Results 81 to 90 of about 993,426 (339)

Development and verification of covariance data generation module in NECP-Atlas

open access: yesHe jishu
BackgroundThe quantification of uncertainty has become a common requirement in reactor physics analysis whilst the covariance data of nuclear data serves as the foundational data for conducting uncertainty quantification.PurposeThis study aims to develop
HUANG Yihan   +3 more
doaj   +1 more source

Functional Principal Component Analysis for Non-stationary Dynamic Time Series [PDF]

open access: yes, 2018
Motivated by a highly dynamic hydrological high-frequency time series, we propose time-varying Functional Principal Component Analysis (FPCA) as a novel approach for the analysis of non-stationary Functional Time Series (FTS) in the frequency domain ...
Elayouty, Amira   +3 more
core  

Factors Driving Battery and Solar Purchase Decision of Residents: a Behavioural Choice Experiment Using a Hybrid Discrete Choice and Latent Variable Model

open access: yesAdvanced Sustainable Systems, EarlyView.
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour   +3 more
wiley   +1 more source

Sleep Alters the Velocity of Physiological Brain Pulsations in Humans

open access: yesAdvanced Science, EarlyView.
Sleep alters I/CSF oscillatory flow, driven by increased respiratory (29%) and vasomotor pulsation (21%) velocities, while cardiovascular pulsations decreased by (22%). Velocity is quantified using optical flow analysis of MREG data. Spectral power increases alongside these pulsations (spatial correlation, r = 0.35 and r = 0.39, respectively ...
Ahmed Elabasy   +13 more
wiley   +1 more source

Application of the covariance analysis by the “sliding window” method to assess the relationship of non-stationary time series

open access: yesЭкспериментальная психология
A covariance analysis method is described to solve the problem of estimating the dynamics of the relationship between two non-stationary time series, represented by behavioral and/or physiological data.
V.V. Apanovich, D.L. Gladilin
doaj   +1 more source

Covariance analysis of symmetry energy observables from heavy ion collision

open access: yesPhysics Letters B, 2015
Using covariance analysis, we quantify the correlations between the interaction parameters in a transport model and the observables commonly used to extract information of the Equation of State of Asymmetric Nuclear Matter in experiments.
Yingxun Zhang, M.B. Tsang, Zhuxia Li
doaj   +1 more source

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

open access: yesAdvanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng   +27 more
wiley   +1 more source

Exclusive Breastfeeding Drives AMPK‐Dependent Thermogenic Memory in BAT and Promotes Long‐Term Metabolic Benefits in Offspring

open access: yesAdvanced Science, EarlyView.
Exclusive breastfeeding establishes a thermogenic memory in brown adipose tissue by activating the HIF1AN/AMPK/α‐ketoglutarate axis via milk‐derived extracellular vesicles enriched in miR‐125a‐5p. This programming preserves metabolic health, while αKG supplementation restores BAT function under mixed feeding, offering strategies to mitigate the ...
Ningxi Wu   +13 more
wiley   +1 more source

Discriminant analysis of Gaussian spatial data with exponential covariance structure

open access: yesLietuvos Matematikos Rinkinys, 2005
This paper considers the discrimination of the observation of the stationary Gaussian random field belonging to one of two populations with different means and covariance functions.
Kęstutis Dučinskas
doaj   +1 more source

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