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Study on Quantitative Precipitation Estimation by Polarimetric Radar Using Deep Learning

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Advances in Atmospheric Sciences 2024年第6期41卷 1147-1160页

作者： Jiang HUANGFU zhiqun HU Jiafeng zhENG Lirong wang Yongjie zhU State Key Lab of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China Meteorological observatory of Jiangxi Province Nanchang 330096China Hebei Meteorological Disaster Prevention and Environmental Meteorological Center Shijiazhuang 050021China School of Atmospheric Sciences Chengdu University of Information TechnologyChengdu 610225China

Accurate radar quantitative precipitation estimation(QPE)plays an essential role in disaster prevention and *** this paper,two deep learning-based QPE networks including a single-parameter network and a multi-parameter network are ***,a self-defined loss function(SLF)is proposed during *** dataset includes Shijiazhuang S-band dual polarimetric radar(CiNRAD/SAD)data and rain gauge data within the radar’s 100-km detection range during the flood season of 2021 in North *** that the specific propagation phase shift(KDP)has a roughly linear relationship with the precipitation intensity,KDP is set to 0.5°km^(-1 )as a threshold value to divide all the rain data(AR)into a heavy rain(HR)and light rain(LR)***,12 deep learning-based QPE models are trained according to the input radar parameters,the precipitation datasets,and whether an SLF was adopted,*** results suggest that the effects of QPE after distinguishing rainfall intensity are better than those without distinguishing,and the effects of using SLF are better than those that used MSE as a loss function.A Z-R relationship and a zh-KDP-R synthesis method are compared with deep learning-based *** mean relative errors(MRE)of AR models using SLF are improved by 61.90%,51.21%,and 56.34%compared with the Z-R relational method,and by 38.63%,42.55%,and 47.49%compared with the synthesis ***,the models are further evaluated in three precipitation processes,which manifest that the deep learning-based models have significant advantages over the traditional empirical formula methods.

关键词： polarimetric radar quantitative precipitation estimation deep learning single-parameter network multi-parameter network

Mechanism of inflammatory response and therapeutic effects of stem cells in ischemic stroke:current evidence and future perspectives

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Neural Regeneration Research 2025年第1期20卷 67-81页

作者： Yubo wang Tingli Yuan Tianjie Lyu Ling zhang Meng wang zhiying He Yongjun wang Zixiao Li Vascular Neurology Department of NeurologyBeijing Tiantan HospitalCapital Medical UniversityBeijingChina China National Clinical Research Center for Neurological Diseases Beijing Tiantan HospitalCapital Medical UniversityBeijingChina Shanghai Engineering Research Center of Stem Cells Translational Medicine ShanghaiChina National Center for Healthcare Quality Management in Neurological Diseases Beijing Tiantan HospitalCapital Medical UniversityBeijingChina institute for Regenerative Medicine Shanghai East HospitalSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina Chinese institute for Brain Research BeijingChina Research Unit of Artificial intelligence in Cerebrovascular Disease Chinese Academy of Medical SciencesBeijingChina Beijing Engineering Research Center of Digital Healthcare for Neurological Diseases BeijingChina

ischemic stroke is a leading cause of death and disability worldwide,with an increasing trend and tendency for onset at a younger ***,in particular,bears a high burden of stroke *** recent years,the inflammatory response after stroke has become a research hotspot:understanding the role of inflammatory response in tissue damage and repair following ischemic stroke is an important direction for its *** review summarizes several major cells involved in the inflammatory response following ischemic stroke,including microglia,neutrophils,monocytes,lymphocytes,and ***,we have also highlighted the recent progress in various treatments for ischemic stroke,particularly in the field of stem cell ***,understanding the complex interactions between inflammation and ischemic stroke can provide valuable insights for developing treatment strategies and improving patient *** cell therapy may potentially become an important component of ischemic stroke treatment.

关键词： cell therapy immune cell inflammatory ischemic stroke stem cell

Credit risk prediction for small and medium enterprises utilizing adjacent enterprise data and a relational graph attention network

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Journal of Management Science and Engineering 2024年第2期9卷 177-192页

作者： Jiaxing wang Guoquan Liu Xiaobo Xu Xinjie Xing international Business School Suzhou Xi'an Jiaotong-Liverpool UniversitySuzhou215028China Financial Technology Research institute Fudan UniversityShanghai200433China Management School University of LiverpoolChatham StreetLiverpoolL697ZHUK

Credit risk prediction for small and medium enterprises(SMEs)has long posed a complex research *** approaches have primarily focused on enterprise-specific variables,but these models often prove inadequate when applied to SMEs with incomplete *** this innovative study,we push the theoretical boundaries by leveraging data from adjacent enterprises to address the issue of data *** strategy involves constructing an intricate network that interconnects enterprises based on shared managerial teams and business *** this network,we propose a novel relational graph attention network(RGAT)algorithm capable of capturing the inherent complexity in its topological *** doing so,our model enhances financial service providers'ability to predict credit risk even in the face of incomplete data from target *** experiments conducted using China's SMEs highlight the predictive proficiency and potential economic benefits of our proposed *** approach offers a comprehensive and nuanced perspective on credit risk while demonstrating the advantages of incorporating network-wide data in credit risk prediction.

