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| 1 | Transcriptional Regulation of miR528 by OsSPL9 Orchestrates Antiviral Response in Rice显示文摘Many microRNAs (miRNAs) are critical regulators of plant antiviral defense.However,little is known about how these miRNAs respond to virus invasion at the transcriptional level.We previously show that defense against Rice stripe virus (RSV) invasion entailed a reduction of miR528 accumulation in rice,alleviating miR528-mediated degradation of L-Ascorbate Oxidase (AO) mRNA and bolstering the antiviral activity of AO.Here we show that the miR528-A0 defense module is regulated by the transcription factor SPL9.SPL9 displayed high-affinity binding to specific motifs within the promoter region of miR528 and activated the expression of miR528 gene in vivo.Loss-of-function mutations in SPL9 caused a significant reduction in miR528 accumulation but a substantial increase of AO mRNA,resulting in enhanced plant resistance to RSV.Conversely,transgenic overexpression of SPL9 stimulated the expression of miR528 gene,hence lowering the level of AO mRNA and compromising rice defense against RSV.Importantly,gain in RSV susceptibility did not occur when SPL9 was overexpressed in mir528 loss-of-function mutants,or in transgenic rice expressing a miR528-resistant AO.Taken together,the finding of SPL9-mediated transcriptional activation of miR528 expression adds a new regulatory layer to the miR528-A0 antiviral defense pathway. | Shengze Yao Zhirui Yang Rongxin Yang Yu Huang Ge Guo Xiangyue Kong Ying Lan Tong Zhou He Wang Wenming Wang Xiaofeng Cao Jianguo Wu Yi Li | 2019 | Molecular Plant2019，12，8： | 10 |
| 2 | Physics-informed neural networks(PINNs)for fluidmechanics:a review显示文摘Despite the significant progress over the last 50 years in simulating flow problems using numerical discretization of the Navier–Stokes equations(NSE),we still cannot incorporate seamlessly noisy data into existing algorithms,mesh-generation is complex,and we cannot tackle high-dimensional problems governed by parametrized NSE.Moreover,solving inverse flow problems is often prohibitively expensive and requires complex and expensive formulations and new computer codes.Here,we review flow physics-informed learning,integrating seamlessly data and mathematical models,and implement them using physics-informed neural networks(PINNs).We demonstrate the effectiveness of PINNs for inverse problems related to three-dimensional wake flows,supersonic flows,and biomedical flows. | Shengze Cai Zhiping Mao Zhicheng Wang Minglang Yin George Em Karniadakis | 2021 | Acta Mechanica Sinica2021，37，12： | 7 |
| 3 | Studies on the synthesis,pungency and anti-biofouling performance of capsaicin analogues显示文摘Ten capsaicin analogues were synthesized and their pungency degrees were determined through Scoville Organoleptic Test.The relationship between the structure and pungency degree of these capsaicin analogues was discussed.Then four of these capsaicin analogues with higher pungency degree were picked out and added to anti-biofouling paints as repellents to study their anti-biofouling performance by shallow sea buoyant raft hung-plate experimentation.The results showed that capsaicin and dihydrocapsaicin exhibited equally good anti-biofouling performance while nordihydrocapsaicin and N-vanillylnonanamide had poor anti-biofouling performance.Experimental results also showed that the paints with only 0.1% capsaicin or dihydrocapsaicin as repellent without any other biocides had also exhibited good anti-biofouling performance,which provided a new idea for developing novel,more environment-friendly and Cu2O-free antifouling paints. | PENG BiXian WANG JunLian PENG ZhengHong ZHOU ShengZe WANG FengQi JI YongLiang YE ZhangJi ZHOU XiangFeng LIN Tong ZHANG XiaoBin | 2012 | Science China Chemistry2012，55，3： | 3 |
| 4 | Filtering enhanced tomographic PIV reconstruction based on deep neural networks显示文摘Tomographic particle image velocimetry(Tomo-PIV)has been successfully applied in measuring three-dimensional(3D)flow field in recent years.Such technology highly relies on the reconstruction technique which provides the spatial particle distribution by using images from multiple cameras at different viewing angles.As the most popular reconstruction method,the multiplicative algebraic reconstruction technique(MART)has advantages in high computational speed and high accuracy for low particle seeding reconstruction.However,the accuracy is not satisfactory in the case of dense particle distributions to be reconstructed.To overcome this problem,a symmetric encode-decoder fully convolutional network is proposed in this paper to improve the reconstruction quality of MART.The input of the neural network is the particle field reconstructed by the MART approach,while the output is the regenerated image with the same resolution.Numerical evaluations indicate that those blurred or irregular particles can be significantly refined by the trained neural network.Most of the ghost particles can also be removed by this filtering method.The reconstruction accuracy can be improved by more than 10%without increasing the computational cost.Experimental evaluations indicate that the trained neural network can also provide similar satisfactory reconstruction and improved velocity fields. | Jiaming Liang Shengze Cai Chao Xu Jian Chu | 2020 | IET Cyber-Systems and Robotics2020，2，1： | 2 |
