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All experimental results are explained by a stepwise bulk phase formation process including rearrangement of adatoms in the 2-D adsorbed layer, formation of critical clusters and further rearrangement and growth forming epitaxially orientated 3-D crystallites.
In the proposed algorithm, the clusters near the sink have short competition radius and fewer CMs, so that their CHs can use more energy to communicate among clusters and further balance the energy consumption among CHs.
We retain only significant clusters and further eliminate redundant clusters with high overlap among them.
Syndactylous digit clusters diverge toward the anterior and posterior poles, increasing the angle between clusters and further expanding the cleft.
The ambiguous contigs were verified by both blastn search against Indonesian coelacanth or human Hox clusters and further PCR surveys.
The method allows easy visual identification of clusters and further mine the data to discover the nature and the origin of the clustering.
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The model includes a new treatment of (short-range) order strengthening relevant to these co-clusters and further encompasses modulus hardening and chemical hardening.
The identification of clusters also leads to a prospecting studies on the separation of each cluster and further evaluation of their surface-active properties.
Agglomerative clustering follows a bottom up approach, i.e. each data object starts in its own cluster, and further closed objects are merged together and forms new cluster.
This lists these attributes under causal cluster and further implies that an influence is evident from these attributes toward the others.
Previous limitations of binarization/binning [6] [9] were overcome by integration with exponentially decaying kernels complemented by a clustering procedure [18] (see also Supporting Discussions in Text S1 for issues related to clustering and further methodological considerations).
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