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Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering最新文献

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Influencing factors and measure of the activity space of the elderly: a case study of Kunming city 老年人活动空间的影响因素及测度——以昆明市为例
Q4 Engineering Pub Date : 2023-03-01 DOI: 10.3724/sp.j.1249.2023.02188
Mingwei He, Kun Cao, Mingwei He, Yang Liu, Zhuangbin Shi
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引用次数: 0
Examination, optimization and application of automatic cryogenic vacuum distillation system 全自动深冷减压蒸馏系统的检验、优化及应用
Q4 Engineering Pub Date : 2023-03-01 DOI: 10.3724/sp.j.1249.2023.02179
Jing Jian, Wei Wen, Xin Song
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引用次数: 0
Association studies between COVID-19 and SSc-ILD COVID-19与SSc-ILD的相关性研究
Q4 Engineering Pub Date : 2023-03-01 DOI: 10.3724/sp.j.1249.2023.02171
Yan Zhou, Jing-Hua Jiang
Severe COVID-19 patients may develop pulmonary fibrosis, similar to SSc-ILD disease, suggesting a potential link between the two diseases. However, there are limited treatment options for SSc-ILD-type diseases. Therefore, investigating pathological markers of the two diseases can provide valuable insights for treating related conditions. RNA sequencing technology offers high throughput and precision. However, the bimodal nature of RNA-Seq data cannot be accurately captured by commonly used algorithms such as DESeq2. To address this issue, the Beta-Poisson model has been developed to identify differentially expressed genes. Unlike the classical DESeq2 algorithm, the Beta-Poisson model introduces a Beta distribution to construct a new hybrid distribution in place of the Gamma distribution of the Gamma-Poisson distribution, effectively characterizing the bimodal features of RNA-Seq data. The transcriptomes of SARS-CoV infection and SSc-ILD disease in the lung epithelial cell dataset were analyzed to identify common differentially expressed genes of SARS-CoV and SSc-ILD disease. Gene function and signaling pathway enrichment analysis and protein-protein interaction (PPI) network were used to identify common pathways and drug targets for SSc-ILD with COVID-19 infection. The results show that there are 50 differentially expressed genes in common between COVID-19 and SSC-ILD. The functions of these genes are mainly enriched in immune system response, interferon signaling pathway and other related signaling pathways, and enriched in biological processes such as cell defense response to virus and interferon regulation. Based on the detection of hub genes based on PPIs network, it is predicted that STAT1, ISG15, IRF7, MX1, EIF2AK2, DDX58, OAS1, OAS2, IFIT1 and IFIT3 are the key genes involved in the pathological phenotype of the two diseases. Based on the key genes, the interaction of transcription factor (TF) and miRNA with common differentially expressed genes is also identified. The possible pathological markers of the two diseases and related molecular regulatory mechanisms of disease treatment are revealed to provide theoretical basis for the treatment of the two diseases. © 2023 Editorial Office of Journal of Shenzhen University. All rights reserved.
