Scientific Data Intellectual Property Research by Literature Statistics

The main obstacle to the open sharing of scientific data is the lack of a legal protection system for intellectual property.This article analyzes the progress of research papers on intellectual property in scientific data in China through literature search and statistics.Currently,research subjects are unbalanced,research content is uneven,research methods are intellectual single,and research depth is insufficient.It is recommended that different stakeholders engage in deep cross disciplinary cooperation,further improve China’s legal and policy protection system for scientific data intellectual property,and promote the open sharing of scientific data.

Intellectual Property Protection and High-Quality Development of Xinjiang Melons under the Big Food Concept

The development of diversified foods such as melons under the big food concept can reduce the pressure on staple food grain.Xinjiang has the advantages of building a new development pattern of dual circulation of diversified food industry and establishing a national diversified food safety and high-quality assurance center.The construction of an agricultural power needs the strategic support of an intellectual property power.This paper introduced and studied Xinjiang s melon industry and its agricultural intellectual property resources,analyzed the six main problems,including many idle land resources have not been developed into melon fields and the role of melons in diversified food supply systems not well played.Finally,it proposed to vigorously develop diversified food industries such as melons in Xinjiang and establish an eight-point strategy such as national diversified food safety and high-quality assurance center.

Research on Teaching Innovation of Property Insurance Course:Based on the Perspective of Big Data Development

The development of big data has brought unprecedented challenges and opportunities to the teaching reform of higher education.Property insurance course is the core course of economics and management,and it is the guarantee for the supply of talents in the health financial market.Big data technology and data economy put forward innovative requirements for its teaching objectives,teaching content,and teaching system.In China’s new round of double-first-class universities and disciplines,big data is an important foundation and driving force.The comprehensive integration of property insurance and big data is reflected in:Cultivate students’big data thinking;Cultivate students’practical application ability based on market employment needs;Build a new discipline system of applied economics,and achieve good coordination between property insurance courses and other disciplines;The government,enterprises and universities form a strategic partnership to jointly participate in the development and construction of courses;The formulation of government policies can have a better governance effect on the development of higher education and talent training.

Inheritance,Innovation and High-quality Development of Herbaceous Edible Oils in Hubei Province under the Strategy of Strengthening the Country with Intellectual Property

Only by improving the production capacity of domestic herbal edible oil can China ensure the safety of the supply chain of the important industrial chain of vegetable edible oil in China and practice the big food concept.In addition to rice,maize,and soybean for using as grain and oil,there are eight kinds of herbaceous edible oil crops in Hubei Province,including rape,peanut,sesame,sunflower,perilla(perilla seed),cotton,linen and tiger nut(Cyperus esculentus).This paper studies the main industries of herbaceous edible oil crops and their intellectual property resources in Hubei Province,and analyzes the main problems of its inheritance,innovation and high-quality development under the strategy of strengthening the country with intellectual property.Finally,it proposes the countermeasures of carrying forward and inheriting traditional knowledge and traditional culture,maintaining the biodiversity of crops,strengthening the creation of new plant varieties and breeding patents,and opening up the whole chain of intellectual property rights.

Intellectual Property Protection,Inheritance,Innovation and Development of Woody Edible Oilseeds in Hubei Province

Only by developing woody edible oilseeds industry can we ensure the safety of the important industrial chain and supply chain of vegetable edible oil in China.There are 13 kinds of woody edible oil plants in Hubei,including Camellia oleifera Abel(oil tea),Juglans regia L.(walnut),Olea europaea L.(olive)and Paeonia suffruticosa(oil peony).This paper studies the main industries of woody edible oilseeds in Hubei Province and their intellectual property resources,and analyzes the main problems in their intellectual property protection,inheritance,innovation and development.Finally,it proposes some strategies,including carrying forward the traditional knowledge related to woody edible oilseeds,innovating the"agricultural chip",creating key counties of national woody edible oil seeds,and developing industrial clusters with national advantages and characteristics.

Design and Implementation of Cloud Platform for Intelligent Logistics in the Trend of Intellectualization

Intellectualization has become a new trend for telecom industry, driven by intelligent technology including cloud computing, big data, and Internet of things. In order to satisfy the service demand of intelligent logistics, this paper designed an intelligent logistics platform containing the main applications such as e-commerce, self-service transceiver, big data analysis, path location and distribution optimization. The intelligent logistics service platform has been built based on cloud computing to collect, store and handling multi-source heterogeneous mass data from sensors, RFID electronic tag, vehicle terminals and APP, so that the open-access cloud services including distribution, positioning, navigation, scheduling and other data services can be provided for the logistics distribution applications. And then the architecture of intelligent logistics cloud platform containing software layer(SaaS), platform layer(PaaS) and infrastructure(IaaS) has been constructed accordance with the core technology relative high concurrent processing technique, heterogeneous terminal data access, encapsulation and data mining. Therefore, intelligent logistics cloud platform can be carried out by the service mode for implementation to accelerate the construction of the symbiotic win-winlogistics ecological system and the benign development of the ICT industry in the trend of intellectualization in China.

