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  • Open Access

    ARTICLE

    Traffic Flow Statistics Method Based on Deep Learning and Multi-Feature Fusion

    Liang Mu, Hong Zhao*, Yan Li, Xiaotong Liu, Junzheng Qiu, Chuanlong Sun

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 465-483, 2021, DOI:10.32604/cmes.2021.017276 - 08 October 2021

    Abstract Traffic flow statistics have become a particularly important part of intelligent transportation. To solve the problems of low real-time robustness and accuracy in traffic flow statistics. In the DeepSort tracking algorithm, the Kalman filter (KF), which is only suitable for linear problems, is replaced by the extended Kalman filter (EKF), which can effectively solve nonlinear problems and integrate the Histogram of Oriented Gradient (HOG) of the target. The multi-target tracking framework was constructed with YOLO V5 target detection algorithm. An efficient and long-running Traffic Flow Statistical framework (TFSF) is established based on the tracking framework.… More >

  • Open Access

    ARTICLE

    Overexpression of lnc-ERP44-3:6 Causes Cell Death and Sensitivity to Cisplatin in Breast Cancer Cell Lines

    Elda A. Flores-Contreras1, Everardo González-González2,3, Ana I. Zarazúa-Niño1, Elsa N. Garza-Treviño1, Natalia Martínez-Acuña1, Viviana C. Zomosa-Signoret4, Román Vidaltamayo4, Gerardo E. Muñoz-Maldonado5, Raquel Garza-Guajardo6, Manuel de J. García-Solís7, Alejandro Abarca-Blanco3, Ana M. G. Rivas-Estilla1, Carlos Córdova-Fletes1,*

    Oncologie, Vol.23, No.3, pp. 373-392, 2021, DOI:10.32604/oncologie.2021.017786 - 26 September 2021

    Abstract Breast cancer (BC) is one of the leading causes of death in women worldwide. A major challenge in BC is chemoresistance, which is often modulated by epigenetic regulators such as long non-coding RNAs (lncRNAs). Because these regulator lncRNAs may play diverse roles, determining their specific pathways and/or functions is crucial to identify possible biomarkers and/or therapeutic targets for BC. In this study, we used gene expression microarrays in order to identify lncRNAs related to the BC biology. We found, among six differentially expressed (DE) lncRNAs, that the expression of lnc-ERP44-3:6 was consistently down-regulated in all breast… More >

  • Open Access

    ARTICLE

    Targeted editing of intronic-splicing silencer enhancement of SMN2 Exon 7 inclusion by CRISPR/Case 9

    LIUCHENG WU1,3,#, YI WANG2,#, LILI DU1, GUIQING JI1, RUI ZHOU2, ZEYI ZHAO2, JUN CHEN2, SHUNXING ZHU1,*

    BIOCELL, Vol.45, No.6, pp. 1501-1507, 2021, DOI:10.32604/biocell.2021.09528 - 01 September 2021

    Abstract Spinal muscular atrophy (SMA) is an autosomal recessive hereditary neuromuscular disease. Exon 7 and 8 of survival of motor neuron 1 (SMN1) gene or only exon 7 homology deletion leads to the failure to produce a full-length SMN gene. The copy number of SMN2 gene with high homology of SMN1 affects the degree of disease and was the target gene for targeting therapy, in which splicing silencer in intron 7 was the key to suppress the inclusion of exon 7. In this study, we projected to use CRISPR/Case 9 for the targeted editing of intronic-splicing… More >

  • Open Access

    VIEWPOINT

    Proteogenomics for pediatric brain cancer

    MARGARET SIMONIAN*

    BIOCELL, Vol.45, No.6, pp. 1459-1463, 2021, DOI:10.32604/biocell.2021.017369 - 01 September 2021

    Abstract Pediatric central nervous system tumors are the most common tumors in children, it constitute 15%–20% of all malignancies in children and are the leading cause of cancer related deaths in children. Proteogenomics is an emerging field of biological research that utilizes a combination of proteomics, genomics, and transcriptomics to aid in the discovery and identification of biomarkers for diagnosis and therapeutic purposes. Integrative proteogenomics analysis of pediatric tumors identified underlying biological processes and potential treatments as well as the functional effects of somatic mutations and copy number variation driving tumorigenesis. More >

  • Open Access

    ARTICLE

    Double Encryption Using Trigonometric Chaotic Map and XOR of an Image

    Orawit Thinnukool1, Thammarat Panityakul2, Mahwish Bano3,*

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3033-3046, 2021, DOI:10.32604/cmc.2021.019153 - 24 August 2021

