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| 1 | Guidelines for Acute Ischemic Stroke Treatment显示文摘Acute ischemic stroke(AIS)is one of the serious diseases endangering human health worldwide;it usually leads to serious handicap with a high risk of recurrence and death.Despite the global burden of stroke,great advances are still being made.Since the publication of the 2013 guidelines for the early management of AIS patients,new high-quality evidence has resulted in prominent changes in the evidence-based treatment of AIS,such as image assessment. | Shuwei Qiu Yun Xu | 2020 | Neuroscience Bulletin2020，36，10： | 12 |
| 2 | Molecular Dynamics and Density Functional Theory Study on Relationship Between Structure of Imidazoline Derivatives and Inhibition Performance显示文摘 | Xia Shuwei Qiu Meng Yu Liangmin | 2008 | Corrosion Science2008，50，7： | 1 |
| 3 | Molecular dynam- ics and density functional theory study on relationship be- tween structure of imidazoline derivatives and inhibition per- formanee显示文摘 | Xia Shuwei Qiu Meng Yu Liangmin | 2008 | Corrosion Science2008，50，： | 1 |
| 4 | Analysis of the Relationship Between CTOD Toughness and Micromech- anism of Marine Steel Weld Joint显示文摘 | Leng Shuwei Miao Zhangmu Qiu Fuxiang | 2012 | Applied Mechanics and Materials2012，，117119： | 1 |
| 5 | Visualization of magnetic fields with cylindrical vector beams in a warm atomic vapor显示文摘We propose and demonstrate an experimental implementation for the observation of magnetic fields from spatial features of absorption profiles in a warm atomic vapor.A radially polarized vector beam that traverses atomic vapor will generate an absorption pattern with a petal-like structure by the mediation of a transverse magnetic field(TMF).The spatial absorption pattern rotates when the azimuthal angle of the TMF is changed,while its contrast decreases when the longitudinal component of the magnetic field increases.By analyzing the intensity distribution of the transmitted pattern,we can determine the magnetic field strength.Our work provides a framework for investigating 3 D magnetic field distributions based on atoms. | SHUWEI QIU JINWEN WANG FRANCESCO CASTELLUCCI MINGTAO CAO SHOUGANG ZHANG THOMAS WCLARK SONJA FRANKE-ARNOLD HONG GAO FULI LI | 2021 | Photonics Research2021，9，12： | 1 |
| 6 | Controllable speckle compression in atomic vapor by frequency modulation and its application in ghost imaging显示文摘An image undergoes a paraxial diffraction spreading when propagating in free space.The reduction of diffraction is critical for many potential applications[1-3].Recently,it has been recognized that optical diffraction can be greatly suppressed or even eliminated by using atomic coherence effects[4-9].Several experimental attempts to extent the | JinWen Wang Xin Yang ShuWei Qiu Ming Tao Cao Dong Wei Hong Gao FuLi Li | 2018 | Science China(Physics,Mechanics & Astronomy)2018，61，9： | 0 |
| 7 | Carbon Catabolite Repressor UvCreA is Required for Development and Pathogenicity in Ustilaginoidea virens显示文摘The rice false smut disease, caused by Ustilaginoidea virens, has emerged as a significantglobal threat to rice production. The mechanism of carbon catabolite repression plays a crucial role in theefficient utilization of carbon nutrients and enzyme regulation in the presence of complex nutritionalconditions. Although significant progress has been made in understanding carbon catabolite repression infungi such as Aspergillus nidulans and Magnaporthe oryzae, its role in U. virens remains unclear. Toaddress this knowledge gap, we identified UvCreA, a pivotal component of carbon catabolite repression,in U. virens. Our investigation revealed that UvCreA localized to the nucleus. Deletion of UvCreA resultedin decreased growth and pathogenicity in U. virens. Through RNA-seq analysis, it was found that theknockout of UvCreA led to the up-regulation of 514 genes and down-regulation of 640 genes. Moreover,UvCreA was found to be involved in the transcriptional regulation of pathogenic genes and genesassociated with carbon metabolism in U. virens. In summary, our findings indicated that UvCreA isimportant in fungal development, virulence, and the utilization of carbon sources through transcriptionalregulation, thus making it a critical element of carbon catabolite repression. | XIE Shuwei SHI Huanbin WEN Hui LIU Zhiquan QIU Jiehua JIANG Nan KOU Yanjun | 2024 | Rice science2024，31，2： | 0 |
| 8 | Groundwater contaminant source identification considering unknown boundary condition based on an automated machine learning surrogate显示文摘Groundwater contamination source identification(GCSI)is a prerequisite for contamination risk evaluation and efficient groundwater contamination remediation programs.The boundary condition generally is set as known variables in previous GCSI studies.However,in many practical cases,the boundary condition is complicated and cannot be estimated accurately in advance.Setting the boundary condition as known variables may seriously deviate from the actual situation and lead to distorted identification results.And the results of GCSI are affected by multiple factors,including contaminant source information,model parameters,boundary condition,etc.Therefore,if the boundary condition is not estimated accurately,other factors will also be estimated inaccurately.This study focuses on the unknown boundary condition and proposed to identify three types of unknown variables(contaminant source information,model parameters and boundary condition)innovatively.When simulation-optimization(S-O)method is applied to GCSI,the huge computational load is usually reduced by building surrogate models.However,when building surrogate models,the researchers need to select the models and optimize the hyperparameters to make the model powerful,which can be a lengthy process.The automated machine learning(AutoML)method was used to build surrogate model,which automates the model selection and hyperparameter optimization in machine learning engineering,largely reducing human operations and saving time.The accuracy of AutoML surrogate model is compared with the surrogate model used in eXtreme Gradient Boosting method(XGBoost),random forest method(RF),extra trees regressor method(ETR)and elasticnet method(EN)respectively,which are automatically selected in AutoML engineering.The results show that the surrogate model constructed by AutoML method has the best accuracy compared with the other four methods.This study provides reliable and strong support for GCSI. | Yaning Xu Wenxi Lu Zidong Pan Chengming Luo Yukun Bai Shuwei Qiu | 2024 | Geoscience Frontiers2024，15，1： | 0 |
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