Sentence examples for identified intersection from inspiring English sources

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.

The aqueduct was then manually identified (intersection of white lines) and six voxels (yellow circles), three anterior, and two posterior to the aqueduct are reconstructed at 9-mm intervals along the midline (Fig. 1).

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.

In addition, Küffner et al. [ 4] used Petri nets to compare database contents and define differential metabolic displays (DMDs), which allow to compare metabolic networks by identifying intersection and difference sets of reactions.

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.

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.

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).

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.