Results 181 to 190 of about 161,648 (258)
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Show Your Work: Verbatim Evidence Requirements and Automated Assessment of Large Language Models for Biomedical Text Processing of Trial Eligibility Criteria. [PDF]
Windisch P +5 more
europepmc +1 more source
Stem cell differentiation follows a conserved surface condensate trajectory: H3K27ac super enhancers nucleate large RNA polymerase II clusters that grow and unfold before transcriptional activity disperses them. This work reveals how biophysical forces at enhancer surfaces dynamically build and dismantle stem cell transcription hubs, reshaping cell ...
Tim Klingberg +18 more
wiley +1 more source
Health inequalities in outpatient neurological conditions across a large UK urban population: a retrospective observational study using automated coding. [PDF]
Markey K +10 more
europepmc +1 more source
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley +1 more source
Automated red cell exchange in acute sickle cell crises: Case series and review of the literature. [PDF]
Aishwarya V +5 more
europepmc +1 more source
STransformer is a unified deep learning framework designed to seamlessly accommodate a comprehensive landscape of spatial data. By simultaneously capturing short‐range cellular interactions and tissue‐wide semantic patterns, it extracts robust representations to accurately dissect complex tissue heterogeneity.
Xingyi Li +9 more
wiley +1 more source
Automated Monkeypox Identification from Electronic Medical Records Using Large Language Models - Shenzhen City, Guangdong Province, China, 2023-2025. [PDF]
Xue D +6 more
europepmc +1 more source

