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944 results on '"Morel, L"'

1. New parametric identification method for a preference model

Author

Renaud, J, Camargo, M, Morel, L, and Fonteix, C

Subjects
Electrical Engineering and Systems Science - Systems and Control, Computer Science - Computational Engineering, Finance, and Science
Abstract

This article presents a contribution to multi-criteria decision support intended for industrial decision-makers in order to determine the best compromise between design criteria when working on risky or innovative products. In (RENAUD et al. 2008) we used the OWA operator (Ordered Weighted Average), a well-known multi-criteria analysis technique introduced by (YAGER 1988). The interest of this aggregation method is, beyond its ease of use, its ability to evaluate a product according to a single scale. When using the OWA method, the choice of criterion weights and their values remains an important and delicate operation. Indeed, the weights are not fixed by criterion but according to a level of utility (FISHBURN 1967). The weights can, in addition, be determined using different methods. A traditional approach consists in estimating the weights from an a priori selection of the most representative samples by an expert. We propose a new approach based on applied D-Optimality to determine the best sample. The results of the two approaches are compared. Indeed, in some multi-criteria decision problems, it is difficult to choose the method that best describes the behavior of the decision maker. As said above, the first part of this paper presents an original method based on D-optimality to determine the most representative set of samples to determine the decision parameters. This method has been applied and validated in an OWA approach. It has been shown that the accuracy and reliability of the method have been improved. Since the OWA application has been improved, the other goal of this paper is to verify whether the real decision maker has an OWA-based behavior or not. To achieve this, the D-optimality approach is applied to the MAUT (Multi-Attribute Utility Theory) approach to find the best set of samples. The results of the two methods are compared. Both approaches show that, while OWA better simulates the decision maker's behavior, there is still a gap between its scores and that of OWA. The question here is how to improve the accuracy of the score estimated by OWA compared to those given by the expert. Subsequently, a hybrid approach is tested, such as a linear combination of the MAUT and OWA approaches. The results obtained with this combination were found to be more accurate than those of OWA. However, we also tested the CHOQUET discrete integral approach. In other words, it is possible to find a model capable of better describing the decision maker's behavior., Comment: in French language

Published
2024

2. How can a decision maker take into account the evolution of his preferences over time?

Author

Kiss, L N, Fonteix, C, Camargo, M, Morel, L, and Renaud, J

Subjects
Mathematics - Optimization and Control
Abstract

The ranking of possible alternatives during the design or operation of an industrial process leads to the definition of a solution representing the best compromise between several contradictory objectives. The choice of solution is a decision that can be modeled using knowledge of the corresponding preferences. The decision and preference model used is that of flow balances. Munster cheese is used as an example. These are highly distinctive cheeses that are not suitable for uninformed consumers. If the decision-maker wishes to widen his consumer panel, he must modify the production line settings. In the event of a change in preferences due to an external influence, the decision-maker must adapt, but not too abruptly, to avoid both production line oscillations and consumer annoyance. To solve this problem, we propose a new technique: dynamic flow balances. This makes it possible to forecast production trends. Prospects are also proposed, such as the creation of a multi-criteria predictive control., Comment: in French language

Published
2024

6. Proposal for local SAR safety margin in pediatric neuro-imaging using 7 T MRI and parallel transmission.

Author

Dudysheva, N, Luong, M, Amadon, A, Morel, L, Touz, N Le, Vignaud, A, Boulant, N, and Gras, V

Abstract

Objective. Ultra-high field MRI with parallel transmission (pTx) provides a powerful neuroimaging tool with potential application in pediatrics. The use of pTx, however, necessitates a dedicated local specific absorption rate (SAR) management strategy, able to predict and monitor the peak local SAR (pSAR10g). In this work, we address the pSAR10g assessment for an in-house built 7 T 16Tx32Rx pediatric head coil, using the concept of virtual observation points (VOPs) for SAR estimation. Approach. We base our study on full-wave electromagnetic simulations performed on a database of 64 numerical anatomical head models of children aged between 4 and 16 years. We built VOPs on different subsets of this database of N = 2 up to 30 models, and cross-validated the pSAR10g prediction using non-intersecting subsets, each containing 30 models. We thereby propose a minimum anatomical safety factor (ASF) to apply to the VOP set to enforce safety, despite intersubject variability. Our analysis relies on the computation of the worst case SAR to VOP-SAR ratio, independent of the pTx RF excitation. Main results. The interpolation model provides that the minimum ASF decreases as 1 + 5.37 ⋅ N − 0.75 with N. Using all 64 models to build VOPs leads to an estimated ASF of 1.24 when considering the VOP validity for an infinite number of subjects. Significance. We propose a general simulation workflow to guide ASF estimation and quantify the trade-off between the number of numerical models available for VOP construction and the safety factor. The approach would apply to any simulation dataset and any pTx setup. [ABSTRACT FROM AUTHOR]

Published
2025
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8. Advanced GNSS Processing Techniques (Working Group 1)

