Effectiveness and safety of seven oral Chinese patent medicines as adjuvant therapy for cancer-related anemia: A systematic review and network meta-analysis of randomized controlled trials

Objective:To evaluate the effectiveness and safety of seven oral Chinese patent medicines(CPMs)as adjuvant therapy for cancer-related anemia(CRA)by network meta-analysis(NMA).Methods:A literature search to obtain randomized controlled trials(RCTs)of seven oral CPMs in the adjuvant treatment of CRA was conducted in multiple databases from the inception to April 2022.The RevMan5.3 and R 4.1.1 software were used for NMA.Results:We ultimately included 29 RCTs with 2140 patients.Traditional meta-analysis showed that Fufang E'jiao syrup(FFEJS),Shengxuebao mixture(SXBM),Shengxuening tablets(SXNT),Jianpi Shengxue granules(JPSXG),and Yixuesheng capsule(YXSC)combined with basic Western treatment(BWT)could improve the hemoglobin(HGB)level.JPSXG combined with BWT could improve the red blood cell(RBC).FFEJS combined with BWT improved the Karnofsky performance status(KPS).NMA showed that FFEJS,JPSXG,SXBM,and SXNT plus BWT improved HGB better than Shengxue tablets(SXT)plus BWT,with top three ranking results being JPSXG plus BWT>SXNT plus BWT>FFEJS plus BWT.FFEJS plus BWT,JPSXG plus BWT,SXBM plus BWT,SXNT plus BWT,and SXT plus BWT improved RBC better than BWT,with top three ranking results being SXNT plus BWT>JPSXG plus BWT>FFEJS plus BWT.In terms of the KPS score,compared with SXT plus BWT,FFEJS,JPSXG,SXBM,SXNT,and Yizhong Shengxue capsule(YZSXC)plus BWT had higher KPS,with top three ranking results being SXBM plus BWT>JPSXG plus BWT>FFEJS plus BWT.Conclusions:Our NMA demonstrated that seven oral CPMs used as adjuvant treatment of CRA had a definite clinical effect.JPSXG not only increases the levels of HGB and RBC to enhance the clinical effect but also improves patients'quality of life.More accurate conclusions need to be verified by more high-quality RCTs.

Research on overlapping structures and evolution properties of co-citation network

Purpose: This paper intends to explore methodologies and indicators for the analysis of overlapping structures and evolution properties in a co-citation network, and provide reference for overlapping structure analysis of other scientific networks.Design/methodology/approach: The Q-value variance is defined to achieve overlapping structures of different levels in the scientific networks. At the same time, analyses for time correlation variance and subject correlation variance are used to present the formation of overlapping structures in scientific networks. As a test, a co-citation network of highly cited papers on Molecular Biology & Genetics from Essential Science Indicator(ESI) is taken as an example for an empirical analysis.Findings: Our research showed that the Q-value variance is effective for achieving the desired overlapping structures. Meanwhile, the time correlation variance and subject correlation variance are equally useful for uncovering the evolution progress of scientific research, and the properties of overlapping structures in the research of co-citation network as well.Research limitations: In this paper, the theoretical analysis and verification of time and subject correlation variances are still at its initial stage. Further studies in this regard need to take actual evolution of research areas into consideration.Practical implications: Evolution properties of overlapping structures pave the way for overlapping and evolution analysis of disciplines or areas, this study is of practical value for the planning of scientific and technical innovation.Originality/value: This paper proposes an analytical method of time correlation variance and subject correlation variance based on the evolution properties of overlapping structures, which would provide the foundation for the evolution analysis of disciplines and interdisciplinary research.

Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China＇s Agriculture and Influ- encing Factors： Illustrated According to Agricultural Patent Case

Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985–2014, based on the triple helix theory, with the influence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.

