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Publications

2022

Is there a Need for Automated Code Review to be Used in Teaching? From the perspective of students

Authors
Kaufmann, C; Pavao, J; Wahl, H;

Publication
2022 17TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)

Abstract
The aim of this study is to analyze the typical process of the practical part of software development courses at universities and to evaluate whether the current process meets the expectations of students or whether the needs of students would be better met by the benefits of automated code feedback. A semiautomated survey was conducted in German, involving bachelor students from different universities who had attended an introductory programming class within the last 6 semesters. The results clearly show that the students would like to have individual assignments instead of the due to time constraints, usual group exercises as they see more advantages for their learning progress. The use of automated code feedback could not only solve this time problem but would also bring other benefits.

2022

Binaural Acoustic Scene Classification Using Wavelet Scattering, Parallel Ensemble Classifiers and Nonlinear Fusion

Authors
Hajihashemi, V; Gharahbagh, AA; Cruz, PM; Ferreira, MC; Machado, JJM; Tavares, JMRS;

Publication
SENSORS

Abstract
The analysis of ambient sounds can be very useful when developing sound base intelligent systems. Acoustic scene classification (ASC) is defined as identifying the area of a recorded sound or clip among some predefined scenes. ASC has huge potential to be used in urban sound event classification systems. This research presents a hybrid method that includes a novel mathematical fusion step which aims to tackle the challenges of ASC accuracy and adaptability of current state-of-the-art models. The proposed method uses a stereo signal, two ensemble classifiers (random subspace), and a novel mathematical fusion step. In the proposed method, a stable, invariant signal representation of the stereo signal is built using Wavelet Scattering Transform (WST). For each mono, i.e., left and right, channel, a different random subspace classifier is trained using WST. A novel mathematical formula for fusion step was developed, its parameters being found using a Genetic algorithm. The results on the DCASE 2017 dataset showed that the proposed method has higher classification accuracy (about 95%), pushing the boundaries of existing methods.

2022

Novel intelligent multi-agents system for hybrid adaptive protection of micro-grid

Authors
Aazami, R; Esmaeilbeigi, S; Valizadeh, M; Javadi, MS;

Publication
SUSTAINABLE ENERGY GRIDS & NETWORKS

Abstract
The decrease of short-circuit current in islanded mode due to the existence of resources with low inertial, topology changing, multi-directional current, and telecommunication are the most critical issues encountered by micro-grid protection. The central adaptive protection schemes are widely used for micro-grids, but due to the lack of reliability of this schemes, they are not perfect methods. In this paper, a hybrid scheme of adaptive and multi-agent protection for micro-grid is discussed, which will be able to provide safety protection at several layers and levels, using the equipment in the micro-grid with distributed generation including renewable and nonrenewable energy resources. The proposed scheme calculates relays pickup current with a formula that uses the superposition theorem. To demonstrate the proposed scheme performance, it is implemented and simulated on a sample micro-grid in MATLAB/Simulink, and its results have been analyzed and discussed. Simulations and numerical results show that for 96% of simulated topologies in single and multi-event faults, the relay settings are updated correctly and detect subsequent faults at the right time. Also, due to the use of offline calculations in the equipment layer, the time delay due to sending information to higher layers is minimized for single-event faults in the micro-grid. (C)& nbsp;2022 Published by Elsevier Ltd.

2022

Detection of COVID-19 in Point of Care Lung Ultrasound

Authors
Maximino, J; Coimbra, MT; Pedrosa, J;

Publication
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2022, Glasgow, Scotland, United Kingdom, July 11-15, 2022

