摘要 : Against the growing prominence of the digital economy, leveraging corporate digital transformation (CDT) to foster corporate disruptive innovation (CDI) has become critical for enhancing firm resilience and long-term profitability. Despite this importance, existing research offers limited evidence on the relationship between CDT and CDI in modern market economies. Using panel data on Chinese listed firms from 2013 to 2022, we employ two-way fixed-effects and difference-in-differences (DID) models to examine the causal impact of CDT on CDI and to explore the underlying mechanisms. We introduce top management faultlines (fau) as moderating factors. The results show that CDT significantly promotes CDI, and this effect is further amplified in firms with stronger top management faultlines. Our findings provide new empirical evidence on the innovation consequences of digital transformation and offer important policy and managerial implications for advancing CDT and fostering disruptive innovation.

摘要 : Increasing human disturbance (HD) is accelerating the erosion of ecosystem health (EH), posing severe and far-reaching threats to human well-being and ecosystem security. Although this issue has drawn global attention, existing studies predominantly focus on linear relationships between the two, while systematic exploration of nonlinear relationships and threshold effects between HD and EH has received limited attention. This knowledge gap hinders the formulation of precise strategies. This study employs an interpretable machine learning approach that combines an XGBoost model with SHAP analysis to systematically quantify the nonlinear impacts and threshold effects of multiple HD variables on the ecosystem health index (EHI) in the Taihu Basin from 2000 to 2020. A composite human disturbance index (HDI) is further constructed, and piecewise linear regression is used to identify critical thresholds in the HDI–EHI relationship. The results indicate that: (1) Land use intensity, population density, and night light are the primary driving variables, with SHAP contribution rates of 55.90%, 21.79% and 13.72%, respectively; (2) EHI responds to land use intensity, and population density in an inverted U-shaped manner, with recommended thresholds of land use intensity <0.7 and population density < 0.8, whereas night light has a monotonically negative effect with a critical threshold at 0.6; (3) The study reveals critical inflection points of impact of HDI on EHI, categorizing them into four stages: moderate promotion, critical decline, sustained resilience, and excessive collapse, presenting typical threshold transition characteristics, and shows that EHI declines sharply once HDI exceeds approximately 0.666. Based on these findings, we propose targeted planning and management strategies at different levels, emphasizing the importance of "pre-threshold proactive intervention" in preventive ecological planning and management. This research provides a new perspective for understanding complex social-ecological system relationships and offers robust support for achieving Sustainable Development Goals.

摘要 : Historic urban areas (HUAs) are visually and culturally sensitive environments where blue-green infrastructure (BGI) plays an increasingly important role in shaping spatial identity and environmental quality. While BGI's ecological functions are well documented, its influence on human visual perception, particularly within HUAs, remains largely unexplored. Addressing this gap, this paper proposes an integrative framework to assess how BGI affects visual experiences in heritage contexts, bridging methodological, perceptual, and user-group dimensions. By combining UAV-based photogrammetry with a three-layered perception model, the research integrates spatial analysis and empirical methods across seeing (eye-tracking), feeling (questionnaire), and understanding (interviews) layers. Street-level BGI exposure was spatially quantified and used to inform perception experiments involving both expert and general public groups. This multi-methodological, multi-layered, cross-group approach extends existing research by providing a comprehensive examination of BGI's visual impact at different cognitive levels, particularly within historic settings. Findings reveal that BGI enhances perceptual diversity, visual preference evaluation, and cognitive engagement across both groups. Although it may slightly divert attention from dominant heritage features, BGI fosters broader visual exploration and higher environmental ratings. Experts interpret BGI through more systemic and functional perspectives, while the public emphasizes emotional, aesthetic, and recreational values. Overall, this study presents a replicable framework integrating digital spatial modeling with layered perception analysis, offering new insights for evaluating and enhancing visual environments in HUAs. It supports more inclusive visual assessments and provides a basis for informed planning and selective design interventions in heritage contexts.

摘要 : Urban vitality is widely recognized as a key criteria of urban quality, yet achieving a real-time evaluation of urban vitality and linking it with the effectiveness of urban renewal strategies presents ongoing challenges in policy and planning decision-making. To fill in this gap, this study developed an integrated evaluation framework and applied it to assess urban renewal projects in Suzhou through three quantitative dimensions: spatial behavior patterns, social perception dynamics, and policy intervention impacts. Key findings include: (1) In old communities, parking and structural upgrades significantly improve urban vitality (coefficients 0.127 and 0.099). (2) Public-facility renewal shows strong gains from traffic improvements (0.208), while excessive leisure space reduces effectiveness (− 0.299). (3) Cultural identity, lighting, and service facilities generate notable spatial spillover effects, underscoring multi-intervention synergies in mixed-use areas. The effectiveness of urban renewal initiatives is shaped by joint efforts of multiple interventions, especially in mixed-functional zones with residential, commercial, and public facilities. It is expected that this pioneering framework would support decision-making in future urban planning and design from a more scientific and data-driven perspective.

