Results 81 to 90 of about 66,597 (255)
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Spectral gap of the Erlang A model in the Halfin-Whitt regime
Stochastic Systems, 2012 We consider a hybrid diffusion process that is a combination of two Ornstein-Uhlenbeck processes with different restraining forces. This process serves as the heavy-traffic approximation to the Markovian many-server queue with abandonments in the ...
Johan S.H. van Leeuwaarden +1 more
doaj
Advanced Science, EarlyView.Complex microarchitectures emerge from simple flow‐driven transformations as static mixers iteratively reorient and split material domains. Coupled with diverse deposition strategies, chaotic printing provides an accessible platform for fabricating architected materials that support biologically and chemically relevant processes. ABSTRACT Nature builds
Edna Johana Bolívar‐Monsalve +7 more
wiley +1 more source
Why Shape Coding? Asymptotic Analysis of the Entropy Rate for Digital Images. [PDF]
Entropy (Basel), 2022 Xin G, Fan P, Letaief KB.
europepmc +1 more source
Advanced Science, EarlyView.An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon +13 more
wiley +1 more source
Asymptotic Analysis of <i>q</i>-Recursive Sequences. [PDF]
Algorithmica, 2022 Heuberger C, Krenn D, Lipnik GF.
europepmc +1 more source
A metric approach to asymptotic analysis
Bulletin des Sciences Mathématiques, 2003 Having a subset \(E\) of the normed vector space \(X\), the \(\varepsilon\)-enlargement of \(E\) is the set \(C_\varepsilon(E):=\{x\in X\mid d(x,E)0\) such that \(C_\varepsilon(E)\cap C_\varepsilon(F)\) is bounded. Moreover, the subset \(C\) of \(X\) is said to be a firm (outer) asymptotic approximation of \(E\subset X\) if for every \(\varepsilon>0 ...
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Advanced Science, EarlyView.Computational simulations of tumor evolution are increasingly used to infer the rules underlying cancer growth, with the goal of one day recommending tailored treatments. Here we show that the properties of lung cancer sequencing data are best replicated by a model which assumes that cells compete both to proliferate and survive. ABSTRACT Computational
Helena Coggan +5 more
wiley +1 more source
Multiscale Asymptotic Analysis Reveals How Cell Growth and Subcellular Compartments Affect Tissue-Scale Hormone Transport. [PDF]
Bull Math Biol, 2023 Kiradjiev KB, Band LR.
europepmc +1 more source
Asymptotic analysis of powers of matrices [PDF]
International Journal of Mathematics and Mathematical Sciences, 2006 We analyze the representation of An as a linear combination of Aj, 0 ≤ j ≤ k − 1, where A is a k × k matrix. We obtain a first‐order asymptotic approximation of An as n → ∞, without imposing any special conditions on A. We give some examples showing the application of our results.
openaire +4 more sources