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Comparative study of different machine learning models in landslide susceptibility assessment: A case study of Conghua District, Guangzhou, China

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China Geology 2024年第1期7卷 104-115页

作者： ao Zhang Xin-wen Zhao Xing-yuezi Zhao Xiao-zhan Zheng Min Zeng Xuan Huang Pan Wu Tuo Jiang Shi-chang Wang Jun He Yi-yong li Wuhan Center China Geological SurveyMinistry of Natural Resources(Geosciences Innovation Center of Central South China)Wuhan 430205China Guangzhou Institute of Geological Survey Guangzhou 510080China Hubei Transportation Planning Design Institute Co. LtdWuhan 430050China

Machine learning is currently one of the research hotspots in the field of landslide prediction.To clarify and evaluate the differences in characteristics and prediction effects of different machine learning models,Conghua District,which is the most prone to landslide disasters in Guangzhou,was selected for landslide susceptibility evaluation.The evaluation factors were selected by using correlation analysis and variance expansion factor method.Applying four machine learning methods namely Logistic Regression(LR),Random Forest(RF),Support Vector Machines(SVM),and Extreme Gradient Boosting(XGB),landslide models were constructed.Comparative analysis and evaluation of the model were conducted through statistical indices and receiver operating characteristic(ROC)curves.The results showed that LR,RF,SVM,and XGB models have good predictive performance for landslide susceptibility,with the area under curve(AUC)values of 0.752,0.965,0.996,and 0.998,respectively.XGB model had the highest predictive ability,followed by RF model,SVM model,and LR model.The frequency ratio(FR)accuracy of LR,RF,SVM,and XGB models was 0.775,0.842,0.759,and 0.822,respectively.RF and XGB models were superior to LR and SVM models,indicating that the integrated algorithm has better predictive ability than a single classification algorithm in regional landslide classification problems.

关键词： Landslides susceptibility assessment Machine learning Logistic Regression Random Forest Support Vector Machines XGBoost Assessment model Geological disaster investigation and prevention engineering

动产和权利担保统一登记业务发展中的问题及建议——以吉林省为例

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征信 2024年第1期42卷 51-57页

作者：李澳中国人民银行吉林省分行吉林长春130000

自2021年1月1日在全国范围内开展动产和权利担保统一登记以来,吉林省统一登记系统登记业务扩规上量,丰富了中小微企业的融资途径,融资成效明显。以吉林省辖内107家金融机构为研究对象,分析当前吉林省统一登记系统的发展现状及存在的问题... 详细信息

自2021年1月1日在全国范围内开展动产和权利担保统一登记以来,吉林省统一登记系统登记业务扩规上量,丰富了中小微企业的融资途径,融资成效明显。以吉林省辖内107家金融机构为研究对象,分析当前吉林省统一登记系统的发展现状及存在的问题,并提出加强针对性政策引导激励、健全统一登记系统服务体系、完善统一登记系统功能等改进吉林省统一登记业务发展的建议。

关键词：动产和权利担保统一登记制度动产融资中小微企业融资

Review of roll-to-roll fabrication techniques for colloidal quantum dot solar cells

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Journal of Electronic Science and Technology 2023年第1期21卷 1-25页

作者： Yin-Fen Ma You-Mei Wang Jia Wen ao li Xiao-liang li Mei Leng Yong-Biao Zhao Zheng-Hong Lu Key Laboratory of Yunnan Provincial Higher Education Institutions for Optoelectronics Device Engineering Department of PhysicsSchool of Physics and AstronomyYunnan UniversityKunming650091China International Joint Research Center for Optoelectronic and Engineering Research Yunnan UniversityKunming650091China Department of Materials Science and Engineering University of TorontoTorontoM5S 3E4Canada

