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您的检索式：作者名="Zhaoxu Yao"
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| 1 | Static analysis of tympanic membrane in aero-otitis media by three-dimensional model of the middle ear显示文摘The three-dimensional(3D)model of the middle ear is of great significance to the research of middle ear related diseases.The particular focus of this work is to simulate the impact of aircraft altitude and speed changes on the tympanic membrane(TM)during the descent phase,so as to analyze the pathogenesis of aero-otitis media and the mechanical response characteristics of TM under static pressure.The simulations showed that the stress and strain of TM increase as the altitude difference and speed of the aircraft increase,and the maximum stress and strain areas are consistent with the clinical observation of TM hyperemia.Therefore,among many prevention and treatment measures of aero-otitis media,it is a therapeutic method to directly balance the pressure difference between the inner and outer TM. | Kaili Sun Xu Bie Zhixing Feng Shen Yu Xiuzhen Sun Jizhe Wang Yingxi Liu Lina Peng Zhaoxu Yao | 2022 | Theoretical & Applied Mechanics Letters2022，12，2： | 0 |
| 2 | Novel defined N7-methylguanosine modification-related lncRNAs for predicting the prognosis of laryngeal squamous cell carcinoma显示文摘Objective:Through integrated bioinformatics analysis,the goal of this work was to find new,characterised N7-methylguanosine modification-related long non-coding RNAs(m7G-lncRNAs)that might be used to predict the prognosis of laryngeal squamous cell carcinoma(LSCC).Methods:The clinical data and LSCC gene expression data for the current investigation were initially retrieved from the TCGA database&sanitised.Then,using co-expression analysis of m7G-associated mRNAs&lncRNAs&differential expression analysis(DEA)among LSCC&normal sample categories,we discovered lncRNAs that were connected to m7G.The prognosis prediction model was built for the training category using univariate&multivariate COX regression&LASSO regression analyses,&the model’s efficacy was checked against the test category data.In addition,we conducted DEA of prognostic m7G-lncRNAs among LSCC&normal sample categories&compiled a list of co-expression networks&the structure of prognosis m7G-lncRNAs.To compare the prognoses for individuals with LSCC in the high-&low-risk categories in the prognosis prediction model,survival and risk assessments were also carried out.Finally,we created a nomogram to accurately forecast the outcomes of LSCC patients&created receiver operating characteristic(ROC)curves to assess the prognosis prediction model’s predictive capability.Results:Using co-expression network analysis&differential expression analysis,we discovered 774 m7G-lncRNAs and 551 DEm7G-lncRNAs,respectively.We then constructed a prognosis prediction model for six m7G-lncRNAs(FLG−AS1,RHOA−IT1,AC020913.3,AC027307.2,AC010973.2 and AC010789.1),identified 32 DEPm7G-lncRNAs,analyzed the correlation between 32 DEPm7G-lncRNAs and 13 DEPm7G-mRNAs,and performed survival analyses and risk analyses of the prognosis prediction model to assess the prognostic performance of LSCC patients.By displaying ROC curves and a nomogram,we finally checked the prognosis prediction model's accuracy.Conclusion:By creating novel predictive lncRNA signatures for clinical diagnosis&therapy,our findings will contribute to understanding the pathogenetic process of LSCC. | ZHAOXU YAO HAIBIN MA LIN LIU QIAN ZHAO LONGCHAO QIN XUEYAN REN CHUANJUN WU KAILI SUN | 2023 | BIOCELL2023，47，9： | 0 |
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