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Review of ECS models revealed few descriptions of teaching arrangements beyond the broad categorizations of models discussed above.
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Police revealed few other details.
These diversity indices revealed few differences between the two conditions.
They revealed few conversations with their parents on these topics.
This revealed few instances of relevant uncoded material.
Maxillary sinus cultures revealed few polymorphonuclear leukocytes, few mononuclear cells, and no microorganisms.
In support of these observations, lineage tracing experiments conducted in genetically engineered mouse models revealed that only a few clones give rise to tumors whereas a vast majority of mutated cells are unable to sustain tumorigenesis (Driessens et al., 2012; Schepers et al., 2012).
A lineage through time plot for scarines revealed fewer lineages in their early history than expected under a constant rates model.
Compared to them, logistic regression revealed fewer risk factors, and also the number of the stereotypic horses classified correctly by the model was less.
The review of freight transport demand models revealed several things: first of all there are numerous models which are used to forecast transport demand or rather to assess policy measures (although only few models were presented here).
On the other hand, gene flow estimates based on an isolation with migration model revealed only a few cases of clear genetic exchange between species.
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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