Intraclass correlation coefficients (ICCs) were excellent, ranging from rICC=.91 for number of strategic clusters, to rICC=.79 for mean cluster size.
Extrapolation of the relationship between the mean cluster size and absorbed dose (c.f. Figure 5) of 2.4 Gy gives a mean cluster size of 5.7 and a maximal cluster size of 12 microspheres per cluster.
We relate EI to many relevant extremes in networks like order statistics, first hitting time, and mean cluster size.
Several useful applications of EI (first hitting time, order statistics, and mean cluster size) to analyze large graphs, known only through sampled sequences, are proposed.
Its focus lies on estimating the proportion of points lying in clusters, the mean cluster size and the mean cluster radius without depending on prior knowledge of the parameters.
This paper proposes a combinatorial optimization based systematic methodology for obtaining an optimal degree of decentralization on the basis of two metrics – one for optimality (defined as Coupling Loss Factor) and one for robustness (defined as Mean Cluster Size).
From the water content at sorption equilibrium and the steady-state permeability, a mean diffusion coefficient for the steady state can be determined; its decrease with increasing water activity is consistent with the increase in the mean cluster size.
However, when a Ar flow rate reach some value the mean cluster size decreases since Ar will also sweep the cluster through the aggregation zone more rapidly, this reducing the time for particle growth.
A continuous decreasing in mean cluster size was also observed with the increasing in He flow, which reveals its effective role to reduce the size by reducing the associated residence time in the aggregation zone.
The BET-type III sorption isotherm obtained by microgravimetry was analyzed with the Zimm Lundberg approach to determine the mean cluster size in the UPR film: the latter increases drastically with the water content in the film.
