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Ultra‑High Sensitivity Anisotropic Piezoelectric Sensors for Structural Health Monitoring and Robotic Perception

Nano-Micro Letters 2025年第2期17卷 432-446页

作者： hao Yin Yanting Li Zhiying Tian Qichao Li Chenhui Jiang Enfu Liang Yiping Guo State Key Laboratory of Metal Matrix Composites School of Materials Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China Beijing Vacuum Electronics Research Institute Beijing 100015People’s Republic of China Fundamental Science On Vibration Shock and Noise LaboratoryState Key Laboratory of Mechanical System and VibrationSchool of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China

Monitoring minuscule mechanical signals,both in magnitude and direction,is imperative in many application scenarios,e.g.,structural health monitoring and robotic sensing ***,the piezoelectric sensor struggles to satisfy the requirements for directional recognition due to the limited piezoelectric coefficient matrix,and achieving sensitivity for detecting micrometer-scale deformations is also ***,we develop a vector sensor composed of lead zirconate titanate-electronic grade glass fiber composite filaments with oriented arrangement,capable of detecting minute anisotropic *** as-prepared vector sensor can identify the deformation directions even when subjected to an unprecedented nominal strain of 0.06%,thereby enabling its utility in accurately discerning the 5μm-height wrinkles in thin films and in monitoring human pulse *** ultra-high sensitivity is attributed to the formation of porous ferroelectret and the efficient load transfer efficiency of continuous lead zirconate titanate ***,when integrated with machine learning techniques,the sensor’s capability to recognize multi-signals enables it to differentiate between 10 types of fine textures with 100%*** structural design in piezoelectric devices enables a more comprehensive perception of mechanical stimuli,offering a novel perspective for enhancing recognition accuracy.

关键词： Flexible piezoelectric filaments Anisotropic Ultra-high sensitivity Structural health detection Texture recognition

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多孔有机聚合物材料的合成与荧光传感应用

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有机化学 2018年第10期38卷 2606-2624页

作者：庞楚明罗时荷郝志峰高健黄召昊余家海余思敏汪朝阳华南师范大学化学与环境学院教育部环境理论化学重点实验室广州510006 广东工业大学轻工化工学院广州510006

多孔有机聚合物荧光材料既具有孔隙度高的特点,也具有突出的荧光性能.当其骨架上存在与特定分析物(如硝基芳香爆炸物、金属离子、阴离子等)的结合位点时,便赋予其荧光传感的功能.按照不同多孔有机聚合物(POPs)材料的类型,即无定型的多... 详细信息

多孔有机聚合物荧光材料既具有孔隙度高的特点,也具有突出的荧光性能.当其骨架上存在与特定分析物(如硝基芳香爆炸物、金属离子、阴离子等)的结合位点时,便赋予其荧光传感的功能.按照不同多孔有机聚合物(POPs)材料的类型,即无定型的多孔有机聚合物材料、晶型含配位键的多孔金属有机框架(MOFs)材料、晶型共价有机框架(COFs)材料,综述了近年来多孔有机聚合物荧光材料的研究新进展,特别是它们基于有机功能分子的设计与合成,及其荧光传感应用.继续从分子层面设计新型的荧光COFs材料是未来可循环使用的高效荧光化学传感器的发展方向,值得关注.

关键词：多孔有机聚合物材料设计与合成荧光传感应用硝基芳香爆炸物检测晶型共价有机框架材料

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基于VPN的企业内联网

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计算机工程与应用 2001年第23期37卷 33-34页

作者：许勇张凌郝志锋陈育青华南理工大学信息网络工程研究中心应用数学系广州510640

随着网络技术的快速发展和企业国际化发展的趋势,在企业各部门或远程分部之间安全、有效和经济地传输、交换商业文件和重要数据,已越来越受到大型企业的重视。文章介绍了实现VPN的几种模式,并讨论了不同模式下的系统结构、主要组件以及... 详细信息

