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Since the data were developed for global scale and is at a suitable spatial resolution, the extent of Ethiopia was considered for selected high performance model data output.
A 2-wk laboratory, one for collecting data and the other for analyzing data, were developed for each module.
Administrative data were developed for health system management and monitoring, while the RAI-MDS clinical assessment data were developed to improve resident care.
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Since the prototypes used for this evaluation were mock-ups, made to mimic actual integration with the EHR, no real patient data was used to populate the CRC reminder prototypes (fictitious patient data was developed for our scenarios - see Methods section for scenario development), although the actual clinical reminder system is populated with data from the EHR.
Adequate objective functions relying on the discrepancy between the experimental and numerical modal data are developed for the parameter estimation.
In this work, correlations based on numerous experimental data are developed for diffusional-type mass transfer, both for single drops and drop swarms.
As part of this study, a model to predict personal exposures based on individual time/activity data was developed for comparison to measured concentrations.
Most current statistical and data mining methods for aCGH data were developed from expression microarray analysis.
The first type, which is the most common, stems from the fact that normalization procedures for the original density data were developed primarily for normal samples.
Guidelines for qualitative data were developed after literature review.
The XML-based language IDML and fact file data model were developed for integrating, storing and exchanging information on inherited diseases.
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