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社会保险法律性质及其解纷方式研究

西南科技大学学报（哲学社会科学版） 2020年第3期37卷 71-77页

作者：郭俊瑶廖斌中南大学法学院湖南长沙410083 西南科技大学法学院四川绵阳621010

社会保险制度作为社会保障的重要组成部分,在保障公民生存、分散社会风险、促进社会和谐稳定等方面起着关键作用。我国社会保险法从附属于劳动法到独立成法,体现出社会保险法有别于劳动法律制度的基本属性,它属于特别行政法的范畴。在... 详细信息

社会保险制度作为社会保障的重要组成部分,在保障公民生存、分散社会风险、促进社会和谐稳定等方面起着关键作用。我国社会保险法从附属于劳动法到独立成法,体现出社会保险法有别于劳动法律制度的基本属性,它属于特别行政法的范畴。在社会保险制度不断完善的过程中,应从社会保险法致力于实现公民基本权利的性质出发,注重制度的协调性和权利保护的有效性,对于社会保险权利的救济方式的设计,应坚持社会保险制度的特别行政法属性,将劳动争议解决机制中的社会保险纠纷部分区分出去,遵循社会保险法律关系的特殊性,在现有司法体系下明确社会保险纠纷行政解决方式,并在我国法律不断完善的基础上,选择性地借鉴德国社会保险制度的经验,逐步建立起独立严整的社会保险纠纷解决体系。

关键词：社会保险权社会保险关系劳动争议社会保险纠纷

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苏州市工业园区智慧图书流转系统建设分析

文献与数据学报 2021年第2期3卷 119-128页

作者：郭隽瑶张妍苏州大学政治与公共管理学院

[目的/意义]介绍苏州市全民阅读线上平台建设实践,为区域性图书馆改善馆际互借和文献传递服务贡献新思路。[方法/过程]选取苏州市工业园区的"书香园区"智慧图书流转系统作为考察对象,对图书馆工作人员和系统用户进行实地访谈和问卷调查... 详细信息

[目的/意义]介绍苏州市全民阅读线上平台建设实践,为区域性图书馆改善馆际互借和文献传递服务贡献新思路。[方法/过程]选取苏州市工业园区的"书香园区"智慧图书流转系统作为考察对象,对图书馆工作人员和系统用户进行实地访谈和问卷调查。[结果/结论 ]苏州市智慧图书流转系统创新科技引领,通过线上线下相结合的网状图书流转模式,实现了全域性的资源共享和互联互通,具有一定的推广价值。

关键词：图书流转智慧图书馆馆际互借文献传递

Reducing the measurement errors in nonadiabatic holonomic quantum computers

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 64-70页

作者： guo-Fu Xu Department of Physics Shandong University

Nonadiabatic holonomic quantum computers serve as the physical platform for nonadiabatic holonomic quantum *** quantum computation has entered the noisy intermediate-scale era, building accurate intermediate-scale nonadiabatic holonomic quantum computers is clearly necessary. Given that measurements are the sole means of extracting information, they play an indispensable role in nonadiabatic holonomic quantum computers. Accordingly, developing methods to reduce measurement errors in nonadiabatic holonomic quantum computers is of great importance. However, while much attention has been given to the research on nonadiabatic holonomic gates, the research on reducing measurement errors in nonadiabatic holonomic quantum computers is severely lacking. In this study, we propose a measurement error reduction method tailored for intermediate-scale nonadiabatic holonomic quantum computers. The reason we say this is because our method can not only reduce the measurement errors in the computer but also be useful in mitigating errors originating from nonadiabatic holonomic gates. Given these features,our method significantly advances the construction of accurate intermediate-scale nonadiabatic holonomic quantum computers.

关键词： quantum holonomy quantum computation measurement errors

Anomaly Detection of Controllable Electric Vehicles through Node Equation against Aggregation Attack

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Computers, Materials & Continua 2025年第1期82卷 427-442页

作者： Jing guo Ziying Wang Yajuan guo Haitao Jiang State Grid Jiangsu Electric Power Co. Ltd.Research InstituteState Grid Corporation of ChinaNanjing211100China

