Results 141 to 150 of about 99,648 (313)
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Fault Diagnosis and Classification of Rolling Bearings Using ICEEMDAN-CNN-BiLSTM and Acoustic Emission. [PDF]
Li J, Sheng H, Liu B, Liu X.
europepmc +1 more source
Multi-scale attention network (MSAN) for track circuits fault diagnosis [PDF]
Weijie Tao +3 more
openalex +1 more source
Study on Partial Discharge Fault Diagnosis of High Voltage Switchboard Based on Ultrasound Detection
Meijie Liu, Zhongwei Li, Peng Qiu
openalex +1 more source
Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund +3 more
wiley +1 more source
Development of Rule-Based Diagnostic Automation Technology for Elevator Fault Diagnosis. [PDF]
Seo S, Lee JJ, Park DH, Choi BK.
europepmc +1 more source
Multivariate weighted Tsallis slope entropy for rolling bearing fault diagnosis
Yuxing Li, Jingyi Li, Yan Yan
openalex +1 more source
Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew +11 more
wiley +1 more source
Research on Fault Diagnosis of Mechanical Bearings Based on Transfer Learning. [PDF]
Gao X +5 more
europepmc +1 more source

