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A Three-Dimensional SPH Simulation of Lander Footpad Impact on a Lunar Regolith Bed

Computer Modeling in Engineering & Sciences 2025年第2期142卷 2045-2066页

作者： Wanqing Yuan Huiying Xie Can huang Xiaoliang Wang Qingquan Liu Department of Mechanics School of Aerospace EngineeringBeijing Institute of TechnologyBeijing100081China Institute of Computational Aerodynamics China Aerodynamics Research and Development CenterMianyang621000China Institute of Large Structures for Advanced Industrial Equipment Beijing Institute of TechnologyZhuhai519088China

Landing spacecraft experience significant impact forces during landing,resulting in large deformation and failure in the soil surface,which severely affects landing safety and *** paper establishes a smoothed particle hydrodynamics(SPH)model based on the theory of soil elastoplastic constitutive relations to describe the process of a lander’s footpad impacting lunar regolith *** model can provide engineering indices such as impact load and penetration depth,and illustrate the large deformation and crater characteristics of the regolith.A detailed analysis of the response of the footpad and lunar regolith during landing reveals that the process can be broadly divided into two stages of rapid penetration and oscillatory ***,there are significant similarities in the landing process under different landing velocities and footpad *** research investigates the large deformation and crater characteristics of the lunar regolith *** results demonstrate two failure modes in the *** the impact of a footpad with a smaller mass,the final failure surface of the regolith exhibits a bowl-shaped profile with a uniformly open *** contrast,under the impact of a footpad with a larger mass,the final failure surface of the regolith presents an urn-shaped profile with a large abdomen and a small ***,the impact craters in both scenarios show a bowl-like *** cases of high-velocity impacts,the impact crater exhibits obvious blocky spalling on its *** SPH model developed in this study can be applied to predict the large deformation and failure response of lunar soil under the impact of rigid structures as well as the impact load and penetration *** effectively predicts the dynamic response of the landing process,which is expected to provide a reference for engineering design.

关键词： SPH footpad load lunar regolith impact crater

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Geochronology and geodynamic setting of the carbonate-hosted Pb-Zn deposits in world-class Sichuan-Yunnan-Guizhou triangle,South China

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Acta Geochimica 2025年第1期44卷 217-230页

作者： Zhongxi Xue Wenxin Shi Chen Wei Tao Wu Zhilong huang State key Laboratory of Ore Deposit Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China College of Mining Engineering Guizhou University of Engineering ScienceBijie 551700China Helmholtz-Zentrum Dresden Rossendorf Helmholtz Institute Freiberg for Resource Technology09599 FreibergGermany University of Chinese Academy of Sciences Beijing 100049China

Unraveling the precise mineralization age is vital to understand the geodynamic setting and ore-forming mechanism of the sediment-hosted Pb-Zn deposit;this has long been a *** Sichuan-Yunnan-Guizhou(SYG)triangle in the southwestern margin of the Yangtze Block is a globally recognized carbonate-hosted Pb-Zn metallogenic province and also an essential part of the South China low-temperature metallogenic *** region has>30 million tons(Mt)Zn and Pb resources and shows the enrichment of dispersed metals,such as Ga,Ge,Cd,Se,and *** the past 2 decades,abundant data on mineralization ages of Pb-Zn deposits within the SYG triangle have been documented based on various radioisotopic dating methods,resulting in significant progress in understanding the geodynamic background and ore formation of Pb-Zn deposits hosted in sedimentary rocks at SYG *** paper provides a comprehensive summary of the geochronological results and Pb-Sr isotopic data regarding Pb-Zn deposits in the SYG triangle,which identified two distinct Pb-Zn mineralization periods influencing the dynamic processes associated with the expansion and closure of the Paleo-Tethys Ocean in the western margin of the Yangtze *** predominant phase of Pb-Zn mineralization at SYG triangle spanned from the Middle Triassic to Early Jurassic(226-191 Ma),which was intensely correlated with the large-scale basin fluid transport triggered by the closure of the Paleo-Tethys Ocean and Indosinian *** secondary Pb-Zn mineralization phase occurred during the Late Devonian to Late Carboniferous and was controlled by extensional structures associated with the expansion of the Paleo-Tethys *** investigation is necessary to clarify the occurrence and potential factors involved in the Pb-Zn mineralization events during the Late Devonian to Late Carboniferous.

