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Promoting low-carbon in the construction industry is important for achieving the overall low-carbon goals. Public–private partnership is very popular in public infrastructure projects. However, different perceptions of low-carbon and behaviors of public and private sectors can hinder the realization of low-carbon in these projects. In order to analyze the willingness of each stakeholder to cooperate towards low-carbon goals, an evolutionary game model is constructed.

An evolutionary game model that considers the opportunistic behavior of the participants is developed. The evolutionary stable strategies (ESSs) under different scenarios are examined, and the factors that influence the willingness to cooperate between the government and private investors are investigated.

The results illustrate that a well-designed system of profit distribution and subsidies can enhance collaboration. Excessive subsidies have negative impact on cooperation between the two sides, because these two sides can weaken income distribution and lead to the free-riding behavior of the government. Under the situation of two ESSs, there is also an optimal revenue distribution coefficient that maximizes the probability of cooperation. With the introduction of supervision and punishment mechanism, the opportunistic behavior of private investors is effectively constrained.

An evolutionary game model is developed to explore the cooperation between the public sector and the private sector in the field of low-carbon construction. Based on the analysis of the model, this paper summarizes the conditions and strategies that can enable the two sectors to cooperate.

The purpose of this paper is to investigate how mentors affect the career satisfaction of protégés. Drawing from the Elaboration Likelihood Model (ELM), the authors propose a dual processing model that considers both cognition and emotion in the relationship between mentoring and the career satisfaction of protégés.

The study employed a three-stage questionnaire survey to collect data from employees in Chinese enterprises, resulting in a total of 329 valid responses.

The results showed that mentoring had a significant positive impact on protégé career satisfaction. Additionally, role clarity and positive affect of protégés played dual-mediating effects between mentoring and protégé career satisfaction. Moreover, as a non-mentoring behavior, mentor advice-seeking behavior strengthened the positive impact of mentoring on role clarity and positive affect.

In the study, the authors utilize the ELM as a new perspective to construct a dual-mediating model of protégé role clarity and positive affect to illuminate the mechanism of mentoring on protégé career satisfaction, advancing the literatures of mentoring relationship and career development. Further, the authors put forward the moderating effect of mentor advice-seeking behavior by considering it as a non-mentoring behavior of mentors to deepen the understanding of mentorships. Moreover, the authors attempt to propose the long-term cumulative effect of the dual processing to expand the application of the ELM in interpersonal processes.

Unconventional machining processes, particularly ultrasonic vibration cutting (UVC), can overcome such technical bottlenecks. However, the precise mechanism through which UVC affects the in-service functional performance of advanced aerospace materials remains obscure. This limits their industrial application and requires a deeper understanding.

The surface integrity and in-service functional performance of advanced aerospace materials are important guarantees for safety and stability in the aerospace industry. For advanced aerospace materials, which are difficult-to-machine, conventional machining processes cannot meet the requirements of high in-service functional performance owing to rapid tool wear, low processing efficiency and high cutting forces and temperatures in the cutting area during machining.

To address this literature gap, this study is focused on the quantitative evaluation of the in-service functional performance (fatigue performance, wear resistance and corrosion resistance) of advanced aerospace materials. First, the characteristics and usage background of advanced aerospace materials are elaborated in detail. Second, the improved effect of UVC on in-service functional performance is summarized. We have also explored the unique advantages of UVC during the processing of advanced aerospace materials. Finally, in response to some of the limitations of UVC, future development directions are proposed, including improvements in ultrasound systems, upgrades in ultrasound processing objects and theoretical breakthroughs in in-service functional performance.

This study provides insights into the optimization of machining processes to improve the in-service functional performance of advanced aviation materials, particularly the use of UVC and its unique process advantages.

The purpose of this paper is to determine (1) the relationship between microstructure and fatigue cracking behavior and (2) effect of rolling on the process of crack initiation and propagation in FeCrAl alloys.

The qualitative and quantitative fracture studies were performed using scanning electron microscopy and the non-contact optical measurement system (IFMG5).

The results show that the formation of facets, rough facets and parallel stripes in the crack initiation and early crack propagation zones are closely related to the sensitivity of crack behavior to the microstructure of the material. Besides, the rolling process has a significant influence on the small crack initiation and propagation behavior. Quantitative analysis demonstrates that the size of the stress intensity factor and plastic zone size in the rough zone is associated with the rolling process.

The findings of this study have the potential to enhance the understanding of the microstructural crack formation mechanisms in FeCrAl alloys and shed light on the impact of rolling on the long-term and ultra-long fatigue behavior of these alloys. This new knowledge is vital for improving manufacturing processes and ensuring the safety and reliability of FeCrAl alloys used in nuclear industry applications.

Social engineering is crucial in today’s digital landscape. As technology advances, malicious individuals exploit human judgment and trust. This study explores how age, education and occupation affect individuals’ awareness, skills and perceptions of social engineering.

A quantitative research approach was used to survey a diverse demographic of Egyptian society. The survey was conducted in February 2023, and the participants were sourced from various Egyptian social media pages covering different topics. The collected data was analyzed using descriptive and inferential statistics, including independent samples t-test and ANOVA, to compare awareness and skills across different groups.

