Use of quantitative structure-property relationships to study the solvation process of 18-crown-6

Solution enthalpies of 18-crown-6 have been obtained for a set of 14 protic and aprotic solvents at 298.15 K. The complementary use of Solomonov's methodology and a QSPR-based approach allowed the identification of the most significant solvent descriptors that model the interaction enthalpy contribution of the solution process (Delta H-int(A/S)). Results were compared with data previously obtained for 1,4-dioxane. Although the interaction enthalpies of 18-crown-6 correlate well with those of 1,4-dioxane, the magnitude of the most relevant parameters, pi* and beta, is almost three times higher for 18-crown-6. This is rationalized in terms of the impact of the solute's volume in the solution processes of both compounds. (C) 2015 Elsevier B.V. All rights reserved.

Estimation of signal subspace on hyperspectral data

Dimensionality reduction plays a crucial role in many hyperspectral data processing and analysis algorithms. This paper proposes a new mean squared error based approach to determine the signal subspace in hyperspectral imagery. The method first estimates the signal and noise correlations matrices, then it selects the subset of eigenvalues that best represents the signal subspace in the least square sense. The effectiveness of the proposed method is illustrated using simulated and real hyperspectral images.

Hyperspectral signal subspace estimation

Given an hyperspectral image, the determination of the number of endmembers and the subspace where they live without any prior knowledge is crucial to the success of hyperspectral image analysis. This paper introduces a new minimum mean squared error based approach to infer the signal subspace in hyperspectral imagery. The method, termed hyperspectral signal identification by minimum error (HySime), is eigendecomposition based and it does not depend on any tuning parameters. It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. The effectiveness of the proposed method is illustrated using simulated data based on U.S.G.S. laboratory spectra and real hyperspectral data collected by the AVIRIS sensor over Cuprite, Nevada.

Modified Discrete PSO to Increase the Delivered Energy Probability in Distribution energy Systems

This paper proposes a PSO based approach to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The statistical failure and repair data of distribution components is the main basis of the proposed methodology that uses a fuzzyprobabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A Modified Discrete PSO optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.

Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi- Agent System for Competitive Electricity Markets), which simulates the electricity markets environment. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. This paper presents the application of a Support Vector Machines (SVM) based approach to provide decision support to electricity market players. This strategy is tested and validated by being included in ALBidS and then compared with the application of an Artificial Neural Network, originating promising results. The proposed approach is tested and validated using real electricity markets data from MIBEL - Iberian market operator.

Lettuce (Lactuca sativa L.) leaf-proteome profiles after exposure to cylindrospermopsin and a microcystin-LR/cylindrospermopsin mixture: A concentration-dependent response

The intensification of agricultural productivity is an important challenge worldwide. However, environmental stressors can provide challenges to this intensification. The progressive occurrence of the cyanotoxins cylindrospermopsin (CYN) and microcystin-LR (MC-LR) as a potential consequence of eutrophication and climate change is of increasing concern in the agricultural sector because it has been reported that these cyanotoxins exert harmful effects in crop plants. A proteomic-based approach has been shown to be a suitable tool for the detection and identification of the primary responses of organisms exposed to cyanotoxins. The aim of this study was to compare the leaf-proteome profiles of lettuce plants exposed to environmentally relevant concentrations of CYN and a MC-LR/CYN mixture. Lettuce plants were exposed to 1, 10, and 100 lg/l CYN and a MC-LR/CYN mixture for five days. The proteins of lettuce leaves were separated by twodimensional electrophoresis (2-DE), and those that were differentially abundant were then identified by matrix-assisted laser desorption/ionization time of flight-mass spectrometry (MALDI-TOF/TOF MS). The biological functions of the proteins that were most represented in both experiments were photosynthesis and carbon metabolism and stress/defense response. Proteins involved in protein synthesis and signal transduction were also highly observed in the MC-LR/CYN experiment. Although distinct protein abundance patterns were observed in both experiments, the effects appear to be concentration-dependent, and the effects of the mixture were clearly stronger than those of CYN alone. The obtained results highlight the putative tolerance of lettuce to CYN at concentrations up to 100 lg/l. Furthermore, the combination of CYN with MC-LR at low concentrations (1 lg/l) stimulated a significant increase in the fresh weight (fr. wt) of lettuce leaves and at the proteomic level resulted in the increase in abundance of a high number of proteins. In contrast, many proteins exhibited a decrease in abundance or were absent in the gels of the simultaneous exposure to 10 and 100 lg/l MC-LR/CYN. In the latter, also a significant decrease in the fr. wt of lettuce leaves was obtained. These findings provide important insights into the molecular mechanisms of the lettuce response to CYN and MC-LR/CYN and may contribute to the identification of potential protein markers of exposure and proteins that may confer tolerance to CYN and MC-LR/CYN. Furthermore, because lettuce is an important crop worldwide, this study may improve our understanding of the potential impact of these cyanotoxins on its quality traits (e.g., presence of allergenic proteins).

