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291 results on '"Nielsen AH"'

1. Dynamics of L–H transition and I-phase in EAST

Author: Xu, GS, Wang, HQ, Xu, M, Wan, BN, Guo, HY, Diamond, PH, Tynan, GR, Chen, R, Yan, N, Kong, DF, Zhao, HL, Liu, AD, Lan, T, Naulin, V, Nielsen, AH, Rasmussen, J Juul, Miki, K, Manz, P, Zhang, W, Wang, L, Shao, LM, Liu, SC, Chen, L, Ding, SY, Zhao, N, Li, YL, Liu, YL, Hu, GH, Wu, XQ, and Gong, XZ
Subjects: L-H transition, I-phase, reciprocating probe, zonal flows, Reynolds stress, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Fluids & Plasmas
Abstract: The turbulence and flows at the plasma edge during the L-I-H, L-I-L and single-step L-H transitions have been measured directly using two reciprocating Langmuir probe systems at the outer midplane with several newly designed probe arrays in the EAST superconducting tokamak. The E× B velocity, turbulence level and turbulent Reynolds stress at ∼1cm inside the separatrix ramp-up in the last ∼20ms preceding the single-step L-H transition, but remain nearly constant near the separatrix, indicating an increase in the radial gradients at the plasma edge. The kinetic energy transfer rate from the edge turbulence to the E×B flows is significantly enhanced only in the last ∼10ms and peaks just prior to the L-H transition. The E×B velocity measured inside the separatrix, which is typically in the electron diamagnetic drift direction in the L-mode, decays towards the ion diamagnetic drift direction in response to fluctuation suppression at the onset of the single-step L-H, L-I-L as well as L-I-H transitions. One important distinction between the L-I-H and the L-I-L transitions has been observed, with respect to the evolution of the edge pressure gradient and mean E×B flow during the I-phase. Both of them ramp up gradually during the L-I-H transition, but change little during the L-I-L transition, which may indicate that a gradual buildup of the edge pedestal and mean E×B flow during the I-phase leads to the final transition into the H-mode. In addition, the transition data in EAST strongly suggest that the divertor pumping capability is an important ingredient in determining the transition behaviour and power threshold.
Published: 2014

2. Study of the L–I–H transition with a new dual gas puff imaging system in the EAST superconducting tokamak

Author: Xu, GS, Shao, LM, Liu, SC, Wang, HQ, Wan, BN, Guo, HY, Diamond, PH, Tynan, GR, Xu, M, Zweben, SJ, Naulin, V, Nielsen, AH, Rasmussen, J Juul, Fedorczak, N, Manz, P, Miki, K, Yan, N, Chen, R, Cao, B, Chen, L, Wang, L, Zhang, W, and Gong, XZ
Subjects: L-H transition, gas puff imaging, tokamak, zonal flow, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Fluids & Plasmas
Abstract: The intermediate oscillatory phase during the L-H transition, termed the I-phase, is studied in the EAST superconducting tokamak using a newly developed dual gas puff imaging (GPI) system near the L-H transition power threshold. The experimental observations suggest that the oscillatory behaviour appearing at the L-H transition could be induced by the synergistic effect of the two components of the sheared m, n = 0 E × B flow, i.e. the turbulence-driven zonal flow (ZF) and the equilibrium flow. The latter arises from the equilibrium, and is, to leading order, balanced by the ion diamagnetic term in the radial force balance equation. A slow increase in the poloidal flow and its shear at the plasma edge are observed tens of milliseconds prior to the I-phase. During the I-phase, the turbulence recovery appears to originate from the vicinity of the separatrix with clear wave fronts propagating both outwards into the far scrape-off layer (SOL) and inwards into the core plasma. The turbulence Reynolds stress is directly measured using the GPI system during the I-phase, providing direct evidence of kinetic energy transfer from turbulence to ZFs at the plasma edge. The GPI observations strongly suggest that the SOL transport physics and the evolution of pressure gradient near the separatrix play an important role in the L-I-H transition dynamics. To highlight these new physics, the previous predator-prey model is extended to include a new equation for the SOL physics. The model successfully reproduces the L-I-H transition process with several features comparing favourably with GPI observations. © 2014 IAEA, Vienna.
Published: 2014

3. Overview of physics results from MAST towards ITER/DEMO and the MAST Upgrade

Author: Meyer, H, Abel, IG, Akers, RJ, Allan, A, Allan, SY, Appel, LC, Asunta, O, Barnes, M, Barratt, NC, Ayed, N Ben, Bradley, JW, Canik, J, Cahyna, P, Cecconello, M, Challis, CD, Chapman, IT, Ciric, D, Colyer, G, Conway, NJ, Cox, M, Crowley, BJ, Cowley, SC, Cunningham, G, Danilov, A, Darke, A, De Bock, MFM, De Temmerman, G, Dendy, RO, Denner, P, Dickinson, D, Dnestrovsky, AY, Dnestrovsky, Y, Driscoll, MD, Dudson, B, Dunai, D, Dunstan, M, Dura, P, Elmore, S, Field, AR, Fishpool, G, Freethy, S, Fundamenski, W, Garzotti, L, Ghim, YC, Gibson, KJ, Gryaznevich, MP, Harrison, J, Havlíčková, E, Hawkes, NC, Heidbrink, WW, Hender, TC, Highcock, E, Higgins, D, Hill, P, Hnat, B, Hole, MJ, Horáček, J, Howell, DF, Imada, K, Jones, O, Kaveeva, E, Keeling, D, Kirk, A, Kočan, M, Lake, RJ, Lehnen, M, Leggate, HJ, Liang, Y, Lilley, MK, Lisgo, SW, Liu, YQ, Lloyd, B, Maddison, GP, Mailloux, J, Martin, R, McArdle, GJ, McClements, KG, McMillan, B, Michael, C, Militello, F, Molchanov, P, Mordijck, S, Morgan, T, Morris, AW, Muir, DG, Nardon, E, Naulin, V, Naylor, G, Nielsen, AH, O'Brien, MR, O'Gorman, T, Pamela, S, Parra, FI, Patel, A, Pinches, SD, Price, MN, Roach, CM, Robinson, JR, Romanelli, M, and Rozhansky, V
Subjects: Atomic, Molecular, Nuclear, Particle and Plasma Physics, Fluids & Plasmas
Abstract: New diagnostic, modelling and plant capability on the Mega Ampère Spherical Tokamak (MAST) have delivered important results in key areas for ITER/DEMO and the upcoming MAST Upgrade, a step towards future ST devices on the path to fusion currently under procurement. Micro-stability analysis of the pedestal highlights the potential roles of micro-tearing modes and kinetic ballooning modes for the pedestal formation. Mitigation of edge localized modes (ELM) using resonant magnetic perturbation has been demonstrated for toroidal mode numbers n = 3, 4, 6 with an ELM frequency increase by up to a factor of 9, compatible with pellet fuelling. The peak heat flux of mitigated and natural ELMs follows the same linear trend with ELM energy loss and the first ELM-resolved Ti measurements in the divertor region are shown. Measurements of flow shear and turbulence dynamics during L-H transitions show filaments erupting from the plasma edge whilst the full flow shear is still present. Off-axis neutral beam injection helps to strongly reduce the redistribution of fast-ions due to fishbone modes when compared to on-axis injection. Low-k ion-scale turbulence has been measured in L-mode and compared to global gyro-kinetic simulations. A statistical analysis of principal turbulence time scales shows them to be of comparable magnitude and reasonably correlated with turbulence decorrelation time. Te inside the island of a neoclassical tearing mode allow the analysis of the island evolution without assuming specific models for the heat flux. Other results include the discrepancy of the current profile evolution during the current ramp-up with solutions of the poloidal field diffusion equation, studies of the anomalous Doppler resonance compressional Alfvén eigenmodes, disruption mitigation studies and modelling of the new divertor design for MAST Upgrade. The novel 3D electron Bernstein synthetic imaging shows promising first data sensitive to the edge current profile and flows. © 2013 IAEA, Vienna.
Published: 2013

4. Overview of JET results for optimising ITER operation

Author: Mailloux, J, Abid, N, Abraham, K, Abreu, P, Adabonyan, O, Adrich, P, Afanasev, V, Afzal, M, Ahlgren, T, Aho-Mantila, L, Aiba, N, Airila, M, Akhtar, M, Albanese, R, Alderson-Martin, M, Alegre, D, Aleiferis, S, Aleksa, A, Alekseev, A, Alessi, E, Aleynikov, P, Algualcil, J, Ali, M, Allinson, M, Alper, B, Alves, E, Ambrosino, G, Ambrosino, R, Amosov, V, Sunden, E, Andrew, P, Angelini, B, Angioni, C, Antoniou, I, Appel, L, Appelbee, C, Aria, S, Ariola, M, Artaserse, G, Arter, W, Artigues, V, Asakura, N, Ash, A, Ashikawa, N, Aslanyan, V, Astrain, M, Asztalos, O, Auld, D, Auriemma, F, Austin, Y, Avotina, L, Aymerich, E, Baciero, A, Bairaktaris, F, Balbin, J, Balbinot, L, Balboa, I, Balden, M, Balshaw, C, Balshaw, N, Bandaru, V, Banks, J, Baranov, Y, Barcellona, C, Barnard, A, Barnard, M, Barnsley, R, Barth, A, Baruzzo, M, Barwell, S, Bassan, M, Batista, A, Batistoni, P, Baumane, L, Bauvir, B, Baylor, L, Beaumont, P, Beckett, D, Begolli, A, Beidler, M, Bekris, N, Beldishevski, M, Belli, E, Belli, F, Belonohy, E, Ben Yaala, M, Benayas, J, Bentley, J, Bergsaker, H, Bernardo, J, Bernert, M, Berry, M, Bertalot, L, Betar, H, Beurskens, M, Bickerton, S, Bieg, B, Bielecki, J, Bierwage, A, Biewer, T, Bilato, R, Bilkova, P, Birkenmeier, G, Bishop, H, Bizarro, J, Blackburn, J, Blanchard, P, Blatchford, P, Bobkov, V, Boboc, A, Bohm, P, Bohm, T, Bolshakova, I, Bolzonella, T, Bonanomi, N, Bonfiglio, D, Bonnin, X, Bonofiglo, P, Boocock, S, Booth, A, Booth, J, Borba, D, Borodin, D, Borodkina, I, Boulbe, C, Bourdelle, C, Bowden, M, Boyd, K, Mihalic, I, Bradnam, S, Braic, V, Brandt, L, Bravanec, R, Breizman, B, Brett, A, Brezinsek, S, Brix, M, Bromley, K, Brown, B, Brunetti, D, Buckingham, R, Buckley, M, Budny, R, Buermans, J, Bufferand, H, Buratti, P, Burgess, A, Buscarino, A, Busse, A, Butcher, D, de la Cal, E, Calabro, G, Calacci, L, Calado, R, Camenen, Y, Canal, G, Cannas, B, Cappelli, M, Carcangiu, S, Card, P, Cardinali, A, Carman, P, Carnevale, D, Carr, M, Carralero, D, Carraro, L, Carvalho, I, Carvalho, P, Casiraghi, I, Casson, F, Castaldo, C, Catalan, J, Catarino, N, Causa, F, Cavedon, M, Cecconello, M, Challis, C, Chamberlain, B, Chang, C, Chankin, A, Chapman, B, Chernyshova, M, Chiariello, A, Chmielewski, P, Chomiczewska, A, Chone, L, Ciraolo, G, Ciric, D, Clark, M, Clarkson, R, Clements, C, Cleverly, M, Coad, J, Coates, P, Cobalt, A, Coccorese, V, Coelho, R, Coenen, J, Coffey, I, Colangeli, A, Colas, L, Collins, C, Collins, J, Collins, S, Conka, D, Conroy, S, Conway, B, Conway, N, Coombs, D, Cooper, P, Cooper, S, Corradino, C, Corrigan, G, Coster, D, Cox, P, Craciunescu, T, Cramp, S, Crapper, C, Craven, D, Craven, R, Esposito, M, Croci, G, Croft, D, Croitoru, A, Crombe, K, Cronin, T, Cruz, N, Crystal, C, Cseh, G, Cufar, A, Cullen, A, Curuia, M, Czarski, T, Dabirikhah, H, Dal Molin, A, Dale, E, Dalgliesh, P, Dalley, S, Dankowski, J, David, P, Davies, A, Davies, S, Davis, G, Dawson, K, Dawson, S, Day, I, De Bock, M, De Temmerman, G, De Tommasi, G, Deakin, K, Deane, J, Dejarnac, R, Del Sarto, D, Delabie, E, Del-Castillo-Negrete, D, Dempsey, A, Dendy, R, Devynck, P, Di Siena, A, Di Troia, C, Dickson, T, Dinca, P, Dittmar, T, Dobrashian, J, Doerner, R, Donne, A, Dorling, S, Dormido-Canto, S, Douai, D, Dowson, S, Doyle, R, Dreval, M, Drewelow, P, Drews, P, Drummond, G, Duckworth, P, Dudding, H, Dumont, R, Dumortier, P, Dunai, D, Dunatov, T, Dunne, M, Durodie, F, Dux, R, Dvornova, A, Eastham, R, Edwards, J, Eich, T, Eichorn, A, Eidietis, N, Eksaeva, A, El Haroun, H, Ellwood, G, Elsmore, C, Embreus, O, Emery, S, Ericsson, G, Eriksson, B, Eriksson, F, Eriksson, J, Eriksson, L, Ertmer, S, Esquembri, S, Esquisabel, A, Estrada, T, Evans, G, Evans, S, Fable, E, Fagan, D, Faitsch, M, Falessi, M, Fanni, A, Farahani, A, Farquhar, I, Fasoli, A, Faugeras, B, Fazinic, S, Felici, F, Felton, R, Fernandes, A, Fernandes, H, Ferrand, J, Ferreira, D, Ferreira, J, Ferro, G, Fessey, J, Ficker, O, Field, A, Figueiredo, A, Figueiredo, J, Fil, A, Fil, N, Finburg, P, Fiorucci, D, Fischer, U, Fishpool, G, Fittill, L, Fitzgerald, M, Flammini, D, Flanagan, J, Flinders, K, Foley, S, Fonnesu, N, Fontana, M, Fontdecaba, J, Forbes, S, Formisano, A, Fornal, T, Fortuna, L, Fortuna-Zalesna, E, Fortune, M, Fowler, C, Fransson, E, Frassinetti, L, Freisinger, M, Fresa, R, Fridstrom, R, Frigione, D, Fulop, T, Furseman, M, Fusco, V, Futatani, S, Gadariya, D, Gal, K, Galassi, D, Galazka, K, Galeani, S, Gallart, D, Galvao, R, Gao, Y, Garcia, J, Garcia-Munoz, M, Gardener, M, Garzotti, L, Gaspar, J, Gatto, R, Gaudio, P, Gear, D, Gebhart, T, Gee, S, Gelfusa, M, George, R, Gerasimov, S, Gervasini, G, Gethins, M, Ghani, Z, Gherendi, M, Ghezzi, F, Giacalone, J, Giacomelli, L, Giacometti, G, Gibson, C, Gibson, K, Gil, L, Gillgren, A, Gin, D, Giovannozzi, E, Giroud, C, Glen, R, Gloggler, S, Goff, J, Gohil, P, Goloborodko, V, Gomes, R, Goncalves, B, Goniche, M, Goodyear, A, Gore, S, Gorini, G, Gorler, T, Gotts, N, Goulding, R, Gow, E, Graham, B, Graves, J, Greuner, H, Grierson, B, Griffiths, J, Griph, S, Grist, D, Gromelski, W, Groth, M, Grove, R, Gruca, M, Guard, D, Gupta, N, Gurl, C, Gusarov, A, Hackett, L, Hacquin, S, Hager, R, Hagg, L, Hakola, A, Halitovs, M, Hall, S, Hallworth-Cook, S, Ham, C, Hamaguchi, D, Hamed, M, Hamlyn-Harris, C, Hammond, K, Harford, E, Harrison, J, Harting, D, Hatano, Y, Hatch, D, Haupt, T, Hawes, J, Hawkes, N, Hawkins, J, Hayashi, T, Hazael, S, Hazel, S, Heesterman, P, Heidbrink, B, Helou, W, Hemming, O, Henderson, S, Henriques, R, Hepple, D, Herfindal, J, Hermon, G, Hill, J, Hillesheim, J, Hizanidis, K, Hjalmarsson, A, Ho, A, Hobirk, J, Hoenen, O, Hogben, C, Hollingsworth, A, Hollis, S, Hollmann, E, Holzl, M, Homan, B, Hook, M, Hopley, D, Horsley, D, Horsten, N, Horton, A, Horton, L, Horvath, L, Hotchin, S, Howell, R, Hu, Z, Huber, A, Huber, V, Huddleston, T, Huijsmans, G, Huynh, P, Hynes, A, Iliasova, M, Imrie, D, Imrisek, M, Ingleby, J, Innocente, P, Bjork, K, Isernia, N, Ivanova-Stanik, I, Ivings, E, Jablonski, S, Jachmich, S, Jackson, T, Jacquet, P, Jarleblad, H, Jaulmes, F, Rodriguez, J, Jepu, I, Joffrin, E, Johnson, R, Johnson, T, Johnston, J, Jones, C, Jones, G, Jones, L, Jones, N, Jones, T, Joyce, A, Juarez, R, Juvonen, M, Kaltiaisenaho, T, Kaniewski, J, Kantor, A, Kappatou, A, Karhunen, J, Karkinsky, D, Kashchuk, Y, Kaufman, M, Kaveney, G, Kazakov, Y, Kazantzidis, V, Keeling, D, Kelly, R, Kempenaars, M, Kennedy, C, Kennedy, D, Kent, J, Khan, K, Khilkevich, E, Kiefer, C, Kilpelainen, J, Kim, C, Kim, H, Kim, S, King, D, King, R, Kinna, D, Kiptily, V, Kirjasuo, A, Kirov, K, Kirschner, A, Kiviniemi, T, Kizane, G, Klas, M, Klepper, C, Klix, A, Kneale, G, Knight, M, Knight, P, Knights, R, Knipe, S, Knolker, M, Knott, S, Kocan, M, Kochl, F, Kodeli, I, Kolesnichenko, Y, Kominis, Y, Kong, M, Korovin, V, Kos, B, Kos, D, Koslowski, H, Kotschenreuther, M, Koubiti, M, Koziol, K, Krasilnikov, A, Krasilnikov, V, Kresina, M, Krieger, K, Krishnan, N, Krivska, A, Kruezi, U, Kukushkin, A, Kumpulainen, H, Kurki-Suonio, T, Kurotaki, H, Kwak, S, Kwon, O, Laguardia, L, Lagzdina, E, Lahtinen, A, Laing, A, Lam, N, Lambertz, H, Lane, B, Lane, C, Neto, E, Lawson, K, Lazaros, A, Lazzaro, E, Learoyd, G, Lee, C, Lee, S, Leerink, S, Leeson, T, Lefebvre, X, Leggate, H, Lehmann, J, Lehnen, M, Leichtle, D, Leipold, F, Lengar, I, Lennholm, M, Gutierrez, E, Lepiavko, B, Leppanen, J, Lerche, E, Lescinskis, A, Lewis, J, Leysen, W, Li, L, Li, Y, Likonen, J, Linsmeier, C, Lipschultz, B, Litaudon, X, Litherland-Smith, E, Liu, F, Loarer, T, Loarte, A, Lobel, R, Lomanowski, B, Lomas, P, Lopez, J, Lorenzini, R, Loreti, S, Losada, U, Loschiavo, V, Loughlin, M, Louka, Z, Lovell, J, Lowe, T, Lowry, C, Lubbad, S, Luce, T, Lucock, R, Lukin, A, Luna, C, de la Luna, E, Lungaroni, M, Lungu, C, Lunt, T, Lutsenko, V, Lyons, B, Lyssoivan, A, Machielsen, M, Macusova, E, Maenpaa, R, Maggi, C, Maggiora, R, Magness, M, Mahesan, S, Maier, H, Maingi, R, Malinowski, K, Manas, P, Mantica, P, Mantsinen, M, Manyer, J, Manzanares, A, Maquet, P, Marceca, G, Marcenko, N, Marchetto, C, Marchuk, O, Mariani, A, Mariano, G, Marin, M, Marinelli, M, Markovic, T, Marocco, D, Marot, L, Marsden, S, Marsh, J, Marshall, R, Martellucci, L, Martin, A, Martone, R, Maruyama, S, Maslov, M, Masuzaki, S, Matejcik, S, Mattei, M, Matthews, G, Matveev, D, Matveeva, E, Mauriya, A, Maviglia, F, Mayer, M, Mayoral, M, Mazzi, S, Mazzotta, C, Mcadams, R, Mccarthy, P, Mcclements, K, Mcclenaghan, J, Mccullen, P, Mcdonald, D, Mcguckin, D, Mchugh, D, Mcintyre, G, Mckean, R, Mckehon, J, Mcmillan, B, Mcnamee, L, Mcshee, A, Meakins, A, Medley, S, Meekes, C, Meghani, K, Meigs, A, Meisl, G, Meitner, S, Menmuir, S, Mergia, K, Merriman, S, Mertens, P, Meshchaninov, S, Messiaen, A, Michling, R, Middleton, P, Middleton-Gear, D, Mietelski, J, Milanesio, D, Milani, E, Militello, F, Asp, A, Milnes, J, Milocco, A, Miloshevsky, G, Minghao, C, Minucci, S, Miron, I, Miyamoto, M, Mlynar, J, Moiseenko, V, Monaghan, P, Monakhov, I, Moody, T, Moon, S, Mooney, R, Moradi, S, Morales, J, Morales, R, Mordijck, S, Moreira, L, Morgan, L, Moro, F, Morris, J, Morrison, K, Msero, L, Moulton, D, Mrowetz, T, Mundy, T, Muraglia, M, Murari, A, Muraro, A, Muthusonai, N, Na, Y, Nabais, F, Naden, M, Naish, J, Naish, R, Napoli, F, Nardon, E, Naulin, V, Nave, M, Nedzelskiy, I, Nemtsev, G, Nesenevich, V, Nestoras, I, Neu, R, Neverov, V, Ng, S, Nicassio, M, Nielsen, A, Nina, D, Nishijima, D, Noble, C, Nobs, C, Nocente, M, Nodwell, D, Nordlund, K, Nordman, H, Normanton, R, Noterdaeme, J, Nowak, S, Nunn, E, Nystrom, H, Oberparleiter, M, Obryk, B, O'Callaghan, J, Odupitan, T, Oliver, H, Olney, R, O'Mullane, M, Ongena, J, Organ, E, Orsitto, F, Orszagh, J, Osborne, T, Otin, R, Otsuka, T, Owen, A, Oya, Y, Oyaizu, M, Paccagnella, R, Pace, N, Packer, L, Paige, S, Pajuste, E, Palade, D, Pamela, S, Panadero, N, Panontin, E, Papadopoulos, A, Papp, G, Papp, P, Parail, V, Pardanaud, C, Parisi, J, Diaz, F, Parsloe, A, Parsons, M, Parsons, N, Passeri, M, Patel, A, Pau, A, Pautasso, G, Pavlichenko, R, Pavone, A, Pawelec, E, Soldan, C, Peacock, A, Pearce, M, Peluso, E, Penot, C, Pepperell, K, Pereira, R, Pereira, T, Cippo, E, Pereslavtsev, P, von Thun, C, Pericoli, V, Perry, D, Peterka, M, Petersson, P, Petravich, G, Petrella, N, Peyman, M, Pillon, M, Pinches, S, Pintsuk, G, de Sa, W, dos Reis, A, Piron, C, Pionr, L, Pironti, A, Pitts, R, van de Plassche, K, Platt, N, Plyusnin, V, Podesta, M, Pokol, G, Poli, F, Pompilian, O, Popovichev, S, Poradzinski, M, Porfiri, M, Porkolab, M, Porosnicu, C, Porton, M, Poulipoulis, G, Predebon, I, Prestopino, G, Price, C, Price, D, Price, M, Primetzhofer, D, Prior, P, Provatas, G, Pucella, G, Puglia, P, Purahoo, K, Pusztai, I, Putignano, O, Putterich, T, Quercia, A, Rachlew, E, Radulescu, G, Radulovic, V, Rainford, M, Raj, P, Ralph, G, Ramogida, G, Rasmussen, D, Rasmussen, J, Ratta, G, Ratynskaia, S, Rebai, M, Refy, D, Reichle, R, Reinke, M, Reiser, D, Reux, C, Reynolds, S, Richiusa, M, Richyal, S, Rigamonti, D, Rimini, F, Risner, J, Riva, M, Rivero-Rodriguez, J, Roach, C, Robins, R, Robinson, S, Robson, D, Rodionov, R, Rodrigues, P, Ramos, M, Rodriguez-Fernandez, P, Romanelli, F, Romanelli, M, Romanelli, S, Romazanov, J, Rossi, R, Rowe, S, Rowlands, D, Rubel, M, Rubinacci, G, Rubino, G, Ruchko, L, Ruiz, M, Ruiz, J, Ruset, C, Rzadkiewicz, J, Saarelma, S, Safi, E, Sahlberg, A, Salewski, M, Salmi, A, Salmon, R, Salzedas, F, Sanders, I, Sandiford, D, Santos, B, Santucci, A, Sarkimaki, K, Sarwar, R, Sarychev, I, Sauter, O, Sauwan, P, Scapin, N, Schluck, F, Schmid, K, Schmuck, S, Schneider, M, Schneider, P, Schworer, D, Scott, G, Scott, M, Scraggs, D, Scully, S, Segato, M, Seo, J, Sergienko, G, Sertoli, M, Sharapov, S, Shaw, A, Sheikh, H, Sheikh, U, Shepherd, A, Shevelev, A, Shigin, P, Shinohara, K, Shiraiwa, S, Shiraki, D, Short, M, Sias, G, Silburn, S, Silva, A, Silva, C, Silva, J, Silvagni, D, Simfukwe, D, Simpson, J, Sinclair, D, Sipila, S, Sips, A, Siren, P, Sirinelli, A, Sjostrand, H, Skinner, N, Slater, J, Smith, N, Smith, P, Snell, J, Snoep, G, Snoj, L, Snyder, P, Soare, S, Solano, E, Solokha, V, Somers, A, Sommariva, C, Soni, K, Sorokovoy, E, Sos, M, Sousa, J, Sozzi, C, Spagnolo, S, Spelzini, T, Spineanu, F, Spong, D, Sprada, D, Sridhar, S, Srinivasan, C, Stables, G, Staebler, G, Stamatelatos, I, Stancar, Z, Staniec, P, Stankunas, G, Stead, M, Stefanikova, E, Stephen, A, Stephens, J, Stevenson, P, Stojanov, M, Strand, P, Strauss, H, Strikwerda, S, Strom, P, Stuart, C, Studholme, W, Subramani, M, Suchkov, E, Sumida, S, Sun, H, Susts, T, Svensson, J, Svoboda, J, Sweeney, R, Sytnykov, D, Szabolics, T, Szepesi, G, Tabia, B, Tadic, T, Tal, B, Tala, T, Tallargio, A, Tamain, P, Tan, H, Tanaka, K, Tang, W, Tardocchi, M, Taylor, D, Teimane, A, Telesca, G, Teplova, N, Teplukhina, A, Terentyev, D, Terra, A, Terranova, D, Terranova, N, Testa, D, Tholerus, E, Thomas, J, Thoren, E, Thorman, A, Tierens, W, Tinguely, R, Tipton, A, Todd, H, Tokitani, M, Tolias, P, Tomes, M, 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Abstract: The JET 2019-2020 scientific and technological programme exploited the results of years of concerted scientific and engineering work, including the ITER-like wall (ILW: Be wall and W divertor) installed in 2010, improved diagnostic capabilities now fully available, a major neutral beam injection upgrade providing record power in 2019-2020, and tested the technical and procedural preparation for safe operation with tritium. Research along three complementary axes yielded a wealth of new results. Firstly, the JET plasma programme delivered scenarios suitable for high fusion power and alpha particle (alpha) physics in the coming D-T campaign (DTE2), with record sustained neutron rates, as well as plasmas for clarifying the impact of isotope mass on plasma core, edge and plasma-wall interactions, and for ITER pre-fusion power operation. The efficacy of the newly installed shattered pellet injector for mitigating disruption forces and runaway electrons was demonstrated. Secondly, research on the consequences of long-term exposure to JET-ILW plasma was completed, with emphasis on wall damage and fuel retention, and with analyses of wall materials and dust particles that will help validate assumptions and codes for design and operation of ITER and DEMO. Thirdly, the nuclear technology programme aiming to deliver maximum technological return from operations in D, T and D-T benefited from the highest D-D neutron yield in years, securing results for validating radiation transport and activation codes, and nuclear data for ITER.
Published: 2022

