Results 111 to 120 of about 166,325,679 (283)
A Numerical Method for Accelerating the Convergence of the Power Method [PDF]
Journal of Education and Science, 2009 openaire +2 more sources
Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Proceedings of the Congress on Numerical Methods in Engineering CMN 2022
, 2022 This book contains the Proceedings of the “Congress on Numerical Methods in Engineering (CMN 2022)” (https://congress.cimne.com/cmn2022), which took place from 12th to 14th September 2022 in Las Palmas de Gran Canaria, Spain, organized by the “Sociedad ...
core
Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park +5 more
wiley +1 more source
On Efficiency of Non-Monotone Adaptive Trust Region and Scaled Trust Region Methods in Solving Nonlinear Systems of Equations [PDF]
Control and Optimization in Applied Mathematics, 2016 In this paper we run two important methods for solving some well-known problems and make a comparison on their performance and efficiency in solving nonlinear systems of equations. One of these methods is a non-monotone adaptive trust region strategy and
Rasoul Hekmati
doaj
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Treatment of disorders of consciousness (DoC) remains a major clinical challenge, and noninvasive, targeted modulation of deep brain structures has emerged as a promising therapeutic strategy. We aimed to evaluate the feasibility/safety and preliminary effects of thalamic temporal interference stimulation (TIS) targeting centromedian‐
Gengyao Hu +7 more
wiley +1 more source
Local convergence for multi-point-parametric Chebyshev-Halley-type methods of high convergence order
, 2015 We present a local convergence analysis for general multi-point-Chebyshev-Halley-type methods (MMCHTM) of high convergence order in order to approximate a solution of an equation in a Banach space setting.
George, Santhosh +2 more
core +1 more source
Accelerating the convergence of Newton-type iterations
Journal of Numerical Analysis and Approximation Theory, 2017 In this paper, we present a new accelerating procedure in order to speed up the convergence of Newton-type methods. In particular, we derive iterations with a high and optimal order of convergence.
Tugal Zhanlav +2 more
doaj +2 more sources
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Multiple sclerosis (MS) is a neurodegenerative demyelinating disease of the central nervous system. This study aimed to identify micro‐RNA (miRNA)–mRNA regulatory networks underlying region‐specific molecular mechanisms in white matter and gray matter lesions in progressive MS.
Adya Sapra +5 more
wiley +1 more source