Results 71 to 80 of about 3,705,508 (348)

Very High‐Frequency Oscillations in Mesial Temporal Lobe Epilepsy: Identifying the Epileptogenic Zone

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the reliability of very high‐frequency oscillations (VHFOs, 500–2000 Hz) as biomarkers in identifying the epileptogenic zone (EZ) in mesial temporal lobe epilepsy (MTLE) patients. Methods We reviewed 19 MTLE patients who underwent stereo‐electroencephalography‐guided radiofrequency thermocoagulation.
Stéphane Jean, Yihai Dai, Yan Cui, Donghuo Deng, Zhe Qian, Panashe Tevin Tagu, Weitao Chen, Weihong Liu, Xiaoqiang Wei, Xinrong Fang, Shiwei Song   +10 more
wiley   +1 more source

A Distribution Level Wide Area Monitoring System for the Electric Power Grid–FNET/GridEye

IEEE Access, 2017
The wide area monitoring system (WAMS) is considered a pivotal component of future electric power grids. As a pilot WAMS that has been operated for more than a decade, the frequency monitoring network FNET/GridEye makes use of hundreds of global ...
Yong Liu, Shutang You, Wenxuan Yao, Yi Cui, Ling Wu, D. Zhou, Jiecheng Zhao, Hesen Liu, Yilu Liu   +8 more
semanticscholar   +1 more source

Histone Deacetylase 6 Brain PET in Amyotrophic Lateral Sclerosis‐Frontotemporal Spectrum Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective [18F]EKZ‐001 is a positron emission tomography (PET) tracer targeting histone deacetylase 6 (HDAC6), an enzyme responsible for intracellular transport and clearance of misfolded proteins. HDAC6 modulation is a promising treatment strategy in neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS).
Greet Vanderlinden, Charles Carron, Donatienne Van Weehaeghe, Joke De Vocht, Fouke Ombelet, Pegah Masrori, Caro De Weerdt, Rebecca E. James, Lauren T. Evans, Frederick A. Schroeder, Jacob M. Hooker, Michel Koole, Janice E. Kranz, Tonya M. Gilbert, Philip Van Damme, Koen Van Laere   +15 more
wiley   +1 more source

Physical Mechanism Enabled Neural Network for Power System Dynamic Security Assessment

CSEE Journal of Power and Energy Systems
Data-driven artificial intelligence technologies have emerged as increasingly fascinating tools for assessing power system security. However, their inherent mechanism of inexplicability and unreliability now limits their scalability in power systems.
Guozheng Wang, Jianbo Guo, Shicong Ma, Kui Luo, Xi Zhang, Qinglai Guo, Shixiong Fan, Tiezhu Wang, Weilin Hou   +8 more
doaj   +1 more source

EEG Response to Sedation Interruption Complements Behavioral Assessment After Severe Brain Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate assessment of the level of consciousness and potential to recover in patients with severe brain injury underpins crucial decisions in the intensive care unit but remains a major challenge for the clinical team. The neurological wake‐up test is a widely used assessment tool. However, many patients' behavioral responses during
Charlotte Maschke, Loretta Norton, Catherine Duclos, Miriam Han, Kira Dolhan, Geoffrey Laforge, Allison Frantz, Xiaoyu Wang, Hassan Al‐Hayawi, Tianyu Zhang, Raphaël Lavoie, Adrian M. Owen, Stefanie Blain‐Moraes   +12 more
wiley   +1 more source

Power System Impacts of Electric Vehicles in Germany: Charging with Coal or Renewables?

, 2015
We analyze the impacts of future scenarios of electric vehicles (EVs) on the German power system, drawing on different assumptions on the charging mode. We find that the impact on the load duration curve strongly differs between charging modes.
W. Schill, Clemens Gerbaulet
semanticscholar   +1 more source

Effects of motor–generator pair system on improving inertial response and primary frequency regulation capability of renewable energy

IET Renewable Power Generation, 2021
The increasing penetration of renewable energy leads to the decrease of inertia and damping for replacing conventional power plants. The motor–generator pair (MGP) is proposed to improve inertial response and frequency regulation capability for the ...
Yujun Gu, Yongzhang Huang, Chenyang Li, Fei Guan, Wenqi Fu, Yang Zhan, Haisen Zhao   +6 more
doaj   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Heat pipe thermionic diode power system Patent [PDF]

, 1970
Electric power system utilizing thermionic plasma diodes in parallel and heat pipes as ...
Byrd, A. W.
core   +1 more source

Power system inertia estimation method based on maximum frequency deviation

IET Renewable Power Generation, 2022
In order to solve the problem that the inertia estimation method based on the rate of change of frequency (RoCoF) is only applicable to the centre of inertia (COI) frequency, a novel inertia estimation method is proposed based on the maximum frequency ...
Baocai Wang, Huadong Sun, Wenfeng Li, Chao Yang, Wei Wei, Bing Zhao, Shiyun Xu   +6 more
doaj   +1 more source