924 resultados para Multivariate statistics
Resumo:
Background: The relevance of the remodeling pattern in the model of infarcted rats is not known. Objective: To analyze the presence of different patterns of remodeling in this model and its functional implications. Methods: Infarcted rats (n=47) have been divided according to the geometry pattern, analyzed by echocardiogram: normal (normal mass index and normal relative thickness), concentric remodeling (normal mass index and increased relative thickness), concentric hypertrophy (increased mass index and increased relative thickness) and eccentric hypertrophy (increased mass index and normal relative thickness). Data are median and interquartile range. Results: Infarcted rats showed only two of the four geometric patterns: normal pattern (15%) and eccentric hypertrophy - EH (85%). Groups of normal pattern and EH showed no differences in the values of fractional area change (Normal = 32.1-28.8 to 50.7; EH = 31.3-26.5 to 36.7; p = 0.343). Out of the infarcted animals, 34 (74%) had systolic dysfunction, detected by fractional area change. Considering these two geometry patterns, 77% of animals with eccentric hypertrophy and 57% with normal geometry presented systolic dysfunction (p=0.355). The relative wall thickness, the geometric patterns and the body mass index were not predictors of ventricular dysfunction (p>0.05). On the other hand, infarct size was a predictive factor for ventricular dysfunction in univariate analysis (p<0.001) and multivariate analysis (p = 0.004). Conclusion: Rats that underwent coronary occlusion showed two different patterns of remodeling, which do not constitute a predictor of ventricular dysfunction.
Resumo:
Includes bibliography
Resumo:
Multivariate orthogonal polynomials associated with a Sobolev-type inner product, that is, an inner product defined by adding to a measure the evaluation of the gradients in a fixed point, are studied. Orthogonal polynomials and kernel functions associated with this new inner product can be explicitly expressed in terms of those corresponding with the original measure. We apply our results to the particular case of the classical orthogonal polynomials on the unit ball, and we obtain the asymptotics of the kernel functions. © 2011 Universidad de Jaén.
Resumo:
Includes bibliography
Resumo:
Includes bibliography
Resumo:
In this paper is reported the use of the chromatographic profiles of volatiles to determine disease markers in plants - in this case, leaves of Eucalyptus globulus contaminated by the necrotroph fungus Teratosphaeria nubilosa. The volatile fraction was isolated by headspace solid phase microextraction (HS-SPME) and analyzed by comprehensive two-dimensional gas chromatography-fast quadrupole mass spectrometry (GC. ×. GC-qMS). For the correlation between the metabolic profile described by the chromatograms and the presence of the infection, unfolded-partial least squares discriminant analysis (U-PLS-DA) with orthogonal signal correction (OSC) were employed. The proposed method was checked to be independent of factors such as the age of the harvested plants. The manipulation of the mathematical model obtained also resulted in graphic representations similar to real chromatograms, which allowed the tentative identification of more than 40 compounds potentially useful as disease biomarkers for this plant/pathogen pair. The proposed methodology can be considered as highly reliable, since the diagnosis is based on the whole chromatographic profile rather than in the detection of a single analyte. © 2013 Elsevier B.V..
Resumo:
Includes bibliography
Resumo:
Incluye Bibliografía
Resumo:
Introduction Jatropha gossypifolia has been used quite extensively by traditional medicine for the treatment of several diseases in South America and Africa. This medicinal plant has therapeutic potential as a phytomedicine and therefore the establishment of innovative analytical methods to characterise their active components is crucial to the future development of a quality product. Objective To enhance the chromatographic resolution of HPLC-UV-diode-array detector (DAD) experiments applying chemometric tools. Methods Crude leave extracts from J. gossypifolia were analysed by HPLC-DAD. A chromatographic band deconvolution method was designed and applied using interval multivariate curve resolution by alternating least squares (MCR-ALS). Results The MCR-ALS method allowed the deconvolution from up to 117% more bands, compared with the original HPLC-DAD experiments, even in regions where the UV spectra showed high similarity. The method assisted in the dereplication of three C-glycosylflavones isomers: vitexin/isovitexin, orientin/homorientin and schaftoside/isoschaftoside. Conclusion The MCR-ALS method is shown to be a powerful tool to solve problems of chromatographic band overlapping from complex mixtures such as natural crude samples. Copyright © 2013 John Wiley & Sons, Ltd. Extracts from J. gossypifolia were analyzed by HPLC-DAD and, dereplicated applying MCR-ALS. The method assisted in the detection of three C-glycosylflavones isomers: vitexin/isovitexin, orientin/homorientin and schaftoside/isoschaftoside. The application of MCR-ALS allowed solving problems of chromatographic band overlapping from complex mixtures such as natural crude samples. Copyright © 2013 John Wiley & Sons, Ltd.
Resumo:
El símbolo E/840/Rev.1 corresponde a la edición bilingüe inglés/francés publicada en 1953