Yue Ma^1,2, Douwen Qin^1,2, Weiqiang Liu^1,2, Xiuting Ju^1,2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.11, pp. 3527-3538, 2025, DOI:10.32604/phyton.2025.069643 - 01 December 2025

Abstract Comprehensive evaluation based on mineral element content is one of the effective methods for the exploration and utilization of wild tulip germplasm resources. In this study, Tulipa iliensis, Tulipa tianschanica and Tulipa heterophylla distributed in China were used as the research objects. The contents of 10 mineral elements (N, K, P, S, Ca, Mg, Cu, Zn, Fe, Mn) in roots, bulbs and leaves were determined, and the three wild tulips were comprehensively evaluated by correlation analysis, principal component analysis and cluster analysis. The results showed distinct variations in mineral element content among different organs of T. iliensis, T. tianschanica and T.… More >

Su Li¹, Nooreen Noordin², Dan Wang^3,*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1797-1812, 2025, DOI:10.32604/ijmhp.2025.072301 - 28 November 2025

Abstract Background: Communication barriers are a critical yet underexplored determinant of psychological well-being in oncology care, particularly among rural Chinese patients treated in urban hospitals. This study examined how Mandarin proficiency influences emotional distress and identified implications for mental health promotion. Methods: A sequential mixed-methods design was adopted. Quantitative data were collected from 180 rural cancer patients using the Putonghua Proficiency Test (PSC), the Hospital Anxiety and Depression Scale (HADS), and the Distress Thermometer (DT). Multiple linear regressions estimated covariate-adjusted associations between Mandarin proficiency and distress outcomes, controlling for demographic and clinical factors. Semi-structured interviews with 20… More >

Zhe He¹, Yaning Zhang^2,*

International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1747-1768, 2025, DOI:10.32604/ijmhp.2025.070491 - 28 November 2025

Abstract Background: Depression represents a significant global mental health burden, particularly among middle-aged and older Chinese with chronic diseases in high-altitude regions, where harsh environmental conditions and limited social support exacerbate mental health disparities. This paper aims to develop an interpretable machine learning prediction framework to identify the key factors of depression in this vulnerable population, thereby proposing targeted intervention measures. Methods: Utilizing data from the China Health and Retirement Longitudinal Study in 2020, this paper screened out and analyzed 2431 samples. Subsequently, Recursive Feature Elimination and Least Absolute Shrinkage and Selection Operator were applied to screen… More >

Hao Yue¹, Di Gao², Jin Gao¹, Chengmei Wei¹, Jiali Duan³, Shaocheng Mei^3,*

Energy Engineering, Vol.122, No.12, pp. 5091-5109, 2025, DOI:10.32604/ee.2025.069140 - 27 November 2025

Abstract Against the backdrop of regional coordinated development and China’s “dual carbon” strategic objectives, the Beijing-Tianjin-Hebei (BTH) region faces an urgent need to transition from its traditional economic growth model, which is heavily reliant on resource consumption. This study investigates the decoupling dynamics among economic growth, energy consumption, and carbon emissions in the BTH region, along with the underlying driving forces, aiming to provide valuable insights for achieving the “dual carbon” targets and fostering high-quality regional development. First, the Tapio decoupling model is employed to analyze the decoupling relationships between economic growth, energy consumption, and carbon… More >

Xiao Li^*, Junxiang Liu, Weinan Fan, Shiying Xu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-2, 2025, DOI:10.32604/icces.2025.012285

Abstract With global warming, the frequency of extreme precipitation events is continuously increasing. The Pearl River Basin is an important region for agricultural production and population concentration in China. Extreme precipitation events have significant impacts on various aspects such as agriculture, transportation, and water resources in this region. The ERA5 reanalysis dataset is a global atmospheric reanalysis product with high spatial and temporal resolution, as well as diverse meteorological information, offering substantial research value for basin weather forecasting and climate change studies. Based on daily precipitation data from 71 meteorological stations in the Pearl River Basin… More >

