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SIRSi compartmental model for COVID-19 pandemic with immunity loss
(2021-01-01)
The coronavirus disease 2019 (Covid-19) outbreak led the world to an unprecedented health and economic crisis. In an attempt to respond to this emergency, researchers worldwide are intensively studying the dynamics of the ...
Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?
Basing on existence of the mathematically sequential reduction of the three-compartmental (SusceptibleInfected-Recovered/Removed) model to the Verhulst (logistic) equation with the parameters determined
by the basic ...
A compartmental model to describe hydraulics in a full-scale waste stabilization pond
(2012-02-01)
The advancement of experimental and computational resources has facilitated the use of computational fluid dynamics (CFD) models as a predictive tool for mixing behaviour in full-scale waste stabilization pond systems. ...
Modeling temperature gradients in wine fermentation tanks
(ELSEVIER SCI LTD, 2010)
Extreme temperatures are common in large wine fermentation tanks. If not controlled properly, they can lead to problematic fermentations. Thus, efficient cooling and automatic control systems must be designed. However, it ...
The first 100 days: modeling the evolution of the COVID-19 pandemic
A simple analytical model for modeling the evolution of the 2020 COVID-19
pandemic is presented. The model is based on the numerical solution of the
widely used Susceptible-Infectious-Removed (SIR) populations model for ...
A fuzzy cellular automata for SIR compartmental models
(2013-12-01)
We propose a representation of the dynamics of epidemics through a compartmental SIR (Susceptible - Infected - Recovered) model, with the combined use of geo-referenced cellular automata and fuzzy systems. In this model, ...
T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells
(eLife Sciences Publications Ltd, 2017-11)
Compartmental models are the theoretical tool of choice for understanding single neuron computations. However, many models are incomplete, built ad hoc and require tuning for each novel condition rendering them of limited ...