Author

Douša, J., Dick, G., Altiner, Y., Alshawaf, F., Bosy, J., Brenot, H., Brockmann, E., Brožková, R., Deng, Z., Ding, W., Eben, K., Eliaš, M., Fernandes, R., Ganas, A., Geiger, A., Guerova, G., Hadaś, T., Hill, C., Hordyniec, P., Hurter, F., Jones, J., Kačmařík, M., Kaźmierski, K., Kaplon, J., Krč, P., Landskron, D., Li, X., Lu, C., Martins, J. P., Möller, G., Morel, L., Ófeigsson, G., Pacione, R., Pikridas, C., Pottiaux, E., Resler, J., Rohm, W., Sá, A., Sammer, J., Simeonov, T., Söhne, W., Stoycheva, A., Stürze, A., Rozsa, Sz., Teferle, F. N., Thorsteinsson, S., Václavovic, P., Valentim, H., Van Schaeybroeck, B., Viterbo, P., Wilgan, K., Yang, L., Zhao, L., Zinas, N., Zus, F., Jones, Jonathan, editor, Guerova, Guergana, editor, Douša, Jan, editor, Dick, Galina, editor, de Haan, Siebren, editor, Pottiaux, Eric, editor, Bock, Olivier, editor, Pacione, Rosa, editor, and van Malderen, Roeland, editor

Published
2020
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21. Temporal trends in baseline characteristics of implantable cardioverter defibrillator recipients for primary prevention of sudden cardiac death- The DAIPP program

Author

Frodi, D, primary, Boveda, S, additional, Piot, O, additional, Defaye, P, additional, Sadoul, N, additional, Narayanan, K, additional, Deharo, J C, additional, Gandjbakhch, E, additional, Fauchier, L, additional, Rosier, A, additional, Jesel-Morel, L, additional, Leclercq, C, additional, Probst, A, additional, Marijon, E, additional, and Garcia, R, additional

Published
2023
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27. Essential omega-3 fatty acids tune microglial phagocytosis of synaptic elements in the mouse developing brain

Author

Madore, C., Leyrolle, Q., Morel, L., Rossitto, M., Greenhalgh, A. D., Delpech, J. C., Martinat, M., Bosch-Bouju, C., Bourel, J., Rani, B., Lacabanne, C., Thomazeau, A., Hopperton, K. E., Beccari, S., Sere, A., Aubert, A., De Smedt-Peyrusse, V., Lecours, C., Bisht, K., Fourgeaud, L., Gregoire, S., Bretillon, L., Acar, N., Grant, N. J., Badaut, J., Gressens, P., Sierra, A., Butovsky, O., Tremblay, M. E., Bazinet, R. P., Joffre, C., Nadjar, A., and Layé, S.

Published
2020
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28. Advanced GNSS Processing Techniques (Working Group 1)

Author

Douša, J., primary, Dick, G., additional, Altiner, Y., additional, Alshawaf, F., additional, Bosy, J., additional, Brenot, H., additional, Brockmann, E., additional, Brožková, R., additional, Deng, Z., additional, Ding, W., additional, Eben, K., additional, Eliaš, M., additional, Fernandes, R., additional, Ganas, A., additional, Geiger, A., additional, Guerova, G., additional, Hadaś, T., additional, Hill, C., additional, Hordyniec, P., additional, Hurter, F., additional, Jones, J., additional, Kačmařík, M., additional, Kaźmierski, K., additional, Kaplon, J., additional, Krč, P., additional, Landskron, D., additional, Li, X., additional, Lu, C., additional, Martins, J. P., additional, Möller, G., additional, Morel, L., additional, Ófeigsson, G., additional, Pacione, R., additional, Pikridas, C., additional, Pottiaux, E., additional, Resler, J., additional, Rohm, W., additional, Sá, A., additional, Sammer, J., additional, Simeonov, T., additional, Söhne, W., additional, Stoycheva, A., additional, Stürze, A., additional, Rozsa, Sz., additional, Teferle, F. N., additional, Thorsteinsson, S., additional, Václavovic, P., additional, Valentim, H., additional, Van Schaeybroeck, B., additional, Viterbo, P., additional, Wilgan, K., additional, Yang, L., additional, Zhao, L., additional, Zinas, N., additional, and Zus, F., additional

Published
2019
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32. A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohn’s Disease: A Population-based Study

