Protocol: Particulate matter (PM10 and PM2.5) in Indian coal mining regions — a systematic review with quantitative synthesis Registration type: Retrospective (registered after screening and first-reviewer data extraction, before any inferential analysis). See "Timeline and what was already done". Reporting guidelines:...
Abstract Over recent decades, fire and rescue services have undergone a profound digital transformation through the incorporation of information systems (GIS), advanced communications, sensors, geolocation and decision-support tools. Despite these advances, the main strategic asset of emergency organisations —the opera...
Albert González Mayans· Zenodo (CERN European Organi...· 0 citations
Artificial Intelligence (AI) is increasingly becoming part of religious education, communication, research and everyday faith practices. Believers can now use generative AI to explain sacred texts, compare interpretations, prepare devotional materials and seek answers to religious questions without first consulting a r...
CANON CLINTON ONYEKACHI OKORIE, Chukwunonyerem S. O. Ukachukwu, GODSENT CHUKWUALUKA NWOSU et al.· British Journal of Advanced...· 0 citations
Theories of consciousness seek to explain what makes a system conscious, but they do not necessarily explain what makes a later conscious system the same subject as an earlier one. This article identifies this distinction as the Subjective Continuity Problem and examines its implications for consciousness science and a...
Kande Lekamalaya Senarath Dayathilake· Zenodo (CERN European Organi...· 0 citations
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The proposed pipeline offers a statistically validated, generalizable, and interpretable computational framework, representing a rigorous foundation toward automated oral cancer screening support.
N. Mohamed, Muhammad H. Zayyan, S. El-Metwally· Journal of imaging informati...· 0 citations
The ethical foundations of AI in electrophysiology are examined, focusing on dataset bias, fairness, explainability, and accountability, and future horizons including digital twins, multimodal risk engines, and real time procedural guidance systems are highlighted.
Jia-Qi Mi, Ami B. Bhatt, Rajesh Kabra et al.· Indian Pacing and Electrophy...· 0 citations
Background Increasing integration of artificial intelligence (AI) into clinical workflows necessitates assessing how future healthcare professionals adapt to these technologies. Objectıve This study aims to determine the artificial intelligence literacy and anxiety levels of students at a Vocational School of Health Se...
This study proposes AMSSE-SwinTrans, a lightweight hybrid CNN-Transformer framework that combines adaptive multi-scale squeeze-and-excitation module with simplified transformer blocks employing multi-head self-attention, along with explainable AI (XAI) for clinical interpretation that establishes itself as a resource-e...
Prabha Susy Mathew, A. Pillai, Lazzaro di Biase· Technology and Health Care· 0 citations
Outcome-based contracts (OBCs) are emerging business models that can enhance returns from investments in artificial intelligence (AI) and digital transformation. This study identifies the barriers to OBC adoption to explain how organizations can overcome the digital paradox – the under-realization of value from dig...
R. Shanmugam, Tarun Dhingra, Shivani Bali· Benchmarking : An Internatio...· 0 citations
Evidence from recent surveys, standards and industry reports indicates that AI can shorten detection and response times and reduce breach costs, but only when it is governed carefully and protected as a target in its own right.
Rajalakshmanan· International Journal for Re...· 0 citations
The X3DCPPSAIL architecture and the contribution of the Artificial Intelligence (AI) assistant (Anthropic 2026) used throughout the development process to interpret the X3D specification, generate repetitive code structures, explain unfamiliar concepts, and validate design decisions are described.
Ryker Ellingworth, A. Bergstrom, Don Brutzman· Proceedings of the 31st ACM...· 0 citations
StaticMalFiles is a heterogeneous dataset developed for research on static malicious file detection using machine learning techniques. Unlike benchmark datasets distributed with pre-extracted attributes, this dataset was constructed from raw benign and malicious files collected from publicly available repositories and...
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
