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Human CD39hi regulatory T cells present stronger stability and function under inflammatory conditions

Cellular & Molecular Immunology 2017年第6期14卷 521-528页

作者： Jian Gu xuhao Ni Xiongxiong Pan Hao Lu Yunjie Lu Jie Zhao Song Guo Zheng Keli L Hippen Xuehao wang Ling Lu Translational Medicine Research Center Affiliated Jiangning Hospital and Liver Transplantation Center First Affiliated Hospital Nanjing Medical University Nanjing 210029 China University of Minnesota Cancer Center and Division of Bone Marrow Transplantation Department of Pediatrics University of Minnesota Minneapolis MN 55455 USA Division of Rheumatology Penn State Milton S. Hershey Medical Center Hershey PA 17033 USA

Autoimmune diseases are characterized by an imbalance between regulatory T cells and effector T-cell subsets, such as Thl and Th17 cells. Studies have confirmed that natural CD4＋Foxp3＋ Tregs were unstable and dysfunctional in the presence of pro-inflammatory cytokines. In the current study, human CD39hi Tregs and CD39low Tregs were sorted from Tregs in vitro after 7 days of expansion. The functions of both Treg subsets were investigated under inflammatory conditions in vitro and in vivo. In the presence of IL-1β and IL-6, cultured CD4＋CD39hi Tregs maintained stable forkhead box protein 3 expression, whereas CD4＋CD39low Tregs lost Foxp3 expression and trans-differentiated into Thl or Th17 cells. Decreased IL-1βR and IL-6R expression on the CD39hi Tregs was the primary mechanism responsible for Treg stability. In addition, reduced activation of downstream molecules, such as STAT1 and STAT3, through the modulation of CpG demethylation played an important role. Finally, human CD4＋CD39hi Tregs but not CD4＋CD39low Tregs protected against xenograft versus host disease in model mice. These results strongly implied the physiological importance of CD39 expression and suggested that manipulation of CD39hi Tregs might represent a novel strategy for the treatment of autoimmune diseases.

关键词： CD39 stability Tregs xeno-GVHD

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Theoretical and Applied Mechanics Letters

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Theoretical & Applied Mechanics Letters 2021年第2期11卷 63-69页

作者： Xuan Zhao Lin Du xuhao Peng Zichen Deng Weiwei Zhang College of Aeronautics Northwestern Polytechnical UniversityXi’an 710072China National Key Laboratory Science and Technology on Aerodynamic Design and Research Northwestern Polytechnical UniversityXi’an 710072China School of Mathematics and Statistics Northwestern Polytechnical UniversityXi’an 710129China MIITKey Laboratory of Dynamics and Control of Complex Systems Northwestern Polytechnical UniversityXi’an 710072China School of Mechanics Civil Engineering and ArchitectureNorthwestern Polytechnical UniversityXi’an 710129China

The placement of pressure taps on the surface of the wind tunnel test model is an important means toobtain the surface pressure ***,limited by space location and experimental cost,it isdifficult to arrange enough pressure measuring taps on the surface of complex models to obtain completepressure distribution information,thus it is impossible to obtain accurate lift and moment characteristicsthrough *** paper proposes a refined reconstruction method of airfoil surface pressure basedon compressed sensing,which can reconstruct the pressure distribution with high precision with lesspressure measurement *** on typical airfoil subsonic flow around flow show that the accuracyof lift and moment after the pressure integration reconstructed by 4-8 measuring points can meet therequirements of the national military *** algorithm is robust to noise,and provides a new ideafor obtaining accurate force data from sparse surface pressure tests in engineering.

