Investigating the spatial architecture of the mouse kidney. by Huamei Li (8815955)

Spatial transcriptomics (ST) and single-cell atlases of multiple human tissues. by Huamei Li (8815955)

Performance assessment of Cell2Spatial in real ST data from various tissue types. by Huamei Li (8815955)

Evaluation of spatial transcriptomics (ST) tools across various metrics and conditions. by Huamei Li (8815955)

Cut points prediction. by Loïc Omnes (21181968)

Comparison of Student Engagement and Exam Success at Introductory Computer Programming Classes on Faculty of Electrical Engineering University of Ljubljana in Years 2023 and 2024 a... by Žiga Rojec (22175137)

“…Future research directions include exploring test-driven learning approaches and adapting assessment strategies to address emerging challenges posed by AI-generated code submissions.</p>…”

Contains the edge lists and vertex attributes for the nine networks used in this study as excel files. by Helal El-Zaatari (20442243)

DataSheet1_Average BER evaluation of the uplink OFDM-based NOMA system under SIC and channel estimation error.pdf by Akinbode A. Olawole (20137446)

Field photo diagnostic imaging by Hirokuni Miyamoto (16318251)

“…</p><p dir="ltr">Data_file_fish_new.xlsx: Whole raw data</p><p dir="ltr">utils.py (causion: same to original command name "utils.py" for "<code>machine_learning.py"</code>in the GitHub website "<a href="https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v1.0.6" target="_blank">program_tai1_Texture_main</a><a href="https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v2.0.1" target="_blank">(https://github.com/hmiyamoto2000/program_tai1_Texture_main/tree/v2.0.1</a>)": optional command for feature selection based on machine learning algorithms (The new command "utils.py" fix the random seed to control the randomness and reduce uncertainty in the training process to improve reproducibility and stability of the results.)…”

Kleptographic Attacks Against Implicit Rejection by Antoine Joux (17288464)

LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery by M RN (9866504)

Development and characterization of a cell-type-specific gene expression reference panel from single-nucleus RNA sequencing (snRNAseq). by Brian Gural (21781982)

DataSheet1_DGDRP: drug-specific gene selection for drug response prediction via re-ranking through propagating and learning biological network.PDF by Minwoo Pak (6842618)

“…The source code for DGDRP can be found at: https://github.com/minwoopak/heteronet.…”

LitiumLIC BscScan Verified Source (2025-11-13) by Investlitiumlic Oy (22614180)

Subgraph of the STRING reference, physical network showing the three InfoMap-based communities with highest average ENQUIRE-informed Q-scores. by Luca Musella (19986312)

“…After applying the InfoMap community detection algorithm with normalized Q-scores as probability weights, we selected the three communities with highest average score (colored areas) and pruned the original STRING network using the union of their corresponding protein-coding genes. …”

Text-to-SQL Verification Methods and Benchmark by Tarfah Alrashed (15442229)

“…<p dir="ltr">This repository contains the source code, evaluation results, and a new verification benchmark developed for our research on LLM-generated SQL verification.…”

<p dir="ltr">GPU Acceleration of Hybrid FETI Solver for Problems of Transient Nonlinear Dynamics - dataset</p> by Jakub Homola (20581412)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…</li></ol><p dir="ltr">The data was generated and analysed with the code available on GitHub at https://github.com/mbalazs98/deventprop/</p><p dir="ltr">results.py contains all test accuracies shown in figures 4-7. …”

Data Sheet 1_Selection of suitable reference lncRNAs for gene expression analysis in Osmanthus fragrans under abiotic stresses, hormone treatments, and metal ion treatments.docx by Yingting Zhang (4238380)

“…Despite its importance, research on long non-coding RNAs (lncRNAs) in O. fragrans has been constrained by the absence of reliable reference genes (RGs).…”

<b>Neural Symbolic Vault: Symbolic Species and</b> <b>DNA Co-Encoding Research Bundle v1.0 (A+M[S] Archive)</b> by Jeffrey Siergiej (20937434)

“…</p><p><br></p><p dir="ltr"><br></p><p dir="ltr">Categories / Fields of Research (FOR codes):</p><p dir="ltr"><br></p><ul><li>Medical molecular engineering of nucleic acids and proteins</li><li>Genetically modified animals</li><li>Immunogenetics (incl. genetic immunology)</li><li>Symbolic Systems</li><li>Neural Engineering</li><li>Biomedical engineering not elsewhere classified</li><li>Quantum engineering systems (incl. computing and communications)</li></ul><p dir="ltr"><br></p><p dir="ltr"><br></p><p dir="ltr">Keywords:</p><p dir="ltr">Neural Symbolic Vault, symbolic-gene mutation, DNA-symbol compression, AxiomQoreEngine, A+M[S], Symbolic Token Ledger, artificial species generation, quantum DNA encoding, CLU math, mutation history registry, field interaction tracking</p><p dir="ltr"><br></p><p dir="ltr">Funding Statement:</p><p dir="ltr">No public funding declared. …”