830 resultados para Computing Classification Systems
Resumo:
The study analyses European social policy as a political project that proceeds under the guidance of the European Commission. In the name of modernisation, the project aims to build a new idea for the welfare state. To understand the project, it is necessary to distance oneself from both the juridical competence of the European Union and the traditional national welfare state models. The question is about sharing problems, as well as solutions to them: it is the creation and sharing of common views, concepts and images that play a key role in European integration. Drawing on texts and speeches produced by the European Commission, the study throws light on the development of European social policy during the first years of the 2000s. The study "freeze-frames" the welfare debate having its starting points in the nation states in the name of the entity of Europe. The first article approaches the European social model as a story in itself, a preparatory, persuasive narrative that concerns the management of change. The article shows how the audience can be motivated to work towards a set target by using discursive elements in a persuasive manner: the function of a persuasive story is to convince the target audience of the appropriateness of the chosen direction and to shape their identity so that they are favourably disposed to the desired political targets. This is a kind of "intermediate state" where the story, despite its inner contradictions and inaccuracies, succeeds in appearing as an almost self-evident path towards a modern social policy that Europe is currently seen to be in need of. The second article outlines the European social model as a question of governance. Health as a sector of social policy is detached from the old political order, which was based on the welfare state, and is closely linked to economy. At the same time the population is primarily seen as an economic resource. The Commission is working towards a "Europe of Health" that grapples with the problem of governance with the help of the "healthisation" of society, healthy citizenship and health economics. The way the Commission speaks is guided by the Union's powerful interest to act as "Europe" in the field of welfare policy. At the same time, the traditional separateness of health policy is effaced in order to be able to make health policy reforms a part of the Union's wider modernisation targets. The third article then shows the European social policy as its own area of governance. The article uses an approach based on critical discourse analysis in examining the classification systems and presentation styles adopted by Commission communications, as well as the identities that they help build. In analysing the "new start" of the Lisbon strategy from the perspective of social policy, the article shows how the emphasis has shifted from the persuasive arguments for change with necessary common European targets in the early stages of the strategy towards the implementation of reforms: from a narrative to a vision and from a diagnosis to healing. The phase of global competition represents "the modern" with which European society with its culture and ways of life now has to be matched. The Lisbon strategy is a way to direct this societal change, thus building a modern European social policy. The fourth article describes how the Commission uses its communications policy to build practices and techniques of governance and how it persuades citizens to participate in the creation of a European project of change. This also requires a new kind of agency: agents for whom accountability and responsibilities mean integration into and commitment to European society. Accountability is shaped into a decisive factor in implementing the European Union's strategy of change. As such it will displace hierarchical confrontations and emphasise common action with a view to modernising Europe. However, the Union's discourse cannot be described as being a political language that would genuinely rouse and convince the audience at the level of everyday life. Keywords: European social policy, EU policy, European social model, European Commission, modernisation of welfare, welfare state, communications, discoursiveness.
Resumo:
In large flexible software systems, bloat occurs in many forms, causing excess resource utilization and resource bottlenecks. This results in lost throughput and wasted joules. However, mitigating bloat is not easy; efforts are best applied where savings would be substantial. To aid this we develop an analytical model establishing the relation between bottleneck in resources, bloat, performance and power. Analyses with the model places into perspective results from the first experimental study of the power-performance implications of bloat. In the experiments we find that while bloat reduction can provide as much as 40% energy savings, the degree of impact depends on hardware and software characteristics. We confirm predictions from our model with selected results from our experimental study. Our findings show that a software-only view is inadequate when assessing the effects of bloat. The impact of bloat on physical resource usage and power should be understood for a full systems perspective to properly deploy bloat reduction solutions and reap their power-performance benefits.
