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The advantages and characteristics of this model are evaluated from different perspectives.
An overall picture of the global response characteristics of this model is then obtained by drawing the existence boundaries in a same parameter space.
One of the essential characteristics of this model can be expressed in terms of the dimensionless separation factor for equilibrium parameter, R L, defined by [22] R_{text{L}} = frac{1}{{1 + bC_{0} }} (7).
Specific characteristics of this model include the simultaneous consideration of production planning, coexistence of alternative process routings, lot splitting, workload balancing between cells and worker over-assignment to multiple cells.
The main characteristics of this model are that its inner dynamics are linear, it has low complexity and it has a high level of accuracy in all the studied operating ranges, a characteristic found only in more complex representations.
The characteristics of this model of neuronal hyperexcitability were investigated in this study, particularly with respect to the activity of antiepileptic drugs and compounds representing novel mechanisms of analgesic action.
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A characteristic feature of this model, unlike most existing weather-yield models, is that the principle of its operation is based only on information on the occurrence of precipitation.
The important characteristic of this model is the consideration of reaction zone layers as finite volumes.
A unique characteristic of this model is its balance for simplicity and physiological transparency.
An important characteristic of this model is the same shape factor as that in Lim and Aziz (1995) for Warren and Root's model.
The main characteristic of this model is considering different relationships between suppliers and customers through a network of multi-site production systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com