858 resultados para Cabelo - Identificação


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Despite Candida species are often human commensals isolated from various oral sites such as: tongue, cheek and palatal mucosa plus subgingival region, there are some properties linked to the organism commonly known as virulence factors which confer them the ability to produce disease. Oral candidiasis is one of the main oral manifestations reported in literature related to kidney transplant patients. The objectives of the present study were to identify and investigate virulence factors of yeasts isolated from the oral cavity of kidney transplant recipients admitted at the Hospital Universitário Onofre Lopes, in Natal RN. Seventy Candida species isolated from 111 kidney transplant recipients were investigated in this study. Identification of the isolates was performed by using the evidence of germ tube formation, hypertonic broth, tolerance to grow at 42°C, micromorphology and biochemical profiles. We observed a high rate of isolation of yeasts from the oral cavity of kidney transplant recipients (63.1%) being C. albicans was the most prevalent species. Oral candidiasis was diagnosed in 14.4% of transplant recipients. We evaluated virulence properties of the isolates regarding to: biofilm formation on polystyrene microplates as well as XTT reduction, adherence to acrylic resin and human buccal epithelial cells and proteinase activity. Most isolates were able to form biofilm by the method of adhesion to polystyrene. All isolates of Candida spp. remained viable during biofilm formation when analyzed by the method of XTT reduction. The number of CFU attached to the acrylic resin suggested high adherence for C. parapsilosis. C. albicans isolates showed higher median adherence to human buccal epithelial cells than non-C. albicans Candida isolates. Nevertheless, this difference was not statistically significant. C. dubliniensis showed low ability to adhere to plastic and epithelial cells and biofilm formation. Proteolytic activity was observed for all the isolates investigated, including the unique isolate of C. dubliniensis. There was a statistically significant association between proteinase production and the presence of oral candidiasis. Studies related to oral candidiasis in renal transplant recipients are limited to clinical and epidemiological data, but investigations concerning Candida spp. virulence factor for this group of individuals are still scarce. We emphasize the importance of studies related to virulence factors of yeasts isolated from this population to contribute to the knowledge of microbiological aspects of oral candidiasis

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Three methods of sexual identification were evaluated in Nile tilapia (Oreochromis niloticus) at ages of 30, 60 and 90 days that were submitted to sexual reversion under administration of androgen hormone 17 alpha-methyltestosterone added to crumble diets with different granules sizes (0.25, 0.35 and 0.50 mm) in dosage of 60mg/kg. The techniques of sexual identification employed were: a) Macroscopic examination of urogenital papilla; b) Microscopic examination of gonads through stain with carmine-acetate and c) Microscopic examination of gonads through histological routine. In the presence of three methods of sexual identification evaluated, histology of gonads has shown the most confident diagnosis. The grain diameters of rations did not interfere in morphological characteristics of gonads, neither in secondary sexual characters of fish.

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A bactéria B. thuringiensis caracteriza-se pela produção de proteínas tóxicas a representantes de diversas ordens de insetos, as quais são codificadas por genes cry. Este trabalho foi realizado com objetivo de selecionar isolados de B. thuringiensis, por meio da caracterização morfológica e molecular, identificando as diferentes subclasses dos genes cry3 e cry35 e determinar a patogenicidade contra Sphenophorus levis, uma das mais importantes pragas da cultura da cana-de-açúcar. Foram utilizados 1163 isolados de B. thuringiensis e com a observação em microscópio com contraste de fases foram confirmadas como pertencentes à espécie de B. thuringiensis. O material genético foi purificado pela matriz de troca iônica Instagene Matrix e submetido a PCR com iniciadores gerais cry3 e cry35 identificando-se 30 isolados contendo genes com potencial para o controle de coleópteros, os quais juntamente com as linhagens-padrão de B. thuringiensis var. tenebrionis, B. thuringiensis var. morrissone e B. thuringiensis var. tolworthi foram utilizados para a realização do bioensaio. Através de análise discriminante alocaram-se os isolados em quatro grupos quanto à toxicidade de B. thuringiensis. Os grupos ficaram assim definidos: um grupo que promovem até 10% de mortalidade contendo as testemunhas e duas linhagens;um grupo que causou 39% de mortalidade contendo três linhagens padrão e dez isolados; um grupo com 52% de mortalidade contendo treze isolados e um grupo com 70% de mortalidade contendo cinco isolados, os quais devem ser considerados promissores no controle biológico de S. levis.

