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IEEE International Conference on Mechatronics, Robotics and Automation (ICMRA)

作者： Yu Ming Yang Cheng Wang Chunchen Lv Meng Zhang Guang Chen Feng Institutc of Medical Support Technology Academy of Military Science Mechanical Engineering School Tianjin University Air Force Military Medical University State Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology Tianjin China

ISBN: (数字)9781728190327

ISBN: (纸本)9781728190334

As an essential part of medical training, assessment surgical skill is a time consuming, subjective, and complicated process. This paper adopted overall kinematic performance assessment method to identify the skill level of a subjective given motion data from three benchtop surgical tasks performed on robotic surgical devices. Firstly, we extracted global movement features by computing from the raw data of 39 (Suturing), 36 (Knot Tying) and 28 (Needle Passing) trials collected on da Vinci surgical system, respectively. Then, the discrimination ability of single feature with optimizing threshold were calculated. In following classification process, we applied support Vector Machine (SVM) to distinguish expert from novice on the basis of selected global movement features. The results showed that global movement features (GMFs) such as task completion time, velocity, and motion smoothness have superior discrimination ability between novice and expert performance for suturing, knot tying and needle passing task. SVM could classify surgeons' expertise as novice or expert with an accuracy of 77.99% for suturing, 83.71% for knot tying and 74.66% for needle passing, respectively. This study clearly demonstrated the ability of overall kinematic performance assessment method to distinguish between novice and expert performance in the performance of robotic surgical devices.

关键词： Performance evaluation Support vector machines Surgery Kinematics Needles Task analysis Robots

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A Fully Amorphous, Dynamic Cross-Linked Polymer Electrolyte for Lithium-Sulfur Batteries Operating at Subzero-Temperatures

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Angewandte Chemie 2023年第5期136卷

作者： Juan Zhang Jia Chou Xiao-Xi Luo Dr. Yi-Ming Yang Ming-Yan Yan Prof. Di Jia Chao-Hui Zhang Ya-Hui Wang Wen-Peng Wang Shuang-Jie Tan Jun-Chen Guo Prof. Yao Zhao Prof. Fuyi Wang Prof. Sen Xin Prof. Li-Jun Wan Prof. Yu-Guo Guo CAS Key Laboratory of Molecular Nanostructure and Nanotechnology CAS Research/Education Centre for Excellence in Molecular Sciences Beijing National Laboratory for Molecular Sciences (BNLMS) Institute of Chemistry Chinese Academy of Sciences (CAS) 100190 Beijing P. R. China Contribution: Conceptualization (supporting) Data curation (lead) Formal analysis (supporting) Funding acquisition (supporting) Investigation (equal) Methodology (lead) Visualization (lead) Writing - original draft (equal) Writing - review & editing (equal) Contribution: Data curation (equal) Formal analysis (supporting) Investigation (supporting) Methodology (supporting) Visualization (supporting) Writing - original draft (supporting) Contribution: Data curation (supporting) Key Laboratory of Science and Technology on High-tech Polymer Materials Institute of Chemistry Chinese Academy of Sciences 100190 Beijing P. R. China University of Chinese Academy of Sciences (UCAS) 100049 Beijing P. R. China Beijing National Laboratory for Molecular Sciences State Key Laboratory of Polymer Physics and Chemistry Institute of Chemistry Chinese Academy of Sciences 100190 Beijing P. R. China Contribution: Data curation (supporting) Visualization (supporting) Beijing National Laboratory for Molecular Sciences National Centre for Mass Spectrometry in Beijing CAS Key Laboratory of Analytical Chemistry for Living Biosystems Institute of Chemistry Chinese Academy of Sciences 100190 Beijing P. R. China Contribution: Conceptualization (supporting) Formal analysis (equal) Funding acquisition (supporting) Investigation (supporting) Supervision (equal) Validation (equal) Writing - review & editing (equal) Contribution: Investigation (supporting) Supervision (supporting) Validation (supporting) Contribution: Conceptualization (lead) Formal analysis (equal) Funding acquisition (lead) Investigation (equal) Project administration (lead) Resources (lead) Supervision (lead) Validation (equal) Writing - review & editi

