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Computational Visual Media 2024年第1期10卷 27-43页

作者： Mingye Xu Zhipeng Zhou Yali Wang yu qiao Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518000China University of Chinese Academy of Sciences Beijing065001China Shanghai AI Laboratory Shanghai200001China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for SocietyShenzhen518000China Alibaba DAMO Academy Hangzhou242332China

Robustness and generalization are two challenging problems for learning point cloud representation.To tackle these problems,we first design a novel geometry coding model,which can effectively use an invariant eigengraph to group points with similar geometric information,even when such points are far from each other.We also introduce a large-scale point cloud dataset,PCNet184.It consists of 184 categories and 51,915 synthetic objects,which brings new challenges for point cloud classification,and provides a new benchmark to assess point cloud cross-domain generalization.Finally,we perform extensive experiments on point cloud classification,using ModelNet40,ScanObjectNN,and our PCNet184,and segmentation,using ShapeNetPart and S3DIS.Our method achieves comparable performance to state-of-the-art methods on these datasets,for both supervised and unsupervised learning.Code and our dataset are available at https://***/MingyeXu/PCNet184.

关键词： geometry coding self-supervised learning point cloud classification segmentation 3D analysis

A New Method to Identify the Maximum Time Interval between Individual Events in Compound Rainstorm and Heatwave Events

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International Journal of Disaster Risk Science 2024年第3期15卷 453-466页

作者： Junlin Zhang Wei Xu yu qiao Xinli Liao Chenna Meng Qinmei Han Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education Faculty of Geographical Science Beijing Normal University Academy of Disaster Reduction and Emergency Management Ministry of Emergency Management and Ministry of Education Beijing Normal University State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University National Climate Center China Meteorological Administration

Growing evidence indicates that extreme heat and rain may occur in succession within short time periods and cause greater impacts than individual events separated in time and space. Therefore, many studies have examined the impacts of compound hazard events on the social-ecological system at various scales. The definition of compound events is fundamental for such research. However, there are no existing studies that support the determination of time interval between individual events of a compound rainstorm and heatwave(CRH) event, which consists of two or more potentially qualifying component heatwave and rainstorm events. To address the deficiency in defining what individual events can constitute a CRH event, this study proposed a novel method to determine the maximum time interval for CRH events through the change in CRH event frequency with increasing time interval between individual events, using southern China as a case study. The results show that the threshold identified by the proposed method is reasonable. For more than 90% of the meteorological stations, the frequency of CRH events has reached a maximum when the time interval is less than or equal to the threshold. This study can aid in time interval selection, which is an important step for subsequent study of CRH events.

关键词： Compound extreme weather event Rainstorm and heatwave Southern China Threshold Time interval

Temporally consistent video colorization with deep feature propagation and self-regularization learning

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Computational Visual Media 2024年第2期10卷 375-395页

作者： Yihao Liu Hengyuan Zhao Kelvin CKChan Xintao Wang Chen Change Loy yu qiao Chao Dong Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China Department of Electrical&Computer Engineering Nanyang Technological University50 Nanyang AvenueSingapore 639798 Applied Research Center Tencent PCGShenzhenChina

Video colorization is a challenging and highly ill-posed problem.Although recent years have witnessed remarkable progress in single image colorization,there is relatively less research effort on video colorization,and existing methods always suffer from severe flickering artifacts(temporal inconsistency)or unsatisfactory colorization.We address this problem from a new perspective,by jointly considering colorization and temporal consistency in a unified framework.Specifically,we propose a novel temporally consistent video colorization(TCVC)framework.TCVC effectively propagates frame-level deep features in a bidirectional way to enhance the temporal consistency of colorization.Furthermore,TCVC introduces a self-regularization learning(SRL)scheme to minimize the differences in predictions obtained using different time steps.SRL does not require any ground-truth color videos for training and can further improve temporal consistency.Experiments demonstrate that our method can not only provide visually pleasing colorized video,but also with clearly better temporal consistency than state-of-the-art methods.A video demo is provided at https://***/watch?v=c7dczMs-olE,while code is available at https://***/lyh-18/TCVC-Tem porally-Consistent-Video-Colorization.

