EFFECT OF Si CONTENT ON ORDERING DEGREE AND ELECTROMAGNETIC CHARACTERISTICS IN FeSiAl ALLOYS

FeSiAl alloys ribbons synthesized by melt-quench were annealed in vacuum at 873 K for 60 rain. The flaky powders were prepared by milling the annealed ribbons for 70 h. After milling, the powders were heat treated at 573 K for 90 rain. The ordering degree of the powders lattice structure was analyzed by X-ray diffraction （XRD）. The measurement of specific saturation magnetization was carried out by vibrating samples magnetometer （VSM）. Complex permittivity and complex permeability in the frequency band of 0.5-18 GHz were measured with the vector network analyzer. The ordering degree of the superlattice structure increased from 0.2＇7 to 0.49. Complex permittivity and complex permeability decreased with increasing Si content. After ordering, the specific saturation magnetization decreased from 134.2 to 85.0 A.m2.kg-1. For use in anti-EMI material, the total contents of Si and Al in FeSiAl alloys should be controlled at a low level.

Solutions of Seventh Order Boundary Value Problems Using Ninth Degree Spline Functions and Comparison with Eighth Degree Spline Solutions

In this article, we develop numerical method by constructing ninth degree spline function using extended cubic spline Bickley’s method to find the approximate solution of seventh order linear boundary value problems at different step lengths. The approximate solution is compared with the solution obtained by eighth degree splines and exact solution. It has been observed that the approximate solution is an excellent agreement with exact solution. Low absolute error indicates that our numerical method is effective for solving high order linear boundary value problems.

Pedestrian lane formation with following–overtaking model and measurement of system order

Pedestrian self-organizing movement plays a significant role in evacuation studies and architectural design.Lane formation,a typical self-organizing phenomenon,helps pedestrian system to become more orderly,the majority of following behavior model and overtaking behavior model are imprecise and unrealistic compared with pedestrian movement in the real world.In this study,a pedestrian dynamic model considering detailed modelling of the following behavior and overtaking behavior is constructed,and a method of measuring the lane formation and pedestrian system order based on information entropy is proposed.Simulation and analysis demonstrate that the following and avoidance behaviors are important factors of lane formation.A high tendency of following results in good lane formation.Both non-selective following behavior and aggressive overtaking behavior cause the system order to decrease.The most orderly following strategy for a pedestrian is to overtake the former pedestrian whose speed is lower than approximately 70%of his own.The influence of the obstacle layout on pedestrian lane and egress efficiency is also studied with this model.The presence of a small obstacle does not obstruct the walking of pedestrians;in contrast,it may help to improve the egress efficiency by guiding the pedestrian flow and mitigating the reduction of pedestrian system orderliness.

A Distributed Photovoltaics Ordering Grid-Connected Method for Analyzing Voltage Impact in Radial Distribution Networks

In recent years,distributed photovoltaics(DPV)has ushered in a good development situation due to the advantages of pollution-free power generation,full utilization of the ground or roof of the installation site,and balancing a large number of loads nearby.However,under the background of a large-scale DPV grid-connected to the county distribution network,an effective analysis method is needed to analyze its impact on the voltage of the distribution network in the early development stage of DPV.Therefore,a DPV orderly grid-connected method based on photovoltaics grid-connected order degree(PGOD)is proposed.This method aims to orderly analyze the change of voltage in the distribution network when large-scale DPV will be connected.Firstly,based on the voltagemagnitude sensitivity(VMS)index of the photovoltaics permitted grid-connected node and the acceptance of grid-connected node(AoGCN)index of other nodes in the network,thePGODindex is constructed to determine the photovoltaics permitted grid-connected node of the current photovoltaics grid-connected state network.Secondly,a photovoltaics orderly grid-connected model with a continuous updating state is constructed to obtain an orderly DPV grid-connected order.The simulation results illustrate that the photovoltaics grid-connected order determined by this method based on PGOD can effectively analyze the voltage impact of large-scale photovoltaics grid-connected,and explore the internal factors and characteristics of the impact.

