415 results on '"Guerrero JM"'
Search Results
2. Stray Flux Sensors Core Impact on the Condition Monitoring of Electrical Machines
- Author
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Tian, Pengfei, primary, Platero, Carlos A, primary, Gyftakis, Konstantinos N, primary, and Guerrero, JM, primary
- Published
- 2020
- Full Text
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3. Modeling, Oscillation Analysis and Distributed Stabilization Control of Autonomous PV-based Microgrids
- Author
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Zhao, Z, Xie, J, Gong, S, Luo, X, Wang, Y, Lai, CS, Yang, P, Lai, LL, and Guerrero, JM
- Subjects
Voltage control ,Power system dynamics ,Oscillators ,Inverters ,Microgrids ,Damping ,Power system stability - Abstract
Driven by rising energy demand and the goal of carbon neutrality, renewable energy generations (REGs), especially photovoltaic (PV) generations, are widely used in the urban power energy systems. While the intelligent control of microgrids (MG) brings economic and efficient operation, its potential stability problem cannot be ignored. To date, most of the research on modeling, analyzing and enhancing the stability of MG usually assume the DC-link as an ideal voltage source. However, this practice of ignoring the dynamics of DC-link may omit the latent oscillation phenomena of autonomous PV-based MG. First, this paper establishes a complete dynamic model of autonomous PV-based MG including PV panels and DC-link. Different from previous conclusions of idealizing DC-link dynamics, participation factor analysis finds the potential impact of DC-link dynamics on system dynamic performance, and different influence factors including critical control parameters and non-linear V-I output characteristic of PV array are considered to further reveal oscillation mechanisms. Second, based on the average consensus algorithm, a distributed stabilization controller with strong robustness is proposed to enhance stability of the PV-based MG, which does not affect the steady-state performance of the system. Finally, the correctness of all theoretical analysis and the effectiveness of the proposed controller are verified by time domain simulation and hardware-in-loop tests. 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 51907031)
- Published
- 2023
4. Optimal Investment Planning of Bankable Multi-Carrier Microgrid Networks
- Author
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Azimian, M, Amir, V, Mohseni, S, Brent, AC, Bazmohammadi, N, Guerrero, JM, Azimian, M, Amir, V, Mohseni, S, Brent, AC, Bazmohammadi, N, and Guerrero, JM
- Abstract
Multi-carrier microgrids are increasingly recognized to play a critical role in capturing the synergies between various vectors of energy, including electricity, gas, and heating/cooling systems, thereby providing an effective platform for handling the complexities associated with the dynamic interactions of the system components. While a recent, growing body of the literature has conclusively shown the effectiveness of multi-carrier microgrids in improving the business cases of localized energy solutions with high penetrations of renewables, the potential benefits associated with interconnecting neighboring multi-carrier microgrids to form networked systems are less well-explored. This is particularly important as networked multi-carrier microgrids capable of trading energy with each other during grid outages can significantly improve the resilience of the aggregated system, whilst at the same time reducing the total discounted costs. In response, this paper introduces an integrated planning framework, formulated as a mixed-integer linear programming problem, for the optimal planning of neighboring multi-carrier microgrids in the presence of demand-side flexibility resources with the aim of minimizing the total discounted cost of the networked microgrids. Based on the numerical evidence obtained from the application of the proposed method to a test-case system, the integrated planning optimization framework's effectiveness in improving the economics and resilience of a cluster of electrically coupled multi-carrier microgrids is validated. More specifically, the numerical simulations confirm the proposed model's effectiveness in a significant reduction of the under-utilized storage and dispatchable generation capacities, as well as the otherwise-curtailed non-dispatchable generations. Accordingly, the findings from this study have important implications for accelerating the transition to locally more reliable, affordable, autonomous microgrids.
- Published
- 2022
5. Development of Frequency-Fixed All-Pass Filter based Single-Phase Phase-Locked Loop
- Author
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Gautam, S, Xiao, W, Lu, DD-C, Ahmed, H, Guerrero, JM, Gautam, S, Xiao, W, Lu, DD-C, Ahmed, H, and Guerrero, JM
- Abstract
Phase-locked loops (PLL) are widely used in the synchronization of grid interfaced power converters. One solution is based on orthogonal signal generation (OSG), which requires the grid frequency information for their appropriate operation. This article developed a new solution to achieve the PLL function for single-phase grid interconnection but eradicate additional frequency feedback loops in the traditional architecture of all-pass filter PLL (APF-PLL). Four new topologies are developed along with their small-signal modeling and dynamic analysis. A thorough comparison among them on their dynamic response, steady-state accuracy, implementation, and disturbance rejection capability is carried out. Finally, the best approach of frequency-fixed (FF) APF-PLL is experimentally evaluated with frequency adaptive APF-PLL and FF PLLs belonging to time delay (TD) and second-order generalized integrator (SOGI) families.
- Published
- 2022
6. Mapping the human genetic architecture of COVID-19
- Author
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Niemi, MEK, Karjalainen, J, Liao, RG, Neale, BM, Daly, M, Ganna, A, Pathak, GA, Andrews, SJ, Kanai, M, Veerapen, K, Fernandez-Cadenas, I, Schulte, EC, Striano, P, Marttila, M, Minica, C, Marouli, E, Karim, MA, Wendt, FR, Savage, J, Sloofman, L, Butler-Laporte, G, Kim, H-N, Kanoni, S, Okada, Y, Byun, J, Han, Y, Uddin, MJ, Smith, GD, Willer, CJ, Buxbaum, JD, Mehtonen, J, Finucane, H, Cordioli, M, Martin, AR, Zhou, W, Pasaniuc, B, Julienne, H, Aschard, H, Shi, H, Yengo, L, Polimanti, R, Ghoussaini, M, Schwartzentruber, J, Dunham, I, Chwialkowska, K, Francescatto, M, Trankiem, A, Balaconis, MK, Davis, L, Lee, S, Priest, J, Renieri, A, Sankaran, VG, van Heel, D, Deelen, P, Richards, JB, Nakanishi, T, Biesecker, L, Kerchberger, VE, Kenneth, J, Mari, F, Bernasconi, A, Ceri, S, Canakoglu, A, Wolford, B, Faucon, A, Dutta, AK, Schurmann, C, Harry, E, Birney, E, Nguyen, H, Nasir, J, Kaunisto, M, Solomonson, M, Dueker, N, Vadgama, N, Limou, S, Rahmouni, S, Mbarek, H, Darwish, D, Uddin, MM, Albertos, R, Perez-Tur, J, Li, R, Folkersen, L, Moltke, I, Koelling, N, Teumer, A, Kousathanas, A, Utrilla, A, Verdugo, RA, Zarate, R, Medina-Gomez, C, Gomez-Cabrero, D, Carnero-Montoro, E, Cadilla, CL, Moreno-Estrada, A, Garmendia, A, Moya, L, Sedaghati-Khayat, B, Boua, PR, Fave, M-J, Francioli, L, Lemacon, A, Migeotte, I, Patel, S, Varnai, R, Szentpeteri, JL, Sipeky, C, Colombo, F, von Hohenstaufen, K, Lio, P, Vallerga, C, Wang, Q, Tanigawa, Y, Im, H, Han, C, Song, H, Lim, J, Lee, Y, Kim, S, Im, S, Atanasovska, B, Ahmad, HF, Boer, C, Jansen, P, Franke, L, Kaja, E, Pasko, D, Kennis-Szilagyi, I, Kornilov, SA, Prijatelj, V, Prokic, I, Sivanadhan, I, Perumal, S, Esmaeeli, S, Pearson, NM, Auton, A, Shelton, JF, Shastri, AJ, Filshtein-Sonmez, T, Coker, D, Symons, A, Esparza-Gordillo, J, Aslibekyan, S, O'Connell, J, Ye, C, Weldon, CH, Perera, M, O'Leary, K, Tuck, M, O'Brien, T, Meltzer, D, O'Donnell, P, Nutescu, E, Yang, G, Alarcon, C, Herrmann, S, Mazurek, S, Banagan, J, Hamidi, Z, Barbour, A, Raffat, N, Moreno, D, Friedman, P, Ferwerda, B, van de Beek, D, Brouwer, MC, Vlaar, APJ, Wiersinga, WJ, Posthuma, D, Tissink, E, Zwinderman, AHK, Uffelmann, E, van Agtmael, M, Algera, AG, van Baarle, F, Bax, D, Beudel, M, Bogaard, HJ, Bomers, M, Bonta, PI, Bos, L, Botta, M, de Brabander, J, de Bree, G, de Bruin, S, Bugiani, M, Bulle, E, Chouchane, O, Cloherty, A, Dongelmans, D, Elbers, P, Fleuren, L, Geerlings, S, Geerts, B, Geijtenbeek, T, Girbes, A, Goorhuis, B, Grobusch, MP, Hafkamp, F, Hagens, L, Hamann, J, Harris, V, Hemke, R, Hermans, SM, Heunks, L, Hollmann, M, Horn, J, Hovius, JW, de Jong, MD, Koning, R, van Mourik, N, Nellen, J, Nossent, EJ, Paulus, F, Peters, E, van der Poll, T, Preckel, B, Prins, JM, Raasveld, J, Reijnders, T, Schinkel, M, Schultz, MJ, Schuurman, A, Sigaloff, K, Smit, M, Stijnis, CS, Stilma, W, Teunissen, C, Thoral, P, Tsonas, A, van der Valk, M, Veelo, D, de Vries, H, van Vugt, M, Wouters, D, Minnaar, RP, Kromhout, A, van Uffelen, KWJ, Wolterman, RA, Roberts, G, Park, D, Ball, CA, Coignet, M, McCurdy, S, Knight, S, Partha, R, Rhead, B, Zhang, M, Berkowitz, N, Gaddis, M, Noto, K, Ruiz, L, Pavlovic, M, Hong, EL, Rand, K, Girshick, A, Guturu, H, Baltzell, AH, Guntz, J, Beguin, Y, Pigazzini, S, Nkambule, L, Bouysran, Y, Busson, A, Peyrassol, X, Wilkin, F, Pichon, B, Smits, G, Vandernoot, I, Goffard, J-C, Georges, M, Moutschen, M, Misset, B, Darcis, G, Guiot, J, Jadot, L, Azarzar, S, Dellot, P, Gofflot, S, Claassen, S, Bertrand, A, Parzibut, G, Clarinval, M, Moermans, C, Malaise, O, El Kandoussi, K, Thonon, R, Huynen, P, Mesdagh, A, Melo, S, Jacques, N, Di Valentin, E, Giroule, F, Collignon, A, Radermecker, C, Lebrun, M, Peree, H, Latour, S, Barada, O, Sanchez, J, Josse, C, Boujemla, B, Meunier, M, Mariavelle, E, Anania, S, Gazon, H, Juszczak, D, Fadeur, M, Camby, S, Meuris, C, Thys, M, Jacques, J, Henket, M, Leonard, P, Frippiat, F, Giot, J-B, Sauvage, A-S, Von Frenckell, C, Mni, M, Wery, M, Staderoli, A, Belhaj, Y, Lambermont, B, Morrison, DR, Mooser, V, Forgetta, V, Ghosh, B, Laurent, L, Belisle, A, Henry, D, Abdullah, T, Adeleye, O, Mamlouk, N, Kimchi, N, Afrasiabi, Z, Rezk, N, Vulesevic, B, Bouab, M, Guzman, C, Petitjean, L, Tselios, C, Xue, X, Afilalo, J, Afilalo, M, Oliveira, M, Brenner, B, Brassard, N, Durand, M, Schurr, E, Lepage, P, Ragoussis, J, Auld, D, Chasse, M, Kaufmann, DE, Lathrop, GM, Adra, D, Davis, LK, Cox, NJ, Below, JE, Sealock, JM, Faucon, AB, Shuey, MM, Polikowsky, HG, Petty, LE, Shaw, DM, Chen, H-H, Zhu, W, Ludwig, KU, Schroeder, J, Maj, C, Rolker, S, Noethen, MM, Fazaal, J, Keitel, V, Jensen, B-EO, Feldt, T, Kurth, I, Marx, N, Dreher, M, Pink, I, Cornberg, M, Illig, T, Lehmann, C, Schommers, P, Augustin, M, Rybniker, J, Knopp, L, Eggermann, T, Volland, S, Altmueller, J, Berger, MM, Brenner, T, Hinney, A, Witzke, O, Bals, R, Herr, C, Ludwig, N, Walter, J, Fuchsberger, C, Pattaro, C, De Grandi, A, Pramstaller, P, Emmert, D, Melotti, R, Foco, L, Mascalzoni, D, Gogele, M, Domingues, F, Hicks, A, Gignoux, CR, Wicks, SJ, Crooks, K, Barnes, KC, Daya, M, Shortt, J, Rafaels, N, Chavan, S, Goldstein, DB, Kiryluk, K, Sengupta, S, Chung, W, Reilly, MP, Khan, A, Wang, C, Povysil, G, Bhardwaj, N, Gharavi, AG, Ionita-Laza, I, Shang, N, O'Byrne, SM, Nandakumar, R, Menon, A, So, YS, Hod, E, Pendrick, D, Park, S-K, Kim, H-L, Kang, CK, Lee, H-J, Song, K-H, Yoon, KJ, Paik, N-J, Seok, W, Yoon, H, Joo, E-J, Chang, Y, Ryu, S, Park, WB, Park, JS, Park, KU, Ham, SY, Jung, J, Kim, ES, Kim, HB, Ellinghaus, D, Degenhardt, F, Caceres, M, Juzenas, S, Lenz, TL, Albillos, A, Julia, A, Heidecker, B, Garcia, F, Kurth, F, Tran, F, Hanses, F, Zoller, H, Holter, JC, Fernandez, J, Sander, LE, Rosenstiel, P, Koehler, P, de Cid, R, Asselta, R, Schreiber, S, Hehr, U, Prati, D, Baselli, G, Valenti, L, Bujanda, L, Banales, JM, Duga, S, D'Amato, M, Romero-Gomez, M, Buti, M, Invernizzi, P, Franke, A, Hov, JR, Karlsen, TH, Folseraas, T, Maya-Miles, D, Teles, A, Azuure, C, Wacker, EM, Uellendahl-Werth, F, Elabd, H, Arora, J, Lerga-Jaso, J, Wienbrandt, L, Ruehlemann, MC, Wendorff, M, Vadla, MS, Lenning, OB, Oezer, O, Myhre, R, Raychaudhuri, S, Tanck, A, Gassner, C, Hemmrich-Stanisak, G, Kaessens, J, Basso, MEF, Schulzky, M, Wittig, M, Braun, N, Wesse, T, Albrecht, W, Yi, X, Ortiz, AB, Garrido Chercoles, A, Ruiz, A, Mantovani, A, Holten, AR, Mayer, A, Cherubini, A, Protti, A, Aghemo, A, Gerussi, A, Ramirez, A, Braun, A, Barreira, A, Lleo, A, Kildal, AB, Glueck, A, Carreras Nolla, A, Latiano, A, Dyrhol-Riise, AM, Muscatello, A, Voza, A, Rando-Segura, A, Solier, A, Karina, B, Cortes, B, Mateos, B, Nafria-Jimenez, B, Schaefer, B, Bellinghausen, C, Ferrando, C, Quereda, C, Skurk, C, Thibeault, C, Spinner, CD, Lange, C, Hu, C, Cappadona, C, Bianco, C, Sancho, C, Hoff, DAL, Galimberti, D, Jimenez, D, Pestana, D, Toapanta, D, Azzolini, E, Scarpini, E, Helbig, ET, Urrechaga, E, Paraboschi, EM, Pontali, E, Reverter, E, Navas, E, Arana, E, Garcia Sanchez, F, Ceriotti, F, Malvestiti, F, Mesonero, F, Pezzoli, G, Lamorte, G, Neb, H, My, I, Hernandez, I, de Rojas, I, Galvan-Femenia, I, Heyckendorf, J, Badia, JR, Schneider, J, Goikoetxea, J, Kraft, J, Mueller, KE, Gaede, KI, Garcia-Etxebarria, K, Tonby, K, Heggelund, L, Izquierdo-Sanchez, L, Sumoy, L, Lippert, LJ, Terranova, L, Garbarino, L, Tellez, L, Roade, L, Ostadreza, M, Intxausti, M, Kogevinas, M, Gutierrez-Stampa, MA, Vehreschild, MJGT, Marquie, M, Castoldi, M, Cecconi, M, Boada, M, Seilmaier, MJ, Mazzocco, M, Rodriguez-Gandia, M, Imaz Ayo, N, Blay, N, Martinez, N, Cornely, OA, Palmieri, O, Tentorio, P, Rodrigues, PM, Espana, PP, Hoffmann, P, Bacher, P, Suwalski, P, de Pablo, R, Nieto, R, Badalamenti, S, Ciesek, S, Bombace, S, Wilfling, S, Brunak, S, Heilmann-Heimbach, S, Ripke, S, Bahmer, T, Landmesser, U, Protzer, U, Rimoldi, V, Skogen, V, Andrade, V, Moreno, V, Poller, W, Farre, X, Wang, X, Khodamoradi, Y, Karadeniz, Z, de Salazar, A, Palom, A, Garcia-Fernandez, A-E, Blanco-Grau, A, Zanella, A, Bandera, A, Nebel, A, Biondi, A, Caba Llero-Garralda, A, Gori, A, Lind, A, Fracanzani, AL, Peschuck, A, Pesenti, A, De la Horra, C, Milani, C, Paccapelo, C, Angelini, C, Cea, C, Muniz-Diaz, E, Sandoval, E, Calderon, EJ, Solligard, E, Aziz, F, Martinelli-Boneschi, F, Peyvandi, F, Blasi, F, Medrano, FJ, Rodriguez-Frias, F, Mueller, F, Grasselli, G, Costantino, G, Cardamone, G, Foti, G, Matullo, G, Kurihara, H, Afset, JE, Damas, JK, Ampuero, J, Martin, J, Erdmann, J, Bergan, J, Goerg, S, Ferrusquia-Acosta, J, Hernandez Quero, J, Delgado, J, Guerrero, JM, Risnes, K, Bettini, LR, Moreira, L, Gustad, LT, Santoro, L, Scudeller, L, Riveiro-Barciela, M, Schaefer, M, Carrabba, M, Valsecchi, MG, Hernandez-Tejero, M, Acosta-Herrera, M, D'Angio, M, Baldini, M, Cazzaniga, M, Ciccarelli, M, Bocciolone, M, Miozzo, M, Chueca, N, Montano, N, Faverio, P, Preatoni, P, Bonfanti, P, Omodei, P, Castro, P, Ferrer, R, Gualtierotti, R, Gallego-Duran, R, Morilla, R, Haider, S, Marsal, S, Aneli, S, Pelusi, S, Bosari, S, Aliberti, S, Dudman, S, Zheng, T, Pumarola, T, Gonzalez Cejudo, T, Monzani, V, Friaza, V, Peter, W, Dopazo, X, May, S, Grimsrud, MM, Gudbjartsson, DF, Stefansson, K, Sulem, P, Sveinbjornsson, G, Melsted, P, Norddahl, G, Moore, KHS, Thorsteinsdottir, U, Holm, H, Alarcon-Riquelme, ME, Bernardo, D, Martinez-Bueno, M, Rojo Rello, S, Magi, R, Milani, L, Metspalu, A, Laisk, T, Lall, K, Lepamets, M, Esko, T, Reimann, E, Naaber, P, Laane, E, Pesukova, J, Peterson, P, Kisand, K, Tabri, J, Allos, R, Hensen, K, Starkopf, J, Ringmets, I, Tamm, A, Kallaste, A, Alavere, H, Metsalu, K, Puusepp, M, Kristiansson, K, Koskelainen, S, Perola, M, Donner, K, Kivinen, K, Palotie, A, Rivolta, C, Bochud, P-Y, Bibert, S, Boillat, N, Nussle, SG, Albrich, W, Quinodoz, M, Kamdar, D, Suh, N, Neofytos, D, Erard, V, Voide, C, Bochud, PY, Friolet, R, Vollenweider, P, Pagani, JL, Oddo, M, zu Bentrup, FM, Conen, A, Clerc, O, Marchetti, O, Guillet, A, Guyat-Jacques, C, Foucras, S, Rime, M, Chassot, J, Jaquet, M, Viollet, RM, Lannepoudenx, Y, Portopena, L, Desgranges, F, Filippidis, P, Guery, B, Haefliger, D, Kampouri, EE, Manuel, O, Munting, A, Iou-Olivgeris, MP, Regina, J, Rochat-Stettler, L, Suttels, V, Tadini, E, Tschopp, J, Van Singer, M, Viala, B, Boillat-Blanco, N, Brahier, T, Hugli, O, Meuwly, JY, Pantet, O, Bochud, M, D'Acremont, V, Younes, SE, Albrich, WC, Cerny, A, O'Mahony, L, von Mering, C, Frischknecht, M, Kleger, G-R, Filipovic, M, Kahlert, CR, Wozniak, H, Negro, TR, Pugin, J, Bouras, K, Knapp, C, Egger, T, Perret, A, Montillier, P, di