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Visualizing nonlinear resonance in nanomechanical systems via single-electron tunneling

Nano Research 2021年第4期14卷 1156-1161页

作者： Xinhe Wang Lin Cong Dong Zhu Zi Yuan Xiaoyang Lin Weisheng Zhao Zaiqiao Bai Wenjie Liang Ximing Sun Guang-Wei Deng Kaili Jiang Fert Beijing Research Institute School of Microelectronics&Beijing Advanced Innovation Centre for Big Data and Brain Computing(BDBC)Beihang UniversityBeijing 100191China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics and Tsinghua-Foxconn Nanotechnology Research CenterTsinghua UniversityBeijing 100084China Key Laboratory of Quantum Information CASUniversity of Science and Technology of ChinaHefei 230026China Department of Physics Beijing Normal UniversityBeijing 100875China Institute of Physics Chinese Academy of SciencesBeijing 100080China Institute of Nuclear and New Energy Technology Collaborative Innovation Center of Advanced Nuclear Energy TechnologyKey Laboratory of Advanced Reactor EngineeringTsinghua UniversityBeijing 100084China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China

Numerous reports have elucidated the importance of mechanical resonators comprising quantum-dot-embedded carbon nanotubes(CNTs)for studying the effects of single-electron ***,there is a need to investigate the single-electron transport that drives a large amplitude into a nonlinear ***,a CNT hybrid device has been investigated,which comprises a gate-defined quantum dot that is embedded into a mechanical resonator under strong actuation *** Coulomb peak positions synchronously oscillate with the mechanical vibrations,enabling a single-electron Chopper*1 ***,the vibration amplitude of the CNT versus its frequency can be directly visualized via detecting the time-averaged single-electron tunneling *** understand this phenomenon,a general formula is derived for this time-averaged single-electron tunneling current,which agrees well with the experimental *** using this visualization method,a variety of nonlinear motions of a CNT mechanical oscillator have been directly recorded,such as Duffing nonlinearity,parametric resonance,and double-,fractional-,mixed-frequency *** approach opens up burgeoning opportunities for investigating and understanding the nonlinear motion of a nanomechanical system and its interactions with electron transport in quantum regimes.

关键词： carbon nanotube mechanical resonator quantum dot nonlinear coupling

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MADDPG Based Power Coordination Control Strategy for Hydrogen Energy Storage Units

MADDPG Based Power Coordination Control Strategy for Hydroge...

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IEEE PES Asia-Pacific Power and Energy engineering Conference (APPEEC)

作者： Hongda Dong Daming Xv Jiachen Zhou Chenggang Li Li Zhang Hui Cao Pei Li Qi Cheng Department of Science and Technology Innovation Power Science Research Institute of State Grid Jilin Electric Power Co. Changchun China Department of Technology Digitalization (Data Center) State Grid Baicheng Electric Power Supply Company Baicheng China School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China Department of Safety Supervision (Security Department Emergency Management Department) State Grid Baicheng Electric Power Supply Company Baicheng China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

To address the issues of limited output power of individual electrolyzer and fuel cell, as well as the dynamic energy losses during hydrogen-electricity conversion in the operation of electric-hydrogen coupled system, this paper proposes a power coordination and allocation strategy for hydrogen energy storage system (HESS) units based on a Multi-agent Deep Deterministic Policy Gradient (MADDPG) algorithm. The strategy aims to minimize the energy losses during hydrogen-electricity conversion, reduce the operating costs of HESS units, and minimize the cost of purchasing spinning reserve from the upper-level power grid. Considering the power and energy constraints during the hydrogen-electricity conversion process, the MADDPG algorithm is employed to coordinate the output of multiple HESS units to address power imbalances in the wind-solar-load system. The effectiveness of the proposed strategy is validated through comparison with traditional control strategy.

关键词： Energy loss Costs Heuristic algorithms Power system dynamics Hydrogen Fuel cells Regulation State of charge Spinning Resource management

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Regeneration and functional recovery of the completely transected optic nerve in adult rats by CNTF-chitosan

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Signal Transduction and Targeted Therapy 2023年第3期8卷 912-915页

