Arpita Roy^1,*, H. C. Ananda Murthy² , Hiwa M. Ahmed^3,4, Mohammad Nazmul Islam⁵, Ram Prasad^6,*

Journal of Renewable Materials, Vol.10, No.7, pp. 1911-1930, 2022, DOI:10.32604/jrm.2022.019410 - 08 March 2022

Abstract Now-a-days nanotechnology is one of the booming fields for the researchers. With the increase in industrialization mainly textile, paper, medicine, plastic industry, there is an increase in concentration of organic dyes as pollutant. Release of harmful dyes in water bodies has become a serious issue, as most of the dyes are carcinogenic and mutagenic in nature and causes various diseases. Therefore, there is a requirement to find out new approaches for efficient treatment of effluent containing dyes. Nanoparticles are one of the potential solutions to this problem. They can be synthesized from different methods, however More >

Lisha Shang^*, Yajuan Jia, Liming Zheng, Erna Shi, Min Sun

FDMP-Fluid Dynamics & Materials Processing, Vol.18, No.3, pp. 511-519, 2022, DOI:10.32604/fdmp.2022.017920 - 22 February 2022

Abstract A genetic algorithm is proposed to optimize the yaw control system used for the stable and efficient operation of turbines in wind power plants. In particular, the factors that produce yaw static deviation are analyzed. Then, the sought optimization method for the yaw static deviation of the wind turbine is implemented by using a lidar wind meter in the engine room in order to solve the low accuracy problem caused by yaw static deviation. It is shown that fuzzy control can overcome problematic factors such as the randomness of wind direction and track the change More >

KAN OUYANG^1,2,#, MEIQUAN XU^3,#, YUJIE LIANG⁴, XIAO XU², LIMEI XU², CAINING WEN^1,2, ZHUAN QIN², YIXIN XIE², HUAWEI ZHANG⁵, LI DUAN^2,*, DAPING WANG^1,2,5,*

BIOCELL, Vol.46, No.6, pp. 1521-1526, 2022, DOI:10.32604/biocell.2022.018788 - 07 February 2022

Abstract There is no efficient tracking system available for the therapeutic molecules delivered to cartilage. The dense matrix covering the cartilage surface is the main biological barrier that the therapeutic molecules must overcome. In this study, we aimed to establish a system that can dynamically and effectively track the therapeutic molecules delivered to cartilage. To this aim, we adopted bovine and human cartilage explants as ex vivo models for chondrocyte-targeted exosome dispersion. The efficiency of drug delivery was evaluated using frozen sections. The results of this study showed that the penetration and distribution of chondrocyte-targeted exosomes in More >

Yingying Hu^1,#, Bowen Yan^1,#, Zhefan Stephen Chen², Lei Wang³, Wei Tang¹ and Caoxing Huang^1,*

Journal of Renewable Materials, Vol.10, No.6, pp. 1471-1490, 2022, DOI:10.32604/jrm.2022.018811 - 20 January 2022

Abstract Polyphenol is an important secondary metabolite with unique physiological functions and biological activity. The polyphenols in different plants and biomass have different chemical structures, which needs various extraction methods to obtain them. Recently, plant polyphenols and their application research in food and medicine have become a research hotspot, which is mainly focused on preparation, purification, structural identification, and biological activity assays. Among these researches, extraction and separation are the key sections to investigate the structure and activity of polyphenol. Hence, this review summarized the recent extraction and separation techniques of polyphenol, including solvent extraction, supercritical More > Graphic Abstract

Ivan Izonin^1,*, Roman Tkachenko¹, Michal Gregus², Zoia Duriagina^1,3, Nataliya Shakhovska¹

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5933-5947, 2022, DOI:10.32604/cmc.2022.022582 - 14 January 2022

Abstract The advent of additive technologies has provided a significant breakthrough in the production of medical implants. It has reduced costs, increased productivity and accuracy of the implant manufacturing process. However, there are problems associated with assessing defects in the microstructure, mechanical and technological properties of alloys, both during their production by powder metallurgy and in the process of 3D printing. Thus traditional research methods of alloys properties demand considerable human, material, and time resources. At the same time, artificial intelligence tools create opportunities for intelligent evaluation of the conformity for the microstructure, phase composition, and… More >

