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A scenario methodology, combining qualitative and quantitative elements, based on the Cross-Impact Balance Analysis, has been developed and applied.
Energy and entropy balance analysis has been carried out for the entire system to observe the irreversibility distribution within the plant and the contribution of different components.
A dynamic model derived from an overall energy balance analysis has been employed to describe the optical response inside an electrofluidic display (EFD) pixel for the oil dewetting and wetting stages.
Flux balance analysis has been used to investigate central carbon and energy metabolism of a two species consortium [ 27].
An alternative stoichiometry-based technique, flux balance analysis, has been applied to a two-species laboratory microbial system [ 27].
Flux Balance Analysis has been used to predict those proteins that, if removed from the model, result in loss of biomass production.
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Constraint-based metabolic modeling approaches such as flux balance analysis have been used to analyse genome-scale metabolic networks in several organisms such as Staphylococcus aureus, Helicobacter pylori, Mycoplasma genitalium and Pseudomonas aeruginosa.
Constraint-based modeling approaches, such as flux-balance analysis, has been applied in several metabolic networks [12], [13].
This model is a stoichiometric model to which Flux Balance Analysis also known as constraint-based analysis has been applied.
A detailed exergetic analysis has been developed in this work, both for general balance and specific variables.
Various methods — turbulent kinetic energy balance, Taylors hypothesis, and dimensional analysis — have been proposed to estimate the dissipation rate of turbulent kinetic energy.
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