Developing algorithms for multi-dimensional Fourier transforms, this book presents results that yield highly efficient code on a variety of vector and parallel computers. By emphasising the unified basis for the many approaches to both one-dimensional and multidimensional Fourier transforms, this book not only clarifies the fundamental similarities, but also shows how to exploit the differences in optimising implementations. It will thus be of great interest not only to applied mathematicians and computer scientists, but also to seismologists, high-energy physicists, crystallographers, and electrical engineers working on signal and image processing.

Up-to-date coverage of most micro-econometric topics; first half parametric, second half semi- (non-) parametric

Many empirical examples and tips in applying econometric theories to data

Essential ideas and steps shown for most estimators and tests; well-suited for both applied and theoretical readers

This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines. It thus bridges the gap between digital signal processing algorithms and their implementation on a variety of computing platforms. The mathematical concept of tensor product is a recurring theme throughout the book, since these formulations highlight the data flow, which is especially important on supercomputers. Because of their importance in many applications, much of the discussion centres on algorithms related to the finite Fourier transform and to multiplicative FFT algorithms.

With growing economic inequality and threats to the sustainability of human societies, Koh argues that cooperatives can play an important role in promoting decent work and reducing economic inequality in the 21st century, and thus urges policy makers to reignite policy discussions on cooperatives. This book shows how worker cooperatives are uniquely situated to empower low and middle-wage workers and what governments can do to promote them. Koh clarifies the mechanism in which cooperatives create an upper hand over conventional companies in ‘labor-intensive’ sectors, thereby boosting employment potential. He also explains cooperatives’ wide contribution to the SDGs, including the resilience of cooperatives in times of crises and their potential to address the challenges of ageing societies. Furthermore, he provides a foundational work on ‘decentralized supporting mechanisms for cooperatives’ based on the analysis of the case of South Korea, where the number of cooperatives increased by 2,000 percent between 2013 and 2023. Lastly, he explains how to use Official Development Assistance (ODA) to support cooperatives in developing countries, especially Private Sector Instruments (PSIs) which were introduced in 2016 by the Development Assistance Committee of the OECD. This book will be interest for researchers in the fields of co-operatives management, development economics and heterodox economics, as well as policymakers and professionals.

The book analyses the development of international standards for countering terrorist financing from the perspective of international criminal law. It is likely to find its value for readers not only as a monograph on the financing of terrorism but also as a reference book on the operational and theoretical development of anti-money laundering strategy following 9/11. In particular, the works of main actors in this area such as the UN Security Council, Financial Action Task Force, IMF, World Bank, and APG are dealt with in depth.

The aim of this work is to present several topics in time-frequency analysis as subjects in abelian group theory. The algebraic point of view pre dominates as questions of convergence are not considered. Our approach emphasizes the unifying role played by group structures on the development of theory and algorithms. This book consists of two main parts. The first treats Weyl-Heisenberg representations over finite abelian groups and the second deals with mul tirate filter structures over free abelian groups of finite rank. In both, the methods are dimensionless and coordinate-free and apply to one and multidimensional problems. The selection of topics is not motivated by mathematical necessity but rather by simplicity. We could have developed Weyl-Heisenberg theory over free abelian groups of finite rank or more generally developed both topics over locally compact abelian groups. However, except for having to dis cuss conditions for convergence, Haar measures, and other standard topics from analysis the underlying structures would essentially be the same. A re cent collection of papers 17] provides an excellent review of time-frequency analysis over locally compact abelian groups. A further reason for limiting the scope of generality is that our results can be immediately applied to the design of algorithms and codes for time frequency processing."

How has Hanguk (South Korean) hip hop developed over the last two decades as a musical, cultural, and artistic entity? How is hip hop understood within historical, sociocultural, and economic matrices of Korean society? How is hip hop represented in Korean media and popular culture? This book utilizes ethnographic methods, including fieldwork research and life timeline interviews with fifty-three influential hip hop artists, in order to answer these questions. It explores the nuanced meaning of hip hop in South Korea, outlining the local, global, and (trans)national flows of musical and cultural exchanges. Throughout the chapters, Korean hip hop is examined through the notion of buran-personal and societal anxiety or uncertainty-and how it manifests in the dimensions of space and place, economy, cultural production, and gender. Ultimately, buran serves as a metaphoric state for Hanguk hip hop in that it continuously evolves within the conditions of Korean society.

