Bilateral teleoperation with reducing wave-based reflections

This paper presents a wave-based bilateral teleoperation structure to reduce the wave reflection and enhance the force and speed tracking performance through adjusting the relative parameters. A time domain passive approach is also applied to deal with the passivity of whole system even with non passive environment. The efficiency of the proposed method is confirmed by some experimental results.     

意愿调查法中的偏好不确定性研究综述

对非市场物品和服务,如环境改善和资源保护,进行经济价值评估是学术界面临的一大难题。意愿调查法（Contingent Valuation Method, CVM）作为非市场物品经济价值评估的一种重要方法,其方法论在不断地接受检验并得到改进,近年来一个重要进展是其分析框架由确定偏好假设向不确定偏好假设转变。为系统认识国际上对CVM中受访者偏好不确定性的研究进展、推动国内相关研究,本文在简单介绍产生不确定结果的原因和不确定偏好假设下标准CVM不足的基础上,系统梳理了不确定偏好的测度方法和不确定偏好下价值计算方法,分析了各种方法的优劣以及考虑不确定性对价值估计值大小和估计效率的影响。总体来看,不确定偏好假设已基本形成共识,个人支付意愿应为随机变量也得到广泛支持。多数学者认为借助一定的测度技术获取的不确定性信息是有价值的,而如何更准确地测度和利用偏好不确定程度以提高资源环境等非市场物品价值估计效率应是今后研究的重点。最后,针对既有研究存在的问题,从加强个人偏好及不确定性的异质性研究、改进问卷设计等方面提出对未来研究工作的建议。     

The effect of toxicity on COVID-19 news network formation in political subcommunities on Reddit: An affiliation network approach

Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic mitigation measures in the United States. Social media has been implicated in fueling this polarization. In this paper, we uncover the network of COVID-19 related news sources shared to 30 politically biased and 2 neutral subcommunities on Reddit. We find, using exponential random graph modeling, that news sources associated with highly toxic – “rude, disrespectful” – content are more likely to be shared across political subreddits. We also find homophily according to toxicity levels in the network of online news sources. Our findings suggest that news sources associated with high toxicity are rewarded with prominent positions in the resultant network. The toxicity in COVID-19 discussions may fuel political polarization by denigrating ideological opponents and politicizing responses to the COVID-19 pandemic, all to the detriment of mitigation measures. Public health practitioners should monitor toxicity in public online discussions to familiarize themselves with emerging political arguments that threaten adherence to public health crises management. We also recommend, based on our findings, that social media platforms algorithmically promote neutral and scientific news sources to reduce toxic discussion in subcommunities and encourage compliance with public health recommendations in the fight against COVID-19.     

Until when does the effect of age on academic achievement persist? Evidence from Korean data

According to an analysis of Korean student panel survey data, monthly differences in age had a significant influence on academic achievement until middle school (lower secondary education). However, this age effect did not persist when students graduated from high school (upper secondary education). Furthermore, some evidence is found that younger students, upon entering high school, were more likely to concentrate on academic studies, and less likely to experience minor distractions, thereby compensating for their poor academic achievement in middle school.     

基于反向随机投影的神经网络改进算法

提出基于反向随机局部投影的神经网络效率改进算法，通过降低深度学习中的网络规模，重点解决了从“局部连接”到“全连接”和随机节点抽取时输入端节点信息丢失的问题，从而提升网络的效率。在算法中设置缩减参数，提升了算法的可伸展性，以适用于不同数据集的学习。通过数据集ISO-LET进行实验，结果表明，基于反向随机局部投影的神经网络效率改进算法的准确率、效率分别平均提升了3.48%和105.21%?在迭代20次的实验中进行了缩减参数调节实验，当参数设置为1.4时其准确率则优于传统全连接网络2.61%，效率提升了272.78%，具有明显的优势。     

Sample, Random and Variation: The Vocabulary of Statistical Literacy

This paper considers the development of school students’ ability to define three terms that are fundamental to statistical literacy: sample, random, and variation. A total of 738 students in grades 3, 5, 7, and 9 were asked in a survey to define and give an example for the word “sample.” Of these, 379 students in grades 7 and 9 were also asked about the words “random” and “variation.” Responses were used to describe developmental levels overall and to document differences across grades on the understanding of these terms. Changes in performance were also monitored after lessons on chance and data, emphasizing variation for 335 students. After 2 years, 132 of these students and a further 209 students who were surveyed originally but did not take part in specialized lessons, were surveyed again. The difference after 2 years between the performance of students who experienced the specialized lessons and those who did not was considered, revealing no differences in performance longitudinally. For students in grades 7 and 9, the association of performance on the three terms was explored. Implications for mathematics and literacy educators are discussed.     

脉动式CVT连杆机构的运动规律研究

本文对曲柄摇块式脉动无级变速的传动机构进行了运动分析,从运动学原理对机构进行深入研究,得出该机构的最佳参数,减小脉动及动载荷,降低功率损耗,进而改善其运动及动力性能,     

基于高光谱遥感特征参数的樟树幼林叶绿素a含量估算模型

以ASD公司生产的手持式野外光谱辐射仪测量樟树幼林的冠层光谱,同时对观测叶片进行叶绿素a含量的测定。利用统计相关分析法,分析了高光谱遥感特征参数与叶绿素a含量的相关关系,在此基础上建立了高光谱遥感特征参数的樟树幼林叶绿素a含量估算模型,并对模型进行了精度检验。结果表明:樟树幼林叶绿素a含量与Db、Rg、Rg/Ro、(Rg-Ro)/(Rg Ro)之间的相关系数达到了0.01极显著性检验水平;建立它们与叶绿素a含量的估算模型,通过精度检验,选择出最适合叶绿素a含量估算的高光谱模型:y=exp[1.027 (-348.942)×Db]。     

布卢姆的学习变量说对我国高校教学改革的启示

美国心理学家本杰明.布卢姆在教学实验中发现,影响学习者学习效果的因素很多,但真正对学习者学习效果有决定性影响的因素有三个,即学习者的认知前提能力、学习者的情感特征和教学的质量,它们分别发挥50%、25%和25%的作用。要加快我国高等教育改革的步伐,不断提高我国高等教育的质量,就要在教学改革中注意借鉴布卢姆的研究成果,要采取有效的措施来提高学习者的认知前提能力,帮助学习者树立良好的学习情感特征,不断改进教学工作,提高教学质量。     

带右删失数据的非线性随机效应模型参数估计

本文讨论了带右删失数据的非线性随机效应模型的参数估计,给出Gauss-Newton迭代法和改进后的Gauss-Newton迭代法,根据参数估计和算法给出数值模拟,验证了参数估计和算法的可行性.