Pulse Wave Analysis in Patients with Coronary Heart Disease Based on Hilbert-Huang Transformation and Time-domain

Objective: To study the characteristics of pulse tracings in CHD, and objectively evaluate the significance of pulse signal in diagnosis and appreciation of therapeutic effect in patients with coronary heart disease(CHD), and accordingly provide with theoretic proofs for developing non-invasive technique of pulse diagnosis. Methods: By using the pulse detection system, pulse graphs in CHD patients, patients without CHD and "health" adults were collected and compared. Then characters of the pulse signal were analyzed with Hilbert-Huang transformation routine (HHT) and time-domain method respectively. Results: There existed characteristic change in pulse graph in CHD. ① h1,h3,h4,h3/h1,t,t5/t4 in time domain parameters of pulse graph increased and w1 was widened. ② 44% of C2 wave in HHT display showed chaotic and disorderly wave and irregularly wave amplitude in CHD. And 72% of C5 Wave exhibited in irregular wave with average wave amplitude over 10 gram-forces. These changes were significantly different from health adults. Conclusion: Characteristic wave of pulse graph extracted with methods of time domain or HHT routine might be considered as proofs for diagnosis and differentiation in CHD. Our researches prognosticate that pulse diagnosis can be used as an ancillary determination in occurrence of CHD for reasons of the advantage of convenient operation and non-invasion.

Laser absorption spectroscopy for high temperature H_2O time-history measurement at 2.55 μm during oxidation of hydrogen

Concentration time-histories of H20 were measured behind reflected shock waves during hydrogen combustion. Experiments were conducted at temperatures of 1117-1282 K, the equivalence ratios of 0.5 and 0.25, and a pressure at 2 atm using a mixture of H2/O2 highly diluted with argon. H2O was monitored using tunable mid-infrared diode laser absorption at 2.55 μm （3920.09 cm-1）. These time-histories provide kinetic targets to test and refine reaction mechanisms for hydrogen. Comparisons were made with the predictions of four detailed kinetic mechanisms published in the last four years. Such comparisons of H2O concentration profiles indicate that the AramcoMech 2.0 mechanism yields the best agreement with the experimental data, while CRECK, San Diego, and HP-Mech mechanisms show significantly poor predictions. Reaction pathway analysis for hydrogen oxidation indicates that the reaction H ＋ OH ＋ M = H20 ＋ M is the key reaction for controlling the H2O formation by hydrogen oxidation. It is inferred that the discrepancy of the conversion percentage from H to H20 among these four mechanisms induces the difference of performance on H2O time-history predictions. This work demonstrates the potential of time-history measurement for validation of large reaction mechanisms.

Discrete time transfer matrix method for dynamics of multibody system with flexible beams moving in space

In this paper, by defining new state vectors and developing new transfer matrices of various elements mov- ing in space, the discrete time transfer matrix method of multi-rigid-flexible-body system is expanded to study the dynamics of multibody system with flexible beams moving in space. Formulations and numerical example of a rigid- flexible-body three pendulums system moving in space are given to validate the method. Using the new method to study the dynamics of multi-rigid-flexible-body system mov- ing in space, the global dynamics equations of system are not needed, the orders of involved matrices of the system are very low and the computational speed is high, irrespec- tive of the size of the system. The new method is simple, straightforward, practical, and provides a powerful tool for multi-rigid-flexible-body system dynamics.

Infinitesimal dividing modeling method for dual suppliers inventory model with random lead times

As one of the basic inventory cost models, the （Q, τ）inventory cost model of dual suppliers with random procurement lead time is mostly formulated by using the concepts of ＂effective lead time＂ and ＂lead time demand＂, which may lead to an imprecise inventory cost. Through the real-time statistic of the inventory quantities, this paper considers the precise （Q, τ） inventory cost model of dual supplier procurement by using an infinitesimal dividing method. The traditional modeling method of the inventory cost for dual supplier procurement includes complex procedures. To reduce the complexity effectively, the presented method investigates the statistics properties in real-time of the inventory quantities with the application of the infinitesimal dividing method. It is proved that the optimal holding and shortage costs of dual supplier procurement are less than those of single supplier procurement respectively. With the assumption that both suppliers have the same distribution of lead times, the convexity of the cost function per unit time is proved. So the optimal solution can be easily obtained by applying the classical convex optimization methods. The numerical examples are given to verify the main conclusions.