Bartolomeo, C, Barda, B, Carreras, A, Mercader, JM, Guindo-Martinez, M, Torrents, D, Garcia-Aymerich, J, Castano-Vinyals, G, Dobano, C, Gori, M, Mondelli, MU, Castelli, F, Vaghi, M, Rusconi, S, Montagnani, F, Bargagli, E, Franchi, F, Mazzei, MA, Cantarini, L, Tacconi, D, Feri, M, Scala, R, Spargi, G, Nencioni, C, Bandini, M, Caldarelli, GP, Spagnesi, M, Canaccini, A, Ognibene, A, Monforte, AD, Girardis, M, Antinori, A, Francisci, D, Schiaroli, E, Scotton, PG, Panese, S, Scaggiante, R, Della Monica, M, Capasso, M, Fiorentino, G, Castori, M, Aucella, F, Di Biagio, A, Masucci, L, Valente, S, Mandala, M, Zucchi, P, Giannattasio, F, Coviello, DA, Mussini, C, Bosio, G, Tavecchia, L, Crotti, L, Rizzi, M, La Rovere, MT, Sarzi-Braga, S, Bussotti, M, Ravaglia, S, Artuso, R, Perrella, A, Romani, D, Bergomi, P, Catena, E, Vincenti, A, Ferri, C, Grassi, D, Pessina, G, Tumbarello, M, Di Pietro, M, Sabrina, R, Luchi, S, Barbieri, C, Acquilini, D, Andreucci, E, Paciosi, F, Segala, FV, Tiseo, G, Falcone, M, Lista, M, Poscente, M, De Vivo, O, Petrocelli, P, Guarnaccia, A, Baroni, S, Perticaroli, V, Furini, S, Dei, S, Benetti, E, Picchiotti, N, Sanarico, M, Pinoli, P, Raimondi, F, Biscarini, F, Stella, A, Bergomi, M, Zguro, K, Capitani, K, Tanfoni, M, Fallerini, C, Daga, S, Baldassarri, M, Fava, F, Frullanti, E, Valentino, F, Doddato, G, Giliberti, A, Tita, R, Amitrano, S, Bruttini, M, Croci, S, Meloni, I, Mencarelli, MA, Lo Rizzo, C, Pinto, AM, Beligni, G, Tommasi, A, Di Sarno, L, Palmieri, M, Carriero, ML, Alaverdian, D, Iuso, N, Inchingolo, G, Busani, S, Bruno, R, Vecchia, M, Belli, MA, Mantovani, S, Ludovisi, S, Quiros-Roldan, E, Antoni, MD, Zanella, I, Siano, M, Emiliozzi, A, Fabbiani, M, Rossetti, B, Zanelli, G, Bergantini, L, D'Alessandro, M, Cameli, P, Bennet, D, Anedda, F, Marcantonio, S, Scolletta, S, Guerrini, S, Conticini, E, Frediani, B, Spertilli, C, Donati, A, Guidelli, L, Corridi, M, Croci, L, Piacentini, P, Desanctis, E, Cappelli, S, Verzuri, A, Anemoli, V, Pancrazi, A, Lorubbio, M, Merlini, E, Miraglia, FG, Venturelli, S, Cossarizza, A, Vergori, A, Gabrieli, A, Riva, A, Andretta, F, Gatti, F, Parisi, SG, Baratti, S, Piscopo, C, Russo, R, Andolfo, I, Iolascon, A, Carella, M, Merla, G, Squeo, GM, Raggi, P, Marciano, C, Perna, R, Bassetti, M, Sanguinetti, M, Giorli, A, Salerni, L, Parravicini, P, Menatti, E, Trotta, T, Coiro, G, Lena, F, Martinelli, E, Mancarella, S, Gabbi, C, Maggiolo, F, Ripamonti, D, Bachetti, T, Suardi, C, Parati, G, Botta, G, Di Domenico, P, Rancan, I, Bianchi, F, Colombo, R, van Heel, DA, Hunt, KA, Trembath, RC, Huang, QQ, Martin, HC, Mason, D, Trivedi, B, Wright, J, Finer, S, Griffiths, CJ, Akhtar, S, Anwar, M, Arciero, E, Ashraf, S, Breen, G, Chung, R, Curtis, CJ, Chowdhury, M, Colligan, G, Deloukas, P, Durham, C, Griffiths, C, Hurles, M, Hussain, S, Islam, K, Lavery, C, Lee, SH, Lerner, R, MacArthur, D, MacLaughlin, B, Martin, H, Miah, S, Newman, B, Safa, N, Tahmasebi, F, Smith, AV, Boughton, AP, Li, KW, LeFaive, J, Annis, A, Jannes, CE, Krieger, JE, Pereira, AC, Velho, M, Marques, E, Lima, IR, Tada, MT, Valino, K, McCarthy, M, Rosenberger, C, Lee, JE, Chang, D, Hammer, C, Hunkapiller, J, Mahajan, A, Pendergrass, S, Sucheston-Campbell, L, Yaspan, B, Lee, HS, Shin, E, Jang, HY, Kym, S, Kim, Y-S, Jeong, H, Kwon, KT, Kim, S-W, Kim, JY, Jang, YR, Kim, HA, Lee, JY, Choe, K-W, Kang, YM, Jee, SH, Jung, KJ, Parikh, V, Ashley, E, Wheeler, M, Rivas, M, Bustamante, C, 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Hirofumi, Ikemura, Shinnosuke, Chubachi, Shotaro, Okamori, Satoshi, Terai, Hideki, Tanaka, Hiromu, Morita, Atsuho, Lee, Ho, Asakura, Takanori, Sasaki, Junichi, Morisaki, Hiroshi, Uwamino, Yoshifumi, Nanki, Kosaku, Mikami, Yohei, Tomono, Kazunori, Kato, Kazuto, Matsuda, Fumihiko, Takahashi, Meiko, Hizawa, Nobuyuki, Takeda, Yoshito, Hirata, Haruhiko, Shiroyama, Takayuki, Miyawaki, Satoru, Suzuki, Ken, Maeda, Yuichi, Nii, Takuro, Noda, Yoshimi, Niitsu, Takayuki, Adachi, Yuichi, Enomoto, Takatoshi, Amiya, Saori, Hara, Reina, Takahashi, Kunihiko, Anzai, Tatsuhiko, Hasegawa, Takanori, Ito, Satoshi, Koike, Ryuji, Endo, Akifumi, Uchimura, Yuji, Miyazaki, Yasunari, Honda, Takayuki, Tateishi, Tomoya, Tohda, Shuji, Ichimura, Naoya, Sonobe, Kazunari, Sassa, Chihiro, Nakajima, Jun, Nannya, Yasuhito, Omae, Yosuke, Takahashi, Kazuhisa, Harada, Norihiro, Hiki, Makoto, Takagi, Haruhi, Nakamura, Ai, Tagaya, Etsuko, Kawana, Masatoshi, Arimura, Ken, Ishiguro, Takashi, Takayanagi, Noboru, Isono, Taisuke, Takaku, Yotaro, Takano, Kenji, Anan, Ryusuke, Nakajima, Yukiko, Nakano, Yasushi, Nishio, Kazumi, Ueda, Soichiro, Hayashi, Reina, Tateno, Hiroki, Hase, Isano, Yoshida, Shuichi, Suzuki, Shoji, Mitamura, Keiko, Saito, Fumitake, Ueda, Tetsuya, Azuma, Masanori, Nagasaki, Tadao, Yasui, Yoshinori, Hasegawa, Yoshinori, Mutoh, Yoshikazu, Yoshiyama, Takashi, Shoko, Tomohisa, Kojima, Mitsuaki, Adachi, Tomohiro, Ishikawa, Motonao, Takahashi, Kenichiro, Watanabe, Kazuyoshi, Manabe, Tadashi, Ito, Fumimaro, Fukui, Takahiro, Funatsu, Yohei, Koh, Hidefumi, Hirai, Yoshihiro, Kawashima, Hidetoshi, Narita, Atsuya, Niwa, Kazuki, Sekikawa, Yoshiyuki, Saito, Fukuki, Yoshiya, Kazuhisa, Yoshihara, Tomoyuki, Suzuki, Yusuke, Nakayama, Sohei, Masuzawa, Keita, Nishi, Koichi, Nishitsuji, Masaru, Tani, Maiko, Inoue, Takashi, Hirano, Toshiyuki, Kobayashi, Keigo, Miyazawa, Naoki, Kimura, Yasuhiro, Sado, Reiko, Ogura, Takashi, Kitamura, Hideya, Murohashi, Kota, Nakachi, Ichiro, Baba, Rie, Arai, Daisuke, Fuke, Satoshi, Saito, Hiroshi, Kuwahara, Naota, Fujiwara, Akiko, Okada, Takenori, Baba, Tomoya, Noda, Junya, Mashimo, Shuko, Yagi, Kazuma, Shiomi, Tetsuya, Hashiguchi, Mizuha, Odani, Toshio, Mochimaru, Takao, Oyamada, Yoshitaka, Mori, Nobuaki, Izumi, Namiki, Nagata, Kaoru, Taki, Reiko, Murakami, Koji, Yamada, Mitsuhiro, Sugiura, Hisatoshi, Hayashi, Kentaro, Shimizu, Tetsuo, Gon, Yasuhiro, Fujitani, Shigeki, Tsuchida, Tomoya, Yoshida, Toru, Kagaya, Takashi, Kita, Toshiyuki, Sakagami, Satoru, Kimizuka, Yoshifumi, Kawana, Akihiko, Nakamura, Yoshihiko, Ishikura, Hiroyasu, Takata, Tohru, Kikuchi, Takahide, Taniyama, Daisuke, Nakamura, Morio, Kodama, Nobuhiro, Kaneyama, Yasunari, Maeda, Shunsuke, Nagasaki, Yoji, Okamoto, Masaki, Ishihara, Sayoko, Ito, Akihiro, Chihara, Yusuke, Takeuchi, Mayumi, Onoi, Keisuke, Hashimoto, Naozumi, Wakahara, Keiko, Ando, Akira, Masuda, Makoto, Wakabayashi, Aya, Watanabe, Hiroki, Sageshima, Hisako, Nakada, Taka-Aki, Abe, Ryuzo, Shimada, Tadanaga, Kawamura, Kodai, Ichikado, Kazuya, Nishiyama, Kenta, Yamasaki, Masaki, Hashimoto, Satoru, Kusaka, Yu, Ohba, Takehiko, Isogai, Susumu, Takada, Minoru, Kanda, Hidenori, Komase, Yuko, Sano, Fumiaki, Asano, Koichiro, Oguma, Tsuyoshi, Harada, Masahiro, Takahashi, Takeshi, Shibusawa, Takayuki, Abe, Shinji, Kono, Yuta, Togashi, Yuki, Izumo, Takehiro, Inomata, Minoru, Awano, Nobuyasu, Ogawa, Shinichi, Ogata, Tomouki, Ishihara, Shoichiro, Kanehiro, Arihiko, Ozaki, Shinji, Fuchimoto, Yasuko, Kitagawa, Yuichiro, Yoshida, Shozo, Ogura, Shinji, Nishiyama, Kei, Yoshida, Kousuke, Beppu, Satoru, Fukuyama, Satoru, Eriguchi, Yoshihiro, Yonekawa, Akiko, Inoue, Yoshiaki, Yamagata, Kunihiro, Chiba, Shigeru, Narumoto, Osamu, Nagai, Hideaki, Ooshima, Nobuharu, Motegi, Mitsuru, Sagara, Hironori, Tanaka, Akihiko, Ohta, Shin, Shibata, Yoko, Tanino, Yoshinori, Sato, Yuki, Yamada, Yuichiro, Hashino, Takuya, Shinoki, Masato, Iwagoe, Hajime, Imamura, Tomonori, Umeda, Akira, Shimada, Hisato, Endo, Mayu, Hayashi, Shinichi, Takahashi, Mai, Nakano, Shigefumi, Yatomi, Masakiyo, Maeno, Toshitaka, Ishii, Tomoo, Utsugi, Mitsuyoshi, Ono, Akihiro, Kanaoka, Kensuke, Ihara, Shoichi, Komuta, Kiyoshi, Boezen, Marike, Claringbould, Annique, Lopera, Esteban, Warmerdam, Robert, Vonk, Judith. M., van Blokland, Irene, Lanting, Pauline, Ori, Anil P. S., Obeidat, Ma’En, Hernández Cordero, Ana I., Sin, Don D., Bossé, Yohan, Joubert, Philippe, Hao, Ke, Nickle, David, Timens, Wim, van den Berge, Maarten, Feng, Yen-Chen Anne, Mercader, Josep, Weiss, Scott T., Karlson, Elizabeth W., Smoller, Jordan W., Murphy, Shawn N., Meigs, James B., Woolley, Ann E., Green, Robert C., Perez, Emma F., Zöllner, Sebastian, Wang, Jiongming, Beck, Andrew, Sloofman, Laura G., Ascolillo, Steven, Sebra, Robert P., Collins, Brett L., Levy, Te, Sealfon, Stuart C., Jordan, Daniel M., Thompson, Ryan C., Gettler, Kyle, Chaudhary, Kumardeep, Belbin, Gillian M., Preuss, Michael, Hoggart, Clive, Choi, Sam, Underwood, Slayton J., Salib, Irene, Britvan, Bari, Keller, Katherine, Tang, Lara, Peruggia, Michael, Hiester, Liam L., Niblo, Kristi, Aksentijevich, Alexandra, Labkowsky, Alexander, Karp, Avromie, Zlatopolsky, Menachem, Zyndorf, Marissa, Charney, Alexander W., Beckmann, Noam D., Schadt, Eric E., Abul-Husn, Noura S., Cho, Judy H., Itan, Yuval, Kenny, Eimear E., Loos, Ruth J. F., Nadkarni, Girish N., Do, Ron, O’Reilly, Paul, Huckins, Laura M., Ferreira, Manuel A. R., Abecasis, Goncalo R., Leader, Joseph B., Cantor, Michael N., Justice, Anne E., Carey, Dave J., Chittoor, Geetha, Josyula, Navya Shilpa, Kosmicki, Jack A., Horowitz, Julie E., Baras, Ari, Gass, Matthew C., Yadav, Ashish, Mirshahi, Tooraj, Jan Hottenga, Jouke, Bartels, Meike, de Geus, Eco J. C., Nivard, Michel G., Verma, Anurag, Ritchie, Marylyn D., Rader, Daniel, Li, Binglan, Verma, Shefali S., Lucas, Anastasia, Bradford, Yuki, Zara, Federico, Salpietro, Vincenzo, Scala, Marcello, Iacomino, Michele, Scudieri, Paolo, Bocciardi, Renata, Minetti, Carlo, Riva, Antonella, Vari, Maria Stella, Rahier, Jean-Françoi, Giorgio, Elisa, Carli, Diana, Louis, Edouad, Bulik, Cynthia M., Landén, Mikael, Brusco, Alfredo, Ferrero, Giovanni Battista, Madia, Francesca, Fundín, Bengt, Ismail, Said I., Saad, Chadi, Al-Sarraj, Yaser, Badji, Radja Messai, Al-Muftah, Wadha, Al Thani, Asma, Afifi, Nahla, Klovins, Jani, Rovite, Vita, Rescenko, Raimond, Peculis, Raiti, Ustinova, Monta, Zeberg, Hugo, Frithiof, Robert, Hultström, Michael, Lipcsey, Miklo, Johnson, Ruth, Geschwind, Daniel H., Freimer, Nelson, Butte, Manish J., Ding, Yi, Chiu, Alec, Chang, Timothy S., Boutros, Paul, Moutsianas, Louka, Caulfield, Mark J., Scott, Richard H., Walker, Susan, Stuckey, Alex, Odhams, Christopher A., Rhodes, Daniel, Fowler, Tom, Rendon, Augusto, Chan, Georgia, Arumugam, Prabhu, Karczewski, Konrad J., Wilson, Daniel J., Spencer, Chris A., Crook, Derrick W., Wyllie, David H., O’Connell, Anne Marie, Atkinson, Elizabeth G., Tsuo, Kristin, Baya, Nikola, Turley, Patrick, Gupta, Rahul, Walters, Raymond K., Palmer, Duncan S., Sarma, Gopal, Cheng, Nathan, Lu, Wenhan, Churchhouse, Claire, Goldstein, Jacqueline I., King, Daniel, Seed, Cotton, Daly, Mark J., Bryant, Sam, Satterstrom, F. Kyle, Band, Gavin, Earle, Sarah G., Lin, Shang-Kuan, Arning, Nicola, Armstrong, Jacob, Rudkin, Justine K., Callier, Shawneequa, Cusick, Caroline, Soranzo, Nicole, Zhao, Jing Hua, Danesh, John, Di Angelantonio, Emanuele, Butterworth, Adam S., Sun, Yan V., Huffman, Jennifer E., Cho, Kelly, O’Donnell, Christopher J., Tsao, Phil, Gaziano, J. Michael, Peloso, Gina, Ho, Yuk-Lam, Mian, Michael, Scaggiante, Federica, Chang, Xiao, Glessner, Joseph R., Hakonarson, Hakon, Mcguigan, Peter J., Prockter Moore, Luke Stephen, Vizcaychipi, Marcela Paola, Hall, Kathryn, Campbell, Andy, Nichol, Ailstair, Ward, Geraldine, Page, Valerie Joan, Semple, Malcolm G., Adeniji, Kayode, Agranoff, Daniel, Agwuh, Ken, Ail, Dhiraj, Aldera, Erin L., Alegria, Ana, Angus, Brian, Ashish, Abdul, Atkinson, Dougal, Bari, Shahedal, Barlow, Gavin, Barnass, Stella, Barrett, Nichola, Bassford, Christopher, Basude, Sneha, Baxter, David, Beadsworth, Michael, Bernatoniene, Jolanta, Berridge, John, Best, Nicola, Bothma, Pieter, Chadwick, David, Brittain-Long, Robin, Bulteel, Naomi, Burden, Tom, Burtenshaw, Andrew, Caruth, Vikki, Chambler, Duncan, Chee, Nigel, Child, Jenny, Chukkambotla, Srikanth, Clark, Tom, Collini, Paul, Cosgrove, Catherine, Cupitt, Jason, Cutino-Moguel, Maria-Teresa, Dark, Paul, Dawson, Chri, Dervisevic, Samir, Donnison, Phil, Douthwaite, Sam, Drummond, Andrew, Durand, Ingrid, Dushianthan, Ahilanadan, Dyer, Tristan, Evans, Cariad, Eziefula, Chi, Fegan, Christopher, Finn, Adam, Fullerton, Duncan, Garg, Sanjeev, Garg, Atul, Gkrania-Klotsas, Effrossyni, Godden, Jo, Goldsmith, Arthur, Graham, Clive, Hardy, Elaine, Hartshorn, Stuart, Harvey, Daniel, Havalda, Peter, Hawcutt, Daniel B., Hobrok, Maria, Hodgson, Luke, Hormis, Anil, Jacobs, Michael, Jain, Susan, Jennings, Paul, Kaliappan, Agilan, Kasipandian, Vidya, Kegg, Stephen, Kelsey, Michael, Kendall, Jason, Kerrison, Caroline, Kerslake, Ian, Koch, Oliver, Koduri, Gouri, Koshy, George, Laha, Shondipon, Laird, Steven, Larkin, Susan, Leiner, Tama, Lillie, Patrick, Limb, Jame, Linnett, Vanessa, Little, Jeff, Lyttle, Mark, Macmahon, Michael, Macnaughton, Emily, Mankregod, Ravish, Masson, Huw, Matovu, Elijah, Mccullough, Katherine, Mcewen, Ruth, Meda, Manjula, Mills, Gary H., Minton, Jane, Ward, Karl, Mirfenderesky, Mariyam, Mohandas, Kavya, Mok, Quen, Moon, Jame, Moore, Elinoor, Morgan, Patrick, Morris, Craig, Mortimore, Katherine, Moses, Samuel, Mpenge, Mbiye, Mulla, Rohinton, Murphy, Michael, Nagel, Megan, Nagarajan, Thapa, Nelson, Mark, O’Shea, Matthew K., Otahal, Igor, Ostermann, Marlie, Pais, Mark, Panchatsharam, Selva, Papakonstantinou, Danai, Paraiso, Hassan, Patel, Brij, Pattison, Natalie, Pepperell, Justin, Peters, Mark, Phull, Mandeep, Pintus, Stefania, Pooni, Jagtur Singh, Post, Frank, Price, David, Prout, Rachel, Rae, Nikola, Reschreiter, Henrik, Reynolds, Tim, Richardson, Neil, Roberts, Mark, Roberts, Devender, Rose, Alistair, Rousseau, Guy, Ryan, Brendan, Saluja, Taranprit, Shah, Aarti, Shanmuga, Prad, Sharma, Anil, Shawcross, Anna, Sizer, Jeremy, Shankar-Hari, Manu, Smith, Richard, Snelson, Catherine, Spittle, Nick, Staines, Nikki, Stambach, Tom, Stewart, Richard, Subudhi, Pradeep, Szakmany, Tama, Tatham, Kate, Thomas, Jo, Thompson, Chri, Thompson, Robert, Tridente, Ascanio, Tupper-Carey, Darell, Twagira, Mary, Ustianowski, Andrew, Vallotton, Nick, Vincent-Smith, Lisa, Visuvanathan, Shico, Vuylsteke, Alan, Waddy, Sam, Wake, Rachel, Walden, Andrew, Welters, Ingeborg, Whitehouse, Tony, Whittaker, Paul, Whittington, Ashley, Papineni, Padmasayee, Wijesinghe, Meme, Williams, Martin, Wilson, Lawrence, Cole, Sarah, Winchester, Stephen, Wiselka, Martin, Wolverson, Adam, Wooton, Daniel G., Workman, Andrew, Yates, Bryan, Young, Peter, Beale, Rupert, Bretherick, Andrew D., Clohisey, Sara, Fourman, Max Head, Furniss, Jame, Gountouna, Elvina, Grimes, Graeme, Haley, Chri, Harrison, David, Hayward, Caroline, Keating, Sean, Klaric, Lucija, Klenerman, Paul, Law, Andy, Meynert, Alison M., Millar, Jonathan, Pairo-Castineira, Erola, Parkinson, Nichola, Ponting, Chris P., Porteous, David J., Rawlik, Konrad, Richmond, Anne, Rowan, Kathy, Russell, Clark D., Shen, Xia, Shih, Barbara, Tenesa, Albert, Vitart, Veronique, Wang, Bo, Wilson, James F., Wu, Yang, Yang, Jian, Yang, Zhijian, Zechner, Marie, Zhai, Ranran, Zheng, Chenqing, Norman, Lisa, Pius, Riinu, Drake, Thomas M., Fairfield, Cameron J., Knight, Stephen R., Mclean, Kenneth A., Murphy, Derek, Shaw, Catherine A., Dalton, Jo, Girvan, Michelle, Saviciute, Egle, Roberts, Stephanie, Harrison, Janet, Marsh, Laura, Connor, Marie, Halpin, Sophie, Jackson, Clare, Gamble, Carrol, Leeming, Gary, Law, Andrew, Wham, Murray, Hendry, Ro, Scott-Brown, Jame, Begg, Colin, Hinds, Charle, Wai Ho, Antonia Ying, Horby, Peter W., Knight, Julian, Ling, Lowell, Maslove, David, Mcauley, Danny, Montgomery, Hugh, Nichol, Alistair, Openshaw, Peter