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UAV-assisted cooperative offloading energy efficiency system for mobile edge computing

Digital Communications and Networks 2024年第1期10卷 16-24页

作者： Xue-Yong Yu Wen-Jin Niu ye zhu Hong-Bo zhu Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Telecommunications Nanjing210003China Engineering Research Centerof Health Service System Based on Ubiquitous Wireless Networks Ministry of EducationNanjng Universityof Posts and Telecommunications Nanjing210003China

Reliable communication and intensive computing power cannot be provided effectively by temporary hot spots in disaster areas and complex terrain ground *** this has greatly developed the application and integration of UAV and Mobile Edge Computing(MEC)to the Internet of Things(loT).However,problems such as multi-user and huge data flow in large areas,which contradict the reality that a single UAV is constrained by limited computing power,still *** to allowing UAV collaboration to accomplish complex tasks,cooperative task offloading between multiple UAVs must meet the interdependence of tasks and realize parallel processing,which reduces the computing power consumption and endurance pressure of *** the computing requirements of the user terminal,delay constraint of a computing task,energy constraint,and safe distance of UAV,we constructed a UAV-Assisted cooperative offloading energy efficiency system for mobile edge computing to minimize user terminal energy ***,the resulting optimization problem is originally nonconvex and thus,difficult to solve *** tackle this problem,we developed an energy efficiency optimization algorithm using Block Coordinate Descent(BCD)that decomposes the problem into three convex ***,we jointly optimized the number of local computing tasks,number of computing offloaded tasks,trajectories of UAV,and offloading matching relationship between multi-UAVs and multiuser *** results show that the proposed approach is suitable for different channel conditions and significantly saves the user terminal energy consumption compared with other benchmark schemes.

关键词： Computation offloading Internet of things(IoT) Mobile edge computing(MEC) Block coordinate descent(BCD)

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Polyethylene interfacial dielectric layer for organic semiconductor single crystal based field-effect transistors

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Chinese Chemical Letters 2024年第4期35卷 431-435页

作者： Min Chen Boyu Peng Xuyun Guo ye zhu Hanying Li Department of Polymer Science and Engineering MOE Key Laboratory of Macromolecular Synthesis and FunctionalizationInternational Research Center for X PolymersShanxi-Zheda Institute of Advanced Materials and Chemical EngineeringZhejiang UniversityHangzhou 310027China Department of Applied Physics Research Institute for Smart EnergyThe Hong Kong Polytechnic UniversityHong Kong 999077China

Organic semiconductor single crystals(OSSCs) have shown their promising potential in high-performance organic field-effect transistors(OFETs). The interfacial dielectric layers are critical in these OFETs as they not only govern the key semiconductor/dielectric interface quality but also determine the growth of OSSCs by their wetting properties. However, reported interfacial dielectric layers either need rigorous preparation processes, rely on certain surface chemistry reactions, or exhibit poor solvent resistance, which limits their applications in low-cost, large-area, monolithic fabrication of OSSC-based OFETs. In this work, polyethylene(PE) thin films and lamellar single crystals are utilized as the interfacial dielectric layers, providing solvent resistive but wettable surfaces that facilitate the crystallization of 6,13-bis(tri-isopropylsilylethynyl)pentacene(TIPS-PEN) and 6,13-bis(triisopropylsilylethynyl)-5,7,12,14-tetraazapentacene(TIPS-TAP). As evidenced by the presence of ambipolar behavior in TIPS-PEN single crystals and the high electron mobility(2.3 ± 0.34 cm^(2)V^(-1)s^(-1)) in TIPS-TAP single crystals, a general improvement on electron transport with PE interfacial dielectric layers is revealed, which likely associates with the chemically inertness of the saturated C-H bonds. With the advantages in both processing and device operation, the PE interfacial dielectric layer potentially offers a monolithic way for the enhancement of electron transport in solution-processed OSSC-based OFETs.

