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      • Anti-Social Media: Communicating Risk through Open Data, Crime Maps and Locative Media

        Andrew Garbett,Jamie K. Wardman,Ben Kirman,Conor Linehan,Shaun Lawson 한국HCI학회 2014 한국HCI학회 학술대회 Vol.2014 No.12

        We present a critical evaluation of a locative media application, Fearsquare, which provocatively invites users to engage with personally contextualized risk information drawn from the UK open data crime maps cross-referenced with geo-located user check-ins on Foursquare. Our analysis of user data and a corpus of #Fearsquare discourse on Twitter revealed three cogent appraisals (‘Affect’, ‘Technical’ and ‘Critical’) reflecting the salient associations and aesthetics that were made between different components of the application and interwoven issues of technology, risk, danger, emotion by users. We discuss how the varying strength and cogency of these public responses to Fearsquare call for a broader imagining and analysis of how risk and danger are interpreted; and conclude how our findings reveal important challenges for researchers and designers wishing to engage in projects that involve the computer-mediated communication of risk.

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        Detection of Inhibitors of Phenotypically Drug-tolerant Mycobacterium tuberculosis Using an In Vitro Bactericidal Screen

        Ian M. Bassett,Shichun Lun,William R. Bishai,Haidan Guo,Joanna R. Kirman,Mudassar Altaf,Ronan F. O’Toole 한국미생물학회 2013 The journal of microbiology Vol.51 No.5

        Many whole cell screens of chemical libraries currently in use are based on inhibition of bacterial growth. The goal of this study was to develop a chemical library screening model that enabled detection of compounds that are active against drug-tolerant non-growing cultures of Mycobacterium tuberculosis. An in vitro model of low metabolically active mycobacteria was established with 8 and 30 day old cultures of M. smegmatis and M. tuberculosis, respectively. Reduction of resazurin was used as a measure of viability and the assay was applied in screens of chemical libraries for bactericidal compounds. The model provided cells that were phenotypically-resilient to killing by first and second-line clinical drugs including rifampicin. Screening against chemical libraries identified proteasome inhibitors, NSC310551 and NSC321206, and a structurally-related series of thiosemicarbazones,as having potent killing activity towards aged cultures. The inhibitors were confirmed as active against virulent M. tuberculosis strains including multi- and extensively-drug resistant clinical isolates. Our library screen enabled detection of compounds with a potent level of bactericidal activity towards phenotypically drug-tolerant cultures of M. tuberculosis.

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