Sentence examples for identify intersections from inspiring English sources

There are many opportunities to identify intersections between good business and positive contribution to society and the environment, but a key challenge is and will continue to be externalities.

Such assessment can be performed using existing datasets of crashes, pedestrian counts, and automobile traffic flows to identify intersections or corridors characterized by elevated collision risks to pedestrians.

To identify intersections between CJ and health needs, we calculated Spearman r correlations between concurrent CJ and clinical assessments from women on probation in Connecticut who were enrolled in a clinical trial.

BEDTools was used to identify intersections and unions among genomic features and to manipulate BED files (Quinlan and Hall 2010).

We modified a gene set analysis to identify intersection sets with significantly affected expression for which the changes in the individual gene sets are less significant.

Resulting networks can be loaded into Cytoscape for viewing, merged (with a Merge option in the Networks window) to identify intersection and/or overlap of the networks, or reused for further queries.

Researchers can investigate how sex and/or gender intersect with other significant factors by: 1) identifying all relevant factors, 2) defining those factors, and 3) identifying intersections between those variables.

Identifying intersections between positional and association genetic data is a potentially powerful means to mitigate constraints associated with each approach, accelerating progress toward identifying specific genes that function in biological processes of relevance to agriculture.

Identifying intersections between results from biparental QTL mapping and association genetic data is a potentially powerful means to mitigate constraints associated with each approach, accelerating progress toward identifying specific genes that function in biological processes of relevance to agriculture.

Identifying intersections between positional and association genetic data are a potentially powerful means to mitigate constraints associated with each approach, and nonrandom correspondence of sorghum (panicoid) GWAS signals to rice (oryzoid) QTL adds a new dimension to the ability to leverage genetic data about this important trait across divergent plants.

A systematic approximation scheme was built, allowing to model the initial DFN by a set of N unknowns located at each identified intersection between fractures.