992 resultados para Laboratory identification


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Systemidentification, evolutionary automatic, data-driven model, fuzzy Takagi-Sugeno grammar, genotype interpretability, toxicity-prediction

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1 (1912)

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Magdeburg, Univ., Fak. für Naturwiss., Diss., 2012

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Background:Some studies have indicated alcohol abuse as one of the contributors to the development of cardiovascular disease, particularly coronary heart disease. However, this relationship is controversial.Objective:To investigate the relationship between post-acute coronary syndrome (ACS) alcohol abuse in the Acute Coronary Syndrome Registry Strategy (ERICO Study).Methods:146 participants from the ERICO Study answered structured questionnaires and underwent laboratory evaluations at baseline, 30 days and 180 days after ACS. The Alcohol Use Disorders Identification Test (AUDIT) was applied to assess harmful alcohol consumption in the 12 months preceding ACS (30 day-interview) and six months after that.Results:The frequencies of alcohol abuse were 24.7% and 21.1% in the 12 months preceding ACS and six months after that, respectively. The most significant cardiovascular risk factors associated with high-risk for alcohol abuse 30 days after the acute event were: male sex (88.9%), current smoking (52.8%) and hypertension (58.3%). Six months after the acute event, the most significant results were replicated in our logistic regression, for the association between alcohol abuse among younger individuals [35-44 year-old multivariate OR: 38.30 (95% CI: 1.44-1012.56) and 45-54 year-old multivariate OR: 10.10 (95% CI: 1.06-96.46)] and for smokers [current smokers multivariate OR: 51.09 (95% CI: 3.49-748.01) and past smokers multivariate OR: 40.29 (95% CI: 2.37-685.93)].Conclusion:Individuals younger than 54 years and smokers showed a significant relation with harmful alcohol consumption, regardless of the ACS subtype.

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Biosignals processing, Biological Nonlinear and time-varying systems identification, Electomyograph signals recognition, Pattern classification, Fuzzy logic and neural networks methods

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23 isolates from root nodules of 13 leguminous species were tested in laboratory for cultural and physiological characteristics. The following conclusions can be drawn: 1 - The cultural and physiological characters were not enough to identify the different isolates. 2 - The data from cultural and physiological tests help the identification of the bacteria, when checked with data from cross-inoculation tests reported elsewhere (GALLI, 1958). The bacteria studied herein may be grouped as the following: a) nodule bacteria from Vigna sinensis, Calopogonium muconoides, Centrosema pubescens, Desmodium adscendens, D. discolor, Indigofera mucronata, I. subulata, I. sumatrana, Stylosanthes guyanensisA Tephrosia cândida and Teramnus uncinatus: bacteria with scanty growth; alcaline reaction in milk-brom cresol purple; no acid production in medium with any of the carbohydrates used. b) nodule bacteria from pea and from Vicia obscura: bacteria with moderate growth; alcaline reaction, with serum zone, in milk-brom cresol purple; acid production in medium with all the carbohydrates used. c) nodule bacteria from Leucaena glauca: bacteria with moderate growth; alcaline reaction, with serum zone, in milk-brom cresol purple; acid production from rafinose and manitol. d) nodule bacteria from Cratylia floribunda: bacteria with scanty growth; alcaline reaction in milk-brom cresol purple; acid production from mannose and ramnose.