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A graphical comparison was made between observed data and the model predicted median and 95% prediction interval over time.
But under the effects of climate change, it's a different story, and the model predicted that global food availability would be 3.2percentt lower than was predicted in the scenario with no climate change.
The conformity between experimental data and the model predicted values was expressed by the correlation coefficients.
The conformity between the experimental data and the model predicted values was expressed by the correlation coefficient (R2).
Open image in new window Fig. 1 Comparison plot between the experiments and the model predicted for DBT removal efficiency.
The correlation coefficients (R 2) and comparing the values of q e,cal and q e,exp were shown the conformity between experimental data and the model predicted values.
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Between pH 7 and 9, the model predicted inner-sphere complex formation.
The data were evaluated by graphical comparisons between the model predicted and the observed median and 95% prediction interval.
If that didn't happen, the model predicted "overshoot and collapse" – in the economy, environment and population – before 2070.
Excellent agreement was obtained between the model predicted outputs and the new experimental data.
For all the OARs, the discrepancies of dose indices between the model predicted values and the actual plan values were within 2.1%.
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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