Older women and sexuality: Narratives of gender,age, and living environment

Little research has explored the intersection of aging and sexuality. This qualitative study is informed by a life course approach and narrative gerontology methods. Semistructured interviews were conducted with 13 women age 55 and older to explore the effects of gender, aging, and living environment on past and current sexual experiences. Subthemes from each major theme are discussed, including: (a) messages about and perceived effects of gender, (b) perceived effects of aging, and (c) perceived effects of living environment. Findings support the use of dynamical systems theory to study women’s sexual experiences.     

Two approaches to solving the multi-depot vehicle routing problem with time windows in a time-based logistics environment

This paper presents a two-phase heuristic method that can be used to efficiently solve the intractable multi-depot vehicle routing problem with time windows. The waiting time that was ignored by previous researchers is considered in this study. The necessity of this consideration is verified through an initial experiment. The results indicate that the waiting time has a significant impact on the total distribution time and the number of vehicles used when solving test problems with narrow time windows. In addition, to fairly evaluate the performance of the proposed heuristic method, a meta-heuristic method, which extends the unified tabu search of Cordeau et al., is proposed. The results of a second experiment reveal that the proposed heuristic method can obtain a better solution in the case of narrow time windows and a low capacity ratio, while the proposed meta-heuristic method outperforms the proposed heuristic method, provided that wide time windows and a high capacity ratio are assumed. Finally, a well-known logistics company in Taiwan is used to demonstrate the method, and a comparison is made, which shows that the proposed heuristic method is superior to the current method adopted by the case company.     

Inference on treatment effects for targeted clinical trials under enrichment design

After completion of a human genome project, the disease targets at molecular level can be identified. As a result, treatment modality for molecular targets can be developed. In practice, targeted clinical trials are usually conducted for evaluation of the possibility and feasibility of the individualized treatment of patients. However, the accuracy of diagnostic devices for identification of such molecular targets is usually not perfect. Therefore, some of the patients enrolled in targeted clinical trials with a positive result by the diagnostic device might not have the specific molecular targets and hence the treatment effects of the targeted drugs estimated from targeted clinical trials could be biased for the patient population truly with the molecular targets. Under an enrichment design for targeted clinical trials, we propose to use the EM algorithm and bootstrap method for obtaining the inference of the treatment effects of the targeted drugs in the patient population truly with molecular targets. A simulation study was conducted to empirically investigate the bias and variability of the proposed estimator and the size and power of the proposed testing method. Simulation results demonstrate that the proposed estimator is unbiased with adequate precision and the confidence interval can provide satisfactory coverage probability. In addition, the proposed testing procedure can adequately control the size with sufficient power. A practical example illustrates the utility of the proposed method. Copyright © 2009 John Wiley & Sons, Ltd.     

“I'm in this world for a reason”: Resilience and recovery among American Indian and Alaska Native two-spirit women

ABSTRACT

American Indian and Alaska Native sexual minority (two-spirit) women are vulnerable to substance misuse and mental health challenges due to multiple minority oppressed status and exposure to stress and trauma. Yet, these women find pathways toward healing and wellness. We conducted a qualitative data analysis of interviews derived from a national health study and gained an understanding of 11 two-spirit women's resilience and recovery patterns. Emergent from the data, a braided resiliency framework was developed which elucidates multilayered abilities, processes, and resources involved in their resiliency. We recommend that resilience-promoting strategies be incorporated into substance misuse and mental health interventions.     

Distribution of Aggregate Utility Using Stochastic Elements of Additive Multiattribute Utility Models

Conventionally, elements of a multiattribute utility model characterizing a decision maker's preferences, such as attribute weights and attribute utilities, are treated as deterministic, which may be unrealistic because assessment of such elements can be imprecise and erroneous, or differ among a group of individuals. Moreover, attempting to make precise assessments can be time consuming and cognitively demanding. We propose to treat such elements as stochastic variables to account for inconsistency and imprecision in such assessments. Under these assumptions, we develop procedures for computing the probability distribution of aggregate utility for an additive multiattribute utility function (MAUF), based on the Edgeworth expansion. When the distributions of aggregate utility for all alternatives in a decision problem are known, stochastic dominance can then be invoked to filter inferior alternatives. We show that, under certain mild conditions, the aggregate utility distribution approaches normality as the number of attributes increases. Thus, only a few terms from the Edgeworth expansion with a standard normal density as the base function will be sufficient for approximating an aggregate utility distribution in practice. Moreover, the more symmetric the attribute utility distributions, the fewer the attributes to achieve normality. The Edgeworth expansion thus can provide a basis for a computationally viable approach for representing an aggregate utility distribution with imprecisely specified attribute weights and utilities assessments (or differing weights and utilities across individuals). Practical guidelines for using the Edgeworth approximation are given. The proposed methodology is illustrated using a vendor selection problem.     

BUSINESS CYCLE FLUCTUATIONS WITH THE DIVISION OF PERMANENT AND TEMPORARY EMPLOYMENT

In the mainstream real business cycle (RBC) model, labor can be viewed as temporary employment since the firm's demand for labor behaves directly in response to stochastic productivity shocks in each period. This paper provides a tractable way of analyzing fluctuations in permanent and temporary employment over the business cycle, as well as the underlying driving forces. This inclusion of heterogeneity helps reconcile the RBC model with the U.S. data given that temporary employees in general only account for a small proportion of total private‐sector employment (about 2%–3%). We draw an explicit division between permanent and temporary employment and resort to this separation to account for stylized facts that characterize a two‐tier labor market. In particular, with regard to the U.S. labor market, our benchmark model can well explain the motivating facts: (1) temporary employment is much more volatile than permanent employment, (2) the share of temporary employment (the ratio of temporary to aggregate employment) exhibits strong pro‐cyclicality, (3) permanent employment lags by two quarters on average, and (4) the correlation between temporary employment and output is stronger than that involving the permanent counterpart. The quantitative analysis suggests that our proposed channels explain the main facts well and the model further provides plausible reasoning for a firm's labor hoarding. (JEL E24, E32)     

A critical examination of key assumptions underlying diversity and social justice courses in social work

This article examines underlying assumptions of Master of Social Work diversity and social justice courses as sites that embody social work’s dual projects of social justice and professionalization. Through a latent content analysis of course syllabi from 27 US-based social work programs, three key assumptions emerged: (1) social workers are members of dominant social groups; (2) cultural competency and anti-oppression are compatible frameworks; (3) self-awareness mitigates oppression. Findings reflect the reification of dominant culture groups in social work and promotion of individual-level skill development over structural change. Implications and recommendations for social work education and future research are discussed.     

Measuring Ethnicity with U.S. Census Data: Implications for Mexicans and Arabs

U.S. racial and ethnic populations can be defined by a number of census questions—race/ethnicity, ancestry, place of birth, and/or language—but little is known about how using alternative definitions of identity affect the size and characteristics of different groups. This article examines this question using combined data from the 1 % and 5 % Public Use Microdata Samples in census 2000, using Mexicans and Arabs as case studies. The analysis uses the standard method of classifying these groups (Hispanic origin and Arab ancestry) as a baseline to explore differences across the range of possible permutations of ethnic identity. In the Arab case, persons captured using alternative definitions of identity (Arabic language at home and/or born in an Arab country) are lesser educated, more likely to be in poverty, and more likely to identify as non-white or multi-racial than the Arab population as a whole. In contrast, persons in the Mexican alternative definition group (Mexican ancestry and/or born in Mexico) are more highly educated, less likely to be in poverty, and more likely to identify as white than the Mexican population as a whole. The article concludes with research and policy implications of these findings.