BAYESIAN NEURAL NETWORKS FOR FAST SUSY PREDICTIONS

Bayesian neural networks for fast SUSY predictions

One of the goals of current particle physics research is to obtain evidence for new physics, that is, physics beyond the Standard Model (BSM), at accelerators such as the Large Hadron Collider (LHC) at CERN.The searches for new physics are often guided by BSM theories that depend on many unknown parameters, which, in some cases, makes testing their

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A Historical Analysis of Public Communication of Science in the Public Science Magazines published during 1910-2010

Purpose: This study illuminates some lights on public communication dissemination of science magazines as a possible contributive factor to the structural changes in the public communication of Science in Iranian society.Methodology: A historical analysis of some documents representing the status of Science in Iran was conducted.It also conducted a

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What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana

Abstract Background Evidence-based decision-making for prioritising health is assisted by health technology assessment (HTA) to integrate data on effectiveness, costs and equity to support transparent decisions.Ghana is moving towards universal health coverage, facilitated mainly by the National Health Insurance Scheme (NHIS) established in 2003.Th

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