Prevalência de cárie dentária em crianças aos doze anos de idade, em localidades do Estado de São Paulo, Brasil, período 1990-1995

INTRODUÇÃO: A cárie dentária é a doença de maior prevalência da cavidade bucal gerando graves conseqüências econômicas e sociais. Estudos de prevalência de cárie dentária devem ser realizados periodicamente para o adequado planejamento das ações e serviços de saúde bucal. Assim, objetivou-se realizar estudo para conhecer a prevalência da cárie dentária em municípios do Estado de São Paulo, Brasil, medida através do índice CPO-D, na idade-índice de 12 anos, no período 1990-1995. MATERIAL E MÉTODO: Foram utilizados dados produzidos originalmente por secretarias ou departamentos municipais de saúde, obtidos através de instrumento concebido para essa finalidade, encaminhado aos 625 municípios do Estado de São Paulo, agrupados segundo o seu tipo e a região geográfica a que pertencem. RESULTADOS: Do total de 625 municípios, 237 (37,9%) atenderam à solicitação de informações e 125 (20,0%) dispunham de dados sobre o CPO-D, correspondendo a cerca de 5 mil crianças de 12 anos examinadas. O estudo revelou que em apenas 4,0% dos municípios a prevalência de cárie dentária é baixa, sendo alta ou muito alta em cerca de 80,0%. A variação nos valores do índice CPO-D ficou entre 1,3 e 13,6 e a média estimada para o Estado de São Paulo foi 4,8. Constatou-se ainda que os "grandes" municípios registraram 54,6% das suas populações enquadrando-se nas categorias de baixa ou moderada prevalência de cárie enquanto nos "pequenos" municípios 87,8% da população correspondiam às faixas de alta ou muito alta prevalência de cárie. CONCLUSÕES: A pesquisa evidenciou que os serviços municipais de saúde bucal, no estado de São Paulo, pouco tem se utilizado dos recursos básicos que a epidemiologia pode oferecer, indicando a necessidade de uma adequada formação de profissionais de saúde bucal na área de epidemiologia, em especial aqueles que exercem atividades de coordenação de serviços.

Susceptibilidade larval de duas populações de Aedes egypti a inseticidas químicos

OBJETIVO: A susceptibilidade dos insetos tem sido um dos mais importantes aspectos a ser monitorados em programas de saúde pública que tratam do controle de vetores. O estudo objetiva avaliar a susceptibilidade de larvas de Aedes aegypti a inseticidas químicos em áreas sujeitas ou não a controle. MÉTODOS: Bioensaios foram realizados com concentração de diagnóstico e concentração múltipla, segundo padrão da Organização Mundial de Saúde para as coletas de larvas de Aedes aegypti, em uma área não sujeita -- Campinas, SP -- e em uma outra área sujeita -- Campo Grande, MS -- a tratamentos químicos de controle. RESULTADOS: Larvas de Aedes aegypti coletadas em Campinas indicaram resistência potencial à concentração-diagnóstico (CD) de 0,04 ppm do organofosforado temephos. O teste de concentração múltipla registrou sobrevivência de 24,5% à concentração de 0,0125 ppm. A susceptibilidade dessa mesma linhagem foi avaliada para o organofosforado fenitrothion (CD=0,08 ppm) e o piretróide cipermetrina (CD=0,01 ppm), resultando em valores normais para essas concentrações. Larvas de Ae. aegypti coletadas em Campo Grande mostraram susceptibilidade normal ao temephos (CD=0,04 ppm) e à cipermetrina (CD=0,01 ppm). Também foram estabelecidas as CL50 e as CL95 de cipermetrina 25 CE, cyfluthrin 5 CE, betacyfluthrin 1,25 SC e propoxur 20 CE para Ae. aegypti. Com base nos dados da linhagem-padrão Rockefeller, foram estimadas as razões de resistência de 2,9, 2,2, 2,4 e 1,3, respectivamente, pela CL50, e de 3,5, 2,6, 3,9 e 1,3 pela CL95. CONCLUSÃO: Os resultados reforçam a necessidade de avaliações prévias e monitoramento da efetividade dos inseticidas que devem ser usados em programas de controle de mosquitos.

