Search

Your search keyword '"Sherif, Nabil"' showing total 14 results
Start Over Author "Sherif, Nabil" Language undetermined
14 results on '"Sherif, Nabil"'

1. Autologous Retinal Transplantation for Primary and Refractory Macular Holes and Macular Hole Retinal Detachments

Author

Ogugua Ndubuisi Okonkwo, Ninel Z. Gregori, Mitsunori Yamada, Nicole Koulisis, Shunji Kusaka, Jay Chhablani, Keiko Yamada, Takatoshi Maeno, Alberto La Mantia, Odette M. Houghton, Stavros N. Moysidis, Mohamed M Mahgoub, Virgilio Morales-Canton, Marcin Stopa, Steve Charles, Hisham Hassaan, Sergio Rojas, Hany S. Hamza, Tarek S Hassan, An Lun Wu, Xhevat Lumi, Ahmed M. Habib, Carmelina Gordon, Sean D. Adrean, Sherif Nabil Embabi, Izabela Rogalinska, Barbara Parolini, Mohamed Nowara, Flavio A. Rezende, Naren Chetty, Tamer H. Mahmoud, Chi Chun Lai, Samir Mohamed El Baha, David H. W. Steel, Kazuaki Kadonosono, and Javier Cisneros Cortes

Subjects
Pars plana, medicine.medical_specialty, Visual acuity, genetic structures, business.industry, medicine.medical_treatment, Retinal detachment, Vitrectomy, Retinal, medicine.disease, eye diseases, Transplantation, Ophthalmology, chemistry.chemical_compound, medicine.anatomical_structure, chemistry, medicine, medicine.symptom, business, External limiting membrane, Macular hole
Abstract

Purpose To report the anatomic and functional outcomes of autologous retinal transplantation (ART). Design Multicenter, retrospective, interventional, consecutive case series. Participants One hundred thirty eyes of 130 patients undergoing ART for the repair of primary and refractory macular holes (MHs), as well as combined MH-rhegmatogenous retinal detachment (MH-RRD), between January 2017 and December 2019. Methods All patients underwent pars plana vitrectomy and ART, with surgeon modification of intraoperative variables. A large array of preoperative, intraoperative, and postoperative data was collected. Two masked reviewers graded OCT images. Multivariate statistical analysis and subgroup analysis were performed. Main Outcome Measures Macular hole closure rate, visual acuity (VA), external limiting membrane and ellipsoid zone (EZ) band integrity, and alignment of neurosensory layers (ANL) on OCT. Results One hundred thirty ART surgeries were performed by 33 vitreoretinal surgeons worldwide. Patient demographics were: mean age of 63 ± 6.3 years, 58% female, 41% White, 23% Black, 19% Asian, and 17% Latino. Preoperative VA was 1.37 ± 0.12 logarithm of the minimum angle of resolution (logMAR; Snellen equivalent, approximately 20/500), which improved significantly to 1.05 ± 0.09 logMAR (Snellen equivalent, approximately 20/225; P Conclusions In this global experience, patients undergoing ART for large primary and refractory MHs and MH-RRDs achieved good anatomic and functional outcomes, with low complication rates despite complex surgical pathologic features.

