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| 1 | Clinical efficacy of 0.1% pranoprofen in treatment of dry eye patients:a multicenter, randomized, controlled clinical trial显示文摘 | Chen Jingyao Dong Fei Chen Wei Sun Xuguang Deng Yingping Hong Jing Zhang Mingchang Yang Wenzhao Liu Zuguo Xie Lixin | 2014 | Chinese Medical Journal2014，，13： | 18 |
| 2 | Insight-HXMT observations of the first binary neutron star merger GW170817显示文摘Finding the electromagnetic(EM) counterpart of binary compact star merger, especially the binary neutron star(BNS) merger,is critically important for gravitational wave(GW) astronomy, cosmology and fundamental physics. On Aug. 17, 2017,Advanced LIGO and Fermi/GBM independently triggered the first BNS merger, GW170817, and its high energy EM counterpart,GRB 170817 A, respectively, resulting in a global observation campaign covering gamma-ray, X-ray, UV, optical, IR, radio as well as neutrinos. The High Energy X-ray telescope(HE) onboard Insight-HXMT(Hard X-ray Modulation Telescope) is the unique high-energy gamma-ray telescope that monitored the entire GW localization area and especially the optical counterpart(SSS17 a/AT2017 gfo) with very large collection area(~1000 cm^2) and microsecond time resolution in 0.2-5 MeV. In addition,Insight-HXMT quickly implemented a Target of Opportunity(ToO) observation to scan the GW localization area for potential X-ray emission from the GW source. Although Insight-HXMT did not detect any significant high energy(0.2-5 MeV) radiation from GW170817, its observation helped to confirm the unexpected weak and soft nature of GRB 170817 A. Meanwhile,Insight-HXMT/HE provides one of the most stringent constraints(~10^(-7) to 10^(-6) erg/cm^2/s) for both GRB170817 A and any other possible precursor or extended emissions in 0.2-5 MeV, which help us to better understand the properties of EM radiation from this BNS merger. Therefore the observation of Insight-HXMT constitutes an important chapter in the full context of multi-wavelength and multi-messenger observation of this historical GW event. | TiPei Li ShaoLin Xiong ShuangNan Zhang FangJun Lu LiMing Song XueLei Cao Zhi Chang Gang Chen Li Chen TianXiang Chen Yong Chen YiBao Chen YuPeng Chen Wei Cui WeiWei Cui JingKang Deng YongWei Dong YuanYuan Du MinXue Fu GuanHua Gao He Gao Min Gao MingYu Ge YuDong Gu Ju Guan ChengCheng Guo DaWei Han Wei Hu Yue Huang Jia Huo ShuMei Jia LuHua Jiang WeiChun Jiang Jing Jin YongJie Jin Bing Li ChengKui Li Gang Li MaoShun Li Wei Li Xian Li XiaoBo Li XuFang Li YanGuo Li ZiJian Li ZhengWei Li XiaoHua Liang JinYuan Liao CongZhan Liu GuoQing Liu HongWei Liu ShaoZhen Liu XiaoJing Liu Yuan Liu YiNong Liu Bo Lu XueFeng Lu Tao Luo Xiang Ma Bin Meng Yi Nang JianYin Nie Ge OU JinLu Qu Na Sai Liang Sun Yin Tan Lian Tao WenHui Tao YouLi Tuo GuoFeng Wang HuanYu Wang Juan Wang WenShuai Wang YuSa Wang XiangYang Wen BoBing WU Mei Wu GuangCheng Xiao He Xu YuPeng Xu LinLi Yan JiaWei Yang Sheng Yang YanJi Yang AiMei Zhang ChunLei Zhang ChengMo Zhang Fan Zhang HongMei Zhang Juan Zhang Qiang Zhang Shu Zhang Tong Zhang Wei Zhang WanChang Zhang WenZhao Zhang Yi Zhang Yue Zhang YiFei Zhang YongJie Zhang Zhao Zhang ZiLiang Zhang HaiSheng Zhao JianLing Zhao XiaoFan Zhao ShiJie Zheng Yue Zhu YuXuan Zhu ChangLin Zou | 2018 | Science China(Physics,Mechanics & Astronomy)2018，61，3： | 12 |
| 3 | Identification of miRNomes in Human Liver and Hepatocellular Carcinoma Reveals miR-199a/b-3p as Therapeutic Target for Hepatocellular Carcinoma显示文摘 | Jin Hou Li Lin Weiping Zhou Zhengxin Wang Guoshan Ding Qiongzhu Dong Lunxiu Qin Xiaobing Wu Yuanyuan Zheng Yun Yang Wei Tian Qian Zhang Chunmei Wang Qinghua Zhang Shi-Mei Zhuang Limin Zheng Anmin Liang Wenzhao Tao Xuetao Cao | 2011 | Cancer Cell2011，，2： | 3 |
