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Animal Shapes, Modal analysis, and Visualization of Motion (II): Dynamics and Fourier Decomposition

Journal of Geometric analysis 2023年第10期33卷 309-309页

作者： Chen, Goong Wei, Chunqiu Sergeev, Alexey Yang, Jing Huang, Jingtong Kaya Scully, Matthew M. Chen, Ming-Chieh Krantz, Steven G. Yao, Pengfei Guo, Tiexin Wang, Junmin Department of Mathematics Texas A &M University College Station 77843 TX United States Institute for Quantum Science and Engineering Texas A &M University College Station 77843 TX United States Hsinchu Branch National Center for Theoretical Sciences National Tsing Hua University Hsinchu Taiwan Department of Mathematics and Data Science Beijing University of Civil Engineering and Architecture Beijing 100044 China School of Mathematics Beijing Institute of Technology Beijing 100081 China Department of Mechanical Engineering Cheng Shiu University Kaohsiung 83347 Taiwan Department of Mathematics Washington University at St. Louis St. Louis 63130 MO United States Key Laboratory of Complex Systems and Data Science of Ministry of Education School of Mathematics Shanxi University Shanxi Taiyuan 030006 China Institute of Systems Science Academy of Mathematics and Systems Science Academia Sinica Beijing 100190 China School of Mathematics and Statistics Central South University Hunan Changsha 410075 China

This paper begins with solving the linear elastodynamic equation with forcing by expanding it into Fourier series. We then proceed to prove the conservation laws of momentum, angular momentum, and energy. We intend the paper to provide a computational demonstration for modal analysis by showing that eigenmodes and frequencies of vibration of a free-suspending horse match with the modal analysis results of the horse after a short-impulse impact of the horse with a wall. The horse CAD model has to be modified to contain a rigid body portion to prevent the rotational-tumbling modes. A fast Fourier transform is applied to the sensorial time series data in the calculation of the vibration frequencies. One can see that many low-frequency modes and data match these modal analysis results. © 2023, Mathematica Josephina, Inc.

关键词： Animal motions Eigenfunction expansions External forcing Frequency matching Sensors

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Sustainable xylose production: Conceptual design, economic analysis and environmental assessment

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Bioresource technology 2025年 434卷 132748页

作者： Guangxuan Zhu Nengkun Cao Yang Lei Zhenlei Zhang Yuqiu Chen School of Chemistry and Chemical Engineering Hubei Key Laboratory of Coal Conversion and New Carbon Materials Wuhan University of Science and Technology Wuhan 430081 Hubei China. School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 Hubei China. School of Chemistry and Chemical Engineering Hubei Key Laboratory of Coal Conversion and New Carbon Materials Wuhan University of Science and Technology Wuhan 430081 Hubei China. Electronic address: leiyang@***. College of Chemical Engineering and Environment China University of Petroleum Beijing 102249 China. College of Chemical Engineering and Environment China University of Petroleum Beijing 102249 China Department of Chemical and Biomolecular Engineering University of Delaware 150 Academy Street Newark DE 19716 United States. Electronic address: yuqch@udel.edu.

In the context of growing energy and climate challenges, biomass-derived xylose plays a vital role in promoting sustainable development. This study presents two conceptual xylose production processes, where glucose and xylose are separated in the downstream using either membrane separation (Xylose-MS) or chemical precipitation (Xylose-CP). Techno-economic analysis shows that Xylose-CP achieves a minimum selling price of $1,183.8 per ton with a purity of 95.2 wt%, while Xylose-MS yields a higher purity of 96.7 wt% but at a significantly higher cost of $3,097.3 per ton. Raw materials are identified as the major cost drivers. Life cycle assessment indicates that Xylose-CP reduces global warming potential by 68.3% compared to Xylose-MS. Both processes achieve a 100% biogenic carbon ratio, with Xylose-CP also demonstrating higher carbon selectivity (43.1%) and product yield (57.0%). These findings provide quantitative insights to guide the industrial development of economically and environmentally sustainable xylose production.