5. Effect of initiating biologics compared to intensifying conventional DMARDs on clinical and MRI outcomes in established rheumatoid arthritis patients in clinical remission: Secondary analyses of the IMAGINE-RA trial

Author: Møller-Bisgaard, S, primary, Hørslev-Petersen, K, additional, Ejbjerg, B, additional, Hetland, ML, additional, Christensen, R, additional, Ørnbjerg, LM, additional, Glinatsi, D, additional, Møller, JM, additional, Boesen, M, additional, Stengaard-Pedersen, K, additional, Madsen, OR, additional, Jensen, B, additional, Villadsen, JA, additional, Hauge, EM, additional, Bennett, P, additional, Hendricks, O, additional, Asmussen, K, additional, Kowalski, M, additional, Lindegaard, H, additional, Bliddal, H, additional, Krogh, NS, additional, Ellingsen, T, additional, Nielsen, AH, additional, Larsen, L, additional, Jurik, AG, additional, Thomsen, HS, additional, and Østergaard, M, additional
Published: 2021
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6. First principles and integrated modelling achievements towards trustful fusion power predictions for JET and ITER

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Esquembri, S, Esquisabel, Al, Esser, Hg, Ewart, G, Fable, E, Fagan, D, Faitsch, M, Falie, D, Fanni, A, Farahani, A, Fasoli, A, Faugeras, B, Fazinic, S, Felici, F, Felton, Rc, Feng, S, Fernades, A, Fernandes, H, Ferreira, J, Ferreira, Dr, Ferro, G, Fessey, Ja, Ficker, O, Field, A, Fietz, S, Figini, L, Figueiredo, J, Figueiredo, A, Fil, N, Finburg, P, Fischer, U, Fittill, L, Fitzgerald, M, Flammini, D, Flanagan, J, Flinders, K, Foley, S, Fonnesu, N, Fontdecaba, Jm, Formisano, A, Forsythe, L, Fortuna, L, Fransson, E, Frasca, M, Frassinetti, L, Freisinger, M, Fresa, R, Fridstrom, R, Frigione, D, Fuchs, V, Fusco, V, Futatani, S, Gal, K, Galassi, D, Galazka, K, Galeani, S, Galvao, R, Gao, Y, Garcia-Carrasco, A, Garcia-Munoz, M, Gardener, M, Gaspar, J, Gaudio, P, Gear, D, Gebhart, T, Gee, S, Geiger, B, Gelfusa, M, George, R, Gerasimov, S, Gervasini, G, Gethins, M, Ghani, Z, Ghate, M, Gherendi, M, Ghezzi, F, Giacalone, Jc, Giacomelli, L, Giacometti, G, Gibson, K, Giegerich, T, Gil, L, Gilbert, 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Kobuchi, T, Kochl, F, Kocsis, G, Kodeli, I, Koechl, F, Kogut, D, Koivuranta, S, Kolesnichenko, Y, Kollo, Z, Kominis, Y, Koppen, M, Korolczuk, S, Kos, B, Koslowski, Hr, Kotschenreuther, M, Koubiti, M, Kovaldins, R, Kovanda, O, Kowalska-Strzeciwilk, E, Krasilnikov, A, Krasilnikov, V, Krawczyk, N, Kresina, M, Krieger, K, Krivska, A, Kruezi, U, Ksiazek, I, Kukushkin, A, Kundu, A, Kurki-Suonio, T, Kwak, S, Kwon, Oj, Laguardia, L, Lahtinen, A, Laing, A, Lalousis, P, Lam, N, Lamb, C, Lambertz, Ht, Lang, Pt, Lanthaler, S, Neto, El, Laszynska, E, Lawless, R, Lawson, Kd, Lazaros, A, Lazzaro, E, Leach, R, Learoyd, G, Leerink, S, Lefebvre, X, Leggate, Hj, Lehmann, J, Lehnen, M, Leichauer, P, Leichtle, D, Leipold, F, Lengar, I, Lennholm, M, Lepiavko, B, Leppanen, J, Lerche, E, Lescinskis, A, Lescinskis, B, Lesnoj, S, Leyland, M, Leysen, W, Li, Y, Li, L, Liang, Y, Likonen, J, Linke, J, Linsmeier, C, Lipschultz, B, Litaudon, X, Liu, G, Lloyd, B, Lo Schiavo, Vp, Loarer, T, Loarte, A, Lomanowski, B, 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Meigh, S, Meigs, Ag, Meisl, G, Meiter, S, Meitner, S, Meneses, L, Menmuir, S, Mergia, K, Merle, A, Merriman, P, Mertens, P, Meshchaninov, S, Messiaen, A, Meyer, H, Michling, R, Milanesio, D, Militello, F, Militello-Asp, E, Milocco, A, Miloshevsky, G, Mink, F, Minucci, S, Miron, I, Mistry, S, Miyoshi, Y, Mlynar, J, Moiseenko, V, Monaghan, P, Monakhov, I, Moon, S, Mooney, R, Moradi, S, Moran, J, Mordijck, S, Moreira, L, Moro, F, Morris, J, Moser, L, Mosher, S, Moulton, D, Mrowetz, T, Muir, A, Muraglia, M, Murari, A, Muraro, A, Murphy, S, Muscat, P, Muthusonai, N, Myers, C, Asakura, Nn, N'Konga, B, Nabais, F, Naish, R, Naish, J, Nakano, T, Napoli, F, Nardon, E, Naulin, V, Nave, Mff, Nedzelskiy, I, Nemtsev, G, Nesenevich, V, Nespoli, F, Neto, A, Neu, R, Neverov, V, Newman, M, Ng, S, Nicassio, M, Nielsen, Ah, Nina, D, Nishijima, D, Noble, C, Nobs, Cr, Nodwell, D, Nordlund, K, Nordman, H, Normanton, R, Noterdaeme, Jm, Nowak, S, Nunes, I, O'Gorman, T, O'Mullane, M, Oberkofler, M, 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Vincenzi, P, Vinyar, I, Viola, B, Vitins, A, Vizvary, Z, Vlad, M, Voitsekhovitch, I, Voltolina, D, von Toussaint, U, Vondracek, P, Vuksic, M, Wakeling, B, Waldon, C, Walkden, N, Walker, R, Walker, M, Walsh, M, Wang, N, Wang, E, Warder, S, Warren, R, Waterhouse, J, Watts, C, Wauters, T, Webb, M, Weckmann, A, Weiland, J, Weiland, M, Weisen, H, Weiszflog, M, Welch, P, West, A, Wheatley, M, Wheeler, S, Whitehead, Am, Whittaker, D, Widdowson, Am, Wiesen, S, Wilkie, G, Williams, J, Willoughby, D, Wilson, J, Wilson, I, Wilson, Hr, Wischmeier, M, Withycombe, A, Witts, D, Wolfrum, E, Wood, R, Woodley, R, Woodley, C, Wray, S, Wright, Jc, Wright, P, Wukitch, S, Wynn, A, Xiang, L, Xu, T, Xue, Y, Yadikin, D, Yakovenko, Y, Yanling, W, Yavorskij, V, Young, I, Young, R, Young, D, Zacks, J, Zagorski, R, Zaitsev, F, Zakharov, L, Zanino, R, Zarins, A, Zarins, R, Fernandez, Dz, Zastrow, Kd, Zerbini, M, Zhang, W, Zhou, Y, Zilli, E, Zocco, A, Zoita, V, Zoletnik, S, Zwingmann, W, Zychor, I, and JET Contributors
Subjects: Physics, Nuclear and High Energy Physics, Fusion, Jet (fluid), Maximum power principle, Nuclear engineering, Context (language use), Plasma, Fusion power, Condensed Matter Physics, 01 natural sciences, 7. Clean energy, ICRH, Charged particle, 010305 fluids & plasmas, JET, transport, TRANSPORT, Physics::Plasma Physics, Beta (plasma physics), 0103 physical sciences, 010306 general physics
Abstract: Predictability of burning plasmas is a key issue for designing and building credible future fusion devices. In this context, an important effort of physics understanding and guidance is being carried out in parallel to the on-going JET experimental campaigns in H, D and T by performing analyses and modelling towards an improvement of the understanding of DT physics for the optimization of the JET-DT neutron yield and fusion born alpha particle physics. Extrapolations to JET-DT from recent experiments using the maximum power available have been performed including some of the most sophisticated codes and a broad selection of models. There is a general agreement that 11-15MW of fusion power can be expected in DT for the hybrid and baseline scenarios. On the other hand, in high beta, torque and fast ion fraction conditions, isotope effects could be favourable leading to higher fusion yield. It is shown that alpha particles related physics, such as TAE destabilization or fusion power electron heating, could be studied in ITER relevant JET-DT plasmas.
Published: 2019

