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The article explores the teaching methods of music and training a future music teacher in the system of professional music education in the historical and cultural context at universities and colleges in China.

The factors giving rise to the safety leadership of senior managers in the coal mining industry are underexplored. We conducted 24 semistructured interviews with experienced senior managers in this industry. We used hermeneutic content analysis for the interview content, identified
five safety leadership dimensions of senior mangers, and designed the Safety Leadership Scale in Coal Mines in China. Data from 845 participants in nine coal mines were analyzed with confirmatory factor analysis (CFA). We followed a two-step approach, involving data pruning and a second-order
CFA, and validated a 21-item measure that shows good validity and reliability. The secondorder CFA results show that the measure yielded an acceptable fit. Our results can be used to estimate the safety leadership level among senior managers in China's coal mining industry.

In this paper, we designed a beacon-based hybrid routing protocol to adapt to the new forms of intelligent warfare, accelerate the application of unmanned vehicles in the military field, and solve the problems such as high maintenance cost, path failure, and repeated routing pathfinding in large-scale unmanned vehicle network communications for new battlefields. This protocol used the periodic broadcast pulses initiated by the beacon nodes to provide synchronization and routing to the network and established a spanning tree through which the nodes communicated with each other. An NS3 platform was used to build a dynamic simulation environment of service data to evaluate the network performance. The results showed that when it was used in a range of 5 ~ 35 communication links, the beacon-based routing protocol's PDR was approximately 10% higher than that of AODV routing protocol. At 5 ~ 50 communication links, the result was approximately 20% higher than the DSDV routing protocol. The routing load was not related to the number of nodes and communication link data and the protocol had better performance than traditional AODV and DSDV routing protocol, which reduced the cost of the routing protocol and effectively improved the stability and reliability of the network. The protocol we designed is more suitable for the scenarios of large-scale unmanned vehicle network communication in the future AI battlefield.

Workplace bullying has grown in many professions and has various negative effects, of which workplace loneliness should be paid special attention to. This study explored the relationship between workplace bullying and workplace loneliness, and constructed a chain-mediated model to investigate the chain-mediated effects of social anxiety and fear of negative evaluation.In this study, 361 employees from government units and enterprises in a city of China were surveyed by convenient sampling method and the partial least squares structural equation modeling approach was used to analysis the data. The results showed that: (1) workplace bullying, social anxiety, fear of negative evaluation were significantly positively correlated with workplace loneliness.(2) Social anxiety has a significant mediating effect between workplace bullying and workplace loneliness.(3) Workplace bullying significantly predicted workplace loneliness through the serial mediating effects of social anxiety and fear of negative evaluation.The results of this study reveal the impact of workplace bullying on workplace loneliness and its mechanism, and provide some guidance for the intervention of workplace loneliness.

PurposeAs ecommerce becomes more prevalent, traditional brick-and-mortar retailers such as warehouse clubs (WCs) face the challenging task of maintaining and growing their customer base. This study aims to unravel the combined impact of retail agglomeration and ecommerce activities on consumer foot traffic (also referred to as "footprint") at WC stores, placing an emphasis on the locational strategies adopted by WCs in this evolving retail landscape.Design/methodology/approachMobile-based customer foot traffic data for Costco, a major U.S. WC chain, is sourced for our analysis. We use Principal Component Analysis (PCA) to identify dimensions of general merchandise (GM) and narrow-range merchandise (NM) retail agglomeration. Two-stage least squares (2SLS) regressions are used to explore how the intensity of ecommerce activities and WC locational choices within retail agglomerations impact WC foot traffic.FindingsOur analysis highlights a notable decline in WC store visits attributable to both GM and NM ecommerce activities, with GM ecommerce presenting a more significant competitive challenge to WCs. Regarding retail agglomerations, proximity to GM clusters that include a diverse range of supercenters, department stores, and club stores, is associated with an increase in WC customer visits within their vicinity. In contrast, the influence of NM agglomerations is mixed; clusters adjacent to grocery stores lead to higher WC customer traffic compared to those focused on other specialized stores. These findings underscore the strategic importance of location in mitigating the adverse effects of ecommerce competition. Additionally, our study uncovers intricate dynamics between GM and NM retail clusters and ecommerce activities, demonstrating varied impacts on WC customer footprint.Research limitations/implicationsAccess to customer footprint data illustrates the potential of this data source for retail decision making and researchers. Our analysis is limited to one chain, notably Costco.Practical implicationsOur findings underscore the need for retailers to adeptly navigate the evolving retail landscape, including the confluence between physical and digital retail environments, to secure future success. In particular, our results emphasize the benefits of locating stores within mixed retail agglomerations and underline the need to consider the broader retail landscape in location decisions.Social implicationsThe rise of ecommerce in the U.S. has reshaped consumer behavior and altered local shopping districts' communal dynamics. This change may spur policy interventions to help physical stores compete with online retailers, emphasizing the importance of retail diversity and community-centric environments to sustain communal retail interactions amidst digital advancements.Originality/valueThe paper makes use of a unique dataset to provide a first assessment of the combined effects of retail agglomeration and ecommerce activities on consumer foot traffic for WC retailers. Thus, this paper provides insights into the impacts on consumer shopping behavior from the dynamic interactions between physical retail clusters and online shopping behaviors.