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液化夹层对浅基础结构隔震响应的影响

土木与环境工程学报（中英文） 2025年第1期47卷 46-53页

作者：胡记磊沈文翔杨兵三峡大学三峡库区地质灾害教育部重点实验室湖北宜昌443002 三峡大学土木与建筑学院湖北宜昌443002

砂土液化夹层既会造成地基失效破坏,又会对上部建筑起到减震作用,而覆盖层可以减小建筑沉降,却会放大地震作用,因此,有必要探讨结构与土相互作用下液化夹层和覆盖层对建筑的隔震耦合影响。基于Biot两相饱和多孔介质动力耦合理论,采用有... 详细信息

砂土液化夹层既会造成地基失效破坏,又会对上部建筑起到减震作用,而覆盖层可以减小建筑沉降,却会放大地震作用,因此,有必要探讨结构与土相互作用下液化夹层和覆盖层对建筑的隔震耦合影响。基于Biot两相饱和多孔介质动力耦合理论,采用有限元和有限差分耦合动力分析方法,分析不同地震强度、砂土密实度D_(r)和液化层厚深比K(考虑液化夹层和覆盖层耦合作用)对上部结构隔震的影响。结果表明:结构加速度反应谱比随震动强度增加先减小后趋于稳定,当震动强度超过某阈值时,液化层隔震效果不再增加;松砂(D_(r)=30%)的隔震效果优于中密砂(D_(r)=50%)和密砂(D_(r)=70%),但会产生不可忽略的沉降危害;密砂虽然能更好地抑制建筑沉降量,但在短周期内会起到加震作用;考虑覆盖层和液化层的耦合作用,发现K值在0.3~0.5区间内时,既能减小建筑沉降,又能起到减隔震作用。

关键词：液化夹层浅基础隔震基础沉降数值模拟

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miRNA-21-5p is an important contributor to the promotion of injured peripheral nerve regeneration using hypoxia-pretreated bone marrow-derived neural crest cells

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Neural Regeneration Research 2025年第1期20卷 277-290页

作者： Meng Cong Jing-Jing hu Yan Yu Xiao-Li Li Xiao-Ting Sun Li-Ting Wang Xia Wu Ling-Jie Zhu Xiao-Jia Yang Qian-Ru He Fei Ding Hai-Yan Shi School of Medicine Nantong UniversityNantongJiangsu ProvinceChina Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education and Coinnovation Center of Neuroregeneration Nantong UniversityNantongJiangsu ProvinceChina Department of Physiology Jiangsu Health Vocational CollegeNanjingJiangsu ProvinceChina Department of Pathology Affiliated Hospital of Nantong UniversityNantongJiangsu ProvinceChina Jiangsu Clinical Medicine Center of Tissue Engineering and Nerve Injury Repair Affiliated Hospital of Nantong UniversityNantongJiangsu ProvinceChina

Our previous study found that rat bone marrow–derived neural crest cells(acting as Schwann cell progenitors)have the potential to promote long-distance nerve ***-based therapy can enhance peripheral nerve repair and regeneration through paracrine bioactive factors and intercellular ***,the complex contributions of various types of soluble cytokines and extracellular vesicle cargos to the secretome remain *** investigate the role of the secretome and extracellular vesicles in repairing damaged peripheral nerves,we collected conditioned culture medium from hypoxia-pretreated neural crest cells,and found that it significantly promoted the repair of sensory neurons damaged by oxygen-glucose *** mRNA expression of trophic factors was highly expressed in hypoxia-pretreated neural crest *** performed RNA sequencing and bioinformatics analysis and found that miR-21-5p was enriched in hypoxia-pretreated extracellular vesicles of neural crest ***,to further clarify the role of hypoxia-pretreated neural crest cell extracellular vesicles rich in miR-21-5p in axonal growth and regeneration of sensory neurons,we used a microfluidic axonal dissociation model of sensory neurons in vitro,and found that hypoxia-pretreated neural crest cell extracellular vesicles promoted axonal growth and regeneration of sensory neurons,which was greatly dependent on loaded ***,we constructed a miR-21-5p-loaded neural conduit to repair the sciatic nerve defect in rats and found that the motor and sensory functions of injured rat hind limb,as well as muscle tissue morphology of the hind limbs,were obviously *** findings suggest that hypoxia-pretreated neural crest extracellular vesicles are natural nanoparticles rich in ***-21-5p is one of the main contributors to promoting nerve regeneration by the neural crest cell *** helps to explain the mechanism of action of the secretome and e

