Sentence examples for derived statistics from inspiring English sources

To calculate the anisotropic statistical potential for RNA-ion contact prediction, we derived statistics for the most common cations from 50 RNA structures containing Mg2+ (182 binding sites), 25 RNA structures containing Na+ (88 binding sites) and 38 RNA structures containing K+ (123 binding sites).

As applications, we have demonstrated how the derived statistics can be utilized for designing the optimum coherent receiver, derivation for the expression of probability of bit error rate, derivation of MMSE channel estimator for Rayleigh fading, and derivation for the probability of outage in fading environment.

Summary of derived statistics for measurement model is shown in Table 3.

Moreover, optimum coherent reception using maximum likelihood (ML) criterion is investigated based on the derived statistics of MAI plus noise and expressions for probability of bit error are obtained for these fading environments.

The number of citations that an article receives, with all its derived statistics, is likely the most effective estimate of the impact the article is having on the scientific community.

In the analysis phase, they analyze the efficiency of the produced plan with respect to the derived statistics, and finally, in the reoptimization phase, they build a new query plan if the statistics indicate that the runtime plan is inefficient.

Meanwhile, the brute-force MCS approach is used for comparison of GP metamodel-derived statistics.

However, a complete bibliometric analysis that involves gathering information and deriving statistics on an author, topic, or country is laborious when consuming Web Services on the command-line or using low level automation.

We did not provide the exact numbers to avoid their misuse (in combination with potentially other public data) to derive statistics about vulnerabilities in SAP products, which would be outside the scope of this work.

The elaborate algorithms we use to derive statistics are sometimes based on faulty assumptions or hidden biases.

Hence, one could derive statistics for the distances between motifs instead of using windows (see Fig. 1).