灰毛大青黄酮苷的分析方法和提取工艺

采用紫外分光光度法、硝酸铝-亚硝酸钠法和高效液相色谱法分别测定了灰毛大青黄酮苷含量,通过正交试验研究了灰毛大青黄酮苷提取工艺.试验结果表明3种分析方法结果相差较大,通过测定机理分析,确立了硝酸铝-亚硝酸钠法为灰毛大青黄酮苷含量测定的适宜方法,3种方法都具有较好的线性关系,精密度、稳定性、重现性和回收率均符合要求;正交试验的适宜工艺条件为料液比1∶6 （g/V）、提取温度70℃、提取时间60min和提取次数3次,在此条件下黄酮苷得率为9.9330mg/g.     

回收LNG冷能的新型碳二烃两级膨胀朗肯循环

提出了一种新型的回收LNG冷能的两级膨胀朗肯动力循环,可以乙烯或乙烷作为工质。此工艺流程采用多股流低温板翅式换热器(MSCHE)作为主要设备,使工质两级膨胀并采用回热过程,可以使循环的冷能利用效率得到明显提高。针对此工艺分别以乙烯或乙烷为工质,与LNG直接膨胀结合和不结合,共四种方案采用HYSYS软件进行工艺模拟,并对模拟结果进行了比较和分析,可得出无LNG膨胀的乙烯两级膨胀工艺流程最为合理,其冷能和火用的利用率可以分别达到19.67%和21.75%。     

小型冷库液体冷媒融霜系统的研究

研究了液体冷媒融霜系统应用于小型冷库制冷系统的性能;介绍了液体冷媒融霜原理和控制操作过程、液体冷媒融霜实验的装置和方法;对实验结果进行了分析;重点通过库温变化、蒸发器进出口温度压力变化、过冷度对系统的影响、系统COP几个方面,研究了液体冷媒融霜应用于小型冷库制冷系统的性能。     

Differential Inequalities Applied to The Stochastic Birth and Death Process

We describe an approach to a countably infinite system of ordinary differential equations belonging to the theory of the stochastic birth and death process. The main novelty in our method is the systematic use of a classical theorem on sub- and supersolutions for finite linear systems of the form y '( t ) = Ay ( t ). It leads in a simple way to the minimal solution and some of its properties. For convenience a proof of the theorem is given at the end.     

Moderate deviations for martingale differences and applications to φ -mixing sequences

For a R d -valued sequence of martingale differences { m k } k S 1 , we obtain a moderate deviation principle for the sequence of partial sums { Z n ( t ) 1 ~ k =1 [ nt ] m k / b n , t ] [0,1]}, in the space of càdlàg functions equipped with the Skorohod topology, under the following conditions: a Chen-Ledoux type condition, an exponential convergence in probability of the associated quadratic variation process of the martingale, and a condition of "Lindeberg" type. For the small jumps of Z n (·), we apply the general result of Puhalskii [Puhalskii, A. (1994). "Large deviations of semimartingales via convergence of the predictable characteristics". Stoch. Stoch. Rep. , 49 , pp. 27-85]. Following the method of Ledoux [Ledoux, M. (1992). "Sur les déviations modérées des sommes de variables aléatoires vectorielles indépendantes de même loi". Ann. Inst. H. Poincaré , 28 , pp. 267-280] and Arcones [Arcones, A. (1999). "The large deviation principle for stochastic processes", Submitted for publication], we prove that the large jumps part of Z n (·) is negligible in the sense of the moderate deviations. One can regard our result as an extension to martingale differences, of the beautiful characterization of moderate deviations for i.i.d.r.v. case due to Chen [Chen, X. (1991). "The moderate deviations of independent vectors in Banach space". Chin. J. Appl. Probab. Stat. , 7 , pp. 124-32] and Ledoux [Ledoux, M. (1992). "Sur les déviations modérées des sommes de variables aléatoires vectorielles indépendantes de même loi". Ann. Inst. H. Poincaré , 28 , pp. 267-280]. Using the Gordin [Gordin, M.I. (1969). "The central limit theorem for stationary processes". Soviet Math. Dokl. , 10 , pp. 1174-1176] decomposition, the martingale result is applied to prove the moderate deviation principle for a wide class of stationary { -mixing sequences of random variables.     

Transport equation on semidiscrete domains and Poisson–Bernoulli processes

In this paper, we consider a scalar transport equation with constant coefficients on domains with discrete space and continuous, discrete or general time. We show that on all these underlying domains, solutions of the transport equation can conserve sign and integrals both in time and space. Detailed analysis reveals that, under some initial conditions, the solutions correspond to counting stochastic processes and related probability distributions. Consequently, the transport equation could generate various modifications of these processes and distributions and provide some insights into corresponding convergence questions. Possible applications are suggested and discussed.     

不确定三重交替更新过程

在更新过程中,交替更新过程是常见的重要的过程之一.本文首先介绍不确定三重交替更新过程,其中间隔时间都是不确定变量.然后证明了关于平均工作率的极限值的不确定三重交替更新过程定理.最后给出了一个实际应用例子.     

Two hyperfinite constructions of the brownian bridge

Infinitesimal Analysis is used to give two constructions of the brownian bridge process. In the first construction a hyperfinite tied down random walk is used and a brownian bridge is obtained via the standard part map. As a consequence it is shown that the brownian bridge is the weak limit of a sequence of normalized tied down random walks. The second construction is based on a hyperfinite uniform empirical process. This construction gives an almost trivial proof of Donsker's Invariance Principle for the uniform empirical process