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The model and data were found to agree at the 95% confidence level.
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Again, for both scenarios a good agreement of hybrid model simulations and data was found for the original toxicity parameters and without other adaptations.
The normality of quantitative RT-PCR and ELISA data was tested, and the data were found to not follow Gaussian distribution.
The average errors of the predicted fiber diameters for training and testing data were found to be 1.26% and 5.74%, respectively.
Identical types (supported by both MLVA and PFGE data) were found up to 24 km apart and always in the same drainage.
The mean relative errors (MRE) between the predicted results and experimental data were found less than 1.79% for Nusselt numbers and less than 3.27% for friction factor.
Numerical results and experimental data were found to be in good agreement.
Thermodynamic and optical data were found to be well correlated when applying the proposed model that also features simpler calibration.
Desirable agreements between calculated and experimental data were found in thermodynamic model as demonstrated by a maximum Individual Absolute Relative Deviation of 5%.
Many inconsistent and incomparable data were found from published studies, which underscores the importance of establishing a standard protocol for studying UV-LED inactivation of microorganisms.
Large discrepancies between N2and M2 profiles derived from balloon, UAV, and radar data were found in a turbulent layer generated by a Kelvin-Helmholtz shear flow instability (region 2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com