Results 81 to 90 of about 93,042 (232)
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
From virtual attachments to real-world fertility desires: emotional pathways in game character attachment and parasocial relationships. [PDF]
Qi Y, Jie G, Yun D, Zhuo DY.
europepmc +1 more source
M. Tukhtasinov, K. Mustapokulov
semanticscholar +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Popularizing health education, building public health facilities or regular screening? How to prevent schistosomiasis more effectively in African children. [PDF]
Wu S, Bai Y, Li J, Yang Y.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Evolutionary game analysis of emergency medical supply production capacity reserves in nonprofit organizations: A theoretical perspective. [PDF]
Xiao H, Luo G, Wang Y, Shuang H, Li B.
europepmc +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
A Randomized Proof-of-Concept Study of Gamified Rhythmic Training in Autistic Children. [PDF]
Jamey K +5 more
europepmc +1 more source

