英汉互译中的音义对应及其可译性限度

声音、节奏等具有伴随意义,有时是对语言本身意义的补充.在翻译时力求音义对应是实现等效翻译的一种重要手段.当然,英汉语音在结构、功能和表达方式上的差异也使音义对应有一定的限度.     

Holistic trajectories: a study of combined employment, housing and family careers by using multiple-sequence analysis

Summary.  Social science applications of sequence analysis have thus far involved the development of a typology on the basis of an analysis of one or two variables which have had a relatively low number of different states. There is a yet unexplored potential for sequence analysis to be applied to a greater number of variables and thereby a much larger state space. The development of a typology of employment experiences, for example, without reference to data on changes in housing, marital and family status is arguably inadequate. The paper demonstrates the use of sequence analysis in the examination of multivariable combinations of status as they change over time and shows that this method can provide insights that are difficult to achieve through other analytic methods. The data that are examined here provide support to intuitive understandings of clusters of common experiences which are both life course specific and related to socio-economic factors. Housing tenure is found to be of key importance in understanding the holistic trajectories that are examined. This suggests that life course trajectories are sharply differentiated by experience of social housing.     

降低线性调频脉冲压缩信号旁瓣的方法

讨论线性调频脉冲压缩信号距离旁瓣的抑制。研究如何降低小时带积线性调频信号距离旁瓣电平问题,针对该信号频谱矩形特性差,提出了采用频谱修正方法来提高脉冲压缩信号的主副比。该方法具有全数字式处理特点,适宜使用IMS A100器件实现脉冲压缩处理。计算机模拟结果表明,无论是小时带积还是大时带积的线性调频信号,经谱修正后,脉冲压缩信号的主副比均舍得到提高。     

农户兼业对秸秆还田技术采纳的影响机制及效应分析——基于冀皖鄂1150份农户调查数据的实证

基于河北、安徽、湖北三省1150份农户的实地调查数据,采用倾向得分匹配法构建“反事实”框架,探讨了农户兼业对秸秆还田技术采纳的影响效应,并进一步验证了其中介效应及务工距离的作用机制。研究结果表明：（1）相比纯农户,兼业户更倾向于采纳秸秆还田技术;（2）农户兼业通过风险分担间接影响秸秆还田技术采纳,间接影响占比为24.43%;（3）当纯农户选择在乡内务工时,秸秆还田技术采纳率会提高15.0%,选择在县内乡外务工时,兼业对农户秸秆还田技术采纳行为没有显著性影响,但当纯农户选择省内县外务工时,秸秆还田技术采纳率提高了9.2%,选择省外务工时秸秆还田技术采纳率提高了10.0%。因此,为更好促进秸秆还田技术推广,政府部门应该引导和鼓励农户就近务工,保障农村劳动力就业质量,培育和支持农机社会化服务组织并加强对秸秆还田技术的指导和培训。     

贸易中介研究综述

贸易中介在国际贸易发展中发挥的作用越来越受到重视,回顾近年来国内外贸易中介文献,从贸易中介的识别方法、贸易中介影响企业贸易行为的作用机制、实证结果、企业选择贸易中介的影响因素等方面进行研究。研究发现,贸易中介的作用机制包括促进买卖方的匹配、降低贸易成本和验证产品质量; 贸易中介为企业提供了新的出口模式,帮助企业进入市场规模较小、距离较远、贸易成本较高的目的国,对企业的出口产生积极的影响,同时对企业进口国外投入品、出口和生产率提升等产生影响; 在影响因素方面,规模较小、出口产品种类越多的企业面对难以进入的市场,越可能通过贸易中介出口。研究表明,为了完善贸易中介研究的理论体系和应用实践,需要加强贸易中介能否有效应对国内外政治和经济不确定性对进出口的冲击研究,拓展跨境电商与传统贸易中介关系研究,深化企业选择混合出口模式实现贸易中介出口和直接出口的优势互补研究。     

