10,821 results on '"A. Tellier"'
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102. François Mitterrand, un jacobin converti à la décentralisation
- Author
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Tellier, Thibault, primary
- Published
- 2023
- Full Text
- View/download PDF
103. Correction to: Assessing Video Ad Performance Through Observation of Facial Expressions: An Abstract
- Author
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Tellier, Alexandre, primary, Prom Tep, Sandrine, additional, and Sénécal, Sylvain, additional
- Published
- 2023
- Full Text
- View/download PDF
104. Simulation-based Modeling of Biological Traits and Inference from the Ancestral Recombination Graph
- Author
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Tellier, Aurélien (Prof. Dr.), Tellier, Aurélien (Prof. Dr.);Mayer, Klaus (Prof. Dr.);Metzler, Dirk (Prof. Dr.), Korfmann, Kevin, Tellier, Aurélien (Prof. Dr.), Tellier, Aurélien (Prof. Dr.);Mayer, Klaus (Prof. Dr.);Metzler, Dirk (Prof. Dr.), and Korfmann, Kevin
- Abstract
Understanding genetic diversity lies at the heart of population genetics. In this thesis, we explore the approach of individual-based models to study dormancy and large stochastic variance of offspring distributions both under the influence of positive selection. We then continue to assess the suitability of graph neural networks to capture some of the diversity structured in the form of the ancestral recombination graph., Das Verstehen genetischer Vielfalt steht im Mittelpunkt der Populationsgenetik. In dieser Arbeit untersuchen wir den Ansatz individuen-basierter Modelle um Dormanz und große stochastische Varianz der Nachkommenschaft unter dem Einfluss positiver Selektion zu untersuchen. Anschließend bewerten wir die Eignung von neuronalen Graphennetzen zur Erfassung eines Teils dieser Vielfalt, die in Form des Ahnenrecombinationsgraphs strukturiert ist.
- Published
- 2024
105. Lack of association between classical HLA genes and asymptomatic SARS-CoV-2 infection
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Marchal, A, Cirulli, E, Neveux, I, Bellos, E, Thwaites, R, Schiabor Barrett, K, Zhang, Y, Nemes-Bokun, I, Kalinova, M, Catchpole, A, Tangye, S, Spaan, A, Lack, J, Ghosn, J, Burdet, C, Gorochov, G, Tubach, F, Hausfater, P, Abel, L, Aiuti, A, Al-Muhsen, S, Al-Mulla, F, Amara, A, Anderson, M, Andreakos, E, Arias, A, Arkin, L, Feldman, H, Bastard, P, Belot, A, Biggs, C, Bogunovic, D, Bolze, A, Bondarenko, A, Borghesi, A, Bousfiha, A, Brodin, P, Bryceson, Y, Butte, M, Casanova, J, Casari, G, Christodoulou, J, Cobat, A, Colobran, R, Condino-Neto, A, Constantinescu, S, Cooper, M, Dalgard, C, Desai, M, Drolet, B, Duval, X, El Baghdadi, J, Eloy, P, Espinosa-Padilla, S, Fellay, J, Flores, C, Franco, J, Froidure, A, Gregersen, P, Grimbacher, B, Haerynck, F, Hagin, D, Halwani, R, Hammarstrom, L, Heath, J, Hsieh, E, Husebye, E, Imai, K, Itan, Y, Jouanguy, E, Kaja, E, Karamitros, T, Kisand, K, Ku, C, Lau, Y, Ling, Y, Lucas, C, Maniatis, T, Mansouri, D, Marodi, L, Mentre, F, Meyts, I, Milner, J, Mironska, K, Mogensen, T, Morio, T, Ng, L, Notarangelo, L, Novelli, A, Novelli, G, O'Farrelly, C, Okada, S, Okamoto, K, Ozcelik, T, Pan-Hammarstrom, Q, Pape, J, Perez de Diego, R, Perez-Tur, J, Perlin, D, Pesole, G, Planas, A, Prando, C, Pujol, A, Puel, A, Quintana-Murci, L, Ramaswamy, S, Renia, L, Resnick, I, Rodriguez-Gallego, C, Sancho-Shimizu, V, Sediva, A, Seppanen, M, Shahrooei, M, Shcherbina, A, Slaby, O, Snow, A, Soler-Palacin, P, Soumelis, V, Tancevski, I, Tayoun, A, Temel, S, Thorball, C, Tiberghien, P, Trouillet-Assant, S, Turvey, S, Uddin, K, Uddin, M, van de Beek, D, Vinh, D, von Bernuth, H, Wauters, J, Zatz, M, Zawadzki, P, Zhang, Q, Zhang, S, Bureau, S, Vacher, Y, Gysembergh-Houal, A, Demerville, L, Benleulmi-Chaachoua, A, Abad, S, Abassi, R, Abdellaoui, A, Abdelmalek, A, Abdoul, H, Abergel, H, Abeud, F, Abgrall, S, Abisror, N, Adechian, M, Aderdour, N, Admane, H, Adnet, F, Afritt, S, Agostini, H, Aguilar, C, Agut, S, Aiello, T, Kaci, M, Oufella, H, Ajeenthiravasan, G, Alauzy, V, Alby-Laurent, F, Allard, L, Alyanakian, M, Borrero, B, Amam, S, Amrouche, L, Andronikof, M, Anglicheau, D, Anguel, N, Annane, D, Aounzou, M, Aparicio, C, Aratus, G, Arlet, J, Arzoine, J, Aslangul, E, Assefi, M, Aubry, A, Audiffred, L, Audureau, E, Auger, C, Auregan, J, Awotar, C, Milla, S, Azan, D, Azemar, L, Azzouguen, B, Elrufaai, M, Badsi, A, Bakouboula, P, Balcerowiak, C, Balde, F, Baldivia, E, Bangamingo, E, Baptiste, A, Baran-Marszak, F, Barau, C, Barget, N, Baronnet, F, Barthelemy, R, Baudel, J, Baudry, C, Baudry, E, Beaugerie, L, Belamri, A, Belaube, N, Belilita, R, Bellassen, P, Belmokhtar, R, Beltran, I, Benainous, R, Benallaoua, M, Benamouzig, R, Benbara, A, Benhida, J, Benkhelouf, A, Benlagha, J, Benmostafa, C, Benothmane, S, Bentifraouine, M, Berard, L, Bernier, Q, Berti, E, Bertier, A, Berton, L, Bessis, S, Beurton, A, Bianco, C, Bianquis, C, Bidar, F, Blanche, P, Blayau, C, Bleibtreu, A, Blin, E, Bloch-Queyrat, C, Boissier, M, Bollens, D, Bolzoni, M, Bompard, R, Bonnet, N, Bonnouvrier, J, Botha, S, Boucenna, W, Bouchama, F, Bouchaud, O, Bouchghoul, H, Boudjebla, T, Boudjema, N, Bouffard, C, Bougle, A, Bouguerra, M, Bouras, L, Bourcier, A, Durand, A, Bourrier, A, Bouscarat, F, Bouvry, D, Bouziri, N, Bouzrara, O, Bribier, S, Brugier, D, Brunel, M, Bui, E, Buisson, A, Bukreyeva, I, Bureau, C, Cadranel, J, Cailhol, J, Calin, R, Vega, C, Canavaggio, P, Cancella, M, Cantin, D, Cao, A, Carbillon, L, Carlier, N, Cassard, C, Castor, G, Cauchy, M, Cha, O, Chaigne, B, Challal, S, Champion, K, Chariot, P, Chas, J, Chauveau, S, Chauvin, A, Chauvin, C, Chavarot, N, Chebbout, K, Cherai, M, Cherubini, I, Chevalier, A, Chiarabini, T, Chinet, T, Chocron, R, Choinier, P, Chommeloux, J, Choquet, C, Choupeaux, L, Chousterman, B, Ciocan, D, Clarke, A, Clavere, G, Clavier, F, Clement, K, Clerc, S, Cohen, Y, Cohen, F, Cohen, A, Coilly, A, Colboc, H, Colin, P, Collet, M, Comarmond, C, Combacon, E, Combes, A, Comparon, C, Constantin, J, Cordel, H, Cordier, A, Costantini, A, Chalumeau, N, Couffignal, C, Coupeau, D, Creange, A, Lamarre, Y, Da Silveira, C, Guibal El Kayani, S, De Castro, N, De Rycke, Y, Del Pozo, L, Delannoy, Q, Delay, M, Deleris, R, Delforge, J, Delphine, L, Demare, N, Demeret, S, Demoule, A, Deniau, A, Depret, F, Derolez, S, Derradji, O, Derridj, N, Descamps, V, Deschamps, L, Desconclois, C, Desnos, C, Desongins, K, Dhote, R, Diallo, B, Didier, M, Diemer, M, Diez, S, Djadi-Prat, J, Djamouri Monnory, F, Djebara, S, Djebra, N, Djietcheu, M, Djillali, H, Djouadi, N, Donneger, S, Santos, C, Dournon, N, Dres, M, Droctove, L, Drogrey, M, Dropy, M, Drouet, E, Dubosq, V, Dubreucq, E, Dubus, E, Duchemann, B, Duchenoy, T, Dudoignon, E, Dufau, R, Dumas, F, Duran, C, Duron, E, Durrbach, A, Duvivier, C, Ebstein, N, El Khalifa, J, Elabbadi, A, Elie, C, Ernotte, G, Esling, A, Etienne, M, Eyer, X, Fartoukh, M, Fayali, T, Fermaut, M, Fiorentino, A, Fliss, S, Fournier, M, Fournier, B, Francois, H, Freynet, O, Frigout, Y, Fromont, I, Fuentes, A, Furet, T, Galand, J, Garnier, M, Gaubert, A, Gaudry, S, Gaugain, S, Gauthier, D, Gautier, M, Georgin-Lavialle, S, Geromin, D, Ghalayini, M, Ghaleh, B, Ghezal, M, Gibelin, A, Gimeno, L, Girard, B, Leprieur, B, Gomes, D, Gomes-Pires, E, Gouge, A, Gouja, A, Goulet, H, Goupil, S, De Bouille, J, Gras, J, Greffe, S, Grimaldi, L, Guedeney, P, Guidet, B, Guillo, M, Gulczynski, M, Hadjam, T, Haguenauer, D, Hammal, S, Hammoudi, N, Hanon, O, Harrois, A, Hautem, C, Hekimian, G, Heming, N, Hermine, O, Ho, S, Houllier, M, Huot, B, Huscenot, T, Saied, W, Ikherbane, G, Imarazene, M, Ingiliz, P, Iratni, L, Jaureguiberry, S, Jean-Marc, J, Jeyarajasingham, D, Jouany, P, Jouis, V, Jourdaine, C, Kafif, O, Kallala, R, Katsahian, S, Kelesyan, L, Keo, V, Ketz, F, Khamis, W, Khelili, E, Khellaf, M, Kotokpo Youkou, C, Kounis, I, Kpalma, G, Krause, J, Labbe, V, Lacombe, K, Lacorte, J, Lafont, A, Lafont, E, Lagha, L, Lamhaut, L, Lancelot, A, Landman, C, Lanternier, F, Larcheveque, C, Combe, C, Lassel, L, Laverdant, B, Lavergne, C, Lavillegrand, J, Lazureanu, P, Le Guennec, L, Leberre, L, Leblanc, C, Leboyer, M, Lecomte, F, Lecorre, M, Leenhardt, R, Lefebvre, M, Lefebvre, B, Legendre, P, Leger, A, Legros, L, Legrosse, J, Lehuunghia, S, Lemarec, J, Leporrier-Ext, J, Lesein, M, Lesur, H, Levy, V, Levy, A, Lopes, E, Lopes, A, Lopez, V, Lopinto, J, Lortholary, O, Louadah, B, Loze, B, Lucas, M, Lucasamichi, A, Luong, L, Magazimama-Ext, A, Maingret, D, Mameri, L, Manivet, P, Mansouri, C, Marcault, E, Marey, J, Marin, N, Marois, C, Martin, O, Martineau, L, Martinez-Lopez, C, Martyniuck, P, De Farcy, P, Marzouk, N, Masmoudi, R, Mebazaa, A, Mechai, F, Mecozzi, F, Mediouni, C, Megarbane, B, Meghadecha, M, Mejean, E, Mekinian, A, Abdelhadi, N, Mekni, R, Meliti, T, Lima, B, Meng, P, Merbah, S, Messani, F, Messaoudi, Y, Mewasing, B, Meziane, L, Michelot-Burger, C, Mignot, F, Minka, F, Miyara, M, Moine, P, Molina, J, Montegnies-Boulet, A, Monti, A, Montlahuc, C, Montout, A, Moores, A, Morbieu, C, Mortelette, H, Mouly, S, Muzaffar, R, Nacerddine, C, Nadal, M, Nadif, H, Nassarmadji, K, Natella, P, Ndingamondze, S, Neraal, S, Nguyen, C, N'Guyen, B, Larmurier, I, Nlomenyengue, L, Noel, N, Nunes, H, Omar, E, Ouazene, Z, Ouedraogo, E, Ouelaa, W, Oukhedouma, A, Amara, Y, Oya, H, Oziel, J, Padilla, T, Paillaud, E, Paiva, S, Parfait, B, Parize, P, Parizot, C, Parrot, A, Pavot, A, Peaudecerf, L, Pene, F, Pepin, M, Pernet, J, Pernin, C, Petit, M, Peyrony, O, Pietri, M, Pietri, O, De