An Automatic Classification Pipeline for the Complex Synaptic Structure Based on Deep Learning

As a hallmark of brain complexity, synapses in the nervous system have always received extensive attentions. The diversity of the synaptic structure reflects various functions and mechanisms, some research indicates that, as one of the complex synaptic structures, multiple synapses can strengthen the synaptic connection, what’s more, it is closely associated with the procedure of memory and learning. Accompanied by the fast advancement of electron microscopy (EM) technology, it is possible to detect the composition of multiple synapse with high resolution. On this basis, there have been various meaningful studies concerning the relationship between the multiple synapse and cognitive abilities. Despite the extensive studies have been made by different researchers on multiple synapse, no attention has been paid to the classification accuracy of the type of multiple synapse. The current research puts forward an effective method for the automatic classification of multiple synapse, which should be performed in three steps, namely the segmentation of synaptic clefts, the segmentation of vesicle bands, as well as the segmentation of multiple synapses. According to experimental results based on four data sets, the mean classification rate of the method is approximately 97%. In addition, the experimental result on the public dataset shows that the accuracy can reach 96.5%. The classification results provide a basis for quantitative statistics of follow-up studies. Moreover, this automatic classification method can reduce the time in artificial statistics, and thus researchers can focus more attention on the analysis of statistical results.

     

“分块矩阵”思想在高等代数中的应用——以循环行列式为例

分块矩阵理论是高等代数的重要组成部分,其思想方法贯穿于整个高等代数的教学过程,对高等代数的学习起到至关重要的作用.文章利用"分块矩阵"思想,将一类特殊的循环行列式推广到分块的形式,得到了有趣的结论,丰富和发展了行列式和矩阵的理论.     

汽车安全带卷收器失效形式分析及结构优化

针对汽车安全带卷收器失效的问题,以复合紧急锁止式汽车安全带卷收器为研究对象,简介了 汽车安全带卷收器的工作原理和失效形式;通过分析汽车安全带卷收器失效的原因,提出解决汽车安全带卷 收器支架变形和芯轴断裂的结构优化设计方案;应用 HyperMesh 有限元软件分析,以轻量化为目标,分析了 汽车安全带卷收器结构的应力值和强度值,对比标准表明其结构满足使用性能要求,降低了后期制作样品的 成本,提高了其经济性和技术性,为汽车安全带卷收器设计提供参考。     

基于伪极值点的ALIF方法及其应用

针对自适应局部迭代滤波（Adaptive Local Iterative Filtering，ALIF）方法的模态混叠问题，提出了基于伪极值点的自适应局部迭代滤波（Pseudo-extrema-based Adaptive Local Iterative Filtering，PEALIF）方法.此方法采用增加伪极值点的方式使得信号极值点的分布更均匀，有效地抑制模态混叠问题的同时，亦保证了算法分解的顺序性.详细介绍了EPALIF方法的原理，同时构建仿真信号，将此方法与EMD、EEMD、CEEMD和ALIF方法进行分析和对比.结果表明PEALIF在分解能力、抑制模态混叠和抗噪声干扰等方面都具有一定的优越性.最后，将此方法应用在双半内圈轴承故障诊断中，实验结果表明PEALIF方法能获取更突出且易于辨识的故障特征信息，证实了该方法应用在轴承故障诊断分析上的实用性.     

Hn^＋离子的产生和鉴别

作者从高频离子源产生的离子束中，分析证实存在Ｈ４＾＋和Ｈ５＾＋的团族离子，对１．８ＭｅＶ的Ｈ４＾＋和Ｈ５＾＋信号的能谱测量表明，它们极容易分解成Ｈ４＾＋，Ｈ３＾＋，Ｈ２＾＋（Ｈ２）和Ｈ＾＋（Ｈ）等产物，并从实验事实出发，对Ｈ４＾＋和Ｈ５＾＋的形成和分解反应作了分析讨论。     

硅酸铝纤维陶瓷基复合材料的性能研究

研究了硅酸铝纤维加入量对陶瓷基复合材料强度和抗热震稳定性的影响。利用ｘ－ｒａｙｓ、电镜等实验手段对纤维的补强增韧机理和断裂机理作了理论探讨。