Background: Traditional education in neurosurgery primarily relies on observation, giving residents and interns limited opportunities for clinical practice. However, the development of 3D printing has the potential to improve this situation. Based on bibliometrics, we analyze the application of 3D printing technology in neurosurgery medical education and surgical training. Methods: We searched the publications in this field in Web of Science core collection database from September 2000 to September 2023. VOS viewer, Citespace and Microsoft Office Excel were used to visually analyze and draw knowledge graphs. Results: A total of 231 articles and reviews were included. The United States is the country with the largest volume of articles and Mayo Clinic is the leading organization in this field. Partnership between countries, authors and institutions is also presented. World Neurosurgery is the journal with the highest number of publications. The top three key words by occurrence rate are “3D printing”, “surgery” and “simulation”. Conclusions: In recent years, more and more attention has been paid to the research in this field. According to bibliometric analysis, “accuracy” and “surgery simulation” are the research focuses in this field, while “augment reality” is the potential research target.

As China’s urbanization process accelerates, it has become common for rural men to go out to work and women to stay at home. The implementation of China’s rural revitalization strategy is in dire need of a large amount of high-quality human capital, and education and training are an important way to improve human capital and empower left-behind women. Starting from the background of China’s rural revitalization, this study focuses on the education and training of rural left-behind women, a topic that has received less attention. Through in-depth interviews and participatory observation, we analyzed the factors affecting rural left-behind women’s participation in education and training, as well as the problems that exist in China’s rural education and training process, and proposed strategies to solve them. The study found that education level, traditional attitudes, economic income, knowledge of education and training, and mental health are important factors affecting the participation of left-behind women in education and training in rural China. At the same time, there are some problems in the process of education and training, such as a single main body of supply and training methods, a lack of teachers, and a lack of management, etc., which affect the development of education and training, and thus also the promotion of rural revitalization.

This study investigates the impact of various educational and social factors on the digital skills of vocational education and training (VET) students, emphasizing the significance of continuous skill development in the digital age. Utilizing structural equation modeling (SEM), the paper analyzes data from 382 adult VET students in Greece, examining the effects of Erasmus program participation, daily computer use, educational platforms, and social network engagement on digital competencies. The findings reveal that participation in Erasmus programs and the use of educational platforms significantly enhance students’ digital skills, highlighting the value of international experiences and digital learning tools in VET. Conversely, daily computer use alone does not significantly impact digital skills, suggesting that structured and purposeful digital tool integration is essential for skill development. The study also underscores the positive role of social networks in improving content management skills, advocating for their strategic use in educational settings. These results demonstrate the need for targeted digital literacy initiatives within VET programs to prepare students for modern labor market demands. The research contributes to the theoretical understanding of digital skill acquisition and offers practical insights for educators and policymakers to enhance VET curricula, fostering economic and social progress through improved digital literacy.

There has been a growing interest in studying dysfunctional personality traits in the workplace. In line with this trend, this study examines how the Dark Triad personalities (Machiavellianism, narcissism, and psychopathy) can predict innovative work behavior. Additionally, the study builds on Trait Activation Theory and proposes a moderating effect of training satisfaction on this relationship. The purpose of this study is to understand if the Dark Triad traits predict innovative behavior while simultaneously examining the role of training satisfaction in channeling these traits toward innovative behavior. A questionnaire-based survey was conducted on the five largest telecommunication companies in Pakistan. The data gathered was analyzed using structural equation modeling. Results established a positive relationship between each trait of the Dark Triad and innovative work behavior. Moreover, training satisfaction was found to moderate the relationship between the psychopathy trait and innovative work behavior. In light of these findings, the study contributes to personality-behavior research in organizations by demonstrating that the Dark Triad predicts innovative work behavior in managers and that the innovative behaviors associated with the psychopathy trait can be enhanced in the presence of training satisfaction.