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Here the first step is shown, the model is given in the last paragraph.
This model is applied to analyze the behavior of a two-dimensional frame subassemblage under a column removal scenario, and it is shown the model is capable of capturing the total energy dissipation of the entire failure process.
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As shown, the model was able to effectively predict the ductility of the columns.
As shown, the model was able to accurately mirror observed temporal changes in reported case counts.
As shown, the model was statistically significant (p = .012) and had a percentage of explained variance of 57.3%.
Two of the extreme rainfall months show a similar pattern to observations, with low pressure centred near the UK (Fig. 6c, d), showing the model is able to simulate realistic flow patterns.
And new research shows the model is paying off as the vast majority of students are graduating in four years, results that administrators say have national implications for improving college completion.
When the CUSUM line lies in-between the lines of the level of significance, it shows the model is stable.
Non-significant lack of fit shows the model is significant.
One-way sensitivity analysis showed the model is sensitive to lurasidone and generic risperidone hospitalization rates.
The results of the validation showed the model was significant.
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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