Results 91 to 100 of about 79,087 (306)
We present a compatible finite‐element discretisation of a general formulation of moist shallow‐water equations, with the aim of providing a simple model to advance understanding of physics–dynamics coupling. We detail set‐ups and show three moist shallow‐water test cases in four different model formulations. The results demonstrate differences between
Nell Hartney +2 more
wiley +1 more source
On the $$D_{\omega }$$-Classical Orthogonal Polynomials
We wish to investigate the $D_{\omega}$-classical orthogonal polynomials, where $D_{\omega}$ is a special case of the Hahn operator. For this purpose, we consider the problem of finding all sequences of orthogonal polynomials such that their $D_{\omega}$-derivatives are also orthogonal polynomials. To solve this problem we adopt a different approach to
openaire +3 more sources
Unveiling Hidden Features of Strongly Correlated Quantum Systems Through a Complex‐Network Analysis
By applying complex network theory, we report a fundamental and previously unobserved phenomenon in the finite‐size Kitaev model: a singular point at which uniform, nonzero entanglement emerges among all fermion pairs, forming a complete entanglement network.
Guillem Llodrà +2 more
wiley +1 more source
A Probablistic Origin for a New Class of Bivariate Polynomials
We present here a probabilistic approach to the generation of new polynomials in two discrete variables. This extends our earlier work on the 'classical' orthogonal polynomials in a previously unexplored direction, resulting in the discovery of an ...
Michael R. Hoare, Mizan Rahman
doaj +1 more source
An note on the maximization of matrix valued Hankel determinants with application [PDF]
In this note we consider the problem of maximizing the determinant of moment matrices of matrix measures. The maximizing matrix measure can be characterized explicitly by having equal (matrix valued) weights at the zeros of classical (one dimensional ...
Dette, Holger, Studden, W. J.
core
Applications of Artificial Intelligence in Neurological Voice Disorders
ABSTRACT Neurological voice disorders, such as Parkinson's disease, laryngeal dystonia, and stroke‐induced dysarthria, significantly impact speech production and communication. Traditional diagnostic methods rely on subjective assessment, whereas artificial intelligence (AI) offers objective, noninvasive, and scalable solutions for voice analysis. This
Dongren Yao +2 more
wiley +1 more source
A Survey on Reinforcement Learning for Optimal Decision‐Making and Control of Intelligent Vehicles
ABSTRACT Reinforcement learning (RL) has been widely studied as an efficient class of machine learning methods for adaptive optimal control under uncertainties. In recent years, the applications of RL in optimised decision‐making and motion control of intelligent vehicles have received increasing attention.
Yixing Lan +5 more
wiley +1 more source
The Electoral Coalition of the Radical Right in Western Europe
ABSTRACT While most research on the radical right attempts to identify the one central voting motive among its supporters, few studies have sought to differentiate between different types of voters. Given this research gap, we assume that there are multiple paths to the radical right and that different groups have different motives for their support ...
Florian Buchmayr
wiley +1 more source
Effects of Aerobic and Strength‐Based Exercise on Consumer Preference for Protein
ABSTRACT The role of protein consumption in adaptations to physical exercise is well documented in prior research. However, little is known about how physical exercise and associated protein needs impact consumers’ protein demand. This study pairs matching methods with discrete choice experiments to estimate the impacts of physical exercise on ...
Justin D. Bina
wiley +1 more source

