Merge pull request #160 from DiogoRibeiro7/feat/reserve_branche

Feat/reserve branche

Author: github-actions[bot]

_posts/-_ideas/2030-01-01-biographys.md

@@ -33,30 +33,27 @@ title: 'Mathematicians Biographies: Exploring the Lives Behind Mathematical Disc
 - **TODO: Emmy Noether: The Mother of Modern Algebra**
    - Explore the life and contributions of Emmy Noether, a pioneering mathematician known for her foundational work in **abstract algebra** and **Noether's Theorem**, which links symmetries and conservation laws in physics.
 
-- **TODO: Mary Cartwright: Chaos Theory and Nonlinear Dynamics**
-   - Discover Mary Cartwright’s groundbreaking contributions to **chaos theory** and **nonlinear differential equations**. The article discusses her influence on the development of modern chaos theory and her collaboration with J.E. Littlewood.
+
 
 
 - **TODO: Carl Friedrich Gauss: The Prince of Mathematicians**
    - A biography of Carl Gauss, who made significant contributions to **number theory**, **algebra**, **statistics**, and more. The article covers his early genius, major works, and long-term influence on mathematics.
 
-- **TODO: Hypatia of Alexandria: The First Known Female Mathematician**
-   - Learn about Hypatia, one of the first recorded female mathematicians, who made important contributions to **geometry** and **astronomy** in ancient Alexandria. Her tragic death and her enduring legacy in mathematics and philosophy are discussed.
+
 
 - **TODO: Évariste Galois: Revolutionary Mathematician**
    - The brief and tragic life of Évariste Galois, whose work laid the foundations of **group theory** and **abstract algebra**. This article covers his radical political views and the mathematical genius cut short at a young age.
 
-- **TODO: Katherine Johnson: The Human Computer Behind NASA’s Space Missions**
-   - Explore the remarkable life of Katherine Johnson, a **NASA mathematician** who calculated trajectories for the Mercury and Apollo missions. This article delves into her key role in space exploration and her contributions to **applied mathematics**.
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 - **TODO: Leonhard Euler: Prolific Contributor to Every Mathematical Field**
    - Learn about Euler’s extraordinary career, where he made foundational contributions to **graph theory**, **calculus**, and **topology**. The article focuses on his vast output and mathematical notation still used today.
 
 - **TODO: Srinivasa Ramanujan: The Self-Taught Genius**
    - A captivating biography of Ramanujan, an Indian mathematician whose intuitive approach to mathematics led to groundbreaking work in **number theory**, despite his lack of formal training. The article explores his partnership with G.H. Hardy and his profound contributions.
 
-- **TODO: Mary Somerville: Bridging Astronomy and Mathematics**
-   - Learn about Mary Somerville, a mathematician and polymath who made significant contributions to **astronomy** and **mathematical physics**. She was one of the first women to be published in scientific journals and helped lay the groundwork for modern science communication.
+
 
 - **TODO: Henri Poincaré: The Father of Topology**
    - A deep dive into Poincaré’s work in **topology**, **dynamical systems**, and **celestial mechanics**. This article explores his influential ideas, including the "Poincaré Conjecture" and his role in the development of chaos theory.

_posts/-_ideas/Economics Articles to Explore Using Data Science and Mathematical Tools.md

