Most classic network entity sorting algorithms are implemented in a homogeneous network, and they are not appli- cable to a heterogeneous network. Registered patent history data denotes the innovations and the achieve...Most classic network entity sorting algorithms are implemented in a homogeneous network, and they are not appli- cable to a heterogeneous network. Registered patent history data denotes the innovations and the achievements in different research fields. In this paper, we present an iteration algorithm called inventor-ranking, to sort the influences of patent inventors in heterogeneous networks constructed based on their patent data. This approach is a flexible rule-based method, making full use of the features of network topology. We sort the inventors and patents by a set of rules, and the algorithm iterates continuously until it meets a certain convergence condition. We also give a detailed analysis of influential inventor＇s interesting topics using a latent Dirichlet allocation （LDA） model. Compared with the traditional methods such as PageRank, our approach takes full advantage of the information in the heterogeneous network, including the relationship between inventors and the relationship between the inventor and the patent. Experimental results show that our method can effectively identify the inventors with high influence in patent data, and that it converges faster than PageRank.展开更多
Recently the importance of intellectual property has been increased. There has been various ways of research on analy- sis of companies, forecast of technology and so on through patents and many investments of money a...Recently the importance of intellectual property has been increased. There has been various ways of research on analy- sis of companies, forecast of technology and so on through patents and many investments of money and time. Unlike traditional method of patent analysis such as company analysis, forecasting technologies, this research is to suggest the ways to forecast registration and rejection of patents which help minimize the efforts to register patents. To do so, in- formation such as inventors, applicants, application date, and IPC codes were extracted to be used as input variables for analyzing Bayesian network. Especially, among various forms of Bayesian network, we used Tree Augmented NBN (TAN) to forecast registration and rejection of patent. This is because, TAN was assumed to have dependence between variables. As a result of this Bayesian network, it was shown that there are nearly more than 80% of accuracy to fore- cast registration and rejection of patents. Therefore, we expect the minimization of time and cost of registration by forecasting registration and rejection of R&D patent through this research.展开更多
Based on patent cooperation data,this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge flows.The results r...Based on patent cooperation data,this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge flows.The results revealed the spatial structure,composition structure,hierarchical structure,group structure,and control structure of Chinese city network,as well as its dynamic factors.The major findings are:1) the spatial pattern presents a diamond structure,in which Wuhan is the central city;2) although the invention patent knowledge network is the main part of the broader inter-city innovative cooperation network,it is weaker than the utility model patent;3) as the senior level cities,Beijing,Shanghai and the cities in the Zhujiang(Pearl) River Delta Region show a strong capability of both spreading and controlling technological knowledge;4) whilst a national technology alliance has preliminarily formed,regional alliances have not been adequately established;5) even though the cooperation level amongst weak connection cities is not high,such cities still play an important role in the network as a result of their location within ′structural holes′ in the network;and 6) the major driving forces facilitating inter-city technological cooperation are geographical proximity,hierarchical proximity and technological proximity.展开更多
