9,752 research outputs found

    BcB_{c} {\to} BPBP, BVBV decays with the QCD factorization approach

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    We studied the nonleptonic BcB_{c} {\to} BPBP, BVBV decay with the QCD factorization approach. It is found that the Cabibbo favored processes of BcB_{c} {\to} BsπB_{s}{\pi}, BsρB_{s}{\rho}, BuKˉB_{u}\bar{K} are the promising decay channels with branching ratio larger than 1\%, which should be observed earlier by the LHCb Collaboration.Comment: 15 pages, revtex4, version appeared in Advances in High Energy Physic

    The Correlation Between Snakebites And Meteorological Variations

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    Background: In the United States, approximately 45,000 snakebites occur annually and affect many people including veterinarians and farmers.1 Snakebites can cause significant pain and morbidity such as severe bleeding and skin necrosis. Better predictive information on snakebite risk could help prevent snakebites by identifying high risk time periods, weather patterns, and locations. Methods: This was a retrospective analysis of the New Mexico State Poison Control Center data between January 1998 and December 2012. Monthly average meteorological data were obtained from the Parameter-elevation Regressions on Independent Slopes Model climate group. Locations of the bites were categorized as urban or rural based on the National Center for Health Statistics urban-rural classification scheme for counties. Poison regression modeling was used to evaluate the influence of urban-rural locations and meteorological factors on snakebite incidence. Results: A total of 928 snakebites was reported and the number per year appeared to be trending up in recent years. The groups most affected by snakebites were males and those aged 45 to 49 years. Most snakebite cases were of moderate medical severity and were reported in the late afternoon or evening. A trend of increasing incidence was noted. A Poisson regression model was constructed, which found a positive association between snakebite incidence and population density in rural areas as well as higher monthly average minimum temperature. Being in an urban location was negatively associated with snakebite incidences. Discussion: In this study, the majority of the reported snakebites resulted in significant morbidity and males were disproportionately affected by snakebites. Snakebites were more common in rural areas, and during times of higher minimum temperature. These findings suggest that predictive models for snakebite risk may be helpful in shaping preventive strategies

    Research on Decision Market Model of Public Decision Problems in the Context of Big Data

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    Decision markets are a method of community information gathering, so that market methods can be used to deal with public decision problems. The decision made by the decision makers can be shown as an equilibrium price. This thesis would design a Public Decision Markets model based on the principles of futures market. By using market principles to gather public decision preferences and use the equilibrium price to represent understandings. This model would be able to represent public intelligence level on public decision making. First transferring the binary decision market into a tradeable contract. Then make personal trading decisions under market environments. Finally, calculate the equilibrium price based on the total demand and total supply, providing a group consensus on the public decision issue. At the end of the thesis, it would provide cases where publicity tactics were decided upon the market acceptance. Proving this public decision model can effectively generate decision under big data context, while the tendency of group consensus was underestimated
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