Results 91 to 100 of about 3,815 (260)

Triboelectric nanogenerators for vehicle intelligent cockpits

FlexMat, EarlyView.
Converting mechanical stimuli from drivers and vehicle motion into electrical signals, triboelectric nanogenerators provide promising interfaces toward passive, flexible, distributed and intelligent sensing for next‐generation automotive cockpits to support three core functional dimensions: driver state monitoring, vehicle state monitoring, and human ...
Haiqiu Tan, Shiquan Lü, Xiangwei Meng, Huiying Zhang, Wenxing Zhang, Dongxian Sun, Xiao Lu, Lei Wang, Haodong Zhang, William W. Yu   +9 more
wiley   +1 more source

Particle Swarm optimization of Type-2 fuzzy control for regenerative braking of electric vehicles

Frontiers in Mechanical Engineering
IntroductionRegenerative braking control technology has been widely implemented in electric vehicles (EVs) to enhance energy recuperation efficiency.
Chunhui Liu
doaj   +1 more source

Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes

iMeta, EarlyView.
Nanopore direct RNA sequencing advances transcriptomics by capturing full‐length transcripts and multiple RNA modifications; this review details its principles, workflows, tools, applications, challenges, and future research potential. Abstract Nanopore direct RNA sequencing (DRS) has transformed transcriptomics by enabling single‐molecule, long‐read ...
Tianyuan Zhang, Jia Li, Chao Tang, You Wu, Hao Wu, Xi‐Tong Zhu, Ziyang Luo, Hang Qin, Lishan Ding, Yu Zeng, Shiou Yih Lee, Xiaotao Shen, Shiwen Gao, Zhaoyang Tian, Qian Tang, Mian Li, Muhammad Tahir Ul Qamar, Yang Dong, Komivi Dossa, Yaxuan Zhang, Hu Chen, Sanqi An, Xiang Yu, Lu Chen, Dingjie Wang, Shengli Li, Ling‐Ling Chen, Yanqiang Li   +27 more
wiley   +1 more source

Optimization Study of Pneumatic–Electric Combined Braking Strategy for 30,000-ton Heavy-Haul Trains

Actuators
The normalized operation of 30,000-ton heavy-haul trains is of significant importance for enhancing the transportation capacity of heavy-haul railways. However, with the increase in train formation size, traditional braking strategies result in excessive
Mingtao Zhang, Congjin Shi, Kun Wang, Pengfei Liu, Guoyun Liu, Zhiwei Wang, Weihua Zhang   +6 more
doaj   +1 more source

Metal‐dependent regulated cell death: Molecular architecture and translational frontiers

iMeta, EarlyView.
Intracellular metal dyshomeostasis orchestrates distinct regulated cell death programs, including iron‐driven ferroptosis, copper‐mediated cuproptosis, calcicoptosis, newly designated zincoptosis, mnoptosis, and coptosis. This review systematically delineates their molecular architectures—spanning from Sorafenib‐induced lipid peroxidation and ...
Haoliang Hu, Zhe Chen, Yaqi Li, Jiayi Peng, Jiangang Cao, Hong Zhou, Mengqi Wang, Yuejia Du, Hailin Wu, Huiqin Zhao, Shifang Huang, Dianmei Yu, Meiqing Liu, Olga V. Shevchenko, Natalia Yu. Matveeva, Yiyuan Yang, Kerui Huang, Deguan Lv, Junxia Min, Linxi Chen, Fudi Wang   +20 more
wiley   +1 more source

The regulation of stem cell fate and its application in neural regeneration

Interdisciplinary Medicine, EarlyView.
Regulating stem cell fate is crucial for neural regeneration. This review summarizes key physical, biological, and chemical strategies and their applications in repairing nerve injuries, providing new insights for regenerative medicine. Abstract Regulating the fate of stem cells (SCs) is a key technical problem in the field of regenerative medicine and
Yuexin He, Xingyu Chen, Minghong He, Zhe Li   +3 more
wiley   +1 more source

Stretch‐shortening cycle force–time and power–time waveform analysis indicates limitations of the contralateral limb benchmark in athletes with ACL injury

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Unilateral countermovement jump (CMJsingle) testing is commonly used after anterior cruciate ligament reconstruction (ACLR) to assess stretch‐shortening cycle (SSC) function and return‐to‐sport readiness. However, the impact of ACLR on contralateral limb SSC function is poorly understood, which may impact the utility of the ...
Shadan Al‐Saket, Zachary McClean, Nathan Boon‐van Mossel, Tanita Botha, Helen Bayne, Cassidy de França, Kati Pasanen, Matthew Jordan   +7 more
wiley   +1 more source

Robust Position Control of an Electro‐Hydraulic Actuator via Metaheuristic Optimization of a Fractional‐Order PID Controller

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this study, a robust position control strategy is presented for a two‐stage electro‐hydraulic actuator system using a fractional‐order proportional–integral–derivative (FOPID) controller tuned by Kirchhoff's law algorithm (KLA). Electro‐hydraulic systems exhibit strong nonlinearities, parameter uncertainties, and external disturbances ...
Ridvan Firat Cinar, Davut Izci, Serdar Ekinci, Mohammad Salman, Mohammad Al‐Rabayah, Ali Akdagli, Ali Yildiz, Filiz Karaomerlioglu, Gökhan Yüksek   +8 more
wiley   +1 more source

Design, Analysis, and Experimental Validation of a Variable‐Gap Magnetorheological Damper for Seat Suspension

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT To address the dual challenges of routine driving vibration and impact loads in vehicle seat suspensions, a novel variable‐gap magnetorheological damper (VGMRD) is proposed. By combining a tapered piston with a conformal variable‐diameter cylinder, stroke‐dependent, dual‐mode damping characteristics are achieved without the need for complex ...
Min Wei, Yuchen He, Xiaoting Rui, Yixin Liu, Lilin Gu   +4 more
wiley   +1 more source

Detecting Loosening of Bolt‐Flanged Pipe Using Smoothed Pseudo Wigner–Ville Distribution: Digital Twin‐Based Approach Using Convolution Neural Networks

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this paper, an integrated digital twin‐based fault‐diagnosis framework is proposed to detect bolt loosening in flanged pipe connections. The approach combines finite element‐based numerical modeling, experimental modal analysis, and advanced signal processing‐assisted deep learning to achieve reliable loosening detection under operational ...
Milad Shabani Yousefabad, Behzad Totakhaneh Bonab, Morteza Homayoun Sadeghi, Mir Mohammad Ettefagh, Mohammad Reza Chalak Qazani   +4 more
wiley   +1 more source