Mohammed Ali Ashehri^*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1749-1762, 2021, DOI:10.32604/phyton.2021.016290 - 28 June 2021

Abstract In most of Arabian courtiers Rhazya stricta is extensively utilized in public medicine for several diseases treatment. In this study, crude alkaloid extract of R. stricta (CAERS) coated with silver nanoparticles (CAERS-AgNPs) as potential treatment against diabetes in DM animal model was evaluated. Swiss albino male rats (n = 80) were injected with STZ to induce Diabetes Mellitus type-2 (DM). DM-rats were injected different doses of CAERS or CAERS-nanoparticles (CAERS-NPs) for 2 months. The results exhibited that mRNA expression of insulin and insulin receptor was down-regulated, activity levels of antioxidant enzymes were decreased, generation of ROS mediated DNA adducts… More >

Hecui Zhang^1,#, Xiaoping Lian^2,#, Yizhong Zhang¹, Tonghong Zuo¹, Chongmo Yuan¹, Qinqin Xie¹, Liquan Zhu^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1599-1612, 2021, DOI:10.32604/phyton.2021.015852 - 28 June 2021

Abstract To identify and characterize genes involved in reproductive tissue abscission in Brassica oleracea, the transcript data of pollinated pistil was analyzed. A differentially expressed gene, named BoFAZ1(FLOWER ABSCISSION ZONE1) was identified, which contains one exon and encompass a 139aa. Furthermore, a T-DNA insertion mutant (SALK_302_G01) (faz1 mutant) was obtained from Arabidopsis thaliana mutant library. Floral organ shedding from mutants was delayed and a V-shaped structure in the boundary region between the stalk and torus of the sepal abscission zone was obtained in faz1 mutant. The cell density of this structure was lower than that of the corresponding region in… More >

Rumeng Li¹, Guozhu Zhan², Qi Ma¹, Yunhe Yang¹, Xiaoyun Liu^1,*, Yitong Zhang¹, Qixin Zhuang¹

Journal of Renewable Materials, Vol.9, No.12, pp. 2093-2117, 2021, DOI:10.32604/jrm.2021.015827 - 22 June 2021

Abstract To explore the influence of substituent groups on thermally induced curing, eight new bio-based benzoxazines containing different substituent groups with different electron negativity and volumes were synthesized. The thermal curing of these bio-based benzoxazines was studied in detail. Combined with the curing reaction kinetics, simulation and calculation of Highest Occupied Molecular and Lowest Unoccupied Molecular values, the spatial and electronic effects of different substituent groups on the curing of benzoxazine was explored. It was found that when the substituent was located at the position directly connected to the N atom, the steric hindrance effect of… More > Graphic Abstract

Galimkair Mutanov, Vladislav Karyukin^*, Zhanl Mamykova

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 913-930, 2021, DOI:10.32604/cmc.2021.017827 - 04 June 2021

Abstract The volume of social media data on the Internet is constantly growing. This has created a substantial research field for data analysts. The diversity of articles, posts, and comments on news websites and social networks astonishes imagination. Nevertheless, most researchers focus on posts on Twitter that have a specific format and length restriction. The majority of them are written in the English language. As relatively few works have paid attention to sentiment analysis in the Russian and Kazakh languages, this article thoroughly analyzes news posts in the Kazakhstan media space. The amassed datasets include texts… More >

Yuanfen Gao, Tinglan Jiang, Yin Xiang, Xuewu He, Zhen Zhang, Shengjuan Wen, Junjie Zhang^*

Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1465-1476, 2021, DOI:10.32604/phyton.2021.014811 - 27 May 2021

Abstract Brassinosteroids participate in many physiological processes in plants; however, their regulatory roles on the activities of the enzymes involved in dark phase of photosynthesis remains elusive. In this study, detached leaves and protoplasts of maize seedlings were treated with epi-brassinolide (EBR) and brassinazole followed by the determination of the contents of chlorophyll (a+b) and soluble sugars, and the activity of dark reaction enzymes and the expression of the relevant genes. The results showed that chlorophyll (a+b) content increased by 7.4% under 0.1 μM EBR treatment for 48 h; furthermore, chlorophyll (a+b) content increased by 34%… More >

