The Dynamics of Two-State Public Opinion Propagation On Signed Networks

The formation of public opinion on the network is a hot issue in the field of complex network research, and some classical dynamic models are used to solve this problem. The signed network is a particular form of the complex network, which can adequately describe the amicable and hostile relationships in complex real-world systems. However, the methods for studying the dynamic process of public opinion propagation on signed networks still require to be further discussed. In this paper, the authors pay attention to the influence of negative edges in order to design a two-state public opinion propagation mechanism suitable for signed networks. The authors first set the interaction rules between nodes and the transition rules of node states and then apply the model to synthetic and real-world signed networks. The simulation results show that there is a critical value of the negative edge ratio.When the negative edge ratio exceeds this critical value, the evolutionary result of public opinion will change from a consistent state to a split state. This conclusion is also consistent with the distribution result of opinions within communities in the signed network. Besides, the research on the network structural balance shows that the model makes the network evolve in a more balanced direction.     

SQL Server2000数据库储存结构研究与应用

通过对SQL Server2000数据库硬盘储存结构的研究．导出数据文件、日志文件与数据库详细结构．为数据库数据丢失后的恢复创建必要的技术条件．     

多重约束下智慧仓储机器人配置仿真优化研究

针对智慧仓库的仓储机器人配置问题,构建了基于排队论的离散事件仿真模型,在保证系统可靠性和服务强度的前提下,考虑到故障对系统的影响,以距离成本、时间成本、空闲成本和购置成本所构成的总成本最小化为目标,提出了一种基于FlexSim平台的离散事件仿真优化方法。通过分析系统平均队长、订单平均逗留时间等指标,将直观化的系统瓶颈与运行实际数据相结合,求得系统成本最小的配置策略。结合实例,对算例中的智慧仓库机器人配置方案进行求解。结果表明,基于FlexSim平台的离散事件仿真寻优方法,能够求解仓储机器人配置的优化方案,并能保证模型方法的计算效率。     

Intra-brain microinjection of human mesenchymal stem cells decreases allodynia in neuropathic mice

Neuropathic pain is a very complex disease, involving several molecular pathways. Current available drugs are usually not acting on the several mechanisms underlying the generation and propagation of pain. We used spared nerve injury model of neuropathic pain to assess the possible use of human mesenchymal stem cells (hMSCs) as anti-neuropathic tool. Human MSCs were transplanted in the mouse lateral cerebral ventricle. Stem cells injection was performed 4 days after sciatic nerve surgery. Neuropathic mice were monitored 7, 10, 14, 17, and 21 days after surgery. hMSCs were able to reduce pain-like behaviors, such as mechanical allodynia and thermal hyperalgesia, once transplanted in cerebral ventricle. Anti-nociceptive effect was detectable from day 10 after surgery (6 days post cell injection). Human MSCs reduced the mRNA levels of the pro-inflammatory interleukin IL-1β mouse gene, as well as the neural β-galactosidase over-activation in prefrontal cortex of SNI mice. Transplanted hMSCs were able to reduce astrocytic and microglial cell activation.     

Melatonin and mitochondrial function during ischemia/reperfusion injury

Ischemia/reperfusion (IR) injury occurs in many organs and tissues, and contributes to morbidity and mortality worldwide. Melatonin, an endogenously produced indolamine, provides a strong defense against IR injury. Mitochondrion, an organelle for ATP production and a decider for cell fate, has been validated to be a crucial target for melatonin to exert its protection against IR injury. In this review, we first clarify the mechanisms underlying mitochondrial dysfunction during IR and melatonin’s protection of mitochondria under this condition. Thereafter, special focus is placed on the protective actions of melatonin against IR injury in brain, heart, liver, and others. Finally, we explore several potential future directions of research in this area. Collectively, the information compiled here will serve as a comprehensive reference for the actions of melatonin in IR injury identified to date and will hopefully aid in the design of future research and increase the potential of melatonin as a therapeutic agent.     

基于离散时间风险模型下的亏损破产概率的研究

新定义离散时间风险模型下的亏损破产概率为初始盈余u,亏损额度不大于y的破产概率。利用离散时间风险模型下的终时破产概率的计算规律,得到初始盈余水平在不同条件下的亏损破产概率的具体表达形式,并且数值模拟了一定条件下不同参数取值对亏损破产概率的影响情况,数据表明当亏损边界固定时,随着初始盈余水平的增加,亏损破产概率水平逐渐减小;当初始盈余水平固定时,随着亏损边界的增加,亏损破产概率水平逐渐增多。     

基于聚邻苯二胺和纳米金电位型免疫传感器的研究

利用电聚合和电沉积技术将邻苯二胺和纳米金固定在石墨电极上,通过白组装的方法使抗体（羊抗小鼠IgG）与石墨电极表面上的纳米金结合,制备了一种免疫传感器（Ab／GNPs／POPD／GE）,并对实验条件进行了优化。该传感器能够对抗原（小鼠IgG）进行定量检测,具有灵敏度高、响应速度快、检测范围宽等优良性能。其检测范围为4．0×10^-～1．0×10^-3ng／mL,检测下限为1．0×10^-3ng／mL．而且该免疫传感器具有较高的选择性和较好的稳定性,寿命可达15d左右。     

一种基于约束边界模式的超分辨率图像重构算法

超分辨率图像重构是利用多帧低分辨率图像重构出一幅具有更高分辨率图像.一般的凸集投影算法在放大倍数上升时存在两个问题: 一是计算复杂性急剧上升, 二是边缘振荡效应的加剧导致成像质量迅速恶化.本文针对凸集投影算法, 提出了一种基于约束边界模式的算法.实验结果表明, 新算法能够在有效抑制边缘振荡效应的同时, 较大地提高了重构速度.     

TiC对原位自生钛基复合材料高温变形的影响

通过等温热压模拟试验研究了原位自生5% TiC(体积分数,下同)颗粒增强Ti-1100复合材料在1000~1150℃的热变形行为.在不同的温度区间内计算了原位自生5%TiC/Ti-1100复合材料的塑性变形激活能.结果发现,TiC颗粒对钛基材料的热变形行为有明显影响.复合材料的塑性变形激活能在不同的温度区间内变化.在1000℃,复合材料的表观塑性变形激活能为536 kJ/mol,显著高于纯钛合金的激活能;在1150℃,计算出的复合材料表观塑性变形激活能为245.2 kJ/mol,略大于纯钛合金的激活能.变形激活能的显著差别显示复合材料的变形机制发生了变化.在此温度区间内,TiC/Ti复合材料的变形机制受到TiC颗粒以及基体中α/β相比例的影响.