Published
2021
Full Text
View/download PDF

2. International Impact of COVID-19 on the Diagnosis of Heart Disease

Author

Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., Vitola, J. V., Cerci, R., Dorbala, S., Raggi, P., Choi, A. D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Norgaard, B. L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A. H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T. N. B., Pynda, Y., Dondi, M., Gerd Hinterleitner, Paez D., Yao, Lu, Olga, Morozova, Zhuoran, Xu, Juan, Lopez-Mattei, Purvi, Parwani, Mohammad Nawaz Nasery, Artan, Goda, Ervina, Shirka, Rabie, Benlabgaa, Salah, Bouyoucef, Abdelkader, Medjahedi, Qais, Nailli, Mariela, Agolti, Roberto Nicolas Aguero, Maria Del Carmen Alak, Lucia Graciela Alberguina, Guillermo, Arroñada, Andrea, Astesiano, Alfredo, Astesiano, Carolina Bas Norton, Pablo, Benteo, Juan, Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul, Cabrejas, Jorge, Cachero, Alejandro, Canderoli, Silvia, Carames, Patrícia, Carrascosa, Ricardo, Castro, Oscar, Cendoya, Luciano Martin Cognigni, Carlos, Collaud, Claudia, Cortes, Javier, Courtis, Daniel, Cragnolino, Mariana, Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando, Dettori, Alejandro, Deviggiano, Laura, Dragonetti, Mario, Embon, Ruben Emilio Enriquez, Jorge, Ensinas, Fernando, Faccio, Adolfo, Facello, Diego, Garofalo, Ricardo, Geronazzo, Natalia, Gonza, Lucas, Gutierrez, Miguel Angel Guzzo, Victor, Hasbani, Melina, Huerin, Victor, Jäger, Julio Manuel Lewkowicz, Maria Nieves, A López De Munaín, Jose Maria Lotti, Alejandra, Marquez, Osvaldo, Masoli, Edgardo, Mastrovito, Matias, Mayoraz, Graciela Eva Melado, Anibal, Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana, Molteni, Marcos, Montecinos, Eduardo, Noguera, Carlos, Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo, Pollono, Maria Paula Pujol, Alejandro, Radzinschi, Gustavo, Raimondi, Marcela, Redruello, Marina, Rodríguez, Matías, Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico, Rovaletti, Lucas San Miguel, Lucrecia, Solari, Bruno, Strada, Sonia, Traverso, Sonia Simona Traverzo, Maria Del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan, Wolcan, Susana, Zeffiro, Mari, Sakanyan, Scott, Beuzeville, Raef, Boktor, Patrick, Butler, Jennifer, Calcott, Loretta, Carr, Virgil, Chan, Charles, Chao, Woon, Chong, Mark, Dobson, D'Arne, Downie, Girish, Dwivedi, Barry, Elison, Jean, Engela, Roslyn, Francis, Anand, Gaikwad, Ashok Gangasandra Basavaraj, Bruce, Goodwin, Robert, Greenough, Christian, Hamilton-Craig, Victar, Hsieh, Subodh, Joshi, Karin, Lederer, Kenneth, Lee, Joseph, Lee, John, Magnussen, Nghi, Mai, Gordon, Mander, Fiona, Murton, Dee, Nandurkar, Johanne, Neill, Edward, O'Rourke, Patricia, O'Sullivan, George, Pandos, Kunthi, Pathmaraj, Alexander, Pitman, Rohan, Poulter, Manuja, Premaratne, David, Prior, Lloyd, Ridley, Natalie, Rutherford, Hamid, Salehi, Connor, Saunders, Luke, Scarlett, Sujith, Seneviratne, Deepa, Shetty, Ganesh, Shrestha, Jonathan, Shulman, Vijay, Solanki, Tony, Stanton, Murch, Stuart, Michael, Stubbs, Ian, Swainson, Kim, Taubman, Andrew, Taylor, Paul, Thomas, Steven, Unger, Anthony, Upton, Shankar, Vamadevan, William Van Gaal, Johan, Verjans, Demetrius, Voutnis, Victor, Wayne, Peter, Wilson, David, Wong, Kirby, Wong, John, Younger, Gudrun, Feuchtner, Siroos, Mirzaei, Konrad, Weiss, Natallia, Maroz-Vadalazhskaya, Olivier, Gheysens, Filip, Homans, Rodrigo, Moreno-Reyes, Agnès, Pasquet, Veronique, Roelants, Caroline, M Van De Heyning, Raúl Araujo Ríos, Valentina, Soldat-Stankovic, Sinisa, Stankovic, Maria Helena Albernaz Siqueira, Augusto, Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana, Andrade, Carlos, Anselmi, Roberta, Araújo, Guilherme, Azevedo, Sabbrina, Bezerra, Rodrigo, Biancardi, Gabriel Blacher Grossman, Simone, Brandão, Diego Bromfman Pianta, Lara, Carreira, Bruno, Castro, Tien, Chang, Fernando Cunali Jr, Roberto, Cury, Roberto, Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda, Erthal, Fabio, Fernandes, Juliano, Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno, Ghini, Luiz, Goncalves, Ilan, Gottlieb, Marcelo, Hadlich, Vinícius, Kameoka, Ronaldo, Lima, Adna, Lima, Rafael Willain Lopes, Ricardo Machado, E Silva, Tiago, Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio, Medeiros, José Claudio Meneghetti, Vania, Naue, Danilo, Naves, Roberto, Nolasco, Cesar, Nomura, Joao Bruno Oliveira, Eduardo, Paixao, Filipe Penna De Carvalho, Ibraim, Pinto, Priscila, Possetti, Mayra, Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo, Rocha, Alfredo, Rodrigues, Carlos, Rodrigues, Leila, Romantini, Adelina, Sanches, Sara, Santana, Leonardo Sara da Silva, Paulo, Schvartzman, Cristina Sebastião Matushita, Tiago, Senra, Afonso, Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano, Siqueira, Paola, Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo, Spiro, Cláudio Tinoco Mesquita, Jorge, Torreao, Rafael, Torres, Marly, Uellendahl, Guilherme Urpia Monte, Otávia, Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto, Waltrick, Marcello, Zapparoli, Hamid, Naseer, Marina, Garcheva-Tsacheva, Irena, Kostadinova, Youdaline, Theng, Gad, Abikhzer, Rene, Barette, Benjamin, Chow, Dominique, Dabreo, Matthias, Friedrich, Ria, Garg, Mohammed Nassoh Hafez, Chris, Johnson, Marla, Kiess, Jonathon, Leipsic, Eugene, Leung, Robert, Miller, Anastasia, Oikonomou, Stephan, Probst, Idan, Roifman, Gary, Small, Vikas, Tandon, Adwait, Trivedi, James, White, Katherine, Zukotynski, Jose, Canessa, Gabriel Castro Muñoz, Carmen, Concha, Pablo, Hidalgo, Cesar, Lovera, Teresa, Massardo, Luis Salazar Vargas, Pedro, Abad, Harold, Arturo, Sandra, Ayala, Luis, Benitez, Alberto, Cadena, Carlos, Caicedo, Antonio Calderón Moncayo, Sharon, Gomez, Claudia, T Gutierrez Villamil, Claudia, Jaimes, Juan Luis Londoño Blair, Luz, Pabon, Mauricio, Pineda, Juan Carlos Rojas, Diego, Ruiz, Manuel Valencia Escobar, Andres, Vasquez, Damiana, Vergel, Alejandro, Zuluaga, Isabel Berrocal Gamboa, Gabriel, Castro, Ulises, González, Ana, Baric, Tonci, Batinic, Maja, Franceschi, Maja Hrabak Paar, Mladen, Jukic, Petar, Medakovic, Viktor, Persic, Marina, Prpic, Ante, Punda, Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner, Menéndez, Amalia, Peix, Luis, Rochela, Christoforos, Panagidis, Ioannis, Petrou, Vaclav, Engelmann, Milan, Kaminek, Vladimír, Kincl, Otto, Lang, Milan, Simanek, Jawdat, Abdulla, Morten, Bøttcher, Mette, Christensen, Lars Christian Gormsen, Philip, Hasbak, Søren, Hess, Paw, Holdgaard, Allan, Johansen, Kasper, Kyhl, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf, Steffensen, Anders, Thomassen, Zerahn, Bo, Alfredo, Perez, Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez, Islam Shawky Abdel Aziz, Mahasen, Abougabal, Taghreed, Ahmed, Ahmed, Asfour, Mona, Hassan, Alia, Hassan, Ahmed, Ibrahim, Sameh, Kaffas, Ahmed, Kandeel, Mohamed Mandour Ali, Ahmad, Mansy, Hany, Maurice, Sherif, Nabil, Mahmoud, Shaaban, Ana Camila Flores, Anne, Poksi, Juhani, Knuuti, Velipekka, Kokkonen, Martti, Larikka, Valtteri, Uusitalo, Matthieu, Bailly, Samuel, Burg, Jean-François, Deux, Vincent, Habouzit, Fabien, Hyafil, Olivier, Lairez, Franck, Proffit, Hamza, Regaieg, Laure, Sarda-Mantel, Vania, Tacher, Roman, P Schneider, Harold, Ayetey, George, Angelidis, Aikaterini, Archontaki, Sofia, Chatziioannou, Ioannis, Datseris, Christina, Fragkaki, Panagiotis, Georgoulias, Sophia, Koukouraki, Maria, Koutelou, Eleni, Kyrozi, Evangelos, Repasos, Petros, Stavrou, Pipitsa, Valsamaki, Carla, Gonzalez, Goleat, Gutierrez, Alejandro, Maldonado, Klara, Buga, Ildiko, Garai, Erzsébet, Schmidt, Balint, Szilveszter, Edit, Várady, Nilesh, Banthia, Jinendra Kumar Bhagat, Rishi, Bhargava, Vivek, Bhat, Partha, Choudhury, Vijay Sai Chowdekar, Aparna, Irodi, Shashank, Jain, Elizabeth, Joseph, Sukriti, Kumar, Girijanandan, Mahapatra, Deepanjan, Mitra, Bhagwant Rai Mittal, Ahmad, Ozair, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Patel, Sudhir, Saxena, Shantanu, Sengupta, Santosh, Singh, Bhanupriya, Singh, Ashwani, Sood, Atul, Verma, Erwin, Affandi, Padma Savenadia Alam, Edison, Edison, Gani, Gunawan, Habusari, Hapkido, Basuki, Hidayat, Aulia, Huda, Anggoro Praja Mukti, Djoko, Prawiro, Erwin Affandi Soeriadi, Hilman, Syawaluddin, Amjed, Albadr, Majid, Assadi, Farshad, Emami, Golnaz, Houshmand, Majid, Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi, Eed Abu Zaid, Svetlana, Agranovich, Yoav, Arnson, Rachel, Bar-Shalom, Alex, Frenkel, Galit, Knafo, Rachel, Lugassi, Israel Shlomo Maor Moalem, Maya, Mor, Noam, Muskal, Sara, Ranser, Aryeh, Shalev, Domenico, Albano, Pierpaolo, Alongi, Gaspare, Arnone, Elisa, Bagatin, Sergio, Baldari, Matteo, Bauckneht, Paolo, Bertelli, Francesco, Bianco, Rachele, Bonfiglioli, Roberto, Boni, Andrea, Bruno, Isabella, Bruno, Elena, Busnardo, Elena, Califaretti, Luca, Camoni, Aldo, Carnevale, Roberta, Casoni, Armando Ugo Cavallo, Giorgio, Cavenaghi, Franca, Chierichetti, Marcello, Chiocchi, Corrado, Cittanti, Mauro, Colletta, Umberto, Conti, Alberto, Cossu, Alberto, Cuocolo, Marco, Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, DELLA TOMMASINA, Veronica, Rexhep, Durmo, Erba, PAOLA ANNA, Laura, Evangelista, Riccardo, Faletti, Evelina, Faragasso, Mohsen, Farsad, Paola, Ferro, Luigia, Florimonte, Viviana, Frantellizzi, Fabio Massimo Fringuelli, Marco, Gatti, Angela, Gaudiano, Alessia, Gimelli, Raffaele, Giubbini, Francesca, Giuffrida, Salvatore, Ialuna, Riccardo, Laudicella, Lucia, Leccisotti, Lucia, Leva, Liga, Riccardo, Carlo, Liguori, Giampiero, Longo, Margherita, Maffione, Maria Elisabetta Mancini, Claudio, Marcassa, Barbara, Nardi, Sara, Pacella, Giovanna, Pepe, Gianluca, Pontone, Sabina, Pulizzi, Natale, Quartuccio, Lucia, Rampin, Fabrizio, Ricci, Pierluigi, Rossini, Giuseppe, Rubini, Vincenzo, Russo, Gian Mauro Sacchetti, Gianmario, Sambuceti, Massimo, Scarano, Roberto, Sciagrà, Massimiliano, Sperandio, Antonella, Stefanelli, Guido, Ventroni, Stefania, Zoboli, Dainia, Baugh, Duane, Chambers, Ernest, Madu, Felix, Nunura, Hiroshi, Asano, Chimura Misato Chimura, Shinichiro, Fujimoto, Koichiro, Fujisue, Tomohisa, Fukunaga, Yoshimitsu, Fukushima, Kae, Fukuyama, Jun, Hashimoto, Yasutaka, Ichikawa, Nobuo, Iguchi, Masamichi, Imai, Anri, Inaki, Hayato, Ishimura, Satoshi, Isobe, Toshiaki, Kadokami, Takao, Kato, Shinichiro, Kumita, Hirotaka, Maruno, Hiroyuki, Mataki, Masao, Miyagawa, Ryota, Morimoto, Masao, Moroi, Shigeki, Nagamachi, Kenichi, Nakajima, Tomoaki, Nakata, Ryo, Nakazato, Mamoru, Nanasato, Masanao, Naya, Takashi, Norikane, Yasutoshi, Ohta, Satoshi, Okayama, Atsutaka, Okizaki, Yoichi, Otomi, Hideki, Otsuka, Masaki, Saito, Sakata Yasushi