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In Fig. 6 optimal control profiles of both constant and exponential substrate feeding strategy are given.
Experiments are conducted by using the fed batch mode for Rhamnolipid production by using P. aeruginosa with both constant and exponential substrate feeding strategies.
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By tuning the C program with Lower limit as 0.01 and upper limit as 0.06 and by tuning various constant parameters such as setting iteration as 100, the glucose, nitrogen, phosphorus, both at constant and exponential feeding strategy give positive optimal solutions with a time interval of 4 h represented in Fig. 6.
Fig. 5 Exponential feeding strategy with respect to time Fig. 6 Optimal control profile for constant and exponential feeding strategy.
The various kinetic coefficients of constant and exponential feeding strategy are determined by using multiple linear regressions method.
In this scenario, 26% and 18% of active TB cases are due to primary progression with constant and exponential lifespans respectively.
The Bayesian skyline and relaxed clock models were selected over demographic (constant and exponential growth) and strict molecular clock models using Bayes factor analysis [30] (support >20 at log10 Bayes factor scale).
A compressibility law, characterized by a log-normal distribution with depth-dependent mean, constant variance and exponential covariance, is assumed.
Two parametric models (constant population and exponential growth) and one nonparametric model (Bayesian skyline) tree priors were used for the inference.
Continuous fit functions composed from constant, linear, and exponential terms allowed us to average a smooth curve through the noisy data.
For the analyses two coalescent population models were tested (constant size and exponential growth) plus the Yule tree prior.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com