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An Ultrasound-Activated Supramolecular Modulator Enhancing Autophagy to Prevent Ventricular Arrhythmias Post-Myocardial Infarction

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Angewandte Chemie 2024年第3期137卷

作者： Yida Pang Qian Li Jiale Wang Prof. Songyun Wang Prof. Amit Sharma Yuling Xu Haoyuan Hu Prof. Junrong Li Prof. Shuang Liu Prof. Yao Sun State Key Laboratory of Green Pesticide International Joint Research Center for Intelligent Biosensor Technology and Health College of Chemistry Central China Normal University Wuhan 430079 China Department of Cardiology Renmin Hospital of Wuhan University Cardiac Autonomic Nervous System Research Center of Wuhan Univesity Cardiovascular Research Institute Wuhan University Wuhan 430072 China Amity School of Chemical Sciences Amity University Punjab Sector 82 A Mohali Punjab 140306 India School of Materials Science and Engineering Wuhan University of Technology Wuhan 430070 China

Ventricular arrhythmias (VAs) triggered by myocardial infarction (MI) are the leading cause of sudden cardiac mortality worldwide. Current therapeutic strategies for managing MI-induced VAs, such as left stellate ganglion resection and ablation, are suboptimal, highlighting the need to explore safer and more effective intervention strategies. Herein, we rationally designed two supramolecular sonosensitizers RuA and RuB , engineered through acceptor modification to generate moderate reactive oxygen species (ROS) to modulate VAs. Both RuA and RuB demonstrated high ultrasound (US)-activated ROS production efficiency, with singlet oxygen ( 1 O 2 ) quantum yield (Φ Δ ) of 0.70 and 0.88, respectively, surpassing ligand IR1105 and the conventional sonosensitizer ICG (Φ Δ =0.40). In vitro, RuB , at a modest concentration and under US intensity notably boosts pro-survival autophagy in microglia BV2 cell. To improve in vivo stability and biocompatibility, RuB was further encapsulated into DSPE-PEG 5000 to prepare RuB nanoparticles ( RuB NPs). In vivo studies after microinjection of RuB NPs into the paraventricular nucleus (PVN) and subsequent US exposure, demonstrated that RuB NPs-mediated US modulation effectively suppresses sympathetic nervous activity (SNA) and inflammatory responses, thereby preventing VAs. Importantly, no tissue injury was observed post RuB NPs-mediated US modulation. This work pioneers the design of long-wave emission supramolecular sonosensitizers, offering new insights into regulating cardiovascular diseases.

关键词： Supramolecular Chemistry Sonosensitizers Autophagy Myocardial infarction Ventricular Arrythmias

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Robotic Electrospinning Actuated by Non-Circular Joint Continuum Manipulator for Endoluminal Therapy

arXiv

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arXiv 2021年

作者： Wu, Zicong Lou, Chuqian Jin, Zhu Huang, Shaoping Liu, Ning Zou, Yun Kovac, Mirko Gao, Anzhu Yang, Guang-Zhong Institute of Medical Robotics Department of Bioengineering Shanghai Jiao Tong University Shanghai200240 China Imperial College London Empa Swiss Federal Laboratories for Materials Science and Technology Limited Hong Kong999077 Hong Kong Aerial Robotics Laboratory Imperial College London LondonSW7 2AZ United Kingdom Institute of Medical Robotics Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China

Electrospinning has exhibited excellent benefits to treat the trauma for tissue engineering due to its produced micro/nano fibrous structure. It can effectively adhere to the tissue surface for long-term continuous therapy. This paper develops a robotic electrospinning platform for endoluminal therapy. The platform consists of a continuum manipulator, the electrospinning device, and the actuation unit. The continuum manipulator has two bending sections to facilitate the steering of the tip needle for a controllable spinning direction. Non-circular joint profile is carefully designed to enable a constant length of the centreline of a continuum manipulator for stable fluid transmission inside it. Experiments are performed on a bronchus phantom, and the steering ability and bending limitation in each direction are also investigated. The endoluminal electrospinning is also fulfilled by a trajectory following and points targeting experiments. The effective adhesive area of the produced fibre is also illustrated. The proposed robotic electrospinning shows its feasibility to precisely spread more therapeutic drug to construct fibrous structure for potential endoluminal treatments. © 2021, CC BY-NC-SA.

