Category: Uncategorized

Source of paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5060022

Twitter source: https://x.com/emollick/status/1869411377108201914

#1 critical writing section most students struggle with: Discussion

Follow this template (𝘸𝘪𝘵𝘩 𝘦𝘹𝘢𝘮𝘱𝘭𝘦𝘴) to make your life easier

—  Start with a Big Summary/ Importance Statement:
“𝘖𝘶𝘳 𝘳𝘦𝘴𝘶𝘭𝘵𝘴 𝘥𝘦𝘮𝘰𝘯𝘴𝘵𝘳𝘢𝘵𝘦 𝘢 𝘯𝘰𝘷𝘦𝘭 𝘮𝘦𝘤𝘩𝘢𝘯𝘪𝘴𝘮 𝘣𝘺 𝘸𝘩𝘪𝘤𝘩 𝘟 𝘪𝘯𝘧𝘭𝘶𝘦𝘯𝘤𝘦𝘴 𝘠, 𝘰𝘧𝘧𝘦𝘳𝘪𝘯𝘨 𝘯𝘦𝘸 𝘪𝘯𝘴𝘪𝘨𝘩𝘵𝘴 𝘪𝘯𝘵𝘰 𝘡.”

—  Link Findings to Previous Work:
“𝘜𝘯𝘭𝘪𝘬𝘦 𝘱𝘳𝘦𝘷𝘪𝘰𝘶𝘴 𝘴𝘵𝘶𝘥𝘪𝘦𝘴 𝘵𝘩𝘢𝘵 𝘴𝘶𝘨𝘨𝘦𝘴𝘵𝘦𝘥 𝘈, 𝘰𝘶𝘳 𝘧𝘪𝘯𝘥𝘪𝘯𝘨𝘴 𝘪𝘯𝘥𝘪𝘤𝘢𝘵𝘦 𝘉, 𝘩𝘪𝘨𝘩𝘭𝘪𝘨𝘩𝘵𝘪𝘯𝘨 𝘵𝘩𝘦 𝘳𝘰𝘭𝘦 𝘰𝘧 𝘊.”

—   Discuss the Scientific Implications:
“𝘛𝘩𝘦𝘴𝘦 𝘧𝘪𝘯𝘥𝘪𝘯𝘨𝘴 𝘴𝘶𝘨𝘨𝘦𝘴𝘵 𝘵𝘩𝘢𝘵 𝘮𝘢𝘪𝘯𝘵𝘢𝘪𝘯𝘪𝘯𝘨 𝘋 𝘤𝘰𝘶𝘭𝘥 𝘣𝘦 𝘤𝘳𝘶𝘤𝘪𝘢𝘭 𝘧𝘰𝘳 𝘌, 𝘱𝘳𝘰𝘷𝘪𝘥𝘪𝘯𝘨 𝘢 𝘯𝘦𝘸 𝘱𝘦𝘳𝘴𝘱𝘦𝘤𝘵𝘪𝘷𝘦 𝘰𝘯 𝘍.”

Original paper: Faith et al, “Identifying Gut Microbe–Host Phenotype Relationships Using Combinatorial Communities in Gnotobiotic Mice”, https://www.science.org/doi/10.1126/scitranslmed.3008051

High performance self-hosted photo and video management solution: https://immich.app/ , https://github.com/immich-app/immich

FinGPT: Open-Source Financial Large Language Models https://github.com/AI4Finance-Foundation/FinGPT

Preparation steps:

• Install Ubuntu 20.04.6
• apt install -y docker.io
• git clone https://github.com/luajit-remake/luajit-remake.git
• cd luajit-remake

Execute install script:

python3 ljr-build make release

Result (error)

warning: Not a git repository. Use --no-index to compare two paths outside a working tree
usage: git diff --no-index [<options>] <path> <path>

