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Evaluation of neutron cross sections of^(48)Ti based on the Unified-Monte-Carlo-B method

Chinese Physics C 2024年第7期48卷 118-130页

作者：夏候琼续瑞瑞刘萍 roberto Capote 田源陶曦吴小飞张玥葛智刚舒能川冯松 China Nuclear Data Center China Institute of Atomic EnergyBeijing 102413China NAPC–Nuclear Data Section P.O.Box 100Vienna International CentreA-1400ViennaAustria School of Nuclear Science and Technology University of South ChinaHengyang 421001China

A cross section evaluation of neutron induced reactions on^(48)Ti is undertaken using the Unified Monte Carlo-B(UMC-B)*** evaluation concentrates on estimating the covariance and the use of the UMC-B allows avoiding the deficiencies of linear regression brought by the traditional least squares *** main neutron and charged particle emission reactions from n+^(48)Ti in the fast neutron energy region below 20 MeV are studied in this *** posterior probability density function(PdF)of each neutron cross section is obtained in a UMC-B Bayesian approach by convoluting the model PdFs sampled based on model parameters and the likelihood functions for the experimental *** model parameters including level density,pair corrections,optical model and Kalbach matrix element parameter are stochastically sampled with the assumption of normal distributions to estimate the model *** Cholesky factorization approach is applied to consider potential parameter ***,the posterior covariance matrices are generated using the UMC-B generated *** new evaluated results are compared with the CENdL-3.2,ENdF/B-VIII.0,JEFF-3.3,TENdL-2021 and JENdL-5 evaluations and differences are discussed.

关键词： covariance Unified Monte Carlo B(UMC-B) ^(48)Ti neutron cross sections Cholesky factor-ization approach

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A rigorous real-time acoustic positioning method for ocean bottom seismic exploration

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Satellite Navigation 2024年第1期5卷 168-190页

作者： Jinye Ma Shouchuan Fang Jianhu Zhao School of Geodesy and Geomatics Wuhan University129 Luoyu RoadWuhan430079China Institute of Marine Science and Technology Wuhan UniversityWuhan430079China Surveying Service Center BGP Inc.CNPCZhuozhou072751HebeiChina

The conventional technique for positioning seafloor geophones in ocean bottom seismic exploration encounters several challenges,including the significant impact of outliers on positioning results,underutilization of high-precision observations,and low efficiency in real-time data *** issues inevitably affect the quality of seismic exploration *** address these challenges and enhance the accuracy of geophone positioning,this paper proposes a rigorous real-time acoustic positioning method for geophones based on sequential adjustment and Baarda's outlier detection *** proposed method comprises three key steps:grouping the original acoustic observations,constructing the intra-group acoustic positioning model,and synthesizing the positioning results across the different *** validity and practicality of this approach are confirmed through a simulation experiment as well as the field experiment conducted in the Bohai Sea,*** results demonstrate that the proposed method effectively eliminates outliers in the original observations and maximizes the utilization of high-quality *** to traditional acoustic positioning methods,it significantly reduces positioning errors from meters to decimeters,and in some cases can achieve centimeter-level *** the sound velocity profile in the operating sea area is measured,the method can attain the posterior standard deviation at the millimeter level and positioning errors within 10 *** the sound velocity profile is unknown,the method can achieve the posterior standard deviation at centimeter-level and positioning errors of approximately 20 cm.

关键词： Ocean bottom seismic exploration Geophone positioning Acoustic positioning method Sequential adjustment Outlier detection

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Integrated spatial generalized additive modeling for forest fire prediction:a case study in Fujian Province,China

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Journal of Forestry research 2025年第3期36卷 208-223页

作者： Chunhui Li Zhangwen Su rongyu Ni Guangyu Wang Yiyun Ouyang Aicong Zeng Futao Guo College of Forestry Fujian Agriculture and Forestry UniversityFuzhou 350002People’s Republic of China S Technology and Resource Optimization Utilization Key Laboratory of Fujian Universities Fuzhou 350002People’s Republic of China Zhangzhou Institute of Technology Zhangzhou 363000People’s Republic of China Department of Forest Resources Management Faculty of ForestryUniversity of British ColumbiaVancouverBC V6T 1Z4Canada