关键词： axotomy cell-free therapy conditioned medium extracellular vesicles hypoxic preconditioning microRNA oxygen-glucose deprivation peripheral nerve injury Schwann cell precursors

指向高质量课堂的听评课量表设计及其关键问题

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教学与管理 2025年第1期 24-28页

作者：户艳茹方妍清华大学教育研究院北京100084 清华大学附属中学北京100084

在建设高质量课堂的时代背景下,重新设计课堂听评课框架与维度,有助于倒逼教师专业成长,反促课堂提质增效。在深刻反思现有听评课量表存在不足、尤其是缺乏科学量化标准的前提下,重新设计的旨在提升课堂质量的听评课量表主要包括2个观... 详细信息

在建设高质量课堂的时代背景下,重新设计课堂听评课框架与维度,有助于倒逼教师专业成长,反促课堂提质增效。在深刻反思现有听评课量表存在不足、尤其是缺乏科学量化标准的前提下,重新设计的旨在提升课堂质量的听评课量表主要包括2个观察维度、6个观察要素、13个观察指标和26个观察点。在教学实践中应用这一听评课量表,需要注意凸显学生的主体性、全面性与个性化,构建民主平等的课堂生命共同体,展现时代风格与学校特色,形成良性教研文化和沟通合作机制。

关键词：高质量课堂听评课量表教研制度

OPTIMAL TARGET TRAJECTORY ESTIMATION AND FILTERING USING NETWORKED SENSORS

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Journal of Systems Science & Complexity 2008年第3期21卷 325-336页

作者： Jiangping hu Xiaoming hu Optimization and Systems Theory and ACCESS Linnaeus Center Royal Institute of Technology Stockholm 10044 Sweden

Target tracking using distributed sensor network is in general a challenging problem because it always needs to deal with real-time processing of noisy information. In this paper the problem of using nonlinear sensors such as distance and direction sensors for estimating a moving target is studied. The problem is formulated as a prudent design of nonlinear filters for a linear system subject to noisy nonlinear measurements and partially unknown input, which is generated by an exogenous system. In the worst case where the input is completely unknown, the exogenous dynamics is reduced to the random walk model. It can be shown that the nonlinear filter will have optimal convergence if the number of the sensors are large enough and the convergence rate will be highly improved if the sensors are deployed appropriately. This actually raises an interesting issue on active sensing： how to optimally move the sensors if they are considered as mobile multi-agent systems？ Finally, a simulation example is given to illustrate and validate the construction of our filter.

关键词： Optimal filter sensor network target tracking

农业强国与金融强国建设中的农村金融高质量发展——第十八届中国农村金融发展论坛综述

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西北农林科技大学学报（社会科学版） 2025年第1期25卷 151-160页

作者：胡杰庄腾跃罗剑朝西北农林科技大学经济管理学院陕西省农村金融研究中心陕西杨凌712100

在农业强国和金融强国建设背景下探讨农村金融高质量发展问题,对促进农业农村现代化,完善农村金融体系,助力乡村全面振兴,推动城乡融合发展具有深远意义。2024年8月9-11日,第十八届中国农村金融发展论坛在西北农林科技大学隆重召开,来... 详细信息

