Avaliação de estruturas de madeira em serviço: caso de estudo da Ermida da Ascensão de Cristo

Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização de Edificações

Thermal Residual Stresses in Functionally Graded Structures: a Didactic Case Study

Conferência: 2nd Experiment at International Conference - 18-20 September 2013

The contribution of cellblock – histogel – in bronchial washing samples

Introduction: The cellblock is a technique that enables the pathologist to study the morphological detail of residual samples and can be used when it is necessary to perform additional diagnostic techniques. Objective: Demonstrate the processing of bronchial washings in liquid based cytology to cellblock using HistoGel in residual samples, evaluating the morphology and preservation of cytological material. Methods: There were used 40 residual samples from bronchial washings in liquid based cytology, after determination of the clinical diagnosis, being made subsequently 40 cellblocks using HistoGel. For each cellblock there was made one histological section for analysis of cell morphology, which was subsequently stained with the routine histological staining. After microscope observation, the morphology was evaluated by 3 experts in the field of pathology, based on the parameters: Cellularity, Preservation and Background. Results: The average final score of 3 evaluators, on a scale of 0 to 100, in assessing the morphology of the 40 samples was 55.6. From the 40 histological sections, 5 of them were considered not viable for evaluation. Conclusions: The results obtained indicate median quality maintenance of morphology. However, it is noted that in only 5 cases it was not possible to determine an evaluation, knowing from the outset that these are residual samples with a very scant cellularity. Thus, it is possible to say that the processing of bronchial washings to cellblock using HistoGel contributes to a concentration of the cytological material, allowing its evaluation and subsequent diagnosis. Additional diagnostic techniques are shown equally viable in these cellblocks.

Supply chain optimization of residual forestry biomass for bioenergy production: the case study of Portugal

Within a large set of renewable energies being explored to tackle energy sourcing problems, bioenergy can represent an attractive solution if effectively managed. The supply chain design supported by mathematical programming can be used as a decision support tool to the successful bioenergy production systems establishment. This strategic decision problem is addressed in this paper where we intent to study the design of the residual forestry biomass to bioelectricity production in the Portuguese context. In order to contribute to attain better solutions a mixed integer linear programming (MILP) model is developed and applied in order to optimize the design and planning of the bioenergy supply chain. While minimizing the total supply chain cost the production energy facilities capacity and location are defined. The model also includes the optimal selection of biomass amounts and sources, the transportation modes selection, and links that must be established for biomass transportation and products delivers to markets. Results illustrate the positive contribution of the mathematical programming approach to achieve viable economic solutions. Sensitivity analysis on the most uncertain parameters was performed: biomass availability, transportation costs, fixed operating costs and investment costs. (C) 2015 Elsevier Ltd. All rights reserved.