Sentence examples for improving set of from inspiring English sources

"This is especially encouraging because, after all, manufacturing has been the hardest hit in the last couple of years," said Carl Tannenbaum, chief economist at LaSalle Bank, "and its recovery is thought to be central to an improving set of economic conditions in general".

But the Internet has provided a new and, some say, vastly improved set of tools to generate it: not just e-mail blasts but also Web sites, banner ads, search-engine pop-ups and blog coverage.

An improved set of plotting positions based on the mean values of the order statistics are derived, together with a means of obtaining the standard deviation of each position.

This includes both an improved set of descriptions about each privacy setting and an updated privacy statement.

After the installation, the distribution contains a vastly improved set of runtime management and monitoring capabilities to enable optimal runtime performance," he explained.

An improved set of meta-attributes is further discussed in [28], and we make use of the following measures presented in there: 1. Number of examples (N)   2.

Collins et al. (30) reprocessed the data from Gavin et al. (31) and Krogan et al. (32) to obtain an improved set of pairwise interactions.

To further assess closely related variants, all sequences identified as PTs or TPSs were isolated from the larger sequence datasets and re-assembled using Phrap [ 41] to obtain an improved set of PT and TPS candidates.

An improved set of genomic resources for bumblebees would facilitate further studies in the bumblebee, and comparisons with other bees such as the honeybee, Apis mellifera, where the genome is already sequenced [ 32].

An improved set of measurement approaches for inequities would advance the field, but it is important to recognize that this is a complex undertaking given the number of mechanisms in the pathway that may be shaping inequities and their specificity to different types of health conditions.

The algorithm uses high-scoring sets of similarly expressed nodes as seed data and iteratively improves sets of seed genes by considering the addition of connected nodes and improvement in module score.