Tuberculosis en la Ciudad de la Habana, 1995-1999

OBJETIVO: La tuberculosis es un importante problema mundial de salud que recibe una atención priorizada del Sistema de Salud Cubano. Lo objetivo del trabajo es describir el comportamiento de los indicadores del Programa de Control de Tuberculosis cubano. MÉTODOS: A partir de una revisión de los documentos de la vigilancia de la tuberculosis en los registros del Centro Provincial de Higiene y Epidemiología se expone la infraestructura sanitaria, las estrategias del Programa de Control en la ciudad, se describen las tasas de incidencia, indicadores de localización, diagnóstico y manejo de casos. RESULTADOS: Se hallaron 8 sintomáticos respiratorios por cada mil consultantes de medicina general; la tasa de incidencia de tunerculosis en todas sus formas descendió de 16,4 (1995) a 12,0x105 habitantes (1999); la tuberculosis pulmonar descendió de 15,1 a 10,45 habitantes mientras la tuberculosis extrapulmonar ascendió de 1,3 a 1,6 x 105 habitantes, en igual período. Del total de los casos nuevos, el 40-50% fueron identificados en los policlínicos, el 67% fueron diagnosticados por baciloscopías, el 15,2% por cultivos, el 13.8% sólo por evidencias clínicas y radiológicas; el 0,9% y el 1,5%, respectivamente, fueron diagnosticados por biopsia o hallazgos de necropsia. Los grupos de 15-64 años incrementaron su incidencia en 1996-1997 y disminuyeron en 1998-1999; los casos >64 años de edad disminuyeron progresivamente de 1995 a 1999; en general, la tasa de incidencia de casos disminuyó. La demora promedio entre primeros síntomas y diagnóstico mejoró de 42 días en 1995 a 28,6 en 1999. CONCLUSIONES: La reversión de la tendencia de la notificación de casos nuevos parece haberse detenido en 1996. La situación de los indicadores de tuberculosis revelan cambios satisfactorios en el período analizado.

Confiabilidade e validade da palidez palmar e de conjuntivas como triagem de anemia

OBJETIVO: Avaliar a confiabilidade e a validade do uso de sinais clínicos simples de palidez palmar e de conjuntivas, como método para triagem de anemia. MÉTODOS: Estudo realizado em uma creche municipal de São Paulo, SP, com 135 crianças >3 meses e <6 anos. Utilizaram-se resultados do nível de hemoglobina, e avaliação dos sinais clínicos de palidez palmar e de conjuntivas. Considerou-se anêmica a criança com hemoglobina <11,0 g/dl e utilizaram-se critérios subjetivos para classificar a palidez palmar e de conjuntivas. Para verificação de concordância utilizou-se a estatística Kappa e, para avaliar a validade, calcularam-se a sensibilidade e a especificidade da técnica. RESULTADOS: Os resultados indicaram baixa concordância. Houve uma maior sensibilidade para a palidez da conjuntiva em relação à palidez palmar e baixa sensibilidade em relação ao diagnóstico de anemia. Os resultados para especificidade podem ser considerados bons. CONCLUSÕES: É prematuro recomendar a utilização da técnica como rotina, porém, desde que aprimorada, pode representar economia de recursos.

Personalized sightseeing tours support using mobile devices

In this paper, we present PSiS (Personalized Sightseeing Tours Recommendation System) Mobile. PSiS Mobile is our proposal to a mobile recommendation and planning support system, which is designed to provide effective support during the tourist visit with context-aware information and recommendations about places of interest (POI), exploiting tourist preferences and context.

MASDSheGATS – Scheduling System for Dynamic Manufacturing Environments

This chapter addresses the resolution of scheduling in manufacturing systems subject to perturbations. The planning of Manufacturing Systems involves frequently the resolution of a huge amount and variety of combinatorial optimisation problems with an important impact on the performance of manufacturing organisations. Examples of those problems are the sequencing and scheduling problems in manufacturing management, routing and transportation, layout design and timetabling problems.

