My Jump 2应用程序测量大学生下肢垂直刚度的信度和效度

背景:证实My Jump 2应用程序测量下肢垂直刚度的信效度水平,可为其作为Kistler三维测力台测量下肢垂直刚度的替代方法提供可能性。目的:验证My Jump 2应用程序测量大学生下肢垂直刚度的信效度。方法:通过Kistler三维测力台和My Jump 2应用程序采集受试者的跳深数据并计算受试者的下肢垂直刚度。采用组内相关系数分析My Jump 2应用程序与Kistler三维测力台测得的数据,以验证My Jump 2应用程序的信度。将2个设备之间的偏倚值和平均值绘制成Bland-Altman图,验证2种测试方法之间的一致性。最后,使用克朗巴哈系数(α)和变异系数分析My Jump 2应用程序在30,40 cm高度的重测信度,使用皮尔逊积矩相关系数分析My Jump 2应用程序的相关性。结果与结论:①My Jump 2应用程序在测量下肢垂直刚度时具有较高的信效度;②同时由于其具有低成本、携带便捷和可用于大样本的场地测试的优势,可作为测力台的替代工具在大学生以及类似人群中对下肢垂直刚度进行测试。

A fringe jump counting method for the phase measurement in the HCN laser interferometer on EAST and its FPGA-based implementation

Electron density in fusion plasma is usually diagnosed using laser-aided interferometers. The phase difference signal obtained after phase demodulation is wrapped, which is also called a fringe jump. A method has been developed to unwrap the phase difference signal in real time using FPGA, specifically designed to handle fringe jumps in the hydrogen cyanide(HCN) laser interferometer on the EAST superconducting tokamak. This method is designed for a phase demodulator using the fast Fourier transform(FFT) method at the front end. The method is better adapted for hardware implementation compared to complex mathematical analysis algorithms, such as field programmable gate array(FPGA). It has been applied to process the phase measurement results of the HCN laser interferometer on EAST in real time. Electron density results show good confidence in the fringe jump unwrapping method. Further possible application in other laser interferometers, such as the POlarimeter-INTerferometer(POINT)system on EAST tokamak is also discussed.

Fault Estimation for a Class of Markov Jump Piecewise-Affine Systems: Current Feedback Based Iterative Learning Approach

In this paper, the issues of stochastic stability analysis and fault estimation are investigated for a class of continuoustime Markov jump piecewise-affine(PWA) systems against actuator and sensor faults. Firstly, a novel mode-dependent PWA iterative learning observer with current feedback is designed to estimate the system states and faults, simultaneously, which contains both the previous iteration information and the current feedback mechanism. The auxiliary feedback channel optimizes the response speed of the observer, therefore the estimation error would converge to zero rapidly. Then, sufficient conditions for stochastic stability with guaranteed performance are demonstrated for the estimation error system, and the equivalence relations between the system information and the estimated information can be established via iterative accumulating representation.Finally, two illustrative examples containing a class of tunnel diode circuit systems are presented to fully demonstrate the effectiveness and superiority of the proposed iterative learning observer with current feedback.

Study of a Hydraulic Jump in an Asymmetric Trapezoidal Channel with Different Sluice Gates

In this study,the main properties of the hydraulic jump in an asymmetric trapezoidal flume are analyzed experimentally,including the so-called sequent depths,characteristic lengths,and efficiency.In particular,an asymmetric trapezoidal flume with a length of 7 m and a width of 0.304 m is considered,with the bottom of the flume transversely inclined at an angle of m=0.296 and vertical lateral sides.The corresponding inflow Froude number is allowed to range in the interval(1.40<F1<6.11).The properties of this jump are compared to those of hydraulic jumps in channels with other types of cross-sections.A relationship for calculating hydraulic jump efficiency is proposed for the considered flume.For F1>5,the hydraulic jump is found to be more effective than that occurring in triangular and symmetric trapezoidal channels.Also,when■mes>8 and■>5,the hydraulic jump in the asymmetrical trapezoidal channel downstream of a parallelogram sluice gate is completely formed as opposed to the situation where a triangular sluice is considered.

