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| 1 | A 5D simulation method on post-earthquake repair process of buildings based on BIM显示文摘The post-earthquake repair process of buildings is one of the key components of building seismic resilience.Understanding the details of the repair process in advance will benefit the evaluation and decision making for the seismic resilience of buildings.To this end,a five-dimensional(5 D)simulation method on the post-earthquake repair process of buildings is proposed based on building information modeling(BIM),by which the repair activities can be presented in the way associated with a 3 D model,time(denoted as the fourth dimension),and the related costs(denoted as the fifth dimension).First,a decision-making model of repair schemes based on the interval index of the possibility degree is created to determine the optimal post-earthquake repair schemes for a damaged building.Subsequently,an algorithm based on separate flowrepetitive process is designed to automatically make the repair schedule on a BIM platform according to the determined repair schemes.Finally,an algorithm of automatic mapping between the components in BIM and their repair schedules is developed,so that a 5 D simulation of a post-earthquake repair process can be implemented.A six-story office building is selected as a case study,and the details of the post-earthquake repair process(e.g.,the costs of labor,material and equipment over the repair time)are presented by the proposed 5 D simulation method.The outcome of this study can be used to evaluate the seismic resilience of buildings and also to facilitate the decision making for seismically resilient buildings by providing the detailed guidance of the repair process. | Xu Zhen Zhang Furong Jin Wei Wu Yingying Qi Mingzhu Yang Yajun | 2020 | Earthquake Engineering and Engineering Vibration2020，19，3： | 4 |
| 2 | Theoretical studies of proton capture reactions in A~25 proton-rich nuclei显示文摘The direct proton capture and resonance proton capture properties of stellar reactions 22Mg(p,γ)23Al and 26Si(p,γ)27P are studied by employing a mean-field potential obtained from the Skyrme-Hartree-Fock(SHF) model.Calculations with the SHF potential reproduce well the loosely-bound structure of the ground states as well as the widths of the resonant states in these nuclei.With the obtained potential we estimate the reaction rates of direct proton capture and resonance proton capture to nuclei 23Al and 27P.The effect of the 27P loosely-bound structure on the S factor of the direct proton capture is also discussed. | QI Chong DU RenZhong GAO Yang ZHU JianYu XU FuRong | 2009 | Science China(Physics,Mechanics & Astronomy)2009，52，10： | 4 |
| 3 | Identification of an H6N6 swine influenza virus in southern China显示文摘 | Guihong Zhang Weili Kong Wenbao Qi Li-Ping Long Zongxi Cao Liangzong Huang Haitao Qi Nan Cao Wenhua Wang Furong Zhao Zhangyong Ning Ming Liao Xiu-Feng Wan | 2011 | Infection Genetics and Evolution2011，，5： | 1 |
| 4 | An integrated spectroscopic strategy to trace the geographical origins of emblic medicines: Application for the quality assessment of natural medicines显示文摘Emblic medicine is a popular natural source in the world due to its outstanding healthcare and therapeutic functions.Our preliminary results indicated that the quality of emblic medicines might have an apparent regional variation.A rapid and effective geographical traceability system has not been designed yet.To trace the geographical origins so that their quality can be controlled,an integrated spectroscopic strategy including spectral pretreatment,outlier diagnosis,feature selection,data fusion,and machine learning algorithm was proposed.A featured data matrix(245220)was successfully generated,and a carefully adjusted RF machine learning algorithm was utilized to develop the geographical traceability model.The results demonstrate that the proposed strategy is effective and can be generalized.Sensitivity(SEN),specificity(SPE)and accuracy(ACC)of 97.65%,99.85%and 97.63%for the calibrated set,as well as 100.00%predictive efficiency,were obtained using this spectroscopic analysis strategy.Our study has created an integrated analysis process for multiple spectral data,which can achieve a rapid,nondestructive and green quality detection for emblic medicines originating from seventeen geographical origins. | Luming Qi Furong Zhong Yang Chen Shengnan Mao Zhuyun Yan Yuntong Ma | 2020 | Journal of Pharmaceutical Analysis2020，10，4： | 1 |
