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For such parameters, we tested a range of the current best estimates and focused on the relative, rather than the absolute, effects (6).
For each run at different parameters we tested equipped vehicle rates from 0%to100%0% in increments of 10% and performed 20 runs to average out the data and remove any transient or artifactual data.
The other parameters we tested were dive order and body mass (see Methods).
For both parameters, we tested values ranging from 0 to 250 with step size 10.
Since each model has arbitrary parameters, we tested a number of data sets using several different parameter settings.
The randomisation test analyses we performed were unable to provide statistical support for relationships among the parameters we tested at a 5% level of significance.
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To determine the sensitivity of this parameter, we tested values that were one order of magnitude higher, and one and two orders of magnitude lower.
As an additional parameter, we tested for the growth of mutants on YP glycerol (YPG) medium by drop test analysis.
By using airborne lidar data as the "truth" and focusing on the mean canopy height (MCH) as a key structural parameter, we test two commonly-used non-parametric techniques of maximum entropy (ME) and random forest (RF) for developing maps over a study site in Central Gabon.
In the former, we used the Poisson-Gamma (PG) distribution and two different credible levels (γ=99%andnd 99.9 %), while in the latter we analysed the data using the default parameter setting; we tested alternative parameter sets but the corresponding results were qualitatively similar (not shown).
Other inflammatory parameters that we tested showed no significant difference between patients with mild-moderate asthma and severe-critical asthma.
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