Titlebook: Vegetable Crop Pests; Roderick G. McKinlay Book 1992 Palgrave Macmillan, a division of Macmillan Publishers Limited 1992 crop.crop pests.c

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书目名称Vegetable Crop Pests影响因子(影响力)




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书目名称Vegetable Crop Pests网络公开度学科排名




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书目名称Vegetable Crop Pests被引频次学科排名




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T. H. Coakerf the transfer matrix to generate the wavefunctions by applying certain operators (which can be interpreted as quasi-particle creation operators) to a reference state (known as the .). The Bethe equations emerge as consistency conditions for these states to be eigenvectors of the transfer matrix. Th

SMART

D. A. Cooke,A. M. Dewarrkets that have become increasingly globalized. It identifies the forces that are shaping international monetary arrangements and driving financial markets in an increasingly liberalized environment. The book pays particular attention to the implications for developing countries and how they are aff

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B. Emmett. Nonlinear state space models are often encountered, for example, in target tracking [6] and inertial navigation systems [8, 9]. Distributed estimation tasks arise frequently in the context of sensor networks [28] and multisensor tracking [29, 30]. In this chapter we examine the extended and decent

宽度

S. Finch,A. R. Thompsonticular type of .) rather than in relation to a set of objects from which the individual object may be selected. To do so, one could define the quantity of information in an object in terms of the number of bits required to describe it. A description of an object is evidently only useful if we can r

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A. J. Biddle,S. H. Hutchins,J. A. Wightmanances, such as commute time, biharmonic, diffusion, and wave distances...Within this context, this book is intended to provide a common background on the definition and computation of the Laplacian spectral kernels and distances for geometry processing and shape analysis. To this end, we define a un

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P. R. Ellis,J. A. Hardmaneous equation models, and represents the convergence of relatively independent research traditions in psychometrics, econometrics and biometrics. The idea of latent variables arose primarily from psychometrics beginning with Spearman in 1904, and led eventually to the development of the factor analy