基于有序Logistic回归模型的北京高校男生有氧能力

为探索北京高校男生有氧能力的影响因素,通过随机抽样法抽取134名18~25岁北京高校男生,空腹抽静脉血测血液指标,用德国MetaMax 3B系统实时监测气体代谢,通过线性递增方案测得VO2max相对值。基于Spearman相关、有序Logistic回归等分析方法进行分析处理。结果表明：北京高校男生有序Logistic回归方程：Ln{P(Y≤1|x)/1-P(Y≤1|x)}=-2.757-0.067*X1-0.025*X2+0.066*X3+0.018*X4-0.009*X5;Ln{P(Y≤2|x)/1-P(Y≤2|x)}=-0.771-0.067*X1-0.025*X2+0.066*X3+0.018*X4-0.009*X5（X1=体重、X2=心率(heart rate, HR)、X3=每搏输出量(stroke volume, SVI)、X4=心室射血时间(ventricular ejection time, VET)、X5=血红蛋白(hemoglobin, HGB)）。回归方程模型系数综合检验步(step)、块(block)、模型(model)检验的P值均小于0.01;拟合优度检验的-2对数似然值(-2LL)为159.374,Cox&SnellR2为0.331,NagelkerkeR2为0.373;预测等级1准确率为45.5%,等级2准确率为100%,等级3准确率为100%,综合为81.8%,说明Logistic回归模型性能良好。Hosmer和Lemeshow检验预测值与观望值无显著性差异（P>0.05）。可见北京高校男生定量负荷心功能、血液指标与有氧能力的多元Logistic回归模型拟合度较好,且HR、SVI、VET、HGB是有氧运动能力的重要预测因素。     

Micro-expression recognition algorithm based on the combination of spatial and temporal domains

Aiming at the problem of unsatisfactory effects of traditional micro-expression recognition algorithms,an efficient micro-expression recognition algorithm is proposed,which uses convolutional neural networks(CNN) to extract spatial features of micro-expressions,and long short-term memory network(LSTM) to extract time domain features.CNN and LSTM are combined as the basis of micro-expression recognition.In many CNN structures,the visual geometry group(VGG) using a small convolution kernel is finally selected as the pre-network through comparison.Due to the difficulty of deep learning training and over-fitting,the dropout method and batch normalization method are used to solve the problem in the VGG network.Two data sets CASME and CASME II are used for test comparison,in order to solve the problem of insufficient data sets,randomly determine the starting frame,and a fixedlength frame sequence is used as the standard,and repeatedly read all sample frames of the entire data set to achieve trayersal and data amplification.Finallv.a hieh recognition rate of 67.48% is achieved.     

消除音响系统噪声的几种方法

阐述了舞台演出、现场扩音等音响系统产生噪声的主要原因——设备的连接不当、是设备本身固有噪声、是电源的干扰噪声,研究了消除音响系统噪声几个主要方法——阻抗匹配、电平匹配、屏蔽、消除设备本身固有噪声、消除灯光可控硅的噪声干扰和电网电源的杂波干扰。对音响系统正常工作进一步降低噪声具有深远的意义。     

Overexpression and export of Vibrio anguillarum metalloprotease in Escherichia coli

Vibrio anguillarum metalloprotease, an extracellular zinc metalloprotease involved in the virulence mechanism of Vibrio anguillarum, is synthesized from the empA gene as a 611-residue precursor and naturally secreted via Sec secretion pathway in Vibrio anguillarum. In this study, heterologous expression of the empA gene encoding metalloprotease and export of the recombinant metalloprotease in Escherichia coli were examined. The empA gene was subcloned into pBAD24 with arabinose promoter and sequenced. The sequence encoded a polypeptide (611 amino acids) consisting of four domains: a signal peptide, an N-terminal propeptide, a mature region and a C-terminal propeptide. The empA gene inserted in plasmid pBAD24 was overexpressed in TOP10 strain of E. coli after arabinose induction. The 36kDa polypeptide of the recombinant metalloprotease as the mature protease was further confirmed by SDS-PAGE and immunoblotting. It was found that recombinant metalloprotease with the EmpA activity and antigenicity was exported into the periplasm of Escherichia coli cells via Sec translocation pathway, whereas it was secreted into extracellular environments in V. anguillarum. The results imply that the expression, export and processing mechanism of the protein in E. coli are similar to those in V. anguillarum.     

