Xi Chen^1,3, Wanru Lin¹, Yuefu Liu^2,*

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 >

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 >

Jialong Zhang¹, Meijuan Yin^2,*, 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 >

Nurfarahin Roslan¹, Massoomeh Hedayati Marzbali^1,*, 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

Jiawei Shi^1,2,3,#, Zhen Wang^1,2,3,#, Ying Bai^1,2,3, Shiying Li^1,2,3, Xin Zhang^1,2,3, Tianshu Liu^1,2,3, Liu Hong^1,2,3, Li Cui^1,2,3, Yi Zhang^1,2,3, Jing Ma^1,2,3, Juanjuan Liu^1,2,3, Jing Zhang^1,2,3, Haiyan Cao^1,2,3,*, Jing Wang^1,2,3,*

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 >

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 >

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 >

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 >

ZHEN WANG¹, JUN FU¹, SAISAI ZHU¹, HAODONG TANG², KUI SHI¹, JIHUA YANG³, MENG WANG³, MENGGE WU¹, DUNFENG QI^1,*

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

MOHD ATHAR^1,*, ANU MANHAS², NISARG RANA², AHMAD IRFAN³

BIOCELL, Vol.48, No.6, pp. 935-944, 2024, DOI:10.32604/biocell.2024.049891 - 10 June 2024

Abstract Computational methods have significantly transformed biomedical research, offering a comprehensive exploration of disease mechanisms and molecular protein functions. This article reviews a spectrum of computational tools and network analysis databases that play a crucial role in identifying potential interactions and signaling networks contributing to the onset of disease states. The utilization of protein/gene interaction and genetic variation databases, coupled with pathway analysis can facilitate the identification of potential drug targets. By bridging the gap between molecular-level information and disease understanding, this review contributes insights into the impactful utilization of computational methods, paving the way for More >