关键词： Biomass Glucose Life-cycle assessment Techno-economic analysis

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Localization and Surface Characterization by Zhurong Mars Rover at Utopia Planitia

Research Square

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Research Square 2021年

作者： Ding, Liang Zhou, Ruyi Yu, Tianyi Gao, Haibo Yang, Huaiguang Li, Jian Yuan, Ye Liu, Chuankai Wang, Jia Zhao, Yuyan Wang, Zhengyin Wang, Xiyu Bao, Gang Deng, Zongquan Huang, Lan Li, Nan Cui, Xiaofeng He, Ximing Jia, Yang Yuan, Baofeng Liu, Guangjun Zhang, Hui Zhao, Rui Zhang, Zuoyu Cheng, Ziqing Wu, Fan Xu, Qian Lu, Hao Richter, Lutz Liu, Zhen Niu, Fuliang Qi, Huanan Li, Shu Feng, Wenhao Yang, Chaojie Chen, Baichao Dang, Zhaolong Zhang, Mingming Li, Lichun Wang, Xiaoxue Huang, Zhao Zhang, Jitao Xing, Hongjun Wang, Guanyu Niu, Lizhou Xu, Peng Wan, Wenhui Di, Kaichang State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150080 China Beijing Aerospace Control Center Beijing100094 China Center for Lunar and Planetary Sciences Institute of Geochemistry Chinese Academy of Science Guiyang550081 China CAS Center for Excellence in Comparative Planetology Hefei230026 China University of Chinese Academy of Sciences Beijing100049 China Beijing Institute of Spacecraft System Engineering Beijing100094 China Department of Aerospace Engineering Ryerson University TorontoONM5B 2K3 Canada Hauptstrasse 1e Eching Germany State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100101 China

China’s first Mars rover, Zhurong, has successfully touched down on the southern Utopia Planitia of Mars at 109.925° E, 25.066° N, and since performed cooperative multiscale investigations with the Tianwen-1 orbiter. Here we present primary localization and surface characterization results based on complementary data of the first 60 sols. The Zhurong rover has traversed 450.9 m southwards over a flat surface with mild wheel slippage (less than 0.2 in slip ratio). The encountered crescent-shaped sand dune indicates a NE-SW local wind direction, consistent with larger-range remote-sensing observations. Soil parameter analysis based on terramechanics indicates that the topsoil has high bearing strength and cohesion, and its equivalent stiffness and internal friction angle are ~1390-5872 kPa∙m-n and ~21°-34° respectively. Rocks observed strewn with dense pits, or showing layered and flaky structures, are presumed to be involved in physical weathering like severe wind erosion and potential chemical weathering processes. These preliminary observations suggest great potential of in-situ investigations by the scientific payload suite of the Zhurong rover in obtaining new clues of the region’s aeolian and aqueous history. Cooperative investigations using the related payloads on both the rover and the obiter could peek into the habitability evolution of the northern lowlands on Mars. © 2021, CC BY.

关键词： Sols

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Growth of TiO2 Nanotube on Titanium Substrate to Enhance its Biotribological Performance and Biocorrosion Resistance

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Journal of Bionic Engineering 2019年第6期16卷 1039-1051页

作者： Jiajun Luo Bianhong Li Sara Ajami Shuanhong Ma Feng Zhou Chaozong Liu Institute of Orthopaedic&Musculoskeletal Science Division of Surgery&Interventional ScienceUniversity College LondonRoyal National Orthopaedic HospitalStanmoreHA14LPUnited Kingdom School of Mechatronical Engineering Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Solid L ubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China

TiO2 nanotubes(NTs)have a great potential in improving the osetointegration of titanium(Ti)-based *** efforts have been made to evaluate the biological performance of the TiO2 nanotube in regulating protein adsorption and cells *** often used in orthopaedic applications,although biotribological performance and biocorrosion are important issues in these applications,few researches have been reported on the biotribological perfonnance of NT *** paper reports the preparation of a structure-optimised TiO2 NT(SO-NT)material via a multi-step oxidation strategy,as well as its biotribological and biocorrosion *** this procedure,an interfacial bonding layer of approximately 120 nm=150 nm was first formed on the titanium substrate,which was then joined to the NT *** mechanical testing with respect to impact,bending,and biotribological perfbnnance have demonstrated the resultant SO-NT layer possess improved mechanical stability compared to conventional *** uniform hyperfine interfacial bonding layer with nano-sized grains exhibited a strong bonding to NT layer and Ti *** was observed that the layer not only effectively dissipates external impacts and shear stress but also acts as a good corrosion resistance barrier to prevent the Ti substrate from *** models were proposed to analyze and predict the shear performance and corrosion-resistance mechanisms of the resultant *** obtained results demonstrated that the SO-NT material has great potential in orthopaedic applications.

