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The tight coupling model, the component object model (COM) using GIS, is used to develop a GIS based tool for ground movement prediction system.
In this model, the component fluxes are assumed continuous across the gas oil contact and the interface fluid is in thermodynamic equilibrium.
In purely rotational model, the component's torsional degree of freedom is only considered.
In this model, the component accounting for the contact-tracing feature is assumed to be valued in a space of point measures in order to take the time since detection into account.
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At least three different models have been proposed: the severity model, the additional deficit model and the component model.
In this model, the components SDS and fat impacted the glycaemic response the most.
We show that using latent variables to model the components can enhance the classification accuracy.
Methods that do not accurately model the components can suffer in performance.
The model adjusted the component properties to match the observed fluid properties.
For both models, the components have the same parametric distributional form and hence the same number of formal parameters.
In contrast, in the reporter-less GFP model, the downstream component is absent.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com