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  • Open Access

    ARTICLE

    A Secure Visual Secret Sharing Scheme with Authentication Based on QR Code

    Xinwei Zhong*, Lizhi Xiong, Zhihua Xia

    Journal on Big Data, Vol.3, No.2, pp. 85-95, 2021, DOI:10.32604/jbd.2021.018618

    Abstract With the rise of the Internet of Things (IoT), various devices in life and industry are closely linked. Because of its high payload, stable error correction capability, and convenience in reading and writing, Quick Response (QR) code has been widely researched in IoT. However, the security of privacy data in IoT is also a very important issue. At the same time, because IoT is developing towards low-power devices in order to be applied to more fields, the technology protecting the security of private needs to have the characteristics of low computational complexity. Visual Secret Sharing (VSS), with its features of… More >

  • Open Access

    ARTICLE

    Reference Gene Selection for qRT-PCR Normalization in Iris germanica L.

    Yinjie Wang, Yongxia Zhang, Qingquan Liu, Liangqin Liu, Suzhen Huang, Haiyan Yuan*

    Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 277-290, 2021, DOI:10.32604/phyton.2020.011545

    Abstract Quantitative real-time PCR (qPCR) is an effective and widely used method to analyze expression patterns of target genes. Selection of stable reference genes is a prerequisite for accurate normalization of target gene expression by qRT-PCR. In Iris germanica L., no studies have yet been published regarding the evaluation of potential reference genes. In this study, nine candidate reference genes were assessed at different flower developmental stages and in different tissues by four different algorithms (GeNorm, NormFinder, BestKeeper, and RefFinder). The results revealed that ACT11 (Actin 11) and EF1α (Elongation factor 1 alpha) were the most stable reference genes in different… More >

  • Open Access

    ARTICLE

    QRDPSO: A New Optimization Method for Swarm Robot Searching and Obstacle Avoidance in Dynamic Environments

    Mehiar, D.A.F., Azizul, Z.H.*, Loo, C.K.

    Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 447-454, 2020, DOI:10.32604/iasc.2020.013921

    Abstract In this paper we show how the quantum-based particle swarm optimization (QPSO) method is adopted to derive a new derivation for robotics application in search and rescue simulations. The new derivation, called the Quantum Robot Darwinian PSO (QRDPSO) is inspired from another PSO-based algorithm, the Robot Darwinian PSO (RDPSO). This paper includes comprehensive details on the QRDPSO formulation and parameters control which show how the swarm overcomes communication constraints to avoid obstacles and achieve optimal solution. The results show the QRDPSO is an upgrade over RDPSO in terms of convergence speed, trajectory control, obstacle avoidance and connectivity performance of the… More >

  • Open Access

    ARTICLE

    QRS Duration and Outcome Late after Repair of Tetralogy of Fallot: Neurohormonal Activation Differentiates between Mechanical and Electrical Dyssynchrony

    Matthias Schneider*, Miriam Moser, Varius Dannenberg, Andreas Mangold, Robert Schönbauer, Christian Hengstenberg, Harald Gabriel

    Congenital Heart Disease, Vol.15, No.1, pp. 51-58, 2020, DOI:10.32604/CHD.2020.011712

    Abstract Background: Predicting the probability for sudden cardiac death (SCD) and thus evaluation of patients for electrical device therapy and/or ablation is one of the main tasks in clinics for adults with congenital heart disease (ACHD) following repaired tetralogy of Fallot (rTOF) patients. Previous data suggests that QRS complex analysis can help identifying those patients who subsequently suffer from SCD. We hypothesized that a long QRS duration is associated with adverse rhythm events if caused by conduction abnormalities but not if caused by right ventricular remodeling. Methods: A retrospective analysis was performed entailing all rTOF patients who were seen at our… More >

  • Open Access

    ARTICLE

    Reference Gene Selection for Quantitative Real-Time PCR Analyses of Acer palmatum under Abiotic Stress

    Lu Zhu, Qiuyue Ma, Shushun Li, Jing Wen, Kunyuan Yan, Qianzhong Li*

    Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 385-403, 2020, DOI:10.32604/phyton.2020.09259

    Abstract Quantitative real-time reverse transcriptase PCR (qRT-PCR) technology has been extensively used to estimate gene expression levels, and the selection of appropriate reference genes for qRT-PCR analysis is critically important for obtaining authentic normalized data. Acer palmatum is an important colorful leaf ornamental tree species, and reference genes suitable for normalization of the qRT-PCR data obtained from this species have not been investigated. In this study, the expression stability of ten candidate reference genes, namely, Actin3, Actin6, Actin9, EF1α, PP2A, SAMDC, TIP41, TUBα, TUBβ and UBQ10, in two distinct tissues (leaves and roots) of A. palmatum under four different abiotic stress… More >

  • Open Access

    ARTICLE

    Internal Reference Gene Selection for Quantitative Real-Time RT-PCR Normalization in Potato Tissues

    Gang Li1, Yao Zhou2, Yaqi Zhao2, Yaxue Liu2, Yuwei Ke2, Xiaoqing Jin1, Haoli Ma1,2,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 329-344, 2020, DOI:10.32604/phyton.2020.08874

    Abstract Quantitative real-time PCR (qRT-PCR) is widely used for investigating gene expression patterns and has many advantages, including its high sensitivity, fidelity, and specificity. Selecting a satisfactory internal reference gene is crucial for obtaining precise gene expression results in qRT-PCR analyses. In this study, the transcriptomic data of 2 potato varieties were screened for housekeeping genes with stable expression patterns. A total of 77 putative genes were selected, which were highly and stably expressed. Then, qRT-PCR analyses were performed to examine the expression levels of these 77 candidate reference genes in various potato tissues, including leaves, flowers, stolons, and tubers. Gene… More >

  • Open Access

    ARTICLE

    Book Retrieval Method Based on QR Code and CBIR Technology

    Qiuyan Wang1, *, Haibing Dong2

    Journal on Artificial Intelligence, Vol.1, No.2, pp. 101-110, 2019, DOI:10.32604/jai.2019.08170

    Abstract It is the development trend of library information management, which applies the mature and cutting-edge information technology to library information retrieval. In order to realize the rapid retrieval of massive book information, this paper proposes a book retrieval method combining QR code with image retrieval technology. This method analyzes the visual features of book images, design a book image retrieval method based on boundary contour and regional pixel distribution features, and realizes the association retrieval of book information combined with the QR code, so as to improve the efficiency of book retrieval. The experimental results show that, the books can… More >

  • Open Access

    RETRACTION

    RETRACTED: Automatic Arrhythmia Detection Based on Convolutional Neural Networks

    Zhong Liu1,2, Xinan Wang1,*, Kuntao Lu1, David Su3

    CMC-Computers, Materials & Continua, Vol.60, No.2, pp. 497-509, 2019, DOI:10.32604/cmc.2019.04882

    Abstract ECG signal is of great importance in the clinical diagnosis of various heart diseases. The abnormal origin or conduction of excitation is the electrophysiological mechanism leading to arrhythmia, but the type and frequency of arrhythmia is an important indicator reflecting the stability of cardiac electrical activity. In clinical practice, arrhythmic signals can be classified according to the origin of excitation, the frequency of excitation, or the transmission of excitation. Traditional heart disease diagnosis depends on doctors, and it is influenced by doctors' professional skills and the department's specialty. ECG signal has the characteristics of weak signal, low frequency, large variation,… More >

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