Dynamic preference revelation and expression of personal frames: how Weibo is used in an anti-nuclear protest in China

This study explores the use of Weibo in a protest against a nuclear fuel processing plant in China. This study argues that social media play an important role in the development of protests in non-democratic societies through the mechanism of preference revelation, which blurs the boundary between offline protests and the individualized expression of preferences on social media. Of Weibo tweets which were posted prior to the occurrence of the offline protest, 11,788 protest-related were examined with the aid of a supervised machine learning technique. The results showed that the revelation of personal preferences in the form of individualized expressions of opposition were more common than mobilization and coordination, and such preferences were legitimized by the personal frames of risk and the distrust in government. The use of Weibo to mobilize potential opponents to the project, primarily by calling for the expression of opposition, was less frequent than the use of Weibo to express personal frames. Furthermore, the prevalence of Weibo usage changed dramatically. In the first few days of the protest, the revelation of personal preferences and personal frames of risk were prominent, whereas personal frames of distrust in government were common in the days leading to the street protest.     

城市高密度人口分布下的社区建设——以广州荔湾区为例

以广州荔湾区“六普”资料为根据，就人口高密度分布与社区建设的关系进行梳理与探讨。荔湾区“六普”数据显示，城区人口密度过高，成为影响社区生活的主要因素，给居民生命安全、公共生活质量与日常生活便利性带来负面效应。科学化与人性化人口密度干预是治理高密度人口问题的理性策略，如“跳出”社区视野，在城市“一盘棋”中均衡人口布局，在社区建设中，通过社区更新改造，增强人口承载能力，通过建构便利舒适人居环境，提升社区生活质量。     

从想象、走进到反思:人类学视野下的“边缘”研究谱系

人类学视野下的"边缘"不仅是与"中心"相对的空间范畴,也是一种反思殖民主义、后殖民主义、西方霸权、现代性以及全球化的话语和研究范式。在从想象、走进到反思的演变过程中,"边缘"研究经历了从宏观到微观、从猜测到实证、从西方中心主义到多元化、从全球化到本土化的转换。     

用工业CT技术测量储层岩芯饱和度分布

认识储层岩石中含油饱和度及饱和度分布,对驱替机理的深入研究是非常重要的。为了搞清储层岩石在驱替过程中的饱和度分布情况,应用工业CT技术,提出了一种储层含油岩芯被驱替后的饱和度分布的CT密度差测量方法。在岩样的同一断面,分别对干岩样、饱和岩样及在驱替后的岩样进行CT扫描,重建相应的断层图象,测量所建图象的灰度值,计算出相应的密度值,用密度差法计算出饱和度及其分布值。在γ射线工业CT机“CD-300BG”上对某油田岩样进行了实际测量,获得的结果说明,采用CT密度差法测量饱和度分布是有效的。该方法与常规驱替法相比较,具有快速、精度高、无损岩样和能模拟地层状态测量等特点,是油田开发、油藏描述和地层评价的一种新的有效方法。     

高等学校发展的战略选择:保守与创新

高等学校从产生的那一天起就面临着保守与创新的选择,但在近代化之前,高等学校远离社会而固守自己的象牙塔之时,这种选择的艰难性并不突出。当人类社会进入知识经济时代,高等学校所面临的选择就变得十分艰难。因此,正确处理好保守与创新的关系,是当代高等学校的重大战略决策,我国高等学校正处在这个关键时期。     

美国青少年公民道德教育审视与思考

建立和完善对青少年进行公民道德教育的机制是美国教育的特色之一。长期以来，美国在对青少年进行公民道德教育的过程中，形成了特有的人本化、个性化的教育理念，多样性、灵活性的教育方法，渗透性、社会性的教育途径，充分发挥了政治性、阶级性的教育功能，有着一整套独特的理论与实践体系，对青少年公民道德素质培养提高发挥了重要作用。通过对美国青少年进行公民道德教育的内容和运行机制的分析审视，借鉴其成功的经验和做法，可以提高我国青少年公民道德教育的实效性。     

A robust and efficient estimation method for nonparametric models with jump points

Nonparametric models with jump points have been considered by many researchers. However, most existing methods based on least squares or likelihood are sensitive when there are outliers or the error distribution is heavy tailed. In this article, a local piecewise-modal method is proposed to estimate the regression function with jump points in nonparametric models, and a piecewise-modal EM algorithm is introduced to estimate the proposed estimator. Under some regular conditions, the large-sample theory is established for the proposed estimators. Several simulations are presented to evaluate the performances of the proposed method, which shows that the proposed estimator is more efficient than the local piecewise-polynomial regression estimator in the presence of outliers or heavy tail error distribution. What is more, the proposed procedure is asymptotically equivalent to the local piecewise-polynomial regression estimator under the assumption that the error distribution is a Gaussian distribution. The proposed method is further illustrated via the sea-level pressures.     

Optimal financing and dividend policy with Markovian switching regimes

This work investigates an optimal financing and dividend problem for an insurer whose surplus process is modulated by an observable continuous-time and finite-state Markov chain. We assume that the insurer should never go bankrupt by issuing new equity. The goal of the insurer is to maximize the expected present value of the dividends payout minus the discounted cost of equity issuance. We obtain the optimal policies and explicit expressions for the value functions when the risk reserve process is modeled by both upward jump model and its diffusion approximation. Numerical illustrations of the sensitivities of the model parameters are provided.     

Quality self-control and co-supervision mechanism of construction agent in public investment project in China

Public investment project (PIP) plays an important role in the China economy. In order to improve the project management performance of public projects, the government is searching for a scientific system to build a construction management supervision mode. This paper introduces the policy background and connotation of Agent Construction System (ACS). As a public investment construction management model, ACS, is gradually being incorporated into the legal framework, it is necessary to improve the construction agent supervision mechanism. This article analyzes the supervision mechanism of construction agent quality management under the principle of two-stage agent mode and establishes an agent quality self-control system and a government co-supervision system. These systems take the contract management as the core and the project quality objective as the guidance. These systems also consist of a two-dimensional framework of vertical self-control and horizontal supervision, which form a quality supervision mechanism. Based on Rough Set theory, the article proposes the idea of building an agent quality self-control and government co-supervision model, and illustrates it with a flow chart for building the model, which paves the way of quantitative research for the future.     

Bayesian ratemaking under Dirichlet process mixtures

Experience ratemaking plays a crucial role in general insurance in determining future premiums of individuals in a portfolio by assessing observed claims from the whole portfolio. This paper investigates this problem in which claims can be modeled by certain parametric family of distributions. The Dirichlet process mixtures are employed to model the distributions of the parameters so as to make two advantages: to produce exact Bayesian experience premiums for a class of premium principles generated from generic error functions and, at the same time, provide robust and flexible ways to avoid possible bias caused by traditionally used priors such as non informative priors or conjugate priors. In this paper, the Bayesian experience ratemaking under Dirichlet process mixture models are investigated and due to the lack of analytical forms of the conditional expectations of the quantities concerned, the Gibbs sampling schemes are designed for the purpose of approximations.