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38th International Cosmic Ray Conference, ICRC 2023

作者： Li, Wenlian Huang, Tian-Qi Xu, Donglian He, Huihai Cao, Zhen Aharonian, F. An, Q. Axikegu Bai, Y.X. Bao, Y.W. Bastieri, D. Bi, X.J. Bi, Y.J. Cai, J.T. Cao, Q. Cao, W.Y. Cao, Zhe Chang, J. Chang, J.F. Chen, A.M. Chen, E.S. Chen, Liang Chen, Lin Chen, Long Chen, M.J. Chen, M.L. Chen, Q.H. Chen, S.H. Chen, S.Z. Chen, T.L. Chen, Y. Cheng, N. Cheng, Y.D. Cui, M.Y. Cui, S.W. Cui, X.H. Cui, Y.D. Dai, B.Z. Dai, H.L. Dai, Z.G. Danzengluobu della Volpe, D. Dong, X.Q. Duan, K.K. Fan, J.H. Fan, Y.Z. Fang, J. Fang, K. Feng, C.F. Feng, L. Feng, S.H. Feng, X.T. Feng, Y.L. Gabici, S. Gao, B. Gao, C.D. Gao, L.Q. Gao, Q. Gao, W. Gao, W.K. Ge, M.M. Geng, L.S. Giacinti, G. Gong, G.H. Gou, Q.B. Gu, M.H. Guo, F.L. Guo, X.L. Guo, Y.Q. Guo, Y.Y. Han, Y.A. He, H.H. He, H.N. He, J.Y. He, X.B. He, Y. Heller, M. Hor, Y.K. Hou, B.W. Hou, C. Hou, X. Hu, H.B. Hu, Q. Hu, S.C. Huang, D.H. Huang, T.Q. Huang, W.J. Huang, X.T. Huang, X.Y. Huang, Y. Huang, Z.C. Ji, X.L. Jia, H.Y. Jia, K. Jiang, K. Jiang, X.W. Jiang, Z.J. Jin, M. Kang, M.M. Ke, T. Kuleshov, D. Kurinov, K. Li, B.B. Li, Cheng Li, Cong Li, D. Li, F. Li, H.B. Li, H.C. Li, H.Y. Li, J. Li, Jian Li, Jie Li, K. Li, W.L. 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.Y. Liu, M.Y. Liu, R.Y. Liu, S.M. Liu, W. Liu, Y. Liu, Y.N. Lu, R. Luo, Q. Lv, H.K. Ma, B.Q. Ma, L.L. Ma, X.H. Mao, J.R. Min, Z. Mitthumsiri, W. Mu, H.J. Nan, Y.C. Neronov, A. 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. Semikoz, D. Shao, C.Y. Shao, L. Shchegolev, O. Sheng, X.D. Shu, F.W. Song, H.C. Stenkin, Yu.V. Stepanov, V. Su, Y. Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai201210 China Key Laboratory of Particle Astrophysics Experimental Physics Division Computing Center Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China Shanghai Key Laboratory for Particle Physics and Cosmology Shanghai200240 China 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 Chengdu610000 China Dublin Institute for Advanced Studies 31 Fitzwilliam Place Dublin 2 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 School of Astronomy and Space Science Nanjing University Jiangsu Nanjing210023 China Center for Astrophysics Guangzhou University Guangdong Guangzhou510006 China Hebei Normal University Hebei Shijiazhuang050024 China Key Laboratory of Dark Matter and Space Astronomy Key Laboratory of Radio Astronomy Purple Mountain Observatory Chinese Academy of Sciences Jiangsu Nanjing210023 China Tsung-Dao Lee Institute School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Key Laboratory for Research in Galaxies and Cosmology Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai200030 China Key Laboratory of Cosmic Rays Tibet University Ministry of Education Tibet Lhasa850000 China National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China School of Physics and Astronomy Sun Yat-sen University Zhuhai519000 China School of Physics Sun Ya

The Cygnus region, which contains massive molecular and atomic clouds and young stars, is a promising Galactic neutrino source candidate. Cosmic rays transport in the region can produce neutrinos and γ-rays. Using ten years of track events detected by the IceCube Neutrino Observatory, we conduct searches for neutrino signals from the Cygnus region with a template method. Four templates, including the CO template, HI template, uniform template, and 2D Gaussian template, are used in this study. No significant emissions are found. We set upper limits for each template, with the resulting upper limit for the CO template being dν/dEν = 6.25 × 10−17(Eν/100TeV)−3TeV−1cm−2s−1 © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Fault diagnosis study for nuclear power plants under imbalanced fault sample datasets based on deep learning

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Annals of nuclear Energy 2025年 223卷

