn * weight)
+
+    # Calculate Global F1
+    denominator_precision = total_tp + total_fp
+    denominator_recall = total_tp + total_fn
+
+    # Avoid division by zero
+    if denominator_precision == 0 or denominator_recall == 0:
+        # If everything is empty/zero (and no TPs occurred), score is 0
+        if total_tp == 0:
+            return 0.0
+        
+    precision = total_tp / denominator_precision if denominator_precision > 0 else 0.0
+    recall = total_tp / denominator_recall if denominator_recall > 0 else 0.0
+    
+    if precision + recall == 0:
+        return 0.0
+        
+    return round(2 * precision * recall / (precision + recall), 2)
+
+
+print("Starting optimization...")
+
+optimizer = MIPROv2(metric=geography_f1_metric
+                    #,auto="heavy"
+                    )
+
+compiled_program = optimizer.compile(GeographyExtractor(), trainset=trainset)
+
+print("Evaluating optimized model on Dev Set...")
+optimized_evaluator = dspy.Evaluate(
+    devset=devset,
+    metric=geography_f1_metric,
+    display_progress=False,
+    display_table=True
+)
+timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+
+
+optimized_score = optimized_evaluator(compiled_program,save_as_json=f"{timestamp}.json")
+print(optimized_score)
+
+score_str = f"{round(optimized_score.score,2)}".replace(".", "_") 
+
+
+optimized_evaluator(
+    compiled_program
+)
+
+print(f"Final Score on Validation Set (optimized): {optimized_score}%")
+
+# --- Saving the optimized model ---
+model_path = f"{score_str}"
+compiled_program.save(model_path,save_program=True)
+print(f"Optimized model saved to {model_path}")
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_extraction/utils.py b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_extraction/utils.py
new file mode 100644
index 00000000..e0305229
--- /dev/null
+++ b/policy_analysis/dspy_policies_and_taxonomy_extraction/taxonomy_extraction/utils.py
@@ -0,0 +1,106 @@
+import re
+NULL_STRINGS = {
+    "null",
+    "none",
+    "n/a",
+    "na",
+    "unknown",
+    "unspecified",
+    "",
+    "N/A",
+    "None",
+}
+
+QUOTE_CHARS = "«»“”\"'"
+
+def canonicalize(value, enum_cls, allow_list=False):
+    """
+    Converts raw LLM output into canonical enum values.
+    """
+    tokens = normalize_to_set(value)
+
+    if not tokens:
+        return [] if allow_list else None
+
+    enum_lookup = {
+        clean_token(e.value): e.value
+        for e in enum_cls
+    }
+
+    resolved = [
+        enum_lookup[t]
+        for t in tokens
+        if t in enum_lookup
+    ]
+
+    if allow_list:
+        return resolved
+
+    return resolved[0] if resolved else None
+
+def clean_token(s: str) -> str:
+    """
+    Canonicalizes a single token so semantic matches succeed.
+    """
+    s = s.strip()
+
+    # Remove enclosing quotes / guillemets repeatedly
+    while len(s) >= 2 and s[0] in QUOTE_CHARS and s[-1] in QUOTE_CHARS:
+        s = s[1:-1].strip()
+
+    # Normalize whitespace
+    s = re.sub(r"\s+", " ", s)
+
+    return s.lower()
+
+
+def normalize_to_set(x):
+    """
+    Canonical normalization for geography fields.
+    Handles:
+    - None
+    - null-like strings
+    - lists
+    - stringified lists
+    - decorative quotes (« » “ ”)
+    """
+
+    if x is None:
+        return set()
+
+    # List / tuple / set
+    if isinstance(x, (list, tuple, set)):
+        return {
+            clean_token(str(v))
+            for v in x
+            if v is not None and clean_token(str(v)) not in NULL_STRINGS
+        }
+
+    # String
+    if isinstance(x, str):
+        raw = x.strip()
+
+        # Clean first (handles « » etc.)
+        cleaned = clean_token(raw)
+
+        # Null-like
+        if cleaned in NULL_STRINGS:
+            return set()
+
+        # Stringified list
+        if cleaned.startswith("[") and cleaned.endswith("]"):
+            try:
+                parsed = ast.literal_eval(raw)
+                if isinstance(parsed, (list, tuple)):
+                    return {
+                        clean_token(str(v))
+                        for v in parsed
+                        if clean_token(str(v)) not in NULL_STRINGS
+                    }
+            except Exception:
+                return set()
+
+        # Single value
+        return {cleaned}
+
+    return set()
diff --git a/policy_analysis/dspy_policies_and_taxonomy_extraction/uv.lock b/policy_analysis/dspy_policies_and_taxonomy_extraction/uv.lock
new file mode 100644
index 00000000..7f22e1df
--- /dev/null
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diff --git a/policy_analysis/dspy_policies_extraction/README.md b/policy_analysis/dspy_policies_extraction/README.md
deleted file mode 100644
index 6ad6a4c7..00000000
--- a/policy_analysis/dspy_policies_extraction/README.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# Extraction des pollitiques des conclusions avec DSPy
-
-L'objectif est d'extraire les pollitiques qui sont situées dans les conclusions des papiers de recherche. 
-On utilise DSPy afin d'optimiser le prompt qui va etre utilisé pour extraire ces politiques. 
-On optimise DSPy en maximisant la similarité d'une pollitique avec une autre en utilisant un cross encoder. 
-
-
-Il existe 32 données labélisées qui peuvent etre utiliées en tant que dataset de validation. 
-Des données synthétiques ont été crées afin d'entrainer le model. 
-
-On peut charger le model generé ensuite par l'optimisation et l'utiliser pour les executions. 
\ No newline at end of file
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-{
-  "dependency_versions": {
-    "python": "3.12",
-    "dspy": "3.0.4",
-    "cloudpickle": "3.1"
-  }
-}
diff --git a/policy_analysis/dspy_policies_extraction/saved_dspy_model/openai_gpt-4o-mini_81_87.json b/policy_analysis/dspy_policies_extraction/saved_dspy_model/openai_gpt-4o-mini_81_87.json
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-[{"question": "5. Conclusions Our study assessed the impacts of climate variables and droughts in the Orinoco River Basin using a combination of Earth observation data and surface observations. Our key findings include the following: i. El Ni\u00f1o events worsen the region\u2019s drought conditions, while Atlantic SST variability has less influence. ii. Long-term surface warming trends increase the evapotranspiration demand, aggravating drought conditions. However, vegetation greenness remains high despite high surface temperatures, suggesting that temperature alone does not significantly affect vegetation phenology and root zone water reserves. A sustained rainfall deficit is necessary to cause observable changes in the vegetation and soil conditions. iii. Droughts severely impact the infiltration\u2013percolation process, affecting the long-term recharge rate of aquifers and their ecological flow contributions.", "example_response": "Assess the impacts of climate variables and droughts using a combination of Earth observation data and surface observations.", "reasoning": "The conclusions highlight the interactions between climate variables and droughts in the Orinoco River Basin, pointing out specific factors that exacerbate drought conditions. It suggests that understanding these dynamics is crucial for informing water management practices and ecological conservation strategies. The findings imply a need for policies addressing the impacts of El Ni\u00f1o events, long-term surface warming, and drought management to safeguard water resources and ecosystems.", "pred_response": "Develop drought management policies that consider the exacerbating effects of El Ni\u00f1o events; Implement water conservation strategies that account for increased evapotranspiration demand due to long-term warming; Enhance monitoring of vegetation responses to climate variations to inform ecological flow management; Promote practices that support aquifer recharge and protect infiltration\u2013percolation processes.", "CrossEncoderMetric": 0.010638880543410778}, {"question": "Our study demonstrates the value of using a combination of Earth observation data and surface observations for a broad-scale, comprehensive assessment of drought impacts. This approach enables a deep understanding of drought dynamics over large geographical areas, providing crucial insights into potential implications for water availability, agricultural productivity, and overall ecosystem health.", "example_response": "Use a combination of Earth observation data and surface observations for broad-scale, comprehensive assessment of drought impacts.", "reasoning": "The paragraph emphasizes the effectiveness of integrating Earth observation data with surface observations to assess drought impacts comprehensively. It implies the necessity for continued research and monitoring strategies that leverage these techniques to better understand drought dynamics and their effects on water resources, agriculture, and ecosystems.", "pred_response": "Utilize a combination of Earth observation data and surface observations for comprehensive drought impact assessments; Implement monitoring strategies that integrate these methods to enhance understanding of drought dynamics; Focus on implications for water availability, agricultural productivity, and ecosystem health.", "CrossEncoderMetric": 0.9997989535331726}, {"question": "Given the increasing occurrence and intensity of droughts, our study underlines the urgent need for proactive, adaptive management strategies. It highlights the importance of recognizing and understanding the impacts of anomalously hot months and potential changes in hydrological regimes to mitigate adverse effects on ecosystems and human populations. This research also urges policymakers to use this knowledge to make informed decisions regarding sustainable water management practices in the face of the mounting challenges posed by climate change", "example_response": "Adopt proactive, adaptive management strategies to address increasing occurrence and intensity of droughts.Recognize and understand the impacts of anomalously hot months and potential changes in hydrological regimes. Use scientific knowledge to make informed decisions regarding sustainable water management practices under climate change.", "reasoning": "The paragraph emphasizes the necessity for proactive and adaptive management strategies to address the challenges posed by increasing droughts and changing hydrological regimes. It suggests that understanding the effects of climate change on these factors can help policymakers make informed decisions regarding sustainable water management practices.", "pred_response": "Implement proactive and adaptive management strategies to address drought intensity; Recognize and understand the impacts of anomalously hot months and changing hydrological regimes; Utilize research findings to inform sustainable water management practices in response to climate change.", "CrossEncoderMetric": 0.9996689558029175}, {"question": "However, our study also has some limitations that need to be addressed in future research. For instance, we did not analyze the couplings between atmospheric and oceanic modes of variability and the changes that occur at different time scales in the biophysical variables of the basin during the presence of dry conditions. Moreover, we did not consider other drought indices that could provide complementary information on different aspects of drought severity and duration. Therefore, more research is needed, using more sophisticated methods to explore these aspects and to improve our understanding of the complex interactions between climate variability and drought impacts in the Orinoco River Basin.", "example_response": "Analyze couplings between atmospheric and oceanic modes of variability and changes in biophysical variables during dry conditions. Consider additional drought indices that provide complementary information on drought severity and duration. Use more sophisticated methods to explore the interactions between climate variability and drought impacts in the Orinoco River Basin.", "reasoning": "The paragraph identifies limitations in the study regarding the lack of analysis on the couplings between atmospheric and oceanic modes of variability and their impact on biophysical variables during drought conditions. It emphasizes the need for future research to employ more sophisticated methods and to consider additional drought indices to enhance understanding of the complex interactions between climate variability and drought impacts.", "pred_response": "Analyze the couplings between atmospheric and oceanic modes of variability and their effects on biophysical variables during drought conditions; Consider additional