A Novel Method for Pattern Recognition of GIS Partial Discharge via Multi-Information Ensemble Learning

Partial discharge (PD) is the main feature that effectively reflects the internal insulation defects of gas-insulated switchgear (GIS). It is of great significance to diagnose the types of insulation faults by recognizing PD to ensure the normal operation of GIS. However, the traditional diagnosis method based on single feature information analysis has a low recognition accuracy of PD, and there are great differences in the diagnosis effect of various insulation defects. To make the most of the rich insulation state information contained in PD, we propose a novel multi-information ensemble learning for PD pattern recognition. First, the ultra-high frequency and ultrasonic data of PD under four typical defects of GIS are obtained through experiment. Then the deep residual convolution neural network is used to automatically extract discriminative features. Finally, multi-information ensemble learning is used to classify PD types at the decision level, which can complement the shortcomings of the independent recognition of the two types of feature information and has higher accuracy and reliability. Experiments show that the accuracy of the proposed method can reach 97.500%, which greatly improves the diagnosis accuracy of various insulation defects.     

Facile Fabrication of 1-Methylimidazole/Cu Nanozyme with Enhanced Laccase Activity for Fast Degradation and Sensitive Detection of Phenol Compounds

Facile construction of functional nanomaterials with laccase-like activity is important in sustainable chemistry since laccase is featured as an efficient and promising catalyst especially for phenolic degradation but still has the challenges of high cost, low activity, poor stability and unsatisfied recyclability. In this paper, we report a simple method to synthesize nanozymes with enhanced laccase-like activity by the self-assembly of copper ions with various imidazole derivatives. In the case of 1-methylimidazole as the ligand, the as-synthesized nanozyme (denoted as Cu-MIM) has the highest yield and best activity among the nanozymes prepared. Compared to laccase, the K_m of Cu-MIM nanozyme to phenol is much lower, and the v_max is 6.8 times higher. In addition, Cu-MIM maintains excellent stability in a variety of harsh environments, such as high pH, high temperature, high salt concentration, organic solvents and long-term storage. Based on the Cu-MIM nanozyme, we established a method for quantitatively detecting phenol concentration through a smartphone, which is believed to have important applications in environmental protection, pollutant detection and other fields.     

Tailoring Pore Structure and Morphologies in Covalent Organic Frameworks for Xe/Kr Capture and Separation

As a rising star among porous solid materials, covalent organic frameworks(COFs) with excellent properties including but not limit to facilely controllable structure, high porosity, and multi-chemical functionality represent significant potential for efficient ¹²⁷Xe/⁸⁵Kr capture and separation. In this study, through tuning the length of the organic ligands, two-dimensional(2D) COF mate-rials with identical connection group but different pore properties, denoted as ATFG-COF and TpPa-COF with AA-stacking model and TpBD-COF with AB-stacking model were synthesized and tested for Kr and Xe adsorption for the first time. Adsorption measurements indicate that the narrower pore apertures and higher porosity are conducive for COF materials to capture Xe and Kr. Furthermore, the Henry's constant, isosteric heat of adsorption(Q_st), and ideal adsorbed solution theory(IAST) selectivity of ATFG-COF, the pore size of which is closest to the kinetic diameter of the Xe atom(0.41 nm) among 2D COF materials, were carried out based on the single component sorption isotherms. The results illustrate that the high isosteric heat values of Xe/Kr adsorption on ATFG-COF are 25 and 16 kJ/mol at room temperature, respectively. Henry's law predicts that the selectivity factor of Xe to Kr is 6.07, consistent with the adsorption selectivity(ca. 6) calculated based on the IAST.     

Precise electro-reduction of alkyl halides for radical defluorinative alkylation

Reported here is a precise electro-reduction strategy for radical defluorinative alkylation towards the synthesis of gem-difluoroalkenes from α-trifluoromethylstyrenes. According to the redox-potential difference of the radical precursors, direct or indirect electrolysis is respectively adopted to realize the precise reduction. An easy-to-handle, catalyst-and metal-free condition is developed for the reduction of alkyl radical precursors that are generally easier to be reduced than α-trifluorome...     

