Sentence examples for mean density distribution from inspiring English sources

When applied to bones, statistical shape models (SSM) and statistical appearance models (SAM) respectively describe the mean shape and mean density distribution of bones within a certain population as well as the main modes of variations of shape and density distribution from their mean values.

Unlike previous related studies by the same authors, in which the mean density distribution through the flame brush is specified from experiment in order to concentrate on the fluid mechanics of the problem, the mean density is computed in the present work.

For each masking condition, we plotted the mean density distribution of each set (cavity-empty and cavity-occupied) as separate histograms in one plot.

Image analysis assessment of the mean density distribution of CB IR in all subfields of the hippocampus) displayed the highest levels in the GL while the lowest was noted in the PL area in all the three groups.

We tested the statistical significance of our classification by performing t-tests on histograms that compared the mean density distribution of the cavity-empty group against that of the cavity-occupied group under three separate masking conditions, to examine the density variations across different regions of the subvolumes.

The mode value (absolute maximum) of patients' ICI means density distribution was found at the 14 days interval; a relative maximum in addition can be seen near an interval length of 90 days, likely to be due to quarter-annual visits, which are typical within the German prescribing and remuneration system.

(B ) Mean-density distributions for cavity-empty TRiC (blue) and cavity-occupied TRiC (green) sets, masking the particles to (i) include all the density in each particle, (ii) include the cavity of each molecule only, and (iii) include TRiC density but exclude the cavity.

The total recount of all cells in September 2007 revealed some dramatic changes in mean density and distribution in the plots (Fig. 3 b, c).

The relative difference of mean and point density distribution (along mean) of the two sets can be derived from the average and standard deviation.

Besides, the relative difference between the mean and point density distribution of the two sets was determined by the mean and standard deviation.

The novel method has the advantages of robust to large gaps/registration errors, possessing least squares means and uniform density distribution.