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Special consideration is given to the time-course of each component and factors that significantly contribute to component variation.
A Deliyannis filter is a special case of the MFB bandpass configuration, one that is very stable and relatively insensitive to component variation.
This paper focuses on straight-build assembly and uses a probabilistic approach to analyse the influence of component variation on the eccentricity of the build.
Thereafter, the H component variation is normalized to the difference between the H component values and the mean midnight values for the five quietest days; providing ΔH, i.e., ΔH SLZ = H SLZ − 〈H SLZ00LT〉.
These populations are excellent materials for dissecting complex quantitative traits into the component variation as a set of monogenic loci, thus providing a platform for discovery of new QTL alleles.
Therefore, this red shift of Raman spectra indicates the component variation from the MnO2 phase to Mn3O4, which is in excellent agreement with the result obtained from the XRD study.
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As such, the effect of model component variations can be evaluated towards different objective functions or output variables.
But little investigation has been done on how component variations with different scales contribute to the final dimensional variation of non-rigid assemblies.
Additionally, magnetic resonance imaging (MRI) suggests that different P300 wave component variations are correlated with frontal lobe area size and parietal area size (Huang et al. 2015).
In Fig. 6 c, the maxima of midlatitude X bays as well as maxima and minima of corresponding Y component variations are marked by black arrows.
Connective models are used to predict assembly variations arising from individual component variations, and a probabilistic approach is used to calculate the probability density function (pdf) for the eccentricity of the build.
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