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Authors: Hu, Guohua | Gu, Juanjuan | Zheng, Juan | Schnöll, Matthias | He, Fenglian

Article Type: Research Article

Abstract: Considering the complexity of diagnosing lung cancer, a novel neighborhood covering algorithm based on the stages and diagnosis of lung cancer was put forward. The paper used to process a quantity of data, 1074 cases of lung cancer diagnosed from 2013 to 2017 in the Second Hospital of Anhui Medical University. Modeling and processing the data set by using the improved neighborhood covering algorithm, so as to mine and use the potential information in the data set as much as possible. The Objective is to predict the lung cancer patients reasonably. Experimental results show that the improved algorithm is effective …in lung cancer staging prediction, and has faster training speed and better performance. The new method for staging diagnosis of lung cancer and a new reference for the clinical treatment of lung cancer research is provided. Show more

Keywords: Neighborhood covering algorithm, stages of lung cancer, lung cancer staging prediction

DOI: 10.3233/JCM-180872

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. 2, pp. 317-326, 2019

Authors: Zheng, Juan | Hong, Lei | Gu, Juanjuan | Duan, Huimin | Zhang, Qian

Article Type: Research Article

Abstract: In the engineering applications, the distribution of objects is mostly random. Therefore, scattering analysis of randomly distributed objects has been one of the important problems in broadband electromagnetic calculation field. To resolve the problem, the Asymptotic Waveform Evaluation technique in conjunction with Monte Carlo Method is presented. First, the stochastic distribution is modeled by the Monte Carlo Method, and then the Asymptotic Waveform Evaluation technique using Padé approximation is utilized to achieve the Radar Cross Section at a wide frequency band. Numerical results show that the Asymptotic Waveform Evaluation technique can solve the random distributed object problems efficiently and accurately.

Keywords: Scattering characteristics Asymptotic Waveform Evaluation, Monte Carlo

DOI: 10.3233/JCM-204772

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 5, pp. 1167-1177, 2021

Authors: Huang, Yaolong | Zhang, Xiucheng | Liao, Ping | Zheng, Juan | Lu, Bing

Article Type: Research Article

Abstract: Geological disasters as earthquake, often accompanied with the landslide collapse. Although the earthquake is unpredictable, while the relief can be the most optimal. The earthquake area, often due to earthquake, lead to instability of rock and soil mass, the rescue route is blocked. Time equals life, how to choose a best way to rescue, is extremely important. The manuscript is a kind of measure to determine the rescue route based on fuzzy analytic hierarchy process (AHP), mainly aimed at the geological disaster area, involving the instability of rock and soil mass under seismic action lead to traffic jams, establishing the …best rescue route. Considering the stability of rock and soil under earthquake inducement, this manuscript establishes the model of optimal route selection; determines the influence of earthquake on slope stability through analytic hierarchy process, and establishes the corresponding model; combines matlab programming, establishes the influencing factors of earthquake on slope stability, and combines probability model to realize the choice of optimal rescue route. Show more

Keywords: Earthquake, analytic hierarchy process (AHP), fuzzy, landslide, rescue route

DOI: 10.3233/JCM-215374

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 6, pp. 1871-1880, 2021

Authors: Tian, Xiufen | Zheng, Juan | Luo, Yuanyuan | Wei, Chengshi | Ma, Jing | Wang, Dawei | Li, Keyi

Article Type: Research Article

Abstract: BACKGROUND: DNA methylation plays a vital role as an epigenetic change that contributes to chronic periodontitis. OBJECTIVE: This study aimed to integrate two methylation datasets (GSE173081 and GSE59962) and two gene expression datasets (GSE10334 and GES16134) to identify abnormally methylated differentially expressed genes related to chronic periodontitis. METHODS: Differentially methylated genes were obtained. Functional enrichment analysis of DMGs was performed. The protein-protein interaction (PPI) network was constructed using STRING and Cytoscape software. Finally, the hub genes were selected from the PPI network by using CytoHubba. RESULTS: In total, 122 hypomethylated and highly expressed genes were enriched in the biological mechanisms …that are involved in the differentiation of extracellular matrix organization, extracellular structure organization, and cell chemotaxis. The three selected hub genes of the PPI network were IL1B, KDR, and MMP9. A total of 122 hypermethylated and lowly expressed genes were identified, and biological processes, such as cornification, epidermis development, skin development, and keratinocyte differentiation were enriched. CDSN DSG1, and KRT2 were identified as the top 3 hub genes of the PPI network. CONCLUSION: Based on the comprehensive bioinformatics analysis, six hub genes (IL1B, KDR, MMP9, CDSN DSG1, and KRT2) were associated with chronic periodontitis. Our findings provide novel insights into the mechanisms underlying epigenetic changes in chronic periodontitis. Show more

Keywords: Periodontitis, methylation, transcription, bioinformatic analysis, protein-protein interaction, hub genes

DOI: 10.3233/THC-220137

Citation: Technology and Health Care, vol. 31, no. 3, pp. 809-819, 2023