The basic core traditional C hinese medicine for the prevention and treatment of COVID-19 and its active mechanisms

Background:COVID-19 has had a dramatic impact on human health,economies,societies,and livelihoods around the world.Traditional Chinese medicine(TCM)formulae have played an important role in the prevention and treatment of COVID-19.WHO evaluated the role of TCM in treating of COVID-19 and encouraged other countries to promote the use of TCM formulae.However,the key is to find the basic core traditional Chinese medicine(BC-TCM)among those formulae.Methods:For the first time,we mined the data of TCM formulae in CNIPA and analyzed herb characteristics and association rules.We then determined the BC-TCM and screened main compounds and therapeutic targets.Finally,the potential molecular mechanisms were explored by using enrichment analyses and molecular docking.Results:This study screened 123 patented TCM formulae,including 312 herbs.According to frequency statistics and association rules,nine herbs(Gan Cao,Jin Yinhua,Guang Huoxiang,Fu Ling,Huang Qi,Jie Geng,Lian Qiao,Cang Zhu,Ku Xingren)were selected as the BC-TCM.The BC-TCM involved 166 main compounds and 48 therapeutic targets.The active compounds Hederagenin,Spinasterol,Beta-sitosterol,and Liquiritin had high binding activity to the COVID-19 targets 3CL,ACE2,and core targets RELA,HSP90AA1,STAT3,MAPK3,and TP53 according to molecular docking results.Interestingly,Hederagenin might be a potential compound for the prevention and treatment of COVID-19.Conclusion:Our research predicted and confirmed the preventive therapeutic effect of BC-TCM on COVID-19.This has the potential to broaden the scope of TCM,guide people in using clinical formulae,and provide valuable insights for future TCM discovery research.

Cyberattack Ramifications, The Hidden Cost of a Security Breach

In this in-depth exploration, I delve into the complex implications and costs of cybersecurity breaches. Venturing beyond just the immediate repercussions, the research unearths both the overt and concealed long-term consequences that businesses encounter. This study integrates findings from various research, including quantitative reports, drawing upon real-world incidents faced by both small and large enterprises. This investigation emphasizes the profound intangible costs, such as trade name devaluation and potential damage to brand reputation, which can persist long after the breach. By collating insights from industry experts and a myriad of research, the study provides a comprehensive perspective on the profound, multi-dimensional impacts of cybersecurity incidents. The overarching aim is to underscore the often-underestimated scope and depth of these breaches, emphasizing the entire timeline post-incident and the urgent need for fortified preventative and reactive measures in the digital domain.

数据产权与数据知识产权之辨

数据权属、数据权利、数据权益、数据产权、数据知识产权等诸多概念,形成了数据权利概念谱系。其中,数据产权与数据知识产权,二者边界为何,亟需在各自的理论体系中重新梳理。数据产权为中国政策文件所独创,语词表达上属于经济学意义上的产权,在法学上可转化为“数据权益”,本身可构造为持有、控制、访问、复制、使用、分享、收益、处分等诸多权能或权项,其与市场机制相联系。数据知识产权,在语词构成上稍欠科学,同时也不符合法律概念构成通例。这一语词或概念,更多聚焦于如何在知识产权领域认识数据,探讨数据是否可由知识产权保护、与信息产权之间的关系以及是否创设数据相关的新型知识产权等问题。故此,数据产权与数据知识产权有必要进一步辨析与反思,二者有着不同的理论论域和论证脉络,适用上存在一定交叉,亦应进行功利主义的解释重构。

从知识产权到数据要素:AIGC相关制度困境的化解

人工智能生成物的出现导致知识产权法理论基础遭遇困境,既有规则存在解释与适用困境。生成式人工智能技术带来的知识产权法律争议背后是过程论抑或结果论的不同选择。化解争论与分歧的根源在于对生成式人工智能涉及的对象予以准确、科学的界定,对相关客体的关照应从知识产权转变为更广泛的数据要素视角。数据要素视角下,传统的劳动价值说、个人自由主义与激励理论应进行时代性解读,以适应人工智能科技发展与利益平衡的现实需求。结合数字经济与产业发展动态、知识产权法的社会功能以及保护范围扩张趋势,对生成式人工智能技术创新与应用需作人本主义的解读,推动AIGC(Artificial Intelligence Generative Contents,人工智能生成内容)知识生产与理性运用的利益协调,基于数字市场中知识产权与数据要素的复杂关系,开展制度价值判断与效果评估。

