Sentence examples for success identification from inspiring English sources

Simulation results indicate a success identification rate of more than 90% for the MPSK and MFSK signal at the SNR from −10 dB to 40 dB, but only an identification rate of nearly zero for the CMPSK and CMFSK signal.

Compounds were then developed and were shown to block the binding of an α-helix peptide from FtsZ.[ 15] Fesik and colleagues recently used a fragment-based approach to develop small molecules that prevent Sos binding to K-Ras by binding at a surface site of K-Ras.[ 16] Despite these successes, identification of fragments at PPI sites is not always possible.

For 13 families, the rates of successful identification were more than 80%; success rates for identification fell below 70% in only seven families (Fig. 3).

He helped Dr. Guillemin to his first success, the identification of TRF, or thyrotropin releasing factor.

Almost a complete success in identification is achieved when we use additionally data from low latitude observatories and imposing their simultaneity.

Despite strong evidence for heritability, genome-wide association studies have had little success in identification of risk loci associated with epilepsy, probably because of relatively small sample sizes and insufficient power.

Both algorithms had some success with identification of individuals to genus with 63 93% of query sequences correctly identified depending on the marker used (Figure 2).

With regards to correct species assignment using BLAST, two (trnH-psbA and matK) of the three barcode loci showed similar success in identification of LFDP and BCI taxa for both species and genera at 98 100% and 100%, respectively (Table 2).

The success of identification of variants associated with complex traits using genome-wide association studies (GWASs) has been established over the past two years.

Friedman's variance test was carried out in order to check for variations throughout time in the median scores of success in identification of items.

A disadvantage of network alignment is that despite its success in identification of conserved modules in multiple species, it offers limited coverage compared to graph clustering methods.