Sentence examples for efficiency of the random from inspiring English sources

The efficiency of the random beamforming technique strongly depends on the number of precoders.

At the same time, we preserve and increase the efficiency of the random access feature through combining OFDMA with CSMA.

The end-to-end ligation of an RNA chain (cyclization) should be similar in efficiency to the random ligation of two different RNA chains, so P EL should be of the same order as P RL.

The end-to-end ligation of an RNA (or DNA) chain (i.e., cyclization) should be similar in efficiency to the random ligation of two different RNA (or DNA) chains, so P EL should be of the same order as P RL.

To assess the efficiency of the library, random plaque-forming unites were converted into phagemids and sequenced using the T7 primer to determine the presence of an insert.

The identification of specific locations visited by highest strength nodes has the clear benefit of improving the efficiency of a random immunization campaign, when this campaign is conducted in specific locations.

However, targeted attack on high degree nodes caused the global efficiency of the brain network to deteriorate more rapidly than the efficiency of a random graph (Fig. 2A).

Second, the efficiency of any random approach is limited to a maximum of 1 6 because a fusion protein can only be produced if the GFP coding sequence lands in the correct orientation and reading frame with respect to the target coding sequence.

Our empirically determined estimate of the efficiency of random sequencing in cultivated tomato is 3.5% SNP discovery on a per gene (EST) basis, an estimate that is influenced by the 1/8,500 bp occurrence of polymorphism and the unequal distribution of polymorphism within genes [ 15].

Furthermore, it has been shown that a common feedback channel is essential for ensuring the bandwidth efficiency of random network coding in the multicast/broadcast system.

In order to fit data or theoretical distributions to PH, the paper compares and discusses two PH fitting algorithms: the Moment Matching (MM) and the Expectation Maximization (EM) methods in terms of accuracy, computational efficiency and the available information of the random variables to fit.