Clonal structure of Trypanosoma cruzi Colombian strain (biodeme Type III): biological, isoenzymic and histopathological analysis of seven isolated clones

The clonal structure of the Colombian strain of Trypanosoma cruzi, biodeme Type III and zymodeme 1, was analyzed in order to characterize its populations and to establish its homogeneity or heterogeneity. Seven isolated clones presented the basic characteristics of Biodeme Type III, with the same patterns of parasitemic curves, tissue tropism to skeletal muscle and myocardium, high pathogenicity with extensive necrotic-inflammatory lesions from the 20th to 30th day of infection. The parental strain and its clones C1, C3, C4 and C6, determined the higher levels of parasitemia, 20 to 30 days of infection, with high mortality rate up to 30 days (79 to 100%); clones C2, C5 and C7 presented lower levels of parasitemia, with low mortality rates (7.6 to 23%). Isoenzymic patterns, characteristic of zymodeme 1, (Z1) were similar for the parental strain and its seven clones. Results point to a phenotypic homogeneity of the clones isolated from the Colombian strain and suggest the predominance of a principal clone, responsible for the biological behavior of the parental strain and clones.

The impact of changing the transportation cost structure of a food retail company

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Italian interlocking directorates: structure, evolution and cross-country comparisons

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

STRUCTURE-FUNCTION ANALYSIS OF MULTI-COPPER OXIDASES

Dissertation presented to obtain the Ph.D degree in Biochemistry, Structural Biochemistry

O uso da Internet e da Web 2.0 na difusão e acesso à informação arquivística: o caso dos arquivos municipais portugueses

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciência da Informação e Documentação – Área de especialização em Arquivística

Dynamic adaptation of interaction models for stateful web services

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

História da Arte na World Wide Web

in Varia, Revista do IHA, N.3 (2007), pp.328-331

História da Arte na World Wide Web (II)

in Varia, Revista do IHA, N.4 (2007), pp.379-382

A web como componente do trabalho do jornalismo tradicional

Relatório de Estágio apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Novos Media e Práticas Web

Web-­documentário

O Kosovo declarou-­‐se independente a 17 de Fevereiro de 2008, sendo, neste momento, o segundo país mais recente do mundo, só ultrapassado pelo Sudão do Sul em 2011. Após a desintegração da ex-­‐Jugoslávia e todos os conflitos militares que se sucederam, a história do Kosovo, as suas origens, é talvez a que apresenta ainda mais questões por responder. O web-­‐documentário “Quem és tu, Kosovo?” trata-­‐se de um projecto documental de recolha de histórias de vida, onde o ponto central de cada entrevista é a procura de uma paralelismo entre a identidade dos seus cidadãos e o seu país. Este projecto, e o trabalho desenvolvido pelo jornalista no país, propõem-­‐se a ser uma experiência piloto para ser apresentado à população do Kosovo, e não só, com o objectivo de criar um arquivo de histórias do país e aumentar a diversidade de perspectivas identitárias.

Ageing on commercial automotive catalysts, a structure reactivity study

Increasingly stringed regulations for diesel engine emissions have a significant impact on the required efficiency of DOC. Lowered DOC oxidation efficiency due to thermal aging effects influences the efficiency of the exhaust aftertreatment systems downstream of the DOC. In this work carried out in the Jean Le Rond d’Alembert Institute the effect of hydrothermal aging on the reactivity and structure of a commercial DOC was investigated. The characterization of the catalytic performance was carried out on a synthetic gas bench using carrots catalyst under conditions close to the realistic conditions i.e. using a synthetic gas mixture, representative of the exhaust gases from diesel engines. Different structural characterization techniques were performed: textural and morphological proprieties were analyzed by BET and TEM, the characterization of the presented crystallographic phases was performed by DRX and the determination of the number of reducible species was possible by TPR. TEM results shown, an increase of the metal particle size with the aging caused by the agglomeration of metal particles, revealing the presence of metal sintering. DRX results also suggest the presence of support sintering. Furthermore, DRX and BET results unexpectedly reveal that the most drastic aging conditions used actually activated the catalyst surface. As expected, the aging affected negatively the catalyst performance on the oxidation of methane and CO, however an improvement of the NO oxidation performance with the aging was observed. Nevertheless, for the aging conditions used, catalytic activity results show that the influence of aging in DOC performance was not significant, and therefore, more drastic aging conditions must be used.

