A Novel Self‐assembled Nickel(II)‐Cerium(III) Heterotetranuclear Dimer Constructed from N2O2‐type Bisoxime and Terephthalic Acid: Synthesis,Structure, and Photophysical Properties

By self‐assembly of a Salamo‐type ligand H₂L [H₂L = 1,2‐bis(3‐methoxysalicylideneaminooxy)ethane] with Ni(OAc)₂ · 4H₂O, Ce(NO₃)₃ · 6H₂O, and H₂bdc (H₂bdc = terephthalic acid), a novel Ni^II‐Ce^III heterometallic complex, [{Ni(L)Ce(NO₃)₂(CH₃OH)(DMF)}₂(bdc)], was obtained. Two crystallographically equivalent [Ni(L)Ce(NO₃)₂(CH₃OH)(DMF)] moieties lie in the inversion center, and are linked by one bdc^2– ligand leading to a heterotetranuclear dimer, in which the carboxylato group bridges the Ni^II and Ce^III atoms. Moreover, the photophysical properties of the Ni^II‐Ce^III complex were studied.     

槲皮素在溶液中的化学交换和自扩散运动

通过对溶于氘代二甲亚砜（DMSO d6）中的槲皮素的自扩散系数和槲皮素羟基质子与溶剂中水质子之间的交换速率常数的NMR测量,研究了交换速率常数与扩散系数随温度和含水量的变化情况.结果表明,化学交换与扩散系数是相互独立的两种运动,活泼质子的化学交换并不需要通过槲皮素分子的扩散而进行.但是活泼质子的表观扩散系数却显著地受化学交换的影响.当以活泼质子为对象时,这种影响需要引起足够的重视.     

烧结型NdFeB永磁体表面有机纳米复合膜的制备及性能

采用自组装分子膜技术在烧结型NdFeB永磁体表面制备了三嗪硫醇三乙基硅烷(TES)自组装分子膜(TES-SAMs), 在TES-SAMs的基础上利用自主开发的有机镀膜技术制备了具有含氟官能团的三嗪硫醇(ATP)有机纳米复合薄膜(TES-ATP). 通过X射线光电子能谱仪(XPS)、傅里叶变换红外(FTIR)光谱仪、椭圆偏振光谱仪、原子力显微镜(AFM)和接触角测量仪对薄膜的表面状况进行评价, 使用UMT-2型摩擦磨损试验机研究TES-SAMs和TES-ATP的微摩擦学性能. 研究结果表明: TES-SAMs和TES-ATP的膜厚分别是5.08和29.78nm; 表面自由能从基体的73.13 mJ·m^-2下降到TES-SAMs的63.69 mJ·m^-2和TES-ATP复合膜的10.19 mJ·m^-2, 且TES-ATP复合膜对蒸馏水的接触角为123.5°, 成功实现了NdFeB表面由亲水到疏水的转换.TES-SAMs和TES-ATP均能有效降低摩擦系数, TES-SAMs的摩擦系数为0.22, TES-ATP的摩擦系数为0.12, 而基体的摩擦系数为0.71; 同时, TES-ATP还表现出良好的抗磨性能. TES-ATP复合膜为微机电系统中的摩擦磨损问题的解决提供了一种新思路.     

4-巯基吡啶自组装修饰金电极的电化学性质及对抗坏血酸的测定

研究了 4 巯基吡啶自组装膜 (SAM)修饰金电极的制备及其电化学性质 ,并用于抗坏血酸 (AA)的测定。在pH 3.0盐酸 邻苯二甲酸氢钾缓冲溶液中 ,AA在SAM修饰金电极上产生一灵敏的氧化峰 ,峰电流与AA浓度在 4 .0× 10 - 6 ～ 1.0× 10 - 3mol L范围内呈良好的线性关系 ,检出限为 2 .7× 10 - 6 mol L ,相关系数为0 9978。该电极对多巴胺 (DA)有排斥作用 ,重现性良好 ,可用于AA的灵敏测定。     

中性溶质在电色谱进样过程中的自富集作用

从理论上探讨了溶质在柱头产生的自富集作用过程,说明了进样时间及流动相组成对富集效果的影响规律,并以安息香和美芬妥因两种药物为例对理论加以验证.结果表明,较好地控制实验条件,在基本不影响柱效的情况下,可以达到十余倍的自富集效果.     

