10,781 research outputs found

    New England Regional Health Equity Profile & Call to Action

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    Good health is a foundation that allows people to participate in the most important aspects of life. The purpose of the New England Regional Health Equity Profile and Call to Action is to identify where differences in good health exist among racial, ethnic, and disability populations in New England as well as foster policy, programmatic, and individual action to combat health disparities and achieve health equity for racial, ethnic, disability and underserved populations in New England. The report was written by the members of the New England Regional Health Equity Council (RHEC), one of ten regional health equity councils formed by the Office of Minority Health at the federal Department of Health and Human Services. The mission of the New England RHEC is to achieve health equity for all through collective action in the New England region. The New England RHEC’s vision is to achieve health equity through cross-sector interaction and collaboration of activities and resources to optimize health for all where they live, learn, work, and play. The New England Regional Health Equity Profile and Call to Action uses a “social determinants of health” approach. A social determinants of health approach focuses on understanding how the intersection of the social and physical environments; individual behaviors; and access to education, income, healthy foods and health care, impacts a wide range of health and quality-of-life outcomes. The report examines the following topics: Socio-Economic Status, Healthy Eating and Physical Activity, Risky Behaviors, Cultural Competency in Health Care, Health Care Access, Health Outcomes, and the Intersection of Race/Ethnicity & Disability. It also includes a description of State Health Equity Activities and a Regional Call to Action

    Is philosophy of education a historical mistake? Connecting philosophy and education differently

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    In this article, I suggest that the question whether the proper place for philosophy of education is in the domain of philosophy or the domain of education cannot be resolved as long as we think of the connection between philosophy and education in terms of the idea of 'philosophy of education'. To substantiate this point, I look into the history of the idea of 'philosophy of education', both as a general idea and with regard to the way in which it became institutionalised in universities in the English-speaking world. I contrast this with the way in which the academic study of education developed in German-speaking countries in order to highlight that 'philosophy of education' is not the only way in which philosophy and education can be connected. Being aware that the connection between philosophy and education can be made differently not only provides a way out of the discussion about the proper identity and location of philosophy of education, but also hints at forms of philosophically informed scholarship that are more firmly based with the academic field of education rather than that they remain a halfway house in between philosophy and education

    Effects of lunch club attendance on the dietary intake of older adults in the UK: A pilot cross-sectional study.

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    BACKGROUND: Lunch clubs are community-based projects where meals are offered with opportunities for social interaction, and a unique dining experience of dual commercial and communal nature. AIM: The aim of the present cross-sectional study was to assess differences in the dietary intake between lunch club and non-lunch club days among community-dwelling elderly, living in Dorset, UK. METHODS: A total of 39 elderly individuals attending local lunch clubs were recruited. Socioeconomic factors were recorded, anthropometric measurements were taken and the dietary intake was assessed in lunch club and non-lunch club days via 24 hour dietary recalls. RESULTS: For the majority of participants, having a hot meal (74.4%), meeting with friends (92.3%), dining outside home (76.9%), having a home-styled cooked meal (71.8%) and skipping cooking (43.6%) were considered as important factors for lunch club dining. Absolute energy intake, protein, fat, carbohydrate, saturated fatty acids, fibre, potassium, calcium, iron, vitamins A, C and folate and water from drinks were significantly greater on lunch club days. When intake was expressed as a percentage of the dietary reference values, all examined nutrients were consumed in greater adequacy during lunch club days, except potassium and vitamin D. CONCLUSIONS: Lunch clubs appear to be an effective means for ameliorating nutrient intake among older adults, while in parallel, offer the opportunity for socializing and sharing a hot meal with peers

    Pygmies, Giants, and Skins

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    Understanding the equation of state (EOS) of neutron-rich matter is a central goal of nuclear physics that cuts across a variety of disciplines. Indeed, the limits of nuclear existence, the collision of energetic heavy ions, the structure of neutron stars, and the dynamics of core-collapse supernova all depend critically on the nuclear-matter EOS. In this contribution I focus on the EOS of cold baryonic matter with special emphasis on its impact on the structure, dynamics, and composition of neutron stars. In particular, I discuss how laboratory experiments on neutron skins as well as on Pygmy and Giant resonances can help us elucidate the structure of these fascinating objects.Comment: Invited Talk given at the 11th International Conference on Nucleus-Nucleus Collisions (NN2012), San Antonio, Texas, USA, May 27-June 1, 2012. To appear in the NN2012 Proceedings in Journal of Physics: Conference Series (JPCS

    Traps of multi-level governance. Lessons from the implementation of the Water Framework Directive in Italy

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    During recent decades, different patterns of multi-level governance (MLG) have spread across Europe as a consequence of Europeanisation of public policies, which have increasingly adopted decentralized and participatory procedures conceived as a tool of more effective and accountable policy-making. It appears, however, that the implementation of operational designs based on MLG may be rather problematic and it does not necessarily bring to the expected performance improvements. Referring to the case of the EU Water Framework Directive (2000/60/EC), which conceives the creation of new multi-level institutional settings as a key tool for enacting a new holistic approach to water management and protection, this article explores the difficulties that the implementation of such settings has brought in Italy, despite some favorable pre-conditions existing in the country. Evidence is provided that along with institutional and agency variables, the implementation effectiveness of MLG arrangements promoted by the EU can be challenged by their inherent characteristics

    Structural Material Property Tailoring Using Deep Neural Networks

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    Advances in robotics, artificial intelligence, and machine learning are ushering in a new age of automation, as machines match or outperform human performance. Machine intelligence can enable businesses to improve performance by reducing errors, improving sensitivity, quality and speed, and in some cases achieving outcomes that go beyond current resource capabilities. Relevant applications include new product architecture design, rapid material characterization, and life-cycle management tied with a digital strategy that will enable efficient development of products from cradle to grave. In addition, there are also challenges to overcome that must be addressed through a major, sustained research effort that is based solidly on both inferential and computational principles applied to design tailoring of functionally optimized structures. Current applications of structural materials in the aerospace industry demand the highest quality control of material microstructure, especially for advanced rotational turbomachinery in aircraft engines in order to have the best tailored material property. In this paper, deep convolutional neural networks were developed to accurately predict processing-structure-property relations from materials microstructures images, surpassing current best practices and modeling efforts. The models automatically learn critical features, without the need for manual specification and/or subjective and expensive image analysis. Further, in combination with generative deep learning models, a framework is proposed to enable rapid material design space exploration and property identification and optimization. The implementation must take account of real-time decision cycles and the trade-offs between speed and accuracy

    The changing nature of labour regulation: the distinctiveness of the National Agreement for the Engineering Construction Industry

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    The article addresses the changing nature of labour regulation through analysis of the National Agreement for the Engineering Construction Industry, originating in 1981. It shows how multiple spatial regulatory scales, the changing coalitions of actors involved, employer and client engagement and labour agency have been critical to National Agreement for the Engineering Construction Industry's survival
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