Rash after measles vaccination: laboratory analysis of cases reported in São Paulo, Brazil

OBJECTIVE: The clinical differential diagnosis of rash due to viral infections is often difficult, and misdiagnosis is not rare, especially after the introduction of measles and rubella vaccination. A study to determine the etiological diagnosis of exanthema was carried out in a group of children after measles vaccination. METHODS: Sera collected from children with rash who received measles vaccine were reported in 1999. They were analyzed for IgM antibodies against measles virus, rubella virus, human parvovirus B19 (HPV B19) using ELISA commercial techniques, and human herpes virus 6 (HHV 6) using immunofluorescence commercial technique. Viremia for each of those viruses was tested using a polimerase chain reaction (PCR). RESULTS: A total of 17 cases of children with exanthema after measles immunization were reported in 1999. The children, aged 9 to 12 months (median 10 months), had a blood sample taken for laboratory analysis. The time between vaccination and the first rash signs varied from 1 to 60 days. The serological results of those 17 children suspected of measles or rubella infection showed the following etiological diagnosis: 17.6% (3 in 17) HPV B19 infection; 76.5% (13 in 17) HHV 6 infection; 5.9% (1 in 17) rash due to measles vaccine. CONCLUSIONS: The study data indicate that infection due to HPV B19 or HHV 6 can be misdiagnosed as exanthema due to measles vaccination. Therefore, it is important to better characterize the etiology of rash in order to avoid attributing it incorrectly to measles vaccine.

Technology for creativity and innovation: tools, techniques and applications

It is widely accepted that organizations and individuals must be innovative and continually create new knowledge and ideas to deal with rapid change. Innovation plays an important role in not only the development of new business, process and products, but also in competitiveness and success of any organization. Technology for Creativity and Innovation: Tools, Techniques and Applications provides empirical research findings and best practices on creativity and innovation in business, organizational, and social environments. It is written for educators, academics and professionals who want to improve their understanding of creativity and innovation as well as the role technology has in shaping this discipline.

Relatório de estágio. Terapia manual ortopédica

Objectivo: Descrever a intervenção em fisioterapia aplicada num paciente com o diagnóstico de entorse da Tíbio-társica de grau III. Participantes e Métodos: Paciente que em 1 de Dezembro de 2009 na sequência de uma disputa de bola, sofreu uma entorse da tíbio-társica. Iniciou fisioterapia a 4 de Janeiro de 2010, tendo sido utilizadas para o tratamento técnicas de Mulligan, nomeadamente MWM, mobilização articular, reforço muscular e treino proprioceptivo. O tratamento foi realizado diariamente durante 6 semanas. Resultados: Após a aplicação das técnicas de Mulligan MWM na 1ªsemana, o perónio encontra-se devidamente reposicionado, no entanto o calcâneo ainda se encontra posteriorizado. No fim da 2ªsemana, a amplitude articular aumentou significativamente, aproximando-se dos valores do membro contralateral, verificouse um ganho de força muscular progressivo. Na 3ª e 4ª semana progrediu-se o tratamento em termos de fortalecimento muscular e treino proprioceptivo. Na 5ª semana apresentava amplitudes de movimento de 17º de dorsiflexão, 43º de flexãoplantar, 15º de eversão e 18º de inversão. Relativamente à força, o músculo tibial anterior apresentava um grau 5 de força, longo e curto peronial e flexores plantares grau 4+. No fim de 6 semanas, terminada a sua recuperação encontrava-se sem qualquer limitação funcional, igual força muscular bilateral e proprioceptividade normal. Conclusão: Foi salientado o processo de raciocínio clínico desenvolvido pelo fisioterapeuta ao longo das 6 semanas de intervenção: a recolha e interpretação dos dados da história, levantamento das primeiras hipóteses, testes dessas hipóteses no exame objectivo, estabelecimento de um diagnóstico funcional e construção e implementação de um plano de intervenção com a colaboração do utente que permitiram uma recuperação funcional que foi de encontro aos objectivos traçados.