关键词： video colorization temporal consistency feature propagation self-regularization

Potentiation of the lateral habenula-ventral tegmental area pathway underlines the susceptibility to depression in mice with chronic pain

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Science China(Life Sciences) 2024年第1期67卷 67-82页

作者： Chun-Kui Zhang Pan Wang yuan-yuan Ji Jian-Shuai Zhao Jun-Xiang Gu Xian-Xia Yan Hong-Wei Fan Ming-Ming Zhang yu qiao Xiao-Die Liu Bao-Juan Li Ming-Hui Wang Hai-Long Dong Hao-Hong Li Peng-Cheng Huang yun-Qing Li Wu-Gang Hou Jin-Lian Li Tao Chen Department of Anatomy and K.K.Leung Brain Research Centre Fourth Military Medical UniversityXi’an 710032China Beijing Institute of Basic Medical Sciences Beijing 100850China Key Laboratory of Ministry of Public Health for Forensic Science Xi’an Jiaotong UniversityXi’an 710061China Department of Anesthesiology Xijing HospitalFourth Military Medical UniversityXi’an 710032China Department of Neurosurgery the Second Affiliated Hospital of Xian Jiaotong UniversityXi’an 710004China School of Biomedical Engineering Fourth Military Medical UniversityXi’an 710032China Affiliated Mental Health Centre and Hangzhou Seventh People’s Hospital Zhejiang University School of MedicineHangzhou 310013China The MOE Frontier Research Center of Brain&Brain-machine Integration Zhejiang University School of Brain Science and Brain MedicineHangzhou 310058China Department of Neurology The First Affiliated Hospital of Nanchang UniversityNanchang 330006China Department of Anatomy School of MedicineNorthwest UniversityXi’an 710069China

Chronic pain often develops severe mood changes such as depression.However,how chronic pain leads to depression remains elusive and the mechanisms determining individuals’responses to depression are largely unexplored.Here we found that depression-like behaviors could only be observed in 67.9%of mice with chronic neuropathic pain,leaving 32.1%of mice with depression resilience.We determined that the spike discharges of the ventral tegmental area(VTA)-projecting lateral habenula(LHb)glutamatergic(Glu)neurons were sequentially increased in sham,resilient and susceptible mice,which consequently inhibited VTA dopaminergic(DA)neurons through a LHbGlu-VTAGABA-VTADA circuit.Furthermore,the LHbGlu-VTADA excitatory inputs were dampened via GABAB receptors in a pre-synaptic manner.Regulation of LHb-VTA pathway largely affected the development of depressive symptoms caused by chronic pain.Our study thus identifies a pivotal role of the LHb-VTA pathway in coupling chronic pain with depression and highlights the activity-dependent contribution of LHbGlu-to-VTADA inhibition in depressive behavioral regulation.

关键词： chronic pain depression lateral habenula ventral tegmental area dopamine susceptibility

Two-dimensional precise figuring of 500 mm-long X-ray mirror using one-dimensional ion beam system

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Advances in Manufacturing 2024年第1期12卷 177-184页

作者： Qiu-Shi Huang Han-Dan Huang qiao-yu Wu Jun yu Zhong Zhang Zhan-Shan Wang MOE Key Laboratory of Advanced Micro-Structured Materials Institute of Precision Optical Engineering(IPOE)School of Physics Science and EngineeringTongji UniversityShanghai200092People’s Republic of China Shanghai Professional Technical Service Platform for Full-Spectrum and High-Performance Optical Thin Film Devices and Applications Tongji UniversityShanghai200092People’s Republic of China Shanghai Frontiers Science Center of Digital Optics Tongji UniversityShanghai200092People’s Republic of China

In this study,a new method was developed to realize two-dimensional(2D)figure correction of grazing-incidence X-ray mirrors using a one-dimensional(1D)ion-beam figuring system.A mask of holes was specifically designed to generate removal functions at different widths and extend the figuring capability over a wide area.Accordingly,a long mirror could be manufactured.Using this method,the surface height root-mean-square(RMS)error of the center area of 484 mm×16 mm was reduced from 11.49 nm to 2.01 nm,and the 1D meridional RMS error reached 1.0 nm.The proposed method exhibits high precision and cost effectiveness for production of long X-ray mirrors.

