Design and Performance Analysis of HMDV Dynamic Inertial Suspension Based on Active Disturbance Rejection Control

This paper addresses the impact of vertical vibration negative effects,unbalanced radial forces generated by the static eccentricity of the hub motor,and road excitation on the suspension performance of Hub Motor Driven Vehicle(HMDV).A dynamic inertial suspension based on Active Disturbance Rejection Control(ADRC)is proposed,combining the vertical dynamic characteristics of dynamic inertial suspension with the features of ADRC,which distinguishes between internal and external disturbances and arranges the transition process.Firstly,a simulation model of the static eccentricity of the hub motor is established to simulate the unbalanced radial electromagnetic force generated under static eccentricity.A quarter-vehicle model of an HMDV with a controllable dynamic inertial suspension is then constructed.Subsequently,the passive suspension model is studied under different grades of road excitation,and the impact mechanism of suspension performance at speeds of 0–20 m/s is analyzed.Next,the three main components within the ADRC controller are designed for the second-order controlled system,and optimization algorithms are used to optimize its internal parameters.Finally,the performance of the traditional passive suspension,the PID-based controllable dynamic inertial suspension,and the ADRC-based controllable dynamic inertial suspension are analyzed under different road inputs.Simulation results show that,under sinusoidal road input,the ADRC-based controllable dynamic inertial suspension exhibits a 52.3%reduction in the low-frequency resonance peak in the vehicle body acceleration gain diagram compared to the traditional passive suspension,with significant performance optimization in the high-frequency range.Under random road input,the ADRC-based controllable dynamic inertial suspension achieves a 29.53%reduction in the root mean square value of vehicle body acceleration and a 14.87%reduction in dynamic tire load.This indicates that the designed controllable dynamic inertial suspension possesses excellent vibration isolation performance.

Thermoelectric Stirling Engine (TEG-Stirling Engine) Based on the Analysis of Thermomechanical Dynamics (TMD)

The thermoelectric energy conversion technique by employing the Disk-Magnet Electromagnetic Induction (DM-EMI) is examined in detail, and possible applications to heat engines as one of the energy-harvesting technologies are discussed. The idea is induced by the analysis of thermomechanical dynamics (TMD) for a nonequilibrium irreversible thermodynamic system of heat engines, such as a drinking bird and a low temperature Stirling engine, resulting in thermoelectric energy generation different from conventional heat engines. The current thermoelectric energy conversion with DM-EMI can be applied to wide ranges of machines and temperature differences. The mechanism of DM-EMI energy converter is categorized as the axial flux generator (AFG), which is the reason why the technology is applicable to sensitive thermoelectric conversions. On the other hand, almost all the conventional turbines use the radius flux generator to extract huge electric power, which uses the radial flux generator (RFG). The axial flux generator is helpful for a low mechanoelectric energy conversion and activations of waste heat from macroscopic energy generators such as wind, geothermal, thermal, nuclear power plants and heat-dissipation lines. The technique of DM-EMI will contribute to solving environmental problems to maintain clean and sustainable energy as one of the energy harvesting technologies.

Thermomechanical Dynamics (TMD) and Bifurcation-Integration Solutions in Nonlinear Differential Equations with Time-Dependent Coefficients

The new independent solutions of the nonlinear differential equation with time-dependent coefficients (NDE-TC) are discussed, for the first time, by employing experimental device called a drinking bird whose simple back-and-forth motion develops into water drinking motion. The solution to a drinking bird equation of motion manifests itself the transition from thermodynamic equilibrium to nonequilibrium irreversible states. The independent solution signifying a nonequilibrium thermal state seems to be constructed as if two independent bifurcation solutions are synthesized, and so, the solution is tentatively termed as the bifurcation-integration solution. The bifurcation-integration solution expresses the transition from mechanical and thermodynamic equilibrium to a nonequilibrium irreversible state, which is explicitly shown by the nonlinear differential equation with time-dependent coefficients (NDE-TC). The analysis established a new theoretical approach to nonequilibrium irreversible states, thermomechanical dynamics (TMD). The TMD method enables one to obtain thermodynamically consistent and time-dependent progresses of thermodynamic quantities, by employing the bifurcation-integration solutions of NDE-TC. We hope that the basic properties of bifurcation-integration solutions will be studied and investigated further in mathematics, physics, chemistry and nonlinear sciences in general.

