Author: "YANG Kun" / Topic: business.industry - Searchworks@Jio Institute Digital Library Search Results

208 results on '"YANG Kun"'

1. iBuffet: An AIoT-Based Intelligent Calorie Management System for Eating Buffet Meals With Calorie Intake Control

Author: Yang-Kun Ou, I-Chen Lin, Liang-Bi Chen, and Wan-Jung Chang
Subjects: Calorie, business.industry, Environmental health, Management system, Control (management), Media Technology, Medicine, Electrical and Electronic Engineering, business, Calorie intake
Published: 2021

2. Optimizing selection indices in sugarcane seedlings

Author: Fu-qing Li, Jiayong Liu, Cai Wen Wu, Phillip Jackson, Peifang Zhao, Wei Qing, Xianming Wei, Zhao Jun, Zhao Liping, Chen Xuekuan, Zhao Yong, Yang Kun, and Li Yao
Subjects: business.industry, Biology, business, Agronomy and Crop Science, Selection (genetic algorithm), Biotechnology
Published: 2021

3. A narrowband blue circularly polarized thermally activated delayed fluorescence emitter with a hetero-helicene structure

Author: Zuo-Quan Jiang, Sheng-Nan Zou, Liang-Sheng Liao, Zi-Qi Feng, Yang-Kun Qu, Fan-Cheng Kong, You-Xuan Zheng, Sheng-Yi Yang, and Xiang-Ji Liao
Subjects: Materials science, business.industry, Metals and Alloys, General Chemistry, Electroluminescence, Fluorescence, Catalysis, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials, Full width at half maximum, chemistry.chemical_compound, Narrowband, Helicene, chemistry, Materials Chemistry, Ceramics and Composites, Optoelectronics, business, Common emitter
Abstract: A narrowband blue CP-TADF emitter with a rigid hetero-helicene structure (QAO-PhCz) was synthesized and characterized. QAO-PhCz exhibits good electroluminescence performance (EQE = 14.0%) and narrow FWHM. The enantiomers of QAO-PhCz display CPL and CPEL properties with |glum| and |gEL|values of up to 1.1 × 10−3 and 1.5 × 10−3, respectively.
Published: 2021

4. Optimal control of rapid cooperative spacecraft rendezvous with multiple specific-direction thrusts

Author: Zhao Junfeng, Yang Kun, Piaoyi Su, and Weiming Feng
Subjects: Spacecraft rendezvous, 020301 aerospace & aeronautics, Spacecraft, business.industry, Computer science, Mechanical Engineering, Rendezvous, Aerospace Engineering, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Thrust, 02 engineering and technology, Space (mathematics), Optimal control, 01 natural sciences, 0203 mechanical engineering, Physics::Space Physics, 0103 physical sciences, Aerospace engineering, business, 010303 astronomy & astrophysics
Abstract: Focusing on the long-distance rapid cooperative rendezvous of two spacecraft under finite continuous thrust, this paper proposes a practical strategy for space operation using multiple specific-direction thrusts. Based on the orbital dynamic theory and Pontryagin’s maximum principle, the dynamic equations and optimal control equations for radial, circumferential, and normal thrust are determined. The optimization method is a hybrid algorithm. The initial costate variables for the fuel-optimal rapid cooperative rendezvous problem are obtained using quantum particle swarm optimization and subsequently set as the initial values in the sequence quadratic programming to search for the exact convergent solution. The elliptical and near-circular mission orbital rendezvous for spacecraft with multiple specific-direction thrusts are simulated and optimized. Numerical examples verifying the proposed method are provided. The results facilitate easier realization of rapid spacecraft maneuvering under continuous thrust conditions.
Published: 2020

5. User preference and usability assessments of touchpad surface tactile in laptops

Author: Yang‐Kun Ou
Subjects: User experience design, Computer science, business.industry, Human–computer interaction, Human Factors and Ergonomics, Usability, Tactile sensation, Touchpad, business, Industrial and Manufacturing Engineering, Preference
Published: 2020

6. Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

Author: Ruan, Qiurong, Yang, Kun, Wang, Wenxia, Jiang, Lingyu, and Song, Jianxin
Subjects: 2019-20 coronavirus outbreak, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pain medicine, MEDLINE, 030208 emergency & critical care medicine, Critical Care and Intensive Care Medicine, 03 medical and health sciences, 0302 clinical medicine, 030228 respiratory system, Anesthesiology, Emergency medicine, medicine, China, business
Abstract: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.
Published: 2020

7. Topological reorganization of the default mode network in patients with poststroke depressive symptoms: A resting-state fMRI study

Author: Wai Kwong Tang, Lei Zhao, Yan Liang, Gabor S. Ungvari, Vincent Mok, Yong Cheng Yao, Yang Kun Chen, Lin Shi, and Winnie Cw Chu
Subjects: Male, Middle temporal gyrus, Prefrontal Cortex, Topology, Brain Ischemia, 03 medical and health sciences, 0302 clinical medicine, Parietal Lobe, mental disorders, Humans, Medicine, Prefrontal cortex, Stroke, Default mode network, Brain Mapping, medicine.diagnostic_test, Resting state fMRI, business.industry, musculoskeletal, neural, and ocular physiology, Brain, Inferior parietal lobule, Middle Aged, medicine.disease, Magnetic Resonance Imaging, 030227 psychiatry, Psychiatry and Mental health, Clinical Psychology, nervous system, Superior frontal gyrus, Female, business, Functional magnetic resonance imaging, human activities, psychological phenomena and processes, 030217 neurology & neurosurgery
Abstract: Objective This study mapped the topological configuration of the default mode network (DMN) in patients with depressive symptoms after acute ischemic stroke. Methods The study sample comprised 63 patients: 36 with poststroke depressive symptoms (PSD) and 37 without PSD matched according to age, gender and the severity of stroke. PSD was defined by a cutoff of ≥ 7 on the 15-item Geriatric Depression Scale (GDS). Resting-state functional magnetic resonance imaging (fMRI) was used to examine functional connectivity (FC) to reconstruct the DMN. Network based statistics estimated the FC differences of the DMN between the PSD and non-PSD groups. Graph theoretical approaches were used to characterize the topological properties of this network. Results The study sample mainly comprised patients with mild to moderate stroke. A widespread hyper-connected configuration of the functional DMN was characterized in PSD group. The orbital frontal, dorsolateral prefrontal, dorsal medial prefrontal and, ventromedial prefrontal corticis, the middle temporal gyrus and the inferior parietal lobule were the functional hubs related to PSD. The nodal topology in inferior parietal lobule and superior frontal gyrus, overlapping with dorsal medial prefrontal and, ventromedial prefrontal cortices, tended to be functionally integrated in patients with PSD. After False Discovery Rate correction, no significant difference between the PSD and non-PSD groups was found with respect to the global and nodal metrics of the DMN. However, the correlations between these altered network metrics and severity of PSD were lacking. Limitations The diagnosis of PSD was based on the GDS score rather than established with a structured clinical interview. Conclusions The DMN in PSD was functionally integrated and more specialized in some core hubs such as the inferior parietal lobule and dorsal prefrontal cortex. The configuration of the subnetwork like DMN may be more essential in the pathogenesis of PSD than single stroke lesions.
Published: 2020

8. SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study

Author: Nepogodiev, Dmitri, Simoes, Joana FF, Elizabeth, Li, Picciochi, Maria, Glasbey, James C, Baiocchi, Glauco, Blanco‐colino, Ruth, Chaudhry, Daoud, Alameer, Ehab, El‐boghdadly, Kariem, Wuraola, Funmilola, Ghosh, Dhruva, Gujjuri, Rohan R, Harrison, Ewen M, Lule, Herman, Kaafarani, Haytham, Khosravi, Mohammad, Kronberger, Irmgard, Leventoğlu, Sezai, Mann, Harvinder, Mclean, Kenneth A, Mengesha, Mengistu Gebreyohanes, Modolo, Maria Marta, Ntirenganya, Faustin, Norman, Lisa, Outani, Oumaima, Pius, Riinu, Pockney, Peter, Qureshi, Ahmad Uzair, Roslani, April Camilla, Satoi, Sohei, Shaw, Catherine, Bhangu, Aneel, Omar, Omar M, Ahmed, Waheed‐ul‐rahman, Argus, Leah, Ball, Alasdair, Bywater, Edward P, Brar, Amanpreet, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Jones, Conor S, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Marson, Ella J, Ots, Riinu, Santos, Irène, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, William, Xu, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Cox, Daniel, Townend, Philip, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Hossain, Kamral, Padmore, Greg, Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Gomes, Gustavo Mendonça Ataíde, Buarque, Igor Lima, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Martin, Janet, Ng‐kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong‐lin, Calvache, Jose Andres, Perez Rivera, Carlos J, Hadzibegovic, Ana Danic, Kopjar, Tomislav, Mihanovic, Jakov, Jiménez, Pablo Mijahil Avilés, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El‐hussuna, Alaa, Batista, Sylvia, Lincango‐naranjo, Eddy, Emile, Sameh, Sandoval, Danilo Alfonso Arévalo, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Acquah, Daniel Kwesi, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera‐arevalo, Maria‐lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Kembuan, Gabriele, Milan, Peiman Brouki, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin‐young, Jang, Jamal, Mohammad, Karout, Lina, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Sánchez, Iran Irani Durán, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Medina, Antonio Ramos‐De, Nunez, Jade, Nashidengo, Pueya Rashid, Shah, Rakesh, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Wright, Deborah, Abdur‐rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi‐olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Sayyed, Raza, Mohsen, Mustafa Abo, Abukhalaf, Sadi A., Cukier, Moises, Gomez‐fernandez, Hugo, Yip, Sebastian Shu, Ojeda, Ximena Paola Vasquez, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard‐alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Ingabire, Jc Allen, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Dieu, Haragirimana Jean, Munyaneza, Emmanuel, Ncogoza, Isaie, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Bravo, Ana Maria Minaya, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam, Mohammed Elmujtba Adam Essa, Rutegård, Martin, Sund, Malin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Huang, Abel, Lohsiriwat, Varut, Charles, Shane, Jlassi, Haithem, Isik, Arda, Lekuya, Hervé Monka, Kopetskyi, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead‐kendall, Brittany, Breen, Kerry, Mashbari, Hassan, Cal, Fernando Bonilla, Al‐naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Akhbari, Melika, Benson, Ruth, Bhanderi, Shivam, Biccard, Bruce, Caruana, Edward, Chakrabortee, Sohini, Chapatwala, Reema, Costas‐chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, James, Harelimana Grace, Griffiths, Ewen, Gronchi, Alessandro, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk‐iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, Mckay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vaughan‐shaw, Peter, Vidya, Raghavan, Wright, Naomi, Zimmelman, Natalie, Agastra, Ervis, Thereska, Dariel, Lucchini, Sergio Martin, Laudani, Veronica, Chwat, Carina, Salazar, Ivana Ines Pedraza, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Arancibia, José Alfredo Calderón, D’Aulerio, Giuliana, Dudi‐venkata, Nagendra, Egoroff, Natasha, Farik, Shebani, Lott, Natalie, Moss, Jana‐lee, Rennie, Sarah, Tan, Lorwai, Uyen Giao, Vo, Watson, David, Watters, David, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Mitul, Ashrarur Rahman, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Smèvo Romaric, Barros, Aldo Vieira, Júnior, Samuel Aguiar, Amaral Campos, Heloisa Galvão, Gross, Jefferson, Coimbra, Felipe José Fernandez, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Neto, Joao Pedreira Duprat, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St‐germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, Mackenzie, Shawn, Flexman, Alana, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Saenz, Dinimo Bolivar, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Alonso, Nestor Fabian Pedraza, Silva, Camilo Ortiz, Rodriguez, Juliana, Silva‐igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Calvache, Albaro José Nieto, Balanta‐melo, Julián, Figueroa‐casanova, Rafael, García‐montoya, Oscar‐julián, Toro, Carlos Andres Marulanda, Botero, Marcela Velez, Arango, Maria Clara Mendoza, Martinez, Eneida Diaz, Perdomo, Valentina Gutiérrez, Montenegro, Emileth, Rodriguez‐abreu, Julia, Mejía, Dolores, Abouelnagah, Galal, Shehata, Sameh, Rida, Ahmed Hossam Eldin Fouad, Hassan, Ramy A., Saad, Mahmoud M., Loaloa, Mohamed Reda, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Abebe, Metasebia, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Assefa, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Le Bian, Alban Zarzavadjian, Harper, Luke, Déserts, Marc Danguy, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Nkembi, Armande Subayi, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre‐alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin‐givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne‐cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler‐seyfried, Marie‐claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Ruiz, Alitza Gutiérrez, Rodas, Alejandra, Portilla, Ana Lucía, Carrera, Jacqueline, Duarte, Amalia Barrios, Lowey, Megan, Barillas, Sabrina, Suroy, Atul, Vaishnav, Dhaivat, Chowdappa, Raghunandan Gorantlu, Madabhavi, Irappa, Bhat, Dhananjaya, Venkatappa, Sunil Kumar, Thakar, Sumit, Jain, Kavitha, Kumar, Aruna, Nagar, Manoj, Mishra, Tushar, Sekar, Arunkumar, Gupta, Anand, Kaman, Lileswar, Karthigeyan, Madhivanan, Tripathi, Manjul, Rammohan, Ashwin, Vayoth, Sudheer Othiyil, Rajanbabu, Anupama, Subbian, Anbukkani, Gupta, Rahul, Raut, Monish, Evelyn, Nissi, Kannaiyan, R Lavanya, Matai, Anil, Misra, Sanjeev, Bhende, Vishal, Muthu, Sathish, Ghosh, Indranil, Sharma, Abhishek, Bajaj, Ankur, Rajan, Shiv, Agarwal, Gaurav, Pawar, Pranay, Alexander, Philip, Vijayakumar, M Vijayakumar, Hameed, Zeeshan, Badareesh, L, Chaudhry, Navneet Kumar, Baliarsing, Lipika, Dharap, Satish, Kulkarni, Amruta, Thyavihally, Yuvaraja, Sharma, Rahul Deo, Pramesh, C S, Soni, Rajesh, Dube, Surya Kumar, Sharma, Shilpa, Singh, Harvinder, Bains, Lovenish, Ghodke, Rahul, Kumar, Ashwani, Sodhai, Vivek, Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, Ranganath, N, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Maleki, Esmaeil Rezghi, Kandevani, Naser Yousefzadeh, Ikele, Hilary, Mcnestry, Catherine, Fleming, Christina, O’Brien, Stephen, Elwahab, Sami Abd, Davis, Niall, Javadpour, Mohsen, Mcdonnell, Brendan, Connor, Clare O, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, Cullinane, Carolyn, Creavin, Ben, Muheilan, Muheilan, Earley, Helen, Kabir, Syed Mohammad Umar, Fahadullah, Muhammad, Ryan, Éanna, Connelly, Tara, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., Qasem, Abdulrahman, Alawneh, Yazan, Ahmad, Amer, Aladawi, Omar, Alrayes, Bourhan, Haidar, Hanan, Husain, Shatha, Qassem, Faisal, Sumadi, Adnan, Salhiyeh, Ala’a Abu, Al‐manaseer, Balqees Mahmoud, Alsunna, Zaid, Ra’Ed, Hazim, Hamad, Faten Reyad Bani, Abuleil, Amro, Jimaale, Elmi Ahmed Mohamed, Abu‐mehsen, Marah, Olaywah, Noor, Wafi, Omar, Ababneh, Hazim, Abu‐ismail, Luai, Khamees, Almu’Atasim, Alkhatib, Ahmad, Bolatbekova, Raikhan, Kulimbet, Mukhtar, Nurgozhin, Talgat, Saliev, Timur, Zhussupov, Baurzhan, Almabayev, Ydyrys, Kaidarova, Dilyara, Tamoos, Khalil, Aqeelah, Ahmed, Mohammed, Alsnosy Abdullah Khalefa, Al Maadany, Faraj, Alkadeeki, Ghadah, Gahwagi, Milad, Aldressi, Wafa, Amnaina, Mohamed, Alansari, Arowa Hassan Abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Amer, Anass Ben, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Islam Ben Jouira, Rayet, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, Kieser, David, Mohyieldin, Omar, Mcintosh, Nick, Haran, Cheyaanthan, King, Jasmin, Jeong, Ha, Mcguinness, Matthew James, Adesanya, Opeoluwa, Olaogun, Julius, Akinmade, Akinola, Bwala, Kefas, Agbonrofo, Peter, Afolabi, Akinwale, Usang, Usang, Ekenze, Sebastian, Olori, Samson, Lawal, Taiwo Akeem, Okunlola, Abiodun, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty‐john, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami Ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Malik, Muhammad Usman, Yaqoob, Hassan Nawaz, Pacheco, Glenda Marina Falcon, Melendez, Robinson Mas, Urbina, Arazzelly Del Pilar Paucar, Chiuyari, Jose Rios, Alvarado, Carlos Eduardo Otiniano, Lau, Lorena Fuentes Rivera, Borda‐luque, Giuliano, Niquen‐jimenez, Milagros, Arias, Claudia, Zegarra, Sergio, Pallardel, Jenner Betalleluz, Oscco, Regina Amparo Ugarte, Mendiola, Gian, Colmenares, Yahaira Tatiana Carpio, Zapata, Carlos Shiraishi, Ortiz, Maria Rosa, Borges, Filipe Castro, Viveiros, Octavio, Serralheiro, Pedro, Santos‐costa, Paulo, Mendes, Filipa, Melo, Miguel Rocha, Cardoso, Paulo, Soares, Ana, Pereira, Rita Gonçalves, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida‐reis, Rui, Oliveira, João, Nogueiro, Jorge, Sampaio‐alves, Mafalda, Costa, Luciana Cidade, Baía, Catarina, Deus, Ana Cláudia, Branquinho, Rita, Marçal, André, Tojal, André, Makkai‐popa, Silviu Tiberiu, Mironescu, Aurel, Grama, Florin, Toma, Elena Adelina, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Dimofte, Mihail‐gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Pykhteev, Vadim, Raevskaya, Marianna, Butyrskii, Aleksandr, Alshahrani, Mushabab, Althumairi, Azah, Alzerwi, Nasser, Al Ameer, Ahmed, Madkhali, Tariq, Almulhim, Abddulrahman Saleh, Ghazwani, Salman, Ayoub, Abdu, Iskander, Othman, Ghunaim, Mohammed, Alharthi, Mohammed, Alzaidi, Turki M, Alyami, Mohammad, Al Amri, Abdulrahman, Alfakhri, Abdullah, Alhefdhi, Amal, Chowdhury, Sharfuddin, Nouh, Thamer, Alshehri, Ameen, Alzahrani, Abdulrahman, Alalawi, Yousef, Awad, Selmy, Konate, Ibrahima, Tendeng, Jacques, Teo, Nan Zun, Aqil, Sabra, López, Cristina Barrena, Mozo, Ana Sánchez, Infante, Antonio Rodriguez, Vivancos, Patricia Caja, Prieto, Mikel, Roman, Igor Alberdi San, Fernandez, Laura Gomez, Vives, Josep Maria Muñoz, Carreras‐castañer, Anna, Díaz‐feijoo, Berta, Sieira‐gil, Ramon, Turrado‐rodriguez, Victor, López, Anna Sánchez, Sánchez‐cabús, Santiago, Toscano, Marta Jimenez, Sin, MªPilar Canals, Laura, Saura García, Sole, Oriol Martin, Bellver, Pedro Palazon, Pérez‐bertólez, Sonia, Prat‐ortells, Jordi, Martínez, Mireia Riba, Rubio‐palau, Josep, Tarrado, Xavier, Nuñez, Jorge, Mendoza, Veronica Alonso, Bescós, Coro, Espin‐basany, Eloy, Espinosa‐bravo, Martin, Gil‐sala, Daniel, González‐suárez, Susana, Estruch, Nuria Montferrer, Mariño, Lucia Porteiro, Rodríguez‐tesouro, Ana, Portilla, Fabian Rojas, Pérez, M Pilar Tormos, Vives, Inmaculada, De Cortazar, Unai Garcia, Tudela, Kiara, Landaluce‐olavarria, Aitor, Gómez, Mercedes Estaire, Almoguera, Jorge, Ugarte‐sierra, Bakarne, Jimenez, Virginia, Bertrand, Marta, Puiggrós, Laura Cárdenas, Delisau‐puig, Olga, Garcia‐adamez, Jorge, Bergkvist, David Julià, Maldonado‐marcos, Eloy, García, Lucia Diego, Golet, Marta Roldón, Soto‐darias, Iván, Rahy‐martín, Aida Cristina, Enjuto, Diego, Ramos‐luengo, Adolfo, Fernandez, Juan Delgado, Duarte, Carolina Lugo, Thies, Cristina Ojeda, Marquez, Lucila, Vita, Diana Crego, Dziakova, Jana, Velasco, Jorge Caño, Mateo‐sierra, Olga, Quintana‐villamandos, Begoña, Valcarcel, Cristina Rey, Rio, Javier, León, Laura Román García, Di Martino, Marcello, Prada, Jorge, González, Javier Serrano, Losada, Manuel, Gomez, Jose Tomas Castell, Corripio‐sanchez, Ramon, Forero‐torres, Alexander, Morales‐puebla, José Manuel, Perez‐chrzanowska, Hanna, Gonzalez, Santiago Valderrabano, Yebes, Alvaro, Zapardiel, Ignacio, Alonso, Manuel Diez, Palacios, Nelson Morales, Sánchez, Alberto Cabañero, Fernández, Fátima Sánchez, Gurumeta, Alfredo Abad, Abad‐motos, Ane, Corella, Fernando, Ripollés‐melchor, Javier, Sanz‐gonzalez, Rosa, Fuentes, Marta Alcaraz, Martín, Maria Teresa Fernández, Espino, Pablo Calvo, Prats, Milagros Carrasco, Fernández‐lópez, Antonio‐josé, Escudero, Damián García, Soria, Vanesa Garcia, Alonso, Jesús Aarón Martínez, Ruiz‐marín, Miguel, Pérez, Beatriz Gómez, Moya‐angeler, Joaquin, Martínez, Daniel Fernández, Bayo, Heura Llaquet, Colás‐ruiz, Enrique, Romera, Susana Bella, Pellicé, M. Teresa Gavaldà, Solé, Misericòrdia Jordà, Velasquez, Enrique Jose Ruiz, Núñez, Bernardo, Jimenez, Raul, Zabaleta, Jon, González‐gimeno, Maria Jose, Vázquez, Irene Ortega, Ferrer, Antonio Perez, Martín‐láez, Rubén, Suarez, Marcelo Moreno, Eiras, Miguel Angel Freiria, Ramallo‐solís, Irene, Gomez‐rosado, Juan‐carlos, Guillen, Jose Ramon Oliver, Boira, Mar Achalandabaso, Bauset, Juan Carlos Catalá, Domenech, Julio, Badenes, Rafael, Bernal‐sprekelsen, Juan Carlos, Sancho‐muriel, Jorge, De Andrés‐Asenjo, Beatriz, Tejero‐pintor, Francisco J, Vallve‐bernal, Marc, Melero, Alba Vazquez, Blasco, Laura Sánchez, Escartin, Jorge, Mallén, Victoria Duque, Srishankar, Selvaratnam, Sooriyabandara, Charitha, Basnayake, Oshan, Gunawansa, Nalaka, Weeraddana, Prabuth Dulanjan, Vimalakanthan, Thanusan, Gishanthan, Shanthamoorthy, Chandrasinghe, Pramodh, Sauvain, Marc‐olivier, Ghazal, Ahmad, Al‐sabbagh, Yusra, Alhassoun, Turki, Albared, Sara Maa, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, Xaviour, Okedi Francis, Turinawe, Gaston, Mubezi, Isaac, Sikakulya, Franck K., Kakeeto, Andrew, Kabweru, Wilberforce M., Kiweewa, Ronald, Matovu, Paul, Isaac, Otolia, Mashhour, Mohamed, El Helw, Amin, Kherani, Safeena, Mohamed, Awadelkarim, Abbas, Ferial Mohamed Ali, Mohammed, Diary, Aldlyami, Ehab, Kundra, Rakesh, Michael, Antony Louis Rex, Khalil, Kareem S., Dbeis, Rachel, Shaikh, Shafaque, Ferry, Jenny, Jamal, Aiman, Siddique, Haleema, Das, Rishi, Ponugoti, Nikhil, Rattanasirivilai, Pornjittra, Sultana, Asma, Mosley, Frances, Chan, Matthew, Bateman, Antony, Davies‐jones, Gareth, Georgiades, Fanourios, Ahmadi, Navid, Coonar, Aman, Baig, Mariam, Khatri, Chetan, Surendran, Arthika, Sonksen, Julian, Sinnerton, Robert, Brennan, Caitlin, Faulkner, Gemma, Greenhalgh, Michael, Emerson, Hannah, Singisetti, Kiran, Totty, Joshua, Wilson, Michael, Terence, Lo, Corbett, Harriet, Okonkwo, Ijeoma, Arbane, Gill, Kerawala, Cyrus, Parmar, Chetan, Bath, Michael, Odejinmi, Funlayo, Sagar, Jayesh, Talwar, Rishi, Newman, Samuel, Hammond, John, Moir, John, Duric, Natalie, Szakmany, Tamas, Talib, Ahmar Iftikhar, Youssef, Mina, Lewis‐lloyd, Christopher, Lami, Mariam, Ayub, Khurram, Dean, Benjamin, Balasubramanya, Supriya, Lakpriya, Sathya, Rogers, Luke, Turner, Paul, Maher, Mark, Sigamoney, Kohila, El Kafsi, Jihène, Hardie, John, Johnson, David, Henein, Christin, Hollyman, Marianne, Agarwal, Ketan, Powell, Simon, Chauhan, Govind Singh, Patel, Rakesh, Gagnier, Joel, Carmichael, Heather, Aurora, Null, Olson, Kristofor A., Etchill, Eric, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Kaups‐fresno, Krista, Giorgakis, Emmanouil, Dinome, Maggie, Bhutiani, Neal, Alnachoukati, Omar, Aiken, Taylor, Diehl, Thomas, Gosain, Ankush, Rattan, Rishi, Ghani, Muhammad Owais Abdul, Ruzgar, Nensi Melissa, Liveris, Anna, Glass, Nina, Paranjape, Charu, Chin, Theresa, Meola, Antonio, Nicholson, Kristina, Squiers, John, Lueckel, Stephanie, Reisenauer, Janani, Callcut, Rachael, Mansour, Ahmed, Berndtson, Allison, Kornblith, Lucy, Seegert, Sara, Martins, Paulo, Al‐shehari, Mohammed, Al‐raimi, Ibrahim, Ngulube, Allan, Siamuchembu, Maphios, Mushiwokufa, Willard, Mlambo, Busisiwe, Chinyowa, Simbarashe, Bollano, Enton, Gjyli, Kostandin, Kerpaci, Jola, Vrapi, Enxhi, Zijaj, Lorena, Djahida, Bahraoui, Zohra, Belabbes Fatima, Khadidja, Kouidri, Bali, Oussama, Benallel, Nassim, Lalmi, Ismahene, Abdoun, Meriem, Aouabed, Nesrine, Bouaoud, Souad, Bouchenak, Kamel, Haif, Assia, Soualili, Zineddine, Bastet, Joaquin, Bianco, Agustín, Capitaine, Daniel, Lozada, Jorge Centeno, Esquivel, Carlos, Figueroa, Rodrigo, Garcia, Manuel, García, Pablo Martín, Gerchunoff, José Ignacio, Iascano, Fernando Martinez, Mondino, Jose, Muriel, María Emilia, Pablo, Carmignani, Passadore, Martin, Tornini, Alejandra, Traverso, Rogelio, Vargas, Lara, Zanoni, Gerardo, Berber, Norberto, Cotta, Estefanía, Di Vincenzo, Marcela, Gallino, Esteban Sebastian, Gigena, Cecilia, Grassano, Bianca, Lugones, Ignacio, Madrid, Constanza, Maricic, Maximiliano, Martinez, Antonio Alberto, Rosso, Andres, Scher, Pablo, Tachella, Sofia, Zezular, Damaris Idara Anabel, Abuawad, Carla, Forneris, Agustin Albani, Allemand, Carola, Calzaretta, Laura Gisela Alvarez, Boretto, Jorge G., Boudou, Rocio, Brandariz, Rodrigo, Buljubasich, Martin, Burchakchi, Arturo, Buttaro, Martin, Campana, Juan Pablo, Busnelli, Virginia Cano, Carminatti, Tomas, Lalín, Agustina Florencia Castro, Cereghini, Julian, Amor, María Sol Crespi, Croattini, Roberto Sebastián, Fernandez, Maria Sol, Figari, Marcelo, Fraidenraij, Uriel, Gallegos, Diego, García‐mansilla, Agustín Maria, Gonzalez, Marcos, Gonzalez, Matias Ignacio, Salazar, Esteban Gonzalez, Goransky, Jeremias, Gauna, Guillermo Hernandez, Higuera, Felipe, Holc, Fernando, Jauregui, Esteban Gabriel, Larrañaga, Juan, Liyo, Juan, Llano, Lionel, Lobos, Pablo, Luzzi, Emilia, Mastroianni, Gustavo, Mata‐suarez, Santiago Miguel, Mayer, Horacio F., Loughlin, Santiago Mc, Mendoza, Efrain, Mentz, Ricardo Esteban, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Oliva, Agustina Rene, Vidal, Rafael Perez, Poggi, Catalina, Premoli, Eduardo Jorge, Ramos, María Lourdes, Rosas, Patricio, Rossi, Luciano, Rossi, Gustavo, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Stang, María Verona, Taboada, María Victoria, Tirapegui, Sebastian, Uffelmann, Constanza, Vaccaro, Carlos, Vagni, Roberto, Valerio, Ana Clara, Zarratea, Celeste Soledad, Montal, Silvina, Morris, Brian, Valdez, Pedro, Diaz‐couselo, Fernando, Sabatini, Luciana, Alvarez, Fernando Andres, Avila, Micaela, Benitez, Nicole Benitez, Bruera, Nicolás, Doniquian, Marcelo, Gielis, Manuel, Liaño, Julian, Llahi, Florencia, Mandojana, Facundo, Páez, Walter, Parodi, Matias, Molina, Héctor Picon, Pinsak, Agustin, Viscido, German, Badra, Roberto, Belisle, Diego, Borla, Hernan, Eberle, Georgina, Esteban, Agustin, Ferrero, Carlos Ignacio, Furlan, Micaela, García, José Sebastian, Granero, Lucas, Henzenn, Mariel, Juaneda, Rodrigo, Vidal, Esteban Politi, Reyna, Guillermo Romero, Montero, José Gabriel Yaryura, Caubet, Maria Mercedes, D’Addino, José Luis, Daryanani, Deepu, Gosselink, Martijn, Ponson, Alex, Afzal, Mohamed, Amprayil, Mathew, Brooke‐smith, Mark, Chen, John, Grantham, James, Gricks, Benjamin, Hii, Amanda, Kundu, Nikhil, Liu, David, Livingston, Charles, Marshall‐webb, Matthew, Mcveay, Christina, Moore, Hamish, Nair, Gavin, Ong, Bee Shan, Parker, Dominic, Rudolph‐stringer, Victoria, Szpytma, Malgorzata, Vissapragada, Ravi, Wee, Melissa Yun, Wong, Geoffrey Yuet Mun, Barnett, Dylan Richard, Bochner, Melissa, Bolt, John, Buddingh, Karel, Coventry, Brendon, Davis, Sean, Dawson, Joseph, Denham, Stuart, Dobbins, Christopher, Fitridge, Robert, Gan, Siang Wei, Haque, Izhar‐ul, Herath, Matheesha, Jog, Shivangi, Kanhere, Harsh, Kuang, Beatrice, Lam, Yick Ho, Lambert, Virginia, Lim, Alicia, Maina, Grace, Moller, Cea‐cea, Neo, Eu Nice, Neo, Eu Ling, Nguyen, Alain, Prasad, Shalvin, Roy, Jennifer, Russell, Christine, Sammour, Tarik, Smith, Nicholas, Smith, Richard, Stranz, Conrad, Tourani, Saam, Tran, Steven, Van de Ven, Lucinda, Warren, Leigh, Whitfield, Robert, Wormald, Jamie, Yin, Yijie, Bierton, Christopher, Cribb, Benjamin, Foley, Katarina, Ong, Daniel, Watson, Matthew, Hampton, Jacob, Karam, James, Rugendyke, Anya, Zhang, Tyson, Vasey, Carolyn, Apellaniz, Eduardo, Frankel, Adam, Gahan, Lara, Guerra, Glen R, Liesegang, Amanda, Lutton, Nicholas, Maurice, Andrew, Miron, Scott, Prasad, Aveechal, Sercombe, Ashleigh, Sivapalan, Thanusan, Ahmad, Syed Danial Syed, Tee, Chin Li, Yaksich, Lachlan, Batstone, Martin, Breik, Omar, Young, Thomas, Field, Michael, Scott, Benjamin, Charlton, Gabriella, Chen, Si, Cheung, Henry Yan Chi, Gauri, Neha, Hayhurst, Ross, James, Sophie, Jang, Seyoung, Jia, Fangzhi, Zhang, Helen, Aujla, Randeep, Finsterwald, Michael, Percy, Digby, Tanaya, Alvin, Trivedi, Anand, Aylett, Andrew, Grills, Richard, Holmes, Angela, Kwok, Matthew Ming Kei, Lambers, Anton, Lambers, Leo, Lok, Evania, Nagra, Sonal, Page, Richard, Paltoglou, Nicholas, Panuganti, Vishwakar, Riddell, Sophie, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Amoils, Ricci, Bahtigur, Nazli, Bengeri, Savitha, Builth‐snoad, Lily, Cheah, Hock Ping, Chen, Paul, Chew, Kenneth, Chong, Alyssa, Clark, Sara, Kaul, Rhea Darbari, Devan, Eliya, Ewington, Christina, Fatima, Aleeza, Fitt, Sophia, Gaul, John, Ghosal, Paloma, Gojnich, Amy, Gunawardena, Indu, Hamer, Peter, Holmes, Samuel, Hou, Zhen, Jolly, Danielle, Kane, James Dimitri, Kaufman, Micayla, Khandelwal, Tanishq, Khanijaun, Sukhwant, Kwok, Kelvin, Latif, Edward, Laura, Sharon, Lee, Vivian, Leung, Catherine, Liang, Ina, Lin, Peter, Lun, Elizabeth Weng Yan, Luo, Haili, Victor, Ly, Jolande, Ma, Macnab, Brooke, Mcgee, Richard, Miles, Stephanie, Munro, William, Narroway, Harry, Ngan, Tin Yau, Noor, Anthony, Pahalawatta, Upuli, Park, Melissa, Parkin, Cameron, Poon, Rita, Somasundaram, Shanmugam S, Saab, Claudia, Simpson, Renwick, Steinel, Dana, Taylor, Emily, Tchen, Adrian, Thong, Shu, Tran, Kelvin, Tree, Kevin, Vance, Lucille, Wong, Ken, Victor, Yu, Zhang, Michael, Cox, Aram, Tan, David Chi Hau, Thani, Nova, Das, Shefali, Macdonald, Taigh, Salama, Paul, Sandhu, Gagandeep, Shadbolt, Rachel, Phan, Du, Townend, David, Eunmaro, Ju, Lee, Sang Mi, Barnett, Stephen, Kheslat, Hajar Hasan, Higgins, Andrew, Jamieson‐grigg, Chloe, Jenkins, Victoria, Larner, Brett, Perini, Marcos, Proud, David, Qin, Kirby, Riddiough, Georgina, Seevanayagam, Sivendran, Damien M., Wu, Zhao, Chris, Aggarwal, Sonali, Vinna, An, Battershell, Melanie, Chan, Elliot, Cheung, King Tung, Drake, Anna, Goonawardena, Janindu, Hunt, Benjamin, Christopher, Ip, Iyer, Vikram, Jain, Anshini, Kealey, Joshua, Lew, Chen, Lim, Christopher Seng Hong, Luck, Tara, Mackay, Sean, Maher, Natalie, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Steen, Christopher, Tsigaras, Zac, Tuttle, Zachary, Ward, Salena, Williams, Marli, Yeap, Evie, Zhou, Jessie, Coates, Amy, Mutalima, Nora, Tran, Ton, Nataraja, Ramesh, Sharpin, Claire, Bird, David, Choy, Kay Tai, Condron, Sarah, Daruwalla, Jurstine, Anjos, Isabela, El‐khoury, Hanna, Fabian, Robert, Gillard, Andrew, Greenop, Rebecca, Issa, Michael, Lee, Sharon, Mori, Krinal, Petrakis, Nikki, Qureshi, Maryum, Sabella, Danielle, Satasivam, Prassannah, Sathianathen, Niranjan, Seow, Sean Ezekiel, Shen, Amanda, Shi, Margaret, Tabassum, Meher, Teixeira, Rodrigo, Vivian‐taylor, Josephine, Wheatley, Jennifer, Shepherd, Sally, Soucisse, Mikael, King, Sebastian, O’Connor, Brendan, Teague, Warwick, Banting, Simon, Chong, Lynn, Clatworthy, Sharnel, Cochrane, Angela, Fox, Adrian, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Knowles, Brett, Newcomb, Andrew, Price, Veronique, Raman, Jaishankar, Read, Matthew, Rowcroft, Alistair, Taylor, Lillian, Wright, Gavin, Chana, Prem, Shaw, Kalai, Bock, Jacob, Cory, Jordan, Drummond, Katharine, Lahy, Jack, Mcintire, Thomas, Price, Benjamin, Stark, Claire, Besson, Alex, Gartrell, Richard, Lauritz, Brianne, Nguyen, Ha My Ngoc, Ong, Chui Foong, Pitcher, Meron, Scullion, Lorna, Tang, Howard, Taylor, Danielle, Wolf, Brigid, Wichmann, Matthias, Davis, Amelia, Maurel, Amelie, Raubenheimer, Kyle, Campbell, Cassidy, Colaco, Ashley, Machado, Maria Julia Corbetta, Heffernan, Abbie, Karihaloo, Costa, Ludbrook, Isabella, Park, Sean SW, Peerally, Bibi Nabeeha, Singhai, Camila, Stevens, Heidi, Vavilov, Sergey, Aubin, Anne‐marie, Harris, Margaret, Lim, Zhi Ying, Spring, Rebecca, Stieler, Melissa, Barnes, Nicholas Adamson, Alam, Ahmad Seraj, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Balogh, Zsolt J., Blatt, Alison, Cairns, Scott, Carroll, Jesse, Caterson, Andrew, Christie, Adam, Cope, Daron, Dale, Tyson, Dennis, Grace, Duggal, Anchal, Ennis, Brendan, Fenton, Mark, Yi Xin Joanna, Fu, Galevska‐dimitrovska, Ana, Gani, Jonathan, Gelzinnis, Scott, Gramlick, Madelyn, Hadlow, Claudia, Hardstaff, Ruth, Heer, Munish, Holmes, Merran, Hone, Bridget, Sophie, Hu, Huang, Linna, Iqbal, Ramiz, Jefferson, Niall, Kasthurirathne, Dimithi, Kuo, Stephen, Lau, Wayne Yan, Liang, Hsin‐ping, Lim, Daniel, Lin, Rosalina, Mcdonogh, Jack, Mcilwain, Elysse, Ming, Yan Joyce, O’Neill, Christine, Ocsan, Ryan James, Oosthuizen, Benjamin, Organ, Nicole, Otieno, James, Park, Felicity, Paterson, Amanda, Cerdeira, Marisol Perez, Peters, Luke, Petersson, Josefin, Rubbo, Sonia, Siribaddana, Venesa, Thurairajah, Kabilan, Ting, Caleb, Watson, Antonia, Way, Teagan, Wiadji, Elvina, Willoughby, Ellisha, Bailey, Ashley, Broadbent, Samuel, Narayanan, Viswanathan, Stephens, Samuel, Wilkes, Anna, Zhao, Jie, Ballal, Mohammed, D’Souza, Carl, Forbes, Clara, Goss, Matthew, Haddleton, Monique, Harty, Jacinda, Hayne, Dickon, Hew, Nicole, Koh, Wee Ling, Lee, Shawn, Malik, Shahbaz S, Abdul, Naseer Mohammed, Richards, Toby, Seow, Yi Th Ng, Wong, James, Archer, Leigh, Azaman, Nur Sabrina Binti Babe, Dilevska, Tina, Foo, Jonathan, Hans, Tasvinder, Jansen, Shirley, Kumar, Mohit, Leeson, Christopher, Pham, Terence, Pineda, Fernando Picazo, Rajakumar, Saravanan, Suk‐udom, Supisara, Tan, Jonathan, Thurston, Benjamin, Zhao, Bichen, Gupta, Shivangi, Hou, Lachlan, Jeyamanoharan, Nivedan, Leigh, James, Poh, Wei Shearn, Sala, Michael, Crothers, Rebecca, Dravid, Madhulika, Harrison, Ben, Islam, Sumayya, Mccartney, Conor, Nel, Henco, Pearson, Natasha, Apostolou, Christos, Berney, Christophe, Chou, Richard, Hanna, Sam, Lam, Andrew, Vanessa, Ma, Phanse, Salonee Shubhen, Elliott, Michael, Phung, Daniel, Barry, Jessica, Clark‐mackay, Eleanore, Cope, Jennifer, Halliwell, Richard, Chen, Ji, De Robles, Marie Shella, Llorando, Alyssa, Mahin, Humaira Haider, Rao, Dominic, Syed, Faisal, Abulafia, Daniel, Buckland, Benjamin, Cordingley, Timothy, Debiasio, Ashe, Drane, Andrew, Ireland, Patrick, Julien, Benji, Lan‐hoa, Le, Lee, Austin Yeon Suk, Loh, Eu Jhin, Middleton, Andrew, Mortimer, Brienna, Sebastian, Samuel, Short, Brooke, Stewart, Peter, Ruyven, Stephanie, Wong, Daniel, Zhang, Charry, Zhu, Bonnie, Ziaziaris, William, Leitner, Aran, Tolzman, Lukas, Zitt, Matthias, Rakos, Gergely, Székely, György, Djedovic, Gabriel, Königsrainer, Ingmar, Allmer, Caterina, Herritsch, Barbara, Mitteregger, Martin, Schauer, Christian, Seitinger, Gerald, Siebenhofer, Carmen, Uranitsch, Stefan, Duller, David, Mathew, Erwin, Skias, Christoph, Andrianakis, Alexandros, Belarmino, Armin, Brinskelle, Petra, Castellani, Christoph, Cohnert, Tina, Fediuk, Melanie, Fink, Andrea, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Leithner, Andreas, Lindenmann, Joerg, Lumenta, David, Michelitsch, Birgit, Mikalauskas, Saulius, Nischwitz, Sebastian P., Puchwein, Paul, Roj, Andrej, Schemmer, Peter, Singer, Georg, Smolle‐juettner, Freyja‐maria, Till, Holger, Wolf, Axel, Andraschofsky, Tibor Oliver, Angerer, Rafael, Arco, Daniel, Kaufmann, Claudia, Kilic, Nura, Widschwendter, Peter, Angermann, Reinhard, Bauer, Marlies, Bergmann, Nicole, Freyschlag, Christian, Gisinger, Martin, Gollmann‐tepeköylü, Can, Graber, Michael, Haim, Alexander, Harasser, Carina, Härter, Bettina, Hirsch, Jakob, Hofer, Markus, Holfeld, Johannes, Huber, Anna Lena, Kralinger, Martina, Krappinger, Dietmar, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Ninkovic, Marijana, Nowosielski, Yvonne, Osl, Antonia, Ower, Cornelia, Pölzl, Leo, Rauchegger, Teresa, Reimer, Daniel, Riecke, Johannes, Schwabegger, Anton H., Sokolovski, Filipp, Strimmer, Anna, Süss, Markus, Thaler, Martin, Umlauft, Julian, Zehetner, Claus, Zeimet, Alain G., Allerstorfer, Jakob, Haslhofer, David, Hofer, Daniel, Luger, Matthias, Pisecky, Lorenz, Poier, Nikolaus, Rubicz, Nina, Schmolmüller, Christoph, Zwittag, Paul, Rossmann, Tobias, Ruiz‐navarro, Francisco, Stefanits, Harald, Elsayed, Hend, Habertheuer, Peter, Hajkova, Tereza, Loidl, Wolfgang, Luger, Ferdinand, Windischbauer, Amadeus, Fischer, Ines, Függer, Reinhold, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Magele, Astrid, Mayr, Thomas, Noe, Chiara, Bittner, Reinhard, Borhanian, Kurosch, Dornauer, Isabella, Emmanuel, Klaus, Gabersek, Ana, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Hutter, Jörg, Jäger, Tarkan, Koch, Oliver, Lechner, Michael, Manzenreiter, Lisa, Mayer, Franz, Muehlbacher, Iris, Presl, Jaroslav, Rezaie, Daniel, Schredl, Philipp, Varga, Martin, Weitzendorfer, Michael, Wimmer, Angela, Brunner, Eberhard, Cillia, Michael, Gruber, Michaela, Grünbart, Martin, Heinrich, Elmar, Hoi, Hannes, Kemmetinger, Vanessa, Mittermair, Christof, Mosshammer, Victoria, Obrist, Christian, Paal, Peter, Roesch, Judith, Russe, Elisabeth, Schaetz, Tobias, Schirnhofer, Jan, Schwaiger, Karl, Wechselberger, Gottfried, Weiss, Helmut, Lanner, Maximilian, Binder, Alf‐dorian, Gürtler, Thomas, Fink, Marcus, Reichhold, Daniel, Stoyanova, Radoslava, Beitl, Klara, Bernardi, Martin H., Datler, Philip, Dawoud, Christopher, Farr, Alex, Foessleitner, Philipp, Grimm, Christoph, Harpain, Felix, Hoda, Mir Alireza, Holawe, Simone, Kranawetter, Marlene, Ott, Johannes, Perricos, Alexandra, Pesta, Maximilian, Pillerstorff, Robert, Reiterer, Christian, Riss, Stefan, Rosta, Klara, Scheriau, Georg, Tschernko, Edda, Wenzl, Rene, Wiedemann, Dominik, Wohlrab, Peter, Zapletal, Bernhard, Zimmermann, Matthias, Zimpfer, Daniel, Findl, Oliver, Fisus, Andreea, Ruiss, Manuel, Komaz, Melanie, Meindl, Nikolaus, Primavesi, Florian, Stadlbauer, Karl Heinz, Stättner, Stefan, Steiner, Florian, Cerny, Ondrej, Falkensammer, Eva, Knotzer, Hans, Köglberger, Paul, Poidinger, Bernhard, Wiesinger, Clemens Georg, Burtscher, Johannes, Rath, Sebastian, Trivik‐barrientos, Felipe, Aliyeva, Gunay, Behbudov, Vuqar, Muslumov, Gurbankhan, Zeynalov, Natiq, Alam, Mahmood, Alfayez, Fatema, Hasan, Batool, Mahdi, Maryam, Mulla, Husain, Qader, Kawthar, Saeed, Amr, Shirazi, Ahmed, Albastaki, Aysha, Birido, Nuha, Chagla, Hiba Hameed, Dawaishan, Abdulla, Dawaishan, Baheya, Farhan, Abeer, Juma, Isam, Khan, Asher, Patel, Aqsa Mohammad Eqbal, Srinivasan, Madhu, Deen, Fatema Waheed Akbar Mohamad Akbar Nawab, Abdulqadir, Seemal, Jabr, Abdulla, Maqsood, Fauzia, Almoosa, Noora, Naseer, Mai, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, Shahnoor, Islam, S. M. Nazmul, Karim, Sabbir, Faisel, Muntasir, Khan, Sadia, Mannan, Iftekhar Ibne, Nazia, Nawshin, Bentham, Malissa, Corbin, Sasha, Doyle, Alex, Eastmond, Asha, Haynes, Amelia, O’Shea, Margaret, Phillips, Emil, Walkes, Keisha, Artyushkov, Evgeniy L., Kaplan, Mark L., Straltsov, Vladislav, Litvina, Yauheniya, Lyzikov, Alexei, Tihmanovich, Victor E., Borges, Mafalda, Brits, Tim, De Hous, Nicolas, De Wachter, Stefan, Menovsky, Tomas, Mortiers, Xavier, Vermeulen, Dorien, Vleminckx, Nils, Ysebaert, Dirk, Bontinck, Julie, Bulthé, Danny, Rasschaert, Ricky, Van Haver, Anne‐sophie, Van Belle, Koen, Verstraeten, Laurence, Vounckx, Manon, D’Ulisse, Sébastien, De Bruyne, Yasmine, El Nakadi, Badih, Heloise, Tessely, Luisetto, Matteo, Marinakis, Sotirios, Maton, Maxime, Viste, Claire, Van Daele, Elke, Vandeputte, Mathieu, Duinslaeger, Marc, Jacobs‐tulleneers‐thevissen, Daniel, Jansen, Yanina, Janssens, Ward, Kunda, Rastislav, Messaoudi, Nouredin, Ruyssers, Michael, Van Eetvelde, Ellen, Vanhoeij, Marian, Van den Eynde, Jef, Van den Eynde, Raf, Chaoui, Ahmed M., Akpla, Marcellin, Lawani, Souliath, Agossou, Hermann, Behanzin, Hulrich Aouagbe, Bokossa, Covalic, Dewanon, Hubert, Yome, Hugues, Boukari, Alassan, Gbehade, Oswald, Tobome, Sèmèvo Romaric, Amossou, Labissi Francois, Dossou, Francis, Barišić, Tatjana, Boras, Miran, Brekalo, Zdrinko, Blagojević, Ivana Čuljak, Damjanović, Ana, Dragisic, Vedran, Šimić, Ana Dugandžić, Gunaric, Filip, Kajic, Martin, Knežević, Darko, Krešić, Tanja, Lasić, Valentina, Letica, Ludvig, Martinovic, Vlatka, Mikulic, Iva, Miskovic, Josip, Pehar, Hrvoje, Rastović, Pejana, Sesar, Irena, Šetka‐čuljak, Violeta, Soljic, Martina, Tiric, Dejan, Tomić, Vajdana, Vasilj, Anja, Hudic, Igor, Oliver, Renato Aguera, Lamonica, Felipe Azenha, De Medeiros, Jorge, Florindo, Henrique Donizetti Bianchi, Filho, Rodolfo Jose Favaretto, Pereira, Fernanda Costa, Rodrigues, Rodrigo, Junior, Antonio Antunes Rodrigues, Andrade, Fernanda Ruiz, Salvetti, Maisa, Campioto, Débora Schalge, Lamonica, Mayra Tuboi, Urbano, Gustavo, Prado, Ricardo Villela, Alonso, Nivaldo, Santos, Carlos Ferreira, Tonello, Cristiano, Pires, Robinson Esteves, Rezende, Ricardo Fernandes, Reis, Igor, Marson, Fernando Augusto Lima, Ferreira, Erick Pires, Palamim, Camila Vantini Capasso, Brandao, Marcelo, Souza, Tiago Henrique, Maunsell, Rebecca, Neto, Alfeu Accorsi, Accorsi, Guilherme, Fernandes, Murilo Francisco, Machareth, Camila, Moura, Barbara Viegas, Dias, Vanessa, Guarienti, Luciano, Sampaio, Lia Regina, Vendrame, Cristiano, Coelho, Tatiane Amorim, Becker, Karin, Dias, Andre, Fachin, Camila Girardi, Gomes‐da‐silva, Monica Maria, Moraes, Isabela, Pinto, Amanda, Stychnicki, Adriano Seikiti, Julio, Nathalia Siqueira, Santos, José Mauro, Junior, Humberto Fenner Lyra, Oliveira, João Carlos Costa, Onzi, Tiago Rafael, Gerber, Marlus Tavares, Coelho, Filipe Osni, Silva, Janaína Carla, Panis, Carolina, Rech, Daniel, Avelino, Melissa, Botacin, Lais, Gonçalves, Mateus Capuzzo, Santos Leite, Amanda Lira, Pol‐fachin, Laercio, Bezerra, Tainá Santos, Santos Junior Alcimar, Alcimar Lavareda, Amorim, Robson, Leão, Maria Eduarda Bellotti, Bergamasco, João José Corrêa, Pinheiro, Cintia Cardoso, Neto, Rubem Alves Da Silva, De Araújo, Elaine Francisca, Guimaraes, Lilian, Liborio‐kimura, Tatiana, Camara, Isabelle Melo, Siqueira, Victor Ripardo, Rodriguez, Juan, Silva, Jeancarllo, Junior, Rubem Alves Silva, Cardoso, Cláudio, Guimaraes, Andre, Alves, Wislene Sarajane Moreira, Menezes, Agna Soares Da Silva, Araujo, Marcelo, Brito, Kattiucy, Albuquerque, Josie Marcelle Lira, Dussan‐sarria, Jairo Alberto, Souza, Andressa, Stüker, Andre Ricardo, Bresciani, Tiago, Stefani, Luciana Cadore, Cavazzola, Leandro Totti, Costa, Tainá, Dasqueve, Matheus, Marangon, Gustavo De Bacco, Martins, Otávio Ritter Silveira, Rodrigues, Josy, Cardoso, Guilherme Roloff, Neto, Brasil Silva, Soares, Tilaê, Zanella, Aline, Filippi, Lucas Torelly, Guerra, Enilde Eloena, Cruz, Ricardo Pedrini, Kalil, Antonio Nocchi, Laporte, Gustavo, Salem, Moacyr, Lima Brazan, Murilo, Campos Prado, Caio Antonio, Moises, Elaine Christine Dantas, Suto, Hilda Satie, Yasuda, Alice Gadotti, Zani, Ana Carolina Tagliatti, Santos, Roberto Cardoso Cardoso, Duarte, Geraldo, Joviliano, Edwaldo Edner, Santos, Carolina Lourenço Gomes, Quintana, Silvana Maria, Tamashiro, Edwin, Valera, Fabiana Cardoso Pereira, Zaccaro, Marília Veccechi Bijos, Andreotti, Isis, Lima, Leonardo, Salgado, Wilson, Cunha Viana Júnior, Alonço, Moutinho, Lana, Oliveira, Cora Pichler, Martins, Isabela Trindade, Toledo, Isabela Vieira, Guimaraes‐filho, Marco Antonio Correa, Arrivabeno, Rodrigo, Murta, Claudio Bovolenta, Said, Danniel Frade, Junior, Jose Pontes, Pugliesi, Felipe Guimarães, Gregorio, Paulo, Mariani, Alessandro, Minamoto, Fabio, Silva, Juliana Lourenço, Muller, Bruno, Zanon, Caio, Carvalho, Vladimir C., Lima, Ana Lucia Munhoz, Oliveira, Priscila R, Santos Silva, Jorge, Teixeira, Mariana Faccini, Kulcsar, Marco, Matos, Leandro, Nunes, Kamilla Schmitz, Junior, Joel Abdala, Abdallah, Emne, Carvalho, Genival Barbosa, Farias, Igor Correia, Silva, Cassia, Eloi Pinto, Fabio Fernando, Facure, Luciana, Godoy, André, Kupper, Bruna, Leite, Fernanda, Melo Lôbo, Matheus, Mantoan, Henrique, Marques, Narimã, Marques, Tomas, Medici, João Paulo, Torres, Silvio Melo, Garcia, Katheryne Merlos, Meduna, Rafael Ribeiro, Herbst, Ana Carolina Scintini, Santos, Silvana Soares Dos, Gonçalves, Bruna Tirapelli, Antonini, Marcelo, Brienze, Carolina, Farah, José Francisco, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Rodrigues, Danilo Nadal, Pansani, Adrieli, Rocha, Maria Luiza, Simonsen, Marcelo, Tsuchiya, Daniela, Vasques, Rafaela, Amorim, Jorge, Carvalho, Ana Alyra, Correia, Rebeca, Santos, Brena Costa, Neto, Henrique Jorge Guedes, Nakano, Luis, Pereda, Mariana, Vasconcelos, Vladimir, Awada, Jamile Barakat, Gava, Guilherme, Ijichi, Tiago Riuji, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Pereira, Thiago Henrique Sigoli, Volpe, Gustavo Jardim, Gatti, Arthur, Nardi, Caroline, Oliva, Ramon, Oliveira, Layze Braz, Carvalho, Herica Emilia Félix, Ribeiro, Ivonizete Pires, Rodrigues, Gabriel Renan Soares, Sousa, álvaro Francisco Lopes, Chebel, Michel, Sousa Fernandes, Paulo Henrique, Freitas, Marcelo Augusto Faria, Cunha, Juliano Rodrigues, Ather, Zeenia, Dimitrov, Dobromir, Filipov, Emil, Gyokova, Elitsa, Ilieva, Ivelina, Ivanov, Tsvetomir, Karamanliev, Martin, Neykov, Vasil, Atanasov, Boyko, Belev, Nikolay, Kamenova, Paolina, Tonev, Kaloyan, Yotsov, Tsanko, Hristova, Evguenia, Spassov, Kolyo, Tsankov, Tsanko, Dardanov, Dragomir, Gribnev, Petar, Sokolov, Manol, Brown, James, Tanyi, John, Hurdle, Heather, Maclean, Anthony, Sander, Michael, Al Riyami, Salim, Bali, Krittika, Bigam, David, Dajani, Khaled, Anvari, Mehran, Bolis, Rafik, Choi, David, Ellis, Susan, Gupta, Michael, Hanna, Wael, Hong, Dennis, Horner, Cynthia, Luketic, Lea, Moisiuk, Peter, Shargall, Yaron, Alfaro, Hilda, Alkhamesi, Nawar, Allen, Laura, Brackstone, Muriel, Chan, Eunice, Cheng, Davy, Chui, Jason, Gonzalez, Nelson, Lanting, Brent, Macneil, S. Danielle, Mayer, Robert, Mcgee, Jacob, Nagappa, Mahesh, Power, Nicholas, Prempeh, Agya, Qiabi, Mehdi, Razvi, Hassan, Schemitsch, Emil, Sehmbi, Herman, Shah, Ushma, Subramani, Yamini, Vasarhelyi, Edward, Vogt, Kelly, Yang, Homer, Abdehgah, Ali Ghorbani, Balvardi, Saba, Feldman, Liane, Fiore, Julio Flavio, Hanson, Melissa, Hopkins, Brent, Kaneva, Pepa, Lee, Lawrence, Leonard, Julia, Abou‐khalil, Jad, Martel, Andre, Stevenson, James, Lee, Susan, Merchant, Richard, Avoine, Samuel, Belanger, Laurence, Belanger, Mathieu, Belzile, Etienne, Blais, Anne‐sophie, Boucher‐kovalik, Sofia, Boulanger‐gobeil, Cindy, Cardinal, Etienne, Champagne, Pierre‐olivier, Cloutier, Jonathan, Corriveau‐durand, Simon, Cote, Mathieu, Cote, Maxime, Côté, Mathilde, Courval, Valérie, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Girard, Karine, Girard, Ève‐marie, Gosselin, Karo, Khuong, Helene, Labrecque, Nathalie, Langlais, Eve‐lyne, Larouche, Audrey, Lavallée, Andréane, Lemyre, Madeleine, Maheux‐lacroix, Sarah, Marien, Melissa, Marin, Patrick, Mauger, Julie, Milot, Genevieve, Nadeau, Sylvie, Nguyen, Sebastien, Paris, Mélinda, Pelet, Stéphane, Plante, Marie, Plante, Carole, Pouliot, Frederic, Renaud, Marie Claude, Sarlabous, Mathilde, Schmit, Isabelle, St‐germain, Raphaël, Johnston, Brian, Labine, Nicole, Persad, Amit, Pham, Hong, Wood, Melissa, Azam, Riordan, Atrey, Amit, Beckett, Andrew, Cohen, Daniel, Das, Sunit, Daza, Julian, Dunkerton, Cheryl, Ellenbogen, Yosef, Hanley, Ciara, Kellett, Sorcha, Khoshbin, Amir, Ladha, Karim, Mcfarlan, Amanda, Montgomery, Spencer, Pazmino‐canizares, Janneth, Suresh, Hrishikesh, Vasdev, Ravleen, Ahmed, Maira, Gentili, Fred, Kalyvas, Aristotelis, Millesi, Matthias, Sarica, Can, Shaikh, Taariq, Leslie, St, Jacques, Null, Tabasinejad, Raha, Zadeh, Gelareh, Hsiao, Marvin, Jedrzejko, Nicole, Black, Peter, Broe, Claire, Dandurand, Charlotte, Grey, Rebecca, Leung, Philemon, Lindberg, Andrew, Gutierrez, Juan Mata, Mayson, Kelly, Meneghetti, Adam, Phillips, Drew, Street, John, Calderón, Carolina Carvajal, Pizarro, Daniel Alejandro Donoso, Fernández, Esteban, Molero, Ángela, Mutarello, Nastassja, Lucic, Jorge Núñez, Gaete, Katherine Ochoa, Lopez, Catalina Ruiz, Sepúlveda, Rina, Ulloa, Camila, Barreda, Mauricio, Dallaserra, Matias, Wood, Matías Günther, Tobar, Mauricio Sandoval, Garcia‐huidobro, Francisco, Dona, Jimena, Diez, Carolina Soto, Igor, Daniel, Mena, Javier, Reyes, José Tomás, Soto, Catalina Arredondo, Campos, Jose, Gonzalez, Javier, Rivera, Barbara, Altamirano‐villarroel, Jaime, Cohn, David, Amesti, Luis Marin, Recabal, Pedro, Sandoval, Camilo, Fonseca, Bruno Catoia, Contador, Monica, Hodali, Andres, Pincheira, Camila, Mantilla, Andrea Ramos, Garrido, Claudio Salas, Torres, Janina, Valenzuela, Marco, Chen, Zehua, Jiankun, Hu, Tao, Jin, Yang, Kun, Zhang, Yuexin, Chen, Yuan, Cunchuan, Wang, Yang, Wah, Bai, Xueli, Liang, Tingbo, Tao, Ma, Ning, Pu, Yin, Hanlin, Caicedo, Camilo, Beltran, Diego Felipe Tellez, Escobar, Alejandro, Granados, Carolina Perez, Pinzon, Lisbeth Alexandra Urueña, Bonilla, Carlos, Santana, Diana, Serrano, Oscar, Garcia, Andrea, Luque, Fernando Giron, Patino‐jaramillo, Nasly G., Baquero, Laura Giselle Contreras, Botero, Nestor Augusto Muñoz, Castellanos, Jhoana Andrea Murillo, Calvera, Andrea Juliana Vega, Acosta Buitrago, Lina M., Bohórquez‐tarazona, Maria Paz, Rivera, Paulo Andrés Cabrera, Felipe Casas, J, Alfaro, Valeria Cormane, Corso, Julian, Guerra, Bayron, Guerrero‐becerra, Albert Franz, Abiyomaa, Akram Kadamani, Montes, Felix Ramon, Paz, Manuel Santiago Mosquera, Sandoval, Camilo Andrés Polanía, Quintana, Natalia, Ortega, Carlos Fernando Roman, Santacruz, Carlos, Téllez, Manuela, Sánchez, Camilo Alejandro Velandia, Arias‐amézquita, Fernando, Vargas, Luis Felipe Cabrera, Murgueitio, Natalia Cortes, Escorcia, Elkin, Ghotme, Kemel Ahmed Ghotme, Gomez‐mayorga, Jorge Luis, Vergel, Alvaro Felipe Guerrero, Herrera‐almario, Gabriel, Londono‐schimmer, Eduardo, Mejia, Juan A., Monsalve, Guillermo, Rodriguez, Camilo, Niño, Juan Nicolas Rodriguez, Ortegón, Luis Martín Rodríguez, Sanabria, Daniel, Alvarez, Andres, Andrade, Arnulfo, Ardila‐montealegre, Javier, Baquero, David, Vidales, Edgar Mauricio