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Min Xiao's Documents
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Min Xiao's Documents
Min Xiao's Documents
RNA Interference: From Biology to Clinical Applications (Methods in Molecular Biology)
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Energy-Aware System Design: Algorithms and Architectures
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Data Warehousing and Knowledge Discovery: First International Conference, DaWaK'99 Florence, Italy, August 30 - September 1, 1999 Proceedings
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Smooth Ergodic Theory of Random Dynamical Systems (Lecture Notes in Mathematics)
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The Portfolio and the Diagram: Architecture, Discourse, and Modernity in America
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Entity-Relationship Approach - ER '92: 11th International Conference on the Entity-Relationship Approach, Karlsruhe, Germany, October 7-9, 1992. Proceedings
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Languages, Compilers, and Tools for Embedded Systems: ACM SIGPLAN Workshop LCTES 2000, Vancouver, Canada, June 18, 2000, Proceedings
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Stochastic Ageing and Dependence for Reliability
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Information and Communication on Technology for the Fight against Global Warning - ICT-GLOW 2011
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Animal Models of Human Disease, Volume 100 (Molecular Biology and Translational Science)
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Smooth Ergodic Theory of Random Dynamical Systems
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Information Security and Cryptology ICISC 2006: 9th International Conference, Busan, Korea, November 30 - December 1, 2006, Proceedings
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Combinatorial Materials Synthesis
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NEOPROTEROZOICGEOBIOLOGYANDPALEOBIOLOGY
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Neoproterozoic Geobiology and Paleobiology
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Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives
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Neoproterozoic Geobiology and Paleobiology (Topics in Geobiology)
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The Social Construction of SARS: Studies of a health communication crisis (Discourse Approaches to Politics, Society and Culture)
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Paradoxes in Geology
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Web, and HCI)
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The Avifauna of Taiwan Volumn.3
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Data Mashups in R
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Linear Regression Analysis: Theory and Computing
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Linear Regression Analysis: Theory and Computing
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Essentials of Apoptosis: A Guide for Basic and Clinical Research
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Technologies for E-Services, 4 conf., TES 2003
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Smooth Ergodic Theory of Random Dynamical Systems (Lecture Notes in Mathematics)
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Heineken USA: Reengineering Distribution with Hops
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Rethinking Schumann
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Data Mashups in R
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