Haodong Li¹, Huiling Du^1,*, Le Kang¹, Yewen Zhang¹, Tong Lu¹, Yuchan Zhang¹, Lan Yang², Shijie Song²

Journal of Renewable Materials, Vol.11, No.12, pp. 4161-4174, 2023, DOI:10.32604/jrm.2023.028877

Abstract The large accumulation of coal gangue, a common industrial solid waste, causes severe environmental problems, and green development strategies are required to transform this waste into high-value-added products. In this study, low-cost ceramsites adsorbents were prepared from waste gangue, silt coal, and peanut shells and applied to remove the organic dye methylene blue from wastewater. We investigated the microstructure of ceramsites and the effects of the sintering atmosphere, sintering temperature, and solution pH on their adsorption performance. The ceramsites sintered at 800°C under a nitrogen atmosphere exhibited the largest three-dimensional-interconnected hierarchical porous structure among the prepared ceramsites; further, it exhibited… More > Graphic Abstract

SHA LI^1,2,#, YAQIONG LIU^3,#, CHAOLING YAO¹, ANJI XU¹, XIAOLING ZENG⁴, YUXIN GE⁴, XIAOWU SHENG⁴, HAILIN ZHANG^1,2, XIAO ZHOU^1,2,*, YING LONG^1,2,*

BIOCELL, Vol.47, No.5, pp. 1003-1019, 2023, DOI:10.32604/biocell.2023.027209

Abstract Background: Nuclear receptor binding SET domain protein-3 (NSD3) is a histone lysine methyltransferase and a crucial regulator of carcinogenesis in several cancers. We aimed to investigate the prognostic value and potential function of NSD3 in 33 types of human cancer. Methods: The data were obtained from The Cancer Genome Atlas. Kaplan-Meier analysis, CIBERSORT, gene set enrichment analysis, and gene set variation analysis were performed. The expression of NSD3 was measured using quantitative real-time polymerase chain reaction and western blot. Results: The expression of NSD3 was altered in pan-cancer samples. Patients with higher levels of NDS3 generally had shorter overall survival… More >

Aghila Rajagopal¹, Sultan Ahmad^2,*, Sudan Jha³, Ramachandran Alagarsamy⁴, Abdullah Alharbi⁵, Bader Alouffi⁶

Computer Systems Science and Engineering, Vol.45, No.3, pp. 3215-3229, 2023, DOI:10.32604/csse.2023.025705

Abstract Nowadays, the COVID-19 virus disease is spreading rampantly. There are some testing tools and kits available for diagnosing the virus, but it is in a limited count. To diagnose the presence of disease from radiological images, automated COVID-19 diagnosis techniques are needed. The enhancement of AI (Artificial Intelligence) has been focused in previous research, which uses X-ray images for detecting COVID-19. The most common symptoms of COVID-19 are fever, dry cough and sore throat. These symptoms may lead to an increase in the rigorous type of pneumonia with a severe barrier. Since medical imaging is not suggested recently in Canada… More >

Suiwei Pan¹, Anqi Ren¹, Yongli Peng¹, Min Wu², Wanguo Dong³, Chunlin Liu², Depeng Chen^2,*

Journal of Renewable Materials, Vol.11, No.2, pp. 881-904, 2023, DOI:10.32604/jrm.2022.023000

Abstract This study focuses on the workability and compressive strength of ceramsite self-compacting concrete with fine aggregate partially substituted by steel slag sand (CSLSCC) to prevent the pollution of steel slag in the environment. The SF, J-ring, visual stability index, and sieve analysis tests are primarily employed in this research to investigate the workability of freshly mixed self-compacting concrete containing steel slag at various steel slag sand replacement rates. The experiment results indicate that CSLSCC with the 20% volume percentage of steel slag (VPS) performs better workability, higher strength, and higher specific strength. The 7-day compressive strength of CSLSCC with the… More > Graphic Abstract

Mamoon M. Saeed¹, Mohammad Kamrul Hasan^2,*, Rosilah Hassan² , Rania Mokhtar³ , Rashid A. Saeed^3,4, Elsadig Saeid¹, Manoj Gupta⁵

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5551-5568, 2022, DOI:10.32604/cmc.2022.017338

