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  • Open Access

    ARTICLE

    Factors Influencing Proppant Transportation and Hydraulic Fracture Conductivity in Deep Coal Methane Reservoirs

    Fan Yang1,2,*, Honggang Mi1,2, Jian Wu1,2, Qi Yang1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.11, pp. 2637-2656, 2024, DOI:10.32604/fdmp.2024.048574 - 28 October 2024

    Abstract The gas production of deep coalbed methane wells in Linxing-Shenfu block decreases rapidly, the water output is high, the supporting effect is poor, the effective supporting fracture size is limited, and the migration mechanism of proppant in deep coal reservoir is not clear at present. To investigate the migration behavior of proppants in complex fractures during the volume reconstruction of deep coal and rock reservoirs, an optimization test on the conductivity of low-density proppants and simulations of proppant migration in complex fractures of deep coal reservoirs were conducted. The study systematically analyzed the impact of… More >

  • Open Access

    ARTICLE

    Demand-Responsive Transportation Vehicle Routing Optimization Based on Two-Stage Method

    Jingfa Ma, Hu Liu*, Lingxiao Chen

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 443-469, 2024, DOI:10.32604/cmc.2024.056209 - 15 October 2024

    Abstract Demand-responsive transportation (DRT) is a flexible passenger service designed to enhance road efficiency, reduce peak-hour traffic, and boost passenger satisfaction. However, existing optimization methods for initial passenger requests fall short in addressing real-time passenger needs. Consequently, there is a need to develop real-time DRT route optimization methods that integrate both initial and real-time requests. This paper presents a two-stage, multi-objective optimization model for DRT vehicle scheduling. The first stage involves an initial scheduling model aimed at minimizing vehicle configuration, and operational, and CO2 emission costs while ensuring passenger satisfaction. The second stage develops a real-time scheduling… More >

  • Open Access

    PROCEEDINGS

    Source-Sink Matching Model Focusing on the Feasibility of CO2 Pipeline Transport

    Yubo Jiao1, Wei Wang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011157

    Abstract The source-sink matching optimization problem is one of the more important aspects of carbon capture and storage (CCS) system planning studies, and a large number of studies have been conducted using mathematical modeling to assess the feasibility of deployment in the planning region, thus providing important decision support. A framework of optimization system applicable to source-sink matching analysis was constructed based on the structural relationship between directly connected sources and sinks, taking into account multiple factors (transport characteristics, CO2 injection rate and connection period, etc.), which can ensure the feasibility of CO2 pipeline transportation operation and… More >

  • Open Access

    PROCEEDINGS

    Distribution Transport: A High-Efficiency Method for Orbital Uncertainty Propagation

    Changtao Wang1, Honghua Dai1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.010943

    Abstract Orbital uncertainty propagation is fundamental in space situational awareness-related missions such as orbit prediction and tracking. Linear models and full nonlinear Monte Carlo simulations were primarily used to propagate uncertainties [1]. However, these methods hampered the application due to low precision and intensive computation. Over the past two decades, numerous nonlinear uncertainty propagators have been proposed. Among these methods, the state transition tensor (STT) method has been widely used due to its controllable accuracy and high efficiency [2]. However, this method has two drawbacks. First, its semi-analytical formulation is too intricate to implement, which hinders… More >

  • Open Access

    PROCEEDINGS

    Ultrafast Self-Transport of Multi-Scale Droplets Driven by Laplace Pressure Difference and Capillary Suction

    Fujian Zhang1, Ziyang Wang1, Xiang Gao1, Zhongqiang Zhang1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011736

    Abstract Spontaneous droplet transport has broad application prospects in fields such as water collection and microfluidic chips. Despite extensive research in this area, droplet self-transport is still limited by issues such as slow transport velocity, short distance, and poor integrity. Here, a novel cross-hatch textured cone (CHTC) with multistage microchannels and circular grooves is proposed to realize ultrafast directional long-distance self-transport of multi-scale droplets. The CHTC triggers two modes of fluid transport: Droplet transport by Laplace pressure difference and capillary suction pressure-induced fluid transfer in microchannels on cone surfaces. By leveraging the coupling effect of the… More >

  • Open Access

    ARTICLE

    Privacy-Preserving Large-Scale AI Models for Intelligent Railway Transportation Systems: Hierarchical Poisoning Attacks and Defenses in Federated Learning

    Yongsheng Zhu1,2,*, Chong Liu3,4, Chunlei Chen5, Xiaoting Lyu3,4, Zheng Chen3,4, Bin Wang6, Fuqiang Hu3,4, Hanxi Li3,4, Jiao Dai3,4, Baigen Cai1, Wei Wang3,4

