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  • Open Access

    ARTICLE

    Phylogenetic analysis and target gene prediction of miR477 gene family in grape

    HUI-YING JIN1,2, MAO-SONG PEI1,2, DA-LONG GUO1,2,*

    BIOCELL, Vol.46, No.4, pp. 941-949, 2022, DOI:10.32604/biocell.2022.016718

    Abstract To understand the molecular characteristics of the miR477 gene family of grape (Vvi-miR477) and to predict its target genes, the Vvi-miR477 genes were identified from previous small RNA sequencing data, then phylogenetic analysis and prediction of target gene were conducted. The Vvi-miR477 family consists of two precursor sequences and three mature sequences. The miR477 family members were mostly 19-22nt in length. The sequence is relatively conservative. Vvi-MIR477a and Vvi-MIR477b are located on chromosomes 1 and 2, respectively. These precursor sequences can form the typical stable stem-loop structure. Their minimum folding free energy is −39.10 kcal/mol and −50.90 kcal/mol, respectively. The… More >

  • Open Access

    ARTICLE

    Tissue specific prediction of N6-methyladenine sites based on an ensemble of multi-input hybrid neural network

    CANGZHI JIA1, DONG JIN1, XIN WANG1, QI ZHAO2,*

    BIOCELL, Vol.46, No.4, pp. 1105-1121, 2022, DOI:10.32604/biocell.2022.016655

    Abstract N6-Methyladenine is a dynamic and reversible post translational modification, which plays an essential role in various biological processes. Because of the current inability to identify m6A-containing mRNAs, computational approaches have been developed to identify m6A sites in DNA sequences. Aiming to improve prediction performance, we introduced a novel ensemble computational approach based on three hybrid deep neural networks, including a convolutional neural network, a capsule network, and a bidirectional gated recurrent unit (BiGRU) with the self-attention mechanism, to identify m6A sites in four tissues of three species. Across a total of 11 datasets, we selected different feature subsets, after optimized… More >

  • Open Access

    ARTICLE

    BDLR: lncRNA identification using ensemble learning

    LEJUN GONG1,2,*, SHEHAI ZHOU1, JINGMEI CHEN1, YONGMIN LI1, LI ZHANG4, ZHIHONG GAO3

    BIOCELL, Vol.46, No.4, pp. 951-960, 2022, DOI:10.32604/biocell.2022.016625

    Abstract Long non-coding RNAs (lncRNAs) play an important role in many life activities such as epigenetic material regulation, cell cycle regulation, dosage compensation and cell differentiation regulation, and are associated with many human diseases. There are many limitations in identifying and annotating lncRNAs using traditional biological experimental methods. With the development of high-throughput sequencing technology, it is of great practical significance to identify the lncRNAs from massive RNA sequence data using machine learning method. Based on the Bagging method and Decision Tree algorithm in ensemble learning, this paper proposes a method of lncRNAs gene sequence identification called BDLR. The identification results… More >

  • Open Access

    ARTICLE

    Puerarin inactivates NLRP3-mediated pyroptotic cell death to alleviate cerebral ischemia/reperfusion (I/R) injury through modulating the LncRNA DUXAP8/miR-223-3p axis

    ZHENGUO SHI#,*, QIAOYUN WU#, HAIYAN SHI, SONGTIE YING, LIANG TAO

    BIOCELL, Vol.46, No.4, pp. 979-988, 2022, DOI:10.32604/biocell.2022.015345

    Abstract NLRP3 inflammasome-mediated cell pyroptosis aggravates the development of cerebral ischemia/reperfusion (I/R) injury, and the aim of this study is to investigate the potential utilization of the Chinese medicine, Puerarin, in treating this disease. Through conducting in vitro and in vivo experiments, the present study illustrated that Puerarin regulated LncRNA double homeobox A pseudogene 8 (DUXAP8)/miR-223-3p axis to inactivate NLRP3-mediated pyroptotic cell death, resulting in the attenuation of I/R injury. Specifically, the cerebral I/R injury in rat models and hypoxia/reoxygenation (H/R) in primary hippocampus neuron (PHN) cells were inducted, which were subsequently exposed to Puerarin treatment. As expected, we validated that… More >

  • Open Access

    ARTICLE

    The role of baicalin on carbon tetrachloride induced liver fibrosis

    MENGTING LI*, YI-ER QIU, KAIFENG ZHENG

    BIOCELL, Vol.46, No.4, pp. 1089-1096, 2022, DOI:10.32604/biocell.2022.013432

    Abstract The effect of the baicalin, a bio-active flavonoid extracted from Scutellaria baicalensis Georgi, on the carbon tetrachloride (CCl4) induced liver fibrosis was investigated. To compare the effect of baicalin on the liver fibrosis, five different groups of rats treated by 100, 200, and 400 mg/kg baicalin were studied. Upon CCl4 treatment, the levels of procollagen type III, aspartate aminotransferase, aminotransferase, hyaluronic acid, and hydroxyproline were significantly increased, whereas the superoxide dismutase and glutathione peroxidase content were decreased. These changes in the biochemical parameters, which are associated with liver function, were significantly attenuated by the baicalin treatment, suggesting that baicalin can… More >