| 4 | Application of machine learning in predicting the rate-dependent compressive strength of rocks显示文摘Accurate prediction of compressive strength of rocks relies on the rate-dependent behaviors of rocks, and correlation among the geometrical, physical, and mechanical properties of rocks. However, these properties may not be easy to control in laboratory experiments, particularly in dynamic compression experiments. By training three machine learning models based on the support vector machine(SVM), backpropagation neural network(BPNN), and random forest(RF) algorithms, we isolated different input parameters, such as static compressive strength, P-wave velocity, specimen dimension, grain size, bulk density, and strain rate, to identify their importance in the strength prediction. Our results demonstrated that the RF algorithm shows a better performance than the other two algorithms. The strain rate is a key input parameter influencing the performance of these models, while the others(e.g. static compressive strength and P-wave velocity) are less important as their roles can be compensated by alternative parameters. The results also revealed that the effect of specimen dimension on the rock strength can be overshadowed at high strain rates, while the effect on the dynamic increase factor(i.e. the ratio of dynamic to static compressive strength) becomes significant. The dynamic increase factors for different specimen dimensions bifurcate when the strain rate reaches a relatively high value, a clue to improve our understanding of the transitional behaviors of rocks from low to high strain rates. | Mingdong Wei Wenzhao Meng Feng Dai Wei Wu | 2022 | Journal of Rock Mechanics and Geotechnical Engineering2022，14，5： | 2 |
| 5 | Overview to the Hard X-ray Modulation Telescope (Insight-HXMT) Satellite显示文摘As China’s first X-ray astronomical satellite, the Hard X-ray Modulation Telescope (HXMT), which was dubbed as Insight-HXMT after the launch on June 15, 2017, is a wide-band(1-250 ke V) slat-collimator-based X-ray astronomy satellite with the capability of all-sky monitoring in 0.2-3 Me V. It was designed to perform pointing, scanning and gamma-ray burst(GRB)observations and, based on the Direct Demodulation Method (DDM), the image of the scanned sky region can be reconstructed.Here we give an overview of the mission and its progresses, including payload, core sciences, ground calibration/facility, ground segment, data archive, software, in-orbit performance, calibration, background model, observations and some preliminary results. | Shuang-Nan Zhang TiPei Li FangJun Lu LiMing Song YuPeng X u CongZhan Liu Yong Chen XueLei Cao QingCui Bu Zhi Chang Gang Chen Li Chen TianXiang Chen YiBao Chen YuPeng Chen Wei Cui WeiWei Cui JingKang Deng YongWei Dong Yuan Yuan Du MinXue Fu GuanHua Gao He Gao Min Gao MingYu Ge YuDong Gu Ju Guan Can Gungor ChengCheng Guo DaWei Han Wei Hu Yue Huang Jia Huo ShuMei Jia LuHua Jiang WeiChun Jiang Jing Jin YongJie Jin Bing Li ChengKui Li Gang Li MaoShun Li Wei Li Xian Li XiaoBo Li XuFang Li YanGuo Li ZiJian Li ZhengWei Li XiaoHua Liang JinYuan Liao GuoQing Liu HongWei Liu ShaoZhen Liu XiaoJing Liu Yuan Liu YiNong Liu Bo Lu XueFeng Lu Tao Luo Xiang Ma Bin Meng Yi Nang JianYin Nie Ge Ou JinLu Qu Na Sai RenCheng Shang GuoHong Shen Liang Sun Ying Tan Lian Tao YouLi Tuo Chen Wang ChunQin Wang GuoFeng Wang HuanYu Wang Juan Wang WenShuai Wang YuSa Wang XiangYang Wen BaiYang Wu BoBing Wu Mei Wu GuangCheng Xiao ShaoLin Xiong LinLi Yan JiaWei Yang Sheng Yang YanJi Yang QiBin Yi Bin Yuan AiMei Zhang ChunLei Zhang ChengMo Zhang Fan Zhang HongMei Zhang Juan Zhang Qiang Zhang ShenYi Zhangs Shu Zhang Tong Zhang WanChang Zhang Wei Zhang WenZhao Zhang Yi Zhang YiFei Zhang YongJie Zhang Yue Zhang Zhao Zhang Zhi Zhang ZiLiang Zhang HaiSheng Zhao XiaoFan Zhao ShiJie Zheng JianFeng Zhou YuXuan Zhu Yue Zhu RenLin Zhuang | 2020 | Science China(Physics,Mechanics & Astronomy)2020，63，4： | 2 |
