Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (693)
  • Open Access

    REVIEW

    Current status of gene therapy in melanoma treatment

    YONGLU WANG1,2,*, WEI YOU1, XUEMING LI3,4,*

    BIOCELL, Vol.44, No.2, pp. 167-174, 2020, DOI:10.32604/biocell.2020.09023 - 27 May 2020

    Abstract Melanoma is the deadliest type of skin cancer and which has a high ability of metastasis. Surgery is an effective method to treat I or II stage melanoma patients. However, there are few treatment options for metastatic melanoma. Gene therapy is one of the attractive options and is considered as the future direction for treating melanoma. This review mainly discusses the properties and challenges of the various gene therapies in melanoma, especially the delivery systems and gene targeting. More >

  • Open Access

    ARTICLE

    State-Based Control Feature Extraction for Effective Anomaly Detection in Process Industries

    Ming Wan1, Jinfang Li1, Jiangyuan Yao2, *, Rongbing Wang1, 3, Hao Luo1

    CMC-Computers, Materials & Continua, Vol.63, No.3, pp. 1415-1431, 2020, DOI:10.32604/cmc.2020.09692 - 30 April 2020

    Abstract In process industries, the characteristics of industrial activities focus on the integrality and continuity of production process, which can contribute to excavating the appropriate features for industrial anomaly detection. From this perspective, this paper proposes a novel state-based control feature extraction approach, which regards the finite control operations as different states. Furthermore, the procedure of state transition can adequately express the change of successive control operations, and the statistical information between different states can be used to calculate the feature values. Additionally, OCSVM (One Class Support Vector Machine) and BPNN (BP Neural Network), which are More >

  • Open Access

    ARTICLE

    An Adaptive Power Allocation Scheme for Performance Improvement of Cooperative SWIPT NOMA Wireless Networks

    Manimekalai Thirunavukkarasu1, Romera Joan Sparjan1, *, Laxmikandan Thangavelu1

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 1043-1064, 2020, DOI:10.32604/cmc.2020.09819 - 01 May 2020

    Abstract Future wireless networks demand high spectral efficiency, energy efficiency and reliability. Cooperative non-orthogonal multiple access (NOMA) with simultaneous wireless information and power transfer (SWIPT) is considered as one of the novel techniques to meet this demand. In this work, an adaptive power allocation scheme called SWIPT based adaptive power allocation (SWIPT-APA-NOMA) is proposed for a power domain NOMA network. The proposed scheme considers the receiver sensitivity of the end users while calculating the power allocation coefficients in order to prevent wastage of power allocated to user in outage and by offering priority to any one… More >

  • Open Access

    ARTICLE

    Performance Analysis of Relay Based NOMA Cooperative Transmission under Cognitive Radio Network

    Yinghua Zhang1, 2, Jian Liu1, *, Yunfeng Peng1, Yanfang Dong2, Guozhong Sun2, Hao Huang3, Changming Zhao4, 5

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 197-212, 2020, DOI:10.32604/cmc.2020.07059 - 30 March 2020

    Abstract This paper proposes a hybrid spectrum accessing mechanism by using NOMA-based cooperative transmission and beam-forming technology. In this mechanism, the secondary user employs spectrum-sensing technology to detect the existence of the primary user. If the primary user does not exist, the secondary source user directly transmits data to the destination user. If the primary user exists, the secondary source user finds the optimal relay according to certain selection principle before transmitting data to the destination user through the chosen relay node. For the signal receiving stage, the secondary user takes use of beam-forming technology to More >

  • Open Access

    ARTICLE

    Unsupervised Anomaly Detection via DBSCAN for KPIs Jitters in Network Managements

    Haiwen Chen1, Guang Yu1, Fang Liu2, Zhiping Cai1, *, Anfeng Liu3, Shuhui Chen1, Hongbin Huang1, Chak Fong Cheang4

    CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 917-927, 2020, DOI:10.32604/cmc.2020.05981

    Abstract For many Internet companies, a huge amount of KPIs (e.g., server CPU usage, network usage, business monitoring data) will be generated every day. How to closely monitor various KPIs, and then quickly and accurately detect anomalies in such huge data for troubleshooting and recovering business is a great challenge, especially for unlabeled data. The generated KPIs can be detected by supervised learning with labeled data, but the current problem is that most KPIs are unlabeled. That is a time-consuming and laborious work to label anomaly for company engineers. Build an unsupervised model to detect unlabeled More >

  • Open Access

    ARTICLE

    A Convolution-Based System for Malicious URLs Detection

    Chaochao Luo1, Shen Su2, *, Yanbin Sun2, Qingji Tan3, Meng Han4, Zhihong Tian2, *

    CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 399-411, 2020, DOI:10.32604/cmc.2020.06507

