宋官箴书所见胥吏形象成因探析

宋代官箴书中的胥吏形象十分不堪,大体有以下几个方面:收受贿赂、强索民财、左右县务、侵侮长官、践踏犯人。胥吏为维持生计而贪赃枉法;官员、胥吏关系的不对等导致官员对胥吏既利用又中伤;官员对胥吏根深蒂固的防范心态是导致以上胥吏的反面形象的主要原因。     

Preparation and electrochemical performance of double perovskite La_2CoMnO_6 nanofibers

Through electrospinning,La_2Co Mn O_6 nanofibers were prepared from a polyvinylpyrrolidone/lanthanum nitrate–cobalt acetate–manganese acetate(PVP/LCM)precursor and were used as electrode materials.The morphologies and structures of the samples were characterized by field-emission scanning electron microscopy(FE-SEM),transmission electron microscopy(TEM),X-ray diffraction(XRD),and Brunauer-Emmett-Teller(BET)specific surface area analysis.The results show that the prepared La_2Co Mn O_6 nanofibers are stable,one-dimensional structures formed from interconnected La_2Co Mn O_(6 )nanoparticles with a diamond-like crystal structure.The specific surface area of the fibers is 79.407 m~2·g~(-1).Electrochemical performance tests with a three-electrode system reveal the specific capacitance of the La_2Co Mn O_6 nanofibers as 109.7 F·g~(-1) at a current density of 0.5 A·g~(-1).After 1000 charge-discharge cycles at a current density of 1 A·g~(-1),the specific capacitance maintains 90.9%of its initial value,demonstrating a promising performance of the constraint capacitance and good cyclic stability.     

Location-and Relation-Based Clustering on Privacy-Preserving Social Networks

Graph clustering has a long-standing problem in that it is difficult to identify all the groups of vertices that are cohesively connected along their internal edges but only sparsely connected along their external edges. Apart from structural information in social networks, the quality of the location-information clustering has been improved by identifying clusters in the graph that are closely connected and spatially compact. However, in real-world scenarios,the location information of some users may be unavailable for privacy reasons, which renders existing solutions ineffective. In this paper, we investigate the clustering problem of privacy-preserving social networks, and propose an algorithm that uses a prediction-and-clustering approach. First, the location of each invisible user is predicted with a probability distribution. Then, each user is iteratively assigned to different clusters. The experimental results verify the effectiveness and efficiency of our method, and our proposed algorithm exhibits high scalability on large social networks.     

高校图书馆人力资源建设问题研究

在图书馆的五要素中,人力资源是图书馆的重要组成要素,没有高素质的人力资源队伍,高效图书馆的建设也就成了一句空话,文章论述了人力资源的含义,对人力资源建设的重要性进行了分析,对图书馆人力资源建设方面提出了一些建议和方案。     

论《熊出没》中的动画角色设计

动画片《熊出没》不仅获得了极高的收视率，还获得了“金猴奖”中动画系列片金奖和动画形象金奖两个重量级奖项。该动画片成功的关键在于动画角色的塑造，通过三个主要角色：聪明的熊大、好吃懒做的熊二及顶着大光头的伐木工人，角色设定相对单调，但仍然受到大众的喜爱，原因就在于“创意”独特，符合受众的感知能力，满足了受众群体的视觉需求。在形象塑造上通过故事情节现代化的演绎、夸张动作安排、独特的地方口音和流行化语言风格等富有人性化的艺术表现形式，刻画了三个角色的性格，符合读者的审美期待，实现了虚拟动画和真实受众之间的沟通。     

高性能膜分离材料、膜过程强化关键技术及装备的研制与应用

针对影响和制约膜分离技术大规模推广应用的关键材料与技术瓶颈,中国科学院过程工程研究所"生化工程介质与设备"创新团队经过多年自主创新,在高性能分离膜材料、膜过程强化关键技术和高效膜分离装备等方面取得了系列科研成果,部分成果在调味品、水处理、中药等行业实现了产业化应用,创造了显著的经济效益和社会效益,为提高我国膜工业研发与应用水平,缩短我国膜分离行业与国外先进水平之间的差距,促进膜分离技术的大规模工业化应用做出了贡献。     

非电行业烟气氮氧化物催化净化

氮氧化物(NO_x )严重威胁人体健康和生态环境。随着火电行业烟气NO_x 初步实现超低排放，非电行业烟气NO_x 排放控制成为重中之重。NH₃ 选择性催化还原NO_x 是最有效的NO_x 控制技术。非电行业烟气含有SO₂ 、碱性物质以及重金属等杂质，易导致催化剂中毒失活。针对NO_x 净化催化剂低温活性不足、SO₂ 中毒、碱金属中毒以及复合中毒等关键难题，文章综述了各类低温抗中毒NOx 净化催化剂的研究进展，总结了提高催化剂的低温活性、抗SO₂ 中毒、抗碱金属中毒以及抗复合中毒的策略。文章为开发低温抗中毒NOx 净化催化剂提供了研究思路，为推进NO_x 净化催化剂在非电行业烟气NOx 净化中的实际应用提供理论指导。     

A Novel Routing Method for Social Delay-Tolerant Networks

The lack of continuous connectivity and a complete path from source to destination makes node communication quite difficult in Delay-Tolerant Networks(DTNs). Most studies focus on routing problems in idealized network environments without considering social properties. Communication devices are carried by individuals in many DTNs; therefore, DTNs are unique social networks to some extent. To design efficient routing protocols for DTNs, it is important to analyze their social properties. In this paper, a more accurate and comprehensive metric for detecting the quality of the relationships between nodes is proposed, by considering the contact time, contact frequency, and contact regularity. An overlapping hierarchical community detection method is designed based on this new metric, and a tree structure is built. Furthermore, we exploit the overlapping community structure and the tree structure to provide message-forwarding paths from the source node to the destination node.The simulation results show that our Routing method based on Overlapping hierarchical Community Detection(ROCD) achieves better delivery rate than SimBet and Bubble Rap, the classic routing protocols, without affecting the average delay.     

基于空地协同采样的植被覆盖度随机森林估算方法

基于无人机高光谱影像, 建立地形复杂地区植被覆盖度的非参数随机森林回归估算模型。为获得构建随机森林模型所需的足够数量的训练样本, 利用低空无人机搭载的光学相机, 在从地面难以到达的山地、水域和植被茂密区, 通过垂直拍摄获得厘米分辨率的航拍影像, 作为对地面样方采样的补充。首先计算地面数码相机照片和无人机可见光影像的红绿蓝植被指数(red-green-blue vegetation index, RGBVI), 然后使用大津分割法提取样方的植被覆盖信息, 得到构建模型所需的训练样本。在此基础上, 基于2018年8月16—18日在内蒙古自治区察右中旗油娄沟矿区获取的GaiaSky-mini2无人机高光谱影像数据, 利用递归特征消除算法优选参与随机森林回归的特征变量集, 利用空地协同获取的训练样本构建植被覆盖度的随机森林回归估算模型。该模型在测试集上的确定系数R2为0.923, 均方根误差为0.087, 优于常用的像元二分模型, 可用于矿区植被动态信息的精细化监测。     

形象思维在医学英语术语命名中的应用

形象思维在医学英语术语的命名中发挥着重要的作用。借助植物、动物、自然现象、物品、古希腊罗马神话中的人物形象对医学英语术语进行命名,可以增加医学英语术语的美感、趣味性和准确性,利于理解和记忆。