| 6 | Two Ultraviolet Radiation Datasets that Cover China显示文摘Ultraviolet(UV) radiation has significant effects on ecosystems, environments, and human health, as well as atmospheric processes and climate change. Two ultraviolet radiation datasets are described in this paper. One contains hourly observations of UV radiation measured at 40 Chinese Ecosystem Research Network stations from 2005 to 2015. CUV3 broadband radiometers were used to observe the UV radiation, with an accuracy of 5%, which meets the World Meteorology Organization's measurement standards. The extremum method was used to control the quality of the measured datasets. The other dataset contains daily cumulative UV radiation estimates that were calculated using an all-sky estimation model combined with a hybrid model. The reconstructed daily UV radiation data span from 1961 to 2014. The mean absolute bias error and root-mean-square error are smaller than 30% at most stations, and most of the mean bias error values are negative, which indicates underestimation of the UV radiation intensity. These datasets can improve our basic knowledge of the spatial and temporal variations in UV radiation. Additionally, these datasets can be used in studies of potential ozone formation and atmospheric oxidation, as well as simulations of ecological processes. | Hui LIU Bo HU Yuesi WANG Guangren LIU Liqin TANG Dongsheng JI Yongfei BAI Weikai BAO Xin CHEN Yunming CHEN Weixin DING Xiaozeng HAN Fei HE Hui HUANG Zhenying HUANG Xinrong LI Yan LI Wenzhao LIU Luxiang LIN Zhu OUYANG Boqiang QIN Weijun SHEN Yanjun SHEN Hongxin SU Changchun SONG Bo SUN Song SUN Anzhi WANG Genxu WANG Huimin WANG Silong WANG Youshao WANG Wenxue WEI Ping XIE Zongqiang XIE Xiaoyuan YAN Fanjiang ZENG Fawei ZHANG Yangjian ZHANG Yiping ZHANG Chengyi ZHAO Wenzhi ZHAO Xueyong ZHAO Guoyi ZHOU Bo ZHU | 2017 | Advances in Atmospheric Sciences2017，34，7： | 2 |
| 7 | Identification of miRNomes in Human Liver and Hepatocellular Carcinoma Reveals miR-199a/b-3p as Therapeutic Target for Hepatocellular Carcinoma显示文摘 | Jin Hou Li Lin Weiping Zhou Zhengxin Wang Guoshan Ding Qiongzhu Dong Lunxiu Qin Xiaobing Wu Yuanyuan Zheng Yun Yang Wei Tian Qian Zhang Chunmei Wang Qinghua Zhang Shi-Mei Zhuang Limin Zheng Anmin Liang Wenzhao Tao Xuetao Cao | 2011 | Cancer Cell2011，，2： | 1 |
| 8 | Reactive Modification of Poly(ethylene terephthalate) and its Foaming Behavior显示文摘 | Liu Haiming Wang Xiangdong Liu Wei Liu Bengang Zhou Hongfu Wang Wenzhao | 2014 | Cellular Polymers2014，，： | 1 |
| 9 | Impact of Stable Protein-protein Interaction on Protein Conformational Space显示文摘 | LI Wenzhao MENG Wei TIAN Pu | 2015 | Chemical Research in Chinese Universities2015，31，1： | 1 |
