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While I think the model handles the relationship between state polls and national polls in a careful way, there are a lot of alternative assumptions that one might make, and so it had been a source of some inherent ambiguity.
The model handles highly irregular fluid solid boundaries effectively.
The model handles the two sensing scenarios, single sensing and multiple sensing.
The model handles multicomponent mixtures and considers effects of pressure drop and energy balance.
Owing to the characteristics of such ply materials the model handles these effects and their evolutions in an anisotropic manner.
Regarding the mesh generation, the model handles the 2-D triangular-gridded matrix and 1-D edge-gridded fracture.
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The underlying object-oriented model representation simplifies the model handling during the modelling process.
A related problem is that all of the models handle the economic data in their own idiosyncratic ways.
Crossposted with TheGreenGrok | Factorsus on Facebook.com/deanchameides.
The electromagnetic model handles the calculation of the electric and magnetic fields using the magnetic vector potential.
As already mentioned in the stand-alone analysis, compared to some competing artifacts, the planning model handles risk and the involved decision-makers' risk attitude rather implicitly.
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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