关键词： Long-size mirrors Ion beam figuring Two-dimensional figure correction Mask

GPa-level pressure-induced enhanced corrosion resistance in TiZrTaNbSn biomedical high-entropy alloy

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China Foundry 2024年第3期21卷 265-275页

作者： Xiao-hong Wang yu-lei Deng qiao-yu Li Zhi-xin Xu Teng-fei Ma Xing Yang Duo Dong Dong-dong Zhu Xiao-hong Yang Key Laboratory of Air-driven Equipment Technology of Zhejiang Province Quzhou UniversityQuzhou 324000ZhejiangChina School of Materials Science and Engineering Taizhou UniversityTaizhou 318000ZhejiangChina

TiZrTaNb-based high-entropy alloys(HEAs)are research frontier of biomedical materials due to their high hardness,good yield strength,excellent wear resistance and corrosion resistance.Sn,as an essential trace element in the human body that plays a significant role in physiological process.It has stable chemical properties and a low elastic modulus.In this study,a new material,TiZrTaNbSn HEAs,was proposed as a potential biomedical alloy.The Ti_(35)Zr_(25)Ta_(15)Nb_(15)Sn_(10)biomedical high-entropy alloys(BHEAs)were successfully prepared through an arc melting furnace and then remelted using a German high-temperature and high-pressure apparatus under GPa-level(4 GPa and 7 GPa).The precipitation behavior of the needle-like HCP-Zr_(5)Sn_(3)phase that precipitates discontinuously at the grain boundary was successfully controlled.The phase constitution,microstructure,and corrosion resistance of the alloy were studied.The results show that the needle-like HCP-Zr_(5)Sn_(3)phase is eliminated and the(Zr,Sn)-rich nano-precipitated phase is precipitated in the microstructure under high pressure,which leads to the narrowing of grain boundaries and consequently improves the corrosion resistance of the alloy.In addition,the formation mechanisms of(Zr,Sn)-rich nanoprecipitates in BHEAs were discussed.More Zr and Sn dissolve in the matrix due to the effect of high pressure,during the cooling process,they precipitate to form a(Zr,Sn)-rich nano-precipitated phase.

关键词： biomedical HEAs precipitation grain boundary corrosion resistance TiZrTaNbSn

Joint 3D facial shape reconstruction and texture completion from a single image

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Computational Visual Media 2022年第2期8卷 239-256页

作者： Xiaoxing Zeng Zhelun Wu Xiaojiang Peng yu qiao Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhenChina University of Chinese Academy of Sciences BeijingChina

Recent years have witnessed significant progress in image-based 3D face reconstruction using deep convolutional neural networks.However,current reconstruction methods often perform improperly in self-occluded regions and can lead to inaccurate correspondences between a 2D input image and a 3D face template,hindering use in real applications.To address these problems,we propose a deep shape reconstruction and texture completion network,SRTC-Net,which jointly reconstructs 3D facial geometry and completes texture with correspondences from a single input face image.In SRTC-Net,we leverage the geometric cues from completed 3D texture to reconstruct detailed structures of 3D shapes.The SRTC-Net pipeline has three stages.The first introduces a correspondence network to identify pixel-wise correspondence between the input 2D image and a 3D template model,and transfers the input 2D image to a U-V texture map.Then we complete the invisible and occluded areas in the U-V texture map using an inpainting network.To get the 3D facial geometries,we predict coarse shape(U-V position maps)from the segmented face from the correspondence network using a shape network,and then refine the 3D coarse shape by regressing the U-V displacement map from the completed U-V texture map in a pixel-to-pixel way.We examine our methods on 3D reconstruction tasks as well as face frontalization and pose invariant face recognition tasks,using both in-the-lab datasets(MICC,MultiPIE)and in-the-wild datasets(CFP).The qualitative and quantitative results demonstrate the effectiveness of our methods on inferring 3D facial geometry and complete texture;they outperform or are comparable to the state-of-the-art.

关键词： 3D face reconstruction U-V completion pose invariant face recognition deep learning

Exopolysaccharides from lactic acid bacteria,as an alternative to antibiotics,on regulation of intestinal health and the immune system

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Animal Nutrition 2023年第2期13卷 78-89页

作者： Shuo Yang Xiaoqing Xu Qing Peng Lan Ma yu qiao Bo Shi Feed Research Institute Chinese Academy of Agricultural SciencesBeijing100081China

Over-use or misuse of antibiotics in livestock and poultry production contributes to the rising threat of antibiotic resistance in animals and has negative ecological effects.Exopolysaccharides from lactic acid bacteria(LAB-EPS)are a class of biological macromolecules which are secreted by lactic acid bacteria to the outside of the cell wall during their growth and metabolism.Numerous studies demonstrated that LAB-EPS have anti-inflammatory and antimicrobial activities and are able to regulate intestinal health and the immune system in livestock.They are biodegradable,nontoxic and bio-compatible,which are considered as ideal alternatives to antibiotics.This review aims to discuss and summarize recent research findings of LAB-EPS on regulation of intestinal health and the immune system in animals,and thus provide scientific justification for commercial applications of LAB-EPS in livestock.

