78 results on '"Moran, R."'
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2. Transforming Trauma through an Arts Festival: A Psychosocial Case Study
- Author
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Bennett, J, Kenning, G, Gitau, L, Moran, R, Wobcke, M, Bennett, J, Kenning, G, Gitau, L, Moran, R, and Wobcke, M
- Abstract
Through a psychosocial lens, informed by relational psychoanalysis, this article discusses the design, delivery, and impact of The Big Anxiety’s 2022 festival in Warwick, Queensland—an arts-based program that engages with lived experiences of trauma, distress, and suicide, and in this case with the devastating impact of youth suicide, disproportionately affecting First Nations communities. It describes the festival’s methods of creative engagement, examining how these create conditions for the transformation of trauma and for experiences of growth.
- Published
- 2023
3. BJS commission on surgery and perioperative care post-COVID-19
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Abahuje, E, Abbas, A, Abd El Aziz Abd El Maksoud, M, Abdelhady, A, Abdelhamid, S, Abdelkarem Ahmed Faraj, H, Abdelqader, B, Abdelrahman, T, Abdou, H, Abdullah, A, Abedua Harrison, M, Abem Owusu, E, Aboalazayem, A, Aboulhosn, R, Abu Oda, S, Abubakar, A, Abutaka, A, Acevedo Fontalvo, D, Acuna, S, Adefemi, A, Adegbola, S, Adenuga, T, Adeyeye, A, Adil Hilmi, A, Adisa, A, Aditya, K, Adjeso, T, Aftab, R, Afzal, A, Aggarwal, V, Aggarwal, A, Aguilera, R, Aguilera-Arevalo, M, Aguirre Salamanca, E, Aguirre-Allende, I, Ahari, D, Ahmad, H, Ahmad Rauf, F, Ahmad Zartasht Khan, A, Ahmed, S, Ahmed Fieturi, N, Ahmed Mohamed, S, Ahmed-Bakhsh, Z, Ahsan Javed, M, Akano, L, Akbar, A, Akhbari, M, Akhmedov, P, Aksit, G, Akula, Y, Alagaratnam, A, Al Majid, S, Al Mukhtar, O, Al Omran, H, Alasali, N, Al-Azzawi, M, Al-Habsi, R, Al-Iraqi, H, Al-Naggar, H, Alameer, E, Albirnawi, H, Alderson, D, Aldulaijan, F, Alejandro Miranda Ojeda, R, Alhasan, A, Ali, S, Ali, A, Ali Khan, M, Alimova, Y, Aljanadi, F, Aljubure, R, Allopi, N, Almedbal, H, Almubarak, M, Alqaidoom, Z, Alselaim, N, Alshaar, M, Alshammari, R, Altaf, K, Altiner, S, Altunpak, B, Alvarez Lozada, L, Amal Nahal, E, Amer, A, Amin, K, Aminu, U, Amisi Numbi, N, Amjad, T, Amoah, R, An, Y, Anastasopoulos, N, Andres Urrutia, J, Angarita, F, Angarita, K, Angel Freiria Eiras, M, Antypas, A, Anwar, M, Anwar, H, Apampa, T, Apostolou, K, Aquina, C, Arachchige Adithi Himika Randeni, R, Archila Godinez, M, Arez, O, Arezzo, A, Armonis, P, Arshad, S, Arshad Salman, M, Arshid, A, Arteaga Asensio, P, Arthur, T, Arumuga Jothi, A, Aryo Damara, F, Asensio Gomez, L, Ashcroft, J, Ashraf, S, Asif, A, Atif, M, Attaullah Khan, M, Avellaneda, N, Awad, S, Awadh, M, Axiaq, A, Ayad Mohammed Shuwayyah, A, Ayalew, D, Aytac, E, Azam, F, Azevedo, J, Azhar, B, Aziz, J, Aziz, A, Azzam, A, Baba Ndajiwo, A, Baig, M, Baker, D, Bakko, F, Balachandran, R, Balachandran, G, Balagizi Mudekereza, J, Balai, E, Balci, B, Balduzzi, A, Balhareth, A, Bandyopadhyay, S, Banerjee, D, Bangalore Mahalinga, D, Bankhead-Kendall, B, Bankole, N, Banwell, V, Baris Bengur, F, Baris Ozmen, B, Barnard, M, Barnett, R, Barreras Espinoza, J, Barrios, A, Bass, G, Bass, M, Bausys, A, Bavikatte, A, Bayram, J, Belousov, M, Berardi, A, Beamish, A, Beattie, C, Belia, F, Bellato, V, Bellikatti, S, Benjamens, S, Benlice, C, Bennedsgaard, S, Bennett, S, Bentounsi, Z, Bergenfeldt, H, Bergenfelz, A, Besselink, M, Bhandoria, G, Bhangu, E, Bhatia, M, Bhatti, M, Bilgili, Z, Bislenghi, G, Bisset, C, Biswas, S, Blake, J, Blanco, R, Boccalatte, L, Boden, R, Bojanic, C, Boland, M, Boland, P, Bollen, E, Bonci, E, Boni, L, Booth, A, Booth, R, Borakati, A, Borunda Escudero, G, Bosco, S, Bostrom, P, Botelho De Alencar Ferreira Cruz, P, Bouchagier, K, Bouhuwaish, A, Boutros, M, Boyce, K, Boyle, C, Bradshaw, L, Brandl, A, Brar, A, Brat, G, Brenkman, H, Brennan, C, Brines, C, Brookmyre, A, Brosnan, C, Brouwers, L, Brown, A, Brown, L, Brown, C, Brown, J, Bs, V, Buksh, M, Bunani Emmanuel, M, Burbano, D, Burelli, A, Burke, A, Burke, J, Burlov, N, Burns, A, Burton, O, Butt, A, Buzra Ozkan, B, Cabrera Silva, L, Caicedo, E, Calderbank, T, Cambridge, W, Campelo, G, Can Tatar, O, Carbone, F, Carrano, F, Casallas, D, Casanova Portoles, D, Casciani, F, Cassimjee, I, Castaneda Ramirez, O, Catalan, V, Caviedes, J, Cayetano, L, Ceresoli, M, Chan, M, Chan, V, Chandrasinghe, P, Chapman, S, Chaturvedi, A, Chaudhry, D, Chaudry, H, Chen, H, Cheng, A, Chernykh, M, Cherrie, A, Cheruiyot, I, Cheung, J, Chia, C, Chica, J, Chinai, N, Chirwa, A, Chiwaligo, J, Choi, A, Choi, J, Chowdhury, M, Christopher, E, Christou, N, Chu, T, Chua, D, Chua, H, Chung, C, Cihat Yildirim, A, Cillo, M, Cioffi, S, Claireaux, H, Clermonts, S, Clifford, R, Climent, M, Clynch, A, Coelen, R, Colas-Ruiz, E, Collar, A, Collard, M, Conlon, K, Connelly, T, Connor, K, Cook, J, Correia De Sa, T, Cosgun Acar, N, Costa, T, Couch, D, Cowper, S, Creavin, B, Crook, B, Curell, A, D'Alessio, R, Dale, J, Damgaard Eriksen, J, Dario Martin Gonzalez, I, Darwish, A, Das, M, Das, R, Das, K, Dave, R, David, S, Davies, T, Davis, C, Davison, S, Davletshina, V, Dawidziuk, A, Dawson, A, De Andres Crespo, M, De Berker, H, De Dieu Ngo, P, Dekker, E, De La Caridad Espinosa Luis, R, De Lacy, B, Demartines, N, De Montserrat Medina Sifuentes, A, De Silva, S, Del Rio, C, Delaune, V, Dell, A, Demirbas, I, Demirli Atici, S, Deniz Tepe, M, Derebey, M, Desai, G, Desai, M, Devarakonda, S, Deveras, N, Di Franco, G, Di Martino, M, Di Marzo, F, Diaz, A, Diaz Del Gobbo, G, Diazcastrillon, C, Dick, L, Dickinson, K, Diego, E, Dimasi, I, Ding, A, Dingemans, S, Dixon, L, Dixon, B, Doherty, W, Dooreemeah, D, Donohue, C, Dornseifer, M, Dossa, F, Dossou, W, Drake, T, Drami, I, Drevin, G, Du Plessis, M, Dudi-Venkata, N, Dudley, R, Duffy, S, Duklas, D, Dumbrava, B, Duygu Avlar, F, Dworzynska, A, Ebrahim, W, Ebrahim, A, Efren Lozada Hernandez, E, Ehigie, N, El Boghdady, M, El Hasnaoui, C, El Sheikh, M, El-Hussuna, A, Eldurssi, O, Elfeki, H, Elhadi, M, Elhassan, M, Elhissi, A, Elliot, B, Elsenbroek, C, Elsolh, B, Elson, N, Eltyeb, H, Emerson, H, Emile, S, Endalle, G, English, W, Ercisli, C, Espinosa, G, Essam Abdelraheem, M, Essangri, H, Etienne, P, Evans, M, Evans, T, Ezeme, C, Ezzahraa, F, Fadalla, T, Fagan, J, Fahmy, M, Fairfield, C, Falade, O, Famularo, S, Faqar-Uz-Zaman, F, Farid, Y, Farooq, A, Farooq, H, Farooqui, F, Farquharson, B, Faruqi, A, Faulder, R, Faut, M, Fechner, K, Feenstra, T, Fehervari, M, Fernandez, L, Fernandez Alberti, J, Ferrario, L, Field, D, Fiore, L, Fingerhut, S, Finlayson, S, Fleming, N, Fleming, C, Florial, E, Fok, M, Fokin, D, Foley, M, Forero, M, Forgan, T, Fornasiero, M, Fowler, H, Fowler, G, Franchi, E, Franklin, L, Fredriksson, A, Fruhling, P, Fuentes Navarrette, G, Fulop, A, Furtado, M, Gaarder, T, Galbraith, N, Gallagher, I, Gallo, G, Gana, T, Gaskin, E, Gasparini, M, Gatan, R, Geary, E, Gelaye Wudineh, K, Gemenetzis, G, Georgi, M, Ghalige, H, Ghareeb, W, Ghatwary Tantawy, T, Ghomsi, C, Ghuman, A, Giannakis, P, Giron, F, Gjengedal, K, Gkotsis, E, Glasbey, J, Godahewa, S, Godula, D, Goffredo, P, Goh, S, Golriz, M, Gomez, L, Gomez Gomez, D, Gonzalez, R, Gonzalez, D, Gonzalez Gutierrez, E, Gopar, D, Gordini, L, Gori, A, Gortazar, S, Gousy, N, Gowda, R, Gowda, M, Gqada, J, Grechenig, M, Greer, J, Gregorio, L, Grigorova, A, Grimes, H, Groot, V, Grossman, R, Gruber, R, Gruter, A, Guest, R, Gujjuri, R, Gulcek, E, Gulcu, B, Gull, K, Gulmez, M, Gupta, V, Gutlic, A, Guven, T, Gwatirisa, T, Gwini, G, Gwodog, P, Gysling, S, Habib, M, Hafeez Bhatti, A, Hallesmith, J, Halloran, S, Hamza Sadiq, M, Haney, C, Hanna, N, Hanna, L, Hannington, M, Harbjerg, J, Haribaskaran, D, Harran, N, Harrington, B, Harrison, E, Hasan, R, Hashmi, S, Hassan, M, Hassan, A, Haverkamp, L, Hazen, S, Heer, B, Heil, J, Helliwell, J, Henriksen, N, Henshall, D, Hermanson, M, Hermena, S, Hettiarachchi, D, Hextall, C, Hidalgo, M, Hidayat, H, Hider, A, Higgins, P, Hinchliffe, R, Hirani, D, Hirpara, D, Hisham, I, Hite, M, Hoh, S, Holmberg, C, Holmich, E, Holst, F, Hossam, A, Hossam Elfallal, A, Howard, P, Huaman, E, Huang, Y, Huang, L, Huang, D, Huber, T, Hugh, J, Hughes, J, Huttner, F, Huynh, R, Hylands, A, Iannuzzi, J, Ielpo, B, Iftikhar Talib, A, Ignacio, J, Ignatavicius, P, Ike, S, Ikwu, C, Inama, M, Ing, A, Ingels, A, Isik, A, Islam, N, Ives, I, Al-Hasan, A, Perez Rivera, C, Jacome, F, Jaffer, T, Jagiella-Lodise, O, Jain, M, Jain, K, Jakubauskas, M, Jalal, M, James, H, Jang, Y, Janssen, B, Jansson, H, Jariod-Ferrer, U, Javanmard, H, Javed, S, Jayarajah, U, Jayasuriya, I, Je, J, Jessop, Z, Jia Lin Tang, E, Jiang, H, Jiayan, Y, Jih Huei, T, Jimenez-Rodriguez, R, Joh, D, Johnson, A, Jones, N, Jones, C, Jordan, C, Jose Nunez Ju, J, Jose Pizarro, M, Jose Salazar, C, Joseph, J, Justiniano, C, Kabir, T, Kadhum, M, Kalfountzos, C, Kalogiannaki, E, Kalyanasundaram, K, Kamarajah, S, Kamil Quraishi, M, Kanemitsu, Y, Kapila, A, Kapila, V, Karagiannidis, G, Kashif, M, Kathiravelupillai, S, Kathiravelupillai, A, Katsogridakis, E, Kaur, K, Kaur Sekhon Inderjit Singh, H, Kausur, N, Kawka, M, Keehan, G, Kehlet Watt, S, Kelly, M, Kelvin Egbuchulem, I, Kembuan, G, Khajeh, E, Khaled Elfaitur, A, Khan, M, Khan, S, Khan, D, Khan, H, Khatkar, H, Khatkov, E, Khaw, R, Kim, B, Kishore Siddiraju, K, Kitua, D, Kirimtay, B, Kmezic, S, Knight, S, Koeter, T, Koh, A, Koh Hong Xiang, F, Kojo Anyomih, T, Kok, A, Kokelaar, R, Koliarakis, I, Kolli, S, Kong, J, Konig, D, Koshy, M, Kotze, P, Kourdouli, A, Kowal, M, Kraima, A, Kramer, F, Kryzauskas, M, Kuchynskyi, I, Kuemmerli, C, Kuiper, S, Kumar, S, Kumar, A, Kumar, L, Kumar, H, Kumar, N, Kumar Bandyopadhyay, S, Kumar Garg, P, Kumar Venkatappa, S, Kung, J, Kural, S, Kushairi, A, Kuuzie, E, Kvietkauskas, M, Kwek, I, La, J, Lai, L, Lakpriya, S, Lam, K, Lami, M, Lansdorp-Vogelaar, I, Lapolla, P, Larsen, H, Latif, J, Laudari, U, Laurnezi, A, Lawal, A, Lawday, S, Lederhuber, H, Lednev, A, Lee, R, Van Leerdam, M, Lefevbre, G, Lesmus, M, Leyva Moraga, F, Leyva Moraga, E, Li, H, Li, A, Li, Z, Licardie, E, Light, A, Lightner, A, Lin, A, Lincango, E, Litta, F, Liu, H, Lofthouse, B, Londono, M, Lopes, R, Lopes De Freitas, R, Lopez, L, Lopez, A, Lopez-Gomez, J, Lopez-Pena, G, Lowe, R, Lowe, D, Lowey, M, Loy, G, Lozanovski, V, Luzon, J, Lynn, P, Maccabe, T, Machielsen, A, Mafla Herreria, C, Maggino, L, Mahawar, K, Mahmood, D, Mahmoud, M, Mahtani, K, Maitra, I, Maji, S, Majiet, I, Mal, L, Malherbe, J, Malhotra, K, Malkomes, P, Man, E, Manan Sheikh, A, Manjunath, S, Manzano Nunez, R, Manzoor, S, Maqsood, R, Marchegiani, G, Marchegiani, F, Marin, D, Marin, A, Marks, I, Marson, E, Martensen, A, Martin, D, Martin Martin, G, Martin-Perez, B, Martinez, P, Marwaha, P, Mashauri, C, Mashbari, H, Masior, L, Masri, R, Masud, L, Masudi, S, Mateu Calabuig, G, Math, S, Matrachisia, A, Mayol, J, Mazingi, D, Mazzotta, A, Mcalinden, J, Mccabe, G, Mccolm, L, Mcelvaney, H, Mcgivern, K, Mcgovern, J, Mcguinness, E, Mcinerney, N, Mckay, S, Mckee, C, Mckenna, M, Mckenna, N, Mclean, K, Mediratta, S, Medkova, Y, Medzhidov, O, Mehraj, A, Mekhael, M, Mekinde, O, Mellenthin, C, Melucci, A, Mentor, K, Merchant, J, Messias, H, Messeha, M, Meza, C, Mhango, P, Miladinov, M, Milagros Niquen Jimenez, M, Miller, P, Mills, E, Milton, A, Minayeva, O, MinHua Zheng, Z, Mischlinger, H, Mockli, B, Modi, R, Mohamed, H, Mohamed, M, Mohamed Abulghasm, T, Mohammad, S, Mohammed, T, Mohammed, A, Mohan, H, Mohan, M, Moin, I, Mok, V, Molina, G, Moloney, J, Moneim, J, Monfort Mira, M, Montcusi Ventura, B, Montouri, M, Moossdorff, M, Mora-Guzman, I, Moran, B, Moran, R, Moreno-Ordaz, S, Morera, A, Morgan, R, Morley, R, Moro-Valdezate, D, Moros, S, Moss, J, Morven, A, Morton, D, Moynihan, A, Moyon, M, Muduli, N, Mugla, N, Mugla, W, Muller, P, Mun, G, Mundhada, R, Munir, I, Munoz, F, Munoz, E, Munoz, A, Munoz Balderas, D, Murgitroyd, E, Murray, V, Murthy, S, Mushiwokufa, W, Mustafa, H, Mustakimov, B, Mutambanengwe, P, Myint, P, Nadkarni, S, Naess, P, Nahar, S, Naidoo, P, Nam, R, Nandhra, S, Nanjappa, N, Narasimhan, V, Nardi, W, Nasir, M, Naughton, A, Naumann, D, Navarro, S, Nawaaz Karimbocus, M, Nazir, A, Ndereya, S, Ndong, A, Negoi, I, Nel, D, Nelson, D, Nepal, S, Nugent, T, Nepogodiev, D, Neufeld, J, Ng, J, Ng, D, Ng, C, Ngaserin, S, Ngu, L, Ngwenya, E, Fhearaigh, R, Nikolousakis, T, Ninkovic, M, Nita, G, Nitschke, C, Noren, E, Noton, T, Novikova, A, Nowinka, Z, Nyakunengwa, T, Nyalundja, A, Nzenwa, I, Kristensen, H, O'Brien, C, O'Brien, L, O'Brien, S, O'Reilly, J, O'Rourke, S, O'Sullivan, M, O'Dwyer, M, Ochieng, L, Oderoha, E, Oh, K, Ohlberger, L, Olcum, M, Olkina, A, Omkumar, M, Omnitel, B, Oncel Yakar, D, Ong, K, Ong Wei Lin, L, Ooi, R, Ooi, S, Oomman, A, Oon Tyjet, D, Opiyo, S, Oscullo Yepez, J, Osei-Kuffour, N, Osunronbi, T, Ottlakan, A, Oussama Kacimi, S, Ovaere, S, Ozair, A, Pachler, F, Pai Oo, S, Paiella, S, Panaiotti, L, Panda, N, Pandarinath, S, Pandey, D, Pandrowala, S, Papa Mamadou, F, Paranathala, M, Park, J, Parmar, C, Parvez, A, Pasovic, L, Pasquer, A, 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A, Riad, A, Rice, D, Rios Quintana, K, Ritter, A, Roalso, M, Robinson, D, Rodriguez, J, Rodriguez, F, Rodriguez, M, Rogers, A, Rohila, J, Romanyuc, D, Romic, I, Rommaneh, M, Rompianesi, G, Rosa, F, Roscio, F, Rose, A, Rotimi, T, Ruiz, H, Ruiz Yucuma, J, Ruiz-Ucar, E, Ruslan, M, Rutegard, M, Ryan Harper, E, Ryckx, A, Rydbeck, D, Sa-Marta, E, Sadien, I, Safari Nteranya, D, Sagoo, K, Sakata, S, Saladino, E, Saleem, A, Saleem, S, Salehi, M, Salih, S, Sallinen, V, Salvans, S, Sam, Z, Samadov, E, Sampaio Alves, M, Sanad, A, Sanchez Fonseca, S, Sanchez Teran, A, Sanchez Ussa, S, Sandli, O, Sanfey, H, Sanghera, J, Sani, I, Santafe Guerrero, M, Sante Fornasiero, M, Santes Jasso, O, Santos Pereira, I, Santos Sousa, H, Saratzis, A, Sarmiento