Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration. by satoshi hashimoto(橋本 郷史) (18851272)

“…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”

Dynamic Thermal Perception: Analyzing Skin Temperature Patterns Under Cyclical Heat Conditions Using Python by Nidhi Veerendra (21663146)

“…The study utilized the Python programming language to model the data and fitted its cooling period to Newton's Law of Cooling to assess thermodynamic behavior across multiple body zones. …”

Hybrid simulator using animal organs. by Takashi Kimura (178058)

Text explanation how to use GUDE-NIPPO simulating growth direction regulation in heteromorph ammonites by Nanase Shinomiya (19691258)

The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

“…However, existing BCI frameworks face several limitations, including a lack of stage-wise flexibility essential for experimental research, steep learning curves for researchers without programming expertise, elevated costs due to reliance on proprietary software, and a lack of all-inclusive features leading to the use of multiple external tools affecting research outcomes. …”

The SESAME Human-Earth Atlas by Abdullah Al Faisal (18966979)

DynamiSpectra: A Python Software Package and Web Platform for Molecular Dynamics Data Analysis in Computational Biology by Iverson Conrado Bezerra (19555596)

“…In this study, we present DynamiSpectra, a Python-based software package and web platform designed to automate the descriptive statistical analysis (mean and standard deviation) and visualization of MD trajectories. …”

DynamiSpectra: A Python Software Package and Web Platform for Molecular Dynamics Data Analysis in Computational Biology by Iverson Conrado Bezerra (19555596)

“…In this study, we present DynamiSpectra, a Python-based software package and web platform designed to automate the descriptive statistical analysis (mean and standard deviation) and visualization of MD trajectories. …”

Data Bloom 2025: Visualize with Python by Sarah Siddiqui (16670961)

“…</p><p dir="ltr">Workshop Description: Want to use Python to visualize your dataset? In this workshop, we will use libraries such as Matplotlib, Seaborn, and more to create meaningful plots. …”

PyGMT – Accessing and Integrating GMT with Python and the Scientific Python Ecosystem (AGU24, U12B-05) by Yvonne Fröhlich (20442683)

“…</p><p dir="ltr">PyGMT (<a href="https://www.pygmt.org/" target="_blank">https://www.pygmt.org/</a>) wraps around the very fast GMT C code to make it accessible through the Python programming language. The introduction of meaningful aliases for the single-letter flags (e. g., "region" for "R" or "projection" for "J") and ongoing efforts regarding a more Pythonic syntax for GMT arguments significantly increase user-friendliness and readability of the code. …”

Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research by Temitope Omogbene (18615415)

Creation of a surgical simulator using 3D printer. by Takashi Kimura (178058)

Jittered scatter box – plot of the absolute radiation volume received by the small bowel at different dose levels. by Qiong Zhou (169101)

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Results of quality assessments for APs and MPs. by Qiong Zhou (169101)

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Jittered scatter box – plot of the percentage of radiation volume received by the pelvic marrow at different dose levels. by Qiong Zhou (169101)

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Dose distributions for MP. by Qiong Zhou (169101)

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Comparison of dosimetric parameters between AP(RayStation) and MP(Monaco). by Qiong Zhou (169101)

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Initial template. by Qiong Zhou (169101)

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Jittered scatter box – plot of the percentage of radiation volume received by the Left femoral head at different dose levels. by Qiong Zhou (169101)

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AP_dose_data. by Qiong Zhou (169101)

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