Results 1 to 10 of about 705 (114)

Dimensionality reduction of COSMO-RS molecular descriptor using functional principal component analysis (FPCA) for organic solvent mapping [PDF]

open access: yesRSC Advances
Methodology for the generation of the σ-potential FPCA mapping.
Luis Eduardo Ramirez Cardenas   +4 more
openaire   +3 more sources

Lower-limb surface electromyographic differences in roundhouse kicks between elite and sub-elite taekwondo athletes: a functional principal component analysis [PDF]

open access: yesFrontiers in Physiology
PurposeThis study aimed to investigate the functional characteristics and distinctions in lower-limb electromyography (EMG) time-series data during roundhouse kicks performed by elite (n = 10) and sub-elite (n = 10) Taekwondo athletes, using Functional ...
Jianbo Sun   +4 more
doaj   +2 more sources

New Modeling Approaches Based on Varimax Rotation of Functional Principal Components

open access: yesMathematics, 2020
Functional Principal Component Analysis (FPCA) is an important dimension reduction technique to interpret the main modes of functional data variation in terms of a small set of uncorrelated variables.
Christian Acal   +2 more
doaj   +3 more sources

Predicting progressive vision loss in glaucoma patients using functional principal component analysis and electronic health records [PDF]

open access: yesFrontiers in Ophthalmology
BackgroundGlaucoma is a leading cause of irreversible blindness worldwide. Predicting a patient’s future clinical trajectory would help physicians personalize management. We present a novel approach for predicting patient visual field (VF) progression by
Rithvik Krishna Donnipadu   +4 more
doaj   +2 more sources

A Novel Longitudinal Proteomic Aging Index Predicts Mortality, Multimorbidity, and Frailty in Older Adults. [PDF]

open access: yesAging Cell
We used proteomic data from three longitudinal visits in the ARIC study to construct a single longitudinal proteomic aging index (LPAI) that captures both cumulative aging burden and dynamic aging trajectories. Higher LPAI was associated with increased risks of mortality, frailty, and multimorbidity.
Rao Z   +14 more
europepmc   +2 more sources

Phenological Variation and Evolution Across Space and Time in the Scarlet Monkeyflower (<i>Erythranthe cardinalis</i>). [PDF]

open access: yesEcol Evol
Climate change is altering ecological dynamics, particularly in species with latitudinal range variation. This study investigates how the scarlet monkeyflower's flowering phenology has evolved in response to recent droughts in California. We find that southern populations are flowering later and larger, while northern populations flower earlier and ...
Waits J   +5 more
europepmc   +2 more sources

Analysis of the regional differences between fixed assets investment and China's economic growth from the perspective of functional data [PDF]

open access: yesMATEC Web of Conferences, 2021
Investment, consumption and export are the troika which promotes China's economic development. Investment is the most important factor and plays a vital role to drive economic growth.
Cheng Tianqi   +3 more
doaj   +1 more source

Optimal Estimation of Large Functional and Longitudinal Data by Using Functional Linear Mixed Model

open access: yesMathematics, 2022
The estimation of large functional and longitudinal data, which refers to the estimation of mean function, estimation of covariance function, and prediction of individual trajectory, is one of the most challenging problems in the field of high ...
Mengfei Ran, Yihe Yang
doaj   +1 more source

Application of Functional Principal Component Analysis in the Spatiotemporal Land-Use Regression Modeling of PM2.5

open access: yesAtmosphere, 2023
Functional data are generally curves indexed over a time domain, and land-use regression (LUR) is a promising spatial technique for generating high-resolution spatial estimation of retrospective long-term air pollutants.
Mahmood Taghavi   +6 more
doaj   +1 more source

Power transformer oil–paper insulation degradation modelling and prediction method based on functional principal component analysis

open access: yesIET Science, Measurement & Technology, 2022
This study is for the case where the available data of power transformer oil–paper insulation is limited to a small amount furfural data, to solve the problems in oil–paper insulation degradation modelling, such as few samples available, unknown function
Yuehan Qu   +4 more
doaj   +1 more source

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