Author

Sarter, Hélène, Savoye, Guillaume, Marot, Guillemette, Ley, Delphine, Turck, Dominique, Hugot, Jean-Pierre, Vasseur, Francis, Duhamel, Alain, Wils, Pauline, Princen, Fred, Colombel, Jean-Frédéric, Gower-Rousseau, Corinne, Fumery, Mathurin, Al Hameedi, R, Al Khatib, M, Al Turk, S, Agoute, E, Andre, J, Antonietti, M, Aouakli, A, Armand, A, Armengol-Debeir, L, Aroichane, I, Assi, F, Aubet, J, Auxenfants, E, Avram, A, Ayafi-Ramelot, F, Azzouzi, K, Bankovski, D, Barbry, B, Bardoux, N, Baron, P, Baudet, A, Bayart, P, Bazin, B, Bebahani, A, Becqwort, J, Bellati, S, Benet, V, Benali, H, Benard, C, Benguigui, C, Ben Soussan, E, Bental, A, Berkelmans, I, Bernet, J, Bernou, K, Bernou-Dron, C, Bertot, P, Bertiaux-Vandaële, N, Bertrand, V, Billoud, E, Biron, N, Bismuth, B, Bleuet, M, Blondel, F, Blondin, V, Bobula, M, Bohon, P, Bondjemah, V, Boniface, E, Bonkovski, D, Bonnière, P, Bonvarlet, E, Bonvarlet, P, Boruchowicz, A, Bostvironnois, R, Boualit, M, Bouazza, A, Bouche, B, Boudaillez, C, Bourgeaux, C, Bourgeois, M, Bourguet, A, Bourienne, A, Boutaleb, H, Bouthors, A, Branche, J, Bray, G, Brazier, F, Breban, P, Bridenne, M, Brihier, H, Bril, L, Brung-Lefebvre, V, Bulois, P, Burgiere, P, Butel, J, Canva, J, Canva-Delcambre, V, Capron, J, Cardot, F, Carette, S, Carpentier, P, Cartier, E, Cassar, J, Cassagnou, M, Castex, J, Catala, P, Cattan, S, Catteau, S, Caujolle, B, Cayron, G, Chandelier, C, Chantre, M, Charles, J, Charneau, T, Chavance-Thelu, M, Cheny, A, Chirita, D, Choteau, A, Claerbout, J, Clergue, P, Coevoet, H, Cohen, G, Collet, R, Colin, M, Colombel, J, Coopman, S, Cordiez, L, Corvisart, J, Cortot, A, Couttenier, F, Crinquette, J, Crombe, V, Dadamessi, I, Daoudi, H, Dapvril, V, Davion, T, Dautreme, S, Debas, J, Decoster, S, Degrave, N, Dehont, F, Delatre, C, Delcenserie, R, Delesalle, D, Delette, O, Delgrange, T, Delhoustal, L, Delmotte, J, Demmane, S, Deregnaucourt, G, Descombes, P, Desechalliers, J, Desmet, P, Desreumaux, P, Desseaux, G, Desurmont, P, Devienne, A, Devouge, E, Devred, M, Devroux, A, Dewailly, A, Dharancy, S, Di Fiore, A, Djedir, D, Djedir, R, Doleh, W, Dreher-Duwat, M, Dubois, R, Duburque, C, Ducatillon, P, Duclay, J, Ducrocq, B, Ducrot, F, Ducrotte, P, Dufilho, A, Duhamel, C, Dujardin, D, Dumant-Forest, C, Dupas, J, Dupont, F, Duranton, Y, Duriez, A, Duveau, N, El Achkar, K, El Farisi, M, Elie, C, Elie-Legrand, M, Elkhaki, A, Eoche, M, Essmaeel, E, Evrard, D, Evrard, J, Fatome, A, Filoche, B, Finet, L, Flahaut, M, Flamme, C, Foissey, D, Fournier, P, Foutrein-Comes, M, Foutrein, P, Fremond, D, Frere, T, Gallais, P, Gamblin, C, Ganga, S, Gerard, R, Geslin, G, Gheyssens, Y, Ghossini, N, Ghrib, S, Gilbert, T, Gillet, B, Godart, D, Godard, P, Godchaux, J, Godchaux, R, Goegebeur, G, Goria, O, Gottrand, F, Gower, P, Grandmaison, B, Groux, M, Guedon, C, Guerbeau, L, Gueroult-Dero, M, Guillard, J, Guillem, L, Guillemot, F, Guimberd, D, Haddouche, B, Hakim, S, Hanon, D, Hautefeuille, V, Heckestweiller, P, Hecquet, G, Hedde, J, Hellal, H, Henneresse, P, Heyman, B, Heraud, M, Herve, S, Hochain, P, Houssin-Bailly, L, Houcke, P, Huguenin, B, Iobagiu, S, Istanboli, S, Ivanovic, A, Iwanicki-Caron, I, Janicki, E, Jarry, M, Jeu, J, Joly, J, Jonas, C, Jouvenet, A, Katherin, F, Kerleveo, A, Khachfe, A, Kiriakos, A, Kiriakos, J, Klein, O, Kohut, M, Kornhauser, R, Koutsomanis, D, Laberenne, J, Lacotte, E, Laffineur, G, Lagarde, M, Lalanne, A, Lalieu, A, Lannoy, P, Lapchin, J, Laprand, M, Laude, D, Leblanc, R, Lecieux, P, Lecleire, S, Leclerc, N, Le Couteulx, C, Ledent, J, Lefebvre, J, Lefiliatre, P, Le Goffic, C, Legrand, C, Le Grix, A, Lelong, P, Leluyer, B, Lemaitre, C, Lenaerts, C, Lepeut, G, Lepileur, L, Leplat, A, Lepoutre-Dujardin, E, Leroi, H, Leroy, M, Le Roy, P, Lesage, B, Lesage, J, Lesage, X, Lescanne-Darchis, I, Lescut, J, Lescut, D, Leurent, B, Levy, P, Lhermie, M, Libier, L, Lion, A, Lisambert, B, Loge, I, Loire, F, Loreau, J, Louf, S, Louvet, A, Lubret, L, Luciani, M, Lucidarme, D, Lugand, J, Macaigne, O, Maetz, D, Maillard, D, Mancheron, H, Manolache, O, Marks-Brunel, A, Marre, C, Marti, R, Martin, F, Martin, G, Marzloff, E, Mathurin, P, Mauillon, J, Maunoury, V, Maupas, J, Medam Djomo, M, Mechior, C, Melki, Z, Mesnard, B, Metayer, P, Methari, L, Meurisse, B, Meurisse, F, Michaud, L, Mirmaran, X, Modaine, P, Monthe, A, Morel, L, Mortier, P, Moulin, E, Mouterde, O, Mozziconaci, N, Mudry, J, Nachury, M, Ngo, M, N’guyen Khac, Eric, Notteghem, B, Ollevier, V, Ostyn, A, Ouraghi, A, Oussadou, B, Ouvry, D, Paillot, B, Painchart, C, Panien-Claudot, N, Paoletti, C, Papazian, A, Parent, B, Pariente, B, Paris, J, Patrier, P, Paupard, T, Pauwels, B, Pauwels, M, Penninck, E, Petit, R, Piat, M, Piotte, S, Plane, C, Plouvier, B, Pollet, E, Pommelet, P, Pop, D, Pordes, C, Pouchain, G, Prades, P, Prevost, A, Prevost, J, Quartier, G, Quesnel, B, Queuniet, A, Quinton, J, Rabache, A, Rabelle, P, Raclot, G, Ratajczyk, S, Rault, D, Razemon, V, Reix, N, Renaut-Vantroys, T, Revillion, M, Riachi, G, Richez, C, Robinson, P, Rodriguez, J, Roger, J, Roux, J, Rudelli, A, Saber, A, Savoye, G, Schlossberg, P, Sefrioui, D, Segrestin, M, Seguy, D, Seminur, C, Serin, M, Seryer, A, Sevenet, F, Shekh, N, Silvie, J, Simon, V, Spyckerelle, C, Talbodec, N, Tavernier, N, Tchandeu, H, Techy, A, Thelu, J, Thevenin, A, Thiebault, H, Thomas, J, Thorel, J, Thuillier, C, Tielman, G, Tode, M, Toisin, J, Tonnel, J, Touchais, J, Toumelin, P, Touze, Y, Tranvouez, J, Triplet, C, Triki, N, Turck, D, Uhlen, S, Vaillant, E, Valmage, C, Vanco, D, Vandaele-Bertiaux, N, Vandamme, H, Vanderbecq, E, Vander Eecken, E, Vandermolen, P, Vandevenne, P, Vandeville, L, Vandewalle, A, Vandewalle, C, Vaneslander, P, Vanhoove, J, Vanrenterghem, A, Vanveuren, C, Varlet, P, Vasies, I, Verbiese, G, Verlynde, J, Vernier-Massouille, G, Vermelle, P, Verne, C, Vezilier-Cocq, P, Vigneron, B, Vincendet, M, Viot, J, Voiment, Y, Wacrenier, A, Waeghemaecker, L, Wallez, J, Wantiez, M, Wartel, F, Weber, J, Willocquet, J, Wizla, N, Wolschies, E, Zaharia, O, Zaoui, S, Zalar, A, Zaouri, B, Zellweger, A, Ziade, C, Beaugerie, L, Allez, M, Ruemmele, F, Lamer, A, Roy, M, CHU Lille, Institute for Translational Research in Inflammation - U 1286 (INFINITE (Ex-Liric)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Nutrition, Inflammation et axe Microbiote-Intestin-Cerveau (ADEN), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Research and Innovation in Biomedicine (IRIB), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Normandie Université (NU), Service d'Hépato-Gastroentérologie [CHU Rouen], Hôpital Charles Nicolle [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Service des Maladies de l'Appareil Digestif et de la Nutrition [CHRU Lille], Hôpital Claude Huriez [Lille], CHU Lille-CHU Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Centre Hospitalier Universitaire de Reims (CHU Reims), Périnatalité et Risques Toxiques - UMR INERIS_I 1 (PERITOX), Institut National de l'Environnement Industriel et des Risques (INERIS)-Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, CHU Amiens-Picardie, Registre EPIMAD, Normandie Université (NU)-Normandie Université (NU)-CHU Amiens-Picardie-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Department of Colloid Chemistry [Potsdam], Max Planck Institute of Colloids and Interfaces, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Groupe de Recherche sur l'alcool et les pharmacodépendances - UMR INSERM_S 1247 (GRAP), and Université de Picardie Jules Verne (UPJV)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Crohn’s disease, inflammatory bowel disease, complication, genetics, prediction, prognosis, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