Solid-state lithium-sulfur batteries have shown prospects as safe, high-energy electrochemical storage technology for powering regional electrified transportation. Owing to limited ion mobility in crystalline polymer electrolytes, the battery is incapable of operating at subzero temperature. Addition of liquid plasticizer into the polymer electrolyte improves the Li-ion conductivity yet sacrifices the mechanical strength and interfacial stability with both electrodes. In this work, we showed that by introducing a spherical hyperbranched solid polymer plasticizer into a Li + -conductive linear polymer matrix, an integrated dynamic cross-linked polymer network was built to maintain fully amorphous in a wide temperature range down to subzero. A quasi-solid polymer electrolyte with a solid mass content >90 % was prepared from the cross-linked polymer network, and demonstrated fast Li + conduction at a low temperature, high mechanical strength, and stable interfacial chemistry. As a result, solid-state lithium-sulfur batteries employing the new electrolyte delivered high reversible capacity and long cycle life at 25 °C, 0 °C and −10 °C to serve energy storage at complex environmental conditions.

关键词： Interface Stability Li−S Batteries Low-Temperature Performance Solid Electrolyte Interfaces Solid-State Batteries

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The role of clipping and burning in modulating soil organic carbon stability in karst ecosystems of southwest China: A stoichiometric analysis

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Journal of environmental management 2025年 388卷 126057页

作者： Ansa Rebi Guan Wang Irsa Ejaz Danbo Pang Adnan Mustafa Tao Yang Jasper Kanomanyanga Jinxing Zhou Jianshui Research Station School of Soil and Water Conservation Beijing Forestry University Beijing 100083 PR China State Key Laboratory of Efficient Production of Forestry Resources Beijing Forestry University Beijing 100083 PR China Engineering Research Centre of Forestry Ecological Engineering Ministry of Education Beijing Forestry University Beijing 100083 PR China. Department of Crop Science Division of Agronomy University of Göttingen Göttingen 37075 Germany. Breeding Base for State Key Laboratory of Land Degradation and Ecological Restoration in Northwest China Ministry of Education Key Laboratory for Restoration and Reconstruction of Degraded Ecosystem in Northwest China School of Ecology and Environment Ningxia University Yinchuan 750021 PR China. Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical Garden Chinese Academy of Sciences Guangzhou 510650 PR China. College of Biological Sciences and Technology Beijing Forestry University Beijing 100083 PR China. Lincoln Institute for Agri-Food Technology University of Lincoln Lincoln LN6 7TS United Kingdom NIAB Cambridge CB3 0LE United Kingdom. Engineering Research Centre of Forestry Ecological Engineering Ministry of Education Beijing Forestry University Beijing 100083 PR China. Electronic address: bjfuzjx@***.

Clipping and burning is a traditional land reclamation practice used in forest plantations commonly employed for site preparation and plant disease control. While effective in these roles, it can severely degrade soil mineral properties, soil nutrients, and microbial traits, affecting soil organic carbon (SOC) dynamics. However, its specific impacts on the physical fractions of SOC in the karst landscapes of southwest China is still largely unexplored. Understanding these impacts could offer valuable insights into enhancing SOC stability in such fragile ecosystems. This study intended to evaluate the putative regulatory mechanisms governing physical fractions and stability of SOC by analyzing the impact of five different "clipping and burning" management practices that include high-intensity fire (HIF), low-intensity fire (LIF), clipping and fire (CF), clipping (CP), and an unmanipulated control (CK). To better understand the general constraints of physical fractionation and SOC stability in the karst land, labile particulate organic carbon (POC) and stable mineral associated organic carbon (MAOC) were determined. Our findings suggest that both SOC and MAOC declined to (34 % and 49 %) under HIF relative to CK, while POC was increased by 20 % in CF. These results suggest that SOC and its fractions appear partially sensitive to clipping-and-burning. The MAOC:SOC ratios were significantly (p < 0.05) elevated in CF, with a value of 0.57, compared to all other treatments. While MAOC:POC ratio was reduced significantly (p < 0.05) compared to CK. The increased MAOC:SOC ratio in CF treatment suggests that clipping-and-burning enhances the stabilization of SOC, likely by promoting the formation of more stable MAOC, while microbial activity and enzyme activity were more pronounced under CP treatment, likely reflecting a shift toward microbial-driven decomposition of organic matter. Additionally, structural equation modeling (SEM) and the Random Forest (RF) model revealed that

