Patent Trends Research Articles

Patent Trend Analysis in Construction Materials for Carbon Emission Reduction: A Topic Modeling Approach

The increasing concern over carbon emissions and climate change has led to great interest in research and innovation for construction materials to reduce environmental impact. This study employs topic modelling techniques to analyze patent trends in the field of advanced construction materials focusing on carbon emission reduction. The methodology involves the application of topic modelling algorithms, which is Latent Dirichlet Allocation (LDA), to categorize the latent thematic clusters within the patent corpus and to cluster patent technologies. The resulting topics identify key areas of technological advancement, providing insights into emerging trends and innovations. In addition, this study explores the interconnectivity between topics that will help develop solutions for carbon emission reduction. The analysis highlights the advanced materials technologies and their development to achieve sustainable solutions. This patent trend analysis can guide researchers and industry professionals and contribute to the understanding of global efforts to reduce carbon emissions in advanced construction materials.

Intellectual Property in Battery Cell Production: A Step-By-Step Regional Analysis

The decision to establish lithium-ion batteries (LIBs) as the technology of choice for electric vehicles (EVs) led to a remarkable and continuous growth in global demand for LIBs, further driven by the promotion of low-carbon transport. This promotion stimulated numerous technological innovations along the cell production value chain of LIBs, building on the implicit and explicit knowledge of the stakeholders in the sector. The assessment of this knowledge is enabled by data science methods that analyze innovative intellectual property (IP) and specialized Know-How, offering acceleration of development and cost savings. While previous data science approaches have focused on either materials in LIBs or holistic approaches to EVs, a void remains in the analysis of LIB cell production patents and the identification of less pronounced technology areas and potential white spots along the value chain. This work aims to address this void by identifying development pathways and investment opportunities for stakeholders and policy makers in LIB cell production. To achieve this, a new patent-based analysis framework is implemented, which addresses three sub-questions. First (1), the technological maturity of the state-of-the-art production processes from a regional perspective. Secondly (2), the international patenting trends to identify processes with the greatest potential for innovation. Finally (3), a network analysis approach to qualitatively assess the impact and competitiveness of various regions within each process and along the entire cell production value chain.To conduct the quantitative analysis, patent data from 1989 to 2023 was gathered and keywords were used to classify each cell production step. The patent quality was determined by calculating the mean eigenvector centralities for each region from the generated process-dependent networks. Eigenvector centralities are a valuable tool for gauging the impact of patents, as they describe the extent of connections between a single patent and other patents in the network.The study's results answered each sub-question, showing that (1) Japan’s technology lead was reversed after 2008 and overtaken by China in total patent numbers in 2018. Japan's former leadership and pioneering role in this field is reflected by a significant number of patents granted since 1993. In 2021, China holds the dominant position in technology patents across the whole production value chain with a share of 49%, witnessing the highest growth rate internationally since 2014. Moreover, the findings demonstrate (2) a maturation in the component production, expressed by a decrease in annual patenting, accompanied by a steady increase in patents for cell assembly processes to this date. The conditioning processes of the LIBs were identified as the most promising steps for innovation, with high potential to reduce costs and energy consumption. Finally, the qualitative analysis revealed (3) that the United States and Japan possess the broadest IP portfolios with the highest impact. The impact of China’s patent portfolio seems to be limited to partial connections within individual processes, thereby suggesting a preference on targeted innovations in one production step.In conclusion, this work has enabled the assessment of the state-of-the-art LIB cell production and identified technology areas and white spots. It will assist stakeholders and policy makers in selecting potential investments that can give them a competitive edge over other entities in the LIB market. In future work, the emphasis will be on the component production by implementing an analysis of the dry coating landscape. The introduction of dry coating can potentially eliminate the drying step, which is a major contributor to costs and energy consumption. Patent analysis will be adapted to evaluate trends in the key processes and the respective companies and institutions in this technology area.

