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  • Open Access

    ARTICLE

    Efficient Rumor Control via Disseminating Truthful Information by Influential Nodes

    Suqiao Li1, Taotao Cai2, Lingling Li3,*, Xuezhuan Zhao4,*

    CMC-Computers, Materials & Continua, Vol.85, No.2, pp. 3583-3598, 2025, DOI:10.32604/cmc.2025.066909 - 23 September 2025

    Abstract Rumor Control (RC), aimed at minimizing the spread of rumors in social networks, is of paramount importance, as the spread of rumors can lead to significant economic losses, societal disruptions, and even widespread panic. The RC problem has garnered extensive research attention, however, most existing solutions for rumor control face a trade-off between efficiency and effectiveness, which limits their practical application in real-world scenarios. In this light, this paper studies the Truth-spreading-based Rumor Control (TRC) problem, and introduces the Subgraph-based Greedy algorithm Optimized with CELF (SGOC), which employs subgraph techniques and the CELF strategy, as More >

  • Open Access

    ARTICLE

    The Identification of Influential Users Based on Semi-Supervised Contrastive Learning

    Jialong Zhang1, Meijuan Yin2,*, Yang Pei2, Fenlin Liu2, Chenyu Wang2

    CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 2095-2115, 2025, DOI:10.32604/cmc.2025.065679 - 29 August 2025

    Abstract Identifying influential users in social networks is of great significance in areas such as public opinion monitoring and commercial promotion. Existing identification methods based on Graph Neural Networks (GNNs) often lead to yield inaccurate features of influential users due to neighborhood aggregation, and require a large substantial amount of labeled data for training, making them difficult and challenging to apply in practice. To address this issue, we propose a semi-supervised contrastive learning method for identifying influential users. First, the proposed method constructs positive and negative samples for contrastive learning based on multiple node centrality metrics… More >

  • Open Access

    ARTICLE

    Influential Factors of Suicidal Ideation among University Students—The Moderating Role of Family Closeness and Peer Support

    Jun Qiu1, Jinling Wang2,*

    International Journal of Mental Health Promotion, Vol.27, No.4, pp. 485-505, 2025, DOI:10.32604/ijmhp.2025.059951 - 30 April 2025

    Abstract Objectives: Suicidal ideation (SI) among university students is a growing concern, influenced by anxiety, depression, and bullying. However, family closeness and peer support may act as protective factors, reducing the risk of SI. Therefore, this study aims to investigate the key factors influencing SI among university students, focusing on the effects of anxiety, depression, and bullying, along with the roles of family closeness and peer support. The research also explores the interactions and mechanisms between these variables. Methods: A sample of 318 university students was surveyed, evaluating six main factors: anxiety, depression, bullying, family closeness, peer… More >

  • Open Access

    ARTICLE

    Numerical Simulation of the Flow and Heat Transfer in Novel Circumfluent Cyclone Separator during High-Temperature Converter Gas Recovery

    Ziyi Wang1,2, Sen Li1,2,*, Xiaolin Wei1,2, Jing Zhao1, Bo Li1, Yuan Yao1

    Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 163-184, 2025, DOI:10.32604/fhmt.2024.059740 - 26 February 2025

    Abstract In the novel fully dry converter gas recovery process, a novel circumfluent cyclone separator with an evaporation heating surface can simultaneously realize the dust removal and sensible heat recovery of converter gas. For this equipment, the distributions of internal flow and wall heat transfer affect the efficiency of dust removal and sensible heat recovery. In this study, based on on-site operation tests, the distributions of internal flow and wall heat transfer in the circumfluent cyclone separator are studied by numerical simulation. The results indicate that the flow rate proportions in different regions of the circumfluent More >

  • Open Access

    ARTICLE

    Experimental Study of Selective Batch Bio-Adsorption for the Removal of Dyes in Industrial Textile Effluents

    Zakaria Laggoun1,*, Amel Khalfaoui1, Kerroum Derbal2,*, Amira Fadia Ghomrani3, Abderrezzaq Benalia2,4, Antonio Pizzi5

    Journal of Renewable Materials, Vol.13, No.1, pp. 127-146, 2025, DOI:10.32604/jrm.2024.056970 - 20 January 2025

    Abstract This research aims to study the bio-adsorption process of two dyes, Cibacron Green H3G (CG-H3G) and Terasil Red (TR), in a single system and to bring them closer to the industrial textile discharge by a binary mixture of two dyes (TR+CG-H3G). The Cockle Shell (CS) was used as a natural bio-adsorbent. The characterizations of CS were investigated by Fourier transform infrared (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and Brunauer–Emmett–Teller (BET). The adsorption potential of Cockle Shells was tested in two cases (single and binary system) and determined by: contact… More > Graphic Abstract

