Exploring the Inert Doublet Model through the dijet plus missing transverse energy channel at the LHC

In this study of the Inert Doublet Model (IDM), we propose that the dijet + missing transverse energy channel at the Large Hadron Collider (LHC) will be an effective way of searching for the scalar particles of the IDM. This channel receives contributions from gauge boson fusion, and $t-$channel production, along with contributions from $H^+$ associated production. We perform the analysis including study of the Standard Model (SM) background with assumed systematic uncertainty, and optimise the selection criteria employing suitable cuts on the kinematic variables to maximise the signal significance. We find that with high luminosity option of the LHC, this channel has the potential to probe the IDM in the mass range of up to about 400 GeV, which is not accessible through other leptonic channels. In a scenario with light dark matter of mass about 65 GeV, charged Higgs in the mass range of around 200 GeV provides the best possibility with a signal significance of about $2\sigma$ at an integrated luminosity of about 3000 fb$^{-1}$.Comment: 16 pages, 3 figures, pdflatex; tables modified with new selection criteria to accommodate systematics. version to appear in PL

Accelerating Malnutrition Reduction in Orissa

Orissa has performed better than the Indian average in terms of the rate of malnutrition reduction. This positive trend is supported by NFHS data, independent survey data and the State's own monitoring data. Despite this good news, absolute rates remain high with 40 per cent of children under five malnourished, rising to 54 per cent amongst the tribal population. Encouraging progress but recognition of a long way to go has triggered the Department of Women and Child Development to develop a new operational plan to accelerate the pace of malnutrition reduction. The Nutrition Plan is based on five principles, the key being targeting the most vulnerable in high burden districts. Review of national and international experience, analysis of the Department's data, plus primary data collection to fill information gaps, have created an evidence?based Plan which provides a challenging but realistic map for reaching an average annual malnutrition reduction of 3.5 percent

Soil and Rhizosphere Associated Fungi in Gray Mangroves (Avicennia marina) from the Red Sea — A Metagenomic Approach

Covering a quarter of the world’s tropical coastlines and being one of the most threatened ecosystems, mangroves are among the major sources of terrestrial organic matter to oceans and harbor a wide microbial diversity. In order to protect, restore, and better understand these ecosystems, researchers have extensively studied their microbiology, yet few surveys have focused on their fungal communities. Our lack of knowledge is even more pronounced for specific fungal populations, such as the ones associated with the rhizosphere. Likewise, the Red Sea gray mangroves (Avicennia marina) remain poorly characterized, and understanding of their fungal communities still relies on cultivation-dependent methods. In this study, we analyzed metagenomic datasets from gray mangrove rhizosphere and bulk soil samples collected in the Red Sea coast, to obtain a snapshot of their fungal communities. Our data indicated that Ascomycota was the dominant phylum (76%–85%), while Basidiomycota was less abundant (14%–24%), yet present in higher numbers than usually reported for such environments. Fungal communities were more stable within the rhizosphere than within the bulk soil, both at class and genus level. This finding is consistent with the intrinsic patchiness in soil sediments and with the selection of specific microbial communities by plant roots. Our study indicates the presence of several species on this mycobiome that were not previously reported as mangrove-associated. In particular, we detected representatives of several commercially-used fungi, e.g., producers of secreted cellulases and anaerobic producers of cellulosomes. These results represent additional insights into the fungal community of the gray mangroves of the Red Sea, and show that they are significantly richer than previously reported

Imprinting regulates mammalian snoRNA-encoding chromatin decondensation and neuronal nucleolar size

Imprinting, non-coding RNA and chromatin organization are modes of epigenetic regulation that modulate gene expression and are necessary for mammalian neurodevelopment. The only two known mammalian clusters of genes encoding small nucleolar RNAs (snoRNAs), SNRPN through UBE3A(15q11–q13/7qC) and GTL2(14q32.2/12qF1), are neuronally expressed, localized to imprinted loci and involved in at least five neurodevelopmental disorders. Deficiency of the paternal 15q11–q13 snoRNA HBII-85 locus is necessary to cause the neurodevelopmental disorder Prader–Willi syndrome (PWS). Here we show epigenetically regulated chromatin decondensation at snoRNA clusters in human and mouse brain. An 8-fold allele-specific decondensation of snoRNA chromatin was developmentally regulated specifically in maturing neurons, correlating with HBII-85 nucleolar accumulation and increased nucleolar size. Reciprocal mouse models revealed a genetic and epigenetic requirement of the 35 kb imprinting center (IC) at the Snrpn–Ube3a locus for transcriptionally regulated chromatin decondensation. PWS human brain and IC deletion mouse Purkinje neurons showed significantly decreased nucleolar size, demonstrating the essential role of the 15q11–q13 HBII-85 locus in neuronal nucleolar maturation. These results are relevant to understanding the molecular pathogenesis of multiple human neurodevelopmental disorders, including PWS and some causes of autism

