Results 11 to 20 of about 3,255,573 (367)

Analysis of biological spectrum of Divčibare flora [PDF]

open access: yesGlasnik Šumarskog Fakulteta: Univerzitet u Beogradu, 2006
One of the essential analyses which is performed during the floristic study of a region is the analysis of the biological spectrum. The analysis of the biological spectrum of the flora includes the determination of the type of life form for each taxon ...
Popović Ivana   +1 more
doaj   +3 more sources

Comparative analysis of group information-guided independent component analysis and independent vector analysis for assessing brain functional network characteristics in autism spectrum disorder [PDF]

open access: goldFrontiers in Neuroscience, 2023
IntroductionGroup information-guided independent component analysis (GIG-ICA) and independent vector analysis (IVA) are two methods that improve estimation of subject-specific independent components in neuroimaging studies.
Junlin Jing   +5 more
doaj   +2 more sources

A Functional Analysis of Sharing in Preschoolers with Autism Spectrum Disorder [PDF]

open access: gold, 2020
Individuals with autism spectrum disorder (ASD) demonstrate deficits in social behavior which may hinder them from engaging in social interactions. Results of descriptive analyses suggest that children who engage in prosocial behaviors, such as sharing, likely receive social positive reinforcement from peers in the form of attention.
Courtney Clubb
openalex   +3 more sources

Altered Resting-State Functional Activity in Patients With Autism Spectrum Disorder: A Quantitative Meta-Analysis

open access: yesFrontiers in Neurology, 2018
Background: There is accumulating evidence showing that patients with autism spectrum disorder (ASD) have obvious changes in resting-state functional brain activity. So far, there have been no meta-analyses of the resting-state brain activity alterations
Wenhui Wang   +9 more
doaj   +2 more sources

Altered Functional Connectivity in Children With Low-Function Autism Spectrum Disorders

open access: yesFrontiers in Neuroscience, 2019
Neuroimaging studies have shown that autism spectrum disorders (ASDs) may be associated with abnormalities in brain structures and functions at rest as well as during cognitive tasks.
Shoujun Xu   +18 more
doaj   +2 more sources

FUNCTIONAL ANALYSIS AND TREATMENT OF ARRANGING AND ORDERING BY INDIVIDUALS WITH AN AUTISM SPECTRUM DISORDER [PDF]

open access: bronzeJournal of Applied Behavior Analysis, 2012
Nicole M. Rodriguez   +3 more
openalex   +2 more sources

A Multi-Factorial Assessment of Functional Human Autistic Spectrum Brain Network Analysis

open access: green2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
The variability of the results obtained by the statistical analysis of functional human brain networks depend on multiple factors such as: the source of the fMRI data, the brain parcellations, the graph theory measures, and the threshold values applied to the functional connectivity matrices to obtain adjacency matrices of sparse graphs. Therefore, the
Oswaldo Artiles, Fahad Saeed
openalex   +4 more sources

Energy spectrum of some diatomic molecules using Nikiforov-Uvarov functional analysis [PDF]

open access: bronzePhysica Scripta
Abstract In this present work, the Nikiforov-Uvarov functional analysis is suggested to determine the solutions of the Schrodinger equation supported by different types of potentials and employing the Greene-Aldrich approximation. The objective was to estimate the energy spectrum of some diatomic molecules (CO, NO, N2, CH) by resolving ...
Khalid Reggab
openalex   +2 more sources

Rfssa: An R Package for Functional Singular Spectrum Analysis [PDF]

open access: diamondThe R Journal
Hossein Haghbin   +2 more
openalex   +2 more sources

Functional time series forecasting: Functional singular spectrum analysis approaches

open access: yesStat, 2023
AbstractWe introduce two novel nonparametric forecasting methods designed for functional time series (FTS), namely, functional singular spectrum analysis (FSSA) recurrent and vector forecasting. Our algorithms rely on extracted signals obtained from the FSSA method and innovative recurrence relations to make predictions. These techniques are model‐free,
Jordan Trinka   +3 more
openaire   +1 more source

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