FENGJUN DAI¹, ZIYI RONG¹, QIANGSHENG WU¹, ELSAYED FATHI ABD_ALLAH³, CHUNYAN LIU^1,2,*, SHENGRUI LIU^2,*

BIOCELL, Vol.46, No.5, pp. 1339-1346, 2022, DOI:10.32604/biocell.2022.018909 - 06 January 2022

Abstract Tea plants are sensitive to soil moisture deficit, with the level of soil water being a critical factor affecting their growth and quality. Arbuscular mycorrhizal fungi (AMF) can improve water and nutrient absorption, but it is not clear whether AMF can improve the photosynthetic characteristics of tea plants. A potted study was conducted to determine the effects of Claroideoglomus etunicatum on plant growth, leaf water status, pigment content, gas exchange, and chlorophyll fluorescence parameters in Camellia sinensis cv. Fuding Dabaicha under well-watered (WW) and drought stress (DS) conditions. Root mycorrhizal colonization and soil hyphal length were significantly… More >

Wuqin Tang, Qiang Yang, Wenjun Yan^*

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1423-1439, 2022, DOI:10.32604/cmes.2022.018313 - 30 December 2021

Abstract Defects detection with Electroluminescence (EL) image for photovoltaic (PV) module has become a standard test procedure during the process of production, installation, and operation of solar modules. There are some typical defects types, such as crack, finger interruption, that can be recognized with high accuracy. However, due to the complexity of EL images and the limitation of the dataset, it is hard to label all types of defects during the inspection process. The unknown or unlabeled create significant difficulties in the practical application of the automatic defects detection technique. To address the problem, we proposed… More >

FATIMA CVRČKOVÁ^*, HANA KONRÁDOVÁ

BIOCELL, Vol.46, No.3, pp. 645-649, 2022, DOI:10.32604/biocell.2022.018114 - 18 November 2021

Abstract The possibility of associative learning in plants is a topic of ongoing controversy. In one published study, growing pea plants were reported to associate two stimuli (airflow and light) and thereafter use one (airflow) as an indicator for the other (light), similar to dogs in Pavlov’s famous experiments. However, this observation could not be independently repeated. Here we examine a possible reason for the failure of a published reproduction attempt, which used substantially different light quality during plant cultivation prior to experimental treatments than in the original study. This could have resulted in dramatically different More >

ANTONIO JUÁREZ-MALDONADO^*

BIOCELL, Vol.46, No.3, pp. 651-654, 2022, DOI:10.32604/biocell.2022.017350 - 18 November 2021

Abstract The use of nanomaterials has spread and has been applied in different industries, including agriculture. Here, the possibilities presented by NMs are very varied, from the biostimulation of favorable responses, or the control of pests and diseases, to the monitoring of characteristics of interest with the use of nanosensors. Particularly the biostimulation of agricultural crops with the use of nanomaterials is very relevant, since from this process stress tolerance, higher content of biocompounds, etc., can be induced. Although the positive impacts on crops are clear, there is not enough information to determine the long-term impacts, More >

Ahmed Ali Ajmi^1,2, Noor Shakir Mahmood^1,2, Khairur Rijal Jamaludin^1,*, Hayati Habibah Abdul Talib¹, Shamsul Sarip¹, Hazilah Mad Kaidi¹

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5783-5801, 2022, DOI:10.32604/cmc.2022.021885 - 11 October 2021

Abstract Industry 4.0 is expected to play a crucial role in improving energy management and personnel performance in power plants. Poor performance problem in maintaining power plants is the result of both human errors, human factors and the poor implementation of automation in energy management. This problem can potentially be solved using artificial intelligence (AI) and an integrated management system (IMS). This article investigates the current challenges to improving personnel and energy management performance in power plants, identifies the critical success factors (CSFs) for an integrated intelligent framework, and develops an intelligent framework that enables power… More >