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An overview and perspective of identifying lunar craters

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Science China Earth Sciences 2024年第5期67卷 1395-1416页

作者： Yan jiang Changyi Xu Ling CHEN State Key Laboratory of Lithospheric Evolution Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100029China Key Laboratory of Earth and Planetary Physics Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100049China

The spatiotemporal evolution of lunar impact craters is crucial for investigating lunar interior structure,internal and external dynamic processes,and interplanetary impact history.Advances in lunar crater identification are reviewed based on topography and gravity data,and the features and mechanisms of topographic or buried craters are analyzed regarding morphology,gravity anomalies,gravity gradients,and the underlying crust-mantle interface relief.Based on the compiled crater catalog,the early lunar impact flux and thermal evolution are further discussed according to the basin ages and their interior structures.For some ancient impact basins,the crater size-frequency distribution measurements revealed age discrepancies from previous studies,suggesting that the lunar late heavy bombardment event started at~3.95 Ga.The degraded bulge structures of the crust-mantle interface beneath mare basins reveal that these basins formed on the lunar crust surface under high-temperature conditions and underwent prolonged relaxation compared to highland basins.Finally,we reveal that the up-to-date identification of lunar buried craters remains inaccurate and incomplete,preventing us from accurately reconstructing lunar and interplanetary impact histories.Therefore,we propose that a gravity model constructed using localized orthogonal basis functions can be useful for identifying lunar craters.

关键词： Moon Gravity field Craters Impact flux Early evolution

探地雷达数值模拟与道路裂缝图像检测的深度学习增强方法

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地球物理学报 2024年第6期67卷 2455-2471页

作者：刘震顾兴宇李骏董侨蒋继望东南大学交通学院南京211189 贵州省凯里公路局贵阳550008

针对路面结构内部裂缝的无损检测与智能识别需求,提出一种基于改进的YOLOv8和AutoAugment增强的探地雷达检测与图像自动识别方法.结合Gprmax数值模拟、室内模型试验及现场探地雷达测试,分析得出内部裂缝在探地雷达图像上呈现出明显的"... 详细信息

针对路面结构内部裂缝的无损检测与智能识别需求,提出一种基于改进的YOLOv8和AutoAugment增强的探地雷达检测与图像自动识别方法.结合Gprmax数值模拟、室内模型试验及现场探地雷达测试,分析得出内部裂缝在探地雷达图像上呈现出明显的"双曲线"特征,且裂缝宽度与双曲线的幅度成正比.利用MALA探地雷达GX-750检测获取路面结构内部裂缝病害图像,经多重滤波处理后采用640×640的像素框进行截取.针对裂缝特征在探地雷达图像中尺度较小的问题,通过对最新的YOLOv8模型增加一层像素为160×160的输出层得到改进的YOLOv8模型.同时,引入SKNet注意力机制进一步增加感受野,并采用power IoU损失函数以降低模型训练的损失.针对原始图像数据集,采用AutoAugment无监督自动增强方法,通过近端策略优化的强化学习算法寻找最佳增强策略及其概率和强度,实现了探地雷达数据集的有效扩充.在扩充的数据集上进行训练与测试,结果表明改进的YOLOv8模型取得了90.7%的平均检测精度和90.1%的F1分数,相比原始YOLOv8模型分别提升了6.3%和5.9%,也大幅度超越了主流的目标检测模型.在进行图像增强后,模型的平均检测精度和F1分数分别提升了4.1%和4.6%,对各类尺度的裂缝图像检测也体现出良好的鲁棒性.在养护路段应用探地雷达图像智能识别方法的检测结果与取芯验证结果相吻合,表明提出的改进模型在实际工程应用中是可靠的.

关键词：道路工程路面结构内部裂缝探地雷达检测正演模拟深度学习图像增强

Pivotal role for long noncoding RNAs in zygotic genome activation in mice

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Science China(Life Sciences) 2024年第5期67卷 958-969页