J. M., Summers, Charlotte, Walsh, Timothy, Armstrong, Lisa, Bates, Hayley, Dooks, Emma, Farquhar, Fiona, Hairsine, Brigid, Mcparland, C., Packham, Sophie, Alldis, Zoe, Astin-Chamberlain, Raine, Bibi, Fatima, Biddle, Jack, Blow, Sarah, Bolton, Matthew, Borra, Catherine, Bowles, Ruth, Burton, Maudrian, Choudhury, Yasmin, Collier, David, Cox, Amber, Easthope, Amy, Ebano, Patrizia, Fotiadis, Stavro, Gurasashvili, Jana, Halls, Rosslyn, Hartridge, Pippa, Kallon, Delordson, Kassam, Jamila, Lancoma-Malcolm, Ivone, Matharu, Maninderpal, May, Peter, Mitchelmore, Oliver, Newman, Tabitha, Patel, Mital, Pheby, Jane, Pinzuti, Irene, Prime, Zoe, Prysyazhna, Oleksandra, Shiel, Julian, Taylor, Melanie, Tierney, Carey, Wood, Suzanne, Zak, Anne, Zongo, Olivier, Forsey, Miranda, Nicholson, Anne, Riches, Joanne, Vertue, Mark, Wasson, Christopher, Finn, Stephanie, Green, Jackie, Collins, Erin, King, Bernadette, Grauslyte, Lina, Hussain, Musarat, Pogreban, Tatiana, Rosaroso, Lace, Salciute, Erika, Franke, George, Wong, Joanna, George, Aparna, Akeroyd, Louise, Bano, Shereen, Bromley, Matt, Gurr, Lucy, Lawton, Tom, Morgan, Jame, Sellick, Kirsten, Warren, Deborah, Wilkinson, Brian, Mcgowan, Janet, Ledgard, Camilla, Stacey, Amelia, Pye, Kate, Bellwood, Ruth, Bentley, Michael, Loosley, Ronda, Mcguinness, Heather, Tench, Helen, Wolf-Roberts, Rebecca, Gibson, Sian, Lyle, Amanda, Mcneela, Fiona, Radhakrishnan, Jayachandran, Hughes, Alistair, Ali, Asifa, Brady, Megan, Dale, Sam, Dance, Annalisa, Gledhill, Lisa, Greig, Jill, Hanson, Kathryn, Holdroyd, Kelly, Home, Marie, Kelly, Diane, Kitson, Ro, Matapure, Lear, Melia, Deborah, Mellor, Samantha, Nortcliffe, Tonicha, Pinnell, Jez, Robinson, Matthew, Shaw, Lisa, Shaw, Ryan, Thomis, Lesley, Wilson, Alison, Wood, Tracy, Bayo, Lee-Ann, Merwaha, Ekta, Ishaq, Tahira, Hanley, Sarah, Antcliffe, David, Banach, Dorota, Brett, Stephen, Coghlan, Phoebe, Fernandez, Ziortza, Gordon, Anthony, Rojo, Roceld, Arias, Sonia Sousa, Templeton, Maie, Jha, Rajeev, Krishnamurthy, Vinodh, Lim, Lai, Bi, Rehana, Scholefield, Barney, Ashton, Lydia, Williams, Alison, Cheyne, Claire, Saunderson, Anne, Allan, Angela, Anderson, Felicity, Kaye, Callum, Liew, Jade, Medhora, Jasmine, Scott, Teresa, Trumper, Erin, Botello, Adriana, Polgarova, Petra, Stroud, Katerina, Meaney, Eoghan, Jones, Megan, Ng, Anthony, Agrawal, Shruti, Pathan, Nazima, White, Deborah, Daubney, Esther, Elston, Kay, Parker, Robert, Reddy, Amie, Turner-Bone, Ian, Wilding, Laura, Harding, Peter, Jacob, Reni, Jones, Cathy, Denmade, Craig, Croft, Maria, White, Ian, Lim, Li, Griffin, Denise, Muchenje, Nycola, Mupudzi, Mcdonald, Partridge, Richard, Conyngham, Jo-Anna, Thomas, Rachel, Wright, Mary, Corral, Maria Alvarez, Bastion, Victoria, Clarke, Daphene, David, Beena, Kent, Harriet, Lorusso, Rachel, Lubimbi, Gamu, Murdoch, Sophie, Penacerrada, Melchizedek, Thomas, Alastair, Valentine, Jennifer, Vochin, Ana, Wulandari, Retno, Djeugam, Brice, Dawson, Joy, Garrioch, Sweyn, Tolson, Melanie, Aldridge, Jonathan, de Almeida Martins, Laura Gome, Carungcong, Jaime, Beavis, Sarah, Dale, Katie, Gascoyne, Rachel, Hawes, Joanne, Pritchard, Kelly, Stevenson, Lesley, Whileman, Amanda, Cowley, Anne, Highgate, Judith, Crawley, Rikki, Crew, Abigail, Cunningham, Mishell, Daniels, Allison, Harrison, Laura, Hope, Susan, Inweregbu, Ken, Jones, Sian, Lancaster, Nicola, Matthews, Jamie, Nicholson, Alice, Wray, Gemma, Benham, Leonie, Bradshaw, Zena, Brown, Joanna, Caswell, Melanie, Melling, Sarah, Preston, Stephen, Slawson, Nicola, Stoddard, Emma, Warden, Scott, Combes, Edward, Joefield, Teishel, Monnery, Sonja, Beech, Valerie, Trotman, Sallyanne, Hopkins, Bridget, Scriven, Jame, Thrasyvoulou, Laura, Willis, Heather, Anderson, Susan, Birch, Janine, Collins, Emma, Hammerton, Kate, O’Leary, Ryan, Abernathy, Caroline, Foster, Louise, Gratrix, Andrew, Martinson, Vicky, Parkinson, Priyai, Stones, Elizabeth, Carbral-Ortega, Llucia, Kapoor, Ritoo, Loader, David, Castle, Karen, Brandwood, Craig, Smith, Lara, Clark, Richard, Birchall, Katie, Kolakaluri, Laurel, Baines, Deborah, Sukumaran, Anila, Mapfunde, Isheunesu, Meredith, Megan, Morris, Lucy, Ryan, Lucy, Clark, Amy, Sampson, Julia, Peters, Cecilia, Dent, Martin, Langley, Margaret, Ashraf, Saima, Wei, Shuying, Andrew, Angela, Chablani, Manish, Kirkby, Amy, Netherton, Kimberley, Bates, Michelle, Dasgin, Jo, Gill, Jaspret, Nilsson, Annette, Apetri, Elena, Basikolo, Cathrine, Blackledge, Bethan, Catlow, Laura, Charles, Bethan, Doonan, Reece, Harris, Jade, Harvey, Alice, Horner, Daniel, Knowles, Karen, Lee, Stephanie, Lomas, Diane, Lyons, Chloe, Marsden, Tracy, Mclaughlan, Danielle, Mcmorrow, Liam, Pendlebury, Jessica, Perez, Jane, Poulaka, Maria, Proudfoot, Nicola, Slaughter, Melanie, Slevin, Kathryn, Thomas, Vicky, Walker, Danielle, Michael, Angiy, Collis, Matthew, Clark, Martyn, Coulding, Martina, Jude, Edward, Mccormick, Jacqueline, Mercer, Oliver, Potla, Darsh, Rehman, Hafiz, Savill, Heather, Turner, Victoria, Davey, Miriam, Golden, David, Seaman, Rebecca, Hunt, Jodie, Dearden, Joy, Dobson, Emma, Mulcahy, Michelle, Munt, Sheila, O’Connor, Grainne, Philbin, Jennifer, Rishton, Chloe, Tully, Redmond, Winnard, Sarah, Cagova, Lenka, Fofano, Adama, Garner, Lucie, Holcombe, Helen, Mepham, Sue, Mitchell, Alice Michael, Mwaura, Lucy, Praman, K., Vuylsteke, Alain, Zamikula, Julie, Bercades, Georgia, Brealey, David, Hass, Ingrid, Maccallum, Niall, Martir, Glady, Raith, Eamon, Reyes, Anna, Smyth, Deborah, Taylor, Abigail, Hughes, Rachel Anne, Thomas, Helen, Rees, Alun, Duskova, Michaela, Phipps, Janet, Brooks, Suzanne, Edwards, Michelle, Alexander, Peter, Allen, Schvearn, Bradley-Potts, Joanne, Brantwood, Craig, Egan, Jasmine, Felton, Timothy, Padden, Grace, Ward, Luke, Moss, Stuart, Glasgow, Susannah, Beesley, Kate, Board, Sarah, Kubisz-Pudelko, Agnieszka, Lewis, Alison, Perry, Je, Pippard, Lucy, Wood, Di, Buckley, Clare, Brown, Alison, Gregory, Jane, O’Connell, Susan, Smith, Tim, Belagodu, Zakaula, Fuller, Bridget, Gherman, Anca, Olufuwa, Olumide, Paramsothy, Remi, Stuart, Carmel, Oakley, Naomi, Kamundi, Charlotte, Tyl, David, Collins, Katy, Silva, Pedro, Taylor, June, King, Laura, Coates, Charlotte, Crowley, Maria, Wakefield, Phillipa, Beadle, Jane, Johnson, Laura, Sargeant, Janet, Anderson, Madeleine, Jardine, Catherine, Williams, Dewi, Parris, Victoria, Quaid, Sheena, Watson, Ekaterina, Melville, Julie, Naisbitt, Jay, Joseph, Rosane, Lazo, Maria, Walton, Olivia, Neal, Alan, Hill, Michaela, Kannan, Thogulava, Wild, Laura, Allan, Elizabeth, Darlington, Kate, Davies, Ffyon, Easton, Jack, Kumar, Sumit, Lean, Richard, Menzies, Daniel, Pugh, Richard, Qiu, Xinyi, Davies, Llino, Williams, Hannah, Scanlon, Jeremy, Davies, Gwyneth, Mackay, Callum, Lewis, Joannne, Rees, Stephanie, Coetzee, Samantha, Gales, Alistair, Raj, Meena, Sell, Craig, Langton, Helen, Watters, Malcolm, Novis, Catherine, Arbane, Gill, Bociek, Aneta, Campos, Sara, Grau, Neu, Jones, Tim Owen, Lim, Rosario, Marotti, Martina, Whitton, Christopher, Barron, Anthony, Collins, Ciara, Kaul, Sundeep, Passmore, Heather, Prendergast, Claire, Reed, Anna, Rogers, Paula, Shokkar, Rajvinder, Woodruff, Meriel, Middleton, Hayley, Polgar, Oliver, Nolan, Claire, Thwaites, Vicky, Mahay, Kanta, Sri-Chandana, Chunda, Scherewode, Joslan, Stephenson, Lorraine, Marsh, Sarah, Bancroft, Hollie, Bellamy, Mary, Carmody, Margaret, Daglish, Jacqueline, Moore, Faye, Rhodes, Joanne, Sangombe, Mirriam, Kadiri, Salma, Ayers, Amanda, Harrison, Wendy, North, Julie, Cavazza, Anna, Cockrell, Maeve, Corcoran, Eleanor, Depante, Maria, Finney, Clare, Jerome, Ellen, Mcphail, Mark, Nayak, Monalisa, Noble, Harriet, O’Reilly, Kevin, Pappa, Evita, Saha, Rohit, Saha, Sian, Smith, John, Knighton, Abigail, Gill, Mandy, Paul, Paul, Ratnam, Valli, Shelton, Sarah, Wynter, Inez, Baptista, David, Crowe, Rebecca, Fernandes, Rita, Herdman-Grant, Rosaleen, Joseph, Anna, Loveridge, Adam, Mckenley, India, Morino, Eriko, Naranjo, Andre, Simms, Richard, Sollesta, Kathryn, Swain, Andrew, Venkatesh, Harish, Khera, Jacyntha, Fox, Jonathan, Barber, Russell, Hewitt, Claire, Hilldrith, Annette, Jackson-Lawrence, Karen, Shepardson, Sarah, Wills, Maryanne, Butler, Susan, Tavares, Silvia, Cunningham, Amy, Hindale, Julia, Arif, Sarwat, George, Linsha, Twiss, Sophie, Wright, David, Holland, Maureen, Keenan, Natalie, Lyons, Marc, Wassall, Helen, Marsh, Chri, Mahenthran, Mervin, Carter, Emma, Kong, Thoma, Adanini, Oluronke, Bhatia, Nikhil, Msiska, Maine, Mew, Louise, Mwaura, Esther, Williams, Felicity, Wren, Lynn, Sutherland, Sara-Beth, Battle, Ceri, Brinkworth, Elaine, Harford, Rachel, Murphy, Carl, Newey, Luke, Rees, Tabitha, Williams, Marie, Arnold, Sophie, Hardy, John, Houlden, Henry, Moncur, Eleanor, Tariq, Ambreen, Tucci, Arianna, Convery, Karen, Fottrell-Gould, Deirdre, Hudig, Lisa, Keshet-Price, Jocelyn, Randell, Georgina, Stammers, Katie, Abdelrazik, Marwa, Bakthavatsalam, Dhanalakshmi, Elhassan, Munzir, Ganesan, Arunkumar, Haldeos, Anne, Moreno-Cuesta, Jeronimo, Purohit, Dharam, Vincent, Rachel, Xavier, Kugan, Rohit, Kumar, Alasdair, Frater, Saleem, Malik, David, Carter, Jenkins, Samuel, Lamond, Zoe, Wall, Alanna, Reynolds, Jessica, Campbell, Helen, Thompsom, Maria, Dodds, Steve, Duffy, Stacey, Butcher, Deborah, O’Sullivan, Susie, Butterworth-Cowin, Nicola, Deacon, Bethan, Hibbert, Meg, Pothecary, Carla, Tetla, Dariusz, Woodford, Christopher, Durga, Latha, Kennard-Holden, Gareth, de Gordoa, Laura Ortiz-Ruiz, Peasgood, Emily, Phillips, Claire, Skinner, Denise, Gaylard, Jane, Mullan, Dee, Newman, Julie, Davies, Ellie, Roche, Lisa, Sathe, Sonia, Brimfield, Lutece, Daly, Zoe, Pogson, David, Rose, Steve, Collins, Amy, Khaliq, Waqa, Gude, Estefania Treu, Allen, Louise, Beranova, Eva, Crisp, Nikki, Deery, Joanne, Hazelton, Tracy, Knight, Alicia, Price, Carly, Tilbey, Sorrell, Turki, Salah, Turney, Sharon, Giles, Julian, Booth, Simon, Bell, Gillian, English, Katy, Katary, Amro, Wilcox, Louise, Campbell, Rachael, Clarke, Noreen, Whiteside, Jonathan, Mascarenhas, Mairi, Donaldson, Avril, Matheson, Joanna, Barrett, Fiona, O’Hara, Marianne, O’Keefe, Laura, Bradley, Clare, Collier, Dawn, Walker, Rachel, Maynard, Victoria, Patel, Tahera, Smith, Matthew, Kazi, Aayesha, Hartley, Janice, Dykes, Joseph, Hijazi, Muhammad, Keith, Sarah, Khan, Meherunnisa, Ryan-Smith, Janet, Springle, Philippa, Thomas, Jacqueline, Truman, Nick, Saad, Samuel, Coleman, Dabheoc, Fine, Christopher, Matt, Roseanna, Gay, Bethan, Dalziel, Jack, Ali, Syamlan, Goodchild, Drew, Harling, Rhiannan, Bhatterjee, Ravi, Goddard, Wendy, Davison, Chloe, Duberly, Stephen, Hargreaves, Jeanette, Bolton, Rachel, Verlander, Mark, Williams, Alexandra, Blackman, Helen, Creagh-Brown, Ben, Donlon, Sinead, Michalak-Glinska, Natalia, Mtuwa, Sheila, Pristopan, Veronika, Salberg, Armorel, Smith, Eleanor, Stone, Sarah, Piercy, Charle, Verula, Jerik, Burda, Dorota, Montaser, Rugia, Harden, Lesley, Mayangao, Irving, Marriott, Cheryl, Bradley, Paul, Harris, Celia, Cooper, Joshua, Finch, Cheryl, Liderth, Sarah, Quinn, Alison, Waddington, Natalia, Fidler, Katy, Tagliavini, Emma, Donnelly, Kevin, Abel, Lynn, Brett, Michael, Digby, Brian, Gemmell, Lisa, Hornsby, Jame, Macgoey, Patrick, O’Neil, Pauline, Price, Richard, Rodden, Natalie, Rooney, Kevin, Sundaram, Radha, Thomson, Nicola, Flanagan, Rebecca, Hughes, Gareth, Latham, Scott, Mckenna, Emma, Anderson, Jennifer, Hull, Robert, Rhead, Kat, Branney, Debbie, Frankham, Jordan, Pitts, Sally, White, Nigel, Cristiano, Daniele, Dormand, Natalie, Farzad, Zohreh, Gummadi, Mahitha, Liyanage, Kamal, Patel, Brijesh V., Salmi, Sara, Sloane, Geraldine, Varghese, Mathew, Zborowski, Anelise C., Bean, Sarah, Burt, Karen, Spivey, Michael, Eastgate-Jackson, Christine, Filipe, Helder, Martin, Daniel, Maharajh, Amitaa, Garcia, Sara Mingo, De Neef, Mark, Lynch, Ceri, Howe, Gwenllian Sera, Singh, Jayaprakash, Turner, Keri, Ellis, Hannah, Stroud, Natalie, Cherian, Shiney, Cutler, Sean, Heron, Anne Emma, Roynon-Reed, Anna, Williams, Gemma, Richards, Owen, Cheema, Yusuf, Ahmad, Norfaizan, Barker, Joann, Bauchmuller, Kri, Bird, Sarah, Cawthron, Kay, Harrington, Kate, Jackson, Yvonne, Kibutu, Faith, Lenagh, Becky, Masuko, Shamiso, Raithatha, Ajay, Wiles, Matthew, Willson, Jayne, Newell, Helen, Lye, Alison, Nwafor, Lorenza, Jarman, Claire, Rowland-Jones, Sarah, Foote, David, Cole, Joby, Thompson, Roger, Watson, Jame, Hesseldon, Lisa, Macharia, Irene, Chetam, Luke, Smith, Jacqui, Ford, Amber, Anderson, Samantha, Birchall, Kathryn, Housley, Kay, Walker, Sara, Milner, Leanne, Hanratty, Helena, Trower, Helen, Phillips, Patrick, Oxspring, Simon, Donne, Ben, Bevan, Emily, Martin, Jane, Trodd, Dawn, Watson, Geoff, Brown, Caroline Wrey, Bunni, Lara, Jennings, Claire, Latif, Monica, Marshall, Rebecca, Subramanian, Gayathri, Bandla, Nageswar, Gellamucho, Minnie, Davies, Michelle, Thompson, Christopher, Trim, Fiona, Eapen, Beena, Ahmed, Cecilia, Baines, Balvinder, Clamp, Sarah, Colley, Julie, Haq, Risna, Hayes, Anne, Hulme, Jonathan, Hussain, Samia, Joseph, Sibet, Kumar, Rita, Maqsood, Zahira, Purewal, Manjit, Chandler, Ben, Elliott, Kerry, Mallinson, Janine, Turnbull, Alison, Dent, Kathy, Horsley, Elizabeth, Akhtar, Muhmmad Nauman, Pearson, Sandra, Potoczna, Dorota, Spencer, Sue, Blakemore, Hayley, Borislavova, Borislava, Faulkner, Beverley, Gendall, Emma, Goff, Elizabeth, Hayes, Kati, Thomas, Matt, Worner, Ruth, Smith, Kerry, Stephens, Deanna, Delgado, Carlos Castro, Dawson, Deborah, Ding, Lijun, Durrant, Georgia, Ezeobu, Obiageri, Farnell-Ward, Sarah, Harrison, Abiola, Kanu, Rebecca, Leaver, Susannah, Maccacari, Elena, Manna, Soumendu, Saluzzio, Romina Peperman, Queiroz, Joana, Samakomva, Tinashe, Sicat, Christine, Texeira, Joana, Da Gloria, Edna Fernande, Lisboa, Ana, Rawlins, John, Mathew, Jisha, Kinch, Ashley, Hurt, William Jame, Shah, Nirav, Clark, Victoria, Thanasi, Maria, Yun, Nikki, Patel, Kamal, Crickmore, Vikki, Debreceni, Gabor, Wilkins, Joy, Nicol, Liz, Burn, Iona, Hambrook, Geraldine, Manso, Katarina, Penn, Ruth, Shanmugasundaram, Pradeep, Tebbutt, Julie, Thornton, Danielle, Rostron, Anthony, Roy, Alistair, Woods, Lindsey, Cornell, Sarah, Wakinshaw, Fiona, Rogerson, Kimberley, Jarmain, Jordan, Anderson, Peter, Archer, Katie, Austin, Karen, Davis, Caroline, Durie, Alison, Kelsall, Olivia, Thrush, Jessica, Vigurs, Charlie, Wood, Hannah-Louise, Tranter, Helen, Harrison, Alison, Cowley, Nichola, Mcalindon, Michael, Digby, Stephen, Low, Emma, Morgan, Aled, Cother, Naiara, Rankin, Tobia, Clayton, Sarah, Mccurdy, Alex, Allibone, Suzanne, Mary-Genetu, Roman, Patel, Amit, Mac, Ainhi, Murphy, Anthony, Mahjoob, Parisa, Nazari, Roonak, Worsley, Lucy, Fagan, Andrew, Mohamed Ali, Inthakab Ali, Beaumont, Karen, Blunt, Mark, Coton, Zoe, Curgenven, Hollie, Elsaadany, Mohamed, Fernandes, Kay, Ally, Sameena Mohamed, Rangarajan, Harini, Sarathy, Varun, Selvanayagam, Sivarupan, Vedage, Dave, White, Matthew, Fernandez-Roman, Jaime, Hamilton, David O., Johnson, Emily, Johnston, Brian, Martinez, Maria Lopez, Mulla, Suleman, Shaw, David, Waite, Alicia A. C., Waugh, Victoria, Welters, Ingeborg D., Williams, Karen, Bemand, Thoma, Black, Ethel, Rosa, Arnold Dela, Howle, Ryan, Jhanji, Shaman, Baikady, Ravishankar Rao, Tatham, Kate Colette, Thomas, Benjamin, Halkes, Matthew, Mercer, Pauline, Thornton, Lorraine, West, Joe, Baird, Tracy, Ruddy, Jim, Reece-Anthony, Rosie, Birt, Mark, Cowton, Amanda, Kay, Andrea, Kent, Melanie, Potts, Kathryn, Wilkinson, Ami, Naylor, Suzanne, Brown, Ellen, Clark, Michele, Purvis, Sarah, Cole, Jade, Davies, Rhy, Duffin, Donna, Hill, Helen, Player, Ben, Thomas, Emma, Williams, Angharad, Beith, Claire Marie, Black, Karen, Clements, Suzanne, Morrison, Alan, Strachan, Dominic, Taylor, Margaret, Clarkson, Michelle, D’Sylva, Stuart, Norman, Kathryn, Coventry, Tina, Fowler, Susan, Mcgregor, Amanda, Brady, Ailbhe, Chan, Rebekah, Mcivor, Shane, Prady, Helena, Whittle, Helen, Mathew, Bijoy, Clapham, Melanie, Harper, Rosemary, Poultney, Una, Rice, Polly, Mutch, Rachel, Baird, Yolanda, Butler, Aaron, Chadbourn, Indra, Folkes, Linda, Fox, Heather, Gardner, Amy, Gomez, Raquel, Hobden, Gillian, King, Kirsten, Margarson, Michael, Martindale, Tim, Meadows, Emma, Raynard, Dana, Thirlwall, Yvette, Helm, David, Margalef, Jordi, Greer, Sandra, Shuker, Karen, Smuts, Sara, Duffield, Joseph, Smith, Oliver, Mallon, Lewi, Claire, Watkin, Birkinshaw, Isobel, Carter, Joseph, Howard, Kate, Ingham, Joanne, Joy, Rosie, Pearson, Harriet, Roche, Samantha, Scott, Zoe, Knights, Ellen, Price, Alicia, Thomas, Alice, Thorpe, Chri, Abraheem, Azmerelda, Bamford, Peter, Cawley, Kathryn, Dunmore, Charlie, Faulkner, Maria, Girach, Rumanah, Jeffrey, Helen, Jones, Rhianna, London, Emily, Nagra, Imrun, Nasir, Farah, Sainsbury, Hannah, Smedley, Clare, Khade, Reena, Sundar, Ashok, Tsinaslanidis, George, Behan, Teresa, Burnett, Caroline, Hatton, Jonathan, Heeney, Elaine, Mitra, Atideb, Newton, Maria, Pollard, Rachel, Stead, Rachael, Birch, Jenny, Bough, Laura, Goodsell, Josie, Tutton, Rebecca, Williams, Patricia, Williams, Sarah, Winter-Goodwin, Barbara, Auld, Fiona, Donnachie, Joanne, Edmond, Ian, Prentice, Lynn, Runciman, Nikole, Salutous, Dario, Symon, Lesley, Todd, Anne, Turner, Patricia, Short, Abigail, Sweeney, Laura, Murdoch, Euan, Senaratne, Dhaneesha, Burns, Karen, Higham, Andrew, Anderson, Taya, Hawcutt, Dan, O’Malley, Laura, Rad, Laura, Rogers, Naomi, Saunderson, Paula, Allison, Kathryn