Author: "Giraldo" / Topic: business - Searchworks@Jio Institute Digital Library Search Results

3,283 results on '"Giraldo"'

1. Choosing Wisely: An idea worth sustaining

Author: Kastner, Monika, Makarski, Julie, Mossman, Kathryn, Harris, Kegan, Hayden, Leigh, Giraldo, Manuel, Sharma, Deepak, Asalya, Marwan, Jussaume, Linda, Eisen, David, Wintemute, Kimberly, Rolko, Edith, Shin, Phil, Zadravec, Jennifer, and McRitchie, Donna
Subjects: Medical care -- Utilization -- Quality management, Business, Health care industry
Abstract: Objectives: To evaluate the sustainability potential of Choosing Wisely (CW) to address unnecessary medical care at Ontario community hospitals. Data Sources/Study Setting: Ontario community hospitals and their affiliated family health teams (FHTs). Study Design: A mixed-methods study involving the administration of a validated sustainability survey to CW implementation teams followed by their participation in focus groups. Data Collection/Extraction Methods: Survey data were collected using an Excel file with an embedded, automated scoring system. We collated individual survey scores and generated aggregate team scores. We also performed descriptive statistics for quantitative data (frequencies, means). Qualitative data were triangulated with quantitative assessments to support data interpretations using the meta-matrix method. Principal Findings: Fifteen CW implementation teams across four Ontario community hospitals and six affiliated primary care FHTs participated. CW priority areas investigated were de-prescribing of proton pump inhibitors (PPIs) and reducing Pre-Op testing and BUN/Urea lab testing. Survey results showed steady improvements in sustainability scores from baseline to final follow-up among most implementation teams: 10% increase for PPI de-prescribing (six FHTs) and 2% increase (three hospital teams); 18% increase in BUN/Urea lab testing (three hospital teams). Regardless of site or CW priority area, common facilitators were fit with existing processes and workflows, leadership support, and optimized team communication; common challenges were lack of awareness and buy-in, leadership engagement or a champion, and lack of fit with existing workflow and culture. All teams identified at least one challenge for which they co-designed and implemented a plan to maximize the sustainability potential of their CW initiative. Conclusions: Evaluating the sustainability potential of an innovation such as Choosing Wisely is critical to ensuring that they have the best potential for impact. Our work highlights that implementation teams can be empowered to influence implementation efforts and to realize positive outcomes for their health care services and patients. KEYWORDS implementation, mixed-methods, sustainability What is known on this topic * Choosing Wisely is a de-implementation innovation aimed at reducing unnecessary tests and low-value care that are unlikely to benefit patients or which may even cause harm. * Evaluating the long-term sustainability of innovations, such as Choosing Wisely, is often lacking, and may lead to implementation failure, wasted resources, and poor patient outcomes. * The success of ongoing implementation of innovations is dependent on assessing their sustainability potential, which has the best potential to support sustained improvements in health care sen/ices and patient outcomes over time. What this study adds * Understanding the implementation context of target knowledge users, their environment, resources, and mechanisms of the implementation process are necessary for optimized sustainability of innovations. * Implementation teams can influence and optimize their implementation efforts through solutions-focused discussions whereby implementation challenges can be identified and addressed. * Sustainability assessments can be strengthened by using a sustainability model as a platform for change, using a repeated measurement strategy to allow for optimization of sustainability over time, and to include a maintenance strategy for long-term sustainability or until the change becomes part of routine care., 1 | BACKGROUND It is estimated that 30% of health care services, tests, treatments, and procedures are unnecessary and unlikely to benefit patients (1-3) and can also lead to patient [...]
Published: 2022
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2. Resilient Structural Sparsity in the Design of Consensus Networks

Author: Jairo Giraldo, Gilberto Diaz-Garcia, Alvaro A. Cardenas, Luis Felipe Giraldo, and Gabriel Narvaez
Subjects: Physics, Theoretical computer science, business.industry, Topology (electrical circuits), Robotics, Computer Science Applications, Computer Science::Multiagent Systems, Human-Computer Interaction, Electric power system, Consensus, Control and Systems Engineering, Synchronization (computer science), A priori and a posteriori, Artificial intelligence, State (computer science), Electrical and Electronic Engineering, business, Resilience (network), Software, Information Systems
Abstract: The consensus problem is relevant to different areas ranging from biology, social psychology, and physics to power systems and robotics. Two crucial aspects of the design of a consensus system are the implementation issues that arise in densely connected networks and the presence of malicious agents that try to cause a deviation from a synchronization state. In this article, we introduce a formulation to design the topology of a consensus network to improve its resilience to attacks while remaining sparse and consistent with the a priori structural relations between the agents. Through mathematical analysis and simulations on artificial and real-world cases, we show the benefits and usefulness of using this strategy to design resilient and structurally sparse consensus networks.
Published: 2023

3. Inhibidor janus kinasa como opción terapéutica en alopecia areata. Reporte de caso

Author: Lina María Saldarriaga Rivera, Fabián Andrés Hernández Velasco, and Christian Marin Giraldo
Subjects: Rheumatology, business.industry, Medicine, business, Humanities
Abstract: Resumen La alopecia areata (AA) es una enfermedad autoinmune que genera perdida no cicatrizal de cabello con diferentes grados de afectacion, incluyendo la perdida total de los tallos pilosos. A pesar de ser una entidad benigna, tiene un gran impacto en el ambito emocional y psicosocial de los pacientes. En la actualidad, se dispone de una amplia variedad de tratamientos tanto topicos como orales. Se presenta el caso de una paciente de 24 anos, con alopecia areata recurrente severa, sin respuesta a multiples tratamientos previamente prescritos, en quien se descarto una causa secundaria y se confirmo diagnostico histologico con biopsia. Se inicio tratamiento con tofacitinib, un inhibidor de la JAK, con una excelente respuesta clinica al mes de iniciado el tratamiento.
Published: 2023

4. Impacto de la ecografía pulmonar Durante la pandemia por SARS-CoV-2: distinción entre la neumonía viral y la bacteriana

Author: Alejandro Giraldo Hernández, Edith Vanesa Gutiérrez Abreu, Esther Montero Hernández, Ángela Valencia Alijo, Ángela Gutiérrez Rojas, Laura Dorado Doblado, Jesús Herraiz Jiménez, Alberto Mora Vargas, Yale Tung-Chen, Sonia García Prieto, and Patricia Elsa González Merino
Subjects: Síndrome Respiratorio Agudo Severo por Coronavirus tipo 2 (SARS-CoV-2), medicine.medical_specialty, Pleural effusion, Severe Acute Respiratory Syndrome due to Coronavirus type 2 (SARS-CoV-2), Ecografía pulmonar, Neumonía adquirida en la Comunidad (NAC), Article, Rheumatology, Pandemic, medicine, Enfermedad por coronavirus 2019 (COVID-19), Lung ultrasound, Lung, business.industry, Ultrasound, Area under the curve, Bacterial pneumonia, respiratory system, medicine.disease, respiratory tract diseases, Coronavirus disease 2019 (COVID-19), Pneumonia, medicine.anatomical_structure, Etiology, Radiology, business, Community Acquired Pneumonia (CAP)
Abstract: INTRODUCCIÓN: La Ecografía Pulmonar es una técnica accesible, de bajo costo y que ha demostrado su utilidad en la estratificación pronostica en pacientes con COVID-19. Además, según estudios previos, nos puede orientar hacia la potencial etiología, especialmente en situaciones epidémicas como la actual. PACIENTES Y MÉTODOS: Se reclutaron prospectivamente 40 pacientes, 30 con neumonía por SARS-CoV-2 y 10 por neumonía adquirida en la comunidad (NAC). A los pacientes incluidos, se les realizó tanto una radiografía como ecografía de tórax. RESULTADOS: No hubo diferencias en los 2 grupos en cuanto a las características clínicas y analíticas. Los principales hallazgos ecográficos fueron en el grupo de SARS-CoV-2 la presencia de líneas B confluyentes y consolidaciones subpleurales y la hepatinización en el grupo de NAC. El derrame pleural fue más frecuente en el grupo de NAC. En ningún caso la ecografía pulmonar fue normal. El análisis de las curvas ROC mostró un área bajo la curva para la Ecografía Pulmonar del 89,2% (IC 95%: 75,0- 100%, p
Published: 2022

5. El modelo sistémico para la gestión de la comunicación de gobierno

Author: Giraldo, Juan Carlos Gómez, Editor académico and Giraldo, Juan Carlos Gómez
Published: 2021
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6. Preparation and characterization of Portland cement pastes with [Sm.sub.2][O.sub.3] microparticle additions for neutron shielding applications

Author: Florez, Raul, Colorado, Henry A., Giraldo, Carlos H.C., and Alajo, Ayodeji
Subjects: Microstructures -- Analysis, Portland cement -- Research -- Mechanical properties, Scanning microscopy -- Usage, Business, Construction and materials industries
Abstract: ABSTRACTMechanical, microstructural and neutron attenuation properties of white ordinary Portland cement (WOPC) pastes with [Sm.sub.2][O.sub.3] additions ranging from 2.5 to 20 wt% are reported. Scanning electron microscopy (SEM) micrographs revealed [...]
Published: 2018
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7. Desarrollo de una metodología para integrar las TIC (Tecnologías de la Información y la Comunicación) en las IE (Instituciones Educativas) de Montería

Author: Juan Carlos Giraldo Cardozo, Jan Carlos Soto Jiménez, and María Lucía Franco Enzuncho
Subjects: Knowledge management, business.industry, Computer science, Information and Communications Technology, business
Abstract: En este artículo, se presenta la metodología GITICIE (Gestión e integración de las tecnologías de la Información y Comunicación en las Instituciones educativas), desarrollada a través de un proceso de investigación-acción llevado a cabo entre los años 2010-2012 con la participación de docentes del área de Tecnología e Informática de 14 instituciones educativas públicas de la ciudad de Montería-Colombia. La metodología está fundamentada en siete ejes TIC y plantea cinco momentos que inician con la concientización sobre las bondades de integrar las TIC; posteriormente desarrolla una caracterización de las necesidades institucionales, que fundamentan la Planeación de las Mejoras TIC, diseñadas e implementadas por las comunidades educativas, encargadas del seguimiento, valoración y ajustes a las acciones en forma repetitiva hasta lograr resultados óptimos. En las instituciones permeadas se observó transformación en la dinámica del proceso de integración TIC, obteniendo como resultados el desarrollo de proyectos institucionales de GITIC como ejes orientadores de la integración, dinamizados por grupos de gestión que los coordinan.
Published: 2022

8. Mortality and clinical characteristics of multisystem inflammatory syndrome in children (MIS-C) associated with covid-19 in critically ill patients: an observational multicenter study (MISCO study)

Author: Byron E. Piñeres-Olave, Jaime Fernández-Sarmiento, Hernando Mulett-Hoyos, Jorge Rojas, Jose Luis Junco González, Jaime Piracoca Mejìa, Beatriz Giraldo Duran, Juan-Manuel Anaya, Carolina Bonilla González, Lorena Acevedo, Liliana Mazzillo Vega, Carolina Giraldo Alzate, Otto González-Pardo, Shayl Chacón, Ledys Izquierdo, Rafael Orozco Marun, Helen Preciado, Martha I Alvarez-Olmos, Eliana Zemanate, Laura Fernanda Niño-Serna, J.C. Salazar-Uribe, Iván José Ardila Gómez, and Juan Camilo Jaramillo-Bustamante
Subjects: Male, medicine.medical_specialty, Critical Illness, inflammatory, Overweight, Pericardial effusion, Pediatrics, RJ1-570, Sepsis, Intensive care, Internal medicine, Medicine, Humans, Child, business.industry, SARS-CoV-2, Mortality rate, Research, COVID-19, Infant, medicine.disease, mortality, Systemic Inflammatory Response Syndrome, Systemic inflammatory response syndrome, Diarrhea, Child, Preschool, Pediatrics, Perinatology and Child Health, SARS-CoV2, medicine.symptom, business, PIMS-TS, Cohort study
Abstract: Background The clinical presentation and severity of Multisystem Inflammatory Syndrome in Children associated with COVID-19 is widespread and presents a very low mortality rate in highincome countries. This research describes the clinical characteristics of MIS-C in critically ill children in middle-income countries compared to described series in high-income countries along with the factors associated with mortality and worse outcomes. Methods An observational cohort study was conducted in 14 PICUs in Colombia between April 01, 2020 and January 31, 2021. Patient´s age ranged between one month and 18 years and they met the requirements set forth by WHO for MIS-C. Results There were seventy-eight children in this study. The median age was seven years (IQR 1- 11), 18% (14/78) were under one year old, and 56% were male. Thirty-five percent (29/78) were obese or overweight. The PICU stay was six days (IQR 4-7), and 100% had a fever on admission lasting five days (IQR 3.7-6). Seventy percent (55/78) had diarrhea, and 87% (68/78) had shock or myocardial dysfunction (78%). Compared to the United Kingdom (UK) study, there were more children under the age of five (37% vs. 10%; p=0.004), and there was a higher frequency of obesity (29.5% vs. 10%; p=0.008). With regard to the US study, there was more lymphadenopathy (23% vs. 13%; p=0.02), diarrhea (70.5% vs. 53%; p=0.001), lymphopenia (64% vs. 35%; p=0.001), shock (87% vs. 35%; p=0.001), elevated troponin (51% vs. 31%; p=0.006) and elevated proBNP (82% vs 43%; p=0.001), as well as greater mortality (9% vs 1.8%; p=0.001). The group that did not survive had a longer duration of the disease until admission to the PICU (6 days vs. 5 days; p = 0.003), more frequency of ferritin above 500 ngr/mL (100% vs. 45%; p = 0.012) and more cardiovascular complications (100% vs. 54%; p = 0.019) compared to the group that survived. Conclusions Multisystem Inflammatory Syndrome in Children due to SARS-CoV-2 in critically ill children living in a middle-income country has some clinical, laboratory, and echocardiographic characteristics similar to those described in high-income countries. It was observed inflammatory response, and cardiovascular involvement were conditions that, added to the difficulties in accessing healthcare systems in countries with limited resources, may explain the higher mortality seen in these children.
Published: 2021

9. Manifestaciones dermatológicas secundarias al uso de cocaína y levamisol

Author: Sara Saldarriaga-Santamaria, Carolina Mesa-Mesa, Ana M. Mejía-Giraldo, and Elsa Bibiana Peña-Zuñiga
Subjects: business.industry, Medicine, Dermatology, business
Published: 2022

10. Attack Detection in Power Distribution Systems Using a Cyber-Physical Real-Time Reference Model

Author: Mohammed Masum Siraj Khan, Jairo Giraldo, and Masood Parvania
Subjects: General Computer Science, Artificial neural network, Computer science, business.industry, Testbed, Real-time computing, Cyber-physical system, Kalman filter, Intrusion detection system, Consistency (database systems), Distributed generation, business, Reference model, Computer Science::Cryptography and Security
Abstract: This paper develops a novel intrusion detection system for power distribution systems that utilizes a cyber-physical real-time reference model to accurately replicate the complex behavior of power distribution components for attack detection. The proposed intrusion detection system analyzes the consistency of the physical data from sensor readings and control commands in contrast with their digital counterpart obtained from the real-time reference model. Therefore, a residual-based online attack detection mechanism that utilizes the chi-square test is able to determine the presence of malicious data. The proposed mechanism is implemented on a hardware-in-the-loop simulation testbed on a test power distribution system with distributed energy resources and energy storage systems. The results show that the proposed solution is able to quickly detect multiple types of cyber attacks for different levels of accuracy of the real-time reference model. The simulations illustrate that the proposed approach outperforms conventional attack detection mechanisms such as one-class classifiers and residual-based approaches that utilize Kalman filters or neural networks.
Published: 2022

11. Factores asociados a la presencia del virus de Epstein-Barr en la cavidad oral de adolescentes de la ciudad de Cali (Colombia)

Author: Andrés Castillo, Sebastian Giraldo, Luis Eduardo Bravo, and Nataly Guzmán
Subjects: 0301 basic medicine, Microbiology (medical), 03 medical and health sciences, 0302 clinical medicine, business.industry, 030106 microbiology, Medicine, 030212 general & internal medicine, Prevalence ratio, Oral cavity, business, Humanities
Abstract: Resumen Introduccion El virus de Epstein-Barr (VEB) esta clasificado como carcinogeno del grupo 1. Su principal via de transmision es la oral, a traves de la saliva. Determinamos la frecuencia de deteccion del VEB en la cavidad oral en estudiantes de secundaria en Cali (Colombia). Materiales y metodos Estudio transversal analitico para estimar la frecuencia de deteccion del genoma del VEB en la cavidad oral, las razones de prevalencia y su asociacion con diversos factores en 1.565 individuos. Las variables analizadas fueron factores sociodemograficos, de higiene y salud oral, comportamiento sexual, consumo de cigarrillos e ingesta de alcohol. La asociacion entre la deteccion y las variables evaluadas se realizo mediante un modelo de regresion lineal generalizado con vinculo logaritmico y distribucion de Poisson con varianza robusta. Resultados La exposicion al VEB en la cavidad oral fue del 38,40% (IC 95%: 36,02-40,84). La frecuencia de presentar exposicion al VEB fue un 22% mayor en los varones, y el riesgo se incremento segun el comportamiento sexual. Se encontro asociacion inversa con el grado escolar: los participantes de undecimo grado tuvieron un 27% menos frecuencia de exposicion al VEB que los de grados inferiores (sexto a octavo). Cuando se utilizo el modelo logistico para estudiar la asociacion entre la deteccion del VEB y las variables independientes, se sobreestimo la asociacion. El rango de sobreestimacion fue entre el 27-47% segun el tipo de variable. Conclusion La frecuencia de deteccion del VEB en la cavidad oral de estudiantes sanos fue similar a la previamente descrita. Factores asociados al comportamiento sexual incrementan el riesgo de oportunidad para la exposicion al VEB.
Published: 2022

