Perceived stress in HIV-infected individuals: Phsyiological and psychological correlates

The purpose of this study was to determine the correlation of perceived stress with selected physiological and psychological factors in an HIV-infected, predominantly African American population and to assess the multivariable effects on perceived stress. The variables that correlated significantly with perceived stress were entered into a backward stepwise regression model. Pearson’s r analysis showed significant correlations between perceived stress and state and trait anxiety, depression, HIV-related symptoms, sleep quality, daytime sleepiness and fatigue. State and trait anxiety, depression and fatigue retained significance (p\u3c0.1) in the final regression model. These factors explained approximately 80% of the variance in perceived stress. The significant interactions of multiple physiological and psychological correlates suggest that perceived stress is a complex outcome with a multifactorial etiology. Further, the model suggests that psychological factors may contribute to perceived stress in this population more than physiological factors such as HIV-related symptomatology or stage of disease

Estimating the Effects of Movie Piracy on Box-office Revenue

Movie piracy, Nobody knows principle, Forensic revenue loss, estimation, L820, Z110, C800,

Mining inter-organizational business process models from EDI messages : a case study from the automotive sector

Traditional standards for Electronic Data Interchange (EDI), such as EDIFACT and ANSI X12, have been employed in Business-to-Business (B2B) e-commerce for decades. Due to their wide industry coverage and long-standing establishment, they will presumably continue to play an important role for some time. EDI systems are typically not "process-aware", i.e., messages are standardized but processes simply "emerge". However, to improve performance and to enhance the control, it is important to understand and analyze the "real" processes supported by these systems. In the case study presented in this paper we uncover the inter-organizational business processes of an automotive supplier company by analyzing the EDIFACT messages that it receives from its business partners. We start by transforming a set of observed messages to an event log, which requires that the individual messages are correlated to process instances. Thereby, we make use of the specific structure of EDIFACT messages. Then we apply process mining techniques to uncover the inter-organizational business processes. Our results show that inter-organizational business process models can be derived by analyzing EDI messages that are exchanged in a network of organizations