The report “Civil society in modernising Russia” is a concluding analytical document of the ‘Civil Society Index in Russia – CIVICUS’ project run by CIVICUS: World Alliance for Citizen Participation. The report was prepared by The Centre for Studies of Civil Society and the Non-for-Profit Sector of the National Research University “Higher School of Economics”, which is a Russian partner of the project. The report covers methodology of the project realisation, provides the analysis of data gathered, specifies strengths and weaknesses of Russian civil society, gives recommendations to civil society organisations, government bodies, business organisations and donor associations, realisation of which would promote strengthening of civil society in Russia. The report is based on surveys, conducted as a part of fundamental research programme of the National Research University “Higher School of Economics”. Cited data in the report is based, unless otherwise is stated, on results of Monitoring of the state of Russian civil society, conducted by NRU HSE in collaboration with a number of leading sociological centres in Russia.
The present volume contains regular papers from CLA 2008, the Sixth International Conference on Concept Lattices and Their Applications. CLA 2008 was held in Olomouc, Czech Republic, from October 21 to October 23, 2008, and was jointly organized by the Palack´y University, Olomouc, and the State University of New York at Binghamton. The areas of interest for CLA include various topics related to formal concept analysis, such as foundational aspects, concept lattices and related structures, data mining, attribute implications and data dependencies, algorithms, visualization, data preprocessing, redundancy and dimensionality reduction, information retrieval, classification, clustering, ontologies, and applications in various domains.
The conference received 29 initial submissions from which 19 were accepted as regular papers (acceptance rate for regular papers is 0.66). Contributions to CLA 2008 were refereed by at least two reviewers (2.88 reviews per paper on average) on the basis of their originality, quality, significance, and presentation. When one of the program chairs was involved in a paper, the reviewing process of this paper was managed independently by the other chair. The program of CLA 2008 consisted of presentations of regular papers and posters, and four invited talks, namely by Bernhard Ganter (TU Dresden, Germany), Petr H´ajek (Academy of Sciences of the Czech Republic), George Karypis (University of Minnesota, USA), and Dominik Slezak (Infobright Inc., Canada).
The 13th International Conference on “Concept Lattices and Applications (CLA 2016)” was held at National Research University Higher School of Economics, Moscow, Russia from July 18 until July 22, 2016. The CLA conference, organized since 2002, aims to provide to everyone interested in Formal Concept Analysis and more generally in Concept Lattices or Galois Lattices, an advanced view on some of the last research trends and applications in this field. It also aims to bring together students, professors, researchers and engineers, involved in all aspects of the study of concept lattices, from theory to implementations and practical applications. As the diversity of the selected papers shows, there is a wide range of research directions, around data and knowledge processing, including data mining, knowledge discovery, knowledge representation, reasoning, pattern recognition, together with logic, algebra and lattice theory. The program of the conference includes four keynote talks given by the following distinguished researchers: Lev D. Beklemishev (Mathematical Institute of Russian Academy of Science, Moscow), J´erˆome Euzenat (INRIA Grenoble Rhˆone-Alpes), Bernhard Ganter (TU-Dresden), Boris G. Mirkin (National Research University Higher School of Economics, Moscow). This volume includes the selected papers and the abstracts of the invited talks. This year, 46 papers were submitted, from which 28 papers were accepted as regular papers. We would like to thank here the contributing authors for their valuable work, the members of the program committee and the external reviewers who analyzed the papers with care. All of them participated to the continuing quality and importance of CLA, highlighting its key role in the field. Then we would also like to thank the steering committee of CLA for giving us the occasion of leading this edition of CLA, the conference participants for their participation and support, and people in charge of the organization, especially Larisa I. Antropova, Ekaterina L. Chernyak, Dmitry I. Ignatov, Olga V. Maksimenkova, whose help was very precious in many occasions and that contributed to the success of the event. We would like to thank our sponsors, namely National Research University Higher School of Economics, ExactPro company, Russian Foundation for Basic Research. Finally, we also do not forget that the conference was managed (quite easily) with the Easychair system, for many tasks including paper submission, selection, and reviewing.
The general aim of this thesis is to explore the gendered and classed nature of social work and social welfare in Russia to show how social policy can be a part of and reinforce marginalisation. The overall research question is in what ways class and gender are constructed in Russian social work practice and welfare rhetoric through Soviet legacies and contemporary challenges? In addition, which actors contribute to the constitution of social work values and how this value system affects the agency of the clients? This study focuses on contradictory ideologies that are shaped in discursive formations of social policy, social work training and practice. It is a qualitative study, containing fi ve papers looking at this issue from three different perspectives: policy and institutions, culture and discourse, actors and identity. The data collection was arranged as a purposive–iterative process. The empirical material consists of qualitative interviews with social work practitioners, administrators and clients, participant observations in social services and analysis of documents of various kinds.
