Environmental Decision Support: a Distributed Artificial Intelligence Approach

Decision making in any environmental domain is a complex and demanding activity, justifying the development of dedicated decision support systems. Every decision is confronted with a large variety and amount of constraints to satisfy as well as contradictory interests that must be sensibly accommodated. The first stage of a project evaluation is its submission to the relevant group of public (and private) agencies. The individual role of each agency is to verify, within its domain of competence, the fulfilment of the set of applicable regulations. The scope of the involved agencies is wide and ranges from evaluation abilities on the technical or economical domains to evaluation competences on the environmental or social areas. The second project evaluation stage involves the gathering of the recommendations of the individual agencies and their justified merge to produce the final conclusion. The incorporation and accommodation of the consulted agencies opinions is of extreme importance: opinions may not only differ, but can be interdependent, complementary, irreconcilable or, simply, independent. The definition of adequate methodologies to sensibly merge, whenever possible, the existing perspectives while preserving the overall legality of the system, will lead to the making of sound justified decisions. The proposed Environmental Decision Support System models the project evaluation activity and aims to assist developers in the selection of adequate locations for their projects, guaranteeing their compliance with the applicable regulations.

Relações públicas versus marketing no setor da cultura em Portugal EGEAC: um estudo de caso

Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Gestão Estratégica das Relações Públicas.

CardioBengo study protocol: a population based cardiovascular longitudinal study in Bengo Province, Angola

Background: Cardiovascular diseases and other non-communicable diseases are major causes of morbidity and mortality, responsible for 38 million deaths in 2012, 75 % occurring in low- and middle-income countries. Most of these countries are facing a period of epidemiological transition, being confronted with an increased burden of non-communicable diseases, which challenge health systems mainly designed to deal with infectious diseases. With the adoption of the World Health Organization “Global Action Plan for the Prevention and Control of non-communicable diseases, 2013–2020”, the national dimension of risk factors for non-communicable diseases must be reported on a regular basis. Angola has no national surveillance system for non-communicable diseases, and periodic population-based studies can help to overcome this lack of information. CardioBengo will collect information on risk factors, awareness rates and prevalence of symptoms relevant to cardiovascular diseases, to assist decision makers in the implementation of prevention and treatment policies and programs. Methods: CardioBengo is designed as a research structure that comprises a cross-sectional component, providing baseline information and the assembling of a cohort to follow-up the dynamics of cardiovascular diseases risk factors in the catchment area of the Dande Health and Demographic Surveillance System of the Health Research Centre of Angola, in Bengo Province, Angola. The World Health Organization STEPwise approach to surveillance questionnaires and procedures will be used to collect information on a representative sex-age stratified sample, aged between 15 and 64 years old. Discussion: CardioBengo will recruit the first population cohort in Angola designed to evaluate cardiovascular diseases risk factors. Using the structures in place of the Dande Health and Demographic Surveillance System and a reliable methodology that generates comparable results with other regions and countries, this study will constitute a useful tool for the surveillance of cardiovascular diseases. Like all longitudinal studies, a strong concern exists regarding dropouts, but strategies like regular visits to selected participants and a strong community involvement are in place to minimize these occurrences.

Decision Support Concerning Demand Response Programs Design and Use – A Conceptual Framework and Simulation Tool

Demand response can play a very relevant role in the context of power systems with an intensive use of distributed energy resources, from which renewable intermittent sources are a significant part. More active consumers participation can help improving the system reliability and decrease or defer the required investments. Demand response adequate use and management is even more important in competitive electricity markets. However, experience shows difficulties to make demand response be adequately used in this context, showing the need of research work in this area. The most important difficulties seem to be caused by inadequate business models and by inadequate demand response programs management. This paper contributes to developing methodologies and a computational infrastructure able to provide the involved players with adequate decision support on demand response programs and contracts design and use. The presented work uses DemSi, a demand response simulator that has been developed by the authors to simulate demand response actions and programs, which includes realistic power system simulation. It includes an optimization module for the application of demand response programs and contracts using deterministic and metaheuristic approaches. The proposed methodology is an important improvement in the simulator while providing adequate tools for demand response programs adoption by the involved players. A machine learning method based on clustering and classification techniques, resulting in a rule base concerning DR programs and contracts use, is also used. A case study concerning the use of demand response in an incident situation is presented.

