Jet cross sections have been measured for the first time in proton-proton collisions at a centre-of-mass energy of 7 TeV using the ATLAS detector. The measurement uses an integrated luminosity of 17 nb −1 recorded at the Large Hadron Collider. The anti-k t algorithm is used to identify jets, with two jet resolution parameters, R = 0.4 and 0.6. The dominant uncertainty comes from the jet energy scale, which is determined to within 7% for central jets above 60 GeV transverse momentum. Inclusive single-jet differential cross sections are presented as functions of jet transverse momentum and rapidity. Dijet cross sections are presented as functions of dijet mass and the angular variable χ. The results are compared to expectations based on next-toleading-order QCD, which agree with the data, providing a validation of the theory in a new kinematic regime.

Making use of 36 pb −1 of proton-proton collision data at √ s = 7 TeV, the ATLAS Collaboration has performed a search for diphoton events with large missing transverse energy. Observing no excess of events above the Standard Model prediction, a 95% Confidence Level (CL) upper limit is set on the cross section for new physics of σ < 0.38−0.65 pb in the context of a generalised model of gauge-mediated supersymmetry breaking (GGM) with a bino-like lightest neutralino, and of σ < 0.18−0.23 pb in the context of a specific model with one universal extra dimension (UED). A 95% CL lower limit of 560 GeV, for bino masses above 50 GeV, is set on the GGM gluino mass, while a lower limit of 1/R > 961 GeV is set on the UED compactification radius R. These limits provide the most stringent tests of these models to date.

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The 17 August 1999 İzmit, Turkey, earthquake (M∼7.4) was the latest in a long series of large seismic events to occur along the North Anatolian Fault Zone. The detailed recording of earthquakes in the İzmit region, from anti-quity to recent times, has allowed a unique archive to be developed that is invaluable to present day seismologists. Additionally, historical building practices, in particular the incorporation of the hatıl or ringbeam, indicate that adaptations to earthquakes in the form of seismic cultures were present in Turkey during Byzantine and Ottoman times and can be re-evaluated in relation to contemporary building practices. This is particularly important with respect to the potential threat now facing the population of İstanbul, a large proportion of which are in a highly vulnerable position. This paper suggests that “experts” use this seismic knowledge to produce a meaningful account of earthquake hazard for local people in order to reduce marginalization in case of a future event.

Electronic health records, evidence-based medicine, information storage and retrieval, point of care technology, user-computer interface SummaryObjective: To better understand the literature searching preferences of clinical providers we conducted an institution-wide survey assessing the most preferred knowledge searching techniques. Materials and Methods: A survey regarding literature searching preferences was sent to 1862 unique clinical providers throughout Mayo Clinic. The survey consisted of 25 items asking respondents to select which clinical scenarios most often prompt literature searches as well as identify their most preferred knowledge resources. Results: A total of 450 completed surveys were returned and analyzed (24% response rate). 48% of respondents perform literature searches for more than half of their patient interactions with 91% of all searches occurring either before or within 3 hours of the patient interaction. When a search is performed 57% of respondents prefer synthesized information sources as compared to only 13% who prefer original research. 82% of knowledge searches are performed on a workstation or office computer while just 10% occur on a mobile device or at home. Conclusion:Providers in our survey demonstrate a need to answer clinical questions on a regular basis, especially in the diagnosis and therapy domains. Responses suggest that most of these searches occur using synthesized knowledge sources in the patient care setting within a very short time from the patient interaction.