International Adaptation of a Treatment Program for Situational Couple Violence

Intimate Partner Violence (IPV) is a serious international problem. Stith, S. M., McCollum, E. E., and Rosen, K. H. received funding from the US National Institute of Mental Health to develop and test a program for couples experiencing IPV: Domestic Violence Focused Couples Treatment (DVFCT). This article provides an overview of DVFCT, and presents three case studies illustrating how DVFCT has been adapted for use in Colombia, Iran, and Finland. This article emphasizes the need for adapting treatment models to be culturally informed, provides practice-based evidence for DVFCT as a treatment model, and highlights the importance of careful screening and assessment when working with couples who have experienced violence, no matter the country or location where treatment is being conducted.     

Sparse Markov Chains for Sequence Data

Finite memory sources and variable‐length Markov chains have recently gained popularity in data compression and mining, in particular, for applications in bioinformatics and language modelling. Here, we consider denser data compression and prediction with a family of sparse Bayesian predictive models for Markov chains in finite state spaces. Our approach lumps transition probabilities into classes composed of invariant probabilities, such that the resulting models need not have a hierarchical structure as in context tree‐based approaches. This can lead to a substantially higher rate of data compression, and such non‐hierarchical sparse models can be motivated for instance by data dependence structures existing in the bioinformatics context. We describe a Bayesian inference algorithm for learning sparse Markov models through clustering of transition probabilities. Experiments with DNA sequence and protein data show that our approach is competitive in both prediction and classification when compared with several alternative methods on the basis of variable memory length.     

Possibilities for Intervention in Domestic Violence: Frame Analysis of Health Care Professionals’ Attitudes

ABSTRACT. Violence is a serious problem, and social and health care providers are in a key position for implementing successful interventions. This qualitative study of 6 focus groups with professionals (n = 30) examines the health care professionals’ ways of framing a domestic violence intervention. Of special interest here is how professionals see their own roles in the process of recognizing and helping victims of domestic violence. By using Erving Goffman's frame analysis, this study identifies several frames that either: a) emphasize the obstacles to intervention and justify nonintervention, or on the contrary, b) question these obstacles and find justifications for intervention. The possibilities for intervention are further explored by analyzing the ways in which the dynamics between the different frames allow redefinition of domestic violence interventions. Despite the challenges involved in a domestic violence intervention, there seems to be potential for change in personal attitudes and reform of professional practices. The research findings underline the role of social and health care professionals as members of a larger chain of service providers working collaboratively against domestic violence. Implications for practice and directions in policy and future research are suggested.     

Relating Changes in Life Expectancy to Changes in Mortality

I address the problem of what can be said of changes in mortality rates, if one knows how life expectancies change. I note a general formula relating life expectancies in different ages to mortality and prove that if mortality changes over time following a proportional-hazard model, then there is a one-to-one correspondence between life expectancy at birth and mortality rates. Extensions and an application of these results to the analysis of mortality change are presented.     

Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory

This article examines the recently proposed sequentially normalized least squares criterion for the linear regression subset selection problem. A simplified formula for computation of the criterion is presented, and an expression for its asymptotic form is derived without the assumption of normally distributed errors. Asymptotic consistency is proved in two senses: (i) in the usual sense, where the sample size tends to infinity, and (ii) in a non‐standard sense, where the sample size is fixed and the noise variance tends to zero.     

How to compare interpretatively different models for the conditional variance function

This study considers regression-type models with heteroscedastic Gaussian errors. The conditional variance is assumed to depend on the explanatory variables via a parametric or non-parametric variance function. The variance function has usually been selected on the basis of the log-likelihoods of fitted models. However, log-likelihood is a difficult quantity to interpret – the practical importance of differences in log-likelihoods has been difficult to assess. This study overcomes these difficulties by transforming the difference in log-likelihood to easily interpretative difference in the error of predicted deviation. In addition, methods for testing the statistical significance of the observed difference in test data log-likelihood are proposed.     

