Skip to content

Category

data science

2,430 papers

#data science Open access Oct 2026

Status Relational Entropy (SRE)-Dynamics -The Book of the Void

On April 24, 2026, while pondering why electric fields generate magnetic fields, an initial insight came to me: could the fundamental ontology of this world be rooted in information? Once this idea took shape, my thinking and reasoning would not cease. As others have described it, I fell into a state of near-obsessive...

Yue Lu · 0 citations
#data science Open access Oct 2026

Data and code for: One genotype, two deserts - climatic distance to a premium terroir predicts Deglet Noor date quality in North Africa and California

Data and Python code reproducing all analyses of the article "One genotype, two deserts: climatic distance to a premium terroir predicts Deglet Noor date quality in North Africa and California" (submitted to Elementa: Science of the Anthropocene). The archive contains ERA5 daily extracts (1990-2024, retrieved via the O...

Chouaib Selkh, Samia Bissati, Abdelmadjid Chehma · 0 citations
#data science Review Open access Oct 2026

Replication package for "Production-Oriented Evaluation and Testing of LLM-Based Agents: A Systematic Literature Review"

Replication package for the systematic literature review "Production-Oriented Evaluation and Testing of LLM-Based Agents: A Systematic Literature Review" (revised version, submitted to Information and Software Technology; first submitted as "Evaluation and Testing of LLM-Based Agents in Production: A Systematic Literat...

Carlos Chinchilla Corbacho, Daniel H. de la Iglesia, André Sales Mendes et al. · 0 citations
#data science Dataset Open access Oct 2026

Chernobyl ¹³⁷Cs and neoplasm mortality across Türkiye — data and analysis code

# Chernobyl ¹³⁷Cs and neoplasm mortality across Türkiye — data and analysis code **Distinguishing spatial confounding from radiation effects in ecological studies through an apparent Chernobyl–neoplasm mortality gradient across Türkiye** This repository is the reproducibility compendium for the study above. It contains...

Yasin Etli · 0 citations
#data science Oct 2026

DETERMINAN NILAI PERUSAHAAN PADA INDUSTRI FARMASI: PERAN UKURAN PERUSAHAAN, PROFITABILITAS DAN LIKUIDITAS

Penelitian ini bertujuan untuk mengetahui dan mengkaji Determinan Nilai Perusahaan pada Industri Farmasi: Peran Ukuran Perusahaan, Profitabilitas, dan Likuiditas. Ukuran Perusahaan diproksikan dengan SIZE, Profitabilitas diproksikan dengan Return On Assets, serta Likuiditas diproksikan dengan Quick Ratio. Penelitian in...

Amelya Permata, Nur Laily · 0 citations
#data science Open access Oct 2026

Damage-repair kinetics and phase stiffness in a site-diluted XY model: implications for irradiated superconductors

A computational study of a phenomenological model. No experiment was performed and the model is not calibrated to any conductor. Prepared for submission to Superconductor Science and Technology. A two-dimensional XY lattice of the local superconducting phase, in which sites are damaged (pair breaking) at a rate that ri...

Leon Sandler · 0 citations
#data science Open access Oct 2026

Reimagining Hadith Studies: Embodied Islamic Knowledge and the Integration of Religion and Science in Southeast Asia Islamic University

The transformation of Islamic higher education institutions into universities has intensified demands to integrate religious sciences and modern disciplines, while also raising concerns about marginalizing hadith studies as a core normative field. This article reimagines hadith studies in the university era by examinin...

Wahidul Anam, Mubaidi Sulaeman, Ika Silviana et al. · 0 citations
#data science Open access Oct 2026

Cross-Lagged Panel Analysis Using Structural Equation Modeling: Trends and Suggestions Based on a Literature Review of 111 Studies

Cross-lagged panel analysis based on structural equation modeling (SEM) has been widely used in the behavioral sciences. The present study provides a literature review based on 111 studies published in major psychology journals that conducted cross-lagged panel analysis. Through this review, we offer an overview of cur...

Asuka Nishida, Satoshi Usami · 0 citations
#data science Open access Oct 2026

The depth of the shared Kenyon-cell mode determines olfactory learnability: diagnosis and cure of connectome-specific learning in a whole-brain spiking model

Connectome-constrained whole-brain models of Drosophila reproduce sensorimotor responses without per-cell tuning, yet associative learning inside a full spiking recurrent network remains an unsolved benchmark. We show that olfactory learnability is a property not of the rule and not of the neuron, but of the connectome...

Andrey A. Smarygin · 0 citations
#data science Open access Oct 2026

Supplementary materials, data and code for Denominator and Vocabulary Sensitivity in Wetland Bibliographic Trends: An Auditable Agricultural-Hydrology Case Study

This record accompanies the manuscript "Denominator and Vocabulary Sensitivity in Wetland Bibliographic Trends: An Auditable Agricultural-Hydrology Case Study". It contains Supplementary Information (Sections S1-S18), Figures S1-S7 in PNG, PDF and editable SVG formats, and Data and Code S1. The data and code archive pr...

Chuang Du, Yuhe Li, Wenhua Piao et al. · 0 citations
#data science Open access Oct 2026

A cross-sectional study of hepatitis B vaccination coverage and occupational risk exposure among health science students in a Nigerian University

Abstract Introduction Despite the presence of a safe and effective vaccine for hepatitis B virus (HBV), health science students remain at significant risk for infection. This study assessed HBV vaccination coverage, awareness, and associated factors among health science students at Usmanu Danfodiyo University in Sokoto...

Ismail Tajudeen Hamza, Anas Ibrahim Yakubu, Amir Yahaya et al. · 0 citations

From tech blogs

See all →
Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.