Results 91 to 100 of about 367,889 (327)
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
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
ABSTRACT Objective To determine the concentration of glial fibrillary acidic protein (GFAP) in cerebrospinal fluid (CSF) and plasma in Alexander disease (AxD) and whether GFAP levels are predictive of disease phenotypes. Methods CSF and plasma were collected (longitudinally when available) from AxD participants and non‐AxD controls.
Amy T. Waldman +9 more
wiley +1 more source
Interrater Reliability Comparisons with Generalizability Theory and Structural Equation Modeling
Interrater reliability is a critical aspect of measurement quality, particularly in assessments that rely on subjective judgment. However, interrater reliability estimates vary, and such variability can introduce bias or reduce the accuracy of observed ...
Holmes Finch +2 more
doaj +1 more source
Bridging the Evidence Gap in Obesity Prevention: A Framework to Inform Decision Making [PDF]
Provides an overview of the L.E.A.D. framework (Locate evidence, Evaluate it, Assemble it, and inform Decisions) for using evidence in decision making about obesity prevention policies and programs as well as for generating new, relevant ...
core
Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury
ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma +9 more
wiley +1 more source
The rise of AI in education presents both transformative opportunities and methodological challenges. This paper revisits Generalizability Theory (G-Theory) as a robust framework to assess the reliability and fairness of AI-driven tools across diverse ...
Peer-Benedikt Degen
doaj +1 more source
The Transmuted Generalized Odd Generalized Exponential-G Family of Distributions: Theory and Applications [PDF]
Hesham Reyad +2 more
openalex +1 more source
Geometrical complexity of data approximators
There are many methods developed to approximate a cloud of vectors embedded in high-dimensional space by simpler objects: starting from principal points and linear manifolds to self-organizing maps, neural gas, elastic maps, various types of principal ...
A. Hirotugu +8 more
core +1 more source
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye +11 more
wiley +1 more source
Generalized uncertain theory: concepts and fundamental principles [PDF]
Xingguang Chen
openalex +1 more source

