Results 111 to 120 of about 516,450 (251)
Ghost effect from Boltzmann theory
Abstract Taking place naturally in a gas subject to a given wall temperature distribution, the “ghost effect” exhibits a rare kinetic effect beyond the prediction of classical fluid theory and Fourier law in such a classical problem in physics. As the Knudsen number ε$\varepsilon$ goes to zero, the finite variation of temperature in the bulk is ...
Raffaele Esposito +3 more
wiley +1 more source
To address high‐altitude power transmission challenges, a composite controller was developed to suppress strong wind interference, demonstrating the effectiveness of hierarchical control in complex dynamic systems. Hardware‐in‐the‐loop experiments verified the robustness of the control algorithm, providing methodological support for developing ...
Shaofeng Bai, Jun Zhong
wiley +1 more source
Massive Spanning Forests on the Complete Graph: Exact Distribution and Local Limit
ABSTRACT We provide new exact formulas for the distribution of massive spanning forests on the complete graph, which give also a new outlook on the celebrated special case of the uniform spanning tree. As a corollary we identify their local limit. This generalizes a well‐known theorem of Grimmett on the local limit of uniform spanning trees on the ...
Matteo D'Achille +2 more
wiley +1 more source
We investigate the existence and uniqueness of solutions to first-order Stieltjes differential problems, focusing on the role of the Stieltjes derivative and its kernel.
Francisco Fernández +3 more
doaj +1 more source
A Generalization Error Bound of Physics‐Informed Neural Networks for Ecological Diffusion Models
ABSTRACT Ecological diffusion equations (EDEs) are partial differential equations (PDEs) that model spatiotemporal dynamics, often applied to wildlife diseases. Derived from ecological mechanisms, EDEs are useful for forecasting, inference, and decision‐making, such as guiding surveillance strategies for wildlife diseases.
Juan Francisco Mandujano Reyes +4 more
wiley +1 more source
Model‐Free Local Partial Correlation
ABSTRACT In the simple linear regression context, partial correlation measures the linear association between two variables, with the linear effects of a third control variable removed. In this paper, we investigate the local partial correlation using a kernel smoothing approach.
Li‐Shan Huang +2 more
wiley +1 more source
Well-Posedness of Problems for the Heat Equation with a Fractional-Loaded Term and Memory
We investigate the Cauchy problem for a heat equation incorporating variable diffusion coefficients and fractional memory effects modeled by a separable convolution kernel.
Umida Baltaeva +3 more
doaj +1 more source
Estimation of Daily Smoking Prevalence for Disaggregated Statistical Areas in Australia
ABSTRACT Motivated by the need to estimate prevalence at multiple disaggregated level hierarchies, rather than only one, this study extends widely used area‐level models in Bayesian and frequentist framework. We propose adding additional unstructured random effects at higher level disaggregated domains to the traditional models. Using our extension, we
Sumonkanti Das +4 more
wiley +1 more source
This paper addresses the non-Gaussian filtering problem for nonlinear systems. An iterative updating center differential filter is designed under Cauchy kernel maximum correntropy, on the basis of the pseudo inverse mechanism.
Shaowu Wang, Yongjing Wang
doaj +1 more source
A singular operator with Cauchy kernel on the subspaces of weight Lebesgue space is considered. A sufficient condition for a bounded action of this operator from a subspace to another subspace of weight Lebesgue space of functions is found.
Tofig Isa Najafov, Saeed Farahani
doaj +1 more source

