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Nuclear Science and Techniques 2024年第5期35卷 173-185页

作者： He-Lin Gong Han Li dunhui xiao Sibo Cheng Paris Elite Institute of Technology Shanghai Jiao Tong UniversityShanghai 200240China School of Mathematical Sciences Tongji UniversityShanghai 200092China Department of Computing Data Science InstituteImperial College LondonLondon SW72AZUK

The aging of operational reactors leads to increased mechanical vibrations in the reactor *** vibration of the incore sensors near their nominal locations is a new problem for neutronic field *** field-reconstruction methods fail to handle spatially moving *** this study,we propose a Voronoi tessellation technique in combination with convolutional neural networks to handle this *** from movable in-core sensors were projected onto the same global field structure using Voronoi tessellation,holding the magnitude and location information of the *** convolutional neural networks were used to learn maps from observations to the global *** proposed method reconstructed multi-physics fields(including fast flux,thermal flux,and power rate)using observations from a single field(such as thermal flux).Numerical tests based on the IAEA benchmark demonstrated the potential of the proposed method in practical engineering applications,particularly within an amplitude of 5 cm around the nominal locations,which led to average relative errors below 5% and 10% in the L_(2) and L_(∞)norms,respectively.

关键词： Voronoi tessellation Field reconstruction Nuclear reactors Reactor physics On-line monitoring

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems:A Review

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IEEE/CAA Journal of Automatica Sinica 2023年第6期10卷 1361-1387页

作者： Sibo Cheng César Quilodrán-Casas Said Ouala Alban Farchi Che Liu Pierre Tandeo Ronan Fablet Didier Lucor Bertrand Iooss Julien Brajard dunhui xiao Tijana Janjic Weiping Ding Yike Guo Alberto Carrassi Marc Bocquet Rossella Arcucci Data Science Institute Department of ComputingImperial College LondonSW72AZ London Department of Earth Science and Engineering Imperial College LondonSW72AZ London Department of Computer Science and Engineering Hong Kong University of Science and TechnologyHong Kong 999077China the IMT Atlantique Lab-STICCUMR CNRS 6285France and OdysseyInria/IMTFrance.P.Tandeo is also with RIKEN Center for Computational ScienceKobeJapan the CEREA École des Ponts and EDF R&Dîle-de-FranceFrance the Laboratoire Interdisciplinaire des Sciences du Numérique CNRSParis-Saclay UniversityF-91403OrsayFrance the Electricitéde France(EDF) 78401 ChatouFranceInstitut de Mathématiques de Toulouse31062 ToulouseFrance and SINCLAIR AI LabSaclayFrance the Sorbonne University ParisFranceand also with Nansen Environmental and Remote Sensing Center(NERSC)BergenNorway the School of Mathematical Sciences Tongji UniversityShanghai 200092China the Mathematical Institute for Machine Learning and Data Science KU Eichstaett-IngolstadtBavariaGermany the School of Information Science and Technology Nantong UniversityNantong 226019China the Department of Physics and Astronomy“Augusto Righi” University of Bologna40124 BolognaItaly

Data assimilation(DA)and uncertainty quantification(UQ)are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal *** applications span from computational fluid dynamics(CFD)to geoscience and climate ***,much effort has been given in combining DA,UQ and machine learning(ML)*** research efforts seek to address some critical challenges in high-dimensional dynamical systems,including but not limited to dynamical system identification,reduced order surrogate modelling,error covariance specification and model error correction.A large number of developed techniques and methodologies exhibit a broad applicability across numerous domains,resulting in the necessity for a comprehensive *** paper provides the first overview of state-of-the-art researches in this interdisciplinary field,covering a wide range of *** review is aimed at ML scientists who attempt to apply DA and UQ techniques to improve the accuracy and the interpretability of their models,but also at DA and UQ experts who intend to integrate cutting-edge ML approaches to their ***,this article has a special focus on how ML methods can overcome the existing limits of DA and UQ,and vice *** exciting perspectives of this rapidly developing research field are also *** Terms-Data assimilation(DA),deep learning,machine learning(ML),reduced-order-modelling,uncertainty quantification(UQ).

