Author: "Haider, SA" - Searchworks@Jio Institute Digital Library Search Results

166 results on '"Haider, SA"'

1. Work–Family Conflict, Emotional Intelligence, and General Self-Efficacy Among Medical Practitioners During the COVID-19 Pandemic [Retraction]

Author: Zeb S, Akbar A, Gul A, Haider SA, Poulova P, and Yasmin F
Subjects: emotional fatigue, purposive sampling, medical professionals, work-life balance, Psychology, BF1-990, Industrial psychology, HF5548.7-5548.85
Abstract: Zeb S, Akbar A, Gul A, Haider SA, Poulova P, Yasmin F. Psychol Res Behav Manag. 2021;14:1867–1876. We, the Editors and Publisher of Psychology Research and Behaviour Management, have retracted the following article. Following publication of the article, the editorial office received notification from a researcher with concerns that, aside from the first author, the remaining co-authors did not contribute to the reported study or the drafting of the original manuscript. The researcher provided evidence demonstrating that the article had been derived directly from their BSc thesis. When approached for an explanation, the authors were cooperative but were unable to provide sufficient evidence to show they had contributed to the reported study or the drafting of the original manuscript. Our editorial policies are clear that authors are expected to fulfil specific criteria to warrant authorship and in light of this, the decision was made to retract the article and the authors were notified of this. We have been informed in our decision-making by our editorial policies and COPE guidelines. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’.
Published: 2023

2. Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

Author: Kouli, O, Murray, V, Bhatia, S, Cambridge, WA, Kawka, M, Shafi, S, Knight, SR, Kamarajah, SK, McLean, KA, Glasbey, JC, Khaw, RA, Ahmed, W, Akhbari, M, Baker, D, Borakati, A, Mills, E, Thavayogan, R, Yasin, I, Raubenheimer, K, Ridley, W, Sarrami, M, Zhang, G, Egoroff, N, Pockney, P, Richards, T, Bhangu, A, Creagh-Brown, B, Edwards, M, Harrison, EM, Lee, M, Nepogodiev, D, Pinkney, T, Pearse, R, Smart, N, Vohra, R, Sohrabi, C, Jamieson, A, Nguyen, M, Rahman, A, English, C, Tincknell, L, Kakodkar, P, Kwek, I, Punjabi, N, Burns, J, Varghese, S, Erotocritou, M, McGuckin, S, Vayalapra, S, Dominguez, E, Moneim, J, Salehi, M, Tan, HL, Yoong, A, Zhu, L, Seale, B, Nowinka, Z, Patel, N, Chrisp, B, Harris, J, Maleyko, I, Muneeb, F, Gough, M, James, CE, Skan, O, Chowdhury, A, Rebuffa, N, Khan, H, Down, B, Fatimah Hussain, Q, Adams, M, Bailey, A, Cullen, G, Fu, YXJ, McClement, B, Taylor, A, Aitken, S, Bachelet, B, Brousse de Gersigny, J, Chang, C, Khehra, B, Lahoud, N, Lee Solano, M, Louca, M, Rozenbroek, P, Rozitis, E, Agbinya, N, Anderson, E, Arwi, G, Barry, I, Batchelor, C, Chong, T, Choo, LY, Clark, L, Daniels, M, Goh, J, Handa, A, Hanna, J, Huynh, L, Jeon, A, Kanbour, A, Lee, A, Lee, J, Lee, T, Leigh, J, Ly, D, McGregor, F, Moss, J, Nejatian, M, O'Loughlin, E, Ramos, I, Sanchez, B, Shrivathsa, A, Sincari, A, Sobhi, S, Swart, R, Trimboli, J, Wignall, P, Bourke, E, Chong, A, Clayton, S, Dawson, A, Hardy, E, Iqbal, R, Le, L, Mao, S, Marinelli, I, Metcalfe, H, Panicker, D, R, HH, Ridgway, S, Tan, HH, Thong, S, Van, M, Woon, S, Woon-Shoo-Tong, XS, Yu, S, Ali, K, Chee, J, Chiu, C, Chow, YW, Duller, A, Nagappan, P, Ng, S, Selvanathan, M, Sheridan, C, Temple, M, Do, JE, Dudi-Venkata, NN, Humphries, E, Li, L, Mansour, LT, Massy-Westropp, C, Fang, B, Farbood, K, Hong, H, Huang, Y, Joan, M, Koh, C, Liu, YHA, Mahajan, T, Muller, E, Park, R, Tanudisastro, M, Wu, JJG, Chopra, P, Giang, S, Radcliffe, S, Thach, P, Wallace, D, Wilkes, A, Chinta, SH, Li, J, Phan, J, Rahman, F, Segaran, A, Shannon, J, Zhang, M, Adams, N, Bonte, A, Choudhry, A, Colterjohn, N, Croyle, JA, Donohue, J, Feighery, A, Keane, A, McNamara, D, Munir, K, Roche, D, Sabnani, R, Seligman, D, Sharma, S, Stickney, Z, Suchy, H, Tan, R, Yordi, S, Ahmed, I, Aranha, M, El Sabawy, D, Garwood, P, Harnett, M, Holohan, R, Howard, R, Kayyal, Y, Krakoski, N, Lupo, M, McGilberry, W, Nepon, H, Scoleri, Y, Urbina, C, Ahmad Fuad, MF, Ahmed, O, Jaswantlal, D, Kelly, E, Khan, MHT, Naidu, D, Neo, WX, O'Neill, R, Sugrue, M, Abbas, JD, Abdul-Fattah, S, Azlan, A, Barry, K, Idris, NS, Kaka, N, Mc Dermott, D, Mohammad Nasir, MN, Mozo, M, Rehal, A, Shaikh Yousef, M, Wong, RH, Curran, E, Gardner, M, Hogan, A, Julka, R, Lasser, G, Ní Chorráin, N, Ting, J, Browne, R, George, S, Janjua, Z, Leung Shing, V, Megally, M, Murphy, S, Ravenscroft, L, Vedadi, A, Vyas, V, Bryan, A, Sheikh, A, Ubhi, J, Vannelli, K, Vawda, A, Adeusi, L, Doherty, C, Fitzgerald, C, Gallagher, H, Gill, P, Hamza, H, Hogan, M, Kelly, S, Larry, J, Lynch, P, Mazeni, NA, O'Connell, R, O'Loghlin, R, Singh, K, Abbas Syed, R, Ali, A, Alkandari, B, Arnold, A, Arora, E, Azam, R, Breathnach, C, Cheema, J, Compton, M, Curran, S, Elliott, JA, Jayasamraj, O, Mohammed, N, Noone, A, Pal, A, Pandey, S, Quinn, P, Sheridan, R, Siew, L, Tan, EP, Tio, SW, Toh, VTR, Walsh, M, Yap, C, Yassa, J, Young, T, Agarwal, N, Almoosawy, SA, Bowen, K, Bruce, D, Connachan, R, Cook, A, Daniell, A, Elliott, M, Fung, HKF, Irving, A, Laurie, S, Lee, YJ, Lim, ZX, Maddineni, S, McClenaghan, RE, Muthuganesan, V, Ravichandran, P, Roberts, N, Shaji, S, Solt, S, Toshney, E, Arnold, C, Baker, O, Belais, F, Bojanic, C, Byrne, M, Chau, CYC, De Soysa, S, Eldridge, M, Fairey, M, Fearnhead, N, Guéroult, A, Ho, JSY, Joshi, K, Kadiyala, N, Khalid, S, Khan, F, Kumar, K, Lewis, E, Magee, J, Manetta-Jones, D, Mann, S, McKeown, L, Mitrofan, C, Mohamed, T, Monnickendam, A, Ng, AYKC, Ortu, A, Patel, M, Pope, T, Pressling, S, Purohit, K, Saji, S, Shah Foridi, J, Shah, R, Siddiqui, SS, Surman, K, Utukuri, M, Varghese, A, Williams, CYK, Yang, JJ, Billson, E, Cheah, E, Holmes, P, Hussain, S, Murdock, D, Nicholls, A, Patel, P, Ramana, G, Saleki, M, Spence, H, Thomas, D, Yu, C, Abousamra, M, Brown, C, Conti, I, Donnelly, A, Durand, M, French, N, Goan, R, O'Kane, E, Rubinchik, P, Gardiner, H, Kempf, B, Lai, YL, Matthews, H, Minford, E, Rafferty, C, Reid, C, Sheridan, N, Al Bahri, T, Bhoombla, N, Rao, BM, Titu, L, Chatha, S, Field, C, Gandhi, T, Gulati, R, Jha, R, Jones Sam, MT, Karim, S, Patel, R, Saunders, M, Sharma, K, Abid, S, Heath, E, Kurup, D, Patel, A, Ali, M, Cresswell, B, Felstead, D, Jennings, K, Kaluarachchi, T, Lazzereschi, L, Mayson, H, Miah, JE, Reinders, B, Rosser, A, Thomas, C, Williams, H, Al-Hamid, Z, Alsadoun, L, Chlubek, M, Fernando, P, Gaunt, E, Gercek, Y, Maniar, R, Ma, R, Matson, M, Moore, S, Morris, A, Nagappan, PG, Ratnayake, M, Rockall, L, Shallcross, O, Sinha, A, Tan, KE, Virdee, S, Wenlock, R, Donnelly, HA, Ghazal, R, Hughes, I, Liu, X, McFadden, M, Misbert, E, Mogey, P, O'Hara, A, Peace, C, Rainey, C, Raja, P, Salem, M, Salmon, J, Tan, CH, Alves, D, Bahl, S, Baker, C, Coulthurst, J, Koysombat, K, Linn, T, Rai, P, Sharma, A, Shergill, A, Ahmed, M, Ahmed, S, Belk, LH, Choudhry, H, Cummings, D, Dixon, Y, Dobinson, C, Edwards, J, Flint, J, Franco Da Silva, C, Gallie, R, Gardener, M, Glover, T, Greasley, M, Hatab, A, Howells, R, Hussey, T, Khan, A, Mann, A, Morrison, H, Ng, A, Osmond, R, Padmakumar, N, Pervaiz, F, Prince, R, Qureshi, A, Sawhney, R, Sigurdson, B, Stephenson, L, Vora, K, Zacken, A, Cope, P, Di Traglia, R, Ferarrio, I, Hackett, N, Healicon, R, Horseman, L, Lam, LI, Meerdink, M, Menham, D, Murphy, R, Nimmo, I, Ramaesh, A, Rees, J, Soame, R, Dilaver, N, Adebambo, D, Brown, E, Burt, J, Foster, K, Kaliyappan, L, Knight, P, Politis, A, Richardson, E, Townsend, J, Abdi, M, Ball, M, Easby, S, Gill, N, Ho, E, Iqbal, H, Matthews, M, Nubi, S, Nwokocha, JO, Okafor, I, Perry, G, Sinartio, B, Vanukuru, N, Walkley, D, Welch, T, Yates, J, Yeshitila, N, Bryans, K, Campbell, B, Gray, C, Keys, R, Macartney, M, Chamberlain, G, Khatri, A, Kucheria, A, Lee, STP, Reese, G, Roy choudhury, J, Tan, WYR, Teh, JJ, Ting, A, Kazi, S, Kontovounisios, C, Vutipongsatorn, K, Amarnath, T, Balasubramanian, N, Bassett, E, Gurung, P, Lim, J, Panjikkaran, A, Sanalla, A, Alkoot, M, Bacigalupo, V, Eardley, N, Horton, M, Hurry, A, Isti, C, Maskell, P, Nursiah, K, Punn, G, Salih, H, Epanomeritakis, E, Foulkes, A, Henderson, R, Johnston, E, McCullough, H, McLarnon, M, Morrison, E, Cheung, A, Cho, SH, Eriksson, F, Hedges, J, Low, Z, May, C, Musto, L, Nagi, S, Nur, S, Salau, E, Shabbir, S, Thomas, MC, Uthayanan, L, Vig, S, Zaheer, M, Zeng, G, Ashcroft-Quinn, S, Brown, R, Hayes, J, McConville, R, French, R, Gilliam, A, Sheetal, S, Shehzad, MU, Bani, W, Christie, I, Franklyn, J, Khan, M, Russell, J, Smolarek, S, Varadarassou, R, Ahmed, SK, Narayanaswamy, S, Sealy, J, Shah, M, Dodhia, V, Manukyan, A, O'Hare, R, Orbell, J, Chung, I, Forenc, K, Gupta, A, Agarwal, A, Al Dabbagh, A, Bennewith, R, Bottomley, J, Chu, TSM, Chu, YYA, Doherty, W, Evans, B, Hainsworth, P, Hosfield, T, Li, CH, McCullagh, I, Mehta, A, Thaker, A, Thompson, B, Virdi, A, Walker, H, Wilkins, E, Dixon, C, Hassan, MR, Lotca, N, Tong, KS, Batchelor-Parry, H, Chaudhari, S, Harris, T, Hooper, J, Johnson, C, Mulvihill, C, Nayler, J, Olutobi, O, Piramanayagam, B, Stones, K, Sussman, M, Weaver, C, Alam, F, Al Rawi, M, Andrew, F, Arrayeh, A, Azizan, N, Hassan, A, Iqbal, Z, John, I, Jones, M, Kalake, O, Keast, M, Nicholas, J, Patil, A, Powell, K, Roberts, P, Sabri, A, Segue, AK, Shah, A, Shaik Mohamed, SA, Shehadeh, A, Shenoy, S, Tong, A, Upcott, M, Vijayasingam, D, Anarfi, S, Dauncey, J, Devindaran, A, Havalda, P, Komninos, G, Mwendwa, E, Norman, C, Richards, J, Urquhart, A, Allan, J, Cahya, E, Hunt, H, McWhirter, C, Norton, R, Roxburgh, C, Tan, JY, Ali Butt, S, Hansdot, S, Haq, I, Mootien, A, Sanchez, I, Vainas, T, Deliyannis, E, Tan, M, Vipond, M, Chittoor Satish, NN, Dattani, A, De Carvalho, L, Gaston-Grubb, M, Karunanithy, L, Lowe, B, Pace, C, Raju, K, Roope, J, Taylor, C, Youssef, H, Munro, T, Thorn, C, Wong, KHF, Yunus, A, Chawla, S, Datta, A, Dinesh, AA, Field, D, Georgi, T, Gwozdz, A, Hamstead, E, Howard, N, Isleyen, N, Jackson, N, Kingdon, J, Sagoo, KS, Schizas, A, Yin, L, Aung, E, Aung, YY, Franklin, S, Han, SM, Kim, WC, Martin Segura, A, Rossi, M, Ross, T, Tirimanna, R, Wang, B, Zakieh, O, Ben-Arzi, H, Flach, A, Jackson, E, Magers, S, Olu abara, C, Rogers, E, Sugden, K, Tan, H, Veliah, S, Walton, U, Asif, A, Bharwada, Y, Bowley, D, Broekhuizen, A, Cooper, L, Evans, N, Girdlestone, H, Ling, C, Mann, H, Mehmood, N, Mulvenna, CL, Rainer, N, Trout, I, Gujjuri, R, Jeyaraman, D, Leong, E, Singh, D, Smith, E, Anderton, J, Barabas, M, Goyal, S, Howard, D, Joshi, A, Mitchell, D, Weatherby, T, Badminton, R, Bird, R, Burtle, D, Choi, NY, Devalia, K, Farr, E, Fischer, F, Fish, J, Gunn, F, Jacobs, D, Johnston, P, Kalakoutas, A, Lau, E, Loo, YNAF, Louden, H, Makariou, N, Mohammadi, K, Nayab, Y, Ruhomaun, S, Ryliskyte, R, Saeed, M, Shinde, P, Sudul, M, Theodoropoulou, K, Valadao-Spoorenberg, J, Vlachou, F, Arshad, SR, Janmohamed, AM, Noor, M, Oyerinde, O, Saha, A, Syed, Y, Watkinson, W, Ahmadi, H, Akintunde, A, Alsaady, A, Bradley, J, Brothwood, D, Burton, M, Higgs, M, Hoyle, C, Katsura, C, Lathan, R, Louani, A, Mandalia, R, Prihartadi, AS, Qaddoura, B, Sandland-Taylor, L, Thadani, S, Thompson, A, Walshaw, J, Teo, S, Ali, S, Bawa, JH, Fox, S, Gargan, K, Haider, SA, Hanna, N, Hatoum, A, Khan, Z, Krzak, AM, Li, T, Pitt, J, Tan, GJS, Ullah, Z, Wilson, E, Cleaver, J, Colman, J, Copeland, L, Coulson, A, Davis, P, Faisal, H, Hassan, F, Hughes, JT, Jabr, Y, Mahmoud Ali, F, Nahaboo Solim, ZN, Sangheli, A, Shaya, S, Thompson, R, Cornwall, H, De Andres Crespo, M, Fay, E, Findlay, J, Groves, E, Jones, O, Killen, A, Millo, J, Thomas, S, Ward, J, Wilkins, M, Zaki, F, Zilber, E, Bhavra, K, Bilolikar, A, Charalambous, M, Elawad, A, Eleni, A, Fawdon, R, Gibbins, A, Livingstone, D, Mala, D, Oke, SE, Padmakumar, D, Patsalides, MA, Payne, D, Ralphs, C, Roney, A, Sardar, N, Stefanova, K, Surti, F, Timms, R, Tosney, G, Bannister, J, Clement, NS, Cullimore, V, Kamal, F, Lendor, J, McKay, J, Mcswiggan, J, Minhas, N, Seneviratne, K, Simeen, S, Valverde, J, Watson, N, Bloom, I, Dinh, TH, Hirniak, J, Joseph, R, Kansagra, M, Lai, CKN, Melamed, N, Patel, J, Randev, J, Sedighi, T, Shurovi, B, Sodhi, J, Vadgama, N, Abdulla, S, Adabavazeh, B, Champion, A, Chennupati, R, Chu, K, Devi, S, Haji, A, Schulz, J, Testa, F, Davies, P, Gurung, B, Howell, S, Modi, P, Pervaiz, A, Zahid, M, Abdolrazaghi, S, Abi Aoun, R, Anjum, Z, Bawa, G, Bhardwaj, R, Brown, S, Enver, M, Gill, D, Gopikrishna, D, Gurung, D, Kanwal, A, Kaushal, P, Khanna, A, Lovell, E, McEvoy, C, Mirza, M, Nabeel, S, Naseem, S, Pandya, K, Perkins, R, Pulakal, R, Ray, M, Reay, C, Reilly, S, Round, A, Seehra, J, Shakeel, NM, Singh, B, Vijay Sukhnani, M, Brown, L, Desai, B, Elzanati, H, Godhaniya, J, Kavanagh, E, Kent, J, Kishor, A, Liu, A, Norwood, M, Shaari, N, Wood, C, Wood, M, Brown, A, Chellapuri, A, Ferriman, A, Ghosh, I, Kulkarni, N, Noton, T, Pinto, A, Rajesh, S, Varghese, B, Wenban, C, Aly, R, Barciela, C, Brookes, T, Corrin, E, Goldsworthy, M, Mohamed Azhar, MS, Moore, J, Nakhuda, S, Ng, D, Pillay, S, Port, S, Abdullah, M, Akinyemi, J, Islam, S, Kale, A, Lewis, A, Manjunath, T, McCabe, H, Misra, S, Stubley, T, Tam, JP, Waraich, N, Chaora, T, Ford, C, Osinkolu, I, Pong, G, Rai, J, Risquet, R, Ainsworth, J, Ayandokun, P, Barham, E, Barrett, G, Barry, J, Bisson, E, Bridges, I, Burke, D, Cann, J, Cloney, M, Coates, S, Cripps, P, Davies, C, Francis, N, Green, S, Handley, G, Hathaway, D, Hurt, L, Jenkins, S, Johnston, C, Khadka, A, McGee, U, Morris, D, Murray, R, Norbury, C, Pierrepont, Z, Richards, C, Ross, O, Ruddy, A, Salmon, C, Shield, M, Soanes, K, Spencer, N, Taverner, S, Williams, C, Wills-Wood, W, Woodward, S, Chow, J, Fan, J, Guest, O, Hunter, I, Moon, WY, Arthur-Quarm, S, Edwards, P, Hamlyn, V, McEneaney, L, N D, G, Pranoy, S, Ting, M, Abada, S, Alawattegama, LH, Ashok, A, Carey, C, Gogna, A, Haglund, C, Hurley, P, Leelo, N, Liu, B, Mannan, F, Paramjothy, K, Ramlogan, K, Raymond-Hayling, O, Shanmugarajah, A, Solichan, D, Wilkinson, B, Ahmad, NA, Allan, D, Amin, A, Bakina, C, Burns, F, Cameron, F, Campbell, A, Cavanagh, S, Chan, SMZ, Chapman, S, Chong, V, Edelsten, E, Ekpete, O, El Sheikh, M, Ghose, R, Hassane, A, Henderson, C, Hilton-Christie, S, Husain, M, Hussain, H, Javid, Z, Johnson-Ogbuneke, J, Johnston, A, Khalil, M, Leung, TCC, Makin, I, Muralidharan, V, Naeem, M, Patil, P, Ravichandran, S, Saraeva, D, Shankey-Smith, W, Sharma, N, Swan, R, Waudby-West, R, Wilkinson, A, Wright, K, Balasubramanian, A, Bhatti, S, Chalkley, M, Chou, WK, Dixon, M, Evans, L, Fisher, K, Gandhi, P, Ho, S, Lau, YB, Lowe, S, Meechan, C, Murali, N, Musonda, C, Njoku, P, Ochieng, L, Pervez, MU, Seebah, K, Shaikh, I, Sikder, MA, Vanker, R, Alom, J, Bajaj, V, Coleman, O, Finch, G, Goss, J, Jenkins, C, Kontothanassis, A, Liew, MS, Ng, K, Outram, M, Shakeel, MM, Tawn, J, Zuhairy, S, Chapple, K, Cinnamond, A, Coleman, S, George, HA, Goulder, L, Hare, N, Hawksley, J, Kret, A, Luesley, A, Mecia, L, Porter, H, Puddy, E, Richardson, G, Sohail, B, Srikaran, V, Tadross, D, Tobin, J, Tokidis, E, Young, L, Ashdown, T, Bratsos, S, Koomson, A, Kufuor, A, Lim, MQ, Shah, S, Thorne, EPC, Warusavitarne, J, Xu, S, Abigail, S, Ahmed, A, Ahmed, J, Akmal, A, Al-Khafaji, M, Amini, B, Arshad, M, Bogie, E, Brazkiewicz, M, Carroll, M, Chandegra, A, Cirelli, C, Deng, A, Fairclough, S, Fung, YJ, Gornell, C, Green, RL, Green, SV, Gulamhussein, AHM, Isaac, AG, Jan, R, Jegatheeswaran, L, Knee, M, Kotecha, J, Kotecha, S, Maxwell-Armstrong, C, McIntyre, C, Mendis, N, Naing, TKP, Oberman, J, Ong, ZX, Ramalingam, A, Saeed Adam, A, Tan, LL, Towell, S, Yadav, J, Anandampillai, R, Chung, S, Hounat, A, Ibrahim, B, Jeyakumar, G, Khalil, A, Khan, UA, Nair, G, Owusu-Ayim, M, Wilson, M, Kanani, A, Kilkelly, B, Ogunmwonyi, I, Ong, L, Samra, B, Schomerus, L, Shea, J, Turner, O, Yang, Y, Amin, M, Blott, N, Clark, A, Feather, A, Forrest, M, Hague, S, Hamilton, K, Higginbotham, G, Hope, E, Karimian, S, Loveday, K, Malik, H, McKenna, O, Noor, A, Onsiong, C, Patel, B, Radcliffe, N, Shah, P, Tye, L, Verma, K, Walford, R, Yusufi, U, Zachariah, M, Casey, A, Doré, C, Fludder, V, Fortescue, L, Kalapu, SS, Karel, E, Khera, G, Smith, C, Appleton, B, Ashaye, A, Boggon, E, Evans, A, Faris Mahmood, H, Hinchcliffe, Z, Marei, O, Silva, I, Spooner, C, Thomas, G, Timlin, M, Wellington, J, Yao, SL, Abdelrazek, M, Abdelrazik, Y, Bee, F, Joseph, A, Mounce, A, Parry, G, Vignarajah, N, Biddles, D, Creissen, A, Kolhe, S, K, T, Lea, A, Ledda, V, O'Loughlin, P, Scanlon, J, Shetty, N, Weller, C, Abdalla, M, Adeoye, A, Bhatti, M, Chadda, KR, Chu, J, Elhakim, H, Foster-Davies, H, Rabie, M, Tailor, B, Webb, S, Abdelrahim, ASA, Choo, SY, Jiwa, A, Mangam, S, Murray, S, Shandramohan, A, Aghanenu, O, Budd, W, Hayre, J, Khanom, S, Liew, ZY, McKinney, R, Moody, N, Muhammad-Kamal, H, Odogwu, J, Patel, D, Roy, C, Sattar, Z, Shahrokhi, N, Sinha, I, Thomson, E, Wonga, L, Bain, J, Khan, J, Ricardo, D, Bevis, R, Cherry, C, Darkwa, S, Drew, W, Griffiths, E, Konda, N, Madani, D, Mak, JKC, Meda, B, Odunukwe, U, Preest, G, Raheel, F, Rajaseharan, A, Ramgopal, A, Risbrooke, C, Selvaratnam, K, Sethunath, G, Tabassum, R, Taylor, J, Thakker, A, Wijesingha, N, Wybrew, R, Yasin, T, Ahmed Osman, A, Alfadhel, S, Carberry, E, Chen, JY, Drake, I, Glen, P, Jayasuriya, N, Kawar, L, Myatt, R, Sinan, LOH, Siu, SSY, Tjen, V, Adeboyejo, O, Bacon, H, Barnes, R, Birnie, C, D'Cunha Kamath, A, Hughes, E, Middleton, S, Owen, R, Schofield, E, Short, C, Smith, R, Wang, H, Willett, M, Zimmerman, M, Balfour, J, Chadwick, T, Coombe-Jones, M, Do Le, HP, Faulkner, G, Hobson, K, Shehata, Z, Beattie, M, Chmielewski, G, Chong, C, Donnelly, B, Drusch, B, Ellis, J, Farrelly, C, Feyi-Waboso, J, Hibell, I, Hoade, L, Ho, C, Jones, H, Kodiatt, B, Lidder, P, Ni Cheallaigh, L, Norman, R, Patabendi, I, Penfold, H, Playfair, M, Pomeroy, S, Ralph, C, Rottenburg, H, Sebastian, J, Sheehan, M, Stanley, V, Welchman, J, Ajdarpasic, D, Antypas, A, Azouaghe, O, Basi, S, Bettoli, G, Bhattarai, S, Bommireddy, L, Bourne, K, Budding, J, Cookey-Bresi, R, Cummins, T, Davies, G, Fabelurin, C, Gwilliam, R, Hanley, J, Hird, A, Kruczynska, A, Langhorne, B, Lund, J, Lutchman, I, McGuinness, R, Neary, M, Pampapathi, S, Pang, E, Podbicanin, S, Rai, N, Redhouse White, G, Sujith, J, Thomas, P, Walker, I, Winterton, R, Anderson, P, Barrington, M, Bhadra, K, Clark, G, Fowler, G, Gibson, C, Hudson, S, Kaminskaite, V, Lawday, S, Longshaw, A, MacKrill, E, McLachlan, F, Murdeshwar, A, Nieuwoudt, R, Parker, P, Randall, R, Rawlins, E, Reeves, SA, Rye, D, Sirkis, T, Sykes, B, Ventress, N, Wosinska, N, Akram, B, Burton, L, Coombs, A, Long, R, Magowan, D, Ong, C, Sethi, M, Williams, G, Chan, C, Chan, LH, Fernando, D, Gaba, F, Khor, Z, Les, JW, Mak, R, Moin, S, Ng Kee Kwong, KC, Paterson-Brown, S, Tew, YY, Bardon, A, Burrell, K, Coldwell, C, Costa, I, Dexter, E, Hardy, A, Khojani, M, Mazurek, J, Raymond, T, Reddy, V, Reynolds, J, Soma, A, Agiotakis, S, Alsusa, H, Desai, N, Peristerakis, I, Adcock, A, Ayub, H, Bennett, T, Bibi, F, Brenac, S, Chapman, T, Clarke, G, Clark, F, Galvin, C, Gwyn-Jones, A, Henry-Blake, C, Kerner, S, Kiandee, M, Lovett, A, Pilecka, A, Ravindran, R, Siddique, H, Sikand, T, Treadwell, K, Akmal, K, Apata, A, Barton, O, Broad, G, Darling, H, Dhuga, Y, Emms, L, Habib, S, Jain, R, Jeater, J, Kan, CYP, Kathiravelupillai, A, Khatkar, H, Kirmani, S, Kulasabanathan, K, Lacey, H, Lal, K, Manafa, C, Mansoor, M, McDonald, S, Mittal, A, Mustoe, S, Nottrodt, L, Oliver, P, Papapetrou, I, Pattinson, F, Raja, M, Reyhani, H, Shahmiri, A, Small, O, Soni, U, Aguirrezabala Armbruster, B, Bunni, J, Hakim, MA, Hawkins-Hooker, L, Howell, KA, Hullait, R, Jaskowska, A, Ottewell, L, Thomas-Jones, I, Vasudev, A, Clements, B, Fenton, J, Gill, M, Haider, S, Lim, AJM, Maguire, H, McMullan, J, Nicoletti, J, Samuel, S, Unais, MA, White, N, Yao, PC, Yow, L, Boyle, C, Brady, R, Cheekoty, P, Cheong, J, Chew, SJHL, Chow, R, Ganewatta Kankanamge, D, Mamer, L, Mohammed, B, Ng Chieng Hin, J, Renji Chungath, R, Royston, A, Sharrad, E, Sinclair, R, Tingle, S, Treherne, K, Wyatt, F, Maniarasu, VS, Moug, S, Appanna, T, Bucknall, T, Hussain, F, Owen, A, Parry, M, Parry, R, Sagua, N, Spofforth, K, Yuen, ECT, Bosley, N, Hardie, W, Moore, T, Regas, C, Abdel-Khaleq, S, Ali, N, Bashiti, H, Buxton-Hopley, R, Constantinides, M, D'Afflitto, M, Deshpande, A, Duque Golding, J, Frisira, E, Germani Batacchi, M, Gomaa, A, Hay, D, Hutchison, R, Iakovou, A, Iakovou, D, Ismail, E, Jefferson, S, Jones, L, Khouli, Y, Knowles, C, Mason, J, McCaughan, R, Moffatt, J, Morawala, A, Nadir, H, Neyroud, F, Nikookam, Y, Parmar, A, Pinto, L, Ramamoorthy, R, Richards, E, Thomson, S, Trainer, C, Valetopoulou, A, Vassiliou, A, Wantman, A, Wilde, S, Dickinson, M, Rockall, T, Senn, D, Wcislo, K, Zalmay, P, Adelekan, K, Allen, K, Bajaj, M, Gatumbu, P, Hang, S, Hashmi, Y, Kaur, T, Kawesha, A, Kisiel, A, Woodmass, M, Adelowo, T, Ahari, D, Alhwaishel, K, Atherton, R, Clayton, B, Cockroft, A, Curtis Lopez, C, Hilton, M, Ismail, N, Kouadria, M, Lee, L, MacConnachie, A, Monks, F, Mungroo, S, Nikoletopoulou, C, Pearce, L, Sara, X, Shahid, A, Suresh, G, Wilcha, R, Atiyah, A, Davies, E, Dermanis, A, Gibbons, H, Hyde, A, Lawson, A, Lee, C, Leung-Tack, M, Li Saw Hee, J, Mostafa, O, Nair, D, Pattani, N, Plumbley-Jones, J, Pufal, K, Ramesh, P, Sanghera, J, Saram, S, Scadding, S, See, S, Stringer, H, Torrance, A, Vardon, H, Wyn-Griffiths, F, Brew, A, Kaur, G, Soni, D, Tickle, A, Akbar, Z, Appleyard, T, Figg, K, Jayawardena, P, Johnson, A, Kamran Siddiqui, Z, Lacy-Colson, J, Oatham, R, Rowlands, B, Sludden, E, Turnbull, C, Allin, D, Ansar, Z, Azeez, Z, Dale, VH, Garg, J, Horner, A, Jones, S, Knight, S, McGregor, C, McKenna, J, McLelland, T, Packham-Smith, A, Rowsell, K, Spector-Hill, I, Adeniken, E, Baker, J, Bartlett, M, Chikomba, L, Connell, B, Deekonda, P, Dhar, M, Elmansouri, A, Gamage, K, Goodhew, R, Hanna, P, Knight, J, Luca, A, Maasoumi, N, Mahamoud, F, Manji, S, Marwaha, PK, Mason, F, Oluboyede, A, Pigott, L, Razaq, AM, Richardson, M, Saddaoui, I, Wijeyendram, P, Yau, S, Atkins, W, Liang, K, Miles, N, Praveen, B, Ashai, S, Braganza, J, Common, J, Cundy, A, Davies, R, Guthrie, J, Handa, I, Iqbal, M, Ismail, R, Jones, C, Jones, I, Lee, KS, Levene, A, Okocha, M, Olivier, J, Smith, A, Subramaniam, E, Tandle, S, Wang, A, Watson, A, Wilson, C, Chan, XHF, Khoo, E, Montgomery, C, Norris, M, Pugalenthi, PP, Common, T, Cook, E, Mistry, H, Shinmar, HS, Agarwal, G, Bandyopadhyay, S, Brazier, B, Carroll, L, Goede, A, Harbourne, A, Lakhani, A, Lami, M, Larwood, J, Martin, J, Merchant, J, Pattenden, S, Pradhan, A, Raafat, N, Rothwell, E, Shammoon, Y, Sudarshan, R, Vickers, E, Wingfield, L, Ashworth, I, Azizi, S, Bhate, R, Chowdhury, T, Christou, A, Davies, L, Dwaraknath, M, Farah, Y, Garner, J, Gureviciute, E, Hart, E, Jain, A, Javid, S, Kankam, HK, Kaur Toor, P, Kaz, R, Kermali, M, Khan, I, Mattson, A, McManus, A, Murphy, M, Nair, K, Ngemoh, D, Norton, E, Olabiran, A, Parry, L, Payne, T, Pillai, K, Price, S, Punjabi, K, Raghunathan, A, Ramwell, A, Raza, M, Ritehnia, J, Simpson, G, Smith, W, Sodeinde, S, Studd, L, Subramaniam, M, Thomas, J, Towey, S, Tsang, E, Tuteja, D, Vasani, J, Vio, M, Badran, A, Adams, J, Anthony Wilkinson, J, Asvandi, S, Austin, T, Bald, A, Bix, E, Carrick, M, Chander, B, Chowdhury, S, Cooper Drake, B, Crosbie, S, D Portela, S, Francis, D, Gallagher, C, Gillespie, R, Gravett, H, Gupta, P, Ilyas, C, James, G, Johny, J, Jones, A, Kinder, F, MacLeod, C, Macrow, C, Maqsood-Shah, A, Mather, J, McCann, L, McMahon, R, Mitham, E, Mohamed, M, Munton, E, Nightingale, K, O'Neill, K, Onyemuchara, I, Senior, R, Shanahan, A, Sherlock, J, Spyridoulias, A, Stavrou, C, Stokes, D, Tamang, R, Taylor, E, Trafford, C, Uden, C, Waddington, C, Yassin, D, Zaman, M, Bangi, S, Cheng, T, Chew, D, Hussain, N, Imani-Masouleh, S, Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Shah, K, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Kyriacou, H, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Smith, M, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Gupta, S, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Nazarian, S, Parmar, C, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, Lindsay, J, McClung, A, McLaughlin, N, Watson, S, Whiteside, E, Alyacoubi, S, Arumugam, V, Beg, R, Dawas, K, Garg, S, Lloyd, ER, Mahfouz, Y, Manobharath, N, Moonesinghe, R, Morka, N, Patel, K, Prashar, J, Yip, S, Adeeko, ES, Ajekigbe, F, Bhat, A, Evans, C, Farrugia, A, Gurung, C, Long, T, Malik, B, Manirajan, S, Newport, D, Rayer, J, Ridha, A, Ross, E, Saran, T, Sinker, A, Waruingi, D, Allen, R, Al Sadek, Y, Alves do Canto Brum, H, Asharaf, H, Ashman, M, Balakumar, V, Barrington, J, Baskaran, R, Berry, A, Bhachoo, H, Bilal, A, Boaden, L, Chia, WL, Covell, G, Crook, D, Dadnam, F, Davis, L, De Berker, H, Doyle, C, Fox, C, Gruffydd-Davies, M, Hafouda, Y, Hill, A, Hubbard, E, Hunter, A, Inpadhas, V, Jamshaid, M, Jandu, G, Jeyanthi, M, Jones, T, Kantor, C, Kwak, SY, Malik, N, Matt, R, McNulty, P, Miles, C, Mohomed, A, Myat, P, Niharika, J, Nixon, A, O'Reilly, D, Parmar, K, Pengelly, S, Price, L, Ramsden, M, Turnor, R, Wales, E, Waring, H, Wu, M, Yang, T, Ye, TTS, Zander, A, Zeicu, C, Bellam, S, Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Cheung, J, Hollingshead, J, Page, V, Sugarman, J, Wong, E, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Kennedy, N, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, Smith, H, Al Bakry, M, Ashwell, W, Bajaj, S, Bandyopadhyay, D, Browlee, O, Burway, S, Chand, CP, Elsayeh, K, Elsharkawi, A, Evans, E, Ferrin, S, Fort-Schaale, A, Iacob, M, I, K, Impelliziere Licastro, G, Mankoo, AS, Olaniyan, T, Otun, J, Pereira, R, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Houlden, C, Knight, C, Metezai, H, Mirza-Davies, A, Seymour, Z, Spink, D, and Wischhusen, S
Published: 2022
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3. Role of Gender-Based Emotional Intelligence in Corporate Financial Decision-Making

