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Regarding the assignment of activity windows to the clusters, described in Section 3.4, we chose a staggered approach according to the depth of the cluster heads (CHs), so that information can move forward in every activity window to a node that has not had yet a chance to transmit in the current cycle.
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Thus, in stimulating MFG in different participants, the effect of TMS was dependent on an interaction between the individual cortical excitability and the distance of the MFG cluster from the TMS coil (the depth of the functional cluster).
Figure 13a shows the selected cluster, and Figure 13b shows the depth histogram of the cluster.
Secondly, and most importantly, direct read-out of ZnO NP concentration was obtained reaching about 800 particles per μm at the depth of the conspicuous cluster localization.
Thus, we consider that this depth variation of the cluster-A events is well constrained.
With an in depth examination of the clustering nature of each component, we found that there was a component aggregate in the metabolic syndrome, which we have referred to as IER, a core to the conventional MetS.
We regarded changing of carbon atom position from depth to the surface of the cluster as its drift to the surface under the influence of surface.
Moreover, the hit ratio ( = 77.50%) indicates that almost 80% of the cases investigated were classified correctly.c At this point, through the F-ratio, it is possible to show more in depth the characteristics of the clusters and test hypotheses H2 and H3 (Table 5).
Typically in unsupervised clustering, the depth of splitting of the clustering solution is somewhat arbitrary.
Figures 7 and 8 show the box plots of altitude and depth of the tube wells within clusters, respectively.
They mainly seemed to grow a bit more in the depth of the granule in dense clusters just beneath the surface (Fig. 3c, d).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com