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  • Open Access

    ARTICLE

    Clinical Characteristics and Molecular Patterns of RET-Rearranged Lung Cancer in Chinese Patients

    Kai Zhang*, Huajun Chen, Ye Wang, Lin Yang§, Chengzhi Zhou, Weiqiang Yin#, Guangsuo Wang§, Xinru Mao**, Jianxing Xiang**, Bing Li**, Tengfei Zhang**, Shihong Fei*

    Oncology Research, Vol.27, No.5, pp. 575-582, 2019, DOI:10.3727/096504018X15344979253618

    Abstract RET rearrangement has been proven as an oncogenic driver in patients with lung cancer. However, the prevalence, clinical characteristics, molecular features, and therapeutic options in RET-rearranged patients remain unclear, especially in Chinese lung cancer patients. We retrospectively collected 6,125 Chinese lung cancer patients who have been profiled using next-generation sequencing (NGS). The clinical demographics and molecular features of RET rearrangement-positive patients were analyzed. RET rearrangements were identified in 84 patients with a proportion of 1.4% in our cohort. The median age at diagnosis was 58 years, and it mainly occurred in females with adenocarcinoma histology. KIF5B-RET was the… More >

  • Open Access

    ARTICLE

    Modified PSO Algorithm on Recurrent Fuzzy Neural Network for System Identification

    Chung Wen Hung, Wei Lung Mao, Han Yi Huang

    Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 329-341, 2019, DOI:10.31209/2019.100000093

    Abstract Nonlinear system modeling and identification is the one of the most important areas in engineering problem. The paper presents the recurrent fuzzy neural network (RFNN) trained by modified particle swarm optimization (MPSO) methods for identifying the dynamic systems and chaotic observation prediction. The proposed MPSO algorithms mainly modify the calculation formulas of inertia weights. Two MPSOs, namely linear decreasing particle swarm optimization (LDPSO) and adaptive particle swarm optimization (APSO) are developed to enhance the convergence behavior in learning process. The RFNN uses MPSO based method to tune the parameters of the membership functions, and it More >

  • Open Access

    ARTICLE

    A Distributed Heterogeneous Inspection System for High Performance Inline Surface Defect Detection

    Yu-Cheng Chou1, Wei-Chieh Liao2, Yan-Liang Chen2, Ming Chang2, Po Ting Lin3

    Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 79-90, 2019, DOI:10.31209/2018.100000011

    Abstract This paper presents the Distributed Heterogeneous Inspection System (DHIS), which comprises two CUDA workstations and is equipped with CPU distributed computing, CPU concurrent computing, and GPU concurrent computing functions. Thirty-two grayscale images, each with 5,000× 12,288 pixels and simulated defect patterns, were created to evaluate the performances of three system configurations: (1) DHIS; (2) two CUDA workstations with CPU distributed computing and GPU concurrent computing; (3) one CUDA workstation with GPU concurrent computing. Experimental results indicated that: (1) only DHIS can satisfy the time limit, and the average turnaround time of DHIS is 37.65% of More >

  • Open Access

    ARTICLE

    Stenting of the ductus arteriosus for ductal‐dependent pulmonary blood flow—current techniques and procedural considerations

    Varun Aggarwal1, Christopher J. Petit2, Andrew C. Glatz3,4, Bryan H. Goldstein5, Athar M. Qureshi1

    Congenital Heart Disease, Vol.14, No.1, pp. 110-115, 2019, DOI:10.1111/chd.12709

    Abstract The use of prostaglandin‐E1 immediately after birth and subsequent surgical crea‐ tion of the modified Blalock‐Taussig shunt (BTS) shunt have remarkably improved the prognosis and survival of children with congenital heart disease and ductal‐depend‐ ent pulmonary blood flow (PBF). Despite the advancement in surgical techniques, bypass strategies, and postoperative management, significant morbidity and mortal‐ ity after BTS still remain. Patent ductus arteriosus stenting has been shown to be as an acceptable alternative to BTS placement in select infants with ductal‐dependent PBF. Newer procedural techniques and equipment, along with operator experience have all contributed to procedural More >

  • Open Access

    REVIEW

    Overview of genetic causes of recurrent miscarriage and the diagnostic approach

    Tarek A ATIA

    BIOCELL, Vol.43, No.4, pp. 253-262, 2019, DOI:10.32604/biocell.2019.08180

    Abstract Recurring miscarriage (RM) is a frustrating reproductive complication with variable etiology. Numerous genetic defects have been known to play a crucial role in the etiology of RM. Chromosomal abnormalities are frequently detected, while other genetic defects cannot be diagnosed through routine research, such as cryptic chromosomal anomalies, single nucleotide polymorphism, single-gene defect, and gene copy number variation. Diagnostic laboratories have recently used variable advanced techniques to detect potential genetic abnormalities in couples with RM and/or in products of conception. Here we aim to summarize the known genetic causes of RM, with a focus on the More >