12. 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, 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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, 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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, 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Heura Llaquet, Colás‐ruiz, Enrique, Romera, Susana Bella, Pellicé, M. 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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, 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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. H., Ng, Ong, Michael Tim Yun, Tan, Teresa, Tang, Sui Fan, Teoh, Jeremy Yuen‐Chun, Teoh, Anthony, Tsui, Bess Siu Yan, Wong, George Kwok Chu, Wong, Randolph, Wong, Kwok Chuen, Yee, Chi Hang, Antal, Zsuzsanna, Kalman, Attila, Voros, Peter, Bahrehmand, Kiarash, Echim, Timea, Novak, Zoltan, Sztipits, Tamás, Bihari, Laszló ádám, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Sotonyi, Peter, Szatai, Lilla, Herczeg, György, Pordány, Bálint, Tornyi, Fanni, Dede, Kristof, Egyed, Tamás, Saftics, György, Kulcsicka‐gut, Judit, Sipos, Zsófia, Toth, Dezso, Patel, Bhavin, Majmudar, Hardil, Mankad, Saptak, Pathan, Sohilkhan, Sharathkumarkl, L, Sasatti, Lokesh, Mahankali, Subramanyam, Annayappa, Santhosh Kumar Sampengere, Agrawal, Tulika, Anandan, Premkumar, Baindur, Aditya, Manjunath, Bd, Savitha, C, Anitha, G S, Harigond, Sandeep, Tejeswini, K K, Kesarla, Venkatesh, Manangi, Mallikarjuna, Hareesh, P B, Ranjan, Jyothi K R, Shetty, Athish, Chikkanayakanahalli, Santhosh Shivashankar, Sunil, Tanvi, Syamala, Shreya, Tharanath, Kavya, Atal, Aditya, Rajagopal, Niranjana, Srinath, B S, Vinod, Nk, Thirumanikandan, P L, Mishra, Nitu, Shrivastava, Sushruta, Wadhwani, Rekha, Ahmad, Reyaz, Haq, Zainab Ahmad, Behera, Prateek, Dhurwe, Ritika, Haq, Rehan, Jain, Vaibhav, Jain, Anuj, Karna, Sunaina, Pushpalatha, Kameshwarachari, Raj, Sumit, Santoshi, John Ashutosh, Singh, Pooja, Verma, Virendra, Waindeskar, Vaishali, Yadav, Moorat Singh, Aziz, Zaheda, Chakraborty, Koyel, Chappity, Preetam, Das, Gurudip, Datta, Debajyoti, Jena, Saubhagya Kumar, Kar, Madhabananda, Khuntia, Susanta, Kumar, Pankaj, Kumar, Ravi, Aswathi, Kv, Mishra, Abhijeet, Mishra, Swastik, Mittal, Yash, Muduly, Dillip, Panda, Ritesh, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Rout, Bikram, Sahu, Rabi, Sarkar, Saurav, Singh, Sweta, Sudha, Sanjibani, Sultania, Mahesh, Tripathy, Sujit, Varghese, Paulson, Kansay, Rajeev, Kaushik, Robin, Singh, Simrandeep, Gupta, Sunil Kumar, Khare, Siddhant, Kumar, Vishal, Mohindra, Sandeep, Patil, Ninad, Salunke, Pravin, Savlania, Ajay, Singh, Kavindra, Pradeep Krishna, Rv, Narasimhan, Gomathy, Rela, Mohamed, Appukuttan, Akhila, Goudar, Swati, Mallick, Shweta, Titus, Christi, Chidambarasamy, Ezhir Selvan, Madhavan, Devdas, Murugesan, Anandan, Narayanasamy, Kuppurajan, Barani Kumar, P B, Rajan, Firoz, Vijayaragavan, Paari, Kumar, Arvind, Borthakur, Biplob, Chauhan, Tapan Singh, Govil, Akhil, Gupta, Shubhra, Hanjoora, Vijay Mohan, Sharma, Ashish, Srivastava, Aseem, Tiwari, Saurabh, Vishwani, Vartika, Pendyala, Karuna Sree, Prasad, Navakoti, Bothra, Jyoti, Deb, Mainak, Herle, Koushik, Jayaram, Harish, Kannaiyan, Lavanya, Krithiga, Abirami, Mukta, W, Nagpal, Pooja, Pathak, Prachi, Banerjee, Sumit, Chaudhary, Ramkaran, Choudhary, Gautam Ram, Chugh, Ankita, Dixit, Pawan, Elhence, Abhay, Gahlot, Nitesh, Garg, Mayank, Ghuman, Navdeep Kaur, Jha, Deepak, Kala, Prakash, Kaur, Amanjot, Madduri, Vijay, Pandey, Himanshu, Pareek, Puneet, Pathak, Manish, Rathod, Kirtikumar J, Rodha, Mahaveer Singh, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Singh, Mahendra, Singh, Pratibha, Suryanarayanan, Bhaskar, Vishnoi, Jeewan Ram, Amin, Shivang, Kumar, Rohit, Sharma, Tanishq, Murugesan, Kesavan, Ramasamy, Abhinav Balachandar Subbiah, Chatterjee, Debarshi, Gerber, C Gerber, Naskar, Upasana, Aggarwal, Gaurav, Agrawal, Sanjit Kumar, Ahmed, Azaz, Gupta, Sujoy, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Pipara, Amrit, Priya, Noopur, Raja, Roopak, Shakya, Sudip, Thambudorai, Robin, Kharkongor, Dimple, Agarwal, Anjoo, Akhtar, Naseem, Anand, Akshay, Asnani, Mona, Chaturvedi, Arun, Chaurasia, Akhilanand, Enny, Loreno E., Garg, Surabhi, Gupta, Sameer, Jaiswal, Anoop Kumar, Jaiswal, Somil, Jaware, Yashpal, Kala, Navneet, Karnatak, Ruchi, Kaur, Apjit, Kumar, Vijay, Kumar, Manoj, Kumar, Ambrish, Kumar, Upander, Shrivastava, Amit Kumar, Mehrotra, Seema, Mishra, Brijesh, Mishra, Anand, Namrata, Null, Ojha, Bal Krishna, Ozair, Ahmad, Pal, Uma Shanker, Pandey, Amita, Raja, Nancy, Ramakant, Pooja, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Satyanarayan, Sankhwar, Pushp, Sarin, Divya, Shukla, Ayushi, Singh, Sushil, Singh, Mohit, Singh, Kul Ranjan, Singh, Renu, Singh, Uma, Singh, Urmila, Solanki, Vandana, Sonkar, Abhinav Arun, Srivastava, Chhitij, Suryawanshi, Parijat, Tewarson, Vivek, Verma, Rajat, Verma, Manju Lata, Yadav, Awdhesh, Chand, Gyan, Chanthar, K. M. M. Vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Chopra, Rupali, David, Shakina, Dhar, Tapasya, Dutt, Uma Kant, Dutta, Rohini, Gandhi, Sumir, Haque, Parvez David, Paul Sudhakar John, B, Veetil, Sreejith Kannummal, Kaur, Gurvinder, Kumar, Navneet, Luther, Anil, Mahajan, Anupam, Mahajan, Amit, Mandrelle, Kavita, Mathews, Shefin, Michael, Vishal, Mukherjee, Partho, Pargal, Pinki, Paul, Rajesh, Phillip, Anupam, Phillips, Rachel, Samuel, Abhishek, Singh, Noel, Singh, Inderjot, Singh, Abhijit, Grewal, Sarvpreet Singh, Singhania, Anusha, Thirumalai, Selven, Varghese, Ashish, Wesley, Joshua, Thomas, Josy, Zechariah, Pradeep, Ifthikar, Mariam Anjum, Mathew, Rohan Thomas, Shetty, Rohan, Vijaykumar, M Vijayakumar, Hameed, BM Zeeshan, Ibrahim, Sufyan, Jyothish, Gayathri, Krishna, Sunil, Mathew, Stanley, Kumar, Arjun Suresh, Singh, Narinder, Sinha, Piyush Kumar, Sridhar, Rachith, Agarwal, Sunny, Balasubramaniam, Srikant, Chhatrapati, Swati, Deshpande, Charulata, Dharia, Ashni, 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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, Zulkifli, Zulkifli, Amba, Erick Gamaliel, Lie, Warren, Thehumury, Andika Adiputra, Apriawan, Tedy, Aji, Yunus Kuntawi, Wathoni, Roidah Taqiyya Zahra, Anwar, Sumadi Lukman, Aryandono, Teguh, Harahap, Wirsma Arif, Kurniawaty, Juni, Sari, Djayanti, Wahyono, Artanto, Widyastuti, Yunita, Jufan, Akhmad Yun, Arjmand, Parisa, Etezadpour, Mohammad, Ganjeifar, Babak, Hosseinpoor, Masoumeh, Mehrad‐majd, Hassan, Rajati, Mohsen, Assadi, Reza, Noori, Ehsan, Rajaei, Parisa, Hajisadeghi, Samira, Mehdizadeh, Mohammad, Soltani, Mina, Alizadeh, Narges, Nia, Gholamreza Azarnia Azar, Heidari, Hamid, Zavareh, Seyedmohamad Hosseini Zavareh Hosseini, Pour, Ali Moazami Pour Moazami, Savaddar, Farokh, Vahedian, Mostafa, Amouzegar, Hoora, Bahadorzadeh, Mojdeh, Hemmasi, Seyedeh Homa, Kachoie, Ahmad, Karimi, Ali Karimi, Miraj, Sepideh, Mirzaie, Monireh, Mokarami, Hossein Mokarami, Salimi, Amrollah, Ahangari, Roghayyeh, Ahmadvand, Ali, Bashiri, Ali, Borhani, Morteza, Haidari, Mohammad, Khosroshahi, Mohammad Taghi Imani, Bini, Shahrokh Jahan, Koosha, Mohsen, Moslemi, Mohammad Kazem, Naghibi, Ali, Tehrani, Shahrzad, Yazdi, Zahra, Adeli, Seyyed Hassan, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Manesh, Hassan Fatemi, Ghomeisi, Mohammad, Hejazi, Seyed Fakhreddin, Madani, Saeed, Motahaver, Nima Najafian, Norouzi, Samieh, Modarres, Mahdi Pezeshki, Shafiee, Ali, Vafaeimanesh, Jamshid, Yusefi, Hossein, Hosseini, Elahe, Medhati, Pourya, Nikoupour, Hamed, Aghazadeh, Kayvan, Bastaninejad, Shahin, Dabirmoghaddam, Payman, Erfanian, Reza, Firouzifar, Mohammadreza, Heidari, Farrokh, Irani, Shirin, Karimi, Ebrahim, Kouhi, Ali, Zarandy, Masoud Motasaddi, Anari, Mahtab Rabbani, Sandoughdaran, Saleh, Sohrabpour, Saeed, Tajdini, Ardavan, Yazdani, Nasrin, Bagheri, Nima, Javadi, Seyed Amir, Kalantar, Seyed Hadi, Keneshlou, Farzaneh, Khan, Zahid Hussain, Mortazavi, SM Javad, Ahmadi, Sayedali, Hatam, Jaber, Nabian, Mohammad Hossein, Zanjani, Leila Oryadi, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Shafiei, Seyyed Hossein, Siavashi, Babak, Al‐isawi, Ali, Al‐masood, Mohammed, Al‐najjar, Dania, Gahtan, Yarub, Nabil, Sara, Hameed, Najat Abdul, Hameed, Jumana Abdul, Ahmed, Abdullah, Akadh, Ali, Hussein, Rand, Aljebur, Abbas, Hassan, Sadik, Ali, Haithem Hussein, Al‐hasani, Fahad, Ibrahim, Mustafa Wameedh, Saeed, Mubder Mohammed, Muhssein, Haidar, Akindoyin, Success, Barry, Stevie, Dewan, Nikhil, Ekwere, Bosom, Essajee, Murtaza, Langhe, Ream, Marshall, Calista, Musa, Darya, Ahmad, Zeeshan, Andrews, Emmet, Chin, Bruno Chan, Corrigan, Mark, Murphy, Amy Edwards, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Hsiao, Michelle, Kayyal, Mohd Yasser, Killeen, Shane, Lyons, Maria, Burke, Cathy, Hewitt, Matt, Mohamed, Marwa, Nazir, Syeda Farah, Mei Yee, Ng, Wahab, Nor Azlia Abdul, Monteith, Cathy, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Corr, Paula, Crone, Lauren, Harris, Johnathon, Hill, Arnold, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Ryan, James, Hehir, Mark Philip, Regan, Carmen, Geary, Michael, Malone, Fergal, Mccarthy, Claire, O’Connor, Donal B, Considine, Shane, Donohoe, Emma, Herron, Caroline, Larkin, John, Lynch, Thomas Hugh, Maguire, Barry, Manecksha, Rustom, Carthy, Andrea Mc, Nagassima, Katharina, O’Sullivan, Erica, Rohan, Pat, Roopnarinesingh, Ryan, Salloum, Salloum, Aherne, Thomas, Barry, Mary, Bowen, Gareth John, Boyle, Ellen, Dowdall, Joseph, Hanly, Ann, Hassanin, Ahmed, Heneghan, Helen, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Martin, Sean T, Masarani, Nawar, Mccartan, Damian, Mcdermott, Enda W, Murphy, Ben, Kin Cheung, Ng, Njeze, Nwabundo, O’Neill, Aine, Prichard, Ruth S, Quirke, Ned, Reynolds, Ian Sean, Winter, Des, Casey, Rowan, Elamin, Mutaz, Gillis, Amy, Kavanagh, Dara, Kelly, Michael, Mcnamee, Áine, Neary, Paul, Owens, Patrick, Ravi, Akshaya, Ridgway, Paul, Carroll, Paul, Collins, Chris, Dhannoon, Amenah, Fowler, Amy, Hogan, Aisling, Lowery, Aoife, Mcanena, Peter, Timon, Charlie, Walsh, Stewart, Al‐ramli, Wisam, Azeem, Imran, Bahadoor, Muhammad Usaama, Bodnar, Zsolt, Elmusharaf, Hassan, Hassan, Faisal Saeed, Hingum, Adam, Huan, Huilun, Jennings, Seamus, Khalid, Mohamed Hamed, Kuteva, Mariya, Mujtaba, Syed Nadeem, Peeriyah, Shanell, Rehman, Hina, Sarwar, Muhammad Assam, Shaju, Tony, Stephens, Ian, Sugrue, Michael, Thomas, Joseph, Varzgalis, Manvydas, Zeeshan, Saqib, Jaffer, Alisha, Jones‐whiting, Larne, Peirce, Colin, Johnston, Sean, Lim, Seantee, Abdelgadir, Alwaleed, Al‐mukhaizeem, Youssef, Cooke, Fiachra, Crowley, Clare, Cullen, Ivor, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Martinez, Claudia Guerrero, Hamza, Mohamed Alfatih, Hassan, Mekki, Hegazy, Ibrahim, Hill, Rhodri, Kazim, Amr, Khalid, Azriny Shaziela, Khalid, Muhammad Abdullah, Majeed, Zubair, Manning, Aidan, Mccullough, Peter, Murphy, Seamus, Neary, Peter, Noone, Anthony, O’Donoghue, Gerrard, O’Kelly, John, Odonnell, Eddie, Osman, Elaf, Ryan, Jessica, Saeed, Rafeh, Arar, Ahmad Abo, Abed, Arsan Abu, Dykman, Daniel, Elnassasra, 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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, 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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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Ferdinando, Sileri, Pierpaolo, Spina, Alfio, Vignali, Andrea, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Di Tomasso, Nora, Fresilli, Stefano, Landoni, Giovanni, Lazzari, Stefano, Lombardi, Gaetano, Marmiere, Marilena, Monaco, Fabrizio, Todaro, Gabriele, Turi, Stefano, Zangrillo, Alberto, Bertolina, Francesca, Bogani, Giorgio, Bonomi, Stefano, Cadenelli, Pierfrancesco, Chiappa, Valentina, Cioffi, Stefano Piero Bernardo, Citterio, Davide, Comini, Lara Valentina, Cortinovis, Umberto, Cosimelli, Maurizio, Ditto, Antonino, Gennaro, Massimiliano, Giannini, Lorenzo, Guaglio, Marcello, Guzzo, Marco, Leva, Andrea, Macchi, Alberto, Manzo, Elena, Martinelli, Fabio, Mattavelli, Ilaria, Mazzaferro, Vincenzo Maria, Raspagliesi, Francesco, Rolli, Luigi, Sala, Laura, Salvioni, Roberto, Santinami, Mario, Segattini, Silvia, Sorrentino, Luca, Zaborra, Carlotta, Anesi, Alexandre, Pattacini, Gianmaria Casoni, Di Bartolomeo, Mattia, Pecchini, Francesca, Pellacani, Arrigo, Piccoli, Micaela, 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, Moggia, Elisabetta, Murgese, Alessandra, Agro, Felice Eugenio, Capolupo, Gabriella Teresa, Carannante, Filippo, Caricato, Marco, Denaro, Vincenzo, Mazzotta, Erica, Papalia, Rocco, Pascarella, Giuseppe, Strumia, Alessandro, Zampogna, Biagio, Cinquepalmi, Matteo, Colasanti, Marco, Del Basso, Celeste, Falaschi, Federica, Guglielmo, Nicola, Meniconi, Roberto Luca, Pecoraro, Alessandra, Usai, Sofia, Crescentini, Giacomo, Larcinese, Antonella, Picone, Emanuele, Sinibaldi, Giovanni, Agnes, Annamaria, Agnes, Salvatore, Alfieri, Sergio, Belia, Francesco, Bianchi, Valentina, Bianco, Giuseppe, Biondi, Alberto, Campennì, Paola, Cozza, Valerio, D’Archi, Sabatino, D’Ugo, Domenico, De Simone, Veronica, Di Grezia, Marta, Di Lorenzo, Sofia, Ferracci, Federica, Fico, Valeria, Franceschini, Gianluca, Fransvea, Pietro, Gasparini, Giulio, Gordini, Luca, La Greca, Antonio, Litta, Francesco, Lombardi, Celestino Pio, Marra, Angelo Alessandro, Parello, Angelo, Pascale, Marco Maria, Patini, Romeo, Pepe, Gilda, 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, Clarizia, Guglielmo, Fleres, Francesco, Franzini, Marco, Fratto, Antonio, Giumelli, Pierluigi, Grechi, Alessandro, Longhini, Alessandro, Lorusso, Fabrizio, Scarnecchia, Elisa, Scolari, Federica, Spolini, Alessandro, Maiuri, Vincenzo, Papandrea, Matteo, Roncone, Arturo, Conti, Lorenzo, Rizzi, Andrea, Rovagnati, Marco, Brolese, Alberto, Cai, Tommaso, Ciarleglio, Francesco Antonio, Dalprà, Francesca, Malossini, Gianni, Mereu, Liliana, Tamanini, Irene, Tateo, Saverio, Viel, Giovanni, Battistella, Enrico, Rizzo, Paolo Boscolo, Fabbris, Cristoforo, Massani, Marco, Spinato, Giacomo, Tutino, Roberta, Grossi, Ugo, Iacomino, Alessandro, Novello, Simone, Romano, Maurizio, Rossi, Serena, Santoro, Giulio, Zanus, Giacomo, Trungu, Sokol, Aizza, Giada, Bellio, Gabriele, Bogoni, Selene, Bortul, Marina, Casagranda, Biagio, Cortinovis, Sara, Manzini, Nicolò, Drigo, Davide, Germani, Paola, Mastronardi, Manuela, Paiano, Lucia, Palmisano, Silvia, Filosso, Pier Luigi, Guerrera, Francesco, Marro, Matteo, 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, Petrauskas, Donatas, Samalavicius, Narimantas Evaldas, Simcikas, Dainius, Slepavicius, Algirdas, Tamosiunas, Albinas, Turskis, Vaidotas, Vasiliauskas, Bernardas, Aniukstyte, Laura, Dulskas, Audrius, Januška, Gediminas, Kuliavas, Justas, Montrimaite, Margarita, Cekauskas, Albertas, Kaminskas, Azuolas Algimantas, Kozenevskis, Sarunas, Poskus, Tomas, Strupas, Kestutis, Zelvys, Arunas, Decker, Georges, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Lucas, Randimbinirina Zakarimanana, Andriantsoa, Herimampionona E, Rasamoelina, Mamisoa B, Vatosoa, Rakotonarivo Aina Andrianina, Andriamanana, Liantsoa, Finaritra, Casimir FP Rahantasoa, Raherison, Aristide Romain, Rajaobelison, Tsirimalala, Rakotoarisoa, Haritiana, Ramifehiarivo, Maharo, Ranaivoson, Solonirina Harinarindra, Randriantsoa, Hajamihamina Marina Parfaite, Razafimanjato, Narindra Njarasoa Mihaja, Razafindrahita, Jeannie BA, Solofoarimanana, Solofoarimanana, Tsiambanizafy, Guillaume Odilon, Judicaël, Rakotonaivo Mamisoa, Solo, Corinne Eulalie, Ralaizafindraibe, Tojomamy Herinjaka, Andofenohasina, Fanonjomahasoa Safiry, Rasataharifetra, Hanta, Razafindraibe, Vanona Barijaona, Herinirina, Angelin Sablon, Das, Andre, Ganapathy, Thanga, Gunarasa, Yohesuwary, Mariapan, Kalyani, Muniandy, Maathichsudhaar, Osman, Mohd Firdauss, Azmi, Mohd Azem Fathi Mohammad, Soh, Jien Yen, Zain, Wan Zainira Wan, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Chan, Kheng Hooi, Hayati, Firdaus, Johan, Syamim, Mah, Jin Jiun, Sriram, Ratha Krishnan, Subramaniam, Sentilnathan, Shahimi, Nur Shahirah Binti Muhammad, Hamdan, Khairul Hazim, Ibrahim, Mohd Razali, Muthkumaran, Guhan, Tan, Ju Ann, Thanapal, Mohana Raj, Aziz, Dayang Anita Abdul, Bastion, Mae‐lynn, Harun, Mohd Hairul Nizam, Imran, Farrah‐hani, Din, Norshamsiah Md, Zain, Ayesha Mohd, Mustapha, Mushawiahti, Nabil, Syed, Naffi, Ainal Adlin, Nazimi, Abd Jabar, Ramli, Roszalina, Soon, Bee Hong, Bal, Pavin, Cheng, Joo Qing, Draman, Mohd Rusdi, Fadzli, Ahmad Nazran, 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, Ramisha Naseer, Niazi, Fuad Ahmad Khan, Saleem, Maleeha, Saleem, Bushra, Saleem, Tayyaba, Shabbir, Raja Khalid, Shakir, Imtiaz Ahmed, Ahmad, Ashfaq, Awan, Surgeon Hafiz Riaz Hussain, Bhatti, Waqar, Shaheen, Azka, Awad, Hadeel, Mohamad, Balqees, Wafi, Dalia, Jayyab, Mustafa Abu, Toman, Hitham, Abu‐arish, Hamdoon, Al‐slaibi, Ibrahim, Alzeerelhouseini, Hussam I. 