关键词： TiO2 nanotubes tribology titanium implant surface modification biomaterials

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Optimization of the Grid Mapping Algorithm for Mobile Robots 4

Optimization of the Grid Mapping Algorithm for Mobile Robots

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2019 4th International Conference on Intelligent Computing and Signal Processing, ICSP 2019

作者： Wu, Ruoxi Shu, Leizheng Zhao, Xin Key Laboratory of Space Utilization Technology and Engineering Center for Space Utilization Chinese Academy of Sciences Beijing China Changchun University of Science and Technology College of Electronic and Information Engineering Changchun Jilin China

Navigation precision, which is an important performance index of mobile robots, is closely related to the precision of grid mapping (Gmapping) algorithm. The modeling of the Gmapping algorithm is completed on the basis of Rao-Blackwellized particle filter (RBPF), with a light detection and ranging (LiDAR) robot as the research background, and the factors that influence the accuracy error of the Gmapping algorithm are analyzed. Firefly algorithm is introduced into the Gmapping system to complete the modeling and simulation analysis. The simulation results show that applying the firefly algorithm to the Gmapping system can effectively smooth the fluctuations of position, attitude angle, and other data output using sensors, which can decrease the number of particles and reduce object feature degradation. This method can effectively improve the accuracy of the Gmapping algorithm, reduce navigation error, and provide reference and guidance for the Gmapping system design of mobile robots. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Mobile robots

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In-situ study of the temperature effects on the magneto-structural transition in the MnCoGe-based magnetocaloric compounds

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Acta Materialia 2025年 296卷

作者： Xiaowen Hao Ying Zhao Xiaoming Huang Kang Liu Binru Zhao Cuiping Zhang Jie Ma Fengjiao Qian Xuefei Miao Yafei Kuang Haile Yan Zongbin Li Liang Zuo Xin Tong Bo Yang Qingyong Ren Institute of High Energy Physics Chinese Academy of Sciences 100049 Beijing China Spallation Neutron Source Science Center 523803 Dongguan China Guangdong Provincial Key Laboratory of Extreme Conditions Dongguan 523803 China Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education) School of Material Science and Engineering Northeastern University Shenyang 110819 China Department of Applied Physics Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Key Laboratory of Artificial Structures and Quantum Control School of Physics and Astronomy Shanghai Jiao Tong University Shanghai China School of Materials Science and Engineering Nanjing University of Science and Technology 200 Xiaolingwei Street Nanjing 210094 China School of Materials Science & Engineering Taiyuan University of Science and Technology Taiyuan 030024 China

The first-order magneto-structural transition with large adiabatic magnetic entropy change shows great potential for magnetocaloric refrigeration but is hindered by large thermal and magnetic hysteresis effects, such as in the MM'X alloys (M, M' = 3d transition element, X = Si, Ge). While progress has been made in reducing thermal hysteresis through improved geometric compatibility, the joint effects of thermal and magnetic hysteresis are not well understood, which is a crucial issue in the practical operation of magnetocaloric refrigeration. In this work, we present an in-situ study of the temperature effects on the magnetic-field-driven magneto-structural transition in MnCoGe-based compounds. Our results show that the metamagnetic transition from paramagnetic hexagonal to ferromagnetic orthorhombic structures is more easily driven by an external magnetic field during cooling compared to heating. The magnetization loop exhibits larger hysteresis losses during cooling, while the magneto-structural transition temperature determined from iso-field magnetizations is more affected by the magnetic field. Additionally, the negative thermal expansion behavior displays a more uniform distribution within the entire phase transition temperature window during cooling. In-situ X-ray diffraction measurements and geometric nonlinear theory analysis suggest that those discrepancies during heating and cooling originate from smaller lattice geometric incompatibilities, particularly along the a -axis of the orthorhombic structure. Furthermore, it is found that the transformation stretch tensor eigenvalues exhibit linear behavior, converging towards 1 and indicating improved compatibility, potentially leading to reduced thermal hysteresis effects at lower temperatures. These findings offer insights into magneto-structural transitions and hysteresis behaviors, informing the development of high-performance magnetocaloric materials.