Sakata, Masayoshi, Sarai, Daisuke, Sato, Shinya, Shiraishi, Yoshinobu, Suwa, Kentaro, Takanami, Kazuya, Takehana, Junichi, Taki, Nagara, Tamaki, Yasuyo, Taniguchi, Hiroki, Teragawa, Nobuo, Tomizawa, Kenichi, Tsujita, Kyoko, Umeji, Yasushi, Wakabayashi, Shinichiro, Yamada, Shinya, Yamazaki, Tatsuya, Yoneyama, Mohammad, Rawashdeh, Daultai, Batyrkhanov, Tairkhan, Dautov, Khalid, Makhdomi, Kevin, Ombati, Faridah, Alkandari, Masoud, Garashi, Tchoyoson Lim Coie, Sonexay, Rajvong, Artem, Kalinin, Marika, Kalnina, Mohamad, Haidar, Renata, Komiagiene, Giedre, Kviecinskiene, Mindaugas, Mataciunas, Donatas, Vajauskas, Christian, Picard, Noor Khairiah, A Karim, Luise, Reichmuth, Anthony, Samuel, Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee, Erick, Alexanderson-Rosas, Erika, Barragan, Alejandro Becerril González-Montecinos, Manuel, Cabada, Daniel Calderon Rodriguez, Isabel, Carvajal-Juarez, Violeta, Cortés, Filiberto, Cortés, Erasmo De La Peña, Manlio, Gama-Moreno, Luis, González, Nelsy Gonzalez Ramírez, Moisés, Jiménez-Santos, Luis, Matos, Edgar, Monroy, Martha, Morelos, Mario, Ornelas, Jose Alberto Ortga Ramirez, Andrés, Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda, Sandoval, Miguel Santaularia Tomas, Lilia, M Sierra-Galan, Silvia, Siu, Enrique, Vallejo, Mario, Valles, Marc, Faraggi, Erdenechimeg, Sereegotov, Srdja, Ilic, Nozha, Ben-Rais, Nadia Ismaili Alaoui, Sara, Taleb, Khin Pa Pa Myo, Phyo Si Thu, Ram Kumar Ghimire, Bijoy, Rajbanshi, Peter, Barneveld, Andor, Glaudemans, Jesse, Habets, Klaas Pieter Koopmans, Jeroen, Manders, Stefan, Pool, Arthur, Scholte, Asbjørn, Scholtens, Riemer, Slart, Paul, Thimister, Erik-Jan Van Asperen, Niels, Veltman, Derk, Verschure, Nils, Wagenaar, John, Edmond, Chris, Ellis, Kerryanne, Johnson, Ross, Keenan, Shaw Hua Anthony Kueh, Christopher, Occleshaw, Alexander, Sasse, Andrew, To, Niels Van Pelt, Calum, Young, Teresa, Cuadra, Hector Bladimir Roque Vanegas, Idrissa Adamou Soli, Djibrillou Moussa Issoufou, Tolulope, Ayodele, Chibuzo, Madu, Yetunde, Onimode, Elen, Efros-Monsen, Signe Helene Forsdahl, Jenni-Mari Hildre Dimmen, Arve, Jørgensen, Isabel, Krohn, Pål, Løvhaugen, Anders Tjellaug Bråten, Humoud Al Dhuhli, Faiza Al Kindi, Naeema, Al-Bulushi, Zabah, Jawa, Naima, Tag, Muhammad Shehzad Afzal, Shazia, Fatima, Muhammad Numair Younis, Musab, Riaz, Mohammad, Saadullah, Yariela, Herrera, Dora, Lenturut-Katal, Manuel Castillo Vázquez, José, Ortellado, Afroza, Akhter, Dianbo, Cao, Stephen, Cheung, Dai, Xu, Lianggeng, Gong, Dan, Han, Yang, Hou, Caiying, Li, Tao, Li, Dong, Li, Sijin, Li, Jinkang, Liu, Hui, Liu, Ming Yen Ng, Kai, Sun, Gongshun, Tang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wang, Jiang, Wu, Zhifang, Wu, Liming, Xia, Jiangxi, Xiao, Lei, Xu, Youyou, Yang, Yin, Wu, Jianqun, Yu, Yuan, Li, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhang, Zhu, Li, Ana, Alfaro, Paz, Abrihan, Asela, Barroso, Eric, Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry, Obaldo, Davidson, Pastrana, Christian Michael Pawhay, Alvin, Quinon, Jeanelle Margareth Tang, Bettina, Tecson, Kristine Joy Uson, Mila, Uy, Magdalena, Kostkiewicz, Jolanta, Kunikowska, Nuno, Bettencourt, Guilhermina, Cantinho, Antonio, Ferreira, Ghulam, Syed, Samer, Arnous, Said, Atyani, Angela, Byrne, Tadhg, Gleeson, David, Kerins, Conor, Meehan, David, Murphy, Mark, Murphy, John, Murray, Julie, O'Brien, Ji-In, Bang, Henry, Bom, Sang-Geon, Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young, Kim, Jaetae, Lee, Chang Kyeong Namgung, Young, So, Kyoung Sook Won, Venjamin, Majstorov, Marija, Vavlukis, Barbara Gužic Salobir, Monika, Štalc, Theodora, Benedek, Imre, Benedek, Raluca, Mititelu, Claudiu Adrian Stan, Alexey, Ansheles, Olga, Dariy, Olga, Drozdova, Nina, Gagarina, Vsevolod Milyevich Gulyaev, Irina, Itskovich, Anatoly, Karalkin, Alexander, Kokov, Ekaterina, Migunova, Viktor, Pospelov, Daria, Ryzhkova, Guzaliya, Saifullina, Svetlana, Sazonova, Irina, Shurupova, Tatjana, Trifonova, Wladimir Yurievich Ussov, Margarita, Vakhromeeva, Nailya, Valiullina, Konstantin, Zavadovsky, Kirill, Zhuravlev, Mirvat, Alasnag, Subhani, Okarvi, Dragana Sobic Saranovic, Felix, Keng, Jia Hao Jason See, Ramkumar, Sekar, Min Sen Yew, Andrej, Vondrak, Shereen, Bejai, George, Bennie, Ria, Bester, Gerrit, Engelbrecht, Osayande, Evbuomwan, Harlem, Gongxeka, Magritha Jv Vuuren, Mitchell, Kaplan, Purbhoo, Khushica, Hoosen, Lakhi, Nico, Malan, Katarina, Milos, Moshe, Modiselle, Stuart, More, Mathava, Naidoo, Leonie, Scholtz, Mboyo, Vangu, Santiago, Aguadé-Bruix, Isabel, Blanco, Antonio, Cabrera, Alicia, Camarero, Irene, Casáns-Tormo, Hug, Cuellar-Calabria, Albert, Flotats, Maria Eugenia Fuentes Cañamero, María Elia García, Amelia, Jimenez-Heffernan, Rubén, Leta, Javier Lopez Diaz, Luis, Lumbreras, Juan Javier Marquez-Cabeza, Francisco, Martin, Anxo Martinez de Alegria, Francisco, Medina, Maria Pedrera Canal, Virginia, Peiro, Virginia, Pubul-Nuñez, Juan Ignacio Rayo Madrid, Cristina Rodríguez Rey, Ricardo Ruano Perez, Joaquín, Ruiz, Gertrudis Sabatel Hernández, Ana, Sevilla, Nahla, Zeidán, Damayanthi, Nanayakkara, Chandraguptha, Udugama, Magnus, Simonsson, Hatem, Alkadhi, Ronny Ralf Buechel, Peter, Burger, Luca, Ceriani, Bart De Boeck, Christoph, Gräni, Alix Juillet de Saint Lager Lucas, Christel, H Kamani, Nadine, Kawel-Boehm, Robert, Manka, John, O Prior, Axel, Rominger, Jean-Paul, Vallée, Benjapa, Khiewvan, Teerapon, Premprabha, Tanyaluck, Thientunyakit, Ali, Sellem, Kemal Metin Kir, Haluk, Sayman, Mugisha Julius Sebikali, Zerida, Muyinda, Yaroslav, Kmetyuk, Pavlo, Korol, Olena, Mykhalchenko, Volodymyr, Pliatsek, Maryna, Satyr, Batool, Albalooshi, Mohamed Ismail Ahmed Hassan, Jill, Anderson, Punit, Bedi, Thomas, Biggans, Anda, Bularga, Russell, Bull, Rajesh, Burgul, John-Paul, Carpenter, Duncan, Coles, David, Cusack, Aparna, Deshpande, John, Dougan, Timothy, Fairbairn, Alexia, Farrugia, Deepa, Gopalan, Alistair, Gummow, Prasad Guntur Ramkumar, Mark, Hamilton, Mark, Harbinson, Thomas, Hartley, Benjamin, Hudson, Nikhil, Joshi, Michael, Kay, Andrew, Kelion, Azhar, Khokhar, Jamie, Kitt, Ken, Lee, Chen, Low, Sze Mun Mak, Ntouskou, Marousa, Jon, Martin, Elisa, Mcalindon, Leon, Menezes, Gareth, Morgan-Hughes, Alastair, Moss, Anthony, Murray, Edward, Nicol, Dilip, Patel, Charles, Peebles, Francesca, Pugliese, Jonathan Carl Luis Rodrigues, Christopher, Rofe, Nikant, Sabharwal, Rebecca, Schofield, Thomas, Semple, Naveen, Sharma, Peter, Strouhal, Deepak, Subedi, William, Topping, Katharine, Tweed, Jonathan, Weir-Mccall, Suhny, Abbara, Taimur, Abbasi, Brian, Abbott, Shady, Abohashem, Sandra, Abramson, Tarek, Al-Abboud, Mouaz, Al-Mallah, Omar, Almousalli, Karthikeyan, Ananthasubramaniam, Mohan Ashok Kumar, Jeffrey, Askew, Lea, Attanasio, Mallory, Balmer-Swain, Richard, R Bayer, Adam, Bernheim, Sabha, Bhatti, Erik, Bieging, Ron, Blankstein, Stephen, Bloom, Sean, Blue, David, Bluemke, Andressa, Borges, Kelley, Branch, Paco, Bravo, Jessica, Brothers, Matthew, Budoff, Renée, Bullock-Palmer, Angela, Burandt, Floyd, W Burke, Kelvin, Bush, Candace, Candela, Elizabeth, Capasso, Joao, Cavalcante, Donald, Chang, Saurav, Chatterjee, Yiannis, Chatzizisis, Michael, Cheezum, Tiffany, Chen, Jennifer, Chen, Marcus, Chen, Andrew, Choi, James, Clarcq, Ayreen, Cordero, Matthew, Crim, Sorin, Danciu, Bruce, Decter, Nimish, Dhruva, Neil, Doherty, Rami, Doukky, Anjori, Dunbar, William, Duvall, Rachael, Edwards, Kerry, Esquitin, Husam, Farah, Emilio, Fentanes, Maros, Ferencik, Daniel, Fisher, Daniel, Fitzpatrick, Cameron, Foster, Tony, Fuisz, Michael, Gannon, Lori, Gastner, Myron, Gerson, Brian, Ghoshhajra, Alan, Goldberg, Brian, Goldner, Jorge, Gonzalez, Rosco, Gore, Sandra, Gracia-López, Fadi, Hage, Agha, Haider, Sofia, Haider, Yasmin, Hamirani, Karen, Hassen, Mallory, Hatfield, Carolyn, Hawkins, Katie, Hawthorne, Nicholas, Heath, Robert, Hendel, Phillip, Hernandez, Gregory, Hill, Stephen, Horgan, Jeff, Huffman, Lynne, Hurwitz, Ami, Iskandrian, Rajesh, Janardhanan, Christine, Jellis, Scott, Jerome, Dinesh, Kalra, Summanther, Kaviratne, Fernando, Kay, Faith, Kelly, Omar, Khalique, Mona, Kinkhabwala, George Kinzfogl Iii, Jacqueline, Kircher, Rachael, Kirkbride, Michael, Kontos, Anupama, Kottam, Joseph, Krepp, Jay, Layer, Steven, H Lee, Jeffrey, Leppo, John, Lesser, Steve, Leung, Howard, Lewin, Diana, Litmanovich, Yiyan, Liu, Kathleen, Magurany, Jeremy, Markowitz, Amanda, Marn, Stephen, E Matis, Michael, Mckenna, Tony, Mcrae, Fernando, Mendoza, Michael, Merhige, David, Min, Chanan, Moffitt, Karen, Moncher, Warren, Moore, Shamil, Morayati, Michael, Morris, Mahmud, Mossa-Basha, Zorana, Mrsic, Venkatesh, Murthy, Prashant, Nagpal, Kyle, Napier, Katarina, Nelson, Prabhjot, Nijjar, Medhat, Osman, Edward, Passen, Amit, Patel, Pravin, Patil, Ryan, Paul, Lawrence, Phillips, Venkateshwar, Polsani, Rajaram, Poludasu, Brian, Pomerantz, Thomas, Porter, Ryan, Prentice, Amit, Pursnani, Mark, Rabbat, Suresh, Ramamurti, Florence, Rich, Hiram Rivera Luna, Austin, Robinson, Kim, Robles, Cesar, Rodríguez, Mark, Rorie, John, Rumberger, Raymond, Russell, Philip, Sabra, Diego, Sadler, Mary, Schemmer, U Joseph Schoepf, Samir, Shah, Nishant, Shah, Sujata, Shanbhag, Gaurav, Sharma, Steven, Shayani, Jamshid, Shirani, Pushpa, Shivaram, Steven, Sigman, Mitch, Simon, Ahmad, Slim, David, Smith, Alexandra, Smith, Prem, Soman, Aditya, Sood, Monvadi Barbara Srichai-Parsia, James, Streeter, Albert, T Ahmed Tawakol, Dustin, Thomas, Randall, Thompson, Tara, Torbet, Desiree, Trinidad, Shawn, Ullery, Samuel, Unzek, Seth, Uretsky, Srikanth, Vallurupalli, Vikas, Verma, Alfonso, Waller, Ellen, Wang, Parker, Ward, Gaby, Weissman, George, Wesbey, Kelly, White, David, Winchester, David, Wolinsky, Sandra, Yost, Michael, Zgaljardic, Omar, Alonso, Mario, Beretta, Rodolfo, Ferrando, Miguel, Kapitan, Fernando, Mut, Omoa, Djuraev, Gulnora, Rozikhodjaeva, Ha Le Ngoc, Son Hong Mai, Xuan Canh Nguyen, Einstein, A. J., Shaw, L. J., Hirschfeld, C., Williams, M. C., Villines, T. C., Better, N., Vitola, J. V., Cerci, R., Dorbala, S., Raggi, P., Choi, A. D., Lu, B., Sinitsyn, V., Sergienko, V., Kudo, T., Norgaard, B. L., Maurovich-Horvat, P., Campisi, R., Milan, E., Louw, L., Allam, A. H., Bhatia, M., Malkovskiy, E., Goebel, B., Cohen, Y., Randazzo, M., Narula, J., Pascual, T. N. B., Pynda, Y., Dondi, M., Paez, D., Cuocolo, A., Einstein, A, Shaw, L, Hirschfeld, C, Williams, M, Villines, T, Better, N, Vitola, J, Cerci, R, Dorbala, S, Raggi, P, Choi, A, Lu, B, Sinitsyn, V, Sergienko, V, Kudo, T, Norgaard, B, Maurovich-Horvat, P, Campisi, R, Milan, E, Louw, L, Allam, A, Bhatia, M, Malkovskiy, E, Goebel, B, Cohen, Y, Randazzo, M, Narula, J, Pascual, T, Pynda, Y, Dondi, M, Paez, D, Pacella, S, and Erba, P

