40 resultados para Fungos - Classificação

em Universidade Federal do Rio Grande do Norte(UFRN)


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PEREIRA, Edinete do Nascimento et al. Classificação bibliográfica: as diversas contribuições para o tratamento da informação. In: SEMINÁRIO DE PESQUISA DO CCSA, 15., 2009. Anais... Natal: UFRN, 2009.

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Fungal polysaccharides have received a great deal of attention due to itsbecause of their potential use in a wide rangegreat variety fromof industries. Some studies have demonstrated that polysaccharides extracted offrom basidiomycetes they have presented significant properties as anti-inflammatory, antimicrobial, antioxidant and anti-tumoral properties. In spite of thisDespite these potential properties, these mushrooms have not been insufficiently investigated, and the great number of antibiotics number produced forby these organisms suggests that they canmay be a new source of bioactives composites source. In tThe present work, reports onlated the chemical composition, potential antioxidant, antiinflammatory and citotoxycity of extracted polymers extracted offrom the fruits bodies of the fungiius Geastrum saccatum and Polyporus dermoporus, native mushrooms of the Atlantic forest inof the state of the Rio Grande do Norte, Brazil. The Cchemical analyses had revealed ademonstrated text of total sugar rates of 65% and 49%, and proteins of 7.0% for in extracts of G. saccatum and P. dermoporus extracts, respectively. The analyses ofNMR spectroscopy of RMN had demonstrated that these extracts are composites forof a complex involving β- glucans and- proteins complex. The inhibition of the formation of superoxide radicals formation was of 88.4% in G. saccatum and 83.3% in P. dermoporus, and 75 and 100% for inhibition of hydroxyls radicals inhibition. TopicalThe topic application of extracts the 10, 30 and 50 mg/kg extract in BALBc mice with cutaneous inflammation induced byfor croton oil demonstrated to inhibitedion of ear edema of ear and cells polimorfonuclears cells atin the inflamed siteplace, being this reply more effective in lower concentrations being more effective. The evaluation of the glucans of G. saccatum and P. dermoporus glucans under induced pleurisy for carrageenan-induced pleurisya of showed the antiinflammatory action of these composites., being analyzed tThe frame number in the pleural exudates and thedosage of nitric oxide dosage was also analyzed. The cytotoxic action of these polymers was analyzed throughthrough the mitochondrial function (MTT). The incubation of the glucans with mononuclear cells of the peripheral blood demonstrated that the extracted glucans extracted fromof G. saccatum havepossess a moderate cytotoxic action. These results suggest that these mushrooms possess polymers formed byfor a complex glucana-protein complex, with antiinflammatory and antioxidant actions

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Globulins fractions of legume seeds of Crotalaria pallida, Erytrina veluntina and Enterolobium contortisiliquum were isolated and submitted to assays against serine, cysteine and aspartic proteinases, as also amylase present in midgut of C. maculatus and Z. subfasciatus. Hemagglutination assays indicated presence of a lectin in E. veluntina globulin fractions. This lectin had affinity to human erythrocytes type A, B and O. Vicilins were purified by chromatography on Sephacryl S-300 followed of a chromatography on Sephacryl S-200, which was calibrated using protein markers. Vicilins from C. pallida (CpV) and E. veluntina (EvV) seeds had a molecular mass of 124.6 kDa and E. contortisiliquum a molecular mass of 151kDa. Eletrophoresis in presence of SDS showed that CpV was constituted by four subunities with apparent molecular mass of 66, 63, 57 and 45 kDa, EvV with three subunities with apparent molecular mass of 45kDa and EcV four subunities, two with 37.1 kDa and two with 25.8 kDa. Non denaturantig eletrophoresis displayed single bands with high homogeneity, where CpV had lower acidic behavior. All vicilins are glycoproteins with carbohydrate contents at 1 to1.5%. Bioassays were done to detect deleterious effects of vicilins against C. maculatus and Z. subfasciatus larvae. CpV, EvV and EcV exhibited a WD50 of 0.28, 0.19 and 1.03%; LD50 0.2, 0.26, and 1.11% respectively to C. maculatus. The dose responses of CpV, EvV and EcV to Z. subfasciatus were: WD50 of 0.12, 0.14, 0.65% and LD50 of 0.09, 0.1, and 0.43% respectively. The mechanism of action of these proteins to bruchids should be based on their properties of bind to chitin present in mid gut of larvae associated with the low digestibility of vicilin. In assays against phytopatogenous fungus, only EcV was capable of inhibit F. solani growth at concentrations of 10 and 20 µg and its action mechanism should be also based in the affinity of EcV to chitin present in the fungi wall

