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Effect of Introduction of Light Rare-Earth into Heavy Ones on Magnetic Properties of the Alloys

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Journal of Materials Science & Technology 1997年第4期13卷 293-295页

作者： dai, w Yang, JX Shen, BG Li, DX Gao, ZX CHINESE ACAD SCI INST PHYSBEIJING 100080PEOPLES R CHINA BEIJING UNIV DEPT PHYSBEIJING 100871PEOPLES R CHINA

The magnetic properties in Dy-Y, Dy-Nd, Dy-Pr and Gd-Dy-Nd alloy systems have been studied. (GdDy)(100-x)Nd-x (x = 0, 10, 20 and 30) enter into their sole ferromagnetic ordering phases at temperatures from 165 to 235 ... 详细信息

关键词： Refrigerants

Event-triggered H∞ Consensus of Leader-follower Multi-agent Systems

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Event-triggered H∞ Consensus of Leader-follower Multi-agent...

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

第43届中国控制会议

作者： Cheng Gong Chenguang Ai Xuemin Zuo Zhuang Ma w.dai Key Lab of Intelligent Data Information Processing and Control of Hebei Province Key Lab of Intelligent Motion Control System of Tangshan City Intelligence and Information Engineering College Tangshan University Hebei Jianzhi Casting Group Ltd. College of Electrical Engineering North China University of Science and Technology

This paper discusses the H consensus problem of leader-follower multi-agent systems. The controller for each agent is crafted to utilize comprehensive information from all connected agents, while an innovative event-triggered strategy is incorporated to minimize communication costs. Based on the Lyapunov function theory, an H controller is proposed that can ensure both system stability and a prescribed disturbance attenuation level γ. Finally, a numerical example validated the effectiveness of the proposed method.

关键词： Leader-follower Multi-agent systems Event-triggered H_∞ consensus

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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

Role of keratinocyte growth factor in the pathogenesis of autosomal dominant polycystic kidney disease

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第二军医大学学报 2006年第6期27卷 675-675页

作者： Mei C Mao Z Shen X wang w dai B Tang B wu Y Cao Y Zhang S Zhao H Sun T Division of Nephrology Department of Internal Medicine Changzheng Hospital Second Military Medical University Shanghai 200003 China

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

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引用次序研究

情报科学 1988年第2期 2-14页

作者：戴维民空军政治学院图书档案系

引用次序是情报检索语言重要句法手段之一,对控制文献标引质量和提高检索效率有重要作用。本文通过对国内外引用次序的全面分析、比较和评价,展示国内外引用次序研究的进展及其国内对引用次序的缺乏,以此引起国内图书槽报界对引用次序... 详细信息

引用次序是情报检索语言重要句法手段之一,对控制文献标引质量和提高检索效率有重要作用。本文通过对国内外引用次序的全面分析、比较和评价,展示国内外引用次序研究的进展及其国内对引用次序的缺乏,以此引起国内图书槽报界对引用次序研究的重视。

关键词： citation analysis information retrieval language

天水-秦安地区新生代构造和地貌演化的碎屑锆石证据

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中国科学：地球科学 2016年第12期46卷 1633-1644页

作者：王治祥梁美艳孙宇奇戴高文中国地质大学地球科学学院生物地质与环境地质国家重点实验室武汉430074 中国地质大学地球科学学院流域关键带演化实验室武汉430074 中国地质大学公共管理学院区域规划系武汉430074 中国地质大学公共管理学院地理环境与国家公园实验室武汉430074

天水-秦安地区保存有多种成因类型的新生代沉积物,其物质来源及其变化对于研究青藏高原东北部的隆升剥蚀历史、构造变形方式以及与之相关的地貌演化过程具有重要意义.本文通过碎屑锆石U-Pb年龄物源示踪方法,对该区的古近纪洪积砾岩、新... 详细信息

天水-秦安地区保存有多种成因类型的新生代沉积物,其物质来源及其变化对于研究青藏高原东北部的隆升剥蚀历史、构造变形方式以及与之相关的地貌演化过程具有重要意义.本文通过碎屑锆石U-Pb年龄物源示踪方法,对该区的古近纪洪积砾岩、新近纪河流和湖相沉积进行了分析,并与中新世以来的风尘堆积进行了对比.结果显示：1）古近纪洪积砾岩中包含大量亲扬子地块的560~1100Ma的锆石颗粒,但这一年龄的锆石颗粒在早中新世河流相沉积中显著减少,同时出现了大量200~360Ma的锆石颗粒,指示着古近纪洪积砾岩主要来自西秦岭的中部和/或南部,而早中新世河流相沉积主要来自西秦岭北部;2）约11.5Ma以来,该区河流相沉积以380~450Ma的锆石颗粒占主导,与六盘山南部岩体的年龄一致,指示着六盘山南部的初始隆升;3）该区晚中新世湖相沉积的锆石年龄分布明显不同于同时期的河流沉积物,但与秦安中新世风成红土、晚中新世-上新世三趾马红土及第四纪黄土十分相似,指示着该区中新世的细颗粒水成沉积物很可能主要为风尘物质.本文的研究揭示出天水-秦安地区新生代沉积物的物源转变和地貌演化均与青藏高原东北部的阶段性隆升密切相关,特别是晚渐新世-早中新世青藏高原北部的隆升,可能既为中新世风成红土的出现创造了物源和风动力条件,也为其堆积创造了地貌条件.

关键词：碎屑锆石物源构造隆升地貌演化天水-秦安地区