关键词： Risk management SMEC redit risk Transactional data Graph neural network

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蜂蜜甜米酒的研制

蜜蜂杂志 2024年第6期44卷 17-21页

作者：刘彩珍付志英福建农业职业技术学院

以糯米和蜂蜜为主要原料酿制蜂蜜甜米酒，采用正交实验法以蜂蜜甜米酒的感官得分为指标，对其酿制过程中蜂蜜、酒曲以及纯净水三者的添加量进行优化，正交分析结果显示当三者添加量依次为：蜂蜜15.0 g、酒曲1.5 g、纯净水80.0 mL时最佳... 详细信息

以糯米和蜂蜜为主要原料酿制蜂蜜甜米酒，采用正交实验法以蜂蜜甜米酒的感官得分为指标，对其酿制过程中蜂蜜、酒曲以及纯净水三者的添加量进行优化，正交分析结果显示当三者添加量依次为：蜂蜜15.0 g、酒曲1.5 g、纯净水80.0 mL时最佳，经验证实验在最佳工艺参数下酿制出的蜂蜜甜米酒酒精度6.85，感官评分均值为88.7，与正交实验结果相一致。

关键词：蜂蜜糯米发酵工艺米酒

Diversity and connectedness of brine shrimp viruses in global hypersaline ecosystems

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Science China(Life Sciences) 2024年第1期67卷 188-203页

作者： Xuan Dong Cixiu Li Yiting wang Tao Hu Fan zhang Fanzeng Meng Meirong Gao Xuekai Han Guohao wang Jiahao Qin Hans Nauwynck Edward CHolmes Patrick Sorgeloos Liying Sui Jie Huang Weifeng Shi State Key Laboratory of Mariculture Biobreeding and Sustainable Goods Yellow Sea Fisheries Research InstituteChinese Academy of Fishery SciencesLaboratory for Marine Fisheries Science and Food Production ProcessesLaoshan LaboratoryKey Laboratory of Maricultural Organism Disease ControlMinistry of Agriculture and Rural AffairsQingdao Key Laboratory of Mariculture Epidemiology and BiosecurityQingdao 266071China Shandong Provincial Hospital Affiliated to Shandong First Medical University Jinan 250021China Key Laboratory of Emerging infectious Diseases in Universities of Shandong Shandong First Medical University&Shandong Academy of Medical SciencesTaian 271000China Dalian Ocean University Dalian 116023China Asian Regional Artemia Reference Center Tianjin University of Science&TechnologyTianjin 300457China Ghent University Ghent 9000Belgium Sydney institute for infectious Diseases School of Medical SciencesThe University of SydneySydney 2006Australia Network of Aquaculture Centres in Asia-Pacific Bangkok 10900Thailand School of Public Health Shandong First Medical University&Shandong Academy of Medical SciencesJinan 250117China

Brine shrimp(Artemia)has existed on Earth for 400 million years and has major ecological importance in hypersaline *** a crucial live food in aquaculture,brine shrimp cysts have become one of the most important aquatic products traded ***,our understanding of the biodiversity,prevalence and global connectedness of viruses in brine shrimp is still very limited.A total of 143 batches of brine shrimp(belonging to seven species)cysts were collected from six continents including 21 countries and more than 100 geographic locations worldwide during 1977–*** total,55 novel RNA viruses were identified,which could be assigned to 18 different viral families and related *** viruses were dsRNA viruses,16 were+ssRNA viruses,and 28 were−ssRNA *** analyses of the RNA-directed RNA polymerase(RdRp)showed that brine shrimp viruses were often grouped with viruses isolated from other invertebrates and ***,most brine shrimp viruses were related to those from different hosts that might feed on brine shrimp or share the same ecological niche.A notable case was the novel brine shrimp noda-like virus 3,which shared 79.25%(RdRp)and 63.88%(capsid proteins)amino acid identity with covert mortality nodavirus(CMNV)that may cause losses in *** addition,both virome composition and phylogenetic analyses revealed global connectedness in certain brine shrimp viruses,particularly among Asia and Northern *** highlights the incredible species diversity of viruses in these ancient species and provides essential data for the prevalence of RNA viruses in the global aquaculture *** broadly,these findings provide novel insights into the previously unrecognized RNA virosphere in hypersaline ecosystems worldwide and demonstrate that human activity might have driven the global connectedness of brine shrimp viruses.