Diff output format options
    -p, --patch           generate patch
    -s, --no-patch        suppress diff output
    -u                    generate patch
    -U, --unified[=<n>]   generate diffs with <n> lines context
    -W, --function-context
                          generate diffs with <n> lines context
    --raw                 generate the diff in raw format
    --patch-with-raw      synonym for '-p --raw'
    --patch-with-stat     synonym for '-p --stat'
    --numstat             machine friendly --stat
    --shortstat           output only the last line of --stat
    -X, --dirstat[=<param1,param2>...]
                          output the distribution of relative amount of changes for each sub-directory
    --cumulative          synonym for --dirstat=cumulative
    --dirstat-by-file[=<param1,param2>...]
                          synonym for --dirstat=files,param1,param2...
    --check               warn if changes introduce conflict markers or whitespace errors
    --summary             condensed summary such as creations, renames and mode changes
    --name-only           show only names of changed files
    --name-status         show only names and status of changed files
    --stat[=<width>[,<name-width>[,<count>]]]
                          generate diffstat
    --stat-width <width>  generate diffstat with a given width
    --stat-name-width <width>
                          generate diffstat with a given name width
    --stat-graph-width <width>
                          generate diffstat with a given graph width
    --stat-count <count>  generate diffstat with limited lines
    --compact-summary     generate compact summary in diffstat
    --binary              output a binary diff that can be applied
    --full-index          show full pre- and post-image object names on the "index" lines
    --color[=<when>]      show colored diff
    --ws-error-highlight <kind>
                          highlight whitespace errors in the 'context', 'old' or 'new' lines in the diff
    -z                    do not munge pathnames and use NULs as output field terminators in --raw or --numstat
    --abbrev[=<n>]        use <n> digits to display SHA-1s
    --src-prefix <prefix>
                          show the given source prefix instead of "a/"
    --dst-prefix <prefix>
                          show the given destination prefix instead of "b/"
    --line-prefix <prefix>
                          prepend an additional prefix to every line of output
    --no-prefix           do not show any source or destination prefix
    --inter-hunk-context <n>
                          show context between diff hunks up to the specified number of lines
    --output-indicator-new <char>
                          specify the character to indicate a new line instead of '+'
    --output-indicator-old <char>
                          specify the character to indicate an old line instead of '-'
    --output-indicator-context <char>
                          specify the character to indicate a context instead of ' '

Diff rename options
    -B, --break-rewrites[=<n>[/<m>]]
                          break complete rewrite changes into pairs of delete and create
    -M, --find-renames[=<n>]
                          detect renames
    -D, --irreversible-delete
                          omit the preimage for deletes
    -C, --find-copies[=<n>]
                          detect copies
    --find-copies-harder  use unmodified files as source to find copies
    --no-renames          disable rename detection
    --rename-empty        use empty blobs as rename source
    --follow              continue listing the history of a file beyond renames
    -l <n>                prevent rename/copy detection if the number of rename/copy targets exceeds given limit

Diff algorithm options
    --minimal             produce the smallest possible diff
    -w, --ignore-all-space
                          ignore whitespace when comparing lines
    -b, --ignore-space-change
                          ignore changes in amount of whitespace
    --ignore-space-at-eol
                          ignore changes in whitespace at EOL
    --ignore-cr-at-eol    ignore carrier-return at the end of line
    --ignore-blank-lines  ignore changes whose lines are all blank
    --indent-heuristic    heuristic to shift diff hunk boundaries for easy reading
    --patience            generate diff using the "patience diff" algorithm
    --histogram           generate diff using the "histogram diff" algorithm
    --diff-algorithm <algorithm>
                          choose a diff algorithm
    --anchored <text>     generate diff using the "anchored diff" algorithm
    --word-diff[=<mode>]  show word diff, using <mode> to delimit changed words
    --word-diff-regex <regex>
                          use <regex> to decide what a word is
    --color-words[=<regex>]
                          equivalent to --word-diff=color --word-diff-regex=<regex>
    --color-moved[=<mode>]
                          moved lines of code are colored differently
    --color-moved-ws <mode>
                          how white spaces are ignored in --color-moved

Other diff options
    --relative[=<prefix>]
                          when run from subdir, exclude changes outside and show relative paths
    -a, --text            treat all files as text
    -R                    swap two inputs, reverse the diff
    --exit-code           exit with 1 if there were differences, 0 otherwise
    --quiet               disable all output of the program
    --ext-diff            allow an external diff helper to be executed
    --textconv            run external text conversion filters when comparing binary files
    --ignore-submodules[=<when>]
                          ignore changes to submodules in the diff generation
    --submodule[=<format>]
                          specify how differences in submodules are shown
    --ita-invisible-in-index
                          hide 'git add -N' entries from the index
    --ita-visible-in-index
                          treat 'git add -N' entries as real in the index
    -S <string>           look for differences that change the number of occurrences of the specified string
    -G <regex>            look for differences that change the number of occurrences of the specified regex
    --pickaxe-all         show all changes in the changeset with -S or -G
    --pickaxe-regex       treat <string> in -S as extended POSIX regular expression
    -O <file>             control the order in which files appear in the output
    --find-object <object-id>
                          look for differences that change the number of occurrences of the specified object
    --diff-filter [(A|C|D|M|R|T|U|X|B)...[*]]
                          select files by diff type
    --output <file>       Output to a specific file

fatal: detected dubious ownership in repository at '/home/u/project'
To add an exception for this directory, call:

        git config --global --add safe.directory /home/u/project
gen_git_hash.sh: line 12: __generated__/release/generated/git_commit_hash.cpp.tmp: Permission denied
mv: cannot stat '__generated__/release/generated/git_commit_hash.cpp.tmp': No such file or directory

