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This paper examines an empirical regularity found in many societies: that family influences on the probability of transiting from one grade level to the next diminish at higher levels of education. We examine the statistical model used to establish the empirical regularity and the intuitive behavioral interpretation often used to rationalize it. We show that the implicit economic model assumes myopia. The intuitive interpretive model is identified only by imposing arbitrary distributional assumptions onto the data. We produce an alternative choice-theoretic model with fewer parameters that rationalizes the same data and is not based on arbitrary distributional assumptions.
Achieve Breakthrough Business Flexibility and Agility by Integrating SOA and BPM Thousands of enterprises have adopted Service Oriented Architecture (SOA) based on its promise to help them respond more rapidly to changing business requirements by composing new solutions from existing business services. To deliver on this promise, however, companies need to integrate solid but flexible Business Process Management (BPM) plans into their SOA initiatives. Dynamic SOA and BPM offers a pragmatic, efficient approach for doing so. Top IBM® SOA architect Marc Fiammante takes you step-by-step through combining BPM and SOA, and using them together to build a more flexible, dynamic enterprise. Throughout the book, he emphasizes hands-on solutions based on his experience supporting dozens of enterprise SOA implementations. Practical from start to finish, Dynamic SOA and BPM squarely addresses two of the most critical challenges today’s IT executives, architects, and analysts face: implementing BPM as effectively as possible and deriving more value from their SOA investments. Coverage Includes Moving from simplified integration to dynamic processes: realizing the full business value of services Streamlining enterprise architecture to accelerate business and IT alignment Implementing dynamic business processes based on small, flexible modules that can be quickly modeled, tested, delivered, and improved Planning for services and information variability to limit the impact of change on processes and other consumers of services Providing an integration layer between consumers and providers that addresses issues classical Enterprise Service Bus (ESB) approaches cannot solve alone Tooling and practices for the development, management, and monitoring of the complete SOA/BPM life cycle
Constitutional Dynamic Chemistry: Bridge from Supramolecular Chemistry to Adaptive Chemistry, by Jean-Marie Lehn Multistate and Phase Change Selection in Constitutional Multivalent Systems, by Mihail Barboiu Dynamic Systemic Resolution, by Morakot Sakulsombat, Yan Zhang and Olof Ramström Dynamic Combinatorial Self-Replicating Systems, by Emilie Moulin and Nicolas Giuseppone DCC in the Development of Nucleic Acid Targeted and Nucleic Acid Inspired Structures, by Benjamin L. Miller Dynamic Nanoplatforms in Biosensor and Membrane Constitutional Systems, by Eugene Mahon, Teodor Aastrup und Mihail Barboiu Dynamic Assembly of Block-Copolymers, by D. Quémener, A. Deratani und S. Lecommandoux Dynamic Chemistry of Anion Recognition, by Radu Custelcean Supramolecular Naphthalenediimide Nanotubes, by Nandhini Ponnuswamy, Artur R. Stefankiewicz, Jeremy K. M. Sanders und G. Dan Pantoş Synthetic Molecular Machines and Polymer/Monomer Size Switches that Operate Through Dynamic and Non-Dynamic Covalent Changes, by Adrian-Mihail Stadler und Juan Ramírez Reversible Covalent Chemistries Compatible with the Principles of Constitutional Dynamic Chemistry: New Reactions to Create More Diversity, by Kamel Meguellati und Sylvain Ladame.
Present trends in cloud providers (CPs) capabilities have given rise to the interest in federating or collaborating clouds, thus allowing providers to revel on an increased scale and reach more than that is achievable individually. Current research efforts in this context mainly focus on building supply chain collaboration (SCC) models, in which CPs leverage cloud services from other CPs for seamless provisioning. Nevertheless, in the near future, we can expect that hundreds of CPs will compete to offer services and thousands of users will also compete to receive the services to run their complex heterogeneous applications on a cloud computing environment. In this open federation scenario, existing collaboration models (i.e. SCC) are not applicable since they are designed for static environments where a-priori agreements among the parties are needed to establish the federation. To move beyond these shortcomings, Dynamic Cloud Collaboration Platform establishes the basis for developing dynamic, advanced and efficient collaborative cloud service solutions that are scalable, high performance, and cost effective. We term the technology for inter-connection and inter-operation of CPs in open cloud federation as Dynamic Cloud Collaboration (DCC), in which various CPs (small, medium, and large) of complementary service requirements will collaborate dynamically to gain economies of scale and enlargements of their capabilities to meet quality of service (QoS) requirements of consumers. In this context, this book addresses four key issues - when to collaborate (triggering circumstances), whom to collaborate with (suitable partners), how to collaborate (architectural model), and how to demonstrate collaboration applicability (simulation study). It also provides solutions, which are effective in real environments.
Effective techniques for applying Dynamic Combinatorial Chemistry In a relatively short period, Dynamic Combinatorial Chemistry (DCC) has grown from proof-of-concept experiments in a few isolated labs to a broad conceptual framework with applications to an exceptional range of problems in molecular recognition, lead compound identification, catalyst design, nanotechnology, polymer science, and others. Bringing together a group of respected experts, this overview explains how chemists can apply DCC and fragment-based library methods to lead generation for drug discovery and molecular recognition in bioorganic chemistry and materials science. Chapters cover: Basic theory Approaches to binding in proteins and nucleic acids Molecular recognition Self-sorting Catalyst discovery Materials discovery Analytical chemistry challenges A comprehensive, single-source reference about DCC methods and applications including aspects of fragment-based drug discovery, this is a core reference that will spark the development of new solutions and strategies for chemists building structure libraries and designing compounds and materials.
This book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader’s area of interest, or read together to provide a comprehensive overview of the topic. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation.
Optimize your dynamic spectrum access approach using the latest applications and techniques Dynamic Spectrum Access Decisions: Local, Distributed, Centralized and Hybrid Designs prepares engineers to build optimum communications systems by describing at the outset what type of spectrum sensing capabilities are needed. Meant for anyone who has a basic understanding of wireless communications and networks and an interest in the physical and MAC layers of communication systems, this book has a tremendous range of civilian and military applications. Dynamic Spectrum Access Decisions provides fulsome discussions of cognitive radios and networks, but also DSA technologies that operate outside the context of cognitive radios. DSA has applications in: Licensed spectrum bands Unlicensed spectrum bands Civilian communications Military communications Consisting of a set of techniques derived from network information theory and game theory, DSA improves the performance of communications networks. This book addresses advanced topics in this area and assumes basic knowledge of wireless communications.
"Nervous systems do not live by the rate code alone. The ceaseless activities of groups of neurons are choregraphed into waves, oscillations, synchronized rhythms, and transient coalitions; it is these that underlie behavior, memory, and conscious perception. This exuberant manifesto masterfully summarizes and reflects upon the relevant evidence of these patterns from all manner of brains, small and large." --
This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents major and well-known methods and approaches for the design of systems able to learn and to fully adapt its structure and to adjust its parameters according to the changes in their environments. Also presents the problem of learning in non-stationary environments, its interests, its applications and challenges and studies the complementarities and the links between the different methods and techniques of learning in evolving and non-stationary environments.