Subjects
INCAPS COVID Investigators Group, Heart disease, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], Diagnostic Techniques, Cardiovascular, coronavirus, global health, IAEA, Disease, Telehealth, Cardiorespiratory Medicine and Haematology, 030204 cardiovascular system & hematology, Cardiovascular, 0302 clinical medicine, cardiovascular disease, cardiac testing, COVID-19, diagnostic techniques, cardiovascular, health care surveys, heart diseases, humans, international agencies, Pandemic, Global health, 030212 general & internal medicine, COVID-19 Heart Disease, Cause of death, STATEMENT, Heart Disease, International Agencie, Public Health and Health Services, Biomedical Imaging, Cardiology and Cardiovascular Medicine, Human, medicine.medical_specialty, Heart Diseases, 03 medical and health sciences, Clinical Research, medicine, Humans, Personal protective equipment, Heart Disease - Coronary Heart Disease, business.industry, International Agencies, medicine.disease, the, coronaviru, Diagnostic Techniques, Good Health and Well Being, Clinical research, Cardiovascular System & Hematology, Health Care Survey, Health Care Surveys, Emergency medicine, Global Health, business
Abstract

BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has adversely affected diagnosis and treatment of noncommunicable diseases. Its effects on delivery of diagnostic care for cardiovascular disease, which remains the leading cause of death worldwide, have not been quantified. OBJECTIVES The study sought to assess COVID-19`s impact on global cardiovascular diagnostic procedural volumes and safety practices. METHODS The International Atomic Energy Agency conducted a worldwide survey assessing alterations in cardiovascular procedure volumes and safety practices resulting from COVID-19. Noninvasive and invasive cardiac testing volumes were obtained from participating sites for March and April 2020 and compared with those from March 2019. Availability of personal protective equipment and pandemic-related testing practice changes were ascertained. RESULTS Surveys were submitted from 909 inpatient and outpatient centers performing cardiac diagnostic procedures, in 108 countries. Procedure volumes decreased 42% from March 2019 to March 2020, and 64% from March 2019 to April 2020. Transthoradc echocardiography decreased by 59%, transesophageat echocardiography 76%, and stress tests 78%, which varied between stress modalities. Coronary angiography (invasive or computed tomography) decreased 55% (p < 0.001 for each procedure). hi multivariable regression, significantly greater reduction in procedures occurred for centers in countries with lower gross domestic product. Location in a low-income and lower-middle-income country was associated with an additional 22% reduction in cardiac procedures and less availability of personal protective equipment and teteheatth. CONCLUSIONS COVID-19 was associated with a significant and abrupt reduction in cardiovascular diagnostic testing across the globe, especially affecting the world's economically challenged. Further study of cardiovascular outcomes and COVID-19-related changes in care delivery is warranted. (C) 2021 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.

Published
2021
Full Text
View/download PDF

3. INTRAOPERATIVE OPTICAL COHERENCE TOMOGRAPHY (OCT) GUIDANCE OF VITREORETINAL SURGERY

Author

Tamer H. Mahmoud, Sherif Nabil Embabi, Hesham Gabr, SherifZaki Mansour, and Cynthia A. Toth

Subjects
medicine.medical_specialty, genetic structures, medicine.diagnostic_test, business.industry, medicine.medical_treatment, Retinal detachment, Vitrectomy, General Medicine, Vitreomacular traction, Diabetic retinopathy, medicine.disease, eye diseases, Posterior segment of eyeball, 03 medical and health sciences, Dissection, 0302 clinical medicine, Optical coherence tomography, Ophthalmology, Vitreous hemorrhage, 030221 ophthalmology & optometry, Medicine, sense organs, business, 030217 neurology & neurosurgery
Abstract

Background: Multiple studies have described the utility of intraoperative spectral-domain OCT (SD-OCT) with two dimensional (2D) B-scan imaging in the management of numerous vitreoretinal disorders including macular holes, vitreomacular traction disorders, epiretinal membranes and retinal detachment. Some of these studies also described post-processing of the 2D B-scans to obtain 3D images. With the advancement of intraoperative OCT technology, live volumetric (4D, i.e. 3D over time) visualization of different anterior and posterior segment surgeries has been described in recent studies using intraoperative swept-source microscope-integrated OCT (SS-MIOCT). Our study aims to explore the potential utility of SS-MIOCT during vitrectomy for complications of proliferative diabetic retinopathy. Aim of the work: To evaluate the use of live volumetric (4D) intraoperative swept-source microscope-integrated OCT (SS-MIOCT) in vitrectomy for proliferative diabetic retinopathy (PDR) complications.Patient and Methods: In this prospective study, we analyzed a subgroup of cases with PDR complications that required vitrectomy and that were imaged by the research SS-MIOCT system. In near real time, images were displayed in stereo heads-up display facilitating intraoperative surgeon feedback. Postoperative review included scoring image quality, identifying different diabetic retinopathy (DR)-associated pathologies and reviewing the intraoperatively documented surgeon feedback.Results: Twenty eyes were included. Indications for vitrectomy were tractional retinal detachment (TRD, 16 eyes), combined tractional-rhegmatogenous retinal detachment (2 eyes) and vitreous hemorrhage (2 eyes). Useful, good quality 2D (B-scans) and 4D images were obtained in 16/20 eyes (80%). In these eyes, multiple DR pathologies could be imaged. SS-MIOCT provided surgical guidance, e.g. in identifying dissection planes under fibrovascular membranes, and in determining residual membranes and traction that would benefit from additional peeling. In 4/20 eyes (20%) acceptable images were captured, but they were not useful due to high TRD elevation which was challenging for imaging.Conclusion: SS-MIOCT can provide important guidance during surgery for PDR complications through intraoperative identification of different pathologies and facilitation of intraoperative decision making.

Published
2020
Full Text
View/download PDF

4. CORRELATION BETWEEN VISUAL FUNCTIONS AND OPTICAL COHERENCE TOMOGRAPHY, FUNDUS AUTO FLUORESCENCE AND FUNDUS FLUORESCEIN ANGIOGRAPHY FINDINGS IN TREATMENT-NAIVE DIABETIC MACULAR EDEMA

Author

Mohamed Omar Rashed, Maged Maher Roshdy, Sara Samy Gamal Eldin, Ahmed Mohamed Habib, and Sherif Nabil Embabi

Subjects
medicine.medical_specialty, Visual acuity, genetic structures, Color vision, Diabetic macular edema, Correlation, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Optical coherence tomography, Ophthalmology, medicine, Macular edema, medicine.diagnostic_test, business.industry, Retinal, Diabetic retinopathy, General Medicine, medicine.disease, eye diseases, chemistry, 030221 ophthalmology & optometry, sense organs, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract

Background: Diabetic macular edema (DME) is a sightthreatening consequence of diabetic retinopathy. So, identifyingreliable methods for DME prognosis is actually very helpful. Multimodal retinal imaging tools provide us with these predictive prognostic biomarkers Aim of the Work: To correlate between visual functions (visual acuity and color vision) with macular features of OCT, FAF and FFA in patients with untreated (treatment naive) DME as a guide for visualprognosis of these patients. Patients and Methods: Fifty eyes of35 diabetic patients with untreated clinically significant macular edema (CSME)underwent best corrected visual acuity (BCVA) determination (logMAR), fluoresce in angiography(FFA;FAZ size, macular leakage pattern, areas of capillary dropout)optical coherence tomography (OCT; central point foveal thickness [CPFT], volume, outer and inner retinal layers integrity[ONL,INL],hyper-reflective foci[HRF], subfoveal choroidal thickness[SFCT]); fundus auto fluorescence (Hyper FAF; absent or increased (FAF, single or multiple spots). Linear correlation and three-way analysis of covariance were used for statistics. Results: In OCT, we found that CPFT & ORL integrity is significantly well correlated to visual function (BCVA, color vision).However, CSFT was only correlated to visual acuity but not color vision. Regarding FFA parameters, especially (FAZ size, areas of capillary drop out), we found that these parameters are correlated significantly to visual acuity but not color vision. On the other hand,we found that the presence of hyper FAF spots was not related significantly to visual acuity but related to a significant level to color vision. However, a number of spots were not correlated to visual acuity or color vision. There was significant correlation between retinal thickness in OCT and type of leakage in FFA. Also, large cystoid spaces and FAF spots in the fovea were significantly correlated together. Conclusions: Integration between different retinal imaging tools in DME helps to find alternative and less invasive way in diagnosis.FAF is new, simple non-invasive imaging mode to assess RPE function with evolving application in DME.