Venture Capital Syndication: Synthesis and future directions

This paper reviews and synthesizes the extant literature on venture capital syndication. By considering the questions of how, why and when syndication affects the performance of venture capitalist (VC) firms and their portfolio ventures, a schematic structure of the syndication literature is formed and areas for further research are identified. The results of the review show that, while the venture‐level aspects are relatively well understood, the current literature lacks an understanding of how and why syndication affects the performance of VC firms. This suggests that more attention should be directed towards syndication as a component of the overall strategy of VC firms.     

Bayes Estimates for the Price and Income Elasticities of Alcoholic Beverages in Finland From 1955 to 1980

The Lindley–Smith theory of Bayes estimates for multiple regression equations with exchangeability between the regression coefficients of the individual equations is extended to the case in which a first-order autoregressive process generates the regression coefficients. The ensuing formulas are applied to study monthly Finnish consumption of alcohol. The point of this application is that exchangeability between the regression coefficients is less than we can assess beforehand when there is a natural ordering, in this case according to chronological time, of the equations. Still, the general task of the Lindley–Smith estimators, to consider the combined data when estimating individual regression coefficients, is a relevant one.     

Health Effects Caused by Primary Fine Particulate Matter (PM2.5) Emitted from Buses in the Helsinki Metropolitan Area, Finland

Fine particle (PM(2.5)) emissions from traffic have been associated with premature mortality. The current work compares PM(2.5)-induced mortality in alternative public bus transportation strategies as being considered by the Helsinki Metropolitan Area Council, Finland. The current bus fleet and transportation volume is compared to four alternative hypothetical bus fleet strategies for the year 2020: (1) the current bus fleet for 2020 traffic volume, (2) modern diesel buses without particle traps, (3) diesel buses with particle traps, and (4) buses using natural gas engines. The average population PM(2.5) exposure level attributable to the bus emissions was determined for the 1996-1997 situation using PM(2.5) exposure measurements including elemental composition from the EXPOLIS-Helsinki study and similar element-based source apportionment of ambient PM(2.5) concentrations observed in the ULTRA study. Average population exposure to particles originating from the bus traffic in the year 2020 is assumed to be proportional to the bus emissions in each strategy. Associated mortality was calculated using dose-response relationships from two large cohort studies on PM(2.5) mortality from the United States. Estimated number of deaths per year (90% confidence intervals in parenthesis) associated with primary PM(2.5) emissions from buses in Helsinki Metropolitan Area in 2020 were 18 (0-55), 9 (0-27), 4 (0-14), and 3 (0-8) for the strategies 1-4, respectively. The relative differences in the associated mortalities for the alternative strategies are substantial, but the number of deaths in the lowest alternative, the gas buses, is only marginally lower than what would be achieved by diesel engines equipped with particle trap technology. The dose-response relationship and the emission factors were identified as the main sources of uncertainty in the model.     

Mobile lives,immutable facts: family reunification of children in Finland

The right to family has been confirmed by myriad human rights covenants and it forms an acknowledged part of migration policies. Yet family reunification has become an increasingly contested issue, something reflected in a recent restrictive turn in migration policies throughout Europe. Policy reforms speak of a growing polarity between, on the one hand, adherence to the ‘best interest of the child’ and family life, and on the other, suspicion of fraud. This article examines these tensions via exploration of family reunification procedures in Finland, particularly applications sponsored by minors, thereby drawing attention to the notion of ‘the anchor child’. Drawing on decisions by the Administrative Court of Helsinki as well as interviews with experts and the people concerned, the writers discuss how these polarities are managed in practice, centring their analysis on a quest for truth that deploys various methods, particularly DNA analysis and oral hearings. Ultimately the article highlights an intrinsic paradox in family reunification policies that incorporates the aspiration to produce facts amounting to ‘immutable mobiles’ (Latour, Bruno. 1986. ‘Visualization and cognition: Thinking with the eyes and hands.’ Knowledge and Society 6 (6): 1–40.) and the evident weight of contingent temporalities.