This book explores the role of governments and international financial institutions (IFIs) in mitigating the perceived risks in green infrastructure markets of emerging and developing countries. Although green infrastructure is designed to enhance a country's wealth, the author sheds light on the way that the market is failing to link up institutional investors' needs for a stable yield with the demands of potentially financially-viable investments in green infrastructure markets. Providing a detailed analysis of the root cause of this market failure, this innovative book offers powerful solutions for developing countries. An essential read for academics of development economics and international finance, as well as practitioners and policy-makers, this book covers topics such as industrial policy, climate governance, carbon markets and capital markets.

The economics literature on industry dynamics contains a wide array of empirical works identifying a set of stylized facts. There have been several attempts at constructing analytical models to explain some of these regularities. These attempts are highly stylized and limited in scope to keep the analyses tractable. A general model of industry evolution capable of generating firm and industry behaviour that can match the data is needed. This book endeavours to explain many well-documented aspects of the evolution of industries over time. It uses an agent-based computational model in which artificial industries are created and grown to maturity in silico. While the firms in the model are assumed to have bounded rationality, they are nevertheless adaptive in the sense that their experience-based R&D efforts allow them to search for improved technologies. Given a technological environment subject to persistent and unexpected external shocks, the computationally generated industry remains in a perennial state of flux. The main objective of this study is to identify patterns that exist in the movements of firms as the industry evolves over time along the steady state in which the measured behaviour of the firms and the industry stochastically fluctuate around steady means. The computational model developed in this book is able to replicate many of the stylized facts from the empirical industrial organization literature, particularly as the facts pertain to the dynamics of firm entry and exit. Furthermore, the model allows examination of cross-industry variations in entry and exit patterns by systematically varying the characteristics of the market and the technological environment within which the computationally generated industry evolves. The model demonstrates that the computational approach based on boundedly rational agents in a dynamic setting can be useful and effective in carrying out both positive and normative economic analysis.

In recent decades the concept of kinship has been challenged and reinvigorated by the so-called "repatriation of anthropology" and by the influence of feminist studies, queer studies, adoption studies, and science and technology studies. These interdisciplinary approaches have been further developed by increases in infertility, reproductive travel, and the emergence of critical movements among transnational adoptees, all of which have served to question how kinship is now practiced. Critical Kinship Studies brings together theoretical and disciplinary perspectives and analytically sensitive perspectives aiming to explore the manifold versions of kinship and the ways in which kinship norms are enforced or challenged. The Rowman and Littlefield International - Intersections series presents an overview of the latest research and emerging trends in some of the most dynamic areas of research in the Humanities and Social Sciences today. Critical Kinship Studies should be of particular interest to students and scholars in Anthropology, Sociology, Cultural Studies, Medical Humanities, Politics, Gender and Queer Studies and Globalization.

In recent decades the concept of kinship has been challenged and reinvigorated by the so-called "repatriation of anthropology" and by the influence of feminist studies, queer studies, adoption studies, and science and technology studies. These interdisciplinary approaches have been further developed by increases in infertility, reproductive travel, and the emergence of critical movements among transnational adoptees, all of which have served to question how kinship is now practiced. Critical Kinship Studies brings together theoretical and disciplinary perspectives and analytically sensitive perspectives aiming to explore the manifold versions of kinship and the ways in which kinship norms are enforced or challenged. The Rowman and Littlefield International - Intersections series presents an overview of the latest research and emerging trends in some of the most dynamic areas of research in the Humanities and Social Sciences today. Critical Kinship Studies should be of particular interest to students and scholars in Anthropology, Sociology, Cultural Studies, Medical Humanities, Politics, Gender and Queer Studies and Globalization.