关键词： Polyethylene Interfacial dielectric layer Organic semiconductor Single crystal Organic field-effect transistors

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Automation and Orchestration of Zero Trust Architecture:Potential Solutions and Challenges

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Machine Intelligence Research 2024年第2期21卷 294-317页

作者： Yang Cao Shiva Raj Pokhrel ye zhu Robin Doss Gang Li Centre for Cyber Resilience and Trust Deakin UniversityBurwood 3125Australia School of Information Technology Deakin UniversityGeelong 3216Australia

Zero trust architecture(ZTA)is a paradigm shift in how we protect data,stay connected and access *** is non-perimeter-based defence,which has been emerging as a promising revolution in the cyber security *** can be used to continuously maintain security by safeguarding against attacks both from inside and outside of the network ***,ZTA automation and orchestration,towards seamless deployment on real-world networks,has been limited to be reviewed in the existing *** this paper,we first identify the bottlenecks,discuss the background of ZTA and compare it with traditional perimeter-based security *** importantly,we provide an in-depth analysis of state-of-the-art AI techniques that have the potential in the automation and orchestration of ***,in this review paper,we develop a foundational view on the challenges and potential enablers for the automation and orchestration of ZTA.

关键词： Zero trust architecture cyber security artificial intelligence access control authentication

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Taiji-TianQin-LISA network:Precisely measuring the Hubble constant using both bright and dark sirens

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Science China(Physics,Mechanics & Astronomy) 2024年第2期67卷 59-77页

作者： Shang-Jie Jin ye-zhu Zhang Ji-Yu Song Jing-Fei Zhang Xin Zhang Key Laboratory of Cosmology and Astrophysics(Liaoning)&College of Sciences Northeastern UniversityShenyang 110819China Key Laboratory of Data Analytics and Optimization for Smart Industry(Ministry of Education) Northeastern UniversityShenyang 110819China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern UniversityShenyang 110819China

In the coming decades,the space-based gravitational-wave(GW)detectors such as Taiji,TianQin,and LISA are expected to form a network capable of detecting millihertz GWs emitted by the mergers of massive black hole binaries(MBHBs).In this work,we investigate the potential of GW standard sirens from the Taiji-TianQin-LISA network in constraining cosmological *** the optimistic scenario in which electromagnetic(EM)counterparts can be detected,we predict the number of detectable bright sirens based on three different MBHB population models,i.e.,popⅢ,Q3d,and *** results show that the TaijiTianQin-LISA network alone could achieve a constraint precision of 0.9%for the Hubble constant,meeting the standard of precision ***,the Taiji-TianQin-LISA network could effectively break the cosmological parameter degeneracies generated by the CMB data,particularly in the dynamical dark energy *** combined with the CMB data,the joint CMB+Taiji-TianQin-LISA data offerσ(w)=0.036 in the wCDM model,which is close to the latest constraint result obtained from the CMB+SN *** also consider a conservative scenario in which EM counterparts are not *** to the precise sky localizations of MBHBs by the Taiji-TianQin-LISA network,the constraint precision of the Hubble constant is expected to reach 1.2%.In conclusion,the GW standard sirens from the Taiji-TianQin-LISA network will play a critical role in helping solve the Hubble tension and shedding light on the nature of dark energy.

关键词： space-based gravitational wave detection standard sirens the Taiji-TianQin-LISA network the Hubble constant dark energy

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A 3D-printed microhemispherical shell resonator with electrostatic tuning for a Coriolis vibratory gyroscope

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Microsystems & Nanoengineering 2024年第2期10卷 25-35页

作者： Baoyin Hou ye zhu Chaofan He Weidong Wang Zhi Ding Wen He Yong He Lufeng Che College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou310027China Center for Microelectronics Shaoxing InstituteZhejiang UniversityShaoxing312035China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou310058China School of Mechanical Engineering Zhejiang UniversityHangzhou310058China

The emergence of microhemispherical resonant gyroscopes,which integrate the advantages of exceptional stability and long lifetime with miniaturization,has afforded new possibilities for the development of whole-angle ***,existing methods used for manufacturing microhemispherical resonant gyroscopes based on MEMS technology face the primary drawback of intricate and costly ***,we report the design,fabrication,and characterization of the first 3D-printable microhemispherical shell resonator for a Coriolis vibrating *** remarkably achieve fabrication in just two steps bypassing the dozen or so steps required in traditional *** utilizing the intricate shaping capability and ultrahigh precision offered by projection microstereolithography,we fabricate 3D high-aspect-ratio resonant structures and controllable capacitive air gaps,both of which are extremely difficult to obtain via MEMS *** addition,the resonance frequency of the fabricated resonators can be tuned by electrostatic forces,and the fabricated resonators exhibit a higher quality factor in air than do typical MEMS microhemispherical *** work demonstrates the feasibility of rapidly batch-manufacturing microhemispherical shell resonators,paving the way for the development of microhemispherical resonator gyroscopes for portable inertial ***,this particular design concept could be further applied to increase uptake of resonator tools in the MEMS community.

