溶出固形物对软米硬度和黏弹性的影响

以粳米和糯米为对照,研究了溶出固形物对软米硬度和黏弹性的影响。分析发现软米溶出固形物质量分数为11.85%,显著高于粳米和糯米(P<0.05),与弹性显著正相关(P<0.05)；与粳米和糯米相比,软米中的固形物直支链淀粉比最低,利于形成连续凝胶网结构。此外,软米溶出淀粉侧链中聚合度为6~12的短链A链比例最高,赋予其较好的黏弹性。质构和流变分析结果表明:除溶出固形物后,软米的硬度显著增加,黏硬比和弹性显著降低。扫描电子显微镜结果表明:除溶出固形物后米粒表面粗糙、凹凸不平,有明显的孔洞；软米表面所形成的渔网状孔洞状结构能够对饭粒起到支撑作用,使得整个饭粒弹性更好。溶出固形物含量、组成、分子结构及其在米饭表面分布的差异是软米较低硬度和较好黏弹性优势产生的主要原因。     

应用ABEEM_(σπ)模型研究非金属硼化物的电荷分布

通过大量量子化学计算,拟合确定了非金属硼化物体系模型分子的ABEEMσπ参数.将这些参数应用到ABEEMσπ模型中计算非金属硼化物模型分子的电荷分布,计算结果显示,ABEEMσπ模型计算得到的电荷分布与从头算计算的电荷分布都有很好的一致性.还计算了测试分子的电荷分布从而验证了ABEEMσπ参数的可转移性,电荷分布变化的规律是在BF3,BCl3,BBr3,BI3分子中B原子电荷逐渐减小,F,Cl,Br,I原子电荷逐渐增大.ABEEMσπ模型可以很好地应用于非金属硼化物的结构和性质的分析.     

Forecasting VaR models under Different Volatility Processes and Distributions of Return Innovations

This paper provides clear‐cut evidence that the out‐of‐sample VaR (value‐at‐risk) forecasting performance of alternative parametric volatility models, like EGARCH (exponential general autoregressive conditional heteroskedasticity) or GARCH, and Markov regime‐switching models, can be considerably improved if they are combined with skewed distributions of asset return innovations. The performance of these models is found to be similar to that of the EVT (extreme value theory) approach. The performance of the latter approach can also be improved if asset return innovations are assumed to be skewed distributed. The performance of the Markov regime‐switching model is considerably improved if this model allows for EGARCH effects, for all different volatility regimes considered. Copyright © 2014 John Wiley & Sons, Ltd.     

On the Predictive Content of Autoregression Residuals: A Semiparametric,Copula‐Based Approach to Time Series Prediction

This paper proposes an adjustment of linear autoregressive conditional mean forecasts that exploits the predictive content of uncorrelated model residuals. The adjustment is motivated by non‐Gaussian characteristics of model residuals, and implemented in a semiparametric fashion by means of conditional moments of simulated bivariate distributions. A pseudo ex ante forecasting comparison is conducted for a set of 494 macroeconomic time series recently collected by Dees et al. (Journal of Applied Econometrics 2007; 22: 1–38). In total, 10,374 time series realizations are contrasted against competing short‐, medium‐ and longer‐term purely autoregressive and adjusted predictors. With regard to all forecast horizons, the adjusted predictions consistently outperform conditionally Gaussian forecasts according to cross‐sectional mean group evaluation of absolute forecast errors and directional accuracy. Copyright © 2012 John Wiley & Sons, Ltd.     

基于EM算法的水下目标辐射噪声模型参数估计

对水下目标辐射噪声的混合高斯模型进行参数估计时,针对极大似然函数很难求解的问题,研究了一种使用海洋环境噪声统计信息的期望值最大算法(EM算法).在对Bouvet和Schwartz水下目标辐射噪声信号和海洋环境噪声模型研究的基础上,修正了传统的EM统计算法,以降低计算的复杂度,提高迭代收敛速度.仿真结果和实船信号实验数据的一致性,表明基于EM算法的混合模型参数估计方法,使得参数估计复杂度降低,运算量明显减少,估计性能较好,具有很好的应用价值.     

应用变量变换法讨论2维正态分布的性质

运用通常方法讨论2维正态分布的性质时,计算较为繁琐。以变量变换法为工具,给出一个独立性定理,以变量变换法和该独立性定理为基础,讨论2维正态分布的边际分布、协方差、独立性,可以看到该方法显著地减少了计算量。     

用Fokker-Planck方程研究热噪声电路的特性

噪声普遍存在于各种电路中,文章通过采用算子分解法求解了白噪声作用下RLC电路的Fokker-Planck方程,得到与经典理论相符合的结论,进一步证明了布朗理论的正确性.     

一类最优更新策略的研究

当系统元件受到很多独立因素影响时,本文以矿井提升系统中的铜丝绳为例,利用可靠性理论,给出它的可靠性评估及安全系数的计算,并利用更新极限定理,在其寿命为正态分布的情况下,通过一个近似方程,得到了最佳更换策略。为制订合理的维修更换制度提供了理论依据。     

武夷山自然保护区松毛虫属及其近缘属的分布与区别

通过对福建武夷山保护区松毛虫属及其近缘属昆虫调查和已有资料的分析研究，本文记述武夷山保护区松毛虫属及其近缘属共16种（杂毛虫属8种、松毛虫属6种、云毛虫属1种、丫毛虫属1种），占福建省已知种类89％。文中列出分属检索表。     

Distribution of possible sunshine durations over rugged terrains of China

Theconcepton possiblesunshineduration(PSD)findsitswiderangeofapplicationsinagricul ture ,forestry ,meteorology ,hydrology ,remotesens ing ,buildingindustryandsolarenergyutilization[1] .Itis ,however,hardtodeterminethePSDinapar ticularruggedterrainonaccountofitsslopeandas pect ,aswellasthescreeningofelevatedsurroundinglands[2 ] .PSDhastodateremainedanessentialyetunknowngeographicparameteronanation wideba sis ,especiallyinmountains[3] .PSDrefersbothtoitsastronomicalanalog ,meaningamaximum po…