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Inorganic and Organometallic Polymers
This book has its origins in courses taught by the author to various und- graduate and graduate students at the Indian Institute of Technology, K- pur, India. The diversity of inorganic chemistry and its impact on polymer chemistry has been profound. This subject matter has grown considerably in the last decade and the need to present it in a coherent manner to young minds is a pedagogic challenge. The aim of this book is to present to the students an introduction to the developments in Inorganic and - ganometallic polymers. This book is divided into eight chapters. Chapter 1 provides a general overview on the challenges of Inorganic polymer synthesis. This is f- lowed by a survey of organic polymers and also includes some basic f- tures of polymers. Chapters 3-8 deal with prominent families of inorganic and organometallic polymers. Although the target group of this book is the undergraduate and graduate students of chemistry, chemical engineering and materials science it is also hoped that chemists and related scientists in industry would find this book useful.
Inorganic and Organometallic Macromolecules : Design and Applications
Polymers containing metals and metal-like atoms are essential materials for the extended opportunities and demands of the 21st century. This book describes the synthesis of some of these polymers and their potential application in many fields such as materials, biomedicine, engineering, communications, and ceramics.
Innovative Medicine : Basic Research and Development
Devoted to innovative medicine, comprising the proceedings of the Uehara Memorial Foundation Symposium 2014. It remains extremely rare for the findings of basic research to be developed into clinical applications, and it takes a long time for the process to be achieved. The task of advancing the development of basic research into clinical reality lies with translational science, yet the field seems to struggle to find a way to move forward. To create innovative medical technology, many steps need to be taken: development and analysis of optimal animal models of human diseases, elucidation of genomic and epidemiological data, and establishment of “proof of concept”.
Innovative dosage forms : Design and development at early stage
Provides information that is essential for the drug development effort Presents the latest advances in the field and describes in detail innovative formulations, such as nanosuspensions, micelles, and cocrystals Describes current approaches in early pre-formulation to achieve the best in vivo results Addresses regulatory and safety aspects, which are key considerations for pharmaceutical companies Includes case studies from recent drug development programs to illustrate the practical challenges of preformulation design
Innovative approaches for learning and knowledge sharing ; 1st European Conference on Technology Enhanced Learning, EC-TEL 2006, Crete, Greece, October 1-4, 2006, Proceedings
This book constitutes the refereed proceedings of the First European Conference on Technology Enhanced Learning, EiTEL 2006, held in Crete, Greece in October 2006. The 32 revised full papers, 13 revised short papers and 31 poster papers presented together with 2 keynote talks were carefully reviewed and selected from 192 submissions. The conference provides a unique forum for all research related to technology-enhanced learning, as well as its interactions with knowledge management, business processes and work environments. Topics addressed are collaborative learning, personalized learning, multimedia content, semantic web, metadata and learning, workplace learning, learning repositories and infrastructures for learning, as well as experience reports, assesment, and case studies.
Innovations in Macroeconomics ; 2nd ed.
Modern macroeconomics suffers from an unclear link between short-term Keynesian analysis and long-term growth modelling. Moreover, product and process innovations have been only partially integrated. The analysis suggests new approaches to innovations in open economies in many ways, including the Schumpeterian Mundell-Fleming model and new monetary growth models. A specific focus is on the role of innovations for output, employment and exchange rate developments. A new link between monetary analysis and growth modelling in open economies is presented. Structural change, innovations and growth are considered from a new perspective. This important new book sets a new direction for macroeconomics. By linking several strands of fundamental economic thinking into a coherent, integrated framework it provides a pathbreaking understanding into the fundamental forces shaping macroeconomic performance.
Innovations in Macroeconomics ; 1st ed.
Modern macroeconomics suffers from an unclear link between short-term Keynesian analysis and long-term growth modelling. Moreover, product and process innovations have been only partially integrated. The analysis suggests new approaches to innovations in open economies in many ways, including the Schumpeterian Mundell-Fleming model and new monetary growth models. A specific focus is on the role of innovations for output, employment and exchange rate developments. This book presents a new link between monetary analysis and growth modelling in open economies. Structural change, innovations and growth are considered from a new perspective. With respect to economic policy - in particular innovation policy - the analysis implies major changes, concerning both EU countries and other leading OECD economies.
Innovations in landscape architecture
The chapters explore digital technology, design processes and theoretical queries that shape the contemporary practice of landscape architecture. Topics covered include: Digital design Fabrication and prototyping Emerging technology Visualization of data System theory
Innovations in Hybrid Intelligent Systems
Hybrid Artificial Intelligence Systems (HAIS) combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain. This carefully edited book provides a comprehensive overview of the recent advances in the hybrid intelligent systems and covers a wide range of application areas, including data analysis and data mining, intelligent control, pattern recognition, robotics, optimization, etc. The book is aimed at researchers, practitioners and postgraduate students who are engaged in developing and applying advanced intelligent systems principles to solving real-world problems.
Innovations for requirement analysis : From stakeholders needs to formal designs ; 14th Monterey Workshop 2007, Monterey, CA, USA, September 10-13, 2007. Revised Selected Papers
This book presents the thoroughly refereed and revised proceedings of the 14th Monterey workshop, held in Monterey, CA, USA, September 10-13, 2007. The theme of the workshop was Innovations for Requirement Analysis: From Stakeholders' Needs to Formal Designs.The 10 revised full papers included in the book were carefully selected during two rounds of reviewing and revision. These are preceded by the abstracts of the three keynote talks as well as a detailed introduction to the theme of the workshop, including a case study used by many participants to frame their analyses, and a summary of the workshop's results.
