1,216 research outputs found

    Electromagnetic form factor of pion from N_f=2+1 dynamical flavor QCD

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    We present a calculation of the electromagnetic form factor of the pion in Nf=2+1N_f=2+1 flavor lattice QCD. Calculations are made on the PACS-CS gauge field configurations generated using Iwasaki gauge action and Wilson-clover quark action on a 323×6432^3\times64 lattice volume with the lattice spacing estimated as a=0.0907(13)a=0.0907(13) fm at the physical point. Measurements of the form factor are made using the technique of partially twisted boundary condition to reach small momentum transfer as well as periodic boundary condition with integer momenta. Additional improvements including random wall source techniques and a judicious choice of momenta carried by the incoming and outgoing quarks are employed for error reduction. Analyzing the form factor data for the pion mass at Mπ≈411M_\pi \approx 411 MeV and 296 MeV, we find that the NNLO SU(2) chiral perturbation theory fit yields =0.441±0.046fm2=0.441 \pm 0.046 {\rm fm}^2 for the pion charge radius at the physical pion mass. Albeit the error is quite large, this is consistent with the experimental value of 0.452±0.011fm20.452\pm 0.011 {\rm fm}^2. Below Mπ≈300M_\pi\approx 300 MeV, we find that statistical fluctuations in the pion two- and three-point functions become too large to extract statistically meaningful averages on a 32332^3 spatial volume. We carry out a sample calculation on a 64464^4 lattice with the quark masses close to the physical point, which suggests that form factor calculations at the physical point become feasible by enlarging lattice sizes to MπL≈4M_\pi L\approx 4.Comment: 28 pages, 14 figure

    Chiral Extrapolation of the Strangeness Changing K pi Form Factor

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    We perform a chiral extrapolation of lattice data on the scalar K pi form factor and the ratio of the kaon and pion decay constants within Chiral Perturbation Theory to two loops. We determine the value of the scalar form factor at zero momentum transfer, at the Callan-Treiman point and at its soft kaon analog as well as its slope. Results are in good agreement with their determination from experiment using the standard couplings of quarks to the W boson. The slope is however rather large. A study of the convergence of the chiral expansion is also performed.Comment: few minor change

    Analysis of RAD51C germline mutations in high-risk breast and ovarian cancer families and ovarian cancer patients

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    There is strong evidence that overtly inactivating mutations in RAD51C predispose to hereditary breast and ovarian cancer but the prevalence of such mutations, and whether they are associated with a particular clinical phenotype, remains unclear. Resolving these questions has important implications for the implementation of RAD51C into routine clinical genetic testing. Consequently, we have performed a large RAD51C mutation screen of hereditary breast and ovarian cancer families, and the first study of unselected patients diagnosed with ovarian cancer. Our data confirm a consistent but low frequency (2/335 families) of inactivating RAD51C mutations among families with a history of both breast and ovarian cancer and an absence of mutations among breast cancer only families (0/1,053 families). Our data also provide support for the designation of the missense variant p.Gly264Ser as a moderate penetrance allele

    Survival of the Systems

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    This is the author accepted manuscript. The final version is available from cell Press via the DOI in this recordSince Darwin, individuals and more recently genes have been the focus of evolutionary thinking. The idea that selection operates on non-reproducing, higher-level systems including ecosystems or societies has met with scepticism. But research emphasising that natural selection can be based solely on differential persistence invites reconsideration of their evolution. Self-perpetuating feedback cycles involving biotic as well as abiotic components are critical to determining persistence. Evolution of autocatalytic networks of molecules is well studied, but the principles hold for any ‘self-perpetuating’ system. Ecosystem examples include coral reefs, rainforests and savannahs. Societal examples include agricultural systems, dominant belief systems and economies. Persistence-based selection of feedbacks can help us understand how ecological and societal systems survive or fail in a changing world
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