Sentence examples for accommodating data from from inspiring English sources

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The data model of Social BIMCloud is also extensible for accommodating data from new domains like energy simulation, cost estimation, and site layout planning.

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It is also working on how to accommodate data from wearables to track physical performance and potentially feed this into the Tonsser score.

We present a robust RDB structure originally designed for neurophysiological data; however, it is abstract enough to accommodate data from a variety of trial-based experimental designs.

This format needs to be flexible enough to accommodate data from scientific experiments of all kinds and the SciData data model and its implementation in JSON-LD fits that need.

These hierarchical models can accommodate data from several levels such as cancer registry case point data and such regional data as poverty at the census, block group level.

Both Sample and Analysis modules have been defined broadly to accommodate data from different type of omics experiments and still provide a common annotation framework.

These methods could accommodate data from all three studies, regardless of the fact that the assessment times varied between studies, and could also allow inclusion of data from unscheduled visits and visits that occurred outside of prescribed visit windows.

OpenSDE is able to accommodate data from a broad specialty in which the possibility of a detailed description of history taking and physical examination is necessary, and specific needs of each (sub specialty can be customized.

The RETINOBASE database schema has been developed using the same philosophy as that used to design BASE [ 15], with enhancements to accommodate data from different platforms and also complies to the Minimum Information About Microarray Experiment (MIAME) standard [ 16].

Compared with clinical trials, the acquisition of raw data for chemicals and pesticides would be much more complex, in part because it would require a framework that can accommodate data from numerous types of studies: observational and experimental, animal, human, in vitro, and high throughput screening studies.

DOI: http://dx.doi.org/10.7554/eLife.07103.013 Finaly, we characterized pluripotency in our lines through PluriTest, a bioinformatic classifier that compares the gene expression profiles of new lines to those obtained from a reference set of over 400 well-characterized human pluripotent and terminally differentiated lines (Müller et al., 2011), modified to accommodate data from both species.

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