Sian, Afolabi, Deborah, Whitbread, Jennifer, Jones, Dawn, Dore, Rachael, Lankester, Liana, Nikitas, Nikita, Wells, Colin, Stowe, Bethan, Spencer, Kayleigh, Cathcart, Susanne, Duffy, Katharine, Puxty, Alex, Puxty, Kathryn, Turner, Lynne, Ireland, Jane, Semple, Gary, Barry, Peter, Hilltout, Paula, Evitts, Jayne, Tyler, Amanda, Waldron, Joanne, Irvine, Val, Shelley, Benjamin, Akinkugbe, Olugbenga, Bamford, Alasdair, Beech, Emily, Belfield, Holly, Bell, Michael, Davies, Charlene, Jones, Gareth A. L., Mchugh, Tara, Meghari, Hamza, O’Neill, Lauran, Peters, Mark J., Ray, Samiran, Tomas, Ana Luisa, Gorman, Claire, Gupta, Abhinav, Timlick, Elizabeth, Brady, Rebecca, Bonner, Stephen, Hugill, Keith, Jones, Jessica, Liggett, Steven, Bashyal, Archana, Davidson, Neil, Hutton, Paula, Mckechnie, Stuart, Wilson, Jean, Flint, Neil, Rekha, Patel, Hales, Dawn, Cruz, Carina, Gopal, Shameer, Harris, Nichola, Lake, Victoria, Metherell, Stella, Radford, Elizabeth, Clement, Ian, Patel, Bijal, Gulati, A., Hays, Carole, Webster, K., Hudson, Anne, Webster, Andrea, Stephenson, Elaine, Mccormack, Louise, Slater, Victoria, Nixon, Rachel, Hanson, Helen, Fearby, Maggie, Kelly, Sinead, Bridgett, Victoria, Robinson, Philip, Almaden-Boyle, Christine, Austin, Pauline, Cabrelli, Louise, Cole, Stephen, Casey, Matt, Chapman, Susan, Whyte, Clare, Brayne, Adam, Fisher, Emma, Hunt, Jane, Jackson, Peter, Kaye, Duncan, Love, Nichola, Parkin, Juliet, Tuckey, Victoria, van Koutrik, Lynne, Carter, Sasha, Andrew, Benedict, Findlay, Louise, Adams, Katie, Bruce, Michelle, Connolly, Karen, Duncan, Tracy, T. -Michael, Helen, Lindergard, Gabriella, Hey, Samuel, Fox, Claire, Alfonso, Jordan, Durrans, Laura Jayne, Guerin, Jacinta, Hruska, Martin, Eltayeb, Ayaa, Lamb, Thoma, Hodgkiss, Tracey, Cooper, Lisa, Rothwell, Joanne, Dennis, Catherine, Mcgregor, Alastair, Srikaran, Sinduya, Sukha, Anisha, Davies, Kim, O’Brien, Linda, Omar, Zohra, Perkins, Emma, Lewis, Tracy, Sutherland, Isobel, Brooke, Hollie, Buckley, Sarah, Suarez, Jose Cebrian, Charlesworth, Ruth, Hansson, Karen, Norris, John, Poole, Alice, Rose, Alastair, Sandhu, Rajdeep, Sloan, Brendan, Smithson, Elizabeth, Thirumaran, Muthu, Wagstaff, Veronica, Metcalfe, Alexandra, Camsooksai, Julie, Humphrey, Charlotte, Jenkins, Sarah, Wadams, Beverley, Death, Yasmin, Adams, Colene, Agasou, Anita, Arden, Tracie, Bowes, Amy, Boyle, Pauline, Beekes, Mandy, Button, Heather, Capps, Nigel, Carnahan, Mandy, Carter, Anne, Childs, Danielle, Donaldson, Denise, Hard, Kelly, Hurford, Fran, Hussain, Yasmin, Javaid, Ayesha, Jones, Jame, Jose, Sanal, Leigh, Michael, Martin, Terry, Millward, Helen, Motherwell, Nichola, Rikunenko, Rachel, Stickley, Jo, Summers, Julie, Ting, Louise, Tivenan, Helen, Tonks, Louise, Wilcox, Rebecca, Bokhari, Maria, Lucas, Rachael, Mccormick, Wendy, Ritzema, Jenny, Sanderson, Amanda, Wild, Helen, Baxter, Nicola, Henderson, Steven, Kennedy-Hay, Sophie, Mcparland, Christopher, Rooney, Laura, Sim, Malcolm, Mccreath, Gordan, Brunton, Mark, Caterson, Je, Coles, Holly, Frise, Matthew, Rai, Sabi Gurung, Keating, Liza, Tilney, Emma, Bartley, Shauna, Bhuie, Parminder, Downes, Charlotte, Holding, Kathleen, Riches, Katie, Hilton, Mary, Hayman, Mel, Subramanian, Deepak, Daniel, Priya, Zitter, Letizia, Benyon, Sarah, Marriott, Suzie, Park, Linda, Keenan, Samantha, Gordon, Elizabeth, Quinn, Helen, Baines, Kizzy, Andrew, Gillian, Barclay, Lucy, Callaghan, Marie, Clark, Sarah, Hope, Dave, Marshall, Lucy, Mcculloch, Corrienne, Briton, Kate, Singleton, Jo, Birch, Sophie, Simpson, Kerry, Craig, Jayne, Demetriou, Carrie, Eckbad, Charlotte, Hierons, Sarah, Howie, Lucy, Mitchard, Sarah, Ramos, Lidia, Serrano-Ruiz, Alfredo, White, Katie, Kelly, Fiona, Amin, Vishal, Anastasescu, Elena, Anumakonda, Vikram, Karthik, Komala, Kausar, Rizwana, Reid, Karen, Smith, Jacqueline, Imeson-Wood, Janet, Bellini, Arianna, Bryant, Jade, Mayer, Anton, Pickard, Amy, Roe, Nichola, Sowter, Jason, Howlett, Alex, Criste, Kristine, Cusack, Rebecca, Golder, Kim, Golding, Hannah, Jones, Oliver, Leggett, Samantha, Male, Michelle, Marani, Martyna, Prager, Kirsty, Williams, Toran, Roberts, Belinda, Salmon, Karen, Gondo, Prisca, Hadebe, B., Kayani, Abdul, Masunda, Bridgett, Ahmed, Ashar, Morris, Anna, Jakkula, Sriniva, Long, Kate, Whiteley, Simon, Wilby, Elizabeth, Ogg, Bethan, Moultrie, Sam, Odam, M., Bewley, Jeremy, Garland, Zoe, Grimmer, Lisa, Gumbrill, Bethany, Johnson, Rebekah, Sweet, Katie, Webster, Denise, Efford, Georgia, Bennett, Sara, Goodwin, Emma, Jackson, Matthew, Kent, Alissa, Tibke, Clare, Woodyatt, Wiesia, Zaki, Ahmed, Daniel, Amelia, Finn, Joanne, Saha, Rajnish, Bremmer, Pamela, Allan, J., Geary, T., Houston, Gordon, Meikle, A., O’Brien, P., Bell, Dina, Boyle, Rosalind, Douglas, Katie, Glass, Lynn, Lee, Emma, Lennon, Liz, Rattray, Austin, Charnock, Rob, Mcfarland, Denise, Cosgrove, Denise, Attwood, Ben, Parsons, Penny, Carmody, Siobhain, Oblak, Metod, Popescu, Monica, Thankachen, Mini, Baruah, Rosie, Morris, Sheila, Ferguson, Susie, Shepherd, Amy, Altabaibeh, Abdelhakim, Alvaro, Ana, Gilbert, Kayleigh, Ma, Louise, Mostoles, Loreta, Parmar, Chetan, Simpson, Kathryn, Jetha, Champa, Booker, Lauren, Pratley, Anezka, Cosier, Tracey, Millen, Gemma, Schumacher, Natasha, Weston, Heather, Rand, Jame, Alex, Beatrice, Bach, Benjamin, Barclay, Wendy S., Bogaert, Debby, Chand, Meera, Cooke, Graham S., Docherty, Annemarie B., Dunning, Jake, da Silva Filipe, Ana, Fletcher, Tom, Green, Christoper A., Harrison, Ewen M., Hiscox, Julian A., Ijaz, Samreen, Khoo, Saye, Lim, Wei Shen, Mentzer, Alexander J., Merson, Laura, Noursadeghi, Mahdad, Moore, Shona C., Palmarini, Massimo, Paxton, William A., Pollakis, Georgio, Price, Nichola, Rambaut, Andrew, Robertson, David L., Sancho-Shimizu, Vanessa, Scott, Janet T., de Silva, Thushan, Sigfrid, Louise, Solomon, Tom, Sriskandan, Shiranee, Stuart, David, Tedder, Richard S., Thomson, Emma C., Roger Thompson, A. A., Thwaites, Ryan S., Turtle, Lance C. W., Gupta, Rishi K., Palmieri, Carlo, Swann, Olivia V., Zambon, Maria, Dumas, Marc-Emmanuel, Griffin, Julian L., Takats, Zoltan, Chechi, Kanta, Andrikopoulos, Petro, Osagie, Anthonia, Olanipekun, Michael, Liggi, Sonia, Lewis, Matthew R., Correia, Gonçalo dos Santo, Sands, Caroline J., Takis, Panteleimon, Maslen, Lynn, Greenhalf, William, Shaw, Victoria, Mcdonald, Sarah E., Keating, Seán, Ahmed, Katie A., Armstrong, Jane A., Ashworth, Milton, Asiimwe, Innocent G., Bakshi, Siddharth, Barlow, Samantha L., Booth, Laura, Brennan, Benjamin, Bullock, Katie, Catterall, Benjamin W. A., Clark, Jordan J., Clarke, Emily A., Cooper, Louise, Cox, Helen, Davis, Christopher, Dincarslan, Oslem, Dunn, Chri, Dyer, Philip, Elliott, Angela, Evans, Anthony, Finch, Lorna, Fisher, Lewis W. S., Foster, Terry, Garcia-Dorival, Isabel, Gunning, Philip, Hartley, Catherine, Jensen, Rebecca L., Jones, Christopher B., Jones, Trevor R., Khandaker, Shadia, King, Katharine, Kiy, Robyn T., Koukorava, Chrysa, Lake, Annette, Lant, Suzannah, Latawiec, Diane, Lavelle-Langham, Lara, Lefteri, Daniella, Lett, Lauren, Livoti, Lucia A., Mancini, Maria, Mcdonald, Sarah, Mcevoy, Laurence, Mclauchlan, John, Metelmann, Soeren, Miah, Nahida S., Middleton, Joanna, Mitchell, Joyce, Murphy, Ellen G., Penrice-Randal, Rebekah, Pilgrim, Jack, Prince, Tessa, Reynolds, Will, Ridley, P. Matthew, Sales, Debby, Shaw, Victoria E., Shears, Rebecca K., Small, Benjamin, Subramaniam, Krishanthi S., Szemiel, Agnieska, Taggart, Aislynn, Tanianis-Hughes, Jolanta, Thomas, Jordan, Trochu, Erwan, van Tonder, Libby, Wilcock, Eve, Zhang, J. Eunice, Flaherty, Lisa, Maziere, Nicole, Cass, Emily, Carracedo, Alejandra Doce, Carlucci, Nicola, Holmes, Anthony, Massey, Hannah, Murphy, Lee, Wrobel, Nicola, Mccafferty, Sarah, Morrice, Kirstie, Maclean, Alan, Armstrong, Ruth, Boz, Ceilia, Brown, Adam, Coutts, Audrey, Cullum, Louise, Day, Nicky, Donnelly, Lorna, Duncan, Esther, Fawkes, Angie, Finernan, Paul, Gilchrist, Tammy, Golightly, Ailsa, Hafezi, Katarzyna, Law, Dawn, Law, Rachel, Law, Sarah, Macgillivray, Louise, Mal, Hanning, Mcmaster, Ellie, Meikle, Jen, Oosthuyzen, Wilna, Paterson, Trevor, Stenhouse, Andrew, Swets, Maaike, Szoor-McElhinney, Helen, Taneski, Filip, Wackett, Tony, Ward, Mairi, Weaver, Jane, Coyle, Judy, Gallagher, Bernadette, Lidstone-Scott, Rebecca, Hamilton, Debbie, Schon, Katherine, Furlong, Anita, Biggs, Heather, Griffiths, Fiona, Andrews, Eleanor, Brickell, Kathy, Smyth, Michelle, Murphy, Lorna, Carson, Gail, Hardwick, Hayley, Donohue, Chloe, Pérez-Tur, Jordi [0000-0002-9111-1712], Martín, Javier [0000-0002-2202-0622], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki-University of Helsinki, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Massachusetts General Hospital [Boston], A list of authors and their affiliations appears in the Supplementary Information, Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, ANR-20-CO11-0001,AABIFNCOV,Bases génétiques et immunologiques des auto-anticorps contre les interférons de type I prédisposant aux formes sévères de COVID-19.(2020), ANR-20-COVI-0003,GENCOVID,Identification des défauts monogéniques de l'immunité responsables des formes sévères de COVID-19 chez les patients précédemment en bonne santé(2020), ANR-21-COVR-0039,GenMIS-C,Recherche 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Bocciolone, M., Miozzo, M., Chueca, N., Montano, N., Faverio, P., Preatoni, P., Bonfanti, P., Omodei, P., Castro, P., Ferrer, R., Gualtierotti, R., Gallego-Durán, R., Morilla, R., Haider, S., Marsal, S., Aneli, S., Pelusi, S., Bosari, S., Aliberti, S., Dudman, S., Zheng, T., Pumarola, T., Cejudo, T.G., Monzani, V., Friaza, V., Peter, W., Dopazo, X., May, S., Grimsrud, M.M., Gudbjartsson, D.F., Stefansson, K., Sulem, P., Sveinbjornsson, G., Melsted, P., Norddahl, G., Swerford Moore, K.H., Thorsteinsdottir, U., Holm, H., Alarcón-Riquelme, M.E., Bernardo, D., Martínez-Bueno, M., Rello, S.R., Magi, R., Milani, L., Metspalu, A., Laisk, T., Läll, K., Lepamets, M., Esko, T., Reimann, E., Naaber, P., Laane, E., Pesukova, J., Peterson, P., Kisand, K., Tabri, J., Allos, R., Hensen, K., Starkopf, J., Ringmets, I., Tamm, A., Kallaste, A., Alavere, H., Metsalu, K., Puusepp, M., Kristiansson, K., Koskelainen, S., Perola, M., Donner, K., Kivinen, K., Palotie, A., Bochud, P.Y., Boillat, N., Nussle, S.G., Albrich, W., Pagani, J.L., Zu Bentrup, F.M., Viollet, R.M., Kampouri, E.E., Meuwly, J.Y., D'Acremont, V., Younes, S.E., Albrich, W.C., O'Mahony, L., Kleger, G.R., Kahlert, C.R., Negro, T.R., Carreras, A., Galván-Femenía, I., Farré, X., Cortés, B., Mercader, J.M., Guindo-Martinez, M., Torrents, D., Garcia-Aymerich, J., Castaño-Vinyals, G., Dobaño, C., Gori, M., Mondelli, M.U., Castelli, F., Vaghi, M., Rusconi, S., Montagnani, F., Bargagli, E., Franchi, F., Mazzei, M.A., Cantarini, L., Tacconi, D., Feri, M., Scala, R., Spargi, G., Nencioni, C., Bandini, M., Caldarelli, G.P., Spagnesi, M., Canaccini, A., Ognibene, A., D'Arminio Monforte, A., Girardis, M., Antinori, A., Francisci, D., Schiaroli, E., Scotton, P.G., Panese, S., Scaggiante, R., Monica, M.D., Capasso, M., Fiorentino, G., Castori, M., Aucella, F., Di Biagio, A., Masucci, L., Valente, S., Mandalà, M., Zucchi, P., Giannattasio, F., Coviello, D.A., Mussini, C., Bosio, G., Tavecchia, L., Crotti, L., Rizzi, M., La Rovere, 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Reid, K., Imeson-Wood, J., Bellini, A., Bryant, J., Pickard, A., Roe, N., Sowter, J., Howlett, A., Criste, K., Cusack, R., Golder, K., Golding, H., Jones, O., Leggett, S., Male, M., Marani, M., Prager, K., Williams, T., Roberts, B., Salmon, K., Gondo, P., Kayani, A., Masunda, B., Ahmed, A., Morris, A., Jakkula, S., Long, K., Whiteley, S., Wilby, E., Ogg, B., Moultrie, S., Bewley, J., Garland, Z., Grimmer, L., Gumbrill, B., Sweet, K., Webster, D., Efford, G., Bennett, S., Goodwin, E., Jackson, M., Kent, A., Tibke, C., Woodyatt, W., Zaki, A., Daniel, A., Finn, J., Bremmer, P., Houston, G., O'Brien, P., Bell, D., Boyle, R., Douglas, K., Glass, L., Lee, E., Lennon, L., Rattray, A., Charnock, R., McFarland, D., Cosgrove, D., Attwood, B., Parsons, P., Carmody, S., Oblak, M., Popescu, M., Thankachen, M., Baruah, R., Morris, S., Ferguson, S., Shepherd, A., Altabaibeh, A., Alvaro, A., Gilbert, K., Ma, L., Mostoles, L., Parmar, C., Jetha, C., Booker, L., Pratley, A., Cosier, T., Millen, G., Schumacher, N., Weston, H., Rand, J., Alex, B., Bach, B., Barclay, W.S., Bogaert, D., Chand, M., Cooke, G.S., Docherty, A.B., Dunning, J., da Silva Filipe, A., Fletcher, T., Green, C.A., Harrison, E.M., Hiscox, J.A., Ijaz, S., Khoo, S., Lim, W.S., Mentzer, A.J., Merson, L., Noursadeghi, M., Moore, S.C., Palmarini, M., Paxton, W.A., Pollakis, G., Price, N., Rambaut, A., Robertson, D.L., Sancho-Shimizu, V., Scott, J.T., de Silva, T., Sigfrid, L., Solomon, T., Sriskandan, S., Stuart, D., Tedder, R.S., Thomson, E.C., Roger Thompson, A.A., Thwaites, R.S., Turtle, LCW, Gupta, R.K., Palmieri, C., Swann, O.V., Zambon, M., Dumas, M.E., Griffin, J.L., Takats, Z., Chechi, K., Andrikopoulos, P., Osagie, A., Olanipekun, M., Liggi, S., Lewis, M.R., Correia, GDS, Sands, C.J., Takis, P., Maslen, L., Greenhalf, W., Shaw, V., McDonald, S.E., Ahmed, K.A., Armstrong, J.A., Ashworth, M., Asiimwe, I.G., Bakshi, S., Barlow, S.L., Booth, L., Brennan, B., Bullock, K., Catterall, BWA, Clark, J.J., Clarke, E.A., Cox, H., Dincarslan, O., Dunn, C., Dyer, P., Elliott, A., Evans, A., Finch, L., Fisher, LWS, Foster, T., Garcia-Dorival, I., Gunning, P., Hartley, C., Jensen, R.L., Jones, C.B., Jones, T.R., Khandaker, S., Kiy, R.T., Koukorava, C., Lake, A., Lant, S., Latawiec, D., Lavelle-Langham, L., Lefteri, D., Lett, L., Livoti, L.A., Mancini, M., McDonald, S., McEvoy, L., McLauchlan, J., Metelmann, S., Miah, N.S., Middleton, J., Mitchell, J., Murphy, E.G., Penrice-Randal, R., Pilgrim, J., Prince, T., Reynolds, W., Ridley, P.M., Sales, D., Shaw, V.E., Shears, R.K., Small, B., Subramaniam, K.S., Szemiel, A., Taggart, A., Tanianis-Hughes, J., Trochu, E., van Tonder, L., Wilcock, E., Zhang, J.E., Flaherty, L., Maziere, N., Cass, E., Carracedo, A.D., Carlucci, N., Holmes, A., Massey, H., Murphy, L., Wrobel, N., McCafferty, S., Morrice, K., MacLean, A., Armstrong, R., Boz, C., Coutts, A., Cullum, L., Day, N., Donnelly, L., Duncan, E., Fawkes, A., Finernan, P., Gilchrist, T., Golightly, A., Hafezi, K., Law, D., Law, R., Law, S., Macgillivray, L., Maclean, A., Mal, H., Mcmaster, E., Meikle, J., Oosthuyzen, W., Paterson, T., Stenhouse, A., Swets, M., Szoor-McElhinney, H., Taneski, F., Wackett, T., Ward, M., Weaver, J., Coyle, J., Gallagher, B., Lidstone-Scott, R., Hamilton, D., Schon, K., Furlong, A., Biggs, H., Griffiths, F., Andrews, E., Brickell, K., Smyth, M., Carson, G., Hardwick, H., Donohue, C., Neale, Benjamin M. [0000-0003-1513-6077], Apollo - University of Cambridge Repository, Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), Guided Treatment in Optimal Selected Cancer Patients (GUTS), AII - Infectious diseases, Amsterdam Neuroscience - Neuroinfection & -inflammation, Neurology, Infectious diseases, Center of Experimental and Molecular Medicine, APH - Aging & Later Life, APH - Global Health, APH - Quality of Care, Amsterdam institute for Infection and Immunity, APH - Health Behaviors & Chronic Diseases, Global Health, APH - Methodology, Graduate School, ACS - Heart failure & arrhythmias, Anesthesiology, ACS - Diabetes & metabolism, APH - Digital Health, APH - Personalized Medicine, ACS - Microcirculation, Niemi, M. E. K., Liao, R. G., Neale, B. M., Pathak, G. A., Andrews, S. J., Schulte, E. C., Karim, M. A., Wendt, F. R., Kim, H. -N., Uddin, M. J., Smith, G. D., Willer, C. J., Buxbaum, J. D., Martin, A. R., Balaconis, M. K., Sankaran, V. G., Brent Richards, J., Eric Kerchberger, V., Kenneth Baillie, J., Dutta, A. K., Uddin, M. M., Perez-Tur, J., Verdugo, R. A., Zarate, R., Medina-Gomez, C., Gomez-Cabrero, D., Cadilla, C. L., Boua, P. R., Fave, M. -J., Lemacon, A., Szentpeteri, J. L., Ahmad, H. F., Kornilov, S. A., Prokic, I., Pearson, N. M., Shelton, J. F., Shastri, A. J., Weldon, C. H., Brouwer, M. C., Vlaar, A. P. J., Joost Wiersinga, W., Algera, A. G., Bogaard, H. J., Bonta, P. I., Grobusch, M. P., Hermans, S. M., Hovius, J. W., de Jong, M. D., Nossent, E. J., Prins, J. M., Schultz, M. J., Stijnis, C. S., Minnaar, R. P., van