兴趣社交网络中的供需匹配研究:以豆瓣网为例

近年来兴起的兴趣社交网络中因其内在的商业价值引起了人们的注意.兴趣社交网络中涌现出大量的商品供需信息,带来的问题之一就是商品供需信息传播匹配效率低下.为解决上述问题,本文依托社会网络分析方法,探讨在具备小世界特性的兴趣社交网络中商品供需匹配的特点,研究商品传播和匹配的规律和提高匹配效率的策略.本文选取豆瓣网关注关系为实证数据,提出在兴趣社交网络中友邻信息相关度与供需信息传播匹配效率正相关的假设,并采用计算机仿真方法来验证假设.论文获取豆瓣网的社交网络数据、包括网络用户藏书数据和图书的标签数据,针对随机选取的1000个用户和200本图书作为实验样本,分别设计两套友邻信息相关度度量算法和两套兴趣社交网络中商品供需信息传播匹配算法,采用进行仿真模拟实验进行了比较.实验结果证实了人们对于商品检索的直观判断,得出在兴趣社交网络中,商品供需信息传播匹配效率与友邻信息相关度正相关的结论.     

IT服务供需双边匹配的模糊多目标决策方法

描述了IT服务外包中的供给方与需求方的双边匹配决策问题。为了解决该问题,针对IT服务的供给方和需求方分别给出的语言满意度评价信息,将语言评价信息转化为三角模糊数并进行多指标信息的集结运算。在此基础上,考虑以供给方和需求方双方满意度最大为目标,构建了IT服务供需双边匹配的模糊多目标优化模型,并采取将模糊多目标优化模型转化为单目标线性规划模型的方式进行求解得到匹配结果。实例计算表明,提出的方法具有可行性和实用性。     

认知图式理论在翻译建构中的意义及其具体运用

图式是指已有的知识经验在大脑中形成的“框图”,即知识结构。翻译中通过联想、搜索译入语中有关图式,进行套用、模仿、迁移和重构,有助于发挥译入语的优势,实现双语符号的成功转换。按照认知心理学观点,运用图式进行传译可包括三个方面,即运用原型匹配、运用模板匹配、运用“自上而下”搜索。     

中国资本和劳动力匹配状况分析:1978-2006

本文针对现实经济中资本与劳动力匹配可能会出现的5种情形,从新古典经济学的框架下推导了厂商在完全竞争环境下的资本劳动力理想最佳配比值形式,并以此为对照标准,分析了经济中资本劳动力现实匹配与理想匹配差距对要素配置可能产生的影响。接着本文详细讨论了对有关参数值进行了估算的过程中可能会出现的问题。最后我们利用中国1978~2006年间的数据对相关参数值进行了估算,通过计算我们得到了在此期间资本劳动力近似理想配比值和现实配比值的结果,根据此结果我们结合中国转型时期的特点对资本劳动力匹配状况进行了初步解释。     

A simple two-step procedure using the Fellegi–Sunter model for frequency-based record linkage

The widely used Fellegi–Sunter model for probabilistic record linkage does not leverage information contained in field values and consequently leads to identical classification of match status regardless of whether records agree on rare or common values. Since agreement on rare values is less likely to occur by chance than agreement on common values, records agreeing on rare values are more likely to be matches. Existing frequency-based methods typically rely on knowledge of error probabilities associated with field values and frequencies of agreed field values among matches, often derived using prior studies or training data. When such information is unavailable, applications of these methods are challenging. In this paper, we propose a simple two-step procedure for frequency-based matching using the Fellegi–Sunter framework to overcome these challenges. Matching weights are adjusted based on frequency distributions of the agreed field values among matches and non-matches, estimated by the Fellegi–Sunter model without relying on prior studies or training data. Through a real-world application and simulation, our method is found to produce comparable or better performance than the unadjusted method. Furthermore, frequency-based matching provides greater improvement in matching accuracy when using poorly discriminating fields with diminished benefit as the discriminating power of matching fields increases.