916 resultados para NATURE, HEALING POWER OF


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Recently, resilience has become a catchall solution for some of the world’s most pressing ecological, economic and social problems. This dissertation analyzes the cultural politics of resilience in Kingston, Jamaica by examining them through their purported universal principles of adaptation and flexibility. On the one hand, mainstream development regimes conceptualize resilience as a necessary and positive attribute of economies, societies and cultures if we are to survive any number of disasters or disturbances. Therefore, in Jamaican cultural and development policy resilience is championed as both a means and an end of development. On the other hand, critics of resilience see the new rollout of resilience projects as deepening neoliberalism, capitalism and new forms of governmentality because resilience projects provide the terrain for new forms of securitization and surveillance practices. These scholars argue that resilience often forecloses the possibilities to resist that which threatens us. However, rather than dismissing resilience as solely a sign of domination and governmentality, this dissertation argues that resilience must be understood as much more ambiguous and complex, rather than within binaries such as subversion vs. neoliberal and resistance vs. resilience. Overly simplistic dualities of this nature have been the dominant approach in the scholarship thus far. This dissertation provides a close analysis of resilience in both multilateral and Jamaican government policy documents, while exploring the historical and contemporary production of resilience in the lives of marginalized populations. Through three sites within Kingston, Jamaica—namely dancehall and street dances, WMW-Jamaica and the activist platform SO((U))L HQ—this dissertation demonstrates that “resilience” is best understood as an ambiguous site of power negotiations, social reproduction and survival in Jamaica today. It is often precisely this ambiguous power of ordinary resilience that is capitalized on and exploited to the detriment of vulnerable groups. At once demonstrating creative negotiation and reproduction of colonial capitalist social relations within the realms of NGO, activist work and cultural production, this dissertation demonstrates the complexity of resilience. Ultimately, this dissertation draws attention to the importance of studying spaces of cultural production in order to understand the power and limits of contemporary policy discourses and political economy. 

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The ‘Normative Power Europe’ debate has been a leitmotif in the academic discourse for over a decade. Far from being obsolete, the topic is as relevant as when the term was first coined by Ian Manners in 2002.1 ‘To be or not to be a normative power’ is certainly one of the existential dilemmas in the foreign policy of the European Union. This paper, however, intends to move beyond the black-and-white debate on whether the European Union is a normative power and to make it more nuanced by examining the factors that make it such. Contrary to the conventional perception that the European Union is a necessarily ‘benign’ force in the world, it assumes that it has aspirations to be a viable international actor. Consequently, it pursues different types of foreign policy behaviour with a varying degree of normativity in them. The paper addresses the question of under what conditions the European Union is a ‘normative power’. The findings of the study demonstrate that the ‘normative powerof the European Union is conditioned upon internal and external elements, engaged in a complex interaction with a decisive role played by the often neglected external elements.

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The idea behind the reputational measure for assessing power of political actors is that actors involved in a decision-making process have the best view of their fellows' power. There has been, however, no systematic examination of why actors consider other actors as powerful. Consequently, it is unclear whether reputational power measures what it ought to. The paper analyzes the determinants of power attribution and distinguishes intended from unintended determinants in a data-set of power assessment covering 10 political decision-making processes in Switzerland. Results are overall reassuring, but nevertheless point toward self-promotion or misperception biases, as informants systematically attribute more power to actors with whom they collaborate.

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Introductory -- The study of nature and the vision of God -- The metaphysic of Spinoza -- Plato and the founding of idealism -- The completing of idealism -- Erigena : the division of nature -- The theism of St. Thomas --Conclusion.

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"Nature books for use of teachers and parents": p. [924]-932.

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"First published in this edition, 1908; reprinted ... 1919."

