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Patients undergoing total knee arthroplasty (TKA) are likely to receive a blood transfusion, which may increase the risk of complications and prolong hospital stay. Considerable variation exists in transfusion practice among orthopedic surgeons following elective TKA. Previous studies have investigated the relationship between preoperative risk factors and(More)
Exposure to air pollution is an important risk factor for cardiovascular morbidity and mortality, and is associated with increased blood pressure, reduced heart rate variability, endothelial dysfunction and myocardial ischaemia. Our objectives were to assess the cardiovascular effects of reducing air pollution exposure by wearing a facemask. In an(More)
Angel financing is one of the most common, but least studied methods, to finance new ventures. In this paper, I propose a model to explain angel behavior. I use a unique dataset of angel-backed firms to test the predictions of the model and examine the characteristics of angel financing. Although they are exposed to greater uncertainty by investing earlier(More)
The ATAROS project aims to identify acoustic signals of stance-taking in order to inform the development of automatic stance recognition in natural speech. Due to the typically low frequency of stance-taking in existing corpora that have been used to investigate related phenomena such as subjectivity, we are creating an audio corpus of unscripted(More)
From activities as simple as scheduling a meeting to those as complex as balancing a national budget, people take stances in negotiations and decision making. While the related areas of subjectivity and sentiment analysis have received significant attention, work has focused almost exclusively on text, and much stance-taking activity is carried out(More)
The ATAROS project aims to identify acoustic signals of stance-taking in order to inform the development of automatic stance recognition in natural speech. Due to the typically low frequency of stance-taking in existing corpora that have been used to investigate related phenomena such as subjectivity, we are creating an audio corpus of unscripted(More)
The dissertation consists of three chapters on econometric methods related to parameter instability, forecasting and long memory. The …rst chapter introduces a new frequentistbased approach to forecast time series in the presence of in and out-of-sample breaks in the parameters. We model the parameters as random level shift (RLS) processes and introduce two(More)
A middle-aged man had deteriorated rapidly in hospital after being misdiagnosed with acute alcoholic hepatitis. Acute Legionnaires disease (Legionellosis) was subsequently diagnosed on rapid antigen urinary testing and further confirmed serologically. This led to appropriate antibiotic treatment and complete clinical resolution. Physicians caring for(More)
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