10,979 research outputs found

    Productions of X(1835) as baryonium with sizable gluon content

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    The X(1835) has been treated as a baryonium with sizable gluon content, and to be almost flavor singlet. This picture allows us to rationally understand X(1835) production in J/ψJ/\psi radiative decays, and its large couplings with ppˉp\bar{p}, ηππ\eta^{\prime}\pi\pi. The processes Υ(1S)γX(1835)\Upsilon(1S)\to \gamma X(1835) and J/ψωX(1835)J/\psi\to \omega X(1835) have been examined. It has been found that Br(Υ(1S)γX(1835))Br(X(1835)ppˉ)<6.45×107Br(\Upsilon(1S)\to\gamma X(1835))Br(X(1835)\to p\bar{p})<6.45\times10^{-7}, which is compatible with CLEO's recently experimental result (Phys.Rev.D73\mathbf{D73} (2006) 032001;hep-ex/0510015). The branching fractions of Br(J/ψωX(1835))Br(J/\psi\to\omega X(1835)), Br(J/ψρX(1835))Br(J/\psi\to\rho X(1835)) with X(1835)ppˉX(1835)\to p\bar{p} and X(1835)ηπ+πX(1835)\to\eta^{\prime}\pi^{+}\pi^{-} have been estimated by the quark-pair creation model. We show that they are heavily suppressed, so the signal of X(1835) is very difficult, if not impossible, to be observed in these processes. The experimental checks for these estimations are expected. The existence of the baryonium nonet is conjectured, and a model independent derivation of their production branching fractions is presented.Comment: 21 pages, 4 figure

    Targeted online password guessing:an underestimated threat

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    While trawling online/offline password guessing has been intensively studied, only a few studies have examined targeted online guessing, where an attacker guesses a specific victim's password for a service, by exploiting the victim's personal information such as one sister password leaked from her another account and some personally identifiable information (PII). A key challenge for targeted online guessing is to choose the most effective password candidates, while the number of guess attempts allowed by a server's lockout or throttling mechanisms is typically very small. We propose TarGuess, a framework that systematically characterizes typical targeted guessing scenarios with seven sound mathematical models, each of which is based on varied kinds of data available to an attacker. These models allow us to design novel and efficient guessing algorithms. Extensive experiments on 10 large real-world password datasets show the effectiveness of TarGuess. Particularly, TarGuess I~IV capture the four most representative scenarios and within 100 guesses: (1) TarGuess-I outperforms its foremost counterpart by 142% against security-savvy users and by 46% against normal users; (2) TarGuess-II outperforms its foremost counterpart by 169% on security-savvy users and by 72% against normal users; and (3) Both TarGuess-III and IV gain success rates over 73% against normal users and over 32% against security-savvy users. TarGuess-III and IV, for the first time, address the issue of cross-site online guessing when given the victim's one sister password and some PII

    Improving accuracy of protein contact prediction using balanced network deconvolution

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    Residue contact map is essential for protein three‐dimensional structure determination. But most of the current contact prediction methods based on residue co‐evolution suffer from high false‐positives as introduced by indirect and transitive contacts (i.e., residues A–B and B–C are in contact, but A–C are not). Built on the work by Feizi et al. (Nat Biotechnol 2013; 31:726–733), which demonstrated a general network model to distinguish direct dependencies by network deconvolution, this study presents a new balanced network deconvolution (BND) algorithm to identify optimized dependency matrix without limit on the eigenvalue range in the applied network systems. The algorithm was used to filter contact predictions of five widely used co‐evolution methods. On the test of proteins from three benchmark datasets of the 9th critical assessment of protein structure prediction (CASP9), CASP10, and PSICOV (precise structural contact prediction using sparse inverse covariance estimation) database experiments, the BND can improve the medium‐ and long‐range contact predictions at the L/5 cutoff by 55.59% and 47.68%, respectively, without additional central processing unit cost. The improvement is statistically significant, with a P‐value < 5.93 × 10−3 in the Student's t‐test. A further comparison with the ab initio structure predictions in CASPs showed that the usefulness of the current co‐evolution‐based contact prediction to the three‐dimensional structure modeling relies on the number of homologous sequences existing in the sequence databases. BND can be used as a general contact refinement method, which is freely available at: http://www.csbio.sjtu.edu.cn/bioinf/BND/. Proteins 2015; 83:485–496. © 2014 Wiley Periodicals, Inc.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/110720/1/prot24744.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/110720/2/prot24744-sup-0001-suppinfo.pd
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