Design and passive analysis of a novel softness display device

Simulating the softness property of object is quite a challenge in virtual reality system. A novel softness display system was developed based on the principle of deformable length of elastic element control （DLEEC）. In the system, the equivalent stiffness of the device is adjustable, and is inversely proportional to the third power of the deformable length of elastic beam. PD position control is employed to guarantee the accurate softness display. The softness of the virtual objects in large scale can be felt with the softness display device. Compared with other haptic devices, the device is passive and exert the react force only when the operator ＂actively touch＂ the virtual objects. The stability of the softness display system was analyzed. It was theoretical proved that the system satisfied the criteria of wide impedance range ＂Z-width＂, and the performance was superior to an active system. The experimental results were presented.     

相同条件下大样本沥青混合料的疲劳性能

采用一个沥青混合料小梁试件大样本,在相同条件下进行了应变控制疲劳试验研究,分析了沥青混合料试件疲劳寿命、初始模量和累计耗散能的分布规律,探讨了疲劳寿命与初始模量和累计耗散能的关系,以及疲劳寿命、初始模量和累计耗散能与试件空隙率之间的关系.试验结果表明:应变控制疲劳寿命数据的离散性大;沥青混合料的疲劳寿命、累计耗散能和初始模量呈三参数W eibull分布和对数三参数W eibull分布,三参数W eibull分布可以用于分析沥青混合料的疲劳数据;相同条件下,试件的疲劳寿命与初始模量数据线性和对数线性负相关,与累积耗散能数据呈现非常良好的线性正相关,疲劳寿命对数和累积耗散能对数与空隙率负相关性较好;初始模量与空隙率的相关性不明显.文中的研究结果验证和揭示了沥青混合料的应变控制疲劳破坏规律.     

磁带库随机I/O缓冲调度算法的性能

为了提高磁带设备的在线存储效率,提出了一种磁带库缓冲调度算法.该算法采用磁盘驱动器做缓存,将磁带库设备虚拟为逻辑块设备使用.同时,提出了主动写回以及读预取方法,将磁带库的随机读写操作顺序化,以改善系统随机读写性能.文中还对算法性能进行了详细分析,并利用仿真方法对算法进行了测试,结果证明系统集合I/O和单I/O响应时间能够得到明显改善.     

现代网络业务流的几个基本定律

为了采用有物理意义的参数,在多个时间尺度下对现代网络业务流进行建模,考察了网络流量长相关(LRD)的基本特征,提出了业务流中满足的几个基本定律,揭示了在流量中描述LRD定量关系的参数cγ(或cf)、流量聚集级m、平均到达率l之间的基本关系,并通过实际测量的数据加以验证.所提出的定律表明:(1)流量确实存在LRD行为;(2)平均到达率(TCP和IP流等)与参数cγ(或cf)存在一定的统计定量关系.     

复合土钉墙中搅拌桩对变形及土钉拉力的影响

复合土钉墙中的水泥搅拌桩对于减小基坑水平位移、改善土钉的受力状态有重要作用,但目前对于搅拌桩在复合土钉墙中这一作用的研究多局限在定性探讨,未进行较为量化的分析,在复合土钉墙的设计中也一般将搅拌桩作为安全储备.文中通过对复合土钉墙的有限元分析,对复合土钉墙中不同搅拌桩排数、长度及不同土层情况进行了对比研究.结果表明,设置不同排数的搅拌桩对于复合土钉墙的受力机理、变形特性、土钉拉力大小及分布均有较大影响,1~2排搅拌桩较为合理,过多的搅拌桩排数可能会导致复合土钉墙出现重力式挡墙的受力、变形性态,增加上部土钉的拉力.     

基于组合策略的印刷公式符号切分方法

对公式符号切分这一公式识将符号分离与符号合并策略相结合,提取公式符号的方法,对具有包含关系的符号进行分离操作,而对由多个连通部件构成的符号进行合并处理.实验表明,该方法能够较好地适应公式特点,具有较高的准确性.