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157篇 您的检索式:作者名="Dieu"
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1A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling:A case study in the Himalayan area, India显示文摘In this paper, a hybrid machine learning ensemble approach namely the Rotation Forest based Radial Basis Function(RFRBF) neural network is proposed for spatial prediction of landslides in part of the Himalayan area(India). The proposed approach is an integration of the Radial Basis Function(RBF) neural network classifier and Rotation Forest ensemble, which are state-of-the art machine learning algorithms for classification problems. For this purpose, a spatial database of the study area was established that consists of 930 landslide locations and fifteen influencing parameters(slope angle, road density, curvature, land use, distance to road, plan curvature, lineament density, distance to lineaments, rainfall,distance to river, profile curvature, elevation, slope aspect, river density, and soil type). Using the database, training and validation datasets were generated for constructing and validating the model. Performance of the model was assessed using the Receiver Operating Characteristic(ROC) curve, area under the ROC curve(AUC), statistical analysis methods, and the Chi square test. In addition, Logistic Regression(LR), Multi-layer Perceptron Neural Networks(MLP Neural Nets), Na(?)ve Bayes(NB), and the hybrid model of Rotation Forest and Decision Trees(RFDT) were selected for comparison. The results show that the proposed RFRBF model has the highest prediction capability in comparison to the other models(LR, MLP Neural Nets, NB, and RFDT); therefore, the proposed RFRBF model is promising and should be used as an alternative technique for landslide susceptibility modeling.Binh Thai Pham Ataollah Shirzadi Dieu Tien Bui Indra Prakash M.B.Dholakia 2018International Journal of Sediment Research2018,33,2:14
2生命质量8条简明量表中文版在糖尿病患者生命质量测量中的应用显示文摘目的探讨生命质量8条简明量表(SF-8)中文版用于糖尿病患者健康相关生命质量评价的可行性,为糖尿病患者生命质量的研究中使用SF-8量表作为测量工具提供依据。方法于2015年11-12月选取在天津市8家医院就诊的5662例糖尿病患者进行问卷调查(包括性别、年龄和糖尿病相关资料等)和体格检查(身高、体重、腰围和臀围),并采用SF-8量表对患者进行生命质量测评。用R语言3.3.3进行统计描述,计算克朗巴赫α系数(Cronbach’sα),进行Spearman相关分析和因子分析。结果本次调查SF-8量表的Cronbach’sα为0.909。Spearman分析结果显示,整体健康情况(GH)、生理功能情况(PF)、生理职能情况(RP)、疼痛情况(BP)、活力(VT)、社交功能情况(SF)、情感职能情况(RE)和精神健康情况(MH)各维度得分与总分均呈现正相关,相关系数分别为0.682、0.798、0.801、0.717、0.764、0.808、0.806和0.802。因子分析提取出1个公因子(特征值为4.52),其累计方差贡献率为56.4%。结论将SF-8量表用于评价中国糖尿病患者健康相关生命质量具有较好的信度和效度,可为临床医生制定糖尿病治疗方案提供参考依据,从而提高糖尿病患者的生命质量。赵浩佐 韩朵兰 高飞 王旭颖 BUI THI HUYEN DIEU 李长平 崔壮 刘媛媛 马骏 2018中国慢性病预防与控制2018,26,5:8
3Fractal characterization of sediment particle-size distribution in the water-level fluctuation zone of the Three Gorges Reservoir, China显示文摘The combined effect of periodic water impoundment and seasonal natural flood events has created a 30 m high water-level fluctuation zone(WLFZ) around the Three Gorges Reservoir(TGR), China, forming a unique eco-landscape. Siltation, eutrophication, enrichment of heavy metals, and methane emissions in the WLFZ have been widely associated with sediment and soil particles generated from the upstream catchment or upland slopes. However, little attention has been paid to the complexity of sediment particle-size distributions in the WLFZ. In the present study, core samples(from a 345 cm thick sediment core from the base of the WLFZ), slope transect surface samples(across/up a WLFZ slope), and along-river/longitudinal surface samples(from the reservoir reaches) were collected. Laser granulometry and a volume-based fractal model were used to reveal the characteristics of sediment particle-size distributions. Results indicate that the alternation of coarse and fine particles in the sedimentary core profile is represented as a fluctuation of low and high values of fractal dimension(D), ranging from 2.59 to 2.77. On the WLFZ slope transect, surface sediment particles coarsen with increasing elevation, sand content increases from 3.3% to 78.5%, and D decreases from 2.76 to 2.53. Longitudinally, surface sediments demonstrate a downstream-fining trend, and D increases gradually downstream. D is significantly positively correlated with the fine particle content. We conclude that D is a useful measure for evaluating sediment particle-size distribution.LI Jin-lin BAO Yu-hai WEI Jie HE Xiu-bin TANG Qiang Jean de Dieu NAMBAJIMANA 2019Journal of Mountain Science2019,16,9:5
