Results 61 to 70 of about 642,965 (224)
From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization
ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez +6 more
wiley +1 more source
ABSTRACT Climate mitigation policies in the Brazilian Legal Amazon have largely focused on aggregate or net emissions, providing limited evidence on how gross agricultural emissions reveal the intensity of productive emission sources independently of carbon removals.
Jorge Eduardo Macedo Simões +4 more
wiley +1 more source
In this paper, we study sums of finite products of Chebyshev polynomials of the first kind and Lucas polynomials and represent each of them in terms of Chebyshev polynomials of all kinds.
Taekyun Kim +3 more
doaj +1 more source
Spatially realistic dynamic N‐mixture models
Abstract Dispersal is a complex ecological process that can be driven by the abiotic environment, density‐dependent processes and species mobility. Traditionally, dispersal has been studied with capture‐based data that are often limited in space and time. More recently, spatial dynamic N‐mixture models (i.e.
Qing Zhao +5 more
wiley +1 more source
Abstract Aims The aim of this study was to identify longitudinal trajectories of medication for opioid use disorder (MOUD) use throughout 1 year following MOUD initiation and to examine the association of trajectory membership with HIV testing among people who inject drugs in India.
Allison M. McFall +8 more
wiley +1 more source
This work employs newly shifted Lucas polynomials to approximate solutions to the time-fractional Fitzhugh–Nagumo differential equation (TFFNDE) relevant to neuroscience.
Waleed Mohamed Abd-Elhameed +2 more
doaj +1 more source
An extension of the basic local independence model to multiple observed classifications
Abstract The basic local independence model (BLIM) is appropriate in situations where populations do not differ in the probabilities of the knowledge states and the probabilities of careless errors and lucky guesses of the items. In some situations, this is not the case. This work introduces the multiple observed classification local independence model
Pasquale Anselmi +8 more
wiley +1 more source
In this paper, we investigate sums of finite products of Chebyshev polynomials of the first kind and those of Lucas polynomials. We express each of them as linear combinations of Hermite, extended Laguerre, Legendre, Gegenbauer, and Jacobi polynomials ...
Taekyun Kim +3 more
doaj +1 more source
ABSTRACT Which candidates benefit from corruption and favoritism in public procurement? While existing studies show that politically connected firms profit from corruption risks in public procurement, we know less about whether these risks also increase the prevalence of political candidates with ties to business.
Saverio Di Giorno +2 more
wiley +1 more source
In this study, the numerical solution of the Volterra-integro differential equations was obtained by applying the variational iteration strategy with the shifted Vieta-Lucas polynomials. The proposed method builds the shifted Vieta-Lucas polynomials for
IKECHUKWU OTAIDE +2 more
doaj +1 more source

