53,086 research outputs found

    Study of the electron trigger efficiency of the CMS Experiment using test beam data

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    A study of the electron identification and selection efficiency of the L1 Trigger algorithm has been performed using the combined ECAL/HCAL test beam data. A detailed discussion of the electron isolation and its impact on the selection efficiency is presented. The L1 electron algorithm is studied for different beam energies and the results indicate that efficiencies of 98% or more can be achieved for electrons with energies between 15 and 100 GeV. The fraction of charged hadrons with energies from 3 up to 100 GeV rejected by the L1 electron trigger algorithm is estimated to be larger than 93%.Comment: 22 pages, 14 figure

    Academic entrepreneurship : a source of competitive advantage

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    This�report is the result of a cooperation between�EIM,�Erasmus University�and Indiana University. The study has largely been executed by students of�the assocation�'Le Manageur'�under supervision of�the above institutions. The study evaluates university�spin-offs�in the transfer of� technology from universities into society and provides a comparative case study of spin-off� stimulation. The study concludes that governments that would like to tackle�problems in�knowledge transfer between firms and public institutions should�encourage knowledge institutions to adopt a more proactive stance towards commercialization and cooperation. Stimulating an entrepreneurial spirit and knowledge spin-offs in public research and educational institutions�can help overcome many of the problems in knowledge transfer. This research shows that spin-offs�are�a good supplement to existing transfer mechanisms such as�licensing and contract research. University spin-offs�are a good way to transfer�radical and incremental technologies�to society.�This form of technology transfer does require a strong supporting infrastructure and sufficient entrepreneurial human capital.

    SEAD: Preserving Data for Environmental Sciences in Areas of Climate, Land-Use, and Environmental Management

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    NSF Funded DataNet Project #OCI0940824 • SEAD goal is to contribute infrastructure to the NSF DataNet Vision that supports data • Access • Sharing • Reuse • Preservation • Direct work with data at the NSF STC NCED (National Center for Earth-Surface Dynamics

    Transethnic genome-wide scan identifies novel Alzheimer\u27s disease loci

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