The Epics Reinterpreted: Highlighting Feminist Issues While Sustaining Deep Motif

This article explores revisionist works based on the Ramayana and Mahabharata twin epics and looks at the voices of female protagonists. The main emphasis has been on the way that authoritative texts are utilized to create cultural hegemony on purpose for a particular impact. The article also highlights the power of stories and demonstrates how the textual politics in the retelling is directed towards achieving different outlines, especially the modern ideals of liberty, equality, and individuality. By providing a thorough study of the social and psychological struggles of epic women, the view also strikes at the fact that women encounter similar issues for generations. The review explores how Indian society’s patriarchal framework and social construction mistreated the epic heroines and how these elements still have an adverse effect on women in the present era. Their resistance patterns are used to classify and organize them

Synthesis and Antimicrobial Activity of 3-[(4-Substituted) (2-oxo-1,3-oxazolidin-3-yl) phosphoryl]- 1,3-oxazolidin-2-ones

3-[(4-Substituted) (2-oxo-1,3-oxazolidin-3-yl)-phosphoryl]-1,3-oxazolidin-2-ones (4a–j) were synthesized through a two-step process. Bis-(2-oxo-1,3-oxazolidin-3-yl)-phosphonic chloride (2) prepared by the reaction of two moles of oxazolidin-2-one (1) with phosphorus oxychloride in dry tetrahydrofuran in the presence of triethylamine and treatment with various heterocyclic aromatic and aliphatic amines under the same experimental conditions afforded the title compounds (4a–j). They were characterized by elemental analysis, IR,NMR(1H, 13Cand 31P) and mass spectroscopy. Their antimicrobial activities were also evaluated.Keywords: 3-[(4-Substituted) (2-oxo-1,3-oxazolidin-3-yl)-phosphoryl]-1,3-oxazolidin-2-ones, oxazolidin-2-one, bis-(2-oxo-1,3-oxazolidin-3-yl)-phosphonic chloride, antimicrobial activity, spectral studie

Effect of application of organic materials on growth and foliar nutrient contents of black pepper (Piper nigrum L.)

The effect of soil application of organic materials (leaves of Erythrina indica, Garuga pinnata, Grevilea robusta, Piper nigrum and Coffea arabica) on growth and nutrition of black pepper vines (Piper nigrum) was studied in pot culture experiments. A substantial increase in growth and biomass production was noticed in vines treated with organic materials as compared to control. However, application of leaves of C. arabica and P. nigrum at higher rates suppressed growth of vines probably due to allelopathic effects of the decay products of these materials in the soil. The rates of decomposition ofleafmaterials in the soil varied considerably. Leaves of C. arabica and G. robusta were the most persistent while that of G. pinnata was least resistant to decomposition. &nbsp

Effect of application of organic materials on growth and foliar nutrient contents of black pepper (Piper nigrum L.)

The effect of soil application of organic materials (leaves of Erythrina indica, Garuga pinnata, Grevilea robusta, Piper nigrum and Coffea arabica) on growth and nutrition of black pepper vines (Piper nigrum) was studied in pot culture experiments. A substantial increase in growth and biomass production was noticed in vines treated with organic materials as compared to control. However, application of leaves of C. arabica and P. nigrum at higher rates suppressed growth of vines probably due to allelopathic effects of the decay products of these materials in the soil. The rates of decomposition ofleafmaterials in the soil varied considerably. Leaves of C. arabica and G. robusta were the most persistent while that of G. pinnata was least resistant to decomposition. &nbsp