Evolution of the Socio-cognitive Structure of Knowledge Management(1986–2015): An Author Co-citation Analysis

Purpose: The evolution of the socio-cognitive structure of the field of knowledge management(KM) during the period 1986–2015 is described. Design/methodology/approach: Records retrieved from Web of Science were submitted to author co-citation analysis(ACA) following a longitudinal perspective as of the following time slices: 1986–1996, 1997–2006, and 2007–2015. The top 10% of most cited first authors by sub-periods were mapped in bibliometric networks in order to interpret the communities formed and their relationships.Findings: KM is a homogeneous field as indicated by networks results. Nine classical authors are identified since they are highly co-cited in each sub-period, highlighting Ikujiro Nonaka as the most influential authors in the field. The most significant communities in KM are devoted to strategic management, KM foundations, organisational learning and behaviour, and organisational theories. Major trends in the evolution of the intellectual structure of KM evidence a technological influence in 1986–1996, a strategic influence in 1997–2006, and finally a sociological influence in 2007–2015.Research limitations: Describing a field from a single database can offer biases in terms of output coverage. Likewise, the conference proceedings and books were not used and the analysis was only based on first authors. However, the results obtained can be very useful to understand the evolution of KM research.Practical implications: These results might be useful for managers and academicians to understand the evolution of KM field and to(re)define research activities and organisational projects.Originality/value: The novelty of this paper lies in considering ACA as a bibliometric technique to study KM research. In addition, our investigation has a wider time coverage than earlier articles.

Feature and Tendency of Technology Transfer in Z-Park Patent Cooperation Network:From the Perspective of Global Optimal Path

Purpose:This study aims to provide a new framework for analyzing the path of technology diffusion in the innovation network at the regional level and industrial level respectively,which is conducive to the integration of innovation resources,the coordinated development of innovative subjects,and the improvement of innovation abilities.Design/methodology/approach:Based on the Z-Park patent cooperation data,we establish Inter-Enterprise Technology Transfer Network model and apply the concept of Pivotability to describe the key links of technology diffusion and quantify the importance of innovative partnerships.By measuring the topologically structural characteristics in the levels of branch park and the technosphere,this paper demonstrates how technology spreads and promotes overall innovation activities within the innovation network.Findings:The results indicate that:(1)Patent cooperation network of the Z-Park displays heterogeneity and the connections between the innovative subjects distribute extremely uneven.(2)Haidian park owns the highest pivotability in the IETTN model,yet the related inter-enterprise patent cooperation is mainly concentrated in its internal,failing to facilitate the technology diffusion across multiple branch parks.(3)Such fields as“electronics and information”and“advanced manufacturing”are prominent in the cross-technosphere cooperation,while fields such as“new energy”and“environmental protection technology”can better promote industrial integration.Research limitations:Only the part of the joint patent application is taken into account while establishing the patent cooperation network.The other factors that influence the mechanism of technology diffusion in the innovation network need to be further studied,such as financial capital,market competition,and personnel mobility,etc.Practical implications:The findings of this paper will provide useful information and suggestions for the administration and policy-making of high-tech parks.Originality/value:The value of this paper is to build a bridge between the massive amount of patent data and the nature of technology diffusion,and to develop a set of tools to analyze the nonlinear relations between innovative subjects.

A Study on Forecasting System of Patent Registration Based on Bayesian Network

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.

National patent Chinese herbal compound for parkinson's disease based on data mining and network pharmacology analysis

Objective:To analyze the dosing pattern and mechanism of herbal compound patents for the treatment of Parkinson's disease using data mining and network pharmacology methods,and to provide ideas for the clinical use of Parkinson's disease and new drug development.Methods:The Chinese herbal medicine compound prescriptions for Parkinson's disease built up to May 31,2022 by searching the official website of patent publication notice.An Excel table was built,and after term normalization of the included compound prescriptions,Excel and IBM SPSS Modeler 18.0 were used for data mining such as frequency statistics.We also applied network pharmacology methods to study HF drugs,using TCMSP and TCM database@Taiwan to obtain drug components and using TCMSP platform and Swiss ADME screening,collecting targets through UniProt and Swiss Target Prediction platform;obtaining PD disease from databases such as GeneCards The targets were obtained from GeneCards and other databases,drug-disease target intersections were obtained,and"drug-disease-target"networks were created using Cytoscape 3.8 software,and GO and KEGG enrichment analyses were performed using the Metascapep platform.Results:A total of 113 patented Chinese medicine recipes were included,involving 394 drugs,among which Tianma,Angelica and Bai Shao were the most commonly used drugs.A total of 442 drug targets,4884 disease targets and 324 drug-disease common targets were obtained.Conclusion:The study found that the medicinal properties of the patented compound Chinese medicine for Parkinson's disease are mainly warm and cold,the taste of the medicine is mainly sweet and bitter,the normalizing meridian is mainly liver,heart and spleen meridians,and the treatment method is mainly to strengthen the liver and kidney,nourish the qi and blood,and extinguish the wind and dredge the luo.The core ingredients include 4-ethoxymethylphenyl-4'-hydroxyl,palmitic acid,lignan,etc.;the main action targets are PTGS2,PTGS1,SCN5A,etc.;involved in PI3K-Akt,cAMP and other signaling pathways.The development of relevant compound can be based on clinical symptoms,appropriate tailoring,and flexible use of such drugs,in order to obtain the best therapeutic effect.

