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In response to the problem of insufficient traction/braking adhesion force caused by the existence of the third-body medium on the rail surface, this study aims to analyze the utilization of wheel-rail adhesion coefficient under different medium conditions and propose relevant measures for reasonable and optimized utilization of adhesion to ensure the traction/braking performance and operation safety of trains.

Based on the PLS-160 wheel-rail adhesion simulation test rig, the study investigates the variation patterns of maximum utilized adhesion characteristics on the rail surface under different conditions of small creepage and large slip. Through statistical analysis of multiple sets of experimental data, the statistical distribution patterns of maximum utilized adhesion on the rail surface are obtained, and a method for analyzing wheel-rail adhesion redundancy based on normal distribution is proposed. The study analyzes the utilization of traction/braking adhesion, as well as adhesion redundancy, for different medium under small creepage and large slip conditions. Based on these findings, relevant measures for the reasonable and optimized utilization of adhesion are derived.

When the third-body medium exists on the rail surface, the train should adopt the low-level service braking to avoid the braking skidding by extending the braking distance. Compared with the current adhesion control strategy of small creepage, adopting appropriate strategies to control the train’s adhesion coefficient near the second peak point of the adhesion coefficient-slip ratio curve in large slip can effectively improve the traction/braking adhesion redundancy and the upper limit of adhesion utilization, thereby ensuring the traction/braking performance and operation safety of the train.

Most existing studies focus on the wheel-rail adhesion coefficient values and variation patterns under different medium conditions, without considering whether the rail surface with different medium can provide sufficient traction/braking utilized adhesion coefficient for the train. Therefore, there is a risk of traction overspeeding/braking skidding. This study analyzes whether the rail surface with different medium can provide sufficient traction/braking utilized adhesion coefficient for the train and whether there is redundancy. Based on these findings, relevant measures for the reasonable and optimized utilization of adhesion are derived to further ensure operation safety of the train.

The purpose of this study is to investigate the adhesion characteristics of the wheel–rail under water and large sliding conditions. This is carried out by conducting a series of tests on a full-scale roller rig. The measured data provides an experimental base for conducting further theoretical research.

The influence of the slip ratio, rolling speed and the axle load on the adhesion coefficient between the wheel and the rail is analyzed under wet conditions using a full-scale roller rig.

From the research, it is found that the adhesion coefficient–slip ratio curve varies from the traditional theoretical description under water and large sliding conditions. Moreover, it is also observed that after the adhesion coefficient reaches the saturation point, the adhesion coefficient does not decrease, but continues to increase as the slip ratio increases.

The adhesion improvement phenomenon in this paper may provide new ideas for designing anti-skid control and braking system mechanisms for trains.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0236/

To authenticate the existence and principles of the adhesion recovery phenomenon under water pollution conditions, an innovative circumferential rail–wheel adhesion test rig was used. The study conducted extensive tests on the adhesion characteristics under large sliding conditions.

Experiments were conducted to investigate the influence of speed, axle load and slip on adhesion recovery. Based on the experimental results, the adhesion recovery transition function was re-fitted.

The study reveals that the adhesion recovery phenomenon truly exists under water conditions. The adhesion coefficient shows an increasing trend with the growth of the slip ratio. Moreover, at the current speed and axle load levels, the adhesion recovery is directly proportional to the square of the slip ratio and inversely proportional to the axle load.

The phenomenon of adhesion recovery and the formulated equations in this study can serve as an experimental and theoretical foundation for the design of braking and anti-skid control algorithms for trains.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2023-0379/

The significance of physician-user interaction has been widely acknowledged in offline and online healthcare consultation. However, limited attempts have been made to explore the influence of physician-user interaction on users' perceived service quality (PSQ) in the mobile context. Based on the literature on physician-user interaction and media synchronicity theory, this study proposes a theoretical model where the interactive factors common across the offline, online and mobile context, i.e. physicians' informational support and emotional support, the interactive factors unique in the mobile context, i.e. physicians' response speed and voice service, and the interaction between the two categories of interactive factors predict users' PSQ in mobile consultation.

This study collects consultation records between 25,225 users and 738 physicians from a leading Chinese mobile consultation application, and employs linear regression to verify the proposed theoretical model.

Physicians' informational, emotional support, response speed and voice service are found to have significant positive impacts on users' PSQ. Besides, physicians' response speed strengthens the positive impacts of physicians' informational and emotional support on users' PSQ, while physicians' voice service weakens the positive link between physicians' informational support on users' PSQ.

This study contributes to the antecedents for users' PSQ in mobile consultation by identifying unique interactive factors in the mobile context, and highlighting the individual and interaction effects of different physician-user interactive factors. Besides, this study employs novel methods, which leverages text classification and text pattern recognition to more accurately depict physicians' online behaviors based on objective communication records.

This paper aims to build an improved grey panel clustering evaluation model and evaluate the comprehensive development potential of industrial economy, society and ecological environment in the Yangtze River Economic Belt of China. The purpose of this study is to provide some theoretical basis and tool support for management departments and relevant researchers engaged in industrial sustainable development.

