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  • Open Access

    ARTICLE

    Exploring the Associations between Sedentary Time, Social Support, Social Rejection and Psychological Distress: A Network Analysis in Students

    Yuyang Nie1,2,#, Kunkun Jiang2,3,#, Tianci Wang4, Cong Liu1,2, Kangli Du1,2, Yuxian Cao2, Guofeng Qu2,*, Lijia Hou2,*

    International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.073592 - 28 January 2026

    Abstract Background: Amid the global rise in adolescent sedentary behavior and psychological distress, extant research has largely focused on variable-level associations, neglecting symptom-level interactions. This study applies network analysis, aims to delineate the interconnections among sedentary time, social support, social exclusion, and psychological distress in Chinese students, and to identify core and bridge symptoms to inform targeted interventions. Methods: This study employed a cross-sectional design to investigate the complex relationships among sedentary behavior, social support, social exclusion, and psychological distress among Chinese students. The research involved 459 high school and university students, using network analysis and mediation… More >

  • Open Access

    ARTICLE

    The Chinese Hogg Climate Anxiety Scale (HCAS): Revision and validation integrating classical test theory and network analysis approaches

    Xi Chen1,3, Wanru Lin1, Yuefu Liu2,*

    Journal of Psychology in Africa, Vol.35, No.5, pp. 661-669, 2025, DOI:10.32604/jpa.2025.068787 - 24 October 2025

    Abstract Accurate assessment of climate anxiety is crucial, yet the cross-cultural transportability of existing instruments remains an open question. This study translated and validated the Hogg Climate Anxiety Scale for the Chinese context. A total of 959 students (females = 69.7%; M age = 19.60 years, SD = 1.40 years) completed the Hogg Climate Anxiety Scale, with the Climate Change Anxiety Scale and the Anxiety Presence Subscale served as criterion measures for concurrent validity. Test–retest reliability was evaluated with a subset after one month. Confirmatory factor analysis supported the original four-factor structure and measurement invariance across genders.… More >

  • Open Access

    ARTICLE

    The dynamics of social and psychological capital conversion in career adaptability: A network analysis

    Zhijun Liu*, Junlong Zhang

    Journal of Psychology in Africa, Vol.35, No.5, pp. 575-586, 2025, DOI:10.32604/jpa.2025.067476 - 24 October 2025

    Abstract This study examined the relationships among social support, career decision-making self-efficacy, goal orientation, and career adaptability, highlighting the bridging roles of career decision-making self-efficacy and goal orientation. A total of 1433 Chinese university students (female = 70.7%; urban = 55.3%, mean age = 19.73 years, SD = 1.60 years) completed validated measures of career adaptability, social support, career decision-making self-efficacy, and goal orientation. Network analysis revealed that social support was associated with higher career adaptability indirectly through career decision-making self-efficacy and goal orientation, which function as key bridging mechanisms. Moreover, urban college students demonstrated greater More >

  • Open Access

    ARTICLE

    The Identification of Influential Users Based on Semi-Supervised Contrastive Learning

    Jialong Zhang1, Meijuan Yin2,*, Yang Pei2, Fenlin Liu2, Chenyu Wang2

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 2095-2115, 2025, DOI:10.32604/cmc.2025.065679 - 29 August 2025

    Abstract Identifying influential users in social networks is of great significance in areas such as public opinion monitoring and commercial promotion. Existing identification methods based on Graph Neural Networks (GNNs) often lead to yield inaccurate features of influential users due to neighborhood aggregation, and require a large substantial amount of labeled data for training, making them difficult and challenging to apply in practice. To address this issue, we propose a semi-supervised contrastive learning method for identifying influential users. First, the proposed method constructs positive and negative samples for contrastive learning based on multiple node centrality metrics… More >

  • Open Access

    ARTICLE

    Mapping Access to Green Space in Penang, Malaysia: A GIS-Based Study

    Nurfarahin Roslan1, Massoomeh Hedayati Marzbali1,*, Aldrin Abdullah1, Ang See May2

    Revue Internationale de Géomatique, Vol.34, pp. 553-567, 2025, DOI:10.32604/rig.2025.066073 - 06 August 2025

    Abstract Urban green spaces play a crucial role in improving the well-being of city dwellers, offering recreational benefits that contribute to physical health. However, challenges remain in ensuring these spaces are distributed equitably and are accessible to all. This research examines the distribution and accessibility of green spaces in Bayan Lepas, Penang, Malaysia. The study focuses on evaluating three key factors: (1) the uniformity of green space distribution in the area, (2) the proportion of residents who can access green spaces within a 300-m walk, and (3) the identification of regions that lack sufficient green spaces,… More > Graphic Abstract

    Mapping Access to Green Space in Penang, Malaysia: A GIS-Based Study

  • Open Access

    ARTICLE

    Bioinformatics and In-Silico Findings Reveal Candidate Genes for Tetralogy of Fallot via Integrative Multi-Omics Data

    Jiawei Shi1,2,3,#, Zhen Wang1,2,3,#, Ying Bai1,2,3, Shiying Li1,2,3, Xin Zhang1,2,3, Tianshu Liu1,2,3, Liu Hong1,2,3, Li Cui1,2,3, Yi Zhang1,2,3, Jing Ma1,2,3, Juanjuan Liu1,2,3, Jing Zhang1,2,3, Haiyan Cao1,2,3,*, Jing Wang1,2,3,*

