Results 31 to 40 of about 958,775 (235)

ZER1 Restrains Pressure Overload‐Induced Cardiac Remodeling by Targeting DVL2 for Gly/N‐Degron‐Dependent Degradation

Advanced Science, EarlyView.
Pressure overload suppresses cardiomyocyte ZER1, weakening CRL2Zer1‐mediated DVL2 degradation and allowing DVL2 accumulation. Elevated DVL2 activates CaMKII‐HDAC4‐MEF2C signaling, drives fetal gene reactivation, and promotes pathological remodeling.
Mingchao Jiang, Zhehao Lin, Lu Chen, Ying Ni, Jun Zhou, Wenjuan Zhang, Huilin Wang, Peifeng Ying, Xiu Lu, Kai Wang, Qingran Kong, Naxin Xu, Dingsheng Zhao, Jianwei Li, Guohui Zhong, Xingchen Meng, Sarkawt Hamad, Junmeng Zheng, Yuan Fu, Rongjiang Qin, Xuran Chu, Shangxuan Li, Youyou Li, Yili Wu, Yi Wang, Weihong Song, Yingxian Li, Shukuan Ling   +27 more
wiley   +1 more source

Nonlinear Effects of Multiscale Road Network Features on Traffic Accidents

Redai dili
Amidst rapid motorization, urban road traffic safety has become increasingly critical. As a fundamental framework of traffic systems, road networks strongly influence the occurrence of traffic accidents.
Zhou Fangyu, Xie Bo, Xiao Yangmou
doaj   +1 more source

Increase the Safety of Road Traffic Accidents by Applying Clustering

Romanian Journal of Transport Infrastructure, 2013
In terms of continual increase of number of traffic accidents and alarming trend of increasing number of traffic accidents with catastrophic consequences for human life and health, it is necessary to actively research and develop methods to combat these ...
Kos Goran, Brlek Predrag, Meic Kristijan, Vidovic Kresimir   +3 more
doaj   +1 more source

Molecular and Cellular Hallmarks of Age‐Related Vestibular Hair Cell Degeneration

Advanced Science, EarlyView.
This study utilizes single‐cell RNA‐seq transcriptomes, advanced imaging, and electrophysiology to examine universal and cell‐type‐specific aging signatures of vestibular hair cells. The study shows that impaired hair bundle function is a key driver of age‐related vestibular dysfunction.
Samadhi Kulasooriya, Huizhan Liu, Sarath Vijayakumar, Celia Bloom, Zhenhang Xu, Shu Tu, Benjamin J. Borgmeier, Mi Zhou, Litao Tao, Bechara Kachar, David Z. He   +10 more
wiley   +1 more source

Time distribution of traffic accidents in Shiraz, Iran during 2017- 2018 [PDF]

Journal of Health Management & Informatics, 2019
Background Trauma is an important and inevitable part of the health of the community. The incidence rate of accidents in Fars province is high. Identifying patterns of traffic accidents and reporting to authorities to prevent and control more accidents ...
Mahnaz Yadollahi
doaj  

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Modeling Time Series of Mortality Cases Due to Traffic and Non-Traffic Accidents in Northwestern Iran from 2013 to 2022

Iranian Journal of Nursing and Midwifery Research
Background: Globally, accidents rank as the third leading cause of mortality, following cardiovascular diseases and cancer. Accidents also account for 12% of the global disease burden.
Behrouz Fathi, Vahid Alinejad, Mitra Galvani, Fatemeh Rostampour   +3 more
doaj   +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

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

Assessment of the precision of data collected about the traffic accidents with property damage only in claim handling process by insurance companies

Transport, 2017
The number of serious road traffic accidents is decreasing in all European countries. Based on the trends and directions in the past it may be predicted that in longer perspective the number of serious road traffic accidents will decrease remarkably ...
Erik Ernits, Dago Antov, Anton Kott
doaj   +1 more source