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  • Open Access


    A Research Progress of CO2-Responsive Plugging Channeling Gels

    Yang Xiong1,2, Jianxin Liu1,2,*, Xianhao Yi2, Bangyan Xiao2, Dan Wu2, Biao Wu2, Chunyu Gao2

    Energy Engineering, Vol.121, No.7, pp. 1759-1780, 2024, DOI:10.32604/ee.2024.048536

    Abstract In the heterogeneous reservoirs, CO2 flooding easily leads to CO2 gas channeling, which can seriously affect sweeping efficiency and reduce oil recovery. After thoroughly investigating the advantages and shortcomings of various CO2 plugging technologies, this paper focuses on the feasibility of improving conventional water-alternating gas (WAG) through CO2-responsive gel materials. Based on the different chemical reaction mechanisms between the unique chemical structure and CO2, changes in the material’s physical and chemical properties can respond to CO2. The feasibility of utilizing these property changes for CO2-responsive plugging is explored. Various CO2-responsive gels and gel nanoparticles have been extensively researched in More >

  • Open Access


    Power Quality Disturbance Identification Basing on Adaptive Kalman Filter and Multi-Scale Channel Attention Fusion Convolutional Network

    Feng Zhao, Guangdi Liu*, Xiaoqiang Chen, Ying Wang

    Energy Engineering, Vol.121, No.7, pp. 1865-1882, 2024, DOI:10.32604/ee.2024.048209

    Abstract In light of the prevailing issue that the existing convolutional neural network (CNN) power quality disturbance identification method can only extract single-scale features, which leads to a lack of feature information and weak anti-noise performance, a new approach for identifying power quality disturbances based on an adaptive Kalman filter (KF) and multi-scale channel attention (MS-CAM) fused convolutional neural network is suggested. Single and composite-disruption signals are generated through simulation. The adaptive maximum likelihood Kalman filter is employed for noise reduction in the initial disturbance signal, and subsequent integration of multi-scale features into the conventional CNN… More >

  • Open Access


    CLIC1 Induces Drug Resistance in Human Choriocarcinoma Through Positive Regulation of MRP1

    Jinhui Wu, Dongshuang Wang

    Oncology Research, Vol.25, No.6, pp. 863-871, 2017, DOI:10.3727/096504016X14772315906527

    Abstract Chemotherapy is typically used to treat choriocarcinoma. However, a small proportion of this malignancy develops resistance to common chemotherapeutic drugs such as methotrexate (MTX) and floxuridine (FUDR). This study aimed to investigate the role and potential mechanisms of chloride intracellular channel protein 1 (CLIC1) in the development of chemoresistance in choriocarcinoma JeG3 cells. Two chemoresistant sublines were induced from their parental cell line JeG3 through intermittent exposure to MTX (named JeG3/MTX) or FUDR (named JeG3/FUDR). It was found that expression of CLIC1 was significantly higher in the chemoresistant sublines JeG3/MTX and JeG3/FUDR than in their… More >

  • Open Access


    CXCL5 Plays a Promoting Role in Osteosarcoma Cell Migration and Invasion in Autocrine- and Paracrine-Dependent Manners

    Hongsheng Dang, Wuzhou Wu, Bo Wang, Cao Cui, Juwei Niu, Jie Chen, Ziqiu Chen, Yi Liu

    Oncology Research, Vol.25, No.2, pp. 177-186, 2017, DOI:10.3727/096504016X14732772150343

    Abstract CXCL5, a CXC-type chemokine, is an important attractant for granulocytic immune cells by binding to its receptor CXCR2. Recently, CXCL5/CXCR2 has been found to play an oncogenic role in many human cancers. However, the exact role of CXCL5 in osteosarcoma cell migration and invasion has not been revealed. Here we found that the protein expression of CXCL5 was significantly increased in osteosarcoma tissues compared with that in matched adjacent nontumor tissues. Moreover, the expression of CXCL5 was significantly associated with advanced clinical stage and metastasis. Further investigation showed that the CXCL5 expression levels were also… More >

  • Open Access


    MicroRNA-139-3p Suppresses Tumor Growth and Metastasis in Hepatocellular Carcinoma by Repressing ANXA2R

    Zeng Cheng Zou*1, Min Dai*1, Zeng Yin Huang, Yi Lu, He Ping Xie*, Yi Fang Li§, Yue Li*, Ying Tan, Feng Lin Wang*

    Oncology Research, Vol.26, No.9, pp. 1391-1399, 2018, DOI:10.3727/096504018X15178798885361