Comprehensive Review of Microbial Inoculants: Agricultural Applications, Technology Trends in Patents, and Regulatory Frameworks

Agriculture is essential for nutrition and the global economy, becoming increasingly important due to population growth and higher food demand. This situation boosts interest in creating bioproducts that enhance productivity sustainably while reducing environmental issues and strain on natural resources. Bioinoculants are important innovations that use beneficial microorganisms to boost crop growth and resilience. They enhance the interaction between soil and plants by solubilizing essential nutrients and producing phytohormones. This not only boosts agricultural productivity but also promotes environmentally sustainable practices by decreasing reliance on chemical fertilizers. Considering the relevance of this subject to advances in agro-industrial biotechnology, this review analyzes recent studies and patent advances on the production and use of bioinoculants, as well as their integration into agricultural practices and plant development. It also explores the dynamics of production and downstream processes on an industrial scale, regulations in different countries, and growing market demands, which is an important feature of this review. Furthermore, future perspectives for the application of bioinoculants in agro-industrial biotechnology are discussed, emphasizing the critical role that these biological agents play in advancing agricultural sustainability.

Prospects for the Transfer of Intelligent Solutions for a Smart City

An analysis of intelligent solutions for all types of V2X technologies communications was carried out the through patent search and development of the patent landscape. To analyze the patent activity, a domain model was compiled, on the basis of which patenting trends over the past 20 years were determined and the dynamics of patent activity were formed taking into account the legal statuses. The distribution of patents among the leading companies has been identified, and the geography of patenting has been determined.

Cutting–edge development and patent trends in carbon nanotubes drug delivery: Applications in treatment of cancer, neurological disorders and infectious diseases

Cutting–edge development and patent trends in carbon nanotubes drug delivery: Applications in treatment of cancer, neurological disorders and infectious diseases

Exploring Electric Vehicle Patent Trends through Technology Life Cycle and Social Network Analysis

In response to environmental and energy challenges, electric vehicles (EVs) have re-emerged as a viable alternative to internal combustion engines. However, existing research lacks a comprehensive analysis of the technology life cycle of EVs in both global and South Korean contexts and offers limited strategic guidance. This study introduces a novel approach to address these gaps by integrating the S-curve model with social network analysis (SNA), time series analysis, and core applicant layouts. The study specifically utilizes the logistic curve to model technology growth. It applies SNA methods, including International Patent Classification (IPC) co-occurrence analysis and the betweenness centrality metric, to identify the stages of technological development and sustainable research directions for EVs. By analyzing patent data from 2004 to 2023, the study reveals that EV technologies have reached the saturation phase globally and in South Korea, with South Korea maintaining a two-year technological advantage. The research identifies sustainable research directions, including fast charging technology and charging infrastructure, battery monitoring and management, and artificial intelligence (AI) applications. Additionally, the study also determined the sustainability of these research directions by examining the sustainability challenges faced by EVs. These insights offer a clear view of EV technology trends and future directions, guiding stakeholders.

Research Patents on Potato Harvesters

Background: Potato is a major food crop that is widely grown in more than 100 countries around the world. The production of this crop is a labor-intensive process, and its field production mainly includes seed arrangement, seedling cutting, ploughing, ridging, transplanting, field management, and harvesting (vine cutting, digging, cleaning up, and collection). With the improved models, the labor can be reduced to nearly half in the production process of potato. Objective: The objective of this study was to provide a comprehensive description of the classification, characteristics, and development of existing potato harvesters. Methods: In this study, a review on the principle of potato harvesting and related patents has been conducted. We have also introduced the structural characteristics and differences in applications of potato harvesters. Results: The existing potato harvesters have been analyzed and compared in this paper, and the typical characteristics have been summarized. The main problems existing in the development of potato harvesters are analyzed, the development trend of potato harvesters is forecasted, and the research status and future development trend of potato harvesters and patents are discussed. Conclusion: Based on our research, we have found that potato harvesters can be classified into three categories based on the harvesting process, clearing the vine, and harvesting machine. The combine harvester is capable of both clearing the vine and harvesting, and it has been reported to significantly improve the efficiency. However, for special terrain or other conditions not suitable for the combine harvester, the cutting and harvesting machine can perform both the steps. Currently, potato harvesters are not popular at home and abroad, and future development of potato harvesters must focus on them being intelligent, lightweight, and unmanned.

