388 research outputs found

    Alien Registration- Legere, Marie (Limerick, York County)

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    https://digitalmaine.com/alien_docs/3290/thumbnail.jp

    Alien Registration- Legere, Edrick (Millinocket, Penobscot County)

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    https://digitalmaine.com/alien_docs/8047/thumbnail.jp

    Alien Registration- Legere, Prosper (Sanford, York County)

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    https://digitalmaine.com/alien_docs/2952/thumbnail.jp

    Alien Registration- Legere, Alice (Millinocket, Penobscot County)

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    https://digitalmaine.com/alien_docs/8046/thumbnail.jp

    Alien Registration- Legere, Colistie (Sanford, York County)

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    https://digitalmaine.com/alien_docs/2941/thumbnail.jp

    Alien Registration- Legere, Augustine (Standish, Cumberland County)

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    https://digitalmaine.com/alien_docs/20249/thumbnail.jp

    Alien Registration- Legere, Adolph P. (South Portland, Cumberland County)

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    https://digitalmaine.com/alien_docs/20076/thumbnail.jp

    Alien Registration- Daigle, Nathalie (Rumford, Oxford County)

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    https://digitalmaine.com/alien_docs/12767/thumbnail.jp

    Identifying Nurse’s Perspectives and Practices about Clinical Monitor Alarm Burden and Alarm Fatigue.

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    PURPOSE: To obtain insight into the nursing culture of the University of Kentucky Medical Center (UKMC) regarding alarm fatigue, measure nuisance alarm events, and identify the practices nurses at UKMC engage in to manage alarm pollution and mitigate alarm burden. Moreover, this practice improvement project identified how innovations like the introduction of a monitor watcher has impacted the rates of nuisance alarms and influenced nursing culture. METHODS: A online survey based on the 2011 Healthcare Technology Foundation Alarms Survey (HTF) was sent to nurses in two intensive care units at UK Healthcare (UKHC). The results of the 2017 UKHC Alarm Survey were compared to published studies that used a similar version of the 2011 HTF Alarms Survey. Also, alarm events were recorded and categorized based on frequency and type to assess the number of nuisance alarms present in each unit. RESULTS: Survey results found in published studies were like those found at UK Healthcare with an exception noted that UKHC nurses reported lower agreement scores when asked about the helpfulness of a monitor watcher. Repetitive and clinically irrelevant alarms (ECG nuisance alarms) made up about a third of all alarm events recorded at UKHC and these numbers were unaffected by the attendance of a monitor watcher. Also gaps in nursing education related to alarm management issues were identified. CONCLUSION: Interventions such as the routine deactivation of repetitive and clinically irrelevant alarms may result in a lessening of the factors that contribute to the development of alarm fatigue. Hospital polices must be updated to encourage customization of alarms with special attention being given to efforts that reduce nuisance alarms. Education gaps can be addressed by a standardized approach to the education of all nurses who work with clinical monitors

    Meta-Analysis of Public Acceptance of Unmanned Aircraft Systems in the United States

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    Automated and unmanned systems are rapidly revolutionizing every aspect of military, commercial, and public use operations in the United States. While this technology serves effectively in dull, dirty, and dangerous tasks, the rapid introduction of unmanned technologies into society has generated intense debate about their ethical, moral, and legal use. Specifically, the rise in the development and application of unmanned aircraft systems (UAS) has created significant public discord. As public acceptance of UAS plays a major role in the regulatory decisions that allow for expanded use in commercial and public use applications, it is critically important to understand the complexities involved in the public acceptance of UAS. A meta-analysis of archival data was conducted to identify a possible relationship between UAS intended missions and their acceptability within the public. Compiled survey research indicated that search and rescue (SAR) applications are the most publicly accepted intended missions. Additionally, a chi-square test of independence found evidence of a relationship between intended mission and public acceptance, with commercial and non-law enforcement public use having the highest levels of public acceptance. Recommendations include increasing the public’s knowledge and awareness of UAS through an iPhone Operating System (IOS) device application, and removing “drone” from future survey terminology
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