Results 51 to 60 of about 271,691 (311)

Study on the Fluid-induced Vibration Response of Fluctuating Pressure on High-speed Train

机车电传动, 2020
In order to study the influence mechanism of fluctuating pressure on the interior noise of the high-speed train, the pressure value of the external wall of a train was extracted by the method of combining the wavelet threshold de-noising and the ...
Jianrong ZHOU, Chunjun CHEN, Zhen ZHANG
doaj  

Research progress in sonar dome turbulent boundary layer wall fluctuating pressure

Zhongguo Jianchuan Yanjiu, 2018
A sonar dome structure mounted on the bulb of a high-speed ship vibrates under Turbulent Boundary Layer (TBL) wall pressure fluctuation and radiates noise inward.
XU Jiaqi, MEI Zhiyuan
doaj   +1 more source

Effects of Streamwise Sinusoidal Flow on the Aerodynamic Characteristics of a Box Girder

Applied Sciences, 2022
This study systematically investigated the aerodynamic characteristics of a closed box girder in sinusoidal oscillating flow fields based on experimental and numerical approaches.
Haohong Li, Liangliang Zhang, Bo Wu, Zhao Xiao   +3 more
doaj   +1 more source

A Generalized Brownian Motion Model for Turbulent Relative Particle Dispersion

, 2015
In this paper, a generalized Brownian motion model has been applied to describe the relative particle dispersion problem in more realistic turbulent flows.
Shivamoggi, Bhimsen
core   +1 more source

Impact of Stress‐Induced Hyperglycemia on In‐Hospital Medical Complications in Patients With Acute Stroke: From a Large‐Scale Nationwide Longitudinal Registry

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Aims This study aimed to explore the relationship between stress‐induced hyperglycemia (SIH) and in‐hospital medical complications in patients with acute stroke. Methods We enrolled 865,765 patients with acute stroke from the Chinese Stroke Center Alliance cohort.
Xintong Song, Yi Ju, Hongqiu Gu, Zhikai Zhu, Zixiao Li, Qian Zhang, Xingquan Zhao   +6 more
wiley   +1 more source

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai, Yang Qu, Reziya Abuduxukuer, Kejia Zhang, Peng Zhang, Xin Tang, Huaimei Zhang, Lijuan Wang, Lichong Yang, Shuangxu Tan, Zhimei Yuan, Ce Han, Lili He, Yuping Zheng, Fenglan Zhao, Lijie Guo, Ligang Jiang, Jinfeng Li, Yongfei Jiang, Xuexia Zou, Dan Xu, Han Xu, Xiaojia Wang, Yingbin Qi, Xuefeng Hu, Yu Zhang, Zhen‐Ni Guo, Hang Jin, on behalf of the Biomarkers of Brain Injury Investigator Study Group   +28 more
wiley   +1 more source

Fluctuation pressure of biomembranes in planar confinement [PDF]

Physical Review E, 2013
4 pages, 5 ...
Auth, Thorsten, Gompper, Gerhard
openaire   +4 more sources

Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte, Lucy Norcliffe‐Kaufmann, Maria Luisa Cotrina, Zenith Khan, Kaia Dalamo, Patricio Millar Vernetti, Matthew Lawless, Elisabetta Morini, Monica Salani, Marla Weetall, Jana Narasimhan, Agostino G. Rocha, Susan A. Slaugenhaupt, Horacio Kaufmann   +13 more
wiley   +1 more source

Fluctuation pressure of a stack of membranes [PDF]

Physical Review E, 2001
We calculate the universal pressure constants of a stack of N membranes between walls by strong-coupling theory. The results are in very good agreement with values from Monte-Carlo simulations.
Bachmann, Michael, Kleinert, Hagen, Pelster, Axel   +2 more
openaire   +3 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source