Comparison of nonlinear modeling methods for the composite rubber clamp

The cubic stiffness force model(CSFM)and Bouc-Wen model(BWM)are introduced and compared innovatively.The unknown coefficients of the nonlinear models are identified by the genetic algorithm combined with experiments.By fitting the identified nonlinear coefficients under different excitation amplitudes,the nonlinear vibration responses of the system are predicted.The results show that the accuracy of the BWM is higher than that of the CSFM,especially in the non-resonant region.However,the optimization time of the BWM is longer than that of the CSFM.

Effect of an Airbag-selective Portal Vein Blood Arrester on the Liver after Hepatectomy:A New Technique for Selective Clamping of the Portal Vein

Objective:A novel technique was explored using an airbag-selective portal vein blood arrester that circumvents the need for an intraoperative assessment of anatomical variations in patients with complex intrahepatic space-occupying lesions.Methods:Rabbits undergoing hepatectomy were randomly assigned to 4 groups:intermittent portal triad clamping(PTC),intermittent portal vein clamping(PVC),intermittent portal vein blocker with an airbag-selective portal vein blood arrester(APC),and without portal blood occlusion(control).Hepatic ischemia and reperfusion injury were assessed by measuring the 7-day survival rate,blood loss,liver function,hepatic pathology,hepatic inflammatory cytokine infiltration,hepatic malondialdehyde levels,and proliferating cell nuclear antigen levels.Results:Liver damage was substantially reduced in the APC and PVC groups.The APC animals exhibited transaminase levels similar to or less oxidative stress damage and inflammatory hepatocellular injury compared to those exhibited by the PVC animals.Bleeding was significantly higher in the control group than in the other groups.The APC group had less bleeding than the PVC group because of the avoidance of portal vein skeletonization during hepatectomy.Thus,more operative time was saved in the APC group than in the PVC group.Moreover,the total 7-day survival rate in the APC group was higher than that in the PTC group.Conclusion:Airbag-selective portal vein blood arresters may help protect against hepatic ischemia and reperfusion injury in rabbits undergoing partial hepatectomy.This technique may also help prevent liver damage in patients requiring hepatectomy.

Scheme Based on Multi-Level Patch Attention and Lesion Localization for Diabetic Retinopathy Grading

Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible blindness.Existing research has failed to fully explore effective DR lesion information in fundus maps.Besides,traditional attention schemes have not considered the impact of lesion type differences on grading,resulting in unreasonable extraction of important lesion features.Therefore,this paper proposes a DR diagnosis scheme that integrates a multi-level patch attention generator(MPAG)and a lesion localization module(LLM).Firstly,MPAGis used to predict patches of different sizes and generate a weighted attention map based on the prediction score and the types of lesions contained in the patches,fully considering the impact of lesion type differences on grading,solving the problem that the attention maps of lesions cannot be further refined and then adapted to the final DR diagnosis task.Secondly,the LLM generates a global attention map based on localization.Finally,the weighted attention map and global attention map are weighted with the fundus map to fully explore effective DR lesion information and increase the attention of the classification network to lesion details.This paper demonstrates the effectiveness of the proposed method through extensive experiments on the public DDR dataset,obtaining an accuracy of 0.8064.

Deep neural network based on multi-level wavelet and attention for structured illumination microscopy

Structured illumination microscopy(SIM)is a popular and powerful super-resolution(SR)technique in biomedical research.However,the conventional reconstruction algorithm for SIM heavily relies on the accurate prior knowledge of illumination patterns and signal-to-noise ratio(SNR)of raw images.To obtain high-quality SR images,several raw images need to be captured under high fluorescence level,which further restricts SIM’s temporal resolution and its applications.Deep learning(DL)is a data-driven technology that has been used to expand the limits of optical microscopy.In this study,we propose a deep neural network based on multi-level wavelet and attention mechanism(MWAM)for SIM.Our results show that the MWAM network can extract high-frequency information contained in SIM raw images and accurately integrate it into the output image,resulting in superior SR images compared to those generated using wide-field images as input data.We also demonstrate that the number of SIM raw images can be reduced to three,with one image in each illumination orientation,to achieve the optimal tradeoff between temporal and spatial resolution.Furthermore,our MWAM network exhibits superior reconstruction ability on low-SNR images compared to conventional SIM algorithms.We have also analyzed the adaptability of this network on other biological samples and successfully applied the pretrained model to other SIM systems.

Deep reinforcement learning based multi-level dynamic reconfiguration for urban distribution network:a cloud-edge collaboration architecture

With the construction of the power Internet of Things(IoT),communication between smart devices in urban distribution networks has been gradually moving towards high speed,high compatibility,and low latency,which provides reliable support for reconfiguration optimization in urban distribution networks.Thus,this study proposed a deep reinforcement learning based multi-level dynamic reconfiguration method for urban distribution networks in a cloud-edge collaboration architecture to obtain a real-time optimal multi-level dynamic reconfiguration solution.First,the multi-level dynamic reconfiguration method was discussed,which included feeder-,transformer-,and substation-levels.Subsequently,the multi-agent system was combined with the cloud-edge collaboration architecture to build a deep reinforcement learning model for multi-level dynamic reconfiguration in an urban distribution network.The cloud-edge collaboration architecture can effectively support the multi-agent system to conduct“centralized training and decentralized execution”operation modes and improve the learning efficiency of the model.Thereafter,for a multi-agent system,this study adopted a combination of offline and online learning to endow the model with the ability to realize automatic optimization and updation of the strategy.In the offline learning phase,a Q-learning-based multi-agent conservative Q-learning(MACQL)algorithm was proposed to stabilize the learning results and reduce the risk of the next online learning phase.In the online learning phase,a multi-agent deep deterministic policy gradient(MADDPG)algorithm based on policy gradients was proposed to explore the action space and update the experience pool.Finally,the effectiveness of the proposed method was verified through a simulation analysis of a real-world 445-node system.

FPGA based hardware platform for trapped-ion-based multi-level quantum systems

We report a design and implementation of a field-programmable-gate-arrays(FPGA)based hardware platform,which is used to realize control and signal readout of trapped-ion-based multi-level quantum systems.This platform integrates a four-channel 2.8 Gsps@14 bits arbitrary waveform generator,a 16-channel 1 Gsps@14 bits direct-digital-synthesisbased radio-frequency generator,a 16-channel 8 ns resolution pulse generator,a 10-channel 16 bits digital-to-analogconverter module,and a 2-channel proportion integration differentiation controller.The hardware platform can be applied in the trapped-ion-based multi-level quantum systems,enabling quantum control of multi-level quantum system and highdimensional quantum simulation.The platform is scalable and more channels for control and signal readout can be implemented by utilizing more parallel duplications of the hardware.The hardware platform also has a bright future to be applied in scaled trapped-ion-based quantum systems.

Neighborhood Effects and Political Trust: A Multi-level Analysis of Chinese Rural-to-Urban Migrants’ Trust in County Government

Massive rural-to-urban migration in China is consequential for political trust: rural-to-urban migrants have been found to hold lower levels of trust in local government than their rural peers who choose to stay in the countryside (mean 4.92 and 6.34 out of 10, respectively, p < 0.001). This article explores why migrants have a certain level of political trust in their county-level government. Using data of rural-to-urban migrants from the China Family Panel Survey, this study performs a hierarchical linear modeling (HLM) to unpack the multi-level explanatory factors of rural-to-urban migrants’ political trust. Findings show that the individual-level socio-economic characteristics and perceptions of government performance (Level-1), the neighborhood-level characteristics-the physical and social status and environment of neighborhoods (Level-2), and the objective macroeconomic performance of county-level government (Level-3), work together to explain migrants’ trust levels. These results suggest that considering the effects of neighborhood-level factors on rural-to-urban migrants’ political trust merits policy and public management attention in rapidly urbanizing countries.

Improved Clamped Diode Based Z-Source Network for Three Phase Induction Motor

The 3Φinduction motor is a broadly used electric machine in industrial applications,which plays a vital role in industries because of having plenty of beneficial impacts like low cost and easiness but the problems like decrease in motor speed due to load,high consumption of current and high ripple occurrence of ripples have reduced its preferences.The ultimate objective of this study is to control change in motor speed due to load variations.An improved Trans Z Source Inverter(ΓZSI)with a clamping diode is employed to maintain constant input voltage,reduce ripples and voltage overshoot.To operate induction motor at rated speed,different controllers are used.The conventional Proportional-Inte-gral(PI)controller suffers from high settling time and maximum peak overshoot.To overcome these limitations,Fractional Order Proportional Integral Derivative(FOPID)controller optimized by Gray Wolf Optimization(GWO)technique is employed to provide better performance by eliminating maximum peak overshoot pro-blems.The proposed speed controller provides good dynamic response and controls the induction motor more effectively.The complete setup is implemented in MATLAB Simulation to verify the simulation results.The proposed approach provides optimal performance with high torque and speed along with less steady state error.

夹持式玉米膜上精密穴播轮的参数优化及试验

为优化提高玉米膜上穴播轮的播种精度,针对目前玉米膜上精密穴播轮装置单粒率低、空穴率较高等问题,根据玉米播种时的特殊要求,优化设计了一种农机与农艺深度结合的玉米膜上精密穴播轮。系统介绍了所设计装置的机械结构及工作原理,并通过对穴播轮的结构和工作原理分析,确定将取种器中夹种板板长、夹种板偏角及夹种板与接种杯间距为作为影响试验结果的关键试验因素,将单粒率和空穴率作为目标值,通过数学软件对影响单粒率Y1和空穴率Y2的因素进行数据处理并全面优化,得到影响单粒率Y1的显著因素顺序为夹种板与接种杯间距X_(3)>夹种板板长X_(1)>夹种板偏角X_(2),影响空穴率Y2的显著因素顺序为夹种板与接种杯间距X_(3)>夹种板偏角X_(2)>夹种板板长X_(1)。优化分析与试验验证结果表明:当取种器中夹种板板长X_(1)为17mm、夹种板偏角X_(2)为40°、夹种板与接种杯间距X_(3)为32mm时,单粒率Y1为92.09%,空穴率Y2为3.35%,与优化结果的相对误差分别为1.57%、3.74%,数值上均小于5%,满足玉米精密排种的作业要求。

杭州世纪中心西天窗索夹抗滑移试验研究

索夹是预应力索结构中拉索与其他构件连接的重要节点构件,若索夹和拉索之间发生滑移,会产生较大的预应力损失,甚至改变结构的受力性能。杭州世纪中心西天窗采用箱形桁架+钢索结构,其结构特殊性决定了拉索在施工张拉和施工完成后的状态不同,即施工张拉时要求拉索对索夹是可相对滑移的,而施工完成后需要锁定拉索和索夹的相对位置,不允许发生滑移。通过拉索施工张拉、高强螺栓紧固力衰减、索夹顶推三个阶段的全过程模拟试验确定了索夹与拉索之间的摩擦力情况。试验结果表明,在拉索施工张拉阶段,索夹对索体产生的摩擦力较小,通过锌板垫层能够有效降低铸钢索夹节点处的摩擦损失,保证拉索张拉过程中索力的有效传递;高强螺栓终拧后12h内会产生不可忽视的紧固力损失;使用阶段索夹的抗滑移承载能力能够确保索夹节点安全。

三电平辅助变流器寿命优化控制

辅助变流系统是动车组车辆上关键的电气组成部分,主要为空调机组、风机、照明等交流负载提供稳定的三相电源。结温是影响动车组三电平辅助变流器IGBT(Insulated-gate Bipolar Transistor)模块寿命的主要因素。为了提高动车组三电平中点钳位(Neutral-Point Clamped,NPC)型辅助变流器寿命,提出一种降低结温的模型预测电流控制(Model Predictive Current Control,MPCC)策略。首先,考虑传统MPCC在每个采样周期需要代入27个电压矢量循环计算,计算量较大,因此将三电平基本电压矢量划分在间隔60°的6个扇区中,通过计算电压矢量在两相静止坐标下的相角,进而判断参考电压矢量所处扇区,将备选矢量数目从27缩减至10,减少了计算量;其次,传统MPCC直接应用于动车组辅助变流器会使IGBT模块的结温较高,老化速度加快,对变流器安全稳定运行产生不可预测的损害,本文对IGBT模块的开关损耗和导通损耗进行近似等效,得到了和集射极电压、集电极电流相关的功率损耗因子。通过预测每相电流的方向,进而预测IGBT模块的开关和导通情况,动态加入功率损耗因子,并在代价函数中约束每相IGBT及其续流二极管(Free Wheeling Diode,FWD)的功率损耗,使得最优电压矢量在降低功率损耗的同时保证一定的控制性能。通过仿真与实验验证,本文所提方法相比传统MPCC策略降低了功率器件的结温,提高了变流器寿命。

急倾斜特厚煤层冲击地压防治探索与总结

急倾斜特厚煤层开采顶板破断运动复杂,应力和能量演化规律特殊,在深部“三高一扰动”影响下,冲击地压防治不容乐观。基于某矿2016年冲击地压事故后急倾斜特厚煤层水平分段开采冲击地压防治经验,从急倾斜特厚煤层水平分段开采冲击地压发生机理、瓦斯突出与冲击地压综合防治和冲击地压管理详细介绍了该矿7年来急倾斜特厚煤层冲击地压防治经验。冲击地压发生机理方面,建立了顶板岩层倾斜悬臂梁模型,揭示了顶、底板覆岩结构破断失稳演化过程,划分了夹持煤体受力状态分区,提出了急倾斜特厚煤层冲击“夹持理论”。瓦斯突出与冲击地压综合防治方面,基于冲击地压灾害控制解危技术的强度弱化减冲理论,结合原有防突措施体系,提出了既能防冲且对防突有利的解危措施,形成了某矿瓦斯/CO_(2)突出-冲击地压“双防”技术体系,建立了适用于某矿急倾斜特厚煤层水平分段开采的冲击地压防治体系,以钻屑量和瓦斯吸解值验证了瓦斯突出防治的强度保障,同时以加强实施卸压措施工作面的微震事件分布及各能级总频次和能量对比,论证说明了卸压方案防治效果的有效性。冲击地压管理方面,形成了预测评价、监测预警、治理预防、效果检验、安全防护和教育培训“六位一体”综合防治架构,基于《煤矿安全规程》和《防治煤矿冲击地压细则》等各项规定,制定了Q/YJMD-—FC 0104-2022《窑街煤电集团有限公司煤矿冲击地压防治第四部分:冲击地压防治技术规范》。

软夹轮压式甘薯移栽机设计与试验

针对甘薯裸苗移栽伤苗率与漏苗率偏高问题,根据人工移栽可实现低伤苗率、低漏苗率的特点,设计可模仿人工移栽的压苗轮和软夹供苗装置。通过分析人工移栽轨迹投影,提取其曲率半径,得到压苗轮半径。对压苗齿进行受力分析推导出压苗齿与加强筋尺寸参数。分析软夹供苗装置两软夹间距并确定取值区间。通过多因素试验优化结构参数,得出最佳作业参数为:作业速度0.7 m·s^(-1),甘薯苗裸露长度11 cm,两软夹间距220 mm。软夹供苗式甘薯移栽机整机设计完成后进行验证试验。结果表明,当移栽机保持0.7 m·s^(-1)速度前进时,可实现伤苗率2.11%,漏苗率2.22%,满足甘薯机械移栽要求。该移栽机采用创新式旋转装置移栽,可对甘薯移栽机设计与优化提供参考。

结构力学位移法实验教学装置开发及教学实践

位移法基本原理是结构力学课程的难点和重点内容,该方法构建的基本系高度抽象,学生在学习过程中普遍感到难。将理论教学与实验教学相结合,开发了位移法基本原理的教学演示装置和实验装置。将基本系中无中生有的“刚臂”以实体部件的形式展现出来,再现“刚臂”的“放松”和“锁住”效果。从演示装置的定性分析和实验装置的定量分析2个角度阐述位移法基本原理,通过这2个装置再现位移法中原结构和基本系的变形过程。学生可以看到“结构”,看到“结构变形”,看到“基本系”及其在外荷载和结点位移单独作用下的2个状态,将抽象的位移法基本系形象化、直观化,加深了学生对位移法基本原理的理解。

中国传统印染技艺研究发展现状

七项传统印染技艺被列入国家级非物质文化遗产代表性项目名录,分别是扎染技艺、蜡染技艺、蓝印花布印染技艺、香云纱染整技艺、艾德莱斯绸织染技艺、蓝夹缬以及和枫香印染技艺。当前研究重点主要有三个方面,包括纹样创新应用、产品设计开发及生产性保护和数字化保护。同时,香云纱染整技艺侧重薯莨染色工艺及河泥作用机理的研究,艾德莱斯绸织染技艺侧重宽幅及双面织物织造工艺的研究。另外,各项传统印染技艺在中国知网文献数量的差异也在一定程度上反映人们对其研究重视程度的不同。

架空线耐张线夹断连对安全备用线夹冲击试验及数值分析

为了探究耐张线夹断连时安全备用线夹承受的冲击载荷及线路关键位置的力学响应,建立了耐张线夹-安全备用线夹-导线耦联瞬断有限元模型。以JL/G1A-630/45-45/7导线为对象,模拟了耐张线夹断连后安全备用线夹单独承受冲击载荷的过程,分析多种档距和高差下耐张线夹断连后安全备用线夹关键位置张力变化。为了验证模型的有效性,开展了多组安全备用线夹受耐张线夹断连冲击试验。研究发现,高差与档距的增加会使安全备用线夹附近节点张力极值和导线振动周期增大。在档距500 m时张力极值和振动周期相较档距为150 m时分别增大了32.08%和140.23%。脱冰跳跃现象的发生会使安全备用线夹附近节点张力极值和导线振动周期减小。增大建立的有限元模型可用于耐张线夹断连冲击数值仿真,在工程当中为避免耐张线夹断连冲击对导线的损伤应减小大档距至500 m以下并降低悬挂点的高度。

马钱子碱抑制豚鼠心室肌细胞钠电流的作用研究

目的本研究旨在分析马钱子碱(brucine)对分离的单个豚鼠心室肌细胞钠电流(INa+)的作用,并探索其抗心律失常的可能机制。方法共选取24只健康的成年豚鼠作为实验对象,雌雄不拘,随机分为4组,每组6只:第1组是未接受任何处理的对照组,之后通过微量加样器使培养皿中brucine药物的终浓度分别达到3μmol/L、10μmol/L、30μmol/L。采用急性酶解法分离获得单个豚鼠心室肌细胞,通过全细胞膜片钳技术测量离子通道电流,以检测不同浓度的brucine对豚鼠心室肌细胞INa+的影响。结果正常的对照组没有明显的INa+电流峰值的变化,而brucine 3μmol/L组给药前后基本不影响INa+电流峰值,当brucine的浓度增加到10μmol/L时,给药前后INa+电流峰值显著下降(P<0.05),在30μmol/L组给药前后INa+电流峰值大幅度减少(P<0.01),并且这种抑制作用呈浓度依赖性。正常对照组及brucine 3μmol/L剂量组中,电流-电压曲线(Ⅰ~Ⅴ曲线)并未受到显著的影响;然而,10μmol/L、30μmol/L剂量组与对照组比较,INa+的Ⅰ~Ⅴ曲线上移,无平行移动,且曲线形状不变。结论Brucine能够通过抑制心室肌细胞钠通道电流发挥抗心律失常作用。

瓶栽鹿茸菇自动采收装置设计与试验

针对瓶栽鹿茸菇工厂化采收装备缺失的问题,提出了一种“输-定-切-夹”采收工艺,并设计了相应的自动采收装置,阐述了装置总体结构及工作原理,确定了整机作业流程。通过对栽培筐输送过程运动学与力学分析,确定了导流条安装角及输送辊筒参数;基于ANSYS LS-DYNA对切割过程进行了仿真分析,以切割速度、进给速度、带锯条前角及齿距为试验因素,以切割反作用力为响应指标,通过响应面法进行了切割性能建模和优化。结合物理试验确定了最优参数组合:切割速度为6.49 m/min、进给速度为0.12 m/min、前角为25°、齿距为7 mm;采用ABAQUS软件对柔性手指弯曲过程进行了仿真,结合物理试验确定了柔性手指最优结构参数为:气腔厚度2 mm、气腔7个、气压25 kPa、限制层厚度3 mm。整机试验表明,装置运行平稳,采收作业效果良好,平均采净率、平均损失率和平均损伤率分别为98.18%、3.66%和2.75%,满足瓶栽鹿茸菇实际采收要求。

显微手术夹闭治疗前循环破裂动脉瘤的预后影响因素

目的探讨影响显微手术夹闭治疗前循环破裂动脉瘤预后的因素。方法回顾性选取2018年1月至2023年6月揭阳市人民医院收治的80例前循环破裂动脉瘤患者,男38例、女42例,年龄(53.28±2.81)岁,入院至手术时间(1.96±0.52)d,临床表现:剧烈头痛48例,轻度头痛31例,意识障碍26例。所有患者均行显微手术夹闭治疗,根据预后分为预后良好组与预后不良组,术后随访6个月,分析其临床资料,应用格拉斯哥预后量表(GOS)对患者预后进行评估,采用χ^(2)检验,以logistic回归方程分析影响预后的相关因素。结果80例患者均随访成功,其中预后良好59例(73.75%),预后不良21例(26.25%);两组年龄、性别、动脉瘤长径、手术时间、出血次数、入院至手术时间比较,差异均无统计学意义(均P>0.05);logistic分析结果显示,术前Hunt-Hess分级、格拉斯哥昏迷量表(GCS)评分、术后脑血管并发症、术后颅内感染、Fisher分级为影响前循环破裂动脉瘤患者预后的危险因素(均P<0.05)。结论影响显微手术夹闭治疗前循环破裂动脉瘤患者预后的因素较多,主要与术前Hunt-Hess分级、GCS评分、术后颅内感染等密切相关。

管卡位置对海管立管的敏感性分析

以海洋平台海管立管为研究对象,考虑实际海况和立管实际结构特点,研究多层立管之间及多层立管与平台之间的受力耦合作用。通过有限元分析软件,建立具有典型代表性的海洋多层立管数值模型。针对管卡位置对海管立管的结构影响,基于管卡位置对海管立管的结构强度和疲劳寿命进行分析。根据分析结果,对管卡的安装位置进行优化,为现场作业提供理论指导,进一步为海上工程设计和施工提供科学依据和安全保障。