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An axisymmetric characteristic model for enhancing prediction of centrifugal compressor characteristics

Chinese Journal of Aeronautics 2024年第4期37卷 203-215页

作者： Peng REN Xiangjun FANG zeyu jiao Ying HAN School of Energy and Power Engineering Beihang UniversityBeijing 100191China Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent ManufacturingGuangdong Academy of SciencesGuangzhou 510070China

Rapid and accurate determination of compressor characteristic maps is essential for the initial design of centrifugal compressors in aircraft power systems. The accuracy of existing methodologies, which rely on combinations of loss models, varies significantly depending on the compressor's geometry and operational range. This variance necessitates substantial experimental or Computational Fluid Dynamics(CFD) data for coefficient calibration. To address this challenge, this study presents an axisymmetric characteristic model for compressor performance assessment. This model incorporates the factors of blade angle, meridional passage area, and the radial deflection angle of meridional streamlines of the compressor. These factors are derived from fundamental aerodynamic equations encompassing mass, momentum, and energy conservation of the compressor. In contrast to conventional one-dimensional approaches, the proposed method reduces the number of loss coefficients and more effectively accounts for the impact of geometric alterations on centrifugal compressor properties. Furthermore, the model reduces dependence on experimental and CFD data. Efficacy of the model is validated using experimental data from four distinct types of centrifugal compressors. Correlation analysis reveals that the model's coefficients can be expressed as functions of the ratio of the Reynolds number to the impeller tip speed. This ratio serves as a characteristic parameter for the design and optimization of centrifugal compressors. Consequently, the proposed method offers an efficient and accurate means for the quick computation of centrifugal compressor characteristics. This is of great significance for improving the efficiency of centrifugal compressors and reducing energy consumption.

关键词： Centrifugal compressor Positive problem Characteristic prediction Aerodynamic characteristic Axisymmetric model

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Method for the multi-view estimation of fish mass using a two-stage neural network with edge-sensitive module

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International Journal of Agricultural and Biological Engineering 2024年第3期17卷 222-229页

作者： zeyu jiao Yingjie Cai Qi Zhang Zhenyu Zhong Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent ManufacturingGuangdong Academy of SciencesGuangzhou 510070China Department of Electronic Engineering The Chinese University of Hong KongHong Kong 999077China College of Economics and Management Northwest A&F UniversityYangling 712100ShaanxiChina

The estimation of fish mass is one of the most basic and important tasks in *** the mass of fish at different growth stages is of great significance for feeding,monitoring the health status of fish,and making breeding plans to increase *** existing estimation methods for fish mass often stay in the 2D plane,and it is difficult to obtain the 3D information on fish,which will lead to the *** solve this problem,a multi-view method was proposed to obtain the 3D information of fish and predict the mass of fish through a two-stage neural network with an edge-sensitive *** the first stage,the side-and downward-view images of the fish and some 3D information,such as side area,top area,length,deflection angle,and pitch angle,were captured to estimate the size of the fish through two vertically placed *** the area of the fish at different views was estimated accurately through the pre-trained image segmentation neural network with an edgesensitive *** the second stage,a fully connected neural network was constructed to regress the fish mass based on the 3D information obtained in the previous *** experimental results indicate that the proposed method can accurately estimate the fish mass and outperform the existing estimation methods.

关键词： fish mass multi-view estimation two-stage neural network edge-sensitive module image segmentation

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Real-time litchi detection in complex orchard environments: A portable, low-energy edge computing approach for enhanced automated harvesting

Artificial Intelligence in Agriculture

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Artificial Intelligence in Agriculture 2024年第1期 13-22页

作者： zeyu jiao Kai Huang Qun Wang Zhenyu Zhong Yingjie Cai Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent ManufacturingGuangdong Academy of SciencesGuangzhouChina School of Economics and Management Beihang UniversityBeijingChina Department of Electronic Engineering The Chinese University of Hong KongHong Kong

