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A Localization Method of High Energy Transients for All-sky Gamma-ray Monitor

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Research in Astronomy and Astrophysics 2024年第10期24卷 25-35页

作者： yi Zhao Wangchen Xue Shaolin Xiong Qi Luo Yuanhao Wang Jiacong Liu Heng Yu Xiaoyun Zhao Yue Huang Jinyuan liao Jianchao Sun Xiaobo Li Qibin yi Ce Cai Shuo Xiao Shenglun Xie Chao zheng Yanqiu zhang Chenwei Wang Wenjun Tan Zhiwei Guo Chaoyang Li zhenghua An Gang Chen Yanqi Du Min Gao Ke Gong Dongya Guo Jiang He Jianjian He Bing Li Gang Li Xinqiao Li Jing Liang Xiaohua Liang Yaqing Liu Xiang Ma Rui Qiao Liming Song Xinying Song Xilei Sun Jin Wang Ping Wang Xiangyang Wen Hong Wu Yanbing Xu Sheng yang Dali zhang Fan zhang Hongmei zhang Peng zhang Shu zhang Zhen zhang Shijie zheng Keke zhang Xingbo Han Haiyan Wu Hu Tai Hao Geng Gaopeng Lu Wei Xu Fanchao Lyu Hongbo zhang Fangjun Lu Shuangnan zhang Department of Astronomy Beijing Normal UniversityBeijing 100875China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Beijing 100049China School of Physics and Optoelectronics Xiangtan UniversityXiangtan 411105China College of Physics Hebei Normal UniversityShijiazhuang 050024China Guizhou Provincial Key Laboratory of Radio Astronomy and Data Processing Guizhou Normal UniversityGuiyang 550001China School of Physics and Electronic Science Guizhou Normal UniversityGuiyang 550001China Institute of Astrophysics Central China Normal UniversityWuhan 430079China College of physics Sciences Technology Hebei UniversityBaoding 071002China Physics and Space Science College China West Normal UniversityNanchong 637002China School of Computing and Artificial Intelligence Southwest Jiaotong UniversityChengdu 611756China College of Electronic and information Engineering Tongji UniversityShanghai 201804China Innovation Academy for Microsatellites of Chinese Academy of Sciences Shanghai 201304China National Space Science Center Chinese Academy of SciencesBeijing 100190China School of Earth and Space Sciences University of Science and Technology of ChinaHefei 230026China Electronic Information School Wuhan UniversityWuhan 430072China Key Laboratory of Transportation Meteorology of China Meteorological Administration Nanjing Joint Institute for Atmospheric SciencesNanjing 210000China Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

Fast and reliable localization of high-energy transients is crucial for characterizing the burst properties and guiding the follow-up *** based on the relative counts of different detectors has been widely used for all-sky gamma-ray *** are two major methods for this count distribution localization:χ^(2)minimization method and the Bayesian *** we propose a modified Bayesian method that could take advantage of both the accuracy of the Bayesian method and the simplicity of the χ^(2)*** comprehensive simulations,we find that our Bayesian method with Poisson likelihood is generally more applicable for various bursts than the χ^(2)method,especially for weak *** further proposed a location-spectrum iteration approach based on the Bayesian inference,which could alleviate the problems caused by the spectral difference between the burst and location *** method is very suitable for scenarios with limited computation resources or timesensitive applications,such as in-flight localization software,and low-latency localization for rapidly follow-up observations.

关键词： methods:data analysis methods:analytical (stars:)gamma-ray burst:general

年龄缺血性卒中史非阵发性心房颤动以及B型脑钠肽评分对非瓣膜性房颤卒中的预测价值

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中国实用内科杂志 2024年第2期44卷 140-147页

作者：王赞赞左征童轶张志国吉林大学第一医院心血管中心吉林长春130021

目的研究拟构建一种新的易于操作的非瓣膜性心房颤动患者发生缺血性卒中的风险预测模型。方法研究系回顾性队列研究,收集了2018年1月至2018年12月期间吉林大学第一医院治疗的429例心房颤动患者的病例资料。采用电话、微信、门诊等多... 详细信息