  • Open Access

    ARTICLE

    New 5G Kaiser-Based Windowing to Reduce Out of Band Emission

    Ahmed Hammoodi1, Lukman Audah1 , Laith Al-Jobouri2,*, Mazin Abed Mohammed3, Mustafa S. Aljumaily4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 2721-2738, 2022, DOI:10.32604/cmc.2022.020091

    Abstract OFDM based waveforms are considered as the main part of the latest cellular communications standard (namely 5G). Many inherited problems from the OFDM-Based LTE are still under investigation. Getting rid of the out of band emissions is one of these problems. Ensuring low out of band emission (OOBE) is deemed as one of the most critical challenges to support development of future technologies such as 6G and beyond. Universal Filtered Multi Carrier (UFMC) has been considered as one of the candidate waveforms for the 5G communications due to its robustness against Inter Carrier Interference (ICI) and the Inter Symbol Interference… More >

  • Open Access

    ARTICLE

    Sine Trigonometry Operational Laws for Complex Neutrosophic Sets and Their Aggregation Operators in Material Selection

    D. Ajay1, J. Aldring1, G. Rajchakit2, P. Hammachukiattikul3, N. Boonsatit4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1033-1076, 2022, DOI:10.32604/cmes.2022.018267

    Abstract In this paper, sine trigonometry operational laws (ST-OLs) have been extended to neutrosophic sets (NSs) and the operations and functionality of these laws are studied. Then, extending these ST-OLs to complex neutrosophic sets (CNSs) forms the core of this work. Some of the mathematical properties are proved based on ST-OLs. Fundamental operations and the distance measures between complex neutrosophic numbers (CNNs) based on the ST-OLs are discussed with numerical illustrations. Further the arithmetic and geometric aggregation operators are established and their properties are verified with numerical data. The general properties of the developed sine trigonometry weighted averaging/geometric aggregation operators for… More >

  • Open Access

    ARTICLE

    Range-Only UWB SLAM for Indoor Robot Localization Employing Multi-Interval EFIR Rauch-Tung-Striebel Smoother

    Yanli Gao1, Wanfeng Ma2, Jing Cao2, Jianling Qu1 and Yuan Xu2,3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1221-1237, 2022, DOI:10.32604/cmes.2022.017533

    Abstract For improving the localization accuracy, a multi-interval extended finite impulse response (EFIR)-based RauchTung-Striebel (R-T-S) smoother is proposed for the range-only ultra wide band (UWB) simultaneous localization and mapping (SLAM) for robot localization. In this mode, the EFIR R-T-S (ERTS) smoother employs EFIR filter as the forward filter and the R-T-S smoothing method to smooth the EFIR filter’s output. When the east or the north position is considered as stance, the ERTS is used to smooth the position directly. Moreover, the estimation of the UWB Reference Nodes’ (RNs’) position is smoothed by the R-T-S smooth method in parallel. The test illustrates… More >

  • Open Access

    ARTICLE

    Time Synchronized Velocity Error for Trajectory Compression

    Haibao Jiang1, Dezhi Han1,*, Han Liu1, Jiuzhang Han1 and Wenjing Nie2

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1193-1219, 2022, DOI:10.32604/cmes.2022.017663

    Abstract Nowadays, distance is usually used to evaluate the error of trajectory compression. These methods can effectively indicate the level of geometric similarity between the compressed and the raw trajectory, but it ignores the velocity error in the compression. To fill the gap of these methods, assuming the velocity changes linearly, a mathematical model called SVE (Time Synchronized Velocity Error) for evaluating compression error is designed, which can evaluate the velocity error effectively, conveniently and accurately. Based on this model, an innovative algorithm called SW-MSVE (Minimum Time Synchronized Velocity Error Based on Sliding Window) is proposed, which can minimize the velocity… More >

  • Open Access

    ARTICLE

    Lacunary Generating Functions of Hybrid Type Polynomials in Viewpoint of Symbolic Approach

    Nusrat Raza1, Umme Zainab2 and Serkan Araci3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 903-921, 2022, DOI:10.32604/cmes.2022.017669

    Abstract In this paper, we introduce mon-symbolic method to obtain the generating functions of the hybrid class of Hermite-associated Laguerre and its associated polynomials. We obtain the series definitions of these hybrid special polynomials. Also, we derive the double lacunary generating functions of the Hermite-Laguerre polynomials and the Hermite-Laguerre-Wright polynomials. Further, we find multiplicative and derivative operators for the Hermite-Laguerre-Wright polynomials which helps to find the symbolic differential equation of the Hermite-Laguerre-Wright polynomials. Some concluding remarks are also given. More >

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