Uma proposta de classificação de analogias para o ensino nas ciências da saúde

O objetivo desse trabalho é contribuir para o processo de ensino de Ciências da Saúde por meio da apresentação de uma nova proposta de classificação de analogias contendo suas categorias, ca­racterizações e tipologias, elaborada a partir de duas dissertações de mestrado. Sua formulação ocorreu após análise de livros didáticos de Enfermagem e de Fisioterapia, de questionários e entrevistas com profissionais das áreas. A proposta contém oito categorias com respectivas caracterizações e apresenta uma tipologia própria, flexível de modo a ser reconstruída e se aplica a outras áreas do conhecimento. Os resultados apontam a necessidade de ampliar o sistema de classificação utilizado no ensino de ciên­cias de modo a contemplar as analogias encontradas no presente estudo

Effect of flavonoids on the arachidonic acid metabolism

The products of the ciclooxigenase and lipoxigenase action’s on the arachidonic acid are: prostaglandins, tromboxans and leucotriens, which are denominated eicosanoids. These compounds are homeostatic agents. They are involved in the integrity of the inflammatory, cardiovascular and renal systems. It has been demonstrated that flavonoids shows several pharmacological activities among them antiinflamatory and hipocholesterolemic properties. They reduce the risk of cardiovascular diseases and one of its principal action mechanism involve the inhibition of the enzymes which are involved in the final metabolism of the arachidonate.Os produtos da ação das enzimas ciclooxigenase e lipoxigenase sobre o ácido araquidônico são prostaglandinas, tromboxanos e leucotrienos, também denominados eicosanóides. Tais compostos são agentes homeostáticos, envolvidos na manutenção da integridade dos sistemas inflamatório, cardiovascular e renal. Vários pesquisadores têm demonstrado que flavonóides apresentam inúmeras propriedades farmacológicas, entre elas atividade antiinflamatória e hipocolesterolêmica, reduzindo, assim, o risco de doenças cardiovasculares e um dos principais mecanismos de ação propostos é a inibição das enzimas, envolvidas no metabolismo final do araquidonato. Este trabalho mostra uma revisão sobre o metabolismo do ácido araquidõnico e os efeitos farmacológicos de flavonóides nessa rota metabólica

Interaction of vortices in viscous planar flows

We consider the inviscid limit for the two-dimensional incompressible Navier-Stokes equation in the particular case where the initial flow is a finite collection of point vortices. We suppose that the initial positions and the circulations of the vortices do not depend on the viscosity parameter \nu, and we choose a time T > 0 such that the Helmholtz-Kirchhoff point vortex system is well-posed on the interval [0,T]. Under these assumptions, we prove that the solution of the Navier-Stokes equation converges, as \nu -> 0, to a superposition of Lamb-Oseen vortices whose centers evolve according to a viscous regularization of the point vortex system. Convergence holds uniformly in time, in a strong topology which allows to give an accurate description of the asymptotic profile of each individual vortex. In particular, we compute to leading order the deformations of the vortices due to mutual interactions. This allows to estimate the self-interactions, which play an important role in the convergence proof.Comment: 39 pages, 1 figur

Crystallization and preliminary X-ray study of haem-binding protein from the bloodsucking insect Rhodnius prolixus

Rhodnius haem-binding protein (RHBP) from the bloodsucking insect Rhodnius prolixus, a 15 kDa protein, has been crystallized using polyethylene glycol as a precipitant. X-ray diffraction data have been collected at a synchrotron source. The crystals belong to the space group P4(1(3))2(1)2, with unit-cell parameters a = b = 64.98, c = 210.68 Angstrom, and diffract beyond 2.6 Angstrom resolution.57686086

Prevalence and determinants of chronic respiratory diseases in adults in rural Sudan

BACKGROUND: Chronic respiratory diseases (CRDs) greatly contribute to worldwide mortality. Despite new data emerging from Africa, prevalence estimates and determinants of CRDs in rural settings are limited. This study sought to extend the existing research conducted in urban Sudan by conducting a rural comparison. METHODS: Participants aged ≥18 years (n = 1,850), living in rural Gezira State completed pre-and post-bronchodilator spirometry and a questionnaire. Prevalence of respiratory symptoms and spirometric abnormalities were reported. Regression analyses were used to identify risk factors for CRDs. RESULTS: Prevalence of chronic airflow obstruction (CAO) was 4.1% overall and 5.5% in those aged ≥40 years. Reversibility was seen in 6.4%. Low forced vital capacity (FVC) was seen in 58.5%, and at least one respiratory symptom was present in 40.7% of the participants. CAO was more common among people aged 60-69 years (OR 2.07, 95% CI 1.13-3.82) and less common among highly educated participants (OR 0.50, 95% CI 0.27-0.93). Being underweight was associated with lower FVC (OR 3.07, 95% CI 2.24-4.20). CONCLUSIONS: A substantial burden of CRD exists among adults in rural Sudan. Investment in CRD prevention and management strategies is needed

A multi-biometric iris recognition system based on a deep learning approach

YesMultimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability to spoofing. In this paper, an efficient and real-time multimodal biometric system is proposed based on building deep learning representations for images of both the right and left irises of a person, and fusing the results obtained using a ranking-level fusion method. The trained deep learning system proposed is called IrisConvNet whose architecture is based on a combination of Convolutional Neural Network (CNN) and Softmax classifier to extract discriminative features from the input image without any domain knowledge where the input image represents the localized iris region and then classify it into one of N classes. In this work, a discriminative CNN training scheme based on a combination of back-propagation algorithm and mini-batch AdaGrad optimization method is proposed for weights updating and learning rate adaptation, respectively. In addition, other training strategies (e.g., dropout method, data augmentation) are also proposed in order to evaluate different CNN architectures. The performance of the proposed system is tested on three public datasets collected under different conditions: SDUMLA-HMT, CASIA-Iris- V3 Interval and IITD iris databases. The results obtained from the proposed system outperform other state-of-the-art of approaches (e.g., Wavelet transform, Scattering transform, Local Binary Pattern and PCA) by achieving a Rank-1 identification rate of 100% on all the employed databases and a recognition time less than one second per person