Abstract

The fifth generation (5G) system is the forthcoming generation of the mobile communication system. It has numerous additional features and offers an extensively high data rate, more capacity, and low latency. However, these features and applications have many problems and issues in terms of security, which has become a great challenge in the telecommunication industry. This paper aimed to propose a solution to preserve the user identity privacy in the 5G system that can identify permanent identity by using Variable Mobile Subscriber Identity, which randomly changes and does not use the permanent identity between the user equipment and home network.… More >

Rashid A. Saeed¹, Mamoon M. Saeed^2,3, Rania A. Mokhtar¹, Hesham Alhumyani¹, S. Abdel-Khalek^4,*

Computer Systems Science and Engineering, Vol.39, No.1, pp. 1-14, 2021, DOI:10.32604/csse.2021.015593

Abstract Privacy, identity preserving and integrity have become key problems for telecommunication standards. Significant privacy threats are expected in 5G networks considering the large number of devices that will be deployed. As Internet of Things (IoT) and long-term evolution for machine type (LTE-m) are growing very fast with massive data traffic the risk of privacy attacks will be greatly increase. For all the above issues standards’ bodies should ensure users’ identity and privacy in order to gain the trust of service providers and industries. Against such threats, 5G specifications require a rigid and robust privacy procedure. Many research studies have addressed… More >

Yanyun Jiang¹, Yuanjie Zheng^1,2,*, Xiaodan Sui¹, Wanzhen Jiao³, Yunlong He⁴, Weikuan Jia¹

Computer Systems Science and Engineering, Vol.36, No.3, pp. 537-549, 2021, DOI:10.32604/csse.2021.014578

Abstract Multispectral imaging (MSI) technique is often used to capture images of the fundus by illuminating it with different wavelengths of light. However, these images are taken at different points in time such that eyeball movements can cause misalignment between consecutive images. The multispectral image sequence reveals important information in the form of retinal and choroidal blood vessel maps, which can help ophthalmologists to analyze the morphology of these blood vessels in detail. This in turn can lead to a high diagnostic accuracy of several diseases. In this paper, we propose a novel semi-supervised end-to-end deep learning framework called “Adversarial Segmentation… More >

Lei Tian, Liuchao Qiu^*, Jingjun Li, Yongsen Yang

Journal of Renewable Materials, Vol.8, No.2, pp. 154-170, 2020, DOI:10.32604/jrm.2020.08701

Abstract In recent decades, the utilization of waste tires, plastic and artificial shale ceramsite as alternative fine aggregate to make self-compacting concrete (SCC) has been recognized as an eco-friendly and sustainable method to manufacture renewable construction materials. In this study, three kinds of recycled aggregates: recycled tire rubber particles, wood-plastic particles, artificial shale ceramsite were used to replace the sand by different volume (5%, 10%, 20% and 30%), and their effects on the fresh and hardened properties of SCC were investigated. The slump flow and V-funnel tests were conducted to evaluate the fresh properties of modified-SCC mixtures. The hardened properties include… More >

Wei Xu^1,2, Yaodong Tao^2,3, Chunfang Yang^4,*, Huiqin Chen⁵

CMC-Computers, Materials & Continua, Vol.60, No.2, pp. 691-705, 2019, DOI:10.32604/cmc.2019.05678

Abstract A security testbed is an important aspect of Industrial Control System (ICS) security research. However, existing testbeds still have many problems in that they cannot fully simulate enterprise networks and ICS attacks. This paper presents a Multiple-Scenario Industrial Control System Testbed (MSICST), a hardware-in-the-loop ICS testbed for security research. The testbed contains four typical process scenarios: thermal power plant, rail transit, smart grid, and intelligent manufacturing. We use a combination of actual physical equipment and software simulations to build the process scenario sand table and use real hardware and software to build the control systems, demilitarized zone, and enterprise zone… More >

TakehikoNakama¹

CMC-Computers, Materials & Continua, Vol.14, No.1, pp. 35-60, 2009, DOI:10.3970/cmc.2009.014.035

Abstract Random noise perturbs objective functions in practical optimization problems, and genetic algorithms (GAs) have been proposed as an effective optimization tool for dealing with noisy objective functions. In this paper, we investigate GAs in a variety of noisy environments where fitness perturbation can occur in any form-for example, fitness evaluations can be concurrently disturbed by additive and multiplicative noise. We reveal the convergence properties of GAs by constructing and analyzing a Markov chain that explicitly models the evolution of the algorithms in noisy environments. We compute the one-step transition probabilities of the Markov chain and show that the chain has… More >