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Mathematical modeling provides a framework to describe and integrate the complexity of relationships between components in the cell system.
We will also highlight how the growing use of mathematical modeling provides a comprehensive and quantitative perspective on the design rules governing stem cell ACDs.
In the first part, mathematical modeling provides a system of Ordinary Differential Equations, as in the appendix of work [5].
Mathematical modeling provides a powerful tool to reduce ambiguity, and allows to test various experimental and theoretical hypothesis that may be difficult or impossible to test in-vitro or in-vivo.
In conclusion, mathematical modeling provides a valuable tool for interpreting the strain rate-dependent SF reorganization induced by matrix stretching.
Despite the contradicting experimental evidences, mathematical modeling provides a useful strategy to study the dynamical property and plausibility of these models.
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Mathematical modeling provided a compelling argument that temperature insensitivity of N signaling could emerge in vivo through the operations of the N trafficking network.
The mathematical model provides predictions about the limit state of composite material.
The mathematical model provides detailed information about cell performance for a wide range of operating and design parameters.
The proposed mathematical model provides a theoretical basis for multi-channel heat exchangers in solving the problem of flow maldistribution.
The mathematical model provides an effective tool for designing and operating an enhanced groundwater remediation in an anisotropic aquifer using the vertical circulation well technology.
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