|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Regional Ocean Reanalysis System for Coastal Waters of China and Adjacent Seas显示文摘A regional ocean reanalysis system for the coastal waters of China and adjacent seas has been developed by the National Marine Data and Information Service(NMDIS).It produces a dataset package called CORA (China ocean reanalysis).The regional ocean model used is based on the Princeton Ocean Model with a generalized coordinate system(POMgcs).The model is parallelized by NMDIS with the addition of the wave breaking and tidal mixing processes into model parameterizations.Data assimilation is a sequential three-dimensional variational(3D-Var) scheme implemented within a multigrid framework.Observations include satellite remote sensing sea surface temperature(SST),altimetry sea level anomaly(SLA),and temperature/salinity profiles.The reanalysis fields of sea surface height,temperature,salinity,and currents begin with January 1986 and are currently updated every year. Error statistics and error distributions of temperature,salinity and currents are presented as a primary evaluation of the reanalysis fields using sea level data from tidal gauges,temperature profiles,as well as the trajectories of Argo floats.Some case studies offer the opportunity to verify the evolution of certain local circulations.These evaluations show that the reanalysis data produced provide a good representation of the ocean processes and phenomena in the coastal waters of China and adjacent seas. | Guijun Han Wei Li Xuefeng Zhang Dong Li Zhongjie He Xidong Wang Xinrong Wu Ting Yu Jirui Ma | 2011 | Advances in Atmospheric Sciences2011，28，3： | 27 |
| 2 | High-performance organic electrolyte supercapacitors based on intrinsically powdery carbon aerogels显示文摘A novel class of powdery carbon aerogels(PCAs) has been developed by the union of microemulsion polymerization and hypercrosslinking, followed by carbonization. The resulting aerogels are in a microscale powdery form, demonstrate a well-defined 3D interconnected nanonetwork with hierarchical pores derived from numerous interstitial nanopores and intraparticle micropores, and exhibit high surface area(up to 1969 m^2/g). Benefiting from these structural features, PCAs show impressive capacitive performances when utilized as electrodes for organic electrolyte supercapacitors,including large capacitances of up to 152 F/g, high energy densities of 37-15 Wh/kg at power densities of 34–6750 W/kg, and robust cycling stability. | Xidong Lin He Lou Wenrui Lu Fei Xu Ruowen Fu Dingcai Wu | 2018 | Chinese Chemical Letters2018，29，4： | 1 |
| 3 | Synergistic enhancement of immunological responses triggered by hyperthermia sensitive Pt NPs via NIR laser to inhibit cancer relapse and metastasis显示文摘The combination of tumor ablation and immunotherapy is a promising strategy against tumor relapse and metastasis.Photothermal therapy(PTT)triggers the release of tumor-specific antigens and damage associated molecular patterns(DAMPs)in-situ.However,the immunosuppressive tumor microenvironment restrains the activity of the effector immune cells.Therefore,systematic immunomodulation is critical to stimulate the tumor microenvironment and augment the anti-tumor therapeutic effect.To this end,polyethylene glycol(PEG)-stabilized platinum(Pt)nanoparticles(Pt NPs)conjugated with a PD-L1 inhibitor(BMS-1)through a thermo-sensitive linkage were constructed.Upon near-infrared(NIR)exposure,BMS-1 was released and maleimide(Mal)was exposed on the surface of Pt NPs,which captured the antigens released from the ablated tumor cells,resulting in the enhanced antigen internalization and presentation.In addition,the Pt NPs acted as immune adjuvants by stimulating dendritic cells(DCs)maturation.Furthermore,BMS-1 relieved T cell exhaustion and induced the infiltration of effector T cells into the tumor tissues.Thus,Pt NPs can ablate tumors through PTT,and augment the anti-tumor immune response through enhanced antigen presentation and T cells infiltration,thereby preventing tumor relapse and metastasis. | Jie Yu Sha Liu Yupeng Wang Xidong He Qingfei Zhang Yanxin Qi Dongfang Zhou Zhigang Xie Xiaoyuan Li Yubin Huang | 2022 | Bioactive Materials2022，7，1： | 0 |
| 4 | Promoting the optoelectronic and ferromagnetic properties of Cr_(2)S_(3)nanosheets via Se doping显示文摘Doping can change the band structure of semiconductors,thereby affecting their electrical,optical,and magnetic properties.In this study,we describe the synthesis of two-dimensional(2D)Se-doped Cr_(2)S_(3)(Se-Cr_(2)S_(3))nanosheets using the chemical vapor deposition method.In these semiconductor nanosheets,the Se doping concentration can be controlled by tuning the Se/S mass ratio in the precursor.At the doping concentrations of 10.05%and 2.05%,the room temperature conductivity and mobility were increased by nearly 4 and 2 orders of magnitude,respectively.In addition,the response time of an ultrathin Se-Cr_(2)S_(3)photodetector was 200 times shorter than that of an undoped Cr_(2)S_(3)nanosheet photodetector.4.07%-Se-Cr_(2)S_(3)nanosheets show ferrimagnetic behavior with a Curie temperature of~200 K,which is 80 K higher than that of undoped Cr_(2)S_(3)nanosheets.A density functional theory calculation indicated that the Se doping can induce the formation of intercalated Cr vacancies in SeCr_(2)S_(3)and enhance its metallic characteristics.Our results demonstrated that Se-Cr_(2)S_(3)has significant potential in future electronic,optoelectronic,and spintronic devices. | Xinyun Zhou Chang Liu Lingting Song Hongmei Zhang Ziwei Huang Chenglin He Bailing Li Xiaohui Lin Zucheng Zhang Shun Shi Dingyi Shen Rong Song Jia Li Xingqiang Liu Xuming Zou Le Huang Lei Liao Xidong Duan Bo Li | 2022 | Science China(Physics,Mechanics & Astronomy)2022，65，7： | 0 |
| 5 | Combination of super-resolution reconstruction and SGA-Net for marsh vegetation mapping using multi-resolution multispectral and hyperspectral images显示文摘Vegetation is crucial for wetland ecosystems.Human activities and climate changes are increasingly threatening wetland ecosystems.Combining satellite images and deep learning for classifying marsh vegetation communities has faced great challenges because of its coarse spatial resolution and limited spectral bands.This study aimed to propose a method to classify marsh vegetation using multi-resolution multispectral and hyperspectral images,combining super-resolution techniques and a novel self-constructing graph attention neural network(SGA-Net)algorithm.The SGA-Net algorithm includes a decoding layer(SCE-Net)to preciselyfine marsh vegetation classification in Honghe National Nature Reserve,Northeast China.The results indicated that the hyperspectral reconstruction images based on the super-resolution convolutional neural network(SRCNN)obtained higher accuracy with a peak signal-to-noise ratio(PSNR)of 28.87 and structural similarity(SSIM)of 0.76 in spatial quality and root mean squared error(RMSE)of 0.11 and R^(2) of 0.63 in spectral quality.The improvement of classification accuracy(MIoU)by enhanced super-resolution generative adversarial network(ESRGAN)(6.19%)was greater than that of SRCNN(4.33%)and super-resolution generative adversarial network(SRGAN)(3.64%).In most classification schemes,the SGA-Net outperformed DeepLabV3+and SegFormer algorithms for marsh vegetation and achieved the highest F1-score(78.47%).This study demonstrated that collaborative use of super-resolution reconstruction and deep learning is an effective approach for marsh vegetation mapping. | Bolin Fu Xidong Sun Yuyang Li Zhinan Lao Tengfang Deng Hongchang He Weiwei Sun Guoqing Zhou | 2023 | International Journal of Digital Earth2023，16，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员