Abstract
The coronavirus disease 2019 (COVID-19) evolved into a global pandemic, responsible for a significant number of infections and deaths. In this scenario, point-of-care ultrasound (POCUS) has emerged as a viable and safe imaging modality. Computer vision (CV) solutions have been proposed to aid clinicians in POCUS image interpretation, namely detection/segmentation of structures and image/patient classification but relevant challenges still remain. As such, the aim of this study is to develop CV algorithms, using Deep Learning techniques, to create tools that can aid doctors in the diagnosis of viral and bacterial pneumonia (VP and BP) through POCUS exams. To do so, convolutional neural networks were designed to perform in classification tasks. The architectures chosen to build these models were the VGG16, ResNet50, DenseNet169 e MobileNetV2. Patients images were divided in three classes: healthy (HE), BP and VP (which includes COVID-19). Through a comparative study, which was based on several performance metrics, the model based on the DenseNet169 architecture was designated as the best performing model, achieving 78% average accuracy value of the five iterations of 5- Fold Cross-Validation. Given that the currently available POCUS datasets for COVID-19 are still limited, the training of the models was negatively affected by such and the models were not tested in an independent dataset. Furthermore, it was also not possible to perform lesion detection tasks. Nonetheless, in order to provide explainability and understanding of the models, Gradient-weighted Class Activation Mapping (GradCAM) were used as a tool to highlight the most relevant classification regions. Clinical relevance - Reveals the potential of POCUS to support COVID-19 screening. The results are very promising although the dataset is limite

2022

Author Correction: High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations (Nature Communications, (2020), 11, 1, (736), 10.1038/s41467-019-13885-w)