Published
2020
Full Text
View/download PDF

5. The effect of monetary policy on credit risk: evidence from the MENA region countries

Author

Nagwa Samak, Mamdouh Abdelmoula M. Abdelsalam, and Sherif Nabil Mahrous

Subjects
media_common.quotation_subject, Risk premium, 05 social sciences, Monetary policy, Monetary economics, Interest rate, Risk appetite, Economic indicator, 0502 economics and business, Economics, Endogeneity, 050207 economics, 050205 econometrics, General Environmental Science, media_common, Panel data, Credit risk
Abstract

PurposeThe purpose of this paper is to explore the effect of monetary policy on bank risk in the banking system in some MENA countries. It explores how some economic and credit indicators affect the level of risk in the banking sector. It combines many factors that could affect banks’ risk appetite such as macroeconomic conditions, banks’ credit size and lending growth. The authors use nonperforming loans as a proxy for banking sector risks. At first, the authors have analyzed the linear relationship between monetary policy and credit risk. As mentioned above, nonlinearity is expected in the underlying relationship, and, thus, they have investigated the nonlinear relationship to deeply analyse the relationship using the dynamic panel threshold model, as stimulated by Kremeret al.(2013). Threshold models have gained a great importance in economics and finance for modelling nonlinear behaviour. Threshold models are useful in showing the turning points in the behaviour of financial and economic indicators. This technique has been applied in this study to study the effect of monetary policy on credit risk.Design/methodology/approachThis paper is divided into the following sections: Section 2 which previews the recent literature; Section 3 which includes some stylized facts about the relationship between credit risk and monetary policy; Section 4 which deals with the model and methodology; Section 5 which handles the data sources and discusses the results, and finally Section 6 which is the conclusion. The paper adopts dynamic panel threshold model of Kremeret al.(2013).FindingsThe results show that the relationship between monetary policy and credit risk is positive and significant to a certain threshold, 6.3. If the lending interest rate is higher than 6.3, this increases the credit risk in the banking sector, because increasing the lending interest rate imposes huge burdens on the borrowers, and, therefore, the bad loans and nonperforming loans become more likely. Thus, the MENA countries need to decrease the lending interest rate to be less than 6.3 to reduce the effect of monetary policy on credit risk. Further, these results are qualitatively robust regarding the inclusion of additional control variables, using alternative threshold variables and further endogeneity checks of the credit risk, such as Risk premium and the squared term of the lending interest rate. The results of taking the risk premium and the squared term of the lending interest rate as a threshold served the analysis and confirmed the positive relationship between monetary policy and credit risk above a certain threshold. As for the risk premium, the relationship below the threshold was negative and significant. Other related research points might be a good avenue for the future research such as applying this approach to micro data of banks from different MENA countries. Also, more sophisticated approaches like time-varying panel approach to assess the relationship over the time can be applied.Originality/valueThe importance of this paper lies in the fact that it does not only study the effect of time, but it also focuses on the panel data about some economic and credit indicators in the MENA region for the first time. This is because central banks in the MENA region have common characteristics and congruous level of economic growth. Therefore, to study how the monetary policy affects those countries’ credit risks in their lending policies, this requires careful analysis of how the central banks in this region might behave to control default risks.

Published
2020
Full Text
View/download PDF

7. Reduction of cardiac imaging tests during the COVID-19 pandemic: The case of Italy. Findings from the IAEA Non-invasive Cardiology Protocol Survey on COVID-19 (INCAPS COVID)

