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A general climatology of categorized Martian ionospheric irregularities

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Science china Earth sciences 2024年第10期67卷 3302-3325页

作者： Xin WAN Jiahao zhong Yongqiang hao Chao XIONG Hui WANG Yutian CAO Jun cui Yiwen LIU Qiaoling LI Jiawei KUAI Planetary Environmental and Astrobiological Research Laboratory(PEARL) School of Atmospheric SciencesSun Yat-sen UniversityZhuhai 519082China Key Laboratory of Tropical Atmosphere-Ocean System Ministry of EducationZhuhai 519082China Department of Space Physics College of Electronic InformationLuojia LaboratoryWuhan UniversityWuhan 430079China School of Physics and Electronic Information Shangrao Normal UniversityShangrao 334001China School of Petroleum China University of Petroleum-Beijing at KaramayKaramay 834000China College of Astronautics Nanjing University of Aeronautics and AstronauticsNanjing 210016China

A climatological survey of Martian ionospheric plasma density irregularities was conducted by exploring the in-situ measurements of the Mars Atmosphere and Volatile EvolutioN(MAVEN) spacecraft. The irregularities were first classified as enhancement, depletion, and oscillation. By checking the simultaneous magnetic field fluctuation, the irregularities have been classified into two types: with or without magnetic signatures. The classified irregularities exhibit diverse global occurrence patterns, as those with magnetic signatures tend to appear near the periphery of the crustal magnetic anomaly(MA), and those without magnetic signatures prefer to appear either inside of the MA or outside of the MA, depending on the type and solar zenith angle. Under most circumstances, the irregularities have a considerable occurrence rate at altitudes above the ionospheric dynamo height(above 200 km), and the magnetization state of the ions seems irrelevant to their occurrence. In addition, the irregularities do not show dependence on magnetic field geometry, except that the enhancement without magnetic signatures favors the vertical field line, implying its equivalence to the localized bulge. Other similarities and discrepancies exist in reference to previous studies. We believe this global survey complements previous research and provides crucial research clues for future efforts to clarify the nature of the Martian ionospheric irregularities.

关键词： Mars MAVEN Ionosphere Ionospheric irregularities Crustal magnetic anomaly Plasma

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Ballistic performance of additive manufacturing 3.6l stainless steel projectiles based on topology optimization method

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Defence Technology（防务技术） 2024年第5期35卷 1-17页

作者： hao Xue Tao Wang Xinyu cui Yifan Wang Guangyan Huang State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China

Material and structure made by additive manufacturing(AM)have received much attention lately due to their flexibility and ability to customize complex *** study first implements multiple objective topology optimization simulations based on a projectile perforation model,and a new topologic projectile is *** two types of 3.6L stainless steel projectiles(the solid and the topology)are printed in a selective laser melt(SLM)machine to evaluate the penetration performance of the projectiles by the ballistic *** experiment results show that the dimensionless specific kinetic energy value of topologic projectiles is higher than that of solid projectiles,indicating the better penetration ability of the topologic ***,microscopic studies(scanning electron microscope and X-ray micro-CT)are performed on the remaining projectiles to investigate the failure mechanism of the internal structure of the topologic *** explicit dynamics simulation was also performed,and the failure locations of the residual topologic projectiles were in good agreement with the experimental results,which can better guide the design of new projectiles combining AM and topology optimization in the future.

关键词： Additive manufacturing Topology optimization Ballistic performance Projectile design

Sono-assembly of folate-decorated curcumins/alginate core-shell microcomplex and its targeted delivery and pH/reduction dual-triggered release

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Particuology 2024年第1期84卷 168-177页

作者： Qingye Meng Shuangling zhong Jingfei Wang Zhenqian Zhang Yan Gao Xuejun cui College of Chemistry Jilin University Changchun130012China College of Resources and Environment Jilin Agricultural University Changchun130118China State Key Laboratory of Supramolecular Structure and Materials Jilin UniversityChangchun130012China Weihai institute for Bionics-Jlin University Weihai264400China

In this study,sodium alginate(SA),a non-toxic natural polysaccharide with good biocompatibility and biodegradability,was developed for targeted delivery of curcumin(CUR)in tumor *** strategy is to sulfhydrylate the folic acid(FA)modified SA,and the CUR dissolved in ethyl acetate(EAC)phase is coated in microcapsules by a quick,efficient and environment-friendly sonochemical *** EAC in the microcapsule core is volatile,which can be recycled and reused to reduce *** prepared mi-crocapsules(FA-RSMCs@CUR)exhibited similar toxicity to free curcumin in anti-tumour evaluation in ***-RSMCs@CUR also exhibited effective antibacterial properties in the antibacterial evaluation in *** is expected to become a low-cost tumor targeting vector in the future,and has the potential to be promoted in clinical application.

