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The agreement between experiments and estimates being obtained strongly supports the idea that the proposed approach can be used to perform a rapid assessment of mechanical assemblies damaged by in-service fretting fatigue loading.
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Figure 12 Comparison between experiments and simulations.
The variations between experiments were estimated by standard deviations and the statistical significance of changes was estimated using the student's t-test.
Under certain assumptions, we can treat this situation as a natural experiment and estimate the difference in some outcome between the two countries.
Correlation between experiments was estimated using Pearson's correlation coefficient.
In physiological optimization of experimental conditions, the variations between experiments were estimated by standard deviations (S.D).
A mixed-model ANOVA comparison of the VSTM task arcsine-transformed accuracy rates and the memory estimates between Experiments 1a and 1b as a function of load revealed no interaction [accuracy rates, F < 1; memory estimates, F 1, 39) = 1.81, p =.19, η =.04] and no main effect for experiment [accuracy rates, F 1, 38) = 1.81, p =.19, η =.05; memory estimates, F 1, 38) = 2.38, p =.13, η =.06].
This set of markers was used for validation between Experiments 1 and 2. Variance components were estimated treating all effects as random effects.
Adjustment between model and experiments yielded estimates for the specific membrane resistivity, Rm, and membrane capacitance, Cm, of around 12 000 Ω × cm and 1.3 μF/cm, respectively, assuming an axial resistance, Ri of 150 Ωcm.
We will describe the difference between lab experiments and field experiments and the differences between analog experiments and digital experiments.
In the second experiment, there was no difference between measured and estimated intake (P < 0.35).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com