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  • Open Access

    ARTICLE

    Latent Profile Analysis: Mattering Concepts, Problematic Internet Use, and Adaptability in Chinese University Students

    Jianlong Wang1,#, Xiumei Chen1,2,#, Muqi Huang3, Rui Liu3, I-Hua Chen4,5,*, Gordon L. Flett6,*

    International Journal of Mental Health Promotion, Vol.27, No.2, pp. 241-256, 2025, DOI:10.32604/ijmhp.2025.058503 - 03 March 2025

    Abstract Background: This study addresses the pressing need to understand the nuanced relationship between ‘mattering’—the perception of being significant to others—and problematic internet use (PIU) among university students. Unlike previous research that has primarily employed variable-centered approaches, this study first adopts a person-centered approach using Latent Profile Analysis (LPA) to identify distinct mattering profiles. Subsequently, through variable-centered analyses, these profiles are examined in relation to different types of PIU—specifically problematic social media use (PSMU) and problematic gaming (PG)—as well as adaptability. Methods: Data were collected from 3587 university students across 19 universities in China. Participants completed… More >

  • Open Access

    REVIEW

    Zero Trust Networks: Evolution and Application from Concept to Practice

    Yongjun Ren1, Zhiming Wang1, Pradip Kumar Sharma2, Fayez Alqahtani3, Amr Tolba4, Jin Wang5,*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 1593-1613, 2025, DOI:10.32604/cmc.2025.059170 - 17 February 2025

    Abstract In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defensive techniques, Zero Trust Networks (ZTN) have emerged as a widely recognized technology. Zero Trust not only addresses the shortcomings of traditional perimeter security models but also consistently follows the fundamental principle of “never trust, always verify.” Initially proposed by John Cortez in 2010 and subsequently promoted by Google, the Zero Trust model has become a key approach to addressing the ever-growing security threats in complex network environments. This paper systematically compares the current mainstream cybersecurity models, thoroughly explores More >

  • Open Access

    ARTICLE

    APWF: A Parallel Website Fingerprinting Attack with Attention Mechanism

    Dawei Xu1,2,3, Min Wang1, Yue Lv1, Moxuan Fu2, Yi Wu4,5,*, Jian Zhao1

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2027-2041, 2025, DOI:10.32604/cmc.2024.058178 - 17 February 2025

    Abstract Website fingerprinting (WF) attacks can reveal information about the websites users browse by de-anonymizing encrypted traffic. Traditional website fingerprinting attack models, focusing solely on a single spatial feature, are inefficient regarding training time. When confronted with the concept drift problem, they suffer from a sharp drop in attack accuracy within a short period due to their reliance on extensive, outdated training data. To address the above problems, this paper proposes a parallel website fingerprinting attack (APWF) that incorporates an attention mechanism, which consists of an attack model and a fine-tuning method. Among them, the APWF… More >

  • Open Access

    ARTICLE

    Associations between Rejective Parenting Style and Academic Anxiety among Chinese High School Students: The Chain Mediation Effect of Self-Concept and Positive Coping Style

    Dexian Li1, Wencan Li2, Xin Lin3,*, Xingchen Zhu4,*

    International Journal of Mental Health Promotion, Vol.27, No.1, pp. 1-17, 2025, DOI:10.32604/ijmhp.2024.058744 - 31 January 2025

    Abstract Background: The phenomenon of academic anxiety has been demonstrated to exert a considerable influence on students’ academic engagement, leading to the emergence of a phenomenon known as “learned helplessness” and undermining the self-confidence and motivation of high school students. Using acceptance-rejection theory, this study elucidated how a rejective parenting style affects Chinese high school students’ academic anxiety and explored the urban-rural heterogeneity of this relationship. Methods: Data were analyzed using a stratified whole-cluster random sampling method. There are a total of 30,000 high school students in the three regions of northern and central China (from… More >

  • Open Access

    REVIEW

    A Critical Review of Active Distribution Network Reconfiguration: Concepts, Development, and Perspectives

    Bo Yang1, Rui Zhang1, Jie Zhang2, Xianlong Cheng2, Jiale Li3, Yimin Zhou1, Yuanweiji Hu1, Bin He1, Gongshuai Zhang4, Xiuping Du4, Si Ji5, Yiyan Sang6, Zhengxun Guo7,8,*