4Deep learning neural networks for spatially explicit prediction of flash flood probability显示文摘Flood probability maps are essential for a range of applications,including land use planning and developing mitigation strategies and early warning systems.This study describes the potential application of two architectures of deep learning neural networks,namely convolutional neural networks(CNN)and recurrent neural networks(RNN),for spatially explicit prediction and mapping of flash flood probability.To develop and validate the predictive models,a geospatial database that contained records for the historical flood events and geo-environmental characteristics of the Golestan Province in northern Iran was constructed.The step-wise weight assessment ratio analysis(SWARA)was employed to investigate the spatial interplay between floods and different influencing factors.The CNN and RNN models were trained using the SWARA weights and validated using the receiver operating characteristics technique.The results showed that the CNN model(AUC=0.832,RMSE=0.144)performed slightly better than the RNN model(AUC=0.814,RMSE=0.181)in predicting future floods.Further,these models demonstrated an improved prediction of floods compared to previous studies that used different models in the same study area.This study showed that the spatially explicit deep learning neural network models are successful in capturing the heterogeneity of spatial patterns of flood probability in the Golestan Province,and the resulting probability maps can be used for the development of mitigation plans in response to the future floods.The general policy implication of our study suggests that design,implementation,and verification of flood early warning systems should be directed to approximately 40%of the land area characterized by high and very susceptibility to flooding.Mahdi Panahi Abolfazl Jaafari Ataollah Shirzadi Himan Shahabi Omid Rahmati Ebrahim Omidvar Saro Lee Dieu Tien Bui 2021Geoscience Frontiers2021,12,3:4
5Comparison of machine learning models for gully erosion susceptibility mapping显示文摘Gully erosion is a disruptive phenomenon which extensively affects the Iranian territory,especially in the Northern provinces.A number of studies have been recently undertaken to study this process and to predict it over space and ultimately,in a broader national effort,to limit its negative effects on local communities.We focused on the Bastam watershed where 9.3%of its surface is currently affected by gullying.Machine learning algorithms are currently under the magnifying glass across the geomorphological community for their high predictive ability.However,unlike the bivariate statistical models,their structure does not provide intuitive and quantifiable measures of environmental preconditioning factors.To cope with such weakness,we interpret preconditioning causes on the basis of a bivariate approach namely,Index of Entropy.And,we performed the susceptibility mapping procedure by testing three extensions of a decision tree model namely,Alternating Decision Tree(ADTree),Naive-Bayes tree(NBTree),and Logistic Model Tree(LMT).We dichotomized the gully information over space into gully presence/absence conditions,which we further explored in their calibration and validation stages.Being the presence/absence information and associated factors identical,the resulting differences are only due to the algorithmic structures of the three models we chose.Such differences are not significant in terms of performances;in fact,the three models produce outstanding predictive AUC measures(ADTree=0.922;NBTree=0.939;LMT=0.944).However,the associated mapping results depict very different patterns where only the LMT is associated with reasonable susceptibility patterns.This is a strong indication of what model combines best performance and mapping for any natural hazard-oriented application.Alireza Arabameri Wei Chen Marco Loche Xia Zhao Yang Li Luigi Lombardo Artemi Cerda Biswajeet Pradhan Dieu Tien Bui 2020Geoscience Frontiers2020,11,5:3
