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12篇 您的检索式:作者名="Benoit ME"
    题名 作者 年代 出处 被引量
1输尿管及膀胱深部浸润型子宫内膜异位症的手术治疗效果显示文摘目的报告泌尿道子宫内膜异位症的手术治疗效果以及探讨保守型手术和根治性手术的选择。方法对5个手术科室参与的输尿管或膀胱深部浸润型子宫内膜异位症外科治疗的CIRENDO前瞻性数据库管理数据进行回顾性研究。对术前、术中和术后数据结果进行分析。结果数据库中的数据显示,30例中有15例为输尿管子宫内膜异位症,14例为膀胱结节病变(bladder nodules),1例同时存在这2种类型的病变。输尿管松解术14例,其中输尿管完全恢复解剖解构10例。4例40岁以上的患者术后出现闭经和可忍受的中度输尿管狭窄,其中3例好转,1例行二次输尿管切除和输尿管膀胱吻合术。4例初次手术行输尿管切除术。5例输尿管标本中发现2例输尿管子宫内膜异位症。4例并发症中有2例与输尿管结节病灶切除有关,2例与膀胱子宫内膜异位病灶切除有关。远期效果较为满意,如疼痛症状显著改善、泌尿系不适症状消失,仅有1例较长时间膀胱神经功能障碍。结论建议保守性手术联合术后假绝经疗法治疗大多数泌尿道子宫内膜异位症。尽管总体结果满意,由于术中可能同时施行其他一些复杂手术如结直肠手术,术后并发症的风险仍不容忽视。陈旭 刘彦 Francisc Rozsnyai Horace Roman Benoit Resch Fabrice Dugardin Juan Berrocal Gérme Descargues Remi Schmied Malik Boukerrou Loc Marpeau CIRENDO Study Group 2013中国微创外科杂志2013,13,2:3
2Autoregressive neural networks with exogenous variables for indoor temperature prediction in buildings显示文摘Thermal models of buildings are helpful to forecast their energy use and to enhance the control of their mechanical systems.However,these models are building-specific and require a tedious,error-prone and time-consuming development effort relying on skilled building energy modelers.Compared to white-box and gray-box models,data-driven(black-box)models require less development time and a minimal amount of information about the building characteristics.In this paper,autoregressive neural network models are compared to gray-box and black-box linear models to simulate indoor temperatures.These models are trained,validated and compared to actual experimental data obtained for an existing commercial building in Montreal(QC,Canada)equipped with roof top units for air conditioning.Results show that neural networks mimic more accurately the thermal behavior of the building when limited information is available,compared to gray-box and black-box linear models.The gray-box model does not perform adequately due to its under-parameterized nature,while the linear models cannot capture non-linear phenomena such as radiative heat transfer and occupancy.Therefore,the neural network models outperform the alternative models in the presented application,reaching a coefficient of determination R2 up to 0.824 and a root mean square error down to 1.11℃,including the error propagation over time for a 1-week period with a 5-minute time-step.When considering a 50-hour time horizon,the best neural networks reach a much lower root mean square error of around 0.6℃,which is suitable for applications such as model predictive control.Benoit Delcroix Jérôme Le Ny Michel Bernier Muhammad Azam Bingrui Qu Jean-Simon Venne 2021Building Simulation2021,14,1:3
3Role of free radicals in ischemia-reperfusion injury to the liver显示文摘Adkinson D Hoellwarth ME Benoit JN 1986Acta Physiol Scand1986,548,:1
4CML9, an Arabidopsis calmodulin‐like protein, contributes to plant innate immunity through a flagellin‐dependent signalling pathway显示文摘Louis‐Jér?me Leba Cécilia Cheval Inmaculada Ortiz‐Martín Benoit Ranty Carmen R. Beuzón Jean‐Philippe Galaud Didier Aldon 2012The Plant Journal2012,,6:1
5Complement protein Clq-mediated neuropro- tection is correlated with regulation of neuronal gene and microRNA expression 显示文摘Benoit ME Tenner AJ 2011J Neurosci2011,31,9:1
6Intercalary Segmental Reconstruction of Long Bones After Malignant Bone Tumor Resection Using Primary Methyl Methacrylate Cement Spacer Interposition and Secondary Bone Grafting: The Induced Membrane Technique显示文摘Thierry Villemagne Christian Bonnard Franck Accadbled Mohamed L?Kaissi Benoit de Billy Jér?me Sales de Gauzy 2011Journal of Pediatric Orthopaedics2011,,5:1
7Decision-making and cogni- tive abilities: A review of associations between Iowa Gambling Task performance, executive functions, and intelligence 显示文摘Toplak ME Sorge GB Benoit A 2010Clinical Psy- chology Review2010,30,5:1
8Monitoring Phonological Key Stages and Cycle Duration of Temperate Deciduous Forest Ecosystems with NOAA/AVHRR Data显示文摘BENOIT Duehemin JRme Goubier GASTON Courrier 1999Remote Sensing of Environment1999,67,:1
9Controlling mesenchymal stem cell gene expression using polymer-mediated delivery of siRNA显示文摘Benoit IB Boutin ME 2012Biomacromolecules2012,3,11:1
10Control ing mesenchymal stem cellgene expression using polymer-mediated delivery of siRNA显示文摘Benoit DS Boutin ME 0,,11:1
11Decision-making and cognitive abilities: A review of associations between Iowa Gam- bling Task performance, executive functions, and intelligence显示文摘Toplak ME Sorge GB Benoit A 2010Clin Psychol Rev2010,30,5:1
12Spatio-Temporal evolutive Data Infrastructure: a Spatial Data Infrastructure for managing data flows of Territorial Statistical Information显示文摘The observation of demographical,economical or environmental indicators over time through maps is crucial.It enables analysing territories and helps stakeholders to take decisions.However,the understanding of Territorial Statistical Information(TSI)is compromised unless comprehensive description of both the statistical methodology used and the spatial and temporal references are given.Thus,in this paper,we stress the importance of metadata descriptions and of their quality that helps assessing data reliability.Furthermore,time-series of such TSI are paramount.They enable analysing a territory over a long period of time and likewise judging the effectiveness of reforms.In light of these observations,we present Spatio-Temporal evolutive Data Infrastructure(STeDI)an innovative Spatial Data Infrastructure(SDI)that enriches the description of a Digital Earth,providing a virtual representation of territories and of their evolution through statistics and time.STeDI aims at managing a whole dataflow of multi-dimensional,multi-scale and multi-temporal TSI,from their acquisition to their dissemination to scientists and policy-makers.The content of this SDI evolves autonomously thanks to automated processes and to a Web platform that help improving the quality of datasets uploaded by experts.Then,STeDI allows visualizing up-to-date time-series reflecting the human activities on a given territory.It helps policy-makers in their decision-making process.Camille Bernard Marlène Villanova-Oliver Jérôme Gensel Benoit Le Rubrus 2017International Journal of Digital Earth2017,10,3:0
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