Alarcon, A, Saumtally, T, Sayyed, R, Schettino, M, Schleimer, L, Schmidt, T, Schondffelt, K, Schwab, M, Scott, A, Searle, H, Sebopelo, L, Seeglier, B, Seishima, R, Semenvov, D, Senent-Boza, A, Sepulveda, J, Serenari, M, Serrano Navidad, M, Sert, I, Sewart, E, 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Wanigasooriya, K, Wanjara, S, Wanjiku, N, Warner, C, Wei Leow, T, Weiser, T, Weisters, M, Wellington, M, Wells, C, Wenzelberg, C, Wettstein, D, Wezel, A, Wheldon, L, Widmer, L, Wilson, M, Wigmore, S, Wijayaratne, T, Wijeyaratne, M, Wijnhoven, B, Wilkin, R, Williams, E, Willis, F, Winter, D, Wirsik, M, Wishah, B, Wong, G, Wong, W, Wong, K, Worku, D, Wright, E, Wright, J, Wroe Wright, O, Xenacki, S, Xia, W, Xu, W, Xu, Z, Yalcinkaya, A, Yang, W, Yang, P, Yanishev, A, Yanzon De La Torre, A, Yao, H, Yaqoob, E, Yen Ling Quake, S, Yeo, D, Yeom, B, Yershov, D, Yiasemidou, M, Yildiz, A, Yiu, A, Yoav, M, Yong, E, Yoshimura, R, Younis, M, Younis Ringshawl, Z, Youssef, M, Yue, Y, Yuen, S, Yuldashev, R, Yurttas, C, Yves, B, Zaborowski, A, Zackeri, R, Zafar, A, Zahra, W, Zaidi, A, Zainudin, S, Zakeri, R, Zamora, I, Zamora, A, Zawistowski, M, Zbikowska, G, Zegers, W, Zehra, S, Zeyra, A, Zhagniyev, Z, Zhukova, L, Zivanovic, M, Zmuc, J, Zope, M, Zubayraeva, A, Zucker, B, Abahuje E., Abbas A., Abd El Aziz Abd El Maksoud M., Abdelhady A., Abdelhamid S., Abdelkarem Ahmed Faraj H., Abdelqader B., Abdelrahman T., Abdou H., Abdullah A., Abedua Harrison M., Abem Owusu E., Aboalazayem A., Aboulhosn R., Abu Oda S., Abubakar A., Abutaka A., Acevedo Fontalvo D., Acuna S., Adefemi A., Adegbola S., Adenuga T., Adeyeye A., Adil Hilmi A., Adisa A., Aditya K., Adjeso T., Aftab R., Afzal A., Aggarwal V., Aggarwal A., Aguilera R., Aguilera-Arevalo M. -L., Aguirre Salamanca E. J., Aguirre-Allende I., Ahari D., Ahmad H., Ahmad Rauf F., Ahmad Zartasht Khan A., Ahmed S., Ahmed Fieturi N., Ahmed Mohamed S., Ahmed-Bakhsh Z., Ahsan Javed M., Akano L., Akbar A., Akhbari M., Akhmedov P., Aksit G., Akula Y., Alagaratnam A. S., Al Majid S., Al Mukhtar O., Al Omran H., AlAsali N., Al-Azzawi M., Al-Habsi R., Al-Iraqi H., Al-Naggar H., Alameer E., Albirnawi H., Alderson D., Aldulaijan F., Alejandro Miranda Ojeda R., AlHasan A., Ali S., Ali A., Ali Khan M., Alimova Y., Aljanadi F., Aljubure R., Allopi N., Almedbal H., Almubarak M., Alqaidoom Z., Alselaim N., Alshaar M., Alshammari R., Altaf K., Altiner S., Altunpak B., Alvarez Lozada L. A., Amal Nahal E., Amer A., Amin K., Aminu U., Amisi Numbi N., Amjad T., Amoah R., An Y., Anastasopoulos N. -A., Andres Urrutia J., Angarita F., Angarita K. -L., Angel Freiria Eiras M., Antypas A., Anwar M. A., Anwar H., Apampa T. O., Apostolou K., Aquina C., Arachchige Adithi Himika Randeni R., Archila Godinez M. I., Arez O., Arezzo A. A., Armonis P., Arshad S., Arshad Salman M., Arshid A., Arteaga Asensio P. C., Arthur T., Arumuga Jothi A., Aryo Damara F., Asensio Gomez L., Ashcroft J., Ashraf S., Asif A., Atif M., Attaullah Khan M., Avellaneda N., Awad S., Awadh M., Axiaq A., Ayad Mohammed Shuwayyah A., Ayalew D., Aytac E., Azam F., Azevedo J., Azhar B., Aziz J., Aziz A., Azzam A., Baba Ndajiwo A., Baig M., Baker D., Bakko F., Balachandran R., Balachandran G., Balagizi Mudekereza J., Balai E., Balci B., Balduzzi A., Balhareth A., Bandyopadhyay S., Banerjee D., Bangalore Mahalinga D., Bankhead-Kendall B., Bankole N. D. A., Banwell V., Baris Bengur F., Baris Ozmen B., Barnard M., Barnett R., Barreras Espinoza J. A., Barrios A., Bass G., Bass M., Bausys A., Bavikatte A., Bayram J., Belousov M., Berardi A. G., Beamish A., Beattie C., Belia F., Bellato V., Bellikatti S., Benjamens S., Benlice C., Bennedsgaard S., Bennett S., Bentounsi Z., Bergenfeldt H., Bergenfelz A., Besselink M., Bhandoria G., Bhangu E., Bhatia M., Bhatti M. T., Bilgili Z., Bislenghi G., Bisset C., Biswas S., Blake J., Blanco R., Boccalatte L., Boden R., Bojanic C., Boland M., Boland P., Bollen E., Bonci E. -A., Boni L., Booth A., Booth R., Borakati A., Borunda Escudero G. E., Bosco S. J., Bostrom P., Botelho De Alencar Ferreira Cruz P., Bouchagier K., Bouhuwaish A., Boutros M., Boyce K., Boyle C., Bradshaw L., Brandl A., Brar A., Brat G., Brenkman H., Brennan C., Brines C., Brookmyre A., Brosnan C., Brouwers L., Brown A., Brown L., Brown C., Brown J., Bs V., Buksh M., Bunani Emmanuel M., Burbano D., Burelli A., Burke A., Burke J., Burlov N., Burns A., Burton O., Butt A., Buzra Ozkan B., Cabrera Silva L., Caicedo E. Y., Calderbank T., Cambridge W., Campelo G., Can Tatar O., Carbone F., Carrano F., Casallas D., Casanova Portoles D., Casciani F., Cassimjee I., Castaneda Ramirez O. A., Catalan V., Caviedes J., Cayetano L., Ceresoli M., Chan M., Chan V., Chandrasinghe P., Chapman S., Chaturvedi A., Chaudhry D., Chaudry H., Chen H. W., Cheng A., Chernykh M., Cherrie A. M., Cheruiyot I., Cheung J., Chia C., Chica J., Chinai N., Chirwa A., Chiwaligo J., Choi A., Choi J., Chowdhury M. R., Christopher E., Christou N., Chu T., Chua D., Chua H. W., Chung C., Cihat Yildirim A., Cillo M., Cioffi S., Claireaux H., Clermonts S., Clifford R., Climent M., Clynch A., Coelen R. -J., Colas-Ruiz E., Collar A., Collard M., Conlon K. C., Connelly T., Connor K., Cook J. A., Correia De Sa T., Cosgun Acar N., Costa T., Couch D., Cowper S., Creavin B., Crook B., Curell A., D'Alessio R., Dale J., Damgaard Eriksen J., Dario Martin Gonzalez I., Darwish A., Das M., Das R., Das K., Dave R., David S. O., Davies T., Davis C., Davison S., Davletshina V., Dawidziuk A., Dawson A., De Andres Crespo M., De Berker H., De Dieu Ngo P., Dekker E., De La Caridad Espinosa Luis R., De Lacy B., Demartines N., De Montserrat Medina Sifuentes A., De Silva S., Del Rio C., Delaune V., Dell A., Demirbas I., Demirli Atici S., Deniz Tepe M., Derebey M., Desai G., Desai M., Devarakonda S., Deveras N., Di Franco G., Di Martino M., Di Marzo F., Diaz A., Diaz Del Gobbo G., DiazCastrillon C., Dick L., Dickinson K., Diego E., Dimasi I., Ding A., Dingemans S., Dixon L., Dixon B., Doherty W., Dooreemeah D., Donohue C., Dornseifer M., Dossa F., Dossou W., Drake T., Drami I., Drevin G., Du Plessis M. C., Dudi-Venkata N., Dudley R., Duffy S., Duklas D., Dumbrava B. -D., Duygu Avlar F., Dworzynska A., Ebrahim W., Ebrahim A., Efren Lozada Hernandez E., Ehigie N., El Boghdady M., El Hasnaoui C., El Sheikh M., El-Hussuna A., Eldurssi O., Elfeki H., Elhadi M., Elhassan M., Elhissi A., Elliot B., Elsenbroek C., Elsolh B., Elson N., Eltyeb H., Emerson H., Emile S. H., Endalle G., English W., Ercisli C., Espinosa G., Essam Abdelraheem M., Essangri H., Etienne P., Evans M. D., Evans T., Ezeme C., Ezzahraa F., Fadalla T., Fagan J., Fahmy M., Fairfield C., Falade O., Famularo S., Faqar-Uz-Zaman F., Farid Y., Farooq A., Farooq H., Farooqui F., Farquharson B., Faruqi A., Faulder R., Faut M., Fechner K., Feenstra T., Fehervari M., Fernandez L., Fernandez Alberti J., Ferrario L., Field D., Fiore L., Fingerhut S., Finlayson S., Fleming N., Fleming C., Florial E., Fok M., Fokin D., Foley M., Forero M. P., Forgan T., Fornasiero M., Fowler H., Fowler G., Franchi E., Franklin L., Fredriksson A., Fruhling P., Fuentes Navarrette G., Fulop A., Furtado M., Gaarder T., Galbraith N., Gallagher I. T. K., Gallo G., Gana T., Gaskin E., Gasparini M., Gatan R. G., Geary E., Gelaye Wudineh K., Gemenetzis G., Georgi M., Ghalige H., Ghareeb W., Ghatwary Tantawy T., Ghomsi C., Ghuman A., Giannakis P., Giron F., Gjengedal K., Gkotsis E., Glasbey J., Godahewa S., Godula D., Goffredo P., Goh S., Golriz M., Gomez L., Gomez Gomez D., Gonzalez R., Gonzalez D., Gonzalez Gutierrez E., Gopar D., Gordini L., Gori A., Gortazar S., Gousy N., Gowda R., Gowda M., Gqada J., Grechenig M., Greer J., Gregorio L., Grigorova A., Grimes H., Groot V., Grossman R. C., Gruber R., Gruter A., Guest R., Gujjuri R., Gulcek E., Gulcu B., Gull K., Gulmez M., Gupta V., Gutlic A., Guven T., Gwatirisa T., Gwini G., Gwodog P., Gysling S., Habib M., Hafeez Bhatti A. B., Hallesmith J., Halloran S., Hamza Sadiq M., Haney C., Hanna N., Hanna L., Hannington M., Harbjerg J., Haribaskaran D., Harran N., Harrington B., Harrison E., Hasan R., Hashmi S., Hassan M., Hassan A., Haverkamp L., Hazen S., Heer B., Heil J., Helliwell J., Henriksen N., Henshall D., Hermanson M., Hermena S., Hettiarachchi D., Hextall C., Hidalgo M., Hidayat H., Hider A., Higgins P., Hinchliffe R., Hirani D., Hirpara D., Hisham I., Hite M., Hoh S. M., Holmberg C., Holmich E., Holst F., Hossam A., Hossam Elfallal A., Howard P., Huaman E., Huang Y., Huang L., Huang D., Huber T., Hugh J., Hughes J., Huttner F., Huynh R., Hylands A., Iannuzzi J., Ielpo B., Iftikhar Talib A., Ignacio J., Ignatavicius P., Ike S., Ikwu C., Inama M., Ing A., Ingels A., Isik A., Islam N., Ives I. J., Al-Hasan A. J. M. S., Perez Rivera C. J., Jacome F., Jaffer T., Jagiella-Lodise O., Jain M., Jain K., Jakubauskas M., Jalal M., James H., Jang Y., Janssen B., Jansson H., Jariod-Ferrer U., Javanmard H., Javed S., Jayarajah U., Jayasuriya I., Je J., Jessop Z., Jia Lin Tang E., Jiang H., Jiayan Y., Jih Huei T., Jimenez-Rodriguez R., Joh D., Johnson A., Jones N., Jones C., Jordan C., Jose Nunez Ju J., Jose Pizarro M., Jose Salazar C., Joseph J., Justiniano C., Kabir T., Kadhum M., Kalfountzos C., Kalogiannaki E., Kalyanasundaram K., Kamarajah S., Kamil Quraishi M., Kanemitsu Y., Kapila A., Kapila V., Karagiannidis G., Kashif M., Kathiravelupillai S., Kathiravelupillai A., Katsogridakis E., Kaur K., Kaur Sekhon Inderjit Singh H., Kausur N., Kawka M., Keehan G., Kehlet Watt S., Kelly M., Kelly M. E., Kelvin Egbuchulem I., Kembuan G., Khajeh E., Khaled Elfaitur A., Khan M. F., Khan S., Khan M., Khan D., Khan H., Khatkar H., Khatkov E., Khaw R., Kim B., Kishore Siddiraju K., Kitua D., Kirimtay B., Kmezic S., Knight S., Koeter T., Koh A., Koh Hong Xiang F., Kojo Anyomih T., Kok A. I. N., Kokelaar R., Koliarakis I., Kolli S., Kong J., Konig D., Koshy M., Kotze P., Kourdouli A., Kowal M., Kraima A., Kramer F., Kryzauskas M., Kuchynskyi I., Kuemmerli C., Kuiper S., Kumar S., Kumar A., Kumar L., Kumar H., Kumar N., Kumar Bandyopadhyay S., Kumar Garg P., Kumar Venkatappa S., Kung J., Kural S., Kushairi A., Kuuzie E., Kvietkauskas M., Kwek I., La J., Lai L., Lakpriya S., Lam K., Lami M., Lansdorp-Vogelaar I., Lapolla P., Larsen H., Latif J., Laudari U., Laurnezi A., Lawal A., Lawday S., Lederhuber H., Lednev A., Lee R., Van Leerdam M. E., Lefevbre G., Lesmus M., Leyva Moraga F. A., Leyva Moraga E., Leyva Moraga F., Li H. L., Li A., Li Z., Licardie E., Light A., Lightner A. L., Lin A., Lincango E., Litta F., Liu H., Lofthouse B., Londono M. A., Lopes R., Lopes De Freitas R., Lopez L., Lopez A. I., Lopez-Gomez J., Lopez-Pena G., Lowe R., Lowe D., Lowey M., Loy G., Lozanovski V., Luzon J., Lynn P., MacCabe T., MacHielsen A., Mafla Herreria C. A., Maggino L., Mahawar K., Mahmood D., Mahmoud M., Mahtani K., Maitra I., Maji S., Majiet I., Mal L., Malherbe J., Malhotra K., Malkomes P., Man E., Manan Sheikh A., Manjunath S., Manzano Nunez R., Manzoor S., Maqsood R., Marchegiani G., Marchegiani F., Marin D., Marin A., Marks I., Marson E., Martensen A., Martin D., Martin Martin G., Martin-Perez B., Martinez P., Marwaha P., Mashauri C., Mashbari H., Masior L., Masri R., Masud L., Masudi S., Mateu Calabuig G., Math S., Matrachisia A., Mayol J., Mazingi D., Mazzotta A., McAlinden J., McCabe G., McColm L., McElvaney H., McGivern K., McGovern J., McGuinness E., McInerney N., McKay S., McKee C., McKenna M., McKenna N., McLean K., Mediratta S., Medkova Y., Medzhidov O., Mehraj A., Mekhael M., Mekinde O., Mellenthin C., Melucci A., Mentor K., Merchant J., Messias H., Messeha M., Meza C., Mhango P., Miladinov M., Milagros Niquen Jimenez M., Miller P., Mills E., Milton A., Minayeva O. A., MinHua Zheng Z., Mischlinger H., Mockli B., Modi R., Mohamed H. M., Mohamed M., Mohamed Abulghasm T., Mohammad S. A., Mohammed T. O., Mohammed A., Mohan H., Mohan M., Moin I., Mok V., Molina G., Moloney J., Moneim J., Monfort Mira M., Montcusi Ventura B., Montouri M., Moossdorff M., Mora-Guzman I., Moran B., Moran R. A. R., Moreno-Ordaz S., Morera A., Morgan R., Morley R., Moro-Valdezate D., Moros S., Moss J. -L., Morven A., Morton D., Moynihan A., Moyon M., Muduli N., Mugla N., Mugla W., Muller P., Mun G., Mundhada R., Munir I., Munoz F., Munoz E., Munoz A., Munoz Balderas D. C., Murgitroyd E., Murray V., Murthy S., Mushiwokufa W., Mustafa H., Mustakimov B., Mutambanengwe P., Myint P., Nadkarni S., Naess P. A., Nahar S., Naidoo P., Nam R., Nandhra S., Nanjappa N., Narasimhan V., Nardi W., Nasir M., Naughton A., Naumann D., Navarro S., Nawaaz Karimbocus M., Nazir A., Ndereya S., Ndong A., Negoi I., Nel D., Nelson D., Nepal S., Nugent T., Nepogodiev D., Neufeld J., Ng J., Ng D., Ng C. E., Ngaserin S., Ngu L., Ngwenya E., Fhearaigh R. N., Nikolousakis T. -K., Ninkovic M., Nita G., Nitschke C., Noren E., Noton T., Novikova A., Nowinka Z., Nyakunengwa T., Nyalundja A., Nzenwa I., Kristensen H. O., O'Brien C., O'Brien L., O'Brien S., O'Reilly J., O'Rourke S., O'Sullivan M., O'Dwyer M., Ochieng L., Oderoha E., Oh K. E., Ohlberger L., Olcum M., Olkina A., Omkumar M., Omnitel B., Oncel Yakar D., Ong K., Ong Wei Lin L., Ooi R., Ooi S., Oomman A., Oon Tyjet D., Opiyo S., Oscullo Yepez J. J., Osei-Kuffour N., Osunronbi T., Ottlakan A., Oussama Kacimi S., Ovaere S., Ozair A., Pachler F., Pai Oo S., Paiella S., Panaiotti L., Panda N., Pandarinath S., Pandey D., Pandrowala S., Papa Mamadou F., Paranathala M., Park J., Parmar C., Parvez A., Pasovic L., Pasquer A., Pasumarthy N., Pata F., Patel T., Patel P., Patel N., Patel M., Patron Uriburu N., Patrone R., Paul A., Pavan Kumar O. M., Pavithran A., Pedraza Ciro M., Pellino G., Peloso A., Pena Gallardo M. T., Pena Velazquez A., Perea J., Perez-Sanchez L. E., Perra T., Perrotta G., Petersson P., Petra G., Petrucciani N., Pickin C., Pino V., Pinotti E., Pinto F., Plum P., Podesta F., Pollini T., Pompeu Sa M., Ponce Leon F., Ponniah H. S., Ponte De Sousa X., Ponton J., Pontula A., Popa M., Portilla A. L., Posner F., Post S., Potolicchio A., Pouwels S., Povo A., Prasad P., Preciado S., Preece R., Proud D., Pulido Segura J. A., Puliyath N., Qui M., Quimbaya Rodriguez A. 