关键词： Lactic acid bacteria Exopolysaccharides Intestinal health Immune function

Global epidemiology of mental disorder in atrial fibrillation between 1998-2021:A systematic review and meta-analysis

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World Journal of Psychiatry 2024年第1期14卷 179-193页

作者： Shuai Zhang Na Zhang Liu Liu Wang Zheng Zi-Lin Ma Si-yu qiao Ying-Li Zhao Yi-Hong Wei Gang Wu Qiu-Ting yu Bing Deng Lin Shen Department of Cardiology LongHua Hospital Shanghai University of Traditional Chinese MedicineShanghai 200032China Department of Dermatology Yueyang Hospital of Integrated Traditional Chinese and Western MedicineShanghai University of Traditional Chinese MedicineShanghai 200437China

BACKGROUND As the burden of mental disorders among patients with atrial fibrillation(AF)increases,researchers are beginning to pay close attention to the risk and prevalence of these comorbidities.Although studies have independently analyzed the risk of comorbidity with depression and anxiety in patients with AF,no study has systematically focused on the global epidemiology of these two mental disorders.AIM To explore the prevalence of depression and anxiety in patients with AF.METHODS Five databases were searched from their date of establishment until January 2023.Observational studies reporting the comorbidity of AF with depression and anxiety,were included in this study.Basic information,such as the first author/publication year,study year,study type,and prevalence of depression and anxiety,were extracted.STATA SE 15.1 was used to analyze the data.Subgroup,meta-regression,and sensitivity analyses were performed to estimate study heterogeneity.RESULTS After a thorough search,26 studies were identified and included in this metaanalysis.The prevalence rates of depression and anxiety in adults with AF were 24.3%and 14.5%,respectively.Among adult males with AF,the prevalence was 11.7%and 8.7%,respectively,whereas in females it was 19.8%and 10.1%,respectively.In older adults with AF,the prevalence rates of depression and anxiety were 40.3%and 33.6%,respectively.The highest regional prevalence of depression and anxiety was observed in European(30.2%)and North American(19.8%)patients with AF.CONCLUSION In this study,we found that the prevalence of depression and anxiety among patients with AF varies with sex,region,and evaluation scales,suggesting the need for psychological interventions for patients with AF in clinical practice.

关键词： Atrial fibrillation Depression Anxiety Prevalence

Research on the underlying mechanism behind abrasive flow machining on micro-slit structures and simulation of viscoelastic media

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Advances in Manufacturing 2022年第3期10卷 382-396页

作者： Bao-Cai Zhang Shi-Fei Chen Nasim Khiabani yu qiao Xin-Chang Wang School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240People's Republic of China

In this study,the machining mechanism of abrasive flow machining(AFM)microstructures was analyzed in depth according to the transmission morphology and rheological behaviors of the abrasive media.The transmission morphology demonstrated the excellent combination of the polymer melt with abrasive grains at the interface,indicating that the polymer melt,combined with the uniform distribution of the polymer chains,could exert a harmonious axial force on the abrasive grains.Based on the rheological behavior analysis of the abrasive media,for example,the stress relaxation and moduli of storage and loss,a machining mechanism model was established incorporating the effect of microplastic deformation and continuous viscous flow,which was further verified by the grooves along the flow direction.In addition,the PhanThien-Tanner(PTT)model combined with a wall slipping model was employed to simulate the machining process for the first time here.The value of the simulated pressure(1.3 MPa)was similar to the measured pressure(1.45 MPa),as well as the simulated volumetric rate(0.0114 mL/s)to the measured volumetric rate(0.067 mL/s),which further proved the validity of the simulation results.The flow duration(21 s)derived from a velocity of 1.2 mm/s further confirmed the residual stretched state of the polymer chains,which favored the elasticity of the abrasive media on the grains.Meanwhile,the roughly uniform distribution of the shear rate at the main machining region exhibited the advantages of evenly spread storage and loss moduli,contributing to the even extension of indentation caused by the grains on the target surface,which agreed with the mechanism model and machined surface morphology.

关键词： Abrasive flow machining(AFM) Microstructure Machining mechanism Phan-ThienTanner(PTT)model Experimental verification