7. Overview of ASDEX Upgrade results

Author: Aguiam, D, Aho-Mantila, L, Angioni, C, Arden, N, Parra, R, Asunta, O, Debaar, M, Balden, M, Behler, K, Bergmann, A, Bernardo, J, Bernert, M, Beurskens, M, Biancalani, A, Bilato, R, Birkenmeier, G, Bobkov, V, Bock, A, Bogomolov, A, Bolzonella, T, Boeswirth, B, Bottereau, C, Bottino, A, Van den Brand, H, Brezinsek, S, Brida, D, Brochard, F, Bruhn, C, Buchanan, J, Buhler, A, Burckhart, A, Cambon-Silva, D, Camenen, Y, Carvalho, P, Carrasco, G, Cazzaniga, C, Carr, M, Carralero, D, Casali, L, Castaldo, C, Cavedon, M, Challis, C, Chankin, A, Chapman, I, Clairet, F, Classen, I, Coda, S, Coelho, R, Coenen, J, Colas, L, Conway, G, Costea, S, Coster, D, Croci, G, Cseh, G, Czarnecka, A, D'Arcangelo, O, Day, C, Delogu, R, de Marne, P, Denk, S, Denner, P, Dibon, M, D'Inca, R, Disiena, A, Douai, D, Drenik, A, Drube, R, Dunne, M, Duval, B, Dux, R, Eich, T, Elgeti, S, Engelhardt, K, Erdos, B, Erofeev, I, Esposito, B, Fable, E, Faitsch, M, Fantz, U, Faugel, H, Felici, F, Fietz, S, Figueredo, A, Fischer, R, Ford, O, Frassinetti, L, Freethy, S, Froeschle, M, Fuchert, G, Fuchs, J, Fuenfgelder, H, Galazka, K, Galdon-Quiroga, J, Gallo, A, Gao, Y, Garavaglia, S, Garcia-Munoz, M, Geiger, B, Cianfarani, C, Giannone, L, Giovannozzi, E, Gleason-Gonzalez, C, Gloeggler, S, Gobbin, M, Goerler, T, Goodman, T, Gorini, G, Gradic, D, Graeter, A, Granucci, G, Greuner, H, Griener, M, Groth, M, Gude, A, Guenter, S, Guimarais, L, Haas, G, Hakola, A, Ham, C, Happel, T, Harrison, J, Hatch, D, Hauer, V, Hayward, T, Heinemann, B, Heinzel, S, Hellsten, T, Henderson, S, Hennequin, P, Herrmann, A, Heyn, E, Hitzler, F, Hobirk, J, Hoelzl, M, Hoeschen, T, Holm, J, Hopf, C, Hoppe, F, Horvath, L, Houben, A, Huber, A, Igochine, V, Ilkei, T, Ivanova-Stanik, I, Jacob, W, Jacobsen, A, Jacquot, J, Janky, F, Jardin, A, Jaulmes, F, Jenko, F, Jensen, T, Joffrin, E, Kaesemann, C, Kallenbach, A, Kalvin, S, Kantor, M, Kappatou, A, Kardaun, O, Karhunen, J, Kasilov, S, Kernbichler, W, Kim, D, Kimmig, S, Kirk, A, Klingshirn, H, Koch, F, Kocsis, G, Koehn, A, Kraus, M, Krieger, K, Krivska, A, Kraemr-Flecken, A, Kurki-Suonio, T, Kurzan, B, Lackner, K, Laggner, F, Lang, P, Lauber, P, Lazanyi, N, Lazaros, A, Lebschy, A, Li, L, Li, M, Liang, Y, Lipschultz, B, Liu, Y, Lohs, A, Luhmann, N, Lunt, T, Lyssoivan, A, Madsen, J, Maier, H, Maj, O, Mailloux, J, Maljaars, E, Manas, P, Mancini, A, Manhard, A, Manso, M, Mantica, P, Mantsinen, M, Manz, P, Maraschek, M, Martens, C, Martin, P, Marrelli, L, Martitsch, A, Mastrostefano, S, Mayer, A, Mayer, M, Mazon, D, Mccarthy, P, Mcdermott, R, Meisl, G, Meister, H, Medvedeva, A, Merkel, P, Merkel, R, Merle, A, Mertens, V, Meshcheriakov, D, Meyer, H, Meyer, O, Miettunen, J, Milanesio, D, Mink, F, Mlynek, A, Monaco, F, Moon, C, Nazikian, R, Nemes-Czopf, A, Neu, G, Neu, R, Nielsen, A, Nielsen, S, Nikolaeva, V, Nocente, M, Noterdaeme, J, Nowak, S, Oberkofler, M, Oberparleiter, M, Ochoukov, R, Odstrcil, T, Olsen, J, Orain, F, Palermo, F, Papp, G, Paradela Perez, I, 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Tierens, W, Told, D, Tudisco, O, Trevisan, G, Treutterer, W, Trier, E, Tripsky, M, Valisa, M, Valovic, M, Vanovac, B, Varela, P, Varoutis, S, Verdoolaege, G, Vezinet, D, Vianello, N, Vicente, J, Vierle, T, Viezzer, E, von Toussaint, U, Wagner, D, Wang, N, Wang, X, Weidl, M, Weil, White, A, Willensdorfer, M, Wiringer, B, Wischmeier, M, Wolf, R, Wolfrum, E, Xiang, L, Yang, Q, Yang, Z, Yu, Q, Zagorski, R, Zammuto, I, Zarzoso, D, Zhang, W, van Zeeland, M, Zehetbauer, T, Zilker, M, Zoletnik, S, Zohm, H, Parra, RArredondo, deBaar, M, Coenen, JW, Coster, DP, DiSiena, A, Duval, BP, Fuchs, JC, Hakola, AH, Holm, JH, Jacobsen, AS, Klingshirn, H-J, Lang, PT, Luhmann, NC, Manso, M-E, McCarthy, PJ, McDermott, R, Nielsen, AH, Nielsen, SK, Noterdaeme, J-M, Schneider, PA, Sun, H-J, White, AE, Zohm, H., Aguiam, D, Aho-Mantila, L, Angioni, C, Arden, N, Parra, R, Asunta, O, Debaar, M, Balden, M, Behler, K, Bergmann, A, Bernardo, J, Bernert, M, Beurskens, M, Biancalani, A, Bilato, R, Birkenmeier, G, 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Raupp, G, Refy, D, Reich, M, Reimold, F, Ribeiro, T, Riedl, R, Rittich, D, Rocchi, G, Rodriguez-Ramos, M, Rohde, V, Ross, A, Rott, M, Rubel, M, Ryan, D, Ryter, F, Saarelma, S, Salewski, M, Salmi, A, Sanchis-Sanchez, L, Santos, G, Santos, J, Sauter, O, Scarabosio, A, Schall, G, Schmid, K, Schmitz, O, Schneider, P, Schneller, M, Schrittwieser, R, Schubert, M, Schwarz-Selinger, T, Schweinzer, J, Scott, B, Sehmer, T, Sertoli, M, Shabbir, A, Shalpegin, A, Shao, L, Sharapov, S, Siccinio, M, Sieglin, B, Sigalov, A, Silva, A, Silva, C, Simon, P, Simpson, J, Snicker, A, Sommariva, C, Sozzi, C, Spolaore, M, Stejner, M, Stober, J, Stobbe, F, Stroth, U, Strumberger, E, Suarez, G, Sugiyama, K, Sun, H, Suttrop, W, Szepesi, T, Tal, B, Tala, T, Tardini, G, Tardocchi, M, Terranova, D, Tierens, W, Told, D, Tudisco, O, Trevisan, G, Treutterer, W, Trier, E, Tripsky, M, Valisa, M, Valovic, M, Vanovac, B, Varela, P, Varoutis, S, Verdoolaege, G, Vezinet, D, Vianello, N, Vicente, J, Vierle, T, Viezzer, E, von Toussaint, U, Wagner, D, Wang, N, Wang, X, Weidl, M, Weil, White, A, Willensdorfer, M, Wiringer, B, Wischmeier, M, Wolf, R, Wolfrum, E, Xiang, L, Yang, Q, Yang, Z, Yu, Q, Zagorski, R, Zammuto, I, Zarzoso, D, Zhang, W, van Zeeland, M, Zehetbauer, T, Zilker, M, Zoletnik, S, Zohm, H, Parra, RArredondo, deBaar, M, Coenen, JW, Coster, DP, DiSiena, A, Duval, BP, Fuchs, JC, Hakola, AH, Holm, JH, Jacobsen, AS, Klingshirn, H-J, Lang, PT, Luhmann, NC, Manso, M-E, McCarthy, PJ, McDermott, R, Nielsen, AH, Nielsen, SK, Noterdaeme, J-M, Schneider, PA, Sun, H-J, White, AE, and Zohm, H.
Abstract: The ASDEX Upgrade (AUG) programme is directed towards physics input to critical elements of the ITER design and the preparation of ITER operation, as well as addressing physics issues for a future DEMO design. Since 2015, AUG is equipped with a new pair of 3-strap ICRF antennas, which were designed for a reduction of tungsten release during ICRF operation. As predicted, a factor two reduction on the ICRF-induced W plasma content could be achieved by the reduction of the sheath voltage at the antenna limiters via the compensation of the image currents of the central and side straps in the antenna frame. There are two main operational scenario lines in AUG. Experiments with low collisionality, which comprise current drive, ELM mitigation/suppression and fast ion physics, are mainly done with freshly boronized walls to reduce the tungsten influx at these high edge temperature conditions. Full ELM suppression and non-inductive operation up to a plasma current of MA could be obtained at low plasma density. Plasma exhaust is studied under conditions of high neutral divertor pressure and separatrix electron density, where a fresh boronization is not required. Substantial progress could be achieved for the understanding of the confinement degradation by strong D puffing and the improvement with nitrogen or carbon seeding. Inward/outward shifts of the electron density profile relative to the temperature profile effect the edge stability via the pressure profile changes and lead to improved/decreased pedestal performance. Seeding and D gas puffing are found to effect the core fueling via changes in a region of high density on the high field side (HFSHD). The integration of all above mentioned operational scenarios will be feasible and naturally obtained in a large device where the edge is more opaque for neutrals and higher plasma temperatures provide a lower collisionality. The combination of exhaust control with pellet fueling has been successfully demonstrated. High divert
Published: 2017

8. A new Dual Cone Thermo-Expandable Metal Stent for Management of Malignant Ureteral Obstruction in Prostate Cancer

Author: Osther, Palle Jørn Sloth, Al-Gameel, Nielsen, AH, Hansen, MB, and Andreassen, Kim Hovgaard
Published: 2016

9. Pulse‐wave morphology and pulse‐wave velocity in healthy human volunteers: Examination conditions

Author: Svend Strandgaard, Kamper Al, Nielsen Ah, and Frimodt-Møller M
Subjects: Adult, Male, Applanation tonometry, medicine.medical_specialty, Clinical Biochemistry, Internal medicine, Humans, Medicine, Waveform, Pulse wave, Pulse, Pulse wave velocity, Reproducibility, business.industry, Pulse (signal processing), Smoking, Reproducibility of Results, General Medicine, Middle Aged, medicine.disease, Blood Pressure Monitors, Surgery, Blood pressure, Health, Arm, cardiovascular system, Arterial stiffness, Cardiology, Female, Energy Intake, business
Abstract: Applanation tonometry for pulse-wave analysis (PWA) and determination of pulse-wave velocity (PWV) is a non-invasive method for assessment of the central aortic pressure waveform and indices of arterial stiffness. The objective of this study was to examine the influence of eating and smoking on PWA and PWV measurements in order to establish standard examination conditions. Furthermore, intra- and interobserver reproducibility and the effects of varying the site of measurements were observed.Duplicate measurements of the radial pressure waveform and of the brachial and aortic PWV on the right and left side of the body were recorded in 23 healthy subjects by two trained observers. Measurements were performed in the fasting state and 3 h after a high-calorie meal, and before and 1 h after smoking a cigarette.Intake of a high-calorie meal as well as smoking caused significant changes in both PWA and PWV parameters and an inter-arm difference was observed. Intra- and interobserver reproducibility was good.Pulse-wave measurements by applanation tonometry should be undertaken in the same arm during fasting and smoking abstinence.
Published: 2006

10. Thermo-expandable ureteral metal stent (memokath 051™) for the treatment of chronic ureteral strictures: long-term data of the Danish memokath study

Author: Franke, Matthias, Ryhammer, Allan Malta, Holm-Nielsen, AH, Walter, Steen, Faber, JE, Graversen, P, Nøhr, M, and Osther, Palle Jørn Sloth
Published: 2011

11. Thermo-expandable ureteral metal stent (memokath 051™) fort he treatment of chronic ureteral strictures: long-term data of the Danish memokath study

Author: Franke, Matthias, Ryhammer, Allan Malta, Holm-Nielsen, AH, Walter, Steen, Faber, J E, Graversen, P, Nøhr, M, and Osther, Palle Jørn Sloth
Published: 2011

12. Analysis of a power grid using a Kuramoto-like model

Author: Filatrella, G, Nielsen, AH, and Pedersen, NF
Subjects: COMPLEX NETWORKS, SYNCHRONIZATION, GLOBALLY-COUPLED OSCILLATORS, POPULATIONS, ARRAYS
Abstract: We show that there is a link between the Kuramoto paradigm and another system of synchronized oscillators, namely an electrical power distribution grid of generators and consumers. The purpose of this work is to show both the formal analogy and some practical consequences. The mapping can be made quantitative, and under some necessary approximations a class of Kuramoto-like models, those with bimodal distribution of the frequencies, is most appropriate for the power-grid. In fact in the power-grid there are two kinds of oscillators: the 'sources' delivering power to the 'consumers'.
Published: 2008

13. Patient's contact person in the intensive care unit: is it really important?

Author: Nielsen, AH, primary and Kancir, CB, additional
Published: 2010
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14. Word co-occurrence effects driving language cortex during listening to a narrative

Author: Wallentin, M, primary, Vuust, P, additional, Mouridsen, K, additional, Dohn, A, additional, Nielsen, AH, additional, Roepstorff, A, additional, and Lund, TE, additional
Published: 2009
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15. Angiotensin Converting Enzyme in Bovine Ovarian Follicular Fluid and its Relationship with Oestradiol and Progesterone

Author: Nielsen, AH, primary, Schauser, KH, additional, Svenstrup, B, additional, and Poulsen, K, additional
Published: 2002
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16. The Renin-Angiotensin System in the Bovine Utero-Placental Unit

Author: Nielsen, AH, primary
Published: 2000
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17. ANGIOTENSIN II RECEPTORS AND RENIN IN THE PORCINE UTERUS: MYOMETRIAL AT2AND ENDOMETRIAL AT1RECEPTORS ARE DOWN-REGULATED DURING GESTATION

Author: Nielsen, AH, primary, Schauser, K., additional, Winther, H., additional, Dantzer, V., additional, and Poulsen, K., additional
Published: 1997
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18. Coherent structures in plasmas and fluids

Author: Rasmussen, JJ, Hesthaven, Jan S., Lynov, JP, Nielsen, AH, Sakanaka, PH, and Tendler, M.

19. Dynamics of a nonlinear dipole vortex

Author: Hesthaven, Jan S., Lynov, JP, Nielsen, AH, Rasmussen, JJ, Schmidt, MR, Shapiro, EG, and Turitsyn, SK
Subjects: Physics::Atomic Physics
Abstract: A localized stationary dipole solution to the Euler equations with a relationship between the vorticity and streamfunction given as omega=-psi+psi(3) is presented. By numerical integration of the Euler equations this dipole is shown to be unstable. However, the initially unstable dipole reorganizes itself into a new nonlinear dipole, which is found to be stable. This new structure has a functional relationship given as omega=alpha psi+beta psi(3)-gamma psi(5). Such dipoles are stable to head-on collisions and they are capable of creating tripolar structures when colliding off axis. The effects of increasing Newtonian viscosity on the nonlinear dipole is studied revealing that even though the nonlinearity is weakening, the dipole does not relax towards a Lamb dipole. (C) 1995 American Institute of Physics.

20. The Eulerian-Lagrangian transformation in two-dimensional random flows

Author: Hesthaven, Jan S., Nielsen, AH, Pecseli, HL, and Rasmussen, JJ
Abstract: The relation between the Eulerian and the Lagrangian correlation functions is studied in two spatial dimensions. Simple analytical expressions for the full space-time varying Eulerian correlation are derived solely on the basis of the one-dimensional wavenumber power spectrum of the velocity fluctuations. It is demonstrated that an extension of the arguments giving the foregoing results allows also for derivation of analytical expressions for the Lagrangian autocorrelation function. The results are supported by direct numerical solutions of the non-dissipative Euler equations for the fluctuating velocity. The calculations are initialized by a flow with equilibrium spectral energy distributions. The Lagrangian correlation function is obtained by tracing a large number of passively convected test particles.

