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Edward J. Alessi 《Journal of gay & lesbian social services》2013,25(4):273-287
ABSTRACT Although some HIV prevention programs have been successful in helping gay and bisexual men change their sexual behaviors, rates of HIV infection continue to increase. In an attempt to address this problem, social workers need to move beyond traditional HIV prevention approaches to a psychosocial model of HIV prevention. Based on the work of previous researchers, this approach assumes that a combination of individual, psychological, and social factors contribute to risky sex in gay and bisexual men. Because social workers are trained to view problems from a psychosocial framework, they are already in a position to develop programs incorporating the psychosocial model. This article examines the psychosocial model of HIV prevention and the various psychosocial factors that may contribute to high-risk sexual behavior and concludes with examples of prevention research that have already incorporated the model. 相似文献
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Edward P. Markowski 《统计学通讯:理论与方法》2013,42(15):1915-1918
An expression is presented for the mean of a linear signed rank statistic for the one sample location model. Several examples are given to illustrate its application. 相似文献
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Thompson EH 《Omega》1985,16(3):233-242
This paper explores the errors involved in the approximation of both the maximum and sum of two independent Beta random variables, each by another Beta random variable. The principal area of application is the time analysis of PERT networks, and the results are interpreted and discussed in terms of this application. The error was found to be acceptable for the greater part of the range of the parameters involved. The results will help practitioners estimate the mean and standard deviation of the completion time of PERT networks. 相似文献
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Eric Specking Bobby Cottam Gregory Parnell Edward Pohl Matthew Cilli Randy Buchanan Zephan Wade Colin Small 《Risk analysis》2019,39(9):1899-1912
Recently, efforts to model and assess a system's resilience to disruptions due to environmental and adversarial threats have increased substantially. Researchers have investigated resilience in many disciplines, including sociology, psychology, computer networks, and engineering systems, to name a few. When assessing engineering system resilience, the resilience assessment typically considers a single performance measure, a disruption, a loss of performance, the time required to recover, or a combination of these elements. We define and use a resilient engineered system definition that separates system resilience into platform and mission resilience. Most complex systems have multiple performance measures; this research proposes using multiple objective decision analysis to assess system resilience for systems with multiple performance measures using two distinct methods. The first method quantifies platform resilience and includes resilience and other “ilities” directly in the value hierarchy, while the second method quantifies mission resilience and uses the “ilities” in the calculation of the expected mission performance for every performance measure in the value hierarchy. We illustrate the mission resilience method using a transportation systems‐of‐systems network with varying levels of resilience due to the level of connectivity and autonomy of the vehicles and platform resilience by using a notional military example. Our analysis found that it is necessary to quantify performance in context with specific mission(s) and scenario(s) under specific threat(s) and then use modeling and simulation to help determine the resilience of a system for a given set of conditions. The example demonstrates how incorporating system mission resilience can improve performance for some performance measures while negatively affecting others. 相似文献