INFLUENCE OF GRAIN SIZE AND ORDERING DEGREE OF PARENT PHASE ON SME IN A CuZnAl ALLOY CONTAINING BORON

The influence of grain size and ordering degree of the parent phase on the shape memory re- covery in a Cu-25.62Zn-3.97Al-0.0018B(wt-%)memory alloy is investigated.A mathematical relationship is set up between the recovery ratio and ordering degree,probabili- ty of atoms at their ordered sites,grain size,the thickness of the grain boundary affected re- gions,the stress during deformation,as well as the critical shear stress.Shape memory effect reaches a maximum with varying grain size and increases linearly with increasing ordering parameter,which agrees well with experimental results.

Relations between compositional modulation and atomic ordering degree in thin films of ternary Ⅲ-Ⅴ semiconductor alloys

This paper derives the expressions for the ordering degree and the modulation factor of A and B atoms in AXB1-xC epilayers of ternary III-V semiconductor alloys. Using these expressions, it identifies quantitatively the alternating atom-enhanced planes, compositional modulations, atomic ordering degree on the group-III sublattices and the fine structure of NMR spectra.

Temperature-dependent Gilbert damping in Co2 FeAl thin films with different B2 ordering degrees

The temperature-dependent Gilbert damping in Co2FeAl thin film grown on a Pb(Mg1/3Nb2/3)O3-30%PbTiO3 substrate is investigated by the systematic measurement of physical property measurement system(PPMS) on a series of samples with different substrate temperatures. Varying the substrate temperatures from 350℃ to 500℃, the B2 ordering degrees of Co2FeAl thin films increase, which can lead the Gilbert damping to decrease, indicated by the field-sweep in-plane PPMS measurements. In addition, the measurement result of PPMS demonstrates that the Gilbert damping decreases first with measurement temperature decreasing down to about 150 K, then increases at a measurement temperature of ~ 50 K, and decreases again with the measurement temperature decreasing. There are two independent damping manners, namely bulk damping and surface damping, which contribute to the Gilbert damping. Moreover, the observed peak of Gilbert damping at ~ 50 K can be attributed to the spin re-orientation transition at the Co2FeAl surface, which is similar to the result of the effective magnetization as a function of measurement temperature. The result presents the evidence for further studying the Gilbert damping in Co2FeAl thin film.

Ranking grey numbers based on dominance grey degrees

With respect to the decision making problems where a lot of fuzzy and grey information always exists in the real-life decision making information system methods as fuzzy mathematics, it is difficult for such uncertainty probability, and interval numbers to deal with. To this end, based on the thought and method of grey numbers, grey degrees and interval numbers, the concept of dominance grey degree is defined. And then a method of ranking interval grey numbers based on the dominance grey degree is proposed. After discussing the relevant properties, the paper finally uses an example to demonstrate the effectiveness and applicability of the model. The result shows that the proposed model can more accurately describe uncertainty decision making problems, and realize the total ordering process for multiple-attribute decision-making problems.

超协调元

该文提出一类超协调的单元理论。不同于在普通协调元中采用的线位移协调插值格式,超协调元的单元插值函数首先引入转角自由度等线位移导数的高阶协调假设,并通过积分推导,进而获得超协调的线位移模型。基于超协调元理论,该文构造了一类新型的三结点三角形平板壳元SCT。数值算例表明:与其他类型单元相比,基于超协调元理论的单元具有计算精度高和计算效率好的优势。该文所提出单元理论构造简单,超协调元理论可以成为构造高性能数值算法的一种新的通用理论。

基于多阶邻域贡献度的航线网络节点重要性辨识

为提高航线网络鲁棒性,对航线网络的节点重要性辨识进行研究.基于航空公司执飞数据构建航线网络拓扑模型,依托航线网络节点间交互阶数与网络平均路径差值集结邻域多阶异质性信息,利用航线网络邻域节点的圈结构表征节点在网络中的紧密性特征集结.构建基于航线网络的节点多阶邻域信息与结构信息融合模型并提出基于多阶邻域贡献度的节点中心性算法.实验选取投入攻击资源R=0.3和R=0.5进行分析,分别最大提升39.62%和49.69%的攻击效用值,表明该算法对航线网络节点重要性辨识准确有效,可给航线网络连通性优化设计提供理论参考.

