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| 1 | Rock Mass Characteristics in Beishan,A Preselected Area for China's High-Level Radioactive Waste Disposal显示文摘Geological and hydrological characteristics, joint geometric features, rock physical and mechanical properties and rock mass quality are studied in the Beishan area, preselected for China5 s high-level radioactive waste(HLW) disposal engineering. A comprehensive survey method is developed to study joint geometric features in the outcrop and samples from borehole BS06 into the Xinchang rock mass were tested. The optimal joint sets are determined by rose diagrams and equal-area lower hemisphere plots of joint poles. Results show that: 1) the distribution of joint occurrence obeys a normal distribution, while the distribution of joint spacing obeys a negative exponential distribution; 2) concentric circular and tangent circular sampling windows are applied to study the trace length and the trace midpoint density. Results indicate that tangent circular sampling window is more stable and reasonable; 3) Beishan granite shows high density, low porosity and high strength based on many laboratory tests and the physical properties and mechanical properties are closely related; and4) a synthesis index, Joint Structure Rating(JSR), is applied to evaluate the quality of rock mass. Through the research results of rock mass characteristics, the Xinchang rock mass in the Beishan preselected area has the favorable conditions for China's HLW disposal repository site. | WEI Xiang GUO Ying CHENG Hanlie MENG Xiangdong CHENG Mingqian YANG Ting XU Chunmei | 2019 | Acta Geologica Sinica(English Edition)2019，93，2： | 2 |
| 2 | Clay mineralogy and its palaeoclimatic significance in the Luochuan Ioess-palaeosols over -1.3 Ma, Shaanxi, northwestern China显示文摘 | Changdok WON Hanlie HONG Feng CHENG Qian FANG Chaowen WANG Lulu ZHAO Gordon Jock CHURCHMAN | 2018 | Frontiers of Earth Science2018，12，1： | 2 |
| 3 | Estimation of Fracture Geometry Parameters and Characterization of Rock Mass Structure for the Beishan Area,China显示文摘The accurate estimation of fracture geometry parameters and the characterization of rock mass structure are two important topics in the geological disposal system of high-level radioactive waste(HLW).The Beishan area,as the current preselected area for China’s HLW disposal,has three subareas considered to be the key survey area at the stage of site selection.In this paper,a comprehensive survey method conducted on the outcrop is developed to estimate fracture geometry parameters.Results show that fracture occurrence obeys a Fisher distribution,fracture trace length obeys a normal distribution,and the distribution of spacing obeys a negative exponential distribution.An evaluation index,Rock Mass Structure Rating(RMSR),is proposed to characterize rock mass structure for the three subareas.The results show that the Xinchang area is more suitable to act as China’s HLW disposal repository site.At the same time,the index can also be applied to characterize surface rock mass structure and rock mass integrity at the site selection phase of HLW disposal. | WEI Xiang GUO Ying CHENG Hanlie WEI Jianfei ZHANG Linlin HUO Liang HOU Zhenkun | 2020 | Acta Geologica Sinica(English Edition)2020，94，5： | 1 |
| 4 | STING signaling in islet macrophages impairs insulin secretion in obesity显示文摘The innate immune regulator stimulator of interferon genes(STING)mediates self-DNA sensing and leads to the induction of type I interferons and inflammatory cytokines,which promotes the progression of various inflammatory and autoimmune diseases.Innate immune system plays a critical role in regulating obesity-induced islet dysfunction,whereas the potential effect of STING signaling is not fully understood.Here,we demonstrate that STING is mainly expressed and activated in islet macrophages upon high-fat diet(HFD)feeding.Sting^(-/-)alleviates HFD-induced islet inflammation by inhibiting the expression of pro-inflammatory cytokines and the infiltration of macrophages.Mechanically,palmitic acid incubation promotes mitochondrial DNA leakage into the cytosol and subsequently activates STING pathway in macrophages.Additionally,STING activation in macrophages impairs glucose-stimulated insulin secretion by mediating the engulfment ofβcell insulin secretory granules.Pharmacologically inhibiting STING activation enhances insulin secretion to control hyperglycemia.Together,our results reveal a regulatory mechanism in controlling the islet inflammation and insulin secretion in dietinduced obesity and suggest that selective blocking of the STING activation may be a promising strategy for treating type 2 diabetes. | Ze Hong Saihua Chen Jing Sun Dan Cheng Hanli Guo Jiahao Mei Xiang Zhang Munire Maimaiti Haiping Hao Peng Cao Haiyang Hu Chen Wang | 2024 | Science China(Life Sciences)2024，67，2： | 0 |
| 5 | Extensive sequence divergence between the reference genomes of Taraxacum kok-saghyz and Taraxacum mongolicum显示文摘Plants belonging to the genus Taraxacum are widespread all over the world,which contain rubber-producing and non-rubberproducing species.However,the genomic basis underlying natural rubber(NR)biosynthesis still needs more investigation.Here,we presented high-quality genome assemblies of rubber-producing T.kok-saghyz TK1151 and non-rubber-producing T.mongolicum TM5.Comparative analyses uncovered a large number of genetic variations,including inversions,translocations,presence/absence variations,as well as considerable protein divergences between the two species.Two gene duplication events were found in these two Taraxacum species,including one common ancestral whole-genome triplication and one subsequent round of gene amplification.In genomes of both TK1151 and TM5,we identified the genes encoding for each step in the NR biosynthesis pathway and found that the SRPP and CPT gene families have experienced a more obvious expansion in TK1151 compared to TM5.This study will have large-ranging implications for the mechanism of NR biosynthesis and genetic improvement of NR-producing crops. | Tao Lin Xia Xu Huilong Du Xiuli Fan Qingwen Chen Chunyan Hai Zijian Zhou Xiao Su Liquan Kou Qiang Gao Lingwei Deng Jinsheng Jiang Hanli You Yihua Ma Zhukuan Cheng Guodong Wang Chengzhi Liang Guomin Zhang Hong Yu Jiayang Li | 2022 | Science China(Life Sciences)2022，65，3： | 0 |
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