Otimização automática de aplicações web usando templates client-side

O crescente poder computacional dos dispositivos móveis e a maior eficiência dos navegadores fomentam a construção de aplicações Web mais rápidas e fluídas, através da troca assíncrona de dados em vez de páginas HTML completas. A OutSystems Platform é um ambiente de desenvolvimento usado para a construção rápida e validada de aplicaçõesWeb, que integra numa só linguagem a construção de interfaces de utilizador, lógica da aplicação e modelo de dados. O modelo normal de interação cliente-servidor da plataforma é coerente com o ciclo completo de pedido-resposta, embora seja possível implementar, de forma explícita, aplicações assíncronas. Neste trabalho apresentamos um modelo de separação, baseado em análise estática sobre a definição de uma aplicação, entre os dados apresentados nas páginas geradas pela plataforma e o código correspondente à sua estrutura e apresentação. Esta abordagem permite a geração automática e transparente de interfaces de utilizador mais rápidas e fluídas, a partir do modelo de uma aplicação OutSystems. O modelo apresentado, em conjunto com a análise estática, permite identificar o subconjunto mínimo dos dados a serem transmitidos na rede para a execução de uma funcionalidade no servidor, e isolar a execução de código no cliente. Como resultado da utilização desta abordagem obtém-se uma diminuição muito significativa na transmissão de dados, e possivelmente uma redução na carga de processamento no servidor, dado que a geração das páginasWeb é delegada no cliente, e este se torna apto para executar código. Este modelo é definido sobre uma linguagem, inspirada na da plataforma OutSystems, a partir da qual é implementado um gerador de código. Neste contexto, uma linguagem de domínio específico cria uma camada de abstração entre a definição do modelo de uma aplicação e o respetivo código gerado, tornando transparente a criação de templates clientside e o código executado no cliente e no servidor.

Efficient paraconsistent reasoning with rules and ontologies for the semantic web

Ontologies formalized by means of Description Logics (DLs) and rules in the form of Logic Programs (LPs) are two prominent formalisms in the field of Knowledge Representation and Reasoning. While DLs adhere to the OpenWorld Assumption and are suited for taxonomic reasoning, LPs implement reasoning under the Closed World Assumption, so that default knowledge can be expressed. However, for many applications it is useful to have a means that allows reasoning over an open domain and expressing rules with exceptions at the same time. Hybrid MKNF knowledge bases make such a means available by formalizing DLs and LPs in a common logic, the Logic of Minimal Knowledge and Negation as Failure (MKNF). Since rules and ontologies are used in open environments such as the Semantic Web, inconsistencies cannot always be avoided. This poses a problem due to the Principle of Explosion, which holds in classical logics. Paraconsistent Logics offer a solution to this issue by assigning meaningful models even to contradictory sets of formulas. Consequently, paraconsistent semantics for DLs and LPs have been investigated intensively. Our goal is to apply the paraconsistent approach to the combination of DLs and LPs in hybrid MKNF knowledge bases. In this thesis, a new six-valued semantics for hybrid MKNF knowledge bases is introduced, extending the three-valued approach by Knorr et al., which is based on the wellfounded semantics for logic programs. Additionally, a procedural way of computing paraconsistent well-founded models for hybrid MKNF knowledge bases by means of an alternating fixpoint construction is presented and it is proven that the algorithm is sound and complete w.r.t. the model-theoretic characterization of the semantics. Moreover, it is shown that the new semantics is faithful w.r.t. well-studied paraconsistent semantics for DLs and LPs, respectively, and maintains the efficiency of the approach it extends.

Creation of a web application for smart park system and parking prediction study for system integration

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.

UAV - based imagery processing using structure from motion and remote sensing technology

With the recent advances in technology and miniaturization of devices such as GPS or IMU, Unmanned Aerial Vehicles became a feasible platform for a Remote Sensing applications. The use of UAVs compared to the conventional aerial platforms provides a set of advantages such as higher spatial resolution of the derived products. UAV - based imagery obtained by a user grade cameras introduces a set of problems which have to be solved, e. g. rotational or angular differences or unknown or insufficiently precise IO and EO camera parameters. In this work, UAV - based imagery of RGB and CIR type was processed using two different workflows based on PhotoScan and VisualSfM software solutions resulting in the DSM and orthophoto products. Feature detection and matching parameters influence on the result quality as well as a processing time was examined and the optimal parameter setup was presented. Products of the both workflows were compared in terms of a quality and a spatial accuracy. Both workflows were compared by presenting the processing times and quality of the results. Finally, the obtained products were used in order to demonstrate vegetation classification. Contribution of the IHS transformations was examined with respect to the classification accuracy.