本文创新性地提出护展两阶段Network BCC Global Malmquist指数,对广东省2011-2017年区域专利效率的动态演化及增长来源进行分析;采用Dagum基尼系数和探索性空间统计分析等方法对区域专利效率的空间特征进冇研究.实证研究表明:(1)2011-2...本文创新性地提出护展两阶段Network BCC Global Malmquist指数,对广东省2011-2017年区域专利效率的动态演化及增长来源进行分析;采用Dagum基尼系数和探索性空间统计分析等方法对区域专利效率的空间特征进冇研究.实证研究表明:(1)2011-2017年广东区域专利全要素生产率提高了29.21%,全要素生产率的提高来源于专利研发生产率的提高,专利经济转化生产率出现下降.(2)推动技术进步是提高广东区域专利全要素生产率的关键,专利经济转化阶段的技术退步是广东省创新发展中存在的主要问题.(3)广东区域专利效率的空间不平衡呈下降趋势,区域间专利效率的交叉重叠现象和区域内不平衡是导致空间不平衡的主要原因.(4)区域专利效率具有空间正相关性,珠三角地区已形成广州-深圳-东莞-惠州-中山-珠海6市构成的科技创新走廊,清远-肇庆-韶关3市为广东省区域专利效率冷区.展开更多
目的:基于专利引文网络探索类器官领域的技术发展主路径。方法:本研究通过构建类器官领域的专利引文网络,采用搜索路径连接数算法(search path link count,SPLC)计算遍历权重,对类器官领域开展主路径分析,探索该领域的技术发展轨迹。结...目的:基于专利引文网络探索类器官领域的技术发展主路径。方法:本研究通过构建类器官领域的专利引文网络,采用搜索路径连接数算法(search path link count,SPLC)计算遍历权重,对类器官领域开展主路径分析,探索该领域的技术发展轨迹。结果:类器官领域共有专利申请2 250项,包含专利引文12 722件;专利申请数量逐年增长,技术开发聚焦于疾病模型、药物筛选、细胞培养及器官芯片等方向。主路径分析显示,全局主路径上专利数量最多,有12件,包含1条技术路线,全局关键路径主路径与全局主路径一致;局部前向主路径上有10件专利,包含1条技术路线;这2条技术路线反映出中国类器官领域的技术发展轨迹,中国技术创新聚焦于基于肿瘤类器官技术的疾病机制研究、基于肺癌类器官模型的疾病机制研究、肺癌类器官模型的开发与优化。局部后向主路径上有9件专利,包含2条技术路线,局部关键路径主路径与局部后向主路径一致;这2条技术路线反映出美国类器官领域的技术发展轨迹,技术创新聚焦于胃肠道类器官培养与疾病模型研究、干细胞驱动的器官功能修复技术、细胞移植与器官再生。结论:本研究通过类器官领域的专利主路径分析,识别技术发展轨迹,从情报学角度为类器官研发提供信息支撑。展开更多
目的:系统评价活血化瘀类中成药治疗冠心病PCI术后心绞痛的临床疗效及安全性。方法:计算机检索Pubmed、The Cochrane Library、Embase、Web of Science、中国知网、维普、万方、中国生物医学数据库,搜集中成药联合常规西药治疗冠心病PC...目的:系统评价活血化瘀类中成药治疗冠心病PCI术后心绞痛的临床疗效及安全性。方法:计算机检索Pubmed、The Cochrane Library、Embase、Web of Science、中国知网、维普、万方、中国生物医学数据库,搜集中成药联合常规西药治疗冠心病PCI术后心绞痛的随机对照试验(RCT),检索时限设定为建库至2023年6月25日,制定纳入排除标准后,由2名研究者独立筛选文献、提取资料、评价纳入研究的偏倚风险后,采用Stata 15.1软件进行网状Meta分析。结果:共纳入35个RCTs,包括3448例患者、9种中成药(丹蒌片、地奥心血康软胶囊、复方丹参滴丸、冠心丹参滴丸、冠心舒通胶囊、麝香保心丸、通心络胶囊、养心氏片、银丹心脑通软胶囊)。网状Meta分析疗效排序结果显示:(1)在提高总有效率方面,SUCRA排序为:常规治疗联合通心络胶囊(SUCRA=96.8%)>联合丹蒌片(SUCRA=68.8%)>联合复方丹参滴丸(SUCRA=65.4%)>联合麝香保心丸(SUCRA=65.2%)>联合冠心丹参滴丸(SUCRA=50.0%)>联合地奥心血康软胶囊(SUCRA=40.0%)>联合冠心舒通胶囊(SUCRA=34.6%)>联合养心氏片(SUCRA=28.6%)。(2)在减少心绞痛每周发作频率方面,SUCRA排序为:常规治疗联合冠心舒通胶囊(SUCRA=77.7%)>联合麝香保心丸(SUCRA=69.3%)>联合银丹心脑通软胶囊(SUCRA=64.1%)>联合地奥心血康软胶囊(SUCRA=60.9%)>联合通心络胶囊(SUCRA=56.5%)>联合复方丹参滴丸(SUCRA=32.9%)>联合养心氏片(SUCRA=30.9%)。(3)在减少心绞痛每分钟持续时间方面,SUCRA排序为:常规治疗联合银丹心脑通软胶囊(SUCRA=88.0%)>联合麝香保心丸(SUCRA=78.9%)>联合冠心舒通胶囊(SUCRA=61.9%)>联合地奥心血康软胶囊(SUCRA=52.7%)>联合通心络胶囊(SUCRA=43.6%)>联合复方丹参滴丸(SUCRA=40.5%)>联合养心氏片(SUCRA=23.3%)。(4)降低hs-CRP方面,SUCRA排序为:常规治疗联合麝香保心丸(SUCRA=98.5%)>联合地奥心血康软胶囊(SUCRA=84.8%)>联合丹蒌片(SUCRA=66.0%)>联合复方丹参滴丸(SUCRA=50.0%)>联合通心络胶囊(SUCRA=27.9%)>联合冠心舒通胶囊(SUCRA=20.2%)。(5)降低ET-1方面,SUCRA排序为:常规治疗联合通心络胶囊(SUCRA=80.8%)>联合冠心丹参滴丸(SUCRA=75.8%)>联合地奥心血康软胶囊(SUCRA=50.6%)>联合复方丹参滴丸(SUCRA=48.0%)>联合冠心舒通胶囊(SUCRA=39.8%)。(6)在升高NO方面,SUCRA排序为:常规治疗联合冠心丹参滴丸(SUCRA=86.7%)>联合复方丹参滴丸(SUCRA=65.1%)>联合通心络胶囊(SUCRA=53.4%)>联合冠心舒通胶囊(SUCRA=49.6%)>联合地奥心血康软胶囊(SUCRA=37.8%)。结论:当前证据显示,在常规西药治疗的基础上联合活血化瘀类中成药可改善冠心病PCI术后的心绞痛症状,减轻血管内皮细胞受损,不良反应较少,且在不同的结局指标中各有优势和侧重。因纳入研究的数量和质量欠佳,上述研究结论待更多高质量研究予以验证。展开更多
基金Project supported by the National Science and Technology Support Plan （No. 2013BAH21B02-01）, Beijing Natural Science Foundation （No. 4153058）, and Shanghai Key Laboratory of Intelligent Information Processing （No. IIPL-2014-004）
