Bio_informatics_science_technology_image_beyond_1/2025-09-09_关于写作的两个观点.qmd at main · iamhealthy/Bio_informatics_science_technology_image_beyond_1 · GitHub

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---
title: 关于写作
subtitle: 关于写作的两个观点
date: 2025-09-09
toc-depth: 4
toc-expand: true
lang: en
---

最近留意到两个对于“写作/writing”的观点，反正笔者读进去了，因此分享出来，并不严谨的图示比较。

## 1. 观点1

<center>
![](images/nrb.png){width="80%"}
</center>

> Writing compels us to think — not in the chaotic, non-linear way our minds typically wander, but in a structured, intentional manner. [@nrb2025]

> 写作迫使我们思考 - 不是以我们大脑通常混乱、非线性的方式，而是以一种结构化的、有目的的方式。[@nrb2025]

## 2. 观点2

<center>
![**Wolfgang Huber**, Statistician, Computational Biologist, R | Bioconductor. Love statistics (stats) and machine learning (ML). **Lab website**: https://www.huber.embl.de/group/. **Textbook**: ***Modern Statistics for Modern Biology***, website: www.huber.embl.de/msmb/.](images/Wolfgang_Huber.jpg){width="80%"}
</center>

> Clear lines of logical argument, precise definitions, often can only be composed in writing. Paper and pencil (or the word processor) are extensions of our brains. [@Humber2025]

> 清晰的逻辑推理语句，精确的定义，通常只能由写作实现。纸和笔（或文字处理器）是我们人脑的扩展。[@Humber2025]

## 3. 没有写作和有写作的人脑

### 3.1 下载人脑

1. 从https://bioicons.com/?query=brain通过点击复制“brain-1”。

2. 在Adobe Illustrator中新建A4文档。

3. 粘贴该brain到A4文档。

4. 通过画板工具调整空白区域。

5. 导出为png图片（150 ppi、消除锯齿：无、背景色：白色）。

<center>
![](images/brain.png){width="80%"}
</center>

### 3.2 无写作的人脑？（just for fun）

```{r}
#| message: false
library(tidyverse) # for ggplot2 and tibble packages
library(tidyplots) # for plotting
library(terra) # for putting brain image on the plot
library(grid) # for putting brain image on the plot
```

产生一个数据，用于重叠在人脑上。

```{r}
set.seed(2025) # Set seed for graph reproducibility
x <- sample(10:90, 26) # Randomly sample 26 integers between 1 and 100

set.seed(2024) # Set seed for graph reproducibility
y <- sample(25:70, 26) # Randomly sample 26 integers between 1 and 100

works <- tibble::as_tibble( # Convert to a tibble
    data.frame( # Create a data frame
        x = x,
        y = y
    )
)
```

读取人脑图片。

```{r}
brain <- terra::rast("images/brain.png") # read the image
brain <- terra::flip(brain, direction="vertical") # flip the image vertically
brain |> dim() # image dimension
brain <- as.array(brain)/255 # convert to array and normalize to [0, 1]; the original image is 8-bit RGB
brain <- grid::rasterGrob(brain) # convert to graphic object
```

把数据线绘制/重叠在人脑上。

```{r}
works |>
    tidyplot(x = x, y = y) |>
    add(ggplot2::annotation_custom(
        brain, xmin = 2, xmax = 100, ymin = 0, ymax = 100
    )) |> # add the brain
    add_data_points() |> # add the points
    add(ggplot2::geom_path()) |> # add the lines
    adjust_x_axis(limits = c(0, 100)) |>
    adjust_y_axis(limits = c(0, 100)) |>
    adjust_title("Brain without writing", fontsize = 12)
```

### 3.3 有写作的人脑？（just for fun）

```{r}
works |>
    tidyplot(x = x, y = y) |>
    add(ggplot2::annotation_custom(
        brain, xmin = 2, xmax = 100, ymin = 0, ymax = 100
    )) |> # add the brain
    add_data_points() |> # add the points
    add(ggplot2::geom_step()) |> # add the lines
    adjust_x_axis(limits = c(0, 100)) |>
    adjust_y_axis(limits = c(0, 100)) |>
    adjust_title("Brain with writing", fontsize = 12)
```

[给我买杯茶🍵](给我买杯茶.qmd)

## 4. References