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The technology can also identify papers cobbled together from bits and pieces of material from several texts.
The aim of this article was to systematically review the literature to identify papers dealing with risk factors associated with sleep bruxism (SB) in children.
The search also aimed to identify papers relating to the long-term consequences of hospital attendances due to child injury and ingestions, though no studies was identified.
For the next 6 months, we will be asking reviewers and editors to identify papers submitted to Science that demonstrate excellence in transparency and instill confidence in the results.
It uses a systematic review search methodology to identify papers for inclusion, but adopts a more synthetic approach to assess the level of agreement and the amount of evidence within this literature.
A comprehensive search of Pubmed and Embase search was performed on July 1, 2011 to identify papers published in peer-reviewed journals from RCTs in surgical or gynaecological patients for the intervention with PEG and outcome adhesions.
After the results of these searches were recorded, each paper was manually screened using a set of inclusion and exclusion criteria that attempts to identify papers that are aligned with the theme and scope of the study.
The system uses data from the SIMBAD, the NASA/IPAC Extragalactic Database, the International Astronomical Union Circulars and the Lunar and Planetary Institute to identify papers referring to a given object, and can also search by object position, listing papers which concern objects within a 10 arcminute radius of a given Right Ascension and Declination.
Next, we undertook a narrative review of the peer-reviewed and grey literature on pandemic influenza to identify papers that elaborated strategies relevant for general practice.
In addition, these terms were paired with the terms 'internet or computer or online' to identify papers relating to internet or computer treatment in particular.
However, we were able to identify papers appearing in a variety of journals, text books and published as reports ('grey literature') and did not find any evidence for a correlation between the type of source and the quality of the data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com