8 research outputs found

    Portugal e a NATO : uma perspectiva política-diplomática

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    A NATO, após o Final da Guerra Fria, dota-se de uma forte componente de relações externas, mantendo sempre como “core functions” a Defesa Colectiva e o reforço do Elo Transatlântico. Hoje, o principal desafio é o combate ao Terrorismo Internacional, através designadamente do reforço das capacidades militares. Portugal, tendo sempre presente os seus interesses estratégicos, participa activamente neste esforço colectivo, contribuindo assim para conferir à Aliança um papel preponderante na promoção da estabilidade e da segurança na Área Euro-Atlântic

    Portugal no Conselho de Segurança 1997-1998: as Nações Unidas e a Consolidação dos Processos de Paz

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    O estabelecimento e a prorrogação de mandatos de operações de paz foram funções regulares da nossa delegação e dos outros catorze membros ao longo dos nossos dois anos de permanência no Conselho de Segurança, em 1997 e 1998. Portugal deu uma contribuição assinalável à evolução da doutrina de peacekeeping das Nações Unidas, nomeadamente em benefício da integração e coordenação eficaz das actividades para a consolidação da paz. Durante dois anos, actuando por vezes isoladamente, conseguimos chamar a atenção do Conselho para a importânciade prever e de iniciar, ainda durante o funcionamento de operações de paz, programas políticos, sociais, humanitários e económicos que não devem ser deixados apenas para a fase pós conflito e que são actividades essenciais à consolidação da paz

    The International Year of Planet Earth in Portugal : past activities and further developments

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    The Portuguese National Committee for the IYPE was created in the framework of the Portuguese National Commission for UNESCO, in April 2007. The Committee incorporated the contributions of 220 private and public organizations, mainly municipalities and educational institutions of all levels, and sponsored more than 500 activities since then. The Scientific Programme emphasized relevant cooperation between Earth scientists from the Community of Portuguese Speaking Countries, under the guidance of their National Committees (Angola, Brazil, Cape Verde and Mozambique). In consideration of the community of 230 million Portuguese speaking people, the Portuguese National Committee translated and printed the twelve brochures produced by IUGS- UNESCO, posted them on the official website (www.anoplaneta-terra.org), and supported several editions also in Braille, in order to make Earth sciences readily accessible to all citizens. As a result of these accomplishments during the IYPE triennium (2007-2009), the Portuguese National Committee was invited by the UNESCO-IUGS Corporation to co-organize Planet Earth Lisbon ́09, the Global Closure Event of the IYPE, which took place in Lisbon, 20th to 22nd November 2009

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

    Pervasive gaps in Amazonian ecological research

    Get PDF
    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

    Peptide Sequence-Dominated Enzyme-Responsive Nanoplatform for Anticancer Drug Delivery

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