Fortifying the Digital Bastion: Pioneering Cybersecurity with Dynamic Secrets Management and CMDB Fusion in the Enterprise

In the relentless quest for digital sovereignty, organizations face an unprecedented challenge in safeguarding sensitive information, protecting against cyber threats, and maintaining regulatory compliance. This manuscript unveils a revolutionary blueprint for cyber resilience, empowering organizations to transcend the limitations of traditional cybersecurity paradigms and forge ahead into uncharted territories of data security excellence and frictionless secrets management experience. Enter a new era of cybersecurity innovation and continued excellence. By seamlessly integrating secrets based on logical environments and applications (assets), dynamic secrets management orchestrates and automates the secrets lifecycle management with other platform cohesive integrations. Enterprises can enhance security, streamline operations, fasten development practices, avoid secrets sprawl, and improve overall compliance and DevSecOps practice. This enables the enterprises to enhance security, streamline operations, fasten development & deployment practices, avoid secrets spawls, and improve overall volume in shipping software with paved-road DevSecOps Practices, and improve developers’ productivity. By seamlessly integrating secrets based on logical environments and applications (assets), dynamic secrets management orchestrates and automates the application secrets lifecycle with other platform cohesive integrations. Organizations can enhance security, streamline operations, fasten development & deployment practices, avoid secrets sprawl, and improve overall volume in shipping software with paved-road DevSecOps practices. Most importantly, increases developer productivity.

The Application of Thermomechanical Dynamics (TMD) to Thermoelectric Energy Generation by Employing a Low Temperature Stirling Engine

A thermoelectric generation Stirling engine (TEG-Stirling engine) is discussed by employing a low temperature Stirling engine and the dissipative equation of motion derived from the method of thermomechanical dynamics (TMD). The results and mechanism of axial flux electromagnetic induction (AF-EMI) are applied to a low temperature Stirling engine, resulting in a TEG-Stirling engine. The method of TMD produced thermodynamically consistent and time-dependent physical quantities for the first time, such as internal energy ℰ(t), thermodynamic work Wth(t), the total entropy (heat dissipation) Qd(t)and measure or temperature of a nonequilibrium state T˜(t). The TMD analysis produced a lightweight mechanical system of TEG-Stirling engine which derives electric power from waste heat of temperature (40˚CT100˚C) by a thermoelectric conversion method. An optimal low rotational speed about 30θ′(t)/(2π)60(rpm) is found, applicable to devices for sustainable, clean energy technologies. The stability of a thermal state and angular rotations of TEG-Stirling engine are specifically shown by employing properties of nonequilibrium temperature T˜(t), which is also applied to study optimal fuel-injection and combustion timings of heat engines.