Litchi,a succulent and perishable fruit,presents a narrow annual harvest window of under two *** advent of smart agriculture has driven the adoption of visually-guided,automated litchi harvesting ***,conventional approaches typically rely on laboratory-based,high-performance computing equipment,which presents challenges in terms of size,energy consumption,and practical application within litchi *** address these limitations,we propose a real-time litchi detection methodology for complex environments,utilizing portable,low-energy edge computing ***,the litchi orchard imagery is collected to enhance data ***,a convolutional neural network(CNN)-based single-stage detector,YOLOx,is constructed to accurately pinpoint litchi fruit locations within the *** facilitate deployment on portable,low-energy edge devices,we employed channel pruning and layer pruning algorithms to compress the trained model,reducing its size and ***,the knowledge distillation technique is harnessed to fine-tune the *** findings demonstrated that our proposed method achieved a 97.1%compression rate,yielding a compact litchi detection model of a mere 6.9 MB,while maintaining 94.9%average precision and 97.2%average *** 99 frames per second(FPS),the method exhibited a 1.8-fold increase in speed compared to the unprocessed ***,our approach can be readily integrated into portable,low-computational automatic harvesting equipment,ensuring real-time,precise litchi detection within orchard settings.

关键词： Litchi detection Automated harvesting Edge computing Neural networks Model compression

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Accurate and rapid image segmentation method for bayberry automatic picking via machine learning

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International Journal of Agricultural and Biological Engineering 2023年第6期16卷 246-254页

作者： Huan Lei Chentong Li Yu Tang Zhenyu Zhong zeyu jiao Institute of Intelligent Manufacturing Guangdong Academy of SciencesGuangzhou 510070China Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent ManufacturingGuangdong Academy of ScienceGuangzhou 510070China School of Automation Guangdong Polytechnic Normal UniversityGuangzhou 510665China

Due to the short ripening period and complex picking environment,bayberry generally relies on mechanical equipment for picking,especially the automatic picking system guided by ***,it is crucial to locate the bayberry in the view accurately and *** efforts have been made,the existing methods are difficult to implement due to the limited amount of data and the processing *** this study,an accurate and rapid segmentation method based on machine learning was proposed to address this ***,the images collected by the visual guidance system were pre-processed by contrast-limited adaptive histogram equalization(CLAHE)based on the Y component of the YUV color *** advantage of the color difference map of RB and RG for the segmentation of different colors,an adaptive color difference map foreground segmentation method was then adopted for bayberry region foreground ***,distance transforms and marking control watershed methods were exploited to achieve single bayberry fruit ***,with the help of the convex hull theory and fruit shape characteristics,the irregular background interference areas were filtered out,which improved the accuracy of bayberry segmentation *** experimental results show that this method can achieve better segmentation of bayberry in complex orchard environment with an accuracy of 97.4%and only takes 0.136 s to calculate once.

关键词： bayberry image segmentation machine learning automatic picking computer vision

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Multi-scale analysis of schizophrenia risk genes, brain structure, and clinical symptoms reveals integrative dues for subtyping schizophrenia patients

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Journal of Molecular Cell Biology 2019年第8期11卷 678-687页

作者： Liang Ma Edmund T.Rolls Xiuqin Liu Yuting Liu zeyu jiao Yue Wang Weikang Gong Zhiming Ma Fuzhou Gong Lin Wan CAS Key Laboratory of Genomic and Precision Medicine Beijing Institute of Genomics Chinese Academy of Sciences Beijing 100101 China National Center of Mathematics and Interdisciplinary Sciences Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China Department of Computer Science University of Warwick Coventry CV4 7AL UK Oxford Centre for Computational Neuroscience Oxford 0X2 7JF UK School of Mathematics and Physics University of Science and Technology Beijing Beijing 100083 China School of Science Beijing Jiaotong University Beijing 100044 China Centre for Computational Systems Biology School of Mathematical Sciences Fudan University Shanghai 200433 China CAS-MPG Partner Institute for Computational Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031 China University of Chinese Academy of Sciences Beijing 100049 China

