6 resultados para Method of the environmental’s tree impact

em Universidade do Minho


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Sustainability is frequently defined by its three pillars: economically viable, socially equitable, and environmentally bearable. Consequently the evaluation of the sustainability of any decision, public or private, requires information on these three dimensions. This paper focuses on social sustainability. In the context of renewable energy sources, the examination of social sustainability requires the analysis of not only the efficiency but also the equity of its welfare impacts. The present paper proposes and applies a methodology to generate the information necessary to do a proper welfare analysis of the social sustainability of renewable energy production facilities. This information is key both for an equity and an efficiency analysis. The analysis focuses on the case of investments in renewable energy electricity production facilities, where the impacts on local residents’ welfare are often significantly different than the welfare effects on the general population. We apply the contingent valuation method to selected facilities across the different renewable energy power plants located in Portugal and conclude that local residents acknowledge differently the damage sustained by the type, location and operation of the plants. The results from these case studies attest to the need of acknowledging and quantifying the negative impacts on local communities when assessing the economic viability, social equity and environmental impact of renewable energy projects.

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The experimental evaluation of viscoelastic properties of concrete is traditionally made upon creep tests that consist in the application of sustained loads either in compression or in tension. This kind of testing demands for specially devised rigs and requires careful monitoring of the evolution of strains, whereas assuring proper load constancy. The characterization of creep behaviour at early ages offers additional challenges due to the strong variations in viscoelastic behaviour of concrete during such stages, demanding for several testing ages to be assessed. The present research work aims to assist in reducing efforts for continuous assessment of viscoelastic properties of concrete at early ages, by application of a dynamic testing technique inspired in methodologies used in polymer science: Dynamic Mechanical Analyses. This paper briefly explains the principles of the proposed methodology and exhibits the first results obtained in a pilot application. The results are promising enough to encourage further developments.

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Hospitals are nowadays collecting vast amounts of data related with patient records. All this data hold valuable knowledge that can be used to improve hospital decision making. Data mining techniques aim precisely at the extraction of useful knowledge from raw data. This work describes an implementation of a medical data mining project approach based on the CRISP-DM methodology. Recent real-world data, from 2000 to 2013, were collected from a Portuguese hospital and related with inpatient hospitalization. The goal was to predict generic hospital Length Of Stay based on indicators that are commonly available at the hospitalization process (e.g., gender, age, episode type, medical specialty). At the data preparation stage, the data were cleaned and variables were selected and transformed, leading to 14 inputs. Next, at the modeling stage, a regression approach was adopted, where six learning methods were compared: Average Prediction, Multiple Regression, Decision Tree, Artificial Neural Network ensemble, Support Vector Machine and Random Forest. The best learning model was obtained by the Random Forest method, which presents a high quality coefficient of determination value (0.81). This model was then opened by using a sensitivity analysis procedure that revealed three influential input attributes: the hospital episode type, the physical service where the patient is hospitalized and the associated medical specialty. Such extracted knowledge confirmed that the obtained predictive model is credible and with potential value for supporting decisions of hospital managers.

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Doctoral Thesis for PhD degree in Industrial and Systems Engineering

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Aims. This paper is a report on a study analysing the effect of the umbilical cord cutting experience on fathers’ emotional involvement with their infants. Background. Participation in childbirth offers an opportunity for father and mother to share the childbirth experience, so it is vital that midwives improve the fathers’ participation in this event. Design. A quasi-experimental study with a quantitative methodology was implemented. Methods. One hundred and five fathers were recruited as part of a convenience sample in a Maternity Public Hospital in a Metropolitan City in Portugal, between January and May of 2008. The Bonding Scale, the Portuguese version of the ‘Mother-to-Infant Bonding Scale’ was used to evaluate the fathers’ emotional involvement with the neonate at different moments: before childbirth, first day after childbirth and first month after childbirth. After childbirth, the fathers were divided into three separate groups depending on their umbilical cord cutting experience. Results. The results demonstrate that the emotional involvement between father and child tends to increase during the first days after childbirth and to decrease when evaluated 1 month after birth, for fathers who did not cut the umbilical cord. However, fathers who cut the umbilical cord demonstrate an improvement in emotional involvement 1 month later. Conclusion. Results suggest that the umbilical cord cutting experience benefits the father’s emotional involvement with the neonate, supporting the benefits of his participation and empowerment in childbirth.