9,453 results on '"Durr A."'
Search Results
152. Polarización política en las tapas de Clarín durante los gobiernos peronistas (1946-1955)
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Lucas Durr Missau
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Polarización ,Política ,Medios ,Perón ,Clarín ,Communication. Mass media ,P87-96 ,Journalism. The periodical press, etc. ,PN4699-5650 - Abstract
Este artículo analiza la polarización política en Argentina durante los gobiernos peronistas entre 1946 y 1955. Identificamos los temas que dividieron la opinión pública a partir de referencias documentales y bibliográficas que tratan de las políticas de gobierno y la relación del gobierno con los medios de comunicación. Para ilustrar los temas polarizadores, compilamos tapas del diario Clarín del mismo período. Metodológicamente, para la reconstrucción del contexto político y mediático, trabajamos con la propuesta de “negociación de las escenas mediáticas” (Schuliaquer, 2017, 2020). Para identificar los temas que dividieron la opinión pública, usamos el concepto de “tópicos disparadores” (Baldassarri, Bearman, & Baldassarri, 2016). Las dicotomías que operaron para la polarización política en este momento en Argentina eran agricultura/industria, elite/clase trabajadora y popular, iglesia/estado, capital nacional/capital extranjero y libertad/autoridad estatal.
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- 2023
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153. Impact of the CARE Tipping Point Program in Nepal on adolescent girls’ agency and risk of child, early, or forced marriage: Results from a cluster-randomized controlled trial
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Kathryn M. Yount, Robert L. Durr, Irina Bergenfeld, Sudhindra Sharma, Cari Jo Clark, Anne Laterra, Sadhvi Kalra, Anne Sprinkel, and Yuk Fai Cheong
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Adolescence ,Agency ,Child, early, forced marriage (CEFM) ,Gender and social norms ,Girl child ,Nepal ,Public aspects of medicine ,RA1-1270 ,Social sciences (General) ,H1-99 - Abstract
Background: Girl child, early, and forced marriage (CEFM) persists in South Asia, with long-term effects on well-being. CARE's Tipping Point Initiative (TPI) sought to address the gender norms and inequalities underlying CEFM by engaging participant groups on programmatic topics and supporting community dialogue to build girls' agency, shift power relations, and change norms. We assessed impacts of the CARE TPI on girls' multifaceted agency and risk of CEFM in Nepal. Methods: The quantitative evaluation was a three-arm, cluster-randomized controlled trial (control; Tipping Point Program [TPP]; Tipping Point Plus Program [TPP+] with emphasized social-norms change). Fifty-four clusters of ∼200 households each were selected from two districts (27:27) with probability proportional to size and randomized evenly to study arms. A pre-baseline census identified unmarried girls 12–16 years (1,242) and adults 25 years or older (540). Questionnaires covered marriage; agency; social networks/norms; and discrimination/violence. Baseline participation was 1,140 girls and 540 adults. Retention was 1,124 girls and 531 adults. Regression-based difference-in-difference models assessed program effects on 15 agency-related secondary outcomes. Cox-proportional hazard models assessed program effects on time to marriage. Sensitivity analyses assessed the robustness of findings. Results: At follow-up, marriage was rare for girls (
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- 2023
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154. Improving awareness of rabies and free-roaming dogs in schools of Guwahati, Assam, India: exploring the educators’ perspective
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Mohanty, Parimala, primary, Durr, Salome, additional, Heydtmann, Samira, additional, Sarkar, Amrita, additional, and Tiwari, Harish Kumar, additional
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- 2024
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155. Epidemiology of perioperative anaphylaxis in France in 2017–2018: the 11th GERAP survey
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Tacquard, Charles, primary, Serrier, Julien, additional, Viville, Simon, additional, Chiriac, Anca-Mirela, additional, Franchina, Sébastien, additional, Gouel-Cheron, Aurélie, additional, Giraudon, Antoine, additional, Le Guen, Morgan, additional, Le Quang, Diane, additional, Malinovsky, Jean-Marc, additional, Petitpain, Nadine, additional, Demoly, Pascal, additional, Mertes, Paul M., additional, Martine, Morisset, additional, Solène, Husser, additional, Vinh An, Huyn, additional, Mélanie, Perquin, additional, Florence, Lakkis-Castelain, additional, Christine, Feesenmeyer, additional, Christelle, Pellerin, additional, Marilyne, Bordes-Demolis, additional, Antoine, Giraudon, additional, Elleni, Vaia, additional, Delphine, Mariotte, additional, Yann, Ollivier, additional, Julien, Serrier, additional, Georgia, Dalampira, additional, Daniela, Muti, additional, Charlotte, Baud, additional, Ferrand, Clermont, additional, Rosita, Capo-Chichi, additional, Sandrine, Seltzer, additional, Sophie, Vandenbergue-Durr, additional, Valentina, Zambelli, additional, Eloïse, Pottier, additional, Amélie, Mear, additional, Guillaume, Pouessel, additional, Alain, Facon, additional, De Chambure Diane, Pelletier, additional, Christine, Delebarre-Sauvage, additional, Juliette, Caron, additional, Elisabeth, Bellet, additional, Isabelle, Orsel, additional, Christelle, Mullet, additional, Nathalie, Diot-Junique, additional, Rolande, Ferrenq-Dubost, additional, Carine, Billard, additional, Sébastien, Lefervre, additional, Anca, Chiriac, additional, Pascal, Demoly, additional, Marion, Gouitaa, additional, Eva, Serrano, additional, Marie, Tezier, additional, El Hanache, Hassan, additional, Luc, Colas, additional, Emmanuelle, Aguinet, additional, Isabelle, Petit, additional, Gilles, Rezzadori, additional, Minaxi, Patel, additional, Sophie, Miran, additional, Aïcha, Merzouk, additional, Magdalena, Smilov, additional, Aurélie, Gouel-Cheron, additional, Catherine, Neukirch, additional, Chantal, Karila-Beaulier, additional, David, Lepage, additional, Alice, Seringulian, additional, Marion, Verdaguer, additional, Valérie, Renauld, additional, Jean-Marc, Malinovsky, additional, Cécile, Rochefort-Morel, additional, Sabrina, Dessard, additional, Le Guillou, Lisa, additional, Sébastien, Franchina, additional, Yannick, Meunier, additional, Emmanuel, Girard, additional, Samer, Nafeh, additional, Cédric, Delzanno, additional, Charles, Dzviga, additional, Rodolphe, Stenger, additional, Charles, Tacquard, additional, Paul-Michel, Mertes, additional, Céline, Gil, additional, Claire, Mailhol, additional, Isabelle, Migueres, additional, and Cyrille, Hoarau, additional
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- 2024
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156. Neuro-Psychological Outcome of ICU-Admitted COVID-19 Patients Presenting With CNS Complications
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Pelle, Juliette, Nedelec, Thomas, Marois, Clémence, Delorme, Cecile, Corvol, Jean-Christophe, Delattre, Jean-Yves, Carvalho, Stephanie, Sagnes, Sandrine, Dubois, Bruno, Navarro, Vincent, Louapre, Celine, Stojkovic, Tanya, Idbaih, Ahmed, Rosso, Charlotte, Grabli, David, Gales, Ana Zenovia, Millet, Bruno, Rohaut, Benjamin, Bayen, Eleonore, Dupont, Sophie, Bruneteau, Gaelle, Lehericy, Stephane, Seilhean, Danielle, Durr, Alexandra, Lamari, Foudil, Houot, Marion, Brochard, Vanessa Batista, Lubetzki, Catherine, Seilhean, Danielle, Pradat-Diehl, Pascale, Rosso, Charlotte, Hoang-Xuan, Khe, Fontaine, Bertrand, Naccache, Lionel, Fossati, Philippe, Arnulf, Isabelle, Durr, Alexandra, Carpentier, Alexandre, Edel, Yves, Robain, Gilberte, Thoumie, Philippe, Degos, Bertrand, Sharshar, Tarek, Alamowitch, Sonia, Apartis-Bourdieu, Emmanuelle, Peretti, Charles-Siegried, Ursu, Renata, Dzierzynski, Nathalie, Bourron, Kiyoka Kinugawa, Belmin, Joel, Oquendo, Bruno, Pautas, Eric, Verny, Marc, Samson, Yves, Leder, Sara, Leger, Anne, Deltour, Sandrine, Baronnet, Flore, Bombois, Stephanie, Touat, Mehdi, Idbaih, Ahmed, Sanson, Marc, Dehais, Caroline, Houillier, Caroline, Laigle-Donadey, Florence, Psimaras, Dimitri, Alenton, Agusti, Younan, Nadia, Villain, Nicolas, Grabli, David, del Mar Amador, Maria, Bruneteau, Gaelle, Louapre, Celine, Mariani, Louise-Laure, Mezouar, Nicolas, Mangone, Graziella, Meneret, Aurelie, Hartmann, Andreas, Tarrano, Clement, Bendetowicz, David, Pradat, Pierre-François, Baulac, Michel, Sambin, Sara, Pichit, Phintip, Chochon, Florence, Hesters, Adele, Herlin, Bastien, Nguyen, An Hung, Procher, Valerie, Demoule, Alexandre, Morawiec, Elise, Mayaux, Julien, Faure, Morgan, Ewenczyk, Claire, Coarelli, Giulia, Heinzmann, Anna, Stojkovic, Tanya, Masingue, Marion, Bassez, Guillaume, Navarro, Vincent, An, Isabelle, Worbe, Yulia, Lambrecq, Virginie, Debs, Rabab, Musat, Esteban Munoz, Lenglet, Timothee, Lambrecq, Virginie, Hanin, Aurelie, Chougar, Lydia, Shor, Nathalia, Pyatigorskaya, Nadya, Galanaud, Damien, Leclercq, Delphine, Demeret, Sophie, Rohaut, Benjamin, Cao, Albert, Marois, Clemence, Weiss, Nicolas, Gassama, Salimata, Guennec, Loic Le, Degos, Vincent, Jacquens, Alice, Similowski, Thomas, Morelot-Panzini, Capucine, Rotge, Jean-Yves, Saudreau, Bertrand, Millet, Bruno, Pitron, Victor, Sarni, Nassim, Girault, Nathalie, Maatoug, Redwan, Leu, Smaranda, Bayen, Eleonore, Thivard, Lionel, Mokhtari, Karima, Plu, Isabelle, Gonçalves, Bruno, Bottin, Laure, Yger, Marion, Ouvrard, Gaelle, Haddad, Rebecca, Ketz, Flora, Lafuente, Carmelo, Oasi, Christel, Megabarne, Bruno, Herve, Dominique, Salman, Haysam, Rametti-Lacroux, Armelle, Chalançon, Alize, Herve, Anais, Royer, Hugo, Beauzor, Florence, Maheo, Valentine, Laganot, Christelle, Minelli, Camille, Fekete, Aurelie, Grine, Abel, Biet, Marie, Hilab, Rania, Besnard, Aurore, Bouguerra, Meriem, Goudard, Gwen, Houairi, Saida, Al-Youssef, Saba, Pires, Christine, Oukhedouma, Anissa, Siuda-Krzywicka, Katarzyna, Malkinson, Tal Seidel, Agguini, Hanane, Said, Safia, and Houot, Marion
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- 2023
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157. Dependence of divertor turbulence on plasma density and current in TCV
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C. Wüthrich, C. Theiler, D.S. Oliveira, Y. Wang, R. Ducker, G. Durr-Legoupil-Nicoud, B.P. Duval, D. Galassi, T. Golfinopolus, K. Lee, N. Offeddu, C.K. Tsui, and the TCV team
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tokamak ,divertor ,turbulence ,filament ,scrape-off layer (SOL) ,particle and heat fluxes ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
To reliably predict the distribution of heat and particle fluxes at the target plates of tokamaks, a comprehensive understanding of turbulence throughout the entire Scrape-Off-Layer (SOL) is imperative. This study examines divertor turbulence systematically across a broad parameter range on the TCV tokamak, including variations in magnetic field direction, plasma current $I_{\mathrm{p}} \in [140, 320]$ kA, edge safety factor $q_{95} \in [2.6,4.7]$ and Greenwald fraction $f_{\mathrm{G}}\in [0.18,0.6]$ . The TCV X-point Gas Puff Imaging (GPI) system is used to measure 2D filament properties in the inner and outer divertor region. The fluctuation levels in the divertor are found to strongly increase with density (to 80% over most of the SOL) while remaining insensitive to $I_{\mathrm{p}}$ . The previously identified divertor-localized filaments (DLF), located on the bad curvature side of the outer divertor leg, are found to be a common feature on TCV, while no filaments are observed in the PFR. DLFs are present over most of the parameter space and in both field directions. However, they are absent, or appear only closer to the target, for sufficiently large $\Lambda_{\mathrm{div}}\gtrsim 10$ or $q_{95}\gtrsim3.7$ . Across both $I_{\mathrm{p}}$ and $f_{\mathrm{G}}$ scans, some clear trends with $\Lambda_{\mathrm{div}}$ are found for divertor filament sizes and velocities, and with target fall-off lengths of density and heat flux profiles at the outer target. This study provides important experimental insights to turbulent transport in the divertor also for comparison with self-consistent, turbulence simulations and extrapolation to future reactor conditions.
