Sentence examples for fit markers from inspiring English sources

The cap and goggles now have fit markers, which allow the athletes to feel if they're aligned properly without using a mirror.

In each iteration of a Monte Carlo Markov Chain, every SNP was subjected to a likelihood ratio test that determined the probability that SNP would be included in the model given the fixed effects and currently fitted markers, and that SNP was then included in the model in that iteration with the calculated probability.

Saatchi et al. [ 32] in a study on Hereford beef cattle showed that, with BayesC, accuracies of genomic predictions increased as π increased from 0 to 0.95 and 0.99 (fewer fitted markers in the model) for almost all studied traits.

Linkage groups were constructed and ordered with a linkage LOD of at least 6.0, a minimum recombination fraction of 0.35, and a jump threshold of 5. SNPs exhibiting "suspect linkage" to several loci within their assigned group (as determined by JoinMap), poorly fitting markers within an ordered group, and markers that greatly inflated the linkage group size were dropped from the final mapping.

A second goodness-of-fit marker is the absence of systematic structure in the residuals in the time and spectral domain (i.e. exhibiting random noise only).

Prior to this point, BMW had fit adhesive markers on the same joint locations on swimmers, sans the LEDs.

More complex mathematical models have been proposed to fit additional markers such as liver enzymes level [ 28] or pharmacokinetics data [ 29].

The importance of caregiver perception of goodness-of-fit, or connection with a child, was underscored by the association of these staff perceptions of fit with markers of caregiver expectations for the child's future and caregiver warmth.

The way it works is that you have to sit in front of a PC that's connected to the robot, wearing special gloves fitted with markers (see the picture above).

The other two methods involved fitting all markers simultaneously as random effects, modeled in a Bayesian framework [ 21].

Single-SNP analyses models that accounted for population structure, or not, were compared with models fitting all markers simultaneously.