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The parameters for the resulting coupled set of PB equations are estimated by fitting the time varying coating mass variability curve from the first few tens of seconds (35 85 s) of DEM simulation data.
An attempt to develop a predictive and manageable mathematical model for particle growth in emulsion homopolymerization was carried out by fitting the time evolution of the conversion in the chemically initiated seeded emulsion polymerization of styrene carried out under a wide range of experimental conditions with models of different complexity.
Growth of semi-crystalline tobermorite was quantified by fitting the time dependent data to the Avrami equation.
We measured the PBF of contralateral lung without TF correction by fitting the time activity curve of the lung to a one tissue compartment model.
In our experiments, the average lifetime of GFP (2.3 ns±0.02 ns) and TLR9-GFP (2.9 ns±0.03 ns) was determined by fitting the time correlated single photon counting (TCSPC) data with Eq.1 (single component, i = 1).
Reaction progress was monitored continuously by product (AMC) fluorescence and initial rates were obtained by fitting the time courses, including data with substrate depletion less than 10%.
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The behavior of the model is validated and input parameters are obtained for the non-linear steady-state model, by fitting the time-dependent linearized model to a series of ac-impedance spectra of porous LiCoO2 cathodes.
The area under the time-activity curve was calculated by fitting the time-activity data from the plasma and blood samples with three exponential functions using a peeling-off technique in a computer program (Sigma Plot 11, Systat Software, Chicago, IL, USA).
The exchange rates (kex) were determined by fitting the time-dependent peak intensity to a single exponential function.
Next, we calculated the rate for all positions showing a significant SHAPE change (ΔSHAPE > 0.15) by fitting the time-resolved data using exponential decay/association kinetics.
Quantitative analysis of the F and H MR spectra was performed by fitting the time-domain signal using the software package MRUI (van den Boogaart et al, 1995) and assuming Lorentzian line shapes.
More suggestions(16)
by fitting the painting
by fitting the strain/time
by fitting the linear
by fitting the decay
by fitting the sorption
by fitting the amplitude
by fitting the sample
by fitting the survival
by fitting the instruction
by fitting the logδ φ
by fitting the model
by fitting the production
by fitting the payment
by fitting the distribution
by fitting the spectrum
by fitting the fluorescence
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