Sentence examples for with a random individual from inspiring English sources
As in familial identification, a chance partial match of a mixed crime-scene sample with a random individual has greater probability in a low-diversity population, so the probability of a false-positive partial match is likely to exceed the corresponding probability in a more diverse population.
But without enough controversy or comment to get it through to a second day of coverage we were left with Brandis' evaluation, "There was a random individual who turned out to be a terrorist yelling at the side of a room for about three seconds".
This suggests that there is a 0.91 probability of classifying a random individual with psoriasis correctly relative to a random individual without psoriasis.
To avoid pseudoreplication, we analyzed temperatures sampled repeatedly from the same individuals in linear mixed effect models with a random effect "Individual" [63].
Due to the fact that dwarf males and shoots within colonies are not independent samples, genetic diversity estimates on population level were based on a mean of 1000 permutations with one random individual from each colony sample (dwarf male or shoot).
And if users aren't making themselves searchable by phone number on Facebook, as was the case with the random individual I found, it stands to reason that they wouldn't want their information shared via the Contacts app, either.
Genotyping of a single random individual from each population with the same genome-wide set of SNPs showed that all 201 samples were different genotypes.
For the 539 (93.4%) children/adolescents in Tanner stage 1/2 at first assessment, all height measurements aged above 5 years (after which growth is approximately linear [ 14]) were modelled separately for males and females using multilevel models with a random intercept and individual random slopes for each genitalia (male) or breast (female) Tanner stage (unstructured correlation matrix).
This section includes the impact of network traffic on first scenario having group mobility (Fig. 6) and second scenario with random individual node mobility (Fig. 7).
New hierarchical modelling techniques for inference reveal high-dimensional differences among species that can be quantified with random individual and temporal effects (RITES), i.e. process-level variation that results from many causes.
Interviews were performed with a random subset of individuals who agreed to participate.
