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The purpose of this paper is to explore the optic performance of extended stilbene derivative.

Five steps were adopted to synthesise novel 4, 4′-bis (2-cyanostyryl) stilbene, which contained three vinyl units in the skeleton (S3E). The structure of S3E was characterised by ¹H NMR and EI-MS. Its absorption and emission spectra were also given.

Compared to C.I. Fluorescent Brightener 199, which contains two vinyl units in the skeleton, S3E showed obvious bathochromic shifts in both UV-VIS and FL spectra. The maximum absorption wavelength and fluorescent wavelength were at 390 nm and 464 nm, respectively, with Stoke’s shift of 74 nm. The absolute fluorescence quantum yield was 0.42. Thermogravimetric analysis (TGA) revealed that the weight loss of S3E was less than 5 per cent at 300 °C. Moreover, the light resistance test showed that S3E in PVC plate can keep the good fluorescent intensity for more than seven days exposed to xenon light. Therefore, it is believed that S3E could satisfy the requirements of colouring PVC as a fluorescent dye.

S3E can be used as a candidate of fluorescent dye in the development of thermoplastics.

The present paper designed and synthesised a new derivative of stilbene, which showed its preference to be a colourant of thermoplastics.

In the last decades, various building information modeling–life cycle assessment (BIM-LCA) integration approaches have been developed to assess the environmental impact of the built asset. However, there is a lack of consensus on the optimal BIM-LCA integration approach that provides the most accurate and efficient assessment outcomes. To compare and determine their accuracy and efficiency, this study aimed to investigate four typical BIM-LCA integration solutions, namely, conventional, parametric modeling, plug-in and industry foundation classes (IFC)-based integration.

The four integration approaches were developed and applied using the same building project. A quantitative technique for evaluating the accuracy and efficiency of BIM-LCA integration solutions was used. Four indicators for assessing the performance of BIM-LCA integration were (1) validity of LCA results, (2) accuracy of bill-of-quantity (BOQ) extraction, (3) time for developing life cycle inventories (i.e. developing time) and (4) time for calculating LCA results (i.e. calculation time).

The results show that the plug-in-based approach outperforms others in developing and calculation time, while the conventional one could derive the most accuracy in BOQ extraction and result validity. The parametric modeling approach outperforms the IFC-based method regarding BOQ extraction, developing time and calculation time. Despite this, the IFC-based approach produces LCA outcomes with approximately 1% error, proving its validity.

This paper forms one of the first studies that employ a quantitative and objective method to determine the performance of four typical BIM-LCA integration solutions and reveal the trade-offs between the accuracy and efficiency of the integration approaches. The findings provide practical references for LCA practitioners to select appropriate BIM-LCA integration approaches for evaluating the environmental impact of the built asset during the design phase.

This study provides a bibliometric analysis of business literature on the interlinks of fintech, climate risks, and sustainable finance. Fintech growth promotes national environmental efficiency and green finance by decreasing carbon intensity toward the net-zero target. National fintech growth moderates the impact of environmental, social, and governance investment on bank efficiency. Fintech mitigates the loan bankruptcy risk imposed by climate risks with strict mortgage lending decisions due to climate concerns. Fintech applications in banking systems optimize financing costs and increase the accessibility of money for firms, decreasing corporate greenwashing behaviors and promoting green innovation. The existing literature leaves room for future studies on fintech to promote climate finance with important policies for climate action toward Sustainable Development Goals.

Near-surface mounted (NSM) fiber-reinforced polymer (FRP) rod is extensively applied in reinforced concrete (RC) structures. The mechanical performances of NSM FRP-strengthened RC structures depend on the bond behavior between NSM reinforcement and concrete. This behavior is typically studied by performing pull-out tests; however, the failure behavior, which is crucial to the local debonding process, is not yet sufficiently understood.

In this study, a three-dimensional meso-scale finite element method considering the cohesion and adhesion failures is presented to model the debonding failure process in pull-out tests of NSM FRP rod in concrete. The smeared crack model is used to capture the cohesion failures in the adhesive or concrete. The interfacial constitutive model is applied to simulate the adhesion failures on the FRP-adhesive and concrete-adhesive contact interfaces.

The present method is first validated by two simple examples and then applied to a practical NSM FRP system. This work studied in detail the debonding process, the bond failure types, the location of peak bond stress, the transmitting deformation in adhesive and the morphology of contact zone. The developed method provides a practical and convenient tool applicable for further investigations on the debonding mechanism for the NSM FRP rod in concrete.

