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  • Open Access

    ARTICLE

    CO2 Injection to Mitigate Reservoir Damage in Edge/Bottom-Water Condensate Gas Reservoirs

    Wen Wang1,*, Yulong Zhao1, Bo Li2, Bowen Guan1, Haoran Sun1,3, Tao Zhang1

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2331-2357, 2025, DOI:10.32604/fdmp.2025.068990 - 30 September 2025

    Abstract Condensate gas reservoirs have attracted increasing attention in recent years due to their significant development potential and dual value from both natural gas and condensate oil. However, their exploitation is often hindered by the dual challenges of retrograde condensation and water invasion, which can markedly reduce recovery factors. CO2 injection offers a promising solution by alleviating condensate blockage, suppressing water influx, and simultaneously enabling geological CO2 storage. Accordingly, research on optimizing CO2 injection to mitigate formation damage is critical for the efficient development and management of edge- and bottom-water condensate gas reservoirs. In this study, a long-core… More >

  • Open Access

    ARTICLE

    LREGT: Local Relationship Enhanced Gated Transformer for Image Captioning

    Yuting He, Zetao Jiang*

    CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5487-5508, 2025, DOI:10.32604/cmc.2025.065169 - 30 July 2025

    Abstract Existing Transformer-based image captioning models typically rely on the self-attention mechanism to capture long-range dependencies, which effectively extracts and leverages the global correlation of image features. However, these models still face challenges in effectively capturing local associations. Moreover, since the encoder extracts global and local association features that focus on different semantic information, semantic noise may occur during the decoding stage. To address these issues, we propose the Local Relationship Enhanced Gated Transformer (LREGT). In the encoder part, we introduce the Local Relationship Enhanced Encoder (LREE), whose core component is the Local Relationship Enhanced Module… More >

  • Open Access

    ARTICLE

    lncRNA SNHG4 enhanced gastric cancer progression by modulating miR-409-3p/CREB1 axis

    ZHOUYANG CHENG1,#, YUCHEN HUA2,#, YANG CAO3, JUN QIN1,*

    Oncology Research, Vol.33, No.1, pp. 185-198, 2025, DOI:10.32604/or.2024.042281 - 20 December 2024

    Abstract Objective: Gastric cancer (GC) is a globally common cancer characterized by high incidence and mortality worldwide. Advances in the molecular understanding of GC provide promising targets for GC diagnosis and therapy. Long non-coding RNAs (lncRNAs) and their downstream regulators are regarded to be implicated in the progression of multiple types of malignancies. Studies have shown that the lncRNA small nucleolar RNA host gene 4 (SNHG4) serves as a tumor promoter in various malignancies, while its function in GC has yet to be characterized. Therefore, our study aimed to explore the role and underlying mechanism of… More >

  • Open Access

    ARTICLE

    An Enhanced GAN for Image Generation

    Chunwei Tian1,2,3,4, Haoyang Gao2,3, Pengwei Wang2, Bob Zhang1,*

    CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 105-118, 2024, DOI:10.32604/cmc.2024.052097 - 18 July 2024

    Abstract Generative adversarial networks (GANs) with gaming abilities have been widely applied in image generation. However, gamistic generators and discriminators may reduce the robustness of the obtained GANs in image generation under varying scenes. Enhancing the relation of hierarchical information in a generation network and enlarging differences of different network architectures can facilitate more structural information to improve the generation effect for image generation. In this paper, we propose an enhanced GAN via improving a generator for image generation (EIGGAN). EIGGAN applies a spatial attention to a generator to extract salient information to enhance the truthfulness… More >

  • Open Access

    ARTICLE

    Design of Six Element MIMO Antenna with Enhanced Gain for 28/38 GHz mm-Wave 5G Wireless Application

    K. Jayanthi1,*, A. M. Kalpana2

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1689-1705, 2023, DOI:10.32604/csse.2023.034613 - 09 February 2023

    Abstract The fifth-generation (5G) wireless technology is the most recent standardization in communication services of interest across the globe. The concept of Multiple-Input-Multiple-Output antenna (MIMO) systems has recently been incorporated to operate at higher frequencies without limitations. This paper addresses, design of a high-gain MIMO antenna that offers a bandwidth of 400 MHz and 2.58 GHz by resonating at 28 and 38 GHz, respectively for 5G millimeter (mm)-wave applications. The proposed design is developed on a RT Duroid 5880 substrate with a single elemental dimension of 9.53 × 7.85 × 0.8 mm3. The patch antenna is fully grounded and is fed with More >

  • Open Access

    ARTICLE

    Automated Disassembly Sequence Prediction for Industry 4.0 Using Enhanced Genetic Algorithm

    Anil Kumar Gulivindala1, M. V. A. Raju Bahubalendruni1, R. Chandrasekar1,2, Ejaz Ahmed2, Mustufa Haider Abidi3,*, Abdulrahman Al-Ahmari4

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2531-2548, 2021, DOI:10.32604/cmc.2021.018014 - 21 July 2021

    Abstract The evolution of Industry 4.0 made it essential to adopt the Internet of Things (IoT) and Cloud Computing (CC) technologies to perform activities in the new age of manufacturing. These technologies enable collecting, storing, and retrieving essential information from the manufacturing stage. Data collected at sites are shared with others where execution automatedly occurs. The obtained information must be validated at manufacturing to avoid undesirable data losses during the de-manufacturing process. However, information sharing from the assembly level at the manufacturing stage to disassembly at the product end-of-life state is a major concern. The current… More >

  • Open Access

    ARTICLE

    TRANSIENT RAYLEIGH-BÉNARD-MARANGONI CONVECTION ENHANCED GAS-LIQUID SOLUTE TRANSFER IN THIN LAYERS

    Muthasim Fahmy, Zhifa Sun

    Frontiers in Heat and Mass Transfer, Vol.2, No.4, pp. 1-14, 2011, DOI:10.5098/hmt.v2.4.3003

    Abstract A gas-liquid solute transfer process initiated in a closed vessel can exhibit Rayleigh-Bénard-Marangoni (RBM) convection enhanced mass transfer. For short exposure times experimental and theoretical results demonstrate that for deep liquid systems prior to solute penetration across the depth of the fluid, the stability thresholds of the system decreases with time. For thin liquid layers at longer exposure times the mass transfer enhancement under RBM convection can be affected in two ways: (1) solute penetration to the bottom liquid-solid boundary causing a departure from a penetration type concentration profile; (2) solute penetration to the top… More >

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