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  • Open Access

    ARTICLE

    Non-Polar Chemical Constituents of Atemoya and Evaluation of the Cytotoxic and Antimicrobial Activity

    Suzana Vieira Rabêlo1, Fernanda Granja da Silva Oliveira2, Michele Miriam Calixto de Lira3, Livia Macedo Dutra3, Adilson Sartoratto4, Marta Cristina Teixeira Duarte4, Maria Claudia dos Santos Luciano5, Maria Francilene Souza Silva5, Cláudia do Ó Pessoa5, Manoel Odorico de Moraes Filho5, Emmanoel Vilaça Costa6, Jackson Roberto Guedes da Silva Almeida1,3,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 921-931, 2021, DOI:10.32604/phyton.2021.013305

    Abstract This study aimed to identify the chemical composition of essential oil from fruits (EOAF) and the hexanic crude extract from aerial parts (At-Hex) of atemoya (Annona cherimola x Annona squamosa), a hybrid belonging to the Annonaceae family. Cytotoxic and antimicrobial activity was also evaluated. OEAF was obtained by hydrodistillation using a Clevenger apparatus, and their composition was analyzed by gas chromatography-mass spectrometry (GC-MS) analyses. Cytotoxicity was tested against human tumor cell lines HCT-116 (colon carcinoma), SF-295 (glioblastoma), OVCAR-8 (ovarian carcinoma) and HL60 (leukemia) using 3-(4,5-dimethyl-2-thiazolyl)-2,5- diphenyl-2H-tetrazolium bromide (MTT) assay, while antimicrobial activity was conducted by bioauthography method against eleven microorganisms… More >

  • Open Access

    ARTICLE

    GC-MS Analysis of Metabolites in Filling Grains of Rice-Tartary Buckwheat (Fagopyrum tataricum) in Comparison to Conventional Tartary Buckwheat

    Chenggang Liang1,#, Chunyu Wei1,#, Yan Wang1,*, Wujuan Yu1, Kai Liao1, Taoxiong Shi1, Dabing Xiang2,3, Qijiao Chen1

    Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 871-893, 2021, DOI:10.32604/phyton.2021.014242

    Abstract Rice-Tartary buckwheat (RTB) is a special germplasm of Tartary buckwheat. In this study, the appraisal of taste quality between RTB and conventional Tartary buckwheat (CTB) was presented, and the metabolites in kernels at three typical grain filling stage (GFS) were investigated. Unlike CTB, RTB showed thin shell seeds without longitudinal furrows at maturity, which was easily artificially dehulled. Sense organ test indicated that RTB exhibited better taste quality because of the higher values of appearance, viscosity, taste and summary were appraised. In total, 92 metabolites were identified in kernels using GM-MS metabolomics platform. The levels of most metabolites changed greatly… More >

  • Open Access

    ARTICLE

    COVID-19 and Learning Styles: GCET as Case Study

    Mazhar Hussain Malik1,*, Amjed Sid Ahmed1, Sulaiman Al Hasani2

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 103-115, 2021, DOI:10.32604/cmc.2021.014562

    Abstract The COVID-19 pandemic has caused higher educational institutions around the world to close campus-based activities and move to online delivery. The aim of this paper is to present the case of Global College of Engineering and Technology (GCET) and how its practices including teaching, students/staff support, assessments, and exam policies were affected. The paper investigates the mediating role of no detriment policy impact on students’ result along with the challenges faced by the higher educational institution, recommendations and suggestions. The investigation concludes that the strategies adopted for online delivery, student support, assessments and exam policies have helped students to effectively… More >

  • Open Access

    ARTICLE

    IPv6 Cryptographically Generated Address: Analysis, Optimization and Protection

    Amjed Sid Ahmed1,*, Rosilah Hassan2, Faizan Qamar3, Mazhar Malik1

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 247-265, 2021, DOI:10.32604/cmc.2021.014233

    Abstract In networking, one major difficulty that nodes suffer from is the need for their addresses to be generated and verified without relying on a third party or public authorized servers. To resolve this issue, the use of self-certifying addresses have become a highly popular and standardized method, of which Cryptographically Generated Addresses (CGA) is a prime example. CGA was primarily designed to deter the theft of IPv6 addresses by binding the generated address to a public key to prove address ownership. Even though the CGA technique is highly effective, this method is still subject to several vulnerabilities with respect to… More >

  • Open Access

    ARTICLE

    Chemical Constituents of Pedicularis longiflora var. tubiformis (Orobanchaceae), a Common Hemiparasitic Medicinal Herb from the Qinghai Lake Basin, China

    Feng Liu1,2,3, Zilan Ma1,2,3, Marcos A. Caraballo-Ortiz4, Hui Zhang5, Xu Su1,2,3, Yuping Liu1,2,3,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1083-1090, 2020, DOI:10.32604/phyton.2020.011239