Colloidal quantum dots(CQDs)are of great interest to photovoltaic(PV)technologies as they possess the benefits of solution-processability,size-tunability,and roll-to-roll manufacturability,as well as unique capabilities to harvest near-infrared(NIR)radiation.During the last decade,lab-scale CQD solar cells have achieved rapid improvement in the power conversion efficiency(PCE)from~1%to 18%,which will potentially exceed 20%in the next few years and approach the performance of other PV technologies,such as perovskite solar cells and organic solar cells.In the meanwhile,CQD solar cells exhibit long lifetimes either under shelf storage or continuous operation,making them highly attractive to industry.However,in order to meet the industrial requirements,mass production techniques are necessary to scale up the fabrication of those lab devices into large-area PV modules,such as roll-to-toll coating.This paper reviews the recent developments of large-area CQD solar cells with a focus on various fabrication methods and their principles.It covers the progress of typical large-area coating techniques,including spray coating,blade coating,dip coating,and slot-die coating.It also discusses next steps and new strategies to accomplish the ultimate goal of the low-cost large-area fabrication of CQD solar cells and emphasizes how artificial intelligence or machine learning could facilitate the developments of CQD solar cell research.

关键词： Colloidal quantum dots(CQDs) Large-area fabrication Roll-to-roll Solar cells

Application of deep learning methods combined with physical background in wide field of view imaging atmospheric Cherenkov telescopes

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Nuclear Science and Techniques 2024年第4期35卷 208-220页

作者： ao-Yan Cheng Hao Cai Shi Chen Tian-Lu Chen Xiang Dong You-liang Feng Qi Gao Quan-Bu Gou Yi-Qing Guo Hong-Bo Hu Ming-Ming Kang Hai-Jin li Chen liu Mao-Yuan liu Wei liu Fang-Sheng Min Chu-Cheng Pan Bing-Qiang Qiao Xiang-li Qian Hui-Ying Sun Yu-Chang Sun ao-Bo Wang Xu Wang Zhen Wang Guang-Guang Xin Yu-Hua Yao Qiang Yuan Yi Zhang School of Physics and Technology Wuhan UniversityWuhan 430072China School of Physics and Astronomy Yunnan UniversityKunming 650091China Ministry of Education The Key Laboratory of Cosmic Rays(Tibet University)Lhasa 850000China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences 19 A Yuquan RoadShijingshan DistrictBeijing 100049China College of Physics Sichuan UniversityChengdu 610064China School of Intelligent Engineering Shandong Management UniversityJinan 250357China Tsung‑Dao Lee Institute Shanghai Jiao Tong UniversityShanghai 200240China Suzhou Aerospace Information Research Institute Suzhou 215123China College of Physics Chongqing UniversityNo.55 Daxuecheng South RoadHigh‑tech DistrictChongqing 401331China Key Laboratory of Dark Matter and Space Astronomy Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210008China

The High Altitude Detection of Astronomical Radiation(HADAR)experiment,which was constructed in Tibet,China,combines the wide-angle advantages of traditional EAS array detectors with the high-sensitivity advantages of focused Cherenkov detectors.Its objective is to observe transient sources such as gamma-ray bursts and the counterparts of gravitational waves.This study aims to utilize the latest AI technology to enhance the sensitivity of HADAR experiments.Training datasets and models with distinctive creativity were constructed by incorporating the relevant physical theories for various applications.These models can determine the type,energy,and direction of the incident particles after careful design.We obtained a background identification accuracy of 98.6%,a relative energy reconstruction error of 10.0%,and an angular resolution of 0.22°in a test dataset at 10 TeV.These findings demonstrate the significant potential for enhancing the precision and dependability of detector data analysis in astrophysical research.By using deep learning techniques,the HADAR experiment’s observational sensitivity to the Crab Nebula has surpassed that of MAGIC and H.E.S.S.at energies below 0.5 TeV and remains competitive with conventional narrow-field Cherenkov telescopes at higher energies.In addition,our experiment offers a new approach for dealing with strongly connected,scattered data.

