Ahmed Abdel-Wahab¹, Mohammad Alkhatib^2,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-34, 2026, DOI:10.32604/cmc.2025.070010 - 09 December 2025

Abstract Deepfake is a sort of fake media made by advanced AI methods like Generative Adversarial Networks (GANs). Deepfake technology has many useful uses in education and entertainment, but it also raises a lot of ethical, social, and security issues, such as identity theft, the dissemination of false information, and privacy violations. This study seeks to provide a comprehensive analysis of several methods for identifying and circumventing Deepfakes, with a particular focus on image-based Deepfakes. There are three main types of detection methods: classical, machine learning (ML) and deep learning (DL)-based, and hybrid methods. There are… More >

Guo-Zhi Li¹, Hua-Ping Wang^1,2,*, Si-Kai Wang¹, Jing-Cheng Zhou¹, Ping Xiang^3,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3165-3195, 2025, DOI:10.32604/cmes.2025.072750 - 23 December 2025

Abstract Transportation structures such as composite pavements and railway foundations typically consist of multi-layered media designed to withstand high bearing capacity. A theoretical understanding of load transfer mechanisms in these multi-layer composites is essential, as it offers intuitive insights into parametric influences and facilitates enhanced structural performance. This paper employs an improved transfer matrix method to address the limitations of existing theoretical approaches for analyzing multi-layer composite structures. By establishing a two-dimensional composite pavement model, it investigates load transfer characteristics and validates the accuracy through finite element simulation. The proposed method offers a straightforward analytical approach… More >

Jiunn-Wei Wang^1,2,3, Wen-Hung Hsu^2,3,4, Fang-Jung Yu^2,3, Fu-Chen Kuo⁵, Chung-Jung Liu^3,6, Chao-Hung Kuo^1,2,3, Jaw-Yuan Wang^7,8, Ming-Hong Lin^9,*, Deng-Chyang Wu^1,2,3,*

Oncology Research, Vol.33, No.12, pp. 3907-3922, 2025, DOI:10.32604/or.2025.070432 - 27 November 2025

Abstract Objectives: Colorectal adenomatous polyps frequently recur after removal and are precursors to colorectal cancer, highlighting the need for effective preventive strategies. This study evaluated the efficacy of probiotic Clostridium butyricum MIYAIRI 588 (CBM588) in preventing colorectal adenoma recurrence in high-risk patients. Methods: We conducted a randomized, single-blind, two-year crossover trial in patients with a history of adenomatous polyps. Participants received CBM588 in either the first or second year, with the alternate year as observation, and underwent annual surveillance colonoscopies. Outcomes (adenoma recurrence and polyp counts) were analyzed by intention-to-treat (ITT) and per-protocol (PP) approaches. Results: A total… More >

Si-Kai Wang¹, Ti-Cai Wang¹, Di-Fei Yi², Jia Rui³, Peng-Fei Cao⁴, Hua-Ping Wang^1,5,*

Structural Durability & Health Monitoring, Vol.19, No.6, pp. 1411-1432, 2025, DOI:10.32604/sdhm.2025.070034 - 17 November 2025

Abstract As a key storage facility, the structural safety of large oil tanks is directly related to the stable operation of the energy system. The static pressure caused by the change of liquid level is one of the main loads in the service process of storage tanks, which determines the structural deformation and damage risk. To explore the structural deformation properties under the change of liquid levels and provide a theoretical basis for the prevention and control of damage risk, this paper systematically analyzes the mechanical response of storage tanks under the pressures induced by different… More > Graphic Abstract

Zhengzheng Cao^1,2,3, Fangxu Guo¹, Wenqiang Wang^2,3,4,*, Feng Du^2,3,4, Zhenhua Li^2,3,4, Shuaiyang Zhang¹, Qixuan Wang¹, Yongzhi Zhai¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2419-2442, 2025, DOI:10.32604/fdmp.2025.070624 - 30 October 2025

