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  • 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

    A Qualitative Analysis of Emotions among Rescue and Recovery Workers Responding to the Oklahoma City Bombing

    E. Whitney Pollio1,*, David E. Pollio2, Carol S. North3,4

    International Journal of Mental Health Promotion, Vol.27, No.10, pp. 1483-1495, 2025, DOI:10.32604/ijmhp.2025.067755 - 31 October 2025

    Abstract Objectives: At the time of the bombing of the federal building in Oklahoma City, Oklahoma (OKC), it was the deadliest terrorist attack in the United States of America. Available research on this incident, and in general, has been quantitative, using deductive methods. The purpose of the current study was to systematically examine professional disaster response workers’ emotions elicited spontaneously and in detail as they were experienced over time after a major disaster. This qualitative study will add to existing knowledge of psychopathology and the psychosocial effects of disasters on professional responders, which have not been… More >

  • Open Access

    ARTICLE

    Perceived teacher autonomy support and college students’ creativity: The mediating role of academic engagement and the moderating role of emotions

    Xiao Huang1,*, Suqing Chen2, Fairuz A’dilah Binti Rusdi1

    Journal of Psychology in Africa, Vol.35, No.5, pp. 641-650, 2025, DOI:10.32604/jpa.2025.066349 - 24 October 2025

    Abstract This study examined the perceived teacher autonomy support effects on college students’ creativity, and the role of academic engagement and affect (positive and negative emotions) in that relationship. The study sample comprised 637 undergraduates (366 females, 271 males). Results from structural equation modelling with a moderated mediation framework indicated that perceived teacher autonomy support positively predicted college students’ self-reported creativity. Academic engagement partially mediated the relationship between autonomy support and creativity, whereby higher perceived autonomy support predicted greater academic engagement, which subsequently promoted creativity. Both positive and negative emotions strengthened the link between autonomy support More >

  • Open Access

    ARTICLE

    Psychological capital and positive academic emotions as mediators between school connectedness and academic engagement

    Niya Chen1,#, Lei Ren2,3,#, Xinyi Wei4, Yaning Guo5, Chuanjun Liu1, Li Guo5, Yinchuan Jin5,6,*

    Journal of Psychology in Africa, Vol.35, No.5, pp. 635-640, 2025, DOI:10.32604/jpa.2025.065773 - 24 October 2025

    Abstract This study utilized a mediation model to examine the role of psychological capital and positive academic emotions in the relationship between school connectedness and academic engagement in adolescents. A sample of 389 Chinese adolescents (Mage = 13.43; 51.2% females) completed the Utrecht Work Engagement Scale-Student (UWES-S), the Achievement Emotions Questionnaire (AEQ), the Positive Psychological Capital Scale (PPCS), and the School Connectedness Scale (SCS). Structural equation modeling analysis yielded findings to suggest that higher school connectedness is associated with academic engagement. Psychological capital was associated with positive emotions, and higher psychological capital partially mediated the relationship between More >

  • Open Access

    ARTICLE

    The Moderating Role of Control Strategies on the Relationship between Negative Emotions and QoL in the Elderly: A Longitudinal Study

    Ran Ma1,#, Chunyang Zhang2,#, Wei Xu1,*

    International Journal of Mental Health Promotion, Vol.27, No.4, pp. 469-483, 2025, DOI:10.32604/ijmhp.2025.060351 - 30 April 2025

    Abstract Background: Maintaining optimal quality of life (QoL) is a pivotal for “successful aging”. Understanding how the QoL of the elderly develops and what role psychological factors play in its development will help improve QoL from a psychological perspective. Embedded within the lifespan theory of control, this longitudinal study aimed to (1) map the temporal trajectory of QoL among Chinese older adults, (2) examine differential effects of tripartite negative emotions (stress, anxiety, depression), and (3) test the moderating role of control strategies (goal engagement, goal disengagement, self-protection) in emotion-QoL dynamics. Method: A prospective cohort of 345 community-dwelling… More >

  • Open Access

    ARTICLE

    Enhancing Emotional Expressiveness in Biomechanics Robotic Head: A Novel Fuzzy Approach for Robotic Facial Skin’s Actuators

    Nguyen Minh Trieu, Nguyen Truong Thinh*

    CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.1, pp. 477-498, 2025, DOI:10.32604/cmes.2025.061339 - 11 April 2025

