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The implementation uses a dynamic tree data structure.
The dynamic tree cut method starts to merge branches from the bottom to the top.
Therefore, we adapted the dynamic tree cut method for clustering conformers in an entry.
We established a new approach for incorporating dynamic tree biomass variables into dendrochronological studies.
The problem of dynamic tree embedding in static networks is studied in this paper.
Only two conformers chosen from the dynamic tree cut could cover the variation of the 3,4-dimethoxyphenyl acetamide group in entry 41 (Fig. 4a).
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To alleviate this problem, we propose a generative-model framework namely, dynamic tree-structure belief networks (DTSBNs).
Pneumonia appears as a consolidation with irregular and somewhat blurred margins, commonly associated with dynamic tree-shaped air bronchograms and pleural effusion.
Modules were detected using a dynamic tree-cutting algorithm (hybrid mode, minimal module size of 100).
Finally, modules were defined using a dynamic tree-cutting algorithm (41).
To cut the branches, we used the hybrid dynamic tree-cutting in order to have robustly defined modules.
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