关键词： brine shrimp Artemia virus diversity novel virus discovery global connectedness hypersaline ecosystem

Ai-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence:Cases,Applications,issues,and Future Directions

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Big Data Mining and Analytics 2024年第2期7卷 445-484页

作者： Mini Han wang Lumin Xing Yi Pan Feng Gu Junbin Fang Xiangrong Yu Chi Pui Pang Kelvin Kam-Lung Chong Carol Yim-Lui Cheung Xulin Liao Xiaoxiao Fang Jie Yang Ruoyu zhou Xiaoshu zhou Fengling wang Wenjian Liu zhuhai People’s Hospital(zhuhai Hospital Affiliated with Jinan University/The First Affiliated Hospital of Faculty of Medicine Macao University of Science and Technology) Zhuhai 519000China Department of Ophthalmology and Visual Sciences The Chinese University of Hong KongHong Kong 999077China Faculty of Data Science City University of MacaoMacao 999078China zhuhai institute of Advanced Technology Chinese Academy of Sciences Zhuhai 519000China Perspective Technology Group Zhuhai 519000China First Affiliated Hospital of Shandong First Medical University Shandong Provincial Qianfoshan Hospital Jinan 250000China Shenzhen institute of Advanced Technology Chinese Academy of SciencesShenzhen 518000China College of Staten island The City University of New YorkNY 10314USA Department of Optoelectronic Engineering Jinan UniversityGuangzhou 510000China zhuhai Aier Eye Hospital Zhuhai 519000China College of Artificial intelligence Chongqing Industry and Trade PolytechnicChongqing 400000China Centre for Science and Technology Exchange and Cooperation between China and Portuguese-Speaking Countries Zhuhai 519000China School of Artificial intelligence Hezhou UniversityHezhou 542899China

This study explores the potential of Artificial intelligence(Ai)in early screening and prognosis of Dry Eye Disease(DED),aiming to enhance the accuracy of therapeutic approaches for eye-care *** the promising opportunities,challenges such as diverse diagnostic evidence,complex etiology,and interdisciplinary knowledge integration impede the interpretability,reliability,and applicability of Ai-based DED detection *** research conducts a comprehensive review of datasets,diagnostic evidence,and standards,as well as advanced algorithms in Ai-based DED detection over the past five *** DED diagnostic methods are categorized into three groups based on their relationship with Ai techniques:(1)those with ground truth and/or comparable standards,(2)potential Ai-based methods with significant advantages,and(3)supplementary methods for Ai-based DED *** study proposes suggested DED detection standards,the combination of multiple diagnostic evidence,and future research directions to guide further ***,the research contributes to the advancement of ophthalmic disease detection by providing insights into knowledge foundations,advanced methods,challenges,and potential future perspectives,emphasizing the significant role of Ai in both academic and practical aspects of ophthalmology.

关键词： Artificial intelligence(Ai) ophthalmology Dry Eye Disease(DED)detection multi-source evidence

Semaphorin 7A impairs barrier function in cultured human corneal epithelial cells in a manner dependent on nuclear factor-kappa B

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international Journal of Ophthalmology(English edition) 2024年第3期17卷 444-453页

作者： Cheng-Cheng Yang Xiu-Xia Yang Xiao-Jing zhao Heng wang Zi-Han Guo Kai Jin Yang Liu Bin-Hui Li Department of Ophthalmology the Fifth Affiliated HospitalSun Yat-sen UniversityZhuhai 519000Guangdong ProvinceChina Department of Ophthalmology Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical UniversityHangzhou 310006Zhejiang ProvinceChina Eye institute of Xiamen University Fujian Provincial Key Laboratory of Ophthalmology and Visual ScienceSchool of MedicineXiamen UniversityXiamen 361005Fujian ProvinceChina

