环境治理中微生物方法的微分博弈模型

借助微分博弈理论中的线性二次博弈模型和微生物生长的微分方程模型,同时考虑到环境治理效果和成本控制两个因素,给出了一个使用微生物方法进行环境治理的微生物投放策略.     

L-蛋氨酸缩邻香草醛Zn(Ⅱ)配合物对S .Pombe作用的热动力学研究

目的合成L-蛋氨酸缩邻香草醛Zn(Ⅱ)配合物,并通过微量热法研究配合物对S.Pombe的作用。方法以L-蛋氨酸、邻香草醛和氯化锌为原料合成了L-蛋氨酸缩邻香草醛Zn(Ⅱ)配合物,利用红外光谱、紫外光谱和元素分析等分析方法进行表征。于32℃条件下,采用微量热法测得不同浓度配合物作用下S.Pombe的生长热曲线(P-t),研究其最大产热功率P_(max)、生长速率常数k、传代时间tG、抑制率I等热动力学参数与配合物浓度c的定量关系,以及配合物的半抑制浓度IC50。结果随配合物浓度c的增大,S.Pombe的最大产热功率P_(max)呈直线递减趋势,生长速率常数k减小,传代时间tG增大,配合物的抑制率I增大,其半抑制浓度IC50为0.091 1g·L-1。结论该配合物对S.pombe生长有良好的抑制作用。     

基于参数化分位回归模型的非寿险准备金评估

准备金及其风险边际对保险公司的偿付能力具有决定性影响.均值回归模型在非寿险准备金评估中的应用较为普遍,但需要通过Bootstrap等方法计算准备金的风险边际.分位回归模型可以一次性求得准备金及其风险边际的预测值,所以在非寿险准备金评估中具有独特的应用价值.基于GB2(Generalized Beta type 2)分布建立了一种参数化分位回归模型,该模型首先对GB2分布中的位置参数和尺度参数同时引入流量三角形数据中的事故年和进展年作为解释变量,增加了模型的灵活性;其次,根据模型参数的极大似然估计结果,借助分位数函数的表达式,计算了不同分位数水平下的准备金预测值;最后,利用极大似然估计的渐近性质,通过Delta方法给出了准备金预测值的误差.基于一组增量赔款数据的实证研究结果表明,GB2参数化分位回归模型在非寿险准备金评估及其风险边际的预测中具有良好的应用价值.     

Effect of MWCNT reinforcement on the precipitation-hardening behavior of AA2219

Aluminum alloy matrix composites have found a predominant place in research, and their applications are explored in almost all industries. The aerospace industry has been using precipitation-hardenable alloys in structural applications. However, insufficient literature is available on the influence of multiwalled carbon nanotubes (MWCNTs) on precipitation-hardenable alloy composite materials; thus, this work was designed to elucidate the effect on MWCNT reinforcement on AA2219 with and without precipitation hardening. Reinforcement with MWCNTs has been reported to accelerate precipitation and to achieve greater hardness within a much shorter time. The addition of 0.75wt% MWCNTs resulted in maximal hardness at 90 min, which is approximately 27% of improvement over the maximum hardness achieved by the corresponding monolithic alloy after 10 h of aging. The sample reinforced with 0.75wt% MWCNTs showed an improvement of 82% in hardness by solutionizing and aging compared to that achieved by sintering.     

复数共轭运算的推广及应用

讨论了复数列与复变函数的极限、函数的连续性、可导、复变函数的积分、级数等方面共轭运算的问题,说明了其在级数方面的应用,尤其是用新的方法证明了在函数论和偏微分方程中有重要应用的著名的泊松(Poisson)积分公式。     

SWI对脑创伤性轴索损伤的诊断价值

目的:探讨磁敏感加权成像(SWI)对弥漫性轴索损伤(DAI)的诊断价值.方法:对40例临床诊断为DAI病例常规T1WI,T2WI液体衰减反转恢复(FLAIR)序列和磁共振弥散加权(DWI)及磁敏感加权(SWI)扫描.结果:SWI可清楚显示31例DAI的颅内异常小出血灶,为点状、条索状、类圆形或串珠状的低信号影,检出率77.5%,分别同常规T1WI,T2WI序列检出率15%,32.5%(χ2=31.43,P=0.01,χ2=16.36,P=0.01),同FLAIR序列检出率50%,DWI序列57.5%(χ2=6.54,P0.05,χ2=3.65,P0.05).结论:SWI能非常敏感地检出外伤后弥漫性轴索损伤患者的脑内小出血灶,对弥漫性轴索损伤有很高的诊断价值.     

(2+1)维KD方程组的一类非亚纯行波解

通过行波变换将(2+1)维KD方程组转变为复域中的常微分方程,给出复合的(2+1)维KD方程组2(wk-3l2+3ak2 C1)u=2k4 u″-k2 a2 u3+(6k2b-3kal)u2+C2,v=lku+C1的一类非亚纯解的结构.     

有机物种类对恒电位电解法测定COD值准确性的影响

以β-PbO2/石墨电极为工作电极,在支持电解溶液中加入一定量待测有机物,在低于析氧电位下进行恒电位电解时,因电极表面吸附态羟基自由基的消耗速率受电解质溶液中有机物分子向电极表面的扩散过程控制,表现为阳极电流强度的增加值(ΔI)与有机物质量浓度ρ之间呈线性关系。本文研究了多种待测有机物的ΔI与ρ的线性关系,发现由于有机物种类不同造成羟基自由基消耗速率不同,因而线性比例系数有所不同。实验结果表明在测定混合水样的化学需氧量(COD)值时,应采用与待测水样具有相似有机物混合比例的标准溶液制作工作曲线,以减少测量误差。     

A Dependent-Chance Programming Model for Proactive Scheduling

Proactive scheduling based on expected value model is an effective method to develop robust schedules in consideration of minimizing project cost caused by deviations between realized and planed activity starting times.However,these schedules may be realized with low probabilities.In this paper,a novel model based on dependent-chance programming(DCP) is proposed,considering probability as well as solution robustness.A hybrid intelligent algorithm integrating stochastic simulation and genetic algorithm(GA)is designed to solve the proposed model.Moreover,a numerical example is conducted to reveal the effectiveness of the proposed model and the algorithm.     

Workload-aware request routing in cloud data center using software-defined networking

Large latency of applications will bring revenue loss to cloud infrastructure providers in the cloud data center. The existing controllers of software-defined networking architecture can fetch and process traffic information in the network. Therefore, the controllers can only optimize the network latency of applications. However, the serving latency of applications is also an important factor in delivered user-experience for arrival requests. Unintelligent request routing will cause large serving latency if arrival requests are allocated to overloaded virtual machines. To deal with the request routing problem, this paper proposes the workload-aware software-defined networking controller architecture. Then, request routing algorithms are proposed to minimize the total round trip time for every type of request by considering the congestion in the network and the workload in virtual machines(VMs). This paper finally provides the evaluation of the proposed algorithms in a simulated prototype. The simulation results show that the proposed methodology is efficient compared with the existing approaches.