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When presenting data, percentage and standard deviation were used.
When presenting the real-world case, we also focus on the challenges related to data collection.
When presenting an architecture project, I first lay down facts about it.
When presenting the results, we focus on respondents in categories a c.
When presenting the results, we tried to emphasize where this bias is present.
When presenting population estimates, individual weights are used to adjust for non-response.
When presenting comparative healthcare information, it seems that these quality indicators are essential to incorporate.
When presenting the component stimuli (e.g., A), a single appropriate character was shown.
When presenting large sequence alignments, we tried to balance clarity of representation with comprehensiveness.
When presenting it, do so with confidence, but speak naturally.
When presenting a true Game Face talking trash is unnecessary.
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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