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Existing analytics approaches on unstructured data around the product life cycle focus on isolated data sources from a single product life cycle phase, do not make use of structured data for holistic analytics and are typically cost-intensive and case-based, without a general framework.
The present study used a variety of data sources from a larger data corpus.
An exploratory qualitative approach was taken with a variety of data sources from a larger data corpus.
On the other hand, we used multiple data sources from a variety of funders of health RCS evaluations, including consultations, a survey, framework documents, and evaluation reports.
We have triangulated a range of primary and secondary data sources from a variety of participants to ensure the validity of our findings.
To provide a robust characterization of structural variation in a human personal genome, we examined multiple data sources from a single individual (HS1011).
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Research the data source from a graph or report found on the Center for Disease Control's Web site, such as //www.cdc.gov/nohss/.
Furthermore, a cached data source from a previous execution can often be reused.
The user chooses the Data Source from a list.
Data Sourced From: (a) United Kingdom estimates, (b) Country estimates.
This study should provide a unique data source from a randomized, controlled, longitudinal trial to investigate the effects of a form of ASTM on cardiovascular autonomic and neuropsychological health in LLD.
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