Link: https://github.com/makeplane/plane

Sumber: https://x.com/calebwatney/status/1855016577646666123

Complete paper: https://aidantr.github.io/files/AI_innovation.pdf

Source:

• Development of a framework to identify research gaps from systematic reviews https://pubmed.ncbi.nlm.nih.gov/21937195/
• A Framework for Rigorously Identifying Research Gaps in Qualitative Literature Reviews https://aisel.aisnet.org/icis2015/proceedings/ResearchMethods/2/
• A Taxonomy of Research Gaps: Identifying and Defining the Seven Research Gaps https://www.researchgate.net/publication/319244623_ARTICLE_Research_Methods_and_Strategies_Workshop_A_Taxonomy_of_Research_Gaps_Identifying_and_Defining_the_Seven_Research_Gaps

How to make graph like this in Python

I saw a nice graph from posting in https://x.com/junwatu/status/1851779704510124178/photo/1

Let’s ask Claude to imitate the graph.

I’ll help you create a similar line graph using Python, primarily using matplotlib with a modern, dark theme that matches the style of the image.

This code creates a graph similar to the one shown in your image. Here are the key features:

1. Uses a dark theme matching GitHub’s dark mode
2. Creates smooth lines with dots at data points
3. Places country labels at the end of each line
4. Uses custom colors for each country
5. Includes a grid for better readability
6. Removes chart borders for a modern look
7. Reverses the y-axis to show rank 1 at the top

import matplotlib.pyplot as plt
import numpy as np

# Sample data
countries = ['India', 'United States', 'China', 'Brazil', 'United Kingdom',
             'Indonesia', 'Japan', 'Germany', 'Russia', 'Canada']

# Create sample data for demonstration
# In reality, you would have your actual data here
years = np.array([2024, 2025, 2026, 2027, 2028])
data = np.array([
    [1, 1, 1, 2, 2],  # India
    [2, 2, 2, 1, 1],  # United States
    [3, 3, 3, 3, 3],  # China
    [4, 4, 4, 4, 4],  # Brazil
    [5, 5, 5, 5, 5],  # UK
    [8, 6, 6, 6, 6],  # Indonesia
    [7, 7, 7, 7, 7],  # Japan
    [9, 8, 8, 8, 8],  # Germany
    [6, 9, 9, 9, 9],  # Russia
    [10, 10, 10, 10, 10]  # Canada
])

# Set the style
plt.style.use('dark_background')
fig, ax = plt.subplots(figsize=(12, 8))

# Custom colors for each line
colors = ['#FF69B4', '#9370DB', '#87CEEB', '#90EE90', '#FFD700',
          '#FF6347', '#DDA0DD', '#BA55D3', '#ADD8E6', '#98FB98']

# Plot each line
for i, (country, color) in enumerate(zip(countries, colors)):
    ax.plot(years, data[i], color=color, linewidth=2, marker='o', markersize=8)
    # Add country name at the end of each line
    ax.text(years[-1] + 0.1, data[i, -1], country, color=color, 
            verticalalignment='center', fontsize=10)

# Customize the plot
ax.set_ylim(10.5, 0.5)  # Reverse y-axis and add some padding
ax.set_xlim(2024, 2028.5)  # Add space for labels on the right

# Set title
plt.title('Projecting the top 10 developers communities\non GitHub 2024-2028', 
          fontsize=16, pad=20)

# Customize grid
ax.grid(True, linestyle='--', alpha=0.2)

# Customize axes
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.spines['left'].set_visible(False)

# Set y-axis ticks
ax.set_yticks(range(1, 11))

# Remove x-axis ticks but keep labels
ax.tick_params(axis='x', length=0)

# Set background color
fig.patch.set_facecolor('#0D1117')
ax.set_facecolor('#0D1117')

# Adjust layout
plt.tight_layout()

# Show plot
plt.show()

To use this code, you’ll need to have matplotlib installed. You can install it using:

pip install matplotlib

You can modify the data array to match your actual data points. Each row represents a country’s ranking over the years.

The art of writing literature review: What do we know and what do we need to know?
https://www.sciencedirect.com/science/article/pii/S0969593120300585