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Exact(11)
So in this example we needed "do THEM part".
So in this example, for, is not more than suboptimal.
So in this example, the formal parallel between 'x are horses' and 'riding x is riding horses' reliably guides us in using the predicate 'riding horses' correctly.
The results of Table 7 indicate that the satisfaction level of CR4 is rather higher than the other four requirements, so in this example, efficacy is more important than cost, conformity, punctuality, and lead time.
So, in this example, if @ewarren follows a given account but @SenWarren doesn't, that still counts as a follow.
So in this example, it costs a low tipper $100/year to become an average tipper and an average tipper $100/year to become a high tipper.
Similar(49)
So in this case, an example would be: expressed('Hoxb1', 'EMAP:151'EMAP
This is not exactly so, as in this example we are comparing apples and oranges.
So, like in this example, it is often important to extract methods from the description of the RESULTS.
So again in this example dataset there appears little advantage in using the bootstrap BCa confidence intervals compared to conventional methods of confidence interval estimation.
So, in this one example at least, the tech's targeting relevance was fair.
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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