喀什大学

Achieving sustainable tourism development is one of the biggest challenges faced by the industry. Using 2005–2021 data from 30 Chinese provinces, this study employs the super-efficiency slack-based measure (super-SBM) model and the entropy weight method to measure tourism eco-efficiency (TEE) and tourism economic resilience (TER) and examines their heterogeneous relationship using the method of moments quantile regression (MMQR). The results reveal that both TEE and TER exhibit a positive growth trend and a spatial distribution characterized by higher concentrations in the eastern region and lower in the western region, highlighting significant regional disparities. Moreover, TER negatively affects TEE, with stronger negative impacts at higher quantiles, a conclusion supported by robustness checks. The regional heterogeneity analysis indicates that TER has a significant negative impact on TEE in the eastern and western regions, while no significant impact is observed in the central region. The moderating effect analysis shows that stronger environmental regulation (ENR) levels amplify TER’s negative impact on TEE. Overall, this study exposes the significant tradeoffs between enhancing TER and maintaining TEE, offering insights into the challenges of achieving sustainable tourism development in China and other developing nations.

Evidence on whether educational robotics (ER)–assisted programming instruction improves students’ computational thinking (CT) remains mixed. To synthesize existing findings, we conducted a meta-analysis of 33 empirical studies (39 effect sizes) published between 2015 and 2025. Eligible studies were identified through searches of Web of Science, ScienceDirect, Taylor Francis Online, Wiley Online Library, SAGE Journals, IEEE Xplore, and Google Scholar. Effect sizes were calculated using Hedges’ g, and a random-effects model was adopted because substantial heterogeneity was observed (I²=79.61%, Q=186.369, p0.001). The results showed a statistically significant moderate positive effect of ER-assisted programming instruction on CT (g=0.621, p0.001). Subgroup analyses further indicated that intervention duration and programming mode explained part of the heterogeneity: longer interventions produced larger effects, and plugged programming yielded stronger gains than unplugged programming. These findings support ER as an effective approach for promoting CT in programming instruction and suggest that instructional duration and programming mode should be carefully considered in ER-supported learning design.

Backgrounds With the integration of digital technologies, individuals are increasingly exposed to high-volume information flows, multi-platform communication, and online performance pressures that can lead to digital stress, a novel risk factor for mental health. Although existing studies have preliminarily demonstrated a negative association between digital stress and mental well-being, empirical evidence remains limited regarding the underlying mechanisms through which digital stress may lead to depressive symptoms via a sequential chain involving positive affect, negative affect, and loneliness. This study therefore tests the chained mediating effects of these variables in the association between digital stress and depression among Chinese college students, aiming to inform theory and practice for mental health interventions in higher education. Methods A cross-sectional survey was conducted from October to November 2024 among 1,231 undergraduates from five universities across eastern, central, and western China. Participants completed measures of digital stress, positive/negative emotions, loneliness, and depression. Correlation and chain mediation analyses (using PROCESS for SPSS) were performed, controlling for age, gender, and family background. Results Digital stress was significantly correlated with all variables. Both positive and negative emotions, as well as loneliness, independently mediated the link between digital stress and depression. Furthermore, digital stress had a direct effect on depression and indirect effects through two chain mediation pathways: positive emotion → loneliness and negative emotion → loneliness. Conclusions Digital stress impacts depression through multiple psychological pathways. These findings offer a novel theoretical framework for understanding digital-era depression and inform strategies for developing integrated digital mental health support systems in educational contexts.

Current research on tunnels crossing active faults primarily focuses on individual tunnel cases,while the group tunnel effect in tunnel groups has not been systematically addressed.The influence of high internal water pressure on deformation mechanisms is rarely considered.This study employs physical model tests and numerical analysis under high internal pressure to investigate the fault resistance of tunnel groups.The results demonstrate the following:(1)Corrugated expansion joints significantly enhance fault resistance,delaying and reducing peak longitudinal strain(with maximum tensile strain reduced by 69%and compressive strain by 48%)and converting shear failure into coordinated deformation.(2)Group effects intensify the fracturing of surrounding rock during dislocation,resulting in a complex"Y-shaped intersecting crack system."(3)The sides of adjacent tunnels exhibit higher strain responses than the outer sides(with peak compressive strain at 87%and longitudinal tensile strain at 35%),indicating tunnel-rock-tunnel interaction.(4)Earth pressure between tunnels increases abnormally due to group effects,while the pressure on the outer sides remains largely unaffected.(5)The mechanical response of the lining(axial and shear force)strengthens with smaller tunnel spacing but diminishes and stabilizes as spacing increases.This study reveals the failure mechanisms of high-pressure hydraulic tunnel groups,providing insights for fault-resistant designs in seismic zones.