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- 2024
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158. Experimental research on the TCV tokamak
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B.P. Duval, A. Abdolmaleki, M. Agostini, C.J. Ajay, S. Alberti, E. Alessi, G. Anastasiou, Y. Andrèbe, G.M. Apruzzese, F. Auriemma, J. Ayllon-Guerola, F. Bagnato, A. Baillod, F. Bairaktaris, L. Balbinot, A. Balestri, M. Baquero-Ruiz, C. Barcellona, M. Bernert, W. Bin, P. Blanchard, J. Boedo, T. Bolzonella, F. Bombarda, L. Boncagni, M. Bonotto, T.O.S.J. Bosman, D. Brida, D. Brunetti, J. Buchli, J. Buerman, P. Buratti, A. Burckhart, D. Busil, J. Caloud, Y. Camenen, A. Cardinali, S. Carli, D. Carnevale, F. Carpanese, M. Carpita, C. Castaldo, F. Causa, J. Cavalier, M. Cavedon, J.A. Cazabonne, J. Cerovsky, B. Chapman, M. Chernyshova, P. Chmielewski, A. Chomiczewska, G. Ciraolo, S. Coda, C. Colandrea, C. Contré, R. Coosemans, L. Cordaro, S. Costea, T. Craciunescu, K. Crombe, A. Dal Molin, O. D’Arcangelo, D. de Las Casas, J. Decker, J. Degrave, H. de Oliveira, G.L. Derks, L.E. di Grazia, C. Donner, M. Dreval, M.G. Dunne, G. Durr-Legoupil-Nicoud, B. Esposito, T. Ewalds, M. Faitsch, M. Farník, A. Fasoli, F. Felici, J. Ferreira, O. Février, O. Ficker, A. Frank, E. Fransson, L. Frassinetti, L. Fritz, I. Furno, D. Galassi, K. Gałązka, J. Galdon-Quiroga, S. Galeani, C. Galperti, S. Garavaglia, M. Garcia-Munoz, P. Gaudio, M. Gelfusa, J. Genoud, R. Gerrú Miguelanez, G. Ghillardi, M. Giacomin, L. Gil, A. Gillgren, C. Giroud, T. Golfinopoulos, T. Goodman, G. Gorini, S. Gorno, G. Grenfell, M. Griener, M. Gruca, T. Gyergyek, R. Hafner, M. Hamed, D. Hamm, W. Han, G. Harrer, J.R. Harrison, D. Hassabis, S. Henderson, P. Hennequin, J. Hidalgo-Salaverri, J-P. Hogge, M. Hoppe, J. Horacek, A. Huber, E. Huett, A. Iantchenko, P. Innocente, C. Ionita-Schrittwieser, I. Ivanova Stanik, M. Jablczynska, A. Jansen van Vuuren, A. Jardin, H. Järleblad, A.E. Järvinen, J. Kalis, R. Karimov, A.N. Karpushov, K. Kavukcuoglu, J. Kay, Y. Kazakov, J. Keeling, A. Kirjasuo, J.T.W. Koenders, P. Kohli, M. Komm, M. Kong, J. Kovacic, E. Kowalska-Strzeciwilk, O. Krutkin, O. Kudlacek, U. Kumar, R. Kwiatkowski, B. Labit, L. Laguardia, E. Laszynska, A. Lazaros, K. Lee, E. Lerche, B. Linehan, D. Liuzza, T. Lunt, E. Macusova, D. Mancini, P. Mantica, M. Maraschek, G. Marceca, S. Marchioni, A. Mariani, M. Marin, A. Marinoni, L. Martellucci, Y. Martin, P. Martin, L. Martinelli, F. Martinelli, J.R. Martin-Solis, S. Masillo, R. Masocco, V. Masson, A. Mathews, M. Mattei, D. Mazon, S. Mazzi, S.Y. Medvedev, C. Meineri, A. Mele, V. Menkovski, A. Merle, H. Meyer, K. Mikszuta-Michalik, I.G. Miron, P.A. Molina Cabrera, A. Moro, A. Murari, P. Muscente, D. Mykytchuk, F. Nabais, F. Napoli, R.D. Nem, M. Neunert, S.K. Nielsen, A. Nielsen, M. Nocente, S. Noury, S. Nowak, H. Nyström, N. Offeddu, S. Olasz, F. Oliva, D.S. Oliveira, F.P. Orsitto, N. Osborne, P. Oyola Dominguez, O. Pan, E. Panontin, A.D. Papadopoulos, P. Papagiannis, G. Papp, M. Passoni, F. Pastore, A. Pau, R.O. Pavlichenko, A.C. Pedersen, M. Pedrini, G. Pelka, E. Peluso, A. Perek, C. Perez Von Thun, F. Pesamosca, D. Pfau, V. Piergotti, L. Pigatto, C. Piron, L. Piron, A. Pironti, U. Plank, V. Plyusnin, Y.R.J. Poels, G.I. Pokol, J. Poley-Sanjuan, M. Poradzinski, L. Porte, C. Possieri, A. Poulsen, M.J. Pueschel, T. Pütterich, V. Quadri, M. Rabinski, R. Ragona, H. Raj, A. Redl, H. Reimerdes, C. Reux, D. Ricci, M. Riedmiller, S. Rienäcker, D. Rigamonti, N. Rispoli, J.F. Rivero-Rodriguez, C.F. Romero Madrid, J. Rueda Rueda, P.J. Ryan, M. Salewski, A. Salmi, M. Sassano, O. Sauter, N. Schoonheere, R.W. Schrittwieser, F. Sciortino, A. Selce, L. Senni, S. Sharapov, U.A. Sheikh, B. Sieglin, M. Silva, D. Silvagni, B. Simmendefeldt Schmidt, L. Simons, E.R. Solano, C. Sozzi, M. Spolaore, L. Spolladore, A. Stagni, P. Strand, G. Sun, W. Suttrop, J. Svoboda, B. Tal, T. Tala, P. Tamain, M. Tardocchi, A. Tema Biwole, A. Tenaglia, D. Terranova, D. Testa, C. Theiler, A. Thornton, A.S. Thrysoe, M. Tomes, E. Tonello, H. Torreblanca, B. Tracey, M. Tsimpoukelli, C. Tsironis, C.K. Tsui, M. Ugoletti, M. Vallar, M. van Berkel, S. van Mulders, M. van Rossem, C. Venturini, M. Veranda, T. Verdier, K. Verhaegh, L. Vermare, N. Vianello, E. Viezzer, F. Villone, B. Vincent, P. Vincenzi, I. Voitsekhovitch, L. Votta, N.M.T. Vu, Y. Wang, E. Wang, T. Wauters, M. Weiland, H. Weisen, N. Wendler, S. Wiesen, M. Wiesenberger, T. Wijkamp, C. Wüthrich, D. Yadykin, H. Yang, V. Yanovskiy, J. Zebrowski, P. Zestanakis, M. Zuin, and M. Zurita
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TCV ,review ,plasma ,SPC ,EPFL ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Tokamak à configuration variable (TCV), recently celebrating 30 years of near-continual operation, continues in its missions to advance outstanding key physics and operational scenario issues for ITER and the design of future power plants such as DEMO. The main machine heating systems and operational changes are first described. Then follow five sections: plasma scenarios. ITER Base-Line (IBL) discharges, triangularity studies together with X3 heating and N2 seeding. Edge localised mode suppression, with a high radiation region near the X-point is reported with N _2 injection with and without divertor baffles in a snowflake configuration. Negative triangularity (NT) discharges attained record, albeit transient, β _N ∼ 3 with lower turbulence, higher low-Z impurity transport, vertical stability and density limits and core transport better than the IBL. Positive triangularity L-Mode linear and saturated ohmic confinement confinement saturation, often-correlated with intrinsic toroidal rotation reversals, was probed for D, H and He working gases. H-mode confinement and pedestal studies were extended to low collisionality with electron cyclotron heating obtaining steady state electron iternal transport barrier with neutral beam heating (NBH), and NBH driven H-mode configurations with off-axis co-electron cyclotron current drive. Fast particle physics. The physics of disruptions, runaway electrons and fast ions (FIs) was developed using near-full current conversion at disruption with recombination thresholds characterised for impurity species (Ne, Ar, Kr). Different flushing gases (D2, H2) and pathways to trigger a benign disruption were explored. The 55 kV NBH II generated a rich Alfvénic spectrum modulating the FI fas ion loss detector signal. NT configurations showed less toroidal Alfvén excitation activity preferentially affecting higher FI pitch angles. Scrape-off layer and edge physics. gas puff imaging systems characterised turbulent plasma ejection for several advanced divertor configurations, including NT. Combined diagnostic array divertor state analysis in detachment conditions was compared to modelling revealing an importance for molecular processes. Divertor physics. Internal gas baffles diversified to include shorter/longer structures on the high and/or low field side to probe compressive efficiency. Divertor studies concentrated upon mitigating target power, facilitating detachment and increasing the radiated power fraction employing alternative divertor geometries, optimised X-point radiator regimes and long-legged configurations. Smaller-than-expected improvements with total flux expansion were better modelled when including parallel flows. Peak outer target heat flux reduction was achieved (>50%) for high flux-expansion geometries, maintaining core performance ( H _98 > 1). A reduction in target heat loads and facilitated detachment access at lower core densities is reported. Real-time control. TCV’s real-time control upgrades employed MIMO gas injector control of stable, robust, partial detachment and plasma β feedback control avoiding neoclassical tearing modes with plasma confinement changes. Machine-learning enhancements include trajectory tracking disruption proximity and avoidance as well as a first-of-its-kind reinforcement learning-based controller for the plasma equilibrium trained entirely on a free-boundary simulator. Finally, a short description of TCV’s immediate future plans will be given.