作者： Zhanguo Ma Jing Cui Jing Zhang Liang Zhang Wenhao Jia Long Tian School of Automation Harbin University of Science and Technology 150080 Harbin Heilongjiang China Fundamental Science on Nuclear Safety and Simulation Technology Laboratory College of Nuclear Science and Technology Harbin Engineering University 150001 Harbin Heilongjiang China CNNC China Nuclear Power Engineering Co. Ltd 100840 Beijing China NO.703 Research Institute of China State Shipbuilding Company Limited 150078 Harbin Heilongjiang China

The safety of nuclear power plants is crucial, and the situation awareness of the power plant is significantly important for the plant operation during which the fault diagnosis technology plays a key role for the plant state monitoring. Operation of the nuclear power plant is predominantly in a normal state, resulting in a scarcity of fault data. This scarcity leads to imbalanced training data, posing a challenge to the accuracy of fault diagnosis models. This study proposed a fault diagnosis framework that integrates Self-Attention Time-Series Generative Adversarial Networks (SATimeGAN) to augment the training datasets and Convolutional Neural Network-Bidirectional Long Short-Term Memory networks (CNN-BiLSTM) to diagnose the faults, aimed at addressing the data imbalance issue and improving the diagnostic accuracy. Experimental results demonstrate preferable performance of the model in nuclear power plant fault diagnosis, especially in handling imbalance sample fault datasets, compared to traditional CNN, LSTM, and BiLSTM models.

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Searching for neutrino signals correlated with LHAASO diffuse Galactic emission 38

Searching for neutrino signals correlated with LHAASO diffus...

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38th International Cosmic Ray Conference, ICRC 2023

The diffuse Galactic γ-ray emission is produced from the interaction of cosmic rays and interstellar medium or radiation fields in the Galaxy, where neutrino production is also expected. Recently, the Large High Altitude Air Shower Observatory (LHAASO) reported the measurements of the diffuse γ-ray from the Galactic plane with energies above 10 TeV. In this study, we construct the neutrino emission template based on LHAASO’s observation and search for diffuse neutrinos accompanying the LHAASO diffuse Galactic γ-ray emission using ten-year IceCube track events. No significant signals are found. We set 90% confidence level upper limits, resulting in the neutrino flux of dν/dEν = 1.27 × 10−14(Eν/25TeV)−2.99TeV−1cm−2s−1 for the diffuse γ-ray flux map with a 1.5σ significance cut. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Gamma rays

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Location Selection and Scheduling Optimization of Material Storage in Manufacturing Workshop

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International Journal of Plant engineering and Management 2019年第4期24卷 206-218页

作者： ZENG Guoqiang LIU Li SHENG Lei BAI Nan School of Nuclear Technology and Automation Engineering Chengdu University of Technology

Based on improved immune algorithm, the location of material storage in manufacturing workshop is studied. Intelligent optimization algorithms include particle swarm optimization algorithm, genetic selection algorithm, simulated annealing algorithm, tabu search algorithm and so on. According to the non-linear constraints, the objective function is established to solve the minimum energy consumption of material distribution. The improved immune algorithm can solve the complex problem of manufacturing workshop, and the material storage location and scheduling scheme can be obtained by combining simulation software. Scheduling optimization involves material warehousing, sorting, loading and unloading, handling and so on. Using the one-to-one accurate distribution principle and MATLAB software to simulate and analyze, the location of material warehousing in manufacturing workshop is determined, and the material distribution and scheduling are studied.

关键词： immune algorithm manufacturing workshop material storage location MATLAB scheduling optimization

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Prompt engineering for Healthcare: Methodologies and Applications

arXiv

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arXiv 2023年

作者： Wang, Jiaqi Shi, Enze Yu, Sigang Wu, Zihao Ma, Chong Dai, Haixing Yang, Qiushi Kang, Yanqing Wu, Jinru Hu, Huawen Yue, Chenxi Zhang, Haiyang Liu, Yiheng Pan, Yi Liu, Zhengliang Sun, Lichao Li, Xiang Ge, Bao Jiang, Xi Zhu, Dajiang Yuan, Yixuan Shen, Dinggang Liu, Tianming Zhang, Shu The School of Computer Science Northwestern Polytechnical University Xi’an710072 China The School of Automation Northwestern Polytechnical University Xi’an710072 China The School of Computing The University of Georgia Athens30602 United States The Department of Computer Science and Engineering Lehigh University PA18015 United States The Department of Radiology Massachusetts General Hospital Harvard Medical School Boston02115 United States The Department of Computer Science and Engineering The University of Texas at Arlington Arlington76019 United States The School of Biomedical Engineering ShanghaiTech University Shanghai201210 China Shanghai United Imaging Intelligence Co. Ltd. Shanghai200230 China Shanghai Clinical Research and Trial Center Shanghai201210 China The Department of Electronic Engineering City University of Hong Kong 999077 Hong Kong The Department of Electronic Engineering Chinese University of Hong Kong 999077 Hong Kong The School of Physics and Information Technology Shaanxi Normal University Xi’an710119 China The School of Glasgow College University of Electronic Science and Technology of China Chengdu611731 China The School of Life Science and Technology University of Electronic Science and Technology of China Chengdu611731 China