Chinese patent medicine for stable angina pectoris:protocol for a systematic review and network meta-analysis

Stable angina pectoris is a common condition that affects a wide group of patients with coronary artery diseases.A number of Chinese patent drugs based on classic herbal formulations are available for angina management.A network meta-analysis is proposed to assess the relative efficacy and safety of commonly used drugs for stable angina and generate a clinically meaningful ranking for each important outcome.We composed a list of 24 widely-used oral blood-quickening Chinese patent drugs from literature review and expert consultation.Three English and five Chinese electronic databases will be searched up to July 2021 for randomised clinical trials comparing between drugs on the list or with nitrates or placebo for stable angina.Unpublished data or grey literature will be sought through trial registries and correspondence to the report authors.Two reviewers independently screen literature,extract data and assess clinical and methodological features of included studies.The WinBUGS software will be used to perform network meta-analysis and the Stata 13.0 software to generate graphic demonstrations of the results.Primary outcomes are the incidence of cardiovascular events and changes in angina frequency,duration and intensity.We will use the surface under the cumulative ranking curve and the mean value for the numeric presentation of efficacy and safety ranking probabilities of multiple treatments.Heterogeneity and inconsistency will be assessed using appropriate statistical tests,and subgroup analysis and network meta-regression will be resorted when necessary.The quality of evidence for each outcome will be graded with the web-based GRADEpro GDT.

基于网络效应与行动者效应的专利转让及受让行为研究

专利交易是技术创新扩散的主要渠道,是实现科技成果转化的有效途径。研究专利转让与受让行为可以识别影响专利交易的主要因素,为政府制定技术交易政策提供科学依据。以2002—2019年中国集成电路产业专利转让记录作为数据源,利用Siena模型,结合网络效应和行动者效应,对专利转让与受让行为影响因素进行实证检验。研究发现:①专利技术交易以单向交易为主,随着集成电路产业从萌芽阶段步入成长阶段,产业内技术交易主体增加,网络规模扩大,网络信息传输效率有所提升,但仍处于较低水平;②网络初期产生的锁定效应明显得以缓解,技术交易网络内组织社团化特征明显,技术交易社团规模呈扩张态势且社团内紧密程度不断提高;③网络效应方面,转让者更倾向于与技术交易伙伴进行交易,频繁发生受让行为的企业会吸引更多新的交易伙伴,企业间不存在明显的互惠交易;④行动者效应方面,随着产业进入成长阶段,成熟企业更倾向于专利转让行为,初创企业更倾向于专利受让行为,占据高结构洞位置的企业更倾向于专利转让行为。企业间技术创新能力差距越小越容易发生技术交易,企业倾向于选择同一国别或同一企业集团内伙伴进行交易。

“一带一路”共建国家间的技术扩散——基于技术内容与网络结构的分析

技术扩散是强化国际经济与创新联系的有效途径,是构建高质量开放创新体系的重要方式。国际技术扩散作为两个主体间的技术扩散活动具有方向性,不同国家的创新政策和技术发展战略侧重点不同,在技术扩散能力和技术吸收能力上均有差异。因而国家间需要构建高效、稳定的技术扩散网络,充分发挥自身的技术优势、补齐技术短板,进一步加大技术流动和增强创新能力。本研究基于技术扩散理论,运用专利引证数据构建“一带一路”共建国家间技术扩散网络,分时段纵向分析共建国家技术扩散网络的演化,分技术领域横向分析共建国家间技术扩散的特征,探索中国与共建国家间技术扩散的内容和路径。研究认为:中国在共建国家技术扩散网络中的核心地位逐步确立,且在“一带一路”倡议提出后中国的核心位置更加明显、技术扩散范围更加广泛;但整体技术扩散网络密度低,除中国外的其他国家间技术扩散关系构建较少;不同技术领域的技术扩散网络形态各有不同,其中化学技术领域的技术扩散最活跃、网络复杂度最高;俄罗斯在化学、机械工程、仪器、其他技术领域具有一定技术优势,并且对中国的技术扩散强度很大,而中国在电气工程技术领域更有技术扩散优势。

