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Time-first approach for land cover mapping using big Earth observation data time-series in a data cube-a case study from the Lake Geneva region(switzerland)

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Big Earth Data 2024年第3期8卷 435-466页

作者： gregory Giuliani Institute for Environmental sciences EnviroSPACE labUniversity of GenevaGenevaSwitzerland United Nations Environment Programme Division of Early Warning and AssessmentGenevaSwitzerland

Accurate,consistent,and high-resolution Land Use&Cover(LUC)information is fundamental for effectively monitoring landscape dynamics and better apprehending drivers,pressures,state,and impacts on land ***,the availability of such national products with high thematic accuracy is still limited and consequently researchers and policymakers are constrained to work with data that do not necessarily reflect on-the-ground realities impending to correctly capture details of landscape features as well as limiting the identification and quantification of drivers and rate of ***,we took advantage of the switzerland’s official LUC statistical sampling survey and dense time-series of sentinel-2 data,combining them with Machine and Deep Learning methods to produce an accurate and high spatial resolution land cover map over the Lake Geneva *** suggest that time-first approach is a valuable alternative to space-first approaches,accounting for the intra-annual variability of classes,hence improving classification *** demonstrate that Deep Learning methods outperform more traditional Machine Learning ones such as Random Forest,providing more accurate predictions with lower *** produced land cover map has a high accuracy,an improved spatial resolution,while at the same time preserving the statistical significance(*** proportion)of the official national *** work paves the way towards the objective to produce a yearly high resolution land cover map of switzerland and potentially implement a continuous land change monitoring *** further work is required to properly address challenges such as the need for increased temporal resolution for LUC information or the quality of training samples.

关键词： Land cover sentinel-2 timeseries sITs Arealstatistik

Risk prediction of advanced colorectal neoplasia varies by race and neighbourhood socioeconomic status

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Family Medicine and Community Health 2024年第S02期12卷 26-33页

作者： Xiangqing sun Zhengyi Chen gregory s Cooper Nathan A Berger Claudia Coulton Li Li Department of Family Medicine University of VirginiaCharlottesvilleVirginiaUSA Department of Population and Quantitative Health sciences Case Western Reserve UniversityClevelandOhioUSA University Hospitals Cleveland Medical Center ClevelandOhioUSA Case Comprehensive Cancer Center ClevelandOhioUSA Jack Joseph and Morton Mandel School of Applied Social SciencesCase Western Reserve UniversityClevelandOhioUSA

Objective Neighbourhood deprivation increases the risk of colorectal neoplasia and contributes to racial disparities observed in this *** race-specific advanced colorectal neoplasia(ACN)prediction models that include neighbourhood socioeconomic status has the potential to improve the accuracy of *** The study includes 1457 European Americans(EAs)and 936 African Americans(AAs)aged 50–80 years undergoing screening ***-specific ACN risk prediction models were developed for EAs and AAs,*** Deprivation Index(ADI),derived from 17 variables of neighbourhood socioeconomic status,was evaluated by adding it to the ACN risk prediction *** accuracy was evaluated by concordance statistic(C-statistic)for discrimination and Hosmer-Lemeshow goodness-of-fit test for *** With fewer predictors,the EA-specific and AA-specific prediction models had better prediction accuracy in the corresponding race/ethnic subpopulation than the overall *** with the overall model which had poor calibration(P_(Calibration)=0.053 in the whole population and P_(Calibration)=0.011 in AAs),the EA model had C-statistic of 0.655(95%CI 0.594 to 0.717)and P_(Calibration)=0.663;and the AA model had C-statistic of 0.637((95%CI 0.572 to 0.702)and P_(Calibration)=*** was a significant predictor of ACN in EAs(OR=1.24((95%CI 1.03 to 1.50),P=0.029),but not in AAs(OR=1.07((95%CI 0.89 to 1.28),P=0.487).Adding ADI to the EA-specific ACN prediction model substantially improved ACN calibration accuracy of the prediction across area deprivation groups(P_(Calibration)=0.924 with ADI vs P_(Calibration)=0.140 without ADI)in *** Neighbourhood socioeconomic status is an important factor to consider in ACN risk prediction ***,non-race-specific prediction models have poor ***-specific prediction models incorporating neighbourhood socioeconomic factors are needed to improve ACN predicti