Yang Jia^1,2, Yanyan Zhang^1,*

Journal of Psychology in Africa, Vol.35, No.3, pp. 385-392, 2025, DOI:10.32604/jpa.2025.068041 - 31 July 2025

Abstract This study investigated the political, economic, social, and cultural environment perceptions on international students that define their acculturation and health related quality of life. Participants were 117 international students from 32 countries attending a Chinese university (females = 43%, mean age = 21.17 years, SD = 4.45 years). They reported on their acculturation to China and physical and psychological well-being. Results from t-tests and correlation analyses indicate political liberals had more positive attitudes toward China than the conservatives, and higher self-reported physical and psychological results. Higher scores on the “interdependence” dimension of self-construal, as well as More >

Jin Peng, Jiabei He^*, Na Li^*

International Journal of Mental Health Promotion, Vol.27, No.7, pp. 953-977, 2025, DOI:10.32604/ijmhp.2025.066405 - 31 July 2025

Abstract Background: Parenting exerts a profound influence on children’s mental health and behavioral development. Despite the high prevalence of children’s emotional and behavioral problems (CEBP) in China, evidence-based parenting interventions remain scarcely investigated as preventive public health strategies. This pilot study evaluated a school-based intervention for preventing CEBP. Methods: We employed a quasi-experimental design with propensity score matching (PSM) to select 28 families (intervention: n = 13; control: n = 15) from two matched urban primary schools. Quantitative data from seven validated scales were analyzed using t-tests and ANCOVA. Qualitative insights were derived from 10 semi-structured interviews… More >

Qun Ma¹, Zhimin Liu¹, Quanlai Zhou¹, Wei Liang^1,*, Jing Wu^2,*

Phyton-International Journal of Experimental Botany, Vol.94, No.7, pp. 2183-2194, 2025, DOI:10.32604/phyton.2025.067807 - 31 July 2025

Abstract The Leymus chinensis grassland is one of the most widely distributed associations in the warm temperate grassland and due to overgrazing in recent years, it has experienced varying degrees of degradation. Vegetative regeneration via bud banks serves as the primary way of vegetation reproduction in the L. chinensis grassland ecosystem. However, the role of the bud bank in the vegetation regeneration of grazing grassland remains unclear. Based on the relationship between the under-ground bud bank and above-ground vegetation of L. chinensis grassland under different grazing stages, this study aimed to explore whether the grazing grassland could self-recover through… More >

Li Ling^*, Danhao Song, Qianlong Hu, Zihao Xiang, Zeyu Zhang

Energy Engineering, Vol.122, No.8, pp. 3309-3328, 2025, DOI:10.32604/ee.2025.065824 - 24 July 2025

Abstract Rack-level loop thermosyphons have been widely adopted as a solution to data centers’ growing energy demands. While numerous studies have highlighted the heat transfer performance and energy-saving benefits of this system, its economic feasibility, water usage effectiveness (WUE), and carbon usage effectiveness (CUE) remain underexplored. This study introduces a comprehensive evaluation index designed to assess the applicability of the rack-level loop thermosyphon system across various computing hub nodes. The air wet bulb temperature T_a,w was identified as the most significant factor influencing the variability in the combination of PUE, CUE, and WUE values. The results indicate… More >

Xuesong Xing¹, Li Wang¹, Guangai Wu¹, Chengyong Peng^1,2,3, Yanan Hou¹, Jingyu Zi¹, Biao Yin^2,3,*

Energy Engineering, Vol.122, No.7, pp. 2911-2930, 2025, DOI:10.32604/ee.2025.065384 - 27 June 2025

Abstract Hydraulic fracturing, an effective method for enhancing coal seam productivity, largely determines coalbed methane (CBM) production, which is significantly influenced by geological and engineering factors. This study focuses on the L block to investigate the mechanisms influencing efficient fracture propagation and enhanced stimulated reservoir volume (SRV) in fracturing. To explore the mechanisms influencing effective fracture propagation and enhanced SRV, the L block was selected as the research object, with a comprehensive consideration of geological background, reservoir properties, and dynamic production data. By combining the discrete lattice method with numerical analysis and true triaxial experimental simulation,… More >