Results 111 to 120 of about 13,326,208 (288)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Application of preconditioned conjugate gradient-like methods to two and three dimensional fluid flow calculations [PDF]
, 1991 Performance evaluation of the preconditioned conjugate gradient-like methods is made through the numerical simulation of two and three dimensional turbulent flow fields with the finite volume method.
Rodi, Wolfgang, Kawahara, Yoshihisa
core
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
New conjugate gradient methods for solving large-scale unconstrained optimization problems
, 2013 Conjugate gradient methods hold an important role in unconstrained optimizations. Numerous recent studies and modifications have been aimed to improve these methods.
Mohd Rivaie Mohd Ali
core
Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay +15 more
wiley +1 more source
NUMERICAL AND CONVERGENCE ANALYSIS OF AN ENHANCED DAI-LIAO METHOD FOR UNCONSTRAINED OPTIMIZATION
BarekengIterative algorithms play an important role in mathematical optimization, particularly in solving large-scale unconstrained optimization problems. The conjugate gradient (CG) methods are widely used due to their low memory requirements and efficiency ...
Basim A. Hassan +2 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Methods Using data from a single center, we analyzed employment transitions, adjusted mean disease activity ...
Javier Mencia‐Ledo +4 more
wiley +1 more source
A study of hybrid conjugate gradient methods [PDF]
, 1989 The main subject of the research in this thesis is the study of conjugate gradient methods for optimization and the development of improved algorithms.
Djamal Touati-Ahmed (7158410)
core +1 more source
استحداث خوارزمیة للتدرج المترافق الطیفی لحل المسائل التصغیریة غیر المقیدة
Al-Rafidain Journal of Computer Sciences and Mathematics, 2012 Basim A. Hassan
doaj +1 more source
Engineering ReportsThis work suggests improved conjugate gradient methods for enhancing the efficiency and robustness of the classical conjugate gradient methods. The study modifies the diagonal of the inverse Hessian approximation of the Broyden–Fletcher–Goldfarb–Shanno ...
Lawal Muhammad +4 more
doaj +1 more source