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A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1.80 to 201. based on machine learning

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Big Earth Data 2024年第2期8卷 274-301页

作者： Yanxing Hu Tao Che Liyun Dai Yu Zhu Lin Xiao Jie Deng Xin Li key {1. of Remote Sensing of Gansu Province Heihe Remote Sensing Experimental Research StationNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina State key {1. of Tibetan Plateau Earth System Resources and Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijingChina Yunnan key {1. of International Rivers and Transboundary Eco-Security Institute of International Rivers and Eco-SecurityYunnan UniversityKunmingChina National Forestry and Grassland Administration key {1. of Forest Resource Conservation and Ecological Safety on the Upper Reaches of the Yangtze River Sichuan Province Key Laboratory of Ecological Forestry Engineering on the Upper Reaches of the Yangtze RiverCollege of ForestrySichuan Agricultural UniversityChengduChina

A high-quality snow depth product is very import for cryospheric science and its related *** long time-series snow depth products covering the Northern Hemisphere can be divided into two categories:remote sensing snow depth products and reana-lysis snow depth ***,existing gridded snow depth products have some *** sensing-derived snow depth products are temporally and spatially discontinuous and tend to underestimate snow depth,while reanalysis snow depth products have coarse spatial resolutions and great *** overcome these problems,in our previous work we proposed a novel data fusion framework based on Random Forest Regression of snow products from Advanced Microwave Scanning Radiometer for the Earth Observing System(AMSR-E),Advanced Microwave Scanning Radiometer-2(AMSR2),Global Snow Monitoring for Climate Research(GlobSnow),the Northern Hemisphere Snow Depth(NHSD),ERA-Interim,and Modern-Era Retrospective Analysis for Research and Applications,ver-sion 2(MERRA-2),incorporating geolocation(latitude and longitude),and topographic data(elevation),which were used as input indepen-dent *** than 30,000 ground observation sites were used as the dependent variable to train and validate the model in different time *** fusion framework resulted in a long time series of continuous daily snow depth product over the Northern Hemisphere with a spatial resolution of 0.25°.Here,we compared the fused snow depth and the original gridded snow depth products with 1.,272 observation sites,showing an improved precision of our *** evaluation indices of the fused(best original)dataset yielded a coeffi-cient of determination R2 of 0.81.0.23),Root Mean Squared Error(RMSE)of 7.69(1..86)cm,and Mean Absolute Error(MAE)of 2.74(6.1.)*** of the bias(88.31.)between the fused snow depth and in situ observations was in the range of−5 cm to 5 *** accuracy assessment of independent snow observation sites-Sodank

关键词： Snow depth datasets machine learning data fusion Northern Hemisphere

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Attitude Tracking Control for Rigid Spacecraft with Arbitrary Convergence Time

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Journal of Systems Science & Complexity 2024年

作者： XU Yu-Tian WU Ai-Guo Guangdong Provincial key {1. of Intelligent Morphing Mechanisms and Adaptive Robotics Harbin Institute of Technology (Shenzhen) key University {1. of Mechanism & machine Theory and Intelligent Unmanned Systems of Guangdong Harbin Institute of Technology (Shenzhen) Department of Automation Harbin Institute of Technology (Shenzhen) Shenzhen 518055 China4HIT Wuhu Robot Technology Research Institute

In this paper, attitude tracking control with arbitrary convergence time for rigid spacecraft is considered. First, a novel time-varying sliding function is proposed to achieve free-will arbitrary time convergence when the system states reside on the sliding surface. With such a sliding function, an attitude tracking controller is designed to guarantee that the states of the closed-loop system converge to the sliding surface within a predetermined time in the presence of external disturbances. The free-will arbitrary time convergences of the closed-loop system and sliding function are illustrated by numerical simulations.