●AiM:To evaluate the role of semaphorin 7A(Sema7A)and its associated regulatory mechanisms in modulating the barrier function of cultured human corneal epithelial cells(HCEs).●METHODS:Barrier models of HCEs were treated with recombinant human Sema7A at concentrations of 0,125,250,or 500 ng/mL for 24,48,or 72h in *** electrical resistance(TEER)as well as Dextran-fluorescein isothiocyanate(FiTC)permeability assays were conducted to assess barrier *** quantify tight junctions(TJs)such as occludin and zonula occludens-1(ZO-1)at the mRNA level,reverse transcriptionpolymerase chain reaction(RT-PCR)analysis was *** was used to examine the activity of the nuclear factor-kappa B(NF-κB)signaling pathway and the production of TJs *** analyses were employed to localize the ***-linked immunosorbent assay(ELiSA)and RT-PCR were utilized to observe changes in interleukin(iL)-1β*** investigate the role of NF-κB signaling activation and iL^(-1)βin Sema7A’s anti-barrier mechanism,we employed 0.1μmol/L iκB kinase 2(iKK2)inhibitor iV or 500 ng/mL iL^(-1)receptor(iL-1R)antagonist.●RESULTS:Treatment with Sema7A resulted in decreased TEER and increased permeability of Dextran-FiTC in HCEs through down-regulating mRNA and protein levels of TJs in a time-and dose-dependent manner,as well as altering the localization of ***,Sema7A stimulated the activation of inhibitor of kappa B alpha(iκBα)and expression of iL-1β.The anti-barrier function of Sema7A was significantly suppressed by treatment with iKK2 inhibitor iV or iL-1R antagonists.●CONCLUSiON:Sema7A disrupts barrier function through its influence on NF-κB-mediated expression of TJ proteins,as well as the expression of iL-1β.These findings suggest that Sema7A could be a potential therapeutic target for the diseases in corneal epithelium.

关键词： human corneal epithelial barrier function transepithelial electrical resistance zonula occludens-1 occludin nuclear factor-kappa B

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基于差分卷积的弱光照车牌图像增强

武汉大学学报（信息科学版） 2024年第5期49卷 709-714页

作者：杨云飞汪家明吴疆程起敏王宇清华大学计算机科学与技术系北京100084 武汉大学测绘遥感信息工程国家重点实验室湖北武汉430079 中科控股集团科学技术有限公司北京100081 华中科技大学电子信息与通信学院湖北武汉430074

车牌识别作为现代化智能交通系统中重要的环节,对提升路网效率以及缓解城市交通压力等问题具有重要的社会意义,然而弱光照车牌图像识别仍然具有重大的挑战。构建了一个基于差分卷积神经网络的弱光照车牌图像增强网络,将车牌的纹理信息... 详细信息

车牌识别作为现代化智能交通系统中重要的环节,对提升路网效率以及缓解城市交通压力等问题具有重要的社会意义,然而弱光照车牌图像识别仍然具有重大的挑战。构建了一个基于差分卷积神经网络的弱光照车牌图像增强网络,将车牌的纹理信息解耦为水平垂直和对角线两个方向,对不同尺度空间的低照度图像进行纹理增强。为了避免增强结果局部过曝或低曝,该方法使用YCbCr颜色空间的损失函数来优化模型。图像增强实验结果表明,所提出的方法较传统的低照度图像增强方法相比,图像客观质量结果峰值信噪比提升了0.47 dB。同时,在仿真车牌和真实场景的车牌识别实验结果也证明了所提算法对于低照度图像感知质量提升的有效性。

关键词：低照度增强差分卷积车牌识别

inconel 718合金辐照损伤研究进展

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稀有金属 2024年第4期48卷 552-563页

作者：杨大伟钱进王鑫中国原子能科学研究院反应堆工程技术研究所北京102413

inconel 718合金是一种在核能领域广泛应用的耐高温,耐腐蚀的材料。在反应堆中,燃料组件是其核心部件,而材料的辐照损伤研究是保证燃料组件安全和可靠运行的重要一环。反应堆材料经过辐照后不仅引起材料的微观结构发生变化,而且会导致... 详细信息

inconel 718合金是一种在核能领域广泛应用的耐高温,耐腐蚀的材料。在反应堆中,燃料组件是其核心部件,而材料的辐照损伤研究是保证燃料组件安全和可靠运行的重要一环。反应堆材料经过辐照后不仅引起材料的微观结构发生变化,而且会导致材料力学性能改变。inconel718合金是一种典型的镍基合金,具有高强度、耐高温、抗蠕变和抗氧化性能等多重优势,在反应堆材料中被广泛应用。辐照后的inconel 718合金会产生缺陷,如位错环、空位、间隙原子、气泡、位错线等,引起材料的物理、机械性能变化。从反应堆材料辐照损伤的角度综述inconel 718合金在离子、质子和中子辐照等方面的研究进展,为开发新的抗辐照合金以及探索不同辐照方式对该合金的影响提供数据支持。

关键词：燃料组件辐照损伤 inconel 718合金研究进展