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  • Open Access

    ARTICLE

    Label-free quantitative proteomics analysis models in vivo and in vitro reveal key proteins and potential roles in sciatic nerve injury

    YANG GU1,#,*, MINGGUANG BI2,#, DEHUI CHEN3, NING NI4, JIANMING CHEN1,*

    BIOCELL, Vol.47, No.9, pp. 2069-2080, 2023, DOI:10.32604/biocell.2023.029989

    Abstract Background: The underlying mechanism of sciatic nerve injury (SNI) is a common motor functional disorder, necessitates further research. Methods: A rat model of SNI was established, with the injury group subjected to compressive injury of the right sciatic nerve exposed at the midpoint of the thigh and the sham surgery group undergoing the same surgical procedure. An oxygen-glucose deprivation model was employed to simulate in vitro SNI in PC12 cells. Following data acquisition and quality control, differentially expressed proteins (DEPs) in each model were identified through differential analysis, and enrichment analysis was used to explore the potential functions and pathways… More >

  • Open Access

    ARTICLE

    Comparative transcriptome analysis provides insights into the molecular mechanism of the anti-nematode role of Arachis hypogaea (Fabales: Fabaceae) against Meloidogyne incognita (Tylenchida: Heteroderidae)

    XUEJIN YANG1,2,#, YUANYUAN ZHOU1,#, XINYI PENG1, XIAOHONG FU1, JIANQING MA1, JIANFENG LIU1,*, DANDAN CAO1,2,*

    BIOCELL, Vol.47, No.9, pp. 2101-2113, 2023, DOI:10.32604/biocell.2023.029581

    Abstract Background: Plant root-knot nematode (RKN) disease is a serious threat to agricultural production across the world. Meloidogyne incognita is the most prominent pathogen to the vegetables and cash crops cultivated. Arachis hypogaea can effectively inhibit M. incognita, but the underlying defense mechanism is still unclear. Methods: In our study, the chemotaxis and infestation of the second-stage juveniles (J2s) of M. incognita to A. hypogaea root tips were observed by the Pluronic F-127 system and stained with sodium hypochlorite acid fuchsin, respectively. The transcriptome data of A. hypogaea roots with non-infected or infected by J2s were analyzed. Results: The J2s could… More >

  • Open Access

    ARTICLE

    Initial steps on the analysis of the underlying pharmacological mechanisms of Wendan decoction on sudden deafness using network pharmacology and molecular docking

    SHIMING YE1,2,#, YUFENG ZHANG3,#, TING LIU4, CONG WANG3, ZHENG YAN5, WANDONG SHE2,*, HAIBING HUA4,*

    BIOCELL, Vol.47, No.9, pp. 1947-1964, 2023, DOI:10.32604/biocell.2023.029333

    Abstract Background: Despite its widespread therapeutic use and effectiveness, the underlying pharmacologic mechanisms of Wendan decoction (WDD) and how it works to treat sudden deafness (SD) remain unclear. In this study, the pharmacological mechanisms of WDD underlying SD were analyzed using network pharmacology and molecular docking. Methods: The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was employed to identify the active compounds and target genes of WDD, and genes associated with SD were screened on five databases. RGUI conducted Gene Ontology (GO) functional and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A compound-target network was… More >

  • Open Access

    ARTICLE

    Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques

    Mian Muhammad Danyal1, Sarwar Shah Khan2,4, Muzammil Khan2,*, Muhammad Bilal Ghaffar1, Bilal Khan1, Muhammad Arshad3

    Journal on Big Data, Vol.5, pp. 1-18, 2023, DOI:10.32604/jbd.2023.041319

    Abstract Movies are the better source of entertainment. Every year, a great percentage of movies are released. People comment on movies in the form of reviews after watching them. Since it is difficult to read all of the reviews for a movie, summarizing all of the reviews will help make this decision without wasting time in reading all of the reviews. Opinion mining also known as sentiment analysis is the process of extracting subjective information from textual data. Opinion mining involves identifying and extracting the opinions of individuals, which can be positive, neutral, or negative. The task of opinion mining also… More >

  • Open Access

    ARTICLE

    Diagnosis of Disc Space Variation Fault Degree of Transformer Winding Based on K-Nearest Neighbor Algorithm

    Song Wang1,*, Fei Xie1, Fengye Yang1, Shengxuan Qiu1, Chuang Liu2, Tong Li3

    Energy Engineering, Vol.120, No.10, pp. 2273-2285, 2023, DOI:10.32604/ee.2023.030107

    Abstract Winding is one of the most important components in power transformers. Ensuring the health state of the winding is of great importance to the stable operation of the power system. To efficiently and accurately diagnose the disc space variation (DSV) fault degree of transformer winding, this paper presents a diagnostic method of winding fault based on the K-Nearest Neighbor (KNN) algorithm and the frequency response analysis (FRA) method. First, a laboratory winding model is used, and DSV faults with four different degrees are achieved by changing disc space of the discs in the winding. Then, a series of FRA tests… More > Graphic Abstract