Renal involvement in prolonged salmonella bacteremia: the role of schistosomal glomerulopathy

Renal involvement has been well documented in patients with hepatosplenic schistosomiasis and in patients with prolonged salmonella bacteremia (PSB). Whether there is a specific renal lesion related to PSB or the chronic bacterial infection aggravates a pre-existing schistosomal glomerulopathy has been a matter of controversy. To analyze the clinical manifestations and histopathological findings of the renal involvement, 8 patients with hepatosplenic schistosomiasis and PSB (group I) were compared with 8 patients with schistosomal glomerulopathy (group II) matched by sex and glomerular disease. The mean age in group I was 17.7 years. All patients presented with hematuria, in 4 cases associated with non-nephrotic proteinuria. In group II the mean age was 23 years; nephrotic syndrome was the clinical presentation in 7 of the 8 patients in the group. All patients in group I experienced remission of the clinical and laboratory abnormalities as the salmonella infection was cured; in group II the patients had persistent, steroid-resistant, nephrotic syndrome. On histological examination, no difference was noted between the two groups, except for pronounced glomerular hypercellularity and interstitial mononuclear cell infiltration in group I. These observations strongly suggest that PSB exacerbates a pre-existing sub-clinical schistosomal glomerulopathy by the addition of active lesions directly related to the prolonged bacteremia

Central nervous system involvement in Chagas' disease: an updating

A review was made of the available literature on central nervous system (CNS) involvement in Chagas' disease. Thirty-one works concerning the acute nervous form and 17 others dealing with the chronic nervous form, all presenting neuropathologic studies, were critically analysed. Based on this analysis, an attempt was made to establish the possible natural history of CNS involvement in Chagas' disease. Among others, the following facts stand out: 1) the initial, acute phase of Trypanosoma cruzi infection is usually asymptomatic and subclinical; 2) only a small percentage of cases develop encephalitis in the acute phase of Chagas' disease; 3) the symptomatic acute forms accompanied by chagasic encephalitis are grave, with death ensuing in virtually all cases as a result of the brain lesions per se or of acute chagasic myocarditis, this being usually intense and always present; 4) individuals with the asymptomatic acute form and with the mild symptomatic acute form probably have no CNS infection or, in some cases, they may have discrete encephalitis in sparse foci. In the latter case, regression of the lesions may be total, or residual inflammatory nodules of relative insignificance may persist. Thus, no anatomical basis exists that might characterize the existence of a chronic nervous form of Chagas' disease; 5) reactivation of the CNS infection in the chronic form of Chagas' disease is uncommon and occurs only in immunosuppressed patients.

Optimizing memory transactions for large-scale programs

Even though Software Transactional Memory (STM) is one of the most promising approaches to simplify concurrent programming, current STM implementations incur significant overheads that render them impractical for many real-sized programs. The key insight of this work is that we do not need to use the same costly barriers for all the memory managed by a real-sized application, if only a small fraction of the memory is under contention lightweight barriers may be used in this case. In this work, we propose a new solution based on an approach of adaptive object metadata (AOM) to promote the use of a fast path to access objects that are not under contention. We show that this approach is able to make the performance of an STM competitive with the best fine-grained lock-based approaches in some of the more challenging benchmarks. (C) 2015 Elsevier Inc. All rights reserved.

Welcome to the golden land: sexual and gender-based violence against women refugees from Burma

European Master’s Degree in Human Rights and Democratisation Academic Year 2005/2006

System theorizing and environmental governance in the EU

Comunicação apresentada na 9th European Sociological Association Conference - European Society or European Societies, no ISCTE, de 2 a 5 de Setembro de 2009.

EcoTerra Model - application of environmental fiscal reform in local government financing in Portugal

Critical Issues in Environmental Taxation: International and Comparative Perspectives: Volume VI, 699-715

Static detection of anomalies in transactional memory programs

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática

Is CK-MB isoenzyme useful for diagnosis of cardiac involvement in icteric leptospirosis?

In the absence of heart failure or cardiogenic shock, cardiac involvement diagnosis in icteric leptospirosis is possible on the basis of abnormal electrocardiograms. As metabolic and electrolytic disorders are frequently seen during acute leptospirosis infection, they may be responsible for some electrocardiograms changes. We conducted a study to assess if creatine phosphokinase isoenzyme determinations are useful in selecting patients with a high cardiac involvement suspicion. Sixty-nine patients were studied prospectively. Ten patients out of 16 with cardiac involvement and 25 without had high CK-MB levels (p>0.05), although mean values of abnormal CK-MB levels were higher in the group with cardiac involvement (p<0.05). Our analysis indicates that serum CK-MB determination does not provide a specific indicator of myocardial involvement in the course of icteric leptospirosis.

Privatization in an international mixed duopoly with environmental taxes

We study the effects of environmental and trade policies in an international duopoly serving two countries, with pollution abatement. This analysis is done in both mixed and privatized markets. The model has two stages: First, governments choose environmental taxes and import tariffs, simultaneously; then, the firms compete in the market by choosing output levels for the domestic market and to export and also abatement levels.

