Results 31 to 40 of about 58,240 (249)

General Linear Methods for Time-Dependent PDEs

, 2018
The hybridized discontinuous Galerkin method has been successfully applied to time-dependent problems using implicit time integrators. These integrators stem from the ’classical’ class of backward differentiation formulae (BDF) and diagonally implicit
Jaust, Alexander, Jochen Schütz, Alexander Jaust, Schütz, Jochen   +3 more
core   +1 more source

The Finite Mode Predictor-Corrector Methods in the Framework of General Linear Methods

پژوهش‌های ریاضی, 2020
Introduction General linear methods(GLM) was developed by Butcher in 1966 as an extension of the traditional Runge-Kutta and linear multistep methods [1]. The classification of GLMs is an important open and active research area. Many authors studied GLMs
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doaj  

Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging.

PLoS ONE, 2019
Multivariate analysis methods have been widely applied to decode brain states from functional magnetic resonance imaging (fMRI) data. Among various multivariate analysis methods, partial least squares regression (PLSR) is often used to select relevant ...
Zhiying Long, Yubao Wang, Xuanping Liu, Li Yao   +3 more
doaj   +1 more source

A New SDIMSIM Methods with Optimized Region of Stability and Sustainable Development with Applications On Neutrosophic Data [PDF]

Neutrosophic Sets and Systems
General Linear Methods (GLMs) were introduced as logical extensions of the conventional Runge–Kutta and linear multistep methods. In the scenario when second derivatives, in addition to first derivatives, can be computed, a GLM modification known as ...
A.Y. J. Almasoodi, Mohammed Kadhim Mohsin, Sarah A.AL-Ameedee, Mohammed Amer Shanyoor   +3 more
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

A novel technique for delineating the effect of variation in the learning rate on the neural correlates of reward prediction errors in model-based fMRI

Frontiers in Psychology, 2023
IntroductionComputational models play an increasingly important role in describing variation in neural activation in human neuroimaging experiments, including evaluating individual differences in the context of psychiatric neuroimaging.
Henry W. Chase
doaj   +1 more source

Support‐Controlled Reaction Pathways via Dynamic Sulfur‐Mediated Interfaces for Selective Urea Electrolysis

Advanced Functional Materials, EarlyView.
Sulfur‐doped graphitized carbon nanofibers act as adaptive catalyst–support platforms, enabling dynamic sulfur‐mediated reconstruction and strong metal–support interactions. This unique behavior enhances catalyst stability and controls reaction pathways, achieving highly selective urea oxidation (∼92% N2) coupled with efficient hydrogen evolution ...
Melanie Guillén‐Soler, Lucía Vizcaíno‐Anaya, Ahmad Tayyebi, José Manuel Vila‐Fungueiriño, María del Carmen Giménez‐López   +4 more
wiley   +1 more source

Extensions of the General Linear Model into Methods within Partial Least Squares Structural Equation Modeling [PDF]

, 2016
The current generation of structural equation modeling (SEM) is loosely split in two divergent groups - covariance-based and variance-based structural equation modeling. The relative newness of variance-based SEM has limited the development of techniques
George, Benjamin Thomas
core   +1 more source

POM‐Based Water Splitting Catalyst Under Acid Conditions Driven by Its Assembly on Carbon Nanotubes

Advanced Materials, EarlyView.
A newly‐engineered POM‐based electrocatalyst incorporating non‐innocent counter cations exhibits fast kinetics for either the OER or HER under strongly acidic conditions (1 m H2SO4), depending on whether it is assembled on carbon nanotubes (1@CNT) or physically mixed with them (1/CNT). In water‐splitting tests using a two‐electrode setup, these systems
Eugenia P. Quirós‐Díez, Melanie Guillén‐Soler, Carlos Herreros‐Lucas, Alejandro López‐Moreno, José Manuel Vila‐Fungueiriño, Antonio Luis Llamas‐Saiz, Karol Strutyński, Manuel Melle‐Franco, María del Carmen Giménez‐López   +8 more
wiley   +1 more source

Pattern of cortical thinning in logopenic progressive aphasia patients in Thailand

BMC Neurology, 2021
Background Logopenic progressive aphasia (LPA) is an uncommon neurodegenerative disorder primarily characterized by word-finding difficulties and sentence repetition impairment.
Sekh Thanprasertsuk, Yuttachai Likitjaroen   +1 more
doaj   +1 more source