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Figure 11 illustrates data quality evaluation in the Back-end node: Fig. 11 Data quality evaluation in the Back-end node (sequence 2) Step 1:: TwitterAnalyser is started in the Back-end node Steps 2 5:: Metadata and quality attributes are read from metadata/quality rules store based on input received from the Front-end node.
Fig. 4 illustrates data from the Employee Benefit Research Institute which shows the dependence on Social Security in 2010 for those over the age of 65 by quintile.
Figure 4 illustrates data processing of RAT and SPT measurements transmitted from the factory.
Figure 12 illustrates data taken from: athis work, bPatiño et al. [32, 33] and cFlores et al. [51].
This article presents the basics of the SPR technique, provides suggestions for experimental design, and illustrates data processing and analysis of results.
Figure 9 illustrates data from monkey A and monkey T that are directly analogous to the idealized traces for the HL and LH conditions in Figure 8B C.
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An example error analysis is performed to illustrate data transfer error and behavior for a simple problem.
We describe the protocol development and illustrate data utility by comparing results across three trail surface types.
In addition, the two first years of data were used in the later analysis, which precludes most of the section with largest errors of the illustrated data.
Univariate log rank analyses with Kaplan Meier curves were used to illustrate data.
The median value of different replicates were then scaled and used to illustrate data.
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