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Many of these scientists are finding that research in the dry world of silicon has not prepared them for the uncertainties of a "wet" laboratory, where their mathematical models need to come alive.
Thus, mathematical models need to be used in order, not only to predict the behavior of the designed synthetic devices; but to help on the selection of the biological parts, i.e., guidelines for the experimental implementation.
Significantly complex mathematical models need to be constructed in this case, which rely on the development of special mathematical techniques to build them.
In literature, several mathematical models need the data of water flow, while the velocity and elevation of water flow are provided by the hydrodynamic model.
Mathematical models need to be informed with accurate data on contacts among individuals.
Protocols for acceptable mathematical models need to be developed [49] to analyze past and present trends, and predict future trends.
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In particular the way in which the effect of intervention measures are represented in (mathematical) models needs to be considered carefully.
The importance of the two-phase flow model relies upon the correct simulation of specific problems in which the passive tracer model fails; however, the mathematical and numerical models need to be improved in order to reproduce fluid-solid particle interactions of greater complexity.
The mathematical model needs to fulfil the following conditions: The model needs to represent the periodic characteristic of the tremor signals, in which the amplitude rises and falls alternately.
Although the presented method has good compensation effects to three-phase symmetrical voltage sags with different characteristics, a more accurate mathematical model needs to be established for unbalanced three-phase voltage drop.
A useful mathematical model needs to explain the time course of product formation over time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com