The study revealed that younger individuals and those with higher education tend to research social engineering more frequently. Males display a higher level of awareness but score lower in terms of social and psychological consequences as well as types of attacks when compared to females. The type of attack cannot be predicted based on age. Higher education is linked to greater awareness and ability to defend against attacks. Different occupations have varying levels of awareness, skills, and psychosocial consequences. The study emphasizes the importance of increasing awareness, education and implementing cybersecurity measures.

This study’s originality lies in its focus on diverse Egyptian demographics, innovative recruitment via social media, comprehensive exploration of variables, statistical rigor, practical insights for cybersecurity education and diversity in educational and occupational backgrounds.

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.

The purpose of the paper is to evaluate the essential role of corporate social responsibility (CSR) on SMEs' performance by exploring the mediating role of corporate image (CI), corporate reputation (CR) and customer loyalty (CL) between CSR and firm performance (FP) in the context of an emerging country.

Based on an extended literature review on CSR, CI, CR and CL studies, the authors evaluate the impact of these four constructs on SMEs' performance in an emerging market. The paper follows a quantitative approach. The study sample was composed of 482 responses covering top executives, managers and experts. The Smart PLS SEM version 3.3.2 was used to analyse the data of the small- and medium-sized enterprises (SMEs) of Vietnam in the year 2020–2021.

The authors' findings reveal significant and positive relationships amongst CSR, FP, CSR and CI, CSR and CR, CSR and CL, and most importantly, the findings add value to the current knowledge by exploring the mediating effect of CI, CR and CL between CSR and FP.

The study was conducted in Vietnam. As a result, the findings of the study might not be applicable for other countries, if the economic and environmental settings are different from that of Vietnam. Therefore, future research should consider for other countries, other regions. Second, due to the purpose and priority of the study, CI, CR, and CL was employed as mediators amongst the relationship between CSR and FP. Thus, future research should consider other mediators or moderators in such a relationship to see how CSR generates outcomes in the new associations.

The study regarding the role of CSR in enhancing the performance of SMEs can motivate firm's chief executive officers (CEOs) to be proactive in getting involved and practising CSR in a consistent manner. Second, the above discussion draws a very important implication for the executive level, the management level of the enterprise, which enterprises should balance the interests of business, customers, other stakeholders, the environment and society in order to optimise CSR outcomes for improving competitiveness and developing sustainably. This implication is particularly important to the survival and development of SMEs in a challenging emerging economy.

The study widens the literature regarding relationship between CSR and SMEs' performance. Besides, the study supports stakeholder theory that explains why CSR positively affects firm's performance. The significant mediating roles of CI, CR and CL were positively confirmed in the study. Although previous studies determined that such roles are strategic source of competitive advantages of enterprises, however, how CSR involved in enhancing the roles has not been deeply explored and integrated. Third, the findings of the study support the resource-based view (RBV) and resource-based perspective that explains why firm should engage in CSR activities, and CI, CR and CL can enhance firm's performance by providing strategic source of competitive advantages that facilitate business to improve its performance in sustainable direction.

To the best of the authors' knowledge, the current literature on CSR and FP shows that, to date, there has been little empirical research on the mediating mechanism of CI, CR and CL in the link between CSR and FP for SMEs. The findings of the study may have great implications for entrepreneurs and top management with respect to the strategic perspectives to drive the businesses and to improve firm's performance in a sustainable direction in the context of emerging markets. In addition, the finding might be of great interest to – and motivate – SMEs' managers to engage with CSR actions where such businesses were or are situated during and after the coronavirus disease-2019 (COVID-19) pandemic. By that understanding, the Government might allow for innovative and groundbreaking policies or the reformation of old policies to leverage businesses to promote their strengths towards sustainable development in the new economic settings. The findings of the study may be a significant contribution to SMEs in Vietnam and in other emerging economies.

This paper aims to propose a machine learning approach-based power theft detection using Garra Rufa Fish (GRF) optimization. Here, the analyzing of power theft is an important part to reduce the financial loss and protect the electricity from fraudulent users.

In this section, a new method is implemented to reduce the power theft in transmission lines and utility grids. The detection of power theft using smart meter with reliable manner can be achieved by the help of GRF algorithm.

The loss of power due to non-technical loss is small by using this proposed algorithm. It provides some benefits like increased predicting capacity, less complexity, high speed and high reliable output. The result is analyzed using MATLAB/Simulink platform. The result is compared with an existing method. According to the comparison result, the proposed method provides the good performance than existing method.

The proposed method gives good results of comparison than those of the other techniques and has an ability to overcome the associated problems.

Cross operation is a common operation method in the building construction process nowadays. Due to the crossover, each other's operations are disturbed, and risks also interact. This superimposed relationship of risks is worthy of attention. The study aims to develop a model for analyzing cross-working risks. This model can quantify the correlation of various risk factors.

The concept of cross operation and the cross types involved are clarified. The risk factors were extracted from cross-operation accidents. The association rule mining (ARM) was used to analyze the results of various cross-types accidents. With the help of visualization tools, the intensity distribution and correlation path of the relationship between each factor were obtained. A complete cross-operation risk analysis model was established.

The application of ARM method proves that there are obvious risk correlation deviations in different types of cross operations. A high-frequency risk common to all cross operations is on-site safety inspection and process supervision, but the subsequent problems are different. Cutting off the high-lift risk chain timely according to the results obtained by ARM can reduce or eliminate the danger of high-frequency risk factors.

This is the first systematic analysis of cross-work risk in the construction. The study determined the priority of risk management. The results contribute to targeted cross-work control to reduce accidents caused by cross-work.