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The purpose of this paper is to develop novel ashless additives and to meet the need for formulating ashless anti‐wear (AW) hydraulic fluid or other industrial lubricating oils. This paper also aims to investigate the tribological behaviours and mechanism of an acrylate of dialkyl dithiophosphoric acid (ADDP), as an additive in some group I/II base oils compared with some traditional s‐p containing AW additives.

ADDP is synthesized in the laboratory. The chemical composition and structure of the lubricating additive are analyzed by means of infrared spectroscopy. Its extreme pressure (EP), AW and friction reduction properties as additive in base oils, compared with some traditional s‐p containing AW additives, are investigated using a four‐ball machine according to relative testing standards. The tribological mechanism is discussed according to the scanning electron microscope (SEM) analytical data.

The results indicate that the four‐ball PB value of the prepared ADDP in HVIWH650 is better than that of the IRGLUBE 353; the thermal stability of ADDP is equivalent to the zinc dialkyl dithiophosphate (ZDDP) and the SEM data show that the prepared ADDP additive could form a layer of uniform film on the worn surface serving as lubricant and protective film. This may be the chief reason why the prepared ADDP possesses better AW property than ZDDP.

However, more experimental studies such as the synergic effect with other additives should be performed, from which it could be learned whether the novel AW additive would be applicable in industrial oils.

The results may be useful for the researchers to formulate some ashless industrial oils.

A novel additive was synthesized in the laboratory; it would find a promising industrial application as an ashless AW additive.

There are three pumping stations in the first stage of Eastern Route S-to-N Water Diversion Project in China, where the mixed-flow pumps with guide vanes are installed, consisting of Baoying, Hongze and the No. 2 Suining pumping stations. By using flow rate coefficient and head coefficient as expression, firstly the hydraulic performances of the hydro models used are analyzed. Secondly the structural features and system performances are compared. And finally the measurement results in site are comprehensively evaluated. The results show that the pump models both introduced abroad and developed at home and the pumping system types adopted in the three pumping stations have been confirmed satisfying the requirements of operational conditions and high efficiency, stable and safety operation in all working conditions can be ensured.

In recent years, the conflict between migrant workers and urban social development has become increasingly serious, which has seriously affected the development of the city. Based on this, taking the urban integration of migrant workers as the core, starting from social capital, it was proposed that housing space, employment and public service were the mian reasons for the difficulty of migrant workers' urban integration. Taking the spatial planning of Shenzhen as an example, the spatial distribution of migrant workers in Shenzhen, the impact of three times urban plannings on the agglomeration of farmers, as well as the planning of affordable housing and its existing problems were studied. The space for migrant workers to integrate into cities was constructed. Through the construction of urbanization, urban and rural development can be integrated. This study has a certain theoretical guiding significance for the integration of migrant workers and urban planning, and can indirectly promote the rapid development of the city..

As a result of awareness of the increasing school accidents in recent years and severe damage to school infrastructure by Typhoon Morakot, this paper seeks to discuss the current natural disaster prevention education strategy in Taiwan and investigates the seriously damaged schools from Typhoon Morakot.

Methods of analysis used in this paper include aerial photo interpretation of landslides and debris flows with the aid of field investigation and spatial rainfall distribution by GIS analysis. Additionally, the reasons attributed to the schools’ damages and disaster prevention education strategies in schools after Morakot are discussed.

After an overall review of the current disaster prevention education programs, the following items are to be stressed in disaster prevention education as a result of studying the effects of Typhoon Morakot: integration of disaster prevention education into formal school curricula; teacher training for campus disaster prevention education; development of a coalition of campus and community‐based disaster management; and study of the impact of climate change and school vulnerability. School infrastructure safety evaluation and risk assessment, education materials and design activities for psychological recovery after disasters, and the connection of school safety management and community‐based disaster prevention are deemed urgent after Typhoon Morakot in Taiwan.

The current achievements of disaster prevention education in Taiwan include the development of operation and support mechanisms, curricula development and experimental schools selection, development of teacher training program, the popularization of disaster prevention education, the development and use of learning materials, and the determination of an effective assessment mechanism. It is expected that disaster prevention education will become part of the formal school curricula. School safety and vulnerability assessments as a result of climate change and student psychological recovery following disasters are urgent lessons to be implemented after learning from the results of Typhoon Morakot in Taiwan.

Unlike traditional industries, the e-cigarette is an epoch-making innovative product originating in China and occupying an absolute competitive advantage in the international market. The traditional A-U model describes the laws and characteristics of technological innovation in developed countries. In contrast, the inverse A-U model depicts the process of “secondary innovation” in late-developing countries through digestion and absorption. This paper aims to find out that if the e-cigarette, as a “first innovation” industry in a late-developing country, conform to the A-U model or conform to the “inverse A-U model”.

This paper takes the patent data of e-cigarettes from 2004 to 2021 as the research object, and uses Python’s Jieba segment words to divide product innovation and process innovation, and then uses statistical analysis methods to conduct empirical analyses on these data.

Thus, an improved A-U model suitable for the e-cigarette industry is proposed. In this model, product innovation in the e-cigarette industry appeared earlier than process innovation, but the synchronous development of product and process innovation is not lagging. The improved A-U model in the e-cigarette industry is not only different from the traditional A-U model but also does not conform to the inverse A-U model.

It is conducive to expanding and clarifying the theoretical contribution and applicable boundaries of the A-U model and has sparked thinking and exploration of the A-U model in e-cigarettes and emerging industries.

On this basis, suggestions on the development path and countermeasures of the e-cigarette industry are put forward.

