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Literature collection involved keyword searches in PubMed.
The review involved keyword searches of electronic databases, including MEDLINE, CINAHL, PsycINFO, EBM Reviews, and Google Scholar in July/August 2013.
The review involved keyword searches of electronic databases including MEDLINE (general medicine), CINAHL (nursing and allied health), PsycINFO (psychology and related behavioural and social sciences), EBM Reviews, Cochrane Database of Systematic Reviews 2005 to May 2013, and Google Scholar.
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We refined the motif in the aligned C/EBP RDM sequence segments and then deployed a protocol involving keyword enrichment, native disorder prediction and conservation scoring in a survey of protein sequence databases.
The researchers focused on a six-year period beginning in 2005, during which diet-related searches — involving keywords like "diet," "Atkins," "Weight Watchers" and "Nutrisystem" — followed an annual trend.
The charts have further examples, and these charts themselves are just a small sampling of MobileDevHQ's tests, which involved 30,000 keyword searches.
The search method involved structured keywords and was divided into two phases.
The search strategy included all languages and involved the keywords: 'midazolam' AND 'child*' OR 'p*ediatric*' OR 'infant*' OR 'new-born*' OR 'neonate*' OR 'adolescent*' AND 'pharmacokinetic*' OR 'clearance' OR 'half-life' OR 'absorption' OR 'distribution' OR 'metabolism' OR 'elimination' OR 'pharmacodynamic*'.
The search strategy included all languages and involved the keywords "morphine AND "child*" OR "p*ediatric* OR "infant*" OR "new-born*" OR "neonate*" OR "adolescent*" [ 11] AND "pharmacokinetic*" OR "clearance" OR "half-life" OR "absorption" OR "distribution" OR "metabolism" OR "elimination" OR *".
Therefore, each value of the refined matrix was divided by the number of keywords involved, i.e. the sum of keywords for the two corresponding nodes.
Usually this involves entering keywords for domain names, but you can also enter the exact domain name for which you are looking.
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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