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Brain-wide N2cG compensation permits glycoprotein-deleted rabies virus to trace neural circuits across multiple synapses

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Journal of Innovative Optical Health Sciences 2023年第6期16卷 13-21页

作者： Nengsong Luo Zengpeng Han Jiaxin Kou Yuxiang Cai Xin Yang Jie Wang Kunzhang Lin Fuqiang Xu Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074P.R.China State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Key Laboratory of Magnetic Resonance in Biological SystemsWuhan Center for Magnetic ResonanceInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan430071P.R.China University of Chinese Academy of Sciences Beijing100049P.R.China Shenzhen Key Laboratory of Viral Vectors for Biomedicine Key Laboratory of Quality Control Technology for Virus-Based TherapeuticsGuangdong Provincial Medical Products AdministrationNMPA Key Laboratory for Research and Evaluation of Viral Vector Technology in Cell and Gene Therapy Medicinal Productsthe Brain Cognition and Brain Disease Institute(BCBDI)Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research InstitutionsShenzhen518055P.R.China Department of Pathophysiology Key Lab of Neurological Disorder of Education MinistrySchool of Basic MedicineTongji Medical CollegeHuazhong University of Science and TechnologyWuhanP.R.China Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions Shenzhen518055P.R.China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai200031P.R.China

Rabies-viruses-based retrograde tracers can spread across multiple synapses in a retrograde direction in the nervous system of rodents and primates,making them powerful tools for determining the structure and function of the complicated neural circuits of the ***,they have some limitations,such as posing high risks to human health and the inability to retrograde trans-synaptic label inputs from genetically-de¯ned starter ***,we established a new retrograde trans-multi-synaptic tracing method through brain-wide rabies virus glycoprotein(RVG)compensation,followed by glycoprotein-deleted rabies virus(RV-△G)infection in specific brain ***,in combination with the avian tumor virus receptor A(TVA)controlled by a cell-type-specific promoter,we found that EnvA-pseudotyped RV-△G can mediate e±cient retrograde trans-multi-synaptic transduction from cell-type-specific starter *** study provides new alternative methods for neuroscience researchers to analyze the input neural networks of rodents and nonhuman primates.

关键词： Rabies virus retrograde tracers trans-multi-synaptic tracing AAV-PHP.eB celltype-specific input neural networks

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Emergent chiral toplogical point gaps in a non-Hermitian quasiperiodic Su-Schrieffer-Heeger model

arXiv

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arXiv 2025年

作者： Liang, Zhi-Bin Li, Shan-Zhong Li, Runze Li, Zhi Key Laboratory of Atomic and Subatomic Structure and Quantum Control Ministry of Education Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter School of Physics South China Normal University Guangzhou510006 China Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials Guangdong-Hong Kong Joint Laboratory of Quantum Matter Frontier Research Institute for Physics South China Normal University Guangzhou510006 China Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement MOE School of Physics Beijing Institute of Technology Beijing100081 China Beijing Key Lab of Nanophotonics & Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing100081 China

We study a quasiperiodic Su-Schrieffer-Heeger lattice with staggered on-site gain-loss. The results reveal that on-site staggered gain-loss can effectively induce non-Hermitian topological gap without introducing imaginary phase. Further analysis exhibits that five different processes of topological phase transitions, including topological re-entrant phenomena, with the gain-loss intensity increasing. In addition, through the analysis of inverse participation ratios, normalized participation ratios, winding number and other indicators, we find that topological phase transitions occur synchronically with localized phase transitions. Finally, by investigating the properties of dual space eigenfunction, we reveal that the non-Hermitian topological point gaps predicted in this paper are chiral point gaps, which have a pair of skin modes along opposite directions simultaneously. Copyright © 2025, The Authors. All rights reserved.

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DV-Hop Localization Algorithm Based on Multi-communication Radius and Improved Archimedes Optimization Algorithm

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Science technology and Engineering 2024年第35期24卷 15145-15151页

作者： Huang, Zi-Chen Zhang, Lie-Ping Yin, Ya-Meng Tan, Ming-Yang Wang, Shou-Feng Key Laboratory of Advanced Manufacturing and Automation Technology Guilin University of Technology Education Department of Guangxi Zhuang Autonomous Region Guilin541006 China Guangxi Key Laboratory of Special Engineering Equipment and Control Guilin University of Aerospace Technology Guilin541004 China Department of Electrical and Electronic Engineering Nanning Branch of Guilin University of Technology Nanning532100 China

A DV-Hop localization algorithm based on multi-communication radius and improved Archimedes optimization algorithm was proposed to address the problem of significant deviation of unknown nodes between the estimated position and the actual position in traditional DV-Hop algorithm. Firstly, the method of multi-communication radius for anchor nodes was adopted to reduce the error of unknown nodes in selecting the minimum number of hops. Then, improvements were made to the three steps of the Archimedes algorithm to improve its performance. Finally, the unknown nodes’ coordinates were obtained using improved Archimedes algorithm. The experimental results show that the proposed algorithm has better localization performance in the same environment. © 2024 Beijing Kexue Jishu yu Gongcheng Zazhishe. All rights reserved.

