Intelligent Fault Diagnosis of Hydraulic Multi-Way Valve Using the Improved SECNN-GRU Method with mRMR Feature Selection. [PDF]
Guan H, Yan R, Tang H, Xiang J.
europepmc +1 more source
Dynamic Single‐Binding Event Profiling With on‐Chip Microlenses for Wash‐Free Digital Biosensing
A microlens‐enhanced platform enables real‐time tracking and digital counting of single‐binding events using conventional bright‐field microscopy. Amplified scattering signals from gold nanoparticle labels and kinetic signature analysis allow wash‐free discrimination between specific and nonspecific interactions, while providing kinetic and mechanistic
Tingting Zhan +12 more
wiley +1 more source
Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology. [PDF]
Xue Z, Huang Y, Zhang W, Shi J, Luo H.
europepmc +1 more source
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio +6 more
wiley +1 more source
A Hybrid Feature Selection and Multi-Label Driven Intelligent Fault Diagnosis Method for Gearbox. [PDF]
Liu D, Zhang X, Zhang Z, Jiang H.
europepmc +1 more source
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review. [PDF]
Qiu S +6 more
europepmc +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
A Deep Generative Model with Multiscale Features Enabled Industrial Internet of Things for Intelligent Fault Diagnosis of Bearings. [PDF]
Hu HX, Cai Y, Hu Q, Zhang Y.
europepmc +1 more source
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang +10 more
wiley +1 more source