高压电缆绝缘低密度聚乙烯交联过程中级数和自催化反应的逆向调控

在保证交联度的前提下提升耐焦烧性能是进一步发展国产高压电缆低密度聚乙烯绝缘料的关键之一。焦烧和交联度本质上是交联反应及其结果的反映,该文基于高分子化学流变学和凝胶理论,提出了绝缘料耐焦烧性能的定量表征方法,结合实验分析和交联反应动力学模型,首次全面探讨了交联反应与焦烧和交联度的关联机理,提出了提升耐焦烧性能并保证交联度的优化策略。研究发现,低密度聚乙烯交联过程中有级数反应和自催化反应,低温下级数反应的级数越低,越有利于延缓交联反应,增加凝胶时间,提高耐焦烧性能;而高温下自催化反应的级数越高,越有利于加速交联反应,提高交联度。单一添加剂只能同向改变级数反应和自催化反应的级数,复合添加剂的协同作用则能逆向改变级数反应和自催化反应的级数,从而实现了在保证交联度的前提下提升绝缘料的耐焦烧性能。该研究为推进高压电缆低密度聚乙烯绝缘料国产化提供了重要理论支撑。

基于超图理论的中医方剂网络药对挖掘方法

随着复杂网络研究的深入发展,利用复杂网络理论对中药药方数据进行建模分析已成为研究中药配伍规律的重要方法之一。然而,传统的“药-药”网络结构只基于“点-边”关系,无法体现方剂和中药之间的高阶交互关系,从而影响药对挖掘的准确率和效果。针对该问题,提出了一种基于超图的方药超网络建模方法来刻画方剂与中药之间的高阶关联关系,以方剂为超边、方剂中的中药为节点构建方药超网络,对比传统“药-药”网络和方药超网络的统计特性发现,方药超网络节点超度分布更加符合幂律分布特征,具有小世界和无标度特性,证明了方药超网络建模方法具有合理性和可行性;基于方药超网络提出一种融合多因素的双权重度中心性指标(double weight degree centrality,DWDC)挖掘方剂中的常见中药,引入超边属性对节点特性的影响,以网络的脆弱性和鲁棒性为依据,通过各算法之间的对比实验,验证所提出方法能够更有效筛选出方剂超网络中的常见中药;再将DWDC指标推广到二阶常见药对挖掘,提出高阶指标H-DWDC,基于真实数据集的实验结果表明,该方法能够有效地从海量数据中挖掘出常见药对。

Approach to obtaining weights of uncertain ordered weighted geometric averaging operator

The ordered weighted geometric averaging（OWGA） operator is extended to accommodate uncertain conditions where all input arguments take the forms of interval numbers. First, a possibility degree formula for the comparison between interval numbers is introduced. It is proved that the introduced formula is equivalent to the existing formulae, and also some desired properties of the possibility degree is presented. Secondly, the uncertain OWGA operator is investigated in which the associated weighting parameters cannot be specified, but value ranges can be obtained and the associated aggregated values of an uncertain OWGA operator are known. A linear objective-programming model is established; by solving this model, the associated weights vector of an uncertain OWGA operator can be determined, and also the estimated aggregated values of the alternatives can be obtained. Then the alternatives can be ranked by the comparison of the estimated aggregated values using the possibility degree formula. Finally, a numerical example is given to show the feasibility and effectiveness of the developed method.

黔东苗语程度副词的语法功能与相关来源

黔东苗语的程度副词有两类,分别为相对程度副词和绝对程度副词,均修饰形容词或限制性动词,是程度增量的语义表征。语法上,黔东苗语程度副词具有比较功能、凸显功能和描摹功能,对事物或动作状态或程度的比较、凸显或描摹。语序上有前置型和后置型两种,即“S+Adj+Adv”和“S+Adv+Adj”,前者为苗语固有的语序,后者为借用汉语的语序,是语言接触下语法扩散的结果。程度副词属虚词成分,由实词语法化而来,通过语义扩散、结构重组等方式体现出来。语法化路径有三个,其一由实义动词语法化而来,其二为形容词语法化而来,其三为数量结构语法化而来,每个路径均有不同的特征。语法化的动因有两种,即内在动因和外在动因,内在动因包括语义扩散和语法固化,外在动因包括语言接触和语用变化等;语法化机制有类推、重新分析、隐喻和转喻、语法复制。