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, Juan Carlos, Espinola, Carla, Estigarribia, Lujan, Fernandez, Celso Ariel, Ferreira, Rocio, Figueredo, Blas, Fleitas, Daniel, Fretes, Claudia, Fretes, Martin, Gonzalez, Walter Rene Fretes, Ruiz, Humberto Nicolas Galleano, Gauto, Julio, Gauto, Claudia, Gomez, Viviana, Gómez, Nadia, Insfran, Osvaldo, Karina, Liz, Legal, Christian, Llanes, Oscar, Martínez, Walter, Torres, Walter Rodrigo Martínez, Matsumura, Kiichiro, Galván, Esteban Daniel Mendoza, Noguera, Leila Mereles, Mora, Sergio, Navarro, Daniel, Roman, Lidia Noguera, Núñez, Analia, Ocampos, Lorena, Rojas, Alma Maria Ojeda, Villasboa, Derlis Joel Ojeda, Palacios, Juan, Sosa, Jessica Pamela Portillo, Ramírez, Rossana, Ramos, German, Samudio, Diego, Acosta, Jorge Eduardo Sisa, Tellez, Rodney, Urquhart, Porfiria, Vera, Beatriz, Florentin, Jorge David Vera, Vidallet, Daniel, Villalba, Gilce Teresita, Vömel, Jacob, Aquino, Laura, Martinez, Marisa Natalia, Patiño, Cesareo Saldivar, Aguayo, Omar, Aguilera, Maria Esther Ferreira, García, Federico, Giangreco, Maria, Osorio, Derlis, Sosa, Cynthia Marlene Rodríguez, Villanueva, Paulo, Rolon, Sandra Elizabeth Centurion, Ohara, Rozana, Portillo, Juan Marcelo, Cano, Ruben Milciades Varela, Melgarejo, Juan Manuel Baez, Candia, Francisco Vidal, Chirico, Carlos, Pineda, Sofia Belen Diaz, Vera, Diego Alfonso Paiva, Valdovinos, Ayrton Facundo, Velazquez, Dahiana Fatima, Arriola, Diego Raul Abente, Britos, Analia, Cantero, Daniel, Centurión, Jessica, Bareiro, Ricardo Ignacio Olmedo, Duarte, Dayhana, Paredes, Susana, Rojas, Carlos Pfingst, Delgado, Angel Luis Agüero, Godoy, Juan Marcelo Delgado, Lohse, Helmut Alfredo Segovia, Benitez, Oscar, Luraschi, Victor, Molinas, Joel, Añasco, Dulce, Barreto, Alejandro Arévalo, Rivaldi, Cristhian Chavez, Chenu, Martin, Garcia, Luz, Godoy, Rosana, Gustavo Miguel Machain, V, Velázquez, Maria Jose Martinez, Alvarenga, Brayan David Pedroso, Gonzalez, Agustin Rodriguez, Sánchez, Rosa, Sánchez, María Liz, Lohse, Herald Rene Segovia, Segovia, Cesar Giuliano Sisa, Cuenca, Osmar, Melgarejo, Sara, Ferreira, Ever David Sosa, Anaya, Estefany Angela Flores, Huallanca, Evy Yamil Huaman, Palma, Karla Melissa Marchan, Palomino, Liliam, Ordemar, Jorge, Quiroz, Manuel, Sarabia, Victor Diego Caballero, Lozano, Christian, Torres, David, Castro, Henry Rafael Acosta, Bayona‐alvarado, Gabriel, Cruz, Joao, Lizzetti, Grecia, Morales, Victor Vasquez, Ormeño, Martin, Ortiz, Liz, Roca, Kewin Quispe, Quispe‐cruz, Darwin Artidoro, Sanz, Edgar, Poma, Katherine Tataje, Seto, Gaby Susana Yamamoto, Palacios, Carlos, Mejia, Juan Francisco Pintado, Barandiaran, Jose Maria Silva, Huaman, Eduardo, Gamonal, Guillermo Enrique Reyes, Carmelo, Claudia Suazo, Condori, Diana Lizet Cruz, Valverde, Jose Vasquez, Cabrera, Cesar Alberto Vergel, Diaz, Consuelo, Caturiny, Angie Paredes, Salazar, Adolfo, Estupiñan, Joel Jesús Sánchez, Vaez, Marco Sandoval, Arangoytia, Roy, Berrospi, Francisco, Polo, Jorge Luis Bustamante, Coaquira, Jimmy Cárdenas, Escalante, Fernando Cárdenas, Armestar, Darwin Oliver Desposorio, Mora, Sheyla Katherine Diaz, Laura, Jheff, Blanco, Aldo Lopez, Garcia, Karoll Tatiana Meza, Moreno, Jaime, Payet, Eduardo, Villena, Joan Perez, Cardenas, Daniel, Barrionuevo, Luis Alcides García, Valencia, Miguel Roberto Li, Doria, Percy Mansilla, Escalante, Fiorella Palomino, Coronado, Mónica Falcón, Rocha, Pamela Valderrama, Edinson, Ulbar, Huarcaya, Vladimir Laureano Velasquez, Abella, Andrei Cesar, Andal, Carmela, Anoso, Willmar, Bejasa, Monica Maria, Cuasay, Aldrin, Fernandez, Jesus, Mercado, Eunice, Moreno, Amabelle, Palines, Alejandro, Regalado, Trina, Unira, Cristeta, Yacapin, Clarence Pio Rey, Cajucom, Carlo Angelo, Cueto, Mary Anne Carol, Ramos, Charmagne Loren, David, Avril, Merin, John Isaac, Roxas, Alberto, Candelario, Nipseey Pauloe, Lopez, Marc Paul, Ramos, Ramon Alberto, Violago, Khrissa Lea Elisa, Benosa, Yvann Kenneth, De Leon, Louie Czelline, Esguerra, Marlow, Filarca, Rene Luis, Gaddi, Corina, Gagno, Patrick Jovan, Guerra, Jeffy, Morla, Angelica Aubrey, Opano, Rivero, Penserga, Edgardo, Tesil, Mark Jheric, Turingan, Hazel, Aldana, Joel, Almelor, Alyssa Carmina, Almora, Jaime JR, Ang, Angeli Anne, Arada, Maria Angelica, Arbizo, Jeric, Barretto, Diana, Baticulon, Ronnie, Chan, Kevin Ivan P., Cruz, Elmer Jason, Grano, Pauleen, De Leon, Juan Gabriel, De Pano, Jojiemar, Dealino, Maria Angela, Mundo, Daryl Anne, Del Mundo, Hans Jesper, Dela Victoria, Czarlo, Delgado, Juan Miguel Roberto, Detran, Jan Erik, Diaz, Robert Zaid, Dinoy, Edward Arlu, Domingo, Efren, Dulnuan, Heather Grace, Patricio, Dumlao, Elises, Carlo, Estrella, Emmanuel, Flor, Joan Marie, Gana, Grace, Bynlee Stuart, Go, Hilvano‐cabungcal, Ana Melissa, Cesar, Jacinto, Lacuata, Jan Alexeis, Lapitan, Marie Carmela, Laudato, Renee Leen, Legaspi, Gerardo, Ryle, Li, Lobo, Liana Mae, Lukban, Claudine, Macapugay, Christopher John, Magsanoc, Nikko, Manalang, Enrique, Montemayor, Jon‐alexis, Notario, Jaysonnel, Santos, Jan Armelynn, Sarmiento, Abigail, Serrano, Dennis, Siahetiong, Samantha, Solis, Krisniel Florence, Sotalbo, Denorson, Tongol, Erik, Ursabia, Germaine, Patricia Ann, Uy, Valeros, Charmaine Grace, Velasco, Karen Joyce, Venida, Vincent, Yap, Hans Edison, Zamora, Mario Angelo, Agoncillo, Anika Johanna, Antonio, David Vincent, Bangayan, Nicole Robyn, Castro, Marinelle, Estanislao, Grace Lynn, Ganal‐antonio, Anne Kathleen, Ibrahim, Faiyazudin Amado, Jarin, Peter, Ching, Laine Valerie Kongsun, Lim, Josephine Alexandra, Nazal, Mariles, Vaño, Amanda May Ong, Racelis, Louie, Ramos, Kirsten, Reyes, Jeryl Anne Silvia, Rivera, Ron Daniel, Salud, Jose Antonio, Sarte, Elva Marita, Dale Kingsley, Sy, Tancinco, Eileen Grace, Torio, Anna Mariel, Avegail Niña, Uy, Abary, Ryan Rainiel, Jesus, Dabalos, Siquian, Vincent, Yabut, Kenneth, Barcelon, Jose Carlos, Carballo, Inez, Chiu, Jo Ann, Nacion, Aeris Jane D., Pędziwiatr, Michał, Rymarowicz, Justyna, Bobiński, Marcin, Kotarski, Jan, Rasoul‐pelińska, Karolina, Futyma, Konrad, Miotla, Pawel, Rechberger, Ewa, Koczy, Bogdan, Szyluk, Karol, Botelho, Pedro, Lopes, Mariana Branco, Cismasiu, Brigitta, Costa, Paulo Matos, Fallah, Jean‐michel, Freitas, Gonçalo Teodoro Fernandes, Ferreira, Filipa, Nobre, José Guilherme Gonçalves, Henriques, Susana, Lino, Rui, Macedo, Alexandre, Mendes, Cláudia, Barreira, Ana Lúcia Preto, Ramos, Nuno, Rodrigues, Susana Candeias, Santos, Catarina Rolo, Pedro, Ricardo São, Silva, Melissa, Sousa, Carla, Ribeiro, Rui, Santos, José, Alves, Ricardo, Teles, Tobias, Sousa, Liliana B., Carvalho Carvalho, Dulce Helena Ferreira, Soares, Rui Costa, Costeira, Cristina, Graveto, João, Jordão, Daniel Martins, Paiva‐santos, Filipe, Parreira, Pedro, Sousa Salgueiro Oliveira, Anabela, Azevedo, Constança, Machado, Daniela, Semião, Miguel, Bolota, Joana, Cinza, Ana Margarida, Cotovio, Manuel Damasio, Leandro, Sofia, Oliveira, Joana, Lima, Rita Pedroso, Pereira, Mário, Velez, Cristina, Cardoso, Nicole, Domingues, Joana Cristina, Henriques, Pedro, Manso, Maria Isabel, Martins, Ruben, Santos, Gildasio Martins, Morais, Henrique, Pereira, Rute, Revez, Tatiana, Ribeiro, Vera Inês, Ribeiro, Ricardo, Sousa, Sandra, Teixeira, João, Cabral, Ana, Rodrigues, Catarina S., Alves, Paulo, Ferreira, Gonçalo, Neves, Miguel, Rama, Nuno, Sousa, Inês, Almeida, Mafalda, Morais, Ricardo Bettencourt, Campos, Ana, Caroça, Cristina, Bártolo, Mariana Couto, Galindo, Luis, Girao, Ricardo, Pais, José, Vaz, Carlos, Messias, Jose Henrique Albuquerque, Silva, Francisca Brito, Fonseca, Filipa, Maurício, Sandra, Peyroteo, Inês, Ramos, Rodrigo, Salgado, Inês, Santos, Patrícia, Forte, Joana Patena, Santos, Ema, Costeira, Beatriz, Neves, Filipe, Ourô, Susana, Ferreira, Marisa Peralta, Fernandes, Mafalda Sousa, Almeida, Joana Isabel, Almeida Pinto, João, Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), GlobalSurg Collaborative, Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Graduate School, AGEM - Endocrinology, metabolism and nutrition, ARD - Amsterdam Reproduction and Development, Paediatrics, Tytgat Institute for Liver and Intestinal Research, Nepogodiev, D., Simoes, J. 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S., Martinez, L., Martinez, M. J., Nayen, A., la Medina, A. R. -D., Nunez, J., Nashidengo, P. R., Shah, R., Shrestha, A. L., Jonker, P., Kruijff, S., Noltes, M., Steinkamp, P., Wright, D., Abdur-Rahman, L., Ademuyiwa, A., Adisa, A., Osinaike, B., Seyi-Olajide, J., Williams, O., Williams, E., Pejkova, S., Al Balushi, Z., Sayyed, R., Mohsen, M. A., Abukhalaf, S. A., Cukier, M., Gomez-Fernandez, H., Yip, S. S., Ojeda, X. P. V., Sacdalan, M. D., Major, P., Azevedo, J., Cunha, M. F., Zarour, A., Bonci, E. -A., Negoi, I., Efetov, S., Kochetkov, V., Litvin, A., Ingabire, J. A., Bucyibaruta, G., Faustin, N., Habumuremyi, S., Imanishimwe, A., de Dieu, H. J., Munyaneza, E., Ncogoza, I., Ndong, A., Radenkovic, D., Chew, M. H., Koh, F., Ngu, J., Panyko, A., Bele, U., Kosir, J. A., Daoud, H., Bravo, A. M. M., Jayarajah, U., Wickramasinghe, D., Adam, M. E. A. E., Rutegard, M., Sund, M., Adamina, M., Gialamas, E., Horisberger, K., Alshaar, M., Huang, A., Lohsiriwat, V., Charles, S., Jlassi, H., Isik, A., Lekuya, H. M., Kopetskyi, S., Alsaadi, H., Alshryda, S., Alser, O., Bankhead-Kendall, B., Breen, K., Mashbari, H., Cal, F. B., Al-Naggar, H., Maimbo, M., Mazingi, D., Abbott, T., Akhbari, M., Benson, R., Bhanderi, S., Biccard, B., Caruana, E., Chakrabortee, S., Chapatwala, R., Costas-Chavarri, A., Demetriades, A. K., Desai, A., Di Saverio, S., Drake, T., Edwards, J., Evans, J., Fiore, M., Ford, S., Fotopoulou, C., Fowler, A., Futaba, K., Ganly, I., James, H. G., Griffiths, E., Gronchi, A., Hutchinson, P., Hyman, G. Y., Incorvia, J., Jain, R., Jenkinson, M., Khan, T., Knight, S. R., Kolias, A., Kudsk-Iversen, S., Kwan, T. Y., Leung, E., Mayol, J., Mckay, S., Meara, J. G., Mills, E., Moug, S., Patel, A., Perinotti, R., Rice, H. E., Roberts, K., Schache, A., Shaw, R., Smart, N., Stephens, M., Stewart, G. D., Teasdale, E., Vaughan-Shaw, P., Vidya, R., Wright, N., Zimmelman, N., Agastra, E., Thereska, D., Lucchini, S. M., Laudani, V., Chwat, C., Salazar, I. I. P., Pachajoa, D. A. P., Duro, A., Arancibia, J. A. C., D'Aulerio, G., Dudi-Venkata, N., Egoroff, N., Farik, S., Lott, N., Moss, J. -L., Rennie, S., Tan, L., Vo, U. G., Watson, D., Watters, D., Bright, T., Hollington, P., Zhou, X., Kroon, H. M., Farfus, A., Barker, J., Watson, E., Stevens, S., Latif, H., Dawson, A. C., Chuan, A., Muralidharan, V., Wong, E., Ackermann, T., Pacilli, M., Hodgson, R., Heriot, A., Choong, P., Brown, W., Lidder, S., Yeung, J., Traeger, L., Regalo, G., Gourlay, R., Badiani, S., Koh, C., Putnis, S., Haider, F., Mitul, A. R., Komen, N., Dhondt, B., Cappeliez, S., Pigeolet, M., Schoneveld, M., Stijns, J., Oosterlinck, W., Flamey, N., Kpangon, C., Agbadebo, M., Tobome, S. R., Barros, A. V., Junior, S. A., do Amaral Campos, H. G., Gross, J., Coimbra, F. J. F., Kowalski, L. 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Y., Ghozy, S., Sallam, A., Shehta, A., Abdelkhalek, M., Samaka, R., Morsy, A., Sherif, A. E., Negussie, A., Fisseha, T., Shumbash, K., Abebe, M., Yasin, S. M., Akililu, Y. B., Megersa, A., Tefera, T., Assefa, M., Atnafu, B., Tsegaye, B., Bezabih, Y. S., Sisay, S., Bekele, K., Jira, M., Derilo, H., Degefa, E., Tadesse, A., Nidaw, M., Sarjanoja, E., Testelin, S., Boucher, S., Jouffret, L., Lakkis, Z., Le Bian, A. Z., Harper, L., des Deserts, M. D., Andre, B., Slim, K., Verhaeghe, R., Police, A., Girard, E., Chebaro, A., Nkembi, A. S., Arnalsteen, L., Ballouhey, Q., Mege, D., Jeandel, C., Duchalais, E., Bouche, P. -A., Manceau, G., Cretolle, C., Hervieux, E., Girard, N., Seguin-Givelet, A., Gaujoux, S., De Simone, B., Boisson, M., Bergeat, D., Fredon, F., Nappi, F., Kassir, R., Scalabre, A., Migliorelli, F., Ezanno, A. -C., Seeliger, B., Vaysse, C., Charbonneau, H., Misrai, V., Abbo, O., Angeles, M. A., Brunaud, L., Modabber, A., Wolf, S., Kamphues, C., Hohn, P., Glowka, T. 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K., Thakar, S., Jain, K., Kumar, A., Nagar, M., Mishra, T., Sekar, A., Gupta, A., Kaman, L., Karthigeyan, M., Tripathi, M., Rammohan, A., Vayoth, S. O., Rajanbabu, A., Subbian, A., Gupta, R., Raut, M., Evelyn, N., Kannaiyan, R. L., Matai, A., Misra, S., Bhende, V., Muthu, S., Ghosh, I., Sharma, A., Bajaj, A., Rajan, S., Agarwal, G., Pawar, P., Alexander, P., Vijayakumar, M. V., Hameed, Z., Badareesh, L., Chaudhry, N. K., Baliarsing, L., Dharap, S., Kulkarni, A., Thyavihally, Y., Sharma, R. D., Pramesh, C. S., Soni, R., Dube, S. K., Sharma, S., Singh, H., Bains, L., Ghodke, R., Sodhai, V., Maji, S., Basu, S., Mahakalkar, C., Kannan, R., Mehraj, A., Ranganath, N., Phadnis, A., Yadev, I., Kavalakat, A., Mittal, R., Vallam, K. C., Akhavizadegan, H., Maleki, E. R., Kandevani, N. Y., Ikele, H., Mcnestry, C., Fleming, C., O'Brien, S., Elwahab, S. A., Davis, N., Javadpour, M., Mcdonnell, B., Connor, C. O., Bolger, J., Clancy, C., Croghan, S. M., Donlon, N., Cullinane, C., Creavin, B., Muheilan, M., Earley, H., Kabir, S. M. U., Fahadullah, M., Ryan, E., Connelly, T., Hashimoto, D., Alqudah, M. A., Alajalen, A., Omari, R. Y., Qasem, A., Alawneh, Y., Ahmad, A., Aladawi, O., Alrayes, B., Haidar, H., Husain, S., Qassem, F., Sumadi, A., Salhiyeh, A. A., Al-Manaseer, B. M., Alsunna, Z., Ra'Ed, H., Hamad, F. R. B., Abuleil, A., Jimaale, E. A. M., Abu-Mehsen, M., Olaywah, N., Wafi, O., Ababneh, H., Abu-Ismail, L., Khamees, A., Alkhatib, A., Bolatbekova, R., Kulimbet, M., Nurgozhin, T., Saliev, T., Zhussupov, B., Almabayev, Y., Kaidarova, D., Tamoos, K., Aqeelah, A., Mohammed, A. A. K., Al Maadany, F., Alkadeeki, G., Gahwagi, M., Aldressi, W., Amnaina, M., Alansari, A. H. A., Alkaseek, A., Yagoub, G., Amer, A. B., Salem, M., Almugaddami, A., Burgan, D., Abdelkabir, M., Alshareef, K., al Islam Ben Jouira, R., Meelad, A., Bouhuwaish, A., Dwaga, S. 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S., Shaheen, A., Mohammed, Y. S., Shehata, A., Shemeis, M., Shenit, K., Sheta, M., Soffar, A., Tanas, Y., Tarek, A., Yehia, N., Eid, O. K. M., Abdulfattah, A. Y., Elsaghir, A., Elganainy, M. F., Elsayed, O. I., Elmandouh, O., Hamam, O., Shehata, M. A., Abdelaziz, A. A., Abbas, A. M., El-Ghani, W. A., Abd Elazeem, H. A. S., Elsayed, M. A., Abd-Elkariem, A. Y., Abdalla, S., Abdel-Aleem, M., Abdelazeem, K., Abdelfattah, M., Abdelhafez, M., Abdelkarem, M. M., Abdelraouf, A., Abdullaha, L., Abubeih, H., Ahmed, M. E., Ahmed, N. E. A. E., Saad, S. A., Alaa, S., Alhussaini, A., Ali, A. A. A., Ali, I., Ali, W., Mohamed, M. A., Ashraf, M., Bassiouni, M., El-adawy, M. G., El-Sharkawi, M., Elkhayat, H., Elmaghraby, K., Elsdfy, S., Elsharkawy, M., Eltayeb, A., Mohamed, M. E., Essam, E., Fahd, M., Farouk, O., Gadelkareem, R., Ghoneim, A., Takrouney, M. H., Hamdan, A., Hamed, A. E. -R., Hasan, A., Hassanin, M. A., Hawal, I., Henes, K., Herdan, M. O., Hetta, H. F., Ibrahem, O., Ibrahim, I. H., Kamel, M., Khallaf, M., Elghazaly, S. M., Mahfouz, A., Mahmoud, O., Mahran, W., Mahrous, D., Marsis, A., Hussein, A. M., Sayed, A. M., Mohammed, M. M., Mokhtar, A., Monib, F. A., Nageeb, A., Nageh, M. A., Nageh, M., Omar, N. G., Ragab, A., Ramadan, A., Temerik, A. R., Safwat, H., Salah, O., Mahmoud, A. E. S., Saleh, A., Sallam, M., Samir, A., Sayad, R., Sayed, E., Sedik, A. S., Shahine, M., Soliman, A., Soliman, W., Taher, M. G., Wanees, R., Yousof, E. A., Youssef, A., Elabedeen, O. Z., Hassan, A. E. S., Fattah, S. A., Abostate, A., Ali, S., Salama, S. A. S., Allam, M., Alsadek, A., Arafa, E., Barakat, A., El Sherpiny, M., Elbehairy, G., Eleisawy, M., Elgendy, A., Elhawary, R., Eltregy, S., Hamdy, M., Hassan, G., Khalifa, A., Mahmoud, A., Altukhy, A. M., Noah, K., Noureldin, Y., Nowar, M., Saad, M., Elsaeidy, A. S., Elsaeidy, K. S., Sabry, H., Sameh, M., Said-elnaby, A. T., Zahed, M., Zahran, M., Zaid, A., Zoghary, A. Z., Atef, M., Abdelhamid, M. H. S., Alazab, E., Awad, A. K., Darwesh, A., El Fiky, L., Elgarhy, I., Nassef, M. A., Shaban, M., Shalaby, M. M. M., Wahba, A., Fouad, O. Y. O., Elsadek, M., Gad, D., Abdelsamed, A., Bayomy, A., Elsalhy, M., Fahim, A., Seleim, A., Afifi, E., Gamal, F. A., Gamal, M., Eldesouky, O., Eldwini, M. H. E. E., Fahmy, M. M. F., Hussein, A., Ouf, A., Sami, O., Shaat, S., Bahi, A. W. M. K., Atea, A., Gamal, I., El Kassas, M., Omar, W., Tawheed, A., Al-oribi, S., Aly, N. K., Elfiky, M., Elmaghraby, A. E., Elrahmany, A., Elsherbeeny, M., Helmy, Y., Nabil, A., Farahat, A. S., Soliman, M., Wassef, A., Abdelrahman, A., Elsaban, S., Ghaly, G., Hamdy, R., Mondy, H., Abdallah, L., Darwish, A. K. Z., Rabea, M., Azab, M. A., Abbas, A. S., El-Deeb, M., Fawzy, M., Ibraheem, M., Bakry, A., Elnems, S., Elsheikh, R., Gbreel, M. I., Hafez, M., Jammal, M., Hamam, K. M., Makram, A. M., Makram, O. M., Rabie, S., Askalany, S. Y., Abushanab, M. M. I., Eid, A., El Ghalid, M. R. I. A., Abdelaty, A. A., Fayad, E. A., Radwan, A., Shokry, A., Farouk, A. M., Elfallal, A., Elfeki, H., Elsaeed, M., Elsaid, M., Makroum, A., Elsaid, D. M., Mostafa, M., Omar, M. W., Rezk, M., Sakr, A., Sanad, A., Shalaby, M., Shawqy, M., Shetiwy, M., Shoma, A., Tawakl, N., Yunes, A., Abouzid, A., Atallah, K., Elmorsi, R., Elsherbini, A., Gaballa, K., Hamdy, O., Metwally, I. H., Refky, B., Zuhdy, M., Zahran, M. A., Abdellah, F., Abdelmawla, A., Abdrabou, A., Abubakr, A., Al Gohary, R., Al-Shazly, M. H., Allam, A. R., Aposaeeda, A., Asfour, M., Ayman, A., Omran, A. A., Daghash, I. T., Ebada, M. A., Eid, T., El Kelany, A., El Shemy, E., El-Hag-Aly, M., Elgamal, O., Elghoury, M., Elkased, A. F., Ellakwa, T. H., Ellakwa, H., Elmeanawy, A., Elnoamany, S., Elsabagh, A., Elsawey, A., Elshabrawy, E., Elshakhs, S., Elsoudy, N., Ezzat, E., Fawzy, A., Gamal, A., Gameel, A., Gharbia, K., Ghonaim, M., Ghonaim, A., Hafez, A., Ismail, Z., Khaled, M., Meselhy, M., Mikhail, P., Mougahed, M., Mustafa, A., Nada, A., Omran, J., Ebiad, M. S., Saleh, I., Salem, N., Salem, O., Selim, S., Shalaby, G., Sherif, H., Soltan, H., Wahbah, M., Abdelbary, E. Z., Zayan, A. H., Afify, A., Hadiya, H. A., Elshref, M. J., Ahmed, M. M., Nasser, N., Abdeldayem, H., Salama, I. A., Ammar, K., Ayoub, I., Badawy, M. T., Balabel, M., Fayed, Y., Gad, E. H., Gomaha, M., Hammad, E., Hegazy, O., Hegazy, E., Ibrahim, T., Kallaf, M., Macshut, M., Magdy, A., Oteem, A., Samaan, S., Sharshar, M., Shoreem, H., Soliman, E., Soliman, H. E., Yassein, T., Zakaria, H., Eldaly, A., Mashaly, S., Abd-Elsalam, S., Abdel-Elsalam, W., Shaalah, A. A., Elbahnasawy, M., Elhalaby, I., Hamada, M., Soliman, S. H., Hawila, A., Morsy, M. S., Naieem, M., Nasreddin, M., Salman, S., Sarsik, S., Shabana, A., Tolba, E., Zagho, M., Kams, L., Ratsep, T., Riips, K., Abdurehman, O., Admasu, A., Berhea, A., Eado, Y., Hailu, N., Kidane, M., Mohammed, A., Mohammed, K., Tibelt, A., Woldemariam, M. A., Yonael, L., Alemu, M., Aklilu, A. T., Asele, F., Assefa, S., Azmach, D., Bekele, P., Mamo, M., Maru, N., Mekuria, H., Menkir, A., Mikru, F., Siraw, E., Suga, H., Sumoro, N., Teka, A., Thomas, E., Woldemariam, D., Wubishet, E., Abebe, E., Abebe, K., Asfaw, F., Bergene, E., Eshete, M., Gebrehiwot, F. G., Gedefaw, Y., Mengesha, M. W., Mengiste, N., Menjeta, A., Muleta, M. B., Sefera, S., Tedla, Y., Teklu, D., Teshome, H., Tirfe, L., Tsegabrhan, S., Tsehaye, M., Worku, B., Molla, M., Supha, M., Taye, T., Abebe, N., Alemu, B., Chanie, A., Degefu, H., Desalegn, D., Gebre, H., Hussen, H., Kassa, D., Laeke, T., Mammo, T. N., Negash, S., Sahlu, A., Tiruneh, A. G., Wolde, A., Woldeselassie, H. G., Ahmed, M. Y., Zewdneh, B., Fentaw, J., Salia, S., Tabore, K., Gurara, A., Abreha, T., Abrha, T., Beyene, G., Weldu, M. A., Abdissa, D., Tesfaw, M., Wolle, M., Asmamaw, D., Assefa, B. Z., Bedane, D., Bekele, E., Getie, A., Melkamu, S., Mengesha, W., Shumye, G., Tagele, G., Tesfa, A. 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. P., Bettoni, J., Dakpe, S., Devauchelle, B., Lavagen, N., Bastard, F., Bin, K., Breheret, R., Fouquet, O., Gueutier, A., Henric, N., Kahn, A., Kun-Darbois, J. -D., Moukoko, D., Pineau, A., Podevin, G., Schmitt, F., Alshawared, F., Beyrne, C. D., Lugans, L., Marie-Macron, L., Doussot, A., Ahmed, O., Alnajjar, L., Mis, T. C., Fliss, S., Giocanti-Auregan, A., Gregory, T., Guiraudet, P., Le Fouler, A., Martinod, E., Onorati, I., Peretti, M., Quilichini, J., Radu, D., Tresallet, T., Andro, C., Maffert, A., Chapman, T., Halden, M., Fayon, J., Mattevi, C., Marion, H., Bendjemar, L., Lionel, C., Mikhael, E., Macias, R. M., Villefranque, V., Volpin, E., Trilling, B., Boleslawski, E., Constance, H. -L., Drubay, V., El Amrani, M., Eveno, C., Lecolle, K., Martin, L., Noiret, B., Piessen, G., Truant, S., Zerbib, P., Aubry, E., Denimal, F., Lamblin, A., Barrat, B., Caire, F., Christou, N., Fourcade, L., Laloze, J., Bouv-Hez, M. 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. 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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

