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At first, single experiments could take weeks, but the results gave diffusion chronometry teeth.
For optimal reproducibility and comparability of single experiments a process in a bioreactor was developed allowing direct monitoring and prevention of nutrient or oxygen limitations.
Unless differently specified, all the single experiments are run on 100 executors and a master node with one virtual core and 7GB of RAM each.
A comparison of two empirical models, two semi-empirical models and two mechanistic models is performed using calibration of single experiments.
Predominantly, results and conclusions are based on single experiments and the influence of stochastic effects, uncertainties as well as error propagations are neglected or had not been discussed.
Some differences were observed between the emission curves for single experiments on paint B. The emission curves are related to the volume of collected runoff water, i.e. similar exposure of the test specimens to runoff water.
In contrast to this, experiments in a bioreactor are highly reproducible with very low standard deviations between single experiments but biomass formation cannot be monitored due to inhomogeneous dispersion of fungal mycelium in the culture broth.
Wild type and hupAB strains were also tested in single experiments at the transition phase.
The data represent the mean ± variance of computer-derived estimates from single experiments done in quadruplicate.
The results from the between-subject analysis confirmed the findings from the single experiments.
Single experiments were performed with particular conditions, such as specific plating density and specific RANKL treatment.
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