关键词： resonator tuning electrostatic

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Ripple Knowledge Graph Convolutional Networks for Recommendation Systems

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Machine Intelligence Research 2024年第3期21卷 481-494页

作者： Chen Li Yang Cao ye zhu Debo Cheng Chengyuan Li Yasuhiko Morimoto Graduate School of Informatics Nagoya UniversityChikusaNagoya 464-8602Japan Centre for Cyber Resilience and Trust Deakin UniversityBurwood 3125Australia Science TechnologyEngineering and Mathematics(STEM)University of South AustraliaAdelaide 5000Australia Graduate School of Engineering Hiroshima UniversityHigashi-hiroshima 10587Japan

Using knowledge graphs to assist deep learning models in making recommendation decisions has recently been proven to effectively improve the model′s interpretability and *** paper introduces an end-to-end deep learning model,named representation-enhanced knowledge graph convolutional networks(RKGCN),which dynamically analyses each user′s preferences and makes a recommendation of suitable *** combines knowledge graphs on both the item side and user side to enrich their representations to maximize the utilization of the abundant information in knowledge *** is able to offer more personalized and relevant recommendations in three different *** experimental results show the superior effectiveness of our model over 5 baseline models on three real-world datasets including movies,books,and music.

关键词： Deep learning recommendation systems knowledge graph graph convolutional networks(GCNs) graph neural networks(GNNs)

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Mitigating Lattice Distortion of High‑Voltage LiCoO_(2)via Core‑Shell Structure Induced by Cationic Heterogeneous Co‑Doping for Lithium‑Ion Batteries

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Nano-Micro Letters 2024年第3期16卷 169-182页

作者： Zezhou Lin Ke Fan Tiancheng Liu Zhihang Xu Gao Chen Honglei Zhang Hao Li Xuyun Guo Xi Zhang ye zhu Peiyu Hou Haitao Huang Department of Applied Physics and Research Institute for Smart Energy The Hong Kong Polytechnic UniversityHong KongPeople’s Republic of China Department of Applied Physics The Hong Kong Polytechnic UniversityHong KongPeople’s Republic of China Institute of Nanosurface Science and Engineering Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics EngineeringShenzhen UniversityShenzhenPeople’s Republic of China School of Physics and Technology University of JinanJinanShandongPeople’s Republic of China

Inactive elemental doping is commonly used to improve the structural stability of high-voltage layered transition-metal oxide ***,the one-step co-doping strategy usually results in small grain size since the low diffusivity ions such as Ti^(4+)will be concentrated on grain boundaries,which hinders the grain *** order to synthesize large single-crystal layered oxide cathodes,considering the different diffusivities of different dopant ions,we propose a simple two-step multi-element co-doping strategy to fabricate core–shell structured LiCoO_(2)(CS-LCO).In the current work,the high-diffusivity Al^(3+)/Mg^(2+)ions occupy the core of single-crystal grain while the low diffusivity Ti^(4+)ions enrich the shell *** Ti^(4+)-enriched shell layer(~12 nm)with Co/Ti substitution and stronger Ti–O bond gives rise to less oxygen ligand ***-situ XRD demonstrates the constrained contraction of c-axis lattice parameter and mitigated structural *** a high upper cut-off voltage of 4.6 V,the single-crystal CS-LCO maintains a reversible capacity of 159.8 mAh g^(−1)with a good retention of~89%after 300 cycles,and reaches a high specific capacity of 163.8 mAh g^(−1)at *** proposed strategy can be extended to other pairs of low-(Zr^(4+),Ta^(5+),and W6+,etc.)and high-diffusivity cations(Zn^(2+),Ni^(2+),and Fe^(3+),etc.)for rational design of advanced layered oxide core–shell structured cathodes for lithium-ion batteries.

关键词： Lithium-ion battery LiCoO_(2) Heterogeneous co-doping Core-shell structure High-voltage stability

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知识产权战略赋能企业高质量发展了吗?——基于知识产权示范城市的准自然实验

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科学学与科学技术管理 2024年第4期45卷 68-83页

作者：朱叶孙明贵东华大学旭日工商管理学院上海200051 塔里木大学经济与管理学院新疆阿拉尔843300

知识产权战略能否成为企业高质量发展的有效支撑?这是中国知识产权强国背景下通过优化营商环境赋能企业高质量发展的重要问题。以知识产权示范城市为准自然实验,基于2010—2019年中国沪深A股上市公司样本,遵循创新、协调、绿色、开放、... 详细信息

