25 research outputs found

    BeefSpecs a tool for the future: On-farm drafting and optimising feedlot profitability

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    The BeefSpecs fat calculator was conceived as a means of combining data from growth path studies with knowledge contained in animal growth and body composition models to make predictions of cattle body composition using on-farm measurements. This would assist producers to make critical management decisions that affect their ability to meet market specifications. The first phase of BeefSpecs was based on a multiple regression interpolation of the simulation results from an animal growth and body composition model called the Davis Growth Model (DGM). The agreement between observed and predicted P8 fat depths using this approach was relatively high. However, there are certain circumstances where the multiple regression method produces poor agreement with observed P8 fat depths. The second phase of BeefSpecs has involved the departure from the multiple linear regression approach and direct use of an alternative animal growth model (Williams and Jenkins model, WJ). Agreement between observed and predicted P8 fat depths using this model has generally been similar to that experienced in phase one. However, in circumstances where phase one had problems predicting P8 fat depth the WJ model has provided much more robust predictions. Work is progressing to extend BeefSpecs‘ capabilities by predicting retail meat yield from on-farm measurements. These refinements of the BeefSpecs calculator have allowed the development of other tools that 'hang off' BeefSpecs to progress to the preliminary testing stage. A tool for on-farm drafting has been developed that allows producers to explore the effects that management changes have on the ability of groups of animals to meet market specifications. An additional tool has been developed that is targeted at refining how pen allocations occur in feedlots to help reduce the days on feed needed by certain animals and increase overall production-system profit

    Candida auris in Healthcare Facilities, New York, USA, 2013–2017

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    Candida auris is an emerging yeast that causes healthcare-associated infections. It can be misidentified by laboratories and often is resistant to antifungal medications. We describe an outbreak of C. auris infections in healthcare facilities in New York City, New York, USA. The investigation included laboratory surveillance, record reviews, site visits, contact tracing with cultures, and environmental sampling. We identified 51 clinical case-patients and 61 screening case-patients. Epidemiologic links indicated a large, interconnected web of affected healthcare facilities throughout New York City. Of the 51 clinical case-patients, 23 (45%) died within 90 days and isolates were resistant to fluconazole for 50 (98%). Of screening cultures performed for 572 persons (1,136 total cultures), results were C. auris positive for 61 (11%) persons. Environmental cultures were positive for samples from 15 of 20 facilities. Colonization was frequently identified during contact investigations; environmental contamination was also common

    The Witan, 1977-1978 Academic Year V. 5 No. 4, November 1977

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    A Look at the Indians, Selection of Legal Counsel, Punto De Vista, Contra Punto, Reversed on Appeal, Shysters vs 55'ers, Sue's City, Media Momus, Support Your Local Police, Expansion of Magistrates Roles, Rush Results, Placement News, Where the Law Ends

    The Witan, 1977-1978 Academic Year V. 5 No. 4, November 1977

    No full text
    A Look at the Indians, Selection of Legal Counsel, Punto De Vista, Contra Punto, Reversed on Appeal, Shysters vs 55'ers, Sue's City, Media Momus, Support Your Local Police, Expansion of Magistrates Roles, Rush Results, Placement News, Where the Law Ends
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