Results 211 to 220 of about 846,547 (352)
Fault Detection and Isolation on the Basis of Dynamic Process Models
Paul M. Frank
openalex +2 more sources
Network Localization of Fatigue in Multiple Sclerosis
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Online Sensor Fault Detection Using Machine Learning Algorithms on a Laboratory-Scale Batch Reactor: LSTM Approach. [PDF]
Lobo NC +5 more
europepmc +1 more source
Frailty Exacerbates Disability in Progressive Multiple Sclerosis
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks +10 more
wiley +1 more source
Real‐World Investigation of Satralizumab in Patients With Neuromyelitis Optica Spectrum Disease
ABSTRACT Objective Satralizumab, a monoclonal antibody targeting the interleukin‐6 receptor, has demonstrated efficacy in clinical trials for neuromyelitis optica spectrum disorder (NMOSD). However, its real‐world effectiveness and safety compared to conventional immunosuppressive therapies remain uncertain.
Li‐Tsung Lin +2 more
wiley +1 more source
Enhancing reliability in electrical grids: A hybrid machine learning approach for electrical faults classification. [PDF]
Begum M +6 more
europepmc +1 more source
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai +28 more
wiley +1 more source
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela +13 more
wiley +1 more source
Exploratory Analysis of ELP1 Expression in Whole Blood From Patients With Familial Dysautonomia
ABSTRACT Background Familial dysautonomia (FD) is a hereditary neurodevelopmental disorder caused by aberrant splicing of the ELP1 gene, leading to a tissue‐specific reduction in ELP1 protein expression. Preclinical models indicate that increasing ELP1 levels can mitigate disease manifestations.
Alejandra González‐Duarte +13 more
wiley +1 more source
Blockchain and federated Q-learning-based secure, fault tolerant, and energy efficient framework for ad hoc networks. [PDF]
Tandon R, Gupta PK, Cheng X.
europepmc +1 more source