The increasing frequency of extreme weather events raises the likelihood of forest ***,establishing an effective fire prediction model is vital for protecting human life and property,and the *** study aims to build a prediction model to understand the spatial characteristics and piecewise effects of forest fire *** monthly grid data from 2006 to 2020,a modeling study analyzed fire occurrences during the September to April fire season in Fujian Province,*** compared the fitting performance of the logistic regression model(LrM),the generalized additive logistic model(GALM),and the spatial generalized additive logistic model(SGALM).The results indicate that SGALMs had the best fitting results and the highest prediction *** factors significantly impacted forest fires in Fujian *** with high fire incidence were mainly concentrated in the northwest and *** improved the fitting effect of fire prediction models by considering spatial effects and the flexible fitting ability of nonlinear *** model provides piecewise interpretations of forest wildfire occurrences,which can be valuable for relevant departments and will assist forest managers in refining prevention measures based on temporal and spatial differences.

关键词： Forest fire prediction Logistic regression Spatial generalized additive model Spline functions Piecewise effects

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Multi-agent mobile networking observation experiment at the air-sea interface of ocean eddy

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Science China Earth Sciences 2024年第10期67卷 3083-3097页

作者： Yi ZHANG dongxiao WANG Li ZHOU Chunhua QIU Yunfei ZHANG Zhiliang dENG Biao ZHANG Yunping LIU Yeqiang SHU Fenghua ZHOU danian LIU Zhengqiu ZHANG School of Marine Sciences Sun Yat-Sen UniversityZhuhai 519082China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China School of Marine Technology and Geomatics Jiangsu Ocean UniversityLianyungang 222005China Zhuhai Yunzhou Intelligent Technology Co. Ltd.Research and Design CenterZhuhai 519000China School of Automation Nanjing University of Information Science&TechnologyNanjing 210044China School of Marine Sciences Nanjing University of Information Science&TechnologyNanjing 210044China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China

Current climate forecasting has advanced to the stage of investigating mesoscale air-sea interactions. recent studies have identified significant structural differences between the cores and edges of mesoscale eddies;however, the effects of these structural variations on air-sea fluxes and the Marine Atmospheric Boundary Layer(MABL) remain underexplored. Traditional observations often fail to capture the detailed structures of eddies, necessitating enhanced observations at high spatiotemporal resolution for mesoscale eddies. To address this, efforts have been made to develop multi-agent platforms and expendable air-sea interface observation technologies. A task-oriented observation scheme was developed to monitor the spatial characteristics of mesoscale eddies. The South China Sea(SCS) is rich in mesoscale eddies with rapid motion changes, requiring enhanced observations of the air-sea interface using multi-agent mobile networking. An anticyclonic eddy was observed in the eastern region of the Xisha Islands in the SCS, and we examined variations in air-sea fluxes across different regions within the eddy.

关键词： Multi-agent Mobile networking Mesoscale eddy Air-sea interface Collaborative observation

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design and analysis of active disturbance rejection control for time-delay systems using frequency-sweeping

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Journal of Systems Engineering and Electronics 2023年第2期34卷 479-491页

作者： WANG Yongshuai CHEN Zengqiang SUN Mingwei SUN Qinglin College of Artificial Intelligence Nankai UniversityTianjin 300350China Key Laboratory of Intelligent Robotics of Tianjin Tianjin 300350China

For the typical first-order systems with time-delay,this paper explors the control capability of linear active disturbance rejection control(LAdrC).Firstly,the critical time-delay of LAdrC is analyzed using the frequency-sweeping method and the routh criterion,and the stable time-delay interval starting from zero is accurately obtained,which reveals the limitations of general LAdrC on large *** in view of the large time-delay,an LAdrC controller is developed and verified to be effective,along with the robustness ***,numerical simulations show the accuracy of critical time-delay,and demonstrate the effectiveness and robustness of the proposed controller compared with other modified LAdrCs.

