基于风险管理的动态供应链超网络均衡模型

基于风险管理的动态供应链超网络均衡模型的研究有助于供应链超网络节点厂商在动态环境下优化其风险管理,降低风险损失,提升供应链网络在风险管理下的竞争优势。本文以三层供应链超网络为研究对象,采用风险发生概率和损失函数表达供应链超网络中节点厂商中断风险的特征,构建了基于风险管理的动态供应链超网络均衡模型。模型中包括三种类型的节点,产品生产商、零售商和需求市场,生产商考虑风险损失的情况下,基于动态变化的风险、需求和成本追求个体期望效益最优化。接着,通过进化变分不等式来表达动态供应链超网络风险管理下的均衡解,并采用投影动态系统求解进化变分不等式,通过数值算例验证方法的可靠性和合理性,通过投影动态系统解释某一个厂商趋近均衡解的过程。通过单一厂商趋近均衡解的过程,阐述其他厂商相应的最优决策。     

VIP分析简化近红外光硬膜血肿检测的研究

多通道近红外光光密度差异检测硬膜血肿的方法具有快速、无创等优点，光源周围检测器数量与位置对降低硬膜血肿程度预测模型的病态性，提高血肿检测精度至关重要。提出了基于变量投影重要性(VIP)分析的检测器位置筛选方法。通过对距离光源位置2.0～5.0 cm范围内的30个检测器获得的光密度差异数据进行VIP分析，分析比较确定VIP阈值后从中筛选出4个检测器。以偏最小二乘法(PLS)建立基于4个检测位置获得的吸光度差预测血肿发生部位吸收系数的预测模型，检测器VIP优化后血肿位置吸收系数预测结果平均相对误差由4.08%降低到2.06%。可见利用VIP分析对检测器筛选后所建立预测模型仍可较好的对硬膜位置血肿程度进行判断。该研究为近红外光硬膜血肿检测中检测器位置的选择提供了新的思路和重要参考。     

离子液体处理含油污水实验研究

合成出了适合于含油污水处理的憎水性离子液体,研究了离子液体对含油污水的处理条件。当离子液体与含油污水体积比为1∶5,pH值为5,处理15min后,水中油的去除率为95.6%,COD_Cr的去除率为93.5%,表明应用离子液体可以有效地去除油田采出水中的有机物。同时考察了再生离子液体对除油效果的影响,其五次平行实验的除油率达95.4%,COD_Cr去除率为93.2%,表明离子液体可以回收利用。在此基础上,分析了离子液体对含油污水处理的作用机理。     

单金纳米棒的光散射分析化学:径向比与分析灵敏度的关系

单纳米颗粒作为信号感应单元在化学与生物传感应用中已引起广泛关注.本文通过暗场显微成像(iDFM)研究了不同径向比金纳米棒的光散射性质.将iDFM与扫描电子显微镜(SEM)结合表征种子生长法制备的金纳米棒,结果发现,因局域表面等离子体共振而展示出的红色散射光随单个金纳米棒的径向比增大逐渐红移,且金纳米棒对其周围介质折光率(RI)变化的敏感程度随径向比增大而增大.这一结果对设计高灵敏的生物纳米传感器、提高分析检测的灵敏度具有很好的指导意义.     

Controlling intracellular Ca2+ spiral waves by the local agonist in the cell membrane

A modified spatially extended Tang-Othmer Ca2+ model is used to study intracellular Ca2+ spiral waves numerically.It is found that,as a local stimulation,the local agonist-binding on the cell membrane,which enhances the local concentration of the messenger molecule inositol 1,4,5-trisphosphate(IP 3),can influence the dynamics of the spiral waves.1) Strong enough stimuli can change the spiral wave from a meandering to a rigidly rotating one.2) On the other hand,strong enough stimuli can suppress the spiral wave from the system.It provides the theoretical clue for controlling the spiral waves by stimulating the cell membrane.     

