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The 11-step model predicts well the ignition delay time.
The one-dimensional model predicts well many features of the martensitic transformation that are observed experimentally.
The model predicts well the experimental data and that available in literature.
It is found that the model predicts well regardless of the differences in the technical specifications of the wheels.
This updated model predicts well the experimental data obtained during this study and from the shock-tube literature.
Further, the model predicts well literature data on freezing point depression, excess enthalpy and liquid phase speciation determined by NMR.
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The analytical model predicted well the response of the tested beams.
The model predicted well average primary ZrO2 particle diameters even though global chemical reactions, immediate nanoparticle formation upon precursor oxidation and monodisperse particle dynamics were employed.
The model predicted well the cell survival in orange, blackcurrant and pineapple, however it failed to predict cell survival in grapefruit and pomegranate, indicating the influence of additional factors, besides pH and citric acid, on cell survival.
The proposed model predicted well the experimental data over wide ranges of equivalence ratios (0.6 1.0), fuel compositions (1 100% H2 in the fuel blend), and unburned gas temperatures (ambient to 600 K).
Obviously, the above model predicted well the positions of two resonance modes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com