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  • Open Access

    ARTICLE

    A Robust Image Watermarking Based on DWT and RDWT Combined with Möbius Transformations

    Atheer Alrammahi1,2, Hedieh Sajedi1,*

    CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 887-918, 2025, DOI:10.32604/cmc.2025.063866 - 09 June 2025

    Abstract Ensuring digital media security through robust image watermarking is essential to prevent unauthorized distribution, tampering, and copyright infringement. This study introduces a novel hybrid watermarking framework that integrates Discrete Wavelet Transform (DWT), Redundant Discrete Wavelet Transform (RDWT), and Möbius Transformations (MT), with optimization of transformation parameters achieved via a Genetic Algorithm (GA). By combining frequency and spatial domain techniques, the proposed method significantly enhances both the imperceptibility and robustness of watermark embedding. The approach leverages DWT and RDWT for multi-resolution decomposition, enabling watermark insertion in frequency subbands that balance visibility and resistance to attacks. RDWT,… More >

  • Open Access

    ARTICLE

    HPLC-DAD Profiling and Diuretic Effect of Solanum elaeagnifolium (Cav.) Aqueous Extract: A Combined Experimental and Computational Approach

    Bouslamti Mohammed1, Nouioura Ghizlane1, Tbatou Widad1, Mohamed Chebaibi2,3, Abdulsalam Alhalmi4, Najoua Soulo1, Sulaiman Mohammed Alnasser5, Fahad M Alshabrmi6, Amine Elbouzidi7,*, Lyoussi Badiaa1, Benjelloun Ahmed Samir1

    Phyton-International Journal of Experimental Botany, Vol.94, No.5, pp. 1505-1518, 2025, DOI:10.32604/phyton.2025.063896 - 29 May 2025

    Abstract The Solanum genus is known for its diverse bioactive compounds, yet its diuretic potential remains understudied. This research commenced with an analysis of polyphenol and flavonoid content in Solanum elaeagnifolium leaf extract (SEFE) using colorimetric techniques, followed by HPLC-DAD to delineate its chemical composition. The aqueous extract revealed prominent constituents: naringin (12.38%), quercetin 3-O-B-D-Glucoside (27.25%), and flavone (15.26%). A 15-day study on normal rats investigated the diuretic potential of SEFE at repeated doses. SEFE significantly increased urine volume and urinary sodium/potassium levels without inducing hypokalaemia, contrasting with furosemide, a standard diuretic that induced hypokalaemia. Conversely, furosemide, a… More >

  • Open Access

    ARTICLE

    Energy-Efficient Air Conditioning System with Combined a Ceiling Fan for Thermal Comfort in an Office

    Linlan Chang1, Win-Jet Luo1,2, Indra Permana2, Bowo Yuli Prasetyo3, Alya Penta Agharid1, Fujen Wang2,*

    Energy Engineering, Vol.122, No.5, pp. 1771-1787, 2025, DOI:10.32604/ee.2025.062209 - 25 April 2025

    Abstract Heating, Ventilation, and Air Conditioning (HVAC) systems are critical for maintaining thermal comfort in office environments which also crucial for occupant well-being and productivity. This study investigates the impact of integrating ceiling fans with higher air conditioning setpoints on thermal comfort and energy efficiency in office environments. Field measurements and questionnaire surveys were conducted to evaluate thermal comfort and energy-saving potential under varying conditions. Results show that increasing the AC setpoint from 25°C to 27°C, combined with ceiling fan operation, reduced power consumption by 10%, achieving significant energy savings. Survey data confirmed that 85% of… More >

  • Open Access

    ARTICLE

    An Explainable Autoencoder-Based Feature Extraction Combined with CNN-LSTM-PSO Model for Improved Predictive Maintenance

    Ishaani Priyadarshini*

    CMC-Computers, Materials & Continua, Vol.83, No.1, pp. 635-659, 2025, DOI:10.32604/cmc.2025.061062 - 26 March 2025

    Abstract Predictive maintenance plays a crucial role in preventing equipment failures and minimizing operational downtime in modern industries. However, traditional predictive maintenance methods often face challenges in adapting to diverse industrial environments and ensuring the transparency and fairness of their predictions. This paper presents a novel predictive maintenance framework that integrates deep learning and optimization techniques while addressing key ethical considerations, such as transparency, fairness, and explainability, in artificial intelligence driven decision-making. The framework employs an Autoencoder for feature reduction, a Convolutional Neural Network for pattern recognition, and a Long Short-Term Memory network for temporal analysis.… More >

  • Open Access

    ARTICLE

    Evaluation Model for Energy Efficiency of Factory Workshop Based on DSR and Fuzzy Borda

    Shengjie Yang1,2, Zijian Zhu1,*, Xu Ouyang3

    Energy Engineering, Vol.122, No.3, pp. 1073-1092, 2025, DOI:10.32604/ee.2025.060293 - 07 March 2025

    Abstract In the context of advancing towards dual carbon goals, numerous factories are actively engaging in energy efficiency upgrades and transformations. To accurately pinpoint energy efficiency bottlenecks within factories and prioritize renovation sequences, it is crucial to conduct comprehensive evaluations of the energy performance across various workshops. Therefore, this paper proposes an evaluation model for workshop energy efficiency based on the drive-state-response (DSR) framework combined with the fuzzy BORDA method. Firstly, an in-depth analysis of the relationships between different energy efficiency indicators was conducted. Based on the DSR model, evaluation criteria were selected from three dimensions—drive… More >

  • Open Access

    ARTICLE

    Evaluation of Some Egyptian Barley Cultivars Resistance to Foliar Fungal Diseases in Drought-Prone Environments under Field Conditions