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Prediction of soil organic carbon stock combining Sentinel-1.and Sentinel-2 images in the Zoige Plateau, the northeastern Qinghai-Tibet Plateau

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Ecological Processes 2024年第2期13卷 165-176页

作者： Junjie Lei Changli Zeng Lv Zhang Xiaogang Wang Chanhua Ma Tao Zhou Benjamin Laffitte Ke Luo Zhihan Yang Xiaolu Tang State key {1. of Geohazard Prevention and Geoenvironment Protection Chengdu University of Technology Sichuan Academy of Geological Survey Sichuan Institute of Nuclear Geological Survey College of Earth Sciences Chengdu University of Technology Tianfu Yongxing laboratory

Background Soil organic carbon（SOC） is a critical component of the global carbon cycle, and an accurate estimate of regional SOC stock（SOCS） would significantly improve our understanding of SOC sequestration and cycles. Zoige Plateau, locating in the northeastern Qinghai-Tibet Plateau, has the largest alpine marsh wetland worldwide and exhibits a high sensitivity to climate fluctuations. Despite an increasing use of optical remote sensing in predicting regional SOCS, optical remote sensing has obvious limitations in the Zoige Plateau due to highly cloudy weather, and knowledge of on the spatial patterns of SOCS is limited. Therefore, in the current study, the spatial distributions of SOCS within 1.0 cm were predicted using an XGBoost model—a machine learning approach, by integrating Sentinel-1. Sentinel-2 and field observations in the Zoige *** The results showed that SOC content exhibited vertical distribution patterns within 1.0 cm, with the highest SOC content in topsoil. The tenfold cross-validation approach showed that XGBoost model satisfactorily predicted the spatial patterns of SOCS with a model efficiency of 0.59 and a root mean standard error of 95.2 Mg ha-1. Predicted SOCS showed a distinct spatial heterogeneity in the Zoige Plateau, with an average of 355.7 ± 1.3.1.Mg ha-1.ithin 1.0 cm and totaled 0.27 × 1.～9 Mg *** High SOC content in topsoil highlights the high risks of significant carbon loss from topsoil due to human activities in the Zoige Plateau. Combining Sentinel-1.and Sentinel-2 satisfactorily predicted SOCS using the XGBoost model, which demonstrates the importance of selecting modeling approaches and satellite images to improve efficiency in predicting SOCS distribution at a fine spatial resolution of 1. m. Furthermore, the study emphasizes the potential of radar（Sentinel-1. in developing SOCS mapping, with the newly developed fine-resolution mapping having important applications in land management, ecological resto

关键词： SOC Vegetation index Texture XGBoost Sentinel-1 Sentinel-2

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Insights into plant salt stress signaling and tolerance

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Journal of Genetics and Genomics 2024年第1期51卷 16-34页

作者： Huapeng Zhou Haifan Shi Yongqing Yang Xixian Feng Xi Chen Fei Xiao Honghui Lin Yan Guo key {1. of Bio-Resource and Eco-Environment of Ministry of Education College of Life SciencesSichuan UniversityChengduSichuan 610064China State key {1. of Plant Environmental Resilience China Agricultural UniversityBeijing 100193China College of Grassland Science Nanjing Agricultural UniversityNanjingJiangsu 210095China Xinjiang key {1. of Biological Resources and Genetic Engineering College of Life Science and TechnologyXinjiang UniversityUrumqiXinjiang 830046China

Soil salinization is an essential environmental stressor,threatening agricultural yield and ecological security *** soils accumulate excessive soluble salts which are detrimental to most plants by limiting plant growth and *** is of great necessity for plants to efficiently deal with the adverse effects caused by salt stress for survival and successful *** determinants of salt tolerance have been identified in plants,and the cellular and physiological mechanisms of plant salt response and adaption have been intensely *** respond to salt stress signals and rapidly initiate signaling pathways to re-establish cellular homeostasis with adjusted growth and cellular *** review summarizes the advances in salt stress perception,signaling,and response in plants.A better under-standing of plant salt resistance will contribute to improving crop performance under saline conditions using multiple engineering *** rhizosphere microbiome-mediated plant salt tolerance as well as chemical priming for enhanced plant salt resistance are also discussed in this review.

关键词： Salt stress Salt perception Salt response and signaling Plant salt tolerance Chemical priming Rhizosphere microbiome

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Estimation of tunnel axial orientation in the interlayered rock mass using a comprehensive algorithm

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第7期16卷 2579-2590页

作者： Hui Li Weizhong Chen Xianjun Tan State key {1. of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China

The axial selection of tunnels constructed in the interlayered soft-hard rock mass affects the stability and safety during *** optimization is primarily based on experience or comparison and selection of alternative values under specific geological *** this work,an intelligent optimization framework has been proposed by combining numerical analysis,machine learning(ML)and optimization *** automatic and intelligent numerical analysis process was proposed and coded to reduce redundant manual *** conventional optimization algorithm was developed from two aspects and applied to the hyperparameters estimation of the support vector machine(SVM)model and the axial orientation optimization of the ***,the comprehensive framework was applied to a numerical case study,and the results were compared with those of other *** results of this study indicate that the determination coefficients between the predicted and the numerical stability evaluation indices(STIs)on the training and testing datasets are 0.998 and 0.997,*** a given geological condition,the STI that changes with the axial orientation shows the trend of first decreasing and then increasing,and the optimal tunnel axial orientation is estimated to be 87.This method provides an alternative and quick approach to the overall design of the tunnels.

