Streaming Film: How to Serve Our Users

Streaming video is an integral part of the curriculum for many academic courses. While faculty may have used DVDs in the classroom, the increase in online course instruction and the expectations of students comfortable with using streaming video in their personal lives has led to instructors making more requests of librarians to supply films—both instructional and feature—through streaming. Staff at the University Libraries of the University of North Carolina at Greensboro (UNCG) responded to this need as they worked across departments to create efficient workflows, worked with distributors and conducted a pilot project to learn more about the current streaming film environment, established policies, offered technical support, and shared information with faculty by a variety of means.     

Advocacy for parents and carers involved with children's services: making a difference to working in partnership?

This paper explores findings from the evaluation of a scheme providing direct advocacy to parents where there were concerns about their ability to provide safe care for their children. The evaluation explored the views of service users, social workers and conference chairpersons and found general agreement that the advocacy scheme contributed positively to the process of working in partnership. This is of interest given research findings which suggest that working in partnership is particularly difficult in cases involving child protection issues. However, it is noted that there appears to be little political will to develop advocacy schemes for parents in the UK, and this is of concern given the lack of supports available to them to navigate a complex and often intimidating system.     

Narrative stability in interview accounts

We identify and discuss the phenomenon of narrative stability, in the context of current methodological literature on interviewing. It derives from two independent studies, undertaken fifteen years apart, of members of the same genetics research group who were interviewed by different researchers. The first (‘Discovery’) interviews were collected very soon after the breakthrough was first published. The second (‘Legacy’) interviews were based on informants looking back at those events. Some strikingly similar narrative episodes across those accounts suggest strong narrative stability. In the course of interviews, informants reproduce biographical stories that are well sedimented. Not all interview materials, therefore, should be thought of exclusively in terms of co-production between interviewer and informant.     

Alzheimer's Disease Caregiver Burden: Does Resilience Matter?

Caring for an individual with Alzheimer's disease is at times challenging and can lead to caregiver burden. Resilience is a personality characteristic that has emerged as a protective factor among aging individuals. This study was conducted to examine the moderating effect of resilience between caregiver stressors and caregiver burden. The results indicate that resilience was not identified as a moderator between stressors and caregiver burden; however, a relationship exists between resilience and caregiver burden. Specifically, as resilience in Alzheimer's disease caregivers increases, their caregiver burden decreases. These findings highlight the importance of supportive interventions that will increase resilience in Alzheimer's disease caregivers.     

Subsequent child protection contact for a cohort of children reported to child protection prenatally in one Australian jurisdiction

Repeated reporting to child protection is common. One approach to early intervention is for jurisdictions to receive and respond to child protection concerns raised before children are born. Despite this, little research has comprehensively examined subsequent child protection contact for those first reported prenatally. This study aimed to examine the subsequent child protection contact for up to a two-year period for a cohort of children who were reported about prebirth. Child protection administrative data were extracted for 640 children reported for a concern about an unborn child in a single jurisdiction during 2014. Data about child protection contacts included reports, investigations, substantiations and out-of-home placements for children reported prenatally. Of the 640 children, 79% reported about prenatally also had contact with child protection between birth and age two. From birth and up to age two, children reported prenatally had between zero and 21 reports. Twenty-two per cent of the children reported prenatally were removed from their birth parents and placed in out-of-home care prior to age two. These findings highlight the importance of intervening and supporting families prior to and during pregnancy to reduce harm to children and reduce the need for contact with child protection.     

Slope heuristics: overview and implementation

Model selection is a general paradigm which includes many statistical problems. One of the most fruitful and popular approaches to carry it out is the minimization of a penalized criterion. Birgé and Massart (Probab. Theory Relat. Fields 138:33–73, 2006) have proposed a promising data-driven method to calibrate such criteria whose penalties are known up to a multiplicative factor: the “slope heuristics”. Theoretical works validate this heuristic method in some situations and several papers report a promising practical behavior in various frameworks. The purpose of this work is twofold. First, an introduction to the slope heuristics and an overview of the theoretical and practical results about it are presented. Second, we focus on the practical difficulties occurring for applying the slope heuristics. A new practical approach is carried out and compared to the standard dimension jump method. All the practical solutions discussed in this paper in different frameworks are implemented and brought together in a Matlab graphical user interface called capushe. Supplemental Materials containing further information and an additional application, the capushe package and the datasets presented in this paper, are available on the journal Web site.     

The Changing Impact of Industry,Household Structure,and Residence on Household Weil-Being1

Abstract The changing impact of industry, household structure, and residence on household well-being during the 1980s is examined with data from the Current Population Survey for 1981–1982 and 1990–1991. Findings indicate that household well-being was greatest for those families relying on traditional higher-wage industries (high-wage manufacturing, government, mining). The well-being of families relying on higher-wage services was lower, most likely a consequence of the prevalence of marginal and low-paying jobs in the service sector. Rewards associated with employment in construction and low-wage manufacturing were not consistently greater than those associated with employment in low-wage services. While changes in the impact of industry were minor, significant changes occurred in the impact of an additional earner on economic well-being over the decade. Results indicate that increasing hardship has been experienced by vulnerable populations, such as nonmetropolitan and single-headed families, and minority households, particularly Hispanics. Implications for economic development strategies and work-related assistance programs are highlighted.     

Meeting the Needs of the Adoption Triangle Through Open Adoption: The Birthmother

Open adoption is a relatively new and controversial practice. However, in many cultures this practice is traditional. In this first of a series of articles, the affect of open adoption upon birthparents is discussed. The open process facilitates appropriate grieving, enables decision making and furthers the growth of the birthmother.     

On double hysteretic heteroskedastic model

ABSTRACT

This paper proposes a hysteretic autoregressive model with GARCH specification and a skew Student's t-error distribution for financial time series. With an integrated hysteresis zone, this model allows both the conditional mean and conditional volatility switching in a regime to be delayed when the hysteresis variable lies in a hysteresis zone. We perform Bayesian estimation via an adaptive Markov Chain Monte Carlo sampling scheme. The proposed Bayesian method allows simultaneous inferences for all unknown parameters, including threshold values and a delay parameter. To implement model selection, we propose a numerical approximation of the marginal likelihoods to posterior odds. The proposed methodology is illustrated using simulation studies and two major Asia stock basis series. We conduct a model comparison for variant hysteresis and threshold GARCH models based on the posterior odds ratios, finding strong evidence of the hysteretic effect and some asymmetric heavy-tailness. Versus multi-regime threshold GARCH models, this new collection of models is more suitable to describe real data sets. Finally, we employ Bayesian forecasting methods in a Value-at-Risk study of the return series.