|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A Scheme of the Hierarchy for Sequence Stratigraphy显示文摘Depositional sequences may be distinguished into six ranks of units as giga-, mega-, meso-, ortho-, sub- and micro-sequence, and are interpreted to be formed during the eustatic cycles with time-intervals of 500-6000 Ma, 60-120 Ma, 30-40 Ma, 2-5 Ma, 0.1-0.4 Ma and 0.02-0.04 Ma respectively. All of them are thought to be essentially related to cosmological cycles, except the megasequence which may be caused by the long-term geothermal cycles on cratons. We deem that the depositional sequences, though often influenced variably by local tectonics and other factors, are primarily global and periodic in nature. We also hold that as one of the planets within the Galaxy, the earth must have been affected in various ways by other asteroids, and that the depositional sequences are merely the responses of the hydrosphere to the cosmological cycles in sedimentation. | Wang Hongzhen Shi Xiaoying (Department of Geology and Mineral Resources, China University of Geosciences, Beijing 100083) | 1996 | Journal of Earth Science1996，15，1： | 11 |
| 2 | Face Image Recognition Based on Convolutional Neural Network显示文摘With the continuous progress of The Times and the development of technology,the rise of network social media has also brought the“explosive”growth of image data.As one of the main ways of People’s Daily communication,image is widely used as a carrier of communication because of its rich content,intuitive and other advantages.Image recognition based on convolution neural network is the first application in the field of image recognition.A series of algorithm operations such as image eigenvalue extraction,recognition and convolution are used to identify and analyze different images.The rapid development of artificial intelligence makes machine learning more and more important in its research field.Use algorithms to learn each piece of data and predict the outcome.This has become an important key to open the door of artificial intelligence.In machine vision,image recognition is the foundation,but how to associate the low-level information in the image with the high-level image semantics becomes the key problem of image recognition.Predecessors have provided many model algorithms,which have laid a solid foundation for the development of artificial intelligence and image recognition.The multi-level information fusion model based on the VGG16 model is an improvement on the fully connected neural network.Different from full connection network,convolutional neural network does not use full connection method in each layer of neurons of neural network,but USES some nodes for connection.Although this method reduces the computation time,due to the fact that the convolutional neural network model will lose some useful feature information in the process of propagation and calculation,this paper improves the model to be a multi-level information fusion of the convolution calculation method,and further recovers the discarded feature information,so as to improve the recognition rate of the image.VGG divides the network into five groups(mimicking the five layers of AlexNet),yet it USES 3*3 filters and combines them as a convolution sequence.Network deeper DCNN,channel number is bigger.The recognition rate of the model was verified by 0RL Face Database,BioID Face Database and CASIA Face Image Database. | Guangxin Lou Hongzhen Shi | 2020 | China Communications2020，17，2： | 10 |
| 3 | Immunotherapy of Epstein-Barr Virus Associated Malignancies Using Mycobacterial HSP70 and LMP2A356-364 Epitope Fusion Protein显示文摘Epstein-Barr virus infection is strongly associated with a number of malignancies.The EBV latent membrane protein 2A has been implicated as one of the most attractive candidates for immunotherapy of related malignancies.In previous studies,the T cell epitopes of LMP2A have been identified systematically.However,the epitope-based vaccine generally meets inefficient immunogenicity when used in vivo directly,which could be overcome by combination with appropriate adjuvants.Heat shock protein is a natural chaperon,which is able to activate the classical major histocompatibility complex class I antigen-processing pathway(cross-presentation).In this study,a minigene encoding LMP2A356-364(FLYALALLL)was genetically fused to the carboxy-terminal of mycobacterial heat shock protein 70.The epitope fusion protein was expressed and purified,and the cross-presentation of LMP2A_(356-364) by monocyte-derived dendritic cells pulsed with the epitope fusion protein was evaluated.Results showed that the epitope fusion protein-pulsed mDCs were much more efficient than the single peptide-pulsed mDCs on CTL activation.Immunization of HLA-A2.1 transgenic mice with MtHsp70-LMP2A_(356-364) generated peptide specific CTL more effectively than a single peptide plus incomplete Freund's adjuvant(IFA).Growth of LMP2A expressing B16 melanoma tumor cells was suppressed in the vaccinated groups.Our results suggested that MtHsp70-LMP2A_(356-364) fusion protein was more effective than the CD8^(+)T cell epitope alone on anti-tumor immunity.As a result,the MtHsp70-LMP2A_(356-364) fusion protein is considered to be a promising candidate vaccine for EBV related malignancies. | Genyan Liu Kun Yao Bing Wang Yun Chen Feng Zhou Yidi Guo Jian Xu Hongzhen Shi | 2009 | Cellular & Molecular Immunology2009，6，6： | 6 |
| 4 | Dynamic recrystallization behavior of Ti–5Al–5Mo–5V–1Cr–1Fe alloy显示文摘 | Houquan Liang Hongzhen Guo Yongquan Ning Xiaona Peng Chun Qin Zhifeng Shi Yang Nan | 2014 | Materials and Design2014，，： | 1 |
| 5 | Study on the simplified phase - shifting digital holographic microscopy显示文摘 | Peizhen Qiu Hui Wang Hongzhen Jin Yong Li Yile Shi | 2010 | Optik2010，121，4： | 1 |