Virtual Power Player Using Demand Response to Deal with Unexpected Low Wind Power Generation

Demand response is assumed as an essential resource to fully achieve the smart grids operating benefits, namely in the context of competitive markets and of the increasing use of renewable-based energy sources. Some advantages of Demand Response (DR) programs and of smart grids can only be achieved through the implementation of Real Time Pricing (RTP). The integration of the expected increasing amounts of distributed energy resources, as well as new players, requires new approaches for the changing operation of power systems. The methodology proposed in this paper aims the minimization of the operation costs in a distribution network operated by a virtual power player that manages the available energy resources focusing on hour ahead re-scheduling. When facing lower wind power generation than expected from day ahead forecast, demand response is used in order to minimize the impacts of such wind availability change. In this way, consumers actively participate in regulation up and spinning reserve ancillary services through demand response programs. Real time pricing is also applied. The proposed model is especially useful when actual and day ahead wind forecast differ significantly. Its application is illustrated in this paper implementing the characteristics of a real resources conditions scenario in a 33 bus distribution network with 32 consumers and 66 distributed generators.

Susceptibilidade genética para cancro da mama

RESUMO: O cancro da mama é a patologia oncológica mais frequente nas mulheres sendo o responsável pela maior taxa de mortalidade por cancro no sexo feminino. Contudo, as causas inerentes a esta patologia permanecem por esclarecer. Nos últimos anos tem-se verificado que o risco para patologia neoplásica depende de factores ambientais e genéticos, estando estes últimos associados à variabilidade genética inter-individual. Polimorfismos genéticos em genes envolvidos no metabolismo de hormonas sexuais, de cancerígenos ambientais e na reparação da lesão genética, são potenciais candidatos a estarem associados à susceptibilidade individual para esta patologia. Assim, neste trabalho desenvolveram-se estudos de associação caso-controlo na população Portuguesa, com vista a avaliar-se o papel atribuído aos polimorfismos na susceptibilidade para cancro da mama. Foram seleccionados polimorfismos em genes envolvidos em diferentes vias mecanicistas: destoxificação de cancerígenos, metabolismo de estrogénios, reparação por excisão de bases, reparação por excisão de nucleótidos, reparação mismatch e reparação por recombinação homóloga. Os resultados obtidos revelaram associação entre os seguintes polimorfismos e a susceptibilidade individual para cancro da mama: os dois SNPs estudados no gene XRCC1 (Arg194Trp e Arg399Gln) e o SNP no gene XRCC3 (Thr241Met) após estratificação pelo status menopausico. Mediante estratificação por status de amamentação os SNPs identificados nos genes MnSOD (Val16Ala) e XRCC2 (Arg118His); um SNP no gene MLH3 (Leu844Pro), e por fim como resultado de interacção gene-gene as interacções descritas por MSH3 Ala1045Thr/MSH6 Gly39Glu e MSH4 Ala97Thr/MLH3 Leu844Pro. Os resultados obtidos e apresentados na presente dissertação, revelam que o estudo de polimorfismos pode representar um papel determinante na etiologia do cancro da mama. No entanto, mais estudos envolvendo estes mesmos polimorfismos em populações casuisticamente superiores serão uma mais-valia nos estudos de associação para esta neoplasia. Adicionalmente, a utilização da metodologia de Pools de DNA, poderá ser uma ferramenta útil na pré-selecção dos polimorfismos mais relevantes a estudar, na medida em que permite estimar a frequência alélica de cada SNP numa determinada população.-----------------------------------ABSTRACT: Breast cancer is the most common form of cancer among women, being the responsible for the highest mortality rate from cancer among the female sex. However, the main causes related to this pathology remain unclear. The risk of neoplasic disease has been connected with genetic and environmental factors. In fact, genes and the environment share the stage for most, if not all, common non-familial cancers, and are related to individual susceptibility. Genetic polymorphisms identified in genes encoding enzymes involved in estrogen metabolism, xenobiotics and DNA repair pathways are believed to be candidates for associations with breast cancer. Therefore, it was our intention to develop case-control studies among the Portuguese population, in order to evaluate the potential role of several genetic polymorphisms in breast cancer susceptibility. We selected polymorphisms in genes involved in different pathways: carcinogenic detoxification, estrogen metabolism, base excision repair, nucleotide excision repair, mismatch repair and double strand break repair by homologous recombination. The results obtained revealed potential associations between some polymorphisms studied and individual susceptibility to breast cancer. Regarding this fact, our results suggest the potential involvement of two XRCC1 gene polymorphisms (Arg194Trp and Arg399Gln) and XRCC3 gene polymorphism (Thr241Met) after stratification to menopausal status and after stratification to breastfeeding status an association of MnSOD gene polymorphism (Val16Ala) and XRCC2 (Arg188His) with the disease. The SNP identified in MLH3 gene (Leu844Pro), and the interaction gene-gene described by MSH3 Ala1045Thr/MSH6 Gly39Glu and MSH4 Ala97Thr/MLH3 Leu844Pro were also related to breast cancer susceptibility. The results shown in the present dissertation have revealed the potential role of polymorphisms in breast cancer etiology. However, further studies will be needed with larger populations to confirm these results. Additionally, the use of DNA pools methodology, as a pre-selection tool, could allow the identification of the most relevant polymorphisms to be studied, estimating the allelic frequency of each SNPs in different populations.