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Anisotropy and polarization of x-ray line emissions in the dielectronic recombination of hydrogenlike Fe25+ ions

Physical Review A 2021年第2期104卷 022809-022809页

作者： Zhihao Yang Junwen Gao Wenmin Yan Ke Yao Jiamin Yang Zhongwen Wu Zhimin Hu Key Laboratory of Radiation Physics and Technology of Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu 610064 China Laser Fusion Research Center China Academy of Engineering Physics Mianyang 621900 China Institute of Atomic and Molecular Physics Jilin University Changchun 130012 China Shanghai EBIT Laboratory Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-Beam Application (MOE) Fudan University Shanghai 200433 China Key Laboratory of Atomic and Molecular Physics and Functional Materials of Gansu Province College of Physics and Electronic Engineering Northwest Normal University Lanzhou 730070 China

We present a systematic study of the anisotropy and polarization of x-ray line emissions in KLL dielectronic recombination of hydrogenlike Fe25+ ions. For the KLL dielectronic recombination considered, it consists of a resonant electron capture plus a two-step radiative decay. While the anisotropy and polarization of the first-step decay photons are calculated by using the flexible atomic code, those of the second-step decay photons are obtained with two methods, i.e., the formalism of the deorientation factor and density matrix theory. Resonance strengths are presented as well to synthesize the dielectronic satellite line spectra. The synthetic spectra including the correction of anisotropy and polarization effects show better agreement with existing experiments than previous calculations. This indicates that these effects are important for the intensity distribution of the dielectronic satellite lines.

关键词： Electronic excitation & ionization

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An Intelligent Wireless Displacement Sensor for Landslide Monitoring and Early Warning

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IOP Conference Series: Earth and Environmental Science 2021年第7期861卷

作者： Xing Zhu Hewei Xi Zhaoqing He Liu Yang State Key Laboratory Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Chengdu 610059 China College of Computer Science and Cyber Security Chengdu Univeristy of Technology Chengdu 610059 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu 610059 China

Landslide poses a great threat to the safety of local communities, engineering construction and operation. Accurate monitoring and successful early-warning of rapid landslides using conventional techniques with constant and sparse sampling strategy remains a challenge in geo-disaster research and mitigation. Sampling and uploading all sensor data to cloud imposes huge burden on the power supply and radio bandwidth, which greatly reduces the long-term stability and robustness of the wireless sensor in field. With aim to achieve the best powerful sensing ability based on limited power and bandwidth of sensor, we proposed a low-cost and energy efficient wireless crack-meter sensor integrated with intelligent computing architecture for rapid deformation monitoring. A self-adaptive data sampling and uploading algorithm based on the variation of objective physical value was implemented in the embedded microcontroller of sensor node, and only the valuable information derived from sensor data to the cloud server. Experimental results demonstrated that the intelligent sensing approach can effectively collect the crucial data at a high frequency during accelerating deformation of landslide, while only update status at several hours during non-deformation phase. Several landslide monitoring applications have proved that this intelligent sensing can significantly and effectively enhance the success rate and real-time performance of early-warning for rapid landslide.

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Search for Light Fermionic Dark Matter Absorption on Electrons in PandaX-4T

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Physical Review Letters 2022年第16期129卷 161804-161804页

作者： Dan Zhang Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Zhaokan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Linhui Gu Xuyuan Guo Ke Han Changda He Jinrong He Di Huang Yanlin Huang Zhou Huang Ruquan Hou Xiangdong Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shu Li Shuaijie Li Qing Lin Jianglai Liu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yajun Mao Nasir Shaheed Yue Meng Xuyang Ning Ningchun Qi Zhicheng Qian Xiangxiang Ren Changsong Shang Xiaofeng Shang Guofang Shen Lin Si Wenliang Sun Andi Tan Yi Tao Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Yuehuan Wei Mengmeng Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Xiyu Yan Jijun Yang Yong Yang Chunxu Yu Jumin Yuan Ying Yuan Xinning Zeng Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Yuanyuan Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou Yong Zhou Yubo Zhou Shao-Feng Ge Xiao-Gang He Xiao-Dong Ma Jie Sheng Department of Physics University of Maryland College Park Maryland 20742 USA School of Physics and Astronomy Shanghai Jiao Tong University Key Laboratory for Particle Astrophysics and Cosmology (MoE) Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai 200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu 610051 China School of Physics Sun Yat-Sen University Guangzhou 510275 China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai 519082 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China School of Physics Nankai University Tianjin 300071 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China School of Physics Peking University Beijing 100871 China School of Physics Beihang University Beijing 102206 China International Research Center for Nuclei and Particles in the Cosmos and Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing 100191 China School of Physics and Microelectronics Zhengzhou University Zhengzhou Henan 450001 China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai 200093 China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei 230026 China Department of Modern Physics University of Science and Technology of China Hefei 230026 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Scienc Shandong University Qingdao 266237 Shandong China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Qingdao 266237 Shandong China SJTU Par