13. Modelos de predicción multivariables para intubación orotraqueal difícil empleando laringoscopia directa: revisión sistemática y metasíntesis de la literatura

Author: D.S. Giraldo-Gutiérrez, J.E. Feliciano-Alfonso, David A. Rincón-Valenzuela, and Joaquín Octavio Ruiz-Villa
Subjects: 03 medical and health sciences, 0302 clinical medicine, Anesthesiology and Pain Medicine, 030202 anesthesiology, Intratracheal intubation, business.industry, Medicine, 030208 emergency & critical care medicine, Critical Care and Intensive Care Medicine, business, Humanities
Abstract: Resumen Contexto La via aerea dificil es un escenario relevante en anestesia por el impacto de sus consecuencias negativas. Ademas, persisten limitaciones en la capacidad de prediccion en la practica clinica actual. Metodos Revision sistematica de articulos en ingles y en espanol usando MEDLINE (Ovid), LILACS y Embase hasta marzo del 2018. Se empleo una estrategia de busqueda definida por los autores: los estudios identificados fueron organizados de manera paralela por los revisores en tablas previamente elaboradas para analizar cualitativamente los resultados de cada uno de ellos. Resultados Se identificaron 3.602 referencias, y 34 de ellas se incluyeron en la revision cualitativa. La definicion mas empleada de dificultad fue la clasificacion de Cormack-Lehane 3 o 4. Esta gradacion tuvo una incidencia media ponderada del 7,23%. El hallazgo mas relevante fueron las debilidades metodologicas en la obtencion de estas escalas. Conclusiones Los modelos de prediccion disponibles presentan discriminacion limitada. Hay debilidades en la metodologia que se ha empleado para el desarrollo de estas reglas de prediccion.
Published: 2022

14. Mortalidad atribuida al consumo de tabaco en las comunidades autónomas de España, 2017

Author: Iñaki Galán, A. Schiaffino, Alberto Ruano-Ravina, Gael Naveira, Agustín Montes, Nerea Mourino, Anna Mompart, Leonor Varela-Lema, Mónica Pérez-Ríos, Alexandra Giraldo-Osorio, María Isolina Santiago-Pérez, María Esther López-Vizcaíno, and Julia Rey
Subjects: 03 medical and health sciences, 0302 clinical medicine, business.industry, Medicine, 030204 cardiovascular system & hematology, Cardiology and Cardiovascular Medicine, business, Humanities
Abstract: Resumen Introduccion y objetivos Estimar la mortalidad atribuida (MA) al consumo de tabaco en las comunidades autonomas (CCAA) de Espana en poblacion de edad ≥ 35 anos en 2017. Metodos Se estimo la MA empleando un metodo dependiente de prevalencias basado en el calculo de fracciones atribuidas poblacionales. La mortalidad observada procede del Instituto Nacional de Estadistica; las prevalencias de consumo por sexo y edad, de la Encuesta Nacional de Salud de 2011 y 2017 y la Encuesta europea de 2014, y los riesgos relativos, del seguimiento de 5 cohortes norteamericanas. Se presentan estimaciones de MA y fracciones atribuidas poblacionales para cada comunidad autonoma por causa de muerte, sexo y edad y tasas de MA especificas y ajustadas. Resultados El tabaco causo 53.825 muertes en Espana en la poblacion de 35 o mas anos (el 12,9% de la mortalidad total). La carga de MA sobre la mortalidad observada varia del 10,8% en La Rioja al 15,3% en Canarias. Tras ajustar las tasas de MA por edad, las diferencias entre CCAA se mantienen, y las tasas mas altas en los varones se observan en Extremadura y en las mujeres, en Canarias. Las tasas ajustadas de los varones se correlacionan negativamente con las de las mujeres. El porcentaje que suponen las enfermedades cardiovasculares sobre la MA total de cada comunidad autonoma oscila entre el 21,8% de Castilla-La Mancha y el 30,3% de Andalucia. Conclusiones La carga de MA al consumo de tabaco varia entre las CCAA. Realizar un analisis detallado por regiones aporta informacion relevante para la implantacion de politicas sanitarias dirigidas a frenar el impacto del tabaquismo.
Published: 2022

15. Prognostic Value of Computed Tomography-Derived Fractional Flow Reserve Comparison With Myocardial Perfusion Imaging

Author: Talal Alnabelsi, Myra Cocker, Su Min Chang, Ahmed Ibrahim Ahmed, William A. Zoghbi, Faisal Nabi, Juan Carlos Ramirez-Giraldo, Mouaz H. Al-Mallah, John J. Mahmarian, Yushui Han, Mahmoud Al Rifai, Chris Schwemmer, and Neal S. Kleiman
Subjects: Male, medicine.medical_specialty, Computed Tomography Angiography, medicine.medical_treatment, Coronary Artery Disease, Fractional flow reserve, Coronary Angiography, Revascularization, Myocardial perfusion imaging, Percutaneous Coronary Intervention, Predictive Value of Tests, Internal medicine, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Myocardial infarction, Aged, Retrospective Studies, medicine.diagnostic_test, business.industry, Myocardial Perfusion Imaging, Percutaneous coronary intervention, Retrospective cohort study, Middle Aged, Prognosis, medicine.disease, Fractional Flow Reserve, Myocardial, Angiography, Conventional PCI, Cardiology, Female, Tomography, X-Ray Computed, Cardiology and Cardiovascular Medicine, business
Abstract: The aim of this study was to compare the incremental prognostic value of coronary computed tomography (CT) angiography (CCTA)-derived machine learning fractional flow reserve CT (ML-FFRct) versus that of ischemia detected on single-photon emission-computed tomography (SPECT) myocardial perfusion imaging (MPI) on incident cardiovascular outcomes.SPECT MPI and ML-FFRct are noninvasive tools that can assess the hemodynamic significance of coronary atherosclerotic disease.We studied a retrospective cohort of consecutive patients who underwent clinically indicated CCTA and SPECT MPI. ML-FFRct was computed using a ML prototype. The primary outcome was all-cause mortality and nonfatal myocardial infarction (D/MI), and the secondary outcome was D/MI and unplanned revascularization, percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) occurring more than 90 days postimaging. Multiple nested multivariate cox regression was used to model a scenario wherein an initial anatomical assessment was followed by a functional assessment.A total of 471 patients (mean age: 64 ± 13 year; 53% males) were included. Comorbidities were prevalent (78% hypertension, 66% diabetes, 81% dyslipidemia). ML-FFRct was 0.8 in at least 1 proximal/midsegment was present in 41.6% of patients, and ischemia on MPI was present in 13.8%. After a median follow-up of 18 months, 7% of patients (n = 33) experienced D/MI. On multivariate Cox proportional analysis, the presence of ischemia on MPI but not ML-FFRct significantly predicted D/MI (HR: 2.3; 95% CI: 1.0-5.0; P = 0.047; or HR: 0.7; 95% CI: 0.3-1.4; P = 0.306 respectively) when added to CCTA obstructive stenosis. Furthermore, the model with SPECT ischemia had higher global chi-square result and significantly improved reclassification. Results were similar using the secondary outcome and on several sensitivity analyses.In a high-risk patient cohort, SPECT MPI but not ML-FFRct adds independent and incremental prognostic information to CCTA-based anatomical assessment and clinical risk factors in predicting incident outcomes.
Published: 2022

16. Revisión del potencial de obtención de biohidrógeno a partir de microalgas en Colombia

Author: B Segura, F. N. Jiménez, and L. R. Giraldo
Subjects: Engineering, business.industry, Electrical engineering, Process (computing), General Medicine, Function (mathematics), Chronoamperometry, Square (algebra), Potentiostat, Electronic engineering, Range (statistics), business, Constant (mathematics), Voltage
Abstract: This article presents a low cost prototype potentiostat, which allows to control electrical variables in obtaining coatings by electrodeposition. The QFD (Quality Function Deployment) methodology was used as a planning tool in order to determine the characteristics that should have the potentiostat along the entire process of obtaining the prototype. The development of the research was based on the design and implementation of a prototype potentiostat that can handle three basic functions of electrodeposition. One first function, chronoamperometry lets to keep a constant voltage in the range of 0 V to 20 V and measures the current delivered to the system. A second function, chronopotentiometry maintains constant a current in a range of 0 A to 2 A and measures the voltage (potential). A third function, cyclic voltammetry, works in the same ranges of chronoamperometry (0 V to 20 V) and excites the system by signals as triangular wave, saw tooth, sine, and square, among others. These implemented features were compared to one conventional potentiostat, demonstrating its efficiency in controlling electrochemical processes.
Published: 2022

17. Prescription of statins and pharmacokinetic interactions in Colombian patients

Author: Claudia Giraldo-Giraldo, Diego Alejandro Medina-Morales, Luis Fernando Valladales-Restrepo, and Jorge Enrique Machado-Alba
Subjects: Adult, Male, medicine.medical_specialty, Statin, Adolescent, Databases, Factual, medicine.drug_class, Atorvastatin, HIV Infections, Colombia, Endocrine System Diseases, Toxicology, 030226 pharmacology & pharmacy, Young Adult, 03 medical and health sciences, Sex Factors, 0302 clinical medicine, Pharmacokinetics, Risk Factors, Internal medicine, Pharmacovigilance, medicine, Humans, Endocrine system, Drug Interactions, Lovastatin, Medical prescription, Aged, Aged, 80 and over, Pharmacology, business.industry, Age Factors, Mean age, General Medicine, Middle Aged, Cross-Sectional Studies, 030220 oncology & carcinogenesis, Female, Hydroxymethylglutaryl-CoA Reductase Inhibitors, business, medicine.drug
Abstract: Background: Statins have extensive hepatic metabolism and can have multiple pharmacological interactions. The aim was to identify the main pharmacokinetic interactions between statins and their comedications in a group of patients from Colombia.Research design and methods: A cross-sectional study of pharmacokinetic interactions in patients treated with statins who were identified from a population database. The interactions were documented using the Lexicomp® database.Results: A total of 123,026 patients with statin prescriptions were identified, with a mean age of 68.4 ± 11.5 years; 57.1% were women, and 81.6% received atorvastatin. A total of 19.4% (n = 23.831) of patients presented pharmacological interactions. Some 15,474 (12.6%) had interactions classified as category C, 7.4% (n = 9077) as category D, and 0.5% (n = 660) as category X. 36.8% of the patients with lovastatin prescriptions had some interaction. Age older than 65 years, male sex, residence in capital cities, comorbidities, endocrine pathologies and HIV were associated with an increase in the probability of having contraindicated or risky interactions.Conclusions: Important interactions between statins and other medications were more common in adults over 65 years of age and those with endocrine comorbidities or HIV infection. This knowledge should help when proposing solutions that reduce the risk of adverse reactions.
Published: 2021

