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The results indicate no significant difference among the response variables for each task complexity level, indicating the model accurately represents the operator's workload.
DUKW is an acronym based on D indicating the model year, 1942; U referring to the body style, utility (amphibious); K for all-wheel drive; and W for dual rear axles.
Among the four modelled key variables, i.e., water level, COD (in CODCr), NH4+-N and PO43−-P, the minimum value of the coefficient of determination (CoD) was 0.69, indicating the model performed reasonably well.
These results were well predicted by our specific designed model, indicating the model performed effectively at assessing individual transformation process and its associated N fate and help develop efficient management strategies for swine manure amended paddy rice systems.
The R 2 value of this model was 0.9793, indicating the model could explain 97.93% of the variability in the response.
Therefore, the objective function simulated value for the energy total cost is equal to the real plant value, indicating the model coherency and accuracy.
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All the models presented in this paper have p-values much smaller than 0.0003, indicating the models are statistically significant.
A value of zero would indicate the model fitted the data perfectly.
Absences of the live transitions indicate the model termination.
Values >0.1000 indicate the model terms are not significant.
The ANOVA of the quadratic regression model indicates the model is significant.
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has said the model
showing the model
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watching the model
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an indication of the model
indicating modality
indicating design
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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