关键词： active disturbance rejection control frequencysweeping method critical time-delay routh criterion system with large time-delay

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Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method

JOURNAL OF PIPELINE SCIENCE AND ENGINEERING

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JOUrNAL OF PIPELINE SCIENCE ANd ENGINEErING 2025年第2期5卷

作者： Wang, Yifei Hu, Qihui Zhao, Xuefeng Yin, Buze Meng, Lan Xin, Ouyang Cong, Siqi Nie, Chaofei Guo, Yaqi Li, Yuxing China Univ Petr East China Shandong Key Lab Oil & Gas Storage & Transportat S Qingdao 266580 Shandong Peoples R China Daqing Oilfield Design Inst Co Ltd Daqing 163453 Heilongjiang Peoples R China PipeChina Inst Sci & Technol Tianjin 300450 Peoples R China

The study of the diffusion characteristics of CO2 leakage in pipelines and the determination of the hazardous distance resulting from such leakage under various working conditions are crucial for identifying the highconsequence zone of industrial CO2 pipelines and analyzing the consequences of accidents. Currently, there is yet to be a unified conclusion on the delineation and calculation method of hazard distance. This paper has formulated hazard distance calculation and forecasting methods by combining test verification and model calculation. First, a full-scale pipe burst leakage experiment was carried out based on a self-designed and built CO2 pipe leakage device, the CO2 concentration data was measured, and the CO2 diffusion characteristics were analyzed. Then, the experimental measurement values were compared with the calculation results of the CO2 concentration calculation model to verify the reliability of the model. Furthermore, a hazard distance calculation model was introduced, which utilized bilinear interpolation and took into account time-weighted allowable concentrations. This model accurately determined the hazard distances caused by leaks at 11 specific locations along the pipeline. It was found that the location of the leak point can lead to significant differences in the classification of the hazard distance, so the development of a hazard distance prediction model is necessary. Eventually, a hazard distance prediction model was established based on the PSO-BP neural network. Six variables were selected as input parameters: CO2 temperature, pressure, density, position, and distance from the distance valve chamber. The hazard distance caused by a leak at 125 locations along the pipeline was predicted. The results showed that an increase in the transport distance or a location away from the valve chamber would lead to an increase in the hazard distance. At the same time, a CO2 leak in the supercritical state will not generate a hazard distance.

关键词： Leakage experiment Hazard distance calculation model Hazard distance prediction model CO2 concentration diffusion characteristics CO2 concentration calculation model

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A novel lightweight computerized ECG interpretation approach based on clinical 12-lead data

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Science China(Technological Sciences) 2024年第2期67卷 449-463页

作者： LIU YunQing QIN ChengJin LIU JinLei JIN Yanrui LI ZhiYuan ZHAO LiQun LIU ChengLiang School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Key Labof Artificial Intelligence(Ministryof Education) AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Cardiology Shanghai First Peoples Hospital Affiliated to Shanghai Jiao Tong UniversityShanghai 200080China

Although 12-lead electrocardiograms(ECGs)provide a wide range of spatiotemporal characteristics,interpreting them for arrhythmia detection is difficult due to a lack of reliable large-scale clinical ***,we proposed an innovative lightweight computerized ECG interpretation approach based on 12-lead *** model was trained,validated,and tested on 53845 standard 12-lead ECG records collected at Shanghai First People’s Hospital in affiliation with Shanghai Jiao Tong *** experiments revealed that our approach had a classification accuracy of 94.41%in the classification task of seven types of rhythms,which was markedly superior to related single-lead and 12-lead ECG classification ***,the average receiver operating characteristic area under the curve reached a value of 0.940,and the precision values for sinus tachycardia and sinus bradycardia were 0.945 and 0.91,respectively,with specificity values of 0.996 and *** employing our boosting method,we were able to improve the accuracy to 94.85%.To investigate the performance degradation of the proposed neural network in some classes,an ECG cardiologist was enlisted to review questionable ECGs;this process provides a promising direction for network performance ***,the proposed computerized ECG interpretation approach has practical significance because it could help professional physicians analyze patients’heart conditions based on real-time 12-lead ECG or grade their disease severity in advance.

关键词： computerized ECG interpretation large-scale 12-lead clinical ECG database lightweight neural network

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Accurate prediction of magnetocaloric effect in NiMn-based Heusler alloys by prioritizing phase transitions through explainable machine learning

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rare Metals 2025年第1期44卷 639-651页

作者： Yi-Chuan Tang Kai-Yan Cao ruo-Nan Ma Jia-Bin Wang Yin Zhang dong-Yan Zhang Chao Zhou Fang-Hua Tian Min-Xia Fang Sen Yang School of Physics Xi’an Jiaotong UniversityXi’an710049China Key Laboratory of Micro-Systems and Micro-Structures School of Advanced Materials and Nanotechnology Xidian UniversityXi’an710126China

