Ligand Design in Atomically Precise Copper Nanoclusters and Their Application in Electrocatalytic Reactions

Metal nanoclusters (MNCs) are compositionally well-defined and also structurally precise materials with unique molecule-like properties and discrete electronic energy levels. Atomically precise ligand-protected Cu nanoclusters (LP-CuNCs) are one category of typical MNCs that usually demonstrate unique geometric and electronic structures to serve as electrocatalysts. However, the synthesis, application, as well as structure-performance relationship of LP-CuNCs are not adequately studied. Significantly, the ligands are essential to the geometric structure, crystal structure, size, and electronic structure of LP-CuNCs, which determine their physiochemical properties and applications. In this review, significant progress in the ligand design of LP-CuNCs, and their application in electrocatalytic reactions is introduced. The general basics of ligand-protected MNCs (LP-MNCs) are first introduced and the functions of ligands are emphasized. Subsequently, a series of different ligands for LP-CuNCs including thiolates, phosphines, alkynyl, polymers, and biomolecules are highlighted. Thereafter, their applications in different electrocatalytic reactions are discussed. It is believed that this review will not only inspire the design and synthesis of novel LP-CuNCs, but also contribute to the extension of their applications in electrocatalytic reactions and the establishment of accurate structure-performance relationships.     

基于改进深度强化学习的虚拟网络功能部署优化算法

针对网络功能虚拟化/软件定义网络(NFV/SDN)架构下,网络服务请求动态到达引起的服务功能链(SFC)部署优化问题,该文提出一种基于改进深度强化学习的虚拟网络功能(VNF)部署优化算法.首先,建立了马尔科夫决策过程(MDP)的随机优化模型,完成SFC的在线部署以及资源的动态分配,该模型联合优化SFC部署成本和时延成本,同时受限于SFC的时延以及物理资源约束.其次,在VNF部署和资源分配的过程中,存在状态和动作空间过大,以及状态转移概率未知等问题,该文提出了一种基于深度强化学习的VNF智能部署算法,从而得到近似最优的VNF部署策略和资源分配策略.最后,针对深度强化学习代理通过ε贪婪策略进行动作探索和利用,造成算法收敛速度慢等问题,提出了一种基于值函数差异的动作探索和利用方法,并进一步采用双重经验回放池,解决经验样本利用率低的问题.仿真结果表示,该算法能够加快神经网络收敛速度,并且可以同时优化SFC部署成本和SFC端到端时延.     

Infective endocarditis complicated with rapidly progressive glomerulonephritis: a case report

Despite a general national decline in criminal activities in the 1990s, juvenile criminal offenses continue to increase, (including violent, property, and delinquency acts). In addition increased numbers of children are being held in juvenile jails. It is all but impossible for pediatric health providers to think that "their patients" and "their practices" are immune from the epidemic of crime that affects and is caused by "just kids."     

成组更换策略下的备件库存决策仿真研究

针对成组更换策略下备件需求的特点,建立了无限使用期的成组更换策略与备件库存控制联合优化仿真模型。该模型通过模拟系统在预防维修间隔期T内的维修活动,得到1个预防维修间隔期内的总费用,然后在系统运行M(M足够大)个周期下,以期望单位时间总费用最小为目标,优化预防维修间隔期T和最大库存水平S。最后,基于案例,运用MATLAB对模型进行仿真优化计算,并分析了相关参数对模型优化结果的影响。     

关于模糊C-均值（FCM）聚类算法的改进

针对模糊C-均值（FCM）聚类算法的容易收敛于局部极值的不足,提出了一种改进的模糊FCM聚类算法,此新算法在聚类中心选取和优化过程中进行了充分的考虑,是一种用于确定最佳聚类数的聚类算法,并且利用了分阶段思想,结合动态直接聚类算法和标准聚类算法,来尽量避免模糊C-均值（FCM）聚类算法的不足。新算法与传统（FCM）聚类算法方法相比,提高了算法的寻优能力,并且迭代次数更少,在准确度上也有较大的提高,具有很好的实际应用价值。     

基于VCG机制的无线网络呼叫接入控制算法

提出一种基于VCG机制的无线网络呼叫接入控制（CAC）算法。该算法采用VCG机制调节用户需求,控制资源分配,以实现资源合理使用。CAC算法适合于无线接入网络中多业务服务、多优先级服务的情况。仿真结果表明,将VCG机制与CAC算法结合,能较好地改善无线网络性能,提高系统连接级的QoS。     

基于矢量方法的图像预处理及其应用

图像预处理是图像处理中量之间的内在联系,具有保边缘、细节和抑制颜色偏差的优点,而且计算量小、算法简单、易于实现.将该方法应用于眼底图像中,取得了令人满意的效果,为眼底图像的后续处理奠定基础.     

Vehicle actuation based short-term traffic flow prediction model for signalized intersections

Traffic flow prediction is an important component for real-time traffic-adaptive signal control in urban arterial networks. By exploring available detector and signal controller information from neighboring intersections, a dynamic data-driven flow prediction model was developed. The model consists of two prediction components based on the signal states (red or green) for each movement at an upstream intersection. The characteristics of each signal state were carefully examined and the corresponding travel time from the upstream intersection to the approach in question at the downstream intersection was predicted. With an online turning proportion estimation method, along with the predicted travel times, the anticipated vehicle arrivals can be forecasted at the downstream intersection. The model performance was tested at a set of two signalized intersections located in the city of Gainesville, Florida, USA, using the CORSIM microscopic simulation package. Analysis results show that the model agrees well with empirical arrival data measured at 10 s intervals within an acceptable range of 10%–20%, and show a normal distribution. It is reasonably believed that the model has potential applicability for use in truly proactive real-time traffic adaptive signal control systems.     

适应用户需求变化的前摄推荐模型

为了减少前摄推荐对用户当前活动可能产生的干扰,提出一种适应用户接受度变化的前摄推荐模型,感知用户对系统主动的信息推送是否有潜在需求以及需求的波动性,以提高用户体验。使用接受度向量来评估用户对信息推送的需求,应用决策树算法对用户历史上下文进行规则推理,形成用户对上下文推荐的接受度向量,并根据上下文变化和用户反馈来调整推荐接受度向量。试验结果表明,模型能够响应用户对推荐的动态变化,有助于改善用户体验。     

基于预传输的虚拟机双机热备可用性研究

针对虚拟机双机热备中传统拷贝技术导致的虚拟机低可用性问题,提出一种基于分段挑选最近未使用(SSNUR)算法的预传输方法。在虚拟机运行阶段预先传输被使用的内存页,减少停机阶段需要拷贝的内存页数量,使用SSNUR算法挑选预传输页面,以降低预传输和停机传输的重复率。实验结果表明,与XEN4.0中典型的虚拟机双机热备系统Remus相比,基于预传输的Remus系统在重负载和长间隔时间状态下停机时间明显减少,最高可达23.37%。