Chambrun, M, Pinson, M, Pintado, C, Piquard, V, Pires, C, Planquette, B, Poirier, S, Pomel, A, Pons, S, Ponscarme, D, Pourcelot, A, Pourcher, V, Pouvaret, A, Prever, F, Previlon, M, Prevost, M, Provoost, M, Quemeneur, C, Rafat, C, Rami, A, Ranque, B, Raphael, M, Raphalen, J, Rastoin, A, Raux, M, Rebai, A, Reby, M, Regent, A, Regrag, A, Resche-Rigon, M, Ressaire, Q, Richard, C, Richard, M, Robert, M, Rohaut, B, Rolland-Debord, C, Ropers, J, Roque-Afonso, A, Rosso, C, Rousseaux, M, Rousseaux, N, Roux, S, Roux, L, Rouzaud, C, Rozes, A, Rubenstein, E, Sabate, J, Sabet, S, Sacleux, S, Kermanach, N, Saliba, F, Salmon, D, Savale, L, Savary, G, Sberro, R, Scemla, A, Schlemmer, F, Schwartz, M, Sedfi, S, Sefir-Kribel, S, Seksik, P, Sellier, P, Selves, A, Sembach, N, Semerano, L, Senat, M, Sene, D, Serris, A, Sese, L, Sghiouar, N, Sigaux, J, Siguier, M, Silvain, J, Simon, N, Simon, T, Skandri, L, Slimani, M, Snauwaert, A, Sokol, H, Soliman, H, Soltani, N, Soyer, B, Steg, G, Suarez, L, Szwebel, T, Taffame, K, Tandjaoui-Lambiotte, Y, Tantet, C, Tateo, M, Theodose, I, Thiebaud, P, Thomas, C, Tiercelet, K, Tisserand, J, Tomczak, C, Torelino, K, Touam-Ext, F, Toumi, L, Toury, G, Toy-Miou, M, Dinh Thanh Lien, O, Trandinh, A, Treluyer, J, Trinque, B, Truchot, J, Tubiana, S, Tunesi, S, Turpin, M, Turpin, A, Urbina, T, Narvaez, R, Uzunhan, Y, Vaittinadaayar, P, Valent, A, Valentian, M, Valin, N, Vallet, H, Vaz, M, Vazquezibarra, M, Vedie, B, Velly, L, Verstuyft, C, Viallette, C, Vicaut, E, Vignes, D, Vimpere, D, Virlouvet, M, Voiriot, G, Voisot, L, Weiss, E, Weiss, N, Winchenne, A, Yordanov, Y, Zafrani, L, Zaidan, M, Zaidi, W, Zak, C, Zarhrate-Ghoul, A, Zatout, O, Zeino, S, Zeitouni, M, Zemirli, N, Zerah, L, Zia, O, Ziol, M, Zolario, O, Zuber, J, Andrejak, C, Angoulvant, F, Bachelet, D, Bartoli, M, Basmaci, R, Behillil, S, Beluze, M, Benkerrou, D, Bhavsar, K, Bouadma, L, Bouchez, S, Bouscambert, M, Cervantes-Gonzalez, M, Chair, A, Chirouze, C, Coelho, A, Couffin-Cadiergues, S, D'Ortenzio, E, Debray, M, Deconinck, L, Deplanque, D, Descamps, D, Desvallee, M, Diallo, A, Diouf, A, Dorival, C, Dubos, F, Elharrar, B, Enouf, V, Esperou, H, Esposito-Farese, M, Devouge, E, Gault, N, Gaymard, A, Gigante, T, Gilg, M, Guedj, J, Hoctin, A, Hoffmann, I, Houas, I, Hulot, J, Jaafoura, S, Kaguelidou, F, Kali, S, Khalil, A, Khan, C, Laouenan, C, Laribi, S, Le, M, Le Hingrat, Q, Le Mestre, S, Le Nagard, H, Lescure, F, Letrou, S, Levy, Y, Lina, B, Lingas, G, Lucet, J, Malvy, D, Mambert, M, Meziane, A, Mouquet, H, Mullaert, J, Neant, N, Nguyen, D, Noret, M, Nseir, S, Papadopoulos, A, Paul, C, Peiffer-Smadja, N, Perpoint, T, Petrov-Sanchez, V, Peytavin, G, Pham, H, Picone, O, Puechal, O, Rabaud, C, Rosa-Calatrava, M, Rossignol, B, Rossignol, P, Roy, C, Schneider, M, Su, R, Tardivon, C, Tellier, M, Teoule, F, Terrier, O, Timsit, J, Tual, C, van der Werf, S, Vanel, N, Veislinger, A, Visseaux, B, Wiedemann, A, Yazdanpanah, Y, Alavoine, L, Charpentier, C, Dechanet, A, Ecobichon, J, Frezouls, W, Houhou, N, Lehacaut, J, Manchon, P, Nouroudine, M, Quintin, C, Thy, M, Vignali, V, Chahine, A, Waucquier, N, Migaud, M, Djossou, F, Mergeay-Fabre, M, Lucarelli, A, Demar, M, Bruneau, L, Gerardin, P, Maillot, A, Payet, C, Laviolle, B, Laine, F, Paris, C, Desille-Dugast, M, Fouchard, J, Pistone, T, Perreau, P, Gissot, V, Goas, C, Montagne, S, Richard, L, Bouiller, K, Desmarets, M, Meunier, A, Bourgeon, M, Lefevre, B, Jeulin, H, Legrand, K, Lomazzi, S, Tardy, B, Gagneux-Brunon, A, Bertholon, F, Botelho-Nevers, E, Kouakam, C, Nicolas, L, Roufai, L, Amat, K, Hendou, S, Foti, G, Citerio, G, Contro, E, Pesci, A, Valsecchi, M, Cazzaniga, M, Bellani, G, Abad, J, Accordino, G, Angelini, M, Aguilera-Albesa, S, Aguilo-Cucurull, A, Ozkan, E, Darazam, I, Roblero Albisures, J, Aldave, J, Ramos, M, Khan, T, Aliberti, A, Nadji, S, Alkan, G, Alkhater, S, Allardet-Servent, J, Allende, L, Alonso-Arias, R, Alshahrani, M, Alsina, L, Amoura, Z, Antoli, A, Arrestier, R, Aubart, M, Auguet, T, Avramenko, I, Aytekin, G, Azot, A, Bahram, S, Bajolle, F, Baldanti, F, Baldolli, A, Ballester, M, Barrou, B, Barzaghi, F, Basso, S, Bayhan, G, Bezrodnik, L, Bilbao, A, Blanchard-Rohner, G, Blanco, I, Blandinieres, A, Blazquez-Gamero, D, Bloomfield, M, Bolivar-Prados, M, Borie, R, Botdhlo-Nevers, E, Bousquet, A, Boutolleau, D, Bouvattier, C, Boyarchuk, O, Bravais, J, Briones, M, Brunner, M, Bruno, R, Bueno, M, Bukhari, H, Bustamante, J, Caceres Agra, J, Capra, R, Carapito, R, Carrabba, M, Casasnovas, C, Caseris, M, Cassaniti, I, Castelle, M, Castelli, F, Castillo de Vera, M, Castro, M, Catherinot, E, Celik, J, Ceschi, A, Chalumeau, M, Charbit, B, Boulanger, C, Clave, P, Clotet, B, Codina, A, Comoli, P, Corsico, A, Coskuner, T, Cvetkovski, A, Cyrus, C, Dalmau, D, Danion, F, Darley, D, Das, V, Dauby, N, Dauger, S, De Munte, P, de Pontual, L, Dehban, A, Delplancq, G, Desguerre, I, Di Sabatino, A, Diehl, J, Dobbelaere, S, Dominguez-Garrido, E, Dubost, C, Ekwall, O, Bozdemir, S, Elnagdy, M, Emiroglu, M, Endo, A, Erdeniz, E, Aytekin, S, Etxart Lasa, M, Euvrard, R, Fabio, G, Faivre, L, Falck, A, Faure, M, Arquero, M, Ferrer, R, Ferreres, J, Francois, B, Fumado, V, Fung, K, Fusco, F, Gagro, A, Solis, B, Garcon, P, Gaussem, P, Gayretli, Z, Gil-Herrera, J, Gilardin, L, Gatineau, A, Girona-Alarcon, M, Cifuentes Godinez, K, Goffard, J, Gonzales, N, Gonzalez-Granado, L, Gonzalez-Montelongo, R, Guerder, A, Gulhan, B, Gumucio, V, Hanitsch, L, Gunst, J, Gut, M, Hadjadj, J, Hancerli, S, Hariyan, T, Hatipoglu, N, Heppekcan, D, Hernandez-Brito, E, Ho, P, Holanda-Pena, M, Horcajada, J, Hraiech, S, Humbert, L, Hung, I, Iglesias, A, Inigo-Campos, A, Jamme, M, Arranz, M, Jimeno, M, Jordan, I, Kanik-Yuksek, S, Kara, Y, Karahan, A, Karbuz, A, Yasar, K, Kasapcopur, O, Kashimada, K, Keles, S, Demirkol, Y, Kido, Y, Kizil, C, Kilic, A, Klocperk, A, Koutsoukou, A, Krol, Z, Ksouri, H, Kuentz, P, Kwan, A, Kwan, Y, Kwok, J, Lagier, J, Lam, D, Lampropoulou, V, Le Bourgeois, F, Leo, Y, Lopez, R, Leung, D, Levin, M, Levy, M, Levy, R, Li, Z, Lilleri, D, Adrian Bolanos Lima, E, Linglart, A, Lopez-Collazo, E, Lorenzo-Salazar, J, Louapre, C, Lubetzki, C, Lung, K, Luyt, C, Lye, D, Magnone, C, Marchioni, E, Marioli, C, Marjani, M, Marques, L, Pereira, J, Martin-Nalda, A, Pueyo, D, Martinez-Picado, J, Marzana, I, Mata-Martinez, C, Mathian, A, Matos, L, Matthews, G, Mayaux, J, McLaughlin-Garcia, R, Meersseman, P, Mege, J, Mekontso-Dessap, A, Melki, I, Meloni, F, Meritet, J, Merlani, P, Akcan, O, Mezidi, M, Migeotte, I, Millereux, M, Million, M, Mirault, T, Mircher, C, Mirsaeidi, M, Mizoguchi, Y, Modi, B, Mojoli, F, Moncomble, E, Melian, A, Martinez, A, Morandeira, F, Morange, P, Mordacq, C, Morelle, G, Munoz-Barrera, A, Nafati, C, Nagashima, S, Nakagama, Y, Neven, B, Neves, J, Ng, Y, Hubert, N, Medina, Y, Cuadros, E, Karabela, S, Ocejo-Vinyals, J, Oualha, M, Ouedrani, A, Ozkaya-Parlakay, A, Pagani, M, Papadaki, M, Parola, P, Pascreau, T, Paul, S, Paz-Artal, E, Pedraza, S, Gonzalez Pellecer, N, Pellegrini, S, Perez-Fernandez, X, Philippe, A, Philippot, Q, Picod, A, Pineton de Chambrun, M, Piralla, A, Planas-Serra, L, Ploin, D, Poissy, J, Poncelet, G, Poulakou, G, Pouletty, M, Pourshahnazari, P, Qiu-Chen, J, Quentric, P, Rambaud, T, Raoult, D, Raoult, V, Rebillat, A, Redin, C, Resmini, L, Ricart, P, Richard, J, Rigo-Bonnin, R, Rivet, N, Riviere, J, Rocamora-Blanch, G, Rodero, M, Rodrigo, C, Rodriguez, L, Rodriguez-Palmero, A, Romero, C, Rothenbuhler, A, Roux, D, Rovina, N, Rozenberg, F, Ruch, Y, Ruiz, M, Ruiz del Prado, M, Ruiz-Rodriguez, J, Sabater-Riera, J, Saks, K, Salagianni, M, Sanchez, O, Sanchez-Montalva, A, Sanchez-Ramon, S, Schidlowski, L, Schluter, A, Schmidt, J, Schmidt, M, Schuetz, C, Schweitzer, C, Scolari, F, Seijo, L, Seminario, A, Seng, P, Senoglu, S, Llovich, A, Siguret, V, Siouti, E, Smadja, D, Smith, N, Sobh, A, Solanich, X, Sole-Violan, J, Soler, C, Sozeri, B, Stella, G, Stepanovskiy, Y, Stoclin, A, Taccone, F, Taupin, J, Tavernier, S, Tello, L, Terrier, B, Thiery, G, Thorn, K, Thumerelle, C, Tipu, I, Tolstrup, M, Tomasoni, G, Toubiana, J, Alvarez, J, Triantafyllia, V, Troya, J, Tsang, O, Tserel, L, Tso, E, Tucci, A, Tuter Oz, S, Ursini, M, Utsumi, T, Vabres, P, Valencia-Ramos, J, Van Den Rym, A, Vandernoot, I, Velez-Santamaria, V, Zuniga Veliz, S, Vidigal, M, Viel, S, Villain, C, Vilaire-Meunier, M, Villar-Garcia, J, Vincent, A, Van der Linden, D, Volokha, A, Vuotto, F, Wauters, E, Wu, A, Wu, T, Yahsi, A, Yesilbas, O, Yildiz, M, Young, B, Yukselmis, U, Zecca, M, Zuccaro, V, 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U., Uzunhan Y., Vaittinadaayar P., Valent A., Valentian M., Valin N., Vallet H., Vaz M., Vazquezibarra M. -A., Vedie B., Velly L., Verstuyft C., Viallette C., Vicaut E., Vignes D., Vimpere D., Virlouvet M., Voiriot G., Voisot L., Weiss E., Weiss N., Winchenne A., Yordanov Y., Zafrani L., Zaidan M., Zaidi W., Zak C., Zarhrate-Ghoul A., Zatout O., Zeino S., Zeitouni M., Zemirli N., Zerah L., Zia O., Ziol M., Zolario O., Zuber J., Andrejak C., Angoulvant F., Bachelet D., Bartoli M., Basmaci R., Behillil S., Beluze M., Benkerrou D., Bhavsar K., Bouadma L., Bouchez S., Bouscambert M., Cervantes-Gonzalez M., Chair A., Chirouze C., Coelho A., Couffin-Cadiergues S., d'Ortenzio E., Debray M. -P., Deconinck L., Deplanque D., Descamps D., Desvallee M., Diallo A., Diouf A., Dorival C., Dubos F., Elharrar B., Enouf V., Esperou H., Esposito-Farese M., Devouge E. F., Gault N., Gaymard A., Gigante T., Gilg M., Guedj J., Hoctin A., Hoffmann I., Houas I., Hulot J. -S., Jaafoura S., Kaguelidou