国家主义·男性特征·女性话语——二十世纪初中国知识女性群体的女权思想研究

二十世纪初中国知识女性群体的女权思想展现出极为复杂的特性。首先,特殊历史背景下为国家富强、民族独立承担女性的责任,成为贯穿整个女权思想的主线;其次,此时的女权思想还表现出强烈的男性特征,一切向男性看齐,成为她们衡量自我的标准;最后,值得欣慰的是,以知识女性为主体而形成的女权思想开始了摆脱“无语”状态的第一次尝试,其关于女性作为“女国民”身份的定位展现了她们构建女性话语的努力。     

加快现代大学制度建设的主体性视角研究

现代大学制度是大学自主存在和发展的自我维系系统,在建设现代大学制度过程中,大学应当成为这个制度建设的重要主体,发挥无可替代的主体性功能。从现实的角度看。现代大学制度建设不仅需要大学主体意识的觉醒,也需要大学主体自主进行制度创新与变革,更需要大学主体对外开放、与社会形成良好的互动关系。     

枕上的诗情--论古代瓷枕诗词

瓷枕上题写或刻划的诗词,题材有人生感怀、情爱相思、借景抒情、劝勉警戒、吉语广告等.瓷枕上的诗词不仅有装饰效果和欣赏价值,有的还具有史料价值和研究价值.诗词瓷枕显示出中华文化的深厚底蕴.     

循环经济发展中政府、企业和公众利益博弈与对策——兼论部分国家循环经济成功经验

循环经济是世界各国在长期的实践中探索出的一种符合可持续发展目标的有效发展模式。其发展需要中央及各级地方政府、企业、消费者的共同努力。然而,不同的利益诉求引起多元化利益冲突和矛盾,地方政府与中央决策间“讨价还价”,企业和企业闻“智猪博弈”,企业和公众间“企业强势、公众靠边站”,政府、企业和社会公众间“多重制约、难以调和”等已成为目前影响循环经济利益实现的严重障碍。强化企业社会责任,树立“中央为主导、地方为主体”的理念,实施产业倾斜政策,维护公众环境权益等。     

A Bayesian semiparametric method for analyzing length-biased data

Survival data obtained from prevalent cohort study designs are often subject to length-biased sampling. Frequentist methods including estimating equation approaches, as well as full likelihood methods, are available for assessing covariate effects on survival from such data. Bayesian methods allow a perspective of probability interpretation for the parameters of interest, and may easily provide the predictive distribution for future observations while incorporating weak prior knowledge on the baseline hazard function. There is lack of Bayesian methods for analyzing length-biased data. In this paper, we propose Bayesian methods for analyzing length-biased data under a proportional hazards model. The prior distribution for the cumulative hazard function is specified semiparametrically using I-Splines. Bayesian conditional and full likelihood approaches are developed for analyzing simulated and real data.     

郭斌龢的文化理念

郭斌龢是“学衡派”的后起之秀,精通中西学术之源,完善的中西合璧式的教育和融合新旧的学识,使得他和《学衡》“昌明国粹,融化新知”的文化精神一拍即合,并成为“学衡派”的主要力量。随后他又把自己的思想理念体现到大学教育之中。     

Cha n nel assig nme n t problem a nd n-fold t-separa ted $$L(j_1,j_2,\ldo ts,j_m)$$-labeli ng of graphs

This paper considers the channel assignment problem in mobile communications systems. Suppose there are many base stations in an area, each of which demands a number of channels to transmit signals. The channels assigned to the same base station must be separated in some extension, and two channels assigned to two different stations that are within a distance must be separated in some other extension according to the distance between the two stations. The aim is to assign channels to stations so that the interference is controlled within an acceptable level and the spectrum of channels used is minimized. This channel assignment problem can be modeled as the multiple t-separated \(L(j_1,j_2,\ldots ,j_m)\)-labeling of the interference graph. In this paper, we consider the case when all base stations demand the same number of channels. This case is referred as n-fold t-separated \(L(j_1,j_2,\ldots ,j_m)\)-labeling of a graph. This paper first investigates the basic properties of n-fold t-separated \(L(j_1,j_2,\ldots ,j_m)\)-labelings of graphs. And then it focuses on the special case when \(m=1\). The optimal n-fold t-separated L(j)-labelings of all complete graphs and almost all cycles are constructed. As a consequence, the optimal n-fold t-separated \(L(j_1,j_2,\ldots ,j_m)\)-labelings of the triangular lattice and the square lattice are obtained for the case \(j_1=j_2=\cdots =j_m\). This provides an optimal solution to the corresponding channel assignment problems with interference graphs being the triangular lattice and the square lattice, in which each base station demands a set of n channels that are t-separated and channels from two different stations at distance at most m must be \(j_1\)-separated. We also study a variation of n-fold t-separated \(L(j_1,j_2,\ldots ,j_m)\)-labeling, namely, n-fold t-separated consecutive \(L(j_1,j_2,\ldots ,j_m)\)-labeling. And present the optimal n-fold t-separated consecutive L(j)-labelings of all complete graphs and cycles.     

On complete and complete moment convergence for weighted sums of ANA random variables and applications

In this article, the complete convergence and complete moment convergence for weighted sums of asymptotically negatively associated (ANA, for short) random variables are studied. Several sufficient conditions of the complete convergence and complete moment convergence for weighted sums of ANA random variables are presented. As an application, the complete consistency for the weighted estimator in a nonparametric regression model based on ANA random errors is established by using the complete convergence that we established. We also give a simulation to verify the validity of the theoretical result.     

Variance ratio screening for ultrahigh dimensional discriminant analysis

This article is concerned with feature screening for the ultrahigh dimensional discriminant analysis. A variance ratio screening method is proposed and the sure screening property of this screening procedure is proved. The proposed method has some additional desirable features. First, it is model-free which does not require specific discriminant model and can be directly applied to the multi-categories situation. Second, it can effectively screen main effects and interaction effects simultaneously. Third, it is relatively inexpensive in computational cost because of the simple structure. The finite sample properties are performed through the Monte Carlo simulation studies and two real-data analyses.