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This study examines education for sustainability (EfS) within the Chinese context, to specifically enrich the understanding on how EfS is structured and implemented to nurture citizenship in the policy practices of universities in Mainland China and Hong Kong.

A cross-case analysis is recruited to examine the commonalities and differences between two universities and identify patterns in cultivating sustainability citizenship within higher education institutions (HEIs) in China. Data were collected through reviewing documents, including two universities’ strategic plans, action plans, department meeting memos, program introductions, course outlines and publicity coverage. Observation was also adopted to enrich the data for analysis, covering meetings, speeches by senior management, university events and informal conversations about university operations.

Citizenship and sustainability in university strategic planning, curriculum and instruction, carriers of EfS institutionalization, and resources and impacts of EfS beyond the institutes were analyzed in a comparative manner, offering valuable insights into how EfS can be institutionalized in different universities based on their unique appeals, existing curriculum and management systems.

By exploring these intra-national distinctions in EfS, the study sheds light on the variation within China's citizenship education, which is traditionally seen as highly unified with limited room for differences. The detailed exploration of university strategies and program/course content enriches the literature of sustainability as an educational phenomenon on an international scale and modernized citizenship education in China.

The purpose of this study is to investigate and understand the performance of countries in individual Olympic Games, specifically focusing on the Tokyo 2020 Olympics. Employing cluster analysis and decision trees, the research aims to categorize countries based on their representation, participation and success.

This research employs a data-driven approach to comprehensively analyze and enhance understanding of countries' performances in individual Olympic Games. The methodology involves a two-stage clustering method and decision tree analysis to categorize countries and identify influential factors shaping their Olympic profiles.

The study, analyzing countries' performances in the Tokyo 2020 Olympics through cluster analysis and decision trees, identified five clusters with consistent profiles. Notably, China, Great Britain, Japan, Russian Olympic Committee and the United States formed a high-performing group, showcasing superior success, representation and participation. The analysis revealed a correlation between higher representation/participation and success in individual Olympic Games. Decision tree insights underscored the significance of population size, GDP per Capita and HALE index, indicating that countries with larger populations, better economic standing and higher health indices tended to perform better.

The study has several limitations that should be considered. Firstly, the findings are based on data exclusively from the Tokyo 2020 Olympics, which may limit the generalizability of the results to other editions.

The research offers practical implications for policymakers, governments and sports organizations seeking to enhance their country's performance in individual Olympic Games.

The research holds significant social implications by contributing insights that extend beyond the realm of sports.

The originality and value of this research lie in its holistic approach to analyzing countries' performances in individual Olympic Games, particularly using a two-stage clustering method and decision tree analysis.

Over the past two decades, the hub location domain has witnessed remarkable growth, yet no prior study reviewed and synthesised problem formulation and solution methodologies to address real-life challenges.

The current study conducts a comprehensive bibliometric literature review to develop a thematic framework that describes and presents hub location problems. The work employs cluster, bibliometric, and social network analyses to delve into the essential themes.

Key themes include cooperation, coopetition, sustainability, reshoring, and dynamic demand, contributing to the complex challenges in today’s hub location problems. As the first work in this field, the study serves as a valuable single-source reference, providing scholars and industry practitioners with key insights into the evolution of hub location research, prominent research clusters, influential authors, leading countries, and crucial keywords.

Findings have significant implications since they highlight the current state of hub location research and set the stage for future endeavours. Specifically, by identifying prominent research clusters, scholars can explore promising directions to push the boundaries of knowledge in this area.

This work is a valuable resource for scholars in this domain and offers practical insights for industry practitioners seeking to understand the hub location problems. Overall, the study’s holistic approach provides a solid foundation for advancing future research work in the hub location field.

Virtual reality (VR) can be used as an alternative mean for viewing collections at home when it is not possible to visit museums due to COVID-19. This study took the development process of VR at Taiwan's National Palace Museum (NPM) as a case to discuss the characteristics of VR developed there in different periods and how NPM transforms the contents of its collections into VR.

This study used a case study to analyze the development process of VR at NPM from 2014 to 2019 and summarized the characteristics of the development and application of VR.

The authors find that the history of VR application in NPM is a process from exploring the technology to gradually getting familiar with the potential of its application. Its development can be divided into the exploration and experiment stage from 2014 to 2015, the single collection interpretation stage in 2016 and the multipurpose application stage from 2017 to 2019. It is suggested that museums should adopt a long-term strategy to introduce VR, make plans carefully and pay attention to the limitations of VR application.