家蝇抗药性相关羧酸酯酶MdαE7 G137D和乙酰胆碱酯酶V260L与F407Y突变的核酸检测方法

目的建立基于聚合酶链式反应−限制性片段长度多态性(PCR−RFLP)策略,可用于家蝇抗药性相关羧酸酯酶MdαE7 G137D和乙酰胆碱酯酶(AChE)V260L与F407Y突变的分子检测方法。方法2022年6-7月,在四川省内江市资中、威远、隆昌、市中和东兴5个县(市、区),采用诱蝇笼或捕虫网采集家蝇成虫,用无水乙醇保存,带回实验室操作。根据家蝇羧酸酯酶MdαE7和AChE基因序列设计引物,以单只家蝇的基因组DNA为模板,进行家蝇MdαE7基因和AChE编码基因片段的PCR扩增,用限制性内切酶酶切PCR产物,根据酶切产物的电泳检测结果来区分家蝇个体的基因型。结果采用基因特异性引物,可扩增出长度分别为213、170和133 bp的PCR产物MdαE7-137,AChE-260和AChE-407。MdαE7-137经Bst XI酶切后,电泳检测显示26和187 bp 2条条带为137位点敏感纯合子(GG),仅213 bp 1条条带为抗性纯合子(DD),26、187和213 bp 3条条带为杂合子(G/D)。AChE-260经Sa1 I-HF®酶切后,电泳显示170 bp 1条条带的,为AChE 260位点敏感纯合子(VV),显示26和144 bp 2条条带的,为抗性纯合子(LL),显示26、144和170 bp 3条条带的,为杂合子(V/L)。AChE-407经Eco RV-HF®酶切后,电泳条带存在133 bp 1条条带的,为AChE 407位点敏感纯合子(FF),存在31和102 bp 2条条带的,为抗性纯合子(YY),存在31、102和133 bp 3条条带的,为杂合子(F/Y)。结论建立的PCR−RFLP基因分型方法简便、准确性高,可分别用于快速检测野外家蝇种群中抗药性相关的羧酸酯酶MdαE7 G137D、AChE V260L和AchE F407Y突变的频率。

MDS基因突变及三种剂量DAC联合预激方案治疗的疗效观察

目的 探讨MDS细胞分子遗传学临床特点及三种剂量DAC联合预激方案治疗的疗效。方法 采用WHO-MDS诊断分型标准,用G/R显带染色体分析;NGS二代测序突变基因;三种不同剂量DAC联合预激化疗方案治疗中高危MDS患者86例,A组(DAC20mg/m^(2)),B组(DAC15mg/m^(2)+CAG),C组(DAC15mg/m^(2))。结果 在86例MDS患者中,共检测到55(63.95%)例基因突变。共检测到26种基因突变类型。分别是:FLT3,TET2,CEBPA,NPM1,RUNX1,STAG2,IDH2,DNMT3A,WT1,EZH2,GATA2,IKZF1,ASXL1,NRAS,SRSF2,RAD21,TP53,CSF3R,IDH1,ETV5,SMC3,AML1-ETO,SF3B1。前5位的基因是:TET2,DNMT3A,ASXL1,SF3B1,NRAS。治疗方案完成≥2疗程患者占94.2%;有效率:A组(93.3%),B组(96.4%),C组(92.8%);ORR 80.8%。完成≥4疗程患者例占84.8%:有效率:A组(86.7%),B组(85.7%),C组(82.1%);ORR 84.9%。A、B、C 3组间有效率χ2检验无显著性差异(P>0.05)。结论 三种不同剂量地西他滨组合方案均可用于中高危MDS患者。根据患者体能状况评分系统选择个体化治疗中高危MDS更为重要。

基于Grover量子搜索算法的MD5碰撞攻击模型

量子计算天然的并行性使其在密码学领域具有巨大潜力,而在信息安全领域,Hash函数的安全性至关重要。因此,后量子密码学概念的提出使得Hash函数在后量子时代的研究价值凸显。文章提出了一种基于Grover量子搜索算法的MD5碰撞攻击模型,运用模差分分析法,通过对输入的量子叠加态进行约束搜索以找到满足碰撞条件的目标态,再根据差分构造出与之相碰撞的消息。此外,文章探讨了量子搜索算法中的迭代过程及其关键操作,设计了相应的Oracle黑盒的量子线路,并对其进行性能分析,结果表明,与经典算法相比,该模型显著降低了攻击的计算复杂度,为后量子密码时期Hash函数的研究提供了新的思路和方法,也为防御此类攻击提供了有益参考。

