固体电解质ZrO2（Y2O3）粉末的制备研究

本文比较了几种制备方法及Y_2O_3含量对ZrO_2材料性能的影响,提出了ZrO_2立方相的稳定机理。结果发现,在相同Y_2O_3含量条件下,不同制备方法制得的粉末其晶相中ZrO_2立方相体积分数有较大差异。随Y_2O_3含量的增加,粉末晶相中立方相体积分数迅速增大,其立方相晶胞参数逐渐增加,而当Y_2O_3含量增加到9mol%时,晶胞参数反过来又减小。SEM照片表明,随Y_2O_3含量的增加。ZrO_2粉末颗粒逐渐增大,Y_2O_3含量大于6mol%时,ZrO_2粉末形状变得较不均匀规整。Y_2O_3含量较低时,ZrO_2粉末才具有较好的烧結性能。     

提升普通高校学报影响力的措施和方法

分析了普通高校学报影响因子低、影响力小的原因,重点论述了提高普通高校学报被引频次、影响因子和影响力的措施和方法.     

Eph受体家族和Ephrin-A5在NSCLCs中上调表达及其临床意义

采用荧光实时定量PCR的方法在48个非小细胞肺癌组织以及配对的正常肺组织中检测Eph/ephrin 基因的mRNA水平.发现肺癌组织中EphB4, EphB3 和 ephrin-A5的表达水平与配对的正常肺组织相比分别上调了60%,81%和65%,并具有显著的统计学差异. 而且,统计学分析发现ephrin-A5的表达水平与肿瘤分型、转移、性别、吸烟以及诊断年龄等临床病理学参数之间存在显著的相关性.此外,EphA2的表达水平与肿瘤大小、家族遗传史以及诊断年龄之间也存在显著的相关性.总之,这些结果提示EphB4, EphA2, EphB3 和ephrin-A5 在肺癌的发生和发展过程中可能以一种单独或者协同的形式发挥作用.这些蛋白有可能成为研究和诊断肺癌的重要靶向基因.     

基于J2EE的高校人事管理系统中安全机制的实现与研究

应用J2EE中的BS模式的人事管理系统时,安全性是其中的关键.利用Oracle提供的OC4J组件和J2EE中的JAAS组件,可以为系统提供全面的认证和授权功能,提高系统的安全性.     

P2P网络技术的发展应用和未来

本文描述了计算机对等网络(Peer-to-Peer Networking,P2P)技术的发展起源,基本特征和现状,以及P2P技术的未来发展前景。     

The controlling factors and distribution prediction of H2S formation in marine carbonate gas reservoir, China

Generally, there are some anhydrites in carbonate reservoir, as H2S is also familiar in carbonate oil and gas reservoirs. Nowadays, natural gas with high H2S concentration is usually considered as TSR origin, so there is close relationship between H2S and anhydrite. On the contrary, some carbonate rocks with anhydrite do not contain H2S. Recently, researches show that H2S is only a necessary condition of H2S formation. The reservoir porosity, sulfate ion content within formation water, reservoir temperature, oil/gas and water interface, hydrocarbon and some elements of reservoir rock have great controlling effects on the TSR occurrence. TSR deoxidizes hydrocarbon into the acidic gas such as H2S and CO2, and the H2S formation is controlled by TSR occurrence, so the relationship among reaction room, the contact chance of sulfate ion and hydrocarbon, the reservoir temperature has great influence on the TSR reaction. H2S has relatively active chemical quality, so it is still controlled by the content of heavy metal ion. Good conditions of TSR reaction and H2S preservation are the prerequisite of H2S distribu- tion prediction. This paper builds a predictive model based on the characteristic of natural gas reservoir with high H2S-bearing. In the porosity reservoir with anhydrite, the formation water is rich in sulfate and poor in heavy metal ion. Oil and gas fill and accumulate in the gas reservoir with good preservation conditions, and they suffered high temperature later, which indicates the profitable area of natural gas with high H2S-bearing.     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

PEN固相缩聚结晶动力学的研究

研究了结晶反应过程,根据密度法测定的结果,得到PEN切片结晶Avrami指数值为2.32,反应的最佳温度为70℃,并得到结晶动力学方程。     

Resource Search in Unstructured Peer-to-Peer System Based on Multiple-Tree Overlay Structure

We propose a multiple-tree overlay structure for resource discovery in unstructured P2P systems. Peers that have similar interests or hold similar type of resources will be grouped into a tree-like cluster. We exploit the heterogeneity of peers in each cluster by connecting peers with more capacities closer to the root of the tree. The capacity of a peer can be defined in different ways （e.g. higher network bandwidth, larger disk space, more data items of a certain type etc.） according to different needs of users or applications.     

芳纶纤维强化UP的激光加工性基础研究

使用CO2和YAG激光加工芳纶纤维强化不饱和聚酯树脂板,探讨其在不同的强化方式下,改变照射时间和激光功率及焦点位移量时的微孔加工性。