Barrios, Giraldo, María Alejandra Caicedo, Carvajal, María Camila, Castillo, Maria, Florez, Maria Carolina Castillo, Cendales, María Angelica, Monroy, Danny Conde, Cortes, Henry, Daniel, Mario, De la Peña, Jairo, Delgado‐nieto, Elena Leonor, Espitia, Hernando, Avendaño, Carlos Figueroa, Burgos, Edgar Oswaldo Hernandez, Isaza‐restrepo, Andres, Londono, German, Maldonado, Margarita Maria, Montenegro, Andrea, Navarro, Juan Carlos, Navarro‐alean, Jorge, Abaunza, Katherine Parra, Pulido, Eliana, Ramírez Amaya, Erika M., Chaves, Carlos Eduardo Rey, Rincón, Natalia Andrea Rivera, Castillo, William Mauricio Riveros, Sanchez, Lizeth Rodriguez, Rubiano, Wilson, Russi, Maria, Olarte, Juan Carlos Sabogal, Tovar, Javier Mauricio Salgado, Sanchez, Maria Juliana, Varela, David Mauricio Solano, Gomez, Paula Torres, Trillos, Marcial, Patiño, Ana María Vargas, Vargas‐barato, Felipe, Leon, Juan Pablo Villate, Useche, María Alejandra Wagner, Acosta, Jesus, Almeciga, Adriana, Mendez, Luis Becerra, Beltran, Rafael Jose, Bonilla, Ana, Buitrago, Miguel, Cabrera, Marino, Quiroz, Pedro Hernando Calderon, Camacho‐nieto, Diego, Fierro, Carlos Andrés Carvajal, Bonilla, Sergio Cervera, Diaz, Sandra, Facundo, Helena, Forero, Jorge, Mora, Mauricio Garcia, Tirado, Karena Victoria Garcia, Perez, German Fabian Godoy, Gonzalez, Felipe, Guevara, Oscar, Hernandez, Jairo Alonso, Mora, David Ricardo Herrera, Lalinde, Juan David, Lehmann, Carlos, Llanos, Eduardo Leon, Lopez, Byron Eduardo Lopez De Mesa, Mariño, Ivan, Medina, Monica, Morales, Raúl Eduardo Pinilla, Puerto, Angela, Null, Ma, Quintero‐ortíz, Andrea, Hernández, Juliana Rendón, Cortés, Elio Fabio Sánchez, Hernández, Alvaro Eduardo Sánchez, Suarez, Raul, Suescun, Oscar, Vanegas, Marco, Varela, Rodolfo, Bernal, Jorge Luis Velez, Viveros‐carreño, David, Gómez, Daniela Camargo, Fletcher, Angelica, Merchan, Abel, Luna, Euler Javier Burbano, Cujiño, Indira, Galvis, Mauricio Velasquez, Galliadi, Lina Maria Vergara, Gonzalez, Orlando Abonia Gonzalez Abonia, Saravia, Maria Fernanda Acuna, Arroyave, Roberto, Angulo, Jose Maria Barreto, Bonilla‐escobar, Francisco Javier, Cardona, Uriel, Giacometto, Ivan Castañeda, Castillo, José Luis, Castillo‐cobaleda, Diego Fernando, Garcia, Diego Jose Caycedo, Tello, Brenda Marcela Coll, Dueñas‐ramirez, Juan Carlos, Vidarte, Oscar Andres Escobar, Figueroa, Luis, Garcia‐perdomo, Herney, Gomez, Alden, Gomez, Laura, Gomez, Alejandro, Grande‐gil, Ana María, Guarin, David, Guzman, Natalia, Castañeda, Enrique Herrera, Hinaoui, Marisol, Escobar, Anuar Armando Idrobo, Kammerer, Christian Kammerer, Leon, Sergio, Lucero, Carlos Antonio Llanos, López, Angie, Martinez‐blanco, Alexander Maximiliano, Casella, Antonio José Montoya, Corredor, Ricardo Andres Niño, Ordoñez, Sebastian, Uribe, Diego Alfredo Palta, Serna, Andrea Carolina Perea, Ríos, July, Ríos‐samper, Gabriel, Garcia, Juan David Rivera, Moreno, Juan Camilo Salcedo, Sandoval, John, Ramirez, Guillermo Alberto Sarmiento, Romero, Paola Andrea Tabares, Urzola, Ricardo, Valdes‐duque, Iliana Maria, Velasquez, Miguel, Villegas, Lina Maria, Zapata‐copete, James, Lara, José Omar Zorrilla, Zuluaga, Mauricio Zuluaga, Moreno, Alejandra Echeverri, Figueroa, Juan Sebastian, Ortiz, Adolfo Enrique Gómez, Mosos, Maria Fernanda Gonzalez, González‐orozco, Alejandro, Roncancio, Juan Jose Jaramillo, Martínez, María Camila Leyva, Mosos, Monica, Ramirez, Juan Sebastian, Rodríguez, Henry Andrés, Henao, Juan David Saavedra, Varón, María Alejandra Torrado, Ramírez, Leidy Natalia Idarraga, Ocampo, Lorena, Marin, Monica Cardona, Gonzalez, Ana Maria Marin, Mejia, David Alejandro, Vanegas, Luis Emiro, Martinez, Yicel Alvarez, Vesga, Sandra Aruachan, Fuentes, Dayana Vanessa Baron, Salas, Alejandra Caballero, Estrada, Gustavo Antonio Martinez, Campo, Kelly Viloria, Alvarez, Juan Antonio Corralez, Regino, Cesar David Galindo, Velasquez, Angela Maria Giraldo, Moreno, Carlos Enrique Melo, Tejada, Jorman H., Tovar, Jesus Hernan, Tovar, German Alirio, Hernández, Edison Alexander Benavides, Orozco‐chamorro, Claudia Milena, Angel, Gustavo Adolfo, Buesaquillo, Christian Ali, Montaño, Victor David Olave, Sánchez‐gómez, Andrés, Ureche, Daniela Patricia Escalante, Garrido, Jairo Martinez, Genda, Eben‐ezer, Eboma, Fabrice, Bitunjac, Kristina, Grulović, Karlo, Vučković, Marijana, Šantak, Goran, Borovic, Emanuel, Versic, Ana Bosak, Hasandić, Damir, Grabar, Natasa Poldan, Medancic, Suzana Srsen, Brkic, Lucija, Cokarić, Sara, Palac, Petra Pavic, Samac, Zeljka, Tomić, Josipa, Vrdoljak, Marija, Bacic, Ivan, Bakmaz, Bernarda, Vučičić, Nikolina Bratošević, Brzic, Domagoj, Canovic, Samir, Dijan, Emilio, Dragicevic, Maja Grgec, Karlo, Robert, Konjevoda, Suzana, Kovačević, Petra, Kovačić, Ivan, Markulić, Frane, Matak, Luka, Morović, Domagoj, Perišić, Gordan, Simic, Andrea, Skitarelić, Neven, Veršić, Matea, Žufić, Vanja, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Litvic, Dubravka Heli, Markov‐glavas, Duska, Jovanovic, Tatjana Savic, Augustin, Goran, Biloš, Jerko, Biočina, Bojan, Biosic, Vedrana, Bobovec, Dino, Botica, Iva, Bumber, Boris, Čerina, Petra, Vukovic, Katarina Duric, Gasparovic, Hrvoje, Gatin, Lucija, Grsic, Kresimir, Radojković, Ika Gugić, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Kulis, Tomislav, Kunjko, Kristian, Maric, Marjan, Kavanagh, Marcel Marjanović, Milicic, Borna, Morić, Trpimir, Pasini, Miram, Penezić, Luka, Prgomet, Drago, Prstacic, Ratko, Prtorić, Andreja, Radojković, Rudolf, Romić, Ivan, Sečan, Tomislav, Šoša, Dora škrljak, Slipac, Juraj, Tomic, Mislav, Zedelj, Jurica, Zekulić, Toni, Zimak, Zoran, Lorencin, Mia, Luksic, Ivica, Mamic, Matija, Espinsa, Norberto Miranda, Cruz, Ailén Sánchez, Antoniou, Stavros A., Kakas, Michael, Panayiotou, Yiannis, Almezghwi, Heyam, Arslan, Kalbim, Besim, Hasan, Özant, Ali, Özçay, Necdet, Kokkinos, Georgios, Papatheodorou, Panayiotis, Pozotou, Ioanna, Stavrinidou, Olga, Yiallourou, Anneza, Burda, Lukáš, Dosoudil, Michal, Martinek, Lubomir, Gawel, Wladyslaw B., Lerch, Milan, Peteja, Matúš, Žatecký, Jan, Daniel, Toman, Formánek, Martin, Javurkova, Veronika, Kepičová, Markéta, Macečková, Nicole, Matousek, Petr, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Černý, Jan, Khan, Sami, Lischke, Robert, Přibyl, Martin, Younus, Temoore, Amarasena, Yenuksha, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Harbjerg, Julie Lykke, Hviid, Louise, Kristensen, Helle ø, Mekhael, Mira, Nielsen, Mette Fugleberg, Paulsen, Laerke, Sinimäki, Saija, Mogensen, Louise Zinck, Bonde, Peter, Ebbehøj, Anders Lyng, Fenger, Anne‐sophie, Haugstvedt, Aleksander Fjeld, Hansen, Christine Hangaard, Jönsson, Maria Lovisa, Jorgensen, Lars N, Krarup, Peter‐martin, Lihn, Anne‐louise, Meyhoff, Christian, Otte, Helena, Amar, Anas Ould Si, Palm, Henrik, Schlesinger, Nis, Smith, Henry, Tryggedsson, Ida, Axelsen, Anne Reiss, Bælum, Jens Kristian, Ellebaek, Mark Bremholm, Ellebæk, Signe Bremholm, Hogh, Anders, Acosta, Maria, Acosta, Yancy, Baez, Pedro, Betances, Luis Alfredo, Bonilla, Luis Rodolfo, Cabreja, Daniel, Cruz, Wilton Cabrera, Expósito, María Mabel Collado, Crespo, Aldo, Cruz‐pineda, Octavio, D’óleo García, Claudio Samuel, Díaz, Pedro, Escoto, Remberto, Figueroa, Jatnna, Garcia, Luis, Rodriguez, U Garcia‐Dubus, Gomez, Humberto, Grullon, Adrian, Guerrero, Fatherin, Guzman, Lillian, Mosquea, Thelma Rocío Jiménez, Lazala, Engels, Lopez, Ariela, Francisco, Leeany Maletta, Mercado, Jhomayri, Munoz, Herisardy, Paulino, Jeffrey, Fernandez, Maricely Ambar Perez, Reyes, Rudeily, Guilamo, Lilia Rosa Reyes, Rivas, Ruben, Torres, Claudia Alejandra Rivas, Rodríguez, Ada, Villa, Madelin Tamar Rosario, Santana, Eleazar, Soto, Joel, Tactuk, Nassin, Sardiñas, Cristina Kristel Tonos, Ubinas, Raul, Victoria, Jose, Villegas, Aaron, Acra‐tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Blaubach, Alejandro, Mejía, Denisse Idalia Campos, Capellan, Nathalia, Bruzual, María Fernanda Cedeño, Spencer, Saray Cordero, Lantigua, Gabriella Cuevas, De Jesus, Luis, Díaz, Gabriela, Vásquez, Pedro Pablo Díaz, Disla, Karla, Uceta, Jesús Antonio Echavarría, Jimenez, Paola Irina Eusebio, Fernandez, Damaris, Camilo, Marlin Fernandez, Germosen, Jiomar Manuel Figueroa, Fortunato, Maruel, Fernández, Leyla Gabriel, Dihmes, Alicia German, Herrera, Héctor, Cuevas, Elizabeth Leon, Mata, Jose Alejandro, De La Cruz, Mirian Mateo, De la Cruz, Dolores Mejia, Mirambeaux, Marcos, De La Cruz, Fabio Ortiz, Paulino, Henry, Pelletier, Gabriela, Pichardo, Merycarla, Enrique, Rodriguez Pumarol Próspero, Rivas, Julio, Marmolejos, Ann Stephany Sanchez, Santana, Roman Santana, Almanzar, Irina Suero, Sánchez, María Magdalena Vásquez, Campuzano, Nicolás, Ocampo, José Ricardo Negrete, Armas, Maria, Guerra, Alvaro Santiago LeMarie, Vizcaya, Gustavo León, Abdelwahab, Omar Ahmed, Elmehrath, Ahmed O., Mostafa, Mohammed Ezzat, Amira, Gamal, Sallam, Ibrahim, Sherief, Mohamed, Abdelmajeed, Ahmed, Abdou, Mostafa, Shanab, Ahmed Abo, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Bakr, Amna Abou, Aboubakr, Samar, Abouelnagah, Yossof, Aboumadawy, Omar, Adel, Dina, Afifi, Nermeen, Ahmed, Sara, Ahmed, Abedelrahman, Sayed, Mohamed AL, Alberkamy, Abdelrahman, Aldahma, Mohamed, Ali, Ahmed, Ali, Mostafa, Bakr, Mohamed Amin, Anter, Alaa, Asal, Doaa, Ashoush, Fouad, Ashraf, Olfat, Ashraf, Abdel Rahman, Atta, Rewan, Badr, Salma, Bahaaeldin, Mohamed, Bastawesy, Mostafa, Darwish, Sara, El Kharashy, Rasha, Elassar, Ziad, Elbadawy, Seifeldin, Elkhity, Dina, Elsaka, Alromisaa, Elsayed, Manal, Hewalla, Mostafa Elsayed Elsayed, Elshafey, Mohamed, Eshac, Youssof, Eshac, Fares, Essameldin, Amr, Ewedah, Moataz, Ezz, Yara, Farag, Mohamed, Gadelkarim, Inas, Gadelrab, Ziyad, Gamal, Dina, Ghaly, Mira, Girgis, Nathalie, Gouda, Omar, El Goweini, Nancy H., Hafez, Nour, Hafez, Youssef, Abdin, Abdelkader Hamed, Hanno, Rodina, Hassanin, Aliaa, Hassanin, Mohamed, Hemead, Hanan M., Hemida, Abdelrahman, Hosain, Maher, Hossam, Ahmed, Aly, Hamza Hussein Aly Salama, Ibrahim, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Hamouda, Noha Mohamed Salah Ibrahim Moussa, Iskander, Monica, Khalifa, Islam, Kotb, Mostafa, Mahmoud, Nada, Shabana, Alaa Mahmoud Abo, Mamdouh, Nora, Metwalli, Maram, Metwally, Khaled, Moghazy, Mahmoud, Mohamed, Moustafa, Mourad, Mohamed, Moustafa, Esraa, Mubarek, Kamilia, Nader, Nour Eldin, Nasser, Ahmed, Omar, Samaa, Qatora, Mostafa Shehata, Ragab, Mohamed, Ragal, Marawan, Ramadan, Dina, Ramadan, Rana, Ramadan, Sara, Romany, John, Sabry, Ahmed, Said, Yasmeen, Salamah, Sara, Saleh, Ahmed Mostafa, Elkaffas, Mona Saleh Mesbah Mohamed, Salem, Alaa, Salim, Hashem, Samih, Ahmed, Abdelaal, Ahmed Samir, Shaheen, Ahmed, Mohammed, Yassmeen Sharafeldin, Shehata, Abdelrahman, Shemeis, Mohamed, Shenit, Karim, Sheta, Mennatallah, Soffar, Asmaa, Tanas, Yousef, Tarek, Ahmed, Yehia, Nermin, Eid, Omar Khaled Mohamed, Abdulfattah, Ammar Yasser, Elsaghir, Ahmed, Elganainy, Mohamed Fouad, Elsayed, Omar Ibrahim, Elmandouh, Omar, Hamam, Omar, Shehata, Mostafa Ahmed, Abdelaziz, Areej A., Abbas, Ahmed M., El‐ghani, Wael Abd, Abd Elazeem, Hossam Aldein S., Elsayed, Mustafa Abd, Abd‐elkariem, Ahmed Yassien, Abdalla, Shimaa, Abdel‐aleem, Mahmoud, Abdelazeem, Khaled, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abdelraouf, Ali, Abdullaha, Lamess, Abubeih, Hossam, Ahmed, Moaiad Eldin, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Saad, Sarah Ahmed, Alaa, Sherif, Alhussaini, Ali, Ali, Abdelrahman Ahmed Abdelrahman, Ali, Ibrahim, Ali, Wagdi, Mohamed, Mohamed Ali, Ashraf, Mohamed, Bassiouni, Muhammad, El‐adawy, Mohamed G., El‐sharkawi, Mohammad, Elkhayat, Hussein, Elmaghraby, Khaled, Elsdfy, Shady, Elsharkawy, Mohamed, Eltayeb, Almoutaz, Mohamed, Mohamed Esmat, Essam, Esraa, Fahd, Mahmoud, Farouk, Osama, Gadelkareem, Rabea, Ghoneim, Ahmed, Takrouney, Mohammed Hamada, Hamdan, Ahmed, Hamed, Abd El‐Rahman, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Hawal, Islam, Henes, Kerollos, Herdan, Mohamed Omar, Hetta, Helal F., Ibrahem, Omar, Ibrahim, Mostafa, Ibrahim, Islam H., Kamel, Mahmoud, Khallaf, Mohamed, Elghazaly, Shrouk M., Mahfouz, Abobakr, Mahmoud, Osman, Mahran, Wesam, Mahrous, Doha, Marsis, Abadeer, Mohamed, Ayman, Hussein, Aliae Mohamed, Sayed, Amr Mohamed, Mohammed, Mahmoud M, Mokhtar, Ahmed, Monib, Fatma A., Nageeb, Ahmed, Nageh, Mariam Albatoul, Nageh, Mohammed, Omar, Nehal Gamal, Ragab, Abdelrahman, Ramadan, Abdelrahman, Temerik, Abdallah Rashad, Sabry, Aya, Safwat, Hadeer, Salah, Omar, Mahmoud, Ahmed Elhussiny Salah, Saleh, Ahmed, Sallam, Mahmoud, Samir, Ahmed, Sayad, Reem, Sayed, Esraa, Sedik, Ahmed S., Shahine, Mohammed, Soliman, Antonios, Soliman, Wael, Taher, Mohamed Gamal, Wanees, Randa, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Elabedeen, Omar Zein, Hassan, Ahmed Emad Sayed, Fattah, Shrouk Abdel, Abostate, Ahmed, Ali, Samar, Salama, Saad Ali Saad, Allam, Mohamed, Alsadek, Ahmed, Arafa, Ebrahim, Barakat, Ahmed, El Sherpiny, Mohammed, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Eltregy, Sherif, Hamdy, Mahmoud, Hassan, Gehad, Khalifa, Aya, Mahmoud, Ahmed, Altukhy, Ahmed Mohamed, Noah, Kareem, Noureldin, Yasser, Nowar, Mostafa, Saad, Moustafa, Elsaeidy, Ahmed Saad, Elsaeidy, Khaled Saad, Sabry, Hesham, Sameh, Mostafa, Said‐elnaby, Ahmed Tarek, Zahed, Mohamed, Zahran, Mohamed, Zaid, Abdelrahman, Zoghary, Ahmed Zaki, Atef, Mohamed, Mohamed, Ahmed, Youssef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, Alazab, Emad, Awad, Ahmed K., Darwesh, Amr, El Fiky, Lobna, Elgarhy, Ibrahim, Nassef, Mohamed Adel, Shaban, Mahmoud, Shalaby, Mahmoud Mohamed Mohamed, Wahba, Abdelrahman, Fouad, Omar Youssif Omar, Elsadek, Menan, Gad, Dalia, Abdelsamed, Ahmed, Bayomy, Abdulhakeem, Elsalhy, Mohamed, Fahim, Ahmed, Seleim, Ahmed, Afifi, Eman, Gamal, Fatma Alzahraa, Gamal, Mennatullah, Eldesouky, Omnia, Eldwini, Mohamed Hatem Elmetwalli Eldwini, Fahmy, Mostafa Medhat Fahmy, Hussein, Ahmed, Ouf, Abdallah, Sami, Omar, Shaat, Salem, Bahi, Abdullah Wael Mostafa Khalil, Atea, Abdurhman, Gamal, Ibrahim, El Kassas, Mohamed, Omar, Wael, Tawheed, Ahmed, Al‐oribi, Saeid, Aly, Nuran Khaled, Elfiky, Mahmoud, Elmaghraby, Alaa Eldine, Elrahmany, Abdulrahman, Elsherbeeny, Motaz, Helmy, Youssef, Nabil, Ahmed, Farahat, Ahmed Samir, Soliman, Mostafa, Wassef, Amr, Abdelrahman, Abdelrahman, Elsaban, Seif, Ghaly, Galal, Hamdy, Rana, Mondy, Hamada, Abdallah, Lubna, Darwish, Abdelrhman KZ, Rabea, Mohamed, Azab, Mohammed A, Abbas, Alzhraa Salah, El‐deeb, Marwa, Fawzy, Mohamed, Ibraheem, Maher, Bakry, Abdelrahman, Elnems, Sarah, Elsheikh, Randa, Gbreel, Mohamed Ibrahim, Hafez, Mahmoud, Jammal, Mohamed, Hamam, Khaled M, Makram, Abdelrahman M, Makram, Omar Mohamed, Rabie, Salma, Askalany, Sherine Yousery, Abushanab, Mokhtar Mohamed Ibrahim, Eid, Abdulrahman, El Ghalid, Mohammed Refaat Ibrahiem Amin, Abdelaty, Ahmed Adel, Fayad, Elsayed A., Radwan, Asmaa, Sallam, Moataz, Shokry, Ahmad, Farouk, Ahmed Mohamed, Elfallal, Ahmed, Elfeki, Hossam, Elsaeed, Mohamed, Elsaid, Mahmoud, Makroum, Amany, Elsaid, Dina Mohamed, Mostafa, Mohamed, Omar, Mohamed W, Rezk, Mohamed, Sakr, Ahmed, Sanad, Aly, Shalaby, Mostafa, Shawqy, Mohammed, Shetiwy, Mohamed, Shoma, Ashraf, Tawakl, Noura, Yunes, Asmaa, Abouzid, Amr, Atallah, Khalid, Elmorsi, Rami, Elsherbini, Ahmed, Gaballa, Khaled, Hamdy, Omar, Hamdy, Mohamed, Metwally, Islam Hany, Refky, Basel, Shetiwy, Mosab, Zuhdy, Mohammed, Zahran, Mohammed A, Abdellah, Fatima, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Al‐shazly, Mohammed Hamdy, Ali, Mohamed, Allam, Abdallah R, Aposaeeda, Aya, Asfour, Mohammed, Ayman, Ammar, Omran, Abdelrahman Azzam, Daghash, Ibrahim Tawfiq, Ebada, Mahmoud Ahmed, Eid, Taher, El Kelany, Ahmed, El Shemy, Esraa, El‐hag‐aly, Mohammed, Elgamal, Omar, Elghoury, Mahmoud, Elkased, Ahmed Farag, Ellakwa, Takwa Hamed, Ellakwa, Hamed, Elmeanawy, Amr, Elnoamany, Salma, Elsabagh, Alaa, Elsawey, Abdelrahman, Elshabrawy, Enas, Elshakhs, Seliman, Elsoudy, Naira, Ezzat, Esraa, Fawzy, Ahmed, Gamal, Abrar, Gameel, Ahmed, Gharbia, Khaled, Ghonaim, Mohamed, Ghonaim, Alaa, Hafez, Ahmed, Hafez, Abdelrahman, Ismail, Zainab, Khaled, Mohamed, Meselhy, Mohammed, Mikhail, Pola, Mohamed, Mervat, Mougahed, Mohamed, Mustafa, Abdulla, Nada, Ahmed, Omran, Janna, Ebiad, Mohamed S., Saleh, Ibrahiem, Salem, Nourhan, Salem, Osama, Selim, Salma, Shalaby, Ghada, Sherif, Hoda, Soltan, Hatem, Wahbah, Mahmoud, Abdelbary, Eman Zakaria, Zayan, Ahmad Helmy, Afify, Abdelrahman, Hadiya, Hossam Ali, Elshref, Mohamed Jamal, Ahmed, Mostafa Mohamed, Nasser, Nourhan, Abdeldayem, Hesham, Salama, Ibrahim Abdelkader, Ammar, Khaled, Ayoub, Islam, Aziz, Amr, Badawy, Mohammad Taha, Balabel, Mohamed, Fayed, Yahya, Gad, Emad Hamdy, Gomaha, Maher, Hammad, Essam, Hegazy, Osama, Hegazy, Elsayed, Ibrahim, Tarek, Kallaf, Mostafa, Macshut, Mahmoud, Magdy, Ammar, Oteem, Ahmed, Sallam, Ahmed, Samaan, Samy, Sharshar, Mohamed, Shoreem, Hany, Soliman, Elsayed, Soliman, Hossam Eldeen, Yassein, Taha, Zakaria, Hazem, Eldaly, Abdullah, Mashaly, Sarah, Abd‐elsalam, Sherief, Abdel‐elsalam, Wafaa, Shaalah, Ahmed Abdullah, Elbahnasawy, Mohamed, Elhalaby, Ismael, Hamada, Mohamed, Soliman, Sarah Hamdy, Hawila, Ahmed, Morsy, Mohamed Sherif, Naieem, Mohmed, Nasreddin, Mohammed, Salman, Samar, Sarsik, Sameh, Shabana, Ahmed, Tolba, Engy, Zagho, Mohamed, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abdurehman, Oumer, Admasu, Azarias, Berhea, Ataklitie, Eado, Yegeremu, Hailu, Nebiyou, Kidane, Meklit, Mohammed, Abdurezak, Mohammed, Khalid, Tibelt, Admasu, Woldemariam, Mersha Abebe, Yonael, Lydya, Alemu, Megersa, Aklilu, Abenezer Tirsit, Asele, Frehun, Assefa, Solomon, Azmach, Dawit, Bekele, Philimon, Mamo, Mickyas, Maru, Nahom, Mekuria, Haile, Menkir, Abel, Mikru, Filagot, Siraw, Eyerusalem, Suga, Hilkiah, Sumoro, Natnael, Teka, Aklilu, Thomas, Efeson, Woldemariam, Dereje, Wubishet, Estifanos, Abebe, Engida, Abebe, Kirubel, Asfaw, Fitsum, Bergene, Eyerusalem, Eshete, Mahder, Gebrehiwot, Fitsum Gebreegziabher, Gedefaw, Yetsedaw, Mengesha, Mulualem Wondafrash, Mengiste, Netsanet, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Tedla, Yonatan, Teklu, Daniel, Teshome, Henok, Tirfe, Leake, Tsegabrhan, Sahle, Tsehaye, Milkias, Worku, Bereket, Molla, Million, Supha, Melka, Taye, Tewodros, Abebe, Nebyou, Alemu, Berhanu, Chanie, Abera, Degefu, Hailegebriel, Desalegn, Dawit, Gebre, Hiwot, Hussen, Husnia, Kassa, Dawit, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Negash, Samuel, Sahlu, Abat, Tiruneh, Abraham Genetu, Wolde, Amanuel, Woldeselassie, Hanna Getachew, Ahmed, Mnewer Y., Zewdneh, Betelhem, Fentaw, Jibril, Salia, Shemsedin, Tabore, Ketema, Gurara, Addisalem, Abreha, Tassew, Abrha, Teklebirhan, Beyene, Gaym, Hailu, Niguse, Weldu, Mulu Atsbaha, Abdissa, Desalegn, Tesfaw, Mequannet, Wolle, Melatework, Asmamaw, Dawit, Assefa, Biniam Zemedu, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Melkamu, Solomon, Mengesha, Workineh, Shumye, Getachew, Tagele, Gashaye, Tesfa, Abrham Amare, Workneh, Wubshet, Genetu, Sileshi, Mebratu, Eneyew, Chanyalew, Lidya, Deresse, Tilahun, Girma, Adissu, Seid, Marta, Shimelash, Dagim, Shitaw, Abrham, Ayalew, Tewabe, Diress, Tesfaye, Kassahun, Berhanu, Kassaye, Bersabeh, Mulugeta, Esubalew, Tesfaw, Getasew, Yimenu, Beminet, Benecha, Semir, Aman, Mudesir, Ibrahim, Adem, Mekete, Alem, Tesemma, Abdi, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Ahmedin, Mahlet, Assefa, Yared, Ayde, Fitsum, Berhe, Alazar, Gebremeskel, Zersenay, Siyoum, Eneyew Getachew, Teresa, Sintayehu, Wude, Zinaye, Yemer, Fasika, Yohannes, Dagnachew, Zeleke, Ewunetu, Zerihun, Gulilat, Degefe, Derje Worku, Derilo, Hankore Tamirat, Eliyas, Nebiyu, Bayissa, Firew, Deressa, Yadani, Gemechu, Lidya, Gurmu, Tegenu, Kasaye, Ashenafi, Melese, Lemi, Muleta, Lemesa, Mulugeta, Gersam, Taye, Seifu, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Gebreagziabher, Haile, Mhreteab, Kassa, Haftamu, Saddik, Mohammed, Mengist, Alemneh, Heikkinen, Juuso, Helminen, Olli, Huhta, Heikki, Kotkavaara, Tommi, Mosorin, Matti‐aleksi, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Sova, Henri, Tastula, Mikko, Virta, Ville P, Bettoni, Jérémie, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Breheret, Renaud, Fouquet, Olivier, Gueutier, Alexandre, Henric, Nicolas, Kahn, Alexis, Kün‐darbois, Jean‐daniel, Moukoko, Didier, Pineau, Anna, Podevin, Guillaume, Schmitt, Françoise, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Marie‐macron, Lysa, Doussot, Alexandre, Ahmed, Omar, Alnajjar, Louy, Mis, Tommaso Cipolat, Fliss, Souha, Giocanti‐auregan, Audrey, Gregory, Thomas, Guiraudet, Patrice, Le Fouler, Adrien, Martinod, Emmanuel, Onorati, Ilaria, Peretti, Marine, Quilichini, Julien, Radu, Dana, Trésallet, Tresallet, Andro, Christophe, Maffert, Alexis, Chapman, Tracy, Halden, Maxime, Fayon, Julie, Mattevi, Catherine, Marion, Herjean, Bendjemar, Lynda, Lionel, Charre, Mikhael, Elie, Macías, Rosa Montero, Villefranque, Vincent, Volpin, Enrico, Trilling, Bertrand, Boleslawski, Emmanuel, Constance, Houlzé‐laroye, Drubay, Vincent, El Amrani, Mehdi, Eveno, Clarisse, Lecolle, Katia, Martin, Louis, Noiret, Barbara, Piessen, Guillaume, Truant, Stephanie, Zerbib, Philippe, Aubry, Estelle, Denimal, Franck, Lamblin, Antoine, Barrat, Benjamin, Caire, François, Christou, Niki, Fourcade, Laurent, Laloze, Jerome, Bouv‐hez, Margaux Mekann, Salle, Henri, Taibi, Abdelkader, Tricard, Jeremy, Usseglio, Julie, Chopinet, Sophie, Gregoire, Emilie, Delpont, Marion, Blanchard, Claire, Crenn, Vincent, Vergie, Stéphane, Denis, Waast, Fragnaud, Henri, Regenet, Nicolas, Rigaud, Jerome, Varenne, Yoann, Anract, Philippe, Barat, Maxime, Biau, David, Dautry, Raphaël, Dohan, Anthony, Idier, Louis, Lang, Elena, Thouny, Camille, Tzedakis, Stylianos, Audenet, François, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Clermidi, Pauline, Langlais, Tristan, Leonelli, Lorenzo, Maisonneuve, Emeline, Nicolas, Beaud, Perrot, Ophelie, Prost, Doriane, Thomin, Anne, Thouement, Thouement, Athiel, Yoann, Berry, Richard, Boddaert, Guillaume, Bonnet, Stéphane, Cathala, Nathalie, Conso, Christel, Denet, Christine, Laforest, Anaïs, Levy‐zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Scamporlino, Adriana, Zadegan, Frederic, Amine, Chamakhi Ahmed, Baratte, Baratte, Chartier‐kastler, Emmanuel, Chereau, Nathalie, Colas, Pierre‐antoine, Duquesne, Igor, Genser, Laurent, Petit, Gaëlle Godiris, Goumard, Claire, Hasani, Ariola, Lim, Chetana, Martellotto, Sophie, Melot, Charlotte, Menegaux, Fabrice, Pinar, Ugo, Pocard, Marc, Roupret, Morgan, Scatton, Olivier, Seisen, Thomas, Séverine, Noullet, Turco, Célia, Chouillard, Elie, Beganton, Paul, Frasca, Denis, Kerforne, Thomas, Corbiere, Lisa, Gasmi, Anis, Ghemame, Marwane, Guérin, Sonia, Khene, Zine‐eddine, Livin, Marie, Mahmoud, Fedy, Maillot, Betty, Merdrignac, Aude, Mouriaux, Frederic, Robin, Fabien, Sulpice, Laurent, Vazeux, Charles, Bertheuil, Nicolas, Bonneau, Soline, Cazemajou, Clément Thierry, Cousin, Ianis, Defert, Coralie, Fustec, Elisa, Juricic, Melodie, Lavoue, Vincent, Mevel, Gwenaël, Timoh, Krystel Nyangoh, Renault, Annaëlle, Violas, Philippe, Schwarz, Lilian, Tuech, Jean Jacques, Morichau‐beauchant, Tristan, Sauvat, Frederique, Haddad, Elie, Vermersch, Sophie, Patrizi, Andrea, Roux, Alexia, Aimé, Adeline, Malgras, Brice, Cherkaoui, Zineb, D’Urso, Antonio, Felli, Emanuele, Gonzalez, Cristians Alejandro, Ignat, Mihaela, Mutter, Didier, Pessaux, Patrick, Vix, Michel, Gornes, Hugo, Vergriete, Kélig, Berthoumieu, Pierre, Genre, Ludivine, Le Gall, Hélène, Pierre, Trocard, Chalhoub, Marc, Del, Mathilde, Martinez, Alejandra, Fuchs‐buder, Thomas, Vancon, Antoine, Faya, Camara Abraham, Asaph, Elvam, Baruwa, Elisee, Hofman, Gwen, Machemedze, Solomon, Idiata, Michael Mayombo, Muhemi, Roger, Ndizeye, Olivier, Nkunzimana, Elysé, O’Connor, Jennifer, O’Connor, Zachary, Tchoba, Simplice, Boumas, Natacha, Devidze, Grigol, Pisarevi, Givi, Baumgarten, Sabine, Grüßer, Linda, Hölzle, Frank, Kowark, Pascal, Kowark, Ana, Rossaint, Rolf, Schäfer, Benedikt, Wallqvist, Julia, Winnand, Philipp, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Edlinger, Florian, Goßlau, Yvonne, Hyhlik‐duerr, Alexander, Maksymiw, Florian, Shiban, Ehab, Sommer, Florian, Sommer, Björn, Zerwes, Sebastian, Beyer, Katharina, Lauscher, Johannes Christian, Lee, Lucas D., Loch, Florian N, Schineis, Christian, Aghalarov, Ilgar, Belyaev, Orlin, Braumann, Chris, Enste, Annika, Fahlbusch, Tim, Herzog, Torsten, Horn, Julian, Jedanowski, Julia, Knipschild, Julia, Luu, Andreas Minh, Mohan, Prem Vignesh, Siemen, Leonie, Slobodkin, Illya, Strotmann, Johanna Josefine, Uhl, Waldemar, Wolf, Katerina, Coburn, Mark, Egger, Eva, Eichhorn, Klaus, Enderes, Jana, Far, Frederick, Franzen, Alina, Güresir, Erdem, Hadjiathanasiou, Alexis, Kalff, Jörg C., Kohistani, Zaki, Manekeller, Steffen, Mustea, Alexander, Probst, Chris, Randau, Thomas, Recker, Florian, Schuss, Patrick, Straßberger‐nerschbach, Nadine, Strieth, Sebastian, Treede, Hendrik, Beekum, Cornelius J., Vatter, Hartmut, Velten, Markus, Vilz, Tim O., Wirtz, Dieter, Wittmann, Maria, Behr, Michael, Bulian, Dirk Rolf, Marche, Benedikt, Moczko, Tobias, Otchwemah, Robin, Schulz, Sissy‐amelie, Thomaidis, Panagiotis, Bruns, Christiane, Cursiefen, Claus, Domröse, Christian, Fuchs, Hans, Heindl, Ludwig Maximilian, Mallmann, Michael R., Mallmann, Christoph, Ratiu, Dominik Alexander, Canzler, Ulrich, Distler, Marius, Korn, Sandra, Meisel, Cornelia, Meusel, Marcus, Petzold, Andrea, Praetorius, Christian, Renesse, Janusz, Weitz, Juergen, Wimberger, Pauline, Alkhanji, Nour, Fung, Stephen, Jaber, Kefah, Knoefel, Wolfram Trudo, Vay, Christian, Clonda, Octavian, Cottin, Tatiana, Juodiene, Evelina, Juodis, Domantas, Petrovic, Biljana, Solodarenko, Oleksandra, Binder, Johannes, Grützmann, Robert, Hackner, Danilo, Junker, Stefanie, Arsalan, Mani, Banek, Severine, Chun, Felix, Faqar‐uz‐zaman, Sara Fatima, Keese, Daniel, Kluth, Luis, Rolle, Udo, Van Linden, Arnaud, Walther, Thomas, Bayer, Jörg, Beck, Jürgen, Fung, Christian, Kraus, Luisa Mona, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schnell, Oliver, Schulte, Antonia, Strähle, Jakob, Jarmusch, Stefanie, Novotny, Helmut Franz Georg, Becker, Johannes, Fulghum, Christian, Gonschor, Bernhard, Herbolzheimer, Marit, Nicolaiciuc, Sina, Trulson, Alexander, Vogelsang, Holger, Zimmermann, Benno, Akbari, Amir Ali, Boening, Andreas, Edinger, Fabian, Hecker, Matthias, Knitschke, Michael, Koch, Christian, Reichert, Martin, Schmidt, Götz, Schneck, Emmanuel, Uhl, Eberhard, Nóbrega, Silvia Flachs, Kauffmann, Philipp, Miller, Clemens, Nemeth, Marcus, Sievers, Denise, Kisser, Ulrich, Kleeff, Jorg, Klose, Johannes, Lorenz, Kerstin, Papendick, Nancy, Plontke, Stefan, Seiwerth, Ingmar, Steer, Susanne, Thomssen, Christoph, Ukkat, Jörg, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Hanke, John, Klauke, Friederike, Leuschner, Sebastian, Mendel, Thomas, Müller, Katharina, Schmidt, Birte, Schreiter, Valentin, Stosberg, Peter, Vinz, Franziska, Herbig, Beate, Sander, Johannes, Schulte, Thilo Maria, Betz, Christian Stephan, Bewarder, Julian, Bier, Johannes, Böttcher, Arne, Burg, Simon, Busch, Chia‐jung, Bußmann, Lara, Gosau, Martin, Heuer, Annika, Izbicki, Jakob, Klatte, Till Orla, König, Daniela, Köpke, Leon‐gordian, Moeckelmann, Nikolaus, Praetorius, Mark, Priemel, Matthias, Stadlhofer, Rupert, Stangenberg, Martin, Uzunoglu, Faik G., Wittig, Lukas, Zech, Henrike, Zeller, Nina, Roux, Frederic, Spaeth, Tsiona, Fricker, Roland, Müller, Thomas, Schröder, Lars, Alasmari, Mohammed, Boeker, Clara, Hakami, Ibrahim Abdullah, Mall, Julian W, Kyritsis, Ioannis, Graeb, Christian, Huber‐strößner, Kristin, Branzan, Daniela, Doss, Markus, Gockel, Ines, Jödicke, Carolin, Osterhoff, Georg, Pempe, Christina, Sucher, Robert, Adler, Tina, Kelly, Kathrin, Merkle, Janica, Siebert, Julia, Hirche, Christoph, Kneser, Ulrich, Tapking, Christian, Agrawal, Rachit, Qureischie, Homeira, Croner, Roland, Koslowski, Lisa, Krause, Hardy, Meyer, Frank, Turial, Salmai, Al‐nawas, Bilal, Battista, Marco Johannes, Goedeke, Jan, Hasenburg, Annette, Heider, Julia, Mueller, Lena Katharina, Zeller, Simon, Jentschura, Sina Louisa Patrizia, Kowalewski, Karl‐friedrich, Kriegmair, Maximilian, Männle, David, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Kirschniak, Andreas, Rolinger, Jens, Wilhelm, Peter, Bader, Franz G., Ottl, Stephanie, Behr, Alexandra Viktoria, Diamantis, Alexandros, Fichter, Andreas, Grill, Florian, Heck, Matthias, Jira, Daniel, Kallmayer, Michael, Koll, Florestan, Luhne, Stefan, Meyer, Bernhard, Patachia, Robert, Pergolini, Ilaria, Safi, Seyer, Schäffer, Christoph, Schirren, Moritz, Wegmann, Helmut, Wirth, Markus, Zhu, Zhaojun, Aghamaliyev, Ughur, Almaghrabi, Mahmoud, Böcker, Wolfgang, Bruder, Jan, Frank, Konstantin, Herterich, Viktoria, Huber, Verena, Ilmer, Matthias, Kammerlander, Christian, Neuerburg, Carl, Ehrlich‐treuenstätt, Viktor H., Werner, Jens, Börner, Nikolaus, Fegg, Florian, Hartmann, Daniela, Ladurner, Roland, Liokatis, Paris, Patzer, Kathrin, Schlager, Justin Gabriel, Smolka, Wenko, Zimmermann, Petra, Hatz, Rudolf, Steinhart, Diana, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Steiner, Martin, Hölz, Katharina, Knorr, Christian, Kuehlmann, Britta, Oikonomou, Kyriakos, Prantl, Lukas, Flurschütz, Roland, Honarpisheh, Human, Kröger, Marie, Lepiorz, Dominic, Luths, Charlotte, Niemeier, Andreas, Sras, Yara, Strate, Tim, Winter, Thore, Freiman, Thomas, Gessler, Florian, Won, Sae‐yeon, Widyaningsih, Rizky, Hoffmann, Sebastian, Schäfer, Ruth Christine, Thiel, Johannes Tobias, Bertolani, Elisa, Steidle, Christoph, Überrück, Lisa, Yurttas, Can, Ziegler, Patrick, Zimmermann, Alexander, Bolenz, Christian, Dayan, Davut, Greve, Jens, Hoffmann, Thomas K., Janni, Wolfgang, Löbig, Niklas, Schochter, Fabienne, Vahl, Julius Malte, Wezel, Felix, Greif, Veronika, Schmidbauer, Stefan, Marsch, Imke, Schneider, Rolf, Boenicke, Lars, Degener, Stephan, Dreger, Nici Markus, Horstmeier, Franz Christian, Kruschwitz, Jakob, Rombach, Adrian, Schmidt, Nele, Seiberth, Rose, Singh, Jaswinder, Smit, Marieke, Rundstedt, Friedrich‐carl, Zirngibl, Hubert, Diessner, Joachim, Friedrich, Sabine, Germer, Christoph‐thomas, Helmer, Philipp, Herrmann, Johannes, Kranke, Peter, Kübler, Hubert, Lock, Johan, Lotz, Christopher, Meffert, Rainer, Meybohm, Patrick, Müller, Sophie, Notz, Quirin, Popp, Maria, Schlegel, Nicolas, Schlesinger, Tobias, Schmid, Benedikt, Sitter, Magdalena, Steinisch, Andreas, Treutlein, Agnes, Berg, Anne, Wurmb, Thomas Erik, Agyeman‐duah, Nana Kwaku, Appiah, Enoch, Armah, Ralph, Asare, Christopher, Awere‐kyere, Lawrence, Daary, Dennis, Gakpetor, Delali, Allah, Stephen Minlah, Obbeng, Ambe, Osei‐poku, Dorcas, Puozaa, Diana, Tackie, Enoch, Adu‐aryee, Nii Armah, Agboadoh, Nelson, Asare, Offei, Bowan, Antoinette Bediako, Brown, George Darko, Clegg‐lamptey, Joe‐nat, Dedey, Florence, Dery, Cedric, Fenu, Benjamin Sena, Harrison, Marian Abedua, Kumassah, Philemon, Kuuzie, Ekins, Nsaful, Josephine, Olayiwola, David Olatayo, Smith, Cecilia, Banka, Charles, Hussey, Romeo, Azize, Diallo Abdoul, Aniakwo, Luke Adagrah, Adofo‐asamoah, Yvonne, Agbeno, Evans Kofi, Agyapong, Meshach Manu, Agyen, Thomas, Mensah, Kwasi Agyen, Alhassan, Baba Alhaji Bin, Amoako‐boateng, Mabel, Appiah‐thompson, Peter, Gyimah, Nita Asamoa‐Manu, Asante‐bremang, Moses, Asante‐asamani, Alvin, Atawurah, Henry, Appiah, Anthony Baffour, Baidoo, Richard Ogirma, Baidoo, Ebikela Ivie, Boakye, Benedict, Boateng, Abigail, Dadoe, Dora, Dayie, Makafui Seth Caleb‐Joshua Kwasi, Debrah, Samuel, Doku, Kingsley, Enti, Enti, Ken‐amoah, Sebastian, Koggoh, Patience, Kpangkpari, Richard, Maison, Patrick, Mensah, Samuel, Mensah, Philip, Mensah, Teresa Aba, Morna, Martin Tangnaa, Nimako‐mensah, Jilac, Nkrumah, John, Nortey, Michael, Ofori, Emmaunel Owusu, Opandoh, Isabella Naa Morkor, Osei‐tutu, Ethel, Adae, Jefferson Owusu, Quansah, Kofi, Quartson, Elizabeth, Rahman, Ganiyu Adebisi, Walawah, David, Yigah, Makafui, Yussif, Safia, Jiagge, Nuna, Nachelleh, Emmanuel, Acquaye, Jane, Agbedinu, Kwabena, Agyei, Fareeda, Agyemang‐prempeh, Akosua, Amo‐antwi, Kwabena, Amoah, Michael, Amoah, George, Amoako, Yaw A, Aning, Daniel Gyawu, Ankobea‐kokroe, Frank, Mintah, Dominic Annor, Anyitey‐kokor, David, Appiah‐kubi, Adu, Arthur, Joshua, Ativor, Vincent, Barnor, Isaac, Braimah, Yasmine, Darko‐asante, Regina, Davor, Anthony, Issahalq, Mohammed Duah, Dzogbefia, Mawutor, Emile, Tano, Fiifi‐yankson, Papa, Gaveh, Valerie, Gudugbe, Senyo, Gyabaah, Solomon, Gyamfi, Frank Enoch, Gyedu, Adam, Gyimah, Derrick, Hammond, Bernard, Jonathan, Boakye‐yiadom, Joseph, Yorke, Konney, Thomas Okpoti, Konney, Anna, Kusi, Kwasi, Kyei, Ishmael, Lovi, Agbenya, Naabo, Nuhu, Nimako, Boateng, Nyadu, Beauty, Nyarko, Obed Ofori, Ofosu‐barko, Ben Blay, Oppong, Philip Peprah, Osabutey, Anita, Poku, Martha, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abass, Adam, Abdul‐mumin, Alhassan, Adjeso, Theophilus, Alatiiga, John Abanga, Amadu, Munira, Annan, Nathaniel, Leal, German Azahares, Bukari, Mohammed, Buunaaim, Alexis, Cheyuo, Ernest, Salifu, Latif Daboo, Damah, Michael, Dery, Malcolm, Dzantor, Edem Kojo, Garcia, Odoniel Guerra, Baba, Yabasin Iddrisu, Issaka, Adamu, Muntaka, Abdul‐Jalilu Mohammed, Murphy, James, Agyeman, Yaa Nyarko, Amankwaa, Wisdom Opoku, Osman, Imoro, Pie, Samuel, Seidu, Anwar Sadat, Sheriff, Mohammed, Charadan, Ana Maria Simono, Titigah, Abraham, Yahaya, Mundashiru, Yakubu, Musah, Yenli, Edwin Mwintiereh Ta‐ang, Grypiotis, Ioannis, Kiriakopoulos, Nikolaos, Koliopoulos, Georgios, Kyvelos, Vasilis, Micha, Georgia, Papadopoulou, Triada, Balalis, Dimitrios, Fradelos, Evangelos, Korkolis, Dimitrios, Alexakis, Nicholas, Angelou, Kyveli, Haidopoulos, Dimitrios, Prodromidou, Anastasia, Rodolakis, Alexandros, Thomakos, Nikolaos, Psychogios, Dimitris, Antonakis, Pantelis, Bramis, Konstantinos, Chardalias, Leonidas, Contis, Ioannis, Dafnios, Nikos, Dellaportas, Dionysios, Dimitra, Papalouka, Fragkoulidis, Georgios, Gkiokas, Georgios, Gklavas, Antonios, Hadjizacharias, Theodoros, Karageorgou, Dimitra, Konstadoulakis, Manousos, Kontopoulou, Christina, Massaras, Dimitrios, Memos, Nikolaos, Papaconstantinou, Ioannis, Politis, Dimitrios, Polydorou, Andreas, Stamatis, Konstantinos, Theodosopoulos, Theodosios, Vezakis, Antonios, Avgerinos, Konstantinos, Katunin, Jevgeni, Kechagias, Aristotelis, Kelgiorgi, Dionysia, Kritikos, Neoklis, Pengermä, Pasi, Bisdas, Theodosios, Ioannidis, Argyrios, Konstantinidis, Michael, Konstantinidou, Sofia, Patelis, Nikolaos, Antonopoulou, Maria Ioanna, Deskou, Eirini, Kalles, Vasileios, Manatakis, Dimitrios K., Stamos, Nikolaos, Tasis, Nikolaos, Arkadopoulos, Nikolaos, Danias, Nikolaos, Economopoulou, Panagiota, Frountzas, Maximos, Kokoropoulos, Panagiotis, Michalopoulos, Nikolaos, Selmani, Jonida, Sidiropoulos, Theodoros, Vassiliu, Panteleimon, Paraskevas, Kosmas I., Bartziotas, Dimitrios, Bouchagier, Konstantinos, Galanis, Ilias, Kalamatianos, Theodosis, Kapiris, Stylianos, Kolinioti, Angeliki, Mavrodimitraki, Eleni, Metaxas, Panagiotis, Nikova, Alexandrina, Psarologos, Michail, Sotiropoulou, Maria, Stranjalis, George, Albanopoulos, Konstantinos, Kondilis, Panagiotis, Vrakopoulou, Gavriella Zoi, Chrysovergis, Aristeidis, Chrysovitsiotis, Georgios, Giotakis, Evangelos, Kanellopoulou, Vasiliki, Kyrodimos, Efthymios, Larentzakis, Andreas, Pantos, Pavlos, Papanikolaou, Vasileios, Potamianos, Spyridon, Theodoropoulos, Charalampos, Triantafyllou, Alexandra, Triantafyllou, Tania, Georgousi, Kleoniki, Panagiotou, Peter, Avramidis, Emmanouil, Babis, George, Zafeiris, Evangelos, Antoniou, Afroditi, Bessias, Nikolaos, Maras, Dimitris, Papas, Theofanis, Roditis, Konstantinos, Tsagkos, Ioannis, Tsiantoula, Paraskevi, Alexandrou, Andreas, Baili, Efstratia, Charalabopoulos, Alexandros, Dimitroulis, Dimitrios, Dorovinis, Panagiotis, Garoufalia, Zoe, Kanavidis, Prodromos, Karavokyros, Ioannis, Karydakis, Lysandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Nikiteas, Nikolaos, Papalampros, Alexandros, Schizas, Dimitrios, Skotsimara, Antonia, Stamopoulos, Paraskevas, Syllaios, Athanasios, Terras, Alexis, Tomara, Nefeli, Tsourouflis, Gerasimos, Vagios, Ilias, Zografos, Constantinos, Apostolou, Konstantinos, Georgopoulos, Nikolaos, Antoniou, Theofani, Antzaka, Christina, Falara, Areti, Fragoulis, Socrates, Ftikos, Panagiotis, Matsouka, Fedra, Perreas, Konstantinos, Rellia, Panagiota, Samara, Evangelia, Smirli, Anna, Tasouli, Androniki, Thanopoulos, Apostolos, Chalkias, Petros Loukas, Dedemadi, Georgia, Mourmouris, Panagiotis, Skolarikos, Andreas, Theochari, Nikoletta, Tzelves, Lazaros, Gaitanakis, Stylianos, Milas, Theodoros, Theodorakis, Emmanuel, Karona, Paraskevi, Kastanaki, Pagona, Tzouganakis, Angelos, Agalianos, Christos, Tsouknidas, Ioannis, Xenakis, Andreas, Chrysos, Emmanuel, Lasithiotakis, Konstantinos, Nikolouzakis, Taxiarchis, Xenaki, Sofia, Xynos, Evangelos, Lostoridis, Eftychios, Nagorni, Eleni‐aikaterini, Pujante, Antonio, Tourountzi, Paraskevi, Aggeliki, Al, Baxevanidou, Kyriaki, Bouliaris, Konstantinos, Efthimiou, Matheos, Kalfountzos, Christos, Koukoulis, Georgios, Lachanas, Vasileios, Petropoulos, Konstantinos, Tsitiridis, Ioannis, Angelis, Fragkiskos, Arnaoutoglou, Eleni, Baloyiannis, Ioannis, Bareka, Metaxia, Bouronikou, Anna, Christodoulidis, Gregory, Daponte, Alexandros, Fergadi, Maria, Gkolias, Nick, Gkrinia, Eleni, Hajiioannou, Jiannis, Kalogritsas, Nikos, Karoni, Eleni, Korais, Christos, Krestinidis, Giorgos, Ktisti, Antigoni, Magouliotis, Dimitrios, Maiou, Charikleia, Malizos, Konstantinos, Minasidou, Maria, Ntalouka, Maria, Ntziovara, Anna Maria, Palla, Effrosyni, Perivoliotis, Konstantinos, Saini, Fani, Samara, Athina, Saratziotis, Athanasios, Skoulakis, Charalampos, Solomi, Efthymios, Stamoulis, Konstantinos, Terzoudis, Christos Dimitrios, Tsironi, Evangelia, Tzovaras, George, Vallianou, Kyriaki, Zacharoulis, Dimitris, Ziogkou, Anna, Δακής, Κωνσταντί__ς, Elias, Liolis, Maroulis, Ioannis, Mulita, Francesk, Plachouri, Kerasia‐maria, Vailas, Michail, Doitsidis, Charalampos, Filo, Eva, Gkalonaki, Ioanna, Kogia, Eleni, Kontopoulou, Konstantina, Mitroudi, Magdalini, Panteli, Christina, Patoulias, Ioannis, Semkoglou, Olga Ioulia, Sfoungaris, Dimitrios, Valioulis, Ioannis, υτσ_υ μης, Γι ωργος, Astreidis, Ioannis, Christidis, Panagiotis, Ioannidis, Orestis, Loutzidou, Lydia, Mantevas, Antonis, Paraskevopoulos, Konstantinos, Tatsis, Dimitris, Athanasiadis, Apostolos, Dagklis, Themistoklis, Kalogiannidis, Ioannis, Kapetanios, Georgios, Mamopoulos, Apostolos, Margioula‐siarkou, Chrysoula, Petousis, Stamatios, Tsakiridis, Ioannis, Anthoulakis, Christos, Christou, Chrysanthos, Fantakis, Antonios, Iordanidou, Eirini, Kaselas, Christos, Panagiotidou, Sousana, Papadopoulos, Vasileios, Papavasiliou, Kyriakos, Piachas, Athanasios, Siasios, Ioannis, Spyridakis, Ioannis, Theodoridis, Theodoros, Tooulias, Andreas, Tsiridis, Eleftherios, Tsopozidi, Maria, Alemán, María, Brolo, Estuardo, Lemus, Ana Lucia, Greenberg, Jennifer, Chew, Krisna Mishel Morales, Oliva, José Rodrigo, Lima, María Alejandra De León, Muralles, Ismar Lopez, Solares, Felipe, Ajcip, Gaby, Anton, Claudia, Cojulun, Jose, Flores, Mario‐andrés, José, Noriega, Paiz, Carlos Adolfo Marroquín, Morales, Steffanía, Najera, Ramiro, Lorenzana, Eduardo Quiñónez, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Ybarra, Natalia, Cajti, José David Pérez, Régil, Carlos, Osorio, Walter A, Arriola, Rember Rosales, Talé‐rosales, Luis‐fernando, Herrera, Danilo, Rodríguez, Servio Tulio Torres, Villeda, Sergio Alejandro, Anicetti, Joshua, Medina, Andrea Michelle Lowey, Ardebol, Javier, Barillas, Kathia, De Leon, Francis, Recinos, Salvador, Marroquin‐alpirez, Miguel‐angel, Yax, Yessica, Hon, Sophie, Liu, Yuk Ho, Liu, Alex Qinyang, Liu, Shirley, Chiu, Hei Tung Natalie, Chow, Chi Man Tom, Hau, Victor, Ho Wai, Ip, Mak, Brian, Mok, Chung Ying, Dennis, Ng, Siu, Yin Yu Eva, Wong, Kiu Fung, Jingya Jane, Pu, Yu‐xiong, Su, Au‐yeung, Kit Ying, Chan, David Yuen Chung, Chan, Albert, Chan, Shannon Melissa, Chang, Tsz Ching, Chiu, Tor Wo, Chiu, Wang Kei, Zhexi, He, Man Fung, Ho, Kevin Ki Wai, Ho, Jacky Yan Kit, Ho, Kung, Janet Wui Cheung, Lam, Cheuk Ho, Lau, Rainbow W. H., Ling, Samuel Ka Kin, Lok, Hon Ting, Mak, Tony Wing Chung, Chi‐fai, Ng, Simon, Ng, Kelvin Kwok‐Chai, Ng, Calvin S. 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M. M. 