  • Open Access

    ARTICLE

    Smartphone User Authentication Based on Holding Position and Touch-Typing Biometrics

    Yu Sun1,2,*, Qiyuan Gao3, Xiaofan Du3, Zhao Gu3

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1365-1375, 2019, DOI:10.32604/cmc.2019.06294

    Abstract In this advanced age, when smart phones are the norm, people utilize social networking, online shopping, and even private information storage through smart phones. As a result, identity authentication has become the most critical security activity in this period of the intelligent craze. By analyzing the shortcomings of the existing authentication methods, this paper proposes an identity authentication method based on the behavior of smartphone users. Firstly, the sensor data and touch-screen data of the smart phone users are collected through android programming. Secondly, the eigenvalues of this data are extracted and sent to the More >

  • Open Access

    ABSTRACT

    Mechano-Electric Feedback and Arrhythmogenic Current Generation in A Computational Model of Coupled Myocytes

    Viviane Timmermann1, Kevin Vincent2, Joakim Sundnes1, Andrew D. McCulloch2,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 133-133, 2019, DOI:10.32604/mcb.2019.07311

    Abstract Heterogeneous mechanical dyskinesis has been implicated in arrhythmogenic phenotypes. Strain-induced perturbations to cardiomyocyte electrophysiology (EP) may trigger arrhythmias via a variety of mechano-electric feedback (MEF) mechanisms. While the role of stretch-activated ionic currents (SACs) has been investigated intensively using computational models, experimental studies have shown that mechanical strain can also trigger intra- and inter-cellular calcium waves. To investigate whether the inherent strain dependence of myofilament calcium affinity may promote arrhythmogenic intra- and inter-cellular calcium waves under conditions of pathologic mechanical heterogeneity, we coupled a mathematical model of excitation-contraction coupling (ECC) in rabbit ventricular myocytes to… More >

  • Open Access

    ARTICLE

    Ensemble Recurrent Neural Network-Based Residual Useful Life Prognostics of Aircraft Engines

    Jun Wu1,*, Kui Hu1, Yiwei Cheng2, Ji Wang1, Chao Deng2,*, Yuanhan Wang3

    Structural Durability & Health Monitoring, Vol.13, No.3, pp. 317-329, 2019, DOI:10.32604/sdhm.2019.05571

    Abstract Residual useful life (RUL) prediction is a key issue for improving efficiency of aircraft engines and reducing their maintenance cost. Owing to various failure mechanism and operating environment, the application of classical models in RUL prediction of aircraft engines is fairly difficult. In this study, a novel RUL prognostics method based on using ensemble recurrent neural network to process massive sensor data is proposed. First of all, sensor data obtained from the aircraft engines are preprocessed to eliminate singular values, reduce random fluctuation and preserve degradation trend of the raw sensor data. Secondly, three kinds More >

  • Open Access

    ARTICLE

    Remaining Useful Life Prediction of Rolling Bearings Based on Recurrent Neural Network

    Yimeng Zhai1, Aidong Deng1,*, Jing Li1,2, Qiang Cheng1, Wei Ren3

    Journal on Artificial Intelligence, Vol.1, No.1, pp. 19-27, 2019, DOI:10.32604/jai.2019.05817

    Abstract In order to acquire the degradation state of rolling bearings and achieve predictive maintenance, this paper proposed a novel Remaining Useful Life (RUL) prediction of rolling bearings based on Long Short Term Memory (LSTM) neural net-work. The method is divided into two parts: feature extraction and RUL prediction. Firstly, a large number of features are extracted from the original vibration signal. After correlation analysis, the features that can better reflect the degradation trend of rolling bearings are selected as input of prediction model. In the part of RUL prediction, LSTM that making full use of More >

  • Open Access

    ARTICLE

    A High Gain, Noise Cancelling 3.1-10.6 GHz CMOS LNA for UWB Application

    Xiaorong Zhao1, Hongjin Zhu1, Peizhong Shi1, Chunpeng Ge2, Xiufang Qian1,*, Honghui Fan1, Zhongjun Fu1

    CMC-Computers, Materials & Continua, Vol.60, No.1, pp. 133-145, 2019, DOI:10.32604/cmc.2019.05661

    Abstract With the rapid development of ultra-wideband communications, the design requirements of CMOS radio frequency integrated circuits have become increasingly high. Ultra-wideband (UWB) low noise amplifiers are a key component of the receiver front end. The paper designs a high power gain (S21) and low noise figure (NF) common gate (CG) CMOS UWB low noise amplifier (LNA) with an operating frequency range between 3.1 GHz and 10.6 GHz. The circuit is designed by TSMC 0.13 μm RF CMOS technology. In order to achieve high gain and flat gain as well as low noise figure, the circuit uses… More >

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