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| 1 | The First Discovery of a Large Sandstone-type Uranium Deposit in Aeolian Depositional Environment显示文摘The exploration depth of sandstone-type uranium deposits worldwide is mostly less than 700 m,and most of them occur in strata of fluvial facies(Adams et al.,1981;Jin et al.,2016;Hou et al.,2017).Only a few small uranium deposits have been reported in aeolian depositional environments(Isachsen et al.,1955;Li et al.,2001).In the Pcngyang Jingchuan region of the southwestern Ordos Basin,uranium ore bodies with large thickness and high grade in the aeolian sandstone of the Luohe Formation were newly found at depths from 700 to 1500 m,which have laid the foundation for increasing the uranium resources significantly in the Ordos Basin. | MIAO Peisen JIN Ruoshi LI Jianguo ZHAO Hualei CHEN Lulu CHEN Yin SI Qinghong | 2020 | Acta Geologica Sinica(English Edition)2020，94，2： | 12 |
| 2 | Suppressed expression of miR-378 targeting gzmb in N cells is required to control dengue virus infection显示文摘 | Shuyan Liu Lingming Chen Ying Zeng Lulu Si Xiaolan Guo Junmei Zhou Danyun Fang Gucheng Zeng Lifang Jiang | 2016 | Cellular & Molecular Immunology2016，13，5： | 7 |
| 3 | A common sense geographic knowledge base for GIR显示文摘As background knowledge of geographic information retrieval (GIR),the gazetteers have their limitations. In this paper we propose to develop and implement a com-mon sense geographic knowledge base (CSGKB) instead of the gazetteers. We define that CSGKB is concerned with the representation of geographic knowledge in human brain and the simulation of geographic reasoning in daily life. Traditional geographic information system (GIS) is based on the model of map with its data based on geographic coordinates and its computation based on geometry. However,CSGKB,which is made up of geographic features and relationships and is based on qualitative spatio-temporal reasoning,can be viewed as the direct model of geographic world. This paper also discusses the characters of CSGKB and pre-sents its structure which is composed of knowledge base,inference engine,geo-graphic ontology and learner. The applications using CSGKB include geographic information retrieval (GIR),natural language processing (NLP),named entity rec-ognition (NER),Semantic Web,etc. At present,our work focuses on the design of geographic ontology and the implementation of the CSGKB knowledge base. In this paper we describe the CSGKB ontology structure,top ontology,geographic loca-tion ontology,spatial relationship ontology,and domain ontologies. Finally,we in-troduce the current state of implementation of CSGKB and give an outlook on our future researches. | ZHANG Yi,GAO Yong,XUE LuLu,SHEN Si & CHEN KaiChen Institute of Remote Sensing and Geographic Information System,Peking University,Beijing 100871,China | 2008 | Science China(Technological Sciences)2008，51，S1： | 7 |
| 4 | The development of HIV vaccines targeting gp41 membrane-proximal external region (MPER): challenges and prospects显示文摘 | Huan Liu Xiaojie Su Lulu Si Lu Lu Shibo Jiang | 2018 | Protein & Cell2018，9，7： | 2 |
| 5 | Deblurring,artifact-free optical coherence tomography with deconvolution-random phase modulation显示文摘Deconvolution is a commonly employed technique for enhancing image quality in optical imaging methods.Unfortu-nately,its application in optical coherence tomography(OCT)is often hindered by sensitivity to noise,which leads to ad-ditive ringing artifacts.These artifacts considerably degrade the quality of deconvolved images,thereby limiting its effect-iveness in OCT imaging.In this study,we propose a framework that integrates numerical random phase masks into the deconvolution process,effectively eliminating these artifacts and enhancing image clarity.The optimized joint operation of an iterative Richardson-Lucy deconvolution and numerical synthesis of random phase masks(RPM),termed as De-conv-RPM,enables a 2.5-fold reduction in full width at half-maximum(FWHM).We demonstrate that the Deconv-RPM method significantly enhances image clarity,allowing for the discernment of previously unresolved cellular-level details in nonkeratinized epithelial cells ex vivo and moving blood cells in vivo. | Xin Ge Si Chen Kan Lin Guangming Ni En Bo Lulu Wang Linbo Liu | 2024 | Opto-Electronic Science2024，3，1： | 0 |
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