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- 2024
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159. Overview of the EUROfusion Tokamak Exploitation programme in support of ITER and DEMO
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E. Joffrin, M. Wischmeier, M. Baruzzo, A. Hakola, A. Kappatou, D. Keeling, B. Labit, E. Tsitrone, N. Vianello, the ASDEX Upgrade Team, JET Contributors, the MAST-U Team, the TCV Team, the WEST Team, the EUROfusion Tokamak Exploitation Team:, D. Abate, J. Adamek, M. Agostini, C. Albert, F.C.P. Albert Devasagayam, S. Aleiferis, E. Alessi, J. Alhage, S. Allan, J. Allcock, M. Alonzo, G. Anastasiou, E. Andersson Sunden, C. Angioni, Y. Anquetin, L. Appel, G.M. Apruzzese, M. Ariola, C. Arnas, J.F. Artaud, W. Arter, O. Asztalos, L. Aucone, M.H. Aumeunier, F. Auriemma, J. Ayllon, E. Aymerich, A. Baciero, F. Bagnato, L. Bähner, F. Bairaktaris, P. Balázs, L. Balbinot, I. Balboa, M. Balden, A. Balestri, M. Baquero Ruiz, T. Barberis, C. Barcellona, O. Bardsley, S. Benkadda, T. Bensadon, E. Bernard, M. Bernert, H. Betar, R. Bianchetti Morales, J. Bielecki, R. Bilato, P. Bilkova, W. Bin, G. Birkenmeier, R. Bisson, P. Blanchard, A. Bleasdale, V. Bobkov, A. Boboc, A. Bock, K. Bogar, P. Bohm, T. Bolzonella, F. Bombarda, N. Bonanomi, L. Boncagni, D. Bonfiglio, R. Bonifetto, M. Bonotto, D. Borodin, I. Borodkina, T.O.S.J. Bosman, C. Bourdelle, C. Bowman, S. Brezinsek, D. Brida, F. Brochard, R. Brunet, D. Brunetti, V. Bruno, R. Buchholz, J. Buermans, H. Bufferand, P. Buratti, A. Burckhart, J. Cai, R. Calado, J. Caloud, S. Cancelli, F. Cani, B. Cannas, M. Cappelli, S. Carcangiu, A. Cardinali, S. Carli, D. Carnevale, M. Carole, M. Carpita, D. Carralero, F. Caruggi, I.S. Carvalho, I. Casiraghi, A. Casolari, F.J. Casson, C. Castaldo, A. Cathey, F. Causa, J. Cavalier, M. Cavedon, J. Cazabonne, M. Cecconello, L. Ceelen, A. Celora, J. Cerovsky, C.D. Challis, R. Chandra, A. Chankin, B. Chapman, H. Chen, M. Chernyshova, A.G. Chiariello, P. Chmielewski, A. Chomiczewska, C. Cianfarani, G. Ciraolo, J. Citrin, F. Clairet, S. Coda, R. Coelho, J.W. Coenen, I.H. Coffey, C. Colandrea, L. Colas, S. Conroy, C. Contre, N.J. Conway, L. Cordaro, Y. Corre, D. Costa, S. Costea, D. Coster, X. Courtois, C. Cowley, T. Craciunescu, G. Croci, A.M. Croitoru, K. Crombe, D.J. Cruz Zabala, G. Cseh, T. Czarski, A. Da Ros, A. Dal Molin, M. Dalla Rosa, Y. Damizia, O. D’Arcangelo, P. David, M. De Angeli, E. De la Cal, E. De La Luna, G. De Tommasi, J. Decker, R. Dejarnac, D. Del Sarto, G. Derks, C. Desgranges, P. Devynck, S. Di Genova, L.E. di Grazia, A. Di Siena, M. Dicorato, M. Diez, M. Dimitrova, T. Dittmar, L. Dittrich, J.J. Domínguez Palacios Durán, P. Donnel, D. Douai, S. Dowson, S. Doyle, M. Dreval, P. Drews, L. Dubus, R. Dumont, D. Dunai, M. Dunne, A. Durif, F. Durodie, G. Durr Legoupil Nicoud, B. Duval, R. Dux, T. Eich, A. Ekedahl, S. Elmore, G. Ericsson, J. Eriksson, B. Eriksson, F. Eriksson, S. Ertmer, A. Escarguel, B. Esposito, T. Estrada, E. Fable, M. Faitsch, N. Fakhrayi Mofrad, A. Fanni, T. Farley, M. Farník, N. Fedorczak, F. Felici, X. Feng, J. Ferreira, D. Ferreira, N. Ferron, O. Fevrier, O. Ficker, A.R. Field, A. Figueiredo, N. Fil, D. Fiorucci, M. Firdaouss, R. Fischer, M. Fitzgerald, M. Flebbe, M. Fontana, J. Fontdecaba Climent, A. Frank, E. Fransson, L. Frassinetti, D. Frigione, S. Futatani, R. Futtersack, S. Gabriellini, D. Gadariya, D. Galassi, K. Galazka, J. Galdon, S. Galeani, D. Gallart, A. Gallo, C. Galperti, M. Gambrioli, S. Garavaglia, J. Garcia, M. Garcia Munoz, J. Gardarein, L. Garzotti, J. Gaspar, R. Gatto, P. Gaudio, M. Gelfusa, J. Gerardin, S.N. Gerasimov, R. Gerru Miguelanez, G. Gervasini, Z. Ghani, F.M. Ghezzi, G. Ghillardi, L. Giannone, S. Gibson, L. Gil, A. Gillgren, E. Giovannozzi, C. Giroud, G. Giruzzi, T. Gleiter, M. Gobbin, V. Goloborodko, A. González Ganzábal, T. Goodman, V. Gopakumar, G. Gorini, T. Görler, S. Gorno, G. Granucci, D. Greenhouse, G. Grenfell, M. Griener, W. Gromelski, M. Groth, O. Grover, M. Gruca, A. Gude, C. Guillemaut, R. Guirlet, J. Gunn, T. Gyergyek, L. Hagg, J. Hall, C.J. Ham, M. Hamed, T. Happel, G. Harrer, J. Harrison, D. Harting, N.C. Hawkes, P. Heinrich, S. Henderson, P. Hennequin, R. Henriques, S. Heuraux, J. Hidalgo Salaverri, J. Hillairet, J.C. Hillesheim, A. Hjalmarsson, A. Ho, J. Hobirk, E. Hodille, M. Hölzl, M. Hoppe, J. Horacek, N. Horsten, L. Horvath, M. Houry, K. Hromasova, J. Huang, Z. Huang, A. Huber, E. Huett, P. Huynh, A. Iantchenko, M. Imrisek, P. Innocente, C. Ionita Schrittwieser, H. Isliker, P. Ivanova, I. Ivanova Stanik, M. Jablczynska, S. Jachmich, A.S. Jacobsen, P. Jacquet, A. Jansen van Vuuren, A. Jardin, H. Järleblad, A. Järvinen, F. Jaulmes, T. Jensen, I. Jepu, S. Jessica, T. Johnson, A. Juven, J. Kalis, J. Karhunen, R. Karimov, A.N. Karpushov, S. Kasilov, Y. Kazakov, P.V. Kazantzidis, W. Kernbichler, HT. Kim, D.B. King, V.G. Kiptily, A. Kirjasuo, K.K. Kirov, A. Kirschner, A. Kit, T. Kiviniemi, F. Kjær, E. Klinkby, A. Knieps, U. Knoche, M. Kochan, F. Köchl, G. Kocsis, J.T.W. Koenders, L. Kogan, Y. Kolesnichenko, Y. Kominis, M. Komm, M. Kong, B. Kool, S.B. Korsholm, D. Kos, M. Koubiti, J. Kovacic, Y. Kovtun, E. Kowalska Strzeciwilk, K. Koziol, M. Kozulia, A. Krämer Flecken, A. Kreter, K. Krieger, U. Kruezi, O. Krutkin, O. Kudlacek, U. Kumar, H. Kumpulainen, M.H. Kushoro, R. Kwiatkowski, M. La Matina, M. Lacquaniti, L. Laguardia, P. Lainer, P. Lang, M. Larsen, E. Laszynska, K.D. Lawson, A. Lazaros, E. Lazzaro, M.Y.K. Lee, S. Leerink, M. Lehnen, M. Lennholm, E. Lerche, Y. Liang, A. Lier, J. Likonen, O. Linder, B. Lipschultz, A. Listopad, X. Litaudon, E. Litherland Smith, D. Liuzza, T. Loarer, P.J. Lomas, J. Lombardo, N. Lonigro, R. Lorenzini, C. Lowry, T. Luda di Cortemiglia, A. Ludvig Osipov, T. Lunt, V. Lutsenko, E. Macusova, R. Mäenpää, P. Maget, C.F. Maggi, J. Mailloux, S. Makarov, K. Malinowski, P. Manas, A. Mancini, D. Mancini, P. Mantica, M. Mantsinen, J. Manyer, M. Maraschek, G. Marceca, G. Marcer, C. Marchetto, S. Marchioni, A. Mariani, M. Marin, M. Markl, T. Markovic, D. Marocco, S. Marsden, L. Martellucci, P. Martin, C. Martin, F. Martinelli, L. Martinelli, J.R. Martin Solis, R. Martone, M. Maslov, R. Masocco, M. Mattei, G.F. Matthews, D. Matveev, E. Matveeva, M.L. Mayoral, D. Mazon, S. Mazzi, C. Mazzotta, G. McArdle, R. McDermott, K. McKay, A.G. Meigs, C. Meineri, A. Mele, V. Menkovski, S. Menmuir, A. Merle, H. Meyer, K. Mikszuta Michalik, D. Milanesio, F. Militello, A. Milocco, I.G. Miron, J. Mitchell, R. Mitteau, V. Mitterauer, J. Mlynar, V. Moiseenko, P. Molna, F. Mombelli, C. Monti, A. Montisci, J. Morales, P. Moreau, J.M. Moret, A. Moro, D. Moulton, P. Mulholland, M. Muraglia, A. Murari, A. Muraro, P. Muscente, D. Mykytchuk, F. Nabais, Y. Nakeva, F. Napoli, E. Nardon, M.F. Nave, R.D. Nem, A. Nielsen, S.K. Nielsen, M. Nocente, R. Nouailletas, S. Nowak, H. Nyström, R. Ochoukov, N. Offeddu, S. Olasz, C. Olde, F. Oliva, D. Oliveira, H.J.C. Oliver, P. Ollus, J. Ongena, F.P. Orsitto, N. Osborne, R. Otin, P. Oyola Dominguez, D.I. Palade, S. Palomba, O. Pan, N. Panadero, E. Panontin, A. Papadopoulos, P. Papagiannis, G. Papp, V.V. Parail, C. Pardanaud, J. Parisi, A. Parrott, K. Paschalidis, M. Passoni, F. Pastore, A. Patel, B. Patel, A. Pau, G. Pautasso, R. Pavlichenko, E. Pawelec, B. Pegourie, G. Pelka, E. Peluso, A. Perek, E. Perelli Cippo, C. Perez Von Thun, P. Petersson, G. Petravich, Y. Peysson, V. Piergotti, L. Pigatto, C. Piron, L. Piron, A. Pironti, F. Pisano, U. Plank, B. Ploeckl, V. Plyusnin, A. Podolnik, Y. Poels, G. Pokol, J. Poley, G. Por, M. Poradzinski, F. Porcelli, L. Porte, C. Possieri, A. Poulsen, I. Predebon, G. Pucella, M. Pueschel, P. Puglia, O. Putignano, T. Pütterich, V. Quadri, A. Quercia, M. Rabinski, L. Radovanovic, R. Ragona, H. Raj, M. Rasinski, J. Rasmussen, G. Ratta, S. Ratynskaia, R. Rayaprolu, M. Rebai, A. Redl, D. Rees, D. Refy, M. Reich, H. Reimerdes, B.C.G. Reman, O. Renders, C. Reux, D. Ricci, M. Richou, S. Rienacker, D. Rigamonti, F. Rigollet, F.G. Rimini, D. Ripamonti, N. Rispoli, N. Rivals, J.F. Rivero Rodriguez, C. Roach, G. Rocchi, S. Rode, P. Rodrigues, J. Romazanov, C.F. Romero Madrid, J. Rosato, R. Rossi, G. Rubino, J. Rueda Rueda, J. Ruiz Ruiz, P. Ryan, D. Ryan, S. Saarelma, R. Sabot, M. Salewski, A. Salmi, L. Sanchis, A. Sand, J. Santos, K. Särkimäki, M. Sassano, O. Sauter, G. Schettini, S. Schmuck, P. Schneider, N. Schoonheere, R. Schramm, R. Schrittwieser, C. Schuster, N. Schwarz, F. Sciortino, M. Scotto D’Abusco, S. Scully, A. Selce, L. Senni, M. Senstius, G. Sergienko, S.E. Sharapov, R. Sharma, A. Shaw, U. Sheikh, G. Sias, B. Sieglin, S.A. Silburn, C. Silva, A. Silva, D. Silvagni, B. Simmendefeldt Schmidt, L. Simons, J. Simpson, L. Singh, S. Sipilä, Y. Siusko, S. Smith, A. Snicker, E.R. Solano, V. Solokha, M. Sos, C. Sozzi, F. Spineanu, G. Spizzo, M. Spolaore, L. Spolladore, C. Srinivasan, A. Stagni, Z. Stancar, G. Stankunas, J. Stober, P. Strand, C.I. Stuart, F. Subba, G.Y. Sun, H.J. Sun, W. Suttrop, J. Svoboda, T. Szepesi, G. Szepesi, B. Tal, T. Tala, P. Tamain, G. Tardini, M. Tardocchi, D. Taylor, G. Telesca, A. Tenaglia, A. Terra, D. Terranova, D. Testa, C. Theiler, E. Tholerus, B. Thomas, E. Thoren, A. Thornton, A. Thrysoe, Q. TICHIT, W. Tierens, A. Titarenko, P. Tolias, E. Tomasina, M. Tomes, E. Tonello, A. Tookey, M. Toscano Jiménez, C. Tsironis, C. Tsui, A. Tykhyy, M. Ugoletti, M. Usoltseva, D.F. Valcarcel, A. Valentini, M. Valisa, M. Vallar, M. Valovic, SI. Valvis, M. van Berkel, D. Van Eester, S. Van Mulders, M. van Rossem, R. Vann, B. Vanovac, J. Varela Rodriguez, J. Varje, S. Vartanian, M. Vecsei, L. Velarde Gallardo, M. Veranda, T. Verdier, G. Verdoolaege, K. Verhaegh, L. Vermare, G. Verona Rinati, J. Vicente, E. Viezzer, L. Vignitchouk, F. Villone, B. Vincent, P. Vincenzi, M.O. Vlad, G. Vogel, I. Voitsekhovitch, I. Voldiner, P. Vondracek, N.M.T. VU, T. Vuoriheimo, C. Wade, E. Wang, T. Wauters, M. Weiland, H. Weisen, N. Wendler, D. Weston, A. Widdowson, S. Wiesen, M. Wiesenberger, T. Wijkamp, M. Willensdorfer, T. Wilson, A. Wojenski, C. Wuethrich, I. Wyss, L. Xiang, S. Xu, D. Yadykin, Y. Yakovenko, H. Yang, V. Yanovskiy, R. Yi, B. Zaar, G. Zadvitskiy, L. Zakharov, P. Zanca, D. Zarzoso, Y. Zayachuk, J. Zebrowski, M. Zerbini, P. Zestanakis, C. F. B. Zimmermann, M. Zlobinski, A. Zohar, V.K. Zotta, X. Zou, M. Zuin, M. Zurita, and I. Zychor
