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Through the analysis of a simple 1D model written at the mesoscale, we showed that the closure laws accounting for the different biological kinetics (growth, detachment, etc).
In particular the coupling between water flow and biomass growth is studied through the evaluation of the relationship between bed permeability reduction and biomass content as well as hydrodynamic effects on biological kinetics.
In this context, Computational Fluid Dynamics (CFD) may play an important role in the optimization of bioreactor design, analysing the interaction of hydrodynamics, light supply, heat and mass transfer and biological kinetics.
The phenomena involved in matter transformation can be described by fundamental momentum, mass and energy transport equations, coupled with equations of chemical or biological kinetics and the constitutive and rheological equations.
External mass transfer was limiting below air velocities of 3000 4000 m h−1, with possible other parameters such as biological kinetics or diffusion-controlled performance above 4000 m h−1.
Analysis of Variance (ANOVA) identified 6822 genes differentially expressed with a P value < 10-3 using a 3 factor (genes, biological kinetics and biological replicates) ANOVA.
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These data essentially show the biological organ kinetics of 68Ga-NODAGA-RGDyK during the observation time.
Biological growth kinetics can be expressed by the well-known Monod model.
By utilizing a potentiometric sensor, tracking of ATR chemical and biological degradation kinetics can be performed in a very short time with excellent accuracy.
In this study, we have designed an efficient real-time tracking strategy which substantially resolve the challenges of the ATR chemical and biological degradation kinetics.
Modeling phenomena in viscoelasticity, biological models, chemical kinetics, heat conduction in materials with memory, population dynamics, fluid dynamics and nuclear reactor dynamics, mathematical biology, financial mathematics, compression of viscoelastic media, and other similar areas are all done by partial integro-differential equations of type (1).
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CEO of Professional Science Editing for Scientists @ prosciediting.com