作者： Kang Chen Wenju Liu jiang Zhu Xiaochen Kou Yanhong Zhao Hong Wang Cizhong jiang Shaorong Gao Lan Kang Institute for Regenerative Medicine Shanghai East HospitalShanghai Key Laboratory of Signaling and Disease ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200120China Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education Orthopaedic Department of Tongji HospitalShanghai Key Laboratory of Signaling and Disease ResearchSchool of Life Sciences and TechnologyTongji UniversityShanghai 200092China Frontier Science Center for Stem Cell Research Tongji UniversityShanghai 200092China Clinical and Translation Research Center of Shanghai First Maternity&Infant Hospital School of Life Sciences and TechnologyTongji UniversityShanghai 200092China Institute of Biophysics Chinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Vertebrate life begins with fertilization,and then the zygote genome is activated after transient silencing,a process termed zygotic genome activation(ZGA).Despite its fundamental role in totipotency and the initiation of life,the precise mechanism underlying ZGA initiation remains unclear.The existence of minor ZGA implies the possible critical role of noncoding RNAs in the initiation of ZGA.Here,we delineate the expression profile of long noncoding RNAs(lncRNAs)in early mouse embryonic development and elucidate their critical role in minor ZGA.Compared with protein-coding genes(PCGs),lncRNAs exhibit a stronger correlation with minor ZGA.Distinct H3K9me3 profiles can be observed between lncRNA genes and PCGs,and the enrichment of H3K9me3 before ZGA might explain the suspended expression of major ZGA-related PCGs despite possessing PolII pre-configuration.Furthermore,we identified the presence of PolII-enriched MuERV-L around the transcriptional start site of minor ZGA-related lncRNAs,and these repeats are responsible for the activation of minor ZGA-related lncRNAs and subsequent embryo development.Our study suggests that MuERV-L mediates minor ZGA lncRNA activation as a critical driver between epigenetic reprogramming triggered by fertilization and the embryo developmental program,thus providing clues for understanding the regulatory mechanism of totipotency and establishing bona fide totipotent stem cells.

关键词： ZGA lncRNA MuERV-L

Study on 6-DOF active vibration-isolation system of the ultra-precision turning lathe based on GA-BP-PID control for dynamic loads

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Advances in Manufacturing 2024年第1期12卷 33-60页

作者： Bo Wang Zhong jiang Pei-Da Hu Department of Precision Instrument Tsinghua UniversityBeijing100084People’s Republic of China Institute of Machinery Manufacturing Technology China Academy of Engineering PhysicsMianyang621900SichuanPeople’s Republic of China

The vibration disturbance from an external environment affects the machining accuracy of ultra-precision machining equipment.Most active vibration-isolation systems(AVIS)have been developed based on static loads.When a vibration-isolation load changes dynamically during ultra-precision turning lathe machining,the system parameters change,and the efficiency of the active vibration-isolation system based on the traditional control strategy deteriorates.To solve this problem,this paper proposes a vibration-isolation control strategy based on a genetic algorithm-back propagation neural network-PID control(GA-BP-PID),which can automatically adjust the control parameters according to the machining conditions.Vibration-isolation simulations and experiments based on passive vibration isolation,a PID algorithm,and the GA-BP-PID algorithm under dynamic load machining conditions were conducted.The experimental results demonstrated that the active vibration-isolation control strategy designed in this study could effectively attenuate vibration disturbances in the external environment under dynamic load conditions.This design is reasonable and feasible.

关键词： Ultra-precision diamond turning lathe Active vibration isolation Six degrees of freedom Dynamic load Genetic algorithm-back propagation neural network-PID(GA-BP-PID)control

When smoke meets gut:deciphering the interactions between tobacco smoking and gut microbiota in disease development

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Science China(Life Sciences) 2024年第5期67卷 854-864页

作者： Bo Chen Guangyi Zeng Lulu Sun Changtao jiang Center of Basic Medical Research Institute of Medical Innovation and ResearchPeking University Third HospitalBeijing 100191China Department of Physiology and Pathophysiology School of Basic Medical SciencesState Key Laboratory of Vascular Homeostasis and RemodelingPeking UniversityBeijing 100191China Center for Obesity and Metabolic Disease Research School of Basic Medical SciencesPeking UniversityBeijing 100191China State Key Laboratory of Women’s Reproductive Health and Fertility Promotion Peking UniversityBeijing 100191China Department of Endocrinology and Metabolism Peking University Third HospitalBeijing 100191China

Tobacco smoking is a prevalent and detrimental habit practiced worldwide,increasing the risk of various diseases,including chronic obstructive pulmonary disease(COPD),cardiovascular disease,liver disease,and cancer.Although previous research has explored the detrimental health effects of tobacco smoking,recent studies suggest that gut microbiota dysbiosis may play a critical role in these outcomes.Numerous tobacco smoke components,such as nicotine,are found in the gastrointestinal tract and interact with gut microbiota,leading to lasting impacts on host health and diseases.This review delves into the ways tobacco smoking and its various constituents influence gut microbiota composition and functionality.We also summarize recent advancements in understanding how tobacco smoking-induced gut microbiota dysbiosis affects host health.Furthermore,this review introduces a novel perspective on how changes in gut microbiota following smoking cessation may contribute to withdrawal syndrome and the degree of health improvements in smokers.

