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The framework takes advantage of the commonality of data and information processing in the different domains involved to overcome the barrier of heterogeneity of domains and physics in CPS.
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For the commonality of a data model, we created a template by extracting common factors from reports of four institutions.
Environmental and health data have very few commonalities; in many cases, the only commonalities of the data are the general geographic area and time frame.
Following coding guidelines developed by the team, the qualitative researcher categorized all messages and coded in depth those on oral-systemic connection with open coding, the process of selecting and naming categories and identifying commonalities of the data.
Although 36% said that they routinely recorded at least one measure of active function, there was wide variation in the instruments used and insufficient commonality to allow pooling of data.
Identification of data commonalities and associated mapped ontologies among the diverse settings and research data types contained within the spectrum of ICEMR site investigations presents significant opportunities for "in-silico" exploratory research.
EBM focuses on the generalization of the results, the aggregation of data, the analyses of commonalities, and the evaluation of the efficacy in average patients.
More recently, bioinformatics was used to pool the overwhelming amount of data from these studies, extracting the commonalities and proposing new drug targets and vaccine candidates [12], [13].
Submap is an unsupervised subclass mapping method that identifies the correspondence or commonality of subtypes found in multiple, independent data sets potentially generated on different platforms.
A remaining challenge is to identify the correspondence or commonality of subtypes found in multiple, independent data sets generated on various platforms.
We here bring together data that show the commonality of these phenomena across environmental, laboratory and clinical microbiology.
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