在中国-东盟架构下的中国西南地区外语教育制度思考

本文归纳了东盟国家语言的概况,分析了东盟国家语言与中国西南地区民族语言的关系,结合在中国—东盟自由贸易区架构下中国西南地区外语人才的需求特点,指出了现行外语教育制度给当今社会特别是给西南地区带来的弊端,最后对外语教育制度提出了自愿化、专业化、基础化、区域化、激励化的系统改革构想,并从逻辑学、社会学、民族学、法学以及国际比较等角度进行了论证。     

经济全球化与我国高技术产业发展

目前,全球化的浪潮已经席卷世界各个角落,各国都在不同程度地实行对外开放.商品经济、对外贸易和世界市场的形成与发展是经济全球化形成的根本原因,经济全球化的特点体现在市场经济模式的发展过程、科技活动的全球管理和跨国公司的主宰作用三个方面.加入世界贸易组织,参与激烈的国际竞争,为我国高技术产业的发展带来了难得的机遇.高技术企业面对入世的挑战,应当认清整个形势,看到自身差距,承认适应期的存在,探索出一条适度保护、强强联合、练好内功的具有中国特色的发展道路.     

基于专利引用的国际性技术外溢实证研究

采用专利跨国引用作为国际性技术外溢的代理变量,基于美国国家经济研究局专利引用数据库分析中国发明专利技术的现状和特征;依据该数据库中6大类36个专利的细分类别,计算1985年～1999年中国与11个创新型国家(地区)的技术相似度;运用技术知识存量替代技术知识流量,测算中国1985年～2004年的对外技术依存度,综合分析技术相似性、对外技术依存度、地理距离和语言等因素对中国通过专利引用获取国际性外溢技术的影响,利用负二项回归方法对影响中国专利引用的相关因素进行计量研究。研究结果表明,技术相似度与跨国专利引用之间不存在显著性正相关关系,对外技术依存度、语言差异均与跨国专利引用显著负相关,地理距离与跨国专利引用显著正相关。     

A Macro-Economic Framework for Evaluation of Cyber Security Risks Related to Protection of Intellectual Property

The article is based on the premise that, from a macro-economic viewpoint, cyber attacks with long-lasting effects are the most economically significant, and as a result require more attention than attacks with short-lasting effects that have historically been more represented in literature. In particular, the article deals with evaluation of cyber security risks related to one type of attack with long-lasting effects, namely, theft of intellectual property (IP) by foreign perpetrators. An International Consequence Analysis Framework is presented to determine (1) the potential macro-economic consequences of cyber attacks that result in stolen IP from companies in the United States, and (2) the likely sources of such attacks. The framework presented focuses on IP theft that enables foreign companies to make economic gains that would have otherwise benefited the U.S. economy. Initial results are presented.     

TEI@I方法论及其在外汇汇率预测中的应用

基于TE I@I方法论的理论框架,构建了一个基于TE I@I方法论的外汇汇率预测模型。在此模型中,传统的经济计量模型用于处理外汇汇率的主要趋势,人工神经网络技术用于分析外汇汇率的非线性,而文本挖掘和专家系统用于处理外汇市场中的突现性和不稳定性。最后,基于集成的思想,利用支持向量回归技术对上述3个部分进行非线性集成,从而获得一个更为精确的预测结果。通过实证方法验证了基于TE I@I方法论的外汇汇率预测模型的有效性。     

国际投资汇率风险的综合套保策略研究

国际组合投资涉及多币种汇率风险,分别使用双边货币期货进行套保要承担较高套保成本。参考美元指数期货的实践,本文提出基于人民币指数期货的综合套保策略。实证结果表明,无论对于单个货币资产还是分散化投资的国际股指、债指组合,引入人民币指数期货能够显著降低收益率波动,提高抵御汇率波动的能力,同时拓展收益空间,是有效的汇率风险综合套保工具;人民币指数期货套保效率显著优于货币期货篮子,在发达国家股指市场表现更加突出。采用基于指数加权移动平均模型（EWMA）的动态套保策略,使得人民币指数期货收益对股指或债指市场波动敏感度降低,在市场极端状况时仍能保持相对中性。     

我国的自然保护区现状简述

用较新的观点与数字,综述了建立自然保护区的目的和宗旨及我国自然保护区的特点与现状．     

Understanding the epidemiology of foreign body injuries in children using a data-driven Bayesian network

Bayesian networks (BNs) are probabilistic expert systems which have emerged over the last few decades as a powerful data mining technique. Also, BNs have become especially popular in biomedical applications where they have been used for diagnosing diseases and studying complex cellular networks, among many other applications. In this study, we built a BN in a fully automated way in order to analyse data regarding injuries due to the inhalation, ingestion and aspiration of foreign bodies (FBs) in children. Then, a sensitivity analysis was carried out to characterize the uncertainty associated with the model. While other studies focused on characteristics such as shape, consistency and dimensions of the FBs which caused injuries, we propose an integrated environment which makes the relationships among the factors underlying the problem clear. The advantage of this approach is that it gives a picture of the influence of critical factors on the injury severity and allows for the comparison of the effect of different FB characteristics (volume, FB type, shape and consistency) and children's features (age and gender) on the risk of experiencing a hospitalization. The rates it consents to calculate provide a more rational basis for promoting care-givers’ education of the most influential risk factors regarding the adverse outcomes.     

应用不等权重支持向量机预测人民币汇率的变动

基于金融时间序列的近期数据对未来的影响会大于早期数据,对应用于金融时间序列预测的支持向量机方法进行改进,给出了不等权重支持向量机方法（USVM）及其多项式光滑化处理。将不等权重支持向量机方法应用于训练样本集的子集确定预测模型,实证分析表明USVM算法预测是有效的。