Asynchronous Learning-Based Output Feedback Sliding Mode Control for Semi-Markov Jump Systems: A Descriptor Approach

This paper presents an asynchronous output-feed-back control strategy of semi-Markovian systems via sliding mode-based learning technique.Compared with most literature results that require exact prior knowledge of system state and mode information,an asynchronous output-feedback sliding sur-face is adopted in the case of incompletely available state and non-synchronization phenomenon.The holonomic dynamics of the sliding mode are characterized by a descriptor system in which the switching surface is regarded as the fast subsystem and the system dynamics are viewed as the slow subsystem.Based upon the co-occurrence of two subsystems,the sufficient stochastic admissibility criterion of the holonomic dynamics is derived by utilizing the characteristics of cumulative distribution functions.Furthermore,a recursive learning controller is formulated to guarantee the reachability of the sliding manifold and realize the chattering reduction of the asynchronous switching and sliding motion.Finally,the proposed theoretical method is substantia-ted through two numerical simulations with the practical contin-uous stirred tank reactor and F-404 aircraft engine model,respectively.

Modified filter for mean elements estimation with state jumping

To investigate the real-time mean orbital elements(MOEs)estimation problem under the influence of state jumping caused by non-fatal spacecraft collision or protective orbit trans-fer,a modified augmented square-root unscented Kalman filter(MASUKF)is proposed.The MASUKF is composed of sigma points calculation,time update,modified state jumping detec-tion,and measurement update.Compared with the filters used in the existing literature on MOEs estimation,it has three main characteristics.Firstly,the state vector is augmented from six to nine by the added thrust acceleration terms,which makes the fil-ter additionally give the state-jumping-thrust-acceleration esti-mation.Secondly,the normalized innovation is used for state jumping detection to set detection threshold concisely and make the filter detect various state jumping with low latency.Thirdly,when sate jumping is detected,the covariance matrix inflation will be done,and then an extra time update process will be con-ducted at this time instance before measurement update.In this way,the relatively large estimation error at the detection moment can significantly decrease.Finally,typical simulations are per-formed to illustrated the effectiveness of the method.

Inverse Spectral Problem for Sturm-Liouville Operator with Boundary and Jump Conditions Dependent on the Spectral Parameter

In this paper, the inverse spectral problem of Sturm-Liouville operator with boundary conditions and jump conditions dependent on the spectral parameter is investigated. Firstly, the self-adjointness of the problem and the eigenvalue properties are given, then the asymptotic formulas of eigenvalues and eigenfunctions are presented. Finally, the uniqueness theorems of the corresponding inverse problems are given by Weyl function theory and inverse spectral data approach.

基于Jump-SBERT的二进制代码相似性检测技术研究

二进制代码相似性检测技术在不同的安全领域中有着重要的作用。针对现有的二进制代码相似性检测方法面临计算开销大且精度低、二进制函数语义信息识别不全面和评估数据集单一等问题,提出了一种基于Jump-SBERT的二进制代码相似性检测技术。Jump-SBERT有两个主要创新点,一是利用孪生网络构建SBERT网络结构,该网络结构能够在降低模型的计算开销的同时保持计算精度不变;二是引入了跳转识别机制,使Jump-SBERT可以学习到二进制函数的图结构信息,从而更加全面地捕获二进制函数的语义信息。实验结果表明,Jump-SBERT在小函数池(32个函数)中的识别准确率可达96.3%,在大函数池(10000个函数)中的识别准确率可达85.1%,比最先进(State-of-the-Art,SOTA)的方法高出36.13%,且Jump-SBERT在大规模二进制代码相似性检测中的表现更加稳定。消融实验表明,两个主要创新点对Jump-SBERT均有积极作用,其中,跳转识别机制的贡献最高可达9.11%。

