11 resultados para Access to legal profession
em Universidade do Minho
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Public participation in environmental governance is typically associated with citizen access to power despite many closures and limitations having been identified in participatory processes. This article proposes an analytical framework to analyse discursive practices involved in public consultation processes. Critical Discourse Analysis is used to examine and appraise citizens’ access, standing and influence. We apply that framework to a ‘notice and comment’ process on a hydroelectric power plan in Portugal and show that it was discursively managed to justify the decision of constructing 10 large dams and to reject critical or alternative views. Citizens’ access, standing and influence were constrained through diverse discursive practices which (re)produced very unequal power relationsbetween policy proponents and participating individuals. More generally, the article illustrates the potential of Critical Discourse Analysis to assess voice(s) in policy processes. Focusing on argumentative, interactional and rhetorical levels, and how they are interwoven in public consultation discourses, the proposed framework is conceivably applicable in other studies.
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Accepted Manuscript
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Dissertação de mestrado em Direitos Humanos
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Dissertação de mestrado em Direito Administrativo
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Tese de Doutoramento em Ciência e Engenharia de Polímeros e Compósitos
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Dissertação de mestrado em Direito dos Contratos e da Empresa
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Dissertação de mestrado em Direito das Crianças, Família e Sucessões
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Dissertação de mestrado em Direito Judiciário (Direitos Processuais e Organização Judiciária)
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Apresentação realizada em 23 outubro de 2015 no: National Workshop for Open Access: «Open Access to research publications & data», Nicosia, Chipre. Também acessível em: http://hdl.handle.net/10797/14460
Resumo:
Patient blood pressure is an important vital signal to the physicians take a decision and to better understand the patient condition. In Intensive Care Units is possible monitoring the blood pressure due the fact of the patient being in continuous monitoring through bedside monitors and the use of sensors. The intensivist only have access to vital signs values when they look to the monitor or consult the values hourly collected. Most important is the sequence of the values collected, i.e., a set of highest or lowest values can signify a critical event and bring future complications to a patient as is Hypotension or Hypertension. This complications can leverage a set of dangerous diseases and side-effects. The main goal of this work is to predict the probability of a patient has a blood pressure critical event in the next hours by combining a set of patient data collected in real-time and using Data Mining classification techniques. As output the models indicate the probability (%) of a patient has a Blood Pressure Critical Event in the next hour. The achieved results showed to be very promising, presenting sensitivity around of 95%.
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Tese de Doutoramento em Ciências Empresariais.