Mental health and behavioral problems of youth in the child welfare system: residential treatment centers compared to therapeutic foster care in the Odyssey Project population

This is the first multisite, prospective study of behavioral and mental health disorders of youth in residential treatment centers (RTC) and therapeutic foster care (TFC), and the first study to compare the two. This study addressed two questions in a sample of 22 agencies in 13 states: (1) how prevalent were emotional and behavioral disorders in the youth admitted to RTCs and TFC?, and (2) were the youth in RTCs significantly more likely to be disturbed than youth served in TFCs? Data were drawn from the Time 1 phase of the longitudinal national "Odyssey Project" developed by the Child Welfare League of America (1995). Measures included an extensive child and family characteristics form (CFC) and the Child Behavior Checklist (CBCL). The results revealed extremely high levels of behavioral and mental health disorders in the sample as a whole, well above the norms for a non-child welfare population. The prevalence of disorder in the RTC population was substantially greater than in the TFC population.     

The unconstrained binary quadratic programming problem: a survey

In recent years the unconstrained binary quadratic program (UBQP) has grown in importance in the field of combinatorial optimization due to its application potential and its computational challenge. Research on UBQP has generated a wide range of solution techniques for this basic model that encompasses a rich collection of problem types. In this paper we survey the literature on this important model, providing an overview of the applications and solution methods.     

Mindfulness‐Based Relationship Education for Couples Expecting their First Child—Part 2: Phenomenological Findings

This phenomenological study is the second phase of a larger mixed methods study of a relationship‐enhancement program for couples expecting their first child (see Gambrel & Piercy, this issue). The 4‐week Mindful Transition to Parenthood Program uses mindfulness practices and interpersonal activities to develop skills of internal and interpersonal attunement. Based on semi‐structured interviews with thirteen couples, four overarching themes emerged: (a) positive changes for self, (b) improvements in couple relationship, (c) more prepared for baby, and (d) male involvement. Participants stated that the program increased their acceptance and awareness, deepened connections with their partners, and led them to be more confident about becoming parents. Male participants felt they became more identified as fathers. The authors discuss the clinical implications of these findings. Video Abstract     

Optimizing Service Attributes: The Seller's Utility Problem*

Service designers predict market share and sales for their new designs by estimating consumer utilities. The service's technical features (for example, overnight parcel delivery), its price, and the nature of consumer interactions with the service delivery system influence those utilities. Price and the service's technical features are usually quite objective and readily ascertained by the consumer. However, consumer perceptions about their interactions with the service delivery system are usually far more subjective. Furthermore, service designers can only hope to influence those perceptions indirectly through their decisions about nonlinear processes such as employee recruiting, training, and scheduling policies. Like the service's technical features, these process choices affect quality perceptions, market share, revenues, costs, and profits. We propose a heuristic for the NP‐hard service design problem that integrates realistic service delivery cost models with conjoint analysis. The resulting seller's utility function links expected profits to the intensity of a service's influential attributes and also reveals an ideal setting or level for each service attribute. In tests with simulated service design problems, our proposed configurations compare quite favorably with the designs suggested by other normative service design heuristics.     

What makes a developmental network state durable?

As dynamic collaborations between networks of specialists have become more central to developing cutting-edge innovations, designing and sustaining innovation policies that foster them has become an increasingly central concern. This article reviews the characteristics of the “developmental network” or “neo-developmental” states that have been shown to foster innovations at the technological horizon. It then analyzes the US case to suggest why some developmental network approaches to governance have proven relatively durable, while others have not. We conclude with a discussion of what can – and cannot – be learned from the US case, and suggest the importance of comparative work on the sustainability of effective innovation-centered approaches to governance.     

Environmental migration as short- or long-term differences from a trend: A case study of Hurricanes Katrina and Rita effects on out-migration in the Gulf of Mexico

An environmental event that damages housing and the built environment may result in either a short- or long-term out-migration response, depending on residents' recovery decisions and hazard tolerance. If residents move only in the immediate disaster aftermath, then out-migration will be elevated only in the short-term. However, if disasters increase residents' concerns about future risk, heighten vulnerability, or harm the local economy, then out-migration may be elevated for years after an event. The substantive aim of this research brief is to evaluate hypotheses about short- and long-term out-migration responses to the highly destructive 2005 hurricane season in the Gulf of Mexico. The methodological aim is to demonstrate a difference-in-differences (DID) approach analysing time series data from Gulf Coast counties to compare short- and long-differences in out-migration probabilities in the treatment and control counties. We find a large short-term out-migration response and a smaller sustained increase for the disaster-affected coastal counties.     

Analyzing and Modeling the Maximum Diversity Problem by Zero-One Programming*

The problem of maximizing diversity deals with selecting a set of elements from some larger collection such that the selected elements exhibit the greatest variety of characteristics. A new model is proposed in which the concept of diversity is quantifiable and measurable. A quadratic zero-one model is formulated for diversity maximization. Based upon the formulation, it is shown that the maximum diversity problem is NP-hard. Two equivalent linear integer programs are then presented that offer progressively greater computational efficiency. Another formulation is also introduced which involves a different diversity objective. An example is given to illustrate how additional considerations can be incorporated into the maximum diversity model.