Interquantile shrinkage in additive models

In this paper, we investigate the commonality of nonparametric component functions among different quantile levels in additive regression models. We propose two fused adaptive group Least Absolute Shrinkage and Selection Operator penalties to shrink the difference of functions between neighbouring quantile levels. The proposed methodology is able to simultaneously estimate the nonparametric functions and identify the quantile regions where functions are unvarying, and thus is expected to perform better than standard additive quantile regression when there exists a region of quantile levels on which the functions are unvarying. Under some regularity conditions, the proposed penalised estimators can theoretically achieve the optimal rate of convergence and identify the true varying/unvarying regions consistently. Simulation studies and a real data application show that the proposed methods yield good numerical results.     

The social security number: A small device underpinning big systems

The possession and use of a personal social security number helps to structure people's daily lives. However, despite its fundamental normative importance, the social security number remains a little‐known entity. Increasingly universal and yet diverse in form, it is a legal and technical norm which is as much a mechanism for surveillance and monitoring as it is a necessary instrument for giving effect to social rights. Analysis of this constituent element of social security systems permits as assessment of some of the technical difficulties presented by the ever‐increasing movement of people and data. Overcoming these technical difficulties should permit to envisage a first technical step towards realizing a universal and global social security system.     

Peer paradox: the tensions that peer relationships raise for vulnerable youth

The contribution peer relationships make to positive adolescent development is well recognized. Accordingly, peer problem measures typically assess youth with few age‐appropriate peers as having peer problems. Yet, youth facing high levels of personal and/or social adversity may reduce their association with antisocial peers as part of coping or risk mitigation strategies. While such strategies will result in higher scores on peer problem measures, they may also facilitate resilience and constitute a resource social workers can draw on in their work with youth. To test this proposition of peer adaptation as a risk mitigation strategy, mixed‐methods data relating to two groups of youth who were exposed to different levels of adversity were compared on a standardized peer problem measure and a range of risk measures. Qualitative interviews extended this data and explored vulnerable youth perceptions of social withdrawal as a coping strategy. Results from the survey and qualitative data indicated that a subgroup of youth facing high levels of adversity restricted association with antisocial peers to reduce their behavioural risks. However, without adequate support from adults in both formal support systems and youths' social ecologies to compensate for the loss of peer friendships, this strategy did not reduce behavioural risk in the medium term. The social withdrawal strategy also appeared to heighten mental health concerns for these youth. The implications of this finding for the development of policy and practice with vulnerable youth are discussed.     

The Peasant World in the Discourse of Generational Sorrow

This article spells out the methodological considerations and various procedural and methodological subtleties developed over the author's quarter century of sociological field studies of Russia's peasant worlds. Particular attention is paid to “voices from below”—peasant discursive formats that capture, in natural and undiluted form, the evolution of peasant practices constituting the core of everyday life. In particular, the phenomenon of generational sorrow and a special chronological nostalgia that functions as a “social gyroscope” is identified and discursively captured. This phenomenon is noteworthy and useful for its ability to retain a record of the productively longed for past in a rural community's collective memory and thereby influence new peasant worlds taking shape today.     

A direct procedure for monitoring the coefficient of variation using a variable sample size scheme

A variable sample size (VSS) scheme directly monitoring the coefficient of variation (CV), instead of monitoring the transformed statistics, is proposed. Optimal chart parameters are computed based on two criteria: (i) minimizing the out-of-control ARL (ARL₁) and (ii) minimizing the out-of-control ASS (ASS₁). Then the performances are compared between these two criteria. The advantages of the proposed chart over the VSS chart based on the transformed statistics in the existing literature are: the former (i) provides an easier alternative as no transformation is involved and (ii) requires less number of observations to detect a shift when ASS₁ is minimized.     

Monitoring the coefficient of variation using a variable sample size and sampling interval control chart

This article proposes a CV chart by using the variable sample size and sampling interval (VSSI) feature to improve the performance of the basic CV chart, for detecting small and moderate shifts in the CV. The proposed VSSI CV chart is designed by allowing the sample size and the sampling interval to vary. The VSSI CV chart's statistical performance is measured by using the average time to signal (ATS) and expected average time to signal (EATS) criteria and is compared with that of existing CV charts. The Markov chain approach is employed in the design of the chart.     

社会网络、 先前经验与创业风险识别

无法识别创业风险是导致创业失败的主要原因之一,如何有效识别并管理创业风险是新创企业健康成长的关键.社会网络能够弥补创业者在识别风险过程中的信息劣势,但既有研究极少探索社会网络是否以及如何影响创业风险识别.为弥补这个研究空白,文章利用信息处理理论为研究框架,构建了创业风险识别模型.具体而言,结构洞和网络强度有利于创业者获取更多、高质量与风险相关的信息,进而识别更多的创业风险;获取信息的数量在网络强度与创业风险识别关系之间发挥完全中介作用;创业者的先前经验正向影响创业风险识别,并对结构洞与获取信息的数量之间关系起调节作用.文章讨论了研究结果的理论贡献与实践启发.     

数控加工与编程数字化教学资源建设

为培养高职数控技术专业学生的数控加工与编程能力,通过调研典型制造型企业,以其岗位能力需求为基础,以企业的实践过程为任务流程,规划了数控加工与编程课程的教学体系,并构建了基于网络化教学平台的数字化教学资源库。     

How Mood and Task Complexity Affect Children's Recognition of Others' Emotions

Previous studies examined how mood affects children's accuracy in matching emotional expressions and labels (label‐based tasks). This study was the first to assess how induced mood (positive, neutral, or negative) influenced five‐ to eight‐year‐olds' accuracy and reaction time using both context‐based tasks, which required inferring a character's emotion from a vignette, and label‐based tasks. Both tasks required choosing one of four facial expressions to respond. Children responded more accurately to label‐based questions relative to context‐based questions at the age of five to seven, but showed no differences at the age of eight, and when the emotional expression being identified was happiness, sadness, or surprise, but not disgust. For the context‐based questions, children were more accurate at inferring sad and disgusted emotions compared with happy and surprised emotions. Induced positive mood facilitated five‐year‐olds' processing (decreased reaction time) in both tasks compared with induced negative and neutral moods. Results demonstrate how task type and children's mood influence children's emotion processing at different ages.