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Biomedical polymers: synthesis, properties, and applications

science china Chemistry 2022年第6期65卷 1010-1075页

作者： Wei-Hai chen Qi-Wen chen Qian chen Chunyan Cui Shun Duan Yongyuan Kang yang Liu Yun Liu Wali Muhammad Shiqun Shao chengqiang Tang Jinqiang Wang Lei Wang Meng-Hua Xiong Lichen Yin Kuo zhang Zhanzhan zhang Xu Zhen Jun Feng Changyou Gao Zhen Gu Chaoliang He Jian Ji Xiqun Jiang Wenguang Liu Zhuang Liu Huisheng Peng Youqing Shen Linqi Shi Xuemei Sun Hao Wang Jun Wang Haihua Xiao Fu-Jian Xu Zhiyuan zhong Xian-Zheng zhang Xuesi chen key laboratory of Biomedical Polymers of Ministry of Education&{2. of Chemistry Wuhan UniversityWuhan430072China Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou215123China School of Materials science and Engineering Tianjin Key Laboratory of Composite and Functional MaterialsTianjin UniversityTianjin300350China key laboratory of Biomedical Materials of Natural Macromolecules({2. university of Chemical technology) Ministry of EducationBeijing Laboratory of Biomedical MaterialsCollege of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijing100029China MOE key laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringZhejiang UniversityHangzhou310027China state key {2. of Medicinal Chemical Biology Key Laboratory of Functional Polymer Materials of Ministry of EducationCollege of ChemistryNankai UniversityTianjin300071China key laboratory of Advanced Drug Delivery {2. of Zhejiang Province College of Pharmaceutical SciencesZhejiang UniversityHangzhou310058China Jinhua Institute of Zhejiang university Jinhua321299China Zhejiang key laboratory of Smart BioMaterials and Center for Bionanoengineering College of Chemical and Biological EngineeringZhejiang UniversityHangzhou310027China ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou311215China state key {2. of Molecular Engineering of Polymers Department of Macromolecular Science and Laboratory of Advanced MaterialsFudan UniversityShanghai200438China CAS key laboratory for Biomedical Effects of Nanomaterials and Nanosafety CAS Center for Excellence in Nano-scienceNational Center for Nanoscience and Technology(NCNST)Beijing100190China School of Biomedical sciences and Engineering Guangzhou International CampusSouth China University of TechnologyGuangzhou510006China Institute of Functional Nano and So

Biomedical polymers have been extensively developed for promising applications in a lot of biomedical fields, such as therapeutic medicine delivery, disease detection and diagnosis, biosensing, regenerative medicine, and disease treatment. In this review, we summarize the most recent advances in the synthesis and application of biomedical polymers, and discuss the comprehensive understanding of their property-function relationship for corresponding biomedical applications. In particular, a few burgeoning bioactive polymers, such as peptide/biomembrane/microorganism/cell-based biomedical polymers, are also introduced and highlighted as the emerging biomaterials for cancer precision therapy. Furthermore, the foreseeable challenges and outlook of the development of more efficient, healthier and safer biomedical polymers are discussed. We wish this systemic and comprehensive review on highlighting frontier progress of biomedical polymers could inspire and promote new breakthrough in fundamental research and clinical translation.

关键词： biomedical polymer nanomedicine cancer therapy drug delivery bioimaging and biosensing tissue engineering regenerative medicine cytotoxicity biocompatibility

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A memetic algorithm for path planning of curvature-constrained UAVs performing surveillance of multiple ground targets

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Chinese Journal of Aeronautics 2014年第3期27卷 622-633页

作者： zhang Xing chen Jie Xin Bin Peng Zhihong School of automation Beijing Institute of Technology state key {2. of intelligent Control and Decision of Complex systems