    Abstract In robotics and human-robot interaction, a robot’s capacity to express and react correctly to human emotions is essential. A significant aspect of the capability involves controlling the robotic facial skin actuators in a way that resonates with human emotions. This research focuses on human anthropometric theories to design and control robotic facial actuators, addressing the limitations of existing approaches in expressing emotions naturally and accurately. The facial landmarks are extracted to determine the anthropometric indicators for designing the robot head and is employed to the displacement of these points to calculate emotional values using Fuzzy… More >

  • Open Access

    ARTICLE

    Enhancing User Experience in AI-Powered Human-Computer Communication with Vocal Emotions Identification Using a Novel Deep Learning Method

    Ahmed Alhussen1, Arshiya Sajid Ansari2,*, Mohammad Sajid Mohammadi3

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2909-2929, 2025, DOI:10.32604/cmc.2024.059382 - 17 February 2025

    Abstract Voice, motion, and mimicry are naturalistic control modalities that have replaced text or display-driven control in human-computer communication (HCC). Specifically, the vocals contain a lot of knowledge, revealing details about the speaker’s goals and desires, as well as their internal condition. Certain vocal characteristics reveal the speaker’s mood, intention, and motivation, while word study assists the speaker’s demand to be understood. Voice emotion recognition has become an essential component of modern HCC networks. Integrating findings from the various disciplines involved in identifying vocal emotions is also challenging. Many sound analysis techniques were developed in the… More >

  • Open Access

    ARTICLE

    Emotion Detection Using ECG Signals and a Lightweight CNN Model

    Amita U. Dessai*, Hassanali G. Virani

    Computer Systems Science and Engineering, Vol.48, No.5, pp. 1193-1211, 2024, DOI:10.32604/csse.2024.052710 - 13 September 2024

    Abstract Emotion recognition is a growing field that has numerous applications in smart healthcare systems and Human-Computer Interaction (HCI). However, physical methods of emotion recognition such as facial expressions, voice, and text data, do not always indicate true emotions, as users can falsify them. Among the physiological methods of emotion detection, Electrocardiogram (ECG) is a reliable and efficient way of detecting emotions. ECG-enabled smart bands have proven effective in collecting emotional data in uncontrolled environments. Researchers use deep machine learning techniques for emotion recognition using ECG signals, but there is a need to develop efficient models… More >

  • Open Access

    ARTICLE

    Faster Region Convolutional Neural Network (FRCNN) Based Facial Emotion Recognition

    J. Sheril Angel1, A. Diana Andrushia1,*, T. Mary Neebha1, Oussama Accouche2, Louai Saker2, N. Anand3

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2427-2448, 2024, DOI:10.32604/cmc.2024.047326 - 15 May 2024

    Abstract Facial emotion recognition (FER) has become a focal point of research due to its widespread applications, ranging from human-computer interaction to affective computing. While traditional FER techniques have relied on handcrafted features and classification models trained on image or video datasets, recent strides in artificial intelligence and deep learning (DL) have ushered in more sophisticated approaches. The research aims to develop a FER system using a Faster Region Convolutional Neural Network (FRCNN) and design a specialized FRCNN architecture tailored for facial emotion recognition, leveraging its ability to capture spatial hierarchies within localized regions of facial… More >

  • Open Access

    ARTICLE

    Towards Lessening Learners’ Aversive Emotions and Promoting Their Mental Health: Developing and Validating a Measurement of English Speaking Demotivation in the Chinese EFL Context

    Chili Li1, Xinxin Zhao2, Ziwen Pan3, Ting Yi4, Long Qian5,6,*

    International Journal of Mental Health Promotion, Vol.26, No.2, pp. 161-175, 2024, DOI:10.32604/ijmhp.2023.029896 - 08 March 2024

    Abstract While a plethora of studies has been conducted to explore demotivation and its impact on mental health in second language (L2) education, scanty research focuses on demotivation in L2 speaking learning. Particularly, little research explores the measures to quantify L2 speaking demotivation. The present two-phase study attempts to develop and validate an English Speaking Demotivation Scale (ESDS). To this end, an independent sample of 207 Chinese tertiary learners of English as a Foreign Language (EFL) participated in the development phase, and another group of 188 Chinese EFL learners was recruited for the validation of the… More >

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