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  • Open Access

    ARTICLE

    Using Grey Target Theory for Power Quality Evaluation Based on Power Quality Monitoring Data

    Qiang Yu*, Xiankai Chen, Xiaoyue Li, Chaoqun Zhou, Zhichao Li

    Energy Engineering, Vol.119, No.1, pp. 359-369, 2022, DOI:10.32604/EE.2022.015397 - 22 November 2021

    Abstract Smart grid puts forward higher requirements for power quality. Power quality evaluation can provide a decision-making basis for quality improvement. Based on power quality monitoring data, a grey target method is proposed for power quality evaluation. The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated. Combining with the characteristics of each power quality evaluation index, the target center of the whole grey target system is found. Then, the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to More >

  • Open Access

    REVIEW

    Mesenchymal stem cells: As a multi-target cell therapy for clearing β-amyloid deposition in Alzheimer’s disease

    RUXIN ZHANG1, CHENGGANG LI2, RUOCHEN DU1, YITONG YUAN1, BICHUN ZHAO1, YUJUAN ZHANG1, CHUNFANG WANG1,*

    BIOCELL, Vol.46, No.3, pp. 583-592, 2022, DOI:10.32604/biocell.2022.017248 - 18 November 2021

    Abstract Extracellular β-amyloid (Aβ) plaques and neurofibrillary tangles (NFTs) are the pathological hallmarks of Alzheimer’s disease (AD). Studies have shown that aggregates of extracellular Aβ can induce neuroinflammation mediated neurotoxic signaling through microglial activation and release of pro-inflammatory factors. Thus, modulation of Aβ might be a potential therapeutic strategy for modifying disease progression. Recently, a large number of reports have confirmed the beneficial effects of mesenchymal stem cells (MSCs) on AD. It is believed to reduce neuroinflammation, reduce Aβ amyloid deposits and NFTs, increase acetylcholine levels, promote neurogenesis, reduce neuronal damage, and improve working memory and More >

  • Open Access

    ARTICLE

    Target Detection Algorithm in Crime Recognition Using Artificial Intelligence

    Abdulsamad A. AL-Marghilani*

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 809-824, 2022, DOI:10.32604/cmc.2022.021185 - 03 November 2021

    Abstract Presently, suspect prediction of crime scenes can be considered as a classification task, which predicts the suspects based on the time, space, and type of crime. Performing digital forensic investigation in a big data environment poses several challenges to the investigational officer. Besides, the facial sketches are widely employed by the law enforcement agencies for assisting the suspect identification of suspects involved in crime scenes. The sketches utilized in the forensic investigations are either drawn by forensic artists or generated through the computer program (composite sketches) based on the verbal explanation given by the eyewitness… More >

  • Open Access

    ARTICLE

    An Investigation of Molecular Targeting of MMP-9 for Endometriosis Using Algal Bioactive Molecules

    Farnaz Nabiya1, Anchana Devi Chenniappan1,*, Rajamiriyam Marichamy1, MubarakAli Davoodbasha2,3, Jung-Wan Kim3,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.3, pp. 569-582, 2022, DOI:10.32604/phyton.2022.017390 - 26 October 2021

    Abstract Endometriosis is a chronic inflammatory disease that occurs due to the presence of endometrial tissue outside the uterine cavity. It affects from 5% to 10% of women of reproductive age. High levels of matrix metalloproteinase (especially MMP-9) have been observed in women suffering from endometriosis. Thus, the aim of this study was to investigate the naturally anti-inflammatory compounds available from an algal source that can target the MMP-9 by various in silico approaches. The target 1L6J (Crystal structure of human matrix metalloproteinase MMP-9) structure was retrieved from the PDB database. Five compounds such as Eckol, Sargafuran,… More >

  • Open Access

    ARTICLE

    Target Classification of Marine Debris Using Deep Learning

    Anum Aleem1, Samabia Tehsin1,*, Sumaira Kausar1, Amina Jameel2

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 73-85, 2022, DOI:10.32604/iasc.2022.021583 - 26 October 2021

    Abstract Marine Debris is human-created waste dumped into the sea or ocean. It pollutes the aquatic environment and hence very dangerous for ocean species. Removal of marine debris from ocean is necessary to eliminate pollution and to secure aquatic life. A robust and automatic system is essential that detects unnecessary litter of plastic and other garbage at real-time. In this study, we have proposed deep learning based architecture for the detection and classification of marine debris. Histogram Equalization technique combined with Median Filter is used to enhance the contrast of images and to remove noise. Experiments… More >

  • Open Access

    ARTICLE

    Heart Rate Detection Using SVM Based on Video Imagery

    Wu Zeng1, Yi Sheng1,*, Qiuyu Hu1, Zhanxiong Huo1, Yingge Zhang1, Yuxuan Xie2

    Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 377-387, 2022, DOI:10.32604/iasc.2022.017748 - 26 October 2021

