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In many bioreactor models the kinetics are described by simple empirical equations.
In these models, the kinetics of NP uptake by cells and the viability of cells upon the NP uptake are studied.
This study models the kinetics of splenic B cell compartments, using a combination of in vivo BrdU labeling data [28] and a mathematical model of B cell population dynamics [24] [27].
In these models, the kinetics of recruitment of FLAG-ERα and FLAG-ERβ did not reveal major differences when analyzed during 8 hours.
Aside from the topology of connections, different mathematical models and network constructing algorithms can also include information on the causality from the directionality of relationships, information on the type of effect (i.e. activating, stimulatory, inhibitory), the strength of the interaction, and, in some few models, the kinetics and dynamics.
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Specifically, it describes an application of artificial neural networks for modelling the kinetics of a chemical reaction using methods not based in a kinetic model.
The method is based on modeling the kinetics of the thermal inactivation reaction which occurs during the drying process.
The aim of this work was to model the kinetics of hydrotropic-microwave assisted extraction of andrographolide.
Accurately modeling the kinetics of the pyrolysis reaction can lead to improvements in processing.
In this dynamic model, the kinetics of coupling between calcium and CBF is posited as a two-step configuration.
The ability to model the kinetics of the system allows the design of mixtures for specific applications, and allows better quality control during production.
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