摘要 : The scale of migrant preschool children in China continues to expand. "Migration" as an important life event in the development of preschool children will have a profound and lasting impact on their development. To explore the influence of family socioeconomic status on the problem behaviors of migrant preschool children and their underlying mechanisms, we conducted a survey on 939 migrant preschool children and their parents. The findings reveal a significant negative correlation between family socioeconomic status and the problem behaviors exhibited by migrant preschool children; family socioeconomic status can influence problem behaviors in migrant preschool children through the independent mediating effects of mindful parenting and resilience, as well as the serial mediating effects of mindful parenting and resilience. This study expands the relevant research in the field of migrant preschool children and provides some theoretical references for the prevention and intervention of problem behaviors in migrant preschool children.

摘要 : Biological motion exhibits bistable characteristics when presented in the depth dimension, and sound, as an important multisensory cue, can modulate this bistable perception. Previous studies often adopted nonbiological tones and had not fully controlled the inherent bias of visual stimuli. The underlying cognitive mechanism also requires further exploration using computational models. To address these research needs, the present study combined psychophysical methods with the hierarchical drift–diffusion model (HDDM) to investigate the effects of footstep sounds on bistable biological motion processing and its mechanism. A total of 24 naïve participants completed the experiment. Results showed that the proportion of "facing the viewer (FTV)" responses was significantly higher under looming and constant sound conditions relative to the receding sound condition, and reaction time (RT) in the no-sound condition was significantly slower than the other three sound conditions. Further HDDM analysis revealed that sound regulates the processing of bistable biological motion by shortening nondecision time (t) and modulating drift rate (v). The study demonstrates that footstep sounds accelerate the processing of bistable biological motion, and the directional information carried by sound drives visual perception to align with it. This effect is mediated by a two-stage mechanism that modulates nondecision processing (including early perceptual encoding) and strengthens evidence accumulation. This study provides empirical evidence for understanding the role of multisensory interaction in the perception of bistable biological motion. The data, materials and code are available in the Open Science Framework (OSF) repository (https://osf.io/3vm7p/). None of the experiments was preregistered.

摘要 : BackgroundIn recent years, mental health problems among college students have intensified, with a rapid increase in the detection rates of anxiety and depression. Statistics show that approximately 38.2% of students experience psychological distress, and 11.6% require intervention. Traditional teaching emphasizes knowledge transmission while neglecting emotional support. Teacher-student collaborative teaching enhances emotional adjustment and social support through emotional participation, collaborative learning, and psychological feedback. Given that mood disorders are an early manifestation of mental health issues, and research indicates that proactive intervention can promote recovery, it is necessary to explore the positive impact of this teaching model on students' mental health.MethodsA total of 412 undergraduate students from three universities were randomly divided into a mutual assistance group (n = 207) and a traditional group (n = 205). The study lasted for 16 weeks. The mutual assistance group implemented a "collaborative learning + teacher psychological support + weekly emotional feedback talks" model, while the traditional group used conventional teaching methods. The Symptom Checklist-90 (SCL-90) and the Perceived Stress Scale (PSS) were used for statistical analysis. Paired t-tests and two-way ANOVA were used for statistical analysis, with a significance level set at p.05). PSS scores indicated a 10.1% reduction in perceived stress in the mutual assistance group versus 2.8% in the traditional group. Positive affect improved by 15.6%, and interpersonal trust by 18.2% in the mutual assistance group, both significantly higher than in the traditional group (p<.01). Meanwhile, the proportion of students exhibiting emotional instability decreased from 9.7% to 3.4%, with a recovery rate of 64.5%, compared to 28.9% in the traditional group. Teacher–student interaction frequency was moderately negatively correlated with stress improvement (r = –0.41, p<.01), suggesting more frequent interaction predicts lower stress.DiscussionStudies have demonstrated that the teacher–student mutual assistance teaching model significantly enhances students' mental health. The mechanism is reflected in the creation of a supportive learning environment, reinforcement of positive attribution, and improvement of psychological safety, aligning with the principles of early detection and interpersonal connection emphasized in psychological interventions. The model may further be applied to high-risk groups and integrated with intelligent emotion recognition or dynamic psychological monitoring to realize a combined teaching–intervention system. As this study did not fully consider differences in academic disciplines or levels of teacher engagement, future research should enlarge the sample scope and implement long-term follow-up to verify the persistence of the effect. Overall, the teacher–student mutual assistance model demonstrates considerable practical value and theoretical innovation potential.

