A wavelet-based frequency-domain approach for accurate multi-crop disease detection. [PDF]
Zhao J +7 more
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
A community public health emergency resilience assessment framework based on contrastive learning and hyperbolic embedding. [PDF]
Wen Q, Ismail M, Abdul Nasir MH.
europepmc +1 more source
ABSTRACT Background Several studies show that large language models (LLMs) struggle with phenotype‐driven gene prioritization for rare diseases. These studies typically use Human Phenotype Ontology (HPO) terms to prompt foundation models such as GPT and LLaMA to predict candidate genes.
Zhanliang Wang +3 more
wiley +1 more source
Research on the development of Chaozhou woodcarving from the perspectives of grounded theory and biomechanics. [PDF]
Li L, Wu F, Zang W, Fan L.
europepmc +1 more source
Digital health technology use in Australian general practice (GP) consultations: a cross-sectional analysis of the medicine in Australia: balancing employment and life study. [PDF]
Tran M +4 more
europepmc +1 more source
Abstract Background Visuospatial deficits in Parkinson's disease (PD) often precede dementia and complicate daily functioning. Alzheimer's disease (AD) pathology and α‐synuclein aggregation frequently co‐occur in PD, but their combined impact on cognition is unclear.
David Ledingham +8 more
wiley +1 more source
Quality Assessment of Solar EUV Remote Sensing Images Using Multi-Feature Fusion. [PDF]
Dai S +8 more
europepmc +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source