21. Adaptive learning for disruption prediction in non-stationary conditions

Author: Murari, A., Lungaroni, M., Gelfusa, M., Peluso, E., Vega, J., Abduallev, S., Abhangi, M., Abreu, P., Afanasev, V, Afzal, M., Aggarwal, K. M., Ahlgren, T., Aho-Mantila, L., Aiba, N., Airila, M., Alarcon, T., Albanese, R., Alegre, D., Aleiferis, S., Alessi, E., Aleynikov, P., Alkseev, A., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Ambrosino, R., Amosov, V, Sunden, E. Andersson, Andrews, R., Angelone, M., Anghel, M., Angioni, C., Appel, L., Appelbee, C., Arena, P., Ariola, M., Arshad, S., Artaud, J., Arter, W., Ash, A., Ashikawa, N., Aslanyan, V, Asunta, O., Asztalos, O., Auriemma, F., Austin, Y., Avotina, L., Axton, M., Ayres, C., Baciero, A., Baiao, D., Balboa, I, Balden, M., Balshaw, N., Bandaru, V. K., Banks, J., Baranov, Y. F., Barcellona, C., Barnard, T., Barnes, M., Barnsley, R., Wiechec, A. Baron, Orte, L. Barrera, Baruzzo, M., Basiuk, V, Bassan, M., Bastow, R., Batista, A., Batistoni, P., Baumane, L., Bauvir, B., Baylor, L., Beaumont, P. S., Beckers, M., Beckett, B., Bekris, N., Beldishevski, M., Bell, K., Belli, F., Belonohy, E., Benayas, J., Bergsaker, H., Bernardo, J., Bernert, M., Berry, M., Bertalot, L., Besiliu, C., Betar, H., Beurskens, M., Bielecki, J., Biewer, T., Bilato, R., Biletskyi, O., Bilkova, P., Binda, F., Birkenmeier, G., Bizarro, J. P. S., Bjorkas, C., Blackburn, J., Blackman, T. R., Blanchard, P., Blatchford, P., Bobkov, V, Boboc, A., Bogar, O., Bohm, P., Bohm, T., Bolshakova, I, Bolzonella, T., Bonanomi, N., Boncagni, L., Bonfiglio, D., Bonnin, X., Boom, J., Borba, D., Borodin, D., Borodkina, I, Boulbe, C., Bourdelle, C., Bowden, M., Bowman, C., Boyce, T., Boyer, H., Bradnam, S. C., Braic, V, Bravanec, R., Breizman, B., Brennan, D., Breton, S., Brett, A., Brezinsek, S., Bright, M., Brix, M., Broeckx, W., Brombin, M., Broslawski, A., Brown, B., Brunetti, D., Bruno, E., Buch, J., Buchanan, J., Buckingham, R., Buckley, M., Bucolo, M., Budny, R., Bufferand, H., Buller, S., Bunting, P., Buratti, P., Burckhart, A., Burroughes, G., Buscarino, A., Busse, A., Butcher, D., Butler, B., Bykov, I, Cahyna, P., Calabro, G., Calacci, L., Callaghan, D., Callaghan, J., Calvo, I, Camenen, Y., Camp, P., Campling, D. C., Cannas, B., Capat, A., Carcangiu, S., Card, P., Cardinali, A., Carman, P., Carnevale, D., Carr, M., Carralero, D., Carraro, L., Carvalho, B. B., Carvalho, I, Carvalho, P., Carvalho, D. D., Casson, F. J., Castaldo, C., Catarino, N., Causa, F., Cavazzana, R., Cave-Ayland, K., Cavedon, M., Cecconello, M., Ceccuzzi, S., Cecil, E., Challis, C. D., Chandra, D., Chang, C. S., Chankin, A., Chapman, I. T., Chapman, B., Chapman, S. C., Chernyshova, M., Chiariello, A., Chitarin, G., Chmielewski, P., Chone, L., Ciraolo, G., Ciric, D., Citrin, J., Clairet, F., Clark, M., Clark, E., Clarkson, R., Clay, R., Clements, C., Coad, J. P., Coates, P., Cobalt, A., Coccorese, V, Cocilovo, V, Coelho, R., Coenen, J. W., Coffey, I, Colas, L., Colling, B., Collins, S., Conka, D., Conroy, S., Conway, N., Coombs, D., Cooper, S. R., Corradino, C., Corre, Y., Corrigan, G., Coster, D., Craciunescu, T., Cramp, S., Crapper, C., Crisanti, F., Croci, G., Croft, D., Crombe, K., Cruz, N., Cseh, G., Cufar, A., Cullen, A., Curson, P., Curuia, M., Czarnecka, A., Czarski, T., Cziegler, I, Dabirikhah, H., Dal Molin, A., Dalgliesh, P., Dalley, S., Dankowski, J., Darrow, D., David, P., Davies, A., Davis, W., Dawson, K., Day, I, Day, C., De Bock, M., de Castro, A., De Dominici, G., de la Cal, E., de la Luna, E., De Masi, G., De Temmerman, G., De Tommasi, G., de Vries, P., Deane, J., Dejarnac, R., Del Sarto, D., Delabie, E., Demerdzhiev, V, Dempsey, A., den Harder, N., Dendy, R. O., Denis, J., Denner, P., Devaux, S., Devynck, P., Di Maio, F., Di Siena, A., Di Troia, C., Dickinson, D., Dinca, P., Dittmar, T., Dobrashian, J., Doerk, H., Doerner, R. P., Domptail, F., Donne, T., Dorling, S. E., Douai, D., Dowson, S., Drenik, A., Dreval, M., Drewelow, P., Drews, P., Duckworth, Ph, Dumont, R., Dumortier, P., Dunai, D., Dunne, M., Duran, I, Durodie, F., Dutta, P., Duval, B. P., Dux, R., Dylst, K., Edappala, P., V, Edwards, A. M., Edwards, J. S., Eich, Th, Eidietis, N., Eksaeva, A., Ellis, R., Ellwood, G., Elsmore, C., Emery, S., Enachescu, M., Ericsson, G., Eriksson, J., Eriksson, F., Eriksson, L. G., Ertmer, S., Esquembri, S., Esquisabel, A. L., Esser, H. G., Ewart, G., Fable, E., Fagan, D., Faitsch, M., Falie, D., Fanni, A., Farahani, A., Fasoli, A., Faugeras, B., Fazinic, S., Felici, F., Felton, R. C., Feng, S., Fernades, A., Fernandes, H., Ferreira, J., Ferreira, D. R., Ferro, G., Fessey, J. A., Ficker, O., Field, A., Fietz, S., Figini, L., Figueiredo, J., Figueiredo, A., Fil, N., Finburg, P., Fischer, U., Fittill, L., Fitzgerald, M., Flammini, D., Flanagan, J., Flinders, K., Foley, S., Fonnesu, N., Fontdecaba, J. M., Formisano, A., Forsythe, L., Fortuna, L., Fransson, E., Frasca, M., Frassinetti, L., Freisinger, M., Fresa, R., Fridstrom, R., Frigione, D., Fuchs, V, Fusco, V, Futatani, S., Gal, K., Galassi, D., Galazka, K., Galeani, S., Gallart, D., Galvao, R., Gao, Y., Garcia, J., Garcia-Carrasco, A., Garcia-Munoz, M., Gardener, M., Garzotti, L., Gaspar, J., Gaudio, P., Gear, D., Gebhart, T., Gee, S., Geiger, B., George, R., Gerasimov, S., Gervasini, G., Gethins, M., Ghani, Z., Ghate, M., Gherendi, M., Ghezzi, F., Giacalone, J. C., Giacomelli, L., Giacometti, G., Gibson, K., Giegerich, T., Gil, L., Gilbert, M. R., Gin, D., Giovannozzi, E., Giroud, C., Gloeggler, S., Goff, J., Gohil, P., Goloborod'Ko, V, Gomes, R., Goncalves, B., Goniche, M., Goodyear, A., Gorini, G., Goerler, T., Goulding, R., Goussarov, A., Graham, B., Graves, J. P., Greuner, H., Grierson, B., Griffiths, J., Griph, S., Grist, D., Groth, M., Grove, R., Gruca, M., Guard, D., Guerard, C., Guillemaut, C., Guirlet, R., Gulati, S., Gurl, C., Gutierrez-Milla, A., Utoh, H. H., Hackett, L., Hacquin, S., Hager, R., Hakola, A., Halitovs, M., Hall, S., Hallworth-Cook, S., Ham, C., Hamed, M., Hamilton, N., Hamlyn-Harris, C., Hammond, K., Hancu, G., Harrison, J., Harting, D., Hasenbeck, F., Hatano, Y., Hatch, D. R., Haupt, T., Hawes, J., Hawkes, N. C., Hawkins, J., Hawkins, P., Hazel, S., Heesterman, P., Heinola, K., Hellesen, C., Hellsten, T., Helou, W., Hemming, O., Hender, T. C., Henderson, S. S., Henderson, M., Henriques, R., Hepple, D., Herfindal, J., Hermon, G., Hidalgo, C., Higginson, W., Highcock, E. G., Hillesheim, J., Hillis, D., Hizanidis, K., Hjalmarsson, A., Ho, A., Hobirk, J., Hogben, C. H. A., Hogeweij, G. M. D., Hollingsworth, A., Hollis, S., Hoelzl, M., Honore, J-J, Hook, M., Hopley, D., Horacek, J., Hornung, G., Horton, A., Horton, L. D., Horvath, L., Hotchin, S. P., Howell, R., Hubbard, A., Huber, A., Huber, V, Huddleston, T. M., Hughes, M., Hughes, J., Huijsmans, G. T. A., Huynh, P., Hynes, A., Igaune, I., Iglesias, D., Imazawa, N., Imrisek, M., Incelli, M., Innocente, P., Ivanova-Stanik, I., Ivings, E., Jachmich, S., Jackson, A., Jackson, T., Jacquet, P., Jansons, J., Jaulmes, F., Jednorog, S., Jenkins, I, Jepu, I, Johnson, T., Johnson, R., Johnston, J., Joita, L., Joly, J., Jonasson, E., Jones, T., Jones, C., Jones, L., Jones, G., Jones, N., Juvonen, M., Hoshino, K. K., Kallenbach, A., Kalsey, M., Kaltiaisenaho, T., Kamiya, K., Kaniewski, J., Kantor, A., Kappatou, A., Karhunen, J., Karkinsky, D., Kaufman, M., Kaveney, G., Kazakov, Y., Kazantzidis, V, Keeling, D. L., Keenan, F. P., Kempenaars, M., Kent, O., Kent, J., Keogh, K., Khilkevich, E., Kim, H-T, Kim, H. T., King, R., King, D., Kinna, D. J., Kiptily, V, Kirk, A., Kirov, K., Kirschner, A., Kizane, G., Klas, M., Klepper, C., Klix, A., Knight, M., Knight, P., Knipe, S., Knott, S., Kobuchi, T., Kochl, F., Kocsis, G., Kodeli, I, Koechl, F., Kogut, D., Koivuranta, S., Kolesnichenko, Y., Kollo, Z., Kominis, Y., Koeppen, M., Korolczuk, S., Kos, B., Koslowski, H. R., Kotschenreuther, M., Koubiti, M., Kovaldins, R., Kovanda, O., Kowalska-Strzeciwilk, E., Krasilnikov, A., Krasilnikov, V, Krawczyk, N., Kresina, M., Krieger, K., Krivska, A., Kruezi, U., Ksiazek, I, Kukushkin, A., Kundu, A., Kurki-Suonio, T., Kwak, S., Kwon, O. J., Laguardia, L., Lahtinen, A., Laing, A., Lalousis, P., Lam, N., Lamb, C., Lambertz, H. T., Lang, P. T., Lanthaler, S., Neto, E. Lascas, Laszynska, E., Lawless, R., Lawson, K. D., Lazaros, A., Lazzaro, E., Leach, R., Learoyd, G., Leerink, S., Lefebvre, X., Leggate, H. J., Lehmann, J., Lehnen, M., Leichauer, P., Leichtle, D., Leipold, F., Lengar, I, Lennholm, M., Lepiavko, B., Leppanen, J., Lerche, E., Lescinskis, A., Lescinskis, B., Lesnoj, S., Leyland, M., Leysen, W., Li, Y., Li, L., Liang, Y., Likonen, J., Linke, J., Linsmeier, Ch, Lipschultz, B., Litaudon, X., Liu, G., Lloyd, B., Lo Schiavo, V. P., Loarer, T., Loarte, A., Lomanowski, B., Lomas, P. J., Lonnroth, J., Lopez, J. M., Lorenzini, R., Losada, U., Loughlin, M., Lowry, C., Luce, T., Lucock, R., Lukin, A., Luna, C., Lungu, C. P., Lungu, M., Lunniss, A., Lunt, T., Lupelli, I, Lutsenko, V, Lyssoivan, A., Macheta, P., Macusova, E., Magesh, B., Maggi, C., Maggiora, R., Mahesan, S., Maier, H., Mailloux, J., Maingi, R., Makwana, R., Malaquias, A., Malinowski, K., Malizia, A., Manas, P., Manduchi, G., Manso, M. E., Mantica, P., Mantsinen, M., Manzanares, A., Maquet, Ph, Marandet, Y., Marcenko, N., Marchetto, C., Marchuk, O., Marconato, N., Mariani, A., Marin, M., Marinelli, M., Marinucci, M., Markovic, T., Marocco, D., Marot, L., Marsh, J., Martin, A., Martin de Aguilera, A., Martin-Solis, J. R., Martone, R., Martynova, Y., Maruyama, S., Maslov, M., Matejcik, S., Mattei, M., Matthews, G. F., Matveev, D., Matveeva, E., Mauriya, A., Maviglia, F., May-Smith, T., Mayer, M., Mayoral, M. L., Mazon, D., Mazzotta, C., Mcadams, R., Mccarthy, P. J., Mcclements, K. G., Mccormack, O., Mccullen, P. A., Mcdonald, D., Mchardy, M., Mckean, R., Mckehon, J., Mcnamee, L., Meadowcroft, C., Meakins, A., Medley, S., Meigh, S., Meigs, A. G., Meisl, G., Meiter, S., Meitner, S., Meneses, L., Menmuir, S., Mergia, K., Merle, A., Merriman, P., Mertens, Ph, Meshchaninov, S., Messiaen, A., Meyer, H., Michling, R., Milanesio, D., Militello, F., Militello-Asp, E., Milocco, A., Miloshevsky, G., Mink, F., Minucci, S., Miron, I, Mistry, S., Miyoshi, Y., Mlynar, J., Moiseenko, V, Monaghan, P., Monakhov, I, Moon, S., Mooney, R., Moradi, S., Morales, J., Moran, J., Mordijck, S., Moreira, L., Moro, F., Morris, J., Moser, L., Mosher, S., Moulton, D., Mrowetz, T., Muir, A., Muraglia, M., Muraro, A., Murphy, S., Muscat, P., Muthusonai, N., Myers, C., Asakura, N. N., N'Konga, B., Nabais, F., Naish, R., Naish, J., Nakano, T., Napoli, F., Nardon, E., Naulin, V, Nave, M. F. F., Nedzelskiy, I, Nemtsev, G., Nesenevich, V, Nespoli, F., Neto, A., Neu, R., Neverov, V. S., Newman, M., Ng, S., Nicassio, M., Nielsen, A. H., Nina, D., Nishijima, D., Noble, C., Nobs, C. R., Nocente, M., Nodwell, D., Nordlund, K., Nordman, H., Normanton, R., Noterdaeme, J. M., Nowak, S., Nunes, I, O'Gorman, T., O'Mullane, M., Oberkofler, M., Oberparleiter, M., Odupitan, T., Ogawa, M. T., Okabayashi, M., Oliver, H., Olney, R., Omoregie, L., Ongena, J., Orsitto, F., Orszagh, J., Osborne, T., Otin, R., Owen, A., Owen, T., Paccagnella, R., Packer, L. W., Pajuste, E., Pamela, S., Panja, S., Papp, P., Papp, G., Parail, V, Pardanaud, C., Diaz, F. Parra, Parsloe, A., Parsons, N., Parsons, M., Pasqualotto, R., Passeri, M., Patel, A., Pathak, S., Patten, H., Pau, A., Pautasso, G., Pavlichenko, R., Pavone, A., Pawelec, E., Soldan, C. Paz, Peackoc, A., Pehkonen, S-P, Penot, C., Penzo, J., Pepperell, K., Pereira, R., Cippo, E. Perelli, von Thun, C. Perez, Pericoli, V, Peruzzo, S., Peterka, M., Petersson, P., Petravich, G., Petre, A., Petrzilka, V, Philipps, V, Pigatto, L., Pillon, M., Pinches, S., Pintsuk, G., Piovesan, P., de Sa, W. Pires, dos Reis, A. 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Zilli, E, Zocco, A, Zoita, V, Zoletnik, S, Zwingmann, W, and Zychor, I
Subjects: Nuclear and High Energy Physics, Computer science, ensembles of classifiers, Machine learning, computer.software_genre, disruptions, 01 natural sciences, 010305 fluids & plasmas, obsolescence, Ensembles of classifiers, Stationary conditions, 0103 physical sciences, 010306 general physics, de-learning, Jet (fluid), business.industry, machine learning predictors, adaptive training, JET, Settore ING-IND/18 - Fisica dei Reattori Nucleari, machine learning predictor, Condensed Matter Physics, disruption, Obsolescence, Artificial intelligence, Adaptive learning, business, computer
Abstract: For many years, machine learning tools have proved to be very powerful disruption predictors in tokamaks. On the other hand, the vast majority of the techniques deployed assume that the input data is independent and is sampled from exactly the same probability distribution for the training set, the test set and the final real time deployment. This hypothesis is certainly not verified in practice, since the experimental programmes evolve quite rapidly, resulting typically in ageing of the predictors and consequent suboptimal performance. This paper describes various adaptive training strategies that have been tested to maintain the performance of disruption predictors in non- stationary conditions. The proposed approaches have been implemented using new ensembles of classifiers, explicitly developed for the present application. The improvements in performance are unquestionable and, given the difficulties encountered so far in translating predictors from one device to another, the proposed adaptive methods from scratch can therefore be considered a useful option in the arsenal of alternatives envisaged for the next generation of devices, particularly at the very beginning of their operation.
Published: 2019

