Construction of a comprehensive organ surface dataset in Blender. by Takashi Kimura (178058)

Generation of MPR images in JPEG format from DICOM data. by Takashi Kimura (178058)

List of Abbreviations 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. …”

Artifact for the ATVA 2025 paper "PolyQEnt: A Polynomial Quantified Entailment Solver" by Krishnendu Chatterjee (15367413)

Raw datasets acquired to investigate the possible roles of CAHS proteins from tardigrade in osmotic stress tolerance in mammalian cells and their analysis program by Takahiro Bino (8898745)

“…</p> <p><br></p> <p>In order to utilize the Python program code, it is necessary to refer to the file whose name corresponds to the respective filename.…”

Not All local LLMs Are Equal: A Benchmark of Energy and Performance by Simão Cunha (19712455)

“…However, installing these specific versions is not mandatory:<br><br>```bash<br>bash scripts/install_prerequisites.sh<br>```<br><br>#### Dependencies<br><br>1. Install all Python libraries listed in `requirements.txt` using a virtual environment (e.g., named `env`):<br><br>```bash<br># Create a virtual environment named 'env'<br>python3 -m venv env<br><br># Activate the virtual environment<br>source env/bin/activate<br><br># Install the required Python libraries<br>pip3 install -r requirements.txt<br>```<br><br>For `llama-cpp-python` installation with CPU support (used in this paper), execute:<br><br>```bash<br>CMAKE_ARGS="-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" pip3 install llama-cpp-python<br>```<br><br>For other hardware acceleration backends, refer to the [llama-cpp-python documentation](<u>https://github.com/abetlen/llama-cpp-python?…”

The artifacts and data for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering" (OOPSLA 2025) by zixuan yuan (17602152)

“…</p><h3><b>Steps:</b></h3><h4><b>1) Navigate to the working directory:</b><br><code>cd $ROOT_DIR/test/simple_test</code></h4><p><br></p><p dir="ltr"><b>2) Build the program using the provided scripts:</b><br><code>.…”

Poster: Evaluating outcomes of embedding coding activities in an advanced (astro)physics module by Judith Croston (20780552)

“…The activities aim to make abstract ideas concrete, provide authentic experiences of advanced physics and astronomy tasks, and to further develop valuable employability skills in coding and Python.</p><p dir="ltr">This project will explore student experience with the S385 activities and will examine the relationship between Python engagement, use of supporting resources, performance on Python assessment tasks, and overall module performance, so as to assess whether the aims of the embedded Python activities have been achieved.…”

Replication package for Automated Extract Method Refactoring with Open-Source LLMs by Sivajeet Chand (21786839)

Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis by Alan Glanz (22109698)

High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch by Andrey Samokhin (20282728)

“…High-level programming languages such as Python and R are widely used in mass spectrometry data processing, where library searching is a standard step. …”

Regions of the LV and septum perform negative work in LBBB and CRT for responders and non-responders. by Amanda Craine (19832365)

Investigating the far-right online: Using text data to understand online subcultures by L Brace (18374691)

“…While these analytical techniques are new, they are actually fairly easy for social researchers to implement due to the nature of contemporary high-level programming languages such as Python.…”

Mushroom Classification Using Support Vector Machines (SVM) Focusing on Cap Features. by Gabriel Minato (22462099)

“…The predictor variables were</p><p dir="ltr">20 pre-processed features of the mushroom cap, and the target variable was the mushroom's class</p><p dir="ltr">(edible 'e' or poisonous 'p'). The tools used were the Python programming language and its</p><p dir="ltr">libraries, primarily Scikit-learn to build and optimize the SVM classifier. …”

An Ecological Benchmark of Photo Editing Software: A Comparative Analysis of Local vs. Cloud Workflows by Pierre-Alexis DELAROCHE (22092572)

Deciphering pseudouridylation profiles and their biogenesis from deep sequencing data using psiFinder by zhirong chen (20863529)

Animal bite risk map for Mymensingh district in 2022 and 2023. by Chandra Shaker Chouhan (17262842)

Data Sheet 1_The development and use of data warehousing in clinical settings: a scoping review.pdf by Shiyang Lyu (20910008)

“…We searched four databases (PubMed, CINAHL, Scopus and IEEE-Xplore), identifying peer-reviewed, English-language studies from 1st January 2014 to 1st January 2024, that focus on data warehousing in healthcare, covering either general or specialised data warehouse applications. Python programming was used to extract the search results and transform the data into a tabular format for analysis.…”

Affinity Molecular Assay for Detecting Candida albicans Using Chitin Affinity and RPA-CRISPR/Cas12a by Deqiang Wang (19817560)

“…Raw reads were obtained from Tsingke Biotechnology (Beijing, China) and analyzed using Python scripts (Python 3.11.8), filtering reads with an average Phred quality (Q score) of at least 25. …”

<b>MSLU-100K: A multi-source land use dataset of Chinese major cities</b> by Yao Yao (7903457)

“…<p dir="ltr">The project includes the code of a deep learning model related to the paper "MSLU-100K: A Multi-Source Land Use Dataset for Major Cities in China". This paper presents a model for classifying irregular land parcels by land use. …”