Relatório de estágio em terapia manual

Objectivo: descrever a intervenção em fisioterapia numa paciente com diagnóstico de epicondilalgia. Participantes e Métodos: estudo de caso de uma paciente que desenvolveu um quadro doloroso no cotovelo esquerdo no início de Janeiro de 2010 e em que a intervenção de fisioterapia teve início no princípio de Fevereiro de 2010. Foi utilizada uma variedade de técnicas articulares, nomeadamente a mobilização com movimento de Mulligan, aplicação de tape e manipulação cervical. O tratamento foi realizado em dias alternados e teve a duração total de duas semanas. Resultados: logo no final da primeira sessão a paciente referiu melhoria na dor à preensão. Na segunda sessão a paciente demonstrou capacidade de realizar auto-mobilização com movimento em casa. A regressão dos sintomas foi muito rápida durante as duas primeiras sessões, passou por uma fase de estabilização da terceira à quinta sessão, até à completa remissão no fim da sexta sessão. Conclusão: o processo de raciocínio clínico desenvolvido pelo fisioterapeuta durante as seis sessões de tratamento foi salientado. Após a recolha dos dados relativos à história e sua interpretação levantaram-se as primeiras hipóteses: epicondilalgia, disfunção cervical ou sindroma do túnel radial. No exame objectivo foram realizados testes para permitir a obtenção do diagnóstico diferencial – epicondilalgia; elaborou-se então um plano de intervenção em colaboração a paciente, que se mostrou eficaz, com resultados acima das expectativas.

Diferenciação curricular para a inclusão de alunos com necessidade educativas especiais no 1º Ciclo do Ensino Básico

Um dos grandes desafios da atualidade reside em construir uma escola inclusiva para todos, respeitando as diferenças entre os alunos e procurando dar resposta a todas as suas necessidades educativas, através do acesso igualitário a uma educação de qualidade, no sentido de uma preparação para a vida social e profissional ao longo da vida. Desta forma, é necessária uma mudança não só na maneira de pensar como também nas práticas dos agentes educativos, no sentido de adequarem o currículo às necessidades educativas especiais dos alunos. O presente estudo constitui, pois, uma tentativa de conhecer não apenas as conceções dos professores do 1º Ciclo do Ensino Básico sobre a inclusão e as adaptações curriculares para alunos com NEE, mas também as práticas curriculares que desenvolvem quando têm estes alunos nas suas turmas. O trabalho desenvolveu-se através de um estudo de caso, incidindo sobre 6 professores do 1º CEB e respetivas turmas com alunos com NEE incluídos. Como metodologia de recolha de dados utilizámos as técnicas da entrevista, da análise documental e da observação naturalista em contexto de sala de aula. Articulando os resultados das entrevistas com os das observações em sala de aula, podemos concluir que, para que a escola seja efetivamente inclusiva, não basta que os professores adotem este conceito. Algumas das maiores dificuldades que se colocaram aos professores foram a gestão do tempo e a adequação de estratégias no atendimento a todos os alunos, o que decorre da forma de organização do ensino, uma vez que os professores continuam a percecionar o seu papel como transmissores de conteúdos e executores de programas, apostando num ensino unilateral e homogéneo. No entanto, foi possível também verificar algumas formas de diferenciação pedagógica, sobretudo através da adequação da estrutura dos trabalhos individuais, do apoio individualizado do professor aos alunos com mais dificuldades ou da tutoria interpares e da realização de diferentes atividades consoante as necessidades específicas de cada aluno.- ABSTRACT One of today´s main challenges lies on building an inclusive school for everyone, respecting students’ differences, giving an answer to their educational needs through equal access to qualified education, preparing them to their professional future and social life. Consequently, a change is necessary, not only in the way of thinking but also in the practices of the educational agents, to adequate the curriculum to the special educational students’ needs. The present study is an attempt to understand not only the conceptions of the elementary school teachers about the inclusion and the curricular adjustments for students with special educational needs, but also the curricular practices they develop when those students are included in their classes. This work was developed through a study case focused on six elementary school teachers and their respective classes with students with special educational needs included. The data collection methods used were interview techniques, documental analysis and context observation in classroom. Articulating the interview results with the classroom observations we can conclude that for a school to be effectively inclusive, the adoption of those conceptions are not enough. Some of the major difficulties that appear to the teachers were time management and adequate strategies on attending all students, which follows from their teaching organization, since teachers are still carrying their role as pure contents transmitters and programs implementers, investing in a unilateral and homogeneous education. However, it was also possible to ascertain some pedagogical differentiation strategies, mainly through individual work adaptation, direct and individualized teacher’s support to students with more difficulties or by peer tutoring as well as carrying out different activities depending on the specific needs of each student.

