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Mathematical modelling enables deeper insight and understanding of complex dynamic systems [1], [2].
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Thus, mathematical modelling enabled us to assemble working hypotheses for the signalling processes that increase the rate of oxidative phosphorylation during changes in energy demand, to tease out conclusions in bioenergetic terms, and to use our data predicatively to generate new hypotheses.
Application of this comprehensive mathematical model enables us to predict the behavior of HPMC-MCC based matrices.
Mathematical modeling enables the determination of the parameters that characterize the actuator operation in the frequency domain.
Integration of different geophysical observations and mathematical models enables to identify renewed volcanic activities, forecast eruptions, and assess related hazards [1].
However, this mathematical model enables the user to simplify or multiply individual hydrological processes, depending on the needs of each application.
Our mathematical model enables us to estimate this nucleation barrier from the average polymer length, yielding a value of order 9 kBT, where kBT is the thermal energy.
NPR: Could algorithms and mathematical models enable Nate Silver to make sweet-potato-and-pumpkin-satisfaction prognostications?
The primary concern is to present a mathematical model enabling any radial-dependent flow profile to be analyzed.
Such systems make use of different measurements and mathematical models enabling calculation of thermal stresses and their continuous control.
We therefore decided to develop a sufficiently detailed mathematical model enabling to link the ring formation to the temperature, radiative heat and gas flow profiles in the kiln.
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