Sentence examples for metrics to study from inspiring English sources

And the last one used different usability metrics to study the importance of metrics.

We decided to define new metrics to study and compare insertion forces profiles because average force seems hard to interpret.

We therefore used our metrics to study the influence of FOX and SP1 cofactor sites near hERα ChIP sites on the induction of target genes.

It is widely hypothesized that many uncommonly measured geochemical parameters affect community dynamics and this study leverages the development and application of multidimensional biogeochemical metrics to study correlations between geochemistry and microbial ecology.

However, these peculiar serovar distribution patterns blended with their spatial and temporal factors (ten selected irrigation ponds surveyed for 2 years) and provided a set of valuable metrics to study the underaddressed issue of survival of Salmonella in environmental water, such as irrigation pond water.

However, further whole-network analyses did not lead to a unified view on what this relation may look like, with conclusions highly dependent on the type of molecular interactions considered and the metrics used to study them.

In large data sets, data compression to date has mainly been accomplished through reduction techniques operating on redundancy in landscape metrics: through this compression, the number of metrics to consider in a study is greatly reduced.

Finally, new human performance metrics were introduced to study in details an athletic skill.

A set of landscape metrics is used to study the long-term environmental transformation of a typical coastal Mediterranean area from 1850 to 2005.

In this paper we employ the link-node representation of water infrastructures and exploit a wide range of advanced and emerging network theory metrics and measurements to study the building blocks of the systems and quantify properties such as redundancy and fault tolerance, in order to establish relationships between structural features and performance of water distribution systems.

The training algorithm is selected, and error metrics are evaluated to study the efficiency of classification of keys.