The Paradoxes of Recovery Policy: Exploring the Impact of Austerity and Responsibilisation for the Citizenship Claims of People with Drug Problems

This article critically examines the implications accompanying the introduction and implementation of recovery‐based policy. The article draws upon research conducted in Lancashire, England, where commissioners have been at the forefront of recent developments in ‘whole system’ models of commissioning. Empirical data are drawn on to make a series of new arguments about the tensions and practice implications of the new recovery agenda. The article has three main objectives. First, it explores current shifts in England, in which drug service commissioning has moved from being centrally funded and directed, to locally determined. Second, it references the rise of the well‐informed user in the reconfigured landscape of recovery and the ways in which commissioning models may enhance or negate the contribution of user activists to local cultures of recovery. Third, it references the changing political context, in which austerity is being used to increase the pressure on provider services to demonstrate social value, utility and effectiveness. The article argues that there is a palpable need to re‐politicize drug debates and recognize the structural and demographic factors which frame problem drug use, as well as the social and cultural factors which support or negate their opportunities for recovery.     

Oxytocin discontinuation after the active phase of induced labor: A systematic review

Background

Oxytocin is the most widely used drug in the induction of labor, but it could have potential adverse effects that derive from uterine hyperstimulation.

Variable Selection in Linear Mixed Models Using an Extended Class of Penalties

There is an emerging need to advance linear mixed model technology to include variable selection methods that can simultaneously choose and estimate important effects from a potentially large number of covariates. However, the complex nature of variable selection has made it difficult for it to be incorporated into mixed models. In this paper we extend the well known class of penalties and show that they can be integrated succinctly into a linear mixed model setting. Under mild conditions, the estimator obtained from this mixed model penalised likelihood is shown to be consistent and asymptotically normally distributed. A simulation study reveals that the extended family of penalties achieves varying degrees of estimator shrinkage depending on the value of one of its parameters. The simulation study also shows there is a link between the number of false positives detected and the number of true coefficients when using the same penalty. This new mixed model variable selection (MMVS) technology was applied to a complex wheat quality data set to determine significant quantitative trait loci (QTL).     

‘Orphans and Rich People’: A Discourse Analysis of the ‘Children's Lives’ Exhibition in Birmingham,UK

In 2012, an art gallery in Birmingham, England presented an exhibition of ‘Children's Lives’. Through its curation of photography, fine art, objects, video and text, ‘Children's Lives’ claimed to ‘let childhood through the ages speak for itself’ and to contribute ‘to a debate over what it means to be a child’. In this article, we offer a critical analysis of the exhibition, examining the relationship between the exhibition as discourse and the ‘external’ discourses around childhood that are reinforced, negotiated and in some cases challenged by the assemblage of image, text and the spatial ‘narrative’ of the gallery.     

Over-relaxation methods and coupled Markov chains for Monte Carlo simulation

This paper is concerned with improving the performance of certain Markov chain algorithms for Monte Carlo simulation. We propose a new algorithm for simulating from multivariate Gaussian densities. This algorithm combines ideas from coupled Markov chain methods and from an existing algorithm based only on over-relaxation. The rate of convergence of the proposed and existing algorithms can be measured in terms of the square of the spectral radius of certain matrices. We present examples in which the proposed algorithm converges faster than the existing algorithm and the Gibbs sampler. We also derive an expression for the asymptotic variance of any linear combination of the variables simulated by the proposed algorithm. We outline how the proposed algorithm can be extended to non-Gaussian densities.     

Bayesian likelihood methods for estimating the end point of a distribution

Summary.  We consider maximum likelihood methods for estimating the end point of a distribution. The likelihood function is modified by a prior distribution that is imposed on the location parameter. The prior is explicit and meaningful, and has a general form that adapts itself to different settings. Results on convergence rates and limiting distributions are given. In particular, it is shown that the limiting distribution is non-normal in non-regular cases. Parametric bootstrap techniques are suggested for quantifying the accuracy of the estimator. We illustrate performance by applying the method to multiparameter Weibull and gamma distributions.     

镁铝尖晶石本征色心的计算机模拟

利用计算机模拟技术和经验参数化方法，通过对镁铝尖晶石(MgAl2O4)晶体结构、晶格形成能及本征缺陷形成能的计算，论证了镁空位VMg^2-、氧空位Vo^2 和少量的AlMg^ 是MgAl2O4中的本征点缺陷．并指出其会以[VMg^2--Vo^2 ]空位对和[VMg^2--2lMg^ ]的形式实现电荷补偿．     

Coverage Bias in Traditional Telephone Surveys of Low-Income and Young Adults

The proportion of adults with only wireless telephones is growingrapidly. Using 2006 data from the National Center for HealthStatistics’ National Health Interview Survey, this articleis among the first to reveal that noncoverage of this populationcan result in nonnegligible bias for traditional random-digit-diallandline telephone surveys that do not call wireless telephonenumbers. In 2006 in the United States, 17 percent of low-incomeadults with household income below 200 percent of the federalpoverty thresholds, 25 percent of young adults aged 18–29years, and 32 percent of low-income young adults lived in householdswith only wireless telephones. Within each of these three subgroups,we compared wireless-only adults and adults with landline telephoneson demographic characteristics and 13 key indicators of healthstatus, health behaviors, health care service use, and healthcare access. Even after statistical adjustments that accountfor demographic differences between adults living in householdswith and without landlines, telephone surveys of landlines willunderestimate the prevalence of health behaviors, such as bingedrinking, smoking, and HIV testing. Obesity may be overestimatedand physical activity may be underestimated for low-income youngadults. No significant bias is predicted for other measuresof health status and health insurance coverage. Sample weightingprocedures that incorporate adjustments for multiple demographiccharacteristics are necessary to help attenuate coverage biasin traditional telephone surveys, but may not be sufficientfor behavioral risk factor surveys of low-income and young adults.     

Making the Transition from Welfare to Work: Employment Experiences of CalWORKs Participants in the San Francisco Bay Area

ABSTRACT

This study describes welfare-to-work participants in the San Francisco Bay Area, support services, experiences with the CalWORKs program, and predictors of employment status in the wake of welfare reform. Findings indicate that many are working and more Stayers and Recidivists than Leavers are using food stamps and Medi-Cal. Multivariate analysis reveals that race and financial supports were the significant factors contributing to employability, defined as the ability to secure employment despite the need to supplement earned income with welfare payments. To help people stay off of welfare, case management services are needed to help participants maintain employment and increase job skills. In addition to expanding our understanding of human behavior within the social environment of poverty, implications for practice and policy are identified.