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Customizable simulator is written in MATLAB to simulate the model.
For these simulations we set (eta_{4}=0.01) and (eta_{6}=0.1) and simulate the model for one N-body time-unit.
Figures 2, 3 in the main text show stochastic simulations of the epidemiological model given by Equation 8. To simulate the model stochastically, we used Gillespie's τ-leap method with a time step of 1 hr.
In this section, users can also explore the mathematical formalisation, simulate the model dynamics with respect to time, plot and download the simulations results.
Finally, we simulate the model to illustrate our results.
We simulate the model by Monte Carlo method.
As for the communication system, we simulate the model pictured in Figure 1.
An electrostatic field solver with time-dependent voltage has been applied to simulate the model.
We simulate the model considering the initial conditions derived from each of the experimental groups.
The code used to simulate the model is available on GitHub (https://github.com/jgtz/BreastCancerModel).
Finally, we respectively simulate the model under three different ordering strategies.
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