Cutting-Edge Developments and Patent Trends in Microspheres Drug Delivery: A Comprehensive Overview.

Microspheres have emerged as innovative drug delivery platforms with significant potential to improve the therapeutic efficacy of drugs with limited aqueous solubility and prolong their release. This abstract provides an overview of recent developments in microsphere research, highlighting key trends and innovative approaches. Recent studies have focused on various aspects of microspheres, including formulation techniques, materials selection, and their applications in drug delivery. Recent breakthroughs in polymer science have paved the way for the creation of innovative biodegradable and biocompatible materials for microsphere fabrication, improving drug encapsulation effectiveness and release dynamics. Notably, the integration of nanomaterials and functionalized polymers has enabled precise control over drug release rates and enhanced targeting capabilities. The utilization of microspheres for administering a diverse array of therapeutic substances, including anticancer drugs, anti-inflammatory agents, and peptides, has gained significant attention. These microspheres have demonstrated the potential to enhance drug stability, minimize dosing frequency and enhance patient adherence.

Discovering patterns and trends in customer service technologies patents using large language model

The definition of service has evolved from a focus on material value in manufacturing before the 2000s to a customer-centric value based on the significant growth of the service industry. Digital transformation has become essential for companies in the service industry due to the incorporation of digital technology through the Fourth Industrial Revolution and COVID-19. This study utilised Bidirectional Encoder Representations from Transformer (BERT) to analyse 3029 international patents related to the customer service industry and digital transformation registered between 2000 and 2022. Through topic modelling, this study identified 10 major topics in the customer service industry and analysed their yearly trends. Our findings show that as of 2022, the trend with the highest frequency is user-centric network service design, while cloud computing has experienced the steepest increase in the last five years. User-centric network services have been steadily developing since the inception of the Internet. Cloud computing is one of the key technologies being developed intensively in 2023 for the digital transformation of customer service. This study identifies time series trends of customer service industry patents and suggests the effectiveness of using BERTopic to predict future trends in technology.

Analysis of patent trends related to microbiome and probiotics based on the treatment of digestive diseases for pets

Analysis of patent trends related to microbiome and probiotics based on the treatment of digestive diseases for pets

Patents trends analysis of microbiome-based treatment technology for neurological disorders in pets

Patents trends analysis of microbiome-based treatment technology for neurological disorders in pets

Trends in the Development of Acupuncture-Related Technologies Based on Patents in South Korea.

Several studies have assessed the safety and efficacy of acupuncture, but none have reviewed patent trends related to acupuncture as an intervention. This study analyzed trends in patents for the development of acupuncture-related technologies in Korea. The Korea Intellectual Property Rights Information Service (KIPRIS) was searched for information on acupuncture-related patents registered until August 11, 2021, without any limit on the search period. Only acupuncture and electro-acupuncture were included in this review. The current status, contents, and technological characteristics of the relevant patents were analyzed systematically to identify the overall status of acupuncture-related patents. Overall, 126 patents were identified from the KIPRIS database, of which 93 were unrelated to the research topic and were excluded. Finally, 33 patents were assessed. Interest in the development of acupuncture technology has increased steadily over the past decade. Patent applications reached their peak in 2018 with six instances, while patent registration peaked in 2019 with seven instances. The interval between the application and registration of an individual patent was 14.3 months (449 days). Twenty-two acupuncture-related patents were for acupuncture (66.6%) and 11 for electro-acupuncture (33.3%). The technical specifications for the patents included acupuncture devices (30.3%), acupuncture manufacturing methods and equipment (36.4%), and electro-acupuncture devices (33.3%). Acupuncture-related technology currently focuses on technological advancements for the safe and effective delivery of stimulation. The findings demonstrate trends toward new diverse and complex technological advancements for acupuncture devices, manufacturing methods and equipment, and electro-acupuncture devices.

