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Combined with advanced data analysis and mathematical modeling, such temporal datasets are an invaluable source of information for inferring the function of individual proteins in molecular assemblies.
As barriers to entry to this technology have been reduced, personnel with less formal technical training in mathematical modeling, such as manufacturing and quality assurance personnel have begun to show an interest in employing these technologies for process design, evaluation, and control.
In view of a mathematical modeling, such applications require finding criteria for qualitative properties of their solutions.
There are some important phenomena formulated as parabolic equations that are coupled with nonlocal boundary conditions in mathematical modeling such as thermoelasticity theory (see [2, 3], and [4]).
However, there are some important phenomena formulated into parabolic equations which are coupled with nonlocal boundary conditions in mathematical modeling such as thermoelasticity theory (see [6, 7]).
I'd previously worked on industrial mathematical modeling, such as the design of aircraft wings, the prediction of the effects of explosives planted in quarries, and the optimal design of razors (the two-blade variety) to name but a few.
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Others, e.g., in the context of performance modeling use mathematical models such as queues.
This subject still needs to developed further using advanced biological as well as mathematical models such as the mathematics of geometric shapes that is called topological sciences of mathematics.
If cancer is ever to be understood properly, mathematical models such as these will surely play a prominent role.
Spreading speeds can be studied through mathematical models such as the discrete-time integro-difference equation (IDE) framework.
Among the main prediction techniques are those based on mathematical models, such as statistical regressions or machine learning (ML).
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