International audience; Background The identification of patients at high risk of a disabling disease course would be invaluable in guiding initial therapy in Crohn’s disease (CD). Our objective was to evaluate a combination of clinical, serological, and genetic factors to predict complicated disease course in pediatric-onset CD. Methods Data for pediatric-onset CD patients, diagnosed before 17 years of age between 1988 and 2004 and followed more than 5 years, were extracted from the population-based EPIMAD registry. The main outcome was defined by the occurrence of complicated behavior (stricturing or penetrating) and/or intestinal resection within the 5 years following diagnosis. Lasso logistic regression models were used to build a predictive model based on clinical data at diagnosis, serological data (ASCA, pANCA, anti-OmpC, anti-Cbir1, anti-Fla2, anti-Flax), and 369 candidate single nucleotide polymorphisms. Results In total, 156 children with an inflammatory (B1) disease at diagnosis were included. Among them, 35% (n = 54) progressed to a complicated behavior or an intestinal resection within the 5 years following diagnosis. The best predictive model (PREDICT-EPIMAD) included the location at diagnosis, pANCA, and 6 single nucleotide polymorphisms. This model showed good discrimination and good calibration, with an area under the curve of 0.80 after correction for optimism bias (sensitivity, 79%, specificity, 74%, positive predictive value, 61%, negative predictive value, 87%). Decision curve analysis confirmed the clinical utility of the model. Conclusions A combination of clinical, serotypic, and genotypic variables can predict disease progression in this population-based pediatric-onset CD cohort. Independent validation is needed before it can be used in clinical practice.