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JET ,ASDEX Upgrade ,MAST-U ,TCV ,WEST ,Tokamak Exploitation Task Force ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Within the 9th European Framework programme, since 2021 EUROfusion is operating five tokamaks under the auspices of a single Task Force called ‘Tokamak Exploitation’. The goal is to benefit from the complementary capabilities of each machine in a coordinated way and help in developing a scientific output scalable to future largre machines. The programme of this Task Force ensures that ASDEX Upgrade, MAST-U, TCV, WEST and JET (since 2022) work together to achieve the objectives of Missions 1 and 2 of the EUROfusion Roadmap: i) demonstrate plasma scenarios that increase the success margin of ITER and satisfy the requirements of DEMO and, ii) demonstrate an integrated approach that can handle the large power leaving ITER and DEMO plasmas. The Tokamak Exploitation task force has therefore organized experiments on these two missions with the goal to strengthen the physics and operational basis for the ITER baseline scenario and for exploiting the recent plasma exhaust enhancements in all four devices (PEX: Plasma EXhaust) for exploring the solution for handling heat and particle exhaust in ITER and develop the conceptual solutions for DEMO. The ITER Baseline scenario has been developed in a similar way in ASDEX Upgrade, TCV and JET. Key risks for ITER such as disruptions and run-aways have been also investigated in TCV, ASDEX Upgrade and JET. Experiments have explored successfully different divertor configurations (standard, super-X, snowflakes) in MAST-U and TCV and studied tungsten melting in WEST and ASDEX Upgrade. The input from the smaller devices to JET has also been proven successful to set-up novel control schemes on disruption avoidance and detachment.
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- 2024
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160. Parallel flows as a key component to interpret Super-X divertor experiments
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M. Carpita, O. Février, H. Reimerdes, C. Theiler, B.P. Duval, C. Colandrea, G. Durr-Legoupil-Nicoud, D. Galassi, S. Gorno, E. Huett, J. Loizu, L. Martinelli, A. Perek, L. Simons, G. Sun, E. Tonello, C. Wüthrich, and the TCV Team
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power exhaust ,divertor ,detachment ,total flux expansion ,mach number ,parallel flows ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
The Super-X Divertor (SXD) is an alternative divertor configuration leveraging total flux expansion at the Outer Strike Point (OSP). While the extended 2-Point Model (2PM) predicts facilitated detachment access and control in the SXD configuration, these attractive features are not always retrieved experimentally. These discrepancies are at least partially explained by the effect of parallel flows which, when self-consistently included in the 2PM, reveal the role of total flux expansion on the pressure balance and weaken the total flux expansion effect on detachment access and control, compared to the original predictions. This new model can partially explain the discrepancies between the 2PM and experiments performed on tokamak à configuration variable (TCV), in ohmic L-mode scenarios, which are particularly apparent when scanning the OSP major radius Rt. In core density ramps in lower Single-Null (SN) configuration, the impact of Rt on the CIII emission front movement in the divertor outer leg—used as a proxy for the plasma temperature in the divertor—is substantially weaker than 2PM predictions. Furthermore, in OSP radial sweeps in lower and upper SN configurations, in ohmic L-mode scenarios with a constant core density, the peak parallel particle flux density at the OSP is almost independent of Rt, while the 2PM predicts a linear dependence. Finally, analytical and numerical modeling of parallel flows in the divertor is presented. It is shown that an increase in total flux expansion can favour supersonic flows at the OSP. Parallel flows are also shown to be relevant by analysing SOLPS-ITER simulations of TCV.
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- 2024
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161. Predictive power-sharing scaling law in double-null L-mode plasmas
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K. Lim, P. Ricci, L. Stenger, B. De Lucca, G. Durr-Legoupil-Nicoud, O. Février, C. Theiler, and K. Verhaegh
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power exhaust ,alternative divertor configurations ,double null ,boundary plasma ,plasma turbulence ,plasma fluid modeling ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
The physical mechanisms regulating the power sharing at the outer targets of L-mode double-null (DN) configurations are investigated using nonlinear, flux-driven, three-dimensional two-fluid simulations. Scans of parameters that regulate the turbulent level, such as the plasma resistivity and the magnetic imbalance, reveal that the power asymmetry in DN configurations is determined by the combined effects of diamagnetic drift, turbulence, and geometrical factor. Leveraging these observations, an analytical theory-based scaling law for the power-sharing asymmetry is derived and compared with nonlinear simulations. These comparisons indicate that the scaling law effectively captures the trends observed in simulations. Validation with experimental data from TCV DN discharges demonstrates agreement of the scaling law with the experimental results.
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- 2024
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162. Health vulnerability mapping for drought: a case study in a predominantly rural, agricultural state
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Babak Jalalzadeh Fard, Jagadeesh Puvvula, Kelly Smith, Michael Hayes, Rachel Lookadoo, Rezaul Mahmood, Sharon Medcalf, Clinton Rowe, Martha Durr, and Jesse E Bell
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drought vulnerability index (DVI) ,sensitivity ,exposure ,drought and health ,health risk ,agricultural community ,Environmental sciences ,GE1-350 ,Public aspects of medicine ,RA1-1270 - Abstract
Drought is considered among the most devastating climate hazards impacting civilizations, including human health, throughout history. It causes cumulative damages based on the five generally categorized meteorological, hydrological, agricultural, socioeconomic, and ecological droughts. Reducing damages at the local, regional, and global levels requires a better understanding of human (health) vulnerability to drought. While there are different studies to distinguish and measure vulnerabilities for the five aforementioned conditions, there is minimal effort to identify vulnerabilities to health impacts from drought. Our study aims to develop an analysis of vulnerability for Nebraska based on the established health effects associated with drought. We considered vulnerability as the interaction between exposure to drought and different sensitivity measures for a timespan, including the highest drought levels in the 21st century. To calculate the total sensitivities, we extracted ten initial variables and applied two well-known methods of dimensionality reduction and (Weighted) Additive Overlays of percentile-ranked values. The result showed the inadequacy of the former method for our study. We also grouped the sensitivity variables into socioeconomic, environmental, and water-related intervention categories and developed related intensity maps showing different spatial patterns. We calculated the drought exposure levels by adding the intensity, duration, and frequency of drought over the study period (2012–2016) and developed total vulnerability maps to determine the ten most vulnerable counties, of which nine are rural. The resulting three intervention category maps can help related experts find priority areas within Nebraska, and the final vulnerability maps can help distinguish the areas of concern for general state-wide planning. While the results and some sensitivity variables are unique to Nebraska, the provided framework and the inclusion of two different methods can guide other regions in similar studies.
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- 2024
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163. A lab-on-a-chip for the concurrent electrochemical detection of SARS-CoV-2 RNA and anti-SARS-CoV-2 antibodies in saliva and plasma
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Najjar, Devora, Rainbow, Joshua, Sharma Timilsina, Sanjay, Jolly, Pawan, de Puig, Helena, Yafia, Mohamed, Durr, Nolan, Sallum, Hani, Alter, Galit, Li, Jonathan Z., Yu, Xu G., Walt, David R., Paradiso, Joseph A., Estrela, Pedro, Collins, James J., and Ingber, Donald E.