专利中药处方治疗放射性肺损伤的用药规律及作用机制研究

目的:搜集国家专利中治疗放射性肺损伤的中药处方,探索其用药规律及作用机制。方法:检索国家知识产权局中国专利公布网站中治疗放射性肺损伤的中药处方,利用古今医案云平台进行统计分析、关联分析、聚类分析及网络构建分析等;通过网络药理学方法探讨治疗放射性肺损伤核心处方的作用靶点及相关通路。结果:纳入从专利数据库建立至2022年8月治疗放射性肺损伤的中药处方专利17项,共包含153味中药,药物出现频次较高的有甘草、生地黄;常用的药对为玄参-生地黄、苦杏仁-甘草、鱼腥草-甘草、生地黄-玄参;核心处方组成包括甘草、生地黄、苦杏仁、玄参和鱼腥草;核心处方治疗放射性肺损伤的主要靶点可能为JUN、IL-6、PTGS2、FOS、IL-8、IL-10等,相关的作用通路有脂质与动脉粥样硬化、化学致癌-受体激活、化学致癌-活性氧物种、PI3K-Akt信号通路、MAPK信号通路等。结论:专利中药处方主要可能通过抑制炎症反应从而发挥减轻放射性引起的肺损伤作用。

基于图神经网络的专利文本分类研究

传统专利分类由专家逐件审阅,随着大数据、人工智能和自然语言处理技术的快速发展,专利文本自动分类正在成为学界、业界的重要研究方向之一。文本分类技术可以用于判断专利申请是否获得授权,帮助审查员自动化处理和分析专利申请文件,从而提高工作效率。针对海量专利的英文文本,提出一种基于图神经网络模型的专利文本自动分类方法,用于测度专利申请是否可获得授权。使用深度学习算法TextGCN对专利摘要语料进行学习和训练,利用图结构数据的邻居信息和节点特征,通过神经网络产生专利文本的表示向量,进而实现专利授权与否的预测。实验结果表明,本文采用的深度学习算法能够得到较好的分类效果,并且与Doc2vec和TFIDF表示方法相比,该模型在精确度、召回率、准确率及F1方面均有所提高,可为专利授权与否的自动预测提供可靠的研究依据。

专利非实施主体的价值评判与法律规制——以网络化开放创新范式为视角

在传统视角下,专利非实施主体(NPE)主要产生于知识产权制度的漏洞,它们通过滥诉和滥用禁令救济等方式攫取了不合理的高额利润,会产生阻碍创新、损害消费者利益、破坏市场秩序等消极效果。但实际上,NPE的产生与网络化开放创新密切相关。NPE是知识产权二级市场发展和专业化分工的产物,它在许可谈判中的优势地位很大程度上来自于专利许可模式由事前许可向事后许可的转变。同时,NPE也反过来促进了网络化开放创新。它可以促进技术流动,降低企业获取技术的搜寻成本,提高小企业和个体发明人的创新激励。因此,NPE并没有“原罪”,而是一个中性的市场主体。对NPE的规制思路,应当从基于主体身份的规制路径转变为基于滥用行为及其权利源头的规制路径。