The problem of generating optimal paths for curvature-constrained unmanned aerial vehicles （UAVs） performing surveillance of multiple ground targets is addressed in this paper. UAVs are modeled as Dubins vehicles so that the constraints of UAVs＇ minimal turning radius can be taken into account. In view of the effective surveillance range of the sensors equipped on UAVs, the problem is formulated as a Dubins traveling salesman problem with neighborhood （DTSPN）. Considering its prohibitively high computational complexity, the Dubins paths in the sense of terminal heading relaxation are introduced to simplify the calculation of the Dubins distance, and a boundary-based encoding scheme is proposed to determine the visiting point of every target neighborhood. Then, an evolutionary algorithm is used to derive the optimal Dubins tour. To further enhance the quality of the solutions, a local search strategy based on approximate gradient is employed to improve the visiting points of target neighborhoods. Finally, by a minor modification to the individual encoding, the algorithm is easily extended to deal with other two more sophisticated DTSPN variants （multi-UAV scenario and multiple groups of targets scenario）. The performance of the algorithm is demonstrated through comparative experiments with other two state-of-the-art DTSPN algorithms identified in literature. Numerical simulations exhibit that the algorithm proposed in this paper can find high-quality solutions to the DTSPN with lower computational cost and produce significantly improved performance over the other algorithms.

关键词： Approximate gradient Dubins traveling salesmanproblem with neighborhood Local search Memetic algorithm Unmanned aerial vehicles

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Structure-free containment control for uncertain underactuated multiple Euler-Lagrange systems

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science china({2. sciences) 2023年第11期66卷 150-168页

作者： Housheng SU Yali WU Liren zhang Xia chen key laboratory of Image Processing and {2. Control of Education Ministry of china School of Artificial Intelligence and Automation Huazhong University of Science and Technology state key {2. of Advanced Electromagnetic Engineering and technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology

This article studies the problem of structure-free distributed containment control for uncertain underactuated multiple Euler-Lagrange systems(MELSs) considering disturbances by using a layered approach. First, the second layer is the virtual layer constructed artificially for hierarchical control. We move all virtual nodes to the convex hull formed by leaders in the first layer by implementing containment control algorithms on all virtual nodes. Then, the third layer is the following layer, and we propose an adaptive robust tracking controller to ensure that each follower in the third layer tracks the corresponding virtual node in the second layer. So far, the underactuated MELSs can achieve containment control. Furthermore,through the theoretical derivation, sufficient conditions are obtained to achieve the objective of structure-free containment control. Finally, the effectiveness of the proposed stratified structure-free containment control method is verified by a simulation example.

关键词： Euler-Lagrange systems underactuated system containment control adaptive-robust control

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Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake

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Genomics, Proteomics & Bioinformatics 2019年第1期17卷 76-90页

作者： Maozhen Han Melissa Dsouza Chunyu Zhou Hongjun Li Junqian zhang Chaoyun chen Qi Yao Chaofang {2. Hao Zhou Jack A Gilbert Zhi Wang Kang Ning key laboratory of Molecular Biophysics of the Ministry of Education Hubei Key Laboratory of Bioinformatics and Molecularimaging Department of Bioinformatics and Systems Biology College of Life Science and Technology Huazhong University of Science and Technology key laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Institute of Geodesy and GeophysicsChinese Academy of Sciences The Microbiome Center Department of Surgery University of Chicago Argonne national laboratory Biosciences Division Marine Biological laboratory state key {2. of Water Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences

Agricultural activities, including stock-farming, planting industry, and fish aquaculture,can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain ***, in this work, we selected Honghu Lake as a typical lake that is influenced by agriculture activities. We collected water and sediment samples from 18 sites, which span a wide range of areas from impacted and less-impacted areas. We performed a geospatial analysis on the composition of microbial communities associated with physicochemical properties and antibiotic pollution of samples. The co-occurrence networks of water and sediment were also built and analyzed. Our results showed that the microbial communities of impacted and less-impacted samples of water were largely driven by the concentrations of TN, TP, NO_3^--N, and NO_2.--N, while those of sediment were affected by the concentrations of Sed-OM and Sed-TN. Antibiotics have also played important roles in shaping these microbial communities: the concentrations of oxytetracycline and tetracycline clearly reflected the variance in taxonomic diversity and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Furthermore, for samples from both water and sediment, large differences of network topology structures between impacted and less-impacted were also observed. Our results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu Lake.