关键词： Electrospinning

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Training and Testing Object Detectors With Virtual Images

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IEEE/CAA Journal of Automatica Sinica 2018年第2期5卷 539-546页

作者： Yonglin Tian Xuan Li Kunfeng Wang Fei-Yue Wang Department of Automation University of Science and Technology of China Hefei 230027 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijirtg 100190 China School of Automation Beijing Institute of Technology Beijing 100081. China Qingdao Academy of Intelligent Industries Qingdao 266000 China Research Center for Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha 410073 China IEEE

In the area of computer vision, deep learning has produced a variety of state-of-the-art models that rely on massive labeled data. However, collecting and annotating images from the real world is too demanding in terms of labor and money investments, and is usually inflexible to build datasets with specific characteristics, such as small area of objects and high occlusion level. Under the framework of Parallel Vision, this paper presents a purposeful way to design artificial scenes and automatically generate virtual images with precise annotations.A virtual dataset named Parallel Eye is built, which can be used for several computer vision tasks. Then, by training the DPM(Deformable parts model) and Faster R-CNN detectors, we prove that the performance of models can be significantly improved by combining Parallel Eye with publicly available real-world datasets during the training phase. In addition, we investigate the potential of testing the trained models from a specific aspect using intentionally designed virtual datasets, in order to discover the flaws of trained models. From the experimental results, we conclude that our virtual dataset is viable to train and test the object detectors.

关键词： Index Terms--Deep learning object detection parallel vision virtual dataset

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Magnetic Continuum Robot for intelligent Manipulation in Medical Applications

SmartBot

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SmartBot 2025年

作者： Yuanbiao Ma Xuanyu An Qijun Yang Mingxue Cai Zhiqiang Tang Jinke Chang Veronica Iacovacci Tiantian Xu Li Zhang Qianqian Wang Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments School of Mechanical Engineering Southeast University Nanjing China Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Department of Mechanical Engineering National University of Singapore Queenstown Singapore Department of Engineering Science University of Oxford Oxford UK Department of Surgical Biotechnology Division of Surgery & Interventional Science Centre for Biomaterials in Surgical Reconstruction and Regeneration University College London London UK BioRobotics Institute Scuola Superiore Sant’Anna Pisa Italy Department of Excellence in Robotics & AI Scuola Superiore Sant’Anna Pisa Italy Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong China Chow Yuk Ho Technology Center for Innovative Medicine The Chinese University of Hong Kong Hong Kong China Multi-Scale Medical Robotics Center Hong Kong Science Park Hong Kong China

Magnetic continuum robots (MCRs) have garnered substantial attention as a new class of flexible robotic systems capable of navigating complex and confined spaces with remarkable dexterity. By combining continuous, deformable structures with remotely applied magnetic fields, MCRs achieve contactless, remote manipulation, making them well-suited for medical applications. This review introduces recent advances in MCR research, focusing on design principles, structural configurations, and control strategies. Various MCR designs and structures, including those integrated with permanent magnets, magnetic matter, ferromagnetic sphere, and micro coil, are discussed. Furthermore, different magnetic actuation platforms are introduced, and the level of MCR automation is classified based on control strategies. key intelligent manipulation capabilities of MCRs, including navigation, delivery, printing, grasping, imaging, and sensing are explored. Finally, future development priorities and directions are identified to provide insights for advancing intelligent robotic systems.

关键词： intelligent manipulation magnetic actuation magnetic continuum robot medical application

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Adaptive Clustering SOFC Image Segmentation Based on Particle Swarm Optimization

Adaptive Clustering SOFC Image Segmentation Based on Particl...

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2019 3rd International Conference on Machine Vision and Information technology (CMVIT 2019)

作者： Xuefei Yang Xiaowei Fu Xi Li College of Computer Science and Technology Wuhan University of Science and TechnologyHubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System State Key Laboratory of Materials Processing and Die & Mould Technology Huazhong University of Science and Technology College of Automation Huazhong University of Science and Technology

Microstructural parameters are important for analyzing the chemistry and performance of solid oxide fuel cells（SOFCs）. Aiming at the YSZ/Ni anode optical microscopy（OM） image of SOFC, in this paper, particle swarm intelligent optimization algorithm is used to improve the fuzzy C-means clustering algorithm for image segmentation. Particle swarm optimization is used to adaptively search the initial clustering center, helping to avoid local optimization and preserve more image detail. The experimental results show that the proposed method can improve the segmentation accuracy of images. At the same time, it can accurately segment the SOFC three-phase and provide effective image segmentation results for the microstructure parameters.