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Unlike adult cancer, where cells usually originate from epithelial tissue and is linked to environmental factors, malignant tumors in childhood are mostly of embryonic origin and have a phase of rapid proliferation. When not started chemotherapy at this stage, the tumor increases in size, reducing their growth rate, thus reducing the response to chemotherapy. Childhood cancer is in Brazil, the second cause of mortality among children and adolescents from one to nineteen. His impact on the ranking of diseases becomes significantly important to public health since the first issue is related to accidents and violence. Many children are still sent to the centers of high complexity for cancer treatment with advanced stage disease. The delay in referral to diagnosis can be family, or the difficulty of access to the health sector, or the characteristics of the disease and lack of health staff regarding theme of childhood cancer. Before this problem, we aimed to assess the performance of health teams in the identification of child and adolescent symptoms of cancer in primary care, through the action research methodology, which includes the teaching-learning, seminars, describing the actions of the group and discussing the activities after the training. This study involved thirty-seven health professionals who provide care for children and adolescents in the USF Felipe Shrimp II, the Support Center for Children with Cancer and the pediatric hospital UFRN during the period from March to December 2010. The data were analyzed simultaneously to evaluate actions, following the direction of the analysis of ideas Freires, having as theoretical reference the primary health care. The diagnosis of current reality, as knowledge of the health team targeted for early identification of signs and symptoms raised through questioning, presented as generative themes: resistance to change, awareness of the need for apprehension of knowledge; prior knowledge through the media, fragmentation of the healthcare network, interfering with the operation of the reference and counter, the stigma of death, among others. The selected themes enabled the choice of content for the preparation of four seminars, such as implementation of collective action for discussion problematical. The teaching-learning process has allowed the study participants awareness of the problem and work through the knowledge acquired by interfering in decreasing the time interval between the identification of signs and symptoms of cancer and early specialist treatment. Their difficulties we are faced with a diagnosis of terminal cancer and associated with delayed access to laboratory tests and imaging necessary for the diagnosis of neoplasms. Thus, we find that when the team is consciously involved in the education process from identification of the problem situation, there may be significant changes in daily activities through awareness of being. However, we also realize that acquisition of knowledge and interest of the team are not enough, since to be efficiency of our service, we need an organization of cancer care network operating in the state of Rio Grande do Norte

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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O objetivo deste trabalho foi identificar novos marcadores microssatélites, ligados ao gene Rpp5 de resistência à ferrugem-da-soja, e validar os marcadores previamente mapeados, para que possam ser utilizados em programas de seleção assistida por marcadores moleculares (SAM). Para tanto, uma população F2 com 100 indivíduos, derivada do cruzamento entre a PI 200526 e a cultivar Coodetec 208, suscetível à ferrugem, foi artificialmente infectada e avaliada quanto à sua reação de resistência à ferrugem. Marcadores microssatélites foram testados nos genitores e em dois bulks contrastantes, para a identificação de marcadores ligados. Dois novos marcadores, potencialmente associados à resistência, foram testados em plantas individuais, e se constatou que eles estão ligados ao gene Rpp5 e estão presentes no grupo de ligação N da soja. A eficiência de seleção foi determinada em relação a todos os marcadores ligados ao gene Rpp5, e a combinação entre os marcadores Sat_275+Sat_280 foi de 100%.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Infrastructure works are included in strategic areas for the social development. For that matter that all of the investments are very important for the social development. When the population has enough water and an acceptable quality, and it includes a wastewater gathering and its treatment, the whole society became less susceptible to the water diseases. Even the Water Supply and the Sewage depend for its perfect operation of reservoirs, or of the accumulation of water to provide the popular necessity, either due to retention or for the treatment wastewarer. These structures present very specific environmental conditions, because the microclimate created around them, like high environmental humidity and for the existence of many harmful substances for the concrete, such as chloride ions presents in water. The reservoir that compose the System of Water Supply of Natal were built between 1970s and 1980s, a period whom the technical and scientific community did not have in-depth studies about the reinforced concrete mechanism of deterioration. Therefore, these reservoirs have been suffered accelerated deterioration progress, and they have been shown many pathological manifestations strikingly visible. In front of all these problems this academic work aims to identify the generally conditions of conservation of all the reservoirs components of the Water Supply System of Natal. This academic work objectives to develop a recuperation plan for use in these reservoirs, in this academic work it was achieved all the survey of pathological manifestation existing in each reservoir. It was made with local visits, photographic recorders of all manifestations viii and realization of in loco tests. The other step consisted in a application of GDE/UnB metodolgy reformulated by Fonseca (2007). In the step of local visits in each reservoir it was evaluated carbonation depth, by spreading a phenolphthalein solution with 1% of concentration; evaluation of contamination of chlorides, by spreading silver nitrate solution with 1% of concentration, and evaluation of width cracks. After the conclusion of all the testings, it was established that all reservoir, studied in this academic work, have showed an advanced deteriorating condition. It´s presents prevalent pathological manifestations as unacceptable cracks, spots, efflorescence and reinforcement corrosion, and in some cases, chlorides contamination. After the conclusion of the testings and its concatenation it was able to implementing, using GDE/UnB methodology, the order of the restoration its service life and initial safety conditions