Author: Ran Z, Gul A, Akbar A, Haider SA, Zeeshan A, and Akbar M
Subjects: emotional intelligence, self-awareness, self-regulation, social skill, empathy, motivation, corporate financial decision, recruitment process, training and development, Psychology, BF1-990, Industrial psychology, HF5548.7-5548.85
Abstract: Zou Ran,1,2 Azeem Gul,3 Ahsan Akbar,4 Syed Arslan Haider,5 Asma Zeeshan,6 Minhas Akbar7 1Kunming LIH SkyCity Rehabilitation Hospital, Kunming, People’s Republic of China; 2Faculty of Education, Segi University, Kuala Lumpur, Malaysia; 3Department of International Relations, National University of Modern Languages, Islamabad, Pakistan; 4International Business School, Guangzhou City University of Technology, Guangzhou, 510080, People’s Republic of China; 5Department of Management, Sunway University Business School (SUBS), Sunway University, No 5, Jalan Universiti, Bandar Sunway, 47500, Selangor Darul Ehsan, Malaysia; 6Department of Management Sciences, Bahria University, Islamabad, Pakistan; 7Department of Management Sciences, COMSATS University Islamabad (Sahiwal Campus), Sahiwal, 5700, PakistanCorrespondence: Ahsan Akbar Tel +86 13802400964Email akbar@gcu.edu.cnPurpose: Business competition is getting more intense nowadays, and corporate survival is getting harder; consequently, corporate managers have to make financial decisions in complex and globalized scenarios. As a result, in order to compete in today’s global economy, businesses are contemplating incorporating behavioural components of human psychology into their decision-making processes. Corporations are masters of quantitative analysis, but they rarely pay attention to behavioural elements of organizational success. Emotional intelligence is important in many parts of life; therefore, it is crucial to look at its dimensions when it comes to corporate financial decision-making.Methods: A simple random sampling technique was used to collect data from 200 senior-level managers from the corporate sector located in the twin cities of Rawalpindi and Islamabad of Pakistan. SPSS version 22 was used to test the hypotheses.Results: Results of the study show the gender-based variation in corporate financial decision-making detailing the higher impact of EI of males on CFD than their counterparts in the corporate sector organizations. The elements of self-awareness, empathy, motivation and self-regulation affect the financial decision-making of both the genders with varying degrees of influence, whereas social skills do not affect CFD of both genders.Conclusion: The study findings explicate that the influence of self-awareness and empathy constructs of EI on corporate financial decisions is stronger in female managers than their male counterparts. However, male managers exhibit a significantly stronger influence of motivation, social skills, and self-regulation dimensions on their financial decisions compared to female managers in a corporate setting. Overall, the impact of EI on CFD is slightly higher in male managers. These empirical outcomes imply that organizations should assess the employees not only for technical skills but also based on their emotional intelligence during the recruitment process.Keywords: emotional intelligence, self-awareness, self-regulation, social skill, empathy, motivation, corporate financial decision, recruitment process, training and development
Published: 2021

4. Work–Family Conflict, Emotional Intelligence, and General Self-Efficacy Among Medical Practitioners During the COVID-19 Pandemic

