951 resultados para Adverse event


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Method of detecting an event in electrical apparatus (146, 148, 150). Electromagnetic radiation from the apparatus, characteristic of the event, is detected. An electrical signal is generated, this representing the electromagnetic radiation. The signal is subjected to non-stationary wave signal analysis to generate an output indicative of the detecting.

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Method of detecting an event in electrical apparatus (146, 148, 150). Electromagnetic radiation from the apparatus, characteristic of the event, is detected. An electrical signal is generated, this representing the electromagnetic radiation. The signal is subjected to non-stationary wave signal analysis to generate an output indicative of the detecting.

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The present study assessed the perceptions of the Lexmark Indy 300/Champ Car Event’s key stakeholders namely, spectators, volunteers and paid workers, as part of an evaluation tool for its managers. We developed a model, which included visible, interaction and management elements that we proposed influenced the perceptions and experiences of stakeholders relating to the event effectiveness, strengths, weaknesses and improvements. Specifically, we used a modified version of Preble’s (2005) six-step multi-stakeholder assessment approach to examining the perceived overall effectiveness of the event. Fifty stakeholder interviews were conducted on-site and their opinions were content analysed. The key findings of the study were that the majority of the stakeholders perceived the event to be effective. Spectators perceived the strengths to be interaction components, and weaknesses and improvements to be visible elements such as track layout. Volunteers perceived strengths to be management related, but also noted that these were weaknesses and needed improvement. Lastly, Paid workers perceived interaction elements to be both strengths and weaknesses, and suggested that management elements could be improved. Important implications for similar motoring events were suggested.

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This study investigates the influence of cash rate changes on the equity A-REIT stock prices in the past decade. The findings indicate that cash rate changes can influence the fluctuation of the equity A-REIT stock prices. Moreover, cash rate changes affect small A-REITs to a greater extent than large A-REITs.

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Originally developed as a statistical tool for empirical research in accounting and finance, event studies have since migrated to other disciplines as well, including economics, history, law, management, marketing, and political science. Despite the elegant simplicity of a standard event study, variations in methodology and their relative merits continue to attract attention in the literature. This paper reviews some of the fundamental topics in short-term event study methodology, with an attempt to add new perspectives to some pressing topics.

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This study examines the morphological responses of Late Permian brachiopods to environmental changes. Quantitative analysis of body size data from Permian–Triassic brachiopods has demonstrated significant, directional changes in body size before, during and after the Late Permian mass extinction event. Brachiopod size significantly reduced before and during the extinction interval, increased for a short time in more extinction-resistant taxa in the latter stages of extinction and then dramatically reduced again across the Permian ⁄ Triassic boundary. Relative abundances of trace elements and acritarchs demonstrate that the body size reductions which happened before, during and after extinction were driven by primary productivity collapse, whereas declining oxygen levels had less effect. An episode of size increase in two of the more extinction-resistant brachiopod species is unrelated to environmental change and possibly was the result of reduced interspecific competition for resources following the extinction of competitors. Based on the results of this study, predictions can be made for the possible responses of modern benthos to present-day environmental changes.

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Aims. This study sought to measure the rates and trajectory of depression over six months following admission for an acute cardiac event and describe the relationship between depression and life satisfaction.
Background. Co-morbid depression has an impact on cardiac mortality and is associated with the significant impairment of quality of life and well-being, impairments in psychosocial function, decreased medication adherence and increased morbidity.
Design. This was a descriptive, correlational study.
Method. The study was undertaken at a large public hospital in Melbourne. Participants were asked to complete a survey containing the cardiac depression scale (CDS) and the Personal Well-being Index.
Results. This study mapped the course of depression over six months of a cohort of patients admitted for an acute cardiac event. Significant levels of depressive symptoms were found, at a level consistent with the literature. A significant correlation between depressive symptoms as measured by the CDS and the Personal Well-being Index was found.
Conclusions. Depression remains a significant problem following admission for an acute coronary event. The Personal Wellbeing Index may be a simple, effective and non-confrontational initial screening tool for those at risk of depressive symptoms in this population. Relevance to clinical practice. Despite the known impact of depression on coronary heart disease (CHD), there is limited research describing its trajectory. This study makes a compelling case for the systematic screening for depression in patients with CHD and the importance of the nursing role in identifying at risk individuals.

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When children allege repeated abuse, they are required to provide details about specific instances. This often results in children confusing details from different instances, therefore the aim of this study was to examine whether mental context reinstatement (MCR) could be used to improve children’s accuracy. Children (N ¼ 120, 6–7-yearolds) participated in four activities over a 2-week period and were interviewed about the last (fourth) time with a standard recall or MCR interview. They were then asked questions about specific details, and some questions contained false information. When interviewed again 1 day later, children in the MCR condition resisted false suggestions that were consistent with the event more than false suggestions that were inconsistent; in contrast, children in the standard interview condition were equally suggestible for both false detail types and showed a yes bias. The results suggest a practical way of eliciting more accurate information from child witnesses.

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This chapter discusses and illustrates some potential applications of discrete-event simulation (DES) techniques in structural reliability and availability analysis, emphasizing the convenience of using probabilistic approaches in modern building and civil engineering practices. After reviewing existing literature on the topic, some advantages of probabilistic techniques over analytical ones are highlighted. Then, we introduce a general framework for performing structural reliability and availability analysis through DES. Our methodology proposes the use of statistical distributions and techniques – such as survival analysis – to model component-level reliability. Then, using failure- and repair-time distributions and information about the structural logical topology (which allows determination of the structural state from their components’ state), structural reliability, and availability information can be inferred. Two numerical examples illustrate some potential applications of the proposed methodology to achieving more reliable and structural designs. Finally, an alternative approach to model uncertainty at component level is also introduced as ongoing work. This new approach is based on the use of fuzzy rule-based systems and it allows the introduction of experts’ opinions and evaluations in our methodology.

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In a forensic investigation, computer profiling is used to capture evidence and to examine events surrounding a crime. A rapid increase in the last few years in the volume of data needing examination has led to an urgent need for automation of profiling. In this paper, we present an efficient, automated event profiling approach to a forensic investigation for a computer system and its activity over a fixed time period. While research in this area has adopted a number of methods, we extend and adapt work of Marrington et al. based on a simple relational model. Our work differs from theirs in a number of ways: our object set (files, applications etc.) can be enlarged or diminished repeatedly during the analysis; the transitive relation between objects is used sparingly in our work as it tends to increase the set of objects requiring investigative attention; our objective is to reduce the volume of data to be analyzed rather than extending it. We present a substantial case study to illuminate the theory presented here. The case study also illustrates how a simple visual representation of the analysis could be used to assist a forensic team.