功能性踝关节不稳男性下蹲跳过程中下肢的生物力学特征

背景:踝关节作为人体的末端承重关节,承受着机体自上而下的压力,这导致踝关节在运动中很容易发生损伤,诱发功能性踝关节不稳,对日常生活造成负面影响。研究功能性踝关节不稳患者在下蹲跳过程中的下肢生物力学表现,对实现科学训练、预防踝关节损伤以及伤后临床康复提供理论参考具有重要意义。目的:探究功能性踝关节不稳患者下蹲跳过程中的下肢运动学与动力学特征。方法:于2023年3-9月在苏州大学招募男性功能性踝关节不稳患者与健康人群各15名,年龄22-28岁,所有受试者均完成下蹲跳试验。采用Vicon红外高速运动捕捉系统和Kistler三维测力台对两组受试者在下蹲跳起跳阶段、离地瞬间时刻、初始着地时刻和垂直地面反作用力峰值时刻的下肢运动学和动力学指标进行同步采集及对比分析。结果与结论:(1)离地瞬间时刻,与健康对照组的匹配侧相比,功能性踝关节不稳组患侧显示出了更小的膝关节内旋力矩(P=0.020)、更小的踝关节内旋力矩(P=0.009)。(2)落地瞬间时刻,与健康对照组的匹配侧相比,功能性踝关节不稳组患侧显示出了更小的髋关节屈曲角度(P=0.039);功能性踝关节不稳组相较于健康对照组显示出了更小的髋关节外展角度(P=0.022)、更小的膝关节内翻角度(P=0.010)、更大的膝关节外旋角度(P=0.021)、更小的踝关节内翻角度(P=0.004)、更小的踝关节外旋角度(P=0.008)。(3)垂直地面反作用力峰值时刻,功能性踝关节不稳组相较于健康对照组显示出了更小的踝关节内翻角度(P=0.044);(4)结果说明,功能性踝关节不稳者在下蹲跳动作中相较于健康人群存在异常的下肢生物力学特征,主要表现为离地与落地瞬间时刻,下肢关节在矢状面和额状面的运动学和动力学指标变化。这些改变反映出功能性踝关节不稳人群在执行下蹲跳时采用了僵硬的起跳与着陆模式,倾向于将患侧踝关节负荷转移至下肢其他关节,并显示出健侧下肢的代偿现象。因此,检测和纠正异常生物力学特征应该成为功能性踝关节不稳者康复训练的一部分。

The Effect of Climatic Jump on the Agricultural Production in Shenyang

Using conventional mathematical statistics,linear regression and the standard deviation,the quantitative analysis was made on the climate changes in Shenyang.The results showed that the trend of precipitation reduced 155 mm,which was made the greatest contribution by summer and autumn.It decreased 43 mm on the average after the climate jump.The precipitation variability in spring increased and drought risk in spring increased.The first soaking rain limited the spring planting time.The temperature trend raised 1.3℃,mainly in spring and winter.The frost-free period extended about 13 d.The accumulated temperature trends in crop growing season increased 290℃ and it had an average increase of 178℃ after the climate jump.This trend of climate warming made the end of last frost advanced.Early sowing of crops suitably was possible,which was beneficial for agricultural production.The precipitation decrease,the time delay and instability of the first soaking rain were unfavorable for crop growth and seeding.And they became the factors that constrained the normal growth and stabile yield raise of crops.

T-Jump/FTIR技术研究3,4-二硝基呋咱基氧化呋咱快速热裂解

采用温度快速跃迁原位池与快速扫描傅里叶变换红外联用(T-Jump/FTIR)技术在0.1-0.4MPa压强范围内研究了3,4-二硝基呋咱基氧化呋咱(DNTF)的快速热裂解.试验是以1000℃·s-1的升温速率在800和1000℃的温度下进行,用快速扫描傅里叶变换红外光谱实时跟踪分析DNTF裂解的气相产物.结果表明,DNTF快速热裂解的主要产物CO、CO2、NO和NO2的相对摩尔浓度c*与温度和压强有关,通过分析相对摩尔浓度比(c*NO/c*NO2)随温度和压强的变化,揭示了DNTF中碳硝基C—NO2存在均裂生成NO2和异构化生成NO两条竞争分解的可能途径,同时压强可能抑制呋咱环和氧化呋咱环生成NO的可能性.压强升高使c*CO和c*CO2升高,而使c*CO/c*CO2下降,证明DNTF的分解中存在非均相的气相/凝聚相反应和均相的气相产物间反应的二次或三次过程.

