Results 91 to 100 of about 6,022,561 (366)

Strength Training in Individuals with Stroke [PDF]

Physiotherapy Canada, 2004
PURPOSE: This paper reviews the mechanisms underlying the inability to generate force in individuals with stroke and summarizes the effects of strength training in these individuals. In addition, a systematic review of studies that have incorporated progressive strengthening interventions in individuals with stroke is presented. SUMMARY OF KEY POINTS:
openaire   +3 more sources

Claustrum Volume Is Reduced in Multiple Sclerosis and Predicts Disability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The claustrum is a small, thin structure of predominantly gray matter with broad connectivity and enigmatic function. Little is known regarding the impact of claustrum pathology in multiple sclerosis (MS). Methods This study assessed whether claustrum volume was reduced in MS and whether reductions were associated with specific ...
Nicole Shelley, Bradley Judge, Dmitriy A. Yablonskiy, Robert T. Naismith, Matthew R. Brier, Anne H. Cross   +5 more
wiley   +1 more source

Resistance Training Volume Enhances Muscle Hypertrophy but Not Strength in Trained Men

Medicine & Science in Sports & Exercise, 2018
Purpose The purpose of this study was to evaluate muscular adaptations between low-, moderate-, and high-volume resistance training protocols in resistance-trained men.
B. Schoenfeld, B. Contreras, J. Krieger, J. Grgic, Kenneth Delcastillo, Ramon Belliard, Andrew Alto   +6 more
semanticscholar   +1 more source

Clinical Phenotyping of Long COVID Patients Evaluated in a Specialized Neuro‐COVID Clinic

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To report Long COVID characteristics and longitudinal courses of patients evaluated between 4/14/21–4/14/22 at the University of Pennsylvania Neurological COVID Clinic (PNCC), including clinical symptoms, neurological examination findings, and neurocognitive screening tests from a standardized PNCC neurological evaluation approach ...
Luana D. Yamashita, Neel Desai, Abigail R. Manning, Caitlin Pileggi, Sara Manning Peskin, Danielle K. Sandsmark, Dennis L. Kolson, Matthew K. Schindler   +7 more
wiley   +1 more source

IMU Airtime Detection in Snowboard Halfpipe: U-Net Deep Learning Approach Outperforms Traditional Threshold Algorithms

Sensors
Airtime is crucial for high-rotation tricks in snowboard halfpipe performance, significantly impacting trick difficulty, the primary judging criterion.
Tom Gorges, Padraig Davidson, Myriam Boeschen, Andreas Hotho, Christian Merz   +4 more
doaj   +1 more source

Universal Proteomic Signature After Exercise‐Induced Muscle Injury in Muscular Dystrophies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Several neuromuscular disorders (NMDs) are characterized by progressive muscle damage and are marked by the elevation of circulating muscle proteins from activity‐related injury. Despite a diverse array of genetic drivers, many NMDs share similar patterns of exercise intolerance and higher concentrations of muscle injury proteins ...
Mads G. Stemmerik, Benjamin Barthel, Nanna R. Andersen, Sofie V. Skriver, Alan J. Russell, John Vissing   +5 more
wiley   +1 more source

Improving the affordability of robustness training for DNNs [PDF]

arXiv, 2020
Projected Gradient Descent (PGD) based adversarial training has become one of the most prominent methods for building robust deep neural network models. However, the computational complexity associated with this approach, due to the maximization of the loss function when finding adversaries, is a longstanding problem and may be prohibitive when using ...
arxiv  

Management and Outcomes in Confirmed or Suspected Acute Symptomatic Seizure: Role of Structured Outpatient Care

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Post‐discharge management and outcomes of acute symptomatic seizures (ASyS) remain underexplored. We analyzed post‐discharge ASM management and outcomes in ASyS patients undergoing continuous EEG (cEEG), including the role of outpatient care through a post‐acute symptomatic seizure (PASS) clinic. Methods We performed a single‐center,
Vineet Punia, MarieElena Byrnes, Nicolas R. Thompson, Neishay Ayub, Clio Rubinos, Sahar Zafar, Adithya Sivaraju, Zhong Ying, Jessica R. Fesler, Stephen Hantus, Post‐Acute Symptomatic Seizure Investigation and Outcomes Network (PASSION) investigators   +10 more
wiley   +1 more source

Blind Adversarial Training: Balance Accuracy and Robustness [PDF]

arXiv, 2020
Adversarial training (AT) aims to improve the robustness of deep learning models by mixing clean data and adversarial examples (AEs). Most existing AT approaches can be grouped into restricted and unrestricted approaches. Restricted AT requires a prescribed uniform budget to constrain the magnitude of the AE perturbations during training, with the ...
arxiv  

Clinical Trial Readiness in Limb Girdle Muscular Dystrophy R1 (LGMDR1): A GRASP Consortium Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying functional measures that are both valid and reliable in the limb girdle muscular dystrophy (LGMD) population is critical for quantifying the level of functional impairment related to disease progression in order to establish clinical trial readiness in the context of anticipated therapeutic trials.
Stephanie M. Hunn, Lindsay N. Alfano, Aileen Jones, Amanda Butler, Linda P. Lowes, Megan A. Iammarino, Natalie F. Reash, Lindsay Pietruszewski, Sandhya Sasidharan, Melissa Currence, Jeffrey M. Statland, Talia Strahler, Robert Will, Matthew Wicklund, Stacy Dixon, Renee Augsburger, Tahseen Mozaffar, Katie M. Laubscher, Shelley R. H. Mockler, Katherine D. Mathews, Nikia Stinson, Doris G. Leung, Molly M. Stark, Rebecca A. Horton, Peter B. Kang, Meredith K. James, Amanda Clause, Conrad C. Weihl, Nicholas E. Johnson, GRASP‐LGMD Consortium   +29 more
wiley   +1 more source