关羽兵器考

蜀汉大将关羽,以其忠义勇武成为当世名将,随着时间的发展更是成为后世崇拜的偶像,被尊为"武圣",和"文圣"孔子平起平坐。关羽冲锋陷阵使用的兵器也成为后世学术界积极探索的课题。     

认知语法配价关系探究

从对应关系、侧重决定体、概念自主和依存关系及成分组合关系四个方面,尝试对认知语法配价关系理论的核心思想和实际运作进行初步剖析,从中发现对应关系在认知语法配价关系中具有恒定性;而侧重决定体、概念自主和依存关系及成分组合关系则复杂和多变。应根据构式在句中的地位、语义指向、语用信息及社会知识和经验,辩证地理解构式之间的内在联系及联结动因。     

全面薪酬满意度的分选效应研究

薪酬不仅具有激励效应,而且具有分选效应.基于316份有效样本的数据分析,发现全面薪酬满意度存在三个不同的员工子群体,即较不满意组、基本满意组和较满意组,且不同子群体的全面薪酬满意度对离职倾向的影响不同,从而基于个体差异视角揭示了全面薪酬满意度的分选效应.具体而言:在较不满意组,福利满意度、工作生活平衡满意度和绩效与认可满意度对离职倾向呈显著负向影响;在基本满意组,薪酬满意度、绩效与认可满意度和职业发展机会满意度对离职倾向呈显著负向影响;在较满意组,职业发展机会满意度对离职倾向呈显著负向影响.此外,工作价值观的个体差异可以部分解释全面薪酬满意度对离职倾向的不同影响.因此,在管理实践中,企业应针对不同的员工子群体定制差别化的全面薪酬体系,从而有助于企业形成稳定高效的员工队伍.     

Approximate multivariate conditional inference using the adjusted profile likelihood

The author proposes saddlepoint approximation methods that are adapted to multivariate conditional inference in canonical exponential familles. Several approaches to approximating conditional discrete distributions involve dividing an approximation to the full joint mass function, summed over tail regions of interest, by an approximate marginal density. The author first approximates this conditional likelihood by the adjusted profile likelihood, and then applies a multivariate saddlepoint approximation. He also presents formulas to aid in performing simultaneously the profiling and maximizing steps.     

关于实现开放式计算机系统的研究

开放式计算机系统（以下简称开放系统）虽然是一个流行的名词，但它却是一个在实际工作中“无法操作”的对象。文中从开放系统的基本特征出发，通过审填的推理，导出了描述开放系统的轮廓，借助于后者使开放系统一词在现实中有了“可操作”的内涵。同时指出了开放系统的实现方法和步骤，以及作为设计者应具有的重要概念。最后，还从日常实际工作的方便出发，提出了一个简明的开放系统的工作定义。     

新“韬光养晦”时代中国外交的挑战与应对策略

邓小平同志在上世纪八十年代末九十年代初,分析当时的国际形势与国内局势,确定了"韬光养晦,有所作为"战略方针,此后三十年间,中央政府在制定外交政策的过程中都严格遵循这一方针。近年来,随着中国综合国力的提升,加之"美国重回亚太战略"、"南海争端"、"中日钓鱼岛争端"等国际矛盾的不断升级,越来越多的人质疑"韬光养晦"的政策是不是应该终结了。文章研究了近两年来中国外交所面临的挑战,并分析在新时期中国政府如何在原有"韬光养晦"的指导方针基础上能够进一步"有所作为",从而应对这些挑战。     

Joint Modeling of Survival and Longitudinal Ordered Data Using a Semiparametric Approach

Medical research frequently focuses on the relationship between quality of life (QoL) and survival time of subjects. QoL may be one of the most important factors that could be used to predict survival, making it worth identifying factors that jointly affect survival and QoL. We propose a semiparametric joint model that consists of item response and survival components, where these two components are linked through latent variables. Several popular ordinal models are considered and compared in the item response component, while the Cox proportional hazards model is used in the survival component. We estimate the baseline hazard function and model parameters simultaneously, through a profile likelihood approach. We illustrate the method using an example from a clinical study.     

Optimal paired comparison designs for first-order interactions

In many fields of applications paired comparisons are used in which either full or partial profiles of the alternatives are presented. For this situation we introduce an appropriate model and derive optimal designs in the presence of interactions when all attributes have the same number of levels.