    Abstract In the most recent decades, a major number of image encryption plans have been proposed. The vast majority of these plans reached a high-security level; however, their moderate speeds because of their complicated processes made them of no use in real-time applications. Inspired by this, we propose another efficient and rapid image encryption plan dependent on the Trigonometric chaotic guide. In contrast to the most of current plans, we utilize this basic map to create just a couple of arbitrary rows and columns. Moreover, to additionally speed up, we raise the processing unit from the More >

  • Open Access

    ARTICLE

    Multi-UAV Cooperative GPS Spoofing Based on YOLO Nano

    Yongjie Ding1, Zhangjie Fu1,2,*

    Journal of Cyber Security, Vol.3, No.2, pp. 69-78, 2021, DOI:10.32604/jcs.2021.019105 - 02 August 2021

    Abstract In recent years, with the rapid development of the drone industry, drones have been widely used in many fields such as aerial photography, plant protection, performance, and monitoring. To effectively control the unauthorized flight of drones, using GPS spoofing attacks to interfere with the flight of drones is a relatively simple and highly feasible attack method. However, the current method uses ground equipment to carry out spoofing attacks. The attack range is limited and the flexibility is not high. Based on the existing methods, this paper proposes a multi-UAV coordinated GPS spoofing scheme based on… More >

  • Open Access

    ARTICLE

    An Improved Algorithm for the Detection of Fastening Targets Based on Machine Vision

    Jian Yang, Lang Xin#, Haihui Huang*,#, Qiang He

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.2, pp. 779-802, 2021, DOI:10.32604/cmes.2021.014993 - 22 July 2021

    Abstract Object detection plays an important role in the sorting process of mechanical fasteners. Although object detection has been studied for many years, it has always been an industrial problem. Edge-based model matching is only suitable for a small range of illumination changes, and the matching accuracy is low. The optical flow method and the difference method are sensitive to noise and light, and camshift tracking is less effective in complex backgrounds. In this paper, an improved target detection method based on YOLOv3-tiny is proposed. The redundant regression box generated by the prediction network is filtered… More >

  • Open Access

    ARTICLE

    Extraction of Opinion Target Using Syntactic Rules in Urdu Text

    Toqir A. Rana1,*, Bahrooz Bakht1, Mehtab Afzal1, Natash Ali Mian2, Muhammad Waseem Iqbal3, Abbas Khalid1, Muhammad Raza Naqvi4

    Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 839-853, 2021, DOI:10.32604/iasc.2021.018572 - 01 July 2021

    Abstract Opinion target or aspect extraction is the key task of aspect-based sentiment analysis. This task focuses on the extraction of targeted words or phrases against which a user has expressed his/her opinion. Although, opinion target extraction has been studied extensively in the English language domain, with notable work in other languages such as Chinese, Arabic etc., other regional languages have been neglected. One of the reasons is the lack of resources and available texts for these languages. Urdu is one, with millions of native and non-native speakers across the globe. In this paper, the Urdu… More >

  • Open Access

    ARTICLE

    The Effect of Key Design Parameters on the Global Performance of Submerged Floating Tunnel under Target Wave and Earthquake Excitations

    Chungkuk Jin*, MooHyun Kim

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.1, pp. 315-337, 2021, DOI:10.32604/cmes.2021.016494 - 28 June 2021

    Abstract This study presents a practical design strategy for a large-size Submerged Floating Tunnel (SFT) under different target environments through global-performance simulations. A coupled time-domain simulation model for SFT is established to check hydro-elastic behaviors under the design random wave and earthquake excitations. The tunnel and mooring lines are modeled with a finite-element line model based on a series of lumped masses connected by axial, bending, and torsional springs, and thus the dynamic/structural deformability of the entire SFT is fully considered. The dummy-connection-mass method and constraint boundary conditions are employed to connect the tunnel and mooring… More >

  • Open Access

    ARTICLE

    Mir-612 Inhibits Proliferation and Invasion of Urothelial Carcinoma of Bladder Cells through Activating Hippo Pathway via Targeting PMEPA1

    Peng Wang, Haiyang Zhang, Zilian Cui, Xunbo Jin*, Dong Zhang*

    Oncologie, Vol.23, No.2, pp. 259-268, 2021, DOI:10.32604/Oncologie.2021.015503 - 22 June 2021

    Abstract Urothelial carcinoma of bladder (UCB) is a common urological malignancy in the world, but its progression mechanism remains unclear. MiR-612 was found as an anti-tumor factor in multiple types of cancer, while few studies have revealed its functions in UCB cells. Based on this, UCB cells such as HTB-9 and HTB-4, and normal urothelial of bladder cells such as SV-Huc1, were used as subjects in this study. Western blot, qRTPCR, CCK-8 assay and transwell assay were used to assess functions of miR-612 in UCB cells. The database, miRWalk, was used to search for potential targets… More >

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