22. Role of fast ion pressure in the isotope effect in JET L-mode plasmas

Author: Bonanomi, N., Casiraghi, I, Mantica, P., Challis, C., Delabie, E., Fable, E., Gallart, D., Giroud, C., Lerche, E., Lomas, P., Menmuir, S., Staebler, G. M., Taylor, D., Van Eester, D., Abduallev, S., Abhangi, M., Abreu, P., Afanasev, V, Afzal, M., Aggarwal, K. M., Ahlgren, T., Aho-Mantila, L., Aiba, N., Airila, M., Alarcon, T., Albanese, R., Alegre, D., Aleiferis, S., Alessi, E., Aleynikov, P., Alkseev, A., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Ambrosino, R., Amosov, V, Sunden, E. Andersson, Andrews, R., Angelone, M., Anghel, M., Angioni, C., Appel, L., Appelbee, C., Arena, P., Ariola, M., Arshad, S., Artaud, J., Arter, W., Ash, A., Ashikawa, N., Aslanyan, V, Asunta, O., Asztalos, O., Auriemma, F., Austin, Y., Avotina, L., Axton, M., Ayres, C., Baciero, A., Baiao, D., Balboa, I, Balden, M., Balshaw, N., Bandaru, V. K., Banks, J., Baranov, Y. F., Barcellona, C., Barnard, T., Barnes, M., Barnsley, R., Wiechec, A. Baron, Orte, L. Barrera, Baruzzo, M., Basiuk, V, Bassan, M., Bastow, R., Batista, A., Batistoni, P., Baumane, L., Bauvir, B., Baylor, L., Beaumont, P. S., Beckers, M., Beckett, B., Bekris, N., Beldishevski, M., Bell, K., Belli, F., Belonohy, E., Benayas, J., Bergsaker, H., Bernardo, J., Bernert, M., Berry, M., Bertalot, L., Besiliu, C., Betar, H., Beurskens, M., Bielecki, J., Biewer, T., Bilato, R., Biletskyi, O., Bilkova, P., Binda, F., Birkenmeier, G., Bizarro, J. P. S., Bjorkas, C., Blackburn, J., Blackman, T. R., Blanchard, P., Blatchford, P., Bobkov, V, Boboc, A., Bogar, O., Bohm, P., Bohm, T., Bolshakova, I, Bolzonella, T., Boncagni, L., Bonfiglio, D., Bonnin, X., Boom, J., Borba, D., Borodin, D., Borodkina, I, Boulbe, C., Bourdelle, C., Bowden, M., Bowman, C., Boyce, T., Boyer, H., Bradnam, S. 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R., Corradino, C., Corre, Y., Corrigan, G., Coster, D., Craciunescu, T., Cramp, S., Crapper, C., Crisanti, F., Croci, G., Croft, D., Crombe, K., Cruz, N., Cseh, G., Cufar, A., Cullen, A., Curson, P., Curuia, M., Czarnecka, A., Czarski, T., Cziegler, I, Dabirikhah, H., Dal Molin, A., Dalgliesh, P., Dalley, S., Dankowski, J., Darrow, D., David, P., Davies, A., Davis, W., Dawson, K., Day, I, Day, C., De Bock, M., de Castro, A., De Dominici, G., de la Cal, E., de la Luna, E., De Masi, G., De Temmerman, G., De Tommasi, G., de Vries, P., Deane, J., Dejarnac, R., Del Sarto, D., Demerdzhiev, V, Dempsey, A., den Harder, N., Dendy, R. O., Denis, J., Denner, P., Devaux, S., Devynck, P., Di Maio, F., Di Siena, A., Di Troia, C., Dickinson, D., Dinca, P., Dittmar, T., Dobrashian, J., Doerk, H., Doerner, R. P., Domptail, F., Donne, T., Dorling, S. 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Zanino, R, Zarins, A, Zarins, R, Fernandez, Dz, Zastrow, Kd, Zerbini, M, Zhang, W, Zhou, Y, Zilli, E, Zocco, A, Zoita, V, Zoletnik, S, Zwingmann, W, Zychor, I, Department of Physics, and Materials Physics
Subjects: Nuclear and High Energy Physics, Materials science, Hydrogen, chemistry.chemical_element, 114 Physical sciences, 7. Clean energy, 01 natural sciences, 010305 fluids & plasmas, Ion, gyrokinetic, JET tokamak, Physics::Plasma Physics, equations, turbulent transport, fast ions, isotope effect, gyrokinetic simulations, 0103 physical sciences, Kinetic isotope effect, drift orbit width, fast ion, Physics::Atomic Physics, Nuclear Experiment, 010306 general physics, Jet (fluid), Stable isotope ratio, turbulence, Plasma, gyrokinetic simulation, Condensed Matter Physics, chemistry, Deuterium, confinement, transport, Physics::Space Physics, simulations, Atomic physics, DRIFT ORBIT WIDTH, CONFINEMENT, SIMULATIONS, TURBULENCE, TRANSPORT, EQUATIONS, Ion cyclotron resonance
Abstract: This paper presents results of JET ITER-like wall L-mode experiments in hydrogen and deuterium (D) plasmas, dedicated to the study of the isotope dependence of ion heat transport by determination of the ion critical gradient and stiffness by varying the ion cyclotron resonance heating power deposition. When no strong role of fast ions in the plasma core is expected, the main difference between the two isotope plasmas is determined by the plasma edge and the core behavior is consistent with a gyro-Bohm scaling. When the heating power (and the fast ion pressure) is increased, in addition to the difference in the edge region, also the plasma core shows substantial changes. The stabilization of ion heat transport by fast ions, clearly visible in D plasmas, appears to be weaker in H plasmas, resulting in a higher ion heat flux in H with apparent anti-gyro-Bohm mass scaling. The difference is found to be caused by the different fast ion pressure between H and D plasmas, related to the heating power settings and to the different fast ion slowing down time, and is completely accounted for in non-linear gyrokinetic simulations. The application of the TGLF quasi-linear model to this set of data is also discussed.
Published: 2019

23. Ion cyclotron resonance heating scenarios for DEMO

Author: Van Eester, D., Lerche, E., Ragona, R., Messiaen, A., Wauters, T., Abduallev, S., Abhangi, M., Abreu, P., Afanasev, V, Afzal, M., Aggarwal, K. M., Ahlgren, T., Aho-Mantila, L., Aiba, N., Airila, M., Alarcon, T., Albanese, R., Alegre, D., Aleiferis, S., Alessi, E., Aleynikov, P., Alkseev, A., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Ambrosino, R., Amosov, V, Sunden, E. Andersson, Andrews, R., Angelone, M., Anghel, M., Angioni, C., Appel, L., Appelbee, C., Arena, P., Ariola, M., Arshad, S., Artaud, J., Arter, W., Ash, A., Ashikawa, N., Aslanyan, V, Asunta, O., Asztalos, O., Auriemma, F., Austin, Y., Avotina, L., Axton, M., Ayres, C., Baciero, A., Baiao, D., Balboa, I, Balden, M., Balshaw, N., Bandaru, V. K., Banks, J., Baranov, Y. F., Barcellona, C., Barnard, T., Barnes, M., Barnsley, R., Wiechec, A. Baron, Orte, L. Barrera, Baruzzo, M., Basiuk, V, Bassan, M., Bastow, R., Batista, A., Batistoni, P., Baumane, L., Bauvir, B., Baylor, L., Beaumont, P. S., Beckers, M., Beckett, B., Bekris, N., Beldishevski, M., Bell, K., Belli, F., Belonohy, E., Benayas, J., Bergsaker, H., Bernardo, J., Bernert, M., Berry, M., Bertalot, L., Besiliu, C., Betar, H., Beurskens, M., Bielecki, J., Biewer, T., Bilato, R., Biletskyi, O., Bilkova, P., Binda, F., Birkenmeier, G., Bizarro, J. P. S., Bjorkas, C., Blackburn, J., Blackman, T. R., Blanchard, P., Blatchford, P., Bobkov, V, Boboc, A., Bogar, O., Bohm, P., Bohm, T., Bolshakova, I, Bolzonella, T., Bonanomi, N., Boncagni, L., Bonfiglio, D., Bonnin, X., Boom, J., Borba, D., Borodin, D., Borodkina, I, Boulbe, C., Bourdelle, C., Bowden, M., Bowman, C., Boyce, T., Boyer, H., Bradnam, S. 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Zastrow, Kd, Zerbini, M, Zhang, W, Zhou, Y, Zilli, E, Zocco, A, Zoita, V, Zoletnik, S, Zwingmann, W, and Zychor, I
Subjects: Nuclear and High Energy Physics, Tokamak, Materials science, heating, Sawtooth wave, wave, discharges, 114 Physical sciences, 7. Clean energy, 01 natural sciences, 010305 fluids & plasmas, law.invention, law, Physics::Plasma Physics, 0103 physical sciences, Dielectric heating, icrh, 010306 general physics, tokamak, mode conversion, iter, minority, Plasma, Condensed Matter Physics, plasmas, Computational physics, ICRH, ITER, current drive, Ion cyclotron resonance heating, sawtooth, oscillations, systems code
Abstract: The present paper offers an overview of the potential of ion cyclotron resonance heating (ICRH) or radio frequency heating for the DEMO machine. It is found that various suitable heating schemes are available. Similar to ITER and in view of the limited bandwidth of about 10 MHz that can be achieved to ensure optimal functioning of the launcher, it is proposed to make core second harmonic tritium heating the key ion heating scheme, assisted by fundamental cyclotron heating He-3 in the early phase of the discharge; for the present design of DEMO-with a static magnetic field strength of B-o = 5.855 T-that places the T and 3He layers in the core for f = 60 MHz and suggests centering the bandwidth around that main operating frequency. In line with earlier studies for hot, dense plasmas in large-size magnetic confinement machines, it is shown that good single pass absorption is achieved but that the size as well as the operating density and temperature of the machine cause the electrons to absorb a non-negligible fraction of the power away from the core when core ion heating is aimed at. Current drive and alternative heating options are briefly discussed and a dedicated computation is done for the traveling wave antenna, proposed for DEMO in view of its compatibility with substantial antenna-plasma distances. The various tasks that ICRH can fulfill are briefly listed. Finally, the impact of transport and the sensitivity of the obtained results to changes in the machine parameters is commented on.

24. A new mechanism for increasing density peaking in tokamaks: improvement of the inward particle pinch with edge E x B shearing

Author: Garcia, J., Doerk, H., Goerler, T., Abduallev, S., Abhangi, M., Abreu, P., Afanasev, V, Afzal, M., Aggarwal, K. M., Ahlgren, T., Aho-Mantila, L., Aiba, N., Airila, M., Alarcon, T., Albanese, R., Alegre, D., Aleiferis, S., Alessi, E., Aleynikov, P., Alkseev, A., Allinson, M., Alper, B., Alves, E., Ambrosino, G., Ambrosino, R., Amosov, V, Sunden, E. Andersson, Andrews, R., Angelone, M., Anghel, M., Angioni, C., Appel, L., Appelbee, C., Arena, P., Ariola, M., Arshad, S., Artaud, J., Arter, W., Ash, A., Ashikawa, N., Aslanyan, V, Asunta, O., Asztalos, O., Auriemma, F., Austin, Y., Avotina, L., Axton, M., Ayres, C., Baciero, A., Baiao, D., Balboa, I, Balden, M., Balshaw, N., Bandaru, V. K., Banks, J., Baranov, Y. F., Barcellona, C., Barnard, T., Barnes, M., Barnsley, R., Wiechec, A. Baron, Orte, L. Barrera, Baruzzo, M., Basiuk, V, Bassan, M., Bastow, R., Batista, A., Batistoni, P., Baumane, L., Bauvir, B., Baylor, L., Beaumont, P. S., Beckers, M., Beckett, B., Bekris, N., Beldishevski, M., Bell, K., Belli, F., Belonohy, E., Benayas, J., Bergsaker, H., Bernardo, J., Bernert, M., Berry, M., Bertalot, L., Besiliu, C., Betar, H., Beurskens, M., Bielecki, J., Biewer, T., Bilato, R., Biletskyi, O., Bilkova, P., Binda, F., Birkenmeier, G., Bizarro, J. P. S., Bjorkas, C., Blackburn, J., Blackman, T. R., Blanchard, P., Blatchford, P., Bobkov, V, Boboc, A., Bogar, O., Bohm, P., Bohm, T., Bolshakova, I, Bolzonella, T., Bonanomi, N., Boncagni, L., Bonfiglio, D., Bonnin, X., Boom, J., Borba, D., Borodin, D., Borodkina, I, Boulbe, C., Bourdelle, C., Bowden, M., Bowman, C., Boyce, T., Boyer, H., Bradnam, S. C., Braic, V, Bravanec, R., Breizman, B., Brennan, D., Breton, S., Brett, A., Brezinsek, S., Bright, M., Brix, M., Broeckx, W., Brombin, M., Broslawski, A., Brown, B., Brunetti, D., Bruno, E., Buch, J., Buchanan, J., Buckingham, R., Buckley, M., Bucolo, M., Budny, R., Bufferand, H., Buller, S., Bunting, P., Buratti, P., Burckhart, A., Burroughes, G., Buscarino, A., Busse, A., Butcher, D., Butler, B., Bykov, I, Cahyna, P., Calabro, G., Calacci, L., Callaghan, D., Callaghan, J., Calvo, I, Camenen, Y., Camp, P., Campling, D. C., Cannas, B., Capat, A., Carcangiu, S., Card, P., Cardinali, A., Carman, P., Carnevale, D., Carr, M., Carralero, D., Carraro, L., Carvalho, B. B., Carvalho, I, Carvalho, P., Carvalho, D. D., Casson, F. J., Castaldo, C., Catarino, N., Causa, F., Cavazzana, R., Cave-Ayland, K., Cavedon, M., Cecconello, M., Ceccuzzi, S., Cecil, E., Challis, C. D., Chandra, D., Chang, C. S., Chankin, A., Chapman, I. T., Chapman, B., Chapman, S. C., Chernyshova, M., Chiariello, A., Chitarin, G., Chmielewski, P., Chone, L., Ciraolo, G., Ciric, D., Citrin, J., Clairet, F., Clark, M., Clark, E., Clarkson, R., Clay, R., Clements, C., Coad, J. P., Coates, P., Cobalt, A., Coccorese, V, Cocilovo, V, Coelho, R., Coenen, J. W., Coffey, I, Colas, L., Colling, B., Collins, S., Conka, D., Conroy, S., Conway, N., Coombs, D., Cooper, S. R., Corradino, C., Corre, Y., Corrigan, G., Coster, D., Craciunescu, T., Cramp, S., Crapper, C., Crisanti, F., Croci, G., Croft, D., Crombe, K., Cruz, N., Cseh, G., Cufar, A., Cullen, A., Curson, P., Curuia, M., Czarnecka, A., Czarski, T., Cziegler, I, Dabirikhah, H., Dal Molin, A., Dalgliesh, P., Dalley, S., Dankowski, J., Darrow, D., David, P., Davies, A., Davis, W., Dawson, K., Day, I, Day, C., De Bock, M., de Castro, A., De Dominici, G., de la Cal, E., de la Luna, E., De Masi, G., De Temmerman, G., De Tommasi, G., de Vries, P., Deane, J., Dejarnac, R., Del Sarto, D., Delabie, E., Demerdzhiev, V, Dempsey, A., den Harder, N., Dendy, R. O., Denis, J., Denner, P., Devaux, S., Devynck, P., Di Maio, F., Di Siena, A., Di Troia, C., Dickinson, D., Dinca, P., Dittmar, T., Dobrashian, J., Doerner, R. P., Domptail, F., Donne, T., Dorling, S. E., Douai, D., Dowson, S., Drenik, A., Dreval, M., Drewelow, P., Drews, P., Duckworth, Ph, Dumont, R., Dumortier, P., Dunai, D., Dunne, M., Duran, I, Durodie, F., Dutta, P., Duval, B. P., Dux, R., Dylst, K., Edappala, P., V, Edwards, A. M., Edwards, J. S., Eich, Th, Eidietis, N., Eksaeva, A., Ellis, R., Ellwood, G., Elsmore, C., Emery, S., Enachescu, M., Ericsson, G., Eriksson, J., Eriksson, F., Eriksson, L. G., Ertmer, S., Esquembri, S., Esquisabel, A. L., Esser, H. G., Ewart, G., Fable, E., Fagan, D., Faitsch, M., Falie, D., Fanni, A., Farahani, A., Fasoli, A., Faugeras, B., Fazinic, S., Felici, F., Felton, R. C., Feng, S., Fernades, A., Fernandes, H., Ferreira, J., Ferreira, D. R., Ferro, G., Fessey, J. A., Ficker, O., Field, A., Fietz, S., Figini, L., Figueiredo, J., Figueiredo, A., Fil, N., Finburg, P., Fischer, U., Fittill, L., Fitzgerald, M., Flammini, D., Flanagan, J., Flinders, K., Foley, S., Fonnesu, N., Fontdecaba, J. M., Formisano, A., Forsythe, L., Fortuna, L., Fransson, E., Frasca, M., Frassinetti, L., Freisinger, M., Fresa, R., Fridstrom, R., Frigione, D., Fuchs, V, Fusco, V, Futatani, S., Gal, K., Galassi, D., Galazka, K., Galeani, S., Gallart, D., Galvao, R., Gao, Y., Garcia-Carrasco, A., Garcia-Munoz, M., Gardener, M., Garzotti, L., Gaspar, J., Gaudio, P., Gear, D., Gebhart, T., Gee, S., Geiger, B., Gelfusa, M., George, R., Gerasimov, S., Gervasini, G., Gethins, M., Ghani, Z., Ghate, M., Gherendi, M., Ghezzi, F., Giacalone, J. C., Giacomelli, L., Giacometti, G., Gibson, K., Giegerich, T., Gil, L., Gilbert, M. R., Gin, D., Giovannozzi, E., Giroud, C., Gloeggler, S., Goff, J., Gohil, P., Goloborod'Ko, V, Gomes, R., Goncalves, B., Goniche, M., Goodyear, A., Gorini, G., Goulding, R., Goussarov, A., Graham, B., Graves, J. 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F, Lengar, I, Lennholm, M, Lepiavko, B, Leppanen, J, Lerche, E, Lescinskis, A, Lescinskis, B, Lesnoj, S, Leyland, M, Leysen, W, Li, Y, Li, L, Liang, Y, Likonen, J, Linke, J, Linsmeier, C, Lipschultz, B, Litaudon, X, Liu, G, Lloyd, B, Lo Schiavo, Vp, Loarer, T, Loarte, A, Lomanowski, B, Lomas, Pj, Lonnroth, J, Lopez, Jm, Lorenzini, R, Losada, U, Loughlin, M, Lowry, C, Luce, T, Lucock, R, Lukin, A, Luna, C, Lungaroni, M, Lungu, Cp, Lungu, M, Lunniss, A, Lunt, T, Lupelli, I, Lutsenko, V, Lyssoivan, A, Macheta, P, Macusova, E, Magesh, B, Maggi, C, Maggiora, R, Mahesan, S, Maier, H, Mailloux, J, Maingi, R, Makwana, R, Malaquias, A, Malinowski, K, Malizia, A, Manas, P, Manduchi, G, Manso, Me, Mantica, P, Mantsinen, M, Manzanares, A, Maquet, P, Marandet, Y, Marcenko, N, Marchetto, C, Marchuk, O, Marconato, N, Mariani, A, Marin, M, Marinelli, M, Marinucci, M, Markovic, T, Marocco, D, Marot, L, Marsh, J, Martin, A, de Aguilera, Am, Martin-Solis, Jr, Martone, R, Martynova, Y, Maruyama, S, Maslov, M, Matejcik, S, Mattei, M, Matthews, Gf, Matveev, D, Matveeva, E, Mauriya, A, Maviglia, F, May-Smith, T, Mayer, M, Mayoral, Ml, Mazon, D, Mazzotta, C, Mcadams, R, Mccarthy, Pj, Mcclements, Kg, Mccormack, O, Mccullen, Pa, Mcdonald, D, Mchardy, M, Mckean, R, Mckehon, J, Mcnamee, L, Meadowcroft, C, Meakins, A, Medley, S, Meigh, S, Meigs, Ag, Meisl, G, Meiter, S, Meitner, S, Meneses, L, Menmuir, S, Mergia, K, Merle, A, Merriman, P, Mertens, P, Meshchaninov, S, Messiaen, A, Meyer, H, Michling, R, Milanesio, D, Militello, F, Militello-Asp, E, Milocco, A, Miloshevsky, G, Mink, F, Minucci, S, Miron, I, Mistry, S, Miyoshi, Y, Mlynar, J, Moiseenko, V, Monaghan, P, Monakhov, I, Moon, S, Mooney, R, Moradi, S, Morales, J, Moran, J, Mordijck, S, Moreira, L, Moro, F, Morris, J, Moser, L, Mosher, S, Moulton, D, Mrowetz, T, Muir, A, Muraglia, M, Murari, A, Muraro, A, Murphy, S, Muscat, P, Muthusonai, N, Myers, C, Asakura, Nn, N'Konga, B, Nabais, F, Naish, R, Naish, J, Nakano, T, Napoli, F, Nardon, E, Naulin, V, Nave, Mff, Nedzelskiy, I, Nemtsev, G, Nesenevich, V, Nespoli, F, Neto, A, Neu, R, Neverov, V, Newman, M, Ng, S, Nicassio, M, Nielsen, Ah, Nina, D, Nishijima, D, Noble, C, Nobs, Cr, Nocente, M, Nodwell, D, Nordlund, K, Nordman, H, Normanton, R, Noterdaeme, Jm, Nowak, S, Nunes, I, O'Gorman, T, O'Mullane, M, Oberkofler, M, Oberparleiter, M, Odupitan, T, Ogawa, Mt, Okabayashi, M, Oliver, H, Olney, R, Omoregie, L, Ongena, J, Orsitto, F, Orszagh, J, Osborne, T, Otin, R, Owen, A, Owen, T, Paccagnella, R, Packer, Lw, Pajuste, E, Pamela, S, Panja, S, Papp, P, Papp, G, Parail, V, Pardanaud, C, Diaz, Fp, Parsloe, A, Parsons, N, Parsons, M, Pasqualotto, R, Passeri, M, Patel, A, Pathak, S, Patten, H, Pau, A, Pautasso, G, Pavlichenko, R, Pavone, A, Pawelec, E, Soldan, Cp, Peackoc, A, Pehkonen, Sp, Peluso, E, Penot, C, Penzo, J, Pepperell, K, Pereira, R, Cippo, Ep, von Thun, Cp, Pericoli, V, Peruzzo, S, Peterka, M, Petersson, P, Petravich, G, Petre, A, Petrzilka, V, Philipps, V, Pigatto, L, Pillon, M, Pinches, S, Pintsuk, G, Piovesan, P, de Sa, Wp, dos Reis, Ap, Piron, L, Piron, C, Pironti, A, Pisano, F, Pitts, R, Plyusnin, V, Poli, Fm, Pomaro, N, Pompilian, Og, Pool, P, Popovichev, S, Poradzinski, M, Porfiri, Mt, Porosnicu, C, Porton, M, Possnert, G, Potzel, S, Poulipoulis, G, Powell, T, Prajapati, V, Prakash, R, Predebon, I, Prestopino, G, Price, D, Price, M, Price, R, Primetzhofer, D, Prior, P, Pucella, G, Puglia, P, Puiatti, Me, Purahoo, K, Pusztai, I, Putterich, T, Rachlew, E, Rack, M, Ragona, R, Rainford, M, Raj, P, Rakha, A, Ramogida, G, Ranjan, S, Rapson, Cj, Rasmussen, D, Rasmussen, Jj, Rathod, K, Ratta, G, Ratynskaia, S, Ravera, G, Rebai, M, Reed, A, Refy, D, Regana, J, Reich, M, Reid, N, Reimold, F, Reinhart, M, Reinke, M, Reiser, D, Rendell, D, Reux, C, Cortes, Sdar, Reynolds, S, Ricci, D, Richiusa, M, Rigamonti, D, Rimini, Fg, Risner, J, Riva, M, Rivero-Rodriguez, J, Roach, C, Robins, R, Robinson, S, Robson, D, Rodionov, R, Rodrigues, P, Rodriguez, J, Rohde, V, Romanelli, M, Romanelli, F, Romanelli, S, Romazanov, J, Rowe, S, Rubel, M, Rubinacci, G, Rubino, G, Ruchko, L, Ruset, C, Rzadkiewicz, J, Saarelma, S, Sabot, R, Saez, X, Safi, E, Sahlberg, A, Saibene, G, Saleem, M, Salewski, M, Salmi, A, Salmon, R, Salzedas, F, Samm, U, Sandiford, D, Santa, P, Santala, Mik, Santos, B, Santucci, A, Sartori, F, Sartori, R, Sauter, O, Scannell, R, Schluck, F, Schlummer, T, Schmid, K, Schmuck, S, Schopf, K, Schweinzer, J, Schworer, D, Scott, Sd, Sergienko, G, Sertoli, M, Shabbir, A, Sharapov, Se, Shaw, A, Sheikh, H, Shepherd, A, Shevelev, A, Shiraki, D, Shumack, A, Sias, G, Sibbald, M, Sieglin, B, Silburn, S, Silva, J, Silva, A, Silva, C, Silvagni, D, Simmons, P, Simpson, J, Sinha, A, Sipila, Sk, Sips, Acc, Siren, P, Sirinelli, A, Sjostrand, H, Skiba, M, Skilton, R, Skvara, V, Slade, B, Smith, R, Smith, P, Smith, Sf, Snoj, L, Soare, S, Solano, Er, Somers, A, Sommariva, C, Sonato, P, Sos, M, Sousa, J, Sozzi, C, Spagnolo, S, Sparapani, P, Spelzini, T, Spineanu, F, Sprada, D, Sridhar, S, Stables, G, Stallard, J, Stamatelatos, I, Stamp, Mf, Stan-Sion, C, Stancar, Z, Staniec, P, Stankunas, G, Stano, M, Stavrou, C, Stefanikova, E, Stepanov, I, Stephen, Av, Stephen, M, Stephens, J, Stevens, B, Stober, J, Stokes, C, Strachan, J, Strand, P, Strauss, Hr, Strom, P, Studholme, W, Subba, F, Suchkov, E, Summers, Hp, Sun, H, Sutton, N, Svensson, J, Sytnykov, D, Szabolics, T, Szepesi, G, Suzuki, Tt, Tabares, F, Tadic, T, Tal, B, Tala, T, Taliercio, C, Tallargio, A, Tanaka, K, Tang, W, Tardocchi, M, Tatali, R, Taylor, D, Tegnered, D, Telesca, G, Teplova, N, Teplukhina, A, Terranova, D, Terry, C, Testa, D, Tholerus, E, Thomas, J, Thompson, Vk, Thornton, A, Tierens, W, Tiseanu, I, Tojo, H, Tokitani, M, Tolias, P, Tomes, M, Trimble, P, Tripsky, M, Tsalas, M, Tsavalas, P, Tskhakaya, D, Jun, Dt, Turner, I, Turner, Mm, Turnyanskiy, M, Tvalashvili, G, Tyshchenko, M, Uccello, A, Uljanovs, J, Urano, H, Urban, A, Urbanczyk, G, Uytdenhouwen, I, Vadgama, A, Valcarcel, D, Vale, R, Valentinuzzi, M, Valerii, K, Valisa, M, Olivares, Pv, Valovic, M, Van Eester, D, Van Renterghem, W, van Rooij, Gj, Varje, J, Vartanian, S, Vasava, K, Vasilopoulou, T, Vecsei, M, Vega, J, Ventre, S, Verdoolaege, G, Verona, C, Rinati, Gv, Veshchev, E, Vianello, N, Vicente, J, Viezzer, E, Villari, S, Villone, F, Vincent, M, Vincenzi, P, Vinyar, I, Viola, B, Vitins, A, Vizvary, Z, Vlad, M, Voitsekhovitch, I, Voltolina, D, von Toussaint, U, Vondracek, P, Vuksic, M, Wakeling, B, Waldon, C, Walkden, N, Walker, R, Walker, M, Walsh, M, Wang, N, Wang, E, Warder, S, Warren, R, Waterhouse, J, Watts, C, Wauters, T, Webb, M, Weckmann, A, Weiland, J, Weiland, M, Weisen, H, Weiszflog, M, Welch, P, West, A, Wheatley, M, Wheeler, S, Whitehead, Am, Whittaker, D, Widdowson, Am, Wiesen, S, Wilkie, G, Williams, J, Willoughby, D, Wilson, J, Wilson, I, Wilson, Hr, Wischmeier, M, Withycombe, A, Witts, D, Wolfrum, E, Wood, R, Woodley, R, Woodley, C, Wray, S, Wright, Jc, Wright, P, Wukitch, S, Wynn, A, Xiang, L, Xu, T, Xue, Y, Yadikin, D, Yakovenko, Y, Yanling, W, Yavorskij, V, Young, I, Young, R, Young, D, Zacks, J, Zagorski, R, Zaitsev, F, Zakharov, L, Zanino, R, Zarins, A, Zarins, R, Fernandez, Dz, Zastrow, Kd, Zerbini, M, Zhang, W, Zhou, Y, Zilli, E, Zocco, A, Zoita, V, Zoletnik, S, Zwingmann, W, Zychor, I, and JET Contributors
Subjects: Tokamak, Plasma turbulence, Extrapolation, turbulence, transport, plasma, JET, 7. Clean energy, 01 natural sciences, 010305 fluids & plasmas, law.invention, law, Physics::Plasma Physics, jet, 0103 physical sciences, 010306 general physics, plasma, Physics, Shearing (physics), [PHYS]Physics [physics], Turbulence, Plasma, Mechanics, JET, Condensed Matter Physics, Nuclear Energy and Engineering, Pinch
Abstract: See also: Plasma Physics and Controlled Fusion, 61, 104002 (2019)Special Issue on the 2018 Joint Varenna-Lausanne International Workshop on the Theory of Fusion Plasmas; International audience; Developing successful tokamak operation scenarios, as well as confident extrapolation of present-day knowledge requires a rigorous understanding of plasma turbulence, which largely determines the quality of the confinement. In particular, accurate particle transport predictions are essential due to the strong dependence of fusion power or bootstrap current on the particle density details. Here, gyrokinetic turbulence simulations are performed with physics inputs taken from a JET power scan, for which a relatively weak degradation of energy confinement and a significant density peaking is obtained with increasing input power. This way physics parameters that lead to such increase in the density peaking shall be elucidated. While well-known candidates, such as the collisionality, previously found in other studies are also recovered in this study, it is furthermore found that edge $E×B$ shearing may adopt a crucial role by enhancing the inward pinch. These results may indicate that a plasma with rotational shear could develop a stronger density peaking as compared to a non-rotating one, because its inward convection is increased compared to the outward diffusive particle flux as long as this rotation has a significant on $E$X$B$ flow shear stabilisation. The possibly significant implications for future devices, which will exhibit much less torque compared to present day experiments, are discussed.

