Global Technological Development Research Articles

The Current Situation and Trend of Sino-US Trade Development in the Context of Economic Globalization

The evolution of trade and commercial relations between China and the US is particularly noteworthy, given the significant impact of economic globalization and its role as a fundamental pillar of global economic stability and progress. The trade volume between China and the US is steadily increasing, and this is happening at the same time as the trade structure is changing significantly. The process of commerce between China and the US is not without its difficulties, though, as seen by the US's gradual growth in trade protectionism, the frequency of trade disputes, and the imbalance in trade relations. This paper provides an in-depth analysis of the dynamic evolution trend of China-US trade in the context of economic globalization and discusses the current status and challenges of China-US trade relations, as well as the future trend based on global economic, political, and technological development trends. In addition, the paper forecasts how China-US trade relations will develop in the future in light of new technological advancements, policy adjustments, and shifts in the global economic landscape. It also offers policy recommendations and strategic adjustment guidelines to encourage collaboration between the two sides and produce win-win outcomes.

A Review of Research Progress in Carbon Monitoring and Carbon Metering Methods: Comparison at Home and Abroad

Carbon monitoring and carbon measurement are not only important foundations for realizing the marketization of carbon trading, but also a key link in realizing China’s strategic “dual carbon” goal. The aim of this research is to comprehensively summarize and compare carbon monitoring and carbon metering technologies, as well as to analyze their current status and challenges. This study adopts literature research, comparative analysis, case analysis, policy interpretation, and other methods to comprehensively and deeply explore the relevant content of carbon monitoring and carbon metering technology. An in-depth exploration of relevant methods, standards, and applications provides a reference for promoting the sustainable development of global carbon monitoring and carbon metering technologies. By summarizing the difficulties of carbon monitoring and the characteristics of existing technologies, as well as comparing carbon measurement methods and the relevant measurement standards, this paper focuses on the difficulty of carbon monitoring, which lies in the credibility and accuracy of the data, where remote sensing technology possesses higher applicability. The principles of carbon measurement methods mainly include direct underlying data measurements, indirect measurements through statistical modelling, and market mechanism measurements. The relevance and precision of carbon measurement methods have been gradually strengthened as the measurement standards have been developed and implemented. Finally, future development directions and relevant suggestions will be described in detail and put forward in combination with the application of carbon monitoring and carbon measurement. Among them, blockchain technology is considered to be one potential area for future development, and data standardization will play an important role in the development of carbon monitoring and measurement technology. We recommended establishing and perfecting data-sharing mechanisms in future policies to improve the accuracy and credibility of data.

Preface

With the rapid development of global science and technology and industry, intelligence, automation and informationization have become an irreversible trend in all walks of life. This trend not only promotes the innovation and application of technology, but also puts forward unprecedented challenges and demands for precision measurement and control technology. It is against this backdrop that the 2024 4th International Conference on Measurement Control and Instrumentation (MCAI 2024) was convened, bringing together leading experts, scholars, and researchers from across the globe to share their latest insights and groundbreaking achievements. Held in Guangzhou, China from August 23rd to 25th, 2024, this prestigious event served as a pivotal platform for interdisciplinary discussions and collaborations. The MCAI conference series has a rich history of fostering intellectual exchange and promoting scientific advancements in the field. Building upon the success of its previous conferences, MCAI 2024 was created to expand the horizons of knowledge by addressing a broad spectrum of topics, including but not limited to Testing Instrument Design, Intelligent Instrumentation, Precision Manufacturing and Measurement, Welding Technology and Equipment, Electrical Control Technology, Automatic Control System, Information Detection and Processing Technology, etc. The conference attracted a diverse array of participants from around the world, reflecting the multidisciplinary nature of modern-day research in these domains and the internationalization of the conference. Moreover, a variety of programs were established, including opening ceremony, keynote speech, oral presentation, poster presentation, academic discussion, etc. Experts and scholars from different research areas including Professor Zhen Li of South China Agricultural University, China, Vice Chairman of the Professional Committee of Agricultural Mechanization and Electrification of China Agricultural Engineering Society and Member of the Youth Working Committee of China Agricultural Machinery Society, Professor Xue Li of Jinan University, China, and Professor Shifeng Guo of Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China shared their research experiences and professional insights with us on specific topics. The oral presentations characterized a large number of academic contributions from scholars in their respective research fields around the world. Moreover, the poster sessions allowed the attendees to further showcase their researches and view others’ findings, exchanging ideas and thoughts with each other. List of Committee Member is available in this Pdf.