Bright and dark soliton solutions for some nonlinear fractional differential equations

In this work, we propose a new approach, namely ansatz method, for solving fractional differential equations based on a fractional complex transform and apply it to the nonlinear partial space-time fractional modified Benjamin-Bona- Mahoney （mBBM） equation, the time fractional mKdV equation and the nonlinear fractional Zoomeron equation which gives rise to some new exact solutions. The physical parameters in the soliton solutions： amplitude, inverse width, free parameters and velocity are obtained as functions of the dependent model coefficients. This method is suitable and more powerful for solving other kinds of nonlinear fractional PDEs arising in mathematical physics. Since the fractional deriva- tives are described in the modified Riemann-Liouville sense.

Exact solutions of nonlinear fractional differential equations by (G'/G)-expansion method

In this paper, we use the fractional complex transform and the （G＇/G）-expansion method to study the nonlinear fractional differential equations and find the exact solutions. The fractional complex transform is proposed to convert a partial fractional differential equation with Jumarie＇s modified Riemann-Liouville derivative into its ordinary differential equation. It is shown that the considered transform and method are very efficient and powerful in solving wide classes of nonlinear fractional order equations.

DEEP-UV CONFOCAL FLUORESCENCE IMAGING AND SUPER-RESOLUTION OPTICAL MICROSCOPY OF BIOLOGICAL SAMPLES

A wide range of techniques has been developed to image biological samples at high spatial and temporal resolution.In this paper,we report recent results from deep-UV confocal fAuorescence microscopy to image inherent emission from fuorophores such as tryptophan,and structured ilumination microscopy(SIM)of biological materials.One motivation for developing deep-UV fhuorescence imaging and SIM is to provide methods to complement our measurements in the emerging field of X-ray coherent diffractive imaging.

Application of DFT in bi-static RCS calculation of complex electrically large targets

To handle the electromagnetic problems of the bi-static radar cross section （RCS） calculation of scatterer in a wide fre- quency band, a finite-difference time-domain （FDTD） extrapolation method combining with discrete Fourier transform （DFT） is pro- posed. By comparing the formulas between the steady state field extrapolation method and the transient field extrapolation method, a novel extrapolation method combining with DFT used in FDTD is proposed when a transient field incident wave is introduced. With the proposed method, the full-angle RCS distribution in a wide fre- quency band can be achieved through one-time FDTD calculation. Afterwards, the back-scattering RCS distributions of a double olive body and a sphere-cone body are calculated. Numerical results verify the validity of the proposed method.

考虑材料时变性的服役中小跨径桥梁横向地震响应分析

构件材料性能会随服役时间的增加而退化,并导致桥梁结构抗震性能存在时变性。为探讨不同服役期下中小跨径桥梁抗震性能变化规律,以3跨预应力混凝土连续桥梁为例,通过分析材料力学性能指标时变性,量化不同服役期构件力学分析模型参数,并考虑桥墩、挡块及支座等构件力学性能退化,采用OpenSees软件建立桥梁有限元分析模型。基于非线性时程分析结果,揭示服役中小跨径桥梁横桥向地震响应时变性。研究结果表明,随着服役时间的增加,材料力学性能发生退化,使中小跨径桥梁各构件抗震能力下降;相同水平地震作用下,中小跨径桥梁主梁及挡块位移响应随服役时间的增加而降低,而桥墩损伤程度加剧,构件震害程度与不考虑构件力学性能时变性时相差较大,其中板式橡胶支座刚度及摩擦系数时变性是关键。因此,在服役中小跨径桥梁抗震分析中,有必要同时考虑桥墩、挡块及支座力学性能退化。

