Sentence examples for are only random from inspiring English sources

The song "Orlov's Story" includes a Russian lullaby which music editor Joe E. Rand found at Amoeba Music, and which served for inspiration for the choir heard in other tracks – but the chants in the rest of the score are only random syllables, as Rand and Howard thought actual Russian words would spoil about Salt's allegiance.

On the basis of the data in Table  4, there are only random differences (p > 0.05) associated with either the laboratory or the DNA source.

"It is only random luck that I am still here.

It is only random circumstance that allows his behavior to be viewed in a new, heroic light at the end of the film (again, assuming that the climactic chase actually occurred in the film and not in Ronnie's head), which turns the film around and makes a judgment on the audience instead of just Ronnie.

In the same way Costes and coworkers derived a statistical significance test to evaluate the significant correlation in a pair of images [3], we derived a statistical significance test to evaluate the probability (P) that the measured value of R from the two images is significantly greater than values of R that would be calculated if there was only random overlap.

In the human HD brain, grades 1-2 (with approximately 2-year clinical manifestation), the degeneration and loss of neurons were only random; therefore, the loosening of the neuropil has not been apparent yet.

This is an important distinction between our work where multiple pattern formation processes maintain complex structures and intracellular signaling states, against studies of in vitro cell signaling where there is only random heterogeneity across the spatial domain.

The initial observations suggested there were only random variations and no statistically significant changes in whole-blood expression between postexposed and baseline samples in individuals without metal particulate exposure.

Second, we assume that all resemblance between relatives is due to additive genetic covariance, so that there are only two random effects in the model.

Where the observed values are only missing at random, deletion estimates could be biased, ML estimates are asymptotically unbiased [ 32].

Furthermore, manual comparisons are only possible for small (random) subsets of event.