Homogeneous and heterogeneous catalysts for multicomponent reactions

[EN] Organic synthesis performed through multicomponent reactions is an attractive area of research in organic chemistry. Multicomponent reactions involve more than two starting reagents that couple in an exclusive ordered mode under the same reaction conditions to form a single product which contains the essential parts of the starting materials. Multicomponent reactions are powerful tools in modern drug discovery processes, because they are an important source of molecular diversity, allowing rapid, automated and high throughput generation of organic compounds. This review aims to illustrate progress in a large variety of catalyzed multicomponent reactions performed with acid, base and metal heterogeneous and homogeneous catalysts. Within each type of multicomponent approach, relevant products that can be obtained and their interest for industrial applications are presented.The authors wish to gratefully acknowledge the Generalitat Valenciana for the financial support in the project CONSOLIDER-INGENIO 2010 (CSD2009-00050)Climent Olmedo, MJ.; Corma Canós, A.; Iborra Chornet, S. (2012). Homogeneous and heterogeneous catalysts for multicomponent reactions. RSC Advances. 2(1):16-58. https://doi.org/10.1039/c1ra00807bS16582

Drivers of Growth in Fast Emerging Economies: A Dynamic Instrumental Quantile Approach

This study complements the scarce literature on growth determinants in fast emerging economies of the BRICS and MINT by assessing the determinants throughout the conditional distributions of the growth rate and real GDP output for the period 2001-2011. An instrumenal variable (IV) quantile regression approach is complemented with Two-Stage-Least Squares and IV Least Absolute Deviations. The instrumentation process is dynamic. The following findings are established. First, while Gross FDI has a negative effect on economic growth, the impact of Net FDI is positive, with a higher magnitude in top quantiles of the distributions. Second, the positive effect of natural resources is more apparent in countries with low initial growth levels. Third, the impact of telecommunications infrastructure is not very significant. Fourth, whereas the incidence of bank credit is positive for GDP growth, it is negative for real GDP output. Fifth, while trade openness is positive in bottom quantiles of GDP growth, but for the highest quantile in real GDP output, it is consistently negative on real GDP output. Sixth, while the incidence of political stability is negative on GDP growth, it is positive on real GDP output, with the negative (positive) effect apparent only in top (bottom) quantiles of GDP growth (real GDP output). Policy implications are discussed

Pseudo-shock waves and their interactions in high-speed intakes

In an air-breathing engine the flow deceleration from supersonic to subsonic conditions takes places inside the isolator through a gradual compression consisting of a series of shock waves. The wave system, referred to as a pseudo-shock wave or shock train, establishes the combustion chamber entrance conditions, and therefore influences the performance of the entire propulsion system. The characteristics of the pseudo-shock depend on a number of variables which make this flow phenomenon particularly challenging to be analysed. Difficulties in experimentally obtaining accurate flow quantities at high speeds and discrepancies of numerical approaches with measured data have been readily reported. Understanding the flow physics in the presence of the interaction of numerous shock waves with the boundary layer in internal flows is essential to developing methods and control strategies. To counteract the negative effects of shock wave/boundary layer interactions, which are responsible for the engine unstart process, multiple flow control methodologies have been proposed. Improved analytical models, advanced experimental methodologies and numerical simulations have allowed a more in-depth analysis of the flow physics. The present paper aims to bring together the main results, on the shock train structure and its associated phenomena inside isolators, studied using the aforementioned tools. Several promising flow control techniques that have more recently been applied to manipulate the shock wave/boundary layer interaction are also examined in this review

Determinants of Growth in Fast Developing Countries: Evidence from Bundling and Unbundling Institutions

Purpose – We assess growth determinants in the BRICS (Brazil, Russia, India, China and South Africa) and MINT (Mexico, Indonesia, Nigeria and Turkey) fast-developing nations for the period 2001-2011. Particular emphasis is laid on the bundling and unbundling of ten governance dynamics. Design/methodology/approach- Contemporary and non-contemporary Fixed- and Random-Effects regressions are employed as empirical strategies. GDP growth and real GDP output are used as dependent variables. The governance variables are bundled by means of principal component analysis. Findings- The following are some findings. First, governance is more positively significant in non-contemporary specifications as opposed to contemporary regressions. Second, there is some interesting evidence on the heterogeneity of political governance as a driver. Political governance and its constituents (political stability and voice & accountability) are significantly positive in GDP growth but insignificant in real GDP output regressions. Third, the other governance dynamics are more significant determinants of real GDP output, as opposed to GDP growth. Accordingly, they are insignificant in contemporary regressions and negatively significant in non-contemporary regressions for GDP growth. Fourth, the constituents of economic governance have the highest magnitude in the positive effects of governance dynamics on real GDP output. Practical implications- The following are some practical implications. First, lag determinants are necessary for growth targeting or timing of growth dynamics. Growth drivers for the most part are more significantly determined by past information. Second, political governance is the most important driver of economic growth, with the significance of effects more apparent in non-contemporary regressions. Third, economic governance and institutional governance are more positively predisposed to driving real GDP output than GDP growth. Originality/value- As far as we have reviewed, it is the first study to investigate growth determinants in the BRICS and MINT nations. It has strong implications for other developing countries on the conte