F., Kali S., Khalil A., Khan C., Laouenan C., Laribi S., Le M., Le Hingrat Q., Le Mestre S., Le Nagard H., Lescure F. -X., Letrou S., Levy Y., Lina B., Lingas G., Lucet J. -C., Malvy D., Mambert M., Meziane A., Mouquet H., Mullaert J., Neant N., Nguyen D., Noret M., Nseir S., Papadopoulos A., Paul C., Peiffer-Smadja N., Perpoint T., Petrov-Sanchez V., Peytavin G., Pham H., Picone O., Puechal O., Rabaud C., Rosa-Calatrava M., Rossignol B., Rossignol P., Roy C., Schneider M., Su R., Tardivon C., Tellier M. -C., Teoule F., Terrier O., Timsit J. -F., Tual C., van der Werf S., Vanel N., Veislinger A., Visseaux B., Wiedemann A., Yazdanpanah Y., Alavoine L., Charpentier C., Dechanet A., Ecobichon J. -L., Frezouls W., Houhou N., Lehacaut J., Manchon P., Nouroudine M., Quintin C., Thy M., Vignali V., Chahine A., Waucquier N., Migaud M. -C., Djossou F., Mergeay-Fabre M., Lucarelli A., Demar M., Bruneau L., Gerardin P., Maillot A., Payet C., Laviolle B., Laine F., Paris C., Desille-Dugast M., Fouchard J., Pistone T., Perreau P., Gissot V., Goas C. L. E., Montagne S., Richard L., Bouiller K., Desmarets M., Meunier A., Bourgeon M., Lefevre B., Jeulin H., Legrand K., Lomazzi S., Tardy B., Gagneux-Brunon A., Bertholon F., Botelho-Nevers E., Kouakam C., Nicolas L., Roufai L., Amat K., Hendou S., Foti G., Citerio G., Contro E., Pesci A., Valsecchi M. G., Cazzaniga M., Bellani G., Abad J., Accordino G., Angelini M., Aguilera-Albesa S., Aguilo-Cucurull A., Ozkan E. A., Darazam I. A., Roblero Albisures J. A., Aldave J. C., Ramos M. A., Khan T. A., Aliberti A., Nadji S. A., Alkan G., AlKhater S. A., Allardet-Servent J., Allende L. M., Alonso-Arias R., Alshahrani M. S., Alsina L., Amoura Z., Antoli A., Arrestier R., Aubart M., Auguet T., Avramenko I., Aytekin G., Azot A., Bahram S., Bajolle F., Baldanti F., Baldolli A., Ballester M., Barrou B., Barzaghi F., Basso S., Bayhan G. I., Bezrodnik L., Bilbao A., Blanchard-Rohner G., Blanco I., Blandinieres A., Blazquez-Gamero D., Bloomfield M., Bolivar-Prados M., Borie R., Botdhlo-Nevers E., Bousquet A., Boutolleau D., Bouvattier C., Boyarchuk O., Bravais J., Briones M. L., Brunner M. -E., Bruno R., Bueno M. R. P., Bukhari H., Bustamante J., Caceres Agra J. J., Capra R., Carapito R., Carrabba M., Casasnovas C., Caseris M., Cassaniti I., Castelle M., Castelli F., Castillo de Vera M., Castro M. V., Catherinot E., Celik J. B., Ceschi A., Chalumeau M., Charbit B., Boulanger C., Clave P., Clotet B., Codina A., Comoli P., Corsico A. G., Coskuner T., Cvetkovski A., Cyrus C., Dalmau D., Danion F., Darley D. R., Das V., Dauby N., Dauger S., De Munte P., de Pontual L., Dehban A., Delplancq G., Desguerre I., Di Sabatino A., Diehl J. -L., Dobbelaere S., Dominguez-Garrido E., Dubost C., Ekwall O., Bozdemir S. E., Elnagdy M. H., Emiroglu M., Endo A., Erdeniz E. H., Aytekin S. E., Etxart Lasa M. P., Euvrard R., Fabio G., Faivre L., Falck A., Fartoukh M., Faure M., Arquero M. F., Ferrer R., Ferreres J., Francois B., Fumado V., Fung K. S. C., Fusco F., Gagro A., Solis B. G., Garcon P., Gaussem P., Gayretli Z., Gil-Herrera J., Gilardin L., Gatineau A. G., Girona-Alarcon M., Cifuentes Godinez K. A., Goffard J. -C., Gonzales N., Gonzalez-Granado L. I., Gonzalez-Montelongo R., Guerder A., Gulhan B., Gumucio V. D., Hanitsch L. G., Gunst J., Gut M., Hadjadj J., Hancerli S., Hariyan T., Hatipoglu N., Heppekcan D., Hernandez-Brito E., Ho P. -K., Holanda-Pena M. S., Horcajada J. P., Hraiech S., Humbert L., Hung I. F. N., Iglesias A. D., Inigo-Campos A., Jamme M., Arranz M. J., Jimeno M. -T., Jordan I., Kanik-Yuksek S., Kara Y., Karahan A., Karbuz A., Yasar K. K., Kasapcopur O., Kashimada K., Keles S., Demirkol Y. K., Kido Y., Kizil C., Kilic A. O., Klocperk A., Koutsoukou A., Krol Z. J., Ksouri H., Kuentz P., Kwan A. M. C., Kwan Y. W. M., Kwok J. S. Y., Lagier J. -C., Lam D. S. Y., Lampropoulou V., Le Bourgeois F., Leo Y. -S., Lopez R. L., Leung D., Levin M., Levy M., Levy R., Li Z., Lilleri D., Adrian Bolanos Lima E. J., Linglart A., Lopez-Collazo E., Lorenzo-Salazar J. M., Louapre C., Lubetzki C., Lung K. -C., Luyt C. -E., Lye D. C., Magnone C., Marchioni E., Marioli C., Marjani M., Marques L., Pereira J. M., Martin-Nalda A., Pueyo D. M., Martinez-Picado J., Marzana I., Mata-Martinez C., Mathian A., Matos L. R. B., Matthews G. V., Mayaux J., McLaughlin-Garcia R., Meersseman P., Mege J. -L., Mekontso-Dessap A., Melki I., Meloni F., Meritet J. -F., Merlani P., Akcan O. M., Mezidi M., Migeotte I., Millereux M., Million M., Mirault T., Mircher C., Mirsaeidi M., Mizoguchi Y., Modi B. P., Mojoli F., Moncomble E., Melian A. M., Martinez A. M., Morandeira F., Morange P. -E., Mordacq C., Morelle G., Mouly S. J., Munoz-Barrera A., Nafati C., Nagashima S., Nakagama Y., Neven B., Neves J. F., Ng Y. -Y., Hubert Nielly, Medina Y. N., Cuadros E. N., Karabela S. N., Ocejo-Vinyals J. G., Oualha M., Ouedrani A., Ozkaya-Parlakay A., Pagani M., Papadaki M., Parola P., Pascreau T., Paul S., Paz-Artal E., Pedraza S., Gonzalez Pellecer N. C., Pellegrini S., Perez-Fernandez X. L., Philippe A., Philippot Q., Picod A., Pineton de Chambrun M., Piralla A., Planas-Serra L., Ploin D., Poissy J., Poncelet G., Poulakou G., Pouletty M. S., Pourshahnazari P., Qiu-Chen J. L., Quentric P., Rambaud T., Raoult D., Raoult V., Rebillat A. -S., Redin C., Resmini L., Ricart P., Richard J. -C., Rigo-Bonnin R., Rivet N., Riviere J. G., Rocamora-Blanch G., Rodero M. P., Rodrigo C., Rodriguez L. A., Rodriguez-Palmero A., Romero C. S., Rothenbuhler A., Roux D., Rovina N., Rozenberg F., Ruch Y., Ruiz M., Ruiz del Prado M. Y., Ruiz-Rodriguez J. C., Sabater-Riera J., Saks K., Salagianni M., Sanchez O., Sanchez-Montalva A., Sanchez-Ramon S., Schidlowski L., Schluter A., Schmidt J., Schmidt M., Schuetz C., Schweitzer C. E., Scolari F., Seijo L., Seminario A. G., Seng P., Senoglu S., Seppanen M., Llovich A. S., Siguret V., Siouti E., Smadja D. M., Smith N., Sobh A., Solanich X., Sole-Violan J., Soler C., Sozeri B., Stella G. M., Stepanovskiy Y., Stoclin A., Taccone F., Taupin J. -L., Tavernier S. J., Tello L. V., Terrier B., Thiery G., Thorn K., Thumerelle C., Tipu I., Tolstrup M., Tomasoni G., Toubiana J., Alvarez J. T., Triantafyllia V., Troya J., Tsang O. T. Y., Tserel L., Tso E. Y. K., Tucci A., Tuter Oz S. K., Ursini M. V., Utsumi T., Vabres P., Valencia-Ramos J., Van Den Rym A. M., Vandernoot I., Velez-Santamaria V., Zuniga Veliz S. P., Vidigal M. C., Viel S., Villain C., Vilaire-Meunier M. E., Villar-Garcia J., Vincent A., Van der Linden D., Volokha A., Vuotto F., Wauters E., Wu A. K. L., Wu T. -C., Yahsi A., Yesilbas O., Yildiz M., Young B. E., Yukselmis U., Zecca M., Zuccaro V., Van Praet J., Lambrecht B. N., Van Braeckel E., Bosteels C., Hoste L., Hoste E., Bauters F., De Clercq J., Heijmans C., Slabbynck H., Naesens L., Florkin B., Young M. -A., Willis A., Lapuente-Suanzes P., de Andres-Martin A., Berkell M., Carelli V., Malhotra S., Mattiaccio A., Pippucci T., Seri M., Tacconelli E., van Agtmael M., Algera A. G., Appelman B., van Baarle F., Bax D., Beudel M., Bogaard H. J., Bomers M., Bonta P., Bos L., Botta M., de Brabander J., de Bree G., de Bruin S., Buis D. T. P., Bugiani M., Bulle E., Chouchane O., Cloherty A., Dijkstra M., Dongelmans D. A., Dujardin R. W. G., Elbers P., Fleuren L., Geerlings S., Geijtenbeek T., Girbes A., Goorhuis B., Grobusch M. P., Hafkamp F., Hagens L., Hamann J., Harris V., Hemke R., Hermans S. M., Heunks L., Hollmann M., Horn J., Hovius J. W., de Jong M. D., Koning R., Lim E. H. T., van Mourik N., Nellen J., Nossent E. J., Paulus F., Peters E., Pina-Fuentes D. A. I., van der Poll T., Preckel B., Prins J. M., Raasveld J., Reijnders T., de Rotte M. C. F. J., Schinkel M., Schultz M. J., Schrauwen F. A. P., Schuurmans A., Schuurmans J., Sigaloff K., Slim M. A., Smeele P., Smit M., Stijnis C. S., Stilma W., Teunissen C., Thoral P., Tsonas A. M., Tuinman P. R., van der Valk M., Veelo D. P., Volleman C., de Vries H., Vught L. A., van Vugt M., Wouters D., Zwinderman A. H., Brouwer M. C., Wiersinga W. J., Vlaar A. P. J., Tompkins M. F., Alba C., Hupalo D. N., Rosenberger J., Sukumar G., Wilkerson M. D., Zhang X., Lack J., Oler A. J., Dobbs K., Delmonte O. M., Danielson J. J., Biondi A., Bettini L. R., D'Angio M., Beretta I., Imberti L., Sottini A., Quaresima V., Quiros-Roldan E., Rossi C., Castagnoli R., Montagna D., Licari A., Marseglia G. L., Chiu C., and Grzymski J. J.
- Abstract
Human genetic studies of critical COVID-19 pneumonia have revealed the essential role of type I interferon-dependent innate immunity to SARS-CoV-2 infection. Conversely, an association between the HLA-B∗15:01 allele and asymptomatic SARS-CoV-2 infection in unvaccinated individuals was recently reported, suggesting a contribution of pre-existing T cell-dependent adaptive immunity. We report a lack of association of classical HLA alleles, including HLA-B∗15:01, with pre-omicron asymptomatic SARS-CoV-2 infection in unvaccinated participants in a prospective population-based study in the United States (191 asymptomatic vs. 945 symptomatic COVID-19 cases). Moreover, we found no such association in the international COVID Human Genetic Effort cohort (206 asymptomatic vs. 574 mild or moderate COVID-19 cases and 1,625 severe or critical COVID-19 cases). Finally, in the Human Challenge Characterisation study, the three HLA-B∗15:01 individuals infected with SARS-CoV-2 developed symptoms. As with other acute primary infections studied, no classical HLA alleles favoring an asymptomatic course of SARS-CoV-2 infection were identified.
