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Cumulative incidence functions have been displayed for each endpoint.
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The institutional table is determined using average standardised scores in each subject, as opposed to the average teaching score that is displayed for each subject.
In Fig. 3, the forecast errors are displayed for each model below the two panels.
Average accuracy and average training time per epoch are displayed for each embedding approach.
The resulting overlapping masks are displayed for each predominant source (c,f,i,l).
In Fig. 4, the Twitter activity is displayed for each hashtag related to radiology.
Both outputs, LOS Airline and LOS Pax, are displayed for each airline and each case in both scenarios on a single 3-color-bar.
This is illustrated by Fig. 2, where the ratio between the mean and the rms value of the Z component is displayed for each of the 2000 caps.
The examined models are presented in Table 5. Fitted coefficients and p-values are displayed for each variable involved in the particular model.
To ensure that the SCPs are not strongly dependent on one another, correlation plots are displayed for each pair of SCPs (Fig. 3) together with the corresponding correlation coefficient (R).
These results are presented in Table 1, in which the results of each spiked measurement after the endogenous amount of RBP4 had been subtracted out, are displayed for each concentration level in all three samples.
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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