口服中成药联合常规西药治疗稳定型心绞痛的网状Meta分析

目的:运用网状Meta分析方法系统评价中成药联合常规西药治疗稳定型心绞痛的有效性及安全性。方法:计算机检索PubMed、The Cochrane Library、Embase、Web of Science、万方、维普、知网和中国生物医学文献数据库,搜集中成药联合常规西药治疗稳定型心绞痛的随机对照试验,检索时限均为建库至2022年2月10日。采用RevMan5.3、STATA15.1软件进行数据统计分析。结果:共纳入70项随机对照试验,包括6 973例患者,涉及7种中成药。网状Meta分析结果显示:(1)在提高心绞痛疗效方面,排序依次为养心氏片+常规西药>麝香保心丸+常规西药>冠心舒通胶囊+常规西药>芪参益气滴丸+常规西药>丹蒌片+常规西药>心可舒片+常规西药>益心舒胶囊+常规西药>常规西药;(2)在提高心电图疗效方面,排序依次为芪参益气滴丸+常规西药>养心氏片+常规西药>麝香保心丸+常规西药>冠心舒通胶囊+常规西药>心可舒片+常规西药>益心舒胶囊+常规西药>丹蒌片+常规西药>常规西药;(3)在升高高密度脂蛋白胆固醇方面,排序依次为冠心舒通胶囊+常规西药>益心舒胶囊+常规西药>麝香保心丸+常规西药>心可舒片+常规西药>常规西药;(4)在降低低密度脂蛋白胆固醇方面,排序依次为养心氏片+常规西药>益心舒胶囊+常规西药>冠心舒通胶囊+常规西药>丹蒌片+常规西药>心可舒片+常规西药>麝香保心丸+常规西药>常规西药;(5)在安全性方面,中成药联合常规西药的不良反应整体少于对照组。结论:本研究表明,中成药联合常规西药治疗稳定型心绞痛可显著提高其心绞痛及心电图疗效,同时具有调脂作用且安全性更好。但部分纳入研究的方法学质量不佳,故此结论需进一步在更多高质量研究中予以验证。

含山楂中成药治疗动脉粥样硬化的网状Meta分析

目的:系统评价含山楂中成药治疗动脉粥样硬化的疗效及安全性。方法:检索数据库搜集中成药治疗动脉粥样硬化的RCT。按纳、排标准筛选,对结局指标行网状Meta分析。结果:共纳入40篇文献,试验组涉及6种含山楂中成药,结果显示银丹心脑通软胶囊联合他汀降低TC、TG,升高HDL-C效果更好。荷丹片联合他汀降低LDL-C、hs-CRP效果更好。蒲参胶囊联合他汀提高临床疗效有效率更优。试验组不良反应少于对照组。结论:他汀类药物联合含山楂类中成药可以提高临床疗效。但基于本研究存在不足,应谨慎参考本次排序结果。但需开展更多多中心、大样本、高质量RCT补充验证。

基于海洋产业的城市创新网络特征及邻近性分析

基于2000—2020年海洋产业合作申请专利数据,运用社会网络分析法和地理探测器,分析城市创新网络的拓扑结构、空间格局和邻近性机理。结果表明:①拓扑结构方面,2000年和2001年城市创新网络不具备无标度网络特征;2002—2020年,网络规模逐渐扩大,城市间合作增加,网络以2011年为分界点由松散转为集聚阶段。网络的无标度特性和小世界性逐渐明显,并由“双核心”结构逐渐发育为以北京为单核心的“核心-边缘”结构。②空间格局方面,核心城市和中介城市均表现出区域性特征,主要集聚在京津地区、长三角、珠三角和山东半岛,城市创新网络形成了以三角结构为支撑的四边形空间格局。③城市专利合作由沿海城市向内陆城市扩展,但海洋产业的科技创新主要依靠深圳、青岛、上海、天津、广州等沿海城市和北京、武汉等少部分内陆城市。④社会邻近性对城市创新网络的解释力最高,地理距离对城市合作的限制作用逐渐减弱,不同邻近因子间均存在非线性增强的两两交互作用。