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1305-1325, 2024, DOI:10.32604/cmes.2024.054820 - 27 September 2024

    Abstract The development of Intelligent Railway Transportation Systems necessitates incorporating privacy-preserving mechanisms into AI models to protect sensitive information and enhance system efficiency. Federated learning offers a promising solution by allowing multiple clients to train models collaboratively without sharing private data. However, despite its privacy benefits, federated learning systems are vulnerable to poisoning attacks, where adversaries alter local model parameters on compromised clients and send malicious updates to the server, potentially compromising the global model’s accuracy. In this study, we introduce PMM (Perturbation coefficient Multiplied by Maximum value), a new poisoning attack method that perturbs model More >

  • Open Access

    REVIEW

    Glutamine transporters as effective targets in digestive system malignant tumor treatment

    FEI CHU1, KAI TONG1, XIANG GU1, MEI BAO1, YANFEN CHEN1, BIN WANG2, YANHUA SHAO1, LING WEI1,*

    Oncology Research, Vol.32, No.10, pp. 1661-1671, 2024, DOI:10.32604/or.2024.048287 - 18 September 2024

    Abstract Glutamine is one of the most abundant non-essential amino acids in human plasma and plays a crucial role in many biological processes of the human body. Tumor cells take up a large amount of glutamine to meet their rapid proliferation requirements, which is supported by the upregulation of glutamine transporters. Targeted inhibition of glutamine transporters effectively inhibits cell growth and proliferation in tumors. Among all cancers, digestive system malignant tumors (DSMTs) have the highest incidence and mortality rates, and the current therapeutic strategies for DSMTs are mainly surgical resection and chemotherapy. Due to the relatively More > Graphic Abstract

    Glutamine transporters as effective targets in digestive system malignant tumor treatment

  • Open Access

    ARTICLE

    EV Charging Station Load Prediction in Coupled Urban Transportation and Distribution Networks

    Benxin Li*, Xuanming Chang

    Energy Engineering, Vol.121, No.10, pp. 3001-3018, 2024, DOI:10.32604/ee.2024.051332 - 11 September 2024

    Abstract The increasingly large number of electric vehicles (EVs) has resulted in a growing concern for EV charging station load prediction for the purpose of comprehensively evaluating the influence of the charging load on distribution networks. To address this issue, an EV charging station load prediction method is proposed in coupled urban transportation and distribution networks. Firstly, a finer dynamic urban transportation network model is formulated considering both nodal and path resistance. Then, a finer EV power consumption model is proposed by considering the influence of traffic congestion and ambient temperature. Thirdly, the Monte Carlo method… More > Graphic Abstract

    EV Charging Station Load Prediction in Coupled Urban Transportation and Distribution Networks

  • Open Access

    ARTICLE

    MiR-219a-5p exerts a protective function in a mouse model of myocardial infarction

    ZULONG SHENG*, YANRU HE, JUNYAN CAI, YUQIN JI, YUYU YAO, GENSHAN MA

    BIOCELL, Vol.48, No.9, pp. 1369-1377, 2024, DOI:10.32604/biocell.2024.049905 - 04 September 2024

    Abstract Background: Myocardial infarction (MI) is known worldwide for its important disabling features, including myocarditis and cardiomyocyte apoptosis. It is believed that microRNA (miRNA) has a role in the cellular processes of apoptosis and myocarditis, and miR-219a-5p has been found to suppress the inflammatory response. However, unknown is the precise mechanism by which miR-219a-5p contributes to MI. Methods: We measured the expression of miR-219a-5p and evaluated its effects on target proteins, inflammatory factors, and apoptosis in a mouse model of MI. Echocardiography was utilized to examine the MI clinical index, and triphenyl tetrazolium chloride staining was More >

  • Open Access

    ARTICLE

    Droplet Condensation and Transport Properties on Multiple Composite Surface: A Molecular Dynamics Study

    Haowei Hu1,2,*, Qi Wang1, Xinnuo Chen1, Qin Li3, Mu Du4, Dong Niu5,*

    Frontiers in Heat and Mass Transfer, Vol.22, No.4, pp. 1245-1259, 2024, DOI:10.32604/fhmt.2024.054223 - 30 August 2024

    Abstract To investigate the microscopic mechanism underlying the influence of surface-chemical gradient on heat and mass recovery, a molecular dynamics model including droplet condensation and transport process has been developed to examine heat and mass recovery performance. This work aimed at identify optimal conditions for enhancing heat and mass recovery through the combination of wettability gradient and nanopore transport. For comprehensive analysis, the structure in the simulation was categorized into three distinct groups: a homogeneous structure, a small wettability gradient, and a large wettability gradient. The homogeneous surface demonstrated low efficiency in heat and mass transfer, More >

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