A CNN Feature Extraction and BKA-Optimized LSSVM Classification Method for Small-Sample Rolling Bearing Fault Diagnosis. [PDF]
Sun S, Shi Y, Li Q, Wang J, Lu H.
europepmc +1 more source
Longitudinal Morphomolecular Monitoring of Head and Neck Carcinogenesis
A miniaturized endoscopic probe that integrates Raman spectroscopy and optical coherence tomography, enabling simultaneous molecular and structural imaging of living tissue, was developed. Applied longitudinally in a mouse model of head and neck cancer, the system tracks disease progression from precancerous lesions to invasive cancer.
Jianrong Qiu +7 more
wiley +1 more source
An interpretable vibration-enhanced BRB model for rolling bearing fault diagnosis. [PDF]
Fan Z, Li K, Zhu H, Yang C, He W.
europepmc +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
A Rolling Bearing Fault Diagnosis Method Based on PSO-Optimized FHN Stochastic Resonance. [PDF]
Wang Z +6 more
europepmc +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Similarity-aware VAE with wavelet-convolutional 1D-CNN for rolling bearing fault diagnosis. [PDF]
Xiong W, Xiao N, Wang R.
europepmc +1 more source
An origami worm‐inspired robot achieves multimodal locomotion in confined pipelines through mechatronic integration that embeds actuation, control, and communication within each origami module. Large, reversible configuration and dimensional changes enable 25 gaits synthesized by a unified framework across peristaltic, inchworm, and wheel‐rolling modes
Qiwei Zhang +6 more
wiley +1 more source
A novel dual-dimensional contrastive self-supervised learning-based framework for rolling bearing remaining useful life prediction. [PDF]
Shen Z +5 more
europepmc +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source

