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Open image in new window Fig. 7 Semi-log for deconvolution analysis Open image in new window Fig. 8 Deconvolution simulated history plot for parallel fault with no flow scenario Table 4 Deconvolution simulation results Property Value Pi 13.892 kpa S −3.98 Ko 26.6.
The simulated history reproduced the experimental behavior well.
It seems that the semi-log does not stand in the proper area due to the lack of data and risky results and the process of crosschecking of the permeability and the skin factor from the simulated semi-log with the simulated history and derivative will be a sheer waste of effort as shown in Fig. 5.
With the simulated history potentially containing multiple distinct trees for different sites, we now can potentially recover more than one model tree or topology.
However, when recombination is present (sets 13 18, Table 1), the simulated history cannot be represented by a single tree anymore, but by multiple trees that correspond to each of the recombinant fragments.
This ensures that the model does not simply replicate the actual history of the patients in GenIMS, but rather each simulated history will be a combination of the histories of individuals who are generally similar.
Similar(50)
In each of these simulated histories, somebody holds the record for the longest hitting streak.
SHB had the smallest mean difference in branch lengths and the smallest variance, which may imply that it does quite well in estimating certain branches accurately, but still can not globally infer all branches in the simulated histories.
Results on simulated histories and real biological networks both suggest that common ancestral networks can be accurately reconstructed using this parsimony approach.
Simulating histories that are not that of a constant-sized population is important, as it allowed us to verify that demographies like expansions and bottlenecks do not inflate the false-positive rate in empirical scans for selection, as they do in traditional non-empirical scans that compare observed data to the theoretical expectation for a constant-sized population.
On the other hand, Δ Φpre is fairly large because it reflects Δ lnV, not Δ V. Figure 2 Simulated histories.
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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