In many disciplines of science it is vital to know the effect of a 'treatment' on a response variable of interest; the effect being known as the 'treatment effect'. Here, the treatment can be a drug, an education program or an economic policy, and the response variable can be an illness, academic achievement or GDP. Once the effect is found, it is possible to intervene to adjust the treatment and attain a desired level of the response variable. A basic way to measure the treatment effect is to compare two groups, one of which received the treatment and the other did not. If the two groups are homogenous in all aspects other than their treatment status, then the difference between their response outcomes is the desired treatment effect. But if they differ in some aspects in addition to the treatment status, the difference in the response outcomes may be due to the combined influence of more than one factor. In non-experimental data where the treatment is not randomly assigned but self-selected, the subjects tend to differ in observed or unobserved characteristics. It is therefore imperative that the comparison be carried out with subjects similar in their characteristics. This book explains how this problem can be overcome so the attributable effect of the treatment can be found. This book brings to the fore recent advances in econometrics for treatment effects. The purpose of this book is to put together various economic treatments effect models in a coherent fashion, make it clear which can be parameters of interest, and show how they can be identified and estimated under weak assumptions. The emphasis throughout the book is on semi- and non-parametric estimation methods, but traditional parametric approaches are also discussed. This book is ideally suited to researchers and graduate students with a basic knowledge of econometrics.

The economics literature on industry dynamics contains a wide array of empirical works identifying a set of stylized facts. There have been several attempts at constructing analytical models to explain some of these regularities. These attempts are highly stylized and limited in scope to keep the analyses tractable. A general model of industry evolution capable of generating firm and industry behaviour that can match the data is needed. This book endeavours to explain many well-documented aspects of the evolution of industries over time. It uses an agent-based computational model in which artificial industries are created and grown to maturity in silico. While the firms in the model are assumed to have bounded rationality, they are nevertheless adaptive in the sense that their experience-based R&D efforts allow them to search for improved technologies. Given a technological environment subject to persistent and unexpected external shocks, the computationally generated industry remains in a perennial state of flux. The main objective of this study is to identify patterns that exist in the movements of firms as the industry evolves over time along the steady state in which the measured behaviour of the firms and the industry stochastically fluctuate around steady means. The computational model developed in this book is able to replicate many of the stylized facts from the empirical industrial organization literature, particularly as the facts pertain to the dynamics of firm entry and exit. Furthermore, the model allows examination of cross-industry variations in entry and exit patterns by systematically varying the characteristics of the market and the technological environment within which the computationally generated industry evolves. The model demonstrates that the computational approach based on boundedly rational agents in a dynamic setting can be useful and effective in carrying out both positive and normative economic analysis.

Enzymes are indispensable tools in recombinant DNA technology and genetic engineering. This book not only provides information for enzymologists, but does so in a manner that will also aid nonenymologists in making proper use of these biocatalysts in their research. The Enzymology Primer for Recombinant DNA Technology includes information not usually found in the brief descriptions given in most books on recombinant DNA methodology and gene cloning.
Key Features
* Provides essential basics as well as up-to-date information on enzymes most commonly used in recombinant DNA technology
* Presents information in an easily accessible format to serve as a quick reference source
* Leads to a better understanding of the role of biocatalysts in recombinant DNA techniques

This book develops theory and algorithms leading to systematic waveform design in time-frequency space. The key tool employed in the work is the Zak transform, which provides a two-dimensional image for sequences, the Fourier transform, convolution, and correlation, and allows for the design of sequences directly in Zak space. Application areas covered include pulse radars and sonars, multibeam radar and sonar imaging systems, remote dielectric material identification, and code division multiple-access communication systems. This is an excellent reference text for graduate students, researchers, and engineers in radar, sonar, and communication systems.

In response to an Executive Order by former California Governor Schwarzenegger, an evaluation of the implications to California of possible climate changes was undertaken using a scenario-based approach. The Scenarios Project investigated projected impacts of climate change on six sectors in the California region. The investigation considered the early, middle and later portions of the twenty-first century, guided by a set of IPCC Fourth Assessment global climate model runs forced by higher and lower greenhouse gas emission scenarios. Each of these climate simulations produce substantial impacts in California that would require adaptations from present practices or status. The most severe impacts could be avoided, however, if emissions can be held near the lower end of global greenhouse gas emissions scenarios.Reprinted from Climatic Change, Vol. 109: Supplement 1 (2011)

This book explores the role of governments and international financial institutions (IFIs) in mitigating the perceived risks in green infrastructure markets of emerging and developing countries. Although green infrastructure is designed to enhance a country's wealth, the author sheds light on the way that the market is failing to link up institutional investors' needs for a stable yield with the demands of potentially financially-viable investments in green infrastructure markets. Providing a detailed analysis of the root cause of this market failure, this innovative book offers powerful solutions for developing countries. An essential read for academics of development economics and international finance, as well as practitioners and policy-makers, this book covers topics such as industrial policy, climate governance, carbon markets and capital markets.

