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微生物与宿主健康（英文） 2025年第3期3卷 132-145页

作者： Chao Su Juanhua He Yufeng Xie Yu Hu Xin Li Shitong Qiao Peipei Liu Min Huang Rong Zhang Liang Wang Zhen Chang Wenqiao Sun Ke Xu Jing Zhang Longxing Cao Pengcheng Han Xin Zhao Jianxun Qi Qihui Wang Mengsu Yang George Fu Gao Department of Biomedical Sciences City University of Hong KongHong KongChina CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijingChina Jiangsu Provincial Key Laboratory of Critical Care Medicine School of MedicineZhongda HospitalAdvanced Institute for Life and HealthSoutheast UniversityJiangsuChina CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijingChina Institute of Pediatrics Shenzhen Children's HospitalGuangdongChina CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijingChina Department of Basic Medical Sciences School of MedicineTsinghua UniversityBeijingChina CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijingChina School of Life Sciences Division of Life Sciences and MedicineUniversity of Science and Technology of ChinaAnhuiChina CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijingChina CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina NHC Key Laboratory of Biosafety National Institute for Viral Disease Control and PreventionChinese Center for Disease Control and PreventionBeijingChina CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyChinese Academy of SciencesBeijingChina State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources Guangxi UniversityGuangxiChina CAS Key Laboratory of Pathogen Microbiology and Immunology Institute of MicrobiologyCenter for Influenza Research and Early-warning(CASCIRE)CAS-TWAS Center of Excellence for Emerging Infectious Diseases(CEEID)Chinese Academy of SciencesBeijingChina Department of Pathogen Microbiology School o

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is continuously evolving since *** monoclonal antibodies(mAbs)have been developed and widely used,such as etesevimab(CB6)developed by Eli-Lilly/***-ever,the mAb escaped from the variant of concern(VOC)ever since the emergence of Beta VOC,with a complete loss of efficacy against the Omicron ***,we developed a broad-spectrum and affinity-mature antibody design(BAADesign)procedure to design CB6,enabling it to bind to the receptor-binding domains(RBDs)of multiple important Omicron subvariants,including the recent variant *** analysis confirmed the desired CB6-RBD ***,identical mutations in the complementarity determining regions(CDR)1 and CDR2 of the CB6 mu-tants also restored neutralizing potency for some RBD-1 group ***,the enhanced CB6 neutralizing ca-pacity makes it a promising candidate against SARS-CoV-2 infection,and the BAADesign method has implications for the design of other antibodies.

关键词： etesevimab(CB6) severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) receptor-binding domain(RBD) broad-spectrum and affinity-mature antibody design(BAADesign) antibody

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The Path Planning Algorithm for Uuv Based on the Fusion of Grid Obstacles of Artificial Potential Field

SSRN

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SSRN 2024年

作者： Sun, Mingxiao Xiao, Xiaotian Luan, Tiantian Zhang, Xiaoshuang Wu, Baoqi Zhen, Liqiang School of Automation Harbin University of Science and Technology No.52 Xuefu Road Nangang District Heilongjiang Province Harbin City150080 China Heilongjiang Provincial Key Laboratory of Complex Intelligent System and Integration Harbin University of Science and Technology No.52 Xuefu Road Nangang District Heilongjiang Province Harbin City150080 China Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology No.52 Xuefu Road Nangang District Heilongjiang Province Harbin City150080 China Jiangsu Automation Research Institution No. 18 Shenghu Road Haizhou District Jiangsu Province Lianyungang City222000 China

The artificial potential field approach (APFA) has the advantages of short computation time and easy implementation, widely used in path planning. The problems of local oscillation and susceptibility to local minima for APFA are considered in three dimensions (3D) path planning application of unmanned underwater vehicle (UUV), and the artificial potential field grid method (APFG) is proposed. Firstly, the obstacles are rasterized in 3D map. The repulsive points are attached to the surface of the raster to change the repulsive influence range. This method can compensate for the long planning path caused by the idealization of traditional APFA modeling. At the same time, the repulsion function on the grid surface is changed so that the potential field on the grid surface is parallel to the grid surface, which will solve the local oscillation problem in the path planning of UUV. Then, virtual target points are introduced to avoid the UUV falling into local optimization. The simulations show that APFG effectively overcomes the shortcomings of local oscillations and the tendency to fall into local minima for UUV in 3D path planning, and the path planning is smooth and efficient. © 2024, The Authors. All rights reserved.