| 6 | Hyperthermia enhances CTL cross-priming 显示文摘 | Hongzhen Shi A Karolina Paluka Jacques Banchereau | 2006 | J Immunology2006，177，4： | 1 |
| 7 | Study on the hot deformation behavior of TC4-DT alloy with equiaxed α + β starting structure based on processing map显示文摘 | Xiaona Peng Hongzhen Guo Zhifeng Shi Chun Qin Zhanglong Zhao Zekun Yao | 2014 | Materials Science & Engineering A2014，，： | 1 |
| 8 | Long-range gene regulation network of the MGMT enhancer modulates glioma cell sensitivity to temozolomide显示文摘Approximately 80%of primary tumors in the central nervous system are malignant glioma,and>50%of those are diagnosed as glioblastoma(GBM),the most aggressive glioma.Despite treatment advances,GBM prognosis is unsatisfying,and the median survival time of patients is only 14-17 months. | Bohan Chen Anshun He Jinfang Bi Shupeng Sun Yiping Ma Wenbin Wang Dianhao Guo Jun Chen Yuyang Qian Tengfei Shi Guohui Nie Zhongfang Zhao Jiandang Shi Hongzhen Yang Lei Zhang Wange Lu | 2021 | Journal of Genetics and Genomics2021，48，10： | 1 |
| 9 | Constitutive equations for high temperature flow stress of TC4-DT alloy incorporating strain, strain rate and temperature显示文摘 | Xiaona Peng Hongzhen Guo Zhifeng Shi Chun Qin Zhanglong Zhao | 2013 | Materials and Design2013，，： | 1 |
| 10 | The flow behavior and constitutive equation in isothermal compression of FGH4096-GH4133B dual alloy显示文摘 | Yanhui Liu Zekun Yao Yongquan Ning Yang Nan Hongzhen Guo Chun Qin Zhifeng Shi | 2014 | Materials and Design2014，，： | 1 |
| 11 | Stable perovskite solar cells with 23.12% efficiency and area over 1 cm^(2) by an all-in-one strategy显示文摘To realize the commercialization of perovskite solar cells(PSCs), it is required to overcome the remaining challenges in device enlargement and operational stability. Here, we report an all-in-one strategy by integrating the oxidation of hole-transport material(HTM) with the formation of the passivation layer, which simultaneously solved the stability issues caused by HTM oxidation and realized the uniform defects in passivation over a large area. The resulting devices achieved a certified PCE of23.12% on average with an aperture area of 1.04 cm^(2) and are reproducible with high operational stability because of the exclusion of air exposure, hygroscopic Li-TFSI, and the lithium-based wastes, maintaining ca. 90% of their initial PCEs after operation at the maximum power point under continuous 1 sun illumination for 1,600 h. Our strategy simplifies the fabrication process of PSCs, which is compatible with commercial-scale methods, offering facile access to efficient and stable large-area PSCs. | Hongzhen Su Xuesong Lin Yanbo Wang Xiao Liu Zhenzhen Qin Qiwei Shi Qifeng Han Yiqiang Zhang Liyuan Han | 2022 | Science China Chemistry2022，65，7： | 0 |
| 12 | Development of Geological Science in China in the Twentieth Century显示文摘In the present stage of accelerated development of science and technology at the turn of the century it may be deemed that the geological science in China is destined to prosper, as viewed from the increasing society needs, the scientific problems and the basic technological background provided by the society, the three basic elements for the development of science. Owing to the sagacity and foresight of the founders of geology in China, Chinese geological research had already won a world fame in 1920s to 1930s. From the 1950s to 1970s the geological science in China had undergone a rapid development. From the end of 1970s onwards the geological science in China had undergone an overall development. With the acceptance of the new concept of Earth System Science by the majority of geologists, all branches of geological studies will merge into a comprehensive and coordinate research and the geological science in China will be facing an entirely new stage of development in the 21st century. | Wang Hongzhen Zhai Yusheng You Zhendong China University of Geosciences, Beijing 100083, China Shi Baoheng China National Petroleum Corporation, Beijing 100724, China Yang Weiran Yang Guangrong China University of Geosciences, Beijing 100083 | 2000 | Journal of Earth Science2000，19，3： | 0 |
| 13 | Contrastive learning for a single historical painting’s blind super-resolution显示文摘Most of the existing blind super-resolution(SR)methods explicitly estimate the kernel in pixel space,which usually has a large deviation and results in poor SR performance.As a seminal work,DASR learns abstract representations to distinguish various degradations in the feature space,which effectively reduces degradation estimation bias.Therefore,we also employ the feature space to extract degradation representations for an ancient painting.However,most of the blind SR mehods,including DASR,are committed to removing degradations introduced by kernels,downsampling and additive noise.Among them,downsampling degradation is often accompanied by unpleasant artifacts.To address this issue,the paper designs a high-resolution(HR)representation encoder EHR based on contrastive learning to distinguish artifacts introduced by downsampling.Moreover,to optimize the illposed nature of blind SR,we propose a contrastive regularization(CR)to minimize the contrastive loss based on VGG-19.With the help of CR,the SR images are pulled closer to the HR images and pushed far away from bicubic LR observations.Benefiting from these improvements,our method consistently achieves higher quantitative performance and better visual quality with more natural textures than state-of-the-art approaches on a specialized painting dataset.©2021 The Authors. | Hongzhen Shi Dan Xu Kangjian He Hao Zhang Yingying Yue | 2021 | Visual Informatics2021，5，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员