• La gerçure énorme » de l’être à venir chez Yves Préfontaine 

  Lepage, Èlise (Presses Universitaires du Québec, 2012)

  Dans l’article signé par Élise Lepage sur Pays sans parole (1967), d’Yves Préfontaine, on assiste au démantèlement de cet optimisme. Le corps, la parole et le territoire sont de partout craquelés, et l’aspiration verticale, ...

• Le paysage chez Robert Melançon: Entre milieu citadin et scène baroque 

  Lepage, Élise (Université Laval, 2015)

  Cet article interroge le paysage urbain dans Le paradis des apparences (2004) de Robert Melançon en mobilisant tour à tour les concepts de « milieu » (Berque) et d’« espaces mineur et majeur » (Desportes), qui invitent à ...

• Esquisse des chemins de la création chez Robert Melançon et Jacques Brault 

  Lepage, Élise (Lécole des langues et littératures de l'Université de Guelph., 2017)

  Résumé Cette étude s’intéresse au discours portant sur la création poétique dans les œuvres de Robert Melançon et de Jacques Brault, faisant ressortir certains de leurs points communs et de leurs différences. Chez Robert ...

• Le devenir paysager. De quelques paysages postindustriels entre arts visuels et poésie 

  Lepage, Èlise (University of Toronto Press, 2015)

  Abstract This essay proposes an analysis of the concept of landscape in contemporary Quebec visual arts and poetry. A brief archaeology of the landscape shows the pictorial origins of this genre, as well as the ...

• Deep Residual Networks for Hyperspectral Image Classification 

  Zhong, Zilong; Li, Jonathan; Ma, Lingfei; Jiang, Han; Zhao, He (Institute of Electrical and Electronics Engineers, 2017-07-25)

  Deep neural networks can learn deep feature representation for hyperspectral image (HSI) interpretation and achieve high classification accuracy in different datasets. However, counterintuitively, the classification ...

• Sensor Choice for Minimum Error Variance Estimation 

  Zhang, Minxin; Morris, Kirsten (Institute of Electrical and Electronics Engineers, 2017-06-12)

  A Kalman filter is optimal in that the variance of the error is minimized by the estimator. It is shown here, in an infinite-dimensional context, that the solution to an operator Riccati equation minimizes the steady-state ...

• Modeling and Stabilizability of Voltage-Actuated Piezoelectric Beams with Magnetic Effects 

  Morris, Kirsten; Özer, Ahmeẗ Ozkan̈ (Society for Industrial and Applied Mathematics, 2014-01-01)

  Models for piezoelectric beams and structures with piezoelectric patches generally ignore magnetic effects. This is because the magnetic energy has a relatively small effect on the overall dynamics. Piezoelectric beam ...

• Efficient fast Fourier transform-based numerical implementation to simulate large strain behavior of polycrystalline materials 

  Nagra, Jaspreet; Brahme, Abhijit; Lebensohn, Ricardo; Inal, Kaan (Elsevier, 2017-07-04)

  In this paper, a new full-field numerical framework is proposed to model large strain phenomena in polycrystals. The proposed framework is based on the elasto-viscoplastic (EVP) fast Fourier transform (FFT) formulation ...

• The TFOS Dry Eye Workshop II: Executive Summary 

  Craig, Jennifer P.; Nelson, J. Daniel; Azar, Dimitri T.; Belmonte, Carlos; Bron, Anthony J.; Chauhan, Sunil K.; de Paiva, Cintia S.; Gomes, José A.P.; Hammitt, Katherine M.; Jones, Lyndon W.; Nichols, Jason J.; Nichols, Kelly K.; Novack, Gary D.; Stapleton, Fiona J.; Willcox, Mark D. P.; Wolffsohn, James S.; Sullivan, David A. (Elsevier, 2017-08-07)

  This article presents an Executive Summary of the conclusions and recommendations of the 10-chapter TFOS DEWS II report. The entire TFOS DEWS II report was published in the July 2017 issue of The Ocular Surface. A downloadable ...

• Pore network modeling of reaction-diffusion in hierarchical porous particles: the effects of microstructure 

  Sadeghi, Mohammad Amin; Aghighi, Mahmoudreza; Barralet, jake; Gostick, Jeffrey Thomas (Elsevier, 2017-07-24)

  A general framework based on pore network modeling is presented for simulation of reactive transport in a porous catalyst with a hierarchy of porosity. The proposed framework is demonstrated in the context of steady state ...