drought indices to provide complementary information on drought severity and duration; Employ more sophisticated research methods to explore the interactions between climate variability and drought impacts.", "CrossEncoderMetric": 0.9993896484375}, {"question": "Conclusion The aim of the current study was to investigate whether students\u2019 gender and minority background were moderators of teacher expectation effects for mathematics outcomes as well as self-concept and subjective task value in the mathematics domain. This study adds to the current knowledge base by empirically studying moderator effects of both gender and minority background. Additionally, whereas previous research mostly investigated self-concept only, we investigated the association between teacher expectations and students\u2019 self-concept as well as their subjective task values (intrinsic and utility value).", "example_response": "Investigate whether students\u2019 gender and minority background moderate teacher expectation effects for mathematics outcomes. Investigate the association between teacher expectations and students\u2019 self-concept as well as their subjective task values in mathematics.", "reasoning": "The conclusion highlights the findings related to the impact of gender and minority background on the effects of teacher expectations on students' mathematics outcomes, self-concept, and subjective task values. It suggests a need for educational policies that consider these moderating factors, potentially influencing how teacher expectations are framed and communicated. The focus on both self-concept and subjective task value indicates that students\u2019 perceptions and values regarding mathematics should be taken into account in policy development.", "pred_response": "Develop educational policies that specifically consider the impact of gender and minority background on teacher expectations; Incorporate training for educators to address biases in expectations related to gender and minority status; Evaluate programs that aim to enhance students' self-concept and subjective task values in mathematics.", "CrossEncoderMetric": 0.9960634112358093}, {"question": "Research question 1 Regarding the first research question, in line with societal stereotypes and after controlling for students\u2019 beginning-of-year mathematics achievement, teacher expectations were higher for Asian and lower for M\u0101ori, compared with NZ European students. These findings are in line with previous research in the same context (Turner et al., 2015), but also corroborate findings from other educational systems that teachers differentiate in their expectations based on students\u2019 minority background (e.g., Glock & Krolak-Schwerdt, 2013; Tenenbaum & Ruck, 2007; Timmermans et al., 2015, 2018). However, contrary to the expected stereotypes, expectations within the domain of mathematics were higher for girls than for boys. This finding is inconsistent with earlier research as it has also been found that, in line with stereotypes, girls have been the target of low expectations in mathematics (Jussim et al., 1996). However, there is also some evidence (Jaremus et al., 2020) that expectations for girls and boys in mathematics at the elementary and middle school level are less differentiated (e.g., Gentrup & Rjosk, 2018) and that it is at higher levels of schooling (secondary and tertiary) where teachers tend to have higher expectations for boys in the STEM fields. Perhaps, this finding is a reflection of teachers more often disapproving of boys\u2019 classroom behavior, causing boys generally to be perceived as academically poorer students (e.g., Bennett et al., 1993; Harlen, 2005; Hecht & Greenfield, 2002; Kenney-Benson et al., 2006). Moreover, the New Zealand public have been made aware of societal stereotypes related to girls in STEM and how greater numbers of girls need to be encouraged into these fields (e.g., https://www.curiousminds.nz/actions/community/womenand- girls/). It may be that this information has led teachers to more carefully consider the capabilities of girls in mathematics. All in all, these findings suggest that for students with comparable levels of achievement in the mathematics domain, teachers may hold different expectations because of their gender or ethnicity.", "example_response": "Encourage teachers to hold equitable expectations for students in mathematics regardless of gender. Encourage teachers to hold equitable expectations for students in mathematics regardless of ethnicity. Increase awareness among teachers about societal stereotypes in STEM to ensure fair assessment of students\u2019 capabilities.", "reasoning": "The paragraph discusses the variance in teacher expectations based on students' ethnic backgrounds and gender, highlighting the influence of societal stereotypes. It suggests that teacher training and awareness might need to be improved to address biases in expectations for different student groups.", "pred_response": "Implement teacher training programs focused on eliminating biases related to students' gender and ethnicity; Encourage awareness of societal stereotypes affecting student expectations in education; Promote initiatives to enhance teacher understanding of capabilities across diverse student groups, particularly in STEM fields.", "CrossEncoderMetric": 0.8982068300247192}, {"question": "Moreover, after controlling for background variables and beginning-of-year achievement, student self-concept and, to a lesser extent, interest in mathematics were associated with teachers\u2019 expectations. This implies that teachers base their expectations on a wider range of student characteristics than just achievement and demographic background (Timmermans et al., 2016, 2019). Teachers\u2019 expectations for the academic achievement of elementary school students have been found to be positively related to students\u2019 perceived assertiveness, independence (Alvridez & Weinstein, 1999; Bonvin & Genoud 2006; Rubie-Davies, 2010), selfconfidence (Driessen, 2006; Rubie-Davies, 2010), and self-concept (Upadyaya & Eccles, 2015). These studies have indicated that teachers tend to have higher expectations of a student they perceive of as independent, more confident, or with a greater self-concept. Although it is generally assumed that teachers use these student attributes in shaping their expectations (e.g.,Rubie-Davies, 2008), the empirical evidence is still rather limited. The current finding therefore presents an important addition to the limited evidence base.", "example_response": "Base teachers\u2019 expectations on a wider range of student characteristics beyond achievement and demographic background. Consider students\u2019 perceived assertiveness, independence, self-confidence, and self-concept when forming expectations for academic achievement.", "reasoning": "The paragraph discusses how teachers' expectations for student achievement are influenced by a variety of student characteristics beyond just academic performance and demographics. It highlights the need for further empirical evidence on the relationship between teachers' expectations and student attributes such as self-concept, assertiveness, and independence. This points to the potential for developing strategies to inform teacher expectations based on a broader understanding of student traits.", "pred_response": "Encourage research to further explore the relationship between teachers' expectations and student characteristics such as self-concept, assertiveness, and independence; Develop teacher training programs that emphasize the importance of recognizing diverse student attributes in shaping expectations; Foster awareness among educators about the factors influencing their expectations to promote equitable student opportunities.", "CrossEncoderMetric": 0.980070173740387}, {"question": "Research question 2 Regarding the second research question, teachers\u2019 beginning-year expectations were predictive of achievement and self-concept of students at end-of-year. For mathematics achievement, these findings correspond to numerous studies showing that differential expectations are confirmed in generally small to moderate self-fulfilling prophecies in various academic domains (e.g., Jussim & Harber 2005; Rubie-Davies 2008; Tenenbaum & Ruck, 2007; Wang et al., 2018). The finding that beginning-of-year teacher expectations are not only predictive of achievement but also of students\u2019 self-concept is an important contribution for two reasons. First, many previous studies have failed to take initial self-concept into account; therefore, it has remained largely unknown whether the reported positive associations were spurious. Second, children\u2019s perceptions of themselves affect their motivation and subsequent behavior (Bandura, 1986; Dweck & Leggett, 1988; Harter, 1983; Marsh, 1990). The finding that teacher expectations are predictive of later student self-concept is in line with Expectancy-Value Theory (Eccles, 1983). It seems that the teachers\u2019 expectations serve as an evaluation of a significant other (e.g., Bong & Skaalvik, 2003; Gniewosz et al., 2014; Shavelson et al., 1976), and when felt and regarded as support and acceptance by students, these expectations lead the student to evaluate themselves more positively (Liu & Wang, 2008).", "example_response": "Set high beginning-of-year expectations for students to positively influence their end-ofyear achievement. Maintain positive expectations for students to enhance their end-of-year self-concept. Consider children\u2019s initial self-concept when evaluating the effects of teacher expectations. Use teacher expectations as a form of support and acceptance to improve students\u2019 selfevaluation.", "reasoning": "The paragraph discusses the predictive nature of teachers' beginning-year expectations on students' later academic achievement and self-concept, emphasizing the significance of these expectations in shaping students\u2019 self-perceptions and motivation. It highlights the need for future research to further explore these expectations and their implications within educational contexts to better inform teaching practices and policy.", "pred_response": "Investigate the influence of teachers' beginning-year expectations on students' achievement and self-concept across various subjects; Consider incorporating measures of initial self-concept in future studies to gauge the full impact of teacher expectations; Explore the implications of teacher expectations in the context of Expectancy-Value Theory to inform teaching strategies and enhance student motivation.", "CrossEncoderMetric": 0.9816940426826477}, {"question": "Previous research had shown positive correlations between teacher expectations and subjective task values, as expectations were positively related to utility value (e.g., Benner & Mistry, 2007; Boerma et al., 2016; Gilbert et al., 2014; Lazarides and Watt, 2015) and intrinsic value (Woolley et al., 2010). The current study, however, failed to find this association. Various methodological differences may account for the difference in findings. Some prior studies tested this association in a different or combined subject domains (Benner & Mistry, 2007; Boerma et al., 2016), or included students\u2019 perceptions of teacher expectations instead of teacher ratings (Gilbert et al., 2014; Lazarides & Watt, 2015; Woolley et al., 2010). Furthermore, all studies above are based on data collections in which teacher expectations and task values were collected at a single moment. Perhaps, once controlled for beginning-of-year levels of intrinsic and utility value, teacher expectations are not strong enough to predict intrinsic and utility value about 8 months later. Alternatively, although it may be assumed that attitudes of socializers (i.e., teachers) affect students\u2019 subjective task values (Wigfield & Eccles, 1992, 2000), this perhaps holds for other teacher attitudes but potentially does not include teachers\u2019 performance expectations.", "example_response": "Consider methodological differences when evaluating the relationship between teacher expectations and students\u2019 subjective task values.Account for differences in subject domains when assessing the effect of teacher expectations on task values.Include both teacher ratings and students\u2019 perceptions of teacher expectations in studies of subjective task values.Collect data on teacher expectations and task values at multiple time points to properly evaluate longitudinal effects.Control for beginning-of-year levels of intrinsic and utility value when assessing the predictive effect of teacher expectations.", "reasoning": "The