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For example, measured data indicate that metals in the Blackstone River, MA, have partition coefficients varying from 0.1 to 1.0 l/mg (Ji et al., [2002]).
Comparisons between the calculated results and measured data indicate that the modified code can predict the peak cladding temperatures and quench temperatures relatively well.
Both numerical results and measured data indicate that the effect of recharge on controlling the groundwater drawdown and strata settlements correlates with the injection rate and well arrangements.
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We determine the quality of the fit by measuring the R regression correlation coefficients between the fit and the measured data (indicating on the strength of association between the experimental measurement and the fitted variable).
Excellent agreement with the measured data indicates that the method has practical engineering value.
The curves closely match the measured data indicating that the experimental data can be modeled with reasonable accuracy.
The measured data indicated that adding the copper plate can effectively reduce the nonuniformity of the wafer temperature.
The low value of RMSE between the predicted and measured data indicates that there is no difference between the predicted and measured values.
The calculated results show good agreement with the measured data, indicating that the method is valid and can be applied to the design of solar energy storage and heating system as well as the thermal performance analysis of greenhouses.
The comparisons show good correlation between model predictions and measured data, indicating that the proposed model can predict the thermo-mechanical behavior of RC walls from pre-loading to collapse stage under fire exposure.
Measured data indicates that the new noise component is observed only when the rate of fuel burn of the engine is increased significantly above that of the intermediate power setting.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com