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Titlebook: Methods in Membrane Biology; Volume 2 Edward D. Korn Book 1974 Plenum Press, New York 1974 Lipid.biology.glycoprotein.membrane.membrane bio

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Book 1974e permeability. The powerful tool of NMR spectroscopy will have even fuller application with the development of techniques, al­ ready partially exploited, for l3C-Iabeling of specific carbon atoms in lipid molecules and with extension of the observations to membrane proteins. The following two chapt
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Mary Catherine Glickws that the Language Based Approach systems achieved better results as compared to the Vector Space Model Approach and Context Based Approach Systems. The Language Based Approach Systems managed to acquire 0.4146, 0.7560 and 0.7445 for Mean Average Precision, Precision @ 10 and Normalized Discontinu
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Roger A. Laine,Klaus Stellner,Sen-Itiroh Hakomorir is interested in the product. The measurement variable based on Aga Bojko taxonomy. The value of variable is displayed in graphical form because in graphical form the analysis of consumer interest in e-commerce product more easily to be done. Implementation of modeling consumer interest uses Ogama
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Theodore L. Steck Fuzzy TOPSIS is used to determine the alternative most suitable in relation to different selection criteria and z-number to present experts reability, this method can choose the best alternative from a number of alternatives based on some specific criteria. A numerical example on FMCDM is used to d
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Y. Eilam,W. D. Steinmbination of the above three operators. The results of these comparisons show that the GA-inversion mutation operator can achieve better solution in minimizing the total distance of the tour. In addition, the GA with combination of three mutation operators has great potential in reducing the computa
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o the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in978-3-319-51279-2978-3-319-51281-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
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