    Abstract The direct roles of miR-139-3p on hepatocellular carcinoma (HCC) cell growth and metastasis remain poorly understood. We attempted to demonstrate the regulatory role of miR-139-3p in HCC progression and its underlying mechanisms. Here we showed that miR-139-3p expression was significantly reduced in the HCC tissues compared to paratumor tissues. Exogenous overexpression of miR-139-3p inhibited the migration and invasion of HCC cells, whereas downregulation of miR-139-3p was able to induce HCC HepG2 and SNU-449 cell migration and invasion. In addition, miR-139-3p inhibited HCC growth and lung metastasis in an in vivo mouse model, which is mainly More >

  • Open Access


    Ailanthone Promotes Human Vestibular Schwannoma Cell Apoptosis and Autophagy by Downregulation of miR-21

    Peizhen Yang*, Dezhong Sun*, Fei Jiang

    Oncology Research, Vol.26, No.6, pp. 941-948, 2018, DOI:10.3727/096504018X15149775533331

    Abstract Ailanthone (AIL) is a quassinoid isolated from the traditional Chinese medicinal herb Ailanthus altissima. The antitumor activities of AIL have been reported in several cancers. The purpose of the present study was to explore the effect of AIL on vestibular schwannomas (VSs). Various concentrations of AIL (0–1 µM) were used to treat human primary VS cells, and then cell viability, proliferation, apoptosis, and autophagy were assessed. Expression of miR-21 in VS cells was altered by miRNA transfection. The functional actions of AIL on miR-21 dysregulated cells were also assessed. AIL significantly reduced the viability of VS… More >

  • Open Access


    Emodin Induces Apoptosis of Colon Cancer Cells via Induction of Autophagy in a ROS-Dependent Manner

    Yuanyuan Wang*1, Qin Luo*1, Xianlu He†1, He Wei*, Ting Wang*, Jichun Shao, Xinni Jiang*

    Oncology Research, Vol.26, No.6, pp. 889-899, 2018, DOI:10.3727/096504017X15009419625178

    Abstract Recent studies revealed that emodin extracted from Chinese herbs exhibits an anticancer effect on different cancer types, including colon cancer. However, the mechanism is not well understood. In our study, we confirmed that emodin treatment inhibited cell viability and induced apoptosis in colon cancer cells. Further experiments found that emodin was also able to induce autophagy, which is indispensible for apoptosis induced by emodin. More interestingly, emodin treatment also results in mitochondrial dysfunction and ROS accumulation in colon cancer cells. Finally, we stressed that ROS accumulation is essential for autophagy and apoptosis induced by emodin. More >

  • Open Access


    A Planning Method for Operational Test of UAV Swarm Based on Mission Reliability

    Jingyu Wang1, Ping Jiang1,*, Jianjun Qi2

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1889-1918, 2024, DOI:10.32604/cmes.2024.049813

    Abstract The unmanned aerial vehicle (UAV) swarm plays an increasingly important role in the modern battlefield, and the UAV swarm operational test is a vital means to validate the combat effectiveness of the UAV swarm. Due to the high cost and long duration of operational tests, it is essential to plan the test in advance. To solve the problem of planning UAV swarm operational test, this study considers the multi-stage feature of a UAV swarm mission, composed of launch, flight and combat stages, and proposes a method to find test plans that can maximize mission reliability.… More >

  • Open Access


    Improving Channel Estimation in a NOMA Modulation Environment Based on Ensemble Learning

    Lassaad K. Smirani1, Leila Jamel2,*, Latifah Almuqren2

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1315-1337, 2024, DOI:10.32604/cmes.2024.047551

    Abstract This study presents a layered generalization ensemble model for next generation radio mobiles, focusing on supervised channel estimation approaches. Channel estimation typically involves the insertion of pilot symbols with a well-balanced rhythm and suitable layout. The model, called Stacked Generalization for Channel Estimation (SGCE), aims to enhance channel estimation performance by eliminating pilot insertion and improving throughput. The SGCE model incorporates six machine learning methods: random forest (RF), gradient boosting machine (GB), light gradient boosting machine (LGBM), support vector regression (SVR), extremely randomized tree (ERT), and extreme gradient boosting (XGB). By generating meta-data from five… More >

  • Open Access


    A New Malicious Code Classification Method for the Security of Financial Software

    Xiaonan Li1,2, Qiang Wang1, Conglai Fan2,3, Wei Zhan1, Mingliang Zhang4,*

    Computer Systems Science and Engineering, Vol.48, No.3, pp. 773-792, 2024, DOI:10.32604/csse.2024.039849

    Abstract The field of finance heavily relies on cybersecurity to safeguard its systems and clients from harmful software. The identification of malevolent code within financial software is vital for protecting both the financial system and individual clients. Nevertheless, present detection models encounter limitations in their ability to identify malevolent code and its variations, all while encompassing a multitude of parameters. To overcome these obstacles, we introduce a lean model for classifying families of malevolent code, formulated on Ghost-DenseNet-SE. This model integrates the Ghost module, DenseNet, and the squeeze-and-excitation (SE) channel domain attention mechanism. It substitutes the… More >

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