Sentence examples for database expansion from inspiring English sources

The DNA database expansion was resolved more amicably.

Mr. Cuomo says he supports both reforms but had to omit them to reach a compromise on the DNA database expansion.

The governor's plan has passed the State Senate by a vote of 60 to 1. Sisa Moyo, a spokeswoman for the Assembly speaker, Sheldon Silver, said the Assembly was working on its own database expansion proposal.

Steven Banks, the attorney in chief of the Legal Aid Society, said that failing to link database expansion to wrongful-conviction reforms would be "to essentially turn a blind eye and focus only on one part of the problem involving DNA".

The product of this database expansion effort was developed using both manual and algorithmic curation techniques.

Additionally, through the targeted database expansion, it is shown that the predicted cetane number of the furan-based molecules improves on average by 49.21% (3.74 CN units) and significantly for a few of the individual molecules.

It argues against the NDNAD's blanket and indiscriminate retention of DNA samples and profiles of non-convicted individuals under the justification of the database's expansion in order to enhance public protection.

To obtain an approximation of the magnitude of diameter measurement error for FIA-reported volume, we followed the example of Phillips et al. [5] and took a simple equation form, calculated standard error from a 2% DBH measurement error for each tree in the database, applied expansion factors, and summed to the NWOR level.

The latter strategy can be generalized to handle effective database size expansion due to inclusion of SAPs and PTMs.

To obtain an approximation of the magnitude of diameter measurement error for FIA-reported volume, we followed the example of Phillips et al. [ 5] and took a simple equation form, calculated standard error from a 2% DBH measurement error for each tree in the database, applied expansion factors, and summed to the NWOR level.

It is not only of interest in the fields of web information retrieval, but can also be used in the contexts of, e.g., reverse engineering of databases, ontology expansion and deep web data mining, as both simple lists of data and complex structures can be extracted.