Sentence examples for candidates as a function of from inspiring English sources

The numerical complexity of all candidates as a function of the length of the transmitted data sequence is illustrated in Fig. 8.

For a larger group of 80 scientists the predicted output is around 2. Plotting number of preclinical candidates as a function of time for both working groups reveals that compounds are predicted to pass the candidate selection milestone and enter preclinical development at irregular intervals (Figure 18).

We show how the number of candidates varies as a function of p and q (Fig. 3), and the investigator may use this relationship to pick an optimal number of candidates to pursue for further testing based on their resources.

Figure 1 (left) presents the Lowes-Mauersberger spectra i0R n (defined in (3)) of the DGRF-2005 candidate models as a function of spherical harmonic degree plotted at the Earth's core-mantle boundary (r = 3480 km).

The model therefore predicts that careful project management will be necessary to match discovery output over time with downstream development resource capacity. Figure 18 Time chart showing simulated preclinical candidate output as a function of year for a working group comprised of the following: (A) 10 chemists and 10 biologists with an average output of 0.6.

Extracting the values along the diagonal and plotting output (average number of preclinical candidates per year) as a function of the number of chemists affords a biphasic curve [28] that can be empirically modeled using Equation 6 (Figure 10).

This means that the number of candidate hashtags grows as a function of the number of terms in the tweet (t) and is bound from above by the total number of hashtags in the corpus (H).

The model further predicts that the frequency of compounds to successfully pass the candidate selection milestone as a function of time will be irregular, with projects entering preclinical development in clusters marked by periods of low apparent productivity.

Simulations also predict that the frequency of compounds to successfully pass the candidate selection milestone as a function of time will be irregular, with projects entering preclinical development in clusters marked by periods of low apparent productivity.

As an alternative, chunk-based models posit that the sensitivity to statistics results from other processes, whereby many potential chunks are considered as candidate words, then selected as a function of their relevance.

The prior probability and, therefore, the prior odds, of a candidate model are formulated as a function of regulatory potentials.