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K f and n are Freundlich constants incorporating the factors affecting the adsorption capacity and adsorption intensity, respectively.
The Freundlich constant K F and n are constants incorporating the factors affecting the adsorption capacity and intensity of adsorption, respectively.
A model based on second-order polynomial regression, simultaneously incorporating the factors influencing respiration, such as temperature, O2 consumption, CO2 evolution and storage time, was proposed.
Multiple regression models incorporating the factors of age and body mass index (BMI) were used to ascertain the relation between sex steroids and cognitive performance.
The linear form of Freundlich equation is expressed as Eq. 4; log q_{e } = frac{1}{n}log C_{e} + log K_{f} (4) K f and n are Freundlich constants incorporating the factors affecting the adsorption capacity and adsorption intensity, respectively.
Therefore, incorporating the factors relating to systemic injury and cardiorespiratory function, for example, allows more accurate prediction of outcome.
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Figure 6 shows the values of heat production estimated using Eq. (2) and incorporating the factor of two.
This difficulty is removed by incorporating the factor r into the weight function which is introduced naturally by using Jacobi polynomials Pk with α="0 and β= 1,2.
This difficulty is resolved by incorporating the factor r into the weight function for spectral elements adjacent to the axis of symmetry and using appropriate basis functions in these elements in the radial direction.
This can be made possible by incorporating the factor into an appropriate scaffold.
Previous models are failed to incorporate the factors that influence polymer viscosity.
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