paragraph discusses the inconclusive findings regarding the relationship between teacher expectations and student task values. It suggests that future research should consider methodological improvements, such as collecting data over time and controlling for baseline values. By doing so, researchers can better understand the dynamics between teacher expectations and student motivation, particularly intrinsic and utility values.", "pred_response": "Account for methodological differences such as using longitudinal data collection to assess the relationship over time; Control for baseline levels of intrinsic and utility value when analyzing teacher expectations; Explore the impact of teacher attitudes beyond performance expectations on students' subjective task values.", "CrossEncoderMetric": 0.994203507900238}, {"question": "Research question 3 Regarding the third research question, we expected that gender and minority background would moderate the effects of teacher expectations on mathematics performance (e.g., Boerma et al., 2016; McKown & Weinstein, 2002), with larger effects of expectations for stigmatized groups (girls in mathematics, students with minority backgrounds). In the current study, we did not find evidence for moderation effects of gender and minority background, which implies that, at least in the current sample, the effects of teacher expectations were of roughly similar magnitude for various student groups.", "example_response": "Maintain consistent teacher expectations for all student groups, regardless of gender or minority background. Do not assume that teacher expectations have larger effects for stigmatized groups in mathematics performance.", "reasoning": "The paragraph discusses the unexpected finding that teacher expectations do not differentially affect mathematics performance based on gender or minority background, indicating a need for further inquiry into how teacher expectations impact various student groups. This suggests that future research should investigate the applicability of teacher expectations across diverse demographic groups and explore additional factors that may influence academic performance.", "pred_response": "Investigate the impact of teacher expectations on mathematics performance across various student groups; Explore additional factors that may influence the relationship between teacher expectations and academic performance for girls and students with minority backgrounds; Conduct studies to replicate findings in diverse samples to assess the generalizability of results.", "CrossEncoderMetric": 0.948390007019043}, {"question": "Strengths and limitations In interpreting the results of this study, a number of strengths and limitations need to be considered. Many available studies investigating the association between teacher expectations and subsequent student self-concept and task values have failed to control for measures of current levels of achievement and self-concept. It is therefore not possible from these studies to disentangle teacher expectation effects on these outcomes from potentially higher initial expectations for more confident, efficacious, or interested students (Timmermans et al., 2016). A major strength of the current study was the design with measures at both the beginning and end-of-school year and therefore the possibility to control for beginning-of-year ratings of students\u2019 self-concept and task values. Therefore, the association that higher teacher expectations at beginning-of-year are predictive of greater self-concept at end-of-year and of the absence of an association with end-of-year intrinsic and utility value is possibly a more reliable and robust finding than that of earlier studies. Nevertheless, we cannot infer general conclusions about causal effects of teacher expectations as a potential important confounder may have been omitted from the multilevel models.", "example_response": "Control for beginning-of-year student achievement and self-concept when evaluating the effects of teacher expectations. Measure teacher expectations at the beginning of the school year to predict student selfconcept at the end of the year. Consider potential confounders when analyzing causal effects of teacher expectations on student outcomes.", "reasoning": "The paragraph assesses strengths and limitations of the study, emphasizing its robust design which controls for initial self-concept and task values. It points towards the necessity of addressing potential confounders that may affect the interpretation of the causal impacts of teacher expectations on student outcomes. The need for more precise methodologies in future research is implied.", "pred_response": "Design studies that control for measures of initial student achievement, self-concept, and task values; Investigate potential confounding variables in multilevel models to enhance causal inference regarding the effects of teacher expectations; Utilize longitudinal designs to track changes over time in student perceptions and outcomes.", "CrossEncoderMetric": 0.996212363243103}, {"question": "Moreover, the sample of the study consisted of 1663 students and their teachers from three intermediate schools in the geographical Auckland area. Although the sample was of reasonable size at the student (n = 1663) and teacher (n = 42) level, the number of participating schools is rather small. Nevertheless, in the selection of the three participating intermediate schools, variation in student population in relation to socioeconomic status was explicitly considered. For future research, it would be beneficial to assess the generalizability of these associations using samples consisting of more schools. Moreover, it remains worthwhile to replicate this study in various contexts, educational systems (outside the Auckland area), and for different age groups, in order to investigate the generalizability of the findings.", "example_response": "Consider variation in student population in relation to socioeconomic status when selecting schools for studies. Assess the generalizability of study findings using samples consisting of more schools. Replicate the study in various contexts, educational systems, and age groups to investigate generalizability.", "reasoning": "The paragraph underscores the limitation of the study's sample size regarding the number of schools involved, suggesting that broader findings could be achieved with more varied school participation. It also emphasizes the importance of replicating the study in different contexts and educational systems, which would help assess the generalizability of the findings across different populations and age groups.", "pred_response": "Increase the number of participating schools in future research to enhance generalizability; Replicate the study in various contexts and educational systems outside the Auckland area; Investigate the findings across different age groups to assess their broader applicability.", "CrossEncoderMetric": 0.37987107038497925}, {"question": "5. Conclusions This study presented a consolidated framework for the vulnerability assessment of rural communities by indicating that rural\u2013urban linkages are crucial in influencing flood vulnerability. To do so, this paper presented a thorough review of the concept of vulnerability, its components, and conceptual frameworks, as well as the examination of terms \u201crural\u201d and \u201curban\u201d, interaction theories, and a general understanding of rural\u2013urban linkages. Theories and conceptual frameworks facilitated to identify factors that drive variation in rural\u2013urban linkages and flood vulnerability. The review suggested that rural\u2013 urban linkages can be essential in influencing vulnerability of flood-prone rural communitieswhich have not been given attention in previous conceptual frameworks. Thus, rural vulnerability to floods should not be studied in isolation, rather its relationship with urban areas is important to consider. It should not only be defined by the internal characteristics of its residents but also by considering the changing rural\u2013urban interactions. Thus, rural\u2013 urban linkages may also provide an opportunity to reduce vulnerability of rural communities. The framework highlights to understand the multi-dimensional, differential, and dynamic nature of vulnerability and rural\u2013urban linkages, the interaction between them, as well as the driving forces that shape the overall flood vulnerability of rural communities. Further, the role of city size and proximity is identified as an important research gap which is widely neglected in the discourse of flood vulnerability and could be imperative for improved understanding of rural vulnerability. The framework is useful for application at the local level in developing countries. It provides multiple and broad aspects for investigation and hence can be applied in any flood-affected rural area by using their context-specific information. For example, socioeconomic, physical, institutional factors differ spatially and temporally and so are the flows. Moreover, the framework is not limited to flooding (even though the discussion revolves around flood hazards) and can be a vade mecum for other hazards considering their character and scope of impacts. For example, droughts or extreme temperatures may not affect physical infrastructure in the same way as flooding and thus linkages as well as resulting vulnerability. In this context, the framework can guide factors and the nature of influence on linkages to examine vulnerability for other hazards and propose vulnerability and risk reduction measures accordingly. Furthermore, the effectiveness of the proposed framework can be evaluated and validated through empirical investigations. The framework is flexible and allows both qualitative and quantitative assessment of overall vulnerability based on the dynamics of rural\u2013urban linkages. It gives freedom to develop area and hazard specific indicators and looks at overall vulnerability from the holistic and integrated perspective. Moreover, various methodological and analytical frameworks can be developed depending on different disciplines. The proposed framework has its limitations, it only considers rural areas as flood-prone and vulnerable and does not underscore how changing linkages and resulting vulnerability can indirectly affect urban areas/cities and vice versa. Moreover, urban\u2013rural interrelationships and their related issues may vary across various regions of the world. The paper endorses that rural\u2013urban linkages must be incorporated into vulnerability assessments of rural communities. The proposed framework can support disaster risk reduction and climate change adaptation of rural communities by highlighting the role of cities on which rural population depends. Considering this, in addition to rural areas, necessary measures can be developed to enhance the capacities of cities so that they can support rural areas. In this context, better information delivery mechanisms, short- and long-term employment opportunities in cities, controlling price inflation, the smooth and continuous supply of goods and services, intelligent investment decisions in the reconstruction and rehabilitation phase will be the relevant areas for policymaking to strengthen linkages, curtail vulnerability, and reduce disaster risk. Finally, the framework can be a useful tool in increasing awareness among disaster managers, regional planners, and policymakers at the local and regional levels regarding the complex and dynamic nature of vulnerability. It also calls to bring professionals from different fields\u2014especially from climate change and disaster risk as well as regional and rural development planning communities\u2014to coordinate and work together to gain an accurate understanding of rural\u2013urban linkages and associated factors that determine flood vulnerability. It helps to prioritize the potential areas of intervention and delineate proper plans to support rural\u2013urban linkages and reduce flood vulnerability as indicated earlier. The proposed framework contributes to recognize priority 1 of SFDRR, SDGs (goal 11 and 13), and a new urban agenda through enhanced understanding of vulnerability by suggesting the importance of linkages and facilitating the link between spatial planning and vulnerability discourse.", "example_response": "Incorporate rural\u2013urban linkages into flood vulnerability assessments of rural communities. Develop necessary measures to enhance the capacities of cities so that they can support flood-prone rural areas. Improve information delivery mechanisms