Innovations and advanced techniques in systems, computing sciences and software engineering
Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computer Science, Software Engineering, Computer Engineering, and Systems Engineering and Sciences.Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering includes selected papers form the conference proceedings of the International Conference on Systems.
Innovation Policy in a Knowledge-Based Economy : Theory and Practice
Why Analyze Innovation Policies From a Knowledge- Based Perspective? It is broadly accepted that we have moved (or are moving) to a knowled- based economy, characterized at least by two main features: that knowl edge is a major factor in economic growth, and innovation processes are systemic by nature. It is not surprising that this change in the economic paradigm requires new analytical foundations for innovation policies. One of the purposes of this book is to make suggestions as to what they should include. Underpinning all the chapters in this book is a conviction of the impor tance of dynamic and systemic approaches to innovation policy. Nelson and Arrow saw innovation and the creation of new knowl edge as the emergence and the diffusion of new information, characterized essentially as a public good. The more recent theoretical literature regarded the rationale for innovation policies as being to provide solutions to "mar ket failures". Today, however, knowledge is seen as multidimensional (tacit vs. codified) and open to interpretation. Acknowledging that the creation, coordination and diffusion of knowledge are dynamic and cumu lative processes, and that innovation processes result from the coordination of distributed knowledge, renders the "market failure" view of innovation policies obsolete. Innovation policies must be systemic and dynamic
Innovation Matters : Competition Policy for the High-Technology Economy
A proposal for moving from price-centric to innovation-centric competition policy, reviewing theory and available evidence on economic incentives for innovation. Competition policy and antitrust enforcement have traditionally focused on prices rather than innovation. Economic theory shows the ways that price competition benefits consumers, and courts, antitrust agencies, and economists have developed tools for the quantitative evaluation of price impacts. Antitrust law does not preclude interventions to encourage innovation, but over time the interpretation of the laws has raised obstacles to enforcement policies for innovation. In this book, economist Richard Gilbert proposes a shift from price-centric to innovation-centric competition policy. Antitrust enforcement should be concerned with protecting incentives for innovation and preserving opportunities for dynamic, rather than static, competition. In a high-technology economy, Gilbert argues, innovation matters.
Innovation and Firm Performance : An Empirical Investigation for German Firms
The process of firms’ growth – in terms of productivity or employment – is a major concern of policy makers. In this context, innovations are considered to play a crucial role in stimulating firms’ performance. This book investigates this general hypothesis by looking at three topics: 1. Does innovation lead to an increase in employment growth? 2. Does innovation boost labour productivity? 3. Does innovation in one period improve innovation performance in subsequent periods? Based on a comprehensive innovation panel dataset for German firms, this book presents detailed results for each question, in particular by separating the effects induced by new products from those induced by the introduction of new production technologies. From a theoretical point of view, amongst others, a new multi-product model has been developed to study employment effects.
Inhibitory Regulation of Excitatory Neurotransmission
This book reviews aspects of GABAA receptor function, as well as the properties of a variety of other important inhibitory proteins, such as GABAC receptors, G-protein coupled receptors (specifically, GABAB receptors, metabotropic glutamate receptors and neuropeptide receptors), glycine receptors, GABA transporters and potassium channels. In addition, the consequences of mutations that disrupt the regulation of excitatory neurotransmission, and efforts to target the GABAergic system for therapeutic benefit, are discussed.
Inherited inborn errors in amino acids metabolism
Proteins are the most abundant organic molecules in animals, playing important roles in all aspects of cell structure and function. Proteins are biopolymers of acids, so named because the amino group is bonded to the carbon atom, next to the carbonyl group.
Ingredients for Successful System Level Design Methodology
Ingredients for Successful System Level Design Methodology discusses these wish lists, and provides detailed discussions on how our prototype implementations provide us with these much desired features.
Informed Traders as Liquidity Providers : Evidence from the German Equity Market
A high frequency transaction data set for the German equity market is the basis for Alexandra Hachmeister’s extensive empirical analysis. This includes a detailed market description of the German equity market, a new methodological approach for the identification of informed traders and finally the analysis of the individual liquidity providing and demanding behavior of the identified informed traders. Questioning the existing theoretical literature on liquidity provision in equity markets, she finds strong evidence for liquidity providing behavior of informed traders.
Information visualization : Human-centered issues and perspectives
This book is the outcome of the Dagstuhl Seminar on "Information Visualization -- Human-Centered Issues in Visual Representation, Interaction, and Evaluation" held at Dagstuhl Castle, Germany, from May 28 to June 1, 2007.Information Visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data.This book documents and extends the findings and discussions of the various sessions in detail.
Information theory and machine learning
The recent successes of machine learning, especially regarding systems based on deep neural networks, have encouraged further research activities and raised a new set of challenges in understanding and designing complex machine learning algorithms. New applications require learning algorithms to be distributed, have transferable learning results, use computation resources efficiently, convergence quickly on online settings, have performance guarantees, satisfy fairness or privacy constraints, incorporate domain knowledge on model structures, etc. A new wave of developments in statistical learning theory and information theory has set out to address these challenges.