目的研究拟构建一种新的易于操作的非瓣膜性心房颤动患者发生缺血性卒中的风险预测模型。方法研究系回顾性队列研究,收集了2018年1月至2018年12月期间吉林大学第一医院治疗的429例心房颤动患者的病例资料。采用电话、微信、门诊等多种方式,对研究对象进行为期4年的随访,以缺血性脑卒中作为终点事件进行观察。随机将数据集按1∶1随机划分为训练集和验证集。在训练集中,采用单因素和多因素Logistic回归分析构建风险预测模型。通过列线图进行模型的可视化展示,并绘制受试者工作特征曲线和校准曲线评估模型的临床预测方面的价值。最后在验证集和整体数据集中进行模型的内部验证。结果在429例非瓣膜性心房颤动患者中,有91例发生了缺血性卒中,其发生率为21.2%。经过Logistic回归分析显示,年龄、缺血性卒中史、非阵发性房颤以及B型脑钠肽(BNP)是非瓣膜性房颤患者发生缺血性卒中的独立危险因素。基于此结果构建的ABSNp模型(A:年龄,B:BNP,S:缺血性卒中史,Np:非阵发性心房颤动)表现出良好的的区分度和准确性,在训练集、验证集及整体数据集上,其受试者工作特征曲线下面积分别为0.857(95%CI 0.795~0.918)、0.763(95%CI 0.692~0.833)、0.810(95%CI 0.763~0.857)。此外,临床决策曲线显示ABSNp模型具备较高的临床应用价值。结论 ABSNp模型能够更准确地预测非瓣膜房颤患者发生缺血性卒中风险。

关键词：非瓣膜性心房颤动缺血性卒中 CHA_(2)DS_(2)-VASc评分 CHADS_(2)评分

Guidelines and consensus:Jejunoileostomy for diabetes mellitussurgical norms and expert consensus(2023 version)

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World Journal of Diabetes 2024年第11期15卷 2182-2188页

作者： Ji-Wei Shen Chun-Yong Ji Xue-Dong Fang Bo yang Tian zhang zheng-Cai Li Hua-Zhi Li Zhi-yi Liu Jun Tang Chuan-Wen liao Ji-Zhou Lu Xuan yang Xin-Guo zhang Department of General Surgery Heilongjiang Provincial People's HospitalHarbin 150036Heilongjiang ProvinceChina Department of General Surgery Zhengzhou Central HospitalZhengzhou 450007Henan ProvinceChina Department of General Surgery The Third Affiliated Hospital of Jilin UniversityChangchun 130033Jilin ProvinceChina Department of General Surgery The Eighth Medical Center of the General Hospital of the People's Liberation ArmyBeijing 100091China Department of General Surgery 242 Affiliated Hospital of Shenyang Medical CollegeShenyang 110034Liaoning ProvinceChina Department of General Surgery Jingmen Petrochemical General Hospital in Hubei ProvinceJingmen 448001Hubei ProvinceChina Department of General Surgery Beijing Chuiyangliu Hospital Affiliated to Tsinghua UniversityBeijing 100022China Department of General Surgery The Fourth Hospital of Jilin UniversityChangchun 130011Jilin ProvinceChina Department of General Surgery The First People's Hospital of XiangtanXiangtan 411101Hunan ProvinceChina Department of General Surgery Jiangxi First People's HospitalNanchang 332000Jiangxi ProvinceChina Department of General Surgery The Third People's Hospital of Gansu ProvinceLanzhou 730020Gansu ProvinceChina Department of General Thoracic Surgery Liaoning Electric Power Center HospitalShenyang 110403Liaoning ProvinceChina Department of General Surgery The Third Medical Center of the General Hospital of the People's Liberation ArmyBeijing 100039China

Diabetes mellitus(DM)is a group of diseases characterized by high blood glucose caused by insufficient absolute or relative secretion of *** diagnosed,patients need long-term treatment with hypoglycemic ***,the existing first-line hypoglycemic drugs do not provide effective treatment for DM and its *** the past,the first generation and the second generation of weight loss surgery,such as gastric bypass and sleeve gastric surgery,had strict body mass index ***,post-surgery,patients are prone to fluctuating hypoglycemia,gastroesophageal reflux,and dumping ***,the curative effect of this type of surgery was compromised to a certain *** is a third-generation surgery for patients with DM,which has been shown to improve glucose and lipid metabolism,without changing the original gastrointestinal tract *** from previous weight loss surgeries,jejunoileostomy has been clinically observed to delay the development of DM-related ***,the postoperative complications are mild and do not affect the patient’s quality of *** on our clinical observations from multi-center large samples,our team developed a consensus on the operative period and perioperative management of jejunoileostomy as a reference for clinical researchers.

