Results 121 to 130 of about 658,329 (307)

Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi   +19 more
wiley   +1 more source

Reweighted Least Trimmed Squares: An Alternative to One-Step Estimators [PDF]

open access: yes
A new class of robust regression estimators is proposed that forms an alternative to traditional robust one-step estimators and that achieves the √n rate of convergence irrespective of the initial estimator under a wide range of distributional ...
Cizek, P.
core   +1 more source

Rapid evaluation of least squares and minimum evolution criteria on phylogenetic trees [PDF]

open access: yes, 1997
We present fast new algorithms for evaluating trees with respect to least squares and minimum evolution (ME), the most commonly used criteria for inferring phylogenetic trees from distance data.
Waddell, Peter J., Bryant, David James
core  

Structure–Function Decoupling of the Sensorimotor and Default Mode Networks in Black Americans With MS

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano   +11 more
wiley   +1 more source

Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks [PDF]

open access: yes, 1999
The paper presents a two-level learning method for radial basis function (RBF) networks. A regularized orthogonal least squares (ROLS) algorithm is employed at the lower level to construct RBF networks while the two key learning parameters, the ...
Luk, B.L., Wu, Y., Chen, S.
core  

Water Quantity Prediction Using Least Squares Support Vector Machines (LS-SVM) Method [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2014
The impact of reliable estimation of stream flows at highly urbanized areas and the associated receiving waters is very important for water resources analysis and design.
Nian Zhang   +2 more
doaj  

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati   +10 more
wiley   +1 more source

Estimation and inference in unstable nonlinear least squares models [PDF]

open access: yes
In this paper, we extend Bai and Perron's (1998, Econometrica, pp. 47-78) method for detecting multiple breaks to nonlinear models. To that end, we consider a nonlinear model that can be estimated via nonlinear least squares (NLS) and features a limited ...
Hall, Alastair R., Boldea, Otilia
core   +1 more source

A Prospective Study of Individuals at Risk of Multiple Sclerosis Informs the Design of Primary Prevention Studies

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen   +7 more
wiley   +1 more source

Efficacy of Intermittent Theta‐Burst Stimulation for Prolonged Disorders of Consciousness: A Prospective, Randomized, Controlled Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Emerging evidence suggests that low‐frequency neural oscillations are dynamically regulated by consciousness levels, with the recovery of low cortical activity potentially serving as a neurophysiological substrate for conscious emergence. Targeted enhancement of these low‐frequency rhythms in patients with disorders of consciousness
Chuan Xu   +10 more
wiley   +1 more source

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