关键词： Reductive-responsive Sodium alginate Microcapsule Targeted delivery Sonochemical

Heat distribution model under hydrogen-rich low-carbon conditions in blast furnace

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Journal of Iron and Steel Research International 2024年第3期31卷 584-594页

作者： Gang Wang Jun Xu Kun He zhong-ping Zou hao Bai School of Metallurgy and Ecological Engineering University of Science and Technology BeijingBeijing 100083China CISDI Low-Carbon Blast Furnace Research Office MCC Low-Carbon Technology Research InstituteChongqing 401122China

Low carbon development of blast furnaces is one of the key technological directions in the current development of *** to the differences in the physical and chemical properties of hydrogen and carbon,hydrogen-rich media entering a blast furnace will change the heat distribution,thus affecting the stability of ***,a heat distribution model was proposed to study the temperature distribution in a blast furnace,simultaneously considering gas-solid heat exchange,slag and iron melting,and chemical *** model was used to analyze the temperature distribution of a 23.0 m^(3. blast furnace and was verified via comparison with actual production ***,the effects of the injection rate of hydrogen-rich media,H2 concentration,and oxygen enrichment rate of the blast on the temperature distribution were *** indicated that the increase in the injection rate of the hydrogen-rich media decreased the amount of direct reduction and led to an increase in the furnace ***,an increase in the oxygen enrichment rate led to a decrease in the furnace temperature,but could reduce the solid fuel ratio,while the change in H2 concentration had less effect on the temperature *** combination of hydrogen-rich media injection and the increase in the oxygen enrichment rate would help to adjust the temperature distribution to the same level as the conventional blast furnace conditions.

关键词： Heat distribution Blast furnace Low-carbon condition Hydrogen enrichment Calculation model

Continuous-Time Channel Prediction Based on Tensor Neural Ordinary Differential Equation

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china Communications 2024年第1期21卷 163-174页

作者： Mingyao cui hao Jiang Yuhao Chen Yang Du Linglong Dai The Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Huawei Technology Co. Ltd.Chengdu Research InstituteChengdu 611730China

Channel prediction is critical to address the channel aging issue in mobile *** channel prediction techniques are mainly designed for discrete channel prediction,which can only predict the future channel in a fixed time slot per frame,while the other intra-frame channels are usually recovered by ***,these approaches suffer from a serious interpolation loss,especially for mobile millimeter-wave *** solve this challenging problem,we propose a tensor neural ordinary differential equation(TN-ODE)based continuous-time channel prediction scheme to realize the direct prediction of intra-frame ***,inspired by the recently developed continuous mapping model named neural ODE in the field of machine learning,we first utilize the neural ODE model to predict future continuous-time *** improve the channel prediction accuracy and reduce computational complexity,we then propose the TN-ODE scheme to learn the structural characteristics of the high-dimensional channel by low-dimensional learnable *** results show that the proposed scheme is able to achieve higher intra-frame channel prediction accuracy than existing schemes.

关键词： channel prediction massive multipleinput-multiple-output millimeter-wave communications ordinary differential equation

mRNA vaccine technology for infectious diseases and beyond

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Science china(Life sciences) 2024年第10期67卷 2267-2270页

作者： Pei hao Xiao Li Xuan Li Wu zhong Key Laboratory of Molecular Virology and Immunology Shanghai Institute of Immunity and InfectionChinese Academy of SciencesShanghai 200031China Changchun Veterinary Research institute Chinese Academy of Agricultural SciencesChangchun 130122China Key Laboratory of Synthetic Biology CAS Center for Excellence in Molecular Plant SciencesInstitute of Plant Physiology and EcologyChinese Academy of SciencesShanghai 200032China National Engineering Research Center for the Emergency Drug Beijing Institute of Pharmacology and ToxicologyBeijing 100085China University of chinese academy of sciences Beijing 100049China

The rise of mRNA vaccine technology Vaccines stand as one of the most significant medical advancements,playing a crucial role in the prevention of infectious diseases and the improvement of global *** triumph of smallpox vaccination stands as a towering achievement in the annals of healthcare,leading to the complete elimination of a oncedevastating disease and showcasing the efficacy of vaccination methods.