关键词： Tunnel Building information modeling Design optimization Particle swarm optimization Support vector machine(SVM)

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机器学习方法及应用:光电半导体材料计算设计

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Science China Materials 2024年第4期67卷 1042-1081页

作者：杨晓雨周琨贺欣张立军 State key {1. of Integrated Optoelectronics Key Laboratory of Automobile Materials of MOEKey Laboratory of Material Simulation Methods&Software of MOEand School of Materials Science and EngineeringJilin UniversityChangchun 130012China

高通量计算与材料数据库推动了数据驱动的机器学习方法的发展.机器学习已经成为材料计算研究的重要方法,在分析材料数据、加速材料计算、预测材料性质、推进新材料发现、筛选和设计等方面展现出极大的潜力.众多与材料计算相交叉的机器... 详细信息

高通量计算与材料数据库推动了数据驱动的机器学习方法的发展.机器学习已经成为材料计算研究的重要方法,在分析材料数据、加速材料计算、预测材料性质、推进新材料发现、筛选和设计等方面展现出极大的潜力.众多与材料计算相交叉的机器学习方法、模型以及框架不断涌现.本文综述了近年来光电半导体材料计算设计领域内机器学习方法的最新进展与应用.介绍了机器学习的流程与类型,基于不同材料表示方法的浅层模型、集成模型和深度神经网络,以及相关材料数据库和相关工具.我们还讨论了这些模型在预测材料稳定性与光电性质、材料逆向设计、构建材料构效关系等方面的应用.最后,本文对目前机器学习方法存在的机遇与挑战,即数据数量与质量、材料的表示、材料逆向设计做了进一步总结与讨论.

关键词：材料数据库机器学习深度神经网络逆向设计数据驱动材料计算集成模型光电性质

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In-plane isotropic separator-induced highly efficient sodium plating for unlocking the fast-charging capability of anode-free sodium battery at practical conditions

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Journal of Materiomics 2024年第3期10卷 643-651页

作者： Haocheng Yuan Kaihua Wen Shundong Guan Ying Liang Yu-Hsien Wu Sijie Liu Dengfeng Yu Liangliang Li Ce-Wen Nan State key {1. of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijing100084China

Ether-based electrolytes with excellent reductive stability are compatible with sodium(Na)metal an-odes,which enables stable cycling for Na metal batteries even in an anode-free ***,the practical applications of anode-free sodium batteries(AFSBs)with a high theoretical energy density are restricted by the low-rate capability and limited cycle *** we demonstrate that the mechanical properties of the separators,which have been overlooked in previous studies,can significantly affect the cycling stability of AFSBs due to the intrinsic softness of Na and the large volume variation of AFSBs during Na plating/*** using various separators including polypropylene(PP),polyethylene(PE),PP/PE/PP tri-layer,and aluminum oxide-coated separators,we find that the balanced elastic moduli of the separator along the machine direction and transverse direction are crucial for enabling highly effi-cient Na plating and unlocking the 4 C fast-charging capability of the AFSBs at practical conditions including a high cathode active mass loading(1..5 mg/cm^(2)),lean electrolyte addition(8.8 mL/cm^(2)),and no pre-sodiation *** study provides an important separator design principle for the develop-ment of high-rate and long-cycle-life AFSBs.

