991 resultados para diagnose foliar


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Fungal pathogens perceive and respond to molecules from the plant, triggering pathogenic development. Transduction of these signals may use heterotrimeric G proteins, and it is thought that protein phosphorylation cascades are also important. We have isolated a mitogen-activated protein kinase homolog from the corn pathogen Cochliobolus heterostrophus to test its role as a component of the transduction pathways. The new gene, CHK1, has a deduced amino acid sequence 90% identical to Pmk1 of the rice blast fungus Magnaporthe grisea and 59% identical to Fus3 of Saccharomyces cerevisiae. A series of chk1 deletion mutants has poorly developed aerial hyphae, autolysis, and no conidia. No pseudothecia are formed when a cross between two Δchk1 mutants is attempted. The ability of Δchk1 mutants to infect corn plants is reduced severely. The growth pattern of hyphae on a glass surface is strikingly altered from that of the wild type, forming coils or loops, but no appressoria. This set of phenotypes overlaps only partially with that of pmk1 mutants, the homologous gene of the rice blast fungus. In particular, sexual and asexual sporulation both require Chk1 function in Cochliobolus heterostrophus, in contrast to Pmk1, but perhaps more similar to yeast, where Fus3 transmits the mating signal. Chk1 is required for efficient colonization of leaf tissue, which can be compared with filamentous invasive growth of yeast, modulated through another closely related mitogen-activated protein kinase, Kss1. Ubiquitous signaling elements thus are used in diverse ways in different plant pathogens, perhaps the result of coevolution of the transducers and their targets.

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O Gás Natural Liquefeito (GNL) tem, aos poucos, se tornado uma importante opção para a diversificação da matriz energética brasileira. Os navios metaneiros são os responsáveis pelo transporte do GNL desde as plantas de liquefação até as de regaseificação. Dada a importância, bem como a periculosidade, das operações de transporte e de carga e descarga de navios metaneiros, torna-se necessário não só um bom plano de manutenção como também um sistema de detecção de falhas que podem ocorrer durante estes processos. Este trabalho apresenta um método de diagnose de falhas para a operação de carga e descarga de navios transportadores de GNL através da utilização de Redes Bayesianas em conjunto com técnicas de análise de confiabilidade, como a Análise de Modos e Efeitos de Falhas (FMEA) e a Análise de Árvores de Falhas (FTA). O método proposto indica, através da leitura de sensores presentes no sistema de carga e descarga, quais os componentes que mais provavelmente estão em falha. O método fornece uma abordagem bem estruturada para a construção das Redes Bayesianas utilizadas na diagnose de falhas do sistema.

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Aims: Familial hypercholesterolemia (FH) is a genetic disorder of lipid metabolism, clinically characterised by high levels of low-density lipoprotein cholesterol (LDL-C) that leads to cholesterol accumulation in tendons and arteries, premature atherosclerosis and increased risk of premature coronary heart disease. In 1999, the Portuguese FH Study was established at the National Institute of Health to identify the genetic cause of hypercholesterolemia in individuals with a clinical diagnosis of FH and to perform an epidemiologic study to determine the prevalence and distribution of FH in Portugal. In the last 16 years, a genetic defect was identified in 749 patients, representing 3. 7 % of the cases estimated to exist in Portugal. Index patients were included in this study using the Simon Broome (SB) criteria. However, there are different FH clinical criteria to diagnose index cases. Since there are no clinical criteria to identify relatives with FH, the aim of this work was to investigate if a diagnostic tool based on population specific 95 th percentile improves the clinical identification of Portuguese FH patients comparing with SB criteria.

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Mode of access: Internet.

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Transportation Department, Office of the Secretary of Transportation, Washington, D.C.

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Thesis (M.S.)--Cornell University, 1916.

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Mode of access: Internet.