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However, Mehta tells us that this model also proved to be a problem for the company.
This model also proved valid on the basis of this demanding validation which is not generally done.
The model also proved powerful in demarcating the changeover between the partially wetted and the fully wetted pellet conditions.
The model also proved suitable for adequate representation of the real relationship among the selected independent variables (X1, X2, X3,X4).
For atmospheric conditions where non-hydrostatic effects become dominant, the model also proved to be able to reproduce trapped lee waves located downwind of the mountain.
The model also proved its ability to handle long shut-in periods with considerable variation in the bottom-hole pressure (i.e., cross-flow between layers can be accounted for).
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The Solar PPA model also proves to be a more attractive option in most sensitivity cases.
The inversion result of this model also proves the effectiveness of the inversion method introduced in this paper.
Results of comparison between SCP-M and SCP-O models also proved that by adopting the SCP-M in wireless networks, the network performance is enhanced.
These models also proved to yield best performance, out- performing a state-of-the-art search engine (Lucene).
Our models also proved to have a relatively high explanatory ability on the variance as the achieved adjusted R were 51% (ADG), 59% (FCE), 51% (Age100 kg), 66% (ADFI) and 20% (OFI), which were proportions of variation that were explained by the predictors in the models.
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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