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Concerns about the safety and confidentiality of the database have been raised.
The JNC-TDB and sorption database have been developed under the auspices of international experts.
Data from the six major contributors to the original Flynn database have been included.
As the solutions to this weakness, the impact identification methods based on the reference database have been proposed.
365,602 compounds from NCI database have been screened by docking study of H1 and N1, respectively.
Three accelerograms (controlling earthquakes), by using the Engineering Strong-Motion database, have been chosen to identify the seism's main characteristics.
Therefore, approximately eighteen million compounds from the ZINC database have been virtually screened against nonstructural protein 3 (NS3).
A cross-platform integrated development environment Qt Creator and MySQL database have been used to develop the system.
Tracks in the database have been tagged with up to 11 moods; each of the moods had 5,000 songs tagged manually, and then machine learning took over.
The data from the US patent reassignment database have been cleaned and processed and a subset of 95,542 granted patents that have been traded has been identified.
The patient selection criteria for generating the normal database have been summarized elsewhere [19 22].
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