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G., Beamish A., Beattie C., Belia F., Bellato V., Bellikatti S., Benjamens S., Benlice C., Bennedsgaard S., Bennett S., Bentounsi Z., Bergenfeldt H., Bergenfelz A., Besselink M., Bhandoria G., Bhangu E., Bhatia M., Bhatti M. T., Bilgili Z., Bislenghi G., Bisset C., Biswas S., Blake J., Blanco R., Boccalatte L., Boden R., Bojanic C., Boland M., Boland P., Bollen E., Bonci E. -A., Boni L., Booth A., Booth R., Borakati A., Borunda Escudero G. E., Bosco S. J., Bostrom P., Botelho De Alencar Ferreira Cruz P., Bouchagier K., Bouhuwaish A., Boutros M., Boyce K., Boyle C., Bradshaw L., Brandl A., Brar A., Brat G., Brenkman H., Brennan C., Brines C., Brookmyre A., Brosnan C., Brouwers L., Brown A., Brown L., Brown C., Brown J., Bs V., Buksh M., Bunani Emmanuel M., Burbano D., Burelli A., Burke A., Burke J., Burlov N., Burns A., Burton O., Butt A., Buzra Ozkan B., Cabrera Silva L., Caicedo E. 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P., Forgan T., Fornasiero M., Fowler H., Fowler G., Franchi E., Franklin L., Fredriksson A., Fruhling P., Fuentes Navarrette G., Fulop A., Furtado M., Gaarder T., Galbraith N., Gallagher I. T. K., Gallo G., Gana T., Gaskin E., Gasparini M., Gatan R. G., Geary E., Gelaye Wudineh K., Gemenetzis G., Georgi M., Ghalige H., Ghareeb W., Ghatwary Tantawy T., Ghomsi C., Ghuman A., Giannakis P., Giron F., Gjengedal K., Gkotsis E., Glasbey J., Godahewa S., Godula D., Goffredo P., Goh S., Golriz M., Gomez L., Gomez Gomez D., Gonzalez R., Gonzalez D., Gonzalez Gutierrez E., Gopar D., Gordini L., Gori A., Gortazar S., Gousy N., Gowda R., Gowda M., Gqada J., Grechenig M., Greer J., Gregorio L., Grigorova A., Grimes H., Groot V., Grossman R. C., Gruber R., Gruter A., Guest R., Gujjuri R., Gulcek E., Gulcu B., Gull K., Gulmez M., Gupta V., Gutlic A., Guven T., Gwatirisa T., Gwini G., Gwodog P., Gysling S., Habib M., Hafeez Bhatti A. B., Hallesmith J., Halloran S., Hamza Sadiq M., Haney C., Hanna N., Hanna L., Hannington M., Harbjerg J., Haribaskaran D., Harran N., Harrington B., Harrison E., Hasan R., Hashmi S., Hassan M., Hassan A., Haverkamp L., Hazen S., Heer B., Heil J., Helliwell J., Henriksen N., Henshall D., Hermanson M., Hermena S., Hettiarachchi D., Hextall C., Hidalgo M., Hidayat H., Hider A., Higgins P., Hinchliffe R., Hirani D., Hirpara D., Hisham I., Hite M., Hoh S. M., Holmberg C., Holmich E., Holst F., Hossam A., Hossam Elfallal A., Howard P., Huaman E., Huang Y., Huang L., Huang D., Huber T., Hugh J., Hughes J., Huttner F., Huynh R., Hylands A., Iannuzzi J., Ielpo B., Iftikhar Talib A., Ignacio J., Ignatavicius P., Ike S., Ikwu C., Inama M., Ing A., Ingels A., Isik A., Islam N., Ives I. J., Al-Hasan A. J. M. S., Perez Rivera C. 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F., Khan S., Khan M., Khan D., Khan H., Khatkar H., Khatkov E., Khaw R., Kim B., Kishore Siddiraju K., Kitua D., Kirimtay B., Kmezic S., Knight S., Koeter T., Koh A., Koh Hong Xiang F., Kojo Anyomih T., Kok A. I. N., Kokelaar R., Koliarakis I., Kolli S., Kong J., Konig D., Koshy M., Kotze P., Kourdouli A., Kowal M., Kraima A., Kramer F., Kryzauskas M., Kuchynskyi I., Kuemmerli C., Kuiper S., Kumar S., Kumar A., Kumar L., Kumar H., Kumar N., Kumar Bandyopadhyay S., Kumar Garg P., Kumar Venkatappa S., Kung J., Kural S., Kushairi A., Kuuzie E., Kvietkauskas M., Kwek I., La J., Lai L., Lakpriya S., Lam K., Lami M., Lansdorp-Vogelaar I., Lapolla P., Larsen H., Latif J., Laudari U., Laurnezi A., Lawal A., Lawday S., Lederhuber H., Lednev A., Lee R., Van Leerdam M. E., Lefevbre G., Lesmus M., Leyva Moraga F. A., Leyva Moraga E., Leyva Moraga F., Li H. L., Li A., Li Z., Licardie E., Light A., Lightner A. L., Lin A., Lincango E., Litta F., Liu H., Lofthouse B., Londono M. A., Lopes R., Lopes De Freitas R., Lopez L., Lopez A. I., Lopez-Gomez J., Lopez-Pena G., Lowe R., Lowe D., Lowey M., Loy G., Lozanovski V., Luzon J., Lynn P., MacCabe T., MacHielsen A., Mafla Herreria C. A., Maggino L., Mahawar K., Mahmood D., Mahmoud M., Mahtani K., Maitra I., Maji S., Majiet I., Mal L., Malherbe J., Malhotra K., Malkomes P., Man E., Manan Sheikh A., Manjunath S., Manzano Nunez R., Manzoor S., Maqsood R., Marchegiani G., Marchegiani F., Marin D., Marin A., Marks I., Marson E., Martensen A., Martin D., Martin Martin G., Martin-Perez B., Martinez P., Marwaha P., Mashauri C., Mashbari H., Masior L., Masri R., Masud L., Masudi S., Mateu Calabuig G., Math S., Matrachisia A., Mayol J., Mazingi D., Mazzotta A., McAlinden J., McCabe G., McColm L., McElvaney H., McGivern K., McGovern J., McGuinness E., McInerney N., McKay S., McKee C., McKenna M., McKenna N., McLean K., Mediratta S., Medkova Y., Medzhidov O., Mehraj A., Mekhael M., Mekinde O., Mellenthin C., Melucci A., Mentor K., Merchant J., Messias H., Messeha M., Meza C., Mhango P., Miladinov M., Milagros Niquen Jimenez M., Miller P., Mills E., Milton A., Minayeva O. A., MinHua Zheng Z., Mischlinger H., Mockli B., Modi R., Mohamed H. M., Mohamed M., Mohamed Abulghasm T., Mohammad S. A., Mohammed T. O., Mohammed A., Mohan H., Mohan M., Moin I., Mok V., Molina G., Moloney J., Moneim J., Monfort Mira M., Montcusi Ventura B., Montouri M., Moossdorff M., Mora-Guzman I., Moran B., Moran R. A. R., Moreno-Ordaz S., Morera A., Morgan R., Morley R., Moro-Valdezate D., Moros S., Moss J. -L., Morven A., Morton D., Moynihan A., Moyon M., Muduli N., Mugla N., Mugla W., Muller P., Mun G., Mundhada R., Munir I., Munoz F., Munoz E., Munoz A., Munoz Balderas D. C., Murgitroyd E., Murray V., Murthy S., Mushiwokufa W., Mustafa H., Mustakimov B., Mutambanengwe P., Myint P., Nadkarni S., Naess P. A., Nahar S., Naidoo P., Nam R., Nandhra S., Nanjappa N., Narasimhan V., Nardi W., Nasir M., Naughton A., Naumann D., Navarro S., Nawaaz Karimbocus M., Nazir A., Ndereya S., Ndong A., Negoi I., Nel D., Nelson D., Nepal S., Nugent T., Nepogodiev D., Neufeld J., Ng J., Ng D., Ng C. E., Ngaserin S., Ngu L., Ngwenya E., Fhearaigh R. N., Nikolousakis T. -K., Ninkovic M., Nita G., Nitschke C., Noren E., Noton T., Novikova A., Nowinka Z., Nyakunengwa T., Nyalundja A., Nzenwa I., Kristensen H. O., O'Brien C., O'Brien L., O'Brien S., O'Reilly J., O'Rourke S., O'Sullivan M., O'Dwyer M., Ochieng L., Oderoha E., Oh K. E., Ohlberger L., Olcum M., Olkina A., Omkumar M., Omnitel B., Oncel Yakar D., Ong K., Ong Wei Lin L., Ooi R., Ooi S., Oomman A., Oon Tyjet D., Opiyo S., Oscullo Yepez J. J., Osei-Kuffour N., Osunronbi T., Ottlakan A., Oussama Kacimi S., Ovaere S., Ozair A., Pachler F., Pai Oo S., Paiella S., Panaiotti L., Panda N., Pandarinath S., Pandey D., Pandrowala S., Papa Mamadou F., Paranathala M., Park J., Parmar C., Parvez A., Pasovic L., Pasquer A., Pasumarthy N., Pata F., Patel T., Patel P., Patel N., Patel M., Patron Uriburu N., Patrone R., Paul A., Pavan Kumar O. M., Pavithran A., Pedraza Ciro M., Pellino G., Peloso A., Pena Gallardo M. T., Pena Velazquez A., Perea J., Perez-Sanchez L. E., Perra T., Perrotta G., Petersson P., Petra G., Petrucciani N., Pickin C., Pino V., Pinotti E., Pinto F., Plum P., Podesta F., Pollini T., Pompeu Sa M., Ponce Leon F., Ponniah H. S., Ponte De Sousa X., Ponton J., Pontula A., Popa M., Portilla A. L., Posner F., Post S., Potolicchio A., Pouwels S., Povo A., Prasad P., Preciado S., Preece R., Proud D., Pulido Segura J. A., Puliyath N., Qui M., Quimbaya Rodriguez A. S., Raby-Smith W., Racovita A., Rad A., Radwan R., Rafaih Iqbal M., Rafik A., Raguan B., Rahi M., Rahiri J. -L., Rahme J., Rai L., Raj A., Raj Saksena A., Raja M., Ramirez J., Ramzi J., Ranstam J., Rao C., Rashid A., Ratnayake B., Rattanasirivilai K., Raubenheimer K., Ravikumar N., Ravn S., Razoz N., Rea W., Regan A., Rela M., Remme A., Rey Chaves C. E., Reyes A., Riad A., Rice D., Rios Quintana K., Ritter A., Roalso M., Robinson D., Rodriguez J., Rodriguez F., Rodriguez M. C., Rogers A., Rohila J., Romanyuc D., Romic I., Rommaneh M., Rompianesi G., Rosa F., Roscio F., Rose A., Rotimi T., Ruiz H., Ruiz Yucuma J., Ruiz-Ucar E., Ruslan M., Rutegard M., Ryan Harper E., Ryckx A., Rydbeck D., Sa-Marta E., Sadien I., Safari Nteranya D., Sagoo K., Sakata S., Saladino E., Saleem A., Saleem S., Salehi M., Salih S., Sallinen V., Salvans S., Sam Z. H., Samadov E., Sampaio Alves M., Sanad A., Sanchez Fonseca S., Sanchez Teran A., Sanchez Ussa S., Sandli O., Sanfey H., Sanghera J., Sani I., Santafe Guerrero M., Sante Fornasiero M., Santes Jasso O., Santos Pereira I., Santos Sousa H., Saratzis A., Sarmiento Alarcon A., Saumtally T., Sayyed R., Schettino M., Schleimer L., Schmidt T., Schondffelt K., Schwab M., Scott A., Searle H., Sebopelo L., Seeglier B., Seishima R., Semenvov D., Senent-Boza A., Sepulveda J., Serenari M., Serrano Navidad M., Sert I., Sewart E., Sgro A., Shadrina V., Shah K., Shahid F., Shalaby M., Shankar B., Shapiro J., Sharma L., Sheel A., Shenfine A., Shenoy S., Sherif A., Shetty N., Shetty R., Sia T. C., Sichimba D., Siddique H., Siddiqui I., Simkens G., Simoe J., Simon H., Sinan L., Singh T., Singh K., Singh Y., Sinha L., Siragusa L., Sluckin T., Smart Y. W., Smith H., Smith K., Smits L., Sneep-Van Kessel C., Sohrabi C., Solorzano Pineda O., Soma A., Sooriyapiragasam L., Soreide K., Sparavigna M., Spence R., Spencer N., Spiers H., Spinelli A., Sprakel J., Sravanam S., Srinivasan M., Srinivasan R., Staniszewska A., Stanworth S. J., Stasinos K., Steele R. J. C., Steinholt I., Steinruecke M., Stephen B. -J., Stijns J., Still M., Stupalkowska W., Subba S., Subbotin V. V., Sucharitkul P., Sudarsanam A., Sudhamsh Reddy D., Suhardja T., Suliman M., Sund M., Sunilkumar A., Suresh N., Sussmes S., Sutton P., Syltern J., Taha A., Takamizawa Y., Takoutsing Dongmo A. B., Tamas T., Tan L., Tan J. L., Tan K., Tan E., Tan Yong Hui A., Tanase A., Tariverdiev A., Tasnem A., Tatar C., Tay E., Tejedor P., Tesfaye G., Tetinou F., Thorpe C., Thyo A., Tlelo Amastal D., Tolani M., Tolga Saracoglu K., Tolgyes T., Tong J., Torrent Jansa L., Toscano Igartua S., Tovani Palone M. R., Traff H., Trevis J., Tummers W., Tur A., Turchenko I., Uche V., Uddin A., Udonsak N., Ullah M., Urbonas T., Uwins C., Uy Magadia E., Uzair Qureshi A., Uzun K., Vadim P., Valarche G., Valdez Gonzalez R. A., Vallee M., Van Beek D. -J., Van Dalen A. S., Van Den Hondel D., Van Der Stok E., Van Dorp M., Van Oostendorp S., Van Praag E., Van Rees J., Van Silfhout L., Varga Z., Varghese S., Varghese C., Varghese J., Vasilica A. -M., Vasquez Ojeda X., Vega E., Vehler S., Venchiarutti R., Vengatesan S., Venn M., Verma D., Vianey Partida Nava G., Victoria D., Vieira P., Vilar Alvarez M. E., Vinci D., Viscasillas Pallas G., Viswanath M., Vivanco J., Vizcaya Rodriguez V., Vo J., Volchanski D., Voron T., Voronovskyi Y., Vu J., Wadhwa M., Wadhwa S., Wagner G., Wallace M., Wang Y. Y., Wang J., Wani A., Wanigasooriya K., Wanjara S., Wanjiku N., Warner C., Wei Leow T., Weiser T., Weisters M., Wellington M. J., Wells C., Wenzelberg C., Wettstein D., Wezel A., Wheldon L., Widmer L., Wilson M., Wigmore S., Wijayaratne T., Wijeyaratne M., Wijnhoven B. P. L., Wilkin R., Williams E., Willis F., Winter D., Wirsik M. M., Wishah B., Wong G., Wong W. J., Wong K., Wong K. -Y., Worku D., Wright E., Wright J., Wroe Wright O., Xenacki S., Xia W., Xu W., Xu Z., Yalcinkaya A., Yang W., Yang P. -C., Yanishev A., Yanzon De La Torre A., Yao H., Yaqoob E., Yen Ling Quake S., Yeo D., Yeom B., Yershov D., Yiasemidou M., Yildiz A., Yiu A., Yoav M., Yong E., Yoshimura R., Younis M. U., Younis Ringshawl Z., Youssef M., Yue Y., Yuen S., Yuldashev R., Yurttas C., Yves B., Zaborowski A., Zackeri R., Zafar A., Zahra W., Zaidi A., Zainudin S., Zakeri R., Zamora I., Zamora A. T., Zawistowski M., Zbikowska G., Zegers W., Zehra S., Zeyra A., Zhagniyev Z., Zhukova L. G., Zivanovic M., Zmuc J., Zope M., Zubayraeva A., and Zucker B.
- Abstract
Background: Coronavirus disease 2019 (COVID-19) was declared a pandemic by the WHO on 11 March 2020 and global surgical practice was compromised. This Commission aimed to document and reflect on the changes seen in the surgical environment during the pandemic, by reviewing colleagues experiences and published evidence. Methods: In late 2020, BJS contacted colleagues across the global surgical community and asked them to describe how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had affected their practice. In addition to this, the Commission undertook a literature review on the impact of COVID-19 on surgery and perioperative care. A thematic analysis was performed to identify the issues most frequently encountered by the correspondents, as well as the solutions and ideas suggested to address them. Results: BJS received communications for this Commission from leading clinicians and academics across a variety of surgical specialties in every inhabited continent. The responses from all over the world provided insights into multiple facets of surgical practice from a governmental level to individual clinical practice and training. Conclusion: The COVID-19 pandemic has uncovered a variety of problems in healthcare systems, including negative impacts on surgical practice. Global surgical multidisciplinary teams are working collaboratively to address research questions about the future of surgery in the post-COVID-19 era. The COVID-19 pandemic is severely damaging surgical training. The establishment of a multidisciplinary ethics committee should be encouraged at all surgical oncology centres. Innovative leadership and collaboration is vital in the post-COVID-19 era.
