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Experimental and computational investigation on flow characteristics of rotating cavities with high inlet pre-swirl axial throughflow

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Chinese Journal of Aeronautics 2024年第4期37卷 276-293页

作者： Sipeng WANG Xiang LUO Linji GUO zeyu wu Yang BAI Zongchao LI Lichun MA School of Energy and Power Engineering Beihang UniversityBeijing 100191China Research Institude of Aero-Enigine Beihang UniversityBeijing 100191China National Key Laboratory of Science and Technology on Aero-Engine Aero-Thermodynamics Beihang UniversityBeijing 100191China Shenyang Aeroengine Research Institute Aero Engine Corporation of ChinaShenyang 110015China

As an integral part of the internal air system of aero-engines,the axial throughflow of the cooling air can interact with the cavity flow between the rotating compressor disks,forming a threedimensional,unsteady,and unstable flow field.The flow characteristics in an engine-like rotating multi-stage cavity with throughflow were investigated using particle image velocimetry,flow visualization technology and three-dimensional unsteady Reynolds-Averaged Navier-Stokes (RANS)simulations.The focus of current research was to understand the distribution of the mean swirl ratio and its variation with a wide range of non-dimensional parameters in the co-rotating cavity with high inlet pre-swirl axial throughflow.The maximum axial Reynolds number and rotational Reynolds numbers could reach 4.41×10^(4)and 1.24×10^(6),respectively.The velocity measurement results indicate that the mean swirl ratio is greater than 1 and decreases with an increase in the radial position.The flow structure is dominated by the Rossby number,and two different flow patterns (flow penetration and flow stratification) are identified and confirmed by flow visualization images.In the absence of buoyancy,the flow penetration caused by the precession of the throughflow makes it easier for the throughflow to reach a high radius region.Satisfactory consistency of results between measurements and numerical calculations is obtained.This study provides a theoretical basis and data support for toroidal vortex breakdown,which is of practical significance for the design of high-pressure compressor cavities.

关键词： Compressor Axial throughflow Rotating cavity flow Particle image velocimetry Unsteady RANS Flow pattern

Attitude control of multi-spacecraft systems on SO(3)with stochastic links failure

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Chinese Journal of Aeronautics 2024年第3期37卷 320-331页

作者： KANG zeyu SHEN Qiang wu Shufan Chris J.DAMAREN MU Zhongcheng School of Aeronautics and Astronautics Shanghai Jiao Tong UniversityShanghai 200240China Institute for Aerospace Studies University of TorontoTorontoOntario M3H 5T6Canada

In this paper,for Multi-Spacecraft System(MSS)with a directed communication topology link and a static virtual leader,a controller is proposed to realize attitude consensus and attitude stabilization with stochastic links failure and actuator saturation.First,an MSS attitude error model suitable for a directed topology link and with a static virtual leader based on SO(3)is derived,which considers that the attitude error on SO(3)cannot be defined based on algebraic subtraction.Then,we design a controller to realize the MSS on SO(3)with attitude consensus and attitude stabilization under stochastic links failure and actuator saturation.Finally,the simulation results of a multi-spacecraft system with stochastic links failure and a static virtual leader spacecraft are demonstrated to illustrate the efficiency of the attitude controller.

关键词： Multi-spacecraft systems Attitude consensus Attitude stabilization Stochastic links failure Super-martingale convergence

Trajectory of COVID-19 response and management strategy in China:scientific rationale driven strategy adjustments

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Frontiers of Medicine 2024年第1期18卷 19-30页

作者： zeyu Zhang Yue Yan Lina Zhao Yizhou Bian Ning Zhao You wu Dahai Zhao Zongjiu Zhang Institute for Hospital Management Tsinghua UniversityBeijing100084China School of Medicine Tsinghua UniversityBeijing100084China School of International and Public Affairs Shanghai Jiao Tong UniversityShanghai200030China Yale University-Shanghai Jiao Tong University Joint Center for Health Policy Shanghai Jiao Tong UniversityShanghai200030China

The pneumonia caused by novel coronavirus SARS-CoV-2 infection in early December 2019,which was later named coronavirus disease 2019(COVID-19)by the World Health Organization(WHO),rapidly spread across the world.China has made extraordinary efforts to this unprecedented pandemic,put its response and control at a very high level of infectious disease management(Category B but with measures for Category A),given top priority to the people and their lives,and balanced the pandemic control and socio-economic development.After more than three years’fighting against this disease,China downgraded the management of COVID-19 to Category B infectious disease on January 8,2023 and the WHO declared the end of public health emergency on May 5,2023.However,the ending of pandemic does not mean that the disease is no longer a health threat.Experiences against COVID-19 from China and the whole world should be learned to prepare well for the future public health emergencies.This article gives a systematic review of the trajectory of COVID-19 development in China,summarizes the critical policy arrangements and provides evidence for the adjustment during policy making process,so as to share experiences with international community and contribute to the global health for all humanity.

