Expanding Access to Advanced Scientific Workflows: The NSF Unidata Science Gateway Leverages Innovative Capabilities of the NSF Jetstream2 Cloud for Atmospheric Science Education by Julien Chastang (640650)

“…</p><p><br></p><p dir="ltr">This presentation will highlight two case studies that demonstrate the practical applications of our advanced computational tools. …”

Workflow of a typical Epydemix run. by 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 by 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) by Jean Lee (20590241)

Processing parameters. by 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. …”

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

Modeling organoid deformation. by Julien Laussu (3554030)

“…B: Schema presenting the three different types of controlled loads tested in the FEM model. …”

Comparison of previous predictive models. by Saeid Rasouli (20370998)

“…<div><p>Background</p><p>Optic neuritis (ON) can be an initial clinical presentation of multiple sclerosis This study aims to provide a practical predictive model for identifying at-risk ON patients in developing MS.…”

How neuromodulators control the excitability of neurons. by Domenico Guarino (20428000)

Pyramidal neuron spiking behaviour is either switched or scaled. by Domenico Guarino (20428000)

Dentate granule cells have polarised responses to neuromodulators switch spiking behaviour under neuromodulation. by Domenico Guarino (20428000)

<b>AutoMated tool for Antimicrobial resistance Surveillance System version 3.1 (AMASS3.1)</b> by Chalida Rangsiwutisak (10501496)

“…;</li><li><i>Enterococcus</i> <i>faecalis</i> and <i>E. faecium</i> have been explicitly included in the pathogens under the survey (while <i>Enterococcus</i> spp. are used in the AMASS version 2.0);</li><li>We have added a few antibiotics in the list of antibiotics for a few pathogens under the survey;</li></ol><p dir="ltr">Technical aspects</p><ol><li>We have added a configuration for “Annex C: Cluster signals” in Configuration.xlsx;</li><li>We have improved the algorithm to support more several date formats;</li><li>We have improved the algorithm to translate data files;</li><li>We have improved Data_verification_logfile report to present local languages of the variable names and values (according to how they were recorded in the data files) in the report;</li><li>We have improved Annex B: Data indicators to support a larger data set;</li><li>We have used only Python rather than R + Python (as used in the AMASSv2.0);</li><li>We have set a default config for infection origin stratification by allowing a specimen collected two calendar days before the hospital admission date and one day after the hospital discharge date into consideration. …”

Predicting coding regions on unassembled reads, how hard can it be? - Genome Informatics 2024 by Amanda Clare (98717)

“…Predictions are made on the set of reads, using several prediction tools. The locations and directions of the predictions on the reads are then combined with the information about locations and directions of the reads on the genome using Python code to produce detailed results regarding the correct, incorrect and alternative starts and stops with respect to the genome-level annotation.…”

Anisotropic Skyrmion and Multi-<i>q </i>Spin Dynamics in Centrosymmetric Gd₂PdSi₃: Data and Code by Matjaž Gomilšek (14278739)

“…Python script file<br>*.dat, [no extension] ... ASCII data file. …”

Code and data for evaluating oil spill amount from text-form incident information by Yiming Liu (18823387)

“…The code is written in Python and operated using Jupyter Lab and Anaconda. …”

Evaluation and Statistical Analysis Code for "Multi-Task Learning for Joint Fisheye Compression and Perception for Autonomous Driving" by Basem Ahmed (18127861)

“…</p><p dir="ltr">The code includes:</p><ul><li><a target="_blank"><code>evaluate_mtl.py</code></a>: The main script for evaluating the performance of the proposed deep learning models (JointGAD) and traditional codecs (HEVC, JPEG2000) on the Woodscape and Fisheye8k datasets. …”

Workflow of T cell activation analysis. by Yitong Ma (8144697)

Successful trajectories of: A and C, northward trips with 10^o and 25^o navigational error respectively; B and D, same as A and C for southward trips. by Boel Bengtsson (13493587)

Quetzal: Comprehensive Peptide Fragmentation Annotation and Visualization by Eric W. Deutsch (13887)

“…We describe how Quetzal annotates spectra using the new Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) mzPAF standard for fragment ion peak annotation, including the Python-based code, a web-service end point that provides annotation services, and a web-based application for annotating spectra and producing publication-quality figures. …”

Quetzal: Comprehensive Peptide Fragmentation Annotation and Visualization by Eric W. Deutsch (13887)

“…We describe how Quetzal annotates spectra using the new Human Proteome Organization (HUPO) Proteomics Standards Initiative (PSI) mzPAF standard for fragment ion peak annotation, including the Python-based code, a web-service end point that provides annotation services, and a web-based application for annotating spectra and producing publication-quality figures. …”