MD&A语调积极性与商业信用融资——基于供应商授信视角的经验证据

数字信息时代,文本分析技术的应用提升了非财务信息的可用性和传递效率,进而为供应商授信提供增量信息。以2007—2019年中国沪深A股上市公司为样本,基于非财务信息的文本特征,考察了MD&A语调积极性对企业商业信用融资的影响及其机制。研究发现,MD&A积极语调能够提升企业的商业信用融资水平,且通过改善财务信息环境和削弱媒体负面报道带来的不利影响提升了企业商业信用融资水平。异质性分析结果表明,对于收到问询函和所处环境不确定性较高的企业,MD&A积极语调提升企业商业信用融资水平的效应更显著。进一步研究发现,MD&A异常积极语调越高,企业获得的商业信用融资越多,但当数字化水平或供应商稳定性越高时,MD&A异常积极语调对商业信用融资的正向影响逐渐减弱。因此,企业应综合考虑非财务信息对供应商授信的影响,供应商应提高对异常语调的识别能力,监管机构应加强对企业信息披露的规范和监督,地方政府应积极推进数字中国建设,为创造良好的企业商业信用融资环境奠定信息基础。

非国有股东超额委派董事能提升MD&A信息含量吗

新形势下,国有企业通过引入非国有资本以完善公司治理和市场化运营成为重要议题。现有关于非国有股东委派董事的研究大多关注经营与投资决策,鲜有涉及MD&A信息含量的相关探讨,因此,本文以2013—2021年国有上市公司为研究样本,实证检验了非国有股东超额委派董事对MD&A信息含量的影响及其机理。研究发现,非国有股东超额委派董事能显著提升MD&A信息含量;异质性检验发现,当公司治理水平较低和产品市场竞争程度较高时,非国有股东超额委派董事的作用更为明显;机制研究发现,非国有股东超额委派董事主要通过提供增量信息与发挥监督效应的渠道提升MD&A信息含量;经济后果检验发现,信息含量的提升显著提高了资本配置效率与外部投资者信心。研究结论为有效推动混合所有制改革,充分发挥非国有资本参与治理提供了新的视角与经验证据。

MD&A文本相似性会影响审计风格吗?

“管理层讨论与分析”(MD&A)信息披露通常会受到管理层的影响,并带来相应的披露后果。以2014—2021年上市公司为研究样本,以审计师向客户发表非标准审计意见的准确度来衡量审计风格,实证检验MD&A文本相似性对审计风格的影响。研究发现:MD&A文本相似性越高,审计风格越激进;分析师跟踪、信息披露质量和媒体关注度削弱了MD&A文本相似性与审计风格之间的正相关关系。影响机制研究发现:MD&A文本相似性越高,审计师投入的审计资源会越少,要求的收费水平就会降低,使得审计风格更加激进。异质性分析发现:MD&A文本语调更为积极的一组,MD&A文本相似性与审计风格之间的关系不显著,语调消极的一组二者之间仍存在显著的正相关关系,而MD&A文本可读性程度的高低不影响MD&A文本相似性和审计风格之间的关系。上述研究结论对监管机构落实审计师责任、审计师作出审计判断和投资者进行投资决策等具有一定的参考意义。

融合MD&A多维度语义的企业碳减排信用风险预警研究

本文以2011~2022年制造型企业为例,将创新性、前瞻性、风险性等10种MD&A语义指标引入基于机器学习算法构建的碳减排信用风险预警模型中,探究引入前后模型预测效果的变化,并使用SHAP可解释法揭示预警模型决策逻辑过程。研究发现:(1)MD&A语义指标可显著提升碳减排信用风险预警模型的预测效果,如P_(i)、CV_(i)评估指标的提升幅度、降低幅度分别在1%~11%、0.0029~0.1944。而相较于语义指标,碳减排信用指标对模型预测效果提升更为明显;(2)总体碳减排信用风险预警效果上,XGBoost模型最佳,其次是RF和SVM模型,LR模型最差;(3)净语调1、创新性、风险性是影响碳减排信用风险的关键语义指标。当净语调1、创新性指标增大时,模型预测为正常企业的概率增加;当风险性指标增大时,模型预测为违约企业的概率增加。