关键词： Sichuan-Yunnan-Guizhou triangle Carbonate hosted Pb-Zn deposit Radioisotopic dating Geodynamic setting Mississippi Valley-type(MVT)

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Sequence-controlled dynamic covalent units enable decoupling of mechanical and self-healing performance of polymers

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Science China Chemistry 2025年第2期68卷 745-753页

作者： Luzhi Zhang Hongfei huang Lijie Sun Xiaopeng Ma Hui Tan Zhengwei You Respiratory Department Shenzhen Children’s Hospital Affiliated to Shantou University Medical CollegeShenzhen 518038China State key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and EngineeringInstitute of Functional MaterialsResearch Base of Textile Materials for Flexible Electronics and Biomedical Applications(China Textile Engineering Society)Shanghai Key Laboratory of Lightweight CompositeShanghai Engineering Research Center of Nano-Biomaterials and Regenerative MedicineDonghua UniversityShanghai 201620China Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313001China

Sequence regulation provides an effective approach to controlling the properties of polymer ***,this approach remains an open question in the field of dynamic polymers,which emerge as more and more important new generation ***,we systematically investigate the effect of sequence control of dynamic covalent units in tuning the properties of *** sequence-controlled poly(oxime-urethanes)are *** dynamic oxime-urethane groups are relatively dispersed(SCP-1)or concentrated(SCP-2)distributed in their molecular *** sequence control strategy provides an efficient way to decouple the mechanical and self-healing performance of polymers,which is one of the most pressing challenges in the *** relatively dispersed oxime-urethane groups in SCP-1 not only facilitate the reorganization of the dynamic covalent bonds but also increase the probability of the reformation of hydrogen *** reversible dissociation/reassociation of dynamic bonds is conducive to dissipating energy to enhance mechanical performance and promote self-healing *** a result,SCP-1 exhibits much faster self-healing than SCP-2,and its tensile strength is nearly twice that of *** addition,energy dissipation capacity and degradation behavior also show significant sequence ***,this work reveals a new molecular structure-property relationship and provides a powerful strategy to construct high-performance polymers.

关键词： sequence control dynamic polymer poly(oxime-urethane) strength polyurethane

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Smaller, faster, lower-power analog RRAM matrix computing circuits without performance compromise

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Science China(Information Sciences) 2025年第2期68卷 293-306页

作者： Yubiao LUO Pushen ZUO Shiqing WANG Zhong SUN Ru huang School of Integrated Circuits Peking University Institute for Artificial Intelligence Peking University Beijing Advanced Innovation Center for Integrated Circuits

Recently, the analog matrix computing(AMC) concept has been proposed for fast, efficient matrix operations, by configuring global feedback loops with crosspoint resistive memory arrays and operational amplifiers(OAs). The implementation of a general real-valued matrix(containing both positive and negative elements) is enabled by using a set of analog inverters,which, however, is considered inefficient regarding circuit compactness, power consumption, and temporal response. Here, with the assistance of the conductance compensation(CC) strategy to take full advantage of the inherent differential inputs of OAs,new AMC circuits without analog inverters are designed. Such a design saves the area occupation and power dissipation of analog inverters, and thus turns to be smaller and lower-power. Simulation results reveal that the new circuit also shows a faster response towards the steady state, thanks to the reduction of poles in the circuit, which, again, is contributed by the elimination of analog inverters. Along with all of these benefits, extensive simulations demonstrate that the CC-AMC circuits do not compromise the computing performance in terms of relative error caused by various non-ideal factors in the circuit.

关键词： analog computing in-memory computing matrix resistive memory conductance compensation

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Rapid and specific fluorescent probe visualizes dynamic correlation of Cys and HClO in OGD/R

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Chinese Chemical Letters 2025年第1期36卷 437-441页

作者： Pei huang Weijie Zhang Junping Wang Fangjun Huo Caixia Yin Institute of Molecular Science Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of EducationShanxi UniversityTaiyuan 030006China Research Institute of Applied Chemistry Shanxi UniversityTaiyuan 030006China

