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After war, many countries, such as Bosnia, Kosovo, Afghanistan, or Iraq, the transition to a democratic market economy extremely difficult. This failure to thrive, Dead Ends of Transition demonstrates, is often the result of national reliance on foreign aid. Rentier states, the contributors to this study argue, have few incentives to respond to the needs of their societies. Taking a closer look at the policies of rentier economies, this book further identifies new ways in which these countries and their international partners could work together to ease the critical transition to democracy.
Success comes in many forms and in synthesis it can be a failure that results in their ultimate successful solutions. This long-awaited sequel to "Dead Ends and Detours" retains the proven concept while featuring over 20 new case studies of failed strategies and their (successful) solutions in natural product total synthesis. Additionally, computational models are used to discuss the problem in much more detail and to provide readers with additional information not found in the primary literature. The topics range from classic synthetic reactions (e.g. Diels Alder reaction), metal-mediated coupling reactions, metathesis, and asymmetric catalysis to the importance of protecting and activating groups. This book will benefit not only graduate students in organic chemistry but also advanced researchers as they gain knowledge derived from the step-by-step analysis of mistakes made in the past and, thus be able to improve their own chemical reaction planning. With its coverage of the most commonly applied reaction types, the book perfectly complements its predecessor, which focuses on general aspects, such as reactivity and selectivity.
A riddle rarely makes sense the first time you hear it. The connection between Dane, a bully, and Billy D, a guy with Down Syndrome, doesn't even make sense the second time you hear it. But it's a collection of riddles that solidify their unlikely friendship. Dane doesn't know who his dad is. Billy doesn't know where his dad is. So when Billy asks for Dane's help solving the riddles his dad left in an atlas, Dane can't help but agree. The unmarked towns lead them closer to secrets of the past. But there's one secret Billy isn't sharing. It's a secret Dane might have liked to know before he stole his mom's car and her lottery winnings and set off on a road trip that will put him face to face with Billy's dad.
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three categories: Algorithms and evaluation: These chapters discuss the fundamental algorithms in recommender systems, including collaborative filtering methods, content-based methods, knowledge-based methods, ensemble-based methods, and evaluation. Recommendations in specific domains and contexts: the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. Advanced topics and applications: Various robustness aspects of recommender systems, such as shilling systems, attack models, and their defenses are discussed. In addition, recent topics, such as learning to rank, multi-armed bandits, group systems, multi-criteria systems, and active learning systems, are introduced together with applications. Although this book primarily serves as a textbook, it will also appeal to industrial practitioners and researchers due to its focus on applications and references. Numerous examples and exercises have been provided, and a solution manual is available for instructors.
This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories:1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.
Argues that South Africa’s apartheid system of racial segregation relied on an unexamined but interrelated system of sexed oppression that was at once both rigid and flexible.
Algorithmic Composition offers new ways of thinking about the organization of sound that we call music
“Julia” nervously emerges from her shabby tent in the suburban wastelands on the outskirts of Madrid to face another day of survival in one of Europe’s most problematic ghettos: she is homeless, wanted by the police, and addicted to heroin and cocaine. She is also five months pregnant and rarely makes contact with support services. Welcome to the city shadows in Valdemingómez: a lawless landscape of drugs and violence where the third world meets the Wild West. Briggs and Monge entered this area with only their patience, some cigarettes and a mobile phone and collected vivid testimonies and images of Julia and others like her who live there. This important book documents what they found, locating these people's stories and situations in a political, economic and social context of spatial inequality and oppressive mechanisms of social control.
Drawing on two decades of ethnographic research in Sulawesi, Indonesia, Tania Murray Li offers an intimate account of the emergence of capitalist relations among indigenous highlanders who privatized their common land to plant a boom crop, cacao. Spurred by the hope of ending their poverty and isolation, some prospered, while others lost their land and struggled to sustain their families. Yet the winners and losers in this transition were not strangers—they were kin and neighbors. Li's richly peopled account takes the reader into the highlanders' world, exploring the dilemmas they faced as sharp inequalities emerged among them. The book challenges complacent, modernization narratives promoted by development agencies that assume inefficient farmers who lose out in the shift to high-value export crops can find jobs elsewhere. Decades of uneven and often jobless growth in Indonesia meant that for newly landless highlanders, land's end was a dead end. The book also has implications for social movement activists, who seldom attend to instances where enclosure is initiated by farmers rather than coerced by the state or agribusiness corporations. Li's attention to the historical, cultural, and ecological dimensions of this conjuncture demonstrates the power of the ethnographic method and its relevance to theory and practice today.
Modern human origins and the fate of the Neanderthals are arguably the most compelling and contentious arenas in paleoanthropology. The much-discussed split between advocates of a single, early emergence of anatomically modern humans in sub-Saharan Africa and supporters of various regional continuity positions is only part of the picture. Equally if not more important are questions surrounding the origins of modern behavior, and the relationships between anatomical and behavioral changes that occurred during the past 200,000 years. Although modern humans as a species may be defined in terms of their skeletal anatomy, it is their behavior, and the social and cognitive structures that support that behavior, which most clearly distinguish Homo sapiens from earlier forms of humans. This book assembles researchers working in Eurasia and Africa to discuss the archaeological record of the Middle Paleolithic and the Middle Stone Age. This is a time period when Homo sapiens last shared the world with other species, and during which patterns of behavior characteristic of modern humans developed and coalesced. Contributions to this volume query and challenge some current notions about the tempo and mode of cultural evolution, and about the processes that underlie the emergence of modern behavior. The papers focus on several fundamental questions. Do typical elements of "modern human behavior" appear suddenly, or are there earlier archaeological precursors of them? Are the archaeological records of the Middle Paleolithic and Middle Stone Age unchanging and monotonous, or are there detectable evolutionary trends within these periods? Coming to diverse conclusions, the papers in this volume open up new avenues to thinking about this crucial interval in human evolutionary history.