关键词： methods vaccination prevention

Resource Allocation in Multi-User Cellular Networks:A Transformer-Based Deep Reinforcement Learning Approach

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china Communications 2024年第5期21卷 77-96页

作者： Zhao Di Zheng zhong Qin Pengfei Qin hao Song Bin State Key Laboratory of Integrated Services Networks Xidian University710071China china academy of Space Technology Beijing 100081China

To meet the communication services with diverse requirements,dynamic resource allocation has shown increasing *** this paper,we consider the multi-slot and multi-user resource allocation(MSMU-RA)in a downlink cellular scenario with the aim of maximizing system spectral efficiency while guaranteeing user *** first model the MSMURA problem as a dual-sequence decision-making process,and then solve it by a novel Transformerbased deep reinforcement learning(TDRL)***,the proposed TDRL approach can be achieved based on two aspects:1)To adapt to the dynamic wireless environment,the proximal policy optimization(PPO)algorithm is used to optimize the multi-slot RA strategy.2)To avoid co-channel interference,the Transformer-based PPO algorithm is presented to obtain the optimal multi-user RA scheme by exploring the mapping between user sequence and resource *** results show that:i)the proposed approach outperforms both the traditional and DRL methods in spectral efficiency and user fairness,ii)the proposed algorithm is superior to DRL approaches in terms of convergence speed and generalization performance.

关键词： dynamic resource allocation multi-user cellular network spectrum efficiency user fairness

A crosstalk-free dual-mode sweat sensing system for naked-eye sweat loss quantification via changes in structural reflectance

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Bio-Design and Manufacturing 2024年第4期7卷 428-438页

作者： Bowen zhong hao Xu Xiaokun Qin Lingchen Liu Hailong Wang Lili Wang State Key Laboratory for Superlattices and Microstructures Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China Center of Materials Science and Optoelectronic Engineering University of Chinese Academy of SciencesBeijing 100049China

Sweat loss monitoring is important for understanding the body’s thermoregulation and hydration status,as well as for comprehensive sweat *** recent advances,developing a low-cost,scalable,and universal method for the fabrication of colorimetric microfluidics designed for sweat loss monitoring remains *** this study,we propose a novel laserengraved surface roughening strategy for various flexible *** process permits the construction of microchannels that show distinct structural reflectance changes before and after sweat *** leveraging these unique optical properties,we have developed a fully laser-engraved microfluidic device for the quantification of naked-eye sweat *** sweat loss sensor is capable of a volume resolution of 0.5µL and a total volume capacity of 11µL,and can be customized to meet different performance ***,we report the development of a crosstalk-free dual-mode sweat microfluidic system that integrates an Ag/AgCl chloride sensor and a matching wireless measurement flexible printed circuit *** integrated system enables the real-time monitoring of colorimetric sweat loss signals and potential ion concentration signals without ***,we demonstrate the potential practical use of this microfluidic sweat loss sensor and its integrated system for sports medicine via on-body studies.

关键词： Sweat loss sensor Microfluidic design Structural reflectance Dual-mode integration Crosstalk-free

Orientation and Decision-Making for Soccer Based on Sports Analytics and AI:A Systematic Review

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IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 37-57页

作者： Zhiqiang Pu Yi Pan Shijie Wang Boyin Liu Min Chen hao Ma Yixiong cui the School of Artificial Intelligence University of Chinese Academy of Sciences the institute of Automation Chinese Academy of Sciences the Nanjing Artificial Intelligence Research of IA the School of Sports Engineering Beijing Sport University

Due to ever-growing soccer data collection approaches and progressing artificial intelligence(AI) methods, soccer analysis, evaluation, and decision-making have received increasing interest from not only the professional sports analytics realm but also the academic AI research community. AI brings gamechanging approaches for soccer analytics where soccer has been a typical benchmark for AI research. The combination has been an emerging topic. In this paper, soccer match analytics are taken as a complete observation-orientation-decision-action(OODA) *** addition, as in AI frameworks such as that for reinforcement learning, interacting with a virtual environment enables an evolving model. Therefore, both soccer analytics in the real world and virtual domains are discussed. With the intersection of the OODA loop and the real-virtual domains, available soccer data, including event and tracking data, and diverse orientation and decisionmaking models for both real-world and virtual soccer matches are comprehensively reviewed. Finally, some promising directions in this interdisciplinary area are pointed out. It is claimed that paradigms for both professional sports analytics and AI research could be combined. Moreover, it is quite promising to bridge the gap between the real and virtual domains for soccer match analysis and decision-making.

关键词： Artificial intelligence(AI) decision-making football review soccer sports analytics