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- 2021
4. Can Biomechanical Testing After Anterior Cruciate Ligament Reconstruction Identify Athletes at Risk for Subsequent ACL Injury to the Contralateral Uninjured Limb?
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King, E, Richter, C, Daniels, KAJ, Franklyn-Miller, A, Falvey, E, Myer, GD, Jackson, M, Moran, R, Strike, S, King, E, Richter, C, Daniels, KAJ, Franklyn-Miller, A, Falvey, E, Myer, GD, Jackson, M, Moran, R, and Strike, S
- Abstract
BACKGROUND: Athletes are twice as likely to rupture the anterior cruciate ligament (ACL) on their healthy contralateral knee than the reconstructed graft after ACL reconstruction (ACLR). Although physical testing is commonly used after ACLR to assess injury risk to the operated knee, strength, jump, and change-of-direction performance and biomechanical measures have not been examined in those who go on to experience a contralateral ACL injury, to identify factors that may be associated with injury risk. PURPOSE: To prospectively examine differences in biomechanical and clinical performance measures in male athletes 9 months after ACLR between those who ruptured their previously uninjured contralateral ACL and those who did not at 2-year follow-up and to examine the ability of these differences to predict contralateral ACL injury. STUDY DESIGN: Case-control study; Level of evidence, 3. METHODS: A cohort of male athletes returning to level 1 sports after ACLR (N = 1045) underwent isokinetic strength testing and 3-dimensional biomechanical analysis of jump and change-of-direction tests 9 months after surgery. Participants were followed up at 2 years regarding return to play or at second ACL injury. Between-group differences were analyzed in patient-reported outcomes, performance measures, and 3-dimensional biomechanics for the contralateral limb and asymmetry. Logistic regression was applied to determine the ability of identified differences to predict contralateral ACL injury. RESULTS: Of the cohort, 993 had follow-up at 2 years (95%), with 67 experiencing a contralateral ACL injury and 38 an ipsilateral injury. Male athletes who had a contralateral ACL injury had lower quadriceps strength and biomechanical differences on the contralateral limb during double- and single-leg drop jump tests as compared with those who did not experience an injury. Differences were related primarily to deficits in sagittal plane mechanics and plyometric ability on the contralateral side.
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- 2021
5. Biomechanical but Not Strength or Performance Measures Differentiate Male Athletes Who Experience ACL Reinjury on Return to Level 1 Sports
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King, E, Richter, C, Daniels, KAJ, Franklyn-Miller, A, Falvey, E, Myer, GD, Jackson, M, Moran, R, Strike, S, King, E, Richter, C, Daniels, KAJ, Franklyn-Miller, A, Falvey, E, Myer, GD, Jackson, M, Moran, R, and Strike, S
- Abstract
BACKGROUND: Performance measures such as strength, jump height/length, and change of direction (CoD) time during anterior cruciate ligament (ACL) rehabilitation have been used to determine readiness to return to play and identify those who may be at risk of rerupture. However, athletes may reach these criteria despite ongoing biomechanical deficits when performing these tests. Combining return-to-play criteria with an assessment of movement through 3-dimensional (3D) biomechanics in male field sports athletes to identify risk factors for ACL rerupture has not been explored previously. PURPOSE: To prospectively examine differences in strength, jump, and CoD performance and movement using 3D biomechanics in a cohort of male athletes playing level 1 sports (ie, multidirectional field sports that involve landing, pivoting, or CoD) between those who reinjured the reconstructed ACL (RI group) and those with no reinjury (NRI group) after 2 years of follow-up and to examine the ability of these differences to predict reinjury. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: After primary ACL reconstruction (ACLR), 1045 male athletes were recruited and underwent testing 9 months after surgery including isokinetic strength, jump, and CoD performance measures as well as patient-reported outcomes and 3D biomechanical analyses. Participants were followed up after 2 years regarding ACL reinjury status. Differences were determined between the RI and NRI groups in patient-reported outcomes, performance measures, and 3D biomechanics on the ACLR side and symmetry between limbs. The ability of these measures to predict ACL reinjury was determined through logistic regression. RESULTS: No differences were identified in strength and performance measures on the ACLR side or in symmetry. Biomechanical analysis indicated differences on the ACLR side primarily in the sagittal plane for the double-leg drop jump (effect size, 0.59-0.64) and greater asymmetry primarily in the frontal
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- 2021
6. Return to Play After Patellar Tendon Autograft for Primary Anterior Cruciate Ligament Reconstruction in Rugby Players.
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Hurley, ET, Withers, D, King, E, Franklyn-Miller, A, Jackson, M, Moran, R, Hurley, ET, Withers, D, King, E, Franklyn-Miller, A, Jackson, M, and Moran, R
- Abstract
BACKGROUND: There is scant literature on outcomes after anterior cruciate ligament (ACL) reconstruction in rugby players, and no prior study has evaluated the outcomes of bone-patellar tendon-bone (BTB) autograft ACL reconstruction. PURPOSE: To assess the rate of return to play, the timing of that return, and the subsequent graft reinjury rate among rugby players after ACL reconstruction with BTB autograft. METHODS: The ACL registry at a single hospital was screened for professional and amateur rugby players who had undergone a primary ACL reconstruction with BTB autograft. Professional rugby players were those playing for one of the professional provincial teams in Ireland. Outcomes were analyzed for the rate and timing of return to play, functional outcomes, and subsequent graft ruptures. Additionally, outcomes were compared between professional and amateur athletes. STUDY DESIGN: Case series; Level of evidence, 4. RESULTS: A total of 126 patients with 24 months of follow-up were enrolled. The overall rate of return to play was 84.9%, with 75.4% returning to the same level of play; 8.7% of patients did not return to play secondary to non-knee-related issues. The mean time to return was 10.9 ± 4.9 months. Among professional rugby players, 93.3% were able to return at a mean time of 9.7 ± 4.4 months; 80% returned to the same level. The mean Anterior Cruciate Ligament-Return to Sport after Injury score was 78.4 ± 20.2, the Cincinnati knee score was 92.5 ± 8.0, the International Knee Documentation Committee score was 88.2 ± 8.1, and the Marx score was 9.7 ± 5.3. Two patients sustained a subsequent rerupture of the reconstructed ACL, and 4 players sustained a contralateral ACL injury within the follow-up interval of 2 years. CONCLUSION: Rugby players receiving BTB ACL reconstruction demonstrated good clinical outcomes with a high rate of return to sport, with the majority returning before 12 months. The rate of a subsequent ACL injury was low among the authors' cohort
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- 2021
7. Differences in Strength, Patient-Reported Outcomes, and Return-to-Play Rates Between Athletes With Primary Versus Revision ACL Reconstruction at 9 Months After Surgery
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Carolan, D, King, E, Richter, C, Franklyn-Miller, A, Moran, R, Jackson, M, Carolan, D, King, E, Richter, C, Franklyn-Miller, A, Moran, R, and Jackson, M
- Abstract
BACKGROUND: Patient-reported outcomes and return-to-play (RTP) rates are inferior after revision anterior cruciate ligament reconstruction (ACLR) compared with primary ACLR. Physical properties such as maximal, explosive, and reactive strength influence reinjury and RTP rates after ACLR. No study has compared these outcomes between revision and primary ACLR. PURPOSE: To compare maximal, explosive, and reactive strength of the ACLR limb, as well as patient-reported outcomes and RTP rates between primary and revision ACLR at 9 months after surgery. STUDY DESIGN: Cohort study; Level of evidence, 2. METHODS: A comparative study was performed at 9 months after surgery for 344 male athletes who had undergone ACLR (298 primary, 46 revision). Maximal strength of the ACLR limb was measured by means of isokinetic dynamometry. Explosive strength was measured by use of single-leg countermovement jump height, and reactive strength was measured by single-leg drop jump. Patient-reported outcomes and responses to RTP questionnaires were recorded for both groups. RESULTS: The primary ACLR group had higher scores than the revision ACLR group for single-leg countermovement jump height (P = .02) and single-leg drop jump reactive strength index (P = .01) on the ACLR limb. No significant difference was observed between groups on maximal strength of the quadriceps or hamstring, and no significant difference in limb symmetry index was observed between groups on any strength or jump test. The primary ACLR group demonstrated higher scores on the Marx Activity Rating Scale (P = .03) and the Anterior Cruciate Ligament-Return to Sport after Injury scale (P < .001). Athletes in the primary ACLR group were more likely to have returned to sport (P < .001). CONCLUSION: At 9 months after surgery, athletes who had undergone revision ACLR achieved maximal strength similar to that of athletes who had undergone primary ACLR. However, athletes who had revision ACLR demonstrated lower scores on explosive
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- 2020
8. Antibiotic allergy labels in hospitalized and critically ill adults: A review of current impacts of inaccurate labelling
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Moran, R, Devchand, M, Smibert, O, Trubiano, JA, Moran, R, Devchand, M, Smibert, O, and Trubiano, JA
- Abstract
Antibiotic allergy labels (AALs) are reported by approximately 20% of hospitalized patients, yet over 85% will be negative on formal allergy testing. Hospitalized patients with an AAL have inferior patient outcomes, increased colonization with multidrug-resistant organisms and frequently receive inappropriate antimicrobials. Hospitalized populations have been well studied but, to date, the impact of AALs on patients with critical illness remains less well defined. We review the prevalence and impact of AALs on hospitalized patients, including those in in critical care.
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- 2019
9. Whole-body biomechanical differences between limbs exist 9 months after ACL reconstruction across jump/landing tasks
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King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Moran, R, Strike, S, King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Moran, R, and Strike, S
- Abstract
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd Introduction: Previous studies examining jump tasks after anterior cruciate ligament reconstruction (ACLR) have focused on performance measures without examining joint kinematic and kinetic variables. The aim of this study was to identify differences in biomechanical and performance measures between limbs across tests 9 months after surgery. Methods: Four jump tests (double-leg drop jump (DLDJ), single-leg drop jump (SLDJ), single-leg hop for distance (SLHD) and hurdle hop (HH)) were carried out on 156 male subjects in a 3D motion capture laboratory 9 months after surgery. Statistical parametric mapping was used to identify differences in jump performance and biomechanical variables between limbs. Results: Biomechanical measures were lower on the ACLR side across all four tests for internal knee valgus moment (effect size (ES) 0.77-0.92), knee internal rotation angle (ES 0.59-0.8), and ankle external rotation moment (ES 0.59-0.73), with the center of mass less posterior to the knee during the single-leg tests (ES 0.61-0.82). The timing of the largest difference between limbs was not at the same % stance between variables within a test or for any variable across tests. Large ES differences were observed in performance in the SLDJ (ES 0.73-0.81; LSI 78%) and small differences in the SLHD (ES 0.36; LSI 94%) between the limbs. Conclusion: Findings highlighted biomechanical differences between limbs which are consistent across jump tasks suggesting insufficient rehabilitation at 9 months post surgery. Results indicate that the SLDJ may identify greater performance deficits between limbs than SLHD, which may over-estimate rehabilitation status.
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- 2018
10. Biomechanical but not timed performance asymmetries persist between limbs 9 months after ACL reconstruction during planned and unplanned change of direction
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King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Jackson, M, Moran, R, Strike, S, King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Jackson, M, Moran, R, and Strike, S
- Abstract
© 2018 Elsevier Ltd Whilst anterior cruciate ligament injury commonly occurs during change of direction (CoD) tasks, there is little research on how athletes execute CoD after anterior cruciate ligament reconstruction (ACLR). The aims of this study were to determine between-limb and between-test differences in performance (time) and joint kinematics and kinetics during planned and unplanned CoD. One hundred and fifty-six male subjects carried out 90° maximal effort, planned and unplanned CoD tests in a 3D motion capture laboratory 9 months after ACLR. Statistical parametric mapping (2 × 2 ANOVA; limb × test) was used to identify differences in CoD time and biomechanical measures between limbs and between tests. There was no interaction effect but a main effect for limb and task. There was no between-limb difference in the time to complete both CoD tests. Between-limb differences were found for internal knee valgus moment, knee internal rotation and flexion angle, knee extension and external rotation moment and ankle external rotation moment with lower values on the ACLR side (effect size 0.72–0.5). Between test differences were found with less contralateral pelvis rotation, distance from centre of mass to the ankle in frontal plane, posterior ground reaction force and greater hip abduction during the unplanned CoD (effect size 0.75–0.5). Findings demonstrated that kinematic and kinetic differences between limbs are evident during both CoD tests 9 months after surgery, despite no statistical differences in performance time. Biomechanical differences between tests were found in variables, which have previously been associated with ACL injury mechanism during unplanned CoD.
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- 2018
11. Whole-body biomechanical differences between limbs exist 9 months after ACL reconstruction across jump/landing tasks
- Author
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King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Moran, R, Strike, S, King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Moran, R, and Strike, S
- Abstract
INTRODUCTION: Previous studies examining jump tasks after anterior cruciate ligament reconstruction (ACLR) have focused on performance measures without examining joint kinematic and kinetic variables. The aim of this study was to identify differences in biomechanical and performance measures between limbs across tests 9 months after surgery. METHODS: Four jump tests (double-leg drop jump (DLDJ), single-leg drop jump (SLDJ), single-leg hop for distance (SLHD) and hurdle hop (HH)) were carried out on 156 male subjects in a 3D motion capture laboratory 9 months after surgery. Statistical parametric mapping was used to identify differences in jump performance and biomechanical variables between limbs. RESULTS: Biomechanical measures were lower on the ACLR side across all four tests for internal knee valgus moment (effect size 0.78-0.96, knee internal rotation angle 0.59-0.73, and 0.60-0.83), respectively. [corrected].The timing of the largest difference between limbs was not at the same % stance between variables within a test or for any variable across tests. Large ES differences were observed in performance in the SLDJ (ES 0.73-0.81; LSI 78%) and small differences in the SLHD (ES 0.36; LSI 94%) between the limbs. CONCLUSION: Findings highlighted biomechanical differences between limbs which are consistent across jump tasks suggesting insufficient rehabilitation at 9 months post surgery. Results indicate that the SLDJ may identify greater performance deficits between limbs than SLHD, which may over-estimate rehabilitation status.
- Published
- 2018
12. Whole-body biomechanical differences between limbs exist 9 months after ACL reconstruction across jump/landing tasks
- Author
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King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Moran, R, Strike, S, King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Moran, R, and Strike, S
- Abstract
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd Introduction: Previous studies examining jump tasks after anterior cruciate ligament reconstruction (ACLR) have focused on performance measures without examining joint kinematic and kinetic variables. The aim of this study was to identify differences in biomechanical and performance measures between limbs across tests 9 months after surgery. Methods: Four jump tests (double-leg drop jump (DLDJ), single-leg drop jump (SLDJ), single-leg hop for distance (SLHD) and hurdle hop (HH)) were carried out on 156 male subjects in a 3D motion capture laboratory 9 months after surgery. Statistical parametric mapping was used to identify differences in jump performance and biomechanical variables between limbs. Results: Biomechanical measures were lower on the ACLR side across all four tests for internal knee valgus moment (effect size (ES) 0.77-0.92), knee internal rotation angle (ES 0.59-0.8), and ankle external rotation moment (ES 0.59-0.73), with the center of mass less posterior to the knee during the single-leg tests (ES 0.61-0.82). The timing of the largest difference between limbs was not at the same % stance between variables within a test or for any variable across tests. Large ES differences were observed in performance in the SLDJ (ES 0.73-0.81; LSI 78%) and small differences in the SLHD (ES 0.36; LSI 94%) between the limbs. Conclusion: Findings highlighted biomechanical differences between limbs which are consistent across jump tasks suggesting insufficient rehabilitation at 9 months post surgery. Results indicate that the SLDJ may identify greater performance deficits between limbs than SLHD, which may over-estimate rehabilitation status.
- Published
- 2018
13. Biomechanical but not timed performance asymmetries persist between limbs 9 months after ACL reconstruction during planned and unplanned change of direction
- Author
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King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Jackson, M, Moran, R, Strike, S, King, E, Richter, C, Franklyn-Miller, A, Daniels, K, Wadey, R, Jackson, M, Moran, R, and Strike, S
- Abstract
© 2018 Elsevier Ltd Whilst anterior cruciate ligament injury commonly occurs during change of direction (CoD) tasks, there is little research on how athletes execute CoD after anterior cruciate ligament reconstruction (ACLR). The aims of this study were to determine between-limb and between-test differences in performance (time) and joint kinematics and kinetics during planned and unplanned CoD. One hundred and fifty-six male subjects carried out 90° maximal effort, planned and unplanned CoD tests in a 3D motion capture laboratory 9 months after ACLR. Statistical parametric mapping (2 × 2 ANOVA; limb × test) was used to identify differences in CoD time and biomechanical measures between limbs and between tests. There was no interaction effect but a main effect for limb and task. There was no between-limb difference in the time to complete both CoD tests. Between-limb differences were found for internal knee valgus moment, knee internal rotation and flexion angle, knee extension and external rotation moment and ankle external rotation moment with lower values on the ACLR side (effect size 0.72–0.5). Between test differences were found with less contralateral pelvis rotation, distance from centre of mass to the ankle in frontal plane, posterior ground reaction force and greater hip abduction during the unplanned CoD (effect size 0.75–0.5). Findings demonstrated that kinematic and kinetic differences between limbs are evident during both CoD tests 9 months after surgery, despite no statistical differences in performance time. Biomechanical differences between tests were found in variables, which have previously been associated with ACL injury mechanism during unplanned CoD.
- Published
- 2018
14. SMOS-IC:Current Status and Overview of Soil Moisture and VOD Applications
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Wigneron, J. -P., Mialon, A., De lannoy, G., Fernandez-Moran, R., Al-Yaari, A., Ebrahimi, M., Rodriguez-Fernandez, N., Kerr, Y., Quets, J., Pellarin, T., Fan, L., Tian, F., Fensholt, R., Brandt, M., Wigneron, J. -P., Mialon, A., De lannoy, G., Fernandez-Moran, R., Al-Yaari, A., Ebrahimi, M., Rodriguez-Fernandez, N., Kerr, Y., Quets, J., Pellarin, T., Fan, L., Tian, F., Fensholt, R., and Brandt, M.
