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With companies now curating content, software developers, and now manufacturers, this model is on the path for disruption.
An advantage of the high pressure in this model is, on the other hand, that if a product or treatment regimen shows a tight occlusion of the dentinal tubules in the test model, it is likely that also in a clinical situation, this kind of treatment would be effective against DH.
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The standard errors in this model are, on average, between 2 and 3 times smaller than when we use a sandwich estimator (model 6).
This model is based on the one developed by Dustmann (2003).
This Polder model is on the plain side, but the reviews tend to praise its longevity.
Currently, this model is based on and extends [16] work on service selection attributes (criteria).
This model is based on sets of three spikes (one presynaptic and two postsynaptic).
This model is based on the actor's features.
This model is based on Watterson's channel model [17].
This model is trained on Pima diabetes dataset.
This model is premised on a cluttered, unstructured environment.
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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