Renmin University of China

From creation to dissemination: a lifecycle-based evaluation of AI guidance policies in health-related journals

Abstract Background The rapid integration of generative artificial intelligence into health sciences research has prompted major advisory bodies to establish ethical guidelines governing AI use in scholarly publishing. However, practical implementation at the journal level remain...

Deviation-aware digital twin-enabled joint user association and task partitioning for industrial IoT offloading

Latency-critical industrial Internet of Things (IIoT) applications outstrip on-device computing capability, yet digital twin (DT)-assisted multi-access edge computing (MEC) is typically modeled as a perfectly synchronized mirror and treats edge association and task partitioning s...

Mixed‐Dimensional 1D/2D Ternary CMOS for High‐Performance Integrated Circuits

ABSTRACT Ternary logic offers a path to higher information density and lower power consumption beyond the limits of binary CMOS, yet its progress has been limited by the absence of high‐performance ternary transistors and scalable circuit technologies. Here we report a mixed‐dime...

Conceptions of GenAI-assisted learning among university students with different levels of self-perceived AI literacy: a drawing-based content analysis and epistemic network analysis

As generative artificial intelligence (GenAI) becomes increasingly prevalent in higher education, understanding how students conceptualize its role in learning has become an important issue in AI education research. Existing studies have examined learning outcomes, usage intentio...

Icarus in the Digital Economy: Navigating the Dual Impact of Platform Adoption on Manufacturing Profit Rates

ABSTRACT Using data from China's manufacturing firms (2011–2020), this study examines how digital platform adoption affects profit rates through two opposing mechanisms. The positive “turnover acceleration effect” enhances efficiency and reduces circulation time, while the negati...

An integrated land-use reclassification and scenario-simulation analysis of land system dynamics in China

Abstract Context Land-system change reshapes landscapes, but its ecological consequences depend on land-use type, management, and disturbance, not vegetation cover alone. Conventional land-cover classes obscure ecologically distinct uses and cannot consistently link past and proj...

Tiered diagnosis and value-based healthcare: can the outpatient reimbursement policy for medical costs in retail pharmacies promote both?

Amid growing health demands and tight welfare budgets, guiding rational healthcare-seeking behavior to improve health while controlling costs has become a global challenge. This study aims to examine whether the reform of medical insurance on the cost-sharing of pharmacy can prom...

Tail risk of Bitcoin and major cryptocurrencies: a distributional and extreme-value analysis

Abstract We study the distributional and tail-risk properties of Bitcoin and the major cryptocurrencies using daily returns from June 2014 to May 2026. For a panel of 10 assets we fit a family of heavy-tailed distributions by maximum likelihood, rank them by the Akaike and Bayesi...

RKHS-Based Latent Position Random Graph Correlation

We study the problem of evaluating the correlation between two latent position random graphs, which is a challenging issue because the latent positions are generally unobservable in random graphs. We introduce a correlation coefficient that is defined in the reproducing kernel Hi...

The industry–energy–population triple transformation and its pathways to environmental sustainability

With global climate action lagging behind and record-breaking heat waves occurring with increasing frequency, China’s role in achieving the temperature control targets of the Paris Agreement has become increasingly critical. As the world’s largest carbon emitter, the pace, trajec...

120-year spatiotemporal evolution of water–settlement interactions in Xinjiang, China

Understanding the long-term co-evolution of water systems and human settlements in arid regions is essential for water security and climate-adaptive planning. This study reconstructs the spatiotemporal dynamics of hydrographic network density (HND) and settlement density (SED) in...

Ridge Regression Outperforms Optimal Hard Sample-PC Selection in High-Dimensional Isotropic Gaussian Models

We study response-guided selection of sample principal components in isotropic Gaussian linear models with dimension proportional to sample size. Under an exact-cardinality constraint, we derive the risk-minimizing rule among coordinatewise binary selectors based on each sample e...

Ridge Regression Outperforms Optimal Hard Sample-PC Selection in High-Dimensional Isotropic Gaussian Models

We study response-guided selection of sample principal components in isotropic Gaussian linear models with dimension proportional to sample size. Under an exact-cardinality constraint, we derive the risk-minimizing rule among coordinatewise binary selectors based on each sample e...

A dual-pathway toward livelihood resilience in China’s Giant Panda National Park communities

Globally, communities in and around protected areas often confront livelihood disruptions driven by conservation and development pressures, making resilience essential to effective governance. This study examines two pathways to livelihood resilience in communities within and at...

Can information backfire? How corruption experience and media information shape anti-corruption willingness

A persistent gap exists between anti-corruption information dissemination and citizens’ responses, raising questions about how anti-corruption willingness is formed. This study develops a theoretical framework linking corruption experience as an individual frame with media inform...

AI Technology Readiness, Trust, and Supervisor Academic Support in Relation to Graduate Students’ Research Self-Efficacy

Research self-efficacy (RSE) is critical for graduate students. However, how emerging AI technologies shape RSE remains unclear. Grounded in the Technology Readiness Index (TRI) and Social Cognitive Theory, this study examined how AI technology readiness, AI trust, and supervisor...

Machine learning-based fall risk prediction in community-dwelling older adults using dual-task spatiotemporal gait parameters

With global aging, falls have become a major threat to geriatric health. Traditional clinical assessments often suffer from a “ceiling effect,” failing to detect subtle motor impairments in high-functioning older adults. Moreover, steady-state gait analysis lacks ecological valid...