- Published
- 2018
15. Abstracts of presentations on selected topics at the XIVth international plant protection congress (IPPC) July 25-30, 1999
- Author
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Hull, R., Kuiper, H., Noordam, Maryvon, Hoy, Marjorie, Cory, Jenny, Fereres, A., Gonzalez, P., Meins, F., Elkind, Y., Charrier, Benedicte, Meyer, P., Metzlaff, M., Schuch, W., Ikin, R., Parnell, T., Frison, E., Spiegel, S., Diekmann, Marlene, Ausher, R., Hollingworth, R., Holm, Robert, Ragsdale, N., Federici, B., Vlak, J., Chejanovsky, N., Bianchi, F., Joosten, Nina, Gutierrez, Serafin, van der Wert, W., Regev, A., Inceoglu, B., Reske, G., Gershburg, E., Rivkin, H., Zilberberg, N., Froy, O., Gurevitz, M., Hammock, B., Llobell, A., Monte, E., González-Candelas, L., Dealessi, Laura, Camponogara, Andrea, Ramón-Vidal, D., Migheli, Q., Chernin, L., Zhou, L., Ovadis, M., Ismailov, Z., Chet, I., Teng, P., Mohankumar, S., Renganayaki, K., Nagarajan, P., Balasaraswathi, R., Shanmugasundaram, P., Reddy, Avutu, Sadasivam, S., Thottappilly, G., Ng, S., Winter, S., Shvidchenko, V., Manadilova, A., Sadvakasova, G., Sozinova, L., Levy, D., Loebenstein, G., Khadi, B., Kulkarni, V., Patil, S., Freyssinet, G., Kaufmann, J., Owen, M., Dolgov, S., Rotteveel, A., Gressel, J., Tzotzos, G., Ammann, K., Jacot, Yolande, Raybould, A., Gray, A., Maskell, L., Cooper, J., Edwards, M., Pallet, D., Williams, D., Smith, M., Aldwinckle, H., Norelli, J., Bolar, J., Harman, G., Martini, N., Porsch, Petra, Mahn, A., Bulow, L., Brinkmann, O., Giet't'ers, W., During, K., Dahan, Aviva, Fahima, T., Nevo, E., Dickman, M., Gonsalves, D., Cheng, Z., Wu, M., He, X., Chen, C., Zhang, J., Gafni, Y., Daly, J., Fitt, G., Olsen, K., Mares, C., Moran, R., Garcia, R., Mena, J., Zaldua, Zurima, Garcia, Melba, Lopez, Alina, Somonte, Danalay, Alvarez, Irene, de la Riva, G., Selman, G., Shomer-Ilan, Adiva, Walsh, J., Jenner, Carol, Rusholme, Rachel, Hughes, Sara, Sanchez, Flora, Ponz, F., Lydiate, D., Röder, Marion, Peng, Jun-Hua, Grama, Adriana, Korol, A., Paran, I., Zamir, D., van der Voort, J., van Eck, H., van Koert, P., van Os, H., Buntjer, J., Visser, R., Stiekema, W., Bakker, J., Lankhorst, R., van der Vossen, E., Kanyuka, K., Bendahmane, A., Monk, Kathy, Tomerlin, J., Petersen, B., Leonard, P., Smith, I., Shaner, D., Delbridge, T., Levy, Edna, Kovanci, O., Kovanci, B., Salpiggidis, G., Navrozidis, E., Zartaloudis, Z., El-Shemy, Hamied, Di Primo, P., Cartia, G., Rahman, Mohamed, Lopez-Martinez, Nuria, De Prado, R., El-Nahhal, Y., Safi, J., Polubesova, Tamara, Levi, Avishag, Margulies, L., Rubin, B., Undabeytia, T., Hull, R., Kuiper, H., Noordam, Maryvon, Hoy, Marjorie, Cory, Jenny, Fereres, A., Gonzalez, P., Meins, F., Elkind, Y., Charrier, Benedicte, Meyer, P., Metzlaff, M., Schuch, W., Ikin, R., Parnell, T., Frison, E., Spiegel, S., Diekmann, Marlene, Ausher, R., Hollingworth, R., Holm, Robert, Ragsdale, N., Federici, B., Vlak, J., Chejanovsky, N., Bianchi, F., Joosten, Nina, Gutierrez, Serafin, van der Wert, W., Regev, A., Inceoglu, B., Reske, G., Gershburg, E., Rivkin, H., Zilberberg, N., Froy, O., Gurevitz, M., Hammock, B., Llobell, A., Monte, E., González-Candelas, L., Dealessi, Laura, Camponogara, Andrea, Ramón-Vidal, D., Migheli, Q., Chernin, L., Zhou, L., Ovadis, M., Ismailov, Z., Chet, I., Teng, P., Mohankumar, S., Renganayaki, K., Nagarajan, P., Balasaraswathi, R., Shanmugasundaram, P., Reddy, Avutu, Sadasivam, S., Thottappilly, G., Ng, S., Winter, S., Shvidchenko, V., Manadilova, A., Sadvakasova, G., Sozinova, L., Levy, D., Loebenstein, G., Khadi, B., Kulkarni, V., Patil, S., Freyssinet, G., Kaufmann, J., Owen, M., Dolgov, S., Rotteveel, A., Gressel, J., Tzotzos, G., Ammann, K., Jacot, Yolande, Raybould, A., Gray, A., Maskell, L., Cooper, J., Edwards, M., Pallet, D., Williams, D., Smith, M., Aldwinckle, H., Norelli, J., Bolar, J., Harman, G., Martini, N., Porsch, Petra, Mahn, A., Bulow, L., Brinkmann, O., Giet't'ers, W., During, K., Dahan, Aviva, Fahima, T., Nevo, E., Dickman, M., Gonsalves, D., Cheng, Z., Wu, M., He, X., Chen, C., Zhang, J., Gafni, Y., Daly, J., Fitt, G., Olsen, K., Mares, C., Moran, R., Garcia, R., Mena, J., Zaldua, Zurima, Garcia, Melba, Lopez, Alina, Somonte, Danalay, Alvarez, Irene, de la Riva, G., Selman, G., Shomer-Ilan, Adiva, Walsh, J., Jenner, Carol, Rusholme, Rachel, Hughes, Sara, Sanchez, Flora, Ponz, F., Lydiate, D., Röder, Marion, Peng, Jun-Hua, Grama, Adriana, Korol, A., Paran, I., Zamir, D., van der Voort, J., van Eck, H., van Koert, P., van Os, H., Buntjer, J., Visser, R., Stiekema, W., Bakker, J., Lankhorst, R., van der Vossen, E., Kanyuka, K., Bendahmane, A., Monk, Kathy, Tomerlin, J., Petersen, B., Leonard, P., Smith, I., Shaner, D., Delbridge, T., Levy, Edna, Kovanci, O., Kovanci, B., Salpiggidis, G., Navrozidis, E., Zartaloudis, Z., El-Shemy, Hamied, Di Primo, P., Cartia, G., Rahman, Mohamed, Lopez-Martinez, Nuria, De Prado, R., El-Nahhal, Y., Safi, J., Polubesova, Tamara, Levi, Avishag, Margulies, L., Rubin, B., and Undabeytia, T.
- Published
- 2018
16. Phospholipid oxidation and carotenoid supplementation in Alzheimer’s disease patients
- Author
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Ademowo, O.S., Dias, H.K.I., Milic, I., Devitt, A., Moran, R., Mulcahy, R., Howard, A.N., Nolan, J.M., Griffiths, H.R., Ademowo, O.S., Dias, H.K.I., Milic, I., Devitt, A., Moran, R., Mulcahy, R., Howard, A.N., Nolan, J.M., and Griffiths, H.R.
- Abstract
Alzheimer's disease (AD) is a progressive, neurodegenerative disease, characterised by decline of memory, cognitive function and changes in behaviour. Generic markers of lipid peroxidation are increased in AD, therefore reactive oxygen species have been suggested to be involved in the aetiology of cognitive decline. Carotenoids are depleted in AD serum, therefore we have compared serum lipid oxidation between AD and age-matched control subjects before and after carotenoid supplementation. The novel oxidised phospholipid biomarker 1-palmitoyl-2-(5'-oxo-valeroyl)-sn-glycero-3-phosphocholine (POVPC) was analysed using electrospray ionization tandem mass spectrometry (MS) with multiple reaction monitoring (MRM), 8-isoprostane (IsoP) was measured by ELISA and ferric reducing antioxidant potential (FRAP) was measured by a colorimetric assay. AD patients (n=21) and healthy age-matched control subjects (n=16) were supplemented with either Macushield™ (10 mg meso-zeaxanthin, 10 mg lutein, 2 mg zeaxanthin) or placebo (sunflower oil) for six months. The MRM-MS method determined serum POVPC sensitively (from 10 µl serum) and reproducibly (CV=7.9%). At baseline, AD subjects had higher serum POVPC compared to age-matched controls, (p=0.017) and cognitive function was correlated inversely with POVPC (r=−0.37; p=0.04). After six months of carotenoid intervention, serum POVPC was not different in AD patients compared to healthy controls. However, POVPC was significantly higher in control subjects after six months of carotenoid intervention compared to their baseline (p=0.03). Serum IsoP concentration was unrelated to disease or supplementation. Serum FRAP was significantly lower in AD than healthy controls but was unchanged by carotenoid intervention (p=0.003). In conclusion, serum POVPC is higher in AD patients compared to control subjects, is not reduced by carotenoid supplementation and correlates with cognitive function.
- Published
- 2017
17. Phospholipid oxidation and carotenoid supplementation in Alzheimer’s disease patients
- Author
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Ademowo, O.S., Dias, H.K.I., Milic, I., Devitt, A., Moran, R., Mulcahy, R., Howard, A.N., Nolan, J.M., Griffiths, H.R., Ademowo, O.S., Dias, H.K.I., Milic, I., Devitt, A., Moran, R., Mulcahy, R., Howard, A.N., Nolan, J.M., and Griffiths, H.R.
- Abstract
Alzheimer's disease (AD) is a progressive, neurodegenerative disease, characterised by decline of memory, cognitive function and changes in behaviour. Generic markers of lipid peroxidation are increased in AD, therefore reactive oxygen species have been suggested to be involved in the aetiology of cognitive decline. Carotenoids are depleted in AD serum, therefore we have compared serum lipid oxidation between AD and age-matched control subjects before and after carotenoid supplementation. The novel oxidised phospholipid biomarker 1-palmitoyl-2-(5'-oxo-valeroyl)-sn-glycero-3-phosphocholine (POVPC) was analysed using electrospray ionization tandem mass spectrometry (MS) with multiple reaction monitoring (MRM), 8-isoprostane (IsoP) was measured by ELISA and ferric reducing antioxidant potential (FRAP) was measured by a colorimetric assay. AD patients (n=21) and healthy age-matched control subjects (n=16) were supplemented with either Macushield™ (10 mg meso-zeaxanthin, 10 mg lutein, 2 mg zeaxanthin) or placebo (sunflower oil) for six months. The MRM-MS method determined serum POVPC sensitively (from 10 µl serum) and reproducibly (CV=7.9%). At baseline, AD subjects had higher serum POVPC compared to age-matched controls, (p=0.017) and cognitive function was correlated inversely with POVPC (r=−0.37; p=0.04). After six months of carotenoid intervention, serum POVPC was not different in AD patients compared to healthy controls. However, POVPC was significantly higher in control subjects after six months of carotenoid intervention compared to their baseline (p=0.03). Serum IsoP concentration was unrelated to disease or supplementation. Serum FRAP was significantly lower in AD than healthy controls but was unchanged by carotenoid intervention (p=0.003). In conclusion, serum POVPC is higher in AD patients compared to control subjects, is not reduced by carotenoid supplementation and correlates with cognitive function.
- Published
- 2017
18. Phospholipid oxidation and carotenoid supplementation in Alzheimer’s disease patients
- Author
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Ademowo, O.S., Dias, H.K.I., Milic, I., Devitt, A., Moran, R., Mulcahy, R., Howard, A.N., Nolan, J.M., Griffiths, H.R., Ademowo, O.S., Dias, H.K.I., Milic, I., Devitt, A., Moran, R., Mulcahy, R., Howard, A.N., Nolan, J.M., and Griffiths, H.R.
- Abstract
Alzheimer's disease (AD) is a progressive, neurodegenerative disease, characterised by decline of memory, cognitive function and changes in behaviour. Generic markers of lipid peroxidation are increased in AD, therefore reactive oxygen species have been suggested to be involved in the aetiology of cognitive decline. Carotenoids are depleted in AD serum, therefore we have compared serum lipid oxidation between AD and age-matched control subjects before and after carotenoid supplementation. The novel oxidised phospholipid biomarker 1-palmitoyl-2-(5'-oxo-valeroyl)-sn-glycero-3-phosphocholine (POVPC) was analysed using electrospray ionization tandem mass spectrometry (MS) with multiple reaction monitoring (MRM), 8-isoprostane (IsoP) was measured by ELISA and ferric reducing antioxidant potential (FRAP) was measured by a colorimetric assay. AD patients (n=21) and healthy age-matched control subjects (n=16) were supplemented with either Macushield™ (10 mg meso-zeaxanthin, 10 mg lutein, 2 mg zeaxanthin) or placebo (sunflower oil) for six months. The MRM-MS method determined serum POVPC sensitively (from 10 µl serum) and reproducibly (CV=7.9%). At baseline, AD subjects had higher serum POVPC compared to age-matched controls, (p=0.017) and cognitive function was correlated inversely with POVPC (r=−0.37; p=0.04). After six months of carotenoid intervention, serum POVPC was not different in AD patients compared to healthy controls. However, POVPC was significantly higher in control subjects after six months of carotenoid intervention compared to their baseline (p=0.03). Serum IsoP concentration was unrelated to disease or supplementation. Serum FRAP was significantly lower in AD than healthy controls but was unchanged by carotenoid intervention (p=0.003). In conclusion, serum POVPC is higher in AD patients compared to control subjects, is not reduced by carotenoid supplementation and correlates with cognitive function.
- Published
- 2017
19. Phospholipid oxidation and carotenoid supplementation in Alzheimer’s disease patients
- Author
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Ademowo, O.S., Dias, H.K.I., Milic, I., Devitt, A., Moran, R., Mulcahy, R., Howard, A.N., Nolan, J.M., Griffiths, H.R., Ademowo, O.S., Dias, H.K.I., Milic, I., Devitt, A., Moran, R., Mulcahy, R., Howard, A.N., Nolan, J.M., and Griffiths, H.R.
- Abstract
Alzheimer's disease (AD) is a progressive, neurodegenerative disease, characterised by decline of memory, cognitive function and changes in behaviour. Generic markers of lipid peroxidation are increased in AD, therefore reactive oxygen species have been suggested to be involved in the aetiology of cognitive decline. Carotenoids are depleted in AD serum, therefore we have compared serum lipid oxidation between AD and age-matched control subjects before and after carotenoid supplementation. The novel oxidised phospholipid biomarker 1-palmitoyl-2-(5'-oxo-valeroyl)-sn-glycero-3-phosphocholine (POVPC) was analysed using electrospray ionization tandem mass spectrometry (MS) with multiple reaction monitoring (MRM), 8-isoprostane (IsoP) was measured by ELISA and ferric reducing antioxidant potential (FRAP) was measured by a colorimetric assay. AD patients (n=21) and healthy age-matched control subjects (n=16) were supplemented with either Macushield™ (10 mg meso-zeaxanthin, 10 mg lutein, 2 mg zeaxanthin) or placebo (sunflower oil) for six months. The MRM-MS method determined serum POVPC sensitively (from 10 µl serum) and reproducibly (CV=7.9%). At baseline, AD subjects had higher serum POVPC compared to age-matched controls, (p=0.017) and cognitive function was correlated inversely with POVPC (r=−0.37; p=0.04). After six months of carotenoid intervention, serum POVPC was not different in AD patients compared to healthy controls. However, POVPC was significantly higher in control subjects after six months of carotenoid intervention compared to their baseline (p=0.03). Serum IsoP concentration was unrelated to disease or supplementation. Serum FRAP was significantly lower in AD than healthy controls but was unchanged by carotenoid intervention (p=0.003). In conclusion, serum POVPC is higher in AD patients compared to control subjects, is not reduced by carotenoid supplementation and correlates with cognitive function.
- Published
- 2017
20. Computational neuroimaging strategies for single patient predictions
- Author
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Stephan, K E, Schlagenhauf, F, Huys, Q J M, Raman, S, Aponte, E A, Brodersen, K H, Rigoux, L, Moran, R J, Daunizeau, J, Dolan, R J, Friston, K J, Heinz, A, Stephan, K E, Schlagenhauf, F, Huys, Q J M, Raman, S, Aponte, E A, Brodersen, K H, Rigoux, L, Moran, R J, Daunizeau, J, Dolan, R J, Friston, K J, and Heinz, A
- Abstract
Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve clinically relevant single-subject predictions. An alternative to machine learning, which tries to establish predictive links between features of the observed data and clinical variables, is the deployment of computational models for inferring on the (patho)physiological and cognitive mechanisms that generate behavioural and neuroimaging responses. This paper discusses the rationale behind a computational approach to neuroimaging-based single-subject inference, focusing on its potential for characterising disease mechanisms in individual subjects and mapping these characterisations to clinical predictions. Following an overview of two main approaches - Bayesian model selection and generative embedding - which can link computational models to individual predictions, we review how these methods accommodate heterogeneity in psychiatric and neurological spectrum disorders, help avoid erroneous interpretations of neuroimaging data, and establish a link between a mechanistic, model-based approach and the statistical perspectives afforded by machine learning.
- Published
- 2017
21. Manual therapy and cervical artery dysfunction: Identification of potential risk factors in clinical encounters
- Author
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Vaughan, B, Moran, R, Tehan, P, Fryer, G, Holmes, M, Vogel, S, Taylor, A, Vaughan, B, Moran, R, Tehan, P, Fryer, G, Holmes, M, Vogel, S, and Taylor, A
- Abstract
Cervical artery dysfunction is a reported potential risk associated with manual therapy applied to the cervical and cervicothoracic spine. While a variety of physical examination tests have been advocated to screen patients who may be at risk of adverse events during or after manipulation, their clinical utility is limited. This paper provides an overview of the literature and current thinking with regard to risk assessment and clinical action related to the application of manual and exercise therapy for the cervical and upper thoracic spine.