In response to Executive Order S-3-05, an evaluation of the implications to California of possible climate changes was undertaken using a scenario-based approach. The "Scenarios Project" investigated projected impacts of climate change on six sectors in the California region. The investigation considered the early, middle and later portions of the twenty-first century, guided by a set of IPCC Fourth Assessment global climate model runs forced by higher and lower greenhouse gas emission scenarios. Each of these climate simulations produce substantial impacts in California that would require adaptations from present practices or status. The most severe impacts could be avoided, however, if emissions can be held near the lower end of global greenhouse gas emissions scenarios. Reprinted from Climatic Change, Vol. 109: Supplement 1 (2011)

Up-to-date coverage of most micro-econometric topics; first half parametric, second half semi- (non-) parametric Many empirical examples and tips in applying econometric theories to data Essential ideas and steps shown for most estimators and tests; well-suited for both applied and theoretical readers

This book comprises the refereed proceedings of the two International Conference on Green and Smart Technology, GST 2012, and on Sensor and Its Applications, SIA 2012, held in Jeju Island, Korea, in November/December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of green and smart technology with sensor applications.

Developing algorithms for multi-dimensional Fourier transforms, this book presents results that yield highly efficient code on a variety of vector and parallel computers. By emphasising the unified basis for the many approaches to both one-dimensional and multidimensional Fourier transforms, this book not only clarifies the fundamental similarities, but also shows how to exploit the differences in optimising implementations. It will thus be of great interest not only to applied mathematicians and computer scientists, but also to seismologists, high-energy physicists, crystallographers, and electrical engineers working on signal and image processing.

The aim of this work is to present several topics in time-frequency analysis as subjects in abelian group theory. The algebraic point of view pre dominates as questions of convergence are not considered. Our approach emphasizes the unifying role played by group structures on the development of theory and algorithms. This book consists of two main parts. The first treats Weyl-Heisenberg representations over finite abelian groups and the second deals with mul tirate filter structures over free abelian groups of finite rank. In both, the methods are dimensionless and coordinate-free and apply to one and multidimensional problems. The selection of topics is not motivated by mathematical necessity but rather by simplicity. We could have developed Weyl-Heisenberg theory over free abelian groups of finite rank or more generally developed both topics over locally compact abelian groups. However, except for having to dis cuss conditions for convergence, Haar measures, and other standard topics from analysis the underlying structures would essentially be the same. A re cent collection of papers 17] provides an excellent review of time-frequency analysis over locally compact abelian groups. A further reason for limiting the scope of generality is that our results can be immediately applied to the design of algorithms and codes for time frequency processing."

This two volume set LNCS 6587 and LNCS 6588 constitutes the refereed proceedings of the 16th International Conference on Database Systems for Advanced Applications, DASFAA 2011, held in Saarbrucken, Germany, in April 2010. The 53 revised full papers and 12 revised short papers presented together with 2 invited keynote papers, 22 demonstration papers, 4 industrial papers, 8 demo papers, and the abstract of 1 panel discussion, were carefully reviewed and selected from a total of 225 submissions. The topics covered are social network, social network and privacy, data mining, probability and uncertainty, stream processing, graph, XML, XML and graph, similarity, searching and digital preservation, spatial queries, query processing, as well as indexing and high performance.

This graduate-level text provides a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing - in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines. It thus bridges the gap between digital signal processing algorithms and their implementation on a variety of computing platforms. The mathematical concept of tensor product is a recurring theme throughout the book, since these formulations highlight the data flow, which is especially important on supercomputers. Because of their importance in many applications, much of the discussion centres on algorithms related to the finite Fourier transform and to multiplicative FFT algorithms.