Abstract With the depletion of shallow mineral resources, mining operations are extending to greater depths and larger scales, increasing the risk of water inrush disasters, particularly from confined aquifers intersected by faults. This paper reviews the current state of research on fault-induced water inrushes in mining faces, examining the damage characteristics and permeability of fractured floor rock, the mechanical behavior of faults under mining stress, and the mechanisms driving water inrush. Advances in prevention technologies, risk assessment, and prediction methods are also summarized. Research shows that damage evolution in fractured floor rock, coupled with fluid-solid interactions,… More > Graphic Abstract

Tao Lin^1,*, Chengdai Chen¹, Liyao Chen¹, Fengqin Han¹, Guanghui He²

Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1661-1680, 2025, DOI:10.32604/fhmt.2025.070787 - 31 October 2025

Abstract Targeting spontaneous coal combustion during stacking, we developed an efficient heat dissipation & self-supplied wireless temperature measurement system (SPWTM) with gravity heat pipe-thermoelectric integration for dual safety. The heat transfer characteristics and temperature measurement optimization of the system are experimentally investigated and verified in practical applications. The results show that, firstly, the effects of coal pile heat production power and burial depth, along with heat pipe startup and heat transfer characteristics. At 60 cm burial depth, the condensation section dissipates 98% coal pile heat via natural convection. Secondly, for the temperature measurement error caused by… More >

Remah Younisse^1,#, Mouhammd AlKasassbeh^1,#, Amjad Aldweesh^2,*

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4921-4941, 2025, DOI:10.32604/cmc.2025.067818 - 23 October 2025

Abstract Smart grid systems are advancing electrical services, making them more compatible with Internet of Things (IoT) technologies. The deployment of smart grids is facing many difficulties, requiring immediate solutions to enhance their practicality. Data privacy and security are widely discussed, and many solutions are proposed in this area. Energy theft attacks by greedy customers are another difficulty demanding immediate solutions to decrease the economic losses caused by these attacks. The tremendous amount of data generated in smart grid systems is also considered a struggle in these systems, which is commonly solved via fog computing. This… More >

Abrar M. Alajlan^1,*, Marwah M. Almasri²

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5237-5262, 2025, DOI:10.32604/cmc.2025.066736 - 23 October 2025

Abstract Cyber-Physical Systems integrated with information technologies introduce vulnerabilities that extend beyond traditional cyber threats. Attackers can non-invasively manipulate sensors and spoof controllers, which in turn increases the autonomy of the system. Even though the focus on protecting against sensor attacks increases, there is still uncertainty about the optimal timing for attack detection. Existing systems often struggle to manage the trade-off between latency and false alarm rate, leading to inefficiencies in real-time anomaly detection. This paper presents a framework designed to monitor, predict, and control dynamic systems with a particular emphasis on detecting and adapting to… More >

Saad Awadh Alanazi¹, Fahad Ahmad^2,3,*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 769-800, 2025, DOI:10.32604/cmc.2025.066753 - 29 August 2025

Abstract This study presents a comprehensive and secure architectural framework for the Internet of Medical Things (IoMT), integrating the foundational principles of the Confidentiality, Integrity, and Availability (CIA) triad along with authentication mechanisms. Leveraging advanced Machine Learning (ML) and Deep Learning (DL) techniques, the proposed system is designed to safeguard Patient-Generated Health Data (PGHD) across interconnected medical devices. Given the increasing complexity and scale of cyber threats in IoMT environments, the integration of Intrusion Detection and Prevention Systems (IDPS) with intelligent analytics is critical. Our methodology employs both standalone and hybrid ML & DL models to… More >

Jin Peng, Jiabei He^*, Na Li^*

International Journal of Mental Health Promotion, Vol.27, No.7, pp. 953-977, 2025, DOI:10.32604/ijmhp.2025.066405 - 31 July 2025

Abstract Background: Parenting exerts a profound influence on children’s mental health and behavioral development. Despite the high prevalence of children’s emotional and behavioral problems (CEBP) in China, evidence-based parenting interventions remain scarcely investigated as preventive public health strategies. This pilot study evaluated a school-based intervention for preventing CEBP. Methods: We employed a quasi-experimental design with propensity score matching (PSM) to select 28 families (intervention: n = 13; control: n = 15) from two matched urban primary schools. Quantitative data from seven validated scales were analyzed using t-tests and ANCOVA. Qualitative insights were derived from 10 semi-structured interviews… More >