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- 2024
106. Évaluation des résultats et de la faisabilité de la posturothérapie (hydratation, inversion, vibration) dans le traitement des calculs des voies urinaires supérieures
- Author
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Delonca, R., Anastay, V., Gondran-Tellier, B., Baboudjian, M., Di Crocco, E., Maffei, P., Thirakul, S., Bienvenu, L., Delaporte, V., Akiki, A., Gaillet, S., Karsenty, G., Lechevallier, E., and Boissier, R.
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- 2023
- Full Text
- View/download PDF
107. Designing funicular grids with planar quads using isotropic Linear-Weingarten surfaces
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Tellier, X., Douthe, C., Baverel, O., and Hauswirth, L.
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- 2023
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108. Architectural Structures from Quad Meshes with Planar Parameter Lines
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Wang, Cheng, Jiang, Caigui, Wang, Hui, Tellier, Xavier, and Pottmann, Helmut
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- 2023
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- View/download PDF
109. Disruption of Botryococcus braunii colonies by glycoside hydrolases
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Saumonneau, Amélie, Lagneau, Nathan, Ogonda, Lydia Awuor, Dupré, Catherine, Dutertre, Stéphanie, Grizeau, Dominique, Tellier, Charles, Grandjean, Cyrille, and Daligault, Franck
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- 2023
- Full Text
- View/download PDF
110. A lumped parameter model of continuous/dispersed phases mass transfer for simulating in-vessel corium stratification transients
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Le Tellier, R.
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- 2023
- Full Text
- View/download PDF
111. Active surveillance in favorable intermediate-risk prostate cancer: A single-center experience
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Bandelier, Q., Bastide, C., Charvet, A.-L., Leclercq, L., Gondran-Tellier, B., Campagna, J., Long-Depaquit, T., Daniel, L., Rossi, D., Lechevallier, E., and Baboudjian, M.
- Published
- 2023
- Full Text
- View/download PDF
112. Anderson acceleration and linear diffusion for accelerating the [formula omitted]-eigenvalue problem for the transport equation
- Author
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Calloo, Ansar, Le Tellier, Romain, and Couyras, David
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- 2023
- Full Text
- View/download PDF
113. Polygenic Health Index, General Health, and Pleiotropy: Sibling Analysis and Disease Risk Reduction
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Erik Widen, Louis Lello, Timothy G. Raben, Laurent C. A. M. Tellier, and Stephen D. H. Hsu
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Medicine ,Science - Abstract
Abstract We construct a polygenic health index as a weighted sum of polygenic risk scores for 20 major disease conditions, including, e.g., coronary artery disease, type 1 and 2 diabetes, schizophrenia, etc. Individual weights are determined by population-level estimates of impact on life expectancy. We validate this index in odds ratios and selection experiments using unrelated individuals and siblings (pairs and trios) from the UK Biobank. Individuals with higher index scores have decreased disease risk across almost all 20 diseases (no significant risk increases), and longer calculated life expectancy. When estimated Disability Adjusted Life Years (DALYs) are used as the performance metric, the gain from selection among ten individuals (highest index score vs average) is found to be roughly 4 DALYs. We find no statistical evidence for antagonistic trade-offs in risk reduction across these diseases. Correlations between genetic disease risks are found to be mostly positive and generally mild. These results have important implications for public health and also for fundamental issues such as pleiotropy and genetic architecture of human disease conditions.
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- 2022
- Full Text
- View/download PDF
114. Efficient sweep kernels on shared-memory architectures for the discrete ordinates neutron transport equation on Cartesian and hexagonal geometries
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Suau Gabriel, Calloo Ansar, Baron Rémi, Le Tellier Romain, and Gautier Thierry
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Physics ,QC1-999 - Abstract
This paper describes the implementation of DONUT, a small multi-group SN-DG transport solver that aims at providing efficient and portable sweep kernels on shared-memory architectures for Cartesian and hexagonal geometries. DONUT heavily relies on the Kokkos C++ library for portability and genericity. First encouraging performance results are presented for multicore CPU architectures.
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- 2024
- Full Text
- View/download PDF
115. An Immunological Axis Involving Interleukin 1β and Leucine-Rich-α2-Glycoprotein Reflects Therapeutic Response of Children with Kawasaki Disease: Implications from the KAWAKINRA Trial
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Kessel, Christoph, Koné-Paut, Isabelle, Tellier, Stéphanie, Belot, Alexandre, Masjosthusmann, Katja, Wittkowski, Helmut, Fuehner, Sabrina, Rossi-Semerano, Linda, Dusser, Perrine, Marie, Isabelle, Boukhedouni, Nadja, Agostini, Helène, Piedvache, Céline, and Foell, Dirk
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- 2022
- Full Text
- View/download PDF
116. Do voters choose rationally, irrationally or at random? Data and theory for proportional elections
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Hösel, Volker, Müller, Johannes, and Tellier, Aurélien
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Physics - Physics and Society ,97M70 - Abstract
Data of proportional elections show a striking feature: If the parties are ranked according to the number of their voters, the number of votes grows exponentially with the rank of the party. This so-called Zipf's law has been reported before. We first show this correlation in results from recent elections in Germany, France and republican primaries in the USA. However the mechanism generating such feature remains so far unexplained. We develop a mathematical model of voter grouping that is only based on the word of mouth and not on political contents. The model is close to the infinite allele model and the Ewens sampling formula that are well known in population genetics. Strikingly, the model generates output agreeing very well with the observed election data. We further identify a cannibalism effect in Germany, whereby parties above the 5% threshold withdraw votes from parties just below the threshold. We demonstrate that the number of parties present in the parliament can be predicted given the number of parties standing for election. Finally, the steady loss of big-tent parties in Germany in the last 20 years relates to the increasing number of parties since 1975. We discuss the interpretation and consequences of these findings for modern democracies and the rationality or lack thereof of voters' choices.
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- 2018
117. Benefit and Harm of Active Surveillance for Biopsy-proven Renal Oncocytoma: A Systematic Review and Pooled Analysis
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Michael Baboudjian, Daniel Moser, Takafumi Yanagisawa, Bastien Gondran-Tellier, Eva M. Compérat, Damien Ambrosetti, Laurent Daniel, Cyrille Bastide, Shahrokh F. Shariat, Eric Lechevallier, Pietro Diana, Alberto Breda, Benjamin Pradere, and Romain Boissier
- Subjects
Oncocytoma ,Renal ,Biopsy ,Surveillance ,Review ,Diseases of the genitourinary system. Urology ,RC870-923 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Context: Active surveillance (AS) of biopsy-proven renal oncocytomas may reduce overtreatment. However, on biopsy, the risk of misdiagnosis owing principally to entities with peculiar hybrids and overlap morphology, and phenotypes argues for early intervention. Objective: To assess the benefit and harm of AS in biopsy-proven renal oncocytoma. Evidence acquisition: A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). We systematically searched PubMed, Scopus, and Web of Science databases from September 26 up to October 2021, for studies that analyzed the outcomes of AS in patients with biopsy-proven renal oncocytoma. Evidence synthesis: A total of ten studies with 633 patients met our inclusion criteria and were included for analysis. After a median follow-up of 34.5 mo (95% confidence interval [CI] 30.6–38.4), the overall definitive treatment rate from AS to definitive treatment was 17.3% (n = 75/433, six studies). The pooled pathological agreement between the initial renal mass biopsy and the surgical pathology report was 91.1%. The main indications for surgery during follow-up were rapid tumor growth and patient request. The pooled median growth rate was 1.55 mm/yr (95% CI 0.9–2.2). No metastasis or death related to renal oncocytoma was reported. Conclusions: Annual tumor growth of biopsy-proven renal oncocytoma is low. AS is oncologically safe, with favorable compliance of patients. Crossover to definitive treatment revealed a strong concordance between biopsy and final pathology. Further studies on the long-term outcomes of AS are needed. Patient summary: In this study, we examined the benefit and harm of active surveillance (AS) in biopsy-proven oncocytoma. Based on the available data, AS appears oncologically safe and may represent a promising alternative to immediate treatment. Patients should be included in AS decision discussions.
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- 2022
- Full Text
- View/download PDF
118. Practice Note: Menstrual Health Management in Humanitarian Settings
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Tellier, Marianne, Farley, Alex, Jahangir, Andisheh, Nakalema, Shamirah, Nalunga, Diana, Tellier, Siri, Bobel, Chris, editor, Winkler, Inga T., editor, Fahs, Breanne, editor, Hasson, Katie Ann, editor, Kissling, Elizabeth Arveda, editor, and Roberts, Tomi-Ann, editor
- Published
- 2020
- Full Text
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119. Active Surveillance for Intermediate-risk Prostate Cancer: A Systematic Review, Meta-analysis, and Metaregression
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Baboudjian, Michael, Breda, Alberto, Rajwa, Pawel, Gallioli, Andrea, Gondran-Tellier, Bastien, Sanguedolce, Francesco, Verri, Paolo, Diana, Pietro, Territo, Angelo, Bastide, Cyrille, Spratt, Daniel E., Loeb, Stacy, Tosoian, Jeffrey J., Leapman, Michael S., Palou, Joan, and Ploussard, Guillaume
- Published
- 2022
- Full Text
- View/download PDF
120. High-order Wachspress functions on convex polygons through computer algebra
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Labeurthre, David, Calloo, Ansar, and Le Tellier, Romain
- Published
- 2022
- Full Text
- View/download PDF
121. Diffuse-interface modelling of multicomponent diffusion and phase separation in the U-O-Zr ternary system
- Author
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Rasolofomanana, M.A., Cardon, C., Plapp, M., Philippe, T., Henry, H., and Le Tellier, R.
- Published
- 2022
- Full Text
- View/download PDF
122. Mutant Ras and inflammation-driven skin tumorigenesis is suppressed via a JNK-iASPP-AP1 axis
- Author
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Al Moussawi, Khatoun, Chung, Kathryn, Carroll, Thomas M., Osterburg, Christian, Smirnov, Artem, Lotz, Rebecca, Miller, Paul, Dedeić, Zinaida, Zhong, Shan, Oti, Martin, Kouwenhoven, Evelyn N., Asher, Ruth, Goldin, Robert, Tellier, Michael, Murphy, Shona, Zhou, Huiqing, Dötsch, Volker, and Lu, Xin
- Published
- 2022
- Full Text
- View/download PDF
123. Unraveling coevolutionary dynamics using ecological genomics
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Amandine, Cornille, Ebert, Dieter, Stukenbrock, Eva, Rodríguez de la Vega, Ricardo C., Tiffin, Peter, Croll, Daniel, and Tellier, Aurélien
- Published
- 2022
- Full Text
- View/download PDF
124. Butler‐based thermodynamic modeling of interfacial energies for in‐vessel corium systems
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Gajavalli, Kasi and Le Tellier, Romain
- Published
- 2022
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125. Les entretiens dans la recherche et la formation pour le tutorat en ligne
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Marco Cappellini, Marion Tellier, and Isabelle Cros
- Subjects
online tutoring ,explanatory interview ,stimulated-recall interview ,training of trainers ,argumentative theory of reason ,Special aspects of education ,LC8-6691 ,Theory and practice of education ,LB5-3640 - Abstract
In this paper, we focus on the epistemological issues surrounding the use of verbalisations in language didactics research. After a brief history of the introduction of these methods in language didactics, we question them in light of recent results in cognitive science. This leads us to formulate a proposal for training interviews based on stimulated-recall interviews and to consider that while the use of these tools for research may be problematic, it offers very promising possibilities for the professionalisation and training of trainers. We then propose a methodological framework for assessing the influence of interviews on the development of teaching, using an initial online tutoring training system as our field of study.
- Published
- 2023
- Full Text
- View/download PDF
126. Efficacy and safety of a self-applied carrageenan-based gel to prevent human papillomavirus infection in sexually active young women (CATCH study): an exploratory phase IIB randomised, placebo-controlled trialResearch in context
- Author
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Cassandra Laurie, Mariam El-Zein, Sarah Botting-Provost, Joseph E. Tota, Pierre-Paul Tellier, François Coutlée, Ann N. Burchell, and Eduardo L. Franco
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Carrageenan ,Gel ,HPV ,Human papillomavirus ,Microbicide ,Randomized controlled trial ,Medicine (General) ,R5-920 - Abstract
Summary: Background: Carrageenan demonstrated potent anti-HPV (human papillomavirus) activity in vitro and in animal models. The Carrageenan-gel Against Transmission of Cervical Human papillomavirus trial’s interim analysis (n = 277) demonstrated a 36% protective effect of carrageenan against incident HPV infections. Herein, we report the trial’s final results. Methods: In this exploratory phase IIB randomised, placebo-controlled trial, we recruited healthy women aged ≥18 years primarily from health service clinics at two Canadian Universities in Montreal. Participants were randomised (1:1) by the study coordinator (using computer-assisted block randomisation with randomly variable block sizes up to a block size of eight) to a carrageenan-based or placebo gel to be self-applied every other day for the first month and before/after intercourse. Participants, study nurses, and laboratory technicians (HPV testing and genotyping) were blinded to group assignment. At each visit (months 0, 0.5, 1, 3, 6, 9, 12), participants provided questionnaire data and a self-collected vaginal sample (tested for 36 HPV types, Linear Array). The primary outcome was type-specific HPV incidence (occurring at any follow-up visit). Intention-to-treat analyses for incidence were conducted using Cox proportional hazards regression models, including participants with ≥2 visits. Safety analyses included all participants randomised. This trial is registered with the ISRCTN registry, ISRCTN96104919. Findings: Between Jan 16, 2013 and Sept 30, 2020, 461 participants (enrolled) were randomly assigned to the carrageenan (n = 227) or placebo (n = 234) groups. Incidence and safety analyses included 429 and 461 participants, respectively. We found 51.9% (108/208) of participants in carrageenan and 66.5% (147/221) in placebo arm acquired ≥1 HPV type (hazard ratio 0.63 [95% CI: 0.49–0.81], p = 0.0003). Adverse events were reported by 34.8% (79/227) and 39.7% (93/234) of participants in carrageenan and placebo arm (p = 0.27), respectively. Interpretation: Consistent with the interim analysis, use of a carrageenan-based gel compared to placebo resulted in a 37% reduction in risk of incident genital HPV infections in women with no increase in adverse events. A carrageenan-based gel may complement HPV vaccination. Funding: Canadian Institutes of Health Research, CarraShield Labs Inc.
