高效液相色谱法测定CHP与有关物质含量

采用Shim-pack CLC-SIL(4.6 mm×250 mm,5μm)色谱柱,建立了高效液相色谱法以乙腈-Ⅰ为流动相进行分离(其中Ⅰ为配制的稀硫酸溶液),二极管阵列检测器在230 nm波长处检测,测定CHP含量与有关物质。进样体积为10μL,流速为1 mL.min-1。     

A Benchmark Approach to Filtering in Finance

The paper proposes the use of the growth optimal portfolio for pricing and hedging in incomplete markets when there are unobserved factors that have to be filtered. The proposed filtering framework is applicable also in cases when there does not exist an equivalent risk neutral martingale measure. The reduction of the variance of derivative prices for increasing degrees of available information is measured. 1991 Mathematics Subject Classification: primary 90A09; secondary 60G99; 62P20 JEL Classification: G10, G13     

物料配比中的微机控制系统

介绍了由微机、ＡＤＣ芯片、Ｉ／Ｏ芯片及其他辅助芯片来实现颗粒物料配比的一种方法。     

Estimating liquidity premia in the Spanish government securities market

This paper investigates the presence of liquidity premia in the relative pricing of assets traded on the Spanish government securities market. First, a classification of bonds into four different categories based on their degree of liquidity is proposed. Second, liquidity premia are estimated introducing liquidity parameters in the estimation of the zero-coupon yield curve. Results suggest the existence of a liquidity premium for post-benchmark bonds (both strippable and non-strippable). The size of this premium is relatively small. In the case of pre-benchmark bonds, the lack of liquidity does not seem to be priced. It is also shown that these pricing discrepancies are robust to the impact of taxes on bonds.     

Insider trading,growth opportunities and the market reaction to new financing announcements*

Abstract

This paper explores the profitability of momentum strategies, by investigating if a momentum strategy is superior to a benchmark model once the effects of data-snooping have been accounted for. Two data sets are considered. The first set of data consists of US stocks and the second one consists of Swedish stocks. For the US data strong evidence is found of a momentum effect and hence the hypothesis of weak market efficiency is rejected. Splitting the sample in two parts, it is found that the overall significance is driven by events in the earlier part of the sample. The results for the Swedish data indicate that momentum strategies based on individual stocks generate significant profits. A very weak or no momentum effect can be found when stocks are sorted into portfolios. Finally, and perhaps most importantly, results show that data-snooping bias can be very substantial. Neglecting the problem would lead to very different conclusions.     

工程保险无标底招标报价基准研究

在工程项目保险招投标时,标底在评标过程中对业主项目预算管理和中标者的利益有着直接影响。目前为止,保险招标中,站在第三方立场上,既考虑客观的市场反应又考虑投标人投标报价的整体水平的报价基准研究较少,研究保险招标中具有切实可行、易操作、较客观的报价基准确定方法成为在项目操作过程中亟待解决的问题。     

Body Image and Beliefs About Appearance: Constraints on the Leisure of College-Age and Middle-Age Women

Reducing adolescent substance use is important in South Africa, a developing nation with increasing adolescent substance use, lack of leisure/recreation opportunities, and high rates of adolescent discretionary time. Previous research suggests leisure boredom and adolescent substance use co-occur in this setting. Using longitudinal data from 2,580 South African adolescents as they progressed from the 8th to 11th grade, the current study disentangles the associations of trait and state leisure boredom with substance use, and examines how ability to restructure boring situations moderates those associations. On average, individuals with higher trait boredom used more substances, and on occasions when state boredom was high, the prototypical adolescent used more substances. Although restructuring did not moderate these associations, greater ability was associated with lower substance use independent of leisure boredom. Findings illustrated the importance of considering how trait and state aspects of leisure may contribute to adolescents’ risk behavior and addressed through preventive intervention.     

产品并行开发项目中标杆进展度模型研究

本文提出了标杆进展度模型,为并行产品开发项目的规范应用提供了有价值的参考,并通过某公司并行工程优化项目中的模型应用,分析了在现实环境中成功运用该模型的关键要素。     

引入深度学习的城市基准地价评估模型研究

研究目的:为全面表征影响因素与土地价格之间的复杂函数关系,提高城镇基准地价预测精度,研究一种更精准的地价评估方法。研究方法:提出一种基于深度学习思想的城市基准地价评估方法,通过实例法验证模型的可行性和有效性。研究结果:(1)与BP神经网络、支持向量机这类浅层学习模型相比,DBN的深层网络结构明显能够更好地挖掘城市地价样本集的深层特征,获得更好的评估精度;(2)DBN的无监督训练框架能够利用少量的训练样本获得较高的评估精度,并且随着无标签样本的增加模型评估精度也逐渐提高。研究结论:DBN模型能够精准拟合地价影响因素和土地价格之间的复杂关系,对于基准地价评估工作具有重要的实际应用意义。