The hidden disintegration of cluster heterogeneity in Fe-based glass-forming alloy melt

The evolution of liquid metal at high temperature is known much less than their solid states. This is partially due to that the message concerning clusters, metastable phase or heterogeneity in liquid is usually too slight to be traced. Here, we shed some light on the nature of structural evolution of Fe-based glass-forming alloy during overheating process by the investigation of high-temperature melt viscometry and first principles simulations. It was found that a structural transition around 1400 ℃ occurred in the melts of initial homogeneous ingot, heterogeneous ingot and amorphous ribbons jointly, and was confirmed by the results from differential scanning calorimeter(DSC), and ab initio molecular dynamics(AIMD). Combining these results with Fe-Si-B ternary phase diagram and the melting characteristics of Fe-B compounds, it is safe to conclude that the disintegration of Fe_2B type clusters to Fe_3B-type clusters leads to the observed transition. These results offer a significant reference for the preparation and property control of Fe-based amorphous alloys.     

GIS在油田土地管理系统中的应用研究

针对目前油田土地使用的情况,综合应用土地信息系统、Webservice技术、J2EE技术以及SVG技术,将整个大庆油田的土地动态的发布到网上,使用户能够通过客户端直接掌握所有的宗地信息,完成信息浏览和查询等功能。     

网络环境下研究院所文献资料室发展之路——以贵州省烟草科学研究所为例

介绍了建立《中国烟草早期文献数据库及网上展览厅》系统平台的背景及意义,阐述了该系统平台的结构与功能,对后继利用《中国烟草早期文献数据库及网上展览厅》的系统平台为读者提供主动的、个性化的服务进行了一些思考,探讨了网络环境下研究院所文献资料室未来的发展之路。     

计算机管理下的文献分类和编目

叙述了计算机管理下的图书分类编目中的有关问题,例如图书查重、分类和编目,提出了一些行之有效的解决办法。     

对高校图书馆书目情报服务中人文精神的思考

介绍了高校图书馆书目情报服务的主要内容,并对在图书馆书目情报服务中存在的若干人文问题提出了相应的解决方法。     

建立我国农村最低生活保障制度的政策选择

在论述我国建立农村最低生活保障制度必要性的基础上,分析了我国现阶段农村最低生活保障制度建设的现状及问题,并提出了对应的政策选择。     

广西山口红树林自然保护区蝶类资源考察报告

广西山口红树林自然保护区的蝶类有7科30属46种,以粉蝶科、蛱蝶科的种类较多,分别占总种类数的26.1%和23.9%.不同季节的蝴蝶种类和数量分布不均匀,春、夏、秋、冬季的蝴蝶种类数分别为15种、36种、39种和11种,捕获的数量分别占18.6%、32.2%、40.9%和8.3%.春季常见的蝶类为美目蛱蝶(Junonia almana almana)、珐蛱蝶指名亚种(Phalanta phalantha phalantha)、橙粉蝶(Ixias pyrene)和达摩凤蝶(Popilio demoleus)等;夏季常见蝶类为酢浆小灰蝶指名亚种(Pseudozizeeria maha maha)、幻紫斑蛱蝶海南亚种(Hypolimnas bolina kezia)、波蛱蝶(Ariadne ariadne)和青粉蝶海南亚种(Pareronia valeria hainanensis)等;秋季常见蝶类为虎斑蝶指名亚种(Danaus genutia genutia)、青粉蝶海南亚种(Pareronia valeria hainanensis)、紫灰蝶(Chilades lajus)和黑脉圆粉蝶指名亚种(Cepora nerissa nerissa)等;冬季的常见种为黑脉圆粉蝶指名亚种、无标黄粉蝶云南亚种(Eurema brigitta yunnana)和达摩凤蝶(Popilio demoleus)等.仅有6种蝴蝶可在一年四季采集到.区系成分以东洋种为主,占60.9%,东洋古北兼有种占36.9%,广布种仅占2.2%.蝴蝶群落多样性指数以秋季为最高.     

Inhibitory Kinetics of p-Substituted Benzaldehydes on Polyphenol Oxidase from the Fifth Instar of Pieris Rapae L.

Polyphenol oxidase (PPO) is the enzyme responsible for enzymatic browning during the growth of insects. It is also involved in defense reactions and is related with immunities in insects. PPO, a metalloenzyme oxidase, catalyzes the oxidation of ο-diphenol to ο-quinone. The present paper de- scribes the effects of benzaldehyde and its p-substituted derivatives on the activity of PPO from the fifth instar of Pieris rapae L. PPO from the fifth instar of Pieris rapae L. was purified using ammonium sulfate fractionation and chromatography on Sephadex G-100. The enzyme kinetics was characterized using L-3,4-dihydroxyphenylalanine (L-DOPA) as substrate. The results show that benzaldehyde, p- hydroxybenzaldehyde, p-chlorobenzaldehyde, and p-cyanobenzaldehyde can inhibit the PPO activity for the oxidation of L-DOPA. The inhibitor concentration leading to 50% activity lost, IC50, was esti- mated to be 5.90, 5.62, 2.83, and 2.91 mmol/L for the four tested inhibitors, respectively. Kinetic analy- ses show that the inhibitory effects of these compounds are reversible. Benzaldehyde, p- hydroxybenzaldehyde, and p-chlorobenzaldehyde are noncompetitive inhibitors while p-cyano- benzaldehyde is a mixed-type inhibitor. The inhibition constants were determined for all four inhibitors. p-chlorobenzaldehyde and p-cyanobenzaldehyde were more potent inhibitors than the other com- pounds. These results provide a basis for developing PPO inhibition-based pesticides.     

基于深度学习与数据增强技术的小样本岩石分类

在油气勘探中,利用深度学习技术对岩石进行识别与分类能极大提高工作效率。岩石采样并制作样本图像费时费力,因此岩石样本通常较少。有鉴于此,基于深度学习技术设计一个新的神经网络模型MyNet,该模型能对小样本进行学习并完成岩石样本的分类。使用数据增强技术通过Python编程将314张岩石样本扩充成28 272张图像,为了充分利用现有数据,取其中的27 384张作为训练集,剩余888张作为测试集。将数据分别导入MyNet、ResNet50、Vgg16进行训练和测试。实验结果表明,加载、不加载预训练参数的ResNet50、Vgg16的岩石分类结果因受有无迁移学习影响会有所不同;MyNet的总体分类准确率为75.6%,均优于有无迁移学习的ResNet50、Vgg16,且MyNet、ResNet50、Vgg16所需训练的参数量分别为919 278、25 503 912、138 357 544,显然,MyNet模型的复杂度与训练代价明显低于其他对比模型,但性能最优,说明新模型应用于小样本的岩石分类可行有效且经济安全,更容易推广应用。     

Hamming距离下树型网络的最短路改进问题

研究Hamming距离下树型网络的最短路改进问题,通过把该问题转化为0-1整数线性规划问题并通过求解有限个小规模0-1整数线性规划问题并求解.该研究方法在一定程度上推广了已有的结果.该问题的研究有助于设计求解一般的Hamming距离下的最短路改进问题的有效近似算法.