A three-dimensional meso-scale finite element method considering the cohesion and adhesion failures is presented to model the debonding failure in NSM FRP-strengthened RC structures. The smeared crack model and the interfacial constitutive model are introduced to develop a convenient approach to analyze the failures in adhesive, concrete and related interfaces. The developed numerical method is applicable for studying the debonding process, the bond failure types, the location of peak bond stress, the transmitting deformation in adhesive and the morphology of contact zone in detail.

This paper intends to provide a thematic literature review of the scholarly research articles orbiting the Sino–African education cooperation and exchange, published between 2005 and 2022.

The methodology used in this paper is qualitative in nature with a thematic approach. The author used content analysis techniques to spotlight the major themes of the topic studied. The author selected the papers and theses, based on their heuristic capacity, from two major databases for the English and Chinese literature: Web of Science and CNKI. The selection process resulted in 60 high-quality peer-reviewed articles and theses. Another 30 research articles and theses were used as supplementary resources.

The literature concentrates on six points: the historical development, the nature of the exchange, the frameworks of the cooperation, vocational training and knowledge transfer, African students in China and their experiences, and education cooperation and soft power. However, research tends to be somewhat polemical rather than an academic debate between Chinese researchers and their western peers. Therefore, empirical studies beyond the geopolitical preoccupations and the “YEA” or “NAY” to the Sino–African education exchange are critically needed.

The implications of this study go beyond the east/west or developed/developing world rhetoric and focus more on sustainable educational development on a global scale. Understanding how the literature on the Sino–African education engagement is shaping, provides valuable insights into international education in the global south. It can also be implied to approach educational engagement with other destinations such as India, Türkiye and Brazil.

This thematic literature review concentrates on the educational aspect of Sino–African relations. It compares English and Chinese peer-reviewed scholarly articles and theses on China–Africa educational engagement and has heuristic implications for sustainable educational development globally.

The purpose of this paper is to examine the factors that lead to the controversy within the existing empirical literature on the relationship between land tenure and agricultural investments in China.

This study conducts a meta-regression analysis (MRA) based on 265 samples from 29 selected studies. These studies are collected from different regions and populations; therefore, this study utilizes a random-effects meta-regression model to control between-study heterogeneity.

The empirical results show that the variable “land-related long-term investments” significantly affects the relationship between land tenure and agricultural investments. The variables: “ration land,” “land titling” and “land transfer rights” all have significant effects on this relationship, but at different levels. The study area (e.g. “western China,” “central/inland China,” “two regions contained”), “plot level,” “panel data,” “sample size,” “considered endogeneity” and “off-farm employment” variables all significantly influence the relationship. Additionally, the results show that the relationship is significantly affected by the survey time.

Policymakers should treat the existing research conclusions with caution and pay more attention to defining land tenure. The relationship between land tenure and agricultural investments also depends on regional resource availability. Therefore, land property rights policies should be region-specific in order to successfully encourage agricultural investments.

In this study, the author collectively examines existing empirical studies to investigate whether their inconsistent results are affected by research characteristics. To the author’s knowledge, this is the first study that analyzes land tenure and agricultural investments in China using MRA. Future research should refine the definition of land tenure, the selection of agricultural investment types, the research method and the method of data collection.

Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all modes. A robust transportation resilience is a goal in pursuing transportation sustainability. Under this specified context, while before the perturbations, robustness refers to the degree of the system’s capability of functioning according to its design specifications on integrated modes and routes, redundancy is the degree of duplication of traffic routes and alternative modes to maintain persistency of service in case of perturbations. While after the perturbations, resourcefulness refers to the capacity to identify operational problems in the system, prioritize interventions and mobilize necessary material/ human resources to recover all the routes and modes, rapidity is the speed of complete recovery of all modes and traffic routes in the urban area. These “4R” are the most critical components of urban integrated resilience.

The trends of transportation resilience's connotation, metrics and strategies are summarized from the literature. A framework is introduced on both qualitative characteristics and quantitative metrics of transportation resilience. Using both model-based and mode-free methodologies that measure resilience in attributes, topology and system performance provides a benchmark for evaluating the mechanism of resilience changes during the perturbation. Correspondingly, different pre-perturbation and post-perturbation strategies for enhancing resilience under multi-mode scenarios are reviewed and summarized.