关键词： assimilation overcome apply

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三峡库区地质灾害数据仓库的ETL技术研究

电子科技 2010年第5期23卷 18-22页

作者：蔡胤肖敦辉中国地质大学地质过程与矿产资源国家重点实验室湖北武汉430074 中国地质大学数学地质遥感地质研究所湖北武汉430074

结合三峡库区地质灾害数据仓库框架和库区数据的特点,提出了一套地质灾害数据仓库的ETL解决方案,并针对数据抽取、转换、加载等关键技术进行了研究,最后以单体地质灾害(滑坡)为例,说明了地质灾害数据仓库ETL的具体实现过程。

关键词：三峡库区地质灾害数据仓库 ETL

A Review on the Regulation of Magnetic Transitions and the Related Magnetocaloric Properties in Ni-Mn-Co-Sn Alloys

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Journal of Materials Science & Technology 2012年第3期28卷 193-199页

作者： Zhenchen Zhong Shengcan Ma dunhui Wang Youwei Du School of Material Science and Engineering Nanchang Hangkong UniversityNanchang 330063China Department of Physics Nanjing UniversityNanjing 210093.China

In Ni-Mn-X（X=In,Sn,Sb） ferromagnetic shape memory alloys,a ferromagnetic transition from paramagnetic to ferromagnetic austenite and a martensitic transformation from ferromagnetic austenite to weak magnetic martensite occur in some particular composition ranges,in which abundant physical properties have been observed by the abrupt change of magnetization and resistivity around their transition temperatures in these ***,tuning the martensitic transformation temperature（TM） and enlarging the workingtemperature interval for Ni-Mn-X（X=In,Sn,Sb） alloys,are of great *** the present paper,we will focus on the effect of external factors,including pre-deformation,annealing,and high pressure annealing,on the magnetic transitions and the related magnetocaloric properties in Ni-Mn-Co-Sn ferromagnetic shape memory *** approaches and the main results in this particular field will be reviewed.

关键词： Martensitic transformation Magnetocaloric properties Pre-deformation Annealing High pressure annealing

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review

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Electric-Field-Treated Ni/Co_(3)O_(4) Film as High-Performance Bifunctional Electrocatalysts for Efficient Overall Water Splitting

IEEE/CAA Journal of Automatica Sinica 2023年第6期

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Nano-Micro Letters 2022年第9期14卷 160-173页

作者： Junming Li Jun Li Jun Ren Hong Hong Dongxue Liu Lizhe Liu dunhui Wang National Laboratory of Solid State Microstructures Collaborative Innovation Center of Advanced MicrostructuresJiangsu Provincial Key Laboratory for NanotechnologySchool of PhysicsNanjing UniversityNanjing 210093People’s Republic of China Hangzhou Dianzi University Hangzhou 310018People’s Republic of China

Rational design of bifunctional electrocatalysts for oxygen evolution reaction(OER)and hydrogen evolution reaction(HER)with excellent activity and stability is of great significance,since overall water splitting is a promising technology for sustainable conversion of clean ***,most electrocatalysts do not simultaneously possess optimal HER/OER activities and their electrical conductivities are intrinsically low,which limit the development of overall water *** this paper,a strategy of electric field treatment is proposed and applied to Ni/Co_(3)O_(4) film to develop a novel bifunctional *** treated by electric field,the conductive channels consisting of oxygen vacancies are formed in the Co_(3)O_(4) film,which remarkably reduces the resistance of the system by almost 2×10^(4) ***,the surface Ni metal electrode is partially oxidized to nickel oxide,which enhances the catalytic *** electric-field-treated Ni/Co_(3)O_(4) material exhibits super outstanding performance of HER,OER,and overall water splitting,and the catalytic activity is significantly superior to the state-of-the-art noble metal catalysts(Pt/C,RuO_(2),and RuO_(2)‖Pt/C couple).This work provides an effective and feasible method for the development of novel and efficient bifunctional electrocatalyst,which is also promising for wide use in the field of catalysis.

