Results 161 to 170 of about 58,933 (244)

Domain-specific versus general large language models: a review and empirical benchmark in real medical texts. [PDF]

Sci Rep
Elvas LB, Carvalho C.
europepmc   +1 more source

Active Learning With a STEM Exercise Pool for Schools and Universities

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT The STEM Exercise Pool is a digital, interactive teaching and learning resource for mathematics education in the first year of STEM and teacher training degree programs, as well as for upper secondary school. Developed by a team of experts from several universities, it comprises nearly one thousand quality‐reviewed tasks featuring automatic ...
Michael Heimann, Alexander Lohse, Ruedi Seiler   +2 more
wiley   +1 more source

Evaluating Retrieval-Augmented Large Language Models on Anesthesiology Board-Style Questions: Benchmark Study. [PDF]

JMIR Form Res
Phuong NQ, Ruan SJ, Chen PF.
europepmc   +1 more source

Sparsity‐Driven Source Localization in Tomographic Sensing Applications

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Hyperspectral standoff detection systems such as Focal Plane Array (FPA) Fourier Transform Infrared (FTIR) spectrometers provide high spatial resolution in detecting airborne chemical contaminants that are invisible to the human eye but potentially hazardous. When two such systems are operated simultaneously with a suitable opening angle, they
Marco Mattuschka, Noah An der Lan, Stefanie Schröder, Arne Ficks, Max von Danwitz, Alexander Popp   +5 more
wiley   +1 more source

Benchmarking retrieval augmented generation LLMs for Arabic noise robustness. [PDF]

Front Big Data
Almohaimeed S, Alabduljabbar A, Jari M, Alkhowaiter M, Almohaimeed S, Al Rahhal MM.   +5 more
europepmc   +1 more source

Benchmarking commercial large language models for gene–disease–phenotype extraction from full‐text human genetics literature

Quantitative Biology, Volume 14, Issue 4, December 2026.
Abstract Manual curation of gene–disease–phenotype relationships from the human genetics literature is a persistent bottleneck for maintaining its bioinformatics databases. Whereas large language models (LLMs) offer a promising alternative, there is currently no systematic benchmark that evaluates whether state‐of‐the‐art commercial LLMs can perform ...
Danqing Yin, Matthew Ka Siu Leung, Darren Wan Ho Pun, Fiona Haixin Chen, Julie Yujin Kwon, Xinyi Lin, Joshua W. K. Ho   +6 more
wiley   +1 more source

USE OF ARTIFICIAL INTELLIGENCE FOR THE EVALUATION OF THE ENTRANCE EXAMINATION OF THE BRAZILIAN SOCIETY OF SHOULDER AND ELBOW SURGERY. [PDF]

Acta Ortop Bras
Kenchian CH, Ferreira KSP, Sarmento LP, Teixeira MS, Zan RA, Tamaoki MJS.   +5 more
europepmc   +1 more source

Building a Continental‐Scale Geodetic Network: The Plate Boundary Observatory (PBO)

Perspectives of Earth and Space Scientists, Volume 7, Issue 1, December 2026.
Abstract The Plate Boundary Observatory (PBO) transformed the use of geodesy in North America to study crustal deformation and plate boundary processes by establishing a continental‐scale, standardized, open‐access geodetic network. Built and operated by UNAVCO between 2003 and 2018 as part of the National Science Foundation (NSF)‐funded EarthScope ...
Emily E. Zawacki, Michael E. Jackson, Glen S. Mattioli, David J. Mencin, Karl Feaux, Donna J. Charlevoix   +5 more
wiley   +1 more source

Interpretable multimodal learning for integrating neuroimaging and genetic data in Alzheimer's disease. [PDF]

Front Radiol
Zhao K, Dai S, Zhang Y, Liu G, Gu P, Lin C, Thompson PM, Leow A, Huang H, He L, Zhan L, Tang H.   +11 more
europepmc   +1 more source

Accuracy and Consistency of Artificial Intelligence Chatbots in Dental Anatomy Education: A Comparative Study

European Journal of Education, Volume 61, Issue 4, December 2026.
ABSTRACT The potential of Artificial Intelligence (AI), large language models (LLMs) in enhancing dental education emphasises the need for careful selection of AI tools to improve learning outcomes. Therefore, this study evaluates the accuracy and consistency of responses from eight AI chatbots to multiple‐choice questions (MCQs) related to dental ...
Mubashir Baig Mirza, Ali Robaian, Abdullah Saad Alqahtani, Abdullah A. Alqahtani, Khalid K. Alanazi, Mohammed A. S. Abuelqomsan, Shahad AlBader, Hamod Alqahtani, Abdullah AlShehri   +8 more
wiley   +1 more source