Effects of Strain Rate,Temperature and Grain Size on the Mechanical Properties and Microstructure Evolutions of Polycrystalline Nickel Nanowires: A Molecular Dynamics Simulation

Through molecular dynamics(MD)simulation,the dependencies of temperature,grain size and strain rate on the mechanical properties were studied.The simulation results demonstrated that the strain rate from 0.05 to 2 ns~(–1 )affected the Young’s modulus of nickel nanowires slightly,whereas the yield stress increased.The Young’s modulus decreased approximately linearly;however,the yield stress firstly increased and subsequently dropped as the temperature increased.The Young’s modulus and yield stress increased as the mean grain size increased from 2.66 to6.72 nm.Moreover,certain efforts have been made in the microstructure evolution with mechanical properties association under uniaxial tension.Certain phenomena such as the formation of twin structures,which were found in nanowires with larger grain size at higher strain rate and lower temperature,as well as the movement of grain boundaries and dislocation,were detected and discussed in detail.The results demonstrated that the plastic deformation was mainly accommodated by the motion of grain boundaries for smaller grain size.However,for larger grain size,the formations of stacking faults and twins were the main mechanisms of plastic deformation in the polycrystalline nickel nanowire.     

基于NOMA的认知无线电网络功率分配

考虑采用非正交多址接入(NOMA)技术的认知无线电网络下行链路的功率分配问题,旨在最大化接入系统的次用户数,提升系统的频谱效率.在不影响主用户通信的情况下,对次用户进行合理的功率分配,使得系统接入的次用户数最大化.在系统可用功率未得到充分利用时,考虑在接入系统的次用户间对未利用的功率再次进行功率分配,提升系统的频谱效率.仿真结果显示:当次用户最小速率为2.5 bit·s~(-1),请求接入系统的次用户数为10时,频谱效率可提升13%.     

Hierarchical Community Detection Based on Partial Matrix Convergence Using Random Walks

Random walks are a standard tool for modeling the spreading process in social and biological systems.But in the face of large-scale networks,to achieve convergence,iterative calculation of the transition matrix in random walk methods consumes a lot of time.In this paper,we propose a three-stage hierarchical community detection algorithm based on Partial Matrix Approximation Convergence(PMAC) using random walks.First,this algorithm identifies the initial core nodes in a network by classical measurement and then utilizes the error function of the partial transition matrix convergence of the core nodes to determine the number of random walks steps.As such,the PMAC of the core nodes replaces the final convergence of all the nodes in the whole matrix.Finally,based on the approximation convergence transition matrix,we cluster the communities around core nodes and use a closeness index to merge two communities.By recursively repeating the process,a dendrogram of the communities is eventually constructed.We validated the performance of the PMAC by comparing its results with those of two representative methods for three real-world networks with different scales.     

人类卫生健康共同体视域下的全球科技合作研究——以新冠肺炎疫情为背景

新冠疫情暴发以来,中国政府和人民秉持人类命运共同体理念,运用一系列先进技术,在较短时间内扭转了国内疫情的严峻形势.在此背景下,为了更好地发挥中国方案在全球抗疫中的作用,文章运用内容分析法和归纳分析法,首先梳理了从人类命运共同体到人类卫生健康共同体的理论逻辑,其次探究了人类卫生健康共同体、全球科技合作与疫情防控之间的结构关系,最后分析了中国疫情防控的有效举措,进而得出结论:中国疫情防控工作的成效离不开人类命运共同体理念的指引和全球科技合作的开展,而中国在平台建设、机制整合及合作网络等领域的方案共享将有助于遏制全球疫情的蔓延.     

Speeding Up the GVW Algorithm via a Substituting Method

Journal of Systems Science and Complexity - The GVW algorithm is an efficient signature-based algorithm for computing Gröbner bases. In this paper, the authors consider the implementation of...     

非均匀介质下的可调光流控器件及其生化应用

 探讨了非均匀介质下不同光流控器件及其生化应用。在微流控芯片上，主要从2个方面开发和实现各类具有光波导、透镜、细胞计数、化学检测等功能的新器件。首先，在液液非均匀介质下，通过调节沟道内液体流速，控制液体间的对流扩散来实现液体在微腔内的渐变折射率分布和阶跃分布，从而得到其特殊的光学特性，例如光束分离、弯曲、自聚焦等。其次，在固体非均匀介质下，利用特殊的微流结构与液体相结合，实现更加灵敏可调的新型探测手段。这些新型技术手段分别在生物传感、能源生产、细胞探测及海水检测等诸多应用中可发挥关键性作用。     

ICP-MS法测定黔产枳椇果梗、枳椇子中22种金属元素

建立微波消解-电感耦合等离子体质谱(ICP-MS)法同时分析枳椇果梗、枳椇子中Be、Mg、Al、Ti、V、Cr、Mn、Fe、Co、Ni、Cu、Zn、As、Sr、Mo、Ag、Cd、Sn、Sb、Ba、Tl、Pb等22种元素的含量。样品经微波消解后,利用ICP-MS测定上述22种元素,通过标准曲线计算其含量。实验结果表明,22种元素在其线性范围内线性关系良好,r值0.995;检出限为0.0007～1.0713μg/L;重复性的相对标准偏差(RSD)3%;精密度的相对标准偏差(RSD)7%;回收率为81.14%～112.91%。该方法灵敏度高,重复性好,分析速度快,适用于枳椇果梗、枳椇子中22种元素的含量测定。     

中立型分数阶微分控制系统能控性

研究一类分数阶中立型微分控制系统的能控性问题,对系统状态方程的分析,利用拉普拉斯变换通过基本控制系统的基础解给出了控制系统通解的表达式,并且通过构造格拉姆矩阵,研究了控制系统能控性的充分必要条件;最后通过举出一个格拉姆矩阵的计算举例来进行验证。     

基于改进Faster R-CNN的农田残膜识别方法

为了实现农田残膜的精准捡拾,提高残膜回收机的回收率.将改进Faster R-CNN卷积神经网络运用到农田残膜的识别检测中,提出了一种农田残膜的识别方法.以11MS-1850残膜回收机工作后遗留在农田表面的残膜为研究对象,分别在晴天、阴天不同时间段采集图像共计1648幅.通过更改图像亮度、旋转等方式扩充数据集,最终得到4950幅残膜样本图像,按照7:2:1划分为训练集(3465幅)、验证集(990幅)、测试集(495幅);采用双阈值算法替代传统的单阈值算法,降低了阈值对模型性能的影响;通过对比试验,选取具有残差网络结构的ResNet50作为主干特征提取网络,准确率可达88.84％,召回率为87.70％,总体精度为88.27％;为了使检测模型对小目标更加灵敏,根据数据集中残膜尺寸大小,在原有锚点基础上增加322和642的尺度参数,准确率、召回率、总体精度分别提升了1.29％、0.67％、0.97％,单幅检测时间为284.13 ms,基本满足了识别残膜的要求.可为残膜回收机加装补收装置提供参考,为研制人工智能残膜回收机提供理论基础.