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We investigated whether this database provides valid regional data and whether it can be used to compare smoking prevalence in different UK regions.
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Relevant variables derived from this database include: whether a patient had received a psychological diagnosis during a GP consultation (GP P-consultation) or an EPC consultation (EPC P-consultation), the number of consultations with a GP for other reasons (GP non P-consultations), and the number of consultations at EPC services for other reasons (EPC non P-consultations).
Using this database we tested whether FA profiles are suitable as chemotaxonomic markers.
As PubMed is the most frequently used database by nephrologists [ 1], we further examined the articles not included in this database and analyzed whether other databases contained these missed articles in their holdings.
We have, therefore, utilized this database to investigate whether and possibly how the therapeutic response by exenatide in type 2 diabetes is different between genders.
Given a database of assertions concerning relative occurrences of points in time, we are interested in various operations on this database, including compiling the assertions into a representation that supports efficient reasoning, determining whether a database is consistent, and computing the strongest entailed relation between two points.
To assess whether the custom tryptic peptide database improved protein discovery, we examined the number of high confidence proteins and peptides identified by ProteinPilot using this database versus a common approach to annotation, a search of the MSDB.
If research is designed for answering some educationally relevant question using international assessment data, the researcher could begin this process by determining whether the database contains variables that describe (1) the participants' proximity to relevant educational institutions; (2) institutional rules and personal characteristics; (3) or deviations from cohort trends.
Thus, it is possible to indicate whether the database has epistasis (non-linear interactions) or not based on this metric.
Publishers are asking whether the database at SparkLIST, which is operated from Green Bay, Wis., has been broken into by hackers or otherwise compromised.
Under Section 201(c), the question is not whether a user can generate a revision of a collective work from a database, but whether the database itself perceptibly presents the author's contribution as part of a revision of the collective work.
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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