关键词： Bifunctional electrocatalyst Overall water splitting Co_(3)O_(4)film Oxygen vacancies Electric field

Study of Magnetic Entropy Changes in Gd1-x Tx ( T = Ti, Cr, Fe and Cu) Alloys

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Journal of Rare Earths 2004年第z1期22卷 66-68页

作者： Wang dunhui Huang Songling Han Zhida Zhang Jianrong Du Youwei National Laboratory of Solid State Microstructures Department of Physics Nanjing University Nanjing 210093 China

Magnetic refrigeration techniques based on the magnetocaloric effect (MCE) were demonstrated as a promising alternative to conventional vapour-cycle ***, scientists focused their research on room temperature magnetic *** rare earth Gd metal is regarded as a prototype for room temperature magnetic *** the various requirements in application, it is necessary to search for the magnetic refrigerant possessing qualities as good as Gd but having different Tc above or below room *** this article, we report the magnetic entropy changes in Gd1 -xTx(T = Ti, Cr, Fe and Cu) *** a small quantity of T atoms introduced in Gd, the Curie temperature *** values of magnetic entropy change in these alloys are almost the same as or a little less than that of *** the refrigerant capacities of these alloys are obviously larger than that of *** these facts suggest that Gd1-xTx(T = Ti, Cr, Fe and Cu) alloys may be good refrigerants for room temperature magnetic refrigeration.

关键词： magnetic entropy change rare earths

Methylation status of DJ-1 in leukocyte DNA of Parkinson’s disease patients

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Translational Neurodegeneration 2016年第1期5卷 33-39页

作者： Yuyan Tan Li Wu dunhui Li xiaoli Liu Jianqing Ding Shengdi Chen Department of Neurology and Institute of NeurologyRuijin Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200025China Department of Neurology Shanghai Ninth People’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200011China Parkinson’s Disease Center Beijing Institute for Brain DisordersBeijing 100069China

Background:DJ-1 has been thought as a candidate biomarker for Parkinson’s disease(PD).It was found reduced in PD brains,CSF and saliva,although there were conflicting *** DJ-1 expression may be regulated is not ***,blood-based DNA methylation represents a highly promising biomarker for PD by regulating the causative gene ***,in this study,we try to explore whether blood-based DNA methylation of DJ-1 could be used as a biomarker to differentiate PD patients from normal control(NC),and whether DNA methylation could regulate DJ-1 expression in a SH-SY5Y cell ***:Forty PD patients and 40 NC were recruited in this *** was extracted from peripheral blood leukocytes(PBLs).Methylation status of two CpG islands(CpG1 and CpG2)in promoter region of DJ-1 was explored by bisulfite specific PCR-based sequencing *** inhibitor 5-Aza-dC was used to treat SH-SY5Y cell line,DJ-1 level was detected in both mRNA and protein ***:CpG sites in these two CpG islands(CpG1 and CpG2)of DJ-1 were unmethylated in both PD and NC *** SH-SY5Y cell model treated by methylation inhibitor,there was no significant change of DJ-1 expression in either mRNA level or protein ***:Our results indicated that DNA methylation inhibitor didn’t alter DJ-1 gene expression in SH-SY5Y cell model,and DNA methylation of DJ-1 promoter region in PBLs level might not be an efficient biomarker for PD patients.