随着网络技术的快速发展和企业国际化发展的趋势,在企业各部门或远程分部之间安全、有效和经济地传输、交换商业文件和重要数据,已越来越受到大型企业的重视。文章介绍了实现VPN的几种模式,并讨论了不同模式下的系统结构、主要组件以及各自的特性和功能。

关键词： VPN 企业网 Internet 防火墙网关

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Constructing 2D bismuth-based heterostructure for highly efficient photocatalytic CO2 reduction

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Tungsten 2025年第1期7卷 71-79页

作者： Ruo-Hang Xu hao-Yu Jiang Dan-Dan Cui Kun-Rong Du Hong-Run Zhang Sheng-Jie Xu Ya-Qi Li Zhi-Zhen Ren Liang Wang Wei-Chang hao Yi Du School of Physics and BUAA-UOW Joint Research Centre Beihang University Shenzhen Institute of Beihang University Centre for Catalysis and Clean Energy School of Environment and Science Griffith University

Reforming carbon dioxide（CO2） into fuels and valuable chemicals using solar energy holds significant potential for emission reduction and addressing energy supply *** recombination of photocarriers remains a major obstacle,however,to enhancing solar energy conversion efficiency in the photocatalytic reaction *** two-dimensional materials,constructing heterogeneous structures has emerged as an effective strategy to enhance the separation of photoexcited carriers by leveraging the internal electric field at the heterogeneous ***,we present a facile strategy for preparing Bi4NbO8Br/Bi2WO6plate-on-plate Z-scheme junctions with a strong internal electric field by in situ *** unique heterostructure facilitates efficient separation and transport of photoexcited charges by harnessing the internal electric field induced by chemical bonding at the lateral ***,the Bi4NbO8Br/Bi2WO6heterostructure exhibits enhanced CO2photoreduction properties,along with a CO yield rate of approximately 35 μmol·g-1·h-1under full light *** work offers novel insights into the synthesis of unique hetero structures intended to enhance the efficiency of photocatalytic CO2reduction.

关键词： Bi4NbO8Br/Bi2WO6 CO2 reduction Heterostructures Photocatalysts

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基于加权频繁子树相似度的网页评论信息抽取

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计算机应用研究 2017年第6期34卷 1636-1639,1658页

作者：郝志峰袁琴蔡瑞初温雯骆魁永广东工业大学计算机学院广州510006 佛山科学技术学院广东佛山528000

针对现有网页信息抽取方法普遍存在人工耗时大、抽取准确率低等问题,提出了一种基于加权频繁子树相似度的网页评论信息抽取方法 WTS。首先通过视觉特征对网页进行剪枝处理;然后,通过深度加权的相似度度量方法抽取最佳频繁子树;最后,通... 详细信息

针对现有网页信息抽取方法普遍存在人工耗时大、抽取准确率低等问题,提出了一种基于加权频繁子树相似度的网页评论信息抽取方法 WTS。首先通过视觉特征对网页进行剪枝处理;然后,通过深度加权的相似度度量方法抽取最佳频繁子树;最后,通过子树对齐方法抽取评论路径并解析评论内容。通过对京东、苏宁等网站的评论内容抽取实验,验证了WTS方法比D-EEM、POL等方法在抽取产品评论信息上具有一定的优势。

关键词：产品评论抽取加权频繁子树

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Research progress of catalysts for direct coal liquefaction

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Journal of Energy Chemistry 2025年第1期100卷 481-497页

作者： Wei Song Penggao Liu Xinyue Chen Ting Wang Chunrong He Rui hao Kaiyu Liu State Key Laboratory of Chemistry and Utilization of Carbon Based Energy Resources College of Chemistry Xinjiang University College of Chemistry and Chemical Engineering Henan Polytechnic University Hunan Provincial Key Laboratory of Chemical Power Sources College of Chemistry and Chemical Engineering Central South University

