High Efficiency Electrochemiluminescence for Copper(II) and Cadmium(II) Pyrazolate Polymers

Journal of Inorganic and Organometallic Polymers and Materials - Two new coordination polymers, namely, [Cu2(L)2(4,4′-bpy)]n (1) and [Cd(HL)Cl(1,10′-phen)]n (2)...     

SocialRobot: a big data-driven humanoid intelligent system in social media services

The blooming of social media services makes them the attractive resources for publishing and seeking information (posting, reposting and searching tweets) as well as socializing and interacting with other users (following and messaging other users) in social media services. With the increasing number of users and the interacting frequency between users, tremendous user-generated contents are bursting out every day. Hence, users may face a overload of information. To address the above problem, in this paper, we present SocialRobot, a humanoid intelligent system that has been deployed in Sina Weibo. For its socialization characteristic, we naturally implement it as a virtual user in Sina Weibo. By following and interacting with SocialRobot, high-quality and user-interested content can be recommended to the users from the big social media data. And the need for searching specific information can be satisfied by chatting with the SocialRobot. A crowdsourcing evaluation shows the effective performance of the SocialRobot on resolving the information overload.     

Developing a harmonics education facility in a power systemsimulator for power engineering education

This paper describes a newly installed harmonics education facility in detail to teach students about harmonics related problems in a power system. A nonlinear load, which produces harmonic currents, and a harmonic filter, which is a mitigation facility, are merged into an existing power system simulator for advanced power engineering education. The nonlinear load is a widely used three-phase, 6-pulse controlled rectifier. The filter bank is designed to eliminate the characteristic harmonic currents. This paper also shows the resonant condition caused by shunt capacitors which are usually used for power factor correction. Several suggested experiments are given to teach students about harmonics related problems including harmonic sources, measurement, resonance, limitation, and mitigation. The harmonics education facility greatly extends and promotes the performance of the power system simulator     

Probing entropic uncertainty relations under a two-atom system coupled with structured bosonic reservoirs

The uncertainty principle imposes constraints on an observer’s ability to make precision measurements for two incompatible observables; thus, uncertainty relations play a key role in quantum precision measurement in the field of quantum information science. Here, our aim is to examine non-Markovian effects on quantum-memory-assisted entropic uncertainty relations in a system consisting of two atoms coupled with structured bosonic reservoirs. Explicitly, we explore the dynamics of the uncertainty relations via entropic measures in non-Markovian regimes when two atomic qubits independently interact with their own infinite degree-of-freedom bosonic reservoir. We show that measurement uncertainty vibrates with periodically increasing amplitude with growing non-Markovianity of the observed system and ultimately saturates toward a fixed value at a long time limit. It is worth noting that there are several appealing conclusions raised by us: First, the uncertainty’s lower bound does not entirely depend on the quantum correlations within the two-qubit system, being affected by an interplay between the quantum discord and the minimal von Neumann conditional entropy \(\mathcal{S}_\mathrm{ce}\). Second, the dynamic characteristic of the measurement uncertainty is considerably distinctive with regard to Markovian and non-Markovian regimes, respectively. Third, the measurement uncertainty is closely correlated with the Bell non-locality \({\mathcal{B}}\). Moreover, we claim that the entropic uncertainty relation could be a promising tool with which to probe entanglement in current architecture.     

Entropic uncertainty relations in the Heisenberg <Emphasis Type="Italic">XXZ</Emphasis> model and its controlling via filtering operations

The uncertainty principle is recognized as an elementary ingredient of quantum theory and sets up a significant bound to predict outcome of measurement for a couple of incompatible observables. In this work, we develop dynamical features of quantum memory-assisted entropic uncertainty relations (QMA-EUR) in a two-qubit Heisenberg XXZ spin chain with an inhomogeneous magnetic field. We specifically derive the dynamical evolutions of the entropic uncertainty with respect to the measurement in the Heisenberg XXZ model when spin A is initially correlated with quantum memory B. It has been found that the larger coupling strength \( J \) of the ferromagnetism (\( J < 0 \)) and the anti-ferromagnetism (\( J > 0 \)) chains can effectively degrade the measuring uncertainty. Besides, it turns out that the higher temperature can induce the inflation of the uncertainty because the thermal entanglement becomes relatively weak in this scenario, and there exists a distinct dynamical behavior of the uncertainty when an inhomogeneous magnetic field emerges. With the growing magnetic field \( \left| B \right| \), the variation of the entropic uncertainty will be non-monotonic. Meanwhile, we compare several different optimized bounds existing with the initial bound proposed by Berta et al. and consequently conclude Adabi et al.’s result is optimal. Moreover, we also investigate the mixedness of the system of interest, dramatically associated with the uncertainty. Remarkably, we put forward a possible physical interpretation to explain the evolutionary phenomenon of the uncertainty. Finally, we take advantage of a local filtering operation to steer the magnitude of the uncertainty. Therefore, our explorations may shed light on the entropic uncertainty under the Heisenberg XXZ model and hence be of importance to quantum precision measurement over solid state-based quantum information processing.     