在农业强国和金融强国建设背景下探讨农村金融高质量发展问题,对促进农业农村现代化,完善农村金融体系,助力乡村全面振兴,推动城乡融合发展具有深远意义。2024年8月9-11日,第十八届中国农村金融发展论坛在西北农林科技大学隆重召开,来自国内200余名师生代表汇聚于此,围绕农业强国与金融强国的内涵、特征和建设经验,农业强国与金融强国背景下农村金融高质量发展的现实挑战、战略路径以及重点领域和关键环节等方面展开深入讨论。本届论坛的一致共识是:农村金融高质量发展是农业强国和金融强国建设的内在要求,农业强国和金融强国建设是农村金融高质量发展的双轮驱动力,二者具有高度协同性;面对多重现实挑战,需要不断强化基础设施,创新金融产品和服务,推动科技赋能和数字化转型,同时要加强风险管理,创新保险产品,完善政策与监管环境,扩大普惠金融与试验示范区范围。此外,需在数字金融、农业保险、农村金融机构改革创新以及农业农村现代化等核心领域持续发力,以实现农村金融的全面繁荣与可持续发展。

关键词：农业强国金融强国农村金融高质量发展

Coexistence of multiuser entanglement distribution and classical light in optical fiber network with a semiconductor chip

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Chip 2024年第2期3卷 1-10页

作者： Xu Jing Cheng Qian Xiaodong Zheng hu Nian Chenquan Wang Jie Tang Xiaowen Gu Yuechan Kong Tangsheng Chen yichen Liu Chong Sheng Dong Jiang Bin Niu Liangliang Lu National Key Laboratory of Solid-State Microwave Devices and Circuits Nanjing Electronic Devices InstituteNanjing 210016China Key Laboratory of Optoelectronic Technology of Jiangsu Province School of Physical Science and TechnologyNanjing Normal UniversityNanjing 210023China National Laboratory of Solid-State Microstructures Nanjing UniversityNanjing 210093China Research Center for Quantum Optics and Quantum Communication School of ScienceQingdao University of TechnologyQingdao 266520China School of Internet Anhui UniversityHefei 230039China Hefei National Laboratory Hefei 230088China

Building communication links among multiple users in a scalable and robust way is a key objective in achieving large-scale quantum *** a realistic scenario,noise from the coexisting classical light is inevitable and can ultimately disrupt the *** previous significant fully connected multiuser entanglement distribution experiments are conducted using dark fiber links,and there is no explicit relation between the entanglement degradations induced by classical noise and its error ***,a semiconductor chip with a high figure-of-merit modal overlap is fabricated to directly generate broadband polarization *** monolithic source maintains the polarization entanglement fidelity of above 96%for 42 nm bandwidth,with a brightness of 1.2×10^(7)Hz mW^(−1).A continuously working quantum entanglement distribution are performed among three users coexisting with classical *** finite-key analysis,secure keys are established and images encryption are enabled as well as quantum secret sharing between *** work paves the way for practical multiparty quantum communication with integrated photonic architecture compatible with real-world fiber optical communication network.

关键词： Quantum key distribution Semiconductor chip Raman noise Image encryption

FDNet: Fourier transform guided dual-channel underwater image enhancement diffusion network

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Science China Technological Sciences 2025年第1期 62-78页

作者： Zhen Zhu Xiaobo LI Qianwen MA Jingsheng ZHAI Haofeng hu School of Marine Science and Technology Tianjin University College of Mechanical Engineering and Automation Fuzhou University

