Results 71 to 80 of about 2,242 (266)
Advanced Science, EarlyView.In this study, we demonstrate that aberrant MEKK3 signaling in endothelial cells and microglia drives the progression of cerebral cavernous malformations (CCMs). Furthermore, we identify DPDH as a potent small‐molecule MEKK3 inhibitor with substantial therapeutic potential for CCM treatment.
Weiwei Zheng +17 more
wiley +1 more source
Modeling the Depth of Surface Cracks in Brake Disc. [PDF]
Materials (Basel), 2021 Sawczuk W +3 more
europepmc +1 more source
Advanced Science, EarlyView.A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta +6 more
wiley +1 more source
Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Brake squeals phenomena of disc brake for railroad cars
Transactions of the JSME (in Japanese), 2016 Brake squeals phenomena of the disc brake system for railroad cars were reproduced and were investigated in the test stands using a full-size brake rotor, a wheel, a floating caliper and a brake pad. Brake squeals of the disc-brake apparatus occurred at a low speed of 20 km/h or less, and the magnitude of brake squeals increased as the average braking ...
Hajime TAKAMI, Shinichi SAGA
openaire +3 more sources
Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
Advanced Intelligent Discovery, EarlyView.We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
Advanced Intelligent Systems, EarlyView.The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Experimental study on the temperature evolution in the railway brake disc
Theoretical and Applied Mechanics Letters, 2019 Increasing operating speed of modern passenger railway vehicles leads to higher thermal load on the braking system. Organic composite brake pads are poor thermal conductors, hence frictional heat is absorbed mainly by the disc.
Aleksander Yevtushenko +2 more
doaj +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced Intelligent Systems, EarlyView.Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
Case Studies in Thermal EngineeringThe maximum operating speed of trains can reach 400 km/h, the temperature of brake discs will rise rapidly during emergency braking and brings safety hazards.
Shize Zheng, Jingxian Ding, Jianyong Zuo
doaj +1 more source