We report a search on sub-MeV fermionic dark matter absorbed by electrons with an outgoing active neutrino using the 0.63 tonne year exposure collected by the PandaX-4T liquid xenon experiment. No significant signals are observed over the expected background. The data are interpreted into limits to the effective couplings between such dark matter and the electron. For axial-vector or vector interactions, our sensitivity is competitive in comparison to existing astrophysical bounds on the decay of such a dark matter candidate into photon final states. In particular, we present the first direct detection limits for a vector (axial-vector) interaction which are the strongest in the mass range from 35 to 55 (25 to 45) keV/c2 in comparison to other astrophysical and cosmological constraints.

关键词： Effective field theory Fermions Particle dark matter Dark matter detectors Multi-purpose particle detectors

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First Search for the Absorption of Fermionic Dark Matter with the PandaX-4T Experiment

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Physical Review Letters 2022年第16期129卷 161803-161803页

作者： Linhui Gu Abdusalam Abdukerim Zihao Bo Wei Chen Xun Chen Yunhua Chen Chen Cheng Yunshan Cheng Zhaokan Cheng Xiangyi Cui Yingjie Fan Deqing Fang Changbo Fu Mengting Fu Lisheng Geng Karl Giboni Xuyuan Guo Ke Han Changda He Jinrong He Di Huang Yanlin Huang Zhou Huang Ruquan Hou Xiangdong Ji Yonglin Ju Chenxiang Li Jiafu Li Mingchuan Li Shu Li Shuaijie Li Qing Lin Jianglai Liu Xiaoying Lu Lingyin Luo Yunyang Luo Wenbo Ma Yugang Ma Yajun Mao Nasir Shaheed Yue Meng Xuyang Ning Ningchun Qi Zhicheng Qian Xiangxiang Ren Changsong Shang Xiaofeng Shang Guofang Shen Lin Si Wenliang Sun Andi Tan Yi Tao Anqing Wang Meng Wang Qiuhong Wang Shaobo Wang Siguang Wang Wei Wang Xiuli Wang Zhou Wang Yuehuan Wei Mengmeng Wu Weihao Wu Jingkai Xia Mengjiao Xiao Xiang Xiao Pengwei Xie Binbin Yan Xiyu Yan Jijun Yang Yong Yang Yukun Yao Chunxu Yu Jumin Yuan Ying Yuan Xinning Zeng Dan Zhang Minzhen Zhang Peng Zhang Shibo Zhang Shu Zhang Tao Zhang Yuanyuan Zhang Li Zhao Qibin Zheng Jifang Zhou Ning Zhou Xiaopeng Zhou Yong Zhou Yubo Zhou School of Physics and Astronomy Shanghai Jiao Tong University Key Laboratory for Particle Astrophysics and Cosmology (MoE) Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai 200240 China Shanghai Jiao Tong University Sichuan Research Institute Chengdu 610213 China Yalong River Hydropower Development Company Ltd. 288 Shuanglin Road Chengdu 610051 China School of Physics Sun Yat-Sen University Guangzhou 510275 China Research Center for Particle Science and Technology Institute of Frontier and Interdisciplinary Science Shandong University Qingdao 266237 Shandong China Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education Shandong University Qingdao 266237 Shandong China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai 519082 China Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China School of Physics Nankai University Tianjin 300071 China Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai 200433 China School of Physics Peking University Beijing 100871 China School of Physics Beihang University Beijing 102206 China International Research Center for Nuclei and Particles in the Cosmos and Beijing Key Laboratory of Advanced Nuclear Materials and Physics Beihang University Beijing 100191 China School of Physics and Microelectronics Zhengzhou University Zhengzhou Henan 450001 China School of Medical Instrument and Food Engineering University of Shanghai for Science and Technology Shanghai 200093 China Department of Physics University of Maryland College Park Maryland 20742 USA School of Mechanical Engineering Shanghai Jiao Tong University Shanghai 200240 China State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Hefei 230026 China Department of Modern Physics University of Science and Technology of China Hefei 230026 China SJTU Pa

Compared with the signature of dark matter elastic scattering off nuclei, the absorption of fermionic dark matter by nuclei opens up a new searching channel for light dark matter with a characteristic monoenergetic signal. In this Letter, we explore the 95.0-day data from the PandaX-4T commissioning run and report the first dedicated searching results of the fermionic dark matter absorption signal through a neutral current process. No significant signal was found, and the lowest limit on the dark matter-nucleon interaction cross section is set to be 1.5×10−50 cm2 for a fermionic dark matter mass of 40 MeV/c2 with 90% confidence level.

