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  • Open Access

    ARTICLE

    LncRNA-POIR knockdown promotes hepatocellular carcinoma sensitivity to sorafenib through upregulating miR-182-5p and inhibiting autophagy

    JIAN XU1,#, HAILONG GE1,#, CHEN CHAO1, FENG MO1, YU WANG1, DENGKUI ZHANG1, XIAOXIAO ZHENG2, LI ZHENG2, XUEMEI LU2, WEI CHEN2, QUN XU1,*, WEIXIN YU1,*

    BIOCELL, Vol.46, No.6, pp. 1493-1503, 2022, DOI:10.32604/biocell.2022.016962 - 07 February 2022

    Abstract Although sorafenib has been found to prolong the survival time of patients with hepatocellular carcinoma (HCC), sorafenib resistance remains an important challenge. Increasing studies have demonstrated that long noncoding RNAs (lncRNAs) contribute to drug resistance in a wide number of cancers. Human periodontal ligament stem cell (PDLSC) osteogenesis impairment-related lncRNA (POIR) is a recently defined lncRNA for which little is known regarding its function. Our study aimed to reveal the role of POIR in the development of HCC cell sorafenib resistance. The level of POIR expression in patients and tumor cells was examined by Reverse… More >

  • Open Access

    ARTICLE

    Partial Anomalous Pulmonary Venous Connection and the Nature of Associated Sinus Venosus Defect

    Ling Sun1,#, Chengcheng Pang1,#, Xiaoyan Wang2,#, Mingguo Xu3, Zhiwei Zhang1,*, Shushui Wang1,*

    Congenital Heart Disease, Vol.17, No.2, pp. 201-214, 2022, DOI:10.32604/chd.2022.018453 - 26 January 2022

    Abstract Background: Partial anomalous pulmonary venous connection (PAPVC) is frequently associated with atrial septal defect (ASD), especially sinus venosus defect (SVD). Although Waggstaffe described the pathology of SVDs in 1868, the exact anatomic features and the nature of SVD remains controversial. SVDs with no posterior atrial rim were observed in recent years. However, no studies suggested that absence of the residual posterior atrial septal tissue might be the key feature of SVD. The aims of this study were to investigate if absence of posterior rim of atrial septum played a crucial role in patients with SVD. Methods:More >

  • Open Access

    ARTICLE

    Research on Power Consumption Anomaly Detection Based on Fuzzy Clustering and Trend Judgment

    Wei Xiong1,2, Xianshan Li1,2,*, Yu Zou3, Shiwei Su1,2, Li Zhi1,2

    Energy Engineering, Vol.119, No.2, pp. 755-765, 2022, DOI:10.32604/ee.2022.018009 - 24 January 2022

    Abstract Among the end-users of the power grid, especially in the rural power grid, there are a large number of users and the situation is complex. In this complex situation, there are more leakage caused by insulation damage and a small number of users stealing electricity. Maintenance staff will take a long time to determine the location of the abnormal user meter box. In view of this situation, the method of subjective fuzzy clustering and quartile difference is adopted to determine the partition threshold. The power consumption data of end-users are divided into three regions: high, More >

  • Open Access

    ARTICLE

    Hybridization of CNN with LBP for Classification of Melanoma Images

    Saeed Iqbal1,*, Adnan N. Qureshi1, Ghulam Mustafa2

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4915-4939, 2022, DOI:10.32604/cmc.2022.023178 - 14 January 2022

    Abstract Skin cancer (melanoma) is one of the most aggressive of the cancers and the prevalence has significantly increased due to increased exposure to ultraviolet radiation. Therefore, timely detection and management of the lesion is a critical consideration in order to improve lifestyle and reduce mortality. To this end, we have designed, implemented and analyzed a hybrid approach entailing convolutional neural networks (CNN) and local binary patterns (LBP). The experiments have been performed on publicly accessible datasets ISIC 2017, 2018 and 2019 (HAM10000) with data augmentation for in-distribution generalization. As a novel contribution, the CNN architecture More >

  • Open Access

    ARTICLE

    Deep Learning Based Intrusion Detection in Cloud Services for Resilience Management

    S. Sreenivasa Chakravarthi1,*, R. Jagadeesh Kannan2, V. Anantha Natarajan3, Xiao-Zhi Gao4

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5117-5133, 2022, DOI:10.32604/cmc.2022.022351 - 14 January 2022

    Abstract In the global scenario one of the important goals for sustainable development in industrial field is innovate new technology, and invest in building infrastructure. All the developed and developing countries focus on building resilient infrastructure and promote sustainable developments by fostering innovation. At this juncture the cloud computing has become an important information and communication technologies model influencing sustainable development of the industries in the developing countries. As part of the innovations happening in the industrial sector, a new concept termed as ‘smart manufacturing’ has emerged, which employs the benefits of emerging technologies like internet… More >

