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Adsorption data were modeled with the Langmuir, Freundlichand, Temkin isotherms.
EIS data were modeled with standard electrical equivalent circuit (EEC) using the software ZView-2.
The same data were modeled with OCHEM using LibSVM machine-learning and the same Dragon descriptors.
Adsorption data were modeled with the Langmuir and Freundlich adsorption isotherms.
The experimental data were modeled with CRUNCHFLOW [51], using the gimrt mode and the thermoddem.dbs database [52], which applies the Debye-Hückel equation for activity corrections.
Adsorption isotherms of fish muscle were measured at room temperature by the isopiestic method and data were modeled with BET and GAB equations.
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To know the biosorption capacity of TISW for CR, MB, Cd2+ and Pb2+, the experimental data were modelled with some equilibrium models.
A sub-set of these data were modelled with the MOO-Sp procedure.
Voxel-based data were modelled with factors for group (controls or lvPPA patients, allowing unequal variance), gender (assuming equal variance), and scanner (eight levels, with equal variance assumed), and covariates for age and total intracranial volume (Barnes et al., 2010).
STM3 in Fig. 6 with the corresponding system data was modeled with the PSS/E program.
The CTM as shown in Fig. 8 with the corresponding system data was modeled with the PSS/E program.
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