The successful adjustment of international students to the new environment depends on their ability to interact effectively with the external environment. However, the literature has not yet provided a clear understanding of how the support provided by host universities affects the academic achievement and cultural adaptation of international students, particularly in longitudinal studies involving students from different countries and regions in China. Based on Student-centered Learning Engagement framework, this study developed and tested a model composed of three variables—university support, academic achievement and cultural adaptation, and collected data from South Asian students at Chinese universities from 2017 to 2019 through questionnaires. The findings revealed that university support significantly affected cultural adaptation through academic achievement. The study suggests that Chinese universities should provide appropriate levels of support for international students to achieve positive academic outcomes, and to better understand and adapt to the universities, societies, and cultures.
Mycosis fungoides is characterized by widespread skin patches that may progress to plaques and tumors, necessitating precise tumor burden assessment for staging and treatment guidance. However, existing methods, including the widely accepted modified Severity Weighted Assessment Tool (mSWAT), present significant challenges in routine practice owing to their time-consuming nature and interobserver variability. This study developed an artificial intelligence model, mSWAT-Net, to estimate mSWAT scores using clinical images of patients with mycosis fungoides. Notably, the overlap area segmentation submodule of mSWAT-Net addressed double-counting errors in multiangle photos through training on 3904 annotated images generated from 61 three-dimensional human images. Across 2463 standardized full-body photographs from 134 imaging series, mSWAT-Net demonstrated performance comparable with that of experienced cutaneous lymphoma specialists, achieving intraclass correlation coefficients of 0.917 (internal validation) and 0.846 (temporal validation) for mSWAT score. Moreover, mSWAT-Net outperformed 3 junior dermatologists in image-based scoring (intraclass correlation coefficient = 0.917 vs 0.777) and demonstrated robust performance when compared with ground truth derived from 3-dimensional patient imaging (intraclass correlation coefficient = 0.812). Finally, mSWAT-Net was deployed as a free web application to support mycosis fungoides management in clinical settings. These findings highlight the potential of mSWAT-Net as an accurate, automated clinical tool for facilitating patient follow-up, treatment monitoring, and remote consultations.
Volatile elements are essential for life development and planetary evolution. However, the timing of their delivery to terrestrial planets remains unclear. Sulfur, selenium, and tellurium are volatiles, but also siderophile elements. Their abundances in Earth’s mantle can be used to determine whether volatile elements were delivered to Earth during or after the segregation of the core. Here, we experimentally measured their partition coefficients between core-forming metal and mantle silicate under pressure, temperature, and oxygen fugacity conditions relevant to a deep magma ocean. Our results show that these elements exhibit similar partitioning behaviors, indicating that core-mantle equilibrium preserves their chondritic relative abundances. If a volatile-rich late veneer has been delivered to Earth after core segregation, it must have been limited in mass, making up a maximum of 0.1% Earth’s mass. This suggests that volatile elements, including water, were accreted continuously during Earth’s growth rather than being delivered predominantly by a late veneer of volatile-rich material such as carbonaceous chondrites.
This longitudinal study investigates the structure, developmental trends, and well-being implications of values among Chinese adolescents – a large, culturally distinctive population undergoing rapid social change. We conducted a large-scale, two-wave longitudinal study (Wave 1: N = 69,115; M = 12.74 ± 2.25 years; 49.84% girls; Wave 2: N = 45,762; M = 12.98 ± 2.22 years; 50.53% girls; with 45,762 students participating in both waves) across a 6-month interval. A three-factor structure of adolescent values emerged: Collective Altruism, Individual Initiative, and Individual Hedonism. Results revealed distinct developmental trajectories: Collective Altruism declined slightly, while Individual Hedonism increased, both stabilizing around mid-adolescence (age~15)—a developmental inflection point in value orientation. Cross-lagged models demonstrated small but significant reciprocal positive associations between Collective Altruism, Individual Initiative, and well-being, while Individual Hedonism showed a small but significant negative association with subsequent well-being. These findings support the theoretical framework of contextually healthy values—value orientations that are culturally normative and developmentally adaptive. This study also provides valuable insights for promoting adolescent mental health and positive development in rapidly modernizing contexts.
Alumni relationships are essential social capital that are significant in companies’ resource acquisition and information sharing. Using 2018 data from Chinese listed companies, this study examines the impact of the chairperson–alumni network on corporate artificial intelligence (AI) adoption. The results show that chairperson–alumni relations are positively associated with AI adoption. Moreover, the impact of chairperson–alumni networks on AI adoption may span industrial, administrative, and geographical boundaries. This study shows that chairperson–alumni networks can indirectly influence AI adoption by influencing board size. Finally, this study demonstrates the heterogeneity of the impact of the chairperson–alumni network on AI adoption.
Traditional polysomnography (PSG) systems are limited by cumbersome hardware, inefficient clinical workflows, and significant patient discomfort, hindering accurate characterization of natural sleep. Here, we present a wearable sleep-breathing monitoring system based on a printed electronic skin (E-skin) sensor that enables comfortable, high-fidelity, and home-viable respiratory assessment. The device employs a resistive eutectic gallium-indium-tin (EGaInSn) liquid-metal sensing layer screen-printed onto a flexible thermoplastic polyurethane (TPU) substrate, offering stable sensitivity over a broad dynamic range, mechanical robustness, and seamless skin conformability for long-term wear. A six-channel sensing network was implemented to capture thoracic and abdominal respiratory dynamics across diverse sleeping positions. Comprehensive clinical validation was conducted against gold-standard PSG, with respiratory events independently scored by Registered Polysomnographic Technologists (RPSGTs) under single-blind conditions. The system demonstrates high concordance with PSG in identifying obstructive and central sleep apnea, hypopnea, Cheyne–Stokes respiration, and respiratory rate abnormalities. By integrating flexible electronics and clinically aligned signal interpretation, this work advances wearable health technologies from conventional physiological monitoring toward credible diagnostic capability, providing a practical solution for continuous, accurate evaluation of sleep-related breathing disorders.