Sentence examples for deviation in the performance from inspiring English sources

For areas with a variable rainfall pattern and with equal probability of occurrence of normal rainfall, moderate stress or severe stress situations, breeders should combine MYI with a positive deviation in the performance of genotypes under all situations in order to select a variety with better performance under all situations over current varieties.

We note that the conditional inference tree prediction model performed consistently with different choice of survival time boundaries (data not shown): no significant deviation in the performance was observed when different cut-off times for relapse were chosen.

As we show in the simulation section, all these differences lead to significant deviations in the performance of the two protocols.

In fact, even for highly drought-prone areas, combinations of DYI and deviations in the performance of genotypes from that of current varieties will enable breeders to select genotypes with yield very near that of current cultivated varieties under irrigated normal situations in addition to their higher yield under moderate and severe drought situations.

Moreover, children with 22q11.2DS seem to exhibit a generally impaired cognitive performance, which is more variable than in the non-deleted population (as indicated by larger standard deviations in the performance of children with 22q11.2DS in relation to their siblings).

We observed no significant deviations in the performance measures reported earlier in the text and, therefore, concluded that the performance of our algorithm is not an artefact of our weighting scheme.

We observed no significant deviations in the performance measures reported above and hence concluded that the performances observed were not biased toward the pathogenicity weights employed (see Supp. Table S2).

From this analysis, we observed no significant deviations in the performance of our algorithm and, therefore, concluded that the performances observed were not an artefact of the weighting scheme used.

On the other hand, we note a large deviation in the detection performance of the multichannel detector, between real and simulated data.

We also observe that the variation (standard deviation) in the ANN model performance (validation error) is much higher than that of the Hill model.

To alleviate the potential bias in our method, we performed a leave-one-out analysis and found no significant deviations in the observed performances; we therefore concluded that the performances observed in FATHMM were not an artifact of the weighting scheme employed.