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Alexander Haislip's Documents
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Alexander Haislip's Documents
Alexander Haislip's Documents
Domains in Ferroic Crystals and Thin Films
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Internationales Steuerrecht in der Praxis
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Acta Conventus Neo-Latini Torontonensis: Proceedings of the Seventh International Congress of Neo-Latin Studies Toronto, 8-13 August, 1988
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DIFFERENTIAL NEURAL NETWORKS FOR ROBUST NONLINEAR CONTROL
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The Works of John Ruskin, Volume 25 (Cambridge Library Collection - Works of John Ruskin)
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Social Performance: Symbolic Action, Cultural Pragmatics, and Ritual (Cambridge Cultural Social Studies)
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The New Psychology of Leadership: Identity, Influence and Power
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Pediatric Dialysis, Second Edition
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The Cambridge Handbook of Violent Behavior and Aggression
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Hallucinogenic Drugs and Their Psychotherapeutic Use
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Open Secrets: WikiLeaks, War and American Diplomacy
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German Folk Tales: Collected and Edited by the Grimm Brothers
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The Micro-Macro Link
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Interpreting Clifford Geertz: Cultural Investigation in the Social Sciences (Cultural Sociology)
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Antenna Arraying Techniques in the Deep Space Network
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Principal Manifolds for Data Visualization and Dimension Reduction (Lecture Notes in Computational Science and Engineering)
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Rings with generalized identities
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Separation Methods In Proteomics
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Anoxia: Evidence for Eukaryote Survival and Paleontological Strategies
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The Ante-Nicene Fathers (vol. VIII)
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International Energy Policy, the Arctic and the Law of the Sea (Center for Oceans Law and Policy)
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Numerical geometry of non-rigid shapes
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Health, Nutrition, & Population (Sector Strategy)
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Secrets of the Ruined Temple (Mage: the Awakening)
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Psychotropic Drug Handbook, 8 e 2006
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Blow-up in Nonlinear Sobolev Type Equations (De Gruyter Series in Nonlinear Analysis and Applications)
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Rock-forming minerals, Volume 1,Deel 1
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Tools for High Performance Computing: Proceedings of the 2nd International Workshop on Parallel Tools for High Performance Computing, July 2008, HLRS, Stuttgart
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Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking
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Principal manifolds for data visualization and dimension reduction
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