Depression, suicide, and giftedness: Disentangling risk factors, protective factors, and implications for optimal growth

Although exact incidences of depression and suicide among the gifted remain unknown, they are most likely in line with that of the larger student population. In the present chapter, we invoke two theoretical frameworks-person-environment fit theory and the Differentiated Model of Giftedness and Talent Development-to understand how intrapersonal, interpersonal, environmental, and developmental risk and protective factors manifest uniquely for gifted student populations. To better reflect the current status of gifted student development in the twenty-first century, we place special emphasis on two recent trends: social media use and cyberbullying, in addition to reviewing traditional literature as it relates to risk and protective factors. We place much emphasis on understanding possible unique contributors to the development of depression and suicide ideation among gifted students, but also on providing strategies for helping parents, teachers, and other caregivers. Implications of this chapter are for those who are interested in developing intervention strategies that consider developmental as well as epidemiological factors when exploring depression and suicide among the gifted

Performance of the ATLAS Detector using First Collision Data

More than half a million minimum-bias events of LHC collision data were collected by the ATLAS experiment in December 2009 at centre-of-mass energies of 0.9 TeV and 2.36 TeV. This paper reports on studies of the initial performance of the ATLAS detector from these data. Comparisons between data and Monte Carlo predictions are shown for distributions of several track- and calorimeter-based quantities. The good performance of the ATLAS detector in these first data gives confidence for successful running at higher energies

CMS : the TriDAS Project Technical Design Report; v.1, the Trigger Systems

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