World Patent Information最新文献_第2页

Antihypertensive peptides from photosynthetic microorganisms: A systematic patent review (2010–2023) 来自光合微生物的抗高血压肽：系统性专利综述（2010-2023 年）

IF 2.2

World Patent Information Pub Date : 2024-08-25 DOI: 10.1016/j.wpi.2024.102304

Karoline Mirella Soares de Souza , Ariadne Tennyle Vieira de Souza , Raquel Pedrosa Bezerra , Ana Lucia Figueiredo Porto

{"title":"Antihypertensive peptides from photosynthetic microorganisms: A systematic patent review (2010–2023)","authors":"Karoline Mirella Soares de Souza , Ariadne Tennyle Vieira de Souza , Raquel Pedrosa Bezerra , Ana Lucia Figueiredo Porto","doi":"10.1016/j.wpi.2024.102304","DOIUrl":"10.1016/j.wpi.2024.102304","url":null,"abstract":"<div><p>Microalgae are rich sources of biomolecules, especially proteins and peptides, with bioactive properties, such as antihypertensive action that act through the inhibition of the angiotensin-converting enzyme (ACE). Innovation in production methods of these peptides is crucial to make them more efficient and accessible. The aim of this work aims to review patents about antihypertensive peptides from microalgae. The search was conducted on three electronic databases between 2010 and 2023. The search covered 2248 patents, which only 6 met the inclusion criteria. All patents were filed on the Asian continent, particularly in the China and Korea. <em>Spirulina, Chlorella</em> and <em>Nannochloropsis oculate</em> were more reported, being used in the production of medicines and/or pharmaceutical compositions. The majority of patents filed show obtention methods and alternatives for producing peptides, containing 3 to 7 amino acid sequences. The highest concentration of patents was about medical treatments or examinations (A61) followed by food or methods or food products (A23) and involving chemical compounds or extraction methods for pharmaceutical products (C07). Thus, this study provided a comprehensive view of technological innovations related to methods of producing peptides from microalgae, contributing to advances in cardiovascular health and the development of new pharmaceutical bioproducts.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"78 ","pages":"Article 102304"},"PeriodicalIF":2.2,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142058182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The year of jubilees 禧年

IF 2.2

World Patent Information Pub Date : 2024-08-05 DOI: 10.1016/j.wpi.2024.102303

Stephen R. Adams

引用次数: 0

Exploring macro patenting trends and key technological components in offshore wind energy 探索海上风能的宏观专利趋势和关键技术要素

IF 2.2

World Patent Information Pub Date : 2024-08-02 DOI: 10.1016/j.wpi.2024.102300

Francesco Pasimeni , Juan Pablo Jiménez Navarro , Geert Boedt , Johannes Schaaf

{"title":"Exploring macro patenting trends and key technological components in offshore wind energy","authors":"Francesco Pasimeni , Juan Pablo Jiménez Navarro , Geert Boedt , Johannes Schaaf","doi":"10.1016/j.wpi.2024.102300","DOIUrl":"10.1016/j.wpi.2024.102300","url":null,"abstract":"<div><p>This study employs data-driven analysis to examine the patent filing statistics in the offshore wind energy sector, offering valuable insights for policymakers. The study uses data from a newly constructed patent dataset (available online for complete download) covering twelve aspects of offshore wind technology, including foundations, tower designs, transmission systems, blades, rotors, and submarine cables. The creation of the dataset is the result of the collaborative efforts of technology specialists, patent analysts, and expert patent examiners in the field of wind technology, ensuring data quality and extensive coverage of the latest offshore wind energy patents. The analysis shows a surge in global patent filings from 2006 to 2012, followed by a period of stagnation until 2017, when patent activity experienced a resurgence. Europe, Asia, and the USA emerge as prominent players, with Germany, Denmark, China, and Japan leading the charge, indicative of a global offshore wind market. Areas for further development include optimising floating foundations, improving tower and blade designs, recycling wind blades, addressing rare earth material impacts and prioritising energy storage and green hydrogen production for power system balance and decarbonisation.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"78 ","pages":"Article 102300"},"PeriodicalIF":2.2,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0172219024000401/pdfft?md5=6c5a156df1c2accbb258f0765da3658c&pid=1-s2.0-S0172219024000401-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141961128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Characterization of the technological domain of relational citation analyses: A study of stem cell patents 关系引文分析技术领域的特征：干细胞专利研究