Research on the Operation Status and Development Strategy of Wechat Public Account

With the continuous development and progress of global science and technology, the demand of users is increasing, and Wechat, as an important information exchange platform, plays an indispensable role in daily communication and communication. The Wechat public account, one of its main functions, plays a major advantage in disseminating information and providing facilitation services. However, how to create a fair public account environment so that each content production subject achieves satisfactory communication effects needs to be further studied. This paper studies the operation status and development strategy of Wechat public accounts. By searching and reading relevant materials and literature, it comprehensively analyzes the content production characteristics of different types of Wechat public accounts and finds that the development of science and technology and the needs of users are the main factors that promote the rapid development of Wechat public accounts. It is characterized by diversity of content and subject, fragmentation of content production, low publicity cost and high communication efficiency, accurate positioning of users, and secondary transmission. However, there are still many problems in the operation of Wechat public accounts, such as insufficient attention from content producers, homogeneity and vulgar content, irregular time of content release, fan conversion rate, and insufficient user loyalty. Content producers can win better communication effects by releasing high-quality content, enhancing user loyalty, expanding the dissemination scope by secondary communication, and using Wechat public accounts for product marketing in multiple ways.

Transformative Impact of Convolutional Neural Networks on Healthcare, Autonomous Systems, and Global Technological Advancements

Convolutional Neural Networks (CNNs) have significantly impacted various industries by enabling machines to process visual data with unprecedented accuracy. This paper explores the transformative effects of CNNs on key sectors such as healthcare, autonomous systems, security, and environmental monitoring. In healthcare, CNNs are used in medical imaging for early diagnosis and treatment planning, enhancing telemedicine capabilities. In autonomous systems, CNNs enable real-time object detection and navigation, contributing to the development of safer, more efficient vehicles. In security, CNNs power facial recognition systems, raising both opportunities and ethical concerns regarding privacy and surveillance. Environmental monitoring benefits from CNNs through climate change research and wildlife conservation efforts, where they analyze vast amounts of data for critical insights. The paper also addresses the challenges posed by CNNs, including data privacy, security, and algorithmic bias, emphasizing the need for ethical standards and regulatory frameworks. Future advancements in CNN architectures and their integration with other AI models are expected to expand their applicability further and improve performance across different domains. This analysis underscores the dual importance of technological progress and ethical considerations to ensure that the benefits of CNNs are equitably distributed, contributing positively to global technological development and societal well-being.

Exploration and Practice of Mechanical Engineering Talent Cultivation Model in the Context of Multidisciplinary Integration

In the context of rapid global technological development, the cultivation of mechanical engineering talents faces severe challenges. Traditional cultivation models, with relatively single-discipline content, are inadequate in meeting the modern industrial demands for interdisciplinary skills and innovative capabilities. To address this challenge, this study, based on the concept of multidisciplinary integration, deeply analyzes the limitations of the existing mechanical engineering talent cultivation model and proposes innovative strategies for curriculum systems, teaching content, teaching methods, and evaluation systems. Furthermore, it explores interdisciplinary integration and application in practical teaching. The results of the study show that multidisciplinary integration can significantly enhance the overall quality and innovative capabilities of mechanical engineering students, providing strong support for cultivating mechanical engineering talents in the new era.

Policy Text AI Mining Study —— A Comparative Analysis Based on U.S., U.K., and Chinese Policies

Artificial Intelligence (AI) has become a key strategic area to enhance national competitiveness globally. We adopts a textual analysis methodology, based on the three-dimensional framework of policy tools and the LDA thematic model, to conduct a systematic analysis and comparative study of the AI policy texts of the United States, the United Kingdom, and China. The study aims to reveal the policy stance, strategic planning, and challenges and opportunities faced by the three countries in the field of AI. Through the analysis, the study identifies the major themes in the policy texts of each country and maps them to the three dimensions of supply, demand, and environment of policy tools. The study finds that the US AI policy focuses on international cooperation, fair civil rights, and innovation ecology; the UK emphasizes ethical governance and legal regulation; and China highlights innovation-driven and smart economy development. In addition, all three countries emphasize building a stable, predictable and innovation-supportive policy environment. The study puts forward a series of comprehensive recommendations, including strengthening international cooperation, balancing innovation and regulation, optimizing a supportive innovation ecosystem, improving the legal system, focusing on talent cultivation, and building an AI innovation alliance. These recommendations aim to promote the healthy development of global AI technologies and maximize their positive contributions to the economy and society.

