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Conditional Generative Adversarial Network Enabled Localized Stress Recovery of Periodic Composites

Computer Modeling in Engineering & Sciences 2024年第7期140卷 957-974页

作者： Chengkan Xu Xiaofei Wang yixuan li Guannan Wang He Zhang Transportation and Municipal Engineering Institute Powerchina Huadong Engineering CorporationHangzhou310014China College of Civil Engineering and Architecture Zhejiang UniversityHangzhou310058China Anhui Transport Consulting&Design Institute Co. Ltd.Hefei230088China Center for Balance Architecture Zhejiang UniversityHangzhou310058China

Structural damage in heterogeneousmaterials typically originates frommicrostructures where stress concentration occurs.Therefore,evaluating the magnitude and location of localized stress distributions within microstructures under external loading is crucial.Repeating unit cells(RUCs)are commonly used to represent microstructural details and homogenize the effective response of composites.This work develops a machine learning-based micromechanics tool to accurately predict the stress distributions of extracted RUCs.The locally exact homogenization theory efficiently generates the microstructural stresses of RUCs with a wide range of parameters,including volume fraction,fiber/matrix property ratio,fiber shapes,and loading direction.Subsequently,the conditional generative adversarial network(cGAN)is employed and constructed as a surrogate model to establish the statistical correlation between these parameters and the corresponding localized stresses.The stresses predicted by cGAN are validated against the remaining true data not used for training,showing good agreement.This work demonstrates that the cGAN-based micromechanics tool effectively captures the local responses of composite RUCs.It can be used for predicting potential crack initiations starting from microstructures and evaluating the effective behavior of periodic composites.

关键词： Periodic composites localized stress recovery conditional generative adversarial network

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Genetically predicted waist circumference and risk of atrial fibrillation

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Chinese Medical Journal 2024年第1期137卷 82-86页

作者： Wenting Wang Jiang-shan Tan Jingyang Wang Wei Xu liting Bai Yu Jin Peng Gao Peiyao Zhang yixuan li Yanmin Yang Jinping liu Department of Cardiopulmonary Bypass State Key Laboratory of Cardiovascular DiseaseFuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100037China Department of Anaesthesiology Second Affiliated HospitalHainan Medical CollegeHaikouHainan 570311China State Key Laboratory of Cardiovascular Disease Fuwai HospitalNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100037China

Introduction:Observational studies have revealed an association between waist circumference(WC)and atrial fibrillation(AF).However,it is difficult to infer a causal relationship from observational studies because the observed associations could be confounded by unknown risk factors.Therefore,the causal role of WC in AF is unclear.This study was designed to investigate the causal association between WC and AF using a two-sample Mendelian randomization(MR)analysis.Methods:In our two-sample MR analysis,the genetic variation used as an instrumental variable for MR was acquired from a genome-wide association study(GWAS)of WC(42 single nucleotide polymorphisms with a genetic significance of Pliable.Results:All three MR analyses provided evidence of a positive causal association between high WC and AF.High WC was suggested to increase the risk of AF based on the IVW method(odds ratio[OR]=1.43,95%confidence interval[CI],1.30-1.58,P=2.51×10^(-13)).The results of MR-Egger and weighted median regression exhibited similar trends(MR-Egger OR=1.40[95%CI,1.08-1.81],P=1.61×10^(-2);weighted median OR=1.39[95%CI,1.21-1.61],P=1.62×10^(-6)).MR-Egger intercepts and funnel plots showed no directional pleiotropic effects between high WC and AF.Conclusions:Our findings suggest that greater WC is associated with an increased risk of AF.Taking measures to reduce WC may help prevent the occurrence of AF.

关键词： Genetically predicted Waist circumference Atrial fibrillation Mendelian randomization

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Changes in milk fat globule membrane proteins along lactation stage of Laoshan dairy goat

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Journal of Integrative Agriculture 2024年第5期23卷 1737-1748页

作者： Chuozi liang Zhongna Yu Guangming Zhu yixuan li Xueheng Sun Hongning Jiang Qijing Du Rongbo Fan Jun Wang Yongxin Yang Rongwei Han College of Food Science and Engineering Qingdao Agricultural UniversityQingdao 266109China Bathurst Future Agri-Tech Institute Qingdao Agricultural UniversityQingdao 266109China Haidu Cllege Qingdao Agricultural UniversityQingdao 266109China

