<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> by Shubham Pawar (22471285)

“…</p><p dir="ltr"><b>Input:</b></p><ul><li><code>svi_module/svi_data/svi_info.csv</code> - Image metadata from Step 1</li><li><code>perception_module/trained_models/</code> - Pre-trained models</li></ul><p dir="ltr"><b>Command:</b></p><pre><pre>python -m perception_module.pred \<br> --model-weights .…”

Multi-Offset Synthetic GPR Data by Giacomo Roncoroni (16630053)

“…</li><li>- <code>data</code> Directory containing the synthetic GPR data files.…”

Data Sheet 1_ARGContextProfiler: extracting and scoring the genomic contexts of antibiotic resistance genes using assembly graphs.pdf by Nazifa Ahmed Moumi (7434359)

“…Several tools, databases, and algorithms are now available to facilitate the identification of ARGs in metagenomic sequencing data; however, direct annotation of short-read data provides limited contextual information. …”

Biomass data and prediction model of rice heading stage in Haitang district, Sanya City, Hainan Province. by Wanyi He (14164810)

“…"Model" folder: The MATLAB R2024a rice heading stage modeling code and prediction code are stored, providing practical research tools for researchers in related fields.…”

Table 1_An interpretable machine learning model for early prediction of Escherichia coli infection in ICU patients.docx by Shu Yang (381226)

“…E. coli infection was identified based on microbiological results and diagnostic codes. Missing data were imputed using the missForest algorithm. …”

<b>Road intersections Data with branch information extracted from OSM</b> & <b>C</b><b>odes to implement the extraction </b>&<b> I</b><b>nstructions on how to </b><b>reproduce each... by Zihao Tang (19794537)

“…</li></ul><h3>(4) Folder: <b>maxRadiusBuffer</b></h3><p dir="ltr">This folder focuses on the code of a greedy algorithm that produces the largest nonoverlapping buffers for a given collection of points.…”

Identification of ferroptosis-related LncRNAs as potential targets for improving immunotherapy in glioblastoma by Zhaochen Wang (12176245)

“…Differential gene expression analysis, univariate and multivariate Cox regression analyses and the least absolute shrinkage and selection operator (LASSO) regression algorithm were used to identify prognostic ferroptosis-related genes and establish a nomogram model of risk score. …”

CDK6 271123 6Plex TMT.csv by Kathryn Fleming (21585680)

“…Synchronous precursor selection was enabled to include up to 10 MS2 fragment ions in the FTMS3 scan.…”

Equivalent Mutants Analysed via Deductive Verification by Serge Demeyer (5133878)

“…</p><p dir="ltr">Most of the samples selected above lacked loops. We therefore added three search algorithms: BinarySearch, FindLast and FindMin.…”

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

“…</p><h2>3. VRE Siting Algorithm and Optimization</h2><p><br></p><p dir="ltr">The VRE siting model uses a cost-minimization optimization approach to select the most cost-efficient project sites to meet a projected energy mix target.…”

Overcoming limitations to customize DeepVariant for domesticated animals with TrioTrain by Robert Schnabel (236298)

“…However, the growing appeal of a “universal” algorithm has magnified the unknown impacts when used with non-human species. …”

Image 1_Identification of ferroptosis-related gene signatures in temporal lobe epilepsy with hippocampal sclerosis.tif by Fan Gao (130617)

“…We used weighed gene co-expression network analysis (WGCNA) algorithm, single-factor logistic regression analysis, and LASSO algorithm to screen characteristic FR-DEGs. …”

Supporting Data for “All-temperature barocaloric effects at pressure-induced phase transitions” by Zhao Xueting (21796316)

“…The structure search for the low-temperature phase was conducted using the generic evolutionary algorithm implemented in the USPEX code^42–44. …”

Table 1_Social media as a platform for resistance: examining the language of dissent in Indian society.docx by D. Y. Ashwini (22485511)

“…Despite its impact, research on algorithmic biases, multimodal communication tools (like memes and hashtags), and linguistic strategies in digital activism remains limited.…”

Supplementary file 1_Predicting first-time anaphylaxis in the elderly using stacked machine learning and population registers.docx by Toni Mora (8145624)

“…After applying chi-squared-based feature selection, we trained multiple classification algorithms—including logistic regression, decision trees, random forests, XGBoost, and a stacking ensemble. …”

Neurodevelopmental enrichment of H3K27me1 within gene bodies. by Aditya Parmar (22331873)

“…<b>(D)</b> Metagene heatmaps depicting H3K27me1 CUT&RUN data across protein-coding genes in the early versus late cerebellum. …”

Data Sheet 1_Forestry climate adaptation with HarvesterSeasons service—a gradient boosting model to forecast soil water index SWI from a comprehensive set of predictors in Destinat... by Mikko Strahlendorff (20458865)

“…The Copernicus Global Land Monitoring Service’s Soil Water Index (SWI) satellite-based observations from 2015 to 2023 at 10,000 locations in Europe were used as the predictand (target parameter) to train an artificial intelligence (AI) model to predict soil wetness with XGBoost (eXtreme Gradient Boosting) and LightGBM (Light Gradient Boosting Machine) implementations of gradient boosting algorithms. The locations were selected as a representative set of points from the Land Use/Cover Area Frame Survey (LUCAS) sites, which helped evaluate the characteristics of distinct locations used in fitting to represent diverse landscapes across Europe. …”

Figure 3 from Chromothripsis-Mediated Small Cell Lung Carcinoma by Natasha Rekhtman (15014156)

“…<b>B,</b> CN log ratio plots from the FACETS algorithm displaying the distinctive oscillating CN states on chromosomes with chromothripsis. …”

MCCN Case Study 2 - Spatial projection via modelled data by Donald Hobern (21435904)

“…</p><p dir="ltr">The dataset contains input files for the case study (source_data), RO-Crate metadata (ro-crate-metadata.json), results from the case study (results), and Jupyter Notebook (MCCN-CASE 2.ipynb)</p><h4><b>Research Activity Identifier (RAiD)</b></h4><p dir="ltr">RAiD: https://doi.org/10.26292/8679d473</p><h4><b>Case Studies</b></h4><p dir="ltr">This repository contains code and sample data for the following case studies. …”

Video 1_TDE-3: an improved prior for optical flow computation in spiking neural networks.mp4 by Matthew Yedutenko (5142461)

“…Proposed in the literature bioinspired neuromorphic Time-Difference Encoder (TDE-2) combines event-based sensors and processors with spiking neural networks to provide real-time and energy-efficient motion detection through extracting temporal correlations between two points in space. However, on the algorithmic level, this design leads to a loss of direction-selectivity of individual TDEs in textured environments. …”