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The data were deployed to develop and evaluate a five-protein biomarker signature for colorectal cancer detection.
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The remaining four models deployed for evaluations were as follows: (i) both code and data are deployed to the premise (Private-Premise); (ii) data is on-premise and code is in the cloud (Naive-Hybrid); (iii) data is on-premise and code is partitioned (Split-Code); and (iv) both data and code are partitioned (Cross-Tier).
Although the initial goal was to develop a single register, delineation of functions within health facilities required five registers to collect clinical data when staff were deployed to outreach activities.
Five prototypes fitted with data measurement and acquisition were deployed to families in rural Malawi in order to evaluate real-life performance of the technology.
Regression models were deployed to analyze data derived from NC calculations, differential scanning calorimetry and axial CT scans.
The best networks were deployed to unseen data and were capable of predicting the velocity time series via using the sliding window technique successfully.
Five nurses and one supervisor were deployed to facilitate data collection.
A total of seven survey teams, each with 8 members were deployed to collect data over a period of 30 days between July and September 2009.
These metrics illustrate how new traffic data can be deployed to monitor traffic congestion at different times and in different locations in even more detail for large urban areas.
Modular data centers will be deployed to forward bases.
Method: A mobile-based data collection effort was deployed to measure signs under the Utah Department of Transportation's (UDOT) jurisdiction.
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