关键词： tobacco smoking gut microbiota dysbiosis nicotine smoking cessation

Robust Information Hiding Based on Neural Style Transfer with Artificial Intelligence

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Computers, Materials & Continua 2024年第5期79卷 1925-1938页

作者： Xiong Zhang Minqing Zhang Xu AnWang Wen jiang Chao jiang Pan Yang College of Cryptography Engineering Engineering University of People’s Armed PoliceXi’an710086China Key Laboratory of People’s Armed Police for Cryptology and Information Security Xi’an710086China Key Laboratory of CTC&Information Engineering(Engineering University of People’s Armed Police) Ministry of EducationXi’an710086China Staff Department of People’s Armed Police Ningxia Corps Yinchuan750000China

This paper proposes an artificial intelligence-based robust information hiding algorithm to address the issue of confidential information being susceptible to noise attacks during transmission.The algorithm we designed aims to mitigate the impact of various noise attacks on the integrity of secret information during transmission.The method we propose involves encoding secret images into stylized encrypted images and applies adversarial transfer to both the style and content features of the original and embedded data.This process effectively enhances the concealment and imperceptibility of confidential information,thereby improving the security of such information during transmission and reducing security risks.Furthermore,we have designed a specialized attack layer to simulate real-world attacks and common noise scenarios encountered in practical environments.Through adversarial training,the algorithm is strengthened to enhance its resilience against attacks and overall robustness,ensuring better protection against potential threats.Experimental results demonstrate that our proposed algorithm successfully enhances the concealment and unknowability of secret information while maintaining embedding capacity.Additionally,it ensures the quality and fidelity of the stego image.The method we propose not only improves the security and robustness of information hiding technology but also holds practical application value in protecting sensitive data and ensuring the invisibility of confidential information.

关键词： Information hiding neural style transfer robustness

A Reverse Path Planning Approach for Enhanced Performance of Multi-Degree-of-Freedom Industrial Manipulators

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1357-1379页

作者： Zhiwei Lin Hui Wang Tianding Chen Yingtao jiang Jianmei jiang Yingpin Chen Key Laboratory of Light Field Manipulation and System Integration Applications in Fujian Province School of Physics and Information EngineeringMinnan Normal UniversityZhangzhou363000China Department of Electrical and Computer Engineering University of NevadaLas Vegas89154USA College of Material Engineering Fujian Agriculture and Forestry UniversityFuzhou350000China

In the domain of autonomous industrial manipulators,precise positioning and appropriate posture selection in path planning are pivotal for tasks involving obstacle avoidance,such as handling,heat sealing,and stacking.While Multi-Degree-of-Freedom(MDOF)manipulators offer kinematic redundancy,aiding in the derivation of optimal inverse kinematic solutions to meet position and posture requisites,their path planning entails intricate multiobjective optimization,encompassing path,posture,and joint motion optimization.Achieving satisfactory results in practical scenarios remains challenging.In response,this study introduces a novel Reverse Path Planning(RPP)methodology tailored for industrial manipulators.The approach commences by conceptualizing the manipulator’s end-effector as an agent within a reinforcement learning(RL)framework,wherein the state space,action set,and reward function are precisely defined to expedite the search for an initial collision-free path.To enhance convergence speed,the Q-learning algorithm in RL is augmented with Dyna-Q.Additionally,we formulate the cylindrical bounding box of the manipulator based on its Denavit-Hartenberg(DH)parameters and propose a swift collision detection technique.Furthermore,the motion performance of the end-effector is refined through a bidirectional search,and joint weighting coefficients are introduced to mitigate motion in high-power joints.The efficacy of the proposed RPP methodology is rigorously examined through extensive simulations conducted on a six-degree-of-freedom(6-DOF)manipulator encountering two distinct obstacle configurations and target positions.Experimental results substantiate that the RPP method adeptly orchestrates the computation of the shortest collision-free path while adhering to specific posture constraints at the target point.Moreover,itminimizes both posture angle deviations and joint motion,showcasing its prowess in enhancing the operational performance of MDOF industrial manipulators.