    Energy Engineering, Vol.121, No.12, pp. 3487-3547, 2024, DOI:10.32604/ee.2024.054662 - 22 November 2024

    Abstract In recent years, the large-scale grid connection of various distributed power sources has made the planning and operation of distribution grids increasingly complex. Consequently, a large number of active distribution network reconfiguration techniques have emerged to reduce system losses, improve system safety, and enhance power quality via switching switches to change the system topology while ensuring the radial structure of the network. While scholars have previously reviewed these methods, they all have obvious shortcomings, such as a lack of systematic integration of methods, vague classification, lack of constructive suggestions for future study, etc. Therefore, this… More >

  • Open Access

    PROCEEDINGS

    Exploration of Alloy Composition-Phase Relationships: High-Throughput Experimental Concepts and Approaches

    Liang Jiang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012946

    Abstract The Materials Genome Engineering (MGE) spurs the developments and applications of methods and tools in high-throughput experiments, integrated computation materials engineering and big data. Due to the unique importance and characteristics of structural alloys, there are great needs for MGE high throughput experimental methods and tools to enable efficient establishment of the complex alloy composition-microstructures-property relationships. To explore the alloy composition-phase relationships, several high-throughput experimental concepts are discussed. The diffusion-based high-throughput experimental concepts and approaches are highlighted from generating composition spread, automating characterization, and to illustrating systematic analysis. In particular, the evolution of diffusion multiple More >

  • Open Access

    REVIEW

    A Comprehensive Survey on Federated Learning in the Healthcare Area: Concept and Applications

    Deepak Upreti1, Eunmok Yang2, Hyunil Kim3,*, Changho Seo1,4

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.3, pp. 2239-2274, 2024, DOI:10.32604/cmes.2024.048932 - 08 July 2024

    Abstract Federated learning is an innovative machine learning technique that deals with centralized data storage issues while maintaining privacy and security. It involves constructing machine learning models using datasets spread across several data centers, including medical facilities, clinical research facilities, Internet of Things devices, and even mobile devices. The main goal of federated learning is to improve robust models that benefit from the collective knowledge of these disparate datasets without centralizing sensitive information, reducing the risk of data loss, privacy breaches, or data exposure. The application of federated learning in the healthcare industry holds significant promise 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 - 28 June 2024

    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

    A Study on the Influence of Social Media Use on Psychological Anxiety among Young Women

    Tao Liu1, Huiyin Shi1, Chen Chen1,*, Rong Fu2,*

    International Journal of Mental Health Promotion, Vol.26, No.3, pp. 199-209, 2024, DOI:10.32604/ijmhp.2024.046303 - 08 April 2024

    Abstract To explore the relationship between social influence, social comparison, clarity of self-concept, and psychological anxiety among young women during their usage of social networking sites, our study selected 338 young women aged 14–34 from the social site platforms of Little Red Book and Weibo for questionnaire surveys. The Passive Social Network Utilization Scale, Social Comparison Scale (SCS), Social Influence Questionnaire, Self-Concept Clarity Scale (SCCS), and Generalized Anxiety Disorder Scale (GAD-7) were employed to measure the subjects. Our results show that the frequency of passive social media use is positively related to the level of psychological… More >

  • Open Access

    ARTICLE

    Explainable Conformer Network for Detection of COVID-19 Pneumonia from Chest CT Scan: From Concepts toward Clinical Explainability

    Mohamed Abdel-Basset1, Hossam Hawash1, Mohamed Abouhawwash2,3,*, S. S. Askar4, Alshaimaa A. Tantawy1

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 1171-1187, 2024, DOI:10.32604/cmc.2023.044425 - 30 January 2024

    Abstract The early implementation of treatment therapies necessitates the swift and precise identification of COVID-19 pneumonia by the analysis of chest CT scans. This study aims to investigate the indispensable need for precise and interpretable diagnostic tools for improving clinical decision-making for COVID-19 diagnosis. This paper proposes a novel deep learning approach, called Conformer Network, for explainable discrimination of viral pneumonia depending on the lung Region of Infections (ROI) within a single modality radiographic CT scan. Firstly, an efficient U-shaped transformer network is integrated for lung image segmentation. Then, a robust transfer learning technique is introduced… More >

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