Sentence examples for models for removal from inspiring English sources

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Open image in new window Fig. 3 Generalization of best-fitted surfaces predicted with ANFIS models for removal Open image in new window Fig. 4 Generalization of best-fitted surfaces predicted with ANFIS models for q t.

Open image in new window Fig. 6 Kinetic models for removal of Pb II) by HA a, first-order and second-order model b intraparticle diffusion model Table 3 Adsorption kinetic model rate constants for Pb II) removal qe (Exp) (mg/g) Pseudo first-order Pseudo second-order qe (cal) (mg/g) k1 (min−1) R 2 qe (cal) (mg/g) k2 (g/mg/min) R 2 7.07 9.77 0.0513 0.9898 9.01 7.86 × 10−3 0.9910−3

Open image in new window Fig. 11 Pseudo-second-order kinetics for adsorption Congo red dye on the surface of Fe3O4/PVP (1 g) at pH 6 Table 3 Comparison of pseudo-first-order and pseudo-second-order kinetic models for removal Congo red by Fe3O4/PVP (1 g) in different experimental conditions Dye conc; C0 (ppm) Pseudo-first-order kinetics Pseudo-second-order kinetics qe (exp).

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The results showed a good fit with the proposed statistical model for removal of o-cresol (R2 = 0.9387) for biosorption and (R2 = 0.9980) for biosorptive foam separation.

In order to develop an effective and accurate design model for removal of dye, adsorption kinetics and equilibrium data are essential basic requirements.

Comparison of test results with the simulated ones demonstrated the applicability of the designed kinetic model for removal of humic substances from natural water by biosorption with fungal pellets.

c) Randomly selecting a fluorophore in the model for removal (Op_c).  .

3B either adds a new fluorophore at a random position or selects a fluorophore in the model for removal.

Open image in new window Figure 5 Pseudo-second-order kinetic model for removal of lead ions by MWCNTs (a) and MWCNT-COOH surfaces (b).

The plot is shown in Figures 4,5,6 and 7. Open image in new window Figure 4 Pseudo-second-order kinetic model for removal of lead ions by MWCNTs (a) and MWCNT-COOH surfaces (b).

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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