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Priyadarshini, Suganya, S, Samuel, Habie, Samuel, Gilbert, Selvaraj, Daniel, Sharma, Srujan, Surendran, Suraj, Hariharan, T D, Thangaraj, Santhosh Kumar, Thomas, Vinotha, Thomas, Varghese, Thomas, John K, Harish, Y S, Boggavarapu, Manobhiram, Voonna, Murali Krishna, Lolobali, Marilaeta Cindryani, Ryalino, Christopher, Senapathi, Tjokorda Gde Agung, Tjokorda, Mahadewa, Widnyana, I Made Gede, Aditianingsih, Dita, Auerkari, Aino, Chandra, Susilo, Damara, Fachreza Aryo, Dilmy, Mohammad Adya Firmansha, Harzif, Achmad Kemal, Manggala, Sidharta Kusuma, Pratama, Dedy, Priyambodo, Affan, Ramlan, Andi Ade, Soenarto, Ratna Farida, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Tantri, Aida Rosita, Zahra, Raihanita, Fachrian, Dedy, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Pajan, Hendra, Amrullah, Ahmad Hannan, Anam, Khoirul, Hadipranata, Thirza, Sugianto, Julius Albert, Fitrisyah, Aidyl, Lestari, Mayang Indah, Lubis, Nur Rachmat, Zainal, Rizal, 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Ahmad, Gatot, Inbar, Gavriel, Haim, Gold‐deutch, Ruthie, Haim, Nadav, Hammerschlag, Jonathan, Hershkovitz, Yehuda, Jaber, Ahmad, Kenoshi, Adi, Lavy, Ron, Majadla, Omar, Muallem‐kalmovich, Limor, Nativ, Hilli, Rabin, Igor, Sandler, Yael, Zmora, Osnat, Bala, Miklosh, Demma, Yonatan Avraham, Fishman, Yuri, Marom, Gad, Avni, Naor, Carmel, Ofra, Farkas, Amicur, Freund, Michael Ron, Gonen, Lior, Gozal, Yaacov, Greenman, Dmitry, Kocherov, Stanislav, Margalit, Nevo, Shick, Orit Nahtomi, Ostrovsky, Israel Alexander, Pardes, Rivka, Perets, Michal, Shahar, Tal, Shapiro, Henry, Tankel, James, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Balercia, Paolo, Catarzi, Lisa, Consorti, Giuseppe, Cianci, Pasquale, Gattulli, Domenico, Minafra, Marina, Restini, Enrico, Andolfi, Enrico, Annino, Filippo, Barbara, Frezza, Biancafarina, Alessia, Bussolin, Edoardo, De Prizio, Marco, Gjondedaj, Ulpjana, Gubbiotti, Marilena, Mura, Gianni, Pellicano, Giuseppe Antonino, Pirola, Giacomo Maria, Sulce, Rezart, Martines, Gennaro, Papagni, Vincenzo, Picciariello, Arcangelo, Magnone, Stefano, Pisano, Michele, Poiasina, Elia, Alberici, Laura, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Bernante, Paolo, Bertoglio, Pietro, Bianchi, Lorenzo, Bisulli, Maria, Bonfanti, Barbara, Boussedra, Safia, Brandolini, Jury, Cacciapuoti, Crescenzo, Cardelli, Stefano, Casadei, Riccardo, Cescon, Matteo, Cipolli, Alessandro, Cipriani, Riccardo, Contu, Luca, Costa, Francesco, Daddi, Niccolo, De Crescenzo, Eugenia, De Iaco, Pierandrea, De Palma, Alessandra, Del Gaudio, Massimo, Gatta, Anna Nunzia Della, Dolci, Giampiero, Dondi, Giulia, Droghetti, Matteo, Parri, Sergio Nicola Forti, Garelli, Elena, Gelati, Chiara, Germinario, Giuliana, Giorgini, Federico A., Ingaldi, Carlo, Jovine, Elio, Kawamukai, Kenji, Lanci, Antonio Lanci, Lombardi, Raffaele, Miralles, Maria Elisa Lozano, Marchetti, Claudio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Parlanti, Daniele, Pellegrini, Alice, Perrone, Anna Myriam, Pezzuto, Anna Paola, Pignatti, Marco, Pilu, Gianluigi, Pinto, Valentina, Poggioli, Gilberto, Puglisi, Silvana Bernadetta, Raimondo, Diego, Ravaioli, Matteo, Ricci, Claudio, Ricciardi, Sara, Ricotta, Francesco, Rizzo, Roberta, Romano, Angela, Rottoli, Matteo, Schiavina, Riccardo, Seracchioli, Renato, Serenari, Matteo, Serra, Margherita, Solli, Piergiorgio, Sorbi, Gioia, Taffurelli, Mario, Tanzanu, Marta, Tarsitano, Achille, Tesei, Marco, Vago, Gabriele, Violante, Tommaso, Zanotti, Simone, Aspide, Raffaele, Bertolini, Giacomo, Bortolotti, Carlo, Carretta, Alessandro, Caruso, Ambra, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Mazzatenta, Diego, Pirina, Alessandro, Rosetti, Vittoria, Sturiale, Carmelo, Vincenzi, Matteo, Zoli, Matteo, Castagnini, Francesco, Donati, Davide Maria, Frisoni, Tommaso, Lucchini, Stefano, Palmerini, Emanuela, Traina, Francesco, Baietti, Anna Maria, Berselli, Bruno, Bolognesi, Silvia, Fabbri, Erich, Farnia, Francesco, Maremonti, Pietro, Marganella, Concetta, Pasquini, Ernesto, Piserchia, Vito Antonio, Prucher, Gian Marco, Razzaboni, Alessandra, Ricci, Silvia, Sollini, Giacomo, Testoni, Caterina, Hilal, Mohammed Abu, Graaf, Nine, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Cagnazzi, Elena, D’Alessio, Rossella, Doglietto, Francesco, Ferrari, Federico, Fontanella, Marco, Igor, Batog, Molfino, Sarah, Odicino, Franco, Panciani, Pier Paolo, Saraceno, Giorgio, Sartori, Enrico, Zanin, Luca, Esposito, Giuseppe, Frongia, Federica, Pisanu, Adolfo, Podda, Mauro, Cillara, Nicola, Putzu, Alessandro Cannavera, Sechi, Raffaele, Abate, Emmanuele, Casati, Massimiliano, Laface, Letizia, Schiavo, Marcello, Marino, Fabio, Perrone, Fabrizio, Annicchiarico, Paolo, Cappellani, Alessandro, Cavallo, Matteo, Giaquinta, Alessia, Gioco, Rossella, Veroux, Massimiliano, Veroux, Pierfrancesco, Zanghì, Antonino, Cianci, Antonio, Giudice, Arturo Lo, Matarazzo, Maria Grazia, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, Carpino, Antonio, Cristofaro, Maria Giulia, De Paola, Gilda, Giannaccare, Giuseppe, Novembre, Daniela, Sammarco, Giuseppe, Scorcia, Vincenzo, Angeli Christy, Yu, D’Andrea, Marcello, Mongardi, Lorenzo, Tosatto, Luigino, Barone, Mirko, Mucilli, Felice, Muraglia, Angelo, Caserini, Ottavia, Giuliani, Domenico Benvenuto, Monti, Marco, Morello, Alessia, Segalini, Edoardo, Borghi, Felice, Cianflocca, Desiree, Daniele, Alberto, Donati, Danilo, Gelarda, Enrico, Giraudo, Giorgio, Giuffrida, Maria Carmela, Marano, Alessandra, Olearo, Elena, Ciarello, Vincenzo Pruiti, Puppo, Andrea, Testa, Valentina, Giacometti, Marco, Zonta, Sandro, Monti, Eleonora, Porta, Andrea, Sambucci, Daniele, Birindelli, Arianna, Carrara, Barbara, Compagnoni, Bruno, Del Giudice, Roberto, Dester, Sara Elisabetta, Lomiento, Daniele, Ruggiero, Silvia, Taglietti, Lucio, Viotti, Fabio, Lacavalla, Domenico, Occhionorelli, Savino, Rubbini, Michele, Bernabei, Massimiliano, Fabbri, Nicolò, Fazzin, Marta, Feo, Carlo V., Torchiaro, Marco, Costi, Renato, Virgilio, Edoardo, Arlia, Lorenzo, Barbato, Giuseppe, Bartolini, Ilenia, Bottari, Andrea, Bruno, Chiara, Bruscino, Alessandro, Checcucci, Carlotta, Cianchi, Fabio, Coratti, Francesco, De Vincenti, Rosita, Di Bella, Annamaria, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Gigliucci, Giacomo, Locatello, Luca Giovanni, Maltinti, Gherardo, Martellucci, Jacopo, Prosperi, Paolo, Ringressi, Maria Novella, Sorbi, Flavia, Staderini, Fabio, Taddei, Antonio, Anastasi, Alessandro, Canonico, Giuseppe, Chisci, Emiliano, Gabellini, Linda, Masciello, Fabrizio, Michelagnoli, Stefano, Nelli, Tommaso, Tirloni, Luca, Alemanno, Giovanni, Arminio, Armando, Beck, Renata, Bergamini, Carlo, Cotoia, Antonella, Lizzi, Vincenzo, Maccagnano, Giuseppe, Pesce, Vito, Sarni, Antonio Luciano, Tartaglia, Nicola, Vovola, Fernanda, Avanzolini, Andrea, Bocchino, Antonio, Bova, Raffaele, Cavaliere, Davide, D’Acapito, Fabrizio, Ercolani, 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Antonino Francesco, Mazzeo, Carmelo, Bertoglio, Camillo Leonardo, De Martini, Paolo, Ferrari, Giovanni, Giani, Alessandro, Lombardi, Pietro Maria, Mazzola, Michele, Baldari, Ludovica, Bissacco, Daniele, Boni, Luigi, Cassinotti, Elisa, Domanin, Maurizio, Pignataro, Lorenzo, Torretta, Sara, Trimarchi, Santi, Armellin, Daniele, Basato, Silvia, Bernardi, Laura, Bunino, Francesca, Capretti, Giovanni, Carrano, Francesco Maria, Castoro, Carlo, Colombo, Giovanni, Costantino, Andrea, De Lucia, Francesca, De Virgilio, Armando, Di Bari, Matteo, Ferreli, Fabio, Gaino, Francesca, Gramellini, Marco, La Raja, Carlotta, Malvezzi, Luca, Marano, Salvatore, Mercante, Giuseppe, Milana, Flavio, Nappo, Gennaro, Peros, Georgios, Pirola, Francesca, Rossi, Vanessa, Russo, Elena, Spriano, Giuseppe, Tamburello, Sara, Zerbi, Alessandro, Aiolfi, Alberto, Bona, Davide, Sozzi, Andrea, Adamoli, Laura, Ansarin, Mohssen, Bertolaccini, Luca, Cenciarelli, Sabine, Chu, Francesco, De Berardinis, Rita, Romario, Uberto 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Fusini, Federico, Gattolin, Andrea, Migliore, Marco, Rimonda, Roberto, Sasia, Diego, Travaglio, Elisabetta, Brunetti, Federica, Cereda, Marco, Ceresoli, Marco, Cigagna, Luca, Dell’Oro, Cristina, Fogliati, Alessandro, Fruscio, Robert, Grassi, Tommaso, Isabella, Maini Marzia, Nespoli, Luca Carlo, Oldani, Massimo, Ornaghi, Sara, Tamini, Nicolò, Antropoli, Carmine, Castaldi, Antonio, Palumbo, Alessio, Altieri, Gaia, Bracale, Umberto, Corcione, Francesco, De Luca, Marcello, De Palma, Giovanni Domenico, Di NUZZO, Maria Michela, Lionetti, Ruggero, Bue, Dalila Loredana Lo, Luglio, Gaetano, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, Tropeano, Francesca Paola, Aversano, Alessia, Belli, Andrea, D’Amico, Maria, Delrio, Paolo, Izzo, Francesco, Patrone, Renato, Rega, Daniela, Maida, Pietro, Marra, Ester, Marte, Gianpaolo, Tufo, Andrea, Bianco, Francesco, Cappiello, Antonio, Gili, Simona, Incollingo, Paola, Novi, Alessandra, Bagaglini, Giulia, Iovino, Claudio, Tasselli, Francesco Menegon, 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Andreani, Lorenzo, Antonio, Darienzo, Aprile, Vittorio, Balestri, Riccardo, Benettini, Giacomo, Berrettini, Stefano, Bruschini, Luca, Chiarugi, Massimo, Coccolini, Federico, Colangeli, Simone, Cremonini, Camilla, Mencacci, Lodovica Cristofani, Dallan, Iacopo, De Santi, Silvia, Di Franco, Gregorio, Di Girolami, Lorena, Fiacchini, Giacomo, Furbetta, Niccolò, Korasidis, Stylianos, Lucchi, Marco, Morandi, Andrea, Morelli, Luca, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Porcelli, Francesco, Puccini, Marco, Roffi, Nicolo, Statuti, Erica, Tartaglia, Dario, Tonelli, Alberto, Vianini, Matteo, Baronio, Gianluca, Montuori, Mauro, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Maffeis, Federica, Ubiali, Paolo, Aguzzoli, Lorenzo, Coiro, Saverio, Falco, Giuseppe, Mandato, Vincenzo Dario, Mastrofilippo, Valentina, Mele, Simone, Baldi, Caterina, Corbellini, Carlo, Sampietro, Gianluca Matteo, Dugo, Massimo, Garino, Mauro, Marafante, Chiara, Masciandaro, Antonio, 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Persiani, Roberto, Puccioni, Caterina, Ratto, Carlo, Rosa, Fausto, Saponaro, Gianmarco, Scardina, Lorenzo, Silvia, Tedesco, Tropeano, Giuseppe, Benevolo, Maria, Bugada, Daniele, Campo, Flaminia, Dona, Maria Gabriella, Manciocco, Valentina, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Pellini, Raul, Petruzzi, Gerardo, Pichi, Barbara, Simone, Giuseppe, Tuderti, Gabriele, Zocchi, Jacopo, Cosentino, Luigi Marino, Sagnotta, Andrea, Angelico, Roberta, Bellato, Vittoria, Campanelli, Michela, Franceschilli, Marzia, Grande, Michele, Lisi, Giorgio, Manzia, Tommaso Maria, Petagna, Lorenzo, Sensi, Bruno, Sica, Giuseppe, Siragusa, Leandro, Tisone, Giuseppe, Assenza, Marco, Binda, Barbara, Biondi, Massimo, Brachini, Gioia, Bruzzaniti, Placido, Casagrande, Mauro, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, Crocetti, Daniele, D’Ambrosio, Giancarlo, D’Andrea, Vito, De Felice, Francesca, De Toma, Giorgio, Rocca, Carlo Della, Duranti, Giulia, Familiari, Pietro, Fiori, Enrico, Fonsi, Giovanni Battista, Frati, Alessandro, La Rocca, Stefania, La Torre, Filippo, Lapolla, Pierfrancesco, Marruzzo, Giovanni, Meneghini, Simona, Mingoli, Andrea, Picchetto, Andrea, Polimeni, Antonella, Ribuffo, Diego, Salvati, Maurizio, Santoro, Antonio, Sapienza, Paolo, Simonelli, Luigi, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, D’Annunzio, Simone, De Nunzio, Cosimo, Fiorelli, Silvia, Ibrahim, Mohsen, Loffredo, Chiara, Massullo, Domenico, Menna, Cecilia, Monica, Rocco, Pelli, Massimiliano, Rendina, Erino Angelo, Teodonio, Leonardo, Tubaro, Andrea, Argenio, Giulio, Accarino, Giulio, Giancarlo, Accarino, Giordano, Antonio Nicola, Cardinali, Luca, Sebastiani, Elisa, Travaglini, Grazia, Andreatta, Erika, Asti, Emanuele Luigi Giuseppe, Bernardi, Daniele, Bonavina, Luigi, Froiio, Caterina, Lovece, Andrea, Copelli, Chiara, Manfuso, Alfonso, Di Maio, Pasquale, Giudice, Marco, Iocca, Oreste, Cennamo, Rosario, Cornali, Tommaso, Di Marzo, Francesco, Altana, Cristian, Bussu, Francesco, Capobianco, Giampiero, Carta, Anna Giacomina, Ciccarello, Sandro, Cossu, Maria Laura, Cottu, Pietrina, De Riu, Giacomo, Dessole, Salvatore, Dessole, Francesco, Dettori, Salvatora, Doria, Carlo, Fancellu, Alessandro, Feo, Claudio F, Ginesu, Giorgio Carlo, Giuliani, Giuliana, Iannuccelli, Marco Giuseppe, Madonia, Massimo, Mancino, Roberto, Massarelli, Olindo, Meloni, Gianfranco, Milia, Fabio, Mulliri, Andrea, Perra, Teresa, Petrillo, Marco, Piras, Antonio, Piredda, Franco, Pisanu, Francesco, Porcu, Alberto, Rizzo, Davide, Sanna, Angelino, Scanu, Antonio Mario, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Tedde, Alessandro, Tedde, Matteo, Vaira, Luigi Angelo, Pazzi, Andrea Bartalini Cinughi, Samorani, Osvaldo Carpineto, Fusario, Daniele, Marano, Luigi, Oldrà, Gaia, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Ricchiuti, Vincenzo, Roviello, Franco, Savelli, Vinno, Abrate, Alberto, Bordoni, Pierpaolo, Bosio, Lorenzo, 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Rinaldi, Mauro, Ruffini, Enrico, Salizzoni, Stefano, Bardelli, Laura, Berselli, Mattia, Borroni, Giacomo, Cocozza, Eugenio, Desio, Matteo, Elisa, Bottazzoli, Ietto, Giuseppe, Iori, Valentina, Iovino, Domenico, Livraghi, Lorenzo, Marchionini, Valentina, Megna, Stefano, Nahal, Emma Amal, Palumbo, Mara, Quintodei, Valeria, Zullo, Alessandra, D’Alimonte, Lucrezia, Pirozzolo, Giovanni, Vignotto, Chiara, Campagnaro, Tommaso, Caravati, Andrea, Conci, Simone, De Cristofaro, Carlotta, Gecchele, Gabriele, Giuliani, Tommaso, Graziosi, Jacopo, Guglielmi, Alfredo, Paiella, Salvatore, Pedrazzani, Corrado, Pollini, Tommaso, Rattizzato, Simone, Ruzzenente, Andrea, Salvia, Roberto, Turri, Giulia, Bacchion, Matilde, Butturini, Giovanni, Casaril, Andrea, Giardino, Alessandro, Impellizzeri, Harmony, Inama, Marco, Isabella, Frigerio, Moretto, Gianluigi, De Zuanni, Marco, Deiana, Enrica, Guglielmo, Mario, Broglia, Alessandro, Casarini, Claudia, Zingaretti, Caterina Costanza, Bonaldi, Marta, Cesana, Giovanni, Mastriale, Francesco, Olmi, Stefano, Fukami, Matteo Uccelli Yasuyuki, Saito, Takuya, Sano, Tsuyoshi, Hirai, Naoki, Hirota, Kazuyoshi, Kushikata, Tetsuya, Oyama, Tasuku, Saito, Junichi, Ishibashi, Katsuhiko, Kamiyama, Mizue, Son, Kyongsuk, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Aze, Chisaki, Deguchi, Yoshihiko, Hasegawa, Hirotoshi, Hoshino, Tatsuki, Innami, Yasushi, Inoue, Hiroyuki, Ito, Shingo, Nomura, Takeshi, Ogihara, Tomomi, Okada, Reina, Ouchi, Takashi, Sekiya, Yuri, Tachibana, Keikoku, Takano, Emi, Yamamoto, Masae, Matsuda, Shuko, Matsuki, Yuka, Shigemi, Kenji, Hiraki, Teruyuki, Inoue, Yui, Jotaki, Shosaburo, Abe, Tatsuro, Eto, Masatoshi, Inokuchi, Junichi, Kashiwagi, Eiji, Kinoshita, Fumio, Kobayashi, Satoshi, Lee, Ken, Matsumoto, Takashi, Monji, Keisuke, Naganuma, Hidekazu, Shiota, Masaki, Takeuchi, Ario, Obara, Shinju, Takatsuki, Saori, Tanaka, Saori, Iida, Koji, Kagawa, Kota, Neshige, Shuichiro, Chaki, Tomohiro, Hirata, Naoyuki, Kazuma, Satoshi, Kimizuka, Motonobu, Kumita, Sho, Nishihara, Noriaki, Satoshi, Sato, Sawada, Atsushi, Tachibana, Shunsuke, Yamakage, Michiaki, Nakamura, Yuta, Sato, Kozo, Irie, Tomoya, Irisawa, Tomoko, Kanemaru, Eiki, Koga, Yuko, Chiba, Yoshihiko, Makino, Jun, Ohama, Shinnosuke, Okada, Shinichiro, Teruaki, Kano, Kida, Tatsuya, Takei, Tomohide, Hanazaki, Kazuhiro, Kitagawa, Hiroyuki, Namikawa, Tsutomu, Mizota, Toshiyuki, Takeda, Chikashi, Yagi, Shintaro, Imai, Hiroshi, Ishitobi, Makoto, Kato, Manabu, Nishikawa, Kouhei, Sasaki, Takeshi, Yonekura, Hiroshi, Kanaya, Akihiro, Irimada, Daisuke, Ishikawa, Haruka, Kaiho, Yu, Ida, Mitsuru, Kawaguchi, Masahiko, Kawamura, Kenji, Ogawa, Munehiro, Okada, Hiroshi, Endo, Shunji, Fujiwara, Yoshinori, Higashida, Masaharu, Kubota, Hisako, Okada, Toshimasa, Tanaka, Hironori, Ueno, Tomio, Yoshimatsu, Kazuhiko, Kikukawa, Motohiro, Kuriyama, Akira, Matsushime, Susumu, Hidehiko, Hishikawa, Hino, Haruaki, Hisamatsu, Yoji, Kamiya, Akio, Kinoshita, Hidefumi, Kita, Masato, Kobayashi, Toshinori, Michiura, Taku, Miki, Hirokazu, Murakawa, Tomohiro, Okada, Hidetaka, Saito, Tomohito, Saito, Ryoichi, Sugi, Motohiko, Sumi, Genichiro, Yamaki, So, Yamamoto, Tomohisa, Yoshida, Aya, Kambara, Tatsuya, Kanematsu, Sayaka, Satoshi, Okazaki, Hijikawa, Takeshi, Kitade, Hiroaki, Yanagida, Hidesuke, Fujita, Tomoyuki, Fukushima, Satsuki, Tadokoro, Naoki, Furukawa, Taku, Iizuka, Yusuke, Otsuka, Yuji, Sanui, Masamitsu, Sawada, Ikumi, Iwahashi, Hideki, Miyamoto, Morikazu, Takano, Masashi, Mieda, Tsutomu, Ando, Chihiro, Isada, Tetsuro, Ishizaki, Taku, Amer, Qaed Bani, Ishida, Sachi, Kobayashi, Yasuma, Kuratani, Norifumi, Sakurai, Tomoe, Takada, Misa, Iba, Yutaka, Tsukagoshi, Junji, Yamada, Akira, Amano, Yuki, Fumoto, Kentaro, Noro, Shusaku, Fujimoto, Ayataka, Tomoto, Kyoichi, Okamura, Yukiyasu, Sugiura, Teiichi, Uesaka, Katshuhiko, Takemura, Natsuki, Kuroda, Kento, Hayashi, Megumi, Kaneko, Satoi, Kawagoe, Izumi, Kochiyama, Tsukasa, Yamaguchi, Ai, Abe, Nobutsugu, Ando, Tadao, Chinzei, Mieko, Hirano, Kouichi, Kobayashi, Yoichi, Matsuki, Ryota, Matsumoto, Hironori, Motoyasu, Akira, Nakazawa, Harumasa, Noguchi, Hikari, Okamura, Kaio, Ono, Motoaki, Seki, Hiroyuki, Sunami, Eiji, Tajima, Atsushi, Tanigaki, Shinji, Uzawa, Kohji, Watanabe, Hidenobu, Furuhata, Yukari, Toyama, Satoshi, Uchida, Tokujiro, Enomoto, Yutaka, Furukawa, Yuri, Hasumi, Yoko, Hirota, Jinso, Iida, Katsuyuki, Ikeda, Shingo, Ikeda, Tatsuhiko, Kawamata, Natsuko, Kawasaki, Yosuke, Koizumi, Minako, Kono, Yoshiharu, Kuzuhara, Shigeki, Maeda, Junichi, Moriyama, Mai, Nagamoto, Shoichi, Nakanishi, Rinako, Noda, Michio, Seichi, Atsushi, Takahashi, Shintaro, Takashi, Kobayashi, Takeda, Misuzu, Tanakura, Kenta, Terajima, Katsuyuki, Tsuji, Munechika, Ueshima, Chiharu, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Yuri, Sakoh, Iwata, Shintaro, Kawai, Akira, Osaki, Shuhei, Ishikawa, Masashi, Iwasaki, Masae, Morita, Tomonori, Hirooka, Reina, Nakata, Yoshinori, Sawamura, Shigehito, Ishida, Yusuke, Kawachi, Aya, Kobayashi, Takayuki, Nagashima, Fumiaki, Suzuki, Naoki, Ando, Kohei, Miyazawa, Noriko, Tanaka, Yukio, Abuissa, Khatab, Aljabali, Alaa, Almasri, Amal, Alrabadi, Mera, Alshara, Rana, Alzghoul, Yasmeen, Alzughoul, Ahmed, Freihat, Ali, Jeitan, Emran, Owais, Qais, Smadi, Aseel, Abukhadra, Mahmoud, Abunawas, Huthifa, Al‐azzam, Abdallah Ahmed Mezel, Aladaileh, Ammar, Albadawi, Ismail, Alhawatmeh, Mohammad, Alkhaza’Leh, Mohannad Yaser, Alneimat, Roaa Salem Jwaid, Alwahedy, Saba, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, El‐qawaqzeh, Khaled, Hrerat, Tarteel, Jaradat, Enas, Mubaydeen, Teeba, Sarayrah, Husam, Tarawneh, Mohammad Abdel Elah A., Karasneh, Mohammad Yousef, Zurgan, Amany, Alassaf, Mohammad, Alzraikat, Sayel H., Amarin, Justin Z., Hijjawi, Ahmed, Suradi, Haya H., Zaghlol, Louay Y., Abdalah, Ahmad, Abdallah, Ghaida, Tarieh, Ammar Abu, Abu‐libdeh, Tareq, Abualteen, Faisal, Al Abdallah, Murad, Al Bdour, Zakaria, Al Dahabrh, Seif, Al‐kasaji, Farah, Ali, Zaid Al‐sheikh, Al‐thaher, Mohammad, Alnajjar, Tareq, Alqedrh, Mohannad, Alsaleh, Mohammad, Alzaatreh, Mohammad, Amayreh, Ghandi, Ayasra, Yazeed, Eid, Ahmad, Ghayada, Ibrahim, Moh’d Ahmed Hasanein, Khaled, Hassouneh, Anas, Hijazeen, Raid, Hmeidan, Majedah, Khaled, Ahmed, Khasawneh, Barihan, Kifayeh, Omar, Lafi, Yasser, Seba, Jasem, Semrin, Qusai, Sma, Fda, Theab, Mohammad, Tumeh, Haitham, Zaid, Muna Aba, Abazeed, Alaa, Abbad, Bader, Abbadi, Osaid, Abu‐ishkerih, Nizar, Al‐osta, Malk, Al‐zyadat, Reham, Alawneh, Bashar Omar Falah, Alhattab, Majd, Alkurdieh, Mohd Mujahed, Awwad, Ziad, Hammouri, Mohammad, Hussein, Hamzeh, Khader, Sereen, Khalil, Mariam, Mansour, Omar, Othman, Ahmad, Qandeel, Haitham, Saleem, Mohammad, Souri, Fouad, Tahboub, Ahmad, Tayyem, Raed, Abdallah, Munir, Abdel‐hafez, Ibrahim, Obead, Hamza Abu, Abudari, Hadeel, Abuhamour, Ehab, Abusadah, Samer, Al‐azzeh, Nimer, Al‐adwan, Sofian, Al‐darabah, Ali, Al‐qannas, Mohammad, Albaba, Basil, Alradawneh, Qutaiba, Amaireh, Mohammad, Ashour, Subhi, Chabaan, Reem, Eskander, Ammar, Fawzi, Ahmad, Haij, Manal, Hamad, Hisham, Hamdan, Haya, Hamss, Ahmed, Hassouneh, Esraa, Hyasat, Ayah, Ibrahim, Zainab, Jamaliah, Saja, Khalil, Mohammed, Massad, Anas, Mohamed, Ishak, Qandeel, Mahmoud, Qasrawi, Dalia, Raggad, Mahmoud, Rifai, Ebaa, Semreen, Nedal, Shehada, Reham, Shorman, Marwan, Al‐shibi, Abdallah, Alsa’Afin, Shatha, Bani‐hani, Morad, Nimer, Bahaa, Nofal, Sandra, Qaraqe, Layth, Salameh, Mohammed, Saleh, Ma’Moun, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Yaghmour, Jamal, Zaza, Sabri, Alhindi, Rahaf, Baninasr, Eman, Al‐masri, Mahmoud, Al‐najjar, Hani, Alawneh, Fade, Al‐latayfeh, Motasem, Al‐shudifat, Abdel‐ellah, Ahmad, Abd Almonem Shaikh, Abdeljalil, Abdelkarim, Abdelrahman, Haneen, Abdulmalek, Abdulmalek, Abedalqader, Lina, Abed, Laith Abu, Al Smadi, Omar, Alarood, Salameh, Allouzi, Mohammad, Almansour, Maha, Almi’Ani, Sari, Alsaiad, Abdulhakim, Alshaikh, Khaled, Androus, Farah, Awbakh, Mirna, Azzam, Belal, Yasin, Hammam Bany, Daoud, Maher, Dawod, Lujain, Dawod, Omar, Elmusa, Reem, Fadli, Saba, Hammad, Farah, Hunaiti, Majd, Muhtaseb, Mahmoud, Owaimer, Rawan, Qulaghassi, Zaki, Romman, Saleh, Saket, Rawand, Sharawi, Said, Tawalbeh, Alaa, Al‐howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Za’Nouneh, Faris Jamal Abu, Al DHOUN, Sajedah, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al Shraideh, Ayah Ahmad, Al‐dabaa, Tawfik, Al‐jarrah, Salsabeel, Al‐jarrah, Hothaifa, Al‐othman, Hadeel, Alaradi, Zuhair, Alshannaq, Qutaiba, Alsulaiman, Rima, Alzaqh, Motasem, Alzu’Bi, Yazan, Audat, Ziad, Bahhour, Mohammad, Bdour, Saja, Khatatbeh, Roa, Marji, Fares, Mazahreh, Tagleb, Nail, Dina, Nuseir, Amjad, Rabab’Ah, Asmaa, Sawadi, Taher, Zidan, Ghina, Muhfouz, Dima Abu, Nael, Abdullah, Qasim, Ahmad, Al‐jarrah, Amar, Rawagah, Faisal, Abu Ismail, Dima Y, Al‐dolat, Wedad, Alzoubi, Mai, Alzoubi, Malak, Alzu’Bi, Mu’Taz, Asha, Ruba, Guboug, Ali, Hussein, Hasan, Rawashdeh, Shireen, Sanwar, Mohammad, Ababneh, Adnan, Abu‐eisheh, Basil, Alhami, Haneen Ahmad, Al Dwairi, Saif Aldeen, Al Shurman, Hana’, Al Yahya, Zakaria, Al‐atiyah, Hussam, Al‐balas, Hasan, Aljaiuossi, Anas, Alqawasmi, Shatha, Alqudah, Sadeel, Alshourman, Mahmoud, Hamad, Abdulsalam Bani, Issa, Anas Bany, Ennab, Raed, Hamdoni, Sara, Hijazi, Zaid, Khafaja, Ali, Mraiyan, Mohamed, Obeidat, Riyad, Olaywah, Dina, Qudah, Mohamad, Talal, Mhamdd, Aidarov, Askar, Sarmenova, Aisulu, Kodasbaev, Almat, Sakhov, Orazbek, Tanabayeva, Shynar, Amrayev, Sultan, Dzhumabekov, Berik, Malgazhdarov, Maulen, Tezekbaev, Kanat, Kukubassov, Yerlan, Satanova, Alima, Mwachiro, Michael, Parker, Robert, Simel, Ian, Mohammedali, Shamshuddin, Mwaria, Claude, Obure, Ralph, Shah, Sayed Shah Nur Hussein, Hirani, Chetan, Kibunyi, Muthoni, Mailu, Claire, Mwangi, Victor, Ogenya, Roy, Osea, Lydia, Cheruiyot, Davies, Hirsi, Omar, Muiru, Carolyne, Wanjara, Samuel, Kim, Chang Woo, Lee, Suk Hwan, Almulla, Ahmad, Dashti, Mustafa, Elghany, Omar, Sultan, Abdullah, Al‐mahmeed, Husain, Alabbad, Jasim, Albader, Ibtisam, Aldalal, Shuaib, Baba, Mahdi, Abdulsalam, Fareed, Alhajri, Naser, Alwael, Athari, Ayele, Brook, Marie, Hatem, Zaitoun, Ahmed, Alali, Ahmad M., Alkhamis, Ahmed, Alozairi, Ous, Almazeedi, Sulaiman, Alsabah, Salman, Abdelkarim, Mostafa, Al Rashed, Asmaa, Al Subaie, Saud, Al‐shaiji, Tariq, Al‐terki, Abdullatif, Alhunaidi, Omar, Aljewaied, Ali, Alzamel, Khaled, Farag, Ahmed, Hayati, Hussein, Termos, Salah, Wood, Sarah, Al‐gilani, Maha, Al‐sihan, Mutlaq, Alotaibi, Haifa, Lobovs, Dmitrijs, Pcolkins, Andrejs, Sivins, Armands, Apse, Ingus Arnolds, Berga, Annija Evelīna, Ivanova, Anna, Demicevs, Jevgenijs, Ivanovs, Igors, Kaminskis, Aleksejs, Opincans, Janis, Pāvulāns, Jānis, Rudzāts, Agris, Udre, Anna, Dbouk, Samer, Farfour, Imadeddine, Rakka, Mohamad, Antonios, Ingrid, El Hage, Joe, Hage, Stephanie, Haiby, Lea, Kahi, Hiba, Lichaa, Anthony, Moussa, Rita Milan, Salameh, Michel, Sarkis, Riad, Albaini, Obey, Haykal, Tony, Safadi, Bassem, Abou‐abbass, Hussein, Al Makari, Reem, Al Zein, Zeina, Baidoun, Mariam, Itani, Rania, Owiedat, Mustafa, Abdel Sater, Ali H., Akl, Michel, Badran, Nour, El Mustapha, Sara, Fatouh, Fathallah, Ghoussoub, Youssef, Saad, Nader, Serhan, Fatima, Souleiman, Bassem, Alame, Walid, Ghiya, Peter, Ibrahim, Firas, Abdallah, Rasha, Kassab, Mohamad B., Karout, Samar, Aya Abdul, Al, Chaaban, Hilal, Fakih, Ghinwa, Haj‐ibrahim, Huzifa, Awad, Rabih, El Assaad, Hadi, Alfeqeeh, Ahmed, Muftah, Hosam, Abdulrahman, Taha, Ahseen, Naeimah, Abunaaja, Hayat Omar, Abdulmalik, Abdulmuez, Al Gasi, Abd El Jawad, Alsaeiti, Sara, Elkhafeefi, Fatimah, Elrefai, Nasre, Ahmad, Rofida, Alhouni, Tarek, Alkarky, Safya, Alkeelani, Hana, Alkuwafi, Rauoof, Benhariz, Rema, Bettamer, Nagat, Busarira, Musa, Bushaala, Hassan, Diryaq, Tariq, Elbargathe, Osama, Eldarat, Tarik, Elfadli, Mustafa, Elfitori, Jamael, Elmahgoub, Asma, Elsahti, Reem, Hassan, Yosef, Hussain, Fathi, Mirsal, Taha, Mohammed, Marwa, Saad, Ebtesam, Hadad, Haifaa Il, Mosabha, Mostafa, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Hamed, Mona, Khel, Samer, Omar, Sana, Yousef, Rowaida, Abdelmalik, Abubaker, Abosnaina, Yahya, Abuhlaiga, Ma’Aly, Abushahma, Ahmed Omar, Aldelensi Alzubi, Alhosen Saleh M, Aljanfi, Asma, Alnehum, Mohamed Alnaser, Alzedam, Ahmad, Delhen, Malik, Maderi, Galia, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Jahan, Alhadi, Jahan, Abdussalam, Alazabi, Basma, Alezabi, Bahauldin, Alazabi, Mona Masaud Amro, Egdeer, Amin Salem Ahmed, Sefi, Fatma, Kamoka, Elhusain, Salamah, Abdulrauf, Abdalhadi, Alya, Abdeewi, Saedah, Alhadad, Marwah, Awrayit, Ahmed, Eshnaf, Mabroka, Yahmad, Mohammad, Abudher, Abdulhafid, Elamin, Faisl, Abojeila, Farah, Aliwa, Mohamed, Jouira, Rayet Al Islam Ben, Shagour, Sana, Altobal, Ahmed, Aljuroushi, Omar, Almadani, Hadeel, Attia, Hajer, Eljali, Amal Sharif, Emran, Ayyah, Omar, Mabruka, Salim, Radhwan, Samer, Ashraf, Abulshuwashi, Nayrouz Abdullah, Ben Khalifa, Emadeddin T M, Benabdalla, Hdaya Abdalla S, Elnageh, Hatem, Hammad, Ali, Abdullah, Duha Milad, Abusalem, Marwa, Esmael, Esraa Ben, Benmasoud, Fatma, Debri, Laila, Elmokhtar, Randa, Sheta, Manal Ezeddin Kamel, Elhabashi, Bushra Sayeh Mohamed, Younis, Balkees, Elmabrouk, Amna, Momen, Ahmed, Alzoubi, Abdalrahem Essied Alzubi, Ayad, Kusay, Hasan, Ameerah Mahdi Abraheem, Musrati, Fawzie, Abusannoga, Malek, Malek, Ans, Ajaj, Hatem, Abdulwahed, Eman, Aboubeirah, Mohammed, Alqurpaa, Aya, Alshareea, Entisar, Aribi, Sarra, Aribi, Tomather, Biala, Marwa, Ghamgh, Reem, Issa, Mohannned, Lamari, Amani Hamid, Mufth, Mohammed, Abboud, Omar Sudig, Hallalah, Muad Fathi Khalleefah Abu, Abumahara, Saleh, Aburima, Sarah, Adrees, Mohammed, Ahtash, Abdurahman, Al Shukri, Asmaa, Alameen, Hind, Alarabi, Rehab, Alarabi, Alarabi, Alelwany, Aisha, Alesmail, Abdulkarim, Algadi, Noran, Almaqrahi, Khuloud, Alosta, Hadel, Alsharedi, Mohamed, Bashir, Rasha, Ghrema, Mahmoud Ben, Nour, Sari Bin, Elbarouni, Sofian, Elhadi, Ahmed, Elkhadar, Abdulmohimen A, Elkouba, Esraa, Elmsherghi, Nabiha, Gammoudi, Abdulmohimen, Ghariba, Abdulraouf, Gjam, Fatima Zayed, Haidar, Arwa, Helal, Hala, Huwaysh, Mohammed, Alhadheeri, Ahmed Khalid, Kriem, Eslam, Osman, Halim, Ossman, Mohamed Ali, Shilfeet, Marwah, Turshani, Laila, Albishty, Nouran, Alhadi, Abdulmueti, Ali, Salem, Altoumi, Manal Ahmed, Bahroun, Sumayyah Ghayth, Younes, Eman, Atarabulsi, Hana, Elshaibi, Mohamed, Othman, Abdullmujeeb, Hasan, Hayat Ben, Hasan, Najat Shaban Ben, Hasan, Rabab Shaban Ben, Barauskas, Vidmantas, Dainius, Edvinas, Dambrauskas, Zilvinas, Dauksa, Albertas, Dekeryte, Inga, Gudaityte, Rita, Jasaitis, Kristijonas, Koženiauskaitė, Akvilė, Krasauskas, Virgilijus, Lukosiute‐urboniene, Ausra, Maleckas, Almantas, Riauka, Romualdas, Šlenfuktas, Vygintas, Svagzdys, Saulius, Urbonas, Kestutis, Vanagas, Tomas, Venclauskas, Linas, Venskutonis, Donatas, Zilinskas, Justas, Ambrazevicius, Marijus, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Eismontas, Vitalijus, Jurgaitis, Jonas, Mikutaitis, Vytenis, 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Ghauth, Sakina, Hung, Weipin, Jamaris, Suniza, Koh, Peng Soon, Krishnasamy, Sivakumar, Lee, Yeong Sing, Liew, Yew Toong, Lim, Jeffery Zk, Lim, Raymond Chung Siang, Lim, Hiong Chin, Pauzi, Siti Farhan Moh, Nah, Shireen Anne, Nair, Ashvin Krishna, Doris Sin Wen, Ng, Yong, Yuki Julius Ng We, Ramayah, Kamarajan, Saaid, Rahmah, Sanmugam, Anand, See, Mee Hoong, Seevalingam, Kanesh Kumaran, Sethi, Neha, Singaravel, Srihari, Zaidi, Syeda Nureena Syed Jafer Hussain, Tang, Chu Yik, Teoh, Li Ying, Wong, Kian Boon, Xavier, Ruben, Yahaya, Ahmad Shuib, Norhafiza, Ab, Rahman, Null, Islah Munjih, Ab, Rashid, Null, Aziz, Mohd Fahmi Abd, Rahman, Mohd Norhisham Azmi Abdul, Amjad, Nasser Muhammad, Alhadi, Shahidah Che, Elagili, Faisal, Kamarulzaman, Mohd Nazli, Nor, Azmi Md, Othman, Ahmad Faidzal, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ibrahim, Aini Fahriza, Ahmad, Abdul Rauf Bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Wong, Hui Yu, Zakaria, Jasiah, Aziz, Nor Azimah Abd, Rahim, Norazila Abdul, Rahman, Noorneza Abdul, Abdullah, Bahiyah, Sikkandar, Mohamed Faizal Bin, Firman, Fatin, Hazleigh, Nik Mohd, Kamarudin, Intan Kartika, Khalid, Shahril, Miswan, Mohd Fairudz Mohd, Zahid, Akmal Zulayla Mohd, Mustafa, Norasyikin, Obaid, Kadhim, Yahaya, Mohd Yusoff Bin Yahaya, Yusoff, Ahmad Ramzi, Andrejevic, Predrag, Myatt, Jeremy Borg, Brincat, Svetlana, Caruana, Clifford, Chircop, Kurt Lee, Chircop, Francesca, Chircop, Daniel Mario, Cini, Charles, Czok, Viktoria, Farrugia, Melanie, Grima, Gabriella, Almukhariq, Fatimah MJ Hassan, Muscat, Esther, Pisani, Darryl, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Shoukry, Mohamed, Spiteri, Neville, Tanti, Gilbert, Hasan, Ziad Aboharp, Soto, Alberto Bazan, Rubén, Cedillo Rodrìguez Jonathan, Zamudio, Gustavo Esteban Lugo, Gómez, David Gerardo Miranda, Meave, José Alfredo Pérez, Victor Pinto Angulo, Null, Aguilar, Antonio Rojas, Duran, Erik Efrain Sosa, Perez, Alejandro Vàzquez, Arroyo, Diego, Corona‐cruz, Jose, Martinez‐said, Hector, Medina‐franco, Heriberto, Mendez, Manuel, Suárez Ma, Teresa Moreno Y, Díaz, Dolores Orta, León Vázquez, Martha Patricia Pérez, Carvajal, Angélica Azucena Soto, Hernández, Fidel Soto, Stenner, Juan Ignacio, López, Adriana Valenzuela, Hernandez, Mauricio Rene, Romero, Rey Jesus, Hernandez, Aldo Bernal, Cortes‐flores, Ana Olivia, Valle, Carlos Jose Zuloaga Fernandez, Tinajero, Carlos Andres Colunga, Orozco‐perez, Jaime, Balboa, Laura Gabriela Peña, Yanowsky‐reyes, Guillermo, Torres, Víctor Hugo Alcalá, Camacho, Francisco José Barbosa, Perez, Irma Valeria Brancaccio, Calderon‐llamas, Miguel Angel, Gomez, Aldo Camacho, Cortes‐torres, Edgar‐joaquin, Cueva‐martinez, Esteban, Anguiano, Oscar Durán, Estrada, Isaac Esparza, Fierro‐rizo, Roberto, Becerril, Paola Flores, Orozco, Clotilde Fuentes, Castillo, Miguel García, Ojeda, Alejandro Gonzalez, Rubio, Ana Sofia Gonzalez, Rojas, Erick Alonso González‐García, Govea‐camacho, Luis Humberto, Barba, Jose Aldo Guzman, Peña, Juan Carlos Ibarrola, Martínez, César íñiguez, Llamas‐macias, Francisco Javier, Galaviz, Ruben Eduardo Morán, Nuño‐escobar, Cesar, Olvera‐flores, Oscar‐everardo, Osuna‐rubio, Jaqueline, Pérez‐navarro, Jose Victor, Prieto‐aldape, Rodrigo, Gonzalez, Luis Ricardo Ramirez, Sánchez, Marco Vinicio Ramírez, Reyes, Emilio, Romero‐limón, Olaya Moramay, Ruiz‐velasco, Carlos Beas, Martínez, José Antonio Sánchez, Sanchez‐villaseñor, Guillermo, Sedano‐portillo, Ismael, Gonzalez, Gabriela Ambriz, Moreno, Pedro Berrones Moreno Berrones, Alvarado, Ana Beatriz Calderon, Jesús Cárdenas Barón, José, Hernández, Araceli, Frutos, Francisco Javier León, Hernandez, Edgard Efren Lozada, Valencia, Eduardo Morales, Pérez, Karla Daniela, Bolanos‐morales, Francina, Herrera‐zamora, Julio, Santillan‐doherty, Patricio, Zavala, David Omar Arriaga, Campos, Salvador Francisco Campos, Carmona, Lizette, Nava, Antonio Galindo, Santos, Blanca, Cisneros, Juan Roberto Torres, Bozada‐gutiérrez, Katya, Herrera, Jose Jesus, Portillo, Mucio Moreno, López, Francisco Pérez, Trejo‐avila, Mario, Salazar, Carlos Valenzuela, Alvarez, Maria Regina, Cordera, Fernando, Rosa Abaroa, Marco Antonio, Gómez‐pedraza, Antonio, Hernandez, Roberto, Maffuz‐aziz, Antonio, Posada, José Antonio, Vidal, Carlos Robles, Beristain‐hernandez, Jose‐luis, Sada, Blas Eduardo Quintero, Heredia, Nicolás Uxmal Soruco, Anaya, Ernesto, Arceo‐olaiz, Ricardo, Sougarret, Bernardo Gutiérrez, Flores, Sonia Lopez, Ochoa Carrillo, Francisco J., Uribe, Raymundo Alfredo Pérez, Silva, Ludwigvan Adriano Bustamante, Lupián‐angulo, Arianne I, Martínez, Christian Enrique Soulé, García, Francisco César Becerra, Casillas, Ernesto Javier Guerrero, Uribe, Edgar, Arias, Nereida Esparza, Hernández‐nava, J. Mindy, Isla‐ortiz, David, Melchor‐ruan, Javier, Bañuelos, Esmeralda Romero, Salcedo‐hernández, Rosa, Vilar‐compte, Diana, Peniche, Paola Zinser, Aguilar Frasco, Jorge L., Alfaro‐goldaracena, Alejandro, Buerba, Gabriela Alejandra, Castro, Emma, Chan, Carlos, Cortes, Ruben, Dominguez‐rosado, Ismael, Lechuga, Daniel Garay, Herrera, Miguel, Hinojosa, Carlos, Lopez‐pena, Gabriel, Martos, Edgar, Mercado, Miguel ángel, Velázquez, Paulina Moctezuma, Moguel, Roberto, Oropeza, Mariano, Portugal, Emmanuel Peña Gómez, Posadas‐trujillo, Oscar Emmanuel, Salgado‐nesme, Noel, Jasso, Oscar Santes, Sarre, Catherine, Skewes, Karla Yareli Hernandez, Jimenez, Cristian, Licona‐meníndez, Roque Delfino, Montiel, Guillermo, Navarrete‐peón, Alberto, Ortega, Shannat, Lechuga, Fernanda Romero, Roque, Oscar, Sevilla, Fernando, González‐lópez, Rogelio, Núñez‐gonzález, Roberto ángel, Ortega‐jiménez, José Antonio, Alvarado, Antonio, Orendain, Alfonso Alvarez Manilla, Pesquera, José Alberto Atristain, Frutos, Diego, Garcia, Felipe, León, Juan Antonio González, Guzman, Marlin, Herappe, Dorihela, Miranda, Jesús Giovanni Inzunza, Botello, Miguel Angel Jimenez, Lerma, Ricardo, Pedraza, Fabián Hilario Mendoza, Castillo, Monica Noguez, Resendiz, Jose Anatolio, García, Oscar Alejandro Sánchez, Rios, Laura Elena Fernandez, Frigerio, Pamela, Garcia, Iset, Frías, Gloria Isela Mendoza, Moreno, Emmanuel, Quiroga, Raquel, Mendoza, Alejandra Anzures, Hinojosa, Arantza Govela, Izaguirre, Aldo, Miguelena, Luis Hdez, Vazquez, Jose Manuel Luna, Rodriguez, Indalecio Barcelata, Mange, Raul Ramos, Utrera, Carlos Reyes, Saenz, David Zarate, Gonzalez, Miguel Angel Zavala, González, Francisco Andrade, Cortes, Ludivina, Roman, David, Sanchez, Aaron, Gurghiș, Radu, Rojnoveanu, Gheorghe, Vozian, Marin, Caraja, Petru, Croitor, Gheorghe, Mosneaga, Roman, Erdene, Sarnai, Ganbold, Lundeg, Orgoi, Sergelen, Orsoo, Soyombo, Sainbayar, Altanchimeg, Sandag, Erdene, Sanjaa, Burmaa, Benhamou, Rita Ait, El Azhari, Abdessamad, Ghita, Bennis, Lhassani, Sara, Louraoui, Sidi Mamoun, Rghioui, Mounir, Saaf, Sarra, Gadouali, Taha, Gouazar, Iltimass, Korch, Moniba, Letrache, Ahmed, Louari, Amina, Zamame, Anas, Ousouss, Samia, Zekhnini, Meryem, Abderrazaq, Hafni, Abichou, Wijden, Ahlaou, Hamza, Baicha, Amal, Baroudi, Salma, Chaoui, Ghita, El Azzazi, Hind, El Masaoudi, Saja, Hassoun, Chiraz, Moujtahid, Hajar, Riyahi, Anas, Zaim, Ouijdane, Aji, Narjiss, Ammouze, Imane, Arkha, Yasser, Bechri, Hajar, Belabbes, Meryem Benchekroun, Benslimane, Zaineb, Boualila, Lina, Bouanani, Othmane, El Ouahabi, Abdessamad, Hossyni, Leila Essakalli, Malik, Boulaadas, Oudrhiri, Mohammed Yassaad, Sefrioui, Taha Ismail, Tagmouti, Adam, Bensghir, Mustapha, Elkoundi, Abdelghafour, Belarabi, Othman, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, El Bouazizi, Yassine, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Mohsine, Raouf, Souadka, Amine, Kone, Badra Aliou, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Jeketera, Clara, Yeboah, Kwasi, Abebrese, John Tabiri, Mureko, Alfred, Quayson, Francis William, Shikongo, Justina, Bhusal, Subarna, Dwa, Yam, Joshi, Ashoo, Berkeveld, Eva, Bloemers, Frank, Borgstein, Alexander, Gisbertz, Suzanne, Mikdad, Sarah, Berge Henegouwen, Mark, Bakx, Roel, Besselink, Marc, Lemmers, Daniel HL, Roelofs, Anne‐jasmin, Amstel, Paul, Helsdingen, Claire, Smeele, Ludi, Harlaar, Niels, Jonker, Frederik, Burg, Sjirk, Oostendorp, Justin Y., Ombashi, Saranda, Voort, Tim, Geldorp, Martijn, Posma‐bouman, Lisanne, Boer, Hans Donald, Olieman, Annette, Smid‐nanninga, Henriette, De Vries, Jean‐Paul P. M., Hogenbirk, Rianne, Derksen, Tyche, Franken, Josephine, Oosterling, Steven, Nolte, Peter, List, Jelle, Alwayn, Ian, Bijlstra, Okker, Braat, Andries, Bulder, Ruth, Kok, Michèle, Faber, Robin, Goudsmit, Ben, Hamming, Jaap, Mieog, Sven, Vahrmeijer, Alexander, Leemkolk, Fenna E. M., Vorst, Joost, Schaik, Jan, Verhagen, Merel, Albers, Kim, Gawria, Larsa, Van Goor, Harry, Warle, Michiel, Ginhoven, Tessa M., Viëtor, Charlotte, Boerma, Evert‐jan, Lallitsch, Lara, Schweitzer, Donald, Leclercq, Wouter, Sijmons, Julie, Vancoillie, Peter‐jan, Konsten, Joop, Heinsbergen, Maarten, Dekker, Nicole, Boer, Frank, Dimech, Julian, Djamali, Kaveh, Fowler, Carolyn, Ghamri, Naji, Houston, Helen, Joseph, Reece, Kantroo, Astha, Kwun, Jin, Lie, Samuel, Lightfoot, Nicholas, Maccormick, Andrew, Olliff, Sue, Trilokekar, Natasha, Wood, Daniel, Ekanayaka, Aruna, Furkert, Chris, Nanayakkara, Asanga, Panesar, Divyansh, Waddell, Oliver, Bidois, Lauren, Clifford, Zoe, Frizelle, Frank, Glyn, Tamara, Lim, Eric, Lyons, Oliver, Mclauchlan, Jared, Nicholas, Ella, O’Grady, Michael, Roake, Justin, Singh, Harsh, Ailabouni, Ramez, Rietveld, John, Alqassab, Mohammed, Amer, Mostafa, Chan, Annie, Egbuji, John, Fullarton, Mairi, Haddow, James, Hawkins, Robyn, Vui Teck, Lu, Oliver, Thomas, Saw, Kai Sheng, Sugunesegran, Ramanen, Wilkins, James, Woodfield, Esther, Baker, Joseph, Cama, Jitoko, Field, Xavier, Fulivai, Alamea, Hossain, Ruhella, Kelly, Ben, Jasen, Ly, Mckelvie, James, Meiyappan, Vivek, Cindy Xin Yi, Ou, Singh, Vidit, Hedley, Alex, Temara, Hinerangi, Aitken, Jake, Frunt, Brytt, Boys, Max Hardie, Lakshman, Prashant, Pinfold, Esther, Cowan, Sarah, Henderson, Nigel, Leary, Jessica, Castle, Cameron, Gaston, Matt, Haimona, Maira, Jury, Steffanie, Lahood, Zoe, Lim, Matthew, Macintyre, Dillon, Mak, Josephine, Neal, Annelise, Shelker, William, Weeratunga, George, Ferguson, Liam, Harmston, Christopher, Heaven, Chelsea L, Watt, Imogen, Cahill, Henry Witcomb, Abdurrazzaaq, Abdussemee, Abdussalam, Hameedat Opeyemi, Adebanjo, Ademola, Ahmed, Aminat Olayinka, Borokinni, Opeyemi Busayo, Fasiku, Olushola Kayode, Gwaram, Usman, Okoye, Onyedika, Olaomi, Oluwole, Adeyeye, Ademola, Enoch, Elizabeth, Fayose, Samuel, Kayode‐nissi, Victor, Kadiri, Innih, Oduah, Stella, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Kwankiyel, Auwal Babayo, Umar, Shahir Bello, Hassan, Sulaiman, Ja’Afar, Abubakar Bappah, Ja’Afaru, Umma Hani, Kadas, Saidu, Liman, Haruna, Makama, Baje, Mohammad, Aminu Mohammad, Kirfi, Abdullahi Musa, Oyediji, Funmilayo, Mohammed, Husseini Yakubu, Akpoghor, Oghenevwegba, Arekhandia, Alexander, Dawodu, Oseyi, Edetanlen, Ekaniyere, Efobi, Chizoba, Egbor, Esezobor, Enaruna, Nosakhare, Ezeanochie, Michael, Ezenwa, Ekene, Ijekeye, Ferdinand, Imumoren, Joe, Iribhogbe, Oseihie, Irowa, Omorodion, Momoh, Moses, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Obuekwe, Ozoemene, Odai, Emeka Danielson, Odigie, Vincent, Odutola, Oluwatomi, Okhakhu, Amina, Okugbo, Stanley, Oni, Samson, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Ugwi, Veronica, Uwagboe, Charles, Yusuf, Sofiat, Abiodun, Adekunle, Akinloa, Olufemi, Shodipo, Moses, Abdullahi, Alhassan, Lawal, Ishak, Echieh, Chidiebere Peter, Nwagboso, Chimaobi, Udoh, Ubong, Akanni, Bolaji, Anyimba, Solomon, Chukwu, Isaac, Ezomike, Uchechukwu, Gold, Ikponmwosa, Nnabugwu, Ikenna, Nwafor, Ikechukwu, Okolie, Louis, Okoro, Kelechukwu, Okwara, Blasius, Onyemaechi, Ndubuisi, Abdulsalam, Khalifa, Arogundade, Abayomi, Kura, Mohammed, Nwosu, David, Abdullahi, Habiba, Agida, Eyaofun, Aisuodionoe‐shadrach, Oseremen, Ajibola, Hafees, Akaba, Godwin, Ale, Omolabake, Atim, Terkaa, Emeka, Malachy Ayogu, Benard, Adeka, Buba, Amina, Chinda, John, Edino, Stephen, Eniola, Sefiu, Garba, Stephen, Isah, Aliyu, Isah, Dennis Anthony, Joshua, Zaman, Mbajiekwe, Ndubuisi, Mshelbwala, Philip, Muhammad, Rafat, Offiong, Richard, Olute, Anne, Osagie, Olabisi, Ogolekwu, Idoko Pius, Sulaiman, Bilal, Suleiman, Salisu, Umar, Aminu, Abayomi, Olukayode, Abdus‐salam, Rukiyat, Adebayo, Sikiru A., Adeleye, Amos, Ademola, Samuel, Afuwape, Oludolapo, Ajao, Akinlabi, Akinsola, Sanusi, Aladelusi, Timothy, Ayandipo, Omobolaji, Baiyewu, Lateef Ayodele, Balogun, Mosimabale, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Elemile, Peter, Ezeme, Constantine, Fasunla, Ayotunde James, Gbolahan, Olalere, Iwuagwu, Ifeanyi, Michael, Afieharo, Morhason‐bello, Jemiludeen, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Ogundoyin, Olakayode, Ogunkeyede, Segun Ayodeji, Ogunrewo, Tolulope, Okere, Oghenekevwe, Oladejo, Titilola, Oladiran, Ajibola, Olagunju, Naomi, Olaoye, Ifedolapo, Olawoye, Olayinka, Olulana, Dare, Olusanya, Adeola, Omigbodun, Akinyinka, Onakoya, Paul, Orji, Mathias, Oyelakin, Oyeleye, Oyewole, Olugboyega, Sule, Samuel, Takure, Augustine O, Ugwu, Ebere, Afolabi, Bosede, Ajayi, Peter, Akinajo, Opeyemi, Alakaloko, Felix, Atoyebi, Oluwole, Belie, Orimisan, Bode, Chris, George, Ihediwa Chibuike, Elebute, Olumide, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo‐ajayi, Oluwaseun, Makanjuola, Ayomide, Makwe, Christian, Mofikoya, Bolaji, Ohazurike, Ephraim, Ojewola, Rufus Wale, Okunade, Kehinde, Okunowo, Adeyemi, Olajide, Thomas Olagboyega, Oni, Oluwafemi, Tijani, Kehinde, Ugburo, Andrew, Ugwu, Aloy Okechukwu, Abiola, Paul, Abiyere, Henry, Adebara, Idowu, Adeniyi, Adebayo, Adeyemo, Olabisi, Ariyibi, Abimbola, Babalola, Olakunle, Bakare, Adewumi, Banjo, Oluseyi, Egharevba, Peter, Obateru, John, Ojo, Owolabi, Olajide, Adewale, Oluwafemi, Fatudimu, Oyeleye, Oluwole, Salawu, Adedayo, Babatunde, Bakare Tajudeen Ishola, Abdulsalam, Moruf, Adelaja, Aderinsola, Adeniran, Abimbola, Ajai, Olalekan, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Faboya, Omolara, Idowu, Olufemi, Idowu, Jeuel, Mustapha, Muntaqa, Omisanjo, Olufunmilade, Osuoji, Roland, Vitowanu, Julius, Abe, Anthonia, Aderounmu, Adewale, Adesunkanmi, Abdulhafiz, Ajekwu, Temitope, Ajekwu, Samuel, Ajiboye, Olalekan, Aderogba, Adeleke Akeem, Alatise, Olusegun Isaac, Babatunde, Mustapha, Balogun, Simon, Ijarotimi, Adebimpe, Lawal, Adedayo, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Ubom, Akaninyene Eseme, Agbaje, Ademola, Mohammed, Tajudeen, Adeniran, Abiodun, Adesola, Muideen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ayinmode, Iyehunwa, Bello, Jibril, Ezeoke, Grace, Gwadabe, Sadiya, Ibraheem, Gbadebo, Ibrahim, Saidu, Ijaiya, Munir’Deen, Nasir, Abdulrasheed, Odeyemi, Peter Olalekan, Ogunade, Olukayode, Olabinjo, Afusat, Olatoke, Samuel Adegboyega, Olowogbayi, Tope, Onjefu, Stephen, Popoola, Ademola, Raji, Hadijat Olaide, Salawu, Nasiru, Salawu, Hafeez, Sayomi, Tolulope Olayinka, Segun‐busari, Segun, Uche‐okonkwo, Kenechukwu, Abiola, Olajide, Anipole, Olalekan, Ogunlaja, Olumuyiwa, Adesina, Oluwaseyi, Alayande, Barnabas, Ebenezer, John, Enwerem, Kenneth, Isichei, Christian, Isichei, Mercy, Luku, Pwaluke, Omiragi, Paul, Onyeji, John, Adze, Joel, Aghadi, Ifeanyi, Auta, Akawu, Duniya, Sharon, Gyuro, Joseph, Lawal, Jamila, Makama, Jerry Godfrey, Mohammed, Garba, Mohammed‐durosinlorun, Amina, Salisu, Kabiru, Taingson, Matthew, Yusuf, Nuhu, Amos, Happy, Daniel, James, Takai, Idris Usman, Abdullahi, Lawal, Abdullahi, Sani, Abdulrahman, Mamuda, Abubakar, Mohammed Kabir, Adikaibe, Valentine, Ahmad, Misbahu, Ahmad, Jameel Ismail, Aji, Sani Ali, Aliyu, Mohammed Salele, Danagundi, Maryam Babba, Bako, Yusuf Halidu, Bello‐muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Ismail, Hassan, Sadiq, Usman, Mustapha Ibrahim, Ismail, Nasiru, Jibril, Yasir Nuhu, Kurawa, Musbahu, Magashi, Mahmoud Kawu, Martins, Bardi, Bello, Usman Mohammed, Muhammad, Saminu, Muhammad, Abubakar Bala, Muhammad, Shamsuddeen, Daneji, Sulaiman Muhammad, Mukhtar, Ibrahim Aliyu, Adamu, Kabir Musa, Nwachukwu, Callistus, Omeje, Uchenna Kelvin, Orji, Ifeanyi James, Sheshe, Abdurrahman Abba, Suleiman, Ibrahim, Yunusa, Sani Abdullahi, Maryam, A, Abubakar, Kabiru Bello, Habib, Saudat Garba, Mahmood, Farrukh, Alabi, Ibrahim Abolaji, Arojuraye, Soliudeen, Salihu, Mohammed, Alade, Samuel, Kumolalo, Felix, Mogbo, Chiedozie, Adebayo, Olaolu, Ige, Oluwasuyi, Jones, Gbenga, Odunafolabi, Tunde, Olubayo, Oluniyi Oyetunde, Akani, Chris, Alasia, Datonye, Alegbeleye, Justina