- Published
- 2016
22. Serous cystic neoplasm of the pancreas: A multinational study of 2622 patients under the auspices of the International Association of Pancreatology and European Pancreatic Club (European Study Group on Cystic Tumors of the Pancreas)
- Author
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Jais, B., Rebours, V., Malleo, G., Salvia, R., Fontana, Tecla Maria, Maggino, L., Bassi, C., Manfredi, Riccardo, Moran, R., Lennon, A. M., Zaheer, A., Wolfgang, C., Hruban, R., Marchegiani, G., Fernandez Del Castillo, C., Brugge, W., Ha, Y., Kim, M. H., Oh, D., Hirai, I., Kimura, W., Jang, J. Y., Kim, S. W., Jung, W., Kang, H., Song, S. Y., Kang, C. M., Lee, W. J., Crippa, S., Falconi, M., Gomatos, I., Neoptolemos, J., Milanetto, A. C., Sperti, C., Ricci, C., Casadei, R., Bissolati, M., Balzano, G., Frigerio, I., Girelli, R., Delhaye, M., Bernier, B., Wang, H., Jang, K. T., Song, D. H., Huggett, M. T., Oppong, K. W., Pererva, L., Kopchak, K. V., Del Chiaro, M., Segersvard, R., Lee, L. S., Conwell, D., Osvaldt, A., Campos, V., Aguero Garcete, G., Napoleon, B., Matsumoto, I., Shinzeki, M., Bolado, F., Urman Fernandez, J. M., Keane, M. G., Pereira, S. P., Araujo Acuna, I., Vaquero, E. C., Angiolini, M. R., Zerbi, A., Tang, J., Leong, R. W., Faccinetto, A., Morana, G., Petrone, M. C., Arcidiacono, P. G., Moon, J. H., Choi, H. J., Gill, R. S., Pavey, D., Ouaissi, M., Sastre, B., Spandre, M., De Angelis, C. G., Rios-Vives, M. A., Concepcion-Martin, M., Ikeura, T., Okazaki, K., Frulloni, L., Messina, O., Levy, P., Fontana M., Manfredi R. (ORCID:0000-0002-4972-9500), Jais, B., Rebours, V., Malleo, G., Salvia, R., Fontana, Tecla Maria, Maggino, L., Bassi, C., Manfredi, Riccardo, Moran, R., Lennon, A. M., Zaheer, A., Wolfgang, C., Hruban, R., Marchegiani, G., Fernandez Del Castillo, C., Brugge, W., Ha, Y., Kim, M. H., Oh, D., Hirai, I., Kimura, W., Jang, J. Y., Kim, S. W., Jung, W., Kang, H., Song, S. Y., Kang, C. M., Lee, W. J., Crippa, S., Falconi, M., Gomatos, I., Neoptolemos, J., Milanetto, A. C., Sperti, C., Ricci, C., Casadei, R., Bissolati, M., Balzano, G., Frigerio, I., Girelli, R., Delhaye, M., Bernier, B., Wang, H., Jang, K. T., Song, D. H., Huggett, M. T., Oppong, K. W., Pererva, L., Kopchak, K. V., Del Chiaro, M., Segersvard, R., Lee, L. S., Conwell, D., Osvaldt, A., Campos, V., Aguero Garcete, G., Napoleon, B., Matsumoto, I., Shinzeki, M., Bolado, F., Urman Fernandez, J. M., Keane, M. G., Pereira, S. P., Araujo Acuna, I., Vaquero, E. C., Angiolini, M. R., Zerbi, A., Tang, J., Leong, R. W., Faccinetto, A., Morana, G., Petrone, M. C., Arcidiacono, P. G., Moon, J. H., Choi, H. J., Gill, R. S., Pavey, D., Ouaissi, M., Sastre, B., Spandre, M., De Angelis, C. G., Rios-Vives, M. A., Concepcion-Martin, M., Ikeura, T., Okazaki, K., Frulloni, L., Messina, O., Levy, P., Fontana M., and Manfredi R. (ORCID:0000-0002-4972-9500)
- Abstract
Objectives Serous cystic neoplasm (SCN) is a cystic neoplasm of the pancreas whose natural history is poorly known. The purpose of the study was to attempt to describe the natural history of SCN, including the specific mortality. Design Retrospective multinational study including SCN diagnosed between 1990 and 2014. Results 2622 patients were included. Seventy-four per cent were women, and median age at diagnosis was 58 years (16-99). Patients presented with non-specific abdominal pain (27%), pancreaticobiliary symptoms (9%), diabetes mellitus (5%), other symptoms (4%) and/or were asymptomatic (61%). Fifty-two per cent of patients were operated on during the first year after diagnosis (median size: 40 mm (2-200)), 9% had resection beyond 1 year of follow-up (3 years (1-20), size at diagnosis: 25 mm (4- 140)) and 39% had no surgery (3.6 years (1-23), 25.5 mm (1-200)). Surgical indications were (not exclusive) uncertain diagnosis (60%), symptoms (23%), size increase (12%), large size (6%) and adjacent organ compression (5%). In patients followed beyond 1 year (n=1271), size increased in 37% (growth rate: 4 mm/ year), was stable in 57% and decreased in 6%. Three serous cystadenocarcinomas were recorded. Postoperative mortality was 0.6% (n=10), and SCN's related mortality was 0.1% (n=1).
- Published
- 2016
23. Three-dimensional effect on the effective thermal conductivity of porous media
- Author
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Wang, Moran R, Dr., Wang, Moran R, Dr., Wang, J K, Pan, N, Chen, S Y, He, J H, Wang, Moran R, Dr., Wang, Moran R, Dr., Wang, J K, Pan, N, Chen, S Y, and He, J H
- Abstract
A three- dimensional mesoscopic method is developed for predicting the effective thermal conductivity of multiphase random porous media. The energy transport equations are solved by a lattice Boltzmann method for multiphase conjugate heat transfer through a porous structure whose morphology is characterized by a random generation- growth algorithm. Our numerical results show that the cell number in the third dimension influences the resulting effective thermal conductivity of three- dimensional porous media. The predicted effective thermal conductivity varies with the cell number in the third dimension following an exponential relationship, and it requires in the examples at least 10 cells along the third dimension before the predictions stabilize. Comparisons with the experimental data show that the effective thermal conductivities measured by the hot- probe and hot- wire techniques agree well with the predicted results by the two- dimensional model, whereas those measured by the transient comparative method agree more with the three- dimensional predictions.
- Published
- 2007
24. Three-dimensional effect on the effective thermal conductivity of porous media
- Author
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Wang, Moran R, Dr., Wang, Moran R, Dr., Wang, J K, Pan, N, Chen, S Y, He, J H, Wang, Moran R, Dr., Wang, Moran R, Dr., Wang, J K, Pan, N, Chen, S Y, and He, J H
- Abstract
A three- dimensional mesoscopic method is developed for predicting the effective thermal conductivity of multiphase random porous media. The energy transport equations are solved by a lattice Boltzmann method for multiphase conjugate heat transfer through a porous structure whose morphology is characterized by a random generation- growth algorithm. Our numerical results show that the cell number in the third dimension influences the resulting effective thermal conductivity of three- dimensional porous media. The predicted effective thermal conductivity varies with the cell number in the third dimension following an exponential relationship, and it requires in the examples at least 10 cells along the third dimension before the predictions stabilize. Comparisons with the experimental data show that the effective thermal conductivities measured by the hot- probe and hot- wire techniques agree well with the predicted results by the two- dimensional model, whereas those measured by the transient comparative method agree more with the three- dimensional predictions.
- Published
- 2007
25. A dcm study of spectral asymmetries in feedforward and feedback connections between visual areas v1 and v4 in the monkey
- Author
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Bastos, A.M., Litvak, V., Moran, R., Bosman, C.A., Fries, P., Friston, K.J., Bastos, A.M., Litvak, V., Moran, R., Bosman, C.A., Fries, P., and Friston, K.J.
- Abstract
Contains fulltext : 140013.pdf (Publisher’s version ) (Open Access)
- Published
- 2015
26. De novo mutations in the motor domain of KIF1A cause cognitive impairment, spastic paraparesis, axonal neuropathy, and cerebellar atrophy
- Author
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Lee, J.R., Srour, M., Kim, D., Hamdan, F.F., Lim, S.H., Brunel-Guitton, C., Decarie, J.C., Rossignol, E., Mitchell, G.A., Schreiber, A., Moran, R., Haren, K. van, Richardson, R., Nicolai, J., Oberndorff, K.M., Wagner, J.D., Boycott, K.M., Rahikkala, E., Junna, N., Tyynismaa, H., Cuppen, I., Verbeek, N.E., Stumpel, C.T., Willemsen, M.A., Munnik, S.A. de, Rouleau, G.A., Kim, E., Kamsteeg, E.J., Kleefstra, T., Michaud, J.L., Lee, J.R., Srour, M., Kim, D., Hamdan, F.F., Lim, S.H., Brunel-Guitton, C., Decarie, J.C., Rossignol, E., Mitchell, G.A., Schreiber, A., Moran, R., Haren, K. van, Richardson, R., Nicolai, J., Oberndorff, K.M., Wagner, J.D., Boycott, K.M., Rahikkala, E., Junna, N., Tyynismaa, H., Cuppen, I., Verbeek, N.E., Stumpel, C.T., Willemsen, M.A., Munnik, S.A. de, Rouleau, G.A., Kim, E., Kamsteeg, E.J., Kleefstra, T., and Michaud, J.L.
- Abstract
Item does not contain fulltext, KIF1A is a neuron-specific motor protein that plays important roles in cargo transport along neurites. Recessive mutations in KIF1A were previously described in families with spastic paraparesis or sensory and autonomic neuropathy type-2. Here, we report 11 heterozygous de novo missense mutations (p.S58L, p.T99M, p.G102D, p.V144F, p.R167C, p.A202P, p.S215R, p.R216P, p.L249Q, p.E253K, and p.R316W) in KIF1A in 14 individuals, including two monozygotic twins. Two mutations (p.T99M and p.E253K) were recurrent, each being found in unrelated cases. All these de novo mutations are located in the motor domain (MD) of KIF1A. Structural modeling revealed that they alter conserved residues that are critical for the structure and function of the MD. Transfection studies suggested that at least five of these mutations affect the transport of the MD along axons. Individuals with de novo mutations in KIF1A display a phenotype characterized by cognitive impairment and variable presence of cerebellar atrophy, spastic paraparesis, optic nerve atrophy, peripheral neuropathy, and epilepsy. Our findings thus indicate that de novo missense mutations in the MD of KIF1A cause a phenotype that overlaps with, while being more severe, than that associated with recessive mutations in the same gene.
- Published
- 2015
27. A dcm study of spectral asymmetries in feedforward and feedback connections between visual areas v1 and v4 in the monkey
- Author
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Bastos, A.M., Litvak, V., Moran, R., Bosman, C.A., Fries, P., Friston, K.J., Bastos, A.M., Litvak, V., Moran, R., Bosman, C.A., Fries, P., and Friston, K.J.
- Abstract
Contains fulltext : 140013.pdf (Publisher’s version ) (Open Access)
- Published
- 2015
28. De novo mutations in the motor domain of KIF1A cause cognitive impairment, spastic paraparesis, axonal neuropathy, and cerebellar atrophy
- Author
-
Lee, J.R., Srour, M., Kim, D., Hamdan, F.F., Lim, S.H., Brunel-Guitton, C., Decarie, J.C., Rossignol, E., Mitchell, G.A., Schreiber, A., Moran, R., Haren, K. van, Richardson, R., Nicolai, J., Oberndorff, K.M., Wagner, J.D., Boycott, K.M., Rahikkala, E., Junna, N., Tyynismaa, H., Cuppen, I., Verbeek, N.E., Stumpel, C.T., Willemsen, M.A., Munnik, S.A. de, Rouleau, G.A., Kim, E., Kamsteeg, E.J., Kleefstra, T., Michaud, J.L., Lee, J.R., Srour, M., Kim, D., Hamdan, F.F., Lim, S.H., Brunel-Guitton, C., Decarie, J.C., Rossignol, E., Mitchell, G.A., Schreiber, A., Moran, R., Haren, K. van, Richardson, R., Nicolai, J., Oberndorff, K.M., Wagner, J.D., Boycott, K.M., Rahikkala, E., Junna, N., Tyynismaa, H., Cuppen, I., Verbeek, N.E., Stumpel, C.T., Willemsen, M.A., Munnik, S.A. de, Rouleau, G.A., Kim, E., Kamsteeg, E.J., Kleefstra, T., and Michaud, J.L.
- Abstract
Item does not contain fulltext, KIF1A is a neuron-specific motor protein that plays important roles in cargo transport along neurites. Recessive mutations in KIF1A were previously described in families with spastic paraparesis or sensory and autonomic neuropathy type-2. Here, we report 11 heterozygous de novo missense mutations (p.S58L, p.T99M, p.G102D, p.V144F, p.R167C, p.A202P, p.S215R, p.R216P, p.L249Q, p.E253K, and p.R316W) in KIF1A in 14 individuals, including two monozygotic twins. Two mutations (p.T99M and p.E253K) were recurrent, each being found in unrelated cases. All these de novo mutations are located in the motor domain (MD) of KIF1A. Structural modeling revealed that they alter conserved residues that are critical for the structure and function of the MD. Transfection studies suggested that at least five of these mutations affect the transport of the MD along axons. Individuals with de novo mutations in KIF1A display a phenotype characterized by cognitive impairment and variable presence of cerebellar atrophy, spastic paraparesis, optic nerve atrophy, peripheral neuropathy, and epilepsy. Our findings thus indicate that de novo missense mutations in the MD of KIF1A cause a phenotype that overlaps with, while being more severe, than that associated with recessive mutations in the same gene.
- Published
- 2015
29. De novo mutations in the motor domain of KIF1A cause cognitive impairment, spastic paraparesis, axonal neuropathy, and cerebellar atrophy
- Author
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Lee, J.R., Srour, M., Kim, D., Hamdan, F.F., Lim, S.H., Brunel-Guitton, C., Decarie, J.C., Rossignol, E., Mitchell, G.A., Schreiber, A., Moran, R., Haren, K. van, Richardson, R., Nicolai, J., Oberndorff, K.M., Wagner, J.D., Boycott, K.M., Rahikkala, E., Junna, N., Tyynismaa, H., Cuppen, I., Verbeek, N.E., Stumpel, C.T., Willemsen, M.A., Munnik, S.A. de, Rouleau, G.A., Kim, E., Kamsteeg, E.J., Kleefstra, T., Michaud, J.L., Lee, J.R., Srour, M., Kim, D., Hamdan, F.F., Lim, S.H., Brunel-Guitton, C., Decarie, J.C., Rossignol, E., Mitchell, G.A., Schreiber, A., Moran, R., Haren, K. van, Richardson, R., Nicolai, J., Oberndorff, K.M., Wagner, J.D., Boycott, K.M., Rahikkala, E., Junna, N., Tyynismaa, H., Cuppen, I., Verbeek, N.E., Stumpel, C.T., Willemsen, M.A., Munnik, S.A. de, Rouleau, G.A., Kim, E., Kamsteeg, E.J., Kleefstra, T., and Michaud, J.L.
- Abstract
Item does not contain fulltext, KIF1A is a neuron-specific motor protein that plays important roles in cargo transport along neurites. Recessive mutations in KIF1A were previously described in families with spastic paraparesis or sensory and autonomic neuropathy type-2. Here, we report 11 heterozygous de novo missense mutations (p.S58L, p.T99M, p.G102D, p.V144F, p.R167C, p.A202P, p.S215R, p.R216P, p.L249Q, p.E253K, and p.R316W) in KIF1A in 14 individuals, including two monozygotic twins. Two mutations (p.T99M and p.E253K) were recurrent, each being found in unrelated cases. All these de novo mutations are located in the motor domain (MD) of KIF1A. Structural modeling revealed that they alter conserved residues that are critical for the structure and function of the MD. Transfection studies suggested that at least five of these mutations affect the transport of the MD along axons. Individuals with de novo mutations in KIF1A display a phenotype characterized by cognitive impairment and variable presence of cerebellar atrophy, spastic paraparesis, optic nerve atrophy, peripheral neuropathy, and epilepsy. Our findings thus indicate that de novo missense mutations in the MD of KIF1A cause a phenotype that overlaps with, while being more severe, than that associated with recessive mutations in the same gene.
- Published
- 2015
30. Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station
- Author
-
Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., Schwank, M., Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., and Schwank, M.
- Abstract
Revista oficial de la Asociación Española de Teledetección, [EN] The Soil Moisture and Ocean Salinity (SMOS) mission was launched on 2nd November 2009 with the objective of providing global estimations of soil moisture and sea salinity. The main activity of the Valencia Anchor Station (VAS) is currently to assist in a long-term validation of SMOS land products. This study focus on a level 3 SMOS data validation with in situ measurements carried out in the period 2010-2012 over the VAS. ELBARA-II radiometer is placed in the VAS area, observing a vineyard field considered as representative of a major proportion of an area of 50×50 km, enough to cover a SMOS footprint. Brightness temperatures (TB) acquired by ELBARA-II have been compared to those observed by SMOS at the same dates and time. They were also used for the L-MEB model inversion to retrieve soil moisture (SM), which later on have been compared to those provided by SMOS as level 3 data. A good correlation between both TB datasets was found, improving year by year, mainly due to the decrease of precipitations in the analyzed period and the mitigation of radio frequency interferences at L-band. The larger homogeneity of the radiometer footprint as compared to SMOS explains the higher variability of its TB. Periods of more intense precipitation (spring and autumn) also presented higher SM, which corroborates the consistency of SM retrieved from ELBARA-II’s observations. However, the results show that SMOS level 3 data underestimate SM as compared to ELBARA-II’s, probably due to the influence of the small soil fraction which is not cultivated in vineyards. SMOS estimations in descending orbit (6 pm) had better quality (higher correlation, lower RMSE and bias) than the ones in ascending orbit (6 am, when there is a higher soil moisture). Guardar / Salir Siguiente >, [ES] La misión de SMOS (Soil Moisture and Ocean Salinity) se lanzó el 2 de Noviembre de 2009 con el objetivo de proporcionar datos de humedad del suelo y salinidad del mar. La principal actividad de la conocida como Valencia Anchor Station(VAS) es asistir en la validación a largo plazo de productos de suelo de SMOS. El presente estudio se centra en una validación de datos de nivel 3 de SMOS en la VAS con medidas in situ tomadas en el periodo 2010-2012. El radiómetro ELBARA-II está situado dentro de los confines de la VAS, observando un campo de viñedos que se con-sidera representativo de una gran proporción de un área de 50×50 km, suficiente para cubrir un footprint de SMOS. Las temperaturas de brillo (TB) adquiridas por ELBARA-II se compararon con las observadas por SMOS en las mismas fechas y horas. También se utilizó la inversión del modelo L-MEB con el fin de obtener humedades de suelo (SM) que, posteriormente, se compararon con datos de nivel 3 de SMOS. Se ha encontrado una buena correlación entre ambas series de TB, con mejoras año tras año, achacable fundamentalmente a la disminución de precipitaciones en el perio-do objeto de estudio y a la mitigación de las interferencias por radiofrecuencia en banda L. La mayor homogeneidad del footprintdel radiómetro ELBARA-II frente al de SMOS explica la mayor variabilidad de sus TB. Los periodos de preci-pitación más intensa (primavera y otoño) también son de mayor SM, lo que corrobora la consistencia de los resultados de SM simulados a través de las observaciones del radiómetro. Sin embargo, se debe resaltar una subestimación por parte de SMOS de los valores de SM respecto a los obtenidos por ELBARA-II, presumiblemente debido a la influencia que la pequeña fracción de suelo no destinado al cultivo de la vid tiene sobre SMOS. Las estimaciones por parte de SMOS en órbita descendente (6 p.m.) resultaron de mayor calidad (mayor correlación y menores RMSE y bias) que en órbita ascendente (6 a.m., momento de mayor humedad de
- Published
- 2015
31. Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station
- Author
-
Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., Schwank, M., Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., and Schwank, M.
