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We use these codes to generate the results for comparision with previous works and Monte Carlo simulation, as shown below.
The rate-based simulation as shown in this practical example gives the opportunity to design a scrubber near to its optimum.
Comparison with simulation results shows: (1) the beta-binomial approximation is flexible in shape and matches the skewness predicted by simulation as shown by the stochastic SI model and (2) mixture approximations are able to predict transient and extinction behaviour as shown by the stochastic SIS model, in marked contrast with existing approaches.
The interpretation above coincides with the zigzag curve of simulation as shown in Fig. 4.
The process continues until the end of the simulation, as shown in Fig. 1.
This improvement in the model significantly changes the outcome of simulation as shown in subsequent sections.
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The simulation model as shown in Fig. 21 emulates the behaviour of the metro train system.
The theory proposed here agreed qualitatively with the simulations as shown in Fig. 6.
This has been verified by the numerical simulations, as shown in Fig. 3a.
For the first time, we caught one red-handed, not just in simulations as shown here.
The model described by Equation (4) agrees with experimental simulations, as shown in [7].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com