Uffelen, K. W. J., Wolterman, R. A., Ball, C. A., Mccurdy, S., Hong, E. L., Baltzell, A. H., Goffard, J. -C., Peree, H., Leonard, P., Giot, J. -B., Sauvage, A. -S., Wery, M., Morrison, D. R., Chasse, M., Kaufmann, D. E., Mark Lathrop, G., Davis, L. K., Cox, N. J., Below, J. E., Sealock, J. M., Faucon, A. B., Shuey, M. M., Polikowsky, H. G., Petty, L. E., Shaw, D. M., Chen, H. -H., Ludwig, K. U., Schroder, J., Nothen, M. M., Jensen, B. -E. O., Altmuller, J., Berger, M. M., Gogele, M., Gignoux, C. R., Wicks, S. J., Barnes, K. C., Goldstein, D. B., Reilly, M. P., Gharavi, A. G., O'Byrne, S. M., So, Y. S., Park, S. -K., Kim, H. -L., Kang, C. K., Lee, H. -J., Song, K. -H., Yoon, K. J., Paik, N. -J., Joo, E. -J., Park, W. B., Park, J. S., Park, K. U., Ham, S. Y., Kim, E. S., Kim, H. B., Caceres, M., Lenz, T. L., Julia, A., Holter, J. C., Fernandez, J., Sander, L. E., Banales, J. M., Romero-Gomez, M., Hov, J. R., Karlsen, T. H., Wacker, E. M., Elabd, H., Ruhlemann, M. C., Vadla, M. S., Lenning, O. B., Ozer, O., Kassens, J., Figuera Basso, M. E., Ortiz, A. B., Chercoles, A. G., Holten, A. R., Kildal, A. B., Gluck, A., Nolla, A. C., Dyrhol-Riise, A. M., Spinner, C. D., Hoff, D. A. L., Jimenez, D., Pestana, D., Helbig, E. T., Paraboschi, E. M., Sanchez, F. G., Hernandez, I., Galvan-Femenia, I., Badia, J. R., Muller, K. E., Gaede, K. I., Lippert, L. J., Tellez, L., Gutierrez-Stampa, M. A., Vehreschild, M. J. G. T., Marquie, M., Seilmaier, M. J., Rodriguez-Gandia, M., Ayo, N. I., Martinez, N., Cornely, O. A., Rodrigues, P. M., Espana, P. P., Garcia-Fernandez, A. -E., Fracanzani, A. L., Muniz-Diaz, E., Calderon, E. J., Solligard, E., Medrano, F. J., Muller, F., Afset, J. E., Damas, J. K., Ferrusquia-Acosta, J., Quero, J. H., Guerrero, J. M., Bettini, L. R., Gustad, L. T., Valsecchi, M. G., D'Angio, M., Gallego-Duran, R., Cejudo, T. G., Grimsrud, M. M., Gudbjartsson, D. F., Moore, K. H. S., Alarcon-Riquelme, M. E., Martinez-Bueno, M., Rello, S. R., Lall, K., Bochud, P. -Y., Nussle, S. G., Meyer zu Bentrup, F., Merlet Viollet, R., Guery, B., Hugli, O., Gonseth Nussle, S., Estoppey Younes, S., Rochat Negro, T., Mercader, J. M., Castano-Vinyals, G., Dobano, C., Mondelli, M. U., Mazzei, M. A., Caldarelli, G. P., Monforte, A. D., Scotton, P. G., Monica, M. D., Mandala, M., Coviello, D. A., La Rovere, M. T., Segala, F. V., Mencarelli, M. A., Pinto, A. M., Carriero, M. L., Ann Belli, M., Antoni, M. D., Miraglia, F. G., Parisi, S. G., Squeo, G. M., Botta, G., Hunt, K. A., Trembath, R. C., Martin, H. C., Griffiths, C. J., Curtis, C. J., Huang, Q. Q., Lee, S. H., Macarthur, D., Maclaughlin, B., Smith, A. V., Boughton, A. P., Li, K. W., Lefaive, J., Jannes, C. E., Krieger, J. E., Pereira, A. C., Lima, I. R., Tada, M. T., Mccarthy, M., Lee, J. E., Lee, H. S., Jang, H. Y., Kim, Y. -S., Kwon, K. T., Kim, S. -W., Kim, J. Y., Jang, Y. R., Kim, H., Lee, J. Y., Choe, K. -W., Kang, Y. M., Jee, S. H., Jung, K. J., Schroth, G. P., Desouza, F., Cirulli, E. T., Schiabor Barrett, K. M., Washington, N. L., Lu, J. T., Ramirez, J. M., Grzymski, J. J., Minano, J. I. E., Aguirre, L. A., Lopez-Collazo, E., Lozano-Rodriguez, R., Avendano-Ortiz, J., Arcos, V. T., Montalban-Hernandez, K. M., Quiroga, J. V., Martin-Quiros, A., Nakada, T. -A., Vonk, J. M., Ori, A. P. S., Hernandez Cordero, A. I., Sin, D. D., Bosse, Y., Feng, Y. -C. A., Weiss, S. T., Karlson, E. W., Smoller, J. W., Murphy, S. N., Meigs, J. B., Woolley, A. E., Green, R. C., Perez, E. F., Zollner, S., Sloofman, L. G., Sebra, R. P., Collins, B. L., Sealfon, S. C., Jordan, D. M., Thompson, R. C., Belbin, G. M., Underwood, S. J., Hiester, L. L., Charney, A. W., Beckmann, N. D., Schadt, E. E., Abul-Husn, N. S., Cho, J. H., Kenny, E. E., Loos, R. J. F., Nadkarni, G. N., Huckins, L. M., Ferreira, M. A. R., Abecasis, G. R., Leader, J. B., Cantor, M. N., Justice, A. E., Carey, D. J., Josyula, N. S., Kosmicki, J. A., Horowitz, J. E., Gass, M. C., Hottenga, J. J., de Geus, E. J. C., Nivard, M. G., Ritchie, M. D., Verma, S. S., Vari, M. S., Rahier, J. -F., Bulik, C. M., Landen, M., Ferrero, G. B., Fundin, B., Ismail, S. I., Badji, R. M., Hultstrom, M., Geschwind, D. H., Butte, M. J., Chang, T. S., Caulfield, M. J., Scott, R. H., Odhams, C. A., Karczewski, K. J., Wilson, D. J., Spencer, C. A., Crook, D. W., Wyllie, D. H., O'Connell, A. M., Atkinson, E. G., Walters, R. K., Palmer, D. S., Goldstein, J. I., Kyle Satterstrom, F., Earle, S. G., Lin, S. -K., Rudkin, J. K., Zhao, J. H., Butterworth, A. S., Sun, Y. V., Huffman, J. E., O'Donnell, C. J., Michael Gaziano, J., Ho, Y. -L., Glessner, J. R., Mcguigan, P. J., Moore, L. S. P., Vizcaychipi, M. P., Page, V. J., Aldera, E. L., Cutino-Moguel, M. -T., Durand, I., Hawcutt, D. B., Macmahon, M., Macnaughton, E., Mccullough, K., Mcewen, R., O'Shea, M. K., Pooni, J. S., Wooton, D. G., Bretherick, A. D., Fourman, M. H., Meynert, A. M., Ponting, C. P., Porteous, D. J., Russell, C. D., Wilson, J. F., Drake, T. M., Fairfield, C. J., Knight, S. R., Mclean, K. A., Shaw, C. A., Ho, A. Y. W., Horby, P. W., Mcauley, D., Openshaw, P. J. M., Semple, M. G., Mcgowan, J., Mcguinness, H., Mcneela, F., Bayo, L. -A., Arias, S. S., Conyngham, J. -A., Corral, M. A., de Almeida Martins, L. G., Mclaughlan, D., Mcmorrow, L., Mccormick, J., Mitchell, A. M., Maccallum, N., Hughes, R. A., Jones, T. O., Mcphail, M., Mckenley, I., Sutherland, S. -B., de Gordoa, L. O. -R., Gude, E. T., Macgoey, P., Mckenna, E., Patel, B. V., Zborowski, A. C., Garcia, S. M., Howe, G. S., Heron, A. E., Mills, G. H., Brown, C. W., Akhtar, M. N., Delgado, C. C., Saluzzio, R. P., Da Gloria, E. F., Hurt, W. J., Wood, H. -L., Mcalindon, M., Mccurdy, A., Ali, I. A. M., Ally, S. M., Hamilton, D. O., Lopez Martinez, M., Waite, A. A. C., Welters, I. D., Rosa, A. D., Baikady, R. R., Tatham, K. C., Beith, C. M., Mcgregor, A., Mcivor, S., Allison, K. S., Jones, G. A. L., Mchugh, T., Peters, M. J., Tomas, A. L., Mckechnie, S., Mccormack, L., Michael, H. T., Durrans, L. J., Suarez, J. C., Death, Y., Mccormick, W., Mccreath, G., Rai, S. G., Mcculloch, C., Mcfarland, D., Barclay, W. S., Cooke, G. S., Docherty, A. B., Green, C. A., Harrison, E. M., Hiscox, J. A., Lim, W. S., Mentzer, A. J., Paxton, W. A., Robertson, D. L., Scott, J. T., Tedder, R. S., Thomson, E. C., Thwaites, R. S., Gupta, R. K., Swann, O. V., Dumas, M. -E., Griffin, J. L., Lewis, M. R., dos Santos Correia, G., Sands, C. J., Mcdonald, S. E., Ahmed, K. A., Armstrong, J. A., Asiimwe, I. G., Barlow, S. L., Catterall, B. W. A., Clark, J. J., Clarke, E. A., Fisher, L. W. S., Jensen, R. L., Jones, C. B., Jones, T. R., Kiy, R. T., Livoti, L. A., Mcdonald, S., Mcevoy, L., Mclauchlan, J., Miah, N. S., Moore, S. C., Murphy, E. G., Matthew Ridley, P., Shaw, V. E., Shears, R. K., Subramaniam, K. S., Eunice Zhang, J., Carracedo, A. D., Mccafferty, S., Turtle, L. C. W., Data Science Genetic Epidemiology Lab, Institute for Molecular Medicine Finland, HUS Helsinki and Uusimaa Hospital District, University of Helsinki, Research Programs Unit, Doctoral Programme in Population Health, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, and University of Zurich
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Male ,45/43 ,Autoimmunity ,Autoimmunity/genetics ,Body Mass Index ,COVID-19/genetics ,COVID-19/virology ,Critical Illness ,Female ,Genetic Loci/genetics ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Geographic Mapping ,Hospitalization ,Host-Pathogen Interactions/genetics ,Humans ,Inflammation/complications ,Information Dissemination ,Multifactorial Inheritance ,Racial Groups/genetics ,SARS-CoV-2/pathogenicity ,Smoking ,environmental risk factors ,Q1 ,631/208 ,0302 clinical medicine ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Genetics, Genome-wide association studies, SARS-CoV-2, Viral infection ,GWAS ,Aetiology ,Lung ,QC ,0303 health sciences ,HERITABILITY ,3. Good health ,covid-19 ,Science & Technology - Other Topics ,Identification (biology) ,Infection ,Human ,631/208/205/2138 ,Settore BIO/11 - Biologia Molecolare ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Clinical Research ,Biodefense ,Genetics ,GENOME-WIDE ASSOCIATION ,Medisinske Fag: 700::Basale medisinske, odontologiske og veterinærmedisinske fag: 710::Medisinsk genetikk: 714 [VDP] ,METAANALYSIS ,1000 Multidisciplinary ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,Science & Technology ,Prevention ,Racial Groups ,Pneumonia ,genetic architecture ,Human genetics ,Genetic Loci ,genetic factors ,570 Life sciences ,biology ,030217 neurology & neurosurgery ,Medizin ,Infektionsmedicin ,Genome-wide association studies ,Settore BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Pandemic ,2.1 Biological and endogenous factors ,pandemi ,Multidisciplinary ,article ,Public Health, Global Health, Social Medicine and Epidemiology ,Racial Group ,10124 Institute of Molecular Life Sciences ,Host-Pathogen Interaction ,Multidisciplinary Sciences ,Infectious Diseases ,Host-Pathogen Interactions ,Critical Illne ,COVID-19, GWAS, genetic factors, environmental risk factors, therapy ,Infectious Medicine ,Coronavirus disease 2019 (COVID-19) ,SUSCEPTIBILITY LOCI ,General Science & Technology ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Computational biology ,Biology ,Vaccine Related ,692/699/255/2514 ,Environmental risk ,Mendelian randomization ,COVID-19 Host Genetics Initiative ,QH426 ,631/326/596/4130 ,030304 developmental biology ,Inflammation ,therapy ,SARS-CoV-2 ,Human Genome ,COVID-19 ,Genetic architecture ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Emerging Infectious Diseases ,Good Health and Well Being ,Viral infection ,3111 Biomedicine - Abstract
Niemi, Mari E. K. et al. 39 páginas, figuras y tablas. Contiene material suplementario., The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3-7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.
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- 2021
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7. Feasibility Study of Future Seaports
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Ahamad, N.B, primary, Othman, M., additional, Che Mid, E., additional, Fahmi, M I, additional, Suboh, S. M., additional, and Guerrero, JM, additional
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- 2021
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8. Underwater mucosectomy of a 25 mm IIa-LSTG homogeneous lession at the transverse colon
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Martín Guerrero, JM, primary, Ortiz Moyano, C, additional, and Rodríguez Alonso, C, additional
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- 2021
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9. Real-Time Load and Ancillary Support for a Remote Island Power System Using Electric Boats
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Mahmud, K, Rahman, MS, Ravishankar, J, Hossain, MJ, Guerrero, JM, Mahmud, K, Rahman, MS, Ravishankar, J, Hossain, MJ, and Guerrero, JM
- Abstract
© 2005-2012 IEEE. Powering small islands with reliable, affordable, and green electricity is a big challenge due to their dispersed geographical location with limited number of consumers and the heavy dependence on fossil fuels. This paper aims to address this challenge of reducing dependency on fossil fuel generators by providing an easy and feasible solution using available and accessible energy resources. The proposed method utilizes the bidirectional energy transfer mechanism available in electric boats (EBs) to support the consumers' power demand. It proposes a new real-time load-support (RTLS) system with a coordinated control using EBs, community generators, and battery energy storage systems. It analyzes the management of the intermittent source-dependent small-scale grid in real time, under various weather, load, and battery state-of-charge conditions. The RTLS system coordinates the customers' load demand with the available EBs, photovoltaics, and battery storage to provide efficient load support and to regulate the bus voltage and frequency. The efficacy of the proposed system is validated both computationally in a real network and in a laboratory setup. It is found that this novel system can substantially reduce the grid load demand and maintain the power quality under various load/source uncertainties and fault conditions. The system robustness is also evaluated considering undesirable conditions, such as severe three-phase faults and sudden EB disconnections. The performance of the proposed method is compared with that of the day-ahead load management approach to validate its effectiveness under various scenarios.
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- 2020
10. Model Predictive Voltage and Power Control of Islanded PV-Battery Microgrids with Washout-Filter-Based Power Sharing Strategy
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Shan, Y, Hu, J, Liu, M, Zhu, J, Guerrero, JM, Shan, Y, Hu, J, Liu, M, Zhu, J, and Guerrero, JM
- Abstract
© 1986-2012 IEEE. This paper proposes a new control strategy of microgrids for the improved voltage quality. In the existing control techniques, the droop control is commonly adopted as a decentralized power sharing method at the cost of voltage deviations. Besides, the conventional cascaded control featuring relatively slow dynamic response shows difficulties in handling the fluctuation of renewable energy outputs, leading to further voltage quality deterioration. In this paper, an advanced model predictive power control strategy by considering the battery constraints is proposed for the bidirectional dc-dc converters to smooth the solar photovoltaic (PV) outputs and stabilize the dc-bus voltages. A model predictive voltage control scheme taking into account the voltage changing trend is then developed to control the distributed inverters to improve the output ac voltages. Furthermore, a washout-filter-based power sharing approach with the plug-and-play capability is adopted to achieve a proper load sharing among parallel inverters and mitigate the voltage deviation. The proposed control strategy is numerically simulated in MATLAB/Simulink and experimentally verified by hardware-in-the-loop tests under the condition of fluctuating PV outputs and variable power demands. (This paper is accompanied by a video showing the hardware-in-the-loop test.)
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- 2020
11. Optimal Energy Management in Smart-Grid
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NGUYEN QUANG, Ninh, RIVA SANSEVERINO, Eleonora, DI SILVESTRE, Maria Luisa, ZIZZO, Gaetano, Guerrero JM, Luna, AC, S.M. Muyeen, Saifur Rahman, Muyeen, SM, Rahman, S, Lehnhoff, S, Uslar, M, Bashir, N, Hassan, N, Yuen, C, Tushar, W, Musleh, AS, Al-Durra, A, Abou-Khousa, MA, Shutang, YL, Liu, Y, Khalid, HM, Riva Sanseverino, E, Di Silvestre, ML, Zizzo, G, Quang, NN, Luna Hernandez, AC, Guerrero JM, Jamian, JJ, Ariff Baharudin, M, Wazir Mustafa, M, Mokhlis, H, Beig, AR, Mumtaz, F, Bayram, IS, Elrayyah, A, Yang, Z, Li, K, Hemapala, K.T.M.U., Jayasinghe, S.L., Kulasekera,A.L., Babakmehr, M, Godoy Simoes, M, Srinivasa, RK, Konstantinou, C, Maniatakos, M, Czechowski , R, Nguyen Quang, N, Di silvestre M L, and Luna, AC
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Microgrids, energy management, optimization, energy hubs ,Settore ING-IND/33 - Sistemi Elettrici Per L'Energia - Abstract
In this chapter, the problem of energy management in smart-grids is outlined. Optimized energy management is here considered as the operation of energy and power flow control in the aim of attaining minimum cost or minimum power losses while meeting technical constraints. Of course, according to the type of energy system in which such operation is carried out, the meaningful variables and objectives in the problem may largely change. As the extension of the system increases, the influence of the physical behaviour of the electrical power lines takes a more important role. Power electronics takes instead an increasing influence, as the dimension of the power system decreases although Kirchhoff laws must always be verified. Energy management is also an interesting issue in multi-carrier energy hubs that implement a recent tendency in energy systems interfacing smart-grids. They include different energy resources that need to be managed differently, but in an integrated fashion. The chapter offers an overview of energy management in a smallsystem using a two levels centralized approach.