安徽省绿色物流绩效评价及障碍因子分析

构建以经济水平、资金投入、产业规模、基础设施、环境与资源5个方面指标的安徽省绿色物流绩效指标评价体系,选取安徽省2014—2021年的相关数据,运用熵权TOPSIS(逼近理想解排序)法对其绿色物流绩效水平进行实证分析,并借助障碍度模型找出制约安徽省绿色物流发展的障碍因子。研究结果显示:安徽省绿色物流绩效水平整体呈现稳步上升的趋势;经济水平和基础设施发展较好,资金投入有所增长,产业规模增长放缓;物流业能源消费总量和碳排放量持续增加,环境与资源方面尚有不足,需要进一步提升;2018—2021年制约绿色物流发展的主要障碍因子是产业规模;从长期来看,环境与资源会逐步成为阻碍绿色物流发展的主要因素。

我国省域物流与电商复合系统协同度实证分析

国务院办公厅在2022年出台的“十四五”现代物流发展规划中提出,要深化电商与物流行业的融合发展。我国电商行业日渐繁荣,而现代物流的发展速度相对缓慢,这导致物流与电商系统之间出现了矛盾,制约二者的协同发展。基于此,通过实证分析,运用熵权法计算物流子系统与电商子系统的有序度,进而得到2013—2021年9年间全国31个省市物流与电商复合系统的协同度。结果表明,我国整体的协同度都呈现波动状态且一直保持较低水平的发展态势,文章将各省市的协同度按高低水平具体分析,为省域物流与电商系统提出二者协调发展的建议。

吉林省区域科技创新协同发展研究

本文通过建立系统有序度模型测算吉林省科技创新协同度,运用主成分分析方法并通过降维、聚类计算吉林省各市(州)的综合得分,研究分析吉林省科技创新水平。结果表明:2018—2021年吉林省系统有序化状态不稳定,整体协同度偏差较大,科技溢出效能较弱;长春市科技创新水平远超过其他城市,吉林市上升空间较大;白山市的有序度与科技创新水平均为最后一名,重视程度较低。

给定度序列的连通图类的k阶Sombor指数

对于一个简单连通图G=(V,E),d(u)是图G的顶点u的度.G的k阶Sombor指数被定义为SO kα(G)=∑uv∈E[d(u)k+d(v)k]α,k∈{2,3,…,n}.给出了在给定度序列的连通图类(最小度为1)中,存在一个特殊极BFS图,当0<α<1时,具有最小k阶Sombor指数;当α>1或α<0时,具有最大k阶Sombor指数.并且,任意给定度序列(最小度为1)的树,单圈图和双圈图中,当0<α<1时,存在唯一极图具有最小k阶Sombor指数;当α>1或α<0时,具有最大k阶Sombor指数.

基于RTOPSIS的集成学习的综合评价研究

Stacking集成学习被认为是一种“黑盒”模型,采用多个基学习器的预测结果输入,通过元学习器来生成最终的预测。这种复杂性使得难以准确了解每个基学习器对最终结果的贡献。为解决此问题,该文提出了RTOPSIS方法。该方法结合了灰色关联度系数计算和优劣解距离方法,为决策者提供了一种有效的工具,以清晰地揭示每个基学习器在Stacking模型中对最终结果的贡献程度。具体而言:采用RTOPSIS算法替代传统的判别方法,综合考虑基学习器和元学习器之间的关系,提供更客观和合理的模型排名结果;应用灰色关联分析算法计算各个基学习器在Stacking模型中的权重,并反映其对最终结果的贡献程度。实验证明,相对于单一指标如Accuracy、AUC和F1-score等,在Stacking模型综合评价中,RTOPSIS算法为该文6个模型提供了更为合适的排名,且与经典优劣解距离算法的排序结果基本一致。因此,RTOPSIS算法在Stacking模型评价中展现出更全面的评价效果。

处理已公开个人信息的入罪边界——基于对信息可访问程度的类型化考察

已公开个人信息仍然蕴含自然人的人格权益,应受法律保护,但个人信息一经合法公开就自动具有了社会属性,需要考虑信息的流动与利用。既有的合目的性考察与“二次同意”方案均有明显缺憾,故应当从客观标准入手进行类型化考察。因此,可将已公开个人信息的可访问程度作为尺度,由强到弱依次划分为:具备一般可访问性、具备局部可访问性和仅具备特殊可访问性。在此基础上,可以划定出相对客观且稳定的入罪边界,即处理具备一般可访问性的已公开个人信息不得侵犯人格权或用于犯罪活动;处理具备局部可访问性的已公开个人信息不得明显升高信息风险;处理仅具备特殊可访问性的已公开个人信息则需要获得权利人的二次同意。