Omoikhefe, Aria, Oti Nimi, Awopeju, Abimbola, Edonkumoh, Kemebradikumo, Ekeke, Onyeanunam, Fyneface‐ogan, Sotonye, John, Celestine, Kasso, Terhemen, Korubo, Inye, Mato, Christie, Ogu, Rosemary, Okpani, Charles, Okpani, Anthony, Onwuagha, Ijeoma, Oppah, Ijeoma, Oputa, Victory, Oranu, Emmanuel, Orazulike, Ngozi, Otokwala, Job, Ugboma, Henry A. A, Ajayi, Adekunle, Ogundele, Ibukunolu, Salami, Babatunde, Ajagha, Okeoghene, Ali, Yakubu, Awaisu, Mudi, Daniyan, Muhammad, Fidelis, Lovely, Nwabuoku, Stanley Emeka, Ogunsua, Oluseyi, Oyelowo, Nasir, Sholadoye, Tunde T., Yakubu, Alfa, Rendevski, Vladimir, Shuntov, Blagoj, Shuntov, Natalija Cokleska, Georgieva, Gordana, Jovanoski, Tomislav, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Srbov, Blagoja, Trajkova, Andrijana, Trenchev, Viktor, Dohcev, Sasho, Janchulev, Josif, Saidi, Skender, Stankov, Oliver, Trifunovski, Aleksandar, Draz, Najib Abu, Al Ajmi, Khalil, Al Ajmi, Ghadeer, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Nawf, Al Bassam, Wameedh, Al Farsi, Maather, Al Ghafri, Wadha, Al Ghafry, Alaa, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Kalbani, Maha, Al Kharusi, Lamya, Al Kharusi, Safiya, Al Mutani, Mohammed, Al Qadhi, Hani, Al Raisi, Amani, Al Riyami, Nihal, Al Sabti, Hilal, Al Shaibi, Maha, Al‐abri, Rashid, Al‐mujaini, Abdullah, Al‐rashdi, Aya, Alajmi, Suha, Albadi, Zamzam, Albusaidi, Hanadi, Alhadeethi, Ahmed, Aljabri, Noor, Alkazrooni, Muhannad, Alkharousi, Nadiya, Alkharusi, Al‐salt, Alkiyumi, Khadija, Almaharbi, Noof, Alsaadi, Sabaa, Alsharji, Marwa, Alsharqi, ALi Hamed, Alshehhi, Fatma, Alsulaimani, Thuwaiba, Alward, Mustafa, Alwashahi, Mohammed, Alyafii, Hussain, Alzadjali, Adil, Basi, Tayseer, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Kariyattil, Rajeev, Kenawy, Ahmed Omer, Kochummen, Koshy, Kolethekkat, Arif, Pillai, Mahesh Krishna, Sureshkannan, Ks, Laghari, Farman Ali, Manjunatha, Attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Nair, Asha, Naiya, Hafsa Ismail Ibrahim, Nazar, Zuhail, Pillai, Silja, Rahim, Ferdous, Rahman, Khalid, Sheik, Shahila, Siddiqi, Mohammad Salman, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Khan, Muhammad Ahsan, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Syed, Danish, Rehman, Ishtiaq Ur, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha Yurf, Bangash, Ali Haider, Latif, Sehrish, Naqvi, Wajih, Abdullah, Muhammad Tariq, Abdullah, Saleha, Ahmed, Arooj, Ahsan, Muhammad Fahim Ahsan, Akhtar, Fahad, Ali, Sana, Ansar, Mehwish, Aqib, Muhammad, Arslan, Muhammad, Ashraf, Sumaira, Ayubi, Azaz, Azam, Tayyab, Bhatti, Hamza, Huda, Shahab, Irshad, Abeer, Ishaque, Nazia, Khaliq, Tanwir, Khan, Farheen, Khan, Mumtaz Ahmad Khan, Mahmood, Namrah, Malik, Ali Raza, Malik, Tahir, Malik, Komail, Mehmood, Manzer, Mustafa, Fatima, Noor, Fazal, Nubair, Sarwar, Rashid, Isbah, Saeed, Waqar, Sajid, Hannan, Shah, Sajid, Shami, Ali, Siraj, Minhaj Us Siraj, Tareen, Mariam, Haq, M Burhan Ul, Abbas, Manzar, Zaidi, Syeda Maria Ahmad, Ahmed, Iffat, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhtar, Munazza, Akhund, Ramsha, Manji, Adil Al‐Karim, Arshad, Hajra, Awan, Muhammad Ozair, Aziz, Humaira, Bhutto, Shameen, Aamir, Faiqa Binte, Biyabani, Syed Raziuddin, Chishti, Uzma, Chundrigar, Mohsin, Ghaloo, Shayan Khalid, Haroon, Waqqas, Hashmi, Shiraz, Hassan, Murtuza, Inam, Hina, Kassam, Nausheen, Kazmi, Abbas, Khan, Majid, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Martins, Russell Seth, Mubarik, Areeba, Munir, Muhammad Musaab, Musharraf, Muhammad Bazil, Naz, Falak, Noordin, Shahryar, Pervaiz, Arsalan, Qamar, Javeria Bilal, Rahman, M Fazlur, Rani, Pallavi, Rasheed, Yasir, Sadia, Haleema, Saeed, Marwah, Safri, Mohammad, Salim, Shaharyar, Sattar, Abida K., Shamim, Shahzad, Sherwani, Maryam, Siddiqui, Muhammad Ahsan Iqbal, Sidhwa, Astad, Tariq, Javeria, Tejani, Isbaah, Waqar, Usama, Zahid, Fahad, Jamal, Abid, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Saeed, Summaya, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Arshad, Muhammad, Hussain, Syeda Namayah Fatima, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Nasir, Manal, Sohail, Osama Bin, Mangi, Ali, Markhand, Naveed, Mushtaq, Hassan, Zia, Kashif, Ahmed, Hassaan, Ahmed, Nasir, Qureshi, Talha Ahmed, Shaikh, Shafqat Ali, Anwer, Rabia, Arshad, Owais, Batool, Sehrish, Chatni, Muhammad, Chundrigar, Tariq, Dojki, Samina Saleem, Elahi, Minahil, Farooqui, Bakhtawar, Ghouri, Amna, Hassan, Nabeel, Hussain, Zainab, Hussaini, Null, Iftikhar, Fizza, Iqbal, Faizan, Javed, Anum, Javed, Dania, Kamal, Wajahat, Khan, Shifa, Mughal, Zeeshan Uddin, Murtaza, Ghulam, Nadeem, Areeba, Nasir, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Haroon, Umer Saeed, Saleem, Shah Masabat, Seriwala, Haseeb, Shah, Aaqil, Siddiqui, Safia, Tanveer, Asher Tanweer, Tariq, Nida, Zaman, Junaid, Zamir, Mehroz, Anjum, Muhammad Ayyub, Afzal, Ameer, Ahmed, Ehsan, Ahmed, Jawad, Riaz, Shujat Ahmed, Akbar, Ali, Akbar, Bilal, Ali, Maria, Ali, Imran Ali, Ali, Abrar Ashraf, Ali, Ghazanfar, Altaf, Zahra, Ammar, Ahmed Siddique, Arif, Hafiz Muhammad Arif, Aslam, Imran, Bashir, Muhammad Mustehsan, Farooq, Usman, Farooq, Muhammad, Gondal, Khalid Masood, Iqbal, Muhammad Javed, Iqbal, Zafar, Ismail, Fahad, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Joshi, Prabesh, Khadam, Mamoona, Khan, Romaisa, Khawaja, Muhammad Asadullah, Manzoor, Sobia, Mohsin, Muhammad, Mumtaz, Khizra, Musaab, Muhammad, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Noureen, Sadaf, Rafi, Yaseen, Raza, Ali, Rijal, Sushil, Saleem, Irfan, Shah, Hafiz Syed Zaigham Ali, Sharif, Muhammad, Shaukat, Ayesha, Siddique, Usman, Sikandar, Hafiz Saqib, Sohail, Mohammad, Zahara, Fatima Tu, Usman, Yasmeen, Zaman, Balakh Sher, Zeb, Misbah, Afzal, Muhammad Farooq, Ahmad, Fateen, Ahmed, Waqas, Akram, Shahzad, Alam, Azhar, Ali, Danish, Ali, Ahsan, Alvi, Ammar Tariq, Asif, Suleman Asif, Aslam, Madiha, Daood, Muhammad Daood, Jawad, Muhammad, Kathia, Usama Muhammad, Khalid, Ismaeel, Khan, Anwar, Khurshid, Zain, Noman, Hamza, Raza, Ahsan, Taha, Hassan, Zubair, Muhammad, Maria, Noor Ul Huda, Janjua, DrAtif A, Ahmad, Qamar Ashfaq, Ahmad, Sheraz, Ali, Imran, Amin, Sana, Anjum, Momina, Asjad, Muhammad, Aslam, Aatif, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bakhtiar, Akkasha, Bashir, Alia, Batool, Fizza, Bhatti, Samiullah, Butt, Roshan, Butt, Usman, Changazi, Shabbar Hussain, Cheema, Omer Iqbal, Chishti, Muhammad Haris, Haq, Bushra, Hashmi, Ali, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Iqbal, Javaid, Iqbal, Ayesha, Ishaq, Amna, Javed, Sundas, Javed, Hina, Javed, Aymen, Kashif, Muhammad, Khalid, Muhammad Saud, Khan, Wasim Hayat, Khan, Rohma, Khan, Fatima, Latif, Usman, Mahmood, Arif, Majeed, Faizan, Malik, Kiren, Masood, Rumaisa, Munawwar, Fasiha, Mushtaq, Asma, Nabi, Muhammad Shoaib, Nasir, Ahmad, Naureen, Shazia, Noreen, Zahida, Qadir, Muhammad Ghulam Qadir, Raana, Gul e Raana, Rashid, Madeeha, Rehman, Abdul, Riaz, Sidra, Saboor, Arfa, Sadiq, Muhammad Hamza, Saeed, Komal, Saleem, Humaira, Sarfraz, Kiran, Shafiq, Zahid, Shafqat, Aymen, Shaukat, Hassan, Sher, Fateh, Sohail, Rubina, Suhail, Amina, Muhammad, Bilal Syed, Umair, Usama, Umar, Muhammad, Usama, Muhammad, Usman, Natasha, Waheed, Kalsoom, Farooka, Muhammad Waris, Wasim, Shafqat, Wasim, Tayyiba, Yasin, Fahad, Zafar, Zain, Zaka, Sabahat, Zaman, Salma Zaman, Azad, Junaid, Fatima, Zareen, Anwar, Muhammad Imran, Naseer, Muhammad Ahmed, Shah, Muhammad Taimoor, Ali, Ammar, Aslam, Muhammad, Aziz, Muhammad Usama, Gohar, Farhan, Humayoun, Waseem, Khan, Hassan, Naeem, Shiza, Tahir, Warda, Alvi, Kashif, Mehmood, Maria, Ali, Muhammad, Shahzad, Aniqa, Sher, Muhammad, Murtaza, Null, Siddique, Hijab, Anjum, Waleed, Ahmad, Manzoor, Alam, Muhammad, Faizi, Fouzia, Faridoon, Shehla, Hussain, Musarrat, Iftikhar, Muhammad, Jan, Yousaf, Kalim, Muhammad, Raza, Tilal Ahmed, Shah, Farrukh Ozair, Shah, Muhammad, Tahir, Imran, Khan, Hamza, Naeem, Muhammad, Ahmad, Shabir, Ahmed, Haseeb, Akbar, Hazrat Akbar, Akhtar, Muhammad Shaheer, Ali, Noman, Ali, Mehboob, Ali, Sadaf, Ali, Irfan, Amin, Hasbi Allah, Amin, Shehzadi, Ayub, Bakhtawar, Basir, Muhammad, Faraz, Ahmad, Farsi, Muhammad Salman, Gul, Ambrin, Gul, Hina, Gul, Ayaz, Gul, Sana, Haider, Sajjad L, Ikramullah, Syed Ikramullah, Jan, Kashif, Khalid, Muhammad, Khan, Salman, Khan, Muhammad Faisal, Khan, Faraz Ahmad, Mian, Iftikhar, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Raziq, Naila, Rehman, Riaz, Salim, Azra, Shafqat, Tanveer, Shah, Faaiz Ali, Shah, Suliman, Shakeel, Muhammad, Ullah, Tahsin, Rehman, Shams Ur, Wali, Sabaeena, Zahoor, Farnaz, Zeb, Gulmeena, Zeb, Laila, Haseeb, Null, Raza, Waqas, Amir, Zein, Arshad, Daneyal, Daud, Mashal, Chughtai, Umer Javed, Rauf, Mirza Hammad, Sajid, Zaina, Abid, Rubaba, Azam, Ayesha, Farkhanda, Tallat, Firdos, Kanwal, Khalid, Tabinda, Malik, Sobia, Mashal, Javeria, Salim, Ruqyyah, Saqib, Madiha, Shaheen, Aneela, Shahid, Madiha, Yasmeen, Irfana, Ahmed, Faryal, Ali, Aneeqa, Amjid, Zarafshan, Anwar, Muhammad Idrees, Arif, Iqtaza, Ashraf, Anam, Butt, Adam Umair Ashraf, Azhar, Faryal, Daniyal, Muhammad Daniyal, Ghazanfor, Ramlah Ghazanfor, Ishtiaq, Daniyal, Jamil, Manahil, Khalid, Ziaullah, Khan, Jahangir Sarwar Khan, Khan, Muhammad Sarfraz, Mahmood, Usama, Mahmood, Ashraf, Malik, Abdur Rehman, Nagra, 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A., Jobran, Fahmi, Lahlooh, Raghad, Aburayyan, Fatima, Abuzaina, Khalil, Aljuba, Ayat A., Aljunaidi, Roaa, Alzughayyar, Tareq, Amro, Adham, Amro, Sarah, Dweik, Mays, Halman, Safa, Qafisha, Qutaiba, Shaheen, Farah, Shawer, Balqis, Shehadeh, Daleen, Zalloum, Jihad, Demyati, Khaled, Hajhamad, Mohammed, Saqfalhait, Zain, Del Cid, Emmy Arrue, Rodriguez‐zentner, Homero, Abed, Francisco, Garayo, Rafael Osmar Adorno, Aguilar, Ruben, Aguilar, Ana, Maidana, Domingo Javier Aguilera, Casañas, Diego José Almada, Almiron, Teresa, Arrua, Analia, Avila, Pedro, Balmaceda, Brenda, Barreto, Alexandra, Galeano, Analy Barreto, Nuñez, Belinda Barrientos, Benegas, Magdalena, Berden, Martin, Bogarin, Amalia, Bonnin, Jorge, Barrios, Edulfo Britez, Burgos, Julio, Melgarejo, Carlos Fabián Cárdenas, Samudio, José De Jesus Casco, Cataldi, Sandra, Centurion, Jorge Augusto, Ramirex, Luz Maria Cespedes, Colina, Katerine, Almando, Gabriel Augusto Cuevas, De Bleecker, Karina, Dragotto, Antonella, Eiwa, Eiji, Enciso, 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F. F., Li, E., Picciochi, M., Glasbey, J. C., Baiocchi, G., Blanco-Colino, R., Chaudhry, D., Alameer, E., El-Boghdadly, K., Wuraola, F., Ghosh, D., Gujjuri, R. R., Harrison, E. M., Lule, H., Kaafarani, H., Khosravi, M., Kronberger, I., Leventoglu, S., Mann, H., Mclean, K. A., Mengesha, M. G., Modolo, M. M., Ntirenganya, F., Norman, L., Outani, O., Pius, R., Pockney, P., Qureshi, A. U., Roslani, A. C., Satoi, S., Shaw, C., Bhangu, A., Omar, O. M., Ahmed, W. -U. -R., Argus, L., Ball, A., Bywater, E. P., Brar, A., Dawson, B. E., Duran, I., Elhadi, M., Jones, C. S., Kamarajah, S. K., Keatley, J. M., Lawday, S., Marson, E. J., Ots, R., Santos, I., Taylor, E. H., Trout, I. M., Varghese, C., Venn, M. L., Xu, W., Dajti, I., Gjata, A., Kacimi, S. E. O., Boccalatte, L., Cox, D., Townend, P., Aigner, F., Kronberger, I. E., Samadov, E., Alderazi, A., Hossain, K., Padmore, G., van Ramshorst, G., Lawani, I., Cerovac, A., Delibegovic, S., Gomes, G. M. A., Buarque, I. L., Gohar, M., Slavchev, M., Nwegbu, C., Agarwal, A., Martin, J., Ng-Kamstra, J., Olivos, M., Lou, W., Ren, D. -L., Calvache, J. A., Perez Rivera, C. J., Hadzibegovic, A. D., Kopjar, T., Mihanovic, J., Jimenez, P. M. A., Gouvas, N., Klat, J., Novysedlak, R., Amisi, N., Christensen, P., El-Hussuna, A., Batista, S., Lincango-Naranjo, E., Emile, S., Sandoval, D. A. A., Dhufera, H., Hailu, S., Kauppila, J. H., Arnaud, A. P., Demetrashvili, Z., Albertsmeier, M., Lederhuber, H., Loffler, M. W., Acquah, D. K., Ofori, B., Tabiri, S., Metallidis, S., Tsoulfas, G., Aguilera-Arevalo, M. -L., Recinos, G., Mersich, T., Wettstein, D., Kembuan, G., Milan, P. B., Khosravi, M. H., Mozafari, M., Hilmi, A., Mohan, H., Zmora, O., Gallo, G., Pata, F., Pellino, G., Fujimoto, Y., Kuroda, N., Abou Chaar, M. K., Ayasra, F., Fakhradiyev, I., Hamdun, I. H. S., Jin-Young, J., Jamal, M., Karout, L., Gulla, A., Rasoaherinomenjanahary, F., Samison, L. H., Sanchez, I. I. D., Gonzalez, D. 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H., Datler, P., Dawoud, C., Farr, A., Foessleitner, P., Grimm, C., Harpain, F., Hoda, M. A., Holawe, S., Kranawetter, M., Ott, J., Perricos, A., Pesta, M., Pillerstorff, R., Reiterer, C., Riss, S., Rosta, K., Scheriau, G., Tschernko, E., Wenzl, R., Wiedemann, D., Wohlrab, P., Zapletal, B., Zimmermann, M., Zimpfer, D., Findl, O., Fisus, A., Ruiss, M., Komaz, M., Meindl, N., Primavesi, F., Stadlbauer, K. H., Stattner, S., Steiner, F., Cerny, O., Falkensammer, E., Knotzer, H., Koglberger, P., Poidinger, B., Wiesinger, C. G., Burtscher, J., Rath, S., Trivik-Barrientos, F., Aliyeva, G., Behbudov, V., Muslumov, G., Zeynalov, N., Alam, M., Alfayez, F., Hasan, B., Mahdi, M., Mulla, H., Qader, K., Saeed, A., Shirazi, A., Albastaki, A., Birido, N., Chagla, H. H., Dawaishan, A., Dawaishan, B., Farhan, A., Juma, I., Khan, A., Patel, A. M. E., Srinivasan, M., Deen, F. W. A. M. A. N., Abdulqadir, S., Jabr, A., Maqsood, F., Almoosa, N., Naseer, M., Alam, M. S., Basher, A. K. M. K., Islam, S. M. N., Karim, S., Faisel, M., Khan, S., Mannan, I. I., Nazia, N., Bentham, M., Corbin, S., Doyle, A., Eastmond, A., Haynes, A., O'Shea, M., Phillips, E., Walkes, K., Artyushkov, E. L., Kaplan, M. L., Straltsov, V., Litvina, Y., Lyzikov, A., Tihmanovich, V. E., Borges, M., Brits, T., De Hous, N., De Wachter, S., Menovsky, T., Mortiers, X., Vermeulen, D., Vleminckx, N., Ysebaert, D., Bontinck, J., Bulthe, D., Rasschaert, R., Van Haver, A. -S., Van Belle, K., Verstraeten, L., Vounckx, M., D'Ulisse, S., De Bruyne, Y., El Nakadi, B., Heloise, T., Luisetto, M., Marinakis, S., Maton, M., Viste, C., Van Daele, E., Vandeputte, M., Duinslaeger, M., Jacobs-Tulleneers-Thevissen, D., Jansen, Y., Janssens, W., Kunda, R., Messaoudi, N., Ruyssers, M., Van Eetvelde, E., Vanhoeij, M., Van den Eynde, J., Van den Eynde, R., Chaoui, A. M., Akpla, M., Lawani, S., Agossou, H., Behanzin, H. A., Bokossa, C., Dewanon, H., Yome, H., Boukari, A., Gbehade, O., Amossou, L. F., Dossou, F., Barisic, T., Boras, M., Brekalo, Z., Blagojevic, I. C., Damjanovic, A., Dragisic, V., Simic, A. D., Gunaric, F., Kajic, M., Knezevic, D., Kresic, T., Lasic, V., Letica, L., Martinovic, V., Mikulic, I., Miskovic, J., Pehar, H., Rastovic, P., Sesar, I., setka-Culjak, V., Soljic, M., Tiric, D., Tomic, V., Vasilj, A., Hudic, I., Oliver, R. A., Lamonica, F. A., De Medeiros, J., Florindo, H. D. B., Filho, R. J. F., Pereira, F. C., Rodrigues, R., Junior, A. A. R., de Andrade, F. R., Salvetti, M., Campioto, D. S., Lamonica, M. T., Urbano, G., Prado, R. V., Alonso, N., dos Santos, C. F., Tonello, C., Pires, R. E., Rezende, R. F., Reis, I., Marson, F. A. L., Ferreira, E. P., Palamim, C. V. C., Brandao, M., de Souza, T. H., Maunsell, R., Neto, A. A., Accorsi, G., Fernandes, M. F., Machareth, C., Moura, B. V., Dias, V., Guarienti, L., de Sampaio, L. R., Vendrame, C., Coelho, T. A., Becker, K., Dias, A., Fachin, C. G., Gomes-da-Silva, M. M., Moraes, I., Pinto, A., Stychnicki, A. 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R., Rodrigues, D. N., Pansani, A., Rocha, M. L., Simonsen, M., Tsuchiya, D., Vasques, R., Amorim, J., Carvalho, A. A., Correia, R., dos Santos, B. C., Neto, H. J. G., Nakano, L., Pereda, M., Vasconcelos, V., Awada, J. B., Gava, G., Ijichi, T. R., Kim, N. J., Nunes, R., Pinto, F., Pereira, T. H. S., Volpe, G. J., Gatti, A., Nardi, C., Oliva, R., de Oliveira, L. B., de Carvalho, H. E. F., Ribeiro, I. P., Rodrigues, G. R. S., de Sousa, A. F. L., Chebel, M., de Sousa Fernandes, P. H., Freitas, M. A. F., da Cunha, J. 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A., Workneh, W., Genetu, S., Mebratu, E., Chanyalew, L., Deresse, T., Girma, A., Seid, M., Shimelash, D., Shitaw, A., Ayalew, T., Diress, T., Kassahun, B., Kassaye, B., Mulugeta, E., Tesfaw, G., Yimenu, B., Benecha, S., Aman, M., Mekete, A., Tesemma, A., Mohammed, A. A., Abdullahi, Y. Y., Adem, E., Ahmedin, M., Assefa, Y., Ayde, F., Berhe, A., Gebremeskel, Z., Siyoum, E. G., Teresa, S., Wude, Z., Yemer, F., Yohannes, D., Zeleke, E., Zerihun, G., Degefe, D. W., Derilo, H. T., Eliyas, N., Bayissa, F., Deressa, Y., Gemechu, L., Gurmu, T., Kasaye, A., Melese, L., Muleta, L., Mulugeta, G., Taye, S., Teshome, A., Tesso, B., Gebrekirstos, G., Haile, M., Kassa, H., Saddik, M., Mengist, A., Heikkinen, J., Helminen, O., Huhta, H., Kotkavaara, T., Mosorin, M. -A., Pitkanen, J., Qian, C., Sinikumpu, J., Sova, H., Tastula, M., Virta, V. 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M., Salle, H., Taibi, A., Tricard, J., Usseglio, J., Chopinet, S., Gregoire, E., Delpont, M., Blanchard, C., Crenn, V., de Vergie, S., Denis, W., Fragnaud, H., Regenet, N., Rigaud, J., Varenne, Y., Anract, P., Barat, M., Biau, D., Dautry, R., Dohan, A., Idier, L., Lang, E., Thouny, C., Tzedakis, S., Audenet, F., Cazelles, A., Chamouni, A., Karoui, M., Mejean, A., Clermidi, P., Langlais, T., Leonelli, L., Maisonneuve, E., Nicolas, B., Perrot, O., Prost, D., Thomin, A., Thouement, T., Athiel, Y., Berry, R., Boddaert, G., Bonnet, S., Cathala, N., Conso, C., Denet, C., Laforest, A., Levy-Zauberman, Y., Macek, P., Mombet, A., Ollat, D., Scamporlino, A., Zadegan, F., Amine, C. A., Baratte, B., Chartier-Kastler, E., Chereau, N., Colas, P. -A., Duquesne, I., Genser, L., Petit, G. G., Goumard, C., Hasani, A., Lim, C., Martellotto, S., Melot, C., Menegaux, F., Pinar, U., Pocard, M., Roupret, M., Scatton, O., Seisen, T., Severine, N., Turco, C., Chouillard, E., Beganton, P., Frasca, D., Kerforne, T., Corbiere, L., Gasmi, A., Ghemame, M., Guerin, S., Khene, Z. -E., Livin, M., Mahmoud, F., Maillot, B., Merdrignac, A., Mouriaux, F., Robin, F., Sulpice, L., Vazeux, C., Bertheuil, N., Bonneau, S., Cazemajou, C. T., Cousin, I., Defert, C., Fustec, E., Juricic, M., Lavoue, V., Mevel, G., Timoh, K. N., Renault, A., Violas, P., Schwarz, L., Tuech, J. J., Morichau-Beauchant, T., Sauvat, F., Haddad, E., Vermersch, S., Patrizi, A., Roux, A., Aime, A., Malgras, B., Cherkaoui, Z., D'Urso, A., Felli, E., Gonzalez, C. A., Ignat, M., Mutter, D., Pessaux, P., Vix, M., Gornes, H., Vergriete, K., Berthoumieu, P., Genre, L., Le Gall, H., Pierre, T., Chalhoub, M., Del, M., Martinez, A., Fuchs-Buder, T., Vancon, A., Faya, C. A., Asaph, E., Baruwa, E., Hofman, G., Machemedze, S., Idiata, M. M., Muhemi, R., Ndizeye, O., Nkunzimana, E., O'Connor, J., O'Connor, Z., Tchoba, S., Boumas, N., Devidze, G., Pisarevi, G., Baumgarten, S., Grusser, L., Holzle, F., Kowark, P., Kowark, A., Rossaint, R., Schafer, B., Wallqvist, J., Winnand, P., Ziemann, S., Anthuber, M., Broecheler, T., Edlinger, F., Gosslau, Y., Hyhlik-Duerr, A., Maksymiw, F., Shiban, E., Sommer, F., Sommer, B., Zerwes, S., Beyer, K., Lauscher, J. C., Lee, L. D., Loch, F. N., Schineis, C., Aghalarov, I., Belyaev, O., Braumann, C., Enste, A., Fahlbusch, T., Herzog, T., Horn, J., Jedanowski, J., Knipschild, J., Luu, A. M., Mohan, P. V., Siemen, L., Slobodkin, I., Strotmann, J. J., Uhl, W., Wolf, K., Coburn, M., Egger, E., Eichhorn, K., Enderes, J., Far, F., Franzen, A., Guresir, E., Hadjiathanasiou, A., Kalff, J. C., Kohistani, Z., Manekeller, S., Mustea, A., Probst, C., Randau, T., Recker, F., Schuss, P., Strassberger-Nerschbach, N., Strieth, S., Treede, H., van Beekum, C. J., Vatter, H., Velten, M., Vilz, T. O., Wirtz, D., Wittmann, M., Behr, M., Bulian, D. R., Marche, B., Moczko, T., Otchwemah, R., Schulz, S. -A., Thomaidis, P., Bruns, C., Cursiefen, C., Domrose, C., Fuchs, H., Heindl, L. M., Mallmann, M. R., Mallmann, C., Ratiu, D. A., Canzler, U., Distler, M., Korn, S., Meisel, C., Meusel, M., Petzold, A., Praetorius, C., von Renesse, J., Weitz, J., Wimberger, P., Alkhanji, N., Fung, S., Jaber, K., Knoefel, W. T., Vay, C., Clonda, O., Cottin, T., Juodiene, E., Juodis, D., Petrovic, B., Solodarenko, O., Binder, J., Grutzmann, R., Hackner, D., Junker, S., Arsalan, M., Banek, S., Chun, F., Faqar-Uz-Zaman, S. F., Keese, D., Kluth, L., Rolle, U., Van Linden, A., Walther, T., Bayer, J., Beck, J., Fung, C., Kraus, L. M., Leiber, C., Neidert, N., Sandkamp, R., Schnell, O., Schulte, A., Strahle, J., Jarmusch, S., Novotny, H. F. G., Becker, J., Fulghum, C., Gonschor, B., Herbolzheimer, M., Nicolaiciuc, S., Trulson, A., Vogelsang, H., Zimmermann, B., Akbari, A. A., Boening, A., Edinger, F., Hecker, M., Knitschke, M., Koch, C., Reichert, M., Schmidt, G., Schneck, E., Uhl, E., Nobrega, S. F., Kauffmann, P., Miller, C., Nemeth, M., Sievers, D., Kisser, U., Kleeff, J., Klose, J., Lorenz, K., Papendick, N., Plontke, S., Seiwerth, I., Steer, S., Thomssen, C., Ukkat, J., Dumpies, C. W., Gessner, M., Hanke, J., Klauke, F., Leuschner, S., Mendel, T., Muller, K., Schmidt, B., Schreiter, V., Stosberg, P., Vinz, F., Herbig, B., Sander, J., Schulte, T. M., Betz, C. S., Bewarder, J., Bier, J., Bottcher, A., Burg, S., Busch, C. -J., Bussmann, L., Gosau, M., Heuer, A., Izbicki, J., Klatte, T. O., Konig, D., Kopke, L. -G., Moeckelmann, N., Praetorius, M., Priemel, M., Stadlhofer, R., Stangenberg, M., Uzunoglu, F. G., Wittig, L., Zech, H., Zeller, N., Roux, F., Spaeth, T., Fricker, R., Muller, T., Schroder, L., Alasmari, M., Boeker, C., Hakami, I. A., Mall, J. W., Kyritsis, I., Graeb, C., Huber-Strossner, K., Branzan, D., Doss, M., Gockel, I., Jodicke, C., Osterhoff, G., Pempe, C., Sucher, R., Adler, T., Kelly, K., Merkle, J., Siebert, J., Hirche, C., Kneser, U., Tapking, C., Agrawal, R., Qureischie, H., Croner, R., Koslowski, L., Krause, H., Meyer, F., Turial, S., Al-Nawas, B., Battista, M. J., Goedeke, J., Hasenburg, A., Heider, J., Mueller, L. K., Zeller, S., Jentschura, S. L. P., Kowalewski, K. -F., Kriegmair, M., Mannle, D., Reissfelder, C., Rotter, N., Scherl, C., Seyfried, S., Kirschniak, A., Rolinger, J., Wilhelm, P., Bader, F. G., Ottl, S., Behr, A. V., Diamantis, A., Fichter, A., Grill, F., Heck, M., Jira, D., Kallmayer, M., Koll, F., Luhne, S., Meyer, B., Patachia, R., Pergolini, I., Safi, S., Schaffer, C., Schirren, M., Wegmann, H., Wirth, M., Zhu, Z., Aghamaliyev, U., Almaghrabi, M., Bocker, W., Bruder, J., Frank, K., Herterich, V., Huber, V., Ilmer, M., Kammerlander, C., Neuerburg, C., von Ehrlich-Treuenstatt, V. H., Werner, J., Borner, N., Fegg, F., Hartmann, D., Ladurner, R., Liokatis, P., Patzer, K., Schlager, J. G., Smolka, W., Zimmermann, P., Hatz, R., Steinhart, D., Glowalla, C., Schneidmueller, D., Henkel, K. W., Steiner, M., Holz, K., Knorr, C., Kuehlmann, B., Oikonomou, K., Prantl, L., Flurschutz, R., Honarpisheh, H., Kroger, M., Lepiorz, D., Luths, C., Niemeier, A., Sras, Y., Strate, T., Winter, T., Freiman, T., Gessler, F., Won, S. -Y., Widyaningsih, R., Hoffmann, S., Schafer, R. C., Thiel, J. T., Bertolani, E., Steidle, C., Uberruck, L., Yurttas, C., Ziegler, P., Zimmermann, A., Bolenz, C., Dayan, D., Greve, J., Hoffmann, T. K., Janni, W., Lobig, N., Schochter, F., Vahl, J. M., Wezel, F., Greif, V., Schmidbauer, S., Marsch, I., Schneider, R., Boenicke, L., Degener, S., Dreger, N. M., Horstmeier, F. C., Kruschwitz, J., Rombach, A., Schmidt, N., Seiberth, R., Singh, J., Smit, M., von Rundstedt, F. -C., Zirngibl, H., Diessner, J., Friedrich, S., Germer, C. -T., Helmer, P., Herrmann, J., Kranke, P., Kubler, H., Lock, J., Lotz, C., Meffert, R., Meybohm, P., Muller, S., Notz, Q., Popp, M., Schlegel, N., Schlesinger, T., Schmid, B., Sitter, M., Steinisch, A., Treutlein, A., van den Berg, A., Wurmb, T. E., Agyeman-Duah, N. K., Appiah, E., Armah, R., Asare, C., Awere-Kyere, L., Daary, D., Gakpetor, D., Allah, S. M., Obbeng, A., Osei-Poku, D., Puozaa, D., Tackie, E., Adu-Aryee, N. A., Agboadoh, N., Asare, O., Bowan, A. B., Brown, G. D., Clegg-Lamptey, J. -N., Dedey, F., Dery, C., Fenu, B. S., Harrison, M. A., Kumassah, P., Kuuzie, E., Nsaful, J., Olayiwola, D. O., Smith, C., Banka, C., Hussey, R., Azize, D. A., Aniakwo, L. A., Adofo-Asamoah, Y., Agbeno, E. K., Agyapong, M. M., Agyen, T., Mensah, K. A., Alhassan, B. A. B., Amoako-Boateng, M., Appiah-Thompson, P., Gyimah, N. A. -M., Asante-Bremang, M., Asante-Asamani, A., Atawurah, H., Appiah, A. B., Baidoo, R. O., Baidoo, E. I., Boakye, B., Boateng, A., Dadoe, D., Dayie, M. S. C. -J. K., Debrah, S., Doku, K., Enti, E., Ken-Amoah, S., Koggoh, P., Kpangkpari, R., Maison, P., Mensah, S., Mensah, P., Mensah, T. A., Morna, M. T., Nimako-Mensah, J., Nkrumah, J., Nortey, M., Ofori, E. O., Opandoh, I. N. M., Osei-Tutu, E., Adae, J. O., Quansah, K., Quartson, E., Rahman, G. A., Walawah, D., Yigah, M., Yussif, S., Jiagge, N., Nachelleh, E., Acquaye, J., Agbedinu, K., Agyei, F., Agyemang-Prempeh, A., Amo-Antwi, K., Amoah, M., Amoah, G., Amoako, Y. A., Aning, D. G., Ankobea-Kokroe, F., Mintah, D. A., Anyitey-Kokor, D., Appiah-kubi, A., Arthur, J., Ativor, V., Barnor, I., Braimah, Y., Darko-Asante, R., Davor, A., Issahalq, M. D., Dzogbefia, M., Emile, T., Fiifi-Yankson, P., Gaveh, V., Gudugbe, S., Gyabaah, S., Gyamfi, F. E., Gyedu, A., Gyimah, D., Hammond, B., Jonathan, B. -Y., Joseph, Y., Konney, T. O., Konney, A., Kusi, K., Kyei, I., Lovi, A., Naabo, N., Nimako, B., Nyadu, B., Nyarko, O. O., Ofosu-Barko, B. B., Oppong, P. P., Osabutey, A., Poku, M., Sagoe, R., Yifieyeh, A., Ansong, G., Abass, A., Abdul-Mumin, A., Adjeso, T., Alatiiga, J. A., Amadu, M., Annan, N., Leal, G. A., Bukari, M., Buunaaim, A., Cheyuo, E., Salifu, L. D., Damah, M., Dery, M., Dzantor, E. K., Garcia, O. G., Baba, Y. I., Issaka, A., Muntaka, A. -J. M., Murphy, J., Agyeman, Y. N., Amankwaa, W. O., Osman, I., Pie, S., Seidu, A. S., Sheriff, M., Charadan, A. M. S., Titigah, A., Yahaya, M., Yakubu, M., Yenli, E. M. T. -A., Grypiotis, I., Kiriakopoulos, N., Koliopoulos, G., Kyvelos, V., Micha, G., Papadopoulou, T., Balalis, D., Fradelos, E., Korkolis, D., Alexakis, N., Angelou, K., Haidopoulos, D., Prodromidou, A., Rodolakis, A., Thomakos, N., Psychogios, D., Antonakis, P., Bramis, K., Chardalias, L., Contis, I., Dafnios, N., Dellaportas, D., Dimitra, P., Fragkoulidis, G., Gkiokas, G., Gklavas, A., Hadjizacharias, T., Karageorgou, D., Konstadoulakis, M., Kontopoulou, C., Massaras, D., Memos, N., Papaconstantinou, I., Politis, D., Polydorou, A., Stamatis, K., Theodosopoulos, T., Vezakis, A., Avgerinos, K., Katunin, J., Kechagias, A., Kelgiorgi, D., Kritikos, N., Pengerma, P., Bisdas, T., Ioannidis, A., Konstantinidis, M., Konstantinidou, S., Patelis, N., Antonopoulou, M. I., Deskou, E., Kalles, V., Manatakis, D. K., Stamos, N., Tasis, N., Arkadopoulos, N., Danias, N., Economopoulou, P., Frountzas, M., Kokoropoulos, P., Michalopoulos, N., Selmani, J., Sidiropoulos, T., Vassiliu, P., Paraskevas, K. I., Bartziotas, D., Bouchagier, K., Galanis, I., Kalamatianos, T., Kapiris, S., Kolinioti, A., Mavrodimitraki, E., Metaxas, P., Nikova, A., Psarologos, M., Sotiropoulou, M., Stranjalis, G., Albanopoulos, K., Kondilis, P., Vrakopoulou, G. Z., Chrysovergis, A., Chrysovitsiotis, G., Giotakis, E., Kanellopoulou, V., Kyrodimos, E., Larentzakis, A., Pantos, P., Papanikolaou, V., Potamianos, S., Theodoropoulos, C., Triantafyllou, A., Triantafyllou, T., Georgousi, K., Panagiotou, P., Avramidis, E., Babis, G., Zafeiris, E., Antoniou, A., Bessias, N., Maras, D., Papas, T., Roditis, K., Tsagkos, I., Tsiantoula, P., Alexandrou, A., Baili, E., Charalabopoulos, A., Dimitroulis, D., Dorovinis, P., Garoufalia, Z., Kanavidis, P., Karavokyros, I., Karydakis, L., Kykalos, S., Kyros, E., Machairas, N., Mastoraki, A., Nikiteas, N., Papalampros, A., Schizas, D., Skotsimara, A., Stamopoulos, P., Syllaios, A., Terras, A., Tomara, N., Tsourouflis, G., Vagios, I., Zografos, C., Apostolou, K., Georgopoulos, N., Antoniou, T., Antzaka, C., Falara, A., Fragoulis, S., Ftikos, P., Matsouka, F., Perreas, K., Rellia, P., Samara, E., Smirli, A., Tasouli, A., Thanopoulos, A., Chalkias, P. L., Dedemadi, G., Mourmouris, P., Skolarikos, A., Theochari, N., Tzelves, L., Gaitanakis, S., Milas, T., Theodorakis, E., Karona, P., Kastanaki, P., Tzouganakis, A., Agalianos, C., Tsouknidas, I., Xenakis, A., Chrysos, E., Lasithiotakis, K., Nikolouzakis, T., Xenaki, S., Xynos, E., Lostoridis, E., Nagorni, E. -A., Pujante, A., Tourountzi, P., Al, A., Baxevanidou, K., Bouliaris, K., Efthimiou, M., Kalfountzos, C., Koukoulis, G., Lachanas, V., Petropoulos, K., Tsitiridis, I., Angelis, F., Arnaoutoglou, E., Baloyiannis, I., Bareka, M., Bouronikou, A., Christodoulidis, G., Daponte, A., Fergadi, M., Gkolias, N., Gkrinia, E., Hajiioannou, J., Kalogritsas, N., Karoni, E., Korais, C., Krestinidis, G., Ktisti, A., Magouliotis, D., Maiou, C., Malizos, K., Minasidou, M., Ntalouka, M., Ntziovara, A. M., Palla, E., Perivoliotis, K., Saini, F., Samara, A., Saratziotis, A., Skoulakis, C., Solomi, E., Stamoulis, K., Terzoudis, C. D., Tsironi, E., Tzovaras, G., Vallianou, K., Zacharoulis, D., Ziogkou, A., Elias, L., Maroulis, I., Mulita, F., Plachouri, K. -M., Vailas, M., Doitsidis, C., Filo, E., Gkalonaki, I., Kogia, E., Kontopoulou, K., Mitroudi, M., Panteli, C., Patoulias, I., Semkoglou, O. I., Sfoungaris, D., Valioulis, I., Astreidis, I., Christidis, P., Ioannidis, O., Loutzidou, L., Mantevas, A., Paraskevopoulos, K., Tatsis, D., Athanasiadis, A., Dagklis, T., Kalogiannidis, I., Kapetanios, G., Mamopoulos, A., Margioula-Siarkou, C., Petousis, S., Tsakiridis, I., Anthoulakis, C., Christou, C., Fantakis, A., Iordanidou, E., Kaselas, C., Panagiotidou, S., Papadopoulos, V., Papavasiliou, K., Piachas, A., Siasios, I., Spyridakis, I., Theodoridis, T., Tooulias, A., Tsiridis, E., Tsopozidi, M., Aleman, M., Brolo, E., Lemus, A. L., Greenberg, J., Chew, K. M. M., Oliva, J. R., Lima, M. A. D. L., Muralles, I. L., Solares, F., Ajcip, G., Anton, C., Cojulun, J., Flores, M. -A., Jose, N., Paiz, C. A. M., Morales, S., Najera, R., Lorenzana, E. Q., Rivera, P., Rodas, L., Santos, V., Sosa, D., Ybarra, N., Cajti, J. D. P., Regil, C., Osorio, W. A., Arriola, R. R., Tale-Rosales, L. -F., Herrera, D., Rodriguez, S. T. T., Villeda, S. A., Anicetti, J., Medina, A. M. L., Ardebol, J., Barillas, K., De Leon, F., Recinos, S., Marroquin-Alpirez, M. -A., Yax, Y., Hon, S., Liu, Y. H., Liu, A. Q., Liu, S., Chiu, H. T. N., Chow, C. M. T., Hau, V., Ip, H. W., Mak, B., Mok, C. Y., Ng, D., Siu, Y. Y. E., Wong, K. F., Pu, J. J., Su, Y. -X., Au-Yeung, K. Y., Chan, D. Y. C., Chan, A., Chan, S. M., Chang, T. C., Chiu, T. W., Chiu, W. K., He, Z., Ho, M. F., Ho, K. K. W., Ho, J. Y. K., Kung, J. W. C., Lam, C. H., Lau, R. W. H., Ling, S. K. K., Lok, H. T., Mak, T. W. C., Ng, C. -F., Ng, S., Ng, K. K. -C., Ng, C. S. H., Ong, M. T. Y., Tan, T., Tang, S. F., Teoh, J. Y. -C., Teoh, A., Tsui, B. S. Y., Wong, G. K. C., Wong, R., Wong, K. C., Yee, C. H., Antal, Z., Kalman, A., Voros, P., Bahrehmand, K., Echim, T., Novak, Z., Sztipits, T., Bihari, L. A., Hidi, L., Piros, L., Rozsa, B., Sotonyi, P., Szatai, L., Herczeg, G., Pordany, B., Tornyi, F., Dede, K., Egyed, T., Saftics, G., Kulcsicka-Gut, J., Sipos, Z., Toth, D., Patel, B., Majmudar, H., Mankad, S., Pathan, S., Sharathkumarkl, L., Sasatti, L., Mahankali, S., Annayappa, S. K. S., Agrawal, T., Anandan, P., Baindur, A., Bd, M., Savitha, C., Anitha, G. S., Harigond, S., Tejeswini, K. K., Kesarla, V., Manangi, M., Hareesh, P. B., Ranjan, J. K. R., Shetty, A., Chikkanayakanahalli, S. S., Sunil, T., Syamala, S., Tharanath, K., Atal, A., Rajagopal, N., Srinath, B. S., Nk, V., Thirumanikandan, P. L., Mishra, N., Shrivastava, S., Wadhwani, R., Ahmad, R., Haq, Z. A., Behera, P., Dhurwe, R., Haq, R., Jain, V., Karna, S., Pushpalatha, K., Raj, S., Santoshi, J. A., Singh, P., Verma, V., Waindeskar, V., Yadav, M. S., Aziz, Z., Chakraborty, K., Chappity, P., Das, G., Datta, D., Jena, S. K., Kar, M., Khuntia, S., Kumar, P., Kumar, R., Kv, A., Mishra, A., Mishra, S., Mittal, Y., Muduly, D., Panda, R., Panigrahi, S., Parija, S., Patra, S., Rout, B., Sahu, R., Sarkar, S., Singh, S., Sudha, S., Sultania, M., Tripathy, S., Varghese, P., Kansay, R., Kaushik, R., Gupta, S. K., Khare, S., Kumar, V., Mohindra, S., Patil, N., Salunke, P., Savlania, A., Singh, K., Pradeep Krishna, R. V., Narasimhan, G., Rela, M., Appukuttan, A., Goudar, S., Mallick, S., Titus, C., Chidambarasamy, E. S., Madhavan, D., Murugesan, A., Narayanasamy, K., Barani Kumar, P. B., Rajan, F., Vijayaragavan, P., Borthakur, B., Chauhan, T. S., Govil, A., Hanjoora, V. M., Srivastava, A., Tiwari, S., Vishwani, V., Pendyala, K. S., Prasad, N., Bothra, J., Deb, M., Herle, K., Jayaram, H., Kannaiyan, L., Krithiga, A., Mukta, W., Nagpal, P., Pathak, P., Banerjee, S., Chaudhary, R., Choudhary, G. R., Chugh, A., Dixit, P., Elhence, A., Gahlot, N., Garg, M., Ghuman, N. K., Jha, D., Kala, P., Kaur, A., Madduri, V., Pandey, H., Pareek, P., Pathak, M., Rathod, K. J., Rodha, M. S., Saxena, R., Sharma, N., Shekhar, S., Singh, M., Suryanarayanan, B., Vishnoi, J. R., Amin, S., Sharma, T., Murugesan, K., Ramasamy, A. B. S., Chatterjee, D., Gerber, C. G., Naskar, U., Aggarwal, G., Agrawal, S. K., Jain, P., Jain, D., Kewlani, V., Pipara, A., Priya, N., Raja, R., Shakya, S., Thambudorai, R., Kharkongor, D., Akhtar, N., Anand, A., Asnani, M., Chaturvedi, A., Chaurasia, A., Enny, L. E., Garg, S., Jaiswal, A. K., Jaiswal, S., Jaware, Y., Kala, N., Karnatak, R., Kumar, U., Shrivastava, A. K., Mehrotra, S., Mishra, B., Namrata, Ojha, B. K., Ozair, A., Pal, U. S., Pandey, A., Raja, N., Ramakant, P., Roy, A., Sachan, R., Sankhwar, S., Sankhwar, P., Sarin, D., Shukla, A., Singh, K. R., Singh, R., Singh, U., Solanki, V., Sonkar, A. A., Srivastava, C., Suryawanshi, P., Tewarson, V., Verma, R., Verma, M. L., Yadav, A., Chand, G., Chanthar, K. M. M. V., Hoysal, D., Batra, N., Bhatti, A., Chopra, R., David, S., Dhar, T., Dutt, U. K., Dutta, R., Gandhi, S., Haque, P. D., Paul Sudhakar John, B., Veetil, S. K., Kaur, G., Kumar, N., Luther, A., Mahajan, A., Mandrelle, K., Mathews, S., Michael, V., Mukherjee, P., Pargal, P., Paul, R., Phillip, A., Phillips, R., Samuel, A., Singh, N., Singh, I., Singh, A., Grewal, S. S., Singhania, A., Thirumalai, S., Varghese, A., Wesley, J., Thomas, J., Zechariah, P., Ifthikar, M. A., Mathew, R. T., Shetty, R., Vijaykumar, M. V., Hameed, B. M. Z., Ibrahim, S., Jyothish, G., Krishna, S., Mathew, S., Kumar, A. S., Sinha, P. K., Sridhar, R., Agarwal, S., Balasubramaniam, S., Chhatrapati, S., Deshpande, C., Dharia, A., Fernandes, S., Gore, M., Jayakumar, A., Mhamane, R., Nirgude, A., Parab, S., Patil, M., Peswani, A., Sahu, A., Samel, S., Shah, F., Haridas, D., Shetty, V., Abraham, B., Agarwal, V., Ahmad, Q., Asari, A., Attar, M. I., Ayyalasomayajula, N. S., Bachawat, S., Bachhav, S., Badhe, V., Badhwar, S., Basa, V. I. K. A. S., Bothara, V., Chattopadhyay, S., Chaudhari, S., Chavan, R., Chawathe, P., Dadhich, S., Dalal, A., Date, A., Deshpande, M., Dev, P., Dongre, N., Doshi, A., Gade, M., Gajjar, S., Gawande, M., Ghalme, A., Ghugare, B., Gupta, I., Jain, M., Jenasamant, S. S., Joshi, V., Kalwadia, N., Kapadia, N., Kattana, H. B. R., Kaushik, T., Kayal, A., Kovale, S., Kulkarni, Y., Kumar, K., Kumawat, K., Lad, V., Maskara, N., Mistry, R., Mohanty, S. R., Motwani, K., Mulchandani, M., Nadkarni, M., Pandey, S., Parab, M., Pardiwala, D., Patkar, A., Pawar, N., Pawar, A., Pednekar, A., Peshattiwar, V., Pokharkar, H., Potdar, O., Pothare, A., Rahmani, F., Rajput, S., Narendra, N. R., Rao, A., Rao, S., Rohela, H., Sakhrekar, R., Salunkhe, D., Sandlas, G., Sarkar, H., Satpathy, A., Sekhar, R., Shelke, Y., Shetty, S. S., Shetye, S., Kulkarni, A. S., Singal, U., Solanki, F., Sonawane, R., Thete, R., Vhatkar, R., Vora, S., Waigankar, S., Wasnik, S., Yadav, M., Yedave, R., Acharya, H., Bangar, A., Bharucha, M., Dhumane, P., Karmarkar, S., Nathani, R., Nehe, A., Nene, A., Noronha, W. J., Palapalle, N., Patel, P., Poyyil, D., Redkar, R., Shah, M., Tewari, S., Bakshi, G., Chaudhari, V., Deshmukh, A., Desoouza, A., Nair, D., Nayak, P., Patkar, S., Puri, A., Qureshi, S., Shetty, P., Shylasree, T., Thakkar, P., Thiagarajan, S., Tiwari, V. K., Voppuru, S. R., Soni, A., Soni, G., Alam, J., Bagaria, D., Bajpai, M., Bisoi, A. K., Chauhan, S., Choudhary, N., Chouhan, R. S., Chumber, S., Farooque, K., Gudala, V., Joshi, M., Kabra, A., Kale, S. S., Kumar, S., Mahajan, D., Malhotra, R., Menon, P. R., Misra, B., Mittal, S., Parshad, R., Priyadarshini, P., Sagar, S., Sharma, P. B., Sharma, V., Trikha, V., Tyagi, M., Bansal, K., Varma, K., Bhardwaj, R., Mittal, A., Ponnusamy, S., Singh, G. R., Tuli, I., Bhor, P., Dhar, S., Kale, S., Aggarwal, M., Gupta, H., Deshpande, A., Gadekar, A., Jaysingani, T., Panjwani, T., Patil, R., Vaidya, N., Vishwakarma, S. K., Wayal, U., Dutta, D., Arora, R., Dhingra, M., Garg, P. K., Huda, F., Kandwal, P., Kant, R., Seenivasagam, R. K., Joshua, L. M., Poonia, D. R., Rajput, D., Sadhasivam, S., Singh, V., Chandanwale, K., Philip, M., Thorat, V., Choudhury, Y., Das, D., Das, M., Goala, S., Laskar, F. Y., Laskar, P., Malik, K., Sarkar, A., Singha, S. T., Singha, M. N., Singha, D., Srungavarapu, G., Tapkire, R., Tling, S., Andrabi, S. M. I., Bhat, G. A., Chowdri, N., Kour, R., Parray, F., Shah, Z. A. M. I. R. A. H. M. A. D., Wani, R., Adamala, S., Gowder, R., Hegde, S., Mashitha, M. S., Sreeram, S., Ankadavar, S., Bafna, D., Dhanani, B., Ingle, N., Jadhao, P., Joseph, S., Kapote, S., Karkada, S., Lad, P., Lohia, R., Madje, S., Narasiman, V., Chisthi, M., George, G., Jothi, H., Pareed, D., Mathew, G. D. C., Abel, L., Agrawal, M., Rabindranath, B., Baldia, M., Barla, R. K., Beck, M., Benjamin, S., Bliss, J., Cherian, L., Devarakonda, S., Ete, G., George, A. J. P., Iovino, Claudio, CovidSurg Collaborarive, Frisoni T., Palmerini E., Donati D., Traina F., Solaini L., Pignatti M., Conti A., Internal Medicine, Collaborative, COVIDSurg, Collaborative, GlobalSurg, Apollo - University of Cambridge Repository, COVIDSurg Collaborative, Li, E, Emanuele Cammarata, Sofia Campanella, Daniela Canzonieri, Adriana Cordova, Federico De Michele, Ettore Dinoto, Mara Franza, Leo Licari, Daniele Matta, Domenico Mirabella, Felice Pecoraro, Roberto Pirrello, Pierfrancesco Pugliese, Fernando Rosatti, Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Vito Chiantera, Leo Licari, Palmisano, Silvia, de Manzini, Nicolo', Collaborative, Covidsurg, Collaborative, Globalsurg, Faculty of Medicine and Pharmacy, Clinical sciences, Medical Oncology, Basic (bio-) Medical Sciences, Diabetes Pathology & Therapy, Gastroenterology, Fruscio, R, Ornaghi, S, Surgical clinical sciences, COVIDSurg Collaborative (GlobalSurg, Collaborative), Beretta, L, and Aldrighetti, L.
Subjects: Male, pulmonary embolism, Internationality, Settore MED/18 - CHIRURGIA GENERALE, Deep vein, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], infectious diseases, Cardiovascular, SARS‐CoV‐2, surgery, COVID-19, SARS-CoV-2, deep vein thrombosis, venous thromboembolism, Cohort Studies, Postoperative Complications, Anesthesiology, Medicine and Health Sciences, Prospective Studies, 610 Medicine & health, Prospective cohort study, Lung, 11 Medical and Health Sciences, Confounding, Hematology, Middle Aged, Thrombosis, 17 Psychology and Cognitive Sciences, Pulmonary embolism, medicine.anatomical_structure, Cohort, COVID-19/complications, Postoperative Complications/etiology, Original Article, Female, Patient Safety, Life Sciences & Biomedicine, Human, Adult, medicine.medical_specialty, Adolescent, Clinical Sciences, GlobalSurg Collaborative, Venous Thromboembolism/etiology, NO, COVIDSurg Collaborative, Young Adult, Medicine, General & Internal, Age Distribution, Clinical Research, COVID‐19, General & Internal Medicine, medicine, Humans, Sex Distribution, Aged, Science & Technology, business.industry, Prevention, Neurosciences, deep vein thrombosi, Pneumonia, Odds ratio, Original Articles, medicine.disease, Surgery, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Prospective Studie, Good Health and Well Being, Anesthesiology and Pain Medicine, Human medicine, Postoperative Complication, Cohort Studie, business, Venous thromboembolism, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: SARS-CoV-2 has been associated with an increased rate of venous thromboembolism in critically ill patients. Since surgical patients are already at higher risk of venous thromboembolism than general populations, this study aimed to determine if patients with peri-operative or prior SARS-CoV-2 were at further increased risk of venous thromboembolism. We conducted a planned sub-study and analysis from an international, multicentre, prospective cohort study of elective and emergency patients undergoing surgery during October 2020. Patients from all surgical specialties were included. The primary outcome measure was venous thromboembolism (pulmonary embolism or deep vein thrombosis) within 30 days of surgery. SARS-CoV-2 diagnosis was defined as peri-operative (7 days before to 30 days after surgery); recent (1-6 weeks before surgery); previous (≥7 weeks before surgery); or none. Information on prophylaxis regimens or pre-operative anti-coagulation for baseline comorbidities was not available. Postoperative venous thromboembolism rate was 0.5% (666/123,591) in patients without SARS-CoV-2; 2.2% (50/2317) in patients with peri-operative SARS-CoV-2; 1.6% (15/953) in patients with recent SARS-CoV-2; and 1.0% (11/1148) in patients with previous SARS-CoV-2. After adjustment for confounding factors, patients with peri-operative (adjusted odds ratio 1.5 (95%CI 1.1-2.0)) and recent SARS-CoV-2 (1.9 (95%CI 1.2-3.3)) remained at higher risk of venous thromboembolism, with a borderline finding in previous SARS-CoV-2 (1.7 (95%CI 0.9-3.0)). Overall, venous thromboembolism was independently associated with 30-day mortality (5.4 (95%CI 4.3-6.7)). In patients with SARS-CoV-2, mortality without venous thromboembolism was 7.4% (319/4342) and with venous thromboembolism was 40.8% (31/76). Patients undergoing surgery with peri-operative or recent SARS-CoV-2 appear to be at increased risk of postoperative venous thromboembolism compared with patients with no history of SARS-CoV-2 infection. Optimal venous thromboembolism prophylaxis and treatment are unknown in this cohort of patients, and these data should be interpreted accordingly. ispartof: ANAESTHESIA vol:77 issue:1 pages:28-39 ispartof: location:England status: published
Published: 2022

