生态翻译视域下隐喻翻译研究——以《围城》英译本为例

隐喻作为一个非常巧妙的语言应用现象,非常值得研究。本文拟从生态翻译学对其进行研究。生态翻译学是一个从生态学角度研究翻译活动、翻译现象和翻译理论的新的研究范式。本文着重从适应/选择,三维转换和整体/关联的角度对《围城》这一文学巨著中典型的隐喻现象的翻译进行讨论,旨在开拓隐喻研究的新视角     

信任危机、逆向选择与品牌重建——来自网贷之家的经验证据

以中国P2P行业信任危机为背景,借助网贷之家公布的数据,利用面板固定效应模型研究信任缺失情形下的逆向选择问题以及政府和行业协会重建品牌信任的效果,结果表明:P2P行业信任危机下的平台旨在通过建设品牌形象来吸引投资人与借款人的做法是徒劳的,信任缺失导致合规平台的诚信经营并不为公众所认可,长此以往这些平台很可能会退出市场,进而引发逆向选择问题;自上而下的制度建设在重建品牌信任中取得了可喜的成绩,有效缓解并逆转了P2P行业的逆向选择问题,且市场整治初见成效。此研究成果对于目前正在进行的P2P行业整顿具有十分现实的指导意义。     

基于CAN总线的隧道通风监测系统设计

为了实现隧道通风监测系统的高安全可靠性、远距离信息传输、多节点网络监测等要求,提出了基于CAN总线 技术的隧道通风监控系统。设计了基于CAN总线技术的控制系统硬件结构,介绍了烟雾和温度检测原理;设计了基于 CAN总线的通风系统监测节点;设计了工控机与CAN总线通信接口适配卡;设计了系统主程序、事件检查和处理子程序 的流程图。应用结果表明该系统具有传输距离远、监测网络节点多等特点,大大提高了系统的实时性和可靠性。     

“海丝”战略背景下闽台海洋经济融合发展研究

党中央在新时期作出的共建21世纪海上丝绸之路的战略决策,对深化区域合作、推动全球经济发展具有重大的影响,更为闽台海洋经济融合发展提供了难得机遇。系统梳理和回顾改革开放以来闽台海洋经济合作的历程及成效,分析21世纪海上丝绸之路战略背景下闽台海洋经济融合发展的新机遇,提出闽台两地应充分发挥优势互补,坚持互利共赢原则,全面加强海洋渔业、航港造船产业、海洋科技产业和海洋观光游憩业的融合发展,共同推动闽台海洋开发合作向纵深发展。     

论十七年文学的忧患意识——兼与夏志清教授商榷

夏志清教授曾认为“感时忧国”精神是中国现代文学的主要特征,其他各历史阶段的文学是不存在该精神的。但是,如果仔细辨析“感时忧国”精神的源流,深入分析十七年文学相关文本,我们会发现该精神不过是积淀在中国知识分子思想深层的忧患意识在新的历史条件下的置换与发展,它在十七年文学中并没有全然消失而是得到了一定程度的继承。对此,夏志清的相关文章也是充满悖论的。     

Measures of individual risk attitudes and portfolio choice: Evidence from pension participants

We use a large non-student sample to test how distinct measures of risk-attitudes relate to each other, to demographic characteristics and to real-life risk taking in the financial domain. These measures, namely the Bomb Risk Elicitation Task (BRET), self-reported willingness to take risks in general, the choice in a hypothetical lottery, the score in the Domain Specific Risk-Taking (DOSPERT) scale, appear to be positively correlated and exhibit a certain degree of consistency. Furthermore, a subset of these measures is driven by similar demographic characteristics as such that males are more risk seeking and risk-aversion increases with age. Using extensive data on the retirement portfolios of the participants during the years 2008–2014, we find that all of these measures are positively correlated with the riskiness of individual portfolios. The self-reported willingness to take risks in general appears to be the most relevant measure in predicting actual risk-taking behavior.     

Exploitation aversion: When financial incentives fail to motivate agents

Studies of the principal-agent relationship find that monetary incentives work in many instances but that they can also backfire. Various mechanisms for this failure have been examined (e.g., intrinsic motivation, image concerns). We posit that an aversion to being exploited, i.e., being used instrumentally for another’s benefit, can also cause incentives to fail. Using an experiment we find that compliance is lower for exploitative principals compared to neutral ones despite using the same contracts. To corroborate our results we show that surveyed “exploitation aversion” mediates this effect. Our results have implications for the design and implementation of incentives within organizations.     

A Lower Bound for the Wrap-around L2-discrepancy on Combined Designs of Mixed Two- and Three-level Factorials

The objective of this article is to study the issue of employing the uniformity criterion measured by wrap-around L₂-discrepancy to assess the optimal foldover plans. For mixed two- and three-level fractional factorials as the original designs, general foldover plan and combined design under a foldover plan are defined, and the equivalence between any foldover plan and its complementary foldover plan is investigated. A lower bound of wrap-around L₂-discrepancy of combined designs under a general foldover plan is obtained, which can be used as a benchmark for searching optimal foldover plans. Moreover, it also provides a theoretical justification for optimal foldover plans in terms of uniformity criterion.     

Models for the analysis of C-reactive protein in statin trials

Elevation in C-reactive protein (CRP) is an independent risk factor for cardiovascular disease progression and levels are reduced by treatment with statins. However, on-treatment CRP, given baseline CRP and treatment, is not normally distributed and outliers exist even when transformations are applied. Although classical non-parametric tests address some of these issues, they do not enable straightforward inclusion of covariate information. The aims of this study were to produce a model that improved efficiency and accuracy of analysis of CRP data. Estimation of treatment effects and identification of outliers were addressed using controlled trials of rosuvastatin. The robust statistical technique of MM-estimation was used to fit models to data in the presence of outliers and was compared with least-squares estimation. To develop the model, appropriate transformations of the response and baseline variables were selected. The model was used to investigate how on-treatment CRP related to baseline CRP and estimated treatment effects with rosuvastatin. On comparing least-squares and MM-estimation, MM-estimation was superior to least-squares estimation in that parameter estimates were more efficient and outliers were clearly identified. Relative reductions in CRP were higher at higher baseline CRP levels. There was also evidence of a dose-response relationship between CRP reductions from baseline and rosuvastatin. Several large outliers were identified, although there did not appear to be any relationships between the incidence of outliers and treatments. In conclusion, using robust estimation to model CRP data is superior to least-squares estimation and non-parametric tests in terms of efficiency, outlier identification and the ability to include covariate information.