HTLV-I/II and blood donors: determinants associated with seropositivity in a low risk population

OBJECTIVE: Blood donors in Brazil have been routinely screened for HTLV-I/II since 1993. A study was performed to estimate the prevalence of HTLV-I/II infection in a low risk population and to better understand determinants associated with seropositivity. METHODS: HTLV-I/II seropositive (n=135), indeterminate (n=167) and seronegative blood donors (n=116) were enrolled in an open prevalence prospective cohort study. A cross-sectional epidemiological study of positive, indeterminate and seronegative HTLV-I/II subjects was conducted to assess behavioral and environmental risk factors for seropositivity. HTLV-I/II serological status was confirmed using enzyme-linked immunosorbent assay (EIA) and Western blot (WB). RESULTS: The three groups were not homogeneous. HTLV-I/II seropositivity was associated to past blood transfusion and years of schooling, a marker of socioeconomic status, and use of non-intravenous illegal drugs. CONCLUSIONS: The study results reinforce the importance of continuous monitoring and improvement of blood donor selection process.

Direct multisearch for multiobjective optimization

In practical applications of optimization it is common to have several conflicting objective functions to optimize. Frequently, these functions are subject to noise or can be of black-box type, preventing the use of derivative-based techniques. We propose a novel multiobjective derivative-free methodology, calling it direct multisearch (DMS), which does not aggregate any of the objective functions. Our framework is inspired by the search/poll paradigm of direct-search methods of directional type and uses the concept of Pareto dominance to maintain a list of nondominated points (from which the new iterates or poll centers are chosen). The aim of our method is to generate as many points in the Pareto front as possible from the polling procedure itself, while keeping the whole framework general enough to accommodate other disseminating strategies, in particular, when using the (here also) optional search step. DMS generalizes to multiobjective optimization (MOO) all direct-search methods of directional type. We prove under the common assumptions used in direct search for single objective optimization that at least one limit point of the sequence of iterates generated by DMS lies in (a stationary form of) the Pareto front. However, extensive computational experience has shown that our methodology has an impressive capability of generating the whole Pareto front, even without using a search step. Two by-products of this paper are (i) the development of a collection of test problems for MOO and (ii) the extension of performance and data profiles to MOO, allowing a comparison of several solvers on a large set of test problems, in terms of their efficiency and robustness to determine Pareto fronts.

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

Identification of tsunami-induced deposits using numerical modeling and rock magnetism techniques: Astudy case of the 1755 Lisbon tsunami in Algarve, Portugal (vol 182, pg 187, 2010)

Storm- and tsunami-deposits are generated by similar depositional mechanisms making their discrimination hard to establish using classic sedimentologic methods. Here we propose an original approach to identify tsunami-induced deposits by combining numerical simulation and rock magnetism. To test our method, we investigate the tsunami deposit of the Boca do Rio estuary generated by the 1755 earthquake in Lisbon which is well described in the literature. We first test the 1755 tsunami scenario using a numerical inundation model to provide physical parameters for the tsunami wave. Then we use concentration (MS. SIRM) and grain size (chi(ARM), ARM, B1/2, ARM/SIRM) sensitive magnetic proxies coupled with SEM microscopy to unravel the magnetic mineralogy of the tsunami-induced deposit and its associated depositional mechanisms. In order to study the connection between the tsunami deposit and the different sedimentologic units present in the estuary, magnetic data were processed by multivariate statistical analyses. Our numerical simulation show a large inundation of the estuary with flow depths varying from 0.5 to 6 m and run up of similar to 7 m. Magnetic data show a dominance of paramagnetic minerals (quartz) mixed with lesser amount of ferromagnetic minerals, namely titanomagnetite and titanohematite both of a detrital origin and reworked from the underlying units. Multivariate statistical analyses indicate a better connection between the tsunami-induced deposit and a mixture of Units C and D. All these results point to a scenario where the energy released by the tsunami wave was strong enough to overtop and erode important amount of sand from the littoral dune and mixed it with reworked materials from underlying layers at least 1 m in depth. The method tested here represents an original and promising tool to identify tsunami-induced deposits in similar embayed beach environments.

