1,575 research outputs found

    Cosmological Constraints on Dissipative Models of Inflation

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    (Abridged) We study dissipative inflation in the regime where the dissipative term takes a specific form, \Gamma=\Gamma(\phi), analyzing two models in the weak and strong dissipative regimes with a SUSY breaking potential. After developing intuition about the predictions from these models through analytic approximations, we compute the predicted cosmological observables through full numerical evolution of the equations of motion, relating the mass scale and scale of dissipation to the characteristic amplitude and shape of the primordial power spectrum. We then use Markov Chain Monte Carlo techniques to constrain a subset of the models with cosmological data from the cosmic microwave background (WMAP three-year data) and large scale structure (SDSS Luminous Red Galaxy power spectrum). We find that the posterior distributions of the dissipative parameters are highly non-Gaussian and their allowed ranges agree well with the expectations obtained using analytic approximations. In the weak regime, only the mass scale is tightly constrained; conversely, in the strong regime, only the dissipative coefficient is tightly constrained. A lower limit is seen on the inflation scale: a sub-Planckian inflaton is disfavoured by the data. In both weak and strong regimes, we reconstruct the limits on the primordial power spectrum and show that these models prefer a {\it red} spectrum, with no significant running of the index. We calculate the reheat temperature and show that the gravitino problem can be overcome with large dissipation, which in turn leads to large levels of non-Gaussianity: if dissipative inflation is to evade the gravitino problem, the predicted level of non-Gaussianity might be seen by the Planck satellite.Comment: 14 pages, 9 figures, Accepted by JCAP without text changes, References adde

    Bayesian Analysis of Inflation III: Slow Roll Reconstruction Using Model Selection

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    We implement Slow Roll Reconstruction -- an optimal solution to the inverse problem for inflationary cosmology -- within ModeCode, a publicly available solver for the inflationary dynamics. We obtain up-to-date constraints on the reconstructed inflationary potential, derived from the WMAP 7-year dataset and South Pole Telescope observations, combined with large scale structure data derived from SDSS Data Release 7. Using ModeCode in conjunction with the MultiNest sampler, we compute Bayesian evidence for the reconstructed potential at each order in the truncated slow roll hierarchy. We find that the data are well-described by the first two slow roll parameters, \epsilon and \eta, and that there is no need to include a nontrivial \xi parameter.Comment: 14 pages, 12 figures, minor changes; final version; accepted in PR

    Estimation of Total Carbohydrate Content in Aqueous Extract of Sri Lankan Marine Algae Chnoospora minima

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    Marine organisms are rich in bioactive compounds such as polysaccharides, polyunsaturated fatty acids and polyphenols. These macromolecules possess anticoagulant, antiviral, antioxidant, anticancer and immunomodulatory activities. The present study was carried out to determine the total carbohydrates present in the extract of marine algae Chnoospora minima (Family: Scytosiphonaceae). Phenol-sulfuric method was used to estimate the total carbohydrate content. This method detects virtually all classes of carbohydrates, including mono-, di-, oligo-, and polysaccharides. Absorbance was measured at 490 nm with different concentrations of working standard of glucose solution (0, 0.020, 0.040, 0.060, 0.080, 0.10 and 0.023 mg/L mL) and the algal sample, followed by the addition of 5% phenol and 96% sulphuric acid. Resulted total carbohydrate content of the sample C. minima was 22.5 mg/kg. This high amount of carbohydrate content in C. minima reveal its potential to develop polysaccharide-based drugs following assessment of its anti-cancer activities.Keywords: Choonospora minima, Polysachcharides, Phenol-sulphuric method, anti-cancer activit

    Bourdieu, Strategy, and Identity Work: A Case from a Manufacturing Organisation in Sri Lanka

