801 resultados para Biogeografia marinha
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The regulation of the inflammatory response is essential to maintain homeostasis. Several studies have been performed to search new drugs that can contribute to avoiding or minimizing an excessive inflammatory process. The aim of this study was to evaluate the effect of extracts of green algae Caulerpa mexican in models of inflammation. In mice, the model of peritonitis induced inflammatory zymosan pretreatment of mice with aqueous and methanol extracts of C. mexican was able to reduce cell migration to the peritoneal cavity. Treatment of mice with extracts of C. mexican also reduced the ear edema induced by xylene and exerted inhibitory action on the migration of leukocytes in inflammation-induced zymosan the air pouch, and timedependent for the extracts tested in the model of ulcerative colitis induced by DSS 3%, the extract methanol, but not the aqueous C. mexican, significantly reduced the clinical symptoms of colitis, as well as the production of proinflammatory cytokines in the culture of mouse colon, in the histological analysis there was a slight reduction of inflammation in the intestinal mucosa. We concluded that the administration of the extracts resulted in the reduction of cell migration to different sites as well as reducing the edema formation induced by chemical irritant. This study demonstrates for the first time the antiinflammatory effect of aqueous and methanolic extracts from green marine algae Caulerpa mexican
Sistema inteligente para detecção de manchas de óleo na superfície marinha através de imagens de SAR
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Oil spill on the sea, accidental or not, generates enormous negative consequences for the affected area. The damages are ambient and economic, mainly with the proximity of these spots of preservation areas and/or coastal zones. The development of automatic techniques for identification of oil spots on the sea surface, captured through Radar images, assist in a complete monitoring of the oceans and seas. However spots of different origins can be visualized in this type of imaging, which is a very difficult task. The system proposed in this work, based on techniques of digital image processing and artificial neural network, has the objective to identify the analyzed spot and to discern between oil and other generating phenomena of spot. Tests in functional blocks that compose the proposed system allow the implementation of different algorithms, as well as its detailed and prompt analysis. The algorithms of digital image processing (speckle filtering and gradient), as well as classifier algorithms (Multilayer Perceptron, Radial Basis Function, Support Vector Machine and Committe Machine) are presented and commented.The final performance of the system, with different kind of classifiers, is presented by ROC curve. The true positive rates are considered agreed with the literature about oil slick detection through SAR images presents
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In this work, biosorption process was used to remove heavy metals from used automotive lubricating oils by a bus fleet from Natal-RN-Brazil. This oil was characterized to determine the physical-chemistry properties. It was also characterized the used oil with the aim of determining and quantifying the heavy metal concentration. Fe and Cu were the metals existent in large concentration and these metals were choused to be studied in solubilization process. For the biosorption process was used the seaweed Sargassum sp for the study of influencing of the metals presents separately and with other metals. It was also studied the effect of the protonation treatment of alga with the objective to know the best efficiency of heavy metals removal. The study of the solubilization showed that the presence of more than a metal favors the solubilization of the metals presents in the oil and consequently, it favors the biosorption process, what becomes interesting the perspective application in the heavy metals removal in lubricating oils used, because the presence of more than a heavy metal favors the solubility of all metals present. It was observed that the iron and copper metals, which are present in large concentration, the protonated biosorbtent was more effective. In this study we used as biomass the marine alga Sargassum sp to study the influence of agitation velocity, temperature and initial biomass concentration on the removal of iron and copper from used lubricant oils. We performed an experimental design and a kinetic study. The experiments were carried out with samples of used lubricant oil and predetermined amounts of algae, allowing sufficient time for the mixture to obtain equilibrium under controlled conditions. The results showed that, under the conditions studied, the larger the amount of biomass present, the lower the adsorption capacity of the iron and of the copper, likely due to a decrease in interface contact area. The experimental design led us to conclude that a function can be obtained that shows the degree of influence of each one of the system variables
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The genus Herpsilochmus is composed mainly of cryptic species, among them is Herpsilochmus rufimarginatus, which is currently represented by four subspecies: H. r. rufimarginatus, H. r. frater, H. r. scapularis and H. r. exiguus. Differences in plumage and vocalization suggest that there are more than one species involved in this complex. Thus this and other subspecific taxa need urgent revision, the disjunct distribution of this species also allows us to infer the relationship between birds that occur in this biome and / or different centers of endemism. This study aims to make a taxonomic revision of the taxa included in the complex time Herpsilochmus rufimarginatus based on morphological, morphometric, vocals and geographical distribution of this bird. Besides creating distribution models current potential and make the reconstruction of the distribution bygone using ecological niche modeling, and testing the niche conservatism and divergence between different subspecies. Consultations for examination of the skins of specimens of the museums: Museum of Zoology, University of São Paulo (MZUSP), National Museum of Rio de Janeiro (MN) and Emilio Goeldi Museum of Pará (MPEG), and the skins deposited at the collection of Ornithological Federal University of Rio Grande do Norte (COUFRN). We studied the following measures length of specimens: exposed culmen, culmen and total culmen nostril, tarsus, wing and tail flattened. The voice analysis was performed with vocalizations banks and / or digital banks people where 17 voice parameters were measured. This information and more available in the literature were used to assemble a bunch of data under the limit distribution of taxa and generate ecological niche models. This analyzes carried out in the program Maxent, having as model selection criterion the AUC, and the models were greater than 0.80 are considered good models. Environmental data for the realization of the modeling were downloaded on the website of Worldclim. The morphometric information, vocals and geographic distribution point for the separation of these taxa to be considering various uni and multivariate analyzes. The potential distribution models performed well (AUC> 0.80), and its distribution associated with environmental characteristics of the Amazon forest and Atlantic forest (forests of south and southeast, northeast and forest). The reconstruction of the distribution indicates a possible contact between the southern part of the Atlantic forest in the northern part of the Amazon. The analysis of niche overlap showed a low overlap between taxa and comparisons between the null model and the generated overlay link probably occurring niche conservatism. The data suggest that the taxa that occur in the Amazon and Atlantic forest represent three distinct species
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Candida albicans and other yeasts from recreational water or clinical materials were isolated. Sixty-six water samples, originating from eight swimming pools and five lakes with beaches were examined for the presence of these yeasts, by a membrane filter method and 'pour plate' technique. Sixty-two clinical materials from suspected cases of candidiasis were studied in the same period. Rhodotorula sp and C. albicans were more frequently isolated from lakes and swimming pools, respectively; C. albicans and C. parapsilosis from clinical materials. From 44 samples of C. albicans, 90,9% were serotype A, and 9,1%, serotype B; C. albicans from recreational waters belong only serotype A. No difference was observed in the M.I.C. of C. albicans strains from waters and clinical materials. All strains were susceptible to the antifungal drugs tested.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Biologia Animal - IBILCE
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Geociências e Meio Ambiente - IGCE
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Pós-graduação em Geografia - IGCE
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Pós-graduação em Geografia - IGCE
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Pós-graduação em Relações Internacionais (UNESP - UNICAMP - PUC-SP) - FFC
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Química - IQ
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Pós-graduação em Ciências Biológicas (Zoologia) - IBB