关键词： VHE gamma-ray astronomy HADAR Deep learning Convolutional neural networks

The 10 Most Influential Heavy Rain Events in China in 2022:Selection and Evaluation

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Journal of Meteorological Research 2023年第6期37卷 908-918页

作者： ao li Hao YANG Chunguang CUI Tao PENG Yishan liao Ming XU Xiaofang WANG CMA Basin Heavy Rainfall Key Laboratory/Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research Institute of Heavy RainChina Meteorological Administration(CMA)Wuhan430205China Hubei Public Meteorological Service Centre Wuhan430074China

In 2022,a campaign to select and recognize 10 most influential heavy rain events(HREs)in China was initiated by the Chinese Meteorological Society and Wuhan Heavy Rain Research Institute of the China Meteorological Administration(CMA).A work flow involving both scientists and the general public for selecting major HREs over the Chinese mainland was implemented,and several evaluation indices that can represent HREs as well as associated causality and economic losses were established,based on which the top 10 most influential HREs in 2022 were recognized and announced to the public.The present paper introduces the selection and evaluation process and summarizes the main results.It is found that 38 major HREs occurred in South,North,and Northeast China in 2022,with the Pearl River basin and Songliao basin experiencing severe floods.A number of HREs occurred in Southwest China with high rainfall intensity,but small cumulative amount.Upper-level troughs,low vortices,low-level jets,low-level shear lines,the subtropical high,and typhoons are the main weather systems leading to the top 10 most influential HREs in 2022.Selection and evaluation of HREs form a quantitative record of major HREs,help concentrate limited research efforts on investigating the causes of major HREs,and promote the improvement of HRE forecasting skills.

关键词： heavy rain events(HREs) evaluation indices China 2022

Ionic potency regulation of coagulation bath induced by saline solution to control over the pore structure of PBI membrane for highperformance lithium metal batteries

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Journal of Energy Chemistry 2024年第7期94卷 288-298页

作者： Arshad Hussain Waseem Raza Andleeb Mehmood Sana Jalees lihong ao Yonggui Deng Aymeric Ramiere Xingke Cai Dongqing liu College of Civil and Transportation Engineering Shenzhen UniversityShenzhen 518060GuangdongChina Institute for Advanced Study Shenzhen UniversityShenzhen 518060GuangdongChina Institute of Carbon Neutrality Zhejiang Wanli UniversityNingbo 315100ZhejiangChina College of light Industry and Chemical Engineering Dalian Polytechnic UniversityDalian 116034LiaoningChina College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060GuangdongChina College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060GuangdongChina

In this study,we have explored the use of water as a non-solvent for tuning the microstructure of poly-benzimidazole(PBI)membranes,which are potential separators for lithium metal batteries(LMBs).The traditional method for membrane synthesis called nonsolvent-induced phase separation(NIPS),usually relies on hazardous and costly organic non-solvents.By dissolving sodium chloride(Nacl)in water,we could adjust the water ionic potency and the exchange speed of the non-solvent with the DMAC solution to change the micropore structure of the PBI membrane.With increasing Nacl concentration,the micro-pores in the PBI membrane transitioned from finger-like to sponge-like morphology.Compared to com-mercial separators like the Celgard separator,the PBI membrane with sponge-like micropores exhibited better regulation of lithium deposition and improved li^(+) transportation capability due to its good wetta-bility with the electrolyte.Consequently,the PBI membrane-based li/li symmetric cell and li/liFePO_(4) full cell demonstrated superior performance compared to the Celgard-based ones.This research proposes an eco-friendly and scalable synthetic approach for fabricating commercial separators for LMBs,addressing the issue of lithium dendrite growth and improving overall battery safety and performance.

关键词： lithium metal-based battery Salt-induced Polybenzimidazole Tunablemorphology lonic potency

Hydrochar Pelletization towards Solid Biofuel from Biowaste Hydrothermal Carbonization

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Journal of Renewable Materials 2023年第1期11卷 411-422页

作者： ao li Kai Jin Jinrui Qin Zhaowei Huang Yu liu Rui Chen Tengfei Wang Junmin Chen Faculty of Geosciences and Environmental Engineering Southwest Jiao Tong UniversityChengdu611756China

Hydrothermal carbonization is highly applicable to high moisture biomass upgrading due to the fact that moist-ure involved can be directly used as reaction media under the subcritical-water region.With this,value-added utilization of hydrochar as solid fuel with high carbon and energy density is one of the important pathways for biomass conversion.In this review,the dewatering properties of hydrochar after the hydrothermal carbonization of biowaste,coalification degree with elemental composition and evolution,pelletization of hydrochar to enhance the mechanical properties and density,coupled with the combustion properties of hydrochar biofuel were discussed with various biomass and carbonization parameters.Potential applications for the co-combustion with coal,cleaner properties and energy balance for biowaste hydrothermal carbonization were presented as well as the challenges.

