879 resultados para development need
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Includes bibliography
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Includes bibliography
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This issue of the FAL bulletin reflects on the need to place a new discourse at the centre of the academic, social and political debate, in relation to developing infrastructure services in a sustainable way.
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In this article, I will research this topic from these aspects: the material, architectural forms, building technology and space experience, hoping to figure out the characteristic of traditional Chinese architecture and the use of low technology in it, explore a suitable path of the development of Chinese Vernacular Architecture.
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This brochure deals with policies and policy instruments needed to promote sustainable development in mountain areas. The first part presents an overview of key issues in mountain development, and principles and strategies that should be adopted. Each principle contains a checklist for policy-makers. The second part presents national and regional case studies of successful approaches and initiatives relating to mountain policy from all over the world. The brochure concludes with a call for multi-level initiatives and partnerships. This full-colour publication is part of the Mountains of the World series. It was prepared for the 2002 World Summit on Sustainable Development in Johannesburg by an international panel of experts coordinated by CDE. It was commissioned and funded by the Swiss Agency for Development and Cooperation (SDC).
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Publication date stamped on cover.
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Cover title.
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Mode of access: Internet.
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Mode of access: Internet.
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At head of title: Committee print.
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There is an urgent need to make drug discovery cheaper and faster. This will enable the development of treatments for diseases currently neglected for economic reasons, such as tropical and orphan diseases, and generally increase the supply of new drugs. Here, we report the Robot Scientist 'Eve' designed to make drug discovery more economical. A Robot Scientist is a laboratory automation system that uses artificial intelligence (AI) techniques to discover scientific knowledge through cycles of experimentation. Eve integrates and automates library-screening, hit-confirmation, and lead generation through cycles of quantitative structure activity relationship learning and testing. Using econometric modelling we demonstrate that the use of AI to select compounds economically outperforms standard drug screening. For further efficiency Eve uses a standardized form of assay to compute Boolean functions of compound properties. These assays can be quickly and cheaply engineered using synthetic biology, enabling more targets to be assayed for a given budget. Eve has repositioned several drugs against specific targets in parasites that cause tropical diseases. One validated discovery is that the anti-cancer compound TNP-470 is a potent inhibitor of dihydrofolate reductase from the malaria-causing parasite Plasmodium vivax.