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Publisher Correction: Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computing

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Nature materials 2023年第11期22卷 1430页

作者： Guangjian Wu Xumeng Zhang Guangdi Feng Jingli Wang Keji Zhou Jinhua Zeng Danian Dong Fangduo Zhu Chenkai Yang Xiaoming Zhao Danni Gong Mengru Zhang Bobo Tian Chungang Duan Qi Liu Jianlu Wang Junhao Chu Ming Liu State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai China. Shanghai Qi Zhi Institute Xuhui District Shanghai China. Zhangjiang Fudan International Innovation Center Fudan University Shanghai China. Key Laboratory of Polar Materials and Devices (MOE) Ministry of Education Shanghai Center of Brain-inspired Intelligent Materials and Devices Department of Electronics East China Normal University Shanghai China. State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai China. Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing China. Key Laboratory of Polar Materials and Devices (MOE) Ministry of Education Shanghai Center of Brain-inspired Intelligent Materials and Devices Department of Electronics East China Normal University Shanghai China. bbtian@***. State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai China. qi_liu@***. Shanghai Qi Zhi Institute Xuhui District Shanghai China. qi_liu@***. Zhangjiang Fudan International Innovation Center Fudan University Shanghai China. qi_liu@***. State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai China. jianluwang@***. Shanghai Qi Zhi Institute Xuhui District Shanghai China. jianluwang@***. Zhangjiang Fudan International Innovation Center Fudan University Shanghai China. jianluwang@***. Institute of Optoelectronics Shanghai Frontier Base of Intelligent Optoelectronics and Perception Fudan University Shanghai China. jianluwang@***. Institute of Optoelectronics Shanghai Frontier Base of Intelligent Optoelectronics and Perception Fudan University Shanghai China.

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A crystal plasticity-based reversible phase transformation model for Ti 49 Zr 20 Hf 15 Al 10 Nb 6 high-entropy alloy

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Acta Materialia 2025年

作者： Chuhao Liu Xiaochuan Sun Xiaodan Zhang Shengyi Zhong Yubin Wu Peter K Liaw Huamiao Wang Zhihong Jia Yinghong Peng State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai 200240 China State Key Lab of Metal Matrix Composites School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China School of mechanical engineering and automation Fuzhou University Fujian 350116 China School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai 200249 China SJTU Paris Elite Institute of Technology Shanghai Jiao Tong University Shanghai 200240 China Suzhou Druli New Material Technology Research and Development Co. Ltd Suzhou Jiangsu 215133 China Department of Materials Science and Engineering The University of Tennessee Knoxville TN 37996 USA Shanghai Key Laboratory of Mechanics in Energy Engineering Shanghai Frontier Science Center of Mechanoinformatics Shanghai Institute of Applied Mathematics and Mechanics School of Mechanics and Engineering Science Shanghai University Shanghai 200072 China Key Laboratory for Light-weight Materials Nanjing Tech University Nanjing 210009 China

The high-entropy alloys (HEAs) primarily composed of elements such as Ti, Zr, Hf, and Nb generally exhibit a B2-type crystal structure, contributing to their enhanced strength. However, the limited ability of the B2 lattice structure to accommodate plastic deformation leads to poor plasticity in this type of alloys. The deformation-induced martensitic transformation (DIMT) occurring in the B2 lattice can effectively alleviate the poor plasticity associated with these alloys. Our work focuses on the previously reported Ti49Zr20Hf15Al10Nb6 high-entropy alloy with DIMT mechanism, employing an improved elastic visco-plastic self-consistent (EVPSC) model to predict and analyze the macro- and micro-mechanical responses during uniaxial tension and cyclic loading that includes loading, unloading, and reloading. The model results elucidate the stress-strain behavior and volume fraction evolution of the β parent phase and α ″ martensite phase during tension and cyclic loading, while quantitatively assessing the contributions of transformation and dislocation mechanisms to plastic deformation. Additionally, it explores the influence of back stress—a topic that is rarely addressed—on the reverse process of martensitic transformation and recoverable strain in this high-entropy alloy at the microstructural level. This model serves as a theoretical analysis tool for HEAs that incorporate reversible phase transformation (RPT) mechanism, facilitating the understanding of the evolutionary processes governing mechanical behavior at the microstructural level and thereby guiding the enhancement of toughness in B2 lattice HEAs.

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Regret and Cumulative Constraint Violation Analysis for Distributed Online Constrained Convex Optimization

arXiv

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arXiv 2021年

作者： Yi, Xinlei Li, Xiuxian Yang, Tao Xie, Lihua Chai, Tianyou Johansson, Karl H. The Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden The Digital Futures Stockholm10044 Sweden The Department of Control Science and Engineering College of Electronics and Information Engineering The Shanghai Research Institute for Intelligent Autonomous Systems Tongji University Shanghai China The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore

This paper considers the distributed online convex optimization problem with time-varying constraints over a network of agents. This is a sequential decision making problem with two sequences of arbitrarily varying convex loss and constraint functions. At each round, each agent selects a decision from the decision set, and then only a portion of the loss function and a coordinate block of the constraint function at this round are privately revealed to this agent. The goal of the network is to minimize the network-wide loss accumulated over time. Two distributed online algorithms with full-information and bandit feedback are proposed. Both dynamic and static network regret bounds are analyzed for the proposed algorithms, and network cumulative constraint violation is used to measure constraint violation, which excludes the situation that strictly feasible constraints can compensate the effects of violated constraints. In particular, we show that the proposed algorithms achieve O(T max{κ,1-κ}) static network regret and O(T 1-κ/2) network cumulative constraint violation, where T is the time horizon and κ ∈ (0, 1) is a user-defined trade-off parameter. Moreover, if the loss functions are strongly convex, then the static network regret bound can be reduced to O(T κ). Finally, numerical simulations are provided to illustrate the effectiveness of the theoretical results. Copyright © 2021, The Authors. All rights reserved.