- Abstract
Revista oficial de la Asociación Española de Teledetección, [EN] The Soil Moisture and Ocean Salinity (SMOS) mission was launched on 2nd November 2009 with the objective of providing global estimations of soil moisture and sea salinity. The main activity of the Valencia Anchor Station (VAS) is currently to assist in a long-term validation of SMOS land products. This study focus on a level 3 SMOS data validation with in situ measurements carried out in the period 2010-2012 over the VAS. ELBARA-II radiometer is placed in the VAS area, observing a vineyard field considered as representative of a major proportion of an area of 50×50 km, enough to cover a SMOS footprint. Brightness temperatures (TB) acquired by ELBARA-II have been compared to those observed by SMOS at the same dates and time. They were also used for the L-MEB model inversion to retrieve soil moisture (SM), which later on have been compared to those provided by SMOS as level 3 data. A good correlation between both TB datasets was found, improving year by year, mainly due to the decrease of precipitations in the analyzed period and the mitigation of radio frequency interferences at L-band. The larger homogeneity of the radiometer footprint as compared to SMOS explains the higher variability of its TB. Periods of more intense precipitation (spring and autumn) also presented higher SM, which corroborates the consistency of SM retrieved from ELBARA-II’s observations. However, the results show that SMOS level 3 data underestimate SM as compared to ELBARA-II’s, probably due to the influence of the small soil fraction which is not cultivated in vineyards. SMOS estimations in descending orbit (6 pm) had better quality (higher correlation, lower RMSE and bias) than the ones in ascending orbit (6 am, when there is a higher soil moisture). Guardar / Salir Siguiente >, [ES] La misión de SMOS (Soil Moisture and Ocean Salinity) se lanzó el 2 de Noviembre de 2009 con el objetivo de proporcionar datos de humedad del suelo y salinidad del mar. La principal actividad de la conocida como Valencia Anchor Station(VAS) es asistir en la validación a largo plazo de productos de suelo de SMOS. El presente estudio se centra en una validación de datos de nivel 3 de SMOS en la VAS con medidas in situ tomadas en el periodo 2010-2012. El radiómetro ELBARA-II está situado dentro de los confines de la VAS, observando un campo de viñedos que se con-sidera representativo de una gran proporción de un área de 50×50 km, suficiente para cubrir un footprint de SMOS. Las temperaturas de brillo (TB) adquiridas por ELBARA-II se compararon con las observadas por SMOS en las mismas fechas y horas. También se utilizó la inversión del modelo L-MEB con el fin de obtener humedades de suelo (SM) que, posteriormente, se compararon con datos de nivel 3 de SMOS. Se ha encontrado una buena correlación entre ambas series de TB, con mejoras año tras año, achacable fundamentalmente a la disminución de precipitaciones en el perio-do objeto de estudio y a la mitigación de las interferencias por radiofrecuencia en banda L. La mayor homogeneidad del footprintdel radiómetro ELBARA-II frente al de SMOS explica la mayor variabilidad de sus TB. Los periodos de preci-pitación más intensa (primavera y otoño) también son de mayor SM, lo que corrobora la consistencia de los resultados de SM simulados a través de las observaciones del radiómetro. Sin embargo, se debe resaltar una subestimación por parte de SMOS de los valores de SM respecto a los obtenidos por ELBARA-II, presumiblemente debido a la influencia que la pequeña fracción de suelo no destinado al cultivo de la vid tiene sobre SMOS. Las estimaciones por parte de SMOS en órbita descendente (6 p.m.) resultaron de mayor calidad (mayor correlación y menores RMSE y bias) que en órbita ascendente (6 a.m., momento de mayor humedad de
- Published
- 2015
32. Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station
- Author
-
Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., Schwank, M., Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., and Schwank, M.
- Abstract
Revista oficial de la Asociación Española de Teledetección, [EN] The Soil Moisture and Ocean Salinity (SMOS) mission was launched on 2nd November 2009 with the objective of providing global estimations of soil moisture and sea salinity. The main activity of the Valencia Anchor Station (VAS) is currently to assist in a long-term validation of SMOS land products. This study focus on a level 3 SMOS data validation with in situ measurements carried out in the period 2010-2012 over the VAS. ELBARA-II radiometer is placed in the VAS area, observing a vineyard field considered as representative of a major proportion of an area of 50×50 km, enough to cover a SMOS footprint. Brightness temperatures (TB) acquired by ELBARA-II have been compared to those observed by SMOS at the same dates and time. They were also used for the L-MEB model inversion to retrieve soil moisture (SM), which later on have been compared to those provided by SMOS as level 3 data. A good correlation between both TB datasets was found, improving year by year, mainly due to the decrease of precipitations in the analyzed period and the mitigation of radio frequency interferences at L-band. The larger homogeneity of the radiometer footprint as compared to SMOS explains the higher variability of its TB. Periods of more intense precipitation (spring and autumn) also presented higher SM, which corroborates the consistency of SM retrieved from ELBARA-II’s observations. However, the results show that SMOS level 3 data underestimate SM as compared to ELBARA-II’s, probably due to the influence of the small soil fraction which is not cultivated in vineyards. SMOS estimations in descending orbit (6 pm) had better quality (higher correlation, lower RMSE and bias) than the ones in ascending orbit (6 am, when there is a higher soil moisture). Guardar / Salir Siguiente >, [ES] La misión de SMOS (Soil Moisture and Ocean Salinity) se lanzó el 2 de Noviembre de 2009 con el objetivo de proporcionar datos de humedad del suelo y salinidad del mar. La principal actividad de la conocida como Valencia Anchor Station(VAS) es asistir en la validación a largo plazo de productos de suelo de SMOS. El presente estudio se centra en una validación de datos de nivel 3 de SMOS en la VAS con medidas in situ tomadas en el periodo 2010-2012. El radiómetro ELBARA-II está situado dentro de los confines de la VAS, observando un campo de viñedos que se con-sidera representativo de una gran proporción de un área de 50×50 km, suficiente para cubrir un footprint de SMOS. Las temperaturas de brillo (TB) adquiridas por ELBARA-II se compararon con las observadas por SMOS en las mismas fechas y horas. También se utilizó la inversión del modelo L-MEB con el fin de obtener humedades de suelo (SM) que, posteriormente, se compararon con datos de nivel 3 de SMOS. Se ha encontrado una buena correlación entre ambas series de TB, con mejoras año tras año, achacable fundamentalmente a la disminución de precipitaciones en el perio-do objeto de estudio y a la mitigación de las interferencias por radiofrecuencia en banda L. La mayor homogeneidad del footprintdel radiómetro ELBARA-II frente al de SMOS explica la mayor variabilidad de sus TB. Los periodos de preci-pitación más intensa (primavera y otoño) también son de mayor SM, lo que corrobora la consistencia de los resultados de SM simulados a través de las observaciones del radiómetro. Sin embargo, se debe resaltar una subestimación por parte de SMOS de los valores de SM respecto a los obtenidos por ELBARA-II, presumiblemente debido a la influencia que la pequeña fracción de suelo no destinado al cultivo de la vid tiene sobre SMOS. Las estimaciones por parte de SMOS en órbita descendente (6 p.m.) resultaron de mayor calidad (mayor correlación y menores RMSE y bias) que en órbita ascendente (6 a.m., momento de mayor humedad de
- Published
- 2015
33. Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station
- Author
-
Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., Schwank, M., Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., and Schwank, M.
- Abstract
Revista oficial de la Asociación Española de Teledetección, [EN] The Soil Moisture and Ocean Salinity (SMOS) mission was launched on 2nd November 2009 with the objective of providing global estimations of soil moisture and sea salinity. The main activity of the Valencia Anchor Station (VAS) is currently to assist in a long-term validation of SMOS land products. This study focus on a level 3 SMOS data validation with in situ measurements carried out in the period 2010-2012 over the VAS. ELBARA-II radiometer is placed in the VAS area, observing a vineyard field considered as representative of a major proportion of an area of 50×50 km, enough to cover a SMOS footprint. Brightness temperatures (TB) acquired by ELBARA-II have been compared to those observed by SMOS at the same dates and time. They were also used for the L-MEB model inversion to retrieve soil moisture (SM), which later on have been compared to those provided by SMOS as level 3 data. A good correlation between both TB datasets was found, improving year by year, mainly due to the decrease of precipitations in the analyzed period and the mitigation of radio frequency interferences at L-band. The larger homogeneity of the radiometer footprint as compared to SMOS explains the higher variability of its TB. Periods of more intense precipitation (spring and autumn) also presented higher SM, which corroborates the consistency of SM retrieved from ELBARA-II’s observations. However, the results show that SMOS level 3 data underestimate SM as compared to ELBARA-II’s, probably due to the influence of the small soil fraction which is not cultivated in vineyards. SMOS estimations in descending orbit (6 pm) had better quality (higher correlation, lower RMSE and bias) than the ones in ascending orbit (6 am, when there is a higher soil moisture). Guardar / Salir Siguiente >, [ES] La misión de SMOS (Soil Moisture and Ocean Salinity) se lanzó el 2 de Noviembre de 2009 con el objetivo de proporcionar datos de humedad del suelo y salinidad del mar. La principal actividad de la conocida como Valencia Anchor Station(VAS) es asistir en la validación a largo plazo de productos de suelo de SMOS. El presente estudio se centra en una validación de datos de nivel 3 de SMOS en la VAS con medidas in situ tomadas en el periodo 2010-2012. El radiómetro ELBARA-II está situado dentro de los confines de la VAS, observando un campo de viñedos que se con-sidera representativo de una gran proporción de un área de 50×50 km, suficiente para cubrir un footprint de SMOS. Las temperaturas de brillo (TB) adquiridas por ELBARA-II se compararon con las observadas por SMOS en las mismas fechas y horas. También se utilizó la inversión del modelo L-MEB con el fin de obtener humedades de suelo (SM) que, posteriormente, se compararon con datos de nivel 3 de SMOS. Se ha encontrado una buena correlación entre ambas series de TB, con mejoras año tras año, achacable fundamentalmente a la disminución de precipitaciones en el perio-do objeto de estudio y a la mitigación de las interferencias por radiofrecuencia en banda L. La mayor homogeneidad del footprintdel radiómetro ELBARA-II frente al de SMOS explica la mayor variabilidad de sus TB. Los periodos de preci-pitación más intensa (primavera y otoño) también son de mayor SM, lo que corrobora la consistencia de los resultados de SM simulados a través de las observaciones del radiómetro. Sin embargo, se debe resaltar una subestimación por parte de SMOS de los valores de SM respecto a los obtenidos por ELBARA-II, presumiblemente debido a la influencia que la pequeña fracción de suelo no destinado al cultivo de la vid tiene sobre SMOS. Las estimaciones por parte de SMOS en órbita descendente (6 p.m.) resultaron de mayor calidad (mayor correlación y menores RMSE y bias) que en órbita ascendente (6 a.m., momento de mayor humedad de
- Published
- 2015
34. Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station
- Author
-
Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., Schwank, M., Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., and Schwank, M.
- Abstract
Revista oficial de la Asociación Española de Teledetección, [EN] The Soil Moisture and Ocean Salinity (SMOS) mission was launched on 2nd November 2009 with the objective of providing global estimations of soil moisture and sea salinity. The main activity of the Valencia Anchor Station (VAS) is currently to assist in a long-term validation of SMOS land products. This study focus on a level 3 SMOS data validation with in situ measurements carried out in the period 2010-2012 over the VAS. ELBARA-II radiometer is placed in the VAS area, observing a vineyard field considered as representative of a major proportion of an area of 50×50 km, enough to cover a SMOS footprint. Brightness temperatures (TB) acquired by ELBARA-II have been compared to those observed by SMOS at the same dates and time. They were also used for the L-MEB model inversion to retrieve soil moisture (SM), which later on have been compared to those provided by SMOS as level 3 data. A good correlation between both TB datasets was found, improving year by year, mainly due to the decrease of precipitations in the analyzed period and the mitigation of radio frequency interferences at L-band. The larger homogeneity of the radiometer footprint as compared to SMOS explains the higher variability of its TB. Periods of more intense precipitation (spring and autumn) also presented higher SM, which corroborates the consistency of SM retrieved from ELBARA-II’s observations. However, the results show that SMOS level 3 data underestimate SM as compared to ELBARA-II’s, probably due to the influence of the small soil fraction which is not cultivated in vineyards. SMOS estimations in descending orbit (6 pm) had better quality (higher correlation, lower RMSE and bias) than the ones in ascending orbit (6 am, when there is a higher soil moisture). Guardar / Salir Siguiente >, [ES] La misión de SMOS (Soil Moisture and Ocean Salinity) se lanzó el 2 de Noviembre de 2009 con el objetivo de proporcionar datos de humedad del suelo y salinidad del mar. La principal actividad de la conocida como Valencia Anchor Station(VAS) es asistir en la validación a largo plazo de productos de suelo de SMOS. El presente estudio se centra en una validación de datos de nivel 3 de SMOS en la VAS con medidas in situ tomadas en el periodo 2010-2012. El radiómetro ELBARA-II está situado dentro de los confines de la VAS, observando un campo de viñedos que se con-sidera representativo de una gran proporción de un área de 50×50 km, suficiente para cubrir un footprint de SMOS. Las temperaturas de brillo (TB) adquiridas por ELBARA-II se compararon con las observadas por SMOS en las mismas fechas y horas. También se utilizó la inversión del modelo L-MEB con el fin de obtener humedades de suelo (SM) que, posteriormente, se compararon con datos de nivel 3 de SMOS. Se ha encontrado una buena correlación entre ambas series de TB, con mejoras año tras año, achacable fundamentalmente a la disminución de precipitaciones en el perio-do objeto de estudio y a la mitigación de las interferencias por radiofrecuencia en banda L. La mayor homogeneidad del footprintdel radiómetro ELBARA-II frente al de SMOS explica la mayor variabilidad de sus TB. Los periodos de preci-pitación más intensa (primavera y otoño) también son de mayor SM, lo que corrobora la consistencia de los resultados de SM simulados a través de las observaciones del radiómetro. Sin embargo, se debe resaltar una subestimación por parte de SMOS de los valores de SM respecto a los obtenidos por ELBARA-II, presumiblemente debido a la influencia que la pequeña fracción de suelo no destinado al cultivo de la vid tiene sobre SMOS. Las estimaciones por parte de SMOS en órbita descendente (6 p.m.) resultaron de mayor calidad (mayor correlación y menores RMSE y bias) que en órbita ascendente (6 a.m., momento de mayor humedad de
- Published
- 2015
35. Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station
- Author
-
Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., Schwank, M., Ministerio de Economía y Competitividad, Fernandez-Moran, R., Wigneron, J. P., López-Baeza, E., Miernecki, M., Salgado-Hernanz, P., Coll, M.A., Kerr, Y. H., and Schwank, M.
- Abstract
Revista oficial de la Asociación Española de Teledetección, [EN] The Soil Moisture and Ocean Salinity (SMOS) mission was launched on 2nd November 2009 with the objective of providing global estimations of soil moisture and sea salinity. The main activity of the Valencia Anchor Station (VAS) is currently to assist in a long-term validation of SMOS land products. This study focus on a level 3 SMOS data validation with in situ measurements carried out in the period 2010-2012 over the VAS. ELBARA-II radiometer is placed in the VAS area, observing a vineyard field considered as representative of a major proportion of an area of 50×50 km, enough to cover a SMOS footprint. Brightness temperatures (TB) acquired by ELBARA-II have been compared to those observed by SMOS at the same dates and time. They were also used for the L-MEB model inversion to retrieve soil moisture (SM), which later on have been compared to those provided by SMOS as level 3 data. A good correlation between both TB datasets was found, improving year by year, mainly due to the decrease of precipitations in the analyzed period and the mitigation of radio frequency interferences at L-band. The larger homogeneity of the radiometer footprint as compared to SMOS explains the higher variability of its TB. Periods of more intense precipitation (spring and autumn) also presented higher SM, which corroborates the consistency of SM retrieved from ELBARA-II’s observations. However, the results show that SMOS level 3 data underestimate SM as compared to ELBARA-II’s, probably due to the influence of the small soil fraction which is not cultivated in vineyards. SMOS estimations in descending orbit (6 pm) had better quality (higher correlation, lower RMSE and bias) than the ones in ascending orbit (6 am, when there is a higher soil moisture). Guardar / Salir Siguiente >, [ES] La misión de SMOS (Soil Moisture and Ocean Salinity) se lanzó el 2 de Noviembre de 2009 con el objetivo de proporcionar datos de humedad del suelo y salinidad del mar. La principal actividad de la conocida como Valencia Anchor Station(VAS) es asistir en la validación a largo plazo de productos de suelo de SMOS. El presente estudio se centra en una validación de datos de nivel 3 de SMOS en la VAS con medidas in situ tomadas en el periodo 2010-2012. El radiómetro ELBARA-II está situado dentro de los confines de la VAS, observando un campo de viñedos que se con-sidera representativo de una gran proporción de un área de 50×50 km, suficiente para cubrir un footprint de SMOS. Las temperaturas de brillo (TB) adquiridas por ELBARA-II se compararon con las observadas por SMOS en las mismas fechas y horas. También se utilizó la inversión del modelo L-MEB con el fin de obtener humedades de suelo (SM) que, posteriormente, se compararon con datos de nivel 3 de SMOS. Se ha encontrado una buena correlación entre ambas series de TB, con mejoras año tras año, achacable fundamentalmente a la disminución de precipitaciones en el perio-do objeto de estudio y a la mitigación de las interferencias por radiofrecuencia en banda L. La mayor homogeneidad del footprintdel radiómetro ELBARA-II frente al de SMOS explica la mayor variabilidad de sus TB. Los periodos de preci-pitación más intensa (primavera y otoño) también son de mayor SM, lo que corrobora la consistencia de los resultados de SM simulados a través de las observaciones del radiómetro. Sin embargo, se debe resaltar una subestimación por parte de SMOS de los valores de SM respecto a los obtenidos por ELBARA-II, presumiblemente debido a la influencia que la pequeña fracción de suelo no destinado al cultivo de la vid tiene sobre SMOS. Las estimaciones por parte de SMOS en órbita descendente (6 p.m.) resultaron de mayor calidad (mayor correlación y menores RMSE y bias) que en órbita ascendente (6 a.m., momento de mayor humedad de
- Published
- 2015
36. The Spread of Influenza A(H1N1) pdm09 in Victorian School Children in 2009: Implications for Revised Pandemic Planning
- Author
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Nishiura, H, Fielding, JE, Bergeri, I, Higgins, N, Kelly, HA, Meagher, J, McBryde, ES, Moran, R, Hellard, ME, Lester, RA, Nishiura, H, Fielding, JE, Bergeri, I, Higgins, N, Kelly, HA, Meagher, J, McBryde, ES, Moran, R, Hellard, ME, and Lester, RA
- Abstract
BACKGROUND: Victoria was the first state in Australia to experience community transmission of influenza A(H1N1)pdm09. We undertook a descriptive epidemiological analysis of the first 1,000 notified cases to describe the epidemic associated with school children and explore implications for school closure and antiviral distribution policy in revised pandemic plans. METHODS: Records of the first 1,000 laboratory-confirmed cases of influenza A(H1N1)pdm09 notified to the Victorian Government Department of Health between 20 May and 5 June 2009 were extracted from the state's notifiable infectious diseases database. Descriptive analyses were conducted on case demographics, symptoms, case treatment, prophylaxis of contacts and distribution of cases in schools. RESULTS: Two-thirds of the first 1,000 cases were school-aged (5-17 years) with cases in 203 schools, particularly along the north and western peripheries of the metropolitan area. Cases in one school accounted for nearly 8% of all cases but the school was not closed until nine days after symptom onset of the first identified case. Amongst all cases, cough (85%) was the most commonly reported symptom followed by fever (68%) although this was significantly higher in primary school children (76%). The risk of hospitalisation was 2%. The median time between illness onset and notification of laboratory confirmation was four days, with only 10% of cases notified within two days of onset and thus eligible for oseltamivir treatment. Nearly 6,000 contacts were followed up for prophylaxis. CONCLUSIONS: With a generally mild clinical course and widespread transmission before its detection, limited and short-term school closures appeared to have minimal impact on influenza A(H1N1)pdm09 transmission. Antiviral treatment could rarely be delivered to cases within 48 hours of symptom onset. These scenarios and lessons learned from them need to be incorporated into revisions of pandemic plans.