    Sally Negm1, Badwy Mohdly2, Motrih Al-Mutiry3, Wael Shehata4, Karima Ahmed5, Mohamed Abou-Zeid2,*, Rana Elessawy6, Ashgan Abdel-Azim5, Amr Abdel-Fattah2, Amani Omar Abuzaid7, Enas A. Almanzalawi7, Tahani M. Alqahtani7, Shouaa A. Alrobaish8, Diaa Abd El Moneim9, Ahmed M. Abbas10,11, Mohammed O. Alshaharni10, Huda Alghamdi10, Shaimaa G. Salama12, Kairy Amer5

    Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 347-377, 2025, DOI:10.32604/phyton.2025.057448 - 06 March 2025

    Abstract Barley (Hordeum vulgare L.) is a significant global crop that thrives in various climatic and drought-stress conditions. Furthermore, increased drought intervals and more significant weather variability resulting from climate change can affect the severity of plant diseases. Therefore, two primary objectives of integrated disease management regarding climate change are identifying cultivars resistant to foliar diseases and understanding disease progression under abiotic stress. In the current study, we assessed the quantitative foliar disease resistance of 17 commercial barley cultivars under both normal and water stress conditions over two growing seasons (from 2020/21 to 2021/22). The findings demonstrated… More >

  • Open Access

    ARTICLE

    Combined Architecture of Destination Sequence Distance Vector (DSDV) Routing with Software Defined Networking (SDN) and Blockchain in Cyber-Physical Systems

    Jawad Ahmad Ansari1, Mohamad Khairi Ishak2,*, Khalid Ammar2

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2311-2330, 2025, DOI:10.32604/cmc.2025.057848 - 17 February 2025

    Abstract Cyber-Physical System (CPS) devices are increasing exponentially. Lacking confidentiality creates a vulnerable network. Thus, demanding the overall system with the latest and robust solutions for the defence mechanisms with low computation cost, increased integrity, and surveillance. The proposal of a mechanism that utilizes the features of authenticity measures using the Destination Sequence Distance Vector (DSDV) routing protocol which applies to the multi-WSN (Wireless Sensor Network) of IoT devices in CPS which is developed for the Device-to-Device (D2D) authentication developed from the local-chain and public chain respectively combined with the Software Defined Networking (SDN) control and… More >

  • Open Access

    REVIEW

    Development and application prospect of stem cell combined with 3D printing technology for oral disease

    YIXIAN YOU1,3,#, YIHUNG LEE2,#, YUSHIN HU2, YOUHUI XU3, JOUCHEN CHEN2, WEI JIANG1, CHANGHAI LIU1, ENQIANG CHEN1, HONG TANG1, HUA ZHANG4,*, DONGBO WU1,*

    BIOCELL, Vol.49, No.1, pp. 45-59, 2025, DOI:10.32604/biocell.2024.057259 - 24 January 2025

    Abstract With organ transplantation facing many dilemmas, tissue and organ regeneration as an alternative has bright prospects. In regenerative medicine, Three-dimensional (3D) printing technology and stem cells has been widely applied to the treatment of diseases related to tissue or organ replacement in dentistry, respectively. However, there are very few studies on the combination of the two, and even fewer clinical studies have been reported in dentistry. In this review, the current oral tissue engineering in vivo and in vitro based on 3D printing and stem cell technology will be summarized, and the discussion on the development… More >

  • Open Access

    ARTICLE

    Steam Methane Reforming (SMR) Combined with Ship Based Carbon Capture (SBCC) for an Efficient Blue Hydrogen Production on Board Liquefied Natural Gas (LNG) Carriers

    Ikram Belmehdi1,*, Boumedienne Beladjine1, Mohamed Djermouni1, Amina Sabeur1, Mohammed El Ganaoui2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.1, pp. 71-85, 2025, DOI:10.32604/fdmp.2024.058510 - 24 January 2025

    Abstract The objective of this study is to propose an optimal plant design for blue hydrogen production aboard a liquefied natural gas (LNG) carrier. This investigation focuses on integrating two distinct processes—steam methane reforming (SMR) and ship-based carbon capture (SBCC). The first refers to the common practice used to obtain hydrogen from methane (often derived from natural gas), where steam reacts with methane to produce hydrogen and carbon dioxide (CO2). The second refers to capturing the CO2 generated during the SMR process on board ships. By capturing and storing the carbon emissions, the process significantly reduces its… More >

  • Open Access

    ARTICLE

    A combined MRI-PSAD risk stratification system for prioritizing prostate biopsies

    Noam Bar-Yaakov1,2, Ziv Savin1,2, Ibrahim Fahoum2,3, Sophie Barnes2,4, Yuval Bar-Yosef1,2, Ofer Yossepowitch1,2, Gal Keren-Paz1,2, Roy Mano1,2

    Canadian Journal of Urology, Vol.31, No.1, pp. 11793-11801, 2024

    Abstract Introduction: Prostate cancer screening with PSA is associated with low specificity; furthermore, little is known about the optimal timing of biopsy. We aimed to evaluate whether a risk classification system combining PSA density (PSAD) and mpMRI can predict clinically significant cancer and determine biopsy timing.
    Materials and methods: We reviewed the medical records of 256 men with a PI-RADS ≥ 3 lesion on mpMRI who underwent transperineal targeted and systematic biopsies of the prostate between 2017-2019. Patients were stratified into three risk groups based on PSAD and mpMRI findings.
    The study endpoint was clinically significant prostate cancer (CSPC).… More >

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