示范性数控技术专业建设探索与实践

总结了过去几年来数控技术专业的办学经验和办学成果,找到存在的不足,并对今后的专业建设和教学改革提出了工作设想和未来展望。     

Analysis of Latin American Fertility in Terms of Probable Social Classes

Theories of demographic change have not paid enough attention to how factors associated with fertility decline play different roles across social classes that are defined multidimensionally. I use a multidimensional definition of social class along with information on the reproductive histories of women born between 1920 and 1965 in six Latin American countries to show the following: the enduring connection between social stratification and fertility differentials, the concomitance of diverse fertility decline trajectories by class, and the role of within- and between-class social distances in promoting/preventing ideational change towards the acceptance of lower fertility. These results enable me to revisit the scope of theories of fertility change and to provide an explanatory narrative centred on empirically constructed social classes (probable social classes) and the macro- and micro-level conditions that influenced their life courses. I use 21 census samples collected between 1970 and 2005 in Bolivia, Brazil, Chile, Colombia, Mexico, and Paraguay.     

新资本结构理论综述

随着资本结构研究的深入,理论界进一步放宽MM定理的基本假设。以Jensen,Myers,Ross,Leland,Harris,Hart等学者为代表的新资本结构理论引入最新的研究方法,对资本结构展开分析。本文按照新资本结构理论发展的历史轨迹,全面评述了资本结构理论中最为重要的各种理论,同时系统地描述了各有关理论的基本内容。     

Technology as a Weapon in Domestic Violence: Responding to Digital Coercive Control

ABSTRACT

Technology-facilitated domestic violence is an emerging issue for social workers and other service providers. The concept of Digital Coercive Control (DCC) is introduced to highlight the particular nature and impacts of technology-facilitated abuse in the context of domestic violence. While practitioners have become more adept at working with women experiencing DCC, there is still little known about its dynamics and whether this violence requires a change in current service responses. This article explores findings from survey research conducted with 546 Australian domestic violence practitioners about the ways perpetrators use technology as part of their abuse tactics. The findings demonstrate that DV practitioners believe perpetrator use of technology is extensive and has significant impacts on the safety of clients. A major dilemma faced by practitioners is how to promote and facilitate client safety from DCC while still enabling safe use of technology so clients can remain connected to family, friends, and community.

IMPLICATIONS

• The use of digital technology in domestic violence creates a significant practice issue for Australian domestic violence practitioners.

• The development of a practice framework for responding to digital coercive control may assist practitioners to highlight the risks posed by this abuse, while still enabling women and children the freedom to participate in the digital realm.

     

大股东控制下的股权再融资决策

不对称信息条件下,股权再融资的选择方式和认购量能作为信号向外部投资者表明公司的质量.本文发现:公开增发发行成本较高且大股东持股比例较小时,存在唯一的分离均衡,此时高质量公司定向增发,低质量公司配股;当公开增发成本较高且大股东持股比例较大时,定向增发是唯一的混同均衡;当公开增发成本较低且大股东持股比例较小时,公开增发是唯一的混同均衡.模型预测定向增发的公告效应为正,配股的公告效应为负,而公开增发的公告效应不明确,这与大量实证文献相吻合.     

深圳流动育龄妇女生育子女数的影响因素分析

本文利用“深圳市龙岗区流动人口计划生育管理与服务状况”调查数据,设计了4个模型,分别从不同角度对生育子女数、初婚初育、初婚二孩生育和初婚三孩生育的影响因素进行了多因素分析。研究结果表明,早婚和多育之间有正相关关系,它和生育意愿有一定的关联。生育意愿对生育行为的影响是非线性的,它对三孩生育的影响最强。经济收入水平对生育行为的影响很复杂,收入水平提高产生的短期效果可能是促进生育率增长。     

The United Kingdom and the Netherlands maternity care responses to COVID-19: A comparative study

BackgroundThe national health care response to coronavirus (COVID-19) has varied between countries. The United Kingdom (UK) and the Netherlands (NL) have comparable maternity and neonatal care systems, and experienced similar numbers of COVID-19 infections, but had different organisational responses to the pandemic. Understanding why and how similarities and differences occurred in these two contexts could inform optimal care in normal circumstances, and during future crises.AimTo compare the UK and Dutch COVID-19 maternity and neonatal care responses in three key domains: choice of birthplace, companionship, and families in vulnerable situations.MethodA multi-method study, including documentary analysis of national organisation policy and guidance on COVID-19, and interviews with national and regional stakeholders.FindingsBoth countries had an infection control focus, with less emphasis on the impact of restrictions, especially for families in vulnerable situations. Differences included care providers’ fear of contracting COVID-19; the extent to which community- and personalised care was embedded in the care system before the pandemic; and how far multidisciplinary collaboration and service-user involvement were prioritised.ConclusionWe recommend that countries should 1) make a systematic plan for crisis decision-making before a serious event occurs, and that this must include authentic service-user involvement, multidisciplinary collaboration, and protection of staff wellbeing 2) integrate women’s and families’ values into the maternity and neonatal care system, ensuring equitable inclusion of the most vulnerable and 3) strengthen community provision to ensure system wide resilience to future shocks from pandemics, or other unexpected large-scale events.     

Robust models in probability sampling

In the estimation of a population mean or total from a random sample, certain methods based on linear models are known to be automatically design consistent, regardless of how well the underlying model describes the population. A sufficient condition is identified for this type of robustness to model failure; the condition, which we call 'internal bias calibration', relates to the combination of a model and the method used to fit it. Included among the internally bias-calibrated models, in addition to the aforementioned linear models, are certain canonical link generalized linear models and nonparametric regressions constructed from them by a particular style of local likelihood fitting. Other models can often be made robust by using a suboptimal fitting method. Thus the class of model-based, but design consistent, analyses is enlarged to include more realistic models for certain types of survey variable such as binary indicators and counts. Particular applications discussed are the estimation of the size of a population subdomain, as arises in tax auditing for example, and the estimation of a bootstrap tail probability.     

The run length distributions of the R,s and s2 control charts when is estimated

R, s and s2 charts with estimated control limits are widely used in practice. Common practice in control-chart theory is to estimate the control limits using data from the process and, once the process is determined to be in control, to treat the resulting control limits as though fixed. While there are empirical rules for setting up the control charts using past or trial data, little is known about the run length distributions of these charts when the fact that control limits are estimated is taken into account. In this paper, we derive and evaluate the run length distributions associated with the R, s and s2 charts when the process standard deviation a is estimated. The results are then used to discuss the appropriateness of the widely followed empirical rules for choosing the number m of samples and the sample size n.