The results of this study are suitable for art and history museums.

Many research studies on the application of VR in museums mostly focused on the benefits and technologies of adopting VR in museums as well as specific museum VR projects. There is still scant literature on the development process of museum VR from the perspective of museum organizations.

This study aims to provide an overview of the regenerative concept and how this can be implemented in adventure travel. It looks into the history of sustainable adventure tourism and showcases best practice examples. This study is encouraging operators within the adventure tourism industry to adopt a regenerative approach.

A comprehensive literature review on the paradigm of regenerative tourism has been conducted and applied to the adventure tourism industry. Three case studies of selected adventure tourism operators have been selected to enforce this concept.

With nature being an essential element of adventure travel, the industry has a long history in terms of sustainability. While tour operators, destination management organisations and other stakeholders are working towards sustainable products, consumers are still convenient and not willing to restrict themselves. The attitude behaviour gap is also noticeable in this segment and a rethinking is necessary. Through the pandemic and the climate crisis, among other aspects, a shift within the tourism industry is inevitable. Adventure tourism can be a role model in this process and good examples from the industry give hope for change. A concept that focuses on the solutions to address the polycrises is regenerative development, which is based on an ecological worldview and a living systems thinking and aims to restore locally visited communities and environments. Numerous operators have already taken measures to help local communities, such as starting projects for nature conservation or encouraging social justice.

This is a conceptual review without an empirical foundation. The best-case examples are based on an Anglo-Western perspective.

To the best of the authors’ knowledge, this study is the first to provide an overview of the current state of research into sustainable adventure tourism and categorise it within the concept of regenerative tourism.

The purpose of this paper is to solve the diverse and complex problems of flat-knitting sports upper process design, improve the design ability of upper organization, and realize three-dimensional simulation function.

Firstly, the matrix is used to establish the corresponding pattern diagram and organizational diagram model, and the relationship between the two is established by color coding as a bridge to completed the transformation of the flat-knitted sports upper process design model. Secondly, the spatial coordinates of the loop type value points are obtained through the establishment of loop mesh model, the index of two-dimensional and three-dimensional models of uppers and the establishment of spatial transformation relationship. Finally, using Visual Studio as a development tool, use the C# language to implement this series of processes.

Digitizing the fabric into a matrix model, combined with matrix transformation, can quickly realize the design of the flat-knitting process. Taking the knitting diagram of the upper process as the starting point, the loop geometry model corresponding to the element information is established, and the three-dimensional simulation effect of the flat-knitted upper based on the loop structure is realized under the premise of ensuring that it can be knitted.

This paper proposes a design and modeling method for flat-knitted uppers. Taking the upper design process and 3D simulation effect as an example, the feasibility of the method is verified, which improves the efficiency of the development of the flat-knitted upper product and lays the foundation for the high-end customization of the flat-knitted upper.

The digitalization of archival management has rapidly developed with the maturation of digital technology. With data's exponential growth, archival resources have transitioned from single modalities, such as text, images, audio and video, to integrated multimodal forms. This paper identifies key trends, gaps and areas of focus in the field. Furthermore, it proposes a theoretical organizational framework based on deep learning to address the challenges of managing archives in the era of big data.

Via a comprehensive systematic literature review, the authors investigate the field of multimodal archive resource organization and the application of deep learning techniques in archive organization. A systematic search and filtering process is conducted to identify relevant articles, which are then summarized, discussed and analyzed to provide a comprehensive understanding of existing literature.

The authors' findings reveal that most research on multimodal archive resources predominantly focuses on aspects related to storage, management and retrieval. Furthermore, the utilization of deep learning techniques in image archive retrieval is increasing, highlighting their potential for enhancing image archive organization practices; however, practical research and implementation remain scarce. The review also underscores gaps in the literature, emphasizing the need for more practical case studies and the application of theoretical concepts in real-world scenarios. In response to these insights, the authors' study proposes an innovative deep learning-based organizational framework. This proposed framework is designed to navigate the complexities inherent in managing multimodal archive resources, representing a significant stride toward more efficient and effective archival practices.

This study comprehensively reviews the existing literature on multimodal archive resources organization. Additionally, a theoretical organizational framework based on deep learning is proposed, offering a novel perspective and solution for further advancements in the field. These insights contribute theoretically and practically, providing valuable knowledge for researchers, practitioners and archivists involved in organizing multimodal archive resources.