The rapid proliferation of electric vehicle(EV)charging infrastructure introduces critical cybersecurity vulnerabilities to power grids *** study presents an innovative anomaly detection framework for EV charging stations,addressing the unique challenges posed by third-party aggregation *** approach integrates node equations-based on the parameter identification with a novel deep learning model,xDeepCIN,to detect abnormal data reporting indicative of aggregation *** employ a graph-theoretic approach to model EV charging networks and utilize Markov Chain Monte Carlo techniques for accurate parameter *** xDeepCIN model,incorporating a Compressed Interaction Network,has the ability to capture complex feature interactions in sparse,high-dimensional charging *** results on both proprietary and public datasets demonstrate significant improvements in anomaly detection performance,with F1-scores increasing by up to 32.3%for specific anomaly types compared to traditional methods,such as wide&deep and DeepFM(Factorization-Machine).Our framework exhibits robust scalability,effectively handling networks ranging from 8 to 85 charging ***,we achieve real-time monitoring capabilities,with parameter identification completing within seconds for networks up to 1000 *** research contributes to enhancing the security and reliability of renewable energy systems against evolving cyber threats,offering a comprehensive solution for safeguarding the rapidly expanding EV charging infrastructure.

关键词： Anomaly detection electric vehicle aggregation attack deep cross-network

DIGNN-A:Real-Time Network Intrusion Detection with Integrated Neural Networks Based on Dynamic Graph

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Computers, Materials & Continua 2025年第1期82卷 817-842页

作者： Jizhao Liu Minghao guo College of Computer Zhongyuan University of TechnologyZhengzhou450007China

The increasing popularity of the Internet and the widespread use of information technology have led to a rise in the number and sophistication of network attacks and security *** detection systems are crucial to network security,playing a pivotal role in safeguarding networks from potential ***,in the context of an evolving landscape of sophisticated and elusive attacks,existing intrusion detection methodologies often overlook critical aspects such as changes in network topology over time and interactions between *** address these issues,this paper proposes a real-time network intrusion detection method based on graph neural *** proposedmethod leverages the advantages of graph neural networks and employs a straightforward graph construction method to represent network traffic as dynamic graph-structured ***,a graph convolution operation with a multi-head attention mechanism is utilized to enhance the model’s ability to capture the intricate relationships within the graph structure ***,it uses an integrated graph neural network to address dynamic graphs’structural and topological changes at different time points and the challenges of edge embedding in intrusion detection *** edge classification problem is effectively transformed into node classification by employing a line graph data representation,which facilitates fine-grained intrusion detection tasks on dynamic graph node feature *** efficacy of the proposed method is evaluated using two commonly used intrusion detection datasets,UNSW-NB15 and NF-ToN-IoT-v2,and results are compared with previous studies in this *** experimental results demonstrate that our proposed method achieves 99.3%and 99.96%accuracy on the two datasets,respectively,and outperforms the benchmark model in several evaluation metrics.

关键词： Intrusion detection graph neural networks attention mechanisms line graphs dynamic graph neural networks

高浓度氯盐环境下钢筋混凝土裂缝扩展影响因素及规律研究

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建筑科学 2024年第7期40卷 49-56页

作者：唐先习杜腾飞郭俊瑶王文远吕闻起兰州理工大学土木工程学院甘肃兰州730050

为研究高浓度氯盐环境下钢筋混凝土保护层首次出现裂缝的时间和裂缝宽度扩展规律,采用直流电加速锈蚀法,研究不同电流密度、氯盐浓度、保护层厚度、钢筋直径以及水胶比等因素的影响,探究混凝土裂缝的扩展因素及裂缝扩展规律。结果表明:... 详细信息

为研究高浓度氯盐环境下钢筋混凝土保护层首次出现裂缝的时间和裂缝宽度扩展规律,采用直流电加速锈蚀法,研究不同电流密度、氯盐浓度、保护层厚度、钢筋直径以及水胶比等因素的影响,探究混凝土裂缝的扩展因素及裂缝扩展规律。结果表明:随电流密度、氯盐浓度、水胶比、钢筋直径增加,锈胀裂缝宽度扩展速度加快;随保护层厚度加厚,锈胀裂缝宽度扩展速度越慢。其中保护层厚度对混凝土裂缝首次开裂的影响最为显著,电流密度和钢筋直径影响次之,氯盐浓度和水胶比的影响相对较小。

关键词：钢筋混凝土混凝土耐久性锈胀裂缝电流密度氯盐浓度

雄激素与糖皮质激素在沉积物中的协同与竞争吸附研究

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环境科学与技术 2024年第9期47卷 82-90页

作者：郭钧尧刘雪茹占绮红邹晔锋邹华张云广西大学轻工与食品工程学院广西清洁化制浆造纸与污染控制重点实验室广西南宁530004 浙江大学环境科学系浙江杭州310058 江南大学环境与生态学院江苏无锡200433

