Hongfei Yue¹, Aiguo Fang², Sudong Hua^1,*, Zenghuan Gu³, Yu Jia¹, Cheng Yang⁴

Journal of Renewable Materials, Vol.10, No.8, pp. 2247-2261, 2022, DOI:10.32604/jrm.2022.018901 - 25 April 2022

Abstract A phosphogypsum-based subgrade stabilizer (PBSS) was formulated using industrial by-product phosphogypsum (PG), mixed with slag and calcium-silicon-rich active material (GSR). The active powder (AP) was used to modify PBSS, and PBSS-AP was obtained. PBSS and PBSS-AP were each mixed with 10% silty soil, and cement and lime (CAL: 5% lime + 2% cement) were used as the traditional material for comparative experiments. Samples were cured under standard conditions, and tested for unconfined compressive strength (UCS), water stability, volume expansion, and leachate, to explore the stabilization effect of the three solidified materials on silty soil. The More >

LIANHUAN MA¹, SHOUPENG LIU², XIAOWEN ZHEN¹, WEIWEI QIAO¹, LINA MA¹, XIAOMIN ZHANG^3,*

BIOCELL, Vol.46, No.8, pp. 1911-1916, 2022, DOI:10.32604/biocell.2022.019277 - 22 April 2022

Abstract This study was designed to investigate the protective effects of Astaxanthin (AST) in rats with diabetes mellitus (DM) induced by streptozotocin. SD rats were divided into control group (n = 5, only received normal saline), DM group (n = 8) and AST + DM group (n = 8; AST: 50 mg/kg/day). DM rats were induced by intraperitoneal injection of streptozocin (STZ, 65 mg/kg). Blood glucose level and body weight were determined at weeks 0, 2, 4, 6 and 8, respectively. At week 8, kidney function was determined, together with expression of P53 and dynamin-related protein-1 More >

S. Prabha Kumaresan¹, Chee Keong Tan^2,*, Yin Hoe Ng¹

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 6119-6140, 2022, DOI:10.32604/cmc.2022.027223 - 21 April 2022

Abstract Non-orthogonal multiple access (NOMA) has been a key enabling technology for the fifth generation (5G) cellular networks. Based on the NOMA principle, a traditional neural network has been implemented for user clustering (UC) to maximize the NOMA system’s throughput performance by considering that each sample is independent of the prior and the subsequent ones. Consequently, the prediction of UC for the future ones is based on the current clustering information, which is never used again due to the lack of memory of the network. Therefore, to relate the input features of NOMA users and capture… More >

Wenbin Luo^1,*, Youmin Wang¹, Yuting Yan², Yifang Shi¹, Zhendong Zhang³

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 789-813, 2022, DOI:10.32604/fdmp.2022.019691 - 22 February 2022

Abstract In order to determine the optimal structural parameters of a plastic centrifugal pump in the framework of an orthogonal-experiment approach, a numerical study of the related flow field has been performed using CFX. The thickness S, outlet angle β2, inlet angle β1, wrap angle, and inlet diameter D1 of the splitter blades have been considered as the variable factors, using the shaft power and efficiency of the pump as evaluation indices. Through a parametric analysis, the relative importance of the influence of each structural parameter on each evaluation index has been obtained, leading to the More >

S. Jacophine Susmi^*

Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1139-1152, 2022, DOI:10.32604/iasc.2022.023865 - 08 February 2022

Abstract The classification of cancer subtypes is substantial for the diagnosis and treatment of cancer. However, the gene expression data used for cancer subtype classification are high dimensional in nature and small in sample size. In this paper, an efficient dimensionality reduction with optimized long short term memory, algorithm (OLSTM) is used for gene expression data classification. The main three stages of the proposed method are explicitly pre-processing, dimensional reduction, and gene expression data classification. In the pre-processing method, the missing values and redundant values are removed for high-quality data. Following, the dimensional reduction is done More >

A. Vasuki¹, Vijayakumar Ponnusamy^2,*

Intelligent Automation & Soft Computing, Vol.33, No.1, pp. 71-86, 2022, DOI:10.32604/iasc.2022.022586 - 05 January 2022

