Has immobility been left behind in migration regulatory infrastructures?

The article brings the concept of the immobile left-behind population into the migration infrastructure debates focusing on countries of migrants' origin. Drawing on an analysis of government's migration policy in Kyrgyzstan and interviews with stakeholders in rural areas, the article concludes that the government relies on a traditional sectoral approach and agriculture in this regard and stands separately from mobility contexts. The policy discourse around outgoing migration focuses on mobility but less engages with return migration and the situation with left behind. We show how remittances-dependant country keeps migration policy as a non-active management tool. A starting point for a more holistic policy approach that includes the left-behind population would be facilitating discussion of left-behind needs in regions with active outmigration, including a wide range of stakeholders from migrants, family members, local authorities and migrant organizations. That would require essential changes in how policies are formulated and implemented, including introducing a cross-cutting and multi-level governance approach.     

Using the RE‐AIM framework to identify and describe best practice models in family‐based intervention development: A systematic review

The family unit carries with it a responsibility of possibly being the most important predictor of positive child development. The aim of this systematic review is to identify and describe best practice models or processes in family‐based intervention development. The following databases were included in the review: PsychArticles, Academic Search Complete, ERIC, SocIndex, Sage, Sabinet, and Pubmed. Peer‐reviewed, English language, qualitative, quantitative, and mixed methods in nature conducted within the last 10 years. Interventions were required to include families as part of the programme as well as describe the model or process used in intervention development. Two self‐developed data extraction tables were developed for this review. The articles included for review were heterogeneous in terms of the outcomes, and so a narrative synthesis was used. After yielding an initial search of 400 studies, 28 articles were finally included for extraction and analysis with varying levels of intervention strength. Interventions are further described in terms of reach, effectiveness, adoption, implementation, and maintenance dimensions. A feasible intervention appears to be one that is flexible, engages processes to recruit those who are most at‐risk and is facilitated by someone known to or from the same community as the participants, can retain its participants, and can be evaluated with the same participants at a minimum of 6 months later.     

确保从研究到开发界面的有效管理 --R&D个体的知识转移管理

在技术密集型公司中一个重要的问题是构建"无隔层创新流程"(seamlessinnovationprocesses)."这里无发明"(not-invented-here,NIH)综合症和其它的障碍严重影响着研究和开发之间知识和技术的有效转移.由于存在着保守型结构、过时的转移设备以及下游职能定位模糊等原因,知识转移经常失败.从研究到开发产生障碍的原因主要有以下几方面:职能分割、地理位置、专业偏好和文化背景等.首先,我们在25家公司做了100多次的半结构性访谈;然后,我们在技术密集型产业做深入的案例研究.改进从研究到开发的界面总是围绕着R&D个体展开.我们通过对ABB、Hitachi、IBM、Kao、Unisys以及xerox等公司的案例分析,得出了一些成功的实践经验.我们得出这样的结论:从研究到开发界面的有效管理通过对管理R&D个体的知识转移获得.     

Prediction intervals for time series models with trend via sieve bootstrap

This paper discusses method for constructing the prediction intervals for time series model with trend using the sieve bootstrap procedure. Gasser–Müller type of kernel estimator is used for trend estimation and prediction. The boundary modification of the kernel is applied to control the edge effect and to construct the predictor of a trend.     

The use of antidepressant medications in substance abuse treatment: the public-private distinction, organizational compatibility, and the environment

Many studies of innovation adoption in health care organizations focus either on organizational characteristics or the institutional environment, but not both. Furthermore, these perspectives are rarely employed simultaneously in both public and private health care organizations. This research considers the public-private distinction, organizational compatibility, and interorganizational referral relationships in the use of selective serotonin reuptake inhibitors (SSRIs) by substance abuse treatment organizations. Using data from nationally representative samples of 363 publicly funded and 403 privately funded substance abuse treatment centers, a four-category typology of public and private organizations initially predicted variation in SSRI use. However some differences were no longer significant once organizational and environmental characteristics were added to the statistical model. These data support hypotheses about the associations between organizational characteristics and SSRI use as well as hypotheses regarding the external environment. Future research should continue to integrate both internal and external factors in theoretical explanations of innovation adoption.     

JOB STRESS, DRINKING NETWORKS, AND SOCIAL SUPPORT AT WORK:

Most research examining the problem drinking behaviors of employees has sought to demonstrate that variation in alcohol consumption derives from nonrewarding or stressful aspects of modern work that promote intrapsychic stress and/or alienation. These inquiries have ignored additional job factors that might influence employee drinking patterns. We extend this literature by developing and testing a comprehensive model of influences on employee problem drinking. The model includes the simultaneous influences of stressful working conditions, participation in job-based drinking networks, and perceived social support on the job. Analyses of data from the 1991 National Employee Survey (NES) indicate that this explanatory model significantly improves our understanding of the job-related influences on employee problem drinking. We also demonstrate that each class of job factors has important mediated influences on problem drinking that result from their association with individualized job escapist-oriented reasons for drinking.     

Collinearity diagnostic applied in ridge estimation through the variance inflation factor

The variance inflation factor (VIF) is used to detect the presence of linear relationships between two or more independent variables (i.e. collinearity) in the multiple linear regression model. However, the traditionally used VIF definitions encounter some problems when extended to the case of the ridge estimation (RE). This paper presents an extension of the VIF in RE by providing two alternative VIF expressions that overcome these problems in the general case. Some characteristics of these expressions are also presented and compared with the traditional expression. The results are illustrated with an economic example in the case of three independent variables and with a Monte Carlo simulation for the general case.     

Desire and Procreation in the Ukrainian Tales of Hryhorii Kvitka-Osnov’ianenko

Recently, Hryhorii Kvitka-Osnov’ianenko has come under criticism from feminists for originating female characters whose repression of sexuality contributed to the perpetuation of a “patriarchal discourse” constitutive of Ukrainan populism. The problem with this take is that it ignores the fact that it is anxiety about sexuality as such, including its essential “patriarchal” correlate procreation, that informs Kvitka’s Ukrainian stories. The consequences of this anxiety—namely, an entire series of childless heroes and heroines, whose erotic desires are effectively foreclosed—is to undermine the conservative patriarchal order that is at the heart of Kvitka’s overt ideology. As in Gogol, what remains is a vision of an occluded, doomed society.