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- 2022
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164. Le discours de l’authenticité: de l’ensauvagement de la langue à l’anéantissement d’autrui
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Flöter-Durr, Margarete
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- 2022
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165. Cardiac Registries During the COVID-19 Pandemic: Lessons Learned
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Singh, Jyotpal, Durr, Michael-Roy R., Deptuch, Elena, Sultana, Sabiha, Mehta, Neha, Garcia, Santiago, Henry, Timothy D., and Dehghani, Payam
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- 2022
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166. Multimodal Densenet
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Mahmood, Faisal, Yang, Ziyun, Ashley, Thomas, and Durr, Nicholas J.
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Humans make accurate decisions by interpreting complex data from multiple sources. Medical diagnostics, in particular, often hinge on human interpretation of multi-modal information. In order for artificial intelligence to make progress in automated, objective, and accurate diagnosis and prognosis, methods to fuse information from multiple medical imaging modalities are required. However, combining information from multiple data sources has several challenges, as current deep learning architectures lack the ability to extract useful representations from multimodal information, and often simple concatenation is used to fuse such information. In this work, we propose Multimodal DenseNet, a novel architecture for fusing multimodal data. Instead of focusing on concatenation or early and late fusion, our proposed architectures fuses information over several layers and gives the model flexibility in how it combines information from multiple sources. We apply this architecture to the challenge of polyp characterization and landmark identification in endoscopy. Features from white light images are fused with features from narrow band imaging or depth maps. This study demonstrates that Multimodal DenseNet outperforms monomodal classification as well as other multimodal fusion techniques by a significant margin on two different datasets., Comment: 10 pages, 6 figures
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- 2018
167. DeepLSR: a deep learning approach for laser speckle reduction
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Bobrow, Taylor L., Mahmood, Faisal, Inserni, Miguel, and Durr, Nicholas J.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Speckle artifacts degrade image quality in virtually all modalities that utilize coherent energy, including optical coherence tomography, reflectance confocal microscopy, ultrasound, and widefield imaging with laser illumination. We present an adversarial deep learning framework for laser speckle reduction, called DeepLSR (https://durr.jhu.edu/DeepLSR), that transforms images from a source domain of coherent illumination to a target domain of speckle-free, incoherent illumination. We apply this method to widefield images of objects and tissues illuminated with a multi-wavelength laser, using light emitting diode-illuminated images as ground truth. In images of gastrointestinal tissues, DeepLSR reduces laser speckle noise by 6.4 dB, compared to a 2.9 dB reduction from optimized non-local means processing, a 3.0 dB reduction from BM3D, and a 3.7 dB reduction from an optical speckle reducer utilizing an oscillating diffuser. Further, DeepLSR can be combined with optical speckle reduction to reduce speckle noise by 9.4 dB. This dramatic reduction in speckle noise may enable the use of coherent light sources in applications that require small illumination sources and high-quality imaging, including medical endoscopy.
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- 2018
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168. Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images
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Mahmood, Faisal, Borders, Daniel, Chen, Richard, McKay, Gregory N., Salimian, Kevan J., Baras, Alexander, and Durr, Nicholas J.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Nuclei segmentation is a fundamental task that is critical for various computational pathology applications including nuclei morphology analysis, cell type classification, and cancer grading. Conventional vision-based methods for nuclei segmentation struggle in challenging cases and deep learning approaches have proven to be more robust and generalizable. However, CNNs require large amounts of labeled histopathology data. Moreover, conventional CNN-based approaches lack structured prediction capabilities which are required to distinguish overlapping and clumped nuclei. Here, we present an approach to nuclei segmentation that overcomes these challenges by utilizing a conditional generative adversarial network (cGAN) trained with synthetic and real data. We generate a large dataset of H&E training images with perfect nuclei segmentation labels using an unpaired GAN framework. This synthetic data along with real histopathology data from six different organs are used to train a conditional GAN with spectral normalization and gradient penalty for nuclei segmentation. This adversarial regression framework enforces higher order consistency when compared to conventional CNN models. We demonstrate that this nuclei segmentation approach generalizes across different organs, sites, patients and disease states, and outperforms conventional approaches, especially in isolating individual and overlapping nuclei.
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- 2018
169. Rethinking Monocular Depth Estimation with Adversarial Training
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Chen, Richard, Mahmood, Faisal, Yuille, Alan, and Durr, Nicholas J.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Monocular depth estimation is an extensively studied computer vision problem with a vast variety of applications. Deep learning-based methods have demonstrated promise for both supervised and unsupervised depth estimation from monocular images. Most existing approaches treat depth estimation as a regression problem with a local pixel-wise loss function. In this work, we innovate beyond existing approaches by using adversarial training to learn a context-aware, non-local loss function. Such an approach penalizes the joint configuration of predicted depth values at the patch-level instead of the pixel-level, which allows networks to incorporate more global information. In this framework, the generator learns a mapping between RGB images and its corresponding depth map, while the discriminator learns to distinguish depth map and RGB pairs from ground truth. This conditional GAN depth estimation framework is stabilized using spectral normalization to prevent mode collapse when learning from diverse datasets. We test this approach using a diverse set of generators that include U-Net and joint CNN-CRF. We benchmark this approach on the NYUv2, Make3D and KITTI datasets, and observe that adversarial training reduces relative error by several fold, achieving state-of-the-art performance.
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- 2018
170. Three Dirac operators on two architectures with one piece of code and no hassle
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Durr, Stephan
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High Energy Physics - Lattice - Abstract
A simple minded approach to implement three discretizations of the Dirac operator (staggered, Wilson, Brillouin) on two architectures (KNL and core i7) is presented. The idea is to use a high-level compiler along with OpenMP parallelization and SIMD pragmas, but to stay away from cache-line optimization and/or assembly-tuning. The implementation is for N_v right-hand-sides, and this extra index is used to fill the SIMD pipeline. On one KNL node single precision performance figures for N_c=3, N_v=12 read 475 Gflop/s, 345 Gflop/s, and 790 Gflop/s for the three discretization schemes, respectively., Comment: 1+6 pages, 3 figures, proceedings of Lattice 2018; v2: typos in eqs. (3.1) and (4.2) corrected, results unchanged
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- 2018
171. Learning Neural Models for End-to-End Clustering
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Meier, Benjamin Bruno, Elezi, Ismail, Amirian, Mohammadreza, Durr, Oliver, and Stadelmann, Thilo
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition ,Statistics - Machine Learning - Abstract
We propose a novel end-to-end neural network architecture that, once trained, directly outputs a probabilistic clustering of a batch of input examples in one pass. It estimates a distribution over the number of clusters $k$, and for each $1 \leq k \leq k_\mathrm{max}$, a distribution over the individual cluster assignment for each data point. The network is trained in advance in a supervised fashion on separate data to learn grouping by any perceptual similarity criterion based on pairwise labels (same/different group). It can then be applied to different data containing different groups. We demonstrate promising performance on high-dimensional data like images (COIL-100) and speech (TIMIT). We call this ``learning to cluster'' and show its conceptual difference to deep metric learning, semi-supervise clustering and other related approaches while having the advantage of performing learnable clustering fully end-to-end., Comment: Accepted for publication on ANNPR 2018
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- 2018
172. Deep Learning with Cinematic Rendering: Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images
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Mahmood, Faisal, Chen, Richard, Sudarsky, Sandra, Yu, Daphne, and Durr, Nicholas J.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Deep learning has emerged as a powerful artificial intelligence tool to interpret medical images for a growing variety of applications. However, the paucity of medical imaging data with high-quality annotations that is necessary for training such methods ultimately limits their performance. Medical data is challenging to acquire due to privacy issues, shortage of experts available for annotation, limited representation of rare conditions and cost. This problem has previously been addressed by using synthetically generated data. However, networks trained on synthetic data often fail to generalize to real data. Cinematic rendering simulates the propagation and interaction of light passing through tissue models reconstructed from CT data, enabling the generation of photorealistic images. In this paper, we present one of the first applications of cinematic rendering in deep learning, in which we propose to fine-tune synthetic data-driven networks using cinematically rendered CT data for the task of monocular depth estimation in endoscopy. Our experiments demonstrate that: (a) Convolutional Neural Networks (CNNs) trained on synthetic data and fine-tuned on photorealistic cinematically rendered data adapt better to real medical images and demonstrate more robust performance when compared to networks with no fine-tuning, (b) these fine-tuned networks require less training data to converge to an optimal solution, and (c) fine-tuning with data from a variety of photorealistic rendering conditions of the same scene prevents the network from learning patient-specific information and aids in generalizability of the model. Our empirical evaluation demonstrates that networks fine-tuned with cinematically rendered data predict depth with 56.87% less error for rendered endoscopy images and 27.49% less error for real porcine colon endoscopy images., Comment: 14 Pages, 4 Figures, 3 Tables, Physics in Medicine and Biology (2018)
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- 2018
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173. User's guide to Monte Carlo methods for evaluating path integrals
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Westbroek, Marise J. E., King, Peter R., Vvedensky, Dimitri D., and Durr, Stephan
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Physics - Computational Physics ,Condensed Matter - Statistical Mechanics ,High Energy Physics - Lattice - Abstract
We give an introduction to the calculation of path integrals on a lattice, with the quantum harmonic oscillator as an example. In addition to providing an explicit computational setup and corresponding pseudocode, we pay particular attention to the existence of autocorrelations and the calculation of reliable errors. The over-relaxation technique is presented as a way to counter strong autocorrelations. The simulation methods can be extended to compute observables for path integrals in other settings.
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- 2017
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174. Meta
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Durr, Patricia A., primary
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- 2022
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175. Digitalisation and Transformative Learning for Sustainable Futures in Rural Africa
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Shetye, Niyanta, primary, Lotz-Sisitka, Heila, additional, Albrecht, Eike, additional, Durr, Sarah, additional, Marx, Dirk, additional, Chirambo, Dumisani, additional, Metelerkamp, Luke, additional, and Zyl-Bulitta, Verena van, additional
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- 2022
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176. Metabolic and Organelle Morphology Defects in Mice and Human Patients Define Spinocerebellar Ataxia Type 7 as a Mitochondrial Disease
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Ward, Jacqueline M, Stoyas, Colleen A, Switonski, Pawel M, Ichou, Farid, Fan, Weiwei, Collins, Brett, Wall, Christopher E, Adanyeguh, Isaac, Niu, Chenchen, Sopher, Bryce L, Kinoshita, Chizuru, Morrison, Richard S, Durr, Alexandra, Muotri, Alysson R, Evans, Ronald M, Mochel, Fanny, and La Spada, Albert R
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Biochemistry and Cell Biology ,Biological Sciences ,Rare Diseases ,Neurodegenerative ,Brain Disorders ,Neurosciences ,Stem Cell Research ,Genetics ,Aetiology ,2.1 Biological and endogenous factors ,Neurological ,Adipose Tissue ,Animals ,Ataxin-7 ,Blood Glucose ,Energy Metabolism ,Humans ,Kynurenine ,Metabolomics ,Mice ,Mitochondria ,Mitochondrial Diseases ,NAD ,Neural Stem Cells ,Organelles ,Peptides ,Phenotype ,Purkinje Cells ,Reproducibility of Results ,Spinocerebellar Ataxias ,Trinucleotide Repeat Expansion ,Tryptophan ,Purkinje cell ,ataxin-7 ,induced pluripotent stem cells ,mitochondria ,mouse model ,nicotinamide adenine dinucleotide ,oxidative metabolism ,polyglutamine ,spinocerebellar ataxia ,trinucleotide repeat ,Medical Physiology ,Biological sciences - Abstract
Spinocerebellar ataxia type 7 (SCA7) is a retinal-cerebellar degenerative disorder caused by CAG-polyglutamine (polyQ) repeat expansions in the ataxin-7 gene. As many SCA7 clinical phenotypes occur in mitochondrial disorders, and magnetic resonance spectroscopy of patients revealed altered energy metabolism, we considered a role for mitochondrial dysfunction. Studies of SCA7 mice uncovered marked impairments in oxygen consumption and respiratory exchange. When we examined cerebellar Purkinje cells in mice, we observed mitochondrial network abnormalities, with enlarged mitochondria upon ultrastructural analysis. We developed stem cell models from patients and created stem cell knockout rescue systems, documenting mitochondrial morphology defects, impaired oxidative metabolism, and reduced expression of nicotinamide adenine dinucleotide (NAD+) production enzymes in SCA7 models. We observed NAD+ reductions in mitochondria of SCA7 patient NPCs using ratiometric fluorescent sensors and documented alterations in tryptophan-kynurenine metabolism in patients. Our results indicate that mitochondrial dysfunction, stemming from decreased NAD+, is a defining feature of SCA7.
