中古道教仙传中的"食桃修仙"母题研究

中古道教仙传中,"食桃修仙"母题的产生有其相应的时代背景和文化背景。在探究该母题产生的基础上,从内外两方面分析了"桃"被仙化的多重原因。就外因而言,桃被仙化与神仙信仰的广泛流传有关。就内因而言,桃被仙化与桃特殊丰富的文化内涵紧密相连。进而以"食王母桃"这一母题为中心梳理"食桃修仙"母题的流变。该母题的流变与桃被赋予的神效和异形密切相关,由此导致"食桃修仙"母题呈现出神异浪漫的美学风格。     

Beyond Piketty: A new perspective on poverty and inequality in India

The socio-economic literature has focused much on how overall inequality in income distribution (frequently measured by the Gini coefficient) undermines the “trickle down” effect. In other words, the higher the inequality in the income distribution, the lower is the growth elasticity of poverty. However, with the publication of Piketty’s magnum opus (2014), and a subsequent study by Chancel and Piketty (2017) of evolution of income inequality in India since 1922, the focus has shifted to the income disparity between the richest 1% (or 0.01%) and the bottom 50%. Their central argument is that the rapid growth of income at the top end of millionaires and billionaires is a by-product of growth. The present study extends this argument by linking it to poverty indices in India. Based on the India Human Development Survey 2005–12 – a nationwide panel survey-we examine the links between poverty and income inequality, especially in the upper tail relative to the bottom 50%, state affluence (measured in per capita income) and their interaction or their joint effect. Another feature of our research is that we analyse their effects on the FGT class of poverty indices. The results are similar in as much as direction of association is concerned but the elasticities vary with the poverty index. The growth elasticities are negative and significant for all poverty indices. In all three cases, the disparity between the income share of the top 1% and share of the bottom 50% is associated with greater poverty. These elasticities are much higher than the (absolute) income elasticities except in the case of the poverty gap. The largest increase occurs in the poverty gap squared – a 1% greater income disparity is associated with a 1.24% higher value of this index. Thus the consequences of even a small increase in the income disparity are alarming for the poorest.     

Midwives’ views of caseload midwifery – comparing the caseload and non-caseload midwives’ opinions. A cross-sectional survey of Australian midwives.

BackgroundMidwife-led continuity of care has substantial benefits for women and infants and positive outcomes for midwives, yet access to these models remains limited. Caseload midwifery is associated with professional satisfaction and lower burnout, but also impacts on work-life boundaries. Few studies have explored caseload midwifery from the perspective of midwives working in caseload models compared to those in standard care models, understanding this is critical to sustainability and upscaling.AimTo compare views of caseload midwifery – those working in caseload models and those in standard care models in hospitals with and without caseload.MethodsA national cross-sectional survey of midwives working in Australian public hospitals providing birthing services.FindingsResponses were received from 542/3850 (14%) midwives from 111 hospitals – 20% worked in caseload, 39% worked in hospitals with caseload but did not work in the model, and 41% worked in hospitals without caseload. Regardless of exposure, midwives expressed support for caseload models, and for increased access to all women regardless of risk. Fifty percent of midwives not working in caseload expressed willingness to work in the model in the future. Flexibility, autonomy and building relationships were positive influencing factors, with on-call work the most common reason midwives did not want to work in caseload.ConclusionsThere was widespread support for and willingness to work in caseload. The findings suggest that the workforce could support increasing access to caseload models at existing and new caseload sites. Exposure to the model provides insight into understanding how the model works, which can positively or negatively influence midwives’ views.     

Women’s reports of satisfaction and respect with continuity of care experiences by students: Findings from a routine,online survey

BackgroundPre-registration midwifery students in Australia undertake a minimum of ten continuity of care experiences with childbearing women. However, women are rarely asked to formally evaluate this care by students.AimTo evaluate data from a routine, web-based survey of women about having a midwifery student provide a continuity of care experience.MethodsAll women (n = 886) recruited by a midwifery student for a continuity of care experience during a 12 month period received an email inviting them to complete an online survey. The survey included personal details, experiences of care, and two scales on Respect and Satisfaction.ResultsA response rate of 57% (n = 501) was achieved. On average students attended six antenatal visits (mean = 5.83) and had six postnatal contacts with women. Most students attended labour and birth (92.6% n = 464). Most women rated overall satisfaction with care by their student as ‘better than they had hoped’. Positive correlations were found between number of antenatal visits and postnatal contact with students on both levels of satisfaction and respect felt by women. Women felt more satisfied when their midwifery student attended labour and birth.ConclusionsThe online survey was feasible and provided valid and reliable feedback from women about their student during a continuity of care experience. Women valued having an ongoing relationship with a student during pregnancy, labour and birth, and postpartum. Pre-registration midwifery education programs should continue to privilege relationship-based care and national standards should support the effective integration of continuity of care experiences.     