Prompt engineering is a critical technique in the field of natural language processing that involves designing and optimizing the prompts used to input information into models, aiming to enhance their performance on specific tasks. With the recent advancements in large language models, prompt engineering has shown significant superiority across various domains and has become increasingly important in the healthcare domain. However, there is a lack of comprehensive reviews specifically focusing on prompt engineering in the medical field. This review will introduce the latest advances in prompt engineering in the field of natural language processing for the medical field. First, we will provide the development of prompt engineering and emphasize its significant contributions to healthcare natural language processing applications such as question-answering systems, text summarization, and machine translation. With the continuous improvement of general large language models, the importance of prompt engineering in the healthcare domain is becoming increasingly prominent. The aim of this article is to provide useful resources and bridges for healthcare natural language processing researchers to better explore the application of prompt engineering in this field. We hope that this review can provide new ideas and inspire for research and application in medical natural language processing. Copyright © 2023, The Authors. All rights reserved.

关键词： Medical applications

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Observer-Based Adaptive Fuzzy Control for Intelligent Ship Autopilot with State Constraint^*

Observer-Based Adaptive Fuzzy Control for Intelligent Ship A...

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International Conference on Information Science and technology (ICIST)

作者： Liyan Zhu Tieshan Li Navigation College Dalian Maritime University Dalian P. R. China School of Automation Engineering University of Electronic Science and Technology of China Chengdu P. R. China

This paper studies the problem of autopilot heading control of intelligent ship with unknown yaw rate and state constraint. For the cases of adaptive fuzzy control, fuzzy logic system (FLS) is adopted to establish the unknown nonlinear function, a fuzzy state observer is constructed to obtain the unknown yaw rate, barrier Lyapunov function ensures that the tracking error is restricted. In the process of designing rudder controller, fuzzy state observer, state constraint are taken into account. Compared with traditional output feedback scheme, the observer-based state constraint control strategy can save more resource effectively. Based on Lyapunov stability theory, adaptive fuzzy approach is proposed to guarantee the desired control objective. Meanwhile, autopilot constrained requirement are also ensured. Finally, the simulation results are provided to illustrate the effectiveness of the proposed methods.

关键词： Fuzzy logic Fuzzy control Simulation Process control Observers Autopilot Time factors

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Study of tree shrew biology and models: A booming and prosperous field for biomedical research

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Zoological Research 2024年第4期45卷 877-909页

作者： Yong-Gang Yao Li Lu Rong-Jun Ni Rui Bi Ceshi Chen Jia-Qi Chen Eberhard Fuchs Marina Gorbatyuk Hao Lei Hongli Li Chunyu Liu Long-Bao Lv Kyoko Tsukiyama-Kohara Michinori Kohara Claudia Perez-Cruz Gregor Rainer Bao-Ci Shan Fang Shen An-Zhou Tang Jing Wang Wei Xia Xueshan Xia Ling Xu Dandan Yu Feng Zhang Ping Zheng Yong-Tang Zheng Jumin Zhou Jiang-Ning Zhou Key Laboratory of Genetic Evolution and Animal Models Yunnan Key Laboratory of Animal Models and Human Disease MechanismsKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650204China National Research Facility for Phenotypic&Genetic Analysis of Model Animals(Primate Facility) and National Resource Center for Non-Human PrimatesKunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650107China KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases Kunming Institute of ZoologyChinese Academy of SciencesKunmingYunnan 650204China Kunming College of Life Science University of Chinese Academy of SciencesKunmingYunnan 650204China Mental Health Center and Psychiatric Laboratory West China HospitalSichuan UniversityChengduSichuan 610041China Sichuan Clinical Medical Research Center for Mental Disorders ChengduSichuan 610044China German Primate Center Leibniz Institute of Primate ResearchGöttingen 37077Germany Department of Optometry and Vision Science School of OptometryUniversity of Alabama at BirminghamBirminghamAL 35294USA State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhanHubei 430071China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhanHubei 430074China Soong Ching Ling Institute of Maternity and Child Health International Peace Maternity and Child Health HospitalShanghai Jiao Tong University School of MedicineShanghai 200030China Transboundary Animal Diseases Center Joint Faculty of Veterinary MedicineKagoshima UniversityKagoshima-cityKagoshima 890-8580Japan Department of Microbiology and Cell Biology Tokyo Metropolitan Institute of Medical ScienceTokyo 156-8506Japan Pharmacology Department CinvestavMexico City 07360Mexico Department of Medicine University of FribourgFribourg CH-1700Switzerland Beijing Engineering Research Center of Radiog

