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基于Modelica的RAT作动机构仿真及设计参数优化

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深圳大学学报（理工版） 2021年第4期38卷 419-426页

作者：黄艳蔡景代定强南京航空航天大学民航学院江苏南京211106

作动机构是保证冲压空气涡轮(ram air turbine,RAT)系统正常启动和工作的关键,为提高RAT系统作动机构的可靠性,提出一种基于多领域统一建模语言Modelica的RAT作动机构仿真建模及设计参数优化方法.基于实际使用案例建立故障树,明确导致... 详细信息

作动机构是保证冲压空气涡轮(ram air turbine,RAT)系统正常启动和工作的关键,为提高RAT系统作动机构的可靠性,提出一种基于多领域统一建模语言Modelica的RAT作动机构仿真建模及设计参数优化方法.基于实际使用案例建立故障树,明确导致作动机构主要故障模式的组件;采用Modelica语言对RAT作动机构进行仿真建模,对比实际使用情况,验证模型正确性,模型误差约为3.78%;针对相关组件的设计参数对作动机构展开时间和末端速度的敏感性分析,得出主要影响参数;为避免液压油压力过大造成泄漏,在满足作动机构展开时间及末端展开速度约束的前提下,以确定液压油峰值压力最小时的设计参数为目标,仿真得到最优参数设计值.研究成果可为中国RAT正向设计提供参考.

关键词：民用飞机冲压空气涡轮 Modelica 作动机构建模仿真设计参数优化

基于Modelica仿真的RAT作动筒故障原因分析

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南京航空航天大学学报 2021年第1期53卷 136-141页

作者：代定强蔡景黄艳南京航空航天大学民航学院南京211106

冲压空气涡轮(Ram air turbine,RAT)作动筒属于飞机应急备份系统的一部分,故障检测数据少;且由于其属于机电液混合的复杂系统,故障原因隐蔽,因此难以确定导致RAT作动筒故障的原因。针对以上问题,提出了基于Modelica仿真的RAT作动筒故障... 详细信息

冲压空气涡轮(Ram air turbine,RAT)作动筒属于飞机应急备份系统的一部分,故障检测数据少;且由于其属于机电液混合的复杂系统,故障原因隐蔽,因此难以确定导致RAT作动筒故障的原因。针对以上问题,提出了基于Modelica仿真的RAT作动筒故障原因分析。首先,根据RAT作动筒的结构和工作原理建立其Modelica模型,并结合试验数据验证模型的准确性,在两种工况载荷下的误差分别为5.3%和6.3%;然后对模型中重要部件的主要参数进行参数扫描,针对RAT作动筒的无法解锁和展开时间不达标两类故障找到共计4个根原因,并且确定了故障发生的临界条件;最后提出了在用户对RAT作动筒进行检查的建议,通过对弹簧弹力、泄漏流量、阻尼孔和配合表面的简单检测就能判断作动筒的健康状况,为RAT系统作动筒的故障分析和健康监测在工程中的应用提供了参考。

关键词：冲压空气涡轮 Modelica 作动筒故障根原因

基于可靠性、维修性和测试性的民用飞机供应商选择

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航空工程进展 2021年第2期12卷 136-142,156页

作者：黄艳蔡景代定强李海亮南京航空航天大学民航学院南京211106

民用飞机的研制需要供应商的协同和支持,因此民用飞机供应商的选择至关重要。为满足民用飞机着重于可靠性、维修性和测试性的设计理念,提出基于可靠性、维修性和测试性的民用飞机供应商选择方法。首先介绍民用飞机供应商的分类;其次建... 详细信息

