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We use searching factorial analysis to examine the latent variables and obtained seven latent variables (see Table 4).
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28 We used searched Web of Science, Cochrane Central Register of Controlled Trials, Medline, Embase, and PsycINFO for studies published from inception to April 2012.
Their works are designed to explore and better understand the nuances of our everyday lives: How we use search engines, find partners to date, and upload images according to seasons.
We used search terms from two categories related to disability (e.g., "disabilit*," "limit*," "disabl*," "deficien*," and "handicap*"); and injury (e.g., "injur*," "hurt*," "trauma," "fall*," and "wound*").
We used search terms individually and combined in multiple ways using Boolean operators (AND, OR).
In the electronic databases, we used search words (nurs*.mp. or "nurs*".jn).jn
We used search algorithms for 'ocular gene transfer' in media databases Factiva and Canadian Newsstand.
We used search terms for the exposure of interest (socioeconomic disadvantage) and the outcomes of interest (childhood disabling chronic conditions).
We used search terms in Google to identify websites with information rich content on expressing breastmilk and breast pumps.
In order to identify relevant studies, we used search terms related to the safety of bicyclists, and to transportation infrastructure.
We used search terms including (OR) "research", "evidence" combined with (OR) "implementation", "uptake" combined with (AND) "health policy", "low income countries".
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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