性感——唐代服装的审美特点

文章主要从唐代开放的时代背景,以及唐代服装的形制、面料的色彩、服装的质料等角度阐述唐代服装性感的审美因素.     

爱的憧憬与“好色”情调——由川端康成孤儿的情感说起

少女光洁的肌肤、纯洁的心灵和母性的温情是孤儿川端的“救世主”,在感官与纯洁、母性与少女之间川端作品中出现了美女与佛的结合,进而形成了其文学中感官因圣洁而得到净化的“好色”情调。因此,从内在的形成原因来看,川端文学的“好色”情调是其诗化了的孤儿的缺失体验。     

浅析黎巴嫩内乱的历史根源

教派隔阂和教派政治、列强的争夺和外部势力的插手、殖民者的"分而治之"政策、阿以冲突和巴勒斯坦问题是黎巴嫩内乱的四大历史根源.它们是在漫长的历史中逐步形成并发挥作用的,且呈现出积重难返的态势.要彻底结束黎巴嫩的内乱局面,只有逐步实现四个目标:教派利益服从民族国家利益;排除外部势力的恶性干扰;建立平等友好的黎叙关系;实现黎以关系正常化并最终公正地解决巴勒斯坦问题.     

论我国现行宪法的功能定位

按照宪政的要求,宪法应具有对人权的保障功能、对国家权力的控制功能、对民主政治的促进功能、对法治的推进功能、对经济发展的导向功能。我国1982年《宪法》虽是新中国成立以来最好的一部宪法,但它在功能定位上存在一些不合理之处。经过4次修正,其功能定位朝着合理性方向发展,有些功能的定位得到了改进,但有些功能的定位还需进一步完善。     

阿盟发展缺失及其对上合组织的启示

阿拉伯国家联盟是当今世界成立最早的几个地区性国际组织之一。在其六十多年的发展历程中,从维护阿拉伯国家整体利益来看,其成绩并不理想。本文对阿盟的发展缺失的表现及其原因进行了分析,并探索了其对上海合作组织完善和发展过程中的启示。     

Automobile prices and protection: The U.S.-Japan trade restraint

We examine the effects of the U.S.-Japan trade restraint on automobile prices and quality upgrading, for both Japanese imports and American small cars. From April 1981 to April 1984 the suggested retail price of all Japanese models increased by 15.8 percent, or 5.3 percent per year. We find that nearly the entire amount of this rise can be explained by the upgrading of individual models. This upgrading may benefit consumers who would purchase a luxury import in any case, but harms those who desire the basic imports. In addition to upgrading, we conclude that a second cost of the trade restraint has been to prevent the yen depreciation from being passed onto American consumers, in terms of lower imported auto prices. For U.S. small cars we find a 9.1 percent rise in the suggested retail price, or 3 percent per year, with a fraction of this amount due to model upgrading. If the yen depreciation had led to lower import prices without the trade restraint, then we expect that U.S. auto prices would have been lower, too.     

神性、人性和理性--略论艺术形态与时代精神

艺术的本质在于其精神性,从艺术和时代精神的相互关系中去确立划分艺术形态的标准是符合艺术本质的.按照艺术所包含的精神内容的不同,艺术形态可分为神性艺术、人性艺术和理性艺术,以丰富的艺术史例可以说明其特征.     

Goodness of fit for the inverse Gaussian distribution

For testing the fit of the inverse Gaussian distribution with unknown parameters, the empirical distribution-function statistic A² is studied. Two procedures are followed in constructing the test statistic; they yield the same asymptotic distribution. In the first procedure the parameters in the distribution function are directly estimated, and in the second the distribution function is estimated by its Rao-Blackwell distribution estimator. A table is given for the asymptotic critical points of A². These are shown to depend only on the ratio of the unknown parameters. An analysis is provided of the effect of estimating the ratio to enter the table for A². This analysis enables the proposal of the complete operating procedure, which is sustained by a Monte Carlo study.     

A Bayesian method for classification and discrimination

We discuss Bayesian analyses of traditional normal-mixture models for classification and discrimination. The development involves application of an iterative resampling approach to Monte Carlo inference, commonly called Gibbs sampling, and demonstrates routine application. We stress the benefits of exact analyses over traditional classification and discrimination techniques, including the ease with which such analyses may be performed in a quite general setting, with possibly several normal-mixture components having different covariance matrices, the computation of exact posterior classification probabilities for observed data and for future cases to be classified, and posterior distributions for these probabilities that allow for assessment of second-level uncertainties in classification.     

Deconvolution with supersmooth distributions

Nonparametric deconvolution problems require one to recover an unknown density when the data are contaminated with errors. Optimal global rates of convergence are found under the weighted L_p-loss (1 ≤ p ≤ ∞). It appears that the optimal rates of convergence are extremely low for supersmooth error distributions. To resolve this difficulty, we examine how high the noise level can be for deconvolution to be feasible, and for the deconvolution estimate to be as good as the ordinary density estimate. It is shown that if the noise level is not too high, nonparametric Gaussian deconvolution can still be practical. Several simulation studies are also presented.