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The data are assessed with the R wave of the electrocardiogram as a time marker for the cardiac cycle.
Using the model-predicted in-cylinder soot distributions, uncertainties in diesel two-color pyrometry data are assessed, both for a conventional high-sooting, high-temperature combustion (HTC) operating condition, and for a low-sooting, low-temperature combustion (LTC) condition.
These data are assessed according to the OD matrixes.
Importantly, these data are assessed in terms of precise numerical predictions, with ranges of probabilities of outcome.
To evaluate the performance of the reviewed techniques, the imperceptibility and the detectability rate of hidden data are assessed.
In this work, two-dimensional aperiodic tidal series data are assessed using the continuous wavelet transform method (CWT).
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Normality of data was assessed using the Kolmogorov Smirnov tests.
The quality of the RNA-Seq data was assessed using FASTQC program as described previously18,19.
The differences in all data were assessed by one-way analysis of variance.
Data were assessed at baseline (pretherapy) and at posttherapy period.
Comparisons of model predictions with available experimental data were assessed.
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