Sentence examples for means that random from inspiring English sources

Community support for these self-destructive illnesses is not unlike the first wave of pro-ana virtual communities of the late 1990s, though the nature of an image-based social networking service means that random friendships occur more easily thanks to hashtags, and an emphasis on imagery that dangerously ratifies the erroneous assumption that only skinny women are beautiful.

This means that random inhomogeneities beneath the volcanoes are rich in short-wavelength spectra.

This means that random page attacks generate disordered sequences, while other attacks generate natural sequences by mimicking normal behaviors.

It also means that random strangers anywhere in the world may be able to see a picture of the outside of your house.

The correlation between OUV and PCH scores means that random walk like DNA composition is strongly associated with intra-genomic heterogeneity, as measured by the different Markov model based genomic signatures.

The large number of possible graphs in this network model means that random sampling to estimate distributions of network properties may fail to capture evolutionarily important parts of the space of all possible networks.

It accomplishes this through means that extend beyond random variation and selective filtering.

Additionally, although the large sample in this review meant that random variation should have had little effect on the estimates of difference, reporting methods frequently varied between studies (such as for units of measurement, summary statistics, and cut-off points).

Mutations arise at random, but clearly this does not mean that evolutionary change is random.

For example, according to the logic of null hypothesis significance testing, an E-value of 10 does not mean that the sequence alignment is likely to be random — it simply means that a random alignment could easily have resulted in the observed level of sequence similarity.

The random forest is a bagging algorithm, which means that the random forest consists of a number of weak classifiers [12], which has zero bias but high variance of the true value.