Cyber-physic transportation system (CPS) is a more targeted solution to resilience issues in transportation. A well-designed CPS can be applied to improve transport resilience facing different perturbations. The CPS ensures the independence and integrity of every child element within each functional zone while reacting rapidly.

This paper provides a more comprehensive understanding of transportation resilience in terms of integrated urban transport. The fundamental characteristics and strategies for resilience are summarized and elaborated. As little research has shed light on the resilience concepts in integrated urban transport, the findings from this paper point out the development trend of a resilient transportation system for digital and data-driven management.

The purpose of this paper is to develop a categorization of sharing practices from a structured interdisciplinary literature review on the Sharing Economy. Instead of striving for a new definition, the authors distinguish nine types of sharing practices and provide an overview of prior investigations on sharing practices across three levels of analysis and 15 research areas. The structured analysis is translated into opportunities for future research on the Sharing Economy.

The study follows a structured literature review approach to uncover practices related to the Sharing Economy and similar phenomena. The authors analyze 210 articles from a broad number of disciplines, and develop a categorizing framework for Sharing Economy practices.

The paper identifies nine different types of sharing practices and provides a structured way for analyzing, comparing and positioning research on the Sharing Economy and related phenomena.

The categorization of sharing practices and the embedded interdisciplinary overview of studies on the Sharing Economy help to explain potentially contradictory research results and uncovers opportunities for future research in the topic area.

Given the variety of disciplines dealing with the Sharing Economy and the plenitude of definitions and related concepts, the categorization and research overview provides a consolidated view of the knowledge in the topic area and an effective tool for identifying paths for future research.

A combined approach of additive Holt–Winters, support vector regression, simple moving average and generalized simulated annealing with error correction and optimal parameter selection techniques emphasizing optimal smoothing period in residual adjustment is developed and proposed to predict datasets of container throughput at major ports.

The additive Holt–Winters model describes level, trend and seasonal patterns to provide smoothing values and residuals. In addition, the fitted additive Holt–Winters predicts a future smoothing value. Afterwards, the residual series is improved by using a simple moving average with the optimal period to provide a more obvious and steady series of the residuals. Subsequently, support vector regression formulates a nonlinear complex function with more obvious and steady residuals based on optimal parameters to describe the remaining pattern and predict a future residual value. The generalized simulated annealing searches for the optimal parameters of the proposed model. Finally, the future smoothing value and the future residual value are aggregated to be the future value.

The proposed model is applied to forecast two datasets of major ports in Thailand. The empirical results revealed that the proposed model outperforms all other models based on three accuracy measures for the test datasets. In addition, the proposed model is still superior to all other models with three metrics for the overall datasets of test datasets and additional unseen datasets as well. Consequently, the proposed model can be a useful tool for supporting decision-making on port management at major ports in Thailand.

The proposed model emphasizes smoothing residuals adjustment with optimal moving period based on error correction and optimal parameter selection techniques that is developed and proposed to predict datasets of container throughput at major ports in Thailand.

Despite several attempts to integrate building information modeling (BIM) with building circularity assessment (BCA), no systematic review has yet been carried out on this topic to the best knowledge of the authors. The objective of this review is to fill this gap by reviewing the current attempts, identifying the tools and exploring the state-of-the-art in BIM and BCA.

A systematic literature review (SLR) methodology was employed. A total of 30 documents published between 2015 and 2023 were selected and analyzed across the concept, methodology and value dimensions.

There has been an increase in the development of BIM-based BCA tools in recent years, with the Netherlands taking the lead. Most tools developed were based on the material circularity indicator (MCI) and by using Autodesk Revit as BIM software. Three integration approaches for BIM with BCA were identified: (1) using an external platform; (2) linking an external database to BIM and (3) within the BIM environment. The review has revealed that still there is no standard for BCA, and interoperability and lack of circularity databases are the major challenges.

Although the paper has made contributions, it is important to recognize certain limitations. One of these is the inability to explore all the tools in depth as some of them are not available or accessible. Another limitation is the relatively small number of studies that were reviewed, primarily because there is a lack of research in this area due to the BIM-based BCA is still in its infancy compared to the BIM-based LCA.

This study contributes to providing a comprehensive up-to-date overview of recent advancements in BIM–BCA integration, as well as a framework for understanding its concept, methodology and value dimensions. It also highlights significant areas where practitioners and researchers can identify knowledge gaps and future research directions.