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+---
+tags: []
+---
+
+## List of Economics Articles to Explore Using Data Science and Mathematical Tools
+
+- TODO: **Predictive Analytics for Economic Growth**  
+  - Using machine learning to forecast economic growth based on macroeconomic indicators (e.g., GDP, inflation, unemployment).
+
+- TODO: **Income Inequality and Its Impact on Social Mobility**  
+  - Studying the relationship between income inequality and social mobility using data analysis and statistical modeling.
+
+- TODO: **Time Series Analysis of Stock Market Volatility**  
+  - Applying time series models like ARIMA and GARCH to analyze and predict stock market fluctuations.
+
+- TODO: **Game Theory in Financial Markets**  
+  - Analyzing strategic decision-making in financial markets using game-theoretic models and simulations.
+
+- TODO: **Agent-Based Modeling of Labor Markets**  
+  - Using agent-based models to simulate labor market dynamics and the effects of different labor policies.
+
+- TODO: **Big Data in Behavioral Economics**  
+  - Leveraging large datasets to understand consumer behavior and decision-making patterns through statistical and machine learning models.
+
+- TODO: **Economic Impact of Climate Change**  
+  - Using data science tools to estimate the economic consequences of climate change on different industries and regions.
+
+- TODO: **Stochastic Models for Exchange Rates**  
+  - Applying stochastic differential equations to model and predict currency exchange rate movements.
+
+- TODO: **Machine Learning for Credit Risk Assessment**  
+  - Developing predictive models using machine learning algorithms to assess credit risk in the financial industry.
+
+- TODO: **Analyzing Global Trade Patterns Using Network Theory**  
+  - Applying network theory to study the structure and dynamics of international trade relationships.
+
+- TODO: **Predicting Real Estate Market Trends**  
+  - Using data science techniques to forecast real estate prices and demand based on historical data and economic indicators.
+
+- TODO: **Optimization Techniques in Supply Chain Management**  
+  - Applying mathematical optimization and data science to improve efficiency and reduce costs in supply chain systems.
+
+- TODO: **Sentiment Analysis for Economic Forecasting**  
+  - Using natural language processing (NLP) to analyze news and social media sentiment to forecast economic trends.
+
+- TODO: **Financial Fraud Detection Using Machine Learning**  
+  - Developing machine learning models to detect and prevent financial fraud in banking and online transactions.
+
+- TODO: **Impact of Automation on Employment**  
+  - Analyzing the effects of technological automation on job markets using data analysis and econometric models.
+
+- TODO: **Predicting Consumer Price Index (CPI) Inflation**  
+  - Building predictive models to forecast inflation rates based on consumer price index data.
+
+- TODO: **Taxation and Income Redistribution Models**  
+  - Using mathematical and computational tools to simulate the effects of different tax policies on income distribution.
+
+- TODO: **Data Science in Healthcare Economics**  
+  - Applying data analytics to optimize healthcare spending, assess cost-effectiveness, and predict healthcare outcomes.
+
+- TODO: **Analyzing Cryptocurrency Markets Using Statistical Models**  
+  - Studying price volatility, trading patterns, and market efficiency in cryptocurrency markets using advanced statistical methods.
+
+- TODO: **Evaluating the Impact of Universal Basic Income (UBI)**  
+  - Using data-driven approaches to assess the economic and social impact of UBI policies.
+
+- TODO: **Regression Models for Unemployment Forecasting**  
+  - Developing econometric regression models to predict changes in unemployment rates based on macroeconomic indicators.
+
+- TODO: **Econometrics of Housing Affordability**  
+  - Analyzing housing affordability trends and the impact of housing policies using econometric models and data science.
+
+- TODO: **Modeling Wealth Distribution with Econophysics**  
+  - Applying econophysics and statistical mechanics models to study the distribution of wealth in societies.
+
+- TODO: **Data-Driven Analysis of Consumer Spending Patterns**  
+  - Using machine learning to uncover patterns in consumer spending based on transaction data and economic variables.
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+- TODO: **Risk Management in Financial Portfolios Using Optimization**  
+  - Applying mathematical optimization techniques to minimize risk and maximize returns in investment portfolios.
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+- TODO: **Using Natural Language Processing for Economic Policy Analysis**  
+  - Analyzing political speeches, government reports, and policy documents using NLP to predict economic policy impacts.
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+- TODO: **Urbanization and Economic Development: A Data Science Approach**  
+  - Studying the relationship between urbanization and economic growth using geospatial data and data science tools.
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+- TODO: **Measuring Productivity Growth with Data Envelopment Analysis (DEA)**  
+  - Using DEA to measure the efficiency of businesses and industries in contributing to economic productivity.
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+---
+
+This list provides a diverse range of economics topics that can be studied using data science and mathematical tools, from predictive modeling to network theory and machine learning.

