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data science

3,683 papers

#data science Open access Oct 2026

Digital resilience of an organization in risk management

Objectives The study aimed to assess how implemented protection and monitoring measures in an ICT environment strengthen organisational resilience in security science terms - namely the ability to maintain operational continuity, reduce vulnerabilities and disruption impacts, and improve early detection and assessment...

Marta Chodyka, Tomasz Grudniewski, Zbigniew Ciekanowski · 0 citations
#data science Review Open access Nov 2026

Impact of Project-Based Learning on Student Engagement in Science Classroom

This research explores how learning science through Project-Based Learning (PBL) can increase student engagement by influencing student interest and academic performance in the 7th-grade classroom. While elementary students often enjoy science because it is very hands-on, middle school introduces a more structured inst...

Jennifer Kopec, Rosario Arellano · 0 citations
#data science Review Open access Nov 2026

The Impact of Purposeful Humor on Student Engagement and Learning in an Elementary Classroom: An Action Research Study

The purpose of this action research study was to explore how humorous science books can be purposefully integrated into elementary science instruction to enhance student engagement and conceptual understanding. Participants included nineteen second-grade students, ages seven to eight. The study examined the impact of t...

Lauren Sorensen · 0 citations
#data science Review Open access Oct 2026

Self-Management Behaviours and Health Literacy in Adults with Type 2 Diabetes Mellitus: A Scoping Review.

Background: Self-management of diabetes is significantly affected by health literacy; however, its role in affecting specific behaviours is not well understood. This scoping review synthesised the existing evidence on the mechanisms, mediators, and contextual factors through which health literacy influences self-manage...

Shu-Wei Chen, P. Subramaniam, Qi-Zhi Hao et al. · 0 citations
#data science Dataset Open access Oct 2026

Run archive for "What Does Execution-Gated Refinement Buy in Text-to-SQL? Cost, Accuracy Across Backbones, and Negative Results"

Stored requests and responses, predictions and per-run metadata of the experiments reported in "What Does Execution-Gated Refinement Buy in Text-to-SQL? Cost, Accuracy Across Backbones, and Negative Results" (Li, Song, Wang; submitted to Applied Sciences). 161 runs, 1,401 files (1.2 GB unpacked). The archive allows the...

Shikai Li, Song Xue, Dongwei Wang · 0 citations
#data science Open access Oct 2026

Near-critical moment corrections in the bond-diluted Ising model on the Bethe lattice

We study the first corrections to the critical cavity-field distribution of a bond-diluted Ising ferromagnet on a Bethe lattice. At fixed bond occupation above the percolation threshold, the mean-normalized cavity field tends to the branching-process martingale profile. Starting from this known leading limit, we derive...

Weiqi Jiang · 0 citations
#data science Open access Oct 2026

From Practice to Framework: Integrating Islamic ‎Religious Education and Science in an Indonesian ‎Islamic Elementary School

The integration of Islamic Religious Education (PAI) and Science represents a crucial approach to developing students' scientific competence while simultaneously strengthening Islamic values ​​and character. This study aims to identify the general and specific characteristics of integrated PAI and Science instruction,...

Ismail Ismail, Anip Dwi Saputro, Ari Susetiyo · 0 citations
#data science Open access Oct 2026

Effectiveness of Using the Six-Dimensional Strategy on Skill Performance of Selected Handball Skills and Development of Decision-Making Among Students

The purposes of this study are to examine the difference between pre-test and post-test results of students' skill performance in the selected handball skills after applying the 6 dimensional strategy, and to examine the contribution of the 6 dimensional strategy to improve the decision making skill of students. In add...

Salwan Khalid Mahmoud · 0 citations
#data science Open access Oct 2026

Effectiveness of Using the Six-Dimensional Strategy on Skill Performance of Selected Handball Skills and Development of Decision-Making Among Students

The purposes of this study are to examine the difference between pre-test and post-test results of students' skill performance in the selected handball skills after applying the 6 dimensional strategy, and to examine the contribution of the 6 dimensional strategy to improve the decision making skill of students. In add...

Salwan Khalid Mahmoud · 0 citations
#data science Open access Oct 2026

Bridging Clinical Prediction and Workplace Exposure: A Data-Driven Risk Stratification and Prediction Model for Occupational Respiratory Diseases.

Abstract Occupational respiratory disease (ORD) surveillance remains largely reactive, with diagnosis often occurring only after clinically significant symptoms develop. Existing risk stratification tools are primarily clinically derived and rarely incorporate occupational exposure variables such as exposure intensity,...

Muhamad Syazni Mohamad Asraff, Siti Munira Yasin, Mohamad Rodi Isa et al. · 0 citations
#artificial intelligence Open access Oct 2026

Adaptive Labor Infrastructure for AI Disruption: The Hybrid Agora: collective meta-intelligence, human-agent teams and a virtuous learning circle between communities and machines

Artificial intelligence already performs much of the repetitive cognitive work in closed domains faster and at lower cost. The policy and research conversation now asks how workers and AI build expertise together, whether reskilling and reemployment can scale at the pace of disruption, and what public and private inves...

Cristian Bataller · 1 citation
#artificial intelligence Preprint Open access Oct 2026

CalArena: A Large-Scale Post-Hoc Calibration Benchmark

Reliable probability estimates are critical in many machine learning applications, yet modern classifiers are often poorly calibrated. Post-hoc calibration provides a simple and widely used solution, but the large number of proposed methods, combined with small-scale and inconsistent evaluations, makes it difficult to...

Eug\`ene Berta, David Holzm\"uller, Francis Bach et al. · 0 citations

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GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.

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