关键词： Freshwater Microbial communities Agriculture activities Antibiotics Human impact

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Brain-inspired intelligent Robotics:Theoretical Analysis and Systematic Application

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Machine Intelligence Research 2023年第1期20卷 1-18页

作者： Hong Qiao Ya-Xiong Wu Shan-Lin zhong Pei-Jie Yin Jia-Hao chen The state key {2. of Management and Control for Complex System Institute of AutomationChineseAcademyof SciencesBeijing100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Chinese Academy of science Center for Excellence in Brain science and Intelligence {2. Shanghai 200031China School of Mechanical Engineering University of Science and Technology BeijingBeijing 100083China

Traditional joint-link robots have been widely used in production lines because of their high precision for single *** the development of the manufacturing and service industries,the requirement for the comprehensive performance of robotics is *** types of bio-inspired robotics have been investigated to realize human-like motion control and manipulation.A study route from inner mechanisms to external structures is proposed to imitate humans and animals *** this idea,a brain-inspired intelligent robotic system is constructed that contains visual cognition,decision-making,motion control,and musculoskeletal *** paper reviews cutting-edge research in brain-inspired visual cognition,decision-making,motion control,and musculoskeletal *** software systems and a corresponding hardware system are established,aiming at the verification and applications of next-generationbrain-inspired musculoskeletal robots.

关键词： Brain-inspired intelligent robot software and hardware decision making muscle control cognitive intelligence.

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Photo-thermoelectric generator integrated in graphene-based actuator for self-powered sensing function

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Nano Research 2022年第6期15卷 5376-5383页

作者： Peidi Zhou Jian Lin Wei zhang Zhiling Luo Luzhuo chen Fujian Provincial key laboratory of Quantum Manipulation and New Energy Materials College of Physics and EnergyFujian Normal UniversityFuzhou 350117China Fujian Provincial Collaborative Innovation Center for Advanced High-Field Superconducting Materials and Engineering Fuzhou 350117China Fujian Provincial Engineering technology Research Center of Solar Energy Conversion and Energy Storage Fuzhou 350117China

Smart actuators integrated with sensing functions are taking a significant role in constructing intelligent ***,the detection of sensing signals in most actuators requires external electrical power,lacking in the self-powered ***,we report a graphene-based light-driven actuator with self-powered sensing function,which is designed by integrating a photothermoelectric generator into the actuator *** one part of the actuator is irradiated by near-infrared light,it shows a deformation with bending curvature up to 1.5 cm^(−1),owing to the mismatch volume changes between two layers of the ***,the temperature difference across the actuator generates a voltage signal due to the photo-thermoelectric *** Seebeck coefficient is higher than 40μV/***,the self-powered voltage signal is consistent with the deformation trend,which can be used to characterize the deformation state of actuator without external electrical *** further demonstrate a gripper and a bionic *** deformations mimic the motions of human hand(or finger),even making complex ***,they can output self-powered voltage signals for *** hope this research will pave a new way for selfpowered devices,state-of-the-art intelligent robots,and other integrated multi-functional systems.

关键词： photo-thermoelectric effect generator light-driven actuator self-powered graphene

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Analysis of overload-based cascading failure in multilayer spatial networks

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Chinese Physics B 2020年第9期29卷 404-414页

作者： Min zhang Xiao-Juan Wang Lei Ji Mei Song zhong-Hua Liao School of science Beijing University of Posts and TelecommunicationsBeijing 100876China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation CenterBeijing 100854China state key {2. of intelligent Manufacturing System technology Beijing Institute of Electronic System EngineeringBeijing 100854China

Many complex networks in real life are embedded in space and most infrastructure networks are interdependent,such as the power system and the transport *** this paper,we construct two cascading failure models on the multilayer spatial *** our research,the distance l between nodes within the layer obeys the exponential distribution P(l)~exp(-l/ζ),and the length r of dependency link between layers is defined according to node *** entropy approach is applied to analyze the spatial network structure and reflect the difference degree between *** metrics,namely dynamic network size and dynamic network entropy,are proposed to evaluate the spatial network robustness and *** the cascading failure process,the spatial network evolution is analyzed,and the numbers of failure nodes caused by different reasons are also counted,***,we discuss the factors affecting network *** demonstrate that the larger the values of average degree,the stronger the network *** the length r decreases,the network performs *** the probability p is small,asζdecreases,the network robustness becomes more *** p is large,the network robustness manifests better performance asζ*** results provide insight into enhancing the robustness,maintaining the stability,and adjusting the difference degree between nodes of the embedded spatiality systems.