Published
2023
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40. Enhancing PPP-RTK performances in regions of high ionospheric activity

Author

de Oliveira Junior, P., Monico, J., Morel, L., Durand, S., and Durand, F.

Abstract

PPP-RTK (Precise Point Positioning - Real Time Kinematic) is consistently emerging as an alternative to provide centimeter level accuracy for real-time GNSS (Global Navigation Satellite Systems) positioning. This method is based on the Space State Representation (SSR) concept, which requires that errors affecting GNSS observables be either corrected or estimated in GNSS data processing. The parameters estimation is usually ensured by the application of the S-system theory. It has been shown that introducing atmospheric SSR corrections as a priori information to PPP-RTK users can significantly improve their results. PPP-RTK is especially useful in regions where only GNSS active reference stations with a sparse spatial distribution are available to users, such as South America. This region faces several challenges in GNSS positioning performance due to ionospheric disturbances, so providing high-quality ionospheric delay SSR corrections to PPP-RTK is crucial for enhancing GNSS applications there. Most PPP-RTK studies focus on geographic regions with low ionospheric activity. This contribution assesses an alternative for generating and applying SSR ionospheric corrections for simulated PPP-RTK users in regions affected by high levels of ionospheric activity. The proposed approach involves using adaptive constraints for ionospheric SSR corrections and ensuring consistency with the recommended International GNSS Service (IGS) standards for broadcasting SSR corrections to users. Preliminary results show that this approach can reduce the time required for PPP-RTK to achieve 10 centimeters horizontal accuracy by approximately 42%., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

Published
2023
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42. Impact of Extra-Intestinal Manifestations at Diagnosis on Disease Outcome in Pediatric- and Elderly-Onset Crohn′s Disease: A French Population-Based Study