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- 2017
12. Energy scheduling of community microgrid with battery cost using particle swarm optimisation
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Hossain, MA ; https://orcid.org/0000-0001-9382-3935, Pota, HR ; https://orcid.org/0000-0002-9612-714X, Squartini, S, Zaman, F ; https://orcid.org/0000-0001-5078-8252, Guerrero, JM, Hossain, MA ; https://orcid.org/0000-0001-9382-3935, Pota, HR ; https://orcid.org/0000-0002-9612-714X, Squartini, S, Zaman, F ; https://orcid.org/0000-0001-5078-8252, and Guerrero, JM
- Abstract
The integration of renewable energy sources together with an energy storage system into a distribution network has become essential not only to maintain continuous electricity supply but also to minimise electricity costs. The operational costs of this paradigm depend highly upon the optimal use of battery energy. This paper proposes day-ahead scheduling of the battery energy while considering its degradation costs due to charging-discharging cycles. The degradation costs with respect to the depth of charge are modelled and added to the objective function to determine the actual operational costs of the system. A framework to solve the function is developed in which particle swarm optimisation, the Rainflow algorithm and scenario techniques are integrated. Uncertainties of parameters, modelled by scenario generation and reduced by scenario reduction techniques, are discussed. Simulation results demonstrate that the proposed method can reduce the operational costs by around 40% compared to the baseline method. They also reveal that uncertainty in power generation and power demand has no influence on the energy schedule of the battery, but variation in electricity prices has an impact on the outcome. Several pragmatic tests verify the effectiveness of the proposed method.
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- 2019
13. Distributed Control of Low-Voltage Resistive AC Microgrids
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Golsorkhi, MS, Shafiee, Q, Lu, DDC, Guerrero, JM, Golsorkhi, MS, Shafiee, Q, Lu, DDC, and Guerrero, JM
- Abstract
© 2019 IEEE. This paper proposes a distributed control strategy for coordination of distributed energy resources (DERs) in low-voltage resistive microgrids. The proposed framework consists of two level structures; primary and secondary control. Unlike the existing distributed control solutions, the proposed method is based upon the practical assumption of network impedance being resistive. The primary control level consists of a V-I droop mechanism, where GPS timing is used to synchronize the control agents. A consensus-based distributed secondary control method is introduced to improve the voltage regulation and load sharing accuracy of the V-I droop method. In the proposed approach, the d-axis component of the voltage is altered so as to regulate the average microgrid voltage to the rated value while guarantying proper sharing of active power among the DERs. Additionally, the q-axis component of voltage is adjusted to perform proper current and, accordingly reactive power sharing. The proposed control methodology accounts for the distribution line impedances. It features a plug-and-play environment; prior system knowledge is not required, and an arbitrary DER can enter the microgrid without any need for additional synchronization. An ac microgrid is prototyped to experimentally demonstrate the efficacy of the proposed method.
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- 2019
14. Voltage Stabilization: A Critical Step Toward High Photovoltaic Penetration
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Hu, J, Li, Z, Zhu, J, Guerrero, JM, Hu, J, Li, Z, Zhu, J, and Guerrero, JM
- Abstract
© 2007-2011 IEEE. The increasing photovoltaic (PV) power sources connected to low-voltage (LV) distribution networks generate a new grid environment featuring various types of power generations near consumers and bidirectional active and reactive power flows. However, the large-scale deployment of PVs is hindered by the power quality problems, particularly voltage deviation. To overcome this obstacle, proper mitigation techniques should be developed to eliminate the negative impacts of high-PV penetration in LV networks. This article provides an in-depth review of recently developed technologies that prevent voltage deviation in LV grids with PVs. Following an investigation of the voltage fluctuation phenomena along the distribution feeder due to variable PV output and power demand, the mathematical relationship between power flow and voltage level is revealed. The solutions that mitigate the voltage variation are then investigated and classified. Their effectiveness, advantages, and disadvantages are illustrated. Finally, the current trend in grid integration of PVs and other distributed generators (DGs) under future grid framework is discussed.
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- 2019
15. A GPS-based decentralized control method for islanded microgrids
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Golsorkhi, MS, Lu, DDC, Guerrero, JM, Golsorkhi, MS, Lu, DDC, and Guerrero, JM
- Abstract
© 1986-2012 IEEE. Coordinated control of distributed energy resources (DER) is essential for the operation of islanded microgrids (MGs). Conventionally, such coordination is achieved by drooping the frequency of the reference voltage versus active (or reactive) power. The conventional droop method ensures synchronized operation and even power sharing without any communication link. However, that method produces unwanted frequency fluctuations, which degrade the power quality. In order to improve the power quality of islanded MGs, a novel decentralized control method is proposed in this paper. In this method, the GPS timing technology is utilized to synchronize the DERs to a common reference frame, rotating at a nominal frequency. In addition, an adaptive Q-f droop controller is introduced as a backup to ensure stable operation during GPS signal interruptions. In the context of the common reference frame, even sharing of active ( id) and reactive (id) components of the current are achieved based on vd, id and vd, id droop characteristics. The method has been tested on a laboratory-scale MG. Experimental results demonstrate the efficacy of the proposed method in terms of dynamics, power quality, and robustness with respect to GPS interruptions.
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- 2017
16. A distributed control framework for integrated photovoltaic-battery-based islanded microgrids
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Golsorkhi, MS, Shafiee, Q, Lu, DDC, Guerrero, JM, Golsorkhi, MS, Shafiee, Q, Lu, DDC, and Guerrero, JM
- Abstract
© 2016 IEEE. This paper proposes a new cooperative control framework for coordination of energy storage units (ESUs), photovoltaic (PV) panels, and controllable load units in single-phase low voltage microgrids (MGs). The control objectives are defined and acted upon using a two level structure; primary and secondary control. Unlike conventional methods, a V-I droop mechanism is utilized in the primary control level. A distributed strategy is introduced for the secondary control level to regulate the MG voltage and manage state of charge (SoC) and power among the ESUs. The distributed secondary controllers are coordinated based on a leader-follower framework, where the leader restores the MG voltage to the rated value and the followers manage the sharing of power between the ESUs so as to balance the SoCs. Once the ESUs reach the minimum charge level, the information state increases above a positive critical value, at which point load control units perform load shedding. Similarly, fair PV curtailment is conducted in case the ESUs reach the maximum charge level. Experimental results are presented to demonstrate the efficacy of the proposed method.
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- 2017
17. A GPS-based control framework for accurate current sharing and power quality improvement in microgrids
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Golsorkhi, MS, Savaghebi, M, Lu, DDC, Guerrero, JM, Vasquez, JC, Golsorkhi, MS, Savaghebi, M, Lu, DDC, Guerrero, JM, and Vasquez, JC
- Abstract
© 1986-2012 IEEE. This paper proposes a novel hierarchical control strategy for improvement of load sharing and power quality in ac microgrids. This control framework is composed of a droop-based controller at the primary level, and a combination of distributed power sharing and voltage conditioning schemes at the secondary level. The controllers in the primary level use GPS timing technology to synchronize the local reference angles. The voltage reference of each distributed generation is adjusted according to a voltage-current (V-I) droop characteristic to enable proper current and power sharing with a fast dynamic response. The droop coefficient, which acts as a virtual resistance, is adaptively changed as a function of the peak current. This strategy not only simplifies the control design but also improves the current sharing accuracy at high loading conditions. The distributed power sharing scheme uses consensus protocol to ensure proportional sharing of average power. The voltage conditioning scheme produces compensation signals at fundamental and dominant harmonics to improve the voltage quality at a sensitive load bus. Experimental results are presented to validate the efficacy of the proposed method.
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- 2017
18. Distributed voltage control and load sharing for inverter-interfaced microdrid with resistive lines
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Golsorkhi, MS, Lu, DDC, Shafiee, Q, Guerrero, JM, Golsorkhi, MS, Lu, DDC, Shafiee, Q, and Guerrero, JM
- Abstract
© 2016 IEEE. This paper proposes a new distributed control method for coordination of distributed energy resources (DERs) in low-voltage resistive microgrids. The proposed framework consists of two level structure; primary and secondary control. Unlike the existing distributed control methods, the proposed method is based upon the practical assumption of resistive network impedance. In this context, a V-I droop mechanism is adopted in the primary control level, where GPS timing is used to synchronize the control agents. A new distributed secondary control method based on consensus protocol is introduced to improve the voltage regulation and load sharing accuracy of the V-I droop method. In this method, the d-axis components of the voltage is altered so as to regulate the average microgrid voltage to the rated value while guarantying proper sharing of active power among the DERs. Additionally, the q-axis component of voltage is adjusted to perform proper current and, accordingly reactive power sharing. The proposed control methodology accounts for the distribution line impedances. It features a plug-and-play environment; prior system knowledge is not required, and an arbitrary DER can enter the microgrid without any need for additional synchronization mechanisms. An AC microgrid is prototyped to experimentally demonstrate the efficacy of the proposed method.
- Published
- 2016
19. A GPS-based control method for load sharing and power quality improvement in microgrids
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Golsorkhi, MS, Lu, DDC, Savaghebi, M, Vasquez, JC, Guerrero, JM, Golsorkhi, MS, Lu, DDC, Savaghebi, M, Vasquez, JC, and Guerrero, JM
- Abstract
© 2016 IEEE. This paper proposes a novel control method for accurate sharing of load current among the Distributed Energy Resources (DER) and high power quality operating in islanded ac microgrids. This control scheme is based on hierarchical structure comprising of decentralized primary controllers and a centralized secondary controller. The controllers in the primary level use GPS timing technology to synchronize their local time with a common time reference. In this context, proportional current sharing is achieved by adjusting the reference voltage of each DER unit according to a voltage-current (V-I) droop characteristic. The droop coefficient, which acts as a virtual resistance, is adaptively changed as a function of peak current. This strategy not only simplifies the control design but also enables faster dynamics and higher accuracy of current sharing especially at high loading conditions. The secondary controller produces compensation signals at fundamental and dominant harmonics to improve the voltage quality at a sensitive load bus. Experimental results are presented to validate the efficacy of the proposed method.
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- 2016
20. Double Papillary Orifice
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Herrerías Gutiérriz Jm, Utrilla-Ayala Mc, Pellicer Bautista F, Hergueta-Delgado P, Martín-Guerrero Jm, and Fernández-Pérez Fj
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Cholangiopancreatography, Endoscopic Retrograde ,Male ,Choledochoduodenal fistula ,Ampulla of Vater ,medicine.medical_specialty ,Biliary Fistula ,business.industry ,Fistula ,Diagnostico diferencial ,Gastroenterology ,Gallstones ,medicine.disease ,Sphincterotomy, Transduodenal ,Surgery ,Anatomic variant ,Diagnosis, Differential ,Major duodenal papilla ,medicine ,Humans ,Radiology ,business ,Body orifice ,Biliary tract disease ,Aged - Published
- 1999
- Full Text
- View/download PDF
21. Virtual flux droop method - A new control strategy of inverters in microgrids
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Hu, J, Zhu, J, Dorrell, DG, Guerrero, JM, Hu, J, Zhu, J, Dorrell, DG, and Guerrero, JM
- Abstract
The parallel operation of inverters in microgrids is mainly based on the droop method. The conventional voltage droop method consists of adjusting the output voltage frequency and amplitude to achieve autonomous power sharing without control wire interconnections. Nevertheless, the conventional voltage droop method shows several drawbacks, such as complicated inner multiloop feedback control, and most importantly, frequency and voltage deviations. This paper proposes a new control strategy in microgrid applications by drooping the virtual flux instead of the inverter output voltage. First, the relationship between the inverter virtual flux and the active and reactive powers is mathematically obtained. This is used to develop a new flux droop method. In addition, a small-signal model is developed in order to design the main control parameters and study the system dynamics and stability. Furthermore, a direct flux control algorithm is employed to regulate the virtual flux according to the droop controller, which avoids the use of proportional-integral controllers and pulse-width modulation modulators. Both the simulation and experimental results show that the proposed flux droop strategy can achieve active and reactive power sharing with much lower frequency deviation than the conventional voltage droop method, thus highlighting the potential use in microgrid applications. © 2013 IEEE.
- Published
- 2014
22. A new virtual-flux-vector based droop control strategy for parallel connected inverters in microgrids
- Author
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Hu, J, Zhu, J, Qu, Y, Guerrero, JM, Hu, J, Zhu, J, Qu, Y, and Guerrero, JM
- Abstract
Voltage and frequency droop method is commonly used in microgrids to achieve proper autonomous power sharing without control wire interconnections. This paper proposes a new control strategy for parallel connected inverters in microgrid applications by drooping the flux instead of the inverter output voltage. Firstly, the relation between the inverter flux and the active and reactive powers is mathematically obtained. Secondly, a novel flux droop method is then developed in order to regulate active and reactive powers by drooping the flux amplitude and the phase angle, respectively. In addition, a small-signal model is developed in order to design the main control parameters and study the system dynamics and stability. The proposed control scheme includes a direct flux control (DFC) algorithm, which avoids the use of PI controllers and PWM modulators. The obtained results shows that the proposed flux droop strategy can achieve active and reactive power sharing with much lower frequency deviation and better transient performance than the conventional voltage droop method, thus highlighting the potential use in microgrid applications. © 2013 IEEE.
- Published
- 2013
23. Effect of melatonin administration on sleep, behavioral disorders and hypnotic drug discontinuation in the elderly: a randomized, double-blind, placebo-controlled study.
- Author
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Garzón C, Guerrero JM, Aramburu O, and Guzmán T
- Abstract
BACKGROUND AND AIMS: The aim of the study was to evaluate the effect of melatonin administration on sleep and behavioral disorders in the elderly and the facilitation of the discontinuation of regular hypnotic drugs. METHODS: This was a prospective, randomized, double-blind, placebo-controlled, crossover trial in a community-living population. Participants were 22 older adults (7 men, 15 women over 65) with a history of sleep disorder complaints. Fourteen of these subjects were receiving hypnotic drug therapy. Participants received 2 months of melatonin (5 mg/day) and 2 months of placebo. Sleep disorders were evaluated with the Northside Hospital Sleep Medicine Institute (NHSMI) test, discarding secondary insomnia and evaluating sleep quality. Behavioral disorders were evaluated with the Yesavage Geriatric Depression Scale (GDS) and Goldberg Anxiety Scale (GAS). Patients discontinuing hypnotic drugs were also recorded. RESULTS: Melatonin treatment for two months significantly improved sleep quality scores measured by the NHSMI test (1.78+/-0.40) when compared with both basal (3.72+/-0.45; p=0.001) and placebo (3.44+/-0.56; p=0.025) groups. Depression measured by GDS and anxiety measured by GAS also improved significantly after melatonin administration (p=0.043 and p=0.009, respectively). Nine out of 14 subjects receiving hypnotic drugs were able to discontinue this treatment during melatonin but not placebo administration; one discontinued hypnotic drugs during both melatonin and placebo administration, and four were unable to discontinue hypnotic therapy. CONCLUSIONS: The results of this study suggest that melatonin administration significantly improves sleep and behavioral disorders in the elderly and facilitates discontinuation of therapy with conventional hypnotic drugs. [ABSTRACT FROM AUTHOR]
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- 2009
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- View/download PDF
24. Differential adrenergic regulation of rat pineal cyclic AMP production and N-acetyltransferase activity during postnatal development: involvement of G alpha s and G alpha i1-2 proteins
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Harmouch, A, Guerrero, JM, Pozo, D, Rafii-el-Idrissi, M, Calvo, Reiter, RJ, and Osuna, C
- Abstract
We have studied why rat pineal N-acetyltransferase (NAT) activity is relatively insensitive to isoproterenol in young rats when compared with adult rats. We report that activation by isoproterenol of pineal cyclic AMP production and NAT activity is higher in adult than in 2-week-old rats. However, the effect of dibutyryl cyclic AMP, which enters the pinealocyte and duplicates the effect of cyclic AMP, on NAT activity was similar at both ages. Moreover, we found that both alpha- and beta-adrenergic receptors are highly specific at both ages, since the binding of the specific radioligands used to their receptors could be displaced only by their corresponding agonists and antagonists. However, we observed differences between pineals from young and adult rats when several families of the alpha subunit of G-proteins were studied in cell membranes. ADP-ribosylation and immunoblot studies have shown clear differences in both 42 and 45 kDa forms of the Gs alpha Both forms exhibit low values in pineals from 2-week-old animals when compared with 6-week-old. We also show that the later appearance of both Gs alpha forms is roughly similar to the potent activation of cyclic AMP production and NAT activity in adult rats when compared with young rats. In conclusion, the results presented suggest that the relative lack of sensitivity of rat pineal gland to beta-adrenergic receptor agonists early in the postnatal development may be explained by the low levels of membrane Gs alpha, rather than postreceptor-mediated mechanisms or changes in the characteristics of the beta-adrenergic receptors on the pinealocyte membrane.
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- 1997
- Full Text
- View/download PDF
25. Protein expression of heterotrimeric G-protein subunits in normal human dental pulp
- Author
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Pozo, D., Garcia-Perganeda, A., Segura, Jj, Jimenez-Rubio, A., Guerrero, Jm, and Juan R. Calvo
26. MELATONIN BINDING-SITES IN RAT THYMUS DURING DEVELOPMENT
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Martincacao, A., Lopezgonzalez, Ma, Juan R. Calvo, Segura, Jj, and Guerrero, Jm
27. Melatonin enhances IL-2, IL-6, and IFN-gamma production by human circulating CD4(+) cells - A possible nuclear receptor-mediated mechanism involving T helper type 1 lymphocytes and monocytes
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Garciamaurino, S., Gonzalezhaba, Mg, Juan R. Calvo, Rafiielidrissi, M., Sanchezmargalet, V., Goberna, R., and Guerrero, Jm
- Subjects
Immunology ,Immunology and Allergy - Abstract
This paper shows that melatonin is able to activate human Th1 lymphocytes by increasing the production of IL-2 and IFN-gamma in vitro. Th2 cells appear not to be affected by melatonin, since IL-4, which is mostly produced by Th2 cells, is not modified by the hormone. Melatonin also enhances IL-6 production by PBMCs. The activation by melatonin of IL-6 production is apparently related to the presence of monocytes, rather than to Th2 cells, in the cell preparation, since PBMCs depleted of monocytes (CD14+ cells) were not activated. Activation of PBMCs by melatonin was dependent on the dose and, measured by cytokine production, was observed only when cells were either not activated or only slightly activated by low concentrations of PHA, or when cell activation was achieved by incubating the cells with previously irradiated cells. Using a different approach to identify what type of cells among the PBMC subsets was activated by melatonin, the expression of CD69, a marker of cell activation, was studied. Melatonin increased the percentage of cells expressing the CD69 Ag in CD4+ but not in CD8+ cells. We have also achieved enhanced production of IL-2 and IL-6 using CGP 52608, a specific ligand of the putative nuclear melatonin receptor RZR/ROR, raising the possibility of direct effects of melatonin on gene regulation in both Th1 cells and monocytes. The results suggest that melatonin may be involved in the regulation of human immune functions by modulating the activity of Th1 cells and monocytes via nuclear receptor-mediated transcriptional control.
28. The modulatory role of melatonin on immune responsiveness
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Antonio Carrillo-Vico, Reiter, Rj, Lardone, Pj, Herrera, Jl, Fernandez-Montesinos, R., Guerrero, Jm, and Pozo, D.
29. VIP BINDING-SITES SENSITIVE TO GUANINE-NUCLEOTIDES IN RAT PERITONEAL MACROPHAGE MEMBRANES - MOLECULAR-IDENTIFICATION BY COVALENT CROSS-LINKING
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Juan R. Calvo, Guerrero, Jm, Lopezgonzalez, Ma, and Segura, Jj
30. Signal Transduction for Melatonin in Human Lymphocytes: Involvement of a Pertussis Toxin-Sensitive G Protein
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Garciaperganeda, A., Pozo, D., Guerrero, Jm, and Juan R. Calvo
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Immunology ,Immunology and Allergy - Abstract
We analyzed the melatonin signal transduction in human blood lymphocytes. High affinity melatonin receptors were identified by specific binding of 2-[125I]melatonin ([125I]MEL) to human lymphocyte membranes. Scatchard analysis of [125I]MEL binding revealed high affinity receptors, with a dissociation constant (Kd) of 0.45 nM and a binding capacity (Bmax) of 7.8 fmol/mg protein. Specific [125I]MEL binding was reduced markedly by GTP and its nonhydrolyzable analogues guanosine 5'-beta, gamma-imidotriphosphate (Gpp(NH)p) and guanosine 5'-O-(3-triphosphate) (GTP-gamma-S). Gpp(NH)p inhibited in a dose-dependent manner the [125I]MEL specifically bound to human lymphocyte membranes with a half-maximal inhibition (IC50) of 3.5 +/- 0.6 microM Gpp(NH)p. Treatment of human lymphocyte membranes with Gpp(NH)p increased the Kd value (Kd = 1.20 nM). Melatonin inhibited significantly and in a dose-dependent manner forskolin-stimulated cAMP production in intact human lymphocytes. Melatonin was able to stimulate diacylglycerol production in a dose-dependent manner in human lymphocyte membranes. Pertussis toxin treatment inhibited the specific [125I]MEL binding and blocked the ability of melatonin to both inhibit forskolin-stimulated cAMP production and stimulate diacylglycerol production. Pertussis toxin ADP-ribosylation and Western blot experiments demonstrated the protein expression of alpha i1/2, alpha i3/0, and beta gamma complexes of G proteins in human lymphocyte membranes. The results strongly suggest a pertussis toxin-sensitive melatonin signal transduction pathway in human lymphocytes that involves the inhibition of adenylyl cyclase and the stimulation of phospholipase C.