18. Choosing Wisely: An idea worth sustaining

Author: Kimberly Wintemute, Jennifer Zadravec, Leigh Hayden, Monika Kastner, David Eisen, Manuel Giraldo, Julie Makarski, Deepak Sharma, Kathryn Mossman, Marwan Asalya, Donna McRitchie, Phil Shin, Kegan Harris, Edith Rolko, and Linda Jussaume
Subjects: Ontario, Hospitals and Health System Value and Quality, Medical education, Data collection, Descriptive statistics, business.industry, 030503 health policy & services, Health Policy, education, Qualitative property, Focus group, Hospitals, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Workflow, 11. Sustainability, Health care, Humans, Survey data collection, 030212 general & internal medicine, 0305 other medical science, business, Baseline (configuration management), Psychology
Abstract: OBJECTIVES: To evaluate the sustainability potential of Choosing Wisely (CW) to address unnecessary medical care at Ontario community hospitals. DATA SOURCES/STUDY SETTING: Ontario community hospitals and their affiliated family health teams (FHTs). STUDY DESIGN: A mixed‐methods study involving the administration of a validated sustainability survey to CW implementation teams followed by their participation in focus groups. DATA COLLECTION/EXTRACTION METHODS: Survey data were collected using an Excel file with an embedded, automated scoring system. We collated individual survey scores and generated aggregate team scores. We also performed descriptive statistics for quantitative data (frequencies, means). Qualitative data were triangulated with quantitative assessments to support data interpretations using the meta‐matrix method. PRINCIPAL FINDINGS: Fifteen CW implementation teams across four Ontario community hospitals and six affiliated primary care FHTs participated. CW priority areas investigated were de‐prescribing of proton pump inhibitors (PPIs) and reducing Pre‐Op testing and BUN/Urea lab testing. Survey results showed steady improvements in sustainability scores from baseline to final follow‐up among most implementation teams: 10% increase for PPI de‐prescribing (six FHTs) and 2% increase (three hospital teams); 18% increase in BUN/Urea lab testing (three hospital teams). Regardless of site or CW priority area, common facilitators were fit with existing processes and workflows, leadership support, and optimized team communication; common challenges were lack of awareness and buy‐in, leadership engagement or a champion, and lack of fit with existing workflow and culture. All teams identified at least one challenge for which they co‐designed and implemented a plan to maximize the sustainability potential of their CW initiative. CONCLUSIONS: Evaluating the sustainability potential of an innovation such as Choosing Wisely is critical to ensuring that they have the best potential for impact. Our work highlights that implementation teams can be empowered to influence implementation efforts and to realize positive outcomes for their health care services and patients.
Published: 2021

19. Prediction of neonatal survival according to lung‐to‐head ratio in fetuses with right congenital diaphragmatic hernia (CDH): A multicentre study from the Latin American CDH Study Group registry

Author: Walter Ventura, Alma Gámez-Varela, Jonahtan Luna-García, Saulo Molina-Giraldo, Hugo López-Briones, Néstor Pavón-Gómez, Adolfo Etchegaray, Rogelio Cruz-Martinez, M. Martinez-Rodriguez, Rosa Villalobos-Gómez, Enrique Gil-Guevara, and Eréndira Chávez-González
Subjects: medicine.medical_specialty, Population, Gestational Age, Ultrasonography, Prenatal, Pulmonary hypoplasia, Fetus, Pregnancy, medicine, Humans, Registries, education, Lung, Survival rate, Genetics (clinical), Retrospective Studies, education.field_of_study, Obstetrics, business.industry, Infant, Newborn, Infant, Obstetrics and Gynecology, Gestational age, Congenital diaphragmatic hernia, Retrospective cohort study, medicine.disease, Latin America, medicine.anatomical_structure, Female, Hernias, Diaphragmatic, Congenital, business
Abstract: OBJECTIVE To evaluate survival outcomes of fetuses with right sided congenital diaphragmatic hernia (CDH) treated in Latin American centres and to assess the utility of left lung area to predict neonatal survival. METHODS A retrospective cohort including isolated right sided CDH cases managed expectantly during pregnancy in six tertiary centers from five Latin American countries. The utility of the observed/expected lung-to-head ratio (O/E-LHR) in predicting neonatal survival was assessed, and the best cut-off to predict prognosis was automatically selected by decision tree analysis. RESULTS A total of 99 right sided CDH cases were recruited, 58 isolated fetuses were selected at a median gestational age of 26.2 weeks, showing an overall survival rate of 26.2%. A linear trend was observed between survival and the O/E-LHR, showing that at higher O/E-LHR, the greater probability of survival (r = 0.56, p
Published: 2021

20. Efficient Execution of Temporal Convolutional Networks for Embedded Keyword Spotting

Author: Vikram Jain, Marian Verhelst, and J. S. P. Giraldo
Subjects: Artificial neural network, Computer science, business.industry, Deep learning, Inference, Task (computing), Memory management, Computer engineering, Hardware and Architecture, Keyword spotting, Task analysis, Artificial intelligence, Electrical and Electronic Engineering, business, Mobile device, Software
Abstract: Recently, the use of keyword spotting (KWS) has become prevalent in mobile devices. State-of-the-art deep learning algorithms such as temporal convolutional networks (TCNs) have been applied to this task achieving superior accuracy results. These models can, however, be mapped in multiple ways onto embedded devices, ranging from real-time streaming inference with or without computational sprinting to delayed batched inference. Although functionally equivalent, these deployment settings, however, strongly impacts average power consumption and latency of this real time task, hence requiring a thorough optimization. This work analyzes the challenges, benefits, and drawbacks of the different execution modes available for TCN-based KWS inference on dedicated hardware. With this objective, this research contributes to: 1) presenting a complete deep learning accelerator optimized for TCN inference; 2) evaluating the impact on performance and power of the different deployment options for TCN inference applied to KWS obtaining up to 8 μW for real-time operation; and 3) optimizing real-time power consumption for KWS inference by exploiting the use of cascaded neural networks (NNs), achieving up to 35% additional power savings.
Published: 2021

21. Estudio de la gestión del riesgo cambiario en los procesos de importación de los comerciantes del sector de El Hueco de la ciudad de Medellín

Author: Eduardo Alexander Duque Grisales and Sergio Johan Giraldo-Giraldo
Subjects: media_common.quotation_subject, Welfare economics, Economic agents, Sample (statistics), Investment (macroeconomics), Stock market index, Interest rate, Information and Communications Technology, General Earth and Planetary Sciences, Cash flow, Business, Foreign exchange risk, General Environmental Science, media_common
Abstract: Actualmente, vivimos en un mundo cada vez más globalizado. Las tecnologías de la información y las comunicaciones (TIC´s) permiten que las empresas se muevan en un entorno más competitivo y por ello se requiere mejor planificación y alineación de sus metas y objetivos empresariales. Además, los hechos financieros internacionales cada vez afectan más los mercados locales, provocando fluctuaciones inesperadas en los tipos de cambio, variaciones en las tasas de interés o caídas en los índices bursátiles, lo cual tiene una incidencia relevante sobre el desempeño y el valor corporativo. Por esta razón, es indispensable que las empresas conozcan correctamente las herramientas disponibles en el mercado para cubrirse ante los cambios negativos del entorno y, al mismo tiempo, tomar decisiones acertadas de inversión y financiación. Este artículo se enfoca en el análisis de las estrategias de cobertura desarrolladas por los comerciantes del sector de “El Hueco” de Medellín en los procesos de importación. El análisis fue realizado con una muestra correspondiente a 12 comerciantes con mayores volúmenes de compra en el mercado exterior y con mayor trayectoria como importadores, por medio de dos secciones con entrevistas semiestructuradas y el desarrollo de una encuesta. En la primera sección, se logró detallar las principales variables y características como importadores; en la segunda sección se obtuvo información referente a la gestión de todos los riesgos inherentes a sus actividades comerciales. Los derivados financieros significan para estos agentes económicos los instrumentos óptimos para la gestión del riesgo cambiario, los cuales contribuyen a la estabilización de los flujos de efectivos en el rubro costos y se resalta la importancia de dichos instrumentos como generadores de valor corporativo.
Published: 2020

22. Impact of Neuraxial Versus General Anesthesia on Discharge Destination in Patients Undergoing Primary Total Hip and Total Knee Replacement

Author: Adolph J Yates, Michael P. Schnetz, Aman Mahajan, A. Murat Kaynar, Amanda M. Monahan, Melissa Giraldo Duque, and Steven L. Whitehurst
Subjects: Male, musculoskeletal diseases, Arthroplasty, Replacement, Hip, Anesthesia, General, Patient Readmission, Article, Perioperative Care, Cohort Studies, Postoperative Complications, Anesthesia, Conduction, Hip replacement, Health care, Humans, Medicine, Arthroplasty, Replacement, Arthroplasty, Replacement, Knee, Propensity Score, Anesthetics, Aged, Retrospective Studies, Aged, 80 and over, business.industry, Mortality rate, Orthopedic Surgical Procedure, Retrospective cohort study, Odds ratio, Middle Aged, Patient Discharge, Confidence interval, Treatment Outcome, Anesthesiology and Pain Medicine, Anesthesia, Propensity score matching, Female, business
Abstract: BACKGROUND Total knee replacement (TKR) and total hip replacement (THR) are 2 of the most common orthopedic surgical procedures in the United States. These procedures, with fairly low mortality rates, incur significant health care costs, with almost 40% of the costs associated with post acute care. We assessed the impact of general versus neuraxial anesthesia on discharge destination and 30-day readmissions in patients who underwent total knee and hip replacement in our health system. METHODS This was a retrospective cohort study of 24,684 patients undergoing total knee or hip replacement in 13 hospitals of a large health care network. Following propensity score matching, we studied the impact of type of anesthetic technique on discharge destination (primary outcome) and postoperative complications including readmissions in 8613 patients who underwent THR and 13,004 patients for TKR. RESULTS Our results showed that in patients undergoing THR and TKR, neuraxial anesthesia is associated with higher odds of being discharged from hospital to home versus other facilities compared to general anesthesia (odds ratio [OR] = 1.63, 95% confidence interval [CI], 1.52-1.76; P < .01) and (OR = 1.58, 95% CI, 1.49-1.67; P < .01), respectively. CONCLUSIONS Our results suggest an association between use of neuraxial anesthesia for total joint arthroplasty and a higher probability of discharge to home and a reduction in readmissions.
Published: 2021

23. When to use a prophylactic mesh after stoma closure: a case–control study

Author: C. E. Figueroa-Avendaño, C. Ramírez-Giraldo, A. Torres-Cuellar, J. Navarro-Alean, and C. Cala-Noriega
Subjects: medicine.medical_specialty, Incisional hernia, business.industry, Case-control study, medicine.disease, digestive system diseases, Surgery, surgical procedures, operative, medicine.anatomical_structure, Stoma (medicine), medicine, Abdomen, Hernia, Presentation (obstetrics), Risk factor, business, Abdominal surgery
Abstract: Purpose The closure of a stoma is frequently associated with an acceptable morbidity and mortality. One of the most frequent complications is incisional hernia at the stoma site, which occurs in 20%–40% of cases, higher than incisions in other parts of the abdomen. The objective of this study was to identify the risk factors associated with the presentation of incisional hernia after stoma closure, this in order to select patients who are candidates for prophylactic mesh placement during closure. Methods An unpaired case–control study was conducted. This study involved 164 patients who underwent a stoma closure between January 2014 and December 2019. Associated factors for the development of incisional hernia at the site of the stoma after closure were identified, for which it was performed a logistic regression analysis. Results 41 cases and 123 controls were analyzed, with a mean follow-up of 35.21 ± 18.42 months, the mean age for performing the stoma closure was 65.28 ± 14.07 years, the most frequent cause for performing the stoma was malignant disease (65.85%). Risk factor for the development of incisional hernia at the stoma site after its closure was identified as a history of parastomal hernia (OR 5.90, CI95% 1.97–17.68). Conclusions The use of prophylactic mesh at stoma closure should be considered in patients with a history of parastomal hernia since these patients present a significantly higher risk of developing a hernia.
Published: 2021

24. Comparison of 100-Kilovoltage Tin Filtration With Advanced Modeled Iterative Reconstruction Protocol to an Automated Kilovoltage Selection With Filtered Back Projection Protocol on Radiation Dose and Image Quality in Pediatric Noncontrast-Enhanced Chest Computed Tomography

Author: Juan Carlos Ramirez-Giraldo, Marilyn J. Siegel, Sanjeev Bhalla, and Demetrios A. Raptis
Subjects: Adolescent, Image quality, chemistry.chemical_element, Iterative reconstruction, Radiation Dosage, law.invention, law, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Child, Lung, Selection (genetic algorithm), Filtration, Retrospective Studies, Protocol (science), Radon transform, business.industry, Radiation dose, chemistry, Tin, Child, Preschool, Radiographic Image Interpretation, Computer-Assisted, Radiography, Thoracic, Tomography, X-Ray Computed, business, Algorithms, Lung Transplantation, Biomedical engineering
Abstract: The aim of the study was to compare effects of a 100-kilovoltage (kVp) tin filtration (Sn100kVp) with Advanced Modeled Iterative Reconstruction (ADMIRE) protocol to an automated kVp selection and filtered back projection (FBP) protocol on radiation dose and image quality of in noncontrast-enhanced pediatric chest computed tomography (CT).This retrospective study included 55 children (12 ± 6 years) undergoing baseline imaging using automated kVp selection with FBP on a second-generation dual-source CT scanner and follow-up CT using Sn100kVp with ADMIRE on a third-generation dual-source CT scanner. The volume CT dose index, dose length product, size-specific dose estimate, and milliamperage were compared. Image quality was calculated using signal-to-noise ratio and subjectively evaluated by 2 radiologists.Mean volume CT dose index, dose length product, and size-specific dose estimate were lower for the Sn100kVp protocol with ADMIRE (0.83 ± 0.18 mGy, 21.9 ± 7.5 mGy × cm, 1.28 ± 0.24 mGy) compared with the automated kVp protocol with FBP (2.17 ± 1.10 mGy, 65.1 ± 41.1 mGy × cm, 3.25 ± 1.44 mGy, P0.001), whereas milliamperage was and subjective image quality were higher for Sn100kVp (P0.001).A Sn100kVp protocol with ADMIRE lowers dose while maintaining image quality in noncontrast-enhanced pediatric chest CT.
Published: 2021

25. Minimally Invasive Management of the Patient with Penetrating Precordial Trauma

Author: Luis Felipe Cabrera, C Caycedo, Mauricio Pedraza, Brandon Steven Aparicio, J Ordoñez, D Giraldo, D Gonzalez, G Gonzalez, and T Tinoco
Subjects: medicine.medical_specialty, business.industry, medicine, General Medicine, Radiology, Precordial examination, business
Abstract: Resumen Introducción y objetivos: El trauma cardiaco en países subdesarrollados es de predominio penetrante, con altas tasas de mortalidad extrahospitalaria, pero con mortalidad intrahospitalaria que dependerá en parte de si el paciente se encuentra taponado o no. Las técnicas mínimamente invasivas para practicar la ventana pericárdica y la nueva interpretación del resultado positivo, han hecho variar paradigmas previamente establecido, lo cual ha llevado a realizar un cambio en el abordaje inicial de los pacientes con trauma precordial penetrante estables hemodinámicamente. Por lo cual, queremos mostrar nuestra experiencia en el manejo mínimamente invasivo de pacientes estables hemodinámicamente llevados a ventana pericárdica por trauma precordial. Materiales: En un periodo entre el 2018 y el 2019, se evaluaron 5 pacientes con herida penetrante precordial al servicio de trauma Hospital Universitario del Valle Evaristo García lo cuales fueron manejados por cirugía mínimamente invasiva. Resultados: Pacientes con e-FAST(tomado de las siglas en inglés, Extended Focused Assessment with Sonography in Trauma) positivo subxifoideo; llevados a ventana pericárdica por toracoscopia y laparoscopia, todas positivas con identificación de lesiones en pericardio, aurícula derecha , ventrículo izquierdo y auricula izquierda no sangrante, manejadas con lavado con SSN 500 cc hasta obtener líquido claro, aspiración de coágulos. Drenaje de hemotórax y Toracostomía cerrada para abordaje torácico. 72 horas retiro de tubo de tórax y egresó sin complicaciones documentadas. Conclusiones: La cirugía mínimamente invasiva en trauma resulta ser efectiva y segura para el manejo del trauma penetrante precordial en el paciente estable hemodinámicamente. Evitando toracotomías y esternotomías innecesarias.
Published: 2021

26. Nefropatía endémica mesoamericana: una enfermedad renal crónica de origen no tan desconocido

Author: Rosario Serrano, Borja Quiroga, Marina Alonso Riaño, Mariel Fabiola Valdivia Mazeyra, Patricia Muñoz Ramos, and Yohana Gil Giraldo
Subjects: medicine.medical_specialty, 030232 urology & nephrology, Mesoamerican nephropathy, 030204 cardiovascular system & hematology, Gastroenterology, Heat stress, Nephropathy, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Biopsy, Medicine, Dysuria, Kidney, medicine.diagnostic_test, business.industry, Tubule-interstitial nephritis, medicine.disease, Diseases of the genitourinary system. Urology, Chronic kidney disease of unknown origin, medicine.anatomical_structure, Nephrology, Etiology, RC870-923, medicine.symptom, business, Nephritis, Kidney disease
Abstract: Resumen: Desde el año 2000, la región de Mesoamérica ha presentado una elevada incidencia de casos de enfermedad renal crónica de origen desconocido. Bajo el nombre de nefropatía endémica mesoamericana (NeM) han concurrido numerosas hipótesis incluyendo la deshidratación, el estrés por calor, la exposición a contaminantes ambientales e incluso determinadas infecciones, sin que actualmente exista unanimidad en la etiología de dicha patología. La NeM afecta principalmente a varones jóvenes dedicados a actividades agrícolas con antecedente de exposición a temperaturas especialmente elevadas. Clínicamente cursa con síntomas inespecíficos como febrícula y disuria y, analíticamente, con deterioro de la función renal y alteraciones hidroelectrolíticas. El diagnóstico exige de la realización de una biopsia renal que muestra invariablemente datos de nefritis tubulointersticial, principalmente crónica. A pesar de que la NeM condiciona una elevada morbimortalidad en las regiones endémicas, no existe un tratamiento específico, por lo que la prevención, basada en disminuir la exposición a elevadas temperaturas y asegurar el correcto estado de hidratación son de gran importancia. En la presente revisión, y basándonos en un caso clínico, actualizamos la evidencia disponible sobre un problema de salud pública con relevantes consecuencias renales. Abstract: From 2000, Mesoamerican region has reached an important rate of chronic kidney disease of unknown etiology. Under the name of Meroamerican Nephropathy (MeN) several hypotheses (including dehydration, heat stress, environmental or toxic exposure or even infections) have tried to explain the etiology this new disease. MeN affects young men, agricultural workers exposed to high temperatures. MeN courses with unspecific symptoms as low-grade fever and dysuria and progressive kidney disease with impaired renal function and hydroelectrolyte disturbances. The diagnosis requires kidney biopsy showing tubule-interstitial nephritis (usually at chronic stage). Although MeN conditions a high morbi-mortality in endemic regions, there is a lack of specific treatment and only preventive measures have demonstrated some effect of prognosis (avoid heat stress, constant hydration). In this review we aim to summarize the available information of MeN, illustrating the information in a case report.
Published: 2021