关键词： Fire and clipping management Karst landscape SOC stability Soil microbes Soil minerals Soil nutrients

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Edge-centric functional network reveals new spatiotemporal biomarkers of early mild cognitive impairment

Brain‐X

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Brain‐X 2023年第3期1卷

作者： Weiping Wang Ruiying Du Zhen Wang Xiong Luo Haiyan Zhao Ping Luan Jipeng Ouyang Song Liu School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Shunde Graduate School Beijing University of Science and Technology Shunde Guangdong China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing China Contribution: Investigation Writing - original draft Writing - review & editing The Center for Optical Imagery Analysis and Learning and School of Mechanical Engineering Northwestern Polytechnical University Xi'an Shaanxi China Weiping Wang Zhen Wang and Haiyan Zhao. Contribution: Conceptualization Formal analysis Contribution: Formal analysis Supervision Department of Neurology Peking University Third Hospital Beijing China Contribution: Data curation Formal analysis Guangdong Second People's Hospital Guangzhou Guangdong China Department of Neurology Shunde Hospital Southern Medical University Shunde Guangdong China Contribution: Conceptualization Data curation Southeast Asia Project Manager Department of China Petroleum Pipeline Engineering Co. Ltd. Langfang Hebei China Contribution: Software Supervision

Most neuroimaging studies of the pathogenesis of early mild cognitive impairment (EMCI) rely on a node-centric network model, which only calculates correlations between brain regions. Considering the interaction of low-order correlations between pairs of brain regions, we use an edge-centric network model to study high-order functional network correlations. Here, we compute edge time series (eTS) to obtain overlapping communities and study the relationship between subnetworks and communities in space. Then, based on the overlapping communities, we calculate the normalized entropy to measure the diversity of each node. Next, we compute the high-amplitude co-fluctuation of the eTS to explore the pattern of brain activity with temporal precision. Our results show that the normal control and EMCI patients differ in brain regions, subnetworks, and the whole brain. In particular, entropy values show a gradual decrease, and brain network co-fluctuation increases with disease progression. Our study is the first to investigate the pathogenesis of EMCI from the perspective of spatiotemporal flexibility and cognitive diversity based on high-order edge connectivity, further characterizing brain dynamics and providing new insights into the search for biomarkers of EMCI.

关键词： co-fluctuation edge-centric functional flexibility overlapping community spatiotemporal

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Constraints on Heavy Decaying Dark Matter from 570 Days of LHAASO Observations