Trypanosoma cruzi prevalence and clinical forms in blood donor candidates in Brazil

The prevalence and clinical forms of Trypanosoma cruzi were evaluated among blood donor candidates attended at a general hospital in Rio de Janeiro, Brazil, from January 1997 to April 1999. The investigation was done by means of the indirect hemagglutination test and was confirmed via ELISA. Data were collected from clinical examinations, conventional electrocardiogram, chest radiography and echocar-diography. The results showed that despite Trypanosoma cruzi prevalence of 1.17% (128 patients), mainly in males aged 40 years or over, 70.8% of these patients, mainly males aged 19 to 39 years, demonstrated abnormalities that allowed the diagnosis of cardiopathy and/or esophagopathy. This once again corroborates the importance of Trypanosoma cruzi infection in urban centers.

Adaptive tool for automatic data collection of real electricity markets

The study of electricity markets operation has been gaining an increasing importance in last years, as result of the new challenges that the electricity markets restructuring produced. This restructuring increased the competitiveness of the market, but with it its complexity. The growing complexity and unpredictability of the market’s evolution consequently increases the decision making difficulty. Therefore, the intervenient entities are forced to rethink their behaviour and market strategies. Currently, lots of information concerning electricity markets is available. These data, concerning innumerous regards of electricity markets operation, is accessible free of charge, and it is essential for understanding and suitably modelling electricity markets. This paper proposes a tool which is able to handle, store and dynamically update data. The development of the proposed tool is expected to be of great importance to improve the comprehension of electricity markets and the interactions among the involved entities.

Data mining techniques to support the classification of MV electricity customers

This paper describes a methodology that was developed for the classification of Medium Voltage (MV) electricity customers. Starting from a sample of data bases, resulting from a monitoring campaign, Data Mining (DM) techniques are used in order to discover a set of a MV consumer typical load profile and, therefore, to extract knowledge regarding to the electric energy consumption patterns. In first stage, it was applied several hierarchical clustering algorithms and compared the clustering performance among them using adequacy measures. In second stage, a classification model was developed in order to allow classifying new consumers in one of the obtained clusters that had resulted from the previously process. Finally, the interpretation of the discovered knowledge are presented and discussed.

Natural gas system operation: lagrangean optimization techniques

To comply with natural gas demand growth patterns and Europe´s import dependency, the gas industry needs to organize an efficient upstream infrastructure. The best location of Gas Supply Units – GSUs and the alternative transportation mode – by phisical or virtual pipelines, are the key of a successful industry. In this work we study the optimal location of GSUs, as well as determining the most efficient allocation from gas loads to sources, selecting the best transportation mode, observing specific technical restrictions and minimizing system total costs. For the location of GSUs on system we use the P-median problem, for assigning gas demands nodes to source facilities we use the classical transportation problem. The developed model is an optimisation-based approach, based on a Lagrangean heuristic, using Lagrangean relaxation for P-median problems – Simple Lagrangean Heuristic. The solution of this heuristic can be improved by adding a local search procedure - the Lagrangean Reallocation Heuristic. These two heuristics, Simple Lagrangean and Lagrangean Reallocation, were tested on a realistic network - the primary Iberian natural gas network, organized with 65 nodes, connected by physical and virtual pipelines. Computational results are presented for both approaches, showing the location gas sources and allocation loads arrangement, system total costs and gas transportation mode.

Using data mining techniques to support DR programs definition in smart grids

In recent years, Power Systems (PS) have experimented many changes in their operation. The introduction of new players managing Distributed Generation (DG) units, and the existence of new Demand Response (DR) programs make the control of the system a more complex problem and allow a more flexible management. An intelligent resource management in the context of smart grids is of huge important so that smart grids functions are assured. This paper proposes a new methodology to support system operators and/or Virtual Power Players (VPPs) to determine effective and efficient DR programs that can be put into practice. This method is based on the use of data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 32 bus distribution network.

Demand response programs definition supported by clustering and classification techniques

The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.