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- 2023
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127. Pro-inflammatory polarization and colorectal cancer modulate alternative and intronic polyadenylation in primary human macrophages
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Joana Wilton, Filipa Lopes de Mendonça, Isabel Pereira-Castro, Michael Tellier, Takayuki Nojima, Angela M. Costa, Jaime Freitas, Shona Murphy, Maria Jose Oliveira, Nicholas J. Proudfoot, and Alexandra Moreira
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primary human macrophages ,mRNA ,alternative polyadenylation ,cancer ,RNA sequencing ,intronic polyadenylation ,3'UTR ,SRSF12 ,Immunologic diseases. Allergy ,RC581-607 - Abstract
IntroductionMacrophages are essential cells of the immune system that alter their inflammatory profile depending on their microenvironment. Alternative polyadenylation in the 3’UTR (3’UTR-APA) and intronic polyadenylation (IPA) are mechanisms that modulate gene expression, particularly in cancer and activated immune cells. Yet, how polarization and colorectal cancer (CRC) cells affect 3’UTR-APA and IPA in primary human macrophages was unclear.MethodsIn this study, we isolated primary human monocytes from healthy donors, differentiated and polarized them into a pro-inflammatory state and performed indirect co-cultures with CRC cells. ChrRNA-Seq and 3’RNA-Seq was performed to quantify gene expression and characterize new 3’UTR-APA and IPA mRNA isoforms.ResultsOur results show that polarization of human macrophages from naïve to a pro-inflammatory state causes a marked increase of proximal polyA site selection in the 3’UTR and IPA events in genes relevant to macrophage functions. Additionally, we found a negative correlation between differential gene expression and IPA during pro-inflammatory polarization of primary human macrophages. As macrophages are abundant immune cells in the CRC microenvironment that either promote or abrogate cancer progression, we investigated how indirect exposure to CRC cells affects macrophage gene expression and 3’UTR-APA and IPA events. Co-culture with CRC cells alters the inflammatory phenotype of macrophages, increases the expression of pro-tumoral genes and induces 3’UTR-APA alterations. Notably, some of these gene expression differences were also found in tumor-associated macrophages of CRC patients, indicating that they are physiologically relevant. Upon macrophage pro-inflammatory polarization, SRSF12 is the pre-mRNA processing gene that is most upregulated. After SRSF12 knockdown in M1 macrophages there is a global downregulation of gene expression, in particular in genes involved in gene expression regulation and in immune responses.DiscussionOur results reveal new 3’UTR-APA and IPA mRNA isoforms produced during pro-inflammatory polarization of primary human macrophages and CRC co-culture that may be used in the future as diagnostic or therapeutic tools. Furthermore, our results highlight a function for SRSF12 in pro-inflammatory macrophages, key cells in the tumor response.
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- 2023
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128. Joint inference of evolutionary transitions to self-fertilization and demographic history using whole-genome sequences
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Stefan Strütt, Thibaut Sellinger, Sylvain Glémin, Aurélien Tellier, and Stefan Laurent
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evolutionary biology ,population genetics ,mating systems ,Arabidopsis thaliana ,self-incompatibility ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
The evolution from outcrossing to selfing occurred recently across the eukaryote tree of life in plants, animals, fungi, and algae. Despite short-term advantages, selfing is hypothetically an evolutionary dead-end reproductive strategy. The tippy distribution on phylogenies suggests that most selfing species are of recent origin. However, dating such transitions is challenging yet central for testing this hypothesis. We build on previous theories to disentangle the differential effect of past changes in selfing rate or from that of population size on recombination probability along the genome. This allowed us to develop two methods using full-genome polymorphisms to (1) test if a transition from outcrossing to selfing occurred and (2) infer its age. The teSMC and tsABC methods use a transition matrix summarizing the distribution of times to the most recent common ancestor along the genome to estimate changes in the ratio of population recombination and mutation rates overtime. First, we demonstrate that our methods distinguish between past changes in selfing rate and demographic history. Second, we assess the accuracy of our methods to infer transitions to selfing approximately up to 2.5Ne generations ago. Third, we demonstrate that our estimates are robust to the presence of purifying selection. Finally, as a proof of principle, we apply both methods to three Arabidopsis thaliana populations, revealing a transition to selfing approximately 600,000 years ago. Our methods pave the way for studying recent transitions to self-fertilization and better accounting for variation in mating systems in demographic inferences.
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- 2023
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129. Bundling elastic gridshells with alignable nets. Part II: Form-finding
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Tellier, Xavier
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- 2022
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130. Bundling elastic gridshells with alignable nets. Part I: Analytical approach
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Tellier, Xavier
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- 2022
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131. A sustainability assessment model for industrial parks: A Choquet integral aggregation approach
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Le Tellier, Mathilde, Berrah, Lamia, Audy, Jean-François, Stutz, Benoit, and Barnabé, Simon
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- 2022
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132. Discrete Voss surfaces: Designing geodesic gridshells with planar cladding panels
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Montagne, Nicolas, Douthe, Cyril, Tellier, Xavier, Fivet, Corentin, and Baverel, Olivier
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- 2022
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133. Benefit and Harm of Active Surveillance for Biopsy-proven Renal Oncocytoma: A Systematic Review and Pooled Analysis
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Baboudjian, Michael, Moser, Daniel, Yanagisawa, Takafumi, Gondran-Tellier, Bastien, Compérat, Eva M., Ambrosetti, Damien, Daniel, Laurent, Bastide, Cyrille, Shariat, Shahrokh F., Lechevallier, Eric, Diana, Pietro, Breda, Alberto, Pradere, Benjamin, and Boissier, Romain
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- 2022
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134. Life-History traits and the replicator equation
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Müller, Johannes and Tellier, Aurélien
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- 2022
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135. Regulation of immunological tolerance by the p53-inhibitor iASPP
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Akama-Garren, Elliot H., Miller, Paul, Carroll, Thomas M., Tellier, Michael, Sutendra, Gopinath, Buti, Ludovico, Zaborowska, Justyna, Goldin, Robert D., Slee, Elizabeth, Szele, Francis G., Murphy, Shona, and Lu, Xin
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- 2023
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136. Molecular basis of the dual role of the Mlh1-Mlh3 endonuclease in MMR and in meiotic crossover formation
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Dai, Jingqi, Sanchez, Aurore, Adam, Céline, Ranjha, Lepakshi, Reginato, Giordano, Chervy, Pierre, Tellier-Lebegue, Carine, Andreani, Jessica, Guérois, Raphaël, Ropars, Virginie, Le Du, Marie-Hélène, Maloisel, Laurent, Martini, Emmanuelle, Legrand, Pierre, Thureau, Aurélien, Cejka, Petr, Borde, Valérie, and Charbonnier, Jean-Baptiste
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- 2021
137. Perioperative treatment in resectable gastric cancer with spartalizumab in combination with fluorouracil, leucovorin, oxaliplatin and docetaxel (FLOT): a phase II study (GASPAR)
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Mélanie Dos Santos, Justine Lequesne, Alexandra Leconte, Stéphane Corbinais, Aurélie Parzy, Jean-Marc Guilloit, Sharmini Varatharajah, Pierre-Emmanuel Brachet, Marine Dorbeau, Dominique Vaur, Louis-Bastien Weiswald, Laurent Poulain, Corentin Le Gallic, Marie Castera-Tellier, Marie-Pierre Galais, and Bénédicte Clarisse
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Gastric cancer ,Gastroesophageal junction cancer ,Neoadjuvant treatment ,Immunotherapy ,Spartalizumab ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Perioperative chemotherapy and surgery are a standard of care for patients with resectable gastric or gastroesophageal junction (GEJ) adenocarcinoma. However, the prognosis remains poor for this population. The FLOT (fluorouracil, leucovorin, oxaliplatin, and docetaxel) regimen is considered as the new standard chemotherapy regimen for perioperative strategy, despite associated with a 5-year overall survival rate (OS) amounting 45% following radical surgery. Immunotherapy with antibodies that inhibit PD-1/ PD-L1 interaction has recently emerged as a new treatment option with promising and encouraging early trial results for patients with advanced or metastatic gastric or GEJ adenocarcinoma. Currently, no trials have investigated the impact of perioperative immunotherapy in combination with chemotherapy for resectable gastric or GEJ adenocarcinoma. Methods GASPAR trial is a multicenter open-label, nonrandomized, phase II trial to evaluate the efficacy and safety of Spartalizumab in combination with the FLOT regimen as perioperative treatment for resectable gastric or GEJ adenocarcinoma. The main endpoint is the proportion of patients with pathological complete regression (pCR) in the primary tumour after preoperative treatment. Systemic treatment will include a pre-operative neoadjuvant and a post-operative adjuvant treatment, during which FLOT regimen will be administered every two weeks for 4 cycles and Spartalizumab every four weeks for 2 cycles. For patients with confirmed tumor resectability on imaging assessment, surgery will be realized within 4–6 weeks after the last dose of preoperative chemotherapy. Post-operative systemic treatment will then be initiated within 4–10 weeks after surgery. Using a Simon’s two-stage design, up to 67 patients will be enrolled, including 23 in the first stage. Discussion Currently, no trials have investigated the impact of immunotherapy in combination with FLOT chemotherapy as perioperative treatment for resectable gastric or GEJ adenocarcinoma. Some studies have suggested a change in the tumor immune micro-environment following neoadjuvant chemotherapy in this setting, reinforcing the relevance to propose a phase II trial evaluating efficacy and safety of Spartalizumab in combination with perioperative chemotherapy, with the aim of improving treatment efficacy and survival outcomes. Trial registration NCT04736485, registered February, 3, 2021.