O impacto económico da obesidade em Portugal : custos directos com internamento

RESUMO - A prevalência da obesidade não teve alterações significativas em Portugal. Uma vez que os recursos são escassos e é cada vez mais premente distribuí-los de forma racional, torna-se importante conhecer o impacto económico da obesidade para o país e perceber se os custos se alteraram. Objectivo: Actualizar, à luz de evidência mais recente, a estimativa dos custos directos com internamento hospitalar atribuíveis à obesidade, em Portugal, no ano 2008. Metodologia: Foi estimado o custo directo da obesidade, na componente internamento, a partir da metodologia custo da doença, utilizando uma abordagem baseada na prevalência. Os dados da prevalência advém do estudo epidemiológico mais recente em Portugal (14,4%). Os valores de risco relativo utilizados provêm da meta análise epidemiológica mais completa. Foi calculado, a partir destes dados, o risco atribuível populacional (RAP) de cada patologia. Através da base de dados nacional dos episódios de internamento, fez-se uma pesquisa de todos os episódios de internamento relativos às comorbilidades associadas à obesidade e aplicou-se o respectivo RAP. Com base na portaria n.º 839-A/2009 de 31 Julho atribuíramse os custos. Resultados: Os custos directos com a obesidade, na componente internamento, no ano 2008 foram de 85,9 milhões de euros, o que corresponde a 0,92% da despesa total em saúde. Os três maiores contribuintes para esta despesa são as patologias do sistema circulatório e cerebrovascular, a osteoartrite e os episódios relativos ao tratamento da obesidade em si. Conclusões: O impacto económico relativo ao internamento da obesidade diminuiu em Portugal. Este estudo surge então, como ponto de partida para estudar os custos totais com a obesidade e a efectividade das estratégias de prevenção.

Recomendação de cuidados de saúde

Atualmente, os guias turísticos são constituídos por diversos módulos, nomeadamente, módulos de recomendação e de modelação do utilizador. Estes ajudam a adaptar melhor as recomendações dadas ao utilizador de acordo com as suas preferências. A necessidade de adaptar os guias turísticos às possíveis necessidades de saúde do utilizador, foi a motivação para a realização desta dissertação. Quando alguém visita um local desconhecido, considera normalmente as condições tanto de alojamento como de alimentação desse local. Contudo, se por algum motivo, necessita de cuidados de saúde, essa pessoa não se encontra preparada para isso. Assim, a recomendação de uma instituição de saúde direcionada para o turista é uma solução possível para o problema encontrado. Pretendeu-se desenvolver um módulo de recomendação híbrido no âmbito da prestação de informações relacionadas com as possíveis necessidades de saúde do turista, tendo em conta o seu perfil. Para a sua implementação seguiu-se a abordagem baseada em conteúdo e técnicas de classificação das instituições de saúde a recomendar ao utilizador. O protótipo desenvolvido foi testado com alguns utilizadores em termos de funcionalidades. Finalmente, pretende-se que o protótipo seja testado com mais utilizadores, possuidores de diversas características em termos de condições de mobilidade, historial clínico e necessidades. Estes testes irão permitir avaliar o protótipo ao nível da qualidade da recomendação prestada. Poder-se-á, assim, atingir o objetivo relativo à integração deste protótipo num sistema de recomendação de apoio ao turista utilizado pela Câmara Municipal do Porto.