关键词： Sodium metal Elastic modulus Ether electrolyte Sodium battery Short circuit

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Dynamic Vision Enabled Contactless Cross-Domain machine Fault Diagnosis With Neuromorphic Computing

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 788-790页

作者： Xinrui Chen Xiang Li Shupeng Yu Yaguo Lei Naipeng Li Bin Yang the key {1. of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong UniversityXi’an 710049China

Dear Editor,This letter presents a novel dynamic vision enabled contactless cross-domain fault diagnosis method with neuromorphic *** event-based camera is adopted to capture the machine vibration states in the perspe... 详细信息

关键词： fault less diagnosis

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Diving dynamics identification and motion prediction for marine crafts using field data

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Journal of Ocean Engineering and Science 2024年第4期9卷 391-400页

作者： Yiming Zhong Caoyang Yu Yulin Bai Zheng Zeng Lian Lian School of Oceanography Shanghai Jiao Tong UniversityShanghai 200030China key {1. of Polar Ecosystem and Climate Change Ministry of EducationShanghai Jiao Tong UniversityShanghai 200030China Shanghai key {1. of Polar Life and Environment Sciences Shanghai Jiao Tong UniversityShanghai 200030China State key {1. of Ocean Engineering Shanghai Jiao Tong UniversityShanghai 200240China

Ensuring accurate parameter identification and diving motion prediction of marine crafts is essential for safe navigation,optimized operational efficiency,and the advancement of marine *** this,this paper proposes an instrumental variable-based least squares(IVLS)***,aiming to balance complexity with accuracy,a decoupled diving model is constructed,incorporating nonlinear actuator characteristics,inertia coefficients,and damping ***,a discrete parameter identification matrix is designed based on this dedicated model,and then a IVLS algorithm is innovatively derived to reject measurement ***,the stability of the proposed algorithm is validated from a probabilistic point of view,providing a solid theoretical ***,performance evaluation is conducted using four depth control datasets obtained from a piston-driven profiling float in Qiandao Lake,with desired depths of 30 m,40 m,50 m,and 60 *** on the diving dynamics identification results,the IVLS algorithm consistently shows superior performance when compared to recursive weighted least squares algorithm and least squares support vector machine algorithm across all depths,as evidenced by lower average absolute error(AVGAE),root mean square error(RMSE),and maximum absolute error values and higher determination coefficient(R2).Specifically,for desired depth of 60 m,the IVLS algorithm achieved an AVGAE of 0.553 m and RMSE of 0.655 m,significantly outperforming LSSVM with AVGAE and RMSE values of 8.782 m and 1..1.7 m,***,the IVLS algorithm demonstrates a remarkable generalization capability with R2 values consistently above 0.95,indicating its robustness in handling varied diving dynamics.

关键词： Marine craft Parameter identification Motion prediction Instrumental variable-based least-squares algorithm Diving dynamics model

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Recent Developments in Metallic Degradable Micromotors for Biomedical and Environmental Remediation Applications

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Nano-Micro Letters 2024年第3期16卷 1-35页

作者： Sourav Dutta Seungmin Noh Roger Sanchis Gual Xiangzhong Chen Salvador Pané Bradley J.Nelson Hongsoo Choi Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Republic of Korea DGIST‑ETH Microrobotics Research Center DGISTDaegu 42988Republic of Korea Multi‑Scale Robotics Lab Institute of Robotics and Intelligent SystemsETH Zurich8092 ZurichSwitzerland Institute of Optoelectronics State Key Laboratory of Photovoltaic Science and TechnologyShanghai Frontiers Science Research Base of Intelligent Optoelectronics and PerceptionFudan UniversityShanghai 200433People’s Republic of China

Synthetic micromotor has gained substantial attention in biomedicine and environmental ***-based degradable micromotor composed of magnesium(Mg),zinc(Zn),and iron(Fe)have promise due to their nontoxic fuel-free propulsion,favorable biocompatibility,and safe excretion of degradation products Recent advances in degradable metallic micromotor have shown their fast movement in complex biological media,efficient cargo delivery and favorable biocompatibility.A noteworthy number of degradable metal-based micromotors employ bubble propulsion,utilizing water as fuel to generate hydrogen *** novel feature has projected degradable metallic micromotors for active in vivo drug delivery *** addition,understanding the degradation mechanism of these micromotors is also a key parameter for their design and *** propulsion efficiency and life span govern the overall performance of a degradable metallic *** we review the design and recent advancements of metallic degradable ***,we describe the controlled degradation,efficient in vivo drug delivery,and built-in acid neutralization capabilities of degradable micromotors with versatile biomedical ***,we discuss micromotors’efficacy in detecting and destroying environmental ***,we address the limitations and future research directions of degradable metallic micromotors.

关键词： Magnesium Zinc Iron Biodegradable microrobot Biomedical Environmental

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