终端区空域规划运行评价指标体系

为了合理分配管制资源,保障高效运作终端区,通过对终端区空域规划运行效能进行量化分析,进而掌握其运行情况及发展形势。首先建立了基于8类关键性能领域的终端区空域规划运行评价指标体系。然后采用状态分类评估法构造综合评价函数,利用基于随机森林(random forest, RF)算法的可拓层次分析法(extension analytic hierarchy process, EAHP)分析计算指标权重,达到综合考虑指标影响、加强指标量化程度、减少研究过程主观性的目的。最后,以广州终端区和武汉进近为例,对八大关键性能指标进行实例分析,采用蒙特卡洛(Monte Carlo)模拟验证了指标计算结果的可靠性,提升了指标的认可度,验证了系统评价结果的准确性。     

Two Tales of Return Predictability: The Case of Asia–Pacific Equity Markets

If past prices can successfully predict future price movements, it would contradict the notion of weak‐form market efficiency. Return predictability can be assessed via a variety of random walk statistical tests or via the application of mechanical trading rules. Findings of return predictability and state of market efficiency are compared by applying a battery of popular random walk statistical tests and a large set of mechanical trading rules to a family of equity indexes in Asia–Pacific equity markets over a 20‐year period of time. Inferences drawn from different random walk based econometric tests of market efficiency often disagree among themselves and tend to exaggerate the extent of predictability in returns. Testing of return predictability via a set of mechanical trading rules allows one to account for a possible data snooping bias, error measurements due to nonsynchronous trading and market frictions such as trading costs. Persistent predictability of returns that cannot be explained by the combination of data snooping bias, nonsynchronicity bias and moderate level of transaction costs is found in just two emerging equity markets in the region. Copyright © 2016 John Wiley & Sons, Ltd.     

Can We Predict the Financial Markets Based on Google's Search Queries?

We look into the interaction of Google's search queries and several aspects of international equity markets. Using a novel methodology for selecting words and a vector autoregressive modeling approach, we study whether the search queries of finance‐related words can have an impact on returns, volatility of returns and traded volume in four different English‐speaking countries. We identify several words whose search frequency is associated with changes in the dependent variables. In particular, we find that increases in search queries including the word stock predict increased volatility and decreased index returns over the next week. On top of that, we investigate the performance of a market‐timing strategy based on the search frequency of this word and benchmark it against random words from the Word‐Net database and a naive buy‐and‐hold strategy. The results of this empirical application are positive and particularly stronger during the global crisis of 2009. Copyright © 2016 John Wiley & Sons, Ltd.     

超导纳米线单光子探测技术进展

超导纳米线单光子探测技术自2001年出现以来,已经成为超导电子学领域的一个热点研究方向.作为一种新型的单光子探测技术,其具有探测效率高、暗计数低、时间抖动小、计数率高、响应频谱宽、电路简单等优势,综合性能在近红外波段已经明显超越传统的半导体探测技术,成为一种主流的单光子探测技术.本文从应用基础角度出发,对超导纳米线单光子探测器件的材料、器件工艺、性能、系统集成以及前沿应用等进行介绍,并对国际上该领域研究未来的发展趋势进行探讨.     

大黄酚脂质体包封率测定方法的研究

目的建立大黄酚脂质体包封率的测定方法。方法采用低速离心法分离载药脂质体与游离的药物,采用紫外分光光度法测定大黄酚的含量,计算出包封率。结果实验结果表明,当离心条件为1 500r/min、离心时间为120s时,可将载药脂质体与游离药物有效地分离,并测得3批大黄酚脂质体的包封率分别为82.29%,83.25%和83.06%,符合2010版《中华人民共和国药典》的规定。结论该方法简便快速,准确可靠,可用于测定大黄酚脂质体的包封率。     

一种含有中性指标的数据包络分析方法

在应用数据包络分析方法进行评价时,要求所有指标必须具有偏好性,即所有指标必须越大越好或者越小越好.然而,当评价指标体系中含有中性(即没有偏好性)指标时,传统的数据包络分析方法则不能解决该类问题.因此,本文以经济效率与产业结构调整为背景,从系统性的角度出发提出了一种用于评价含有中性指标的数据包络分析模型.该模型不仅能给出一个经济系统的效率大小,而且还能给出该系统应如何通过产业结构调整来提高经济系统的效率.最后,应用本文提出的方法分析了天津市经济结构调整的有效性问题.     

基于容积效率控制算法的沥青洒布精度研究

在分析影响沥青洒布控制精度因素的基础上,提出非定常容积效率控制算法,并通过建立数学模型,得到了非定常容积效率控制算法的计算公式。利用厂商提供的实验数据求解,结果表明,非定常容积效率控制算法的控制精度较高。     

运用多元智能理论提高普通话教学效益

在高等师范院校里,普通话教学还存在着诸多问题。将多元智能理论引入到普通话的教学过程中,可实现理想的教学效果。     

浅谈英语教学中的情感教育

英语教学作为语言教学的一个过程,同时也是一个情感交流的过程.本文以英语教学中的情感教育为基础,深入分析了情感教育对于提高英语学习效率的重要性.教学中如果能正确的把握情感教育,既可以塑造学生良好的品行,又能激发学生的学习兴趣,从而提高教学质量。     

向量优化问题ε-真有效解的一个性质

在次似凸性假设下，证明了ε-真有效解集的一个性质；提出了向量优化问题的ε-真有效解集为空的一个充分奈件，并对最近一些文献中相应的结果进行了改进与推广．