Author

Dondi, M., Milan, E., Pontone, G., Hirschfeld, C. B., Williams, M., Shaw, L. J., Pynda, Y., Raggi, P., Cerci, R., Vitola, J., Better, N., Villines, T. C., Dorbala, S., Pascual, T. N. B., Giubbini, R., Einstein, A. J., Paez, D., Italy: Domenico Albano, Pierpaolo, Alongi, Gaspare, Arnone, Elisa, Bagatin, Sergio, Baldari, Matteo, Bauckneht, Paolo, Bertelli, Francesco, Bianco, Rachele, Bonfiglioli, Roberto, Boni, Andrea, Bruno, Isabella, Bruno, Elena, Busnardo, Elena, Califaretti, Luca, Camoni, Aldo, Carnevale, Roberta, Casoni, Armando Ugo Cavallo, Giorgio, Cavenaghi, Franca, Chierichetti, Marcello, Chiocchi, Corrado, Cittanti, Mauro, Colletta, Umberto, Conti, Alberto, Cossu, Alberto, Cuocolo, Marco, Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, Veronica Della Tommasina, Rexhep, Durmo, Paola Anna Erba, Laura, Evangelista, Riccardo, Faletti, Evelina, Faragasso, Mohsen, Farsad, Paola, Ferro, Luigia, Florimonte, Viviana, Frantellizzi, Fabio Massimo Fringuelli, Marco, Gatti, Angela, Gaudiano, Alessia, Gimelli, Raffaele, Giubbini, Francesca, Giuffrida, Salvatore, Ialuna, Riccardo, Laudicella, Lucia, Leccisotti, Lucia, Leva, Liga, Riccardo, Carlo, Liguori, Giampiero, Longo, Margherita, Maffione, Maria Elisabetta Mancini, Claudio, Marcassa, Elisa, Milan, Barbara, Nardi, Sara, Pacella, Giovanna, Pepe, Gianluca, Pontone, Sabina, Pulizzi, Natale, Quartuccio, Lucia, Rampin, Fabrizio, Ricci, Pierluigi, Rossini, Giuseppe, Rubini, Vincenzo, Russo, Gian Mauro Sacchetti, Gianmario, Sambuceti, Massimo, Scarano, Roberto, Sciagrà, Massimiliano, Sperandio, Antonella, Stefanelli, Guido, Ventroni, Stefania Zoboli Members from Rest of the World (alphabetically by country and last name) Afghanistan: Mohammad Nawaz Nasery Albania: Artan Goda, Ervina Shirka Algeria: Rabie Benlabgaa, Salah, Bouyoucef, Abdelkader, Medjahedi, Qais Nailli Argentina: Mariela Agolti, Roberto Nicolas Aguero, Maria del Carmen Alak, Lucia Graciela Alberguina, Guillermo, Arroñada, Andrea, Astesiano, Alfredo, Astesiano, Carolina Bas Norton, Pablo, Benteo, Juan, Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul, Cabrejas, Jorge, Cachero, Roxana, Campisi, Alejandro, Canderoli, Silvia, Carames, Patrícia, Carrascosa, Ricardo, Castro, Oscar, Cendoya, Luciano Martin Cognigni, Carlos, Collaud, Claudia, Cortes, Javier, Courtis, Daniel, Cragnolino, Mariana, Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando, Dettori, Alejandro, Deviggiano, Laura, Dragonetti, Mario, Embon, Ruben Emilio Enriquez, Jorge, Ensinas, Fernando, Faccio, Adolfo, Facello, Diego, Garofalo, Ricardo, Geronazzo, Natalia, Gonza, Lucas, Gutierrez, Miguel Angel Guzzo, Victor, Hasbani, Melina, Huerin, Victor, Jäger, Julio Manuel Lewkowicz, Maria Nieves, A López De Munaín, Jose Maria Lotti, Alejandra, Marquez, Osvaldo, Masoli, Osvaldo Horacio Masoli, Edgardo, Mastrovito, Matias, Mayoraz, Graciela Eva Melado, Anibal, Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana, Molteni, Marcos, Montecinos, Eduardo, Noguera, Carlos, Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo, Pollono, Maria Paula Pujol, Alejandro, Radzinschi, Gustavo, Raimondi, Marcela, Redruello, Marina, Rodríguez, Matías, Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico, Rovaletti, Lucas San Miguel, Lucrecia, Solari, Bruno, Strada, Sonia, Traverso, Sonia Simona Traverzo, Maria del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan, Wolcan, Susana Zeffiro Armenia: Mari Sakanyan Australia: Scott Beuzeville, Raef, Boktor, Patrick, Butler, Jennifer, Calcott, Loretta, Carr, Virgil, Chan, Charles, Chao, Woon, Chong, Mark, Dobson, D'Arne, Downie, Girish, Dwivedi, Barry, Elison, Jean, Engela, Roslyn, Francis, Anand, Gaikwad, Ashok Gangasandra Basavaraj, Bruce, Goodwin, Robert, Greenough, Christian, Hamilton-Craig, Victar, Hsieh, Subodh, Joshi, Karin, Lederer, Kenneth, Lee, Joseph, Lee, John, Magnussen, Nghi, Mai, Gordon, Mander, Fiona, Murton, Dee, Nandurkar, Johanne, Neill, Edward, O'Rourke, Patricia, O'Sullivan, George, Pandos, Kunthi, Pathmaraj, Alexander, Pitman, Rohan, Poulter, Manuja, Premaratne, David, Prior, Lloyd, Ridley, Natalie, Rutherford, Hamid, Salehi, Connor, Saunders, Luke, Scarlett, Sujith, Seneviratne, Deepa, Shetty, Ganesh, Shrestha, Jonathan, Shulman, Vijay, Solanki, Tony, Stanton, Murch, Stuart, Michael, Stubbs, Ian, Swainson, Kim, Taubman, Andrew, Taylor, Paul, Thomas, Steven, Unger, Anthony, Upton, Shankar, Vamadevan, William Van Gaal, Johan, Verjans, Demetrius, Voutnis, Victor, Wayne, Peter, Wilson, David, Wong, Kirby, Wong, John Younger Austria: Gudrun Feuchtner, Siroos, Mirzaei, Konrad Weiss Belarus: Natallia Maroz-Vadalazhskaya Belgium: Olivier Gheysens, Filip, Homans, Rodrigo, Moreno-Reyes, Agnès, Pasquet, Veronique, Roelants, Van De Heyning Bolivia: Raúl Araujo Ríos Bosnia - Herzegovina: Valentina Soldat-Stankovic, Caroline M., Sinisa Stankovic Brazil: Maria Helena Albernaz Siqueira, Augusto, Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana, Andrade, Carlos, Anselmi, Roberta, Araújo, Guilherme, Azevedo, Sabbrina, Bezerra, Rodrigo, Biancardi, Gabriel Blacher Grossman, Simone, Brandão, Diego Bromfman Pianta, Lara, Carreira, Bruno, Castro, Tien, Chang, Fernando Cunali, Jr., Roberto, Cury, Roberto, Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda, Erthal, Fabio, Fernandes, Juliano, Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno, Ghini, Luiz, Goncalves, Ilan, Gottlieb, Marcelo, Hadlich, Vinícius, Kameoka, Ronaldo, Lima, Adna, Lima, Rafael Willain Lopes, Ricardo Machado, e Silva, Tiago, Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio, Medeiros, José Claudio Meneghetti, Vania, Naue, Danilo, Naves, Roberto, Nolasco, Cesar, Nomura, Joao Bruno Oliveira, Eduardo, Paixao, Filipe Penna De Carvalho, Ibraim, Pinto, Priscila, Possetti, Mayra, Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo, Rocha, Alfredo, Rodrigues, Carlos, Rodrigues, Leila, Romantini, Adelina, Sanches, Sara, Santana, Leonardo Sara da Silva, Paulo, Schvartzman, Cristina Sebastião Matushita, Tiago, Senra, Afonso, Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano, Siqueira, Paola, Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo, Spiro, Cláudio Tinoco Mesquita, Jorge, Torreao, Rafael, Torres, Marly, Uellendahl, Guilherme Urpia Monte, Otávia, Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto, Waltrick, Marcello Zapparoli Brunei Darussalam: Hamid Naseer Bulgaria: Marina Garcheva-Tsacheva, Irena Kostadinova Cambodia: Youdaline Theng Canada: Gad Abikhzer, Rene, Barette, Benjamin, Chow, Dominique, Dabreo, Matthias, Friedrich, Ria, Garg, Mohammed Nassoh Hafez, Chris, Johnson, Marla, Kiess, Jonathon, Leipsic, Eugene, Leung, Robert, Miller, Anastasia, Oikonomou, Stephan, Probst, Idan, Roifman, Gary, Small, Vikas, Tandon, Adwait, Trivedi, James, White, Katherine Zukotynski Chile: Jose Canessa, Gabriel Castro Muñoz, Carmen, Concha, Pablo, Hidalgo, Cesar, Lovera, Teresa, Massardo, Luis Salazar Vargas Colombia: Pedro Abad, Harold, Arturo, Sandra, Ayala, Luis, Benitez, Alberto, Cadena, Carlos, Caicedo, Antonio Calderón Moncayo, Sharon, Gomez, Gutierrez Villamil, Claudia T., Claudia, Jaimes, Juan, Londoño, Juan Luis Londoño Blair, Luz, Pabon, Mauricio, Pineda, Juan Carlos Rojas, Diego, Ruiz, Manuel Valencia Escobar, Andres, Vasquez, Damiana, Vergel, Alejandro Zuluaga Costa Rica: Isabel Berrocal Gamboa, Gabriel, Castro, Ulises, González, Croatia: Ana Baric, Tonci, Batinic, Maja, Franceschi, Maja Hrabak Paar, Mladen, Jukic, Petar, Medakovic, Viktor, Persic, Marina, Prpic, Ante Punda Cuba: Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner, Menéndez, Amalia, Peix, Luis Rochela Cyprus: Christoforos Panagidis, Ioannis Petrou Czech Republic: Vaclav Engelmann, Milan, Kaminek, Vladimír, Kincl, Otto, Lang, Milan Simanek Denmark: Jawdat Abdulla, Morten, Bøttcher, Mette, Christensen, Lars Christian Gormsen, Philip, Hasbak, Søren, Hess, Paw, Holdgaard, Allan, Johansen, Kasper, Kyhl, Bjarne Linde Norgaard, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf, Steffensen, Anders, Thomassen, Bo Zerahn Dominican Republic: Alfredo Perez Ecuador: Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez Egypt: Islam Shawky Abdel Aziz, Mahasen, Abougabal, Taghreed, Ahmed, Adel, Allam, Ahmed, Asfour, Mona, Hassan, Alia, Hassan, Ahmed, Ibrahim, Sameh, Kaffas, Ahmed, Kandeel, Mohamed Mandour Ali, Ahmad, Mansy, Hany, Maurice, Sherif, Nabil, Mahmoud Shaaban El Salvador: Ana Camila Flores Estonia: Anne Poksi Finland: Juhani Knuuti, Velipekka, Kokkonen, Martti, Larikka, Valtteri Uusitalo France: Matthieu Bailly, Samuel, Burg, Jean-François, Deux, Vincent, Habouzit, Fabien, Hyafil, Olivier, Lairez, Franck, Proffit, Hamza, Regaieg, Laure, Sarda-Mantel, Schneider Ghana: Harold Ayetey Greece: George Angelidis, Vania Tacher Germany: Roman P., Aikaterini, Archontaki, Sofia, Chatziioannou, Ioannis, Datseris, Christina, Fragkaki, Panagiotis, Georgoulias, Sophia, Koukouraki, Maria, Koutelou, Eleni, Kyrozi, Evangelos, Repasos, Petros, Stavrou, Pipitsa Valsamaki Guatemala: Carla Gonzalez, Goleat Gutierrez Honduras: Alejandro Maldonado Hungary: Klara Buga, Ildiko, Garai, Pál, Maurovich-Horvat, Erzsébet, Schmidt, Balint, Szilveszter, Edit Várady India: Nilesh Banthia, Jinendra Kumar Bhagat, Rishi, Bhargava, Vivek, Bhat, Mona, Bhatia, Partha, Choudhury, Vijay Sai Chowdekar, Aparna, Irodi, Shashank, Jain, Elizabeth, Joseph, Sukriti, Kumar, Prof Dr Girijanandan Mahapatra, Deepanjan, Mitra, Bhagwant Rai Mittal, Ahmad, Ozair, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Patel, Sudhir, Saxena, Shantanu, Sengupta, Santosh, Singh, Bhanupriya, Singh, Ashwani, Sood, Atul Verma Indonesia: Erwin Affandi, Padma Savenadia Alam, Edison, Edison, Gani, Gunawan, Habusari, Hapkido, Basuki, Hidayat, Aulia, Huda, Anggoro Praja Mukti, Djoko, Prawiro, Erwin Affandi Soeriadi, Hilman Syawaluddin Iraq: Amjed Albadr Islamic Republic of Iran: Majid Assadi, Farshad, Emami, Golnaz, Houshmand, Majid, Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi Israel: Eed Abu Zaid, Svetlana, Agranovich, Yoav, Arnson, Rachel, Bar-Shalom, Alex, Frenkel, Galit, Knafo, Rachel, Lugassi, Israel Shlomo Maor Moalem, Maya, Mor, Noam, Muskal, Sara, Ranser, Aryeh Shalev Jamaica: Dainia Baugh, Duane, Chambers, Ernest, Madu, Felix Nunura Japan: Hiroshi Asano, Chimura Misato Chimura, Shinichiro, Fujimoto, Koichiro, Fujisue, Tomohisa, Fukunaga, Yoshimitsu, Fukushima, Kae, Fukuyama, Jun, Hashimoto, Yasutaka, Ichikawa, Nobuo, Iguchi, Masamichi, Imai, Anri, Inaki, Hayato, Ishimura, Satoshi, Isobe, Toshiaki, Kadokami, Takao, Kato, Takashi, Kudo, Shinichiro, Kumita, Hirotaka, Maruno, Hiroyuki, Mataki, Masao, Miyagawa, Ryota, Morimoto, Masao, Moroi, Shigeki, Nagamachi, Kenichi, Nakajima, Tomoaki, Nakata, Ryo, Nakazato, Mamoru, Nanasato, Masanao, Naya, Takashi, Norikane, Yasutoshi, Ohta, Satoshi, Okayama, Atsutaka, Okizaki, Yoichi, Otomi, Hideki, Otsuka, Masaki, Saito, Sakata