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data science

2,473 papers

#data science Open access Oct 2026

Rehabilitation in Pediatric Patients with Acute and Subacute Acquired Brain Injury: A Scoping Review on Non-Pharmacological Interventions

Background: Acquired brain injury in children and adolescents may lead to long-term neurological, cognitive, motor, and behavioral impairments. However, pediatric-specific evidence on rehabilitation strategies remains limited. Objective: This review aimed to summarize current evidence on non-pharmacological neurorehabi...

Davide Cardile, Giulia Marafioti, Giuliana Tanner et al. · 0 citations
#data science Dataset Open access Oct 2026

Chinese Materials Science & Advanced Metallurgy Open Intelligence Catalog

Official Scientific Intelligence Gateway: https://sinotechintel.com This repository provides a comprehensive, structured open dataset indexing 1,381 authentic Chinese scientific research publications in Advanced Metallurgy, High-Entropy Alloys, Metal 3D Printing, Titanium & Deep Tech. Curated and verified by the SinoTe...

SinoTechIntel Academic Editorial Office · 0 citations
#data science Book Open access Oct 2026

Tratado da Ontologia do Estar: O Tratado da Nova Cosmologia e a Consolidação Teórica do E_BOOK_VII

Resumo Este tratado estabelece a expansão canônica e a síntese empírica da Ontologia do Estar, consolidando o volume definitivo do E-book 7. Rompendo com as amarras do isolacionismo metodológico ocidental, a obra demonstra que o universo não é um vazio geométrico abstrato, mas sim um Substrato Multifluido Saturado. Art...

Mariano Ricardo · 0 citations
#data science Open access Oct 2026

Uptake, Barriers, and Facilitators of Open Science in Clinical Psychology

Abstract: Open science practices (OSPs) aim to enhance transparency, reproducibility, and research quality, yet empirical research regarding their uptake in clinical psychology remains scarce. The present survey examined OSPs across clinical psychological research, teaching, and psychotherapeutic practice at universiti...

Anja C. Feneberg, Jakob Fink‐Lamotte, Helen Niemeyer · 0 citations
#data science Dataset Open access Oct 2026

Data for results of "Highly crystalline superconducting TiN resonators grown on thermally reconstructed sapphire" (DOI: 10.1088/1361-6668/aea939)

Supporting data for the results presented in "Highly crystalline superconducting TiN resonators grown on thermally reconstructed sapphire" by T.J. Smart et al. published in Superconductor Science and Technology (Thomas J Smart et al 2026 Supercond. Sci. Technol. 39 095021) the file README.txt within the .zip file descr...

Thomas J. Smart, Marc Neis, Janine Lorenz et al. · 0 citations
#data science Open access Oct 2026

Khepri — Nordic per-zone carbon intensity (NO1-NO5 + SE1-SE4)

Per-zone carbon-intensity signal for nine Nordic electricity bidding zones (NO1–NO5 and SE1–SE4), for carbon-aware computing. Production-based, derived deterministically from ENTSO-E actual generation per production type weighted by IPCC AR5 Annex III lifecycle emission factors. Replaces the uniform 18.0 gCO2eq/kWh pla...

Eirik Botten Nicolaysen · 0 citations
#data science Dataset Open access Oct 2026

Trust, Augment, or Replace? Cross-Project Defect Attribution — Reproducibility Bundle v4.0.0: Corrected LOPO Corpus, Executed LLM Parity Baselines, and Calibration Sensitivity Analysis (1,267 Real Defects from Defects4J and BugsInPy)

Reproducibility bundle for the manuscript "Trust, Augment, or Replace? What a Cross-Project Defect Predictor Is Worth on 1,267 Real Defects from Defects4J and BugsInPy" (Vijay Prasad Javvadi, submitted to PeerJ Computer Science, AI Application article type). The study asks whether a file-level defect predictor trained...

Vijay Prasad Javvadi · 0 citations
#data science Dataset Open access Oct 2026

Quadrivium: Reconstructive Harmonization of U.S. Higher-Education Survey Data

An integrated database harmonizing multiple NSF/NCSES higher-education surveys into reproducible analytical panels, using Reconstructive Harmonization: each era is reconstructed on its own terms, methodological discontinuities are decomposed into named, quantified components (real growth, definitional change, populatio...

Quadrivium contributors · 0 citations
#data science Open access Oct 2026

Regulatory Language Limits Satellite-Based Enforcement in Marine Protected Areas

# Regulatory Language Limits Satellite-Based Enforcement in Marine Protected Areas **Submission package for *Science* (Policy Forum) + Zenodo archive** Authors: Fabio Favoretto, Catalina López-Sagástegui, Paolo Guidetti, Aldo Simone, Jennifer Sletten, Virgil Zetterlind, Octavio Aburto-Oropeza, Keiron Fraser, Enric Sala...

Fabio Favoretto · 0 citations
#data science Review Open access Oct 2026

Self-management support interventions for patients with cancer treatment-related oral mucositis: a scoping review

Cancer treatment-related oral mucositis (OM) is one of the most common adverse effects of cancer treatment and can substantially impair patients’ quality of life. Its effective management depends heavily on patients’ continuous self-management. This scoping review aimed to systematically map the intervention compon...

Han Yan, Xu Liu, Jia-Ying Li et al. · 0 citations
#data science Review Open access Oct 2026

Protocol for: Adaptive Quality of Service Management in Energy-Constrained IoT Networks — A Systematic Literature Review

This record contains the research protocol and the classification database of a PRISMA 2020-compliant systematic literature review on adaptive Quality of Service (QoS) management in energy-constrained IoT networks (147 studies published 2018–2025: 128 research articles and 19 surveys, selected from 2,763 records retrie...

Hicham AFAJJAY, Essaid El Haji, Youssef Fakhri · 0 citations

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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.

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