Viviane Timmermann¹, Kevin Vincent², Joakim Sundnes¹, Andrew D. McCulloch^2,*

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 >

Jun Wu^1,*, Kui Hu¹, Yiwei Cheng², Ji Wang¹, Chao Deng^2,*, 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 >

Yimeng Zhai¹, Aidong Deng^1,*, Jing Li^1,2, 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 >

Xiaorong Zhao¹, Hongjin Zhu¹, Peizhong Shi¹, Chunpeng Ge², Xiufang Qian^1,*, 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 >

Tao Shen^1,*, Yukari Nagai¹, Chan Gao²

CMC-Computers, Materials & Continua, Vol.58, No.3, pp. 641-651, 2019, DOI:10.32604/cmc.2019.04885

Abstract Building structure is like the skeleton of the building, it bears the effects of various forces and forms a supporting system, which is the material basis on which the building depends. Hence building structure design is a vital part in architecture design, architects often explore novel applications of their technologies for building structure innovation. However, such searches relied on experiences, expertise or gut feeling. In this paper, a new design method for the optimal building frame column design based on the genetic algorithm is proposed. First of all, in order to construct the optimal model More >

Guobao Zhang^a,b, Jing-Jing Xiong^a,b, Yongming Huang^a,b, Yong Lu^a,b,c, Ling Wang^a,b

Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 541-551, 2018, DOI:10.31209/2018.100000021

Abstract This paper investigates the delay-dependent stability problem of recurrent neural networks with time-varying delay. A new and less conservative stability criterion is derived through constructing a new augmented Lyapunov-Krasovskii functional (LKF) and employing the linear matrix inequality method. A new augmented LKF that considers more information of the slope of neuron activation functions is developed for further reducing the conservatism of stability results. To deal with the derivative of the LKF, several commonly used techniques, including the integral inequality, reciprocally convex combination, and free-weighting matrix method, are applied. Moreover, it is found that the obtained More >

Fred H. Rodriguez III^1,2,3,4, Georges Ephrem^1,2, Jennifer F. Gerardin^1,2, Cheryl Raskind-Hood⁵, Carol Hogue⁵, Wendy Book^1,2

Congenital Heart Disease, Vol.13, No.1, pp. 59-64, 2018, DOI:10.1111/chd.12563

Abstract Objective: Although the ICD-9-CM code 745.5 is widely used to indicate the presence of a secundum atrial septal defect (ASD), it is also used for patent foramen ovale (PFO) which is a normal variant and for “rule-out” congenital heart disease (CHD). The ICD-10-CM code Q21.1 perpetuates this issue. The objective of this study was to assess whether code 745.5 in isolation or in combination with unspecified CHD codes 746.9 or 746.89 miscodes for CHD, and if true CHD positives decrease with age.
Design: Echocardiograms of patients with an ICD-9-CM code of 745.5 in isolation or in combination… More >

Dalin Tang^1,2,*, Zhiyong Li¹

CMES-Computer Modeling in Engineering & Sciences, Vol.116, No.2, pp. 109-113, 2018, DOI:10.31614/cmes.2018.04201

Abstract This article has no abstract. More >

Mizuma Takehito^1,*, Takei Amane¹

CMES-Computer Modeling in Engineering & Sciences, Vol.116, No.3, pp. 349-363, 2018, DOI:10.31614/cmes.2018.01714

Abstract A matrix equation solved in an eddy current analysis, A-ϕ method based on a domain decomposition method becomes a complex symmetric system. In general, iterative method is used as the solver. Convergence of iterative method in an interface problem is improved by increasing an accuracy of a solution of an iterative method of a subdomain problem. However, it is difficult to improve the convergence by using a small convergence criterion in the subdomain problem. Therefore, authors propose a method to introduce double-double precision into the interface problem and the subdomain problem. This proposed method improves More >

Bruno Nahar, Mark L. Gonzalgo

Canadian Journal of Urology, Vol.24, No.2, pp. 8698-8704, 2017

Abstract Introduction: To review oncological and functional outcomes for partial nephrectomy in the setting of T2 tumors.
Materials and methods: We performed a comprehensive literature review on partial nephrectomy for T2 tumors, focusing on major primary series reporting oncological and functional outcomes, as well as complication rates in the last 10 years.
Results: Recent series have reported comparable oncological outcomes between partial nephrectomy and radical nephrectomy for ≥ T2 tumors. However, most of these studies are retrospective in design with small sample sizes. With regard to functional outcomes, partial nephrectomy outperforms radical nephrectomy. However, outcomes are dependent on the… More >