10,392 research outputs found

    Sources and Coverage of Medical News on Front Pages of US Newspapers

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    Background: Medical news that appears on newspaper front pages is intended to reach a wide audience, but how this type of medical news is prepared and distributed has not been systematically researched. We thus quantified the level of visibility achieved by front-page medical stories in the United States and analyzed their news sources. Methodology: Using the online resource Newseum, we investigated front-page newspaper coverage of four prominent medical stories, and a high-profile non-medical news story as a control, reported in the US in 2007. Two characteristics were quantified by two raters: which newspaper titles carried each target front-page story (interrater agreement, >96%; kappa, >0.92) and the news sources of each target story (interrater agreement, >94%; kappa, >0.91). National rankings of the top 200 US newspapers by audited circulation were used to quantify the extent of coverage as the proportion of the total circulation of ranked newspapers in Newseum. Findings: In total, 1630 front pages were searched. Each medical story appeared on the front pages of 85 to 117 (67.5%-78.7%) ranked newspaper titles that had a cumulative daily circulation of 23.1 to 33.4 million, or 61.8% to 88.4% of all newspapers. In contrast, the non-medical story achieved front-page coverage in 152 (99.3%) newspaper titles with a total circulation of 41.0 million, or 99.8% of all newspapers. Front-page medical stories varied in their sources, but the Washington Post, Los Angeles Times, New York Times and the Associated Press together supplied 61.7% of the total coverage of target front-page medical stories. Conclusion: Front-page coverage of medical news from different sources is more accurately revealed by analysis of circulation counts rather than of newspaper titles. Journals wishing to widen knowledge of research news and organizations with important health announcements should target at least the four dominant media organizations identified in this study

    Strategies and challenges to facilitate situated learning in virtual worlds post-Second Life

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    Virtual worlds can establish a stimulating environment to support a situated learning approach in which students simulate a task within a safe environment. While in previous years Second Life played a major role in providing such a virtual environment, there are now more and more alternative—often OpenSim-based—solutions deployed within the educational community. By drawing parallels to social networks, we discuss two aspects: how to link individually hosted virtual worlds together in order to implement context for immersion and how to identify and avoid “fake” avatars so people behind these avatars can be held accountable for their actions

    Letter October 11, 1957

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    Letter from Florence DeShazer to family in Toddville, Iowa, with descriptions of Florence\u27s activities with church groups, family medical news, Christmas plans and an update on the Jacob and the DeShazer kids. Also included are reactions to Toddville news

    IC 077 Guide to Texas Medical Center Historical Resources Project Records

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    The Medical World News Photograph Collection (IC 077) predominantly consists of photographic prints, negatives, and transparencies that document the production of a premiere medical news magazine. The collection contains most of the images published in the magazine from 1967-1985. See more at https://archives.library.tmc.edu/ic-077

    Cook, John Loy, 1838-1878 (SC 3709)

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    Finding aid only for Manuscripts Small Collection 3709. Biographical data on John L. Cook, a physician of Henderson, Kentucky. Includes an 1878 article on yellow fever by Cook, published in the Louisville Medical News just prior to his death from the disease; a memorial address read before the McDowell Medical Society at Hopkinsville, Kentucky after his death; and information on his wife Annie

    Domain Control for Neural Machine Translation

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    Machine translation systems are very sensitive to the domains they were trained on. Several domain adaptation techniques have been deeply studied. We propose a new technique for neural machine translation (NMT) that we call domain control which is performed at runtime using a unique neural network covering multiple domains. The presented approach shows quality improvements when compared to dedicated domains translating on any of the covered domains and even on out-of-domain data. In addition, model parameters do not need to be re-estimated for each domain, making this effective to real use cases. Evaluation is carried out on English-to-French translation for two different testing scenarios. We first consider the case where an end-user performs translations on a known domain. Secondly, we consider the scenario where the domain is not known and predicted at the sentence level before translating. Results show consistent accuracy improvements for both conditions.Comment: Published in RANLP 201
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