大型海湾水交换计算中随机游动方法的应用研究

水交换矩阵是反映大型海湾不同子区域之间水交换关系的有效工具,该文对随机游动方法在水交换矩阵计算中的应用进行了研究．通过与对流扩散模型的对比,指出用随机游动方法计算水交换矩阵比用对流扩散方程求解更快更灵活．同时,为了对不同区域之间的水交换特性进行长期快速预测,采用了Thompson提出的预测矩阵方法．通过理论分析得出,影响该矩阵预测效果的因素主要有:粒子数目、分区数和预测矩阵取值时间．以一个矩形海湾为例,将数值模拟结果和预测矩阵预测结果进行对比,分析了以上各因素对预测效果的影响．结果表明,粒子数目越多,预测矩阵取值时间越长,预测矩阵的预测效果越好．在粒子数目足够多的情形下,分区数越多,预测效果越好．相反,粒子数目如果较少,过多的分区数将可能导致预测矩阵效果太差而不可用．     

Fixed points of smoothing transformation in random environment

At each time n\in \mathbb{N},\mathrm{l}\mathrm{e}\mathrm{t}{\overline{Y}}^{(n)}(\xi )=(y_1^{(n)}(\xi ),y_2^{(n)}(\xi ),\cdots ) be a random sequence of non-negative numbers that are ultimately zero in a random environment\xi \text{=}（{\xi }_n{）}_{n\in \mathbb{N}}. The existence and uniqueness of the nonnegative fixed points of the associated smoothing transformation in random environment are considered. These fixed points are solutions to the distributional equation for a.e.\xi ,Z(\xi )\stackrel{\text{d}}{=}{\sum }_{i\in \mathbb{N}+}{y}_i^{(\mathrm{0})}(\xi )Z_i^{(\mathrm{1})}(\xi ),where ｛Z_i^{(\mathrm{1})}:i\in {\mathbb{N}}_{+}｝ are random variables in random environment which satisfy that for any environment\xi; under P_{\xi }; ｛Z_i^{(\mathrm{1})}:i\in {\mathbb{N}}_{+}｝are independent of each other and {\bar{Y}}^{(\mathrm{0})}(\xi ), and have the same conditional distribution P_{\xi }(Z_i^{(1)}(\xi )\in \cdot )=P_{T\xi }(Z(T\xi )\in \cdot ) where T is the shift operator. This extends the classical results of J. D. Biggins [J. Appl. Probab., 1977, 14: 25-37] to the random environment case. As an application, the martingale convergence of the branching random walk in random environment is given as well.     

TLP-CCC: Temporal Link Prediction Based on Collective Community and Centrality Feature Fusion

In the domain of network science, the future link between nodes is a significant problem in social network analysis. Recently, temporal network link prediction has attracted many researchers due to its valuable real-world applications. However, the methods based on network structure similarity are generally limited to static networks, and the methods based on deep neural networks often have high computational costs. This paper fully mines the network structure information and time-domain attenuation information, and proposes a novel temporal link prediction method. Firstly, the network collective influence (CI) method is used to calculate the weights of nodes and edges. Then, the graph is divided into several community subgraphs by removing the weak link. Moreover, the biased random walk method is proposed, and the embedded representation vector is obtained by the modified Skip-gram model. Finally, this paper proposes a novel temporal link prediction method named TLP-CCC, which integrates collective influence, the community walk features, and the centrality features. Experimental results on nine real dynamic network data sets show that the proposed method performs better for area under curve (AUC) evaluation compared with the classical link prediction methods.     

基于无消相干子空间的量子避错码设计

针对量子系统的联合消相干模型,可以找到一些不受消相干错误影响的系统状态,这种状态被称为相干保持态,所有相干保持态构成的空间就称为无消相干子空间(decoherencefreesubspace,缩写为DFS).利用DFS的特性可以实现自动容错的量子避错码.首先提出一种DFS的定义,并且以定理的形式证明其他DFS的定义都是等价的.然后给出了DFS的存在性定理.最后利用群论的方法设计一种构造DFS的简单方法 关键词： 相干保持态 无消相干子空间 量子避错码 容错量子计算