基于MVVM的ReaxFF MD模拟的化学反应数据系统的建立

基于反应力场(reactive force field,ReaxFF)的反应分子动力学模拟的结果分析具有挑战性。国际首个ReaxFF MD化学反应分析及可视化工具VARxMD(visulization and analysis of ReaxFF molecular dynamics)可自动生成不同时刻之间完整的化学反应列表,通过物种检索进一步对反应路径进行分类。但VARxMD目前的反应分析针对的是某一确定条件下单一的ReaxFF MD模拟轨迹,利用VARxMD分析获得一次模拟的完整反应列表需要消耗大量计算资源和时间。本文提出基于数据库来储存VARxMD反应分析结果数据,基于数据库检索进一步分析反应的思路,并采用MVVM(model-view-view model)的系统设计模式、结合渐进式框架Vue.js建立了ReaxFF MD模拟的化学反应数据系统ReaxMDDB(reaction database of ReaxFF MD simulation)。系统应用于多个RP-3模型热解和氧化模拟反应数据的结果表明:该系统不仅实现了多个ReaxFF MD模拟的详细反应的统一分析和化学反应的2D分子结构显示,而且可永久保存模拟获得的反应数据集以备后续进一步分析反应机理。ReaxMDDB具有很好的通用性,为认识不同反应模拟所揭示的共性化学反应机理提供了方便的平台。

基于AL-BILSTMDN的输电线动态热极限概率预测

针对输电线动态热极限概率预测精度不足的问题,提出一种基于交替学习-双向长短时混合密度网络模型的动态热极限概率预测方法。该模型基于双向长短时混合密度网络抓取训练数据时序信息并实现动态热极限概率预测。同时,使用交替学习方法对时序数据集中的复杂模式数据进行强化学习,即区分出训练集中具有较为复杂模式的部分,让复杂模式训练集和全部训练集在模型中交替迭代直至最优,从而解决不平衡数据集混叠造成的局部最优问题。通过辽宁省某地区实例分析显示,所提模型可提升预测精度、降低过载概率。

基于多目标灰狼算法的漂浮式风电机组浮台内TMD参数优化

针对漂浮式风电机组浮台内调谐质量阻尼器(TMD)参数调优的问题,以5 MW Barge型漂浮式风电机组为研究对象,采用多目标灰狼算法(MOGWO)优化TMD参数配置。首先,基于欧拉-拉格朗日方程建立浮台内含TMD的漂浮式风电机组动力学模型,采用Levenberg-Marquardt(LM)法进行模型未知参数辨识;其次,同时考虑塔顶和塔基控制目标,采用MOGWO算法优化TMD的刚度和阻尼参数;最后,在不同工况下进行仿真分析。结果表明:相对于传统的单目标优化算法,使用MOGWO算法参数优化后的TMD对风电机组具有更好的振动抑制效果。

中国城市PM_(2.5)污染暴露不平等及其驱动因素——基于Theil指数和LMDI分解

聚焦大气污染物PM_(2.5),对2015~2021年污染物浓度进行人口规模赋权,构建中国城市PM_(2.5)污染暴露水平指标,基于GINI系数和Theil指数测度污染暴露不平等,并按城市行政层级、省份进行差异分解;基于对数平均迪氏指数分解法(LMDI),分别对污染暴露水平、不平等程度进行驱动因素分解,探究其变化背后的社会经济因素.结果表明:中国城市PM_(2.5)污染暴露不平等总体温和,GINI系数保持在0.2以内且呈递减趋势.不同行政级别城市间未表现出污染暴露不平等,而省际差异对污染暴露不平等的贡献达68.4%;总体上能源的污染暴露乘数、政府绿色支出能耗强度是PM_(2.5)污染暴露水平的主要抑制因素,对污染暴露水平的驱动贡献超过60%.政府支出结构、支出规模、经济发展和人口因素对PM_(2.5)污染暴露起促增作用,但各因素在不同层级的城市间具有异质性;能源的污染暴露乘数、绿色支出能耗强度对不平等的动态抑制作用弱化,主要依靠能源绿色化的治污策略面临挑战.据此提出更好发挥政府作用,持续降低中国PM_(2.5)污染暴露水平,实现环境公共服务更加均等化的政策启示.

