317 research outputs found

    Discriminating dynamical from additive noise in the Van der Pol oscillator

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    We address the distinction between dynamical and additive noise in time series analysis by making a joint evaluation of both the statistical continuity of the series and the statistical differentiability of the reconstructed measure. Low levels of the latter and high levels of the former indicate the presence of dynamical noise only, while low values of the two are observed as soon as additive noise contaminates the signal. The method is presented through the example of the Van der Pol oscillator, but is expected to be of general validity for continuous-time systems.Comment: 12 pages (Elsevier LaTeX class), 4 EPS figures, submitted to Physica D (4 july 2001

    Detecting Determinism in High Dimensional Chaotic Systems

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    A method based upon the statistical evaluation of the differentiability of the measure along the trajectory is used to identify in high dimensional systems. The results show that the method is suitable for discriminating stochastic from deterministic systems even if the dimension of the latter is as high as 13. The method is shown to succeed in identifying determinism in electro-encephalogram signals simulated by means of a high dimensional system.Comment: 8 pages (RevTeX 3 style), 5 EPS figures, submitted to Phys. Rev. E (25 apr 2001

    Microsatellite characterisation and sex-typing in two invasive parakeet species, the monk parakeet Myiopsitta monachus and ring-necked parakeet Psittacula krameri

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    Invasive species can have wide-ranging negative impacts, and an understanding of the process and success of invasions can be vital to determine management strategies, mitigate impacts and predict range expansions of such species. Monk parakeets (Myiopsitta monachus) and ring-necked parakeets (Psittacula krameri) are both widespread invasive species, but there has been little research into the genetic and social structure of these two species despite the potential links with invasion success. The aim of this study was to isolate novel microsatellite loci from the monk parakeet and characterise them in both monk and ring-necked parakeets in order to facilitate future investigations into their behaviour and population ecology. Sex-typing markers were also tested in both species. Of the 20 microsatellite loci assessed in 24 unrelated monk parakeets, 16 successfully amplified and were polymorphic displaying between 2 and 14 alleles (mean = 8.06). Expected heterozygosity ranged from 0.43 to 0.93 and observed heterozygosity ranged from 0.23 to 0.96. Nine of the 20 loci also successfully amplified and were polymorphic in the ring-necked parakeet, displaying between 2 and 10 alleles. Suitable markers to sex both species and a Z-linked microsatellite locus were identified. A multiplex marker set was validated for monk parakeets. These novel microsatellite loci will facilitate fine and broad-scale population genetic analyses of these two widespread invasive species

    Evaluation of metabolic and biochemical blood parameters in lactating cows with Cystic Ovarian Disease

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    The aim of the study was to determine and evaluate different blood parameters associated to energetic, protein, mineral and liver metabolic processes together with productive and reproductive parameters in dairy cows of Santa Fe province (Argentina) that were diagnosed with cystic ovarian disease (COD). Lactating Argentine Holstein cows from five dairy herds with spontaneous COD (n= 80) diagnosed by ultrasound and control cows (n= 124) were included in the study. Blood samples were obtained from all cows to determine serum concentrations of: growth hormone, insulin-like growth factor (IGF-1), insulin, aspartate aminotransferase, alkalin phosphatase, gamma glutamiltransferase, albumin, total proteins, albumin: globulin ratio, total and direct bilirrubin, ?-hidroxibutirate, colesterol, glucose, urea, creatinin, calcium, phosphorus and magnesium. Serum concentrations of insulin and IGF-1 were lower (P<0.05) in COD than control cows. No significant differences among groups were observed in any other variables studied, however, the calving to conception interval was higher in cows with COD compared to controls. These results allowed us to conclude that there would be an association between blood concentrations of IGF-1 and insulin and COD that, ultimately, compromise the reproductive performance of the cow.Fil: Cattaneo, L. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Cátedra de Teriogenología. Santa Fe, ArgentinaFil: Barberis, F.C. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Cátedra de Teriogenología. Santa Fe, ArgentinaFil: Stangaferro, M.L. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Cátedra de Teriogenología. Santa Fe, ArgentinaFil: Signorini, M.L. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela. ArgentinaFil: Signorini, M.L. CONICET. ArgentinaFil: Ruiz, M.F. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Hospital de Salud Animal. Santa Fe, ArgentinaFil: Zimmermann, R. Universidad Nacional del Litoral. Facultad de Ciencias Veterinarias. Hospital de Salud Animal. Santa Fe, ArgentinaFil: Bo, G.A. Instituto de Reproducción Animal Córdoba (IRAC). ArgentinaFil: Hein, G.J. CONICET - Universidad Nacional del Litoral. Instituto de Ciencias Veterinarias del Litoral (ICiVet-Litoral). Esperanza, ArgentinaFil: Ortega, H.H. CONICET - Universidad Nacional del Litoral. Instituto de Ciencias Veterinarias del Litoral (ICiVet-Litoral). Esperanza, ArgentinaEl objetivo de este trabajo fue determinar y evaluar indicadores bioquímicos sanguíneos asociados a procesos metabólicos energéticos, proteicos, minerales y de funcionalidad hepática, junto con parámetros productivos y reproductivos en vacas lecheras que fueron diagnosticadas con enfermedad quística ovárica (COD) y controles. Se emplearon vacas Holando Argentino en lactancia de 5 rebaños de la provincia de Santa Fe (Argentina) que presentaban COD (n= 80) diagnosticada mediante ultrasonografía y controles clínicamente sanas (n= 124). De las vacas se obtuvo sangre coccígea para determinar las concentraciones séricas de las hormonas de crecimiento (GH), factor de crecimiento similar a la insulina-1 (IGF-1) e insulina, la actividad sérica de AST, FA, GGT y las concentraciones séricas de albúmina, proteínas totales, relación albúmina: globulinas, bilirrubina total y directa, ?-hidroxibutirato, colesterol, glucosa, urea, creatinina, calcio, fósforo y magnesio. Las concentraciones séricas de insulina e IGF-1 fueron menores (P<0,05) en las vacas con COD que en las controles. No se observaron diferencias significativas (P>0,05) entre ambos grupos en las demás variables séricas y productivas evaluadas, sin embargo, el intervalo parto-concepción fue mayor en vacas que presentaron COD. Los resultados nos permitieron concluir que habría una asociación entre los valores séricos de IGF-1 e insulina y la COD, y que ésta comprometería el futuro reproductivo de las vacas