On hysteretic vector autoregressive model with applications

This paper proposes a new hysteretic vector autoregressive (HVAR) model in which the regime switching may be delayed when the hysteresis variable lies in a hysteresis zone. We integrate an adapted multivariate Student-t distribution from amending the scale mixtures of normal distributions. This HVAR model allows for a higher degree of flexibility in the degrees of freedom for each time series. We use the proposed model to test for a causal relationship between any two target time series. Using posterior odds ratios, we overcome the limitations of the classical approach to multiple testing. Both simulated and real examples herein help illustrate the suggested methods. We apply the proposed HVAR model to investigate the causal relationship between the quarterly growth rates of gross domestic product of United Kingdom and United States. Moreover, we check the pairwise lagged dependence of daily PM2.5 levels in three districts of Taipei.     

Accurate computation of single and product moments of order statistics under progressive censoring

An accurate procedure is proposed to calculate approximate moments of progressive order statistics in the context of statistical inference for lifetime models. The study analyses the performance of power series expansion to approximate the moments for location and scale distributions with high precision and smaller deviations with respect to the exact values. A comparative analysis between exact and approximate methods is shown using some tables and figures. The different approximations are applied in two situations. First, we consider the problem of computing the large sample variance–covariance matrix of maximum likelihood estimators. We also use the approximations to obtain progressively censored sampling plans for log-normal distributed data. These problems illustrate that the presented procedure is highly useful to compute the moments with precision for numerous censoring patterns and, in many cases, is the only valid method because the exact calculation may not be applicable.     

Checking validity of monotone domain mean estimators

Estimates of population characteristics such as domain means are often expected to follow monotonicity assumptions. Recently, a method to adaptively pool neighbouring domains was proposed, which ensures that the resulting domain mean estimates follow monotone constraints. The method leads to asymptotically valid estimation and inference, and can lead to substantial improvements in efficiency, in comparison with unconstrained domain estimators. However, assuming incorrect shape constraints may lead to biased estimators. Here, we develop the Cone Information Criterion for Survey Data as a diagnostic method to measure monotonicity departures on population domain means. We show that the criterion leads to a consistent methodology that makes an asymptotically correct decision choosing between unconstrained and constrained domain mean estimators. The Canadian Journal of Statistics 47: 315–331; 2019 © 2019 Statistical Society of Canada     

Challenges of operationalizing trauma‐informed practice in child protection services in New Zealand

New Zealand is undergoing major change in service delivery to children and families. A new Ministry for Children Oranga Tamariki has been established to oversee 5 work streams, one of which provides intensive intervention with families requiring a statutory response to child protection concerns. The government minister responsible promised that the service would be child‐centred and trauma‐informed. To date, these terms remain undefined, and there is no shared understanding of their meaning. Practice frameworks to support the work of the new ministry are still being developed, creating something of a vacuum in the meantime. The focus of this paper is the challenge of implementing trauma‐informed practice in the child protection service provided by the Intensive Intervention work stream. Limited research or commentary on trauma‐informed practice in this context currently exists. Drawing on the relevant available literature, the concept and its application in child protection social work is explored. An ecological framework is used to discuss the changes needed to achieve this. Particular attention is paid to the impact of historical trauma for indigenous people due to New Zealand's colonial history and their over‐representation in care and protection services.     

New two-stage sampling designs based on neoteric ranked set sampling

Neoteric ranked set sampling (NRSS) is a recently developed sampling plan, derived from the well-known ranked set sampling (RSS) scheme. It has already been proved that NRSS provides more efficient estimators for population mean and variance compared to RSS and other sampling designs based on ranked sets. In this work, we propose and evaluate the performance of some two-stage sampling designs based on NRSS. Five different sampling schemes are proposed. Through an extensive Monte Carlo simulation study, we verified that all proposed sampling designs outperform RSS, NRSS, and the original double RSS design, producing estimators for the population mean with a lower mean square error. Furthermore, as with NRSS, two-stage NRSS estimators present some bias for asymmetric distributions. We complement the study with a discussion on the relative performance of the proposed estimators. Moreover, an additional simulation based on data of the diameter and height of pine trees is presented.     

面向新时代的国民经济核算研究议题及相关问题

本文结合国际国内研究动态分层次归纳、阐释当前国民经济核算的研究议题。具体包括:以国民账户体系2008版(SNA-2008)为起点的前沿研究,SNA中心框架的灵活运用研究,接驳中国国民经济核算体系(CSNA)及其实务的优化和创新研究,国民经济核算数据的综合应用研究。最后针对中国当前国民经济核算研究方法中存在的一些倾向性问题做讨论,比如是否过分关注与GDP的关联, 如何充分发挥卫星账户的作用等。