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The paper aims to clarify the influence of the equivalent particles number (EPN) change on the flow velocity characteristic.

The paper opted for an exploratory study using PIV technology to obtain the transient flow toxicity vector of oil in the square pipeline.

The paper provides empirical insights about the influence of EPN on the flow average velocity which is most prominent in the middle of the pipeline, and smaller EPN values have a greater impact.

These influence laws of EPN can be used to obtain the dynamic characteristics of oil, which provides theoretical support for oil pollution control and effective treatment measures and lays a preliminary foundation for the online monitoring of particles in oil.

In modern China, sports and nationalism always have close connection, and nationalism is the important reason for the promotion of Chinese sports. However, the relationship between Chinese sports and nationalism in globalised China could be much more examined by academics, as well as its influencing factors. This chapter selects the Beijing 2008 Olympic Games as the context and representative three Chinese sports heroes in the period of globalisation to study. The findings show that in some extent, Beijing 2008 Olympic Games and three Chinese sports heroes represent the national image of China in the globalised world, also bearing the burden of washing away historical humiliation and pursuing national glory. Furthermore, it is manifested that China have a complex nationalism in the process of hosting the 2008 Olympic Games. Under the influence of mass media, market economy and sports professionalisation, nationalism still exists in Chinese sports, but people gradually start to reflect on the ‘Juguo Tizhi’, the traditional Chinese sports system and the concept of ‘winning glory for the nation’. The relationship between Chinese nationalism and sports shows the important implications of rapid Chinese sports development.

This study aims to investigate the predictive role of team personality composition in facilitating shared leadership through team member exchange (TMX), while also to examine the moderating effect of organizational culture.

The authors conducted a two-stage online survey and selected the customer service teams, claims teams and financial teams of 26 Chinese insurance companies as the research samples. The authors finally obtained validated questionnaires from 107 teams with 457 members. The hypothesized relationships were tested using SPSS 25.0 and Mplus.

The results indicate that both team relationship-oriented and task-oriented personality composition have significant positive effects on shared leadership with team-member exchange serving as a full mediator for both paths. As a boundary condition, organizational culture (i.e. including internal integration values and external adaptation values) has a moderating effect on the influence of TMX on shared leadership.

The study investigates the predictive role of team personality composition on shared leadership, which complements the empirical studies of shared leadership antecedents in the literature. Drawing on social exchange perspective, the authors find out that TMX serves as a mediator between team personality composition and shared leadership. The authors also identify the moderating effect of organizational culture on the emergence of shared leadership. The research emphasizes the contextual boundary condition in this process.

A densely distributed network radar system compensates for the disadvantages of sparse radars and poses a significant threat to low-altitude penetration by an unmanned combat aerial vehicle (UCAV). Unlike previous studies, this paper aims to consider radar blind areas and proposes a rapid online method for planning low-altitude penetration paths.

First, the optimization problem coupling digital elevation map (DEM), radar detection probability model and nonholonomic UCAV kinematic model is established. Second, an online solution framework of penetration path planning is constructed. An intervisibility method and map scaling are proposed to generate a detection probability map (DPM). Through completeness and consistency analysis, an adaptive hybrid A* algorithm with fast local replanning strategy is proposed to search a path that takes into account time-consuming, detection probability under nonholonomic constraints. Finally, three scenarios of multiple known, pop-up and vanished static radars are simulated using C++. The computational performance is compared and analyzed.

The results showed that the proposed online method can generate low-detection-probability penetration paths within subseconds.

This paper provides a new online method to plan UCAV penetration trajectory in military and academic contexts.

This study aims to investigate the effect of ESG controversies and their moderating role in ESG performance and the cost of equity and overall, short-term and long-term debt capital relationship in European listed companies.

The study employs two-way fixed effects panel linear regression models on the balanced longitudinal dataset of 231 European non-financial companies listed in the MSCI Europe Index in 2017–2022. To check the robustness, the study utilises the fixed effects logistic regression models with heteroskedasticity-consistent standard errors.