知识产权战略能否成为企业高质量发展的有效支撑?这是中国知识产权强国背景下通过优化营商环境赋能企业高质量发展的重要问题。以知识产权示范城市为准自然实验,基于2010—2019年中国沪深A股上市公司样本,遵循创新、协调、绿色、开放、共享的新发展理念测量企业高质量发展指数,采用多期双重差分法验证知识产权战略对企业高质量发展的影响。研究发现:(1)知识产权示范城市显著促进企业高质量发展,并通过平行趋势、安慰剂及其他稳健性检验;(2)技术创新激励、融资约束缓解和制度性交易成本降低是其中介机制;(3)知识产权示范城市的促进作用具有滞后效应和长期效应;(4)在企业层面,对非国有企业的促进作用显著,国有企业不显著;对实施组织政治战略的企业显著,没有实施的不显著;(5)在区位层面,对沿海企业的促进作用显著,内陆企业不显著;(6)在政商关系上,对归属高亲近、高清白政商关系下企业的促进大于低亲近、低清白政商关系。拓展将知识产权示范城市切入企业层面进行政策效应评估的理论研究和经验证据,为知识产权示范城市推进及企业高质量发展提供政策启示。

关键词：企业高质量发展知识产权示范城市技术创新融资约束制度性交易成本

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Multifaceted roles of lymphatic and blood endothelial cells in the tumor microenvironment of hepatocellular carcinoma:A comprehensive review

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World Journal of Hepatology 2024年第4期16卷 537-549页

作者： Jing-Jing Li Jia-Xi Mao Han-Xiang Zhong Yuan-Yu Zhao Fei Teng Xin-Yi Lu Li-ye zhu Yang Gao Hong Fu Wen-Yuan Guo Department of Liver Surgery and Organ Transplantation Shanghai Changzheng HospitalNaval Medical UniversityShanghai 200003China

The tumor microenvironment is a complex network of cells,extracellular matrix,and signaling molecules that plays a critical role in tumor progression and *** and blood vessels are major routes for solid tumor metastasis and essential parts of tumor drainage ***,recent studies have shown that lymphatic endothelial cells(LECs)and blood endothelial cells(BECs)also play multifaceted roles in the tumor microenvironment beyond their structural functions,particularly in hepatocellular carcinoma(HCC).This comprehensive review summarizes the diverse roles played by LECs and BECs in HCC,including their involvement in angiogenesis,immune modulation,lymphangiogenesis,and *** providing a detailed account of the complex interplay between LECs,BECs,and tumor cells,this review aims to shed light on future research directions regarding the immune regulatory function of LECs and potential therapeutic targets for HCC.

关键词： Lymphatic endothelial cells Blood endothelial cells Hepatocellular carcinoma Tumor microenvironment

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基于双流增强编码和注意优化解码的图像篡改定位算法

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液晶与显示 2024年第8期39卷 1103-1115页

作者：朱叶赵晓祥于洋河北工业大学人工智能与数据科学学院天津300401

主流图像篡改定位方法通常通过简单操作融合不同流的不一致特征,导致特征冗余且篡改区域的像素误检。基于此,本文提出基于双流增强编码和注意优化解码的图像篡改定位框架。首先,提出双流增强编码分别对图像和频域特征进行基于噪声和通... 详细信息

主流图像篡改定位方法通常通过简单操作融合不同流的不一致特征,导致特征冗余且篡改区域的像素误检。基于此,本文提出基于双流增强编码和注意优化解码的图像篡改定位框架。首先,提出双流增强编码分别对图像和频域特征进行基于噪声和通道注意力的自增强和基于特征映射的交叉注意权重的交互增强。随后,引入多级感受野策略探索多尺度上下文信息,设计邻阶特征聚合模块融合多尺度相邻特征。最后,利用篡改区域和非篡改区域协同增强模型的篡改定位能力,提出注意优化解码模块,消除初始篡改区域预测中边缘像素的错误预测,逐步精确细化篡改定位。在4个主流公共基准数据集NIST16、Coverage、Columbia、CASIA和两个现实挑战数据集IMD20、Wild上与主流篡改定位方法进行对比,本文算法在无微调模型和微调模型两个设置下,在6个数据集上的性能最优,证明本文提出的篡改定位网络能够充分利用多种篡改线索,在不同的篡改数据集上实现篡改区域的有效定位,具有更高的定位精度和更强的鲁棒性。

关键词：图像篡改定位双流增强编码注意优化解码邻阶特征聚合

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