Results 141 to 150 of about 11,417,388 (340)

CSF Cytokine Network Organization Predicts Progression Independent of Relapse and MRI Activity in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Progression independent of relapse activity is a major determinant of long‐term disability in multiple sclerosis, but its immunopathologic basis remains incompletely understood. We investigated whether relapse‐independent progression in radiologically stable relapsing–remitting multiple sclerosis is associated with distinct ...
Antonio Bruno   +19 more
wiley   +1 more source

A new Flap-top window FFT algorithm for energy metering based on quasi-synchronous sampling

open access: yesDiance yu yibiao
In order to further improve the accuracy of energy metering algorithms for standard electricity meters, this paper provides a comprehensive review of the principles and performance of quasi-synchronous sampling algorithms and fast Fourier transform (FFT)
ZHANG Zhiying   +5 more
doaj   +1 more source

Fast Algorithms for Geometric Consensuses.

open access: yesCoRR, 2019
Let P be a set of n points in ℝ^d in general position. A median hyperplane (roughly) splits the point set P in half. The yolk of P is the ball of smallest radius intersecting all median hyperplanes of P. The egg of P is the ball of smallest radius intersecting all hyperplanes which contain exactly d points of P.
Sariel Har-Peled, Mitchell Jones
openaire   +4 more sources

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella   +5 more
wiley   +1 more source

Fast Training Algorithms for Feed Forward Neural Networks

open access: yesIbn Al-Haitham Journal for Pure and Applied Sciences, 2017
 The aim of this paper, is to discuss several high performance training algorithms fall into two main categories. The first category uses heuristic techniques, which were developed from an analysis of the performance of the standard gradient descent ...
Luma N. M. Tawfiq, Yaseen A. Oraibi
doaj  

Rheumatoid Arthritis and Coronary Artery Calcium Progression: A Case Cohort Analysis From ELSA‐Brasil

open access: yesArthritis Care &Research, EarlyView.
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada   +7 more
wiley   +1 more source

Fast equality test for straight-line compressed strings [PDF]

open access: yes, 2011
The paper describes a simple and fast randomized test for equality of grammar-compressed strings. The thorough running time analysis is done by applying a logarithmic cost measure.
Schmidt-Schauß, Manfred   +1 more
core  

Video Segmentation Using Fast Marching and Region Growing Algorithms

open access: yesEURASIP Journal on Advances in Signal Processing, 2002
The algorithm presented in this paper is comprised of three main stages: (1) classification of the image sequence and, in the case of a moving camera, parametric motion estimation, (2) change detection having as reference a fixed frame, an appropriately ...
Eftychis Sifakis   +2 more
doaj   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

open access: yesArthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein   +3 more
wiley   +1 more source

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