关键词： Local search (optimization)

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Innovative Design Research on a Cable-Driven Humanoid Robotic Arm

Innovative Design Research on a Cable-Driven Humanoid Roboti...

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Automation, control and Robotics Engineering (CACRE), International Conference on

作者： Zhiyuan Wu Ye Huo Kangji Ma Yuanzeng Song Haiyan Sun Huaizhi Cao Zhufeng Shao Department of Mechanical Engineering State Key Laboratory of Tribology Tsinghua University Department of Mechanical Engineering Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipment and Control Tsinghua University Beijing China Northwestern Polytechnical University Shaanxi China Commercial Aircraft Corporation of China Ltd Shanghai China Chengdu-Chongqin Economic Circle (Luzhou) Advanced Technology Research Institute Luzhou Sichuan China

ISBN: (数字)9798350350302

ISBN: (纸本)9798350350319

The humanoid robotic arm aims to achieve multi-dimensional comprehensive similarity with the human arm in kinematics, dynamics, and physiological structure, in order to enhance human-robot collaboration capabilities and skill learning efficiency, and to realize the in-situ replacement of manual operations, holding broad application prospects. In response to the demands of human-robot interaction and unstructured environment perception, this paper, based on the analysis of the human skeletal structure and muscle driving characteristics, and considering the enveloping effect of ligaments and driving muscles on human joints, proposes a joint configuration driven by cables arranged along a spherical surface, completing the configuration design of the cable-driven humanoid robotic arm. Using spherical projection, the kinematic modeling of each joint of the cable-driven humanoid robotic arm is completed, and the kinematic performance, including workspace, is verified. The shoulder joint can achieve an inclination angle of at least 108° in any direction, with a spin angle range of at least 180°; the elbow joint has a movable range of 133°; the wrist joint can achieve an inclination angle of at least 49.5° in any direction, with a spin angle range of at least 180°, which is similar to the workspace of the human arm.

关键词： Wrist Technological innovation Humanoid robots Shoulder Kinematics Arms Muscles

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A Temperature-Decoupled Impedance-Based Mass Sensing Using Cbam-Cnn and Adaptive Weighted Average Preprocessing with High Accuracy

SSRN

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SSRN 2023年

作者： Yan, Yunan Liu, Zhikang Xu, Jiawen Zhang, Hong Guo, Ning Zhao, Liye Yan, Ruqiang Jiangsu Key Lab of Remote Measurement and Control School of Instrument Science and Engineering Southeast University Jiangsu Nanjing210096 China Science and Technology on Vacuum Technology and Physics Laboratory Lanzhou Institute of Physics Lanzhou730010 China Key Laboratory of Micro-Inertial Instruments and Advanced Navigation Technology Ministry of Education School of Instrument Science and Engineering Southeast University Nanjing210096 China International Machinery Center School of Mechanical Engineering Xi’an Jiaotong University Shaanxi 710049 China

Microcantilevers are widely adopted in various fields for micro-mass sensing due to their simple structure and high sensitivity. The conventional microcantilever-based measurement methods required ultra-precision temperature control. However, such a requirement could hardly be satisfied and the temperature shifting would deteriorate the accuracy of mass sensing. In this research, a new temperature decoupling method for mass sensing is proposed by taking advantage of the relative relationship of the peaks in the impedance signals. Besides, a CBAM-CNN network with an adaptive weighted average preprocessing method is developed for the evaluation of the relative relationship of the peaks. This method can enhance the features of the impedance signal and highlight critical information with limited samples. Experiments showed that robust mass sensing with accuracy up to 99.70% can be achieved over a wide temperature range from 25 to 55 °C. In addition, the performance of the proposed network was compared to SVM, DNN, and CNN. This method offers a new mechanism for eliminating the influences of temperatures for precision cantilever-based mass sensing. © 2023, The Authors. All rights reserved.

