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Relevant thermo-physical properties including, material expansion, thermal conductivity, and specific heat are determined as functions of temperature and used to analyze validation experiments conducted on aluminum substrates protected by the coatings and subject to heat fluxes in a cone calorimeter.
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In this paper, we introduce a variant of control flow graph, called validation flow graph as a model to analyze input validation implemented in a program.
It was assumed that both subsamples of the data would display similar properties with regard to normality, skewness, kurtosis, factorability, etc., and therefore, it was not necessary to analyze the validation sample with the same scrutiny as was done for the calibration sample.
Following identification of unidimensional CIAD scales it was necessary to analyze the validation study results from each country to determine whether the measures were reliable and valid.
It comprises four sub-steps: (1) developing a test blueprint; (2) writing test items; (3) validating the question bank draft by external reviewers; and (4) analyzing the validation survey results and generating a subset of the question bank that will be used in the second phase of the SCT validation process, i.e., the establishment of a scoring grid.
CCY developed the system, implemented and analyzed the validation experiment.
Finally, different types of workloads are analyzed with validation purposes.
Standard reference materials were analyzed for validation of the methodology.
An experimental case study from the literature related to a masonry arch on spreading support is also analyzed for validation.
It is shown that if the data were to be analyzed without validation by KKT, it can lead to incorrect choice of reaction mechanism or equivalent circuits.
An additional cohort of 10 monozygotic twin pairs discordant for T1D was analyzed for validation purposes.
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