3 resultados para Astronomical Data Bases : Miscellaneous
Resumo:
RESUMO - A doença renal crónica (DRC) resulta da perda de função renal, sendo necessário a terapêutica de substituição, no estádio terminal. Em Portugal está atualmente em vigor o modelo de Gestão Integrada da Doença, que tem inerente o cumprimento de objetivos e metas pelas unidades de diálise. Uma alimentação adequada é um pilar fundamental ao sucesso do tratamento desta doença, o que torna o profissional de nutrição indispensável. Este trabalho pretendeu avaliar o cumprimento das metas e objetivos estabelecidos no modelo referido, e relacionar os resultados obtidos com a existência de contacto entre o profissional de nutrição e os pacientes. Para a persecução dos objetivos, foram analisadas duas bases de dados disponibilizadas pela Direção Geral da Saúde: a base de dados da Plataforma de Gestão Integrada da Doença Renal Crónica em 2012 e a do Questionário de Avaliação da Satisfação dos Doentes em Hemodiálise em 2013. Verificou-se uma melhoria contínua ao longo dos anos do cumprimento das metas e objetivos preconizados em Portugal para o tratamento da DRC, com um cumprimento da maioria no ano de 2012. No entanto, os parâmetros ferritina e albumina sérica ficaram aquém da recomendação. Observou-se um nível elevado de satisfação do paciente quanto ao trabalho do profissional de nutrição, apesar de ser frequente a inexistência de contacto entre ambas as partes. Os resultados obtidos demonstram também que o profissional de nutrição tem um papel importante para a obtenção de melhores resultados de saúde nos pacientes em tratamento por hemodiálise, pelo que se sugere um acompanhamento da totalidade deste tipo de população por este profissional.
Resumo:
Nowadays there is a big percentage of the population, specially young users, which are smartphone users and there is a lot of information to be provided within the applications, information provision should be done carefully and should be accurate, otherwise an overload of information will be produced, and the user will discard the app which is providing the information. Mobile devices are becoming smarter and provide many ways to filter information. However, there are alternatives to improve information provision from the side of the application. Some examples are, taking into account the local time, considering the battery level before doing an action and checking the user location to send personalized information attached to that location. SmartCampus and SmartCities are becoming a reality and they have more and more data integrated every day. With all this amount of data it is crucial to decide when and where is the user going to receive a notification with new information. Geofencing is a technique which allows applications to deliver information in a more useful way, in the right time and in the right place. It consists of geofences, physical regions delimited by boundaries, and devices that are eligible to receive the information assigned to the geofence. When devices cross one of these geofences an alert is pushed to the mobile device with the information.
Resumo:
The interest in using information to improve the quality of living in large urban areas and its governance efficiency has been around for decades. Nevertheless, the improvements in Information and Communications Technology has sparked a new dynamic in academic research, usually under the umbrella term of Smart Cities. This concept of Smart City can probably be translated, in a simplified version, into cities that are lived, managed and developed in an information-saturated environment. While it makes perfect sense and we can easily foresee the benefits of such a concept, presently there are still several significant challenges that need to be tackled before we can materialize this vision. In this work we aim at providing a small contribution in this direction, which maximizes the relevancy of the available information resources. One of the most detailed and geographically relevant information resource available, for the study of cities, is the census, more specifically the data available at block level (Subsecção Estatística). In this work, we use Self-Organizing Maps (SOM) and the variant Geo-SOM to explore the block level data from the Portuguese census of Lisbon city, for the years of 2001 and 2011. We focus on gauging change, proposing ways that allow the comparison of the two time periods, which have two different underlying geographical bases. We proceed with the analysis of the data using different SOM variants, aiming at producing a two-fold portrait: one, of the evolution of Lisbon during the first decade of the XXI century, another, of how the census dataset and SOM’s can be used to produce an informational framework for the study of cities.