Living Near to Attractive Nature? A Well-Being Indicator for Ranking Dutch,Danish, and German Functional Urban Areas

While nature is widely acknowledged to contribute to people’s well-being, nature based well-being indicators at city-level appear to be underprovided. This study aims at filling this gap by introducing a novel indicator based on the proximity of city-residents to nature that is of high-amenity. High-amenity nature is operationalized by combining unique systematic data on people’s perceptions of what are the locations of attractive natural areas with data on natural land cover. The proposed indicator departs from the usual assumption of equal well-being from any nature, as it approximates the ‘actual’ subjective quality of nature near people’s homes in a spatially explicit way. Such indicator is used to rank 148 ‘cities’ in the Netherlands, Denmark, and Germany. International comparability of the indicator is enhanced by the use of a definition of cities as functional urban areas (FUAs), which are consistently identified across countries. Results demonstrate that the average ‘nearness’ of FUA populations to high amenity nature varies widely across the observed FUAs. A key finding, that complements insights from existing city-level indicators, is that while populations of FUAs with higher population densities may live relatively far from nature in general, they also live, on average, closer to high-amenity nature than inhabitants of lower density FUAs. Our results may stimulate policy-debates on how to combine urban agglomeration with access to natural amenities in order to account for people’s wellbeing.     

Adaptive multiple importance sampling for Gaussian processes

In applications of Gaussian processes (GPs) where quantification of uncertainty is a strict requirement, it is necessary to accurately characterize the posterior distribution over Gaussian process covariance parameters. This is normally done by means of standard Markov chain Monte Carlo (MCMC) algorithms, which require repeated expensive calculations involving the marginal likelihood. Motivated by the desire to avoid the inefficiencies of MCMC algorithms rejecting a considerable amount of expensive proposals, this paper develops an alternative inference framework based on adaptive multiple importance sampling (AMIS). In particular, this paper studies the application of AMIS for GPs in the case of a Gaussian likelihood, and proposes a novel pseudo-marginal-based AMIS algorithm for non-Gaussian likelihoods, where the marginal likelihood is unbiasedly estimated. The results suggest that the proposed framework outperforms MCMC-based inference of covariance parameters in a wide range of scenarios.     

VIF-based adaptive matrix perturbation method for heteroskedasticity-robust covariance estimators in the presence of multicollinearity

In this study, we investigate linear regression having both heteroskedasticity and collinearity problems. We discuss the properties related to the perturbation method. Important observations are summarized as theorems. We then prove the main result that states the heteroskedasticity-robust variances can be improved and that the resulting bias is minimized by using the matrix perturbation method. We analyze a practical example for validation of the method.     

Presence and process of fear of birth during pregnancy—Findings from a longitudinal cohort study

Background

The prevalence of fear of birth has been estimated between 8–30%, but there is considerable heterogeneity in research design, definitions, measurement tools used and populations. There are some inconclusive findings about the stability of childbirth fear.

Birth preference in women undergoing treatment for childbirth fear: A randomised controlled trial

Background

Childbirth fear is the most common underlying reason for requesting a caesarean section without medical reason. The aim of this randomised controlled study was to investigate birth preferences in women undergoing treatment for childbirth fear, and to investigate birth experience and satisfaction with the allocated treatment.

中国社会养老的文化分析

本文关注福利文化对社会养老制度和实践的影响,从文化视角审视中国现代社会养老项目的发展,揭示了老年社会福利模式与特定社会政策制定者对社会福利概念的理解和传统福利文化之间的关系。限定主义的价值观和公民权利意识的缺失阻碍着中国老年社会福利模式从剩余性到制度性的转变,抑制了社会福利在缩小老年群体内阶层差异方面的作用,促使了福利资源分配的不公。尽管人口老龄化和福利国家的文化扩散正在促使中国老年社会福利呈多元化发展趋势,多元福利体系的最终建立还有赖于社会公众和政策制定者对个人和国家关系的重新解读。     

加强"两新"组织党建工作机制建设的思考

建立健全"两新"组织党建工作机制是进一步推进"两新"组织党建工作,确保"两新"组织健康和谐发展的必然要求.文章通过对玉林市加强"两新"组织党建工作建设的做法进行探讨,深入研究加强"两新"组织党建工作的特点和规律.     

Children’s Strategies for Agency in Preschool

This article is based on an ethnographic study of children’s everyday life in Swedish preschools. The ethnography is used to explore children’s strategies for influencing, defending and constructing the social order of a preschool institution. The focus of our concern is on how the children, in their interactions with each other and with the preschool teachers, manage the collective regulation and how they negotiate their participation in collective activities. There is an inherent tension between free play and the high degree of routinised and collective activities within the preschool institution. The study shows that children are active in playing at the border, acting as if the institution is the children’s place. It also shows how they draw on different strategies as resources for managing the regulations, accounting for personal autonomy and negotiating the social order. In taking a child perspective and acknowledging children as active agents, it is possible to see how they influence and shape their everyday life in a preschool context. In addition, the article illustrates individual children’s strategic and pragmatic use of resources and in doing so contribute to their own childhood and thereby become part of a social and cultural construction process.     

关于武汉市构建城市和谐民族关系调控机制的调研报告

随着改革开放的深入和社会主义市场经济的发展 ,城市化进程逐步加快 ,民族散居化日趋明显 ,城市民族问题日益突出 ,城市民族关系面临着新形势和新问题。本文以武汉市为个案 ,对当前城市民族关系的特点、影响城市民族关系的主要因素进行了调查和分析 ,结合武汉市民族工作实践提出了要构建城市和谐民族关系调控机制的观点 ,并从加强调控主体、完善调控手段、确立调控效果评估体系等方面对调控机制进行了研究探讨。