论传统文化中"时"的理念

"时"是中国文化核心理念群落中的一个重要的概念,但这一点却没有得到足够的重视。实际上,它在政治、军事、经济、知识、生命、生活等与我们性命攸关的领域得到了广泛的关注。从知时开始,然后因时,与时,最后抵达与时合一的时宜之境,就形成了时的一个完整的结构。但在对时的理解中,必须把它和非时间性放在一起思考,以达到一种时和无时的"之间"状态,这才是对时的完成。与时俱进亦是如此。     

关于巨额财产来源不明罪中与司法实践相关的两个问题

巨额财产来源不明罪作为我国刑法分则中一个较为特殊的罪名,无论是在刑法理论方面,还是在司法实践中,均存在诸多具有争议性的问题。本文主要探讨巨额财产来源不明罪中与司法实践相关的两个问题:即本罪中“责令说明”的有权机关的范围;本罪中“说明时间”应否予以限制这两个问题。     

内在与超越——孔子中庸思想阐微

孔子思想中存在诸多二律背反式的冲突模式,比较突出的如天人冲突、礼仪冲突、德刑冲突、仕隐冲突。这些冲突关系中实含有相互依存、彼此互动的内涵。孔子通过“命”来调谐天与人的冲突,通过“诚”来达致礼与仪的统一,通过“仁”来实现德与刑的互补,通过“时”来决定仕与隐的抉择。孔子解决其思想中内心冲突的原则归根到底是他的中庸思想,“命”、“诚”、“仁”、“时”都只是中庸原则应用于不同类型的冲突模式所选取的具体超越路径。     

交易延迟与机构投资者交易策略研究

对于机构投资者而言,出清具有一定规模的证券时,其提交指令的行为将对证券价格造成冲击形成交易成本,之后指令执行延迟也造成交易成本。文章以既定风险厌恶的机构投资者为研究对象,探讨其在交易延迟下的最优指令提交策略。经研究表明:交易延迟下最优指令提交策略受风险态度、证券收益、证券价格的波动性、市场的流动性与深度以及瞬时冲击程度等参数影响,不同市场的情况要求机构投资者调整策略,改变指令提交过程。     

物资调运时间为区间数的最短路问题研究

针对紧急状态下物资调配时间为区间数问题,在经典的Dijkstra算法基础上,通过定义一个算子,把区间数序关系转换成实数序关系,对区间数进行排序,给出了区间数的最短路算法。     

An Individual Mixed‐Evaluation Method for Career Intervention

Economic issues linked to career counseling are a cause for concern to policy makers in developed countries because they expect career practitioners to provide evidence of the efficiency of career counseling interventions. The aim of this study was to test an individual evaluation method mixing time series (outcomes) and life narrative (processes). The method used 5 items related to 1 client's career decision self‐efficacy and studied the evolution of those items throughout the intervention of 1 career counselor (43 days). Changepoint analysis helped in identifying the changes that have to be taken into account for time series and which are contextualized in the client's verbatim analysis. This mixed method highlighted that the career counselor's intervention increased the client's career decision self‐efficacy. Practitioners could use the methodology proposed in this article to evaluate their interventions. They could also report their practice to clients, employers, and decision makers.     

Information geodesics for gamma models of communication clustering

Recently, Akyildiz called for further work on non-Poisson models for communication arrivals in distributed networks such as cellular phone systems. The basic ‘random’ model for stochastic events is the Poisson process; for events on a line this resuits in an exponential disiribuuon of intervals between events. Network designers and managers need too monotor and quantify call clustering in order to optimize resaurce usage; the natural reference state from which to measure departures is that arising from a Poisson, process of calls. Here we consider gamma distributions, which contain exponential distributions as a special case. The surface representing gamma models has a natural Riemannian information metric and we obtain some geodesic sprays for this metric. The exponential distributions form a 1-dimensional subspace of the 2-dimensional space of all gamma distributions, so we have an isometric embedding of the random model as a subspace of the gamma models. This geometry may provide an appropriate structure on which to represent clustering as quantifiable departures from randomness and on which to impose dynamic control algorithms to optimize traffic at receiving nodes in distributed communication networks. In practice, we may expect correlation between call arrival times and call duration, reflecting for example peaks of different users of internet services. This would give rise to a twisted product of two surfaces with the twisting controlled by the correlation. Though bivariate gamma models do exist, such as Kibble's, none has tractabie information geometry nor sufficiently general marginal gammas,but a simulation method of approach is suggested.     

Grandparental childcare in Australia: gender differences in the correlates of providing regular grandparental care while parents work

Grandparents’ regular care for children while parents work has been mostly studied from the parental perspective. This paper focuses on the grandparents. Using the Australian Bureau of Statistics Time Use Survey 2006 (N = 7672) we investigate regular-caring grandparents’ demographic characteristics, which childcare activities they undertake, and how regular childcare provision relates to their time in other activities, subjective time pressure and satisfaction. Results indicate the correlates and nature of regular care differ by gender. Regular and non-regular-caring grandmothers’ relative time allocation to different childcare tasks barely differs, while regular-caring grandfathers’ care includes a much higher proportion of active care and travel than non-regular-caring grandfathers’. Regular care provision is associated with less leisure than non-regular-caring counterparts for both genders, but with only grandmothers’ housework, personal care and sleep time. Providing regular care doubles the likelihood of grandmothers reporting high subjective time pressure compared to non-regular-caring grandmothers; there is no association between regular care and time pressure for grandfathers. We conclude that in taking on regular care, grandparents echo the gender patterns found among parents, namely that it is women who are disproportionately impacted by meeting family care needs.     

Robustness to non-normality and autocorrelation of individuals control charts

This paper studies the effects of non-normality and autocorrelation on the performances of various individuals control charts for monitoring the process mean and/or variance. The traditional Shewhart X chart and moving range (MR) chart are investigated as well as several types of exponentially weighted moving average (EWMA) charts and combinations of control charts involving these EWMA charts. It is shown that the combination of the X and MR charts will not detect small and moderate parameter shifts as fast as combinations involving the EWMA charts, and that the performana of the X and MR charts is very sensitive to the normality assumption. It is also shown that certain combinations of EWMA charts can be designed to be robust to non-normality and very effective at detecting small and moderate shifts in the process mean and/or variance. Although autocorrelation can have a significant effect on the in-control performances of these combinations of EWMA charts, their relative out-of-control performances under independence are generally maintained for low to moderate levels of autocorrelation.