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The prediction of the behavior of CPB structures from early to advanced ages is of great practical importance.
The conventional numerical discretization approach does not always yield a consistent prediction of the behavior of these systems.
Note that there are controversies about the validity and applicability of those nanofluids models for the prediction of the behavior of nanofluids.
For prediction of the behavior of a system, it has to be determined how long the different fluid elements remain in the system.
The model allows the prediction of the behavior of shells of non-uniform thickness, and it is formulated to account for the presence of circumferential stiffeners.
The study allows the knowledge and prediction of the behavior of the system as well as to work out kinetic parameters and to optimize their variables.
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Furthermore, inappropriate considerations of time delays can lead to incorrect predictions of the behavior of GRNs.
Quantitative predictions of the behavior of many deterministic systems are uncertain due to ubiquitous heterogeneity and insufficient characterization by data.
It describes that long-term mathematical predictions of the behavior of chaotic systems are no more accurate than random chance, whereas short-term predictions, can be accurate.
Elements of mathematical statistics then often become a valuable tool for allowing reasonable predictions of the behavior of complex material systems.
In order to design and operate current and future CCS system and processes, accurate predictions of the behavior of the fluids involved is necessary.
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