He Said What? Guided Cognitive Reframing About the Co‐Resident Father/Stepfather–Adolescent Relationship

We studied young adolescents' seeking out support to understand conflict with their co‐resident fathers/stepfathers, and the cognitive and affective implications of such support‐seeking, phenomena we call guided cognitive reframing. Our sample included 392 adolescents (M_age = 12.5, 52.3% female) who were either of Mexican or European ancestry and lived with their biological mothers and either a stepfather or a biological father. More frequent reframing was associated with more adaptive cognitive explanations for father/stepfather behavior. Cognitions explained the link between seeking out and feelings about the father/stepfather and self. Feelings about the self were more strongly linked to depressive symptoms than cognitions. We discuss the implications for future research on social support, coping, guided cognitive reframing, and father–child relationships.     

Will nuclear power pay for itself?

Will nuclear power ever generate enough revenue to cover its costs? Historical data covering capital, fuel, operations, maintenance, decommissioning, and waste disposal costs, and generation and revenue figures during the period 1953 through 1991 were analyzed and compared. The analysis shows that nuclear power is currently nowhere near meeting its costs. Scenarios projecting future costs and revenues were developed. Analysis of these projections suggests that even under the most optimistic conditions (where costs are cut considerably and revenues climb substantially), the current generation of the nuclear option over its lifetime may be best be economically marginal.     

The Development of Cross-Cultural Talent

正I believe that there are many different elements to an outstanding education today.But the element that may be the most new,the most different from what constituted an outstanding education in the past,is the need to help today’s talents to become cross-cultural talents.     

Modeling time series data with semi-reflective boundaries

Time series data are increasingly common in many areas of the health sciences, and in some instances, may have natural boundaries serving as performance guidelines or as thresholds associated with adverse outcomes. Such boundaries may be labeled as semi-reflective, in that the time series values have an increased chance of returning towards middle levels as the boundaries are approached, but boundaries can still be breached. In this paper we review a model that was previously proposed for such data and we investigate its statistical properties. Specifically, this model consists of a third-order auto-regressive projection component, parameterized as a constrained linear combination of linear, flat, and quadratic trends, and an error term that uses a logistic regression model for its sign. We describe and compare a previously-proposed estimation method with a modified version thereof, using computer simulations, as well as data examples from heart monitoring and from a driving simulator. We find that the two methods tend to give different results, with the modified technique having lower bias and more accurate confidence intervals than the previously-proposed method.