572 research outputs found
Search for Higgs boson decays into a Z boson and a light hadronically decaying resonance in pp collisions at s =13 TeV with the ATLAS detector
No full textA search for decays of the Higgs boson into a boson and a light resonance, with a mass of 0.5-3.5 GeV, is performed using the full 140 fb dataset of 13 TeV proton-proton collisions recorded by the ATLAS detector during Run 2 of the LHC. Leptonic decays of the boson and hadronic decays of the light resonance are considered. The resonance can be interpreted as a or meson, an axion-like particle, or a light pseudoscalar in two-Higgs-doublet models. Due to its low mass, it would be produced with high boost and reconstructed as a single small-radius jet of hadrons. A neural network is used to correct the Monte Carlo simulation of the background in a data-driven way. Two additional neural networks are used to distinguish signal from background. A binned profile-likelihood fit is performed on the final-state invariant mass distribution. No significant excess of events relative to the expected background is observed, and upper limits at 95% confidence level are set on the Higgs boson's branching fraction to a boson and a light resonance. The exclusion limit is ~10% for the lower masses, and increases for higher masses. Upper limits on the effective coupling of an axion-like particle to a Higgs boson and boson are also set at 95% confidence level, and range from 0.9 to 2 TeV
Industrial applications of X-Ray Photoelectron Spectroscopy (XPS) in India
No full textThis review paper summarizes the industrial applications of XPS in India from open literature. Many industrial research and development centers in India, except for a few, do not have in-house XPS systems, and leverage either the instruments available at many government laboratories or universities across various locations in India, or their in-house instruments in other parts of the world for their research activities. While XPS is being used for a wide range of applications, based on an exhaustive literature search by the author, an understanding of the scientific basis of the technique as well as related analytical techniques such as X-ray Excited Auger Electron Spectroscopy (XAES) and depth profiling, the instrumentation, the measurement, and interpretation of the results could be improved. This could potentially avoid artifacts as well as misinterpretation of results. This paper also highlights a few key points that must be considered while measuring and interpreting XPS data
Models Predicting Effects of Missense Mutations in Oncogenesis
No full textThe recent avalanche in high-throughput genotyping, next generation sequencing technologies and re-sequencing of cancer genomes has revolutionized the field of cancer genomics. It has generated a humungous amount of mutational data and changed the way the cancer is being studied. Identification and characterization of these mutations and their mutational effect has become one of the major goals of cancer research. We present here a computational geometry approach based on the application of Delaunay tessellation derived four-body statistical potential function where the potentials are directly derived from the high-resolution protein x-ray crystallographic structures utilizing their atomic coordinates. Proteins and their mutants are characterized by potential topological scores and profiles, which measure the relative change in the overall sequence-structure compatibility. Residual scores and profiles are generated which quantify environmental perturbations from wild-type amino acids at every mutational position. We also present here an integrated database of human cancer missense mutations linked to their 3D structures, which has been created with the whole motivation of building a one stop shop of human missense mutations data sets huge and versatile enough to be used for training and testing of machine learning methodologies. With protein data from this database, we illustrate the use of potential topological cores and residual profiles in the prediction of mutational effects on protein structure and function and generating predictive models using machine-learning algorithms. We successfully apply supervised learning to training sets of protein mutants and generate models, which make statistically meaningful predictions of effects of missense mutations on cancer proteins.This work was embargoed by the author and will not be available until May 2015
Measurement of the Z boson invisible width at s=13 TeV with the ATLAS detector
No full textA measurement of the invisible width of the boson using events with jets and missing transverse momentum is presented using 37 fb−1 of 13 TeV proton–proton data collected by the ATLAS detector in 2015 and 2016. The ratio of → inv to → events, where inv refers to non-detected particles and is either an electron or a muon, is measured and corrected for detector effects. Events with at least one energetic central jet with T ≥ 110 GeV are selected for both the → inv and → final states to obtain a similar phase space in the ratio. The invisible width is measured to be 506 ± 2 (stat.) ± 12 (syst.) MeV and is the single most precise recoil-based measurement. The result is in agreement with the most precise determination from LEP and the Standard Model prediction based on three neutrino generations.The ATLAS Collaboratio
Search for a new scalar decaying into new spin-1 bosons in four-lepton final states with the ATLAS detector
No full textATLAS searches for additional scalars and exotic Higgs boson decays with the LHC Run 2 dataset
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Measurement of the top quark mass with the ATLAS detector using t t ¯ events with a high transverse momentum top quark
No full textMeasurement of jet track functions in pp collisions at s = 13 TeV with the ATLAS detector
No full textKnowledge And Attitudes of Anganwadi Workers About Breast Feeding in The Field Practice Area of Tertiary Care Hospital, Hyderabad
No full textBackground: Breast feeding is one of the most important determinants of child survival, birth spacing and prevention of childhood infections. It is important for the Anganwadi workers to have adequate scientific knowledge about breast feeding practices. . Hence this study was conducted to assess the knowledge and attitude of AWW with regards to breast feeding practices.
Methodology: A facility based cross sectional study was conducted covering all 68 ICDS centers. A pretested semi-structured questioner was given to all AWWs. All questions were read out and explained by the author and all queries were clarified.
Results: only 70 % AWW believed that breast feeding should be given on demand and 75 % AWWs believed that bottle is better than katori & spoon for infant feeding. 40% said breastfeeding should be stopped if mother is sick. Most of AWW (98%) believed that almonds and dry fruits increase breast milk secretion.
Conclusion: Present research draws very important conclusions that although knowledge of AWW regarding initiation of breast feeding is high but their knowledge regarding prelecteal feeds, feeding on demand, bottle feeding and breast feeding during sickness needs further improvement
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