arXiv

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arXiv 2022年

作者： Cao, Zhen Aharonian, F. An, Q. Axikegu Bai, L.X. Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Cai, J.T. Cao, Zhe Chang, J. Chang, J.F. Chen, E.S. Chen, Liang Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, H.L. Cheng, N. Cheng, Y.D. Cui, S.W. Cui, X.H. Cui, Y.D. D'Ettorre Piazzoli, B. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu Della Volpe, D. Duan, K.K. Fan, J.H. Fan, Y.Z. Fan, Z.X. Fang, J. Fang, K. Feng, C.F. Feng, L. Feng, S.H. Feng, X.T. Feng, Y.L. Gao, B. Gao, C.D. Gao, L.Q. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, J.G. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. He, H.H. He, H.N. He, S.L. He, X.B. He, Y. Heller, M. Hor, Y.K. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S. Hu, S.C. Hu, X.J. Huang, D.H. Huang, W.H. Huang, X.T. Huang, X.Y. Huang, Y. Huang, Z.C. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, Z.J. Jin, M. Kang, M.M. Ke, T. Kuleshov, D. Levochkin, K. Li, B.B. Li, Cheng Li, Cong Li, F. Li, H.B. Li, H.C. Li, H.Y. Li, J. Li, Jian Li, Jie Li, K. Li, W.L. Li, X.R. Li, Xin Li, Y.Z. Li, Zhe Li, Zhuo Liang, E.W. Liang, Y.F. Lin, S.J. Liu, B. Liu, C. Liu, D. Liu, H. Liu, H.D. Liu, J. Liu, J.L. Liu, J.S. Liu, J.Y. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Long, W.J. Lu, R. Luo, Q. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Masood, A. Min, Z. Mitthumsiri, W. Nan, Y.C. Ou, Z.W. Pang, B.Y. Pattarakijwanich, P. Pei, Z.Y. Qi, M.Y. Qi, Y.Q. Qiao, B.Q. Qin, J.J. Ruffolo, D. Sáiz, A. Shao, C.Y. Shao, L. Shchegolev, O. Sheng, X.D. Shi, J.Y. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Sun, Q.N. Sun, X.N. Sun, Z.B. Tam, P.H.T. Tang, Z.B. Tian, W.W. Wang, B.D. Wang, C. Wang, H. Wang, H.G. Wang, J.C. Wang, J.S. Key Laboratory of Particle Astrophyics Experimental Physics Division Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China University of Chinese Academy of Sciences Beijing100049 China Tianfu Cosmic Ray Research Center Sichuan Chengdu China Dublin Institute for Advanced Studies 31 Fitzwilliam Place 2 Dublin Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 Heidelberg69029 Germany State Key Laboratory of Particle Detection and Electronics China University of Science and Technology of China Anhui Hefei230026 China School of Physical Science and Technology School of Information Science and Technology Southwest Jiaotong University Sichuan Chengdu610031 China College of Physics Sichuan University Sichuan Chengdu610065 China School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Ministry of Education Tibet Lhasa850000 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China Hebei Normal University Hebei Shijiazhuang050024 China Zhuhai519000 China Dipartimento di Fisica Dell'Università di Napoli 'Federico II' Complesso Universitario di Monte Sant'Angelo via Cinthia Napoli80126 Italy School of Physics and Astronomy Yunnan University Yunnan Kunming650091 China Département de Physique Nucléaire et Corpusculaire Faculté de Sciences Université de Genève 24 Quai Ernest Ansermet Geneva1211 Switzerland Institute of Frontier and Interdisciplinary Science Shandong University Shandong Qingdao266237 China Department of Engineering Physics Tsinghua University Beijing100084

The kilometer squarearray (KM2A) of the large high altitude air shower observatory (LHAASO) aims at surveying the northern γ-ray sky at energies above 10 TeV with unprecedented sensitivity. γ-ray observations have long been one of the most powerful tools for dark matter searches, as, e.g., high-energy γrays could be produced by the decays of heavy dark matter particles. In this Letter, we present the first dark matter analysis with LHAASO-KM2A, using the first 340 days of data from 1/2-KM2A and 230 days of data from 3/4-KM2A. Several regions of interest are used to search for a signal and account for the residual cosmic-ray background after γ/hadron separation. We find no excess of dark matter signals, and thus place some of the strongest γ-ray constraints on the lifetime of heavy dark matter particles with mass between 105and 109GeV. Our results with LHAASO are robust, and have important implications for dark matter interpretations of the diffuse astrophysical high-energy neutrino emission. © 2022, CC BY.

关键词： Gamma rays

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Monomeric and dimeric sesquiterpene lactones from Artemisia heptapotamica

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Chinese Journal of Natural Medicines 2019年第10期17卷 785-791页

作者： Zhamilya Abilova YUAN Jie Janar Jenis TANG Chun-Ping YE Yang University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Drug Research and Natural Products Chemistry DepartmentShanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201203China Research Center for Medicinal Plants Al-Farabi Kazakh National UniversityAI-Farabi ave.71050040 AlmatyRepublic of Kazakhstan School of Life Science and Technology Shanghailech UniversityShanghai 201210China

One new dimeric(1) and two monomeric sesquiterpene lactones(5 and 13), together with 10 known compounds(2-4, 6-12), were isolated from Artemisia heptapotamica collected in Almaty region of Kazakhstan. All compounds were isolated from this plant for the first time. The structures of the new compounds were mainly achieved by extensive analysis of MS, 1D and 2D NMR spectroscopic data, and ECD spectrum as well. The inhibitory activities of all isolates against activation of NF-κB induced by LPS were assessed on a THP1-Dual cell model. Some of them showed strong inhibitory activity with IC50 values ranging from 2 to 25μmol·L^-1.