25. Calculation and Feedback of Risk-Adjusted Antibiotic Days as a Process Measure in a Statewide Trauma Collaborative.

Author: Sangji NF, Dougherty JM, Tignanelli CJ, Maqsood HA, Cain-Nielsen AH, Oliphant BW, and Hemmila MR
Subjects: Humans, Benchmarking, Wounds and Injuries, Female, Male, Anti-Bacterial Agents therapeutic use, Trauma Centers, Antimicrobial Stewardship, Risk Adjustment methods
Abstract: Background: Optimization of antibiotic stewardship requires determining appropriate antibiotic treatment and duration of use. Our current method of identifying infectious complications alone does not attempt to measure the resources actually utilized to treat infections in patients. We sought to develop a method accounting for treatment of infections and length of antibiotic administration to allow benchmarking of trauma hospitals with regard to days of antibiotic use., Methods: Using trauma quality collaborative data from 35 American College of Surgeons (ACS)-verified level I and level II trauma centers between November 1, 2020, and January 31, 2023, a two-part model was created to account for (1) the odds of any antibiotic use, using logistic regression; and (2) the duration of usage, using negative binomial distribution. We adjusted for injury severity, presence/type of infection (eg, ventilator-acquired pneumonia), infectious complications, and comorbid conditions. We performed observed-to-expected adjustments to calculate each center's risk-adjusted antibiotic days, bootstrapped Observed/Expected (O/E) ratios to create confidence intervals, and flagged potential high or low outliers as hospitals whose confidence intervals lay above or below the overall mean., Results: The mean antibiotic treatment days was 1.98°days with a total of 88,403 treatment days. A wide variation existed in risk-adjusted antibiotic treatment days (.76°days to 2.69°days). Several hospitals were identified as low (9 centers) or high (6 centers) outliers., Conclusion: There exists a wide variation in the duration of risk-adjusted antibiotic use amongst trauma centers. Further study is needed to address the underlying cause of variation and for improved antibiotic stewardship., Competing Interests: Competing InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Anne H. Cain-Nielsen and Mark R. Hemmila receive salary support from Blue Cross Blue Shield of Michigan and Blue Care Network (a nonprofit mutual company) through grant funding of the Michigan Trauma Quality Improvement Program and from the Michigan Department of Health and Human Services through grant funding of the Michigan Trauma Quality Improvement Program. The remaining authors have no conflicts to disclose.
Published: 2024
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26. A window of opportunity for ICU end-of-life care-A retrospective multicenter cohort study.

Author: Darfelt IS, Nielsen AH, Klepstad P, and Neergaard MA
Subjects: Humans, Male, Female, Retrospective Studies, Aged, Middle Aged, Denmark, Cohort Studies, Respiration, Artificial statistics & numerical data, Aged, 80 and over, Critical Care, Adult, Terminal Care, Intensive Care Units
Abstract: Background: The "window of opportunity" for intensive care staff to deliver end-of-life (EOL) care lies in the timeframe from "documenting the diagnosis of dying" to death. Diagnosing the dying can be a challenging task in the ICU. We aimed to describe the trajectories for dying patients in Danish intensive care units (ICUs) and to examine whether physicians document that patients are dying in time to perform EOL care and, if so, when a window of opportunity for EOL care exists., Methods: From the Danish Intensive Care Database, we identified patients ≥18 years old admitted to Danish ICUs between January and December 2020 with an ICU stay of >96 h (four days) and who died during the ICU stay or within 7 days after ICU discharge. A chart review was performed on 250 consecutive patients admitted from January 1, 2020, to ICUs in the Central Denmark Region., Results: In most charts (223 [89%]), it was documented that the patient was dying. Of those patients who received mechanical ventilation, 171 (68%) died after abrupt discontinuation of mechanical ventilation, and 63 (25%) died after gradual withdrawal. Patients whose mechanical ventilation was discontinued abruptly died after a median of 1 h (interquartile range [IQR]: 0-15) and 5 h (IQR: 2-15) after a diagnosis of dying was recorded. In contrast, patients with a gradual withdrawal died after a median of 108 h (IQR: 71-189) and 22 h (IQR: 5-67) after a diagnosis of dying was recorded., Conclusions: EOL care hinges on the ability to diagnose the dying. This study shows that there is a window of opportunity for EOL care, particularly for patients who are weaned from mechanical ventilation. This highlights the importance of intensifying efforts to address EOL care requirements for ICU patients and those discharged from ICUs who are not eligible for readmission., (© 2024 The Author(s). Acta Anaesthesiologica Scandinavica published by John Wiley & Sons Ltd on behalf of Acta Anaesthesiologica Scandinavica Foundation.)
Published: 2024
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27. Scandinavian healthcare professionals' perceptions of rehabilitation practices in the intensive care unit. A cross-sectional survey.

Author: Nielsen AH, Lind R, Åkerman E, Ågård AS, Collet MO, Alfheim HB, Holm A, and Svenningsen H
Abstract: Objective: To describe healthcare professionals' perception of current early rehabilitation practices and their preconditions, focusing on functional and cognitive stimulation facilitated by nurses and other healthcare professionals in Scandinavian intensive care units (ICUs)., Design: Cross-sectional electronic survey administered to healthcare professionals. The survey was developed in Danish, translated into Norwegian and Swedish, and delivered using Google Forms. The qualitative data were analysed using the framework method., Setting: Scandinavian ICUs., Results: Practices facilitated by nurses and other healthcare professionals in the ICU often began with weaning from the ventilator and reducing sedation. This was followed by increased mobilisation and building physical strength. There was attention to optimising nutrition, swallowing function, and oral intake. Enabling communication and employing cognitively stimulating activities and bodily stimulation to engage the patient's mind were also framed as rehabilitation. To avoid delirium and overexertion, it was important to balance rest and activity and to shield the patient from unnecessary stimulation. Furthermore, it was important to support the patient's will to live and to involve the family in rehabilitation. Post-discharge rehabilitation activities included reaching out to patients discharged to wards and homes., Conclusion: Rehabilitation was described as progressing from passive to active as patients gained consciousness and strength. Weaning, balancing rest and activity, supporting the patient's life courage and will to recover, open visitation policies, and multi-professional collaboration were important prerequisites for rehabilitation., Implications for Practice: All aspects of patient care can function as important opportunities for physical and cognitive rehabilitation. Balancing rest and activity is important for conserving the patient's energy for rehabilitation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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28. Normalization of Fetal Cerebral and Hepatic Iron by Parental Iron Therapy to Pregnant Rats with Systemic Iron Deficiency without Anemia.

Author: Burkhart A, Johnsen KB, Skjørringe T, Nielsen AH, Routhe LJ, Hertz S, Møller LB, Thomsen LL, and Moos T
Subjects: Animals, Female, Pregnancy, Rats, Copper metabolism, Brain metabolism, Brain drug effects, Fetus metabolism, Fetus drug effects, Cation Transport Proteins metabolism, Cation Transport Proteins genetics, Disaccharides, Zinc deficiency, Zinc administration & dosage, Rats, Wistar, Anemia, Iron-Deficiency drug therapy, Liver metabolism, Iron metabolism, Iron Deficiencies, Hepcidins metabolism
Abstract: Background/objectives: Iron (Fe) is a co-factor for enzymes of the developing brain necessitating sufficient supply. We investigated the effects of administering ferric derisomaltose/Fe isomaltoside (FDI) subcutaneously to Fe-deficient (ID) pregnant rats on cerebral and hepatic concentrations of essential metals and the expression of iron-relevant genes., Methods: Pregnant rats subjected to ID were injected with FDI on the day of mating (E0), 14 days into pregnancy (E14), or the day of birth (postnatal (P0)). The efficacy was evaluated by determination of cerebral and hepatic Fe, copper (Cu), and zinc (Zn) and gene expression of ferroportin, hepcidin, and ferritin H + L in pups on P0 and as adults on P70., Results: Females fed an ID diet (5.2 mg/kg Fe) had offspring with significantly lower cerebral and hepatic Fe compared to female controls fed a standard diet (158 mg/kg Fe). Cerebral Cu increased irrespective of supplying a standard diet or administering FDI combined with the standard diet. Hepatic hepcidin mRNA was significantly lower following ID. Cerebral hepcidin mRNA was hardly detectable irrespective of iron status., Conclusions: In conclusion, administering FDI subcutaneously to ID pregnant rats on E0 normalizes fetal cerebral and hepatic Fe. When applied at later gestational ages, supplementation with additional Fe to the offspring is needed to normalize cerebral and hepatic Fe.
Published: 2024
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29. What Matters to Patients on the Day of Surgery-A Flash Mob Study.