Solubility of red 153 and blue 1 in supercritical carbon dioxide

Solubilities of red 153, (3-[[4-[[5,6(or 6,7)-dichloro-2-benzothiazolyl]azo]phenyl]ethylamino]propanenitrile), an azo compound, and disperse blue1 (1,4,5,8-tetraaminoantraquinone) in supercritical carbon dioxide (SC CO(2)) were measured at T = (333.2 to 393.2) K over the pressure range (12.0 to 40.0) MPa by a flow type apparatus. The solubility of red 153 (0.985. 10(-6) to 37.2. 10(-6)) in the overall region of measurements is found to be significantly higher than that of disperse blue 1 (1.12.10(-7) to 4.89.10(-7)). The solubility behavior of disperse red 153 follows the general solubility trend displayed by disperse dyes with a crossover pressure at about 20 MPa. On the other hand, blue 1, which is a disperse anthraquinone dye, exhibits unexpected behavior not recorded previously there is no crossover pressure at the temperature and pressure ranges studied, and the dye's solubility at T = 333.2 K practically does not increase with pressure. To the best of our knowledge, there are no previous measurements of blue 1 solubility in SC CO(2) reported in the literature. The experimental data were correlated by using the Soave Redlich Kwong equation of state (EoS) with the one-fluid van der Waals mixing rule, and an acceptable correlation of the solubility data for both dyes was obtained.

Symbolic Knowledge Extraction from Trained Neural Networks Governed by Lukasiewicz Logics

This work describes a methodology to extract symbolic rules from trained neural networks. In our approach, patterns on the network are codified using formulas on a Lukasiewicz logic. For this we take advantage of the fact that every connective in this multi-valued logic can be evaluated by a neuron in an artificial network having, by activation function the identity truncated to zero and one. This fact simplifies symbolic rule extraction and allows the easy injection of formulas into a network architecture. We trained this type of neural network using a back-propagation algorithm based on Levenderg-Marquardt algorithm, where in each learning iteration, we restricted the knowledge dissemination in the network structure. This makes the descriptive power of produced neural networks similar to the descriptive power of Lukasiewicz logic language, minimizing the information loss on the translation between connectionist and symbolic structures. To avoid redundance on the generated network, the method simplifies them in a pruning phase, using the "Optimal Brain Surgeon" algorithm. We tested this method on the task of finding the formula used on the generation of a given truth table. For real data tests, we selected the Mushrooms data set, available on the UCI Machine Learning Repository.

Syntheses, Molecular Structures, Electrochemical Behavior, Theoretical Study, and Antitumor Activities of Organotin(IV) Complexes Containing 1-(4-Chlorophenyl)-1-cyclopentanecarboxylato Ligands

The organotin(IV) compounds [Me2Sn(L)(2)] (1), [Et(2)sn(L)(2)] (2), [(Bu2Sn)-Bu-n(L)(2)] (3), [(n)Oct(2)Sn(L)(2)] (4), [Ph2Sn(L)(2)] (5), and [PhOSnL](6) (6) have been synthesized from the reactions of 1-(4-chlorophenyl)-1-cyclopentanecarboxylic acid (HL) with the corresponding diorganotin(IV) oxide or dichloride. They were characterized by IR and multinuclear NMR spectroscopies, elemental analysis, cyclic voltammetry, and, for 2, 3, 4 and 6, single crystal X-ray diffraction analysis. While 1-5 are mononuclear diorganotin (IV) compounds, the X-ray diffraction of 6 discloses a hexameric drumlike structure with a prismatic Sn6O6 core. All these complexes undergo irreversible reductions and were screened for their in vitro antitumor activities toward HL-60, BGC-823, Bel-7402, and KB human cancer cell lines. Within the mononuclear compounds, the most active ones (3, 5) are easiest to reduce (least cathodic reduction potentials), while the least active ones (1, 4) are the most difficult to reduce. Structural rearrangements (i.e., Sn-O bond cleavages and trans-to-cis isomerization) induced by reduction, which eventually can favor the bioactivity, are disclosed by theoretical/electrochemical studies.

