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  • Open Access

    ARTICLE

    Moment Redistribution Effect of the Continuous Glass Fiber Reinforced Polymer-Concrete Composite Slabs Based on Static Loading Experiment

    Zhao-Jun Zhang1, Wen-Wei Wang1,2,*, Jing-Shui Zhen1, Bo-Cheng Li1, De-Cheng Cai1, Yang-Yang Du1, Hui Huang2

    Structural Durability & Health Monitoring, Vol.19, No.1, pp. 105-123, 2025, DOI:10.32604/sdhm.2024.052506 - 15 November 2024

    Abstract This study aimed to investigate the moment redistribution in continuous glass fiber reinforced polymer (GFRP)-concrete composite slabs caused by concrete cracking and steel bar yielding in the negative bending moment zone. An experimental bending moment redistribution test was conducted on continuous GFRP-concrete composite slabs, and a calculation method based on the conjugate beam method was proposed. The composite slabs were formed by combining GFRP profiles with a concrete layer and supported on steel beams to create two-span continuous composite slab specimens. Two methods, epoxy resin bonding, and stud connection, were used to connect the composite… More >

  • Open Access

    ARTICLE

    A Novel YOLOv5s-Based Lightweight Model for Detecting Fish’s Unhealthy States in Aquaculture

    Bing Shi1,*, Jianhua Zhao1, Bin Ma1, Juan Huan2, Yueping Sun3

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2437-2456, 2024, DOI:10.32604/cmc.2024.056377 - 18 November 2024

    Abstract Real-time detection of unhealthy fish remains a significant challenge in intensive recirculating aquaculture. Early recognition of unhealthy fish and the implementation of appropriate treatment measures are crucial for preventing the spread of diseases and minimizing economic losses. To address this issue, an improved algorithm based on the You Only Look Once v5s (YOLOv5s) lightweight model has been proposed. This enhanced model incorporates a faster lightweight structure and a new Convolutional Block Attention Module (CBAM) to achieve high recognition accuracy. Furthermore, the model introduces the α-SIoU loss function, which combines the α-Intersection over Union (α-IoU) and… More >

  • Open Access

    ARTICLE

    Automatic Fetal Segmentation Designed on Computer-Aided Detection with Ultrasound Images

    Mohana Priya Govindarajan*, Sangeetha Subramaniam Karuppaiya Bharathi

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2967-2986, 2024, DOI:10.32604/cmc.2024.055536 - 18 November 2024

    Abstract In the present research, we describe a computer-aided detection (CAD) method aimed at automatic fetal head circumference (HC) measurement in 2D ultrasonography pictures during all trimesters of pregnancy. The HC might be utilized toward determining gestational age and tracking fetal development. This automated approach is particularly valuable in low-resource settings where access to trained sonographers is limited. The CAD system is divided into two steps: to begin, Haar-like characteristics were extracted from ultrasound pictures in order to train a classifier using random forests to find the fetal skull. We identified the HC using dynamic programming,… More >

  • Open Access

    ARTICLE

    A Combined Method of Temporal Convolutional Mechanism and Wavelet Decomposition for State Estimation of Photovoltaic Power Plants

    Shaoxiong Wu1, Ruoxin Li1, Xiaofeng Tao1, Hailong Wu1,*, Ping Miao1, Yang Lu1, Yanyan Lu1, Qi Liu2, Li Pan2

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 3063-3077, 2024, DOI:10.32604/cmc.2024.055381 - 18 November 2024

    Abstract Time series prediction has always been an important problem in the field of machine learning. Among them, power load forecasting plays a crucial role in identifying the behavior of photovoltaic power plants and regulating their control strategies. Traditional power load forecasting often has poor feature extraction performance for long time series. In this paper, a new deep learning framework Residual Stacked Temporal Long Short-Term Memory (RST-LSTM) is proposed, which combines wavelet decomposition and time convolutional memory network to solve the problem of feature extraction for long sequences. The network framework of RST-LSTM consists of two More >

  • Open Access

    ARTICLE

    Caffeic acid hinders the proliferation and migration through inhibition of IL-6 mediated JAK-STAT-3 signaling axis in human prostate cancer

    YUAN YIN1, ZHENGYIN WANG1, YUJIE HU1, JIA WANG1, YI WANG2,*, QUN LU1,*

    Oncology Research, Vol.32, No.12, pp. 1881-1890, 2024, DOI:10.32604/or.2024.048007 - 13 November 2024

    Abstract Background: Caffeic acid (CA) is considered a promising phytochemical that has inhibited numerous cancer cell proliferation. Therefore, it is gaining increasing attention due to its safe and pharmacological applications. In this study, we investigated the role of CA in inhibiting the Interleukin-6 (IL-6)/Janus kinase (JAK)/Signal transducer and activator of transcription-3 (STAT-3) mediated suppression of the proliferation signaling in human prostate cancer cells. Materials and Methods: The role of CA in proliferation and colony formation abilities was studied using 3-[4,5-dimethylthiazol-2-yl]-2,5 diphenyl tetrazolium bromide (MTT) assay and colony formation assays. Tumour cell death and cell cycle arrest were… More >

