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Additionally, the sensitivity of the indicators to model bias, outliers and repeated data is evaluated.
Three types of nonstationary two-phase models are described, numerical algorithms for their solution are discussed and their applicability to description of experimental data is evaluated.
The quality of photogrammetric data is evaluated by comparison with a light detection and ranging scanning dataset that acts as ground truth.
The measured point data sets are registered automatically and the quality of point data is evaluated by checking the difference between the CAD model and the measured data.
When it is compared with the existing correlations, the suggested correlation is expected to enhance the reliability of the conduction shape factor because the data is evaluated by a more realistic numerical experiment.
A focus on how data is evaluated, not just collected, with a standard for the 'right to reasonable inferences'.
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Data were evaluated using FlowJo v.10.0.7 software.
Data were evaluated by unpaired Student's t-test.
Data were evaluated by unpaired Students' t-test.
All experimental data were evaluated by Student's t test.
Data were evaluated using OMNICTM series software (version 8, Thermo Scientific).
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