Intracellular redox homeostasis is of indispensable importance in *** order to maintain the balance of the redox state within the cell,reactive oxygen species(ROS)and reactive sulfur species(RSS)react and transform with each other,and their levels also directly reflect the degree of oxidative stress and *** acid(HClO)and cysteine(Cys)usually co-exist in organisms,interacting with each other in many important physiological processes and synergistically maintaining the dynamic redox balance in the *** understand the relevance and pathophysiological effects of these two signaling molecules in oxidative stress,unique fluorescence imaging tools are ***,we designed and developed a dual-channel fluorescent probe HP,for the individual and continuous detection of HClO and *** probe could simultaneously monitor the changes in the concentrations of HClO and Cys in cells,and was characterized by a fast response,high sensitivity and high selectivity,especially compared with glutathione(GSH)and homocysteine(Hcy),the probe had a good specificity for ***,probe HP successfully observed dynamic changes in HCl O-and Cys-mediated redox status in the oxygenglucose deprivation/reperfusion(OGD/R)model of HeLa cells and dynamically monitored fluctuations in endogenous HClO levels in lipopolysaccharides(LPS)-induced peritonitis mice.

关键词： Redox homeostasis Dual-channel OGD/R Fluctuations Peritonitis

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When AI meets sustainable 6G

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Science China(Information Sciences) 2025年第1期68卷 4-22页

作者： Xiaohu YOU yongming huang Cheng ZHANG Jiaheng WANG Hao YIN Hequan WU National Mobile Communications Research Laboratory Southeast University Purple Mountain Laboratories Chinese Academy of Military Science China Information Communication Technologies Group

Sixth-generation(6G) networks are anticipated to achieve transformative advancements, characterized by extreme connectivity, deep integration with artificial intelligence(AI) and sensing, and airground integration. The evolution of 6G exhibits two major trends: ubiquitous intelligence and sustainability. The former aims to embed state-of-the-art AI technology into the 6G network, from the physical layers to applications, while the latter emphasizes reducing energy consumption while enhancing network performance to address environmental concerns. Despite the amazing progress in recent years, AI advancements come with substantial increases in data and computational overhead, posing critical challenges for integrating AI into sustainable 6G networks. First, high energy consumption from large datasets and heavyweight AI models contradicts6G's green goals. Second, the precise collection of large datasets, message delivery latency, and inference delays in AI models pose challenges for real-time tasks in 6G. Third, the uninterpretability and unpredictability of AI models complicate meeting the stringent requirements for controllable transmission in dynamic wireless environments. Addressing these challenges and achieving sustainable 6G with ubiquitous intelligence calls for a revolutionary design of 6G architecture and AI frameworks. To this end, this paper introduces a novel and practical methodology for green, real-time, and controllable 6G native intelligence,starting with knowledge graph(KG) analysis to extract small but critical datasets, followed by the development of distributed lightweight AI models, and the use of digital twins(DTs) to create precise replicas of physical 6G networks. This leads to a pervasive multi-level(PML)-AI framework supported by a task-centric, three-layer 6G architecture. The AI framework operates through non-real-time and real-time cycles, leveraging three key technologies: wireless data KGs for efficient data management,lightweight AI mode

关键词： artificial intelligence sustainable 6G green real-time controllable

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On-line determination of selenium compounds in tea infusion by extractive electrospray ionization mass spectrometry combined with a heating reaction device

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Chinese Chemical Letters 2025年第1期36卷 496-500页

作者： Lu huang Jiang Wang Hong Jiang Lanfang Chen Huanwen Chen Academician Workstation Jiangxi University of Chinese MedicineNanchang 330004China Suzhou Jingcheng Precision Instrument Technology Co. Ltd.Suzhou 215228China The First Affiliated Hospital of Nanchang University Nanchang 330006China

Selenium is one of the important trace elements in the human *** deficiency will directly affect human *** people's attention to health,the content of selenium in food has gradually attracted ***,detecting selenium compounds in complex samples remains a *** this work,we built an online heating-reaction *** device combines the electrospray extraction ionization mass spectrometry(EESI-MS)with the heating reaction device,which can simultaneously detect various selenium compounds in complex liquid *** acidic conditions,the sample was heated and catalyzed by a heating reaction device,so that the SeO~(2-)_(3)and O-phenylenediamine(OPD)could generate 1,3-dihydro-2,1,*** on the above reactions,we can detect organic selenium,inorganic selenium and other compounds in liquid samples by organic mass *** this experiment,we determined the content of three forms of selenium:selenomethionine(SeMet),l-selenocystine(SeCys(2)),and sodium *** calibration curves for SeMet,SeCys(2),and sodium selenite showed strong linearity within a range of 0.50-50.00μg/*** limits of detection(LOD)for the three compounds were 0.22,0.27,and 0.41μg/L,*** limits of quantification(LOQ)were 0.68,0.81,and 1.23μg/L,*** recoveries at three levels ranged from 98.8%to 106.1%.In addition,this method can simultaneously detect three selenium compounds and three other specific chemical components in tea infusion samples,providing a rapid and efficient method for identifying tea quality.