时频电磁技术在黄土塬覆盖区河道砂油藏分布预测中的应用

鄂尔多斯盆地西部黄土塬覆盖区的中生界侏罗系油藏成藏主控因素复杂,在未开展三维地震勘探的区域,仅利用二维地震资料进行钻探的成功率较低。为了提高钻井成功率,针对该区侏罗系河道砂油藏特点,采用时频电磁双侧、双源激发、多线接收的油气检测技术方案。在鄂尔多斯盆地西部ZB地区进行攻关试验,总结了适用于黄土塬覆盖区的时频电磁采集、处理、解释技术方案,即两项针对性采集方案设计和三项针对性处理、解释技术。利用GeoEast软件系统,基于深度学习开展时频电磁多参数智能油气预测。根据时频电磁解释成果,在时频电磁强异常区域部署并完钻Z6井,获得工业油气流,表明时频电磁预测结果与实钻结果吻合,证实了在黄土塬覆盖区利用时频电磁技术对侏罗系薄储层进行油气预测的可靠性。

高并发异构数据库SQL注入攻击检测方法与仿真

异构数据库具有数据量规模庞大、多样性等特点。在高并发条件下,数据库系统会承受大量的查询请求,使得检测出SQL注入攻击数据不具备实时效应。因此,提出高并发异构数据库SQL注入攻击检测方法。通过清洗异构数据库,采用主成分分析方法对数据降维;采用词频-逆文档频率(Term Frequency Inverse Document Frequency,TFIDF)算法对异构数据库攻击数据量化,并提取攻击特征;结合支持向量机(Support Vector Machine,SVM)方法对特征分类,实现异构数据库SQL注入攻击检测。实验结果表明,上述方法检测SQL注入攻击时,当待检测数据量较大时,耗时仅为53ms,且能够适配于所有SQL注入攻击类型。

基于能量均衡的非均匀分簇调度算法

针对无线传感器网络节点能量有限且不可充电的问题,本文提出基于能量均衡的非均匀分簇调度算法(EBNC_CHES)延长网络寿命。EBNC_CHES在麻雀搜索算法的基础上,引入时间竞争机制减少冗余信息获取和能耗传递的同时,采取K-means非均匀分簇均衡簇间网络能量消耗,引入改进的麻雀搜索在簇头选举中均衡簇内能耗。仿真结果表明:该算法与LEACH、EECHS_ISSADE和EESSTBRP相比,冗余信息降低了81%、80%、55%,能耗利用率提高了133%、50%、11.4%,寿命延长了52.8%、43.5%、12.2%。此算法能减少冗余信息,降低网络能耗、延长网络寿命。

基于新型细菌觅食优化算法的飞机动态泊位问题

随着航空运输业的发展,传统手动设计泊位方案已难以满足日益增长的外包维修需求.在外包模式下,如何快速给出高效的动态泊位方案关系到维修任务订单的准点交付,是飞机维修服务公司亟待解决的重要问题.针对飞机泊位进出顺序及碰撞检测特点,构建带时间窗的飞机维修泊位模型.设计自适应趋化学习及交叉协作策略,提出新型细菌觅食优化算法,并设计一系列约束处理机制.研究结果表明,提出的基于矩形碰撞检测方法可有效预防并判断飞机间碰撞阻塞情况.新型细菌觅食优化算法在解决飞机动态泊位问题上展现出搜索精度高、稳定性强等特点.所得高效智能化泊位调度方案有助于在保证维修安全的情况下提升飞机维修服务提供商的维修服务效率,改进维修资源利用率与维修系统的柔性,为企业实现高质量发展打下良好基础.