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- 2019
177. Shared phytochemicals predict efficacy of essential oils against western flower thrips (Frankliniella occidentalis) in the greenhouse
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Tiffany D. Durr, Chase A. Stratton, Noura S. Dosoky, Prabodh Satyal, and Ebony G. Murrell
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Western flower thrips ,Greenhouse management ,Essential oils ,Gas chromatography ,Monoterpenes ,Sesquiterpenes ,Agriculture - Abstract
Abstract Western flower thrips (Frankliniella occidentalis; Thysanoptera: Thripidae), or WFT, are a global pest of commercial crops, particularly those grown in greenhouses. Current management recommendations often involve judicious use of pesticides to which WFT have evolved multiple resistance phenotypes. Essential oils (EOs) have shown promise as a less toxic alternative for WFT greenhouse management. However, challenges remain in predicting which EOs are most likely to be insecticidal to WFT and ensuring that the efficacy of EOs under bioassay conditions reflect performance in whole-plant application scenarios. To address these challenges, 9 EOs were tested for contact toxicity against WFT in small container assays, then gas chromatography–mass spectroscopy (GC–MS) profiles of each EO were used to quantify concentrations of 22 chemicals shared by at least 5 or more of the plant species. Of these, 13 compounds were positively correlated with thrips mortality. Effective compounds were a mixture of sesquiterpenes, cyclic monoterpenes, and noncyclic monoterpenes. Interestingly, no bicyclic monoterpenes shared among the essential oils tested correlated with thrips mortality. Whole-plant assays of the four best EOs from the container assay showed significant reduction in the number of thrips per plant, although mortality in EO treatments in the whole plant assay was lower than in the container assay. In addition, all four EOs were as efficacious as the conventional insecticide flonicamid. Identifying other EOs with high concentrations of the efficacious compounds that were identified in this study and using container assays to screen these oils for WFT thrip mortality and phytotoxicity could help integrated pest management (IPM) practitioners and greenhouse staff to more rapidly accumulate a suite of EOs as low toxicity alternatives for management of WFT in greenhouse settings. Graphical Abstract
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- 2022
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178. Soliton formation and topology manipulation of coupled spins via ultrafast re-magnetization
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Fullerton, Eric, primary, Shpyrko, Oleg, additional, Silva, Thomas, additional, Hoefer, Mark, additional, and Durr, Hermann, additional
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- 2023
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179. Effect of noninvasive respiratory strategies on intubation or mortality among patients with acute hypoxemic respiratory failure and COVID-19: The RECOVERY-RS randomized clinical trial
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Durr, Kevin M., Yadav, Krishan, and Rosenberg, Hans
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- 2022
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180. Assessment of accredited veterinary diagnostic laboratory use of breakpoints for canine and feline Escherichia coli infections in the United States and Canada
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Brandon J. Durr, Larry D. Ballard, Angela D. Knight, Keun-Seok Seo, Vernon C. Langston, Alexis C. Thompson, Jacob M. Shivley, and W. Cooper Brookshire
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veterinary ,antibiotic susceptibility testing ,canine ,feline ,E. coli ,breakpoint ,Veterinary medicine ,SF600-1100 - Abstract
The objective of this study was to assess the use of breakpoints in antibiotic susceptibility testing among veterinary diagnostic laboratories in the United States and Canada. An eight-question survey was conducted via phone and email to determine how often laboratories use breakpoints consistent with published guidelines in wounds, lower urinary tract infections and upper urinary tract infections (pyelonephritis) involving Escherichia coli, both in dogs and cats, for a total of 6 different hypothetical clinical scenarios. Nineteen veterinary diagnostic laboratories that perform antibiotic susceptibility testing on samples from dogs and cats in the United States or Canada and were accredited by the American Association of Veterinary Laboratory Diagnosticians (AAVLD) responded to the survey between January 15th and September 15th, 2022. The overall response rate of laboratories that were not excluded for known lack of dog and cat antibiotic susceptibility testing was 19 of 44 laboratories. Of the 17 respondent laboratories that reported using minimal inhibitory concentration breakpoints, only four laboratories used breakpoints consistent with published guidelines in all six clinical scenarios included in the survey. Our results suggest that there is clinically important variation in what breakpoints laboratories use to determine antibiotic susceptibility, which is of antibiotic stewardship and clinical relevance. Using breakpoints that are too high, too low, or inappropriately reporting “not interpreted” as the interpretive category may result in inappropriate use of antibiotics.
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- 2023
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181. Progressive alterations in white matter microstructure across the timecourse of Huntington's disease
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Carlos Estevez‐Fraga, Michael S. Elmalem, Marina Papoutsi, Alexandra Durr, Elin M. Rees, Nicola Z. Hobbs, Raymund A. C. Roos, Bernhard Landwehrmeyer, Blair R. Leavitt, Douglas R. Langbehn, Rachael I. Scahill, Geraint Rees, Sarah J. Tabrizi, and Sarah Gregory
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diffusion tensor imaging ,Huntington's disease ,longitudinal ,presymptomatic ,symptomatic ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Abstract Background Whole‐brain longitudinal diffusion studies are crucial to examine changes in structural connectivity in neurodegeneration. Here, we investigated the longitudinal alterations in white matter (WM) microstructure across the timecourse of Huntington's disease (HD). Methods We examined changes in WM microstructure from premanifest to early manifest disease, using data from two cohorts with different disease burden. The TrackOn‐HD study included 67 controls, 67 premanifest, and 10 early manifest HD (baseline and 24‐month data); the PADDINGTON study included 33 controls and 49 early manifest HD (baseline and 15‐month data). Longitudinal changes in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity, and radial diffusivity from baseline to last study visit were investigated for each cohort using tract‐based spatial statistics. An optimized pipeline was employed to generate participant‐specific templates to which diffusion tensor imaging maps were registered and change maps were calculated. We examined longitudinal differences between HD expansion‐carriers and controls, and correlations with clinical scores, including the composite UHDRS (cUHDRS). Results HD expansion‐carriers from TrackOn‐HD, with lower disease burden, showed a significant longitudinal decline in FA in the left superior longitudinal fasciculus and an increase in MD across subcortical WM tracts compared to controls, while in manifest HD participants from PADDINGTON, there were significant widespread longitudinal increases in diffusivity compared to controls. Baseline scores in clinical scales including the cUHDRS predicted WM microstructural change in HD expansion‐carriers. Conclusion The present study showed significant longitudinal changes in WM microstructure across the HD timecourse. Changes were evident in larger WM areas and across more metrics as the disease advanced, suggesting a progressive alteration of WM microstructure with disease evolution.
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- 2023
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182. Clinical, genetic, epidemiologic, evolutionary, and functional delineation of TSPEAR-related autosomal recessive ectodermal dysplasia 14
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Adam Jackson, Sheng-Jia Lin, Elizabeth A. Jones, Kate E. Chandler, David Orr, Celia Moss, Zahra Haider, Gavin Ryan, Simon Holden, Mike Harrison, Nigel Burrows, Wendy D. Jones, Mary Loveless, Cassidy Petree, Helen Stewart, Karen Low, Deirdre Donnelly, Simon Lovell, Konstantina Drosou, Gaurav K. Varshney, Siddharth Banka, J.C. Ambrose, P. Arumugam, R. Bevers, M. Bleda, F. Boardman-Pretty, C.R. Boustred, H. Brittain, M.A. Brown, M.J. Caulfield, G.C. Chan, A. Giess, J.N. Griffin, A. Hamblin, S. Henderson, T.J.P. Hubbard, R. Jackson, L.J. Jones, D. Kasperaviciute, M. Kayikci, A. Kousathanas, L. Lahnstein, A. Lakey, S.E.A. Leigh, I.U.S. Leong, F.J. Lopez, F. Maleady-Crowe, M. McEntagart, F. Minneci, J. Mitchell, L. Moutsianas, M. Mueller, N. Murugaesu, A.C. Need, P. O‘Donovan, C.A. Odhams, C. Patch, D. Perez-Gil, M.B. Pereira, J. Pullinger, T. Rahim, A. Rendon, T. Rogers, K. Savage, K. Sawant, R.H. Scott, A. Siddiq, A. Sieghart, S.C. Smith, A. Sosinsky, A. Stuckey, M. Tanguy, A.L. Taylor Tavares, E.R.A. Thomas, S.R. Thompson, A. Tucci, M.J. Welland, E. Williams, K. Witkowska, S.M. Wood, M. Zarowiecki, Olaf Riess, Tobias B. Haack, Holm Graessner, Birte Zurek, Kornelia Ellwanger, Stephan Ossowski, German Demidov, Marc Sturm, Julia M. Schulze-Hentrich, Rebecca Schüle, Christoph Kessler, Melanie Wayand, Matthis Synofzik, Carlo Wilke, Andreas Traschütz, Ludger Schöls, Holger Hengel, Peter Heutink, Han Brunner, Hans Scheffer, Nicoline Hoogerbrugge, Alexander Hoischen, Peter A.C. ’t Hoen, Lisenka E.L.M. Vissers, Christian Gilissen, Wouter Steyaert, Karolis Sablauskas, Richarda M. de Voer, Erik-Jan Kamsteeg, Bart van de Warrenburg, Nienke van Os, Iris te Paske, Erik Janssen, Elke de Boer, Marloes Steehouwer, Burcu Yaldiz, Tjitske Kleefstra, Anthony J. Brookes, Colin Veal, Spencer Gibson, Marc Wadsley, Mehdi Mehtarizadeh, Umar Riaz, Greg Warren, Farid Yavari Dizjikan, Thomas Shorter, Ana Töpf, Volker Straub, Chiara Marini Bettolo, Sabine Specht, Jill Clayton-Smith, Elizabeth Alexander, Laurence Faivre, Christel Thauvin, Antonio Vitobello, Anne-Sophie Denommé-Pichon, Yannis Duffourd, Emilie Tisserant, Ange-Line Bruel, Christine Peyron, Aurore Pélissier, Sergi Beltran, Ivo Glynne Gut, Steven Laurie, Davide Piscia, Leslie Matalonga, Anastasios Papakonstantinou, Gemma Bullich, Alberto Corvo, Carles Garcia, Marcos Fernandez-Callejo, Carles Hernández, Daniel Picó, Ida Paramonov, Hanns Lochmüller, Gulcin Gumus, Virginie Bros-Facer, Ana Rath, Marc Hanauer, Annie