This study aims to investigate the everyday life information seeking behavior of transgender people in Pakistan.

A quantitative study, based on a survey design, was conducted to explore the everyday information needs of transgender people along with the types and frequency of using information sources. This study further explored the barriers to seeking everyday life information. Data were collected from 378 transgender people from Pakistan.

Music related information was the most important daily life information need and television appeared as one of the primary information sources frequently consulted by the transgender people. The respondents revealed a variety of challenges in accessing information including lack of education, lack of understanding about available information sources, biased treatment by the public and lack of technological skills. Furthermore, a statistically significant difference was found in everyday information needs and sources consulted on the basis of their age and education.

The findings provide a guideline to educate information providers, government agencies and other stakeholders about the information needs of this marginalized community in Pakistan. This study also suggests ways in which stakeholder may improve information systems and services to better assist transgender people.

Total productive maintenance consists of strategies and procedures that aim to guarantee the entire functioning of machines in a production process so that production is not interrupted and no loss of quality in the final product occurs. Planned maintenance is one of the eight pillars of total productive maintenance, a set of tools considered essential to ensure equipment reliability and availability, reduce unplanned stoppage and increase productivity. This study aims to analyze the influence of statistical reliability on the performance of such a pillar.

In this study, we utilized a multi-method approach to rigorously examine the impact of statistical reliability on the planned maintenance pillar within total productive maintenance. Our methodology combined a detailed statistical analysis of maintenance data with advanced reliability modeling, specifically employing Weibull distribution to analyze failure patterns. Additionally, we integrated qualitative insights gathered through semi-structured interviews with the maintenance team, enhancing the depth of our analysis. The case study, conducted in a fertilizer granulation plant, focused on a critical failure in the granulator pillow block bearing, providing a comprehensive perspective on the practical application of statistical reliability within total productive maintenance; and not presupposing statistical reliability is the solution over more effective methods for the case.

Our findings reveal that the integration of statistical reliability within the planned maintenance pillar significantly enhances predictive maintenance capabilities, leading to more accurate forecasts of equipment failure modes. The Weibull analysis of the granulator pillow block bearing indicated a mean time between failures of 191.3 days, providing support for optimizing maintenance schedules. Moreover, the qualitative insights from the maintenance team highlighted the operational benefits of our approach, such as improved resource allocation and the need for specialized training. These results demonstrate the practical impact of statistical reliability in preventing unplanned downtimes and informing strategic decisions in maintenance planning, thereby emphasizing the importance of your work in the field.

In terms of the originality and practicality of this study, we emphasize the significant findings that underscore the positive influence of using statistical reliability in conjunction with the planned maintenance pillar. This approach can be instrumental in designing and enhancing component preventive maintenance plans. Furthermore, it can effectively manage equipment failure modes and monitor their useful life, providing valuable insights for professionals in total productive maintenance.

This research paper explores the transformative potential of Industry 5.0 for environmental, social and governance (ESG) factors within corporate settings. This study aims to elucidate the role of Industry 5.0 and its related technologies in influencing ESG factors, explore potential risks linked to ESG and present strategies for mitigation through Industry 5.0.

This paper is the literature review that introduces Industry 5.0 as a pivotal factor in implementing and mitigating ESG and its related risks. It outlines Industry 5.0's characteristics, driven by advanced technologies.

Literature reviews suggest that Industry 5.0 has the potential to significantly influence ESG factors within corporate settings. It can promote sustainability, enhance working conditions and offer operational advantages.

The practical implications of this research paper are twofold. First, it provides valuable insights to policymakers, organizations and regulatory bodies, guiding them in adapting their frameworks to embrace Industry 5.0. This adaptation is essential for achieving ESG goals and facilitating sustainable development. Second, it highlights the critical role of Industry 5.0 in mitigating ESG-related risks, offering a robust structure for sustainable development.

This research paper contributes to the existing body of knowledge by highlighting the transformative potential of Industry 5.0 in the context of ESG. It offers a comprehensive exploration of the historical evolution of corporate governance, the integration of sustainability and the growing focus on ESG. It also highlights the originality and value of Industry 5.0 as a critical mitigating factor for ESG-related risks, presenting a holistic approach to sustainable corporate practices.