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Suppose that we schedule flows in the modified Manhattan network from the South to the North using the pattern shown in Figure 2 and its shifted versions.
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In our experiments, multiscale gradients (MSG) based CI algorithm [16] was used for the patterns shown in Fig. 5 a, d.
For this simulation, we use the atmospheric obscuration pattern shown in Table 1 and a maximum transmitted power of 5, 10, and 15 Watts for all network nodes.
Although similar work has not been carried out in an informal education setting, it is reasonable to assume that highlighting and labeling key characters used to support the branching pattern shown would be beneficial.
We describe the approach using the Visitor pattern, and show how the resulting specification can be used to evaluate pattern applicability for a particular problem model.
Personality traits, measured using the NEO, showed a mixed pattern.
The land use pattern showed dense urbanization at the center of the city with only a few scattered patch of green area.
The land-use pattern showed more inclination toward the urban structures than the vegetative attributes.
Staining patterns using the H4.77.16 antibody showed correlations between membranous staining and both cytoplasmic and nuclear staining (both p < 0.001, Mann Whitney).
Global analysis of the gene expression patterns using the Affymetrix GeneChip showed that of the 55,052 genes probed, only about 0.11% in the shoots and 0.25% in the roots were activated by polyhaploidization.
Simulated annealing with DASH using the published powder diffraction pattern shows that half of the solutions end up with the incorrect molecular geometry.
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