Weimin Wu, Chuande Zhou^*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 883-901, 2020, DOI:10.32604/fdmp.2020.010407

Abstract The behavior of the tip wake of a wind turbine is one of the hot issues in the wind power field. This problem can partially be tackled using Computational Fluid Dynamics (CFD). However, this approach lacks the ability to provide insights into the spatial structure of important high-order flows. Therefore, with the horizontal axis wind turbine as the main focus, in this work, firstly, we conduct CFD simulations of the wind turbine in order to obtain a data-driven basis relating to multiple working conditions for further analysis. Then, these data are studied using an extended Proper Orthogonal Decomposition (POD) algorithm.… More >

Yanrong Zhao^1,2,3,#, Ping Chen^1,4,*,#, Shifeng Wang⁵, Yaxiong Ji^3,4, Yuanhao Wang^3,4,*, Bolin Wu^1,2, Rongjin Liu¹

Journal of Renewable Materials, Vol.8, No.11, pp. 1531-1541, 2020, DOI:10.32604/jrm.2020.011462

Abstract Bayer red mud (BRM) is a kind of industrial solid waste characterized by huge volume and high alkalinity. Its disposal generates serious environmental pollution and occupies a large number of farmland. The utilization and recycling of BRM is currently a crucial issue and needs to be addressed as soon as possible. The chemical composition of BRM is similar to cement clinker. In this study, the feasibility of preparing Belite-ferroaluminate clinker (BFAC) with different BRM was explored. The physical properties, mechanics performance, radioactivity levels and trace harmful metals leaching were measured. XRD, BEI and EDS were used to characterize the mineral… More >

Yinghua Zhang^1,2, Jian Liu¹, Yunfeng Peng¹, Yanfang Dong², Changming Zhao^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 239-257, 2020, DOI:10.32604/cmes.2020.010778

Abstract Aiming for ultra-reliable low-latency wireless communications required in industrial internet of things (IIoT) applications, this paper studies a simple cognitive radio non-orthogonal multiple access (CR-NOMA) downlink system. This system consists of two secondary users (SUs) dynamically interfered by the primary user (PU), and its performance is characterized by the outage probability of the SU communications. This outage probability is calculated under two conditions where, a) the transmission of PU starts after the channel state information (CSI) is acquired, so the base station (BS) is oblivious of the interference, and b) when the BS is aware of the PU interference, and… More >

Yuan Min^1,†, Xu Fengxiang^2,3,*, Wu Junhao¹, Zheng Xuefeng¹

Computer Systems Science and Engineering, Vol.35, No.3, pp. 173-181, 2020, DOI:10.32604/csse.2020.35.173

Abstract This paper studies the influence of different factors on pedestrian head injury in vehicle-pedestrian collisions. PC-Crash software is used to construct simulation experiments under ten factors. The research shows that the injury to pedestrians in reverse impact is greater than that to pedestrians in forward impact. With the acceleration of vehicle speed, the HIC value of pedestrians will increase with the increase of the height of the front hood from the ground. When the vehicle speed is less than 40 km/h, the injury to pedestrians in a forward-leaning emergency posture is smaller, and the injury to a standing emergency posture… More >

Caifeng Cheng^1,2, Deshu Lin^3,*

Journal on Internet of Things, Vol.2, No.1, pp. 37-45, 2020, DOI:10.32604/jiot.2020.09116

Abstract Compressive sensing theory mainly includes the sparsely of signal processing, the structure of the measurement matrix and reconstruction algorithm. Reconstruction algorithm is the core content of CS theory, that is, through the low dimensional sparse signal recovers the original signal accurately. This thesis based on the theory of CS to study further on seismic data reconstruction algorithm. We select orthogonal matching pursuit algorithm as a base reconstruction algorithm. Then do the specific research for the implementation principle, the structure of the algorithm of AOMP and make the signal simulation at the same time. In view of the OMP algorithm reconstruction… More >

