Results 51 to 60 of about 69,328 (138)
Evaluating Harm Reduction Advice From Large Language Models
Drug and Alcohol Review, Volume 45, Issue 7, November 2026.ABSTRACT Introduction Large language models (LLM) and generative Artificial Intelligence are increasingly providing health information. We have applied a novel method to evaluate the harm reduction information generated by popular LLMs. We focused on the filtration of oral medications for injection and the availability of local harm reduction services.
Khy Choo +3 more
wiley +1 more source
Actinomycosis: etiology, clinical features, diagnosis, treatment, and management
Infection and Drug Resistance, 2014 Florent Valour,1–3 Agathe Sénéchal,1,2 Céline Dupieux,2–4 Judith Karsenty,1,2 Sébastien Lustig,2,5 Pierre Breton,2,6 Arnaud Gleizal,2,7 Loïc Boussel,2,8,9 Frédéric Laurent,2–4 Evelyne Braun,
Valour F +12 more
doaj
Regional Heterogeneity and China’s International Trade: Sufficient Lumpiness or Not? [PDF]
This paper explores whether there is sufficient lumpiness or heterogeneity in the relative endowments (capital, labour and skills) of the regions of China to affect China’s specialization and trade patterns.
Zhihong Yu, Meng Lu, Chris Milner
core
Large Language Models and Agentic AI for Vulnerability Management: A Systematic Review
Expert Systems, Volume 43, Issue 11, November 2026.ABSTRACT Large Language Models (LLMs), pretrained language and code models and agentic artificial intelligence are increasingly being investigated across the vulnerability‐management lifecycle. However, the evidence remains fragmented across code‐level prediction, vulnerability‐intelligence enrichment, exploit‐oriented evaluation, automated repair and ...
Yasamin Akrami +2 more
wiley +1 more source
Is Mexico A Lumpy Country? [PDF]
Mexico's experience before and after trade liberalization presents a challenge to neoclassical trade theory. Though labor abundant, it nevertheless exported skill-intensive goods and protected labor-intensive sectors prior to liberalization.
Andrew B. Bernard +2 more
core
GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
AIChE Journal, Volume 72, Issue 10, October 2026.Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source
The Anatomical Record, Volume 309, Issue 10, Page 2574-2635, October 2026.A new musculoskeletal reconstruction and revision of the cranio‐mandibular anatomy of the Devonian arthrodire placoderm Dunkleosteus terrelli from a comparative and functional anatomical perspective. Dunkleosteus is a specialized arthrodire with many specializations for feeding on large vertebrates, and many of its features are part of broader ...
Russell K. Engelman +4 more
wiley +1 more source
Lumpy Countries, Urbanization, and Trade [PDF]
Lumpiness of production factors within a country might overturn the predictions for the structure of trade by the factor-abundance (HO) model. Trade patterns, as predicted by this model, can both be magnified or reversed by uneven concentration of ...
Steven Brakman, Charles van Marrewijk
core
Journal of Field Robotics, Volume 43, Issue 7, Page 4475-4514, October 2026.ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang +3 more
wiley +1 more source
Adapting a Pretrained LLM to Rapidly Recover Earthquake Magnitude and Location
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.Abstract Determining earthquake magnitude and location through fast, automated methods is fundamental for seismic monitoring. Recent studies have shown that Large Language Models (LLMs) can operate as pattern‐recognition systems capable of handling novel domains and purely numerical tasks.
Aurora Bassani +6 more
wiley +1 more source