Author: Gamst-Jensen H, Brix LD, Madsen TMN, Olsen SW, Geisler A, Egelund A, Thomsen T, Buch B, Veedfald L, Hansen CLSF, and Nielsen AH
Abstract: Purpose: To explore what matters to patients on the day of surgery, to describe how a flash mob study was conducted in a perioperative setting and to provide recommendations for future studies adopting the flash mob design., Design: Flash mob study., Methods: On June 6 to June 7, 2023, a 24-hour flash mob study was carried out in eight Danish perioperative units. Eligible for inclusion were adult patients scheduled for elective or acute surgery. After giving informed consent, patients answered two qualitative questions: what mattered to them on the day of surgery, and whether the staff were aware of this. Data were analyzed using content analysis. Patient characteristics were presented using descriptive statistics., Findings: Patients expressed a need to feel safe and cared for, be informed, and to receive proper anesthesia and postoperative care. Twenty-nine percent had not told health care staff, most often because they had not been asked about what mattered to them and because they did not want to be a nuisance., Conclusions: The flash mob study was feasible and provided insight into patients' perspectives on the day of surgery. To gain insight into what matters on the day of surgery, health care professionals must actively ask patients. Furthermore, the flash mob proved to be an opportunity to create attention to what matters to patients on the day of surgery., Competing Interests: Declaration of Competing Interest All authors declare no conflict of interest., (Copyright © 2024 The American Society of PeriAnesthesia Nurses. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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30. "What matters to you" on the day of surgery: Protocol for a mixed methods study.

Author: Gamst-Jensen H, Villumsen BR, Nielsen AH, Egerod I, and Brix LD
Subjects: Humans, Surveys and Questionnaires, Denmark, Anesthesia methods, Research Design, Surgical Procedures, Operative, Anxiety psychology, Fear psychology
Abstract: Background: The anticipation of anesthesia and surgery is the source of fear and anxiety in millions of patients worldwide. Although patients' fear and anxiety are recognized, more knowledge is needed to address patient responses and needs. Understanding the needs of the patients are important, and asking patients directly is the first step towards addressing these needs. This again might help reducing medications such as anesthetics and postoperative pain relief. The aim of this study protocol is to describe how we will investigate what matters to patients on the day of surgery, as well as their degree-of-worry and surgical fear., Methods: Using a convergent mixed methods design with equal weighting of the qualitative and quantitative data strand we take advantage of the international "What Matters To You" Day on June 6, 2024 to conduct a flash mob study. We will approach perioperative departments around Denmark to participate and eligible patients arriving to the perioperative department for surgery will be invited to participate. Consenting patients are asked to complete a survey in three parts regarding (1) what matters to you, (2) degree-of-worry, and (3) surgical fear. We will use qualitative analysis for the first part and descriptive statistics for second and third parts. The data strands will be analyzed separately followed by integrated analysis and joint displays., (© 2024 The Authors. Acta Anaesthesiologica Scandinavica published by John Wiley & Sons Ltd on behalf of Acta Anaesthesiologica Scandinavica Foundation.)
Published: 2024
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31. Establishing consensus on patient- and family-centered care in adult intensive care units: A Delphi survey.

Author: Bohart S, Nielsen AH, Sørensen JL, Andreasen AS, Waldau T, Møller AM, and Thomsen T
Subjects: Humans, Adult, Female, Male, Denmark, Surveys and Questionnaires, Middle Aged, Family, Delphi Technique, Intensive Care Units organization & administration, Intensive Care Units standards, Patient-Centered Care organization & administration, Consensus
Abstract: Purpose: To establish consensus between intensive care unit (ICU) experts on concrete patient- and family-centered care statements for adult patients and relatives in the ICU., Materials and Methods: We did a three-round Delphi survey with a panel of ICU health care professionals from 23 ICUs in Denmark. In round 1, participants answered 20 open-ended questions, based on existing evidence. Analysis of their responses generated close-ended statements, which participants primary rated on a five-point-Likert-scale, from very important to not important at all. In rounds 2 and 3., consensus was predefined as ≥75% of participants rating a statement important., Results: Sixty-nine participated: 38 nurses, 24 physicians, and four occupational and physiotherapists. In total 96%, 90% and 72% answered the first, second, and third rounds, respectively. In round 1, participants answers resulted in >3000 statements that were analyzed into 82 condensed statements. After participants rated the statements in round 2 and 3, 47 statements reached consensus as important., Conclusions: The 47 statements rated to be important included interdisciplinary approaches to systematic information sharing and consultations with patients and family-members, with the aim being to accommodate patients and family-members´ individual needs throughout the ICU stay., Competing Interests: Declaration of competing interest None., (Copyright © 2023. Published by Elsevier Inc.)
Published: 2024
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32. Nurse-led dysphagia screening in the intensive care unit - An implementation study.

Author: Nielsen AH, Winding R, Busk BH, Noe L, Husted B, Kristensen GJ, Svenningsen H, and Ovesen T
Abstract: Background: Postextubation is common in the intensive care unit, and bedside screening by nurses is important to detect the condition and avoid aspiration to the airways., Objective: The objective of this study was to assess the implementation of nurse-led, systematic dysphagia screening in the intensive care unit and to identify barriers and facilitators for dysphagia screening., Methods: Design: pragmatic implementation study. Based on a programme theory, key behaviours were identified using the Behaviour Change Wheel framework. Implementation activities included education, e-learning, bedside peer support, feedback, and cues in the environment. Data sources included chart reviews, participant logs, implementation log and focus-group interviews., Results: Participant logs showed 94% of nurses participated in educational sessions, less in e-learning (67%). Chart reviews showed very little use of nurse-led dysphagia screening. Only 19% of extubated patients followed screening protocol. Focus groups showed that nurses accepted the Yale Swallow Protocol as valid that new skills and understandings led to empowerment of nurses and aided decision making. Important barriers were keeping patients nil-per-mouth for intubation, lack of social support from other professionals, and difficulties with documentation. Facilitators were social support from colleagues., Conclusion: Implementation of nurse-led screening in intensive care was possible but challenged by external factors. Attention should be given to alterations of the screening protocol to avoid alteration of the instrument and easy documentation. Implementation of nurse-led dysphagia screening in intensive care may facilitate safe oral intake in patients and identify patients in need of specialised assessment. Implementation should aim to provide nurses with competences in screening patients swallowing function and allow contextualisation without altering the properties of the instrument., (Copyright © 2024 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved.)
Published: 2024
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33. Remember sustainability when identifying low-value clinical care practices in critical care.

Author: Nielsen AH, Oxenbøll Collet M, Lind R, and Jensen JF
Published: 2024
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34. Variation in Risk-Adjusted Ventilator-Associated Pneumonia Days Within a Quality Collaborative.

Author: Sangji NF, Dougherty JM, Maqsood HA, Cain-Nielsen AH, Lussiez A, Zondlak A, Scott JW, and Hemmila MR
Subjects: Humans, Michigan epidemiology, Male, Female, Middle Aged, Adult, Risk Adjustment methods, Aged, Respiration, Artificial statistics & numerical data, Respiration, Artificial adverse effects, Pneumonia, Ventilator-Associated epidemiology, Pneumonia, Ventilator-Associated prevention & control, Pneumonia, Ventilator-Associated etiology, Quality Improvement, Trauma Centers statistics & numerical data
Abstract: Introduction: Ventilator-associated pneumonia (VAP) is associated with increased mortality, prolonged mechanical ventilation, and longer intensive care unit stays. The rate of VAP (VAPs per 1000 ventilator days) within a hospital is an important quality metric. Despite adoption of preventative strategies, rates of VAP in injured patients remain high in trauma centers. Here, we report variation in risk-adjusted VAP rates within a statewide quality collaborative., Methods: Using Michigan Trauma Quality Improvement Program data from 35 American College of Surgeons-verified Level I and Level II trauma centers between November 1, 2020 and January 31, 2023, a patient-level Poisson model was created to evaluate the risk-adjusted rate of VAP across institutions given the number of ventilator days, adjusting for injury severity, physiologic parameters, and comorbid conditions. Patient-level model results were summed to create center-level estimates. We performed observed-to-expected adjustments to calculate each center's risk-adjusted VAP days and flagged outliers as hospitals whose confidence intervals lay above or below the overall mean., Results: We identified 538 VAP occurrences among a total of 33,038 ventilator days within the collaborative, with an overall mean of 16.3 VAPs per 1000 ventilator days. We found wide variation in risk-adjusted rates of VAP, ranging from 0 (0-8.9) to 33.0 (14.4-65.1) VAPs per 1000 d. Several hospitals were identified as high or low outliers., Conclusions: There exists significant variation in the rate of VAP among trauma centers. Investigation of practices and factors influencing the differences between low and high outlier institutions may yield information to reduce variation and improve outcomes., (Copyright © 2024 Elsevier Inc. All rights reserved.)
Published: 2024
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35. Every breath you take: High concentration of breathable microplastics in indoor environments.

Author: Maurizi L, Simon-Sánchez L, Vianello A, Nielsen AH, and Vollertsen J
Subjects: Humans, Environmental Monitoring methods, Air Pollutants analysis, Spectrum Analysis, Raman, Masks, Air Pollution, Indoor analysis, Air Pollution, Indoor statistics & numerical data, Microplastics analysis
Abstract: The widespread presence of microplastics (MPs) in the air and their potential impact on human health underscore the pressing need to develop robust methods for quantifying their presence, particularly in the breathable fraction (<5 μm). In this study, Raman micro-spectroscopy (μRaman) was employed to assess the concentration of indoor airborne MPs >1 μm in four indoor environments (a meeting room, a workshop, and two apartments) under different levels of human activity. The indoor airborne MP concentration spanned between 58 and 684 MPs per cubic meter (MP m -3 ) (median 212 MP m -3 , MPs/non-plastic ratio 0-1.6%), depending not only on the type and level of human activity, but also on the surface area and air circulation of the investigated locations. Additionally, we assessed in the same environments the filtration performance of a type IIR surgical facemask, which could overall retain 85.4 ± 3.9% of the MPs. We furthermore estimated a human MP intake from indoor air of 3415 ± 2881 MPs day -1 (mostly poly-amide MPs), which could be decreased to 283 ± 317 MPs day -1 using the surgical facemask. However, for the breathable fraction of MPs (1-5 μm), the efficiency of the surgical mask was reduced to 57.6%., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Luca Maurizi reports financial support was provided by Horizon Europe., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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36. Postextubation dysphagia management in Danish intensive care units: A national survey.

Author: Nielsen AH, Kaldan G, Gade LM, and Egerod I
Subjects: Humans, Denmark, Cross-Sectional Studies, Intubation, Intratracheal adverse effects, Surveys and Questionnaires, Deglutition Disorders therapy, Deglutition Disorders etiology, Airway Extubation adverse effects, Intensive Care Units
Abstract: Background: Postextubation dysphagia (PED) is a common complication to endotracheal intubation in critically ill patients and may lead to pneumonia, prolonged ventilation, longer hospital stays, and increased mortality. Recognizing dysphagia is paramount to preventing adverse events. The aim of this study was to describe PED management by investigating practice in Danish intensive care units (ICUs) focusing on current practice in 2023 (screening, prevention, and treatment), perceived best practice (barriers and facilitators), and when possible, to compare practice in 2017 and 2023., Methods: Self-reported, cross-sectional survey of dysphagia practice in Danish ICUs administered from April to May 2023. In addition, data were compared with the 2017 Dysphagia in Intensive Care Evaluation study, when possible., Results: Only half of Danish ICUs reported to have a PED protocol, and less than half routinely screen patients for dysphagia after extubation. Most common screening methods were the oral mechanism examination, water test, and Facio-oral tract therapy. Nurses and physicians often relied on an overall physical assessment of the patient. Best treatment methods were uniformly agreed to be patient positioning, modification of food and fluids, use of ergonomic utensils, and compensatory maneuvers. Key barriers to dysphagia management were lack of specialized staff, under-recognition of dysphagia as a health issue, and lack of standardized protocols., Conclusion: Awareness of PED is increasing and identification, prevention, and treatment is slowly improving, but systematic implementation of protocols for dysphagia screening and treatment could enhance dysphagia management in Danish ICUs., (© 2024 The Authors. Acta Anaesthesiologica Scandinavica published by John Wiley & Sons Ltd on behalf of Acta Anaesthesiologica Scandinavica Foundation.)
Published: 2024
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37. How flash mobs can be used for data collection in healthcare? A scoping review protocol.

Author: Gamst-Jensen H, Brix LD, Collet MO, and Nielsen AH
Subjects: Humans, Research Design, Delivery of Health Care, Health Services Research, Internet, Review Literature as Topic, Data Collection methods
Abstract: Background: Traditional research methods often involve a lengthy process, but the emergence of flash mobs as an innovative data collection method offers the potential to gather substantial data within a short time frame. Flash mobs draw inspiration from the concept of large groups organizing through the internet or mobile devices to perform a prearranged action in public. In healthcare research, flash mobs serve as research organizing method to investigate clinically relevant questions on a large scale within a limited period., Aims: This study aims to present a study protocol for a scoping review that comprehensively maps the existing literature on the use of flash mobs as a data collection method in healthcare research., Methods: The review will follow established guidelines and include steps such as identifying the research question, identifying relevant studies, selecting studies, charting the data, and collating and summarizing the results. The review will utilize databases, manual screening of additional sources, and covidence for study selection and data charting. The findings will be summarized using descriptive statistics and a descriptive synthesis of qualitative data. The review protocol has been registered with the Open Science Framework., Results: The results of this scoping review will provide insights into different flash mob designs, motivations, and the data collection process, contributing to the development of high-quality flash mob data collections in healthcare research., (© 2024 The Authors. Acta Anaesthesiologica Scandinavica published by John Wiley & Sons Ltd on behalf of Acta Anaesthesiologica Scandinavica Foundation.)
Published: 2024
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38. Treating wastewater for microplastics to a level on par with nearby marine waters.

Author: Chand R, Iordachescu L, Bäckbom F, Andreasson A, Bertholds C, Pollack E, Molazadeh M, Lorenz C, Nielsen AH, and Vollertsen J
Subjects: Sweden, Spectroscopy, Fourier Transform Infrared, Sewage chemistry, Water Purification methods, Microplastics analysis, Wastewater chemistry, Waste Disposal, Fluid methods, Water Pollutants, Chemical analysis, Seawater chemistry
Abstract: Retention of microplastics (MPs) at the third largest wastewater treatment plant (WWTP) in Sweden was investigated. The plant is one of the most modern and advanced of its kind, with rapid sand filter for tertiary treatment in combination with mechanical, biological, and chemical treatment. It achieved a significantly high treatment efficiency, which brought the MP concentration in its discharge on par with concentrations measured in marine waters of the same region. This novel data shows that properly designed modern WWTPs can reduce the MP content of sewage down to background levels measured in the receiving aquatic environment. Opposite to current understanding of the retention of MP by WWTPs, a modern and well-designed WWTP does not have to be a significant point source for MP. MPs were quantified at all major treatment steps, including digester inlet and outlet sludge. MPs sized 10-500 µm were analyzed by a focal plane array based micro-Fourier transform infrared (FPA-µFTIR) microscopy, a hyperspectral imaging technique, while MPs above 500 µm were analyzed by Attenuated Total Reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy. Mass was estimated from the hyperspectral images for MPs <500 µm and from microscope images >500 µm. The overall treatment efficiency was in terms of MP counts 99.98 %, with a daily input of 6.42 × 10 10 and output of 1.04 × 10 7 particles. The mass removal efficiency was 99.99 %. The mechanical part of the treatment, the pre-treatment, and primary stages, reduced both the MP counts and mass by approximately 71 %. The combined biological treatment, secondary settling, and final polishing with rapid sand filtration removed nearly all the remaining 29 %. MPs became successively smaller as they passed the different treatment steps. The digester inlet received 1.04 × 10 11 MPs daily, while it discharged 9.96 × 10 10 MPs, causing a small but not significant decrease in MP counts, with a corresponding MP mass reduction of 9.56 %., Competing Interests: Declaration of competing interest The authors declare no competing interest., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Published: 2024
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39. Delirium and delirium severity screening in the intensive care-correspondence of screenings tools.

Author: Collet MO, Nielsen AH, Larsen LK, Laerkner E, Jensen JF, Mortensen CB, Lehmkuhl L, Thorn L, Rossen BS, Nielsen TA, Laursen E, Shiv LH, Villumsen M, Rahr MN, and Svenningsen H
Subjects: Adult, Aged, Female, Humans, Male, Critical Care methods, Hospitalization, Intensive Care Units, Prospective Studies, Delirium diagnosis
Abstract: Background: Delirium severity scores are gaining acceptance for measuring delirium in the intensive care unit (ICU)., Objective: The aim of this study was to evaluate the concordance between the Confusion Assessment Method for the intensive care unit (CAM-ICU)-7 and the Intensive Care Delirium Screening Checklist (ICDSC) as delirium severity measurement tools., Methods: This was a prospective, comparative, observational multicentre study. This study was conducted in 18 Danish ICUs. Delirium was assessed in adult critically ill patients admitted to an ICU with a Richmond Agitation and Sedation Score (RASS) of -2 or above. ICU nurses assessed delirium with randomised paired delirium screening instruments, using the CAM-ICU, the ICDSC, and the CAM-ICU-7. The correlation between the CAM-ICU-7 and the ICDSC severity scores was evaluated for all predefined patient subgroups., Results: A total of 1126 paired screenings were conducted by 127 ICU nurses in 850 patients. The patients' median age was 70 years (interquartile range: 61-77), 40% (339/850) were female, and 54% (457/850) had at least one positive delirium score. Delirium severity ranges (CAM-ICU-7: 0-7; and ICDSC: 0-8) were positively correlated (Pearson's correlation coefficient, r = 0.83; p < 0.0001). The overall agreement between the CAM-ICU-7 and the ICDSC for delirium measurement (CAM-ICU-7: >2, and ICDSC: >3) was substantial (kappa = 0.74), but the agreement decreased to fair (kappa = 0.38) if a patient had a RASS less than 0., Conclusions: The agreement between the CAM-ICU-7 and the ICDSC for delirium severity measurement was substantial but might be affected by the patient's sedation and agitation level at the time of assessment., Implications for Practice: Both CAM-ICU-7 and ICDSC can be implemented for delirium severity measurement. Attention is warranted in both scores if a patient has a RASS of -2., Competing Interests: Conflict of interest The authors have no known competing interests for this manuscript. All authors have contributed substantially to the draughting of the protocol, data collection, data analyses, and interpretation of the results. All authors have critically revised this manuscript and approved this version for submission for publication. The Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Denmark, has received funding from Novo Nordisk Fonden (0072048) for another research project. The Department of Anesthesiology and Intensive Care, Gødstrup Hospital received funding from Novo Nordisk Fonden (19OC0058277) for another research project., (Copyright © 2023 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved.)
Published: 2024
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40. Cascades of Parametric Instabilities in the Tokamak Plasma Edge during Electron Cyclotron Resonance Heating.