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    This empirical study aims to discuss how organisational actors' identity work is reflected through their strategy work, from a Bourdieusian perspective. The study is a case study which followed the qualitative research approach. The participants of the study were managers representing a cross-section of a manufacturing organisation in Sri Lanka.  Twenty-six semi-structured interviews were used for the generation of the data for thematic analysis. NVivo12 data management software was used for the data management and in initial coding. It was found that managers are engaged in different identity work for self during their strategy work, in the implementation of a new organisational strategy. Further, the behaviour and practices normalised in the selected organisation through managers' strategy work reflected their identity work for other/s in way of defining other/s. The discussion was based on the theory of practice by Pierre Bourdieu (1990). Accordingly, this research shows how the identity work of position takers (newly joined and promoted organisational actors) supports shaping the practices linked with a new strategy (strategy work). Further, their identity work reflected through strategy work is also connected with their individual dispositions (habitus). The discussion further shows how individuals’ capital—mainly their cultural capital—contribute to constructing a new strategy in the selected organisational field. As implications of this study, it highlighted the contribution of the position-takers in shaping the organisation's strategy (strategy work) while engaging in identity work for self and others. Consequently, this study illustrates how organisational actors perform different social-symbolic work (identity work and strategy work) in parallel.  Keywords: Capital; Habitus, Identity work; Social-symbolic work; Strategy wor

    Class II ADP-ribosylation factors are required for efficient secretion of Dengue viruses

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    This article is available open access through the publisher’s website.Identification and characterization of virus-host interactions are very important steps toward a better understanding of the molecular mechanisms responsible for disease progression and pathogenesis. To date, very few cellular factors involved in the life cycle of flaviviruses, which are important human pathogens, have been described. In this study, we demonstrate a crucial role for class II Arf proteins (Arf4 and Arf5) in the dengue flavivirus life cycle. We show that simultaneous depletion of Arf4 and Arf5 blocks recombinant subviral particle secretion for all four dengue serotypes. Immunostaining analysis suggests that class II Arf proteins are required at an early pre-Golgi step for dengue virus secretion. Using a horseradish peroxidase protein fused to a signal peptide, we show that class II Arfs act specifically on dengue virus secretion without altering the secretion of proteins through the constitutive secretory pathway. Co-immunoprecipitation data demonstrate that the dengue prM glycoprotein interacts with class II Arf proteins but not through its C-terminal VXPX motif. Finally, experiments performed with replication-competent dengue and yellow fever viruses demonstrate that the depletion of class II Arfs inhibits virus secretion, thus confirming their implication in the virus life cycle, although data obtained with West Nile virus pointed out the differences in virus-host interactions among flaviviruses. Our findings shed new light on a molecular mechanism used by dengue viruses during the late stages of the life cycle and demonstrate a novel function for class II Arf proteins.Research Fund for Control of Infectious Diseases of Hong Kong and BNP Paribas Corporate and Investment Banking

    Brief Communication: Sexual dimorphic expression of myostatin and follistatin like-3 in a rat trans-generational under-nutrition model

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    The detrimental effects of maternal under-nutrition during gestation on fetal development are well known with an increased propensity of metabolic disorders identified in the adult offspring. Understanding exactly how and by which molecular pathways inadequate nutrition can impact upon offspring phenotype is critical and necessary for the development of treatment methods and ultimately prevention of any negative health effects. Myostatin, a negative regulator of muscle development, has recently been shown to effect glucose homeostasis and fat deposition. The involvement of myostatin in glucose metabolism and adipogenesis thus supports its ability to act in the continued alterations to the postnatal phenotype of the offspring. This hypothesis was examined in the current study using a trans-generational gestationally under-nourished rat model exposed to a high-fat (HF) diet post-weaning. The body weight, body fat, plasma glucose and insulin concentrations of the offspring, both male and female, were investigated in relation to the protein expression of myostatin and its main inhibitor; follistatin like-3 (FSTL-3), in skeletal muscle of mature offspring. Sexual dimorphism was clearly evident in the majority of these measures, including myostatin and FSTL-3 expression. Generally males displayed higher (P < 0.05) myostatin precursor and dimer expression than females, which was especially apparent (P < 0.01) in both chow and HF trans-generationally undernourished (UNAD) groups. In females only, myostatin precursor and dimer expression was altered by both trans-generational under-nutrition and postnatal diet. Overall FSTL-3 expression did not differ between sexes, although difference between sexes within certain treatments and diets were evident. Most notably, HF fed UNAD females had higher (P < 0.05) FSTL-3 expression than HF fed UNAD males. The former group also displayed higher (P < 0.01) FSTL-3 expression compared to all other female groups. In summary, myostatin may prove to be a key mediator of the effects of inadequate prenatal nutrition, independently or in combination with a high-fat postnatal diet on offspring phenotype. Consequently, further study of myostatin may provide a novel therapeutic pathway for the treatment of metabolic disorders; however, it is vital that the influence of nutrition and gender should be taken into consideration