Preface

With the rapid development of science and technology, computer, remote sensing technology and aerospace science have increasingly become the focus of attention of academia and industry. Since the first International Conference on Computer, Remote Sensing and Aerospace (CRSA) was held, the conference has become an important platform for scholars in related fields to exchange ideas and share results. The 2024 4th International Conference on Computer, Remote Sensing and Aerospace (CRSA 2024) continues the high-level academic tradition of the previous three conferences, and was held virtually in Osaka, Japan from July 5th to 7th, 2024. The conference aimed to promote the cross-fertilization between computer science, remote sensing technology and aerospace science, to promote technological innovation and industrial upgrading, and to contribute wisdom and strength to the global scientific and technological development. It called for papers on such topics as High-Performance Computing, Computer Aided Design, Robotics and Automation, Geographic Information Science, Satellite Navigation and Positioning, Optical Remote Sensing, Aeroelasticity and Structural Dynamics, Manned / Unmanned Aviation, etc. The conference attracted the active participation of experts, scholars, engineers and industrial elites from all over the world, and the latest research results and technological advances in relevant field were demonstrated through thematic reports, oral and poster presentations. The thematic speeches covered the problems, challenges, solutions, and future research directions of computer science, remote sensing technology and aerospace science, and provided participants with comprehensive and in-depth understanding and insight, stimulating thinking and innovation. Scholars who participated in oral and poster presentations had in-depth exchanges with other participants, sharing experiences and insights, and jointly exploring cutting-edge issues in relevant disciplines and domains. In addition, we have carefully selected and prepared a collection of Proceedings based on this conference, which represents a bunch of excellent papers, covering the latest research achievements and innovative ideas in related fields. We hope that this Proceedings will be an important reference for the academic community, providing researchers with opportunities for in-depth research, and will also inject new vitality and impetus into the development and innovation in the fields of and related to computer science, remote sensing technology and aerospace science. At the same time, we also hope that scholar and researchers will continue to uphold the spirit of science and the courage to explore unknown areas, contributing to the prosperity and progress of mankind. Finally, we would like to express our sincere thanks to all for their support and participation in the conference. We believe that through the exchange and cooperation of this conference, we will jointly create a new future in the fields of computer science, remote sensing technology and aerospace science. We also believe that the publication of this Proceedings will make a positive contribution to the development of the academic community and the progress of aerospace industry! The Committee of CRSA 2024 List of Committee Member is available in this Pdf.

Развитие космической отрасли: опыт США, Китая и России

In recent decades, space has begun to be viewed as an important economic resource, an engine of global competition and technological development, capable of having a multiplier effect on the development of the entire economic system of a country. It is a necessary factor in global communication and information. Each state can use space for peaceful purposes, since it is a common resource for all countries. That is why the space industry is the object of the careful study by many researchers and a special sphere of government regulation. The top three leaders in the space industry are the USA, China and Russia. The purpose of this article is to conduct a comparative analysis of the development of the space industry in the USA, China and Russia, as well as to develop recommendations for improving the regulation of the Russian space industry based on foreign experience. The author selected the following characteristics as the main parameters of comparison: 1. Significant space achievements, 2. Industry financing, 3. Structure of the space industry, 4. The scale of private space sector development, 5. Motives for international cooperation in the field of space exploration. Based on the analysis, the features of space industry development in each country were identifi ed. Special attention in the study is paid to the Russian space industry. In particular, it was found that the main structural feature of the Russian space industry, in contrast to the USA and China, is the significant predominance of state-owned companies over private enterprises. This is associated with the lack of the necessary regulatory framework in our country and, as a consequence, the underdevelopment of the market for space products and services. At the same time, Russia can be considered a leader in terms of funding for the space industry (as a percentage of GDP), but in absolute financial indicators (in millions of dollars) Russia lags significantly behind the United States and China. In addition, Russia adheres to the practice of participating in international cooperation in the space sector, based primarily on political factors rather than economic motives, which fundamentally distinguishes its approach from the approach used by the United States. The article proposes a number of practical recommendations, the implementation of which, according to the author’s opinion, will contribute to increasing the efficiency of space activities in Russia.