关键词： colorectal neoplasia prediction

Diagnosing health in composite battery electrodes with explainable deep learning and partial charging data

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Energy and AI 2024年第2期16卷 256-268页

作者： Haijun Ruan Niall Kirkaldy gregory J.Offer Billy Wu Dyson school of Design Engineering Imperial College LondonSW72AZLondonUK Centre for E-Mobility and Clean Growth Research Coventry UniversityCoventryCV15FBUK Department of Mechanical Engineering Imperial College LondonSW72AZLondonUK The Faraday Institution Harwell Science and Innovation CampusOX110RADidcotUK

Lithium-ion batteries with composite anodes of graphite and silicon are increasingly being used. However, their degradation pathways are complicated due to the blended nature of the electrodes, with graphite and silicon degrading at different rates. Here, we develop a deep learning health diagnostic framework to rapidly quantify and separate the different degradation rates of graphite and silicon in composite anodes using partial charging data. The convolutional neural network (CNN), trained with synthetic data, uses experimental partial charging data to diagnose electrode-level health of tested batteries, with errors of less than 3.1% (corresponding to the loss of active material reaching ∼75%). sensitivity analysis of the capacity-voltage curve under different degradation modes is performed to provide a physically informed voltage window for diagnostics with partial charging data. By using the gradient-weighted class activation mapping approach, we provide explainable insights into how these CNNs work;highlighting regions of the voltage-curve to which they are most sensitive. Robustness is validated by introducing noise to the data, with no significant negative impact on the diagnostic accuracy for noise levels below 10 mV, thus highlighting the potential for deep learning approaches in the diagnostics of lithium-ion battery performance under real-world conditions. The framework presented here can be generalised to other cell formats and chemistries, providing robust and explainable battery diagnostics for both conventional single material electrodes, but also the more challenging composite electrodes.

关键词： Lithium-ion battery Composite electrode silicon Degradation diagnostic Explainable deep learning Partial charging

High Temperature Iron Ethylene Polymerization Catalysts Bearing N,N,N'-2-(1-(2,4-Dibenzhydryl-6-fluorophenylimino)ethyl)-6-(1-(arylphenylimino)ethyl)pyridines

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Chinese Journal of Polymer science 2024年第2期42卷 188-201,I0007页

作者： Chantsalnyam Bariashir Qiu-Yue Zhang Bayasgalan Ulambayar gregory A.solan Tong-Ling Liang Wen-Hua sun Institute of Chemistry and Chemical Technology Mongolian Academy of SciencesUlaanbaatar13330Mongolia Key Laboratory of Engineering Plastics and Beijing National Laboratory for Molecular science Institute of ChemistryChinese Academy of SciencesBeijing100190China Department of Chemistry University of LeicesterUniversity RoadLeicesterLE17RHUK state Key Laboratory for Oxo synthesis and selective Oxidation Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou730000China

