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  • Open Access

    ARTICLE

    The Relationship between Parental Marital Conflict and Adolescent Short Video Dependence: A Chain Mediation Model

    Lei Yang, Yang Liu*

    International Journal of Mental Health Promotion, Vol.28, No.1, 2026, DOI:10.32604/ijmhp.2025.073529 - 28 January 2026

    Abstract Background: This study aims to investigate the underlying mechanisms between parental marital conflict and adolescent short video dependence by constructing a chain mediation model, focusing on the mediating roles of experiential avoidance and emotional disturbance (anxiety, depression, and stress). Methods: Conducted in January 2025, the research recruited 4125 adolescents from multiple Chinese provinces through convenience sampling; after data cleaning, 3957 valid participants (1959 males, 1998 females) were included. Using a cross-sectional design, measures included parental marital conflict, experiential avoidance, anxiety, depression, stress, and short video dependence. Results: Pearson correlation analysis revealed significant positive correlations among all variables.… More >

  • Open Access

    ARTICLE

    MDGET-MER: Multi-Level Dynamic Gating and Emotion Transfer for Multi-Modal Emotion Recognition

    Musheng Chen1,2, Qiang Wen1, Xiaohong Qiu1,2, Junhua Wu1,*, Wenqing Fu1

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071207 - 12 January 2026

    Abstract In multi-modal emotion recognition, excessive reliance on historical context often impedes the detection of emotional shifts, while modality heterogeneity and unimodal noise limit recognition performance. Existing methods struggle to dynamically adjust cross-modal complementary strength to optimize fusion quality and lack effective mechanisms to model the dynamic evolution of emotions. To address these issues, we propose a multi-level dynamic gating and emotion transfer framework for multi-modal emotion recognition. A dynamic gating mechanism is applied across unimodal encoding, cross-modal alignment, and emotion transfer modeling, substantially improving noise robustness and feature alignment. First, we construct a unimodal encoder More >

  • Open Access

    ARTICLE

    Speech Emotion Recognition Based on the Adaptive Acoustic Enhancement and Refined Attention Mechanism

    Jun Li1, Chunyan Liang1,*, Zhiguo Liu1, Fengpei Ge2

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.071011 - 12 January 2026

    Abstract To enhance speech emotion recognition capability, this study constructs a speech emotion recognition model integrating the adaptive acoustic mixup (AAM) and improved coordinate and shuffle attention (ICASA) methods. The AAM method optimizes data augmentation by combining a sample selection strategy and dynamic interpolation coefficients, thus enabling information fusion of speech data with different emotions at the acoustic level. The ICASA method enhances feature extraction capability through dynamic fusion of the improved coordinate attention (ICA) and shuffle attention (SA) techniques. The ICA technique reduces computational overhead by employing depth-separable convolution and an h-swish activation function and More >

  • Open Access

    ARTICLE

    Efficient Video Emotion Recognition via Multi-Scale Region-Aware Convolution and Temporal Interaction Sampling

    Xiaorui Zhang1,2,*, Chunlin Yuan3, Wei Sun4, Ting Wang5

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.071043 - 09 December 2025

    Abstract Video emotion recognition is widely used due to its alignment with the temporal characteristics of human emotional expression, but existing models have significant shortcomings. On the one hand, Transformer multi-head self-attention modeling of global temporal dependency has problems of high computational overhead and feature similarity. On the other hand, fixed-size convolution kernels are often used, which have weak perception ability for emotional regions of different scales. Therefore, this paper proposes a video emotion recognition model that combines multi-scale region-aware convolution with temporal interactive sampling. In terms of space, multi-branch large-kernel stripe convolution is used to More >

  • Open Access

    ARTICLE

    ChatGPT, Loneliness, and Well-Being among International PhD Students in Malaysia: A Mixed-Methods Study

    Tianyu Zhao1, Xiaoli Zhao2, Kenny S. L. Cheah3,*, Ye Zhang3

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 2023-2038, 2025, DOI:10.32604/ijmhp.2025.071322 - 31 December 2025

    Abstract Background: Despite access to university counseling services, many students underutilize them due to cultural stigma, language barriers, and perceived irrelevance. As a result, ChatGPT has emerged as an informal, always-available support system. This study investigates how international PhD students in Malaysia navigate loneliness, mental well-being, and social disconnection through interactions with Generative AI (mainly ChatGPT. Methods: Using a mixed-methods design, the study surveyed 155 international doctoral students and analyzed quantitative responses across four dimensions: loneliness, well-being (WHO-5), perceived social support, and AI-facilitated emotional support. Additionally, open-ended responses were examined using Latent Dirichlet Allocation (LDA) to identify… More >