27. How Are Women Politicians Treated in the Press? The Case of Spain, France and the United Kingdom

Author: Santiago Giraldo-Luque and Cristina Fernández-Rovira
Subjects: media_common.quotation_subject, media representation, Antipathy, women politicians, sentiment analysis, Spain, France, United Kingdom, gender, Digital media, Newspaper, Representation (politics), Sentiment analysis, Kingdom, Politics, Political science, Valence (psychology), Women politicians, media_common, business.industry, Communication. Mass media, Gender, Gender studies, P87-96, Media representation, Journalism. The periodical press, etc, PN4699-5650, business
Abstract: Women politicians have been discriminated against or negatively valued under stereotypes in media coverage and have been given a secondary role compared to male politicians. The article proposes an analysis of the treatment given by digital media to women political leaders. They are from different parties in three countries and the aim is to identify the polarity (positive, neutral or negative) of the information published about them in the media. The text focuses on the cases of Anne Hidalgo and Marine Le Pen, from France, Nicola Sturgeon and Theresa May, from the United Kingdom and Ada Colau and Inés Arrimadas, from Spain. The study develops a computerised sentiment analysis of the information published in two leading digital newspapers in each country, during the month of November 2019. The research, with the analysis of 1100 journalistic pieces, shows that the polarity or valence of the women analysed is predominantly neutral and positive and that the journalistic genres do not determine the media representation of the women studied. On the contrary, the country of study does have a predominant incidence on the way in which women politicians are represented, while the relationship of affinity or antipathy of the Spanish media with the women politicians studied is significant.
Published: 2021

28. New Pulmonary Infiltrates Observed on Computed Tomography-Based Image Guidance for Radiotherapy Warrant Diagnostic Workup for Coronavirus Disease 2019

Author: Osama Mostafa Abd Elbadee, Charlotte Billiet, Alex A. Adjei, Graham W. Warren, Vun-Sin Lim, Alexandra Giraldo Marin, Monica Ramos, Morten Hiul Suppli, Mudit Chowdhary, Esra Korkmaz Kirakli, Gaurav Marwaha, and Gwendolyn J. McGinnis
Subjects: Pulmonary and Respiratory Medicine, medicine.medical_specialty, Lung Neoplasms, Coronavirus disease 2019 (COVID-19), medicine.medical_treatment, Computed tomography, COVID-19 Testing, ground glass opacities, Humans, Medicine, In patient, Image guidance, Lung, radiotherapy, medicine.diagnostic_test, SARS-CoV-2, business.industry, Brief Report, COVID-19, Cancer, computed tomography, medicine.disease, Radiation therapy, Oncology, Aggregate analysis, Pulmonary infiltrates, Human medicine, Radiology, Tomography, X-Ray Computed, business
Abstract: Introduction: Screening for coronavirus disease 2019 (COVID-19) exposure, coupled with engaged decision making to prioritize cancer treatment in parallel with reducing risk of exposure and infection, is crucial in the management of COVID-19 during cancer treatment. After two reported case studies of imaging findings during daily computed tomography (CT)-based image-guided radio-therapy (RT) scans, a call for submission of anonymized case reports was published with the objective of rapidly determining if there was a correlation between the onset of new pulmonary infiltrates found during RT and COVID-19. We hereby report the results of the aggregate analysis. Methods: Data of deidentified case reports for patients who developed biochemically confirmed COVID-19 during RT were submitted through an online portal. Information requested included a patient's sex, age, cancer diagnosis and treatment, and COVID-19 diagnosis and outcome. Coplanar CT-based imaging was requested to reveal the presence or absence of ground-glass opacities or infiltrates. Results: A total of seven reports were submitted from Turkey, Spain, Belgium, Egypt, and the United States. Results and imaging from the patients reported by Suppli et al. and McGinnis et al. were included for a total of nine patients for analysis. All patients were confirmed COVID-19 positive using polymerase chain reaction-based methods or nasopharyngeal swabs. Of the nine patients analyzed, abnormalities consistent with ground-glass opacities or in- filtrates were observed in eight patients. Conclusions: This is the largest case series revealing the potential use of CT-based image guidance during RT as a tool for identifying patients who need further workup for COVID-19. Considerations for reviewing image guidance for new pulmonary infiltrates and immediate COVID-19 testing in patients who develop new infiltrates even without COVID-19 symptoms are strongly encouraged. (c) 2021 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.
Published: 2021

29. Documento Identidad Nacional Electrónico: Seguridad asociada y mecanismo de ampliación tributaria

Author: Abel Marcial Oruna Rodríguez, Evelin Brigitte Valencia Giraldo, Miguel Ángel Oruna Rodríguez, and Jaime Agustín Sánchez Ortega
Subjects: HF1-6182, HF5001-6182, Geography, Planning and Development, Commerce, Business, General Business, Management and Accounting
Abstract: La investigación tiene como propósito comprender e interpretar el significado e importancia sobre el Documento Nacional de Identidad electrónico-DNIe, por ser un medio de identificación confiable que nos facilita realizar gestiones en línea y así ampliar la base tributaria en el Perú. La metodología fue de enfoque cualitativo, de tipo exploratorio, mediante el paradigma naturalista e interpretativo, con el método hermenéutico, y se aplicó la técnica de entrevistas en profundidad a expertos de diversas disciplinas. Los resultados indican que el DNIe surge como una alternativa que permite a los contribuyentes realizar diversas operaciones financieras, respetando sus derechos tributarios constitucionales. A su vez, con su uso, se asumen retos de una sociedad cada vez más exigente en donde la Administración Tributaria incorpore los medios de pago correspondientes según la normatividad vigente. Sin embargo, es necesario que el estado peruano establezca políticas alternativas de gestión que permitan una verdadera cultura tributaria.
Published: 2021

30. Validation in Spanish of the Ottawa scale for non-technical skills in health personnel in crisis situations

Author: D. González Giraldo, L.D. López Agudelo, M.A. Zamudio Burbano, and F.D. Casas Arroyave
Subjects: business.industry, fungi, Applied psychology, Construct validity, General Medicine, Patient safety, Cronbach's alpha, Scale (social sciences), Medicine, Dimension (data warehouse), Adaptation (computer science), business, Construct (philosophy), Reliability (statistics)
Abstract: INTRODUCTION Non-technical skills are related to morbi-mortality in medicine; it has been proposed that 46% of fatal outcomes are explained to limitations in non-technical skills and only 5% to technical skills deficiencies, however, there is no validated instrument or scale in spanish that allows its evaluation in the management of medical crisis. OBJECTIVE To evaluate the psychometric properties of a Spanish-adapted version of the "Ottawa crisis resource management (CRM) global rating scale (GRS)" in medical staff involved in critical decision-making based in high-fidelity simulation, which could be beneficial to impact patient safety and improve clinical outcomes. METHODS Transversal cultural instrument validation and adaptation study, included 91 participants who simulated a medical crisis between 2018 and 2019, and to whom the Spanish version of the CRM-GRS was applied in order to evaluate its psychometric properties. RESULTS A cultural adaptation with translation into Spanish of the CRM-GRS was made. Subsequently, the scale was applied to 91 participants. An internal consistency (Cronbach's alpha) greater than 0.9 was found in each dimension. The level of inter-rater reliability, evaluated by the interclass coefficient was 0.59 to 0.69, and test-retest reliability with an interclass coefficient greater than 0.7. The validity of the convergent construct was moderate (interclass coefficient between 0.6 and 0.7 for all domains) and the validity of the divergent construct between 0.4 and 0.5 was found adequate. CONCLUSION The translated and adapted Spanish version of the CRM-GRS in crisis had adequate internal consistency, reliability, and construct validity.
Published: 2021

31. Validación en castellano de la escala de Ottawa para habilidades no técnicas en personal de salud en situación de crisis

Author: D. González Giraldo, L.D. López Agudelo, M.A. Zamudio Burbano, and F.D. Casas Arroyave
Subjects: Anesthesiology and Pain Medicine, business.industry, Medicine, Critical Care and Intensive Care Medicine, business, Humanities
Abstract: Resumen Introduccion Las habilidades no tecnicas estan ligadas a morbimortalidad en medicina; el 46% de los desenlaces fatales se deben a limitaciones en ellas y el 5% a las habilidades tecnicas. Actualmente, no existe en castellano un instrumento que permita su medicion en escenarios de crisis medicas, lo cual podria ser beneficioso para impactar en la seguridad del paciente y mejorar desenlaces. Objetivo Realizar la traduccion y adaptacion cultural de la escala «Ottawa crisis resource management global rating scale» (CRM-GRS), evaluar sus propiedades psicometricas en el personal de la salud involucrado en el manejo de recursos en crisis en situaciones de simulacion. Metodos Estudio transversal de traduccion y validacion cultural del instrumento con 91 individuos que participaron en una simulacion clinica sobre una crisis medica entre el ano 2018 y 2019, a quienes se les aplico la traduccion y adaptacion al castellano de la escala CRM-GRS con el fin de evaluar sus propiedades psicometricas. Resultados Se realizo la adaptacion cultural con traduccion al castellano de la escala (CRM-GRS). Posteriormente se aplico la escala a 91 participantes. Se encontro una consistencia interna (alfa de Cronbach) superior a 0,9. El nivel de confiabilidad interevaluador con un coeficiente intraclase entre 0,59-0,69, y la confiabilidad prueba reprueba con coeficiente intraclase mayor de 0,7. Se encontro validez de constructo convergente y divergente moderada (coeficiente intraclase 0,6-0,7 y 0,4-0,5 respectivamente). Conclusion La traduccion y adaptacion al castellano de la escala CRM-GRS, tuvo una adecuada consistencia interna, confiabilidad y validez de constructo.
Published: 2021

32. Prevalence of intestinal parasites in a cohort of HIVinfected patients from Antioquia, Colombia

Author: Gisela María García-Montoya, Laura M. Arias-Agudelo, Ana Luz Galván-Díaz, Jorge Botero-Garces, Johanna Uran-Velasquez, Sofía Giraldo, Esteban Villegas-Arbeláez, and Juan Carlos Alzate-Ángell
Subjects: medicine.medical_specialty, RC955-962, prevalence, Population, diarrhea, Cryptosporidiosis, Cryptosporidium, Intestinal parasite, HIV Infections, Colombia, medicine.disease_cause, General Biochemistry, Genetics and Molecular Biology, Feces, Arctic medicine. Tropical medicine, diarrea, Internal medicine, medicine, Animals, Humans, Parasites, Intestinal Diseases, Parasitic, AIDS-related opportunistic infections, education, education.field_of_study, Blastocystis, biology, business.industry, infecciones oportunistas relacionadas con el sida, prevalencia, HIV, VIH, biology.organism_classification, Diarrhea, Cross-Sectional Studies, Cohort, Medicine, parasitosis intestinales, Original Article, Cystoisospora belli, medicine.symptom, business, Viral load
Abstract: HIV infection is still a public health problem worldwide and co-infections with other infectious agents including intestinal parasites are of particular concern, mainly in developing countries like Colombia.To conduct a cross-sectional study in patients attending an HIV care program in Antioquia given that there have been few intestinal parasites prevalence studies among the HIV population in the country.We evaluated stool samples from 192 patients by direct wet mount and concentration, modified Ziehl Neelsen staining, and agar plate culture. Univariate and correlation analyses were done to explore the association between socio-demographic and clinical characteristics and parasitological data.The overall prevalence of intestinal parasites in HIV-positive subjects was 29.2% (56/192; 95% CI: 22.8% - 35.6%). Entamoeba histolytica/dispar/moshkosvkii with 13.0% (25/192; 95% CI: 8.2% - 17.8%) and Blastocystis with 12.0% (23/192; 95% CI: 7.4% - 16.6%) were the most frequent. Opportunistic parasites like Cryptosporidium spp. and Cystoisospora belli were less prevalent, each one with 0.5% of positive samples (1/192; 95% CI: 0.1% - 1.5%). Commensal protozoa were also detected with a prevalence of 18.8% (36/192; 95% CI: 13.3% - 24.3%). Most of the individuals in the study had a controlled viral load and an LTCD4 count greater than 200 cel/μL. A small percentage (9.3%) had diarrhea. Bivariate analysis and multivariate logistic regression showed that only age and having pets had a significant association with intestinal parasites in this cohort.Our results confirmed that the evaluated population is at high risk of intestinal parasite infection, which highlights the need for routine screening of gastrointestinal parasites to provide prompt treatment and reduce possible complications.Introducción. La infección por HIV y las coinfecciones con otros agentes infecciosos, incluidos los parásitos intestinales, son motivo de especial preocupación en países en desarrollo como Colombia. Objetivo. Hacer un estudio transversal en pacientes que asisten a un programa de atención de HIV en el departamento de Antioquia, dado que los estudios de prevalencia de parásitos intestinales en la población con HIV son escasos en el país. Materiales y métodos. Se evaluaron 192 muestras de materia fecal mediante examen coprológico directo y por concentración, tinción de Ziehl-Neelsen modificada, y aislamiento en agar. Se hicieron análisis univariados y de correlación, para explorar la asociación entre las características sociodemográficas y clínicas, y los datos parasitológicos. Resultados. La prevalencia global de parásitos intestinales en pacientes positivos para VIH fue del 29.2 % (56/192; IC95% 22.8-35.6 %), siendo Entamoeba histolytica/dispar/moshkosvkii, con 13.0 % (25/192; IC95% 8.2-17.8 %), y Blastocystis, con 12.0 % (23/192; IC95% 7.4-16.6 %), los mas frecuentes. Los parásitos oportunistas Cryptosporidium spp. y Cystoisospora belli fueron menos prevalentes, cada uno con 0.5 % (1/192; IC95% 0.1-1.5 %) de muestras positivas. También, se detectaron protozoos comensales, con una prevalencia del 18,8 % (36/192; IC95% 13,3-24,3 %). La mayoría de los individuos tenía una carga viral controlada y un recuento de linfocitos T CD4 superior a 200 células/μl. Un pequeño porcentaje (9,3 %) presentó diarrea. La edad y el tener mascotas mostraron una asociación significativa con la presencia de parásitos intestinales. Conclusión. Se confirmó que la población evaluada tiene un alto riesgo de infección por parásitos intestinales, lo que resalta la necesidad de un protocolo de diagnóstico para el cribado de dichos agentes, con el fin de brindar un tratamiento rápido y reducir las posibles complicaciones.
Published: 2021

33. Fragilidad, desempeño físico y riesgo de caídas en adultos mayores pertenecientes a una comuna de Cali, Colombia

Author: María Claudia Astaiza, Valentina Bernal-Quintero, Jhonatan Betancourt-Peña, Daniela Campo-Giraldo, and María José Benítez-Ceballos
Subjects: Gerontology, education.field_of_study, riesgo, business.industry, Population, Short Physical Performance Battery, Envejecimiento, fragilidad, RT1-120, Nursing, Fragility, Informed consent, Physical performance, Life course approach, Medicine, Descriptive research, education, business
Abstract: RESUMEN Introducción: La progresión del envejecimiento poblacional va acompañada del aumento de la morbilidad, la cronicidad y con ello la fragilidad, que afecta finalmente a la población adulta mayor en la etapa final de la vida. Objetivo: Determinar el nivel de fragilidad, funcionalidad y riesgo de caídas en adultos mayores de una comuna de Cali, Colombia. Material y métodos: Estudio descriptivo en un grupo de adultos mayores de la ciudad de Cali, Colombia. El estudio contó con aval ético y todos los participantes firmaron el consentimiento informado. Se aplicó la batería corta de desempeño físico (SPPB) y se compararon los grupos por nivel de fragilidad en vigoroso, prefrágil y frágil. Resultados: Se vincularon 197 adultos mayores al estudio, en su mayoría mujeres, con una edad promedio de 73,88 ± 7,96 años. En la prueba de alcance funcional y fuerza de prensión manual por medio de dinamometría se obtuvo que el 14,2% de los participantes presentaban riesgo de caídas; en cuanto a la SPPB, el 12,7% presentaron limitación funcional y el 76,6% se encontraban en prefragilidad y fragilidad. Conclusión: La mayor cantidad de adultos mayores de la comuna 19 de Cali eran mujeres en prefragilidad, lo que claramente supone que en el corto/mediano plazo, por la edad y por el peor desempeño físico, empeorarían a fragilidad.
Published: 2021

34. Red neuronal convolucional para la percepción espacial del robot InMoov a través de visión estereoscópica como tecnología de asistencia

Author: Juan Felipe Cortes Zarta, Carlos Felipe Vergara Ramirez, and Yesica Alejandra Giraldo Tique
Subjects: Stereopsis, business.industry, Computer science, Position (vector), X-Coordinate, Robot, Computer vision, Artificial intelligence, business, Object (computer science), Robotic arm, Convolutional neural network, Humanoid robot
Abstract: En el desarrollo de los robots de asistencia un reto importante consiste en mejorar la percepción espacial de los robots para la identificación de objetos en diversos escenarios. Para ello, es preciso desarrollar herramientas de análisis y procesamiento de datos de visión estereoscópica artificial. Por esta razón, el presente artículo describe un algoritmo de redes neuronales convolucionales (CNN) implementado en una Raspberry Pi 3 ubicada en la cabeza de una réplica del robot humanoide de código abierto InMoov para estimar la posición en X, Y, Z de un objeto dentro de un entorno controlado. Este artículo explica la construcción de la parte superior del robot InMoov, la aplicación de Transfer Learning para detectar y segmentar un objeto dentro de un entorno controlado, el desarrollo de la arquitectura CNN y, por último, la asignación y evaluación de parámetros de entrenamiento. Como resultado, se obtuvo un error promedio estimado de 27 mm en la coordenada X, 21 mm en la coordenada Y y 4 mm en la coordenada Z. Estos datos son de gran impacto y necesarios al momento de usar esas coordenadas en un brazo robótico para que alcance el objeto y lo agarre, tema que queda pendiente para un futuro trabajo.
Published: 2021

35. Identificación de necesidades emocionales, sociales y de acceso a los servicios de salud de los pacientes diagnosticados con Leucemia Mieloide Crónica en Colombia

Author: María Fernanda Rocha, Mónica Giraldo-Castaño, and Yolima Méndez-Camacho
Subjects: Pediatrics, medicine.medical_specialty, business.industry, Authorization, Myeloid leukemia, Disease, medicine.disease, Focus group, Leukemia, Structured interview, Health care, medicine, Psychological support, business
Abstract: La leucemia mieloide crónica (LMC) representa entre el 15-20 % de todas las leucemias; al ser una enfermedad crónica, los pacientes no solo se ven afectados por los efectos del tratamiento, sino que también se afecta su estilo de vida. Objetivo: Identificar las necesidades emocionales, sociales y de atención en salud de los pacientes diagnosticados con leucemia mieloide crónica en Colombia, desde la perspectiva de los pacientes. Métodos: Se llevó a cabo un estudio descriptivo transversal, con pacientes diagnosticados con leucemia mieloide crónica. Se utilizaron como técnicas, la entrevista estructurada y el grupo focal. Resultados: El 19 % de pacientes manifestó ser asintomático, 30 % tuvo un diagnóstico incidental y 25 % recibió diagnósticos erróneos. El 69 % de los pacientes accedió al diagnóstico dos meses después de presentar síntomas. Al iniciar el tratamiento, 102 pacientes refirieron haber suspendido el medicamento por razones no médicas, entre las que predomina la demora en entrega de medicamento. Sobre las necesidades emocionales, 59 % de los pacientes manifestó sentir emociones positivas y el 63 % reconoce que la enfermedad ha impactado su vida, 33 % positivamente y 25 % negativamente. Conclusiones: Los pacientes con LMC en Colombia, refieren demoras frecuentes en las autorizaciones, así como en la dispensación de medicamentos, que se presentan en mayor medida en el régimen subsidiado, lo cual afecta la oportunidad en su tratamiento y por tanto el adecuado control de su enfermedad. A nivel emocional y social, se hace necesario garantizar apoyo psicológico para el paciente y para su familia, al momento de recibir el diagnóstico.
Published: 2021

