Results 121 to 130 of about 52,931 (300)

Artificial Intelligence Powers Protein Functional Annotation

Advanced Science, EarlyView.
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang, Qiurong Yang, Min Zeng, Ruiqing Zheng, Min Li   +4 more
wiley   +1 more source

Assessing the proficiency of large language models in automatic feedback generation: An evaluation study

Computers and Education: Artificial Intelligence
Assessment feedback is important to student learning. Learning analytics (LA) powered by artificial intelligence exhibits profound potential in helping instructors with the laborious provision of feedback.
Wei Dai, Yi-Shan Tsai, Jionghao Lin, Ahmad Aldino, Hua Jin, Tongguang Li, Dragan Gašević, Guanliang Chen   +7 more
doaj   +1 more source

Heterointerface‑Enabled Electrocatalysis for Efficient Energy Conversion

Advanced Science, EarlyView.
Functionally distinct A/B materials can be integrated at the nanoscale to create customized heterointerfaces with tunable band alignment and charge redistribution, providing fast electron and ion transport channels as well as cooperative dual active sites.
Liuru Fang, Hsiwen Wu, Hengyue Xu, Jie Zhang   +3 more
wiley   +1 more source

Using GPT-3 to Build a Lexicon of Drugs of Abuse Synonyms for Social Media Pharmacovigilance. [PDF]

Biomolecules, 2023
Carpenter KA, Altman RB.
europepmc   +1 more source

A High‐Throughput Live Imaging Platform to Investigate Circuit‐Dependent Regulation of Circadian Rhythms in Brain Tissue

Advanced Science, EarlyView.
Biological rhythms coordinate physiology, from genes to behavior. Study of circadian rhythms in brain tissue is constrained by limited throughput and spatial and temporal information quality. A new platform for high‐throughput, long‐term multiplexed fluorescent live imaging of circadian rhythms in brain slices is introduced.
Marco Ferrari, Natalie Ness, Julieta Acosta, Marco Brancaccio   +3 more
wiley   +1 more source

Evaluating the performance of GPT-3.5, GPT-4, and GPT-4o in the Chinese National Medical Licensing Examination

Scientific Reports
This study aims to compare and evaluate the performance of GPT-3.5, GPT-4, and GPT-4o in the 2020 and 2021 Chinese National Medical Licensing Examination (NMLE), exploring their potential value in medical education and clinical applications.
Dingyuan Luo, Mengke Liu, Runyuan Yu, Yulian Liu, Wenjun Jiang, Qi Fan, Naifeng Kuang, Qiang Gao, Tao Yin, Zuncheng Zheng   +9 more
doaj   +1 more source

Investigating antiquities trafficking with generative pre-trained transformer (GPT)-3 enabled knowledge graphs: A case study. [PDF]

Open Res Eur, 2023
Graham S, Yates D, El-Roby A.
europepmc   +1 more source

Creative Destruction and Firm-Specific Performance Heterogeneity [PDF]

Traditional U.S. industries with higher firm-specific stock return and fundamentals performance heterogeneity use information technology (IT) more intensively and post faster productivity growth in the late 20th century.
Bernard Yeung, Hyunbae Chun, Jung-Wook Kim, Randall Morck   +3 more
core  

Achieving Phonon‐Glass Electron‐Crystal Behavior in Fully Organic Flexible Thermoelectrics

Advanced Energy Materials, EarlyView.
Phonon‐glass Electron‐crystal (PGEC) behavior is demonstrated in fully organic composites consisting of conductive polymers (PEDOT:PSS) and soft polymeric fillers (PVA). The optimized PEDOT:PSS–PVA composite concurrently reveals delocalized transport and thermal conductivity close to its theoretical minimum, yielding a superior thermoelectric figure of
Jeong Han Song, Seunghwan Lee, Sunwoo Cho, Beomsoo Chun, Hyejin Jang, Jeonghun Kwak   +5 more
wiley   +1 more source

Comparison of the Performance of GPT-3.5 and GPT-4 With That of Medical Students on the Written German Medical Licensing Examination: Observational Study

JMIR Medical Education
BackgroundThe potential of artificial intelligence (AI)–based large language models, such as ChatGPT, has gained significant attention in the medical field.
Annika Meyer, Janik Riese, Thomas Streichert   +2 more
doaj   +1 more source