Yue Cui¹, Ziqing Yang², Hao Gao^1,*

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.072986 - 28 January 2026

Abstract Background: In the Chinese context, the impact of short video applications on the psychological well-being of older adults is contested. While often examined through a pathological lens of addiction, this perspective may overlook paradoxical, context-dependent positive outcomes. Therefore, the main objective of this study is to challenge the traditional Compensatory Internet Use Theory by proposing and testing a chained mediation model that explores a paradoxical pathway from social support to life satisfaction via problematic social media use. Methods: Data were collected between July and August 2025 via the Credamo online survey platform, yielding 384 valid responses… More >

Myunghoon Roh¹, Katalin Parti², Diego Gomez-Baya^3,*, Cheryl E. Sanders⁴, Elizabeth K. Englander⁵

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.072605 - 28 January 2026

Abstract Background: Bullying is a current social and educational problem with detrimental consequences in adolescence and later life stages. Previous research has explored the risk or protective factor at different socio-ecological levels, but further integration is needed to examine the relationships of family characteristics. This study examines how parenting style and attachment relate to adolescents’ bullying and cyberbullying, and whether parental phubbing mediates these links. Methods: Grounded in social bonding theory, we surveyed a cross-sectional convenience sample of U.S. college students (N = 545; Mean_age = 19.60, SD = 1.41) who retrospectively reported middle/high-school experiences from Massachusetts, Colorado,… More >

Yang Deng^1,#, Tong Su^1,#, Bin Wu¹, Li Peng², Muyu Chen^1,2,*, Liang Zhang^1,*

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.072327 - 28 January 2026

Abstract Background: Submarine personnel often experience insomnia and reduced psychological resilience due to extended deployments in confined, high-stress environments. Effective non-pharmacological interventions are needed to improve sleep quality and resilience in this population. This study aimed to investigate the effect of virtual reality (VR) combined with forest therapy interventions on psychological resilience and sleep quality among submarine personnel with insomnia symptoms. Methods: Using convenience sampling, 92 submarine personnel with insomnia symptoms undergoing recuperation at a PLA sanatorium between July 2023 and May 2025 were randomly allocated to experimental and control groups (n = 46 each). The control group… More >

Ramazan İnci^1,*, Davut Açar², Osman Tayyar Çelik³, Yunus Tunç⁴

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.072072 - 28 January 2026

Abstract Background: Bullying during adolescence is shaped by numerous psychosocial factors such as family dynamics, attachment, and peer relationships. This study aims to examine parental acceptance-rejection, attachment styles, and social exclusion factors as key psychosocial variables predicting bullying behavior in adolescents. Methods: In a cross-sectional study conducted with 349 high school students in Hakkari, Türkiye. Data were collected using the Olweus Bullying Scale, the Parental Acceptance-Rejection Scale, the Social Exclusion Scale, and the Three-Dimensional Attachment Styles Scale. Independent samples t-tests, one-way ANOVAs, Pearson correlations, and hierarchical regression analyses were performed. Results: Research findings reveal that peer bullying varies… More >

Jimin Chae¹, Youngbin Lym^2,*, Geiguen Shin^2,3,*

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.071482 - 28 January 2026

Abstract Background: Social connection is widely recognized as a protective determinant of health, yet its direct and indirect effects on mental health remain underexplored. This study examines the relationship between social connection and mental health, focusing on the mediating role of quality of life (QoL) and the moderating effect of regional differences. Methods: We analyzed data from the 2019 Korean Community Health Survey, comprising 229,099 adults. Mental health was assessed through validated measures of depressive symptoms and psychological well-being. Social connection was measured using indicators of interpersonal ties and community participation, and QoL was assessed via self-reported… More >

Jinpan Wang^1,#, Yue Yuan^2,#,*

International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.071212 - 28 January 2026

Abstract Background: Childhood leukemia, a malignant proliferative disorder of the hematopoietic system and the most common childhood cancer, poses a significant threat to the lives and health of affected children. For parents, a leukemia diagnosis in their child is a profoundly traumatic event. As primary caregivers, they endure immense psychological distress and caregiving stress throughout the prolonged and demanding treatment process, which can adversely affect their own well-being and caregiving capacity. However, the psychological mechanisms, such as the role of mindfulness, linking caregiver stress to parental coping strategies remain underexplored, and evidence-based interventions to support these parents… More >

Beike Yu, Dafang Wang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.076439 - 29 January 2026

Abstract Scalable simulation leveraging real-world data plays an essential role in advancing autonomous driving, owing to its efficiency and applicability in both training and evaluating algorithms. Consequently, there has been increasing attention on generating highly realistic and consistent driving videos, particularly those involving viewpoint changes guided by the control commands or trajectories of ego vehicles. However, current reconstruction approaches, such as Neural Radiance Fields and 3D Gaussian Splatting, frequently suffer from limited generalization and depend on substantial input data. Meanwhile, 2D generative models, though capable of producing unknown scenes, still have room for improvement in terms… More >

Zuokun Yang¹, Jun Li^1,2,*, Xin Lai^1,2, Lisheng Liu^1,2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.075980 - 29 January 2026

Abstract Peridynamics (PD) demonstrates unique advantages in addressing fracture problems, however, its nonlocality and meshfree discretization result in high computational and storage costs. Moreover, in its engineering applications, the computational scale of classical GPU parallel schemes is often limited by the finite graphics memory of GPU devices. In the present study, we develop an efficient particle information management strategy based on the cell-linked list method and on this basis propose a subdomain-based GPU parallel scheme, which exhibits outstanding acceleration performance in specific compute kernels while significantly reducing graphics memory usage. Compared to the classical parallel scheme,… More >

Mohammed Al-Mahbashi^1,2,*, Ali Ahmed³, Abdolraheem Khader^4,*, Shakeel Ahmad³, Mohamed A. Damos⁵, Ahmed Abdu⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.075909 - 29 January 2026

Abstract Reliable detection of traffic signs and lights (TSLs) at long range and under varying illumination is essential for improving the perception and safety of autonomous driving systems (ADS). Traditional object detection models often exhibit significant performance degradation in real-world environments characterized by high dynamic range and complex lighting conditions. To overcome these limitations, this research presents FED-YOLOv10s, an improved and lightweight object detection framework based on You Only look Once v10 (YOLOv10). The proposed model integrates a C2f-Faster block derived from FasterNet to reduce parameters and floating-point operations, an Efficient Multiscale Attention (EMA) mechanism to More >

Nuh Azginoglu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2026.075834 - 29 January 2026

Abstract Breast cancer screening programs rely heavily on mammography for early detection; however, diagnostic performance is strongly affected by inter-reader variability, breast density, and the limitations of conventional computer-aided detection systems. Recent advances in deep learning have enabled more robust and scalable solutions for large-scale screening, yet a systematic comparison of modern object detection architectures on nationally representative datasets remains limited. This study presents a comprehensive quantitative comparison of prominent deep learning–based object detection architectures for Artificial Intelligence-assisted mammography analysis using the MammosighTR dataset, developed within the Turkish National Breast Cancer Screening Program. The dataset comprises… More >