Patent Spectrum of Human Digital Twins

Although no "absolute" definition exists, a human digital twin (HDT) may be defined as a virtual physiological copy or counterpart in digital world of a real person existing in the physical world having active connection between the human and his corresponding twin in metaverse. The current study aims to explore the intellectual property rights (IPR) challenges of HDTs. Previously discussions on HDT have mostly focused their potential use in health system for predictions of diseases nearly ignoring the patent associated with them. Current study highlights patent landscape analysis of HDT indicating current trends in HDT patents and future scenario of this technology.

Comparison of patenting trends and alliance patterns among countries with a majority religion: structural topic model and network analysis

ABSTRACT In our modern, technologically advanced society, 84% of the world’s population holds some form of religious faith. Our history has also witnessed religion and technology having an impact on each other. Assuming the underlying correlation between them, we question whether there are distinguished technological features among countries with strong religions. This study examines the technological trends in countries with a majority religion according to the dominant religion of each – namely, Judaism, Islam, and Hinduism. We applied structural topic modelling (STM) and co-patent network analysis to patents from those countries registered with the United States Patent and Trademark Office between 1965 and 2015. According to the STM results, technologies appear to reflect geographical environments, industrial concentrations, and investments led by governments and private sectors rather than religion. Moreover, countries with a majority religion in our study had mainly collaborated with the United States and European countries, regardless of religious tendency.

Descriptive Review of Patents in Healthcare and Nursing: Based on Network Analysis

The significance of the healthcare industry has grown exponentially in recent years due to the impact of the fourth industrial revolution and the ongoing pandemic. Accordingly, this study aimed to examine domestic healthcare-related patents comprehensively. Big data analysis was used to present the trend and status of patents filed in nursing. The descriptive review was conducted based on Grant and Booth's descriptive review framework. Patents related to nursing was searched in the Korea Intellectual Property Rights Information Service between January 2016 to December 2020. Data analysis included descriptive statistics, phi-coefficient for correlations, and network analysis using the R program (version 4.2.2). Among 37,824 patents initially searched, 1,574 were selected based on the inclusion criteria. Nursing-related patents did not specify subjects, and many patents (41.4%) were related to treatment in the healthcare delivery phase. Furthermore, most patents (56.1%) were designed to increase effectiveness. The words frequently used in the titles of nursing-related patents were, in order, "artificial intelligence," "health management," and "medical information," and the main terms with high connection centrality were "artificial intelligence" and "therapeutic system." The industrialization of nursing is the best solution for developing the healthcare industry and national health promotion. Collaborations in education, research, and policy will help the nursing industry become a healthcare industry of the future. This will prime the enhancement of the national economy and public health.

Patent Landscape of Social Media in Education: A Review

This study aims to identify global trends in intellectual property patents and the patent landscape related to social media in education. Researchers applied a patent landscape analysis using data on 17,471 patent intellectual property documents from the Lens database. The study results show that every year, in general, the number of patents about social media in education is rising. There are entrepreneurial opportunities without paying royalties using 3,623 patent discontinues related to social media in education. Patent intellectual property related to social media in education is dominated by company ownership and inventors from the United States. Patents related to social media in education are dominated by the physics (G) and electricity (H) sections. There are 8,260 simple family social media patents in education in 7 jurisdictions of countries or regions and the highest in the United States.

