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Some examples: Disbelief has been expressed on data showing a zero prevalence of cigarette smoking amongst pregnant women ignoring the fact that cigarette smoking is rarely practised by Chinese women, whether pregnant or not; similarly disbelief at the very low prevalence of coffee drinking amongst this cohort ignores the fact that, outside of the major cities, coffee drinking is uncommon.
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In addition, the expression of Cel8A as part of the operon was lower than when it was expressed on its own (data not shown).
Additionally, STS patients had worst prognosis when all OPN splice variants are expressed on high mRNA levels (data not shown).
Mn-excess did not significantly affect the contents of Chl, Chl a, Chl b and Car, whether the data were expressed on a leaf area (Table 3), FW or DW (data not shown) basis.
All samples were assayed in triplicate, and the data are expressed on dry weight of the samples.
Data were expressed on a log scale and were designated as 'rare call preference'.
Data were expressed on a per g dry matter basis.
Data were expressed on a whole-weight basis.
In some instances, these data are expressed on a "per dose" basis.
For convenience, all further data are expressed on a CWR basis.
The data is expressed on a logarithmic scale (base 2), as usual.
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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