Results 141 to 150 of about 1,329 (298)
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
Nil sets defined through generalized skew derivations having a Jordan-like behavior
Let R be a prime ring of characteristic different from [Formula: see text], C its extended centroid, F and G non-zero generalized skew derivations of R, associated with the same automorphism [Formula: see text] of R and [Formula: see text] a fixed ...
Francesco Ammendolia +1 more
doaj +1 more source
Commuting Jordan derivations over a Ring with idempotents
This paper explores the behaviour of commuting Jordan derivations over prime rings with non-trivial idempotents and demonstrates that they become zero maps.
Aziz, Sk., Prakash, Om, Ghosh, Arindam
core
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Action of derivations on polynomials and on Jacobian derivations
Let $\mathbb K$ be a field of characteristic zero, $A := \mathbb K[x_{1}, x_{2}]$ the polynomial ring and $W_2(\mathbb K)$ the Lie algebra of all $\mathbb K$-derivations on $A$. Every polynomial $f \in A$ defines a Jacobian derivation $D_f\in W_2(\mathbb
O.Ya. Kozachok, A.P. Petravchuk
doaj +1 more source
Nonlinear permuted Granger causality
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley +1 more source
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone +3 more
wiley +1 more source
Genetic Algebras Associated with ξ(a)-Quadratic Stochastic Operators. [PDF]
Mukhamedov F +3 more
europepmc +1 more source
ABSTRACT The circular economy is gaining traction as a transformative approach to address climate change and the shortcomings of the linear economic model, which is defined by unsustainable production and consumption patterns. This study explores the implementation of circularity principles in the Spanish automotive industry, with particular attention ...
Salvador Perez‐Canto +2 more
wiley +1 more source
ABSTRACT This study critically examines the role of relational capital (RC) in shaping the sustainable development of small and medium‐sized enterprises (SMEs). Although RC is widely recognised as a strategic resource, existing evidence remains fragmented, context‐dependent and theoretically underdeveloped.
Rana Kayyal, Ali Meftah Gerged
wiley +1 more source