Resumo:
Esta dissertação investiga a aplicação dos algoritmos evolucionários inspirados na computação quântica na síntese de circuitos sequenciais. Os sistemas digitais sequenciais representam uma classe de circuitos que é capaz de executar operações em uma determinada sequência. Nos circuitos sequenciais, os valores dos sinais de saída dependem não só dos valores dos sinais de entrada como também do estado atual do sistema. Os requisitos cada vez mais exigentes quanto à funcionalidade e ao desempenho dos sistemas digitais exigem projetos cada vez mais eficientes. O projeto destes circuitos, quando executado de forma manual, se tornou demorado e, com isso, a importância das ferramentas para a síntese automática de circuitos cresceu rapidamente. Estas ferramentas conhecidas como ECAD (Electronic Computer-Aided Design) são programas de computador normalmente baseados em heurísticas. Recentemente, os algoritmos evolucionários também começaram a ser utilizados como base para as ferramentas ECAD. Estas aplicações são referenciadas na literatura como eletrônica evolucionária. Os algoritmos mais comumente utilizados na eletrônica evolucionária são os algoritmos genéticos e a programação genética. Este trabalho apresenta um estudo da aplicação dos algoritmos evolucionários inspirados na computação quântica como uma ferramenta para a síntese automática de circuitos sequenciais. Esta classe de algoritmos utiliza os princípios da computação quântica para melhorar o desempenho dos algoritmos evolucionários. Tradicionalmente, o projeto dos circuitos sequenciais é dividido em cinco etapas principais: (i) Especificação da máquina de estados; (ii) Redução de estados; (iii) Atribuição de estados; (iv) Síntese da lógica de controle e (v) Implementação da máquina de estados. O Algoritmo Evolucionário Inspirado na Computação Quântica (AEICQ) proposto neste trabalho é utilizado na etapa de atribuição de estados. A escolha de uma atribuição de estados ótima é tratada na literatura como um problema ainda sem solução. A atribuição de estados escolhida para uma determinada máquina de estados tem um impacto direto na complexidade da sua lógica de controle. Os resultados mostram que as atribuições de estados obtidas pelo AEICQ de fato conduzem à implementação de circuitos de menor complexidade quando comparados com os circuitos gerados a partir de atribuições obtidas por outros métodos. O AEICQ e utilizado também na etapa de síntese da lógica de controle das máquinas de estados. Os circuitos evoluídos pelo AEICQ são otimizados segundo a área ocupada e o atraso de propagação. Estes circuitos são compatíveis com os circuitos obtidos por outros métodos e em alguns casos até mesmo superior em termos de área e de desempenho, sugerindo que existe um potencial de aplicação desta classe de algoritmos no projeto de circuitos eletrônicos.
Resumo:
Integrating geology, core, well-logging, experimental data, and production data, with the guide of sequence stratigraphy, sedimentology, reservoir exploitation geology and other disciplines’ theories, combinating the sequence stratigraphy and Maill’s reservoir architectures concepts and theories, the research and analysis methods of non-marine fan-delta reservoir architectures are systemly set out. And the correspondence of reservoir structures, sedimentology and reservoir geology is established. An integral and systematical research approach and theory and conception of reservoir architecture is developed, which enriched the reservoir research theory. Considering the requirement to the reservoir research in different development phase, the six classification systems of reservoir architectures are brought up. According to different reservoir’s connection and location of Ek different levels of reservoir architecture, 3 types, 20 kind architectures styles are summarized. The research about undisturbed reservoir characterization is launched, through analyzing reservoir characterization to pour water to the different reservoirs of Kongnan region, the changing regular pattern of reservoir quality during pouring water process is summarized. Combined with the actual zone data, inner-well reservoir geometry relationship of injection-production model is designed, and the models of development process are dynamic simulated. In view of seven laboratory samples of 3 types, six order architecture unit of braided stream, fan-delta and nearshore subsea apron in Kongnan region, the remaining oil distribution model is determined. Using the geo-statistics methods dissect the key regions, the tectono-stratigraphical model and the reservoir parameters model are established. The distribution of the characteristics of the underground reservoir is quantitatively described. Based on the reservoir research, carrying out the development of different characteristics of reservoir, the development pattern and countermeasures are determined. The relationships between reservoir structure levels and reservoir development stages are summed up, the relationships between architecture unit of different levels and exploration develop stages are determined.
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Q. Shen. Rough feature selection for intelligent classifiers. LNCS Transactions on Rough Sets, 7:244-255, 2007.
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Functional and non-functional concerns require different programming effort, different techniques and different methodologies when attempting to program efficient parallel/distributed applications. In this work we present a "programmer oriented" methodology based on formal tools that permits reasoning about parallel/distributed program development and refinement. The proposed methodology is semi-formal in that it does not require the exploitation of highly formal tools and techniques, while providing a palatable and effective support to programmers developing parallel/distributed applications, in particular when handling non-functional concerns.