    Abstract Pedicularis longiflora var. tubiformis (Orobanchaceae) is an abundant parasitic herb mainly found in the Xiaopohu wetland of the Qinghai Lake Basin in Northwestern China. The species has an important local medicinal value, and in this study, we evaluated the chemical profile of its stems, leaves and seeds using mass spectrometry. Dried samples of stems, leaves and seeds were grinded, weighted, and used for a series of extractions with an ultrasonic device at room temperature. The chemical profiles for each tissue were determined using Gas Chromatography-Mass Spectrometry (GC-MS) and Liquid ChromatographyMass Spectrometry (LC-MS). Twenty-seven amino acids and organic acids were identified… More >

  • Open Access

    REVIEW

    PGCA-Net: Progressively Aggregating Hierarchical Features with the Pyramid Guided Channel Attention for Saliency Detection

    Jiajie Mai1, Xuemiao Xu2,*, Guorong Xiao3, Zijun Deng2, Jiaxing Chen2

    Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 847-855, 2020, DOI:10.32604/iasc.2020.010119

    Abstract The Salient object detection aims to segment out the most visually distinctive objects in an image, which is a challenging task in computer vision. In this paper, we present the PGCA-Net equipped with the pyramid guided channel attention fusion block (PGCAFB) for the saliency detection task. Given an input image, the hierarchical features are extracted using a deep convolutional neural network (DCNN), then starting from the highest-level semantic features, we stage-by-stage restore the spatial saliency details by aggregating the lowerlevel detailed features. Since for the weak discriminative ability of the shallow detailed features, directly introducing them to the semantic features… More >

  • Open Access

    ARTICLE

    Cardioprotective effect of ivabradine via the AMPK/SIRT1/PGC-1α signaling pathway in myocardial ischemia/reperfusion injury induced in H9c2 cell

    XINGXING ZHU1,2, TIANFENG HUA1,2, MINGFEI WU3, JIATIAN WU1,2, JIANCHAO HONG1,2, MIN YANG1,2,*

    BIOCELL, Vol.44, No.3, pp. 431-441, 2020, DOI:10.32604/biocell.2020.010323

    Abstract Post-resuscitation myocardial dysfunction (PRMD) is the most severe myocardial ischemia-reperfusion injury (MIRI) and is characterized by difficult treatment and poor prognosis. Research has shown the protective effects of the rational use of ivabradine (IVA) against PRMD; however, the molecular mechanisms of IVA remain unknown. In this study, an ischemia-reperfusion injury (IRI) model was established using hypoxic chambers. The results demonstrated that pretreatment with IVA reduced IRI-induced cytotoxicity and apoptosis. IVA attenuated mitochondrial damage, eliminated excess reactive oxygen species (ROS), suppressed IRI-induced ATP and NAD+ , and increased the AMP/ATP ratio. We further found that IVA increased the mRNA levels of… More >

  • Open Access

    ARTICLE

    Storage-based Control Loop for AGC to Mitigate the Tie-lines Power Excursion between Areas

    Shengqi Zhang, Bei Yuan, Jianfeng Zhao

    Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 745-753, 2019, DOI:10.31209/2019.100000078

    Abstract With the current trend of deregulation, more power exchange between GENCOs and DISCOs in different areas exists in the power system. To mitigate the unscheduled power exchange meets the common interests of GENCOs and DISCOs, and avoids the power over-loading on tie-lines. However, in the current control performance standards (CPS), frequency deviations have priority in the conventional automatic generation control (C-AGC). Thus, a storagebased tie-line control loop (STCL) on the basis of C-AGC (STCL-AGC) is proposed in this paper, which makes a better tradeoff in the recovery of the frequency deviations and the unscheduled power exchange. In STCL-AGC, utility-scaled battery… More >

  • Open Access

    ARTICLE

    Semi-GSGCN: Social Robot Detection Research with Graph Neural Network

    Xiujuan Wang1, Qianqian Zheng1, *, Kangfeng Zheng2, Yi Sui1, Jiayue Zhang1

    CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 617-638, 2020, DOI:10.32604/cmc.2020.011165

    Abstract Malicious social robots are the disseminators of malicious information on social networks, which seriously affect information security and network environments. Efficient and reliable classification of social robots is crucial for detecting information manipulation in social networks. Supervised classification based on manual feature extraction has been widely used in social robot detection. However, these methods not only involve the privacy of users but also ignore hidden feature information, especially the graph feature, and the label utilization rate of semi-supervised algorithms is low. Aiming at the problems of shallow feature extraction and low label utilization rate in existing social network robot detection… More >

  • Open Access

    ARTICLE

    Modeling Multi-Targets Sentiment Classification via Graph Convolutional Networks and Auxiliary Relation

    Ao Feng1, Zhengjie Gao1, *, Xinyu Song1, Ke Ke2, Tianhao Xu1, Xuelei Zhang1

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 909-923, 2020, DOI:10.32604/cmc.2020.09913

    Abstract Existing solutions do not work well when multi-targets coexist in a sentence. The reason is that the existing solution is usually to separate multiple targets and process them separately. If the original sentence has N target, the original sentence will be repeated for N times, and only one target will be processed each time. To some extent, this approach degenerates the fine-grained sentiment classification task into the sentencelevel sentiment classification task, and the research method of processing the target separately ignores the internal relation and interaction between the targets. Based on the above considerations, we proposes to use Graph Convolutional… More >

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