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The 13C-labeling data was then rigorously integrated for flux elucidation using the COMPLETE-MFA approach.
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The inner optimizations involved estimating parameters associated with the dependent flux subset using their estimated (integrated) flux values, performed one flux at a time.
For the parameters in our representative case (Fig. 4), we integrated the flux of water over the side surface of the pipe from time zero to final cooling time to T a.
In this work, we develop a reliable and efficient parameter estimation method, called integrated flux parameter estimation, for ODE models having more reactions than (measured) species.
Figure 4 Monthly climatology of globally integrated CO2 flux (PgC year -1 ) in the simulation.
Figure 6 Time series of globally integrated CO2 flux anomalies (PgC year -1 ) in the simulation.
Figure 6 shows the time series of globally integrated CO2 flux anomaly from the simulation.
In this work, we present a new parameter estimation method, called integrated flux parameter estimation, based on an incremental approach using integrated reaction fluxes.
The composite is for months when the globally integrated oceanic CO2 flux anomaly exceeds 0.15 PgC year-1 or falls below -0.15 PgC year-1.
The composite is for months when the globally integrated terrestrial CO2 flux anomaly exceeds 0.6 PgC year-1 or falls below - 0.6 PgC year-1.
For calculation of AUCPCH and AUCSNP we integrated the normalized flux signals over the total time of iontophoresis, i.e. 490s of stimulation plus 180s for maximum vasodilation.
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