Sentence examples for measure of shape from inspiring English sources

The ST score is a measure of shape similarity, which is defined as the following: (1).

The ST score is a measure of shape similarity, which is defined as the following: S T = V AB V AA + V BB − V AB (4).

The combined distance of feature vectors and skeletal graphs in the database provide an indirect measure of shape similarity between models.

The ST score is a measure of shape similarity, which is defined as the following: ST = frac{{V_{AB} }}{{V_{AA} + V_{BB} - V_{AB} }} (2 where V AA and V BB are the self-overlap volumes of conformers A and B and V AB is the common overlap volumes between them.

S T = V A B V A A + V B B - V A B (3). where ST is the measure of shape similarity (shape Tanimoto), V AA and V BB are the respective self-overlap volume of conformers A and B, and V AB is the common overlap volume between them.

Overall, fractal dimension a measure of shape complexity of the perimeter of habitat patches was significantly lower (based on Monte Carlo simulation) for the agriculture area than the managed-native area, mirroring the fact that habitat edges in the cropland-dominated area were less complex for many of the land-cover types.

Landmark coordinates are not directly comparable as quantitative measures of shape because they are (usually) recorded with respect to an arbitrary set of orthogonal reference axes.

The level of reported anxiety during the exposure to slim bodies correlated with established measures of shape and weight concern and with brain activations in bilateral basal ganglia, left amygdala, bilateral dorsal anterior cingulate, and left inferior lateral prefrontal cortex.

For both measures of shape variability, the amounts of shape variation among individuals and of shape FA were significantly correlated across genotypes (Fig. 2A, B).

These two measures of shape variability were highly correlated with each other, both for individual variation (r = 0.81, P<0.0001) and for FA (r = 0.84, P<0.0001).

Although the two measures are computed from different aspects of variation, they both convey similar information in the context of this study and therefore can be interpreted as nearly equivalent measures of shape variation.