Author: Clod A, Senstius MG, Nielsen AH, Ragona R, Thrysøe AS, Kumar U, Coda S, and Nielsen SK
Abstract: We report observations of nonlinear two-plasmon decay instabilities (TPDIs) of a high-power microwave beam, a process similar to half-harmonic generation in optics, during electron cyclotron resonance heating in a tokamak. TPDIs are found to occur regularly in the plasma edge due to wave trapping in density fluctuations for various confinement modes, and the frequencies of both observed daughter waves agree with modeling. Emissions from a cascade of subsequent decays, which indicate a generation of ion Bernstein waves, are correlated with fast-ion generation. This emphasizes the limitations of standard linear microwave propagation models and possibly paves the way for novel microwave applications in plasmas.
Published: 2024
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41. Zeolite Imidazolate Frameworks-8@SiO 2 -ZrO 2 Crystal-Amorphous Hybrid Core-Shell Structure as a Building Block for Water Purification Membranes.

Author: Chen X, Boffa V, Ma X, Magnacca G, Calza P, Wang D, Meng F, Nielsen AH, Deganello F, Li K, and Yue Y
Abstract: Metal-organic frameworks (MOFs) are emerging as promising materials for water purification membranes, owing to their uniform microporous structures and chemical functionalities. Here, we report a simple procedure for depositing MOF-based nanofiltration membranes on commercial TiO 2 ceramic tubular supports, completely avoiding the use of dispersants or binders. Zeolite imidazolate frameworks-8 (ZIF-8) nanocrystals were synthesized in methanol at room temperature and subsequently coated with an amorphous SiO 2 -ZrO 2 gel to generate a dispersion of ZIF-8@SiO 2 -ZrO 2 core-shell nanoparticles. The amorphous SiO 2 -ZrO 2 gel served as a binding agent for the ZIF-8 nanocrystals, thus forming a defect-free continuous membrane layer. After repeating the coating twice, the active layer had a thickness of 0.96 μm, presenting a rejection rate >90% for the total organic carbon in an aquaculture effluent and in a wastewater treatment plant, while reducing the concentration of trimethoprim, here used as a target pollutant. Moreover, the oxide gel provided the MOF-based active layer with good adhesion to the support and enhanced its hydrophilicity, resulting in a membrane with excellent mechanical stability and resistance to fouling during the crossflow filtration of the real wastewater samples. These results implied the high potential of the MOF-based nanocomposite membrane for effective treatment of actual wastewater streams.
Published: 2024
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42. Linking Trauma Registry Patients With Insurance Claims: Creating a Longitudinal Patient Record.

Author: Oliphant BW, Cain-Nielsen AH, Jarman MP, Sangji NF, Scott JW, Regenbogen S, and Hemmila MR
Subjects: Humans, Registries, Medical Records, Hospitalization, Medical Record Linkage, Insurance
Abstract: Introduction: Trauma registries and their quality improvement programs only collect data from the acute hospital admission, and no additional information is captured once the patient is discharged. This lack of long-term data limits these programs' ability to affect change. The goal of this study was to create a longitudinal patient record by linking trauma registry data with third party payer claims data to allow the tracking of these patients after discharge., Methods: Trauma quality collaborative data (2018-2019) was utilized. Inclusion criteria were patients age ≥18, ISS ≥5 and a length of stay ≥1 d. In-hospital deaths were excluded. A deterministic match was performed with insurance claims records based on the hospital name, date of birth, sex, and dates of service (±1 d). The effect of payer type, ZIP code, International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis specificity and exact dates of service on the match rate was analyzed., Results: The overall match rate between these two patient record sources was 27.5%. There was a significantly higher match rate (42.8% versus 6.1%, P < 0.001) for patients with a payer that was contained in the insurance collaborative. In a subanalysis, exact dates of service did not substantially affect this match rate; however, specific International Classification of Diseases, Tenth Revision, Clinical Modification codes (i.e., all 7 characters) reduced this rate by almost half., Conclusions: We demonstrated the successful linkage of patient records in a trauma registry with their insurance claims. This will allow us to the collect longitudinal information so that we can follow these patients' long-term outcomes and subsequently improve their care., (Copyright © 2023 Elsevier Inc. All rights reserved.)
Published: 2024
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43. Delirium screening instruments.

Author: Svenningsen H, Larsen LK, Collet MO, Nielsen AH, and Pedersen H
Subjects: Aged, Humans, Informed Consent, Physical Examination, Hospitals, Delirium diagnosis, Delirium therapy
Abstract: Delirium in patients has well-documented adverse physical and mental outcomes. Delirium impairs patients' capacity to grasp and retain information, thus affecting their right to informed consent and active participation in treatment and care decisions. In Danish hospitals, delirium afflicts up to 50% of the elderly patients, yet it often goes unreported due to the absence of systematic screening. The selection of a screening tool should be contextually relevant. This review gives an overview of delirium screening instruments available in Danish, each with distinct advantages and disadvantages., (Published under Open Access CC-BY-NC-BD 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/.)
Published: 2024
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44. What is hiding below the surface - MPs including TWP in an urban lake.

Author: Molazadeh MS, Liu F, Lykkemark J, Lordachescu L, Nielsen AH, and Vollertsen J
Subjects: Plastics chemistry, Lakes chemistry, Environmental Monitoring methods, Geologic Sediments chemistry, Microplastics analysis, Water Pollutants, Chemical analysis
Abstract: Inland lakes play an important role as habitats for local species and are often essential drinking water reservoirs. However, there is limited information about the presence of microplastics (MPs) in these water bodies. Thirteen sediment samples were collected across a Danish urban lake to map MPs, including tyre wear particles (TWP). The lower size detection limit was 10 µm. MPs were quantified as counts, size, and polymer type by Fourier-transform infrared microspectroscopy (µFTIR) and mass estimated from the 2D projections of the MPs. As TWP cannot be determined by µFTIR, counts and sizes could not be quantified by this technique. Instead, TWP mass was determined by pyrolysis gas chromatography mass spectrometry (Py-GC/MS). The average MP abundance was 279 mg kg -1 (µFTIR), of which 19 mg kg -1 (Py-GC/MS) were TWP. For MPs other than tyre wear, the average MP count concentration was 11,312 counts kg -1 . Urban runoff from combined sewer overflows and separate stormwater outlets combined with outflow from a wastewater treatment plant were potential point sources. The spatial variation was substantial, with concentrations varying several orders of magnitude. There was no pattern in concentration across the lake, and the distribution of high and low values seemed random. This indicates that large sampling campaigns encompassing the entire lake are key to an accurate quantification. No preferential spatial trend in polymer characteristics was identified. For MPs other than TWP, the size of buoyant and non-buoyant polymers showed no significant difference across the lake, suggesting that the same processes brought them to the sediment, regardless of their density. Moreover, MP abundance was not correlated to sediment properties, further indicating a random occurrence of MPs in the lake sediments. These findings shed light on the occurrence and distribution of MPs, including TWP, in an inland lake, improving the basis for making mitigation decisions., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Published: 2023
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45. Impact of state opioid laws on prescribing in trauma patients.

Author: Kelm JD, Aubry ST, Cain-Nielsen AH, Scott JW, Oliphant BW, Sangji NF, Waljee JF, and Hemmila MR
Subjects: Adult, Humans, Cross-Sectional Studies, Pain, Postoperative drug therapy, Pain, Postoperative etiology, Patient Discharge, Practice Patterns, Physicians', Morphine, Analgesics, Opioid therapeutic use, Aftercare
Abstract: Background: Excessive opioid prescribing has resulted in opioid diversion and misuse. In July 2018, Michigan's Public Act 251 established a state-wide policy limiting opioid prescriptions for acute pain to a 7-day supply. Traumatic injury increases the risk for new persistent opioid use, yet the impact of prescribing policy in trauma patients remains unknown. To determine the relationship between policy enactment and prescribing in trauma patients, we compared oral morphine equivalents prescribed at discharge before and after implementation of Public Act 251., Methods: In this cross-sectional study, adult patients who received any oral opioids at discharge from a Level 1 trauma center between January 1, 2016, and June 30, 2021, were identified. The exposure was patients admitted starting July 1, 2018. Inpatient oral morphine equivalents per day 48 hours before discharge and discharge prescription oral morphine equivalents per day were calculated. Student's t test and an interrupted time series analysis were performed to compare mean oral morphine equivalents per day pre- and post-policy. Multivariable risk adjustment accounted for patient/injury factors and inpatient oral morphine equivalent use., Results: A total of 3,748 patients were included in the study (pre-policy n = 1,685; post-policy n = 2,063). Implementation of the prescribing policy was associated with a significant decrease in mean discharge oral morphine equivalents per day (34.8 ± 49.5 vs 16.7 ± 32.3, P < .001). After risk adjustment, post-policy discharge prescriptions differed by -19.2 oral morphine equivalents per day (95% CI -21.7 to -16.8, P < .001). The proportion of patients obtaining a refill prescription 30 days post-discharge did not increase after implementation (0.38 ± 0.48 vs 0.37 ± 0.48, P = .7)., Conclusion: Discharge prescription amounts for opioids in trauma patients decreased by approximately one-half after the implementation of opioid prescribing policies, and there was no compensatory increase in subsequent refill prescriptions. Future work is needed to evaluate the effect of these policies on the adequacy of pain management and functional recovery after injury., (Copyright © 2023 Elsevier Inc. All rights reserved.)
Published: 2023
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46. Efficacy of an Automated Secretion Removal Technology at Different Inspiratory Pressures.

Author: Nielsen AH, Karbing DS, Sølling CG, Winding RR, Rees SE, and Dey N
Subjects: Humans, Animals, Prospective Studies, Ventilators, Mechanical, Intubation, Intratracheal adverse effects, Pain etiology, Cough etiology, Respiration, Artificial methods
Abstract: Background: Endotracheal suctioning is resource demanding, causes patient discomfort, and is associated with adverse effects. A new artificial cough method has been developed for automated secretion removal by using rapid deflation and inflation of the endotracheal tube cuff during the inspiratory phase of mechanical ventilation. This method has been evaluated in a bench model and in animals but not in human subjects. The aim of this study was to investigate whether this method can remove the need for endotracheal suctioning in subjects and whether this is dependent on ventilator settings., Methods: This prospective, non-controlled study recruited 20 subjects on invasive mechanical ventilation. On the clinical need for endotracheal suctioning, the automatic cough procedure was applied 3 times over 30 s, with this repeated at higher ventilatory pressure and lower respiratory frequency if considered unsuccessful. Success was determined by removal of the clinical need for suctioning. Subject safety and comfort was measured by using the Critical-Care Pain Observation Tool before and after the procedure, and negative effects were recorded. To assess intra-subject variability, the procedure was performed on 3 different occasions for each subject., Results: The procedure was successful in 18 of 20 subjects (90%), with mean subject success rates of 53% at low settings (peak inspiratory pressure 21.8 ± 3.8 cm H 2 O) and 83% at high settings (peak inspiratory pressure 25.6 ± 3.6 cm H 2 O). The Critical-Care Pain Observation Tool category remained unchanged in 30 procedures (77%), improved in 7 (18%), and deteriorated in 2 (5%)., Conclusions: This study illustrated the potential for significant reduction in the clinical need for endotracheal suctioning after the use of an automated artificial cough procedure at both low and high peak inspiratory pressures, and that was well tolerated., Competing Interests: Drs Rees and Karbing are shareholders of AW Technologies, which manufactures the TrachFlush system evaluated in this study. The other authors have disclosed no conflicts of interest., (Copyright © 2023 by Daedalus Enterprises.)
Published: 2023
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47. Intensive care unit nurses' perception of three different methods for delirium screening: A survey (DELIS-3).

Author: Nielsen AH, Larsen LK, Collet MO, Lehmkuhl L, Bekker C, Jensen JF, Laerkner E, Nielsen TA, Rossen BS, Thorn L, Laursen E, Fischer S, Villumsen M, Shiv LH, Høgh M, Rahr MN, and Svenningsen H
Subjects: Humans, Cross-Sectional Studies, Intensive Care Units, Critical Care methods, Perception, Delirium diagnosis, Nurses
Abstract: Background: Delirium is common in critically ill patients with detrimental effects in terms of increased morbidity, mortality, costs, and human suffering. Delirium detection and management depends on systematic screening for delirium, which can be challenging to implement in clinical practice., Objectives: The aim of this study was to explore how nurses in the intensive care unit perceived the use of Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), the Confusion Assessment Method for the Intensive Care Unit-7 (CAM-ICU-7), and Intensive Care Delirium Screening Checklist (ICDSC) for delirium screening of patients in the intensive care unit., Methods: This was a cross-sectional, electronic-based survey of nurses' perceptions of delirium screening with the three different instruments for delirium screening. Nurses were asked to grade their perception of the usability of the three instruments and how well they were perceived to detect delirium and delirium symptom changes on a 1- to 6-point Likert scale. Open questions about perceived advantages and disadvantages of each instrument were analysed using the framework method., Results: One hundred twenty-seven of 167 invited nurses completed the survey and rated the CAM-ICU-7 as faster and easier than the ICDSC, which was more nuanced and reflected changes in the patient's delirium better. Despite being rated as the fastest, easiest, and most used, the CAM-ICU provided less information and was considered inferior to the CAM-ICU-7 and ICDSC. Using familiar instruments made delirium screening easier, but being able to grade and nuance the delirium assessment was experienced as important for clinical practice., Conclusions: Both the ICDSC and the CAM-ICU-7 were perceived well suited for detection of delirium and reflected changes in delirium intensity. The CAM-ICU was rated as fast and easy but inferior in its ability to grade and nuance the assessment of delirium. Emphasis on clinical meaningfulness and continued education in delirium screening are necessary for adherence to delirium management guidelines., Competing Interests: Conflict of interest Anne Højager Nielsen is funded by the Novo Nordisk Foundation, NNF 19OC0058277. Marie Oxenbøll Collet is funded by the Novo Nordisk Foundation, NNF21OC0072048. All other authors declare no conflict of interests., (Copyright © 2023 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved.)
Published: 2023
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48. It matters how we measure - Quantification of microplastics in drinking water by μFTIR and μRaman.

Author: Maurizi L, Iordachescu L, Kirstein IV, Nielsen AH, and Vollertsen J
Abstract: The water treatment for microplastics (MP) at a Danish groundwater-based waterworks was assessed by Fourier-Transform IR micro-spectroscopy (μFTIR) (nominal size limit 6.6 μm) and compared to results from Raman micro-spectroscopy (μRaman) (nominal size limit 1.0 μm) on the same sample set. The MP abundance at the waterworks' inlet and outlet was quantified as MP counts per cubic metre (N/m 3 ) and estimated MP mass per cubic metre (μg/m 3 ). The waterworks' MP removal efficiency was found to be higher when analysing by μFTIR (counts: 78.14 ± 49.70%, mass: 98.73 ± 11.10%) and less fluctuating than when using μRaman (counts: 43.2%, mass: 75.1%). However, both techniques pointed to a value of ∼80% for the counts' removal efficiency of MPs >6.6 μm. Contrarily to what was shown by μRaman, no systematic leaking of MPs from the plastic elements of the facility could be identified for the μFTIR dataset, either from the counts (inlet 31.86 ± 17.17 N/m 3 , outlet 4.98 ± 2.09 N/m 3 ) or mass estimate (inlet 76.30 ± 106.30 μg/m 3 , outlet 2.81 ± 2.78 μg/m 3 ). The estimation of human MP intake from drinking water calculated from the μFTIR data (5 N/(year·capita)) proved to be approximately 332 times lower than that calculated from the μRaman dataset, although in line with previous studies employing μFTIR. By merging the MP length datasets from the two techniques, it could be shown that false negatives became prevalent in the μFTIR dataset already below 50 μm. Further, by fitting the overall frequency of the MP length ranges with a power function, it could be shown that μFTIR missed approximately 95.7% of the extrapolated MP population (1-1865.9 μm). Consequently, relying on only μFTIR may have led to underestimating the MP content of the investigated drinking water, as most of the 1-50 μm MP would have been missed., Competing Interests: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Luca Maurizi reports financial support was provided by European Commission., (© 2023 The Authors.)
Published: 2023
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49. Hospital performance in a statewide commercial insurer episode-based incentive program.

Author: Thompson MP, Cain-Nielsen AH, Yost Karslake ML, Pizzo CA, Yaser JM, Syrjamaki JD, Nathan H, Norton EC, and Regenbogen SE
Subjects: Humans, Reimbursement, Incentive, Retrospective Studies, Hospitals, Insurance Carriers, Motivation
Abstract: Objectives: To evaluate hospital performance and behaviors in the first 2 years of a statewide commercial insurance episode-based incentive pay-for-performance (P4P) program., Study Design: Retrospective cohort study of price- and risk-standardized episode-of-care spending from the Michigan Value Collaborative claims data registry., Methods: Changes in hospital-level episode spending between baseline and performance years were estimated during the program years (PYs) 2018 and 2019. The distribution and hospital characteristics associated with P4P points earned were described for both PYs. A difference-in-differences (DID) analysis compared changes in patient-level episode spending associated with program implementation., Results: Hospital-level episode spending for all conditions declined significantly from the baseline year to the performance year in PY 2018 (-$671; 95% CI, -$1113 to -$230) but was not significantly different for PY 2019 ($177; 95% CI, -$412 to $767). Hospitals earned a mean (SD) total of 6.3 (3.1) of 10 points in PY 2018 and 4.5 (2.9) of 10 points in PY 2019, with few significant differences in P4P points across hospital characteristics. The highest-scoring hospitals were more likely to have changes in case mix index and decreases in spending across the entire episode of care compared with the lowest-scoring hospitals. DID analysis revealed no significant changes in patient-level episode spending associated with program implementation., Conclusions: There was little evidence for overall reductions in spending associated with the program, but the performance of the hospitals that achieved greatest savings and incentives provides insights into the ongoing design of hospital P4P metrics.
Published: 2023
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50. Diaries for dying patients: An outlet for staff members' grief or a powerful way to humanize the intensive care unit?

Author: Nielsen AH, Via-Clavero G, Heras-la Calle G, and Nydahl P
Subjects: Humans, Intensive Care Units, Family, Grief, Bereavement
Abstract: Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Published: 2023
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