Avaliação da incontinência urinária de esforço em mulheres na pós-menopausa com e sem queixa de perda urinária através da aplicação do pad-test de 1 hora

Stress urinary incontinence (SUI) is defined as "involuntary loss of urine" due to several processes that alter the ability of the bladder to hold urine properly, regarded as a social and hygienic problem that adversely affects quality of life. In postmenopausal women, IU is associated with atrophy and weakness of the pelvic floor muscles. The objective this study was investigate, using the onehour pad test, stress urinary leakage (SUI), evaluate and compare their results in postmenopausal and premenopausal women. The survey was characterized as a cross-sectional study. The study consisted of 60 postmenopausal women were divided into GIU - consisting of 34 volunteers complaining of involuntary loss of urine during stress - and GSIU - consisting of 26 volunteers without complaints of loss of urine during stress, and 15 women, during the premenopausal (GPM), and ovulatory with normal menstrual cycle. All volunteers were evaluated clinically, subjected to one-hour pad test, after the biochemical evaluation of blood and sex hormones. Statistical analysis was performed by descriptive analysis, ANOVA, Turkey´s post-test and Pearson correlation. The results showed that 100% of postmenopausal patients had involuntary loss of urine during one hour pad test (GIU: 4.0 g; GSIU: 4.5 g). GPM remained continent after an hour pad test (GPM: 0.4 g). In addition, Pearson showed a strong correlation between urine loss with time since menopause (r = 0.8, p <0.01) and body mass index - BMI (r = 0.7; p = 0.01). These data suggest that the one-hour pad test is a useful test to assess and quantify urinary leakage, including those volunteers who had no previous complaint of SUI

A construction como método concretizador de direitos fundamentais: aplicação na jurisdição constitucional brasileira

The way of organization of the constitutional jurisdiction implies the possibility to extend the democratization of the same one in function of the popular participation in the active legitimacy to constitutional process (procedimentalist model) e, at the same time, to assure technical viable decisions fast and to the complex problems of the constitucional law (substancialist model). The comparison with the constitutional jurisdiction of U.S.A. becomes interesting from the knowledge of the wide power to decide experience of Supreme the Court that for a methodology of construction of rights and not simply of interpretation of the Constitution, brought up to date and reconstructed throughout its historical evolution the direction of the norms of basic rights and the North American principles constitutional. Construction while constitutional hermeneutic method of substancialist matrix works with techniques as the measurement of principles, the protection of interests of minorities and the entailing of the basic rights with values politicians, what it can be brought to evidence of the Brazilian constitutional jurisdiction in order to improve the construction of basic rights that comes being carried through for the judicial ativism in control of the diffuse and abstract constitutionality. To define the limits of construction is to search, on the other hand, a dialogue with the procedimentalists thesis, aiming at the widening of the participation of the citizen in the construction of the basic rights for the constitutional process and to argue forms of the society to evaluate the pronounced decisions activist in the controls diffuse and abstract of constitutionality

A aplicação do acordo sobre subsídios e medidas compensatórias pelo estado brasileiro

The Multilateral Trading System has evolved and presented new international mandatory rules to States. Along with the World Trade Organization constitutive treaty, Brazil has incorporated the Agreement on Subsidies and Countervailing Measures (ASCM) in the national legal system. That treaty limits de scope of subsidies concession by governments since this practice can constitute a mechanism of commercial disloyalty, affecting national industrial development in the importing country. At the same time, the multilateral agreement grants defense legitimate instruments to States, among them the possibility of domestically and unilaterally imposing countervailing measures to subsidized products that enter the national territory. Since the issue concerns both international and domestic level in complementary grounds, this research, besides investigating the treaty related obligation, aims at studying the national legal fundaments to ASCM s application by the Brazilian State. Therefore, the essential point resides in the State s conduction of its international trading and also in its available and constitutionally established mechanisms of economic intervention. State s regulating power reveals itself as a fundamental prerogative to succeed in the internalization of international agreement s requirements in the domestic legal system, which represents a basic prerequisite to the implementation of countervailing measures. Once the whole normative outlines are apprehended, this study shall scan the administrative process of trading defense main elements, along with the means of controlling public administration acts. The action taken by the public organs that directly intervene in foreign trade shall be analyzed as well, so as to enable reasoning if the unilateral application of countervailing duties by the Brazilian State is happening on legitimacy grounds

