Efeitos de variáveis abióticas na composição química de Gelidium Crinale (Gelidiaceae, Rhodophyta) em cultivo unialgal

Os efeitos individuais e interativos dos parâmetros ambientais físicos e químicos, como temperatura, intensidade luminosa, salinidade e concentração de fósforo inorgânico dissolvido na água do mar, na produção de proteínas, carboidratos, acúmulo de fósforo tecidual e taxa de absorção do fósforo inorgânico disponível no meio de cultura em Gelidium crinale (Turner) Lamouroux, foram investigados durante um período de sete dias de cultivo laboratorial, em condições controladas. A ação dos parâmetros abióticos foi analisada de três maneiras diferentes. A primeira avaliação integrou a ação de temperatura, intensidade luminosa e fósforo inorgânico dissolvido, mantendo-se fixa a salinidade em 25 ups, onde se constatou que em todos os componentes químicos algais ocorreram interações de terceira ordem. O incremento de 2,28 a 2,67 % nos teores de proteínas foram obtidos à temperatura de 25 °C e 12 μmol m-2 s-1 de intensidade luminosa, diminuindo com a elevação da intensidade luminosa para 40 μmol m-2 s-1. Para carboidratos, ocorreram interações significativas entre os três parâmetros, com um aumento de 6,85 % sendo registrado a 25 °C de temperatura, 24 μmol m-2 s-1 de intensidade luminosa e 10,0 μM de fósforo inorgânico. O aumento máximo na taxa de fósforo tecidual (0,56 %) ocorreu em talos cultivados nas menores temperatura e intensidade luminosa e na maior concentração de fósforo inorgânico dissolvido. Com relação à intensidade luminosa, foi observada uma correlação negativa entre proteínas e carboidratos. A segunda avaliação estabeleceu a ação independente e sinérgica de temperatura, salinidade e fósforo inorgânico disponível no meio de cultivo, fixando-se a intensidade luminosa em 24 μmol m-2s-1. A maior produção de proteínas ocorreu em cultivos onde a temperatura foi de 25 °C, com uma concentração de 5,0 e 10,0 μM de fósforo inorgânico dissolvido e salinidade entre 15 e 20 ups, cujos valores médios do incremento variaram entre 2,62 a 2,83 % peso seco de alga, resultando em uma interação de terceira ordem altamente significativa. Para carboidratos a elevação de 6,85 % em sua concentração está associada à maior temperatura (25 °C), maior salinidade (25 ups) e maior quantidade de fósforo inorgânico disponível no meio de cultivo (10,0 μM). Contudo, não foi observada uma interação de terceira ordem através da análise estatística. Para esta biomolécula observaram-se interações de segunda ordem altamente significativa (P < 0,005) entre temperatura e diferentes concentrações de fósforo inorgânico e entre temperatura e salinidade (P < 0,000). O acúmulo de fósforo nos talos da alga foi menor durante os cultivos em que a salinidade foi de 25 ups,nas temperaturas de 20 e 25 °C e concentração de fósforo disponível de 2,5 μM, com percentuais entre 0,08 a 0,11 % em peso de cinzas. O maior incremento ocorreu na menor temperatura, associada à baixa salinidade e alta concentração de fósforo inorgânico no meio. O coeficiente de correlação de Pearson revelou correlações positivas, altamente significativas (P < 0,001) entre teor de proteína, temperatura e disponibilidade de fósforo inorgânico no meio de cultivo. Para carboidratos, as correlações foram positivas com os três parâmetros abióticos. Para fósforo tecidual somente com o fósforo inorgânico disponível no cultivo foi que ocorreu uma relação positiva; com os outros dois parâmetros esta correlação foi negativa. Entre os componentes químicos encontrados nas algas, proteínas e carboidratos apresentaram uma relação positiva, porém fósforo tecidual apresentou uma correlação negativa com ambos, embora com proteínas esta relação não tenha sido significativa. A terceira avaliação estudou a ação individual e o sinergismo entre os parâmetros ambientais, temperatura, intensidade luminosa e salinidade, a uma concentração fixa de fósforo inorgânico disponível no meio de cultivo (10,0 μM), sobre a composição química, bem como na taxa de absorção de fósforo inorgânico disponível. Observou-se a ocorrência de interações de terceira ordem em todos as variáveis estudadas. O teor de proteínas apresentou um aumento de 3,72 % durante o período de cultivo, passando de 20,63 % antes do cultivo, para 24,35 % após o término do experimento, principalmente nas condições de 25 °C de temperatura, 12 μmol m-2s-1 de intensidade luminosa e 15 ups de salinidade. Para carboidratos, nas condições de baixa intensidade luminosa (12 μmol m-2s- 1), a uma temperatura de 20 °C e salinidades de 10 e 15 ups, foram registrados valores inferiores à amostra controle, caracterizando um consumo desta biomolécula por parte das algas. Nestas mesmas condições ambientais, foram registrados os maiores teores de fósforo tecidual, variando entre 0,86 a 1,09 % do peso das cinzas. As maiores taxas de absorção do fósforo do meio ocorreram na salinidade de 25 ups e 25 °C de temperatura, diminuindo da intensidade luminosa de 12 μmol m-2s-1 para 40 μmol m-2s-1. As maiores concentrações de fósforo inorgânico residual na água do meio de cultivo ocorreram nas salinidades de 10 e 15 ups, em todas as intensidade luminosas e temperaturas estudadas. Através do coeficiente de correlação de Pearson, observou-se que os teores de proteínas apresentaram uma forte correlação negativa com a intensidade luminosa e positiva com a temperatura e salinidade, embora com esta última não tenha sido significativa. Para carboidratos, as correlações com os parâmetros abióticos foram todas positivas. Correlações negativa e positiva, não significativas, foram observadas entre esta biomolécula e o teor de proteínas e a taxa de absorção de fósforo disponível no meio, respectivamente. Por outro lado, com fósforo tecidual, ocorreu uma correlação negativa, altamente significativa. Este estudo mostra o estado fisiológico de Gelidium crinale e contribui para o estabelecimento das melhores condições de cultivo para produção de proteína, carboidrato e fósforo tecidual e indicação do uso racional de nutrientes, fornecendo informações para a otimização de processos de maricultura, tanto em termos de cultivo bem sucedido de algas, quanto de redução no impacto sobre o ambiente.