Due to the scattering and absorption of light, underwater imaging yields suboptimal results characterized by low brightness, diminished image contrast, and the loss of details. Current learning-based underwater image enhancement(UIE)methods mainly focus on addressing these issues in the spatial domain, with limited attention to the Fourier frequency *** propose the Fourier transform guided dual-channel underwater image enhancement diffusion network(FDNet), aiming to fully leverage frequency domain information and the characteristics of a diffusion-based generation model. The amplitude-phase dualchannel not only effectively provides feedback on the energy distribution of the image but also incorporates crucial image structure and texture information. Capitalizing on these advantages, we first introduce a Fourier transform-based amplitude-phase dualchannel enhancement front-end network for UIE. This network significantly improves the quality of the network's image input,including brightness and contrast, by incorporating phase congruency edge enhancement and prior-driven amplitude mapping strategies. The preceding network mitigates the overall training challenges caused by poor input image quality. Simultaneously,the application of denoising networks based on lightweight transformers effectively improves the computational time required for each iteration during model training. The results indicate that FDNet outperforms many current learning-based UIE algorithms in restoring images across multiple real underwater image datasets, demonstrating more robust generalization capabilities in degraded underwater scenarios. The competitive performance advantage achieved in enhancing visual quality underscores the effectiveness of our method.

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In-situ artificial retina with all-in-one reconfigurable photomemristor networks

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npj Flexible Electronics 2023年第1期7卷 265-273页

作者： yichen Cai Yizhou Jiang Chenxu Sheng Zhiyong Wu Luqiu Chen Bobo Tian Chungang Duan Shisheng Xiong Yiqiang Zhan Chunxiao Cong Zhi-Jun Qiu Yajie Qin Ran Liu Laigui hu School of Information Science and Technology Fudan UniversityShanghai 200433China Key Laboratory of Polar Materials and Devices(MOE) Department of ElectronicsEast China Normal UniversityShanghai 200241China Yiwu Research Institute of Fudan University Yiwu CityZhejiang 322000China

Despite that in-sensor processing has been proposed to remove the latency and energy consumption during the inevitable data transfer between spatial-separated sensors,memories and processors in traditional computer vision,its hardware implementation for artificial neural networks(ANNs)with all-in-one device arrays remains a challenge,especially for organic-based *** the advantages of biocompatibility,low cost,easy fabrication and flexibility,here we implement a self-powered in-sensor ANN using molecular ferroelectric(MF)-based photomemristor *** ferroelectric depolarization was intentionally introduced into the ANN,which enables reconfigurable conductance and *** photoresponsivity as synaptic weight,the MFbased in-sensor ANN can operate analog convolutional computation,and successfully conduct perception and recognition of white-light letter images in experiments,with low processing energy *** Chinese digits are also recognized and regressed by a large-scale array,demonstrating its scalability and potential for low-power processing and the applications in MF-based in-situ artificial retina.

关键词： artificial networks ferroelectric

K-Corruption Intermittent Attacks for Violating the Codiagnosability

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 159-172页

作者： Ruotian Liu Yihui hu Agostino Marcello Mangini Maria Pia Fanti IEEE the Department of Electrical and Information Engineering Polytechnic University of Bari the School of Automation Xi'an University of Posts and Telecommunications

In this work, we address the codiagnosability analysis problem of a networked discrete event system under malicious attacks. The considered system is modeled by a labeled Petri net and is monitored by a series of sites, in which each site possesses its own set of sensors, without requiring communication among sites or to any coordinators. A net is said to be codiagnosable with respect to a fault if at least one site could deduce the occurrence of this fault within finite steps. In this context, we focus on a type of malicious attack that is called stealthy intermittent replacement attack. The stealthiness demands that the corrupted observations should be consistent with the system's normal behavior, while the intermittent replacement setting entails that the replaced transition labels must be recovered within a bounded of consecutive corrupted observations(called as K-corruption intermittent attack). Particularly, there exists a coordination between attackers that are separately effected on different sites, which holds the same corrupted observation for each common transition under attacks. From an attacker viewpoint, this work aims to design Kcorruption intermittent attacks for violating the codiagnosability of systems. For this purpose, we propose an attack automaton to analyze K-corruption intermittent attack for each site, and build a new structure called complete attack graph that is used to analyze all the potential attacked paths. Finally, an algorithm is inferred to obtain the K-corruption intermittent attacks, and examples are given to show the proposed attack strategy.

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