Avian influenza has three of the four properties necessary to cause a pandemic. However, are we as individuals and communities prepared for a pandemic flu in the United States? To help answer this question, 12 focus groups (N = 60) were conducted in Tulsa, Oklahoma, to determine the level of awareness of avian and pandemic flu for the county health department to develop effective communication messages. The overall findings indicate that the general Tulsa public lacks information about avian influenza or pandemics, does not believe a pandemic will occur, and believes if one does occur the government will take care of it. Finally, the groups agreed that education would be the key to preventing widespread panic if a pandemic occurred. Five themes emerged: confusion about terminology, seriousness of avian influenza, disaster fatigue, appropriate precautions, and credibility of health information. Each should be considered in developing effective risk communication messages.
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In this study, workers' ratings of need for training may reflect an overall interest in training rather than need for training in a particular area. Caution should be exercised in interpretation when generic goals and self-assessment are used to measure need for training. Future assessments of training needs may be more effective if they use objective measures of specific local plans.
Modern power systems are cyber-physical systems with increasing relevance and influence of information and communication technology. This influence comprises all processes, functional, and non-functional aspects like functional correctness, safety, security, and reliability. An example of a process is the data acquisition process. Questions focused in this paper are, first, how one can trust in process data in a data acquisition process of a highly-complex cyber-physical power system. Second, how can the trust in process data be integrated into a state estimation to achieve estimated results in a way that it can reflect trustworthiness of that input?We present the concept of an anomaly-sensitive state estimation that tackles these questions. The concept is based on a multi-faceted trust model for power system network assessment. Furthermore, we provide a proof of concept by enriching measurements in the context of the IEEE 39-bus system with reasonable trust values. The proof of concept shows the benefits but also the limitations of the approach.
Results indicate that residents' knowledge, skills, attitudes, and values regarding teaching varies across institutions and training programs. The psychiatry residents in this study do not clearly understand their role as educators with patients and medical students; they have a less clear understanding of teaching techniques, and report spending less time educating patients than do family medicine residents. The differences might be due to different patient populations and treatment settings. The study suggests that psychiatry residents may have difficulty adapting the One-Minute Preceptor technique in psychiatric settings. Results serve as a benchmarking study in a performance-improvement program to enhance psychiatry residents' teaching skills.
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