打造新时代创新策源地——以湖北科技特派员制度为例

湖北省多年来深入推行科技特派员制度,在全国科技特派员制度推行和科技服务的伟大实践中拼搏奋进,从启动科技特派员地市试点工作,到全面开展科技特派员基层创业行动,从出台深入推行科技特派员制度实施意见,到开展湖北省科技特派员"百县千镇万人"工程实施,围绕产业链布局人才链的科技生态日臻完善.科技特派员个人、团队和法人单位点面结合,工作室与工作站交相辉映,他们立足湖北服务华中片区和秦巴山区,辐射服务全国各地,湖北科技特派员的服务足迹遍布荆楚星辰大地,谱写着新时代湖北科技特派员服务体系的新篇章.     

高低温环境航天机构力矩特性测试平台研制

为了测试在太空环境下航天机构中弹性机构的性能指标,研制了高低温环境下测量角度-力矩特性的测试平台.分析测试平台测试原理后,设计了平台的机械结构、设计电气系统结构并搭建软件系统.机械结构考虑对被测对象的保护,针对高低温测试带有高低温箱,可以为被测对象提供-100℃～100℃的温度环境,具有热变形偏差测量与补偿设计,减少温度变化对测量精度的影响.软件系统具备收集、处理、存储数据和图形化显示能力.分析平台不确定度的组成,对传感器进行测试校准并对航天弹性机构进行测试,测试结果验证了:该测试平台的力矩检测范围为0～50 N·m,力矩检测精度≤0.5％FS,角度测量扩展不确定度为U=35.6″,得到了被测对象的角度-力矩特性曲线图.     

2017—2019 年北京地区实验动物质量抽检结果分析

摘要:目的 比对分析 2017—2019 年北京地区实验动物微生物及遗传质量监测结果,为实验动物产业发展提供参考。 方法 按照国家和地方现行实验动物检测标准,对北京地区实验动物生产单位进行抽检,并发布检测报告。按照报告数据,对此阶段小鼠、大鼠、豚鼠、地鼠、兔、犬、猴和小型猪共 8 个品种的实验动物按照品种、等级、单位等进行分类,分析质量问题,并与 2014—2016 年同期实验动物质量比对,分析变化趋势。 结果 2017—2019 年分别抽检动物 144、131 和 135 批次,检出不合格批次分别为 30、15 和 17 批。 不合格主要因素为兔、犬及猪免疫不达标(20 批) ,病原感染 20 批,未发现遗传变异。 与 2014—2016 年同期相比,未检出遗传问题相同,免疫不达标状况好转,但病原感染出现上升。 结论 通过质量分析比对,能够为实验动物产业健康发展提供数据支持。     

时标轴上二阶Dirichlet边值问题的弱解（英文）

采用变分方法和临界点理论研究一个时标轴上二阶Dirichlet边值问题弱解的存在性.     

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。     

关于二面体群的共轭类长素图

讨论二面体群的结构问题,利用GAP软件给出二面体群D2n的共轭类长素图,并完整给出当n以及n/2分别是奇数和偶数时的共轭类长素图情况.     

浙西南环敕木山带畲族妇女“雄冠式”头冠解析

浙西南的环敕木山一带，是畲族迁徙到浙江省境内最早的聚居地，这里的畲族妇女传统“雄冠式”头冠，极具民族特色，整体造型呈三角形，用木、布、银等装饰材料，表现出凤凰吟啭的形态，造型精美，色彩斑斓，蕴含着对祖先图腾的崇敬。通过具体描述其头冠的制作、佩戴方法以及佩戴习俗，力求完整地再现浙西南的环敕木山一带畲族妇女“雄冠式”头冠所承载的畲族文化。     

A Layer-Stripping Method for 3D Near-Surface Velocity Model Building Using Seismic First-Arrival Times

In order to improve the efficiency of 3D near-surface velocity model building, we develop a layer-stripping method using seismic first-arrival times. The velocity model within a Common Mid-Point (CMP) ...     

An Economic Model-Based Matching Approach Between Buyers and Sellers Through a Broker in an Open E-Marketplace

A broker in an open e-marketplace enables buyers and sellers to do business with each other. Although a broker plays an important role in e-marketplaces, theory and guidelines for matching between buyers and sellers in multi-attribute exchanges are limited. Therefore, a challenge for a broker’s responsibility is how to maximize a buyer’s total satisfaction degree as its goals under the consideration of trade-off between a buyer’s buying quantity and price paid to a seller, and other attributes. To solve this challenge, this paper proposes an economic model-based matching approach between a buyer’s requirements and a seller’s offers. The major contributions of this paper are that (i) a broker can model a seller’s price policy as per a buyer’s buying quantity through communication between a broker and a seller; (ii) due to each buyer’s different quantity demand, a broker models a buyer’s satisfaction degree as per a buyer’s buying quantity based on communication between a broker and a buyer; and (iii) to carry out a broker’s matching processes, an objective function and a set of constraints are generated to help a broker to maximize a buyer’s total satisfaction degree. Experimental results demonstrate the good performance of the proposed approach.     

Hierarchical Community Detection Based on Partial Matrix Convergence Using Random Walks

Random walks are a standard tool for modeling the spreading process in social and biological systems.But in the face of large-scale networks,to achieve convergence,iterative calculation of the transition matrix in random walk methods consumes a lot of time.In this paper,we propose a three-stage hierarchical community detection algorithm based on Partial Matrix Approximation Convergence(PMAC) using random walks.First,this algorithm identifies the initial core nodes in a network by classical measurement and then utilizes the error function of the partial transition matrix convergence of the core nodes to determine the number of random walks steps.As such,the PMAC of the core nodes replaces the final convergence of all the nodes in the whole matrix.Finally,based on the approximation convergence transition matrix,we cluster the communities around core nodes and use a closeness index to merge two communities.By recursively repeating the process,a dendrogram of the communities is eventually constructed.We validated the performance of the PMAC by comparing its results with those of two representative methods for three real-world networks with different scales.