    Abstract Since the web service is essential in daily lives, cyber security becomes more and more important in this digital world. Malicious Uniform Resource Locator (URL) is a common and serious threat to cybersecurity. It hosts unsolicited content and lure unsuspecting users to become victim of scams, such as theft of private information, monetary loss, and malware installation. Thus, it is imperative to detect such threats. However, traditional approaches for malicious URLs detection that based on the blacklists are easy to be bypassed and lack the ability to detect newly generated malicious URLs. In this paper, More >

  • Open Access

    ARTICLE

    Le vandalisme dans l’information géographique volontaire

    Du concept à la détection non supervisée d’anomalie

    Quy Thy Truong1 , Guillaume Touya2, Cyril de Runz3

    Revue Internationale de Géomatique, Vol.29, No.1, pp. 31-56, 2019, DOI:10.3166/rig.2019.00073

    Abstract Dans un contexte où le vandalisme de l’information géographique volontaire constitue une réelle menace pour la qualité des données, cet article propose une technique permettant de le détecter. Tout d’abord, nous examinons les différentes définitions du vandalisme, mettant en avant la complexité de cette notion. Une étude des cas déjà avérés de vandalisme dans OpenStreetMap (OSM) est présentée. Puis, nous expérimentons la détection du vandalisme des données OSM en utilisant une méthode de détection d’anomalie par classification non supervisée. L’analyse de nos résultats initiaux conduit alors à une discussion sur la pertinence de construire un More >

  • Open Access

    ARTICLE

    Kinesin Motor Protein KIFC1 Is a Target Protein of miR-338-3p and Is Associated With Poor Prognosis and Progression of Renal Cell Carcinoma

    Gang Li*, Tie Chong*, Jie Yang, Hongliang Li*, Haiwen Chen*

    Oncology Research, Vol.27, No.1, pp. 125-137, 2019, DOI:10.3727/096504018X15213115046567

    Abstract KIFC1 (kinesin family member C1) plays a critical role in clustering of extra centrosomes in various cancer cells and thus could be considered as a promising therapeutic target. However, whether KIFC1 is involved in the procession of renal cell carcinoma (RCC) still remains unclear. In this study, we found that KIFC1 was upregulated in RCC tissues and is responsible for RCC tumorigenesis (p<0.001). The high expression of KIFC1 correlates with aggressive clinicopathologic parameters. Kaplan–Meier analysis suggested that KIFC1 was associated with poor survival prognosis in RCC. Silencing KIFC1 dramatically resulted in inhibition of proliferation, delayed the More >

  • Open Access

    ARTICLE

    TIMP-3 Increases the Chemosensitivity of Laryngeal Carcinoma to Cisplatin via Facilitating Mitochondria-Dependent Apoptosis

    Xiaohui Shen, Xia Gao, Hui Li, Yajun Gu, Junguo Wang

    Oncology Research, Vol.27, No.1, pp. 73-80, 2019, DOI:10.3727/096504018X15201099883047

    Abstract Laryngeal carcinoma is a type of head and neck carcinoma with a high incidence and mortality. Chemotherapy treatments of human laryngeal carcinoma may fail due to the development of chemoresistance. Tissue inhibitor of metalloproteinase 3 (TIMP-3) has been shown to be implicated in a number of pathological processes typical for cancer. The present study aims to investigate the involvement of TIMP-3 in the chemoresistance of laryngeal carcinoma. We showed that TIMP-3 expression was significantly decreased in chemoresistant laryngeal carcinoma tissues compared with chemosensitivity tissues. Patients with low TIMP-3 expression exhibited poorer overall survival than those… More >

  • Open Access

    ARTICLE

    Knockdown of Urothelial Carcinoma-Associated 1 Suppressed Cell Growth and Migration Through Regulating miR-301a and CXCR4 in Osteosarcoma MHCC97 Cells

    Genglong Zhu*, Xialei Liu*, Yonghui Su, Fangen Kong, Xiaopeng Hong*, Zhidong Lin

    Oncology Research, Vol.27, No.1, pp. 55-64, 2019, DOI:10.3727/096504018X15201143705855

    Abstract Liver cancer is one of the most common malignancies in the world and a leading cause of cancer-related mortality. Accumulating evidence has highlighted the critical role of long noncoding RNAs (lncRNAs) in various cancers. The present study aimed to explore the role of lncRNA urothelial carcinoma-associated 1 (UCA1) in cell growth and migration in MHCC97 cells and its underlying mechanism. First, we assessed the expression of UCA1 in MHCC97 and three other cell lines by RT-qPCR. Then the expression of UCA1, miR-301a, and CXCR4 in MHCC97 cells was altered by transient transfection. The effects of… More >

Displaying 471-480 on page 48 of 693. Per Page