HAIFENG WANG^1,2,*, JUAN GUO¹, LIJING ZHENG¹, SHUYING LIU¹, ZHERONG WANG¹, HONGXUAN HE²

BIOCELL, Vol.44, No.2, pp. 217-224, 2020, DOI:10.32604/biocell.2020.09051

Abstract The Escherichia coli (E. coli) is prevailing worldwide, but the epidemiology of E. coli infections feature regional distribution characteristics to some extent. E. coli, as a zoonotic pathogen, can be transferred from animals to humans through food chain or via contact with wounds, causing a public health risk. We reported the swelling of proventriculus and tracheal bleeding following the death in two broiler chickens (Gallus gallus domesticus) from Beijing, China. To investigate whether a virus was involved in the infection, Madin Darby Bovine Kidney (MDCK) cells were co-cultured with supernatants of proventriculus, trachea and spleen homogenates. The avian leucosis virus… More >

Tugcin Bora Polat

Congenital Heart Disease, Vol.12, No.6, pp. 800-807, 2017, DOI:10.1111/chd.12512

Abstract Objectives: To retrospectively review the outcome of stent placement in neonates with a vertical ductus, present a technique of ductal stenting via the axillary artery and compare it to ductal stening via the femoral venous access.
Design: Nineteen patients with duct-dependent pulmonary circulations through a vertical ductus arteriosus were treated with stent implantation. Those patients were retrospectively included in the study. In the first nine of these cases, stent delivery was done transvenously. In the latter ten cases, we favored the axillary artery access to the transvenous approach for stenting the vertical ductus arteriosus. Wire-target technique was used to attain… More >

Paul Tannous^1,2, Sunil J Ghelani^1,2, Audrey C Marshall^1,2, Diego Porras^1,2

Congenital Heart Disease, Vol.12, No.4, pp. 467-474, 2017, DOI:10.1111/chd.12457

Abstract Objective: Angiographically detectable Thebesian veins (ThVs) are a rare finding sometimes associated with coronary steal and myocardial ischemia in adults, but there are limited data regarding prominent ThVs in the setting of complex congenital heart disease (CHD). This study represents the largest series to date describing the presence and temporal changes of angiographically detectable ThVs in children with CHD.
Methods: This is a single center case series describing the clinical characteristics and coronary anatomy in children with CHD and angiographicall detectable ThVs. After identification of the index case, additional patients were identified in a prospective manner during the course of… More >

Haijun Geng¹, Jiangyuan Yao^{2, *}, Yangyang Zhang³

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 665-679, 2020, DOI:10.32604/cmc.2020.09912

Abstract Loop free alternate (LFA) is a routing protection scheme that is currently deployed in commercial routers. However, LFA cannot handle all single network component failure scenarios in traditional networks. As Internet service providers have begun to deploy software defined network (SDN) technology, the Internet will be in a hybrid SDN network where traditional and SDN devices coexist for a long time. Therefore, this study aims to deploy the LFA scheme in hybrid SDN network architecture to handle all possible single network component failure scenarios. First, the deployment of LFA scheme in a hybrid SDN network is described as a 0-1… More >

Jiaye Pan¹, Yi Zhuang^{1, *}, Xinwen Hu^{1, 2}, Wenbing Zhao³

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 607-622, 2020, DOI:10.32604/cmc.2020.09853

Abstract Nowadays cloud architecture is widely applied on the internet. New malware aiming at the privacy data stealing or crypto currency mining is threatening the security of cloud platforms. In view of the problems with existing application behavior monitoring methods such as coarse-grained analysis, high performance overhead and lack of applicability, this paper proposes a new fine-grained binary program monitoring and analysis method based on multiple system level components, which is used to detect the possible privacy leakage of applications installed on cloud platforms. It can be used online in cloud platform environments for fine-grained automated analysis of target programs, ensuring… More >

Sheng Liu^{1, *}, Hailin Cao², Decheng Wu², Xiyuan Chen³

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 589-605, 2020, DOI:10.32604/cmc.2020.09964

Abstract Arranging multiple identical sub-arrays in a special way can enhance degrees of freedom (DOFs) and obtain a hole-free difference co-array (DCA). In this paper, by adjusting the interval of adjacent sub-arrays, a kind of generalized array architecture with larger aperture is proposed. Although some holes may exist in the DCA of the proposed array, they are distributed uniformly. Utilizing the partial continuity of the DCA, an extended covariance matrix can be constructed. Singular value decomposition (SVD) is used to obtain an extended signal sub-space, by which the direction-of-arrival (DOA) estimation algorithm for quasi-stationary signals is given. In order to eliminating… More >

Shu Fang¹, Lei Huang¹, Yi Wan², Weize Sun^{1, *}, Jingxin Xu³

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 541-555, 2020, DOI:10.32604/cmc.2020.010066

Abstract With the development of science and technology, the status of the water environment has received more and more attention. In this paper, we propose a deep learning model, named a Joint Auto-Encoder network, to solve the problem of outlier detection in water supply data. The Joint Auto-Encoder network first expands the size of training data and extracts the useful features from the input data, and then reconstructs the input data effectively into an output. The outliers are detected based on the network’s reconstruction errors, with a larger reconstruction error indicating a higher rate to be an outlier. For water supply… More >

Chao Guo¹, Cheng Gong², Juan Guo³, Zhanzhen Wei^{1, *}, Yanyan Han¹, Sher Zaman Khan⁴

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 527-540, 2020, DOI:10.32604/cmc.2020.09788

Abstract Under the background of the rapid development of ground mobile communication, the advantages of high coverage, survivability, and flexibility of satellite communication provide air support to the construction of space information network. According to the requirements of the future space information communication, a software-defined Space-Air-Ground Integrated network architecture was proposed. It consisted of layered structure satellite backbone network, deep space communication network, the stratosphere communication network and the ground network. The SpaceAir-Ground Integrated network was supported by the satellite backbone network. It provided data relay for the missions such as deep space exploration and controlled the deep-space spacecraft when needed.… More >

Weibo Yang¹, Weidong Liu^{2, *}, Jinming Liu³, Mingyang Zhang⁴

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 515-525, 2020, DOI:10.32604/cmc.2020.09801

Abstract The Convolutional Neural Network (CNN) is a widely used deep neural network. Compared with the shallow neural network, the CNN network has better performance and faster computing in some image recognition tasks. It can effectively avoid the problem that network training falls into local extremes. At present, CNN has been applied in many different fields, including fault diagnosis, and it has improved the level and efficiency of fault diagnosis. In this paper, a two-streams convolutional neural network (TCNN) model is proposed. Based on the short-time Fourier transform (STFT) spectral and Mel Frequency Cepstrum Coefficient (MFCC) input characteristics of two-streams acoustic… More >

Junxiang Wang^{1, *}, Lin Huang¹, Ying Zhang¹, Yonghong Zhu¹, Jiangqun Ni², Yunqing Shi³

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 325-344, 2020, DOI:10.32604/cmc.2020.09784

Abstract To measure the security for hot searched reversible data hiding (RDH) technique, especially for the common-used histogram-shifting based RDH (denoted as HS-RDH), several steganalysis schemes are designed to detect whether some secret data has been hidden in a normal-looking image. However, conventional steganalysis schemes focused on the previous RDH algorithms, i.e., some early spatial/pixel domain-based histogram-shifting (HS) schemes, which might cause great changes in statistical characteristics and thus be easy to be detected. For recent improved methods, such as some adaptive prediction error (PE) based embedding schemes, those conventional schemes might be invalid, since those adaptive embedding mechanism would effectively… More >