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This master dissertation presents the study and implementation of inteligent algorithms to monitor the measurement of sensors involved in natural gas custody transfer processes. To create these algoritmhs Artificial Neural Networks are investigated because they have some particular properties, such as: learning, adaptation, prediction. A neural predictor is developed to reproduce the sensor output dynamic behavior, in such a way that its output is compared to the real sensor output. A recurrent neural network is used for this purpose, because of its ability to deal with dynamic information. The real sensor output and the estimated predictor output work as the basis for the creation of possible sensor fault detection and diagnosis strategies. Two competitive neural network architectures are investigated and their capabilities are used to classify different kinds of faults. The prediction algorithm and the fault detection classification strategies, as well as the obtained results, are presented

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Ectomycorrhizal associations are poorly known from tropical lowlands of South America. Recent field trips to the reserve Parque Estadual das Dunas in Natal, in Rio Grande do Norte state, Brazil, revealed a undocumented community of ectomycorrhizal fungi. This type of Mycorrhizal association is frequently in the north hemisphere in temperate and boreal forests. The aim of this work is to analyze the occurrence of ectotrophic areas in atlantic rainforest. Collections along and around the trails in the reserve revealed six genera of putatively ECM fungi which belong to the basidiomycete, Amanitaceae, Boletaceae, Russulaceae, Entolomataceae, and Sclerodermataceae family which are poorly documented in Brazil. Plants belonging to Myrtaceae, Polygonaceae, Leguminosae/Caesalpinioideae, Erythroxylaceae, Malphigiaceae, Bromeliaceae, Loganiaceae, Sapotaceae e Celastraceae were found living next to the species of fungi analized. Our results suggest that the area studied is an ectotrophic environment which shows high diversity of putatively ECM fungi and some plants probably host ECM. The tropical lands are a potential focus to study reinforced by the new records of Scleroderma in Brazil and Northwest of Brazil

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Gasteroids fungi are characterized by the basidiospores maturation inside the basidioma, from which spores liberation occurs in a passive manner. These fungi were once seen as a well definite class of Basidiomycota, but nowadays they are considered an artificial assemblage, because the organisms have independent evolutionary histories forming a polyphyletic group with a vast morphological variety. Despite their diversity, studies with this group in the tropics are incipient, and the phylogenetic relationships of the species from temperate climate remain unknown. Thus, this work aimed to elucidate the phylogenetic relationships of gasteroids fungi from the Geastrales and Phallales orders, with the inclusion of tropical and temperate species, and with these analyses suggest a systematic position of species like Aseroë floriformis and Phallus roseus, as well as to verify if the lignicolous habit can indicate parental relationship in the Geastrum genus. For this, basidiomata were collected at Atlantic rain forest areas, during the rainy season, and the specimen identification followed specific literature for gasteroid fungi. The phylogenetic analyses were performed with Maximum Parsimony and Bayesian Analysis, making use of RPB2 and 28S nuclear genes and atp6 mitochondrial gene. It could be observed on the Phallales dendogram, that Aseroë floriformis did not cluster with A. rubra, and that it has an anterior divergence from all others species of the family Clathraceae used in this analysis, assuming a basal position in the clade. Phallus roseus, which once was recognized as Itajahya, has previous divergence from the group formed by Phallus species. At the Geastrales dendogram, in the group corresponding to Geastrum genus, it could be observed that species with lignicolous habitat clustered in a clade with high support values. So, the results suggest the creation of a new genus to accommodate A. floriformis, and the revalidation of Itajahya, as well as it can be affirmed that the lignicolous habitat on the Geastrum genus in fact indicates parental relationships, and that it has arised only once at the evolutionary history of the genus

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Stroke represents the first cause of disabilities among adults. Although different professions work together in treatment of stroke patients, all they use different terminologies for the description of the patients problems and it can constitute an impediment in the communication between the staff members. Thus, the multidisciplinary and interdisciplinary work would be facilitated if using a reference common tool, as the new International Classification of Functioning, Disability and Health (ICF). However, the ICF is very extensive and complex and due to its complexity, it has been evidenced the necessity to select its categories to become it more practical. The aim of the study was to investigate which categories of the ICF are more suitable to evaluate and to describe the stroke patient in the view of teachers and municipal public health professionals. It was a descriptive research, which involved 5 professors and 11 professionals of Physiotherapy that have worked at the health public area in Natal / RN. It was used the Delphi Technique in 3 rounds and the Likert Scale to select the categories among the ICF components. As result, from the 362 IFC categories, 94 were selected. The selected categories correspond to rehabilitative characteristics of Stroke patients in the universe of the Physiotherapy performance. The methodology applied was suitable to the studied object emphasizing the necessity of future studies for validation of the chosen categories

