343 research outputs found
Strategy development for the reform of the state care system for children deprived of parental care living in state care institutions
Atomic spectrometry update. Review of advances in the analysis of metals, chemicals and materials
Volunteer Voices: Tennessee\u27s Collaborative Digitization Program
This article provides an overview of Volunteer Voices, Tennessee’s statewide digitization program. The authors focus on the three-year Institute of Museum and Library Services (IMLS) National Leadership Grant that provided the foundation for future growth of the digitization program. In addition to an overview of the content selection, metadata issues, software selection, digital preservation, and K-12 education emphasis of the grant project, the article includes a detailed description of the work done by the digitization and content specialists from across the state who selected and scanned items. The article concludes with a look at post-grant efforts to promote the sustainability of Volunteer Voices
Volunteer Voices: Tennessee’s Collaborative Digitization Program
This article provides an overview of Volunteer Voices, Tennessee’s statewide digitization program. The authors focus on the three-year Institute of Museum and Library Services (IMLS) National Leadership Grant that provided the foundation for future growth of the digitization program. In addition to an overview of the content selection, metadata issues, software selection, digital preservation, and K-12 education emphasis of the grant project, the article includes a detailed description of the work done by the digitization and content specialists from across the state who selected and scanned items. The article concludes with a look at post-grant efforts to promote the sustainability of Volunteer Voices
Should we still believe in constrained supersymmetry?
We calculate Bayes factors to quantify how the feasibility of the constrained
minimal supersymmetric standard model (CMSSM) has changed in the light of a
series of observations. This is done in the Bayesian spirit where probability
reflects a degree of belief in a proposition and Bayes' theorem tells us how to
update it after acquiring new information. Our experimental baseline is the
approximate knowledge that was available before LEP, and our comparison model
is the Standard Model with a simple dark matter candidate. To quantify the
amount by which experiments have altered our relative belief in the CMSSM since
the baseline data we compute the Bayes factors that arise from learning in
sequence the LEP Higgs constraints, the XENON100 dark matter constraints, the
2011 LHC supersymmetry search results, and the early 2012 LHC Higgs search
results. We find that LEP and the LHC strongly shatter our trust in the CMSSM
(with and below 2 TeV), reducing its posterior odds by a factor
of approximately two orders of magnitude. This reduction is largely due to
substantial Occam factors induced by the LEP and LHC Higgs searches.Comment: 38 pages, 14 figures; version as published in EPJ
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