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The value of R2 > 0.99 for the present mathematical model indicates the high correlation between observed and predicted values.
A correlation coefficient R2 > 0.90 for the present mathematical model indicates a high correlation between observed and predicted values.
A mathematical model indicates the reverse loop in the Nyquist plots is attributed to CO2 poisoning on the catalyst, which is also validated by the followed chronoamperometric method.
This mathematical model indicates that mechanical behavior of linear viscoelastic material was the outcome of competition between stress-increasing of extension and stress-decreasing of relaxation.
Results from the mathematical model indicates that response artefacts will be minimal until the probe/sample angle exceeds 30° off perpendicular; a finding validated by the experimental and literature data.
The mathematical model indicates that structural change will lead to the outward variation of the natural frequency, which is essentially related to the change of the squared mode shape values between the original position and the modified position of the moving component.
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The Sovová mathematical model indicated a good fit for all conditions investigated.
A mathematical model indicated an optimum point in which ethanol was the only organic solvent of the mobile phase.
In order to optimize these properties, fiber amounts were adjusted using a quadratic mathematical model, indicating that formulations containing only the rice husk or an 82/18 (% w/w) rice husk/sugarcane bagasse mixture will perform best.
Simulation studies on static and dynamic properties of the first mathematical model indicate that the model can function as a real-time simulator for both advanced boiler combustion control laws testing and generating training and validation data for the control-oriented grey-box model.
It was found that the Langmuir mathematical model indicated better fit to the experimental data than the Freundlich.
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