With the rapid development of artificial intelligence,magnetocaloric materials as well as other materials are being developed with increased efficiency and enhanced ***,most studies do not take phase transitions into account,and as a result,the predictions are usually not accurate *** this context,we have established an explicable relationship between alloy compositions and phase transition by feature imputation.A facile machine learning is proposed to screen candidate NiMn-based Heusler alloys with desired magnetic entropy change and magnetic transition temperature with a high accuracy r^(2)≈*** expected,the measured properties of prepared NiMn-based alloys,including phase transition type,magnetic entropy changes and transition temperature,are all in good agreement with the ML *** well as being the first to demonstrate an explicable relationship between alloy compositions,phase transitions and magnetocaloric properties,our proposed ML model is highly predictive and interpretable,which can provide a strong theoretical foundation for identifying high-performance magnetocaloric materials in the future.

关键词： NiMn-based Heusler materials Phase transition-type Machine learning Magnetocaloric effect Composition design

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AB_(2)-type rare earth-based compounds with C-15 structure:Looking for reversible hydrogen storage materials

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Journal of rare Earths 2024年第5期42卷 803-816,I0001页

作者： Hao Shen Junxian Zhang Valerie Paul-Boncour Ping Li Zhinian Li Yuanfang Wu Lijun Jiang National Engineering Research Center of Nonferrous Metals Materias and Products for New Energy GRINM Group Co.LtdBeijing00088China Univ Paris Est Creteil CNRSICMPEUMR 71822 rue Henri Dunant94320ThiaisFrance Institute for Advanced Materials and Technology University of Science and TechnologyBeijing100083China GRIMAT Engineering Institute Co. Ltd.Beijing101407China

AB_(2)-type(A=rare earth,B=transition metal)intermetallic compounds with C15 structure can easily absorb large amount of hydrogen,showing their potential use as hydrogen storage *** crucial problem hindering their application is hydrogen induced amorphization(HIA),which leads to the irreversible hydrogen sorption *** stability of the AB_2 Laves phase compounds,the structural properties,the hydrogenation properties and the controlling factors of HIA are discussed in this *** with other factors,the atomic radii ratio r_A/r_B is the most important one influencing the ***-element substitution is an efficient way to suppress or limit HIA and may enable AB_2 compounds to be suitable for hydrogen storage.

关键词： rare earth-based AB_2-type compounds Hydrogenation properties Hydrogen induced amorphization Elemental substitution

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Comprehensive Treatment Uncertainty Analysis and PTV Margin Estimation for Fiducial Tracking in robotic Liver Stereotactic Body radiation Therapy

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Current Medical Science 2023年第3期43卷 572-578页

作者： Zhi-wen LIANG Meng-lan ZHAI Biao TU Xin NIE Xiao-hui ZHU Jun-ping CHENG Guo-quan LI dan-dan YU Tao ZHANG Sheng ZHANG Cancer Center Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China

Objective This study aims to quantify the uncertainties of CyberKnife Synchrony fiducial tracking for liver stereotactic body radiation therapy(SBrT)cases,and evaluate the required planning target volume(PTV)*** A total of 11 liver tumor patients with a total of 57 fractions,who underwent SBrT with synchronous fiducial tracking,were enrolled for the present *** correlation/prediction model error,geometric error,and beam targeting error were quantified to determine the patient-level and fraction-level individual composite treatment *** composite uncertainties and multiple margin recipes were compared for scenarios with and without rotation correction during *** The correlation model error-related uncertainty was 4.3±1.8,1.4±0.5 and 1.8±0.7 mm in the superior-inferior(SI),left-right,and anterior-posterior directions,*** were the primary contributors among all uncertainty *** geometric error significantly increased for treatments without rotation *** fraction-level composite uncertainties had a long tail ***,the generally used 5-mm isotropic margin covered all uncertainties in the left-right and anterior-posterior directions,and only 75%of uncertainties in the SI *** order to cover 90%of uncertainties in the SI direction,an 8-mm margin would be *** scenarios without rotation correction,additional safety margins should be added,especially in the superior-inferior and anterior-posterior *** The present study revealed that the correlation model error contributes to most of the uncertainties in the *** patients/fractions can be covered by a 5-mm *** with large treatment uncertainties might need a patient-specific margin.

关键词： CyberKnife fiducial tracking liver cancer stereotactic body radiation therapy margin expansion

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