文摘Most classic network entity sorting algorithms are implemented in a homogeneous network, and they are not appli- cable to a heterogeneous network. Registered patent history data denotes the innovations and the achievements in different research fields. In this paper, we present an iteration algorithm called inventor-ranking, to sort the influences of patent inventors in heterogeneous networks constructed based on their patent data. This approach is a flexible rule-based method, making full use of the features of network topology. We sort the inventors and patents by a set of rules, and the algorithm iterates continuously until it meets a certain convergence condition. We also give a detailed analysis of influential inventor＇s interesting topics using a latent Dirichlet allocation （LDA） model. Compared with the traditional methods such as PageRank, our approach takes full advantage of the information in the heterogeneous network, including the relationship between inventors and the relationship between the inventor and the patent. Experimental results show that our method can effectively identify the inventors with high influence in patent data, and that it converges faster than PageRank.
文摘Recently the importance of intellectual property has been increased. There has been various ways of research on analy- sis of companies, forecast of technology and so on through patents and many investments of money and time. Unlike traditional method of patent analysis such as company analysis, forecasting technologies, this research is to suggest the ways to forecast registration and rejection of patents which help minimize the efforts to register patents. To do so, in- formation such as inventors, applicants, application date, and IPC codes were extracted to be used as input variables for analyzing Bayesian network. Especially, among various forms of Bayesian network, we used Tree Augmented NBN (TAN) to forecast registration and rejection of patent. This is because, TAN was assumed to have dependence between variables. As a result of this Bayesian network, it was shown that there are nearly more than 80% of accuracy to fore- cast registration and rejection of patents. Therefore, we expect the minimization of time and cost of registration by forecasting registration and rejection of R&D patent through this research.
基金Under the auspices of Major Project of National Social Science Foundation of China(No.13&ZD027)National Natural Science Foundation of China(No.41201128,71433008)
文摘Based on patent cooperation data,this study used a range of city network analysis approaches in order to explore the structure of the Chinese city network which is driven by technological knowledge flows.The results revealed the spatial structure,composition structure,hierarchical structure,group structure,and control structure of Chinese city network,as well as its dynamic factors.The major findings are:1) the spatial pattern presents a diamond structure,in which Wuhan is the central city;2) although the invention patent knowledge network is the main part of the broader inter-city innovative cooperation network,it is weaker than the utility model patent;3) as the senior level cities,Beijing,Shanghai and the cities in the Zhujiang(Pearl) River Delta Region show a strong capability of both spreading and controlling technological knowledge;4) whilst a national technology alliance has preliminarily formed,regional alliances have not been adequately established;5) even though the cooperation level amongst weak connection cities is not high,such cities still play an important role in the network as a result of their location within ′structural holes′ in the network;and 6) the major driving forces facilitating inter-city technological cooperation are geographical proximity,hierarchical proximity and technological proximity.
文摘本文创新性地提出护展两阶段Network BCC Global Malmquist指数,对广东省2011-2017年区域专利效率的动态演化及增长来源进行分析;采用Dagum基尼系数和探索性空间统计分析等方法对区域专利效率的空间特征进冇研究.实证研究表明:(1)2011-2017年广东区域专利全要素生产率提高了29.21%,全要素生产率的提高来源于专利研发生产率的提高,专利经济转化生产率出现下降.(2)推动技术进步是提高广东区域专利全要素生产率的关键,专利经济转化阶段的技术退步是广东省创新发展中存在的主要问题.(3)广东区域专利效率的空间不平衡呈下降趋势,区域间专利效率的交叉重叠现象和区域内不平衡是导致空间不平衡的主要原因.(4)区域专利效率具有空间正相关性,珠三角地区已形成广州-深圳-东莞-惠州-中山-珠海6市构成的科技创新走廊,清远-肇庆-韶关3市为广东省区域专利效率冷区.
