Results 121 to 130 of about 3,573,561 (343)
The classification of limits of 2n-cycle algebras
We obtain a complete classification of the locally finite algebras and the operator algebras, given as algebraic inductive limits and Banach algebraic inductive limits respectively, of direct systems: A_1 contained in A_2 contained in A_3 and so on. Here the A_k are 2n-cycle algebras, where n is at least 3 and the inclusions are of rigid type.
Donsig, Allan P., Power, S. C.
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A model for blend electrodes is developed, parameterized, and validated using experimental data from a SiOx/Gr electrode. The model provides information about local states, such as the degree of lithiation or material‐specific C‐rates, distinguishing between the two active materials.
Maximilian Schamel+3 more
wiley +1 more source
Memory gate (MG) hypothesis assumes a neural structure that connects inputs to appropriate contexts. Panel A shows an input (green) that, in the MG, does not match the context (red): memory does not recognize it. Panel B shows that, in the MG, the context (green) matches the input: memory recognizes the pattern.
Eduardo Mizraji, Juan Lin, Andrés Pomi
wiley +1 more source
On the use of algebraic topology concepts to check the consistency of genome assembly
This paper presents a preliminary work consisting of two contributions. The first one is the design of a very efficient algorithm based on an “Overlap-Layout-Consensus” (OLC) graph to assemble the long reads provided by 3rd generation technologies.
Jean-François Gibrat
doaj +1 more source
Algebraic cycles and the Lie algebra of mixed Tate motives [PDF]
The purpose of this note is to suggest a candidate for the category 5' X5T4 of mixed Tate motives (0& Q) over a field F. We will define a graded pro-Lie algebra ' = I D 2 E * * * defined over Q and depending on F. X%>5~# will be the category of f.d. graded Q-representations of 2.
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To handle nonlinearity and feature coupling, a data‐driven aging model is proposed, employing dual Gaussian Process Regressions and transfer learning to enhance model efficiency and accuracy. Adaptive filtering refines the model by integrating aging features and output capacity, resulting in a closed‐loop data fusion framework for SOH estimation ...
Zhiqiang Lyu+3 more
wiley +1 more source
Abstract This study explored the validity of person judgements by targets and their acquaintances (‘informants’) in longitudinally predicting a broad range of psychologically meaningful life experiences. Judgements were gathered from four sources (targets, N = 189; and three types of informants, N = 1352), and their relative predictive validity was ...
Nele M. Wessels+3 more
wiley +1 more source
Abstract The German Research Foundation has established the priority program SPP 100+. Its subject is monitoring bridge structures in civil engineering. The data‐driven methods cluster deals with the use of measurements and their special global and local analysis methods, which complement each other in an overall multi‐scale concept in order to realize
Maximilian Rohrer+13 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 cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman+8 more
wiley +1 more source
Polynomial differential systems with explicit non-algebraic limit cycles
Up to now all the examples of polynomial differential systems for which non-algebraic limit cycles are known explicitly have degree at most 5. Here we show that already there are polynomial differential systems of degree at least exhibiting explicit ...
Rebiha Benterki, Jaume Llibre
doaj