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| 1 | Petrogenesis of keratophyes in the Pingshui Group,Zhejiang:Constraints from zircon U-Pb ages and Hf isotopes显示文摘Zircon LA-ICP-MS U-Pb ages and Hf isotopic as well as whole-rock geochemical data are reported for keratophyes in the Pingshui Group, Zhejiang. The results are used to discuss their petrogenesis and geological significance. The keratophyes were dated at 904±8 to 906±10 Ma. These intermediate-felsic rocks are characterized by high LREE contents and depletion of HREE and HFSE (e.g., Nb, Ta, Ti, P), resembling arc-derived rocks. The keratophyes exhibit positive εHf(t) values of 8.6 to 15.4, consistent with their εNd(t) values of 6.4 to 7.9 but far away from those of crust-derived rocks. Such features indi-cate that they were likely originated from prompt reworking of juvenile crust by arc-continent collision during the early-Neoproterozoic assembly between the Cathaysia and Yangtze Blocks. Combining with their Hf model ages, we suggest that there may exist not only remarkable growth of juvenile crust at ca.1.3―1.1 Ga but also production of juvenile arc-derived crust along the southeastern margin of the Yangtze Block (e.g., the Pingshui area) at ca.1.0―0.9 Ga. | CHEN ZhiHong XING GuangFu GUO KunYi DONG YongGuan CHEN Rong ZENG Yong LI LongMing HE ZhengYu ZHAO Ling | 2009 | Chinese Science Bulletin2009，54，9： | 9 |
| 2 | First experimental constraints on WIMP couplings in the effective field theory framework from CDEX显示文摘We present weakly interacting massive particles(WIMPs) search results performed using two approaches of effective field theory from the China Dark Matter Experiment(CDEX), based on the data from both CDEX-1B and CDEX-10 stages. In the nonrelativistic effective field theory approach, both time-integrated and annual modulation analyses were used to set new limits for the coupling of WIMP-nucleon effective operators at 90% confidence level(C.L.) and improve over the current bounds in the low mχregion. In the chiral effective field theory approach, data from CDEX-10 were used to set an upper limit on WIMP-pion coupling at 90% C.L. We for the first time extended the limit to the m_(χ)<6 GeV/c^(2) region. | Yi Wang Zhi Zeng Qian Yue LiTao Yang KeJun Kang YuanJing Li Mehment Agartioglu HaiPeng An JianPing Chang JingHan Chen YunHua Chen JianPing Cheng Cheng Yi Chiang WenHan Dai Zhi Deng ChangHao Fang XinPing Geng Hui Gong QiuJu Guo XuYuan Guo HongJian He Li He ShengMing He JinWei Hu TuChen Huang HanXiong Huang HaiTao Jia LiPing Jia Xi Jiang HauBin Li JianMin Li Jin Li MingXuan Li RenMingJie Li Xia Li YuLan Li Bin Liao FongKay Lin ShinTed Lin ShuKui Liu YanDong Liu Yu Liu YuanYuan Liu ZhongZhi Liu Hao Ma YuCai Mao QiYuan Nie JinHua Ning Hui Pan NingChun Qi Jie Ren XiChao Ruan ChangSong Shang Vivek Sharma Ze She Lakhwinder Singh Monoj Kumar Singh TianXi Sun ChangJian Tang WeiYou Tang Yang Tian GuangFu Wang Li Wang Qing Wang Yu Chen Wang YunXiang Wang Zhen Wang Henry Tsz-King Wong ShiYong Wu YuCheng Wu HaoYang Xing Yin Xu Tao Xue YuLu Yan Nan Yi ChunXu Yu HaiJun Yu JianFeng Yue Ming Zeng BingTao Zhang Lei Zhang FengShou Zhang ZhenYu Zhang KangKang Zhao MingGang Zhao JiFang Zhou ZuYing Zhou JingJun Zhu | 2021 | Science China(Physics,Mechanics & Astronomy)2021，64，8： | 3 |
