SIOP模式及其对我国双语教学的启示

SIOP模式是教授英语学习者学科内容的一种教学模式,还是课堂观察的评价工具,其主要包括八大组成部分和三十条细则。该模式目前广泛运用于美国中小学教学之中,并取得了理想的效果。SIOP模式对我国双语教学具有以下三点启示:我国双语教学应以实践为导向、理论为指导、课堂为中心、学生为主体;我国双语教学应兼顾内容目标和语言目标;我国双语教学需要开发具有很高信度和效度的双语课堂教学评价工具。     

Online Intermediary as a Channel for Selling Quality‐Differentiated Services

When deciding whether to utilize an online intermediary in addition to their own distribution channels, quality differentiated service providers face the trade‐off between the benefit of extended reach and the threat of increased competition. Using an analytical framework, we analyze when and how service providers may utilize an online intermediary to their advantage in the presence of advance selling (i.e., selling a service at an early date for future consumption). In general, when an online intermediary is used, the competition effect dominates the reach effect and leads to a falling price trend. Interestingly, we find that the negative effect of increased competition on profits, due to intermediary usage, can be reversed by committing to self‐imposed participation limits (i.e., selling only a predetermined amount of services through the online intermediary). This ensures that the service provider is better off selling through both its own site and the online intermediary, rather than selling exclusively using either channel.      

Coping with Gray Markets: The Impact of Market Conditions and Product Characteristics

Gray markets, also known as parallel imports, have created fierce competition for manufacturers in many industries. We analyze the impact of parallel importation on a price‐setting manufacturer that serves two markets with uncertain demand, and characterize her policy against parallel importation. We show that ignoring demand uncertainty can take a significant toll on the manufacturer's profit, highlighting the value of making price and quantity decisions jointly. We find that adjusting prices is more effective in controlling gray market activity than reducing product availability, and that parallel importation forces the manufacturer to reduce her price gap while demand uncertainty forces her to lower prices. Furthermore, we explore the impact of market conditions (such as market base, price sensitivity, and demand uncertainty) and product characteristics (“fashion” vs. “commodity”) on the manufacturer's policy towards parallel importation. We also provide managerial insights about the value of strategic decision‐making by comparing the optimal policy to the uniform pricing policy that has been adopted by some companies to eliminate gray markets entirely. The comparison indicates that the value of making price and quantity decisions strategically is highest for moderately different market conditions and non‐commodity products.     

基于神经网络的产品创新项目风险评估方法研究

产品创新是企业在现代市场环境下经济增长的主要方式,但产品创新项目具有很高的风险性和不确定性,产品创新项目的风险管理己成为学术界和企业界所关注的重要研究课题。文章拟对产品创新项目风险评估问题进行较为系统的分析,研究基于产品创新管理的产品创新项目风险评价指标体系及基于神经网络的产品创新项目风险评估模型,为产品创新项目风险评估提供新的理论基础和方法论。     

英语强化训练可行性的理论探讨

本文从回顾英语强化教学的发展历程入手,探讨语言强化教学模式在教学法及其上位学科语言学、教育学、心理学等方面的理论依据,并以此对广东培正学院实行的英语强化训练教学模式的特点进行分析和研究,从理论上探讨实施英语强化训练教学模式的可行性。     

海洋农业可持续发展系统协调研究——以浙江省为例

伴随沿海地区工业化和城市化进程的加快,沿海地区正面临海洋资源环境破坏与生态恶化的严峻局面.实现沿海海洋农业可持续协调发展已引起了各方的广泛关注.在此,以灰色系统理论为基石,以浙江省为例,对海洋农业可持续发展的协调性进行了研究.     

城市边缘化社区聚居模式初探——桃浦七村实地调查的思考

本文结合对一个城市边缘化社区的实地调查,综合分析了边缘化社区居民的生活习惯和聚居模式,并在此基础上提出有针对性的住区规划和建筑方面的对策;最后讨论了边缘社区的聚居模式和阶层混居之间的关系.     

Bayesian model learning based on a parallel MCMC strategy

We introduce a novel Markov chain Monte Carlo algorithm for estimation of posterior probabilities over discrete model spaces. Our learning approach is applicable to families of models for which the marginal likelihood can be analytically calculated, either exactly or approximately, given any fixed structure. It is argued that for certain model neighborhood structures, the ordinary reversible Metropolis-Hastings algorithm does not yield an appropriate solution to the estimation problem. Therefore, we develop an alternative, non-reversible algorithm which can avoid the scaling effect of the neighborhood. To efficiently explore a model space, a finite number of interacting parallel stochastic processes is utilized. Our interaction scheme enables exploration of several local neighborhoods of a model space simultaneously, while it prevents the absorption of any particular process to a relatively inferior state. We illustrate the advantages of our method by an application to a classification model. In particular, we use an extensive bacterial database and compare our results with results obtained by different methods for the same data.     

竞合创业促就业模式：大学生与农民工就业难题破解

以创业促就业的发展战略是我国现实国情的最优战略选择。基于理论共识，借鉴中外经验，聚焦我国宏观就业态势中大学生、农民工两大就业难点，以创业需求竞合、创业政策制度竞合为逻辑起点，对农民工与大学生竞合创业模式从创业理念与行为竞合、创业教育培训模式竞合、创业切入点竞合、创业平台竞合、创业保障竞合等层面作原则性探讨。