Results 101 to 110 of about 1,140,649 (296)
, 2012 In recent years, many difficulties appeared when taking into account the inherent stochastic behavior of neurons and voltage-dependent ion channels in Hodgking-Huxley type models.
Cresson, Jacky +2 more
core +1 more source
Advanced Functional Materials, EarlyView.Quantum sensing reveals intricate patterns linking endo‐lysosomal maturation to cardiac fibrosis progression, highlighting complexity in cellular remodeling. This study investigates fibroblast‐to‐myofibroblast transition under cell aging, stiffness, and TGF‐β stimulation, comparing nanodiamond uptake, endo‐lysosomal dynamics, and free radical ...
Aldona Mzyk +3 more
wiley +1 more source
A market model for stochastic smile: a conditional density approach [PDF]
, 2005 The purpose of this paper is to introduce a new approach that allows to construct no-arbitrage market models of for implied volatility surfaces (in other words, stochastic smile models).
Zilber, A.
core +2 more sources
Applications of Little's Law to stochastic models of gene expression
, 2010 The intrinsic stochasticity of gene expression can lead to large variations in protein levels across a population of cells. To explain this variability, different sources of mRNA fluctuations ('Poisson' and 'Telegraph' processes) have been proposed in ...
Elgart, Vlad +2 more
core +1 more source
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Advanced Functional Materials, EarlyView.Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
Construction and Verification of Performance and Reliability Models [PDF]
, 2001 Over the last two decades formal methods have been extended towards performance and reliability evaluation. This paper tries to provide a rather intuitive explanation of the basic concepts and features in this area. Instead of striving for mathematical
Hermanns, H.
core +2 more sources
Advanced Functional Materials, EarlyView.ACC forms via aggregating prenucleation clusters that gatekeep its chemical composition. Ion identity steers the path: Ba and Sr substitute Ca in clusters, thereby inhibiting nucleation, with a dose‐dependent switch of Sr to induction. Mg partitions into Mg‐rich and Mg‐poor clusters; the latter form ACC, expelling Mg.
Qianyu Zhao +9 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Molecularly engineered memristors integrating Ag nanoparticle–embedded synthetic DNA with quasi‐2D halide perovskites enable ultra‐low‐operational voltage, forming‐free resistive switching, and record‐low power density. This synergistic integration of customized DNA and 2D OHP in bio‐hybrid architecture enhances charge transport, reduces variability ...
Kavya S. Keremane +9 more
wiley +1 more source
Stochastic Collapsed Variational Inference for Sequential Data
, 2015 Stochastic variational inference for collapsed models has recently been successfully applied to large scale topic modelling. In this paper, we propose a stochastic collapsed variational inference algorithm in the sequential data setting. Our algorithm is
Blunsom, Phil, Wang, Pengyu
core
Stochastic Frontiers and Asymmetric Information Models [PDF]
, 1998 This article suggests that the global inefficiency which generally affects a production process is endogenous and depends on the incentives generated by the process environment.
Gagnepain, Philippe, Ivaldi, Marc
core +1 more source