Results 151 to 160 of about 536,263 (355)

Motor Neuron Induction and Differentiation

open access: yes, 2019
This protocol describes how to: • Generate motor neural progenitor cells (MNPCs) • Generate motor neurons from MNPCs Version 2.0 now available.
Thomas M. Durcan   +3 more
openaire   +4 more sources

Associations of Stroke With Risk of Epilepsy: Results From the Atherosclerosis Risk in Communities (ARIC) Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To estimate the risk of epilepsy associated with stroke in a community‐based cohort, with consideration of stroke type, number, and severity. Methods Data from 15,100 Atherosclerosis Risk in Communities (ARIC) Study participants without stroke at baseline (1987–1989) were analyzed through 12/31/2022.
Jiping Zhou   +11 more
wiley   +1 more source

Elevated cerebrospinal fluid vasopressin in motor neuron disease. [PDF]

open access: bronze, 1987
Jonathan R. Seckl   +2 more
openalex   +1 more source

Profound downregulation of the RNA editing enzyme ADAR2 in ALS spinal motor neurons

open access: yesNeurobiology of Disease, 2012
Amyotrophic lateral sclerosis (ALS) is the most common adult-onset fatal motor neuron disease. In spinal motor neurons of patients with sporadic ALS, normal RNA editing of GluA2, a subunit of the L-α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid ...
Takuto Hideyama   +6 more
doaj  

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

open access: yesInternational 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   +2 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

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