Synthesis and polymerization of p-bromomethylstyrene and p-lodomethylstyrene

Summary Synthesis of p-bromomethylstyrene (3) and p-iodome-thylstyrene (4) is reported. 3 was obtained by the bromomethylation of 2-phenylethyl bromide followed by dehydrobromination of the resultant p-(2-bromoethyl) benzyl bromide (2) with t-BuOK, as well as by cleaving p-vinyl-benzyl methanosulfonate with LiBr in the presence of 18--crown-6. 4 was obtained from p-chloromethylstyrene (1) via the Finkelstein reaction. 3 was polymerized successfully in the presence of free-radical initiators, but 4 was found to be too unstable to give a well-defined polymer.     

Description of adsorption of polar substances on microporous adsorbents using the modified Polanyi-Dubinin potential theory

Mechanism of adsorption of lower aliphatic alcohols and amines on active carbon surfaces has been studied. Interpretation of the results required application of the modified Polanyi-Dubinin potential theory. A basic difference in adsorption of alcohols and amines has been found. Thus, the degree of alcohols association is lower in the adsorbed phase than in the liquid phase, whereas the reverse is observed for amines.     

Determination of Young''''s modulus by nanoindentation

Loadanddepthsensingindentationtechniqueisveryusefulinprobingthemechanicalpropertiesofmaterialsonsmallscales[1—5].Youngsmodulusisoneofthemostcommonlyconcernedmaterialpropertiesmeasuredbythiskindoftechnique.Conventionally,itisachievedonthebasisofthemethodproposedbyOliverandPharr[4]usingthewell-knownrelationship:whereSuistheinitialslopeofunloadingcurve,EristhereducedmodulusandrelatedwiththeYoungsmodulusEandPoissonsratioνoftheindentedmaterialandthose(Ei,ni)oftheindenterbytheequation1/Er=(1-n2…     

AdROSA—Adaptive personalization of web advertising

One of the greatest and most recent challenges for online advertising is the use of adaptive personalization at the same time that the Internet continues to grow as a global market. Most existing solutions to online advertising placement are based on demographic targeting or on information gained directly from the user. The AdROSA system for automatic web banner personalization, which integrates web usage and content mining techniques to reduce user input and to respect users’ privacy, is presented in the paper. Furthermore, certain advertising policies, important factors for both publishers and advertisers, are taken into consideration. The integration of all the relevant information is accomplished in one vector space to enable online and fully personalized advertising.     

叶酸-青霉素G酰化酶对SKOV3实体肿瘤靶向性的实验研究

采用Iodogen法对叶酸-青霉素G酰化酶(Folate-conjugated Penicillin G Amidase,F-PGA)和PGA进行125I标记。将纯化后的标记物由尾静脉注入荷SKOV3实体瘤裸鼠体内,观察F-PGA对叶酸受体阳性的SKOV3的靶向性。结果显示:标记产品纯化后放化纯度>95%,且体内外稳定性较好;荷SKOV3肿瘤的裸鼠注射125I-F-PGA后4~24 h肿瘤显像较清晰,而注射125I-PGA组所有时相均未见明显的肿瘤部位放射性浓聚影;125I-F-PGA组的肿瘤与健侧肌肉的摄取比值(T/M)明显高于对照组(F=13.38,P=0.014 6),且在非靶组织中清除较快。表明F-PGA在荷瘤鼠体内能特异性地与叶酸受体阳性的SKOV3实体肿瘤进行靶向结合,其T/NT>1,有望用于靶向治疗。     

Regularization of the inverse heat conduction problem by the discrete Fourier transform

Two methods of solving the inverse heat conduction problem with employment of the discrete Fournier transform are presented in this article. The first one operates similarly to the SVD algorithm and consists in reducing the number of components of the discrete Fournier transform which are taken into account to determine the solution to the inverse problem. The second method is related to the regularization of the solution to the inverse problem in the discrete Fournier transform domain. Those methods were illustrated by numerical examples. In the first example, an influence of the boundary conditions disturbance by a random error on the solution to the inverse problem (its stability) was examined. In the second example, the temperature distribution on the inner boundary of the multiply connected domain was determined. Results of calculations made in both ways brought very good outcomes and confirm the usefulness of applying the discrete Fournier transform to solving inverse problems.     

极限学习机在3种虾体氨基酸水解液检测中的应用

蛋白质类食品中的氨基酸特别是必需氨基酸的含量是衡量蛋白质类食品营养价值高低的重要评价指标,而现在的一些检测方法存在费用高、检测方法费时繁琐以及不适合作氨基酸含量的快速分析等问题:为快速、准确地完成混合虾体肌肉水解液中氨基酸浓度的定量分析,本文试验分别采用极限学习机(EML)、BP神经网络和RBF神经网络对南美白对虾、水培虾、竹节虾的36份水解液稀释液的紫外光谱数据进行测试,以完成水解液中苯丙氨酸、酪氨酸和组氨酸的定量检测,并在三者的预测比较中考查了极限学习机的优越性:实验结果为ELM网络的均方误差为3.9667e-007,BP网络的均方误差为7.0938,RBF网络的均方误差为5.2379e-004,极限学习机更准确地完成了混合虾体肌肉水解液中氨基酸浓度的定量分析;10次随机预测运行结果的决定性系数R~2分别为:EML 9.42069、BP 8.76012、RBF 8.80471,极限学习机调节参数少,学习速度更快,预测准确率更高。实验为相关食品中氨基酸含量检测提供了有价值的参考。