The tree shrew(Tupaia belangeri)has long been proposed as a suitable alternative to non-human primates(NHPs)in biomedical and laboratory research due to its close evolutionary relationship with *** recent years,significant advances have facilitated tree shrew studies,including the determination of the tree shrew genome,genetic manipulation using spermatogonial stem cells,viral vector-mediated gene delivery,and mapping of the tree shrew brain ***,the limited availability of tree shrews globally remains a substantial challenge in the ***,determining the key questions best answered using tree shrews constitutes another *** shrew models have historically been used to study hepatitis B virus(HBV)and hepatitis C virus(HCV)infection,myopia,and psychosocial stress-induced depression,with more recent studies focusing on developing animal models for infectious and neurodegenerative *** these efforts,the impact of tree shrew models has not yet matched that of rodent or NHP models in biomedical *** review summarizes the prominent advancements in tree shrew research and reflects on the key biological questions addressed using this *** emphasize that intensive dedication and robust international collaboration are essential for achieving breakthroughs in tree shrew *** use of tree shrews as a unique resource is expected to gain considerable attention with the application of advanced techniques and the development of viable animal models,meeting the increasing demands of life science and biomedical research.

关键词： Tree shrew Animal model Neurodegenerative diseases Infectious diseases Neuroscience Phenome

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Fiber-Based Transfer of Radio-Frequency at X-Band with Femtosecond Timing Fluctuation Using Optical Phase Compensation

Fiber-Based Transfer of Radio-Frequency at X-Band with Femto...

引用

International Conference on Communication technology (ICCT)

作者： Wantao Huang Ze Li Yefeng Gao Dong Hou Mathematics and Information Science Guangzhou University Guang Zhou China College of Science Kaili University Kaili China The School of Automation Engineering Univ. Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665432078

We have demonstrated a transfer of radio frequency (RF) at X-band over fiber link using an optical phase compensator. With this transfer technique, a highly-stable 9.192 GHz RF signal was disseminated over a 10-km long fiber link for 5000 s. The timing fluctuation and instability of the transferred RF signal was measured and discussed. The experimental results show that the total root-mean-square (RMS) timing fluctuation of the transferred RF signal with compensation is about 250 fs with a fractional frequency instability on the order of 5.6 x 10–14 at 1 sand 8.7 x 10–17 at 1000 s. The results indicates that the proposed scheme can be utilized to disseminate atomic clocks (e.g. commercial Cs clock) over long fiber link.

关键词： Optical fibers Radio frequency Integrated optics Fluctuations RF signals Optical fiber communication Timing

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Application of BP neural network on quantitative evaluation of curriculum reform in advanced education-A case study of signal and system

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Journal of Physics: Conference Series 2021年第1期1774卷

作者： Lu Meng Zhixing Gu Fei Li Xiaohui Liu Guoqiang Zeng Xingjie He College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China Mechanical Engineering Southwest Jiaotong University China

In this paper, BP neural network model is used to study and analyse the teaching reform of signal and system course. Referring to the structure of BP neural network, the quality evaluation index system of signal and system course is established. On this basis, the factors influencing students' examination results are predicted, and the questionnaire is designed and BP neural network is used for prediction. The mean square deviation of the result is 0.7788. Through the correlation coefficient analysis of the data obtained, we can get the major factors that affect students' final scores. In view of this, the paper puts forward the direction and specific measures of teaching reform of this course.

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Evaluation of teaching quality of computing method course based on improved BP neural network

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Journal of Physics: Conference Series 2021年第1期1774卷

作者： Xiaotong Deng Yi Gu Fei Li Xiaohui Liu Guoqiang Zeng College of Nuclear Technology and Automation Engineering Chengdu University of Technology China Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province China Mechanical Engineering Southwest Jiaotong University China

Calculation method is a very important basic course of engineering, in the environment of engineering education, a large number of colleges and universities bring calculation methods into the category of professional compulsory courses. This course is not only theoretical, but also practical. Therefore, teachers are required to combine the two organically. The evaluation of teaching quality is of great practical significance to the cultivation of students and the optimization of curriculum. This paper establishes a more convenient and efficient teaching quality evaluation model of calculation method course by making corresponding evaluation index of calculation method course, and proves its excellence through experiments.

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