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Modeling Study of the Impact of Heterogeneous Reactions on Dust Surfaces on Aerosol Optical Depth and Direct Radiative Forcing over East Asia in Springtime

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Atmospheric and Oceanic Science Letters 2011年第6期4卷 309-315页

作者： LI jia-Wei han Zhi-Wei Key Laboratory of Regional Climate-Environment Research for Temperate East Asia （RCE-TEA） Institute of Atmospheric PhysicsChinese Academy of Sciences Beijing 100029 China

The spatial distributions and interannual variations of aerosol concentrations, aerosol optical depth （AOD）, aerosol direct radiative forcings, and their responses to heterogeneous reactions on dust surfaces over East Asia in March 2006-10 were investigated by utilizing a regional coupled climate-chemistry/aerosol model. Anthropogenic aerosol concentrations （inorganic ＋ carbonaceous） were higher in March 2006 and 2008, whereas soil dust reached its highest levels in March 2006 and 2010, resulting in stronger aerosol radiative forcings in these periods. The domain and five-year （2006-10） monthly mean concentrations of anthropogenic and dust aerosols, AOD, and radiative forcings at the surface （SURF） and at the top of the atmosphere （TOA） in March were 2.4 μg m 3 13.1 lag m^-3, 0.18, -19.0 W m^-2, and -7.4 W m^-2, respectively. Heterogeneous reactions led to an increase of total inorganic aerosol concentration; however, the ambient inorganic aerosol concentration decreased, resulting in a smaller AOD and weaker aerosol radiative forcings. In March 2006 and 2010, the changes in ambient inorganic aerosols, AOD, and aerosol radiative forcings were more evident. In terms of the domain and five-year averages, the total inorganic aerosol concentrations increased by 13.7% （0.17 μg m^-3） due to heterogeneous reactions, but the ambient inorganic aerosol concentrations were reduced by 10.5% （0.13 lag m-3）. As a result, the changes in AOD, SURF and TOA radiative forcings were estimated to be -3.9% （-0.007）, -1.7% （0.34 W m^-2）, and -4.3% （0.34 W m^-2）, respectively, in March over East Asia.

关键词： heterogeneous reaction aerosol concentra- tion aerosol optical depth radiative forcing East Asia

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Optimal performance of Cu_(1.8)S_(1-x)Te_(x) thermoelectric materials fabricated via high-pressure process at room temperature

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Journal of Advanced Ceramics 2020年第5期9卷 535-543页

作者： Rui ZhanG Jun PEI Zhi-jia han Yin WU Zhao ZHAO Bo-Ping ZhanG Beijing Municipal Key Laboratory of New Energy Materials and Technologies School of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China

Cu_(1.8)S has been considered as a potential thermoelectric(TE)material for its stable electrical and thermal properties,environmental benignity,and low ***,the TE properties of nanostructured Cu_(1.8)S_(1-x)Te_(x)(0≤x≤0.2)bulks fabricated by a facile process combining mechanical alloying(MA)and room-temperature high-pressure sintering(RT-HPS)technique were optimized via eliminating the volatilization of S element and suppressing grain ***,a single phase of Cu_(1.8)S was obtained at x=0,and a second Cu_(1.96)S phase formed in all Cu_(1.8)S_(1-x)Te_(x) samples when 0.05≤x≤*** further increasing x to 0.15≤x≤0.2,the Cu_(2-z)Te phase was detected and the samples consisted of Cu_(1.8)S,Cu_(1.96)S,and Cu_(2-z)Te *** from a modified band structure and the coexisted phases of Cu_(1.96)S and Cu_(2-z)Te,the power factor is enhanced in all Cu_(1.8)S_(1-x)Te_(x)(0.05≤x≤0.2)*** with a drastic decrease in the thermal conductivity due to the strengthened phonon scatterings from multiscale defects introduced by Te doping and nano-grain boundaries,a maximum figure of merit(ZT)of 0.352 is reached at 623 K for Cu_(1.8)S_(0.875)Te_(0.125),which is 171%higher than that of Cu_(1.8)S(0.130).The study demonstrates that doping Te is an effective strategy to improve the TE performance of Cu_(1.8)S based materials and the proposed facile method combing MA and RT-HPS is a potential way to fabricate nanostructured bulks.

关键词： Cu_(1.8)S Te doping nanostructure high pressure thermoelectric(TE)

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Realization of a full hierarchical topology in hexagonal bilayer acoustic crystals

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Science China(Physics,Mechanics & Astronomy) 2023年第10期66卷 62-69页

作者： Suhao Wang han jia Xinghang Yang Peng Zhang Yunhan Yang Yuzhen Yang Xiaodong Li Key Laboratory of Noise and Vibration Research Institute of AcousticsChinese Academy of SciencesBejing 00190China University of Chinese Academy of Sciences Bejing 100049China State Key Laboratory of Acoustics Institute of AcousticsChinese Academy of SciencesBejing 100190China