关键词： Statistical methods

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Doping-induced metal–N active sites and bandgap engineering in graphitic carbon nitride for enhancing photocatalytic H_(2 )evolution performance

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Chinese Journal of Catalysis 2022年第2期43卷 421-432页

作者： Xiaohui Yu Haiwei Su Jianping Zou Qinqin Liu Lele Wang Hua Tang Engineering Institute of Advanced Manufacturing and Modern Equipment Technology Jiangsu UniversityZhenjiang 212013JiangsuChina Key Laboratory of Jiangxi Province for Persistent Pollutants Control and Resources Recycle Nanchang Hangkong UniversityNanchang 330063JiangxiChina School of Materials Science and Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina School of Environmental Science and Engineering Qingdao UniversityQingdao 266071ShandongChina

Durable and inexpensive graphitic carbon nitride(g-C_(3)N_(4))demonstrates great potential for achieving efficient photocatalytic hydrogen evolution reduction(HER).To further improve its activity,g-C_(3)N_(4)was subjected to atomic-level structural engineering by doping with transition metals(M=Fe,Co,or Ni),which simultaneously induced the formation of metal-N active sites in the g-C_(3)N_(4)framework and modulated the bandgap of g-C_(3)N_(4).Experiments and density functional theory calculations further verified that the as-formed metal-N bonds in M-doped g-C_(3)N_(4)acted as an"electron transfer bridge",where the migration of photo-generated electrons along the bridge enhanced the efficiency of separation of the photogenerated charges,and the optimized bandgap of g-C_(3)N_(4)afforded stronger reduction ability and wider light *** a result,doping with either Fe,Co,or Ni had a positive effect on the HER activity,where Co-doped g-C_(3)N_(4)exhibited the highest *** findings illustrate that this atomic-level structural engineering could efficiently improve the HER activity and inspire the design of powerful photocatalysts.

关键词： g-C_(3)N_(4) Photocatalytic H_(2)generation Metal-N active sites Transition metal doping Band gap engineering

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UKF-Based Multi-sensor Data Processing Algorithm for SLAM

UKF-Based Multi-sensor Data Processing Algorithm for SLAM

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IEEE International Conference on control Science and Systems Engineering (CCSSE)

作者： Kun Xu Boheng Zhang Jiangang Li Guizhong Wang Mingjian Sun School of Information Science and Engineering Harbin Institute of Technology Weihai Weihai China Department of Control Science and Engineering Harbin Institute of Technology Harbin China Woan Technology (Shenzhen) Co. Ltd. Shenzhen China Hebei Key Laboratory of Grid Advanced Measurement and Monitor Jinyanhagong Industrial Technology Research Institute Zhangjiakou China School of Information Science and Engineering Harbin Institute of Technology Harbin China

Simultaneous localization and mapping (SLAM) algorithm is widely used in unmanned and robotic applications. SLAM usually uses sensor data, which are from the LiDAR, the inertial measurement unit (IMU) and the wheeled odometry, to build maps of the surrounding environment. However, the motion distortion of LiDAR data and the error accumulation of wheeled odometry can affect the accuracy of the front-end odometry of the SLAM algorithm, which can lead to serious errors in the maps created. Therefore, in order to solve the problem of poor map construction results of SLAM algorithm due to various types of sensor errors. we propose the traceless Kalman filtering based (UKF-based) multi-sensor data processing algorithm. Firstly, the proposed algorithm uses the UKF to fuse IMU and wheeled odometry data to reduce the cumulative error of wheeled odometry. And then the algorithm uses IMU and corrected wheeled odometry data and combines with the motion states of the robot to solve the motion distortion problem of LiDAR data. Finally, we verified the effectiveness of the proposed algorithm for wheeled odometry data correction in Gazebo simulation environment and real environment experiments, and compared the mapping effectiveness of SLAM by using the original data and the data processed by our algorithm. The experimental results show that the map construction effect of SLAM algorithm is significantly improved when using the sensor data processed by the algorithm. Experimental validation on the robot shows that the proposed algorithm has universal applicability and good compatibility.

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Tailoring grain growth and solid solution strengthening of single-phase CrCoNi medium-entropy alloys by solute selection

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Journal of Materials Science & technology 2020年第19期54卷 196-205页

作者： G.W.Hu L.C.Zeng H.Du X.W.Liu Y.Wu P.Gong Z.T.Fan Q.Hu E.P.George Key Laboratory of Metallurgical Equipment and Control Technology Ministry of EducationWuhan University of Science and TechnologyWuhan 430081China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and TechnologyWuhan 430081China State Key Laboratory of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory for Advanced Metals and Materials University of Science and Technology BeijingBeijing 100083China Institute of Applied Physics Jiangxi Academy of SciencesNanchang 330029China Oak Ridge National Laboratory Materials Science and Technology DivisionOak RidgeTN37831USA Department of Materials Science and Engineering University of TennesseeKnoxvilleTN37996USA

