Results 241 to 250 of about 9,865,590 (355)

Correspondence of MRI and nTMS With EDSS in Multiple Sclerosis: Longitudinal Follow‐Up Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Considering the characteristics of multiple sclerosis (MS) disease and its impact on motor disability, this study aims to assess the functional integrity of the corticospinal tract by examining motor evoked potentials (MEPs), Expanded Disability Status Scale (EDSS) scores, magnetic resonance imaging (MRI) lesion counts, and ...
Antonia Bralić   +13 more
wiley   +1 more source

Abelian varieties of prescribed order over finite fields. [PDF]

open access: yesMath Ann
van Bommel R   +4 more
europepmc   +1 more source

Cortical Excitability Before and After Long‐Term Perampanel Treatment for Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Antiseizure medications (ASMs), which may influence cortical excitability, are the mainstay of epilepsy treatment. Transcranial magnetic stimulation (TMS) helps evaluate cortical excitability. We assessed changes in TMS responses using serial TMS measurements in people treated with an adjunctive noncompetitive AMPA‐receptor ...
Robert M. Helling   +6 more
wiley   +1 more source

CNS Mitochondria‐Derived Vesicle in Blood: Potential Biomarkers for Brain Mitochondria Dysfunction

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial dysfunction is a hallmark of neurodegenerative diseases like Alzheimer's (AD) and Parkinson's (PD). Our goal was to develop practical, noninvasive methods to assess mitochondrial status through the detection of mitochondria‐derived vesicles (MDVs).
Qi Liu   +12 more
wiley   +1 more source

Volatile-mediated plant interactions: an innovative approach to cultivar mixture selection for enhanced pest resilience. [PDF]

open access: yesFront Plant Sci
Markovic D   +13 more
europepmc   +1 more source

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

Cutting-Edge Advances in Cystic Fibrosis: From Gene Therapy to Personalized Medicine and Holistic Management. [PDF]

open access: yesGenes (Basel)
Parisi GF   +7 more
europepmc   +1 more source

Extended Tower Number Field Sieve: A New Complexity for the Medium Prime Case

open access: yesAnnual International Cryptology Conference, 2016
Taechan Kim, R. Barbulescu
semanticscholar   +1 more source

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