diff --git a/content/computer_sci/code_frame_learn/MOC.md b/content/computer_sci/code_frame_learn/MOC.md
index b578af58f..e56c085c6 100644
--- a/content/computer_sci/code_frame_learn/MOC.md
+++ b/content/computer_sci/code_frame_learn/MOC.md
@@ -16,4 +16,8 @@ date: 2023-12-03
 
 # Doc Framework
 
-* [Latex](computer_sci/code_frame_learn/doc/latex/MOC.md)
\ No newline at end of file
+* [Latex](computer_sci/code_frame_learn/doc/latex/MOC.md)
+
+# CV About Framework
+
+* [Pillow](computer_sci/code_frame_learn/cv/pillow/pillow_moc.md)
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diff --git a/content/computer_sci/code_frame_learn/cv/pillow/font_getsize.md b/content/computer_sci/code_frame_learn/cv/pillow/font_getsize.md
new file mode 100644
index 000000000..20a2f3fe8
--- /dev/null
+++ b/content/computer_sci/code_frame_learn/cv/pillow/font_getsize.md
@@ -0,0 +1,34 @@
+---
+title: font.getsize()
+tags:
+  - cv
+  - python
+  - PIL
+date: 2024-12-06
+---
+
+# Detail
+
+Exact size depends on many factors. I'll just show you how to calculate different metrics of font.
+
+[![](https://i.sstatic.net/gSBad.png)](https://i.sstatic.net/gSBad.png)
+
+```python
+font = ImageFont.truetype('arial.ttf', font_size)
+ascent, descent = font.getmetrics()
+(width, baseline), (offset_x, offset_y) = font.font.getsize(text)
+```
+
+- Height of red area: `offset_y`
+- Height of green area: `ascent - offset_y`
+- Height of blue area: `descent`
+- Black rectangle: `font.getmask(text).getbbox()`
+
+
+# Application Example
+
+
+
+# Reference
+
+* https://stackoverflow.com/questions/43060479/how-to-get-the-font-pixel-height-using-pils-imagefont-class
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diff --git a/content/computer_sci/code_frame_learn/cv/pillow/pillow_moc.md b/content/computer_sci/code_frame_learn/cv/pillow/pillow_moc.md
new file mode 100644
index 000000000..b277cc8d4
--- /dev/null
+++ b/content/computer_sci/code_frame_learn/cv/pillow/pillow_moc.md
@@ -0,0 +1,12 @@
+---
+title: Pillow - MOC
+tags:
+  - cv
+  - "#PIL"
+  - MOC
+  - python
+date: 2024-06-12
+---
+# Font
+
+* [font.getsize()](computer_sci/code_frame_learn/cv/pillow/font_getsize.md)
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diff --git a/content/computer_sci/code_frame_learn/data/streamlit/MOC.md b/content/computer_sci/code_frame_learn/data/streamlit/MOC.md
index 783a52d12..27963ba03 100644
--- a/content/computer_sci/code_frame_learn/data/streamlit/MOC.md
+++ b/content/computer_sci/code_frame_learn/data/streamlit/MOC.md
@@ -6,6 +6,11 @@ tags:
   - data-visual
 date: 2024-05-24
 ---
+
+# Example
+
+[My Streamlit Work List](computer_sci/code_frame_learn/data/streamlit/mywork_list.md)
+
 # Reference
 
 * https://streamlit.io/
diff --git a/content/computer_sci/code_frame_learn/data/streamlit/mywork_list.md b/content/computer_sci/code_frame_learn/data/streamlit/mywork_list.md
new file mode 100644
index 000000000..6a360ba78
--- /dev/null
+++ b/content/computer_sci/code_frame_learn/data/streamlit/mywork_list.md
@@ -0,0 +1,13 @@
+---
+title: My Streamlit Work List
+tags:
+  - advanced
+  - work
+  - list
+date: 2024-06-14
+---
+# My Streamlit Work List
+
+
+* [https://final-score-true-sight.streamlit.app/](https://final-score-true-sight.streamlit.app/)
+* [https://univariate-distribution.streamlit.app/](https://univariate-distribution.streamlit.app/)
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diff --git a/content/computer_sci/deep_learning_and_machine_learning/LLM/LLM_MOC.md b/content/computer_sci/deep_learning_and_machine_learning/LLM/LLM_MOC.md
index 109639be1..c8052d626 100644
--- a/content/computer_sci/deep_learning_and_machine_learning/LLM/LLM_MOC.md
+++ b/content/computer_sci/deep_learning_and_machine_learning/LLM/LLM_MOC.md
@@ -24,3 +24,8 @@ How to evaluate a LLM performance?
 # Basic
 
