Collaborative Research: Framework: Improving the Understanding and Representation of Atmospheric Gravity Waves using High-Resolution Observations and Machine Learning by Joan Alexander (17047170)

“…Establishing a framework for implementing and testing ML-based parameterizations in atmospheric models. Focusing first on idealized atmospheric modeling systems, we will tackle challenges associated with coupling interactively an ML-based data-driven scheme and a climate model (e.g., numerical instabilities, linking Python and Fortran). …”

<b>Diminished signal-to-noise ratio disrupts somatosensory population encoding and drives tactile hyposensitivity in the </b><b><i>Fmr1</i></b>^{<strong>-/y</strong>}<b> au... by Ourania Semelidou (19178362)

SPIDER - Synthetic Person Information Dataset for Entity Resolution by Praveen Chinnappa (20835779)

Dipankar_iCAS24.pptx by Anurag Dipankar (19701118)

MCCN Case Study 1 - Evaluate impact from environmental events/pressures by Donald Hobern (21435904)

Probabilistic-QSR-GeoQA by Mohammad Kazemi (19442467)

“…<p dir="ltr">The code and data are related to the paper Mohammad Kazemi Beydokhti, Matt Duckham, Amy L. …”

Code used to run simulations and generate figures. by Guillaume Mestdagh (22656397)

Linking Thermal Conductivity to Equations of State Using the Residual Entropy Scaling Theory by Zhuo Li (165589)

“…<b>2021</b>, <i>60</i>, 13052) in modeling the thermal conductivity of refrigerants, we present here an RES model that extends Yang et al.’s approach to a wider range of pure fluids and their mixtures. …”

Western Oregon Wet Dry (WOWTDR) annual predictions of late summer streamflow status for western Oregon, 2019-2021 by Jonathan D. Burnett (19659601)

“…This data publication includes all of the input and output files for producing these predictions with the WOWTDR model. The model output presented here is the mean of WOWTDR predictions for the 2019-2021 calendar years for the purpose of providing a single prediction of wet or dry for each stream reach. …”

A Quick Guide to Prompt Engineering: Using Generative AI Wisely in Learning and Work by Uce Indahyanti (21324434)

Data Sheet 1_Establishing a real-time biomarker-to-LLM interface: a modular pipeline for HRV signal acquisition, processing, and physiological state interpretation via generative A... by Morris Gellisch (18627744)

“…Introduction<p>Large language models are capable of summarizing research, supporting clinical reasoning, and engaging in coherent conversations. …”

Leue Modulation Coefficients (LMC): A Smooth Continuum Embedding of Bounded Arithmetic Data by Jeanette Leue (22470409)

“…This Zenodo package includes: the full research paper (PDF), a complete Python implementation generating the LMC field and conductivity model, a numerical plot comparing discrete LMC values with the smoothed continuum field, a cover letter and supporting documentation. …”

GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios by Yang Lan (20927512)

“…Notably, “historical” refers to distribution probabilities modeled using 1970–2000 data, serving as the baseline. …”

Cost analysis of casting techniques. by Víctor Hugo Gonzalo Quispe Mamani (21213092)

“…In conclusion, the study demonstrates that EAC produces dental models with significantly higher compressive strength and a more refined microstructure compared to TC, enhancing restoration durability. …”

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

Overview of generalized weighted averages. by Nobuhito Manome (8882084)

“…GWA-UCB1 outperformed G-UCB1, UCB1-Tuned, and Thompson sampling in most problem settings and can be useful in many situations. The code is available at <a href="https://github.com/manome/python-mab" target="_blank">https://github.com/manome/python-mab</a>.…”

<b>Alpha B crystallin (CRYAB) Degradome Foundation Atlas</b> by Axel Petzold (7076261)

“…<p dir="ltr">This open-access dataset presents Version 1 of the <b>alpha B </b><b>Crystallin (CRYAB) Degradome Foundation Atlas</b>, a curated <b>proteolytic peptide resource</b> designed to advance translational research in protein aggregation myopathies and cardiomyopathies.…”

Supervised Classification of Burned Areas Using Spectral Reflectance and Machine Learning by Baptista Boanha (22424668)

“…<p dir="ltr">This dataset and code package presents a modular framework for supervised classification of burned and unburned land surfaces using satellite-derived spectral reflectance. …”

Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789 by Jordan Waters (21620558)

“…<br><br><br><b>ORCID ID: https://orcid.org/0009-0009-0793-8089</b><br></p><p dir="ltr"><b>Code Availability:</b></p><p dir="ltr"><b>All Python tools used for GoP simulations and predictions are available at:</b></p><p dir="ltr"><b>https://github.com/Jwaters290/GoP-Probabilistic-Curvature</b><br><br>The Gravity of Probability framework is implemented in this public Python codebase that reproduces all published GoP predictions from preexisting DESI data, using a single fixed set of global parameters. …”

Keyhole Imagery Global Coverage Dataset (1960–1984) by Hao Li (20223762)

“…</li><li><b>Code</b>: Python scripts implementing the three-step workflow (imagery classification, global grid generation, and point-based property calculation).…”