Severity scoring of manganese health effects for categorical regression

Characterizing the U-shaped exposure response relationship for manganese (Mn) is necessary for estimating the risk of adverse health from Mn toxicity due to excess or deficiency. Categorical regression has emerged as a powerful tool for exposure-response analysis because of its ability to synthesize relevant information across multiple studies and species into a single integrated analysis of all relevant data. This paper documents the development of a database on Mn toxicity designed to support the application of categorical regression techniques. Specifically, we describe (i) the conduct of a systematic search of the literature on Mn toxicity to gather data appropriate for dose-response assessment; (ii) the establishment of inclusion/exclusion criteria for data to be included in the categorical regression modeling database; (iii) the development of a categorical severity scoring matrix for Mn health effects to permit the inclusion of diverse health outcomes in a single categorical regression analysis using the severity score as the outcome variable; and (iv) the convening of an international expert panel to both review the severity scoring matrix and assign severity scores to health outcomes observed in studies (including case reports, epidemiological investigations, and in vivo experimental studies) selected for inclusion in the categorical regression database. Exposure information including route, concentration, duration, health endpoint(s), and characteristics of the exposed population was abstracted from included studies and stored in a computerized manganese database (MnDB), providing a comprehensive repository of exposure-response information with the ability to support categorical regression modeling of oral exposure data

Polymorphism in the FGFBP1 gene is associated with performance, carcass and meat quality traits in broilers.

Projeto/Plano de Ação: 01.06.10602-03

Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments

BACKGROUND: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating variability of gene expression measurements in microarray experiments is essential for correctly identifying differentially expressed genes. Several recently developed methods for testing differential expression of genes utilize hierarchical Bayesian models to "pool" information from multiple genes. We have developed a statistical testing procedure that further improves upon current methods by incorporating the well-documented relationship between the absolute gene expression level and the variance of gene expression measurements into the general empirical Bayes framework. RESULTS: We present a novel Bayesian moderated-T, which we show to perform favorably in simulations, with two real, dual-channel microarray experiments and in two controlled single-channel experiments. In simulations, the new method achieved greater power while correctly estimating the true proportion of false positives, and in the analysis of two publicly-available "spike-in" experiments, the new method performed favorably compared to all tested alternatives. We also applied our method to two experimental datasets and discuss the additional biological insights as revealed by our method in contrast to the others. The R-source code for implementing our algorithm is freely available at . CONCLUSION: We use a Bayesian hierarchical normal model to define a novel Intensity-Based Moderated T-statistic (IBMT). The method is completely data-dependent using empirical Bayes philosophy to estimate hyperparameters, and thus does not require specification of any free parameters. IBMT has the strength of balancing two important factors in the analysis of microarray data: the degree of independence of variances relative to the degree of identity (i.e. t-tests vs. equal variance assumption), and the relationship between variance and signal intensity. When this variance-intensity relationship is weak or does not exist, IBMT reduces to a previously described moderated t-statistic. Furthermore, our method may be directly applied to any array platform and experimental design. Together, these properties show IBMT to be a valuable option in the analysis of virtually any microarray experiment

Germinação em água biossalina de sementes de pepino osmocondicionadas.

Suplemento. Edição dos Anais do 52 Congresso Brasileiro de Olericultura, Salvador, jul. 2012

Demand based State Aware Channel Reconfiguration Algorithm for Multi-Channel Multi-Radio Wireless Mesh Networks

Efficient utilization of Multi Channel - Multi Radio (MC-MR) Wireless Mesh Networks (WMNs) can be achieved only by intelligent Channel Assignment (CA) and Link Scheduling (LS). Due to the dynamic nature of traffic demand in WMNs, the CA has to be reconfigured whenever traffic demand changes, in order to achieve maximum throughput in the network. The reconfiguration of CA requires channel switching which leads to disruption of ongoing traffic in the network. The existing CA algorithms for MC-MR WMNs in the literature do not consider the channel reconfiguration overhead that occurs due to this channel switching. In this paper, we propose a novel reconfiguration framework that considers both network throughput and reconfiguration overhead to quantitatively evaluate a reconfiguration algorithm. Based on the reconfiguration framework, we propose an online heuristic algorithm for CA called Demand based State Aware channel Reconfiguration Algorithm (DeSARA) that finds the CA for the current traffic demand by considering the existing CA of the network to minimize the reconfiguration overhead. We show through simulations that DeSARA outperforms both static CA and fully dynamic CA in terms of total achieved throughput