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As an example, we simulated our PCAC algorithm on the network shown in Figure 9 with the simulator discussed in the next section (Section 6). Figure 11 shows the behavior of the TLT with the change of β, whereas Figure 12 shows the behavior of the TLT with the change of τ.
By applying the presented approach to the example we simulated the influences of all effectors on the respective reaction steps.
In the third and final example, we simulated a multiple-subject, multiple-session, and multiple-condition study.
In this second example, we simulated a between subjects study consisting of DOI signals simulated from five different subjects.
For example, we simulated the effect of monocytes in our SDMM by incorporating interactions of monocytes with other cells and cytokines.
For example, we simulated breeding by 10 random pairs from a potential pool of parents with two equally common alleles in HWE (see for code).
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Bipartite PNLMS simulation example: we simulate the Bipartite PNLMS algorithm for a filter of length M=10 and average over 20 Monte Carlo (MC) runs.
In an illustrative example, we simulate and compare the dynamic pricing scheme with fixed and time-of-use pricing.
As an example we simulate the generation and runout distance of a dense volcanic granular flow of ~106 m3 in volume on the southern flank of Merapi volcano (Figure 5).
To give a concrete example, we simulate a presynaptic neuron whose excitability is fluctuating on multiple timescales (Fig 2A).
As a final example we simulate a model of molecular transport in a neuron.
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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