Results 111 to 120 of about 40,198 (236)
The tensile strength of granite, a proposed host for nuclear waste, degrades severely above 400°C. We link this to specific microcracking patterns captured by acoustic emission, establishing a scientific basis for assessing repository safety under thermal load.
Wei Zeng +7 more
wiley +1 more source
Synergistic Multi-Granularity Rough Attention UNet for Polyp Segmentation. [PDF]
Wang J, Lim CS.
europepmc +1 more source
Quadruple hydrogen‐bonded high‐adhesion ionogels for gesture recognition and real‐time NH3 sensing. Ionogels have garnered significant attention in flexible sensing due to their outstanding mechanical properties, conductivity, and stability. However, establishing a robust and stable adhesive interface with various substrates remains a significant ...
Haohao Lin +7 more
wiley +1 more source
Enhancing the freeze-thaw stability of maize starch via targeted mutation of both Waxy1 and Sugary2. [PDF]
Ma M +6 more
europepmc +1 more source
Abstract Objective Addressing the poorly understood impact of pediatric epilepsy on neurodevelopment, this large‐scale study delineates age‐ and sex‐stratified neurostructural trajectories in magnetic resonance imaging (MRI)‐negative pediatric epilepsy to identify periods of maximal developmental divergence from healthy controls.
Yingfan Wang +10 more
wiley +1 more source
Spatial modeling of forest-savanna bistability: impacts of fire dynamics and timescale separation. [PDF]
Shen K, Levin S, Patterson D.
europepmc +1 more source
A hybrid Fuzzy–SVM framework for real‐time dust detection and thermal mapping in PV panels. ABSTRACT Dust accumulation significantly degrades the energy output of photovoltaic (PV) panels, particularly in arid and semi‐arid regions. While existing studies have separately explored image‐based dust detection, environmental modeling, and machine learning (
Debasish Sarker +4 more
wiley +1 more source
Advanced Spectroscopic, Imaging, and Nanotechnology Tools for Diagnosing Fungal Diseases in Fruits. [PDF]
Adiani V, Mishra A.
europepmc +1 more source
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source

