Perfil dos servidores da Universidade Federal do Espírito Santo com empréstimo consignado

O crédito consignado é uma modalidade de empréstimo cujo valor da parcela incide sobre o salário do devedor. Com alto índice de adesão nos últimos anos, é o meio de acesso ao crédito mais comum entre os servidores públicos, pelas baixas taxas de juros, entre outros atrativos, o que contribui para expor a risco seus vencimentos com dívidas. Buscando atender ao objetivo principal de identificar se características do perfil demográfico dos servidores ativos da Universidade Federal do Espírito Santo (UFES) estão relacionadas ao comprometimento de seus rendimentos com empréstimos consignados, foi realizada uma pesquisa de abordagem quantitativa, utilizando dados cadastrais e financeiros do ano de 2013 destes servidores, obtidos no banco de dados institucional e através da aplicação de questionários, dos quais totalizaram 210 tidos como válidos. Todas as informações foram tratadas por meio de recursos estatísticos, como análise descritiva dos dados, tabelas de contingências com interpretação do valor do qui-quadrado e regressão logística. Os resultados indicam que as variáveis escolaridade, renda, número de dependentes e gênero estão associadas ao comprometimento da renda com empréstimos consignados e que os homens, apesar de aparecerem em maior número entre os que aderem a esse tipo de empréstimo, comprometem menos seus rendimentos com ele, quando comparados às mulheres. Indivíduos do gênero feminino, com menor nível de escolaridade e renda mais baixa foram os mais propensos a adquirirem empréstimos descontados em folha. Por fim, apesar das análises apontarem que apenas a ausência de educação financeira não explica o alto comprometimento da renda com consignado, muitos dos entrevistados afirmaram não dominar o tema e se sentirem despreparados para administrarem suas finanças pessoais. Nesse sentido, o plano de intervenção proposto no objetivo e descrito ao final da pesquisa, sugere que a instituição invista na educação financeira dos servidores; preste apoio psicológico aos sobreendividados e proíba o estímulo ao consumo no ambiente de trabalho.

Eventos de vida em mulheres com diagnóstico de câncer de mama

Introdução: A relação entre eventos de vida e o surgimento e progressão do câncer de mama tem sido investigada por alguns estudos. Objetivo: Identificar os eventos de vida ocorridos em mulheres com diagnóstico de câncer de mama, examinar o tempo transcorrido entre o evento e o diagnóstico, examinar a associação entre a sobrecarga ocasionada pelo evento no momento da ocorrência e após o diagnóstico e examinar a associação entre metástase e eventos de vida pós diagnóstico de câncer de mama. Metodologia: Estudo transversal realizado no Hospital Santa Rita de Cássia, Vitória – ES. Compõe-se a amostra por 300 mulheres. Coletaram-se os dados no período de setembro a dezembro de 2014. Utilizou-se o instrumento Life Events Units – LEU/VAS que se baseia na Escala de Avaliação de Reajustamento Social de Holmes e Rahe, que no Brasil foi adaptada por Vasconcellos. Utilizou-se o Pacote Estatístico para Ciências Sociais (SPSS), versão 20.0, para calcular a frequência, média, mediana, desvio padrão e aplicar os testes não paramétrico de Wilcoxon e qui-quadrado. Resultados: A média de idade foi de 53 anos. Predominou-se mulheres de raça/cor não branca (65%), com menos de 8 anos de estudo (64%) e casadas (54%). Identificou-se que a maioria da amostra relatou pelo menos um evento de vida (99,3%). O principal evento de vida relatado foi morte de alguém na família. As medianas do tempo transcorrido entre os eventos de vida mais relatados e o diagnóstico de câncer de mama variaram de 5 a 15 anos. Observou-se diferença significante (p< 0,05) entre a sobrecarga ocasionada pelos eventos de vida nos dois momentos examinados. Em relação à metástase, 31,7% das que tiveram recidivas relataram um ou mais eventos de vida (p= 0,001). Quando considerado o tempo transcorrido entre o diagnóstico e o surgimento da metástase nas 46 mulheres, observou-se uma mediana de 18,0 meses. Conclusão: Os resultados deste estudo são potencialmente importantes, pois dão suporte a uma possível interação entre eventos de vida pós diagnóstico de câncer de mama e metástase. Estudos futuros são necessários para melhor compreensão desta relação.

MASCEM - an electricity market simulator providing coalition support for virtual power players

This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper details some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study based on real data.

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.

Desenvolvimento de um Controlador de Boundary Scan (Ieee 1149.1)

Mestrado em Engenharia Electrotécnica e de Computadores - Área de Especialização em Automação e Sistemas

Virtual Communities of Practice: Design and Development of Support Platforms and Participation Fostering

Mestrado em Engenharia Informática - Área de Especialização em Sistemas Gráficos e Multimédia

Data Mining Approach to support the Generation of Realistic Scenarios for Multi-Agent simulation of Electricity Markets

This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a multi-agent electricity markets simulator. The generation of realistic scenarios is performed using mechanisms for intelligent data analysis, which are based on artificial intelligence and data mining algorithms. These techniques allow the study of realistic scenarios, adapted to the existing markets, and improve the representation of market entities as software agents, enabling a detailed modeling of their profiles and strategies. This work contributes significantly to the understanding of the interactions between the entities acting in electricity markets by increasing the capability and realism of market simulations.