IF 2.2

World Patent Information Pub Date : 2024-07-30 DOI: 10.1016/j.wpi.2024.102302

Fernanda Bochi, Maria Cláudia Cabrini Grácio

引用次数: 0

Machine learning-based method to cluster a converging technology system: The case of printed electronics 基于机器学习的聚类技术系统方法：印刷电子技术案例

IF 2.2

World Patent Information Pub Date : 2024-07-30 DOI: 10.1016/j.wpi.2024.102301

Annika Wambsganss , Laura Tomidei , Nathalie Sick , Søren Salomo , Emna Ben Miled

{"title":"Machine learning-based method to cluster a converging technology system: The case of printed electronics","authors":"Annika Wambsganss , Laura Tomidei , Nathalie Sick , Søren Salomo , Emna Ben Miled","doi":"10.1016/j.wpi.2024.102301","DOIUrl":"10.1016/j.wpi.2024.102301","url":null,"abstract":"<div><p>Technology convergence is considered one of the cornerstones of technological innovation as a phenomenon emerging at the intersection of two previously unrelated fields of technology. The new technological system is a new combination of knowledge types, technology components and intersections. For this matter, analyzing patents is an essential part for strategic decision making. However, the manual analysis of large amounts of patent semantics is often time-consuming, extensive, and difficult even for experts. To enhance manual patent analyses, new machine learning-based techniques are gaining increasing interest. This study aims to enrich this methodological research by developing and evaluating an unsupervised text-mining approach to automatically cluster patents of two knowledge types into four technology components. To this end, this study presents a five-step method including the comparison between different algorithms and design choices. This method is applied to printed electronics-relevant patents extracted from the Derwent World Patent Index and enables to draw recommendations for automated patent analyses. The findings show different significances for types of components: while components of the specialized knowledge type could be predicted with significance, components of the design knowledge types could not provide significant results.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"78 ","pages":"Article 102301"},"PeriodicalIF":2.2,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0172219024000413/pdfft?md5=9419d85467996c1b96e9ddb6e76e64ef&pid=1-s2.0-S0172219024000413-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141883866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A patent landscape of sustainable mobility innovations in land transportation 陆地交通领域可持续交通创新的专利概况

IF 2.2

World Patent Information Pub Date : 2024-07-27 DOI: 10.1016/j.wpi.2024.102299

Jyoti Prajapati, Arijit Paul, Rupert J. Baumgartner

{"title":"A patent landscape of sustainable mobility innovations in land transportation","authors":"Jyoti Prajapati, Arijit Paul, Rupert J. Baumgartner","doi":"10.1016/j.wpi.2024.102299","DOIUrl":"10.1016/j.wpi.2024.102299","url":null,"abstract":"<div><p>Technological innovation can play a major role in developing a sustainable mobility system. To generate a state-of-the-art of sustainable mobility innovations, and understand its future trajectory we use the systemic perspective of the sustainable mobility paradigm Avoid-Shift-Improve to present a patent landscape of the entire land-transportation system. The descriptive part of our study covers 425,885 granted patent families between 1970 and 2016 across 75 patent jurisdictions. In the predictive part, we use this dataset to forecast sustainable mobility innovations till 2030. We identify the USA, and China are the leading knowledge importers in sustainable mobility innovations, whereas Japan and Germany are the leading knowledge exporters. Overall, our analysis suggests that there is a visible shift in sustainable mobility innovation towards a low emission mobility future that is more connected and electric than before. However, the combined effects of continued growth in innovation for efficiency gain in GHG emitting mobility technologies, a high level of uncertainty in future innovation trajectory in vehicle charging and hydrogen technology, and a low level of innovation activities in mass and non-motorized transportation technologies can imperil a faster transition to a zero-emission future of mobility.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"78 ","pages":"Article 102299"},"PeriodicalIF":2.2,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0172219024000395/pdfft?md5=a97c4a5c545ef6f82f972cefd92c9e71&pid=1-s2.0-S0172219024000395-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141954262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Patent status of biodegradable polymers and identification of new application areas by IPC network analysis 生物可降解聚合物的专利状况以及通过 IPC 网络分析确定新的应用领域

