Nd8.5Fe77.6B6.4Co4Zr3Cu0.5纳米复合永磁材料研究

研究了Nd8.5Fe77.6B6.4Co4Zr3Cu0.5合金晶化处理后的微观结构.研究发现,该合金15 m/s淬态薄带只存在一个较宽的晶化峰,其晶化后的晶粒尺寸均匀性较差,晶化相中存在少量Fe77.2Nd22.8相,削弱了晶粒间的交换耦合作用.三维原子探针分析表明,Cu几乎不固溶于α-Fe,和Zr元素共同富集于Fe77.2Nd22.8相区.这些相的存在,使得合金的剩余磁化强度和磁滞回线的方形度降低,进而降低了合金的综合磁性能.     

情为冷吸附 果能挂高处——记国家自然科学奖获得者王丽伟

王丽伟的吸附制冷项目获得国家自然科学二等奖。消息传来,上海民进会员格外兴奋。作为民进会员,王丽伟既有学者的认真严谨,又有女性的温柔美丽。谈起自己的专业,她如数家珍。板凳甘做十年冷2001年,王丽伟加入王如竹老师的实验室。期间,她发现了化学吸附剂的吸附滞后圈,通过试验,她提出了采用物理吸附剂与化学吸附剂相互嵌入来解决化学吸附剂性能衰减的思想。但当时她的想法与国际公认的主流思想并不相符,许多人劝她放弃:吸     

管理视域下高校党建工作效能衰减问题及对策

管理视域下高校党建工作效能问题的本质在于党组织结构设计和管理链条的认知与执行的转变与优化。从管理和实践的角度看,高校党组织功能的完善是发挥效能的前提条件。由于高校党组织的功能定位模糊,直接导致党建工作效能衰减,如"党组织培养效能、凝聚效能、传承效能、服务效能弱化"等问题。当然这个过程也需要系统的过程管理与控制的重构。     

法医DNA遗传分析仪毛细管阵列评价方法及实验比对

毛细管阵列是法医DNA遗传分析仪的关键耗材,影响着DNA检验的成败。通过空间校正评判阵列检测窗口性能;以LIZ500内标和Ladder为研究对象,确定重现性评价标准和RSD值;同时考察阵列分离效率,并检测扩增样品分型能力,旨在确定毛细管阵列品质评判的性能指标。实验证明,各项性能指标能够满足对毛细管阵列产品的评价需求,从而为其质量鉴定及在刑侦领域的实际应用提供理论依据和参考,并通过实际对比试验对国产毛细管阵列的应用推广提供了可信的数据支撑。     

Record Setter in Modern China＇s Bridge Engineering

If Greece is symbolized by the Parthenon, Italy by the Leaning Tower of Pisa and Britain by London＇s Tower Bridge, then the symbol of 1950s China was the Wuhan Yangtze Bridge in Hubei Province.     

ATR技术鉴定二组分混纺纤维

利用红外衰减全反射光谱技术,检验腈-棉、毛-腈、棉-毛等常见二组分混纺纤维,可获得腈、棉、毛纤维的独立特征峰,其吸光度与纤维的含量之间,具有良好的线性关系.因此,根据ATR谱,不但可以准确鉴别混纺纤维的组成,而且可以准确测定纤维的混纺比.     

GA293-2012《警用防弹头盔及面罩》标准解析

介绍了GA293-2012《警用防弹头盔及面罩》标准的主要修订内容,重点解读了防弹头盔及面罩防弹性能的测试评价方法,并对防弹头盔的发展进行了展望。     

A model for adoption of mobile banking services using classification and regression trees

The analysis and improvements of bank performance is a challenging issue for bank managers. Among various banking services, mobile banking is one of the most risky fields that is prone to customer resistance. Mobile banking is a form of banking transaction carried out via a mobile phone. Mobile banking allows bank customers to check their account balances and perform credit card transaction, as well as provide information on the latest transaction made by customers. This paper summarizes experiences and results of productively using knowledge discovery and data mining techniques in a large detail bank data. Data mining is the process of extracting patterns from data. We review prior literature on mobile payments, analyze the various factors that impact mobile payment services markets, and suggest directions for future research in this risk management field. Our research work demonstrates the effectiveness and efficiency of data mining in analysis of retailing bank performance. We use classification and regression tree learning algorithm for proposing a customer adoption model of mobile banking according to some personal characteristics of customers.