关键词： Motion planning

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Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNN

arXiv

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arXiv 2023年

作者： Xu, Guoan Li, Juncheng Gao, Guangwei Lu, Huimin Yang, Jian Yue, Dong The Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing210023 China The Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China The School of Communication and Information Engineering Shanghai University Shanghai200444 China Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology Nanjing210049 China The Kyushu Institute of Technology Kitakyushu804-8550 Japan The School of Computer Science and Technology Nanjing University of Science and Technology Nanjing210049 China

In the past decade, convolutional neural networks (CNNs) have shown prominence for semantic segmentation. Although CNN models have very impressive performance, the ability to capture global representation is still insufficient, which results in suboptimal results. Recently, Transformer achieved huge success in NLP tasks, demonstrating its advantages in modeling long-range dependency. Recently, Transformer has also attracted tremendous attention from computer vision researchers who reformulate the image processing tasks as a sequence-to-sequence prediction but resulted in deteriorating local feature details. In this work, we propose a lightweight real-time semantic segmentation network called LETNet. LETNet combines a U-shaped CNN with Transformer effectively in a capsule embedding style to compensate for respective deficiencies. Meanwhile, the elaborately designed Lightweight Dilated Bottleneck (LDB) module and Feature Enhancement (FE) module cultivate a positive impact on training from scratch simultaneously. Extensive experiments performed on challenging datasets demonstrate that LETNet achieves superior performances in accuracy and efficiency balance. Specifically, It only contains 0.95M parameters and 13.6G FLOPs but yields 72.8% mIoU at 120 FPS on the Cityscapes test set and 70.5% mIoU at 250 FPS on the CamVid test dataset using a single RTX 3090 GPU. Source code will be available at https://***/IVIPLab/LETNet. Copyright © 2023, The Authors. All rights reserved.

关键词： Semantic Segmentation

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An Order of Magnitude Enhancement in Ductility of a Metallic Glass of Peak Rejuvenation

SSRN

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SSRN 2023年

作者： Yi, Jiaojiao Wang, Yihao Liu, Lisha Yang, Gongji Xu, Mingqin Ge, Honghao Kong, Lingti Tang, Chunguang Laboratory of Advanced Multicomponent Materials School of Mechanical Engineering Jiangsu University of Technology Changzhou213001 China School of Materials Science and Engineering Nanjing University of Science and Technology Nanjing Nanjing210094 China Hunan Provincial Key Laboratory of Advanced Materials for New Energy Storage and Conversion School of Materials Science and Engineering Hunan University of Science and Technology Xiangtan411201 China Institute of Laser Advanced Manufacturing Zhejiang University of Technology Hangzhou310014 China State Key Laboratory of Metal Matrix Composites School of Materials Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Research School of Chemistry The Australian National University Canberra020027 Australia

Exceptional ductility has been a long-sought-after property of metallic glasses, and cryogenic thermal cycling rejuvenation has been actively explored to enhance the plasticity of metallic *** tuning the holding time and number of cycles of cryogenic thermal cycling processing, we here report a (Zr0.8125Cu0.1875)79Ni10Al10Nb1 metallic glass of peak rejuvenation with the plasticity of an order of magnitude higher than that of the as-cast glass, without sacrificing its strength. Characterizations indicate that the loose atomic packing of the metallic glass of peak rejuvenation facilitates the generation and proliferation of shear bands in the early stage of plastic deformation, and the resultant dense shear bands tend to be deflected due to their interaction with each other and/or structural inhomogeneity in the matrix, hindering their rapid propagation and in turn increasing the *** combination of high relaxation enthalpy and high plasticity obtained here is outstanding from the previous rejuvenated metallic glasses which have either high relaxation enthalpy or high plasticity, while never both. This work identifies an alloy system with very high efficiency in plasticity improvement through cryogenic thermal cycling rejuvenation and represents a promising guide for improving the plasticity of metallic glasses. © 2023, The Authors. All rights reserved.