关键词： Surgical Diabetes Weight loss surgery Y-shaped anastomotic jejunal loops Jejunoileostomy

The In-Flight Realtime Trigger and Localization Software of GECAM

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Research in Astronomy and Astrophysics 2024年第10期24卷 11-24页

作者： Xiao-yun Zhao Shao-Lin Xiong Xiang-yang Wen Xin-Qiao Li Ce Cai Shuo Xiao Qi Luo Wen-Xi Peng Dong-Ya Guo zheng-Hua An Ke Gong Jin-Yuan liao Yan-Qiu zhang Yue Huang Lu Li Xing Wen Fei zhang Jing Duan Chen-Wei Wang Dong-Li Shi Peng zhang Qi-Bin yi Chao-yang Li Yan-Bing Xu Xiao-Hua Liang Ya-Qing Liu Da-Li zhang Xi-Lei Sun Fan zhang Gang Chen Huan-Yu Wang Sheng yang Xiao-Jing Liu Min Gao Mao-Shun Li Jin-Zhou Wang Xing Zhou yi Zhao Wang-Chen Xue Chao zheng Jia-Cong Liu Xing-Bo Han Jin-Ling Qi Jia Huang Ke-Ke zhang Can Chen Xiong-Tao yang Dong-Jie Hou Yu-Sa Wang Rui Qiao Xiang Ma Xiao-Bo Li Ping Wang Xin-ying Song Li-Ming Song Shi-Jie zheng Bing Li Hong-Mei zhang Yue Zhu Wei Chen Jian-Jian He Zhen zhang Jin Hou Hong-Jun Wang Yan-Chao Hao Xiang-Yu Wang Zong-Yuan yang Zhi-Long Wen Zhi Chang Yuan-Yuan Du Rui Gao Xiao-Fei Lan Yan-Guo Li Gang Li Xu-Fang Li Fang-Jun Lu Hong Lu Bin Meng Feng Shi Hui Wang Hui-Zhen Wang Yu-Peng Xu Jia-Wei yang Xue-Juan yang Shuang-Nan zhang Chao-Yue zhang Cheng-Mo zhang Zhi-Cheng Tang Cheng Cheng Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China School of Information Science and Technology Southwest Jiaotong UniversityChengdu 611756China Key Laboratory of Stellar and Interstellar Physics and Department of Physics Xiangtan UniversityXiangtan 411105China Physics and Space Science College China West Normal UniversityNanchong 637002China Department of Astronomy Beijing Normal UniversityBeijing 100875China Innovation Academy for Microsatellites of CAS Shanghai 201203China Changchun University of Science and Technology Changchun 130022China Chinese Academy of Sciences South America Center for Astronomy National Astronomical ObservatoriesCASBeijing 100101China

Realtime trigger and localization of bursts are the key functions of GECAM,an all-sky gamma-ray monitor launched on 2020 December *** developed a multifunctional trigger and localization software operating in the CPU of the GECAM Electronic *** onboard software has the following features:high trigger efficiency for real celestial bursts with a suppression of false triggers caused by charged particle bursts and background fluctuation,dedicated localization algorithm optimized for both short and long bursts,and low time latency of the trigger information which is downlinked through the Global Short Message Communication service of the global BeiDou navigation *** paper provides a detailed description of the design and development of the trigger and localization software system for *** covers the general design,workflow,the main functions,and the algorithms used in the *** paper also includes on-ground trigger tests using simulated gamma-ray bursts generated by a dedicated X-ray tube,as well as an overview of the performance for real celestial bursts during its in-orbit operation.

