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As can be seen in Table 5, all the construct models were found to be statistically significant when tested against a constant-only model (see chi-square significance).
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The constructed models include the physical length scale parameter which can introduce the size effect.
However, the cytoplasm TRIODs are generally far from the constructed models, and then, the probability to any constructed model will be low.
Experiments were conducted to evaluate the constructed models and the designed controllers.
Additional file 1: Simulation results for the constructed models at the last increment of the 5° torque application.
Non-parametric models were more biased than parametric models for all but two of the constructed models (Fig. 4).
According to the input parameters, the constructed models were trained and tested.
The constructed models were adequate to explain the relationships between independent variables and responses.
The constructed models were checked by using various prediction performance indices.
Robustness and reliability of the constructed models were evaluated through internal and external validation methods.
Consequently, it is possible to say that the constructed models can be used for practical purposes.
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