Author

Duricova, Dana, Sarter, Hélène, Savoye, Guillaume, Leroyer, Ariane, Pariente, Benjamin, Armengol-Debeir, Laura, Bouguen, Guillaume, Ley, Delphine, Turck, Dominique, Templier, Carole, Buche, Sebastien, Peyrin-Biroulet, Laurent, Gower-Rousseau, Corinne, Fumery, Mathurin, Andre, J M, Antonietti, M, Aouakli, A, Armand, A, Aroichane, I, Assi, F, Aubet, J P, Auxenfants, E, Ayafi-Ramelot, F, Bankovski, D, Barbry, B, Bardoux, N, Baron, P, Baudet, A, Bazin, B, Bebahani, A, Becqwort, J P, Benet, V, Benali, H, Benguigui, C, Ben Soussan, E, Bental, A, Berkelmans, I, Bernet, J, Bernou, K, Bernou-Dron, C, Bertot, P, Bertiaux-Vandaële, N, Bertrand, V, Billoud, E, Biron, N, Bismuth, B, Bleuet, M, Blondel, F, Blondin, V, Bohon, P, Boniface, E, Bonnière, P, Bonvarlet, E, Bonvarlet, P, Boruchowicz, A, Bostvironnois, R, Boualit, M, Bouche, B, Boudaillez, C, Bourgeaux, C, Bourgeois, M, Bourguet, A, Bourienne, A, Branche, J, Bray, G, Brazier, F, Breban, P, Brihier, H, Brung-Lefebvre, V, Bulois, P, Burgiere, P, Butel, J, Canva, J Y, Canva-Delcambre, V, Capron, J P, Cardot, F, Carpentier, P, Cartier, E, Cassar, J F, Cassagnou, M, Castex, J F, Catala, P, Cattan, S, Catteau, S, Caujolle, B, Cayron, G, Chandelier, C, Chantre, M, Charles, J, Charneau, T, Chavance-Thelu, M, Chirita, D, Choteau, A, Claerbout, J F, Clergue, P Y, Coevoet, H, Cohen, G, Collet, R, Colombel, J F, Coopman, S, Corvisart, J, Cortot, A, Couttenier, F, Crinquette, J F, Crombe, V, Dadamessi, I, Dapvril, V, Davion, T, Dautreme, S, Debas, J, Degrave, N, Dehont, F, Delatre, C, Delcenserie, R, Delette, O, Delgrange, T, Delhoustal, L, Delmotte, J S, Demmane, S, Deregnaucourt, G, Descombes, P, Desechalliers, J P, Desmet, P, Desreumaux, P, Desseaux, G, Desurmont, P, Devienne, A, Devouge, E, Devred, M, Devroux, A, Dewailly, A, Dharancy, S, Di Fiore, A, Djeddi, D, Djedir, R, Dreher-Duwat, M L, Dubois, R, Dubuque, C, Ducatillon, P, Duclay, J, Ducrocq, B, Ducrot, F, Ducrotté, P, Dufilho, A, Duhamel, C, Dujardin, D, Dumant-Forest, C, Dupas, J L, Dupont, F, Duranton, Y, Duriez, A, El Achkar, K, El Farisi, M, Elie, C, Elie-Legrand, M C, Elkhaki, A, Eoche, M, Evrard, D, Evrard, J P, Fatome, A, Filoche, B, Finet, L, Flahaut, M, Flamme, C, Foissey, D, Fournier, P, Foutrein- Comes, M C, Foutrein, P, Fremond, D, Frere, T, Fumery, M, Gallet, P, Gamblin, C, Ganga-Zandzou, S, Gerard, R, Geslin, G, Gheyssens, Y, Ghossini, N, Ghrib, S, Gilbert, T, Gillet, B, Godard, D, Godard, P, Godchaux, J M, Godchaux, R, Goegebeur, G, Goria, O, Gottrand, F, Gower, P, Grandmaison, B, Groux, M, Guedon, C, Guillard, J F, Guillem, L, Guillemot, F, Guimber, D, Haddouche, B, Hakim, S, Hanon, D, Hautefeuille, V, Heckestweiller, P, Hecquet, G, Hedde, J P, Hellal, H, Henneresse, P E, Heyman, B, Heraud, M, Herve, S, Hochain, P, Houssin-Bailly, L, Houcke, P, Huguenin, B, Iobagiu, S, Ivanovic, A, Iwanicki-Caron, I, Janicki, E, Jarry, M, Jeu, J, Joly, J P, Jonas, C, Katherin, F, Kerleveo, A, Khachfe, A, Kiriakos, A, Kiriakos, J, Klein, O, Kohut, M, Kornhauser, R, Koutsomanis, D, Laberenne, J E, Laffineur, G, Lagarde, M, Lannoy, P, Lapchin, J, Lapprand, M, Laude, D, Leblanc, R, Lecieux, P, Leclerc, N, Le Couteulx, C, Ledent, J, Lefebvre, J, Lefiliatre, P, Legrand, C, Le Grix, A, Lelong, P, Leluyer, B, Lenaerts, C, Lepileur, L, Leplat, A, Lepoutre-Dujardin, E, Leroi, H, Leroy, M Y, Lesage, J P, Lesage, X, Lesage, J, Lescanne-Darchis, I, Lescut, J, Lescut, D, Leurent, B, Levy, P, Lhermie, M, Lion, A, Lisambert, B, Loire, F, Louf, S, Louvet, A, Luciani, M, Lucidarme, D, Lugand, J, Macaigne, O, Maetz, D, Maillard, D, Mancheron, H, Manolache, O, Marks-Brunel, A B, Marti, R, Martin, F, Martin, G, Marzloff, E, Mathurin, P, Mauillon, J, Maunoury, V, Maupas, J L, Mesnard, B, Metayer, P, Methari, L, Meurisse, B, Meurisse, F, Michaud, L, Mirmaran, X, Modaine, P, Monthe, A, Morel, L, Mortier, P E, Moulin, E, Mouterde, O, Mudry, J, Nachury, M, N’Guyen Khac, E, Notteghem, B, Ollevier, V, Ostyn, A, Ouraghi, A, Ouvry, D, Paillot, B, Panien-Claudot, N, Paoletti, C, Papazian, A, Parent, B, Pariente, B, Paris, J C, Patrier, P, Paupart, L, Pauwels, B, Pauwels, M, Petit, R, Piat, M, Piotte, S, Plane, C, Plouvier, B, Pollet, E, Pommelet, P, Pop, D, Pordes, C, Pouchain, G, Prades, P, Prevost, A, Prevost, J C, Quesnel, B, Queuniet, A M, Quinton, J F, Rabache, A, Rabelle, P, Raclot, G, Ratajczyk, S, Rault, D, Razemon, V, Reix, N, Revillon, M, Richez, C, Robinson, P, Rodriguez, J, Roger, J, Roux, J M, Rudelli, A, Saber, A, Savoye, G, Schlosseberg, P, Segrestin, M, Seguy, D, Serin, M, Seryer, A, Sevenet, F, Shekh, N, Silvie, J, Simon, V, Spyckerelle, C, Talbodec, N, Techy, A, Thelu, J L, Thevenin, A, Thiebault, H, Thomas, J, Thorel, J M, Tielman, G, Tode, M, Toisin, J, Tonnel, J, Touchais, J Y, Touze, Y, Tranvouez, J L, Triplet, C, Turck, D, Uhlen, S, Vaillant, E, Valmage, C, Vanco, D, Vandamme, H, Vanderbecq, E, Vander Eecken, E, Vandermolen, P, Vandevenne, P, Vandeville, L, Vandewalle, A, Vandewalle, C, Vaneslander, P, Vanhoove, J P, Vanrenterghem, A, Varlet, P, Vasies, I, Verbiese, G, Vernier-Massouille, G, Vermelle, P, Verne, C, Vezilier-Cocq, P, Vigneron, B, Vincendet, M, Viot, J, Voiment, Y M, Wacrenier, A, Waeghemaecker, L, Wallez, J Y, Wantiez, M, Wartel, F, Weber, J, Willocquet, J L, Wizla, N, Wolschies, E, Zalar, A, Zaouri, B, Zellweger, A, and Ziade, C

