Sentence examples for dominant variation from inspiring English sources

Those who, by chance, had long, prime-numbered life spans fared best, survived longest, and left the most offspring, becoming the dominant variation of the species.

The resulting microstructures of the films correlate to dominant variation in mechanical properties and deformation mechanisms.

After finding possible associations between the dominant variation of seasonal precipitation and global SST anomalies through the integrated empirical mode decomposition, wavelet analysis, and lagged correlation analysis, the statistically significant SST regions were extracted to identify both known and unknown teleconnections.

This is undertaken in two steps, namely (i) investigation of ( z_{i}^{ circ } ) to ascertain its most dominant variation characteristics and (ii) determination of future variation values on the basis of ( z_{i}^{ circ } ) most dominant trend or fluctuating characteristics.

The Japanesque was not the only, or even the most dominant, variation of the Craftsman style.

Like cloud cover, the dominant variation in temperature is the seasonal variation: the temperature peaks once a year in the summer.

Within a super-cluster, the dominant variations appear to be hair style, pose, gender, and lighting conditions, which are less dependent on geographic location.

In so doing, it captures the dominant variations in the data set.

Also consistent with what was observed with pre-miR-142, the 3' ends of pre-miR-342 showed two dominant variations as well as some untemplated addition of nucleotide (A or U) at a low frequency.

The results show both ends of miR-342 have two dominant variations respectively, and can be assembled into 2 perfect pre-miR-342s (Figure 4), suggesting that Drosha processing shift occurs in miR-342 and generates two pre-miR-342s from one pri-miR-342.

However, since PCA represents the dominant variations within the respective data sets, normally the vectors Gl, quantifying the contribution of all genes to eigenvector l, depend on the composition of the data sample.