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To solve the problem that the underwater vehicles is difficult to turn and exit in a small range in the face of complex marine environment such as concave and ring under the limitation of its limitation of its shape and maximum steering angle, this paper aims to propose an improved ant colony algorithm based on trap filling strategy and energy consumption constraint strategy.

Firstly, on the basis of searching the global path, the disturbed terrain was pre-filled in the complex marine environments. Based on the energy constraint strategy, the ant colony algorithm was improved to make the search path of the underwater vehicle meet the requirements of the lowest energy consumption and the shortest path in the complex obstacle environment.

The simulation results showed that the modified grid environment diagram effectively reduced the redundancy search and improved the optimization efficiency. Aiming at the problem of “the shortest distance is not the lowest energy consumption” in the traditional path optimization algorithm, the energy consumption level was reduced by 26.41% after increasing the energy consumption constraint, although the path length and the number of inflection points were slightly higher than the shortest path constraint, which was more conducive to the navigation of underwater vehicles.

The method proposed in this paper is not only suitable for trajectory planning of underwater robots but also suitable for trajectory planning of land robots.

The purpose of this study is to reveal the different ways in which a group of teachers understand the anger they feel toward the school principals with whom they interact.

The present study was designed and conducted as a phenomenography. In phenomenographic research, the number of different ways in which participants understand a particular phenomenon is revealed. The data from semi-structured interviews with 15 teachers who differed in terms of school level, gender and age were analyzed according to the phenomenographic tradition.

The analysis revealed that although the participants had eight different understandings of the anger in question, all participants had an understanding that was described as “An emotion arising from not being treated with the respect we deserve.”

The source of anger for the participating teachers was the behavior of their principals, which made them feel that they were not considered respectable and valuable. Incorporating this insight into the training of school leaders may lead to useful outcomes in improving the quality of interactions between principals and teachers.

As one of the few examples of phenomenographic research in educational management, the present study contributes to providing a solid foundation for exploring the anger that teachers feel toward their principals by showing how and in what ways participating teachers may understand this feeling.

Based on the Sociometer Theory, this study aims to develop a comprehensive framework explaining how and when negative workplace gossip triggers distinct responses, including employee silence and compulsory citizenship behavior (CCB).

Two scenario-based experiments and a field survey were conducted to examine hypotheses. Study 1 (N = 149) manipulated workplace negative gossip and assessed the mediating effects of state self-esteem. Study 2 (N = 217) manipulated workplace negative gossip and consideration of future consequences (CFC) to verify the stability of the mediating mechanism and test the moderating effect of CFC. Study 3 (N = 321) tested the whole research model.

The findings indicate that negative workplace gossip decreases state self-esteem, resulting in silence among employees with low levels of CFC, while inducing CCB through state self-esteem among employees with high levels of CFC.

This study not only extends the research of negative workplace gossip by exploring its multifaceted impact on employee responses but also highlights the role of personality traits in shaping individuals’ response strategies.

Gossip spreads like wildfire, damaging relationships, decaying trust and creating a negative work environment. This study aims to investigate the relationship between negative workplace gossip (NWG) and quiet quitting (QQ), while considering the mediating effects of workplace stress and emotional exhaustion (EE).

Drawing upon the conservation of resource theory, the study aimed to comprehend this association in the context of 267 employees from diverse sectors in India, including health care, IT, banking and education. Through a three-wave time lagged survey design, using partial least squares structural equation modeling, significant findings were uncovered.

The results revealed a positive link between NWG and QQ. There was also a positive correlation between NWG and workplace stress. In addition, workplace stress and EE were found to mediate the relationship between NWG and QQ.

The findings have implications for both theory and practice. Organizations should consider implementing strategies to mitigate the prevalence of negative gossip and foster a healthier work environment, promoting employee well-being and retention.

The study reveals the “black box” between NWG and QQ, adding to the body of knowledge on the novel concept of QQ. Second, the study expands the literature on NWG, by examining impact path of how it leads to stress and EE, leading to QQ.

Motivated by empirical features that characterize cryptocurrency volatility data, the authors develop a forecasting strategy that can account for both model uncertainty and heteroskedasticity of unknown form. The theoretical investigation establishes the asymptotic optimality of the proposed heteroskedastic model averaging heterogeneous autoregressive (H-MAHAR) estimator under mild conditions. The authors additionally examine the convergence rate of the estimated weights of the proposed H-MAHAR estimator. This analysis sheds new light on the asymptotic properties of the least squares model averaging estimator under alternative complicated data generating processes (DGPs). To examine the performance of the H-MAHAR estimator, the authors conduct an out-of-sample forecasting application involving 22 different cryptocurrency assets. The results emphasize the importance of accounting for both model uncertainty and heteroskedasticity in practice.