Pobreza multidimensional na região nordeste: uma aplicação da Teoria dos Conjuntos Fuzzy (em 2010)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Nível crítico de fósforo no solo paraPanicum maximum Jacq. cv. Tanzânia

Foram avaliados os efeitos da aplicação de fósforo (P) em solo argiloso, de textura média e arenoso, sobre a produção de matéria seca de Panicum maximum Jacq. cv. Tanzânia. O ensaio foi conduzido em casa de vegetação, em vasos de plástico contendo 10 dm³ de solo, em esquema fatorial e delineamento inteiramente ao acaso. Após calagem para V = 70% e aplicação de 0, 35, 70, 105 e 140 mg/dm³ de P, o solo foi umedecido, e depois de 30 dias, secado e amostrado. O ensaio foi conduzido por 76 dias, a partir da emergência das plântulas, com o primeiro corte aos 48 dias, a 10 cm do solo, e o segundo, aos 76,rente ao solo. Com a aplicação de P houve aumento de produção de matéria seca, e o maior acréscimo ocorreu com a aplicação de 35 mg/dm³. A maior produção foi obtida no solo de textura média. O teor de P nas plantas estava adequado nos solos arenoso e argiloso. No de textura média, ele diminuiu com o aumento da produção,caracterizando efeito de diluição. Com aprodução relativa e o teor de P de cada solo, foi determinado o nível crítico de 38 mg/dm³ de P extraído por resina.

Educação corporativa para Micro e Pequenas empresas: aplicação do MADEC em empresas do setor supermercadista

This study searches to supply an existing gap in the empirical research about the performance of controllers of Micron and Small Companies (MSCs) in the context of corporative education (EC) through the Method of Support of Decision in Corporative Education (MSDCE). In the context of MCSs, this is a pioneering work, for other works related to this thematic searched in literature are limited to conjecture the possibility of its implantation via cooperation between companies; moreover, they do not apply any type of diagnosis method or viability. The object of study is an association of supermarkets of the city of Natal/RN, composed by 16 stores, of what 14 had been searched. The main objective of this work was to apply the first stage of the MSDCE and to verify the possibility of implanting the Corporative Education in the searched MSCs. As a result, it was obtained the profile of the companies and the validation of the above-mentioned Method. The phase of diagnosis conceived through the implantation of the first stage occurred through visits to the stores, interviews, application of questionnaires and place observation. The first stage - strategical analysis for professional education - was divided in two phases: analysis of the current corporative situation and available identification of the involved difficulties and resources. The implantation of the first stage of the MSDCE in the Association of Supermarkets Parceiros da Economia demanded a mapping of abilities and demonstrated how the education management works, the main difficulties and limitations of the MCSs of the supermerket branch of Natal/RN. Beyond the technological aspects, it was verified that cultural and educational aspects need to be worked to reach efficiency in the process of implantation of a corporative education program

Aplicação de indicadores webométricos nos programas de Pós-Graduação das engenharias recomendados pela CAPES

This study aims to identify, through the application of webometric indicators, which Post-Graduate Courses in Engineering recommended by the Coordination of Improvement of Higher Personnel Education (CAPES) in Brazil stand out in the web space, in relation to the communication process and dissemination of scientific information in the academic environment. For this, we analyzed the structures content of the sites, the use, through the conduct of investigations and searches, the quality of information available, as well as the structure of existent hypertexts in the sites of this universe of search. The tools and methodologies adopted for this study are: search engines (Google, Yahoo), Mapper software (Xenu Link Sleuth) and analysis software and visualization of networks (and Ucinet6 NetDraw). Webometric indicators are also used, such as size of the web sites, visibility, web impact factor, brightness and density of the network. These instruments provide a brief analysis and evaluation for this webometric study. Therefore, from the incursion of the literature used, it appears that there are many advantages of using this type of metric study in the so called Information Society. The obtained results could identify which postgraduate courses in engineering has a better availability of their information on the Web, as well to define which of these courses stands out in relation to the use of their information, which has been outstanding in respect to its impact factor and which offers a greater number of links that serve as a source of information for its users, contributing, in its turn, with the navigability of the same network. In summary, it is asserted that the webometric study presents promising results, which are able to achieve the proposed objectives, as well as identify the factors that contribute significantly to the good visualization of these sites in the network, thus helping the spread of information and scientific communication through the use of the Web.

