Results 151 to 160 of about 1,583 (283)
Abstract figure legend In this study, we used mathematical modelling to explore the effect of diabetes on muscle mechanoenergetics. Our parameterisation of cross‐bridge models using data from non‐diabetic and diabetic human atrial tissues revealed lower values for cross‐bridge stiffness, detachment rates, attachment rates and lower ATP sensitivity in ...
Julia H. Musgrave+4 more
wiley +1 more source
Abstract We consider the global dynamics of finite energy solutions to energy‐critical equivariant harmonic map heat flow (HMHF) and radial nonlinear heat equation (NLH). It is known that any finite energy equivariant solutions to (HMHF) decompose into finitely many harmonic maps (bubbles) separated by scales and a body map, as approaching to the ...
Kihyun Kim, Frank Merle
wiley +1 more source
ABSTRACT The development of an in‐house accounting bot—an artificial intelligence (AI) assistant capable of generating internally structured bookkeeping double‐entry posting schemes—is explored in this paper. The processes of curating a suitable dataset, selecting, and fine‐tuning a seven‐billion‐parameter language model, categorized as a small ...
Mario Zupan
wiley +1 more source
Generic Quantum‐Safe IIoT Forensics Framework (QS‐IIoT‐F) ABSTRACT The continuous evolution of quantum computing has shown novel and transformative possibilities and critical implications for the Industrial Internet of Things (IIoT) forensic processes.
Victor R. Kebande
wiley +1 more source
Abstract Stemflow hydrodynamics is the study of water movement along the exterior surface area of plants. Its primary goal is to describe water velocity and water depth along the stem surface area. Its significance in enriching the rhizosphere with water and nutrients is not in dispute.
Gabriel G. Katul+3 more
wiley +1 more source
AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice
Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3‐part series, provides neurologists and neuroscientists with a foundational understanding of AI's key concepts, terminology, and applications.
Matthew Rizzo, Jeffrey D. Dawson
wiley +1 more source
Tensor products of complex L-spacses and convolution mesure algebras
Kari Ylinen
openalex +1 more source
Continuity of Homomorphisms and Derivations on Normed Algebras which Are Tensor Products of Algebras with Involution [PDF]
Ángel Rodríguez-Palacios+1 more
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Classification of prime modules of quantum affine algebras corresponding to 2-column tableaux. [PDF]
Early N, Li JR.
europepmc +1 more source
Analysis of density matrix embedding theory around the non‐interacting limit
Abstract This article provides the first mathematical analysis of the Density Matrix Embedding Theory (DMET) method. We prove that, under certain assumptions, (i) the exact ground‐state density matrix is a fixed‐point of the DMET map for non‐interacting systems, (ii) there exists a unique physical solution in the weakly‐interacting regime, and (iii ...
Eric Cancès+4 more
wiley +1 more source