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We extracted data from this database for our study based on the following criteria.
At the study's end, Alberta Health and Wellness will extract the requested information from their database for our study participants.
Nonetheless, given that there currently exists no Japanese database of RCT-related articles in Japanese, PubMed serves as the best descriptive database for our study.
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We crosschecked the applicability of these databases for our study with four academic experts in India.
We analyzed 544 descriptors derived from the amino acid (AA) index database 22 for our study.
This means that the database used for our study contained relatively few rejected papers (N=478).
Having discussed the theoretical issues in the preceding section, we proceed, in this section, to describe the methods and procedures employed in compiling the database for our survey of empirical studies.
This database was used for our study.
Certain categories of pain and function from the IDES database were combined for our study.
Furthermore, the analysis was done on earlier, smaller samples of the same database as used for our study.
In order to improve the reliability of the predicted miRNA regulations, the regulations that were stored in at least three databases were extracted for our study.
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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