Authors
Zhang, Y; Chen, F; Fonseca, NA; He, Y; Fujita, M; Nakagawa, H; Zhang, Z; Brazma, A; Amin, SB; Awadalla, P; Bailey, PJ; Brazma, A; Brooks, AN; Calabrese, C; Chateigner, A; Cortés-Ciriano, I; Craft, B; Craft, D; Creighton, CJ; Davidson, NR; Demircioglu, D; Erkek, S; Fonseca, NA; Frenkel-Morgenstern, M; Goldman, MJ; Greger, L; Göke, J; He, Y; Hoadley, KA; Hou, Y; Huska, MR; Kahles, A; Khurana, E; Kilpinen, H; Korbel, JO; Lamaze, FC; Lehmann, K; Li, C; Li, S; Li, X; Li, X; Liu, D; Liu, F; Liu, X; Marin, MG; Markowski, J; Meyerson, M; Nandi, T; Nielsen, MM; Ojesina, AI; Ouellette, BFF; Pan-Hammarström, Q; Park, PJ; Pedamallu, CS; Pedersen, JS; Perry, MD; Rätsch, G; Schwarz, RF; Shiraishi, Y; Siebert, R; Soulette, CM; Stark, SG; Stegle, O; Su, H; Tan, P; Teh, BT; Urban, L; Wang, J; Waszak, SM; Wu, K; Xiang, Q; Xiong, H; Yakneen, S; Yang, H; Ye, C; Yung, CK; Zhang, F; Zhang, J; Zhang, X; Zhang, Z; Zheng, L; Zhu, J; Zhu, S; Akdemir, KC; Alvarez, EG; Baez-Ortega, A; Beroukhim, R; Boutros, PC; Bowtell, DDL; Brors, B; Burns, KH; Campbell, PJ; Chan, K; Chen, K; Cortés-Ciriano, I; Dueso-Barroso, A; Dunford, AJ; Edwards, PA; Estivill, X; Etemadmoghadam, D; Feuerbach, L; Fink, JL; Frenkel-Morgenstern, M; Garsed, DW; Gerstein, M; Gordenin, DA; Haan, D; Haber, JE; Hess, JM; Hutter, B; Imielinski, M; Jones, DTW; Ju, YS; Kazanov, MD; Klimczak, LJ; Koh, Y; Korbel, JO; Kumar, K; Lee, EA; Lee, JJ; Li, Y; Lynch, AG; Macintyre, G; Markowetz, F; Martincorena, I; Martinez-Fundichely, A; Meyerson, M; Miyano, S; Nakagawa, H; Navarro, FCP; Ossowski, S; Park, PJ; Pearson, JV; Puiggròs, M; Rippe, K; Roberts, ND; Roberts, SA; Rodriguez-Martin, B; Schumacher, SE; Scully, R; Shackleton, M; Sidiropoulos, N; Sieverling, L; Stewart, C; Torrents, D; Tubio, JMC; Villasante, I; Waddell, N; Wala, JA; Weischenfeldt, J; Yang, L; Yao, X; Yoon, S; Zamora, J; Zhang, C; Creighton, CJ; Aaltonen, LA; Abascal, F; Abeshouse, A; Aburatani, H; Adams, DJ; Agrawal, N; Ahn, KS; Ahn, S; Aikata, H; Akbani, R; Akdemir, KC; Al-Ahmadie, H; Al-Sedairy, ST; Al-Shahrour, F; Alawi, M; Albert, M; Aldape, K; Alexandrov, LB; Ally, A; Alsop, K; Alvarez, EG; Amary, F; Amin, SB; Aminou, B; Ammerpohl, O; Anderson, MJ; Ang, Y; Antonello, D; Anur, P; Aparicio, S; Appelbaum, EL; Arai, Y; Aretz, A; Arihiro, K; Ariizumi, S; Armenia, J; Arnould, L; Asa, S; Assenov, Y; Atwal, G; Aukema, S; Auman, JT; Aure, MRR; Awadalla, P; Aymerich, M; Bader, GD; Baez-Ortega, A; Bailey, MH; Bailey, PJ; Balasundaram, M; Balu, S; Bandopadhayay, P; Banks, RE; Barbi, S; Barbour, AP; Barenboim, J; Barnholtz-Sloan, J; Barr, H; Barrera, E; Bartlett, J; Bartolome, J; Bassi, C; Bathe, OF; Baumhoer, D; Bavi, P; Baylin, SB; Bazant, W; Beardsmore, D; Beck, TA; Behjati, S; Behren, A; Niu, B; Bell, C; Beltran, S; Benz, C; Berchuck, A; Bergmann, AK; Bergstrom, EN; Berman, BP; Berney, DM; Bernhart, SH; Beroukhim, R; Berrios, M; Bersani, S; Bertl, J; Betancourt, M; Bhandari, V; Bhosle, SG; Biankin, AV; Bieg, M; Bigner, D; Binder, H; Birney, E; Birrer, M; Biswas, NK; Bjerkehagen, B; Bodenheimer, T; Boice, L; Bonizzato, G; De