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关键词： FDI   经济增长   金融市场   溢出效应  

摘要： 投资环境作为FDI的重要外部因素之一,是近几年FDI理论与实践研究的热点。在FDI的全球跨国经营活动中,其对于东道国经济增长的作用不可避免地受到东道国金融环境的影响。本文从理论上分析了金融市场因素对于FDI促进经济增长的影响,并对中美两国数据进行了实证检验,检验结果表明:由于资本积累效应,FDI对于中国的经济增长起到积极作用。对比美国而言,中国的金融市场未能有效发挥FDI促进经济增长的作用,而美国相对完善的金融市场在一定程度上支持了FDI对经济增长的促进作用。

关键词： 分类   欧盟   包装   标签   化学品   法案   化学物质   混合剂  

摘要： 近日，欧盟通过一项关于化学物质和混合剂分类、标签及包装的法规议案。

关键词： Feature Vector   Training Sample   Time Instant   System Science International   Time Synchronization  

摘要： The classification problem is considered under the conditions when there is temporal non-coordination in the data of a training sample and the data of the recognized object. A modification of the conventional classification scheme is proposed that presumes that an additional stage is involved, whose goal is to temporally match the data of the training sample to the current observation moment. The feature vectors are recalculated at the current observation moment by calculating their conditional expectations connecting the realizations of feature vectors at the time instants taking place in the training sample with their values for the current observation moment. By the example of processing and analyzing space images, it is demonstrated that the use in the course of classification of the proposed procedure of synchronizing the data of the training sample and the recognized object can substantially improve the reliability of classification results.

关键词： GENE-EXPRESSION   BREAST-CANCER   VARIABLE SELECTION   REGULARIZATION   METASTASIS  

摘要： Background: The importance of network-based approach to identifying biological markers for diagnostic classification and prognostic assessment in the context of microarray data has been increasingly recognized. To our knowledge, there have been few, if any, statistical tools that explicitly incorporate the prior information of gene networks into classifier building. The main idea of this paper is to take full advantage of the biological observation that neighboring genes in a network tend to function together in biological processes and to embed this information into a formal statistical framework. Results: We propose a network-based support vector machine for binary classification problems by constructing a penalty term from the F-infinity-norm being applied to pairwise gene neighbors with the hope to improve predictive performance and gene selection. Simulation studies in both low- and high-dimensional data settings as well as two real microarray applications indicate that the proposed method is able to identify more clinically relevant genes while maintaining a sparse model with either similar or higher prediction accuracy compared with the standard and the L-1 penalized support vector machines. Conclusion: The proposed network-based support vector machine has the potential to be a practically useful classification tool for microarrays and other high-dimensional data.

关键词： 抗甲状腺球蛋白抗体   蛋白测定   干扰作用   体外方法   甲状腺分化癌   TgAb   检验   全甲状腺切除  

摘要： 甲状腺球蛋白（Tg）是甲状腺激素的糖蛋白前体，是全甲状腺切除、131碘放射治疗后甲状腺分化癌最特异和敏感的标志物。Tg的异质性曾在甲状腺分化癌患者中报道过。血清抗甲状腺球蛋白抗体（TgAb）的存在可能干扰Tg的测定，即便是难以测出的低水平TgAb亦有影响。甲状腺分化癌患者血清中TgAb比例很高。葡萄牙学者通过体外试验评价了血清TgAb对Tg测定的干扰作用，以及Tg自身异质性对其测定的影响，

关键词： 质量控制   检验前过程   检验   护士  

摘要： 临床实验室质量控制包括分析前、分析中、分析后质量控制三个方面。分析前的质量控制包括医生选择检验项目并开申请单、患者准备、标本采集、标本保存、运送、实验室接收并处理标本。与护理人员密切相关的有患者准备、标本采集、标本保存、运送。正确地、规范化地采集和处理好标本，是分析前质量控制的重要内容，而这些工作主要是由护士来完成的，因此临床护士在标本分析前质量控制中的作用也就尤为突出。

关键词： 分类准则   化学品   标签   欧盟   包装   法案   化学物质   混合剂  

摘要： 据悉，欧盟已通过一项关于化学物质和混合剂分类、标签及包装的法规议案，新法规与联合国的全球化学品分类及标签协调制度一致并已经纳入了联合国认可的分类准则及标签规则。该议案贴近现行欧盟制度，并设有过渡期。根据规定，议案生效后，物质重新分类的期限为2010年2008年11月30日，混合剂为2015年5月31日。

关键词： 劳动合同   成立条件   变化   意义   挑战  

摘要： 《劳动合同法》在加强劳动者的保护力度、促进劳动关系和谐发展的同时,也提升了用人单位在人力资源等方面的使用和管理成本。本文从劳动合同成立条件方面,分析《劳动合同法》与《劳动法》相比较所发生的诸多变化及其重大意义,进而指出这部法律对现实所造成的挑战以及自身将面临的考验。

关键词： Virology  

关键词： GICS codes   internet   methodology   NAICS codes   sample selection   SIC codes   technology   disclosure   VALUE-RELEVANCE   INTERNET FIRMS   STOCK RETURNS   INFORMATION   EARNINGS   DISCLOSURE   IMPACT   VALUATION   REVENUE  

摘要： This study develops procedures for selecting and partitioning samples of high-technology firms for North American Industry Classification System (NAICS), Global Industry Classification System (GICS), and Standardized Industry Classification (SIC) codes. This study also assesses whether NAICS or GICS codes offer improvement over SIC codes as a methodology to identify high-technology firms, including Internet firms. SIC codes are predominantly used in accounting, information systems, business, and economics studies to select high-technology firms for analyses. However, recent studies such as Clarke (1989), Fan and Lang (2000), Ramnath (2001), and Bhojraj, Lee, and Oler (2003) have called into question the accuracy of using SIC codes for firm classification. Our study constructs a benchmurk industry classification, constructed from analyses of detailed descriptions of firms' businesses from Description of Business and footnote disclosures (required in all 10-Ks and registration statements). Based on a comparison with our benchmark industry classification, we developed combinations of codes from each system that we recommend be used to construct samples of high-technology firms or specifically targeted high-technology industries. We conclude from our analyses that GICS codes offer improvement over SIC and NAICS codes for targeting technology firms.