关键词： Artemisia heptapotamica Artemisiane E Artemdubolide I Ajaniaolide B Sesquiterpene lactone Anti-inflammation

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QTG-Seq Accelerates QTL Fine Mapping through QTL Partitioning and Whole-Genome Sequencing of Bulked Segregant Samples

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Molecular Plant 2019年第3期12卷 426-437页

作者： Hongwei Zhang Xi Wang Qingchun Pan Pei Li Yunjun Liu Xiaoduo Lu Wanshun Zhong Minqi Li Linqian Han Juan Li Pingxi Wang Dongdong Li Yan Liu Qing Li Fang Yang Yuan-Ming Zhang Guoying Wang Lin Li 1nstitute of Crop Science Chinese Academy of Agricultural SciencesBeijing 100081China National Key Laboratory of Crop Genetic Improvement Crop Information CenterHuazhong Agricultural UniversityWuhan 430070China Crop Information Center College of Plant Science and TechnologyHuazhong Agricultural UniversityWuhan 430070China lnstitute of Molecular Breeding for Maize Qilu Normal UniversityJinan 250200China

Deciphering the genetic mechanisms underlying agronomic traits is of great importance for crop improvement. Most of these traits are controlled by multiple quantitative trait loci (QTLs), and identifying the underlying genes by conventional QTL fine-mapping is time-consuming and labor-intensive. Here, we devised a new method, named quantitative trait gene sequencing (QTG-seq), to accelerate QTL fine-mapping. QTGseq combines QTL partitioning to convert a quantitative trait into a near-qualitative trait, sequencing of bulked segregant pools from a large segregating population, and the use of a robust new algorithm for identifying candidate genes. Using QTG-seq, we fine-mapped a plant-height QTL in maize (Zea mays L.), qPH7, to a 300-kb genomic interval and verified that a gene encoding an NF-YC transcription factor was the functional gene. Functional analysis suggested that qPH7-encoding protein might influence plant height by interacting with a CO-like protein and an AP2 domain-containing protein. Selection footprint ana卜 ysis indicated that qPH7 was subject to strong selection during maize improvement. In summary, QTG-seq provides an efficient method for QTL fine-mapping in the era of “big data".

关键词： quantitative trait locus QTL QTL fine-mapping whole genome sequencing plant height

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A New Approach for Face Anti-Spoofing Using Handcrafted and Deep Network Features

A New Approach for Face Anti-Spoofing Using Handcrafted and ...

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2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019

作者： Das, Polash Kumar Hu, Bin Liu, Chang Cui, Kaixin Ranjan, Prabhat Xiong, Gang School of Electronic and Information Engineering South China University of Technology Guangzhou China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Science Beijing China College of Computer Science Sichuan University Chengdu China Cloud Computing Center Chinese Academy of Science Dongguan China