中成药治疗慢性阻塞性肺疾病稳定期的网状Meta分析

目的:采用网状Meta分析评价口服中成药治疗慢性阻塞性肺疾病(COPD)稳定期的有效性及安全性。方法:计算机检索国家知识基础设施数据库(CNKI)、中国学术期刊数据库(CSPD)、中文科技期刊数据库(CCD)、中国生物医学文献数据库(CBM)、PubMed、Embase、Web of Science、Cochrane library数据库中不同中成药治疗COPD稳定期的临床随机对照试验(RCT),检索时限为建库至2022年05月11日。采用R 4.1.1、Stata 16.0、Review manager 5.3软件进行数据分析。结果:共纳入70项RCT,包括6652例患者,涉及5种中成药。依据累计概率值排序,网状Meta分析结果显示,改善COPD自我评估测试(CAT)问卷评分方面,百令胶囊+常规治疗(>常规治疗;改善第一秒用力呼气容积占预计值百分比(FEV_(1)%)方面,百令胶囊+常规治疗>金水宝胶囊+常规治疗>补肺活血胶囊+常规治疗>玉屏风颗粒+常规治疗>常规治疗);改善六分钟步行距离(6MWD)方面,金水宝胶囊+常规治疗>补肺活血胶囊+常规治疗>百令胶囊+常规治疗>常规治疗;降低二氧化碳分压方面(PaCO_(2)),补肺活血胶囊+常规治疗>金水宝胶囊+常规治疗>百令胶囊+常规治疗>常规治疗;降低年急性发作次数方面,百令胶囊+常规治疗>常规治疗。5种中成药均未产生严重不良反应。结论:5种中成药治疗稳定期COPD均能提高临床综合疗效,但各有侧重,其中百令胶囊组综合疗效较好。

活血化瘀类中成药治疗糖尿病视网膜病变的网状Meta分析

目的:应用网状Meta分析方法,比较不同活血化瘀类中成药治疗糖尿病视网膜病变(DR)的临床有效率、实验室指标改善情况及治疗的安全性。方法:通过检索中国知网(CNKI)、万方数据知识服务平台、维普期刊资源整合服务平台(VIP)、Web of Science及Pubmed等数据库获得关于活血化瘀类中成药治疗DR的临床随机对照研究,检索时限为建库至2023年4月10日,并对所检索到的文献进行筛选提取资料,通过Stata 16.0软件实施网状Meta分析。结果:最终纳入63项研究,分析结果显示:复方丹参滴丸+羟苯磺酸钙胶囊总体疗效最为显著;芪明颗粒+羟苯磺酸钙胶囊在改善DR患者视力方面疗效最为显著;复方血栓通胶囊+羟苯磺酸钙胶囊在改善DR患者黄斑厚度及视野灰度值方面疗效最好;和血明目片+羟苯磺酸钙胶囊在减小患者血管瘤体积方面疗效较好;治疗组与对照组均有不良反应报道,治疗组不良反应总体较少。结论:与单用羟苯磺酸钙胶囊比较,活血化瘀类中成药联合羟苯磺酸钙胶囊治疗DR患者,可提高临床有效率,改善患者实验室检查指标,减少不良反应。

中国专利奖视角下的颠覆性技术识别分析

为充分利用专利结构化数据和文本数据,实现准确有效的颠覆性技术识别,以中国专利奖为切入点,提出基于图神经网络的颠覆性技术识别框架。首先以获得中国专利奖的授权发明专利定义颠覆性技术,解决技术定义难的问题;接着使用Neo4j图数据库构建异质有向图,存储专利多重关系数据和方向信息,解决关系数据利用率低的问题;最后使用关系图卷积神经网络(R-GCN)模型进行训练,实现颠覆性技术识别,解决识别效果不佳的问题。研究表明以获得中国专利奖的专利技术直接定义颠覆性技术是合理且可靠的;提出的颠覆性技术识别框架能充分利用专利数据信息和专利异质有向图中空间信息,识别出绝大部分的颠覆性技术,丰富了图神经网络在颠覆性技术识别方面的研究。

技术、组织、环境对企业专利合作网络的影响——基于生物医药上市企业的模糊集定性比较分析

生物医药企业是技术密集型企业,专利合作网络对生物医药企业竞争力至关重要。选取73家生物医药上市企业为研究对象,基于内外因理论和TOE模型构建影响生物医药上市企业专利合作网络的前因变量模型,采用模糊集定性比较分析(fsQCA)方法探究企业规模等5个前因变量与企业专利合作网络的关系及其作用机理。研究结果表明,存在4条影响企业专利合作网络的路径;企业形成高专利合作网络时,研发投入等变量组合发挥作用,单一变量无法起决定性作用;生物医药行业中的医疗器械上市企业受自身或外界环境限制,不易形成高专利合作网络。研究结论可为企业形成高专利合作网络以提高竞争力,以及政府制定相关政策提供了理论支持。