Resumo:
An alternative models framework was used to test three confirmatory factor analytic models for the Short Leyton Obsessional Inventory-Children's Version (Short LOI-CV) in a general population sample of 517 young adolescent twins (11-16 years). A one-factor model as implicit in current classification systems of Obsessive-Compulsive Disorder (OCD), a two-factor obsessions and compulsions model, and a multidimensional model corresponding to the three proposed subscales of the Short LOI-CV (labelled Obsessions/Incompleteness, Numbers/Luck and Cleanliness) were considered. The three-factor model was the only model to provide an adequate explanation of the data. Twin analyses suggested significant quantitative sex differences in heritability for both the Obsessions/Incompleteness and Numbers/Luck dimensions with these being significantly heritable in males only (heritability of 60% and 65% respectively). The correlation between the additive genetic effects for these two dimensions in males was 0.95 suggesting they largely share the same genetic risk factors.
Resumo:
Today, the classification systems for myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) already incorporate cytogenetic and molecular genetic aberrations in an attempt to better reflect disease biology. However, in many MDS/AML patients no genetic aberrations have been identified yet, and even within some cytogenetically well-defined subclasses there is considerable clinical heterogeneity. Recent advances in genomics technologies such as gene expression profiling (GEP) provide powerful tools to further characterize myeloid malignancies at the molecular level, with the goal to refine the MDS/AML classification system, incorporating as yet unknown molecular genetic and epigenetic pathomechanisms, which are likely reflected by aberrant gene expression patterns. In this study, we provide a comprehensive review on how GEP has contributed to a refined molecular taxonomy of MDS and AML with regard to diagnosis, prediction of clinical outcome, discovery of novel subclasses and identification of novel therapeutic targets and novel drugs. As many challenges remain ahead, we discuss the pitfalls of this technology and its potential including future integrative studies with other genomics technologies, which will continue to improve our understanding of malignant transformation in myeloid malignancies and thereby contribute to individualized risk-adapted treatment strategies for MDS and AML patients. Leukemia (2011) 25, 909-920; doi:10.1038/leu.2011.48; published online 29 March 2011
Resumo:
Increasingly infrastructure providers are supplying the cloud marketplace with storage and on-demand compute resources to host cloud applications. From an application user's point of view, it is desirable to identify the most appropriate set of available resources on which to execute an application. Resource choice can be complex and may involve comparing available hardware specifications, operating systems, value-added services, such as network configuration or data replication, and operating costs, such as hosting cost and data throughput. Providers' cost models often change and new commodity cost models, such as spot pricing, have been introduced to offer significant savings. In this paper, a software abstraction layer is used to discover infrastructure resources for a particular application, across multiple providers, by using a two-phase constraints-based approach. In the first phase, a set of possible infrastructure resources are identified for a given application. In the second phase, a heuristic is used to select the most appropriate resources from the initial set. For some applications a cost-based heuristic is most appropriate; for others a performance-based heuristic may be used. A financial services application and a high performance computing application are used to illustrate the execution of the proposed resource discovery mechanism. The experimental result shows the proposed model could dynamically select an appropriate set of resouces that match the application's requirements.
Resumo:
Background: The authors consider whether differences in stage at diagnosis could explain the variation in lung cancer survival between six developed countries in 2004-2007. Methods: Routinely collected population-based data were obtained on all adults (15-99 years) diagnosed with lung cancer in 2004-2007 and registered in regional and national cancer registries in Australia, Canada, Denmark, Norway, Sweden and the UK. Stage data for 57 352 patients were consolidated from various classification systems. Flexible parametric hazard models on the log cumulative scale were used to estimate net survival at 1 year and the excess hazard up to 18 months after diagnosis. Results: Age-standardised 1-year net survival from non-small cell lung cancer ranged from 30% (UK) to 46% (Sweden). Patients in the UK and Denmark had lower survival than elsewhere, partly because of a more adverse stage distribution. However, there were also wide international differences in stage-specific survival. Net survival from TNM stage I non-small cell lung cancer was 16% lower in the UK than in Sweden, and for TNM stage IV disease survival was 10% lower. Similar patterns were found for small cell lung cancer. Conclusions: There are comparability issues when using population-based data but, even given these constraints, this study shows that, while differences in stage at diagnosis explain some of the international variation in overall lung cancer survival, wide disparities in stage-specific survival exist, suggesting that other factors are also important such as differences in treatment. Stage should be included in international cancer survival studies and the comparability of population-based data should be improved.