The N,N,N'-ferrous chloride complexes,[2-{CMeN(2,4-(CHPh)_(2)-6-FC_(6)H_(2))}-6-(CMeNAr)C_(5)H_(3)N]FeCl_(2)(Ar=2,6-Me_(2)C_(6)H_(3) Fe1,2,6-Et_(2)C_(6)H_(3)Fe2,2,6-^(i)Pr_(2)C_(6)H_(3) Fe3,2,4,6-Me_(3)C_(6)H_(2) Fe4 and 2,6-Et_(2)-4-MeC_(6)H_(2) Fe5),each possessing one N-2,4-dibenzhydryl-6-fluorophenyl group,were readily synthesized from their respective unsymmetrical bis(imino)pyridines,*** identification of Fe2 highlighted the variation in the steric properties provided by the dissimilar N-aryl *** pre-treatment with either MAO or MMAO,complexes Fe1-Fe5 all displayed,at an operating temperature of 80℃,high activities for ethylene polymerization with levels falling in the order:Fe4> Fe1> Fe5> Fe2> ***,Fe4/MAO displayed the highest activity of 1.94×10^(7) g_(PE)·mol_(Fe)^(-1)·h^(-1) of the study with only a modest loss in performance at 90℃.Generally,the resulting polyethylenes were highly linear(T_(m) range:122-132℃),narrowly disperse and of low molecular weight(M_(w) range:6.73-46.04kg·mol^(-1)),with the most sterically hindered Fe3 forming the highest molecular weight polymer of the ***-group analysis by ^(1)H-and ^(13)CNMR spectroscopy revealed saturated alkyl(n-propyl and i-propyl) and unsaturated vinyl chain ends indicative of the role of both β-H elimination and chain transfer to aluminum as termination *** comparison with previou sly reported iron precatalysts with similar tridentate ligand skeletons,it is evident that the introduction of a large benzhydryl group in combination with a fluorine as the ortho-substituents of one N-aryl group has the effect of enhancing thermal stability of the iron polymerization catalyst whilst maintaining appreciable polymer molecular weight.

关键词： Iron catalyst Ethylene polymerization Linear polyethylene Fluoride effect Thermal stability

soluble epoxide hydrolase:a next-generation drug target for Alzheimer's disease and related dementias

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Neural Regeneration Research 2025年第9期20卷 2585-2586页

作者： Andrew gregory Chengyun Tang Fan Fan Department of Physiology Medical College of GeorgiaAugusta UniversityAugustaGAUSA

Alzheimer's disease(AD)and Alzheimer's diseaserelated dementias(ADRD)represent a significant public health challenge,with projections indicating a substantial increase in affected individuals due to the aging global *** the World Health Organization,AD/ADRD has affected more than 55 million individuals worldwide,with an additional 10 million cases diagnosed each year.

关键词： Alzheimer population drug

晶粒长大对高纯Al{111}/{111}近奇异晶界的影响

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金属学报 2024年第1期60卷 80-94页

作者：冯小铮王卫国 gregory s.Rohrer 陈松洪丽华林燕王宗谱周邦新福建理工大学晶界工程研究所福州350118 福建理工大学材料科学与工程学院福州350118 Department of Materials science and Engineering Carnegie Mellon UniversityPittsburghPA 15213-3890USA 上海大学材料研究所上海200072

{111}/{111}近奇异晶界较比一般晶界更耐蚀,如何提高此类晶界比例以显著提高Al及其合金晶界腐蚀抗力是一个新课题。本工作选用99.99%(质量分数)高纯Al为研究对象,考察晶粒长大对{111}/{111}近奇异晶界的影响。样品经室温多向锻造和370... 详细信息

{111}/{111}近奇异晶界较比一般晶界更耐蚀,如何提高此类晶界比例以显著提高Al及其合金晶界腐蚀抗力是一个新课题。本工作选用99.99%(质量分数)高纯Al为研究对象,考察晶粒长大对{111}/{111}近奇异晶界的影响。样品经室温多向锻造和370℃再结晶退火后,再经500℃保温不同时间,采用基于EBsD和五参数分析的晶界界面匹配表征方法对样品进行测试和分析。结果表明,随着晶粒长大,{111}/{111}近奇异晶界的比例显著增加。当平均晶粒尺寸由38μm长大至77μm时,{111}/{111}近奇异晶界的比例由3.91%增加至6.56%。离线原位EBsD和晶界迹线分析表明,晶粒长大过程中,{111}/{111}近奇异晶界主要通过具有/θ(θ为取向差转角)取向差关系的两两晶粒吞并周边晶粒并相遇后形成;具有/θ取向差关系的相邻晶粒,其晶界通过再取向调整至{111}/{111}位置,亦可形成此类近奇异晶界。{111}/{111}近奇异晶界存在旋错结构,其原子排列有序度显著高于一般晶界,这是此类晶界比一般晶界更耐蚀的原因。