to strengthen rural\u2013urban linkages for reducing flood vulnerability. Provide short- and long-term employment opportunities in cities to strengthen rural\u2013urban linkages that influence flood vulnerability. Control price inflation to stabilize rural\u2013urban economic interactions affecting flood vulnerability. Ensure the smooth and continuous supply of goods and services to maintain rural\u2013urban linkages relevant for flood vulnerability. Make intelligent investment decisions in the reconstruction and rehabilitation phase to reinforce rural\u2013urban linkages that shape flood vulnerability. Use the proposed framework to guide flood vulnerability assessment and to develop flood risk-reduction measures. Evaluate and validate the effectiveness of the proposed framework for flood vulnerability through empirical investigations. Develop area- and flood-hazard-specific indicators for assessing vulnerability using the flexible framework. Develop methodological and analytical frameworks for assessing flood vulnerability based on different disciplinary approaches. Coordinate professionals from climate change, disaster risk, and regional and rural development planning to analyze rural\u2013urban linkages that determine flood vulnerability. Delineate proper plans to support rural\u2013urban linkages and reduce flood vulnerability.", "reasoning": "The conclusion of the study emphasizes the significance of rural-urban linkages in understanding and mitigating flood vulnerability in rural communities. It suggests that to effectively address vulnerability, policies and frameworks should consider both rural and urban areas in their interconnections. The conclusion outlines several actionable measures that can be adopted to enhance capacity building in urban areas to support rural communities, improve information dissemination, and bolster economic opportunities. It also points to the necessity of interdisciplinary cooperation and awareness-raising among planners and policymakers to address the dynamic nature of vulnerability.", "pred_response": "Incorporate rural-urban linkages into vulnerability assessments; Develop policies to enhance urban capacities to support rural areas; Improve information delivery mechanisms for rural communities; Create short- and long-term employment opportunities in urban areas; Control price inflation related to goods and services; Ensure a smooth and continuous supply of goods and services; Make intelligent investment decisions in the reconstruction and rehabilitation phase; Foster interdisciplinary collaboration among climate change, disaster risk, and regional development professionals; Prioritize areas of intervention to support rural-urban linkages and reduce flood vulnerability.", "CrossEncoderMetric": 0.973757803440094}, {"question": "5. Conclusion When the case studies are examined, it is seen that economic, social and environmental constraints affect the solution. On the other hand, protecting the environment for future generations and efficient use of resources can be stated as a summary of environmental sustainability. Economic activities should not threaten natural ecosystems with limited resources and capacity. In this context, logistics centres, which save energy and resource use in the location selection model within the scope of green ports, are an important solution alternative for regions disadvantaged in terms of air pollution, traffic congestion and emissions. Thanks to the consolidation and connection of low-emission transport modes to be provided by logistics centres, greenhouse gas emissions caused by transportation and transportation activities will be reduced.", "example_response": "Select logistics centre locations within green port planning to save energy and resource use. Use logistics centres to consolidate and connect low-emission transport modes.", "reasoning": "The conclusion emphasizes the importance of addressing economic, social, and environmental constraints in sustainability efforts, specifically in the context of logistics centres and their role in reducing greenhouse gas emissions and improving resource efficiency. By highlighting the advantages of logistics centres in green ports, it implicitly recommends the development and integration of such facilities as a means to enhance environmental sustainability in disadvantaged regions.", "pred_response": "Promote the establishment of logistics centres as a solution for enhancing environmental sustainability in disadvantaged areas; Integrate low-emission transport modes at logistics centres to reduce greenhouse gas emissions; Ensure that economic activities do not threaten natural ecosystems by adopting sustainable resource use practices.", "CrossEncoderMetric": 0.9302655458450317}, {"question": "Based on the findings obtained, the criteria that will guide the construction of a new port can be reached from the said port investigations. As a matter of fact, while it cannot be expected that a port will have all the criteria at the same time, all of the port preference criteria have similar importance weights. In particular, the difference between port location, port fees and port infrastructure criteria is around 1.5%. This showed that there is no indispensable criterion for the selection of the main port within the scope of the study, and that all criteria must be found in the main port concept in a relationship. The importance weight of the proximity to the market and hinterland criteria was found to be 23.6%. Because proximity to the market and hinterland are related to how full the ship can leave the port at a point or how close it is to customer or industry needs. This criterion has been found to be the most important port selection criterion in many studies in the literature on port selection and the order of importance of port criteria. Right after this comes the port location criterion. This criterion is a criterion that directly affects the operational cost of the ship. The location of the port must give the ship a minimum deviation from its main course. At the same time, this criterion is closely related to proximity to the market and hinterland. As it can be understood from here, due to the technical and financial extra costs of the green port implementation, as well as the sanction burden of the green port implementation legislation, the location and proximity to the market criteria are much more decisive than ecological factors in the selection of the port establishment location.", "example_response": "Construct new ports using criteria derived from port investigations. Select port establishment locations that give ships a minimum deviation from their main course. Prioritize proximity to the market and hinterland when selecting port locations. Account for the technical and financial extra costs of green port implementation in port location selection. Account for the sanction burden of green port implementation legislation when choosing port establishment locations.", "reasoning": "The paragraph delineates the criteria for selecting a port, emphasizing the need for a balanced consideration of various factors, particularly highlighting the importance of proximity to the market and hinterland, as well as port location. It suggests that while ecological factors associated with green port implementations are relevant, they are less critical than operational aspects in the decision-making process. This indicates a need for policies that prioritize both operational efficiency and sustainability in port development.", "pred_response": "Establish policies prioritizing proximity to the market and hinterland in port selection criteria; Ensure that port location minimizes deviation from main shipping routes to lower operational costs; Integrate ecological factors in a supportive role, rather than as primary determinants, in port establishment legislation.", "CrossEncoderMetric": 0.9202130436897278}, {"question": "On the other hand, when the relevant literature is evaluated; It can be said that there are few studies on which criteria should be considered in order for ports to receive green port certification, and besides, very different criteria are considered in these studies, that is, there is no unity. When this literature is examined in general; it can be said that the criteria of air pollution, water pollution, energy management and waste management come to the fore. It is natural for these criteria to come to the fore, as environmental issues are primarily considered in almost every sector that aims to alleviate the intensity of pollution, which is increasing day by day. In future studies, the potential of ports to be green ports can be evaluated. From this point of view, it can be suggested as a suggestion for ports that do not have green port certification to consider successful green port examples as role models. In addition, it can be said that the use of Multi-Criteria Decision Making (AHP, VIKOR, TOPSIS, ELECTRE etc.) techniques will give more accurate results, since it is a subject that requires consideration of both numerical and non-numerical criteria for studies to evaluate green port performances. In this context, it can be stated as another suggestion that ports should perform benefit, opportunity, cost and risk analysis and this can be resolved by the Analytical Network Process-Benefit, Opportunity, Cost and Risk (ANP-BOCR) method. In addition, the DEMATEL Method, which is frequently used in considering the relationships between the criteria, may be one of the techniques that researchers may prefer. However, it can be stated that the studies are generally published in journals such as \"\"The Asian Journal of Shipping and Logistics, Transportation Research Part and Research in Transportation Business & Management and that researchers may turn to these journals. As a result, the ever-decreasing resources and increasing pollution have brought the concept of sustainability to a more important dimension. The concept of sustainability, which is based on meeting the needs of the present generation without ignoring the needs of future generations, has made the ecological environment a priority and a demanded criterion in almost every sector. Green port and green logistics activities aiming to protect the environment can be given as examples. In this context, when environmental sustainability awareness is considered, the necessity of increasing the number of studies related to it emerges.", "example_response": "Consider air pollution, water pollution, energy management and waste management criteria when working toward green port certification. Evaluate the potential of ports to become green ports in future studies. Use successful green port examples as role models for ports that do not have green port certification. Apply Multi-Criteria Decision Making techniques such as AHP, VIKOR, TOPSIS, ELECTRE and similar methods to evaluate green port performance. Perform benefit, opportunity, cost and risk analysis using the ANP-BOCR method when assessing green port performance. Use the DEMATEL method to analyze relationships between criteria in green port evaluation studies. Increase the number of studies related to environmental sustainability in port and logistics contexts.", "reasoning": "The text discusses the lack of standardized criteria for green port certification, highlights key environmental factors such as air and water pollution, and suggests methodologies for evaluating green port performance. It emphasizes the need for ports lacking certification to learn from successful examples and utilize multi-criteria decision-making techniques. The mention of sustainability underscores the increasing importance of environmental considerations in port management, pointing to a need for more research in this area.", "pred_response": "Establish standardized criteria for green port certification; Evaluate the potential of ports to become green ports; Use successful green port examples as role models for ports without certification; Apply Multi-Criteria Decision Making techniques (AHP, VIKOR, TOPSIS, ELECTRE) to improve evaluation accuracy; Perform benefit, opportunity, cost, and risk analyses using the ANP-BOCR method; Consider utilizing the DEMATEL method for understanding relationships between criteria; Increase the number of studies focused on environmental sustainability in ports.", "CrossEncoderMetric": 0.9806328415870667}, {"question": "Conclusion In summary, the previous evidence and present study suggest that yoga is an acceptable and safe intervention, which may result in clinically relevant improvements in pain and functional outcome associated with a range of musculoskeletal conditions such