| 5 | Dedi- ffererltiation of human epidermal keratinocytes induced by UV in vitro显示文摘 | CaiS PanY FuX LeiY SunT Wang J ShengZ | 2009 | J Health Sci2009，55，5： | 1 |
| 6 | Fine Mapping of QTLs for Stigma Exsertion Rate from Oryza glaberrima by Chromosome Segment Substitution显示文摘Stigma exsertion is an important trait for outcrossing ability in rice.Stigma exsertion rate(SER)of male sterile lines(MSLs)is a key factor affecting F1-seed production in hybrid rice.In this study,seven QTLs for SER were detected on five chromosomes using a set of single-segment substitution lines(SSSLs)derived from O.glaberrima.Three of the QTLs were mapped in the estimated intervals of 92.5–333.0 kb.qSER-5 was located in a substitution segment of 92.5 kb.qS ER-1 b and qS ER-8 b were respectively limited to 333.0 kb and 107.5 kb by secondary substitution mapping.qSER-1 b and qSER-3 had bigger additive effects of 11.5%and 11.9%,respectively,while the other five QTLs had smaller additive effects from 5.7%to 8.6%.Open reading frames were identified in the regions of qS ER-5 and qSER-8 b in O.sativa and O.glaberrima genomes.Fine mapping of the QTLs laid a foundation for the cloning of genes,and QTLs for SER will be used to develop MSLs with strong ability of outcrossing. | TAN Quanya ZHU Haitao LIU Hui NI Yuerong WU Shengze LUAN Xin LIU Junwei YANG Weifeng YANG Zifeng ZENG Ruizhen LIU Guifu WANG Shaokui ZHANG Guiquan | 2022 | Rice science2022，29，1： | 1 |
| 7 | Studiesoninteractionsofcombingabilitywithenvironmentformaintraitsofmaizeinbreds[J]显示文摘 | ShenGZ(沈高中) YaoZM(赖钟铭) | | 作物学报0，，： | 1 |
| 8 | Enhanced electrocatalytic activity of nitrogen-doped graphene for the reduction of nitro explosives 显示文摘 | Chen TW Xu JY ShengZ H etal | 2012 | Electrochemistry Communications2012，16，1： | 1 |
| 9 | A new method to control chaos in an economic system 显示文摘 | Du J G HuangTW ShengZ H etal | 2010 | Applied Mathe- matics and Computation2010，217，6： | 1 |
| 10 | Regulation of matrix metalloproteinase-9 and inhibition of tumor invasion by the membrane-anchored glycoprotein RECK显示文摘 | Takahashi C ShengZ Horan TP | 1998 | Proc Natl Acad Sci U S A1998，95，13： | 1 |
| 11 | ResearchonbiologicalcharacteristicsoffloweringandseedsettingofSassafrastsumu(Laura-ceae)显示文摘 | ShenZ-Q(沈卓群) LuoQ-C(罗勤初) ShengZ(盛哲) eta1 | 1979 | 湖南林业科技1979，，1： | 1 |
| 12 | Structural, antigenic, and evolutionary characterizations of the envelope protein of newly emerging duck Tembusu virus显示文摘 | YU K SHENGZ Z HUANG B | 2013 | PLoSOne2013，8，71： | 1 |
| 13 | Monte Carlo Simulation of Fractures Using Isogeometric Boundary Element Methods Based on POD-RBF显示文摘This paper presents a novel framework for stochastic analysis of linear elastic fracture problems.Monte Carlo simulation(MCs)is adopted to address the multi-dimensional uncertainties,whose computation cost is reduced by combination of Proper Orthogonal Decomposition(POD)and the Radial Basis Function(RBF).In order to avoid re-meshing and retain the geometric exactness,isogeometric boundary element method(IGABEM)is employed for simulation,in which the Non-Uniform Rational B-splines(NURBS)are employed for representing the crack surfaces and discretizing dual boundary integral equations.The stress intensity factors(SIFs)are extracted by M integral method.The numerical examples simulate several cracked structures with various uncertain parameters such as load effects,materials,geometric dimensions,and the results are verified by comparison with the analytical solutions. | Haojie Lian Zhongwang Wang Haowen Hu Shengze Li Xuan Peng Leilei Chen | 2021 | Computer Modeling in Engineering & Sciences2021，，7： | 0 |
| 14 | BRICS Summit and Improvement of "International Fan" Urban Environment in Xiamen显示文摘Through the research and analysis of the BRICS countries in the academic community from 2012 to 2016,the development prospects of the BRICS summit and the BRICS countries were discussed,and the spirit of Xiamen welcoming to the BRICS summit was demonstrated. It can help Xiamen to better grasp and apply the historic opportunity of the BRICS summit,guide and promote the continuous development of social economy in Xiamen,consolidate and carry forward the fruitful results of reform and opening up in Xiamen,and turn Xiamen into a more ' international fan' metropolis. | Zhan Shengze | 2018 | Meteorological and Environmental Research2018，9，3： | 0 |