| 5 | Recovery of metals from waste printed circuit boards by supercritical water pre- treatment combined with acid leaching process 显示文摘 | Xiu Furong Qi Yingying Zhang Fushen | 2013 | Waste Management2013，33，5： | 1 |
| 6 | Multiomics approach reveals the ubiquitination-specific processes hijacked by SARS-CoV-2显示文摘The Coronavirus Disease 2019(COVID-19)caused by Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2)is a global pandemic that seriously threatens health and socioeconomic development,but the existed antiviral drugs and vaccines still cannot yet halt the spread of the epidemic.Therefore,a comprehensive and profound understanding of the pathogenesis of SARS-CoV-2 is urgently needed to explore effective therapeutic targets.Here,we conducted a multiomics study of SARS-CoV-2-infected lung epithelial cells,including transcriptomic,proteomic,and ubiquitinomic.Multiomics analysis showed that SARS-CoV-2-infected lung epithelial cells activated strong innate immune response,including interferon and inflammatory responses.Ubiquitinomic further reveals the underlying mechanism of SARS-CoV-2 disrupting the host innate immune response.In addition,SARS-CoV-2 proteins were found to be ubiquitinated during infection despite the fact that SARS-CoV-2 itself didn’t code any E3 ligase,and that ubiquitination at three sites on the Spike protein could significantly enhance viral infection.Further screening of the E3 ubiquitin ligases and deubiquitinating enzymes(DUBs)library revealed four E3 ligases influencing SARS-CoV-2 infection,thus providing several new antiviral targets.This multiomics combined with high-throughput screening study reveals that SARS-CoV-2 not only modulates innate immunity,but also promotes viral infection,by hijacking ubiquitination-specific processes,highlighting potential antiviral and anti-inflammation targets. | Gang Xu Yezi Wu Tongyang Xiao Furong Qi Lujie Fan Shengyuan Zhang Jian Zhou Yanhua He Xiang Gao Hongxiang Zeng Yunfei Li Zheng Zhang | 2022 | Signal Transduction and Targeted Therapy2022，7，10： | 1 |
| 7 | 植物生长调节剂通过克隆整合对空心莲子草顶端和基部生长的不同作用显示文摘入侵植物不仅对全球生物多样性造成了巨大的威胁,同时也严重影响了农业生产与粮食安全。克隆整合使得相连植株进行资源共享,能促进入侵植物的生长从而获得优势。然而,入侵杂草在植物调节剂(plant growth regulators,PGRs)影响下的克隆整合作用则很少有报道。PGRs被广泛应用于农作物生产上,并能通过土壤淋溶、侵蚀和径流作用,影响分布在作物附近的农田杂草的生长。本研究采用两种PGRs赤霉素(gibberellins,GA)和多效唑(paclobutrazol,PAC)处理恶性入侵杂草空心莲子草(Alternanthera philoxeroides)基端,并保持或者通过剪切达到控制基端与顶端的连通,从而探究克隆整合作用在空心莲子草响应两种农业常用PGRs中的作用。研究结果表明,GA和PAC对空心莲子草生长的作用相反。GA通过克隆整合作用显著促进顶端植株的地上生长。相反地,PAC显著抑制基端和顶端的地上生长,但是能够通过克隆整合作用显著促进基端和顶端的地下生长。这些研究结果解释了克隆整合作用能促进PGRs对空心莲子草生长的促进作用,这很可能是外来杂草能够成功入侵人为干扰较多的农业生态系统的重要原因之一。 | Shanshan Qi Susan Rutherford Furong He Bi-Cheng Dong Bin Zhu Zhicong Dai Weiguo Fu Hanping Mao Daolin Du | 2022 | Journal of Plant Ecology2022，15，3： | 0 |
| 8 | Author Correction:Whole-genome sequencing of 508 patients identifies key molecular features associated with poor prog nosis in esophageal squamous cell carcinoma显示文摘Correction to:Cell Research http://gffzzd3cc09b8251d45dfsubwvbf5fnn0c6ucq.ffgz.tsg.suse.edu.cn/10.1038/s41422-020-0333-6,published online 12 May 2020 In the initial published version of this article,there was an error in the Supplementary information,Table S1.Row 463 and row 80 have the same sample id BDESCC-01-838.After checking the original id of these two samples,we found that they were actually two different samples.This error was caused by Excel random numbering when we assigned the external id to each sample.Thus,we re-assigned a new id BDESCC-01-839 to the row 4P3 sample to fix this issue. | Yongping Cui Hongyan Chen Ruibin Xie Heyang Cui Yahui Zhao Enwei Xu Ting Yan Xiaomei Lu Furong Huang Pengzhou Kong Yang Li Xiaolin Zhu Jiawei Wang Wenjie Zhu Jie Wang Yanchun Ma Yong Zhou Shiping Guo Ling Zhang Yiqian Liu Bin Wang Yanfeng Xi Ruifang Sun Xiao Yu Yuanfang Zhai Fang Wang Jian Yang Bin Yang Caixia Cheng Jing Liu Bin Song Hongyi Li Yi Wang Yingchun Zhang Xiaolong Cheng Qi min Zhan Yanhong Li Zhihua Liu | 2022 | Cell Research2022，32，4： | 0 |
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