Sentence examples for a component that describes from inspiring English sources

The next comparable components are the fourth rigid-only and the second non-rigid; here, we see a component that describes the correlation between an increased occupancy of the terminating half-plane with an outward displacement of the adjacent planes.

Our biophysical model includes a component that describes how the strength of interaction between bound TF molecules depends on the arrangement (distance and relative orientation) of their respective binding sites.

A plug-in within the SAF context is a structured component that describes itself to JPF using a manifest, which is an XML document with a specific schema.

From these three measures we extracted a single principal component that described 80 percent of the variation in the three body size measures.

Each method utilizes a likelihood component that describes the probability that a set of mutations occurs between two pathogen samples from different hosts, given their epidemiological relationship.

Like online course settings, we find the surveys available for face-to-face classrooms to be missing an element that describes components of effective laboratory teaching.

Existing routing metrics independently describe intra-flow interference and inter-flow interference, so measures should be taken to make the component that describes the intra-flow interference around the same value range as that describes the inter-flow interference.

Routing metrics for WMNs have been proposed in the past few years [13 22], in which intra-flow interference and inter-flow interference are described independently, so measures should be taken to make the component that describes the intra-flow interference around the same value range as that describes the inter-flow interference.

Click here for a table of feed ingredient components that describes the nutrients provided by each components.

Additionally, the number of components for PCA/PLS (n for the 1D methods, n r and n C for the 2D methods) were selected based on the number of components that describes the 90% of the total variability of the dataset.

The covariance of the model are parameterized such that where the set of Λ's are hyperparameters that will be estimated in the model and the Q terms are a set of covariance components that describe a priori expectations about the structure of the covariance model.