关键词： COVID-19 public health response and control strategy science-based policy making

Electrocatalytic CO_(2) reduction to C_(2)H_(4): From lab to fab

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Journal of Energy Chemistry 2024年第3期90卷 540-564,I0012页

作者： zeyu Guo Fabao Yang Xiaotong Li Huiwen Zhu Hainam Do Kam Loon Fow Jonathan D.Hirst Tao wu Qiulin Ye Yaqi Peng Hao Bin wu Angjian wu Mengxia Xu Department of Chemical and Environmental Engineering and New Materials InstituteUniversity of Nottingham Ningbo ChinaNingbo 315100ZhejiangChina Key Laboratory of Carbonaceous Waste Processing and Process Intensification of Zhejiang Province University of Nottingham Ningbo ChinaNingbo 315100ZhejiangChina Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute University of Nottingham Ningbo ChinaNingbo 315100ZhejiangChina State Key Laboratory of Clean Energy Utilization Department of Energy EngineeringZhejiang UniversityHangzhou 310027ZhejiangChina Institute for Composites Science Innovation(InCSI)and State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027ZhejiangChina School of Chemistry University of NottinghamUniversity ParkNottingham NG72RDUK Baima Lake Laboratory Hangzhou 310053ZhejiangChina

The global concerns of energy crisis and climate change,primarily caused by carbon dioxide(CO_(2)),are of utmost importance.Recently,the electrocatalytic CO_(2) reduction reaction(CO_(2)RR) to high value-added multi-carbon(C_(2+)) products driven by renewable electricity has emerged as a highly promising solution to alleviate energy shortages and achieve carbon neutrality.Among these C_(2+) products,ethylene(C_(2)H_(4))holds particular importance in the petrochemical industry.Accordingly,this review aims to establish a connection between the fundamentals of electrocatalytic CO_(2) reduction reaction to ethylene(CO_(2)RRto-C_(2)H_(4)) in laboratory-scale research(lab) and its potential applications in industrial-level fabrication(fab).The review begins by summarizing the fundamental aspects,including the design strategies of high-performance Cu-based electrocatalysts and advanced electrolyzer devices.Subsequently,innovative and value-added techniques are presented to address the inherent challenges encountered during the implementations of CO_(2)RR-to-C_(2)H_(4) in industrial scenarios.Additionally,case studies of the technoeconomic analysis of the CO_(2)RR-to-C_(2)H_(4) process are discussed,taking into factors such as costeffectiveness,scalability,and market potential.The review concludes by outlining the perspectives and challenges associated with scaling up the CO_(2)RR-to-C_(2)H_(4) process.The insights presented in this review are expected to make a valuable contribution in advancing the CO_(2)RR-to-C_(2)H_(4) process from lab to fab.

关键词： CO_(2) electroreduction reaction Ethylene Gas diffusion electrode Machine learning Density functional theory Techno-economic analysis

Chromosomal-level genome and metabolome analyses of highly heterozygous allohexaploid Dendrocalamus brandisii elucidate shoot quality and developmental characteristics

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Journal of Integrative Plant Biology 2024年第6期66卷 1087-1105页

作者： Jutang Jiang zeyu Zhang Yucong Bai Xiaojing Wang Yuping Dou Ruiman Geng Chongyang wu Hangxiao Zhang Cunfu Lu Lianfeng Gu Jian Gao Key Laboratory of National Forestry and Grassland Administration Beijing for Bamboo & Rattan Science and Technology Institute of Gene Science and Industrialization for Bamboo and Rattan Resources International Center for Bamboo and Rattan College of Forestry Basic Forestry and Proteomics Research Center Fujian Agriculture and Forestry University School of Life Science Peking University College of Biological Sciences and Biotechnology Beijing Forestry University

Dendrocalamus brandisii(Munro) Kurz is a sympodial bamboo species with inimitable taste and flavorful shoots. Its rapid growth and use as high-quality material make this bamboo species highly valued for both food processing and wood applications. However, genome information for D. brandisii is lacking, primarily due to its polyploidy and large genome size.Here, we assembled a high-quality genome for hexaploid D. brandisii, which comprises 70chromosomes with a total size of 2,756 Mb,using long-read Hi Fi sequencing. Furthermore,we accurately separated the genome into its three constituent subgenomes. We used Oxford Nanopore Technologies long reads to construct a transcriptomic dataset covering 15 tissues for gene annotation to complement our genome assembly, revealing differential gene expression and post-transcriptional regulation. By integrating metabolome analysis, we unveiled that well-balanced lignin formation, as well as abundant flavonoid and fructose contents,contribute to the superior quality of D. brandisii shoots. Integrating genomic, transcriptomic,and metabolomic datasets provided a solid foundation for enhancing bamboo shoot quality and developing efficient gene-editing techniques. This study should facilitate research on D. brandisii and enhance its use as a food source and wood material by providing crucial genomic resources.