The study reveals the significant effect of ESG performance (negative) and ESG controversies (negative) on the cost of debt capital and the substantial moderating effect of ESG controversies (positive). Additionally, it provides empirical evidence of the crossover moderating effect of ESG controversies in ESG performance and cost of equity relationship.

The findings contribute to corporate practice and empirically support legitimacy and stakeholder theories.

Companies can utilise the results to proactively enhance their internal policies and behaviour to align with ESG practices and avoid ESG controversies, which will translate into reduced equity capital costs for shareholders and a lower cost of debt capital charged by creditors.

To the best of the authors’ knowledge, this is the first study to comprehensively investigate the influence of ESG controversies and their moderating effect in the context of the equity and debt capital cost for European listed companies.

During the late 1900s, there was a notable trend of rapid urbanization worldwide, coinciding with a rise in atmospheric carbon dioxide levels. Agricultural production driven by expanded trade is recognized as a major contributor to global pollution and biodiversity depletion. Additionally, tropical deforestation resulting from agricultural activities significantly impacts global greenhouse gas emissions. This chapter aims to examine the interrelationships between crop production, livestock production, transport services, and CO₂ emissions from 1998 to 2019. To achieve this goal, the study begins by conducting stationary tests to determine the order of integration for the variables under consideration. Following this, panel unit root tests are employed, and subsequently, panel cointegration tests are conducted to identify any long-term relationships among the selected variables. The findings reveal a significant long-term relationship among crop production, livestock production, transport services, and CO₂ emissions.

According to reputation theory, enterprises that adopt a proactive approach to corporate social responsibility (CSR) are known to actively invest in corporate innovation. However, this theory does not fully explain the mechanisms through which CSR influences corporate innovation, nor does it address how to effectively amplify CSR’s positive impact on innovation. To overcome these limitations, this research aims to incorporate the theories of innovation investment and dynamic capabilities. Innovation investment theory elucidates how CSR can attract additional financing, which can be directed toward innovation activities. Meanwhile, dynamic capabilities theory highlights how digital transformation in enterprises can enhance the positive effects of CSR on innovation, providing insights from both theoretical and empirical perspectives.

To demonstrate the mediating role of debt financing costs and the moderating role of enterprise digital transformation in the mechanism of CSR on corporate innovation, this research conducts fixes effects models by collecting 27,912 data points from 3,775A-share China-listed enterprises, ranging in period from 2010 to 2020. Empirical research once again proves that the theories of innovation investment and dynamic capabilities effectively compensates for the shortcomings of reputation theory. These three theories effectively explain that what is the effect of CSR on enterprise innovation? How does CSR influence corporate innovation? And through what mechanisms can CSR better enhance corporate innovation?

According to innovation investment theory, the cost of debt financing mediates the positive relationship between CSR and corporate innovation. This occurs because enterprises with robust CSR practices are more likely to secure external funding, thereby reducing their costs associated with external debt financing. Lower debt financing costs provide a stable source of funds for corporate innovation. Additionally, dynamic capability theory suggests that enterprise digital transformation moderates the positive relationship between CSR and corporate innovation. Building on these insights, it is recommended that enterprises, especially state-owned ones, should prioritize technological innovation to enhance their competitiveness.

This research aims to address and narrow the knowledge gap regarding the relation between CSR and corporate innovation through theoretical and empirical analyses. With respect to the influence mechanism, this research solely based on innovation investment theory and dynamic capabilities theory, focuses on the influence mechanism of CSR on corporate innovation, with the debt financing costs as the mediating variable and digital transformation as the moderating variable. However, the influence mechanism turns out to be complicated and there is room for further exploring numerous mechanisms. For example, future research can focus on identifying additional channels through which CSR exerts an influence on corporate innovation based on TOE theoretical framework.