民用飞机的研制需要供应商的协同和支持,因此民用飞机供应商的选择至关重要。为满足民用飞机着重于可靠性、维修性和测试性的设计理念,提出基于可靠性、维修性和测试性的民用飞机供应商选择方法。首先介绍民用飞机供应商的分类;其次建立基于不同类型民用飞机供应商的选择准则,并基于选择准则列举相对应的下属指标;最后采用层次分析法,建立氧气系统供应商的选择模型并模拟专家打分,得出不同供应商各准则和指标的权重,根据评分选择最优供应商。结果表明:该方法能够为民用飞机供应商的选择提供不同选择视角,满足现代民用飞机设计理念下对供应商选择的需求。

关键词：民用飞机供应商可靠性维修性测试性

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复方蛤青胶囊质量标准研究

中国药业 2017年第12期26卷 30-34页

作者：吴芳杨燕子樊宝娟罗定强戴涌陕西省食品药品检验所陕西西安710061

目的建立复方蛤青胶囊的质量标准。方法采用薄层色谱(TLC)法定性鉴别制剂中的紫菀、前胡和五味子;采用高效液相色谱(HPLC)法测定制剂中黄芪甲苷和苦杏仁苷的含量。结果建立的TLC法科学,专属性强;黄芪甲苷进样量在0.946~9.46μg范围内与... 详细信息

目的建立复方蛤青胶囊的质量标准。方法采用薄层色谱(TLC)法定性鉴别制剂中的紫菀、前胡和五味子;采用高效液相色谱(HPLC)法测定制剂中黄芪甲苷和苦杏仁苷的含量。结果建立的TLC法科学,专属性强;黄芪甲苷进样量在0.946~9.46μg范围内与峰面积线性关系良好,r=0.999 5,平均回收率为101.12%,RSD为4.17%(n=7);苦杏仁苷进样量在0.370~5.813μg范围内与峰面积线性关系良好,r=0.999 6,平均回收率为96.83%,RSD为3.08%(n=8)。结论建立的方法科学、简便、专属性较强,可有效控制复方蛤青胶囊的质量。

关键词：复方蛤青胶囊紫菀前胡五味子黄芪甲苷苦杏仁苷质量标准

Research status and prospects of the fractal analysis of metal material surfaces and interfaces

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 20-38页

作者： Qinjin dai Xuefeng Liu Xin Ma Shaojie Tian Qinghe Cui Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Beijing Laboratory of Metallic Materials and Processing for Modern Transportation University of Science and Technology BeijingBeijing 100083China Laboratory for Advanced Materials Processing of Ministry of Education University of Science and Technology BeijingBeijing 100083China School of Mechanical and Electrical Engineering Xinjiang Institute of EngineeringUrumqi 830023China

As a mathematical analysis method,fractal analysis can be used to quantitatively describe irregular shapes with self-similar or self-affine *** analysis has been used to characterize the shapes of metal materials at various scales and *** methods make it difficult to quantitatively describe the relationship between the regular characteristics and properties of metal material surfaces and ***,fractal analysis can be used to quantitatively describe the shape characteristics of metal materials and to establish the quantitative relationships between the shape characteristics and various properties of metal *** the perspective of two-dimensional planes and three-dimensional curved surfaces,this paper reviews the current research status of the fractal analysis of metal precipitate interfaces,metal grain boundary interfaces,metal-deposited film surfaces,metal fracture surfaces,metal machined surfaces,and metal wear *** relationship between the fractal dimensions and properties of metal material surfaces and interfaces is *** from three perspectives of fractal analysis,namely,research scope,image acquisition methods,and calculation methods,this paper identifies the direction of research on fractal analysis of metal material surfaces and interfaces that need to be *** is believed that revealing the deep influence mechanism between the fractal dimensions and properties of metal material surfaces and interfaces will be the key research direction of the fractal analysis of metal materials in the future.

