Sentence examples for three principal axis from inspiring English sources

It was found that the coefficients of diffusion and swelling are different in three principal axis of the composite.

Three principal axis factor analyses with Varimax rotation were performed, and three components were extracted for each individual group, accounting for 52.32 %, 72.34 %, and 65.42 % of the variance of the user-specific questionnaires for physicians, MRS, and patients, respectively.

The three principal components are the axis lengths of an ellipsoid that approximates the pocket boundary.

The seven putative Hox genes of Nematostella are expressed in three principal domains along the primary body axis and, collectively, these account for practically the entire axis: the pharynx, the body column, and the aboral extremity.

Structure-1 exhibits anisotropic auxetic behavior while structure-2 shows uniform auxetic behavior in all three principal directions with all on-axis Poisson's ratios closer to the limit of -1.

The coordinates of the six varieties on the first principal axis were used as a composite variable, which expresses the most possible variation in the amino acid data.

Figure 4 shows polar histograms of the principal axis directions for three frequency bands obtained during this study; the lower frequency band (1 to 100 Hz; Figure 4b) is dominated by N30°W and N60°E directions, whereas the higher frequency band has N and E dominated directions (100 to 10,000 Hz; Figure 4c).

Parallel analysis and Exploratory factor analysis using principal axis factoring produced six factors in the developed instrument: knowledge and beliefs, behaviours, sources of information, adherence, awareness about antibiotics resistance, and parents' perception regarding doctors' prescribing behaviours.

Two factors, SR and SC, emerged in exploratory factor analyses using principal axis factoring and varimax rotation; the two factors accounted for 39.5% of the variance.

Findings of lower FA in patients with schizophrenia likely reflect two inversely related signals: reduced density of principal axis fiber tracts and increased off-axis diffusion sources.

PHPCA uses a geometric partitioning to first divide the image into four areas, and then it estimates the principal axis for each area.