Jing Zhang^1,2, Xin Qi^3,*, San Hlaing Myint³, Zheng Wen⁴

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2807-2824, 2021, DOI:10.32604/cmc.2021.017410 - 13 April 2021

Abstract With increasingly more smart cameras deployed in infrastructure and commercial buildings, 3D reconstruction can quickly obtain cities’ information and improve the efficiency of government services. Images collected in outdoor hazy environments are prone to color distortion and low contrast; thus, the desired visual effect cannot be achieved and the difficulty of target detection is increased. Artificial intelligence (AI) solutions provide great help for dehazy images, which can automatically identify patterns or monitor the environment. Therefore, we propose a 3D reconstruction method of dehazed images for smart cities based on deep learning. First, we propose a… More >

Debajit Datta¹, Pramod Kumar Maurya¹, Kathiravan Srinivasan², Chuan-Yu Chang^3,*, Rishav Agarwal¹, Ishita Tuteja¹, V. Bhavyashri Vedula¹

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2545-2561, 2021, DOI:10.32604/cmc.2021.015478 - 13 April 2021

Abstract The pandemic situation in 2020 brought about a ‘digitized new normal’ and created various issues within the current education systems. One of the issues is the monitoring of students during online examination situations. A system to determine the student’s eye gazes during an examination can help to eradicate malpractices. In this work, we track the users’ eye gazes by incorporating twelve facial landmarks around both eyes in conjunction with computer vision and the HAAR classifier. We aim to implement eye gaze detection by considering facial landmarks with two different Convolutional Neural Network (CNN) models, namely More >

Mi Zichuan¹, Saddam Hussain¹, Zubair Ahmad^2,*, Omid Kharazmi³, Zahra Almaspoor²

Computer Systems Science and Engineering, Vol.38, No.1, pp. 79-92, 2021, DOI:10.32604/csse.2021.015146 - 01 April 2021

Abstract Statistical distributions play a prominent role in applied sciences, particularly in biomedical sciences. The medical data sets are generally skewed to the right, and skewed distributions can be used quite effectively to model such kind of data sets. In the present study, therefore, we propose a new family of distributions suitable for modeling right-skewed medical data sets. The proposed family may be called a new generalized-X family. A special sub-model of the proposed family called a new generalized-Weibull distribution is discussed in detail. The maximum likelihood estimators of the model parameters are obtained. A brief Monte… More >

Koji Fukudome^1,*, Takuya Wada¹, Toma Takahashi¹, Makoto Yamamoto¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.23, No.1, pp. 9-9, 2021, DOI:10.32604/icces.2021.08298

Abstract Icing is a phenomenon that super-cooled droplets impinge and accrete on a solid surface. When the icing occurs on aircraft wings, it deteriorates aerodynamic performances of the wings and the blade cascades of the engine, which may lead to severe accidents. Although number of investigations have been performed both experimentally and numerically [1], the icing shape prediction is now not practically complete due to the complex aspect of icing phenomena. In the previous research, Toba et al. [2] employed an explicitmoving particles simulation method (referred as E-MPS method), which was based on the Lagrangian approach,… More >

Jaime Francisco de Sousa Resende^1,*, Andrea Lucia Teixeira Charbel², Teresa Cristina Bessa Nogueira Assunção³

Energy Engineering, Vol.118, No.3, pp. 615-629, 2021, DOI:10.32604/EE.2021.014588 - 22 March 2021

Abstract Buildings represent a significant share of the world’s energy consumption, and the sector has drawn the attention of governments, which have adopted policies to reduce energy expenditure. The Certifications of Energy Efficiency in Buildings stand out as one possible solution to achieve this goal, employed in several countries worldwide. The European Union presents advanced energy assessment programs for buildings, being a reference and model for several other regulations in the world. The Energy Certification System for Buildings (SCE) of Portugal is considered a success case, reflected in the significant number of energy certificates issued. The… More >