| 10 | Construction and heterologous expression of the di-AFN A_(1) biosynthetic gene cluster in Streptomyces model strains显示文摘Natural cyclohexapeptide AFN A_(1) from Streptomyces alboflavus 313 has moderate antibacterial and antitumor activities.An artificial designed AFN A_(1) homodimer,di-AFN A_(1),is an antibiotic exhibiting 10 to 150 fold higher biological activities,compared with the monomer.Unfortunately,the yield of di-AFN A_(1) is very low(0.09±0.03 mg·L^(−1))in the engineered strain Streptomyces alboflavus 313_hmtS(S.albo/313_hmtS),which is not friendly to be genetically engineered for titer improvement of di-AFN A_(1) production.In this study,we constructed a biosynthetic gene cluster for di-AFN A_(1) and increased its production through heterologous expression.During the collection of di-AFN A_(1) biosynthetic genes,the afn genes were located at three sites of S.alboflavus 313 genome.The di-AFN A_(1) biosynthetic gene cluster(BGC)was first assembled on one plasmid and introduced into the model strain Streptomyces lividans TK24,which produced di-AFN A_(1) at a titer of 0.43±0.01 mg·L^(−1).To further increase the yield of di-AFN A_(1),the di-AFN A_(1) BGC was multiplied and split to mimic the natural afn biosynthetic genes,and the production of di-AFN A_(1) increased to 0.62±0.11 mg·L^(−1) in S.lividans TK24 by the later strategy.Finally,different Streptomyces hosts were tested and the titer of di-AFN A_(1) increased to 0.81±0.17 mg·L^(−1),about 8.0-fold higher than that in S.albo/313_hmtS.Successful heterologous expression of di-AFN A_(1) with a remarkable increased titer will greatly facilitate the following synthetic biological study and drug development of this dimeric cyclohexapeptide. | WEI Weijia WANG Wenzhao LI Chao TANG Yue GUO Zhengyan CHEN Yihua | 2022 | Chinese Journal of Natural Medicines2022，20，11： | 0 |
| 11 | Phenomic Imaging显示文摘Human phenomics is defned as the comprehensive collection of observable phenotypes and characteristics infuenced by a complex interplay among factors at multiple scales.These factors include genes,epigenetics at the microscopic level,organs,microbiome at the mesoscopic level,and diet and environmental exposures at the macroscopic level.“Phenomic imaging”utilizes various imaging techniques to visualize and measure anatomical structures,biological functions,metabolic processes,and biochemical activities across diferent scales,both in vivo and ex vivo.Unlike conventional medical imaging focused on disease diagnosis,phenomic imaging captures both normal and abnormal traits,facilitating detailed correlations between macro-and micro-phenotypes.This approach plays a crucial role in deciphering phenomes.This review provides an overview of diferent phenomic imaging modalities and their applications in human phenomics.Additionally,it explores the associations between phenomic imaging and other omics disciplines,including genomics,transcriptomics,proteomics,immunomics,and metabolomics.By integrating phenomic imaging with other omics data,such as genomics and metabolomics,a comprehensive understanding of biological systems can be achieved.This integration paves the way for the development of new therapeutic approaches and diagnostic tools. | Lizhen Lan Kai Feng Yudan Wu Wenbo Zhang Ling Wei Huiting Che Le Xue Yidan Gao Ji Tao Shufang Qian Wenzhao Cao Jun Zhang Chengyan Wang Mei Tian | 2023 | Phenomics2023，3，6： | 0 |
| 12 | Bioimaging of Dissolvable Microneedle Arrays: Challenges and Opportunities显示文摘The emergence of microneedle arrays(MNAs)as a novel,simple,and minimally invasive administration approach largely addresses the challenges of traditional drug delivery.In particular,the dissolvable MNAs act as a promising,multifarious,and well-controlled platform for micro-nanotransport in medical research and cosmetic formulation applications.The effective delivery mostly depends on the behavior of the MNAs penetrated into the body,and accurate assessment is urgently needed.Advanced imaging technologies offer high sensitivity and resolution visualization of