关键词： bamboo shoots Dendrocalamus brandisii (Munro) Kurz flavonoid genome lignin

Emission and optical characteristics of brown carbon in size-segregated particles from three types of Chinese ships

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Journal of Environmental Sciences 2024年第8期142卷 248-258页

作者： Fengqin Yang Fan Zhang zeyu Liu Yingjun Chen Yan Zhang Can wu Yali Lei Shijie Liu Binyu Xiao Xinyi Wan Yubao Chen Yong Han Min Cui Cheng Huang Gehui Wang Key Lab of Geographic Information Science of the Ministry of Education School of Geographic SciencesEast China Normal UniversityShanghai 200241China Institute of Eco-Chongming 20 Cuiniao Rd.ChongmingShanghai 202150China State Environmental Protection Key Laboratory of Formation and Prevention of the Urban Air Pollution Complex Shanghai Academy of Environmental SciencesShanghai 200233China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3) Department of Environmental Science and EngineeringFudan UniversityShanghai 200438China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092China Department of Civil and Environmental Engineering and State Key Laboratory of Marine Pollution The Hong Kong Polytechnic UniversityKowloon 100872Hong KongChina College of Environmental Science and Engineering Yangzhou UniversityYangzhou 225009China

Brown carbon(BrC)is one of the important light absorption substances that have high light absorption ability under short wavelength light.However,limit studies have focused on the BrC emission from ships.In this study,size-segregated particulate matters(PM)were collected from three different types of ships,light absorption characteristics and size distribution of methanol-soluble BrC and water-soluble BrC in PM from ship exhausts were investigated.Results showed that four-stroke low-power diesel fishing boat(4-LDF)had the highest mass concentrations of methanol-soluble organic carbon(MSOC)and water-soluble organic carbon(WSOC),followed by 2-stroke high-power heavy-fuel-oil vessel(2-HHV),and fourstroke high-power marine-diesel vessel(4-HMV).While 2-HHV had obviously higher light absorption coefficients of methanol-soluble BrC(Abs365,M)and water-soluble BrC(Abs365,W)in unit weight of PM than the other two types of ships.The tested ships presented comparable or higher absorption efficiency of BrC in water extracts(MAE365,W)compared with other BrC emission sources.Majority of BrC was concentrated in fine particles,and the particle size distributions of both Abs365,Mand Abs365,Wshowed bimodal patterns,peaking at0.43–0.65μm and 4.7–5.8μm,respectively.However,different particle size distributions were found for MAE365,Mbetween diesel and heavy fuel oil ships.Besides,different wavelength dependence in particles with different size were also detected.Ship exhaust could be confirmed as a non-ignorable BrC emission source,and complex influencing factor could affect the light absorption characteristics of ship emissions.Particle size should also be considered when light absorption ability of BrC was evaluated.

关键词： Ship emission Brown carbon Light absorption Size distribution

Physics-Informed AI Surrogates for Day-Ahead Wind Power Probabilistic Forecasting with Incomplete Data for Smart Grid in Smart Cities

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 527-554页

作者： zeyu wu Bo Sun Qiang Feng Zili Wang Junlin Pan School of Reliability and Systems Engineering Beihang UniversityBeijingChina Institute of Reliability Engineering Beihang UniversityBeijingChina

Due to the high inherent uncertainty of renewable energy,probabilistic day-ahead wind power forecasting is crucial for modeling and controlling the uncertainty of renewable energy smart grids in smart cities.However,the accuracy and reliability of high-resolution day-ahead wind power forecasting are constrained by unreliable local weather prediction and incomplete power generation data.This article proposes a physics-informed artificial intelligence(AI)surrogates method to augment the incomplete dataset and quantify its uncertainty to improve wind power forecasting performance.The incomplete dataset,built with numerical weather prediction data,historical wind power generation,and weather factors data,is augmented based on generative adversarial networks.After augmentation,the enriched data is then fed into a multiple AI surrogates model constructed by two extreme learning machine networks to train the forecasting model for wind power.Therefore,the forecasting models’accuracy and generalization ability are improved by mining the implicit physics information from the incomplete dataset.An incomplete dataset gathered from a wind farm in North China,containing only 15 days of weather and wind power generation data withmissing points caused by occasional shutdowns,is utilized to verify the proposed method’s performance.Compared with other probabilistic forecastingmethods,the proposed method shows better accuracy and probabilistic performance on the same incomplete dataset,which highlights its potential for more flexible and sensitive maintenance of smart grids in smart cities.

