微流体数字化的科学与技术问题(Ⅱ):物质数字化及物质能量信息统一数字化概念研究

定义的物质数字化是物质自身或相互间的数字化,物质能量信息统一数字化是这三者作为统一体组成部分而协调地各自传输与相互转化的数字化,把数字化界说为微传输与微转化在时间上是节拍化、物理量取值是规整化且该节拍和规整是脉冲序列可控的。阐述了在几何、物理、化学、生物诸方面物质微转化的内容和用途;分析了电效应与流体、化学、生物效应在所述两个数宇化中的互补作用;指出了现有信息数字化和我们的微流体数字化技术为实现两个数字化提供的基础和开辟的道路:指出基础力学体系对微米、纳米系统规模应用的指导意义,认为代表尺寸递减时系统历经3个层次,建议把牛顿力学、量子力学单独指导的第一、第三层次作为现阶段规模应用重点。     

Memory Effects in High-Dimensional Systems Faithfully Identified by Hilbert–Schmidt Speed-Based Witness

A witness of non-Markovianity based on the Hilbert–Schmidt speed (HSS), a special type of quantum statistical speed, has been recently introduced for low-dimensional quantum systems. Such a non-Markovianity witness is particularly useful, being easily computable since no diagonalization of the system density matrix is required. We investigate the sensitivity of this HSS-based witness to detect non-Markovianity in various high-dimensional and multipartite open quantum systems with finite Hilbert spaces. We find that the time behaviors of the HSS-based witness are always in agreement with those of quantum negativity or quantum correlation measure. These results show that the HSS-based witness is a faithful identifier of the memory effects appearing in the quantum evolution of a high-dimensional system with a finite Hilbert space.     

一类二阶三点边值问题无穷多个正解的存在性

利用Krasnosel'skii锥拉伸与锥压缩不动点定理,研究一类二阶三点边值问题u″(t) λa(t)f(t,u(t))=0,0相似文献   

Effect of Cationic Lipid Nanoparticle Loaded siRNA with Stearylamine against Chikungunya Virus

Chikungunya is an infectious disease caused by mosquito-transmitted chikungunya virus (CHIKV). It was reported that NS1 and E2 siRNAs administration demonstrated CHIKV inhibition in in vitro as well as in vivo systems. Cationic lipids are promising for designing safe non-viral vectors and are beneficial in treating chikungunya. In this study, nanodelivery systems (hybrid polymeric/solid lipid nanoparticles) using cationic lipids (stearylamine, C9 lipid, and dioctadecylamine) and polymers (branched PEI-g-PEG -PEG) were prepared, characterized, and complexed with siRNA. The four developed delivery systems (F1, F2, F3, and F4) were assessed for stability and potential toxicities against CHIKV. In comparison to the other nanodelivery systems, F4 containing stearylamine (Octadecylamine; ODA), with an induced optimum cationic charge of 45.7 mV in the range of 152.1 nm, allowed maximum siRNA complexation, better stability, and higher transfection, with strong inhibition against the E2 and NS1 genes of CHIKV. The study concludes that cationic lipid-like ODA with ease of synthesis and characterization showed maximum complexation by structural condensation of siRNA owing to high transfection alone. Synergistic inhibition of CHIKV along with siRNA was demonstrated in both in vitro and in vivo models. Therefore, ODA-based cationic lipid nanoparticles can be explored as safe, potent, and efficient nonviral vectors overcoming siRNA in vivo complexities against chikungunya.     

超导故障限流器的研究现状及其应用

超导故障限流器(Superconducting Fault Current Limiter,SFCL)是利用超导体的基本特性,有效限制电力系统故障短路电流,提高电网安全性和稳定性的一种新型电力设备。文中在综合大量文献的基础上,对超导故障限流器进行了一种较为系统的分类。基于该种分类,结合目前国内外的研究现状,就电阻型、磁屏蔽型、饱和铁芯电抗器型、桥路型SFCL的工作原理作了详细的分析介绍,还给出了它们在电力系统中的安装位置。最后,对超导故障限流器的研究中存在的问题及其发展趋势做了说明。     

多智能体系统对移动放射性辐射源的环绕跟踪

针对多智能体系统对移动放射性辐射源的环绕跟踪问题进行了研究,利用一种全新的方法,证出多智能体系统在有限时间内对移动放射性辐射源群组进行环绕跟踪。通过设计三个不同的分布式估算器分别对辐射源的几何中心、环绕半径以及极角进行估计,最后将得到的估计值为环绕智能体设计分布式控制协议,使得智能体在有限时间内能够将所有辐射源包围在环绕圈内,并实现均匀分布。最后,通过MATLAB仿真验证了控制方案的有效性。     

关于捕食者-食饵系统正周期解存在性的一个反例

举出一个具有时滞和功能反应的两种群捕食者-食饵扩散系统的反例,并证明该系统不存在正的ω-周期解.这个反例说明了,2003年LI Bin-wen在《Ann.of Diff.Eqs.》上得出的结论是错误的.     

一类受到未知外部干扰的多智能体系统学习协同控制

针对一类受到未知外部干扰的多智能体系统,在迭代学习控制框架下,结合自适应控制,首先设计了具有微分型参数自适应律的时变增益,同时,为了补偿未知外部干扰,设计了辅助控制器;通过构造复合能量函数,基于类Barbalat引理,证明了区间[0,T]上的完全一致性.其次,借助坐标变换,将编队问题转化为一致性问题.最后,通过一个仿真...     

不确定离散多时滞系统的模糊动态输出反馈保性能控制

针对一类用T-S模糊模型描述的不确定离散多时滞系统,研究了其动态输出反馈保性能鲁棒控制问题.通过构造一个相应的Lyapunov函数,给出了系统模糊输出反馈保性能控制律存在的一个充分条件和性能上界.并证明了该条件等价于一组线形矩阵不等式的可行性问题.进而,通过建立和求解一个凸优化问题,给出了系统设计次优保性能模糊输出反馈控制律的方法.最后通过一个算例来验证所给结果的有效性.     

基于IRBFNN和IRAN的非线性动态系统在线自适应建模

将资源分配网络算法(RAN)与相似隐单元合并操作、冗余隐单元删除操作和基于滑动数据窗连接权值学习相结合,形成了改进的资源分配网络(IRAN)算法。IRAN算法用于非线性动态系统的在线建模,能有效地改善模型精度和泛化能力。将改进径向基函数(RBF)神经网络(IRBFNN)和IRAN结合可以用于不确定非线性动态系统自适应建模。仿真研究表明:所提出的建模方法在模型精简、泛化和自适应等方面均具有优良的性能。