Author: Zeb S, Akbar A, Gul A, Haider SA, Poulova P, and Yasmin F
Subjects: emotional fatigue, purposive sampling, medical professionals, work-life balance, Psychology, BF1-990, Industrial psychology, HF5548.7-5548.85
Abstract: Sadaf Zeb,1 Ahsan Akbar,2,3 Azeem Gul,4 Syed Arslan Haider,5 Petra Poulova,3 Fakhra Yasmin6 1Department of Professional Psychology, Bahria University, Islamabad, Pakistan; 2International Business School, Guangzhou City University of Technology, Guangzhou, 510080, People’s Republic of China; 3Department of Informatics and Quantitative Methods, Faculty of Informatics and Management, University of Hradec Kralove, Hradec Kralove, 500 03, Czech Republic; 4Department of International Relations, National University of Modern Languages, Islamabad, 45320, Pakistan; 5Department of Management, Sunway University, Selangor Darul Ehsan, 47500, Malaysia; 6School of Education, South China Normal University, Guangzhou, 510631, People’s Republic of ChinaCorrespondence: Ahsan Akbar; Fakhra Yasmin Tel +86 13802400964Email akbar@gcu.edu.cn; fakhra.yasmin@hotmail.comPurpose: In Pakistan, medical professionals face multiple challenges comprising long, fixed working hours and workload overburdening, which leads to emotional fatigue. These conflicts in work–life scenarios, brought about by high work demands causing emotional exhaustion, can create a state of distress among the medical professionals. The present study investigates the association between work–family conflict (WFC), emotional intelligence (EI), and self-efficacy (SE) among medical practitioners during COVID-19 in Pakistan.Patients and Methods: The study sample included 140 medical professionals from Rawalpindi and Islamabad. Cross-section correlational research design was used, and information was gathered employing online surveys through a purposive sampling technique. The scales utilized were the WFC, EI, and SE Scale.Results: The current study hypothesized a significant relationship between work–family conflict, general self-efficacy (GSE) and emotional intelligence among medical practitioners during COVID-19 in Pakistan. The results showed that those with more family-to-work conflict had less EI and GSE. Furthermore, findings uncovered that there is a significant positive relationship between EI and GSE.Conclusion: The findings propose that it is important for medical professionals to have a high level of EI and GSE to navigate through the WFC more healthily. In future, awareness seminars could be arranged related to EI and its significance to stimulate the psychological well-being of medical professionals. Future studies could also consider other healthcare workers, including nurses and internees doing house jobs and other medical staff, as they are also exposed to several stresses due to the workload and family demands.Keywords: emotional fatigue, purposive sampling, medical professionals, work–life balance
Published: 2021

5. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Author: Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Glasbey, James C, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Li, Elizabeth, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Nepogodiev, Dmitri, Norman, Lisa, Ots, Riinu, Outani, Oumaima, Picciochi, Maria, Santos, Irène, Shaw, Catherine, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, Xu, William, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Modolo, Maria Marta, Cox, Daniel, Pockney, Peter, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Padmore, Greg, van Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Baiocchi, Glauco, Gomes, Gustavo Mendonça Ataíde, Lima Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Brar, Amanpreet, Martin, Janet, Ng-Kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong-Lin, Calvache, Jose Andres, Perez Rivera, Carlos J-, Danic Hadzibegovic, Ana, Kopjar, Tomislav, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango-Naranjo, Eddy, Emile, Sameh, Arévalo Sandoval, Danilo Alfonso, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Kwesi Acquah, Daniel, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Ghosh, Dhruva, Kembuan, Gabriele, Brouki Milan, Peiman, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Satoi, Sohei, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin-Young, Jang, Jamal, Mohammad, Karout, Lina, Elhadi, Muhammed, 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Bayo, Heura, Colás-Ruiz, Enrique, Bella Romera, Susana, Ruiz Velasquez, Enrique Jose, Núñez, Bernardo, Jimenez, Raul, Zabaleta, Jon, González-Gimeno, Maria Jose, Ortega Vázquez, Irene, Perez Ferrer, Antonio, Martín-Láez, Rubén, Moreno Suarez, Marcelo, Freiria Eiras, Miguel Angel, Ramallo-Solís, Irene, Gomez-Rosado, Juan-Carlos, Oliver Guillen, Jose Ramon, Achalandabaso Boira, Mar, Catalá Bauset, Juan Carlos, Domenech, Julio, Badenes, Rafael, Bernal-Sprekelsen, Juan Carlos, Sancho-Muriel, Jorge, De Andrés-Asenjo, Beatriz, Tejero-Pintor, Francisco J, Vallve-Bernal, Marc, Vazquez Melero, Alba, Sánchez Blasco, Laura, Escartin, Jorge, Duque Mallén, Victoria, Srishankar, Selvaratnam, Jayarajah, Umesh, Sooriyabandara, Charitha, Basnayake, Oshan, Gunawansa, Nalaka, Wickramasinghe, Dakshitha, Weeraddana, Prabuth dulanjan, Vimalakanthan, Thanusan, Gishanthan, Shanthamoorthy, Chandrasinghe, Pramodh, Gialamas, Eleftherios, Sauvain, Marc-Olivier, Ghazal, Ahmad, Al-Sabbagh, Yusra, Alhassoun, Turki, Maa Albared, Sara, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, Isik, Arda, Francis Xaviour, Okedi, Turinawe, Gaston, Mubezi, Isaac, Sikakulya, Franck K., Kakeeto, Andrew, Kabweru, Dr. Wilberforce M., Lekuya, Hervé Monka, Kiweewa, Ronald, Lule, Herman, Matovu, Paul, Isaac, Otolia, Mashhour, Mohamed, El Helw, Amin, Alshryda, Sattar, Mohamed, Awadelkarim, Abbas, Ferial Mohamed Ali, Mohammed, Diary, Aldlyami, Ehab, Kundra, Rakesh, Michael, Antony Louis Rex, Alsaadi, Hayder, Khalil, Kareem S., Dbeis, Rachel, Shaikh, Shafaque, Ferry, Jenny, Jamal, Aiman, Siddique, Haleema, Das, Rishi, Ponugoti, Nikhil, Kamarajah, Sivesh K, Rattanasirivilai, Pornjittra, Sultana, Asma, Mosley, Frances, Chan, Matthew, Bateman, Antony, Davies-Jones, Gareth, Georgiades, Fanourios, Stewart, Grant D., Ahmadi, Navid, Coonar, Aman, Baig, Mariam, Khatri, Chetan, Surendran, Arthika, Sonksen, Julian, Sinnerton, Robert, Brennan, Caitlin, Gemma, Greenhalgh, Michael, Emerson, Hannah, Singisetti, Kiran, Totty, Joshua, Wilson, Michael, Lo, Terence, Corbett, Harriet, Okonkwo, Ijeoma, Arbane, Gill, El-Boghdadly, Kariem, Kerawala, Cyrus, Parmar, Chetan, Abbott, Tom, Bath, Michael, Odejinmi, Funlayo, Sagar, Jayesh, Talwar, Rishi, Newman, Samuel, Hammond, John, Moir, John, Duric, Natalie, Szakmany, Tamas, Iftikhar Talib, Ahmar, Youssef, Mina, Lewis-Lloyd, Christopher, Lami, Mariam, Ayub, Khurram, Dean, Benjamin, Balasubramanya, Supriya, Lakpriya, Sathya, Rogers, Luke, Turner, Paul, Maher, Mark, Sigamoney, Kohila, Edwards, John, El Kafsi, Jihène, Hardie, John, Johnson, David, Henein, Christin, Hollyman, Marianne, Agarwal, Ketan, Powell, Simon, Chauhan, Govind Singh, Patel, Rakesh, Gagnier, Joel, Carmichael, Heather, Olson, Kristofor A., Etchill, Eric, Incorvia, Joseph, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Kaafarani, Haytham, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Rice, Henry E., Kaups, Krista, 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Maximiliano, Zezular, Damaris Idara Anabel, Abuawad, Carla, Albani Forneris, Agustin, Brandariz, Rodrigo, Burchakchi, Arturo, Buttaro, Martin, Cano Busnelli, Virginia, Carminatti, Tomas, Cereghini, Julian, Crespi Amor, María Sol, Figari, Marcelo, Gonzalez Salazar, Esteban, Higuera, Felipe, Llano, Lionel, Lobos, Pablo, Mc Loughlin, Santiago, Mendoza, Efrain, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Ramos, María Lourdes, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Taboada, María Victoria, Vagni, Roberto, Montal, Silvina, Alvarez, Fernando Andres, Bruera, Nicolás, Parodi, Matias, Picon molina, Héctor, Belisle, Diego, Esteban, Agustin, García, José Sebastian, Granero, Lucas, Yaryura Montero, José Gabriel, D’Addino, José Luis, Calderón Arancibia, José Alfredo, John, Brooke-Smith, Mark, Hii, Amanda, Kundu, Nikhil, Marshall-Webb, Matthew, McVeay, Christina, Ong, Bee Shan, Parker, Dominic, Barnett, Dylan Richard, Buddingh, Karel, Dobbins, Christopher, Dudi-Venkata, Nagendra, Haque, Izhar-Ul, Herath, Matheesha, Kroon, Hidde M, Lim, Alicia, Moller, Cea-Cea, Neo, Eu Nice, Neo, Eu Ling, Russell, Christine, Tourani, Saam, Tran, Steven, Yin, Yijie, Watson, Matthew, Barker, John, Rugendyke, Anya, Watson, Eleanor, Sercombe, Ashleigh, Tee, Chin Li, Batstone, Martin, Field, Michael, Scott, Benjamin, Stevens, Sean, Charlton, Gabriella, Chen, Si, Gauri, Neha, Hayhurst, Ross, Jang, Seyoung, Zhang, Helen, Latif, Haider, Nagra, Sonal, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Bengeri, Savitha, Cheah, Hock Ping, Chen, Paul, Clark, Sara, Dawson, Amanda Caroline, Devan, Eliya, Fitt, Sophia, Gaul, John, Jolly, Danielle, Kane, James Dimitri, Kwok, Kelvin, Laura, Sharon, Lee, Vivian, Liang, Ina, Luo, Haili, Miles, Stephanie, Noor, Anthony, Simpson, Renwick, Cox, Aram, Thani, Nova, Egoroff, Natasha, Farik, Shebani, Moss, Jana-Lee, Wright, Deborah, Salama, Paul, Phan, Du, Townend, David, Chuan, Alwin, Barnett, Stephen, Hasan Kheslat, Hajar, Jamieson-Grigg, Chloe, Larner, Brett, Proud, David, Riddiough, Georgina, Seevanayagam, Sivendran, Zhao, Chris, An, Vinna, Drake, Anna, Hunt, Benjamin, Jain, Anshini, Lim, Christopher Seng Hong, Luck, Tara, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Tsigaras, Zac, Ward, Salena, Zhou, Jessie, Coates, Amy, Nataraja, Ramesh, Pacilli, Maurizio, Gillard, Andrew, Petrakis, Nikki, Qureshi, Maryum, Seow, Sean Ezekiel, Vivian-Taylor, Josephine, Wheatley, Jennifer, O’Connor, Brendan, Teague, Warwick, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Price, Veronique, Rowcroft, Alistair, Shaw, Kalai, Stark, Claire, Lauritz, Brianne, Ong, Chui Foong, Tang, Howard, Davis, Amelia, Peerally, Bibi Nabeeha, Aubin, Anne-Marie, Gourlay, Ralph, Lim, Zhi Ying, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Dale, Tyson, Duggal, Anchal, Ennis, Brendan, Fu, Yi Xin Joanna, Gani, Jonathan, Gelzinnis, Scott, Hadlow, Claudia, Hardstaff, Ruth, Lau, Wayne Yan, Liang, Hsin-Ping, Lim, Daniel, Mcilwain, Elysse, Ming, Yan Joyce, Ocsan, Ryan James, Organ, Nicole, Paterson, Amanda, Perez Cerdeira, Marisol, Ting, Caleb, Willoughby, Ellisha, Bailey, Ashley, Narayanan, Viswanathan, Wilkes, Anna, Zhao, Jie, D’Souza, Carl, Forbes, Clara, Haddleton, Monique, Mohammed Abdul, Naseer, Archer, Leigh, Dilevska, Tina, Hans, Tasvinder, Kumar, Mohit, Pham, Terence, Picazo Pineda, Fernando, Suk-Udom, Supisara, Jeyamanoharan, Nivedan, Sala, Michael, Dravid, Madhulika, McCartney, Conor, Sam, Apostolou, Christos, Berney, Christophe, Lam, Andrew, Ma, Vanessa, Cope, Jennifer, Llorando, Alyssa, Mahin, Humaira Haider, Putnis, Soni, Syed, Faisal, Ireland, Patrick, Zhu, Bonnie, Zitt, Matthias, Königsrainer, Ingmar, Allmer, Caterina, Mitteregger, Martin, Seitinger, Gerald, Duller, David, Mathew, Erwin, Skias, Christoph, Brinskelle, Petra, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Lindenmann, Joerg, Lumenta, David, Puchwein, Paul, Singer, Georg, Wolf, Axel, Arco, Daniel, Kilic, Nura, Widschwendter, 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Abubakr, Asmaa, Al Gohary, Rawda, Elsabagh, Alaa, Elshabrawy, Enas, Hafez, Ahmed, Mikhail, Pola, Mohamed, Mervat, Nada, Ahmed, Omran, Janna, Salem, Osama, Selim, Salma, Shalaby, Ghada, Wahbah, Mahmoud, Zakaria Abdelbary, Eman, Zayan, Ahmad Helmy, Afify, Abdelrahman, Mohamed Ahmed, Mostafa, Abdeldayem, Hesham, Abdelkader Salama, Ibrahim, Ammar, Khaled, Ayoub, Islam, Gad, Emad Hamdy, Hammad, Essam, Macshut, Mahmoud, Sherif, Ahmed Elshawadfy, Shoreem, Hany, Soliman, Hossam Eldeen, Eldaly, Abdullah, Mashaly, Sarah, Abd-Elsalam, Sherief, Abdel-Elsalam, Wafaa, Morsy, Mohamed Sherif, Nasreddin, Mohammed, Sarsik, Sameh, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abebe, Kirubel, Asfaw, Fitsum, Eshete, Mahder, Gedefaw, Yetsedaw, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Teklu, Daniel, Tirfe, Leake, Worku, Bereket, Eado, Yegeremu, Negussie, Abraham, Woldemariam, Mersha Abebe, Alemu, Megersa, Azmach, Dawit, Mamo, Dr.Mickyas, Menkir, Abel, Woldemariam, Dereje, Wubishet, Estifanos, Supha, Melka, Abebe, Nebyou, Chanie, Abera, Gebre, Hiwot, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Sahlu, Abat, Tiruneh, Abraham Genetu, Zewdneh, Betelhem, Fentaw, Jibril, Tabore, Ketema, Addisalem, Abreha, Tassew, Abdissa, Desalegn, Tesfaw, Mequannet, Asmamaw, Dawit, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Girma, Adissu, Shimelash, Dagim, Ayalew, Tewabe, Kassahun, Berhanu, Mulugeta, Esubalew, Sisay, Silamlak, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, Derilo, Habtamu, Eliyas, Nebiyu, Deressa, Yadani, Melese, Lemi, Muleta, Lemesa, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Dr.Gebreagziabher, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Moukoko, Didier, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Doussot, Alexandre, Onorati, Ilaria, Radu, Dana, André, Benoît, Marion, Herjean, Trilling, Bertrand, Boleslawski, Emmanuel, Noiret, Barbara, Aubry, Estelle, Subayi Nkembi, Armande, Christou, Niki, Usseglio, Julie, Jeandel, Clement, Denis, Waast, Duchalais, Emilie, Regenet, Nicolas, Rigaud, Jerome, Anract, Philippe, Dohan, Anthony, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Crétolle, Célia, Thouement, Clermidi, Pauline, Hervieux, Erik, Langlais, Tristan, Leonelli, Lorenzo, Thomin, Anne, Athiel, Yoann, Cathala, Nathalie, Levy-Zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Fabrice, Chartier-Kastler, Emmanuel, Chereau, Nathalie, Melot, Charlotte, Turco, Célia, Chouillard, Elie, Boisson, Matthieu, Frasca, Denis, Livin, Marie, Mahmoud, Fedy, Sulpice, Laurent, Arnaud, Alexis P, Cazemajou, Clément Thierry, Nyangoh Timoh, Krystel, Renault, Annaëlle, Nappi, Francesco, Ezanno, Anne-Cecile, Cherkaoui, Zineb, Vix, Michel, Gornes, Hugo, Berthoumieu, Pierre, Misrai, Vincent, Pierre, Trocard, Angeles, Martina Aida, Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, Modabber, Ali, Schäfer, Benedikt, Wallqvist, Julia, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Goßlau, Yvonne, Maksymiw, Florian, Sommer, Florian, Sommer, Björn, Loch, Florian N, Aghalarov, Ilgar, Braumann, Chris, Höhn, Philipp, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Bork, Ulrich, Meisel, Cornelia, Petzold, Andrea, Fluegen, Georg, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Schnitzbauer, Andreas, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schlager, Daniel, Strähle, Jakob, Spelsberg, Fritz, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Keppler, Lena, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, Ronellenfitsch, Ulrich, Thomssen, Christoph, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Klauke, Friederike, Schmidt, Birte, Vinz, Franziska, Sander, Johannes, Betz, Christian Stephan, Bewarder, Julian, Burg, Simon, Klatte, Till Orla, König, Daniela, Köpke, Leon-Gordian, Stangenberg, Martin, Roux, Frederic, Hakami, Ibrahim Abdullah, Mall, Julian W, Graeb, Christian, Huber-Strößner, Kristin, Pempe, Christina, Kelly, Kathrin, Siebert, Julia, Agrawal, Rachit, Gousias, Konstantinos, Qureischie, Homeira, Meyer, Frank, Rissmann, Anke, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Rassweiler-Seyfried, Marie-Claire, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, Gempt, Jens, Schäffer, Christoph, Wegmann, Helmut, Aghamaliyev, Ughur, Böcker, Wolfgang, von Ehrlich-Treuenstätt, Viktor H., Ladurner, Roland, Schlager, Justin Gabriel, Smolka, Wenko, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Stadler, Josef, Hölz, Katharina, Brunner, Stefan M., Prantl, Lukas, Herzberg, Jonas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Reinhard, Tobias, Löffler, Markus W., Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, Pusch von, Silke, Schmidbauer, Stefan, Boenicke, Lars, Degener, Stephan, Seiberth, Rose, Smit, Marieke, von Rundstedt, Friedrich-Carl, Germer, Christoph-Thomas, Lock, Johan, Lotz, Christopher, Schlesinger, Tobias, Schmid, Benedikt, Treutlein, Agnes, Agyeman-Duah, Nana Kwaku, Appiah, Enoch, Gakpetor, Delali, Minlah Allah, Stephen, Adu-Aryee, Nii Armah, Agboadoh, Nelson, Bediako Bowan, Antoinette, Brown, George Darko, Clegg-Lamptey, Joe-Nat, Fenu, Benjamin Sena, Kumassah, Philemon, Hussey, Romeo, Agbeno, Evans Kofi, Amoako-Boateng, Mabel, Debrah, Samuel, Doku, Dr Kingsley, Mensah, Philip, Nortey, Michael, Opandoh, Isabella Naa Morkor, Yigah, Makafui, Jiagge, Nuna, Acquaye, Jane, Agyemang-Prempeh, Akosua, Amo-Antwi, Kwabena, Amoah, Michael, Amoah, George, Aning, Daniel Gyawu, Annor Mintah, Dominic, Arthur, Joshua, Darko- Asante, Regina, Gaveh, Valerie, Gyamfi, Frank Enoch, Jonathan, Boakye - Yiadom, Konney, Thomas Okpoti, Kyei, Ishmael, Nimako, Boateng, Ofosu-Barko, Ben Blay, Osabutey, Anita, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abdul-Mumin, Alhassan, Amadu, Munira, Azahares Leal, German, Buunaaim, Alexis, Cheyuo, Ernest, Daboo Salifu, Latif, Issaka, Adamu, Yakubu, Musah, Grypiotis, Ioannis, Papadopoulou, Triada, Korkolis, Dimitrios, Thomakos, Nikolaos, Dellaportas, Dionysios, Dimitra, Papalouka, Hadjizacharias, Theodoros, Konstadoulakis, Manousos, Massaras, Dimitrios, Vezakis, Antonios, Avgerinos, Konstantinos, Kechagias, Aristotelis, Ioannidis, Argyrios, Patelis, Nikolaos, Deskou, Eirini, Stamos, Nikolaos, Tasis, Nikolaos, Danias, Nikolaos, Selmani, Jonida, Kalamatianos, Theodosis, Stranjalis, George, Kondilis, Panagiotis, Kanellopoulou, Vasiliki, Larentzakis, Andreas, Papanikolaou, Vasileios, Potamianos, Spyridon, Triantafyllou, Tania, Panagiotou, Peter, Avramidis, Emmanouil, Bessias, Nikolaos, Tsiantoula, Paraskevi, Charalabopoulos, Alexandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Papalampros, Alexandros, Terras, Alexis, Tsourouflis, Gerasimos, Zografos, Constantinos, Antzaka, Christina, Falara, Areti, Perreas, Konstantinos, Rellia, Panagiota, Tasouli, Androniki, Skolarikos, Andreas, Tzelves, Lazaros, Theodorakis, Emmanuel, Karona, Paraskevi, Tzouganakis, Angelos, Chrysos, Emmanuel, Nikolouzakis, Taxiarchis, Tourountzi, Paraskevi, Al, Aggeliki, Kalfountzos, Christos, Arnaoutoglou, Eleni, Christodoulidis, Gregory, Gkolias, Nick, Hajiioannou, Jiannis, Krestinidis, Giorgos, Ntalouka, Maria, Saini, Fani, Skoulakis, Charalampos, Terzoudis, Christos Dimitrios, Zacharoulis, Dimitris, Δακής, Κωνσταντίνος, Filo, Eva, Kontopoulou, Konstantina, Patoulias, Ioannis, Astreidis, Ioannis, Christidis, Panagiotis, Loutzidou, Lydia, Mantevas, Antonis, Tatsis, Dimitris, Tsakiridis, Ioannis, Iordanidou, Eirini, Brolo, Estuardo, Gutiérrez Ruiz, Alitza, De León Lima, María Alejandra, Flores, Mario-Andrés, Morales, Steffanía, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Barrios Duarte, Amalia, Talé-Rosales, Luis-Fernando, Villeda, Sergio Alejandro, Anicetti, Joshua, Lowey, Megan, Ardebol, Javier, Barillas, Kathia, Barillas, Sabrina, Recinos, Salvador, Hon, Sophie, Liu, Alex Qinyang, Liu, Shirley, Ip, Ho Wai, Mak, Brian, Mok, Chung Ying, Wong, Kiu Fung, Au-Yeung, Kit Ying, Chan, David Yuen Chung, Chiu, Wang Kei, Ho, Jacky Yan Kit, Kung, Janet Wui Cheung, Ling, Samuel Ka Kin, Lok, Hon Ting, Teoh, Jeremy Yuen-Chun, Wong, Randolph, Antal, Zsuzsanna, Bahrehmand, Kiarash, Sztipits, Tamás, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Herczeg, György, Saftics, György, Kulcsicka-Gut, Judit, Sipos, Zsófia, Majmudar, Hardil, Madabhavi, Irappa, G S, Anitha, Kesarla, Venkatesh, Kumar Venkatappa, Sunil, P B, Hareesh, Shivashankar Chikkanayakanahalli, Santhosh, Sunil, Tanvi, Rajagopal, Niranjana, P L, Thirumanikandan, Mishra, Nitu, Wadhwani, Dr Rekha, Dhurwe, Ritika, Pushpalatha, Kameshwarachari, Raj, Sumit, Singh, Pooja, Kumar, Pankaj, Mittal, Yash, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Sahu, Rabi, Sultania, Mahesh, Tripathy, Sujit, Kansay, Rajeev, Gupta, Sunil Kumar, Kaman, Lileswar, Salunke, Pravin, Singh, Kavindra, Rela, Mohamed, Goudar, Swati, B, Barani kumar P, Murugesan, Anandan, Subbian, Anbukkani, Kumar, Arvind, Chauhan, Tapan singh, Govil, Akhil, Gupta, Shubhra, Sharma, Ashish, Tiwari, Saurabh, Vishwani, Vartika, Evelyn. R, Nissi, Deb, Mainak, Jayaram, Harish, Nagpal, Pooja, Pathak, Prachi, Choudhary, Gautam Ram, Chugh, Ankita, Elhence, Abhay, Madduri, Vijay, Pandey, Himanshu, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Vishnoi, Jeewan Ram, Bhende, Vishal, Chatterjee, Debarshi, Ghosh, Indranil, Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Bajaj, Ankur, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Rajan, Shiv, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Agarwal, Gaurav, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Jain, Ritu, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Alexander, Philip, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, Dharap, Satish, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Abraham, Bejoy, Asari, Ashishkumar, Badhe, Vivek, Badhwar, Sanjiv, Bothara, Vipul, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Ghugare, Dr bhavisha, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vinay, Kalwadia, Neha, Kayal, Akshat, Kulkarni, Yogesh, Mistry, Rajesh, Mulchandani, Manoj, Parab, Dr. Mrunal, Pednekar, Abhinav, Rahmani, Faizan, Rajput, Sunil, Sandlas, Gursev, Sarkar, Hrishikesh, Shetty, Sanket sadanand, Shukla kulkarni, Anshumala, Thete, Raghavendraswami, Wasnik, Shruti, Dhumane, Parag, Sharma, Rahul Deo, Deshmukh, Anuja, Gupta, Stuti, Nayak, Prakash, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Soni, Rajesh, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bains, Lovenish, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Ghodke, Rahul, Himani, Kumar, Ashwani, Gadekar, Anup, Panjwani, Taufiq, Maji, Suvendu, Basu, Somprakas, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Mahakalkar, Chandrashekhar, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, Mehraj, Asif, Parray, Fazl, Shah, Raahil, Wani, Rauf, Hegde, Siddhi, Ankadavar, Dr.sushil, Bafna, Darshan, Lad, Parag, Chisthi, Meer, Jothi, Harihara, .C. Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Mittal, Rohin, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Pour, Ali Moazami, Azarnia, Gholamreza, Alizadeh, Narges, Mokarami, Hossein, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Yousefzadeh Kandevani, Naser, Mortazavi, SM Javad, Ahmadi, Sayedali, Khosravi, Mohammad Hossein, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Hilmi, Ahmed, Muhssein, Haidar, McNestry, Catherine, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Fleming, Christina, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, O’Brien, Stephen, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Croghan, Stefanie M, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, Cullinane, Carolyn, Dowdall, Joseph, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Murphy, Ben, Njeze, Nwabundo, Reynolds, Ian Sean, Winter, Des, Ravi, Akshaya, Ridgway, Paul, Fowler, Amy, McAnena, Peter, Bahadoor, Muhammad Usaama, Kabir, Syed Mohammad Umar, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, Ryan, Éanna, Sara, Al-Mukhaizeem, Youssef, Crowley, Clare, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Hill, Rhodri, Khalid, Muhammad Abdullah, Majeed, Zubair, McCullough, Peter, Neary, Peter, Noone, Anthony, O’Kelly, John, Abu abed, Arsan, Haim, Nadav, Hershkovitz, Yehuda, Majadla, Omar, Rabin, Igor, Zmora, Osnat, Demma, Yonatan Avraham, Fishman, Yuri, Farkas, Amicur, Gozal, Yaacov, Greenman, Dmitry, Ostrovsky, Israel Alexander, Pardes, Rivka, Shahar, Tal, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Cianci, Pasquale, Minafra, Marina, Restini, Enrico, Bussolin, Edoardo, De Prizio, Marco, Sulce, Rezart, Poiasina, Elia, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Boussedra, Safia, Cescon, Matteo, Cipolli, Alessandro, Daddi, Niccolo’, De Crescenzo, Eugenia, De Iaco, Pierandrea, Del Gaudio, Massimo, Della Gatta, Anna Nunzia, Droghetti, Matteo, Giorgini, Federico A., Lanci Lanci, Antonio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Perrone, Anna Myriam, Pignatti, Marco, Puglisi, Silvana Bernadetta, Rottoli, Matteo, Schiavina, Riccardo, Serenari, Matteo, Serra, Margherita, Tesei, Marco, Violante, Tommaso, Aspide, Raffaele, Carretta, Alessandro, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Rosetti, Vittoria, Sturiale, Carmelo, Donati, Davide Maria, Palmerini, Emanuela, Berselli, Bruno, Bolognesi, Silvia, Farnia, Francesco, Maremonti, Pietro, Razzaboni, Alessandra, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Molfino, Sarah, Panciani, Pier Paolo, Sartori, Enrico, Zanin, Luca, Perrone, Fabrizio, Cappellani, Alessandro, Giaquinta, Alessia, Gioco, Rossella, Veroux, Pierfrancesco, Cianci, Antonio, Lo Giudice, Arturo, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, De Paola, Gilda, Giannaccare, Giuseppe, Sammarco, Giuseppe, D’Andrea, Marcello, Tosatto, Luigino, Mucilli, Felice, Muraglia, Angelo, Giuliani, Domenico Benvenuto, Segalini, Edoardo, Daniele, Alberto, Gelarda, Enrico, Olearo, Elena, Puppo, Andrea, Testa, Valentina, Porta, Andrea, Birindelli, Arianna, Bernabei, Massimiliano, Feo, Carlo V., Virgilio, Edoardo, Bartolini, Ilenia, Bottari, Andrea, Checcucci, Carlotta, De Vincenti, Rosita, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Maltinti, Gherardo, Taddei, Antonio, Michelagnoli, Stefano, Maccagnano, Giuseppe, Pesce, Vito, Ercolani, Giorgio, Fappiano, Francesca, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Ferrero, Simone, Sparavigna, Marco, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, Spampinato, Marcello Giuseppe, Chiarelli, Marco, Grandi, Samuele, Lenzi, Riccardo, Muscatello, Luca, Germano’, Antonino Francesco, Giani, Alessandro, Bissacco, Daniele, Cassinotti, Elisa, Pignataro, Lorenzo, Torretta, Sara, Armellin, Daniele, Basato, Silvia, Carrano, Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, D’amico, Maria, Izzo, Francesco, Marra, Ester, Marte, Gianpaolo, Bianco, Francesco, Cappiello, Antonio, Iovino, Claudio, Menna, Maria Paola, Romano, Francesco maria, Rossi, Settimio, Sciaudone, Guido, Ascari, Francesca, Bellora, Paolo, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Chioffi, Franco, Ciccarino, Pietro, Nezi, Giulia, Bissolotti, Guido, Di Donna, Mariano Catello, Licari, Leo, Salamone, Giuseppe, Toia, Francesca, Annicchiarico, Alfredo, Berretta, Roberto, Capozzi, Vito Andrea, Freyrie, Antonio, Frusca, Tiziana, Arici, Vittorio, Bozzani, Antonio, Filardo, Matteo, de Manzoni Garberini, Andrea, Cauteruccio, Michele, Caristo, Giuseppe, Calabrò, Marcello, Andreani, Lorenzo, Antonio, D’arienzo, Berrettini, Stefano, Colangeli, Simone, Cremonini, Camilla, Dallan, Iacopo, Di