关键词： Biomass hydrothermal carbonization hydrochar pelletization

N^(6)-腺苷甲基化修饰及其对liNE-1的调控机制

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遗传 2024年第3期46卷 209-218页

作者：张傲岑山李晓宇中国医学科学院&北京协和医学院医药生物技术研究所免疫生物学室北京100050

长散布元件-1(long interspersed elements-1,liNE-1)是现今在人类基因组中唯一具有自主转座能力的转座子,其转座会引起细胞基因组结构和功能的改变,是导致多种严重疾病的重要因素。在转座过程中,liNE-1 mRNA是转座中间体的核心,宿主细... 详细信息

长散布元件-1(long interspersed elements-1,liNE-1)是现今在人类基因组中唯一具有自主转座能力的转座子,其转座会引起细胞基因组结构和功能的改变,是导致多种严重疾病的重要因素。在转座过程中,liNE-1 mRNA是转座中间体的核心,宿主细胞对其进行相关修饰直接影响转座。N^(6)-腺苷甲基化修饰(m^(6)A)是真核细胞RNA上最丰富且动态可逆的表观遗传修饰。目前发现m^(6)A修饰也存在于liNE-1 mRNA上,参与liNE-1整个生命周期的调控,影响其转座和基因组中liNE-1相邻基因的表达,进而影响基因组稳定性、细胞自我更新与分化潜能,在人类发育和疾病中具有重要作用。本文介绍了liNE-1 m^(6)A修饰的位置、功能以及相关机制,并总结了liNE-1的m^(6)A修饰对其转座调控的研究进展,以期为相关疾病发生发展的机制研究和治疗提供新的思路。

关键词： m^(6)A修饰逆转录转座子 liNE-1 基因组基因组稳定性

Optimization of Open-cast Mining Procedure Based on RSR Method

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Asian Agricultural Research 2024年第4期16卷 23-26,32页

作者： Qingyou ao Zhongfei li Shudong liU Wenjie XIA lin liN State Power Investment Corporation Inner Mongolia Energy Co. Ltd.Tongliao 029200China Huolinhe North Surface Mine No.3 of Inner Mongolia Power Investment Energy Co. Ltd.Tongliao 029200China Huolinhe South Surface Mine of Inner Mongolia Power Investment Energy Co. Ltd.Tongliao 029200China CCTEG Shenyang Engineering Company Shenyang 110015China

To explore the optimal evaluation mechanism of open-cast mining procedure,this paper takes the actual operation status of Huolinhe No.1 Open-cast Mine as the research basis,and makes a deep analysis of the four representative mining procedures proposed by this mine.A detailed and comprehensive evaluation system is constructed using rank-sum ratio(RSR)method.The system covers 17 key indicators and aims to evaluate the advantages and disadvantages of each scheme in an all-round and multi-angle manner.Through the calculation and analysis by RSR method,the comprehensive evaluation of the four types of mining procedure schemes is carried out,and finally the secondary river improvement project is determined as the optimal mining implementation scheme,and the joint mining scheme of the south and north areas is the alternative strategy.The research results of this paper are objective,clear and definite,can not only reveal the effectiveness and feasibility of RSR method in solving the problem of open-cast mining procedure optimization,but also provide a strong technical support and decision-making basis for the future production development of Huolinhe No.1 Open-cast Mine.Thus,this study is expected to further promote the scientific and refined process of mining operations.

关键词： Mining procedure Evaluation mechanism Rank-sum ratio (RSR) method Comprehensive evaluation Optimization