Cells in osteogenic differentiation medium at 5% and 20% oxygen exhibit an initial decrease in the redox ratio on day 4, followed by a consistent increase, with the mean values achieving statistically similar values to those of day 0, by day 8 (in the case of normoxia) or day 12 (in the case of hypoxia).
The mean RQ value achieved by normal diploid lymphocyte samples was 1.08 by the assay we have used and therefore we chose to use RQ ⩾2.1 for HER2 amplification in order to reduce the chances of any false-positive results (Suo et al, 2004).
In this work, we use a multi-objective optimization design approach to find the best values for the tunable-in-the-lab parameters that, for a given desired mean expression value, achieve minimization of gene expression noise caused by intrinsic and extrinsic fluctuations.
This design curve represents the mean reduction values achieved in the experiments conducted by Winter and other researchers.
This was not done for the previous simulations because they had all reached steady states in which the day-to-day variations were minuscule compared with the mean steady-state values achieved.
Actual mean steady-state values achieved over the final 150 min of insulin clamp were 5, 30, 72, and 167 mU/l.
This means that the smallest AIC values achieved among candidate models is deemed the preferred model.
We let π be the mean value of the performance achieved by ρ h for a given ε.
We used the maximum entropy principle calculation of the program to find this estimated distribution; thus, the result was the closest to a uniform distribution with a mean that was closest to the observed mean value from known occurrences, achieved by a regularization parameter.
For the first decision method, an approach of ranking fuzzy numbers by their possibilistic mean value is adopted to achieve the optimal solution.
For the normal incidence absorption coefficient excellent agreement was achieved with mean value and standard deviation of the differences of 0.01±0.05.
