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In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

This paper aims to fabricate a FeS/Cu-Bi copper-based lead-free bearing material to maintain good friction-reducing and anti-adhesive properties under boundary lubrication conditions.

The materials were fabricated by mechanical alloying and powder metallurgy and tested under dry friction conditions using HDM-20 wear tester.

The results show that mechanical alloying can improve the antifriction and wear resistance of the materials. The 6 per cent FeS and 6 per cent Bi in the copper-based bearing materials fabricated by mechanical alloying have a better synergism which contributes to the friction and wear properties of copper matrix.

This new approach solves the problems of Bi and FeS mutual segmentation, mutual agglomeration and poor interface bonding.

As one of the nearest and most important groups of resource guardians, local teenagers are an important force for current and especially future world heritage protection. Nurturing their awareness of world heritage protection is an important way to achieve the sustainable development of world heritage sites (WHS). The purpose of this paper is to present a case study of local teenagers of Tai’an city in China with the aim of examining how they have developed consciousness of their role as “world heritage guardians.”

Semi-structured interviews are used to examine the awareness of 15 local teenagers on world heritage protection. The interview results are then qualitatively analyzed by using a systematic coding process.

The analysis shows that the formation of the guardianship role is realized through three dimensions: recognition, emotion, and action, which are subjected to role awakening, role identifying, and role strengthening stage by stage. The personal experiences of the interviewees, as well as the impact from surrounding groups both serve to influence the formation of their role as “world heritage guardians.”

The framework constructed in this study on the development of teenagers’ role consciousness cannot only apply to world heritage and environmental contexts in terms of awareness of the need for conservation, but be used toward behavioral studies of other age groups.

The findings can be used as a practical guide for school teachers, government officials, and heritage managers to better carry out educational programs in terms of heritage tourism and sustainable development of WHS for teenagers.

The teenagers’ population is underrepresented in the literature in terms of community involvement with world heritage. This study is meaningful because the focus is on improving local teenagers’ awareness of the value and importance of world heritage and their preservation.

Despite the enhanced popularity of flipped classroom research, there is a lack of empirical evidence reported about the different impacts revealed by the implementation of this concept. Therefore, to respond to this issue, this study aims to review and analyze the trends and contents of flipped classroom research based on 48 studies recently published in 2017 and 2018. The analysis was based on flipped classroom impacts from various fields.

A systematic literature review and content analysis were used as a methodology to investigate positive impacts and challenges of flipped classroom implementation.

The results of the analysis were interpreted using descriptive analysis. Analysis of the impact revealed that the flipped classroom yielded positive impacts on students’ learning activities such as academic performance, learning motivation and/or engagement, social interaction and self-directed learning skills. Meanwhile, the most significant challenges encountered by the instructors is a lack of students’ motivation to watch the pre-recorded video lectures or to study the contents outside of the class time.

Several issues in this discussion become implications that can be taken into consideration for future research. The findings suggest that the flipped classroom concept might be effective in promoting the twenty-first century learning skills.

While highlighting the limitations of an ineffective flipped classroom implementation, this study proposes further recommendations for future research.

The purpose of this paper is to measure the degree of interdisciplinary collaboration in Big Data research based on the co-occurrences of subject categories using Stirling’s diversity index and specialization index.

Interdisciplinarity was measured utilizing the descriptive statistics of disciplines, network indicators showing relationships between disciplines and within individual disciplines, interdisciplinary communities, Stirling’s diversity index and specialization index, and a strategic diagram revealing the development status and trends of discipline communities.

Comprehensively considering all results, the degree of interdisciplinarity of Big Data research is increasing over time, particularly, after 2013. There is a high level of interdisciplinarity in Big Data research involving a large number of disciplines, but it is unbalanced in distribution. The interdisciplinary collaborations are not intensive on the whole; most disciplines are aggregated into a few distinct communities with computer science, business and economics, mathematics, and biotechnology and applied microbiology as the core. Four major discipline communities in Big Data research represent different directions with different development statuses and trends. Community 1, with computer science as the core, is the most mature and central to the whole interdisciplinary network. Accounting for all network indicators, computer science, engineering, business and economics, social sciences, and mathematics are the most important disciplines in Big Data research.

This study deepens our understanding of the degree and trend of interdisciplinary collaboration in Big Data research through a longitudinal study and quantitative measures based on two indexes. It has practical implications to study and reveal the interdisciplinary phenomenon and characteristics of related developments of a specific research area, or to conduct comparative studies between different research areas.

This paper aims to investigate how ball milling (BM) and load influence transfer film on counterbody and the correlation between transfer film and tribological properties of copper-based composites.