Recently, there has been significant research interest in higher-order topological states within artificial lattices, primarily due to their potential for manipulating waves. In this study, we focus on a three-dimensional hexagonal bilayer acoustic crystal with rotation, layer, and translation degrees of freedom. By systematically reducing the crystal symmetries, we realize a full hierarchical structure of the higher-order topological states. This hierarchical progression begins with the valley-induced twodimensional surface state, followed by the one-dimensional hinge state that arises from the topological obstruction, and ultimately culminating in the zero-dimensional corner state resulting from the edge polarization mechanism. Through finite element simulations and numerical calculations of topological invariants, we confirm the topological origins of all these hierarchical states. Moreover, we successfully verified the full hierarchical topology by directly probing the acoustic field within a finitesized three-dimensional sample. This study offers novel perspectives on the fundamental research pertaining to wave modulation and the intelligent control of sound fields.

关键词： higher-order topological states three-dimensional acoustic crystal hierarchical topology wave modulation

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LAMDA-SSL:a comprehensive semi-supervised learning toolkit

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Science China(Information Sciences) 2024年第1期67卷 306-307页

作者： Lin-han jia Lan-Zhe GUO Zhi ZHOU Yu-Feng LI National Key Laboratory for Novel Software Technology Nanjing University

Machine learning, particularly deep learning, has achieved remarkable success across a wide range of tasks. However,most of these tasks demand a substantial amount of labeled training data, which can be challenging to obtain in many real-world applications due to difficulties, costs, or time constraints associated with labeling. In this context,semi-supervised learning (SSL) has emerged as a promising paradigm to alleviate the dependency on large labeled datasets by harnessing the power of unlabeled data [1–3].

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Time-domain floater stress analysis for a floating wind turbine

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Journal of Ocean Engineering and Science 2023年第4期8卷 435-445页

作者： Zhen Gao Daniel Merino Kai-jia han Haoran Li Stian Fiskvik School of Naval Architecture Ocean and Civil EngineeringShanghai Jiao Tong UniversityChina Department of Marine Technology Norwegian University of Science and TechnologyNorway COWI Energy International COWINorway DNV AS HøvikNorway College of Harbour Coastal and Offshore EngineeringHohai UniversityChina

There are increasing focuses on developing cost-effective floating wind turbines,for which efficient stress analysis methods are needed for floater structural *** of the today’s studies focus on global analysis methods in which the floater is assumed as a rigid body or multiple rigid bodies and the stress distributions in the floater cannot be directly *** part of the COWI Fonden funded EMULF project,a summary about the methodology,the numerical modeling procedure and the verification for stress response analysis of a semi-submersible floater for a 15MW wind turbine is *** analy-sis procedure includes the regeneration of the hydrodynamic pressure loads on the external wet surface of the floater due to wave diffraction,radiation and hydrostatic pressure change,and the application of these pressure loads,together with the time-varying gravity due motions,the inertial loads and the forces/moments at the boundaries(*** bottom and mooring line fairleads)of the floater to obtain the deformation and the stresses of the floater in the time *** analysis procedure is imple-mented in a developed MATLAB code and the DNV software *** importance of the different hydrodynamic pressure components was discussed considering representative sea states.A verification of the obtained stress time series and statistics using this method against the regeneration from a linear frequency-domain approach was made considering irregular wave actions only,and a very good agree-ment was *** developed methodology can provide an efficient solution for structural design analysis of floating wind turbines.

关键词： Floating wind turbine Floater stress analysis Hydrodynamic pressure Coupled dynamic analysis

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A new study on formation mechanism of ordered porous anodized metal oxides

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Rare Metals 2024年第10期43卷 5410-5418页

作者： Xi-Di Sun Xin Guo jia-han Zhang Jing Wu Yi Shi Hui-Yuan Sun Cao-Feng Pan Li-jia Pan Collaborative Innovation Center of Advanced Microstructures School of Electronic Science and EngineeringNanjing UniversityNanjing 210093China College of Physics and Hebei Advanced Thin Film Laboratory Hebei Normal UniversityShijiazhuang 050024China Institute of Atomic Manufacturing Beihang UniversityBeijing 100191China

The preparation of ordered porous metal oxide films by anodic oxidation is an efficient and simple preparation ***,there has been no unified explanation about the formation mechanism of the porous structure for many *** this paper,the relationship between the crystal structure of metals and the morphology of ordered porous metal oxide films is *** influence of the crystal structures of different metals on the optimal morphology of porous films is discussed.

