889 resultados para NASS Overview
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To make a diagnostic of cancer in a young adult (15-30 years of age) has important physical, psychological and social implications. The most frequent cancers seen at this age are cancer of the thyroid, testicular germ cell tumours, 'melanoma, Hodgkin's lymphoma, non-Hodgkin lymphoma, leukaemia, cerebral tumours and sarcomas. Even if the prognostic of most of these cancers is excellent, treatments are difficult and often associated with long-term side effects. A multidisciplinary approach of these patients is essential. A long-term follow-up by a general practicioner or an oncologist is indispensable.
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View of the Decew Campus from around 1970.
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Architectural drawing showing Moulton Hall, Orange, California. Completed in 1975 and housing the departments of Art, Communications, and Theatre/Dance as well as the Guggenheim Gallery and Waltmar Theatre.
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La possibilité d'utiliser l'information génétique dans le domaine de l'assurance vie a soulevé des discussions autour des politiques et des législations, et ce, au niveau international, régional et national. Dans certains pays offrant des services de santé universels, le débat sur la génétique et l'assurance vie a envisagé de possibles restrictions quant à l'utilisation de l’information génétique en matière d’assurance.
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Affiliation: H. Philippe: Département de Biochimie, Université de Montréal
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Rapport de recherche
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The british women playwrights around 1800 Web project has had a split allegiance from its beginning. Its beginnings lay in our interest in sustaining over time a community that had begun exploring the histories and writing of women in late-eighteenth and early-nineteenth century British theater. [...]
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An Overview of known spatial clustering algorithms The space of interest can be the two-dimensional abstraction of the surface of the earth or a man-made space like the layout of a VLSI design, a volume containing a model of the human brain, or another 3d-space representing the arrangement of chains of protein molecules. The data consists of geometric information and can be either discrete or continuous. The explicit location and extension of spatial objects define implicit relations of spatial neighborhood (such as topological, distance and direction relations) which are used by spatial data mining algorithms. Therefore, spatial data mining algorithms are required for spatial characterization and spatial trend analysis. Spatial data mining or knowledge discovery in spatial databases differs from regular data mining in analogous with the differences between non-spatial data and spatial data. The attributes of a spatial object stored in a database may be affected by the attributes of the spatial neighbors of that object. In addition, spatial location, and implicit information about the location of an object, may be exactly the information that can be extracted through spatial data mining
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Kerala, God’s own country is blessed with immense natural resources. It’s high time that the state’s natural resources being utilized effectively. While sustainable development is the need of the hour, we have to take lead in initiating activities that would minimize the exploitation of our natural resources resulting in their effective utilization. This paper narrates an overview of innovative building materials especially using natural fibres available in Kerala and discusses the feasibility of utilising such fibres in the context of sustainable building materials in Kerala. The paper also discusses how these materials can be effectively utilized to reduce the huge investment in the construction industry
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In the past, natural resources were plentiful and people were scarce. But the situation is rapidly reversing. According to the Living Planet Report 2006, during the last thirty years, consumption of natural resources has increased 40%, while Earth’s natural wealth in biodiversity has decreased 30%. Our challenge is to find a way to balance human consumption and nature’s limited productivity in order to ensure that our communities are sustainable locally, regionally and globally. Ecological Footprint Analysis (EFA) is physical accounting method, developed by William Rees and M. Wackernagel (1992), focusing on land appropriation using land as its “currency”. It provides a means for measuring and communicating human induced environmental impacts upon the planet. In this paper, an attempt is made to explore the tool Ecological Footprint Analysis. The paper also analyses the methods for calculating ecological footprint, scope of the tool as an impact assessment tool for India and measure for reducing the ecological footprint