The milk fat globule membrane(MFGM)is a complex structure with numerous functions,and its composition is affected by many factors.There have been few systematic investigations on goat MFGM proteome profiling during lactation.Individual milk samples from 15 healthy dairy goats were obtained at six lactation time points for investigation of the MFGM proteome using both data-independent acquisition(DIA)and data-dependent acquisition(DDA)proteomics techniques combined with multivariate statistical analysis.Using the DIA method,890 variably abundant MFGM proteins were discovered throughout the lactation cycle.From 1 to 240 d,butyrophilin subfamily 1 member A1,lipoprotein lipase,perilipin-2,and adipose triglyceride lipase were upregulated,while APOE,complement C3,clusterin,and IgG were downregulated.Furthermore,from 1 to 90 d,annexin A1,annexin A2,and antithrombin-ll were downregulated,then upregulated by d 240.Albumin had a high degree of connectedness,indicating that it was a key protein,according to protein-protein interaction research.Overall,our findings gave new insights into the biological features of MFGM protein in goat milk throughout lactation,which may aid in the creation of specialized MFGM products and infant formula.

关键词： goat milk fat globule membrane protein data-independent acquisition(DIA) data-dependent acquisition(DDA) lactation proteomics

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DDAH1 promotes neurogenesis and neural repair in cerebral ischemia

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Acta Pharmaceutica Sinica B 2024年第5期14卷 2097-2118页

作者： Qiming Gao Pinfei Ni Yilin Wang Peiyun Huo Xiaojie Zhang Sihan Wang Fuyao Xiao yixuan li Wei Feng Juntao Yuan Teng Zhang Qiang li Boyu Fan Yuhao Kan Zhirui li Yimiao Qi Junfei Xing Zhenghong Yang Haixiao Cheng Xinran Gao Xiaoyan Feng Ming Xue Yang liu Yumin Luo Zhongbing Lu Yuming Zhao Department of Pharmacology School of Basic Medical SciencesCapital Medical UniversityBeijing 100069China Cerebrovascular Diseases Research Institute and Department of Neurology Xuanwu Hospital of Capital Medical UniversityBeijing 100053China State Key Laboratory for Structural Chemistry of Unstable and Stable Species Institute of ChemistryChinese Academy of SciencesBeijing 100190China College of life Science University of Chinese Academy of SciencesBeijing 100049China Department of Laboratory Animal School of Basic Medical SciencesCapital Medical UniversityBeijing 100069China Department of Physiology and Pathophysiology School of Basic Medical SciencesCapital Medical UniversityBeijing 100069China

Choline acetyltransferase(ChAT)-positive neurons in neural stem cell(NSC)niches can evoke adult neurogenesis(AN)and restore impaired brain function after injury,such as acute ischemic stroke(AIS).However,the relevant mechanism by which ChAT+neurons develop in NSC niches is poorly understood.Our RNA-seq analysis revealed that dimethylarginine dimethylaminohydrolase 1(DDAH1),a hydrolase for asymmetric NG,NG-dimethylarginine(ADMA),regulated genes responsible for the synthesis and transportation of acetylcholine(ACh)(Chat,Slc5a7 and Slc18a3)after stroke insult.The dual-luciferase reporter assay further suggested that DDAH1 controlled the activity of ChAT,possibly through hypoxia-inducible factor 1α(HIF-1α).KC7F2,an inhibitor of HIF-1α,abolished DDAH1-induced ChAT expression and suppressed neurogenesis.As expected,DDAH1 was clinically elevated in the blood of AIS patients and was positively correlated with AIS severity.By comparing the results among Ddah1 general knockout(KO)mice,transgenic(TG)mice and wild-type(WT)mice,we discovered that DDAH1 upregulated the proliferation and neural differentiation of NSCs in the subgranular zone(SGZ)under ischemic insult.As a result,DDAH1 may promote cognitive and motor function recovery against stroke impairment,while these neuroprotective effects are dramatically suppressed by NSC conditional knockout of Ddah1 in mice.

关键词： DDAH1 Neurogenesis Neural repair ChAT HIF-1α ACh Stroke ADMA

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TFM imaging of aeroengine casing ring forgings with curved surfaces using acoustic field threshold segmentation and vector coherence factor

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Chinese Journal of Aeronautics 2022年第11期35卷 401-415页

作者： Shanyue GUAN Xiaokai WANG lin HUA yixuan li Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of TechnologyWuhan 430070China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan 430070China School of Automotive Engineering Wuhan University of TechnologyWuhan 430070China