用T-jump/FTIR研究MnCP、NiCP和PbCP的快速热分解(英文)

ClO4)2 (MnCP),(ClO4)2 (NiCP) and (ClO4) 2 (PbCP) (CHZ=Carbohydrazide) were flash pyrolyzed at different temperatures und er the set pressure by T-jump/FTIR spectroscopy. The results show that twelve ga s products obtained during the flash pyrolysis process of the three complexes we re CO2, CO, HCl, HCN, NH3, NO2, N2O, NO, HNCO, HONO, H2C=O and H2O, of which CO2 , HCN and HCl were the main gas products and CO2 was the most novel product. NH3 was oxidized to NO2, N2O and H2O. At least some of the N2O might result from th is reaction. Additionally, the effect of temperature on the gas products is disc ussed and the concentration-time change curves of the main gas products are give n.

人民币短期利率行为研究方法的一个改进——双指数Jump-GARCH-Vasicek模型的构建与应用

受货币政策调控频率提升及大型新股申购等因素的影响,近年来人民币短期利率表现出明显的跳跃行为。为了更准确地描述利率跳跃行为,本文通过假设跳跃幅度服从双指数分布构建一个能刻画短期利率波动聚类、均值回复和跳跃行为的双指数Jump-GARCH-Vasicek模型。利用人民币短期利率数据,将双指数JumpGARCH-Vasicek模型与Vasicek模型、GARCH-Vasicek模型、正态Jump-Vasicek模型、双指数Jump-Vasicek模型、正态Jump-GARCH-Vasicek模型进行实证对比分析。研究结果表明,人民币短期利率确实存在GARCH效应、均值回复和跳跃行为,且双指数Jump-GARCH-Vasicek模型较其它模型能更好地刻画人民币短期利率的跳跃行为。

T-JUMP/FTIR联用技术研究RDX的热裂解过程

用T-JUMP/FTIR技术研究了模拟燃烧条件下RDX的热裂解过程。通过分析裂解产物随时间的分布规律及温度与压力对裂解过程的影响,提出了RDX可能的快速热裂解机理及影响快速热裂解机理的因素。结果表明,RDX裂解气相产物主要有CO2、N2O、NO2、HNCO、NO、CO和HCN,且在不同的测试条件下产物的相对含量有明显变化:在600℃、0.1～0.4MPa条件下,裂解5s以内的NO2与NCN含量比随压力的升高而下降;HCN与N2O含量比随压力的提高而增大;在0.1MPa压力条件下,随着温度的升高,HCN与N2O的含量比趋向于增大。RDX快速热裂解的初期存在两个竞争反应,即C—N和N—N键的断链竞争反应;提高温度和在0.1～0.4MPa压力范围内提高压力对生成HCN的N-N键断裂反应有利。

包含Jump-Arch过程的利率模型及其应用

从4个方面对比分析了 Jump-Arch 扩散模型、跳跃扩散模型、Arch 扩散模型和扩散模型,发现 Jump-Arch 扩散模型是研究中的最优模型,它在解释和预测利率的波动方面表现出很强的能力,跳跃不仅是利率均值回复的来源,也是利率波动的最主要来源,因此对利率动态行为的描述必须考虑跳跃过程.同时研究发现,R091国债回购市场波动存在明显的"周一"和"周五效应",并利用 Jump-Arch 扩散模型解释了出现这种异象的原因.

高氯酸三碳酰肼合锌([Zn(CHZ)_3](ClO_4)_2)的T-jump/FTIR快速热分解研究

用T-jump/FT-IR在线分析技术对[Zn(CHZ)3](ClO4)2(ZnCP)的快速热分解过程进行了研究,在0.1MPa的Ar2条件下,ZnCP以一定的升温速率达到设定的温度快速分解,用快速扫描傅立叶变换红外光谱跟踪分析分解产物的种类和浓度变化,解析出了12种红外活性气体。研究结果表明,在快速热分解过程所生成的12种气相产物中CO2的浓度最高,NH3和HCN为主要的含氮气相产物,含碳气相产物以CO2和CO为主,并给出了主要气相产物的浓度随时间的变化曲线。

GARCH-Jump模型对跳行为捕捉能力的讨论

讨论了GARCH-Jump模型的自回归结构对跳行为的影响,阐述了该模型在两种情况下由跳引发的数据失真.分析了模型跳部件与连续路径部件之间不能等同视之原因,得出GARCH模型不能适用于处理带跳金融数据的结论.最后提出了TGARCH-Jump模型的思想修正由无条件跳带来的数据失真.

