Linear scalar-on-surface random effects regression models

Many research fields increasingly involve analyzing data of a complex structure. Models investigating the dependence of a response on a predictor have moved beyond the ordinary scalar-on-vector regression. We propose a regression model for a scalar response and a surface (or a bivariate function) predictor. The predictor has a random component and the regression model falls in the framework of linear random effects models. We estimate the model parameters via maximizing the log-likelihood with the ECME (Expectation/Conditional Maximization Either) algorithm. We use the approach to analyze a data set where the response is the neuroticism score and the predictor is the resting-state brain function image. In the simulations we tried, the approach has better performance than two other approaches, a functional principal component regression approach and a smooth scalar-on-image regression approach.     

Humor and satire in politics: Introducing cultural sociology to the field

The landscape of political humor and satire is changing rapidly, and it is becoming an increasingly relevant aspect of our culture. Although scholars have been actively trying to capture this change, majority of the existing frameworks for understanding humor and satire in politics still reduce these phenomena to mere genres or rhetoric tools. In addition, they provide insufficient accounts concerning the reception of humor and satire, and neglect to interpret and explain what they communicate. In the article, a general understanding of humor and satire outside of a political context, followed by an overview of studies discussing humor and satire in politics through their applications in social movements, as leadership tools, and through their manifestations in mass media has been presented. Lastly, a cultural sociological perspective to the field has been introduced. It has been argued that approaching humor and satire in politics through a structural hermeneutic method of the Strong Program will enable us to recognize and treat political humor and satire as autonomous and complex cultural systems which carry an internal power to move people.     

语言问题的理论思索

从功能的角度考察语言的本质 ,是诸多著作理解语言性质的哲学基础。功能论固然看到了语言对于人类社会的决定性作用 ,然而却丝毫未触及语言自身的结构特征和机制。仅从功能的角度认识语言是不够的 ,还必须深入到语言结构内部 ,对语言的特征、机制及结构体系进行多角度观察 ,才能较为完整地揭示语言的本质     

弯曲液面的附加压强

本文主要从球形液面内、外的压强差和任意弯曲液面内、外的压强差两个方面推导 了弯曲液面的附加压强公式。     

Alternative boundaries for CUSUM tests

Alternative boundaries for the common Recursive (or Standard) CUSUM test and the OLS-based CUSUM test for structural change are suggested and their properties are examined by simulation of expectedp values. The poor power of the tests for early and late structural changes can be improved for the OLS-based version, whereas this weakness of the Recursive CUSUM test cannot be overcome by the new boundaries. Research supported by the Austrian Science Foundation (FWF) under grant SFB#010 (‘Adaptive Information Systems and Modeling in Economics and Management Science’).     

国家与市民社会理论视野中的村民自治改革——从国家与市民社会的良性结构性互动关系出发

国家与市民社会的“良性结构性互动说”为村民自治改革的未来发展提供了方向。在国家与市民社会理论视野下，村民自治改革不仅在现实层面上推动了国家与社会的分离，而且也实现了国家与社会关系的制度化重构。但村民自治改革作为一种内生的政治发展过程也引发了越来越多的具有中国特色的理论和实践问题。因此，要推行以村民自治为基础的多元化社会自治，建构市民社会的广泛社会基础；同时对以村民自治权为基础的社会自治权与国家公权进行明确的法律界分，并为社会自治权提供侵权法律救济，从而在组织形态和权力形态上实现社会与国家的良性结构性互动。     

A semi-parametric approach to robust parameter design

Parameter design or robust parameter design (RPD) is an engineering methodology intended as a cost-effective approach for improving the quality of products and processes. The goal of parameter design is to choose the levels of the control variables that optimize a defined quality characteristic. An essential component of RPD involves the assumption of well estimated models for the process mean and variance. Traditionally, the modeling of the mean and variance has been done parametrically. It is often the case, particularly when modeling the variance, that nonparametric techniques are more appropriate due to the nature of the curvature in the underlying function. Most response surface experiments involve sparse data. In sparse data situations with unusual curvature in the underlying function, nonparametric techniques often result in estimates with problematic variation whereas their parametric counterparts may result in estimates with problematic bias. We propose the use of semi-parametric modeling within the robust design setting, combining parametric and nonparametric functions to improve the quality of both mean and variance model estimation. The proposed method will be illustrated with an example and simulations.     

运用表面光电压技术对半导体表面光电特性的研究

对运用表面光电压技术(SPS)对半导体材料光电性质的研究进行了综述,系统阐述了表面光电压谱(SPS)和场诱导表面光电压谱(FISPS)在测定半导体类型、表面态及其能级位置、表面电荷分布、半导体的能带隙等方面所表现出的优越性质.研究了半导体能带隙所表现出的特有性质.     

名词性复合词的意义建构诸理论述评

名词性复合词的意义建构是一个看似简单,实际上非常复杂的过程。传统语法把这一意义建构过程简单化,认为名词性复合词的意义等于各组成部分名词的意义总和。转换生成语言学家 意义特征理论学家也都提出了各自的理论解释,但都有很大的缺陷。概念合成语言学理论对名词性复合词的意义建构做出了比较完整的理论解释,但也有待于进一步的改进。     

论石油存续企业的结构调整与优化改革的总体思路

石油存续企业的结构调整与优化，是当前石油企业深化改革的难点和重点问题。石油存续企业改革的核心应在明确定位的基础上，合理确定企业的主营业务与辅营业务，并以此为基础对现有的业务经营单位进行重组，最终对辅业经营单位进行结构调整和整合，实现企业的长期生存和发展。