Results 11 to 20 of about 140,191 (290)
Adaptive anomaly detection disruption prediction starting from first discharge on tokamak [PDF]
Nuclear FusionPlasma disruption presents a significant challenge in tokamak fusion, especially in large-size devices like ITER, where it causes severe damage. While current data-driven machine learning methods perform well in disruption prediction, they require ...X.K. Ai, W. Zheng, M. Zhang, Y.H. Ding, D.L. Chen, Z.Y. Chen, B.H. Guo, C.S. Shen, N.C. Wang, Z.J. Yang, Z.P. Chen, Y. Pan, B. Shen, B.J. Xiao, J-TEXT team +14 moredoaj +5 more sourcesCross-tokamak disruption prediction based on domain adaptation [PDF]
Nuclear FusionThe high acquisition cost and the significant demand for disruptive discharges for data-driven disruption prediction models in future tokamaks pose an inherent contradiction in disruption prediction research.Chengshuo Shen, Wei Zheng, Bihao Guo, Yonghua Ding, Dalong Chen, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Biao Shen, Binjia Xiao, Zhongyong Chen, Yuan Pan, J-TEXT Team +13 moredoaj +2 more sourcesDetermining the prediction limits of models and classifiers with applications for disruption prediction in JET [PDF]
, 2017 Understanding the many aspects of tokamak physics requires the development of quite sophisticated models. Moreover, in the operation of the devices, prediction of the future evolution of discharges can be of crucial importance, particularly in the case ...Devaux, S., Bizarro, J. P. S., Brown, B. C., Gear, D. F., Giegerich, T., Beal, J., Bucalossi, J., Cox, M. P., Forsythe, L., Dunne, M., Baciero, A., Bastow, R., Hill, J. W., Janky, F., Hughes, M., Davies, R., Corrigan, G., Bowden, M., Haydon, P. W., Alsworth, I., Hagar, A., Howarth, P. J., Huber, A., Joyce, L., Di Pace, L., Bailescu, V., Card, P. J., Chiru, P., Broeckx, W., Decker, J., Ewart, G. D., Hallworth Cook, S. P., Carraro, L., Cristescu, I., Botrugno, A., Cazzaniga, A., Chapman, S. C., Arnichand, H., Goniche, M., James, J., Brix, M., Clatworthy, D., Abreu, P., Bell, K., Couchman, A. S., Cardinali, A., Horton, L. D., Chankin, A., Castaldo, C., Eriksson, A., Boom, J., Ferreira, J., Burckhart, A., Bachmann, C., Giroud, C., Ciraolo, G., Beaumont, P. S., Fasoli, A., Cesario, R., Elsmore, C. G., Fleming, C., Carralero, D., Byrne, J., Galva ̃o, R., Grigore, E., Jakubowska, K., Chernyshova, M., Almaviva, S., Fessey, J. A., Giacomelli, L., Vega, J., Crowe, R., Asp, E., Murari, A., Berry, M., Hoshino, K. K., Cramp, S., Elevant, T., Johnson, T., Guillemaut, C., Day, I. E., Brown, D. P. D., Angioni, C., Duval, B., Edappala, P. V., Gherendi, M., Gardner, M., Greuner, H., Hellesen, C., Arnoux, G., Conroy, S., Bellinger, M., Fattorini, L., Boulbe, C., Brombin, M., Hillis, D., Bright, M. D. J., Hartmann, N., Firdaouss, M., Arshad, S., Hurzlmeier, H., Bremond, S., Huddleston, T. M., Ivanova Stanik, I., Clairet, F., Blackman, T. R., Chapman, I. T., Ciric, D., Guard, D., Bolzonella, T., Fortune, M., Bigi, M., Aftanas, M., Figini, L., Buratti, P., Johnson, R., Gao, X., Borba, D., Baiocchi, B., Deakin, K., Groth, M., Brown, M., Bykov, I., Aggarwal, K. M., Belli, F., Utoh, H. H., Anghel, M., Durodie, F., Biewer, T., Cocilovo, V., Bonheure, G., Freisinger, M., Hobirk, J., Clark, E., Fernandes, H., Borodin, D., Jacobsen, A. S., Boncagni, L., Bertalot, L., Boyer, H. J., Homfray, D. A., Belo, J. K., Bernardo, J., Jones, T. T. C., Bradshaw, J. M. A., Belo, P., Gee, S. J., Garcia, J., Dumortier, P., Cull, K., Heinola, K., Deane, J., Capel, A. J., Crisanti, F., Cox, M., Grisolia, C., Binda, F., Barlow, I. L., Gaudio, P., Croft, O., Cane, J., Angelone, M., Dzysiuk, N., Boulting, P., Gonc ̧alves, B., de Pablos, J. L., Baranov, Y. F., Fuchs, V., Bodna ́r, G., Carman, P., Dodt, D., Heesterman, P. J. L., Hidalgo, C., Ivings, E., Cseh, G., Jachmich, S., Boyce, T., Boboc, A., Chandler, M., Amosov, V., Bassan, M., Chandra, D., Go ́ jska, A., Baker, A., Chouli, B., Hawkes, N. C., Conboy, J. E., Huynh, P., Graham, M. E., Dalziel, A., Devynck, P., Doyle, P. T., Coelho, R., Gauthier, E., Galperti, C., Esposito, B., Aints, M., Hillairet, J., Goodsell, B., Evans, G. E., Fedorczak, N., Flammini, D., Cain, G., Batistoni, P., Ekedahl, A., Giovannozzi, E., Curran, D., Figueiredo, A., Dˇuran, I., Peluso, E., Buch, J., Austin, Y., Guo, Y., Czarski, T., De Magistris, M., Clay, R., Czarnecka, A., Baruzzo, M., Godwin, J., Graves, J., Di Maio, F., Carvalho, B. B., Asunta, O., Goloborod’Ko, V., Bovert, K. V., Alegre, D., Bauer, R., de la Luna, E., Bernert, M., Becoulet, A., Giacalone, J. C., Cox, P., Ivanova, D., Helou, W., Allan, P., Garcia Carrasco, A., Ga ́l, K., Burcea, G., Barnes, D., Booth, J., Ambrosino, G., Atanasiu, C. V., Breizman, B., Andersson, F., Green, N. R., Griph, F. S., Gohil, P., B ́ılkova, P., Ayres, C., Buckley, M. A., Benterman, N. A., Gibson, C. S., Coffey, I., Fischer, U., Gervasini, G., Dorling, S. E., Hemming, O. N., Bonham, R., Brett, A., Esser, H. G., Ghate, M., Alfier, A., Henderson, M., Arena, P., Dendy, R. O., Dutta, P., Dalley, S., Ja ̈rvinen, A., Iglesias, D., Blackman, K., Hermon, G., Bucko, K., Farthing, J. W., Albanese, R., Davis, W., Corre, Y., Callaghan, C. P., Goodyear, A., Hazel, S., den Harder, N., Bunting, P., Campling, D. C., Igitkhanov, J., Frassinetti, L., Hammond, K., Jacquet, P., Cooper, D., Hogeweij, G. M. D., Fortuna, L., Hender, T. C., Joita, L., Butcher, P. R., De Tommasi, G., Avotina, L., Barnsley, R., Cook, N., Frasca, M., Crombe, K., Eriksson, L. G., Fawlk, N., Belonohy, E. ́., Frigione, D., Girardo, J. B., Grazier, N., Apruzzese, G., Blanco, E., Chitarin, G., Jenkins, C., Byszuk, A., Balboa, I., Dreischuh, T., Dittmar, T., Bazylev, B., Dumont, R., Dejarnac, R., Gomes, R., Coccorese, V., Hotchin, S. P., Carvalho, P., Blatchford, P., Garc ́ıa Munoz, M., Fittill, L., Brezinsek, S., Alkseev, A., Eriksson, J., Casson, F. J., Gryaznevich, M., Flinders, K., Gerasimov, S., Alves, D., Imr ́ısˇek, M., Anghel, A., Grist, D., Brennan, P. D., Hart, J., Cooper, S. R., Martínez, F. J., Ambrosino, R., Croci, G., Baron Wiechec, A., Balden, M., Cenedese, A., Finburg, P., Appel, L., Basiuk, V., Federici, G., Dooley, P., Formisano, A., Degli Agostini, F., Joffrin, E., Faugeras, B., Giruzzi, G., Gubb, D., Hakola, A., Harting, D., Coenen, J. W., Falie, D., Blanchard, P., Buscarino, A., Cannas, B., Baker, R. A., Andersson Sunde ́n, E., Axton, M. D., Bekris, N., Gadomska, M., Ariola, M., Darrow, D., Bauvir, B., Cupido, L., Esteve, D., Gaze, J. W., Bament, R., Batista, A., Donne, T., Baia ̃o, D., Cackett, A., Denner, P., Eich, T.h., Garavaglia, S., Highcock, E. G., Airila, M., Collins, S., Hunter, C. L., Henriques, R., Bower, C., Fenzi, C., Evans, J., Drozdowicz, K., Hillesheim, J., Hepple, D., Fagan, D., Gorini, G., Cavinato, M., Jenkins, I., Coster, D., Alessi, E., Beurskens, M. N. A., de Vries, P. C., Bulman, M., Curuia, M., Genangeli, E., Bogar, O., Coad, J. P., Hjalmarsson, A., Fyvie, J., Alonso, A., Dunai, D., de la Cal, E., Aleynikov, P., Chang, C. S., Day, C., Abhangi, M., Drewelow, P., Figueiredo, J., Ash, A., Clever, M., Caputano, M., Alper, B., Coates, P. A., Hall, S. J., Haupt, T. D. V., Hacquin, S., Fitzgerald, M., Cruz, N., Bobkov, V., Hora ́cˇek, J., Ahonen, E., Barnard, M. A., Bufferand, H., Jaulmes, F., Fernades, A., Budny, R., Bulmer, N., Dux, R., Bruno, E., Centioli, C., Hough, M. R., Braic, V., Halitovs, M., Horton, A. R., Gonzalez, S., Goussarov, A., Bjo ̈ rkas, C., Beldishevski, M., Craciunescu, T., Flanagan, J., Hogben, C. H. A., Bergsåker, H., Gin, D., Aho Mantila, L., Bielecki, J., Hawkins, J., Coombs, D., Grundy, C. N., Lungaroni, M., Bednarczyk, P., Carvalho, I., Hackett, L. J., Jednorog, S., Balshaw, N., Garzotti, L., Faustin, J., Cecconello, M., Felton, R. C., Delabie, E., Cavazzana, R., Calabro, G., Challis, C. D., Jesˇko, K., Hill, M., Ewers, D. T., Drozdov, V., Cahyna, P., Jones, G., Chung, N., Fil, A., Ericsson, G., Dormido Canto, S., Jupe ́n, C., Banks, J. W., Gleason Gonzalez, C., Douai, D., Dylst, K., Gelfusa, M., Butler, N. K., Afzal, M., Citrin, J., Huygen, S., Coda, S., Cortes, S., El Jorf, R., Graham, B., Colas, L., Hellsten, T., Edwards, A. M., Doswon, S., Cecil, E., Bieg, B. +497 morecore +7 more sourcesDisruption of hierarchical predictive coding during sleep [PDF]
Proceedings of the National Academy of Sciences, 2015 Significance Sleeping disrupts the conscious awareness of external sounds. We investigated the stage of processing at which this disruption occurs. In the awake brain, when a regular sequence of sounds is presented, a hierarchy of brain areas uses the available regularities to predict forthcoming sounds and to respond with a series of ...Strauss, Melanie, Sitt, Jacobo D., King, Jean Remi, Elbaz, Maxime, Azizi, Leila, Buiatti, Marco, Naccache, Lionel, Van Wassenhove, Virginie, Dehaene, Stanislas Pierre Joseph +8 moreopenaire +2 more sourcesC-clamp and pelvic packing for control of hemorrhage in patients with pelvic ring disruption [PDF]
, 2011 BACKGROUND:
Exsanguinating hemorrhage is the major cause of death in patients with pelvic ring disruption.
AIMS:
The aim of this study was to document outcomes after the stabilization of pelvic ring injuries by a C-clamp and control of hemorrhage ...Meier, C, Lustenberger, T, Benninger, Emanuel, Lenzlinger, Philipp M, Keel, M J B, Benninger, E, Keel, Marius Johann Baptist, Lustenberger, Thomas, Lenzlinger, Philipp M., Meier, Christoph, Keel, Marius J B, Lenzlinger, P M +11 morecore +1 more sourceInitial analytical theory of plasma disruption and experimental evidence
Scientific Reports, 2023 It is a great physical challenge to achieve controlled nuclear fusion in magnetic confinement tokamak and solve energy shortage problem for decades. In tokamak plasma, large-scale plasma instability called disruption will halt power production of reactor Huibin Qiu, Zuozhi Hu, Shengfa Wu, Jiangcun Chen, Chengjie Zhong, Junjie Wu, Xiaobin Li, Donghua Xiao, Chunhui Shi, Junhui Liu, Wenjun Xiong, Tianyi Hu, Qilong Cai, Youlong Yuan +13 moredoaj +1 more sourceCerebellar rTMS disrupts predictive language processing [PDF]
Current Biology, 2012 The human cerebellum plays an important role in language, amongst other cognitive and motor functions [1], but a unifying theoretical framework about cerebellar language function is lacking. In an established model of motor control, the cerebellum is seen as a predictive machine, making short-term estimations about the outcome of motor commands.Lesage, E., Morgan, B., Olson, A., Meyer, A., Miall, R. +4 moreopenaire +3 more sourcesData augmentation for disruption prediction via robust surrogate models [PDF]
, 2022 Submitted for publication in Journal of Plasma PhysicsThe goal of this work is to generate large statistically representative datasets to train machine learning models for disruption prediction provided by data from few existing discharges.Rügamer, David, Albert, C., Granetz, Robert, Rath, Katharina, Bischl, Bernd, Toussaint, Udo von, Granetz, R., Maris, A., Albert, Christopher G., von Toussaint, Udo, Maris, Andrew D., Rea, C., Rath, K. ; https://orcid.org/, Rea, Cristina, Bischl, B., Rügamer, D., Maris, Andrew, Toussaint, U. ; https://orcid.org/ +17 morecore +3 more sources