激光雷达SLAM下移动机器人双目视觉全局定位

移动机器人在未知环境中执行任务时,需精准感知地图环境和其他物体位置,确定其自身位置。为了提高移动机器人的全局定位精度,提出激光雷达SLAM下移动机器人双目视觉全局定位方法。依据双目视觉系统测距原理,选取双目摄像机中的任意一个相机建立主坐标系,构建双目摄像机模型,结合棋盘图与张正友标定法,标定双目摄像机中参数。在此基础上,计算单帧图像特征点的尺度,完成双目视觉初始化,利用权重函数计算任意一个特征点与线、与面之间的加权值和距离值,估计移动机器人的位置,引入非迭代畸变补偿方法,完成对移动机器人的全局定位。测试结果表明,所提方法的定位结果与实际运动位置之间的最小误差为0.1 m,该方法可以精准定位到移动机器人位置,指导移动机器人更好地执行作业任务。

史锁芳治疗感染后咳嗽经验

史锁芳教授认为感染后咳嗽病位在肺,涉及肝脾,病理因素多责之于风、痰、火。临床治疗可根据病程分阶段论治:初期重在宣透,处方以三拗汤加质轻性浮之品;中期以清解郁热为主,辅以疏风散邪,常用桑叶、桑白皮、薄荷等;晚期清热养阴、润肺益气,处方可选麦门冬汤、沙参麦冬汤、清燥救肺汤加减。同时,史教授还善用“风四药”(桑叶、菊花、全蝎、僵蚕)疏风解痉止咳。对于难治性感染后咳嗽,史教授遵循因人制宜、因时制宜原则,因势利导,常获佳效。附验案2则。

可扩展的网络验证技术:研究现状与发展趋势

互联网作为国家信息基础设施的重要组成部分,已经在各个领域发挥着巨大的作用.随着其规模不断扩大和应用持续深入,我们也面临着意图不一致的网络行为可能导致的灾难性危害.为了确保互联网的正常运行和网络行为的一致性,我们迫切需要可部署的网络验证技术,以确保网络运行时的行为与网络运维人员的意图一致.当前已经有许多关于网络验证技术的研究,这些研究帮助用户实现自动检测网络错误,并进一步分析错误产生的原因.然而,为了满足互联网规模不断扩大的需求,可扩展性问题成为在互联网部署网络验证技术的一项重要挑战.即如何在满足时间和空间复杂度约束的前提下,快速发现并排查网络策略的错误,真正将网络验证技术应用于实际,成为一个研究热点.本文从数据面验证和控制面验证两个方面出发,深入研究和总结了现有的网络验证研究工作,并探索了基于时空优化的可扩展性技术,对这些方案的特点进行了系统性分析.最后,本文总结和展望了网络验证可扩展技术的未来研究趋势,为该领域的研究人员提供一定的参考.

基于光电容积脉搏波描记法的柔性血压传感器标定方法研究

基于光电容积脉搏波描记法(Photo Plethysmo Graphy,PPG)的柔性传感器可进行心率(Heart Rate,HR)和血压(Blood Pressure,BP)检测,但是对其检测结果的标定报道甚少.据此,本文提出一种基于模拟血液循环的反射式PPG心率检测和血压标定系统.以蠕动泵来产生脉动流,通过调节其转速的大小来控制模拟血液输送的频率和压力,从而引起弹性乳胶管内模拟血液体积的变化,而改变反射光的信号周期与强度,贴近于人体脉搏测量过程的实际场景.该系统心率检测误差均值为0.27778,95%一致性界限为(-2.59562,3.15117),所测收缩压(Systolic Blood Pressure,SBP)和舒张压(Diastolic Blood Pressure,DBP)的拟合优度分别为0.97185和0.98111.经标定后的柔性PPG传感器对4名志愿者检测的SBP和DBP的平均偏差(Mean Deviation,MD)±标准差(Standard Deviation,SD)均值分别为(1.21±2.16)mmHg和(0.76±2.02)mmHg,均符合且远小于美国医疗仪器促进协会(Association for the Advancement of Medical Instrumentation,AAMI)所制定的衡量血压计精度的标准指标(5±8)mmHg.结果表明,该系统能够准确高效地标定柔性PPG传感器,为实现便携式可穿戴设备的精准血压检测提供标定基础.

