Table 2_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …"

Table 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …"

Data Sheet 1_Novel deep learning-based prediction of HER2 expression in breast cancer using multimodal MRI, nomogram, and decision curve analysis.docx حسب Shi Qiu (425335)

"…Patients underwent 3T MRI scans with T1, T2, and contrast-enhanced (DCE) sequences. Imaging data from four medical centers were standardized through preprocessing steps, including intensity normalization, registration, and motion correction. …"

Data and some code used in the paper:<b>Expansion quantization network: A micro-emotion detection and annotation framework</b> حسب Zhou (20184816)

"…The labeling of emotion datasets has changed from discrete to continuous. It plays an important role in the subtle research of emotions in fields such as emotional computing, human-computer alignment, humanoid robots, and psychology.…"

Mapping Policy Coherence in National UK Food Systems (2008– 2024): Analysing the Integration of Climate Change Mitigation and Adaptation Strategies, LEAP 2025 conference, Oxford حسب Ronja Teschner (20974180)

"…</p><p dir="ltr">This study aims to:</p><p dir="ltr">1) Identify and map UK national food policies regarding climate change mitigation and adaption strategies from 2008 - 2024.</p><p dir="ltr">2) Highlight departments responsible for publication, thematic areas addressed in the policies, policy objectives and implementation strategies.…"

Advancing Solar Magnetic Field Modeling حسب Carlos António (21257432)

"…<br><br>We developed a significantly faster Python code built upon a functional optimization framework previously proposed and implemented by our team. …"

CNG-ARCO-RADAR.pdf حسب Alfonso Ladino (21447002)

"…This approach uses a suite of Python libraries, including Xarray (Xarray-Datatree), Xradar, and Zarr, to implement a hierarchical tree-like data model. …"

“Genie Replication Package: Resolution of Kryptos K4 via Berlin Clock Route and Substitution Funnel” حسب Alan Glanz (22109698)

"…</li></ul></li></ol><h3>Contributions</h3><ul><li>Provides a <b>self-contained Python package</b> enabling independent replication and stress-testing of the solution.…"

Comprehensive Fluid and Gravitational Dynamics Script for General Symbolic Navier-Stokes Calculations and Validation حسب Stylianos Touloumidis (19938747)

"…It provides a flexible foundation on which theoretical assumptions can be validated, and practical calculations performed. Implemented in Python with symbolic calculations, the script facilitates in-depth analysis of complex flow patterns and makes advanced mathematical computations more accessible. …"

kececilayout حسب Mehmet Keçeci (14301782)

"…<p dir="ltr"><b>Kececi Layout (Keçeci Yerleşimi)</b>: A deterministic graph layout algorithm designed for visualizing linear or sequential structures with a characteristic "zig-zag" or "serpentine" pattern.</p><p dir="ltr"><i>Python implementation of the Keçeci layout algorithm for graph visualization.…"

IGD-cyberbullying-detection-AI حسب Bryan James (19921044)

"…Models like Logistic Regression, Random Forest, Ensemble Models, CNNs, and LSTMs are implemented to detect patterns from behavioral data.…"

Code حسب Baoqiang Chen (21099509)

"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"

Core data حسب Baoqiang Chen (21099509)

"…</p><p><br></p><p dir="ltr">For the 5′ UTR library, we developed a Python script to extract sequences and Unique Molecular Identifiers (UMIs) from the FASTQ files. …"

Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 حسب Andrew Rogers (17623239)

"…</p><h2>Software and Spatial Resolution</h2><p dir="ltr">The VRE siting model is implemented using Python and relies heavily on ArcGIS for comprehensive spatial data handling and analysis.…"

Mean Annual Habitat Quality and Its Driving Variables in China (1990–2018) حسب ChenXi Zhu (21374876)

"…</p><p dir="ltr">(HQ: Habitat Quality; CZ: Climate Zone; FFI: Forest Fragmentation Index; GPP: Gross Primary Productivity; Light: Nighttime Lights; PRE: Mean Annual Precipitation Sum; ASP: Aspect; RAD: Solar Radiation; SLOPE: Slope; TEMP: Mean Annual Temperature; SM: Soil Moisture)</p><p dir="ltr"><br>A Python script used for modeling habitat quality, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), and implementation of four machine learning models to predict habitat quality.…"

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

"…</b><code><strong>GenosophusV2.py</strong></code></h3><p dir="ltr">Executable Python implementation of the Genosophus Engine.</p><h3><b>2. …"

Landscape Change Monitoring System (LCMS) Conterminous United States Cause of Change (Image Service) حسب U.S. Forest Service (17476914)

"…Scikit-learn: Machine Learning in Python. In Journal of Machine Learning Research (Vol. 12, pp. 2825-2830).Pengra, B. …"