as muscular dystrophy, osteoarthritis, rheumatoid arthritis, etc. The present study would suggest that 1 week of yoga therapy (IAYT) may be useful in decreasing pain and increasing functional mobility in these patients over time.", "example_response": "Use yoga as an intervention to improve pain and functional outcomes in musculoskeletal conditions. Apply one week of IAYT yoga therapy to decrease pain and increase functional mobility in patients with musculoskeletal conditions.", "reasoning": "The conclusion indicates that yoga therapy can effectively improve pain and functionality for patients with various musculoskeletal conditions. It emphasizes the need for this intervention in clinical settings and suggests a specific duration of treatment that could yield beneficial outcomes.", "pred_response": "Implement yoga therapy as an intervention for patients with musculoskeletal conditions; Advocate for the inclusion of 1 week of IAYT in treatment plans to decrease pain and increase functional mobility; Conduct further studies to assess long-term benefits of yoga therapy in diverse patient populations.", "CrossEncoderMetric": 0.9998441934585571}, {"question": "The findings of this study demonstrate that distance of human dwellings to irrigated agriculture influences indoor Anopheles mosquito abundance and risk of malaria infection despite intensive malaria control and bed net usage. Further, this study reveals important effects of socioeconomics on malaria epidemiology; there is a linear relationship between the household wealth index and malaria risk. As the number and sizes of irrigation schemes expand in Malawi and the sub-Saharan region to boost economic growth and mitigate food insecurity concerns, it becomes important to consider how these types of economic improvements could affect malaria risk, particularly for those living in close proximity to irrigated sites. Appropriate control measures to curb malaria transmission enhanced by irrigated sites is imperative. It is important to maximize impact of available malaria control by ensuring adequate LLIN coverage and access to prompt treatment. Other additional measures may include larval source reduction through careful water resource management and larviciding of larval habitats, and indoor residual spray of insecticide for households near irrigation schemes among others. Future studies are needed to evaluate the impact of a community-led implementation of these control strategies on larval and adult vector abundance and malaria risk within irrigated agroecosystems.", "example_response": "Ensure adequate LLIN coverage and access to prompt malaria treatment to maximize the impact of existing malaria control. Reduce malaria larval sources through careful water resource management. Apply larviciding to larval habitats near irrigated sites to curb malaria transmission. Conduct indoor residual spraying of insecticide for households located near irrigation schemes. Implement community-led malaria control strategies within irrigated agroecosystems for impact evaluation. Consider malaria risk impacts when expanding irrigation schemes for economic growth and food security. Apply appropriate control measures to curb malaria transmission enhanced by irrigated sites.", "reasoning": "The paragraph highlights the relationship between the distance to irrigated agriculture and malaria risk, as well as the influence of socioeconomic factors on malaria epidemiology. It emphasizes the need for various control measures to mitigate malaria transmission, especially in areas near irrigation sites. The recommendations and future research directions indicate a clear set of policies necessary to effectively manage malaria risk associated with agriculture.", "pred_response": "Implement appropriate control measures to curb malaria transmission enhanced by irrigated agriculture; Ensure adequate coverage of long-lasting insecticidal nets (LLINs) and prompt access to treatment; Engage in larval source reduction through careful water resource management and larviciding; Conduct indoor residual spraying of insecticide for households near irrigation schemes; Evaluate the impact of community-led implementation of control strategies on vector abundance and malaria risk.", "CrossEncoderMetric": 0.9951469302177429}, {"question": "5 Conclusion Strict environmental regulations and EU targets aimed at decreasing the level of CO2 emissions have placed the electrification of the transport system at the centre of policy attention. However, it gives rise to the new challenges regarding the possible impact of PHEVs penetration on power system stability. The problem is not only possible supply problems, but also within the network itself, which might not be able to deliver the needed power to some areas.", "example_response": "Implement strict environmental regulations and EU CO\u2082-reduction targets that prioritize the electrification of the transport system. Increase the penetration of plug-in hybrid electric vehicles (PHEVs) in the transport system. Assess and address potential power system stability problems arising from PHEV penetration. Identify and mitigate network capacity limitations that may prevent power delivery to certain areas under increased PHEV charging demand.", "reasoning": "The conclusion emphasizes the need for stricter environmental regulations and the electrification of transport systems while acknowledging the challenges that arise from the penetration of Plug-in Hybrid Electric Vehicles (PHEVs). It implies a need for policies that address both the supply of power and the infrastructure of the power network in the context of increasing PHEV usage.", "pred_response": "Implement policies to enhance power system stability in response to PHEV penetration; Invest in infrastructure upgrades to ensure the power network can deliver needed power to all areas; Strengthen regulations surrounding the integration of electric vehicles into the energy supply chain.", "CrossEncoderMetric": 0.026117218658328056}, {"question": "The results show that the current grid might be unable to deal with the increasing load of PHEVs. Under the fixed price and time of use rate, a new peak will emerge in the late evening and this peak in many cases is higher than the existing peak without PHEVs. Therefore, there is a great possibility of congestion in the network, loss of voltage and frequency, and ultimately black outs. A similar situation holds for the controlled off peak charging under time of use rate. In comparison with uncontrolled charging, time of use rate does not provide a lower peak demand and it only decreases the duration of peak. These results suggest that even controlled off peak charging has a limited capacity and cannot be accounted as a comprehensive solution to the problem of PHEVs load.", "example_response": "Avoid relying on fixed electricity prices and time-of-use rates for PHEV charging because they create new evening peak loads. Avoid using controlled off-peak charging under time-of-use rates as a primary strategy for managing PHEV load. Do not treat time-of-use rate structures as a sufficient solution for reducing peak electricity demand from PHEV charging. Avoid relying on uncontrolled PHEV charging due to its potential to create network congestion, voltage and frequency losses, and blackouts.", "reasoning": "The paragraph discusses the limitations of the current grid in handling the load from plug-in hybrid electric vehicles (PHEVs), especially under fixed price and time-of-use rate plans. It highlights the potential for increased peak demand and the implications for network congestion and reliability. This analysis suggests a need for alternative strategies to manage the load effectively.", "pred_response": "Develop infrastructure to support increased grid capacity to handle PHEV loads; Implement dynamic pricing strategies that respond to real-time demand rather than fixed rates; Invest in smart grid technologies to enhance load management and reduce congestion; Explore alternative charging solutions that distribute load more evenly throughout the day; Encourage the development of energy storage systems to buffer demand spikes.", "CrossEncoderMetric": 0.9344027042388916}, {"question": "However, the simulation results show that real time pricing in the smart grid environment will not deteriorate the current peak demand. Instead, the smart grid effectively distributes the demand over the off peak period. In winter, when the system reliability concerns increase, it can be seen that no new peak emerges. Similarly, in the summer the maximum demand including PHEVs is lower than the existing peak demand without PHEVs. Therefore, by the aid of demand response in the smart grid environment, accommodating a huge number of PHEVs becomes technically and economically feasible.", "example_response": "Implement real-time pricing in the smart grid environment to distribute demand over the off-peak period. Use demand response in the smart grid environment to accommodate a large number of PHEVs.", "reasoning": "The paragraph discusses the benefits of implementing real-time pricing and demand response in a smart grid environment, highlighting that these strategies help to manage peak demand effectively without creating new peaks. It suggests that accommodating electric vehicles can be achieved in a cost-effective way thanks to these systems, demonstrating the potential for policy enhancement in energy distribution and management.", "pred_response": "Implement real-time pricing strategies in the smart grid to manage demand effectively; Promote demand response initiatives to accommodate increased use of plug-in hybrid electric vehicles (PHEVs); Enhance infrastructure to support the economic feasibility of integrating a large number of PHEVs.", "CrossEncoderMetric": 0.9982568621635437}, {"question": "The present paper analyzes and assesses from technical, economic and environmental viewpoints different initiatives in energy sector aiming at increasing energy efficiency in end use and reducing overall carbon emissions. Results are based on local energy planning studies for five Italian urban areas with about fifty thousand inhabitants. The analysis has been developed in order to reach generally applicable criteria suitable to evaluate the local energy policy contribute to the greenhouse gas (GHG) emissions reduction. The results point out the important contribution in GHG emission reduction coming from municipal institution, and the important role played by the municipalities in driving energy saving initiatives.", "example_response": "Implement initiatives in the energy sector aimed at increasing energy efficiency in end use. Implement initiatives in the energy sector aimed at reducing overall carbon emissions. Develop local energy policies using criteria suitable to evaluate contributions to greenhouse gas emissions reduction. Promote municipal energy-saving initiatives to contribute to greenhouse gas emissions reduction.", "reasoning": "The paragraph emphasizes the significant role of municipalities in promoting energy efficiency and reducing greenhouse gas emissions. It suggests that local energy policies can be evaluated based on their contribution to GHG reduction and highlights the importance of institutional involvement in energy-saving initiatives.", "pred_response": "Develop locally applicable energy policies that evaluate contributions to GHG emissions reduction; Encourage municipalities to lead energy-saving initiatives; Promote collaborations between local institutions and communities to enhance energy efficiency.", "CrossEncoderMetric": 0.9374337196350098}, {"question": "There was a very clear effect of seasonal temperature change on the burrowing rate, valve closure behaviour and locomotory speed in A. anatina. In addition, stark differences were seen in the oxygen consumption rates between summer- and winter-acclimatized A. anatina. We found only very limited evidence of thermal compensation. We are unaware of any data relating the behaviours we studied to temperature change; however, a comparison of previously published data examining the effects of temperature change on oxygen consumption from a range of bivalves is possible. Evidence from a number of marine (Newell and Pye, 1970a; Newell and Pye, 1970b; Widdows, 1973; Newell et al., 1977; Pernet et al., 2007; Resgalla et al., 2007; Pernet et al., 2008; Riascos et al., 2012) and freshwater (Hornbach et al., 1983; Baker and Hornbach, 2001; Alexander and McMahon, 2004) bivalve species indicates that bivalves compensate oxygen consumption rates at intermediate, and in some species, higher temperatures, while there is no evidence of