Sentence examples for statements retrieved from inspiring English sources

The data analysis was based in grounded theory [34], [35], which relies on the process of constant comparison of qualitative data (statements) retrieved from participants.

Among the speculative statements retrieved using the above-defined strategy, we were particularly interested in the ones speculating about the possibility that a particular protein (or gene) could be a possible biomarker.

For a more specific assessment of the tool's value as an aid to curators in the case of GEO and PDB links to the literature, we manually assessed the evidence statements automatically retrieved by the tool by classifying them into four main categories: Deposition: If the evidence statement shows the data were deposited.

The statements were retrieved by personal interviews.

No position statements were retrieved that met our inclusion and exclusion criteria.

Following this, international guidelines, protocols and consensus statements were retrieved and collected.

Results: We apply machine learning algorithms to sentences extracted from full-text articles in PubMed Central in order to automatically determine whether a given article contains a data deposition statement, and retrieve the specific statements.

The retrieved statements were sorted into three categories of interest as shown in Figures 3 and 4. To evaluate the quality of evidence statements, sets of 100 randomly selected statements were created for each category I, II and III for both GEO and PDB.

Financial statement data were retrieved from the Amadeus-Bureau van Dijk database.

The evaluation was based on the percentage of relevant articles of the highest level of evidence available for a given statement that were retrieved by the participants and used during the debate, as compared to the total number of relevant articles retrieved by the librarian and judged to be relevant by the facilitators.

To this end, the first part of this article highlights the main features of the three projects on the basis of consent forms, privacy policy statements, and relevant information retrieved between October 2013 and February 2014, from the website of these projects.