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Aligned with the aforementioned requirements, applications in the field of data stream processing require continuous and timely processing of high-volume of data, originated from a myriad of distributed (and possibly mobile) sources, to obtain online notifications from complex queries over the steady flow of data items [18 20].
However, because our data originated from a designed experiment, the species rank-abundance distribution obtained from these data did not differ with respect to sampling intensity or the spatio-temporal scales of sampling and therefore were comparable among treatments.
Primary data originated from a cross-sectional questionnaire of Latina/o immigrants in Baltimore in 2011.
Data originated from a multi-site chronic NCD risk factor prevalence survey conducted in 2005.
Second, our data originated from a single referral center, and included a relatively small number of cases.
The data originated from a cross-sectional study with a convenience sample of 145 patients with HNC.
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Considering that our RNA-seq data originated from an independent trial, the exceptions to the rule are unsurprising.
At the same time, the new data originate from a similar (but not the same) phenomenon (process) for which the original model has been constructed so the existing model, even though it could applied, has to be treated with a certain level of reservation.
Instead, we present a mobile query service that supports on-the-fly and integrated querying of semantic data, originating from a largely unused portion of the Semantic Web, comprising online RDF files and semantics embedded in annotated webpages.
This suggestion was further supported by data originating from a 10-year study [ 4].
Data originate from a cross-sectional household survey on health behaviour and service utilization patterns.
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