基于嵌入式系统的红外通讯解码应用

红外遥控是目前无线通讯中使用较为广泛的一种,具有协议简单、功耗低、适应性强的优点.基于红外遥控的通信协议,提出一种基于嵌入式系统的红外通讯方法,将波形采集和数据分析解码工作各自独立,具有波形采集完整、兼容性高和移植性强等优点.     

一种面向社区型问句检索的主题翻译模型

基于统计机器翻译模型的问句检索模型,其相关性排序机制主要依赖于词项间的翻译概率,然而已有的模型没有很好地控制翻译模型的噪声,使得当前的问句检索模型存在不完善之处.文中提出一种基于主题翻译模型的问句检索模型,从理论上说明,该模型利用主题信息对翻译进行合理的约束,达到控制翻译模型噪声的效果,从而提高问句检索的结果.实验结果表明,文中提出的模型在MAP (Mean Average Precision)、MRR(Mean Reciprocal Rank)以及p@1(precision at position one)等指标上显著优于当前最先进的问句检索模型.     

基于肠道菌群和代谢组学探讨薯蓣粥对糖尿病大鼠糖脂代谢的影响

摘要： 目的 探讨薯蓣粥对2型糖尿病大鼠肠道菌群及相关代谢物的影响。方法 采用高脂饮食联合链脲佐菌素注射建立糖尿病大鼠模型后,随机分为模型组（Model,10 ml·kg-1·d-1生理盐水）、薯蓣粥组（SYZ,12 g·kg-1·d-1）、二甲双胍组（MET,100 mg·kg-1·d-1）、联合用药组（COMB,薯蓣粥+二甲双胍,剂量同上）,另设空白组(CTR, 10 ml·kg-1·d-1生理盐水),持续干预6周。检测各组大鼠体质量、空腹血糖（fasting blood glucose, FBG）和血脂水平,采用16S rRNA和LC-MS检测大鼠肠道菌群和代谢物的变化,Spearman分析构建差异菌群与差异代谢物的关联。结果 与Model组比较,SYZ、MET、COMB组显著降低FBG、TC (total cholesterol, TC)、TG (triglyceride, TG)和LDL-C (low-density lipoprotein cholesterol, LDL-C)水平,而升高HDL-C (high-density lipoprotein cholesterol, HDL-C)水平（P<0.01）,且COMB组FBG、TC和LDL-C水平低于SYZ组（P<0.05）。16S rRNA测序表明,薯蓣粥可以降低厚壁菌门和变形菌门丰度,增加拟杆菌门丰度,且COMB组的F/B比值显著降低(P<0.05),增加乳酸杆菌属、毛螺菌属、罗姆布茨菌属、瘤胃球菌属的丰度,降低异杆菌的丰度。SYZ组的优势菌属包括Clostridiaceae,g_SMB53,Turicibacter,Elusimicrobiaceae等。粪便代谢组学检测出正、负离子模式下SYZ和Model组分别有94种和60种显著性差异代谢物,Spearman分析表明肠道多种益生菌与代谢产物有很强的相关性。结论 薯蓣粥可能通过调节肠道菌群及其代谢物改善T2DM大鼠糖脂代谢紊乱。     

Enhancement of static excitation system performance for generatorsnear electric arc furnace loads

The tuning of static excitation systems (SESs) to enhance the performance of six gas turbine (GT) generators near an electric arc furnace (EAF) feeder has been successfully accomplished. The operation of these EAFs causes severe and long duration voltage fluctuations at the generator bus. Frequent generator tripping was reported when the adjacent EAFs were in operation. Preliminary field measurements and computer simulations indicated that the SESs did not have sufficient damping under this type of voltage fluctuation. By the adjustment of the SES gains and time constants according to the guideline set by the IEEE Standard 421.2, the SES damping can be greatly improved. This has been verified by additional field tests on six GT generation units. Now these generators can be operated very well although the EAFs still cause voltage fluctuation     

Developing static reactive power compensators in a power systemsimulator for power education

This paper describes a newly installed laboratory module microcomputer-based static reactive power compensator (SVC) in detail to teach students how an SVC affects system voltage, load balancing, power factor, and transmission line losses. The SVC is merged into an old power system simulator for extensive power engineering education. The structure of the SVC is thyristor controlled reactors with fixed capacitors (TCR-FC). Two control algorithms, feedback control and feedforward control, are developed and compared. For the purpose of program flexibility and portability, a VME-Bus based microcomputer is used to synthesize the controller of the SVC. Several suggested experiments are given to show the effects of the SVC on distribution system compensation. The SVC greatly promotes the performance of the power system simulator