The aeroengine casing ring forgings have complex cross-section shapes,when the conventional ultrasonic or phased array is applied to detect such curved surfaces,the inspection images always have low resolution and even artifacts due to the distortion of the wave beam.In this article,taking a type of aeroengine casing ring forging as an example,the Total Focusing Method(TFM)algorithms for curved surfaces are investigated.First,the Acoustic Field Threshold Segmentation(AFTS)algorithm is proposed to reduce background noise and data calculation.Furthermore,the Vector Coherence Factor(VCF)is adopted to improve the lateral resolution of the TFM imaging.Finally,a series of 0.8 mm diameter Side-Drilled Holes(SDHs)are machined below convex and concave surfaces of the specimen.The quantitative comparison of the detection images using the conventional TFM,AFTS-TFM,VCF-TFM,and AFTS-VCF-TFM is implemented in terms of data volume,imaging Signal-to-Noise Ratio(SNR),and defect echo width.The results show that compared with conventional TFM,the data volume of AFTS-VCF-TFM algorithm for convex and concave is decreased by 32.39%and 73.40%,respectively.Moreover,the average SNR of the AFTS-VCF-TFM is gained up to 40.0 dB,while the average 6 dB-drop echo width of defects is reduced to 0.74 mm.

关键词： Aeroengine casing Acoustic Field Threshold Segmentation(AFTS) Curved surfaces Total Focusing Method(TFM) Vector Coherence Factor(VCF)

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Study on Acoustic Emission Characteristics of Self-Compacting Concrete under Uniaxial Compression Test

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Journal of Renewable Materials 2022年第8期10卷 2287-2302页

作者： Yongshuai Sun Guihe Wang yixuan li College of Water Resources&Civil Engineering China Agricultural UniversityBeijing100083China School of Engineering and Technology China University of GeosciencesBeijing100083China

To study the relationship between acoustic emission characteristic parameters of self-compacting concrete(SCC)and its destruction evolution,under uniaxial compression,acoustic emission(AE)tests are performed on C30 selfcompacting concrete test blocks that are preserved for 7 days and 28 days,the corresponding relationship among energy,amplitude,ring count and different failure stages of the specimens are analyzed by AE experiment,and the spatial distribution of AE in each stage is described by introducing location map.The test shows that there are two rules for the failure of SCC specimens cured for 7 days and 28 days:(1)The first failure law is divided into four stages according to the percentage of the stress value reaching the limit stress:Initial stage:above 10%,the compaction time of test block cured for 28 days is relatively low;Elastic failure stage:30%–35%,the cumulative value of each parameter increases linearly,and the cumulative value of the amplitude is the largest;Crack stable propagation stage:35%–90%,there is a moment that causes local stress concentration in both test blocks;Active stage:above 90%,the cumulative value of the parameter rises sharply,then continues to load the test block instability and damage.(2)The second failure law is divided into five stages according to the percentage of the stress value reaching the limit stress:Initial stage:15%–20%,the cumulative value of each parameter increases with time;Elastic failure stage:20%–40%,the cumulative value of the parameter continues to grow,but the growth curve is approximately parallel;Crack stable propagation stage:40%–60%,all parameters increased sharply and the increase reached the peak of the whole process;A stable state:60–80%,the emission characteristic parameter will become zero,and the stable state of the 28 days curing test block is lagging;Active stage:above 90%,the number of signals increased sharply,but the energy and amplitude are low,and the later test block is completely fractured.(3)In the process of failure,the test block

关键词： Acoustic emission change rule damage localization self-compacting concrete uniaxial compression

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Comprehensive Approach to Assessment of liver Viability During Normothermic Machine Perfusion

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Journal of Clinical and Translational Hepatology 2023年第2期11卷 466-479页

作者： Jiahao li Haoyang Lu Jian Zhang yixuan li Qiang Zhao Organ Transplant Center The First Affiliated HospitalSun Yat-sen UniversityGuangzhouGuangdongChina

liver transplantation is the most effective treatment of advanced liver disease,and the use of extended criteria donor organs has broadened the source of available livers.Although normothermic machine perfusion(NMP)has become a useful tool in liver transplantation,there are no consistent criteria that can be used to evaluate the viability of livers during NMP.This review summarizes the criteria,indicators,and methods used to evaluate liver viability during NMP.The shape,appearance,and hemodynamics of the liver can be analyzed at a macroscopic level,while markers of liver injury,indicators of liver and bile duct function,and other relevant indicators can be evaluated by biochemical analysis.The liver can also be assessed by tissue biopsy at the microscopic level.Novel methods for assessment of liver viability are introduced.The limitations of evaluating liver viability during NMP are discussed and suggestions for future clinical practice are provided.

