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A value of zero would indicate the model fitted the data perfectly.
C.C. developed the SPS model, fitted the spectrum and derived the chemical evolution model.
The kinetic model fitted the data well (to 95%).
Langmuir Hinshelwood type kinetic model fitted the decolorization kinetic well and the rate constants were evaluated.
Breakthrough curve modeling indicated that Adams Bohart model and Thomas model fitted the experimental data better than Yoon Nelson model.
The Langmuir Hinshelwood Hougen Watson (LHHW) model fitted the experimental kinetic data well over a wide range of operating conditions.
The sorption was very rapid and the linearized pseudo-second order kinetic model fitted the data well.
For the example shown in Fig. 3, the conventional model fitted the data extremely well in both the substrate addition and control treatments separately (R2 = 0.99; Fig. 3a and Supplementary Data 3).
Lastly, the reverse Michaelis Menten model fitted the cumulative CO2 emission data from the new substrate and old SOC in the control but not in the substrate addition treatment (R2 = 0.95; Fig. 3d and Supplementary Data 6).
Kinetic study shows that pseudo-second-order kinetic model fitted the adsorption process best.
Subsequently, the relationships between negative symptoms and cognition were examined using structural equation modeling.Results demonstrated that the two-factor model fitted the data well.
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