关键词： Pressure test Compressed sensing Proper orthogonal decomposition Pressure field reconstruction

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Acousto-optic scanning spatial-switching multiphoton lithography

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International Journal of Extreme Manufacturing 2023年第3期5卷 597-606页

作者： Binzhang Jiao Fayu Chen Yuncheng Liu xuhao Fan Shaoqun Zeng Qi Dong Leimin Deng Hui Gao Wei Xiong Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhanHubei 430074People’s Republic of China Optics Valley Laboratory WuhanHubei430074People’s Republic of China

Nano-3D printing has obtained widespread attention owing to its capacity to manufacture end-use components with nano-scale features in recent *** lithography(MPL)is one of the most promising 3D nanomanufacturing technologies,which has been widely used in manufacturing micro-optics,photonic crystals,microfluidics,meta-surface,and mechanical *** of tremendous potential of MPL in laboratorial and industrial applications,simultaneous achievement of high throughput,high accuracy,high design freedom,and a broad range of material structuring capabilities remains a long-pending *** address the issue,we propose an acousto-optic scanning with spatial-switching multispots(AOSS)***-free acousto-optic scanning and nonlinear swept techniques have been developed for achieving ultrahigh-speed and aberration-free ***,a spatial optical switch concept has been implemented to significantly boost the lithography throughput while maintaining high resolution and high design *** eight-foci AOSS system has demonstrated a record-high 3D printing rate of 7.6×10^(7)voxel s^(-1),which is nearly one order of magnitude higher than earlier scanning MPL,exhibiting its promise for future scalable 3D nanomanufacturing.

关键词： 3D nano-printing acousto-optic scanning aberration-free wavefront spatial-switching

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Dynamic interactive bitwise meta-holography with ultra-high computational and display frame rates

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Opto-Electronic Advances 2024年第1期7卷 36-46页

作者： Yuncheng Liu Ke Xu xuhao Fan Xinger wang Xuan Yu Wei Xiong Hui Gao Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information Huazhong University of Science and TechnologyWuhan 430074China Optics Valley Laboratory Wuhan 430074China

Interactive holography offers unmatched levels of immersion and user engagement in the field of future *** of the substantial progress has been made in dynamic meta-holography,the realization of real-time,highly smooth interactive holography remains a significant challenge due to the computational and display frame rate *** this study,we introduced a dynamic interactive bitwise meta-holography with ultra-high computational and display frame *** our knowledge,this is the first reported practical dynamic interactive metasurface holographic *** spa-tially divided the metasurface device into multiple distinct channels,each projecting a reconstructed *** switching states of these channels were mapped to bitwise operations on a set of bit values,which avoids complex holo-gram computations,enabling an ultra-high computational frame *** approach achieves a computational frame rate of 800 kHz and a display frame rate of 23 kHz on a low-power Raspberry Pi computational *** to this methodology,we demonstrated an interactive dynamic holographic Tetris game system that allows interactive gameplay,color display,and on-the-fly hologram *** technology presents an inspiration for advanced dynamic meta-holography,which is promising for a broad range of applications including advanced human-computer interaction,real-time 3D visualization,and next-generation virtual and augmented reality systems.

关键词： interactive display meta-holography bitwise operation ultra-high frame rate

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Correlation between microstructures and macroscopic properties of nickel/ yttria-stabilized zirconia (Ni-YSZ) anodes: Meso-scale modeling and deep learning with convolutional neural networks

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Energy and AI 2022年第1期7卷 31-42页

作者： xuhao Liu Shihao Zhou Zilin Yan Zheng Zhong Naoki Shikazono Shotaro Hara School of Science Harbin Institute of TechnologyShenzhen518055China Institute of Industrial Science The University of TokyoTokyo153-8505Japan Department of Mechanical Engineering Faculty of EngineeringChiba Institute of TechnologyChiba275-0016Japan

A deep learning based homogenization framework is proposed to link the microstructures of porous nickel/yttriastabilized zirconia anodes in solid oxide fuel cells(SOFCs)to their effective macroscopic properties.A variety of microstructures are generated by the discrete element method and the meso‑scale kinetic Monte Carlo ***,the finite element method and the homogenization theory are used to calculate the effective elastic modulus(E),Poisson’s ratio(υ),shear modulus(G)and coefficient of thermal expansion(CTE)of representative volume *** addition,the triple-phase boundary length density(LTPB)is also *** convolutional neural network(CNN)based deep learning model is trained to find the potential relationship between the microstructures and the five effective macroscopic *** comparison between the ground truth and the predicted values of the new samples proves that the CNN model has an excellent predictive *** indicates that the CNN model could be used as an effective alternative to numerical simulations and homogenization because of its accurate and rapid prediction *** the deep learning-based homogenization framework could potentially accelerate the continuum modeling of SOFCs for microstructure optimization.