cross-scale,multidimensional,and multiparameter information,which can be used as an important aid for the evaluation and development of new MNAs.The combination of MNA technology and imaging can generate considerable new knowledge in a cost-effective manner with regards to the pharmacokinetics and bioavailability of active substances for the treatment of various diseases.In addition,noninvasive imaging techniques allow rapid,receptive assessment of transdermal penetration and drug deposition in various tissues,which could greatly facilitate the translation of experimental MNAs into clinical application.Relying on the recent promising development of bioimaging,this review is aimed at summarizing the current status,challenges,and future perspective on in vivo assessment of MNA drug delivery by various imaging technologies. | Yanni Wang Gehua Ma Guangzhi Gao Ji Tao Wenzhao Cao Haohao Sun Fengsen Ma Yilong Zhang Yen Wei Mei Tian | 2022 | Research2022，，4： | 0 |
| 13 | Sudden Cardiac Death and Cardiac Sodium Channel Diseases显示文摘Sudden cardiac death(SCD),accounting for a substantial part of the forensic autopsy,is a leading cause of mortality worldwide.Lethal arrhythmia due to sodium channel diseases is recognized as one of the most prevalent etiologies of SCD.In these disorders,defective cardiomyocytes,including the pacemaker and the working cardiomyocytes,would manifest as abnormal electrical activity and morphology,thereby predisposing individuals to SCD.It is always a problem for forensic pathologists to adjudicate a sudden death caused by sodium channel diseases since structural changes in those cases are often inconspicuous.With the advent of the molecular autopsy,forensic pathologists can conduct targeted gene testing to identify the risk of SCD for family members of the probands.This review aims to discuss the relationship between SCD and sodium channel diseases,clarify the underlying mechanisms,and provide prophylactic suggestions for the relatives of SCD patients at risk. | Wenzhao Wei Ying Fang Nan Zhou Qiuping Wu Qianhao Zhao Jianding Cheng | 2022 | Journal of Forensic Science and Medicine2022，8，4： | 0 |
| 14 | The earlier,the better?A review of neoadjuvant immunotherapy in resectable non-small-cell lung cancer显示文摘Immune checkpoint inhibitors(ICIs)have revolutionized the approach to advanced and locally advanced non-small-cell lung cancer(NSCLC).Antibodies blocking inhibitory immune checkpoints,such as programmed death 1(PD-1)and its ligand(PD-L1),have remarkable antitumor efficacy and have been approved as a standard first-or second-line treatment in non-oncogene-addicted advanced NSCLC.The successful application of immunotherapy in advanced lung cancer has motivated researchers to further evaluate its clinical role as a neoadjuvant setting for resectable NSCLC and for improved long-term overall survival and curative rates.In this review,we discuss the efforts that incorporate ICIs into the treatment paradigm for surgically resectable lung cancer.We reviewed the early-phase results from neoadjuvant clinical trials,the landscape of the majority of ongoing phase III trials,and discuss the prospects of ICIs as a curative therapy for resectable lung cancer.We also summarized the potential biomarkers and beneficiaries involved in the current study,as well as the remaining unresolved challenges for neoadjuvant immunotherapy. | Fajiu Li Ying Chen Juanjuan Wu Chenghong Li Shi Chen Ziyang Zhu Wei Qin Min Liu Bingzhu Hu Shuang Liu Wenzhao Zhong | 2022 | Chronic Diseases and Translational Medicine2022，8，2： | 0 |
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