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CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban Scenarios

arXiv

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arXiv 2025年

作者： Zhang, Tengchao Tian, Yonglin Lin, Fei Huang, Jun Süli, Patrik P. Qin, Rui Wang, Fei-Yue Department of Engineering Science Faculty of Innovation Engineering Macau University of Science and Technology 999078 China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Doctoral School of Applied Informatics and Applied Mathematics Óbuda University Hungary Laboratory of Computation and Analytics of Complex Management Systems Tianjin University Tianjin300072 China Research Center for Chinese Economics and Social Security The University of Chinese Academy of Sciences Beijing100190 China

With the increasing demand for heterogeneous Unmanned Aerial Vehicle (UAV) swarms to perform complex tasks in urban environments, system design now faces major challenges, including efficient semantic understanding, flexible task planning, and the ability to dynamically adjust coordination strategies in response to evolving environmental conditions and continuously changing task requirements. To address the limitations of existing approaches, this paper proposes coordination field agentic system for coordinating heterogeneous UAV swarms in complex urban scenarios. In this system, large language models (LLMs) is responsible for interpreting high-level human instructions and converting them into executable commands for the UAV swarms, such as patrol and target tracking. Subsequently, a Coordination field mechanism is proposed to guide UAV motion and task selection, enabling decentralized and adaptive allocation of emergent tasks. A total of 50 rounds of comparative testing were conducted across different models in a 2D simulation space to evaluate their performance. Experimental results demonstrate that the proposed system achieves superior performance in terms of task coverage, response time, and adaptability to dynamic changes. Copyright © 2025, The Authors. All rights reserved.

关键词： Drones

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Chikungunya virus drives gut microbiota shifts and IFN-Mediated intestinal repair: insights into microbiota-immune interplay

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Gut microbes 2025年第1期17卷 2512900页

作者： Hongyu Chen Kaiyun Ding Cong Tang Jingwen Xu Fengyuan Zhang Yao Yan Bai Li Yanan Zhou Yun Yang Hao Yang Qing Huang Wenhai Yu Haixuan Wang Daoju Wu Shuaiyao Lu Hongqi Liu Institute of Medical Biology Chinese Academy of Medical Sciences and Peking Union Medical College (IMBCAMS&PUMC) Kunming Yunnan China. Yunnan Province Science and Technology Department Yunnan Key Laboratory of Cross-Border Infectious Disease Control and Prevention and Novel Drug Development Kunming Yunnan China. National Human Diseases Animal Model Resource Center NHC Key Laboratory of Human Disease Comparative Medicine National Center of Technology Innovation for Animal Model State Key Laboratory of Respiratory Health and Multimorbidity and Key Laboratory of Pathogen Infection Prevention and Control Ministry of Education Institute of Laboratory Animal Sciences Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.

Chikungunya virus (CHIKV) infection causes joint damage and gastrointestinal clinical symptoms, including vomiting and diarrhea, particularly in elderly populations, reflecting the potential role of gut immunity in infection. However, the mechanisms by which CHIKV induces gastrointestinal diseases remain largely unexplored. This study investigated the characteristics of fecal and gut microbiota, gut metabolites, and gut immunity post-infection using multi-omics analysis. The role of gut microbiota was further validated through Oral antibiotic depletion (Abx). Importantly, a systematic comparison of age-dependent differences in gut microbiota composition and immune responses following CHIKV infection was conducted to elucidate the involvement of gut microbiota in CHIKV pathogenesis. CHIKV joint inoculation induces gastrointestinal infection and histological damage, drives fluctuations in gut microbiota, markedly increasing the abundance of and . and upregulates conjugates of taurine and bile acids. CHIKV infection further exacerbates systemic inflammatory burden and activates intestinal interferon (IFN) signaling cascades, which supports gut repair and mucosal regeneration, but low antiviral responses to CHIKV infection compared with that of adult animals. Our results suggest that the gastrointestinal tract, along with its microbes and metabolites, modulates CHIKV infection in an age-dependent manner, providing critical insights for diagnosis, treatment, and novel therapeutic development.

关键词： CHIKV gastrointestinal infection gut microbiota integrative analysis interferon

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HR-GO I: Comprehensive NLTE abundance analysis of the Cetus stream

