唐代绮罗人物画技法研究

唐代绮罗人物画是中国人物画发展过程中一个极其重要的流派 ,承上启下 ,影响深远。本文着重从构图、题材、造型及服饰、用线用色、绘画工具及材料等方面对其技法特点作一些较深入研究 ,并揭示其发展流变中从张萱时代到周时代的变异     

Narrating Childhood in Elena Chizhova’s Vremya zhenshchin

ABSTRACT

This article discusses the representation of the Soviet past through the figure of a child in Elena Chizhova’s novel Vremja ?en??in [Vremya zhenshchin] (2009). The concept of the vulnerable subject is applied to conceptualize the narrative’s ‘access’ to the past. Vremja ?en??in [Vremya zhenshchin] tells the story of a mute girl raised by her mother and three ‘grandmothers’ in 1960s Leningrad. The women decide to keep her muteness as a secret in order to protect her from being sent to a state institution for disabled children, and to raise her at home. The child figure is situated on the verge of two value systems: the collective, secular, and modern value system, represented by the outside world of home; and the private, spiritual, and traditional value system represented by the community of three old women. The position of the vulnerable child figure on the margins of society enables the representation of a ‘lost’ past and its alternative values. The article suggests that the vulnerable child figure can be seen to stand for a feeling of loss and abandonment in more general terms in contemporary Russia, and as representing a search for a lost inheritance.     

The Kalman Filter from the Perspective of Goldberger—Theil Estimators

This article is designed to point out the close connection between recursive estimation procedures, such as Kalman filter theory, familiar to control engineers, and linear least squares estimators and estimators that include prior information in the form of linear restrictions, such as mixed estimators and ridge estimators, familiar to statisticians. The only difference between the two points of view seems to be a difference in terminology. To demonstrate this point, it is shown how the Kalman filter equations can be derived from an existing textbook account of linear least squares theory and the notion of combining prior information in linear models, that is, the Goldberger—Theil mixed estimators' point of view. The author advocates the inclusion of these ideas early when least squares estimation concepts are being taught.     

A generalization for two-sided power distributions and adjusted method of moments

A new rich class of generalized two-sided power (TSP) distributions, where their density functions are expressed in terms of the Gauss hypergeometric functions, is introduced and studied. In this class, the symmetric distributions are supported by finite intervals and have normal shape densities. Our study on TSP distributions also leads us to a new class of discrete distributions on {0, 1, …, k}. In addition, a new numerical method for parameter estimation using moments is given.     

沈石溪动物小说的艺术特征

沈石溪依据自己的知识积累和亲身经历,合理大胆地运用想象、联想进行创作,其作品融科学性、知识性、趣味性为一体;加之独特的叙述视角、圆形动物形象的塑造等艺术手法的运用,因而其作品充满了艺术的感染力。     

张江舟水墨人物画的艺术特征与启迪

在当今中国画坛,张江舟的水墨人物画越来越受到人们的关注。他在20世纪90年代的作品笔墨厚重、色彩浓郁,特别是1999-2003年的作品整体上呈现出了“灰色雕塑风格”,2004年至今,其作品开始转向淡雅、清新和简约的风格。由此可见,张江舟的水墨人物画在经历了不同时期的变化后已日臻完美与成熟。文章从分析张江舟不同时期的水墨人物画入手,旨在研究探寻其作品的艺术特征、艺术价值以及对当代水墨人物画坛的推动作用和启迪意义。     

由“秀骨清像”到“曲眉丰颊”——从五官造像样式看佛教艺术对唐代人物画的影响

佛教艺术作为一种外来的宗教艺术,对中国古代人物画产生了深远的影响,在与中原文化的相互融合中,中国古代人物造像经历了＂秀骨清像＂、＂面短而艳＂的不同阶段,最终形成了大唐＂曲眉丰颊＂的造像样式,确立了中国式的佛像风格和民族绘画格式。     

"董永遇仙"故事系统中傅员外形象的叙事分析

＂善＂与＂恶＂是对立的,理论而言它不可能体现在一人之身。然而,在＂董永遇仙＂这一故事系统中,不同叙事者笔下傅员外的形象却呈现出前后完全不同的善与恶的道德对立。透过这一现象,能够发现意识形态无处不在的强大渗透力与宰制性。     

手机短信中的语言魅力

手机短信由于受字数限制,内容要短小精悍,故往往依托于诗、词、曲艺、歌谣等文学形式来完成创作,这为短信开辟了一条提炼语言、推敲词语、确保语言精炼之道,显示出短信所具有的文学魅力。文章主要从短信的语言风格和语言锤炼两个方面加以论述。     

A skew-normal factor model for the analysis of student satisfaction towards university courses

Classical factor analysis relies on the assumption of normally distributed factors that guarantees the model to be estimated via the maximum likelihood method. Even when the assumption of Gaussian factors is not explicitly formulated and estimation is performed via the iterated principal factors’ method, the interest is actually mainly focussed on the linear structure of the data, since only moments up to the second ones are involved. In many real situations, the factors could not be adequately described by the first two moments only. For example, skewness characterizing most latent variables in social analysis can be properly measured by the third moment: the factors are not normally distributed and covariance is no longer a sufficient statistic. In this work we propose a factor model characterized by skew-normally distributed factors. Skew-normal refers to a parametric class of probability distributions, that extends the normal distribution by an additional shape parameter regulating the skewness. The model estimation can be solved by the generalized EM algorithm, in which the iterative Newthon–Raphson procedure is needed in the M-step to estimate the factor shape parameter. The proposed skew-normal factor analysis is applied to the study of student satisfaction towards university courses, in order to identify the factors representing different aspects of the latent overall satisfaction.