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The correlation coefficient indicated that Langmuir model fitted better to the experimental data.
Equilibrium studies also revealed that Langmuir isotherm model fitted better with the adsorption data in describing the adsorption behavior.
However, the Langmuir model fitted better than the Freundlich model and the adsorption capacities of the PAC were somewhat higher than those of the CAC.
The constructed ANN model fitted better to the overall desirability than the MLR model (R = 0.838 vs. 0.670, for the additional checkpoint formulations) and therefore, was used for prediction of formulation with optimal in vitro drug release.
Langmuir isotherm model fitted better to the obtained equilibrium data with maximum adsorption capacity of about 75.1 mg/g and the pseudo-second order model best described the biosorption kinetics.
It can be seen from Table 3 that the linear correlation coefficients for first-order and second-order model are good and based on the comparison between experimental and theoretically calculatedqe values, it was found that the pseudo second-order model fitted better than pseudo first-order model for removal of Pb II) by HA.
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In areas with good soil permeability, the additive model fits better than the multiplicative model.
The medians are 1.82 and 1.09, respectively, suggesting that the three-term model fits better.
Compared with other models, the new model fits better with the experiments.
By contrast, in areas with poor soil permeability, the multiplicative model fits better than the additive model.
Table 1a indicates that the ETAS model fits better than the Omori Utsu model according to the AIC values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com