Comparative analysis of two-dimensional electrophoresis maps (2-DE) of Helicobacter pylori from Brazilian patients with chronic gastritis and duodenal ulcer: a preliminary report

Helicobacter pylori is a bacterium recognized as the major cause of peptic ulcer and chronic gastritis. Recently, a proteome-based approach was developed to investigate pathogenic factors related to H. pylori. In this preliminary study, H. pylori strains were isolated from gastric biopsies of patients with chronic gastritis and duodenal ulcers. A partial proteomic analysis of H. pylori strains was performed by bacterial lyses and proteins were separated by two-dimensional gel electrophoresis (2-DE). A comparative analysis was performed to verify a differential protein expression between these two 2-DE maps. These data should be useful to clarify the role of different proteins related to bacterial pathogenesis. This study will be completed using a larger number of samples and protein identification of H. pylori by MALDI-TOF mass spectrometry.

High prevalence of malaria infection in Amazonas state, Venezuela

This study was carried out to determine the incidence of malaria in an endemic region of Amazonas State, Venezuela. For this, 200 random samples were collected from symptomatic and asymptomatic individuals from San Fernando de Atabapo and Santa Barbara. Epidemiological factors were related to malaria infection, which was diagnosed by microscopy observation and amplification of the 18S rDNA sequence by PCR. Malaria prevalence in these populations was 28.5%, whilst P. vivax and P. falciparum prevalences were 12 and 17%, respectively. No infection by P. malariae was found. A mixed infection was found on an asymptomatic individual. Prevalence patterns differed between age groups depending on the Plasmodium species. We found that 34.8% of the P. vivax and 15.2% of the P. falciparum infections were asymptomatic. The use of nets was helpful to prevent P. vivax infection, but did not protect against P. falciparum infection. The results suggest the presence of more than one mosquito vector in the area, displaying a differential pattern of infection for each Plasmodium species. There appear to be risk factors associated with malaria infections in some individuals. The population based approach and PCR diagnosis improved the accuracy of the statistical analysis in the study.

XATA 2010 : XML : Associated Technologies and Applications, 8th

These are the proceedings for the eighth national conference on XML, its Associated Technologies and its Applications (XATA'2010). The paper selection resulted in 33% of papers accepted as full papers, and 33% of papers accepted as short papers. While these two types of papers were distinguish during the conference, and they had different talk duration, they all had the same limit of 12 pages. We are happy that the selected papers focus both aspects of the conference: XML technologies, and XML applications. In the first group we can include the articles on parsing and transformation technologies, like “Processing XML: a rewriting system approach", “Visual Programming of XSLT from examples", “A Refactoring Model for XML Documents", “A Performance based Approach for Processing Large XML Files in Multicore Machines", “XML to paper publishing with manual intervention" and “Parsing XML Documents in Java using Annotations". XML-core related papers are also available, focusing XML tools testing on “Test::XML::Generator: Generating XML for Unit Testing" and “XML Archive for Testing: a benchmark for GuessXQ". XML as the base for application development is also present, being discussed on different areas, like “Web Service for Interactive Products and Orders Configuration", “XML Description for Automata Manipulations", “Integration of repositories in Moodle", “XML, Annotations and Database: a Comparative Study of Metadata Definition Strategies for Frameworks", “CardioML: Integrating Personal Cardiac Information for Ubiquous Diagnosis and Analysis", “A Semantic Representation of Users Emotions when Watching Videos" and “Integrating SVG and SMIL in DAISY DTB production to enhance the contents accessibility in the Open Library for Higher Education". The wide spread of subjects makes us believe that for the time being XML is here to stay what enhances the importance of gathering this community to discuss related science and technology. Small conferences are traversing a bad period. Authors look for impact and numbers and only submit their works to big conferences sponsored by the right institutions. However the group of people behind this conference still believes that spaces like this should be preserved and maintained. This 8th gathering marks the beginning of a new cycle. We know who we are, what is our identity and we will keep working to preserve that. We hope the publication containing the works of this year's edition will catch the same attention and interest of the previous editions and above all that this publication helps in some other's work. Finally, we would like to thank all authors for their work and interest in the conference, and to the scientific committee members for their review work.

