Results 231 to 240 of about 1,772,398 (306)

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie, Xiaotong Li, Venkata Sita Priyanka Illapani, Leigh N. Sepeta, Jason Schroeder, Chima O. Oluigbo, Madison M. Berl, William D. Gaillard, Nathan T. Cohen   +8 more
wiley   +1 more source

Integration of Serum Neurofilament Light Chain and Cortical Dysfunction Improves Diagnostic Accuracy in ALS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether integration of serum neurofilament light chain (NfL) and cortical dysfunction improves diagnostic accuracy in amyotrophic lateral sclerosis (ALS) when applied alongside the Gold Coast criteria (GCC). Methods In this prospective study, 148 participants with suspected ALS were recruited (101 ALS and 47 with ALS ...
Aicee Dawn Calma, Nathan Pavey, Yukiko Tsuji, Amirul Ab Ghapar, Mehdi A.J. van den Bos, Bronwen Orden, Grace Lee, Linda Mekhael, Julie Ryder, Cláudia Santos Silva, David McDonald, Fakhria Kakar, Con Yiannikas, Matthew C. Kiernan, David A. Brown, Parvathi Menon, Steve Vucic   +16 more
wiley   +1 more source

Effects of Add‐On Icosapent Ethyl With Standard Treatment on Functional Outcomes and Inflammatory Biomarkers in Acute Ischemic Stroke: A Blinded Randomized Controlled Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ischemic stroke, a major cause of mortality and long‐term disability, results from the abrupt cessation of cerebral blood flow due to vascular occlusion or rupture. Icosapent Ethyl (EPA‐EE), approved for hypertriglyceridemia, has anti‐inflammatory and antithrombotic properties that may lessen ischemic damage.
Mitra Mahmoudi Meymand, Seyed Hossein Aghamiri, Saeed Mohmammad Soleymani, Shadiyeh Bararpoor Poshkohi, Samaneh Masoudi, Hadi Esmaily   +5 more
wiley   +1 more source

Estimating the Growth Rate and Doubling Time for Short-Term Prediction and Monitoring Trend During the COVID-19 Pandemic with a SAS Macro

, 2020
Xu S, Clarke C, Shetterly S, Narwaney K.
europepmc   +1 more source

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An integrated 3D CNN-GRU deep learning method for short-term prediction of PM2.5 concentration in urban environment.

Science of the Total Environment, 2022
This study proposes a new model for the spatiotemporal prediction of PM2.5 concentration at hourly and daily time intervals. It has been constructed on a combination of three-dimensional convolutional neural network and gated recurrent unit (3D CNN-GRU).
M. Faraji, S. Nadi, Omid Ghaffarpasand, Saeed Homayoni, K. Downey   +4 more
semanticscholar   +1 more source

Short-term prediction of passenger volume for urban rail systems: A deep learning approach based on smart-card data

, 2021
Short-term prediction of passenger volume is a complex but critical task to urban rail companies, which desire prediction methods with high accuracy, time efficiency and good practicality. Good prediction results of the outbound passenger volume at urban
Xin Yang, Qiuchi Xue, Meiling Ding, Jianjun Wu, Ziyou Gao   +4 more
semanticscholar   +1 more source

Short-Term Prediction of Urban Rail Transit Passenger Flow in External Passenger Transport Hub Based on LSTM-LGB-DRS

IEEE transactions on intelligent transportation systems (Print), 2021
This paper studies accurate short-term prediction of urban rail transit passenger flow in external passenger transport hub. Based on the conventional features that affect external rail transit passenger flows, we propose an innovative method of ...
Yun Jing, Hongtao Hu, Siye Guo, Xuan Wang, Fang-Qiu Chen   +4 more
semanticscholar   +1 more source

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

Applied Soft Computing, 2020
The investigation of the accuracy of methods employed to forecast agricultural commodities prices is an important area of study. In this context, the development of effective models is necessary. Regression ensembles can be used for this purpose.
Matheus Ribeiro, L. Coelho
semanticscholar   +1 more source

Statistical Short-Term Earthquake Prediction

Science, 1987
A statistical procedure, derived from a theoretical model of fracture growth, is used to identify a foreshock sequence while it is in progress. As a predictor, the procedure reduces the average uncertainty in the rate of occurrence for a future strong earthquake by a factor of more than 1000 when compared with the Poisson rate of occurrence.
Y Y, Kagan, L, Knopoff
openaire   +3 more sources

Ultra-short-term prediction of photovoltaic output based on an LSTM-ARMA combined model driven by EEMD

Journal of Renewable and Sustainable Energy, 2021
A new method is proposed for ultra-short-term prediction of photovoltaic (PV) output, based on an LSTM (long short-term memory)-ARMA (autoregressive moving average) combined model driven by ensemble empirical mode decomposition (EEMD) and aiming to ...
Yuanxu Jiang, Lingwei Zheng, Xu Ding
semanticscholar   +1 more source