Educational needs of inpatients with severe & persistent mental illness: a partial replication

Although a great deal has been written about the importance of patient education, few replications of past research have been conducted to increase clinicians' confidence in the conclusions of previous studies. This is especially true of studies conducted in clinical settings where findings may or may not be generalizable to other institutions. This partial replication study tested whether previous findings about patient education in an outpatient setting were applicable to an inpatient setting using a modified version of the instrument. A 1998 study published in this journal suggested that differences may exist between the perceived health education needs of outpatients and their health care providers. In this partial replication, we examined the differences between the educational needs of inpatients and those perceived by their attending nurses. As in the original study, we found discrepancies between patients' actual needs and nurses' perceptions of those needs, supporting the importance of assessing patients' health educational needs in the treatment planning process.     

Knowledge Life Cycle,Knowledge Inventory,and Knowledge Acquisition Strategies*

For a knowledge‐ and skill‐centric organization, the process of knowledge management encompasses three important and closely related elements: (i) task assignments, (ii) knowledge acquisition through training, and (iii) maintaining a proper level of knowledge inventory among the existing workforce. Trade‐off on choices between profit maximization in the short run and agility and flexibility in the long term is a vexing problem in knowledge management. In this study, we examine the effects of different training strategies on short‐term operational efficiency and long‐term workforce flexibility. We address our research objective by developing a computational model for task and training assignment in a dynamic knowledge environment consisting of multiple distinct knowledge dimensions. Overall, we find that organizational slack is an important variable in determining the effectiveness of training strategies. Training strategies focused on the most recent skills are found to be the preferred option in most of the considered scenarios. Interestingly, increased efficiencies in training can actually create preference conflict between employees and the firm. Our findings indicate that firms facing longer knowledge life cycles, higher slack in workforce capacity, and better training efficiencies actually face more difficult challenges in knowledge management.     

论涉外侵权行为的法律适用

自20世纪以来,随着各国间交往的日益密切以及科技的快速发展,涉外侵权案件数量增长迅速,完善的涉外侵权法律适用规则对于公平合理地解决涉外侵权案件至关重要。通过研究涉外侵权行为的法律适用的基本理论问题,本文分别对传统涉外侵权的法律适用、侵权行为法律适用的新发展和特殊侵权行为的法律适用三个方面进行了阐述。最后,本文针对我国不久前颁布实施的《中华人民共和国涉外民事关系法律适用法》中涉外侵权的规定,对其中的几点不足之处提出了建议。     

汽车信息交换平台与行业集成供应链管理模式

本文简要介绍了基于中国汽车信息交换平台的汽车行业集成供应链管理模型,对其结构模型进行了分析,指出该管理模型对中国汽车工业发展将发挥重要作用.     

Non-ergodic martingale estimating functions and related asymptotics

Well-known estimation methods such as conditional least squares, quasilikelihood and maximum likelihood (ML) can be unified via a single framework of martingale estimating functions (MEFs). Asymptotic distributions of estimates for ergodic processes use constant norm (e.g. square root of the sample size) for asymptotic normality. For certain non-ergodic-type applications, however, such as explosive autoregression and super-critical branching processes, one needs a random norm in order to get normal limit distributions. In this paper, we are concerned with non-ergodic processes and investigate limit distributions for a broad class of MEFs. Asymptotic optimality (within a certain class of non-ergodic MEFs) of the ML estimate is deduced via establishing a convolution theorem using a random norm. Applications to non-ergodic autoregressive processes, generalized autoregressive conditional heteroscedastic-type processes, and super-critical branching processes are discussed. Asymptotic optimality in terms of the maximum random limiting power regarding large sample tests is briefly discussed.     

Bayes sequential estimation for a Poisson process under a LINEX loss function

In this paper, within the framework of a Bayesian model, we consider the problem of sequentially estimating the intensity parameter of a homogeneous Poisson process with a linear exponential (LINEX) loss function and a fixed cost per unit time. An asymptotically pointwise optimal (APO) rule is proposed. It is shown to be asymptotically optimal for the arbitrary priors and asymptotically non-deficient for the conjugate priors in a similar sense of Bickel and Yahav [Asymptotically pointwise optimal procedures in sequential analysis, in Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, University of California Press, Berkeley, CA, 1967, pp. 401–413; Asymptotically optimal Bayes and minimax procedures in sequential estimation, Ann. Math. Statist. 39 (1968), pp. 442–456] and Woodroofe [A.P.O. rules are asymptotically non-deficient for estimation with squared error loss, Z. Wahrsch. verw. Gebiete 58 (1981), pp. 331–341], respectively. The proposed APO rule is illustrated using a real data set.     

Statistical Certification of Software Systems

Common software release procedures based on statistical techniques try to optimize the trade-off between further testing costs and costs due to remaining errors. We propose new software release procedures where the aim is to certify with a certain confidence level that the software does not contain errors. The underlying model is a discrete time model similar to the geometric Moranda model. The decisions are based on a mix of classical and Bayesian approaches to sequential testing and do not require any assumption on the initial number of errors.     

新环保法视角下环保NGO公益诉讼分析

2014年新修订的环保法赋予了环保NGO公益诉讼的主体资格,可以说是环境公益诉讼史上的一座里程碑。本文通过对近年来环保NGO参与环境公益诉讼面临问题及原因的分析,提出:由于新环保法相关条款的限制性规定、公益诉讼原告诉求保障不足、我国环保NGO自身能力较弱等原因,环保NGO在新环保法颁布后参与环境公益诉讼仍可能面临一定的阻力。应该完善新环保法相关公益诉讼条款、出台激励环保NGO参与环境公益诉讼的具体措施、加强环保NGO的能力建设,以促进新环保法的有效施行。     

领导权力分享对个体创意倡导的双刃剑效应研究

 创新对当代组织的生存和发展至关重要，它一般包括创意生成和创意推行两个阶段。已有研究更集中于探讨如何促进创意的产生，对创意推行的研究却相对匮乏。创意倡导是对新颖想法的积极推广，被认为是创新推行的关键。促进个体的创意倡导是推行创新的有效举措，然而理论和实践较少关注如何促进个体的创意倡导。        基于工作要求-资源模型，探讨领导权力分享对个体创意倡导的影响，提出领导权力分享对个体创意倡导同时存在增益效应和损耗效应，在二者之间构建非线性的理论模型，进一步考察个体创新效能感在其中的调节作用。收集一家IT教育科技企业的62个团队共291名个体的问卷数据，使用HLM 7.0进行跨层次的层级回归方法检验领导权力分享对个体创意倡导的影响以及个体创新效能感的调节作用。        研究结果表明，领导权力分享与个体创新倡导之间存在倒U形关系，即当领导权力分享处于适中水平时，个体有最多的创意倡导行为。个体创新效能感在领导权力分享与个体创新倡导的关系中起调节作用，即当个体创新效能感较低时，领导权力分享与个体创意倡导之间呈倒U形关系；而当个体创新效能感较高时，领导权力分享与个体创意倡导之间呈正向的线性关系。        从领导权力分享角度探讨创意倡导的前置因素，是对创新研究的一个有益补充。基于工作要求-资源模型分析领导权力分享的双刃剑效应，拓展了对领导力影响的认识。从实践意义上，研究结果启示管理者在促进个体创意倡导时，要警惕过度领导权力分享的消极作用，并且提高个体的创新效能感。