In the present study,we selected solutes to be added to the Cr Co Ni medium-entropy alloy(MEA)based on the mismatch of self-diffusion activation energy(SDQ)between the alloying elements and constituent elements of the matrix,and then investigated their grain growth behavior and mechanical *** and Al were selected as the solutes for investigation primarily because they have higher and lower SDQ,respectively,than those of the matrix elements;a secondary factor was their higher and lower shear *** concentrations were fixed at 3 at.%each because previous work had shown these compositions to be single-phase solid solutions with the face-centered cubic *** alloys were produced by arc melting,casting,homogenizing,cold rolling and annealing at various temperatures and times to produce samples with different grain *** were(a)the base alloy Cr Co Ni,(b)the base alloy plus 3 at.%Mo,and(c)the base alloy plus 3 at.%*** activation energies for grain growth of the Cr Co Ni,Cr Co Ni-3Mo and CrCo Ni-3Al MEAs were found to be^251,~368 and^219 k J/mol,respectively,consistent with the notion that elements with higher SDQ(in this study Mo)retard grain growth(likely by a solute-drag effect),whereas those with lower values(Al)accelerate grain *** roomtemperature tensile properties show that Mo increases the yield strength by^40%but Al addition has a smaller strengthening effect consistent with their relative shear *** yield strength as a function of grain size for the three single-phase MEAs follows the classical Hall-Petch relationship with much higher slopes(>600 MPaμm-0.5)than traditional solid *** work shows that the grain growth kinetics and solid solution strengthening of the Cr Co Ni MEA can be tuned by selecting solute elements that have appropriate diffusion and physical properties.

关键词： Medium and high entropy alloys Solute-drag effect Microstructure Grain growth kinetics Solid solution strengthening

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Investigation on the normal force in cluster magnetorheological-porous foam finishing process

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Tribology International 2021年 157卷 106911-106911页

作者： Xu, Jinhuan Li, Jianyong Liu, Yueming School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China Key Laboratory of Vehicle Advanced Manufacturing Measuring and Control Technology Ministry of Education Beijing100044 China

The fluid flow in cluster magnetorheological-porous foam finishing method (CMRFF) was studied for planner finishing in this study. A normal force model composed by magnetic and hydrodynamic force was established for CMRFF. The normal force is generated by the integral of pressure distribution on workpiece surface and the average relative error between theoretical and experimental results is less than 5.737%. CMRFF can achieve much higher normal force compared with traditional cluster magnetorheological finishing method (CMRF). In the finishing processes of silicon wafer, the surface roughness reduced from 49.66 nm to 16.991 nm in CMRFF in 45 min, compared with 50.559 nm–22.891 nm in CMRF, which indicates the effectiveness of CMRFF in improving surface finishing rate and quality. © 2021 Elsevier Ltd

关键词： Silicon wafers

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CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models

CoF: Coarse to Fine-Grained Image Understanding for Multi-mo...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yeyuan Wang Dehong Gao Bin Li Rujiao Long Lei Yi Xiaoyan Cai Libin Yang Jinxia Zhang Shanqing Yu Qi Xuan School of Automation Northwestern Polytechnical University Xi’an China School of Cybersecurity Northwestern Polytechnical University Xi’an China Alibaba Group Hangzhou China The Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing China Advanced Ocean Institute of Southeast University Nantong China Zhejiang University of Technology Hangzhou China Binjiang Institute of Artificial Intelligence Hangzhou China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

The impressive performance of Large Language Model (LLM) has prompted researchers to develop Multi-modal LLM (MLLM), which has shown great potential for various multi-modal tasks. However, current MLLM often struggles to effectively address fine-grained multi-modal challenges. We argue that this limitation is closely linked to the models’ visual grounding capabilities. The restricted spatial awareness and perceptual acuity of visual encoders frequently lead to interference from irrelevant background information in images, causing the models to overlook subtle but crucial details. As a result, achieving fine-grained regional visual comprehension becomes difficult. In this paper, we break down multi-modal understanding into two stages, from Coarse to Fine (CoF). In the first stage, we prompt the MLLM to locate the approximate area of the answer. In the second stage, we further enhance the model’s focus on relevant areas within the image through visual prompt engineering, adjusting attention weights of pertinent regions. This, in turn, improves both visual grounding and overall performance in downstream tasks. Our experiments show that this approach significantly boosts the performance of baseline models, demonstrating notable generalization and effectiveness. Our CoF approach is available online at https://***/Gavin001201/CoF.

关键词： Location awareness Visualization Image recognition Grounding Large language models Interference Signal processing Prompt engineering Speech processing Visual perception

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