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Comparison between data and prediction over a range of jet velocity, temperature and angle of observation again show very acceptable agreement.
Comparison with the IRI-2012 model reveals discrepancies between data and prediction, that are especially prominent during the periods of very low solar activity.
Therefore, in agreement with table 4, the best match between data and prediction is obtained for the correct model.
Moreover, the sum of squared deviations between data and prediction was not significantly affected when a single k parameter was used for all three phosphatases.
The deviation of the model from experimental data was calculated from the sum of squared deviations between data and prediction (SS) provided by COPASI and from absolute deviations between fitted and experimental values.
Both space time approaches, STOK and LSTOK, resulted in substantially larger values of the correlation coefficient ρ than OK (13.1% and 14.8% larger ρ, respectively), indicating larger linear correlation between data and prediction sets.
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In general, the differences between data and predictions are small.
The discrepancy between data and predictions remains unexplained and highlights a knowledge gap that requires further investigation.
A good agreement between data and predictions is achieved, indicating a reduction in fracture toughness by 30% due to sustained exposure to sea water.
Preliminary calculations with constant convective (liquid side) heat transfer coefficients show that the inclusion of an intrinsic dissociation kinetic model from the literature leads to a substantial mismatch between data and predictions.
After calibration, the relative differences between data and predictions are 38% on average (Additional file 1: Figure S3 shows an overall data vs. prediction plot for both in vitro PK and PD).
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