In both cases, the distribution of zones with greater and lesser accessibility is maintained throughout the day.
However, in both cases, the distribution of basal bodies appeared relatively normal.
Yet, in both cases, the distribution of changes fixed was only slightly off-centered, with almost as many changes towards increased complexity than towards decreased complexity.
Quantitative trait analysis was performed with MapQTL6 (http://www.kyazma.nl/index.php/mc.MapQTL/) using first the non-parametric Kruskal-Wallis test because in both cases the distribution of the trait was not normal.
In both cases, the distribution seems to follow a power-law, that is, the probability that a randomly chosen node has degree k, is Pr [ K = k] ∝ k-α where the parameter α, is the exponent of the power law distribution.
In both cases, the distributions for different system sizes have only small changes which can be accounted for by noise.
From the analysis of these figures, it emerges that in both cases the distributions produced by the two community detection algorithms are very similar.
In both cases, the distributions are similar, i.e., Arg, Lys, Ser, Thr, and Asn establish the largest number of hydrogen bonds with both the organic compounds and the DNA molecules, while Phe, Met, Cys, and Pro establish the smallest number of hydrogen bonds with both types of ligands.
In both cases, the probability distribution of errors was a Poisson distribution.
In both cases, the pore distribution and morphology are affected by the presence of the metal pattern.
In both cases, the length distribution was found to be well accounted for by a log-normal function of the form: p L, L 0, s L = 1 2 π β L s L L exp − ln 2 L / L 0 2 β L s L 2 (7) Figure 8 Phase-contrast optical microscopy images (×10, ×20, and × 40) of a dispersion of nanostructured wires.