关键词： Physics-informed method probabilistic forecasting wind power generative adversarial network extreme learning machine day-ahead forecasting incomplete data smart grids

Circulating tumor cells shielded with extracellular vesicle-derived CD45 evade T cell attack to enable metastasis

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Signal Transduction and Targeted Therapy 2024年第5期9卷 2114-2131页

作者： Chuan Yang Xueping Wang Kenneth K.W.To Caimei Cui Min Luo Shaocong wu Lamei Huang Kai Fu Can Pan zeyu Liu Teng Fan Caibo Yang Fang Wang Liwu Fu State Key Laboratory of Oncology in South China Guangdong Provincial Clinical Research Center for CancerSun Yat-sen University Cancer CenterGuangzhou 510060P.R.China School of Pharmacy Faculty of MedicineThe Chinese University of Hong KongHong KongChina LABVIV Technology(Shenzhen)Co. LtdShenzhen 518057China

Circulating tumor cells(CTCs)are precursors of distant metastasis in a subset of cancer patients.A better understanding of CTCs heterogeneity and how these CTCs survive during hematogenous dissemination could lay the foundation for therapeutic prevention of cancer metastasis.It remains elusive how CTCs evade immune surveillance and elimination by immune cells.In this study,we unequivocally identified a subpopulation of CTCs shielded with extracellular vesicle(EVs)-derived CD45(termed as CD45^(+)CTCs)that resisted T cell attack.A higher percentage of CD45^(+)CTCs was found to be closely correlated with higher incidence of metastasis and worse prognosis in cancer patients.Moreover,CD45^(+)tumor cells orchestrated an immunosuppressive milieu and CD45^(+)CTCs exhibited remarkably stronger metastatic potential than CD45−CTCs in vivo.Mechanistically,CD45 expressing on tumor surfaces was shown to form intercellular CD45-CD45 homophilic interactions with CD45 on T cells,thereby preventing CD45 exclusion from TCR-pMHC synapse and leading to diminished TCR signaling transduction and suppressed immune response.Together,these results pointed to an underappreciated capability of EVs-derived CD45-dressed CTCs in immune evasion and metastasis,providing a rationale for targeting EVs-derived CD45 internalization by CTCs to prevent cancer metastasis.

关键词： CD45 metastasis prevention

High-yield and rapid isolation of extracellular vesicles by flocculation via orbital acoustic trapping:FLOAT

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Microsystems & Nanoengineering 2024年第1期10卷 313-323页

作者： Joseph Rufo Peiran Zhang zeyu Wang Yuyang Gu Kaichun Yang Joseph Rich Chuyi Chen Ruoyu Zhong Ke Jin Ye He Jianping Xia Ke Li Jiarong wu Yingshi Ouyang Yoel Sadovsky Luke P.Lee Tony Jun Huang Department of Mechanical Engineering and Materials Science Duke UniversityDurhamNCUSA Department of Biomedical Engineering Duke UniversityDurhamNCUSA Department of Obstetrics Gynecologyand Reproductive SciencesMagee-Womens Research InstituteUniversity of PittsburghPittsburghPAUSA Department of Microbiology and Molecular Genetics School of MedicineUniversity of PittsburghPittsburghPAUSA Renal Division and Division of Engineering in Medicine Department of MedicineBrigham and Women’s HospitalHarvard Medical SchoolBostonMAUSA Department of Bioengineering Department of Electrical Engineering and Computer ScienceUniversity of CaliforniaBerkeleyBerkeleyCAUSA Department of Biophysics Institute of Quantum BiophysicsSungkyunkwan UniversitySuwonKorea

Extracellular vesicles(EVs)have been identified as promising biomarkers for the noninvasive diagnosis of various diseases.However,challenges in separating EVs from soluble proteins have resulted in variable EV recovery rates and low purities.Here,we report a high-yield(>90%)and rapid(<10 min)EV isolation method called FLocculation via Orbital Acoustic Trapping(FLOAT).The FLOAT approach utilizes an acoustofluidic droplet centrifuge to rotate and controllably heat liquid droplets.By adding a thermoresponsive polymer flocculant,nanoparticles as small as 20 nm can be rapidly and selectively concentrated at the center of the droplet.We demonstrate the ability of FLOAT to separate urinary EVs from the highly abundant Tamm-Horsfall protein,addressing a significant obstacle in the development of EV-based liquid biopsies.Due to its high-yield nature,FLOAT reduces biofluid starting volume requirements by a factor of 100(from 20 mL to 200µL),demonstrating its promising potential in point-of-care diagnostics.

关键词： trapping utilize separating