- Published
- 2013
37. Free energy, precision and learning: the role of cholinergic neuromodulation
- Author
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Moran, R J, Campo, P, Symmonds, M, Stephan, K E, Dolan, R J, Friston, K J, Moran, R J, Campo, P, Symmonds, M, Stephan, K E, Dolan, R J, and Friston, K J
- Abstract
Acetylcholine (ACh) is a neuromodulatory transmitter implicated in perception and learning under uncertainty. This study combined computational simulations and pharmaco-electroencephalography in humans, to test a formulation of perceptual inference based upon the free energy principle. This formulation suggests that ACh enhances the precision of bottom-up synaptic transmission in cortical hierarchies by optimizing the gain of supragranular pyramidal cells. Simulations of a mismatch negativity paradigm predicted a rapid trial-by-trial suppression of evoked sensory prediction error (PE) responses that is attenuated by cholinergic neuromodulation. We confirmed this prediction empirically with a placebo-controlled study of cholinesterase inhibition. Furthermore, using dynamic causal modeling, we found that drug-induced differences in PE responses could be explained by gain modulation in supragranular pyramidal cells in primary sensory cortex. This suggests that ACh adaptively enhances sensory precision by boosting bottom-up signaling when stimuli are predictable, enabling the brain to respond optimally under different levels of environmental uncertainty.
- Published
- 2013
38. Phosphoribosylpyrophosphate synthetase superactivity and recurrent infections is caused by a p.Val142Leu mutation in PRS-I.
- Author
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Moran, R., Kuilenburg, A.B.P. van, Duley, J., Nabuurs, S.B., Retno-Fitri, A., Christodoulou, J., Roelofsen, J., Yntema, H.G., Friedman, N.R., Bokhoven, J.H.L.M. van, Brouwer, A.P.M. de, Moran, R., Kuilenburg, A.B.P. van, Duley, J., Nabuurs, S.B., Retno-Fitri, A., Christodoulou, J., Roelofsen, J., Yntema, H.G., Friedman, N.R., Bokhoven, J.H.L.M. van, and Brouwer, A.P.M. de
- Abstract
1 februari 2012, Item does not contain fulltext, We identified a novel missense mutation, c.424G>C (p.Val142Leu) in PRPS1 in a patient with uric acid overproduction without gout but with developmental delay, hypotonia, hearing loss, and recurrent respiratory infections. The uric acid overproduction accompanying this combination of symptoms suggests that the patient presented with phosphoribosylpyrophosphate (PRPP) synthetase superactivity, but recurrent infections have not been associated with superactivity until now. However, recurrent infections are a prominent feature of patients with Arts syndrome, which is caused by PRPS1 loss-of-function mutations, indicating that the patient reported here has an intermediate phenotype. Molecular modeling predicts that the p.Val142Leu change affects both allosteric sites that are involved in inhibition of PRPS1 and the ATP-binding site, which suggests that this substitution can result both in a gain-of-function and loss-of-function of PRPP synthetase. This finding is in line with the normal PRPP synthetase activity in fibroblasts and the absence of activity in erythrocytes of the present patient. We postulate that the overall effect of the p.Val142Leu change on protein activity is determined by the cell type, being a gain-of-function in proliferating cells and a loss-of-function in postmitotic cells. Our results show that missense mutations in PRPS1 can cause a continuous spectrum of features ranging from progressive non-syndromic postlingual hearing impairment to uric acid overproduction, neuropathy, and recurrent infections depending on the functional sites that are affected.
- Published
- 2012
39. Personal protective equipment and antiviral drug use during hospitalization for suspected avian or pandemic influenza.
- Author
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Moran R., O'Reilly M., Peters S.E., Grayson M.L., Stuart R.L., Swaminathan A., Martin R., Gamon S., Aboltins C., Athan E., Braitberg G., Catton M.G., Cooley L., Dwyer D.E., Edmonds D., Eisen D.P., Hosking K., Hughes A.J., Johnson P.D., Maclean A.V., Moran R., O'Reilly M., Peters S.E., Grayson M.L., Stuart R.L., Swaminathan A., Martin R., Gamon S., Aboltins C., Athan E., Braitberg G., Catton M.G., Cooley L., Dwyer D.E., Edmonds D., Eisen D.P., Hosking K., Hughes A.J., Johnson P.D., and Maclean A.V.
- Abstract
For pandemic influenza planning, realistic estimates of personal protective equipment (PPE) and antiviral medication required for hospital healthcare workers (HCWs) are vital. In this simulation study, a patient with suspected avian or pandemic influenza (API) sought treatment at 9 Australian hospital emergency departments where patient-staff interactions during the first 6 hours of hospitalization were observed. Based on World Health Organization definitions and guidelines, the mean number of "close contacts" of the API patient was 12.3 (range 6-17; 85% HCWs); mean "exposures" were 19.3 (range 15-26). Overall, 20-25 PPE sets were required per patient, with variable HCW compliance for wearing these items (93% N95 masks, 77% gowns, 83% gloves, and 73% eye protection). Up to 41% of HCW close contacts would have qualified for postexposure antiviral prophylaxis. These data indicate that many current national stockpiles of PPE and antiviral medication are likely inadequate for a pandemic.
- Published
- 2012
40. Personal protective equipment and antiviral drug use during hospitalization for suspected avian or pandemic influenza.
- Author
-
Moran R., O'Reilly M., Peters S.E., Grayson M.L., Stuart R.L., Swaminathan A., Martin R., Gamon S., Aboltins C., Athan E., Braitberg G., Catton M.G., Cooley L., Dwyer D.E., Edmonds D., Eisen D.P., Hosking K., Hughes A.J., Johnson P.D., Maclean A.V., Moran R., O'Reilly M., Peters S.E., Grayson M.L., Stuart R.L., Swaminathan A., Martin R., Gamon S., Aboltins C., Athan E., Braitberg G., Catton M.G., Cooley L., Dwyer D.E., Edmonds D., Eisen D.P., Hosking K., Hughes A.J., Johnson P.D., and Maclean A.V.
- Abstract
For pandemic influenza planning, realistic estimates of personal protective equipment (PPE) and antiviral medication required for hospital healthcare workers (HCWs) are vital. In this simulation study, a patient with suspected avian or pandemic influenza (API) sought treatment at 9 Australian hospital emergency departments where patient-staff interactions during the first 6 hours of hospitalization were observed. Based on World Health Organization definitions and guidelines, the mean number of "close contacts" of the API patient was 12.3 (range 6-17; 85% HCWs); mean "exposures" were 19.3 (range 15-26). Overall, 20-25 PPE sets were required per patient, with variable HCW compliance for wearing these items (93% N95 masks, 77% gowns, 83% gloves, and 73% eye protection). Up to 41% of HCW close contacts would have qualified for postexposure antiviral prophylaxis. These data indicate that many current national stockpiles of PPE and antiviral medication are likely inadequate for a pandemic.
- Published
- 2012
41. Phosphoribosylpyrophosphate synthetase superactivity and recurrent infections is caused by a p.Val142Leu mutation in PRS-I.
- Author
-
Moran, R., Kuilenburg, A.B.P. van, Duley, J., Nabuurs, S.B., Retno-Fitri, A., Christodoulou, J., Roelofsen, J., Yntema, H.G., Friedman, N.R., Bokhoven, J.H.L.M. van, Brouwer, A.P.M. de, Moran, R., Kuilenburg, A.B.P. van, Duley, J., Nabuurs, S.B., Retno-Fitri, A., Christodoulou, J., Roelofsen, J., Yntema, H.G., Friedman, N.R., Bokhoven, J.H.L.M. van, and Brouwer, A.P.M. de
- Abstract
01 februari 2012, Item does not contain fulltext, We identified a novel missense mutation, c.424G>C (p.Val142Leu) in PRPS1 in a patient with uric acid overproduction without gout but with developmental delay, hypotonia, hearing loss, and recurrent respiratory infections. The uric acid overproduction accompanying this combination of symptoms suggests that the patient presented with phosphoribosylpyrophosphate (PRPP) synthetase superactivity, but recurrent infections have not been associated with superactivity until now. However, recurrent infections are a prominent feature of patients with Arts syndrome, which is caused by PRPS1 loss-of-function mutations, indicating that the patient reported here has an intermediate phenotype. Molecular modeling predicts that the p.Val142Leu change affects both allosteric sites that are involved in inhibition of PRPS1 and the ATP-binding site, which suggests that this substitution can result both in a gain-of-function and loss-of-function of PRPP synthetase. This finding is in line with the normal PRPP synthetase activity in fibroblasts and the absence of activity in erythrocytes of the present patient. We postulate that the overall effect of the p.Val142Leu change on protein activity is determined by the cell type, being a gain-of-function in proliferating cells and a loss-of-function in postmitotic cells. Our results show that missense mutations in PRPS1 can cause a continuous spectrum of features ranging from progressive non-syndromic postlingual hearing impairment to uric acid overproduction, neuropathy, and recurrent infections depending on the functional sites that are affected.
- Published
- 2012
42. Phosphoribosylpyrophosphate synthetase superactivity and recurrent infections is caused by a p.Val142Leu mutation in PRS-I.
- Author
-
Moran, R., Kuilenburg, A.B.P. van, Duley, J., Nabuurs, S.B., Retno-Fitri, A., Christodoulou, J., Roelofsen, J., Yntema, H.G., Friedman, N.R., Bokhoven, J.H.L.M. van, Brouwer, A.P.M. de, Moran, R., Kuilenburg, A.B.P. van, Duley, J., Nabuurs, S.B., Retno-Fitri, A., Christodoulou, J., Roelofsen, J., Yntema, H.G., Friedman, N.R., Bokhoven, J.H.L.M. van, and Brouwer, A.P.M. de
- Abstract
01 februari 2012, Item does not contain fulltext, We identified a novel missense mutation, c.424G>C (p.Val142Leu) in PRPS1 in a patient with uric acid overproduction without gout but with developmental delay, hypotonia, hearing loss, and recurrent respiratory infections. The uric acid overproduction accompanying this combination of symptoms suggests that the patient presented with phosphoribosylpyrophosphate (PRPP) synthetase superactivity, but recurrent infections have not been associated with superactivity until now. However, recurrent infections are a prominent feature of patients with Arts syndrome, which is caused by PRPS1 loss-of-function mutations, indicating that the patient reported here has an intermediate phenotype. Molecular modeling predicts that the p.Val142Leu change affects both allosteric sites that are involved in inhibition of PRPS1 and the ATP-binding site, which suggests that this substitution can result both in a gain-of-function and loss-of-function of PRPP synthetase. This finding is in line with the normal PRPP synthetase activity in fibroblasts and the absence of activity in erythrocytes of the present patient. We postulate that the overall effect of the p.Val142Leu change on protein activity is determined by the cell type, being a gain-of-function in proliferating cells and a loss-of-function in postmitotic cells. Our results show that missense mutations in PRPS1 can cause a continuous spectrum of features ranging from progressive non-syndromic postlingual hearing impairment to uric acid overproduction, neuropathy, and recurrent infections depending on the functional sites that are affected.
- Published
- 2012
43. Dopamine, affordance and active inference
- Author
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Friston, K J, Shiner, T, FitzGerald, T, Galea, J M, Adams, R, Brown, H, Dolan, R J, Moran, R, Stephan, K E, Bestmann, S, Friston, K J, Shiner, T, FitzGerald, T, Galea, J M, Adams, R, Brown, H, Dolan, R J, Moran, R, Stephan, K E, and Bestmann, S
- Abstract
The role of dopamine in behaviour and decision-making is often cast in terms of reinforcement learning and optimal decision theory. Here, we present an alternative view that frames the physiology of dopamine in terms of Bayes-optimal behaviour. In this account, dopamine controls the precision or salience of (external or internal) cues that engender action. In other words, dopamine balances bottom-up sensory information and top-down prior beliefs when making hierarchical inferences (predictions) about cues that have affordance. In this paper, we focus on the consequences of changing tonic levels of dopamine firing using simulations of cued sequential movements. Crucially, the predictions driving movements are based upon a hierarchical generative model that infers the context in which movements are made. This means that we can confuse agents by changing the context (order) in which cues are presented. These simulations provide a (Bayes-optimal) model of contextual uncertainty and set switching that can be quantified in terms of behavioural and electrophysiological responses. Furthermore, one can simulate dopaminergic lesions (by changing the precision of prediction errors) to produce pathological behaviours that are reminiscent of those seen in neurological disorders such as Parkinson's disease. We use these simulations to demonstrate how a single functional role for dopamine at the synaptic level can manifest in different ways at the behavioural level.
- Published
- 2012
44. Phosphoribosylpyrophosphate synthetase superactivity and recurrent infections is caused by a p.Val142Leu mutation in PRS-I.
- Author
-
Moran, R. and Moran, R.
- Subjects
- IGMD 3: Genomic disorders and inherited multi-system disorders., NCMLS 6: Genetics and epigenetic pathways of disease DCN MP - Plasticity and memory., NCMLS 6: Genetics and epigenetic pathways of disease IGMD 3: Genomic disorders and inherited multi-system disorders., NCMLS 7: Chemical and physical biology.
- Published
- 2012
45. Introduction in: Doing research with refugees
- Author
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Temple, Bogusia, Moran, R, Temple, Bogusia, and Moran, R
- Published
- 2011
46. Introduction in: Doing research with refugees
- Author
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Temple, Bogusia, Moran, R, Temple, Bogusia, and Moran, R
- Published
- 2011
47. Ten simple rules for dynamic causal modeling
- Author
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Stephan, K E, Penny, W D, Moran, R J, den Ouden, H E M, Daunizeau, J, Friston, K J, Stephan, K E, Penny, W D, Moran, R J, den Ouden, H E M, Daunizeau, J, and Friston, K J
- Abstract
Dynamic causal modeling (DCM) is a generic Bayesian framework for inferring hidden neuronal states from measurements of brain activity. It provides posterior estimates of neurobiologically interpretable quantities such as the effective strength of synaptic connections among neuronal populations and their context-dependent modulation. DCM is increasingly used in the analysis of a wide range of neuroimaging and electrophysiological data. Given the relative complexity of DCM, compared to conventional analysis techniques, a good knowledge of its theoretical foundations is needed to avoid pitfalls in its application and interpretation of results. By providing good practice recommendations for DCM, in the form of ten simple rules, we hope that this article serves as a helpful tutorial for the growing community of DCM users.
- Published
- 2010
48. Public Health Response to Imported Case of Poliomyelitis, Australia, 2007
- Author
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Carnie, JA, Lester, R, Moran, R, Brown, L, Meagher, J, Roberts, JA, Thorley, BR, Carnie, JA, Lester, R, Moran, R, Brown, L, Meagher, J, Roberts, JA, and Thorley, BR
- Abstract
Australia, along with 36 other countries in the Western Pacific Region, was declared free of poliomyelitis by the World Health Organization in October 2000. Yet, the persistence of wild poliovirus in the 4 remaining polio-endemic countries-Afghanistan, India, Nigeria, and Pakistan-poses a risk for its importation into all countries declared polio free. We describe the public health response and outcomes resulting from the importation of a wild poliovirus infection in Melbourne, Australia, in July 2007. This response, based on an assessment of the risk for transmission, included offering vaccination with inactivated polio vaccine to the contacts and placing the index patient in isolation and the household contacts in quarantine until consecutive fecal specimens were negative for poliovirus by culture. The experience gained from the polio importation event in Australia may assist other polio-free countries to prepare for, and respond to, a similar event. No secondary clinical cases resulted from this importation.
- Published
- 2009
49. Bayesian model selection for group studies
- Author
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Stephan, K E, Penny, W D, Daunizeau, J, Moran, R J, Friston, K J, Stephan, K E, Penny, W D, Daunizeau, J, Moran, R J, and Friston, K J
- Abstract
Bayesian model selection (BMS) is a powerful method for determining the most likely among a set of competing hypotheses about the mechanisms that generated observed data. BMS has recently found widespread application in neuroimaging, particularly in the context of dynamic causal modelling (DCM). However, so far, combining BMS results from several subjects has relied on simple (fixed effects) metrics, e.g. the group Bayes factor (GBF), that do not account for group heterogeneity or outliers. In this paper, we compare the GBF with two random effects methods for BMS at the between-subject or group level. These methods provide inference on model-space using a classical and Bayesian perspective respectively. First, a classical (frequentist) approach uses the log model evidence as a subject-specific summary statistic. This enables one to use analysis of variance to test for differences in log-evidences over models, relative to inter-subject differences. We then consider the same problem in Bayesian terms and describe a novel hierarchical model, which is optimised to furnish a probability density on the models themselves. This new variational Bayes method rests on treating the model as a random variable and estimating the parameters of a Dirichlet distribution which describes the probabilities for all models considered. These probabilities then define a multinomial distribution over model space, allowing one to compute how likely it is that a specific model generated the data of a randomly chosen subject as well as the exceedance probability of one model being more likely than any other model. Using empirical and synthetic data, we show that optimising a conditional density of the model probabilities, given the log-evidences for each model over subjects, is more informative and appropriate than both the GBF and frequentist tests of the log-evidences. In particular, we found that the hierarchical Bayesian approach is considerably more robust than either of the other approac
- Published
- 2009
50. Tractography-based priors for dynamic causal models
- Author
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Stephan, K E, Tittgemeyer, M, Knösche, T R, Moran, R J, Friston, K J, Stephan, K E, Tittgemeyer, M, Knösche, T R, Moran, R J, and Friston, K J
- Abstract
Functional integration in the brain rests on anatomical connectivity (the presence of axonal connections) and effective connectivity (the causal influences mediated by these connections). The deployment of anatomical connections provides important constraints on effective connectivity, but does not fully determine it, because synaptic connections can be expressed functionally in a dynamic and context-dependent fashion. Although it is generally assumed that anatomical connectivity data is important to guide the construction of neurobiologically realistic models of effective connectivity; the degree to which these models actually profit from anatomical constraints has not yet been formally investigated. Here, we use diffusion weighted imaging and probabilistic tractography to specify anatomically informed priors for dynamic causal models (DCMs) of fMRI data. We constructed 64 alternative DCMs, which embodied different mappings between the probability of an anatomical connection and the prior variance of the corresponding of effective connectivity, and fitted them to empirical fMRI data from 12 healthy subjects. Using Bayesian model selection, we show that the best model is one in which anatomical probability increases the prior variance of effective connectivity parameters in a nonlinear and monotonic (sigmoidal) fashion. This means that the higher the likelihood that a given connection exists anatomically, the larger one should set the prior variance of the corresponding coupling parameter; hence making it easier for the parameter to deviate from zero and represent a strong effective connection. To our knowledge, this study provides the first formal evidence that probabilistic knowledge of anatomical connectivity can improve models of functional integration.
- Published
- 2009
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