31. Immunomodulatory and Antioxidant Properties of Wheat Gluten Protein Hydrolysates in Human Peripheral Blood Mononuclear Cells
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Patricia J. Lardone, Justo Pedroche, Ivan Cruz-Chamorro, Guillermo Santos-Sánchez, Juan M. Guerrero, Francisco Millán, Antonio Carrillo-Vico, Ignacio Bejarano, Nuria Álvarez-Sánchez, María del Carmen Millán-Linares, María-Soledad Fernández-Pachón, [Cruz-Chamorro,I, Álvarez-Sánchez,N, Santos-Sánchez,G, Lardone,PJ, Bejarano,I, Guerrero,JM, Carrillo-Vico,A] Instituto de Biomedicina de Sevilla, IBiS (Universidad de Sevilla, HUVR, Junta de Andalucía, CSIC), Seville, Spain. [Cruz-Chamorro,I, Carrillo-Vico,A] Departamento de Bioquímica Médica y Biología Molecular e Inmunología, Universidad de Sevilla, Seville, Spain. [Pedroche,J, Millán,F] Plant Protein Group, Instituto de la Grasa, CSIC, Seville, Spain. [Fernández-Pachón,MS] Área de Nutrición y Bromatología, Departamento de Biología Molecular e Ingeniería Bioquímica, Universidad Pablo de Olavide, Sevilla, Spain. [Millán-Linares,MC] Cell Biology Unit, Instituto de la Grasa, CSIC, Seville, Spain. [Guerrero,JM] Departamento de Bioquímica Clínica, Unidad de Gestión de Laboratorios, Hospital Universitario Virgen del Rocío, Seville, Spain., This work was supported by the Spanish Government, Ministerio de Economía y Competitividad (AGL2012-40247-C02-01 and AGL2012-40247-C02-02) the Andalusian Government Ministry of Health (PC-0111-2016-0111) and the PAIDI Program from the Andalusian Government (CTS160). I.C.-C. was supported by Ministerio de Economía y Competitividad (AGL2012-40247-C02-02) and by a FPU grant from the Spanish Ministerio de Educación, Cultura y Deporte (FPU13/01210). N.Á.-S. was supported by Instituto de Salud Carlos III, Ministerio de Economía y Competitividad (RD06/0013/0001 and RD12/0043/0012). G.S.-S. was supported by a FPU grant from the Spanish Ministerio de Educación, Cultura y Deporte (FPU16/02339). I.B. was supported by the VI Program of Inner Initiative for Research and Transfer of University of Seville (VI PPIT-US)., Ministerio de Economía y Competitividad (España), Ministerio de Educación, Cultura y Deporte (España), Junta de Andalucía, Universidad de Sevilla, and Instituto de Salud Carlos III
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0301 basic medicine ,Antioxidant ,Protein Hydrolysates ,Technology and Food and Beverages::Food and Beverages::Food::Foods, Specialized::Functional Food [Medical Subject Headings] ,medicine.medical_treatment ,antioxidant capacity ,Leucocitos mononucleares ,medicine.disease_cause ,pro-inflammatory cytokines ,Antioxidants ,Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings] ,Chemicals and Drugs::Chemical Actions and Uses::Pharmacologic Actions::Molecular Mechanisms of Pharmacological Action::Antioxidants [Medical Subject Headings] ,chemistry.chemical_compound ,Functional Food ,oxidative stress ,Food science ,Cells, Cultured ,chemistry.chemical_classification ,Nutrition and Dietetics ,Chemistry ,Hydrolysis ,Interleukin-17 ,Phenomena and Processes::Metabolic Phenomena::Metabolism::Hydrolysis [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Clinical Laboratory Techniques::Immunologic Tests::Interferon-gamma Release Tests [Medical Subject Headings] ,Estrés oxidativo ,04 agricultural and veterinary sciences ,peripheral blood mononuclear cells ,040401 food science ,Glutathione ,Antioxidant capacity ,Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Peptides::Oligopeptides::Glutathione [Medical Subject Headings] ,Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Proteins::Plant Proteins::Seed Storage Proteins::Prolamins::Glutens [Medical Subject Headings] ,Wheat gluten protein hydrolysates ,Anatomy::Cells::Blood Cells::Leukocytes::Leukocytes, Mononuclear::Lymphocytes::T-Lymphocytes::T-Lymphocyte Subsets::T-Lymphocytes, Helper-Inducer::Th2 Cells [Medical Subject Headings] ,Inflammation Mediators ,lcsh:Nutrition. Foods and food supply ,Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Proteins::Membrane Proteins::Receptors, Cell Surface::Receptors, Immunologic::Receptors, Cytokine::Receptors, Interleukin::Receptors, Interleukin-17 [Medical Subject Headings] ,Antigenicity ,Glutens ,wheat gluten protein hydrolysates ,bioactive peptides ,glutathione ,Pro-inflammatory cytokines ,lcsh:TX341-641 ,Nitric Oxide ,Peripheral blood mononuclear cell ,Article ,Proinflammatory cytokine ,03 medical and health sciences ,Interferon-gamma ,Chemicals and Drugs::Amino Acids, Peptides, and Proteins::Proteins::Protein Hydrolysates [Medical Subject Headings] ,0404 agricultural biotechnology ,Th2 Cells ,Functional food ,medicine ,Humans ,Phenomena and Processes::Cell Physiological Phenomena::Cell Physiological Processes::Cell Growth Processes::Cell Proliferation [Medical Subject Headings] ,Bioactive peptides ,Cell Proliferation ,Th1 Cells ,Glútenes ,Gluten ,Chemicals and Drugs::Inorganic Chemicals::Nitrogen Compounds::Nitrogen Oxides::Nitric Oxide [Medical Subject Headings] ,030104 developmental biology ,Oxidative stress ,Peripheral blood mononuclear cells ,Anatomy::Hemic and Immune Systems::Blood::Blood Cells::Leukocytes::Leukocytes, Mononuclear [Medical Subject Headings] ,Anatomy::Cells::Blood Cells::Leukocytes::Leukocytes, Mononuclear::Lymphocytes::T-Lymphocytes::T-Lymphocyte Subsets::T-Lymphocytes, Helper-Inducer::Th1 Cells [Medical Subject Headings] ,Leukocytes, Mononuclear ,Chemicals and Drugs::Biological Factors::Inflammation Mediators [Medical Subject Headings] ,Food Science - Abstract
Peptides from several plant food proteins not only maintain the nutritional values of the original protein and decrease the environmental impact of animal agriculture, but also exert biological activities with significant health-beneficial effects. Wheat is the most important food grain source in the world. However, negative attention on wheat-based products has arose due to the role of gluten in celiac disease. A controlled enzymatic hydrolysis could reduce the antigenicity of wheat gluten protein hydrolysates (WGPHs). Therefore, the aims of the present study were to evaluate the effects of the in vitro administration of Alcalase-generated WGPHs on the immunological and antioxidant responses of human peripheral blood mononuclear cells (PBMCs) from 39 healthy subjects. WGPH treatment reduced cell proliferation and the production of the Type 1 T helper (Th1) and Th17 pro-inflammatory cytokines IFN-γ and IL-17, respectively. WPGHs also improved the cellular anti-inflammatory microenvironment, increasing Th2/Th1 and Th2/Th17 balances. Additionally, WGPHs improved global antioxidant capacity, increased levels of the reduced form of glutathione and reduced nitric oxide production. These findings, not previously reported, highlight the beneficial capacity of these vegetable protein hydrolysates, which might represent an effective alternative in functional food generation., This work was supported by the Spanish Government, Ministerio de Economía y Competitividad (AGL2012-40247-C02-01 and AGL2012-40247-C02-02) the Andalusian Government Ministry of Health (PC-0111-2016-0111) and the PAIDI Program from the Andalusian Government (CTS160). I.C.-C. was supported by Ministerio de Economía y Competitividad (AGL2012-40247-C02-02) and by a FPU grant from the Spanish Ministerio de Educación, Cultura y Deporte (FPU13/01210). N.Á.-S. was supported by Instituto de Salud Carlos III, Ministerio de Economía y Competitividad (RD06/0013/0001 and RD12/0043/0012). G.S.-S. was supported by a FPU grant from the Spanish Ministerio de Educación, Cultura y Deporte (FPU16/02339). I.B. was supported by the VI Program of Inner Initiative for Research and Transfer of University of Seville (VI PPIT-US).
- Published
- 2020
32. Optimal power flow based on glow worm-swarm optimization for three-phase islanded microgrids
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Maria Luisa Di Silvestre, Eleonora Riva Sanseverino, Chendan Li, Ninh Nguyen Quang, Antonino Madonia, Josep M. Guerrero, Nguyen Quang, N, Riva Sanseverino, E, Di Silvestre, ML, Madonia, A, Guerrero, JM., and Li, C
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Engineering ,business.industry ,Islanded microgrid ,Glowworm swarm optimization ,Glow-worm swarm optimization ,Swarm behaviour ,Control engineering ,Power (physics) ,Settore ING-IND/33 - Sistemi Elettrici Per L'Energia ,Optimal power flow, three phase systems, islanded microgrid, glow-worm swarm optimization ,Smart grid ,Three-phase ,Control theory ,Distributed generation ,Power electronics ,Three phase systems ,Voltage droop ,business ,Optimal power flow - Abstract
This paper presents an application of the Glowworm Swarm Optimization method (GSO) to solve the optimal power flow problem in three-phase islanded microgrids equipped with power electronics dc-ac inverter interfaced distributed generation units. In this system, the power injected by the distributed generation units and the droop control parameters are considered as variables to be adjusted by a superior level control. Two case studies with different optimized parameters have been carried out on a 6-bus test system. The obtained results showed the effectiveness of the proposed approach and overcomes the problem of OPF in islanded microgrids showing loads unbalance.
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- 2014
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33. A parametric study on unbalanced three phase islanded microgrids with inverter interfaced units
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Maria Luisa Di Silvestre, Gaetano Zizzo, Eleonora Riva Sanseverino, Josep M. Guerrero, Ninh Nguyen Quang, Riva Sanseverino, E, Nguyen Quang, N, Zizzo, G, Di Silvestre, ML, and Guerrero, JM.
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Engineering ,Three phase ,Islanded power flow ,business.industry ,Unbalanced systems ,Automatic frequency control ,Control engineering ,unbalanced systems ,Power factor ,Power (physics) ,Settore ING-IND/33 - Sistemi Elettrici Per L'Energia ,microgrid ,Three-phase ,Control theory ,Inverter ,three phase ,Microgrids ,business ,Parametric statistics ,Voltage ,Power control - Abstract
In this paper, the solution of the power flow for unbalanced three phase microgrids systems is proposed. The study aims at the integration of inverter interfaced units using the control law used for primary voltage and frequency regulation, so as to take into account possible small variations of these parameters to account for sudden load changes. The proposed study deals with unbalanced systems which is the typical case of small distribution systems and shows how the power losses term varies as the regulators parameters vary as well, thus showing that these are sensitive parameters that could have an important role in optimal management of such systems.
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- 2013
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34. Non-Invasive Prenatal Diagnosis of Multiple Endocrine Neoplasia Type 2A Using COLD-PCR Combined with HRM Genotyping Analysis from Maternal Serum
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Manuel Conde-Sanchez, Amalia Rubio-Calvo, Elena Navarro, Hada C. Macher, Alzenira F. Costa, Juan M. Guerrero, Maria A. Martinez-Broca, Cristina Leon-Garcia, [Macher,HC, Rubio-Calvo,A, Leon-Garcia,C, Conde-Sanchez,M, Costa,A, Guerrero,JM] Department of Clinical Biochemistry, The Virgen del Rocıo University Hospital (IBiS/CSIC/SAS/University of Seville), Seville, Spain. [Martinez-Broca,MA, Navarro,E] Department of Endocrinology, The Virgen del Rocıo University Hospital (IBiS/CSIC/SAS/University of Seville), Seville, Spain., and Instituto de Salud CarlosIII,Red RETICEF RD06/00130001.
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Oncology ,Pathology ,lcsh:Medicine ,Multiple Endocrine Neoplasia Type 2a ,Polymerase Chain Reaction ,Endocrinology ,Diseases::Endocrine System Diseases::Endocrine Gland Neoplasms::Multiple Endocrine Neoplasia [Medical Subject Headings] ,Pregnancy ,Diseases::Endocrine System Diseases::Endocrine Gland Neoplasms::Multiple Endocrine Neoplasia::Multiple Endocrine Neoplasia Type 2a [Medical Subject Headings] ,Prenatal Diagnosis ,Genotype ,ADN Polimerasa ,Técnicas de Genotipaje ,Thyroid, Medullary Carcinoma ,lcsh:Science ,Endocrine Tumors ,Mujeres Embarazadas ,Thyroid ,Clinical Chemistry ,Multidisciplinary ,Cancer Risk Factors ,Clinical Laboratory Sciences ,Neoplasia Endocrina Múltiple ,Autosomal Dominant ,Mutation (genetic algorithm) ,Medicine ,Female ,Research Article ,Adult ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Techniques, Obstetrical and Gynecological::Prenatal Diagnosis [Medical Subject Headings] ,medicine.medical_specialty ,Phenomena and Processes::Genetic Phenomena::Genetic Variation::Mutation [Medical Subject Headings] ,Genetic Causes of Cancer ,Prenatal diagnosis ,Biology ,Melting curve analysis ,Adrenal Tumors ,Diagnostic Medicine ,Internal medicine ,medicine ,Humans ,Neoplasia Endocrina tipo 2A ,Genotyping ,Clinical Genetics ,COLD-PCR ,Named Groups::Persons::Women::Pregnant Women [Medical Subject Headings] ,Fetus ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Genetic Techniques::Genotyping Techniques [Medical Subject Headings] ,Mutación ,Point mutation ,lcsh:R ,Proto-Oncogene Proteins c-ret ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Genetic Techniques::Nucleic Acid Amplification Techniques::Polymerase Chain Reaction [Medical Subject Headings] ,Cancers and Neoplasms ,Diagnóstico Prenatal ,Mutation ,Adrenal Cortex ,lcsh:Q - Abstract
Journal Article; Research Support, Non-U.S. Gov't; The multiple endocrine neoplasia type 2A (MEN2A) is a monogenic disorder characterized by an autosomal dominant pattern of inheritance which is characterized by high risk of medullary thyroid carcinoma in all mutation carriers. Although this disorder is classified as a rare disease, the patients affected have a low life quality and a very expensive and continuous treatment. At present, MEN2A is diagnosed by gene sequencing after birth, thus trying to start an early treatment and by reduction of morbidity and mortality. We first evaluated the presence of MEN2A mutation (C634Y) in serum of 25 patients, previously diagnosed by sequencing in peripheral blood leucocytes, using HRM genotyping analysis. In a second step, we used a COLD-PCR approach followed by HRM genotyping analysis for non-invasive prenatal diagnosis of a pregnant woman carrying a fetus with a C634Y mutation. HRM analysis revealed differences in melting curve shapes that correlated with patients diagnosed for MEN2A by gene sequencing analysis with 100% accuracy. Moreover, the pregnant woman carrying the fetus with the C634Y mutation revealed a melting curve shape in agreement with the positive controls in the COLD-PCR study. The mutation was confirmed by sequencing of the COLD-PCR amplification product. In conclusion, we have established a HRM analysis in serum samples as a new primary diagnosis method suitable for the detection of C634Y mutations in MEN2A patients. Simultaneously, we have applied the increase of sensitivity of COLD-PCR assay approach combined with HRM analysis for the non-invasive prenatal diagnosis of C634Y fetal mutations using pregnant women serum. Yes
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- 2012
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35. A novel hierarchical control strategy for enhancing stability of a DC microgrid feeding a constant power load.
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Louassaa K, Guerrero JM, Boukerdja M, Chouder A, Khan B, Cherifi A, and Yousaf MZ
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In recent years, DC microgrids supplying constant power loads (CPLs) have attracted significant attention due to their impact on overall system stability, which is attributed to their electrical characteristics that exhibit negative incremental impedance. This paper examines a secondary control strategy aimed at ensuring accurate power sharing and voltage restoration within an islanded DC microgrid supplying a constant power load. The droop control function is typically used in the primary control layer to facilitate power sharing among distributed generators (DGs). However, differing load profiles may cause the DC bus voltage to deviate from its nominal value. To restore the DC bus voltage to its nominal value while maintaining accurate power sharing, a primary and secondary control scheme is proposed. This scheme employs an integrated control strategy combining sliding mode control for the primary control level and H-infinity control for secondary control. The approach is based on a two-time-scale stability analysis, i.e., the settling time of the primary control must be faster than that of the secondary control. Additionally, compared to most existing methods, the proposed approach requires no global information and depends exclusively on DC bus voltage feedback, eliminating the need for passive loads in parallel with the CPL. A test system of an islanded DC microgrid feeding a CPL is created using Matlab and PSIM software to assess the proposed method. An experimental prototype comprising two DGs and a tightly voltage-controlled boost converter emulating a CPL is developed to demonstrate the proposed approach and confirm the theoretical results., Competing Interests: Declarations. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)
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- 2025
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36. Author Correction: Optimal planning and sizing of microgrid cluster for performance enhancement.
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Bekele A, Khan B, Zdiri MA, Guerrero JM, Chaudhary S, Vasquez JC, and Tinajero GDA
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- 2025
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37. Malignant pleural effusion risk based on a novel tool using homocysteine and carcinoembryonic antigen in pleural fluid: A multicenter study.
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Santotoribio JD, Corral-Pérez J, Nuñez-Jurado D, Fatela-Cantillo D, La Torre ÁG, Orantes-Maroto G, Valle-Vázquez LD, Castillo-Otero DD, Maira-Gonzalez N, Cobos-Díaz A, Guerrero JM, and Lopez-Saez JB
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- Humans, Female, Male, Middle Aged, Aged, Adult, Homocysteine metabolism, Carcinoembryonic Antigen metabolism, Pleural Effusion, Malignant metabolism, Pleural Effusion, Malignant diagnosis
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Introduction: This multicenter study aimed to evaluate the Malignant Pleural Effusion Risk (MPER) diagnostic accuracy in distinguishing between benign and malign pleural effusion., Methods: MPER is based on pleural fluid Homocysteine (HCY) and carcinoembryonic antigen (CEA) that were measured using three different methods. MPER was calculated by assessing a previously published probabilistic model: Probability (%) = 100× (1 + e-z)-1, where Z = 0.5471 × [HCY] + 0.3846 × [CEA]-8.2671., Results: A total of 301 patients were included (140 MPE). MPER demonstrated a high AUC (0.891), sensitivity (84.3 %), and specificity (80.7 %) with a cut-off > 35.3 %., Conclusions: The MPER model demonstrated a high diagnostic accuracy supporting its use as a novel and powerful tool., 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 Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.)
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- 2025
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38. Multicenter Study of the Impact of COVID-19 in Type 2 Diabetes Quality Management.
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Leon-Justel A, Fernandez-Riejos P, Fuentes S, Martin S, Pareja-Mejia MJ, Martinez-Brocca MA, Dominguez I, Bobillo J, Soto-Moreno A, Cozar-Leon MV, Alvarez-Aragon LM, Roldan ME, Mayoral E, and Guerrero JM
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- Humans, Retrospective Studies, Female, Male, Middle Aged, Aged, SARS-CoV-2, Pandemics, Spain epidemiology, Quality of Health Care, COVID-19 epidemiology, COVID-19 therapy, COVID-19 complications, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 therapy, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 blood, Glycated Hemoglobin analysis, Glycated Hemoglobin metabolism
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Background: Epidemics and pandemics have been shown to have widespread effects on health systems. Diabetes is a condition of particular risk during national emergencies such as the COVID-19 pandemic. The aim of this study is to determine the influence of COVID-19 in the patient's diabetes quality management., Methods: We conducted a retrospective multicenter cohort study. Data from type 2 diabetes patients living in Sevilla were included into the study. The study was divided into two observation periods, before and during COVID-19. Metabolic status was assessed using the levels of hemoglobin A1c (A1C) measured during the pre- and CO-VID-19 period. The time interval between sequential A1C tests were also measured. We as well identified the loca-tions where the burden of diabetes quality management is clustered and their relation with demographic and economic factors., Results: We included a total of 106,336 patients from four different hospitals. A significant number patients have worsened their quality management during COVID-19. During the first year of the pandemic, 72,235 patients did not have any hemoglobin A1c (A1C) control. By the time of data extraction, the time between A1C controls was significantly increased by 309 days (from 211 to 520). In addition, 34,001 patients who had A1C control during the COVID-19 period did not reveal a deterioration of their metabolic status. They showed a small but significant metabolic improvement indicated by reduced A1C levels from 52 mmol/mol to 51 mmol/mol. Just like the other group, these patients showed a significant increase of 29 days (from 195 to 224) between A1C controls. COVID-19 increased the substantial clustering for diabetes quality management in specific locations, mostly along the rural southeastern area of Sevilla and these variations were associated with economic and socio-demographic variants., Conclusions: Our study highlighted the great impact of the COVID-19 in diabetes quality management exacerbating the previous inequities and disparities. Our results highlight the need for urgent patient intervention in the areas with high burdens of poorer quality management.
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- 2025
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39. A novel hybrid methodology for wind speed and solar irradiance forecasting based on improved whale optimized regularized extreme learning machine.
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Syama S, Ramprabhakar J, Anand R, Meena VP, and Guerrero JM
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With rising demand for electricity, integrating renewable energy sources into power networks has become a key challenge. The fast incorporation of clean energy sources, particularly solar and wind power, into the existing power grid in the last several years has raised a major problem in controlling and managing the power grid due to the intermittent nature of these sources. Therefore, in order to ensure the safe RES integration providing high-quality power at a fair price and for the secure and reliable functioning of electrical systems, a precise one-day-ahead solar irradiation and wind speed forecast is essential for a stable and safe hybrid energy system. Here, we propose a novel hybrid methodology for wind speed and solar irradiance forecasting. The proposed integrated model employs complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to decompose time series data into a sequence of intrinsic mode functions of lower complexity. Further, permutation entropy is employed to extract the complexity of IMFs for filtering and reconstruction of decomposed components to alleviate the difficulty of direct modeling. Then, a unique swarm intelligence technique, the non-linear dimension learning Hunting Whale Optimization Algorithm (NDLHWOA), is devised to optimize regularized extreme learning machine model parameters to capture the implicit information of each reconstructed sub-series. By integrating a non-linear convergence parameter and the dimension learning hunting approach, the performance of WOA can be drastically enhanced, leading to premature convergence, enhanced population variety, and effective global search. The final prediction outcome is obtained by summing the individual reconstructed sub-series prediction outcomes. To evaluate its efficacy, the proposed model is compared to five well-established models. The evaluation criteria demonstrate that the suggested method outperforms the existing methods in terms of prediction accuracy and stability, thus confirming that a hybrid forecasting model approach combining an efficient decomposition method with a simplified but efficient parameter-optimized neural network can enhance its accuracy and stability., Competing Interests: Declarations. Competing interests: The authors declare no competing interests. Consent for publication: Authors transfer to Springer the publication rights and warrant that our contribution is original., (© 2024. The Author(s).)
