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The next layer is procedure partition contact network (α = 1).
Each procedure partition is composed by four kinds of social relation structures, and new edges are added among passengers in the same procedure partition.
In the terminal we investigated, personal contact network was defined by following four layers: social relation structure, procedure partition, procedure area, and the whole terminal.
In the investigated terminal, personal contact networks are defined by following four layers: social relation structure, procedure partition, procedure area, and the whole terminal, which is shown as Figure 2.
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This procedure partitions total genetic variation among the different sampling sites or clusters of sites in order to reveal hierarchical patterns of spatial differentiation.
This procedure partitions the variation inherent in distance matrixes (in our case matrixes in which elements are color distances between eggs), and uses permutation tests to inspect the significances of those partitions (so called pseudo-F tests).
The procedure partitions the given region into two parts and performs recursive calls on each part.
The statistical procedure partitions the human genome according to occurrences of a given MLL1 morpheme in CGIs and in regions outside CGIs.
The BPPS procedure partitions a multiple sequence alignment into two, functionally divergent subgroups by identifying a pattern that is conserved in one of the subgroups (termed the foreground), but that is non-conserved in the other subgroup (termed the background).
To each point M i a numeric random variable Z i (called explained or dependant variable) is associated with the observation z i Whereas the CART procedure partitions the plane according to a line parallel to the axis maximizing the interclass variance of z i, our procedure partitions the plane according to an oblique line maximizing in the same way the interclass variance of z i.
Based on structural model and available experimental data, parameters identifiability procedures partition the original set of parameters into two subsets: (i) the parameters that can be estimated, called identifiable parameters, and (ii) the parameters that cannot be estimated, called nonidentifiable parameters.
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