Results 271 to 280 of about 10,517,742 (364)
Advanced Science, EarlyView.This work introduces E‐GeoGNN, a graph neural network framework that systematically encodes molecular structural information through three hierarchical correlation graphs: atom‐bond graph, bond‐angle graph, and angle‐dihedral graph. By incorporating quantum and geometric dual‐scale self‐supervised pretraining, Q‐GEM is proposed, a novel molecular ...
Zhijiang Yang +7 more
wiley +1 more source
The Roles of Growth Language Mindset, Metacognitive Strategies, and Language Learning Self-Efficacy in Predicting L2 Willingness to Communicate: A Network Analysis and a Chain Mediation Model. [PDF]
Behav Sci (Basel)Ho YH +5 more
europepmc +1 more source
A Generative AI‐Assisted Piezo‐MEMS Ultrasound Device for Plant Dehydration Monitoring
Advanced Science, EarlyView.This study introduces a complementary metal–oxide–semiconductor (CMOS)‐compatible wearable piezoelectric micromachined ultrasound transducers (PMUTs) that sandwiches the leaf (PMUT–Leaf–PMUT, PLP) and employs generative artificial intelligence for real‐time analysis.
Kaustav Roy +7 more
wiley +1 more source
Editorial: Second language learning and neuroplasticity: individual differences. [PDF]
Front PsycholYang J, Cao F, van Heuven WJB, Mei L.
europepmc +1 more source
Computer-assisted language learning: do ESL students explore an exploratory environment?
, 1989 Jing-Fong Jane Hsu
openalex +2 more sources
Advanced Science, EarlyView.Reconfigurable metasurfaces typically require human intervention or complex, resource‐heavy processes. This innovative self‐adaptive metasurface senses an incident wave's direction, adjusting reflection in real‐time using a simple electronics module. It eliminates external controllers, reducing response time, energy consumption, and costs. Applications
Bo‐Wen Ren +4 more
wiley +1 more source
A machine learning-driven web application for sign language learning. [PDF]
Front Artif IntellOrovwode H, Ibukun O, Abubakar JA.
europepmc +1 more source
Advanced Science, EarlyView.A quantum kernel‐aligned regressor (QKAR) is developed for modeling Ohmic contact formation in GaN HEMT fabrication. Leveraging experimental data and a Pauli‐Z feature map enhanced with a quantum kernel alignment (QKA) layer, the model achieves superior predictive performance over classical methods.
Zeheng Wang +7 more
wiley +1 more source