Franco, Gregorio, Korasidis, Stylianos, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Statuti, Erica, Tartaglia, Dario, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Ubiali, Paolo, Coiro, Saverio, Mele, Simone, Corbellini, Carlo, Masciandaro, Antonio, Carannante, Filippo, Denaro, Vincenzo, Mazzotta, Erica, Zampogna, Biagio, Cinquepalmi, Matteo, Del Basso, Celeste, Guglielmo, Nicola, Meniconi, Roberto Luca, Sinibaldi, Giovanni, Agnes, Annamaria, Belia, Francesco, Bianchi, Valentina, Cozza, Valerio, Fico, Valeria, Fransvea, Pietro, La Greca, Antonio, Litta, Francesco, Pascale, Marco Maria, Silvia, Tedesco, Benevolo, Maria, Campo, Flaminia, Dona’, Maria Gabriella, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Petruzzi, Gerardo, Pichi, Barbara, Tuderti, Gabriele, Bellato, Vittoria, Grande, Michele, Petagna, Lorenzo, Sensi, Bruno, Bruzzaniti, Placido, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, D’ambrosio, Giancarlo, De Toma, Giorgio, Familiari, Pietro, Fonsi, Giovanni Battista, Pata, Francesco, Picchetto, Andrea, Salvati, Maurizio, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, Ibrahim, Mohsen, Menna, Cecilia, Rendina, Erino Angelo, Accarino, Giulio, Giancarlo, Accarino, Froiio, Caterina, Copelli, Chiara, Di Maio, Pasquale, Giudice, Marco, Altana, Cristian, Ciccarello, Sandro, Cossu, Maria Laura, Dessole, Francesco, Dettori, Salvatora, Madonia, Massimo, Petrillo, Marco, Piredda, Franco, Rizzo, Davide, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Marano, Luigi, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Roviello, Franco, Abrate, Alberto, Clarizia, Guglielmo, Franzini, Marco, Fratto, Antonio, Grechi, Alessandro, Scarnecchia, Elisa, Maiuri, Vincenzo, Dalprà, Francesca, Battistella, Enrico, Romano, Maurizio, Aizza, Giada, de Manzini, Nicolò, Drigo, Davide, Mastronardi, Manuela, Palmisano, Silvia, Bardelli, Laura, Borroni, Giacomo, Livraghi, Lorenzo, Palumbo, Mara, Zullo, Alessandra, Vignotto, Chiara, Caravati, Andrea, De Cristofaro, Carlotta, Giuliani, Tommaso, Guglielmi, Alfredo, Pedrazzani, Corrado, Butturini, Giovanni, Moretto, Gianluigi, Mastriale, Francesco, Olmi, Stefano, Kushikata, Tetsuya, Oyama, Tasuku, Kamiyama, Mizue, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Deguchi, Yoshihiko, Hoshino, Tatsuki, Inoue, Hiroyuki, Ito, Shingo, Takano, Emi, Yamamoto, Masae, Matsuki, Yuka, Matsumoto, Takashi, Sawada, Atsushi, Sato, Kozo, Makino, Jun, Mizota, Toshiyuki, Yonekura, Hiroshi, Ishikawa, Haruka, Kaiho, Yu, Ogawa, Munehiro, Endo, Shunji, Fujiwara, Yoshinori, Kubota, Hisako, Okada, Toshimasa, Hisamatsu, Yoji, Michiura, Taku, Satoshi, Okazaki, Fujita, Tomoyuki, Fukushima, Satsuki, Otsuka, Yuji, Sawada, Ikumi, Miyamoto, Morikazu, Isada, Tetsuro, Bani Amer, Qaed, Fujimoto, Yuki, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, Kuroda, Naoto, Okamura, Yukiyasu, Uesaka, Katshuhiko, Kuroda, Kento, Abe, Nobutsugu, Ando, Tadao, Hirano, Kouichi, Kobayashi, Yoichi, Motoyasu, Akira, Noguchi, Hikari, Tajima, Atsushi, Toyama, Satoshi, Uchida, Tokujiro, Furukawa, Yuri, Hasumi, Yoko, Iida, Katsuyuki, Ikeda, Tatsuhiko, Kuzuhara, Shigeki, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Kawai, Akira, Nakata, Yoshinori, Sawamura, Shigehito, Kobayashi, Takayuki, Alqudah, Majdi Ali, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Omari, Rand Y., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, Ayasra, Faris, Ghayada, Ibrahim, Hasanein, Khaled Moh’d Ahmed, Hassouneh, Anas, Hijazeen, Raid, Khasawneh, Barihan, Semrin, Qusai, Theab, Mohammad, Abazeed, Alaa, Alkurdieh, Moh’d Mujahed, Hammouri, Mohammad, Khader, Sereen, Abu Obead, Hamza, Abudari, Hadeel, Al-azzeh, Nimer, Al-Darabah, Ali, Al-Qannas, Mohammad, Ashour, Subhi, Chabaan, Reem, Fawzi, Ahmad, Haij, Manal, Hassouneh, Esraa, Ibrahim, Zainab, Mohamed, Ishak, Qandeel, Mahmoud, Qassem, Faisal, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, Abuleil, Amro, Abou Chaar, Mohamad K., Al-latayfeh, Motasem, Al-Shudifat, Abdel-Ellah, Shaikh Ahmad, Abd Almonem, Abu Abed, Laith, Allouzi, Mohammad, Almi’ani, Sari, Alsaiad, Abdulhakim, Daoud, Maher, Dawod, Omar, Fadli, Saba, Jimaale, Elmi Ahmed Mohamed, Qulaghassi, Zaki, Al-howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al-Dabaa, Tawfik, Al-Jarrah, Salsabeel, Alshannaq, Qutaiba, Alsulaiman, Rima, Audat, Ziad, Bdour, Saja, Khatatbeh, Ro’a, Marji, Fares, Abu Ismail, Dima.Y, Abu-Ismail, Luai, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Kulimbet, Mukhtar, Sakhov, Orazbek, Fakhradiyev, Ildar, Tanabayeva, Shynar, Zhussupov, Baurzhan, Amrayev, Sultan, Kukubassov, Yerlan, Parker, Robert, Mwaria, Claude, Kibunyi, Muthoni, Mailu, Claire, Osea, Lydia, Hirsi, Omar, Dashti, Mustafa, Aldalal, Shuaib, Alozairi, Ous, Al-Shaiji, Tariq, Alhunaidi, Omar, Aljewaied, Ali, Farag, Ahmed, Termos, Salah, Sivins, Armands, Apse, Ingus Arnolds, Kaminskis, Aleksejs, Pāvulāns, Jānis, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Tamoos, Khalil, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Al maadany, Faraj, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, Alansari, Arowa hassan abdulrahman, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Khel, Samer, Yousef, Rowaida, Abuhlaiga, Ma’aly, Abushahma, Ahmed omar, Aldelensi Alzubi, Alhosen Saleh M, Alnehum, Mohamed alnaser, Alzedam, Ahmad, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Kamoka, Elhusain, Salamah, Abdulrauf, Abdeewi, Saedah, Eshnaf, Mabroka, Yahmad, Mohammad, Aljuroushi, Omar, Attia, Hajer, Emran, Ayyah, Samer, Ashraf, Abdullah, Duha milad, Ben esmael, Esraa, Benmasoud, Fatma, Debri, Laila, Younis, Balkees, Elmabrouk, Amna, Hasan, Ameerah Mahdi Abraheem, Suliaman, Taha, Alawami, Mohammed, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Ellojli, Ibrahim, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, Alayan, Mohammed, Ben Hasan, Hayat, Shaban Ben Hasan, Najat, Shaban Ben Hasan, Rabab, Dambrauskas, Zilvinas, Dekeryte, Inga, Koženiauskaitė, Akvilė, Maleckas, Almantas, Venclauskas, Linas, Zilinskas, Justas, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Jurgaitis, Jonas, Mikutaitis, Vytenis, Samalavicius, Narimantas Evaldas, Slepavicius, Algirdas, Vasiliauskas, Bernardas, Dulskas, Audrius, Cekauskas, Albertas, Gulla, Aiste, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, Samison, Luc Hervé, Tsiambanizafy, Guillaume Odilon, Solo, Corinne Eulalie, Safiry Andofenohasina, Fanonjomahasoa, Sablon Herinirina, Angelin, Das, Andre, Osman, Mohd Firdauss, Soh, Jien Yen, Zakaria, Zaidi, Chan, Kheng Hooi, Johan, Syamim, Mah, Jin Jiun, Subramaniam, Sentilnathan, Ibrahim, Mohd Razali, Nazimi, Abd Jabar, Bal, Pavin, Fadzli, Ahmad nazran, Jamaris, Suniza, Lee, Yeong Sing, Lim, Jeffery Zk, Moh Pauzi, Siti Farhan, Nair, Ashvin Krishna, Ng, Doris Sin Wen, Ng We Yong, Yuki Julius, Roslani, April Camilla, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Munjih, Islah, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul Rauf bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Abdul Rahman, Noorneza, Firman, Fatin, Hazleigh, Nik Mohd, Mohd Miswan, Mohd Fairudz, Mohd Zahid, Akmal Zulayla, Yahaya, Mohd Yusoff bin Yahaya, Yusoff, Ahmad Ramzi, Darryl, Brincat, Svetlana, Caruana, Clifford, Chircop, Daniel Mario, Czok, Viktoria, Muscat, Esther, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Jonathan Rubén, Cedillo Rodrìguez, Rojas Aguilar, Antonio, Sosa Duran, Erik Efrain, Arroyo, Diego, Martinez-Said, Hector, Medina-Franco, Heriberto, Pérez de León Vázquez, Martha Patricia, Soto Hernández, Fidel, Stenner, Juan Ignacio, Zuloaga Fernandez del Valle, Carlos Jose, Colunga Tinajero, Carlos Andres, Yanowsky-Reyes, Guillermo, Camacho Gomez, Aldo, Cueva-Martinez, Esteban, Durán Anguiano, Oscar, García Castillo, Miguel, Gonzalez Ojeda, Alejandro, González-García de Rojas, Erick Alonso, Guzman Barba, Jose Aldo, Ibarrola Peña, Juan Carlos, Íñiguez Martínez, César, Llamas- Macias, Francisco Javier, Ambriz Gonzalez, Gabriela, Morales valencia, Eduardo, Santos, Blanca, Torres Cisneros, Juan Roberto, Bozada-Gutiérrez, Katya, Alvarez, Maria Regina, de la Rosa Abaroa, Marco Antonio, Hernandez, Roberto, Bernardo, Anaya, Ernesto, Arceo-Olaiz, Ricardo, Lopez Flores, Sonia, Esparza Arias, Nereida, Romero Bañuelos, Esmeralda, Salcedo-Hernández, Rosa, Buerba, Gabriela Alejandra, Chan, Carlos, Garay Lechuga, Daniel, Hinojosa, Carlos, Mercado, Miguel Ángel, Peña Gómez Portugal, Emmanuel, Posadas-Trujillo, Oscar Emmanuel, Hernandez Skewes, Karla Yareli, Licona-Meníndez, Roque Delfino, Romero Lechuga, Fernanda, Roque, Oscar, Núñez-González, Roberto Ángel, Alvarez Manilla Orendain, Alfonso, Garcia, Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate Saenz, David, Zavala gonzalez, Miguel angel, Andrade González, Francisco, Cortes, Ludivina, Gurghiș, Radu, Sanjaa, Burmaa, Ait benhamou, Rita, Rghioui, Mounir, Saaf, Sarra, Letrache, Ahmed, Zekhnini, Meryem, Abichou, Wijden, Baroudi, Salma, Hassoun, Chiraz, Zaim, Ouijdane, Arkha, Yasser, Bechri, Hajar, Benchekroun Belabbes, Meryem, Benslimane, Zaineb, Boualila, Lina, El Ouahabi, Abdessamad, Essakalli Hossyni, Leila, Tagmouti, Adam, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Ndayishyigikiye, Marcel Didier, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Bhusal, Subarna, Dwa, Yam, Bloemers, Frank, Besselink, Marc, van Amstel, Paul, Smeele, Ludi, Harlaar, Niels, van der Burg, Sjirk, Noltes, Milou, Steinkamp, Pieter, Franken, Josephine, Oosterling, Steven, Nolte, Peter, Alwayn, Ian, Braat, Andries, Goudsmit, Ben, van de Leemkolk, Fenna E.M., Albers, Kim, Van Goor, Harry, van Ginhoven, Tessa M., Schweitzer, Donald, Leclercq, Wouter, Vancoillie, Peter-Jan, Konsten, Joop, den Boer, Frank, Djamali, Kaveh, Ghamri, Naji, Joseph, Reece, Lie, Samuel, Olliff, Sue, Wood, Daniel, Furkert, Chris, Teague, Rebecca, Lim, Eric, Mclauchlan, Jared, Ailabouni, Ramez, Alqassab, Mohammed, Hawkins, Robyn, Baker, Joseph, Ou, Cindy Xin Yi, Singh, Vidit, Frunt, Brytt, Lakshman, Prashant, Henderson, Nigel, Ha, Jeong, Haimona, Maira, Jury, Steffanie, Weeratunga, George, Witcomb Cahill, Henry, Abdussalam, Hameedat Opeyemi, Ahmed, Aminat Olayinka, Adeyeye, Ademola, Kayode-Nissi, Victor, Kadiri, Innih, Oduah, Stella, Olaogun, Julius, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Ja’afar, Abubakar Bappah, Ja’afaru, Umma Hani, Yakubu Mohammed, Husseini, Edetanlen, Ekaniyere, Iribhogbe, Oseihie, Irowa, Omorodion, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Akanni, Bolaji, Ezomike, Uchechukwu, Okoro, Kelechukwu, Okwara, Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Lawal, Taiwo Akeem, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Ademuyiwa, Adesoji, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Seyi-Olajide, Justina, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Okunlola, Abiodun, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Adisa, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Wuraola, Funmilola, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Kache, Stephen, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Sale, Danjuma, Takai, Idris Usman, Aji, Sani Ali, Anyanwu, Lofty-John, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Okereke, Chukwuma, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, Oyelowo, Nasir, Tolani, Musliu Adetola, Filipce, Venko, Rendevski, Vladimir, Shuntov, Blagoj, Todorovic, Lazar, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Asha, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Zainab, Al Farsi, Maather, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Riyami, Nihal, Al shaibi, Maha, Al-Mujaini, Abdullah, AlBusaidi, Hanadi, Alwashahi, Mohammed, Alzadjali, Adil, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Laghari, Farman Ali, Manjunatha, attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Naiya, Hafsa Ismail Ibrahim, Pillai, Silja, Rahim, Ferdous, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Sultan, Rizwan, Syed, Danish, Ur Rehman, Ishtiaq, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha yurf, Haider Bangash, Ali, Ahmed, Arooj, Ansar, Mehwish, Arslan, Muhammad, Ashraf, Sumaira, Irshad, Abeer, Khan, Farheen, Shami, Dr Ali, Ul Haq, M Burhan, Waqar, Shahzad Hussain, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhund, Ramsha, Chishti, Uzma, Haroon, Waqqas, Kassam, Nausheen, Kazmi, Abbas, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Mubarik, Areeba, Naz, Falak, Qamar, Javeria Bilal, Sadia, Haleema, Safri, Mohammad, Sattar, abida K., Siddiqui, Muhammad Ahsan Iqbal, Waqar, Usama, Kerawala, Asad Ali, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Rai, Lajpat, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Zia, Kashif, Ali Shaikh, Shafqat, Ayub, Bushra, Hussaini, Dr, Kamal, Wajahat, Mughal, Zeeshan Uddin, Nadeem, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Saleem, Shah Masabat, Sayyed, Raza, Shah, Aaqil, Siddiqui, Safia, Tariq, Nida, Zamir, Mehroz, Arif, Hafiz Muhammad, Ahmed, Ehsan, Ahmed, Jawad, Akbar, Bilal, Ali, Abrar Ashraf, Iqbal, Zafar, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Rafi, Yaseen, Saleem, Irfan, Shaukat, Ayesha, Sikandar, Hafiz Saqib, Tu zahara, Fatima, Ali, Ahsan, Jawad, Muhammad, Noman, Hamza, Taha, Dr Hassan, Raana, Dr. Gul e, Qadir, Muhammad Ghulam, Ali, Imran, Asjad, Muhammad, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bhatti, Samiullah, Butt, Usman, Chishti, Muhammad Haris, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Khan, Rohma, Latif, Usman, Majeed, Faizan, Malik, Kiren, Nabi, Muhammad shoaib, Sadiq, Muhammad Hamza, Saeed, Komal, Sarfraz, Kiran, Sohail, Rubina, Syed muhammad, Bilal, Umair, Usama, Wasim, Shafqat, Wasim, Tayyiba, Imran Anwar, Muhammad, Ali, Ammar, Aslam, Muhammad, Sher e Murtaza, Muhammad, Farooq, Umer, Ahmad, Siddique, Faizi, Fouzia, Khan, Hamza, Mabood, Waleed, Akhtar, Muhammad Shaheer, Amin, Hasbi Allah, Ayub, Bakhtawar, Basir, Muhammad, Gul, Hina, Khan, Muhammad faisal, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Shafqat, Tanveer, Ur Rehman, Shams, Daud, Mashal, Abid, Rubaba, Farkhanda, Tallat, Malik, Sobia, Salim, Ruqyyah, Shaheen, Aneela, Ahmed, Faryal, Amjid, Zarafshan, Ishtiaq, Daniyal, Javed, Saad, Nagra, Ramisha Naseer, Saleem, Maleeha, Saleem, Bushra, Shabbir, Raja Khalid, Yaqoob, Eesha, Shaheen, Azka, Awad, Hadeel, Wafi, Dalia, Al-Slaibi, Ibrahim, I. A. 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Anna, Getz, Anne, Harmon, Laura, McIntyre, Robert, Meguid, Robert, Rodriguez, Kenny, Scott, Christopher, Steward, Lauren, Stewart, Camille, Thieu, Daniel, Velopulos, Catherine, Vogel, Jon, Bengtson, Erika, Hill, Charles, Holan, Cole, Kay, Hannah, McElhinney, Kathryn, Osterberg, E. Charles, Rossano, Ayane, Trust, Marc, Bigelow, Benjamin, Jain, Amit, Yesantharao, Lekha, Zhang, Bo, Abdou, Hossam, Mazzeffi, Michael, Rock, Peter, Afshar, Salim, Carlson, Laura, Incorvia, Joseph, Kurtz, Michael, Meara, John G., Nathan, Meena, Taghinia, Amir, Williams, Vivian, Cooper, Zara, Mahvi, David, Okafor, Barbara, Roxo, Vanessa, Burks, Ciersten, Jabbour, Nicolette, Sabra, Joseph, Wason, Shaun, Dorken Gallastegi, Ander, Gebran, Anthony, McTague, Michael, Reinke, Caroline, Ross, Samuel, Alvarado, Rosalinda, Bhama, Anuradha, Govekar, Henry, Kokosis, George, Millikan, Keith, Myers, Jonathan, Pappas, Sam, Siparsky, Nicole, Tsambarlis, Peter, Quillin, Ralph, Ekrami, Elyad, Kai, Li, Decker, Cassie, Aoun, Salah, Kwon, David, Barbas, Andrew, Dotters-Katz, Sarah K., Ellett, Tressa, Flamant, Etienne, Lazarides, Alexander, Refaat, Motasem, Soderlund, Torre, Velasquez, Camilo, Arrangoiz, Rodrigo, Mijares Olivo, Maria Fernanda, Vasudevan, Vanitha, Katz, Matthew, Nguyen, Huan, Pieretti, Alberto, Roland, Christina L, Baral, Perel, Beahm, D. 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Matthew, Ruzgar, Nensi Melissa, Alqunaibit, Dalia, Liveris, Anna, McNelis, John, Goldstein, Carma, Nguyen, Anh, Rattigan, Deviney, Solar, Sara, Tsui, Grace, Gaitanidis, Apostolos, Fitzmaurice, Laura, Jutric, Zeljka, Tay Lasso, Erika Linmey, Yamamoto, Maki, Meola, Antonio, Holena, Daniel, Imran, Jonathan, Lorenzi, Cara, Huckaby, Lauren, Hamandi, Mohanad, Lanfear, Allison T., Squiers, John, Behm, Kevin, Boughey, Judy, Reisenauer, Janani, Shawki, Sherief, Wigle, Dennis, Elshabrawy, Ahmed, Mansour, Ahmed, Todd, Grace Ihsiu, Yan, Qi, Curry, Terry, Abel, Mary Kathryn, Andaya, Veronica, Boeck, Marissa, Chen, Lee-may, Compadre, Amanda, Ha, Patrick, Kratz, Johannes R, Lane, Rondall, Lee, Rex H, Ozgediz, Doruk, Varma, Madhulika, Zimel, Melissa, Escobar, Pedro, Azam, Mohammad, Hammond, Eric, Marx, William, Angel, Carol, Seegert, Sara, Stanek, Stephen, Sumra, Hibba, Fischer, Anne, Henry, Jaymie, Lottenberg, Lawrence, Kelly, John, Scott, Erin, Bonilla Cal, Fernando, Haro, Camila, Álvarez, Sofia, Carbajal, Ana Carmen, PereiraNuñez, Diego, Tarigo, Josefina, Al-saban, Rafat, Al-Eryani, Fatima, Reem, Al sanany, Ghadeer, Al-jarmozi, Buthina, Al-ameri, Saba, Al-Shehari, Mohammed, Al-surimi, Dhyia Alhuq, Alakhdury, Amira, ALhumaida, Adnan, Aljabri, Maniee, ALodine, Marwa, Alqudaimi, Basma, Alsabri, Mohammed, Alsayadi, Musaed, Atiah, Nora, Sayad, Shaima, Shukri, Amal, Zeid, Shahd, Abdullah, Nabila, Al-Garadi, Abdulrahman Faisal, Ali Al-Radhi, Ahmed M., Naji, Norhan, Al-madhrahi, Ahmed, Al-maswari, Sakhr Abdulhakeem, Al-Raimi, Ibrahim, Alshargabi, Haneen, Mkandawire, Catherine, Nkole, Theresa, Chivanga, Shelton, Dube, Handsome, Mangena, Moses, Moyo, Nkosikhona, Tshuma, Oltah, Gwini, Grace, Moyana Muguto, Vimbai, Mushawarima, Trust, Shoko, Tinashe, Siamuchembu, Maphios, Jamela, Rorisang, Machiri, Marvellous, Mushiwokufa, Willard, Chimhina, Maxwell, Chinyowa, Simbarashe, Glasbey, James, Ademuyiwa, Adesoji, Adisa, Adewale, AlAmeer, Ehab, Arnaud, Alexis P, Ayasra, Faris, Azevedo, José, 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Yow, L, Boyle, C, Brady, R, Cheekoty, P, Cheong, J, Chew, SJHL, Chow, R, Ganewatta Kankanamge, D, Mamer, L, Mohammed, B, Ng Chieng Hin, J, Renji Chungath, R, Royston, A, Sharrad, E, Sinclair, R, Tingle, S, Treherne, K, Wyatt, F, Maniarasu, VS, Moug, S, Appanna, T, Bucknall, T, Hussain, F, Owen, A, Parry, M, Parry, R, Sagua, N, Spofforth, K, Yuen, ECT, Bosley, N, Hardie, W, Moore, T, Regas, C, Abdel-Khaleq, S, Ali, N, Bashiti, H, Buxton-Hopley, R, Constantinides, M, D’Afflitto, M, Deshpande, A, Duque Golding, J, Frisira, E, Germani Batacchi, M, Gomaa, A, Hay, D, Hutchison, R, Iakovou, A, Iakovou, D, Ismail, E, Jefferson, S, Jones, L, Khouli, Y, Knowles, C, Mason, J, McCaughan, R, Moffatt, J, Morawala, A, Nadir, H, Neyroud, F, Nikookam, Y, Parmar, A, Pinto, L, Ramamoorthy, R, Richards, E, Thomson, S, Trainer, C, Valetopoulou, A, Vassiliou, A, Wantman, A, Wilde, S, Dickinson, M, Rockall, T, Senn, D, Wcislo, K, Zalmay, P, Adelekan, K, Allen, K, Bajaj, M, Gatumbu, P, Hang, S, Hashmi, Y, Kaur, T, Kawesha, A, Kisiel, A, Woodmass, M, Adelowo, T, Ahari, D, Alhwaishel, K, Atherton, R, Clayton, B, Cockroft, A, Curtis Lopez, C, Hilton, M, Ismail, N, Kouadria, M, Lee, L, MacConnachie, A, Monks, F, Mungroo, S, Nikoletopoulou, C, Pearce, L, Sara, X, Shahid, A, Suresh, G, Wilcha, R, Atiyah, A, Davies, E, Dermanis, A, Gibbons, H, Hyde, A, Lawson, A, Lee, C, Leung-Tack, M, Li Saw Hee, J, Mostafa, O, Nair, D, Pattani, N, Plumbley-Jones, J, Pufal, K, Ramesh, P, Sanghera, J, Saram, S, Scadding, S, See, S, Stringer, H, Torrance, A, Vardon, H, Wyn-Griffiths, F, Brew, A, Kaur, G, Soni, D, Tickle, A, Akbar, Z, Appleyard, T, Figg, K, Jayawardena, P, Johnson, A, Kamran Siddiqui, Z, Lacy-Colson, J, Oatham, R, Rowlands, B, Sludden, E, Turnbull, C, Allin, D, Ansar, Z, Azeez, Z, Dale, VH, Garg, J, Horner, A, Jones, S, Knight, S, McGregor, C, McKenna, J, McLelland, T, Packham-Smith, A, Rowsell, K, Spector-Hill, I, Adeniken, E, Baker, J, Bartlett, M, Chikomba, L, Connell, B, Deekonda, P, Dhar, M, Elmansouri, A, Gamage, K, Goodhew, R, Hanna, P, Knight, J, Luca, A, Maasoumi, N, Mahamoud, F, Manji, S, Marwaha, PK, Mason, F, Oluboyede, A, Pigott, L, Razaq, AM, Richardson, M, Saddaoui, I, Wijeyendram, P, Yau, S, Atkins, W, Liang, K, Miles, N, Praveen, B, Ashai, S, Braganza, J, Common, J, Cundy, A, Davies, R, Guthrie, J, Handa, I, Iqbal, M, Ismail, R, Jones, C, Jones, I, Lee, KS, Levene, A, Okocha, M, Olivier, J, Smith, A, Subramaniam, E, Tandle, S, Wang, A, Watson, A, Wilson, C, Chan, XHF, Khoo, E, Montgomery, C, Norris, M, Pugalenthi, PP, Common, T, Cook, E, Mistry, H, Shinmar, HS, Agarwal, G, Bandyopadhyay, S, Brazier, B, Carroll, L, Goede, A, Harbourne, A, Lakhani, A, Lami, M, Larwood, J, Martin, J, Merchant, J, Pattenden, S, Pradhan, A, Raafat, N, Rothwell, E, Shammoon, Y, Sudarshan, R, Vickers, E, Wingfield, L, Ashworth, I, Azizi, S, Bhate, R, Chowdhury, T, Christou, A, Davies, L, Dwaraknath, M, Farah, Y, Garner, J, Gureviciute, E, Hart, E, Jain, A, Javid, S, Kankam, HK, Kaur Toor, P, Kaz, R, Kermali, M, Khan, I, Mattson, A, McManus, A, Murphy, M, Nair, K, Ngemoh, D, Norton, E, Olabiran, A, Parry, L, Payne, T, Pillai, K, Price, S, Punjabi, K, Raghunathan, A, Ramwell, A, Raza, M, Ritehnia, J, Simpson, G, Smith, W, Sodeinde, S, Studd, L, Subramaniam, M, Thomas, J, Towey, S, Tsang, E, Tuteja, D, Vasani, J, Vio, M, Badran, A, Adams, J, Anthony Wilkinson, J, Asvandi, S, Austin, T, Bald, A, Bix, E, Carrick, M, Chander, B, Chowdhury, S, Cooper Drake, B, Crosbie, S, D Portela, S, Francis, D, Gallagher, C, Gillespie, R, Gravett, H, Gupta, P, Ilyas, C, James, G, Johny, J, Jones, A, Kinder, F, MacLeod, C, Macrow, C, Maqsood-Shah, A, Mather, J, McCann, L, McMahon, R, Mitham, E, Mohamed, M, Munton, E, Nightingale, K, O‚ÄôNeill, K, Onyemuchara, I, Senior, R, Shanahan, A, Sherlock, J, Spyridoulias, A, Stavrou, C, Stokes, D, Tamang, R, Taylor, E, Trafford, C, Uden, C, Waddington, C, Yassin, D, Zaman, M, Bangi, S, Cheng, T, Chew, D, Hussain, N, Imani-Masouleh, S, Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Shah, K, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Kyriacou, H, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Smith, M, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Gupta, S, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Nazarian, S, Parmar, C, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, Lindsay, J, McClung, A, McLaughlin, N, Watson, S, Whiteside, E, Alyacoubi, S, Arumugam, V, Beg, R, Dawas, K, Garg, S, Lloyd, ER, Mahfouz, Y, Manobharath, N, Moonesinghe, R, Morka, N, Patel, K, Prashar, J, Yip, S, Adeeko, ES, Ajekigbe, F, Bhat, A, Evans, C, Farrugia, A, Gurung, C, Long, T, Malik, B, Manirajan, S, Newport, D, Rayer, J, Ridha, A, Ross, E, Saran, T, Sinker, A, Waruingi, D, Allen, R, Al Sadek, Y, Alves do Canto Brum, H, Asharaf, H, Ashman, M, Balakumar, V, Barrington, J, Baskaran, R, Berry, A, Bhachoo, H, Bilal, A, Boaden, L, Chia, WL, Covell, G, Crook, D, Dadnam, F, Davis, L, De Berker, H, Doyle, C, Fox, C, Gruffydd-Davies, M, Hafouda, Y, Hill, A, Hubbard, E, Hunter, A, Inpadhas, V, Jamshaid, M, Jandu, G, Jeyanthi, M, Jones, T, Kantor, C, Kwak, SY, Malik, N, Matt, R, McNulty, P, Miles, C, Mohomed, A, Myat, P, Niharika, J, Nixon, A, O‚ÄôReilly, D, Parmar, K, Pengelly, S, Price, L, Ramsden, M, Turnor, R, Wales, E, Waring, H, Wu, M, Yang, T, Ye, TTS, Zander, A, Zeicu, C, Bellam, S, Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Cheung, J, Hollingshead, J, Page, V, Sugarman, J, Wong, E, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Kennedy, N, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, Smith, H, Al Bakry, M, Ashwell, W, Bajaj, S, Bandyopadhyay, D, Browlee, O, Burway, S, Chand, CP, Elsayeh, K, Elsharkawi, A, Evans, E, Ferrin, S, Fort-Schaale, A, Iacob, M, I, K, Impelliziere Licastro, G, Mankoo, AS, Olaniyan, T, Otun, J, Pereira, R, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Houlden, C, Knight, C, Metezai, H, Mirza-Davies, A, Seymour, Z, Spink, D, and Wischhusen, S
Abstract: Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
Published: 2024
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6. PREDICTORS OF MORTALITY AND POOR FUNCTIONAL OUTCOME IN PATIENTS WITH ACUTE STROKE ADMITTED TO A TERTIARY CARE HOSPITAL IN PAKISTAN

