‘Keeping the story alive’: is ethnic and racial dilution inevitable for multiracial people and their children?

This paper explores how multiracial parents with White partners articulate narratives of ethnic and racial ‘dilution’ and cultural loss in relation to the socialization of their children. In our broader study of how multiracial parents raise their children, we found that parents commonly spoke of concerns around dilution and generational change in relation to four key themes: the loss of cultural knowledge and diminishing practices that connected parents and their children to a minority ancestry; the embodiment of White‐appearing children and the implications of this for family relationships; the use of biological or genetic discourses in relation to reduced blood quantum; and concerns amongst Black/White participants about whitening and the loss of racial consciousness. Parental understandings of dilution varied greatly; some expressed sadness at ‘inevitable’ loss; others were more philosophical about generational change; and others still proactively countered loss through strategies to connect their children to their minority heritages. We show that despite growing awareness of the social constructedness of race and an emergent cosmopolitanism among these parents, discourses of genetics, cultural lineage, and the ‘naturalness’ of race continue to hold sway amongst many multiracial parents.     

A Bayesian estimate of the concordance correlation coefficient with skewed data

Concordance correlation coefficient (CCC) is one of the most popular scaled indices used to evaluate agreement. Most commonly, it is used under the assumption that data is normally distributed. This assumption, however, does not apply to skewed data sets. While methods for the estimation of the CCC of skewed data sets have been introduced and studied, the Bayesian approach and its comparison with the previous methods has been lacking. In this study, we propose a Bayesian method for the estimation of the CCC of skewed data sets and compare it with the best method previously investigated. The proposed method has certain advantages. It tends to outperform the best method studied before when the variation of the data is mainly from the random subject effect instead of error. Furthermore, it allows for greater flexibility in application by enabling incorporation of missing data, confounding covariates, and replications, which was not considered previously. The superiority of this new approach is demonstrated using simulation as well as real‐life biomarker data sets used in an electroencephalography clinical study. The implementation of the Bayesian method is accessible through the Comprehensive R Archive Network. Copyright © 2015 John Wiley & Sons, Ltd.     

Small Area Estimation Using Estimated Population Level Auxiliary Data

Unit level linear mixed models are often used in small area estimation (SAE), and the empirical best linear unbiased prediction (EBLUP) is widely used for the estimation of small area means under such models. However, EBLUP requires population level auxiliary data, atleast area specific aggregated values. Sometimes population level auxiliary data is either not available or not consistent with the survey data. We describe a SAE method that uses estimated population auxiliary information. Empirical results show that proposed method for SAE produces an efficient set of small area estimates.     

混业经营:21世纪中国金融业发展的必由之路

混业经营是世界金融业发展的大趋势,它必将对中国金融业的发展产生重要影响。文章在阐述21世纪中国金融业混业经营的客观必然性的基础上,分析21世纪中国金融业混业经营的可行条件和现实障碍,并提出21世纪中国金融业混业经营的对策。     

新型树脂切割砂轮的研制

本文介绍一种新型的混合磨料树脂结合剂切割砂轮的制造技术,对其切割机理进行了探讨,系统阐述了影响树脂切割砂轮的切割效率、耐用度等方面的因素.     

新的空洞型损伤演化律及损伤弹塑性大变形有限元描述

本文通过对细观空洞模型的分析，推导出各向同性／运动混合强化材料更为真实和简单的损伤演化和弱化函数的表达式，式中考虑了空洞形状变化对损伤演化的影响，将所得的空洞演化率和弱化函数嵌入新的增量型内本构呆，并考虑损伤引起的塑性体积膨胀，得到了损伤弹塑性大变形内时本构方程，发展相应的轴对称有限元分析程序，用其分析圆柱拉伸试件的颈缩和开有切槽的圆柱试件在切槽前缘的应力和损伤分布，得到与实验较为吻合的结果。     

关于财经类院校英语专业的课程设置及人才培养

复合型英语人才的培养是一种全新的人才培养模式。课程建设是复合型英语人才培养过程中极其重要的环节,因为课程是培养目标的具体体现,是实现人才培养的根本途径。因此,加快教学改革,调整课程设置和教学内容已是当务之急。     

A Mixed Model Approach for Geoadditive Hazard Regression

Abstract.  Mixed model based approaches for semiparametric regression have gained much interest in recent years, both in theory and application. They provide a unified and modular framework for penalized likelihood and closely related empirical Bayes inference. In this article, we develop mixed model methodology for a broad class of Cox-type hazard regression models where the usual linear predictor is generalized to a geoadditive predictor incorporating non-parametric terms for the (log-)baseline hazard rate, time-varying coefficients and non-linear effects of continuous covariates, a spatial component, and additional cluster-specific frailties. Non-linear and time-varying effects are modelled through penalized splines, while spatial components are treated as correlated random effects following either a Markov random field or a stationary Gaussian random field prior. Generalizing existing mixed model methodology, inference is derived using penalized likelihood for regression coefficients and (approximate) marginal likelihood for smoothing parameters. In a simulation we study the performance of the proposed method, in particular comparing it with its fully Bayesian counterpart using Markov chain Monte Carlo methodology, and complement the results by some asymptotic considerations. As an application, we analyse leukaemia survival data from northwest England.     

陕北燎百病风俗的地域含义探析

岁时风俗是一种现实的民俗文化现象,同时也是历史文化现象的积淀,产生于特定的地理环境之中。陕北地处黄土高原地区农牧交错地带,历史上先后在这里生活过的民族众多,相互交流,故其燎百病风俗深受汉族农耕文化和北方游牧文化的影响,包含着鲜明的农本价值指向和强烈的除病驱邪作用。     

《诗经》评点三种来源考论

自明末以来的《诗经》评本约存三十种,按其来源可分为原创评点、转录评点、嫁接评点三种。本文在对现存评本进行考察梳理的基础上,对这三种来源进行了阐说。