856 research outputs found

    Prevalence of hepatitis C virus in patients with tuberculosis and its impact in the incidence of anti-tuberculosis drugs induced hepatotoxicity

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    AbstractBackgroundThe prevalence of hepatitis C virus (HCV) infection among patients with tuberculosis (TB) has not been extensively investigated, and very limited data on rates of HCV co-infection among patients with TB exists. Hepatotoxicity is the major adverse effect of three of the first line anti-TB agents: isoniazid (INH), rifampin (RIF), and pyrazinamide (PZA). Chronic liver disease raises a risk of hepatotoxicity during anti-tuberculosis treatment, up to three to five times more than TB patients who do not have viral infection.AimTo assess the prevalence of HCV infection in patients with tuberculosis and its impact in the incidence of anti-tuberculosis drug induced hepatotoxicity (DIH).Subjects and methodsThe prevalence of HCV in patients with newly diagnosed pulmonary or extrapulmonary tuberculosis was estimated using polymerase chain reaction (PCR). Then patients were classified into 2 groups: group I (patients with HCV-TB coinfections) and group II (HCV-seronegative tuberculous patients). Baseline and monthly measuring liver transaminases was done before and following the start of 1st line anti-tuberculosis therapy.ResultsThe prevalence of HCV in patients with TB was 17.02%. Regarding DIH, in group I; 6 (40%) cases showed transient transaminase elevations and 6 (40%) cases developed DIH. In group II; 11 (20.75%) cases developed transient transaminase elevations and only 2 (3.78%) cases developed DIH, and there was a highly significant difference (<0.01) between both groups. Regarding the severity of DIH, in group I; 4 cases were mild, one case was moderate and one case was severe. While in group II, no cases was with severe DIH. The risk factors for developing DIH during anti-tuberculosis therapy were; age ⩾40, high baselines transaminases, ALP and total bilirubin, and low BMI. Most cases of DIH occurred during the 1st 4weeks of starting anti-tuberculosis therapy (66.7% and 50% in group I and group II, respectively).ConclusionsTuberculosis and hepatitis C virus co-infection is common, and elevation of liver functions during anti-tuberculosis therapy is not uncommon. HCV-positive patients with tuberculosis should be closely monitored during treatment especially if they had elevated baseline liver functions, old age and with low BMI. Monitoring should include the whole period of treatment, especially the 1st 2months

    Temporal Logic Control of POMDPs via Label-based Stochastic Simulation Relations

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    The synthesis of controllers guaranteeing linear temporal logic specifications on partially observable Markov decision processes (POMDP) via their belief models causes computational issues due to the continuous spaces. In this work, we construct a finite-state abstraction on which a control policy is synthesized and refined back to the original belief model. We introduce a new notion of label-based approximate stochastic simulation to quantify the deviation between belief models. We develop a robust synthesis methodology that yields a lower bound on the satisfaction probability, by compensating for deviations a priori, and that utilizes a less conservative control refinement

    Cut Points and Diffusions in Random Environment

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    In this article we investigate the asymptotic behavior of a new class of multi-dimensional diffusions in random environment. We introduce cut times in the spirit of the work done by Bolthausen, Sznitman and Zeitouni, see [4], in the discrete setting providing a decoupling effect in the process. This allows us to take advantage of an ergodic structure to derive a strong law of large numbers with possibly vanishing limiting velocity and a central limit theorem under the quenched measure.Comment: 44 pages; accepted for publication in "Journal of Theoretical Probability

    Homogenization of nonlocal wire metamaterial via a renormalization approach

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    It is well known that defining a local refractive index for a metamaterial requires that the wavelength be large with respect to the scale of its microscopic structure (generally the period). However, the converse does not hold. There are simple structures, such as the infinite, perfectly conducting wire medium, which remain non-local for arbitrarily large wavelength-to-period ratios. In this work we extend these results to the more realistic and relevant case of finite wire media with finite conductivity. In the quasi-static regime the metamaterial is described by a non-local permittivity which is obtained analytically using a two-scale renormalization approach. Its accuracy is tested and confirmed numerically via full vector 3D finite element calculations. Moreover, finite wire media exhibit large absorption with small reflection, while their low fill factor allows considerable freedom to control other characteristics of the metamaterial such as its mechanical, thermal or chemical robustness.Comment: 8 pages on two columns, 7 figures, submitted to Phys. Rev.

