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  • Open Access

    ARTICLE

    The Influence of Preschool Teachers’ Social Skills on Job Burnout: A Moderated Mediation Model

    Yuanqing He*, Xinyue Yu, Yu Xia, Yanhua Cao

    International Journal of Mental Health Promotion, Vol.26, No.6, pp. 463-474, 2024, DOI:10.32604/ijmhp.2024.051909

    Abstract Background: Teacher burnout is a serious issue in the field of education, particularly in early childhood education, where teachers face high levels of work stress and emotional labor, leading to emotional exhaustion and job burnout. However, past research has not sufficiently explored the mechanisms of social skills, empathy, and mindfulness in mitigating teacher burnout. Therefore, this study aims to investigate the relationship between preschool teachers’ social skills, empathy, and mindfulness with job burnout, in order to provide theoretical basis and practical guidance for reducing teacher burnout. Methods: This research utilized a convenience sampling approach to… More >

  • Open Access

    ARTICLE

    The Association between Fear of COVID-19, Obsession with COVID-19, and Post Traumatic Stress Disorder in Korean Emergency Rescue Firefighters: A Cross-Sectional Study

    Yun-Jung Choi1, Heewon Song2,*

    International Journal of Mental Health Promotion, Vol.26, No.6, pp. 475-480, 2024, DOI:10.32604/ijmhp.2024.050824

    Abstract During the rapid spread of COVID-19, first responders are at risk of being exposed to COVID-19 due to their role in providing first aid and responding to an unspecified number of people. This uncertainty can have adverse mental health effects, such as increased anxiety and fear. This study aimed to investigate the degree of association between fear of COVID-19, obsession with COVID-19, and post-traumatic stress disorder (PTSD) in emergency rescue firefighters. The participants were 150 emergency rescue firefighters working in Region S, Korea. They filled out self-report questionnaires: The data obtained through the Fear of… More >

  • Open Access

    ARTICLE

    The Influence of Vulnerable Narcissism on Social Anxiety among Adolescents: The Mediating Role of Self-Concept Clarity and Self-Esteem

    Yuetan Wang1,2,*, Xianle Yan1,2, Lili Liu1,2, Xiran Lu1,2, Lan Luo1,2, Xiaobin Ding1,2,*

    International Journal of Mental Health Promotion, Vol.26, No.6, pp. 429-438, 2024, DOI:10.32604/ijmhp.2024.050445

    Abstract Social anxiety (SA) is a prevalent mental health issue among adolescents, and vulnerable narcissism (VN) can exacerbate this condition. This study aims to investigate the impact of vulnerable narcissism on social anxiety in adolescents, specifically focusing on the mediating effects of self-concept clarity (SCC) and self-esteem (SE) in the relationship between vulnerable narcissism and social anxiety. Through cluster sampling, a questionnaire survey was conducted among 982 students from three secondary schools in two provinces. The data was analyzed using structural equation modeling (SEM). The results revealed that there was a significant negative correlation between vulnerable More >

  • Open Access

    ARTICLE

    The Relationship between Self-Esteem and Social Phobia among College Students: The Mediating Effect of Fear of Negative Evaluation and the Moderating Effect of Perfectionism

    Shuai Lv1,2, Zhaojun Chen2,3, Jian Mao4, Hui Wang2,5,*, Peibo Wu2, Yujuan Hai1

    International Journal of Mental Health Promotion, Vol.26, No.6, pp. 491-498, 2024, DOI:10.32604/ijmhp.2024.048917

    Abstract Objectives: To explore the relationship between college students’ self-esteem (SE) and their social phobia (SP), as well as the mediating role of fear of negative evaluation (FNE) and the moderating effect of perfectionism. Methods: A convenience sampling survey was carried out for 1020 college students from Shandong Province of China, utilizing measures of college students’ self-esteem, fear of negative evaluation, perfectionism, and social phobia. Data analysis was performed using the SPSS PROCESS macro. Results: (1) college students’ self-esteem significantly and negatively predicts their social phobia (β = −0.31, t = −10.10, p < 0.001); (2) fear of More >

  • Open Access

    ARTICLE

    In Vitro Propagation and Artificial Seed Production of Fritillaria cirrhosa D. Don, an Endangered Medicinal Plant

    Qian Tao, Guiqi Han, Bujin Ma, Hongmei Jia, Can Zhao, Wenshang Li, Zhuyun Yan*

    Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1297-1310, 2024, DOI:10.32604/phyton.2024.051923

    Abstract Fritillaria cirrhosa D. Don (Liliaceae) is an endangered perennial bulbous plant and its dry bulb is a valuable medicinal material with antitussive and expectorant effects. Nevertheless, lack of resources and expensive prices make it difficult to meet clinical needs. This study presents a regeneration system aimed at overcoming the challenge of inadequate supply in F. cirrhosa, focusing on: (1) callus induction, (2) bulblets and adventitious bud induction, and (3) artificial seed production. Callus development was achieved in 84.93% on Murashige and Skoog (MS) medium fortified with 1.0 mg·L picloram. The optimal medium for callus differentiation into regenerated… More >