关键词： Normothermic machine perfusion liver viability Criteria

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Pyopneumothorax caused by Parvimonas micra and Prevotella oralis:a case report

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World Journal of Emergency Medicine 2023年第6期14卷 488-491页

作者： yixuan li Jun Yang Junyu Wang Bing Wei Le Hu Emergency Medicine Clinical Research Center Beijing Chao-Yang HospitalCapital Medical UniversityBeijing 100043China

Parvimonas is a group of Grampositive bacteria that are common anaerobic cocci in the oral cavity and the gastrointestinal tract and one of the pathogens of periodontitis,,^([1])and Prevotella is a group of Gramnegative anaerobic bacteria that are found mainly in the oral cavity and intestinal tract and are mainly involved in periodontal infections.

关键词： cavity monas anaerobic

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Trait-based approach revealed the seasonal variation of mesozooplankton functional groups in the South Yellow Sea

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Marine life Science & Technology 2023年第1期5卷 126-140页

作者： Zhishuang Zhang Hongju Chen yixuan li Ruping Ge Guangxing liu Shaukat Ali Yunyun Zhuang Key Laboratory of Marine Environment and Ecology Ministry of EducationOcean University of ChinaQingdao266100China Marine Ecology and Environmental Science Laboratory Pilot National Laboratory for Marine Science and TechnologyQingdao266200China Department of Environmental Sciences Karakoram International UniversityGilgit15100Pakistan

Functional traits determine the fitness of organisms and mirror their ecological functions.Although trait-based approaches provide ecological insights,it is underexploited for marine zooplankton,particularly with respect to seasonal variation.Here,based on four major functional traits,including body length,feeding type,trophic group,and reproduction mode,we quantified the seasonal variations of mesozooplankton functional groups in the South Yellow Sea(SYS)in the spring,summer,and autumn of 2018.Strong seasonal dynamics were identified for all traits but patterns varied among traits.Small zooplankton(47.7–88.6%),omnivores–herbivores(81.3–97.6%),and free spawners(54.8–92.5%)dominated in three seasons,while ambush feeders and current feeders dominated in spring(45.7%),and autumn(73.4%),respectively.Cluster analysis of the functional traits showed that the mesozooplankton in the SYS can be classified into eight functional groups.The biogeographic and seasonal variations of functional groups can be partially explained by environmental drivers.Group 1,represented by omnivores–herbivores,was the most dominant functional group,the abundance of which peaked in spring and was positively correlated with chlorophyll a concentration,indicating its close association with phytoplankton dynamics.The contribution of giant,active ambush carnivores,passive ambush carnivore jellyfish,current omnivores–detritivores,and parthenogenetic cladocerans increased with sea surface temperature.The proportion of giant,active ambush carnivores and active ambush omnivore–carnivore copepods decreased with salinity in autumn.This study presents a new perspective for understanding the dynamics of zooplankton and paves the way for further research on the functional diversity of zooplankton in the SYS.

关键词： Zooplankton Southern Yellow Sea Functional trait Functional group Seasonal variation

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Deep learning in optical metrology:a review

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light(Science & Applications) 2022年第4期11卷 466-519页

作者： Chao Zuo Jiaming Qian Shijie Feng Wei Yin yixuan li Pengfei Fan Jing Han Kemao Qian Qian Chen Smart Computational Imaging(SC)Laboratory Nanjing University of Science and Technology210094 NanjingJiangsu ProvinceChina Jiangsu Key Laboratory of Spectral Imaging&Intelligent Sense Nanjing University of Science and Technology210094 NanjingJiangsu ProvinceChina School of Engineering and Materials Science Queen Mary University of LondonLondon E14NSUK School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore

With the advances in scientific foundations and technological implementations,optical metrology has become versatile problem-solving backbones in manufacturing,fundamental research,and engineering applications,such as quality control,nondestructive testing,experimental mechanics,and biomedicine.In recent years,deep learning,a subfield of machine learning,is emerging as a powerful tool to address problems by learning from data,largely driven by the availability of massive datasets,enhanced computational power,fast data storage,and novel training algorithms for the deep neural network.It is currently promoting increased interests and gaining extensive attention for its utilization in the field of optical metrology.Unlike the traditional,,physics-basedH approach,deep-learning-enabled optical metrology is a kind of,/data-drivenw approach,which has already provided numerous alternative solutions to many challenging problems in this field with better performances.In this review,we present an overview of the current status and the latest progress of deep-learning technologies in the field of optical metrology.We first briefly introduce both traditional image-processing algorithms in optical metrology and the basic concepts of deep learning,followed by a comprehensive review of its applications in various optical metrology tasks,such as fringe denoising,phase retrieval,phase unwrapping,subset correlation,and error compensation.The open challenges faced by the current deep-learning approach in optical metrology are then discussed.Finally,the directions for future research are outlined.

关键词： backbone subset versatile

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