Real time monitoring of nucleic acids ligation based on molecular beacon

The replication, ligation and repair of nucleic acids are essential life processes that based the survival, pro-creation and evolution of creatures. These interactions involving proteins (enzymes) and nucleic acids have fas-cinated great interest of scientists[1]. The nucleic acids ligation has been revealed that it is catalyzed by ligase and co-enzyme (ATP or NAD)[2—4]. Along with in-depth re-search, the nucleic acids ligation becomes a significant and common tool employed in bioengineerin…     

Prediction of solar cycle based on the invariant

A new method of predicting solar activities has been introduced in this paper. The method can predict both the occurrence time and the maximum number of sunspot at the same time. By studying the variation of sunspot, we find that the combination of the several variables was nearly invariable during the entire solar cydes, as called invariant. And just only by determining the start time of a cycle, we can predict the occurrence time of cycle‘s peak value accurately. Furthermore, according to observational data of the sunspot cycles, it showed that the sunspot maximum number has correlation not only with the prophase variety of the number in the cycle but also with the anaphase of the previous period. So we can introduce an equivalent regression coefficient, which can dynamically self-adapt to different cycle lengths, and effectively solve the inconsistency between the accuracy and the lead-time of the forecast. It can guarantee the satisfied accuracy and effectively increases the lead-time of the forecast. This method can predict the maximum sunspot number for solar cycle at the approximate half rise of the period. This method predicts that the occurrence time of the maximum sunspot number for cycle 24 will be in January 2011.     

QUEUEING NETWORKS WITH INSTANTANEOUS SEQUENTIAL TRANSITIONS

1 IntroductionQueueing networks have been one of the most importallt techniques in the modeling andanalysis of computer, communication, transportation, and Iogistics systems. The first queueingnetwork model was introduced by J..k,..[i'2], in which Jackson considers a network with Nnodes, and transitions of the typex -- x -- ej ek5 i,k = 0,1,'',N, (1)where x = (x1, x2)'' 5 XN) denotes the number of customers at the N nodes, ej is the unitvector with a 1 at the j-th position and 0 elsewh…     

时滞多变量时变系统的最优控制混合仿真研究

应用最优控制理论的极小值原理和参数优化理论 ,叙述了具有常数时滞的多变量时变系统的最优控制算法 ,基于该算法 ,提出了这类系统的数模混合仿真方法和实践方法。混合结果表明 :提出的算法是收敛的 ,且收敛速度优于全数字仿真结果。     

同轴电缆的时域反射技术及其在工程中的应用

通过研究阶跃电压信号因电缆的阻抗变化而引起的反射规律,推导出了在多个强间断变化阻抗的情况下,阻抗的相对变化量与反射电压的关系,以及同轴电缆几何尺寸变化与电缆传输阻抗之间的关系。指出在小变形的假设下,它们之间存在着理想的线性关系。同时,举例说明了同轴电缆的时域反射技术在交通工程中的应用。     

放归鳄蜥昼间活动时间分配的初步研究

2006年5—9月,采用焦点取样法和全事件观察法对放归鳄蜥的昼间活动时间分配进行了初步研究.结果表明:在放归鳄蜥昼间活动时间分配中,在穴占61.02%±30.56%、静栖占36.72%±19.71%、运动占1.55%±0.96%、摄食占0.12%±0.08%、其他行为占0.59%±0.16%.晴天和阴天条件下放归鳄蜥的在穴、静栖、运动、摄食活动时间存在显著性差异(P﹤0.05);圈养鳄蜥和放归鳄蜥的在穴、静栖、摄食活动存在显著性差异(P﹤0.05);雌、雄及亚成体放归鳄蜥间的在穴、静栖、运动活动存在显著性差异(P﹤0.05).结果也表明,长期人工饲养对鳄蜥的摄食活动产生了较大影响.     

基于改进多孔算法的时间序列预测

针对小波分析技术存在的边界问题,提出一种改进的多孔算法。使用该算法得到的系数序列,在具备时移不变性的同时,消除了右侧边界存在数据畸变的现象,使小波分析技术结合神经网络等传统预测模型的方法应用于单变量时间序列预测任务具备可行性。为进一步提高预测精度,引入了神经网络集成技术以改善网络泛化能力。实验表明,这种组合预测模型预测效果与稳定性优于传统预测模型。     

一类时滞免疫反应系统动力学行为仿真

研究一类时滞免疫反应系统在机体清除靶细胞能力对浆细胞增长有影响的情形下的动力学行为,用时滞微分理论证明系统正平衡点的稳定性与时滞的关系,给出其稳定判定方法。在模型解基础上,用仿真方法研究部分参数变化对系统动力学行为的影响,给出了免疫系统呈现不同动力学行为的参数范围,实现免疫系统动态特性的仿真。结果表明,对于给定时滞,免疫反应系统的动力学行为不敏感地依赖于抗体清除抗原速率,而敏感地依赖于抗原繁殖系数。     

不确定大时延下遥操作对象模型的在线修正方法

基于预测模型的遥操作是消减通信大时延的有效方法,预测精度直接影响操作品质。分析了遥操作中的不确定大时延及有限带宽对模型修正的影响,针对模型参数的不确定性,提出了一种新的模型在线修正方法。该方法采用时标标识、同态模型、数据平滑等策略,有效克服了实测信息错配、反馈修正与实时预测过程异步以及变采样步长问题,实现了模型的精确在线修正,提高了预测精度和系统的鲁棒性。通过仿真实验验证了该方法的有效性。     

具有可变抽样区间的二维EWMA控制图

对二维EWMA控制图进行了可变抽样区间设计,利用Markov chain方法计算出了过程的平均报警时间,数据结果显示,所设计的控制图较常规的固定抽样区间控制图能更快更准确地发现过程的变化.