| 3 | Identification of Key Genes for the Ultrahigh Yield of Rice Using Dynamic Cross-tissue Network Analysis显示文摘Significantly increasing crop yield is a major and worldwide challenge for food supply and security.It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide.Yet,the gene regulatory mechanism underpinning this ultrahigh yield has been a mystery.Here,we systematically collected the transcriptome data for seven key tissues at different developmental stages using rice cultivated both at Taoyuan as the case group and at another regular rice planting place Jinghong as the control group.We identified the top 24 candidate high-yield genes with their network modules from these well-designed datasets by developing a novel computational systems biology method,i.e.,dynamic cross-tissue(DCT)network analysis.We used one of the candidate genes,Os SPL4,whose function was previously unknown,for gene editing experimental validation of the high yield,and confirmed that Os SPL4 significantly affects panicle branching and increases the rice yield.This study,which included extensive field phenotyping,cross-tissue systems biology analyses,and functional validation,uncovered the key genes and gene regulatory networks underpinning the ultrahigh yield of rice.The DCT method could be applied to other plant or animal systems if different phenotypes under various environments with the common genome sequences of the examined sample.DCT can be downloaded from http://gffzz188fe103f8f1460asnncbf6w5xqff66on.ffgz.tsg.suse.edu.cn/ztpub/DCT. | Jihong Hu Tao Zeng Qiongmei Xia Liyu Huang Yesheng Zhang Chuanchao Zhang Yan Zeng Hui Liu Shilai Zhang Guangfu Huang Wenting Wan Yi Ding Fengyi Hu Congdang Yang Luonan Chen Wen Wang | 2020 | Genomics, Proteomics & Bioinformatics2020，18，3： | 2 |
| 4 | Genetic variants of miRNA sequences and non-small cell lung cancer survival显示文摘 | Hu Zhibin Chen Jiaping Tian Tian Zhou Xiaoyi Gu Haiyong Xu Lin Zeng Yi Miao Ruifen Jin Guangfu Ma Hongxia Chen Yijiang Shen Hongbing | 2008 | Journal of Clinical Investigation2008，，7： | 1 |
| 5 | Effect of LB monolayers on the mixed crystals of lead and barium sulfate显示文摘 | Lu Lehui Wang Liying Zeng Guangfu | 2000 | Colloids and surfaces A Physicocheical and Engineering Aspects2000，175，： | 1 |
| 6 | Identification of A-to-I RNA editing profiles and their clinical relevance in lung adenocarcinoma显示文摘Adenosine-to-inosine(A-to-I)RNA editing is a widespread posttranscriptional modification that has been shown to play an important role in tumorigenesis.Here,we evaluated a total of 19,316 RNA editing sites in the tissues of 80 lung adenocarcinoma(LUAD)patients from our Nanjing Lung Cancer Cohort(NJLCC)and 486 LUAD patients from the TCGA database.The global RNA editing level was significantly increased in tumor tissues and was highly heterogeneous across patients.The high RNA editing level in tumors was attributed to both RNA(ADAR1 expression)and DNA alterations(mutation load).Consensus clustering on RNA editing sites revealed a new molecular subtype(EC3)that was associated with the poorest prognosis of LUAD patients.Importantly,the new classification was independent of classic molecular subtypes based on gene expression or DNA methylation.We further proposed a simplified model including eight RNA editing sites to accurately distinguish the EC3 subtype in our patients.The model was further validated in the TCGA dataset and had an area under the curve(AUC)of the receiver operating characteristic curve of 0.93(95%CI:0.91-0.95).In addition,we found that LUAD cell lines with the EC3 subtype were sensitive to four chemotherapy drugs.These findings highlighted the importance of RNA editing events in the tumorigenesis of LUAD and provided insight into the application of RNA editing in the molecular subtyping and clinical treatment of cancer. | Cheng Wang Mingtao Huang Congcong Chen Yuancheng Li Na Qin Zijian Ma Jingyi Fan Linnan Gong Hui Zeng Liu Yang Xianfeng Xu Jun Zhou Juncheng Dai Guangfu Jin Zhibin Hu Hongxia Ma Fengwei Tan Hongbing Shen | 2022 | Science China(Life Sciences)2022，65，1： | 1 |