IF 2.2

World Patent Information Pub Date : 2024-07-20 DOI: 10.1016/j.wpi.2024.102298

Cheol-Ju Lee , Hyoung Ryul Ma , Young-Teck Kim

{"title":"Patent status of biodegradable polymers and identification of new application areas by IPC network analysis","authors":"Cheol-Ju Lee , Hyoung Ryul Ma , Young-Teck Kim","doi":"10.1016/j.wpi.2024.102298","DOIUrl":"10.1016/j.wpi.2024.102298","url":null,"abstract":"<div><p>Biodegradable polymers (BDPs), due to their degradability, have great merits for applications in the environmental fields compared to conventional polymers. Furthermore, they are recently receiving renewed attention with the rise of globally issued environmental problems caused by plastic wastes. However, BDPs are still produced and utilized with limited amounts and applications in comparison to conventional plastics. To help expand the application area of BDPs, we mainly focus on the emerging and exotic technologies of BDPs by analyzing International Patent Classification (IPC) co-classification networks constructed from 2,862 patents on BDPs filed with the US Patent and Trademark Office from 2006 to 2022. As a result, by detecting both recently appearing and isolated IPCs, new and relatively unknown application areas of BDPs such as animal trap, polishing composition, rope lubricant, underground structure, ammunition, digital data carrier are identified. Our IPC analysis methodology studied in the field of BDPs would be also useful for researchers and entrepreneurs searching new and emerging applications in various technology areas.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"78 ","pages":"Article 102298"},"PeriodicalIF":2.2,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141732306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forecasting patenting areas with academic paper & patent data: A wind power energy case 利用学术论文和专利数据预测专利领域：风能案例

IF 2.2

World Patent Information Pub Date : 2024-07-19 DOI: 10.1016/j.wpi.2024.102297

Chih-Hung Hsieh , Chien-Huei Lin , Louis Y.Y. Lu , Angel Contreras Cruz , Tugrul Daim

引用次数: 0

Identifying core IoT technologies using ARM and FCM: A comprehensive data-driven method 利用 ARM 和 FCM 识别核心物联网技术：一种全面的数据驱动方法

IF 2.2

World Patent Information Pub Date : 2024-07-17 DOI: 10.1016/j.wpi.2024.102295

Jalil Heidary Dahooie , Iman nouri , Mehdi Mohammadi , Haydar Yalcin , Tugrul Daim

{"title":"Identifying core IoT technologies using ARM and FCM: A comprehensive data-driven method","authors":"Jalil Heidary Dahooie , Iman nouri , Mehdi Mohammadi , Haydar Yalcin , Tugrul Daim","doi":"10.1016/j.wpi.2024.102295","DOIUrl":"10.1016/j.wpi.2024.102295","url":null,"abstract":"<div><p>The internet of things (IoT) technology has garnered significant attention in recent years due to its wide-ranging applications. IoT, with its high connectivity capabilities, integrates various industrial, domestic, and agricultural devices into a smart and remotely controllable software and hardware platform. The field of IoT technology is expansive and encompasses a multitude of sub-technologies. Identifying core technologies in this domain is crucial for guiding research and development efforts by companies. Given the interrelation of these core technologies and their combination with recent decision-making approaches, network-based strategies have recently received special attention. The developed methods are based on static conditions and the assumption of stability, while in emerging technologies like IoT, the pace of changes over time is high. This leads to changes in the importance of technologies under various scenarios.</p><p>In this study, in order to analyze the extracted patent data, association rule mining (ARM) algorithms were applied to identify the relationships between technologies and social network analysis was used to analyze the relationships between technologies and estimate their initial weights. Finally, fuzzy cognitive map (FCM) were used to estimate the final weights of technologies and rank them. The fcm approach allows for simultaneous modeling of both static and dynamic states of the system and, on the other hand, by calculating under various scenarios, suggests a core technology that is sustainable.</p><p>The research results show that digital information transmission technologies, digital or electrical data processing, and wireless communication networks are the most important sub-technologies of Internet of things.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"78 ","pages":"Article 102295"},"PeriodicalIF":2.2,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Will AI solve the patent classification problem? 人工智能能否解决专利分类问题？

IF 2.2

World Patent Information Pub Date : 2024-07-14 DOI: 10.1016/j.wpi.2024.102294

Eleni Kamateri , Michail Salampasis , Eduardo Perez-Molina

引用次数: 0