985 resultados para 1099


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1911/12/10 (Numéro 1099).

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1887/03/19 (Numéro 1099).

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1914/09/15 (Numéro 1099).

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Ruth Knox Dowling Chapman, wife of George Arthur Chapman, by steps of a building at California Christian College [Chapman College], Los Angeles, California, 1921.

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George Argyros, Betty Hutton Williams, and G. T. "Buck" Smith at the dedication of Hutton Sports Center, 219 E. Sycamore St., Chapman College, Orange, California, on Founders' Day, November 10, 1979. The Harold Hutton Sports Center, completed in 1978, is named in honor of this former trustee, and made possible by a gift from his widow, Betty Hutton Williams.

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De déterminer si une stratégie de contrôle du rythme améliore la qualité de vie et / ou la capacité fonctionnelle par rapport à une stratégie de contrôle de la fréquence cardiaque chez les patients atteints de fibrillation auriculaire et d'insuffisance cardiaque congestive. Méthode: Pour évaluer la qualité de vie, le questionnaire SF-36 a été administré à l'inclusion et à 4 mois chez 749 patients de l’étude AF-CHF. Les paramètres de capacité fonctionnelle évalués ont été la classe fonctionnelle NYHA (1376 patients) et la distance de marche de six minutes (1099 patients). Résultats: Le type du traitement assigné n'a pas eu un impact significatif sur la qualité de vie ou la capacité fonctionnelle. Conclusion: La qualité de vie et la capacité fonctionnelle sont similaires chez les patients randomisés au contrôle du rythme par rapport au contrôle de la fréquence. Les hommes non-obèses avec moins de comorbidités semblent plus susceptibles de s'améliorer.

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Ketamine is widely used in medicine in combination with several benzodiazepines including midazolam. The objectives of this study were to develop a novel HPLC-MS/SRM method capable of quantifying ketamine and norketamine using an isotopic dilution strategy in biological matrices and study the formation of norketamine, the principal metabolite of ketamine with and without the presence of midazolam, a well-known CYP3A substrate. The chromatographic separation was achieved using a Thermo Betasil Phenyl 100 x 2 mm column combined with an isocratic mobile phase composed of acetonitrile, methanol, water and formic acid (60:20:20:0.4) at a flow rate of 300 μL/min. The mass spectrometer was operating in selected reaction monitoring mode and the analytical range was set at 0.05–50 μM. The precision (%CV) and accuracy (%NOM) observed were ranging from 3.9–7.8 and 95.9.2–111.1% respectively. The initial rate of formation of norketamine was determined using various ketamine concentration and Km values of 18.4 μM, 13.8 μM and 30.8 μM for rat, dog and human liver S9 fractions were observed respectively. The metabolic stability of ketamine on liver S9 fractions was significantly higher in human (T1/2 = 159.4 min) compared with rat (T1/2 = 12.6 min) and dog (T1/2 = 7.3 min) liver S9 fractions. Moreover significantly lower IC50 and Ki values observed in human compared with rat and dog liver S9 fractions. Experiments with cDNA expressed CYP3A enzymes showed the formation of norketamine is mediated by CYP3A but results suggest an important contribution from others isoenzymes, most likely CYP2C particularly in rat.

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This paper presents gamma stochastic volatility models and investigates its distributional and time series properties. The parameter estimators obtained by the method of moments are shown analytically to be consistent and asymptotically normal. The simulation results indicate that the estimators behave well. The insample analysis shows that return models with gamma autoregressive stochastic volatility processes capture the leptokurtic nature of return distributions and the slowly decaying autocorrelation functions of squared stock index returns for the USA and UK. In comparison with GARCH and EGARCH models, the gamma autoregressive model picks up the persistence in volatility for the US and UK index returns but not the volatility persistence for the Canadian and Japanese index returns. The out-of-sample analysis indicates that the gamma autoregressive model has a superior volatility forecasting performance compared to GARCH and EGARCH models.