关键词：高纯Al 晶粒长大近奇异晶界晶界界面匹配

The need for pre-emptive control strategies for mpox in Asia and Oceania

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Infectious Disease Modelling 2024年第1期9卷 214-223页

作者： gregory Gan AJanhavi Guan Tong Jue Tao Lim Borame L.Dickens saw swee Hock school of Public Health National University of SingaporeSingapore Lee Kong Chian school of Medicine Nanyang Technological UniversitySingapore

Introduction:The transmission dynamics of the recent mpox outbreak highlights the lack of infrastructure available to rapidly respond to novel sTI outbreaks,of which Asia and Oceania remains particularly ***,we simulate outbreaks in this setting and propose the use of pre-emptive vaccination within the men who have sex with men(MsM)community before the arrival and establishment of the *** and methods Using data driven heterogeneous sexual contact networks,we simulated outbreaks of mpox in singapore,Hong Kong,and *** individual based sEIR compartmental model was used to simulate epidemic trajectories and the impact of different vaccination uptakes was assessed in their ability to avert or suppress outbreaks upon the arrival of mpox within the MsM ***:The highly dense sexual networks of singapore and sydney experience rapid outbreaks,with infection peaks occurring at day 41 and 23 respectively,compared to Hong Kong which occurs at day *** the simulations with no vaccination,68.2%–89.7%of the MsM community will become infected with mpox across the different cities,over a simulation period of 1 *** implementing vaccination strategies,the infection rate across the cities can be reduced to as low as 3.1%of the population(range:3.1%–82.2%)depending on the implementation and uptake of the *** is also extremely effective in slowing the start of the epidemic,delaying the epidemic peak by 36–50 days in Hong Kong,or even preventing the outbreak of ***:With extremely dense and well-connected sexual contact networks,where 65.2%–83.2%of the population are connected to a super-spreader in the different contact networks,pre-emptive or immediate vaccination upon identification of the first case is strongly recommended to help better manage the outbreak of mpox and prevent potential straining of healthcare systems.

关键词： Monkeypox virus Modelling Network model Mpox Contact matrix sexual contact

高温压缩变形Al-Zn-Mg-Cu合金动态再结晶后的{111}/{111}近奇异晶界

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金属学报 2024年第9期60卷 1165-1178页

作者：刘光辉王卫国 gregory s Rohrer 陈松林燕童芳冯小铮周邦新福建理工大学晶界工程研究所福州350118 福建理工大学材料科学与工程学院福州350118 Department of Materials science and Engineering Carnegie Mellon UniversityPittsburghPA15213-3890USA 上海大学材料研究所上海200072

提高{111}/{111}近奇异晶界比例可增强Al-Zn-Mg-Cu合金晶界腐蚀抗力,为了解此类晶界形成机理并探索其调控方法,本工作将470℃、12 h和520℃、6 h双级固溶及冷轧后再结晶的Al-Zn-Mg-Cu合金样品分别在450、480和520℃进行应变速率为0.001 ... 详细信息

提高{111}/{111}近奇异晶界比例可增强Al-Zn-Mg-Cu合金晶界腐蚀抗力,为了解此类晶界形成机理并探索其调控方法,本工作将470℃、12 h和520℃、6 h双级固溶及冷轧后再结晶的Al-Zn-Mg-Cu合金样品分别在450、480和520℃进行应变速率为0.001 s^(-1)、真应变为1.20的压缩变形,压缩后立即水冷。采用电子背散射衍射和基于五参数分析的晶界界面匹配定量表征方法对上述3个样品的显微组织和晶界特征分布进行观察分析。结果表明,高温压缩后的显微组织不均匀,存在间隔分明的细晶组织和粗晶组织,其中细晶组织中的晶界以小角度晶界(LAGB)为主,粗晶组织中的晶界以大角度晶界(HAGB)为主;粗、细晶组织中的{111}/{111}近奇异晶界({111}/{111}-NsB)比例均随压缩温度的升高而增大,其中经520℃压缩的试样,其LAGB中的{111}/{111}-NsB占总晶界的比例为8.77%,HAGB中的{111}/{111}-NsB占总晶界的比例为4.53%。进一步考察各试样的应力-应变曲线以及450℃压缩30%时的显微组织特征可见,应变介于0.05~0.70为稳态流变阶段,主要发生初次动态再结晶(DRX),其主要由粗晶及其HAGB构成。应变介于0.70~1.20为二次硬化阶段,主要发生二次DRX,其中不连续DRX(DDRX)和连续DRX(CDRX)同时进行,且优先发生在某些微区;不论是DDRX因形核和核心长大生成的HAGB,还是CDRX因亚晶合并引入的LAGB,均使对应微区的晶粒细化,导致样品总体流变应力急剧上升。二次DRX阶段,CDRX行为随压缩温度的提高而增强,{111}/{111}-NsB比例也随之增加,特别是LAGB中的{111}/{111}-NsB比例快速增加。