This study uses the driving force pressure state impact response analysis framework to build a comprehensive evaluation index system. Based on the center point triangle whitening weight function, it classifies the panel grey clustering of improvement time and index weight.

The results show that there are great differences in the level of industrial ecological development in different regions of the Yangtze River Economic Belt, which further illustrates the scientificity and rationality of the evaluation method proposed in this paper.

Due to the industrial ecological development is in a constantly changing state, and the information is uncertain. Whitening weight function is introduced to represent the complete information of relevant data. The industrial ecological evaluation involves a comprehensive complex system, which belongs to the panel data analysis problem. The improved grey panel clustering evaluation model is applied to grade the industrial ecological development level of the Yangtze River Economic Belt. The results have important guiding significance for the balanced development of industrial ecology in the region.

Due to the industrial ecological development is in a constantly changing state, and the information is uncertain. Whitening weight function is introduced to represent the complete information of relevant data. The industrial ecological evaluation involves a comprehensive complex system, which belongs to the panel data analysis problem. In order to improve the effectiveness of industrial ecological evaluation, the improved grey panel clustering evaluation model is applied to grade the industrial ecological development level of the Yangtze River Economic Belt. The results have important guiding significance for the balanced development of industrial ecology in the region.

the new model proposed in this paper complements and improves the grey clustering analysis theory of panel data, that is, aiming at the subjective limitation of using time degree to determine time weight in panel grey clustering, a comprehensive theoretical method for determining time weight is creatively proposed. Combining the DPSIR (Driving force-Pressure-State-Influence-Response) model model with ecological development, a comprehensive evaluation model is constructed to make the evaluation results more authentic and comprehensive.

The purpose of the paper is to sought to know the implication of COVID-19 lockdown for food security in Nigeria

The study examined implication of COVID-19 lockdown for food security. The cross sectional survey research design was employed. Information was elicited from respondents through the social medium (Facebook). The question response format of the instrument was of the five-point Likert scale type. Research data were analysed using one sample t-test and least squares (regression).

The results show that COVID-19 lockdown can significantly constrain farm labour, transportation and security, while food security can be threatened by insufficient labour, transportation, farmers' morale and farm coordination

A major limitation was the restriction to only online data collection method owing to the researcher's inability to administer the instrument physically as a result of the lockdown. This had an implication on randomisation.

Long stay of people at home and away from farm activities will threaten food security on the long run and thus, precipitate social vices due to the attendant hunger and deprivation

In empirical examination of the impact of COVID-19 pandemic lockdown on food security, thereby providing statistical evidence that will be useful in the sensitisation of stakeholders on the need to thread on the part of caution to avoid the possible consequences of restricting farmers' operations through the COVID-19 lockdown.

Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.

Online trust is a key factor for successful online transactions. To some extent, online health consultation can be considered an online transaction. Owing to the unique physician–patient relationship, patients' choice of physicians within an online health consultation setting may not only be based on rational judgments but also considerably affected by their feelings. Hence, the purpose of this study was to explore which physicians' attributes affect patients' cognitive and affective trust in physicians, as well as how these two variables and their association affect patients' willingness to choose.

Based on the broad conceptual framework of online trust, this paper proposed a set of hypotheses that were tested through analyzing survey data using structural equation modeling techniques.

Results showed that physicians' ability had a significant positive influence on patients' cognitive trust in the physician; physicians' integrity and benevolence had a significant positive influence on patients' affective trust in the physician; cognitive and affective trust had a significant positive impact on patients' willingness to choose and there were significant positive interactions between affective and cognitive trust.

This study theoretically enriches the generic model of online trust. From the practical perspective, it will provide physicians working in online health consultation platforms and relevant practitioners with baseline information on the topic and advice for decision-making toward service enhancement and clientele improvements.

The study has practical implications for decision-makers in that increasing board competence and expertise through training on environmental issues will promote green policy-making.

This study included 655 firm-year observations from companies listed on the Indonesia Stock Exchange between 2017 and 2021. Panel data regression analysis is used to investigate the hypotheses. Additionally, a robustness test is conducted to validate the consistency of the primary test results.

The results demonstrate that green theme training from the board of directors, board of commissioners and independent commissioners has a positive and significant impact on the implementation of green innovation at each level of the board. This result is aligned with the robustness test performed.

This study is restricted by the fact that the only data sources used to examine the board’s green training are publication reports and other reports that disclose the board’s training activities. Therefore, future research can be done by considering other methods, such as surveys to trace green training followed by the board. Additional research may also examine green theme training in the corporate governance structure from a different theoretical angle, such as agency theory and human capital theory.

In practice, the study has implications for decision-makers in that increasing board competence and expertise through training on environmental issues will be able to promote green policy-making.

This study concentrates on Indonesia with two-board governance characteristics: the board of directors and the board of commissioners. Several scholars have examined the board of directors in light of resource dependence theory. To the best of the authors’ knowledge, no research has explained the supervisory board within the context of two-board governance. In addition, the authors have not found research that analyzes board training activities related to the environment.