Nanchang Normal University

The psychological crises associated with poor supervisor-student relationship among graduate students have raised growing public concerns. In the Chinese graduate education context, supervisors play a central and highly influential role in students' academic development, which makes the supervisor-student relationship particularly critical for their psychological well-being. This study examined the association between supervisor-student relationship and anxiety, the mediating role of general self-efficacy, and the moderating role of attitudes toward seeking professional psychological help among Chinese graduate students. A total of 1233 Chinese graduate students (36.6% female; Mage = 24.19, SD = 2.21, range = 20-40 years) participated in the study and completed measures of Teacher-Student Relationship Quality Questionnaire, General Self-Efficacy Scale, Attitudes Toward Seeking Professional Psychological Help Scale-Short Form, and the Generalized Anxiety Disorder-7. All measurement instruments demonstrated good reliability and validity in the present sample. The data were analyzed using a moderated model with SPSS 25.0 and the supplemental PROCESS macro 4.2. Supervisor-student relationship was significantly negatively associated with anxiety (β = -0.364, p < 0.001), and mediation analyses indicated that general self-efficacy partially mediated this association (indirect effect = - 0.152, 95% CI = [- 0.192, - 0.115]). Moderated mediation analysis further revealed that attitudes toward seeking professional psychological help buffered the adverse effects of supervisor-student relationship on anxiety (β = 0.106, p < 0.001), as well as the correlation between supervisor-student relationship and general self-efficacy (β = -0.119, p < 0.001). This study demonstrates that the quality of the supervisor-student relationship is closely associated with graduate students' anxiety and that this link operates partly through general self-efficacy. Positive attitudes toward seeking professional psychological help weakened the association between poor supervisor-student relationship and anxiety and mitigated the decline in general self-efficacy. These findings clarify how interpersonal and psychological factors jointly shape anxiety and suggest that strengthening supportive supervisor-student relationship and fostering favorable attitudes toward seeking professional psychological help may be beneficial for safeguarding the mental health of graduate students.

ABSTRACT Tourism demand forecasting is essential for destination management and policy planning. This study develops a spatio-temporal deep learning framework based on Graph WaveNet to forecast daily tourist arrivals across the Hawaiian Islands. The proposed model jointly captures temporal dynamics and dynamic spatial dependencies among destinations, enabling more accurate multi-step demand prediction. Using island-level arrival data, we compare the proposed approach with classical statistical models and neural network–based benchmarks. The results show that the Graph WaveNet model consistently outperforms baseline methods across multiple forecasting horizons. These findings demonstrate the value of incorporating spatio-temporal structures into tourism demand forecasting and provide practical insights for regional tourism analytics and decision-making.