Esta Dissertação aborda o tema “Aplicabilidade do Método Gaia a hospitais de Cooperativas Médicas Unimed”. O trabalho inclui o estudo em dois hospitais de cooperativas do segmento saúde no Estado do Rio Grande do Sul, por meio do uso do Método Gaia – Gerenciamento de Aspectos e Impactos Ambientais –, desenvolvido pelo doutor Alexandre de Avila Leripio em 2001, como resultado de sua Tese de Doutorado. O método, segundo seu autor, é um meio para se alcançar o objetivo maior almejado que é a melhoria do desempenho ambiental das organizações e o alcance da sustentabilidade plena, seja do empreendimento numa visão micro ou do planeta como um todo. Trata-se de uma pesquisa exploratória, com base em estudo de caso de dois hospitais. Para a concretização da investigação foram realizadas pesquisas sobre os seguintes temas: cooperativismo médico, problemática ambiental na gestão empresarial e o Método Gaia, sendo buscados na literatura subsídios para a pesquisa sobre a questão ambiental em âmbito geral e, principalmente, a causada por hospitais, pois os mesmos diferem em relação aos impactos que requerem cuidados especiais, pois têm como característica diferencial o fato de que são operados 24 horas por dia, 365 dias no ano, possuem equipamentos diversos para a produção de alimentos, consomem óleo combustível ou lenha para a geração de energia, usam uma variedade de outros recursos comuns em quantidades consideráveis, incluindo borracha, plásticos e papel, bem como o grande consumo de produtos médico-hospitalares descartáveis, que são usados para impedir a transmissão de doenças entre os profissionais, pacientes e empregados. Atualmente os hospitais podem ser considerados as organizações de maior complexidade administrativa, pois necessitam administrar uma gama muito grande de profissionais que trabalham nestas entidades e pessoas que usufruem de seus serviços, dando uma atenção à prestação deste serviço desde a entrada do paciente até sua alta hospitalar. O Método Gaia é uma excelente ferramenta para o gerenciamento de aspectos e impactos ambientais, mas, no caso das organizações hospitalares, ele requer adaptações quanto aos aspectos próprios deste tipo de organização. O mesmo mostrou ser eficiente como ferramenta de análise. O método aparenta ser de fácil aplicação e entendimento para o exercício de início da instalação de um sistema de gerenciamento ambiental. Como resultado da pesquisa, identificou-se que as organizações possuem um bom desempenho ambiental, mas estão restritas ainda ao que determinam as questões legais impostas pelos órgãos que regulam o setor. / 165 f.

Dissertação de mestrado. Gestão de Informação. 2001. Faculdade de Engenharia. Universidade do Porto

No description available.

A presente dissertação debruça-se sobre a formação e configuração da "cidade difusa" que caracteriza a aglomeração urbana do Porto e o modo como se manifesta no território analisando, por um lado, os factores indutores dessa dispersão e, por outro, reconhecendo os efeitos de catálise urbana produzidos pelo enclave de estruturas urbanas de excepção (após década de 60). Escolheu-se para estudo de cas, a mancha difusa envolvente do nó rodoviário da Afurada, em Vila Nova de Gaia, tornando assim mais clara, a articulação das questões morfológicas e funcionais com os tecidos que compõem este território, tendo sempre presente as questões de acessibilidade e mobicilidade acrescidas que tanto o nó rodoviário como as vias estruturantes metropolitanas introduziram naquele local. Reconhecemos, assim, que efeitos de centralidade e nucleação urbana revelam-se potenciais intensificadores dos processos de transformação urbana e da sua vasta e benéfica diversidade.

This dissertation joins the history of science and medicine with environmental history to explore the language of health in environmental politics. Today, in government policy briefs and mission statements of environmental non-profits, newspaper editorials and activist journals, claims about the health of the planet and its human and non-human inhabitants abound. Yet despite this rhetorical ubiquity, modern environmental politics are ideologically and organizationally fractured along the themes of whose health is at stake and how that health should be protected. This dissertation traces how these competing conceptions of health came to structure the landscape of American environmental politics. Beginning in the early 1950s, an expanding network of environmental activists began to think in terms of protecting the health of the planet and its inhabitants from the unprecedented hazards of nuclear energy and chemical proliferation. They did this by appropriating models and metaphors of health developed by postwar ecologists, philosophers, epidemiologists and nuclear physicians. Through this process of appropriation, scientists and philosophers were likewise drawn into environmental activism. Through five case studies, this dissertation traces the collaborations between scientists, environmental activists, philosophers, and medical doctors which enabled a broad range of articulations of health: the health of the wild, the health of the environment, the health of the planet, and the health of humans within the environment. Each case study attends to the intersection of political thought and practice, and explores how science and environmental activism were in constant dialogue in the postwar period. Drawing on archival materials and extensive oral history interviews, this dissertation demonstrates the centrality of health to American environmental politics from the end of World War Two until the present day. / History of Science

Thesis (Ph. D.)--Carleton University, 2001. / Accompanying material : 1 folded map in pocket. Includes bibliographical references (p. 346-370). Also available in electronic format on the Internet.

