When Sex is Hardly About Mutual Pleasure: Dominant and Resistant Discourses on Sexuality and its Consequences for Young People's Sexual Health

ABSTRACT

This study explores gendered discourses about sexuality in Ecuador, the consequences of these discourses for young people's sexual health, and the possibility of the emergence of resistance and challenge. We analyzed and compared individual interviews and focus-group discussions with: young women, youth service providers, ordinary young men, and activist young men. Five interpretative repertoires emerged: (1) becoming sexually respectable women, (2) policing young women's sexuality, (3) men threatening and protecting women, (4) sexual relations (abusing, fooling, or seducing?), and (5) emerging resistance. The repertoires constructed a hierarchy of sexualities in which heterosexual monogamous lifelong coupledom was normative and women's pleasure was absent, but resistance was emerging.     

基于路径分析的科技成果评价指标赋权方法研究

指标赋权是科技成果评价过程中的关键环节。通过建立路径模型,对科技成果评价指标进行路径分析,在消除其他因素影响的基础上,确定原因变量（指标）对结果变量（指标）的直接影响,并据此对指标进行赋权。实证分析表明,该赋权方法具有可操作性和实用性。     

基于因子分析法的中国民用汽车保有量影响因素分析及其政策含义

随着中国国民收入的稳步提高,民用汽车保有量在快速上升,但理论界对民用汽车保有量的研究既存在选取变量有限、信息丢失或遗漏等问题,又存在对其影响因素研究不足的现状。故选取2005年全国31个省市自治区的各地区国民经济核算、固定资产投资、运输和邮电、国内贸易以及人口五大类中部分项目的大量截面数据,在对影响中国民用汽车保有量影响因素进行相关分析的基础上,运用因子分析法率先得出影响中国民用汽车保有量的生产消费、交通水利投资、公路和批发零售四个相关因子,并讨论了促进中国汽车发展的政策含义。     

项目动态BEP分析模型的创建与选用

BEP分析是项目不确定性分析的重要内容之一。现行的BEP分析模型,由于存在着未考虑资金的时间价值、理论依据不足、考察角度单一,以及方法过于简单等明显缺陷,客观上弱化了项目盈亏平衡分析的功效。为此,在对传统模型进行理性思考和比较的基础上,适应现代项目评估理论创新和实践的需要,提出以“内部收益率”等于综合资金成本率作为依据建立模型,以取代现行的静态BEP分析模型和以基准收益率为依据建立的现有动态分析模型。     

Modeling probability density through ultraspherical polynomial transformations

We present a method for fitting parametric probability density models using an integrated square error criterion on a continuum of weighted Lebesgue spaces formed by ultraspherical polynomials. This approach is inherently suitable for creating mixture model representations of complex distributions and allows fully autonomous cluster analysis of high-dimensional datasets. The method is also suitable for extremely large sets, allowing post facto model selection and analysis even in the absence of the original data. Furthermore, the fitting procedure only requires the parametric model to be pointwise evaluable, making it trivial to fit user-defined models through a generic algorithm.     

A Bayesian analysis of a change in the parameters of autoregressive time series

In this article, we consider a Bayesian analysis of a possible change in the parameters of autoregressive time series of known order p, AR(p). An unconditional Bayesian test based on highest posterior density (HPD) credible sets is determined. The test is useful to detect a change in any one of the parameters separately. Using the Gibbs sampler algorithm, we approximate the posterior densities of the change point and other parameters to calculate the p-values that define our test.     

中国上市公司财务预警实证研究

在对国外公司财务预警经典研究成果进行回顾和总结的基础上,运用多元判别分析方法（MDA）和逐步判别分析（Stepdisc）等方法逐层推进构造预测模型,以经济实用为选择标准,最终建立一个预测准确率最高、变量最少的适合中国实际情况的财务危机预测模型。     

Some results on renewal equations

In this paper solutions of renewal-type integral equations are studied. It is proved that a recursively spades;efined approximation to the solution has some nice convergence properties. Some simple bounds and other results on the renewal function and the renewal spades;,ensity are obtained.     

全局主成分法在土地集约利用评价中应用——以中部地区为例

在构建评价指标体系基础上,运用基于三维立体时序全局表的全局主成分法对1997￣2005年东部、中部、西部、东北地区原始数据进行分析,对比分析得出中国中部地区的土地集约利用水平变化规律。结果表明:全局主成分法的适用性广;近9年来中部地区土地集约利用水平在不断提高;中部地区土地集约利用水平与东部和西部、东北地区比较呈现两极变化趋势。     

Cumulative correspondence analysis using orthogonal polynomials

Taguchi's statistic has long been known to be a more appropriate measure of association of the dependence for ordinal variables compared to the Pearson chi-squared statistic. Therefore, there is some advantage in using Taguchi's statistic in the correspondence analysis context when a two-way contingency table consists at least of an ordinal categorical variable. The aim of this paper, considering the contingency table with two ordinal categorical variables, is to show a decomposition of Taguchi's index into linear, quadratic and higher-order components. This decomposition has been developed using Emerson's orthogonal polynomials. Moreover, two case studies to explain the methodology have been analyzed.