6Genetic analysis of ORF5 porcine reproductive and respiratory syndrome virus isolated in Vietnam显示文摘Thi Dieu Thuy N Thi Thu N Son N G 2013Microbiology and immunology2013,57,7:1
7Upregulate of pentaxin-3 in human endothelial cells after lysophosphatidic acid exposure显示文摘GUSTIN C DELAIVE E DIEU M 2008Arterioscler Thromb Vasc Biol2008,28,:1
8Selective recruitment of immature and mature dendritic cells by distinct chemokines expressed in different anatomic sites显示文摘Dieu MC Vanbervliet B Vicari A 1998J Exp Med1998,188,2:1
9Selective recruitment of immature and mature dendritic cells by distinct chemokines expressed in different anatomic sites显示文摘Dieu MC Vanbervliet B Vicari A 1998J Exp Med1998,188,:1
10IL-10 Induces CCR6 expression during langerhans cell development while IL--4 and IFN gamma suppress It 显示文摘Dieu Nosjean M C Massacrier C Vanbervliet B 2001J Immunol2001,167,10:1
11Proteomie profiling of human keratinocytes undergoing UVB-induced alternative differentiation reveals TRipartite Motif Protein 29 as a survival factor显示文摘Bertrand-Vallery V Belot N Dieu M 2010PLoS One2010,5,10:1
12Selective recruitment of immature and mature dendritic cells by distinct chemokines expressed in different anatomic sites显示文摘Dieu MC Vanbervliet B Vicari A 1998J Exp Med1998,188,2:1
13Toeplitz and Hankel operators with LI , symbols on Dirichlet space显示文摘Cheu Y Dieu N Q 2010J Math Anal Appl2010,369,:1
14The effects of slash management on nutrient cycling and tree growth in Eucalyptus plantations in the Congo 显示文摘DE DIEU NZILA J BOUILLET J P LACLAU J P 2002Forest Ecology and Management2002,171,:1
15Selective re- cruitment of immature and mature dendritic cells by distinct chemokines expressed in different anatomic sites 显示文摘Dieu MC Vanbervliet B Vicari A 1998J Exp Med1998,188,2:1
16Selective recruitment of immature and mature dendritic cells by distinct chemokines expressed in different anatomic sites 显示文摘Dieu MC Vanbervliet B Vicari A 1998J Exp Med1998,188,2:1
17Upregulation of pentraxin- 3 in human endothelial cells after lysophospha tidic acid exposure 显示文摘GUSTIN C DELA VE E DIEU M 2008A rterioscler Thromb Vase Bio2008,28,3:1
18Dual and opposing roles of EIN3 reveal a generation conflict during seed growth显示文摘Seed size critically affects grain yield of crops and hence represents a key breeding target.The develop-ment of embryo-nourishing endosperm is a key driver of seed expansion.We here report unexpected dual roles of the transcription factor EIN3 in regulating seed size.These EIN3 functions have remained largely undiscovered because they oppose each other.Capitalizing on the analysis of multiple ethylene biosynthesis mutants,we demonstrate that EIN3 represses endosperm and seed development in a pathway regulated by ethylene.We,in addition,provide evidence that EIN3-mediated synergid nucleus disintegration promotes endosperm expansion.Interestingly,synergid nucleus disintegration is not affected in various ethylene biosynthesis mutants,suggesting that this promoting function of EIN3 is inde-pendent of ethylene.Whereas the growth-inhibitory ethylene-dependent EIN3 action appears to be encoded by sporophytic tissue,the growth-promoting role of EIN3 is induced by fertilization,revealing a generation conflict that converges toward the key signaling component EIN3.Juliane Heydlauff Isil Erbasol Serbes Dieu Vo Yanbo Mao Sonja Gieseking Thomas Nakel Theresa Harten Ronny Völz Anja Hoffmann Rita GroΒ-Hardt 2022Molecular Plant2022,15,2:1
19Inhibition of the differentiation of dendritic cells from CD34 + progenitors by tumor cells:role of interleukin-6 and macrophage colonystimulating factor显示文摘Menetrier Caux C Montmain G Dieu MC 1998Blood1998,92,12:1
20Enhanced production techniques, properties and uses of coenzyme Q10显示文摘Jean Dieu Ndikubwimana Byong H. Lee 2014Biotechnology Letters2014,,:1
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