Olry, David Lagorce, Svitlana Havrylenko, Katia Izem, Fanny Rigour, Giovanni Stevanin, Alexandra Durr, Claire-Sophie Davoine, Léna Guillot-Noel, Anna Heinzmann, Giulia Coarelli, Gisèle Bonne, Teresinha Evangelista, Valérie Allamand, Isabelle Nelson, Rabah Ben Yaou, Corinne Metay, Bruno Eymard, Enzo Cohen, Antonio Atalaia, Tanya Stojkovic, Milan Macek, Jr., Marek Turnovec, Dana Thomasová, Radka Pourová Kremliková, Vera Franková, Markéta Havlovicová, Vlastimil Kremlik, Helen Parkinson, Thomas Keane, Dylan Spalding, Alexander Senf, Peter Robinson, Daniel Danis, Glenn Robert, Alessia Costa, Christine Patch, Mike Hanna, Henry Houlden, Mary Reilly, Jana Vandrovcova, Francesco Muntoni, Irina Zaharieva, Anna Sarkozy, Vincent Timmerman, Jonathan Baets, Liedewei Van de Vondel, Danique Beijer, Peter de Jonghe, Vincenzo Nigro, Sandro Banfi, Annalaura Torella, Francesco Musacchia, Giulio Piluso, Alessandra Ferlini, Rita Selvatici, Rachele Rossi, Marcella Neri, Stefan Aretz, Isabel Spier, Anna Katharina Sommer, Sophia Peters, Carla Oliveira, Jose Garcia Pelaez, Ana Rita Matos, Celina São José, Marta Ferreira, Irene Gullo, Susana Fernandes, Luzia Garrido, Pedro Ferreira, Fátima Carneiro, Morris A. Swertz, Lennart Johansson, Joeri K. van der Velde, Gerben van der Vries, Pieter B. Neerincx, Dieuwke Roelofs-Prins, Sebastian Köhler, Alison Metcalfe, Alain Verloes, Séverine Drunat, Caroline Rooryck, Aurelien Trimouille, Raffaele Castello, Manuela Morleo, Michele Pinelli, Alessandra Varavallo, Manuel Posada De la Paz, Eva Bermejo Sánchez, Estrella López Martín, Beatriz Martínez Delgado, F. Javier Alonso García de la Rosa, Andrea Ciolfi, Bruno Dallapiccola, Simone Pizzi, Francesca Clementina Radio, Marco Tartaglia, Alessandra Renieri, Elisa Benetti, Peter Balicza, Maria Judit Molnar, Ales Maver, Borut Peterlin, Alexander Münchau, Katja Lohmann, Rebecca Herzog, Martje Pauly, Alfons Macaya, Anna Marcé-Grau, Andres Nascimiento Osorio, Daniel Natera de Benito, Rachel Thompson, Kiran Polavarapu, David Beeson, Judith Cossins, Pedro M. Rodriguez Cruz, Peter Hackman, Mridul Johari, Marco Savarese, Bjarne Udd, Rita Horvath, Gabriel Capella, Laura Valle, Elke Holinski-Feder, Andreas Laner, Verena Steinke-Lange, Evelin Schröck, and Andreas Rump
- Subjects
TSPEAR ,Ectodermal dysplasia ,Enamel knot ,WNT10A ,Hypodontia ,Conical teeth ,Genetics ,QH426-470 - Abstract
Summary: TSPEAR variants cause autosomal recessive ectodermal dysplasia (ARED) 14. The function of TSPEAR is unknown. The clinical features, the mutation spectrum, and the underlying mechanisms of ARED14 are poorly understood. Combining data from new and previously published individuals established that ARED14 is primarily characterized by dental anomalies such as conical tooth cusps and hypodontia, like those seen in individuals with WNT10A-related odontoonychodermal dysplasia. AlphaFold-predicted structure-based analysis showed that most of the pathogenic TSPEAR missense variants likely destabilize the β-propeller of the protein. Analysis of 100000 Genomes Project (100KGP) data revealed multiple founder TSPEAR variants across different populations. Mutational and recombination clock analyses demonstrated that non-Finnish European founder variants likely originated around the end of the last ice age, a period of major climatic transition. Analysis of gnomAD data showed that the non-Finnish European population TSPEAR gene-carrier rate is ∼1/140, making it one of the commonest AREDs. Phylogenetic and AlphaFold structural analyses showed that TSPEAR is an ortholog of drosophila Closca, an extracellular matrix-dependent signaling regulator. We, therefore, hypothesized that TSPEAR could have a role in enamel knot, a structure that coordinates patterning of developing tooth cusps. Analysis of mouse single-cell RNA sequencing (scRNA-seq) data revealed highly restricted expression of Tspear in clusters representing enamel knots. A tspeara−/−;tspearb−/− double-knockout zebrafish model recapitulated the clinical features of ARED14 and fin regeneration abnormalities of wnt10a knockout fish, thus suggesting interaction between tspear and wnt10a. In summary, we provide insights into the role of TSPEAR in ectodermal development and the evolutionary history, epidemiology, mechanisms, and consequences of its loss of function variants.
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- 2023
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183. Uterocutaneous fistula managed medically: A case report.
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Koulshan Jameel, Gul-e-rana Abdul Mannan, Durr-e-shahwar Hayat, and Rabiya Niaz
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Laparotomy, Uterocutaneous Fistula, Myomectomy, Septic Abortion, GnRH Agonists. ,Medicine - Abstract
Background: The uterocutaneous fistula is an abnormal connection or passageway between the uterus and the skin. The most common causes include infections, trauma, or surgery, a severe medical condition requiring prompt medical attention and treatment. Case Presentation: Here, we describe the case of a 36-year-old female who developed a uterocutaneous fistula after cesarean delivery. Her post-cesarean recovery was complicated by wound infection, and after healing the wound, she presented with cyclical bloody discharge from a pinpoint opening in the healed wound scar. Management: On ultrasound and MRI, she was diagnosed as having a uterocutaneous fistula. She opted for non-surgical management and underwent successful medical management with GnRH agonists. She remained symptom-free after the resumption of her menstrual cycle. Conclusion: In younger populations hoping to avoid surgery, pharmacological care with GnRH agonist therapy can be a reasonable alternative to surgical resection of the fistulous tract. Healthcare professionals should have a high index of suspicion to diagnose this condition.
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- 2023
184. A Comparison of Burnout Experienced by Family and Consumer Sciences Teachers with Other Content Teachers during COVID-19 Remote Teaching
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Durr, Tony, Graves, Nicole A., and Wilson, Alison
- Abstract
During the spring of 2020, K-12 schools were turned upside-down. The COVID-19 pandemic essentially forced all schools across the nation to close their doors and move their learning environments online. The switch to remote learning put a great deal of stress and responsibility on teachers at all levels. The content taught by family and consumer sciences (FCS) teachers presented those teachers with unique challenges that differentiated them from other content teachers in programs such as math, language arts, and social studies. With a sample of 97 teachers from Midwestern states, this study found that FCS teachers reported higher levels of depersonalization and lower feelings of personal accomplishment.
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- 2021
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185. Toward a One Health Surveillance System in Cuba: Co-Productive Stakeholder Engagement
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Valle, Damarys de las Nieves Montano, García, Oshin Ley, Hernandez, Beatriz Delgado, Abreu, Marian Irian Percedo, Pérez, Dianelys Quiñones, Silva, Laura Cunha, Carmo, Luís Pedro, Berezowski, John, Zamora, Pastor Alfonso, and Dürr, Salome
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- 2023
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186. Characterisation and natural progression of SARS-CoV-2 infection in ferrets
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Au, Gough G., Marsh, Glenn A., McAuley, Alexander J., Lowther, Suzanne, Trinidad, Lee, Edwards, Sarah, Todd, Shawn, Barr, Jennifer, Bruce, Matthew P., Poole, Timothy B., Brown, Sheree, Layton, Rachel, Riddell, Sarah, Rowe, Brenton, Soldani, Elisha, Suen, Willy W., Bergfeld, Jemma, Bingham, John, Payne, Jean, Durr, Peter A., Drew, Trevor W., and Vasan, Seshadri S.
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- 2022
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187. Forecasting individual progression trajectories in Huntington disease enables more powered clinical trials
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Koval, Igor, Dighiero-Brecht, Thomas, Tobin, Allan J., Tabrizi, Sarah J., Scahill, Rachael I., Tezenas du Montcel, Sophie, Durrleman, Stanley, and Durr, Alexandra
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- 2022
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188. Profiling of hMPV F-specific antibodies isolated from human memory B cells
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Xiao, Xiao, Fridman, Arthur, Zhang, Lu, Pristatsky, Pavlo, Durr, Eberhard, Minnier, Michael, Tang, Aimin, Cox, Kara S., Wen, Zhiyun, Moore, Renee, Tian, Dongrui, Galli, Jennifer D., Cosmi, Scott, Eddins, Michael J., Sullivan, Nicole L., Yan, Xiaodong, Bett, Andrew J., Su, Hua-Poo, Vora, Kalpit A., Chen, Zhifeng, and Zhang, Lan
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- 2022
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189. Prediction of the disease course in Friedreich ataxia
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Hohenfeld, Christian, Terstiege, Ulrich, Dogan, Imis, Giunti, Paola, Parkinson, Michael H., Mariotti, Caterina, Nanetti, Lorenzo, Fichera, Mario, Durr, Alexandra, Ewenczyk, Claire, Boesch, Sylvia, Nachbauer, Wolfgang, Klopstock, Thomas, Stendel, Claudia, Rodríguez de Rivera Garrido, Francisco Javier, Schöls, Ludger, Hayer, Stefanie N., Klockgether, Thomas, Giordano, Ilaria, Didszun, Claire, Rai, Myriam, Pandolfo, Massimo, Rauhut, Holger, Schulz, Jörg B., and Reetz, Kathrin
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- 2022
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190. Predicting subjective refraction with dynamic retinal image quality analysis
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Gil, Andrea, Hernández, Carlos S., Nam, Ahhyun Stephanie, Varadaraj, Varshini, Durr, Nicholas J., Lim, Daryl, Dave, Shivang R., and Lage, Eduardo
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- 2022
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191. An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15
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Vander Stichele, Geert, Durr, Alexandra, Yoon, Grace, Schüle, Rebecca, Blackstone, Craig, Esposito, Giovanni, Buffel, Connor, Oliveira, Inês, Freitag, Christian, van Rooijen, Stephane, Hoffmann, Stéphanie, Thielemans, Leen, and Cowling, Belinda S.
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- 2022
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192. Shared phytochemicals predict efficacy of essential oils against western flower thrips (Frankliniella occidentalis) in the greenhouse
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Durr, Tiffany D., Stratton, Chase A., Dosoky, Noura S., Satyal, Prabodh, and Murrell, Ebony G.
