989 resultados para Vidal, Françoise Fénelon.
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2005
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2005
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2005
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2009
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2006
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Através deste trabalho, avaliou-se a atividade inseticida de extratos aquosos e alcoólicos de várias partes de plantas de 13 espécies vegetais, exóticas e nativas da Amazônia brasileira, em adultos de Cerotoma tingomarianus.
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Como evitar Como tratar.
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2013
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A diversidade da flora brasileira, em especial a da Região Amazônica, apresenta um imenso potencial para a produção de compostos secundários de plantas, que têm sido demandados continuamente pela indústria nas últimas décadas, devido ao incremento da utilização de produtos naturais na agropecuária. Estima-se que existam 500 mil espécies de plantas no mundo, sendo .16% delas encontradas na florésta amazônica. No entanto, a pesquisa de substâncias ativas derivadas de plantas no Brasil ainda é muito incipiente. Mesmo considerando os incrementos significativos da pesquisa nas últimas duas décadas, há, evidentemente, uma grande lacuna de conhecimento da nossa flora a ser preenchida. A partir da década de 90 a Embrapa Acre vem intensificando atividades de pesquisa no sentido de viabilizar a utilização de recursos não-madeireiros das florestas do Acre. Destacam-se dentre eles, produtos promissores oriundos de piperáceas, como o óleo essencial rico em safrol, produzido a partir da biomassa da Piper hispidinervum e, mais recentemente, o óleo essencial de P. aduncum com altos teores de dilapiol. P. aduncum é uma espécie de planta que vem apresentando um crescente interesse, principalmente quanto à extração em escala industrial do seu óleo essencial. A elaboração deste documento tem como finalidade contribuir para o conhecimento da potencialidade do emprego dessa planta na elaboração de produtos para o controle de pragas de interesse agropecuário e utilização na medicina humana.
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2014
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Ecological concern prompts poor and indigenous people of India to consider how a society can ensure both protection of nature and their rightful claim for a just and sustainable future. Previous discussions defended the environment while ignoring the struggles of the poor for sustenance and their religious traditions and ethical values. Mohandas Karamchand Gandhi addressed similar socio-ecological concerns by adopting and adapting traditional religious and ethical notions to develop strategies for constructive, engaged resistance. The dissertation research and analysis verifies the continued relevance of the Gandhian understanding of dharma (ethics) in contemporary India as a basis for developing eco-dharma (eco-ethics) to link closely development, ecology, and religious values. The method of this study is interpretive, analytical, and critical. Françoise Houtart’s social analytical method is used to make visible and to suggest how to overcome social tensions from the perspective of marginalized and exploited peoples in India. The Indian government's development initiatives create a nexus between the eco-crisis and economic injustice, and communities’ responses. The Chipko movement seeks to protect the Himalayan forests from commercial logging. The Narmada Bachao Andolan strives to preserve the Narmada River and its forests and communities, where dam construction causes displacement. The use of Gandhian approaches by these movements provides a framework for integrating ecological concerns with people's struggles for survival. For Gandhi, dharma is a harmony of satya (truth), ahimsa (nonviolence), and sarvodaya (welfare of all). Eco-dharma is an integral, communitarian, and ecologically sensitive ethical paradigm. The study demonstrates that the Gandhian notion of dharma, implemented through nonviolent satyagraha (firmness in promoting truth), can direct community action that promotes responsible economic structures and the well-being of the biotic community and the environment. Eco-dharma calls for solidarity, constructive resistance, and ecologically and economically viable communities. The dissertation recommends that for a sustainable future, India must combine indigenous, appropriate, and small- or medium-scale industries as an alternative model of development in order to help reduce systemic poverty while enhancing ecological well-being.
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An active, attentionally-modulated recognition architecture is proposed for object recognition and scene analysis. The proposed architecture forms part of navigation and trajectory planning modules for mobile robots. Key characteristics of the system include movement planning and execution based on environmental factors and internal goal definitions. Real-time implementation of the system is based on space-variant representation of the visual field, as well as an optimal visual processing scheme utilizing separate and parallel channels for the extraction of boundaries and stimulus qualities. A spatial and temporal grouping module (VWM) allows for scene scanning, multi-object segmentation, and featural/object priming. VWM is used to modulate a tn~ectory formation module capable of redirecting the focus of spatial attention. Finally, an object recognition module based on adaptive resonance theory is interfaced through VWM to the visual processing module. The system is capable of using information from different modalities to disambiguate sensory input.
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The system presented here is based on neurophysiological and electrophysiological data. It computes three types of increasingly integrated temporal and probability contexts, in a bottom-up mode. To each of these contexts corresponds an increasingly specific top-down priming effect on lower processing stages, mostly pattern recognition and discrimination. Contextual learning of time intervals, events' temporal order or sequential dependencies and events' prior probability results from the delivery of large stimuli sequences. This learning gives rise to emergent properties which closely match the experimental data.
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This paper shows how a minimal neural network model of the cerebellum may be embedded within a sensory-neuro-muscular control system that mimics known anatomy and physiology. With this embedding, cerebellar learning promotes load compensation while also allowing both coactivation and reciprocal inhibition of sets of antagonist muscles. In particular, we show how synaptic long term depression guided by feedback from muscle stretch receptors can lead to trans-cerebellar gain changes that are load-compensating. It is argued that the same processes help to adaptively discover multi-joint synergies. Simulations of rapid single joint rotations under load illustrates design feasibility and stability.
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A fast and efficient segmentation algorithm based on the Boundary Contour System/Feature Contour System (BCS/FCS) of Grossberg and Mingolla [3] is presented. This implementation is based on the FFT algorithm and the parallelism of the system.