  • Open Access

    REVIEW

    Microbial Fertilizer: A Sustainable Strategy for Medicinal Plants Production

    Chuang Liu1,2, Jing Xie2, Hao Liu2, Can Zhong2, Gen Pan2, Shuihan Zhang2, Jian Jin2,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1221-1236, 2024, DOI:10.32604/phyton.2024.050759

    Abstract Medicinal plants have aroused considerable interest as an alternative to chemical drugs due to the beneficial effects of their active secondary metabolites. However, the extensive use of chemical fertilizers and pesticides in pursuit of yield has caused serious pollution to the environment, which is not conducive to sustainable development in the field of medicinal plants. Microbial fertilizers are a type of “green fertilizer” containing specific microorganisms that can improve the soil microbial structure, enhance plant resistance to biological and abiotic stresses, and increase the yield of medicinal plants. The root exudates of medicinal plants attract… More >

  • Open Access

    ARTICLE

    A Data Intrusion Tolerance Model Based on an Improved Evolutionary Game Theory for the Energy Internet

    Song Deng1,*, Yiming Yuan2

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3679-3697, 2024, DOI:10.32604/cmc.2024.052008

    Abstract Malicious attacks against data are unavoidable in the interconnected, open and shared Energy Internet (EI), Intrusion tolerant techniques are critical to the data security of EI. Existing intrusion tolerant techniques suffered from problems such as low adaptability, policy lag, and difficulty in determining the degree of tolerance. To address these issues, we propose a novel adaptive intrusion tolerance model based on game theory that enjoys two-fold ideas: 1) it constructs an improved replica of the intrusion tolerance model of the dynamic equation evolution game to induce incentive weights; and 2) it combines a tournament competition More >

  • Open Access

    ARTICLE

    Solar Radiation Estimation Based on a New Combined Approach of Artificial Neural Networks (ANN) and Genetic Algorithms (GA) in South Algeria

    Djeldjli Halima1,*, Benatiallah Djelloul1, Ghasri Mehdi2, Tanougast Camel3, Benatiallah Ali4, Benabdelkrim Bouchra1

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4725-4740, 2024, DOI:10.32604/cmc.2024.051002

    Abstract When designing solar systems and assessing the effectiveness of their many uses, estimating sun irradiance is a crucial first step. This study examined three approaches (ANN, GA-ANN, and ANFIS) for estimating daily global solar radiation (GSR) in the south of Algeria: Adrar, Ouargla, and Bechar. The proposed hybrid GA-ANN model, based on genetic algorithm-based optimization, was developed to improve the ANN model. The GA-ANN and ANFIS models performed better than the standalone ANN-based model, with GA-ANN being better suited for forecasting in all sites, and it performed the best with the best values in the… More > Graphic Abstract

    Solar Radiation Estimation Based on a New Combined Approach of Artificial Neural Networks (ANN) and Genetic Algorithms (GA) in South Algeria

  • Open Access

    ARTICLE

    Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition

    Yi-Chun Lai1, Shu-Yin Chiang2, Yao-Chiang Kan3, Hsueh-Chun Lin4,*

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3783-3803, 2024, DOI:10.32604/cmc.2024.050376

    Abstract Artificial intelligence (AI) technology has become integral in the realm of medicine and healthcare, particularly in human activity recognition (HAR) applications such as fitness and rehabilitation tracking. This study introduces a robust coupling analysis framework that integrates four AI-enabled models, combining both machine learning (ML) and deep learning (DL) approaches to evaluate their effectiveness in HAR. The analytical dataset comprises 561 features sourced from the UCI-HAR database, forming the foundation for training the models. Additionally, the MHEALTH database is employed to replicate the modeling process for comparative purposes, while inclusion of the WISDM database, renowned… More > Graphic Abstract

    Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition

  • Open Access

    ARTICLE

    Predicting Users’ Latent Suicidal Risk in Social Media: An Ensemble Model Based on Social Network Relationships

    Xiuyang Meng1,2, Chunling Wang1,2,*, Jingran Yang1,2, Mairui Li1,2, Yue Zhang1,2, Luo Wang1,2

    CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4259-4281, 2024, DOI:10.32604/cmc.2024.050325

    Abstract Suicide has become a critical concern, necessitating the development of effective preventative strategies. Social media platforms offer a valuable resource for identifying signs of suicidal ideation. Despite progress in detecting suicidal ideation on social media, accurately identifying individuals who express suicidal thoughts less openly or infrequently poses a significant challenge. To tackle this, we have developed a dataset focused on Chinese suicide narratives from Weibo’s Tree Hole feature and introduced an ensemble model named Text Convolutional Neural Network based on Social Network relationships (TCNN-SN). This model enhances predictive performance by leveraging social network relationship features More >

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