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The venous ulcer is an epidemiological problem of high prevalence, causing disability and dependence. Assess the tissue impairment level of patients with venous lesions, within a nursing referential, is relevant for the implementation of a directed assistance to specific clientele. Thus, this work aims to characterize the health status regarding the integrity the lower limbs skin of patients with venous ulcers, according to the of tissue integrity outcome indicators from the Nursing Outcomes Classification. A cross-sectional study conducted in a university hospital in Natal - Rio Grande do Norte. The sample consisted of 50 participants, selected through consecutive sampling. Data collection occurred through a interview and physical examination form and a operational definitions tool for indicators of the nursing Tissue Integrity outcome directed to patients with venous ulcer, applied from February to June 2012. Data analysis was done by descriptive statistics and nonparametric tests (Spearman, Kruskal-Wallis and Mann-Whitney tests). The project was approved by the Research Ethics Committee with protocol 608/11 and Presentation Certificate to Ethical Consideration No. 0038.0.294.000-11. The results were presented using three scientific articles derivatives of research. It was found that the indicators show moderate impairment, light and not impaired, as the median. The respondents had an average of 59.72 years, 66% female, 50% were retired, 60% with a partner, 44% had arterial hypertension, 26% allergies, 20% diabetes mellitus, 96% were sedentary, 14% drank alcohol and 6% were smokers. There was a statistically significant correlation of low intensity between age and hydration (p=0.032; rs=-0.304) and skin desquamation (p=0.026; rs=-0.316), family income and necrosis (p=0.012; rs=-0.353); Ankle Brachial Index and tissue perfusion (p=0,044; rs=-0,329); Diabetes Mellitus and texture (p=0.015) and tissue perfusion (p=0.026); allergy and texture (p=0.034), physical activity and hydration (p=0.034), smoking and thickness (p=0.018), and alcohol consumption and exudate (p=0.045). We conclude that the patients had light to moderate impairment, indicating a good state of health on the integrity of the skin of the lower limbs, according to the indicators of the outcome of tissue integrity Classification Nursing Outcomes valued in the present study. It is believed that the evaluation of impairment tissue using a self-nursing system and its relation with socioeconomic, clinical and risk factors are unique tools in the care planning and in the wound healing

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The objective of this work is to draw attention to the importance of use of techniques of loss prevention in small retail organization, analyzing and creating a classification model related to the use of these in companies. This work identifies the fragilities and virtues of companies and classifies them relating the use of techniques of loss prevention. The used methodology is based in a revision of the available literature on measurements and techniques of loss prevention, analyzing the processes that techniques needed to be adopted to reduce losses, approaching the "pillars" of loss prevention, the cycle life of products in retail and cycles of continues improvement in business. Based on the objectives of this work and on the light of researched techniques, was defined the case study, developed from a questionnaire application and the researcher's observation on a net of 16 small supermarkets. From those studies a model of classification of companies was created. The practical implications of this work are useful to point mistakes in retail administration that can become losses, reducing the profitability of companies or even making them impracticable. The academic contribution of this study is a proposal of an unpublished model of classification for small supermarkets based on the use of techniques of loss prevention. As a result of the research, 14 companies were classified as Companies with Minimum Use of Loss Prevention Techniques - CMULPT, and 02 companies were classified as Companies with Deficient Use of Loss Prevention Techniques - CDULPT. The result of the research concludes that on average the group was classified as being Companies with Minimum Use of Techniques of Prevention of Losses EUMTPP, and that the companies should adopt a program of loss prevention focusing in the identification and quantification of losses and in a implantation of a culture of loss prevention

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Este trabalho tem como objetivo estudar os sistemas de Classificações existentes para a garantia da gestão da qualidade no setor hoteleiro, tendo como foco principal a Matriz de Classificação para os Meios de Hospedagem da EMBRATUR e a ISO 9000, observando os benefícios que esses sistemas e/ou processos de gestão poderão vir a proporcionar para o setor hoteleiro no que se refere à qualidade de seus serviços. Para a obtenção dessas informações foi realizada uma análise comparativa dos sistemas de gestão da qualidade através de pesquisas bibliográficas e de questionários enviados para empreendimentos hoteleiros certificados e classificados, onde os principais resultados fornecidos pela pesquisa foram trabalhados de forma a apresentar, de maneira clara, a superioridade de um sistema em relação ao outro