Covariance functions for body weight from birth to maturity in Nellore cows

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimates of genetic parameters for scrotal circumference using random regression models in Nelore cattle

A total of 15,901 scrotal circumference (SC) records from 5300 Nelore bulls, ranging from 229 to 560 days of age, were used with the objective of estimating (co)variance functions for SC, using random regression models. Models included the fixed effects of contemporary group and age of dam at calving as covariable (linear and quadratic effects). To model the population mean trend, a third order Legendre polynomial on animal age was utilized. The direct additive genetic and animal permanent environmental random effects were modeled by Legendre polynomials on animal age, with orders of fit ranging from 1 to 5. Residual variances were modeled considering 1 (homogeneity of variance) or 4 age classes. Results obtained with the random regression models were compared to multi-trait analysis. (Co)variance estimates using multi-trait and random regression models were similar. The model considering a third- and fifth-order Legendre polynomials for additive genetic and animal permanent environmental effects, respectively, was the most adequate to model changes in variance of SC with age. Heritability estimates for SC ranged from 0.24 (229 days of age) to 0.47 (300 days of age), remained almost constant until 500 days of age (0.52), decreasing thereafter (0.44). In general, the genetic correlations between measures of scrotal circumference obtained from 229 to 560 days of age decreased with increasing distance between ages. For genetic evaluation scrotal circumference could be measured between 400 and 500 days of age. (C) 2010 Elsevier B.V. All rights reserved.

Higher order ionospheric effects in GNSS positioning in the European region

After removal of the Selective Availability in 2000, the ionosphere became the dominant error source for Global Navigation Satellite Systems (GNSS), especially for the high-accuracy (cm-mm) demanding applications like the Precise Point Positioning (PPP) and Real Time Kinematic (RTK) positioning.The common practice of eliminating the ionospheric error, e. g. by the ionosphere free (IF) observable, which is a linear combination of observables on two frequencies such as GPS L1 and L2, accounts for about 99% of the total ionospheric effect, known as the first order ionospheric effect (Ion1). The remaining 1% residual range errors (RREs) in the IF observable are due to the higher - second and third, order ionospheric effects, Ion2 and Ion3, respectively. Both terms are related with the electron content along the signal path; moreover Ion2 term is associated with the influence of the geomagnetic field on the ionospheric refractive index and Ion3 with the ray bending effect of the ionosphere, which can cause significant deviation in the ray trajectory (due to strong electron density gradients in the ionosphere) such that the error contribution of Ion3 can exceed that of Ion2 (Kim and Tinin, 2007).The higher order error terms do not cancel out in the (first order) ionospherically corrected observable and as such, when not accounted for, they can degrade the accuracy of GNSS positioning, depending on the level of the solar activity and geomagnetic and ionospheric conditions (Hoque and Jakowski, 2007). Simulation results from early 1990s show that Ion2 and Ion3 would contribute to the ionospheric error budget by less than 1% of the Ion1 term at GPS frequencies (Datta-Barua et al., 2008). Although the IF observable may provide sufficient accuracy for most GNSS applications, Ion2 and Ion3 need to be considered for higher accuracy demanding applications especially at times of higher solar activity.This paper investigates the higher order ionospheric effects (Ion2 and Ion3, however excluding the ray bending effects associated with Ion3) in the European region in the GNSS positioning considering the precise point positioning (PPP) method. For this purpose observations from four European stations were considered. These observations were taken in four time intervals corresponding to various geophysical conditions: the active and quiet periods of the solar cycle, 2001 and 2006, respectively, excluding the effects of disturbances in the geomagnetic field (i.e. geomagnetic storms), as well as the years of 2001 and 2003, this time including the impact of geomagnetic disturbances. The program RINEX_HO (Marques et al., 2011) was used to calculate the magnitudes of Ion2 and Ion3 on the range measurements as well as the total electron content (TEC) observed on each receiver-satellite link. The program also corrects the GPS observation files for Ion2 and Ion3; thereafter it is possible to perform PPP with both the original and corrected GPS observation files to analyze the impact of the higher order ionospheric error terms excluding the ray bending effect which may become significant especially at low elevation angles (Ioannides and Strangeways, 2002) on the estimated station coordinates.