  • Open Access

    ARTICLE

    Determining the Emotions and Views of Patients with Post-Cesarean Surgical Site Infection: A Qualitative Study

    Elçin Alaçam1,*, Mualla Yılmaz2

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1989-2005, 2025, DOI:10.32604/ijmhp.2025.071033 - 31 December 2025

    Abstract Background: Post-cesarean surgical site infection is a frequent complication with significant consequences for maternal, physical, and psychological well-being. This study explored women’s lived experiences of post-cesarean surgical site infection, focusing on emotional responses, treatment experiences, and perceived psychosocial impact. Methods: A qualitative study was conducted using thematic analysis of semi-structured interviews with 23 patients hospitalized due to post-cesarean surgical site infection, selected through purposeful sampling between 15 August 2022, and 15 January 2024. Results: The mean age of the participants in the study was 28.69 ± 5.07 years. Of them, 13 were high school graduates, and 22… More >

  • Open Access

    ARTICLE

    Childhood emotional abuse and adolescent depression: The mediating role of resilience and self-efficacy

    Zhenhong Wang1,2, Hailong Wu3,*

    Journal of Psychology in Africa, Vol.35, No.6, pp. 863-869, 2025, DOI:10.32604/jpa.2025.073522 - 30 December 2025

    Abstract We examined the direct relationship between childhood emotional abuse and depression in adolescents and the mediating roles of resilience and self-efficacy in that relationship. Using a cross-sectional study design, 636 Chinese adolescents (Girls = 48.6%, mean years of service = 15.8, SD = 1.9) completed the Childhood Trauma Questionnaire (CTQ), the Ego-Resiliency Scale (ERS), the General Self-Efficacy Scale (GSES), and the Patient Health Questionnaire-9 (PHQ-9). Mediation analysis revealed that childhood emotional abuse significantly predicted higher levels of depression. Moreover, resilience and self-efficacy were found to mediate this relationship both independently and sequentially. Specifically, resilience accounted More >

  • Open Access

    ARTICLE

    Leader workaholism and employee work fatigue: The role of emotional exhaustion and family support

    Wenjie Qiu1, Jiyuan Wang2, Zheng Zhang3,*

    Journal of Psychology in Africa, Vol.35, No.6, pp. 815-823, 2025, DOI:10.32604/jpa.2025.070151 - 30 December 2025

    Abstract This study examined emotional exhaustion and family support in the relationship between leader workaholism and employee work fatigue. The participants were 408 employed adults (74% female, age range 25 to 27 years) across five industries: sales (31.65%), finance (25.32%), education (20.25%), public administration (12.66%), and technology (10.13%), from 79 work teams in China. Survey data were collected at three time points over a three-month period. The results from structural equation modeling indicated that leader workaholism was associated with higher employee work fatigue. Emotional exhaustion mediated the relationship, contributing to higher levels of employee fatigue. Furthermore, More >

  • Open Access

    ARTICLE

    Communication Barriers, Emotional Distress and Mental Health Promotion in Cancer Care: Insights from Rural China

    Su Li1, Nooreen Noordin2, Dan Wang3,*

    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 >

  • Open Access

    ARTICLE

    Determining Dynamic Influence of Human and Machine System on Live-Streaming Addiction: Critical Mediating Mechanisms of Emotional and Functional Attachment

    Hua Pang*, Xiaoyi Jin

    International Journal of Mental Health Promotion, Vol.27, No.11, pp. 1709-1728, 2025, DOI:10.32604/ijmhp.2025.070803 - 28 November 2025

    Abstract Background: Live streaming has become a globally prevalent form of digital entertainment, particularly among young audiences, fostering new modes of online engagement through real-time interaction. However, excessive use may lead to addictive behaviors in certain users. Current research on live-streaming addiction remains limited, with prior studies focusing primarily on socio-psychological drivers rather than the role of technological affordances. To address this gap, this study develops a conceptual model based on socio-technical systems and attachment theory to investigate how emotional and functional attachment mediate the relationship between platform features and addictive behavior. Methods: A total of 533… More >

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