STUDIES ON THE PREPARATION OF ZINC-CONTAINING ACTIVATED CARBON FIBERS AND THEIR ANTIBACTERIAL ACTIVITY

1. INTRODUCTION Microbial pollution will bring about various problems in industry and other vital fields, such as causing decomposing of materials, harming people抯 health. In order to reduce these problems, new antibacterial materials have been demanded. Recently, much attention has been paid to inorganic materials including zinc oxide [1~4]. These inorganic antibacterial materials are now substituting for organic materials to avoid releasing noxious organic molecules harmful to humans;…     

大孔吸附树脂对邻甲酚的吸附行为研究

研究了大孔吸附树脂NDA—909吸附水溶液中邻甲酚的热力学特征，并与Amberlite XAD—4树脂进行了比较．通过吸附动力学实验，初步探讨了初始温度对吸附过程的影响。结果表明，NDA—909对邻甲酚的吸附符合Freundlich经验公式，表现为放热的物理吸附过程．此外吸附速率受颗粒内扩散和其它类型扩散的共同控制。     

化学键合吸附剂的合成及吸附行为

在无定型硅胶上化学键合十八烷基三氯硅烷，键合率17%-20％，粒度5μm-10μm，以此键合的吸附剂可有效地吸附香烟烟气中的焦油、亚硝胺，吸附率分别为15%-18％和37%-43％，研究了化学键合吸附剂的粒度和加入量对吸附性能的影响。     

A Novel Preparation of 2,4-Disubstituted Quinolines Catalyzed by FeCl3 ·6H2O in Ionic Liquids

Quinolines and their derivatives occur in numerous natural products. Many quinolines display interesting physi ological activities and have found attractive applications as pharmaceuticals and agrochemicals as well as being general synthetic building blocks. [1] Many synthetic methods have been developed for quinolines, [2] but due to their great importance, the development of novel synthetic methods remains an active research area. [3]     

我国区域绿色技术创新效率的分类测度和提升模式研究——基于非期望产出的SBM-SupSBM模型

本文首先运用考虑非期望产出的SBM-SupSBM模型估计我国各省市绿色技术创新效率并进行分类:稳定上升类、平稳类、大幅度波动类以及下降类。之后从企业内部和外部两方面对绿色技术创新效率提升的影响因素提出假设,着重考虑大幅度波动类别省份的效率提升。运用面板数据模型各影响因素进行验证,结论显示:企业规模对绿色技术创新效率波动较大的省份起到显著的抑制作用,环境规制和技术进步对绿色技术创新效率波动较大的省份作用不明显。针对分析结果,提出结论:在提升绿色技术创新效率的过程中,应注重企业规模和技术进步的协同作用,以及技术的开放程度。     

高校图书馆信息化建设中的难点与应对策略

高校是我国培养高素质专业人才的重要单位,而图书馆则是全校师生实现自我提升的关键场所。为更好地满足高校全体师生的自主学习需求,应做好高校图书馆信息化建设,借助先进的信息化技术,满足全体师生在图书馆中的合理需求,进一步提高校内师生的学习效率。基于对高校图书馆重要性的考虑,文中分析了高校图书馆信息化建设中的问题及对策,以期提高高校图书馆信息化建设水平,更好地发挥出图书馆在高校办学中的作用。     

基于攻防博弈模型的网络安全测评和最优主动防御

文中对攻防博弈模型中的相关内容展开了分析,讨论了攻防博弈模型的网络安全测评要点,包括信息安全测评分析、主动防御系统分析、脆弱性测评分析、防御代价定量分析等,并对攻防博弈模型的最优主动防御要点进行了整理,旨在提高对攻防博弈模型应用价值的认知水平,提升网络安全测评与防御的效果。     

基于AR技术的光交箱资源校准技术

光交箱端口状态对通信网络的正常运行具有重要作用,由于光交箱内部布线杂乱,容易对端口产生排线遮挡问题,导致传统的光交箱端口图像识别操作不便。文中提出了一种基于AR技术的光交箱资源校准技术,该技术可以对实时视频自适应选取关键帧,然后对关键帧进行光交箱端口状态和文字识别,最后返回加权融合后的识别结果,并利用实时AR交互指引巡检人员处理被遮挡端口,这不仅能提升巡检人员的工作效率,还能提高实时识别准确率。将该校准技术应用到光交箱端口的智能检测中,能对光交箱的端口识别提供极大便利。     

Research on wind turbine blade damage based on pre-stressed FBG strain sensors

One of the essential parts of a wind power generator that captures wind energy is the wind turbine blade. The safety of the blades rapidly declines as a wind turbine''s operating period grows. For real-time monitoring, a chip-type pre-stressed fiber Bragg grating (FBG) strain sensor was fabricated. The sensor''s structure was improved using simulation analysis along with optimization. It was discovered through calibration trials that the pre-stressing method expanded the sensor''s range of measurement, guaranteed overall linearity, and prevented the potential hysteresis phenomena during compression. The sensor''s final sensitivity was calculated to be 1.970 pm/με, and its linear fitting coefficient was 0.999. Finally, the sensor was used to monitor the wind turbine blades and the strain change curve of the root of a normally functioning blade is found to be a sine curve, which provides a certain reference value for judging whether the blade is damaged in the future.