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- 2024
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40. Spanish catheter ablation registry. 23rd official report of the Heart Rhythm Association of the Spanish Society of Cardiology (2023).
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Bazan V, Arana E, Rubio-Campal JM, Calvo D, Álvarez Acosta L, Hernández Afonso J, Ramos Ardanaz P, Peñafiel Verdú P, Cano Calabria LR, Barrera Cordero A, Barrera Cordero A, Barrera Cordero A, Barrera Cordero A, Barrera Cordero A, Díaz Infante E, Cózar León R, Lozano Granero VC, Martínez Sande JL, Moya Mitjans À, Rodríguez Entem F, Salgado Aranda R, Salgado Aranda R, Gil Ortega I, Cabanas Grandío P, Alcalde Rodriguez Ó, García Fernández FJ, Sarquella-Brugada G, Castro Urda V, Fidalgo Andrés ML, Durán Guerrero JM, Mazuelos Bellido F, Rubio Caballero JA, Pérez Roselló V, Cabrera Ramos M, Rubio Campal JM, Rubio Campal JM, Porta Sánchez A, Hidalgo Olivares VM, Rubín López JM, Jiménez López J, Grande Morales CE, Fernández Gómez JM, Jiménez Candil J, Moreno Garrido R, Moraleda Salas MT, Rodríguez Muñoz D, Vázquez Esmorís I, Ibáñez Criado JL, Ibáñez Criado A, Arcocha Torres MF, Bastos Amador P, Elices Teja J, Pavón Jiménez R, Álvarez López M, Martín Sánchez G, Benezet Mazuecos J, Gómez Pulido F, Arce León A, Quesada Dorador A, Mendoza Lemes H, Herreros Guilarte B, Osca Asensi J, Datino Romaniega T, Datino Romaniega T, Sarrias A, Ferrer Hita JJ, Lozano Herrera JM, Ángel Arias M, Rivas Gandara N, Sánchez Borque P, García Cuenca E, Bochard Villanueva B, Alonso Fernández P, Valverde André I, Moraleda Salas MT, Sandín Fuentes MG, Pastor Fuentes A, Portales Fernández J, Ruiz Hernández PM, Guasch Casany E, Pedrote A, Asso Abadía A, Guerra Ramos JM, Anguera I, Cantalapierda J, Sainz Godoy Í, Domínguez Mafé E, Rodriguez Font E, Martí Almor J, Moreno Arribas J, Merino Llorens JL, Merino Llorens JL, Merino Llorens JL, Bertomeu González V, Benito Martín EM, Mosquera Pérez I, Álvarez López M, Peláez González A, Jiménez Díaz FJ, Saurí Ortiz A, Luque Lezcano AÓ, Segura Villalobos F, Almendral Garrote J, Salvador Montañés Ó, González Ferrer JJ, Gómez Pulido F, Peinado Peinado R, Fabregat Andrés Ó, Arenal Á, Moreno S, and Del Castillo ÁM
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- Adult, Aged, Female, Humans, Male, Middle Aged, Arrhythmias, Cardiac surgery, Arrhythmias, Cardiac epidemiology, Atrial Fibrillation surgery, COVID-19 epidemiology, Registries, Societies, Medical, Spain epidemiology, Cardiology, Catheter Ablation methods
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Introduction and Objectives: We report the results of the 2023 Spanish catheter ablation registry., Methods: Procedural data were collected and incorporated into the REDCap platform by all participating centers through a specific form., Results: There were 104 participating centers in 2023 compared with 103 in 2022. In 2023, the total number of ablation procedures was 26 207, indicating a stabilization of the increase observed in 2022 following the pandemic. The increase was mainly due to procedures for atrial fibrillation (AF), with a total of 9942 ablations, representing 38% of all substrates. Notably, pulse-field ablation represented 10.3% of all AF ablation procedures, leading single-shot ablation strategies to outnumber point-by-point AF ablation for the first time in the history of the registry. Cavotricuspid isthmus ablation remained the second most targeted substrate (19% of all substrates, n=5067). The overall acute success rate remained high (97%), with a downward trend in the complication rate (1.6% vs 1.8% in 2022) and mortality rate (0.03%; n=7). Compared with 2022, there was a significant increase in procedures performed using electro-anatomical mapping and zero-fluoroscopy techniques for cavotricuspid isthmus ablation (52% vs 26%), AV node re-entrant tachycardia (48% vs 34%), and accessory pathways (62% vs 22%). We registered 466 ablations in pediatric patients., Conclusions: The data indicate a stabilization in the post-pandemic increase in ablation procedures, with an absolute and relative increase in AF as the predominant substrate. Success rates remained stable with a modest reduction in complication and mortality rates., (Copyright © 2024 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.)
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- 2024
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41. Optimal planning and sizing of microgrid cluster for performance enhancement.
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Bekele A, Khan B, Zdiri MA, Guerrero JM, Chaudhary S, Vasquez JC, and Agundis Tinajero GD
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Access to electricity is a key indicator of a country's development. In developing nations like Ethiopia, this metric is particularly crucial for assessing progress. Currently, about 45.8% of Ethiopia's population lacks access to electricity, with rural areas experiencing even higher rates, reaching 57.2%. The Southern Nations, Nationalities, and People's (SNNP) region faces the greatest challenge, with 62.1% of its population lacking electricity. Ethiopia aims to achieve universal electricity access by 2030, and microgrid (MG) development is expected to play a pivotal role in meeting this goal. This study employs a multi-tier framework (MTF) to categorize village households based on electricity access, considering factors like income level and willingness to pay, to support the MG development process. Three villages-Toba, Koza, and Womba-in the SNNP region were selected for optimal MG sizing. Sensitivity variables such as global horizontal irradiance (GHI) variation, photovoltaic (PV) and battery prices, battery usage limits, and capacity shortage levels were analyzed for their impact on net present cost (NPC), initial capital cost, and cost of energy (COE) using HOMER Pro software. For example, in the Toba MG, increasing the capacity shortage from 0 to 10% reduced the COE from 0.1195 $/kWh to 0.09104 $/kWh, a 23.82% decrease. Additionally, fluctuations in PV and battery prices had a direct impact on the system's NPC. The study also explored the impact of clustering the microgrids by interconnecting the three individual systems and conducting a techno-economic analysis. The comparison between standalone MG operation and clustered microgrids revealed that, despite the added cost of interconnection, the benefits in terms of technological, economic, and reliable operation of the clustered system were comparable to standalone microgrids. Finally, a feasibility study was conducted for the potential grid extension of the Toba MG, which is located 130 km from the nearest substation in Sawla., (© 2024. The Author(s).)
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- 2024
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42. An integrated binary metaheuristic approach in dynamic unit commitment and economic emission dispatch for hybrid energy systems.
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Syama S, Ramprabhakar J, Anand R, and Guerrero JM
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The current generation portfolio is obligated to incorporate zero-emissions energy sources, predominantly wind and solar, due to the depletion of fossil fuels and the alarming rate of global warming. In the current scenario, power engineers must devise a compromised solution that not only advocates for the adoption of renewable energy sources (RES) but also efficiently schedules all conventional power generation units to balance the increasing load demand while simultaneously minimizing fuel costs and harmful emissions that are currently addressed by Unit Commitment (UC) and Combined Economic Emission Dispatch (CEED) problem solutions. However, the integration of renewable energy resources (RES) further complicates the UC-CEED problem due to their intermittent nature. Recently, metaheuristic algorithms are acquiring momentum in resolving constrained UC-CEED problems due to their improved global solution ability, adaptability, and derivative-free construction. In this research, a computationally efficient binary hybrid version of crow search algorithm and improvised grey wolf optimization is proposed, namely Crow Search Improved Binary Grey Wolf Optimization Algorithm (CS-BIGWO) by inclusion of nonlinear control parameter, weight-based position updating, and mutation approach. Statistical results on standard mathematical functions prove the supremacy of the proposed algorithm over conventional algorithms. Further, a novel optimization strategy is devised by integrating enhanced lambda iteration with the CS-BIGWO algorithm (CS-BIGWO- λ ) to solve a day-ahead UC-CEED problem of the hybrid energy system incorporating cost functions of RES. For the model, a day-ahead forecast of wind power and solar photovoltaic power is obtained by using the Levy-Flight Chaotic Whale Optimization Algorithm optimized Extreme Learning Machines(LCWOA-ELM). The proposed algorithm is tested for the UC-CEED solution of an IEEE-39 bus system with two distinct cases: (1) without RES integration and (2) with RES integration. Several independent trial runs are executed, and the performance of the algorithms is assessed based on optimal UC schedules, fuel cost, emission quantization, convergence curve, and computational time. For case 1, the proposed algorithm resulted in a percentage reduction of 0.1021% in fuel cost and 0.7995% in emission. In contrast, for test case 2, it resulted in a percentage reduction of 0.12896% in fuel cost and 0.772% in emission with the proposed algorithm. The results validate the dominance of the proposed methodology over existing methods in terms of lower fuel costs and emissions., (© 2024. The Author(s).)
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- 2024
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43. Artificial intelligence for cybersecurity monitoring of cyber-physical power electronic converters: a DC/DC power converter case study.
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Habibi MR, Guerrero JM, and Vasquez JC
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Power electronic converters are widely implemented in many types of power applications such as microgrids. Power converters can make a physical connection between the power resources and the power application. To control a power converter, required data such as the voltage and the current of that should be measured to be used in a control application. Therefore, a communication-based structure including sensors and communication links can be used to measure the desired data and transmit that to the controllers. So, a power converter-based system can be considered as a type of cyber-physical system, and it can be vulnerable to cyber-attacks. Then, it can strongly be recommended to use a strategy for a power converter-based system to monitor the system and identify the existence of cyber-attack in the system. In this study, artificial intelligence (AI) is deployed to calculate the value of the false data (i.e., constant false data, and time-varying false data) and detect false data injection cyber-attacks on power converters. Besides, to have a precise technical evaluation of the proposed methodology, that is evaluated under other issues, i.e., noise, and communication link delay. In the case of noise, the proposed strategy is examined under noises with different signal-to-noise ratios . Further, for the case of the communication delay, the system is examined under both symmetrical (i.e., same communication delay on all inputs) and unsymmetrical communication delays (i.e., different communication delay/delays on the inputs). In this work, artificial neural networks are implemented as the AI-based application, and two types of the networks, i.e., feedforward (as a basic type) and long short-term memory (LSTM)-based network as a more complex network are tested. Finally, three important AI-based techniques (regression, classification, and clustering) are examined. Based on the obtained results, this work can properly identify and calculate the false data in the system., (© 2024. The Author(s).)
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- 2024
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44. Effect of Primary Cable Position on Accuracy in Non-Toroidal-Shaped Pass-Through Current Transformer.
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Guerrero JM, Platero CA, Blázquez F, and Sánchez JA
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Non-toroidal-shaped primary pass-through protection current transformers (CTs) are used to measure high currents. Their design provides them with a big airgap that allow the passing of several cables per phase though them, which is the main advantage versus toroidal types, as the number of CTs required to measure the whole phase current is drastically reduced. The cables passed through the transformer window can be in several positions. As the isolines of the magnetic field generated by the primary currents are centered in the cables, if these cables are not centered in the transformer window, then the magnetic field will be non-uniform along the transformer core. Consequently, local saturations can appear if the cables are not properly disposed, causing the malfunction of the CT. In this paper, the performance of a non-toroidal-shaped protection CT is studied. This research is focused on the influence of the cable position on possible partial saturations of the CT when it is operating near to its accuracy limit. Depending on the cable position, the ratio of the primary and secondary currents can depart from the assigned ratio. The validation of this phenomenon was carried out via finite element analysis (FEA), showing that partial transformer core saturations appear in areas of the magnetic core close to the cable. By applying FEA, the admissible accuracy region for cable positioning inside the CT is also delimited. Finally, the simulation results are ratified with experimental tests performed in non-toroidal protection CTs, varying the primary cables' positions, which are subjected to currents up to 5 kA, achieving satisfactory results. From this analysis, installation recommendations are given.
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- 2024
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45. Biologically effective dose (BED) value lower than 120 Gy improve outcomes in lung SBRT.
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Jimenez-Jimenez E, Marti-Laosa MM, Nieto-Guerrero JM, Perez ME, Gómez M, Lozano E, and Sabater S
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- Humans, Retrospective Studies, Lung, Carcinoma, Non-Small-Cell Lung pathology, Lung Neoplasms pathology, Radiosurgery methods, Small Cell Lung Carcinoma
- Abstract
Background: Lung SBRT has a well-defined role in the treatment of patients with early stage non-small cell lung cancer who are not surgical candidates or refuse surgery. Biologically effective dose (BED) of greater than or equal to 100 Gy has been recommended. However, optimal fractionation remains unclear. Our objective was analyze patients treated with lung SBRT in our institution and evaluate outcomes according prescribed dose., Patients and Methods: One hundred nine patients with early non-small cell lung cancer and treated with lung SBRT were retrospectively analyzed. Differences between dose received, local control, and survival were evaluated. For comparison of BEDs, the prescribed dose for SBRT was stratified according to two groups: high (BED > 120 Gy) and low (BED < 120 Gy)., Results: A relationship between mortality and total dose (54.7 Gy ± 4.8) was observed. Significantly worse survival was observed for patients with higher total doses (p < 0.003). It was found that patients receiving BED > 120 had increased mortality compared to patients receiving BED < 120 (p = 0.021). It was observed mean dose/fraction 12.6 Gy/f was a protective factor and decreased the probability of death., Conclusion: Our data suggest that mean total dose lower 54 and a calculated BED < 120 Gy is the optimal. Further prospective data are needed to confirm these results and determine the optimal dose fractionation scheme as a function of tumor size and location of volume., (© 2023. The Author(s), under exclusive licence to Federación de Sociedades Españolas de Oncología (FESEO).)
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- 2024
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46. Hybrid off-grid energy systems optimal sizing with integrated hydrogen storage based on deterministic balance approach.
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Selim A, El-Shimy M, Amer G, Ihoume I, Masrur H, and Guerrero JM
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The transition to sustainable power infrastructure necessitates integrating various renewable energy sources efficiently. Our study introduces the deterministic balanced method (DBM) for optimizing hybrid energy systems, with a particular focus on using hydrogen for energy balance. The DBM translates the sizing optimization problem into a deterministic one, significantly reducing the number of iterations compared to state-of-the-art methods. Comparative analysis with HOMER Pro demonstrates a strong alignment of results, with deviations limited to a 5% margin, confirming the precision of our method in sizing determinations. Utilizing solar and wind data, our research includes a case study of Cairo International Airport, applying the DBM to actual energy demands., (© 2024. The Author(s).)
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- 2024
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47. A Secure Dual-Layer Fault Protection Strategy for Distribution Network with DERs: Enhancing Security in the Face of Communication Challenges.
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Al Hanaineh W, Matas J, Guerrero JM, and Bakkar M
- Abstract
Earlier protection methods mainly focused on using communication channels to transmit trip signals between the protective devices (PDs), with no solutions provided in the case of communication failure. Therefore, this paper introduces a dual-layer protection system to ensure secure protection against fault events in the Distribution Systems (DSs), particularly in light of communication failures. The initial layer uses the Total Harmonic Distortion (THD), the estimates of the amplitude voltages, and the zero-sequence grid voltage components, functioning as a fault sensor, to formulate an adaptive algorithm based on a Finite State Machine (FSM) for the detection and isolation of faults within the grid. This layer primarily relies on communication protocols for effective coordination. A Second-Order Generalized Integrator (SOGI) expedites the derivation of the estimated variables, ensuring fast detection with minimal computational overhead. The second layer uses the behavior of the positive- and negative-sequence components of the grid voltages during fault events to locate and isolate these faults. In the event that the first layer exposes a communication failure, the second layer will automatically be activated to ensure secure protection as it operates, using the local information of the Protective devices (PDs), without the need for communication channels to transmit trip signals between the PDs. The proposed protection system has been assessed using simulations with MATLAB/Simulink and providing experimental results considering an IEEE 9-bus standard radial system. The obtained results confirm the capability of the system for identifying and isolating different types of faults, varying conditions, and modifications to the grid configuration. The results show good behavior of the initial THD-based layer, with fast time responses ranging from 6 to 8.5 ms in all the examined scenarios. In contrast, the sequence-based layer exhibits a protection time response of approximately 150 ms, making it a viable backup option in the event of a communication failure.
- Published
- 2024
- Full Text
- View/download PDF
48. Robust SMC-PSS and AVR design: A grid connected solar concentrated OTEC system application.
- Author
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Abubakr H, Lashab A, Mohamed TH, Vasquez JC, Guerrero JM, and Dahab YA
- Subjects
- Animals, Cetacea, Computer Systems, Electricity, Excipients, Water, Aircraft, Algorithms
- Abstract
This work analyzes the stability and performance of an offshore solar-concentrated ocean thermal energy conversion system (SC-OTEC) tied to an onshore AC grid. The OTEC is a system where electricity is generated using small temperature differences between the warm surface and deep cold ocean water. Existing control methods for SC-OTEC systems lack coordination, hindering dynamic stability and effective damping for the synchronous generator (SG). These methods struggle to quickly adapt to sudden disturbances and lack the capability to adequately reject or compensate for such disturbances due to complex control constraints and computational demands. To this regard, a control strategy combining sliding mode control (SMC) and a power system stabilizer (PSS) to improve the SC-OTEC dynamic stability and damping features for the SG. Moreover, an auxiliary secondary automatic voltage regulator is assembled with a non-linear exciter system to provide damping features. The proposed PID-PSS and secondary AVR controller gains are adaptively tuned using a modified whale optimization algorithm with the balloon effect modulation. The studied SC-OTEC is tested through MATLAB/Simulink under a severe 3ϕ short-circuit fault, solar radiation variations, and a change in surface seawater temperature as well as changes in local loads. The final findings approved that the proposed control strategy preserves a strong performance and can mimic effectively the proposed SC-OTEC damping compared to the conventional system., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Abubakr et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
- Full Text
- View/download PDF
49. LDH/ADA ratio in pleural fluid for the diagnosis of infectious pleurisy.
- Author
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Núñez-Jurado D, Rodríguez-Martín I, Guerrero JM, and Santotoribio JD
- Subjects
- Humans, Adenosine Deaminase analysis, Retrospective Studies, Sensitivity and Specificity, Biomarkers analysis, Diagnosis, Differential, Pleural Effusion diagnosis, Pleural Effusion pathology, Pleurisy diagnosis, Tuberculosis diagnosis
- Abstract
Pleural effusion (PE) is a common medical concern, often requiring thoracentesis for a definitive diagnosis. An elevated pleural fluid adenosine deaminase (ADA) may indicate tuberculosis, but this is not always the case. This study aimed to evaluate the accuracy of biomarkers determined in pleural fluid and propose a new diagnostic strategy for PE in patients with high levels of ADA in pleural fluid. This retrospective analysis studied patients with PE who received thoracentesis for the first time with an ADA level of > 33 U/L in the pleural fluid analysis at two tertiary hospitals from March 2019 to March 2023. Demographic and clinical data, as well as pleural fluid biomarkers and their ratios, were studied and compared between different PE groups, and a decision tree was developed. During the study period, 259 patients were enrolled, with four different types of PE: parapneumonic (PPE) 155, tuberculosis (TPE) 41, malignant (MPE) 50, and miscellaneous 13. Biomarkers and their ratios performed well in the differential diagnosis of PE, with the LDH/ADA ratio distinguishing between PPE and non-PPE with sensitivity and specificity of 98.06% and 98.08%, respectively. The combination of LDH/ADA ratio, ADA, and mononuclear cell percentage was identified as important factors for creating a decision tree with an overall accuracy of 89.96%. The pleural fluid LDH/ADA ratio was a useful diagnostic for distinguishing PPE from non-PPE, and a decision tree with an accuracy of 89.96% was created to differentiate the four forms of PE in clinical situations., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)
- Published
- 2023
- Full Text
- View/download PDF
50. A visual questioning answering approach to enhance robot localization in indoor environments.
- Author
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Peña-Narvaez JD, Martín F, Guerrero JM, and Pérez-Rodríguez R
- Abstract
Navigating robots with precision in complex environments remains a significant challenge. In this article, we present an innovative approach to enhance robot localization in dynamic and intricate spaces like homes and offices. We leverage Visual Question Answering (VQA) techniques to integrate semantic insights into traditional mapping methods, formulating a novel position hypothesis generation to assist localization methods, while also addressing challenges related to mapping accuracy and localization reliability. Our methodology combines a probabilistic approach with the latest advances in Monte Carlo Localization methods and Visual Language models. The integration of our hypothesis generation mechanism results in more robust robot localization compared to existing approaches. Experimental validation demonstrates the effectiveness of our approach, surpassing state-of-the-art multi-hypothesis algorithms in both position estimation and particle quality. This highlights the potential for accurate self-localization, even in symmetric environments with large corridor spaces. Furthermore, our approach exhibits a high recovery rate from deliberate position alterations, showcasing its robustness. By merging visual sensing, semantic mapping, and advanced localization techniques, we open new horizons for robot navigation. Our work bridges the gap between visual perception, semantic understanding, and traditional mapping, enabling robots to interact with their environment through questions and enrich their map with valuable insights. The code for this project is available on GitHub https://github.com/juandpenan/topology_nav_ros2., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Peña-Narvaez, Martín, Guerrero and Pérez-Rodríguez.)
- Published
- 2023
- Full Text
- View/download PDF
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