关键词： telescopes instrumentation:detectors methods:observational

面向城区的基于图去噪的小区级RSRP估计方法

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计算机应用 2024年第3期44卷 855-862页

作者：郑毅廖存燚张天倩王骥刘守印华中师范大学物理科学与技术学院武汉430079

移动通信系统网络的规划、部署和优化都不同程度依赖于参考信号接收功率(RSRP)估计的准确性。传统上,基站覆盖小区内某信号接收点的RSRP可由对应的无线传播模型估计。在城市环境中,不同小区的无线传播模型需要使用大量RSRP实测数据校正... 详细信息

移动通信系统网络的规划、部署和优化都不同程度依赖于参考信号接收功率(RSRP)估计的准确性。传统上,基站覆盖小区内某信号接收点的RSRP可由对应的无线传播模型估计。在城市环境中,不同小区的无线传播模型需要使用大量RSRP实测数据校正。由于不同小区环境存在差异,经过校正后的模型只适用于对应小区,且小区内的RSRP估计精度低。针对上述问题,将RSRP估计问题转化为图去噪问题,并通过图像处理与深度学习技术得到小区级无线传播模型,不仅能实现小区整体的RSRP估计,且能适用于相似环境小区。首先,通过随机森林回归器逐点预测每个接收点的RSRP,得到整个小区的RSRP估计图;然后,将RSRP估计图和实测RSRP分布图之间的损失视为RSRP噪声图,提出基于条件生成对抗网络(CGAN)的图去噪RSRP估计方法,通过电子环境地图反映小区的环境信息,有效地降低不同小区的RSRP。实验结果表明,在无实测数据的跨小区RSRP预测场景下,所提方法预测RSRP的均方根误差(RMSE)为6.77 dBm,相较于基于卷积神经网络的RSRP估计方法EFsNet下降2.55 dBm;在同小区RSRP预测场景下,相较于EFsNet,模型参数量减小80.3%。

关键词：条件生成对抗网络机器学习参考信号接收功率无线传播模型图去噪

Searching for^(76)Ge neutrinoless double beta decay with the CDEX-1B experiment

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Chinese Physics C 2024年第10期48卷 11-22页

作者： Bing-Tao zhang Jun-zheng Wang Li-Tao yang Qian Yue Ke-Jun Kang Yuan-Jing Li Hai-Peng An C.Greeshma Jian-Ping Chang yun-Huan Chen Jian-Ping Cheng Wen-Han Dai Zhi Deng Chang-Hao Fang Xin-Ping Geng Hui Gong Qiu-Ju Guo Xu-Yuan Guo Li He Sheng-Ming He Jin-Wei Hu Han-Xiong Huang Tu-Chen Huang Hai-Tao Jia Xi Jiang S.Karmakar Hao-Bin Li Jian-Min Li Jin Li Qian-yun Li Ren-Ming-Jie Li Xue-Qian Li Yu-Lan Li yi-Fan Liang Bin liao Fong-Kay Lin Shin-Ted Lin Jia-Xuan Liu Shu-Kui Liu Yan-Dong Liu Yu Liu Yuan-Yuan Liu Zhong-Zhi Liu Hao Ma Yu-Cai Mao Qi-Yuan Nie Jin-Hua Ning Hui Pan Ning-Chun Qi Jie Ren Xi-Chao Ruan Ze She Manoj Kumar Singh Tian-Xi Sun Chang-Jian Tang Wei-You Tang yang Tian Guang-Fu Wang Li Wang Qing Wang Yu-Feng Wang yun-Xiang Wang Henry-Tsz-King Wong Shi-Yong Wu Yu-Cheng Wu Hao-yang Xing Rui Xu yin Xu Tao Xue Yu-Lu Yan Nan yi Chun-Xu Yu Hai-Jun Yu Jian-Feng Yue Ming Zeng Zhi Zeng Feng-Shou zhang Lei zhang Zhen-Hua zhang Zhen-Yu zhang Kang-Kang Zhao Ming-Gang Zhao Ji-Fang Zhou Zu-ying Zhou Jing-Jun Zhou Key Laboratory of Particle and Radiation Imaging(Ministry of Education)and Department of Engineering Physics Tsinghua UniversityBeijing 100084 Department of Physics Tsinghua UniversityBeijing 100084 Institute of Physics Academia SinicaTaipei 11529 NUCTECH Company Beijing 100084 YaLong River Hydropower Development Company Chengdu 610051 College of Nuclear Science and Technology Beijing Normal UniversityBeijing 100875 College of Physics Sichuan UniversityChengdu 610065 School of Physics Peking UniversityBeijing 100871 Department of Nuclear Physics China Institute of Atomic EnergyBeijing 102413 Sino-French Institute of Nuclear and Technology Sun Yat-sen UniversityZhuhai 519082 School of Physics Nankai UniversityTianjin 300071 Department of Physics Banaras Hindu UniversityVaranasi 221005 Department of Physics Beijing Normal UniversityBeijing 100875

