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RISS 인기검색어
- 검색키워드
- 저자 : Yuan Jingyi (검색결과 5 건)
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Experimental study on vibration characteristics of double-helical gearbox with isolators
Jingyi Gong,Geng Liu,Lan Liu,Bing Yuan,Long Yang,Pengkai Ren 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.9
A power closed double-helical gear test rig with isolators was created to investigate the dynamic response characteristics of the double-helical gearbox. Experimentally, the vibration accelerations of the bearing seat, machine foot, and base were tested under various working conditions. Experiments validated the validity of the generalized finite element theorybased dynamic model of the double-helical gear system. The study found that the unloaded vibration of the gearbox is greatly caused by the shaft frequency excitation due to assembly/manufacturing errors. As the load increases, the assembly/manufacturing errors are compensated by the system deformation. In the acceleration spectrum of the bearing seat, it is found that the tooth surface modification can reduce the amplitude of the mesh frequency, but the bearing outer ring frequency components are increased. That is, the axial movement of double-helical gears is intensified. Furthermore, the closer the excitation frequency is to the natural frequency of the base, the worse the vibration isolation effect is.
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Antimicrobial and Cytotoxic Activity of Endophytic Fungi from Lagopsis supina
Zhang Dekui,Sun Weijian,Xu Wenjie,Ji Changbo,Zhou Yang,Sun Jingyi,Tian Yutong,Li Yanling,Zhao Fengchun,Tian Yuan 한국미생물·생명공학회 2023 Journal of microbiology and biotechnology Vol.33 No.4
In this study, five endophytic fungi belonging to the Aspergillus and Alternaria genera were isolated from Lagopsis supina. The antimicrobial activity of all fungal fermented extracts against Staphylococcus and Fusarium graminearum was tested using the cup-plate method. Among them, Aspergillus ochraceus XZC-1 showed the best activity and was subsequently selected for large-scale fermentation and bioactivity-directed separation of the secondary metabolites. Four compounds, including 2- methoxy-6-methyl-1,4-benzoquinone (1), 3,5-dihydroxytoluene (2), oleic acid (3), and penicillic acid (4) were discovered. Here, compounds 1 and 4 displayed anti-fungal activity against F. graminearum, F. oxysporum, F. moniliforme, F. stratum, Botrytis cinerea, Magnaporthe oryzae, and Verticillium dahliae with diverse MIC values (128–512 μg/ml), which were close to that of the positive control antifungal, actidione (64–128 μg/ml). Additionally, compounds 1 and 4 also exhibited moderate antibacterial activity against S. aureus, Listeria monocytogenes, Escherichia coli, and Salmonella enterica, with low MIC values (8–64 μg/ml). Moreover, compounds 1 and 4 displayed selective cytotoxicity against cancer cell lines as compared with the normal fibroblast cells. Therefore, this study proposes that the endophytic fungi from L. supina can potentially produce bioactive molecules to be used as lead compounds in drugs or agricultural antibiotics.
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A novel immune-related LncRNA prognostic signature for cutaneous melanoma
Hu Nan,Huang Cancan,He Yancheng,Li Shuyang,Yuan Jingyi,Zhong Guishu,Chen Yan 대한독성 유전단백체 학회 2024 Molecular & cellular toxicology Vol.20 No.2
Backgrounds Among tumor microenvironment, the immune components in it have an important influence on gene expression and clinical efficacy. We aim to find out the role of those in skin cutaneous melanoma (SKCM). Objectives Gene expression profile and homologous clinical information of SKCM patients were obtained by TCGA (The Cancer Genome Atlas) and UCSC Toil. SsGSEA method was used to evaluate the immune cell infiltration of 468 TCGA-SKCM samples divided into high immune cell infiltration group (HICI) and low immune cell infiltration group (LICI). We used the Edger packet to conduct difference analysis on normal samples (GTEx) and cancer samples (TCGA), and combined it with the difference of the HICI group and LICI group, to find out the common differential expression of lncRNA in both groups. The prognostic value of immune-related lncRNAs was studied by univariate Cox, Lasso-Cox and multivariate Cox regression analysis, and a prognostic model was established. C index and calibration diagram were used to judge the accuracy of the model, and DCA was used to judge the net benefit. Results Six prognostic markers of immune-related lncRNA genes were established, which could be used as independent prognostic factors. The net benefit and prediction accuracy are significantly higher than TNM Stage. Conclusion The prognostic model identified in this study is a reliable biomarker for SKCM. The Nomogram survival prediction model based on it is a reliable way to predict the median survival time of patients, which may lay the foundation for future treatment of this disease. Backgrounds Among tumor microenvironment, the immune components in it have an important influence on gene expression and clinical efficacy. We aim to find out the role of those in skin cutaneous melanoma (SKCM). Objectives Gene expression profile and homologous clinical information of SKCM patients were obtained by TCGA (The Cancer Genome Atlas) and UCSC Toil. SsGSEA method was used to evaluate the immune cell infiltration of 468 TCGA-SKCM samples divided into high immune cell infiltration group (HICI) and low immune cell infiltration group (LICI). We used the Edger packet to conduct difference analysis on normal samples (GTEx) and cancer samples (TCGA), and combined it with the difference of the HICI group and LICI group, to find out the common differential expression of lncRNA in both groups. The prognostic value of immune-related lncRNAs was studied by univariate Cox, Lasso-Cox and multivariate Cox regression analysis, and a prognostic model was established. C index and calibration diagram were used to judge the accuracy of the model, and DCA was used to judge the net benefit. Results Six prognostic markers of immune-related lncRNA genes were established, which could be used as independent prognostic factors. The net benefit and prediction accuracy are significantly higher than TNM Stage. Conclusion The prognostic model identified in this study is a reliable biomarker for SKCM. The Nomogram survival prediction model based on it is a reliable way to predict the median survival time of patients, which may lay the foundation for future treatment of this disease.
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