Results 41 to 50 of about 8,010 (140)
Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
The Anatomical Record, EarlyView.Abstract The human mandibular symphysis concentrates multiaxial loads during function and remodels throughout growth, but the precise mechanisms underlying cortical bone shape during growth remain relatively unexplored. Approaches based solely on thickness or external cortical contours provide only partial insights and do not capture the functional ...
Ana Ribeiro +3 more
wiley +1 more source
ESC Heart Failure, Volume 12, Issue 2, Page 1141-1150, April 2025.Abstract Background Arterial stiffness is a crucial factor in determining an increase in systolic blood pressure and pulse pressure and can also predict the development of cardiovascular disease (CVD). The purpose of this study was to examine the relationship between arterial stiffness and future CVD.
Susan Darroudi +10 more
wiley +1 more source
On the Relationship Between Determinate and MSV Solutions in Linear RE Models [PDF]
This paper considers the possibility that, in linear rational expectations (RE) models, all determinate (uniquely non-explosive) solutions coincide with the minimum state variable (MSV) solution, which is unique by construction.
Bennett McCallum
core +3 more sources
A general approach to posterior contraction in nonparametric inverse problems
, 2017 In this paper we propose a general method to derive an upper bound for the contraction rate of the posterior distribution for nonparametric inverse problems.
Knapik, Bartek, Salomond, Jean-Bernard
core +5 more sources
Intraday Functional PCA Forecasting of Cryptocurrency Returns
Journal of Forecasting, EarlyView.ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley +1 more source
Boundary Value ProblemsMultiquadric quasi-interpolation is an efficient high-dimensional approximation algorithm. It can directly obtain the approximation term and its derivatives without solving any large-scale linear equations.
Ruifeng Wu
doaj +1 more source
Neurourology and Urodynamics, EarlyView.ABSTRACT Introduction Maintenance of bladder filling and urinary storage at low intravesical pressures is fundamental to minimizing risk to the upper urinary tract. Bladder compliance describes the relationship between the bladder volume and the change in detrusor pressure during the filling phase of urodynamics.
Eric Rovner +5 more
wiley +1 more source
A multivariate variational objective analysis-assimilation method. Part 2: Case study results with and without satellite data [PDF]
The variational multivariate assimilation method described in a companion paper by Achtemeier and Ochs is applied to conventional and conventional plus satellite data.
Achtemeier, Gary L. +2 more
core +1 more source