9. Effectiveness of applying clinical simulation scenarios and integrating information technology in medical-surgical nursing and critical nursing courses

Author: Li-Ping Tseng, Yang-Kun Ou, Li-Ping Huang, and Tung-Hsu Hou
Subjects: Medical-surgical nursing, Surgical nursing, business.industry, Innovative nursing teaching, Nursing research, Research, education, Situational awareness (SA), RT1-120, Nursing, Blended learning, Formative assessment, Summative assessment, Internship, Objective structured clinical examination (OSCE), ComputingMilieux_COMPUTERSANDEDUCATION, Medicine, Information technology integrated instruction (ITII), Nursing management, business, Clinical simulation scenario, General Nursing
Abstract: BackgroundTo determine the impact of combining clinical simulation scenario training and Information Technology Integrated Instruction (ITII) on the teaching of nursing skills.Methods120 4th-year students in a nursing program who were enrolled in medical and surgical nursing courses. 61 received innovative instruction (experimental group) and 59 received conventional instruction (control group). The ADDIE model, systematic method of course development that includes analysis, design, development, implementation, and evaluation,was used to build simulation teaching and clinical scenarios and to create and modify objective structure clinical examination (OSCE) scenario checklists for acute myocardial infarction (AMI) care, basic life support and operation of automated external defibrillator (BLS), and subdural hemorrhage (SDH) care. The modified OSCE checklists were assessed for reliability, consistency, and validity. The innovative training included flipped classrooms, clinical simulation scenarios, ITII and blended learning formats.ResultsThe reliability and validity of the OSCE checklists developed in this study were acceptable and comparable or higher than checklists in past studies and could be utilized as an OSCE performance tool. Students in innovative instruction obtained significantly better OSCE performance, lab scores and improvements from the previous year’s grades. Significant differences were found in situational awareness (SA). No strong correlations were found between OSCE scores and clinical internship scores, and no significant differences were found between the groups in overall clinical internship performance.ConclusionsInnovative instruction showed better performance than conventional methods in summative evaluation of knowledge components, OSCE formative evaluation and clinical nursing internship scores, as well as improved situational awareness in nursing students.
Published: 2021