Есть ли профессиональное будущее в индустриальном секторе? Взгляд уральских школьников (по результатам социологического исследования)

Education organizations need to reconceptualize their career guidance activities in the context of global digitalization and technological development. The current changes on the labor market make it necessary to study schoolchildren’s ideas about industrial jobs. Professional preferences of school students usually depend on their age and reflect new success models, i.e., the so-called fluid life trajectories. This research featured the attitudes of school students to industrial professions with their attractiveness and unattractiveness in terms of future career plans. The online survey covered 7628 students of 9th and 11th grades, a semi-formalized expert interview with young employees under 35 (n = 204) and a focus group of ten young employees of Kalinin Machine-Building Plant, Yekaterinburg. Theschool students based their career attitudes on the following assumptions. First, they lacked awareness of scientific and technological development in engineering and, as a result, considered this profession unpopular. Second, they did not perceive factory professions as prestigious because of the Soviet model of a factory worker as a servant to the factory.The unattractive features of a factory-related job were described as unhealthy, difficult, with no career prospects, and monotonous. The only attractive feature was stability. Engineering received a more favorable description, i.e., promising, diverse, well-paid, and challenging. The concept of a factory worker was shaped by the experience of parents: 50% of school students had very outdated knowledge of industrial production.

Blockchain Traceability Process for Hairy Crab Based on Cuckoo Filter

With the rapid development of global information technology, smart agriculture has gradually become an important force to promote agricultural modernisation. Taking Yangcheng Lake hairy crabs as the research object, this paper constructs a full-chain traceability process for hairy crabs integrating blockchain and Internet of Things technology in response to the demand for the enhancement of its brand value and market competitiveness. The model covers all aspects of breeding, processing, and transport to sales; realises end-to-end transparent regulation; effectively guarantees the authenticity and non-tamperability of information; and enhances consumers’ trust in the brand. At the technical level, this paper designs the ECMI (Enhanced Cuckoo Merkle Index) model, optimises the data storage and retrieval mechanism, and experimentally verifies the advantages of cuckoo filters over traditional Bloom filters in reducing false positives and improving query efficiency. This paper not only provides an efficient and safe traceability solution for the hairy crab industry in Yangcheng Lake but also provides technical support and practical cases for the further application of blockchain technology in smart agriculture, which is of great value for the realisation of the national rural revitalisation strategy.

Technology-push, demand-pull and spillover from the major market demand: The case of the United States wind power market

This study aims to examine the technology-push and demand-pull hypotheses developed for a wind power industry. The wind power industry plays an important role in society as an emerging sustainable technology with strong social supports. Using patents as a proxy for a technology-push factor and the United States wind power net generation as a proxy for a demand-pull factor from 2001 to 2018, this study shows that the technology development in the major market (e.g., United States) drives its domestic market demand, whereas the domestic market demand in the major market does not drive its domestic technology development. However, the global technology development drives the major market demand and the major market demand drives the global technology development bilaterally. These results enable us to infer a spillover effect from the major market demand, indicating global players benefit from the major market demand largely created by social and government supports in major market. These findings highlight the implications for policy makers pursing both environmental and industrial policy goals and for firm managers attempting to enhance competitiveness in the wind power market.

1980 SONRASI ÇAĞDAŞ TÜRK SANATINDA DİSİPLİNLERARASILIK VE DİSİPLİNLERAŞIRILIK

The coup of 1980 in Turkey was considered a negative impact of effective and long-term changes. Everything, including the historical process, political, economic, social and cultural phenomena, as well as street and art concepts, has been shaped before and after the 80s. The first half of the 80s became a period for Turkish art when works were published and bought and sold as commodities. After 1980, there was a major break in the field of visual arts, both in reviewing the subjects discussed and in the forms of creation. Artists who worked on the distribution of arbitrary border lines between political, economic, social or cultural products until the 80s gained a freer understanding of art in the 80s. With these understandings, after the 1990s, Turkish artists have signed practices that are open to diversity in art and are increasingly appreciated as interdisciplinary and interdisciplinary. This diversity has been provided with opportunities in the interdisciplinary and interdisciplinary period in which the art environment has been cultivated along social and cultural mobility such as global production, freedom, technological developments and international markets. Expanding the interdisciplinary and extreme expressions of disciplines within the scope of the research and examining the selected examples in a more comprehensive manner, revealing the results that Bitcoin has created in the last period and afterwards. Keywords: Turkish Art, Interdisciplinary, Transdisciplinary