This research presents several strategies to enhance corporate innovation based on its conclusions: First, enterprises should promptly publish social responsibility reports to build a positive industry reputation. Moreover, by actively participating in CSR activities, they can strengthen their networks and enhance their industry standing. Second, the significant mediating role of debt financing costs should not be ignored. Enterprises are encouraged to seek diverse financing channels to reduce financial pressures, address financing challenges and facilitate the coordinated development of CSR and innovation. Third, enterprise digital transformation significantly affects the impact of CSR on innovation. Therefore, enterprises should advance digital transformation initiatives that incorporate technological innovation, organizational improvements and integration with supply chain partners. Finally, it has been noted that state-owned enterprises are often less responsive to technological innovation than their non-state counterparts. SOEs could redefine the scope and priorities of their social responsibilities to prevent excessive resource consumption that could hinder innovation. For instance, integrating some of their social responsibilities with innovation projects could promote both social and technological innovation objectives. Additionally, the government could ensure fair resource distribution among different types of enterprises and provide an equitable financing platform to mitigate financial challenges for both state-owned and non-state-owned enterprises.

Reputation theory does not fully elucidate the mechanisms by which CSR influences corporate innovation or how to effectively enhance CSR’s positive impact on innovation. This research integrates the theories of innovation investment and dynamic capabilities to address these gaps. According to innovation investment theory, debt financing costs mediate the positive relationship between CSR and corporate innovation. Meanwhile, dynamic capabilities theory posits that enterprise digital transformation moderates this positive relationship, further strengthening the impact of CSR on innovation.

This paper aims to explore the impact of ebullient supervision on thriving at work, and relational social capital to stimulate employee creativity in the hospitality industry.

Using a purposive sampling approach, data were collected from 391 subordinates and their immediate supervisors in the hospitality industry through a structured questionnaire. To analyze the data, partial least structural equation modeling approach was considered.

Results show that ebullient supervision is supportive in generating personal resources of thriving at work and relational social capital, which later shape employee creativity.

The empirical findings of this study provide valuable insights for managers in the hospitality industry for human resource development strategy formulation to stimulate creativity in the hospitality industry.

The findings of this study suggest a novel antecedent of ebullient supervision for stimulating creativity in the hospitality industry. Hence, the paper has implications for researchers, practitioners and students.

This study examines the sequential mediating role of employee organisational commitment (EOC) and innovation on the relationship between budgetary participation and competitive advantage. Data were collected from a mail survey questionnaire of 86 Australian organisations with PROCESS applied to analyse the data. The study's findings make a significant contribution to the budgetary participation and behavioural management literature and practice. Specifically, the study provides a theoretical insight into the role of an important employee behavioural factor, EOC and innovation in mediating the relationship between budgetary participation and competitive advantage. In particular, the findings inform practitioners that budgetary participation influences the EOC of employees and subsequently influence competitive advantage through exploratory innovation.

The aging and deterioration of engineering building structures present significant risks to both life and property. Fiber Bragg grating (FBG) sensors, acclaimed for their outstanding reusability, compact form factor, lightweight construction, heightened sensitivity, immunity to electromagnetic interference and exceptional precision, are increasingly being adopted for structural health monitoring in engineering buildings. This research paper aims to evaluate the current challenges faced by FBG sensors in the engineering building industry. It also anticipates future advancements and trends in their development within this field.

This study centers on five pivotal sectors within the field of structural engineering: bridges, tunnels, pipelines, highways and housing construction. The research delves into the challenges encountered and synthesizes the prospective advancements in each of these areas.

The exceptional performance of FBG sensors provides an ideal solution for comprehensive monitoring of potential structural damages, deformations and settlements in engineering buildings. However, FBG sensors are challenged by issues such as limited monitoring accuracy, underdeveloped packaging techniques, intricate and time-intensive embedding processes, low survival rates and an indeterminate lifespan.

This introduces an entirely novel perspective. Addressing the current limitations of FBG sensors, this paper envisions their future evolution. FBG sensors are anticipated to advance into sophisticated multi-layer fiber optic sensing networks, each layer encompassing numerous channels. Data integration technologies will consolidate the acquired information, while big data analytics will identify intricate correlations within the datasets. Concurrently, the combination of finite element modeling and neural networks will enable a comprehensive simulation of the adaptability and longevity of FBG sensors in their operational environments.