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- 2022
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138. La politique budgétaire du gouvernement Legault
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Dinan, Shannon, primary and Tellier, Geneviève, additional
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- 2022
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139. How to Study Pedagogical Gesture in Naturalistic Settings
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Tellier, Marion, primary and Yerian, Keli, additional
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- 2022
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140. Conclusion
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Skogstad, Grace, primary, Tellier, Geneviève, additional, ‘t Hart, Paul, additional, Howlett, Michael, additional, and Lindquist, Evert A., additional
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- 2022
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141. Introduction
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Lindquist, Evert A., primary, Howlett, Michael, additional, Skogstad, Grace, additional, Tellier, Geneviève, additional, and ‘t Hart, Paul, additional
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- 2022
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142. The Canadian Federal 1994–1996 Program Review
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Tellier, Geneviève, primary
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- 2022
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143. Remdesivir and three other drugs for hospitalised patients with COVID-19: final results of the WHO Solidarity randomised trial and updated meta-analyses
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Pan, Hongchao, Peto, Richard, Henao Restrepo, Ana Maria, Preziosi, Marie-Pierre, Sathiyamoorthy, Vasee, Karim, Quarraisha Abdool, Alejandria, Marissa, Hernàndez García, César, Kieny, Marie-Paule, Malekzadeh, Reza, Murthy, Srinivas, Reddy, K. Srinath, Periago, Mirta Roses, Hanna, Pierre Abi, Abutidze, Akaki, Ader, Florence, Al-Bader, Abdullah, Alhasawi, Almonther, Allum, Emma, Al Mawali, Adhra, Alotaibi, Athari, Alvarez- Moreno, Carlos, Appadoo, Sheila, Arts, Derk, Asiri, Abdullah, Aukrust, Pål, Barratt-Due, Andreas, Genetu Bayih, Abebe, Beaumont, Helena, Bellani, Samir, Benassi, Virginia, Bhargava, Balram, Branca, Mattia, Cappel-Porter, Heike, Cerrato, Nery, Cheick Haidara, Fadima, Chow, Ting Soo, Como, Nadia, Eustace, Joe, Gabunia, Tamar, García, Patricia, Godbole, Sheela, Gotuzzo, Eduardo, Griskevicius, Laimonas, Hamra, Rasha, Hassan, Mariam, Hassany, Mohamed, Hutton, David, Irmansyah, Irmansyah, Jancoriene, Ligita, Khamis, Faryal, Kirwan, Jana, Kumar, Suresh, Lennon, Peter, Lopardo, Gustavo, Lydon, Patrick, Magrini, Nicola, Manevska, Suzana, Manuel, Oriol, McGinty, Sybil, Medina, Marco, Mesa Rubio, Maria Lucia, Miranda Montoya, Maria Consuelo, Nel, Jeremy, Nunes, Estevao, Perola, Markus, Portoles, Antonio, Rasmin, Menaldi, Raza, Aun, Rees, Helen, Reges, Paula, Rogers, Chris, Salami, Kolawole, Salvadori, Marina, Sauermann, Mamatha, Sinani, Narvina, Sow, Samba, Sterne, Jonathan AC, Stevanovikj, Milena, Tacconelli, Evelina, Tavares Maltez, Fernando Manuel, Teferi, Mekonnen, Tikkinen, Kari, Trelle, Sven, Tsertsvadze, Tengiz, Zaid, Hala, Røttingen, John-Arne, Swaminathan, Soumya, Ryan, Michael, Gjermeni, Nevila, Meta, Esmeralda, Aguila, Damian, Alonso, Ignacio, Altamirano, Marcos, Alvarez, María, Alzola, Rodrigo, Arce, Veronica, Arribillaga, Patricia, Avila, Rafael, Balbuena, Juan, Barcelona, Laura, Barletta, José, Benedetti, María, Berdiñas, Verónica, Burgui, Julieta, Caimi, Sabrina, Carrillo, Juan, Carrizo, Juan, Castelli, Juan, Cazaux, Alexis, Cervellino, Flavia, Chalco, Angelo, Chediack, Viviana, Cunto, Eleonora, D'Amico, Nicolàs, de Vedia, Lautaro, Delgado, Carolina, Di Pilla, Debora, Díaz, Miguel, Díaz Aguiar, Pablo, Domínguez, Cecilia, Ellero, Leonor, Farina, Javier, Fernàndez, José, Ferreyra, Roxana, Filippi, María, Fogar, Carolina, Frare, Pablo, Giudiche, Celeste, Golikow, Mariana, Gomez, Maria Georgina, Hermida, Laura, Hurtado, Mariano, Jacobo, Mariela, Jaume, Martin, Laplume, Diego, Lescano, María, Lista, Nicolàs, Loiacono, Flavia, López, Ana Belen, Losso, Marcelo, Luna, Cecilia, Lupo, Sergio, Marianelli, Leonardo, Martin, Anabella, Masciottra, Florencia, Mykietiuk, Analía, Orellano, Lorena, Pachioli, Valeria, Padilla, María José, Pallavicini, Cecilia, Patroso, Jazmin, Perez Blanco, Luz, Presas, Jose Louis, Provenzano, Matias, Lavera, Lorena, Reichert, Viviana, Riveros, Florencia, Rodríguez, Alejandra, Rolon, María José, Salvay, Carolina, Simonetta, María, Sisto, Alicia, Themines, Sandra, Tito, Fernando, Toibaro, Javier, Torales, Graciela, Verón, Luciano, Vizzotti, Carla, Egle, Alexander, Greil, Richard, Joannidis, Michael, Altdorfer, Antoine, Belkhir, Leila, Fraipont, Vincent, Hites, Maya, Arruda, Erico, Breda, Giovanni, Colussi, Arthur, Corradi, Miran, Croda, Julio, Duani, Helena, João, Esaú, Machado, Elizabeth, Mello, Fernanda, Miranda Filho, Demócrito, Monteiro, Poliana, Nunes, Ceuci, Pereira Junior, Luiz Carlos, Pinto, Gustavo, Raboni, Sonia, Ramos, Marcelo, Ruffing, Leonardo, Santos, Valdilea, Souza, Tamara, Medeiros, Melissa, Schwarzbold, Alexandre, Ali, Karim, Azher, Tanweer, Bellemare, David, Binnie, Alexandra, Borgia, Sergio, Cavayas, Yiorgos Alexandros, Chagnon, Nicholas, Cheng, Matthew, Cloutier, Eve, Conly, John, Costiniuk, Cecilia, Daneman, Nick, Douglas, James, Downey, Catarina, Duan, Erick, Durand, Medeline, English, Shane, Farjou, George, Fera, Evadiki, Fontela, Patricia, Fowler, Rob, Fralick, Mike, Gamble, David Gregory, Geagea, Anna, Grant, Jennifer, Harrison, Luke, Havey, Thomas, Hoang, Holly, Kelly, Lauren, Keynan, Yoav, Khwaja, Kosar, Klein, Marina, Kolan, Christophe, Kronfli, Nadine, Lamontagne, Francois, Lee, Nelson, Lee, Todd, Lim, Rachel, Lostun, Alexandra, MacIntyre, Erika, Malhamé, Isabelle, Martin-Carrier, Francois, McGuinty, Marlee, Munan, Matthew, O'Neil, Conar, Ovakim, Daniel, Papenburg, Jesse, Parhar, Ken, Parvathy, SeemaNair, Perez-Patrigeon, Santiago, Rishu, Asgar, Rushton, Moira, Scherr, Kim, Schwartz, Kevin, Semret, Makeda, Silverman, Micahel, Singh, Ameeta, Sligl, Wendy, Smith, Stephanie, Somayaji, Ranjani, Tan, Darrell, Tran, Tuong-Vi, Tremblay, Alain, Tsang, Jennifer, Turgeon, Alexis, Vakil, Erik, Weatherald, Jason, Yansouni, Cedric, Zarychanski, Ryan, Aristizabal, Claudia, Bravo, Juan, Caicedo, Monica, Chacón, Julio, Garzón, Diego, Guevara, Fredy, Lozano-Gonzàlez, Silvia, Macareno, Hugo, Montañez-Ayala, Anita, Oñate, Jose, Rojas-Gambasica, Jose, Rosso, Fernando, Saavedra, Carlos, Valderrama, Sandra, Vàquiro-Herrera, Eliana, Varón-Vega, Fabio, Zuluaga, Ivan, Abdel Baki, Amin, Abdelbary, Akram, Abdel-Razek, Wael, Amin, Wagdi, Asem, Noha, Elassal, Gehan, Elshesheny, Marwa, Fathy, Mohamed, Fathy, Naglaa, Fayed, Notaila, Hammam, Ahmed, Hassany, Sahar, Ibrahim, Hamdy, Kamal, Ehab, Masoud, Hossam, Mohamed, Maryam, Mohamed Gouda, Abdullah, Moustafa, Ehab, Okasha, Shaimaa, Rafik, Ahmed, Said, Ahmed, Sedky, Asmaa, Solyman Kabil, Mohamed, Tarek, Sara, Tharwat, Ahmed, Zaky, Samy, Abegaz, Emawayish Tesema, Bekele, Zelalem Mekonnen, Asfaw, Filmona Mekuria, Tegegne, Netsanet Aragaw, Teklemariam, Miheret Fikre, Nigusse, Frehiwot Tamiru, Achalu, Daniel Legesse, Weldegergs, Shewit Tesfagabr, Huluka, Dawit Kebede, Tereda, Addisu Birhanu, Ala-Kokko, Tero, Delany, Jutta, Ekroos, Heikki, Hankkio, Riina, Haukipää, Mia, Hetemäki, Iivo, Holma, Pia, Holmberg, Ville, Horstia, Saana, Jalkanen, Ville, Jämsänen, Toni, Järventie, Juuso, Järvinen, Petrus, Kalliala, Ilkka, Kauma, Heikki, Kilpeläinen, Tuomas, Kreivi, Hanna-Riikka, Kuitunen, Ilari, Lamminmäki, Satu, Mäkinen, Laura, Mäntylä, Jarkko, Mattila, Tiina, Myllärniemi, Marjukka, Niskanen, Joni, Nykänen, Taina, Nyqvist, Miro, Paajanen, Juuso, Partanen, Terhi, Patovirta, Riitta-Liisa, Paukkeri, Erja-Leena, Puusti, Emmi, Renner, Andreas, Reponen, Emma, Risku, Sari, Rosberg, Tuomas, Rutanen, Jarno, Säilä, Petrus, Salonen, Päivi, Sinisalo, Marjatta, Sivenius, Katariina, Tuominen, Susanna, Aboab, Jerone, Alfaiate, Toni, Andrejak, Claire, Andreu, Pascal, Belhadi, Drifa, Benezit, Francois, Botelho-Nevers, Elisabeth, Bouadma, Lila, Bougon, David, Bouiller, Kevin, Bounes, Fanny, Boyer, Alexandre, Bruel, Cédric, Buffet, Alexandre, Burdet, Charles, Cazanave, Charles, Chabertier, Cyrille, Clere-Jehl, Rapahel, Costagliola, Dominique, Courjon, Johan-Victor, Crockett, Flora, Danion, Francois, Dechanet, Aline, Dellamonica, Jean, Delmas, Christelle, Diallo, Alpha, Djossou, Felix, Dubost, Clement, Dupont, Axelle, Epaulard, Olivier, Faure, Emmmanuel, Faure, Karine, Fayol, Antoine, Figueiredo, Samy, Fougerou, Claire, Gaborit, Benjamin, Gaci, Rostane, Gagneux-Brunon, Amandine, Gallien, Sebastien, Garot, D, Goehringer, Francois, Gruson, Didier, Hinschberger, Olivier, Hulot, Jean-Sebastien, Jaureguiberry, Stephane, Jean-Michel, Vanessa, Kerneis, Solen, Kimmoun, Antoine, Klouche, Kada, Lachatre, Marie, Lacombe, Karine, Laine, Fabrice, Lanoix, Jean Philippe, Laribi, Samira, Launay, Odile, Laviolle, Bruno, Le Moing, Vincent, Le Pavec, Jerome, Lebeaux, David, Leroy, Sylvie, Lescure, Xavier, Livrozet, Marine, Makinson, Alain, Malvy, Denis, Marquette, Charles-Hugo, Martin-Blondel, Guillaume, Mayaux, Julien, Mekontso Dessap, Armand, Mentre, France, Mercier, Noemie, Meziani, Ferhat, Molina, Jean Michel, Mootien, Yoganaden, Mourvillier, Bruno, Navellou, Jean Christoph, Noret, M, Peiffer- Smadja, Nathan, Peytavin, Gilles, Pialoux, Gilles, Pilmis, Benoît, Piroth, Lionel, Poindron, Vincent, Poissy, Julien, Pourcher, Valerie, Quenot, Jean Pierre, Raffi, Francois, Reignier, Jean, Richard, Jean Christoph, Robert, Céline, Saillard, Juliette, Sayre, Naomi, Senneville, Eric, Stefan, Francois, Tellier, Marie Capucine, Terzi, Nicolas, Textoris, Julien, Thiery, Guillame, Timsit, Jean Francois, Tolsma, Violaine, Tubiana, Sarah, Wallet, Florent, Yazdanpanah, Yazdan, Zerbib, Yoann, Aguilar, Carlos, Erazo, Laura, Fiallos, Angel, Figueroa, Rosbinda, Flores, Juan Jose, Melendez, Lesddyy, Moncada, Wendy, Abraham, Ooriapadickal Cherian, Acharya, Chetankumar, Aedula, Vinaya Sekhar, Aggarwal, Richa, Agrawal, Nishant, Agrawal, Umang, Agrawal, Abhishekh, Ahmad, Mohammad, Atal, Shubham, Babu, Avinash, Baidya, Dalim Kumar, Balachandran, Amith, Bangar, Rakhee, Bhadade, Rakesh, Bhandari, Sudhir, Bhapal, Meghavi, Bhardwaj, Pankaj, Bhati, Gaurav, Bhatia, Pradeep, Bhatt, Krishnakant, Bingi, Thrilok Chander, Borse, Rohidas, Buch, Vyom, Chand, Dipti, Chandwani, Ashish, Charan, Jaykaran, Chaudhari, Mayur, Chaudhari, Kirti, Chaudhary, Vipul, Chauhan, Nishant, Chikara, Gaurav, Daswani, Bharti, de Souza, Rosemarie, Desai, Chetna, Divakar, Balusamy, Divhare, Sujeet, Dorairajan, Suresh Kumar, Dutt, Naveen, Ethirajan, Therani Rajan, Gamit, Amit, Gamit, Sweta, Garg, Mahendra, Goenka, Ajay, Goenka, Aniket, Guleria, Randeep, Gupta, Paras, Gupta, Nivedita, Gupta, Madhur, Harde, Minal, Ingle, Vaibhav, Iyer, Shivkumar, Jamalapuram, Vaishnavi, Jayanthi, Rangarajan, Joshi, Rajnish, Kadam, Abhijeet, Kalakuntla, Hemanth, Kalikar, Mrunalini, Kalme, Sayali, Kamble, Suchit, Kant, Ravi, Kantharia, Bansari, Kashikar, Arundhati, Kavishvar, Abhay, Kayina, Choro