关键词： Particle dark matter Dark matter detectors

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The impact of codoping on the near-infrared scintillation emissions of Er3+-doped gadolinium tellurite glass

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Ceramics International 2025年

作者： Sui, Zexuan Liu, Chuang Zheng, Xiaoxin Han, Jifeng Qian, Sen Song, Yushou Sun, Xinyuan Wang, Bing Zhao, Yiran Ren, Jing Key Lab of In-fiber Integrated Optics Ministry Education of China Harbin Engineering University Harbin150001 China Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Key Laboratory of Radiation Physics and Technology of the Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610065 China College of Nuclear Science and Technology Harbin Engineering University Harbin150001 China Department of Physics Jinggangshan University Ji'an343009 China Zolix Instruments Co. Ltd Beijing101102 China

The near-infrared (NIR) glass scintillators have garnered increasing attention in the field of long-distance non-contact radiation detections due to their unique advantages, including immunity to radiation damages and compatibility with optical fiber systems. Nevertheless, the studies on the NIR scintillation mechanisms of such glasses are scarce, especially concerning the impact of rare earth ion co-doping on the scintillation properties. Here, the physical properties, optical characteristics, and scintillation performance were investigated of a series of TeO2-BaO-GdF3 gadolinium tellurite glasses co-doped with Er3+/Yb3+. It is noted that the well-established strategy for NIR photoluminescence enhancement via energy transfer sensitization was not applied to radioluminescence (under the X-rays excitation). The possible mechanism for such an important distinction was discussed. This study is expected to provide the theoretical guidance for enhancing or avoiding quenching of scintillation performance. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Scintillation counters

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Direct Measurement of the Astrophysical F19(p,αγ)O16 Reaction in the Deepest Operational Underground Laboratory

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Physical Review Letters 2021年第15期127卷 152702-152702页

作者： L. Y. Zhang J. Su J. J. He M. Wiescher R. J. deBoer D. Kahl Y. J. Chen X. Y. Li J. G. Wang L. Zhang F. Q. Cao H. Zhang Z. C. Zhang T. Y. Jiao Y. D. Sheng L. H. Wang L. Y. Song X. Z. Jiang Z. M. Li E. T. Li S. Wang G. Lian Z. H. Li X. D. Tang H. W. Zhao L. T. Sun Q. Wu J. Q. Li B. Q. Cui L. H. Chen R. G. Ma B. Guo S. W. Xu J. Y. Li N. C. Qi W. L. Sun X. Y. Guo P. Zhang Y. H. Chen Y. Zhou J. F. Zhou J. R. He C. S. Shang M. C. Li X. H. Zhou Y. H. Zhang F. S. Zhang Z. G. Hu H. S. Xu J. P. Chen W. P. Liu Key Laboratory of Beam Technology and Material Modification of Ministry of Education College of Nuclear Science and Technology Beijing Normal University Beijing 100875 China Department of Physics and The Joint Institute for Nuclear Astrophysics University of Notre Dame Notre Dame Indiana 46556 USA Extreme Light Infrastructure—Nuclear Physics Horia Hulubei National Institute for Research and Development in Physics and Nuclear Engineering (IFIN-HH) Bucharest-Măgurele 077125 Romania Institute of Modern Physics Chinese Academy of Sciences Lanzhou 730000 China China Institute of Atomic Energy Beijing 102413 China College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 China Shandong Provincial Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment Institute of Space Sciences Shandong University Weihai 264209 China Yalong River Hydropower Development Company Chengdu 610051 China

Fluorine is one of the most interesting elements in nuclear astrophysics, where the F19(p,α)O16 reaction is of crucial importance for Galactic F19 abundances and CNO cycle loss in first generation Population III stars. As a day-one campaign at the Jinping Underground nuclear Astrophysics experimental facility, we report direct measurements of the essential F19(p,αγ)O16 reaction channel. The γ-ray yields were measured over Ec.m.=72.4–344 keV, covering the Gamow window; our energy of 72.4 keV is unprecedentedly low, reported here for the first time. The experiment was performed under the extremely low cosmic-ray-induced background environment of the China JinPing Underground Laboratory, one of the deepest underground laboratories in the world. The present low-energy S factors deviate significantly from previous theoretical predictions, and the uncertainties are significantly reduced. The thermonuclear F19(p,αγ)O16 reaction rate has been determined directly at the relevant astrophysical energies.

