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data science

2,473 papers

#data science Dataset Open access Oct 2026

Methodological quality of health research from Saudi Arabia: data and code

De-identified data and analysis code for a cross-sectional meta-research study of the methodological quality of health research from Saudi Arabia. A random sample of 385 studies was drawn from all 5,558 PubMed-indexed primary human health studies with at least one Saudi-affiliated author published in 2022. Each study w...

Talal S. Alshihayb, Alhanoof Aburas, Maha Alattas et al. · 0 citations
#data science Review Open access Oct 2026

A review of manual, semi-automatic, and automated methods in dental radiographic analysis for clinical and forensic diagnosis

Dental radiography serves as a crucial tool in clinical diagnosis, treatment planning, and forensic identification. Advances in imaging technologies such as panoramic radiography orthopantomogram (OPG), periapical imaging, and cone-beam computed tomography (CBCT) have significantly enhanced diagnostic capabilities. In...

Nur Nafi'iyah, Rifky Aisyatul Faroh, E. Astuti et al. · 0 citations
#data science Open access Oct 2026

Analisis Keaktifan Siswa Kelas VIII Pada Pembelajaran PjBL-STEM Materi Pemisahan Campuran

Keaktifan siswa merupakan salah satu aspek penting dalam menciptakan pembelajaran IPA yang bermakna. Namun, pembelajaran di kelas masih didominasi oleh aktivitas yang berpusat pada guru sehingga partisipasi siswa belum optimal. Penelitian ini memiliki tujuan menganalisis keaktifan siswa kelas VIII pada pembelajaran Pro...

Alfina Nuril Lailia, Hari Wisodo, Ferdi Dwi Sagitha · 0 citations
#data science Oct 2026

Ocular Surface Disorders in Hajj Pilgrims: A Systematic Review of Environmental Exposure and Travel-Related Health Risks

Purpose: Hajj pilgrimage represents a unique mass gathering environment where pilgrims are exposed to extreme climatic conditions and travel-related health risks. While previous Hajj health research has primarily focused on infectious diseases and acute medical conditions, ocular surface disorders remain insufficiently...

Yuliono Trika Nur Hasan · 0 citations
#data science Dataset Open access Oct 2026

Methodological quality of health research from Saudi Arabia: data and code

De-identified data and analysis code for a cross-sectional meta-research study of the methodological quality of health research from Saudi Arabia. A random sample of 385 studies was drawn from all 5,558 PubMed-indexed primary human health studies with at least one Saudi-affiliated author published in 2022. Each study w...

Talal S. Alshihayb, Alhanoof Aburas, Maha Alattas et al. · 0 citations
#data science Dataset Open access Oct 2026

A selectivity-direction benchmark for co-folding models

A matched-pair benchmark that asks whether a co-folding model can tell which of two related targets a substitution moves toward. Each item is two close analogues measured against two related targets in one report with one readout; only the sign of the change in selectivity is scored. The primary set holds 7,656 decidab...

Takuya Kobayakawa, Hirokazu Tamamura · 0 citations
#data science Book Open access Oct 2026

OrcaQuest Lab V2.2.3: An Integrated Graphical Platform for ORCA-Based Computational Chemistry, Molecular Analysis, Visualization, and Surface Studies

OrcaQuest Lab (OQL) V2.2.3 is an updated integrated graphical computational-chemistry environment developed around the ORCA quantum-chemistry package. It connects molecular preparation, ORCA input generation and job execution, output parsing, molecular-property analysis, visualization, and chemical interpretation withi...

Sabry Abdel-Mottaleb · 0 citations
#data science Open access Sep 2026

Modelling longitudinal polytomous animal data using Bayesian hierarchical models

The analysis of longitudinal categorical data can be complex and unfeasible due to the number of parameters involved, characterised by overparameterisation leading to model non-convergence, in addition to problems related to sample size and the presence or absence of overdispersion. In this context, we adopt the Bayesi...

Maria Letícia Salvador, Gabriel Rodrigues Palma, Mariana Coelly Modesto Santos Tavares et al. · 0 citations
#data science Open access Sep 2026

Space-Time Waveform Relaxation Multigrid for Navier–Stokes

Abstract. Space-time finite-element discretizations are well-developed in many areas of science and engineering, but much work remains within the development of specialized solvers for the resulting linear and nonlinear systems. In this work, we consider the all-at-once solution of the discretized Navier–Stokes equatio...

James Jackaman, Scott MacLachlan · 0 citations
#data science Open access Oct 2026

Hepatitis B Vaccination Intention and Influencing Factors among College Students in Huanggang, Hubei, China: A Protection Motivation Theory-Based Cross-Sectional Study

Objective: This study assessed the intention to receive the hepatitis B vaccine and identified influencing factors among college students in Huanggang, China, using the Protection Motivation Theory (PMT).Material and Methods: A cross-sectional study was conducted between April and May 2025. Data were collected via PMT-...

Cong Zhang, Phatcha Hirunwatthanakul, Hannah Wechkunanukul et al. · 0 citations
#data science Open access Oct 2026

ICT Device Utilization, Student Attitudes and Academic Achievement in Undergraduate Science Education: A Correlational Study

This study examined ICT device utilization, students’ attitudes toward ICT and their relationship with academic achievement among undergraduate Science Education students at Usmanu Danfodiyo University Sokoto, Nigeria. A correlational research design was adopted with a sample of 278 students. Data were collected using...

Akilu Isma’il, Mujidat Lukman Olatunbosun · 0 citations
#data science Open access Oct 2026

Efektivitas Metode Joyful Learning Berbasis Educaplay Terintegrasi Deep Learning terhadap Motivasi Belajar dan Hasil Belajar IPAS Siswa Kelas IV di UPT SPF Inpres Mannuruki I

This study describes the implementation and tests the effectiveness of the Joyful Learning method based on Educaplay and integrated with the Deep Learning approach on the learning motivation and science and social studies (IPAS) learning outcomes of fourth-grade students at UPT SPF Inpres Mannuruki I, Makassar. A quant...

Andi Putri Sari, Badruddin Kaddas, Erwin Nurdiansyah · 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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