作者： Xiao Liu Fei Hao Peng Hao Jingxue Zhang Liqiang Wang Si-Wei You Ningli Wang Zhaoyang Yang Kwok-Fai So Xiaoguang Li Department of Neurobiology School of Basic Medical SciencesCapital Medical University100069 BeijingChina School of Engineering Medicine Beijing Key Laboratory for Biomaterials and Neural RegenerationBeihang University100083 BeijingChina Beijing Tongren Eye Center Beijing Tongren HospitalCapital Medical UniversityBeijing Ophthalmology and Visual Sciences Key Laboratory100005 BeijingChina Department of Ophthalmology The Third Medical CenterChinese PLA General Hospital100089 BeijingChina Department of Ophthalmology Xijing HospitalThe Fourth Military Medical University710032 Xi’anShanxi ProvinceChina Guangdong-Hongkong-Macao Institute of CNS Regeneration Ministry of Education CNS Regeneration Collaborative Joint LaboratoryJinan University510632 GuangzhouGuangdong ProvinceChina Bioland Laboratory(Guangzhou Regenerative Medicine and Health Guangdong Laboratory) 510530 GuangzhouGuangdong ProvinceChina Department of Ophthalmology and State Key Laboratory of Brain and Cognitive Sciences The University of Hong Kong999077 Hong KongChina Center for Brain Science and Brain-Inspired Intelligence Guangdong-Hong Kong-Macao Greater Bay Area510515 GuangzhouGuangdong ProvinceChina Co-innovation Center of Neuroregeneration Nantong University226001 NantongJiangsu ProvinceChina Beijing International Cooperation Bases for Science and Technology on Biomaterials and Neural Regeneration Beijing Advanced Innovation Center for Big Data-Based Precision MedicineBeihang University100083 BeijingChina

Dear Editor,The optic nerve,which belongs to the central nervous system(CNS),cannot regenerate when injured in adult mammals.1 Up to now,no readily translatable measures are available for repairing a severely injured optic *** we demonstrated that ciliary neurotrophic factor(CNTF)-chitosan enabled the reconstruction and functional recovery of the adult rat visual system,thus shedding light on the clinical potential for repairing the severely injured optic nerve.

关键词： Regeneration functional CNTF

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A Multi-DOF Robot System Based on LightGBM-Driven EEG Decoding Model for BCI Human-Machine Interaction

A Multi-DOF Robot System Based on LightGBM-Driven EEG Decodi...

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Chinese Control Conference (CCC)

作者： Weidong Yan Zhaoliang Xu Yang Li The Department of Automation Science and Electrical Engineering Beihang University Beijing China The Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Advanced Institute of Information Technology Peking University Hangzhou China

In this study, a multi-degree-of-freedom (Multi-DOF) robot (MDR) system based on a LightGBM-driven electroencephalogram (EEG) decoding model is designed and developed to assist subjects with hand motor dysfunction in their daily activities and neurorehabilitation. The system mainly consists of a motor imagery electroencephalogram (MI-EEG) evoking layer, an intention decoding layer, and an interaction executive layer. The MI-EEG evoking layer initially displays a virtual reality (VR) motion imagination scenario, instructing the subjects to imagine a real hand gripping movement, simultaneously collecting the electrical EEG signals and preprocessing the EEG signals. Secondly, in the intention decoding layer, a network combining temporal-spectral feature fusion and LightGBM (TSFF-LightGBM) for MI-BCI classification is used to more effectively boost brain decoding accuracy and decrease decoding time. Finally, in the interaction executive layer, the Multi-DOF wearable robot is developed to offer hand grasp motion kinesthetic feedback and visual feedback synced with MI. The following are the key benefits of the proposed MDR system: (1) We propose a new lightweight network structure more suitable for brain computer interface (BCI) interaction systems, achieving more accurate decoding and shorter identification time in different data sets, which helps to improve the practicability of the system and promote the practical clinical application of BCI rehabilitation technology. (2) We integrate BCI, VR, a wearable Multi-DOF robot, motion kinesthetic feedback, and visual feedback to improve human-machine interaction. Compared to the most recent investigations, the average accuracy of the MDR system on the publicly accessible datasets BCI IV 2a and HGD reached 75.89% and 93.53%, respectively.

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The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth

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Environmental science and Ecotechnology 2025年第1期23卷 1-18页

作者： Jicheng Gong Zhicong Yin Yu Lei Xi Lu Qiang Zhang Cilan Cai Qimin Chai Huopo Chen Renjie Chen Wenhui Chen Jing Cheng Xiyuan Chi Hancheng Dai Zhanfeng Dong Guannan Geng Jianlin Hu Shan Hu Cunrui Huang Tiantian Li Wei Li Xiaomei Li Yongsheng Lin Jun Liu Jinghui Ma Yue Qin Weiqi Tang Dan Tong Jiaxing Wang Lijuan Wang Qian Wang Xuhui Wang Xuying Wang Libo Wu Rui Wu Qingyang Xiao Yang Xie Xiaolong Xu Tao Xue Haipeng Yu Da Zhang Li Zhang Ning Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Zengkai Zhang Hongyan Zhao Bo Zheng Yixuan Zheng Tong Zhu Huijun Wang Jinnan Wang Kebin He State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100041China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100041China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China School of Public Health Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of HealthFudan UniversityShanghai200032China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Department of Earth System Science University of CaliforniaIrvineIrvineCA92697USA National Meteorological Center China Meteorological AdministrationBeijing100081China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Institute of Eco-Environmental Management and Policy Chinese Academy of Environmental PlanningBeijing100041China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Contr

