Results 31 to 40 of about 300,116 (259)

Why live recording sounds better: A case study of Schumann’s Träumerei

open access: yesFrontiers in Psychology, 2015
We explore the concept that artists perform best in front of an audience. The negative effects of performance anxiety are much better known than their related cousin on the other shoulder: the positive effects of social facilitation.
Haruka eShoda   +2 more
doaj   +1 more source

Functional principal component analysis of spatially correlated data [PDF]

open access: yesStatistics and Computing, 2016
This paper focuses on the analysis of spatially correlated functional data. The between-curve correlation is modeled by correlating functional principal component scores of the functional data. We propose a Spatial Principal Analysis by Conditional Expectation framework to explicitly estimate spatial correlations and reconstruct individual curves. This
Chong Liu, Surajit Ray, Giles Hooker
openaire   +4 more sources

Análisis de componentes principales funcionales en series de tiempo económicas (Analysis of principal functional components in economic time series)

open access: yesGECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, 2015
Spanis abstract. El análisis de datos funcionales ha cobrado gran relevancia en los últimos años, convirtiéndose en un importante campo de investigación en la Estadística.
Cristina O. Chávez Chong   +2 more
doaj   +4 more sources

Evaluation and Numerical Simulation of Music Education Informationization Based on the Local Linear Regression Method

open access: yesComplexity, 2021
The study of this theoretical problem enables sparse or dense functional data, including educational information evaluation data. The choice of different weights is subjected to principal component analysis.
Jiping Liu
doaj   +1 more source

Anatomically compliant modes of variations: New tools for brain connectivity.

open access: yesPLoS ONE, 2023
Anatomical complexity and data dimensionality present major issues when analysing brain connectivity data. The functional and anatomical aspects of the connections taking place in the brain are in fact equally relevant and strongly intertwined.
Letizia Clementi   +5 more
doaj   +1 more source

MULTIVARIATE MODELLING OF THE IMMUNE STATUS IN DETECTION OF SECONDARY IMMUNODEFICIENCY AND THE ALLERGY

open access: yesМедицинская иммунология, 2017
Immune status of healthy people, patients with secondary immunodeficiency and allergic diseases is assessed. To reduce the number of characteristics of immunity (23 indicators) to a number of the generalizing factors the multivariate analysis is used ...
E. G. Kuzmina, S. V. Zatsarenko
doaj   +1 more source

Genetic diversity and breed-informative SNPs identification in domestic pig populations using coding SNPs

open access: yesFrontiers in Genetics, 2023
Background: The use of breed-informative genetic markers, specifically coding Single Nucleotide Polymorphisms (SNPs), is crucial for breed traceability, authentication of meat and dairy products, and the preservation and improvement of pig breeds.
Ichrak Hayah   +7 more
doaj   +1 more source

Motor Imagery Decoding Enhancement Based on Hybrid EEG-fNIRS Signals

open access: yesIEEE Access, 2023
This study explores the combination of electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) to enhance the decoding performance of motor imagery (MI) tasks for brain-computer interface (BCI).
Tao Xu   +6 more
doaj   +1 more source

Cup‐Like Nuclei Is a Hallmark of DUX4/ERG Acute Lymphoblastic Leukemia and Reveals Cytoplasmic Mitochondria Accumulation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille   +9 more
wiley   +1 more source

Outlier Curve Detection in Functional Data Using Robust FPCA

open access: yesMathematics
We propose a robust method for outlier detection in functional data analysis. This approach uses the robust Minimum Covariance Determinant estimator to compute the Mahalanobis distance applied to functional principal component scores.
Wilson Pérez-Rocano   +2 more
doaj   +1 more source

Home - About - Disclaimer - Privacy