Coal direct liquefaction technology is a crucial contemporary coal chemical technology for efficient and clean use of coal resources. The development of direct coal liquefaction technology and the promotion of alternative energy sources are important measures to guarantee energy security and economic security. However, several challenges need to be addressed, including low conversion rate, inadequate oil yield, significant coking, demanding reaction conditions, and high energy consumption. Extensive research has been conducted on these issues, but further exploration is required in certain aspects such as pyrolysis of macromolecules during the liquefaction process, hydrogen activation, catalysts' performance and stability, solvent hydrogenation, as well as interactions between free radicals to understand their mechanisms better. This paper presents a comprehensive analysis of the design strategy for efficient catalysts in coal liquefaction, encompassing the mechanism of coal liquefaction, catalyst construction,and enhancement of catalytic conversion efficiency. It serves as a comprehensive guide for further research endeavors. Firstly, it systematically summarizes the conversion mechanism of direct coal liquefaction, provides detailed descriptions of various catalyst design strategies, and especially outlines the catalytic mechanism. Furthermore, it addresses the challenges and prospects associated with constructing efficient catalysts for direct coal liquefaction based on an understanding of their action mechanisms.

关键词： Direct coal liquefaction Catalysts Mechanism of action Solvent hydrogenation

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AZD1775 synergizes with SLC7A11 inhibition to promote ferroptosis

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Science China Life Sciences 2025年第1期68卷 204-218页

作者： Chen Xiong Hong Ling Yingdan Huang Hanzhi Dong Bangxiang Xie Qian hao Xiang Zhou Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences Fudan University Department of Oncology Shanghai Medical CollegeFudan University Department of Breast Surgery Fudan University Shanghai Cancer CenterFudan University Department of Oncology First Affiliated Hospital of Nanchang University Beijing Institute of Hepatology Beijing Youan HospitalCapital Medical University Beijing Engineering Research Center for Precision Medicine and Transformation of Hepatitis and Liver Cancer Key Laboratory of Breast Cancer in Shanghai Fudan University Shanghai Cancer CenterFudan University Shanghai Key Laboratory of Medical Epigenetics International Co-laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology)Institutes of Biomedical SciencesFudan University

Tumor suppressor p53-mediated cell cycle arrest and DNA damage repair may exert cytoprotective effects against cancer therapies, including WEE1 inhibition. Considering that p53 activation can also lead to multiple types of cell death, the role of this tumor suppressor in WEE1 inhibitor-based therapies remains disputed. In this study, we reported that nucleolar stress-mediated p53 activation enhanced the WEE1 inhibitor AZD1775-induced ferroptosis to suppress lung cancer growth. Our findings showed that AZD1775 promoted ferroptosis by blocking cystine uptake, an action similar to that of Erastin. Meanwhile, inhibition of WEE1 by the WEE1 inhibitors or si RNAs induced compensatory upregulation of SLC7A11, which conferred resistance to ferroptosis. Mechanistically, AZD1775 prevented the enrichment of H3K9me3, a histone marker of transcriptional repression, on the SLC7A11 promoter by repressing the expression of the histone methyltransferase SETDB1, thereby enhancing NRF2-mediated SLC7A11 transcription. This finding was also validated using the H3K9me3 inhibitor BRD4770. Remarkably, we found that the nucleolar stress-inducing agent Actinomycin D(Act. D) inhibited SLC7A11 expression by activating p53, thus augmenting AZD1775-induced ferroptosis. Moreover, the combination of AZD1775 and Act. D synergistically suppressed wild-type p53-harboring lung cancer cell growth both in vitro and in vivo. Altogether, our study demonstrates that AZD1775 promotes ferroptosis by targeting cystine uptake but also mediates the adaptive activation of SLC7A11 through the WEE1-SETDB1 cascade and NRF2-induced transcription, and inhibition of SLC7A11 by Act. D boosts the anti-tumor efficacy of AZD1775 by enhancing ferroptosis in cancers with wild-type p53.