时间管理护理程序对腹腔镜子宫肌瘤手术患者术后恢复及舒适度的影响

目的:探讨时间管理护理程序在腹腔镜子宫肌瘤手术(LM)患者中的应用效果。方法:选择2020年7月-2022年2月南阳市中心医院行LM的96例患者,采用随机数表法将其分为两组,每组各48例。对照组患者行常规护理,观察组患者在对照组基础上实施时间管理护理程序。对比两组患者术后恢复、舒适度、并发症、生活质量及护理满意度。两组患者均持续随访1个月。结果:观察组患者术后肠鸣音恢复、腹胀消失、排气、首次下床活动及住院时间均短于对照组,差异有统计学意义(t=3.514、12.472、18.433、7.585、8.245,P<0.05);观察组患者Kolcaba舒适状况量表(GCQ)中的生理、心理、精神、社会文化和环境维度评分均高于对照组,差异有统计学意义(t=4.760、7.230、4.185、3.370,P<0.05);观察组患者并发症发生率(4.17%)低于对照组(16.67%),差异有统计学意义(t=4.019,P<0.05);观察组患者护理后生活质量综合评定问卷(GQOLI-74)中的心理、躯体、社会功能及物质生活维度评分均高于对照组,差异有统计学意义(t=6.122、5.152、5.276、8.556,P<0.05);观察组患者护理满意度(95.83%)高于对照组(87.50%),差异有统计学意义(t=4.019,P<0.05)。结论:时间管理护理程序能够减少LM患者术后并发症的发生,加快恢复速度,改善生活质量,提升护理舒适度与满意度。

基于大语言模型绿电预测和绿电交易的园区综合能源系统集群多目标协同运行方法

为实现传统工业园区数字化和智能化升级,助力区域高质量发展,亟需园区智能化调度模型。为此,该文结合智慧园区管理系统和园区综合能源系统物理模型建立园区综合能源系统集群架构,提出了园区综合能源系统集群绿电交易三阶段协同运行方法,以解决多园区综合能源系统绿电交易的问题,实现分布式绿电的精准预测以及就地消纳。首先,基于大语言模型LLAMA-7B实现绿电预测,进一步以绿电功率划分购售电园区。其次,基于绿电价格配额曲线预测模型和动态绿电定价策略,制定园区间绿电交易差异价格。在此基础上,建立了多目标低碳经济优化运行模型,从而解决绿电交易所带来的经济因素和环境因素的矛盾问题。算例分析表明:所提出的模型可以统筹规划园区综合能源系统集群的经济成本、实际碳排放量和新能源利用率,对多园区综合能源系统的智能调度具有积极的推动作用。

城市轨道交通列车救援方案选择与应用实践

【目的】在高峰时段行车间隔不断缩小的情况下,城市轨道交通一旦发生故障,且在一定时间内无法完成故障处置并动车,故障车后续列车将严重拥堵,故障列车与前车之间会产生较大运行间隔,因此如何快速、安全地采用救援组织方法将故障列车撤离正线尤为重要。【方法】选取后方列车为救援车,以正线就近存车线及车厂(终点站折返线)作为退出服务位置,建立救援方案集;结合事故事件定责情况,以最大晚点时间及连续中断时间最短为优化目标,建立救援路径选择模型。【结果】通过实例进行验证,确定线路不同位置发生故障时最优的救援路径。【结论】救援方案集、救援路径选择模型可应用于不同线路,为调度员组织救援及调整行车提供支撑,保障列车运行秩序,减小对运营服务的影响。