36. Gasto catastrófico y utilización de servicios de salud, México 2018

Author: Hada Melissa Sáenz Vela and Angela Melissa Guzmán Giraldo
Subjects: méxico, Economics as a science, servicios de salud, General Medicine, Business, gasto catastrófico, HB71-74, ingreso
Abstract: El objetivo es estimar la probabilidad de incurrir en gastos catastróficos al utilizar los servicios públicos de salud en México, a partir de la Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) 2018. Se estimaron modelos Biprobit para identificar la relación entre estas variables. La utilización del servicio público al que se tiene afiliación y el gasto público ayudan a disminuir moderadamente las probabilidades de incurrir en gastos catastróficos. Los gastos catastróficos afectan a individuos de cualquier estrato socioeconómico, al no encontrar efectos considerablemente distintos por quintil de ingreso. Las desigualdades en el gasto público, aunadas a la propia fragmentación de los servicios parecen repercutir en la oferta de servicios. Lo anterior provoca una mayor propensión a incurrir en gastos excesivos, puesto que es un fenómeno que afecta a lo largo de la distribución de ingresos.
Published: 2021

37. Characterizing translators and interpreters in Colombia

Author: Camilo Sarmiento-Jaramillo, Sandra Bibiana Clavijo-Olmos, Bibiana Salazar-Giraldo, Constanza Malavert-Chávez, and John Jairo Giraldo-Ortiz
Subjects: traducción en Colombia, 050101 languages & linguistics, Linguistics and Language, Service (systems architecture), traduction en Colombie, characterization of translators, Foreign language, traducteurs, Exploratory research, translator's profile, Professionalization, Language and Linguistics, profil du traducteur, Education, caracterización del traductor, Traductor, id.loc.gov/authorities/subjects/sh85136958 [http], interprétation, translation in Colombia, Traducción - Colombia, vocabularies.unesco.org/thesaurus/concept5793 [http], Translations, 0501 psychology and cognitive sciences, Sociology, interpretation, Government, Translating and interpreting, traductores, business.industry, 05 social sciences, 050301 education, Perfil del traductor, Technical translation, Public relations, translators, caractérisation des traducteurs, Traducción - Metodología, interpretación, Professional association, Descriptive research, business, 0503 education
Abstract: RESUMEN: El objetivo principal de este estudio, de carácter exploratorio, metodología cuantitativa y enfoque descriptivo, fue realizar una caracterización de los traductores e intérpretes en Colombia. Se trata de un estudio que, junto con otros, servirá de base para que profesionales, agremiaciones y entidades gubernamentales tengan elementos para la definición de estrategias que les permitan a estos profesionales ser más competitivos en los contextos local y global. Para lo anterior, se contó con una muestra de 98 participantes de diferentes nacionalidades en el ejercicio de la profesión en Colombia, quienes respondieron una encuesta vía web. Entre los hallazgos se encuentran que la mayoría de quienes ejercen la profesión son mujeres, con edades entre 30 y 40 años, en modalidad de trabajo freelance, con residencia principalmente en Bogotá y Medellín, con formación superior en otras áreas de conocimiento, se dedican principalmente a la traducción científico-técnica, en su mayoría desconocen y por ende no aplican normas para el aseguramiento de la calidad de los servicios, y suelen desempeñar actividades complementarias como la docencia de traducción o lenguas extranjeras, la edición o la corrección de estilo. Estos hallazgos sugieren la necesidad de trabajar en la eliminación de por lo menos tres grandes riesgos que afectan localmente a la profesión, a saber: a) la escasa oferta de programas de profesionalización y formación continua; b) la baja cobertura del servicio, y c) la poca cultura de agremiación. ABSTRACT: This exploratory study applied a quantitative methodolog y and a descriptive ap-proach with the purpose to characterize Colombian translators and interpreters. This study, along with others, intends to provide professionals, associations and government entities the elements needed for creating strategies that allow them to be more competitive in local and global contexts. The sample consisted of 98 participants of different nationalities working in Colombia, who answered a sur-vey via the web. The main findings show that most of practising translators are women, between 30 and 40 years of age, freelance, residing mainly in big cities as Bogotá and Medellín, lack a culture of group action, such as in professional as-sociations, have higher training in other areas of knowledge, are mainly engaged in scientific and technical translation, have low knowledge and use of standards for the assurance of service quality, and often work in complementary activities, such as translation or foreign languages teaching, editing and copyediting. These findings highlight the need to work on eliminating at least three major risks that affect the profession locally, as follows: (a) the limited offer of professionalization and continuing training programs; (b) the low coverage of the service, and (c) a lack of group action in professional associations. RÉSUMÉ: L'objectif principal de cette étude exploratoire, avec une méthodologie quantitative et une approche descriptive, a consisté à caractériser des traducteurs et interprètes colombiens. Il s'agit d'une étude qui, avec d'autres, servira de base aux professionnels, aux associations et aux entités gouvernementales pour disposer d'éléments nécessaires afin d ́élaborer des stratégies permettant à ces professionnels d ́être plus compétitifs tant au niveau local que mondial. Cette étude a été réalisée à partir rès d'un échantillon de 98 participants de différentes nationalités qui travaillent comme traducteurs et interprètes en Colombie. Ceux-ci ont répondu à un questionnaire sur la web. Parmi les résultats, on constate que la majorité de ceux qui exercent la profession sont des femmes, âgées entre 30 et 40 ans, indépendantes, résidant principalement à Bogotá et à Medellín, avec un faible niveau de corporation, ayant suivi des études supérieures dans d'autres domaines de connaissance, se consacrant principalement à la traduction scientifique-technique, ayant une faible connaissance et utilisation des normes d'assurance de la qualité des services et qui travaillent généralement dans des activités complémentaires telles que l'enseignement de la traduction ou des langues étrangères, l'édition et la correction de style. Ces constats impliquent la nécessité de travailler sur l'élimination d'au moins trois risques majeurs qui affectent la profession localement, à savoir : a) l'offre limitée de programmes de professionnalisation et de formation continue ; b) la faible couverture du service, et c) le peu de culture du corporatisme.
Published: 2020

38. ACE inhibitors in SSc patients display a risk factor for scleroderma renal crisis—a EUSTAR analysis

Author: Bütikofer L, Varisco PA, Distler O, Kowal-Bielecka O, Allanore Y, Riemekasten G, Villiger PM, Adler S, Avouac J, Walker UA, Guiducci S, Airò P, Hachulla E, Valentini G, Carreira PE, Cozzi F, Gurman AB, Braun-Moscovici Y, Damjanov N, Ananieva LP, Scorza R, Jimenez S, Busquets J, Li M, Müller-Ladner U, Maurer B, Tyndall A, Lapadula G, Iannone F, Becvar R, Sierakowsky S, Bielecka OK, Cutolo M, Sulli A, Cuomo G, Vettori S, Rednic S, Nicoara I, Vlachoyiannopoulos P, Montecucco C, Caporali R, Novak S, Czirják L, Varju C, Chizzolini C, Kucharz EJ, Kotulska A, Kopec-Medrek M, Widuchowska M, Rozman B, Mallia C, Coleiro B, Gabrielli A, Farge D, Hij A, Hesselstrand R, Scheja A, Wollheim F, Martinovic D, Govoni M, Monaco AL, Hunzelmann N, Pellerito R, Bambara LM, Caramaschi P, Black C, Denton C, Henes J, Santamaria VO, Heitmann S, Krasowska D, Seidel M, Oleszowsky M, Burkhardt H, Himsel A, Salvador MJ, Stamenkovic B, Stankovic A, Tikly M, Starovoytova MN, Engelhart M, Strauss G, Nielsen H, Damgaard K, Szücs G, Mendoza AZ, de la Puente Buijdos C, Sifuentes Giraldo WA, Midtvedt Ø, Garen T, Launay D, Valesini G, Riccieri V, Ionescu RM, Opris D, Groseanu L, Wigley FM, Mihai CM, Cornateanu RS, Ionitescu R, Gherghe AM, Gorga M, Dobrota R, Bojinca M, Schett G, Distler JHW, Meroni P, Zeni S, Mouthon L, De Keyser F, Smith V, Cantatore FP, Corrado A, Ullman S, Iversen L, Pozzi MR, Eyerich K, Hein R, Knott E, Szechinski J, Wiland P, Szmyrka-Kaczmarek M, Sokolik R, Morgiel E, Krummel-Lorenz B, Saar P, Aringer M, Günther C, Anic B, Baresic M, Mayer M, Radominski SC, de Souza Müller C, Azevedo VF, Agachi S, Groppa L, Chiaburu L, Russu E, Zenone T, Stebbings S, Highton J, Stamp L, Chapman P, Baron M, O'Donnell J, Solanki K, Doube A, Veale D, O'Rourke M, Loyo E, Rosato E, Pisarri S, Tanaseanu CM, Popescu M, Dumitrascu A, Tiglea I, Chirieac R, Ancuta C, Furst DE, Kafaja S, de la Peña Lefebvre PG, Rubio SR, Exposito MV, Sibilia J, Chatelus E, Gottenberg JE, Chifflot H, Litinsky I, Venalis A, Butrimiene I, Venalis P, Rugiene R, Karpec D, Kerzberg E, Montoya F, Cosentino V, Castellvi I., Publica, Bütikofer, L, Varisco, Pa, Distler, O, Kowal-Bielecka, O, Allanore, Y, Riemekasten, G, Villiger, Pm, Adler, S, Avouac, J, Walker, Ua, Guiducci, S, Airò, P, Hachulla, E, Valentini, G, Carreira, Pe, Cozzi, F, Gurman, Ab, Braun-Moscovici, Y, Damjanov, N, Ananieva, Lp, Scorza, R, Jimenez, S, Busquets, J, Li, M, Müller-Ladner, U, Maurer, B, Tyndall, A, Lapadula, G, Iannone, F, Becvar, R, Sierakowsky, S, Bielecka, Ok, Cutolo, M, Sulli, A, Cuomo, G, Vettori, S, Rednic, S, Nicoara, I, Vlachoyiannopoulos, P, Montecucco, C, Caporali, R, Novak, S, Czirják, L, Varju, C, Chizzolini, C, Kucharz, Ej, Kotulska, A, Kopec-Medrek, M, Widuchowska, M, Rozman, B, Mallia, C, Coleiro, B, Gabrielli, A, Farge, D, Hij, A, Hesselstrand, R, Scheja, A, Wollheim, F, Martinovic, D, Govoni, M, Monaco, Al, Hunzelmann, N, Pellerito, R, Bambara, Lm, Caramaschi, P, Black, C, Denton, C, Henes, J, Santamaria, Vo, Heitmann, S, Krasowska, D, Seidel, M, Oleszowsky, M, Burkhardt, H, Himsel, A, Salvador, Mj, Stamenkovic, B, Stankovic, A, Tikly, M, Starovoytova, Mn, Engelhart, M, Strauss, G, Nielsen, H, Damgaard, K, Szücs, G, Mendoza, Az, de la Puente Buijdos, C, Sifuentes Giraldo, Wa, Midtvedt, Ø, Garen, T, Launay, D, Valesini, G, Riccieri, V, Ionescu, Rm, Opris, D, Groseanu, L, Wigley, Fm, Mihai, Cm, Cornateanu, R, Ionitescu, R, Gherghe, Am, Gorga, M, Dobrota, R, Bojinca, M, Schett, G, Distler, Jhw, Meroni, P, Zeni, S, Mouthon, L, De Keyser, F, Smith, V, Cantatore, Fp, Corrado, A, Ullman, S, Iversen, L, Pozzi, Mr, Eyerich, K, Hein, R, Knott, E, Szechinski, J, Wiland, P, Szmyrka-Kaczmarek, M, Sokolik, R, Morgiel, E, Krummel-Lorenz, B, Saar, P, Aringer, M, Günther, C, Anic, B, Baresic, M, Mayer, M, Radominski, Sc, de Souza Müller, C, Azevedo, Vf, Agachi, S, Groppa, L, Chiaburu, L, Russu, E, Zenone, T, Stebbings, S, Highton, J, Stamp, L, Chapman, P, Baron, M, O'Donnell, J, Solanki, K, Doube, A, Veale, D, O'Rourke, M, Loyo, E, Rosato, E, Pisarri, S, Tanaseanu, Cm, Popescu, M, Dumitrascu, A, Tiglea, I, Chirieac, R, Ancuta, C, Furst, De, Kafaja, S, de la Peña Lefebvre, Pg, Rubio, Sr, Exposito, Mv, Sibilia, J, Chatelus, E, Gottenberg, Je, Chifflot, H, Litinsky, I, Venalis, A, Butrimiene, I, Venalis, P, Rugiene, R, Karpec, D, Kerzberg, E, Montoya, F, Cosentino, V, and Castellvi, I.
Subjects: INVOLVEMENT, Male, Hypertension, Renal, ACE inhibitors, lcsh:Diseases of the musculoskeletal system, Scleroderma Renal Crisis, MULTICENTER, Angiotensin-Converting Enzyme Inhibitors, Scleroderma, Scleroderma renal crisis, 0302 clinical medicine, Risk Factors, Medicine and Health Sciences, Medicine, 030212 general & internal medicine, Prospective Studies, 610 Medicine & health, Renal, Antihypertensive drugs, Outcome, antihypertensive drugs, arterial hypertension, outcome, scleroderma renal crisis, Incidence (epidemiology), Incidence, Hazard ratio, Acute Kidney Injury, Middle Aged, Europe, Treatment Outcome, Population Surveillance, Cohort, Hypertension, Female, 360 Social problems & social services, Proto-oncogene tyrosine-protein kinase Src, Research Article, Arterial hypertension, medicine.medical_specialty, 03 medical and health sciences, ENDOTHELIN-1, Internal medicine, Humans, Risk factor, Aged, 030203 arthritis & rheumatology, Scleroderma, Systemic, business.industry, SYSTEMIC-SCLEROSIS, Systemic, medicine.disease, Concomitant, lcsh:RC925-935, business
Abstract: Objectives To investigate the effect of ACE inhibitors (ACEi) on the incidence of scleroderma renal crisis (SRC) when given prior to SRC in the prospectively collected cohort from the European Scleroderma Trial and Research Group (EUSTAR). Methods SSc patients without prior SRC and at least one follow-up visit were included and analyzed regarding SRC, arterial hypertension, and medication focusing on antihypertensive medication and glucocorticoids (GC). Results Out of 14,524 patients in the database, we identified 7648 patients with at least one follow-up. In 27,450 person-years (py), 102 patients developed SRC representing an incidence of 3.72 (3.06–4.51) per 1000 py. In a multivariable time-to-event analysis adjusted for age, sex, disease severity, and onset, 88 of 6521 patients developed SRC. The use of ACEi displayed an increased risk for the development of SRC with a hazard ratio (HR) of 2.55 (95% confidence interval (CI) 1.65–3.95). Adjusting for arterial hypertension resulted in a HR of 2.04 (95%CI 1.29–3.24). There was no evidence for an interaction of ACEi and arterial hypertension (HR 0.83, 95%CI 0.32–2.13, p = 0.69). Calcium channel blockers (CCB), angiotensin receptor blockers (ARB), endothelin receptor antagonists, and GC—mostly in daily dosages below 15 mg of prednisolone—did not influence the hazard for SRC. Conclusions ACEi in SSc patients with concomitant arterial hypertension display an independent risk factor for the development of SRC but are still first choice in SRC treatment. ARBs might be a safe alternative, yet the overall safety of alternative antihypertensive drugs in SSc patients needs to be further studied.
Published: 2020

39. Recommendations for rheumatologists on pharmacological management during the COVID-19 health emergency: Expert group opinion

Author: Jhyld-Carolaind Camacho-Barbosa, Claudia-Lucía Giraldo Herrera, Josué-Guillermo López, Catalina Orozco González, Wilmer-Gerardo Rojas-Zuleta, Jorge-Hernando Donado, Lácides Padilla-Tovar, Rodrigo Giraldo-Bustos, Oscar-Jair Felipe-Díaz, Jesús-Giovanny Ballesteros, Natalia Duque-Zapata, Erika-Paola Navarro-Mendoza, and María-José López-Mora
Subjects: medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Antimaláricos, Pharmacological management, Terapia con medicamentos, Economic shortage, Context (language use), Disease, Antimalarials, Rheumatology, Drug Therapy, Reflexion Article, Pandemic, medicine, Intensive care medicine, skin and connective tissue diseases, business.industry, COVID-19, General Medicine, medicine.disease, Reumatología, Expert group, Coronavirus, Rheumatoid arthritis, Drug therapy, business
Abstract: RESUMEN La enfermedad por Coronavirus 2019 (COVID-19) es una pandemia inesperada que ha pro vocado un estado de emergencia y que ha generado cambios drásticos en los protocolos de atención clínica. Para su tratamiento se ha descrito el papel de algunos medicamen tos usados habitualmente en artritis reumatoide, lupus eritematoso sistémico y otras enfermedades autoinmunitarias sistémicas. Debido a ello, existe un inminente riesgo de desabastecimiento, por lo cual el objetivo de esta revisión narrativa y opinión de expertos es formular recomendaciones generales clínicas y administrativas sobre el manejo de pacien tes ambulatorios con enfermedad autoinmunitaria o inflamatoria sistémica en el contexto de la pandemia por COVID-19. ABSTRACT Coronavirus 2019 (COVID-19) is an unexpected pandemic that has caused a state of emergency, as well as generating drastic changes in clinical care protocols. Some drugs commonly used in rheumatoid arthritis, systemic lupus erythematosus, and other systemic autoimmune diseases have been described for its treatment. Therefore, there is an imminent risk of shortages. The aim of this narrative review and expert opinion is to present general recommendations on the clinical and administrative management of outpatients with autoimmune or systemic inflammatory disease, in the context of the COVID-19 pandemic.
Published: 2022

40. Endoscopic Vacuum Therapy via Pharyngostomy: Novel Access for Management of Upper Gastrointestinal Defects

Author: Manuel Giraldo-Grueso, Nathan Bolton, and Russell E. Brown
Subjects: medicine.medical_specialty, Pharyngostomy, medicine.diagnostic_test, business.industry, medicine.medical_treatment, Mortality rate, Perforation (oil well), Anastomotic Leak, General Medicine, Perioperative, Hernia repair, Roux-en-Y anastomosis, Endoscopy, Gastrointestinal, Endoscopy, Surgery, Esophagectomy, Upper Gastrointestinal Tract, medicine, Humans, Intubation, Upper gastrointestinal, business, Negative-Pressure Wound Therapy, Aged
Abstract: Background Perforation and anastomotic leakage of the upper gastrointestinal tract (UGI) has a high mortality and morbidity rate. Recently, UGI leaks have been treated with endoscopic vacuum therapy (EVT). However, this technique traditionally requires multiple EVT changes and a prolonged and uncomfortable nasoenteric intubation. We describe our experience using EVT through a novel pharyngostomy access to manage UGI leaks. Methods We describe our development and implementation of EVT via a novel pharyngostomy access to treat a variety of UGI defects. Preoperative, perioperative, and postoperative data were analyzed. Results Six patients with UGI perforations or anastomotic leaks were treated with an EVT using a pharyngostomy access. The median age was 69 years (IQR 53-71). Four patients leaked after an Ivor Lewis esophagectomy, one after a robotic para-esophageal hernia repair, and another after a Roux en Y esophagojejunostomy. Defects were detected on a median of 11.5 days (IQR 3-21). Median values for the duration of the EVT therapy and the number of EVT changes were 19.5 days (IQR 14-31) and 7 (IQR 6.5-9), respectively. Four of the patients were discharged with an EVT in place and were successfully managed as outpatients. At a median follow-up of 8 months, two patients developed strictures. None of the patients required any surgical re-intervention, they tolerated oral intake, and all leakages were confirmed closed by imaging and endoscopy. Discussion Endoscopic vacuum therapy can be successfully managed through a pharyngostomy access, as described. This access is easy, comfortable, and reliable and allows for a transition to outpatient management.
Published: 2021