    Chemotaxis cluster 1 proteins form cytoplasmatic arrays in Vibrio cholera and are stabilized by a double signaling domain receptor DosM

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    Implementation of a Markov Chain Monte Carlo method to inorganic aerosol modeling of observations from the MCMA-2003 campaign ? Part I: Model description and application to the La Merced site

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    International audienceThe equilibrium inorganic aerosol model ISORROPIA was embedded in a Markov Chain Monte Carlo algorithm to develop a powerful tool to analyze aerosol data and predict gas phase concentrations where these are unavailable. The method directly incorporates measurement uncertainty, prior knowledge, and provides a formal framework to combine measurements of different quality. The method was applied to particle- and gas-phase precursor observations taken at La Merced during the Mexico City Metropolitan Area (MCMA) 2003 Field Campaign and served to discriminate between diverging gas-phase observations of ammonia and predict gas-phase concentrations of hydrochloric acid. The model reproduced observations of particle-phase ammonium, nitrate, and sulfate well. The most likely concentrations of ammonia were found to vary between 4 and 26 ppbv, while the range for nitric acid was 0.1 to 55 ppbv. During periods where the aerosol chloride observations were consistently above the detection limit, the model was able to reproduce the aerosol chloride observations well and predicted the most likely gas-phase hydrochloric acid concentration varied between 0.4 and 5 ppbv. Despite the high ammonia concentrations observed and predicted by the model, when the aerosols were assumed to be in the efflorescence branch they are predicted to be acidic (pH~3)

    Implementation of a Markov Chain Monte Carlo method to inorganic aerosol modeling of observations from the MCMA-2003 campaign ? Part II: Model application to the CENICA, Pedregal and Santa Ana sites

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    International audienceA Markov Chain Monte Carlo model for integrating the observations of inorganic species with a thermodynamic equilibrium model was presented in Part I of this series. Using observations taken at three ground sites, i.e. a residential, industrial and rural site, during the MCMA-2003 campaign in Mexico City, the model is used to analyze the inorganic particle and ammonia data and to predict gas phase concentrations of nitric and hydrochloric acid. In general, the model is able to accurately predict the observed inorganic particle concentrations at all three sites. The agreement between the predicted and observed gas phase ammonia concentration is excellent. The NOz concentration calculated from the NOy, NO and NO2 observations is of limited use in constraining the gas phase nitric acid concentration given the large uncertainties in this measure of nitric acid and additional reactive nitrogen species. Focusing on the acidic period of 9?11 April identified by Salcedo et al. (2006), the model accurately predicts the particle phase observations during this period with the exception of the nitrate predictions after 10:00 a.m. (Central Daylight Time, CDT) on 9 April, where the model underpredicts the observations by, on average, 20%. This period had a low planetary boundary layer, very high particle concentrations, and higher than expected nitrogen dioxide concentrations. For periods when the particle chloride observations are consistently above the detection limit, the model is able to both accurately predict the particle chloride mass concentrations and provide well-constrained HCl (g) concentrations. The availability of gas-phase ammonia observations helps constrain the predicted HCl (g) concentrations. When the particles are aqueous, the most likely concentrations of HCl (g) are in the sub-ppbv range. The most likely predicted concentration of HCl (g) was found to reach concentrations of order 10 ppbv if the particles are dry. Finally, the atmospheric relevance of HCl (g) is discussed in terms of its indicator properties for the possible influence of chlorine-mediated photochemistry in Mexico City

    Search for Higgs bosons decaying to tautau pairs in ppbar collisions at sqrt(s) = 1.96 TeV

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    We present a search for the production of neutral Higgs bosons decaying into tautau pairs in ppbar collisions at a center-of-mass energy of 1.96 TeV. The data, corresponding to an integrated luminosity of 5.4 fb-1, were collected by the D0 experiment at the Fermilab Tevatron Collider. We set upper limits at the 95% C.L. on the product of production cross section and branching ratio for a scalar resonance decaying into tautau pairs, and we then interpret these limits as limits on the production of Higgs bosons in the minimal supersymmetric standard model (MSSM) and as constraints in the MSSM parameter space.Comment: 7 pages, 5 figures, submitted to PL
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