10. Neuroimaging risk factors for participation restriction after acute ischemic stroke: 1-year follow-up study

Author: Huo-Hua Zhong, Wen-Cong Liang, Jian-Feng Qu, Wei Li, Yang-Kun Chen, and Yong-Lin Liu
Subjects: Male, medicine.medical_specialty, Activities of daily living, Neuroimaging, Logistic regression, Severity of Illness Index, General Biochemistry, Genetics and Molecular Biology, Modified Rankin Scale, Risk Factors, Internal medicine, Activities of Daily Living, medicine, Humans, cardiovascular diseases, Stroke, Ischemic Stroke, Univariate analysis, business.industry, Stroke Rehabilitation, Atrial fibrillation, General Medicine, medicine.disease, Hyperintensity, Female, business, Follow-Up Studies
Abstract: The aim of the present study was to determine the neuroimaging predictors of poor participation after acute ischemic stroke. A total of 443 patients who had acute ischemic stroke were assessed. At 1-year recovery, the Reintegration to Normal Living Index was used to assess participation restriction. We also assessed the Activities of Daily Living Scale and modified Rankin Scale (mRS) score. Brain MRI measurement included acute infarcts and pre-existing abnormalities such as enlarged perivascular spaces, white matter lesions, ventricular-brain ratio, and medial temporal lobe atrophy (MTLA). The study included 324 men (73.1%) and 119 women (26.9%). In the univariate analysis, patients with poor participation after 1 year were older, more likely to be men, had higher National Institutes of Health Stroke Scale (NIHSS) score on admission, with more histories of hypertension and atrial fibrillation, larger infarct volume, more severely enlarged perivascular spaces and MTLA, and more severe periventricular hyperintensities and deep white matter hyperintensities. Patients with participation restriction also had poor activities of daily living (ADL) and mRS score. Multiple logistic regression showed that, in model 1, age, male gender, NIHSS score on admission, and ADL on follow-up were significant predictors of poor participation, accounting for 60.2% of the variance. In model 2, which included both clinical and MRI variables, male gender, NIHSS score on admission, ADL on follow-up, and MTLA were significant predictors of poor participation, accounting for 61.2% of the variance. Participation restriction was common after acute ischemic stroke despite good mRS score. Male gender, stroke severity, severity of ADL on follow-up, and MTLA may be predictors of poor participation. Trial registration number ChiCTR1800016665.
Published: 2021

11. An Interactive Modular System and Interface for Laerdal Little Anne™ Manikin in CPR Training

Author: T.-H. Lin, Wan-Jung Chang, and Yang-Kun Ou
Subjects: Computer science, business.industry, visual_art, Interface (computing), Modular system, Electronic component, visual_art.visual_art_medium, Modular design, business, Cpr training, Simulation
Abstract: We have developed an interactive CPR training system in which modular electronic components are placed inside Laerdal Little Anne™ manikin to generate and analyze data, in turn to provide CPR training feedback via a pictorial interface.
Published: 2021

12. A Broadband Pyramidal Horn Antenna Applied to Multi-mode Multiplexing

Author: Yongjiu Zhao, Hong-Wei Deng, Yang-Kun Han, and Han Wei
Subjects: Physics, Waveguide (electromagnetism), Optics, Horn antenna, Transmission (telecommunications), business.industry, Horn (acoustic), Broadband, Return loss, Center frequency, business, Multiplexing
Abstract: A new design of a broadband pyramidal horn antenna is realized, which can be applied to multi-mode multiplexing. To achieve the purpose of multimode radiation, a four-port coaxial-line adaptor has been designed to allow for the transmission of signals of required modes TE 10 , TE 01 , TEn and TM 11 ). In addition, two circularly polarized waves with different rotation directions can be obtained by combining TE 10 and TE 01 on this basis. By controlling the amplitudes and phases of the signals from four feeding ports, the distribution of the fields in the waveguide will also be changed accordingly. The waveguide modes will be converted into radiation modes through the horn face. As a result, six different radiation patterns are acquired. The simulated results show that the simulated 10 dB return loss bandwidth is approximately 31.6% (ranging from 10.25 to 14.09 GHz, center frequency is 12. 17GHz), and the isolation is less than -20dB. The return loss coefficients of the six different modes also meet the requirements (less than -10dB) between 10.86 and 13.64 GHz.
Published: 2021

13. Cortical Venous Changes on Susceptibility-Weighted Imaging Predict the Cerebral Collateral Circulation as Confirmed by Digital Subtraction Angiography

Author: Wei-Min Xiao, Cai-Qin Xie, Yong-Lin Liu, Wei-Dong Hu, Zhi-Qiang Wu, Yun-Hao Zhan, Gen-Pei Luo, Run-Xiong Li, and Yang-Kun Chen
Subjects: susceptibility weighted imaging, acute ischemic stroke, viruses, digital subtraction angiography, Occlusion, medicine, collateral circulation, RC346-429, skin and connective tissue diseases, Stroke, Original Research, medicine.diagnostic_test, business.industry, virus diseases, Magnetic resonance imaging, Digital subtraction angiography, asymmetrical cortical vessel sign, Cortical Vein, medicine.disease, Collateral circulation, Neurology, Susceptibility weighted imaging, Neurology (clinical), Neurology. Diseases of the nervous system, business, Nuclear medicine, Perfusion
Abstract: Objective: Asymmetrical cortical vein sign (ACVS) shown on susceptibility-weighted imaging (SWI) can reflect regional hypoperfusion. We investigated if ACVS could predict the cerebral collateral circulation (CC) as assessed by digital subtraction angiography (DSA) in acute ischemic stroke patients with ipsilateral severe stenosis/occlusion of the anterior circulation.Methods: Clinical data and imaging data of 62 acute ischemic stroke patients with ipsilateral severe stenosis or occlusion of the anterior circulation confirmed by DSA were collected retrospectively. Participants underwent magnetic resonance imaging, including an SWI sequence. ACVS was defined as more and/or larger venous signals in the cerebral cortex of one side of SWI than that in the contralateral side. ACVS was measured using the Alberta Stroke Program Early Computed Tomography score based on SWI. The grading of the cerebral CC was judged using DSA.Results: Of the 62 patients, 30 patients (48.4%) had moderate-to-severe ACVS. According to DSA assessment, 19 patients (30.6%) had a good CC (grade 3–4), and 43 (69.4%) patients had a poor-to-moderate CC (grade 0–2). Among the 30 patients with moderate-to-severe ACVS, only three (10%) patients had a good CC, and 27 (90%) patients had a poor-to-moderate CC; among the 32 patients with none or mild ACVS, 16 (50%) of them had a good CC, and the other 50% had a moderate-to-severe CC. We constructed two logistic regression models with ACVS grading and none or mild ACVS entered into the models, respectively, together with age and large-artery occlusion. In model 1, no ACVS (compared with severe ACVS; OR = 40.329, 95%CI = 2.817–577.422, P = 0.006), mild ACVS (compared with severe ACVS; OR = 17.186, 1.735–170.224, 0.015) and large-artery occlusion (OR = 45.645, 4.603–452.592, 0.001) correlated with a good CC. In model 2, none or mild ACVS (OR = 36.848, 95%CI = 5.516–246.171, P < 0.001) was significantly associated with a good CC as judged by DSA, adjusted by age and large-artery occlusion.Conclusions: Cortical venous changes in SWI may be a useful indicator for the cerebral CC as confirmed by DSA.
Published: 2021

14. Effects Of Early-Stage Blood Pressure Variability On The Functional Outcome In Acute Ischemic Stroke Patients With Symptomatic Intracranial Arterial Stenosis Or Occlusion Receiving Intravenous Thrombolysis

Author: Yang-Kun Chen, Mian-Xuan Yao, Yong-Lin Liu, Jiang-Hao Zhao, Dong-Hai Qiu, and Han-Peng Yin
Subjects: medicine.medical_specialty, business.industry, Arterial stenosis, medicine.medical_treatment, Thrombolysis, Text mining, Blood pressure, Internal medicine, Occlusion, medicine, Cardiology, Stage (cooking), business, Acute ischemic stroke
Abstract: Background: Studies exploring on the relationship between blood pressure fluctuations and outcome in acute ischemic stroke (AIS) patients treated with intravenous thrombolysis (IVT) are limited. We aimed to investigate the influence of blood pressure variability (BPV) during the first 24 hours after IVT on neurological deterioration (END) and 3-month outcome after IVT in patients with symptomatic intracranial arterial stenosis or occlusion (SIASO).Methods: Clinical data from consecutive AIS patients with SIASO who received IVT were retrospectively analyzed. The hourly systolic BP of all patients were recorded during the first 24 hours following IVT. We calculated three syslolic BPV parameters including coefficient of variability (CV), standard deviation of mean BP (SD) and successive variation (SV). The SV was categorized into four grades based on quartiles. The END was defined as neurological deterioration with an increase in the National Institutes of Health Stroke Scale (NIHSS) score ≥ 4 points within the first 72 hours after admission. Follow-ups was performed at 90 days after onset were performed, and favorable and poor outcome were defined as a modified Rankin Scale scores of ≤1 or ≥2, respectively.Results: A total of 110 patients were included, with a mean age of 62.0 ± 12.5 years. 86 patients (78.2%) were male. Twenty patients (18.2%) experienced END, and 37 patients (33.6%) had a favorable outcome. Compared with patients with in the poor outcome group, age ([64.8 ± 10.9] vs [56.7 ± 13.8]), NIHSS on admission (11.0 [7.0 -16.0] vs 6.0 [3.5 - 9.0]), SV ([14.5 ± 4.3] vs [11.8 ± 3.2]) and SD ([12.7 ± 3.8] vs [10.9 ± 3.3]) were lower in the favorable outcome group (all p < 0.05). No BPV parameters were associated with END. In the multivariable logistic regression analysis, compared with the lowest SV (SV50%-75% (odds rato [OR] = 4.449, 95% confidence interval [CI] = 1.231-16.075, p = 0.023) and SV>75% (OR = 8.676, 95% CI = 1.892-39.775, p = 0.005) were significantly associated with poor outcome at 3 months. Conclusions: SV had a negative relationship with the 3-month outcome in AIS patients with SIASO treated with IVT, indicating that BPV may affect the outcome of AIS.
Published: 2021

15. Severity of Lesions Involving the Cortical Cholinergic Pathways May Be Associated With Cognitive Impairment in Subacute Ischemic Stroke

Author: Yang-Kun Chen, Zhi-Qiang Wu, Jian-Feng Qu, Dong-Hai Qiu, Wei-Min Xiao, Huo-Hua Zhong, Yong-Lin Liu, and Wen-Cong Liang
Subjects: 0301 basic medicine, medicine.medical_specialty, brain MRI, cortical cholinergic pathways, 03 medical and health sciences, 0302 clinical medicine, Informant Questionnaire on Cognitive Decline in the Elderly, Internal medicine, Medicine, Dementia, Vascular dementia, RC346-429, Stroke, Depression (differential diagnoses), Original Research, cognitive impairment, business.industry, white matter lesions, Neuropsychology, medicine.disease, stroke, Hyperintensity, 030104 developmental biology, Neurology, Neurology. Diseases of the nervous system, Neurology (clinical), Verbal memory, business, 030217 neurology & neurosurgery
Abstract: Purpose: Impairment of cortical cholinergic pathways (CCP) is an important risk factor for chronic vascular cognitive impairment. However, this phenomenon has rarely been studied in post-stroke cognitive impairment (PSCI). We investigated the relationship between PSCI and CCP lesions assessed by structural magnetic resonance imaging (MRI).Patients and methods: We prospectively enrolled 103 patients within 7 days of ischemic stroke onset. CCP was measured by the cholinergic pathways hyperintensities scale (CHIPS), which semiquantitatively grades MR lesions strategically located on the CCP identified in human brains. We also measured other MRI parameters, including the location and volumes of acute infarcts, cerebral microbleeds, medial temporal lobe atrophy, and white matter lesions. Neuropsychological assessments were performed using the 60-min modified vascular dementia battery (VDB) at 3 months after the index stroke, and PSCI was defined according to VDB as well as ADL.Results: Of all 103 patients, 69 men (67.0%) and 34 women (33.0%) with a mean age of 57.22 ± 12.95 years, 55 patients (53.4%) were judged to have PSCI at 3 months, including 43 (41.7%) patients with PSCI-no dementia and 12 (11.7%) patients with poststroke dementia. According to the VBD assessment, the most commonly impaired cognitive domain was visuomotor speed (27.2%) followed by verbal memory (25.2%). Univariate analysis showed that patients with PSCI were older; had higher informant questionnaire on cognitive decline in the elderly (IQCODE) scores; had more frequent previous stroke history and atrial fibrillation; and had higher CHIPS scores, more severe white matter lesions, and medial temporal lobe atrophy. PSCI patients also had higher depression scores at 3 months. In the multivariate regression analysis, age, IQCODE score, CHIPS score, and Hamilton depression rating scale score were independent predictors of PSCI. Ordinal regression analysis for risk factors of poor functional outcomes revealed that IQCODE scores and cognitive function status were related to mRS score at 3 months after stroke.Conclusion: In patients with early subacute ischemic stroke, the severity of lesions involving the CCP may be associated with cognitive impairment at 3 months.Clinical Trial Registration: Chinese Clinical Trial Registry, identifier: ChiCTR1800014982.
Published: 2021
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16. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

Author: Ruan, Qiurong, Yang, Kun, Wang, Wenxia, Jiang, Lingyu, and Song, Jianxin
Subjects: 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Medicine, Critical Care and Intensive Care Medicine, Risk assessment, business, China, Demography
Published: 2020

17. Preexisting Cerebral Abnormalities and Functional Outcomes After Acute Ischemic Stroke

Author: Yang-Kun Chen, Jian-Feng Qu, Huo-Hua Zhong, Zhi-Hao Lu, and Wei Li
Subjects: Adult, Male, medicine.medical_specialty, Infarction, 030204 cardiovascular system & hematology, Brain Ischemia, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, medicine, Brain mri, Humans, In patient, cardiovascular diseases, Cerebrum, Acute ischemic stroke, Aged, Aged, 80 and over, business.industry, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Stroke, Psychiatry and Mental health, Cardiology, Female, Functional status, Neurology (clinical), Geriatrics and Gerontology, business, 030217 neurology & neurosurgery
Abstract: Purpose: The aim of this study was to investigate the association between preexisting cerebral abnormalities in patients with acute ischemic stroke upon their functional outcomes. Methods: We recruited 272 patients with first-ever acute ischemic stroke. Cerebral abnormalities on magnetic resonance imaging included infarction, silent brain infarcts (SBI), enlarged perivascular spaces, white matter lesions (WMLs), global brain atrophy, and medial temporal lobe atrophy (MTLA). Functional outcomes were assessed using the instrumental activities of daily living (IADL) scale and basic activities of daily living (BADL) scale, at 3 and 6 months after the index stroke. Results: Two hundred and fifty patients completed the 3-month follow-up and 246 patients completed the 6-month follow-up. Univariate analyses showed that patients with poor IADL and BADL were older, more likely to be men, had higher National Institutes of Health Stroke Scale (NIHSS) score on admission, more frequent atrial fibrillation, and large artery atherosclerosis subtypes. They also had more frequent cortical infarcts, subcortical infarcts, infratentorial infarcts, larger infarct volume, more frequent presence of SBI, severe WMLs, and MTLA. In multiple regression analyses, NIHSS on admission, subcortical region infarct and MTLA were significant predictors of poor IADL at 3 months. National Institutes of Health Stroke Scale on admission, SBI and MTLA were significant predictors of poor IADL at 6 months. National Institutes of Health Stroke Scale on admission and MTLA were significant predictors of poor BADL at 3 months. National Institutes of Health Stroke Scale on admission and SBI were significant predictors of poor BADL at 6 months. Conclusions: In patients with acute ischemic stroke, the presence of SBI, and severe MTLA represent significant predictors of poorer functional outcomes, thus highlighting the importance of preexisting cerebral abnormalities.
Published: 2019

18. Registration of ‘YZ081609’ Sugarcane

Author: Zhao Jun, Peifang Zhao, Yang Kun, Jun Li, Chen Xuekuan, Jiayong Liu, Qin Wei, Xia Hongming, Hong C. Yang, Zhao Liping, Yao Li, Caiwen Wu, Zan Fenggang, and Zhuandi Wu
Subjects: business.industry, Genetics, Biology, business, Agronomy and Crop Science, Biotechnology
Published: 2019

19. Clinical characteristics and magnetic resonance imaging findings in nine patients with nonalcoholic Wernicke’s encephalopathy: a retrospective study

Author: Man-Qiu Liang, Ya-Zhi Wang, Wei-Min Xiao, Yong-Lin Liu, Jian-Feng Qu, Yang-Kun Chen, and Zhi-Qiang Wu
Subjects: medicine.medical_specialty, fasting, Mammillary body, Encephalopathy, Neurological disorder, Wernicke's encephalopathy, White matter, thiamine, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, medicine, magnetic resonance imaging, Original Research, medicine.diagnostic_test, alcoholism, business.industry, Wernicke’s encephalopathy, altered mental status, Magnetic resonance imaging, Retrospective cohort study, medicine.disease, 030227 psychiatry, medicine.anatomical_structure, Radiology, business, 030217 neurology & neurosurgery
Abstract: Purpose Wernicke’s encephalopathy (WE) is a severe neurological disorder caused by thiamine deficiency. The most common cause of WE is alcoholism. However, there is a significant paucity of information in the existing literature relating to nonalcoholic WE. In this study, we investigated the clinical characteristics and neuroimaging findings of nine patients with nonalcoholic WE. Patients and methods We retrospectively collated clinical data from nine patients who had been diagnosed with WE in accordance with established criteria including age, gender, risk factors and clinical manifestations. We also collated initial hematological and neuroimaging findings. Results The mean age of the nine patients was 54.0±17.1 years; four of these patients (44.4%) were male. All nine patients had a history of fasting (range, 5–47 days) prior to WE. Four of the nine patients (44.4%) exhibited the classical triad, and eight (88.9%) showed alterations in mental status. Magnetic resonance imaging (MRI) scans showed that all nine patients had symmetric lesions of the medial thalamus. MRI also revealed other WE-related lesions in mammillary bodies (22.2%), the periaqueductal region (55.6%), the tectal plate of the midbrain (77.8%), cranial nerve nuclei (77.8%) and in the symmetric subcortical white matter (11.1%). Conclusion Our analysis showed that fasting is a common cause of WE in nonalcoholic patients and that MRI is a useful tool for the diagnosis of WE. The most common MRI findings were symmetrical lesions of the medial thalamus lesions, followed by the tectal plate of the midbrain and cranial nerve nuclei.
Published: 2019

20. Life cycle evaluation of greenhouse gas emissions of a highway tunnel: A case study in China

Author: Zhang Zhenhua, Chen Xiaofeng, Jixuan Liao, Xiong Guo, Yang Kun, Mingnian Wang, Chun Guo, Xin Zheng, Jianfeng Xu, and Yang Lu
Subjects: Renewable Energy, Sustainability and the Environment, business.industry, 020209 energy, Strategy and Management, 05 social sciences, Environmental engineering, 02 engineering and technology, Maintenance stage, Industrial and Manufacturing Engineering, Work (electrical), Asphalt, Greenhouse gas, 050501 criminology, 0202 electrical engineering, electronic engineering, information engineering, Environmental science, Electricity, Rock mass classification, China, business, Life-cycle assessment, 0505 law, General Environmental Science
Abstract: The purpose of this paper is to evaluate greenhouse gas (GHG) emissions of a Chinese highway tunnel in the life cycle. Life cycle assessment (LCA) method is adopted in the paper. Based on rock mass classification and pavement categories, five different functional units have been proposed for the first time. The system boundaries, processes and assumptions are defined. The study results indicate: 1) the GHG emissions of a double-track four-lane Chinese highway tunnel in 100 years can be up to 375.5 thousand tons of CO2 eq. Cement and electricity contribute to more than 80% of the total emissions in all functional units. 2) The construction stage, operation stage and maintenance stage emit 30.89%, 56.12% and 12.99% of the total GHG respectively. During the construction stage, casting and lining, rock support and road work are the top three GHG emission processes. 3) Rock conditions are discovered to be an important factor of affecting GHG emissions in tunnels. The GHG emissions of the 1-m Chinese highway tunnel are between 82 t to 113 t CO2 eq. With the increase of rock mass grades, GHG emissions rapidly rise if the pavement design stays the same. The emission differences among the functional units are mainly from materials. 4) Asphalt pavements tend to generate more GHG emissions than concrete pavement due to the more frequent replacements of asphalt pavements. This paper investigates the influences of rock conditions and pavement types on the GHG emissions of Chinese tunnels in the life cycle, which can provide a scientific reference for policy making of the Chinese government.
Published: 2019

21. Intelligent Management of Secondary Water Supply Systems in Downtown Shanghai

Author: Geng Bing, Shu Shihu, Liu Xinyue, Tingting Wang, and Yang Kun
Subjects: Computer science, Downtown, business.industry, Information technology, Water supply, Context (language use), Environmental economics, Residual chlorine, General Earth and Planetary Sciences, Water quality, business, Water use, Intelligent management, General Environmental Science
Abstract: Secondary water supply, as the final component of the urban water supply system, is critical for ensuring the safety of urban water supply, and is directly related to customers’ water use. However, water stored in secondary water supply facilities will more likely to lose disinfectants (chlorine residual) which can lead to bacterial regrowth and water quality deterioration. Therefore, it is important to solve problems associated with secondary water supply and manage the system more effectively. In the context of the Internet of Things, the intelligent management model based on information technology has become the growing trend. This paper introduces the application of the secondary water supply intelligent management model in Shanghai.
Published: 2019

22. Severe Lesions Involving Cortical Cholinergic Pathways Predict Poorer Functional Outcome in Acute Ischemic Stroke

Author: Huo-Hua Zhong, Gen-Pei Luo, Yang-Kun Chen, Han-Peng Yin, Jiang-Hao Zhao, and Jian-Feng Qu
Subjects: Male, 0301 basic medicine, medicine.medical_specialty, Original Contributions, Clinical Sciences, infarction, Infarction, Severity of Illness Index, Brain ischemia, Lesion, 03 medical and health sciences, 0302 clinical medicine, Modified Rankin Scale, Internal medicine, Activities of Daily Living, Neural Pathways, medicine, Humans, cardiovascular diseases, Stroke, Aged, Cerebral Cortex, Advanced and Specialized Nursing, Univariate analysis, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Middle Aged, Prognosis, medicine.disease, stroke, Magnetic Resonance Imaging, White Matter, brain ischemia, Temporal Lobe, Hyperintensity, 030104 developmental biology, Basal Nucleus of Meynert, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Cardiology, Female, Neurology (clinical), medicine.symptom, Cardiology and Cardiovascular Medicine, business, 030217 neurology & neurosurgery
Abstract: Supplemental Digital Content is available in the text., Background and Purpose— The aim of the study was to assess the effect of lesion severity in cortical cholinergic pathways in acute ischemic stroke patients on functional outcomes. Methods— The study sample consisted of 214 men (70.9%) and 88 women (29.1%) with acute ischemic stroke. We used the Cholinergic Pathways Hyperintensities Scale (CHIPS) to assess the severity of lesions in cortical cholinergic pathways using brain magnetic resonance imaging. The other magnetic resonance imaging parameters included infarction, white matter lesions, and medial temporal lobe atrophy. Functional outcome was assessed using the Lawton activities of daily living (ADL) scale at 3 and 6 months after the index stroke. We also assessed disability status using the modified Rankin Scale. Results— Univariate analysis showed that patients with poor functional outcomes were older, more likely to be men, had a higher National Institutes of Health Stroke Scale (NIHSS) score on admission, and had more frequent histories of previous stroke and infection complications. They also had significantly more frequent cortical infarcts, left subcortical infarcts, a larger infarct volume, more severe medial temporal lobe atrophy, and periventricular hyperintensities, and higher CHIPS scores. In the multiple regression analysis, model 1 showed that age and NIHSS score on admission were significant predictors of poor ADL at 3 months, with an R2 of 45.4% fitting the model. Age, NIHSS score on admission and stroke subtype were also significant predictors of poor ADL at 6 months, with an R2 of 37.9% fitting the model. In model 2, sex, previous stroke, NIHSS score on admission, right cortical infarcts, left subcortical infarcts and CHIPS score were significant predictors for poor ADL at 3 months, with an R2 of 53.5%. NIHSS score on admission, stroke subtype, and CHIPS score were significant predictors for poor ADL at 6 months, with an R2 of 40.2%. After adjustment for confounders, CHIPS score was also a significant predictor for poor modified Rankin Scale, both at 3 and 6 months. Even after removing patients with moderate-to-severe white matter lesions, higher CHIPS scores still correlated with poorer ADL and modified Rankin Scale both at both 3 and 6 months. Conclusions— In patients with acute ischemic stroke, cortical cholinergic pathways impairment is common, and the severity of lesions in the cortical cholinergic pathways may significantly predict a poorer functional outcome. Clinical Trial Registration— URL: http://www.chictr.org.cn/index.aspx. Unique identifier: ChiCTR1800014982.
Published: 2018

23. Hierarchical Self-Assembly of Organic Core/Multi-Shell Microwires for Trichromatic White-Light Sources

Author: Guang-Peng He, Song Chen, Ming-Peng Zhuo, Yang-Kun Qu, Hao Liu, Yi-Chen Tao, Liang-Sheng Liao, Yi Yuan, Yang Su, and Xue-Dong Wang
Subjects: Nanostructure, Materials science, business.industry, Mechanical Engineering, Shell (structure), Heterojunction, Organic semiconductor, Core (optical fiber), Mechanics of Materials, Molecule, Optoelectronics, General Materials Science, Self-assembly, business, Microscale chemistry
Abstract: White-light-emissive organic micro/nanostructures hold exotic potential applications in full-color displays, on-chip wavelength-division multiplexing, and backlights of portable display devices, but are rarely realized in organic core/shell heterostructures. Herein, through regulating the noncovalent interactions between organic semiconductor molecules, a hierarchical self-assembly approach of horizontal epitaxial-growth is demonstrated for the fine synthesis of organic core/mono-shell microwires with multicolor emission (red-green, red-blue, and green-blue) and especially organic core/double-shell microwires with radial red-green-blue (RGB) emission, whose components are dibenzo[g,p]chrysene (DgpC)-based charge-transfer (CT) complexes. In fact, the desired lattice mismatching (≈2%) and the excellent structure compatibility of these CT complexes facilitate the epitaxial-growth process for the facile synthesis of organic core/shell microwires. With the RGB-emissive substructures, these core/double-shell organic microwires are microscale white-light sources (CIE [0.34, 0.36]). Besides, the white-emissive core/double-shell microwires demonstrate the fascinating full-spectrum light transportation from 400 to 700 nm. This work indeed opens up a novel avenue for the accurate construction of organic core/shell heterostructures, which provides an attractive platform for the organic integrated optoelectronics.
Published: 2021

24. A Bed-Exit and Bedside Fall Warning System Based on Deep Learning Edge Computing Techniques

Author: Liang-Bi Chen, Wan-Jung Chang, Aaron Raymond See, Yang-Kun Ou, and Tzu-Chin Yang
Subjects: Warning system, business.industry, Computer science, Deep learning, Notification system, medicine.disease, Aged patients, Falling (accident), medicine, Systems architecture, Medical emergency, Artificial intelligence, medicine.symptom, Internet of Things, business, Edge computing
Abstract: According to the hospital's old adult wards' clinical needs, we propose a deep learning edge computing-based two-stage early bed-exit warning and bedside fall notification system for aged patients with a high risk of falls. The proposed system can effectively help the hospital reduce bed fall incidence and increase bed-exit and bedside fall notification rates. As a result, the rate of injury from falling bed-exit can be reduced.
Published: 2021

25. Effects of different takeover request interfaces on takeover behavior and performance during conditionally automated driving

Author: Chen-Wen Fang, Wan-Xuan Huang, and Yang-Kun Ou
Subjects: Focus (computing), Automobile Driving, Computer science, business.industry, Process (engineering), Interface (computing), Control (management), Public Health, Environmental and Occupational Health, Automotive industry, Accidents, Traffic, Human Factors and Ergonomics, Task (computing), Automation, Human–computer interaction, Distraction, Task analysis, Humans, Smartphone, Safety, Risk, Reliability and Quality, business, Automobiles
Abstract: Automated driving is a developing trend that is coming to the consumer market, and conditionally automated driving (CAD) is anticipated to become the primary automated driving system. For enhancing both the comfort and security of human drivers in self-driving cars, the most significant concern of CAD is ensuring that not only can the driver conduct non-driving related tasks (NDRT) while automated driving is in progress, but also quickly and competently take over when the system reaches a limit and issues a takeover request (TOR). However, the level of distraction by NDRTs may affect the transition from automated driving to the human driver taking over. The focus of the present study was allowing a driver immersed in NDRTs to discover the TOR and take control of the driving quickly. A 3×2×2 factor experimental design was used: vehicle display interface information load (basic vs. prediction vs. advanced prediction interfaces); TOR information load (directional vs. non-directional information notifications); and degree of NDRT immersion (not performing vs. performing an NDRT when TOR prompt was issued). 48 participants were recruited, and different automotive display interfaces were used as TOR prompts with different information loads during driving to analyze the takeover behavior, performance, and subjective perception of the drivers, who were immersed in a smartphone-related task. The takeover process out of NDRT immersion was found to be more efficient with the advanced prediction interface, compared to the other two interfaces. All groups achieved faster takeovers and demonstrated better takeover performance if given directional rather than non-directional information, regardless of interface type or NDRT immersion.
Published: 2021

26. iBuffet: A Deep Learning-Based Intelligent Calories Management System for Eating Buffet Meals

Author: Liang-Bi Chen, Yin-Hsin Tsai, Jia-Hong Liu, Yang-Kun Ou, Bo-Yang Shen, I-Chen Lin, and Wan-Jung Chang
Subjects: Calorie, Multimedia, Computer science, business.industry, Deep learning, 020206 networking & telecommunications, Cloud computing, 02 engineering and technology, computer.software_genre, Management system, 0202 electrical engineering, electronic engineering, information engineering, Table (database), Artificial intelligence, Internet of Things, business, Mobile device, computer
Abstract: In this paper, we propose a deep learning-based intelligent calorie management system, named iBuffet, in which deep learning and IoT technologies are integrated for calorie management. The proposed iBuffet system comprises intelligent buffet table modules, a mobile device application, and a cloud-based platform. The purpose of the proposed iBuffet system is to improve the eating health of institutional personnel. By recording daily meal records and management to improve the health of institutional personnel. Moreover, the related information will be sent to the cloud-based platform to calculate a calorie value, allowing users to manage their health.
Published: 2021

27. Correction: Genetic analysis of agronomic traits in elite sugarcane (Saccharum spp.) germplasm

Author: Yang Kun, Caiwen Wu, Chen Xuekuan, Zhao Jun, Zhao Liping, Zan Fenggang, Qin Wei, Zhao Yong, Jiayong Liu, Xia Hongming, Zhuandi Wu, Peifang Zhao, Xiping Yang, Zhang Yuebin, and Yao Li
Subjects: Germplasm, Multidisciplinary, business.industry, Science, Biology, biology.organism_classification, Genetic analysis, Biotechnology, Saccharum, Elite, Medicine, business
Abstract: [This corrects the article DOI: 10.1371/journal.pone.0233752.].
Published: 2021

28. High neutrophil‐to‐lymphocyte ratio is a predictor of poor short‐term outcome in patients with mild acute ischemic stroke receiving intravenous thrombolysis

Author: Dong-Hai Qiu, Xue-Wen Fang, Zhi-Qiang Wu, Yang-Kun Chen, Han-Peng Yin, Gen-Pei Luo, Yong-Lin Liu, Fang Wang, and Jian-Feng Qu
Subjects: medicine.medical_specialty, Percentile, acute ischemic stroke, Neutrophils, medicine.medical_treatment, Logistic regression, 050105 experimental psychology, Brain Ischemia, lcsh:RC321-571, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, Modified Rankin Scale, Interquartile range, Internal medicine, medicine, Blood test, Humans, 0501 psychology and cognitive sciences, Thrombolytic Therapy, intravenous thrombolysis, Lymphocytes, Neutrophil to lymphocyte ratio, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Original Research, Ischemic Stroke, Retrospective Studies, medicine.diagnostic_test, business.industry, 05 social sciences, fungi, Atrial fibrillation, Thrombolysis, medicine.disease, neutrophil‐to‐lymphocyte ratio, Stroke, Treatment Outcome, outcome, business, 030217 neurology & neurosurgery
Abstract: Introduction Very few studies have investigated the specific relationship between neutrophil‐to‐lymphocyte ratio (NLR) and the short‐term outcomes of patients suffering from mild acute ischemic stroke (AIS) and receiving intravenous thrombolysis (IVT). This study aimed to investigate whether a high NLR is associated with a poor short‐term outcome in patients with mild AIS after IVT. Methods We retrospectively analyzed data that were prospectively acquired from patients with AIS treated with IVT. Mild AIS was defined as a National Institutes of Health Stroke Scale (NIHSS) score ≤ 7 on admission. The NLR was based on a blood test performed prior to IVT and was classified as ‘high’ when exceeding the 75th percentile. Follow‐ups were performed at discharge and 3 months after onset. A poor outcome was defined as a modified Rankin scale (mRS) ≥3. Results A total of 192 patients were included in this study. The median NLR was 3.0 (interquartile range [IQR]: 2.0–3.9). Fifty‐one patients (26.6%) had a high NLR (≥3.9) on admission. Forty‐one patients (21.4%) had a poor outcome at discharge, while 34 patients (17.7%) had a poor outcome at 3 months. Patients with a poor outcome at discharge, and at 3 months after onset, were more likely to have a high NLR at discharge (42.9% vs. 21.9%; p = .005) and at 3 months (44.1% vs. 22.8%; p = .011), compared with those with a better outcome. After adjustment for NIHSS score on admission, ipsilateral severe intracranial large artery occlusion, and atrial fibrillation, logistic regression analyses revealed that a high NLR was a significant predictor of poor outcome at discharge and at 3 months after onset. Conclusions A high NLR on admission could be a useful marker for predicting poor short‐term outcome in patients with mild AIS following IVT., To the best of our knowledge, few studies have focused on the specific relationship between neutrophil‐to‐lymphocyte ratio (NLR) and the short‐term prognosis of patients with mild acute ischemic stroke (AIS) and treated with intravenous thrombolysis (IVT). Our study evaluate whether an increased NLR was predictive of a poor short‐term outcome in patients suffering from mild AIS and treated with IVT. A high NLR (≥3.9) was associated with a poor outcome in patients with mild AIS treated with IVT, at both discharge and 3 months after onset.
Published: 2020

29. Effects of Early Neurological Deterioration in Acute Ischemic Stroke on Multiple Dimensions of Functional Outcomes using Propensity Score Matching Analysis