Athipro, Kerkar, Pranali, Khadanga, Sagar, Khandare, Sagar, Kokate, Pranjali, Komathi, Jayavelu, Krishnan, Vijay, Krishnan, Jayasree, Krishnan, Sumitra, Kulur Mukhyaprana, Sudha, Kumarasamy, N, Mahavar, Sunil, Maitra, Souvik, Majumdar, Falguni, Malhotra, Supriya, Mamulwar, Megha, Malini, Padma, Marwah, Vikas, Maurya, Akhilesh, Mehta, Kedar, Mesipogu, Rajarao, Misra, Shobha, Mitra, Sajal, Mittal, Ankit, Mohan, Bharathi, Momin, Mohmmedirfan, Nag, Vijaya, Nagarajan, Ramakrishnan, Nagmani, Kammili, Narlawar, Uday, Natarajan, Gopalakrishnan, Nischal, Neeraj, Ogale, Dhananjay, Palat, Paltial, Panda, Prasan, Panda, Samiran, Pandya, Amee, Parate, Rohit, Paritekar, Arunita, Patel, Parvati, Patel, Chetna, Patel, Sunaina, Patel, Vitan, Patel, Deep, Patel, Harshad, Patil, Girish, Peter, Deepu, Prasad, Durga, Purohit, Vimlesh, Rabindrarajan, Ebenezer, Ranganathan, Lakshmiarasimhan, Rao, Tushara, Rao, Chakradhara, Rathod, Chirag, Raval, Devang, Ray, Avik, Reddy, Kamini, Rege, Sujata, Revathi, Ayyasamy, Roy, Dhara, Saigal, Saurabh, Sane, Suvarna, Sangale, Shashi, Seetharaman, Krishnamoorthy, Selvamuthu, Poongulali, Seshaiah, Kurada Venkata, Shadrach, Benhur, Shah, Jignesh, Shah, Sonal, Sharma, Swati, Sharma, Raman, Sharma, Shrikant, Singh, Krishna, Singh, Anil, Singh, Arjeet, Singhai, Abhishek, Soneja, Manish, Soni, Kapil Dev, Subhan, Thasneem banu, Subramaniam, Sudharshini, Sudarsanam, Thambu David, Sudarsi, Ravindra Kumar, Suleman, Dawood, Suthar, Nilay, Talati, Shriraj, Tambe, Murlidhar, Tejomurtula, Tilak, Tirupakuzhi Vijayaraghavan, Bharatkumar, Trikha, Anjan, Trivedi, Aarti, Udwadia, Zarir, Upadhyay, Kamlesh, Vasava, Ashwin, Vasudevan, Damodaran, Velayudham, Rajendran, Venkatasubramanian, Ramasubramanian, Verma, Mamta, Waghmare, Rakesh, Waikar, Anushka, Wig, Naveet, Afrilia, Annisa Rizky, Amin, Muhammad, Arlinda, Dona, Avrina, Rossa, Bang, Lois, Djaharuddin, Irawaty, Djojo, Aryan, Driyah, Sri Laning, Erastuti, Mila, Fajarwati, Tetra, Harsini, Harsini, Hartantri, Yovita, Herman, Deddy, Isbaniah, Fathiyah, Karyana, Muhammad, Kusuma, Indra, Mahmudji, Harli Amir, Medison, Irvan, Nugroho, Agung, Nurhayati, Nurhayati, Opitasari, Cicih, Pitoyo, Ceva Wicaksono, Pradana, Antonius Arditya, Raharjo, Sofyan Budi, Rahmaini, Ade, Risniati, Yenni, Riyanto, Bambang Sigit, Sajinadiyasa, I Gede Ketut, Sari, Flora Eka, Sitompul, Pompini Agustina, Soedarsono, Soedarsono, Somia, I Ketut Agus, Sugiri, Yani Jane, Sugiyono, Retna Indah, Susanto, Nugroho Harry, Syarif, Armaji Kamaludi, Yulianto, Aris, Afsharian, Mandana, Akhavi Mirab, Atefehsadat, Amini, Fatemeh, Amini, Mahnaz, Ansarin, Khalil, Baba Mahmoodi, Farhang, Baghaei, Parvaneh, Barazandeh, Fateme, Bayani, Masomeh, Dastan, Farzaneh, Ebrahimpour, Soheil, Eghtesad, Sareh, Fallahi, Mohammad Javad, Fallahpoor Golmaee, Fatemeh, Foroghi Ghomi, Seyed Yaser, Ghadir, Mohammad Reza, Gheitani, Mina, Ghiasvand, Fereshteh, Hafizi Lotfabadi, Saied, Hakamifard, Atousa, Hashemi Madani, Shima Sadat, Hormati, Ahmad, Hosseini, Hamed, Janbakhsh, Alireza, Javanian, Mostafa, Joukar, Farahnaz, Kamali, Alireza, Karampour, Amin, Khajavirad, Nasim, Khodabakhshi, Behnaz, Khodadadi, Javad, Khodashahi, Rozita, Kiani Majd, Somaieh, Mahfoozi, Lida, Mahmoodiyeh, Behnam, Mansour-Ghanaei, Fariborz, Mansouri, Feizollah, Mesgarpour, Bita, Mesri, Mehdi, Mikaeili, Haleh, Miladi, Ronak, Moghadami, Mohsen, Mohamadi, Payam, Mohraz, Minoo, Mohseni Afshar, Zeinab, Moogahi, Sasan, Mousavi Anari, Seyed Alireza, Mozaffar, Seyyed Hassan, Mozdourian, Mahnaz, Najafipour, Reza, Najari, Hamidreza, Nazemiyeh, Masoud, Norouzi, Alireza, Pourkazemi, Aydin, Poustchi, Hossein, Saberhosseini, Seyedeh Naeimeh, Saberi, Marzieh, Saber-Moghaddam, Niloufar, Sadeghi, Anahita, Sadeghi Haddad Zavareh, Mahmoud, Sahraian, Mohammad Ali, Salahi, Mehrdad, Salehi, Mohammad Reza, Sarmadian, Hossein, Sayad, Babak, Shirani, Kiana, Shirvani, Maria, Shojaei, Daryanaz, Shokri, Mehran, Siami, Zeinab, Sima, Ali Reza, Soleimani, Alireza, Soltanmohammad, Saedeh, Tabarsi, Payam, Taghizadieh, Ali, Tavassoli, Samaneh, Varnasseri, Mehran, Vaziri, Siavash, Yadyad, Mohammad Jaafar, Yaghoubi, Shoeleh, Yazdanpanah, Yalda, Yousefi, Farid, Zamanian, Mohammad Hossein, Zand, Farid, Zare Hoseinzade, Elham, Bergin, Colm, Cotter, Aoife, de Barra, Eoghan, Jackson, Arthur, Laffey, John, McCarthy, Cormac, Muldoon, Eavan, Sadlier, Corinna, Maguire, Teresa, Angheben, Andrea, Bai, Francesca, Bandera, Alessandra, Barchiesi, Francesco, Bassetti, Matteo, Bisi, Luca, Bonfanti, Paolo, Calò, Federica, Campoli, Caterina, Canovari, Benedetta, Capetti, Amedeo, Castelli, Francesco, Cauda, Roberto, Cingolani, Antonella, Cocco, Nicolò, Coppola, Nicola, Corcione, Silvia, Cremonini, Eleonora, d'Arminio Monforte, Antonella, de Gaetano Donati, Katleen, De Nardo, Pasquale, De Rosa, Francesco Giuseppe, Degioanni, Maria, Della Siega, Paola, Di Bella, Stefano, Drera, Bruno, Focà, Emanuele, Fornabaio, Chiara, Galli, Massimo, Giacomazzi, Donatella, Gori, Andrea, Gustinetti, Giulia, Iannuzzi, Francesca, Kertusha, Blerta, Lamonica, Silvia, Lichtner, Miriam, Lupia, Tommaso, Luzzati, Roberto, Macera, Margherita, Menatti, Elisabetta, Merelli, Maria, Merlini, Esther, Monari, Caterina, Pan, Angelo, Pecori, Davide, Pezzani, Diletta, Riccardi, Niccolò, Rodari, Paola, Roldan, Eugenia, Rovere, Pierangelo, Rusconi, Stefano, Scabini, Silvia, Tascini, Carlo, Viale, Pierluigi, Vincenzi, Marcello, Zuccalà, Paola, Zucchi, Patrizia, Al-Roomi, Moudhi, Al-Sabah, Salman, Schrapp, Kelly, Hassoun, Mahmoud, Matar, Madonna, Dbouni, Oussaima, Yared, Nadine, Saliba, Michele, Farra, Anna, Riachi, Moussa, Zablockiene, Birute, Reuter, Jean, Staub, Therese, Ab Wahab, Suhaila, Chew, Chun Keat, Chua, Hock Hin, Goh, Pik Pin, Lee, Heng Gee, Leong, Chee Loon, Low, Lee Lee, Mak, Wen Yao, Mohamed Gani, Yasmin, Muhamad, Dzawani, Zaidan, Nor Zaila, Ducker, Camilla, Demiri, Ilir, Aballi, Saad, Berg, Åse, Blomberg, Bjørn, Dalgard, Olav, Dyrhol-Riise, Anne Ma, Eiken, Ragnhild, Ernst, Gernot, Hannula, Ranula, Haugli, Metter, Heggelund, Lars, Hoel, Hedda, Hoff, Dag Arne Lihaug, Holten, Aleksander Rygh, Johannessen, Asgeir, Kåsine, Trine, Kildal, Anders Benjamin, Kittang, Bård Reikvam, Nezvalova-Henriksen, Katerina, Olsen, Inge Christoffer, Olsen, Roy Bjørkolt, Skei, Nina Vibeche, Skudal, Hilde, Tholin, Birgitte, Thoresen, Lars, Trøseid, Marius, Tveita, Anders, Vinge, Leif, Ystrøm, Carl Magnus, Al Jahdhami, Issa, AlNaamani, Khalid, Al Balushi, Zakariya, Pandak, Nenad, Abbas, Salma, Akhtar, Nasim, Azam, Sumeyya, Begum, Dilshad, Hassan, Sadia, Herekar, Fivzia, Khan, Shahzaib, Khan, Ejaz Ahmed, Mahmood, Syed Faisal, Nasir, Nosheen, Rahim, Anum, Sarfaraz, Samreen, Shaikh, Qurat-ul-Ain, Sultan, Faisal, Walayat, Usman, Agurto-Lescano, Erika Cecilia, Alcantara-Díaz, Andrés Martín, Alva-Correa, Ana María, Alvarado-Moreno, José Gustavo, Ángeles-Padilla, Bethsabé, Arbañil-Huamàn, Hugo César, Ávila-Reyes, Pool Christopher, Azañero-Haro, Johan Alexander, Barreto-Rocchetti, Luis Guillermo, Benitez-Peche, Jorge Marko A., Bernal-Màlaga, Karla Hortencia, Cabrera-Portillo, Liliana Norma, Carazas-Chavarry, Reynaldo Javier, Càrcamo, Paloma Mariana, Casimiro-Porras, Indira Catalina, Castillo-Espinoza, Jhuliana, Chacaltana-Huarcaya, Jesús Norberto, Cornejo-Valdivia, Carla Raquel, Cruz-Chereque, Augusto, Del-Aguila-Torres, Keith Cayetano Marcelino, Díaz-Chipana, Erika, Flores-Valdez, Neil, Franco-Vàsquez, Rosanna Andrea, Gallegos-López, Roxana Consuelo, Gastiaburú-Rodriguez, Dauma Yesenia, Gianella-Malca, Gonzalo Ernesto, Gomero-Lopez, Andrés Alonso, Hercilla-Vàsquez, Luis Enrique, Hueda-Zavaleta, Miguel Ángel, Ibarcena-Llerena, Claudia Vanessa, Iberico-Barrera, Carlos Alberto, Inquilla-Castillo, Miguel Angel, Juàrez-Eyzaguirre, Jesus Alberto, Laca-Barrera, Manuel, León-Jiménez, Franco, Luna-Wilson, Carla Vanessa, Màlaga, German, Marin, Ricardo, Mejía-Cordero, Fernando, Mendoza-Laredo, Juan Arturo, Meregildo-Rodríguez, Edinson Dante, Miranda-Manrique, Gonzalo Francisco, Olivera-Chaupis, Marco, Ortega-Monasterios, Fatima Josefina, Otazú-Ybàñez, Jimmy Pedro, Paredes-Moreno, María Angélica, Peña-Mayorga, Claudia Ximena, Peña-Vàsquez, Olivia del Carmen, Peña-Villalobos, Alejandro, Ponce, Oscar J, Ponte-Fernandez, Katherin Estefania, Pro, Jose, Quispe-Nolazco, César Miguel, Ramos-Samanez, Manuel Efrain, Rojas-Murrugarra, Kory Mirtha, Samanez-Pérez, Jorge Mauro, Sànchez-Carrillo, Halbert Chrostian, Sànchez-Garavito, Epifanio, Sànchez-Sevillano, Ricardo Manuel, Sandoval-Manrique, Hernan, Santos-Revilla, Gabriela, Silva-Ramos, Julio Antonio, Solano-Ico, Manuel Alberto, Soto, Alonso, Sotomayor-Woolcott, Giannilu Michelle, Tapia-Orihuela, Ruben Kevin Arnold, Terrazas-Obregón, Carmen Sara, Terrones-Levano, Victor Francisco, Ticona-Huaroto, Cesar Eduardo, Torres-Ninapayta, Walter, Torres-Ruiz, Oscar Martin, Ugarte-Mercado, Dario, Vargas-Anahua, Orlando José, Vàsquez-Becerra, Ruben Dario, Vàsquez-Cerro, José Gabriel, Villegas-Chiroque, Miguel, Williams, Anna Larson, Yauri-Lazo, Randi Mauricio, Abad, Cybele Lara, Andales-Bacolcol, Silverose Ann, Arcegono, Marlon, Arches, Jamie, Astudillo, Mary Grace, Aventura, Emily, Awing, Arlyn, Bala, Mishelle Vonnabie, Bello, Jia An, Blanco, Peter, Benedicto, Jubert, Buno, Susana, Cabrera, Justine, Cajulao, Thea Pamela, Caoili, Janice, Casiple-Amsua, Lina, Catambing, Victor, Chin, Inofel, Chua, Ma. Bernadette, Chua, Mitzi Marie, Climacosa, Fresthel Monica, David-Wang, Aileen, De los Reyes, Virginia, Europa, Gilly May, Fernandez, Lenora, Francisco, Jorge, Garcia, Gerard, Garcia, Jemelyn, Gler, Maria Tarcela, Isidro, Marie Grace Dawn, Javier, Rozelle Jade, Kwek, Marion, Lansang, Mary Ann, Lee, Aileen, Li, Kingbherly, Llanes, Mark Ramon Victor, Llorin, Ryan, Macadato, Omar Khayyam, Malundo, Anna Flor, Mercado, Maria Elizabeth, Mujeres, Mercedes, Nepomuceno, Marisse, Ngo-Sanchez, Katha, Orden, Mary Claire, Pablo-Villamor, Maria Philina, Paez, Ruel Dionisio, Palmes, Patricio, Panaligan, Marion, Quinivista-Yoon, Jenny Mae, Ramos, Mary Shiela Ariola, Ramos -Penalosa, Christine, Reyes, Sheila Marie, Roa, Kathryn, Roman, Arthur Dessi, Rosario, Minette Claire, Roxas, Evalyn, Santos, Lourdes Ella Gonzales, Soldevilla, Helmar, Solante, Rontgene, Suaco, Jane, Tagarda, Daisy, Tang, Issa Rufina, Te, Bob, Teo, Dennis, Tibayan, Christopher John, Villalobos, Ralph Elvi, Ymbong, Duane Richard, Zabat, Gelza Mae, Batkova, Stepanka, Cardoso, Orlando, Garrote, Ana-Raquel, Lino, Sara, Manata, Maria-José, Pinheiro, Helder, Póvoas, Diana, Ramirez, Freddy, Seixas, Diana, Naji, Assem, Al Gethamy, M Al, AL-Mulaify, Mohammed Sami, Al Maghraby, Reem, Alrajhi, A, Al Sharidi, Aynaa, Alotaibi, Naif, AlShaharani, F, Barry, Mazin, Ghonem, Leen, Khalel, Anas, Kharaba, Ayman Mohammed, Alabdan, Lulwah, AlAbdullah, Mohammed Sharaf, Al Shabib, Abdullah, Bengu, Simangele, Bennet, Jacklyn, Dubula, Thozama, Howell, Pauline, Janse van Vuuren, Cloete, Kalla, Ismail, Lifson, Aimee, Maasdorp, Shaun, Magua, Nombulelo, Maluleke, Vongani, Mbhele, Nokuphiwa, Mdladla, Nathi, Mendelson, Mark, Menezes, Colin, Mwelase, Thando, Nchabeleng, Maphoshane, Palanee-Phillips, Thesla, Parker, Victoria, Rassool, Mohammed, Reeder, Paul, Sossen, Bianca, Steyn, Dewald, Tsitsi, Merika, van Blydenstein, Sarah Alex, Venter, Michelle, Van Vuuren, Janse, Venturas, Jacquie, Abad