Based on the job demands-resources model (JD-R model) and conservation of resources (COR) approach, this study aims to examine how role overload and leader–leader exchange (LLX) affect leaders’ voice rejection, and explore when the positive relationship between role overload and voice rejection is weakened.

This study used three-wave data from 205 leader–employee pairs and tested the hypothesized moderated mediation model using hierarchical regression and bootstrapping.

Results revealed that two parallel paths influence leaders’ voice rejection. The first path was “LLX → change self-efficacy → voice rejection”, and the second path was “role overload → emotional exhaustion → voice rejection”. LLX weakened the direct relationship between role overload and emotional exhaustion, and weakened the indirect relationship between role overload and voice rejection via emotional exhaustion.

Organizations need to provide team leaders with additional resources and reduce their workloads to enhance their effectiveness in fulfilling the role of voice managers.

This study provides a comprehensive explanation, according to the JD-R model and COR theory, of how and when job demand and job resource influence leaders’ voice rejection, thereby enhancing our understanding of the formation. It provides new insights into leader voice rejection.

This paper aims to obtain the evolution law of dynamic performance of CR400BF electric multiple unit (EMU).

Using the dynamic simulation based on field test, stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers were tested. Stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to research the evolution law with running mileage of dynamic index of CR400BF EMU.

The results showed that stiffness and damping coefficient subjected to normal distribution, the mean and variance were computed and the evolution law of stiffness and damping coefficient with running mileage was obtained.

Firstly, based on the field test we found that stiffness of rotary arm nodes and damping coefficient of anti-hunting dampers subjected to normal distribution, and the evolution law of stiffness and damping coefficient with running mileage was proposed. Secondly stiffness, damping coefficient, friction coefficient, track gauge were taken as random variables, the stochastic dynamics simulation method was constructed and applied to the research to the evolution law with running mileage of dynamic index of CR400BF EMU.

This study intends to explore the influence of emotional intelligence on employee self-efficacy in Pakistan's telecom industry. Besides, it explores the mediating effect of emotional labor (surface acting and deep acting) between them. This study also tests the relationship between emotional labor (surface acting and deep acting) and self-efficacy in the customer care of Pakistan's telecom division.

The study leads forward with a positivist approach to obtain data in two different waves as a time lag study from the big five telecom companies operating in Pakistan. The data was collected from 270 employees working in Customer Services in the Telecom sector.

The results reveal that there exists a positive relationship between emotional intelligence and self-efficacy in customer care employees in Pakistan's telecommunication division sector. Moreover, emotional labor (deep acting) partially mediates the relationship between emotional intelligence and self-efficacy, and surface acting could not mediate the relationship among the employees of customer care in Pakistan's telecom division.

Management of emotions at the workplace has been an immensely vital area in managing the performance of employees, especially in customer-centric jobs, where dealing with customers is the prime focus and achieving customer satisfaction is the utmost outcome. There is limited evidence of the relationship between emotional intelligence and self-efficacy specifically in the customer care of the Telecom sector.

The purpose of this study is to investigate the influence of varying concentrations of nano-SiO₂ particle doping on the structure and properties of the micro-arc oxidation (MAO) coating of 7075 aluminum alloy. This research aims to provide novel insights and methodologies for the surface treatment and protection of 7075 aluminum alloy.

The surface morphology of the MAO coating was characterized using scanning electron microscope. Energy spectrometer was used to characterize the elemental content and distribution on the surface and cross section of the MAO coating. The phase composition of the MAO coating was characterized using X-ray diffractometer. The corrosion resistance of the MAO coating was characterized using an electrochemical workstation.

The results showed that when the addition of nano-SiO₂ particles is 3 g/L, the corrosion resistance is optimal.

This study investigated the influence of different concentrations of nano-SiO₂ particles on the structure and properties of the MAO coating of 7075 aluminum alloy.

This study investigates consumer perspectives on cultural appropriation in the fashion industry by analysing user-generated content on Douyin.

Using text-mining techniques, including topic modeling and sentiment analysis, 6,584 comments related to the Dior midi-length skirt controversy were analyzed to identify key themes and sentiments.

The study reveals that cultural appropriation elicits polarized responses. Positive themes, such as cultural appreciation, innovation and global exposure, highlight consumer approval of respectful and creative integration of cultural elements. Negative themes, including cultural theft, historical inaccuracy and commercial exploitation, underscore concerns about commodification and misuse of cultural symbols.

Fashion brands should prioritize cultural sensitivity by collaborating with cultural communities, ensuring historical accuracy and promoting ethical engagement with cultural symbols. Proactively addressing these issues through real-time consumer feedback can help mitigate backlash, foster trust and enhance brand equity.

This study advances the discourse on cultural appropriation by leveraging real-time user-generated content to provide actionable insights for ethical practices in the fashion industry.