    Diagnosis of Disc Space Variation Fault Degree of Transformer Winding Based on K-Nearest Neighbor Algorithm

  • Open Access

    ARTICLE

    Study on Flow Field Simulation at Transmission Towers in Loess Hilly Regions Based on Circular Boundary Constraints

    Yongxin Liu1, Huaiwei Cao2, Puyu Zhao2, Gang Yang1, Hua Yu1, Fuwei He3, Bo He2,*

    Energy Engineering, Vol.120, No.10, pp. 2417-2431, 2023, DOI:10.32604/ee.2023.029596

    Abstract When using high-voltage transmission lines for energy transmission in loess hilly regions, local extreme wind fields such as turbulence and high-speed cyclones occur from time to time, which can cause many kinds of mechanical and electrical failures, seriously affecting the reliable and stable energy transmission of the power grid. The existing research focuses on the wind field simulation of ideal micro-terrain and actual terrain with mostly single micro-terrain characteristics. Model boundary constraints and the influence of constrained boundaries are the main problems that need to be solved to accurately model and simulate complex flow fields. In this paper, a flow… More >

  • Open Access

    ARTICLE

    Simulation Analysis of New Energy Vehicle Engine Cooling System Based on K-E Turbulent Flow Mathematical Model

    Hongyu Mu1,2,*, Yinyan Wang1, Chuanlei Yang1, Hong Teng2, Xingtian Zhao2, Hongquan Lu2, Dechun Wang2, Shiyang Hao2, Xiaolong Zhang2, Yan Jin2

    Energy Engineering, Vol.120, No.10, pp. 2325-2342, 2023, DOI:10.32604/ee.2023.029360

    Abstract New energy vehicles have better clean and environmental protection characteristics than traditional fuel vehicles. The new energy engine cooling technology is critical in the design of new energy vehicles. This paper used one-and three-way joint simulation methods to simulate the refrigeration system of new energy vehicles. Firstly, a k-ε turbulent flow model for the cooling pump flow field is established based on the principle of computational fluid dynamics. Then, the CFD commercial fluid analysis software FLUENT is used to simulate the flow field of the cooling pump under different inlet flow conditions. This paper proposes an optimization scheme for new… More > Graphic Abstract

    Simulation Analysis of New Energy Vehicle Engine Cooling System Based on K-E Turbulent Flow Mathematical Model

  • Open Access

    ARTICLE

    An Interpolation Method for Karhunen–Loève Expansion of Random Field Discretization

    Zi Han1,*, Zhentian Huang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 245-272, 2024, DOI:10.32604/cmes.2023.029708

    Abstract In the context of global mean square error concerning the number of random variables in the representation, the Karhunen–Loève (KL) expansion is the optimal series expansion method for random field discretization. The computational efficiency and accuracy of the KL expansion are contingent upon the accurate resolution of the Fredholm integral eigenvalue problem (IEVP). The paper proposes an interpolation method based on different interpolation basis functions such as moving least squares (MLS), least squares (LS), and finite element method (FEM) to solve the IEVP. Compared with the Galerkin method based on finite element or Legendre polynomials, the main advantage of the… More > Graphic Abstract

    An Interpolation Method for Karhunen–Loève Expansion of Random Field Discretization

  • Open Access

    ARTICLE

    Outage Probability Analysis for D2D-Enabled Heterogeneous Cellular Networks with Exclusion Zone: A Stochastic Geometry Approach

    Yulei Wang1, Li Feng1,*, Shumin Yao1,2, Hong Liang1, Haoxu Shi1, Yuqiang Chen3

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 639-661, 2024, DOI:10.32604/cmes.2023.029565

    Abstract Interference management is one of the most important issues in the device-to-device (D2D)-enabled heterogeneous cellular networks (HetCNets) due to the coexistence of massive cellular and D2D devices in which D2D devices reuse the cellular spectrum. To alleviate the interference, an efficient interference management way is to set exclusion zones around the cellular receivers. In this paper, we adopt a stochastic geometry approach to analyze the outage probabilities of cellular and D2D users in the D2D-enabled HetCNets. The main difficulties contain three aspects: 1) how to model the location randomness of base stations, cellular and D2D users in practical networks; 2)… More >

  • Open Access

    ARTICLE

    Bifurcation Analysis of a Nonlinear Vibro-Impact System with an Uncertain Parameter via OPA Method

    Dongmei Huang1, Dang Hong2, Wei Li1,*, Guidong Yang1, Vesna Rajic3

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 509-524, 2024, DOI:10.32604/cmes.2023.029215

    Abstract In this paper, the bifurcation properties of the vibro-impact systems with an uncertain parameter under the impulse and harmonic excitations are investigated. Firstly, by means of the orthogonal polynomial approximation (OPA) method, the nonlinear damping and stiffness are expanded into the linear combination of the state variable. The condition for the appearance of the vibro-impact phenomenon is to be transformed based on the calculation of the mean value. Afterwards, the stochastic vibro-impact system can be turned into an equivalent high-dimensional deterministic non-smooth system. Two different Poincaré sections are chosen to analyze the bifurcation properties and the impact numbers are identified… More >

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