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The 2014 Referendum on Scottish independence sparked debate on every dimension of modern statehood. Levels of public interest and engagement were unprecedented, as demonstrated by record-breaking voter turnout. Yet aside from Trident, the issue of security was relatively neglected in the campaigns, and there remains a lack of literature on the topic. In this volume Andrew Neal has collated a variety of interdisciplinary perspectives on security and constitutional change in Scotland and the UK, including writing from experts in foreign policy analysis, intelligence studies, parliamentary studies, and journalism. Security in a Small Nationprovides an illuminating analysis of the politics of security. Its authors reflect on a number of related issues including international comparisons, alliances, regional cooperation, terrorism, intelligence sharing, democratic oversight, and media coverage. It has a particular focus on what security means for small states and democratic politics. The book draws on current debates about the extent of intelligence powers and their implications for accountability, privacy, and human rights. It examines the foreign and security policy of other small states through the prism of Scottish independence, providing unique insight into the bureaucratic and political processes associated with multi-level security governance. These contributions provide a detailed picture of the changing landscape of security, including the role of diverse and decentralised agencies, and new security interdependencies within and between states. The analysis presented in this book will inform ongoing constitutional debates in the UK and the study of other secessionist movements around the world. Security in a Small Nation is essential reading for any follower of UK and Scottish politics, and those with an interest in security and nationhood on a global scale. The University of Edinburgh has generously contributed towards the publication of this volume.

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This advanced textbook and reference is the first comprehensive and systematic review of all methods used for the measurement, correction, and control of the beam dynamics of modern particle accelerators. Based on material presented in several lectures at the US Particle Accelerator School, the text is intended for graduate students starting research or work in the field of beam physics. Relativistic beams in linear accelerators and storage rings provide the focus. After a review of linear optics, the text addresses basic and advanced techniques for beam control, plus a variety of methods for the manipulation of particle-beam properties. In each case, specific procedures are illustrated by examples from operational accelerators, e.g., CERN, DESY, SLAC, KEK, LBNL, and FNAL. The book also treats special topics such as injection and extraction methods, beam cooling, spin transport, and polarization. Problems and solutions enhance the book’s usefulness in graduate courses.

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This Special Issue showcases poets who enhance the breadth of modernist literary practices. The cohering concept is a complex relationship to both gender and modernity through original experiments with language. Leading scholars explore writers who both fit and extend orthodox modernist histories: Marianne Moore, H.D., Edna St Vincent Millay, Dorothy Parker, Katherine Mansfield, and Charlotte Mew were born around the cusp of the twentieth century and flourished during the 1920s and 1930s; Lynette Roberts, Helen Adam and Hope Mirrlees were contemporaries but publishing or recognition came later; the next generation can include Gwendolyn Brooks, Stevie Smith and Muriel Spark; Veronica Forrest-Thomson represents a third generation who published into the 1980s, while Frances Presley and M. NourbeSe Philip hinge this group with the contemporary poets Carol Watts and Natasha Trethewey, whose works continue and rejuvenate progressive stylistics. The essays offer new readings of both well-known and unfamiliar poets. They are truly groundbreaking in plundering diverse theoretical fields in ways that disturb any lingering notions of a homogenized women’s poetry. The authors supplant into literary poetic analysis notions of geometry and mathematics, maritime materialities, tourism and taxonomy, architecture, classicism, folk art, Christianity and death, whimsy and empathy.

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This open access book constitutes the proceedings of the 23rd International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2020. The 31 regular papers presented in this volume were carefully reviewed and selected from 98 submissions. The papers cover topics such as categorical models and logics; language theory, automata, and games; modal, spatial, and temporal logics; type theory and proof theory; concurrency theory and process calculi; rewriting theory; semantics of programming languages; program analysis, correctness, transformation, and verification; logics of programming; software specification and refinement; models of concurrent, reactive, stochastic, distributed, hybrid, and mobile systems; emerging models of computation; logical aspects of computational complexity; models of software security; and logical foundations of data bases.​

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The information fusion technique can integrate a large amount of data and knowledge representing the same real-world object and obtain a consistent, accurate and useful representation of that object. The data may be independent or redundant, and can be obtained by different sensors at the same time or at different times. A suitable combination of investigative methods can substantially increase the profit of information in comparison with that from a single sensor.Multi-sensor information fusion has been a key issue in sensor research since the 1970s and it has been applied in many fields, such as geospatial information systems, business intelligence, oceanography, discovery science, intelligent transport systems, wireless sensor networks, etc. Recently, thanks to the vast development in sensor and computer memory technologies, more and more sensors are being used in practical systems and a large amount of measurement data are recorded and restored, which may actually be the "time series big data". For example, sensors in machines and process control industries can generate a lot of data, which have real, actionable business value. The fusion of these data can greatly improve productivity through digitization.The goal of this Special Issue is to report on innovative ideas and solutions for the methods of multi-sensor information fusion in the emerging applications era, focusing on development, adoption and applications.

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