网络:校园思想政治工作的新空间与新挑战

介绍了在计算机、互联网为代表的第三次产业革命冲击下 ,网络带给校园思想政治工作的机遇与挑战 ,提出了在网络环境下从事该项工作的策略及建议     

邓小平经济跨越发展思想初探

经济跨越发展是生产力发展内在规律的体现，是对国际国内经济发展经验的总结。实现经济跨越发展的关键是抓住机遇。当前我国正处在实现经济跨越发展的大好时机，我们要抓住机遇，迎头赶上。     

加入WTO后我国金融管理分析

当前我国的金融业,有商业银行不良债权,上市公司质量隐患等问题。加入WTO对我国金融业既是机遇也是挑战,应对WTO;中国金融业应当从健全金融法规,加强金融监管,进行金融创新等方面积极应对金融业进一步开放。     

The opportunity cost of mean–variance choice under estimation risk

Mean–variance portfolio choice is often criticized as sub-optimal in the more general expected utility framework. It is argued that the expected utility framework takes into consideration higher moments ignored by mean variance analysis. A body of research suggests that mean–variance choice, though arguably sub-optimal, provides very close-to-expected utility maximizing portfolios and their expected utilities, basing its evaluation on in-sample analysis where mean–variance choice is sub-optimal by definition. In order to clarify this existing research, this study provides a framework that allows comparing in-sample and out-of-sample performance of the mean variance portfolios against expected utility maximizing portfolios. Our in-sample results confirm the results of earlier studies. On the other hand, our out-of-sample results show that the expected utility model performs worse. The out-of-sample inferiority of the expected utility model is more pronounced for preferences and constraints under which in-sample mean variance approximations are weakest. We argue that, in addition to its elegance and simplicity, the mean–variance model extracts more information from sample data because it uses the covariance matrix of returns. The expected utility model may reach its optimal solution without using information from the covariance matrix.     

我国工程地质学发展战略的思考

本文就我国工程地质学在”十一五”期间的发展战略进行了讨论,包括工程地质学面临的机遇和挑战;围绕的科学问题;在我国地球系统科学发展中的作用以及今后的发展趋势等。     

Reinforcement learning versus heuristics for order acceptance on a single resource

Order Acceptance (OA) is one of the main functions in business control. Accepting an order when capacity is available could disable the system to accept more profitable orders in the future with opportunity losses as a consequence. Uncertain information is also an important issue here. We use Markov decision models and learning methods from Artificial Intelligence to find decision policies under uncertainty. Reinforcement Learning (RL) is quite a new approach in OA. It is shown here that RL works well compared with heuristics. It is demonstrated that employing an RL trained agent is a robust, flexible approach that in addition can be used to support the detection of good heuristics.     

我国择校研究及决策之对策建议探析

择校作为当前教育改革实践层面的一个问题在我国凸显出来,成为社会各界关注的热点课题之一,为社会各界及普通大众所广泛关注。本文在文献分析的基础上就我国当前择校的研究或决策提出若干建议,以期提供一定的借鉴作用。     

21世纪我国园艺业面临的机遇与挑战

我国园艺业经过改革开放(尤其是九十年代)以来的长足发展,现在又迎来了新的发展机遇:一是我国已加入WTO;二是近年全国各大中城市相继出现大型超市。面对新的发展机遇,我国园艺业存在三个方面的挑战:一是园艺产品品种和质量问题;二是园艺产品无公害生产问题;三是园艺产品商品化处理问题。面对新的机遇与挑战,全面振兴我国园艺业需注意一些相关的问题。     

马尾松种子园经济效益研究

<正>在实际调查的基础上,运用技术经济分析方法,对广西几处马尾松种子园的经济效益进行了初步研究。结果表明:现有的马尾松种子园,宏观经济效益明显高于微观经济效益,投资收益率分别为17.99％和2.48％。实行园内间种,有利于提高经济效益。     

浅析设备的更新时机

科学的把握设备的更新时机,延长设备使用寿命,发挥其最佳效能,不仅需要先进的技术手段,而且更重要的是要依靠现行的国家技术装备政策为统领,树立企业长远思想,在技术革新、技术创新上下功夫,实现企业健康有序发展,促进新陈代谢、良性循环。由于设备维修的技术要求复杂程度不同,通常采用①费用不等额递增法来确定设备的更新时机,即根据设备年平均费用最低标准原则,设备维修应是增加本次维修费用的年平均费用小于或等于年平均费用②用费用等额递增法来确定设备更新时机,即设备年维修费用递增额,使用年限,利用等差数列得出,在使用年限内的累计维修费用③依靠科技进步来确定设备的更新时机。采用上述方法分析和预测设备的经济寿命的技术寿命,以选择更新时机。