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Taking advantage of the clustered cells, the averaged thermo-chemical properties of the cells in the respective clusters are then used to identify the adaptive dynamic reduced chemistry through the method of direct relation graph with error propagation (DRGEP).
The clusters are then placed on a piece of porous biodegradable plastic, about the size and shape of the eraser on a pencil.
Clusters are then joined to form a backbone that is provably connected.
The identified clusters are then compared to both mechanical and in situ observed microstructural damage.
Clusters are then formulated using a smart labeling solution with simple local rules.
These ejected molten carbon-catalyst clusters are then cooled followed by disintegration.
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A post-hoc functional characterization and functional connectivity analysis of these five clusters was then performed.
A study of extended vacancy clusters is then performed using continuous laws for defect energetics.
The cell clusters were then observed under a fluorescence microscope.
Candidate clusters were then classified into deep WMH, periventricular WMH, and false WMH clusters.
HC trees, cut to obtain two clusters, were then generated based on each of these subsets.
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