Published
2019
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45. Ulcerative proctitis is a frequent location of paediatric-onset UC and not a minor disease: a population-based study

Author

Hochart, A, Gower-Rousseau, C, Sarter, H, Fumery, M, Ley, D, Spyckerelle, C, Peyrin-Biroulet, L, Laberenne, J-E, Vasseur, F, Savoye, G, Turck, D, Andre, JM, Antonietti, M, Aouakli, A, Armand, A, Aroichane, I, Assi, F, Aubet, JP, Auxenfants, E, Ayafi-Ramelot, F, Azzouzi, K, Bankovski, D, Barbry, B, Bardoux, N, Baron, P, Baudet, A, Bazin, B, Bebahani, A, Becqwort, JP, Benet, V, Benali, H, Benguigui, C, Ben Soussan, E, Bental, A, Berkelmans, I, Bernet, J, Bernou, K, Bernou-Dron, C, Bertot, P, Bertiaux-Vandaële, N, Bertrand, V, Billoud, E, Biron, N, Bismuth, B, Bleuet, M, Blondel, F, Blondin, V, Bohon, P, Boniface, E, Bonnière, P, Bonvarlet, E, Bonvarlet, P, Boruchowicz, A, Bostvironnois, R, Boualit, M, Bouche, B, Boudaillez, C, Bourgeaux, C, Bourgeois, M, Bourguet, A, Bourienne, A, Branche, J, Bray, G, Brazier, F, Breban, P, Bridenne, M, Brihier, H, Brung-Lefebvre, V, Bulois, P, Burgiere, P, Butel, J, Canva, JY, Canva-Delcambre, V, Capron, JP, Cardot, F, Carpentier, P, Cartier, E, Cassar, JF, Cassagnou, M, Castex, JF, Catala, P, Cattan, S, Catteau, S, Caujolle, B, Cayron, G, Chandelier, C, Chantre, M, Charles, J, Charneau, T, Chavance-Thelu, M, Chirita, D, Choteau, A, Claerbout, JF, Clergue, PY, Coevoet, H, Cohen, G, Collet, R, Colombel, JF, Coopman, S, Corvisart, J, Cortot, A, Couttenier, F, Crinquette, JF, Crombe, V, Dadamessi, I, Dapvril, V, Davion, T, Dautreme, S, Debas, J, Degrave, N, Dehont, F, Delatre, C, Delcenserie, R, Delette, O, Delgrange, T, Delhoustal, L, Delmotte, JS, Demmane, S, Deregnaucourt, G, Descombes, P, Desechalliers, JP, Desmet, P, Desreumaux, P, Desseaux, G, Desurmont, P, Devienne, A, Devouge, E, Devred, M, Devroux, A, Dewailly, A, Dharancy, S, Di Fiore, A, Djeddi, D, Djedir, R, Dreher-Duwat, ML, Dubois, R, Dubuque, C, Ducatillon, P, Duclay, J, Ducrocq, B, Ducrot, F, Ducrotte, P, Dufilho, A, Duhamel, C, Dujardin, D, Dumant-Forest, C, Dupas, JL, Dupont, F, Duranton, Y, Duriez, A, El Achkar, K, El Farisi, M, Elie, C, Elie-Legrand, MC, Elkhaki, A, Eoche, M, Evrard, D, Evrard, JP, Fatome, A, Filoche, B, Finet, L, Flahaut, M, Flamme, C, Foissey, D, Fournier, P, Foutrein-Comes, MC, Foutrein, P, Fremond, D, Frere, T, Gallet, P, Gamblin, C, Ganga, S, Gerard, R, Geslin, G, Gheyssens, Y, Ghossini, N, Ghrib, S, Gilbert, T, Gillet, B, Godard, D, Godard, P, Godchaux, JM, Godchaux, R, Goegebeur, G, Goria, O, Gottrand, F, Gower, P, Grandmaison, B, Groux, M, Guedon, C, Guillard, JF, Guillem, L, Guillemot, F, Guimberd, D, Haddouche, B, Hakim, S, Hanon, D, Hautefeuille, V, Heckestweiller, P, Hecquet, G, Hedde, JP, Hellal, H, Henneresse, PE, Heyman, B, Heraud, M, Herve, S, Hochain, P, Houssin-Bailly, L, Houcke, P, Huguenin, B, Iobagiu, S, Ivanovic, A, Iwanicki-Caron, I, Janicki, E, Jarry, M, Jeu, J, Joly, JP, Jonas, C, Katherin, F, Kerleveo, A, Khachfe, A, Kiriakos, A, Kiriakos, J, Klein, O, Kohut, M, Kornhauser, R, Koutsomanis, D, Laffineur, G, Lagarde, M, Lalanne, A, Lannoy, P, Lapchin, J, Laprand, M, Laude, D, Leblanc, R, Lecieux, P, Leclerc, N, Le Couteulx, C, Ledent, J, Lefebvre, J, Lefiliatre, P, Legrand, C, Le Grix, A, Lelong, P, Leluyer, B, Lenaerts, C, Lepileur, L, Leplat, A, Lepoutre-Dujardin, E, Leroi, H, Leroy, MY, Lesage, JP, Lesage, X, Lesage, J, Lescanne-Darchis, I, Lescut, J, Lescut, D, Leurent, B, Levy, P, Lhermie, M, Lion, A, Lisambert, B, Loire, F, Louf, S, Louvet, A, Luciani, M, Lucidarme, D, Lugand, J, Macaigne, O, Maetz, D, Maillard, D, Mancheron, H, Manolache, O, Marks-Brunel, AB, Marti, R, Martin, F, Martin, G, Marzloff, E, Mathurin, P, Mauillon, J, Maunoury, V, Maupas, JL, Mesnard, B, Metayer, P, Methari, L, Meurisse, B, Meurisse, F, Michaud, L, Mirmaran, X, Modaine, P, Monthe, A, Morel, L, Mortier, PE, Moulin, E, Mouterde, O, Mudry, J, Nachury, M, NʼGuyen Khac, E, Notteghem, B, Ollevier, V, Ostyn, A, Ouraghi, A, Ouvry, D, Paillot, B, Panien-Claudot, N, Paoletti, C, Papazian, A, Parent, B, Pariente, B, Paris, JC, Patrier, P, Paupart, L, Pauwels, B, Pauwels, M, Petit, R, Piat, M, Piotte, S, Plane, C, Plouvier, B, Pollet, E, Pommelet, P, Pop, D, Pordes, C, Pouchain, G, Prades, P, Prevost, A, Prevost, JC, Quesnel, B, Queuniet, AM, Quinton, JF, Rabache, A, Rabelle, P, Raclot, G, Ratajczyk, S, Rault, D, Razemon, V, Reix, N, Revillon, M, Richez, C, Robinson, P, Rodriguez, J, Roger, J, Roux, JM, Rudelli, A, Saber, A, Schlosseberg, P, Segrestin, M, Seguy, D, Serin, M, Seryer, A, Sevenet, F, Shekh, N, Silvie, J, Simon, V, Talbodec, N, Techy, A, Thelu, JL, Thevenin, A, Thiebault, H, Thomas, J, Thorel, JM, Tielman, G, Tode, M, Toisin, J, Tonnel, J, Touchais, JY, Touze, Y, Tranvouez, JL, Triplet, C, Uhlen, S, Vaillant, E, Valmage, C, Vanco, D, Vandamme, H, Vanderbecq, E, Vander Eecken, E, Vandermolen, P, Vandevenne, P, Vandeville, L, Vandewalle, A, Vandewalle, C, Vaneslander, P, Vanhoove, JP, Vanrenterghem, A, Varlet, P, Vasies, I, Verbiese, G, Vernier-Massouille, G, Vermelle, P, Verne, C, Vezilier-Cocq, P, Vigneron, B, Vincendet, M, Viot, J, Voiment, YM, Wacrenier, A, Waeghemaecker, L, Wallez, JY, Wantiez, M, Wartel, F, Weber, J, Willocquet, JL, Wizla, N, Wolschies, E, Zalar, A, Zaouri, B, Zellweger, A, and Ziade, C