    Experimental Study of Selective Batch Bio-Adsorption for the Removal of Dyes in Industrial Textile Effluents

  • Open Access

    ARTICLE

    Enhancing Thermal Performance of Building Envelopes Using Hemp Wool and Wood Wool with Phase Change Materials

    Salma Kouzzi1,*, Mouniba Redah1, Souad Morsli2, Mohammed El Ganaoui3, Mohammed Lhassane Lahlaouti1

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2741-2755, 2024, DOI:10.32604/fdmp.2024.055890 - 23 December 2024

    Abstract This study investigates the potential for enhancing the thermal performance of external walls insulation in warmer climates through the combination of phase change materials (PCMs) and bio-based materials, specifically hemp wool and wood wool. Experimental tests using the heat flow method (HFM), and numerical simulations with ANSYS Fluent software were conducted to assess the dynamic thermal distribution and fluid-mechanical aspects of phase change materials (PCMs) within composite walls. The results demonstrate a notable reduction in peak indoor temperatures, achieving a 58% reduction with hemp wool with a close 40% reduction with wood wool when combined More >

  • Open Access

    ARTICLE

    The Influential Mechanisms of Theory of Mind on Prosocial Behavior and the Effect of Mindfulness Intervention

    Sisi Li1,3, Nailiang Zhong2,*, Qingke Guo1,*

    International Journal of Mental Health Promotion, Vol.26, No.9, pp. 679-695, 2024, DOI:10.32604/ijmhp.2024.054206 - 20 September 2024

    Abstract Background: Theory of Mind (ToM) and empathy are crucial cognitive and emotional capacities that influence social interactions. While their role in promoting prosocial behavior has been established, the potential moderating effect of mindfulness on this relationship remains unexplored. Understanding these complex interactions is vital for developing effective interventions to foster prosocial behavior among college students. This study examines the influence of ToM on college students’ prosocial behavior and explores the moderating role of mindfulness in this relationship. Methods: A mixed-methods approach combining questionnaires and experimental design was employed. Study 1: A survey of 759 college… More >

  • Open Access

    ARTICLE

    A Gasification Technology to Combine Oil Sludge with Coal–Water Slurry: CFD Analysis and Performance Determination

    Xulei Wu1, Hailong Yu1,*, Panrong Wu1, Chaoqian Wang1, Haiqun Chen1, Yunlan Sun1, He Zheng2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.7, pp. 1481-1498, 2024, DOI:10.32604/fdmp.2024.047092 - 23 July 2024

    Abstract The development of more environment-friendly ways to dispose of oil sludge is currently regarded as a hot topic. In this context, gasification technologies are generally seen as a promising way to combine oil sludge with coal–water slurry (CWS) and generate resourceful fuel. In this study, a novel five-nozzle gasifier reactor was analyzed by means of a CFD (Computational fluid dynamic) method. Among several influential factors, special attention was paid to the height-to-diameter ratio of the gasifier and the mixing ratio of oil sludge, which are known to have a significant impact on the flow field, More >

  • Open Access

    ARTICLE

    Simulation Research on Coal-Water Slurry Gasification of Oil-Based Drill Cuttings Based on Fluent

    Liang Hu, Hailong Yu*, Liuyang Huang, Yayun Xu, Xulei Wu, Yunlan Sun, Baozhong Zhu

    Energy Engineering, Vol.120, No.9, pp. 1963-1977, 2023, DOI:10.32604/ee.2023.027897 - 03 August 2023

    Abstract In this paper, based on Fluent software, a five-nozzle gasifier reactor was established to simulate the gasification process of oil-based drill cuttings coal-water slurry. The influence of concentration and oxygen/carbon atomic ratio on the gasification process of oil-based drill cuttings coal-water slurry was investigated. The results show that when the oxygen flow is constant, the outlet temperature of gasifier decreases, the content of effective gas increases, and the carbon conversion rate decreases with the increase of concentration; When the ratio of oxygen to carbon atoms is constant, the effective gas content rises and the temperature More > Graphic Abstract

    Simulation Research on Coal-Water Slurry Gasification of Oil-Based Drill Cuttings Based on Fluent

  • Open Access

    ARTICLE

    Identifying Influential Communities Using IID for a Multilayer Networks

    C. Suganthini*, R. Baskaran

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1715-1731, 2023, DOI:10.32604/iasc.2023.034019 - 05 January 2023

    Abstract In online social networks (OSN), they generate several specific user activities daily, corresponding to the billions of data points shared. However, although users exhibit significant interest in social media, they are uninterested in the content, discussions, or opinions available on certain sites. Therefore, this study aims to identify influential communities and understand user behavior across networks in the information diffusion process. Social media platforms, such as Facebook and Twitter, extract data to analyze the information diffusion process, based on which they cascade information among the individuals in the network. Therefore, this study proposes an influential… More >

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