关键词： Metallic glass

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Light-induced giant enhancement of nonreciprocal transport at KTaO3-based interfaces

arXiv

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arXiv 2024年

作者： Zhang, Xu Zhu, Tongshuai Zhang, Shuai Chen, Zhongqiang Song, Anke Zhang, Chong Gao, Rongzheng Niu, Wei Chen, Yequan Fei, Fucong Tai, Yilin Li, Guoan Ge, Binghui Lou, Wenkai Shen, Jie Zhang, Haijun Chang, Kai Song, Fengqi Zhang, Rong Wang, Xuefeng Jiangsu Provincial Key Laboratory of Advanced Photonic and Electronic Materials State Key Laboratory of Spintronics Devices and Technologies School of Electronic Science and Engineering Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing210093 China National Laboratory of Solid State Microstructures School of Physics Nanjing University Nanjing210093 China Qingdao266580 China Information Materials and Intelligent Sensing Laboratory of Anhui Province Institutes of Physical Science and Information Technology Anhui University Hefei230601 China Beijing National Laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of Sciences Beijing100190 China State Key Laboratory for Superlattices and Microstructures Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Department of Physics Xiamen University Xiamen361005 China

Nonlinear transport is a unique functionality of noncentrosymmetric systems, which reflects profound physics, such as spin-orbit interaction, superconductivity and band geometry. However, it remains highly challenging to enhance the nonreciprocal transport for promising rectification devices. Here, we observe a light-induced giant enhancement of nonreciprocal transport at the superconducting and epitaxial CaZrO3/KTaO3 (111) interfaces. The nonreciprocal transport coefficient undergoes a giant increase with three orders of magnitude up to 105 A-1T-1. Furthermore, a strong Rashba spin-orbit coupling effective field of 14.7 T is achieved with abundant high-mobility photocarriers under ultraviolet illumination, which accounts for the giant enhancement of nonreciprocal transport coefficient. Our first-principles calculations further disclose the stronger Rashba spin-orbit coupling strength and the longer relaxation time in the photocarrier excitation process, bridging the light-property quantitative relationship. Our work provides an alternative pathway to boost nonreciprocal transport in noncentrosymmetric systems and facilitates the promising applications in opto-rectification devices and spin-orbitronic devices. © 2024, CC BY.

关键词： Photoelectricity

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Effect of C₄₄H₃₀N₄O₄ Surface Modification on the Performance of Al0.6Ga0.4N MSM Photodetectors

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IEEE Transactions on Electron Devices 2022年第8期69卷 4337-4341页

作者： Feng Xie Yuhang Li Yushen Liu Xifeng Yang Xiumei Zhang Guofeng Yang Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui University Hefei China Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology School of Science Jiangnan University Wuxi China Suzhou Key Laboratory of Advanced Lighting and Display Technologies School of Electronic and Information Engineering Changshu Institute of Technology Changshu China

The high defect density on the surface of AlGaN material with high Al composition limits its application in the field of solar-blind ultraviolet (UV) detection. In this work, a surface modification method for AlGaN has been proposed to enhance the performance of AlGaN metal–semiconductor–metal (MSM) solar-blind UV photodetectors (PDs). The 5,10,15,20-T(4-OH P)P (C 44 H 30 N 4 O 4 ) organic molecules are chemically adsorbed on the surface of high-Al-content Al 0.6 Ga 0.4 N MSM PD, which can reduce the interface potential caused by material defects and increase the photogenerated carriers of the device. Compared with the control unmodified PD, the C 44 H 30 N 4 O 4 modification method significantly increases the photocurrent and responsivity of the PD, which is beneficial to improve the optoelectronic performances of III-nitride-based PDs.

