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Remarkably, the present model is based on topological as well as configuration-dependent molecular descriptors.
The present model is based on closed form expression and does not involve any fitting parameter.
Furthermore, the present model is based on a rigorous homogenization method which is capable of predicting both the constitutive behavior and the microstructure evolution of porous materials.
The present model is based on recent experimental investigations directed towards identifying the nature of the nucleation sites for recrystallized grains of different crystallographic orientations.
The present model is based on a combined self-sustained liquid fuel vaporization – combustion system, where the liquid fuel vaporization occurs on a wetted wall plate with energy transferred through the plate from the combustion of vaporized oil.
The performance of the present model is based on the coefficient of correlation of the linear regression line between predicted values from the present model and desired output (R), mean absolute percentage error (MAPE), average percentage error (APE), root means square error (RMSE) etc.
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INa time kinetics in the present model were based on parent SAN models (36, 89).
The present model was based on the conceptual framework for social determinants of TB formulated by Maciel [ 19].
Associations resulting from the hierarchical regression model are adjusted for the variables in the same level and those in previous levels, taking into account both confounders and mediators [ 15, 16].The present model was based on the conceptual framework for social determinants of TB formulated by Maciel [ 17].
The presented model is based on reducing the third and fifth harmonic energy of the HP-PWM signal.
The presented model is based on the introduction of a fluid inertia term that accounts for the non quasi steady effects and the use of a compressor map extended to the surge and negative flows zone obtained from experimental tests.
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