Results 71 to 80 of about 2,237 (266)

Evaluation of Wear of Disc Brake Friction Linings and the Variability of the Friction Coefficient on the Basis of Vibroacoustic Signals. [PDF]

Sensors (Basel), 2021
Sawczuk W, Ulbrich D, Kowalczyk J, Merkisz-Guranowska A.   +3 more
europepmc   +1 more source

Research on Braking Vibration Characteristics of Grooved Brake Interface of Disc Brake

IOP Conference Series: Materials Science and Engineering, 2019
Abstract With the good performance and wide application of surface texture in various aspects, more and more scholars are devoted to investigating the effect of texture interface on tribological properties. Disc brake friction pair is a typical friction brake interface.
Zhihua Sha, Panli Kang, Jian Yin, Yu Liu, Shengfang Zhang, Fujian Ma, Dapeng Yang   +6 more
openaire   +1 more source

CD112 Lactylation Drives Dual Immune Evasion From CD8+ T Cells and NK Cells

Advanced Science, EarlyView.
AARS2 functions as an intracellular lactate sensor and lactyltransferase, catalyzing CD112 K412 lactylation to block ubiquitination‐dependent degradation and stabilize CD112. This pathway suppresses CD8+ T‐cell and NK‐cell cytotoxicity, enabling dual immune evasion.
Zhuoshuo Xu, Xinyu Zhang, Fang Dong, Nenghao Shen, Jun Zhou, Zihan Xi, Zhenghao Wu   +6 more
wiley   +1 more source

Inhibition of MEKK3 Prevents Cerebral Cavernous Malformation Progression Via Restoring Endothelial Integrity and Restricting Microglial Activation

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, Suyun Yu, Liwenyu Chen, Jing Ma, Peiliang Shen, Chang Yu, Xiaoqing Xin, Qiuhong Shen, Jing Chen, Song Ke, Hao Liu, Xiaobing Jiang, Ruogu Qi, Juming Yan, Jia Li, Jaesung P. Choi, Yin Lu, Yang Zhao   +17 more
wiley   +1 more source

Hybrid Spring‐Coupled Broadband Energy Harvester Integrated with CuSCN Functionalized Triboelectric Vibration Sensor for Self‐Sustainable Vehicular IoTs

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, Gagan Bahadur Pradhan, Shital Sharma, MoonSeong Jo, Aklesh Teli, Hochan Chang, Jae Yeong Park   +6 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

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, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +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, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +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, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +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, Michał Kuciej, Piotr Wasilewski   +2 more
doaj   +1 more source