Anisotropic Superconducting Properties of Kagome Metal CsV_3Sb_5

We systematically measure the superconducting(SC) and mixed state properties of high-quality CsV_3 Sb_5 single crystals with T_c～3.5 K.We find that the upper critical field H_(c2)(T) exhibits a large anisotropic ratio of H_(c2)~(ab)/H_(c2)~c～9 at zero temperature and fitting its temperature dependence requires a minimum two-band effective model.Moreover,the ratio of the lower critical field,H_(c1)~(ab)/H_(c1)~c,is also found to be larger than 1,which indicates that the in-plane energy dispersion is strongly renormalized near Fermi energy.Both H_(c1)(T) and SC diamagnetic signal are found to change little initially below T_c～3.5 K and then to increase abruptly upon cooling to a characteristic temperature of ～2.8 K.Furthermore,we identify a two-fold anisotropy of in-plane angular-dependent magnetoresistance in the mixed state.Interestingly,we find that,below the same characteristic T～2.8 K,the orientation of this two-fold anisotropy displays a peculiar twist by an angle of 60° characteristic of the Kagome geometry.Our results suggest an intriguing superconducting state emerging in the complex environment of Kagome lattice,which,at least,is partially driven by electron-electron correlation.     

圆形工件正次品检验及再加工模型

针对圆形工件合格性检验问题建立了两个优化模型,运用Matlab软件进行编程求解,确定了圆心的位置,据此判断出工件一为正品,工件二为次品.接下来为判断能否将次品经过再加工使其成为正品,建立了模型三,并指出了对工件二的简单再加工方法.     

Common (π,π) Band Folding and Surface Reconstruction in Fe As-Based Superconductors

High resolution angle-resolved photoemission spectroscopy(ARPES) measurements are carried out on CaKFe_4 As_4,KCa_2 Fe_4 As_4 F_2 and(Ba_(0.6)K_(0.4))Fe_2 As_2 superconductors.Clear evidence of band folding between the Brillouin zone center and corners with a(π,π) wave vector has been found from the measured Fermi surface and band structures in all the three kinds of superconductors.A dominant ~(1/2)×~(1/2) surface reconstruction is observed on the cleaved surface of CaKFe_4As_4 by scanning tunneling microscopy(STM) measurements.We propose that the commonly observed ~(1/2)×~(1/2) reconstruction in the FeAs-based superconductors provides a general scenario to understand the origin of the(π,π) band folding.Our observations provide new insights in understanding the electronic structure and superconductivity mechanism in iron-based superconductors.     

正丁基正辛基亚砜萃取Au(Ⅲ)的NMR波谱研究

以亚砜的模型化合物正丁基正辛基亚砜液-液萃取Au(Ⅲ),对萃取剂及萃取配合物的1H NMR、13C NMR波谱特征进行讨论,研究了萃取时萃合物的结构及其动态变化.作者认为有机相中存在Au(Ⅲ)在正丁基正辛基亚砜(BOSO)与配合物之间快速交换的过程,该过程有利于Au(Ⅲ)从水相向有机相转移,也是形成NMR波谱特征的主要原因.核磁共振实验也说明了在两种酸度下Au(Ⅲ)均与亚砜基团中的氧原子配位,但萃取机理有所不同,核磁共振波潜的分析给出了萃取机理的直接证据.     

红外光谱-差示扫描量热法对聚烯烃共聚物中α-烯烃种类与含量的鉴别

利用傅立叶变换红外光谱(FTIR)研究了与不同α-烯烃共聚合的多种聚乙烯,并对共聚物的结构和类型进行了定性分析.由1 378、1 369 cm-1处的峰位置和峰强度判断聚烯烃的种类,由770、 899、784 cm-1处的峰判断α-烯烃的种类.利用差示扫描量热(DSC)热分级方法确定熔融峰的位置,并对共聚物中α-烯烃的含量进行了定量计算.     

超声喷雾电离源的研制与表征

研制了超声喷雾电离源(SSI)。采用核糖核酸A、溶菌酶等样品和商品化的线性离子阱质谱仪对该电离源进行了表征。实验发现,对于生物大分子,超声喷雾电离质谱(SSI-MS)能够获得与电喷雾质谱(ESI-MS)类似的多电荷离子。但与同等条件下ESI-MS所获得的谱图相比,SSI主要获得低价态的多电荷离子。在此基础上,系统考察了SSI-MS各主要操作参数对不同价态蛋白质多电荷离子信号强度的影响,并提出了SSI离子化的可能机理。结果表明,在喷雾气压3.4~3.6 MPa、喷雾口到质谱入口的距离4~6 mm、离子传输管温度250~300℃、样液流速50~100μL/min、2%~5%甲酸酸性且不含甲醇的条件下,各价态蛋白质离子信号强度及信号分布均达到最优;而离子传输管温度越高,喷雾压力越大或溶剂中甲醇等挥发性成分越高,则越有利于低价态离子的形成。     

光谱法研究吲哚美辛,舒林酸及其金属配合物与牛血清蛋白的相互作用

以曙红Y(Eosin Y)为探针,采用竞争结合法考查了非甾体抗炎药吲哚美辛和舒林酸及其相关的金属配合物与BSA的结合。在中性环境中,曙红Y的吸收光谱随着BSA的加入发生明显变化,结果表明,曙红Y与BSA之间的结合以静电作用为主,两者之间可能发生电子转移。曙红Y与BSA结合后,抗炎药吲哚美辛,舒林酸的加入可以破坏这种结合,曙红Y部分游离出来,其吸收值恢复,说明药物可以同样的方式结合到BSA上,抢占曙红Y在BSA上的结合位点。将药物转化为金属配合物后,与血清蛋白的亲和程度更强,铜(Ⅱ)的配合物最为突出,推测将非甾体抗炎药转化为铜配合物后,有更好的药理活性。     

血红蛋白-维生素B6-ONOO-体系的荧光特性及ONOO-分析

在中性pH值的缓冲溶液中,血红蛋白作催化剂,维生素B6与过氧亚硝酸活性氧(ONOO-)发生反应,维生素B6原来位于391 nm处的强烈的荧光发射峰消失,而在384 nm和424 nm处出现了两个新的荧光峰.据此建立了血红蛋白一维生素B6体系高灵敏检测ONOO-活性氧的新方法.方法的线性范围为5.24×10-8～2.62×10-6mol/L,检出限为2.62×10-9mol/L,对1.31×10-7mol/L的ONOO-溶液测定的相对标准偏差为3.75%(n=7).     

A Fault Detection Method for Electrohydraulic Switch Machine Based on Oil-Pressure-Signal-Sectionalized Feature Extraction

A turnout switch machine is key equipment in a railway, and its fault condition has an enormous impact on the safety of train operation. Electrohydraulic switch machines are increasingly used in high-speed railways, and how to extract effective fault features from their working condition monitoring signal is a difficult problem. This paper focuses on the sectionalized feature extraction method of the oil pressure signal of the electrohydraulic switch machine and realizes the fault detection of the switch machine based on this method. First, the oil pressure signal is divided into three stages according to the working principle and action process of the switch machine, and multiple features of each stage are extracted. Then the max-relevance and min-redundancy (mRMR) algorithm is applied to select the effective features. Finally, the mini batch k-means method is used to achieve unsupervised fault diagnosis. Through experimental verification, this method can not only derive the best sectionalization mode and feature types of the oil pressure signal, but also achieve the fault diagnosis and the prediction of the status of the electrohydraulic switch machine.