compensation at lower temperatures. As our primary interest was the difference between summer- and winter-acclimatized mussels, we did not measure oxygen consumption rates in A. anatina at intermediate temperatures as well, and cannot conclusively say whether A. anatina partially compensates oxygen consumption at intermediate temperatures. Nonetheless, from Experiment 2, it is clear that there is no compensation of oxygen consumption rates evident between the summer and winter temperatures. If we consider parameters other than just the oxygen consumption for which we do have measurements at intermediate temperatures, i.e. Experiment 1s monthly measurements of BRI, valve closure duration and frequency and locomotory speed, we can see from the R\u2013T plot linear regression parameters that there is only slight evidence of partial compensation for BRI and inverse compensation of locomotion, while valve closure behaviour was not compensated. Consequently, we would not expect to find significant compensation of the oxygen consumption rates at intermediate temperatures either.", "example_response": "Measure seasonal temperature effects on burrowing rate, valve closure behavior, and locomotory speed in A. anatina. Measure oxygen consumption rates in summer- and winter-acclimatized A. anatina to compare thermal response. Compare oxygen consumption response of A. anatina with previously published data from other bivalve species. Analyze monthly measurements of BRI, valve closure duration and frequency, and locomotory speed to assess partial thermal compensation. Use R\u2013T plot linear regression parameters to evaluate thermal compensation in behavioral parameters.", "reasoning": "The paragraph discusses the effects of seasonal temperature changes on various behavioral and physiological responses in A. anatina, highlighting limited evidence for thermal compensation. It concludes that understanding how these responses relate to oxygen consumption demands more comprehensive studies and encourages further research on oxygen consumption rates at intermediate temperatures, as existing evidence suggests differential compensation across various temperature ranges in bivalves.", "pred_response": "Investigate the oxygen consumption rates of A. anatina at intermediate temperatures; Conduct comparative studies on the thermal compensation mechanisms across various bivalve species; Explore the relationship between seasonal temperature changes and physiological parameters beyond oxygen consumption.", "CrossEncoderMetric": 0.7898626327514648}, {"question": "The lack of seasonal acclimatization to cold, winter temperatures seen in A. anatina and the aforementioned species may be an energy-saving mechanism, allowing for a thermodynamically driven reduction in energetic requirements, which would correlate with seasonal reductions in food supply. This parallels similar conclusions from another study of the marine gastropod Littorina saxatalis (Sokolov et al., 2003). Cold-acclimated specimens from the White Sea (where food is extremely scarce in winter) had a significantly lower metabolic rate than cold-acclimated conspecifics from the North Sea, which continue to feed and be active in winter. Yet warm-acclimated specimens from both areas had comparable oxygen consumption rates, and were both significantly higher than cold-acclimated rates.", "example_response": "Use a lack of seasonal acclimatization to cold as an energy-saving mechanism in A. anatina and related species. Reduce energetic requirements during winter to correlate with seasonal reductions in food supply.", "reasoning": "The paragraph discusses how the lack of seasonal acclimatization in certain species may function as an energy-saving mechanism in response to food scarcity during winter. It draws a parallel to another study, suggesting that similar ecological strategies might be observed in other species. This points to the necessity for further exploration of energy management strategies across species facing seasonal food shortages.", "pred_response": "Investigate energy-saving mechanisms in cold-acclimatized species to understand their adaptations to seasonal food scarcity; Conduct comparative studies across different regions and species to examine the impact of acclimatization on metabolic rates; Explore the ecological implications of seasonal acclimatization strategies in relation to food supply availability.", "CrossEncoderMetric": 0.9408493638038635}, {"question": "One theoretical model that integrates dynamic energy budgeting (Kooijman, 2000) and the oxygen and capacity limitation of thermal tolerance (OCLTT) model (P\u00f6rtner, 2012) suggests that as acute thermal stress increases, oxygen supply and, as a consequence, oxygen consumption become increasingly limited, which leads to a progressive limitation in biological functioning. Working through a hierarchy of biological functions, an animal will progressively switch off less essential functions as oxygen supply and consumption become more limited. The first to go are lipid and carbohydrate storage, then reproduction and growth, followed by activity and finally homeostatic maintenance (Sokolova et al., 2012; Sokolova, 2013). What is neglected here is the process of feeding, which can come at a considerable energetic cost, provoking a significant increase in metabolic rate in bivalves (Lurman et al., 2013). Thus, we would expect that feeding would be one of the first processes, along with storage, that would be switched off, although in winter this may occur in response to a restricted food supply (see below). Much more work needs to be done to determine whether this model can be equally applied to acclimatization processes in A. anatina and other animals, or whether all biological processes are downregulated/upregulated to the same degree as a result of decreasing/increasing temperature, such that the entire system is thermodynamically driven, or whether less essential biological functions are switched off in winter. We predict that it may turn out to be a mix of both.", "example_response": "Switch off less essential biological functions progressively as oxygen supply and consumption become limited under acute thermal stress. Prioritize switching off lipid and carbohydrate storage, followed by reproduction and growth, then activity, and finally homeostatic maintenance under oxygen limitation. Consider feeding as a biological process that may be switched off early under oxygen limitation due to its high energetic cost. Investigate whether biological processes are downregulated or upregulated to the same degree across species and seasons under thermal stress. Predict that response to thermal stress may involve a mix of thermodynamically driven system-wide regulation and selective switching off of less essential functions.", "reasoning": "The paragraph discusses the need for further research to explore the applicability of a theoretical model that integrates energy budgeting and thermal tolerance to various biological processes in animals. It highlights the neglect of feeding as a significant process affected by thermal stress and suggests that more work is necessary to understand how different biological functions respond to temperature changes.", "pred_response": "Investigate the energetic costs of feeding in relation to thermal stress and its prioritization alongside lipid and carbohydrate storage; Explore the applicability of the dynamic energy budgeting and OCLTT model to acclimatization processes in A. anatina and other species; Determine whether biological processes are uniformly downregulated or if less essential functions are selectively switched off in response to temperature changes.", "CrossEncoderMetric": 0.7381081581115723}, {"question": "We are unable to know whether other biological rates such as feeding, growth or cellular processes were compensated as a result of seasonal temperature; however, the fact remains that A. anatina did not (within the experimental errors of this study) thermally compensate BRI, valve closure behaviour, locomotory speed or oxygen consumption. Given that this species is in a temperate zone and experiences wide seasonal thermal variation as well as temperature fluctuations across days (rather than hours), current theory would suggest it should be highly plastic between seasons. These are all the conditions where we would expect thermal plasticity to evolve (Gabriel and Lynch, 1992; Angilletta, 2009). So, why do they not acclimatize? In short, because there is no evolutionary pressure to do so as the costs may outweigh the benefits. As exemplified by fishes, the primary factor driving thermal compensation is predation. A fish is either a predator or prey. In either case, it is of obvious advantage to maintain locomotory performance. Consequently, cold acclimation typically leads to compensation of a suite of biological processes that ultimately affect locomotion (e.g. Johnston and Temple, 2002; Woytanowski and Coughlin, 2013). Changes typically include alterations in the energy production machinery either at a molecular level, taking the form of alterations in enzyme isoform expression and membrane lipid compensation, or at the cellular level, with changes in mitochondrial volume density (Sidell, 1983; Johnston et al., 1998; Guderley, 2004b; Abele, 2012). In the muscle itself, there can be changes in ion channel function (McArdle and Johnston, 1982; Godiksen and Jessen, 2002) as well as changes in muscle fibre protein composition (Johnston and Temple, 2002; Tattersall et al., 2012) and recruitment order (Rome, 1990; Catal\u00e1n et al., 2004). At a physiological level, there are also changes in cardiac function (Keen and Farrell, 1994; Lurman et al., 2012). These factors combined lead to maintained swimming performance despite changes in temperature, and thus maintained ability to out-swim predators or catch prey. Of course we cannot rule out similar molecular or cellular acclimation processes in A. anatina, despite our integrative measures generally showing otherwise.", "example_response": "Maintain locomotory performance in organisms to ensure predator avoidance or prey capture under temperature fluctuations. Compensate biological processes affecting locomotion through alterations in energy production machinery at molecular and cellular levels. Adjust muscle function via changes in ion channel activity, fibre protein composition, and recruitment order to maintain performance under thermal variation. Modify cardiac function to support maintained swimming performance across temperature changes. Apply integrative measures to detect potential molecular or cellular acclimation processes in species despite lack of observed thermal compensation.", "reasoning": "The paragraph discusses the lack of thermal compensation in the species A. anatina despite existing theories suggesting that it should exhibit such plasticity. It emphasizes the absence of evolutionary pressure as a potential explanation for this phenomenon. Additionally, it highlights the mechanisms that drive thermal compensation in other organisms, particularly fishes, and suggests that further investigation into potential molecular or cellular acclimation processes in A. anatina could be warranted. As such, there are implicit recommendations for exploring the evolutionary perspectives on acclimatization and considering adaptations in response to temperature variations.", "pred_response": "Investigate the evolutionary pressures influencing thermal compensation in A. anatina; Explore potential molecular and cellular acclimation processes in A. anatina; Examine the relationship between ecological factors, such as predation, and physiological adaptations to temperature changes.", "CrossEncoderMetric": 0.026177342981100082}, {"question": "Indeed, similar compensatory mechanisms have been identified in bivalves (Abele, 2012). The only examination of bivalve locomotory performance we can find showed that swimming performance in the scallops Chlamys islandica and Euvola ziczac was not affected by changes in temperature; however, the recovery duration was prolonged (Guderley, 2004a). This can be explained in part by the fact that swimming is anaerobic, and thus relatively temperature independent. Recovery, by contrast, depends upon aerobic machinery, which is in turn dependent upon metabolic rates set, at least in part, by temperature.", "example_response": "Assess bivalve swimming performance under different temperatures to evaluate compensatory mechanisms. Consider recovery duration in bivalves as dependent on aerobic metabolism influenced by temperature.", "reasoning": "The paragraph discusses the locomotory performance of