Sentence examples for mathematical modeling approaches from inspiring English sources
The present paper provides an overview of the different polymerization processes and mathematical modeling approaches.
A number of algebraic and mathematical modeling approaches have been introduced for the optimisation of on-grid HPS.
Experience at the plant has shown that neither trial and error nor simplified mathematical modeling approaches provide sufficient insight to eliminate the problem of ring formation.
She has expanded her research to the study of centrioles and cilia biogenesis, function, and evolution, combining genetics studies, comparative genomics, structural biology, biochemistry, bioinformatics, and mathematical modeling approaches.
He provided an overview of the different polymerization processes and the mathematical modeling approaches and addressed the problems related with the computer-aided design, monitoring, optimization and control of polymerization reactors.
The mathematical modeling approaches, such as ordinary differential equations and pi-calculus, have limitations in that they require a large number of kinetics parameters to simulate the dynamic behavior of the biological system to which chemical entities bind [35, 36].
The determined RSSI cutover threshold by the mathematical model can make multiple thresholds for a single AP. Figure 8a shows the discrepancy of RSSI thresholds for a specific AP (i.e. -85 and -88 dB for AP14) in the mathematical modeling approach.
Different mathematical modelling approaches are presented, factors affecting modelling performance are discussed and examples of model applications are highlighted to demonstrate relevance to specific types of produce.
In mathematical modelling approaches, concepts are represented by variables with a value.
An introduction to applied CLC modelling is given involving different mathematical modelling approaches and physical cold flow modelling.
In this opinion article, we will discuss the use of transcriptional reporters, sensor design strategy, and the importance of mathematical modelling approaches and technological advances in the development of new techniques to allow truly quantitative analyses of hormone regulated processes.
