随机截尾的Warner与Simmons模型

本文在随机截尾模型的基础上,为了提高回答者的合作程度,提出了两种改进的调查敏感性问题数量特征的随机化回答方法。     

Wolmershäuser radicals: Chemistry and materials science

Chemistry and materials science of stable 1,3,2-benzodi-thiazolyls (Wolmershäuser radicals) are discussed. These easily-accessible chromogenic and redox-active compounds are promising building blocks of conductive and magnetic molecular materials including spin-crossover materials. Their comparison with 1,2,3-isomers (Herz radicals), also involved in contemporary materials science, is given.     

沉默策略对囚徒困境博弈合作水平的影响

研究沉默策略对囚徒困境博弈合作水平的影响.在博弈中玩家得到的利益不能达到期望值时,大部分的玩家会选择沉默来避免在博弈中的损失,在下一次的博弈中再选择有利的策略来获取更多的收益.利用矩阵的半张量积方法,建立带有沉默策略的网络化囚徒困境博弈演化的数学模型,并结合逻辑的矩阵表达,将其表示成代数形式.最后讨论博弈的最终合作水平并给出实例.     

基于多维任务驱动下的物理化学实验课程探索*

设计不同维度的课程任务学习单,并将自主探究、协作交流等学习模式引入物理化学实验的实践教学,深入探讨了物理化学实验课程实施翻转课堂的教学模式的研究。整个教学环节包括:课前资源导学、课内知识拓展、课后成效评价。实践表明,翻转课堂有利于提高学生的知识内化能力、分析解决问题能力、合作交流能力以及自学能力,尤其是文献调研的能力有显著提升,该模式取得了较好的教学效果。     

System throughput maximization in IRS-assisted phase cooperative NOMA networks

This work investigates performance of system throughput in intelligent reflecting surfaces (IRSs)-enabled phase cooperative non-orthogonal multiple access (NOMA) framework. By exploiting heterogeneous cognitive radio networks concept the aim is to maximize the sum rate of secondary users in the proposed phase cooperative downlink network configuration via optimization solutions. However, the optimization problem comes out to be NP-hard and precludes direct solution. Hence, an alternating optimization is applied at the primary network to solve the maximization problem by exploiting the transmit beamforming (BF) at the power station (PS) and phase shift optimization at the IRS. Later, sum rate maximization for secondary network is performed by utilizing phase shifts of primary network via phase cooperation. In order to find global optimal solutions for active beamformers at both PSs, a branch-reduce-and-bound (BRnB) method is used whereas, passive phase shift optimization at the primary PS is performed via a simple iterative solution, i.e., the element-wise block coordinate descent method. For the proposed framework, Monte-Carlo simulations are performed where the optimality of the global solution is compared with heuristic BF methods including minimum-mean-square-error/regularized zero-forcing-beamforming (ZFBF) and ZFBF. The BRnB algorithm sets an upper performance bound by improving the sum rate of users in comparison with the conventional heuristic BF schemes. This work signifies the utilization of phase cooperation in IRS-assisted NOMA networks for a multi-user environment.     

A probabilistic model of quantum states for classical data security

The phenomenal progress of quantum information theory over the last decade has substantially broadened the potential to simulate the superposition of states for exponential speedup of quantum algorithms over their classical peers. Therefore, the conventional and modern cryptographic standards (encryption and authentication) are susceptible to Shor’s and Grover’s algorithms on quantum computers. The significant improvement in technology permits consummate levels of data protection by encoding classical data into small quantum states that can only be utilized once by leveraging the capabilities of quantum-assisted classical computations. Considering the frequent data breaches and increasingly stringent privacy legislation, we introduce a hybrid quantum-classical model to transform classical data into unclonable states, and we experimentally demonstrate perfect state transfer to exemplify the classical data. To alleviate implementation complexity, we propose an arbitrary quantum signature scheme that does not require the establishment of entangled states to authenticate users in order to transmit and receive arbitrated states to retrieve classical data. The consequences of the probabilistic model indicate that the quantum-assisted classical framework substantially enhances the performance and security of digital data, and paves the way toward real-world applications.     

Reversible Hydride Migration from C5Me5 to RhI Revealed by a Cooperative Bimetallic Approach

The use of cyclopentadienyl ligands in organometallic chemistry and catalysis is ubiquitous, mostly due to their robust spectator role. Nonetheless, increasing examples of non-innocent behaviour are being documented. Here, we provide evidence for reversible intramolecular C−H activation at one methyl terminus of C₅Me₅ in [(η-C₅Me₅)Rh(PMe₃)₂] to form a new Rh−H bond, a process so far restricted to early transition metals. Experimental evidence was acquired from bimetallic rhodium/gold structures in which the gold center binds either to the rhodium atom or to the activated Cp* ring. Reversibility of the C−H activation event regenerates the Rh^I and Au^I monometallic precursors, whose cooperative reactivity towards polar E−H bonds (E=O, N), including the N−H bonds in ammonia, can be understood in terms of bimetallic frustration.     

大学物理实验“课程思政”的探索与实践——以“金属杨氏模量的测定”为例

在立德树人视域下,江南大学理学院物理实验中心开展了大学物理实验"课程思政"的探索与实践,逐步建立了在实验中思政、在思政中创新、在创新中树人的教学改革模式,取得了丰硕的实践成果.以"金属杨氏模量的测定"为例,呈现了实践课程渗透课程思政,并将之落到实处的具体实施方案.     

面向MOOC平台的课程推荐研究综述

随着互联网技术和在线教育的飞速发展, 目前我国已出现大量线上教育平台, 但这些在线教育平台相互间信息不能共享, 导致课程信息冗余过载, 用户选择困难. 本文综述了近年来课程推荐方面的研究进展, 首先介绍了课程推荐中的相关概念并给出了系统框架; 然后围绕课程建模、用户建模、核心算法3个方面进行探讨, 重点综述了5类算法: 内容推荐、协同过滤、混合推荐、深度学习推荐和多模态融合推荐, 并分析了数据集、实验方法和评价指标; 最后对个性化课程推荐技术进行了总结和展望.     

随机需求条件下不同合作方式的供应链利润分配研究

考虑由一个制造商和一个分销商组成的二级供应链,引入共享契约作为利润再分配的手段,建立了随机需求条件下供应链的Stackberg博弈和张伯伦利润分配模型,研究表明:核心企业制造商可以通过调整利润分配参数使供应链各节点实现共赢,同时在供应链节点企业竞争地位不对等的情况下,采用张伯伦模型的合作方式会使节点利润更优.