在役老旧拱桥的极限承载力分析

在役老旧拱桥的承载力是人们关心的热点问题之一,某些桥梁随着使用年限的不断增加,拱肋以及其他结构部件变形甚至破坏,其承载能力削弱问题会变得尤为突出．以宁波市灵桥为例详细分析了其极限承载力,分析过程中考虑了材料和几何双重非线性,以及涉及到灵桥由于战争、船体碰撞、行车事故和其他意外事故引起的拱肋变形和扭曲情况．计算结果表明：拱肋面外的初始变形极大地削弱了灵桥的极限承载能力;要准确评估该桥的极限承载能力,必须考虑材料非线性和几何非线性的影响．     

呋喃唑酮在凡纳滨对虾组织中代谢动力学研究

运用液相色谱-串联质谱法研究了呋喃唑酮药饵多次给药后在凡纳滨对虾体内的药物代谢动力学.研究结果表明：呋喃唑酮代谢物在血淋巴、肝胰脏、肌肉组织中的代谢过程均符合二室模型,其动力学方程分别为C血液=414.107×e^-0.092t＋124.451×e^-0.005t,C肝胰腺=1625.563×e^-0.019t＋125.700,C肌肉=120.434×e^-0.019t＋71.579×e^-0.001t.凡纳滨对虾血淋巴和肝胰腺中呋喃唑酮代谢物浓度在4h达到高峰,肌肉中药物浓度在2h达到最大值;最高峰时血淋巴、肝胰腺和肌肉中药物浓度平均为570.6μg·L^-1、1948.6μg·kg-1和210.0μg·kg-1.在血淋巴、肝胰腺和肌肉组织中呋喃唑酮代谢物浓度的吸收半衰期（t1/2α）分别为7.497h、36.206h和36.484h,消除半衰期（t1/2β）分别为132.525 h、1 000 479.217 h和505.637 h,总表观分布容积（V1/F）分别为55.775 L·kg^-1、17.16 L·kg^-1和161.574L·kg^-1.说明给药后呋喃唑酮代谢物在凡纳滨对虾体内消除缓慢,残留严重,尤其以肝胰脏残留最为明显.     

光子四维量子态隐形传输

多维量子纠缠态比二维纠缠态可加载更多的信息,多维量子系统是量子信息处理中一个很重要的资源.本文采用已实现的光子四维纠缠态,给出了光子四维量子态的张量表达式,并描述了四维量子态隐形传输的一般表示方法;通过讨论光子四维量子态系统的量子通道参数矩阵和测量矩阵的特性,得到实现完全传输和非零概率传输的充要条件.最后,本文给出在多种量子通道下的四维态的量子隐形传态方案,这一过程在张量分析表示下十分清晰明了.     

Structural Stabilities of Ordered Arrays of Nb4 Clusters on NaCI（IO0） Surface

Adsorption of ordered （2 × 2） arrays of Nb4 clusters on the insulating surface of NaCI（100） is studied by the first-principles calculations within the density functional theory. The calculations on the relaxed geometries and cohesive energies show that both the tetrahedron and quadrangle-Nb4 can be stably adsorbed on this substrate, which may have important applications. The adsorption of quadrangle-Nb4 on the NaCl（100） surface is more stable than that of tetrahedron-Nb4. Both the Nb4 clusters studied and a single Nb atom prefer the top site of the Cl atom in the NaCl（100） surface. Electronic structure analysis suggests that the interactions between the Nb4 clusters and the substrate are weak.     

人体静电放电对有机发光二极管的影响

研究了静电放电（ESD）人体模式（HBM）下的脉冲应力对有机发光二极管（OLED）的性能及寿命的影响,并讨论了相应的物理机制。对比分析了4组OLED在施加ESD放电为0,200,800,1 600 V前后的电学和光学特性,并进行了相应的寿命测试分析。研究发现,OLED器件的光谱对ESD不敏感,随着冲击电压的增大,由于静电打击对载流子的短期抑制效应,OLED的亮度出现轻微下降。在静电冲击电压为200 V和800 V时,伏安特性没有发生变化;当静电冲击电压增至1 600 V时,反向漏电有明显增加。后续的加速寿命实验表明,静电打击对器件的工作寿命没有明显的规律性影响,但是会一定程度提高非本质老化失效的概率。     

天然紫杉烷类化合物的核磁共振氢谱特征

在系统分析天然紫杉烷类化合物核磁共振氢谱的基础上，对具有不同骨架类型的天然紫杉烷类二萜化合物的核磁共振氢谱的特征进行了总结, 提供了部分不同类型的紫杉烷类化合物的核磁共振氢谱图. 这些¹H NMR特征对于紫杉烷类化合物的结构确定非常有益.