Diabetes mellitus is an important public health concern, and acute disturbances in blood glucose, particularly hypoglycemia, may temporarily affect cognitive and psychomotor functions required for safe driving. In Libya, the prevalence of diabetes and the burden of road traffic injuries highlight the importance of expl...
Morad Hussain Kaib, Ehsan Altayef, Abeed ALtaqazi et al.· Shihab Journal of Humanities· 0 citations
Urban dredged silt has a weak structure and poor water stability, which limit its direct infrastructure reuse. In this study, we evaluate a biochar-modified alkali-activated slag (BAS) binder comprising corn-straw biochar, ground granulated blast-furnace slag (GGBS), and carbide slag. Response surface methodology was u...
Kaiyan Wen, Yuhua Zhan, Qiang Feng et al.· Frontiers in Materials· 0 citations
This repository provides the reproducibility materials associated with the research manuscript entitled: “Simulation-Based Development, Stress Testing, and External Physiological Benchmarking of a Nurse-Centered Early-Warning Framework for Diabetic Ketoacidosis.” The repository is intended to support transparency, repr...
Muneera Alharbi· Zenodo (CERN European Organi...· 0 citations
Abstract—The software engineering (SWE) lifecycle has transitioned from human-centric manual programming toward autonomous AI code synthesis and closed-loop program repair. Foundation models pre-trained on billions of source code tokens—including modern frontier models and specialized coding LLMs—have evolved beyond is...
Shubham Bhardwaj, Subh Kumar Gupta, Dr. Vishal Shrivastava et al.· Zenodo (CERN European Organi...· 0 citations
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v1.0.0 – Initial reproducibility release Initial public reproducibility release associated with the study: Practical Guidelines for Permutation-Based Model Validation in Machine Learning under Class Imbalance This release contains: the final nested-validation implementation; AdaBoost, LightGBM, Random Forest, and XGBoo...
Amadi Gabriel Udu, Andrea Lecchini‐Visintini· Zenodo (CERN European Organi...· 0 citations
This lecture examines the modern digital design flow as a reproducible, iterative process fortranslating requirements into an implementation and evidence that the result is fit for purpose. It introduceslevels of digital-system representation, parallel design and verification activities, verifiable deliverables, anddec...
Alex Malachevsky· Zenodo (CERN European Organi...· 0 citations
This study examines how digital infrastructure expansion shaped carbon intensity across the EU-27 member states from 2015 to 2021. Using a Fixed Effects panel model with White Diagonal robust standard errors, the research tests for an Environmental Kuznets Curve (EKC) pattern in digital adoption. The results of the emp...
Ani Stoykova· Green and Low-Carbon Economy· 0 citations
M2b and M4b TMT validation — amendment I Diagnostic J triggered amendment I under the fixed 5-pp rule before changes. Both TMT presets now use the endpoint aggregated mask for p_g/q_g; generating intensity, variance and endpoint definitions remain unchanged. Registered M4b: specht2019v3 72/72 (PASS); leduc2022_pSCoPE 6...
yhengaa· Zenodo (CERN European Organi...· 0 citations
First public archival release of the program synthesis frozen on 24 August 2026, deposited on 13 October 2026. This theoretical and computational preprint records the macro side of the Operational Thermodynamic Observers geometry–gravity bridge: finite collective geometry reconstruction, conditional Jacobson thermodyna...
Itay Priiz· Zenodo (CERN European Organi...· 0 citations
1 Abstract Background Correct and accurate deconvolution of SARS-CoV-2 lineages from wastewater sequencing data is a challenging task, given the intricacy of wastewater amplicon-sequencing data and the ever-growing complexity of the lineage classification. Existing benchmarking studies made use of artificial spike-in c...
Anna Schedl, Andreas Bergthaler, Fabian Amman· Gigabyte· 0 citations
Data, analysis outputs and reports for Paper 1 of Fair Node: Information, influence and ruin in a provably fair betting game. The study was preregistered on OSF before its confirmatory data existed: osf.io/qemdj (filed 29 September 2026). This is the archive that registration names. The study ran software Agents with f...
Nicholas Monroe· Zenodo (CERN European Organi...· 1 citation
Analysis code of the paper "How evaluation choices change the verdict on a three-dimensional lake model: lessons from a 26-year hindcast of Lake Victoria" (Nyamweya et al., submitted to Environmental Modelling & Software). It takes one table of matched model and observed readings and computes skill metrics with survey-...
Chrisphine Sangara Nyamweya· Zenodo (CERN European Organi...· 1 citation
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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