Electricity Markets Simulation: MASCEM Contributions to the Challenging Reality

Electricity Markets are not only a new reality but an evolving one as the involved players and rules change at a relatively high rate. Multi-agent simulation combined with Artificial Intelligence techniques may result in sophisticated tools very helpful under this context. Some simulation tools have already been developed, some of them very interesting. However, at the present state it is important to go a step forward in Electricity Markets simulators as this is crucial for facing changes in Power Systems. This paper explains the context and needs of electricity market simulation, describing the most important characteristics of available simulators. We present our work concerning MASCEM simulator, presenting its features as well as the improvements being made to accomplish the change and challenging reality of Electricity Markets.

Metalearning in ALBidS: A Strategic Bidding System for electricity markets

Metalearning is a subfield of machine learning with special pro-pensity for dynamic and complex environments, from which it is difficult to extract predictable knowledge. The field of study of this work is the electricity market, which due to the restructuring that recently took place, became an especially complex and unpredictable environment, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. This paper presents the development of a metalearner, applied to the decision support of electricity markets’ negotia-tion entities. The proposed metalearner takes advantage on several learning algorithms implemented in ALBidS, an adaptive learning system that pro-vides decision support to electricity markets’ participating players. Using the outputs of each different strategy as inputs, the metalearner creates its own output, considering each strategy with a different weight, depending on its individual quality of performance. The results of the proposed meth-od are studied and analyzed using MASCEM - a multi-agent electricity market simulator that models market players and simulates their operation in the market. This simulator provides the chance to test the metalearner in scenarios based on real electricity market´s data.

Adaptive learning in multiagent systems: a forecasting methodology based on error analysis

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simu-lator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM pro-vides several dynamic strategies for agents’ behaviour. This paper presents a method that aims to provide market players strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses an auxiliary forecasting tool, e.g. an Artificial Neural Net-work, to predict the electricity market prices, and analyses its forecasting error patterns. Through the recognition of such patterns occurrence, the method predicts the expected error for the next forecast, and uses it to adapt the actual forecast. The goal is to approximate the forecast to the real value, reducing the forecasting error.

Efeito da imobilização na radioterapia do cancro do pulmão

Mestrado em Radiações Aplicadas às Tecnologias da Saúde. Área de especialização: Terapia com Radiações.

Evaluation of pharmaceutical assistance in public primary care in Brasília, Brazil

OBJECTIVE: Pharmaceutical assistance is essential in health care and a right of citizens according to Brazilian law and drug policies. The study purpose was to evaluate aspects of pharmaceutical assistance in public primary health care. METHODS: A cross-sectional study using WHO drug indicators was carried out in Brasília in 2001. From a random sample of 15 out of 62 centers thirty exiting patients per center were interviewed. RESULTS: Only 18.7% of the patients fully understood the prescription, 56.3% could read it, 61.2% of the prescribed drugs were actually dispensed, and mean duration of pharmaceutical dispensing was 53.2 seconds. Each visit lasted on average 9.4 minutes. Of prescribed and non-dispensed drugs, 85.3% and 60.6% were on the local essential drug list (EDL) respectively. On average 83.2% of 40 essential drugs were in stock, and only two centers had a pharmacist in charge of the pharmacy. The mean number of drugs per prescription was 2.3, 85.3% of prescribed drugs were on the EDL, 73.2% were prescribed using the generic denomination, 26.4% included antibiotics and 7.5% were injectables. The most prescribed groups were: cardiovascular drugs (26.8%), anti-infective drugs (13.1%), analgesics (8.9%), anti-asthmatic drugs (5.8%), anti-diabetic drugs (5.3%), psychoactive drugs (3.7%), and combination drugs (2.7%). CONCLUSIONS: Essential drugs were only moderately available almost 30 years after the first Brazilian EDL was formulated. While physician use of essential drugs and generic names was fairly high, efficiency was impaired by the poor quality of pharmaceutical care, resulting in very low patient understanding and insufficient guarantee of supply, particularly for chronic diseases.

Adaptation model for PCMAT – Mathematics collaborative learning platform

The aim of this paper is to present an adaptation model for an Adaptive Educational Hypermedia System, PCMAT. The adaptation of the application is based on progressive self-assessment (exercises, tasks, and so on) and applies the constructivist learning theory and the learning styles theory. Our objective is the creation of a better, more adequate adaptation model that takes into account the complexities of different users.