We operated a p-type point contact high purity germanium(PPCGe)detector(CDEX-1B,1.008 kg)in the China Jinping Underground Laboratory(CJPL)for 500.3 days to search for neutrinoless double beta(0νββ)decay of^(76)Ge.A total of 504.3 kg⋅day effective exposure data was *** anti-coincidence and the multi/single-site event(MSE/SSE)discrimination methods were used to suppress the background in the energy region of interest(ROI,1989–2089 keV for this work)with a factor of 23.A background level of 0.33 counts/(keV⋅kg⋅yr)was *** lower limit on the half life of^(76)Ge 0νββdecay was constrained as T_(1/2)^(0ν)>1.0×10^(23)yr(90%C.L.),corresponding to the upper limits on the effective Majorana neutrino mass:<3.2–7.5 eV.

关键词： neutrinoless double beta decay CDEX point-contact germanium detector ^(76)Ge

Two-dimensional materials for future information technology: status and prospects

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Science China(Information Sciences) 2024年第6期67卷 1-147页

作者： Hao QIU Zhihao YU Tiange ZHAO Qi zhang Mingsheng XU Peifeng LI Taotao LI Wenzhong BAO yang CHAI Shula CHEN yiqi CHEN Hui-Ming CHENG Daoxin DAI Zengfeng DI Zhuo DONG Xidong DUAN Yuhan FENG Yu FU Jingshu GUO Pengwen GUO Yue HAO Jun HE Xiao HE Jingyi HU Weida HU Zehua HU Xinyue HUANG Ziyang HUANG Ali IMRAN Ziqiang KONG Jia LI Qian LI Weisheng LI Lei liao Bilu LIU Can LIU Chunsen LIU Guanyu LIU Kaihui LIU Liwei LIU Sheng LIU Yuan LIU Donglin LU Likuan MA Feng MIAO Zhenhua NI Jing NING Anlian PAN Tian-Ling REN Haowen SHU Litao SUN Yue SUN Quanyang TAO Zi-Ao TIAN Dong WANG Hao WANG Haomin WANG Jialong WANG Junyong WANG Wenhui WANG Xingjun WANG Yeliang WANG Yuwei WANG Zhenyu WANG Yao WE... School of Electronic Science and Engineering Nanjing University School of Integrated Circuits Interdisciplinary Research Center for Future Intelligent Chips (Chip-X)Nanjing University School of Integrated Circuit Science and Engineering Nanjing University of Posts and Telecommunications State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences School of Physics and Key Lab of Quantum Materials and Devices of the Ministry of Education School of Electronic Science & EngineeringSoutheast University College of Integrated Circuits State Key Laboratory of Silicon and Advanced Semiconductor MaterialsZhejiang University Suzhou Laboratory State Key Laboratory of Integrated Chips and Systems School of MicroelectronicsFudan University Shaoxin Laboratory Department of Applied Physics The Hong Kong Polytechnic University Key Laboratory for Micro-Nano Physics and Technology of Hunan Province College of Materials Science and EngineeringHunan University College of Integrated Circuits Zhejiang University Shenzhen Geim Graphene Center Shenzhen Key Laboratory of Layered Materials for Value-Added ApplicationsTsinghua-Berkeley Shenzhen Institute & Institute of Materials ResearchTsinghua Shenzhen International Graduate SchoolTsinghua University State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational Research Center for Advanced PhotonicsZijingang CampusZhejiang University National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences CAS Key Laboratory of Nanophotonic Materials and Devices & Key Laboratory of Nanodevices and Applications i-LabSuzhou Institute of Nano-Tech and Nano-Bionics (SINANO)Chinese Academy of Sciences College of Chemistry and Chemical Engineering Hunan University Key Laboratory of Quantum State Construction and Manipulation (Ministry of Education) Department of PhysicsRenmin University of China School

Over the past 70 years, the semiconductor industry has undergone transformative changes,largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensional(2D) materials like transition metal dichalcogenides(TMDs) and graphene are pivotal in overcoming the limitations of silicon-based technologies, offering innovative approaches in transistor design and functionality, enabling atomic-thin channel transistors and monolithic 3D integration. We review the important progress in the application of 2D materials in future information technology, focusing in particular on microelectronics and optoelectronics. We comprehensively summarize the key advancements across material production, characterization metrology, electronic devices, optoelectronic devices, and heterogeneous integration on silicon. A strategic roadmap and key challenges for the transition of 2D materials from basic research to industrial development are outlined. To facilitate such a transition, key technologies and tools dedicated to 2D materials must be developed to meet industrial standards, and the employment of AI in material growth, characterizations, and circuit design will be essential. It is time for academia to actively engage with industry to drive the next 10 years of 2D material research.

