Peking University

Emerging Trends in the Incidence (1999–2022) and Mortality (1999–2023) of Thyroid Cancer in the United States: CDC WONDER Database Study

Background: Thyroid cancer (TC) is a common endocrine malignancy with a rising global incidence. This study examined trends in TC incidence and mortality in the United States over the past two decades. Methods: TC mortality data from 1999-2023 and incidence data from 1999-2022 we...

Development of a teacher-delivered, school-based mental health promotion programme for adolescents in China: a Delphi study

Strengthening social and emotional competencies (SECs) is a promising upstream strategy for adolescent suicide prevention. However, the existing school-based programmes cannot be directly transplanted into the Chinese school environment. It could be attributed to the different ps...

Asynchronous Cross-Modal Dynamic Graph Learning for Intelligent Sensing of AI Computing Infrastructure Expansion

The rapid expansion of artificial intelligence computing infrastructure and the semiconductor industry has made the dynamic sensing of policy planning, technological innovation, capital investment, and physical construction essential for industrial monitoring and resource allocat...

Targeting the immune-metabolic axis reverses orthodontics-induced systemic pathology

Orthodontic treatment corrects various craniofacial malformations primarily through triggering active alveolar bone remodeling, however the potential impacts of this intervention on the systemic immune state have long been insufficiently explored. Here, we show that mechanical fo...

Self-Supervised Multimodal Learning for Preharvest and Postharvest Fruit Quality Assessment Using Images and Environmental Sensors

Fruit preharvest–postharvest quality assessment is essential for precision harvesting, intelligent grading, storage management, and supply-chain loss reduction. However, conventional approaches mainly rely on single-point postharvest inspection and cannot adequately capture the l...

OMVs of Pseudomonas aeruginosa extracted from chronic suppurative otitis media trigger ototoxicity: possible relation to activation of NLRP3 inflammasome

Abstract Background Chronic suppurative otitis media (CSOM) can lead to sensorineural hearing loss (SNHL), but the underlying mechanisms remain incompletely understood. This study aimed to investigate whether the outer membrane vesicles (OMVs) from Pseudomonas aeruginosa ( P.aeru...

The Mediating Role of Self-Compassion in the Relationship Between School Climate and Social Adaptation: A Latent Growth Modeling Approach

This study explores the links between school climate, self-compassion, and social adaptation among Chinese secondary vocational students, focusing on self-compassion’s mediating role. A three-month longitudinal study ( N = 333; 33.3% male) with one-month intervals revealed downwa...

Third-party governance and artificial intelligence for diabetes management in primary health care, China.

Problem: Fragmented primary health care in China fails to tackle the growing burden of noncommunicable diseases. Despite substantial investment, fewer than half of patients with diabetes achieve glycaemic control. Approach: Tianjin's 2020-2023 reform established a public-private...

Environmental and Ecological Fiscal Transfers in China: Design, Performance, and Lessons for Global Environmental Governance

This paper examines the design, implementation, and impact of intergovernmental fiscal transfers for environmental protection and ecological conservation in the People’s Republic of China. It provides a conceptual overview of conditional fiscal transfers, distinguishing between t...

Spatial heterogeneity in the distance-decay pattern of migration: facts and explanation from intercity migration network in China

Although internal migration is increasing rapidly in many developing countries, such as China, little is known about its spatial patterns beyond the general tendency of distance decay. A detailed understanding of the spatial patterns of internal migration is beneficial for addres...

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...