Author: LUQMAN, S, primary, MUMTAZ, A, additional, KULSOOM, S, additional, AHMED, S, additional, MALIK, A, additional, and HAIDER, SA, additional
Published: 2023
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7. Impact of green training on environmental performance through mediating role of competencies and motivation

Author: Yafi, E, Tehseen, S, Haider, SA, Yafi, E, Tehseen, S, and Haider, SA
Abstract: This work aims to examine the impact of green training on green environmental performance through the mediating role of green competencies and motivation on the adoption of green human resource management. The convenience sampling technique was employed to collect data through an online survey undertaken at public and private universities in Malaysia. The analyses were conducted using the Statistical Package for the Social Sciences (SPSS) v.25 and Smart PLS v.3 software, with the aim of testing the predefined hypotheses. It was revealed that green training has a significant impact on green environmental performance, and all six dimensions of green competencies, namely, skills, abilities, knowledge, behavior, attitude and awareness, were also green motivations. Both green competencies and motivations positively and significantly mediated the relationship between green training and environmental performance.
Published: 2021

8. Reproducibility of the Oxford Classification of IgA nephropathy, impact of biopsy scoring on treatment allocation and clinical relevance of disagreements: evidence from the VALIGA study cohort

Author: Bellur, S, Roberts, ISD, Troyanov, S, Royal, V, Coppo, R, Cook, HT, Cattran, D, Terroba, YA, Asunis, AM, Bajema, I, Bertoni, E, Bruijn, JA, Cannata-Ortiz, P, Casartelli, D, Di Palma, AM, Ferrario, F, Fortunato, M, Furci, L, Gakiopoulou, H, Ljubanovic, DG, Giannakakis, K, Gomà, M, Gröne, H-J, Gutiérrez, E, Haider, SA, Honsova, E, Ioachim, E, Karkoszka, H, Kipgen, D, Maldyk, J, Mazzucco, G, Orhan, D, Ozluk, Y, Pantzaki, A, Perkowska-Ptasinska, A, Riispere, Z, Soderberg, M, Steenbergen, E, Stoppacciaro, A, Sundelin, B, and Tardanico, R
Subjects: immunosuppression, kidney biopsy, Oxford classification, 1103 Clinical Sciences, IgA nephropathy, proteinuria, Urology & Nephrology
Abstract: Objective & Methods: The VALIGA study investigated the utility of the Oxford Classification of IgA nephropathy (IgAN) in 1147 patients from 13 European countries. Biopsies were scored by local pathologists followed by central review in Oxford. We had two distinct objectives: to assess how closely pathology findings were associated with the decision to give corticosteroid/immunosuppressive treatments (CS/IS), and to determine the impact of differences in MEST-C scoring between central and local pathologists on the clinical value of the Oxford Classification. We tested for each lesion the associations between the type of agreement (local and central pathologists scoring absent, local present-central absent, local absent-central present, both scoring present) with the initial clinical assessment, as well as long-term outcomes in those patients who did not receive CS/IS. Results: All glomerular lesions (M, E, C and S) assessed by local pathologists were independently associated with the decision to administer CS/IS therapy whilst the severity of tubulointerstitial lesions was not. Reproducibility between local and central pathologists was moderate for S (segmental sclerosis) and T (tubular atrophy/interstitial fibrosis), and poor for M (mesangial hypercellularity), E (endocapillary hypercellularity), and C (crescents). Local pathologists found statistically more of each lesion, except for the S lesion, which was more frequent with central review. Disagreements were more likely to occur when the proportion of glomeruli affected was low. The M lesion, assessed by central pathologists, correlated better with the severity of the disease at presentation and discriminated better with outcomes. By contrast, the E lesion, evaluated by local pathologists, correlated better with the clinical presentation and outcomes compared to central review. Both C and S lesions, when discordant between local and central pathologists, had a clinical phenotype intermediate to double absent lesions (milder disease) and double present (more severe). Conclusion: We conclude that differences in the scoring of MEST-C criteria between local pathologists and central reviewer have a significant impact on the prognostic value of the Oxford Classification. Since the decision to offer immunosuppressive therapy in this cohort was intimately associated with the MEST-C score, this study indicates a need for a more detailed guidance for pathologists in the scoring of IgAN biopsies.
Published: 2018

9. Road to Enduring Peace in CHT: A Post Insurgency Analysis

Author: Haider, Sarder Ali
Published: 2021
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10. Intraocular vancomycin levels after intravitreal injection in post cataract extraction endophthalmitis

Author: Haider Sa, Hassett P, and Bron Aj
Subjects: medicine.medical_specialty, Time Factors, genetic structures, medicine.drug_class, medicine.medical_treatment, Antibiotics, Biological Availability, Aqueous humor, Cataract Extraction, Eye Infections, Bacterial, Injections, Cataract extraction, Aqueous Humor, Endophthalmitis, Vancomycin, Ophthalmology, Streptococcal Infections, Medicine, Humans, Tissue Distribution, Tissue distribution, Aged, Aged, 80 and over, business.industry, General Medicine, Cataract surgery, Middle Aged, Staphylococcal Infections, medicine.disease, eye diseases, Anti-Bacterial Agents, Vitreous Body, sense organs, business, medicine.drug, Biological availability
Abstract: Intravitreal antibiotics are the mainstay of treatment of endophthalmitis following cataract surgery. The purpose of this study is to determine the range of intraocular vancomycin found after intravitreal therapy and assess the optimum time for repeat injections.Aqueous and vitreous vancomycin was assayed at the time of reinjection in 14 patients with endophthalmitis showing a poor clinical response after their primary injection. Nine patients received vancomycin 2 mg and another five received vancomycin 1 mg. In six patients the injection was repeated at 48 hours and in seven at 72 hours. Two patients received three injections.Aqueous vancomycin varied from 8.4 to 170 mg/L and the vitreous vancomycin level ranged from 21.2 to 220 mg/L.In the current study vitreous vancomycin levels were variable, but well within the therapeutic range for sensitive Gram-positive organisms. At times they exceeded the putative retinotoxic levels (100 mg/L). Higher aqueous levels were found after an injection of 2 mg than after 1 mg. Vancomycin levels were still very high 3 days after injection of 2 mg where results were available. Assay at the time of repeat injection may provide insight into the adequacy of vitreous levels and guide future therapy.
Published: 2001

11. International network of cancer genome projects

Author: Hudson, TJ, Anderson, W, Aretz, A, Barker, AD, Bell, C, Bernabe, RR, Bhan, MK, Calvo, F, Eerola, I, Gerhard, DS, Guttmacher, A, Guyer, M, Hemsley, FM, Jennings, JL, Kerr, D, Klatt, P, Kolar, P, Kusuda, J, Lane, DP, Laplace, F, Lu, Y, Nettekoven, G, Ozenberger, B, Peterson, J, Rao, TS, Remacle, J, Schafer, AJ, Shibata, T, Stratton, MR, Vockley, JG, Watanabe, K, Yang, H, Yuen, MMF, Knoppers, M, Bobrow, M, Cambon-Thomsen, A, Dressler, LG, Dyke, SOM, Joly, Y, Kato, K, Kennedy, KL, Nicolas, P, Parker, MJ, Rial-Sebbag, E, Romeo-Casabona, CM, Shaw, KM, Wallace, S, Wiesner, GL, Zeps, N, Lichter, P, Biankin, AV, Chabannon, C, Chin, L, Clement, B, de Alava, E, Degos, F, Ferguson, ML, Geary, P, Hayes, DN, Johns, AL, Nakagawa, H, Penny, R, Piris, MA, Sarin, R, Scarpa, A, van de Vijver, M, Futreal, PA, Aburatani, H, Bayes, M, Bowtell, DDL, Campbell, PJ, Estivill, X, Grimmond, SM, Gut, I, Hirst, M, Lopez-Otin, C, Majumder, P, Marra, M, Ning, Z, Puente, XS, Ruan, Y, Stunnenberg, HG, Swerdlow, H, Velculescu, VE, Wilson, RK, Xue, HH, Yang, L, Spellman, PT, Bader, GD, Boutros, PC, Flicek, P, Getz, G, Guigo, R, Guo, G, Haussler, D, Heath, S, Hubbard, TJ, Jiang, T, Jones, SM, Li, Q, Lopez-Bigas, N, Luo, R, Pearson, JV, Quesada, V, Raphael, BJ, Sander, C, Speed, TP, Stuart, JM, Teague, JW, Totoki, Y, Tsunoda, T, Valencia, A, Wheeler, DA, Wu, H, Zhao, S, Zhou, G, Stein, LD, Lathrop, M, Ouellette, BFF, Thomas, G, Yoshida, T, Axton, M, Gunter, C, McPherson, JD, Miller, LJ, Kasprzyk, A, Zhang, J, Haider, SA, Wang, J, Yung, CK, Cross, A, Liang, Y, Gnaneshan, S, Guberman, J, Hsu, J, Chalmers, DRC, Hasel, KW, Kaan, TSH, Knoppers, BM, Lowrance, WW, Masui, T, Rodriguez, LL, Vergely, C, Cloonan, N, Defazio, A, Eshleman, JR, Etemadmoghadam, D, Gardiner, BA, Kench, JG, Sutherland, RL, Tempero, MA, Waddell, NJ, Wilson, PJ, Gallinger, S, Tsao, M-S, Shaw, PA, Petersen, GM, Mukhopadhyay, D, DePinho, RA, Thayer, S, Muthuswamy, L, Shazand, K, Beck, T, Sam, M, Timms, L, Ballin, V, Ji, J, Zhang, X, Chen, F, Hu, X, Yang, Q, Tian, G, Zhang, L, Xing, X, Li, X, Zhu, Z, Yu, Y, Yu, J, Tost, J, Brennan, P, Holcatova, I, Zaridze, D, Brazma, A, Egevad, L, Prokhortchouk, E, Banks, RE, Uhlen, M, Viksna, J, Ponten, F, Skryabin, K, Birney, E, Borg, A, Borresen-Dale, A-L, Caldas, C, Foekens, JA, Martin, S, Reis-Filho, JS, Richardson, AL, Sotiriou, C, van't Veer, L, Birnbaum, D, Blanche, H, Boucher, P, Boyault, S, Masson-Jacquemier, JD, Pauporte, I, Pivot, X, Vincent-Salomon, A, Tabone, E, Theillet, C, Treilleux, I, Bioulac-Sage, P, Decaens, T, Franco, D, Gut, M, Samuel, D, Zucman-Rossi, J, Eils, R, Brors, B, Korbel, JO, Korshunov, A, Landgraf, P, Lehrach, H, Pfister, S, Radlwimmer, B, Reifenberger, G, Taylor, MD, von Kalle, C, Majumder, PP, Pederzoli, P, Lawlor, RT, Delledonne, M, Bardelli, A, Gress, T, Klimstra, D, Zamboni, G, Nakamura, Y, Miyano, S, Fujimoto, A, Campo, E, de Sanjose, S, Montserrat, E, Gonzalez-Diaz, M, Jares, P, Himmelbaue, H, Bea, S, Aparicio, S, Easton, DF, Collins, FS, Compton, CC, Lander, ES, Burke, W, Green, AR, Hamilton, SR, Kallioniemi, OP, Ley, TJ, Liu, ET, Wainwright, BJ, Hudson, TJ, Anderson, W, Aretz, A, Barker, AD, Bell, C, Bernabe, RR, Bhan, MK, Calvo, F, Eerola, I, Gerhard, DS, Guttmacher, A, Guyer, M, Hemsley, FM, Jennings, JL, Kerr, D, Klatt, P, Kolar, P, Kusuda, J, Lane, DP, Laplace, F, Lu, Y, Nettekoven, G, Ozenberger, B, Peterson, J, Rao, TS, Remacle, J, Schafer, AJ, Shibata, T, Stratton, MR, Vockley, JG, Watanabe, K, Yang, H, Yuen, MMF, Knoppers, M, Bobrow, M, Cambon-Thomsen, A, Dressler, LG, Dyke, SOM, Joly, Y, Kato, K, Kennedy, KL, Nicolas, P, Parker, MJ, Rial-Sebbag, E, Romeo-Casabona, CM, Shaw, KM, Wallace, S, Wiesner, GL, Zeps, N, Lichter, P, Biankin, AV, Chabannon, C, Chin, L, Clement, B, de Alava, E, Degos, F, Ferguson, ML, Geary, P, Hayes, DN, Johns, AL, Nakagawa, H, Penny, R, Piris, MA, Sarin, R, Scarpa, A, van de Vijver, M, Futreal, PA, Aburatani, H, Bayes, M, Bowtell, DDL, Campbell, PJ, Estivill, X, Grimmond, SM, Gut, I, Hirst, M, Lopez-Otin, C, Majumder, P, Marra, M, Ning, Z, Puente, XS, Ruan, Y, Stunnenberg, HG, Swerdlow, H, Velculescu, VE, Wilson, RK, Xue, HH, Yang, L, Spellman, PT, Bader, GD, Boutros, PC, Flicek, P, Getz, G, Guigo, R, Guo, G, Haussler, D, Heath, S, Hubbard, TJ, Jiang, T, Jones, SM, Li, Q, Lopez-Bigas, N, Luo, R, Pearson, JV, Quesada, V, Raphael, BJ, Sander, C, Speed, TP, Stuart, JM, Teague, JW, Totoki, Y, Tsunoda, T, Valencia, A, Wheeler, DA, Wu, H, Zhao, S, Zhou, G, Stein, LD, Lathrop, M, Ouellette, BFF, Thomas, G, Yoshida, T, Axton, M, Gunter, C, McPherson, JD, Miller, LJ, Kasprzyk, A, Zhang, J, Haider, SA, Wang, J, Yung, CK, Cross, A, Liang, Y, Gnaneshan, S, Guberman, J, Hsu, J, Chalmers, DRC, Hasel, KW, Kaan, TSH, Knoppers, BM, Lowrance, WW, Masui, T, Rodriguez, LL, Vergely, C, Cloonan, N, Defazio, A, Eshleman, JR, Etemadmoghadam, D, Gardiner, BA, Kench, JG, Sutherland, RL, Tempero, MA, Waddell, NJ, Wilson, PJ, Gallinger, S, Tsao, M-S, Shaw, PA, Petersen, GM, Mukhopadhyay, D, DePinho, RA, Thayer, S, Muthuswamy, L, Shazand, K, Beck, T, Sam, M, Timms, L, Ballin, V, Ji, J, Zhang, X, Chen, F, Hu, X, Yang, Q, Tian, G, Zhang, L, Xing, X, Li, X, Zhu, Z, Yu, Y, Yu, J, Tost, J, Brennan, P, Holcatova, I, Zaridze, D, Brazma, A, Egevad, L, Prokhortchouk, E, Banks, RE, Uhlen, M, Viksna, J, Ponten, F, Skryabin, K, Birney, E, Borg, A, Borresen-Dale, A-L, Caldas, C, Foekens, JA, Martin, S, Reis-Filho, JS, Richardson, AL, Sotiriou, C, van't Veer, L, Birnbaum, D, Blanche, H, Boucher, P, Boyault, S, Masson-Jacquemier, JD, Pauporte, I, Pivot, X, Vincent-Salomon, A, Tabone, E, Theillet, C, Treilleux, I, Bioulac-Sage, P, Decaens, T, Franco, D, Gut, M, Samuel, D, Zucman-Rossi, J, Eils, R, Brors, B, Korbel, JO, Korshunov, A, Landgraf, P, Lehrach, H, Pfister, S, Radlwimmer, B, Reifenberger, G, Taylor, MD, von Kalle, C, Majumder, PP, Pederzoli, P, Lawlor, RT, Delledonne, M, Bardelli, A, Gress, T, Klimstra, D, Zamboni, G, Nakamura, Y, Miyano, S, Fujimoto, A, Campo, E, de Sanjose, S, Montserrat, E, Gonzalez-Diaz, M, Jares, P, Himmelbaue, H, Bea, S, Aparicio, S, Easton, DF, Collins, FS, Compton, CC, Lander, ES, Burke, W, Green, AR, Hamilton, SR, Kallioniemi, OP, Ley, TJ, Liu, ET, and Wainwright, BJ
Abstract: The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.
Published: 2010

12. Eye gaze fixations for critical targets with concealed knowledge

Author: Haider, Sabah and Bhushan, Braj
Published: 2017
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13. Study and analysis of plate type heat exchanger

Author: Ansari, Numan, Islam, Mohd., and Haider, Sayyed
Published: 2017
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14. Leaf Anatomical Characteristics in Relation to Grain Yield of Wheat (Triticum aestivum L.) Cultivars

Author: Adhikary, SK, primary, Alam, MZ, primary, Haider, SA, primary, and Paul, NK, primary
Published: 1970
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15. Yield and Yield Components of Barley (Hordeum vulgare L.) in Relation to Sowing Times

Author: Alam, MZ, primary, Haider, SA, primary, and Paul, NK, primary
Published: 1970
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16. Effect of Different Rhizobium Strains on the Growth attributes of Black Gram

Author: Nitu, SK, primary, Ud-Deen, MM, primary, and Haider, SA, primary
Published: 1970
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17. Growth analysis in relation to sowing dates in four varieties of wheat: a functional approach

Author: Haider, SA, primary
Published: 1970
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18. Grain growth and yield of whea under different irrigation regimes

Author: Haider, SA, primary, Alam, MZ, primary, and Paul, NK, primary
Published: 1970
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19. Response of Growth Indices in Black Gram due to Rhizobium Inoculation

Author: Nitu, SK, primary and Haider, SA, primary
Published: 1970
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20. Differential Response of Potato under Sodium Chloride Stress Conditions In Vitrio

Author: Rahman, MH, primary, Islam, R, primary, Hossain, M, primary, and Haider, SA, primary
Published: 1970
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21. Impact of Physician Specialty on Treatment Costs of Invasive Melanoma.

Author: Garcia JP, Ho OA, Haider SA, Borna S, Gomez-Cabello CA, Forte AJ, and Spaulding AC
Abstract: Introduction: Melanoma is a deadly type of skin cancer that develops from melanocytes and can manifest on the skin or other regions of the body. Its incidence is increasing rapidly, with approximately 100,000 diagnoses and 7000 deaths per year in the US alone. We conducted a cross-sectional study with the aim of determining an association between the cost of care for invasive melanoma and the specialty involved in the treatment to adequately guide future treatment., Methods: We analyzed data from 3817 patients (2013-2018) using the Florida inpatient/outpatient dataset, CMS cost reports, and the National Plan and Provider Enumeration System. Covariates included age, sex, race/ethnicity, insurance type, region, county rurality, the number of procedures, the comorbidity index, obesity, metastatic cancer presence, hospital size, and physician volume. Multivariable mixed linear regression was used to analyze the data, and the cost was adjusted to the 2019 USD., Results: Dermatology had the largest decrease in the overall and outpatient costs compared to general surgery, followed by plastic surgery. The inpatient costs for dermatology and plastic surgery were lower than those for general surgery, but not significantly so., Conclusions: The costs associated with surgical procedures may vary depending on the specialty of the physician treating the patient. Dermatology was associated with lower treatment costs for invasive melanoma compared to other specialties, indicating that physician specialty influences the cost of care.
Published: 2024
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22. Exploring the influence of teacher-student relationships on Chinese language learning through the mediating role of student's self-efficacy: Foreign language classroom anxiety as a moderator.

Author: An R, Zhang H, Akbar A, and Haider SA
Abstract: This study aims to examine the impact of the teacher-student relationship (TSR) on learning Chinese as a second language among Pakistani students. We also explore the mediating role of student's self-efficacy and the moderating influence of foreign language classroom anxiety (FLCA). Data were collected from 422 Pakistani students enrolled in Chinese language courses using purposive and convenience sampling techniques. The study employed quantitative methods, utilizing the partial least squares-structural equation modeling technique with SmartPLS 4 software. The result revealed that the teacher-student relationship positively and significantly influence on Chinese language learning. Likewise, student's self-efficacy positively and significantly mediates the relationship between TSR and Chinese language learning. Hence, teachers shall demonstrate empathy, treat students fairly, offer praise, and encourage them to boost students' self-efficacy. Lastly, the study found that foreign language classroom anxiety plays a significant and positive moderating role between TSR and student self-efficacy suggesting that effective communication and mutual understanding are key components of a strong TSR. However, the moderating influence of foreign language classroom anxiety between TSR and Chinese language learning is not significant. The study findings offer important empirical, and practical contributions., Competing Interests: Declaration of competing interest The author declares that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)
Published: 2024
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23. Sensor technology and machine learning to guide clinical decision making in plastic surgery.