bivalves, particularly focusing on the effects of temperature on swimming performance and recovery duration. It highlights the need for further understanding of how temperature influences metabolic processes in bivalves and suggests exploring the implications of temperature variations on their locomotor capabilities and recovery mechanisms.", "pred_response": "Investigate the effects of temperature on the metabolic rates of bivalves and how these rates influence locomotory performance and recovery; Conduct studies on other bivalve species to examine the relationship between temperature and both anaerobic performance and aerobic recovery.", "CrossEncoderMetric": 0.9618318676948547}, {"question": "With respect to A. anatina, there is no reason to believe that these mussels are predated upon in their natural setting. What is more, even if they were, they would have no chance of outrunning a predator given that their maximal \u2018walking\u2019 speed is less than 1 cm min\u22121 between 20 and 26\u00b0C. Indeed the best strategy they can, and indeed do, adopt is to simply shut their valves and wait for any predator to leave. In light of this, the longer a mussel can stay closed, the better. The consequence of which is that their metabolic rates are kept as low as possible. Moreover, these mussels are not active predators and compensation of locomotory rates to enable prey capture is equally unnecessary, and with respect to keeping the metabolic rate low, also of potential disadvantage. If they want to increase their feeding rate they must simply increase filtration rates, as seen in other bivalves (Thompson and Bayne, 1972; Riisg\u00e5rd et al., 2003). However, given that algal concentrations in freshwater bodies are generally low in winter months, there is little reason to increase filtration rates. Thus, being neither predator nor prey, there is little for A. anatina to gain by increasing locomotory ability, as the increased metabolic rate would reduce their ability to close their valves when under threat, i.e. the costs must outweigh the benefits.", "example_response": "Adopt valve closure as the primary defensive strategy to avoid predation. Keep metabolic rates as low as possible by remaining inactive when threatened. Increase feeding rate by raising filtration rates rather than locomotory activity. Do not increase locomotory ability, as higher metabolic rates would reduce the ability to close valves under threat.", "reasoning": "The paragraph discusses the behavioral and metabolic strategies of A. anatina, suggesting that being a non-predator and non-prey, these mussels have adapted to minimize energy expenditure and maximize survival by staying closed in the presence of threats. Future research directions could focus on maintaining low metabolic rates and understanding filtration rate strategies without needing increased locomotion. This reflects the importance of adaptive strategies in response to ecological niches and environmental conditions, which could lead to specific policy recommendations regarding conservation efforts and habitat management.", "pred_response": "Promote conservation strategies that protect the natural habitats of A. anatina to ensure their survival; Support research on the metabolic and behavioral adaptations of mussels to inform conservation policies; Encourage monitoring of freshwater algal concentrations to understand their impact on mussel feeding strategies.", "CrossEncoderMetric": 0.0011388877173885703}, {"question": "That said, there are other forms of thermal compensation and acclimation that we did not explore. The phenomena of heat and cold hardening have been well studied in plants, bacteria and fruit flies. There is a clear demonstrable advantage where short-term exposure to very high or low, but non-lethal temperatures can result in a favourable shift in the upper or lower critical temperature, respectively, while other physiological and performance characteristics remain unchanged (Hoffmann, 1995). One study recently found that acclimation can have an (albeit minimal) affect on the upper critical thermal maximum in North American freshwater mussels, with an increase of 1\u20132\u00b0C following acclimation seen in two of three species tested (Galbraith et al., 2012). With many species living close to their upper thermal limit, a difference of 1\u20132\u00b0C may be the difference between life and death. It remains to be seen whether the thermal tolerance limits show signs of thermal compensation in A. anatina.", "example_response": "Use short-term exposure to very high or low, non-lethal temperatures to induce heat or cold hardening in organisms. Investigate whether thermal tolerance limits show signs of thermal compensation in A. anatina.", "reasoning": "The paragraph discusses thermal compensation and acclimation in various species, emphasizing the potential significance of temperature changes for survival in species close to their thermal limits. It indicates a need for further research into thermal tolerance limits, particularly in specific species like A. anatina, suggesting actionable paths for future studies.", "pred_response": "Investigate the mechanisms of thermal compensation and acclimation in A. anatina; Conduct studies to determine the effects of short-term temperature exposure on thermal tolerance limits in various species; Explore the implications of minimal temperature increases (1-2\u00b0C) in survival and physiological performance of species near their thermal limits.", "CrossEncoderMetric": 0.982165515422821}, {"question": "To summarise, A. anatina, like many bivalves, has a very low-energy lifestyle. It inhabits a relatively stable thermal environment (in the short-term when compared with the marine intertidal), where temperature changes are slow. We suggest that these two factors serve as selective pressures for these mussels to not compensate behaviour or metabolic rate. Because their only predator avoidance mechanism is to close their valves, combined with the fact that they are subject to considerable seasonal fluctuations in food supplies, they instead simply allow their behaviour and metabolic rate to fluctuate at the behest of the seasons. Given the 500 million year fossil record for bivalves, this is most clearly an ecologically and evolutionary successful strategy that needs to be further explored and more explicitly considered in acclimation/acclimatization models.", "example_response": "Explore and explicitly consider the low-energy lifestyle and seasonal fluctuation strategy of A. anatina in acclimation and acclimatization models.", "reasoning": "The paragraph discusses the ecological and evolutionary strategies of A. anatina, emphasizing the importance of its low-energy lifestyle and behavioral flexibility in response to environmental conditions. It suggests that these factors should be considered in future research related to acclimation and acclimatization models, indicating a need for further exploration of these strategies.", "pred_response": "Explore the ecological and evolutionary strategies of A. anatina in relation to its low-energy lifestyle and environmental stability; Investigate the implications of this species' behavioral and metabolic flexibility for acclimation and acclimatization models.", "CrossEncoderMetric": 0.9981105327606201}, {"question": "CONCLUSIONS AND IMPLICATION In conclusion, the study found that while most participants knew the dietary influence on their conditions, a significant proportion was unaware of it. Cultural practices, such as consuming traditional carbohydrate-rich foods, posed a challenge to some participants in making proper dietary choices. However, most patients had received the necessary support from family, spouses, and friends to adhere to the recommended changes in their diet. The findings also revealed that patients were willing to change their dietary practices and had adequate knowledge to self-manage their conditions. However, eating a balanced diet remained a challenge due to affordability and the availability of recommended foods. Overall, the study emphasised the significance of nutrition education and counselling in empowering patients to manage their conditions effectively.", "example_response": "Provide nutrition education to empower patients to manage their conditions effectively. Provide nutrition counselling to support patients in adhering to recommended dietary changes. Encourage support from family, spouses, and friends to help patients adhere to recommended dietary changes. Promote awareness of dietary influences on health conditions to improve patients\u2019 dietary choices.", "reasoning": "The conclusions highlight the importance of nutrition education and counseling for patients managing dietary-related conditions. They suggest that while there is a willingness to change dietary practices among patients, challenges related to cultural practices, food affordability, and availability impact their ability to do so. The findings imply various policy recommendations to enhance patient support and education.", "pred_response": "Promote nutrition education and counseling programs to empower patients in managing their dietary practices; Address cultural dietary challenges by integrating traditional foods into nutrition guidelines; Improve access to affordable, recommended foods to support healthier eating; Involve family and community support systems in dietary changes.", "CrossEncoderMetric": 0.9985833168029785}, {"question": "Implications Based on the studys findings, there are several implications for healthcare workers and policymakers. While providing nutrition education and counselling is commendable, healthcare workers should put more effort into ensuring that the message is clearly understood by patients, especially those with poor knowledge. Furthermore, healthcare providers should consider cultural practices, such as consuming traditional foods, when developing patient 33 dietary plans. To help patients contextualise their knowledge, experiential learning through a hospital kitchen could greatly benefit. The study also indicates that food security remains a challenge in the country, and policymakers should develop strategies to ensure that food security is addressed, especially for the ageing population. Finally, the study revealed that a low proportion of participants had their HbA1c levels measured within the last three months, which is a concern that requires further investigation by the CDM clinic team.", "example_response": "Ensure nutrition education and counselling messages are clearly understood by patients, especially those with poor knowledge. Consider cultural practices, such as consuming traditional foods, when developing patient dietary plans. Use experiential learning through a hospital kitchen to help patients contextualise their nutrition knowledge. Develop strategies to ensure food security, especially for the ageing population. Investigate the low proportion of participants with recent HbA1c measurements in the last three months.", "reasoning": "The paragraph outlines several recommendations aimed at improving healthcare delivery and policies related to nutrition education and food security. It emphasizes the importance of effective communication of health messages, cultural considerations in dietary planning, experiential learning opportunities, and addressing food security for vulnerable populations. Additionally, it highlights the need for further investigation into patient health monitoring practices.", "pred_response": "Enhance communication of nutrition education to ensure clear understanding by patients; Consider cultural practices in developing dietary plans; Implement experiential learning opportunities through a hospital kitchen; Develop strategies to address food security, especially for the aging population; Investigate the low proportion of patients having their HbA1c levels measured within the last three months.", "CrossEncoderMetric": 0.8815624713897705}]
\ No newline at end of file
diff --git a/policy_analysis/dspy_policies_extraction/synthetic_data_generation/data_generator.py b/policy_analysis/dspy_policies_extraction/synthetic_data_generation/data_generator.py
deleted file mode 100644
index 2553d962..00000000
--- a/policy_analysis/dspy_policies_extraction/synthetic_data_generation/data_generator.py
+++ /dev/null
@@ -1,77 +0,0 @@
-from openai import OpenAI
-import json
-import time
-import os
-from pathlib import Path
-import re
-from dotenv import load_dotenv
-import random
-
-load_dotenv()
-client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
-
-def extract_json(text):
-    """Extract the first JSON object from a string."""