关键词： metal material surfaces and interfaces fractal analysis fractal dimension homogeneity

SensFL:Privacy-Preserving Vertical Federated Learning with Sensitive Regularization

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 385-404页

作者： Chongzhen Zhang Zhichen Liu Xiangrui Xu Fuqiang Hu Jiao dai Baigen Cai Wei Wang School of Automation and Intelligence Beijing Jiaotong UniversityBeijing100044China Shuohuang Railway Development Co. Ltd.National Energy GroupCangzhou062350China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation School of Computer Science and TechnologyBeijing Jiaotong UniversityBeijing100044China

In the realm of Intelligent Railway Transportation Systems,effective multi-party collaboration is crucial due to concerns over privacy and data *** Federated Learning(VFL)has emerged as a promising approach to facilitate such collaboration,allowing diverse entities to collectively enhance machine learning models without the need to share sensitive training ***,existing works have highlighted VFL’s susceptibility to privacy inference attacks,where an honest but curious server could potentially reconstruct a client’s raw data from embeddings uploaded by the *** vulnerability poses a significant threat to VFL-based intelligent railway transportation *** this paper,we introduce SensFL,a novel privacy-enhancing method to against privacy inference attacks in ***,SensFL integrates regularization of the sensitivity of embeddings to the original data into the model training process,effectively limiting the information contained in shared *** reducing the sensitivity of embeddings to the original data,SensFL can effectively resist reverse privacy attacks and prevent the reconstruction of the original data from the *** experiments were conducted on four distinct datasets and three different models to demonstrate the efficacy of *** results show that SensFL can effectively mitigate privacy inference attacks while maintaining the accuracy of the primary learning *** results underscore SensFL’s potential to advance privacy protection technologies within VFL-based intelligent railway systems,addressing critical security concerns in collaborative learning environments.

关键词： Vertical federated learning privacy defenses

Peripheral blood RNA biomarkers can predict lesion severity in degenerative cervical myelopathy

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Neural Regeneration Research 2025年第6期20卷 1764-1775页

作者： Zhenzhong Zheng Jialin Chen Jinghong Xu Bin Jiang Lei Li Yawei Li Yuliang dai Bing Wang Department of Spine Surgery The Second Xiangya Hospital of Central South UniversityChangshaHunan ProvinceChina

Degenerative cervical myelopathy is a common cause of spinal cord injury,with longer symptom duration and higher myelopathy severity indicating a worse *** numerous studies have investigated serological biomarkers for acute spinal cord injury,few studies have explored such biomarkers for diagnosing degenerative cervical *** study involved 30 patients with degenerative cervical myelopathy(51.3±7.3 years old,12 women and 18 men),seven healthy controls(25.7±1.7 years old,one woman and six men),and nine patients with cervical spondylotic radiculopathy(51.9±8.6 years old,three women and six men).Analysis of blood samples from the three groups showed clear differences in transcriptomic *** analysis identified 128 differentially expressed genes that were enriched in patients with neurological *** least absolute shrinkage and selection operator analysis,we constructed a five-gene model(TBCD,TPM2,PNKD,EIF4G2,and AP5Z1)to diagnose degenerative cervical myelopathy with an accuracy of 93.5%.One-gene models(TCAP and SDHA)identified mild and severe degenerative cervical myelopathy with accuracies of 83.3%and 76.7%,*** of two immune cell types(memory B cells and memory-activated CD4^(+)T cells)predicted levels of lesions in degenerative cervical myelopathy with 80%*** results suggest that peripheral blood RNA biomarkers could be used to predict lesion severity in degenerative cervical myelopathy.

关键词： biomarkers candidate genes degenerative cervical myelopathy gene expression analysis immune cell types neurological disabilities peripheral blood RNA profiles spinal cord injury

Gut microbiota-astrocyte axis: new insights into age-related cognitive decline

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Neural Regeneration Research 2025年第4期20卷 990-1008页

