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Computational steps included page clicks, exporting/importing data between systems and data management.
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To facilitate this there needs to be a middle layer or conversational run-time between the various systems and data sets in an organization so an end user can quickly and easily do their job without having to open a new app or piece of software.
Cohen's κ coefficient was used to assess overall agreement between the 2 systems and data reliability.
3. The terminology bindings in the two models are crucial for data sharing between systems and secondary use of the EHR data based on aggregation, e.g. for epidemiology purposes.
However, it is challenging to significantly increase disk I/O bandwidth for data-intensive workloads due to (1) reliability and instant processing of data requests under dynamic workload conditions, and (2) the optimum tradeoff between system scalability and data reliability in data-intensive systems.
As new systems are implemented or updated, it is essential that standardization be addressed, to allow data transfer between systems and to reduce the potential for errors related to inadequate familiarity with the software [ 21].
Another way of classifying signal processing systems is to distinguish between stream data systems and block data systems.
5– 7, * However, the external validity of such models may be limited by differences between trauma systems and imprecise data field definitions.
For all experiments, the system obtained an R2 greater than or equal 0.975 in a regression analysis between data acquired from our monitoring system and data obtained from a commercial datalogger with linear fit and second-degree polynomial fit.
This makes it possible to enforce the simulation and rendering on the GPUs platform, thus decreasing the complex data exchange between system and graphics memory.
Again it is unclear why the authors are going back and forth between systems but proliferation data are shown in the inducible expression system, whereas heterochromatin data are shown for patient cells.
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