Innovations in Social Informatic: A Patent Landscape Review

Patent intellectual property in social informatics with entrepreneurship support creates greater opportunities to improve human life. It has the potential to open enormous innovation opportunities in various fields, such as technology, health, services, and society. This research was conducted to review the patent landscape and the main trends of patents on social informatics in all countries. Researchers applied a patent landscape analysis using data on 487 patent documents over 16 years from the Lens.org database. The study results show yearly patented development patterns related to social informatics. There is a royalty-free opportunity by using 15 patent discontinued. Patent related to social informatics was dominated by company ownership and inventors from the United States. The patent physics (G) section overwhelmed patents related to social informatics. There were 334 simple family patents on social informatics in nine jurisdictions; the United States was the highest.

Industry-Academia Collaboration in the Field of Functional Nucleic Acids: An Analysis Based on Papers and Patents

Abstract This investigation delves into the evolving patterns and regional variances in industry-academia collaboration (IAC) within Functional Nucleic Acids (FNAs) research. Analyzing publications and patents from 1990 to 2021, we dissected IAC at individual and collective levels, documenting the count and share of IAC endeavors, key partners, and regional differences. Results indicate a rising trend in IAC publications and collaborating institutions, while patent trends display a mix of increases, decreases, and steady states. The United States leads in IAC activities, correlating with its prowess in scientific research and technological innovation. Notably, regional discrepancies in IAC are mainly due to intra-regional variations, with Asia and Europe experiencing the most pronounced disparities.

The Climate of Innovation: AI’s Growing Influence in Weather Prediction Patents and Its Future Prospects

As the severity of climate change intensifies, understanding and predicting weather patterns have become paramount. Major firms worldwide have recognized this urgency, focusing their innovative efforts on weather prediction. In line with this trend, this research delves into the intricate patterns of patent data within the realm of weather prediction from 2010 to 2023. The study unveils a standard timeline for patent grants in this domain, particularly noting a distinctive peak in grant durations between 1500 and 2000 days. The global landscape of weather prediction innovation is highlighted, pinpointing the United States, China, and Japan as pivotal contributors. A salient finding is the ascendant influence of artificial intelligence (AI) in this sector, underscored by the prevalence of AI-centric keywords such as “machine learning” and “neural network”. This trend exemplifies the ongoing paradigm shift toward data-driven methodologies in weather forecasting. A notable correlation was identified between patent trends and academic trends on platforms such as arXiv, especially concerning keywords such as “machine learning” and “deep learning”. Moreover, our findings indicate that the transformer network, given its rising prominence in deep learning realms, is predicted to be a future keyword trend in weather prediction patents. However, despite its insights, the study also grapples with limitations in its predictive modeling component, which aims at forecasting patent grant durations. Overall, this research offers a comprehensive understanding of the patent dynamics in weather prediction, illuminating the trajectory of technological advancements and the burgeoning role of AI. It holds implications for academia, industry, and policymaking in navigating the future of weather prediction technologies.

Ensuring the technological independence of oil and gas companies using patent analytics on the example of companies producing liquefied natural gas

The article analyzes technological development of the oil and gas industry in Russian Federation under international sanctions, as well as the directions of technology development and equipment production. The article purpose is to identify ways to achieve technological sovereignty in the industry. Patent statistics and construction of patent landscapes is considered as a method of choosing the direction of technological development. The study object is Russian oil and gas companies, while the main attention is paid to companies producing and distributing liquefied natural gas. The study subject is application of patent statistics for identifying trends and directions of technological development of the industry. The study result is determination of industry leaders, and the most promising areas of research in the field of means and methods of liquefied natural gas transportation, methods of its liquefaction or curing, as well as storage equipment. The article draws conclusions about the most promising technologies and patent trends, such as the creation of mobile plants for production of liquefied natural gas , including the construction of its own fleet of gas carriers and floating plants for the gas liquefaction to provide access to the infrastructure of offshore fields. In addition, for rapid development of new markets, the use of floating terminals for regasification is proposed. Approaches to assessing the innovation activity and competitiveness of companies have been considered.