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Non-Standard Employment and Quality of Work
The international literature on non-standard employment has mostly focussed on its impact on employment, and more recently on working and living conditions. This volume explores these issues with special reference to Italy. Italy is characterized by very low participation rates (particularly women’s), a high degree of fragmentation of labour contracts and a very intense non-standard work diffusion that make this context a particularly interesting case for analysis. New elements of discussion are provided with reference to the interaction of non-standard work, employment probability and living conditions. Interesting insights on the impact of non-standard work on the transition to stable employment and workers’ careers emerge, suggesting a possible failure of companies’ internal systems of work evaluation. The effects on labour productivity and on companies’ performance are analysed. Within this framework, a new perspective on quality of work is suggested.
The Welfare State and Life Transitions
The Welfare State and Life Transitions uses the lens of key life stages to highlight changes in these transitions and in available resources for citizen support within nine European welfare states. This timely book reveals that new life courses are found to require more, and not less welfare support, but only Sweden has developed an active life course approach and only three more could be considered supportive, in at least some life stages. For the remainder, policies were at best limited or, in Italy.s case, passive. The contributors reveal that the neglect of changing needs is leading to greater reliance on the family and the labour market, just as these support structures are becoming more unpredictable and moreunequal. They argue that alongside these new class inequalities, new forms of intergenerational inequality are also emerging, particularly in pension provision.
Computational Intelligence Methods for Bioinformatics and Biostatistics
Annotation. This book constitutes the thoroughly refereed post-conference proceedings of the Sixth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2009, held in Genova, Italy, in October 2009. The revised 23 full papers presented were carefully reviewed and selected from 57 submissions. The main goal of the CIBB meetings is to provide a forum open to researchers from different disciplines to present and discuss problems concerning computational techniques in tools for bioinformatics, gene expression analysis and new perspectives in bioinformatics together with 4 special sessions on using game-theoretical tools in bioinformatics, combining Bayesian and machine learning approaches in bioinformatics: state of the art and future perspectives, data clustering and bioinformatics (DCB 2009) and on intelligent systems for medical decisions support (ISMDS 2009).
New Faces of Harbour Cities
New Faces of Harbour Cities explores the changing so-called “faces” of harbour cities. Whilst urban regeneration and harbour cities are discussed as related realms within the wider field of urban competitiveness, few studies have attempted to give place to the broader set of economic, social, legal, environmental and cultural dimensions of urban waterfront regeneration in harbour cities concerning not only Western and Northern Europe, but also Aegean and Mediterranean cities. The book provides a multi-disciplinary, yet holistic analysis of the port-city interface as a major goal of creating new domains of entrepreneurial activity. Offering noteworthy potential, the abandonment of port di...
Social Pacts, Employment and Growth
In this book leading European economists examine the current status of social pacts and their future. Particular focus is placed on the role of trade unions, and the positive role they can play for economic and social stability by agreeing to set wages on the basis of a target rate of inflation. As the European Union expands and social change accelerates, this insightful book will be of interest to all concerned with social and economic developments across Europe.
Algorithms in Bioinformatics
These proceedings contain papers from the 2009 Workshop on Algorithms in Bioinformatics (WABI), held at the University of Pennsylvania in Philadelphia, Pennsylvania during September 12–13, 2009. WABI 2009 was the ninth annual conference in this series, which focuses on novel algorithms that address imp- tantproblemsingenomics,molecularbiology,andevolution.Theconference- phasizes research that describes computationally e?cient algorithms and data structures that have been implemented and tested in simulations and on real data. WABI is sponsored by the European Association for Theoretical C- puter Science (EATCS) and the International Society for Computational Bi- ogy (ISCB). WABI 2009 was s...
IBSS: Economics: 2002 Vol.51
First published in 1952, the International Bibliography of the Social Sciences (anthropology, economics, political science, and sociology) is well established as a major bibliographic reference for students, researchers and librarians in the social sciences worldwide. Key features * Authority: Rigorous standards are applied to make the IBSS the most authoritative selective bibliography ever produced. Articles and books are selected on merit by some of the world's most expert librarians and academics. *Breadth: today the IBSS covers over 2000 journals - more than any other comparable resource. The latest monograph publications are also included. *International Coverage: the IBSS reviews schol...
Bioinformatics, second edition
A guide to machine learning approaches and their application to the analysis of biological data. An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding rapidly. Bioinformatics is the development and application of computer methods for management, analysis, interpretation, and prediction, as well as for the design of experiments. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory, whi...