Buffalos milk yield analysis using random regression models

Data comprising 1,719 milk yield records from 357 females (predominantly Murrah breed), daughters of 110 sires, with births from 1974 to 2004, obtained from the Programa de Melhoramento Genetic de Bubalinos (PROMEBUL) and from records of EMBRAPA Amazonia Oriental - EAO herd, located in Belem, Para, Brazil, were used to compare random regression models for estimating variance components and predicting breeding values of the sires. The data were analyzed by different models using the Legendre's polynomial functions from second to fourth orders. The random regression models included the effects of herd-year, month of parity date of the control; regression coefficients for age of females (in order to describe the fixed part of the lactation curve) and random regression coefficients related to the direct genetic and permanent environment effects. The comparisons among the models were based on the Akaike Infromation Criterion. The random effects regression model using third order Legendre's polynomials with four classes of the environmental effect were the one that best described the additive genetic variation in milk yield. The heritability estimates varied from 0.08 to 0.40. The genetic correlation between milk yields in younger ages was close to the unit, but in older ages it was low.

Random regression models using Legendre polynomials or linear splines for test-day milk yield of dairy Gyr (Bos indicus) cattle

Studies investigating the use of random regression models for genetic evaluation of milk production in Zebu cattle are scarce. In this study, 59,744 test-day milk yield records from 7,810 first lactations of purebred dairy Gyr (Bos indicus) and crossbred (dairy Gyr × Holstein) cows were used to compare random regression models in which additive genetic and permanent environmental effects were modeled using orthogonal Legendre polynomials or linear spline functions. Residual variances were modeled considering 1, 5, or 10 classes of days in milk. Five classes fitted the changes in residual variances over the lactation adequately and were used for model comparison. The model that fitted linear spline functions with 6 knots provided the lowest sum of residual variances across lactation. On the other hand, according to the deviance information criterion (DIC) and Bayesian information criterion (BIC), a model using third-order and fourth-order Legendre polynomials for additive genetic and permanent environmental effects, respectively, provided the best fit. However, the high rank correlation (0.998) between this model and that applying third-order Legendre polynomials for additive genetic and permanent environmental effects, indicates that, in practice, the same bulls would be selected by both models. The last model, which is less parameterized, is a parsimonious option for fitting dairy Gyr breed test-day milk yield records. © 2013 American Dairy Science Association.

Comparison of random regression models to estimate genetic parameters for milk production in Guzerat (Bos indicus) cows

Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. © FUNPEC-RP.

Multiplicity and transverse momentum dependence of two- and four-particle correlations in pPb and PbPb collisions

Measurements of two- and four-particle angular correlations for charged particles emitted in pPb collisions are presented over a wide range in pseudorapidity and full azimuth. The data, corresponding to an integrated luminosity of approximately 31nb-1, were collected during the 2013 LHC pPb run at a nucleon-nucleon center-of-mass energy of 5.02 TeV by the CMS experiment. The results are compared to 2.76 TeV semi-peripheral PbPb collision data, collected during the 2011 PbPb run, covering a similar range of particle multiplicities. The observed correlations are characterized by the near-side (|δφ|≈0) associated pair yields and the azimuthal anisotropy Fourier harmonics (vn). The second-order (v2) and third-order (v3) anisotropy harmonics are extracted using the two-particle azimuthal correlation technique. A four-particle correlation method is also applied to obtain the value of v2 and further explore the multi-particle nature of the correlations. Both associated pair yields and anisotropy harmonics are studied as a function of particle multiplicity and transverse momentum. The associated pair yields, the four-particle v2, and the v3 become apparent at about the same multiplicity. A remarkable similarity in the v3 signal as a function of multiplicity is observed between the pPb and PbPb systems. Predictions based on the color glass condensate and hydrodynamic models are compared to the experimental results. © 2013 CERN.