Microalgas: do tratamento de efluentes para a biorrefinaria

Partes do presente trabalho foram submetidas para publicação: Subcapítulo 5.1 Graça, S., Sousa, C., Ambrosano, L., Hall, L., Oliveira, A.C., Ribeiro, B., Gouveia, L. (2014); Production of valuable microalgal biomass by treating Urban Wastewater. Submetido Algal Research (Ref. No.: ALGAL-D-14-00148) Subcapítulo 5.7 Batista, A.P., Ambrosano, L., Graça, S., Sousa, C., Marques, P., Ribeiro, B., Botrel, E., Neto, P. e Gouveia, L. (2014); Combining urban wastewater with biohydrogen production - an integrated microalgae-based approach; Bioresource Technology (Ref. No.: BITE-D-14-04819)

Reactive hybrid knowledge bases

Hybrid knowledge bases are knowledge bases that combine ontologies with non-monotonic rules, allowing to join the best of both open world ontologies and close world rules. Ontologies shape a good mechanism to share knowledge on theWeb that can be understood by both humans and machines, on the other hand rules can be used, e.g., to encode legal laws or to do a mapping between sources of information. Taking into account the dynamics present today on the Web, it is important for these hybrid knowledge bases to capture all these dynamics and thus adapt themselves. To achieve that, it is necessary to create mechanisms capable of monitoring the information flow present on theWeb. Up to today, there are no such mechanisms that allow for monitoring events and performing modifications of hybrid knowledge bases autonomously. The goal of this thesis is then to create a system that combine these hybrid knowledge bases with reactive rules, aiming to monitor events and perform actions over a knowledge base. To achieve this goal, a reactive system for the SemanticWeb is be developed in a logic-programming based approach accompanied with a language for heterogeneous rule base evolution having as its basis RIF Production Rule Dialect, which is a standard for exchanging rules over theWeb.

Prevalence of Neisseria gonorrhoeae and Chlamydia trachomatis infection in men attending STD clinics in Brazil

INTRODUCTION: The study aimed to assess the prevalence of Neisseria gonorrhoeae and Chlamydia trachomatis infections and identify demographic, behavioral and clinical factors correlated withsuch infections in men attending six sexually transmitted disease clinics in Brazil. METHODS: Multicentric, cross-sectional study performed among men attending STD clinics in Brazil. The study included STD clinics in six cities distributed throughout the five geographic regions of Brazil in 2005. Patients provided 20 ml of first catch urine for testing for NG and CT by DNA-PCR. RESULTS: A total of 767 (92.9%) men were included in the study. The mean age was 26.5 (SD 8.3) years-old. Prevalence of Chlamydia infection was 13.1% (95%CI 10.7%-15.5%) and gonorrhea was 18.4% (95%CI 15.7%-21.1%). Coinfection prevalence was 4.4% (95%CI 2.95%-5.85%) in men who sought attendance in STI clinics. Factors identified as associated with C. trachomatis were younger age (15-24) [OR=1.4 (95%CI 1.01-1.91)], present urethral discharge [OR=4.8 (95%CI 1.52-15.05)], genital warts [OR=3.0 (95%CI 1.49-5.92)] and previous history of urethral discharge [OR=2.4 (95%CI 1.11-5.18)]. Variables associated with gonorrhea were younger age (15 to 24) [OR=1.5 (95%CI 1.09-2.05)], presence of urethral discharge [OR=9.9 (95%CI 5.53-17.79)], genital warts [OR=18.3 (95%CI 8.03-41.60)] and ulcer present upon clinical examination [OR=4.9 (95%CI 1.06-22.73)]. CONCLUSIONS: These findings have important implications for education and prevention actions directed toward men at risk of HIV/STD. A venue-based approach to offer routine screening for young men in STD clinics should be stimulated.

Marine Protected Areas (MPAs): Methodologies for assessment

Marine Protected Areas are an effective way of protecting biodiversity, with potential socio-economic benefits including the enhancement of local fisheries and maintenance of ecosystem services. However, local fishing communities often fear short-term revenue losses and thus may oppose marine protected areas creation. This work includes a review of the need of having management effectiveness evaluation and its importance in providing useful information for stakeholders. Therefore, evaluation methodologies are presented and assessed in order to suggest possible approaches to the Berlengas MPA. In this case, an indicator-based approach can be relevant as a starting point, providing already some insights about the management effectiveness of Berlengas MPA. It also supports the development of a more ambitious approach such as a bio-economic model.