Development and transition of spiral wave in the coupled Hindmarsh--Rose neurons in two-dimensional space

The dynamics and the transition of spiral waves in the coupled Hindmarsh-Rose(H-R) neurons in two-dimensional space are investigated in the paper.It is found that the spiral wave can be induced and developed in the coupled HR neurons in two-dimensional space,with appropriate initial values and a parameter region given.However,the spiral wave could encounter instability when the intensity of the external current reaches a threshold value of 1.945.The transition of spiral wave is found to be affected by coupling intensity D and bifurcation parameter r.The spiral wave becomes sparse as the coupling intensity increases,while the spiral wave is eliminated and the whole neuronal system becomes homogeneous as the bifurcation parameter increases to a certain threshold value.Then the coupling action of the four sub-adjacent neurons,which is described by coupling coefficient D,is also considered,and it is found that the spiral wave begins to breakup due to the introduced coupling action from the sub-adjacent neurons(or sites) and together with the coupling action of the nearest-neighbour neurons,which is described by the coupling intensity D.     

Synchronization and parameter identification of one class of realistic chaotic circuit

In this paper,the synchronization and the parameter identification of the chaotic Pikovsky-Rabinovich(PR) circuits are investigated.The linear error of the second corresponding variables is used to change the driven chaotic PR circuit,and the complete synchronization of the two identical chaotic PR circuits is realized with feedback intensity k increasing to a certain threshold.The Lyapunov exponents of the chaotic PR circuits are calculated by using different feedback intensities and our results are confirmed.The case where the two chaotic PR circuits are not identical is also investigated.A general positive Lyapunov function V,which consists of all the errors of the corresponding variables and parameters and changeable gain coefficient,is constructed by using the Lyapunov stability theory to study the parameter identification and complete synchronization of two non-identical chaotic circuits.The controllers and the parameter observers could be obtained analytically only by simplifying the criterion dV/dt < 0(differential coefficient of Lyapunov function V with respect to time is negative).It is confirmed that the two non-identical chaotic PR circuits could still reach complete synchronization and all the unknown parameters in the drive system are estimated exactly within a short transient period.     

Density Functional Theory Study on Organic Dye Sensitizers Containing Bis-dimethylfluorenyl Amino Benzofuran

运用密度泛函理论和含时密度泛函理论研究了两种含二-二甲基芴氨基苯并呋喃基团的有机染料敏化剂的几何结构、电子结构、极化率和超极化率以及紫外可见谱. 基于理论计算和实验结果的一致性指认了电子吸收谱的特征. 可见区的吸收带都与光诱导电荷转移过程有关，二甲基芴氨基苯并呋喃基团是在光电转换敏化中起主要作用的基团. 通过对两种染料敏化剂的比较，分析了亚乙烯基对几何结构、电子结构和光谱特性影响.     

Instability and Death of Spiral Wave in a Two-Dimensional Array of Hindmarsh-Rose Neurons

Spiral wave could be observed in the excitable media, the neurons are often excitable within appropriate parameters. The appearance and formation of spiral wave in the cardiac tissue is linked to monomorphic ventricular tachycardia that can denervate into polymorphic tachycardia and ventricular fibrillation. The neuronal system often consists of a large number of neurons with complex connections. In this paper, we theoretically study the transition from spiral wave to spiral turbulence and homogeneous state （death of spiral wave） in two-dimensional array of the Hindmarsh-Rose neuron with completely nearest-neighbor connections. In our numerical studies, a stable rotating spiral wave is developed and selected as the initial state, then the bifurcation parameters are changed to different values to observe the transition from spiral wave to homogeneous state, breakup of spiral wave and weak change of spiral wave, respectively. A statistical factor of synchronization is defined with the mean field theory to analyze the transition from spiral wave to other spatial states, and the snapshots of the membrane potentials of all neurons and time series of mean membrane potentials of all neurons are also plotted to discuss the change of spiral wave. It is found that the sharp changing points in the curve for factor of synchronization vs. bifurcation parameter indicate sudden transition from spiral wave to other states. And the results are independent of the number of neurons we used.