Sentence examples for endpoints c from inspiring English sources

In [ 40] it is defined as (2) B = C u C υ / C u, υ, where (u, υ) is the edge with u, υ being the endpoints, C uis the size of the maximal clique containing vertex u and C u, υ) is the size of the maximal clique containing (u, υ).

Moreover, the TIMI UA/NSTEMI score showed better discrimination for mortality alone (C = 0.74) than for the composite endpoint (C = 0.65) within its original validation cohort [2].

a n = number of subjects with endpoint b See Table 5 for further definition of endpoint c Where possible exposure is classified as "current" or "former" with exposure given as "use" only where the source paper did not clearly distinguish how former users were considered.

Evaluation of predictive performance yielded a modest ability of the Cox regression to predict the virologic endpoint (c-index≈0.70), while RSF showed a better performance (c-index≈0.73, p < 0.0001 vs. Cox regression).

If the endpoints of C belong to ∂ R, then C separates ℛ into two connected components, namely W − : = { x ∈ R ∖ C : ∃ y ∈ C  with  x ⪯ s e y } and W + : = { x ∈ R ∖ C : ∃ y ∈ C  with  y ⪯ s e x }, such that the following statements are true.

The endpoints of C lie on ∂ R. x ¯ ∈ C. C the graph of a strictly increasing continuous function of the first variable.

In the latter case, the set of endpoints of C is a minimal period-two orbit of T. The situation where the endpoints of C are boundary points of ℛ is of interest.

Any endpoints of C in the interior of R are either fixed points or minimal period-two points.

Any endpoints of C in the interior of ℛ are either fixed points or minimal period-two points.

In the latter case, the set of endpoints of C is a minimal period-two orbit of T. Theorem 5 (Kulenović & Merino).

The neural network is used to predict the gasoline endpoint with C and other process parameters as its input.