Network reconstruction from binary-state time series in presence of time delay and hidden nodes

Complex networks with binary-state dynamics represent many meaningful behaviors in a variety of contexts. Reconstruction of networked systems hosting delayed binary processes with hidden nodes becomes an outstanding challenge in this field. To address this issue, we extend the statistical inference method to complex networked systems with distinct binary-state dynamics in presence of time delay and missing data. By exploiting the expectation-maximization (EM) algorithm, we implement the statistical inference based approach to different (i.e., random, small world, and scale-free) networks hosting delayed-binary processes. Our framework is completely data driven, and does not require any a prior knowledge about the detailed dynamical process on the network; especially, our method can independently infer each physical connectivity and estimate the time delay solely from the data of a pair of nodes in this link. We provide a physical understanding of the underlying mechanism; and extensive numerical simulations validate the robustness, efficiency, and accuracy of our method.     

Research on detection method of multi-frequency weak signal based on stochastic resonance and chaos characteristics of Duffing system

Weak signal detection has been widely used in many fields such as military and national economy. Aiming at the problem that the traditional stochastic resonance (SR) method can’t obtain the signal amplitude when detecting weak signals, the frequency and amplitude of the weak signal are obtained by combining the SR and chaos characteristics of the two-dimensional Duffing system. Firstly, the effects of two-dimensional Duffing system parameters a, b, k, noise intensity D on the Kramers rate and signal-to-noise ratio (SNR) are analyzed under the Gaussian white noise environment. The results show that the damping ratio K can hinder the SR effect of the system to some extent. Secondly, to solve the misjudgment of the state method of the weak signal amplitude in the detection, the Lyapunov exponent is used to assure the threshold's range, and the threshold of the chaotic critical state is found. Finally, the paper gives the processes of frequency and amplitude detection of multiple high-frequency signals, which realizes the effective detection of the frequency and amplitude of multiple high-frequency signals in a Gaussian white noise environment, and successfully applies the method to the accurate detection of boundary voltage amplitude in electrical impedance tomography.     

100kV直流高温超导电缆终端应力锥设计

本文提出了一种新的单直线应力锥设计方法,根据PPLP材料的绝缘特性,结合超导电缆的本体尺寸和设计电压,给出了增饶绝缘厚度和应力锥轴向长度的设计数据,其中增饶绝缘厚度为3.5 mm,应力锥轴向长度为38.5 mm,并对单直线应力锥进行电场数值分析,结果表明,所设计的单直线应力锥满足100 kV直流高温超导电缆运行要求。     

电感耦合等离子发射光谱法测定铁基粉末冶金中的钙元素

利用电感耦合等离子发射光谱法（ICP-OES）测定铁基粉末冶金中的钙元素.通过调整酸度配比和消除干扰因素，采用外标法定量消除基体效应的影响，同时共存元素的干扰校正试验表明，样品中共存元素对待测元素无干扰影响.通过对样品消解进行前处理优化，结果表明:在样品中加入王水后在电热板上加热，消解后滴加双氧水，使用ICP-OES测定，能获得良好的定量结果.在0.5~10 mg/L范围内具有较好的线性关系，其线性相关系数为0.999 9，方法精密度的RSD为0.14%（n=10），加标回收率为98%~105%.方法具有经济、快速、简单且重现性好等特点，可以满足日常分析检测要求.     

Leibniz Conformal Algebras of Rank Two

We classify all Leibniz conformal algebras of rank two.     

Global Regularity of the Logarithmically Supercritical MHD System in Two-dimensional Space

In this paper, we study the global regularity of logarithmically supercritical MHD equations in $2$ dimensional, in which the dissipation terms are $-\mu\Lambda^{2\alpha}u$ and $-\nu\mathcal{L}^{2\beta} b$. We show that global regular solutions in the cases $0<\alpha<\frac{1}{2},\beta>1,3\alpha+2\beta>3$.     

西北太平洋表层沉积物地球化学特征及其物源指示意义

为深入了解西北太平洋表层沉积物地球化学特征及物质来源，对大洋40航次在西北太平洋马尔库斯-威克海山区采集的表层沉积物进行了全岩地球化学和黏土矿物测试分析。结果表明，研究区表层沉积物稀土元素（REE)平均质量分数为302.87×10^-6，北美页岩标准化稀土配分模式与黄土相似，并具Ce轻微负异常和Eu无异常特征。稀土配分模式、判别函数（discriminant functions,DF）、M/I（蒙脱石/伊利石）及涂片鉴定等结果指示沉积物物源具有多源性，主要为陆源风尘物质，并受海洋自生物质的强烈影响，海山玄武岩及其蚀变产物和硅质生物也有一定的贡献。研究区沉积物稀土特征既不同于边缘海沉积物，也有别于远洋沉积物，而与弧后盆地沉积物类似。结合1/δCe-LREE/HREE和LREE/HREE-Y/Ho判别图解结果，研究区沉积物物源结构属性应介于边缘海沉积物与远洋沉积物之间，为洋陆过渡区沉积。     

饮用水中三氯甲烷与其他氯消毒副产物在活性炭上的吸附竞争研究

通过等温吸附实验，探究了三氯甲烷（CHCl₃）与二氯一溴甲烷（CHBrCl₂）、二氯乙酸（Cl₂CHCOOH）在活性炭上的竞争吸附关系，同时探究了在低浓度条件下CHBrCl₂和Cl₂CHCOOH浓度变化对活性炭吸附CHCl₃的影响。实验结果表明，活性炭吸附CHCl₃和CHBrCl₂符合Freundlich模型，对Cl₂CHCOOH的吸附符合Langmuir模型；活性炭对3种消毒副产物均为优先吸附，吸附能力由大到小依次为CHBrCl₂、CHCl₃、Cl₂CHCOOH；低浓度条件下，活性炭对消毒副产物的吸附效果随体系中物质种类的增加而降低；低浓度条件下，Cl₂CHCOOH的浓度变化对CHCl₃的吸附效果影响不大，但吸附效果随水体中CHBrCl₂浓度的升高而降低。     

基于SVM的固化土无侧限抗压强度模型

为实现较少试验次数下固化土无侧限抗压强度(qu)的准确预测, 提出了基于支持向量机(SVM)的固化土qu的预测模型. 以固化剂各组分掺入比、龄期、初始含水量、固化剂掺量等因素为输入量, 固化土的qu作为输出量, 以径向基为核函数, 采用网格搜索法和交叉验证法进行参数优化, 建立了基于SVM的固化土qu的预测模型. 算例分析表明: 该模型适用于任意条件下固化土qu的精确预测, 且在较小试验成本下实现与响应面法相当的预测精度.     

面向仿真数据的电网运行方式可视分析

对真实电网提出故障发生的假设并通过计算检验，观察故障对真实电网的影响。电网仿真能有效发现电网运行中的问题，被广泛应用于电网规划与电网运行方式调整。然而，在实际仿真计算过程中，往往需要依据经验调整电网配置和计算参数，以得到稳定、收敛的电网运行方式。大规模的仿真数据、调整的未知性加之分析的片面性会影响传统人工调整的准确性，为此提出了基于可视化的仿真计算调整方法。分析人员通过与可视分析系统的交互，可以快速认识电网的整体状态，发现问题元件，从而实现高效的仿真调整与计算。最后通过案例分析验证了本可视分析系统的有效性。