Shuai Li, Jianming Zhou, Shibo Xiang, Songhong Wei^*

Phyton-International Journal of Experimental Botany, Vol.89, No.3, pp. 681-690, 2020, DOI:10.32604/phyton.2020.010671

Abstract Ustilaginoidea virens, which causes rice false smut (RFS), is one of the most detrimental rice fungal diseases and poses a severe threat to rice production and quality. Effectors in U. virens often act as a group of essential virulence factors that play crucial roles in the interaction between host and the pathogen. Thus, the functions of individual effectors in U. virens need to be further explored. Here, we found a small secreted hypersensitive response-inducing protein UVI_02019870 was highly conserved in fungi. Furthermore, we performed Y2H and BiFC assay to demonstrated UVI_02019870 interacted with OsCPL1, which was predicted as a chloroplast… More >

Kari L. Turkowski¹, David J. Tester^2,3, J. Martijn Bos^2,4, Kristina H. Haugaa⁵, Michael J. Ackerman^2,3,4

Congenital Heart Disease, Vol.12, No.2, pp. 226-235, 2017, DOI:10.1111/chd.12462

Abstract Background: Arrhythmogenic cardiomyopathy (ACM) is a heritable disease characterized by fibrofatty replacement of cardiomyocytes, has a prevalence of approximately 1 in 5000 individuals, and accounts for approximately 20% of sudden cardiac death in the young (≤35 years). ACM is most often inherited as an autosomal dominant trait with incomplete penetrance and variable expression. While mutations in several genes that encode key desmosomal proteins underlie about half of all ACM, the remainder is elusive genetically. Objective: Here, whole exome sequencing (WES) was performed with genomic triangulation in an effort to identify a novel explanation for a phenotype-positive, genotype-negative multigenerational pedigree with… More >

Tengyue Zou, Bing Wu, Wen Wu, Long Ge, Yong Xu^*

Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 275-289, 2020, DOI:10.32604/phyton.2020.09277

Abstract Light is the major source of energy for plants and as such has a profound effect on plant growth and development. Red and blue lights have been considered to best drive photosynthetic metabolism and are beneficial for plant growth and development, and green light was seen as a signal to slow down or stop. In this study, Arabidopsis thaliana (Arabidopsis) was used to investigate the effects of red, blue and green lights on the growth and development of plants from seed germination to seeding. Results demonstrated that red light showed a promotion effect but blue light a prohibition one in… More >

Rakesh Kumar Sinha^1,*, Shiv Shankar Verma², Anshu Rastogi^3,*

Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 167-182, 2020, DOI:10.32604/phyton.2020.09359

Abstract Members of the Pathogenesis Related (PR) 10 protein family have been identified in a variety of plant species and a wide range of functions ranging from defense to growth and development has been attributed to them. PR10 protein possesses ribonuclease (RNase) activity, interacts with phytohormones, involved in hormone-mediated signalling, afforded protection against various phytopathogenic fungi, bacteria, and viruses particularly in response to biotic and abiotic stresses. The resistance mechanism of PR10 protein may include activation of defense signalling pathways through possible interacting proteins involved in mediating responses to pathogens, degradation of RNA of the invading pathogens. Moreover, several morphological changes… More >

Tao Li¹, Xiang Li^{1, *}, Yongjun Ren², Jinyue Xia³

CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 621-631, 2020, DOI:10.32604/cmc.2020.06463

Abstract In view of the low accuracy of traditional ground nephogram recognition model, the authors put forward a k-means algorithm-acquired neural network ensemble method, which takes BP neural network ensemble model as the basis, uses k-means algorithm to choose the individual neural networks with partial diversities for integration, and builds the cloud form classification model. Through simulation experiments on ground nephogram samples, the results show that the algorithm proposed in the article can effectively improve the Classification accuracy of ground nephogram recognition in comparison with applying single BP neural network and traditional BP AdaBoost ensemble algorithm on classification of ground nephogram. More >