数据登记典型模式与实践路径分析

数据的权属问题是推进数据要素市场化配置改革的基础性、关键性问题,数据登记是推进数据确权的有效路径。通过对各地数据登记有关资料进行分析发现,数据登记一般包括数据财产权登记和数据知识产权登记两种典型模式,数据财产权登记路径主要分为政府主导、企业主导和政企协同三种登记路径,而数据知识产权登记主要由知识产权保护中心等事业单位主导登记。为充分发挥数据登记的作用,总结分析了数据登记的登记对象、登记结果、登记效力等方面的难点问题,并针对性地提出相关建议。

数据知识产权登记保护面临的难点挑战与应对策略

随着数字化转型的加速推进,数据作为现代经济社会的核心资源,在现代企业运营中的地位愈加重要,发展数字经济已上升为国家战略。然而,随着数据量的爆炸性增长和数据应用的日益广泛,如何有效保护数据知识产权成为亟待解决的问题。文章通过对数据知识产权概念加以阐述,围绕目前数据知识产权登记的方法与要求,深入剖析数据知识产权登记与保护的难点,进而提出有针对性的应对策略。

Modeling hot strip rolling process under framework of generalized additive model

This research develops a new mathematical modeling method by combining industrial big data and process mechanism analysis under the framework of generalized additive models(GAM)to generate a practical model with generalization and precision.Specifically,the proposed modeling method includes the following steps.Firstly,the influence factors are screened using mechanism knowledge and data-mining methods.Secondly,the unary GAM without interactions including cleaning the data,building the sub-models,and verifying the sub-models.Subsequently,the interactions between the various factors are explored,and the binary GAM with interactions is constructed.The relationships among the sub-models are analyzed,and the integrated model is built.Finally,based on the proposed modeling method,two prediction models of mechanical property and deformation resistance for hot-rolled strips are established.Industrial actual data verification demonstrates that the new models have good prediction precision,and the mean absolute percentage errors of tensile strength,yield strength and deformation resistance are 2.54%,3.34%and 6.53%,respectively.And experimental results suggest that the proposed method offers a new approach to industrial process modeling.

COMPUTERIZED PREDICTION SYSTEM FOR THERMOPHYSICAL PROPERTIES

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生成式人工智能的知识产权法律因应与制度创新

生成式人工智能的复合产品结构与自主运转功能造成了知识产权法律适用的难题与挑战。在复合产品结构下,知识产权法律难题源于生成式人工智能核心要素之算法与数据的知识产权保护问题;在自主运转功能下,知识产权法律挑战则呈现为生成式人工智能衍生内容的知识产权授权与确权问题。对此,应积极推进生成式人工智能场景下的知识产权法律变革,立足生成式人工智能核心要素与衍生内容,有针对性地展开知识产权制度创新,从而实现对生成式人工智能知识产权法律问题的合理回应。

“Astragali Radix−Salviae Miltiorrhizae Radix Et Rhizoma”herb pair in the treatment of liver cirrhosis and its pharmacological mechanisms

Objective:Liver cirrhosis is a disease that seriously damages human health.Traditional Chinese Medicine(TCM)formulae have a good therapeutic effect on cirrhosis,and the herb pair is the smallest unit in formula compatibility,which is important for improving the therapeutic effect.Therefore,identifying core herb pairs among TCM formulae is key.Methods:We mined the data of TCM formulae for the treatment of cirrhosis in the China National Intellectual Property Administration for the first time and analyzed their herb characteristics and association rules.We screened 405 patented TCM formulae,including 953 herbs.Based on frequency statistics and association rules,we determined“Astragali Radix-Salviae Miltiorrhizae Radix Et Rhizoma”as the core herb pair.Results:Six active compounds,Isorhamnetin,Formononetin,Calycosin,Cryptotanshinone,Dihydrotanshinone I,and Tanshinone II A,were screened out based on previous studies and network pharmacology.We found that SRC,TP53,HSP90AA1,MAPK3,MAPK1,and STAT3 played pivotal roles in treating cirrhosis.Interestingly,molecular docking indicated that MAPK3 might be a potential pharmacological target for cirrhosis.Conclusion:We preliminarily predicted and verified the pharmacological and molecular mechanism of“Astragali Radix-Salviae Miltiorrhizae Radix Et Rhizoma”in treating cirrhosis.This can expand the scope of TCM in the treatment of cirrhosis,guide people to use clinical formulae,and provide valuable insights for further drug discovery studies.

