Results 51 to 60 of about 19,413 (252)

1.School of Mathematics and Statistics, Nanjing University of Information Technology, Nanjing 210044, China; 2. School of Information Engineering, Nanjing Xiaozhuang University, Nanjing 211171, China)*-nil McCoy ring(*-诣零McCoy环)

open access: yesZhejiang Daxue xuebao. Lixue ban
We study the properties of McCoy rings with a doubly mapping, give some examples of this class rings, investigate their extensions and the *-nil McCoy property of *-skew polynomial rings.
王尧(WANG Yao)   +2 more
doaj   +1 more source

A Koszul complex over skew polynomial rings [PDF]

open access: yesCommunications in Algebra, 2019
We construct a Koszul complex in the category of left skew polynomial rings associated to a flat endomorphism that provides a finite free resolution of an ideal generated by a Koszul regular sequence.
Álvarez Montaner, Josep   +2 more
openaire   +5 more sources

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani   +3 more
wiley   +1 more source

On hilbert property of rings. [PDF]

open access: yes, 2011
In this paper, we study a Hilbert property with respect to the skew polynomial extensions. A property ∗ of a ring R is said to be the Hilbert property if its polynomial extension possesses the same property ∗
Pourtaherian, Hamideh   +2 more
core  

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Finite groups acting linearly: Hochschild cohomology and the cup product [PDF]

open access: yes, 2009
When a finite group acts linearly on a complex vector space, the natural semi-direct product of the group and the polynomial ring over the space forms a skew group algebra.
Shepler, Anne V., Witherspoon, Sarah
core   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Skew Polynomial Extensions over Zip Rings [PDF]

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2008
In this article, we study the relationship between left (right) zip property of R and skew polynomial extension over R, using the skew versions of Armendariz rings.
openaire   +3 more sources

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo   +3 more
wiley   +1 more source

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

open access: yesAdvanced Intelligent Systems, EarlyView.
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang   +6 more
wiley   +1 more source

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