Abstract A good wireless device in a system needs high spectral efficiency. Non-Orthogonal Multiple Access (NOMA) is a technique used to enhance spectral efficiency, thereby allowing users to share information at the same time and same frequency. The information of the user is super-positioned either in the power or code domain. However, interference cancellation in NOMA aided system is challenging as it determines the reliability of the system in terms of Bit Error Rate (BER). BER is an essential performance parameter for any wireless network. Intelligent Reflecting Surfaces (IRS) enhances the BER of the users by More >

Ashraf Ahmed¹, Yousef AbuHour^2,*, Ammar El-Hassan¹

Intelligent Automation & Soft Computing, Vol.32, No.2, pp. 979-990, 2022, DOI:10.32604/iasc.2022.020726 - 17 November 2021

Abstract The Corona (COVID-19) epidemic has triggered interest in many fields of technology, medicine, science, and politics. Most of the mathematical research in this area focused on analyzing the dynamics of the spread of the virus. In this article, after a review of some current methodologies, a non-linear system of differential equations is developed to model the spread of COVID-19. In order to consider a wide spectrum of scenarios, we propose a susceptible-exposed-infected-quarantined-recovered (SEIQRS)-model which was analyzed to determine threshold conditions for its stability, and the number of infected cases that is an infected person will… More >

I. Kalphana^1,*, T. Kesavamurthy²

Computer Systems Science and Engineering, Vol.41, No.1, pp. 171-185, 2022, DOI:10.32604/csse.2022.019799 - 08 October 2021

Abstract Higher transmission rate is one of the technological features of prominently used wireless communication namely Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO–OFDM). One among an effective solution for channel estimation in wireless communication system, specifically in different environments is Deep Learning (DL) method. This research greatly utilizes channel estimator on the basis of Convolutional Neural Network Auto Encoder (CNNAE) classifier for MIMO-OFDM systems. A CNNAE classifier is one among Deep Learning (DL) algorithm, in which video signal is fed as input by allotting significant learnable weights and biases in various aspects/objects for video signal More >

ILGIZ GAREEV¹, OZAL BEYLERLI¹, CHUNLEI WANG^2,3, ANDREI SOKHATSKII^2,3, YANCHAO LIANG^2,3, HUAN XIANG^2,3, CHUNYANG LIU^2,3, XUN XU^2,3, YANG GUANG^2,3

BIOCELL, Vol.46, No.1, pp. 27-35, 2022, DOI:10.32604/biocell.2022.016288 - 28 September 2021

Abstract Brain arteriovenous malformations (AVMs) are abnormal vessels that are prone to rupture, causing life-threatening intracerebral hemorrhage (ICH). Understanding the molecular basis of pathogenesis, timely diagnosis, and treatment of brain AVMs are some of the urgent problems in neurosurgery. MicroRNAs (miRNAs) are small endogenous RNAs that regulate gene-expression posttranscriptionally. MiRNAs are involved in almost all biological processes, including cell proliferation, apoptosis, and cell differentiation. Recent studies have shown that miRNAs can be involved in brain AVMs formation and rupture. There are also extracellular forms of miRNAs. Circulating miRNAs have been detected in the blood circulation and More >

JELAN MOFEED^1,2, MOHAMED DEYAB³, ABDELNASER MOHAMED³, MAHMOUD MOUSTAFA^4,5, SALLY NEGM^6,7, EMAD EL-BILAWY¹

BIOCELL, Vol.46, No.1, pp. 247-261, 2022, DOI:10.32604/biocell.2022.015966 - 28 September 2021

Abstract

Microbial infections cause complicated health influences along with bad economic impacts. In the present investigation, three dominant seaweeds namely, Amphiroa anceps, Corallina officinalis and Sargassum filipendula were collected from different Egyptian sites at the Red Sea and Mediterranean Sea during autumn 2019. Organic extracts of the three algae were screened for their antibacterial activity against three pathogenic bacteria Salmonella typhiimurium, Staphylococcus aureus and Escherichia coli, in addition to in vitro antiviral activity against Rotavirus (RV), and Coxsackie virus B3 (CVB3) that cause severe diseases in human. Organic extract of A. anceps, C. officinalis and S. filipendula inhibit E. coli cells by 57.1%, 85.7%, and 91.4%, respectively.

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