关键词： Wide band gap semiconductors Aluminum gallium nitride Surface morphology Surface topography Photoconductivity Gallium Optical surface waves

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Big data-oriented wheel position and geometry calculation for cutting tool groove manufacturing based on AI algorithms

Research Square

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Research Square 2021年

作者： Li, Guochao Liu, Zhigang Lu, Jie Zhou, Honggen Sun, Li School of Mechanical Engineering Jiangsu University of Science and Technology Zhenjiang212003 China Jiangsu Provincial Key Laboratory of Advanced Manufacturing for Marine Mechanical Equipment Jiangsu University of Science and Technology Zhenjiang212003 China

Groove is a key structure of high-performance integral cutting tools. It has to be manufactured by 5-axis grinding machine due to its complex spatial geometry and hard materials. The crucial manufacturing parameters (CMP) are grinding wheel positions and geometries. However, it is a challenging problem to solve the CMP for the designed groove. The traditional trial-and-error or analytical methods have defects such as time-consuming, limited-applying and low accuracy. In this study, the problem is translated into a multiple output regression model of groove manufacture (MORGM) based on the big data technology and AI algorithms. The input are 34 groove geometry features and the output are 5 CMP. Firstly, two groove machining big data sets with different range are established, each of which is includes 46656 records. They are used as data resource for MORGM. Secondly, 7 AI algorithms, including linear regression, k nearest-neighbor regression, decision trees, random forest regression, support vector regression and ANN algorithms are discussed to build the model. Then, 28 experiments are carried out to test the big data set and algorithms. Finally, the best MORGM is built by ANN algorithm and the big data set with a larger range. The results show that CMP can be calculated accurately and conveniently by the built MORGM. © 2021, CC BY.

关键词： Decision trees

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Interfacial Oxygen Vacancy-Copper Pair Sites on Inverse CeO2/Cu Catalyst Enable Efficient CO2 Electroreduction to Ethanol in Acid

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Angewandte Chemie - International Edition 2025年第13期64卷 e202424248页

作者： Qiao, Yan Shen, Shenyu Mao, Chenghui Xiao, Yongchun Lai, Wenchuan Wang, Yanan Zhong, Xingyu Lu, Yangfan Li, Jiong Ge, Jingjie Hsu, Hsien-Yi Su, Yaqiong Shao, Minhua Hu, Zheng Huang, Hongwen College of Materials Science and Engineering Hunan University Hunan Changsha410082 China for Industry-Education Integration of Energy Storage Technology Xi'an Jiaotong University Xian Shanxi710049 China Key Laboratory of Mesoscopic Chemistry of MOE and Jiangsu Provincial Laboratory for Nanotechnology School of Chemistry and Chemical Engineering Nanjing University Jiangsu Nanjing210023 China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai201210 China School of Materials Science and Engineering State Key Laboratory of Silicon and Advanced Semiconductor Materials Zhejiang University Zhejiang Hangzhou310027 China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic University Kowloon999077 Hong Kong City University of Hong Kong Kowloon999077 Hong Kong Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Kowloon999077 Hong Kong Shenzhen Research Institute of Hunan University Guangdong Shenzhen518055 China

Renewable electricity-driven electrochemical reduction of CO2 offers a promising route for the production of high-value ethanol. However, the current state of this technology is hindered by low selectivity and productivity, primarily due to a limited understanding of the atomic-level active sites involved in ethanol formation. Herein, we identify that the interfacial oxygen vacancy-neighboring Cu (Ov-Cu) pair sites are the active sites for CO2 electroreduction to ethanol. A linear correlation between the density of Ov-Cu pair sites and ethanol productivity is experimentally evidenced. Moreover, a high Faradaic efficiency of 48.5 % and a partial current density of 344.0 mA cm−2 for ethanol production are achieved over the inverse CeO2/Cu catalyst with a high density of Ov-Cu pair sites in acid. Mechanistic studies that combine density functional theory calculations and spectroscopic techniques propose an Ov-involved mechanism where interfacial Ov sites directly activate and dissociate CO2 into *CO in a thermodynamically spontaneous manner, thus favoring the subsequent *CHO formation and asymmetric CHO-CO coupling. Besides, the asymmetric Ov-Cu pair sites could preferentially stabilize the *CH2CHOH intermediate, resulting in the favorable formation of ethanol over ethylene. Our findings provide new atomic-level insights into CO2 electroreduction to ethanol, paving the way for the rational design of future catalysts. © 2025 Wiley-VCH GmbH.