关键词： H & He burning H & He induced nuclear reactions nuclear astrophysics Resonance reactions

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Evaluating Large Language Models for Radiology Natural Language Processing

arXiv

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arXiv 2023年

作者： Liu, Zhengliang Zhong, Tianyang Li, Yiwei Zhang, Yutong Pan, Yi Zhao, Zihao Dong, Peixin Cao, Chao Liu, Yuxiao Shu, Peng Wei, Yaonai Wu, Zihao Ma, Chong Wang, Jiaqi Wang, Sheng Zhou, Mengyue Jiang, Zuowei Li, Chunlin Holmes, Jason Xu, Shaochen Zhang, Lu Dai, Haixing Zhang, Kai Zhao, Lin Chen, Yuanhao Liu, Xu Wang, Peilong Yan, Pingkun Liu, Jun Ge, Bao Sun, Lichao Zhu, Dajiang Li, Xiang Liu, Wei Cai, Xiaoyan Hu, Xintao Jiang, Xi Zhang, Shu Zhang, Xin Zhang, Tuo Zhao, Shijie Li, Quanzheng Zhu, Hongtu Shen, Dinggang Liu, Tianming School of Computing University of Georgia GA United States School of Automation Northwestern Polytechnical University Xi'An710072 China Department of Radiology Massachusetts General Hospital Harvard Medical School MA United States Department of Computer Science and Engineering University of Texas ArlingtonTX United States School of Life Science and Technology University of Electronic Science and Technology of China Chengdu611731 China Glasgow College University of Electronic Science and Technology of China Chengdu611731 China Department of Radiation Oncology Mayo Clinic PhoenixAZ United States Institute of Medical Research Northwestern Polytechnical University Xi'An710072 China School of Physics and Information Technology Shaanxi Normal University Xi'An710119 China School of Computer Science Northwestern Polytechnical University Xi'An710072 China School of Biomedical Engineering ShanghaiTech University Shanghai Clinical Research and Trial Center Shanghai201210 China Shanghai United Imaging Intelligence Co. Ltd. China Department of Biostatistics University of North Carolina at Chapel Hill Chapel HillNC27599 United States Department of Biomedical Engineering Center for Biotechnology Interdisciplinary Studies Rensselaer Polytechnic Institute TroyNY12180 United States Department of Radiology Second Xiangya Hospital Changsha410011 China Shanghai Clinical Research Trial Center China School of Biomedical Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Computer Science and Engineering Lehigh University PA United States Department of Linguistics Department of Computer Science Dartmouth College NH United States Lingang Laboratory Shanghai200031 China

The rise of large language models (LLMs) has marked a pivotal shift in the field of natural language processing (NLP). LLMs have revolutionized a multitude of domains, and they have made a significant impact in the medical field. Large language models are now more abundant than ever, and many of these models exhibit bilingual capabilities, proficient in both English and Chinese. However, a comprehensive evaluation of these models remains to be conducted. This lack of assessment is especially apparent within the context of radiology NLP. This study seeks to bridge this gap by critically evaluating thirty two LLMs in interpreting radiology reports, a crucial component of radiology NLP. Specifically, the ability to derive impressions from radiologic findings is assessed. The outcomes of this evaluation provide key insights into the performance, strengths, and weaknesses of these LLMs, informing their practical applications within the medical domain. © 2023, CC BY.

关键词： Radiology

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Study on the relationship between small and micro hydropower cascade development and ecology 2

Study on the relationship between small and micro hydropower...

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2nd International Conference on Biofilms, ChinaBiofilms 2019

作者： Liu, Ruihua Wang, Rong Li, Yang Chuan, Xi Liu, Qunying Sichuan Electric Vocational and Technical College Chengdu Wenjiang610072 China School of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 China

Micro hydropower and small hydropower are densely distributed, and coincide naturally with the core area of the ecological barrier. In view of the conflict of interests between small and micro hydropower and ecological equilibrium, and based on the existing research results of green small hydropower evaluation criteria, a relatively complete diagnostic index system of small and micro hydropower cascade development and ecological correlation is established from four aspects of environment, economy, management and sociality. The diagnostic index system of hair and ecology correlation suggests that people should not only develop and utilize water energy resources, but also give priority to the dream of protecting the natural ecological environment. © 2019 The Authors, published by EDP Sciences.

