大众化高等教育质量问题

本文我国实施高等教育大众化进程以来所形成的教育质量观进行了简单的介绍，主要有五种被普遍接受的教育质量观，即多样化的质量观、适应性的质量观、发展的质量观、整体性的质量观和特色化的质量观；在上基础上，笔者从扩招导致部分高校教育质量有所下降、精英高等教育向大众化高等教育过渡、管理体制改革滞后于高等教育大众化进程等三方面提出自己的观点，即对高等教育质量的考察应坚持一个质量分层的观点，大众化高等教育应该有一个基本的教育质量目标。     

不同载荷下CuZnAl合金干滑动磨损性能研究

对CuZnAl（RE）形状记忆合金采用不同热处理工艺后,进行了干滑动磨损试验.在不同相变温度、不同载荷、不同磨损时间的条件下,做了CuZnAl（RE）形状记忆合金的干磨损试验,并与ZQSn5-5-5和ZQAl9-4做了对比,用电子扫描显微镜和X衍射仪对磨损表面和磨屑相组成进行了观察和检测.试验结果表明,晶粒细化与锻打能提高合金的耐磨性,合金的M相比β相耐磨,两级时效处理的合金耐磨性能优于分级淬火处理的合金.CuZnAL（RE）形状记忆合金的耐磨性优于ZQSn5-5-5和ZQAl9-4.CuZnAl（RE）形状记忆合金磨损机制主要为粘着磨损、剥离磨损和磨粒磨损.     

气敏陶瓷研究进展

从气敏陶瓷在实际生产生活中的重要应用价值出发,介绍了气敏陶瓷的工作原理、性能及制备方法,并列举了大量典型气敏陶瓷的工作情况及其原理,最后提出了需要努力的方向.     

水热合成刚玉微粉粉体性能与烧结性能研究

通过对水热合成刚玉微粉和电熔刚玉微粉粉体性能和烧结性能的实验研究,表明水热合成刚玉微粉在化学成分、晶体形态、粒度分布、磨削性能和烧结性能等指标上优于电熔刚玉.     

轴类零件精密校直工艺理论及应用研究

文章分析了轴类零件的基本弯曲形式并运用弹塑性力学的基础理论对反弯压点方法的校直工艺理论进行了研究。采用了一种基于行程控制的校直工艺计算方法。在自行研制开发的YH40-10型自动精密液压校直机进行校直实验。并将理论计算结果和实验结果、ANSYS非线性有限元结果对比分析，结果表明此计算方法是有效可行的。     

AZ91D合金SIMA形变组织与共晶熔化激活能的研究

研究了SIMA法制备半固态AZ91D镁合金坯料过程中形变率对形变组织的影响, 并采用DSC技术研究了形变率与共晶熔化激活能的关系.结果表明:随着形变率的增大,合金的原始组织由树枝晶演变为碎块晶,晶粒内存在位错、孪晶缺陷;合金的共晶熔化激活能随形变率的增大而变小,当形变率达到40%时,共晶熔化激活能下降很少;共晶熔化开始温度随形变率的增大略有下降.     

灰铸铁组织对弹性模量的影响

研究了CE、Si/C、石墨形态、基体等对灰铸铁弹性模量的影响。     

DOBNet: exploiting the discourse of deception behaviour to uncover online deception strategies

Online deception is fuelled by the escalated penetration of the Internet and social media. As the threat of online deception increases, understanding deception behaviour and underlying strategies is having a greater social impact. The verbal behaviour of online deception has recently been extended to the discourse level; nevertheless, discourse behaviours have been examined in isolation without referring to other behaviours in the discourse. By conceptualising the discourse of online behaviour as a social network (DOBNet), this research investigates possible impacts of deception intent on the central structures of DOBNet at three different levels: the discourse behaviour, subnetwork, and whole network. The empirical results of discourse network analysis and statistical tests provide partial support for each of the hypothesised effects. The findings not only demonstrate the efficacy of discourse in distinguishing deceivers from truth-tellers but also extend deception theories by confirming deception strategies from the perspective of discourse network and by uncovering unique characteristics of online deception strategies.     

Dual–primal proximal point algorithms for extended convex programming

This paper presents a class of dual–primal proximal point algorithms (PPAs) for extended convex programming with linear constraints. By choosing appropriate proximal regularization matrices, the application of the general PPA to the equivalent variational inequality of the extended convex programming with linear constraints can result in easy proximal subproblems. In theory, the sequence generated by the general PPA may fail to converge since the proximal regularization matrix is asymmetric sometimes. So we construct descent directions derived from the solution obtained by the general PPA. Different step lengths and descent directions are chosen with the negligible additional computational load. The global convergence of the new algorithms is proved easily based on the fact that the sequences generated are Fejér monotone. Furthermore, we provide a simple proof for the O(1/t) convergence rate of these algorithms.