Bono, JS; Boot, A; Bootwalla, MS; Borg, A; Borkhardt, A; Boroevich, KA; Borozan, I; Borst, C; Bosenberg, M; Bosio, M; Boultwood, J; Bourque, G; Boutros, PC; Bova, GS; Bowen, DT; Bowlby, R; Bowtell, DDL; Boyault, S; Boyce, R; Boyd, J; Brazma, A; Brennan, P; Brewer, DS; Brinkman, AB; Bristow, RG; Broaddus, RR; Brock, JE; Brock, M; Broeks, A; Brooks, AN; Brooks, D; Brors, B; Brunak, S; Bruxner, TJC; Bruzos, AL; Buchanan, A; Buchhalter, I; Buchholz, C; Bullman, S; Burke, H; Burkhardt, B; Burns, KH; Busanovich, J; Bustamante, CD; Butler, AP; Butte, AJ; Byrne, NJ; Børresen-Dale, A; Caesar-Johnson, SJ; Cafferkey, A; Cahill, D; Calabrese, C; Caldas, C; Calvo, F; Camacho, N; Campbell, PJ; Campo, E; Cantù, C; Cao, S; Carey, TE; Carlevaro-Fita, J; Carlsen, R; Cataldo, I; Cazzola, M; Cebon, J; Cerfolio, R; Chadwick, DE; Chakravarty, D; Chalmers, D; Chan, CWY; Chan, K; Chan-Seng-Yue, M; Chandan, VS; Chang, DK; Chanock, SJ; Chantrill, LA; Chateigner, A; Chatterjee, N; Chayama, K; Chen, H; Chen, J; Chen, K; Chen, Y; Chen, Z; Cherniack, AD; Chien, J; Chiew, Y; Chin, S; Cho, J; Cho, S; Choi, JK; Choi, W; Chomienne, C; Chong, Z; Choo, SP; Chou, A; Christ, AN; Christie, EL; Chuah, E; Cibulskis, C; Cibulskis, K; Cingarlini, S; Clapham, P; Claviez, A; Cleary, S; Cloonan, N; Cmero, M; Collins, CC; Connor, AA; Cooke, SL; Cooper, CS; Cope, L; Corbo, V; Cordes, MG; Cordner, SM; Cortés-Ciriano, I; Covington, K; Cowin, PA; Craft, B; Craft, D; Creighton, CJ; Cun, Y; Curley, E; Cutcutache, I; Czajka, K; Czerniak, B; Dagg, RA; Danilova, L; Davi, MV; Davidson, NR; Davies, H; Davis, IJ; Davis-Dusenbery, BN; Dawson, KJ; De La Vega, FM; De Paoli-Iseppi, R; Defreitas, T; Tos, APD; Delaneau, O; Demchok, JA; Demeulemeester, J; Demidov, GM; Demircioglu, D; Dennis, NM; Denroche, RE; Dentro, SC; Desai, N; Deshpande, V; Deshwar, AG; Desmedt, C; Deu-Pons, J; Dhalla, N; Dhani, NC; Dhingra, P; Dhir, R; DiBiase, A; Diamanti, K; Ding, L; Ding, S; Dinh, HQ; Dirix, L; Doddapaneni, H; Donmez, N; Dow, MT; Drapkin, R; Drechsel, O; Drews, RM; Serge, S; Dudderidge, T; Dueso-Barroso, A; Dunford, AJ; Dunn, M; Dursi, LJ; Duthie, FR; Dutton-Regester, K; Eagles, J; Easton, DF; Edmonds, S; Edwards, PA; Edwards, SE; Eeles, RA; Ehinger, A; Eils, J; Eils, R; El-Naggar, A; Eldridge, M; Ellrott, K; Erkek, S; Escaramis, G; Espiritu, SMG; Estivill, X; Etemadmoghadam, D; Eyfjord, JE; Faltas, BM; Fan, D; Fan, Y; Faquin, WC; Farcas, C; Fassan, M; Fatima, A; Favero, F; Fayzullaev, N; Felau, I; Fereday, S; Ferguson, ML; Ferretti, V; Feuerbach, L; Field, MA; Fink, JL; Finocchiaro, G; Fisher, C; Fittall, MW; Fitzgerald, A; Fitzgerald, RC; Flanagan, AM; Fleshner, NE; Flicek, P; Foekens, JA; Fong, KM; Fonseca, NA; Foster, CS; Fox, NS; Fraser, M; Frazer, S; Frenkel-Morgenstern, M; Friedman, W; Frigola, J; Fronick, CC; Fujimoto, A; Fujita, M; Fukayama, M; Fulton, LA; Fulton, RS; Furuta, M; Futreal, PA; Füllgrabe, A; Gabriel, SB; Gallinger, S; Gambacorti-Passerini, C; Gao, J; Gao, S; Garraway, L; Garred, Ø; Garrison, E; Garsed, DW; Gehlenborg, N; Gelpi, JLL; George, J; Gerhard, DS; Gerhauser, C; Gershenwald, JE; Gerstein, M; Gerstung, M; Getz, G; Ghori, M; Ghossein, R; Giama, NH; Gibbs, RA; Gibson, B; Gill, AJ; Gill, P; Giri, DD; Glodzik, D; Gnanapragasam, VJ; Goebler, ME; Goldman, MJ; Gomez, C; Gonzalez, S; Gonzalez-Perez, A; Gordenin, DA; Gossage, J; Gotoh, K; Govindan, R; Grabau, D; Graham, JS; Grant, RC; Green, AR; Green, E; Greger, L; Grehan, N; Grimaldi, S; Grimmond, SM; Grossman, RL; Grundhoff, A; Gundem, G; Guo, Q; Gupta, M; Gupta, S; Gut, IG; Gut, M; Göke, J; Ha, G; Haake, A; Haan, D; Haas, S; Haase, K; Haber, JE; Habermann, N; Hach, F; Haider, S; Hama, N; Hamdy, FC; Hamilton, A; Hamilton, MP; Han, L; Hanna, GB; Hansmann, M; Haradhvala, NJ; Harismendy, O; Harliwong, I; Harmanci, AO; Harrington, E; Hasegawa, T; Haussler, D; Hawkins, S; Hayami, S; Hayashi, S; Hayes, DN; Hayes, SJ; Hayward, NK; Hazell, S; He, Y; Heath, AP; Heath, SC; Hedley, D; Hegde, AM; Heiman, DI; Heinold, MC; Heins, Z; Heisler, LE; Hellstrom-Lindberg, E; Helmy, M; Heo, SG; Hepperla, AJ; Heredia-Genestar, JM; Herrmann, C; Hersey, P; Hess, JM; Hilmarsdottir, H; Hinton, J; Hirano, S; Hiraoka, N; Hoadley, KA; Hobolth, A; Hodzic, E; Hoell, JI; Hoffmann, S; Hofmann, O; Holbrook, A; Holik, AZ; Hollingsworth, MA; Holmes, O; Holt, RA; Hong, C; Hong, EP; Hong, JH; Hooijer, GK; Hornshøj, H; Hosoda, F; Hou, Y; Hovestadt, V; Howat, W; Hoyle, AP; Hruban, RH; Hu, J; Hu, T; Hua, X; Huang, K; Huang, M; Huang, MN; Huang, V; Huang, Y; Huber, W; Hudson, TJ; Hummel, M; Hung, JA; Huntsman, D; Hupp, TR; Huse, J; Huska, MR; Hutter, B; Hutter, CM; Hübschmann, D; Iacobuzio-Donahue, CA; Imbusch, CD; Imielinski, M; Imoto, S; Isaacs, WB; Isaev, K; Ishikawa, S; Iskar, M; Islam, SMA; Ittmann, M; Ivkovic, S; Izarzugaza, JMG; Jacquemier, J; Jakrot, V; Jamieson, NB; Jang, GH; Jang, SJ; Jayaseelan, JC; Jayasinghe, R; Jefferys, SR; Jegalian, K; Jennings, JL; Jeon, S; Jerman, L; Ji, Y; Jiao, W; Johansson, PA; Johns, AL; Johns, J; Johnson, R; Johnson, TA; Jolly, C; Joly, Y; Jonasson, JG; Jones, CD; Jones, DR; Jones, DTW; Jones, N; Jones, SJM; Jonkers, J; Ju, YS; Juhl, H; Jung, J; Juul, M; Juul, RI; Juul, S; Jäger, N; Kabbe, R; Kahles, A; Kahraman, A; Kaiser, VB; Kakavand, H; Kalimuthu, S; von Kalle, C; Kang, KJ; Karaszi, K; Karlan, B; Karlic, R; Karsch, D; Kasaian, K; Kassahn, KS; Katai, H; Kato, M; Katoh, H; Kawakami, Y; Kay, JD; Kazakoff, SH; Kazanov, MD; Keays, M; Kebebew, E; Kefford, RF; Kellis, M; Kench, JG; Kennedy, CJ; Kerssemakers, JNA; Khoo, D; Khoo, V; Khuntikeo, N; Khurana, E; Kilpinen, H; Kim, HK; Kim, H; Kim, H; Kim, H; Kim, J; Kim, J; Kim, JK; Kim, Y; King, TA; Klapper, W; Kleinheinz, K; Klimczak, LJ; Knappskog, S; Kneba, M; Knoppers, BM; Koh, Y; Jan