Today there are many IT-systems holding information about different things. The information can for example be anything from news feeds to complex environment systems. By making these system collaborate with each other new oppurtunities and functionality can be established. However, since most of the systems are developed individually, there are different ways to communicate with each system. Therefore, The IT-agency Gaia has started a collaboration with the real estate company Klövern AB. The intention was to develop a plat- form for functional- and informational distribution focusing on commercial real estates. The platform was supposed to be available for Klöverns tenants and be used in public environments providing access to intelligent environment systems, processes in facility management and interactive information channels. This report describes the user study, the idea development and the implementation of two Windows 8 Metro application prototypes communicating through this platform. The two prototypes was directed towards the Cnema and Gaia which are both tenants of Klövern. Furthermore, both the applications was written in C# and uses ASP.Net library Signalr for real-time communication.

This thesis was carried out in two parts. The stellar spectral data was used from the Gaia-ESO survey. The data used was fromthe public archive as well as data received from Dr. Recio-Blanco at Observatoire Cote D'Azure. 1) I performed anomaly detection using unsupervised random forests, by applying the concept of weirdness scores to identify outliers. 2) Using spectral data along with physical parameters of objects in the galactic bulge of the Gaia-ESO survey, I built a variational autoencoder neural network to reconstruct stellar spectra and explore latent features learning physical parameters by themselves.

No description available.

Ce travail a comme objectif principal de vérifier s’il est possible de faire de la science avec les observations d’objets étendus qui seront réalisées par la mission spatiale Gaia. Cette mission, l’un des plus ambitieux projets de l’Astronomie moderne,observera plus d’un milliard d’objets dans tout le ciel avec des précisions inédites, fournissant des données astrométriques, photométriques et spectroscopiques. Naturellement, en fonction de sa priorité astrométrique, Gaia a été optimisé pour l’étude d’objets ponctuels. Néanmoins, diverses sources associées à des émissions étendues seront observées. Ces émissions peuvent avoir une origine intrinsèque, telles que les galaxies, ou extrinsèque, telles que les projections d’objets distincts sur la même ligne de visée, et présenteront probablement de solutions astrométriques moins bonnes.Pour étudier ces émissions, leurs images bidimensionnelles doivent être analysées.Néanmoins, comme Gaia ne produit pas de telles données, nous avons commencé ce travail en vérifiant si à partir de ses observations unidimensionnelles il serait possible de reconstruire des images 2D d’objets dans tout le ciel.Nous avons ainsi estimé la quantité de cas sujets à la présence d’émissions étendues extrinsèques, et nous avons présenté une méthode que nous avons développée pour analyser leurs images reconstruites. Nous avons montré que l’utilisation de cette méthode permettra d’étendre le catalogue final de façon fiable à des millions de sources ponctuelles dont beaucoup dépasseront la magnitude limite de l’instrument.D’un autre coté, dans le cas d’émissions intrinsèques, nous avons premièrement obtenu une estimation supérieure du nombre de cas que Gaia pourra observer. Nous avons alors vérifié qu’après les reconstructions d’images, les codes que nous avons développés permettront de classifier morphologiquement des millions de galaxies dans les types précoce/tardif et elliptique/spirale/irrégulière. Nous avons de plus présenté une méthode que nous avons développée pour réaliser la décomposition bulbe/disque directement à partir des observations unidimensionnelles de Gaia de façon complètement automatique.Finalement nous avons conclu qu’il est possible d’utiliser beaucoup de ces données qui pourraient être ignorées pour faire de la science. Et que le fait de les exploiter permettra aussi bien la détection de millions d’objets qui dépassent la limite de magnitude de Gaia, que de mener des études sur la morphologie de millions de galaxies dont les structures ne peuvent être révélées qu’à partir de l’espace ou au moyen d’optique adaptative, augmentant un peu plus les horizons de cette mission déjà immense. / The main objective of this work is to determine whether it is possible to do science from the observations of extended objects that will be performed by the Gaia space mission. One of the most ambitious projects of modern Astronomy, this mission will observe more than one billion objects through out the sky, thus providing astrometric, photometric and spectroscopic data with unprecedented precision. Naturally, Gaia has been optimized for the study of point-like sources due to its astrometrical priority. Nevertheless, many sources associated with extended emission will be observed. The origins of these extended sources can be either intrinsic, such as galaxies, or extrinsic, such as projections of objects in the same line of sight. In both cases, these sources will have less than optimal astrometric solutions.In order to study those emissions, their two-dimensional images will be analyzed. Nonetheless, since Gaia will not acquire such images, we begin this work by checking whether it will be possible to reconstruct images anywhere in the sky from the satellite’s one-dimensional observations.Consequently, we, on the one hand, estimate the number of cases which will be subjected to the extrinsic extended emissions, present a method which we developed to analyze the reconstructed images by segregating the different sources and show that the adoption of this method will allow extending the catalogue reliably by millions of point sources, many of which are beyond the limiting magnitude of the instrument. On the other hand, regarding intrinsic extended emissions, we first obtain an upper limit estimate for the number of cases which Gaia will be able to observe ; then,we verify that the combination of image reconstructions and the use of the codes introduced here in will allow performing the morphological classification of millions of galaxies in early/late types and elliptical/spiral/irregular classes. Afterward,we present a method which we developed to decompose those galaxies into their bulge/disk components directly from the one-dimensional Gaia data in a completely automatic way. Finally, we conclude that it is possible to harness the data of many of the observations that might other wise be ignored to do science. Saving these data will allow the detection of millions of objects beyond Gaia’s limiting magnitude and the study of the morphology of millions of galaxies whose structures can only be probed from space or through the adoption of adaptive optics, thus somewhat expanding the horizons of this already comprehensive mission.