关键词： Economic and social effects

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Flexible, ultrathin bioelectronic materials and devices for chronically stable neural interfaces

Brain-X

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Brain-X 2023年第4期1卷

作者： Zhou, Lianjie Wu, Zhongyuan Sun, Mubai Park, Jaejin Han, Mengdi Wang, Ming Yu, Junsheng Di, Zengfeng Mei, Yongfeng Bai, Wubin Yu, Xinge Yu, Ki Jun Song, Enming Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Fudan University Shanghai China Institute of Agro-food Technology Jilin Academy of Agricultural Sciences Jilin Changchun China Functional Bio-integrated Electronics and Energy Management Lab School of Electrical and Electronic Engineering Yonsei University Seoul South Korea Department of Biomedical Engineering College of Future Technology Peking University Beijing China State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai China State Key Laboratory of Electronic Thin Films and Integrated Devices School of Optoelectronic Science and Engineering University of Electronic Science and Technology of China (UESTC) Sichuan Chengdu China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China Department of Material Science Fudan University Shanghai China Department of Applied Physical Sciences University of North Carolina at Chapel Hill Chapel Hill NC United States Department of Biomedical Engineering City University of Hong Kong Hong Kong

Advanced technologies that can establish intimate, long-lived functional interfaces with neural systems have attracted increasing interest due to their wide-ranging applications in neuroscience, bioelectronic medicine, and the associated treatment of neurodegenerative diseases. A critical challenge of significance remains in the development of electronic platforms that offer conformal contact with soft brain tissue for the sensing or stimulation of brain activities and chronically stable operation in vivo, at scales that range from cellular-level resolution to macroscopic areas. This review summarizes recent advances in this field, with an emphasis on the use of demonstrated concepts, constituent materials, engineered designs, and system integration to address the current challenges. The article begins with an overview of recent bioelectronic platforms with unique form factors, ranging from filamentary probes to conformal sheets and three-dimensional frameworks for alleviating the mechanical mismatch between interface materials and neural tissues. Next, active interfaces which utilize inorganic/organic semiconductor-enabled devices are reviewed, highlighting various working principles of recording mechanisms including capacitively and conductively coupled sensing enabled by high transistor matrices at high spatiotemporal resolution. The subsequent section presents approaches to biological integration which use active materials for multiplexed addressing, local amplification and multimodal operation with high-channel-count and large-scale electronic systems in a safe fashion that provides multi-decade stable performance in both animal models and human subjects. The advances summarized in this review will guide the future direction of this technology and provide a basis for next-generation chronic neural interfaces with long-lived high-performance operation. © 2023 The Authors. Brain-X published by John Wiley & Sons Australia, Ltd on behalf of Ainuohui Medical Technol

关键词： active recording barrier materials chronic stability flexibility neural interface passive electrodes

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Research on control strategy of PQ mode virtual synchronous generator with autonomous voltage regulation function 8

Research on control strategy of PQ mode virtual synchronous ...

引用

8th Renewable Power Generation Conference, RPG 2019

作者： Wang, Junjie Liu, Jingbo Li, Dazhong Department of Automation North China Electric Power University Hebei071000 China State Grid Jibei Electric Power Research Institute North China Electric Power Research Institute Co. Ltd. Beijing100045 China Grid-connected Operation Technology for Wind-Solar Storage Hybrid System State Grid Corporation Key Laboratory Beijing100045 China

ISBN: (纸本)9781839531255

The virtual synchronous generator reactive voltage regulation strategy running in PQ mode usually adopts droop control, and its outer loop control directly accepts the reactive power command of AVC in the station to realize the voltage tracking control of the station, but is limited by the automatic voltage control (AVC) period control characteristics in the station. When the voltage fluctuates abnormally, it is unable to respond to voltage fluctuations quickly and increase the risk of wind turbine disconnection failure. This paper proposes a VSG control strategy for automatic reactive power compensation with abnormal voltage fluctuations. The principle analysis of the control method and the specific parameter setting principle are given, so that it can follow the stable operation of the AVC reactive command in the station in steady state, and respond to the voltage change autonomously in the transient state. Finally, a wind farm simulation model is built to verify the correctness and feasibility of this control strategy. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Synchronous generators

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