关键词： Solid oxide fuel cells Porous microstructure Anode Effective macroscopic properties Convolutional neural network

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Metasurface-enabled on-chip multiplexed diffractive neural networks in the visible

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Light(Science & Applications) 2022年第7期11卷 1443-1453页

作者： xuhao Luo Yueqiang Hu Xiangnian Ou Xin Li Jiajie Lai Na Liu Xinbin Cheng Anlian Pan Huigao Duan National Research Center for High-Efficiency Grinding College of Mechanical and Vehicle EngineeringHunan UniversityChangsha 410082China Institute of Precision Optical Engineering School of Physics Science and EngineeringTongji UniversityShanghai 200092China Advanced Manufacturing Laboratory of Micro-Nano Optical Devices Shenzhen Research InstituteHunan UniversityShenzhen 518000China 2nd Physics Institute University of StuttgartPfaffenwaldring 5770569 StuttgartGermany Max Planck Institute for Solid State Research Heisenbergstrasse 170569 StuttgartGermany Greater Bay Area Institute for Innovation Hunan UniversityGuangzhou 511300China

Replacing electrons with photons is a compelling route toward high-speed,massively parallel,and low-power artificial intelligence ***,diffractive networks composed of phase surfaces were trained to perform machine learning tasks through linear optical ***,the existing architectures often comprise bulky components and,most critically,they cannot mimic the human brain for ***,we demonstrate a multi-skilled diffractive neural network based on a metasurface device,which can perform on-chip multi-channel sensing and multitasking in the *** polarization multiplexing scheme of the subwavelength nanostructures is applied to construct a multi-channel classifier framework for simultaneous recognition of digital and fashionable *** areal density of the artificial neurons can reach up to 6.25×10^(6)mm^(-2) multiplied by the number of *** metasurface is integrated with the mature complementary metal-oxide semiconductor imaging sensor,providing a chip-scale architecture to process information directly at physical layers for energy-efficient and ultra-fast image processing in machine vision,autonomous driving,and precision medicine.

关键词： visible autonomous complementary

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Progress in Preparation Technology of Porous Ceramics for High Temperature Dust Filtration

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China's Refractories 2023年第4期32卷 42-51页

作者： ZHANG Keke QIN Feng YAN Miaoxin LIU Shijie LI xuhao GUO Yusen wang Li YIN Chaofan DONG Binbin School of Materials Science and Engineering Luoyang Institute of Science and TechnologyLuoyang471023China

With the rapid industrialization and urbanization,the demand for air quality management is more and more *** temperature dust filtration is one important environmental management *** ceramics are used as filter materials in the field of high-temperature dust filtration because of their unique advantages such as high filtration efficiency,as well as high temperature stability,particle loss resistance,corrosion resistance and *** paper mainly introduced several common preparation techniques of porous ceramics,including the traditional organic foam impregnation method,foaming method,in-situ combustion method,pore-forming method and other new methods such as the template method,gel injection molding method,freeze-drying method,multi-component co-precipitation method and hydrogel *** principle,advantages and disadvantages of these preparation technologies and their research status were *** application of these technologies in the field of high temperature dust filtration was briefly ***,the application prospect of the porous ceramics in the field of high temperature dust filtration was prospected.

