Results 61 to 70 of about 13,362,899 (320)
ALGEBRAIC QUANTUM PERMUTATION GROUPS [PDF]
We discuss some algebraic aspects of quantum permutation groups, working over arbitrary fields. If đ is any characteristic zero field, we show that there exists a universal cosemisimple Hopf algebra coacting on the diagonal algebra đn: this is a refinement of Wang's universality theorem for the (compact) quantum permutation group.
openaire +4 more sources
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of realâworld data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, GuoâWei Wei
wiley +1 more source
A Tauberian Group Algebra [PDF]
Let G be the group of real matrices \[ ( x , y ) = ( e x
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Skew group algebras, invariants and Weyl Algebras [PDF]
The aim of this paper is two fold: First to study finite groups $G$ of automorphisms of the homogenized Weyl algebra $B_{n}$, the skew group algebra $B_{n}\ast G$, the ring of invariants $B_{n}^{G}$, and the relations of these algebras with the Weyl ...
Martinez-Villa, Roberto +1 more
core
Irreducible representations of nilpotent groups generate classifiable C*-algebras
We show that C*-algebras generated by irreducible representations of finitely generated nilpotent groups satisfy the universal coefficient theorem of Rosenberg and Schochet.
Eckhardt, Caleb, Gillaspy, Elizabeth
core +1 more source
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidenceâbased insights for treatment planning ...
Jubair Ahmed +3 more
wiley +1 more source
Review of Memristors for InâMemory Computing and Spiking Neural Networks
Memristors uniquely enable energyâefficient, brainâinspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Abstract This study explored the validity of person judgements by targets and their acquaintances (âinformantsâ) in longitudinally predicting a broad range of psychologically meaningful life experiences. Judgements were gathered from four sources (targets, NÂ =Â 189; and three types of informants, NÂ =Â 1352), and their relative predictive validity was ...
Nele M. Wessels +3 more
wiley +1 more source
ABSTRACT In this study, the actual route of methylene blue (MB) dye adsorption by using fabricated polyfunctional activated carbonâcopper oxide nanowires (AC@CuOâNWs) from bulky wastewater bodies has been investigated. To better understand the exact pathway of the adsorption process, a prominent statistical physics formalism or grand canonical ...
Abdellatif Sakly +7 more
wiley +1 more source
An efficient deep learning model for brain tumour detection with privacy preservation
Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cuttingâedge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source