Analysis Unking directly genomics, neuroimaging phenotypes and clinical measurements is crucial for understanding psychiatric disorders, but remains ***, we describe a multi-scale analysis using genome-wide SNPs, gene expression, grey matter volume (GMV), and the positive and negative syndrome scale scores (PANSS) to explore the etiology of schizophrenia. With 72 drug-naive schizophrenic first episode patients (FEPs) and 73 matched heathy controls, we identified 108 genes, from schizophrenia risk genes, that correlated significantly with GMV, which are highly co-expressed in the brain during development. Among these 108 candidates, 19 distinct genes were found associated with 16 brain regions referred to as hot clusters (HCs), primarily in the frontal cortex, sensory-motor regions and temporal and parietal *** patients were subtyped into three groups with distinguishable PANSS scores by the GMV of the identified HCs. Furthermore, we found that HCs with common GMV among patient groups are related to genes that mostly mapped to pathways relevant to neural signaling, which are associated with the risk for *** results provide an integrated view of how genetic variants may affect brain structures that lead to distinct disease *** method of multi-scale analysis that was described in this research, may help to advance the understanding of the etiology of schizophrenia.

关键词： Schizophrenia PANSS multi-scale analysis hot cluster grey matter volume pathway

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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 ***,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 ***,we design a controller to realize the MSS on SO(3)with attitude consensus and attitude stabilization under stochastic links failure and actuator ***,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

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用于重建物理和虚拟抓取的可重构数据手套

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Engineering 2024年第1期32卷 202-216页

作者： Hangxin Liu zeyu Zhang Ziyuan jiao Zhenliang Zhang Minchen Li Chenfanfu Jiang Yixin Zhu Song-Chun Zhu National Key Laboratory of General Artificial Intelligence Beijing Institute for General Artificial Intelligence(BIGAI)Beijing 100080China Center for Vision CognitionLearning and AutonomyUniversity of CaliforniaLos AngelesCA 90095USA Multi-Physics Lagrangian-Eulerian Simulations Laboratory Department of MathematicsUniversity of CaliforniaLos AngelesCA 90095USA Institute for Artificial Intelligence Peking UniversityBeijing 100871China Department of Automation Tsinghua UniversityBeijing 100084China

In this work,we present a reconfigurable data glove design to capture different modes of human hand-object interactions,which are critical in training embodied artificial intelligence(AI)agents for fine manipulation *** achieve various downstream tasks with distinct features,our reconfigurable data glove operates in three modes sharing a unified backbone design that reconstructs hand gestures in real *** the tactile-sensing mode,the glove system aggregates manipulation force via customized force sensors made from a soft and thin piezoresistive material;this design minimizes interference during complex hand *** virtual reality(VR)mode enables real-time interaction in a physically plausible fashion:A caging-based approach is devised to determine stable grasps by detecting collision *** a state-of-the-art finite element method,the simulation mode collects data on fine-grained four-dimensionalmanipulation events comprising hand and object motions in three-dimensional space and how the object's physical properties(e.g.,stress and energy)change in accordance with manipulation over ***,the glove system presented here is the first to use high-fidelity simulation to investigate the unobservable physical and causal factors behind manipulation *** a series of experiments,we characterize our data glove in terms of individual sensors and the overall *** specifically,we evaluate the system's three modes by①recording hand gestures and associated forces,②improving manipulation fluency in VR,and③producing realistic simulation effects of various tool uses,*** on these three modes,our reconfigurable data glove collects and reconstructs fine-grained human grasp data in both physical and virtual environments,thereby opening up new avenues for the learning of manipulation skills for embodied AI agents.

关键词： Data glove Tactile sensing Virtual reality Physics-based simulation

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Molecular Engineering of Aptamer to Solubilize Hydrophobic Near-Infrared Photosensitizer for Enhanced Cancer Photodynamic Therapy

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CCS Chemistry 2024年第5期6卷 1240-1254页

作者： Rongjun Zhang Ding-Kun Ji Defan Yao zeyu Xiao Weihong Tan Institute of Molecular Medicine(IMM) Renji HospitalState Key Laboratory of Oncogenes and Related GenesShanghai Jiao Tong University School of MedicineShanghai 200240 Department of Radiology Xinhua HospitalShanghai Jiao Tong University School of MedicineShanghai 200092 Department of Pharmacology and Chemical Biology School of MedicineShanghai Jiao Tong UniversityShanghai 200025 Zhejiang Cancer Hospital Hangzhou Institute of Medicine(HIM)The Chinese Academy of SciencesHangzhouZhejiang 310022 Molecular Science and Biomedicine Laboratory(MBL) State Key Laboratory of Chemo/Biosensing and ChemometricsCollege of Chemistry and Chemical EngineeringCollege of BiologyAptamer Engineering Center of Hunan ProvinceHunan UniversityChangshaHunan 410082