    First Observational Tests of Eternal Inflation: Analysis Methods and WMAP 7-Year Results

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    In the picture of eternal inflation, our observable universe resides inside a single bubble nucleated from an inflating false vacuum. Many of the theories giving rise to eternal inflation predict that we have causal access to collisions with other bubble universes, providing an opportunity to confront these theories with observation. We present the results from the first observational search for the effects of bubble collisions, using cosmic microwave background data from the WMAP satellite. Our search targets a generic set of properties associated with a bubble collision spacetime, which we describe in detail. We use a modular algorithm that is designed to avoid a posteriori selection effects, automatically picking out the most promising signals, performing a search for causal boundaries, and conducting a full Bayesian parameter estimation and model selection analysis. We outline each component of this algorithm, describing its response to simulated CMB skies with and without bubble collisions. Comparing the results for simulated bubble collisions to the results from an analysis of the WMAP 7-year data, we rule out bubble collisions over a range of parameter space. Our model selection results based on WMAP 7-year data do not warrant augmenting LCDM with bubble collisions. Data from the Planck satellite can be used to more definitively test the bubble collision hypothesis.Comment: Companion to arXiv:1012.1995. 41 pages, 23 figures. v2: replaced with version accepted by PRD. Significant extensions to the Bayesian pipeline to do the full-sky non-Gaussian source detection problem (previously restricted to patches). Note that this has changed the normalization of evidence values reported previously, as full-sky priors are now employed, but the conclusions remain unchange

    Comparing Infrared Dirac-Born-Infeld Brane Inflation to Observations

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    We compare the Infrared Dirac-Born-Infeld (IR DBI) brane inflation model to observations using a Bayesian analysis. The current data cannot distinguish it from the \LambdaCDM model, but is able to give interesting constraints on various microscopic parameters including the mass of the brane moduli potential, the fundamental string scale, the charge or warp factor of throats, and the number of the mobile branes. We quantify some distinctive testable predictions with stringy signatures, such as the large non-Gaussianity, and the large, but regional, running of the spectral index. These results illustrate how we may be able to probe aspects of string theory using cosmological observations.Comment: 54 pages, 13 figures. v2: non-Gaussianity constraint has been applied to the model; parameter constraints have tightened significantly, conclusions unchanged. References added; v3, minor revision, PRD versio

    Quantifying the Rarity of the Local Super-Volume

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    We investigate the extent to which the number of clusters of mass exceeding 1015M⊙h−1 within the local super-volume (⁠<135Mpch−1⁠) is compatible with the standard ΛCDM cosmological model. Depending on the mass estimator used, we find that the observed number N of such massive structures can vary between 0 and 5. Adopting N = 5 yields ΛCDM likelihoods as low as 2.4 × 10−3 (with σ8 = 0.81) or 3.8 × 10−5 (with σ8 = 0.74). However, at the other extreme (N = 0), the likelihood is of order unity. Thus, while potentially very powerful, this method is currently limited by systematic uncertainties in cluster mass estimates. This motivates efforts to reduce these systematics with additional observations and improved modelling
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