The response to climate change and air pollution control demonstrates strong synergy across scientific mechanisms,targets,strategies,and governance *** report,based on a monitoring indicator system for coordinated governance of air pollution and climate change,employs an interdisciplinary approach combining natural and social *** establishes 20 indicators across five key areas:air pollution and climate change,governance systems and practices,structural transformation and technologies,atmospheric components and emission reduction pathways,and health impacts and *** report tries to provide actionable insights into the interconnectedness of air pollution and climate *** highlights key policy gaps,presents updated indicators,and offers a refined monitoring framework to track progress toward China's dual goals of reducing emissions and improving air *** to previous editions,this year's report has updated four key indicators:meteorological impacts on air quality,climate change and its effects,governance policies,and low-carbon building energy *** aim is to further refine the monitoring framework,track progress,and establish a comprehensive theory for collaborative governance while identifying challenges and proposing solutions for China's pathway to carbon neutrality and clean *** report comprises six *** executive summary chapter is followed by analyzing air pollution and climate change *** systems and practices are discussed in the third chapter,focusing on policy implementation and local *** fourth chapter addresses structural transformations and emission reduction technologies,including energy and industrial shifts,transportation,low-carbon buildings,carbon capture and storage,and power *** fifth chapter outlines atmospheric component dynamics and emission pathways,presenting insights into emission drivers and future *** sixth chapter assesses he

关键词： Synergetic roadmap Carbon neutrality Clean air

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A Multi-Head Convolution Network with Attention Consistency for Facial Expression Recognition

A Multi-Head Convolution Network with Attention Consistency ...

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Chinese Control Conference (CCC)

作者： Wenkang Liu Mingyi Sun Yang Li the Department of Automation Science and Electrical Engineering Beihang University Beijing China the Beijing Advanced Innovation Center for Big Data and Brain Computing Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Advanced Institute of Information Technology Peking University Hangzhou China

In recent years, the demand for facial expression recognition applications has increased rapidly, and its research has received extensive attention from researchers. However, the current recognition methods based on deep learning ignore the idea of multiple head attention and semantic consistency, resulting in the model only paying attention to the local area of the feature map. In addition, the model's inconsistent attention to the images before and after the flip, resulting the poor robustness, poor interpretation, and other shortcomings in the model. To address the above problems, we propose an Affinity Separation Loss (ASLoss), which improves the separability of samples through clustering. Moreover, a Separate Multi-head Attention block (SMA), and a Zonal Loss (ZLoss) are also designed to decentralize the model's attention. Experimental results demonstrate that our proposed MACNet method achieves competitive recognition performance on two public datasets RAF-DB and FERPlus.

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Uplink Precoding Design for Cell-Free Massive MIMO With Iteratively Weighted MMSE

Uplink Precoding Design for Cell-Free Massive MIMO With Iter...

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作者： Wang, Zhe Zhang, Jiayi Ngo, Hien Quoc Ai, Bo Debbah, Merouane Frontiers Science Center for Smart High-Speed Railway System The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China Institute of Electronics Communications and Information Technology Queen’s University Belfast BelfastBT3 9DT United Kingdom State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis The Frontiers Science Center for Smart High-Speed Railway System Zhengzhou University Zhengzhou450001 China Peng Cheng Laboratory Research Center of Networks and Communications Shenzhen518066 China Technology Innovation Institute Abu Dhabi United Arab Emirates CentraleSupélec University Paris-Saclay Gif-sur-Yvette91192 France

In this paper, we investigate a cell-free massive multiple-input multiple-output system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study the uplink spectral efficiency (SE) for the fully centralized processing scheme and large-scale fading decoding (LSFD) scheme. To further improve the SE performance, we design the uplink precoding schemes based on the weighted sum SE maximization. Since the weighted sum SE maximization problem is not jointly over all optimization variables, two efficient uplink precoding schemes based on Iteratively Weighted sum-Minimum Mean Square Error (I-WMMSE) algorithms, which rely on the iterative minimization of weighted Mean Square Error (MSE), are proposed for two processing schemes investigated. Furthermore, with maximum ratio combining applied in the LSFD scheme, we derive novel closed-form achievable SE expressions and optimal precoding schemes. Numerical results validate the proposed results and show that the I-WMMSE precoding schemes can achieve excellent sum SE performance with a large number of UE antennas. © 1972-2012 IEEE.