| 15 | WWP1 targeting MUC1 for ubiquitin-mediated lysosomal degradation to suppress carcinogenesis显示文摘Dear Editor,Mucin 1(MUC1)contains N-and C-subunit that forms a heterodimer on the apical surface of luminal epithelial cells.Nevertheless,MUC1 is aberrantly overexpressed in various cancers,such as breast cancer,lung cancer,and prostatic cancer,which critically contributes to tumorigenesis and poor clinical outcomes.1 Several strategies have been developed for targeted-inhibition of MUC1 including vaccines,monoclonal antibodies(MAb),and polypeptide. | Chunhua Liao Liping Yu Zhi Pang Huayun Deng Xiaodong Liao Shengze Li Jinke Cheng Min Qi Guoqiang Chen Lei Huang | 2021 | Signal Transduction and Targeted Therapy2021，6，9： | 0 |
| 16 | The biogenesis and secretion of exosomes and multivesicular bodies(MVBs):Intercellular shuttles and implications in human diseases显示文摘Exosomes carry and transmit signaling molecules used for intercellular communication.The generation and secretion of exosomes is a multistep interlocking process that allows simultaneous control of multiple regulatory sites.Protein molecules,mainly RAB GTPases,cytoskeletal proteins and soluble N-ethylmaleimide-sensitive fusion attachment protein receptor(SNARE),are specifically regulated in response to pathological conditions such as altered cellular microenvironment,stimulation by pathogenic factors,or gene mutation.This interferes with the smooth functioning of endocytosis,translocation,degradation,docking and fusion processes,leading to changes in the secretion of exosomes.Large numbers of secreted exosomes are disseminated by the flow of body fluids and absorbed by the recipient cells.By transmitting characteristic functional proteins and genetic information produced under disease conditions,exosomes can change the physiological state of the recipient cells and their microenvironment.The microenvironment,in turn,affects the occurrence and development of disease.Therefore,this review will discuss the mechanism by which exosome secretion is regulated in cells following the formation of mature secretory multivesicular bodies(MVBs).The overall aim is to find ways to eliminate disease-derived exosomes at their source,thereby providing an important new basis for the clinical treatment of disease. | Minxue Xu Jie Ji Dandan Jin Yue Wu Tong Wu Renjie Lin Shengze Zhu Feng Jiang Yifei Ji Baijun Bao Mei Li Weisong Xu Mingbing Xiao | 2023 | Genes & Diseases2023，10，5： | 0 |
| 17 | Uncertainty-Aware Physical Simulation of Neural Radiance Fields for Fluids显示文摘This paper presents a novel framework aimed at quantifying uncertainties associated with the 3D reconstruction of smoke from2Dimages.This approach reconstructs color and density fields from 2D images using Neural Radiance Field(NeRF)and improves image quality using frequency regularization.The NeRF model is obtained via joint training ofmultiple artificial neural networks,whereby the expectation and standard deviation of density fields and RGB values can be evaluated for each pixel.In addition,customized physics-informed neural network(PINN)with residual blocks and two-layer activation functions are utilized to input the density fields of the NeRF into Navier-Stokes equations and convection-diffusion equations to reconstruct the velocity field.The velocity uncertainties are also evaluated through ensemble learning.The effectiveness of the proposed algorithm is demonstrated through numerical examples.The presentmethod is an important step towards downstream tasks such as reliability analysis and robust optimization in engineering design. | Haojie Lian Jiaqi Wang Leilei Chen Shengze Li Ruochen Cao Qingyuan Hu Peiyun Zhao | 2024 | Computer Modeling in Engineering & Sciences2024，140，7： | 0 |
| 18 | Noise-Filtering Enhanced Deep Cognitive Diagnosis Model for LatentSkill Discovering显示文摘Educational data mining based on student cognitive diagnosis analysis can provide an important decision basis for personalized learning tutoring of students,which has attracted extensive attention from scholars at home and abroad and has made a series of important research progress.To this end,we propose a noise-filtering enhanced deep cognitive diagno-sis method to improve the fitting ability of traditional models and obtain students’skill mastery status by mining the interaction between students and problems nonlinearly through neural networks.First,modeling complex interactions between students and problems with multidimensional features based on cognitive processing theory can enhance the interpretability of the proposed model;second,the neural network is used to predict students’learning performance,diagnose students’skill mastery and provide immediate feedback;finally,by comparing the proposed model with several baseline models,extensive experimental results on real data sets demonstrate that the proposed Finally,by comparing the proposed model with several baseline models,the extensive experimental results on the actual data set demon-strate that the proposed model not only improves the accuracy of predicting students’learning performance but also enhances the interpretability of the neurocognitive diagnostic model. | Jing Geng Huali Yang Shengze Hu | 2023 | Intelligent Automation & Soft Computing2023，37，8： | 0 |
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