关键词： Pollution control

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Lymgradingnet: Follicular Lymphoma Grading Guided by Fusion Strategy with Pet and Ct

SSRN

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SSRN 2024年

作者： Qian, Chunjun He, Lulu Jiang, Qiuhui Zhou, Hang Jiang, Chong Jiang, Zekun Meng, Xianglian Teng, Yue Ding, Chongyang Xu, Bing Li, Xin Ni, Xinye Hertfordshire College Changzhou Institute of Technology NO. 666 Liaohe Road Xinbe District Jiangsu Changzhou213032 China Department of Hematology The First Affiliated Hospital of Xiamen University Institute of Hematology School of Medicine Xiamen University No. 55 Zhenhai Road Siming District Fujian Xiamen361003 China Department of Nuclear Medicine Qilu Hospital of Shandong University 107 Wenhua West Road Lixia District Shandong Jinan250012 China Department of Nuclear Medicine West China Hospital Sichuan University No. 37 Guoxue Alley Wuhou District Sichuan Chengdu610041 China West China Biomedical Big Data Center West China Hospital Sichuan University No. 37 Guoxue Alley Wuhou District Sichuan Chengdu610041 China School of Computer Science and Information Engineering Changzhou Institute of Technology NO. 666 Liaohe Road Xinbe District Jiangsu Changzhou213032 China Department of Nuclear Medicine Nanjing Drum Tower Hospital Affiliated Hospital of Nanjing University Medical School NO. 321 Zhongshan Road Gulou District Jiangsu Nanjing210008 China Department of Nuclear Medicine First Affiliated Hospital of Nanjing Medical University Jiangsu Province Hospital NO. 300 Guangzhou Road Gulou District Jiangsu Nanjing210028 China Changzhou NO.2 People’s Hospital Nanjing Medical University Jiangsu Province Engineering Research Center of Medical Physics Center of Medical Physics Nanjing Medical University No. 68 Gehu Middle Road Wujin District Jiangsu Nanjing213003 China Nanjing University China

Follicular lymphoma (FL) is a non-Hodgkin lymphoma and an indolent B-cell lymphoproliferative disorder of transformed follicular center B cells. In the diagnosis, FL should be graded by counting the number of centroblasts in the pathological image, which is time-consuming. This study proposes a FL grading method based on the PET and CT images. We propose a 3D-DDcGAN to fuse the simultaneously collected PET and CT images. In the 3D-DDcGAN, the surface-level measurement and chrominance information constraint are considered to construct the loss function. Then, due to the uncertainty between the FL grades I and II, the BayesianResNet (ResNet is improved by introducing Bayes' theorem) is adopted for the FL grading. Our method is trained and tested on mixed data consisting of FL grades I-III and DLBCL. Finally, the evaluation metrics for our method are accuracy 0.871, precision 0.875, recall 0.777, macro-averaged F1-score 0.816, and micro-averaged F1-score 0.866. Through comparative experiments, we find that appropriate image fusion methods are helpful for FL grading in PET-CT images, which may be extended to the other diseases' grading. The method based on deep learning and medical imaging will help assist in disease grading, identifying the FL subtypes, and guiding personalized treatment plans. © 2024, The Authors. All rights reserved.

关键词： Image fusion

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Defense Strategy of URWPGSim2d Simulation Platform's Survival Challenge

引用

Journal of Physics: Conference Series 2021年第1期2037卷

作者： Haojin Peng Luyao Wang Zixiang Zhao Chengyang Huang Huikai Xu College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Province 610059 China School of Economics Sichuan Agricultural University Chengdu Sichuan Province 611130 China

In order to protect the regular fish efficiently in half-time when being the defense side in the survival challenge project, the tactics of human basketball game are introduced, and the defense strategy of urwpgsim2d simulation platform's survival challenge is proposed, that is, the defensive strategy of the target defense based on the position of attacking fish. This paper first analyzes several problems appeared in the competition process, then, according to the rules and common problems of the competition, we formulated the survival strategies of No.2 and No.4 upper and lower double winding columns, as well as one-to-one defense of No.1 against No.3. In the process, the mathematical model of the common fish's avoiding and one-on-one protection is established. The results of a lot of experiments show that the strategy can avoid the attack of the other party effectively, improve the defense efficiency of our side, and provide reference for other counter games in the treatment of obstacles.

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