关键词： two-dimensional (2D) materials information technology production technology standardization of characterization microelectronicdevices optoelectronic devices multi-functional integration

Investigation on the broadband electromagnetic wave absorption properties and mechanism of Co3O4- nanosheets/reduced-graphene-oxide composite

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Nano Research 2017年第3期10卷 980-990页

作者： yi Ding zheng zhang Baohe Luo Qingliang liao Shuo Liu yichong Liu Yue zhang State Key Laboratory for Advanced Metals and Materials School of Materials Science and Engineering University of Science and Technology Beijing Beijing 100083 China Beijing Municipal Key Laboratory of New Energy Materials and Technologies University of Science and Technology Beijing Beijing 100083 China

A cobaltosic-oxide-nanosheets/reduced-graphene-oxide composite （CoNSs@RGO） was successfully prepared as a light-weight broadband electromagnetic wave absorber. The effects of the sample thickness and amount of composite added to paraffin samples on the absorption properties were thoroughly investigated. Due to the nanosheet-like structure of Co3O4, the surface-to-volume ratio of the wave absorption material was very high, resulting in a large enhancement in the absorption properties. The maximum refection loss of the CoNSs@RGO composite was -45.15 dB for a thickness of 3.6 mm, and the best absorption bandwidth with a reflection loss below -10 dB was 7.14 GHz with a thickness of 2.9 mm. In addition, the peaks of microwave absorption shifted towards the low frequency region with increasing thickness of the absorbing coatings. The mechanism of electromagnetic wave absorption was attributed to impedance matching of CoNSs@RGO as well as the dielectric relaxation and polarization of RGO. Compared to previously reported absorbing materials, CoNSs@RGO showed better performance as a lightweight and highly efficient absorbing material for application in the high frequency band.

关键词： reduced graphene oxide cobaltosic oxide nanosheets X-ray techniques Raman spectroscopy dielectric loss

麻雀搜索算法优化极端梯度提升模型的岩石爆破块度预测

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科学技术与工程 2024年第24期24卷 10212-10219页

作者：张朋超赵有明刘翔廖黄正何秋芝易泽邦广西科技大学经济与管理学院柳州545006 柳州威宇爆破工程有限责任公司柳州545002 广西工业高质量发展研究中心柳州545006 桂林理工大学地球科学学院桂林541004

为进一步提高岩石爆破块度预测效果,利用多个矿山的岩石爆破统计数据,通过优化极端梯度提升模型(extreme gradient boosting, XGBoost)超参数,建立一种基于随机森林(random forest, RF)特征选择的麻雀搜索算法(sparrow search algorithm... 详细信息

为进一步提高岩石爆破块度预测效果,利用多个矿山的岩石爆破统计数据,通过优化极端梯度提升模型(extreme gradient boosting, XGBoost)超参数,建立一种基于随机森林(random forest, RF)特征选择的麻雀搜索算法(sparrow search algorithm, SSA)优化XGBoost爆破块度预测模型。利用麻雀搜索算法对XGBoost模型决策树数量、决策树最大深度、学习率3个核心超参数进行优化以提高运行效率;利用随机森林对输入特征进行筛选,并将优化后的特征集输入预测模型。结果表明:经特征集优化的模型,爆破块度预测效果整体上更加逼近实际值,且预测结果的可决系数(R-squared,R~2)、均方根误差(root mean square error, RMSE)和平均绝对误差(mean absolute error, MAE)分别为0.954、0.026和0.020,相较于BP(back propagation)神经网络、随机森林和XGBoost模型的效果更优,在实际应用中更具适用性,能为爆破参数设计和优化提供借鉴。

关键词：麻雀搜索算法(SSA) XGBoost模型爆破块度预测