Published
2017
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46. Recurrent lipoatrophic panniculitis of children

Author

Torrelo, A., Noguera-Morel, L., Hernández-Martín, A., Clemente, D., Barja, J. M., Buzón, L., Azorín, D., de Jesús, A. A., López-Robledillo, J. C., Colmenero, I., Kutzner, H., Goldbach-Mansky, R., and Requena, L.

Published
2017
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47. Présentation inhabituelle de syphilis congénitale à type de lésions croûteuses du cuir chevelu

Author

de Salins, C.A., Chassain, K., Jacobzone Leveque, C., Lecoeuvre, H., Lorleach, A., Rouzic, N., Morel, L., Teissier, R., Haouisée, S., and Pasquier, J.

Abstract

La syphilis congénitale est rare mais son incidence est en augmentation dans le monde depuis les dix dernières années y compris en Europe. Le diagnostic précoce est difficile. Il est primordial de pouvoir poser un diagnostic rapide pour prévenir le risque de séquelles ultérieures. Nous rapportons le cas d’une patiente de 2 mois qui présentait des lésions inflammatoires croûteuses du cuir chevelu.

Published
2024
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48. The absence of VGLUT3 predisposes to cocaine abuse by increasing dopamine and glutamate signaling in the nucleus accumbens

Author

Sakae, D Y, Marti, F, Lecca, S, Vorspan, F, Martín-García, E, Morel, L J, Henrion, A, Gutiérrez-Cuesta, J, Besnard, A, Heck, N, Herzog, E, Bolte, S, Prado, V F, Prado, M A M, Bellivier, F, Eap, C B, Crettol, S, Vanhoutte, P, Caboche, J, Gratton, A, Moquin, L, Giros, B, Maldonado, R, Daumas, S, Mameli, M, Jamain, S, and El Mestikawy, S

Published
2015
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50. Démocratie directe et congruence

Author

Magni Berton, Raul, Morel, Laurence, Magni Berton, R ( Raul ), Morel, L ( Laurence ), Leemann, Lucas; https://orcid.org/0000-0001-5201-869X, Magni Berton, Raul, Morel, Laurence, Magni Berton, R ( Raul ), Morel, L ( Laurence ), and Leemann, Lucas; https://orcid.org/0000-0001-5201-869X

Published
2022

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