关键词： cascading failure multilayer network load distribution spatial network entropy

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Towards autonomous and optimal excavation of shield machine:a deep reinforcement learning-based approach

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Journal of Zhejiang university-science A(Applied Physics & Engineering) 2022年第6期23卷 458-478页

作者： Ya-kun zhang Guo-fang GONG Hua-yong yang Yu-xi {2. Geng-lin {2. state key {2. of Fluid Power and Mechatronic systems Zhejiang UniversityHangzhou 310027China School of Electrical and Power Engineering China University of Mining and TechnologyXuzhou 221116China

Autonomous excavation operation is a major trend in the development of a new generation of intelligent tunnel boring machines(TBMs).However,existing technologies are limited to supervised machine learning and static optimization,which cannot outperform human operation and deal with ever changing geological conditions and the long-term performance *** aim of this study is to resolve the problem of dynamic optimization of the shield excavation performance,as well as to achieve autonomous optimal *** this study,a novel autonomous optimal excavation approach that integrates deep reinforcement learning and optimal control is proposed for shield *** on a first-principles analysis of the machine-ground interaction dynamics of the excavation process,a deep neural network model is developed using construction field data consisting of 1.1 million *** multi-system coupling mechanism is revealed by establishing an overall system *** on the overall system analysis,the autonomous optimal excavation problem is decomposed into a multi-objective dynamic optimization problem and an optimal control ***,a dimensionless multi-objective comprehensive excavation performance measure is proposed.A deep reinforcement learning method is used to solve for the optimal action sequence trajectory,and optimal closed-loop feedback controllers are designed to achieve accurate *** performance of the proposed approach is compared to that of human operation by using the construction field *** simulation results show that the proposed approach not only has the potential to replace human operation but also can significantly improve the comprehensive excavation performance.

关键词： Shield machine Slurry shield intelligent tunnel boring machine(TBM) Deep reinforcement learning Optimal control Dynamic optimization Deep learning

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Controllable optical multistability in hybrid optomechanical system assisted by parametric interactions

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science china(Physics,Mechanics & Astronomy) 2017年第1期60卷 17-23页

作者： cheng Jiang zhang Yin Zhai Yuan Shun Cui GuiBin chen School of Physics and Electronic Electrical Engineering Huaiyin Normal University Huai'an 223300 China Jiangsu key laboratory of Modern Measurement {2. and intelligent systems Huaiyin Normal University Huai'an 223300 China

We theoretically investigate the multistable behavior of a hybrid optomechanical system, in which a charged mechanical resonator is coupled via Coulomb interaction to an optomechanical cavity containing an optical parametric amplifier （OPA）. It is shown that the multistable behavior of the mean intracavity photon number can be controlled flexibly by adjusting the nonlinear gain parameter of the OPA, the phase of the field pumping the OPA, the power and frequency of the field driving the cavity, and the Coulomb coupling strength between the two charged mechanical resonators. In particular, the increase of the nonlinear gain parameter can result in a transition from bistability to tristability. Moreover, the effect of the Coulomb coupling strength on the bistable behavior of the steady-state positions of the two mechanical resonators is discussed.

关键词： cavity optomechanics optical multistability optical parametric amplifier Coulomb interaction

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Social Media Based Transportation Research: the state of the Work and the Networking

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 19-26页

作者： Yisheng Lv Yuanyuan chen Xiqiao zhang Yanjie Duan Naiqiang Li state key {2. of Management and Control for Complex systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of intelligent Industries department of Transportation Engineering School of Transportation Science and Technology Harbin Institute of Technology

Recently, there has been an increased interest in the use of social media data as important traffic information sources. In this paper, we review social media based transportation research with social network analysis *** summarize main research topics in this field, and report collaboration patterns at levels of researchers, institutions, and countries, respectively. Finally, some future research directions are identified. © 2.14 Chinese Association of {2..

关键词： Traffic control Transportation

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