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Results on the dataset show that neural models can achieve better performance compared to state-of-the-art discrete models.
All specimens in the dataset show brittle behavior as evidenced by the stress-strain relationships and bolstered by analysis of the AE activity.
In the same manner, the two Q–Q plots for these two sows, which are graphical representations of the quantiles of each sow versus the quantiles of all sows in the dataset, show very large differences in the distributions for these two sows.
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Our analysis of the dataset shows that the leaked phone numbers come from seventy-six of the three hundred and twenty-two area codes in the United States.
Therefore, the dataset shows no singularity issue.
Moreover, the dataset shows that ion concentrations in pure formation water vary according to formation.
The dataset shows a range of variations over both short and long time scales.
A spectral analysis of the dataset shows two dominant oscillations with periods of 4 and 6 h.
Similarly, the Uzbek edition, being among the ten smallest in the dataset, shows high concept overlap with large editions.
The dataset shows a large range of UCS (as observed for the other physical properties), from 60 to 211 MPa.
The dataset shows that all four parties forefront their leaders (see "Media features, convergence and participation spaces" section).
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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