arXiv

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arXiv 2024年

作者： Sitnova, T.M. Yuan, Z. Matsuno, T. Mashonkina, L.I. Alexeeva, S.A. Holmbeck, E. Sestito, F. Lombardo, L. Banerjee, P. Martin, N.F. Jiang, F. Institute of Astronomy Russian Academy of Sciences Pyatnitskaya 48 Moscow119017 Russia School of Astronomy and Space Science Nanjing University Nanjing210093 China Key Laboratory of Modern Astronomy and Astrophysics Nanjing University Ministry of Education Nanjing210093 China Université de Strasbourg CNRS Observatoire astronomique de Strasbourg UMR 7550 StrasbourgF-67000 France Astronomisches Rechen-Institut Zentrum für Astronomie Universität Heidelberg Mönchhofstraße 12-14 Heidelberg69120 Germany CAS Key Laboratory of Optical Astronomy National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China The Observatories of the Carnegie Institution for Science 813 Santa Barbara Street PasadenaCA91101 United States Department of Physics and Astronomy University of Victoria PO Box 3055 STN CSC VictoriaBCV8W 3P6 Canada Max-von-Laue-Str. 12 Frankfurt am Main60438 Germany Department of Physics Indian Institute of Technology Palakkad Kerala 678558 India Kavli Institute for Astronomy and Astrophysics Peking University Beijing100871 China

Context. Dwarf galaxy streams encode vast amounts of information essential to understanding early galaxy formation and nucleosynthesis channels. Due to the variation in the timescales of star formation history in their progenitors, stellar streams serve as ‘snapshots’ that record different stages of galactic chemical evolution. Aims. This study focusses on the Cetus stream, stripped from a low-mass dwarf galaxy. We aim to uncover its chemical evolution history as well as the different channels of its element production from detailed elemental abundances. Methods. We carried out a comprehensive analysis of the chemical composition of 22 member stars based on their high-resolution spectra. We derived abundances for up to 28 chemical species from C to Dy and, for 20 of them, we account for the departures from local thermodynamic equilibrium (NLTE effects). Results. We confirm that the Cetus stream has a mean metallicity of [Fe/H] = −2.11 ± 0.21. All observed Cetus stars are α enhanced with [α/Fe] 0.3. The absence of the α-‘knee’ implies that star formation stopped before iron production in type Ia supernovae (SNe Ia) became substantial. Neutron capture element abundances suggest that both the rapid (r-) and the main slow (s-) processes contributed to their origin. The decrease in [Eu/Ba] from a typical r-process value of [Eu/Ba] = 0.7 to 0.3 with increasing [Ba/H] indicates a distinct contribution of the r- and s-processes to the chemical composition of different Cetus stars. For barium, the r-process contribution varies from 100% to 20% in different sample stars, with an average value of 50%. Conclusions. Our abundance analysis indicates that the star formation in the Cetus progenitor ceased after the onset of the main s-process in low- to intermediate-mass asymptotic giant branch stars but before SNe Ia played an important role. A distinct evolution scenario is revealed by comparing the abundances in the Ursa Minor dwarf spheroidal galaxy, showing the diversity in —a

关键词： Supernovae

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Hunting for the host galaxy groups of binary black holes and the application in constraining hubble constant

arXiv

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arXiv 2020年

作者： Yu, Jiming Wang, Yu Zhao, Wen Lu, Youjun CAS Key Laboratory for Researches in Galaxies and Cosmology Department of Astronomy University of Science and Technology of China Chinese Academy of Sciences Hefei Anhui230026 China School of Astronomy and Space Science University of Science and Technology of China Hefei230026 China CAS Key Laboratory for Computational Astrophysics National Astronomical Observatories Chinese Academy of Sciences Beijing100101 China School of Astronomy and Space Science University of Chinese Academy of Sciences Beijing100049 China

The discovery of gravitational-wave (GW) signals, produced by the coalescence of stellar-mass binary black holes (SBBHs), opens a new window to study the astrophysical origins and dynamical evolutions of compact binaries. In addition, these GW events can be treated as the standard sirens to constrain various cosmological parameters. Both issues require the host identification for these GW events, with help of the spatial resolution of GW detector networks. In this paper, we investigate the capabilities of various detector networks for identifying the SBBHs' host galaxy groups, rather than their host galaxies, which can overcome the influence of galaxies' proper motions in dark matter halos for measuring the cosmological parameters. In our analysis, the group catalog of SDSS DR7 with redshift z ∈ (0:01;0:1) is considered as an example of the application. We find that for the second-generation (2G) detector network, the host galaxy groups of around 17% 30 - 30 Mo SBBHs can be identified. For the 3G detector network, this fraction becomes ∼ 99%. We also investigate the potential constraint on the Hubble constant H0 by these GW events, if their redshift information is extracted from the candidates of host galaxy groups. We find that, by five-year observations, 2G detector network is expected to give a constraint of ΔH0=H0 ∼ (1%;4%), which can be more than two order smaller if considering the 3G detector network. Copyright © 2020, The Authors. All rights reserved.

关键词： Stars

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