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The model dynamics is investigated analytically and the results are compared for moderate mass ratios.
A representation of key elements and their linkages that form the basis for business model dynamics is established.
First, a nonlinear integral action that makes invariant a goal manifold defined by a reference model dynamics is developed.
The system model dynamics is derived and simulated in order to learn its essentials needed for designing the management and control architecture.
Here this issue is analyzed and a differentiation-index reduction procedure based on the incidence of model states in the Jacobian and the properties of the model dynamics is proposed.
A key object in the model dynamics is a stable transient realized through a reproducible serial order of metastable states.
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The model dynamics are schematically represented in Figure 1 and the model parameters defined in Table 1.
The model dynamics were analysed using LHS, a biased statistical sampling method for generating plausible collections of parameter values from multidimensional distributions.
Starting with an arbitrary initial species distribution (which have no influence on the stationary-state properties of the system), the model dynamics are defined by the following rules.
To begin to examine whether the model dynamics are preserved with other representations of ongoing activity, the simulations of Figs. 4 and 5A were repeated for other frequencies of Ca2+ elevation: 28 Hz, 14 Hz, and 2.8 Hz.
Moreover, the model dynamics are typically strongly influenced by the model parameters [ 3, 4].
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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