ISBN: (纸本)9781728128535

In biometrics, face recognition methods are achieving momentum with recent progress in the computer vision(CV). Face recognition is widely used in the identification of an individual's identity. Unfortunately, in recent research work has revealed this face biometrics system is unprotected to spoofing attacks using by very low price instrument such as printed 2D photos attack, 3D masking attack and taking videos using smart devices (reply attack). Therefore, a Liveness Attack Detection (LAD) approach is needed to improve the high-quality security of face recognition system. Most of the earlier worked LAD methods for face anti-spoofing methods have highlight on using the handcrafted features, which are developed by expert knowledge of researcher. As example Gabor filter, Histogram of Oriented Gradients, local ternary pattern, and the Local Binary Pattern. Because of that, the extracted features consider limited factors of the problem, yielding a capture accuracy that is very low and changes with the point of presentation in attack face images. The deep learning method has developed in the computer vision research community, which is proven to be suitable for automatically training. In this article, we approach to mix or combine the handcrafted features and deep neural network features to design the discriminant face spoofing detection. The handcrafted features were based on LBP analysis. We examine the features information from the brightness and the chrominance channels using LBP descriptor. In deep features, we present an approach based on pre-trained convolutional neural network VGG-16 model using static features to recognize video and printed(2D) photo attacks. By attaching this two types of image features on our dataset and public databases, we get good results to identify real and attack images feature, called hybrid features, which has better discrimination ability to understand spoofing image feature. © 2019 IEEE.

关键词： Local binary pattern

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In-ring velocity measurement for isochronous mass spectrometry

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Physical Review Accelerators and Beams 2021年第4期24卷 042802-042802页

作者： X. Zhou M. Zhang M. Wang Y. H. Zhang Y. J. Yuan X. L. Yan X. H. Zhou H. S. Xu X. C. Chen Y. M. Xing R. J. Chen X. Xu P. Shuai C. Y. Fu Q. Zeng M. Z. Sun H. F. Li Q. Wang T. Bao M. Si H. Y. Deng M. Z. Liu T. Liao J. Y. Shi Y. N. Song J. C. Yang W. W. Ge Yu. A. Litvinov S. A. Litvinov R. S. Sidhu T. Yamaguchi S. Omika K. Wakayama S. Suzuki T. Moriguchi CAS Key Laboratory of High Precision Nuclear Spectroscopy Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing 100049 China GSI Helmholtzzentrum für Schwerionenforschung Planckstraße 1 64291 Darmstadt Germany School of Physics Xi’an Jiaotong University Xi’an 710049 China School of Nuclear Science and Engineering East China University of Technology Nanchang 330013 China Université Paris-Saclay CNRS/IN2P3 IJCLab F-91405 Orsay France Department of Physics Saitama University Saitama 338-8570 Japan Institute of Physics University of Tsukuba Ibaraki 305-8571 Japan

Isochronous mass spectrometry based on heavy-ion storage rings is a powerful tool for direct mass measurements of very short-lived nuclei. Owing to the nature of in-flight separation of high-energy reaction products, many ion species with different mass-to-charge ratios (m/q) can be transmitted to and stored in the ring in one shot. However, high mass resolving power can be achieved only for a limited range of ion species with velocities well matching the isochronous condition of the ring. The knowledge of velocities of each stored ions is required to overcome this restriction. For this purpose, two time-of-flight (TOF) detectors were installed 18 m apart in one straight section of the cooler-storage ring CSRe in Lanzhou. The time sequences measured by the two TOF detectors for each stored ion were used for the precision determination of its velocity. A relative precision of the velocity is achieved to the level of 10−5 for individual ions. The betatron oscillations of the ion motion in the ring were clearly identified in the data and were taken into account in the analysis. The presented technique can be used for measurements of machine tunes and their dependence on particle momenta.

关键词： Storage rings Spectrometers & spectroscopic techniques

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Design and analysis of a High-gain High-power cascaded 220GHz FWGTWT

Design and Analysis of a High-gain High-power cascaded 220GH...

引用

International Conference on Vacuum Electronics

作者： Xiaochuan Zou Qianzhong Xue Xuewei Wang Key Laboratory of Science and Technology on High Power Microwave Sources and Tehchnologies Chinese Academy of Science Beijing China

A high-gain high-power cascaded folded-waveguide (FWG) traveling-wave tube (TWT) is designed. By analyzing dispersion and coupling impedance, some main structural dimensions are determined. An external attenuator with sever is designed to suppress reflection and how to load it is also discussed. The slow-wave structure and the focusing system of the electron optics system are optimized. Finally, the output power may reach 100.8W at 220GHz within a practical focusing magnetic field of 0.517T. The gain is 32.3dB. And the -3dB bandwidth is about 8GHz.

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