Results 41 to 50 of about 16,629 (155)

Separation of Chromatographic Co-Eluted Compounds by Clustering and by Functional Data Analysis

Metabolites, 2021
Peak overlapping is a common problem in chromatography, mainly in the case of complex biological mixtures, i.e., metabolites. Due to the existence of the phenomenon of co-elution of different compounds with similar chromatographic properties, peak ...
Aneta Sawikowska, Anna Piasecka, Piotr Kachlicki, Paweł Krajewski   +3 more
doaj   +1 more source

Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data [PDF]

Statistics in Medicine
Analyzing longitudinal data in health studies is challenging due to sparse and error‐prone measurements, strong within‐individual correlation, missing data and various trajectory shapes. While mixed‐effect models (MM) effectively address these challenges,
Corentin S'egalas, Catherine Helmer, R. Genuer, Cécile Proust-Lima   +3 more
semanticscholar   +1 more source

Robust Functional Principal Component Analysis via A Functional Pairwise Spatial Sign Operator

Biometrics, 2022
Functional principal component analysis (FPCA) has been widely used to capture major modes of variation and reduce dimensions in functional data analysis.
Guangxing Wang, Sisheng Liu, Fang Han, Chong-Zhi Di   +3 more
semanticscholar   +1 more source

Multivariate Functional Kernel Machine Regression and Sparse Functional Feature Selection

Entropy, 2022
Motivated by mobile devices that record data at a high frequency, we propose a new methodological framework for analyzing a semi-parametric regression model that allow us to study a nonlinear relationship between a scalar response and multiple functional
Joseph Naiman, Peter Xuekun Song
doaj   +1 more source

Functional Data Analysis in Sport Science: Example of Swimmers’ Progression Curves Clustering

Applied Sciences, 2018
Many data collected in sport science come from time dependent phenomenon. This article focuses on Functional Data Analysis (FDA), which study longitudinal data by modelling them as continuous functions.
Arthur Leroy, Andy MARC, Olivier DUPAS, Jean Lionel REY, Servane Gey   +4 more
doaj   +1 more source

Integrating Functional Principal Component Analysis with Generalized Regression Neural Networks for Enhanced Forecasting of New Energy Vehicle Market Trends

Scientific and Social Research
With the rapid development of the new energy vehicle (NEV) industry, it has become a critical component of modern productivity, offering immense potential for economic growth and environmental benefits.
Long Chen, Y. Wang, Qian-xi Cheng, S. Shen, Ying Wang   +4 more
semanticscholar   +1 more source

The Distributional Effects of Economic Uncertainty*

International Economic Review, EarlyView.
ABSTRACT We study the distributional implications of uncertainty shocks by developing a model that links macroeconomic aggregates to the US distribution of earnings and consumption. Our findings suggest that the fraction of low‐earning workers decreases initially, while the share of households reporting low consumption increases.
Florian Huber, Massimiliano Marcellino, Tommaso Tornese   +2 more
wiley   +1 more source

A multi-stage modelling framework for accurate early-life SoH and EOL prediction [PDF]

EES Batteries
Accurate estimation of the State of Health (SOH) of lithium-ion batteries is essential to ensure their reliable performance and operational safety. This study integrates functional principal component analysis (FPCA) of incremental capacity (ICA) curves ...
Ahmed Abdelrahman, Jie Liu
doaj   +1 more source

Ages at peak height velocity in male soccer players 11–16 years: relationships with skeletal age and comparisons among longitudinal studies

Biology of Sport, 2023
Estimated ages at take-off (TO) and at peak height velocity (PHV) based on two models and maturity status based upon age at PHV and skeletal age (SA) were compared in a longitudinal sample of male soccer players.
Robert Malina, Miroslav Králík, Sławomir M. Kozieł, Sean Cumming, Jan Konarski, Paulo Sousa-e-Silva, Diogo Martinho, Antonio J. Figueiredo, Manuel Coelho-e-Silva   +8 more
doaj   +1 more source

Extracellular Matrix Remodeling in Actinic Cheilitis and Lip Squamous Cell Carcinoma: A Cross‐Sectional Study

Oral Diseases, EarlyView.
ABSTRACT Background Actinic cheilitis is a precursor to lip squamous cell carcinoma. How ultraviolet‐induced stromal degeneration relates to invasion‐related extracellular matrix markers remains unclear. This study investigated basophilic degeneration of collagen, solar elastosis, fibronectin, tenascin‐C, and podoplanin in both lesions.
Caroline Alfaia‐Silva, Polyane Caroline Arruda de Farias, Fernanda de Mello da Silva, Lidiane de Paula Ribeiro, Ericles de Paiva Vieira, Elena Riet Correa Rivero, Filipe Modolo   +6 more
wiley   +1 more source