严重的COVID-19患者可能会出现肺纤维化,类似于SSc-ILD疾病,这表明这两种疾病之间存在潜在联系。然而,对于ssc - ild型疾病的治疗选择有限。因此,研究这两种疾病的病理标志物可以为治疗相关疾病提供有价值的见解。RNA测序技术具有高通量和高精度。然而,RNA-Seq数据的双峰性质不能被常用的算法(如DESeq2)准确捕获。为了解决这个问题,β -泊松模型已经被开发来识别差异表达的基因。与经典的DESeq2算法不同,Beta- poisson模型引入了Beta分布来构建新的混合分布,以取代Gamma- poisson分布的Gamma分布,有效地表征了RNA-Seq数据的双峰特征。分析肺上皮细胞数据集中SARS-CoV感染和SSc-ILD疾病的转录组,以确定SARS-CoV和SSc-ILD疾病的共同差异表达基因。利用基因功能和信号通路富集分析以及蛋白蛋白相互作用(PPI)网络鉴定SSc-ILD合并COVID-19感染的共同通路和药物靶点。结果显示,COVID-19与SSC-ILD之间存在50个共同的差异表达基因。这些基因的功能主要富集在免疫系统反应、干扰素信号通路等相关信号通路中,富集在细胞对病毒的防御反应、干扰素调控等生物学过程中。基于PPIs网络枢纽基因检测,预测STAT1、ISG15、IRF7、MX1、EIF2AK2、DDX58、OAS1、OAS2、IFIT1、IFIT3是参与两种疾病病理表型的关键基因。基于关键基因,还确定了转录因子(TF)和miRNA与常见差异表达基因的相互作用。揭示两种疾病可能的病理标志物及疾病治疗的相关分子调控机制,为两种疾病的治疗提供理论依据。©2023深圳大学学报编辑部版权所有。
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引用次数: 0
3D forward modeling analysis of lining void detection based on gprMax 基于gprMax的衬里空隙检测三维正演分析
Q4 Engineering Pub Date : 2023-02-01 DOI: 10.3724/sp.j.1249.2023.02127
Xianlong Wu, X. Bao, Xiangsheng Chen, Jun Shen, Hongzhi Cui
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引用次数: 0
政府补贴下考虑利他偏好的供应链扶贫效果 Supply Chain Poverty Alleviation Effect Considering Altruistic Preference under Government Subsidies
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1249.2023.01100
Tianlong Luo, Qingyu Zhang
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引用次数: 0
改进蚁群优化算法的最大似然DOA估计方法 改进蚁群优化算法的最大似然DOA估计方法
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1249.2023.01033
Yameng Jiao, Wenping Li, Yue-jean Wu, Lin Cui
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引用次数: 0
透射电子显微镜空间分辨率综述 Overview of spatial resolution of transmission electron microscopy
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1249.2023.01001
Meijie Yin, Nan Jian, Xi Zhang, Dong-feng Diao
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引用次数: 0
微胶囊-纤维水泥基复合材料的动态压缩性能 微胶囊-纤维水泥基复合材料的动态压缩性能
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1249.2023.01092
Xianfeng Wang, Min Sheng, Dawei Qin, Xiaorui Zhou, Feng Xing
{"title":"微胶囊-纤维水泥基复合材料的动态压缩性能","authors":"Xianfeng Wang, Min Sheng, Dawei Qin, Xiaorui Zhou, Feng Xing","doi":"10.3724/sp.j.1249.2023.01092","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.01092","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43962977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
修复多环芳烃污染地块的土壤氧化剂需求量 修复多环芳烃污染地块的土壤氧化剂需求量
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1249.2023.01048
Senxu Ding, Zongxin Ran, Xiaoshuang Sun, Yunxiao Peng, Jiang Yu
{"title":"修复多环芳烃污染地块的土壤氧化剂需求量","authors":"Senxu Ding, Zongxin Ran, Xiaoshuang Sun, Yunxiao Peng, Jiang Yu","doi":"10.3724/sp.j.1249.2023.01048","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.01048","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48432052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
基于朴素贝叶斯算法评估页岩油藏产能 基于朴素贝叶斯算法评估页岩油藏产能
Q4 Engineering Pub Date : 2023-01-01 DOI: 10.3724/sp.j.1249.2023.01066
Chenggang Liang, Juhua Li, Yiwei Chen, Shunli Qin, Jinfeng Zhang, Ke Hu
{"title":"基于朴素贝叶斯算法评估页岩油藏产能","authors":"Chenggang Liang, Juhua Li, Yiwei Chen, Shunli Qin, Jinfeng Zhang, Ke Hu","doi":"10.3724/sp.j.1249.2023.01066","DOIUrl":"https://doi.org/10.3724/sp.j.1249.2023.01066","url":null,"abstract":"","PeriodicalId":35396,"journal":{"name":"Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44508630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering
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