Results 71 to 80 of about 5,645 (242)
A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi +17 more
wiley +1 more source
Sample-path solutions for simulation optimization problems and stochastic variational inequalities [PDF]
inequality;simulation ...
Gürkan, G., Ozge, A.Y., Robinson, S.M.
core
Robust and Automated Variational Inference
Bayesian inference offers a sound and consistent framework to analyze data under uncertainty. Good decision making under uncertainty requires writing elaborate probabilistic models to model and simulate the systems we find around us.
Dhaka, Akash Kumar
core +1 more source
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab +19 more
wiley +1 more source
Optimization techniques in statistics
Statistics help guide us to optimal decisions under uncertainty. A large variety of statistical problems are essentially solutions to optimization problems. The mathematical techniques of optimization are fundamentalto statistical theory and practice. In
Rustagi, Jagdish S, Rustagi,Jagdish S. R
core
ABSTRACT Objective Blood biomarkers are increasingly critical for non‐invasive Alzheimer's Disease (AD) diagnostics and research but typically require on‐site processing. Remote point‐of‐care collection methods could enhance biomarker testing in clinical and research settings.
Sara Ho +9 more
wiley +1 more source
Fast interior point solution of quadratic programming problems arising from PDE-constrained optimization [PDF]
Interior point methods provide an attractive class of approaches for solving linear, quadratic and nonlinear programming problems, due to their excellent efficiency and wide applicability.
Gondzio, Jacek +4 more
core +1 more source
ABSTRACT Background Blood‐based biomarkers are increasingly used to identify Alzheimer's disease (AD) pathology and may play an important role in early disease screening and participant selection for clinical trials. However, their performance across stages of cognitive impairment remains unclear. This study examined whether plasma biomarkers differ in
Maryam Abdolmaleki +7 more
wiley +1 more source
Post-variational quantum neural networks [PDF]
Hybrid quantum-classical computing in the noisy intermediate-scale quantum (NISQ) era with variational algorithms can exhibit barren plateau issues, causing difficult convergence of gradient-based optimization techniques.
Huang, Po-Wei, Rebentrost, Patrick
core +1 more source

