Bézier曲线的升阶及程序实现

基于Bézier曲线的升阶算法,探讨了程序开发的关键技术,并在Visual C++6.0环境下开发Bézier曲线的升阶程序,曲线升阶在界面中可动态实现.     

静力拉伸对跆拳道运动员最大肌力及肌电的影响

静力拉伸作为提高运动员柔韧性素质的主要手段之一，可以有效提高运动员柔韧素质，但有研究指出大强度、长时间静力拉伸会影响运动员的爆发力水平。对静力拉伸与无静力拉伸的情况进行实验对比分析，以30名近期腿部无大损伤的山东大学男性跆拳道专选学生为被试对象，对其分别施加蹬车和蹬车，拉伸两套不同方案的训练，然后对最大肌力、力量-时间曲线的主要指标，以及参与工作部位的肌电图进行对比分析，分析拉伸对运动员以上指标的影响，研究结果显示适量的拉伸练习不会显著地影响上述指标，从而提出适宜拉伸训练的负荷强度、时机，为科学训练提供依据。     

浅谈Giffen商品

在当今商品世界中存在一类特殊的商品,当它的价格上涨时人们对它的需求量没有下降反而增加,人们称这类商品为Giffen商品。对于到底是否存在Giffen商品目前还存在争论,但是Giffen这个概念的出现已经是不争的事实,专家和学者对于这样一种商品存在性的争论已经持续了150年之久,因为Giffen商品存在的条件非常苛刻导致Giffen案例也极为罕见,它是一种低劣的日常必需品,但消费支出占消费者收入的很大比重,所以Giffen商品是对收入仅能维持生存或者稍微有点宽裕的消费群体而言的。本文主要基于假设当商品价格上涨时,消费者对于商品在效用不变的情况下,找出了Giffen商品判断的临界点来判断Giffen商品的存在性。     

基于Logistic回归模型的人口预测分析

Logistic函数在人口、资源、环境和生态诸多系统的预测中是一个非常重要的模型．然而,Logistic模型中参数的确定又是一件较困难的事情．本文基于数值微分和最小二乘曲线拟合对Logistic回归模型进行参数估计,据此计算了我国1980年到2005年总人口数的误差,并预测了2015年我国的人口总数。     

基于椭圆曲线的RFID标签访问安全机制研究

射频识别（Radio Frequency Identification,RFID）系统中读写器对标签的读写最为频繁,为了保证电子标签的安全,在开放信道内,读写信息不能以明文形式传输,需要采用高安全等级的密钥管理系统,弥补电子标签自身的安全设计不足,保证电子标签的安全运行。在分析各种加解密方案的基础上,提出了基于椭圆曲线的RFID标签访问安全适用的解决方案,为RFID信息安全做出探索性研究。     

Accuracy of Estimates and Statistical Power for Testing Meditation in Latent Growth Curve Modeling

The latent growth curve modeling (LGCM) approach has been increasingly utilized to investigate longitudinal mediation. However, little is known about the accuracy of the estimates and statistical power when mediation is evaluated in the LGCM framework. A simulation study was conducted to address these issues under various conditions including sample size, effect size of mediated effect, number of measurement occasions, and R ₂ of measured variables. In general, the results showed that relatively large samples were needed to accurately estimate the mediated effects and to have adequate statistical power, when testing mediation in the LGCM framework. Guidelines for designing studies to examine longitudinal mediation and ways to improve the accuracy of the estimates and statistical power were discussed.     

Detecting Misspecification in Mean Structures for Growth Curve Models: Performance of Pseudo R 2s and Concordance Correlation Coefficients

This study examined the performance of 4 correlation-based fit indexes (marginal and conditional pseudo R ²s; average and conditional concordance correlations) in detecting misspecification in mean structures in growth curve models. Their performance was also compared to that of 4 traditional SEM fit indexes. We found that the marginal pseudo R ² and average concordance correlation were able to detect misspecification in the marginal mean structure (average change trajectory). The conditional pseudo R ² and concordance correlation could detect misspecification when it occurred in the conditional mean structure (individual change trajectory) or in both mean structures. Compared to the SEM fit indexes, the correlation-based fit indexes were more robust to sample size but were less robust to data properties such as magnitude of population mean and measurement error. Theoretical and practical implications of the results and directions for future research are discussed.     

Fitting Nonlinear Latent Growth Curve Models With Individually Varying Time Points

Individual growth trajectories of psychological phenomena are often theorized to be nonlinear. Additionally, individuals’ measurement schedules might be unique. In a structural equation framework, latent growth curve model (LGM) applications typically have either (a) modeled nonlinearity assuming some degree of balance in measurement schedules, or (b) accommodated truly individually varying time points, assuming linear growth. This article describes how to fit 4 popular nonlinear LGMs (polynomial, shape-factor, piecewise, and structured latent curve) with truly individually varying time points, via a definition variable approach. The extension is straightforward for certain nonlinear LGMs (e.g., polynomial and structured latent curve) but in the case of shape-factor LGMs requires a reexpression of the model, and in the case of piecewise LGMs requires introduction of a general framework for imparting piecewise structure, along with tools for its automation. All 4 nonlinear LGMs with individually varying time scores are demonstrated using an empirical example on infant weight, and software syntax is provided. The discussion highlights some advantages of modeling nonlinear growth within structural equation versus multilevel frameworks, when time scores individually vary.     

分光光度法测定全铁和亚铁的改进

将分光光度法测定全铁和亚铁的试验进行改进,使实验结果测定更加准确。通过国标法和改进后方法绘制的标准曲线进行对比,并对刚果红试纸的加入,比色皿皿差和单、双倍空白对标准曲线的影响进行分析。结果表明:改进后方法绘制的标准曲线优于国标法;国标法在调节pH值过程中,刚果红试纸的加入对结果产生严重影响,导致标准曲线的大大偏离实际值,而比色皿皿差对结果也产生一定的影响较小。     

椭圆曲线的Bézier多项式逼近

椭圆曲线是计算机辅助几何设计中基本且重要的曲线.本文首先利用Tchebyshev多项式去逼近椭圆,再在此基础上得到插值椭圆首、末端点的n次Bézier多项式逼近.该算法可以逼近整椭圆,而且适合圆的逼近.