Author: Avila FR, Borna S, McLeod CJ, Bruce CJ, Carter RE, Gomez-Cabello CA, Pressman SM, Haider SA, and Forte AJ
Abstract: Subjective clinical evaluations are deeply rooted in medical practice. Recent advances in sensor technology facilitate the acquisition of extensive amounts of objective physiological data that can serve as a surrogate for subjective assessments. Along with sensor technology, a branch of artificial intelligence, known as machine learning, has provided decisive advances in several areas of medicine due to its pattern recognition and outcome prediction abilities. The assimilation of machine learning algorithms into sensor technology can substantially improve our current diagnostic and treatment competencies. This review explores available data on the use of sensor technology and machine learning in areas of interest for plastic surgeons, updates current knowledge on the most recent technological advances, and provides a new perspective on the field., (Copyright © 2024 British Association of Plastic, Reconstructive and Aesthetic Surgeons. Published by Elsevier Ltd. All rights reserved.)
Published: 2024
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24. Does renal denervation require cardiovascular outcome-driven data?

Author: Haider SA, Wagener M, Iqbal T, Shahzad S, Del Sole PA, Leahy N, Murphy D, Sharif R, Ullah I, and Sharif F
Subjects: Humans, Cardiovascular Diseases, Blood Pressure physiology, Sympathectomy methods, Treatment Outcome, Denervation methods, Randomized Controlled Trials as Topic, Kidney innervation, Hypertension surgery, Hypertension drug therapy
Abstract: Hypertension is a major driver of cardiovascular disease with a prevalence of 32-34% in adults worldwide. This poses a formidable unmet challenge for healthcare systems, highlighting the need for enhanced treatment strategies. Since 2017, eight major sham-controlled randomised controlled trials have examined the effectiveness and safety of renal denervation (RDN) as therapy for BP control. Although most trials demonstrated a reduction in systolic 24-hour/daytime ambulatory BP compared to control groups, open to discussion is whether major adverse cardiovascular events (MACE)-driven RDN trials are necessary or whether the proof of BP reduction as a surrogate for better cardiovascular outcomes is sufficient. We conducted an analysis of the statistical methods used in various trials to assess endpoint definitions and determine the necessity for MACE-driven outcome data. Such comprehensive analysis provides further evidence to confidently conclude that RDN significantly reduces blood pressure compared to sham controls. Importantly, this enables the interpolation of RDN trial endpoints with other studies that report on outcome data, such as pharmacological trials which demonstrate a significant reduction in MACE risk with a decrease in BP. Moreover, limitations associated with directly evaluating outcome data further support the use of BP as a surrogate endpoint. For example, conducting lengthier trials with larger numbers of participants to ensure robust statistical power presents a substantial challenge to evaluating outcome data. Thus, in light of the crucial need to tackle hypertension, there are notable advantages of considering BP as a surrogate for outcome data., (© 2024. The Author(s).)
Published: 2024
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25. Identification of Pain through Actigraphy-Recorded Patient Movement: A Comprehensive Review.

Author: Torres-Guzman RA, Ho OA, Borna S, Gomez-Cabello CA, Haider SA, and Forte AJ
Abstract: Chronic pain affects over 50 million people in the United States, particularly older adults, making effective assessment and treatment essential in primary care. Actigraphy, which monitors and records limb movement to estimate wakefulness and sleep, has emerged as a valuable tool for assessing pain by providing insights into activity patterns. This review highlights the non-invasive, cost-effective nature of actigraphy in pain monitoring, along with its ability to offer continuous, detailed data on patient movement. However, actigraphy's reliance on physical activity as a proxy for pain, and its inability to directly measure pain intensity, limit its applicability to certain pain types, such as neuropathic pain. Further research is needed to overcome these limitations and to improve the effectiveness of actigraphy in diverse clinical settings.
Published: 2024
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26. Barriers to hospital-at-home acceptance: a systematic review of reasons for patient refusal.

Author: Gomez-Cabello CA, Borna S, Pressman SM, Haider SA, Forte AJ, Cowart JB, and Maniaci MJ
Abstract: Background: Hospital-at-home (H@H) models have gained recognition as a safe and potentially cost-effective solution for the current rising global healthcare needs. However, despite these models' potential, their adoption has been limited partly due to patients refusing care at home. This systematic review analyses the reasons behind their refusal., Methods: We searched five databases: Embase, Google Scholar, PubMed, Scopus, and Web of Science, limiting our search to papers from 2005 to 2024. Our search focused on papers reporting patient-provided reasons for declining treatment in a H@H setting without language or country restrictions. In addition to reasons for refusal, we extracted patient demographics and predictors for refusal to ensure a broad understanding of the factors influencing patient decisions. The quality of the studies included was evaluated using the Mixed Methods Appraisal Tool (MMAT) version 2018., Results: From the 1,067 articles identified, seven met our inclusion criteria. The papers reported reasons from 418 patients participating in diverse H@H models from the United States, United Kingdom, Spain, and Singapore, primarily focusing on acute home-based care. The most common reasons for declination included concerns about model effectiveness, safety at home, preference for in-hospital care, physician advice, family burden, and visitor concerns. Additionally, common significant demographic factors associated with decliners were the enrollment site, partnership or marital status, risk of adverse outcomes, and previous healthcare utilization., Conclusions: Understanding patients' motivations for declining H@H is crucial for its successful implementation. Targeted communication strategies and collaboration between healthcare providers are paramount to ensure that patients understand the benefits and safety of H@H models. Future research should explore effective communication and engagement techniques to address patient apprehensions and broaden H@H adoption., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://mhealth.amegroups.com/article/view/10.21037/mhealth-24-23/coif). The authors have no conflicts of interest to declare., (2024 AME Publishing Company. All rights reserved.)
Published: 2024
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27. Identification of Potential Factors Associated with Cellulitis Following Lymphovenous Bypass Surgery in Breast Cancer Survivors.

Author: Torres-Guzman RA, Avila FR, Maita K, Garcia JP, Eldaly AS, Sario GD, Borna S, Gomez-Cabello CA, Pressman SM, Haider SA, Ho OA, and Forte AJ
Abstract: Background: Breast cancer is one of the most common types of cancer, with around 2.3 million cases diagnosed in 2020. One in five cancer patients develops chronic lymphedema caused by multifactorial triggers and treatment-related factors. This can lead to swelling, skin infections, and limb dysfunction, negatively affecting the patient's quality of life. This retrospective cohort study aimed to determine the associations between demographic and breast cancer characteristics and postoperative cellulitis in breast cancer survivors who underwent lymphovenous bypass surgery (LVB) at Mayo Clinic, Florida., Methods: We performed a retrospective chart review. Data were collected retrospectively from 2016 to 2022. Sixty adult breast cancer survivors who underwent LVB were included in the final analysis based on specific inclusion and exclusion criteria. Patients were excluded if they did not meet the inclusion criteria or had incomplete follow-up data. Demographic and surgical data were extracted, including body mass index (BMI), type of anastomosis, number of anastomoses, and preoperative cellulitis status. Lymphedema measurements were performed using tape measurements. Fisher's exact test was used to determine statistically significant associations between variables and postoperative cellulitis., Results: Postoperative cellulitis was more common in patients aged 60 to 69 years (43.2%), whites (75.0%), overweight or obese (90.9%), with one to four anastomoses (81.8%), and nonsmokers (79.5%). The mean International Society of Lymphology (ISL) criteria for both postoperative cellulitis and no postoperative cellulitis was 1.93. Statistically significant associations with postoperative cellulitis were found for the number of anastomoses ( p = 0.021), smoking status ( p = 0.049), preoperative cellulitis ( p = 0.04), and the length of years with lymphedema diagnosis variable ( p = 0.004)., Conclusion: Our results suggest that a greater number of anastomoses, smoking, preoperative cellulitis, and years with lymphedema are significantly associated with an increased risk of postoperative cellulitis. Awareness of these risk factors is crucial for monitoring and early treatment of infections following surgery., Competing Interests: None declared., (Thieme. All rights reserved.)
Published: 2024
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28. Evaluating Large Language Model (LLM) Performance on Established Breast Classification Systems.

Author: Haider SA, Pressman SM, Borna S, Gomez-Cabello CA, Sehgal A, Leibovich BC, and Forte AJ
Abstract: Medical researchers are increasingly utilizing advanced LLMs like ChatGPT-4 and Gemini to enhance diagnostic processes in the medical field. This research focuses on their ability to comprehend and apply complex medical classification systems for breast conditions, which can significantly aid plastic surgeons in making informed decisions for diagnosis and treatment, ultimately leading to improved patient outcomes. Fifty clinical scenarios were created to evaluate the classification accuracy of each LLM across five established breast-related classification systems. Scores from 0 to 2 were assigned to LLM responses to denote incorrect, partially correct, or completely correct classifications. Descriptive statistics were employed to compare the performances of ChatGPT-4 and Gemini. Gemini exhibited superior overall performance, achieving 98% accuracy compared to ChatGPT-4's 71%. While both models performed well in the Baker classification for capsular contracture and UTSW classification for gynecomastia, Gemini consistently outperformed ChatGPT-4 in other systems, such as the Fischer Grade Classification for gender-affirming mastectomy, Kajava Classification for ectopic breast tissue, and Regnault Classification for breast ptosis. With further development, integrating LLMs into plastic surgery practice will likely enhance diagnostic support and decision making.
Published: 2024
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29. Impact of project managers emotional intelligence on megaprojects success through mediating role of human related agile challenges: Project management as a moderator.

Author: Haider SA, Tehseen S, Koay KY, Poulova P, and Afsar B
Subjects: Humans, China, Male, Female, Pakistan, Adult, Middle Aged, Emotional Intelligence, Leadership
Abstract: Globalization and competition drive rapid adoption of new technologies, leading to a rise in complex projects. Project managers need to know how to lead teams through the planning and execution phases of a project while keeping in line with the organization's objectives. In order to successfully manage complex projects, emotional intelligence is an essential leadership quality. Therefore, the present research aimed to investigate the impact of project manager's emotional intelligence (PMEI) on megaprojects China-Pakistan Economic Corridor (CPEC) success through mediating roles of human-related agile challenges Inventory (HRACI) and project success factors (PSF), and project management as a moderator. The study employed convenience and purposive sampling methods to collect data from 533 project managers working on CPEC projects. The Smart PLS 4 software was utilized to evaluate the hypotheses. The results of this study indicated that the direct effect of a PMEI is not significant on CPEC. However, through mediating variables, HRACI exhibited a negative and significant association, while PSF positively and significantly mediate the relationship among PMEI and CPEC. Furthermore, project management as a moderator has a significant and positive effect on PMEI and PSF, however, insignificant between PMEI and CPEC, and negatively significant among PMEI and HRACI. The findings of this study are of great significance for project managers and project leaders. They will need to acquire the skills to prevent issues from arising, particularly when conflicts emerge, in order to ensure the success of megaproject. Therefore, current study recommend that PMEI appears to have a vital role in social interactions, promoting emotions of trust, efficient communication, and cooperation with other project teams in high-stress work environments like CPEC. Lastly, theoretical and practical contributions are discussed, as well as research constraints and future research directions., Competing Interests: Declaration of competing interest The author declares that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2024
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30. Large Language Models for Intraoperative Decision Support in Plastic Surgery: A Comparison between ChatGPT-4 and Gemini.

Author: Gomez-Cabello CA, Borna S, Pressman SM, Haider SA, and Forte AJ
Subjects: Humans, Language, Plastic Surgery Procedures methods, Decision Support Systems, Clinical, Surgery, Plastic methods
Abstract: Background and Objectives: Large language models (LLMs) are emerging as valuable tools in plastic surgery, potentially reducing surgeons' cognitive loads and improving patients' outcomes. This study aimed to assess and compare the current state of the two most common and readily available LLMs, Open AI's ChatGPT-4 and Google's Gemini Pro (1.0 Pro), in providing intraoperative decision support in plastic and reconstructive surgery procedures. Materials and Methods: We presented each LLM with 32 independent intraoperative scenarios spanning 5 procedures. We utilized a 5-point and a 3-point Likert scale for medical accuracy and relevance, respectively. We determined the readability of the responses using the Flesch-Kincaid Grade Level (FKGL) and Flesch Reading Ease (FRE) score. Additionally, we measured the models' response time. We compared the performance using the Mann-Whitney U test and Student's t-test. Results: ChatGPT-4 significantly outperformed Gemini in providing accurate (3.59 ± 0.84 vs. 3.13 ± 0.83, p -value = 0.022) and relevant (2.28 ± 0.77 vs. 1.88 ± 0.83, p -value = 0.032) responses. Alternatively, Gemini provided more concise and readable responses, with an average FKGL (12.80 ± 1.56) significantly lower than ChatGPT-4's (15.00 ± 1.89) ( p < 0.0001). However, there was no difference in the FRE scores ( p = 0.174). Moreover, Gemini's average response time was significantly faster (8.15 ± 1.42 s) than ChatGPT'-4's (13.70 ± 2.87 s) ( p < 0.0001). Conclusions: Although ChatGPT-4 provided more accurate and relevant responses, both models demonstrated potential as intraoperative tools. Nevertheless, their performance inconsistency across the different procedures underscores the need for further training and optimization to ensure their reliability as intraoperative decision-support tools.
Published: 2024
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31. Comparative Analysis of Large Language Models in Emergency Plastic Surgery Decision-Making: The Role of Physical Exam Data.

Author: Borna S, Gomez-Cabello CA, Pressman SM, Haider SA, and Forte AJ
Abstract: In the U.S., diagnostic errors are common across various healthcare settings due to factors like complex procedures and multiple healthcare providers, often exacerbated by inadequate initial evaluations. This study explores the role of Large Language Models (LLMs), specifically OpenAI's ChatGPT-4 and Google Gemini, in improving emergency decision-making in plastic and reconstructive surgery by evaluating their effectiveness both with and without physical examination data. Thirty medical vignettes covering emergency conditions such as fractures and nerve injuries were used to assess the diagnostic and management responses of the models. These responses were evaluated by medical professionals against established clinical guidelines, using statistical analyses including the Wilcoxon rank-sum test. Results showed that ChatGPT-4 consistently outperformed Gemini in both diagnosis and management, irrespective of the presence of physical examination data, though no significant differences were noted within each model's performance across different data scenarios. Conclusively, while ChatGPT-4 demonstrates superior accuracy and management capabilities, the addition of physical examination data, though enhancing response detail, did not significantly surpass traditional medical resources. This underscores the utility of AI in supporting clinical decision-making, particularly in scenarios with limited data, suggesting its role as a complement to, rather than a replacement for, comprehensive clinical evaluation and expertise.
Published: 2024
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32. Serotype and genomic diversity of dengue virus during the 2023 outbreak in Pakistan reveals the circulation of genotype III of DENV-1 and cosmopolitan genotype of DENV-2.

Author: Jamal Z, Haider SA, Hakim R, Humayun F, Farooq MU, Ammar M, Afrough B, Inamdar L, Salman M, and Umair M
Subjects: Humans, Pakistan epidemiology, Male, Adult, Female, Young Adult, Middle Aged, Adolescent, Child, Child, Preschool, Aged, Infant, Serotyping, RNA, Viral genetics, Dengue Virus genetics, Dengue Virus classification, Dengue Virus isolation & purification, Dengue epidemiology, Dengue virology, Disease Outbreaks, Genotype, Serogroup, Genetic Variation, Phylogeny, Genome, Viral genetics, Whole Genome Sequencing
Abstract: Dengue, a mosquito-borne viral disease, poses a significant public health challenge in Pakistan, with a significant outbreak in 2023, prompting our investigation into the serotype and genomic diversity of the dengue virus (DENV). NS-1 positive blood samples from 153 patients were referred to the National Institute of Health, Pakistan, between July and October 2023. Among these, 98 (64.1%) tested positive using multiplex real-time PCR, with higher prevalence among males (65.8%) and individuals aged 31-40. Serotyping revealed DENV-1 as the predominant serotype (84.7%), followed by DENV-2 (15.3%). Whole-genome sequencing of 18 samples (DENV-1 = 17, DENV-2 = 01) showed that DENV-1 (genotype III) samples were closely related (>99%) to Pakistan outbreak samples (2022), and approx. > 98% with USA (2022), Singapore and China (2016), Bangladesh (2017), and Pakistan (2019). The DENV-2 sequence (cosmopolitan genotype; clade IVA) shared genetic similarity with Pakistan outbreak sequences (2022), approx. > 99% with China and Singapore (2018-2019) and showed divergence from Pakistan sequences (2008-2013). No coinfection with dengue serotypes or other viruses were observed. Comparisons with previous DENV-1 sequences highlighted genetic variations affecting viral replication efficiency (NS2B:K55R) and infectivity (E:M272T). These findings contribute to dengue epidemiology understanding and underscore the importance of ongoing genomic surveillance for future outbreak responses in Pakistan., (© 2024 Wiley Periodicals LLC.)
Published: 2024
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33. Testicular Mixed Germ Cell Tumor (TMGCT) Management: Addressing Infection and Tumor Marker Dynamics.

Author: Sohail M, Haider SA, Javed H, Manazar A, Fatimah M, and Wazi Z
Abstract: We report the case of a 23-year-old male presenting with right testicular swelling, post-coital pain, and fever. Initial MRI and local examination suggested testicular carcinoma. Elevated serum alpha-fetoprotein (AFP) and lactate dehydrogenase (LDH) levels were observed. Biopsy confirmed a mixed germ cell tumor (MGCT). Concurrently, the patient was diagnosed with an infection and treated with antibiotics. Remarkably, following antibiotic therapy, fever resolved, and tumor marker levels significantly decreased. Subsequent orchidectomy confirmed the diagnosis of MGCT. This case underscores the importance of recognizing and treating concurrent infections, which may influence both clinical presentation and tumor marker levels in testicular germ cell tumors., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Sohail et al.)
Published: 2024
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34. Artificial Intelligence in Postoperative Care: Assessing Large Language Models for Patient Recommendations in Plastic Surgery.

Author: Gomez-Cabello CA, Borna S, Pressman SM, Haider SA, Sehgal A, Leibovich BC, and Forte AJ
Abstract: Since their release, the medical community has been actively exploring large language models' (LLMs) capabilities, which show promise in providing accurate medical knowledge. One potential application is as a patient resource. This study analyzes and compares the ability of the currently available LLMs, ChatGPT-3.5, GPT-4, and Gemini, to provide postoperative care recommendations to plastic surgery patients. We presented each model with 32 questions addressing common patient concerns after surgical cosmetic procedures and evaluated the medical accuracy, readability, understandability, and actionability of the models' responses. The three LLMs provided equally accurate information, with GPT-3.5 averaging the highest on the Likert scale (LS) (4.18 ± 0.93) ( p = 0.849), while Gemini provided significantly more readable ( p = 0.001) and understandable responses ( p = 0.014; p = 0.001). There was no difference in the actionability of the models' responses ( p = 0.830). Although LLMs have shown their potential as adjunctive tools in postoperative patient care, further refinement and research are imperative to enable their evolution into comprehensive standalone resources.
Published: 2024
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35. Clinical and Surgical Applications of Large Language Models: A Systematic Review.

Author: Pressman SM, Borna S, Gomez-Cabello CA, Haider SA, Haider CR, and Forte AJ
Abstract: Background: Large language models (LLMs) represent a recent advancement in artificial intelligence with medical applications across various healthcare domains. The objective of this review is to highlight how LLMs can be utilized by clinicians and surgeons in their everyday practice. Methods: A systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Six databases were searched to identify relevant articles. Eligibility criteria emphasized articles focused primarily on clinical and surgical applications of LLMs. Results: The literature search yielded 333 results, with 34 meeting eligibility criteria. All articles were from 2023. There were 14 original research articles, four letters, one interview, and 15 review articles. These articles covered a wide variety of medical specialties, including various surgical subspecialties. Conclusions : LLMs have the potential to enhance healthcare delivery. In clinical settings, LLMs can assist in diagnosis, treatment guidance, patient triage, physician knowledge augmentation, and administrative tasks. In surgical settings, LLMs can assist surgeons with documentation, surgical planning, and intraoperative guidance. However, addressing their limitations and concerns, particularly those related to accuracy and biases, is crucial. LLMs should be viewed as tools to complement, not replace, the expertise of healthcare professionals.
Published: 2024
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36. Comparative Analysis of Artificial Intelligence Virtual Assistant and Large Language Models in Post-Operative Care.

Author: Borna S, Gomez-Cabello CA, Pressman SM, Haider SA, Sehgal A, Leibovich BC, Cole D, and Forte AJ
Abstract: In postoperative care, patient education and follow-up are pivotal for enhancing the quality of care and satisfaction. Artificial intelligence virtual assistants (AIVA) and large language models (LLMs) like Google BARD and ChatGPT-4 offer avenues for addressing patient queries using natural language processing (NLP) techniques. However, the accuracy and appropriateness of the information vary across these platforms, necessitating a comparative study to evaluate their efficacy in this domain. We conducted a study comparing AIVA (using Google Dialogflow) with ChatGPT-4 and Google BARD, assessing the accuracy, knowledge gap, and response appropriateness. AIVA demonstrated superior performance, with significantly higher accuracy (mean: 0.9) and lower knowledge gap (mean: 0.1) compared to BARD and ChatGPT-4. Additionally, AIVA's responses received higher Likert scores for appropriateness. Our findings suggest that specialized AI tools like AIVA are more effective in delivering precise and contextually relevant information for postoperative care compared to general-purpose LLMs. While ChatGPT-4 shows promise, its performance varies, particularly in verbal interactions. This underscores the importance of tailored AI solutions in healthcare, where accuracy and clarity are paramount. Our study highlights the necessity for further research and the development of customized AI solutions to address specific medical contexts and improve patient outcomes.
Published: 2024
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37. Artificial Intelligence Support for Informal Patient Caregivers: A Systematic Review.

