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  • Open Access

    ARTICLE

    A Generative Steganography Based on Attraction-Matrix-Driven Gomoku Games

    Yi Cao1, Kuo Zhang1, Chengsheng Yuan2,*, Linglong Zhu1, Wentao Ge2

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-24, 2026, DOI:10.32604/cmc.2025.070158 - 09 December 2025

    Abstract Generative steganography uses generative stego images to transmit secret message. It also effectively defends against statistical steganalysis. However, most existing methods focus primarily on matching the feature distribution of training data, often neglecting the sequential continuity between moves in the game. This oversight can result in unnatural patterns that deviate from real user behavior, thereby reducing the security of the hidden communication. To address this issue, we design a Gomoku agent based on the AlphaZero algorithm. The model engages in self-play to generate a sequence of plausible moves. These moves form the basis of the… More >

  • Open Access

    REVIEW

    Toward Robust Deepfake Defense: A Review of Deepfake Detection and Prevention Techniques in Images

    Ahmed Abdel-Wahab1, Mohammad Alkhatib2,*

    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 >

  • Open Access

    ARTICLE

    CAFE-GAN: CLIP-Projected GAN with Attention-Aware Generation and Multi-Scale Discrimination

    Xuanhong Wang1, Hongyu Guo1, Jiazhen Li1, Mingchen Wang1, Xian Wang1, Yijun Zhang2,*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-19, 2026, DOI:10.32604/cmc.2025.069482 - 10 November 2025

    Abstract Over the past decade, large-scale pre-trained autoregressive and diffusion models rejuvenated the field of text-guided image generation. However, these models require enormous datasets and parameters, and their multi-step generation processes are often inefficient and difficult to control. To address these challenges, we propose CAFE-GAN, a CLIP-Projected GAN with Attention-Aware Generation and Multi-Scale Discrimination, which incorporates a pre-trained CLIP model along with several key architectural innovations. First, we embed a coordinate attention mechanism into the generator to capture long-range dependencies and enhance feature representation. Second, we introduce a trainable linear projection layer after the CLIP text… More >

  • Open Access

    ARTICLE

    A Hybrid Deep Learning Multi-Class Classification Model for Alzheimer’s Disease Using Enhanced MRI Images

    Ghadah Naif Alwakid*

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-25, 2026, DOI:10.32604/cmc.2025.068666 - 10 November 2025

    Abstract Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder that significantly affects cognitive function, making early and accurate diagnosis essential. Traditional Deep Learning (DL)-based approaches often struggle with low-contrast MRI images, class imbalance, and suboptimal feature extraction. This paper develops a Hybrid DL system that unites MobileNetV2 with adaptive classification methods to boost Alzheimer’s diagnosis by processing MRI scans. Image enhancement is done using Contrast-Limited Adaptive Histogram Equalization (CLAHE) and Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN). A classification robustness enhancement system integrates class weighting techniques and a Matthews Correlation Coefficient (MCC)-based evaluation method into the design.… More >

  • Open Access

    REVIEW

    3D Printing of Organic and Biological Materials

    Priyadarshini Patel, Komal Parmar*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2855-2903, 2025, DOI:10.32604/fdmp.2025.069428 - 31 December 2025

    Abstract Tissue engineering has advanced remarkably in developing functional tissue substitutes for pharmaceutical and regenerative applications. Among emerging technologies, three-dimensional (3D) printing, or additive manufacturing, enables precise fabrication of biocompatible materials, living cells, and scaffolds into complex, viable constructs. Within regenerative medicine, 3D bioprinting addresses the growing demand for transplantable tissues and organs by assembling biological materials that replicate native architectures. This paper reviews biomaterials used in 3D bioprinting, emphasizing how their rheological behavior, particularly viscoelasticity and thixotropy, governs printability, structural fidelity, and cellular viability. The advantages and limitations of natural, synthetic, and composite bioinks are More > Graphic Abstract

    3D Printing of Organic and Biological Materials

  • Open Access

    ARTICLE

    Family Organization and Resilience in Chinese Primary Students: Mediating Effects of Proactive Coping and Mindfulness

    Jingyuan Yu, Xueyan Wei*, Jinghui Wang

    International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1929-1948, 2025, DOI:10.32604/ijmhp.2025.071233 - 31 December 2025