关键词： Al-Zn-Mg-Cu合金近奇异晶界晶界界面匹配连续动态再结晶

轧制变形及再结晶00Cr12铁素体不锈钢中的{011}/{011}近奇异晶界

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中国科学：技术科学 2024年第3期54卷 459-476页

作者：黄新宇王卫国 ROHRER gregory s 徐刚陈松冯小铮张厚安陈文哲周邦新福建理工大学晶界工程研究所福州350118 福建理工大学材料科学与工程学院福州350118 Department of Materials science and Engineering Carnegie Mellon UniversityPittsburgh 15213-3890USA 厦门理工学院材料科学与工程学院厦门361024 上海大学材料研究所上海200072

不同于低层错能面心立方结构的奥氏体不锈钢,高层错能体心立方结构的铁素体不锈钢在形变及再结晶等组织重构过程中很难形成结构稳定且十分耐蚀的奇异晶界(共格孪晶界).研究{011}/{011}近奇异晶界的影响因素和形成机理,将有可能为改善铁... 详细信息

不同于低层错能面心立方结构的奥氏体不锈钢,高层错能体心立方结构的铁素体不锈钢在形变及再结晶等组织重构过程中很难形成结构稳定且十分耐蚀的奇异晶界(共格孪晶界).研究{011}/{011}近奇异晶界的影响因素和形成机理,将有可能为改善铁素体不锈钢,特别是低Cr铁素体不锈钢晶间腐蚀性能提供晶界工程新思路.本文选用经固溶处理和组织均匀化处理的00Cr12低Cr铁素体不锈钢为实验材料,5个平行试样分别在350℃,500℃,580℃,650℃和690℃进行厚度减缩量为70%的单向轧制变形后,立即进行750℃、2 h再结晶退火处理.使用基于电子背散射衍射和五参数分析的晶界界面匹配表征方法对上述样品进行测试和分析发现,轧制温度对00Cr12铁素体不锈钢再结晶{011}/{011}近奇异晶界比例有显著影响,再结晶后的{011}/{011}近奇异晶界比例随再结晶退火前轧制温度的升高先上升再下降,其中经650℃轧制的样品,其再结晶后{011}/{011}近奇异晶界比例达到极大值6.82%.取向分布函数(ODF)和重叠极图晶界迹线分析表明,经650℃轧制的样品,其再结晶组织中形成了强的{011}织构;具有{011}及其漫散取向的晶粒之间较多地存在/θ取向差关系(θ为绕的旋转角),其关联晶界为{011}/{011}近奇异晶界,这是经650℃轧制的样品,其再结晶后{011}/{011}近奇异晶界比例达到极大值的原因.离线原位表面侵蚀实验表明,{011}/{011}近奇异晶界的腐蚀抗力显著高于一般晶界.因此,基于本文研究结果,进一步调控并提高{011}/{011}近奇异晶界的比例将有助于从根本上显著改善00Cr12铁素体不锈钢晶间腐蚀性能.

关键词： 00Cr12铁素体不锈钢近奇异晶界晶界界面匹配晶间腐蚀