Avaliação de robustez, desempenho e aplicação do controlador adaptativo por posicionamento de pólos e estrutura variável

In this work, the variable structure adaptive pole placement controller (VS-APPC) robustness and performance are evaluated and this algorithm is applied in a motor control system. The controller robustness evaluation will be done through simulations, where will be introduced in the system the following adversities: time delay, actuator response boundeds, disturbances, parametric variation and unmodeled dynamics. The VS-APPC will be compared with PI control, pole placement control (PPC) and adaptive pole placement controller (APPC). The VS-APPC will be simulated to track a step and a sine reference. It will be applied in a three-phase induction motor control system to track a sine signal in the stator reference frame. Simulation and experimental results will prove the efficiency and robustness of this control strategy

Um método para determinação da profundidade combinando visão estéreo e autocalibração para aplicação em robótica móvel

This work proposes a method to determine the depth of objects in a scene using a combination between stereo vision and self-calibration techniques. Determining the rel- ative distance between visualized objects and a robot, with a stereo head, it is possible to navigate in unknown environments. Stereo vision techniques supply a depth measure by the combination of two or more images from the same scene. To achieve a depth estimates of the in scene objects a reconstruction of this scene geometry is necessary. For such reconstruction the relationship between the three-dimensional world coordi- nates and the two-dimensional images coordinates is necessary. Through the achievement of the cameras intrinsic parameters it is possible to make this coordinates systems relationship. These parameters can be gotten through geometric camera calibration, which, generally is made by a correlation between image characteristics of a calibration pattern with know dimensions. The cameras self-calibration allows the achievement of their intrinsic parameters without using a known calibration pattern, being possible their calculation and alteration during the displacement of the robot in an unknown environment. In this work a self-calibration method based in the three-dimensional polar coordinates to represent image features is presented. This representation is determined by the relationship between images features and horizontal and vertical opening cameras angles. Using the polar coordinates it is possible to geometrically reconstruct the scene. Through the proposed techniques combination it is possible to calculate a scene objects depth estimate, allowing the robot navigation in an unknown environment

Materiais supercondutores HTS para arranjos de antenas e aplicação de PBG para micro-ondas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Aplicação de superfícies seletivas em frequência para melhoria de resposta de arranjos de antenas planares

This work aims to show how the application of frequency selective surfaces (FSS) in planar antenna arrays become an alternative to obtain desired radiation characteristics from changes in radiation parameters of the arrays, such as bandwidth, gain and directivity. In addition to analyzing these parameters is also made a study of the mutual coupling between the elements of the array. To accomplish this study, were designed a microstrip antenna array with two patch elements, fed by a network feed. Another change made in the array was the use of the truncated ground plane, with the objective of increasing the bandwidth and miniaturize the elements of the array. In order to study the behavior of frequency selective surfaces applied in antenna arrays, three different layouts were proposed. The first layout uses the FSS as a superstrate (above the array). The second layout uses the FSS as reflector element (below the array). The third layout is placed between two FSS. Numerical and experimental results for each of the proposed configurations are presented in order to validate the research

Aplicação de sistemas multi-classificadores no diagnóstico de falhas em motores de indução trifásicos

Equipment maintenance is the major cost factor in industrial plants, it is very important the development of fault predict techniques. Three-phase induction motors are key electrical equipments used in industrial applications mainly because presents low cost and large robustness, however, it isn t protected from other fault types such as shorted winding and broken bars. Several acquisition ways, processing and signal analysis are applied to improve its diagnosis. More efficient techniques use current sensors and its signature analysis. In this dissertation, starting of these sensors, it is to make signal analysis through Park s vector that provides a good visualization capability. Faults data acquisition is an arduous task; in this way, it is developed a methodology for data base construction. Park s transformer is applied into stationary reference for machine modeling of the machine s differential equations solution. Faults detection needs a detailed analysis of variables and its influences that becomes the diagnosis more complex. The tasks of pattern recognition allow that systems are automatically generated, based in patterns and data concepts, in the majority cases undetectable for specialists, helping decision tasks. Classifiers algorithms with diverse learning paradigms: k-Neighborhood, Neural Networks, Decision Trees and Naïves Bayes are used to patterns recognition of machines faults. Multi-classifier systems are used to improve classification errors. It inspected the algorithms homogeneous: Bagging and Boosting and heterogeneous: Vote, Stacking and Stacking C. Results present the effectiveness of constructed model to faults modeling, such as the possibility of using multi-classifiers algorithm on faults classification

