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Measures can be used to apply energy conservation measures to modelshence the name to create reports and visualizations, and even to sew together custom workflows.

This iterative improvement approach can be applied to highly non-deterministic models, hence the use of model checking.

In case individuals with both normal birth weight and high-risk hypertension, or individuals with both low birth weight and normotensive status were supposed disproportionately missing from the three models, hence the results reported here would be selection-biased.

Instead, the aim of the platform is to extend static knowledge and data into dynamical models; hence the information provided in the Knowledge Base needs to be dynamical in nature.

Conversely, The Cell Collective, and specifically its Knowledge Base component (discussed in the Results section) extends static knowledge and data into dynamical models; hence the information contained in the Knowledge Base (which is purely qualitative) is dynamical in nature; it takes into account the dynamical relationship between all of the interacting partners.

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Nonlinear regression analysis was applied to the Arrhenius type model, hence, the activation energy was determined to be 37.6 kJ/mol.

4.2, it can only be applied in the case of the pooled ordered probit model; hence the results we present below correspond to this specification.

Nomenclature section contains all of the variables used in the model; hence, the variables used will not explain here again in order to avoid repetition.

The response variable is a rate rather than a count, as customary for the Poisson model, hence the population size in the respective age-sex group is included as an offset for each of the models in Table 2.

Tolbutamide release kinetics from freshly prepared matrices can be fitted to the Higuchi model while the freeze-dried ones adjust to the Korsmeyer Peppas model; hence the hydrogel chains rearrangement processes rule the release during the rehydration process.

Using the maximum likelihood method requires establishing the complete model, hence the formed estimator's sensitivity to possible mistakes in procedure of the auto regressive (AR) and moving average (MA) polynomials that define the dynamics of the process.

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