Yasushi Sakata, Masayoshi, Sarai, Daisuke, Sato, Shinya, Shiraishi, Yoshinobu, Suwa, Kentaro, Takanami, Kazuya, Takehana, Junichi, Taki, Nagara, Tamaki, Yasuyo, Taniguchi, Hiroki, Teragawa, Nobuo, Tomizawa, Kenichi, Tsujita, Kyoko, Umeji, Yasushi, Wakabayashi, Shinichiro, Yamada, Shinya, Yamazaki, Tatsuya Yoneyama Jordan: Mohammad Rawashdeh Kazakhstan: Daultai Batyrkhanov, Tairkhan Dautov Kenya: Khalid Makhdomi, Kevin Ombati Kuwait: Faridah Alkandari, Masoud Garashi Lao People's Democratic Republic: Tchoyoson Lim Coie, Sonexay Rajvong Latvia: Artem Kalinin, Marika Kalnina Lebanon: Mohamad Haidar Lithuania: Renata Komiagiene, Giedre, Kviecinskiene, Mindaugas, Mataciunas, Karim Malta: Luise Reichmuth, Donatas Vajauskas Luxembourg: Christian Picard Malaysia: Noor Khairiah A., Anthony Samuel Mauritius: Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee Mexico: Erick Alexanderson-Rosas, Erika, Barragan, Alejandro Becerril González-Montecinos, Manuel, Cabada, Daniel Calderon Rodriguez, Isabel, Carvajal-Juarez, Violeta, Cortés, Filiberto, Cortés, Erasmo De La Peña, Manlio, Gama-Moreno, Luis, González, Nelsy Gonzalez Ramírez, Moisés, Jiménez-Santos, Luis, Matos, Edgar, Monroy, Martha, Morelos, Mario, Ornelas, Jose Alberto Ortga Ramirez, Andrés, Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda, Sandoval, Miguel Santaularia Tomas, Sierra-Galan, Lilia M., Silvia, Siu, Enrique, Vallejo, Mario Valles Monaco: Marc Faraggi Mongolia: Erdenechimeg Sereegotov Montenegro: Srdja Ilic Morocco: Nozha Ben-Rais, Nadia Ismaili Alaoui, Sara Taleb Myanmar: Khin Pa Pa Myo, Phyo Si Thu Nepal: Ram Kumar Ghimire, Bijoy Rajbanshi Netherlands: Peter Barneveld, Andor, Glaudemans, Jesse, Habets, Klaas Pieter Koopmans, Jeroen, Manders, Stefan, Pool, Arthur, Scholte, Asbjørn, Scholtens, Riemer, Slart, Paul, Thimister, Erik-Jan Van Asperen, Niels, Veltman, Derk, Verschure, Nils Wagenaar New Zealand: John Edmond, Chris, Ellis, Kerryanne, Johnson, Ross, Keenan, Shaw Hua (Anthony) Kueh, Christopher, Occleshaw, Alexander, Sasse, Andrew, To, Niels Van Pelt, Calum Young Nicaragua: Teresa Cuadra, Hector Bladimir Roque Vanegas Niger: Idrissa Adamou Soli, Djibrillou Moussa Issoufou Nigeria: Tolulope Ayodele, Chibuzo, Madu, Yetunde Onimode Norway: Elen Efros-Monsen, Signe Helene Forsdahl, Jenni-Mari Hildre Dimmen, Arve, Jørgensen, Isabel, Krohn, Pål, Løvhaugen, Anders Tjellaug Bråten Oman: Humoud Al Dhuhli, Faiza Al Kindi, Naeema, Al-Bulushi, Zabah, Jawa, Naima Tag Pakistan: Muhammad Shehzad Afzal, Shazia, Fatima, Muhammad Numair Younis, Musab, Riaz, Mohammad Saadullah Panama: Yariela Herrera Papua New Guinea: Dora Lenturut-Katal Paraguay: Manuel Castillo Vázquez, José Ortellado People's Republic of Bangladesh: Afroza Akhter People's Republic of China: Dianbo Cao, Stephen, Cheung, Dai, Xu, Lianggeng, Gong, Dan, Han, Yang, Hou, Caiying, Li, Tao, Li, Dong, Li, Sijin, Li, Jinkang, Liu, Hui, Liu, Bin, Lu, Ming Yen Ng, Kai, Sun, Gongshun, Tang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wang, Jiang, Wu, Zhifang, Wu, Liming, Xia, Jiangxi, Xiao, Lei, Xu, Youyou, Yang, Yin, Wu, Jianqun, Yu, Yuan, Li, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhang, Li Zhu Peru: Ana Alfaro Philippines: Paz Abrihan, Asela, Barroso, Eric, Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry, Obaldo, Davidson, Pastrana, Christian Michael Pawhay, Alvin, Quinon, Jeanelle Margareth Tang, Bettina, Tecson, Kristine Joy Uson, Mila Uy Poland: Magdalena Kostkiewicz, Jolanta Kunikowska Portugal: Nuno Bettencourt, Guilhermina, Cantinho, Antonio Ferreira Qatar: Ghulam Syed Republic of Ireland: Samer Arnous, Said, Atyani, Angela, Byrne, Tadhg, Gleeson, David, Kerins, Conor, Meehan, David, Murphy, Mark, Murphy, John, Murray, Julie O'Brien Republic of Korea: Ji-In Bang, Henry, Bom, Sang-Geon, Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young, Kim, Jaetae, Lee, Chang Kyeong Namgung, Young, So, Kyoung Sook Won Republic of North Macedonia: Venjamin Majstorov, Marija Vavlukis Republic of Slovenia: Barbara Gužic Salobir, Monika Štalc Romania: Theodora Benedek, Imre, Benedek, Raluca, Mititelu, Claudiu Adrian Stan Russian Federation: Alexey Ansheles, Olga, Dariy, Olga, Drozdova, Nina, Gagarina, Vsevolod Milyevich Gulyaev, Irina, Itskovich, Anatoly, Karalkin, Alexander, Kokov, Ekaterina, Migunova, Viktor, Pospelov, Daria, Ryzhkova, Guzaliya, Saifullina, Svetlana, Sazonova, Vladimir, Sergienko, Irina, Shurupova, Tatjana, Trifonova, Wladimir Yurievich Ussov, Margarita, Vakhromeeva, Nailya, Valiullina, Konstantin, Zavadovsky, Kirill Zhuravlev Saudi Arabia: Mirvat Alasnag, Subhani Okarvi Serbia: Dragana Sobic Saranovic Singapore: Felix Keng, Jia Hao Jason See, Ramkumar, Sekar, Min Sen Yew Slovak Republic: Andrej Vondrak South Africa: Shereen Bejai, George, Bennie, Ria, Bester, Gerrit, Engelbrecht, Osayande, Evbuomwan, Harlem, Gongxeka, Magritha Jv Vuuren, Mitchell, Kaplan, Purbhoo, Khushica, Hoosen, Lakhi, Lizette, Louw, Nico, Malan, Katarina, Milos, Moshe, Modiselle, Stuart, More, Mathava, Naidoo, Leonie, Scholtz, Mboyo Vangu Spain: Santiago Aguadé-Bruix, Isabel, Blanco, Antonio, Cabrera, Alicia, Camarero, Irene, Casáns-Tormo, Hug, Cuellar-Calabria, Albert, Flotats, Maria Eugenia Fuentes Cañamero, María Elia García, Amelia, Jimenez-Heffernan, Rubén, Leta, Javier Lopez Diaz, Luis, Lumbreras, Juan Javier Marquez-Cabeza, Francisco, Martin, Anxo Martinez de Alegria, Francisco, Medina, Maria Pedrera Canal, Virginia, Peiro, Virginia, Pubul-Nuñez, Juan Ignacio Rayo Madrid, Cristina Rodríguez Rey, Ricardo Ruano Perez, Joaquín, Ruiz, Gertrudis Sabatel Hernández, Ana, Sevilla, Nahla Zeidán Sri Lanka: Damayanthi Nanayakkara, Chandraguptha Udugama Sweden: Magnus Simonsson Switzerland: Hatem Alkadhi, Ronny Ralf Buechel, Peter, Burger, Luca, Ceriani, Bart De Boeck, Christoph, Gräni, Alix Juillet de Saint Lager Lucas, Kamani, Christel H., Nadine, Kawel-Boehm, Robert, Manka, Prior, John O., Axel, Rominger, Jean-Paul Vallée Thailand: Benjapa Khiewvan, Teerapon, Premprabha, Tanyaluck Thientunyakit Tunisia: Ali Sellem Turkey: Kemal Metin Kir, Haluk Sayman Uganda: Mugisha Julius Sebikali, Zerida Muyinda Ukraine: Yaroslav Kmetyuk, Pavlo, Korol, Olena, Mykhalchenko, Volodymyr, Pliatsek, Maryna Satyr United Arab Emirates: Batool Albalooshi, Mohamed Ismail Ahmed Hassan United Kingdom: Jill Anderson, Punit, Bedi, Thomas, Biggans, Anda, Bularga, Russell, Bull, Rajesh, Burgul, John-Paul, Carpenter, Duncan, Coles, David, Cusack, Aparna, Deshpande, John, Dougan, Timothy, Fairbairn, Alexia, Farrugia, Deepa, Gopalan, Alistair, Gummow, Prasad Guntur Ramkumar, Mark, Hamilton, Mark, Harbinson, Thomas, Hartley, Benjamin, Hudson, Nikhil, Joshi, Michael, Kay, Andrew, Kelion, Azhar, Khokhar, Jamie, Kitt, Ken, Lee, Chen, Low, Sze Mun Mak, Ntouskou, Marousa, Jon, Martin, Elisa, Mcalindon, Leon, Menezes, Gareth, Morgan-Hughes, Alastair, Moss, Anthony, Murray, Edward, Nicol, Dilip, Patel, Charles, Peebles, Francesca, Pugliese, Jonathan Carl Luis Rodrigues, Christopher, Rofe, Nikant, Sabharwal, Rebecca, Schofield, Thomas, Semple, Naveen, Sharma, Peter, Strouhal, Deepak, Subedi, William, Topping, Katharine, Tweed, Jonathan Weir-Mccall United States of America: Suhny Abbara, Taimur, Abbasi, Brian, Abbott, Shady, Abohashem, Sandra, Abramson, Tarek, Al-Abboud, Mouaz, Al-Mallah, Omar, Almousalli, Karthikeyan, Ananthasubramaniam, Mohan Ashok Kumar, Jeffrey, Askew, Lea, Attanasio, Mallory, Balmer-Swain, Bayer, Richard R., Adam, Bernheim, Sabha, Bhatti, Erik, Bieging, Ron, Blankstein, Stephen, Bloom, Sean, Blue, David, Bluemke, Andressa, Borges, Kelley, Branch, Paco, Bravo, Jessica, Brothers, Matthew, Budoff, Renée, Bullock-Palmer, Angela, Burandt, Burke, Floyd W., Kelvin, Bush, Candace, Candela, Elizabeth, Capasso, Joao, Cavalcante, Donald, Chang, Saurav, Chatterjee, Yiannis, Chatzizisis, Michael, Cheezum, Tiffany, Chen, Jennifer, Chen, Marcus, Chen, Andrew, Choi, James, Clarcq, Ayreen, Cordero, Matthew, Crim, Sorin, Danciu, Bruce, Decter, Nimish, Dhruva, Neil, Doherty, Rami, Doukky, Anjori, Dunbar, William, Duvall, Rachael, Edwards, Kerry, Esquitin, Husam, Farah, Emilio, Fentanes, Maros, Ferencik, Daniel, Fisher, Daniel, Fitzpatrick, Cameron, Foster, Tony, Fuisz, Michael, Gannon, Lori, Gastner, Myron, Gerson, Brian, Ghoshhajra, Alan, Goldberg, Brian, Goldner, Jorge, Gonzalez, Rosco, Gore, Sandra, Gracia-López, Fadi, Hage, Agha, Haider, Sofia, Haider, Yasmin, Hamirani, Karen, Hassen, Mallory, Hatfield, Carolyn, Hawkins, Katie, Hawthorne, Nicholas, Heath, Robert, Hendel, Phillip, Hernandez, Gregory, Hill, Stephen, Horgan, Jeff, Huffman, Lynne, Hurwitz, Ami, Iskandrian, Rajesh, Janardhanan, Christine, Jellis, Scott, Jerome, Dinesh, Kalra, Summanther, Kaviratne, Fernando, Kay, Faith, Kelly, Omar, Khalique, Mona, Kinkhabwala, George Kinzfogl Iii, Jacqueline, Kircher, Rachael, Kirkbride, Michael, Kontos, Anupama, Kottam, Joseph, Krepp, Jay, Layer, Steven, H Lee, Jeffrey, Leppo, John, Lesser, Steve, Leung, Howard, Lewin, Diana, Litmanovich, Yiyan, Liu, Juan, Lopez-Mattei, Kathleen, Magurany, Jeremy, Markowitz, Amanda, Marn, Stephen, E Matis, Michael, Mckenna, Tony, Mcrae, Fernando, Mendoza, Michael, Merhige, David, Min, Chanan, Moffitt, Karen, Moncher, Warren, Moore, Shamil, Morayati, Michael, Morris, Mahmud, Mossa-Basha, Zorana, Mrsic, Venkatesh, Murthy, Prashant, Nagpal, Kyle, Napier, Jagat, Narula, Katarina, Nelson, Prabhjot, Nijjar, Medhat, Osman, Purvi, Parwani, Edward, Passen, Amit, Patel, Pravin, Patil, Ryan, Paul, Lawrence, Phillips, Venkateshwar, Polsani, Rajaram, Poludasu, Brian, Pomerantz, Thomas, Porter, Ryan, Prentice, Amit, Pursnani, Mark, Rabbat, Suresh, Ramamurti, Florence, Rich, Hiram Rivera Luna, Austin, Robinson, Kim, Robles, Cesar, Rodríguez, Mark, Rorie, John, Rumberger, Raymond, Russell, Philip, Sabra, Diego, Sadler, Mary, Schemmer, Joseph Schoepf, U., Samir, Shah, Nishant, Shah, Sujata, Shanbhag, Gaurav, Sharma, Steven, Shayani, Jamshid, Shirani, Pushpa, Shivaram, Steven, Sigman, Mitch, Simon, Ahmad, Slim, David, Smith, Alexandra, Smith, Prem, Soman, Aditya, Sood, Monvadi Barbara Srichai-Parsia, James, Streeter, Albert, T, Ahmed, Tawakol, Dustin, Thomas, Randall, Thompson, Tara, Torbet, Desiree, Trinidad, Shawn, Ullery, Samuel, Unzek, Seth, Uretsky, Srikanth, Vallurupalli, Vikas, Verma, Alfonso, Waller, Ellen, Wang, Parker, Ward, Gaby, Weissman, George, Wesbey, Kelly, White, David, Winchester, David, Wolinsky, Sandra, Yost, Michael Zgaljardic Uruguay: Omar Alonso, Mario, Beretta, Rodolfo, Ferrando, Miguel, Kapitan, Fernando Mut Uzbekistan: Omoa Djuraev, Gulnora Rozikhodjaeva Vietnam: Ha Le Ngoc, Son Hong Mai, and Xuan Canh Nguyen

