Results 41 to 50 of about 173,973 (286)

Adaptive information sharing approach for crowd networks based on two stage optimization [PDF]

open access: yesInternational Journal of Crowd Science, 2019
Purpose – This paper aims to optimize and evaluating the performance of the crowd networks through analyzing their information sharing patterns. That is, in a crowd network, the qualities of accomplishing tasks are highly dependent on the effective ...
Xiaoni Wang   +4 more
doaj   +1 more source

Effectiveness and Safety of Nusinersen and Risdiplam in Spinal Muscular Atrophy: A Systematic Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinal Muscular Atrophy (SMA) is a rare genetic disorder marked by progressive muscle weakness and mobility loss. It has a profound physical, emotional and social impact on patients and caregivers, requiring comprehensive medical and supportive care.
Amin Mehrabian   +9 more
wiley   +1 more source

Two-stage deep neural network for diagnosing fungal keratitis via in vivo confocal microscopy images

open access: yesScientific Reports
Timely and effective diagnosis of fungal keratitis (FK) is necessary for suitable treatment and avoiding irreversible vision loss for patients. In vivo confocal microscopy (IVCM) has been widely adopted to guide the FK diagnosis.
Chun-Peng Li   +15 more
doaj   +1 more source

Lessons Learned From a Delayed‐Start Trial of Modafinil for Freezing of Gait in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Freezing of gait (FOG) in people with Parkinson's disease (PwPD) is debilitating and has limited treatments. Modafinil modulates beta/gamma band activity in the pedunculopontine nucleus (PPN), like PPN deep brain stimulation. We therefore tested the hypothesis that Modafinil would improve FOG in PwPD.
Tuhin Virmani   +8 more
wiley   +1 more source

Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis [PDF]

open access: gold, 2021
Miklós Szócska   +21 more
openalex   +1 more source

Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker   +9 more
wiley   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein   +13 more
wiley   +1 more source

Analysis of Dual-Tasking Effect on Gait Variability While Interacting with Mobile Devices [PDF]

open access: gold, 2022
David Carneros-Prado   +5 more
openalex   +1 more source

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick   +19 more
wiley   +1 more source

Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders

open access: yesSensors, 2019
Accurate stride-length estimation is a fundamental component in numerous applications, such as pedestrian dead reckoning, gait analysis, and human activity recognition.
Qu Wang   +5 more
doaj   +1 more source

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