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Previous studies have demonstrated positive correlations between children’s interpersonal trust and social adjustment. However, the psychological mechanism underlying this effect is still unclear. The current study tested the indirect roles of teacher–student relationships from both students’ and teachers’ perspectives in a Chinese context. In total, 709 pupils from grade three to grade five, and their 17 head teachers from a Chinese public primary school participated in this study. The Children’s Generalized Trust Beliefs Scale, Social Adjustment Scale for Children and Adolescents, and Teacher–Student Relationship Questionnaire were used in this study. All these variables were correlated with each other. Structural equation models showed that the interpersonal trust indirectly influenced social adjustment through the teacher–student relationship from students’ perspectives, while the teacher–student relationship from teachers’ perspectives did not play an indirect role. These findings suggest that the teacher–student relationship perceived by students is more important for children’s social adjustment than that perceived by teachers. Both parents and teachers should pay more attention to developing children’s interpersonal trust, build better teacher–student relationships, and focus more on how children feel about the relationship.

Failure mode and effects analysis (FMEA) is one of the most effective pre-accident prevention methods. Risk priority number (RPN) approach is a traditional method in the FMEA for risk evaluation. However, there are some shortcomings in the traditional RPN method. In this paper, we propose an FMEA approach based on Dempster-Shafer theory (DST) in an uncertainty evaluation environment. An evidential network (EN) method is proposed to establish a new model for risk evaluation in the FMEA, and we propose a novel approach to determine the conditional belief mass table (CBMT) of the non-root node. In addition, subjective weight and objective weight are integrated to determine the weights of risk factors, which can fully reflect the importance of risk factors. A numerical case is provided to illustrate the practical application of the proposed method, and the results show that this method is reasonable and effective. INDEX TERMS Failure mode and effects analysis, risk priority number, Dempster-Shafer theory, evidential network.