关键词： Reverse path planning Dyna-Q bidirectional search posture angle joint motion

Prediction of chemical short-range order in high-/medium-entropy alloys

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Journal of Materials Science & Technology 2024年第2期169卷 115-123页

作者： Pei-Yu Cao Jing Wang Ping jiang Yun-jiang Wang Fu-Ping Yuan Xiao-Lei Wu State Key Laboratory of Nonlinear Mechanics Institute of MechanicsChinese Academy of ScienceBeijing 100190China School of Engineering Science University of Chinese Academy of SciencesBeijing 100049China

Chemical short-range orders(CSROs),as the built-in sub-nanoscale entities in a high-/medium-entropy alloy(H/MEA),have aroused an ever-increasing interest.With multi-principal elements in an H/MEA to form a complex concentrated solution,a variety of sub-systems of species exist to induce the metastable ordered compounds as candidates for ultimate CSROs.The issues remain pending on the origin of CSROs as to how to judge if CSRO will form in an H/MEA and particularly,what kind of CSROs would be stably produced if there were multiple possibilities.Here,the first-principles method,along with the proposed local formation energy calculation in allusion to the atomic-scale chemical heterogeneities,is used to predict the CSRO formation based on the mechanical stability,thermodynamic formation energy,and electronic characteristics.The simulations are detailed in an equiatomic ternary VCoNi MEA with three kinds of potential compounds,i.e.,L1_(1),L1_(2),and B2,in the face-centered cubic matrix.It turns out that L1_(1)is stable but hard to grow up so as to become the final CSRO.L1_(1)is further predicted as CSROs in CrCoNi,but unable to form in FeCoNi and CrMnFeCoNi alloys.These predictions are consistent with the experimental observations.Our findings shed light on understanding the formation of CSROs.This method is applicable to other H/MEAs to design and tailor CSROs by tuning chemical species/contents and thermal processing for high performance.

关键词： Short-range order High-entropy alloy Microstructure First-principles calculation Gibbs free energy Local electronic density of states

Synergistic promotion of particulate matter reduction and production performance via adjusting electrochemical reactions in the zinc electrolysis industry

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Frontiers of Environmental Science & Engineering 2024年第1期18卷 23-33页

作者： Zizhen Ma Jingkun jiang Lei Duan jianguo Deng Fuyuan Xu Zehui Li Linhua jiang Ning Duan School of Environmental and Municipal Engineering Qingdao University of TechnologyQingdao 266520China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of the EnvironmentTsinghua UniversityBeijing 100084China State Key Laboratory of Pollution Control and Resources Reuse College of Environmental Science and EngineeringTongji UniversityShanghai 200092China School of Physics Peking UniversityBeijing 100871China

Heavy particulate matter (PM) pollution and high energy consumption are the bottlenecks of hydrometallurgy, especially in the electrolysis process. Therefore, an urgent need is to explore PM reduction methods with production performance co-benefits. This study presents three PM reduction methods based on controlling operating parameters, i.e., lowering electrolyte temperature, H2SO4 concentration, and current density of the cathode. The optimized conditions were also investigated using the response surface methodology to balance the PM reduction effect and Zn production. The results showed that lowering electrolyte temperature is the most efficient, with an 89.0% reduction in the PM generation flux (GFPM). Reducing H2SO4 concentration led to the minimum side effects on the current efficiency of Zn deposition (CEZn) or power consumption (PC). With the premise of non-deteriorating CEZn and PC, GFPM can be reduced by 86.3% at the optimal condition (electrolyte temperature = 295 K, H2SO4 = 110 g/L, current density = 373 A/m^(2)). In addition, the reduction mechanism was elucidated by comprehensively analyzing bubble characteristics, electrochemical reactions, and surface tension. Results showed that lower electrolyte temperature inhibited the oxygen evolution reaction (OER) and compressed gas volume. Lower H2SO4 concentration inhibited the hydrogen evolution reaction (HER) and reduced electrolyte surface tension. Lower current density inhibited both OER and HER by decreasing the reaction current. The inhibited gas evolutions reduced the microbubbles’ number and size, thereby reducing GFPM. These results may provide energy-efficient PM reduction methods and theoretical hints of exploring cleaner PM reduction approaches for industrial electrolysis.

关键词： Zinc electrolysis Particulate matter Energy consumption Operating parameters Bubble characteristic Electrochemical reaction