Pérez, Daniel, Abenza, Maria José, Alarcón-Payer, Carolina, Armero Garrigos, Eva, Arribas, Jose Ramon, Ascaso, Ana, Berenguer, Juan, Cabello-Clotet, Noemí, Chamorro Tojeiro, Sandra, Cuenca-Acevedo, Rafael, de la Calle, Fernando, Del Toro, Maria Dolores, Díaz Pollàn, Beatriz, Diez, Cristina, Esquillor-Rodrigo, María José, Estrada, Vicente, Fanciulli, Chiara, Fanjul, Francisco, Fernàndez de Orueta, Lucía, Ferre, Adrian, Ferreira Pasos, Eva Maria, Gainzarain-Arana, Juan-Carlos, Garcia, Felipe, García Deltoro, Miguel, Goikoetxea Agirre, Ane Josune, Gómez Barquero, Julia, Gomez-Huelgas, Ricardo, Gonzàlez Moraleja, Julio, Guijarro, Carlos, Gutierrez, Felix, Guzmàn, Jesús, Ibarguren, Maialen, Iribarren, Jose Antonio, Jerusalem, Koen, Juan Arribas, Arturo, Lalueza, A, Leone, Antonio, Lopez Azkarreta, Iñigo, Lozano-Martin, Daniel, Lucendo, Alfredo J, Luengo López, Mariella, Martín Oterino, JA, Masa, JF, Merino, Esperanza, Monge-Maillo, Begoña, Moran-Rodríguez, Miguel-Angel, Muñez Rubio, Elena, Muñoz Sanchez, Josefa, Nuñez Orantos, Maria Jose, Nuño, Enrique, Ortiz-De-Zarate-Ibarra, Zuriñe, Pagàn-Muñoz, Bàrbara, Paño-Pardo, José Ramón, Peñaranda, Maria, Pérez Chica, Gerardo, Pérez Fernàndez, AM, Pérez-López, Carmen, Polo San Ricardo, Victor, Portu-Zapirain, Joseba, Puchades, Francesco, Rivas Paterna, Ana Belen, Rodríguez Vidigal, Francisco F, Rodríguez-Baño, Jesus, Ruiz-Seco, Pilar, Ryan, Pablo, Saez-De-Adana, Ester, Salas, Rosario, Salavert Lletí, Miguel, Sandoval, Raquel, Toyas-Miazza, Carla, Valencia, Jorge, Vargas, Emilio, Velasco, Maria, Von Wichmann, Miguel Angel, Bosshard, Andreas, Calmy, Alexandra, Castro, Tiago, Cavassini, Matthias, Clerc, Olivier, Conen, Anna, Desbaillets, Nicolas, Desgranges, Florian, Duss, Francois, Emonet, Stephane, Erard, Veronique, Eyer, Myriam, Fayet-Mello, Aurélie, Flammer, Yvonne, Friedl, Andrée, Fulchini, Rosamaria, Furrer, Hansjakob, Garin, Nicolas, Gastberger, Salome, Greiner, Michael, Haefliger, David, Haubitz, Sebastian, Hoffmann, Matthias, Isenring, Egon, Jakopp, Barbara, Lampert, Markus, Marinosci, Annalisa, Martin, Yvonne, Petignat, Pierre-Auguste, Piso, Rein Jan, Prendki, Virginie, Rutishauser, Jonas, Schaefer, Elisabeth, Schmiedel, Yvonne, Schwery, Stefan, Stavropoulou, Elisavet, Stoeckle, Marcel, Suttels, Veronique, Thurnher, Maria Christine, van den Bogaart, Lorena, West, Emily, Wiegand, Jan, and Wiggli, Benedikt
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- 2022
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144. A multi-institutional experience of Micro-percutaneous Nephrolithotomy (MicroPERC) for renal stones: Results and feasibility of day case surgery
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Baboudjian, M., Negre, T., Van Hove, A., McManus, R., Lechevallier, E., Gondran-Tellier, B., and Boissier, R.
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- 2022
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145. Social Deprivation Is Associated With Lower Access to Pre-emptive Kidney Transplantation and More Urgent-Start Dialysis in the Pediatric Population
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Driollet, Bénédicte, Bayer, Florian, Kwon, Theresa, Krid, Saoussen, Ranchin, Bruno, Tsimaratos, Michel, Parmentier, Cyrielle, Novo, Robert, Roussey, Gwenaelle, Tellier, Stéphanie, Fila, Marc, Zaloszyc, Ariane, Godron-Dubrasquet, Astrid, Cloarec, Sylvie, Vrillon, Isabelle, Broux, Françoise, Bérard, Etienne, Taque, Sophie, Pietrement, Christine, Nobili, François, Guigonis, Vincent, Launay, Ludivine, Couchoud, Cécile, Harambat, Jérôme, and Leffondré, Karen
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- 2022
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146. Preoperative polymicrobial urine culture: An analysis of the risk of perioperative urinary tract infection
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Breuleux, C., Gondran-Tellier, B., Guerin, V., McManus, R., Pauly, V., Lechevallier, E., Albanese, J., and Baboudjian, M.
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- 2022
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147. Accurate Genomic Prediction Of Human Height
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Lello, Louis, Avery, Steven G., Tellier, Laurent, Vazquez, Ana, Campos, Gustavo de los, and Hsu, Stephen D. H.
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Quantitative Biology - Genomics ,Computer Science - Learning ,Quantitative Biology - Quantitative Methods ,Statistics - Machine Learning - Abstract
We construct genomic predictors for heritable and extremely complex human quantitative traits (height, heel bone density, and educational attainment) using modern methods in high dimensional statistics (i.e., machine learning). Replication tests show that these predictors capture, respectively, $\sim$40, 20, and 9 percent of total variance for the three traits. For example, predicted heights correlate $\sim$0.65 with actual height; actual heights of most individuals in validation samples are within a few cm of the prediction. The variance captured for height is comparable to the estimated SNP heritability from GCTA (GREML) analysis, and seems to be close to its asymptotic value (i.e., as sample size goes to infinity), suggesting that we have captured most of the heritability for the SNPs used. Thus, our results resolve the common SNP portion of the "missing heritability" problem -- i.e., the gap between prediction R-squared and SNP heritability. The $\sim$20k activated SNPs in our height predictor reveal the genetic architecture of human height, at least for common SNPs. Our primary dataset is the UK Biobank cohort, comprised of almost 500k individual genotypes with multiple phenotypes. We also use other datasets and SNPs found in earlier GWAS for out-of-sample validation of our results., Comment: 17 pages, 10 figures
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- 2017
148. Effects of population- and seed bank noise on neutral evolution and efficacy of natural selection
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Heinrich, Lukas, Müller, Johannes, Tellier, Aurélien, and Zivković, Daniel
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Quantitative Biology - Populations and Evolution ,92D10, 39A50, 60H10 - Abstract
Population genetics models typically consider a fixed population size and a unique selection coefficient. However, population dynamics inherently generate noise in numbers of individuals and selection acts on various components of the individuals' fitness. In plant species with seed banks, the size of both the above- and below-ground compartments present noise depending on seed production and the state of the seed bank. We investigate if this noise has consequences on 1)~the rate of genetic drift, and 2)~the efficacy of selection. We consider four variants of two-allele Moran-type models defined by combinations of presence and absence of noise in above-ground and seed bank compartments. Time scale analysis and dimension reduction methods allow us to reduce the corresponding Fokker-Planck equation to a one-dimensional diffusion approximation of a Moran model. We first show that if the above-ground noise classically affects the rate of genetic drift, below-ground noise reduces the diversity storage effect of the seed bank. Second, we consider that selection can act on four different components of the plant fitness: plant or seed death rate, seed production or seed germination. Our striking result is that the efficacy of selection for seed death rate or germination rate is reduced by seed bank noise, whereas selection occurring on plant death rate or seed production is not affected. We derive the expected site-frequency spectrum reflecting this heterogeneity in selection efficacy between genes underpinning different plant fitness components. Our results highlight the importance to consider the effect of ecological noise to predict the impact of seed banks on neutral and selective evolution.
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- 2017
149. Effective Spoken Language Labeling with Deep Recurrent Neural Networks
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Dinarelli, Marco, Dupont, Yoann, and Tellier, Isabelle
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Computer Science - Computation and Language - Abstract
Understanding spoken language is a highly complex problem, which can be decomposed into several simpler tasks. In this paper, we focus on Spoken Language Understanding (SLU), the module of spoken dialog systems responsible for extracting a semantic interpretation from the user utterance. The task is treated as a labeling problem. In the past, SLU has been performed with a wide variety of probabilistic models. The rise of neural networks, in the last couple of years, has opened new interesting research directions in this domain. Recurrent Neural Networks (RNNs) in particular are able not only to represent several pieces of information as embeddings but also, thanks to their recurrent architecture, to encode as embeddings relatively long contexts. Such long contexts are in general out of reach for models previously used for SLU. In this paper we propose novel RNNs architectures for SLU which outperform previous ones. Starting from a published idea as base block, we design new deep RNNs achieving state-of-the-art results on two widely used corpora for SLU: ATIS (Air Traveling Information System), in English, and MEDIA (Hotel information and reservation in France), in French., Comment: 8 pages. Rejected from IJCAI 2017, good remarks overall, but slightly off-topic as from global meta-reviews. Recommendations: 8, 6, 6, 4. arXiv admin note: text overlap with arXiv:1706.01740
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- 2017
150. Label-Dependencies Aware Recurrent Neural Networks
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Dupont, Yoann, Dinarelli, Marco, and Tellier, Isabelle
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Computer Science - Computation and Language - Abstract
In the last few years, Recurrent Neural Networks (RNNs) have proved effective on several NLP tasks. Despite such great success, their ability to model \emph{sequence labeling} is still limited. This lead research toward solutions where RNNs are combined with models which already proved effective in this domain, such as CRFs. In this work we propose a solution far simpler but very effective: an evolution of the simple Jordan RNN, where labels are re-injected as input into the network, and converted into embeddings, in the same way as words. We compare this RNN variant to all the other RNN models, Elman and Jordan RNN, LSTM and GRU, on two well-known tasks of Spoken Language Understanding (SLU). Thanks to label embeddings and their combination at the hidden layer, the proposed variant, which uses more parameters than Elman and Jordan RNNs, but far fewer than LSTM and GRU, is more effective than other RNNs, but also outperforms sophisticated CRF models., Comment: 22 pages, 3 figures. Accepted at CICling 2017 conference. Best Verifiability, Reproducibility, and Working Description award
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- 2017
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