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Only after the interpretation of all NS, MRV, and TLV was completed, all queries of the data were made, and the database was locked, were any discussions of the results allowed among the experts at the level of individual subjects.
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Comparisons with other experimental data are made and the validity of chemical kinetic reaction mechanisms discussed.
A validation process for various experimental data was made and adequate results are shown.
A comparison with experimental data is made, and a simplified formula suitable for correlation studies is suggested.
Comparison between the present predictions and some existing experimental data is made, and close agreement has been found.
A comparison between equilibrium and experimental data was made, and the agreement was generally good indicating that close-to-equilibrium conditions were attained for the selected reaction conditions.
The advantage of k-NN classification is that it is a nonparametric method where no assumption on the distribution of data is made and that it is simple to implement.
Additionally, for the aberrant expression of myeloid markers, a distributional analysis of the data was made and found no normal distribution.
Quotes were selected on the basis that they provided evidence of the interpretation of the data being made and a deeper understanding of the strength of feeling participants' expressed about particular issues.
Fits to the adduct and dust data were made with and without current smokers included.
We used archival formalin-fixed paraffin-embedded blocks, and all personal data were made anonymous and coded; therefore patient consent was not sought.
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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