关键词： ordered mechanism metals

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Deep learning-based modeling method for probabilistic LCF life prediction of turbine blisk

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Propulsion and Power Research 2024年第1期13卷 12-25页

作者： Cheng-Wei Fei Yao-jia han Jiong-Ran Wen Chen Li Lei han Yat-Sze Choy Department of Aeronautics and Astronautics Fudan UniversityShanghai 200433China Department of Mechanical Engineering Hong Kong Polytechnic UniversityHong Kong 999077China

Turbine blisk is one of the typical components of gas turbine *** fatigue life of turbine blisk directly affects the reliability and safety of both turbine blisk and aeroengine *** monitor the performance degradation of an aeroengine,an efficient deep learning-based modeling method called convolutional-deep neural network(C-DNN)method is proposed by absorbing the advantages of both convolutional neural network(CNN)and deep neural network(DNN),to perform the probabilistic low cycle fatigue(LCF)life prediction of turbine blisk regarding uncertain influencing *** the C-DNN method,the CNN method is used to extract the useful features of LCF life data by adopting two convolutional layers,to ensure the precision of C-DNN *** two close-connected layers in DNN are employed for the regression modeling of aeroengine turbine blisk LCF life,to keep the ac-curacy of LCF life *** the probabilistic analysis of turbine blisk and the com-parison of methods(ANN,CNN,DNN and C-DNN),it is revealed that the proposed C-DNN method is an effective mean for turbine blisk LCF life prediction and major factors affecting the LCF life were gained,and the method holds high efficiency and accuracy in regression modeling and *** study provides a promising LCF life prediction method for complex structures,which contribute to monitor health status for aeroengines operation.

关键词： Convolutional-deep neural network Low cycle fatigue Life prediction Turbine blisk Probabilistic prediction

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TV100:a TV series dataset that pre-trained CLlP has not seen

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Frontiers of Computer Science 2024年第5期18卷 237-238页

作者： Da-Wei ZHOU Zhi-Hong QI han-jia YE De-Chuan Zhan National Key Laboratory for Novel Sofware Technology Nanjing UniversityNanjing 210023China School of Artificial Intelligence Nanjing UniversityNanjing 2i0023China

In recent years,the field of deep learning has experienced remarkable growth,leading to the emergence of large,pretrained models such as ChatGPT[1],which demonstrates significant capability in understanding and responding to human language inputs,and DALL-E[2],which creatively generates images from textual descriptions in a zero-shot manner.

关键词： such textual see

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PyCIL: a Python toolbox for class-incremental learning

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Science China(Information Sciences) 2023年第9期66卷 291-292页

作者： Da-Wei ZHOU Fu-Yun WANG han-jia YE De-Chuan Zhan State Key Laboratory for Novel Software Technology Nanjing University

With the rapid development of deep learning, current deep models can learn a fixed number of classes with high performance. However, in our ever-changing world, data often come from the open environment, which is with stream format or available temporarily due to privacy issues. As a result, the classification model should learn new classes incrementally instead of restarting the training process.

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Correlation of the retinopathy degree with the change of ocular surface and corneal nerve in patients with type 2 diabetes mellitus

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International Journal of Ophthalmology(English edition) 2021年第5期14卷 750-758页

作者： jia-Xin han He Wang Huan-Huan Liang jian-Xin Guo Xuzhou Medical University Xuzhou 221002Jiangsu ProvinceChina Department of Ophthalmology Affiliated Hospital of Xuzhou Medical UniversityXuzhou 221002Jiangsu ProvinceChina

AIM:To investigate the change of ocular surface and corneal nerve and their correlation in patients suffering from type 2 diabetes mellitus under different degrees of ***:Totally 129 type 2 diabetes mellitus patients(257 eyes)were *** were divided into three groups:no diabetic retinopathy(NDR)group(33 cases,66 eyes),non-proliferative diabetic retinopathy(NPDR)group(32 cases,64 eyes),and proliferative diabetic retinopathy(PDR)group(34 cases,67 eyes).Healthy normal individuals were enrolled as controls(30 cases,60 eyes).Ocular Surface Disease Index(OSDI)questionnaire was completed by all subjects,and dry eye analyzer was applied to examine tear meniscus height(TMH),first tear break-up time(FTBUT),average tear break-up time(ATBUT),tear film lipid layer thickness classification,and meibomian gland loss(MGL)*** nerve fiber density(CNFD),corneal nerve branch density(CNBD),corneal nerve fiber length(CNFL),and corneal nerve fiber tortuosity(CNFT)were examined by in vivo confocal microscopy(IVCM).The differences and correlation among these parameters were ***:Total OSDI score,TMH,FTBUT,ATBUT,tear film lipid layer thickness,MGL score,CNFD,CNBD,CNFL,and CNFT were statistically different among the four groups(P<0.05).In NDR group,CNFL was positively correlated with TMH(r=0.493,both P<0.01)and ATBUT(r=0.437,P<0.05).CNFL in NPDR group was positively correlated with TMH(r=0.642,P<0.01)and ATBUT(r=0.6,P<0.01).CNFL in PDR group was positively correlated with TMH(r=0.364,P<0.05)and ATBUT(r=0.589,P<0.01),with low negative correlation with MGL score(r=-0.331,P<0.05).CONCLUSION:With the progression of diabetic retinopathy,TMH,BUT,lipid layer thickness,CNFL,CNFD,and CNBD gradually decreased,while total OSDI score,MGL score,and CNFT *** is correlated with TMH and ATBUT in diabetic patients.

关键词： type 2 diabetes retinopathy ocular surface corneal nerve in vivo confocal microscopy

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