关键词： Copper alloys

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Design, simulation and experimentation of a biomimetic wall-climbing robot with tracked spines

Design, simulation and experimentation of a biomimetic wall-...

引用

2020 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2020

作者： Shi, Jia Xu, Linsen Liu, Jinfu Cheng, Gaoxin Liang, Xingcan Liu, Lei Chen, Shouqi Xu, Hong Institute of Advanced Manufacturing Technology Hefei Institutes of Physical Science Cas University of Science and Technology of China Changzhou City Jiangsu Province China Institute of Advanced Manufacturing Technology Hefei Institutes of Physical Science Cas Key Laboratory of Biomimetic Sensing and Advanced Robot Technology Changzhou City Jiangsu Province China

ISBN: (数字)9781728198743

ISBN: (纸本)9781728198736

This paper presents a novel cooperative grasping wheeled wall-climbing robot with the ability to climb concrete, brick walls using tracked-spines arrays located around the track. The robot uses a combination of the crank-link mechanism and gear transmission to control the tracked spines on both sides of the robot to grasp the asperities. The kinematic and dynamic analysis of the crank-link mechanism and the simulation demonstrate that the motion state of the robot is stable in the climbing process. By means of wireless communication, the control information is transmitted to the main controller, which drives the motors to make each mechanism work together. Finally, the prototype is fabricated and several experiments are carried out to verify the climbing performance of the robot. © 2020 IEEE.

关键词： Biomimetics

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Anti-Parity-Time Symmetry in a Su-Schrieffer-Heeger Sonic Lattice

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Physical Review Letters 2023年第6期131卷 066601-066601页

作者： Bolun Hu Zhiwang Zhang Zichong Yue Danwei Liao Yimin Liu Haixiao Zhang Ying Cheng Xiaojun Liu Johan Christensen Department of Physics MOE Key Laboratory of Modern Acoustics Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China School of Science Jiangsu Provincial Research Center of Light Industrial Optoelectronic Engineering and Technology Jiangnan University Wuxi 214122 China College of Aerospace Engineering Chongqing University Chongqing 400044 China IMDEA Materials Institute Calle Eric Kandel 2 28906 Getafe Madrid Spain

The Su-Schrieffer-Heeger (SSH) model is an important cornerstone in modern condensed-matter topology, yet it is the simplest one-dimensional (1D) tight binding approach to dwell into the characteristics of spinless electrons in chains of staggered bonds. Moreover, the chiral symmetry assures that its surface-confining states pin to zero energy, i.e., they reside midgap in the energy dispersion. Symmetry is also an attribute related to artificial media that are subject to parity P and time-reversal T operations. This non-Hermitian family has been thoroughly nourished in a wave-based context, where anti-PT (APT) symmetric systems are the youngest belonging members, permitting refractionless optics, inverse PT-symmetry breaking transition, and asymmetric mode switching. Here, we report the first extension of APT symmetry in an acoustic setting by endowing a SSH lattice with gain and loss components. We show that the in-gap topological defect state hinges on the non-Hermitian phase, in that the broken symmetry suppresses it, yet when PT or APT symmetry is intact, it is observed with either damped or evanescent decay, respectively. Our experiments showcase how the non-Hermitian SSH lattice serves as a utile platform to investigate topological properties across various PT symmetric phases using sound.

关键词： Acoustic metamaterials Topological phase transition Metamaterials Topological materials

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