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In recent years, various organizations like IBM, Google and Microsoft have developed data centers in which thousands of machines are running and consuming large amount of energy.
Some DOTs, such as the Virginia Department of Transportation, have developed data collection requirements to guide vendors on how to generate automated data of acceptable quality [136].
Intending to promote utilization of the method in civil engineering applications, we have developed data acquisition and processing techniques, and conducted field experiments to study its feasibility.
In addition to studies of classic CPSI deficiency, we have developed data for the EDGE concept in post-cardiac surgery-related pulmonary hypertension, hepatic veno-occlusive disease after bone marrow transplantation, and persistent pulmonary hypertension of the newborn.
Unfortunately, only a handful of states and districts have developed data bases that would enable school officials to track the performance of individual teachers and students over a multi-year period.
The researchers have developed data collection instruments (checklists and formats).
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ERG (Arase) science center has developed data analysis tools for Arase data as well as for those from other spacecraft missions and ground-based observation networks.
This Indiana Health Information Exchange has developed data sharing agreements between all participating providers within the contexts of federal laws (i.e., HIPAA and FERPA, described below) to produce a system of "federated data vaults" that are housed at the Regenstrief Institute [ 45, 46].
To date that has focused strongly on India, where Google has developed data-friendly "lite" versions of popular apps like YouTube, and initiatives like public Wi-Fi for India's rail network that's used by more than eight million people.
To overcome extensive training in SQL*LIMS™ and to make proteomics data available, we have developed a data transfer tool (DTT) as shown in Figure 1.
We have developed a data collector to gather the experiment data.
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