关键词： high temperature smoke dust filtration porous ceramics porosity removal rate

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Prediction of impedance responses of protonic ceramic cells using artificial neural network tuned with the distribution of relaxation times

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Journal of Energy Chemistry 2023年第3期78卷 582-588,I0016页

作者： xuhao Liu Zilin Yan Junwei Wu Jake Huang Yifeng Zheng Neal PSullivan Ryan O'Hayre Zheng Zhong Zehua Pan School of Science Harbin Institute of TechnologyShenzhen 518055GuangdongChina School of Materials Engineering Harbin Institute of TechnologyShenzhen 518055GuangdongChina Department of Metallurgical and Materials Engineering Colorado School of Mines1500 Illinois St.Golden 80401ColoradoUSA College of Materials Science and Engineering Nanjing Tech UniversityNo.30 Puzhu Road(S)Nanjing 211816JiangsuChina Department of Mechanical Engineering Colorado School of Mines1500 Illinois St.Golden 80401ColoradoUSA

A deep-learning-based framework is proposed to predict the impedance response and underlying electrochemical behavior of the reversible protonic ceramic cell(PCC) across a wide variety of different operating *** impedance spectra(EIS) of PCCs were first acquired under a variety of opera ting conditions to provide a dataset containing 36 sets of EIS spectra for the *** artificial neural network(ANN) was then trained to model the relationship between the cell operating condition and EIS ***,ANN model-predicted EIS spectra were analyzed by the distribution of relaxation times(DRT) and compared to DRT spectra obtained from the experimental EIS data,enabling an assessment of the accumulative errors from the predicted EIS data vs the predicted *** show that in certain cases,although the R^(2)of the predicted EIS curve may be> 0.98,the R^(2)of the predicted DRT may be as low as~*** can lead to an inaccurate ANN prediction of the underlying time-resolved electrochemical response,although the apparent accuracy as evaluated from the EIS prediction may seem *** adjustment of the parameters of the ANN framework,the average R^(2)of the DRTs derived from the predicted EIS can be improved to ***,we demonstrate that a properly tuned ANN model can be used as an effective tool to predict not only the EIS,but also the DRT of complex electrochemical systems.

关键词： Protonic ceramic fuel cell/electrolysis cell Electrochemical impedance spectroscopy Distribution of relaxation times Artiﬁcial neural network

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Umbilical moxibustion combined with acupuncture for interstitial cystitis

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World Journal of Acupuncture-Moxibustion 2019年第3期29卷 241-243页

作者： Xin MA xuhao LI Xiqing XUE Jiguo YANG School of Acupuncture-Moxibustion Shandong University of Traditional Chinese Medicine Jinan 250355 China Shandong University of Traditional Chinese Medicine Jinan 250355 China

A 56-year-old female patient with interstitial cystitis was treated with umbilical moxibustion combined with *** doctor prepared the wheat flour-made bowl and the herbal powder for umbilical *** bowl was put on the patient's umbilicus with a small hole in the middle of the bowl directly facing the navel,in which,the herbal powder was *** moxa cone was put on the bowl and ***,3 cones were *** umbilical moxibustion,acupuncture was adopted at Guanyuan(关元CV12),Zhongji(中极CV3),Dahe(大赫KI12),*** above treatment was given twice a week and 2-week treatment was as one *** 4 courses of treatment,the clinical symptoms basically *** cystoscopic examination results were recovered to be normal.

关键词： Umbilical moxibustion Acupuncture Interstitial cystitis Medical case

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Machine-learning-based interatomic potentials for advanced manufacturing

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International Journal of Mechanical System Dynamics 2021年第2期1卷 159-172页

作者： Wei Yu Chaoyue Ji xuhao Wan Zhaofu Zhang John Robertson Sheng Liu Yuzheng Guo School of Electrical Engineering and Automation Wuhan UniversityWuhanChina Institute of Technological Sciences Wuhan UniversityWuhanChina Engineering Department Cambridge UniversityCambridgeUK School of Power and Mechanical Engineering Wuhan UniversityWuhanChina

This paper summarizes the progress of machine-learning-based interatomic potentials and their applications in advanced *** potential is essential for classical molecular *** advancements made in machine learning(ML)have enabled the development of fast interatomic potential with ab initio *** accelerated atomic simulation can greatly transform the design principle of manufacturing *** most widely used supervised and unsupervised ML methods are summarized and ***,the emerging interatomic models based on ML are discussed:Gaussian approximation potential,spectral neighbor analysis potential,deep potential molecular dynamics,SCHNET,hierarchically interacting particle neural network,and fast learning of atomistic rare events.

关键词： advanced manufacturing interatomic potential machine learning molecular dynamics

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