Analyzing key health factors influencing life expectancy using machine learning

With the rapid development of global medical technology and the steady improvement of social living standards, life expectancy per capita has become one of the most important indicators of a country or region's level of development. It not only reflects the quality of life and health of the local people, but also profoundly affects the economic growth and social stability of the country. In underdeveloped countries, life expectancy at birth is generally lower than in more developed countries due to resource constraints and poor medical facilities. This phenomenon has triggered extensive research interest in whether there is some correlation between life expectancy per capita and economic growth, and how improving life expectancy can contribute to a country's economic transformation and development. The purpose of this paper is to explore the impact of life expectancy per capita on economic growth and how to promote the economic transformation and development of countries by increasing life expectancy. Through a comparative study of Asian countries such as China, Singapore and Japan, this paper analyzes the impact of different factors on life expectancy through technical methods such as visual analysis, hypothesis testing, regression modeling, and decision tree modeling, and explores how these factors play a role in economic growth. The results of this study may have some guiding significance for improving life expectancy.

Analysis of Ecuador's Higher Education processes

The Higher Education system in Ecuador has undergone significant transformations in recent years, driven by certain political reforms, the factors that have affected it are the use of advanced technologies and a focus on inclusion and diversity. This article analyzes these changes and their impact on the country's educational institutions. It is based on the Organic Law of Higher Education (LOES) of 2010 which has been crucial to improve the quality and accessibility of education, resulting in a 20% increase in university enrollment. In addition, universities are adapting their academic programs and curriculum designs to align with the needs of the labor market, collaborating closely with industry to develop relevant skills. The incorporation of online learning platforms, accelerated by the COVID-19 pandemic, has allowed for greater flexibility and accessibility, adopting hybrid models that combine face-to-face and online learning. Inclusion and diversity policies have been effective in increasing the representation of underrepresented groups, although challenges related to inequality and funding persist. Emphasis on research and collaboration with international institutions is positioning Ecuadorian universities in the global academic arena, fostering scientific and technological development. These efforts, together with the adoption of educational technologies and inclusive policies, indicate that the higher education system in Ecuador is undergoing a significant transformation process, preparing to face future challenges with a solid foundation in reform, inclusion, and technology.

Preface

In this era of rapid development of global science and technology, artificial intelligence and industrial technology are converging at an unprecedented speed, driving social progress and industrial upgrading. In order to deeply discuss the latest development in these two and relevant fields, share research results, and promote academic exchanges and cooperation, we are honored to have organized the 2024 4th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA 2024). This proceedings is the crystallization of this event, which brings together the wisdom and insights of experts, scholars, engineers and technicians from all over the world. AIITA 2024 was grandly held in Guangzhou, China from April 12th to 14th, 2024 via hybrid form, attracting over 200 participants from all over the world. The conference aimed to provide a platform for experts and scholars, engineers and technicians, researchers and developers in the fields of artificial intelligence and industrial engineering to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, and strengthen academic research and discussion. During the conference, the participants had an in-depth discussion on a number of topics related to the application of artificial intelligence and industrial technology, and jointly explored the new direction of future development. In the keynote speech part, latest research results and cutting-edge technologies in related fields including Graph Neural Networks: Models and Applications in Pattern Recognition (by Prof. Bo Jiang, Anhui University, China), Distributed GPU-accelerated Evolutionary Computation (by Dr. Ran Cheng, Southern University of Science and Technology, China), Quantum Model Learning (by Prof. Daowen Qiu, Sun Yat-sen University, China), Face Image Editing from the Perspective of Conditional Generative (by Prof. Si Wu, South China University of Technology, China), Cooperative Global Robust Output Regulation for Nonlinear Multi-Agent Systems with Switching Networks (by Prof. Wei Liu, South China University of Technology, China) were discussed. At the same time, we have set up a number of presentations and panel discussion sessions, in which participants gained more opportunities to have in-depth discussions and exchanges on specific issues. This conference calls for papers on a wide range of topics, covering all aspects of artificial intelligence and industrial technology applications. We received hundreds of submissions from all over the world, and after strict evaluation and screening, we finally included some excellent papers in this proceedings. These papers not only have high academic value and practical significance, but also represent the latest research dynamics and trends in the fields of artificial intelligence and industrial technology applications. Finally, we would like to thank all the experts, scholars, engineers and staff who participated in the AIITA 2024 for their support and contribution. We believe that with the joint efforts of all of us, the research and application in the fields of artificial intelligence and industrial technology applications will achieve more brilliant achievements. The Committee of AIITA 2024 List of Committee Member is available in this Pdf.

