Results 221 to 230 of about 799,975 (268)

Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang, Dongxu Zhang, Dongyuan Liu, Da Lin, Hao Wang   +4 more
wiley   +1 more source

A Two‐Stage Questionnaire and Actigraphy Screening for iRBD in a Multicenter Retrospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Isolated rapid‐eye‐movement sleep behavior disorder is a prodromal marker of synucleinopathies. However, most cases remain undiagnosed due to the insufficient predictive value of questionnaires and limited access to confirmatory video‐polysomnography. We assessed a two‐stage screening strategy combining a brief questionnaire on rapid‐
Caleb A. Massimi, Giorgio Ricciardiello Mejia, Andre Metzger, Kang Hyun Ryu, Salonee Marwaha, Eva Grzegorczyk, Li Zhou, Eliana Jacobs, Boris Gilyadov, Claudia Kunney, Liqhwa Ncube, Ankit Parekh, Emmanuel Mignot, Fanny M. Elahi, Joseph Winer, Kathleen Poston, Andreas Brink‐Kjaer, Emmanuel H. During   +17 more
wiley   +1 more source

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay, Cassandre Landes‐Château, Lydiane Mondot, Mikael Cohen, Margherita Popolo, Jérôme de Seze, Bertrand Bourre, Françoise Durand‐Dubief, Olivier Casez, Orhun H. Kantarci, Aksel Siva, Stephanie Baillif, Darin T. Okuda, Letizia Leocani   +13 more
wiley   +1 more source

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A SIMPLE METHOD FOR OPTIMIZATION

Kybernetes, 1983
Many biological systems give rise to optimization problems (for instance, when we have to identify the model or control of the system). Here, we propose a very simple method to find the extremum of a n‐variables function. This technique leads to the optimization of a one‐variable function.
Cherruault, Y., Guillez, A.
openaire   +1 more source

Sequential Optimization Methods

2009
Although controller devices highly improve the seismic performance of civil structures, they usually incur enormous financial costs. A variety of sequential methods for minimizing the cost function have been proposed in the literature. In most of these methods, the control system is optimally designed after the best structural configuration is provided.
Dejaegher, Bieke, Yvan, Vander Heyden
openaire   +2 more sources

Multilevel Optimized Schwarz Methods

SIAM Journal on Scientific Computing, 2020
This paper defines a two-level optimized Schwarz method (OSM) for elliptic partial differential equations, which solves the coarse space problem on a coarse mesh. A local mode convergence analysis is given both for overlapping and nonoverlapping decompositions, which also suggests how to choose the optimized transmission conditions.
Gander, Martin Jakob, Vanzan, Tommaso
openaire   +3 more sources

An Optimal Scaling Method

IEEE Transactions on Systems, Man, and Cybernetics, 1987
Many areas of systems deal with sets of nonlinear functions that can be handled more effectively if proper scaling is performed. When working with m functions and n variables, (m + n) scaling factors are used. A variety of approaches to scaling are reviewed. A method for establishing a scaling array for nonlinear functions is given.
openaire   +1 more source

The Optimality of the Centroid Method

Psychometrika, 2003
The aim of this note is to show that the centroid method has two optimality properties. It yields loadings with the highest sum of absolute values, even in absence of the constraint that the squared component weights be equal. In addition, it yields scores with maximum variance, subject to the constraint that none of the squared component weights be ...
openaire   +2 more sources

Optimality conditions and optimization methods for quartic polynomial optimization

Applied Mathematics and Computation, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhiyou Wu, Jing Tian, Jing Quan, Julien Ugon   +3 more
openaire   +2 more sources

On a Method of Global Optimization

2003
The usual optimization problem, in eventually introducing some further new variables, may be put in the following form: Optimization Problem O.
openaire   +1 more source