Author: Jian-Feng Qu, Yang-Kun Chen, Wen-Cong Liang, Yong-Lin Liu, Huo-Hua Zhong, and Shi-fang Wang
Subjects: medicine.medical_specialty, Physical medicine and rehabilitation, Text mining, business.industry, Propensity score matching, Medicine, business, Acute ischemic stroke
Abstract: Background: Early neurological deterioration (END) is common in acute ischemic stroke (AIS), but its effect on functional outcomes is not well understood. The aim of the present study was to explore the effects of END on multiple dimensions of functional outcomes.Methods: In the present study, 256 patients with AIS were analyzed. All patients were followed up for 1 year. We used the modified Rankin Scale (mRS) to assess body function impairment, the Lawton activities of daily living scale to assess activity limitations, and the reintegration to normal living index (RNLI) to assess participation restrictions. Brain magnetic resonance imaging was performed to identify acute infarcts and preexisting abnormalities, such as white matter lesions, medial temporal lobe atrophy, microbleeds, and silent lacunae. To reduce the effects of a lack of randomization, we conducted a propensity score analysis. Results: The study sample consisted of 185 men (72.3%) and 71 women (27.7%). Sixty-one patients (23.8%) had END. Before matching, patients with END had higher levels of small artery-type stroke, higher National Institutes of Health Stroke Scale scores on arrival, higher systolic blood pressure on admission, and larger infarct volumes. After matching, there were no significant differences between the two groups in any clinical or neuroimaging variables, except for stroke subtype and cortical region infarct. Logistic regression analysis revealed that END was a significant predictor of poor mRS (odds ratio [OR], 3.829; 95% confidence interval [CI], 1.367–10.723, p = 0.011) and poor RNLI (OR, 2.777; 95% CI, 1.133–6.806, p = 0.026) scores after adjusting for confounding factors.Conclusions: END is relatively common in AIS, with an incidence of 23.8%. END might be able to predict poor functional outcomes, including body function impairment and reduced social participation.
Published: 2020

30. A Deep Learning-Based Intelligent Anti-Collision System for Car Door

Author: Jian-Ping Su, Yang-Kun Ou, Liang-Bi Chen, Chia-Hao Hsu, Jian-Yu Lin, Wan-Jung Chang, and Ming-Che Chen
Subjects: Computer science, business.industry, Deep learning, Collision system, ComputerApplications_COMPUTERSINOTHERSYSTEMS, ComputingMilieux_LEGALASPECTSOFCOMPUTING, Artificial intelligence, Collision, business, Bridge (interpersonal), Car door, Automotive engineering
Abstract: This paper proposes a deep learning-based intelligent anti-collision system, which can avoid an accident caused by the improper opening of the car door. The proposed system consists of an intelligent rearview mirror, an on-board diagnostics-II (OBD-II) bridge, and an in-vehicle infotainment (IVI) platform. The proposed system can recognize the rear approaching motorcycles and prevent the car from opening the car door improperly to avoid a collision accident between a motorcycle and the car door.
Published: 2020

31. Author response for 'High neutrophil‐to‐lymphocyte ratio is a predictor of poor short‐term outcome in patients with mild acute ischemic stroke receiving intravenous thrombolysis'

Author: Yong-Lin Liu, Xue-Wen Fang, Han-Peng Yin, Fang Wang, Jian-Feng Qu, Yang-Kun Chen, Zhi-Qiang Wu, Dong-Hai Qiu, and Gen-Pei Luo
Subjects: medicine.medical_specialty, business.industry, Internal medicine, medicine.medical_treatment, Cardiology, Medicine, In patient, Thrombolysis, Neutrophil to lymphocyte ratio, business, Acute ischemic stroke, Term (time)
Published: 2020

32. Diurnal Blood Pressure and Heart Rate Variability in Hypertensive Patients with Cerebral Small Vessel Disease: A Case-Control Study

Author: Jian-Feng Qu, Zhuo-Xin Ni, Wei-Min Xiao, Wen-Cong Liang, Yang-Kun Chen, Yong-Lin Liu, and Wei Li
Subjects: Male, medicine.medical_specialty, Ambulatory blood pressure, Time Factors, Coefficient of variation, Diastole, Blood Pressure, Autonomic Nervous System, Cardiovascular System, Risk Assessment, 03 medical and health sciences, 0302 clinical medicine, Heart Rate, Risk Factors, Internal medicine, medicine, Heart rate variability, Humans, cardiovascular diseases, Prospective Studies, Stroke, Aged, biology, business.industry, Dipper, Rehabilitation, Case-control study, Blood Pressure Monitoring, Ambulatory, Middle Aged, medicine.disease, biology.organism_classification, Circadian Rhythm, Blood pressure, Case-Control Studies, Cerebral Small Vessel Diseases, Hypertension, Cardiology, Electrocardiography, Ambulatory, Surgery, Female, Neurology (clinical), Cardiology and Cardiovascular Medicine, business, 030217 neurology & neurosurgery, circulatory and respiratory physiology
Abstract: Whether autonomic dysfunction contributes to cerebral small vessel disease (CSVD) remains unclear. This study aimed to explore the relationship between CSVD and blood pressure variability (BPV) and heart rate variability (HRV).This case-control study recruited 50 patients with CSVD and 50 non-CSVD hypertensive age- and gender-matched controls. All participants completed a 24-h ambulatory electrocardiogram recording and ambulatory BP monitoring (ABPM). Differences in HRV and BPV between the two groups were examined. BPV indices assessed by ABPM included mean systolic BP (SBP), mean diastolic BP (DBP), coefficient of variation and weighted standard deviation of SBP and DBP.CSVD patients had significant higher 24-h mean systolic BP (SBP), 24-h mean diastolic BP (DBP), daytime mean SBP, nocturnal mean SBP, and nocturnal mean DBP (P.05 for all). CSVD patients had a significant lower nocturnal SBP fall rate compared with controls (median: 1.0 versus 6.2, respectively; P.001) and were more likely to be non-dippers and reverse dippers. There were no differences in HRV variables between the two groups. Five logistic models were built to explore the correlations between BPV indices and CSVD. BPV indices were separately entered into the logistic regression models, together with hyperlipidemia, ischemic stroke history, current use of anti-hypertensive agents, and serum blood urea nitrogen. In models 1-3, 24-h mean SBP and nocturnal mean SBP and DBP were significantly correlated with CSVD (rLower nocturnal SBP fall rate is associated with CSVD. Non-dipper and reverse dipper hypertensive patients have a higher risk of CSVD.
Published: 2020

33. Asymmetrical cortical vessel sign predicts prognosis after acute ischemic stroke

Author: Jian-Feng Qu, Wei-Min Xiao, Yong-Lin Liu, Huo-Hua Zhong, Jie-Kai Lu, Xue-Wen Fang, Man-Qiu Liang, Yang-Kun Chen, Zhi-Hao Lu, and Ya-Zhi Wang
Subjects: Male, medicine.medical_specialty, acute ischemic stroke, Logistic regression, 050105 experimental psychology, Brain Ischemia, lcsh:RC321-571, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, Neuroimaging, Fibrinolytic Agents, Modified Rankin Scale, Internal medicine, Occlusion, susceptibility‐weighted imaging, Medicine, Humans, 0501 psychology and cognitive sciences, intravenous thrombolysis, Stroke, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Ischemic Stroke, Retrospective Studies, Original Research, Univariate analysis, business.industry, 05 social sciences, asymmetrical cortical vessel sign, Middle Aged, medicine.disease, Prognosis, Stenosis, Treatment Outcome, Tissue Plasminogen Activator, Susceptibility weighted imaging, Cardiology, outcome, Female, business, 030217 neurology & neurosurgery
Abstract: Introduction To assess whether the asymmetrical cortical vessel sign (ACVS) on susceptibility‐weighted imaging (SWI) could predict 90‐day poor outcomes in anterior circulation acute ischemic stroke (AIS) patients treated with recombinant tissue plasminogen activator (r‐tPA). Methods Clinical data of consecutive patients with anterior circulation AIS treated with r‐tPA were retrospectively analyzed. Clinical variables included age, sex, vascular risk factors, NIHSS score, onset to treatment time, and initial hematologic and neuroimaging findings. Follow‐up was performed 90 days after onset. Poor outcome was defined as a modified Rankin scale (mRS) ≥3 at 90 days. Results A total of 145 patients were included, 35 (24.1%) patients presented with ACVS (≥Grade 1) on SWI. Fifty‐three (36.6%) patients had a poor outcome at 90 days. ACVS (≥Grade 1) occurred in 21 (39.6%) patients with poor outcome compared with 14 (15.2%) patients with favorable outcome (p = .001). Univariate analysis indicated that age, NIHSS score on admission, previous stroke, hemorrhagic transformation, severe intracranial large artery stenosis or occlusion (SILASO), and ACVS were associated with 90‐day poor outcome (p, To the best of our knowledge, this is the first study to evaluate the effects of asymmetrical cortical vessel sign (ACVS) on predicting clinical outcomes in patients with acute ischemic stroke (AIS) after intravenous thrombolysis (IVT) therapy. ACVS might be a helpful neuroimaging predictor for 90‐day poor outcome in AIS patients treated with IVT. This finding may help physicians to identify patients at relatively high risk of poor prognosis.
Published: 2020

34. End-to-end COVID-19 screening with 3D deep learning on chest computed tomography

Author: Xinfeng Liu, Yuxiang Wang, Tijiang Zhang, Liao Xiangjun, Rongpin Wang, Xianchun Zeng, Mudan Zhang, Yang Yingli, and Yang Kun
Subjects: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), medicine.diagnostic_test, business.industry, Computer science, Deep learning, medicine, Computed tomography, Artificial intelligence, Radiology, business
Abstract: The outbreak of an acute respiratory syndrome (called novel coronavirus pneumonia, NCP) caused by SARS-CoV-2 virus has now progressed to a pandemic, and became the most common threat to public death worldwide[i],[ii]. COVID-19 screening using computed tomography (CT) can perform a quick diagnosis and identify high-risk NCP patients[iii]. Automated screening using CT volumes is a challenging task owing to inter-grader variability and high false-positive and false-negative rates. We propose a three dimensional (3D) deep learning convolutional neural networks (CNN) that use a patient’s CT volume to predict the risk of COVID-19, trained end-to-end from CT volumes directly, using only images and disease labels as inputs. Our model achieves a state-of-the-art performance (95.78% overall accuracy, 99.4% area under the curve) on a dataset of 1,684 COVID-19 patients, nearly twice larger than previous datasets3, and performs similarly on an independent clinical validation set of 121 cases. We tested its performance against six radiologists on clinical confirmed patient’ CT volumes, our model outperformed all six radiologists with absolute reductions of 7% in false positives and 35.9% in false negatives, demonstrating artificial intelligence (AI) capable to optimize the COVID-19 screening process via computer assistance and automation with a level of competence comparable to radiologists. While the vast majority of patients remain unscreened, we show the potential for AI to increase the accuracy and consistency of COVID-19 screening with CT.
Published: 2020

35. A Research of Grounding Mode and Protection Configuration for DC Microgrids

Author: Ren Liang Liu, Yao Liu, Yang Kun, Yong Chen, Bin Chen, and Fang Guo
Subjects: SIMPLE (military communications protocol), business.industry, Ground, Computer science, Distributed generation, Design specification, Mode (statistics), Electrical engineering, Microgrid, business, Fault (power engineering), Voltage
Abstract: With the rapid development of distributed energy, DC load, variable frequency load and voltage sensitive load, DC microgrid will be widely used in the future power grid. The DC microgrid have various wiring modes, such as unipolar wiring, symmetrical unipolar wiring, and symmetrical bipolar wiring, etc. So, there are many grounding methods for DC microgrid, and no unified specification has been formed at present. The fault current characteristics are quite different under various grounding methods, and the protection configuration and setting are quite different. This paper compares the pole-to-ground voltage characteristics of DC microgrid under various typical grounding modes, and presents a recommended grounding scheme of DC microgrid. Then a simple and practical protection configuration scheme is proposed, which meets the economic requirements of DC microgrid. Simulation results show that the scheme has good selectivity for various fault situations. The research results will provide an important theoretical basis for promoting the formation of a unified design specification for DC microgrids.
Published: 2020

36. Evolution of pure hydrocarbon hosts: simpler structure, higher performance and universal application in RGB phosphorescent organic light-emitting diodes

Author: Fan-Cheng Kong, Zuo-Quan Jiang, Liang-Sheng Liao, Sheng-Yi Yang, Joëlle Rault-Berthelot, Cassandre Quinton, Yang-Kun Qu, Olivier Jeannin, Cyril Poriel, Fabien Lucas, Sarvendra Kumar, Qiang Wang, Soochow University, Humboldt-Universität zu Berlin, Institut des Sciences Chimiques de Rennes (ISCR), Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), National Key RandD Program of China [2016YFB0400700], National Natural Science Foundation of China National Natural Science Foundation of China [51773141, 51873139, 21572152], Natural Science Foundation of Jiangsu Province of ChinaNatural Science Foundation of Jiangsu Province [BK20181442], CINES [2019-A0040805032], ANR French National Research Agency (ANR) [14-CE05-0024-Men, 19-CE05-0024-SpiroQuest], Region Bretagne (DIADEM project), Collaborative Innovation Center of Suzhou Nano Science Technology, Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), 111 Project Ministry of Education, China - 111 Project, Humboldt University Of Berlin, Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Ecole Nationale Supérieure de Chimie de Rennes (ENSCR)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), and ANR-19-CE05-0024,SPIRO-QUEST,SPIRO-QUinolinophenothiazine: semi-conducteurs haute-performance pour des OLEDs Phosphorescentes monocouches(2019)
Subjects: chemistry.chemical_classification, Materials science, business.industry, [CHIM.ORGA]Chemical Sciences/Organic chemistry, Heteroatom, Phosphor, 02 engineering and technology, General Chemistry, 010402 general chemistry, 021001 nanoscience & nanotechnology, 7. Clean energy, 01 natural sciences, 0104 chemical sciences, [SPI.TRON]Engineering Sciences [physics]/Electronics, Chemistry, Hydrocarbon, chemistry, OLED, Optoelectronics, RGB color model, 0210 nano-technology, business, Phosphorescence, Diode
Abstract: In the field of phosphorescent organic light-emitting diodes (PhOLEDs), designing high-efficiency universal host materials for red, green and blue (RGB) phosphors has been quite a challenge. To date, most of the high-efficiency universal hosts reported incorporate heteroatoms, which have a crucial role in the device performance. However, the introduction of different kinds of heterocycles increases the design complexity and cost of the target material and also creates potential instability in the device performance. In this work, we show that pure aromatic hydrocarbon hosts designed with the 9,9′-spirobifluorene scaffold are high-efficiency and versatile hosts for PhOLEDs. With external quantum efficiencies of 27.3%, 26.0% and 27.1% for RGB PhOLEDs respectively, this work not only reports the first examples of high-efficiency pure hydrocarbon materials used as hosts in RGB PhOLEDs but also the highest performance reported to date for a universal host (including heteroatom-based hosts). This work shows that the PHC design strategy is promising for the future development of the OLED industry as a high-performance and low-cost option., In this work, we propose pure hydrocarbon materials as universal hosts for high-efficiency red, green and blue phosphorescent organic light-emitting diodes.
Published: 2020

37. Global cortical atrophy may be associated with fatigue in patients with parkinson's disease

Author: Yong-Lin Liu, Wei-Min Xiao, Zhi-Hao Lu, Xiao-Li Fu, Yang-Kun Chen, and Jian-Feng Qu
Subjects: Male, medicine.medical_specialty, Parkinson's disease, Disease, Severity of Illness Index, Correlation, 03 medical and health sciences, 0302 clinical medicine, Rating scale, Risk Factors, Physiology (medical), Internal medicine, Linear regression, medicine, Humans, Depression (differential diagnoses), Fatigue, Aged, Cerebral Cortex, business.industry, Cognition, Parkinson Disease, General Medicine, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Hyperintensity, Neurology, 030220 oncology & carcinogenesis, Surgery, Female, Neurology (clinical), Atrophy, business, 030217 neurology & neurosurgery
Abstract: Purpose Fatigue has been recognized as a common non-motor problem in patients with Parkinson’s disease (PD). The determination of the clinical correlates of fatigue in PD patients is necessary. The purpose of this study was to explore the risk factors related to the severity of fatigue in PD. Patients and methods In this study, 141 patients with PD were recruited. All patients were evaluated comprehensively, including motor function, fatigue severity scale (FSS), cognition and psychiatric status. Brain magnetic resonance imaging (MRI) examinations were performed to assess the severity of white matter hyperintensities, and the presence of silent lacunes, medial temporal lobe atrophy (MTLA), and global cortical atrophy (GCA). The crude associations of variables with FSS were examined using Pearson (nor-mally distributed) or Spearman correlation (categorical or non-normal distributed) analyses. Multiple linear regression analysis was performed to find the correlates of fatigue severity in PD patients. Results In the whole sample, with FSS as the dependent variable in a linear regression model, Hamilton Depression Rating Scale (HAM-D), GCA, female sex were significant correlates of FSS, accounting for 24% of the variance of it. When subjects with depression (HAM-D ≥ 35) were excluded, HAM-D, GCA, female sex remained significant correlates of FSS, accounting for 22% of the variance of FSS. There is no correlation between white matter hyperintensities and FSS. Conclusion GCA may be an important correlate of the fatigue severity commonly observed in PD patients.
Published: 2020

38. Author response for 'Asymmetrical cortical vessel sign predicts prognosis after acute ischemic stroke'

Author: Xue-Wen Fang, Man-Qiu Liang, Yong-Lin Liu, Yang-Kun Chen, Wei-Min Xiao, Jian-Feng Qu, Huo-Hua Zhong, Ya-Zhi Wang, Jie-Kai Lu, and Zhi-Hao Lu
Subjects: medicine.medical_specialty, business.industry, Internal medicine, medicine, Cardiology, business, Acute ischemic stroke, Sign (mathematics)
Published: 2020

39. A Mobile Device-Based Hairy Scalp Diagnosis System Using Deep Learning Techniques

Author: Yi-Chan Chiu, Yang-Kun Ou, Ming-Che Chen, Qiu Chen, Chia-Hao Hsu, Wan-Jung Chang, and Liang-Bi Chen
Subjects: business.industry, Computer science, Deep learning, Cloud computing, Folliculitis, Dandruff, medicine.disease, medicine.anatomical_structure, Hair loss, Scalp, medicine, Computer vision, Artificial intelligence, medicine.symptom, business, Mobile device
Abstract: This paper proposes a mobile device-based hairy scalp diagnosis system, which adopts deep learning techniques. The proposed system is composed of a mobile device, a cloud-based AI training server, and a cloud-based database. Moreover, the proposed system can detect and diagnose four common hairy scalp symptoms: dandruff, folliculitis, hair loss, and oily hair. As a result, the experimental results showed that the recognition accuracy of the proposed system could achieve up to 95.59%.
Published: 2020

40. Multiple hypointense vessels on susceptibility-weighted imaging predict early neurological deterioration in acute ischaemic stroke patients with severe intracranial large artery stenosis or occlusion receiving intravenous thrombolysis

Author: Yang-Kun Chen, Huo-Hua Zhong, Zhi-Hao Lu, Dong-Hai Qiu, Jian-Feng Qu, Fang Wang, Man-Qiu Liang, Yong-Lin Liu, and Han-Peng Yin
Subjects: Male, medicine.medical_specialty, Time Factors, medicine.medical_treatment, Risk Assessment, lcsh:RC346-429, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Disability Evaluation, 0302 clinical medicine, Fibrinolytic Agents, Predictive Value of Tests, Risk Factors, medicine.artery, Internal medicine, Occlusion, Medicine, Humans, Carotid Stenosis, Thrombolytic Therapy, Stroke, lcsh:Neurology. Diseases of the nervous system, Aged, Ischemic Stroke, Retrospective Studies, Original Research, business.industry, Infarction, Middle Cerebral Artery, Thrombolysis, Middle Aged, medicine.disease, Thrombosis, stroke, Stenosis, Diffusion Magnetic Resonance Imaging, Treatment Outcome, Tissue Plasminogen Activator, Susceptibility weighted imaging, Middle cerebral artery, Cardiology, Administration, Intravenous, Female, Neurology (clinical), Internal carotid artery, Cardiology and Cardiovascular Medicine, business, 030217 neurology & neurosurgery, MRI
Abstract: Background and purposeEarly neurological deterioration (END) is a common feature in patients with acute ischaemic stroke (AIS) receiving thrombolysis. This study aimed to investigate whether the presence of multiple hypointense vessels (MHVs) on susceptibility-weighted imaging (SWI) could predict END in patients with the anterior circulation AIS treated with recombinant tissue plasminogen activator (r-tPA).MethodsThis was a retrospective study focusing on AIS patients suffering from symptomatic stenosis or occlusion of the middle cerebral artery or internal carotid artery with r-tPA treatment. We collected clinical variables and initial haematological and neuroimaging findings. MHVs were measured on SWI performed after intravenous thrombosis and were defined as the presence of a greater number of veins or veins of a larger diameter with greater signal loss on SWI than those of the contralesional haemisphere. The degree of hyperintensity of MHVs was classified into four grades: none, subtle, moderate and extensive. END was defined as an increase in the National Institutes of Health Stroke Scale score by 2 points during the first 48 hours after the onset of symptoms. Multivariate logistic regressions were conducted to investigate the predictors of END.ResultsThe study included 61 patients (51 males and 10 females) with a mean age of 62.4±12.6 years. Thirty-five (57.4%) patients presented with MHVs: 8 (13.1%) were graded as subtle MHVs, while 23 (37.7%) and 4 (6.6%) were graded as moderate or extensive MHVs, respectively. Twenty patients (32.8%) presented with END. Logistic regression analysis showed that compared with patients without MHVs, moderate MHVs (adjusted OR 5.446, 95% CI 1.360 to 21.800; p=0.017) and extensive MHVs (adjusted OR 15.240, 95% CI 1.200 to 193.544; p=0.036) were significantly associated with END.ConclusionsMHVs might be a useful predictor of END in AIS patients with symptomatic large artery stenosis or occlusion after r-tPA treatment.
Published: 2020

41. Author response for 'Does the Babinski sign predict functional outcome in acute ischemic stroke?'

Author: Yong-Lin Liu, Dong-Hai Qiu, Yang-Kun Chen, Huo-Hua Zhong, Gen-Pei Luo, Jian-Feng Qu, and Zhi-Qiang Wu
Subjects: medicine.medical_specialty, business.industry, Internal medicine, Cardiology, Medicine, Babinski sign, business, Acute ischemic stroke, Outcome (game theory)
Published: 2020

42. High Neutrophil-to-Lymphocyte Ratio Predicts Hemorrhagic Transformation in Acute Ischemic Stroke Patients Treated with Intravenous Thrombolysis

Author: Man-Qiu Liang, Han-Peng Yin, Dong-Hai Qiu, Jian-Feng Qu, Yong-Lin Liu, Yang-Kun Chen, Jie-Kai Lu, and Pei-Shan Xia
Subjects: medicine.medical_specialty, Article Subject, medicine.medical_treatment, Lymphocyte, Population, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, Internal medicine, Internal Medicine, Medicine, Diseases of the circulatory (Cardiovascular) system, Platelet, Neutrophil to lymphocyte ratio, education, Univariate analysis, education.field_of_study, business.industry, fungi, Thrombolysis, Blood pressure, medicine.anatomical_structure, RC666-701, Cardiology, business, 030217 neurology & neurosurgery, Research Article
Abstract: Background. The relationship between the neutrophil-to-lymphocyte ratio (NLR) and hemorrhagic transformation (HT) in acute ischemic stroke (AIS) treated with intravenous thrombolysis (IVT) remains unclear. This study assessed whether high NLR is associated with HT in this population. Methods. Data were prospectively collected for continuous patients with AIS treated with IVT and retrospectively analyzed. Clinical variables included age, sex, vascular risk factors, National Institutes of Health Stroke Scale (NIHSS) score, onset-to-treatment time, and initial hematologic and neuroimaging findings. HT was confirmed by imaging performed within 3 days after IVT. Symptomatic HT (sHT) was defined as NIHSS score increased by 4 points compared with that on admission according to previously published criteria. The NLR value was based on the blood examination before IVT, and high NLR was defined as ≥75th percentile. Results. The study included 285 patients (201 (70.5%) males, the mean age was 62.3 years (range 29–89)). Seventy-two (25.3%) patients presented with HT, including three (1.1%) with sHT. The median NLR was 2.700 (1.820–4.255, interquartile range). Seventy-one (24.9%) patients had a high NLR (≥4.255) on admission. Univariate analysis indicated that patients with HT had higher NIHSS scores (P<0.001), systolic blood pressure (SBP), platelet counts, lymphocyte counts, and NLR (P<0.05), as well as a greater prevalence of high NLR than those without HT (37.5% vs. 20.7% and P=0.004). Patients with HT were more likely to have hypertension and AF. As lymphocyte counts and high NLR were highly correlated, we used two logistic regression models. In model 1 (with high NLR), NIHSS score on admission (odds ratio (OR) = 1.110, 95% confidence interval (CI) = 1.015–1.044, and P=0.001), AF (OR = 3.986, 95% CI = 2.095–7.585, and P<0.001), and high NLR (OR = 2.078, 95% CI = 1.078–4.003, P=0.029, sensitivity 0.375, and specificity 0.793) were significant predictors of HT. In model 2 (with lymphocyte counts), NIHSS score on admission (OR = 1.111, 95% CI = 1.050–1.175, and P<0.001), AF (OR = 3.853, 95% CI = 2.048–7.248, and P<0.001), and lymphocyte counts (OR = 0.522, 95% CI = 0.333–0.819, and P=0.005) were significantly associated with HT. Conclusions. High NLR could be a useful marker for predicting HT in AIS patients after IVT.
Published: 2020

43. Genetic analysis of agronomic traits in elite sugarcane (Saccharum spp.) germplasm

Author: Zhang Yuebin, Zhao Jun, Qin Wei, Zhao Yong, Jiayong Liu, Yang Kun, Xia Hongming, Zhao Liping, Zan Fenggang, Chen Xuekuan, Xiping Yang, Peifang Zhao, Yao Li, Zhuandi Wu, and Caiwen Wu
Subjects: 0106 biological sciences, 0301 basic medicine, Germplasm, Population genetics, Artificial Gene Amplification and Extension, 01 natural sciences, Genetic analysis, Cultivar, Multidisciplinary, biology, Ecology, Eukaryota, Agriculture, Genomics, Plants, Saccharum, Amplified Fragment Length Polymorphism, Seeds, Medicine, Research Article, Crops, Agricultural, Genotyping, Ecological Metrics, Science, Quantitative Trait Loci, Crops, Research and Analysis Methods, Crop, 03 medical and health sciences, Quantitative Trait, Heritable, Genome-Wide Association Studies, Genetics, Plant breeding, Grasses, Molecular Biology Techniques, Molecular Biology, Evolutionary Biology, Polymorphism, Genetic, Population Biology, business.industry, Ecology and Environmental Sciences, Organisms, Correction, Biology and Life Sciences, Computational Biology, Human Genetics, Species Diversity, Sugarcane, biology.organism_classification, Genome Analysis, Agronomy, Biotechnology, Plant Breeding, 030104 developmental biology, Amplified fragment length polymorphism, business, Population Genetics, Genome-Wide Association Study, 010606 plant biology & botany, Crop Science
Abstract: Sugarcane (Saccharum spp.) is an important economic crop, supplying up to 80% of the table sugar and ~60% of bio-ethanol worldwide. Due to population growth and dwindling fossil-fuel reserves, the demand for sugar and bio-ethanol requires significant improvement in sugarcane production. Breeding sugarcane cultivars with high-performance agronomic traits is undoubtedly the most efficient way to achieve this goal. Therefore, evaluating agronomic traits and dissecting underlying loci are critically important for this aim steps in providing genetic resources and molecular markers for selection. In this study, we assembled a diversity panel of 236 elite sugarcane germplasms originally collected from 12 countries. We evaluated 28 agronomic traits in the diversity panel with three replicates. The diversity panel was genotyped using amplified fragment length polymorphism markers, and a total of 1,359 markers were generated. Through the genome-wide association study, we identified three markers significantly associated with three traits evaluated at a stringent threshold (P < 0.05 after Bonferroni correction). The genotypes of the three associated markers grouped respective trait values into two distinct groups, supporting the reliability of these markers for breeding selection. Our study provides putative molecular markers linked to agronomic traits for breeding robust sugarcane cultivars. Additionally, this study emphasized the importance of sugarcane germplasm introduced from other countries and suggested that the use of these germplasms in breeding programs depends on local industrial needs.
Published: 2020

44. Design and Development of a Wearable Exoskeleton System for Stroke Rehabilitation

Author: Yang-Kun Ou, Chun-Chih Chen, Yu-Lin Wang, and Hua-Cheng Chang
Subjects: 0209 industrial biotechnology, medicine.medical_specialty, Activities of daily living, Stroke patient, Leadership and Management, medicine.medical_treatment, Wearable computer, lcsh:Medicine, Health Informatics, 02 engineering and technology, Article, 03 medical and health sciences, 020901 industrial engineering & automation, 0302 clinical medicine, Physical medicine and rehabilitation, Health Information Management, wearable assistive device, Medicine, Exoskeleton Device, Assistive device, Stroke, stroke rehabilitation, Rehabilitation, business.industry, 3d printing, Health Policy, exoskeleton, lcsh:R, medicine.disease, Exoskeleton, body regions, business, human activities, 030217 neurology & neurosurgery
Abstract: For more than a decade, many countries have been actively developing robotic assistive devices to assist in the rehabilitation of individuals with limb disability to regain function in the extremities. The exoskeleton assistive device in this study has been designed primarily for hemiplegic stroke patients to aid in the extension of fingers to open up the palm to simulate the effects of rehabilitation. This exoskeleton was designed as an anterior-support type to achieve palmar extension and acts as a robotic assistive device for rehabilitation in bilateral upper limb task training. Testing results show that this wearable exoskeleton assistive device with human factor consideration using percentile dimensions can provide comfortable wear on patients as well as adequate torque to pull individual fingers into flexion towards the palm for rehabilitation. We hope this exoskeleton device can help stroke patients with loss of function in the upper extremities to resume motor activities in order to maintain activities of daily living.
Published: 2020

45. A Blended Teaching Mode Based on Online Micro-Learning in Military English for Non-Commissioned Officers

Author: Hao Wenhui, Li Meng, Yang Kun, Song Mei, and Wu Shasha
Subjects: Engineering, Medical education, business.industry, Teaching mode, Commissioned Officers, business
Published: 2020

46. Anatomical variation of infra-pyloric artery origination: A prospective multicenter observational study (IPA-Origin)

Author: Miao, Rulin, Qu, Jianjun, Li, Zhengrong, Wang, Daguang, Yu, Jiang, Zang, Weidong, Li, Yong, Liu, Fenglin, Zhang, Jian, Song, Wu, Ye, Kai, Yan, Su, Wang, Wei, Ren, Shuangyi, Zang, Lu, Jing, Changqing, Zhang, Li, Wang, Kuan, Fu, Weihua, Fan, Lin, Liang, Bin, Zhao, Gang, Cai, Jun, Yang, Li, Zhu, Jiaming, You, Jun, Yang, Kun, Huang, Qingxing, Niu, Zhaojian, Ning, Ning, Qiu, Xingfeng, Ji, Gang, Liang, Feng, Huang, Hua, Gao, Chao, Shan, Fei, Li, Shuangxi, Jia, Yongning, Zhang, Lianhai, Ying, Xiangji, Zhang, Yan, Bu, Zhaode, Su, Xiangqian, Li, Ziyu, and Ji, Jiafu
Subjects: Laparoscopic surgery, Cancer Research, medicine.medical_specialty, anatomy, medicine.medical_treatment, Infra-pyloric artery, origination, Right gastroepiploic artery, Gastroduodenal artery, 03 medical and health sciences, 0302 clinical medicine, medicine.artery, medicine, Stage (cooking), business.industry, gastric cancer, Cancer, medicine.disease, Surgery, Dissection, medicine.anatomical_structure, Oncology, 030220 oncology & carcinogenesis, 030211 gastroenterology & hepatology, Gastrectomy, Original Article, business, Artery
Abstract: Objective Infra-pyloric artery (IPA) is an important anatomical landmark in treatment of gastric cancer and is the key vessel for pylorus-preserving gastrectomy and subgroup of infra-pyloric lymph nodes. However, its anatomical variation is not thoroughly understood. Our study aimed to clarify the origination of the IPA. Methods We did this prospective, multicenter, open-label, observational study at gastric surgery departments of 34 hospitals in China. Gastric cancer patients aged 18 years or older and scheduled to undergo elective total or distal gastrectomy were assigned. During the surgery, IPA dissecting and exposing the origination point with photographs or video clips were required. The primary outcome was the origination of the IPA. Analysis of variance, χ2 tests and Fisher's tests were used to analyze the differences between groups. The study is registered at Clinicaltrials.gov (No. NCT03071237). Results Between May 8 and July 31, 2017, 429 patients were assigned for the study, and 419 (97.7%) patients had the IPA dissected and recorded through photograph or video and were included in the primary outcome analysis. The median age was 62 years old, and 73.7% were male. Among the patients, 78.5% received laparoscopic surgery. Single IPA origination was identified in 398 (95.0%) patients, including gastroduodenal artery (GDA) in 154 (36.8%) patients, anterior superior pancreaticoduodenal artery (ASPDA) in 130 (31.0%) patients, and right gastroepiploic artery (RGEA) in 114 (27.2%) patients. Fifteen (3.6%) patients were identified with multiple IPA and 6 (1.4%) patients were identified as IPA absence. The differences in the distribution of surgical approach (P=0.003) and geographic area (P=0.030) were statistically significant. No difference was shown in sex, age, gastrectomy type, tumor location, and clinical T, N and M stage. Conclusions Our study found that the IPA originates from GDA, ASPDA and RGEA in similar proportions. Laparoscopic surgery may be more helpful in dissection of the IPA than open surgery.
Published: 2018

47. Image fidelity improvement in digital holographic microscopy using optical phase conjugation

Author: Huang Tian Chan, Chi-Ching Chang, Yang Kun Chew, and Min Tzung Shiu
Subjects: Materials science, Basis (linear algebra), Scattering, business.industry, Mechanical Engineering, media_common.quotation_subject, Fidelity, 02 engineering and technology, 01 natural sciences, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Compensation (engineering), 010309 optics, Noise, 020210 optoelectronics & photonics, Optics, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Digital holographic microscopy, Electrical and Electronic Engineering, Phase conjugation, business, Digital holography, media_common
Abstract: With respect to digital holography, techniques in suppressing noises derived from reference arm are maturely developed. However, techniques for the object counterpart are not being well developed. Optical phase conjugation technique was believed to be a promising method for this interest. A 0°-cut BaTiO3 photorefractive crystal was involved in self-pumped phase conjugation scheme, and was employed to in-line digital holographic microscopy, in both transmission-type and reflection-type configuration. On pure physical compensation basis, results revealed that the image fidelity was improved substantially with 2.9096 times decrease in noise level and 3.5486 times increase in the ability to discriminate noise on average, by suppressing the scattering noise prior to recording stage.
Published: 2018

48. Recombination Process in InGaN/GaN MQW LED on Silicon with δ-Si Doped n-GaN Layer

Author: 杨坤 Yang Kun, 林涛 Lin Tao, 黄耀民 Huang Yao-min, 冯哲川 Feng Zhe-chuan, and 周之琰 Zhou Zhi-yan
Subjects: Radiation, Materials science, Silicon, business.industry, Si doped, chemistry.chemical_element, Condensed Matter Physics, Electronic, Optical and Magnetic Materials, chemistry, Scientific method, Optoelectronics, business, Layer (electronics), Recombination
Published: 2018

49. Microbleeds in fronto-subcortical circuits are predictive of dementia conversion in patients with vascular cognitive impairment but no dementia

Author: Zhuo-Xin Ni, Jian-Feng Qu, Li Xu, Yu-Tao Xiang, Wei-Min Xiao, Chee H. Ng, Yong-Lin Liu, Wei Li, and Yang-Kun Chen
Subjects: medicine.medical_specialty, small vessel disease, Clinical Dementia Rating, 030204 cardiovascular system & hematology, Logistic regression, 03 medical and health sciences, 0302 clinical medicine, Developmental Neuroscience, Internal medicine, cerebral microbleeds, mental disorders, medicine, Dementia, magnetic resonance imaging, fronto-subcortical circuits, Stroke, lacunar infarct, cognitive impairment, business.industry, Neuropsychology, Montreal Cognitive Assessment, Odds ratio, white matter hyperintensities, medicine.disease, stroke, Hyperintensity, cerebrovascular disease, subcortical ischemic vascular disease, business, 030217 neurology & neurosurgery, Research Article
Abstract: Cerebral small vessel disease (CSVD) is a common etiology of vascular cognitive impairment with no dementia (V-CIND). Studies have revealed that cerebral microbleeds (CMBs), a feature of CSVD, contribute to cognitive impairment. However, the association between CMBs and dementia conversion in individuals with V-CIND is still unclear. Here, we analyzed the predictive role of CMBs in the conversion from V-CIND to dementia in CSVD patients. We recruited and prospectively assessed 85 patients with CSVD and V-CIND. V-CIND was evaluated using a series of comprehensive neuropsychological scales, including the Chinese version of the Montreal Cognitive Assessment and the Clinical Dementia Rating. MRI assessments were used to quantify lacunar infarcts, white matter hyperintensities, CMBs, and medial temporal lobe atrophy. Eighty-two of the 85 patients completed the assessment for dementia conversion at a 1-year follow-up assessment. Multivariate logistic regression analyses were conducted to examine independent clinical and MRI variables associated with dementia conversion. Twenty-four patients (29.3%) had converted to dementia at the 1-year follow-up, and these individuals had significantly more CMBs in the fronto-subcortical circuits. Multivariate logistic regression analyses revealed that the patients with CMBs in the fronto-subcortical circuits (odds ratio = 4.4; 95% confidence interval: 1.602-12.081, P = 0.004) and 5 or more CMBs overall (odds ratio = 17.6, 95% confidence interval: 3.23-95.84, P = 0.001) had a significantly increased risk of dementia at the 1-year follow-up. These findings indicate that CMBs in the fronto-subcortical circuits may be predictive of dementia conversion in CSVD patients with V-CIND, and thus extend the clinical significance of CMBs. This trial was registered with the Chinese Clinical Trial Registry (registration number: ChiCTR1800017077). Protocol version: 1.0.
Published: 2018

50. Image Contrast Improvement in Interference-Dark-Field Digital Holographic Microscopy

Author: Yang-Kun Chew, Chi-Ching Chang, Mei-Fang Chou, Je-Chung Wang, and Huang-Tian Chan
Subjects: Computer science, business.industry, Scattering, Resolution (electron density), Holography, Astrophysics::Cosmology and Extragalactic Astrophysics, digital holographic microscopy, Interference (wave propagation), Dark field microscopy, Sample (graphics), Atomic and Molecular Physics, and Optics, Image contrast, TA1501-1820, law.invention, dark-field microscopy, Optics, law, Applied optics. Photonics, Radiology, Nuclear Medicine and imaging, Digital holographic microscopy, interference-dark-field, business, Instrumentation
Abstract: Conventional dark-field digital holographic microscopy (DHM) techniques require the use of specialized optics, and, thus, obtaining dark-field images with high contrast has a high cost. Herein, we propose a DHM system that uses an interference-dark-field technique for improving image contrast. Unlike conventional dark-field DHM, the proposed technique does not require expensive and specialized optical elements, or a complicated optical setup, to obtain dark-field images. The proposed technique employs a pure optical basis method to suppress scattering noise—namely, interference-dark-field—and mainly adopts an arbitrary micro-phase shifting method to achieve destructive interference for obtaining holograms. Under the framework of the proposed technique and through the observation of the USAF 1951 resolution target, the reconstructed image can retain the high contrast of the interference-dark-field DHM. The image contrast is enhanced by at least 43% compared to that which is obtained by conventional dark-field DHM. The resolution of the system can be as high as 0.87 μm. The proposed technique can switch between bright-field and dark-field DHM and prevents damage to the sample, which results from high-intensity illumination in conventional techniques.
Published: 2021

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