Implementação experimental de filtro ativo paralelo de potência com aplicação a gerador de indução trifásico

This work describes the experimental implementation of a shunt active power filter applied to a three-phase induction generator. The control strategy of active filter turned to the excitation control of the machine and to decrease the harmonics in the generator output current. Involved the implementation of a digital PWM switching, and was made a comparison of two techniques for obtaining the reference currents. The first technique is based on the synchronous dq reference method and the second on the theory of instantaneous power. The comparison is performed via simulation and experimental results. To obtain the experimental results, was mounted a bench trial and the control and communications needed were implemented using DSP - MS320F2812. The simulation results and experimental data proved the efficiency of the filter to apply, highlighting the technique of instantaneous power

Estudo da detecção preventiva da osteoporose pela aplicação da variação da permissividade elétrica a partir da sondagem eletromagnética

This paper proposes a method based on the theory of electromagnetic waves reflected to evaluate the behavior of these waves and the level of attenuation caused in bone tissue. For this, it was proposed the construction of two antennas in microstrip structure with resonance frequency at 2.44 GHz The problem becomes relevant because of the diseases osteometabolic reach a large portion of the population, men and women. With this method, the signal is classified into two groups: tissue mass with bony tissues with normal or low bone mass. For this, techniques of feature extraction (Wavelet Transform) and pattern recognition (KNN and ANN) were used. The tests were performed on bovine bone and tissue with chemicals, the methodology and results are described in the work

Aplicação de técnicas de aprendizado de máquina no reconhecimento de classes estruturais de proteínas

Nowadays, classifying proteins in structural classes, which concerns the inference of patterns in their 3D conformation, is one of the most important open problems in Molecular Biology. The main reason for this is that the function of a protein is intrinsically related to its spatial conformation. However, such conformations are very difficult to be obtained experimentally in laboratory. Thus, this problem has drawn the attention of many researchers in Bioinformatics. Considering the great difference between the number of protein sequences already known and the number of three-dimensional structures determined experimentally, the demand of automated techniques for structural classification of proteins is very high. In this context, computational tools, especially Machine Learning (ML) techniques, have become essential to deal with this problem. In this work, ML techniques are used in the recognition of protein structural classes: Decision Trees, k-Nearest Neighbor, Naive Bayes, Support Vector Machine and Neural Networks. These methods have been chosen because they represent different paradigms of learning and have been widely used in the Bioinfornmatics literature. Aiming to obtain an improvment in the performance of these techniques (individual classifiers), homogeneous (Bagging and Boosting) and heterogeneous (Voting, Stacking and StackingC) multiclassification systems are used. Moreover, since the protein database used in this work presents the problem of imbalanced classes, artificial techniques for class balance (Undersampling Random, Tomek Links, CNN, NCL and OSS) are used to minimize such a problem. In order to evaluate the ML methods, a cross-validation procedure is applied, where the accuracy of the classifiers is measured using the mean of classification error rate, on independent test sets. These means are compared, two by two, by the hypothesis test aiming to evaluate if there is, statistically, a significant difference between them. With respect to the results obtained with the individual classifiers, Support Vector Machine presented the best accuracy. In terms of the multi-classification systems (homogeneous and heterogeneous), they showed, in general, a superior or similar performance when compared to the one achieved by the individual classifiers used - especially Boosting with Decision Tree and the StackingC with Linear Regression as meta classifier. The Voting method, despite of its simplicity, has shown to be adequate for solving the problem presented in this work. The techniques for class balance, on the other hand, have not produced a significant improvement in the global classification error. Nevertheless, the use of such techniques did improve the classification error for the minority class. In this context, the NCL technique has shown to be more appropriated