Komorowski; Komura, D; Komura, M; Kong, G; Kool, M; Korbel, JO; Korchina, V; Korshunov, A; Koscher, M; Koster, R; Kote-Jarai, Z; Koures, A; Kovacevic, M; Kremeyer, B; Kretzmer, H; Kreuz, M; Krishnamurthy, S; Kube, D; Kumar, K; Kumar, P; Kumar, S; Kumar, Y; Kundra, R; Kübler, K; Küppers, R; Lagergren, J; Lai, PH; Laird, PW; Lakhani, SR; Lalansingh, CM; Lalonde, E; Lamaze, FC; Lambert, A; Lander, E; Landgraf, P; Landoni, L; Langerød, A; Lanzós, A; Larsimont, D; Larsson, E; Lathrop, M; Lau, LMS; Lawerenz, C; Lawlor, RT; Lawrence, MS; Lazar, AJ; Lazic, AM; Le, X; Lee, D; Lee, D; Lee, EA; Lee, HJ; Lee, JJ; Lee, J; Lee, J; Lee, MTM; Lee-Six, H; Lehmann, K; Lehrach, H; Lenze, D; Leonard, CR; Leongamornlert, DA; Leshchiner, I; Letourneau, L; Letunic, I; Levine, DA; Lewis, L; Ley, T; Li, C; Li, CH; Li, HI; Li, J; Li, L; Li, S; Li, S; Li, X; Li, X; Li, X; Li, Y; Liang, H; Liang, S; Lichter, P; Lin, P; Lin, Z; Linehan, WM; Lingjærde, OC; Liu, D; Liu, EM; Liu, FF; Liu, F; Liu, J; Liu, X; Livingstone, J; Livitz, D; Livni, N; Lochovsky, L; Loeffler, M; Long, GV; Lopez-Guillermo, A; Lou, S; Louis, DN; Lovat, LB; Lu, Y; Lu, Y; Lu, Y; Luchini, C; Lungu, I; Luo, X; Luxton, HJ; Lynch, AG; Lype, L; López, C; López-Otín, C; Ma, EZ; Ma, Y; MacGrogan, G; MacRae, S; Macintyre, G; Madsen, T; Maejima, K; Mafficini, A; Maglinte, DT; Maitra, A; Majumder, PP; Malcovati, L; Malikic, S; Malleo, G; Mann, GJ; Mantovani-Löffler, L; Marchal, K; Marchegiani, G; Mardis, ER; Margolin, AA; Marin, MG; Markowetz, F; Markowski, J; Marks, J; Marques-Bonet, T; Marra, MA; Marsden, L; Martens, JWM; Martin, S; Martin-Subero, JI; Martincorena, I; Martinez-Fundichely, A; Maruvka, YE; Mashl, RJ; Massie, CE; Matthew, TJ; Matthews, L; Mayer, E; Mayes, S; Mayo, M; Mbabaali, F; McCune, K; McDermott, U; McGillivray, PD; McLellan, MD; McPherson, JD; McPherson, JR; McPherson, TA; Meier, SR; Meng, A; Meng, S; Menzies, A; Merrett, ND; Merson, S; Meyerson, M; Meyerson, W; Mieczkowski, PA; Mihaiescu, GL; Mijalkovic, S; Mikkelsen, T; Milella, M; Mileshkin, L; Miller, CA; Miller, DK; Miller, JK; Mills, GB; Milovanovic, A; Minner, S; Miotto, M; Arnau, GM; Mirabello, L; Mitchell, C; Mitchell, TJ; Miyano, S; Miyoshi, N; Mizuno, S; Molnár-Gábor, F; Moore, MJ; Moore, RA; Morganella, S; Morris, QD; Morrison, C; Mose, LE; Moser, CD; Muiños, F; Mularoni, L; Mungall, AJ; Mungall, K; Musgrove, EA; Mustonen, V; Mutch, D; Muyas, F; Muzny, DM; Muñoz, A; Myers, J; Myklebost, O; Möller, P; Nagae, G; Nagrial, AM; Nahal-Bose, HK; Nakagama, H; Nakagawa, H; Nakamura, H; Nakamura, T; Nakano, K; Nandi, T; Nangalia, J; Nastic, M; Navarro, A; Navarro, FCP; Neal, DE; Nettekoven, G; Newell, F; Newhouse, SJ; Newton, Y; Ng, AWT; Ng, A; Nicholson, J; Nicol, D; Nie, Y; Nielsen, GP; Nielsen, MM; Nik-Zainal, S; Noble, MS; Nones, K; Northcott, PA; Notta, F; O’Connor, BD; O’Donnell, P; O’Donovan, M; O’Meara, S; O’Neill, BP; O’Neill, JR; Ocana, D; Ochoa, A; Oesper, L; Ogden, C; Ohdan, H; Ohi, K; Ohno-Machado, L; Oien, KA; Ojesina, AI; Ojima, H; Okusaka, T; Omberg, L; Ong, CK; Ossowski, S; Ott, G; Ouellette, BFF; P’ng, C; Paczkowska, M; Paiella, S; Pairojkul, C; Pajic, M; Pan-Hammarström, Q; Papaemmanuil, E; Papatheodorou, I; Paramasivam, N; Park, JW; Park, J; Park, K; Park, K; Park, PJ; Parker, JS; Parsons, SL; Pass, H; Pasternack, D; Pastore, A; Patch, A; Pauporté, I; Pea, A; Pearson, JV; Pedamallu, CS; Pedersen, JS; Pederzoli, P; Peifer, M; Pennell, NA; Perou, CM; Perry, MD; Petersen, GM; Peto, M; Petrelli, N; Petryszak, R; Pfister, SM; Phillips, M; Pich, O; Pickett, HA; Pihl, TD; Pillay, N; Pinder, S; Pinese, M; Pinho, AV; Pitkänen, E; Pivot, X; Piñeiro-Yáñez, E; Planko, L; Plass, C; Polak, P; Pons, T; Popescu, I; Potapova, O; Prasad, A; Preston, SR; Prinz, M; Pritchard, AL; Prokopec, SD; Provenzano, E; Puente, XS; Puig, S; Puiggròs, M; Pulido-Tamayo, S; Pupo, GM; Purdie, CA; Quinn, MC; Rabionet, R; Rader, JS; Radlwimmer, B; Radovic, P; Raeder, B; Raine, KM; Ramakrishna, M; Ramakrishnan, K; Ramalingam, S; Raphael, BJ; Rathmell, WK; Rausch, T; Reifenberger, G; Reimand, J; Reis-Filho, J; Reuter, V; Reyes-Salazar, I; Reyna, MA; Reynolds, SM; Rheinbay, E; Riazalhosseini, Y; Richardson, AL; Richter, J; Ringel, M; Ringnér, M; Rino, Y; Rippe, K; Roach, J; Roberts, LR; Roberts, ND; Roberts, SA; Robertson, AG; Robertson, AJ; Rodriguez, JB; Rodriguez-Martin, B; Rodríguez-González, FG; Roehrl, MHA; Rohde, M; Rokutan, H; Romieu, G; Rooman, I; Roques, T; Rosebrock, D; Rosenberg, M; Rosenstiel, PC; Rosenwald, A; Rowe, EW; Royo, R; Rozen, SG; Rubanova, Y; Rubin, MA; Rubio-Perez, C; Rudneva, VA; Rusev, BC; Ruzzenente, A; Rätsch, G; Sabarinathan, R; Sabelnykova, VY; Sadeghi, S; Sahinalp, SC; Saini, N; Saito-Adachi, M; Saksena, G; Salcedo, A; Salgado, R; Salichos, L; Sallari, R; Saller, C; Salvia, R; Sam, M; Samra, JS; Sanchez-Vega, F; Sander, C; Sanders, G; Sarin, R; Sarrafi, I; Sasaki-Oku, A; Sauer, T; Sauter, G; Saw, RPM; Scardoni, M; Scarlett, CJ; Scarpa, A; Scelo, G; Schadendorf, D; Schein, JE; Schilhabel, MB; Schlesner, M; Schlomm, T; Schmidt, HK; Schramm, S; Schreiber, S; Schultz, N; Schumacher, SE; Schwarz, RF; Scolyer, RA; Scott, D; Scully, R; Seethala, R; Segre, AV; Selander, I; Semple, CA; Senbabaoglu, Y; Sengupta, S; Sereni, E; Serra, S; Sgroi, DC; Shackleton, M; Shah, NC; Shahabi, S; Shang, CA; 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Publication
Nature Communications

Abstract
In the published version of this paper, the members of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortiumwere listed in the Supplementary Information; however, these members shouldhave been included in themainpaper.The originalArticle has been corrected to include the members and affiliations of the PCAWG Consortium in the main paper; the corrections have been made to the HTML version of the Article but not the PDF version. In the PCAWG Transcriptome Working Group, the affiliation ‘BioForA, French National Institute for Agriculture, Food, and Environment (INRAE),ONF,Orléans, France’ for Aurélien Chateignerwas alsomissing. The original Article has been corrected. Additional corrections to affiliations have been made to the PDF and HTML versions of the original Article for consistency of information between the PCAWG list and the main paper. © The Author(s) 2022.

2022

Precipitation-driven gamma radiation enhancement over the Atlantic Ocean

Authors
Barbosa, SM; Dias, N; Almeida, C; Silva, GA; Ferreira, A; Camilo, A; Silva, E;

Publication

Abstract

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