关键词： Heating reaction device Extractive electrospray ionization mass spectrometry Inorganic selenium Selenium compounds Tea infusion

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Penetration Estimation of GMA Backing Welding Based on Weld Pool Geometry Parameters

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Chinese Journal of Mechanical Engineering 2019年第3期32卷 134-144页

作者： Junfen huang Long Xue Jiqiang huang yong Zou ke Ma Opto-Mechatronic Equipment Technology Beijing Area Major Laboratory Beijing Institute of Petrochemical Technology

Penetration estimation is a prerequisite of the automation of backing welding based on vision sensing technology. However, the arc interference in welding process leads to the difficulties of extracting the weld pool characteristic information, which brings great challenges to the penetration estimation. At present, most researches focus on the extraction of weld pool geometry parameters, and the visual sensing systems are complex in structure and complicated in the image processing algorithms. The research of penetration estimation based on weld pool geometry parameters is still in the exploratory stage. The purpose of this paper is to research the relationship between the weld pool geometry parameters and the penetration during backing welding and to estimate penetration using the weld pool geometry parameters. A passive vision sensing test system for gas metal arc (GMA) backing welding was established. An image processing algorithm was developed to extract the weld pool geometry parameters, namely, the area, maximum width and length, half-length, length-width ratio and advancing contact angle (simplified as AWP, MWWP, MLWP, HLWP, LWR and ACA, respectively). The corresponding relationships between the weld pool geometry parameters and the penetration state were explored by analysing their changes with the welding current and speed. The distribution of the weld pool geometry parameters corresponding to penetration was determined. When the AWP of the weld pool is within a certain range and the values of LWR and ACA are close to their maximum and minimum respectively, the penetration is in good condition. A mathematical model with the weld pool geometry parameters as independent variables and the back-bead width (the indicator of the penetration state) as a dependent variable was established based on multivariable linear regression analysis, and relevant statistical tests were carried out. Multivariable linear regression equations for the weld pool geometry parameter

关键词： Welding automation Passive vision sensing Weld pool geometry parameters Penetration state Mathematical model

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Prediction of remaining parking spaces based on EMD-LSTM-BiLSTM neural network

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Journal of Traffic and Transportation Engineering(English Edition) 2025年第1期 201-213页

作者： Changxi Ma Xiaoting huang ke Wang yongpeng Zhao School of Traffic and Transportation Lanzhou Jiaotong University

The traffic congestion caused by the mismatch between the demand of car owners and the supply of parking spaces has become one of the severe traffic problems in various places. It is important to predict the remaining parking space which can not only help the driver to plan their trips reasonably but also reduce the pressure on urban road traffic. To reduce the stochastic fluctuations of complex data and improve the predictability of parking spaces, a hybrid prediction model EMD-LSTM-BiLSTM is proposed, which is combined the adaptive ability of empirical mode decomposition(EMD) to process time series data and the advantage of long short-term memory network(LSTM) and bidirectional long short-term memory network(BiLSTM) to solve long-range dependencies. First, the EMD algorithm is employed to decompose the components of different scales in the time series and generate a series of mode functions with the same characteristic scale. Next, the construction,training, and prediction of the LSTM-BiLSTM neural network are completed in the deep learning framework of keras. BiLSTM was built for proposing the bi-directional temporal features of the sequences, and LSTM was responsible for learning the output features,which effectively avoids large prediction errors. Finally, the performance of the model is verified by the actual parking data sets of different parking lots for parking space prediction. The proposed hybrid model is compared with a variety of current mainstream deep learning algorithms, and the effectiveness of the EMD-LSTM-BiLSTM method is *** results may provide some potential insights for parking prediction.

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Entire Solutions of Fermat-Type Partial Differential-Difference Equations in■

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Journal of Mathematical Research with Applications 2025年第1期45卷 56-72页

作者： Caoqiang TANG Zhigang huang School of Mathematical Sciences Suzhou University of Science and Technology

Abstract In this paper,we mainly investigate the forms of entire solutions for certain Fermattype partial differential-difference equations in ■by using Nevanlinna’s theory of several complex variables.

关键词： Fermat-type entire solution partial differential-difference equation

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