Anitha Govindhan^1,*, Karnam Anantha Sunitha², Sivanathan Kandhasamy³

Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 351-365, 2023, DOI:10.32604/iasc.2023.026361

Abstract This paper presents a Model-Based Design (MBD) approach for the design and control of a customized manipulator intended for drilling and positioning of dental implants accurately with minimal human intervention. While performing an intra-oral surgery for a prolonged duration within a limited oral cavity, the tremor of dentist's hand is inevitable. As a result, wielding the drilling tool and inserting the dental implants safely in accurate position and orientation is highly challenging even for experienced dentists. Therefore, we introduce a customized manipulator that is designed ergonomically by taking in to account the dental chair specifications and anthropomorphic data such that… More >

Lina Baz¹, Aala A. Abulfaraj², Manal A. Tashkandi³, Hanadi M. Baeissa³, Mohammed Y. Refai³, Aminah A. Barqawi⁴, Ashwag Shami⁵, Haneen W. Abuauf⁶, Ruba A. Ashy⁷, Rewaa S. Jalal^7,*

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2249-2268, 2022, DOI:10.32604/phyton.2022.021922

Abstract The present study aimed to predict differential enrichment of pathways and compounds in the rhizosphere microbiomes of the two wild plants (Abutilon fruticosum and Nitrosalsola vermiculata) and to predict functional shifts in microbiomes due to water. Amplicon sequencing of 16S rRNA region V3–V4 was done and gene-based microbial compositions were enrolled in PICRUSt to predict enriched pathways and compounds. The results indicated that “ABC transporters” and “Quorum sensing” pathways are among the highest enriched pathways in rhizosphere microbiomes of the two wild plants compared with those of the bulk soil microbiomes. The highest enriched compounds in soil microbiomes of the… More >

Qianqian Li¹, Qi Zhao^1,2,*, Xinzhuan Yao¹, Baohui Zhang¹, Litang Lu^1,2,*

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2163-2189, 2022, DOI:10.32604/phyton.2022.021530

Abstract The cellulose synthase gene superfamily, including Cellulose synthase A (CesA) and cellulose synthase-like (Csl) gene families, is responsible for the synthesis of cellulose and hemicellulose, respectively. The CesA/Csl genes are vital for abiotic stress resistance and shoot tenderness regulation of tea plants (Camellia sinensis). However, the CesA/Csl gene family has not been extensively studied in tea plants. Here, we identified 53 CsCesA/Csl genes in tea plants. These genes were grouped into five subfamilies (CsCesA, CsCslB, CsCslD, CsCslE, CsCslG) based on the phylogenetic relationships with Arabidopsis and rice. The analysis of chromosome distribution, gene structure, protein domain and motif revealed that… More >

Rong Huang¹, Xiaojuan Lu^2,*, Zeping Liang², Pengfei Gao¹, Tian Liang¹

Energy Engineering, Vol.119, No.4, pp. 1711-1728, 2022, DOI:10.32604/ee.2022.019128

Abstract At present, solar thermal power generation is in the demonstration stage, and the large-scale production is affected by many factors. In view of the characteristics of different operating modes of photothermal power generation, it is analyzed that the turbine needs to be started and stopped frequently due to different operating modes, which will lead to the instability of the output energy and the reduction of power generation efficiency. In this paper, the dynamic equation of energy conversion process is established by using the law of conservation of energy and conservation of mass. Combined with the logic switching criterion of the… More > Graphic Abstract

Sisi Liu¹, Lisi Zhou², Jiaoli Huang¹, Huijie Zeng¹, Zhongquan Qiao¹, Yongxin Li^1,*, Gang Zhang^3,*

Phyton-International Journal of Experimental Botany, Vol.91, No.7, pp. 1503-1516, 2022, DOI:10.32604/phyton.2022.020390

Abstract Lonicerae Flos (LF) derived from the dried flower buds or opening flowers of four Lonicera plants (Lonicera macranthoides, L. hypoglauca, L. confusa, and L. fulvotnetosa), is a popular traditional Chinese medicine. Because the four origin plants are very similar in morphology, it is difficult to control the quality of LF in actual production. Over the past decade, many reports have pointed out the differences among them, including the botanical characteristics and active ingredients. However, there is still a lack of rapid methods that can be applied to the identification of the four origins. In this study, comparative analysis of the… More >

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

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 synthesis of nanoparticles from different… 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

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 of wind direction accurately. Power… 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

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 cartilage explants can be… 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

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 fluid extraction, ultrasonic extraction, enzymatic… 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

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 properties of titanium powder’s alloys.… More >