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Record Nr. |
UNISA996214646303316 |
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Autore |
Stallwitz Anke |
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Titolo |
The Role of Community-Mindedness in the Self-Regulation of Drug Cultures : A Case Study from the Shetland Islands / / by Anke Stallwitz |
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Pubbl/distr/stampa |
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Dordrecht, : Springer Nature, 2012 |
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Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2012 |
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ISBN |
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1-280-79880-7 |
9786613709196 |
94-007-3861-7 |
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Edizione |
[1st ed. 2012.] |
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Descrizione fisica |
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1 online resource (379 pages) |
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Disciplina |
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Soggetti |
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Sociology |
Criminology |
Community psychology |
Environmental psychology |
Sociology, general |
Criminology and Criminal Justice, general |
Community and Environmental Psychology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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PART I: THEORETICAL AND EMPIRICAL FOUNDATIONS OF THE STUDY -- Chapter 1: Introduction -- Chapter 2. Theoretical Background and Literature Review -- Chapter 3. Methodology -- PART II: THE SHETLAND HEROIN SCENE – LOCATION-SPECIFIC CHARACTERISTICS AND HISTORICAL EVOLUTION -- Chapter 4. Shetland and Substance Use -- Chapter 5. The Features and Descriptive Characteristics of Heroin Scene in Shetland -- Chapter 6. The Internal Structure of the Heroin Scene in Shetland -- Chapter 7. The Shetland Heroin Scene from a Historical Perspective: Five Distinct Eras -- Chapter 8. The Current Heroin Using Trend in Shetland -- Chapter 9. The Community-Minded Spirit of the Shetland Heroin Scene -- Chapter 10. Summary of Part II -- PART III: COMMUNITY-MINDEDNESS AND SELF-REGULATION IN DRUG CULTURES -- Chapter 11: Community-Mindedness and Self- |
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Regulation in Heroin Scenes in the Scientific Literature -- Chapter 12: Explaining Drug Markets and Distributions Systems -- Chapter 13. Historical Transitions of Urban Drug Markets and Scenes -- Chapter 14. The British, Scottish and Shetland Heroin Trends in Numbers -- Chapter 15. Media Reports on Heroin in Shetland -- Chapter 16. Heroin Use in Relation to the Location-Specific Particularities of the Shetland Islands -- Chapter 17. Explaining the Evolution of Drug Eras -- Chapter 18. Future Prognosis of the Shetland Heroin Scene -- PART IV: PROMOTING SELF-REGULATION AND SOCIAL INTEGRATION OF DRUG CULTURES -- Chapter 19. A Model of Self-Regulation and Social Integration of Drug Subcultures -- References.-. |
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Sommario/riassunto |
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This book analyzes heroin users and the drug subculture on the Shetland Islands, an area known for its geographical remoteness, rural character and relative wealth. It fills the scientific gap created by the conventional research in heroin research, which is usually conducted in urban areas and relies on treatment and prison populations. Based on qualitative, in-depth interviews with twenty-four heroin users, this book depicts and analyzes the nature and historical development of the local heroin scene. It illustrates the features and internal structures of the subculture, and it examines the manner in which both are influenced by the location-specific geographical, cultural and socio-economic conditions. It thus reveals complex causal associations that are hard to recognize in urban environments. Complete with a list of references used and recommendations for future research, this book is a vital tool for progressive and pragmatic approaches to policy, intervention and research in the field of illicit drug use. |
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2. |
Record Nr. |
UNINA9910299774803321 |
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Titolo |
Modeling and Stochastic Learning for Forecasting in High Dimensions / / edited by Anestis Antoniadis, Jean-Michel Poggi, Xavier Brossat |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (344 p.) |
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Collana |
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Lecture Notes in Statistics - Proceedings ; ; 217 |
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Disciplina |
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Soggetti |
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Statistics |
Mathematical models |
Computer science - Mathematics |
Mathematical statistics |
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Mathematical Modeling and Industrial Mathematics |
Probability and Statistics in Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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1 Short Term Load Forecasting in the Industry for Establishing Consumption Baselines: A French Case -- 2 Confidence intervals and tests for high-dimensional models: a compact review -- 3 Modelling and forecasting daily electricity load via curve linear regression -- 4 Constructing Graphical Models via the Focused Information Criterion -- 5 Nonparametric short term Forecasting electricity consumption with IBR -- 6 Forecasting the electricity consumption by aggregating experts -- 7 Flexible and dynamic modeling of dependencies via copulas -- 8 Operational and online residential baseline estimation -- 9 Forecasting intra day load curves using sparse functional regression -- 10 Modelling and Prediction of Time Series Arising on a Graph -- 11 GAM model based large scale electrical load simulation for smart grids -- 12 Spot volatility estimation for high-frequency data: adaptive estimation in practice -- 13 Time series prediction via aggregation: an oracle bound including numerical cost -- 14 Space-time trajectories of wind |
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power generation: Parametrized precision matrices under a Gaussian copula approach -- 15 Game-theoretically Optimal Reconciliation of Contemporaneous Hierarchical Time Series Forecasts -- 16 The BAGIDIS distance: about a fractal topology, with applications to functional classification and prediction. |
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Sommario/riassunto |
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The chapters in this volume stress the need for advances in theoretical understanding to go hand-in-hand with the widespread practical application of forecasting in industry. Forecasting and time series prediction have enjoyed considerable attention over the last few decades, fostered by impressive advances in observational capabilities and measurement procedures. On June 5-7, 2013, an international Workshop on Industry Practices for FORecasting was held in Paris, France, organized and supported by the OSIRIS Department of Electricité de France Research and Development Division. In keeping with tradition, both theoretical statistical results and practical contributions on this active field of statistical research and on forecasting issues in a rapidly evolving industrial environment are presented. The volume reflects the broad spectrum of the conference, including 16 articles contributed by specialists in various areas. The material compiled is broad in scope and ranges from new findings on forecasting in industry and in time series, on nonparametric and functional methods, and on on-line machine learning for forecasting, to the latest developments in tools for high dimension and complex data analysis. |
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