The copper-based mixed powders preprocessed by BM for different times were used to manufacture sintered materials. Specimens were tested by a custom pin-on-flat linear reciprocating tribometer and characterized prior and after tests by optical microscope, scanning electron microscope and energy-dispersive spectroscopy. Image J® and Taylor-hobson-6 surface roughness meter were used to quantify the coverage and thickness of the transfer film.

Main results show that an appropriate amount of BM time and applied load can contribute to the formation of the transfer film on counterbody and effectively improve the tribological properties of the copper-based material. The transfer film coverage is linearly related to the friction coefficient, thickness of transfer film and wear volume. As the transfer film coverage increases, the coefficient of friction decreases. As the thickness of the transfer film increases, the amount of wear increases.

This work intends to control and optimize the formation of transfer film, thereby helping improve the tribological properties of materials and providing a reference to guide the preparation of Cu-based composites with excellent tribological properties.

The purpose of this paper is to reveal the structure and patterns of cross-national collaborations in Big Data research through application of various social network analysis and geographical visualization methods.

The sample includes articles containing Big Data research, covering all years, in the Web of Science Core Collection as of December 2015. First, co-occurrence data representing collaborations among nations were extracted from author affiliations. Second, the descriptive statistics, network indicators of collaborations, and research communities were calculated. Third, topological network maps, geographical maps integrated with topological network projections, and proportional maps were produced for visualization.

The results show that the scope of international collaborations in Big Data research is broad, but the distribution among nations is unbalanced and fragmented. The USA, China, and the UK were identified as the major contributors to this research area. Five research communities are identified, led by the USA, China, Italy, South Korea, and Brazil. Collaborations within each community vary, reflecting different levels of research development. The visualizations show that nations advance in Big Data research are centralized in North America, Europe, and Asia-Pacific.

This study applied various informetric methods and tools to reveal the collaboration structure and patterns among nations in Big Data research. Visualized maps help shed new light on global research efforts.

Monolithic precast concrete frame structures have been promoted and developed in recent years. Owing to material deterioration and a weaker structural integrity, monolithic precast concrete frame structures may suffer from insufficient seismic capacity as service time increases. A typical joint of monolithic precast concrete frame structure is studied in this paper. The purpose of this paper is to perform numerical modeling of the typical joint subjected to low cyclic load at different ages and analyze the hysteretic behavior reduction with ages under common atmosphere environment.

Existing un-carbonated concrete, carbonated concrete and corroded rebar are all considered as deterioration factors for the typical joint, whose constitutive models are introduced into the finite element model to study. Moreover, time-dependent constitutive model of existing un-carbonated concrete and mechanical model of bond between precast and cast-in-place concrete are established on the basis of existing experimental data. Then, finite element method is used to investigate the seismic property reduction of the typical joint, where nonlinear springs are set to simulate bonding between precast and cast-in-place concrete.

Analyzing the results, the reduction of reaction force from skeleton curves of the joint is significant in the first 30 years of service time, and slows down after 30 years. Besides, the ductility, secant stiffness and equivalent viscous damping coefficient of the typical joint remain almost unchanged in the first decade, but decrease obviously after 10 years.

The originality of the paper consists in the following. The time-dependent constitutive model of existing un-carbonated concrete is established and used in finite element method. Besides, bonding between precast and cast-in-place concrete is considered using nonlinear springs. There is a reference value for the seismic performance assessment of existing monolithic precast concrete frame structures.

China and the United States represent the two largest greenhouse gas emitters in the world. Studies on how US companies react to the natural environment are plentiful and show that stakeholders are one of the key drivers for green decisions. However, we have limited understanding of the stakeholder pressure faced by firms in China. Drawing on stakeholder theory, this study builds from in-depth interviews with 32 businesses in China. We show that government, customers, employees, suppliers, investors, and community are stakeholders most mentioned. Interestingly, findings also seem to suggest that the perceived pressures of non-profit organizations (NGOs) differ by the form of ownership. Multinational firms often view NGOs as allies, while Chinese firms downplay them as powerless and unimportant. Although stakeholders are seen as both threat and opportunity, two-thirds of those surveyed in this study focused on opportunity as opposed to threat.

The Korea Institute of Science and Technology Information (KISTI) Electronic Theses and Dissertations (ETD) system is a national digital library of ETDs in South Korea. Provides a comprehensive picture of how this system has been used during its first two years in service since June 1999. The system transaction logs were collected and analysed to reveal the usage patterns of the system. Results of the study indicate that the KISTI ETD system usage has seen a significant increase since its second year. While most users appear to be domestic users, the system also attracts users from many other countries, suggesting that the KISTI ETD system has become a part of the international networked digital library of theses and dissertations. It was also found that there are a very large number of one‐time visitors to the KISTI ETD system. Nevertheless, the system began to maintain a frequent user group in its second year in service. The usage statistics regarding system features and the characteristics of users’ visits indicated that the search function was by far the most frequently used system function. Finally, discusses the implications of the findings.