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| 1 | Outdoor relative radiometric calibration method using gray scale targets显示文摘The radiometric calibration of remote sensors is a basis and prerequisite of information quantification in remote sensing. This paper proposes a method for outdoor relative radiometric calibration using gray scale targets. In this method, the idea of two substitutions is adopted. Sunlight is used to replace the integrating sphere light source, and gray scale targets are used to re-place the diffuser. In this way, images at different radiance levels obtained outdoors can calculate the relative radiometric cali-bration coefficients using the least square method. The characteristics of this method are as follows. Firstly, compared with la-boratory calibration, it greatly reduces the complexity of the calibration method and the test cost. Secondly, compared with the existing outdoor relative radiometric calibration of a single radiance level, it uses test images of different radiance levels to re-duce errors. Thirdly, it is easy to operate with fewer environmental requirements, has obvious advantages in the rapid calibra-tion of airborne remote sensors before or after flight and is practical in engineering. This paper theoretically and experimental-ly proves the feasibility of this method. Calibration experiments were conducted on the wide-view multispectral imager (WVMI) using this method, and the precision of this method was evaluated by analyzing the corrected images of large uniform targets on ground. The experiment results have demonstrated that the new method is effective and its precision meets the re-quirement of the absolute radiometric calibration. | DUAN YiNi YAN Lei YANG Bin JING Xin CHEN Wei | 2013 | Science China(Technological Sciences)2013，56，7： | 2 |
| 2 | Enhanced chemoselectivity of a plant cytochrome P450 through protein engineering of surface and catalytic residues显示文摘Cytochrome P450s(P450s)are the most versatile catalysts utilized by plants to produce structurally and functionally diverse metabolites.Given the high degree of gene redundancy and challenge to functionally characterize plant P450s,protein engineering is used as a complementarystrategy to study the mechanisms of P450-mediated reactions,or to alter their functions.We previously proposed an approach of engineering plant P450s based on combining high accuracy homology models generated by Rosetta combined with data-driven design using evoluti onary information of these enzymes.With this strategy,we repurposed a multi-functional P450(CYP87D20)into a monooxygenase after red esigning its active site.Since most plant P450s are membrane-anchored proteins that are adapted to the micro-environments of plant cells,expressing them in heterologous hosts usually results in problems of expression or activity.Here,we applied compu-tational design to tackle these issues by simultaneous optimization of the protein surface and active site.After screening 17 variants,effective su bstitutions of surface residues were observed to improve both expression and activity of CYP87D20.In addition,the identified substitutions were additive and by com-bining them a highly eficient C11 hydroxylase of cucurbitadienol was created to participate in the mogrol biosynthesis.This study shows the importance of considering the interplay between surface and active site residues for P450 engineering.Our integrated strategy also opens an avenue to create more tai loring enzymes with desired functions for the metabolic engineering of high-valued compounds like mogrol,the precursor of natural sweetener mogrosides. | Xiaopeng Zhang Wei Luo Yinying Yao Xuming Luo Chao Han Yang Zhong Bo Zhang Dawei Li Lida Han Sanwen Huang Per Greisen Yi Shang | 2021 | aBIOTECH2021，2，3： | 1 |
| 3 | Systematic screening reveals synergistic interactions that overcome MAPK inhibitor resistance in cancer cells显示文摘Objective:Effective adjuvant therapeutic strategies are urgently needed to overcome MAPK inhibitor(MAPKi)resistance,which is one of the most common forms of resistance that has emerged in many types of cancers.Here,we aimed to systematically identify the genetic interactions underlying MAPKi resistance,and to further investigate the mechanisms that produce the genetic interactions that generate synergistic MAPKi resistance.Methods:We conducted a comprehensive pair-wise sgRNA-based high-throughput screening assay to identify synergistic interactions that sensitized cancer cells to MAPKi,and validated 3 genetic combinations through competitive growth,cell viability,and spheroid formation assays.We next conducted Kaplan-Meier survival analysis based on The Cancer Genome Atlas database and conducted immunohistochemistry to determine the clinical relevance of these synergistic combinations.We also investigated the MAPKi resistance mechanisms of these validated synergistic combinations