The Future Development Prospects of Xiaomi Corporation: Based on Financial Analysis and Comparison

With the rapid development of technology, the smartphone industry is experiencing unprecedented changes. Xiaomi, a leading company in this field, has attracted widespread attention for its unique business strategies and promising future prospects. This paper aims to conduct an in-depth study of Xiaomi's strategic choices and explore the potential challenges and opportunities it may face in the future. This research is not only significant for understanding the competitive landscape of the smartphone industry, but also provides valuable practical cases for the academic field. This paper adopts financial analysis, environmental analysis, and SWOT analysis to comprehensively analyze Xiaomi's strategies, aiming to provide new perspectives and insights for relevant academic research and business practices. In the SWOT analysis, the salient strengths in its internal environment lie in the integrity of the ecological chain and high cost-effectiveness. However, the prominent weaknesses in the internal environment are the need to enhance technological proficiency. In terms of external environment, the main opportunities it faces are the global technological development and the advancement of 5G and the Internet of Things (IoT). External threats primarily stem from its competitors. In financial analysis, Xiaomi's primary concern is to enhance its profitability and operational efficiency. Through this research, this paper hopes to provide valuable references for Xiaomi's future development and contribute new marginal value to the academic field.

Triggering A Renaissance in Historical Textual Studies in Turcology: Text Encoding Initiative (TEI) and the Initial Standardised Ottoman Mathematics Text

This article seeks to answer a critical question about the impact of digital transformation, which global technological and digital developments have made a necessity, on historical textual studies in Turcology. The article draws attention to the need for digital transformation in historical textual studies and the lack of literature on the use of TEI in Turcology. The research considers historical textual studies as an object of digital cultural heritage, digital humanities, and digital scholarship. It is evaluated through the Text Encoding Initiative (TEI) standard. The aim is to establish a symbiotic relationship between historical textual studies and the Text Encoding Initiative (TEI) and offer a new perspective on the latest digital environment for studying Turkish manuscripts and the future of this research. It also explains how manuscripts (especially in the Ottoman field) should be encoded at TEI to enable interdisciplinary cooperation in digital editions. A case study of an 18th-century Ottoman mathematical text was encoded in TEI, and the process is explained in detail for those working in Turcology and those who want to do text editions with this method. The article's results are shared with the reader by presenting a Github link. These results constitute a new source for the international literature on digital encoding of historical texts and set standards for digital text editions to be used in historical text studies in Turcology. In this way, it aims to trigger a renaissance promoting the use of TEI in historical textual studies and to take the first step towards its eventual transformation into a renewed field of research.

Impact of Digital Industrialization on High-quality Economic Development

Against the background of rapid development of global information technology, digital industrialization has become an important path to promote high-quality economic development. Based on the panel data of 30 provinces in China from 2012 to 2020, this paper constructs the digital industrialization index and the index of high-quality economic development, and adopts the two-way fixed effect model to study the impact of digital industrialization on high-quality economic development and sort out the impact mechanism. The results show that digital industrialization not only directly promotes the high-quality development of regional economy, but also further promotes the high-quality development of economy through the indirect effect of industrial upgrading. The improvement of human capital level and the increase of financial investment in research significantly enhance the promotion effect of digital industrialization on high-quality economic development. The heterogeneity results indicate that the enhancement of economic quality development by digital industrialization is only significant in the northern region, the region with higher economic level and higher investment in education.

A hydrophobic graft-modified PVA hydrogel by michael addition joint with gelation strategy for underwater cardiac sensing

The rapid development of global big health and AI technology has made electrocardiogram (ECG) monitoring in all scenarios more important. While real-time ECG monitoring in the air is easy to realize, underwater ECG monitoring is still challenging for general hydrogels. Herein, we prepared a hydrogel with underwater viscosity, biocompatibility, and excellent mechanical properties by hydrophobic graft-modified of PVA (POV) hydrogel and used it to prepare electrodes for underwater ECG monitoring. The POV hydrogel is very flexible and co-deforms easily with the skin, with a Young's modulus as low as 0.03 MPa and underwater adhesion strength up to 11 KPa. The hydrophobic chain segments within the POV hydrogel give the hydrophobic gel excellent stability, adhesion, and ionic conductivity given by the free ionic groups within the POV hydrogel enable the POV hydrogel to detect and transmit physiological electrical signals. Compared to commercial gel electrodes, this POV electrode has better adhesion, conductivity and stability underwater. The POV gel electrodes can effectively collect real-time ECG signals in the air and underwater. Therefore, this study effectively broaden the application of POV hydrogels in ECG biosensors for underwater cardiac sensing.