This paper investigates retracted articles indexed in the Scientific Electronic Library Online (SciELO) Brazil, using bibliometric techniques to identify the characteristics of these retractions and relevant citation trends. All records of retracted articles from the first record in October 2004 to April 2022 were included. Sixty-seven retractions and 870 citations pre- and post-retraction were analyzed. Results indicate a change of scenario that began in 2015, with recurrences of retracted articles allegedly produced by paper mills. The prevalence of retractions derived from (...) professional misconduct in health research and the frequency of post-retraction citations in health sciences raise concerns in the chain of stakeholders, public health, and scientific development. (shrink)

Contemporary social reform promotes rapid social transformation, and social practice has a special educational function in higher education. However, research shows weak willingness to participate in social practice among college students. Using the mixed research method, 438 completed questionnaire surveys on perceived environmental support were collected from college students. The influence of perceived environmental support on Chinese college students’ willingness to participate in social practice was analyzed using partial least squares structural equation modeling, and an empirical test was conducted. The (...) findings are as follows: Perceived environmental support significantly impacts students’ participation attitude and perceived behavioral control. Participation attitude and perceived behavioral control significantly influence participation intention, but behavioral norms have no significant influence. Participation intention and perceived behavioral control significantly influence actual behavior. This study provides the theoretical basis of perceived environmental support for future research on social practice participation intention and offers some theoretical guidance for the implementation of social practice in China. (shrink)

Transposable elements are no longer considered to be “junk” DNA. Here, we review how TEs can impact gene regulation systematically. TEs encode various regulatory elements that enables them to regulate gene expression. RJ Britten and EH Davidson hypothesized that TEs can integrate the function of various transcriptional regulators into gene regulatory networks. Uniquely TEs can deposit regulatory sites across the genome when they transpose, and thereby bring multiple genes under control of the same regulatory logic. Several studies together have robustly (...) established that TEs participate in embryonic development and oncogenesis. We discuss the regulatory characteristics of TEs in context of evolution to understand the extent of their impact on gene networks. Understanding these features of TEs is central to future investigations of TEs in cellular processes and phenotypic presentations, which are applicable to development and disease studies. We re-visit the Britten–Davidson “gene-battery” model and understand the genetic and transcriptional impact of TEs in innovating gene regulatory networks. Transposable elements are exogenous sequences that have either been co-opted or repurposed for host functions. The vast amounts of TE sequence in the genome provides raw material for gene expression regulation, and still remains to be fully understood; the “gene-battery” model provides the basis for understanding this. (shrink)

In order to solve the problems of poor physical fitness of college students and low efficiency of college sport venues' management, an intelligent sports management system based on deep learning technology is designed by using information technology and human-computer interaction under artificial intelligence. Based on the Browser/Server structure, the intelligent sports management system is constructed. The basic framework of Spring Cloud is used to integrate the framework and components of each part, and a distributed microservice system is built. The artificial (...) intelligence recommendation algorithm is used to analyze the user's age, body mass index, and physical health status, and recommend sports programs suitable for students, thus realizing the intelligent sports program recommendation function. At the same time, the recommendation algorithm is used to complete the course recommendation according to the students' preferences, teaching distance, opening time, course evaluation, and other indexes, and the course registration system is constructed; after the analysis of the entity and the relationship between the entities of the intelligent sports system, the database relational model of the system is designed with the entity relationship diagram. The results of the functional test show that the system can run well. In conclusion, the sports training environment instructional system based on artificial intelligence and deep learning technology can meet the teaching needs of colleges, improve the sports' quality for college students, and promote psychological education. (shrink)

Education of Chinese cultural traditions has been endorsed by the central government in Mainland China in recent years. The article presents a study which examined how nationalism advocated in the policy text has been interpreted at the localized level by primary school teachers in Beijing. The study draws on discourse theories as the primary point of reference. The qualitative coding methods and textual analysis were employed to interpret the meanings of 52 interview transcripts of public primary school teachers. The findings (...) reveal a discrepancy between the discourse on nationalism presented by the policy and the discourse used by the respondents. The former exhibited a strong nationalist aspiration. The latter made a discourse of cultural nationalism more explicit, which cherishes the intellectual and esthetic aspects of Chinese cultural heritage, and considers them important in cultivating students’ cultural taste and moral characters. Teachers’ lack of knowledge of the original policy text mi... (shrink)

In this study, the research objective of psychological resilience refers to the emerging professional group of Internet marketers under the background of the COVID-19 pandemic environment. This paper studies the effect of the psychological resilience of Internet marketers on their subjective career success. The result shows that Internet marketers’ psychological resilience has a positive impact on their subjective career success. The work engagement of Internet marketers plays a mediating role in the relationship between psychological resilience and subjective career success. Meanwhile, (...) Internet marketers’ workload positively moderates the mediating effects of work engagement. This study starts from the perspective of positive psychology to investigate the psychological resilience of Internet marketers and broadens the scope of application of positive organizational behavior and psychology. (shrink)

This study examines the impact of employment values on college students’ choice intention of slow employment, as well as the role of employment anxiety and social support in this process. A questionnaire survey is conducted among students from several universities in Haidian and Changping Districts of Beijing to test a theoretical model. It is found that the employment long-term income orientation and employment cost avoidance orientation significantly positively predicted the choice intention of slow employment, and employment anxiety plays a mediating (...) role in this relationship. The short-term income orientation of employment significantly negatively affects the choice intention of slow employment. Social support moderates the impact of the long-term and short-term employment income orientation on employment anxiety and the mediation effect of employment anxiety. This study contributes to the literature on college students’ employment psychology and behavior, and it provides an approach for colleges and universities, society at large, families, and college students to reduce the choice intention of slow employment and achieve fuller employment. (shrink)

This paper proposes an adaptive formation tracking control algorithm optimized by Q-learning scheme for multiple mobile robots. In order to handle the model uncertainties and external disturbances, a desired linear extended state observer is designed to develop an adaptive formation tracking control strategy. Then an adaptive method of sliding mode control parameters optimized by Q-learning scheme is employed, which can avoid the complex parameter tuning process. Furthermore, the stability of the closed-loop control system is rigorously proved by means of matrix (...) properties of graph theory and Lyapunov theory, and the formation tracking errors can be guaranteed to be uniformly ultimately bounded. Finally, simulations are presented to show the proposed algorithm has the advantages of faster convergence rate, higher tracking accuracy, and better steady-state performance. (shrink)