by using co-immunoprecipitation,Western blot,qRTPCR,and immunofluorescence assays.Results:We constructed a systematic interaction network of MAPKi resistance and identified 3 novel synergistic combinations that effectively targeted MAPKi resistance(ITGB3+IGF1R,ITGB3+JNK,and HDGF+LGR5).We next analyzed their clinical relevance and the mechanisms by which they sensitized cancer cells to MAPKi exposure.Specifically,we discovered a novel protein complex,HDGF-LGR5,that adaptively responded to MAPKi to enhance cancer cell stemness,which was up-or downregulated by the inhibitors of ITGB3+JNK or ITGB3+IGF1R.Conclusions:Pair-wise sgRNA library screening provided systematic insights into elucidating MAPKi resistance in cancer cells.ITGB3-+IGF1R-targeting drugs(cilengitide+linsitinib)could be used as an effective therapy for suppressing the adaptive formation of the HDGF-LGR5 protein complex,which enhanced cancer stemness during MAPKi stress. | Yu Yu Minzhen Tao Libin Xu Lei Cao Baoyu Le Na An Jilin Dong Yajie Xu Baoxing Yang Wei Li Bing Liu Qiong Wu Yinying Lu Zhen Xie Xiaohua Lian | 2022 | Cancer Biology & Medicine2022，19，2： | 1 |
| 4 | Locating defense positions for thwarting the propagation of topological worms显示文摘 | WEN Sheng ZHOU Wei WANG Yini | 2012 | Communications Letters2012，16，4： | 1 |
| 5 | Relationship of Microchannels and Plaque Erosion in Patients with ST-Segment Elevation Myocardial Infarction: An Optical Coherence Tomography Study显示文摘Objective:Microchannels are associated with the progression of atherosclerotic vulnerable plaques.However,in patients with culprit optical coherence tomography(OCT)-defined plaque erosion,the knowledge of microchannels and culprit lesion vulnerability is limited.The aim of this study was to investigate culprit lesion characteristics in patients with ST-segment elevated myocardial infarction(STEMI)caused by plaque erosion with and without microchannels using OCT.Methods:In all,348 STEMI patients with plaque erosion who underwent OCT of the culprit lesion at the 2nd Affiliated Hospital of Harbin Medical University(Harbin,China)from August 2014 to December 2017 were included and divided into the microchannel group(n=116,33.3%)and no-microchannel group(n=232,66.7%).The clinical characteristics and OCT-derived plaque features were compared between both groups.Results:Among the 348 STEMI patients with plaque erosion,culprit lesions with microchannels had higher incidence of lipid plaque(59.5%vs.45.3%,P=0.012);calcification(41.4%vs.24.6%,P=0.002);spotty calcification(30.2%vs.18.1%,P=0.014);macrophages accumulation(72.4%vs.45.7%,P<0.001);and cholesterol crystals(32.8%vs.14.2%,P<0.001)than those without microchannels.In addition,minimal lumen area was smaller((1.9±0.9)mm2 vs.(2.8±2.3)mm2,P<0.001)and lumen area stenosis was greater((71.3%±13.4%)vs.(65.3%±19.3%),P=0.001)in the microchannel group than in the no-microchannel group.Conclusion:In patients with STEMI caused by plaque erosion,one-third manifested typical microchannel characteristics,and those with microchannels were associated with more severe luminal stenosis and more vulnerable plaque features than those without microchannels. | Senqing Jiang Junchen Guo Yanwei Yin Chao Fang Jifei Wang Yidan Wang Fangmeng Lei Sibo Sun Xueying Pei Ruyi Jia Shaotao Zhang Lulu Li Yini Wang Lei Xing Huai Yu Huimin Liu Maoen Xu Xuefeng Ren Lijia Ma Guo Wei Jingbo Hou Jiannan Dai Bo Yu | 2022 | Cardiology Discovery2022，2，2： | 0 |
| 6 | Enhancing the electrocatalytic performance of nitrate reduction to ammonia by in-situ nitrogen leaching显示文摘Electrochemical nitrate reduction reaction (NITRR) is regarded as a “two birds-one stone” method for the treatment of nitrate contaminant in polluted water and the synthesis of valuable ammonia, which is retarded by the lack of highly reactive and selective electrocatalysts .Herein, for the first time, nickel foam supported Co_(4) N was designed as a high-performance NITRR catalyst by an in-situ nonmetal leaching-induced strategy.At the optimal potential, the Co_(4) N/NF catalyst achieves ultra-high Faraday efficiency and NH_(3) selectivity of 95.4% and 99.4%, respectively.Ex situ X-ray absorption spectroscopy (XAS), together with other experiments powerfully reveal that the nitrogen vacancies produced by nitrogen leaching are stable and play a key role in boosting nitrate reduction to ammonia.Theoretical calculations confirm that Co_(4) N with abundant nitrogen vacancies can optimize the adsorption energies of NO_(3)^(-) and intermediates, lower the free energy (Δ G ) of the potential-determining step (*NH_(3) to NH_(3) ) and inhibit the formation of N-containing byproducts.In addition, we also conclude that the nitrogen vacancies can stabilize the adsorbed hydrogen, making H_(2) quite difficult to produce, and lowering ΔG from *NO to *NOH, which facilitates the selective reduction of nitrate.This study reveals significant insights about the in-situ nonmetal leaching to enhance the NITRR activity. | Mimi Fu Yini Mao Hua Wang Wei Luo Yimin Jiang Wei Shen Ming Li Rongxing He | 2024 | Chinese Chemical Letters2024，35，2： | 0 |
