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To extract a statistical significance from these simulations, we perform a Kolmogorov-Smirnov statistical significance test between the simulated data set and the mathematical formulation in Eq. (2) and [10].
Hydrodynamic cavition of water, ethyl alcohol and fuel oil have been simulated using commercial CFD soft ware package ANSYS FLUENT 16.A satisfactory match between the simulated data and experimental results have been obtained.
Questions come from the huge difference in selectivity to gas olefins and aromatics between the simulated data and results from real MTH experiments.
In addition, the F tests demonstrated that in all the cases there was no significant difference between the simulated data and the experimental data because the significance level was always bigger than 0.05.
The deviation is significant between the simulated data and experimental data for genes AGL24 and SOC1 in all the three models.
The greatest difference between the simulated data set and the original data sets is the higher amount of missing values in UICC-stage.
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We measured the relationship between characteristics of the simulated data and the inferred trees using the Spearman correlation coefficient.
We did not find any significant difference in the median GC-content between BPRs and the simulated data set when considering classes of intergene size (see Table 1 in Additional File 1).
The comparison between the experimental and the simulated data is shown in Figure 3a,b,c,d the deviation between them is within the experimental deviations values and they can be fitted with a straight line.
As a result, any comparison between the experimental and the simulated data shown here should only refer to the shape and orientation of the polar plots, and not the absolute SHG intensity.
It was observed that a selective choice of the Weibull distribution parameters has led to a good agreement between the experimental and the simulated data.
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