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Characterizations of burst and spike synchronization are also made by employing realistic order parameters and statistical-mechanical measures.
Results show that both methods provide best estimates of hyetographs with maximum intensities and total depths in a realistic order of magnitude, whereas the uncertainty of rainfall estimated with the reverse model is rather large.
However, we have reviewed prospective studies using categorized exposure variables to estimate a realistic order of magnitude of the potential effect.
It also requires structuring the possible trajectory of patients in a logical, realistic order over time by considering the events that may occur, together with their health and economic implications.
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This hypothesis was rejected, first because it led to non-realistic orders of magnitude for some fluxes such as peptide hydrolysis, and second because the precursors of some components such as glucose were not biologically relevant [ 26, 27].
This transition to fast sparse synchronization is well characterized in terms of a realistic "thermodynamic" order parameter.
An example of a realistic higher order system model of an electro hydraulic valve with spring feedback and position measurement feedback is also considered.
The set of non-linear equations to be solved for the Fourier coefficients can then be substantially reduced for many realistic large order mechanical systems.
Treatment success variables should also be realistic in order to be useful in everyday clinical life.
Second, replacing the first-order plant model with a more realistic third-order model makes the need for a second integration even more apparent.
Based on their successful simulation with closely constrained selection of input parameters, they propose to use the model to produce quite realistic first-order predictions of run-out of potential slides and to outline potential hazard areas.
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