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- 2022
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193. ‘The brighter the worse’: Lead content of commercially available solvent-based paints intended for residential use in Pakistan [version 1; peer review: 2 approved with reservations]
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Durr-e-Amna Siddiqui, Lucia Coulter, Charlie Loudon, and Zafar Fatmi
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Brief Report ,Articles ,lead exposure ,lead paint ,heavy metal pollution ,lead poisoning ,residential paint ,Pakistan - Abstract
Background: Environmental pollution and exposure to lead (Pb) through household paint continue to be a great concern, especially for low- and middle-income countries (LMICs). Methods: We measured the Pb levels of solvent-based paints commercially available in Karachi, Pakistan. We visited major markets and collected commonly available brands of paint, sampling the yellow, red, and white colors of each. The paint samples’ Pb content was measured using inductively coupled argon plasma atomic emission spectrometry (ICP-AES). Results: Of the 60 analyzed paint samples, 24 (40%) contained Pb levels of >100 ppm (beyond the legal limit in Pakistan), with a maximum of 97,000 ppm (dry weight). Sixteen (76.2%) of the 21 yellow paints (range: 5,100–97,000 ppm, IQR: 36,900 ppm), seven (37.0%) of the 19 red paints (range: 220–1,800 ppm, IQR: 255 ppm), and one (5%) of the 20 white paints (870 ppm) contained Pb levels of >100 ppm. Of the 60 paints, 45 were produced by domestic Pakistani companies (51% exceeding the limit) and 15 by multinational companies (7% exceeding the limit). Conclusions: Although Pakistani regulations have restricted Pb content in paints to
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- 2023
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194. Characterisation and natural progression of SARS-CoV-2 infection in ferrets
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Gough G. Au, Glenn A. Marsh, Alexander J. McAuley, Suzanne Lowther, Lee Trinidad, Sarah Edwards, Shawn Todd, Jennifer Barr, Matthew P. Bruce, Timothy B. Poole, Sheree Brown, Rachel Layton, Sarah Riddell, Brenton Rowe, Elisha Soldani, Willy W. Suen, Jemma Bergfeld, John Bingham, Jean Payne, Peter A. Durr, Trevor W. Drew, and Seshadri S. Vasan
- Subjects
Medicine ,Science - Abstract
Abstract Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the infectious disease COVID-19, which has rapidly become an international pandemic with significant impact on healthcare systems and the global economy. To assist antiviral therapy and vaccine development efforts, we performed a natural history/time course study of SARS-CoV-2 infection in ferrets to characterise and assess the suitability of this animal model. Ten ferrets of each sex were challenged intranasally with 4.64 × 104 TCID50 of SARS-CoV-2 isolate Australia/VIC01/2020 and monitored for clinical disease signs, viral shedding, and tissues collected post-mortem for histopathological and virological assessment at set intervals. We found that SARS-CoV-2 replicated in the upper respiratory tract of ferrets with consistent viral shedding in nasal wash samples and oral swab samples up until day 9. Infectious SARS-CoV-2 was recovered from nasal washes, oral swabs, nasal turbinates, pharynx, and olfactory bulb samples within 3–7 days post-challenge; however, only viral RNA was detected by qRT-PCR in samples collected from the trachea, lung, and parts of the gastrointestinal tract. Viral antigen was seen exclusively in nasal epithelium and associated sloughed cells and draining lymph nodes upon immunohistochemical staining. Due to the absence of clinical signs after viral challenge, our ferret model is appropriate for studying asymptomatic SARS-CoV-2 infections and most suitable for use in vaccine efficacy studies.
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- 2022
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195. Predicting subjective refraction with dynamic retinal image quality analysis
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Andrea Gil, Carlos S. Hernández, Ahhyun Stephanie Nam, Varshini Varadaraj, Nicholas J. Durr, Daryl Lim, Shivang R. Dave, and Eduardo Lage
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Medicine ,Science - Abstract
Abstract The aim of this work is to evaluate the performance of a novel algorithm that combines dynamic wavefront aberrometry data and descriptors of the retinal image quality from objective autorefractor measurements to predict subjective refraction. We conducted a retrospective study of the prediction accuracy and precision of the novel algorithm compared to standard search-based retinal image quality optimization algorithms. Dynamic measurements from 34 adult patients were taken with a handheld wavefront autorefractor and static data was obtained with a high-end desktop wavefront aberrometer. The search-based algorithms did not significantly improve the results of the desktop system, while the dynamic approach was able to simultaneously reduce the standard deviation (up to a 15% for reduction of spherical equivalent power) and the mean bias error of the predictions (up to 80% reduction of spherical equivalent power) for the handheld aberrometer. These results suggest that dynamic retinal image analysis can substantially improve the accuracy and precision of the portable wavefront autorefractor relative to subjective refraction.
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- 2022
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196. An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15
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Geert Vander Stichele, Alexandra Durr, Grace Yoon, Rebecca Schüle, Craig Blackstone, Giovanni Esposito, Connor Buffel, Inês Oliveira, Christian Freitag, Stephane van Rooijen, Stéphanie Hoffmann, Leen Thielemans, and Belinda S. Cowling
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Hereditary spastic paraplegia ,Epidemiology ,Epidemiological model ,Prevalence ,Incidence ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background Hereditary spastic paraplegias (HSPs) are progressively debilitating neurodegenerative disorders that follow heterogenous patterns of Mendelian inheritance. Available epidemiological evidence provides limited incidence and prevalence data, especially at the genetic subtype level, preventing a realistic estimation of the true social burden of the disease. The objectives of this study were to (1) review the literature on epidemiology of HSPs; and (2) develop an epidemiological model of the prevalence of HSP, focusing on four common HSP genetic subtypes at the country and region-level. Methods A model was constructed estimating the incidence at birth, survival, and prevalence of four genetic subtypes of HSP based on the most appropriate published literature. The key model parameters were assessed by HSP clinical experts, who provided feedback on the validity of assumptions. A model was then finalized and validated through comparison of outputs against available evidence. The global, regional, and national prevalence and patient pool were calculated per geographic region and per genetic subtype. Results The HSP global prevalence was estimated to be 3.6 per 100,000 for all HSP forms, whilst the estimated global prevalence per genetic subtype was 0.90 (SPG4), 0.22 (SPG7), 0.34 (SPG11), and 0.13 (SPG15), respectively. This equates to an estimated 3365 (SPG4) and 872 (SPG11) symptomatic patients, respectively, in the USA. Conclusions This is the first epidemiological model of HSP prevalence at the genetic subtype-level reported at multiple geographic levels. This study offers additional data to better capture the burden of illness due to mutations in common genes causing HSP, that can inform public health policy and healthcare service planning, especially in regions with higher estimated prevalence of HSP.
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- 2022
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197. Safety and efficacy of riluzole in spinocerebellar ataxia type 2 in France (ATRIL): a multicentre, randomised, double-blind, placebo-controlled trial
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Coarelli, Giulia, Heinzmann, Anna, Ewenczyk, Claire, Fischer, Clara, Chupin, Marie, Monin, Marie-Lorraine, Hurmic, Hortense, Calvas, Fabienne, Calvas, Patrick, Goizet, Cyril, Thobois, Stéphane, Anheim, Mathieu, Nguyen, Karine, Devos, David, Verny, Christophe, Ricigliano, Vito A G, Mangin, Jean-François, Brice, Alexis, Tezenas du Montcel, Sophie, and Durr, Alexandra
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- 2022
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198. Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
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Mahmood, Faisal, Chen, Richard, and Durr, Nicholas J.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
To realize the full potential of deep learning for medical imaging, large annotated datasets are required for training. Such datasets are difficult to acquire because labeled medical images are not usually available due to privacy issues, lack of experts available for annotation, underrepresentation of rare conditions and poor standardization. Lack of annotated data has been addressed in conventional vision applications using synthetic images refined via unsupervised adversarial training to look like real images. However, this approach is difficult to extend to general medical imaging because of the complex and diverse set of features found in real human tissues. We propose an alternative framework that uses a reverse flow, where adversarial training is used to make real medical images more like synthetic images, and hypothesize that clinically-relevant features can be preserved via self-regularization. These domain-adapted images can then be accurately interpreted by networks trained on large datasets of synthetic medical images. We test this approach for the notoriously difficult task of depth-estimation from endoscopy. We train a depth estimator on a large dataset of synthetic images generated using an accurate forward model of an endoscope and an anatomically-realistic colon. This network predicts significantly better depths when using synthetic-like domain-adapted images compared to the real images, confirming that the clinically-relevant features of depth are preserved., Comment: 10 pages, 8 figure
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- 2017
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199. Hierarchical On-Surface Synthesis of Deterministic Graphene Nanoribbon Heterojunctions
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Bronner, Christopher, Durr, Rebecca A., Rizzo, Daniel J., Lee, Yea-Lee, Marangoni, Tomas, Kalayjian, Alin Miksi, Rodriguez, Henry, Zhao, William, Louie, Steven G., Fischer, Felix R., and Crommie, Michael F.
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Condensed Matter - Materials Science - Abstract
Bottom-up graphene nanoribbon (GNR) heterojunctions are nanoscale strips of graphene whose electronic structure abruptly changes across a covalently bonded interface. Their rational design offers opportunities for profound technological advancements enabled by their extraordinary structural and electronic properties. Thus far the most critical aspect of their synthesis, the control over sequence and position of heterojunctions along the length of a ribbon, has been plagued by randomness in monomer sequences emerging from step-growth copolymerization of distinct monomers. All bottom-up GNR heterojunction structures created so far have exhibited random sequences of heterojunctions and, while useful for fundamental scientific studies, are difficult to incorporate into functional nanodevices as a result. Here we describe a new hierarchical fabrication strategy that allows deterministic growth of bottom-up GNRs that preferentially exhibit a single heterojunction interface rather than a random statistical sequence of junctions along the ribbon. Such heterojunctions provide a viable new platform that could be directly used in functional GNR-based device applications at the molecular scale. Our hierarchical GNR fabrication strategy is based on differences in the dissociation energies of C-Br and C-I bonds that allow control over the growth sequence of the block-copolymers from which GNRs are formed, and consequently yields a significantly higher proportion of single-junction GNR heterostructures. Scanning tunnelling spectroscopy and density functional theory calculations confirm that hierarchically-grown heterojunctions between chevron GNR (cGNR) and binaphthyl-cGNR segments exhibit straddling Type I band alignment in structures that are only one atomic layer thick and 3 nm in width., Comment: Contains main manuscript (p. 1-16) and supplementary information (p. 17-50)
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- 2017
200. Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy
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Mahmood, Faisal and Durr, Nicholas J.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading cause in the United States. The risk of colorectal cancer can be mitigated by the identification and removal of premalignant lesions through optical colonoscopy. Unfortunately, conventional colonoscopy misses more than 20% of the polyps that should be removed, due in part to poor contrast of lesion topography. Imaging tissue topography during a colonoscopy is difficult because of the size constraints of the endoscope and the deforming mucosa. Most existing methods make geometric assumptions or incorporate a priori information, which limits accuracy and sensitivity. In this paper, we present a method that avoids these restrictions, using a joint deep convolutional neural network-conditional random field (CNN-CRF) framework. Estimated depth is used to reconstruct the topography of the surface of the colon from a single image. We train the unary and pairwise potential functions of a CRF in a CNN on synthetic data, generated by developing an endoscope camera model and rendering over 100,000 images of an anatomically-realistic colon. We validate our approach with real endoscopy images from a porcine colon, transferred to a synthetic-like domain, with ground truth from registered computed tomography measurements. The CNN-CRF approach estimates depths with a relative error of 0.152 for synthetic endoscopy images and 0.242 for real endoscopy images. We show that the estimated depth maps can be used for reconstructing the topography of the mucosa from conventional colonoscopy images. This approach can easily be integrated into existing endoscopy systems and provides a foundation for improving computer-aided detection algorithms for detection, segmentation and classification of lesions., Comment: 10 pages, 10 figures
- Published
- 2017
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