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Methods for mixture particles imaging are increasingly popular in many fields of engineering research.
This assumption is often made in Maximum Likelihood and Bayesian QTL mapping methods for mixture models because it is a good approximation, although the number of QTL alleles is unknown and difficult to infer in outbred populations [ 49].
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For the description of thermodynamic and transport properties, there are some methods recommended for pure substances, but the applicability of those methods for mixtures at supercritical state is yet not clear.
For an overview and a comparison of different methods for mixtures of LMs and linear mixed models, see Scharl et al. (2010) in the context of time-course gene expression data analysis.
We apply the proposed parametric method for mixture ratio estimation of the CCA ultrasound image.
The method for mixture distribution model is suitable to various microarray data types obtained from single noise sources, or from multiple noise sources.
The number and composition of the slag samples were determined using the extreme vertices design method for mixture experiments in order to optimize the experimental work.
Diffusion NMR can be a very useful method for mixture analysis, often allowing the noninvasive separation of resonances due to different mixture components [ 71].
Examples that illustrate the performance of the method for mixtures with nonideal phases are presented.
The pyrolysis of 25DMF has been re-investigated in a shock tube using the single-pulse method for mixtures of 3%25DMFF in argon, at temperatures from 1200 to 1350 K, pressures from 2 to 2.5 atm and residence times of approximately 2 ms.
Through a series of experimental manipulations the authors investigate the potential of the method for mixtures of bacterial and yeast species.
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