Modelos de dimensão finita e infinita para avaliação da produção de ovos em aves de postura

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimativas de parâmetros genéticos para produção de leite em búfalas por modelos de repetibilidade, multi-característica e de regressão aleatória

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Modelos de regressão aleatória para a estimação de parâmetros genéticos da produção e constituintes do leite de búfalas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Higher-order molecular properties and excitation energies in single-reference and multireference coupled-cluster theory

Coupled-cluster (CC) theory is one of the most successful approaches in high-accuracy quantum chemistry. The present thesis makes a number of contributions to the determination of molecular properties and excitation energies within the CC framework. The multireference CC (MRCC) method proposed by Mukherjee and coworkers (Mk-MRCC) has been benchmarked within the singles and doubles approximation (Mk-MRCCSD) for molecular equilibrium structures. It is demonstrated that Mk-MRCCSD yields reliable results for multireference cases where single-reference CC methods fail. At the same time, the present work also illustrates that Mk-MRCC still suffers from a number of theoretical problems and sometimes gives rise to results of unsatisfactory accuracy. To determine polarizability tensors and excitation spectra in the MRCC framework, the Mk-MRCC linear-response function has been derived together with the corresponding linear-response equations. Pilot applications show that Mk-MRCC linear-response theory suffers from a severe problem when applied to the calculation of dynamic properties and excitation energies: The Mk-MRCC sufficiency conditions give rise to a redundancy in the Mk-MRCC Jacobian matrix, which entails an artificial splitting of certain excited states. This finding has established a new paradigm in MRCC theory, namely that a convincing method should not only yield accurate energies, but ought to allow for the reliable calculation of dynamic properties as well. In the context of single-reference CC theory, an analytic expression for the dipole Hessian matrix, a third-order quantity relevant to infrared spectroscopy, has been derived and implemented within the CC singles and doubles approximation. The advantages of analytic derivatives over numerical differentiation schemes are demonstrated in some pilot applications.

MR imaging in Crohn's disease: correlation of MR motility measurement with histopathology in the terminal ileum

BACKGROUND: The objective of the study was to correlate MR-detectable motility alterations of the terminal ileum with biopsy-documented active and chronic changes in Crohn's disease. METHODS: This IRB approved retrospective analysis of 43 patients included magnetic resonance enterography (MRE) and terminal ileum biopsies (<2 weeks apart). Motility was measured at the terminal ileum using coronal 2D trueFISP pulse sequences (1.5T MRI,TR 83.8,TE1.89) and dedicated motility assessment software. Motility grading (hypermotility, normal, hypomotility, complete arrest) was agreed by two experienced readers. Motility was compared and correlated with histopathology using two-tailed Kruskal-Wallis test and paired Spearman Rank-Order Correlation tests. KEY RESULTS: Motility abnormalities were present in 27/43 patients: nine hypomotility and 18 complete arrest. Active disease was diagnosed on 15 biopsies: eight moderate and seven severe inflammatory activity. Chronic changes were diagnosed on 17 biopsies: 13 moderate and four severe cases. In four patients with normal motility alterations on histopathology were diagnosed. Histopathology correlated with presence (P = 0.0056 for hypomotility and P = 0.0119 for complete arrest) and grade (P < 0.0001; P = 0.0004) of motility alterations. A significant difference in the motility was observed in patients with active or chronic CD compared with patients without disease (P < 0.001; P = 0.0024). CONCLUSIONS & INFERENCES: MR-detectable motility changes of the terminal ileum correlate with histopathological findings both in active and chronic CD. Motility changes may indicate the presence pathology, but do not allow differentiation of active and chronic disease.

Maximum principle preserving high order schemes for convection-dominated diffusion equations

The maximum principle is an important property of solutions to PDE. Correspondingly, it's of great interest for people to design a high order numerical scheme solving PDE with this property maintained. In this thesis, our particular interest is solving convection-dominated diffusion equation. We first review a nonconventional maximum principle preserving(MPP) high order finite volume(FV) WENO scheme, and then propose a new parametrized MPP high order finite difference(FD) WENO framework, which is generalized from the one solving hyperbolic conservation laws. A formal analysis is presented to show that a third order finite difference scheme with this parametrized MPP flux limiters maintains the third order accuracy without extra CFL constraint when the low order monotone flux is chosen appropriately. Numerical tests in both one and two dimensional cases are performed on the simulation of the incompressible Navier-Stokes equations in vorticity stream-function formulation and several other problems to show the effectiveness of the proposed method.

Next-to-Next-to-Next-to-Leading Order QCD Prediction for the Top Antitop S-Wave Pair Production Cross Section Near Threshold in e + e − Annihilation

We present the third-order QCD prediction for the production of top antitop quark pairs in electron-positron collisions close to the threshold in the dominant S-wave state. We observe a significant reduction of the theoretical uncertainty and discuss the sensitivity to the top quark mass and width.