41. Identification and characterization of nested-abbreviated terms in scientific discourse

Author: Natalia Rivas, Gabriel Quiroz, and John Jairo Giraldo
Subjects: Computer science, Terminology extraction, business.industry, Communication, Library and Information Sciences, Term (logic), Characterization (mathematics), computer.software_genre, Language and Linguistics, Noun phrase, Terminology, Identification (information), Phenomenon, Artificial intelligence, business, computer, Natural language processing, Meaning (linguistics)
Abstract: This paper analyzes nested-abbreviated terms from a linguistic perspective by describing their morphological, syntactic, and semantic features for terminology purposes. Nested-abbreviated terms can be considered as abbreviated forms, either initialisms or acronyms, which have within their meaning another abbreviated term. To carry out the analysis, 433 nested-abbreviated terms were extracted from two specialized dictionaries in English. Data analysis showed that, from the morphological and semantic perspective, nested-abbreviated terms behave like typical abbreviations. Important differences were found from a syntactic standpoint where nested abbreviated terms behave as premodifiers in the noun phrase (NP) in 98.93% of the cases. As this is the first time nested-abbreviated terms are studied, they were not only described but also analyzed and defined. Although the percentage of nested-abbreviated terms obtained from the dictionaries is relatively low, less than 1% of total abbreviations, it was found that it is highly relevant to study this growing phenomenon in specialized languages for terminology extraction, as well as for other purposes.
Published: 2021

42. Boxplot fences in proficiency testing

Author: Marta Torres, Ramón Giraldo, and Clara Morales
Subjects: Box plot, business.industry, Computer science, General Chemical Engineering, General Chemistry, Standard score, Plot (graphics), Data set, Data visualization, Quartile, Interquartile range, Statistics, Outlier, Safety, Risk, Reliability and Quality, business, Instrumentation
Abstract: The box and whiskers plot (boxplot) has shown to be an effective data visualization tool in proficiency testing. The boxplot provides a quick visual summary of the considered data set . All the descriptive aspects of data reported in a round of a proficiency test can be studied with this plot. Location (through median and quartiles), spread (by means of the interquartile range), shape (position of the median in the box), and possible outliers (values beyond of the fences) are simultaneously observed with the boxplot. In this paper, we propose a modification of the inner fences of the boxplot, in such a way that they are in accordance with the approach based on the z score (standard ISO 13528) and therefore useful to recognize graphically questionable and unacceptable values in proficiency testing.
Published: 2021

43. Marketing sostenible y responsabilidad social organizacional: un camino hacia el desarrollo sostenible

Author: José Londoño-Cardozo, Estefanía O’neill-Marmolejo, Claudia Lorena Giraldo-Patiño, and Diana Carolina Micolta-Rivas
Subjects: Complementary and alternative medicine, Pharmaceutical Science, Pharmacology (medical), Business
Abstract: Los impactos negativos al ambiente, como la escasez de recursos naturales, el deterioro a los ecosistemas o los daños a la capa de ozono, se generan de manera rápida y creciente, debido al desarrollo industrial y el consumo indiscriminado de las personas como consecuencia del sistema económico dominante desde mediados del siglo XX. Esta situación impulsa una serie de prácticas que buscan solucionar dichas problemáticas y que se orientan a la conservación del entorno ambiental o a la solución de situaciones sociales. Entre estas aparece el marketing sostenible como práctica integradora de los principios y materias fundamentales de la responsabilidad social organizacional (RSO). En tal sentido, este documento discute los principios del marketing sostenible y la RSO como un camino hacia la sostenibilidad que promueve un consumo y producción responsable. Por lo anterior, se plantean algunas estrategias de marketing encaminadas a responder los requerimientos de los consumidores, que se alinean con los objetivos organizacionales y los principios ambientales, a través del desarrollo de productos ecológicos. La metodología empleada es una revisión sistémica de literatura que parte de dos proyectos interinstitucionales que se relacionan en su preocupación por la sostenibilidad. El documento concluye que la aplicación de una responsabilidad social fundamental es necesaria para que el marketing sostenible pueda darse de forma correcta.
Published: 2021

44. Evolution of scientific production on accounting fraud in organizations: Bibliometric analysis

Author: Daniel Grajales-Gaviria, Alejandro Valencia-Arias, María Camila Bermeo-Giraldo, and Lucia Palacios-Moya
Subjects: HF5001-6182, Economics, organização, Strategy and Management, contabilidade, accounting, controle interno, Métodos de investigación, vocabularies.unesco.org/thesaurus/concept4470 [http], M49 Other, internal control, Management of Technology and Innovation, Business, Corrupción, media_common, Marketing, Welfare economics, Corporate governance, Scientific production, organization, Base de datos, Trend analysis, vocabularies.unesco.org/thesaurus/concept6676 [http], vocabularies.unesco.org/thesaurus/concept669 [http], id.loc.gov/authorities/subjects/sh85018260 [http], vocabularies.unesco.org/thesaurus/concept501 [http], Research development, contabilidad, fraud, Theme (narrative), Empresa, Economics and Econometrics, Corruption, media_common.quotation_subject, Business economics, Audit, id.loc.gov/authorities/subjects/sh99002080 [http], Economía, Economía de la empresa, Delitos económicos, Databases, fraude, Political science, id.loc.gov/authorities/subjects/sh85028935 [http], Bibliometría, Business and International Management, control interno, M40 General, Negocios, organización, vocabularies.unesco.org/thesaurus/concept1183 [http], Auditing, Data bases, id.loc.gov/authorities/subjects/sh85040850 [http], Bibliometrics, Commercial crimes, id.loc.gov/authorities/subjects/sh85013873 [http], Enterprises, M41 Accounting, Auditoría, Finance, Research methods, id.loc.gov/authorities/subjects/sh85051619 [http]
Abstract: Resumen El fraude ha sido un gran mal para las economías, la sociedad y las empresas, dada la inestabilidad e impacto que genera. Este estudio tuvo como objetivo analizar la evolución de la producción científica sobre el fraude contable en las organizaciones, a partir de un estudio bibliométrico para el análisis de tendencias. Se identificaron 246 publicaciones científicas en el periodo 1978-2019 y 394 autores. Los resultados comprueban el interés investigativo existente en el tema, señalan como tendencias temáticas la administración, la auditoría, el gobierno corporativo y la corrupción, y el riesgo se postula como la principal temática emergente. Sugieren, además, direcciones futuras para los investigadores y aportes al desarrollo investigativo del campo de conocimiento en cuestión. Clasificación JEL: M40; M41; M49. Abstract Fraud has been a great evil for economies, society, and companies, given the instability and impacts it generates. This study aimed to analyze the evolution of scientific production on accounting fraud in organizations, based on a bibliometric study for the trend analysis. It was identified 246 scientific publications in the period 1978-2019 and 394 authors. The results verify the existing research interest in the subject, pointing out thematic trends in administration, auditing, corporate governance, and corruption, with risk as the main emerging theme. They also suggest future directions for researchers and contributions to the research development of the field of knowledge in question. Resumo A fraude tem sido um grande mal para a economia, a sociedade e as empresas, dada a instabilidade e o impacto que gera. Este estudo teve como objetivo analisar a evolução da produção científica sobre fraude contábil nas organizações, a partir de um estudo bibliométrico para análise de tendências. Foram identificadas 246 publicações científicas no período 1978-2019 e 394 autores. Os resultados verificam o interesse investigativo existente no assunto, apontam como tendências temáticas administração, auditoria, governança corporativa e corrupção, e o risco é postulado como o principal tema emergente. Também sugerem rumos futuros para pesquisadores e contribuições para o desenvolvimento de pesquisas na área do conhecimento em questão.
Published: 2021

45. Initial shear demand in beams and one-way slabs subjected to blast load

Author: Santiago Pujol and Oscar A. Ardila-Giraldo
Subjects: Timoshenko beam theory, Materials science, business.industry, Numerical analysis, 0211 other engineering and technologies, Finite difference, Equations of motion, 020101 civil engineering, 02 engineering and technology, Building and Construction, Structural engineering, Finite element method, 0201 civil engineering, Structural element, Shear (sheet metal), 021105 building & construction, Architecture, Safety, Risk, Reliability and Quality, business, Beam (structure), Civil and Structural Engineering
Abstract: Experimental evidence shows that a beam that can develop a flexural mechanism of failure under static load may fail in shear under blast load during its initial stages of response. Shear failure limits the ability of the beam to “absorb” the energy imparted by blast load. Because energy-absorption capacity is the key to the survival of a structural element to blast, initial shear failure must be avoided. To do so, the likelihood of a change in the failure mechanism (from flexure to shear) of a beam under blast load must be quantified. This can be done by evaluating the ratio of initial shear demand to shear capacity for the beam. The matter is not as simple as it may appear because, for dynamic and impulsive load, shear demand depends on inertial forces and shear capacity depends on loading rate. This paper presents the results of analytical and numerical investigations conducted to characterize the initial response and provide simple means to estimate initial shear demand in beams subjected to blast. Two simple numerical methods are used to estimate shear demand: (1) a finite difference-based solution of the equations of motion of a linear Timoshenko beam; and (2) a method proposed by the authors based on an equivalent linear single-degree-of-freedom (SDOF) system and the work done by Biggs (1964) to compute dynamic reactions. The results for maximum shear obtained with both methods are compared with results from finite element analysis (FEA) of beams subjected to blast. Initial shear response of one-way reinforced concrete slabs tested under blast load is also analyzed using the two simple methods. It is shown that these methods provide results that are in reasonable agreement with FEA results and experimental observations, which makes them suitable for preliminary blast-resistant design, especially considering their simplicity.
Published: 2021

46. Comparison of radiation dose and image quality between contrast-enhanced single- and dual-energy abdominopelvic computed tomography in children as a function of patient size

Author: Juan Carlos Ramirez-Giraldo, Joyce Mhlanga, Marilyn J. Siegel, and Amber Salter
Subjects: Dual energy, medicine.diagnostic_test, Image quality, business.industry, media_common.quotation_subject, Ultrasound, Radiation dose, Dual-Energy Computed Tomography, Computed tomography, Pediatrics, Perinatology and Child Health, Contrast (vision), Medicine, Radiology, Nuclear Medicine and imaging, business, Nuclear medicine, media_common, Neuroradiology
Abstract: Widespread adoption of dual-energy computed tomography (DECT) requires evidence it does not cause higher radiation dose than conventional single-energy CT (SECT). While a few publications involving pediatric patients exist, most have focused on small cohorts. Hence, there is still a need for studies that ascertain what radiation doses are expected in larger populations that include representative ranges of patient sizes and ages. To compare radiation dose and image quality of DECT and SECT abdominopelvic examinations in children as a function of patient size. This retrospective study included 860 children (age range: 12.3±5.3 years) who underwent contrast-enhanced abdominopelvic exams on second-generation dual-source CT in a five-year period. Two groups, SECT and DECT, consisting of 430 children each, were matched by 5 effective diameters. Volume CT dose index (CTDIvol) and size-specific dose estimate (SSDE) were analyzed as a function of effective diameter. Objective image quality was compared between the groups. DECT SSDEs were lower across all effective patient diameters compared with SECT (mean: 8.5±1.8 mGv vs. 9.3±2.0 mGv, respectively, P≤0.001). DECT CTDIvol was lower compared to SECT (mean: 5.6±2.4 mGv vs. 6.1±2.7 mGv, respectively, P≤0.001) except in the smallest diameter group ( 0.05). In children, regardless of effective diameter, contrast-enhanced abdominopelvic DECT can be performed with a similar or lower dose and similar image quality compared with SECT examinations.
Published: 2021

47. Glomerulonefritis rápidamente progresiva mediada por inmunocomplejos (tipo II). Revisión de la literatura

Author: Miguel Bernardo Giraldo-Serna, Andrés Felipe Lotero-Cadavid, Camilo Andrés García Prada, John Fredy Nieto-Ríos, Luis F. Arias, and Lina María Serna-Higuita
Subjects: Pathology, medicine.medical_specialty, medicine.diagnostic_test, business.industry, 030232 urology & nephrology, Renal function, Glomerulonephritis, Disease, 030204 cardiovascular system & hematology, Immunofluorescence, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, Immune system, Oliguria, Edema, Etiology, Medicine, medicine.symptom, business
Abstract: La glomerulonefritis rápidamente progresiva mediada por complejos inmunes (GMNRP II) es un síndrome clínico caracterizado por el rápido deterioro de la función renal asociado a hematuria, edemas y oliguria. Histológicamente se manifiesta como una glomerulonefritis crescéntica, con la presencia de depósitos granulares en la inmunofluorescencia. Aunque es una enfermedad rara, es grave y puede evolucionar a una enfermedad renal crónica, por lo cual es fundamental su identificación temprana. A continuación, se presenta una revisión sobre este tipo de glomerulonefritis, con énfasis en su etiología y en las opciones terapéuticas existentes en la actualidad.
Published: 2021

48. Evaluación de nódulos tiroideos con interpretación citológica rápida en el sitio (ROSE)

Author: Lina Marcela Restrepo-Giraldo and Laura Joanna Tapia-Vela
Subjects: Thyroid nodules, medicine.medical_specialty, medicine.diagnostic_test, business.industry, Sample (material), Combined use, 030209 endocrinology & metabolism, medicine.disease, Sample quality, 03 medical and health sciences, 0302 clinical medicine, Fine-needle aspiration, 030220 oncology & carcinogenesis, Medicine, In patient, Radiology, business, Biopsy procedure
Abstract: La aspiración con aguja fina (ACAF) es una técnica ampliamente utilizada por su alta seguridad y fácil uso. Sin embargo, al usarse en conjunto con la evaluación rápida de la muestra en el sitio de la toma (ROSE, del inglés, Rapid On-Site Evaluation), disminuyen los tiempos necesarios para la evaluación y el diagnóstico, mejora la calidad de la muestra, disminuye el número de punciones por procedimiento y limita la necesidad de repetir la prueba, lo que hace que el uso combinado de ambas técnicas sea de gran utilidad y cada vez más solicitado en los servicios de imágenes diagnósticas y patología. ROSE, además, permite una clasificación adecuada del material recolectado para cultivos, estudios de citometría de flujo y pruebas moleculares. Particularmente, en los pacientes con nódulos tiroideos, la realización de ROSE durante el procedimiento de evaluación ecográfica y punción, puede garantizar que la muestra extraída sea suficiente y adecuada para el diagnóstico, y, así mismo, permite evaluar la necesidad de estudios complementariosde manera inmediata, brindando un diagnóstico rápido y preciso, disminuyendo los costos relacionados con la repetición del procedimiento y la morbilidad asociada a complicaciones por punciones múltiples.
Published: 2021

49. Evaluación de modelos de programación lineal y no lineal para la planeación de sistemas de transmisión en el software GAMS

Author: Diego Felipe Blanco Valbuena, Diego Ramirez, Oscar Danilo Montoya Giraldo, and Carlos Yesid Vargas Robayo
Subjects: Mathematical optimization, Similarity (geometry), programación no lineal entera mixta, Computer science, business.industry, Optimal cost, Linear model, Transmission system, optimización de sistemas de potencia, power system optimization, planeamiento sistemas de transmisión, Nonlinear programming, Electric power system, Software, transmission system planning, GAMS, Algebraic number, business, mixed-integer nonlinear programming
Abstract: Resumen Objetivo: Este trabajo analiza el costo óptimo de expansión, el número de líneas a incluir y el tiempo de simulación computacional para dos sistemas transmisión, empleando programación no lineal entera mixta a través de los solver del software GAMS (General Algebraic Modeling System). El objetivo es determinar las diferencias en los costos de expansión cuando se emplea el modelo de transporte, DC, híbrido lineal y lineal disyuntivo. Metodología: Está dividida en cinco etapas: la primera identifica el sistema de transmisión, la segunda establece el problema de planeamiento del sistema de transmisión, la tercera realiza la formulación del sistema de potencia de acuerdo con cada uno de los modelos de optimización, la cuarta aplica la formulación del sistema de potencia en el software GAMS y la última selecciona el costo óptimo. Resultados: Desde el análisis de costo óptimo, el modelo DC y el modelo lineal disyuntivo presentaron el mayor costo óptimo respecto al modelo de transporte y al modelo hibrido lineal. Conclusiones: Los modelos implementados presentaron desempeños equivalentes en el sistema de prueba con el menor número de nodos; al aumentar el número de nodos, el desempeño de los modelos no presenta similitud. Por el contrario, se identifican diferencias importantes en los resultados obtenidos, lo que permite caracterizar solver específicos de acuerdo con el número de nodos. Abstract Objective: This work analyzes the optimal expansion cost, the number of lines to include, and the computational simulation time for two transmission systems, using mixed-integer nonlinear programming through the solvers of the GAMS (General Algebraic Modeling System) software. The objective is to determine the differences in expansion costs using the transport model, DC model, linear hybrid, and disjunctive linear. Methodology: The methodology of this study is divided into five stages. The first identifies the transmission system; the second establishes the transmission system planning problem; the third performs the formulation of the power system according to each of the optimization models; the fourth applies the formulation of the power system in the GAMS software; the last selects the optimal cost. Results: Considering the optimal cost analysis, the DC model and the disjunctive linear model present the highest optimal cost concerning the transport model and the linear hybrid model. Conclusions: The implemented models presented equivalent performances in the test system with the smallest number of nodes; by increasing the number of nodes, the performance of the models does not present similarity. On the contrary, the results present significant differences that allow characterizing specific solvers according to the number of nodes.
Published: 2021

50. Antiphospholipid syndrome (APS): Clinical and immunoserological differences between primary and secondary APS in a Colombian cohort

Author: Laura Uribe-Arango, J. C. Diaz-Coronado, Juan David López-López, Daniel Gonzalez-Hurtado, Deicy Hernandez-Parra, Laura Betancur-Vásquez, Santiago Monsalve-Yepes, María Fernanda Saavedra-Chacón, Jorge Lacouture-Fierro, José David Serna-Giraldo, Juanita González-Arango, María Camila Soto-Osorio, Sebastián Herrera-Uribe, Ricardo Pineda-Tamayo, Yecenia Durango, Sebastián Guerra-Zarama, and Julián Barbosa-Arana
Subjects: medicine.medical_specialty, education.field_of_study, business.industry, Deep vein, Population, Retrospective cohort study, General Medicine, medicine.disease, Thrombosis, Pulmonary embolism, medicine.anatomical_structure, Antiphospholipid syndrome, Internal medicine, Cohort, medicine, business, education, Stroke
Abstract: Introduction Antiphospholipid syndrome (APS) is a systemic autoimmune disease characterized by recurrent thrombosis that can affect the arterial and venous circulation. Objectives To analyze the immunological and pharmacological differences, as well as the clinical outcomes of a cohort of patients with primary antiphospholipid syndrome and secondary antiphospholipid syndrome. Materials and methods A retrospective cohort study was conducted that included 352 records of patients diagnosed with APS and treated between 2014 and 2018. A description is presented of the sociodemographic, clinical, and immunological profile of the population. A bivariate analysis performed using the chi-squared test to determine differences between groups with primary APS and secondary APS, and finally a multivariate analysis to search for associations with thrombotic clinical outcomes in patients with APS. Results The mean age was 42.4 ± 14 years, and 84.6% were females. Two-thirds (67.6%) of the patients had a diagnosis of primary APS, and 32.4% of secondary APS, of which 84% were associated with systemic lupus erythematosus (SLE). Among the thrombotic events, the most frequent were deep vein thrombosis (17.3%) and stroke (9.9%). Obstetric events were frequent, with a prevalence of 39.4% for miscarriages. No differences were found in the sociodemographic or immunoserological profile when comparing the group of primary vs. secondary APS. Thrombotic events were more frequent in the primary APS group, although only pulmonary embolism reached statistical significance. There were no differences between the two groups as regards obstetric events, such as miscarriages. Women were found to be 5 times more likely to have a stroke and 3 times more to have deep vein thrombosis. The anti-B2GPI type IgM increased the probability of presenting miscarriages about 3 times in women with APS. Conclusion The study contains one of the largest Colombian cohorts with APS reported so far, and although it is both clinically and sociodemographically similar to other cohorts, there is a higher prevalence of primary APS. There was a lower frequency of thrombotic complications compared to other cohorts. Patients with primary APS had a tendency to develop thrombosis, as has already been reported in the literature.
Published: 2021

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