Subjects
medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Cardiology, Settore MED/11 - Malattie dell'Apparato Cardiovascolare, COVID-19, Cardiac imaging, Cardiovascular disease, Article, cardiac imaging, Healthcare delivery, cardiovascular disease, Intensive care, Surveys and Questionnaires, Health care, Pandemic, medicine, Humans, Pandemics, Protocol (science), business.industry, SARS-CoV-2, Non invasive, Italy, humans, pandemics, surveys and questionnaires, cardiology, Emergency medicine, Cardiology and Cardiovascular Medicine, business
Abstract

Background: In early 2020, COVID-19 massively hit Italy, earlier and harder than any other European country. This caused a series of strict containment measures, aimed at blocking the spread of the pandemic. Healthcare delivery was also affected when resources were diverted towards care of COVID-19 patients, including intensive care wards. Aim of the study: The aim is assessing the impact of COVID-19 on cardiac imaging in Italy, compare to the Rest of Europe (RoE) and the World (RoW). Methods: A global survey was conducted in May–June 2020 worldwide, through a questionnaire distributed online. The survey covered three periods: March and April 2020, and March 2019. Data from 52 Italian centres, a subset of the 909 participating centres from 108 countries, were analyzed. Results: In Italy, volumes decreased by 67% in March 2020, compared to March 2019, as opposed to a significantly lower decrease (p < 0.001) in RoE and RoW (41% and 40%, respectively). A further decrease from March 2020 to April 2020 summed up to 76% for the North, 77% for the Centre and 86% for the South. When compared to the RoE and RoW, this further decrease from March 2020 to April 2020 in Italy was significantly less (p = 0.005), most likely reflecting the earlier effects of the containment measures in Italy, taken earlier than anywhere else in the West. Conclusions: The COVID-19 pandemic massively hit Italy and caused a disruption of healthcare services, including cardiac imaging studies. This raises concern about the medium- and long-term consequences for the high number of patients who were denied timely diagnoses and the subsequent lifesaving therapies and procedures.

Published
2021
Full Text
View/download PDF

8. Design of a smart energy efficient IoT wireless node

Author

Mohamed M. Elkhatib, Mohamed Sherif Nabil, and A. F. Tammamand

Subjects
business.industry, Computer science, Node (networking), Wireless, Internet of Things, business, Efficient energy use, Computer network
Abstract

The Internet of Things (IoT) is gaining greater effect in our life from day to day. Wireless sensor networks (WSN) are embedded into the “Internet of Things” and power saving is one of the problems that it faces. This study introduces a new circuit design for a DC-DC Buck-Boost converter for controlling the output voltage of Energy Harvester (EH) via adaptive Neuro-Fuzzy inference systems (ANFIS) controller. It has proven that there is an effective changes regarding settling time almost being zero, overshoot being negligible and steady state voltage. As an application for the proposed design, an implementation for Precision Agriculture (PA) self-sustainable Wireless Sensor-Node (WS-N) with low power consumption has been presented. A solar power management for Precision agricultural in internet of things system proved to enhance cost-efficiency and increased lifetime for the device. The simulation results are determined by means that of MATLAB/Simulink software. The cloud service of Blynk IoT has been implemented to monitor the collected data on real time. Data on solar cells, batteries and soil were regarded reliable and precise.

Published
2021
Full Text
View/download PDF

9. Fuzzy Power Management for Internet of Things (IOT) Wireless Sensor Nodes

Author

Mohamed Sherif Nabil, Ashraf Tammam, and Mohamed M. Elkhatib

Subjects
Power management, Computer science, business.industry, 05 social sciences, 050801 communication & media studies, 020206 networking & telecommunications, 02 engineering and technology, Fuzzy logic, 0508 media and communications, Control theory, 0202 electrical engineering, electronic engineering, information engineering, Wireless, business, Wireless sensor network, Energy harvesting, Energy (signal processing), Power management system, Computer network
Abstract

Internet of Things (IoT) is increasingly gaining impact from day to day in our lives. Wireless sensor networks (WSNs) are integrated into the “Internet of Things” and one of the challenges is energy saving. This paper focuses on a self-sustainable Wireless Sensor Node (WSN) for various Internet of Things applications with low power consumption. It is devoted to implement energy harvesting solutions to provide constant output voltage; therefore, a power management system (PMS) is needed to control and manage this output. That is, a DC-DC Buck-Boost converter had been proposed to control Energy Harvester output voltage via PID-like fuzzy controller.

Published
2019
Full Text
View/download PDF

10. Neuro Fuzzy DC-DC Converter

Author

Mohamed M. Elkhatib, Ashraf Tammam, and Mohamed Sherif Nabil

Subjects
Adaptive neuro fuzzy inference system, Electric power system, Neuro-fuzzy, Computer science, Settling time, Control theory, Buck–boost converter, Fuzzy logic, Power management system
Abstract

These days, on account of the immense advances in energy technology, sustainable power source has developed and turned into an essential part of the power system. However, the output energy that is collected from the natural surrounding elements is unstable, therefore this paper presents a DC-DC Buck-Boost Converter to control and manage the Energy Harvester output voltage via Neuro-fuzzy controller to provide constant output voltage for various power system applications among them are: self-sustainable Wireless Sensor Node. Based on adaptive Neuro-Fuzzy inference systems (ANFIS), this methodology combines the training talents of artificial neural networks and also the ability of fuzzy logic to handle imprecise knowledge. The execution of the proposed strategy is contrasted with that of a PID-like Fuzzy controller to exhibit its adequacy and it has proven that there is an effective changes regarding settling time almost being zero, overshoot being negligible and steady state voltage. The simulation results are determined by means that of MATLAB/Simulink toolbox.

Published
2018
Full Text
View/download PDF

11. Согласованное заключение экспертов ISHNE-HRS 2017 г. по амбулаторному мониторированию ЭКГ и наружному мониторированию деятельности сердца/телеметрии

Author

Steinberg, Jonathan S., Niraj Varma, Cygankiewicz, Iwona, Aziz, Peter, Paweł Balsam, Baranchuk, Adrian, Cantillon, Daniel J., Dilaveris, Polychronis, Dubner, Sergio J., El-Sherif, Nabil, Jaroslaw Krol, Malgorzata Kurpesa, Rovere, Maria Teresa La, Suave S. Lobodzinski, Locati, Emanuela T., Suneet Mittal, Olshansky, Brian, Piotrowicz, Ewa, Saxon, Leslie, Stone, Peter H., Tereshchenko, Larisa, Mintu Tarakhia, Turitto, Gioia, Wimmer, Neil J., Verrier, Richard L., Zareba, Wojciech, and Piotrowicz, Ryszard

Subjects
телеметрия, амбулаторное мониторирование ЭКГ, регистратор эпизодов, холтеровское мониторирование, петлевой регистратор, транстелефонное мониторирование
Abstract

Амбулаторная электрокардиография (АЭКГ) очень широко используется в различных клинических ситуациях для выявления нарушений ритма сердца и/или определения характера аритмий, когда это не удается сделать с помощью стандартной ЭКГ. Точная и своевременная характеристика аритмий имеет решающее значение для выбора терапии и может существенно влиять на диагноз, прогноз и клинические проявления заболевания у пациента. Информация о сердечном ритме, получаемая с помощью разнообразных устройств АЭКГ, часто ведет к персонализации медикаментозного и интервенционного лечения. Настоящий документ содержит обоснование и возможности применения методов АЭКГ в клинической практике, а также в клинических исследованиях.

Published
2018
Full Text
View/download PDF

12. Comparative Study between Three Regimens of Anti Vascular Endothelial Growth Factor Treatment in Management of Neovascular Age Related Macular Degeneration

Author

Sherif Nabil Embaby, Ahmed Samir Abd El-Wakeel Montasser, Osama Abd El-Monaem Abd El-Aziz Raslan, and Ahmed Abdallah Darwish

Subjects
Anti vegf, medicine.medical_specialty, business.industry, Ophthalmology, Age related, medicine, General Medicine, Macular degeneration, medicine.disease, business
Published
2013
Full Text
View/download PDF

13. Correlation between visual acuity and diabetic macular ischemia using optical coherence tomography angiography

Author

Lydia Maged Louis, Alaa E Fayed, Mohamed Salah Helal, Sherif Nabil Embabi, Ahmed M. Habib, and Mohammed Hashem

Subjects
medicine.medical_specialty, Visual acuity, genetic structures, business.industry, Ischemia, Macular ischemia, Context (language use), Retinal, Diabetic retinopathy, Optical coherence tomography angiography, medicine.disease, eye diseases, Correlation, chemistry.chemical_compound, chemistry, Ophthalmology, medicine, sense organs, medicine.symptom, business
Abstract

Context: Diabetic macular ischemia affects visual function to a variable degree. Aims: This study aims to find whether parameters of ischemia measured on optical coherence tomography angiography (OCTA) correlate with best spectacle-corrected visual acuity (BCVA). Settings and Design: A cross-sectional study was done on 33 eyes with diabetic retinopathy (DR) and 11 nondiabetic control eyes. Subjects and Methods: A 3 mm × 3 mm OCTA images of the superficial capillary plexus (SCP), intermediate capillary plexus (ICP), deep capillary plexus (DCP), and full-thickness retinal slabs were obtained and used to measure foveal avascular zone (FAZ) area and circularity index (CI) manually. Statistical Analysis Used: Statistical comparison between the diabetic and control groups and correlation with BCVA was calculated. Results: CI was significantly higher in controls in each of the SCP (P > 0.001), ICP (P > 0.05), DCP (P = 0.005), and full retinal thickness (P

Published
2019
Full Text
View/download PDF

14. Surgical management of synchronous coronary artery disease and multiple aortic stenosis: a case report with brief review of the literature

Author

Hoover, Eddie L., Hsu, Hwei-Kang, Diaz, Carlos, Khan, Rahman, Reddy, Chatla V.R., Gross, Andrew M., Webb, Hueldine, El-Sherif, Nabil, and Griepp, Randall B.

Subjects
cardiovascular system, Case Reports, Letters to the Editor
Abstract

One-stage surgery was successfully performed in a 44-year-old hypertensive man with uncontrolled angina, multiple coarctations of the thoracic and abdominal aorta, and a previous subtotal gastrectomy. There was a gradient of 120 mm Hg between the thoracic and abdominal aorta. A graft was placed retroperitoneally from the infrarenal aorta to the ascending aorta and was followed by a coronary artery bypass graft. Twenty-four months postoperatively, the patient was free of angina, and his hypertension was easily controlled.

Published
1985

Catalog

Books, media, physical & digital resources
See catalog results