Close agreement between deterministic versus stochastic modeling of first-passage time to vesicle fusion. [PDF]
Biophys J, 2022 Matveev VV.
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
Advanced Materials Technologies, EarlyView.An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Stochastic Modeling and Forecasting of Covid-19 Deaths: Analysis for the Fifty States in the United States. [PDF]
Acta Biotheor, 2022 Otunuga OM, Otunuga O.
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Stochastic Models for the Chemostat
, 2011 The chemostat is classically represented, at high popula- tion scale, as a system of ordinary differential equations. Our goal is to establish a set of stochastic models that are valid at different scales. At a microscopic scale we present a pure jump stochastic model that gives rise, at the macroscopic scale, to the ordinary differential equation ...
Campillo, Fabien +2 more
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Advanced Materials Technologies, EarlyView.ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Stochastic modeling of obesity status in United States adults using Markov Chains: A nationally representative analysis of population health data from 2017-2020. [PDF]
Obes Sci Pract, 2023 Huang AA, Huang SY.
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Quasi-Maximum Likelihood estimation of Stochastic Volatility models. [PDF]
Changes in variance or volatility over time can be modelled using stochastic volatility (SV) models. This approach is based on treating the volatility as an unobserved vatiable, the logarithm of which is modelled as a linear stochastic process, usually ...
Ruiz, Esther
core
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Multiscale stochastic modeling for calcium dynamics in cardiac electrophysiology: assessing whole-cell model reliability under phosphorylation and LCC downregulation. [PDF]
Front Netw PhysiolNovaes GM +3 more
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Interval type-2 Fuzzy control and stochastic modeling of COVID-19 spread based on vaccination and social distancing rates. [PDF]
Comput Methods Programs Biomed, 2023 Rafiei H +4 more
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