-    try:
-        match = re.search(r'\{.*\}', text, re.DOTALL)
-        if match:
-            return json.loads(match.group())
-    except json.JSONDecodeError:
-        return None
-
-def generate_synthetic_qa(existing_qa, n_samples=5, max_retries=3):
-    synthetic_data = []
-
-    for i in range(n_samples):
-        existing_qa_sample = random.sample(existing_qa, 4)
-        for attempt in range(max_retries):
-            prompt = (
-                "You are a creative data generator. Given the following examples of question–response pairs, "
-                "generate ONE new question–response pair that is related to the same domain but introduces "
-                "some novelty in topic, phrasing, or perspective. Try to make it distinct from the examples, "
-                "while keeping the difficulty and style appropriate.\n\n"
-                f"Examples:\n{json.dumps(existing_qa_sample)}\n\n"
-                "Output ONLY a JSON object with fields: question, response. "
-                "Do not repeat any content from the examples."
-            )
-
-            response = client.chat.completions.create(
-                model="gpt-4.1",
-                messages=[{"role": "user", "content": prompt}],
-                temperature=0.8
-            )
-
-            text = response.choices[0].message.content
-            parsed = extract_json(text)
-            print(f"Attempt {attempt+1} for sample {i}: {text}")
-            if parsed:
-                synthetic_data.append(parsed)
-                break  # success, go to next sample
-            else:
-                print(f"Warning: Failed to parse JSON for sample {i}, attempt {attempt+1}. Retrying...")
-                time.sleep(0.5)
-        else:
-            print(f"Skipping sample {i} after {max_retries} failed attempts.")
-
-    return synthetic_data
-
-# ---- EXAMPLE USAGE ----
-# Read JSONL
-root = Path(__file__).parent
-original = []
-extracted_politics_examples_fp = root / "extracted_politics_examples.jsonl"
-with extracted_politics_examples_fp.open("r", encoding="utf-8") as f:
-    for line in f:
-        original.append(json.loads(line))
-
-guidance_examples = original[:32]  # On utiliser tous les exemples gold que l'on a pour la génération de données synthétiques
-
-synthetic = generate_synthetic_qa(guidance_examples, n_samples=100)
-
-# Write to JSONL
-synthetic_qa_fp = root / "synthetic_qa2.jsonl"
-with synthetic_qa_fp.open( "w", encoding="utf-8") as f:
-    for item in synthetic:
-        f.write(json.dumps(item, ensure_ascii=False) + "\n")
-
-print(f"Synthetic dataset saved to {synthetic_qa_fp}")
diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/README_MULTI_AGENT.md b/policy_analysis/old/agentic_data_policies_extraction/README_MULTI_AGENT.md
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rename from policy_analysis/src/policy_analysis/agentic_data_policies_extraction/README_MULTI_AGENT.md
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/param_optim/__init__.py b/policy_analysis/old/agentic_data_policies_extraction/__init__.py
similarity index 100%
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/policies_transformation_to_matrices/__init__.py b/policy_analysis/old/agentic_data_policies_extraction/clients/__init__.py
similarity index 100%
rename from policy_analysis/src/policy_analysis/agentic_data_policies_extraction/policies_transformation_to_matrices/__init__.py
rename to policy_analysis/old/agentic_data_policies_extraction/clients/__init__.py
diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/clients/database_client.py b/policy_analysis/old/agentic_data_policies_extraction/clients/database_client.py
similarity index 100%
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/clients/qdrant_client.py b/policy_analysis/old/agentic_data_policies_extraction/clients/qdrant_client.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/example_usage.py b/policy_analysis/old/agentic_data_policies_extraction/example_usage.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/prompts/__init__.py b/policy_analysis/old/agentic_data_policies_extraction/handlers/__init__.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/handlers/agent_orchestrator.py b/policy_analysis/old/agentic_data_policies_extraction/handlers/agent_orchestrator.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/handlers/enhanced_main_handler.py b/policy_analysis/old/agentic_data_policies_extraction/handlers/enhanced_main_handler.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/handlers/main_handler.py b/policy_analysis/old/agentic_data_policies_extraction/handlers/main_handler.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/param_optim/preprocess.py b/policy_analysis/old/agentic_data_policies_extraction/param_optim/preprocess.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/param_optim/run_opti.py b/policy_analysis/old/agentic_data_policies_extraction/param_optim/run_opti.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/policies_transformation_to_matrices/README.md b/policy_analysis/old/agentic_data_policies_extraction/policies_transformation_to_matrices/README.md
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diff --git a/policy_analysis/old/agentic_data_policies_extraction/policies_transformation_to_matrices/__init__.py b/policy_analysis/old/agentic_data_policies_extraction/policies_transformation_to_matrices/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/policies_transformation_to_matrices/complete_pipeline.py b/policy_analysis/old/agentic_data_policies_extraction/policies_transformation_to_matrices/complete_pipeline.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/policies_transformation_to_matrices/db_to_csv.py b/policy_analysis/old/agentic_data_policies_extraction/policies_transformation_to_matrices/db_to_csv.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/policies_transformation_to_matrices/merge_policies_kmean_2.py b/policy_analysis/old/agentic_data_policies_extraction/policies_transformation_to_matrices/merge_policies_kmean_2.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/policies_transformation_to_matrices/merge_policies_knn.py b/policy_analysis/old/agentic_data_policies_extraction/policies_transformation_to_matrices/merge_policies_knn.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/policies_transformation_to_matrices/modelling.py b/policy_analysis/old/agentic_data_policies_extraction/policies_transformation_to_matrices/modelling.py
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diff --git a/policy_analysis/old/agentic_data_policies_extraction/prompts/__init__.py b/policy_analysis/old/agentic_data_policies_extraction/prompts/__init__.py
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diff --git a/policy_analysis/src/policy_analysis/agentic_data_policies_extraction/prompts/agent_prompts.py b/policy_analysis/old/agentic_data_policies_extraction/prompts/agent_prompts.py
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diff --git a/policy_analysis/data/archive_data/pdf_test/1-s2.0-S0094119008001095-main.pdf b/policy_analysis/old/archive_data/pdf_test/1-s2.0-S0094119008001095-main.pdf
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rename to policy_analysis/policies_clustering/clusterings.py
diff --git a/policy_analysis/src/policy_analysis/policies_clustering/embeddings.py b/policy_analysis/policies_clustering/embeddings.py
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rename from policy_analysis/src/policy_analysis/policies_clustering/embeddings.py
rename to policy_analysis/policies_clustering/embeddings.py
diff --git a/policy_analysis/src/policy_analysis/policies_clustering/reduction.py b/policy_analysis/policies_clustering/reduction.py
similarity index 100%
rename from policy_analysis/src/policy_analysis/policies_clustering/reduction.py
rename to policy_analysis/policies_clustering/reduction.py
diff --git a/policy_analysis/src/policy_analysis/policies_clustering/report.py b/policy_analysis/policies_clustering/report.py
similarity index 100%
rename from policy_analysis/src/policy_analysis/policies_clustering/report.py
rename to policy_analysis/policies_clustering/report.py
diff --git a/policy_analysis/pyproject.toml b/policy_analysis/pyproject.toml
index 743b8fdd..590797fe 100644
--- a/policy_analysis/pyproject.toml
+++ b/policy_analysis/pyproject.toml
@@ -43,15 +43,12 @@ agentic = [
 all = [
     "policy-analysis[dspy,agentic]"
 ]
+
 clustering = [
     "hdbscan>=0.8.40",
     "scikit-learn>=1.6.1",
     "umap-learn>=0.5.9.post2",
 ]
 
-[build-system]
-requires = ["hatchling"]
-build-backend = "hatchling.build"
 
-[tool.hatch.build.targets.wheel]
-packages = ["src/policy_analysis"]
+
diff --git a/policy_analysis/uv.lock b/policy_analysis/uv.lock
index 7a902bce..daa0f41b 100644
--- a/policy_analysis/uv.lock
+++ b/policy_analysis/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 3
+revision = 1
 requires-python = ">=3.12"
 resolution-markers = [
     "python_full_version >= '3.14'",
@@ -11,9 +11,9 @@ resolution-markers = [
 name = "aiohappyeyeballs"
 version = "2.6.1"
 source = { registry = "https://pypi.org/simple" }
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