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Thesis (Ph.D.)--University of Washington, 2016-06

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The neurodevelopmental hypothesis (NDH) of schizophrenia suggests that a disruption of brain development during early life underlies the later emergence of psychosis during adulthood. The aim of this review is to chart the challenges and subsequent refinements to this hypothesis, with particular reference to the static versus progressive nature of the putative neurobiological processes underlying the NDH. A non-systematic literature review was undertaken, with an emphasis on major review papers relevant to the NDH. Weaknesses in the explanatory power of the NDH have led to a new generation of more refined hypotheses in recent years. In particular, recent versions of the hypothesis have incorporated evidence from structural neuroimaging which suggests changes in brain volumes after the onset of schizophrenia. More detailed models that incorporate progressive neurobiological processes have replaced early versions of the NDH, which were based on a 'static encephalopathy. In addition, recent models have suggested that two or more 'hits' are required over the lifespan rather than only one early-life event. Animal models are providing important insights into the sequelae of disturbed early brain development. The NDH has provided great impetus to the schizophrenia research community. Recent versions of the hypothesis have encouraged more focused and testable hypotheses.

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We examine the question of the optimal number of reserves that should be established to maximize the persistence of a species. We assume that the mean time to extinction of a single population increases as a power of the habitat area, that there is a certain amount of habitat to be reserved, and that the aim is to determine how this habitat is most efficiently divided. The optimal configuration depends on whether the management objective is to maximize the mean time to extinction or minimize the risk of extinction. When maximizing the mean time to extinction, the optimal number of independent reserves does not depend on the amount of available habitat for the reserve system. In contrast, the risk of extinction is minimized when individual reserves are equal to the optimal patch size, making the optimal number of reserves linearly proportional to the amount of available habitat. A model that includes dispersal and correlation in the incidence of extinction demonstrates the importance of considering the relative rate at which these two factors decrease with distance between reserves. A small number of reserves is optimal when the mean time to extinction increases rapidly with habitat area or when risks of extinction are high.

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Background The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and environmental factors remains a statistical and computational challenge in genetic epidemiology. We have previously introduced a genetic programming optimized neural network (GPNN) as a method for optimizing the architecture of a neural network to improve the identification of gene combinations associated with disease risk. The goal of this study was to evaluate the power of GPNN for identifying high-order gene-gene interactions. We were also interested in applying GPNN to a real data analysis in Parkinson's disease. Results We show that GPNN has high power to detect even relatively small genetic effects (2–3% heritability) in simulated data models involving two and three locus interactions. The limits of detection were reached under conditions with very small heritability (

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Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and environmental factors remains a statistical and computational challenge in genetic epidemiology. We have previously introduced a genetic programming optimized neural network (GPNN) as a method for optimizing the architecture of a neural network to improve the identification of gene combinations associated with disease risk. The goal of this study was to evaluate the power of GPNN for identifying high-order gene-gene interactions. We were also interested in applying GPNN to a real data analysis in Parkinson's disease. Results: We show that GPNN has high power to detect even relatively small genetic effects (2-3% heritability) in simulated data models involving two and three locus interactions. The limits of detection were reached under conditions with very small heritability (

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We used magnetoencephalography (MEG) to examine the nature of oscillatory brain rhythms when passively viewing both illusory and real visual contours. Three stimuli were employed: a Kanizsa triangle; a Kanizsa triangle with a real triangular contour superimposed; and a control figure in which the corner elements used to form the Kanizsa triangle were rotated to negate the formation of illusory contours. The MEG data were analysed using synthetic aperture magnetometry (SAM) to enable the spatial localisation of task-related oscillatory power changes within specific frequency bands, and the time-course of activity within given locations-of-interest was determined by calculating time-frequency plots using a Morlet wavelet transform. In contrast to earlier studies, we did not find increases in gamma activity (> 30 Hz) to illusory shapes, but instead a decrease in 10–30 Hz activity approximately 200 ms after stimulus presentation. The reduction in oscillatory activity was primarily evident within extrastriate areas, including the lateral occipital complex (LOC). Importantly, this same pattern of results was evident for each stimulus type. Our results further highlight the importance of the LOC and a network of posterior brain regions in processing visual contours, be they illusory or real in nature. The similarity of the results for both real and illusory contours, however, leads us to conclude that the broadband (< 30 Hz) decrease in power we observed is more likely to reflect general changes in visual attention than neural computations specific to processing visual contours.