Salivary gland proteins of the human malaria vector, Anopheles dirus B (Diptera: Culicidae)

Salivary gland proteins of the human malaria vector, Anopheles dirus B were determined and analyzed. The amount of salivary gland proteins in mosquitoes aged between 3 - 10 days was approximately 1.08 ± 0.04 µg/female and 0.1 ± 0.05 µg/male. The salivary glands of both sexes displayed the same morphological organization as that of other anopheline mosquitoes. In females, apyrase accumulated in the distal regions, whereas alpha-glucosidase was found in the proximal region of the lateral lobes. This differential distribution of the analyzed enzymes reflects specialization of different regions for sugar and blood feeding. SDS-PAGE analysis revealed that at least seven major proteins were found in the female salivary glands, of which each morphological region contained different major proteins. Similar electrophoretic protein profiles were detected comparing unfed and blood-fed mosquitoes, suggesting that there is no specific protein induced by blood. Two-dimensional polyacrylamide gel analysis showed the most abundant salivary gland protein, with a molecular mass of approximately 35 kilodaltons and an isoelectric point of approximately 4.0. These results provide basic information that would lead to further study on the role of salivary proteins of An. dirus B in disease transmission and hematophagy.

Architecture to Support Quality of Service in Arrowhead Systems

Presented at INForum - Simpósio de Informática (INFORUM 2015). 7 to 8, Sep, 2015. Covilhã, Portugal.

Six thinking hats: A novel metalearner for intelligent decision support in electricity markets

The energy sector has suffered a significant restructuring that has increased the complexity in electricity market players' interactions. The complexity that these changes brought requires the creation of decision support tools to facilitate the study and understanding of these markets. The Multiagent Simulator of Competitive Electricity Markets (MASCEM) arose in this context, providing a simulation framework for deregulated electricity markets. The Adaptive Learning strategic Bidding System (ALBidS) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM, ALBidS considers several different strategic methodologies based on highly distinct approaches. Six Thinking Hats (STH) is a powerful technique used to look at decisions from different perspectives, forcing the thinker to move outside its usual way of thinking. This paper aims to complement the ALBidS strategies by combining them and taking advantage of their different perspectives through the use of the STH group decision technique. The combination of ALBidS' strategies is performed through the application of a genetic algorithm, resulting in an evolutionary learning approach.

A framework for supporting knowledge representation – an ontological based approach

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Toxicity of saponin isolated from Gymnema sylvestre R. Br. (Asclepiadaceae) against Culex tritaeniorhynchus Giles (Diptera: Culicidae) Japanese encephalitis vector mosquito in India

To determine the larvicidal activity of various extracts of Gymnema sylvestre against the Japanese Encephalitis vector, Culex tritaeniorynchus in Tamilnadu, India. To identify the active principle present in the promising fraction obtained in Chlorofom:Methanol extract of Fraction 2. The G. sylvestre leaf extracts were tested, employing WHO procedure against fourth instar larvae of C. tritaeniorhynchus and the larval mortalities were recorded at various concentrations (6.25, 12.5, 25.0, 50 and 100 µg/mL); the 24h LC50 values of the G. Sylvestre leaf extracts were determined following Probit analysis. It was noteworthy that treatment level 100 µg/mL exhibited highest mortality rates for the three different crude extracts and was significantly different from the mean mortalities recorded for the other concentrations. The LC50 values of 34.756 µg/mL (24.475-51.41), 31.351 µg/mL (20.634-47.043) and 28.577 µg/mL (25.159-32.308) were calculated for acetone, chloroform and methanol extract with the chi-square values of 10.301, 31.351 and 4.093 respectively. The present investigation proved that G. Sylvestre could be possibly utilized as an important component in the Vector Control Program.

Investigating the use of dasymetric techniques for assessing employment containment in Melbourne, Australia

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

CANINE VISCERAL LEISHMANIASIS CASE INVESTIGATION IN THE JACARE REGION OF NITEROI, RIO DE JANEIRO, BRAZIL

SUMMARY American visceral leishmaniasis is a vector-borne zoonosis in expansion in Brazil. Dogs are the main urban reservoir. Departing from a case of canine visceral leishmaniasis (CVL) in Jacaré, Niterói, Rio de Janeiro State, an epidemiological canine and entomological study was performed to assess the extension of the disease at the location. Sample was collected around the case and the dogs identified by serological tests (rapid double platform immunochromatographic exams, immunoenzymatic assay/ELISA, indirect immunofluorescence/IFAT). The parasitological diagnosis was performed in animals positive in at least one of these tests. The entomological study was carried out by using light traps and manual collection. The associations between canine variables and outcome (ELISA and IFAT reagents) were assessed by the chi-square test and adjusted by multivariate logistic regression for those associations with p < 0.1 in the bivariate analysis. Seventeen cases of CVL were detected among 110 evaluated dogs (prevalence of 15.5%). Presence of ectoparasites (OR 6.5; 95% CI 1.1-37.4), animals with clinical signs (OR 9.5; 95% CI 1.2-76.6), and previous cases of CVL in the same house (OR 17.9; 95% CI 2.2-147.1) were associated with the outcome. Lutzomyia longipalpiswas not detected. Our results are indicative of an ongoing transmission in the area.

Speed control of induction machine based on direct torque control method

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores