基于Modbus/TCP的电容式扭矩传感器数据采集系统设计

扭矩传感器通常安装于机械设备的旋转关节处,用于扭矩的测量。电容式扭矩传感器需要配备专门的数据采集系统才能使用,且数据采集系统的性能直接影响传感器的精确测量。针对实验室自主研制的电容式扭矩传感器的应用需求,设计了一种基于Modbus/TCP协议的数据采集系统。系统以STM32为主控芯片,通过控制电容数字转换芯片AD7147实现电容信号采集与转换,然后由W5500以太网芯片将数据上传到自主开发的上位机软件中进行处理、显示与存储。实验测试表明:系统最大测量误差为1.47%,数据输出频率为1000 Hz。

TCP1表达对HL60和HL60/A 细胞增殖及细胞内药物蓄积的调控作用及其机制

目的:研究TCP1表达对HL60及HL60/A细胞增殖及细胞内药物蓄积的影响及其机制。方法:利用慢病毒转染技术构建敲低、过表达TCP1的HL60/A细胞和HL60细胞及其对照组细胞,Western blot评估敲低、过表达效率。采用CCK-8法检测细胞增殖能力;激光共聚焦显微镜及流式细胞术检测细胞内的药物蓄积;流式细胞术及Western blot检测膜转运蛋白(MRP1、P-gP)及p-AKT的表达水平。结果:在HL60/A细胞中敲低TCP1的表达能够抑制细胞增殖,增加细胞内药物蓄积,降低转运蛋白MRP1及P-gP的表达,在HL60细胞中过表达TCP1能够促进细胞的增殖,减少细胞内药物蓄积,提高转运蛋白MRPI及P-gP的表达。同时利用PI3K抑制剂LY294002抑制PI3K/AKT信号能够拮抗TCP1过表达所致的细胞增殖活性增强、细胞内药物蓄积减少及MRP1、P-gP表达的升高。结论:TCP1能够促进细胞增殖,并通过激活PI3K/AKT信号促进转运蛋白MRP1、P-gP的表达,降低细胞内的药物蓄积。

针对车地传输TCP协议优化的TTI-RTT拥塞控制算法

为适应铁路5G专用移动通信系统动态易变的网络环境,解决现有算法中存在的吞吐量减少、传输时延增加、检测数据车地传输可靠性难以保证的问题,在分析传输控制协议(TCP)传输拥塞控制过程,以及对比TCP-Reno,TCP-Vegas和TCP-Westwood 3种基础拥塞控制算法存在问题的基础上,提出一种联合传输时间间隔(TTI)和往返时延(RTT)的拥塞控制算法——TTI-RTT算法,即将RTT的成对比较测试统计量和网络当前拥塞因子联合起来作为网络拥塞判断标准,根据反映网络拥塞程度的拥塞因子动态调节加性和乘性因子,并在传输控制协议拥塞控制的不同条件下灵活调整传输时间间隔。采用NS-3仿真软件,构建考虑高速铁路5G-R无线信道误码影响的点对点通信网络拓扑结构,对TTI-RTT拥塞控制算法进行仿真验证,并与3种基础算法进行性能比较。结果表明:不同丢包率下所提算法的平均吞吐量均保持在9 Mb·s^(-1)以上,较基础算法中吞吐量最高且最稳定的TCP-Reno算法增加了约5.9%,且实时吞吐量稳定性具有显著改善。

枣树novel-miR16靶基因ZjTCP4鉴定及生物信息学分析

TCPs转录因子主要通过调节细胞增殖和植物激素途径来调控植物器官发生和形态构型,探究枣树ZjTCP4转录因子的序列特征及其表达特性,以期为TCP转录因子响应干旱胁迫的机理研究提供参考,也可以为后续对枣树分子育种奠定基础。novel-miR16的二级结构具有miRNA典型的发夹结构,为枣树miR319家族成员;靶基因ZjTCP4的降解位点多数都在novel-miR16结合位点的第10和11个核苷酸的位置;生物信息学分析表明,ZjTCP4基因的全长cDNA序列为1386 bp,预测编码452个氨基酸的多肽,预测编码蛋白的等电点(pI)为6.51,分子量为49091.55 u;应该是一个膜内或膜外蛋白,为非分泌性蛋白,为亲水性蛋白质,定位于细胞核;枣树ZjTCP4基因编码的氨基酸序列与拟南芥AtTCP4最为相似,与拟南芥AtTCP17,AtTCP 18和AtTCP 12的相似性也较高;枣树novel-miR16在响应干旱胁迫的过程中上调表达,而其靶基因ZjTCP4在干旱胁迫下下调表达。枣树novel-miR16通过靶向调控ZjTCP4转录因子响应干旱胁迫,干旱胁迫下枣树novel-miR16的上调表达导致靶基因ZjTCP4(CCG006181)下调表达来提高枣树的耐旱性。

茉莉花TCP基因家族全基因组鉴定及其表达分析

为探讨茉莉花TCP基因家族在其生长发育过程中的作用,基于茉莉花的基因组数据,利用生物信息学方法对茉莉花TCP(JsTCP)基因进行了全基因组鉴定及分析,并分析了TCP基因家族在花发育不同时期和花粉-柱头互作中的表达水平。结果显示,茉莉花全基因组中共鉴定出27个TCP基因家族成员,命名为JsTCP1~JsTCP25,其蛋白包含208~539个氨基酸残基,分子量为22.95~56.96 ku,等电点为5.70~9.97,均为不稳定的亲水性蛋白。亚细胞定位预测结果显示,JsTCPs均位于细胞核内。染色体定位结果显示,JsTCPs不均匀分布在10条染色体上。基因结构分析结果显示,JsTCPs具有1~5个外显子以及0~4个内含子。蛋白保守基序和系统进化分析结果显示,JsTCPs均含保守的TCP结构域,可分为ClassⅠ和ClassⅡ2个亚类。启动子顺式作用元件的分析结果显示,JsTCPs启动子上含有多个植物激素响应、胁迫响应和生长发育相关等元件。表达模式分析结果显示,24个JsTCPs基因在茉莉花花发育不同时期表达,22个基因在花粉-柱头互作中表达。总之,本研究鉴定了27个茉莉花TCP基因家族成员,并发现家族成员在花发育不同时期和授粉后不同时期特异表达。

基于TCP通信协议与区块链的财务信息数据共享方法

为了优化财务信息数据共享效果,提高数据共享传输的安全性与完整性,本文开展了基于TCP通信协议与区块链的财务信息数据共享方法研究。首先,采用预查询技术,检索财务信息数据,找出共享所需要的数据;其次,利用区块链技术,对检索到的财务信息数据进行加密处理,保证数据的安全性;在此基础上,利用TCP通信协议,设计数据共享传输机制,实现财务信息数据安全共享。实验结果表明,提出的方法应用后,数据共享误码率较低,说明该方法共享的财务信息数据更加准确,数据的可信度、安全性与完整性较高。

TCP协议以及多路径传输协议研究进展

文章主要研究了TCP传输协议以及MPTCP多路径网络传输的研究进展。首先,文章对TCP的传输原理以及各项问题和应用进行研究,引用若干典型案例阐述TCP传输协议的优势及其存在的局限性,给出相应建议和改进措施;其次,提出了MPTCP多路径网络传输是当下一种提高网络速度可行、高效的方式,但MPTCP在公平性、安全性、网络速度等方面还存在问题,故未达到可以全面普及的程度;最后,详细介绍了MPTCP多路径网络传输协议的发展趋势与难题,提出采用做多路径传输的代理的方式可以优化传输性能。

Mother-to-Child Transmission of Human Papillomavirus in Burkina Faso

Introduction: Human papillomavirus (HPV) infection is the most widespread sexually transmitted infection in the world. Today, there is growing evidence that HPV can be transmitted early in life, and one potential route is mother-to-child transmission. Data on this route of HPV transmission are scarce in Africa and particularly in Burkina Faso, where no data on the subject are yet available. The aim of our study was to estimate the rate of mother-to-child transmission of HPV infection and to identify circulating genotypes. Methodology: Cervico-uterine samples were collected from 100 full-term pregnant women and, buccal samples were obtained from their newborns at Hopital Saint Camille de Ouagadougou (HOSCO) by the specialist physician. HPV DNA amplification and genotyping were performed by PCR followed by hybridization using the HPV Direct Flow Chips kit, detecting 36 genotypes including 18 high-risk and 18 low-risk. Results: The prevalence of HPV in newborns was 8% (8/100). Six (6) HPV-positive neonates had HPV-positive mothers, while 2 HPV-positive neonates had HPV-negative mothers. The vertical transmission rate was 26.09% (6/23). Mother-newborn genotypes were concordant. However, the genotype profile of the newborns was more restricted than that of the mothers. Conclusion: HPV DNA was found in 8% of newborns in our study. The genotype profile of the mother-newborn pair was concordant. Asymptomatic HPV infection in a pregnant woman could constitute a risk factor for vertical transmission.

Effects of cross-Kerr coupling on transmission spectrum of double-cavity optomechanical system

We theoretically study the transmission spectrum of the cavity field in a double-cavity optomechanical system with cross-Kerr(CK) effect. The system consists of two tunneling coupling optomechanical cavities with a mechanical resonator as a coupling interface. By doping CK medium into the mechanical resonator, CK couplings between the cavity fields and the mechanical resonator are introduced. We investigate the effects of CK coupling strength on the transmission spectrum of the cavity field, including the transmission rate, nonreciprocity and four-wave mixing(FWM). We find that the transmission spectrum of the probe field can show two obvious transparent windows, which can be widened by increasing the CK coupling strength. For the transmission between the two cavity fields, the perfect nonreciprocity and reciprocity are present and modulated by CK coupling and phase difference between two effective optomechanical couplings. In addition, the effects of the optomechanical and CK couplings on FWM show that the single peak of FWM is split into three symmetrical peaks due to the introduction of the CK effect.

基于十字交叉激光法的机器人TCP校准系统开发

在工业机器人应用于弧焊、点焊、涂胶等接触任务过程中,为实现工具中心点(TCP)位姿误差高效校准,提出基于U形激光测量传感器的TCP非接触式测量系统。该系统采用十字交叉激光法进行误差模型测量和更新末端工具坐标,实现机器人预设运行轨迹的自动修正,克服了离线编程中因工具坐标系发生偏移而导致的焊接质量的不确定性。系统通过TCP校准程序测量TCP与机器人末端法兰中心的相对位置,校准结果重复精度优于0.6077 mm,验证测量结果的准确性和运动轨迹精度。

An Encode-and CRT-Based Scalability Scheme for Optimizing Transmission in Blockchain

Blockchain technology has witnessed a burgeoning integration into diverse realms of economic and societal development.Nevertheless,scalability challenges,characterized by diminished broadcast efficiency,heightened communication overhead,and escalated storage costs,have significantly constrained the broad-scale application of blockchain.This paper introduces a novel Encode-and CRT-based Scalability Scheme(ECSS),meticulously refined to enhance both block broadcasting and storage.Primarily,ECSS categorizes nodes into distinct domains,thereby reducing the network diameter and augmenting transmission efficiency.Secondly,ECSS streamlines block transmission through a compact block protocol and robust RS coding,which not only reduces the size of broadcasted blocks but also ensures transmission reliability.Finally,ECSS utilizes the Chinese remainder theorem,designating the block body as the compression target and mapping it to multiple modules to achieve efficient storage,thereby alleviating the storage burdens on nodes.To evaluate ECSS’s performance,we established an experimental platformand conducted comprehensive assessments.Empirical results demonstrate that ECSS attains superior network scalability and stability,reducing communication overhead by an impressive 72% and total storage costs by a substantial 63.6%.

A semantic segmentation-based underwater acoustic image transmission framework for cooperative SLAM

With the development of underwater sonar detection technology,simultaneous localization and mapping(SLAM)approach has attracted much attention in underwater navigation field in recent years.But the weak detection ability of a single vehicle limits the SLAM performance in wide areas.Thereby,cooperative SLAM using multiple vehicles has become an important research direction.The key factor of cooperative SLAM is timely and efficient sonar image transmission among underwater vehicles.However,the limited bandwidth of underwater acoustic channels contradicts a large amount of sonar image data.It is essential to compress the images before transmission.Recently,deep neural networks have great value in image compression by virtue of the powerful learning ability of neural networks,but the existing sonar image compression methods based on neural network usually focus on the pixel-level information without the semantic-level information.In this paper,we propose a novel underwater acoustic transmission scheme called UAT-SSIC that includes semantic segmentation-based sonar image compression(SSIC)framework and the joint source-channel codec,to improve the accuracy of the semantic information of the reconstructed sonar image at the receiver.The SSIC framework consists of Auto-Encoder structure-based sonar image compression network,which is measured by a semantic segmentation network's residual.Considering that sonar images have the characteristics of blurred target edges,the semantic segmentation network used a special dilated convolution neural network(DiCNN)to enhance segmentation accuracy by expanding the range of receptive fields.The joint source-channel codec with unequal error protection is proposed that adjusts the power level of the transmitted data,which deal with sonar image transmission error caused by the serious underwater acoustic channel.Experiment results demonstrate that our method preserves more semantic information,with advantages over existing methods at the same compression ratio.It also improves the error tolerance and packet loss resistance of transmission.

Inferring Mycobacterium Tuberculosis Drug Resistance and Transmission using Whole-genome Sequencing in a High TB-burden Setting in China

Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking.Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns.Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023–1.954;P=0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains.Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.

A Novel Fractional Dengue Transmission Model in the Presence of Wolbachia Using Stochastic Based Artificial Neural Network

The purpose of this research work is to investigate the numerical solutions of the fractional dengue transmission model(FDTM)in the presence of Wolbachia using the stochastic-based Levenberg-Marquardt neural network(LM-NN)technique.The fractional dengue transmission model(FDTM)consists of 12 compartments.The human population is divided into four compartments;susceptible humans(S_(h)),exposed humans(E_(h)),infectious humans(I_(h)),and recovered humans(R_(h)).Wolbachia-infected and Wolbachia-uninfected mosquito population is also divided into four compartments:aquatic(eggs,larvae,pupae),susceptible,exposed,and infectious.We investigated three different cases of vertical transmission probability(η),namely when Wolbachia-free mosquitoes persist only(η=0.6),when both types of mosquitoes persist(η=0.8),and when Wolbachia-carrying mosquitoes persist only(η=1).The objective of this study is to investigate the effectiveness of Wolbachia in reducing dengue and presenting the numerical results by using the stochastic structure LM-NN approach with 10 hidden layers of neurons for three different cases of the fractional order derivatives(α=0.4,0.6,0.8).LM-NN approach includes a training,validation,and testing procedure to minimize the mean square error(MSE)values using the reference dataset(obtained by solving the model using the Adams-Bashforth-Moulton method(ABM).The distribution of data is 80% data for training,10% for validation,and,10% for testing purpose)results.A comprehensive investigation is accessible to observe the competence,precision,capacity,and efficiency of the suggested LM-NN approach by executing the MSE,state transitions findings,and regression analysis.The effectiveness of the LM-NN approach for solving the FDTM is demonstrated by the overlap of the findings with trustworthy measures,which achieves a precision of up to 10^(-4).

Dynamics of information diffusion and disease transmission in time-varying multiplex networks with asymmetric activity levels

While the interaction between information and disease in static networks has been extensively investigated,many studies have ignored the characteristics of network evolution.In this study,we construct a new two-layer coupling model to explore the interactions between information and disease.The upper layer describes the diffusion of disease-related information,and the lower layer represents the disease transmission.We then use power-law distributions to examine the influence of asymmetric activity levels on dynamic propagation,revealing a mapping relationship characterizing the interconnected propagation of information and diseases among partial nodes within the network.Subsequently,we derive the disease outbreak threshold by using the microscopic Markov-chain approach(MMCA).Finally,we perform extensive Monte Carlo(MC)numerical simulations to verify the accuracy of our theoretical results.Our findings indicate that the activity levels of individuals in the disease transmission layer have a more significant influence on disease transmission compared with the individual activity levels in the information diffusion layer.Moreover,reducing the damping factor can delay disease outbreaks and suppress disease transmission,while improving individual quarantine measures can contribute positively to disease control.This study provides valuable insights into policymakers for developing outbreak prevention and control strategies.

Deep Learning-Based Secure Transmission Strategy with Sensor-Transmission-Computing Linkage for Power Internet of Things

The automatic collection of power grid situation information, along with real-time multimedia interaction between the front and back ends during the accident handling process, has generated a massive amount of power grid data. While wireless communication offers a convenient channel for grid terminal access and data transmission, it is important to note that the bandwidth of wireless communication is limited. Additionally, the broadcast nature of wireless transmission raises concerns about the potential for unauthorized eavesdropping during data transmission. To address these challenges and achieve reliable, secure, and real-time transmission of power grid data, an intelligent security transmission strategy with sensor-transmission-computing linkage is proposed in this paper. The primary objective of this strategy is to maximize the confidentiality capacity of the system. To tackle this, an optimization problem is formulated, taking into consideration interruption probability and interception probability as constraints. To efficiently solve this optimization problem, a low-complexity algorithm rooted in deep reinforcement learning is designed, which aims to derive a suboptimal solution for the problem at hand. Ultimately, through simulation results, the validity of the proposed strategy in guaranteed communication security, stability, and timeliness is substantiated. The results confirm that the proposed intelligent security transmission strategy significantly contributes to the safeguarding of communication integrity, system stability, and timely data delivery.

Characterization of local chemical ordering and deformation behavior in high entropy alloys by transmission electron microscopy

Short-range ordering(SRO)is one of the most important structural features of high entropy alloys(HEAs).However,the chemical and structural analyses of SROs are very difficult due to their small size,complexed compositions,and varied locations.Transmission electron microscopy(TEM)as well as its aberration correction techniques are powerful for characterizing SROs in these compositionally complex alloys.In this short communication,we summarized recent progresses regarding characterization of SROs using TEM in the field of HEAs.By using advanced TEM techniques,not only the existence of SROs was confirmed,but also the effect of SROs on the deformation mechanism was clarified.Moreover,the perspective related to application of TEM techniques in HEAs are also discussed.

建筑主题包装大假山TCP工艺和城堡GRP制作安装

耀雪冰雪世界项目目前在建造实施过程中,鉴于项目主题乐园属性,主题包装是呈现整体观感效果的关键工序,尤其体现在项目大假山TCP工艺和城堡大量GRP构件上。通过新工艺、新材料的应用,满足技术可靠、安全性、规范性要求,取得了良好的施工效果,可为类似项目的施工提供参考。

Design and Analysis of Power and Transmission System of Downhole Pure Electric Command Vehicle

Electric vehicles use electric motors, which turn electrical energy into mechanical energy. As electric motors are conventionally used in all the industry, it is an established development site. It’s a mature technology with ideal power and torque curves for vehicular operation. Conventional vehicles use oil and gas as fuel or energy storage. Although they also have an excellent economic impact, the continuous use of oil and gas threatened the world’s reservation of total oil and gas. Also, they emit carbon dioxide and some toxic ingredients through the vehicle’s tailpipe, which causes the greenhouse effect and seriously impacts the environment. So, as an alternative, electric car refers to a green technology of decarbonization with zero emission of greenhouse gases through the tailpipe. So, they can remove the problem of greenhouse gas emissions and solve the world’s remaining non-renewable energy storage problem. Pure electric vehicles (PEV) can be applied in all spheres, but their special implementation can only be seen in downhole operations. They are used for low noise and less pollution in the downhole process. In this study, the basic structure of the pure electric command vehicle is studied, the main components of the command vehicle power system, namely the selection of the drive motor and the power battery, are analyzed, and the main parameters of the drive motor and the power battery are designed and calculated. The checking calculation results show that the power and transmission system developed in this paper meets the design requirements, and the design scheme is feasible and reasonable.

Experiences of Mothers on the Utilization of Elimination of Mother to Child Transmission of HIV Services at Mtendere Clinic, Lusaka

Introduction: Acquired immunodeficiency syndrome is one of the leading causes of mortality among women of reproductive age and Mother to Child Transmission of Human immunodeficiency virus is still a challenge affecting many countries. Globally, an estimation of 180,000 children under 15 years acquire the Human immunodeficiency virus every day, and more than 90% of those infections are due to Mother to Child Transmission. The study sought to explore the experiences of mothers on the Elimination of Mother to Child Transmission-HIV services at Mtendere Clinic, Lusaka. Materials and Methods: Qualitative interpretive phenomenology study design was employed using in-depth interviews to collect data from a sample that was selected using purposive sampling technique. Thirteen participants were recruited, and these were HIV-positive mothers at least between the ages of 15 and 49 years and enrolled in the Elimination of Mother To Child Transmission-HIV program. The in-depth interviews were audiotape recorded and transcribed verbatim. Data was analyzed using thematic method. Findings: Three main themes that emerged are;living with HIV, support system and barriers to utilization of Elimination of Mother To Child Transmission-HIV services. Most of the participants expressed having acquired knowledge from the program, and received counselling and support from spouses, family as well as health personnel at Mtendere health facility which culminated into a positive experience and enhanced their uptake of the Elimination of Mother to Child Transmission-HIV services. However, barriers to service utilization were identified and these included fear of stigma, negative attitudes from health workers, long waiting times, lack of support and lack of transport to the health facility. Conclusion: Interventions such as community awareness campaigns on Elimination of Mother To Child Transmission-HIV, male involvement and implementing mother-to-mother peer support strategies in Elimination of Mother To Child Transmission-HIV service utilization should be prioritized so as to alleviate stigma and enhancing a positive experience for these mothers thus reducing on the Mother to Child HIV Transmission burden and mortality rates.