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This paper presents a new multi-model technique of dentification in ANFIS for nonlinear systems. In this technique, the structure used is of the fuzzy Takagi-Sugeno of which the consequences are local linear models that represent the system of different points of operation and the precursors are membership functions whose adjustments are realized by the learning phase of the neuro-fuzzy ANFIS technique. The models that represent the system at different points of the operation can be found with linearization techniques like, for example, the Least Squares method that is robust against sounds and of simple application. The fuzzy system is responsible for informing the proportion of each model that should be utilized, using the membership functions. The membership functions can be adjusted by ANFIS with the use of neural network algorithms, like the back propagation error type, in such a way that the models found for each area are correctly interpolated and define an action of each model for possible entries into the system. In multi-models, the definition of action of models is known as metrics and, since this paper is based on ANFIS, it shall be denominated in ANFIS metrics. This way, ANFIS metrics is utilized to interpolate various models, composing a system to be identified. Differing from the traditional ANFIS, the created technique necessarily represents the system in various well defined regions by unaltered models whose pondered activation as per the membership functions. The selection of regions for the application of the Least Squares method is realized manually from the graphic analysis of the system behavior or from the physical characteristics of the plant. This selection serves as a base to initiate the linear model defining technique and generating the initial configuration of the membership functions. The experiments are conducted in a teaching tank, with multiple sections, designed and created to show the characteristics of the technique. The results from this tank illustrate the performance reached by the technique in task of identifying, utilizing configurations of ANFIS, comparing the developed technique with various models of simple metrics and comparing with the NNARX technique, also adapted to identification

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In this work a modification on ANFIS (Adaptive Network Based Fuzzy Inference System) structure is proposed to find a systematic method for nonlinear plants, with large operational range, identification and control, using linear local systems: models and controllers. This method is based on multiple model approach. This way, linear local models are obtained and then those models are combined by the proposed neurofuzzy structure. A metric that allows a satisfactory combination of those models is obtained after the structure training. It results on plant s global identification. A controller is projected for each local model. The global control is obtained by mixing local controllers signals. This is done by the modified ANFIS. The modification on ANFIS architecture allows the two neurofuzzy structures knowledge sharing. So the same metric obtained to combine models can be used to combine controllers. Two cases study are used to validate the new ANFIS structure. The knowledge sharing is evaluated in the second case study. It shows that just one modified ANFIS structure is necessary to combine linear models to identify, a nonlinear plant, and combine linear controllers to control this plant. The proposed method allows the usage of any identification and control techniques for local models and local controllers obtaining. It also reduces the complexity of ANFIS usage for identification and control. This work has prioritized simpler techniques for the identification and control systems to simplify the use of the method

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In last decades, neural networks have been established as a major tool for the identification of nonlinear systems. Among the various types of networks used in identification, one that can be highlighted is the wavelet neural network (WNN). This network combines the characteristics of wavelet multiresolution theory with learning ability and generalization of neural networks usually, providing more accurate models than those ones obtained by traditional networks. An extension of WNN networks is to combine the neuro-fuzzy ANFIS (Adaptive Network Based Fuzzy Inference System) structure with wavelets, leading to generate the Fuzzy Wavelet Neural Network - FWNN structure. This network is very similar to ANFIS networks, with the difference that traditional polynomials present in consequent of this network are replaced by WNN networks. This paper proposes the identification of nonlinear dynamical systems from a network FWNN modified. In the proposed structure, functions only wavelets are used in the consequent. Thus, it is possible to obtain a simplification of the structure, reducing the number of adjustable parameters of the network. To evaluate the performance of network FWNN with this modification, an analysis of network performance is made, verifying advantages, disadvantages and cost effectiveness when compared to other existing FWNN structures in literature. The evaluations are carried out via the identification of two simulated systems traditionally found in the literature and a real nonlinear system, consisting of a nonlinear multi section tank. Finally, the network is used to infer values of temperature and humidity inside of a neonatal incubator. The execution of such analyzes is based on various criteria, like: mean squared error, number of training epochs, number of adjustable parameters, the variation of the mean square error, among others. The results found show the generalization ability of the modified structure, despite the simplification performed

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A new method to perform TCP/IP fingerprinting is proposed. TCP/IP fingerprinting is the process of identify a remote machine through a TCP/IP based computer network. This method has many applications related to network security. Both intrusion and defence procedures may use this process to achieve their objectives. There are many known methods that perform this process in favorable conditions. However, nowadays there are many adversities that reduce the identification performance. This work aims the creation of a new OS fingerprinting tool that bypass these actual problems. The proposed method is based on the use of attractors reconstruction and neural networks to characterize and classify pseudo-random numbers generators