data science

Region-level 5mC/5hmC methylation and 8-oxo-dG profiles from nanopore sequencing of palmitate-treated human adipose-derived mesenchymal stem cells

Processed, region-level data supporting the article "Lipotoxic Palmitate Hyperpolarizes Mitochondria, Raises 8-oxo-dG Damage in Depleted mtDNA, and Converts Nuclear 5mC to 5hmC Genome-Wide in Human Adipose-Derived Mesenchymal Stem Cells" (International Journal of Molecular Sciences, submitted 2026). Human adipose-deriv...

Sovereign Audiovisual Dataset of Traditional Chinese Medicine Diagnostics and Calligraphic Neurology: U Broadcast on Somatomotor and Psychosomatic Calendar Matrix (2026-10-02)

[English Description] Upgraded Sovereign Audiovisual Asset Dataset by Dr. Francis C. Yu (DOI-linked). This permanently registered open-science dataset archives an official television news broadcast issued by U視頻電視. The core research paradigm cross-links this sovereign media asset with traditional Chinese medicine (...

URSlab Website and Information System for Reporting the Publication Activity of a Scientific Department of BAS: Source Code

Version 1.1.0 of the source code of the website of the Unmanned Robotic Systems Laboratory (URSlab), Institute of Robotics, Bulgarian Academy of Sciences (https://urs.ir.bas.bg). This version extends the website into an information system for recording, validating and reporting the publication activity of a scientific...

URSlab Website and Information System for Reporting the Publication Activity of a Scientific Department of BAS: Source Code

Version 1.1.0 of the source code of the website of the Unmanned Robotic Systems Laboratory (URSlab), Institute of Robotics, Bulgarian Academy of Sciences (https://urs.ir.bas.bg). This version extends the website into an information system for recording, validating and reporting the publication activity of a scientific...

Cultivating Resilience: Urban Agriculture and Vertical Farming for Food, Health, and Environment – A Systematic Review

This dataset supports the systematic review article "Cultivating Resilience: Urban Agriculture and Vertical Farming for Food, Health, and Environment – A Systematic Review", which synthesises evidence from thirty-eight (38) studies examining how the integration of biological systems, smart technologies, architectural d...

Exploring the experiences of medical sciences faculty members and students in using artificial intelligence applications: a qualitative descriptive study

Abstract Background The rapid emergence of generative artificial intelligence (AI) is reshaping medical education worldwide. However, existing studies are predominantly quantitative and Western-centric providing limited empirical evidence regarding how medical sciences faculty members and students experience and interp...

Fine-Tuning Generative Models for Extreme Events via CVaR-Penalized Wasserstein Gradient Flows

We propose CVaR-penalized Generative Particle Algorithm (CVaR-GPA), a robust, tail-agnostic algorithm for fine-tuning generative models to learn heavy-tailed distributions and capture extreme events, requiring no prior knowledge or estimation of the target's tail characteristics. The method is the Wasserstein gradient...

The impact of intratumor heterogeneity on outcome and resistance to therapy in primary breast cancer: a systematic review

Intratumor heterogeneity (ITH), the coexistence of diverse subclones within a single tumor, may pose a major challenge to effective chemotherapy in breast cancer. This cellular diversity contributes to treatment failure, residual disease, and early relapse by enabling tumor adaptation and therapeutic resistance. Althou...

Diagnostic accuracy of deep learning applied to liver MRI for hepatocellular carcinoma detection: a systematic review and HSROC meta-analysis of patient-level evidence

Liver MRI is central to non-invasive hepatocellular carcinoma (HCC) diagnosis. Deep learning (DL) is increasingly studied for detection and interpretation, but the maturity, transportability, and patient-level diagnostic evidence for these systems remain uncertain. We searched MEDLINE, Embase, and Web of Science from 2...

UltraGNN: A Sparse-Operator-Aware Framework for Accelerating Graph Neural Networks on Tensor Cores

Graph Neural Networks (GNNs) have achieved widespread success from social networks to AI-for-Science. Most existing GNN frameworks adopt scatter-first (edge-centric) or gather-first (vertex-centric) scheduling paradigms for message passing. However, these paradigms are closely tied to traditional CUDA-core execution mo...

Diagnostic imaging modalities in Dyspnoea and suspected acute heart failure: a systematic review with Meta-analysis

Lung ultrasound may serve as a first-line bedside modality for detecting acute heart failure in adults with dyspnoea and CT showed high specificity based on limited evidence.

Implementing the NCATS translational science requirement: Approaches and challenges across multiple CTSA hubs