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The formation of the larger clusters was also verified by atomic force microscopy.
However, connectivity across larger distances and across clusters was also predicted, reflecting how dispersal-driven connectivity is mediated by a combination of intrinsic life history traits and extrinsic environmental factors66,67.
Self-Organizing Map (SOM) clustering technique which finds homogeneous sub-series clusters was also linked to MI for proper cluster agent choice to be imposed into the models for predicting the nitrate loads of the watershed's sub-basins.
Agglomeration of silver nanoparticles into larger clusters was also observed.
Mass spectroscopic analysis of the clusters was also carried out by matrix-assisted laser desorption ionisation time-of-flight mass spectroscopy (Brücker Daltonics, Autoflex, Bremen, Germany).
The number of clusters was also ascertained using the Duda-Hart Je(2)/Je(1) index for which larger values indicate more distinct clustering [44].e Based on these observations, a four-cluster solution emerged as optimal.
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Random clusters are also constructed for comparison purposes.
The performance of the Fe2 clusters is also compared with that of other known catalysts.
In many cases, clusters are also a better alternative to vertical integration.
Micron scale EphA2/ephrinA1 clusters were also observed by Salaita et al. in a reconstituted intermembrane signaling system.
Studies involving the global optimization of colloidal clusters were also surveyed.
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