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The use of the maps obtained from remote sensing orbital images submitted to digital processing became fundamental to optimize conservation and monitoring actions of the coral reefs. However, the accuracy reached in the mapping of submerged areas is limited by variation of the water column that degrades the signal received by the orbital sensor and introduces errors in the final result of the classification. The limited capacity of the traditional methods based on conventional statistical techniques to solve the problems related to the inter-classes took the search of alternative strategies in the area of the Computational Intelligence. In this work an ensemble classifiers was built based on the combination of Support Vector Machines and Minimum Distance Classifier with the objective of classifying remotely sensed images of coral reefs ecosystem. The system is composed by three stages, through which the progressive refinement of the classification process happens. The patterns that received an ambiguous classification in a certain stage of the process were revalued in the subsequent stage. The prediction non ambiguous for all the data happened through the reduction or elimination of the false positive. The images were classified into five bottom-types: deep water; under-water corals; inter-tidal corals; algal and sandy bottom. The highest overall accuracy (89%) was obtained from SVM with polynomial kernel. The accuracy of the classified image was compared through the use of error matrix to the results obtained by the application of other classification methods based on a single classifier (neural network and the k-means algorithm). In the final, the comparison of results achieved demonstrated the potential of the ensemble classifiers as a tool of classification of images from submerged areas subject to the noise caused by atmospheric effects and the water column

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The skin cancer is the most common of all cancers and the increase of its incidence must, in part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil, the non-melanoma skin cancer is the most incident in the majority of the regions. The dermatoscopy and videodermatoscopy are the main types of examinations for the diagnosis of dermatological illnesses of the skin. The field that involves the use of computational tools to help or follow medical diagnosis in dermatological injuries is seen as very recent. Some methods had been proposed for automatic classification of pathology of the skin using images. The present work has the objective to present a new intelligent methodology for analysis and classification of skin cancer images, based on the techniques of digital processing of images for extraction of color characteristics, forms and texture, using Wavelet Packet Transform (WPT) and learning techniques called Support Vector Machine (SVM). The Wavelet Packet Transform is applied for extraction of texture characteristics in the images. The WPT consists of a set of base functions that represents the image in different bands of frequency, each one with distinct resolutions corresponding to each scale. Moreover, the characteristics of color of the injury are also computed that are dependants of a visual context, influenced for the existing colors in its surround, and the attributes of form through the Fourier describers. The Support Vector Machine is used for the classification task, which is based on the minimization principles of the structural risk, coming from the statistical learning theory. The SVM has the objective to construct optimum hyperplanes that represent the separation between classes. The generated hyperplane is determined by a subset of the classes, called support vectors. For the used database in this work, the results had revealed a good performance getting a global rightness of 92,73% for melanoma, and 86% for non-melanoma and benign injuries. The extracted describers and the SVM classifier became a method capable to recognize and to classify the analyzed skin injuries

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Post dispatch analysis of signals obtained from digital disturbances registers provide important information to identify and classify disturbances in systems, looking for a more efficient management of the supply. In order to enhance the task of identifying and classifying the disturbances - providing an automatic assessment - techniques of digital signal processing can be helpful. The Wavelet Transform has become a very efficient tool for the analysis of voltage or current signals, obtained immediately after disturbance s occurrences in the network. This work presents a methodology based on the Discrete Wavelet Transform to implement this process. It uses a comparison between distribution curves of signals energy, with and without disturbance. This is done for different resolution levels of its decomposition in order to obtain descriptors that permit its classification, using artificial neural networks

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The precision and the fast identification of abnormalities of bottom hole are essential to prevent damage and increase production in the oil industry. This work presents a study about a new automatic approach to the detection and the classification of operation mode in the Sucker-rod Pumping through dynamometric cards of bottom hole. The main idea is the recognition of the well production status through the image processing of the bottom s hole dynamometric card (Boundary Descriptors) and statistics and similarity mathematics tools, like Fourier Descriptor, Principal Components Analysis (PCA) and Euclidean Distance. In order to validate the proposal, the Sucker-Rod Pumping system real data are used

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The Brain-Computer Interfaces (BCI) have as main purpose to establish a communication path with the central nervous system (CNS) independently from the standard pathway (nervous, muscles), aiming to control a device. The main objective of the current research is to develop an off-line BCI that separates the different EEG patterns resulting from strictly mental tasks performed by an experimental subject, comparing the effectiveness of different signal-preprocessing approaches. We also tested different classification approaches: all versus all, one versus one and a hierarchic classification approach. No preprocessing techniques were found able to improve the system performance. Furthermore, the hierarchic approach proved to be capable to produce results above the expected by literature