Results 51 to 60 of about 22,363 (257)

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

An adjustment framework for mitigating the impact of rail transit construction on bus operations

Scientific Reports, 2022
During the construction of rail transit, some road resources are occupied under construction and hence the capacity of affected road sections is reduced.
Qinhe An, Jie Ma, Jingxu Chen, Wenhao Li, Yiran Wang   +4 more
doaj   +1 more source

New Onset of Fibromyalgia After Exposure to a Combat Environment: A Longitudinal Cohort Study

Arthritis Care &Research, EarlyView.
Objective Traumatic life events are hypothesized to be triggers for the onset of fibromyalgia. Posttraumatic stress disorder (PTSD) is a common comorbidity of fibromyalgia. However, limited prospective data are available on the development of fibromyalgia after exposure to high‐magnitude stress.
Jay B. Higgs, Willie J. Hale, Casey L. Straud, Jim Mintz, Stacey Young‐McCaughan, Kimberly D. Gomes, Chelsea J. Sterne, Katrina M. Lawrence‐Wolff, Alan J. Bartholomew, Kevin M. Kelly, Douglas M. Maurer, Catherine Vriend, Brett T. Litz, Douglas E. Williamson, Alan L. Peterson, for the STRONG STAR Consortium   +15 more
wiley   +1 more source

Understanding the Impact of Human Mobility Patterns on Taxi Drivers’ Profitability Using Clustering Techniques: A Case Study in Wuhan, China

Information, 2017
Taxi trajectories reflect human mobility over the urban roads’ network. Although taxi drivers cruise the same city streets, there is an observed variation in their daily profit.
Hasan A. H. Naji, Chaozhong Wu, Hui Zhang   +2 more
doaj   +1 more source

Extraction of Optimal Measurements for Drowsy Driving Detection considering Driver Fingerprinting Differences

Journal of Advanced Transportation, 2021
Contributions of measurements for detecting drowsy driving are determined by calculation parameters, which are directly related to the accuracy of drowsiness detection.
Yifan Sun, Chaozhong Wu, Hui Zhang, Yijun Zhang, Shaopeng Li, Hongxia Feng   +5 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Battery voltage fault diagnosis for electric vehicles considering driving condition variation

IET Intelligent Transport Systems
To ensure the real‐time operation safety of electric vehicles (EVs), it is essential to diagnose the fault in a battery pack timely and accurately. In this paper, with considering driving condition, a battery voltage fault diagnosis method is proposed ...
Hui Zhang, Shaopeng Li, Feng Chen, Xiaofeng Pan, Hongxia Feng, Yifan Sun   +5 more
doaj   +1 more source

Learning Traffic as Images for Incident Detection Using Convolutional Neural Networks

IEEE Access, 2020
The timely and accurate detection of traffic incidents is beneficial to reduce associated economic losses and avoid secondary crashes. Inspired by the impressive success of the image classification algorithms, especially convolutional neural networks ...
Xiaozhou Liu, Hengxing Cai, Renxin Zhong, Weili Sun, Junzhou Chen   +4 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source