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We focused on a cluster ratio and different processing time between biosensor nodes in our simulation environment.
Therefore, it is needed to manage a cluster ratio and difference of processing time against an attack.
They included the CVLT, trial 1 score and semantic cluster ratio, and the WMS test of logical delayed recall.
Simulation results show that network performance is greatly influenced by a cluster ratio and different performance of biosensor nodes.
The results of performance evaluation show that task execution time is greatly influenced by a cluster ratio and different processing time of biosensor nodes.
The results of performance evaluation show that total execution time is affected by a cluster ratio and processing time between biosensor nodes.
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In fish eaters, the delayed recall in WMS, semantic-cluster ratio, and List A of trial I in the CVLT were related to PCB exposure, but visual memory was not.
The SF cDNA library had a sequence per cluster ratio of 6.86 and the BFi cDNA library produced an average of 6.34 sequences per cluster.
The BF, PBMD, and PBMDi cDNA libraries contained an average sequence per cluster ratio of 8.4, 8.10 and 8.76, respectively.
These included the Weschler Memory Scale verbal delayed recall (p = 0.001), the semantic cluster ratio (p = 0.006), and list A, trial 1 (p = 0.037), from the California Verbal Learning Test.
For example, the number of biosensor nodes is 30, and the cluster ratio is 0.1; then, the number of clusters is 3 (30 × 0.1), and the number of biosensor nodes is 10 (1/0.1) in each cluster as shown in Figure 5.
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