关键词： Parkinson’s disease DJ-1 DNA methylation Peripheral blood leukocytes

Neurodegenerative diseases:a hotbed for splicing defects and the potential therapies

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Translational Neurodegeneration 2021年第2期10卷 195-212页

作者： dunhui Li Craig Stewart McIntosh Frank Louis Mastaglia Steve Donald Wilton May Thandar Aung-Htut Centre for Molecular Medicine and Innovative Therapeutics Health Futures InstituteMurdoch UniversityPerthWestern AustraliaAustralia Perron Institute for Neurological and Translational Science Centre for Neuromuscular and Neurological DisordersThe University of Western AustraliaPerthWestern AustraliaAustralia

Precursor messenger RNA(pre-mRNA)splicing is a fundamental step in eukaryotic gene expression that systematically removes non-coding regions(introns)and ligates coding regions(exons)into a continuous message(mature mRNA).This process is highly regulated and can be highly flexible through a process known as alternative splicing,which allows for several transcripts to arise from a single gene,thereby greatly increasing genetic plasticity and the diversity of *** splicing is particularly prevalent in neuronal cells,where the splicing patterns are continuously changing to maintain cellular homeostasis and promote neurogenesis,migration and synaptic *** continuous changes in splicing patterns and a high demand on many cis-and trans-splicing factors contribute to the susceptibility of neuronal tissues to splicing *** resultant neurodegenerative diseases are a large group of disorders defined by a gradual loss of neurons and a progressive impairment in neuronal *** of the most common neurodegenerative diseases involve some form of splicing defect(s),such as Alzheimer’s disease,Parkinson’s disease and spinal muscular *** growing understanding of RNA splicing has led to the explosion of research in the field of splice-switching antisense oligonucleotide *** we review our current understanding of the effects alternative splicing has on neuronal differentiation,neuronal migration,synaptic maturation and regulation,as well as the impact on neurodegenerative *** will also review the current landscape of splice-switching antisense oligonucleotides as a therapeutic strategy for a number of common neurodegenerative disorders.

关键词： Neurodegenerative diseases Parkinson’s disease Alzheimer’s disease Alternative splicing Splicing defects Antisense oligonucleotides Splice-switching Disease-modifying treatment

The predictive value of SS-16 in clinically diagnosed Parkinson’s disease patients:comparison with ^(99m)Tc-TRODAT-1 SPECT scans

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Translational Neurodegeneration 2016年第1期5卷 126-130页

作者： Wenyan Kang Fangyi Dong dunhui Li Thomas J.Quinn Shengdi Chen Jun Liu Department of Neurology&Institute of Neurology Ruijin Hospital affiliated to Shanghai Jiaotong University School of MedicineShanghaiChina Department of Neurology Ruijin Hospital North affiliated to Shanghai Jiaotong University School of MedicineShanghaiChina Department of Radiation Oncology Beaumont Health SystemRoyal OakMI 48073USA

Background:Dopamine transporter based imaging has high diagnostic performance in distinguishing patients with Parkinson’s disease(PD)from patients with non-Parkinsonian *** previous study indicated that the“Sniffin’Sticks”odor identification test(SS-16)acts as a valid instrument for olfactory assessment in Chinese PD *** aim of the study was to compare the efficacy of the two methods in diagnosing ***:Fifty-two PD patients were involved in this study and underwent single photon emission computed tomography(SPECT)imaging using the labeled dopamine transporter radiotracer ^(99)mTc-TRODAT-1 to assess nigrostriatal dopaminergic *** function was assessed with the“Sniffin’Sticks”odor identification test(SS-16)in all patients who received DAT-SPECT *** analysis(SPSS version 21)was carried out to determine the diagnostic accuracy of SS-16 as well as its correlation with ^(99)mTc-TRODAT-1 SPECT,its positive predictive value(PPV),and negative predictive value(NPV).Results:We identified a negative correlation between SS-16 and DAT SPECT(Kappa=0.269,p=0.004).By using the ^(99)mTc-TRODAT-1 uptake results as the gold standard,the sensitivity and specificity of SS-16 was 56.8 and 37.5%,***,the negative and positive predictive values were calculated as 13.6 and 83.3%,***:SS-16 would not be used as a diagnostic tool for early stage PD *** results of SS-16 would not exclude the diagnosis of *** tests are needed for validation.

关键词： Parkinson’s disease DAT-SPECT SS-16