Sentence examples for draw correlations between from inspiring English sources

Attempts were also made to draw correlations between the PEMFC performances with the three types of membranes and their physico-chemical characteristics.

Hackers now have "almost a big-data mentality," Jackson says, in that they routinely deal with huge amounts of information and can draw correlations between disparate sets of stolen data to piece together whole identities.

This methodology will be used to screen a large number of biomaterials simultaneously and to draw correlations between material properties and DC phenotype, thereby providing biomaterial design criteria and immunomodulatory strategies for both tissue engineering and vaccine delivery applications.

We calculate the chemical binding energy of carbon as a function of its surface coverage and we study the local chemical environment via its electronic structure to draw correlations between the thermodynamic (de)stability of these unwanted carbidic structures.

A recent study by North Dakota State University, for instance, used dietary intake data collected by the federal government to draw correlations between decreased consumption of soda from 1999 through 2010 and improvements in the biomarkers that indicated cholesterol and other chronic diseases.

You might even use worker cost data and worker quality scores to draw correlations between performance, salary, attrition and reasons for leaving that improve retention.

In addition, they drew correlations between methane levels and other gases that were observed at the time.

As an advisor to the White House and to the World Health Organisation, he drew correlations between exercise and fitness that triggered a revolution in thinking on the subject in the 60s and 70s.

Progress in this field has been hindered by the difficulties in drawing correlations between human sensory outcomes (e.g. softness, smoothness, leather-like feel) and quantitative physical properties (e.g. friction coefficient, elastic modulus).

Part of the problem is drawing correlations between skill sets in order to find the right position.

The company showed off a unique "insight engine" which automatically draws correlations between various metrics, helping users to quickly identify what may be driving trends or anomalies.