人工和天然草地对青年女性跳跃落地时下肢生物力学表现的影响

背景:研究发现运动者解剖结构、激素水平、神经肌肉功能等内部因素与前交叉韧带损伤风险密切相关,而运动场地材质等外部因素也成为影响非接触性前交叉韧带损伤发生的危险因素之一,但目前研究中对其关注度相对不足。目的:探讨人工草地和天然草地对青年女性跳跃落地时下肢生物力学表现影响。方法:根据测试需要将符合GB/T 20033.3-2006以及GB/T 19995.1-2005标准的人工草地和天然草地平整固定于2块三维测力台上。21名青年女性自愿受试者分别在人工草地和天然草地完成跳跃落地任务。受试者站立于台阶上随后向前跳跃,跳落至测力台后立即全力纵跳并再次落至测力台上,2次落地均要求双脚分别落至2块测力台上,整个跳跃动作流畅无停顿视为成功。同步采集下肢落地过程中运动学、动力学及肌电数据,比较分析二者差异。结果与结论:①动力学方面,在天然草地进行跳跃落地任务时初始触地时刻后向地面反作用力、纵向地面反作用力显著低于在人工草地时(P<0.05;P<0.01);峰值地面反作用力时刻二者亦显著低于在人工草地时(P<0.05;P<0.05),且表现出更高的膝关节屈曲力矩(P<0.01)。②肌电方面,在天然草地进行跳跃落地任务时初始触地时刻后100 ms内股内侧肌、股外侧肌、胫骨前肌肌电活动水平显著低于在人工草地时(P<0.05;P<0.01;P<0.05)。③结果说明,在人工草地进行跳跃落地任务时较天然草地时会出现使前交叉韧带张力升高的生物力学表现。

带有Jump干扰的SIRS随机传染病模型的性质（英文）

研究了带有Jump干扰的SIRS随机传染病模型.通过利用Lyapunov函数的方法,证明了当初始条件为正值时,模型有唯一的全局正解.并且调查了围绕着无病平衡点及地方病平衡点的解的渐近行为.

不同拉伸方式对健康人膝关节肌肉力量及垂直纵跳表现的即刻影响

背景:静态拉伸可有效改善关节运动幅度,而动态拉伸通过肌肉的激活后增强效应,有效提高肌肉力量及运动表现。目的:探讨不同类型的拉伸方式对膝关节肌肉力量及垂直纵跳表现产生的即刻影响,为寻求最佳拉伸方案、提高运动表现、预防训练损伤提供理论支撑。方法:随机招募30名健康大学生,采用Biodex等速肌力测试仪、Qualisys红外动作捕捉系统及AMTI三维测力台分别采集股四头肌/腘绳肌静态拉伸、股四头肌/腘绳肌动态拉伸、股四头肌动态/腘绳肌静态拉伸、股四头肌静态/腘绳肌动态拉伸后的膝关节肌肉力量及垂直纵跳数据,利用膝关节峰值力矩、平均功率、纵跳高度、垂直地面反作用力峰值及关节运动幅度评估膝关节肌肉力量及垂直纵跳表现。结果与结论:(1)与股四头肌/腘绳肌静态拉伸相比,股四头肌/腘绳肌动态拉伸可显著提高膝关节峰值力矩、平均功率及纵跳高度(P<0.05),股四头肌动态/腘绳肌静态拉伸和股四头肌静态/腘绳肌动态拉伸分别提高伸膝和屈膝峰值力矩和平均功率(P<0.05);(2)与股四头肌/腘绳肌静态拉伸相比,股四头肌静态/腘绳肌动态拉伸后的第二垂直地面反作用力峰值显著下降(P<0.05);股四头肌/腘绳肌动态拉伸后的下肢关节运动幅度显著增加(P<0.05);(3)提示即刻的原动肌/拮抗肌动态拉伸和原动肌动态/拮抗肌静态拉伸可显著提高膝关节肌肉力量、垂直纵跳表现及关节运动幅度;较大的运动幅度有利于提高运动表现,并在着地时更好地吸收地面冲击力;同时,原动肌动态/拮抗肌静态拉伸对膝关节肌肉力量的提升效果优于原动肌/拮抗肌动态拉伸,原动肌静态拉伸/拮抗肌动态拉伸有利于提高垂直纵跳落地时的能量吸收能力,降低落地时损伤的风险。