Sentence examples for strength of the paths from inspiring English sources

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We first utilize "parallel concepts set (PCS)" and two features (the length and the strength) of the paths between PCSs to design the general evaluation models, based on which we propose eight concrete evaluation models generated by two specific types of PCSs: single concept set and symmetric concepts set.

An insufficient number of minorities precluded our examination of whether racial status influenced the strength of the paths in our model, so further work is needed to examine might possibly moderate these relationships.

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With this algorithm, voxels having no label were assigned probabilities based on the random walkers' computed probability, measuring the strength of the path initiated from labeled signatures to reach the unlabeled voxels first.

On the other hand, the fact that the strength of the path coefficient from L2 linguistic knowledge to L2 listening proficiency was the highest of all provides evidence for the relative importance of L2 linguistic knowledge for L2 listening proficiency, and this appears to implicate the somewhat controversial notion of a linguistic threshold.

Using this approach, significant results indicate a meaningful difference in the strength of the path(s) tested between the groups (regardless of individual path statistical significance in either group).

In addition, the true strength of the path tree data type is its powerful regular-expressions-like query syntax in combination with GiST index support.

If the model fit when the path is unconstrained is significantly improved, as determined by a χ difference test, this indicates that the strength of that path differs among the groups (Protzner & McIntosh, 2006).

Future research, preferably using longitudinal data, is needed to provide a better assessment of the direction and strength of the causal paths in the reciprocal relationships between perceived discrimination within healthcare settings, aspects of mental health status, and healthcare utilization.

The qualitative response is in this case dependent on the strength of the respective paths and can thus not be revealed solely from the structural information represented by the interaction graph.

For transparency we present both models as this approach is comparable to hierarchical regression analysis, so the absolute strength of the various paths depends on additional predictors in the model.

However, in the presence of line-of-sight propagation (strong direct path), the strength of the direct path can be strong w.r.t. the LPs.

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