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It is suggested that altitude control be achieved by clustering five 200 N monopropellant thrusters and attitude control with eight 3 N thrusters.
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Fewer entries are achieved by clustering similar sequences in a Hidden Markov Model.
This is achieved by clustering the CR nodes and electing a cluster-head to drive the channel assignment on each cluster forming a hierarchical structure.
This was achieved by clustering PPI datasets with MCL, then shuffling proteins between complexes while preserving complex size and benchmarking the resulting complexes.
An additional protective effect for treated areas is achieved by clustering villages according to their proximity to each other; this means villages of one cluster can have overlapping buffer zones, and villages from different clusters cannot.
Hence, an integration of all data sources is achieved by clustering the first and the second datasets simultaneously using R 12, Θ 1 and Θ 2 that encode the data.
The increase in the percent of uniquely mapped reads in the 80% transcriptome suggests that consolidation of allelic reftigs was achieved by clustering, resulting in more reads mapping uniquely.
This was achieved by clustering [ 10] validated zebra finch mRNAs and expressed sequence tags, then using chicken protein sequences to search this zebra finch database with Blastx, [ 11] and subsequently implementing T-Coffee [ 12] to generate 3,653 pairwise CDS alignments from the Blastx best-hit pairs (for details see supplementary methods).
Performance targets to be achieved by clusters were set for each QPI.
The control law for developing optimal strategy are achieved by cluster regression for power distribution data.
The most efficient gene activation was achieved by clusters of 3-4 sgRNAs binding to the proximal promoters, suggesting a synergistic mode of action.
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