Results 61 to 70 of about 397,898 (309)
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini +7 more
wiley +1 more source
Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression
The use of spectral features to estimate leaf area index (LAI) is generally considered a challenging task for hyperspectral data. In this study, the hyperspectral reflectance of winter wheat was selected to optimize the selection of spectral features and
Xinchuan Li +7 more
doaj +1 more source
Predicting the composition of red wine blends using an array of Multicomponent peptide-based sensors [PDF]
Differential sensing using synthetic receptors as mimics of the mammalian senses of taste and smell is a powerful approach for the analysis of complex mixtures.
Abdi +18 more
core +4 more sources
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin +12 more
wiley +1 more source
Partial Least Squares Regression
Citation: 'partial least squares regression' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10155 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms ...
R. Dennis Cook, Liliana Forzani
openaire +2 more sources
Quaternion Kernel Partial Least Squares Regression Algorithms
This work provides three quaternion kernel partial least squares (PLS) algorithms for linear and nonlinear regressions. Firstly, the problem of large ill-conditioned matrices is tackled and two specifically designed linear kernel algorithms are suggested.
José Domingo Jiménez-López +3 more
openaire +2 more sources
Classification of Hungarian medieval silver coins using x-ray fluorescent spectroscopy and multivariate data analysis [PDF]
A set of silver coins from the collection of Déri Museum Debrecen (Hungary) was examined by X-ray fluorescent elemental analysis with the aim to assign the coins to different groups with the best possible precision based on the acquired chemical ...
Elek, János +3 more
core +1 more source
Accelerated Progression of Gait Impairment in Parkinson's Disease and REM Sleep Without Atonia
ABSTRACT Objective People with Parkinson's disease (PD) and rapid eye movement (REM) sleep without atonia (RSWA) often have more severe gait disturbances compared to PD without RSWA. The association between the presence and expression of RSWA and the rate of progression of gait impairment in PD is unknown.
Sommer L. Amundsen‐Huffmaster +11 more
wiley +1 more source
Robust continuum regression. [PDF]
Several applications of continuum regression (CR) to non-contaminated data have shown that a significant improvement in predictive power can be obtained compared to the three standard techniques which it encompasses (ordinary least squares (OLS ...
Croux, Christophe +3 more
core +3 more sources
Implementing PLS for distance-based regression: computational issues [PDF]
Distance-based regression allows for a neat implementation of the Partial Least Squares recurrence. In this paper we address practical issues arising when dealing with moderately large datasets (n ~ 10^4) such as those typical of automobile insurance ...
Boj, Eva +3 more
core +1 more source

