从信息释义角度谈外宣词汇翻译策略——以新词为例

本文结合相关翻译理论,特别是从现代信息论原理入手,从释义角度分析了对外宣传翻译中词汇的解读问题,探讨了其分类及特征,并以新词为例,总结了外宣词汇英译的原则与几种方法,并结合具体词汇实例加以说明。     

3G数字图书馆信息服务模式的构建

随着3G的普遍应用,3G数字图书馆信息服务越来越引起人们的重视。3G网络下的数字图书馆将在服务内容、服务理念以及服务模式等方面做出突破以往的重大变革,图书馆服务也将向更高质、更高效、更个性化和更人性化方向发展。随着3G技术日臻完善以及网络建设的规模化的提高,3G手机用户也与日俱增,加之我们不断改良其带宽性能,无线网络大有替代传统网络的趋势,因此现代的数字图书馆开展3G服务具有广阔的发展前景。     

信息技术现代化对高校思想政治教育队伍建设的影响与解决路径

回应现代信息技术对思想政治教育的影响,提高思想政治教育队伍的信息知识素养,合理运用现代信息技术手段,丰富大学思想政治教育,抗御信息时代"开放社会"所存在的风险,是对中国高等院校思想政治教师队伍建设提出的新的时代任务。为此,需要建立适应信息化教育的CIO管理体制,促使思想政治教育过程管理和队伍建设符合信息技术现代化的需求。     

限价指令簿的价格发现功能

基于上海证券交易所Level—2行情数据,本文运用Hasbrouck信息份额方法分别估计最近成交价、限价指令簿中最优买卖报价及第2—10档次买卖报价在价格发现中的贡献度,以考察限价指令簿的价格发现功能,尤其关注次优限价指令对价格发现的影响。我们认为,次优限价指令有助于价格发现,其贡献度为21.43%,而且其贡献度随指令主动性的下降而递减;最优限价指令的贡献度最大,为63.82%;最近成交价的贡献度最小,为14.76%;另外,本文还考察了个股横截面特征是否影响次优限价指令对价格发现的贡献度。实证结果表明:随着个股交易活跃度的下降,投资者更倾向于提交限价指令,从而导致次优限价指令对价格发现的贡献度增加;同时,其贡献度随公司规模和Beta系数的上升而单调下降。     

政府信息公开范围探讨

《政府信息公开条例》的颁行,没有终结反而引发了国内对政府信息公开范围更大的争议。条例在基本范围和不公开事项等问题规定上的疏漏,不仅给我国政府信息公开的推进带来了不利影响,而且给行政机关真正保护不应公开的公共利益制造了难题。我国政府信息公开的推进,除需要有坚定的决心、正确的观念和有力的监督措施外,也需要通过《政府信息公开条例修正案》填补立法上的疏漏。     

A process-oriented perspective on differential business value creation by information technology: An empirical investigation

The relationship between information technology investments and firm value as an area of inquiry has sustained interest among IS researchers over the past decade. More recently, some have challenged the notion differential value among firms through Information Technology (IT) as it evolves into a ubiquitous utility-like set of technologies. This study examines the relationship between IT and business value from a process-oriented perspective, and also helps to identify the underlying links between IT and its differential business value to firms. By drawing upon economic and organizational theories, this paper develops a process framework to assess the intermediate organizational process capabilities and overall performance of firms that effectively deploy and use IT. Using data from over 80 firms, the study finds empirical support for the differential business value created by IT along a number of process oriented dimensions. These findings are discussed as these results set an optimistic tone for IT as a major causal driver of differentiation.     

Vertical cost information sharing in a supply chain with value-adding retailers

We consider a supply chain consisting of one supplier and two value-adding heterogeneous retailers. Each retailer has full knowledge about his own value-added cost structure that is unknown to the supplier and the other retailer. Assuming there is no horizontal information sharing between two retailers, we model the supply chain with a three-stage game-theoretic framework. In the first stage each retailer decides if he is willing to vertically disclose his private cost information to the supplier. In the second stage, given the information he has about the retailers, the supplier announces the wholesale price to the retailers. In response to the wholesale price, in the third stage, the retailers optimize their own retail prices and the values added to the product, respectively. Under certain conditions, we prove the existence of equilibrium prices and added values. Furthermore, we obtain the condition under which both retailers are unwilling to vertically share their private information with the supplier, as well as the conditions under which both retailers have incentives to reveal their cost information to the supplier, thus leading to a win–win situation for the whole supply chain.     

实验市场中的股权结构、信息与控制权收益

实验室环境下的决策过程研究可以较好地考察决策变量的行为基础和动态临界值.本文以中国股市中的股权结构为背景,在实验框架下考察了股权结构、信息披露和控制权收益的关系.文章先从理论上计算股东的夏普利值并以此代表股东控制权.再分不同设置变量来实验地考察控制权收益.结果表明:(1)股东控制权越平均,控制权收益越少;大股东与小股东形成"核"联盟的机会越多,其取得控制权的机会越少.(2)信息对控制权收益的影响主要体现在信息在联盟的形成和维持中的作用.(3)大股东夏普利值的高低和信息情况决定了联盟的方式.(4)控制权溢价并不一定就是控制权收益,也许只是大股东为防止自身利益被侵害而支付的成本.(5)信息不完全不一定是坏事,部分信息的隐含更能增加公司的分配效率.     

Tracing ‘driver’ versus ‘modulator’ information flow throughout large-scale,task-related neural circuitry

Primary objective: To determine the relative uses of neural action potential (‘spike’) data versus local field potentials (LFPs) for modeling information flow through complex brain networks. Hypothesis: The common use of LFP data, which are continuous and therefore more mathematically suited for spectral information-flow modeling techniques such as Granger causality analysis, can lead to spurious inferences about whether a given brain area ‘drives’ the spiking in a downstream area. Experiment: We recorded spikes and LFPs from the forelimb motor cortex (M1) and the magnocellular red nucleus (mRN), which receives axon collaterals from M1 projection cells onto its distal dendrites, but not onto its perisomatic regions, as rats performed a skilled reaching task. Results and implications: As predicted, Granger causality analysis on the LFPs—which are mainly composed of vector-summed dendritic currents—produced results that if conventionally interpreted would suggest that the M1 cells drove spike firing in the mRN, whereas analyses of spiking in the two recorded regions revealed no significant correlations. These results suggest that mathematical models of information flow should treat the sampled dendritic activity as more likely to reflect intrinsic dendritic and input-related processing in neural networks, whereas spikes are more likely to provide information about the output of neural network processing.     

Bootstrap estimation and model selection for multivariate normal mixtures using parallel computing with graphics processing units

In applications of multivariate finite mixture models, estimating the number of unknown components is often difficult. We propose a bootstrap information criterion, whereby we calculate the expected log-likelihood at maximum a posteriori estimates for model selection. Accurate estimation using the bootstrap requires a large number of bootstrap replicates. We accelerate this computation by employing parallel processing with graphics processing units (GPUs) on the Compute Unified Device Architecture (CUDA) platform. We conducted a runtime comparison of CUDA algorithms between implementation on the GPU and that on a CPU. The results showed significant performance gains in the proposed CUDA algorithms over multithread CPUs.