| 7 | 基因组和转录组测序整合分析揭示混合型肝癌的不同分子亚型显示文摘文章简介原发性肝癌每年造成全球约70万病人死亡且过半死亡病例来自中国,其致死率在所有癌种中高居第二。肝癌主要分为3种类型:肝细胞癌(约80%)、肝内胆管癌(约15%)和混合型肝癌(约5%)。混合型肝癌兼具肝细胞癌和胆管细胞癌两种成分,是预后最差的一种肝癌。 | 薛瑞栋 陈璐 张冲 藤田征志 Ruoyan Li Shu-Mei Yan Choon Kiat Ong Xiwen Liao Qiang Gao Shota Sasagawa Yanmeng Li Jincheng Wang Hua Guo Qi-Tao Huang Qian Zhong Jing Tan Lisha Qi Wenchen Gong Zhixian Hong Meng Li Jingmin Zhao Tao Peng Yinying Lu Kiat Hon Tony Lim Arnoud Boot Atushi Ono Kazuaki Chayama Zemin Zhang Steve George Rozen Bin Tean Teh Xin Wei Wang Hidewaki Nakagawa 曾木圣 白凡 张宁 | 2020 | 科学新闻2020，，2： | 0 |
| 8 | Lung Nodule Detection Based on YOLOv3 Deep Learning with Limited Datasets显示文摘The early symptom of lung tumor is always appeared as nodule on CT scans,among which 30%to 40%are malignant according to statistics studies.Therefore,early detection and classification of lung nodules are crucial to the treatment of lung cancer.With the increasing prevalence of lung cancer,large amount of CT images waiting for diagnosis are huge burdens to doctors who may missed or false detect abnormalities due to fatigue.Methods:In this study,we propose a novel lung nodule detection method based on YOLOv3 deep learning algorithm with only one preprocessing step is needed.In order to overcome the problem of less training data when starting a new study of Computer Aided Diagnosis(CAD),we firstly pick up a small number of diseased regions to simulate a limited datasets training procedure:5 nodule patterns are selected and deformed into 110 nodules by random geometric transformation before fusing into 10 normal lung CT images using Poisson image editing.According to the experimental results,the Poisson fusion method achieves a detection rate of about 65.24%for testing 100 new images.Secondly,419 slices from common database RIDER are used to train and test our YOLOv3 network.The time of lung nodule detection by YOLOv3 is shortened by 2–3 times compared with the mainstream algorithm,with the detection accuracy rate of 95.17%.Finally,the configuration of YOLOv3 is optimized by the learning data sets.The results show that YOLOv3 has the advantages of high speed and high accuracy in lung nodule detection,and it can access a large amount of CT image data within a short time to meet the huge demand of clinical practice.In addition,the use of Poisson image editing algorithms to generate data sets can reduce the need for raw training data and improve the training efficiency. | Zhaohui Bu Xuejun Zhang Jianxiang Lu Huan Lao Chan Liang Xianfu Xu Yini Wei Hongjie Zeng | 2022 | Molecular & Cellular Biomechanics2022，19，1： | 0 |
| 9 | Ambient electrocatalytic synthesis of urea by co-reduction of NO_(3)^(-) and CO_(2) over graphene-supported In_(2)O_(3)显示文摘Urea plays a vital role in the sustainable development of mankind as it is one of the most important nitrogen fertilizers.Conventional synthesis of urea is accompanied by a high level of energy consumption while electrocatalytic methods suffer from low yields and poor selectivity.Our work achieves efficient synthesis of urea by designing the graphene-In_(2)O_(3)electrocatalysts for the co-activated reduction of nitrate and carbon dioxide,where the formation rate of urea,Faraday efficiency(FE)and carbon selectivity at-0.35 V vs.RHE can reach 357.47μg mg^(-1)h^(-1),10.46%and~100%,respectively.Herein,the key intermediates in the C–N coupling reaction are demonstrated to be*NH_(2)and*CO_(2),which is of novelty compared to previous reports.This work may provide inspiration for subsequent studies on the reaction mechanism of the electrochemical synthesis of urea,as well as theoretical guidance for the sustainable synthesis of some other important chemical substances. | Yini Mao Yong Jiang Hao Liu Yimin Jiang Ming Li Wei Su Rongxing He | 2024 | Chinese Chemical Letters2024，35，3： | 0 |
| 10 | Molecular deconvolution of the neutralizing antibodies in duced by an in activated SARS-CoV-2 virus vaccine显示文摘Dear Editor,The rapid emerge nee and persistence of the pan demic caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)has had enormous impacts on global health and the economy.Effective vaccines against SARS-CoV-2 are urgently needed to control the coronavirus disease 2019(COVID-19)pandemic,and multiple vaccines have been found to be efficacious in preventing symptomatic COVID-19(Polack et al.,2020;Wu et al.,2020;Jones and Roy,2021). | Xingdong Zhou Hui Wang Qun Ji Mingjuan Du Yuexia Liang Huanhuan Li Fan Li Hang Shang Xiujuan Zhu Wei Wang Lichun Jiang Alexey V.Stepanov Tianyu Ma Nanxin Gong Xiaodong Jia Alexander G.Gabibov Zhiyong Lou Yinying Lu Yu Guo Hongkai Zhang Xiaoming Yang | 2021 | Protein & Cell2021，12，10： | 0 |
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