 * [LLM Hyperparameter](computer_sci/deep_learning_and_machine_learning/LLM/basic/llm_hyperparameter.md)
+
+
+# Related Technologies
+
+
diff --git a/content/computer_sci/deep_learning_and_machine_learning/LLM/rag/basic.md b/content/computer_sci/deep_learning_and_machine_learning/LLM/rag/basic.md
new file mode 100644
index 000000000..74eb82b00
--- /dev/null
+++ b/content/computer_sci/deep_learning_and_machine_learning/LLM/rag/basic.md
@@ -0,0 +1,9 @@
+---
+title: What's RAG?
+tags:
+  - LLM
+date: 2024-06-12
+---
+# Reference
+
+* https://arxiv.org/abs/2312.10997
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diff --git a/content/math/Statistics/basic_concepot/distribution/students_t_distribution.md b/content/math/Statistics/basic_concepot/distribution/students_t_distribution.md
new file mode 100644
index 000000000..8de5d95d4
--- /dev/null
+++ b/content/math/Statistics/basic_concepot/distribution/students_t_distribution.md
@@ -0,0 +1,23 @@
+---
+title: Student's t-Distribution
+tags:
+  - basic
+  - math
+  - distribution
+  - statistics
+date: 2024-06-05
+---
+# Background
+
+
+为什么这个分布被叫做Student's t-Distribution，是因为作者William Gosset在1908年以化名名义‘Student’发布。
+
+t-Distribution在概率论及统计学中用于根据小样本量来估计总体呈现正态分布切标准差未知的期望。
+
+从样子上讲，Student’s T Distribution的样子很像Normal Distribution，但有着一个fat tails。
+
+
+
+# Reference
+
+* https://www.youtube.com/watch?v=32CuxWdOlow
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diff --git a/content/research_career/bladder_phantom.md b/content/research_career/bladder_phantom.md
new file mode 100644
index 000000000..549da53b3
--- /dev/null
+++ b/content/research_career/bladder_phantom.md
@@ -0,0 +1,5 @@
+---
+title: Bladder Phantom
+tags:
+  - phantom
+---
diff --git a/content/signal/signal_processing/basic_knowledge/FT/fourier_transform.md b/content/signal/signal_processing/basic_knowledge/FT/fourier_transform.md
index 03b5cbc4b..2098892d0 100644
--- a/content/signal/signal_processing/basic_knowledge/FT/fourier_transform.md
+++ b/content/signal/signal_processing/basic_knowledge/FT/fourier_transform.md
@@ -235,4 +235,5 @@ The unilateral or one-sided z-transform is very useful because we mostly deal wi
 * [傅里叶系列（一）傅里叶级数的推导](https://zhuanlan.zhihu.com/p/41455378)
 * [The Discrete Fourier Transform (DFT)](https://www.youtube.com/watch?v=nl9TZanwbBk)
 * [The Fast Fourier Transform (FFT): Most Ingenious Algorithm Ever?](https://www.youtube.com/watch?v=h7apO7q16V0)
-* [Euler’s formula](https://www.notion.so/Euler-s-formula-d8e4462d5cda4e09a4ca4fcda7cd1392?pvs=21)
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+* [Euler’s formula](https://www.notion.so/Euler-s-formula-d8e4462d5cda4e09a4ca4fcda7cd1392?pvs=21)
+* https://www.andreinc.net/2024/04/24/from-the-circle-to-epicycles
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