Industry 5.0 is an emerging value-driven manufacturing model in which human–machine interface-oriented intelligent manufacturing is one of the core concepts. Based on the theoretical human–cyber–physical system (HCPS), a reference framework for human–machine collaborative additive manufacturing for Industry 5.0 is proposed. This framework establishes a three-level product–economy–ecology model and explains the basic concept of human–machine collaborative additive manufacturing by considering the intrinsic characteristics and functional evolution of additive manufacturing technology. Key enabling technologies for product development process design are discussed, including the Internet of Things (IoT), artificial intelligence (AI), digital twin (DT) technology, extended reality, and intelligent materials. Additionally, the typical applications of human–machine collaborative additive manufacturing in the product, economic, and ecological layers are discussed, including personalized product design, interactive manufacturing, human–machine interaction (HMI) technology for the process chain, collaborative design, distributed manufacturing, and energy conservation and emission reductions. By developing the theory of the HCPS, for the first time its core concepts, key technologies, and typical scenarios are systematically elaborated to promote the transformation of additive manufacturing towards the Industry 5.0 paradigm of human–machine collaboration and to better meet the personalized needs of users.

The research intends to explore how Artificial Intelligence (AI) and computing technology can be used to create a more immersive and enjoyable experience within the context of a museum visit. Specifically, the study aims to identify ways in which AI and computing technologies can be leveraged to enrich the visitor’s experience, including by providing interactive content, automated personalization, and real-time access to relevant information. Additionally, the research will assess the potential for AI and computing technology to support improved data analytics and utilization of resources within museums, such as enhanced curation, digital preservation, and increased engagement with audiences. The study employed a qualitative methodology, utilizing interviews with museum professionals and surveys of museum visitors to collect data on visitor experiences. An analysis of the data was conducted to identify current and potential uses of AI and computing technology in art museums. The findings reveal that AI and computing technology are currently being used to facilitate access to collections, tour guidance, and educational activities while emerging technologies show promise for providing even more immersive and personalized visitor experiences. The results of this study suggest that AI and computing technology can play an important role in enhancing the visitor’s museum experience. The research provides recommendations for art museums to leverage AI and computing technology to optimize visitor engagement and foster more meaningful connections with works of art.

According to the current situation of deep aging globally, how to provide low-cost and high-quality medical services has become a problem that the whole society needs to consider. To address these challenges, we propose an e-healthcare management system leveraging the integration of the Internet of Things (IoT) and blockchain technologies. Our system aims to provide comprehensive, reliable, and secure one-stop services for patients. Specifically, we introduce a blockchain-based searchable encryption scheme for decentralized storage and real-time updates of electronic health records (EHRs). This approach ensures secure and efficient data traceability across medical equipment, drug supply chains, patient health monitoring, and medical big data management. By improving information processing capabilities, our system aspires to advance the digital transformation of e-healthcare services.

This study focuses on the potential application of Artificial Intelligence (AI) in healthcare and hospitals to improve the quality of services for patients. The research objectives include the investigation of existing AI use cases in healthcare, exploration of potential areas in which AI can best be applied, and identification of the challenges to successful AI application. This research utilizes both primary and secondary data sources to investigate the potential of AI in healthcare and hospitals. The primary data is collected through published research papers, technical reports, and industry news to gain an understanding of the current state of AI applications in healthcare. The secondary data is gathered from expert opinions with experienced healthcare professionals such as physicians, hospital administrators, and IT experts to gain insights into existing use cases and potential applications of AI in healthcare and hospitals. The results of the study demonstrate that AI has a significant potential to deliver enhanced outcomes in various aspects of healthcare and hospitals, including diagnosis, treatment, and management. However, the successful integration of AI requires overcoming numerous challenges such as regulatory standardization, privacy protection, and data availability. To foster a positive development of AI in healthcare, it is recommended that healthcare organizations enhance their digital capabilities, enable secure data sharing and collaboration, and use AI tools to deliver a more comprehensive and personalized patient care experience.

As the Chinese discovered the blue and white porcelain, China recognized as center of porcelain nation. Silk Road played a substantial role in the growth of trade and cooperation. That leads to influences in the culture and expanded throughout the Islamic nations. Porcelain trade especially blue and white was much admired as a Silk Road trade. Chinese porcelain unique design and patterns were reason for the symbolic and aesthetic value of Chinese porcelain in Islamic culture. In this paper, the author investigated how Chinese blue and white porcelain inspired to Islamic porcelain and adaptation of Chinese cultural element in Islamic culture.