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It has been shown that there are certain combinations of the model parameters depicting a remarkable dynamic behavior, in which the second to first resonance frequencies ratio is close to three.
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The signification of the model parameters is depicted in Table 1.
With the introduction of parameters κ, z, and g whose parameter space is unconstrained, it is possible to place linear models on each of the parameters, depicted in matrix notation in Fig. 4.
In addition, a local parameter depicting the individual block's characteristics regarding the inter-coefficient distribution is jointly combined with SATD to derive an adaptive threshold model for AZB detection.
The sensitivity of the estimated equilibrium Mf prevalence-vector biting rates to three important model parameters that are likely to depict significant variation between communities was explored by quantifying the changes produced as a result of varying the values of these key parameters.
Therefore, four model parameters need to be adjusted to depict the respective experimental results in detail: the total methane potential S (mL g− 1 VS), the ratio of rapidly degradable substrate to total degradable substrate α, and the two first-order reaction constants for the degradation of rapidly degradable substrate kF (d− 1) and slowly degradable substrate kL (d− 1) components.
This leads to a decision to use a Boolean network model with three variables— M, E, and L and two model parameters— L e and G e. The wiring diagram depicted in Figure 3 is developed next.
Even though we recommend further research to estimate the model parameters more precisely, we believe that the uncertainty of the results is depicted accurately in our analysis.
The correlated model predicts fatigue life is determined by a damage parameter depicted by a molar elastic strain energy density per cycle; a consequence of dislocation enabled, strain accommodation mechanisms operative at local stress concentrations within the fatigue tested substructure.
For the error model, interindividual variability on the model parameters was tested assuming a log-normal distribution described by an exponential distribution model depicted in Eq. 1.
The knowledge bases are classified into five major types, namely, a variety of models, relations between various model parameters and real physical conditions, feasible options of model parameters, question base as a user-interface directing the user to depict the actual physical conditions, and the rules of inference deducing the feasible choice of model and its parameters.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com