“数据”可否纳入知识产权客体范畴?

《民法总则》(草案)第108条将“数据信息”纳入知识产权客体范畴,虽然该规定最终未获通过,但却引发了学界和业界的热议,数据可否纳入知识产权客体范畴的讨论方兴未艾。根据“信息链”理论,事实、数据、信息、知识和情报之间是呈现一种由下至上逐步提炼加工的链式关系,数据与信息、知识、情报之间依次包含。但数据并不符合知识产权客体的一般特征,若将“数据”整体直接纳入知识产权客体的范畴,会冲击已有的权能和体系,影响知识产权客体家族的统一性和协调性。应对数据进行分类保护,在现有知识产权保护基础之上,增设数据产权保护模式,数据主体就个人原始数据享有数据人格权和数据财产权;企业就其加工处理取得的衍生数据享有数据财产权,企业这种财产权利取得的门槛低于知识产权取得,不必要求独创性、创造性或显著性等知识产权客体的一般特征,宜采取弱保护模式。

数据知识产权登记:商业秘密模式抑或数据库模式

数据知识产权登记试点实践的背后隐含着商业秘密模式和数据库模式的理论分歧。数据的商业秘密保护存在影响数据访问、阻碍数据流通利用的负面效应,不值得在制度上予以强化激励。与其通过商业秘密模式寻求数据与知识产权的关联,不如转向数据库模式。我国数据知识产权登记实践中普遍存在“数据结构”要求,与欧盟的数据库概念具有相通之处。“数据结构”可以体现数据集合的智力成果属性。在大数据时代,数据知识产权保护具有超越传统的数据库保护的内涵。相比欧盟“限缩保护范围—权能宽泛模糊”的数据库特殊权利范式,我国可以选择“扩张保护范围—限缩权利内容”的对应范式,从而适应数字时代数据财产保护的新需求,打造数据库保护的中国升级版。

技术封建主义:文化霸权的新向度

技术封建主义是西方学界最近提出的一种理论话语,它力图对当下以互联网、大数据、云计算、人工智能等为表征的资本主义新状况进行阐释。学界对此的研究主要集中在经济和政治层面,而对于其文化影响则未有阐述。在新技术条件下,技术封建主义题旨已然溢出单纯的经济疆域和政治边界,广泛地渗透到当代社会生活的方方面面。在此语境中,技术封建主义的文化逻辑主要在知识垄断和大数据操控两个层面展开:一方面,通过窃取或掠夺而来的知识,文化霸权得到极大的巩固和加强;另一方面,通过大数据下的信息推送,根据大他者的欲望而结构起来的主体欲望得到了空前的关注和放大。由此,文化霸权以一种全新的样态给主体带来了前所未有的影响和规约。

从景观到景像:数字时代吸引资产权再探讨

在注意力经济时代,地方文化以及景观所承载的吸引价值已经商业化为具有文化和经济双重属性的吸引资产。由于景观的广域性以及文化的集体创造特征,限制了使用知识产权工具保护其产权人财产权利的作用。数字技术推动下,越来越多的文旅吸引物向数字化转换,关于它们的所有权和用益权问题日益严峻,亟须突破现有知识产权框架,以前瞻性的法律方式建立起保护吸引资产权益的治理体系。文章意图贯通从现实吸引资产权益产生到吸引资产形成,及至其数据资产生成的全过程。文章在回顾国际上关于文化财产权利保护的研究进展和相关争议的基础上,剖析了知识产权难以保护集合性吸引资产权益的原因;继而将旅游吸引物权扩展为范畴更广的吸引资产权概念,阐释了吸引资产权与知识产权之间的互补关系。文章进一步从吸引资产权与观景权形成互换性利害关系的角度论证了吸引资产权设立的合理性与必要性,剖析了吸引资产权的适用条件、应用原则与制度基础,最后结合数字化背景对吸引物数字复刻后的数据产权归属进行了讨论。文章推进和深化了对旅游吸引物权的理解和研究,为应对未来数字社会中的相关财产争议提供了法律解决方案,有助于推动文旅深度融合和数字文旅产业有序发展。率先认可吸引资产权的法定权益,可以成为中国对世界文化和传统知识保护的有益制度贡献之一。