Titlebook: Laser Capture Microdissection; Methods and Protocol Graeme I. Murray Book 2011Latest edition Springer Science+Business Media, LLC 2011 Down

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Lori A. Field,Brenda Deyarmin,Craig D. Shriver,Darrell L. Ellsworth,Rachel E. Ellsworths in theory, applications, technology, and policy implicatio.This volume, developed in honor of Dr. Dundar F. Kocaoglu, aims to demonstrate the applications of the Hierarchical Decision Model (HDM) in different sectors and its capacity in decision analysis. It is comprised of essays from noted schol

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Michael A. Tangrea,Jeffrey C. Hanson,Robert F. Bonner,Thomas J. Pohida,Jaime Rodriguez-Canales,Michafor SiGe.Comprehensive description of the momentum-based andThis book summarizes the research of more than a decade. Its early motivation dates back to the eighties and to the memorable talks Dr. C. Moglestue (FHG Freiburg) gave on his Monte-Carlo solutions of the Boltzmann transport equation at the

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Danny Jonigk,Friedrich Modde,Clemens L. Bockmeyer,Jan Ulrich Becker,Ulrich Lehmanncally oriented approaches to emergence diverge from natural physical processes, creating a need to abandon some traditional assumptions, such as the substance-accidence model of entities and their properties and the causal determination of wholes solely by their basal entities. Physical processes in

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Ru Jiang,Rona S. Scott,Lindsey M. Hutt-Fletcherthe proposed concept in three selected and sufficiently different domains. UPE formulation, in this case, is based upon the solution of four essential distinctions: (1) the distinction between weak and strong emergence; (2) the distinction between emergence and supervenience; (3) the distinction bet

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Clemens L. Bockmeyer,Danny Jonigk,Hans Kreipe,Ulrich Lehmanne state-of-the-art hierarchical feature selection algorithms. The novelties of this book are three-fold. To begin with, this book discusses the hierarchical feature selection in depth, which is generally a novel research area in Data Mining/Machine Learning. Seven different state-of-the-art hierarch

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