  • Open Access

    ARTICLE

    Advancing Quantum Technology: Insights Form Mach-Zehnder Interferometer in Quantum State Behaviour and Error Correction

    Priyanka1, Damodarakurup Sajeev2, Shaik Ahmed3, Shankar Pidishety3, Ram Soorat3,*

    Journal of Quantum Computing, Vol.6, pp. 53-66, 2024, DOI:10.32604/jqc.2024.054000 - 14 November 2024

    Abstract The present study delves into the application of investigating quantum state behaviour, particularly focusing on coherent and superposition states. These states, characterized by their remarkable stability and precision, have found extensive utility in various domains of quantum mechanics and quantum information processing. Coherent states are valuable for manipulating quantum systems with accuracy. Superposition states allow quantum systems to exist in numerous configurations at the same time, which paves the way for quantum computing’s capacity for parallel processing. The research accentuates the crucial role of quantum error correction (QEC) in ensuring the stability and reliability of… More >

  • Open Access

    PROCEEDINGS

    Simulation of Temporary Plugging Agent Flow State in Fractures of Hot Dry Rock Considering Environmental Changes

    Zongze Li1, Zirui Yang2, Yue Wu3, Chunming He4, Bo Yu2, Daobing Wang2,*, Yueshe Wang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-4, 2024, DOI:10.32604/icces.2024.012090

    Abstract Geothermal energy is an important renewable energy source, where hot dry rock (HDR) constitutes the primary component, accounting for approximately 90% of the resource. Therefore, the establishment of an efficient HDR geothermal utilization system is a core issue in geothermal resource development. Hydraulic fracturing (HF) technology serves as a crucial means aimed at enhancing the complexity of underground fracture networks and increasing heat exchange efficiency, thus improving the performance of HDR geothermal utilization systems. However, the fracture structure formed by conventional HF techniques is relatively simple, resulting in limited heat exchange areas. Hence, the temporary… More >

  • Open Access

    ARTICLE

    Fuzzy Comprehensive Analysis of Static Mixers Used for Selective Catalytic Reduction in Diesel Engines

    Xin Luan1,*, Guoqing Su1, Hailong Chen1, Min Kuang1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2459-2473, 2024, DOI:10.32604/fdmp.2024.054621 - 28 October 2024

    Abstract The proper selection of a relevant mixer generally requires an effective assessment of several models against the application requirements. This is a complex task, as traditional evaluation methods generally focus only on a single aspect of performance, such as pressure loss, mixing characteristics, or heat transfer. This study assesses a urea-based selective catalytic reduction (SCR) system installed on a ship, where the installation space is limited and the distance between the urea aqueous solution injection position and the reactor is low; therefore, the static mixer installed in this pipeline has special performance requirements. In particular,… More >

  • Open Access

    ARTICLE

    Impact of Land Requisition for Military Training during World War II on Farming and the South Downs Landscape, England

    Nigel Walford*

    Revue Internationale de Géomatique, Vol.33, pp. 445-464, 2024, DOI:10.32604/rig.2024.054535 - 25 October 2024

    Abstract The impact of World War II on the physical landscape of British towns and cities as a result of airborne assault is well known. However, less newsworthy but arguably no less significant is the impact of the war on agriculture and the countryside, especially in South-East England. This paper outlines the building of an historical Geographical Information System (GIS) from different data sources including the National Farm Survey (NFS), Luftwaffe and Royal Air Force (RAF) aerial photographs and basic topographic mapping for the South Downs in East and West Sussex. It explores the impact and… More >

  • Open Access

    ARTICLE

    Itinerary-Dependent Degradation Analysis of a Lithium-Ion Battery Cell for E-Bike Applications in Rwanda

    Aimable Ngendahayo1,*, Adrià Junyent-Ferré2, Joan Marc Rodriguez Bernuz3, Etienne Ntagwirumugara1

    Energy Engineering, Vol.121, No.11, pp. 3121-3131, 2024, DOI:10.32604/ee.2024.053100 - 21 October 2024

    Abstract There are obstacles to the widespread use of small electric vehicles (EVs) in Rwanda, including concerns regarding the battery range and lifespan. Lithium-ion batteries (LIBs) play an important role in EVs. However, their performance declines over time because of several factors. To optimize battery management systems and extend the range of EVs in Rwanda, it is essential to understand the influence of the driving profiles on lithium-ion battery degradation. This study analyzed the degradation patterns of a lithium-ion battery cell that propels an E-bike using various real-world E-bike driving cycles that represent Rwandan driving conditions… More >

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