Results 71 to 80 of about 25,818 (165)
This cross‐sectional study included individuals who took part in the NHANES from 2003 to 2018. Our results demonstrated that higher eGDR correlates with lower likelihood of depressive symptoms, with CMI acting as a mediator. Reducing insulin resistance and monitoring CMI could help decrease the occurrence of depression.
Mimi Li +6 more
wiley +1 more source
The Numerical Solution of Volterra Integral Equations
Recently we studied a collocation–quadrature method in weighted L2 spaces as well as in the space of continuous functions for a Volterra-like integral equation of the form u(x)−∫αx1h(x−αy)u(y)dy=f(x ...
Peter Junghanns
doaj +1 more source
The influence of multiple stressors on the spatial distribution of corals
Abstract Coral reef ecosystems are widely threatened by global change, yet the cumulative impacts of multiple interacting stressors remain difficult to quantify over space and time. We evaluate how long‐term artisanal fishing effort, blast fishing, human population density and marine protected areas (MPAs) interact with biophysical and seascape ...
Jennifer Coyle Selgrath +2 more
wiley +1 more source
An induction heating problem can be described by a parabolic differential equation. For this equation, specific Joule looses must be computed. It can be done by solving the Fredholm Integral Equation of the second kind for the eddy current of density ...
Rak Josef
doaj +1 more source
Multi-view Metric Learning in Vector-valued Kernel Spaces
We consider the problem of metric learning for multi-view data and present a novel method for learning within-view as well as between-view metrics in vector-valued kernel spaces, as a way to capture multi-modal structure of the data.
Capponi, Cécile +2 more
core
A symplectic explicit trigonometrically-fitted Runge-Kutta-Nyström method for the numerical solution of periodic problems [PDF]
In this paper, symplectic third-order three-stage explicit trigonometrically-fitted Runge-Kutta-Nyström (RKN) method for the numerical solution of second order initial value problems with periodic solutions is derived.
Demba, Musa A. +2 more
core
Online Learning in Idealized Ocean Gyres
Abstract Ocean turbulence parameterization has principally been based on process‐based approaches, seeking to embed physical principles so that coarser resolution calculations can capture the net influence of smaller scale unresolved processes. More recently there has been an increasing focus on the application of data‐driven approaches to this problem.
James R. Maddison
wiley +1 more source
Efficient Nyström-Based Unitary Single-Tone 2D DOA Estimation for URA Signals
We propose an efficient Nyström-based unitary subspace method for low-complexity two-dimensional (2D) direction-of-arrival (DOA) estimation in uniform rectangular array (URA) signal processing systems.
Liping Yuan, Ke Wang, Fengkai Luan
doaj +1 more source
Neural Operators for Continuous Bias Correction of Water Level Forecast Guidance
Abstract The National Oceanic and Atmospheric Administration's (NOAA) Global Two‐Dimensional Surge and Tide Operational Forecast System (STOFS‐2D‐Global) provides global operational tidal, subtidal, and total water level forecast guidance with a 7.5‐day horizon.
Atieh Alipour +10 more
wiley +1 more source
Multi-Nyström Method Based on Multiple Kernel Learning for Large Scale Imbalanced Classification. [PDF]
Wang L, Wang H, Fu G.
europepmc +1 more source