    A Homogeneous Actor-Based Monitor Language for Adaptive Behaviour

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    This paper describes a structured approach to encoding monitors in an actor language. Within a configuration of actors, each of which publishes a history, a monitor is an independent actor that triggers an action based on patterns occurring in the histories. We define a monitor language based on linear temporal logic and show how it can be homogeneously embedded within an actor language. The approach is demonstrated through a number of examples and evaluated in terms of a real-world actor-based simulation

    Frequency Comb Assisted Diode Laser Spectroscopy for Measurement of Microcavity Dispersion

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    While being invented for precision measurement of single atomic transitions, frequency combs have also become a versatile tool for broadband spectroscopy in the last years. In this paper we present a novel and simple approach for broadband spectroscopy, combining the accuracy of an optical fiber-laser-based frequency comb with the ease-of-use of a tunable external cavity diode laser. This scheme enables broadband and fast spectroscopy of microresonator modes and allows for precise measurements of their dispersion, which is an important precondition for broadband optical frequency comb generation that has recently been demonstrated in these devices. Moreover, we find excellent agreement of measured microresonator dispersion with predicted values from finite element simulations and we show that tailoring microresonator dispersion can be achieved by adjusting their geometrical properties

    Temporal Logic Control of POMDPs via Label-based Stochastic Simulation Relations

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    The synthesis of controllers guaranteeing linear temporal logic specifications on partially observable Markov decision processes (POMDP) via their belief models causes computational issues due to the continuous spaces. In this work, we construct a finite-state abstraction on which a control policy is synthesized and refined back to the original belief model. We introduce a new notion of label-based approximate stochastic simulation to quantify the deviation between belief models. We develop a robust synthesis methodology that yields a lower bound on the satisfaction probability, by compensating for deviations a priori, and that utilizes a less conservative control refinement

    Multiple interval mapping of QTLs and epistasis for iron toxicity tolerance in segregating population of Indica rice

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    The global average temperature has increased by approximately 0.5 °C, over a last few decades and is projected to continue to increase. Environmental stress factors such as, elevated temperature, salinity, toxic elements (Fe, Al, Cd, Cr, Pb, Zn and As), drought and rising CO2 affect plant growth and make a growing threat to agriculture. Rice is a primary food crop in the world and the establishment of rice crop in acidic soil and in marginal soil is a major goal for the improvement of rice production to fulfill the food security. Among environmental stresses, Fe2+ toxicity is one of the main stresses in limiting the cereal crops production. Tolerant rice genotypes that can tolerate the high concentration of Fe2+ toxicity are the potential source genes for rice tolerance improvement in Fe2+ toxicity. In this research work, the genetic basis of seed germination traits and growth traits was investigated in rice using (multiple interval mapping) MIM. Many rice genotypes serve as source of tolerant against toxic metal ion like Fe2+, could be an important factor in controlling the sever effect of Fe2+ toxicity on germination and seedling growth traits.  The F3 progenies of cross between Fe2+ toxicity tolerant cultivar ‘Pokkali’ and susceptible cultivar ‘Pak basmati’ were test against the optimized level of Fe2+ toxicity at germination, to determine the mode of inheritance to Fe2+ toxicity tolerance. Wide range of continues variation was found in F3 progenies. Among the 49 quantitative germination trait and 23 growth trait loci (QTLs) on chromosomes 1, 2, 4, 6, 8 and 9 linked with tolerance to Fe2+ toxicity was mapped. Additionally, 21 QTLs for germination traits and 9 QTLs for growth traits were classified as major QTLs using MIM. For germination and growth traits, notable epistasis between the chromosome 1, 2, 4, 6 and 11 was detected across germination and growth traits. Our results suggest that the tolerance mechanisms at germination and seedling phases could differ for Fe2+ toxicity. QTLs detected in this study for germination and seedling growth could be a source of new alleles for development of tolerance rice to Fe2+ toxicity varieties and transformation, gene cloning and gene editing in the futur
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