Results 131 to 140 of about 11,417,388 (340)

Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study assessed whether upper cervical cord area (UCCA) measured on routine brain MRI can serve as a biomarker of conversion to SPMS. Methods This is a single‐center retrospective cohort study of RRMS patients with cross‐sectional and longitudinal analyses of clinical and MRI data. Future SPMS converters were matched by age, sex,
Nabil K. El Ayoubi   +8 more
wiley   +1 more source

An ergodicity result for adaptive Langevin algorithms [PDF]

open access: yes, 2009
We consider a class of adaptive MCMC algorithms using a Langevin-type proposal density. We prove that these are algorithms are ergodic when the target density has exponential tail behaviour.
Marshall, Tristan, Roberts, Gareth O.
core  

Fast spherical Fourier algorithms

open access: yesJournal of Computational and Applied Mathematics, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kunis, Stefan, Potts, Daniel
openaire   +2 more sources

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu   +7 more
wiley   +1 more source

Computing the fast Fourier transform on SIMD microprocessors [PDF]

open access: yes, 2012
This thesis describes how to compute the fast Fourier transform (FFT) of a power-of-two length signal on single-instruction, multiple-data (SIMD) microprocessors faster than or very close to the speed of state of the art libraries such as FFTW (“Fastest ...
Blake, Anthony Martin
core  

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals 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

Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy

open access: yesAnnals 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

Fast Optimization by Demon Algorithms [PDF]

open access: yes, 1998
We introduce four new general optimization algorithms based on the `demon' algorithm from statistical physics and the simulated annealing (SA) optimization method.
Ian Wood   +3 more
core  

Recombination and Self-Adaptation in Multi-objective Genetic Algorithms [PDF]

open access: yes, 2004
This paper investigates the influence of recombination and self-adaptation in real-encoded Multi-Objective Genetic Algorithms (MOGAs). NSGA-II and SPEA2 are used as example to characterize the efficiency of MOGAs in relation to various recombination ...
Régnier, Jérémi   +5 more
core   +1 more source

Fast numerical algorithms for solving opposite-bordered tridiagonal Toeplitz linear systems and their applications

open access: yesResults in Applied Mathematics
This paper presents two fast numerical algorithms for solving opposite-bordered tridiagonal Toeplitz linear systems. Both algorithms are designed to solve a system of n equations in linear time.
Hcini Fahd
doaj   +1 more source

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