关键词： p53 NRF2 SLC7A11 WEE1 AZD1775 ferroptosis nucleolar stress

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All-optical neuromorphic devices: materials, working mechanism,and applications

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Science China Chemistry 2025年

作者： Song Wang hao Chen Hui Huang College of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation CAS Key Laboratory of Vacuum Physics University of Chinese Academy of Sciences College of Chemistry and Molecular Engineering Peking University

Traditional von Neumann computing, with physical separation of memory and processing units, cannot satisfy the development of artificial intelligence and cloud computing. Neuromorphic computing, inspired by the human brain, has drawn much ***-optical neuromorphic (AON) devices employ optical signals as information carriers and leverage the neuromorphic functions to implement fast operation speed, low energy consumption, and high bandwidth of neuromorphic computing. Here, we discuss the recent progress in AON devices, including materials, device performance, working mechanisms, and applications. Moreover,the advantages and limitations of AON are presented and discussed. Finally, the perspective of AON devices points out the future research direction of neuromorphic computing.

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基于多组典型相关变量的因果关系发现算法

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计算机应用研究 2021年第1期38卷 53-56页

作者：陈薇蔡瑞初伍运金谢峰郝志峰广东工业大学计算机学院广州510006 佛山科学技术学院数学与大数据学院广东佛山528225

现有的因果关系发现算法主要基于单个观察变量本身之间的因果关系,无法适用于多组观察变量,为此提出了一种多组典型相关变量的因果关系发现算法。首先,引入多组典型相关变量建立多组典型相关变量的线性非高斯无环模型并提出对应的目标函... 详细信息

现有的因果关系发现算法主要基于单个观察变量本身之间的因果关系,无法适用于多组观察变量,为此提出了一种多组典型相关变量的因果关系发现算法。首先,引入多组典型相关变量建立多组典型相关变量的线性非高斯无环模型并提出对应的目标函数;然后,采用梯度上升的方法求解目标函数,构建多组典型相关变量的因果关系网络。模拟实验验证了该算法的有效性,并在移动基站数据上发现了一批有价值的多组无线网络性能指标间的因果关系。

关键词：多组典型相关变量线性非高斯无环模型因果关系发现因果关系网络

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When AI meets sustainable 6G

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Science China(Information Sciences) 2025年第1期68卷 4-22页

作者： Xiaohu YOU Yongming HUANG Cheng ZHANG Jiaheng WANG hao YIN Hequan WU National Mobile Communications Research Laboratory Southeast University Purple Mountain Laboratories Chinese Academy of Military Science China Information Communication Technologies Group

Sixth-generation(6G) networks are anticipated to achieve transformative advancements, characterized by extreme connectivity, deep integration with artificial intelligence(AI) and sensing, and airground integration. The evolution of 6G exhibits two major trends: ubiquitous intelligence and sustainability. The former aims to embed state-of-the-art AI technology into the 6G network, from the physical layers to applications, while the latter emphasizes reducing energy consumption while enhancing network performance to address environmental concerns. Despite the amazing progress in recent years, AI advancements come with substantial increases in data and computational overhead, posing critical challenges for integrating AI into sustainable 6G networks. First, high energy consumption from large datasets and heavyweight AI models contradicts6G's green goals. Second, the precise collection of large datasets, message delivery latency, and inference delays in AI models pose challenges for real-time tasks in 6G. Third, the uninterpretability and unpredictability of AI models complicate meeting the stringent requirements for controllable transmission in dynamic wireless environments. Addressing these challenges and achieving sustainable 6G with ubiquitous intelligence calls for a revolutionary design of 6G architecture and AI frameworks. To this end, this paper introduces a novel and practical methodology for green, real-time, and controllable 6G native intelligence,starting with knowledge graph(KG) analysis to extract small but critical datasets, followed by the development of distributed lightweight AI models, and the use of digital twins(DTs) to create precise replicas of physical 6G networks. This leads to a pervasive multi-level(PML)-AI framework supported by a task-centric, three-layer 6G architecture. The AI framework operates through non-real-time and real-time cycles, leveraging three key technologies: wireless data KGs for efficient data management,lightweight AI mode

关键词： artificial intelligence sustainable 6G green real-time controllable

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