作者： Lan Zhang Jingge Wei Xilei Liu dai Li Xiaoqi Pang Fanglian Chen Hailong Cao Ping Lei Haihe Laboratory of Cell Ecosystem Department of GeriatricsTianjin Medical University General HospitalTianjinChina Tianjin Geriatrics Institute Tianjin Medical University General HospitalTianjinChina Department of Gastroenterology and Hepatology Tianjin Medical University General HospitalNational Key Clinical SpecialtyTianjin Institute of Digestive DiseasesTianjin Key Laboratory of Digestive DiseasesTianjinChina Department of Urology Tianjin Medical University General HospitalTianjinChina Tianjin Neurological Institution Tianjin Medical University General HospitalTianjinChina

With the rapidly aging human population,age-related cognitive decline and dementia are becoming increasingly prevalent *** is considered the main risk factor for cognitive decline and acts through alterations in the composition of the gut microbiota,microbial metabolites,and the functions of *** microbiota–gut–brain axis has been the focus of multiple studies and is closely associated with cognitive *** article provides a comprehensive review of the specific changes that occur in the composition of the gut microbiota and microbial metabolites in older individuals and discusses how the aging of astrocytes and reactive astrocytosis are closely related to age-related cognitive decline and neurodegenerative *** article also summarizes the gut microbiota components that affect astrocyte function,mainly through the vagus nerve,immune responses,circadian rhythms,and microbial ***,this article summarizes the mechanism by which the gut microbiota–astrocyte axis plays a role in Alzheimer’s and Parkinson’s *** findings have revealed the critical role of the microbiota–astrocyte axis in age-related cognitive decline,aiding in a deeper understanding of potential gut microbiome-based adjuvant therapy strategies for this condition.

关键词： age aging Alzheimer’s disease astrocytes cognitive decline dementia gut microbiota gut–brain axis microbial metabolites neuroinflammation Parkinson’s disease

Inhibiting SHP2 reduces glycolysis, promotes microglial M1 polarization, and alleviates secondary inflammation following spinal cord injury in a mouse model

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Neural Regeneration Research 2025年第3期20卷 858-872页

作者： Xintian Ding Chun Chen Heng Zhao Bin dai Lei Ye Tao Song Shuai Huang Jia Wang Tao You Department of Orthopedics The First Affiliated Hospital of USTCDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhui ProvinceChina Department of Orthopedics Provincial Hospital Affiliated to Anhui Medical UniversityHefeiAnhui ProvinceChina

Reducing the secondary inflammatory response, which is partly mediated by microglia, is a key focus in the treatment of spinal cord injury. Src homology 2-containing protein tyrosine phosphatase 2(SHP2), encoded by PTPN11, is widely expressed in the human body and plays a role in inflammation through various mechanisms. Therefore, SHP2 is considered a potential target for the treatment of inflammation-related diseases. However, its role in secondary inflammation after spinal cord injury remains unclear. In this study, SHP2 was found to be abundantly expressed in microglia at the site of spinal cord injury. Inhibition of SHP2 expression using siRNA and SHP2 inhibitors attenuated the microglial inflammatory response in an in vitro lipopolysaccharide-induced model of inflammation. Notably, after treatment with SHP2 inhibitors, mice with spinal cord injury exhibited significantly improved hind limb locomotor function and reduced residual urine volume in the bladder. Subsequent in vitro experiments showed that, in microglia stimulated with lipopolysaccharide, inhibiting SHP2 expression promoted M2 polarization and inhibited M1 polarization. Finally, a co-culture experiment was conducted to assess the effect of microglia treated with SHP2 inhibitors on neuronal cells. The results demonstrated that inflammatory factors produced by microglia promoted neuronal apoptosis, while inhibiting SHP2 expression mitigated these effects. Collectively, our findings suggest that SHP2 enhances secondary inflammation and neuronal damage subsequent to spinal cord injury by modulating microglial phenotype. Therefore, inhibiting SHP2 alleviates the inflammatory response in mice with spinal cord injury and promotes functional recovery postinjury.

关键词： apoptosis glycolysis inflammatory response microglia neurons polarization spinal cord injury Src homology 2-containing protein tyrosine phosphatase 2