摘要 : This study examined how priming with positive and negative emotion‐label words (ELWs; e.g., "happy", "sad") and emotion‐laden words (ELdWs; e.g., "money", "death") influences estimation performance in a two‐digit multiplication task. In Experiment 1, participants applied an assigned strategy, whereas in Experiment 2 they freely chose between strategies. The results revealed several key patterns. First, positive priming (particularly through ELdWs) increased adoption of the down-up strategy (DU strategy, e.g., estimating 43 × 78 as 40 × 80 = 3200), while no clear strategy preference emerged under negative ELWs and ELdWs priming conditions. Second, in Experiment 1, the accuracy (ACC) was lower for positive ELWs than for positive ELdWs priming; moreover, the DU strategy was executed more accurately under positive priming, whereas ACC for the up-down strategy (UD strategy, e.g., estimating 43 × 78 as 50 × 70 = 3500) did not vary by valence. In Experiment 2, ACC showed no significant effects. Reaction time (RT) analyses showed a consistent dissociation across experiments: positive priming sped DU strategy utilization, and negative priming accelerated UD strategy utilization. Furthermore, a significant interaction indicated that the DU strategy was executed faster following ELdW primes, whereas the UD strategy was executed faster following ELW primes. Finally, math anxiety had no significant effect on ACC, RT, or strategy selection adaptivity. Taken together, these findings demonstrate that ELWs and ELdWs priming exert distinct effects on estimation performance, whereas math anxiety exerts no significant influence. This study underscores the importance of distinguishing between ELWs and ELdWs when investigating how emotional language processing modulates cognitive performance.

摘要 : In response to mounting climate challenges and global calls for low-carbon development, firms are increasingly integrating environmental, social, and governance (ESG) practices with digital transformation strategies. This study investigates the synergistic effects of ESG initiatives and digital transformation on reducing corporate carbon emissions, using a dataset of A-share listed companies in China from 2009 to 2022. We apply entropy weighting and a coupled and coordinated development model to measure the strategic integration of ESG and digitalization. Empirical analysis based on a two-way fixed-effects model reveals that ESG–digital synergy significantly lowers carbon emission intensity. Further analysis identifies two mediating mechanisms—enhanced technological innovation and reduced managerial myopia. Additionally, we find that the synergy's effectiveness is positively moderated by regional marketization levels. The results offer theoretical insights into sustainable corporate governance and practical guidance for firms and policymakers in emerging markets seeking to align ESG and digital strategies for effective low-carbon transformation. This study contributes to the growing literature on strategic sustainability by introducing a novel framework for understanding how firms can leverage ESG–digital synergy to improve environmental performance.

摘要 : BackgroundThe proactive service behavior of employees in the public sector has important effects on the public's perceptions of service quality. However, it has rarely been studied among public sector employees. As job design research has developed, the social and relational aspects of work have been neglected. On the bases of person‒job fit theory and the proactive motivation model, this study explores the influences and mechanisms of two dimensions of relational job characteristics—job impact on service recipients and job contact with service recipients—on Chinese public sector employees' proactive service behavior. Specifically, it examines the mediating role of work calling. In addition, it explores public service motivation as a moderator of the relationships between relational job characteristics and work calling.MethodsThis study adopted a cross-sectional survey design. 342 questionnaires were collected using the paid sampling service of the Questionnaire Star, of which 330 (96.49%) were valid. The participants' relational job characteristics, public service motivation, work calling, and proactive service behavior were measured. SPSS was used for descriptive statistical analysis and correlation analysis. Path analysis with observable variables was conducted to test the hypotheses using Mplus.ResultsThe results indicated that job impact and job contact were positively associated with public sector employees' proactive service behavior (B1 = 0.099, p < 0.01' B2 = 0.081, p < 0.01) and that work calling mediated the effects of job impact and job contact on proactive service behavior (B1 = 0.032, p < 0.05' B2 = 0.038, p < 0.01). Public service motivation moderated the relationship between job impact and work calling (B = 0.091, p < 0.05) and the mediating effect of work calling between job impact and proactive service behavior.ConclusionsOur findings highlight that relational job characteristics and work calling are key antecedents of proactive service behavior, with public service motivation amplifying the positive effects of job impact. In practice, these findings demonstrate that public sector organizations can improve employees' proactive service behavior through optimizing job design to reinforce relational elements and nurturing work calling and PSM via recruitment, training, and supportive organizational settings. These strategies collectively contribute to building a more efficient and citizen-centric service-oriented government.