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Your search keyword '"Université de Montréal - UdeM (CANADA)"' showing total 3 results
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3 results on '"Université de Montréal - UdeM (CANADA)"'

1. Role of substrate outgassing on the formation dynamics of either hydrophilic or hydrophobic wood surfaces in atmospheric-pressure, organosilicon plasmas

Author

Pierre Blanchet, Jérôme Esvan, Eric Bêche, Nicolas Gherardi, Luc Stafford, Andranik Sarkissian, O. Levasseur, Bernard Riedl, Nicolas Naudé, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Université de Montréal - UdeM (CANADA), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), FPInnovations (CANADA), Plasmionique (CANADA), Université de Perpignan Via Domitia - UPVD (FRANCE), Université Laval (CANADA), Laboratoire Plasma et Conversion d'Energie - LAPLACE (Toulouse, France), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université de Montréal (UdeM), LAboratoire PLasma et Conversion d'Energie (LAPLACE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Matériaux et Procédés Plasmas (LAPLACE-MPP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Procédés, Matériaux et Energie Solaire (PROMES), Université de Perpignan Via Domitia (UPVD)-Centre National de la Recherche Scientifique (CNRS), Centre interuniversitaire de recherche et d'ingenierie des matériaux (CIRIMAT), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Institut de Chimie du CNRS (INC), FPInnovations, and Université Laval [Québec] (ULaval)

Subjects
Hexamethyldisiloxane, Materials science, Matériaux, Biochimie, Organosilicon plasmas, 02 engineering and technology, Ingénierie de l'environnement, 01 natural sciences, [SPI.MAT]Engineering Sciences [physics]/Materials, Contact angle, chemistry.chemical_compound, 0103 physical sciences, Materials Chemistry, Organic chemistry, Génie chimique, 010302 applied physics, Functional coatings, Substrate (chemistry), [CHIM.MATE]Chemical Sciences/Material chemistry, Surfaces and Interfaces, General Chemistry, Atmospheric-pressure plasmas, 021001 nanoscience & nanotechnology, Condensed Matter Physics, Black spruce, Dielectric barrier discharges, Wood, Surfaces, Coatings and Films, Outgassing, chemistry, Chemical engineering, Wetting, 0210 nano-technology, Layer (electronics), Deposition (chemistry)
Abstract

International audience; This work examines the influence of substrate outgassing on the deposition dynamics of either hydrophilic or hydrophobic coatings on wood surfaces in organosilicon, dielectric barrier discharges. Sugar maple and black spruce wood samples were placed on the bottom electrode and the discharge was sustained in N2–HMDSO (hexamethyldisiloxane) gas mixtures by applying a 24 kV peak-to-peak voltage at 2 kHz. Current–voltage characteristics revealed a transition from a filamentary to a homogeneous discharge with increasing plasma treatment time, t. Based on opticalemission spectroscopy, the filamentary behaviorwas ascribed to the release of air and humidity from the wood substrate following discharge exposure which produced significant quenching of N2 metastables. This effect vanished at longer treatment times due to the nearly complete “pumping” of products from the wood substrate and the progressive deposition of a “barrier” layer. Analysis of the surface wettability through static, water contact angles (WCAs) and of the surface composition through Fourier-Transform-Infra-Red-Spectroscopy and X-ray-Photoelectron-Spectroscopy indicated that for t b 10 min, the wood surface was more hydrophilic due to the formation of a SiOx layer, a typical behavior for HMDSO deposition in presence of oxygen. On the other hand, for t > 10 min, the static WCA increased up to ~140° due to the deposition of hydrophobic Si(CH3)3-O-Si(CH3)2, Si(CH3)3, and Si(CH3)2 functional groups.

Published
2013
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2. A new statistical test based on the wavelet cross-spectrum to detect time–frequency dependence between non-stationary signals: Application to the analysis of cortico-muscular interactions

Author

Marieke Longcamp, David Amarantini, Jérémie Bigot, Fabien Dal Maso, Centre National de la Recherche Scientifique - CNRS (FRANCE), Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE), Université de Montréal - UdeM (CANADA), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université Toulouse - Jean Jaurès - UT2J (FRANCE), Université Toulouse 1 Capitole - UT1 (FRANCE), Université de la Méditerranée - Aix-Marseille II (FRANCE), Universidad de Chile - UCHILE (CHILE), Institut de neurosciences cognitives de la méditerranée - INCM (Marseille, France), Bigot, Jérémie, Institut de Mathématiques de Toulouse UMR5219 (IMT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Institut de neurosciences cognitives de la méditerranée - UMR 6193 (INCM), Université de la Méditerranée - Aix-Marseille 2-Centre National de la Recherche Scientifique (CNRS), Laboratoire Adaptation Perceptivo-Motrice et Apprentissage (LAPMA), Institut des sciences du cerveau de Toulouse. (ISCT), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Research project grant AO3 NeuroBiomeCo from the University Paul Sabatier (Toulouse 3)., Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées

Subjects
Male, 2010 MSC classifications: 62M10, 62P10, Speech recognition, Statistics as Topic, Cortico-muscular interactions, 0302 clinical medicine, Wavelet, Cortico- muscular interactions, Mathematics, 0303 health sciences, [STAT.ME] Statistics [stat]/Methodology [stat.ME], Time-frequency dependence, Motor Cortex, Electroencephalography, Neurology, Data Interpretation, Statistical, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Coherence, Algorithms, Muscle Contraction, Cognitive Neuroscience, Wavelet Analysis, Sensitivity and Specificity, Young Adult, 03 medical and health sciences, Humans, Coherence (signal processing), Muscle, Skeletal, Cross-spectrum, 030304 developmental biology, Statistical hypothesis testing, Stochastic Processes, Electromyography, Stochastic process, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Neurosciences, Reproducibility of Results, Experimental data, Statistical testing, Pattern recognition, Evoked Potentials, Motor, Confidence interval, Cross-specturm, Time–frequency analysis, Artificial intelligence, business, 030217 neurology & neurosurgery
Abstract

The study of the correlations that may exist between neurophysiological signals is at the heart of modern techniques for data analysis in neuroscience. Wavelet coherence is a popular method to construct a time-frequency map that can be used to analyze the time-frequency correlations be- tween two time series. Coherence is a normalized measure of dependence, for which it is possible to construct confidence intervals, and that is commonly considered as being more interpretable than the wavelet cross-spectrum (WCS). In this paper, we provide empirical and theoretical arguments to show that a significant level of wavelet coherence does not necessarily correspond to a significant level of dependence between random signals, especially when the number of trials is small. In such cases, we demonstrate that the WCS is a much better measure of statistical dependence, and a new statistical test to detect significant values of the cross-spectrum is proposed. This test clearly outperforms the limitations of coherence analysis while still allowing a consistent estimation of the time-frequency correlations between two non-stationary stochastic processes. Simulated data are used to investigate the advantages of this new approach over coherence analysis. The method is also applied to experimental data sets to analyze the time-frequency correlations that may exist between electroencephalogram (EEG) and surface electromyogram (EMG).

Published
2011

3. Ethylenediamine- and propylenediaminediacetic acid derivatives as ligands for the 'fac-[M(CO)3]+' core (M = Re, 99mTc)

Author

Yvon Coulais, Michèle Dartiguenave, Christian Tessier, Eric Benoist, André L. Beauchamp, Marie Gressier, Mustapha Allali, Sandra Cousinié, Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Université de Montréal - UdeM (CANADA), Centre National de la Recherche Scientifique - CNRS (FRANCE), Université Ibn Tofail (MOROCCO), Centre interuniversitaire de recherche et d'ingenierie des matériaux (CIRIMAT), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), and Université Fédérale Toulouse Midi-Pyrénées-Institut de Chimie du CNRS (INC)

Subjects
Denticity, Iminodiacetic acid, Stereochemistry, Matériaux, Ethylenediamine, Crystal structure, 010402 general chemistry, 01 natural sciences, Medicinal chemistry, Inorganic Chemistry, chemistry.chemical_compound, Materials Chemistry, Moiety, Carboxylate, Physical and Theoretical Chemistry, 010405 organic chemistry, Ligand, Technetium-99m, [CHIM.MATE]Chemical Sciences/Material chemistry, 3. Good health, 0104 chemical sciences, Organometallic, Tricarbonylrhenium(I) complexes, chemistry, Crystal structures, Nitro
Abstract

International audience; The reaction of Re(CO)5Cl with o- or p-N-(nitrophenyl)ethylenediaminediacetic acid (H2L1, H2L2) and o- or p-N-(nitrophenyl)propylenediaminediacetic acid (H2L3, H2L4) in methanol leads to the formation of stable anionic [Et3NH][Re(CO)3(L)]·H2O complexes 1-4. These compounds have been characterized by means of IR, mass spectrometry, elemental analysis, NMR and conductimetry, as well as X-ray crystallography for 2 and 3. The [Re(CO)3]+ moiety is coordinated via the nitrogen of the iminodiacetic acid unit and two oxygens of monodentate carboxylate groups. In each case, the nitro group of the aromatic ring remains uncoordinated. The analogous technetium-99m complexes 1' and 3' were also prepared quantitatively by the reaction of H2L1 and H2L3, respectively, with the fac-[99mTc(CO)3(H2O)3]+ precursor in ethanol. The corresponding Re and 99mTc compounds were shown to possess the same structure by means of HPLC studies. The high affinity of these ligands for the Tc(I) or Re(I) core, coupled with the easiness of their derivatization (by reduction of the nitro group in amino group), implies that the utilization of this ligand system to develop target-specific radiopharmaceuticals for diagnosis and therapy is promising.

Published
2006

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