- Research Article
- 10.1016/j.patcog.2026.113168
A communication efficient boosting method for distributed spectral clustering
- Aug 01, 2026
- Pattern Recognition
- Yingqiu Zhu + 1 more +1
Publications from 2021 to 2026
Showing 10 of 4,056 papers
A communication efficient boosting method for distributed spectral clustering
Steering through scandals: ESG disagreement and corporate strategies
The digital economy and urban-rural income inequality in China: the role of new urbanization
Income inequality is a bottleneck constraining China's sustainable development. The development of the digital economy generates new opportunities to narrow this gap and change the urban-rural dichotomy. Using provincial panel data in China from 2011 to 2020, this study examines the effect of digital economic development on urban–rural income inequality and investigates the moderating and threshold roles of new urbanization. High-dimensional fixed-effects estimates indicate that the digital economy significantly reduces urban-rural income inequality. However, both interaction and threshold regressions reveal pronounced stage dependence: as the level of new-type urbanization rises, the marginal inequality-reducing effect of the digital economy weakens, and the convergence effect is stronger in regions with lower urbanization levels. Regional heterogeneity analysis further shows that this gap-narrowing impact is pervasive nationwide but substantially larger in less developed western regions, suggesting a "latecomer advantage" in capturing digital dividends. Mechanism analysis based on income composition indicates that the digital economy promotes convergence primarily by raising rural wage income and improving the transfer-income structure, while its effects on operating and property income display divergent patterns. Overall, the findings highlight the conditional and structural nature of digital dividends and imply that policies should coordinate digital development with new-type urbanization to enhance rural digital infrastructure, digital skills, and equal access to public services.
Read moreThe lingering shadow: Understanding the long-term impact of natural disasters on social trust.
Rigidity of eigenvalues of shrinking Ricci solitons
LESFuse: A lightweight dual-domain collaborative framework for high-fidelity visible-infrared image fusion
Enabling efficient low-bit quantization based on matrix product operators for KV cache compression.
How trust shapes the fate of natural resources co-management: Applying trust theory to two matsutake-harvesting communities in the S protected area in China
Community-based natural resource governance is often promoted in the name of sustainability, yet long-term outcomes remain elusive. This study examines the impact of various types of trust as the underpinning factor for the long-term resilience of co-management arrangements. Using a four-type trust framework, dispositional, affinitive, rational, and procedural, the study compares trust trajectories across the prior to-, during-, and post-project phases of matsutake mushroom management in two communities within the S National Protected Area, Yunnan Province, China. Drawing on qualitative interviews and comparative case analysis, the study finds that while neither community sustained co-management mechanisms in full, X Village retained partial continuity through embedded procedural and rational trust. In contrast, Y village experienced accelerated institutional decline after project withdrawal, as market changes and weak enforcement undermined collective norms and trust in formal structures. These findings underscore that institutional resilience is shaped not only by institutional design but also by the evolution and interaction of trust types over time. By tracing trust trajectories across project stages, this study contributes a micro-level explanation of how trust mediates post-project governance outcomes. It emphasizes that trust layering, together with the distribution of multiple trust types across actors, enhances institutional resilience, particularly when these trust relations are embedded within local social and institutional practices. The findings highlight the need to consider how co-management strategies can support trust continuity after project withdrawal, particularly by acknowledging the underlying structural conditions that shape trust resilience. • Trust critically shapes co-management outcomes in conservation projects. • Two villages demonstrate divergent post-project governance outcomes despite undergoing similar interventions. • Procedural trust alone is fragile and requires reinforcement from other trust types. • Trust layering and distribution enhance long-term institutional resilience.
Read moreFrom conflict to creativity: US-China trade war and Chinese corporate innovation
Rethinking driver fatigue detection as anomaly identification: A hypergraph-transformer approach