关键词： MIMO systems

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Tasl-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video

SSRN

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SSRN 2024年

作者： Zhao, Chengqian Yao, Zhao Hu, Zhaoyu Xie, Yuanxin Zhang, Yafang Wang, Yuanyuan Li, Shuo Zhou, Jianhua Zhou, Jianqiao Wang, Yin Yu, Jinhua Center for Biomedical Engineering School of Information Science and Technology Fudan University Shanghai200438 China Department of Ultrasound Shanghai Pulmonary Hospital Tongji University School of Medicine Shanghai200433 China Department of Biomedical Engineering The Department of Computer and Data Science Case Western Reserve University ClevelandOH44106 United States Department of Ultrasound Sun Yat-Sen University Cancer Center State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangzhou510060 China Department of Ultrasound Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai200025 China

In the intelligent diagnosis of bimodal (gray-scale and contrast-enhanced) ultrasound videos, medical domain knowledge such as the way sonographers browse videos, the particular areas they emphasize, and the features they pay special attention to, plays a decisive role in facilitating precise diagnosis. Embedding medical knowledge into the deep learning network can not only enhance performance but also boost clinical confidence and reliability of the network. However, it is an intractable challenge to automatically focus on these person- and disease-specific features in videos and to enable networks to encode bimodal information comprehensively and efficiently. This paper proposes a novel Tri-Attention Selective Learning Network (TASL-Net) to tackle this challenge and automatically embed three types of diagnostic attention of sonographers into a mutual transformer framework for intelligent diagnosis of bimodal ultrasound videos. Firstly, a time-intensity-curve-based video selector is designed to mimic the temporal attention of sonographers, thus removing a large amount of redundant information while improving computational efficiency of TASL-Net. Then, to introduce the spatial attention of the sonographers for contrast-enhanced video analysis, we propose the earliest-enhanced position detector based on structural similarity variation, on which the TASL-Net is made to focus on the differences of perfusion variation inside and outside the lesion. Finally, by proposing a mutual encoding strategy that combines convolution and transformer, TASL-Net possesses bimodal attention to structure features on gray-scale videos and to perfusion variations on contrast-enhanced videos. These modules work collaboratively and contribute to superior performance. We conduct a detailed experimental validation of TASL-Net's performance on three datasets, including lung, breast, and liver, with a total of 791 cases. A comprehensive ablation experiment and comparison with five state-of-the-

关键词： Convolution

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TASL-Net: Tri-Attention Selective Learning Network for Intelligent Diagnosis of Bimodal Ultrasound Video

arXiv

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arXiv 2024年

关键词： Diagnosis

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Multi-Path Transmission of Real-Time Remote Sensing data via Heterogeneous LEO Inter-Satellite-Links

Multi-Path Transmission of Real-Time Remote Sensing Data via...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Binquan Guo Zehui Xiong Dusit Niyato Shiwen Mao Zhu Han Schocl of Telecommunication Engineering Xidian University Xi'an P. R. China Tianjin Artificial Intelligence Innovation Center (TAIIC) Tianjin P. R. China Pillar of ISTD Singapore University of Technology and Design Singapore College of Computing and Data Science Nanyang Technological University Singapore Department of Electrical and Computer Engineering Auburn University Auburn AL USA Department of Electrical and Computer Engineering University of Houston Houston TX USA

ISBN: (数字)9798350363999

ISBN: (纸本)9798350364002

Real-time transmission of remote sensing data is critical for many applications. The rapid enhancement in sensing capabilities has posed challenges in sending large volumes of collected information to users on the ground in a timely manner. Deployed with inter-satellite links (ISLs), low-earth-orbit mega-constellations can facilitate the relay of remote sensing data to ground stations. However, due to scarce spectrum resources, increasing data throughput remains a challenge. Towards this, we explore multi-path transmission of real-time remote sensing data via heterogeneous ISLs, with the aim of maximizing data transmission throughput. We formulate the problem of multi-path transmission via heterogeneous ISLs as a linear program-ming problem, and find that its complexity is exacerbated when dealing with large-scale satellite networks. Therefore, we present an alternative approach using graph theory, transforming the problem into a classical maximum flow problem. This approach ensures optimal resolution of the original problem within polynomial time. Simulations conducted on the Gaofen and Starlink constellation demonstrate the performance benefits of our approach regarding both time complexity and throughput.

关键词： Satellites Low earth orbit satellites Throughput Routing Real-time systems Polynomials Transceivers Sensors data communication Remote sensing

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