市售夏枯草饮片质量调查及评价标准研究

为了对夏枯草饮片质量进行全面的评价和控制,对市售18批饮片进行了外观性状考察、TLC鉴别以及水分、灰分、浸出物检测,建立了夏枯草饮片HPLC指纹图谱和咖啡酸、迷迭香酸含量测定方法,并结合主成分分析和聚类分析方法用于对不同批次饮片的模式识别。结果表明,18批饮片外观性状均符合药典标准,但少有符合传统对优品夏枯草外观的要求。TLC图谱均可检出迷迭香酸;水分、总灰分、浸出物含量均符合药典要求;酸不溶性灰分除3批外,其余符合药典要求,但不同批次间有较大的差异;指纹图谱的整体相似度较高,批次间主要色谱峰峰面积和批次间咖啡酸、迷迭香酸的含量有较大差异。通过上述研究,对市售饮片质量有了初步了解,建议提高外观评价标准,增加指纹图谱质量评价指标。     

基于SVD的通信信号背景下脉冲波形和初相估计

雷达侦察接收机往往侦察到的是通信和雷达脉冲的混合信号，如何从通信信号背景中有效提取出雷达脉冲波形，是现代雷达信号处理领域中的重要内容。针对这一问题，提出了一种基于奇异值分解的通信与雷达混合信号中脉冲波形估计算法。该算法通过对信号观测矩阵的奇异值分析和协方差矩阵的特征值分析，证明了观测矩阵的奇异值分解具有稳定性，并且奇异值分解能够最佳近似观测信号的线性特征，给出了一种利用左右奇异向量估计脉冲波形及其相对初相的方法。本文的算法适用于任意脉冲波形，并且能够在较低信噪比环境下估计脉冲信号波形和相对相位，仿真结果证明了算法的有效性。     

车用材料有害物质管控策略研究

在源头加强车用材料有害物质管控,是促进汽车行业健康持续发展的重要途径。介绍了车用材料有害物质的主要危害、来源及替代趋势,分析了欧盟和中国有关车用材料有害物质标准法规的状况,给出了我国汽车企业管控策略,旨在提升法规应对能力和促进汽车工业优化升级。     

甲醇气相脱水合成二甲醚反应机理的研究

采用B3LYP,MP2方法在6-311++G(2df,pd)水平上,研究了酸性催化剂条件下甲醇气相脱水合成二甲醚反应的微观机理,找到了可能的反应通道,并得到了各反应通道的反应物、中间体、过渡态和产物的优化构型、谐振频率,解释了Highfield等的实验结论.从键长和能量的变化角度,讨论了化学反应过程中化学键的变化规律,以及反应过程的难易程度,为实验研究二甲醚反应提供理论依据.     

Investigation of silicon on insulator fabricated by two-step O+ implantation

In this paper, we investigated the dose window of forming a continuous buried oxide (BOX) layer by single implantation at the implantation energy of 200 keV. Then, an improved two-step implantation process with second implantation dose of 3×10¹⁵ cm^?2 was developed to fabricate high quality separation by implanted oxygen (SIMOX) silicon on insulator (SOI) wafers. Compared with traditional single implantation, the implantation dose is reduced by 18.2%. In addition, the thickness and uniformity of the BOX layers were evaluated by spectroscopic ellipsometry. Defect-free top Si as well as atomic-scale sharp top Si/buried oxide interfaces were observed by transmission electron microscopy, indicating a high crystal quality and a perfect structure of the SOI fabricated by two step implantation. The top Si/BOX interface morphology of the SOI wafers fabricated by single or two-step implantation was also investigated by atomic force microscopy.     

气相色谱-四极杆飞行时间质谱法同时测定水产品中19种多氯联苯

建立同时测定水产品中19种多氯联苯的气相色谱-四级杆飞行时间质谱法。样品采用丙酮和石油醚混合溶液为提取溶剂,利用分散高速匀质法提取19种多氯联苯,提取液用浓硫酸和层析柱进行双重净化,正己烷洗脱,经气相毛细管柱(HP-5MS)分离,以1.5mL/min流速的氦气作为载气,电子轰击离子源电离,用TOF/MS全扫描模式采集数据,以保留时间和离子精确质量数定性,外标法定量,建立了水产品中19种多氯联苯同时测定的方法。结果显示19种多氯联苯在5.0~500.0μg/L线性良好,相关系数大于0.9986,方法检出限(LOD,S/N=3)介于0.12~1.07μg/kg,方法定量限(LOQ,S/N=10)介于0.40 ~3.57μg/kg。在5.0,10.0,20.0μg/kg 3种加标水平下,19种多氯联苯的平均回收率介于79.6%~103.4%,日内相对标准偏差介于2.2%~9.6%；在20.0,100.0,200.0μg/kg 3种加标水平下,19种多氯联苯的平均回收率介于77.4%~104.6%,日间相对标准偏差介于2.7%~9.8%。结果表明,建立的检测方法准确、灵敏、可靠,可用于水产品中19种多氯联苯的监督检测。     

An Efficient Multidimensional Fusion Algorithm for IoT Data Based on Partitioning

The Internet of Things (IoT) implies a worldwide network of interconnected objects uniquely addressable, via standard communication protocols. The prevalence of IoT is bound to generate large amounts of multisource, heterogeneous, dynamic, and sparse data. However, IoT offers inconsequential practical benefits without the ability to integrate, fuse, and glean useful information from such massive amounts of data. Accordingly, preparing us for the imminent invasion of things, a tool called data fusion can be used to manipulate and manage such data in order to improve process efficiency and provide advanced intelligence. In order to determine an acceptable quality of intelligence, diverse and voluminous data have to be combined and fused. Therefore, it is imperative to improve the computational efficiency for fusing and mining multidimensional data. In this paper, we propose an efficient multidimensional fusion algorithm for IoT data based on partitioning. The basic concept involves the partitioning of dimensions (attributes), i.e., a big data set with higher dimensions can be transformed into certain number of relatively smaller data subsets that can be easily processed. Then, based on the partitioning of dimensions, the discernible matrixes of all data subsets in rough set theory are computed to obtain their core attribute sets. Furthermore, a global core attribute set can be determined. Finally, the attribute reduction and rule extraction methods are used to obtain the fusion results. By means of proving a few theorems and simulation, the correctness and effectiveness of this algorithm is illustrated.     

电子实验教学中心教学改革探索和实践

实验教学是高等院校培养合格人才的不可缺少的实践平台，与课堂教学、科研在高校里的重要性是相同的。改革旧的实验教学模式，符合经济时代对人才培养所提出的高标准要求，南京大学通过电子实验教学中心实验教学改革的探索和实践对素质教育和创新人才培养取得了一定的成绩。     

提高高校图书馆社科期刊利用率之我见

阐述了社科期刊流通的意义及必要性,提出了社科期刊流通的措施,指出了社科期刊流通是对图书馆文献资源的一种有益补充。