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Consider now the 2nd plot of Figure 4(a).
One examples can be seen in the bottom left plot of Figure 19.
The parameters of the graphical plot of Figure 4 is shown in Table 5.
Using only the primary strip, for n = 0, gives the plot of Figure 4.
The bottom plot of Figure 6 shows the TE, ATE+, and ATE− curves.
The right plot of Figure 9 shows the performance difference between LE and FACK.
And, as shown in the upper plot of Figure 4, the similarity approaches zero as the network size grows.
The plot of Figure 2 depicts the Sample Partial Autocorrelation Function clearly highlighting the prevalence of a significant autocorrelation.
The effective offset for left and right ears of all subjects is shown in the scatter plot of Figure 12.
In contrast, the lower plot of Figure 4 indicates that Wiki users in large access networks are relatively similar.
The contour plot of Figure 10 shows lines of equal PLRRM in percent with different transmission powers of the device as parameter, assuming a PERD2C of 10%.
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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