  • Open Access

    ARTICLE

    Sum Rate Maximization-based Fair Power Allocation in Downlink NOMA Networks

    Mohammed Abd-Elnaby*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5099-5116, 2022, DOI:10.32604/cmc.2022.022020 - 14 January 2022

    Abstract Non-orthogonal multiple access (NOMA) has been seen as a promising technology for 5G communication. The performance optimization of NOMA systems depends on both power allocation (PA) and user pairing (UP). Most existing researches provide sub-optimal solutions with high computational complexity for PA problem and mainly focuses on maximizing the sum rate (capacity) without considering the fairness performance. Also, the joint optimization of PA and UP needs an exhaustive search. The main contribution of this paper is the proposing of a novel capacity maximization-based fair power allocation (CMFPA) with low-complexity in downlink NOMA. Extensive investigation and… More >

  • Open Access

    ARTICLE

    IoMT Enabled Melanoma Detection Using Improved Region Growing Lesion Boundary Extraction

    Tanzila Saba1, Rabia Javed2,3, Mohd Shafry Mohd Rahim2, Amjad Rehman1,*, Saeed Ali Bahaj4

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 6219-6237, 2022, DOI:10.32604/cmc.2022.020865 - 14 January 2022

    Abstract The Internet of Medical Things (IoMT) and cloud-based healthcare applications, services are beneficial for better decision-making in recent years. Melanoma is a deadly cancer with a higher mortality rate than other skin cancer types such as basal cell, squamous cell, and Merkel cell. However, detection and treatment at an early stage can result in a higher chance of survival. The classical methods of detection are expensive and labor-intensive. Also, they rely on a trained practitioner's level, and the availability of the needed equipment is essential for the early detection of Melanoma. The current improvement in… More >

  • Open Access

    ARTICLE

    A novel prognostic target-gene signature and nomogram based on an integrated bioinformatics analysis in hepatocellular carcinoma

    RUI XU1, QIBIAO WU1, YUHAN GONG2, YONGZHE WU1, QINGJIA CHI1,*, DA SUN3,*

    BIOCELL, Vol.46, No.5, pp. 1261-1288, 2022, DOI:10.32604/biocell.2022.018427 - 06 January 2022

    Abstract There is currently no effective solution to the problem of poor prognosis and recurrence of HCC. The technology of immunotherapy and prognosis of genetic material has made continuous progress in recent years. In the study, a 5-gene signature was established for the prognosis of HCC through biological information, and the immune infiltration of HCC patients was studied. After studied HCC patients’ immune infiltration, the paper screened the differential target genes of miR-126-3p in HCC downloaded from TCGA database, and uses WGCNA method to select the modular genes highly relevant to M2 macrophage. Then we use… More >

  • Open Access

    ARTICLE

    KIF18A is a potential prognostic factor and promotes tumor progression in oral tongue squamous cell carcinoma

    XIAOFEI LV1,#, XI YU2,#, JIE XU3, MINGYI WANG4, CHENG PENG1,*

    BIOCELL, Vol.46, No.5, pp. 1189-1196, 2022, DOI:10.32604/biocell.2022.018249 - 06 January 2022

    Abstract The kinesin family member 18A protein was dysregulated in several human cancers and involved in cancer progression. However, the significance in oral tongue squamous cell carcinoma (OTSCC) has not been studied. The present study was intended to explore the functions of KIF18A in oral tongue squamous cell carcinoma. The immunohistochemistry (IHC) assay was performed to assess the relationships between the KIF18A protein expression level and clinical-pathological features of the patients. The biological functions of KIF18A in OTSCC cells were investigated by the experiments in vitro and in vivo. Based on immunohistochemistry, we found that KIF18A was correlated… More >

  • Open Access

    ARTICLE

    miR-181b promotes the oncogenesis of renal cell carcinoma by targeting TIMP3

    YUHUA ZOU1,#, LEI ZHANG2,#, XIN ZHONG3,*

    BIOCELL, Vol.46, No.5, pp. 1309-1317, 2022, DOI:10.32604/biocell.2022.018167 - 06 January 2022

    Abstract Renal cell carcinoma (RCC) has a poor prognosis due to limited diagnosis and treatment. Thus, it is necessary to find novel prognostic biomarkers and therapeutic targets. The aberrant expression of microRNAs plays an important role in RCC oncogenesis. Tissue inhibitors of metalloproteinase 3 (TIMP3) acts as a downstream target of miR-181b. The aim of this study was to understand the role and molecular mechanism of miR-181b in RCC oncogenesis. The results showed that miR-181b expression was significantly higher in RCC tumour tissues, especially in those with significant invasion or metastasis. miR-181b overexpression promoted proliferation and… More >

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