提高高一化学课堂效率方法的探讨

高一化学的学习作为整个高中化学与初中化学的衔接过渡阶段,提高这一阶段的课堂效率显得尤为重要。化学学科在初中三年级才开始纳入基础教育学科,初中化学教学的目的主要在于培养学生学习化学的兴趣,真正学习化学原理和学会应用化学则是落实在高中化学阶段。在高一化学这一学段特殊性的基础上,分别从做好初高中化学衔接、培养学生学习兴趣、有效导入、提高讲课效率、提高听课效率、教学反思六个方面提出了关于提高高一化学课堂效率的建议。     

增强现实技术概念及分析

介绍增强现实( AR)技术的概念和产生背景，分析增强现实系统的主要技术特点和其在国内外的部分应用现状，并对增强现实技术的发展进行展望。     

面向客流仿真的轨道交通车站图形建模方法

分析了城市轨道交通车站空间结构和设施设备特点,将其划分为车站-楼层-区域-设备的逻辑层次结构;利用面向对象(object oriented)建模技术,提出了一套简洁而灵活的方法:通过3种几何线型类和4种设施设备基元类,以组合的方式构建车站所有设施设备模型,进而构建整个车站的空间结构模型.此方法不但能够利用现有AutoCAD工程图精确而快捷地建立客流仿真地图,并且能够以矢量图形的方式实时显示仿真过程.     

Correcting the January optimism effect

Each month, various professional forecasters give forecasts for next year's real gross domestic product (GDP) growth and unemployment. January is a special month, when the forecast horizon moves to the following calendar year. Instead of deleting the January data when analyzing forecast updates, I propose a periodic version of a test regression for weak-form efficiency. An application of this periodic model for many forecasts across a range of countries shows that in January GDP forecast updates are positive, whereas the forecast updates for unemployment are negative. I document that this January optimism about the new calendar year is detrimental to forecast accuracy. To empirically analyze Okun's law, I also propose a periodic test regression, and its application provides more support for this law.     

产学研协同发展、知识积累与技术创新效率——基于动态面板门限机理实证分析

基于产学研耦合协调度测度模型、数据包络分析模型以及动态面板门限回归模型,运用2013～2017年中国30个省市的面板数据,研究以知识积累为门限变量时,产学研协同发展水平对区域技术创新效率产生的影响.实证结果表明:当以知识积累水平为门限变量时,产学研协同发展水平与技术创新效率间存在明显的双门限效应;随着知识积累水平的提升...     

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.     

基于MDA机制的跨洋航空网时隙分配方法

考虑到飞机跨洋飞行的限制性条件,提出了一种改进的多单元双向拍卖机制来满足跨洋航空主干网的时隙分配的需要。该机制将VCG双向拍卖和传统的多单元双向拍卖进行结合和改进,并从激励相容、预算平衡、个人理性和机制效率等方面证明了该双向拍卖机制的性质。最后的仿真结果表明,该双向拍卖机制具有较高的效率。     

Overreaction in Survey Exchange Rate Forecasts

We use survey data on five bilateral exchange rates to provide empirical evidence of the fact that professional forecasters of foreign exchange rates behave irrationally, in the specific sense that they respond inaccurately to available information in the market when forming their predictions. In particular, we find systematic biases in the forecasts resulting in the overreaction of analysts to past information contained in the exchange rate dynamics: forecasters change their prediction more than it would be rational on the basis of past realized changes. In addition, forecasters are heterogeneous in their irrationality: low performers in previous periods show a more pronounced overreaction effect. This can be read as an indication of perpetration of past errors and continued inability to learn from the past. In the second part of the paper, we exploit the novel structure of our dataset, which consists of survey data extracted from the Bloomberg platform and readily available to anyone. This feature allows us to consider their own and others' past forecasts as part of the information set that analysts use in making their predictions. By using past forecasts as proxies for relevant macroeconomic variables, we find evidence that analysts fail to correctly process not only the information contained in the spot rate past dynamics but also the information in this broader set. We see this as confirmation of the existence of inefficiency and heterogeneity between low and high performers also when full information is available. Copyright © 2014 John Wiley & Sons, Ltd.     

浅谈电力DSM技术及其在中国的发展

主要介绍了电力需求方管理或需求侧管理(DSM)的发展、目的和技术,论述了实施DSM的效益以及DSM在我国的实施情况和前景。     

能量有效的NOMA多用户-多信道匹配算法

针对非理想信道状态信息(channel state information, CSI)下面向海量用户的无线资源高效分配难题,通过引入非正交多址(non-orthogonal multiple access, NOMA)技术提出了一种能量有效的多用户-多信道匹配方案。首先,考虑用户中断概率约束,建立以最大化系统能量效率为目标的非理想CSI蜂窝下行NOMA系统信道和功率联合分配优化问题;然后,将建立的含概率约束的优化问题转化为非概率约束优化问题,并从中解耦出用户-信道匹配优化问题;最后,将面向能量效率的NOMA用户-信道匹配优化问题映射为婚姻匹配问题,进而提出一种高效低复杂度的双边匹配算法实现了多用户-多信道的动态匹配。仿真结果表明,提出的匹配算法性能优于传统匹配算法,能够提供更高的系统能效、实现更低的用户中断概率且收敛速度更快。