Photodynamic therapy(PDT)is a clinically representative treatment strategy for ***,conventional photosensitizers(PSs)are usually hampered by poor water solubility and low targeting ***,we report the precise molecular engineering of aptamer oligonucleotides to solubilize hydrophobic near-infrared(NIR)PSs for enhanced cancer *** pyropheophorbide A(PA)is precisely conjugated to aptamer oligonucleotides by combing DNA solid-phase synthesis technology and Cu-free click *** coupling of insoluble PA to hydrophilic aptamer oligonucleotides vastly improves its solubility to as high as 750μM in water without any cosolvent,resulting in an enhanced NIR fluorescence property(quantum yield=23%)and ***,the targeting ability of aptamer oligonucleotides is not affected by our molecular engineering *** reactive oxygen species(ROS)are produced intracellularly with 660 nm laser irradiation,eliciting mitochondria damage and cell *** growth is effectively inhibited with a single dose of aptamer-PA conjugates without in vivo *** therapeutic effect is more than 20-fold higher than that of *** with traditional formulation,using aptamer oligonucleotides as functional carriers to solubilize hydrophobic NIR PSs is more precise and *** DNA molecular engineering strategy paves a way for the rational design of molecularly targeted medicine for future clinical cancer therapy.

关键词： aptamer aptamer-drug conjugates photosensitive drugs targeted photodynamic therapy cancer theranostics

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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 *** 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 *** 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,***,the ending of pandemic does not mean that the disease is no longer a health *** against COVID-19 from China and the whole world should be learned to prepare well for the future public health *** 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

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The First-in-Human Whole-Body Dynamic Pharmacokinetics Study of Aptamer

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Research 2024年第1期2023卷 119-130页

作者： Ding Ding Haitao Zhao Dali Wei Qinglai Yang Cai Yang Ruowen Wang Yumei Chen Lianghua Li Shuxian An Qian Xia Gang Huang Jianjun Liu zeyu Xiao Weihong Tan Institute of Molecular Medicine(IMM) Renji HospitalState Key Laboratory of Oncogenes and Related GenesShanghai Jiao Tong University School of Medicineand College of Chemistry and Chemical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Nuclear Medicine Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200127China Center for Molecular Imaging Probes Cancer Research InstituteUniversity of South ChinaHengyangHunan 421001China The Key Laboratory of Zhejiang Province for Aptamers and Theranostics Zhejiang Cancer HospitalHangzhou Institute of Medicine(HIM)Chinese Academy of SciencesHangzhouZhejiang 310022China Molecular Science and Biomedicine Laboratory(MBL) State Key Laboratory of Chemo/Biosensing and ChemometricsCollege of Chemistry and Chemical EngineeringHunan UniversityChangshaHunan 410082China Shanghai Key Laboratory of Molecular Imaging Shanghai University of Medicine and Health SciencesShanghai 201318China Department of Pharmacology and Chemical Biology Shanghai Jiao Tong University School of MedicineShanghai200127China

Serving as targeting ligands,aptamers have shown promise in precision ***,the lack of knowledge of the biosafety and metabolism patterns in the human body largely impeded aptamers’clinical *** bridge this gap,here we report the first-in-human pharmacokinetics study of protein tyrosine kinase 7 targeted SGC8 aptamer via in vivo PET tracking of gallium-68(^(68)Ga)radiolabeled *** specificity and binding affinity of a radiolabeled aptamer,named ^(68)Ga[Ga]-NOTA-SGC8,were maintained as proven in *** preclinical biosafety and biodistribution evaluation confirmed that aptamers have no biotoxicity,potential mutation risks,or genotoxicity at high dosage(40 mg/kg).Based on this result,a first-in-human clinical trial was approved and carried out to evaluate the circulation and metabolism profiles,as well as biosafety,of the radiolabeled SGC8 aptamer in the human *** advantage of the cutting-edge total-body PET,the aptamers’distribution pattern in the human body was acquired in a dynamic fashion.

关键词： metabolism dosage Whole

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