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Tables 2, 3 and 4 show the load, GenCos and transmission lines data of test power system respectively.
The source data of test bed are wave patterns being generated in NS2 and subsequently are analyzed by the classification algorithm in Matlab.
Correlation coefficient, as a classical statistic parameter, reflects the degree of a close correlation between variables, and can be used to compare the LIBS data of test samples with the existing data.
However, as systemic exposure data (i.e. blood concentration/time data of test material or metabolites) in humans will not be available for agrochemicals, an in vitro approach must be taken.
A web-based browser that displays how the model fits the mRNA data of test genes is available online at [ 34].
* indicates that all values were statistically significant (P < 0.001) According to data of test performances and inter test agreement, presented in Table 3, the T. gondii and T. spiralis bead assays agree excellently with their respective highest scoring tests, i.e. with the E-TOX3 and E-TRI, respectively.
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Using data of tested age groups, we interpolated the prevalence of DENV-1 to DENV-4 for residents (aged 16 60 years) to be 41.9%, 47.8%, 24.7%, and 16.0%, respectively.
Classification boundaries should be defined from training data, independent of test data.
Typer 4.0 software (Sequenom, Inc. San Diego, USA) (NASDAQ: SQNM) was used to analyze the original testing data of the test project to normalize the testing results.
The first data set is divided into 21 days of training data and five days of testing data.
Test output compactors can effectively reduce the data volume of test responses without scarifying fault coverage.
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