    Abstract According to the World Health Organization, the death rate of cardiovascular diseases ranks first in the composition of disease deaths. Research shows that the heart rate can be employed as an important physiological parameter to measure the health status of people’s cardiac health. A pressure pulse is formed by the periodic beating and contraction of the heart, so its rate and the pressure pulse signal have a distinct synchronous periodicity. Certain wavelengths of light are known to be absorbed by the capillaries in the human skin, where this absorption fluctuates in accordance with the heartbeat… More >

  • Open Access

    REVIEW

    Alteration in the expression of microRNA-21 regulated target genes: Role in breast cancer

    PRIYANKA THAKUR1, REENA V. SAINI2,3,*, ANIL K. CHHILLAR4, NEERAJ K. SAINI5, VIJAY KUMAR THAKUR6, SAMARJEET SINGH SIWAL7, ADESH K. SAINI2,3,*

    BIOCELL, Vol.46, No.2, pp. 309-324, 2022, DOI:10.32604/biocell.2022.016916 - 20 October 2021

    Abstract Breast cancer, also recognized as the principal cause of cancer-related deaths among women, is the second most familiar and prevalent form of cancer. New diagnostic and prognostic biomarkers that are highly specific are urgently needed for its early prognosis. MicroRNAs (miRNAs), a class of non-coding RNAs, are known to control the biological processes involving transcription, post-transcriptional and covalent modifications, splicing, translation, cell differentiation, proliferation, apoptosis, cancer progression, and invasion. Any dysregulation in miRNA expression, demonstrating their oncogenic and tumor-suppressive functions, contributes to cancer progression. MicroRNA-21 (miR-21), an ‘onco-miR’ in breast cancer, is involved in tumor… More >

  • Open Access

    ARTICLE

    Differential metabolome landscape of Kadsura coccinea fruit tissues and potential valorization of the peel and seed tissues

    JIANFEI GAO1, KANGNING XIONG2,*, WEIJIE LI1, WEI ZHOU3

    BIOCELL, Vol.46, No.1, pp. 285-296, 2022, DOI:10.32604/biocell.2021.016253 - 29 September 2021

    Abstract Kadsura coccinea (Lem.) is a woody wine plant with a peculiar fruit enriched in important health-promoting compounds. The non-editable part of the fruit, i.e., the seed and peel, represents more than 60% of the fruit and is considered a biowaste. This significantly restricts the development of the K. coccinea fruit industry. Clarifying the metabolic components of the different fruit parts can help to improve the utilization rate and valorization of K. coccinea. Herein, we evaluated K. coccinea fruit peel, pulp, and seed using widely-targeted metabolomics and quantified a set of 736 bioactive compounds from 11 major metabolite classes. The… More >

  • Open Access

    ARTICLE

    Evaluation of the hepatoprotective and antioxidant effects of Tegillarca granosa flesh body extract against potassium bromide toxicity via targeting the histomorphometry, chromosomal and expressions of TGF-β1, VEGF and COX-2 genes in rats

    ALI H. ABU ALMAATY1, BASMA M. HENDAM2, FAYEZ ALTHOBAITI3, EMAN FAYAD3,*, YASMIN M. ABD EL-AZIZ1

    BIOCELL, Vol.46, No.1, pp. 219-234, 2022, DOI:10.32604/biocell.2022.017623 - 28 September 2021

    Abstract The hepatotoxic effect of potassium bromide (KBr) on rat liver tissues were determined, as well as the potential protective effect of Tegillaraca granosa (T. granosa) flesh body extract. Twenty adult male albino rats were equally distributed into four groups; Group (I) treated with physiological saline (control group), Group (II) was orally gavaged by 200 mg/kg of T. granosa body extract day after day, Group (III) was intoxicated by KBr (150 mg/kg bwt day after day orally) and finally, Group (IV) was given a combination of T. granosa flesh body extract plus KBr with similar doses in the second and… More >

  • Open Access

    ARTICLE

    Proteome-wide screening for the analysis of protein targeting of Chlamydia pneumoniae in endoplasmic reticulum of host cells and their possible implication in lung cancer development

    YANYAN LI1, SHAHANAVAJ KHAN2,3,4, ANIS AHMAD CHAUDHARY5, HASSAN AHMED RUDAYNI5, ABDUL MALIK2, ASHWAG SHAMI6

    BIOCELL, Vol.46, No.1, pp. 87-95, 2022, DOI:10.32604/biocell.2022.016509 - 28 September 2021

    Abstract Available reports have confirmed a link between bacterial infection and the progression of different types of cancers, including colon, lungs, and prostate cancer. Here we report the Chlamydia pneumonia proteins targeting in endoplasmic reticulum (ER) using in-silico approaches and their possible role in lung cancer etiology. We predicted 48 proteins that target human ER, which may be associated with protein folding and protein-protein interactions during infection. The results showed C. pneumoniae proteins targeting human ER and their implications in lung cancer growth. These targeted proteins may be involved in competitive interactions between host and bacterial proteins, which may More >

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