半直线上积分方程逼近解

针对许多应用问题中,核函数性质不好,精确解不能得到,须考虑逼近解的情况,讨论半直线上积分方程的逼近解.对定义于L2[0,∞)的积分算子,给出截断算子的定义,赋予核函数简洁的条件,证明了相应积分算子的有界性、正则性和截断算子的紧性,得到截断逼近定理.在此基础上研究L2范数下半直线上积分方程的逼近解,得到解的逼近方式,建立了逼近估计定理.对于特殊类型的方程,得到了幂型和指数型逼近估计.从实例看出,对一类积分方程,逼近解的效果十分理想.     

独立学院法学专业实践教学探讨

法学实践教学是法学教育的重要组成部分,根据独立学院培养高素质应用型法律专门人才的目标,法学实践教学应侧重于法律职业能力训练。文章结合浙江理工大学科技与艺术学院教学现状,分析目前独立学院法学实践教学中存在的问题,并提出相应完善的措施。     

汾河沉积物中重金属污染及生态风险评价

研究针对汾河太原段的沉积物进行采样,对重金属进行分析。测定结果表明：汾河太原段沉积物中重金属的含量很高,4种重金属之间、12个采样点之间含量差别较大;含量反映了工业排放是造成汾河太原段重金属含量高的主要原因。重金属污染状况评价表明：所研究的4种重金属都处于中等以上污染水平,污染程度排行为：Pb〉Cr〉Cu〉Ni;对采样点进行综合污染状况评价表明,所有采样点均处于一个较高或很高的污染水平,污染最严重的是胜利桥和涧河。潜在生态风险评价表明：Cu处于较高的潜在生态风险,Pb、Cr和Ni处于中、低的潜在风险;采样点的潜在风险评价表明：胜利桥、涧河和南沙河的综合潜在生态风险处于较高水平。     

一步法合成(R)-α-硫辛酸

为提高(R)-α-硫辛酸(Ⅱ)合成收率,降低生产成本,以R体α-甲基苄胺拆分6,8-二氯辛酸得到的(R)-6,8-二氯辛酸(Ⅰ)为原料,在水相中采用一步法合成Ⅱ。讨论了摩尔比、反应温度、滴加时间等诸因素对产物收率及比旋光度的影响,获得了较优合成条件:拆分反应中,n(6,8-二氯辛酸)∶n〔(R)-α-甲基苄胺〕=1∶0.48,反应温度35℃,盐酸酸化;取代反应中,n(Ⅰ)∶n(二硫化钠)=1∶1.2,反应温度75℃,滴加时间3.0 h。在该优化条件下,Ⅱ的总收率为30.0%,并在该条件下,将6,8-二氯辛酸投料量扩大至600 g,Ⅰ投料量扩大至222.0 g,所得Ⅱ平均总收率可达34.3%。     

Metallo-Supramolecular Polymerization: A Route to Easy-To-Process Organic/Inorganic Hybrid Materials

The self-assembly polymerization of ditopic macromolecules via metal–ligand binding is a facile route for the preparation of metallo-supramolecular polymers (MSPs). We herein review our recent work focused on the synthesis and investigation of metallo-supramolecular polymers based on 2,6-bis(1′-methylbenzimidazolyl)pyridine endcapped poly(p-phenylene ethynylene) and poly(p-xylene) macromonomers. These materials are readily solution-processable and display appreciable mechanical properties as well as other attractive properties such as specific opto/electrical functions or high thermal stability. Our work illustrates that metallosupramolecular polymerization offers an attractive approach to assemble high-molecular-weight macromolecules from well-defined, easy to process precursors. Variation of the ditopic ligands and metal ions allows one to easily tailor the desired properties. This paper is dedicated to Professor Ian Manners and his scientific accomplishments.     

Water as a Promoter of the Complete Oxidation of Volatile Organic Compounds over Uranium Oxide Catalysts

The effect of water addition on the complete oxidation of benzene and propane VOCs by uranium oxide catalysts has been investigated. Benzene oxidation was studied using a silica supported U₃O₈ catalyst. Complete oxidation is promoted by the addition of 2.6% water compared with the reactivity when no water is added to the reactant feed. Increasing the water concentration to 12.1% resulted in a suppression of oxidation activity. Investigation of propane oxidation using U₃O₈ shows a dramatic promotion of activity. Propane conversion was ca. 50% at 600 °C without added water, whilst it increased to 100% at 400 °C with the addition of 2.6% water. A comparison of oxidation activity has been made with Mn₂O₃, an oxide recognised for complete oxidation. In contrast to the U₃O₈ catalysts the addition of 2.6% water suppresses the activity of Mn₂O₃. In situ powder X-ray diffraction studies showed that the bulk U₃O₈ structure was stable under all the reaction conditions. The origin of the increased activity is not clear but may be due to modification of the catalyst surface and the contribution from new reaction pathways such as steam reforming.     

无线网络通信中离群失联节点定位仿真分析

无线网络节点中的离群失联节点在进行通信时信号质量不稳定,需要对离群失联节点进行准确定位,以提高无线网络通信质量.离群失联节点的信号特征与正常节点的信号特征相比有很大差异,传统的定位方法,在进行定位时需要将离群失联节点的信息都传送到参考节点才能得到定位信息,对于参考节点的依赖程度较大,导致定位的准确度和速度都较低.提出一种概率离群失联节点定位方法.对节点之间的距离进行测量,测量结果符合高斯函数,能够利用概率密度函数来描述,通过求解概率密度最大值,能够实现离群失联节点定位,避免了传统定位方法的弊端.实验证明,利用改进的离群失联节点定位方法,能够快速准确的对离群失联节点进行定位,定位准确率较高.     

(R)-α-硫辛酸合成方法的研究进展

(R)-α- 硫辛酸是生物体中广泛存在的一种具有很多生理活性的重要化合物, 综述了目前 (R) -α- 硫辛酸合成方法的研究进展。     

Single-channel EEG measurement of engagement in virtual rehabilitation: a validation study

Virtual Reality - Stroke rehabilitation suffers from low levels of patient engagement, impeding recovery. Virtual rehabilitation (VR) approaches can improve patient outcomes; however, there is...     

基于卷积神经网络的银行卡数字识别研究

为了快速准确的获取银行卡号信息,文章介绍了一种改进的LeNet-5神经网络结构.首先需要对原始数据预处理,通过数学形态学进行粗定位,最后通过卡行号的位置和特征进行精确定位.在卡号分割阶段,通过转换颜色空间对背景信息进行了去除,再使用了投影分析法对银行卡号分布形态做出了判断,最后使用K均值聚类算法对卡号行图像进行分割.在卡号识别阶段,先对数据进行数据增强,再用其对模型进行训练,将分割后的单独字符图像输入改进后的卷积神经网络LeNet-5对卡号进行识别,识别率达到了99.6％.