    Abstract Background: Chinese elementary students face mental health challenges due to excessive academic pressures. Previous research has indicated that resilience is crucial for improving their mental health, which is fostered by a supportive family environment. This study, therefore, explored the impact of family organization on children’s resilience and examined whether proactive coping and mindfulness mediate this relationship. Methods: Data were collected from 702 elementary school students (grades 3–6) in 3 cities in China using a multi-stage sampling procedure. Validated scales measured family organization, proactive coping, mindfulness, and resilience. The hypothesized model was tested using Structural Equation Modeling… More >

  • Open Access

    ARTICLE

    New Findings on the Volatilome of Persea americana Miller

    Elizabeth Martinez1, Ana K. Escalera-Ordaz1, Francisco J. Espinosa-García2, Yolanda M. García-Rodríguez2, Rafael Ariza-Flores3, Javier Ponce-Saavedra4, Patricio Apáez-Barrios5, Héctor Guillén-Andrade1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 4155-4171, 2025, DOI:10.32604/phyton.2025.073438 - 29 December 2025

    Abstract Volatile organic compounds (VOCs) play an important role in plant survival and adaptation. They contribute to defense against pests and pathogens, tolerance to abiotic stress, and the mediation of essential ecological interactions such as pollination and attraction of dispersal agents. The complex mixture of VOCs produced by an organism, known as volatilome, varies across species, populations, and individuals, making VOCs a major factor in crop diversification and adaptation. In this context, characterizing the volatilome of crop genotypes can provide insight into their ecological associations and potential relationships with agronomic traits. In this study, the volatilome… More >

  • Open Access

    ARTICLE

    Effects of Mineral and Organic Fertilizers on Potato Yield, Soil Fertility, and Metal Accumulation in a Semi-Arid Field Trial

    Abd Al Karim Jaafar1, Suleiman Salim1, Dema Altheb1, Mukhtar Iderawumi Abdulraheem2,3, Andrés Rodríguez-Seijo4,5,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.12, pp. 3945-3960, 2025, DOI:10.32604/phyton.2025.072520 - 29 December 2025

    Abstract The use of organic fertilizers can be an opportunity to increase crop yield and improve soil fertility in semi-arid regions, since soils from these regions usually have unfavourable conditions for plant growth. This research investigates the effects of organic and mineral fertilization on the impact of soil properties (pH, electrical conductivity and organic matter), availability of macro- (N, P and K), micro-nutrients (Fe, Mn, Cu and Zn) and the accumulation of heavy metals (Pb, Cd, Cr) in soil and potato tubers grown under semiarid conditions. A field experiment was conducted in Raqqa Governorate (Syria) using… More >

  • Open Access

    ARTICLE

    Fe-doped SnO2-SnS2/polypyrrole: an efficient photocatalyst for the degradation of organic pollutant in wastewater

    F. Khana, S. Noreena, M. S. Youssefb, A. Jilanic, H. T. Alib, G. Mustafad, M. Zahida,*

    Chalcogenide Letters, Vol.22, No.9, pp. 807-820, 2025, DOI:10.15251/CL.2025.229.807

    Abstract In this study Fe doped SnO2-SnS2 (FS) and Fe doped SnO2-SnS2-polypyrrole (FS-PPY) were synthesized and studied for the methylene blue (MB) egrdation under UV light. The morphological and structural characterizations were carried out by FTIR, SEM-EDX, XRD and XPS. It has been found that FS-PPy degrade methylene blue upto 98 % under optimized conditions as pH =3, dye concentration = 10 ppm, oxidant dose = 2 mM. The Langmuir-Hinshelwood kinetics model fitted well. The optimization was studied using response surface methodology. Scavengers study was carried out to find the active species. Reusability of photocatalyst was evaluated More >

  • Open Access

    ARTICLE

    Nanostructured Self-Organization of Lead Sulphide Quantum Dots by Electrophoretic Deposition (EPD) Technique

    R. Yoga Indra Eniya1, K. Vijayakumar2, B. Vigneashwari3,*

    Chalcogenide Letters, Vol.22, No.11, pp. 971-985, 2025, DOI:10.15251/CL.2025.2211.971

    Abstract Nanocrystals (~16 nm) of semiconducting lead sulphide (PbS) were synthesized using the coprecipitation method, which was characterized for phase and compositional purity. These ultrafine particles of PbS exhibited quantum confinement characteristics, which were revealed by blue-shifting in optical absorption using UV-DRS analysis. These QDs of PbS were driven under the influence of the applied electric field using monodispersed colloidal suspension on the Indium-Tin-Oxide (ITO) substrate using the electrophoretic deposition technique (EPD). The formation of self-organized arrays of PbS quantum dots (QDs) and their stacked assemblies was achieved through EPD. Interestingly, neither complexing agents nor templates More >

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