Titlebook: Model Theory and Algebraic Geometry; An introduction to E Elisabeth Bouscaren Book 1998 Springer-Verlag Berlin Heidelberg 1998 Abelian vari

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Regina M. Buresnowledge has become a major challenge. Theproceedings of scientific meetings are therefore most helpful in thisregard. .This volume provides highlights of many of the recent and mostimportant technological advances and concepts in cardiacelectrotherapy, written by the most prominent figures in the f

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Understanding Dynamic Competitive Technology Diffusion in Electronic Marketsdy, in contrast, examines the diffusion of different IT products with brand differentiation and competition. Drawing upon existing theories of product diffusion, we propose a research model to capture the dynamics of the competitive diffusion of web-based IT products and validate it with longitudina

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The Investigation of Information Failures in Organizations live in an imperfect world and have to take account of a range of barriers to information flow, some of which deflect or alter the flow, while others just soak it up and become, in effect, information sinks (Unesco, 1977).

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Experimental Validation on Sensitivity of Squint Angle and Coherence of Linear Phase Error for One Echo-Driven MOCO Methodetection. Recently, we published an echo-driven motion compensation (MOCO) method suited for THz-ViSAR and obtained satisfactory experimental results. However, the discussion of the sensitivity of the squint angle and the coherence of the linear phase error for the proposed MOCO method still lacks t

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MicroRNAs in Type 2 Diabetes: Focus on MicroRNA Profiling in Islets of Langerhans,ls is central for the regulation of blood glucose levels and failure to release enough insulin results in hyperglycemia and T2D. The importance in T2D pathogenesis of single miRNAs in beta cells has been described; however, to get the full picture, high-throughput miRNA sequencing is necessary. Here

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Noncommuting Filters and Dynamic Modelling for Les of Turbulent Compressible Flow in 3D Shear Layern terms are . of comparable magnitude. We apply these filters to DNS data of the temporal mixing layer. The magnitude of the noncommutation terms and their contribution to the kinetic energy dynamics is determined. Finally, we show that LES predictions significantly depend on the specific explicit filter used in dynamic subgrid modelling.

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