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The purpose of this paper is to investigate the influence of sprue distributions on the flow field and temperature field of the cladding casting process and verify the simulation results by experiments.

A steady-state mathematic model for the coupling of fluid flow, heat transfer and solidification to describe the process of cladding casting was present. The effect of sprue distributions on melt flow and temperature field was discussed. Based on the numerical simulation results, the cladding billet was prepared successfully. Moreover, the model has been verified against by temperature measurements during the cladding casting process.

There is a good agreement between the measured and calculated results. The homogeneity of melt flow determines the formability of cladding billets and circular temperature difference affects the bonding of the two alloys. The AA4045/AA3003 cladding billet with no defects in size of f140/f110 mm was fabricated successfully. The alloy elements diffused across the interface and formed diffusion layer with a thickness of 15 µm. The interface bonding strength is higher than the tensile strength of AA3003, indicating the metallurgical bonding between two alloys.

The casting parameters are limited to the aluminum alloy cladding billet in size of f140/f110 mm in this paper.

There are few reports of cladding billet, which are used to prepare condense pipes of automotive engines. The effect of distribution schemes on the cladding casting process is rarely studied.

Smart community construction (SCC) and efficiency require resident participation. This paper aims to explore the determinants of residents’ participation intention (RPI) in the SCC.

Based on the theory of planned behavior (TPB), this study proposed an extended conceptual model to deeply analyze the RPI in the SCC. The relationship between all constructs was verified by processing and analyzing online survey data using confirmatory factor analysis (CFA), structural equation model (SEM), and bootstrapping method.

Participation attitude, perceived behavioral control, subjective norm, and perceived usefulness significantly and positively affected the RPI. Furthermore, intermediary effects in the extended conceptual model had been confirmed.

To fill the critical gap in the research on the determinants of the RPI in the SCC context, this study developed a novel conceptual model by extending the TPB to analyze the effects of self-driven and externally-driven factors on the RPI from the perspectives of residents’ psychology and external environment. The findings not only clarify the complex process of forming the RPI in the SCC but also provide a theoretical foundation for studying the RPI in similar community construction projects. Additionally, several strategies have been proposed to encourage residents’ participation in the SCC and promote the development of smart communities, such as clarifying residents’ participation obligations, improving the convenience services of smart communities, and diversifying residents’ participation approaches.

This paper aims to examine the strategic role of world-class universities and the international academic profession in the regionalisation project of China’s Greater Bay Area (GBA). It illustrates the way in which the case of the GBA regionalisation project offers a potentially rich empirical example for adding contextual understanding to the literature of the Triple Helix model, which largely draws on inductive theorising from western successful innovation cases. The GBA regionalisation processes will provide a wealth of empirical cases for identifying circumstances that address tensions and increase interactions in the Triple Helix relationship of university, government and industry for fostering knowledge synergies.

Focusing on the case of Hong Kong, it engages in policy and stakeholder analysis and addresses three key research questions: What are the competitive advantages and potential strategic role of Hong Kong's universities and academic profession in the regionalisation of innovation systems in the GBA? What is the role of the governments in the regionalisation processes? What are the expected opportunities and challenges offered by the GBA policy initiatives for the future development of Hong Kong’s universities and academic profession?

Hong Kong, given its status as an international finance centre and global city with intense internationalisation and established judicial system operated by the rule of law, will contribute to the GBA development by leveraging on its edge in scientific research and development and international networks of academic research through the world-class academic profession. Scientists and researchers in the city, possessing the competitive advantages of basic research and international partnerships, are highly regarded by the central government. The engagement of Hong Kong’s scientific talents, can play an important role in achieving China’s aspiration of becoming a global technology power.

Analysis of this article implies that the GBA concept is currently China’s ambitious but vague economic plan. The opportunities in which key node cities and knowledge/ innovation clusters will capture and capitalise from the regional ‘co-opetitive” ’entrepreneurial ecosystem are still unclear. The future of the GBA regionalisation is so dynamic and open-ended that grounded concepts related to the governance innovation/ discourse of ‘one country two systems’ and social connectedness and capitalisation with Chinese characteristics will help in making sense of the contextualisation of a Chinese regional innovation system and enhancing the sophistication of reconceptualisation of the Triple Helix model.

This article will add to the literature some novel contextualised knowledge about the GBA’s potential triple-helix relationship between government-university-industry in the 21st century. The empirical example of China’s GBA will also shed light on a new understanding of the role of international social capital in the entrepreneurial knowledge economy, dynamics between basic and applied research, and a synergistic interface between regionalisation and national innovation system.

Integrating the Chat Generative Pre-Trained Transformer-type (ChatGPT-type) model with government services has great development prospects. Applying this model improves service efficiency but has certain risks, thus having a dual impact on the public. For a responsible and democratic government, it is necessary to fully understand the factors influencing public acceptance and their causal relationships to truly encourage the public to accept and use government ChatGPT-type services.

This study used the Latent Dirichlet allocation (LDA) model to analyze comment texts and summarize 15 factors that affect public acceptance. Multiple-related matrices were established using the grey decision-making trial and evaluation laboratory (grey-DEMATEL) method to reveal causal relationships among factors. From the two opposite extraction rules of result priority and cause priority, the authors obtained an antagonistic topological model with comprehensive influence values using the total adversarial interpretive structure model (TAISM).

Fifteen factors were categorized in terms of cause and effect, and the antagonistic topological model with comprehensive influence values was also analyzed. The analysis showed that perceived risk, trust and meeting demand were the three most critical factors of public acceptance. Meanwhile, perceived risk and trust directly affected public acceptance and were affected by other factors. Supervision and accountability had the highest driving power and acted as the causal factor to influence other factors.

This study identified the factors affecting public acceptance of integrating the ChatGPT-type model with government services. It analyzed the relationship between the factors to provide a reference for decision-makers. This study introduced TAISM to form the LDA-grey-DEMATEL-TAISM method to provide an analytical paradigm for studying similar influencing factors.

This paper, with the tobacco industry as the background, establishes an indicator system for tobacco supply chain performance evaluation using the FAHP method.

Based on the relevant data of tobacco enterprises in Guangxi, the paper calculates the performance values of tobacco companies in various cities of Guangxi, and through the analysis of each indicator and the performance values of each city, the authors find that the improvement ability has a major impact on tobacco supply chain performance. Then, the paper establishes a system dynamics model to further demonstrate the impact of information digitalization on the performance of the tobacco supply chain in Guangxi, thus providing theoretical support for building digital tobacco logistics in Guangxi.

The findings of the study show that the performance of the tobacco supply chains in various cities of Guangxi is generally at the level of “Pass–Good,” which can barely meet the requirements of tobacco supply chain operation, but there is still plenty of room for improvement.

The authors show that digital and IT-based empowerment can maximize the performance of Guangxi's tobacco logistics performance.