| 7 | Genetic variants of miRNA sequences and non-small cell lung cancer survival显示文摘 | Hu Zhibin Chen Jiaping Tian Tian Zhou Xiaoyi Gu Haiyong Xu Lin Zeng Yi Miao Ruifen Jin Guangfu Ma Hongxia Chen Yijiang Shen Hongbing | 2008 | Journal of Clinical Investigation2008，，7： | 1 |
| 8 | This work is licensed under a Creative Commons Attribution 4.0 International License,which permits unrestricted use,distribution,and reproduction in any medium,provided the original work is properly cited.A Real Time Vision-Based Smoking Detection Framework on Edge显示文摘Smoking is the main reason for fire disaster and pollution in petrol station,construction site and warehouse.Existing solutions based on wearable devices and smoking sensors were costly and hard to obtain evidence of smoking in unmanned scenarios.With the developments of closed circuit television(CCTV)system,vision-based methods for object detection,mostly driven by deep learning techniques,were introduced recently.However,the massive GPU computing hardware required by the deep learning algorithm made these methods hard to be deployed.This paper aims at solving the smoking detection problem on edge and proposes the solution that has fast detection speed,high accuracy on micro-objects and low computing budget,i.e.,it could be deployed on the edge device such as NVIDIA JETSON TX2.We designed a new framework named RTVBS based on yolov3 and made a smoking dataset to train our model.We raised several methods to improve detection accuracy during the training step.The validation results show our model has excellent performance in smoking detection. | Ruilong Chen Guangfu Zeng Ke Wang Lei Luo Zhiping Cai | 2020 | Journal on Internet of Things2020，2，2： | 0 |
| 9 | Performances of a prototype point-contact germanium detector immersed in liquid nitrogen for light dark matter search显示文摘The CDEX-10 experiment searches for light weakly interacting massive particles, a form of dark matter, at the China Jinping Underground Laboratory, where approximately 10 kg of germanium detectors are arranged in an array and immersed in liquid nitrogen. Herein, we report on the experimental apparatus, detector characterization, and spectrum analysis of one prototype detector. Owing to the higher rise-time resolution of the CDEX-10 prototype detector as compared with CDEX-1 B, we identified the origin of an observed category of extremely fast events. For data analysis of the CDEX-10 prototype detector, we introduced and applied an improved bulk/surface event discrimination method. The results of the new method were compared to those of the CDEX-1 B spectrum. Both sets of results showed good consistency in the 0-12 ke Vee energy range, except for the 8.0 keV K-shell X-ray peak from the external copper. | Hao Jiang LiTao Yang Qian Yue KeJun Kang JianPing Cheng YuanJing Li Henry Tsz-King Wong M.A?artio?lu HaiPeng An JianPing Chang JingHan Chen YunHua Chen Zhi Deng Qiang Du Hui Gong Li He Jin Wei Hu QingDong Hu HanXiong Huang LiPing Jia HauBin Li Hong Li Jian Min Li Jin Li Xia Li XueQian Li YuLan Li Bin Liao FongKay Lin ShinTed Lin ShuKui Liu YanDong Liu YuanYuan Liu ZhongZhi Liu Hao Ma JingLu Ma Hui Pan Jie Ren XiChao Ruan B.Sevda Vivek Sharma ManBin Shen Lakhwinder Singh Monoj Kumar Singh TianXi Sun ChangJian Tang WeiYou Tang Yang Tian GuangFu Wang JiMin Wang Li Wang Qing Wang Yi Wang ShiYong Wu YuCheng Wu HaoYang Xing Yin Xu Tao Xue SongWei Yang Nan Yi ChunXu Yu HaiJun Yu JianFeng Yue XiongHui Zeng Ming Zeng Zhi Zeng FengShou Zhang YunHua Zhang MingGang Zhao JiFang Zhou ZuYing Zhou JingJun Zhu ZhongHua Zhu | 2019 | Science China(Physics,Mechanics & Astronomy)2019，62，3： | 0 |
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