Code for the HIVE Appendicitis prediction modelRepository with LLM_data_extractor_optuna for automated feature extraction حسب Anoeska Schipper (18513465)

"…<p dir="ltr">This repository contains the code and trained model for developing the HIVE (History, Intake, Vitals, Examination) machine learning model for predicting appendicitis in patients presenting with acute abdominal pain at the Emergency Department (ED).…"

Code and data for reproducing the results in the original paper of DML-Geo حسب Pengfei CHEN (8059976)

"…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…"

Mechanomics Code - JVT حسب Carlo Vittorio Cannistraci (5854046)

"…</p><p dir="ltr"><b>What is containing this repository</b></p><p dir="ltr">Data, MATLAB, R and Python code files in respective dedicated folders, specifically:</p><ul><li>Data: the 9 datasets that you need to run either of the MATLAB, R or Python scripts.…"

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

"…</li></ul><p dir="ltr">Importantly, the <b>file names of each dataset</b> presented here were <b>renamed from their original Google Drive file paths</b> (referenced in the Python Google Colab scripts) to ensure <b>sequential, descriptive, and logically ordered naming</b>. …"

Presentations of the Summer School - Satellite-Based Hydrological Data Assimilation حسب Maike Schumacher (8023076)

"…appeared very motivated In the first day, we learned about global hydrological modelling described by <a href="https://www.linkedin.com/in/henrik-madsen-a1841936/" target="_blank">Henrik Madsen</a> (DHI); a great introduction of satellite gravity and its application in hydrology and climate science was given by <a href="https://www.linkedin.com/in/guillaume-ramillien-3292b42a/" target="_blank">Guillaume Ramillien</a> Centre National de la Recherche Scientifique, CNRS); our third guest lecturer <a href="https://www.linkedin.com/in/anke-fluhrer-77b6862a3/" target="_blank">Anke Fluhrer</a> (German Aerospace Center, DLR) presented soil moisture remote sensing and excellent tools to retrieve the data for hydrological applications; <a href="https://www.linkedin.com/in/maike-schumacher-814307122/" target="_blank">Maike Schumacher</a> (Aalborg University, AAU) gave a presentation about physical data assimilation through the introduction of a simple hydrological model and connected it to distributed hydrological models. …"

Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations حسب Sascha Mausenberger (22225772)

"…We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. …"

Comparative analysis of WordNet replacement impact on data distribution. حسب Enock Niyonkuru (21246879)

Engineering Various Components of a Magneto-Optical Trap and Simulation of Ultracold Atoms in a Harmonic Potential for the Formation of Bose-Einstein Condensate حسب Rahul Das (22607879)

"…Key experimental components include a magnetic-field compensator, and RF antenna integrated with a Python-based GUI control system. Complementary simulations model atom dynamics in a harmonic potential and cloud evolution under quenches, outlining pathways toward achieving a Bose–Einstein condensate. …"

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

"…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…"

The codes and data for "A Graph Convolutional Neural Network-based Method for Predicting Computational Intensity of Geocomputation" حسب FirstName LastName (20554465)

"…</li><li>The <b>CIPrediction</b> folder contains model training code.</li><li>The <b>ParallelComputation</b> folder contains geographic computation code.…"

Scope of our collection of pathogen models of metabolism. حسب Emma M. Glass (13102872)

"…The average MEMOTE score across models is 84% (d–f) Boxplots representing the spread of genes, reactions, and metabolites in each model, classified by phylum. …"

Catalogue of compact radio sources in Messier-82 from e-MERLIN observations حسب Sibongumusa Shungube (21197363)

"…Source finding was initially performed using Python Blob Detection and Source Finder (PyBDSF).</p><p dir="ltr">The dataset includes two tables detailing the properties of these 36 sources:</p><p dir="ltr"><b>Table 3.1: CASA </b><code><strong>imfit</strong></code><b> Source Catalogue</b></p><p dir="ltr">This table contains source parameters derived using the CASA task <code>imfit</code>. …"

py-rocket: A Docker image to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing in the earth sciences حسب Eli Holmes (20363193)

"…</p><p><br></p><p dir="ltr">A sturdy Docker stack relies on a solid base image. Here we present work on the py-rocket base image and illustrate how this enhances collaboration while providing familiar IDEs and environments to both R and Python users. …"

Integrating Scientific GUI Applications into Autoscaled Science Gateway Environments حسب Julien Chastang (640650)

Workflow of a typical Epydemix run. حسب Nicolò Gozzi (8837522)

"…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …"

A free tutorial book from NSF Cybertraining C2D: Cybertraining for Chemical Data scientists حسب Xiangliang Zhang (19460047)

"…In Chapter 2, we guide chemists through setting up a Python environment tailored for data science applications in chemistry. …"

Designing an online Introduction to Programming w/GenAI (EDUC90970_2025_S2) حسب Jean Lee (20590241)

Processing parameters. حسب Hosamane Guruswamy Prashantha Kumar (21433265)

"…An improvement of 33% occurred in the sliding performance after LSP treatment because the COF reduced from 0.30 to 0.20. The constructed Python-based digital twin model employed multi-variable regression analysis for 30 experimental trials yielding an R² value of 0.91 and an RMSE value of 0.026 mm³/N·m. …"

Flowchart describing the AI-LES program. حسب Evan Mitchell (20995743)

"…Tools exist to automate the retrieval of relevant journal articles, but pulling data out of those articles is currently still a manual process. In this article, we present a proof-of-concept Python program that leverages artificial intelligence (AI) tools (specifically, ChatGPT) to parse a batch of journal articles and extract relevant results, greatly reducing the human time investment in this action without compromising on accuracy. …"

Topological and functional comparison of the NeKo networks created for the medulloblastoma subgroups using the HURI databases. حسب Marco Ruscone (11747264)