Critical Assessment of the Foundations of Power Transmission and Distribution Reliability Metrics and Standards

The U.S. federal government regulates the reliability of bulk power systems, while the reliability of power distribution systems is regulated at a state level. In this article, we review the history of regulating electric service reliability and study the existing reliability metrics, indices, and standards for power transmission and distribution networks. We assess the foundations of the reliability standards and metrics, discuss how they are applied to outages caused by large exogenous disturbances such as natural disasters, and investigate whether the standards adequately internalize the impacts of these events. Our reflections shed light on how existing standards conceptualize reliability, question the basis for treating large‐scale hazard‐induced outages differently from normal daily outages, and discuss whether this conceptualization maps well onto customer expectations. We show that the risk indices for transmission systems used in regulating power system reliability do not adequately capture the risks that transmission systems are prone to, particularly when it comes to low‐probability high‐impact events. We also point out several shortcomings associated with the way in which regulators require utilities to calculate and report distribution system reliability indices. We offer several recommendations for improving the conceptualization of reliability metrics and standards. We conclude that while the approaches taken in reliability standards have made considerable advances in enhancing the reliability of power systems and may be logical from a utility perspective during normal operation, existing standards do not provide a sufficient incentive structure for the utilities to adequately ensure high levels of reliability for end‐users, particularly during large‐scale events.     

Explaining Family Change and Variation: Challenges for Family Demographers

Twenty years ago, the National Institute of Child Health and Human Development (NICHD) issued a request for proposals that resulted in the National Survey of Families and Households (NSFH), a unique survey valuable to a wide range of family scholars. This paper describes the efforts of an interdisciplinary group of family demographers to build on the progress enabled by the NSFH and many other theoretical and methodological innovations. Our work, also supported by NICHD, will develop plans for research and data collection to address the central question of what causes family change and variation. We outline the group's initial assessments of orienting frameworks, key aspects of family life to study, and theoretical and methodological challenges for research on family change. Finally, we invite family scholars to follow our progress and to help develop this shared public good.     

Modeling Logistic Performance in Quantitative Microbial Risk Assessment

In quantitative microbial risk assessment (QMRA), food safety in the food chain is modeled and simulated. In general, prevalences, concentrations, and numbers of microorganisms in media are investigated in the different steps from farm to fork. The underlying rates and conditions (such as storage times, temperatures, gas conditions, and their distributions) are determined. However, the logistic chain with its queues (storages, shelves) and mechanisms for ordering products is usually not taken into account. As a consequence, storage times—mutually dependent in successive steps in the chain—cannot be described adequately. This may have a great impact on the tails of risk distributions. Because food safety risks are generally very small, it is crucial to model the tails of (underlying) distributions as accurately as possible. Logistic performance can be modeled by describing the underlying planning and scheduling mechanisms in discrete-event modeling. This is common practice in operations research, specifically in supply chain management. In this article, we present the application of discrete-event modeling in the context of a QMRA for  Listeria monocytogenes  in fresh-cut iceberg lettuce. We show the potential value of discrete-event modeling in QMRA by calculating logistic interventions (modifications in the logistic chain) and determining their significance with respect to food safety.     

A program of research with Hispanic and African American families: three decades of intervention development and testing influenced by the changing cultural context of Miami

In this article we summarize work with poor, inner-city Hispanic and African American families conducted at the University of Miami Center for Family Studies. We elucidate ways in which this research program has paralleled the treatment development paradigm and has been responsive to changes in local demographics. Specific cultural issues pertaining to Hispanics and African Americans are discussed in light of treatment development and implementation. Future directions and challenges for working with poor, inner-city minority families are addressed.     

Trauma symptoms, sexual behaviors, and substance abuse: correlates of childhood sexual abuse and HIV risks among men who have sex with men

Childhood sexual abuse is associated with high-risk sexual behavior in men who have sex with men. This study examined psychological and behavioral correlates of HIV risk behavior associated with childhood sexual abuse in a sample of men who have sex with men. Men attending a large gay pride event (N = 647) completed anonymous surveys that assessed demographic characteristics, childhood sexual abuse history, symptoms of dissociation and trauma-related anxiety, borderline personality characteristics, substance use, and sexual risk behavior. Results indicated that men who have a history of childhood sexual abuse were more likely to: engage in high-risk sexual behavior (i.e., unprotected receptive anal intercourse), trade sex for money or drugs, report being HIV positive, and experience non-sexual relationship violence. Results of this study extend previous research to show that men who have sex with men and who have a history of child sexual abuse are more likely to be at high risk for HIV infection.     

Development of Sexual Expectancies among Adolescents: Contributions by Parents,Peers and the Media

To expand the scant research on sexual expectancies development among non–sexually active adolescents, we examined the relationship between adolescents' exposure to four socializing agents—mother/female guardian, father/male guardian, peers, and television programs with high sexual content—and their endorsement of four sexual expectancies: social benefit, pleasure, social risk, and health risk. Data are from Waves 2 and 3 of a three-wave annual longitudinal study conducted among California adolescents, the majority of whom were not sexually active (N = 914, 84%). Structural equation models were conducted to examine cross-sectional and longitudinal associations between the socializing agents and the sexual expectancies. Cross-sectional results indicate associations between peer sexual communication and social benefit, pleasure, and social risk expectancies. A positive association was found between exposure to music videos and social benefit expectancies, and a negative association was found between exposure to music videos and health risk expectancies. Longitudinal results suggest that communication with peers positively predicted pleasure expectancies and negatively predicted social risk expectancies. No other socializing agents were associated with any sexual expectancies. An invariance test found that significant correlations were similar across the different age groups. Results suggest that efforts to support positive sexual decision making among non–sexually active adolescents should target peer sexual communication.     

Race and the NFL Draft: Views from the Auction Block

Previous research suggests that minorities are more likely to perceive racially-based discrimination in a variety of settings than are whites, in large part because of the ways their personal experiences with racism shape the lens they use to view the world. We examine a labor market that is typically considered an exception to patterns of racism in employment, the industry of professional football. We interview athletes who attempted to gain employment in the National Football League, a labor market where access to valued positions is heavily restricted by industry practices. Findings from field research and semi-structured interviews indicate that minority workers experience symbolic discrimination during the hiring process. Differential treatment of players reflects stereotypes about minority families and masculinity. Although minority and white players describe much of the actual content of their labor market experiences in similar fashion, their perceptions of these experiences differ sharply, with minority athletes identifying far more negative repercussions.