    Congenital Heart Disease, Vol.20, No.2, pp. 213-229, 2025, DOI:10.32604/chd.2025.064950 - 30 April 2025

    Abstract Background: Tetralogy of Fallot (TOF), the predominant cyanotic congenital heart defect, arises from multifactorial gene-environment interactions disrupting cardiac developmental networks. This study investigated TOF-specific transcriptional alterations and identified high-confidence candidate genes. Methods: Based on GSE36761 transcriptome data, a weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network were conducted to identify TOF-related sub-network and Hub genes. The potential biological functions among these genes were revealed by enrichment analysis. Genetic, epigenetic and transcriptional alteration in the Hub genes were analyzed with leveraged public resources: a methylation dataset (GSE62629) and two single-cell datasets (EGAS00001003996 and GSE126128). Results:More >

  • Open Access

    ARTICLE

    Psychometric Properties of the Shortened Committed Action Questionnaire (CAQ-8): Evidence from Classical Test Theory and Network Analysis

    Haiyan Hu, Shuanghu Fang*, Qilin Zheng, Dongyan Ding

    International Journal of Mental Health Promotion, Vol.27, No.1, pp. 65-76, 2025, DOI:10.32604/ijmhp.2024.059324 - 31 January 2025

    Abstract Objectives: This study aimed to assess the reliability and validity of the abbreviated Committed Action Questionnaire (CAQ-8) in a cohort of 1635 Chinese university students. Methods: Participants completed the Chinese version of the CAQ-8 along with other standardized measures, including the Acceptance and Action Questionnaire-II (AAQ-II), the Valuing Questionnaire (VQ), the Satisfaction with Life Scale (SWLS), the Depression Anxiety Stress Scales (DASS-21), and the World Health Organization Five-item Well-Being Index (WHO-5). A retest was conducted one month later with 300 valid responses. Results: Exploratory factor analysis (n = 818) identified a 2-factor structure, confirmed through validated… More >

  • Open Access

    ARTICLE

    Application of Fuzzy-AHP in GIS in Finding E-Scooter Trail for Street Art

    Muhammad Salahuddin Mohamad Shahrul Annuar, Nabilah Naharudin*, Nur Aina Adiela Azmi, Nafisah Khalid

    Revue Internationale de Géomatique, Vol.34, pp. 53-69, 2025, DOI:10.32604/rig.2025.058078 - 13 January 2025

    Abstract Tourism trails connect destinations, points of interest, and travel-related businesses. By enhancing connectivity, these trails reduce travel time, allowing tourists to maximize their exploration of sites, leading to more efficient and satisfying travel experiences. The rising popularity of e-scooters in urban areas has highlighted the need to identify safe and accessible routes, particularly in cities where safety concerns have led to restrictions. Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) network analysis can be employed to determine optimal paths by considering multiple criteria. This study focuses on finding an optimal street art trail for… More >

  • Open Access

    ARTICLE

    Network Structure and Variability of Recurrence Fear in Early-Stage Non-Small Cell Lung Cancer: A Symptom Network Analysis

    Lu Liu#, Zhuoheng Lv#, Yousheng Mao, Yan Liu*, Man Liu*

    Psycho-Oncologie, Vol.18, No.4, pp. 317-328, 2024, DOI:10.32604/po.2024.053678 - 04 December 2024

    Abstract Background: Lung cancer, one of the most prevalent and deadly malignancies worldwide, not only poses a significant physical burden but also a profound psychological challenge to patients. Among these psychological challenges, the fear of recurrence stands out as a particularly distressing issue. This fear, often rooted in the patients’ past experiences with the disease and its treatment, can significantly impact their quality of life, mental health, and even compliance with follow-up care. Moreover, this fear can be exacerbated by the lack of understanding and support from healthcare professionals and family members, further isolating patients and… More >

  • Open Access

    ARTICLE

    Identification of M2 macrophage-related genes for establishing a prognostic model in pancreatic cancer: FCGR3A as key gene

    ZHEN WANG1, JUN FU1, SAISAI ZHU1, HAODONG TANG2, KUI SHI1, JIHUA YANG3, MENG WANG3, MENGGE WU1, DUNFENG QI1,*

    Oncology Research, Vol.32, No.12, pp. 1851-1866, 2024, DOI:10.32604/or.2024.055286 - 13 November 2024

    Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) has a rich and complex tumor immune microenvironment (TIME). M2 macrophages are among the most extensively infiltrated immune cells in the TIME and are necessary for the growth and migration of cancers. However, the mechanisms and targets mediating M2 macrophage infiltration in pancreatic cancer remain elusive. Methods: The M2 macrophage infiltration score of patients was assessed using the xCell algorithm. Using weighted gene co-expression network analysis (WGCNA), module genes associated with M2 macrophages were identified, and a predictive model was designed. The variations in immunological cell patterns, cancer mutations, and… More > Graphic Abstract

    Identification of M2 macrophage-related genes for establishing a prognostic model in pancreatic cancer: <i>FCGR3A</i> as key gene

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