雄激素与糖皮质激素在环境中广泛存在,对人体和生态健康造成风险,然而人们对它们在沉积物中的吸附行为仍知之甚少。该文研究2种雄激素和2种糖皮质激素在沉积物中单独和两两共存时的吸附规律。结果表明:4种激素的吸附更符合准二级动力学... 详细信息

雄激素与糖皮质激素在环境中广泛存在,对人体和生态健康造成风险,然而人们对它们在沉积物中的吸附行为仍知之甚少。该文研究2种雄激素和2种糖皮质激素在沉积物中单独和两两共存时的吸附规律。结果表明:4种激素的吸附更符合准二级动力学,初始浓度升高可使平衡吸附量增加、除DEX外吸附速率常数变小。吸附等温线更符合Langmuir模型,雄激素的吸附容量比糖皮质激素小,最小为雄烯二酮70.04 mg/kg,最大为可的松322.3 mg/kg。在双吸附质体系中,雄烯二酮分别与甲睾酮、地塞米松共存时表现为协同效应,地塞米松分别与可的松、甲睾酮共存时表现为竞争吸附。该研究有助于完善对类固醇激素环境行为的认知,为准确评估其生态风险提供理论依据。

关键词：内分泌干扰物沉积物协同吸附竞争吸附

Multiple Tin Compounds Modified Carbon Fibers to Construct Heterogeneous Interfaces for Corrosion Prevention and Electromagnetic Wave Absorption

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Nano-Micro Letters 2025年第1期17卷 507-527页

作者： Zhiqiang guo Di Lan Zirui Jia Zhenguo Gao Xuetao Shi Mukun He Hua guo Guanglei Wu Pengfei Yin College of Science Sichuan Agricultural UniversityYa’an 625014People’s Republic of China School of Materials Science and Engineering Hubei University of Automotive TechnologyShiyan 442002People’s Republic of China Institute of Materials for Energy and Environment State Key Laboratory of Bio‑Fibers and Eco‑TextilesCollege of Materials Science and EngineeringQingdao UniversityQingdao 266071People’s Republic of China Shaanxi Key Laboratory of Macromolecular Science and Technology School of Chemistry and Chemical EngineeringNorthwestern Polytechnical UniversityXi’anShaanxi 710072People’s Republic of China

Currently,the demand for electromagnetic wave(EMW)absorbing materials with specific functions and capable of withstanding harsh environments is becoming increasingly ***-component interface engineering is considered an effective means to achieve high-efficiency EMW ***,interface modulation engineering has not been fully discussed and has great potential in the field of EMW *** this study,multi-component tin compound fiber composites based on carbon fiber(CF)substrate were prepared by electrospinning,hydrothermal synthesis,and high-temperature thermal *** utilizing the different properties of different substances,rich heterogeneous interfaces are *** effectively promotes charge transfer and enhances interfacial polarization and conduction *** prepared SnS/SnS_(2)/SnO_(2)/CF composites with abundant heterogeneous interfaces have and exhibit excellent EMW absorption properties at a loading of 50 wt%in epoxy *** minimum reflection loss(RL)is−46.74 dB and the maximum effective absorption bandwidth is 5.28 ***,SnS/SnS_(2)/SnO_(2)/CF epoxy composite coatings exhibited long-term corrosion resistance on Q235 steel ***,this study provides an effective strategy for the design of high-efficiency EMW absorbing materials in complex and harsh environments.

关键词： Electrostatic spinning Component regulation Heterogeneous interfaces Electromagnetic wave absorption Corrosion protection

Asking one mechanism in glial cells during neuroinflammation

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Neural Regeneration Research 2025年第4期20卷 1077-1078页

作者： Xiaoli guo Chikako Harada Takayuki Harada Visual Research Project Tokyo Metropolitan Institute of Medical ScienceTokyoJapan

Multiple sclerosis(MS),which is characterized by inflammatory demyelination in the central nervous system(CNS),is the most common neurological disease in the young adult *** autoimmune encephalomyelitis(EAE),an animal model of MS,is often used in preclinical *** data indicate that in addition to immune cells such as T cells and dendritic cells,CNS resident microglia and astrocytes play important roles in demyelinating neuroinflammation(Healy et al.,2022).In particular,microglia are key immune-competent cells that can respond to environmental *** depletion of transforming growth factor-β-activated kinase 1,a mitogen-associated protein kinase kinase kinase,in microglia is reported to reduce CNS inflammation and diminish axonal and myelin damage *** suggests that elucidating the mechanisms of microglia-specific responses during pathologies may help in the development of treatments that reduce EAE/MS disease severity(Goldmann et al.,2013).

关键词： inflammation clinical