_posts/-_ideas/female_mathematicians.md

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+---
+tags: []
+---
+
+## List of Notable Female Mathematicians
+
+
+
+
+
+- **TODO: Mary Somerville (1780–1872)**  
+  - Known for her work in **astronomy** and **mathematical physics**, Mary Somerville was one of the first women to be recognized as a scientist in her era. Her writings made science accessible to a broader audience.
+
+- **TODO: Emmy Noether (1882–1935)**  
+  - A groundbreaking mathematician, Emmy Noether made monumental contributions to **abstract algebra** and **Noether's Theorem**, which is fundamental in linking symmetries and conservation laws in physics.
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+- **TODO: Mary Cartwright (1900–1998)**  
+  - A pioneer in **nonlinear differential equations** and **chaos theory**, Mary Cartwright made significant contributions to applied mathematics and her work paved the way for modern developments in chaos theory.
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+- **TODO: Shafi Goldwasser (1958–Present)**  
+  - A contemporary mathematician and computer scientist, Shafi Goldwasser is known for her work in **cryptography** and **complexity theory**. She has received the **Turing Award**, the highest honor in computer science.
+
+- **TODO: Ingrid Daubechies (1954–Present)**  
+  - Ingrid Daubechies is famous for her work on **wavelets** in signal processing and **image compression**. Her research has had profound applications in both mathematics and engineering.
+
+- **TODO: Karen Uhlenbeck (1942–Present)**  
+  - Known for her work in **geometric analysis** and **partial differential equations**, Karen Uhlenbeck was the first woman to win the prestigious **Abel Prize** in mathematics, awarded for outstanding scientific work.
+
+- **TODO: Evelyn Boyd Granville (1924–2023)**  
+  - One of the first African-American women to earn a PhD in mathematics, Evelyn Boyd Granville worked on the U.S. space program and made significant contributions to **computer programming** and **numerical analysis**.
+
+- **TODO: Marjorie Lee Browne (1914–1979)**  
+  - A mathematician and educator, Marjorie Lee Browne was one of the first African-American women to receive a PhD in mathematics. She worked on **mathematical education** and contributed to advancing African-American participation in mathematics.

_posts/-_ideas/list of models for wealth inequalitie.md

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+---
+tags: []
+---
+
+## Appendix: TODO List of Models for Wealth Distribution and Inequality
+
+- TODO: **Explore Agent-Based Models (ABM)**  
+  - Simulate individual interactions with rules for wealth exchanges, consumption, and savings.
+  - Analyze emergent global patterns like wealth inequality.
+  - Test economic policies (e.g., taxes) for effects on inequality.
+
+- TODO: **Study Pareto Distribution Model**  
+  - Investigate how a small portion of the population holds a large share of wealth (Pareto's Law).
+  - Focus on heavy-tailed distributions for the wealthiest individuals.
+  - Analyze real-world data to validate the model.
+
+- TODO: **Apply Stochastic Models**  
+  - Model wealth accumulation and redistribution as random processes.
+  - Use stochastic differential equations to simulate wealth fluctuations.
+  - Examine how random interactions contribute to equilibrium or persistent inequality.
+
+- TODO: **Implement Markov Chain Models**  
+  - Track transitions between different wealth states (e.g., poor, rich) using probabilities.
+  - Explore how future wealth depends only on current state (memorylessness).
+  - Simulate long-term transitions to study wealth mobility.
+
+- TODO: **Analyze Lorenz Curve and Gini Coefficient**  
+  - Plot the cumulative distribution of wealth for different population segments.
+  - Calculate the Gini coefficient to measure wealth inequality.
+  - Compare Lorenz curves across different economies to visualize inequality.
+
+- TODO: **Study Boltzmann-Gibbs Distribution (Econophysics)**  
+  - Model wealth distribution using analogies from statistical mechanics.
+  - Analyze how wealth is exchanged randomly between individuals.
+  - Study the exponential distribution of wealth for most individuals, with Pareto’s law for the top.
+
+- TODO: **Examine Kinetic Wealth Exchange Models**  
+  - Model wealth exchanges between individuals like energy exchanges between particles.
+  - Analyze how random pairwise exchanges affect overall wealth distribution.
+  - Explore conservation laws to see how wealth remains constant but is redistributed.
+
+- TODO: **Investigate Game-Theoretic Models**  
+  - Model strategic interactions where individuals decide on savings, investments, and consumption.
+  - Analyze how equilibrium strategies lead to wealth outcomes.
+  - Study the effects of strategic behavior on long-term inequality.
+
+- TODO: **Explore Endogenous Growth Models**  
+  - Study how wealth grows due to internal factors like innovation and education.
+  - Model how wealthy individuals benefit more from growth opportunities.
+  - Investigate feedback loops that reinforce inequality.
+
+- TODO: **Implement Wealth and Income Shock Models**  
+  - Model the effects of random shocks (e.g., unemployment, health crises) on wealth.
+  - Simulate how different wealth classes recover from shocks.
+  - Study how shocks exacerbate or mitigate long-term wealth inequality.
+
+---
+Each of these TODO items represents a different model or approach to understanding wealth distribution and inequality, offering various ways to simulate and analyze economic outcomes.