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Previous studies have shown the importance of assigning proper articles to individual students for training their reading ability; nevertheless, previous experience has also shown the challenges of this issue owing to the complexity of personal factors as well as the diverse properties of the candidate articles to be taken into consideration.
Preliminary studies were first identified by screening the titles and abstracts of candidate articles.
The original search identified 1960 candidate articles from PubMed (91%), PsychInfo (8%), and EconLit (1%).
Abstracts of all candidate articles were read by two independent reviewers (DMK and SJS).
The systematic literature search initially identified 953 candidate articles, of which 81 were selected for fulltext retrieval.
One author independently reviewed all citations, and two authors reviewed all candidate articles during the process of final selection.
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This in turn resulted in a large candidate article set that required substantial screening.
In Google Scholar, we always selected the option to view all versions of a candidate article, and all links were attempted.
This archive file serves as the candidate article database and a screening tool that is accessed by the GenDrux web-retrieval system.
21 Two reviewers (MD plus SH or SO) reviewed the full text of each candidate article to apply the screen, and consulted LR for resolution when there was disagreement.
So the response, consisting of speeches by political candidates, articles by pundits, research by academics and angry outbursts by the public, is hardly a surprise.
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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