新时期湖南花鼓戏发展中的症结与对策

湖南花鼓戏具有两百多年的历史,声腔独特、地方色彩浓厚,语言通俗、作风淳朴,凝聚了民间艺人智慧的结晶,是最具影响力的地方小戏。在20世纪中期深受湖南民众的喜爱,在南方地区影响力较大,改革开放之后,尤其是20世纪90年代之后,电视机、DVD等现代电子产品不断普及,直到现在网络时代的到来,不断的冲击着花鼓戏的发展市场。当代青年对流行文化的追随,逐渐冷落了花鼓戏艺术,观众数量不断减少,如果不制定科学的花鼓戏发展方案,其市场发展前景堪忧。     

山寨产品/真品相似性评价与山寨产品购买意愿

研究了山寨产品/真品相似性评价对山寨产品购买意愿的影响,并且将相似性评价进一步区分为象征相似性评价和功能相似性评价.通过问卷调查和回归分析,研究发现象征相似性评价和功能相似性评价是2个可以区分的概念,并且在象征相似性评价与购买意愿关系中,使用窘迫性的调节作用显著;在功能相似性评价与购买意愿的关系中,使用窘迫性和聪明购买者感知的调节作用显著.     

论艺术隐喻的本质、特征与方法

隐喻是思维。艺术隐喻就是人脑运用隐喻方法，通过已知的某一事物的个别属性来暗示或者隐合另一事物相似属性的信息加工处理及整合过程。艺术隐喻具有发散性与跳跃性、形象生动性与创造性、以相似性和类型性选择为基础、意向的不确定性等特征。艺术隐喻的主要方法有主动隐喻法、存在性隐喻法和可能性隐喻法。     

A Theory of Diversity

How can diversity be measured? What does it mean to value biodiversity? Can we assist Noah in constructing his preferences? To address these questions, we propose a multi‐attribute approach under which the diversity of a set of species is the sum of the values of all attributes possessed by some species in the set. We develop the basic intuitions and requirements for a theory of diversity and show that the multi‐attribute approach satisfies them in a flexible yet tractable manner. A natural starting point is to think of the diversity of a set as an aggregate of the pairwise dissimilarities between its elements. The multi‐attribute framework allows one to make this program formally precise. It is shown that the program can be realized if and only if the family of relevant attributes is well‐ordered (“acyclic”). Moreover, there is a unique functional form aggregating dissimilarity into diversity, the length of a minimum spanning tree. Examples are taxonomic hierarchies and lines representing uni‐dimensional qualities. In multi‐dimensional settings, pairwise dissimilarity information among elements is insufficient to determine their diversity. By consequence, the qualitative and quantitative behavior of diversity differs fundamentally.     

Accuracy of Numerical Solutions Using the Euler Equation Residuals

This paper is concerned with asymptotic properties on the accuracy of numerical solutions. It is shown that the approximation error of the policy function is of the same order of magnitude as the size of the Euler equation residuals. Moreover, for bounding this approximation error the most relevant parameters are the discount factor and the curvature of the return function. These findings provide theoretical foundations for the construction of tests to assess the performance of alternative computational methods.     

Two-mode relational similarities

In a previous paper, Kovacs (2010) proposed a generalized relational similarity measure based on iterated correlations of entities in a network calibrated by their relational similarity to other entities. Here I show that, in the case of two-mode network data, Kovacs’s approach can be simplified and generalized similarities calculated non-iteratively. The basic idea is to rely on initial similarities calculated from transforming the two-mode data into one-mode projections using the familiar duality approach due to Breiger (1974). I refer to this as two-mode relational similarities and show, using the Southern Women’s data and data from Senate voting in the 112th U.S. Congress, that it yields results substantively indistinguishable from Kovacs’s iterative strategy.