This book is an introduction to a new rapidly developing theory of quantum computing. It begins with the basics of classical theory of computation: Turing machines, Boolean circuits, parallel algorithms, probabilistic computation, NP-complete problems, and the idea of complexity of an algorithm. The second part of the book provides an exposition of quantum computation theory. It starts with the introduction of general quantum formalism (pure states, density matrices, and superoperators), universal gate sets and approximation theorems. Then the authors study various quantum computation algorithms: Grover's algorithm, Shor's factoring algorithm, and the Abelian hidden subgroup problem. In concluding sections, several related topics are discussed (parallel quantum computation, a quantum analog of NP-completeness, and quantum error-correcting codes).
Rapid development of quantum computing started in 1994 with a stunning suggestion by Peter Shor to use quantum computation for factoring large numbers--an extremely difficult and time-consuming problem when using a conventional computer. Shor's result spawned a burst of activity in designing new algorithms and in attempting to actually build quantum computers. Currently, the progress is much more significant in the former: A sound theoretical basis of quantum computing is under development and many algorithms have been suggested.
In this concise text, the authors provide solid foundations to the theory -- in particular, a careful analysis of the quantum circuit model -- and cover selected topics in depth. Included are a complete proof of the Solovay-Kitaev theorem with accurate algorithm complexity bounds, approximation of unitary operators by circuits of doubly logarithmic depth. Among other interesting topics are toric codes and their relation to the anyon approach to quantum computing.
With about two thirds of the UNECE population living in urban areas, this is where the region's social, intellectual and economic life is concentrated. This study provides an overview of the importance of cities for energy reduction, climate protection and climate adaptation. It discusses the actions that cities in the UNECE region need to undertake in order to mitigate their energy intensity and carbon footprint, and to reduce their vulnerability to climate change and post-carbon energy transitions. Climate Neutral Cities presents targeted considerations for relevant urban sectors, such as energy, mobility, buildings, green space, waste and water, with the overall aim of advancing sustainable development and ensuring green growth. This report concludes with introducing a City Roadmap for Climate Neutrality, including milestones for actions in priority sectors and for the set-up of an organizational framework.
As the number of digital texts increases rapidly, there is a pressing need for more advanced and diverse tools of natural language processing. While purely statistical approaches proved powerful and efficient for many NLP tasks, there are many applications that would benefit from the formal models and approaches traditional language science has to offer. With hopes to facilitate this interaction between theory and practical implementation, we are pleased to announce the workshop on Computational Linguistics and Language Science to be held in Moscow, Russia on April 25, 2016 (11 AM to 6 PM).
One of the goals of the first edition of this book back in 2005 was to present a coherent theory for K-Means partitioning and Ward hierarchical clustering. This theory leads to effective data pre-processing options, clustering algorithms and interpretation aids, as well as to firm relations to other areas of data analysis. The goal of this second edition is to consolidate, strengthen and extend this island of understanding in the light of recent developments. Moreover, the material on validation and interpretation of clusters is updated with a system better reflecting the current state of the art and with our recent ``lifting in taxonomies'' approach. The structure of the book has been streamlined by adding two Chapters: ``Similarity Clustering'' and ``Validation and Interpretation'', while removing two chapters: ``Different Clustering Approaches'' and ``General Issues.'' The Chapter on Mathematics of the data recovery approach, in a much extended version, almost doubled in size, now concludes the book. Parts of the removed chapters are integrated within the new structure. The change has added a hundred pages and a couple of dozen examples to the text and, in fact, transformed it into a different species of a book. In the first edition, the book had a Russian doll structure, with a core and a couple of nested shells around. Now it is a linear structure presentation of the data recovery clustering.
The volume is dedicated to Boris Mirkin on the occasion of his 70th birthday. In addition to his startling PhD results in abstract automata theory, Mirkin’s ground breaking contributions in various fields of decision making and data analysis have marked the fourth quarter of the 20th century and beyond. Mirkin has done pioneering work in group choice, clustering, data mining and knowledge discovery aimed at finding and describing non-trivial or hidden structures—first of all, clusters, orderings, and hierarchies—in multivariate and/or network data.
This volume contains a collection of papers reflecting recent developments rooted in Mirkin's fundamental contribution to the state-of-the-art in group choice, ordering, clustering, data mining, and knowledge discovery. Researchers, students, and software engineers will benefit from new knowledge discovery techniques and application directions.
Stalin's consistent and overriding goal after the war was to consolidate the Soviet Union's status as a superpower and, in the face of growing decrepitude, to maintain his own hold as leader of that power. To that end, he fashioned a system of leadership that was at once patrimonial-repressive and quite modern. While maintaining informal relations based on personal loyalty at the apex of the system, in the postwar period Stalin also vested authority in committees, elevated younger specialists, and initiated key institutional innovations with lasting consequences.
This edited collection offers an empirical exploration of social memory in the context of politics, war, identity and culture. With a substantive focus on Eastern Europe, it employs the methodologies of visual studies, content and discourse analysis, in-depth interviews and surveys to substantiate how memory narratives are composed and rewritten in changing ideological and political contexts. The book examines various historical events, including the Russian-Afghan war of 1979-89 and World War II, and considers public and local rituals, monuments and museums, textbook accounts, gender and the body. As such it provides a rich picture of post-socialist memory construction and function based in interdisciplinary memory studies.