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In our experiments, four different representational traffics are generated for our simulation and, to show the flexibility of this model, we vary the cable lengths and thus their latency for all four test cases.
In this model, we vary the amount of metasomatic slab fluid added into the mantle while its composition is kept constant.
On applying the traffic volume model to the Poisson-distributed arrival model we vary based on the 4 types of traffic volume, as shown in Figure 9. Figure 9 Traffic Volume Model.
For the full buffer model, we vary the average number of users in the cell N = [8, 11, 14, 17, 20]; for the finite buffer model, the following offered cell loads are evaluated L = [8, 9, 10, 10.5, 11, 11.5] where L represents the offered cell load measured in Mbps.
To investigate the influence of (R_{0}) and the number of patches on the loss in algae production or damage or the number of recovered individuals at the equilibrium of the model, we vary the value of (R_{0}) and the number of patches.
To find the optimum 3M model, we vary the minimum path length from 1 to 10 genes.
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In order to analyze the behavior of the model we varied the following four variables, (1) the initial spatial distribution of haplotypes; (2) the magnitude of local gene-flow; (3) the noise in the initial pattern and; (4) the intensity of global (non-local) gene-flow.
Importantly, for the colored-noise part of the model, we varied alpha in 1/f α until the simultaneous combination of colored noise and white noise best fit the data.
Using the Drosophila model, we varied the gene dosage of the fly FX gene (dfmr1) (0 = FX, 1 = FXR+, 2 = FXR++), and measured cAMP production from head membrane preparations in the presence or absence of forskolin.
Finally, for the Periodic model, we varied the periodicity from 10.0 to 12.0 bp (corresponding roughly to the range of DNA helix), and for each of these values, we also varied the amplitude parameter, which is a measure of the strength of periodicity (see Methods).
As for the ARF model we varied the parameters to see if the oscillatory behaviour was sensitive to the changes in their values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com