• Augmented composite likelihood for copula modeling in family studies under biased sampling 

  Zhong, Yujie; Cook, Richard J. (Oxford University Press, 2016-01-27)

  The heritability of chronic diseases can be effectively studied by examining the nature and extent of within-family associations in disease onset times. Families are typically accrued through a biased sampling scheme in ...

• A Lagrangian model for hardening behaviour of materials at finite deformation based on the right plastic stretch tensor 

  Eshraghi, Amin; Jahed, Hamid; Lambert, Steve (Elsevier, 2010-05-01)

  In this paper a modified multiplicative decomposition of the right stretch tensor is proposed and used for finite deformation elastoplastic analysis of hardening materials. The total symmetric right stretch tensor is ...

• Fatigue characterization and modeling of AZ31B magnesium alloy spot-welds 

  Behravesh, Seyed Behzad; Jahed, Hamid; Lambert, Steve (Elsevier, 2014-07-01)

  Cyclic behavior of AZ31B spot-welds was studied using different specimen configurations, and compared with steel and aluminum spot-welds. Fatigue strength of magnesium spot-welds was similar to aluminum and less than steel. ...

• Characterization of magnesium spot welds under tensile and cyclic loadings 

  Behravesh, Seyed Behzad; Jahed, Hamid; Lambert, Steve (Elsevier, 2011-12-01)

  Resistance spot welds of a magnesium alloy were characterized in terms of microstructure, hardness and monotonic and cyclic properties. Microstructural features in base metal and different zones in the weld region were ...

• Microstructure, texture and mechanical behavior characterization of hot forged cast ZK60 magnesium alloy 

  Karparvarfard, S.M.H.; Shaha, Sugrib K.; Behravesh, Seyed Behzad; Jahed Hamid; Williams, Bruce W. (Elsevier, 2017-04-14)

  Uniaxial tension and compression tests were conducted to investigate the quasi-static performance of ZK60 Mg alloy in cast, followed by forging at optimum temperature of 450°C and a ram speed of 39mmmin-1. Microstructure ...

• Cohesive zone modeling of ductile tearing process in brazed joints 

  Ghovanlou, Morvarid K.; Jahed, Hamid; Khajepour, Amir (Elsevier, 2013-04-01)

  Ductile tearing process in low carbon steel brazed joints with copper filler metal is studied using the Cohesive Zone Model. The Cohesive Zone Model is characterized by two parameters related to the cohesive strength and ...

• Cohesive zone modeling of fatigue crack growth in brazed joints 

  Ghovanlou, Morvarid K.; Jahed, Hamid; Khajepour, Amir (Elsevier, 2014-04-01)

  Fatigue crack growth in low carbon steel brazed joints with copper filler metal is modeled by an irreversible Cohesive Zone Model. Strain-controlled fatigue tests are performed on the brazed specimens, and the corresponding ...

• Multiaxial cyclic behaviour and fatigue modelling of AM30 Mg alloy extrusion 

  Roostaei, Ali A.; Jahed, Hamid (Elsevier, 2017-04-01)

  Multiaxial fatigue characteristics of AM30 Mg alloy extrusion are studied through fully-reversed strain controlled cyclic experiments including pure torsional and combined axial-torsional at 0, 45 and 90 phase angle shifts. ...

• A priori discretization error metrics for distributed hydrologic modeling applications 

  Liu, Hongli; Tolson, Bryan A.; Craig, James R.; Shafii, Mahyar (Elsevier, 2016-12-01)

  Watershed spatial discretization is an important step in developing a distributed hydrologic model. A key difficulty in the spatial discretization process is maintaining a balance between the aggregation-induced information ...

• Uncertainty-based multi-criteria calibration of rainfall-runoff models: a comparative study 

  Shafii, Mahyar; Tolson, Bryan A.; Matott, Loren Shawn (Springer, 2014-08-01)

  This study compares formal Bayesian inference to the informal generalized likelihood uncertainty estimation (GLUE) approach for uncertainty-based calibration of rainfall-runoff models in a multi-criteria context. Bayesian ...

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