eMD:基于异构计算的大规模分子动力学模拟软件

【目的】异构计算已经成为高性能计算的重要组成部分,GPU异构计算可显著提速计算密集型的分子动力学模拟应用,本文介绍自研分子动力学模拟软件eMD的系统设计及其异构计算应用。【方法】首先介绍eMD软件的目标定位,包括应用功能和计算性能两方面;然后介绍软件概要设计,包括框架、模块和接口等组成部分;重点围绕面向异构计算的软件架构设计和移植优化技术进行阐述。【结果】eMD软件系统基于GPU异构计算可实现大规模体系模拟,同时提供特色的分子动力学模拟算法和模型。【结论】eMD将充分发挥GPU异构计算算力,以提升分子动力学模拟应用效率,助力分子建模理论方法的创新应用和分子科学问题的研究。

新纠缠辅助量子MDS码的构造

纠缠辅助量子纠错码是经典量子纠错码的推广,通过在接收者和发送者双方预先共享纠缠态的方式实现量子通信.由于预先共享纠缠态会造成额外的费用,如何构造具有较小预先共享纠缠态的纠缠辅助量子纠错码是一个有趣的问题.本文给出了有限域Fq2上一类负循环码是厄米特对偶包含码的充分条件,通过研究其分圆陪集的结构性质,确定了不同数目的预先共享纠缠态的存在条件,并结合纠缠辅助量子纠错码的构造方法,构造了一些新的具有较小预先共享纠缠态的纠缠辅助量子Maximum-Distance-Separable(MDS)码.

MD安德森症状评估量表急性白血病模块的编制及信度和效度检验

目的:编制MD安德森症状评估量表急性白血病模块,并检验其信度和效度。方法:通过文献回顾、半结构式访谈、德尔菲专家函询和患者预调查形成预量表,选取235例成人急性白血病患者进行临床调查,检验其信度和效度。结果:MD安德森症状评估量表急性白血病模块共25个条目,包括19个症状评估条目和6个症状对日常生活的困扰条目。内容效度结果显示,I-CVI和S-CVI均大于0.8。验证性因子分析结果显示,χ^(2)/df=2.230,RMSEA=0.072,GFI=0.976,CFI=0.955,IFI=0.956,NFI=0.923,TLI=0.915,模型拟合结果良好,具有良好的结构效度。MD安德森症状评估量表急性白血病模块总量表的Cronbach’sα系数为0.941,急性白血病模块的Cronbach’sα系数为0.707。结论:MD安德森症状评估量表急性白血病模块具有较好的信度和效度,可作为急性白血病患者症状的评估工具。

动态密码组件对合MDS矩阵的设计与实现

随着密码的应用领域不断扩大,应用程度不断加深,应用认可度不断提升,密码算法的需求量越来越大,对不同领域使用的类似算法进行有效分割成为必须。对有限域GF(2^(m))上4阶矩阵进行了研究,重点对m=8的对合最大距离可分(Maximum Distance Separable,MDS)矩阵进行了详细分析和设计。首先,给出了有限域GF(2^(8))上对合矩阵G′满足的形式和限制条件。然后,通过MDS矩阵判定条件给出了4阶对合MDS矩阵的性质以及参数取值范围。最后,计算得出对合MDS矩阵个数不小于258.9。该研究成果为基于软件实现的分组密码设计提供了大量安全高效的动态扩散组件,使其能够保证基于SP结构设计的分组密码在加解密相同的情形下不增加计算量,可作为不同领域密码算法分割的参数使用。