数字资源长期保存的技术保障机制

合理采用相关技术，建立数字资源长期保存系统并使其具有可持续性和可扩展性，使数字文献资源达到长期保存的目标，需要文献机构从管理上建立相应的技术保障机制。文章提出数字资源长期保存的技术保障机制建设的基本原则并从保存策略、研究跟踪、研究开发、组织保障、人员培养等5个方面进行机制的研究与建设。     

What＇s on NPC ＆ CPPCC Sessions 2010？——Highlights of Premier Wen＇s Press Conference

The Third Session of 11th National People＇s Congress （NPC） of China and the Third Session of the 11th National Committee of the Chinese People＇s Political Consultative Conference（CPPCC） are held in Beijing from March 5-14 ,and March 3-12 respectively,China＇s less than two weeks time lasted but most important＂two sessions＂ won spotlights this year with no exception .     

高校辅导员管理艺术探讨

辅导员是开展大学生思想政治教育的骨干力量,是大学生健康成长的指导者和引路人,其工作直接决定学校德育工作的成效。因此,高校辅导员应积极探索制度化、人性化、民主化和情感激励管理的新方式方法,以适应新时期学生管理工作的需要。     

路网环境下危险品运输的风险控制及应急保障机制研究

研究了我国路网环境下交通特点、危险品运输特点及危险品紧急事件的风险特征,剖析了危险品运输的致灾因子,提出了路网环境下危险品运输的风险控制一般模式、技术框架和应急保障机制建议,为我国具有特殊性和复杂性的路网环境下危险品运输安全监管提供可借鉴的思路。     

全球视角下的中国工业转型升级制约因素分析

国内外经济环境的变化迫使中国工业转型升级,然而在经济全球的时代,中国工业转型升级除了面临内需空间不足、创新收益不高、人才往行政部门流动和教育支撑不够等问题,还受到发达国家振兴制造业战略、技术封锁、迫使人民币升值和跨国公司在华市场竞争的制约。     

中国高新技术企业研发溢出与公司股票收益率:基于吸收能力的实证研究

高新技术企业是中国创新体系中的重要创新主体,其研发活动能够在创新系统中形成溢出效应并影响其它企业的创新活动。运用随机前沿生产函数模型估算高新技术企业对外部研发溢出的吸收能力,利用2009-2015年企业的财务数据和股票行情数据,检验了企业对外部研发溢出的吸收能力对其长期股票收益率的影响。结果表明,在长期层面,企业对外部研发溢出的吸收对其股票收益率有正向滞后性影响。同时,在一定时期内,研发投入对企业吸收能力具有显著正向影响。     

Another Look at the Case for International Diversification

In an era of sluggish domestic growth, the business spotlight is once again turning to international diversification as a means to harness global growth opportunities and production efficiencies. However, the current empirical literature provides an inconsistent view of the effects of international diversification on business performance. We employ a panel-data analysis of the international revenues and assets of the 2011 Fortune Global 500 companies and examine their performance over the past 15 years. We find that the overall contribution of diversification to revenue growth, profitability and return on capital has been positive. However, the specific shape and timing of the impact can be complex. Accordingly, businesses need to be aware of the turning points for organizational gain as well as loss.     

Do political connections affect stock price crash risk? Firm-level evidence from China

Using a sample of Chinese listed firms in the period from 2003 to 2012, this paper empirically investigates how the presence of politically connected directors affects stock price crash risk. We thereby make a distinction between listed state-controlled firms and privately controlled firms due to their different incentives to appoint politicians as directors on the board. Our empirical results show that politically connected directors exacerbate stock price crash risk in listed state-controlled firms, an effect driven by the appointment of local government officials as directors. In contrast, hiring politicians as directors, particularly central-government-affiliated directors, helps listed privately controlled firms to reduce stock price crash risk. Finally, good quality of institutions does not help to alleviate the positive relationship between political connections and stock price crash risk in listed state-controlled firms. However, it does weaken the role of political connections in reducing crash risk in listed privately controlled firms.     

谈加强当代大学生节俭教育

从当代大学生的消费现状和历史使命两个方面分析加强当代大学生节俭教育的必要性。提出从“加强节俭认知,形成科学消费观”、“挖掘隐性教育资源,内化节俭认知”、“增加心理资源,抵制消极思想和物欲”三个方面加强当代大学生节俭教育。     

Identification of approximately duplicate material records in ERP systems

The quality of master data is crucial for the accurate functioning of the various modules of an enterprise resource planning (ERP) system. This study addresses specific data problems arising from the generation of approximately duplicate material records in ERP databases. Such problems are mainly due to the firm’s lack of unique and global identifiers for the material records, and to the arbitrary assignment of alternative names for the same material by various users. Traditional duplicate detection methods are ineffective in identifying such approximately duplicate material records because these methods typically rely on string comparisons of each field. To address this problem, a machine learning-based framework is developed to recognise semantic similarity between strings and to further identify and reunify approximately duplicate material records – a process referred to as de-duplication in this article. First, the keywords of the material records are extracted to form vectors of discriminating words. Second, a machine learning method using a probabilistic neural network is applied to determine the semantic similarity between these material records. The approach was evaluated using data from a real case study. The test results indicate that the proposed method outperforms traditional algorithms in identifying approximately duplicate material records.