Author: Borna S, Maniaci MJ, Haider CR, Gomez-Cabello CA, Pressman SM, Haider SA, Demaerschalk BM, Cowart JB, and Forte AJ
Abstract: This study aims to explore how artificial intelligence can help ease the burden on caregivers, filling a gap in current research and healthcare practices due to the growing challenge of an aging population and increased reliance on informal caregivers. We conducted a search with Google Scholar, PubMed, Scopus, IEEE Xplore, and Web of Science, focusing on AI and caregiving. Our inclusion criteria were studies where AI supports informal caregivers, excluding those solely for data collection. Adhering to PRISMA 2020 guidelines, we eliminated duplicates and screened for relevance. From 947 initially identified articles, 10 met our criteria, focusing on AI's role in aiding informal caregivers. These studies, conducted between 2012 and 2023, were globally distributed, with 80% employing machine learning. Validation methods varied, with Hold-Out being the most frequent. Metrics across studies revealed accuracies ranging from 71.60% to 99.33%. Specific methods, like SCUT in conjunction with NNs and LibSVM, showcased accuracy between 93.42% and 95.36% as well as F-measures spanning 93.30% to 95.41%. AUC values indicated model performance variability, ranging from 0.50 to 0.85 in select models. Our review highlights AI's role in aiding informal caregivers, showing promising results despite different approaches. AI tools provide smart, adaptive support, improving caregivers' effectiveness and well-being.
Published: 2024
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38. AI in Hand Surgery: Assessing Large Language Models in the Classification and Management of Hand Injuries.

Author: Pressman SM, Borna S, Gomez-Cabello CA, Haider SA, and Forte AJ
Abstract: Background : OpenAI's ChatGPT (San Francisco, CA, USA) and Google's Gemini (Mountain View, CA, USA) are two large language models that show promise in improving and expediting medical decision making in hand surgery. Evaluating the applications of these models within the field of hand surgery is warranted. This study aims to evaluate ChatGPT-4 and Gemini in classifying hand injuries and recommending treatment. Methods : Gemini and ChatGPT were given 68 fictionalized clinical vignettes of hand injuries twice. The models were asked to use a specific classification system and recommend surgical or nonsurgical treatment. Classifications were scored based on correctness. Results were analyzed using descriptive statistics, a paired two-tailed t -test, and sensitivity testing. Results : Gemini, correctly classifying 70.6% hand injuries, demonstrated superior classification ability over ChatGPT (mean score 1.46 vs. 0.87, p -value < 0.001). For management, ChatGPT demonstrated higher sensitivity in recommending surgical intervention compared to Gemini (98.0% vs. 88.8%), but lower specificity (68.4% vs. 94.7%). When compared to ChatGPT, Gemini demonstrated greater response replicability. Conclusions : Large language models like ChatGPT and Gemini show promise in assisting medical decision making, particularly in hand surgery, with Gemini generally outperforming ChatGPT. These findings emphasize the importance of considering the strengths and limitations of different models when integrating them into clinical practice.
Published: 2024
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39. Genomic characterization of human respiratory syncytial virus circulating in Islamabad, Pakistan, during an outbreak in 2022-2023.

Author: Haider SA, Jamal Z, Tahir F, Salman M, and Umair M
Subjects: Pakistan epidemiology, Humans, Mutation, Whole Genome Sequencing, Genomics, Female, Infant, Male, Viral Fusion Proteins genetics, Child, Preschool, Respiratory Syncytial Virus Infections epidemiology, Respiratory Syncytial Virus Infections virology, Respiratory Syncytial Virus, Human genetics, Respiratory Syncytial Virus, Human classification, Respiratory Syncytial Virus, Human isolation & purification, Disease Outbreaks, Phylogeny, Genome, Viral genetics, Genotype
Abstract: In this study, conducted at the National Institute of Health, Islamabad, during an outbreak of human respiratory syncytial virus (hRSV) from December 2022 to January 2023, the first whole-genome sequences of hRSV isolates from Islamabad, Pakistan, were determined. Out of 10 positive samples, five were sequenced, revealing the presence of two genotypes: RSV-A (GA2.3.5, ON1 strain) and RSV-B (GB5.0.5.a, BA-10 strain). A rare non-synonymous substitution (E232G) in G the protein and N276S in the F protein were found in RSV-A. In RSV-B, the unique mutations K191R, Q209R, and I206M were found in the F protein. These mutations could potentially influence vaccine efficacy and viral pathogenicity. This research underscores the importance of genomic surveillance for understanding RSV diversity and guiding public health responses in Pakistan., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.)
Published: 2024
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40. AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research.

Author: Pressman SM, Borna S, Gomez-Cabello CA, Haider SA, Haider C, and Forte AJ
Abstract: Introduction: As large language models receive greater attention in medical research, the investigation of ethical considerations is warranted. This review aims to explore surgery literature to identify ethical concerns surrounding these artificial intelligence models and evaluate how autonomy, beneficence, nonmaleficence, and justice are represented within these ethical discussions to provide insights in order to guide further research and practice., Methods: A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Five electronic databases were searched in October 2023. Eligible studies included surgery-related articles that focused on large language models and contained adequate ethical discussion. Study details, including specialty and ethical concerns, were collected., Results: The literature search yielded 1179 articles, with 53 meeting the inclusion criteria. Plastic surgery, orthopedic surgery, and neurosurgery were the most represented surgical specialties. Autonomy was the most explicitly cited ethical principle. The most frequently discussed ethical concern was accuracy (n = 45, 84.9%), followed by bias, patient confidentiality, and responsibility., Conclusion: The ethical implications of using large language models in surgery are complex and evolving. The integration of these models into surgery necessitates continuous ethical discourse to ensure responsible and ethical use, balancing technological advancement with human dignity and safety.
Published: 2024
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41. Artificial-Intelligence-Based Clinical Decision Support Systems in Primary Care: A Scoping Review of Current Clinical Implementations.

Author: Gomez-Cabello CA, Borna S, Pressman S, Haider SA, Haider CR, and Forte AJ
Abstract: Primary Care Physicians (PCPs) are the first point of contact in healthcare. Because PCPs face the challenge of managing diverse patient populations while maintaining up-to-date medical knowledge and updated health records, this study explores the current outcomes and effectiveness of implementing Artificial Intelligence-based Clinical Decision Support Systems (AI-CDSSs) in Primary Healthcare (PHC). Following the PRISMA-ScR guidelines, we systematically searched five databases, PubMed, Scopus, CINAHL, IEEE, and Google Scholar, and manually searched related articles. Only CDSSs powered by AI targeted to physicians and tested in real clinical PHC settings were included. From a total of 421 articles, 6 met our criteria. We found AI-CDSSs from the US, Netherlands, Spain, and China whose primary tasks included diagnosis support, management and treatment recommendations, and complication prediction. Secondary objectives included lessening physician work burden and reducing healthcare costs. While promising, the outcomes were hindered by physicians' perceptions and cultural settings. This study underscores the potential of AI-CDSSs in improving clinical management, patient satisfaction, and safety while reducing physician workload. However, further work is needed to explore the broad spectrum of applications that the new AI-CDSSs have in several PHC real clinical settings and measure their clinical outcomes.
Published: 2024
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42. Percutaneous Needle Decompression: A Novel Approach Toward Treating Compartment Syndrome of the Leg.

Author: Haider SA, Iram S, and Iqbal P
Abstract: Percutaneous needle decompression (PND) can be a successful alternative to open fasciotomies for acute compartment syndrome (ACS). We present the case of a 45-year-old male patient who survived a road traffic accident and developed ACS following his open fracture of the tibia and fibula. He was treated by performing PND on all compartments of the affected leg using a 24 gauge needle thus avoiding the complications of a double incision fasciotomy., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2024, Haider et al.)
Published: 2024
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43. A winning formula: sustainable control of three stored-product insects through paired combinations of entomopathogenic fungus, diatomaceous earth, and lambda-cyhalothrin.

Author: Wakil W, Kavallieratos NG, Eleftheriadou N, Haider SA, Qayyum MA, Tahir M, Rasool KG, Husain M, and Aldawood AS
Subjects: Animals, Sheep, Diatomaceous Earth, Insecta, Edible Grain, Insecticides, Coleoptera, Nitriles, Pyrethrins
Abstract: This research aimed to assess the effectiveness of Metarhizium robertsii, diatomaceous earth (Protect-It), and lambda-cyhalothrin, for the long-term protection of stored wheat against three destructive grain insect pests, Rhyzopertha dominica, Tribolium castaneum, and Trogoderma granarium. Different treatments were applied, both alone and in paired combinations in laboratory and persistence trials. Single treatments exhibited significantly lower mortality rates in comparison to the paired treatments for all tested insect species. Among the single treatments, lambda-cyhalothrin (Lamb) resulted in significantly higher mortality rates in laboratory trials, followed by diatomaceous earth (DE) and M. robertsii (Mr), with insignificant differences between Mr and DE. Evidently, DE exhibited the highest persistence after 120 days of storage for all insect species and initial exposures, although variations in mortality rates among treatments were mostly insignificant. Overall, the most effective treatment in terms of mortality in laboratory, and persistence trials, and progeny production was DE + Lamb, followed by Mr + Lamb, and Mr + DE for all tested insect species. In general, the most susceptible insect species was R. dominica, followed by T. castaneum and T. granarium. This research highlights the effectiveness of M. robertsii, DE, and lambda-cyhalothrin in providing prolonged protection of stored wheat against all the examined grain insect species., (© 2024. The Author(s).)
Published: 2024
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44. Reconstruction of Oncologic Axillary Defects.

Author: Haider SA and Shahzad F
Abstract: Competing Interests: Disclosures: The authors disclose no financial or other conflicts of interest.
Published: 2024

45. Paper Tape May Improve Scar Aesthetics and Prevent Wound Closure Complications.

Author: Stratis C, Haider SA, Oleru O, Seyidova N, Sbitany H, and Henderson PW
Subjects: Humans, Bandages, Adhesives, Esthetics, Cicatrix prevention & control, Wound Healing
Abstract: There is uncertainty whether postoperative application of paper tape (PT) improves scar aesthetics and reduces wound closure complications. This study aimed to review and assess the quality of applicable findings from studies investigating PT's efficacy. We queried PubMed and SCOPUS using the search terms "(("paper tape") AND (wound OR closure OR heal* OR complication OR skin OR prevent* OR scar*))." We excluded articles that were duplicates, basic science, or not clinically relevant. We assessed the level of evidence for each article using the American Society of Plastic Surgeons (ASPS) Rating Levels of Evidence and Grading Recommendations for Therapeutic Studies, ranging from I (highest) to V (lowest). Of 186 publications reviewed, we included eight studies in the literature review. Five of these studies reported statistically significant positive outcomes on scar aesthetics and wound closure associated with using PT. Using the ASPS rating system, we found that two studies were Level I, three studies were Level II, two studies were Level IV, and one study was Level V. Notably, heterogeneity in the study designs limited outcome comparison. The data from the studies included in this literature review support using PT to optimize scar and wound management. The lack of higher levels of evidence, however, suggests the need for additional randomized controlled trials to rigorously evaluate patient outcomes when using PT compared with other forms of adhesive dressings., Competing Interests: The authors have no financial interests or conflicts of interest to disclose., (Copyright © 2024 International Society of Plastic and Aesthetic Nurses. All rights reserved.)
Published: 2024
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46. An Improved Multimodal Biometric Identification System Employing Score-Level Fuzzification of Finger Texture and Finger Vein Biometrics.

Author: Haider SA, Ashraf S, Larik RM, Husain N, Muqeet HA, Humayun U, Yahya A, Arfeen ZA, and Khan MF
Subjects: Humans, Biometry methods, Hand diagnostic imaging, Neural Networks, Computer, Fingers diagnostic imaging, Fingers blood supply, Biometric Identification methods
Abstract: This research work focuses on a Near-Infra-Red (NIR) finger-images-based multimodal biometric system based on Finger Texture and Finger Vein biometrics. The individual results of the biometric characteristics are fused using a fuzzy system, and the final identification result is achieved. Experiments are performed for three different databases, i.e., the Near-Infra-Red Hand Images (NIRHI), Hong Kong Polytechnic University (HKPU) and University of Twente Finger Vein Pattern (UTFVP) databases. First, the Finger Texture biometric employs an efficient texture feature extracting algorithm, i.e., Linear Binary Pattern. Then, the classification is performed using Support Vector Machine, a proven machine learning classification algorithm. Second, the transfer learning of pre-trained convolutional neural networks (CNNs) is performed for the Finger Vein biometric, employing two approaches. The three selected CNNs are AlexNet, VGG16 and VGG19. In Approach 1, before feeding the images for the training of the CNN, the necessary preprocessing of NIR images is performed. In Approach 2, before the pre-processing step, image intensity optimization is also employed to regularize the image intensity. NIRHI outperforms HKPU and UTFVP for both of the modalities of focus, in a unimodal setup as well as in a multimodal one. The proposed multimodal biometric system demonstrates a better overall identification accuracy of 99.62% in comparison with 99.51% and 99.50% reported in the recent state-of-the-art systems.
Published: 2023
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47. POEMS (Polyneuropathy, Organomegaly, Endocrinopathy, Monoclonal Plasma Cell Disorder, and Skin Changes) Syndrome as a Sequela of Castleman Disease: A Case Report.

Author: Haider SA, Iram S, Rashid AA, Manazar A, and Javed H
Abstract: Polyneuropathy, organomegaly, endocrinopathy, monoclonal plasma cell disorder, and skin changes (POEMS) syndrome is a rare multisystemic paraneoplastic disorder caused by an underlying plasma cell dyscrasia. Its diagnosis is based on the presence of two mandatory criteria and at least one major and one minor criterion. We report a case of a 52-year-old female patient who presented with complaints of acrocyanosis, night sweats, scaly skin, and swelling on the left side of the neck. She was a known case of hypothyroidism, antiphospholipid syndrome, and cerebral venous thrombosis, and had other comorbidities as well. She also exhibited weakness and paresthesia of the limbs and muscle wasting in the hands. All necessary examinations and investigations were performed and the patient was eventually diagnosed with POEMS syndrome. She underwent chemotherapy along with immunotherapy initially, but as the disease relapsed, she was referred for high-dose therapy (HDT) and autologous stem cell transplantation., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Haider et al.)
Published: 2023
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48. Direct cost variance analysis of peroral endoscopic myotomy vs heller myotomy for management of achalasia: A tertiary referral center experience.

Author: Haider SA, Bills GS, Gyawali CP, Laoveeravat P, Miller J, Softic S, Wagh MS, and Gabr M
Abstract: Background: Laparoscopic Heller myotomy (LHM) has been the traditional surgical treatment for achalasia. Recently, peroral endoscopic myotomy (POEM) has demonstrated similar clinical outcomes with shorter procedure times. Studies comparing the direct cost-effectiveness of POEM vs LHM are limited., Aim: To compare costs of POEM vs LHM., Methods: This retrospective chart review aimed to compare the outcomes and cost of clinical care between patients who underwent POEM and LHM procedures for achalasia. The study was conducted at a tertiary academic center from January 2019 to December 2020. Clinical outcomes, including post-operative Eckardt scores and adverse events, were assessed and compared between the two groups. Direct cost variance analysis was utilized to evaluate the cost of clinical care incurred by patients undergoing POEM in the year preceding the procedure, during the index admission, and one year post-procedure, in comparison to patients undergoing LHM., Results: Of 30 patients were included (15 POEM and 15 LHM) in the study. Patients in the POEM group had a mean Eckardt score of 0.5 ± 0.5 post-procedure, which was no different from patients in the LHM group (0.7 ± 0.6, P = 0.17) indicating comparative efficacy. However, the total costs of the admission for the procedure in the LHM group were on average $1827 more expensive than in the POEM group ( P < 0.01). Total healthcare costs one year prior to index procedure were $7777 higher in the LHM group, but not statistically different ( P = 0.34). The patients in the LHM group one year after the index procedure had accrued $19730.24 larger total cost, although this was not statistically different from POEM group ( P = 0.68)., Conclusion: Despite similar clinical outcomes, the cost of the index procedure admission for POEM was significantly lower than for LHM. The difference was primarily related to shorter time increments utilized in the operating room during the index procedure, and shorter length of hospital stay following POEM., Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article., (©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.)
Published: 2023
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49. Unpacking the asymmetric impact of exchange rate volatility on trade flows: A study of selected developed and developing Asian economies.

Author: Kayani UN, Aysan AF, Gul A, Haider SA, and Ahmad S
Subjects: Policy, Pakistan, Malaysia, Carbon Dioxide analysis, Economic Development
Abstract: Maintaining a stable exchange rate is a challenging task for the world, especially for developing economies. This study examines the impact of asymmetric exchange rates on trade flows in selected Asian countries and finds that the effects of increased exchange rate volatility on exports and imports differ among Pakistan, Malaysia, Japan, and Korea. The quarterly data from the period 1980 to 2018 is collected from the International Financial Statistics (IFS) database maintained by the International Monetary Fund (IMF). We employ both linear and non-linear Autoregressive Distributed Lag (ARDL) models for estimation. The non-linear models yielded more significant findings, while the linear models did not indicate any significant effects of exchange rate volatility on trade flows. The results of the study suggest that in the case of Pakistan, both the linear and non-linear models indicate that increased exchange rate volatility adversely affects exports and imports, while decreased volatility enhances both. This implies that stabilizing the exchange rate would be beneficial for Pakistan's trade. In contrast, the linear model applied to Malaysia shows no long-run effects of exchange rate volatility on exports. However, the result suggests that decreased volatility stimulates Malaysia's exports. Therefore, in the case of Malaysia, stabilizing the exchange rate could contribute to boosting exports. We also found that increased exchange rate volatility boosts exports of Japan. On the other hand, decreased volatility hurts exports of Japan. As for the long-run effects of exchange rate volatility on imports, we found that increased volatility boosts imports of Korea. The study provides various policy implications regarding the impact of exchange rate volatility on trade flows in developing economies. The study highlights the importance of country-specific considerations in understanding the impact of exchange rate volatility on trade flows, and has important policy implications for promoting trade and economic growth in these nations. It emphasizes the need to model exchange rate volatility separately for developed and developing countries and to continue research and analysis to identify ways to mitigate its negative effects on the economy., Competing Interests: he authors have declared that no competing interests exist., (Copyright: © 2023 Kayani et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Published: 2023
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50. Genomic characterization of the first mpox and varicella-zoster co-infection in Pakistan (2023) through next-generation sequencing.

Author: Umair M, Jamal Z, Haider SA, Hakim R, Ammar M, Ali Q, Akhtar N, Ikram A, and Salman M
Subjects: Humans, Genomics, High-Throughput Nucleotide Sequencing, Pakistan, United States, Chickenpox diagnosis, Coinfection diagnosis, Herpes Zoster diagnosis, Mpox (monkeypox), Varicella Zoster Virus Infection
Abstract: The global mpox outbreak spanning 2022-2023 has affected numerous countries worldwide. In this study, we present the first report on the detection, whole-genome sequence, and coinfection of the mpox virus and varicella zoster virus (VZV) from Pakistan. During April-May 2023, samples from 20 suspected cases of mpox were tested at the National Institutes of Health, Islamabad among which 4 tested positive. All four cases had a travel history of Saudi Arabia. All the suspected samples were processed by using a Zymo research kit for DNA extraction, followed by qRT-PCR amplification by using a DaAn Gene detection kit for the mpox virus. Further, two of the positive samples with a low C t value (<20) were subjected to whole-genome sequencing using a metagenomic approach on the iSeq (Illumina) platform. The sequencing results revealed Clade IIb and genotype A.2.1 of MPXV, which clustered with viruses from Slovenia and the UK in July and June 2022, respectively. Our analysis identified two novel nonsynonymous substitutions in mpox virus, namely V98I in OPG046 and P600S in OPG109. Furthermore, we successfully retrieved the complete genome of VZV from the same sample, belonging to Clade 5. This study represents the first positive case of MPXV in Pakistan and the coinfection of mpox and VZV by using a metagenome approach providing insights into their complete genomes. Our results highlight the importance of surveillance at the point of entries, strengthening lab capacities including next-generation sequencing, and using differential diagnosis for timely and accurate detection of mpox cases., (© 2023 Wiley Periodicals LLC.)
Published: 2023
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