Based on the e-cigarette industry, this paper takes patents as the research object and provides the method of dividing product innovation and process innovation, and proposes an A-U model suitable for the e-cigarette industry on this basis. By comparing the traditional A-U model with the inverse A-U model in latecomer countries, the background and causes of e-cigarette A-U model heterogeneity are analyzed from different stages and overall morphology. Based on this, the heterogeneity characteristics of e-cigarette innovation are summarized and sorted out.

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.

We aim to determine the subsidy mechanism that can help participants of green supply chain financing (GSCF) maximize their benefits. Then, the optimal subsidy mechanism is designed to promote the development of GSCF.

To better understand the impact of different government subsidy measures on the optimal strategy for GSCF, we treat the motivation of the participants in the supply chain as a cost–benefit decision-making process. Then, a Stackelberg game model is developed that accounts for consumers' green preferences and government subsidies. In addition, the factors influencing supply chain members' earnings are analyzed via computational experiments.

(1) When consumers 2019 green sensitivity reaches a certain threshold relative to that of core enterprises (CEs), the optimal order quantity of these enterprises is greater when the government subsidizes small and medium-sized enterprises (SMEs). Conversely, the optimal order quantity is greater when CEs are subsidized. (2) When the government subsidizes CEs, financial institutions (FIs) and SMEs at the same time, these forms of subsidies have a cumulative effect on the supply chain, and the supply chain and all participants generate the highest earnings.

We analyze the benefits of each participant of GSCF under different government subsidies and then determine the optimal subsidy measures.

Since China’s “opening-up” in the late 1970s, Singapore has played a major role in enhancing China’s engagement with the world, especially in economic terms. This traditional relationship is well manifested in the third government-to-government (G–G) project under the BRI, which is known as the Chongqing Connectivity Initiative (CCI). The purpose of this paper is to address the following question: despite Singapore’s initial reluctance to agree on a third G–G project with China, why did Singapore eventually decide to join the CCI?

This paper draws on archives of over 700 Chinese language media reports and over 400 English language media reports, as well as private interactions with scholars interested in Sino-Singapore relations and with both sides’ officials in charge of the CCI project.

The paper finds that it is the goal of connecting the region, along with the need to maintain Singapore’s relevance to China and the regional economy that led to Singapore’s participation in the third G–G project. This paper also uses this case to analyse the changes that are taking place in the bilateral economic relations.

Despite wide media coverage, op-ed commentaries and respective government statements, there are a limited number of academic studies on the rationale of the third G–G project and contemporary Sino-Singapore relations in the literature. The scholarship has not addressed the rationale for Singapore’s changing attitude towards CCI and the manner in which the CCI has improved cooperation (or upgraded cooperation to a broader and regional level).

Problems such as information asymmetry and a lack of trust among construction practitioners damage the quality and progress of construction projects. The decentralization, transparency, traceability and temper-proof nature of blockchain technology (BCT) can provide solutions and facilitate multiparty cooperation. However, BCT acceptance in the construction industry is relatively low, and there are few pilot projects adopting BCT. Most relevant literature focuses on BCT acceptance at the industry and organizational levels, but the impact of non-managerial practitioners executing BCT or the traditional approach in day-to-day work tends to be disregarded. This study aims to establish a theoretical model of BCT acceptance, identify key influencing factors and paths of behavioral intention to adopt BCT and promote strategies to enhance BCT adoption.

A new BCT acceptance model for construction practitioners was proposed. A survey was performed with 203 construction practitioners in Shenzhen, China and post-survey interviews were conducted with four BCT experts for validation. Covariance-based structural equation modeling was used to examine the influence paths and moderating effect analysis was performed to check practitioners’ differential perceptions.

Performance expectancy, social influence, facilitating conditions and perceived behavioral control significantly and positively influence behavioral intention to accept BCT, while impacts from effort performance and risk are negative. Overcoming obstacles related to the effort required for BCT adoption and effective risk management will be essential to unlocking BCT’s transformative potential. Then, the moderating effects of respondents’ gender, degree and BCT knowledge as well as the project type involved were analyzed. Continued adoption of BCT in the construction industry has the potential to revolutionize project management, transparency and trust among stakeholders.

The findings of this research can help practitioners and government agencies understand crucial influencing factors and pathways of BCT acceptance. Targeted measures, such as increasing practitioners’ benefits and sense of BCT usefulness, conducting pilot projects and increasing publicity, were proposed for project leadership teams to enhance BCT adoption. This may lead to increased efficiency, reduced disputes and more streamlined and secure construction processes, ultimately enhancing the industry’s overall performance.

Few studies have explored BCT acceptance from the perspective of non-managerial construction practitioners. The BCT acceptance model proposed in this study is a novel adaptation of previous technology acceptance models, with new factors (risk and perceived behavioral control) and moderating variables (degree, BCT knowledge and project type) added for better understanding of non-managerial practitioners’ perceptions and differences.

This study reduces carbon emission in logistics distribution to realize the low-carbon site optimization for a cold chain logistics distribution center problem.

This study involves cooling, commodity damage and carbon emissions and establishes the site selection model of low-carbon cold chain logistics distribution center aiming at minimizing total cost, and grey wolf optimization algorithm is used to improve the artificial fish swarm algorithm to solve a cold chain logistics distribution center problem.

The optimization results and stability of the improved algorithm are significantly improved and compared with other intelligent algorithms. The result is confirmed to use the Beijing-Tianjin-Hebei region site selection. This study reduces composite cost of cold chain logistics and reduces damage to environment to provide a new idea for developing cold chain logistics.

This study contributes to propose an optimization model of low-carbon cold chain logistics site by considering various factors affecting cold chain products and converting carbon emissions into costs. Prior studies are lacking to take carbon emissions into account in the logistics process. The main trend of current economic development is low-carbon and the logistics distribution is an energy consumption and high carbon emissions.