Author: "Cheung, A." / Topic: business - Searchworks@Jio Institute Digital Library Search Results

28,193 results on '"Cheung, A."'

1. Richmond forecast 2024

Author: Cheung, Oi Lin
Subjects: Social service, Retail industry, Economic conditions, Food services -- Industry forecasts, Business
Abstract: Richmond, the seat of Wayne County, is located on Indiana's eastern border. This article focuses on the recent performance of selected key economic indicators and the 2024 economic outlook for [...]
Published: 2023

2. Inter-industry FDI spillovers from foreign banks: Evidence in transition economies

Author: Qi, Shusen, Hui, Kent Ngan-Cheung, and Ongena, Steven
Subjects: Financial research, Transition economy -- Analysis, Foreign banks -- Analysis, Foreign investments -- Analysis, Banking industry -- Analysis, Financial management -- Research, Banking industry, World market, Banking, finance and accounting industries, Business
Abstract: Using a sample of nonfinancial domestic firms in transition economies from Eastern Europe and Central Asia, we examine whether and how inter-industry spillover from foreign direct investment in the banking sector occurs. Our findings show that the innovation pursued by domestic firms benefits from foreign bank penetration. However, these positive inter-industry spillovers surprisingly do not seem to work through enhanced credit access. We further find these positive spillovers to occur mainly for foreign banks that use relationship lending, domestic firms that do not export, and host countries that are less open to the global market. KEYWORDS FDI spillovers, foreign banks, innovation, services FDI, transition economies, 1 | INTRODUCTION How foreign direct investment (FDI) influences domestic firms' performance is important because it could help policy makers decide how open they should be to FDI. Generally, FDI [...]
Published: 2023
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3. Unmet needs for food, medicine, and mental health services among vulnerable older adults during the COVID-19 pandemic

Author: Tai-Seale, Ming, Cheung, Michael W., Kwak, Jamie, Harris, Victoria, Madonis, Samantha, Russell, Lc, Haley, Eileen, and Agnihotri, Parag
Subjects: Aged -- Health aspects, Mental health -- Care and treatment, Business, Health care industry
Abstract: Objective: To examine sociodemographic factors associated with having unmet needs in medications, mental health, and food security among older adults during the COVID-19 pandemic. Data Sources and Study Setting: Primary data and secondary data from the electronic health records (EHR) in an age-friendly academic health system in 2020 were used. Study Design: Observational study examining factors associated with having unmet needs in medications, food, and mental health. Data Collecting/Extraction Methods: Data from a computer-assisted telephone interview and EHR on community-dwelling older patients were analyzed. Principle Findings: Among 3400 eligible patients, 1921 (53.3%) (average age 76, SD 11) responded, with 857 (45%) of respondents having at least one unmet need. Unmet needs for medications were present in 595 (31.0%), for food in 196 (10.2%), and for mental health services in 292 (15.2%). Racial minorities had significantly higher probabilities of having unmet needs for medicine and food, and of being referred for services related to medications, food, and mental health. Patients living in more resource-limited neighborhoods had a higher probability of being referred for mental health services. Conclusions: Age-friendly health systems (AFHS) and their recognition should include assessing and addressing social risk factors among older adults. Proactive efforts to address unmet needs should be integral to AFHS. KEYWORDS aging, healthy place index, neighborhood resources, social determinants of health, unmet needs What is known on this topic * Both residential geographical area and person-level sociodemographic factors are associated with having unmet needs for important services. * Little is known about the association of geographical area resource limitations with unmet needs and the probability of receiving services to address unmet needs after accounting for individual factors. What this study adds * Individual sociodemographic and health risk factors are associated with having unmet needs in what matters to older adults (medications, mental health, and food security). * Geographical area resource limitations are associated with the probabilities of receiving services to address mental health needs after accounting for the individual-level factors. * Higher levels of anxiety were associated with having unmet needs for medications and the probability of being referred for services to address food insecurity after accounting for other factors., 1 | INTRODUCTION The age-friendly health systems (AFHS) framework incorporates four elements (What Matters, Medication, Mentation, and Mobility) known as the 4 M's to guide the quality care of older [...]
Published: 2023
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4. Richmond forecast 2023

Author: Cheung, Oi Lin
Subjects: Social service, Food services, Business, International Monetary Fund
Abstract: Richmond, the seat of Wayne County, is located on the eastern border of Indiana. Throughout this article, the Richmond region refers to seven east-central Indiana counties: Fayette, Franklin, Henry, Randolph, [...]
Published: 2022

5. External auditors’ trust and perceived quality of interactions

Author: Kwok Yip Cheung and Chung Yee Lai
Subjects: Competence trust, integrity trust, Goodwill trust, Audit quality, perceived quality of interactions, Business, HF5001-6182, Management. Industrial management, HD28-70
Abstract: The external auditor cooperates and communicates with the audit committee of a company to ensure effective external audit, including detection of material misstatements in financial statements. Trust is an important element to facilitate information exchange and cooperation. This exploratory research examines the impacts of external auditors’ trust in audit committee members’ competence, integrity and goodwill on perceived quality of their interactions. Through questionnaire survey, the data were collected from audit managers, senior managers, directors and partners in Hong Kong with a response rate of 27.2 percent. Partial least square structural equation modeling and principal component analysis were employed to test the proposed model. The results reveal that the external auditor’s competence trust and integrity trust in the audit committee members are two strong motivators, which improve their interactions with the audit committee. The findings also confirm that perceived quality of interactions during pre-engagement investigation mediates the impacts of competence trust and integrity trust on perceived quality during audit performance stage. The implication of the study is that audit committee members should display high levels of competence and integrity for better interactions with external auditors. These findings provide inspirations for board of directors, executives and policymakers to implement policies that enhance trust among actors to improve audit quality.
Published: 2022
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6. The impacts of audit committee expertise on real earnings management: Evidence from Hong Kong

Author: Kwok Yip Cheung and Chi Veng Chung
Subjects: agency theory, audit committees, oversight effectiveness, discretionary accruals, Hong Kong, Business, HF5001-6182, Management. Industrial management, HD28-70
Abstract: This study examines the impacts of seven types of audit committee expertise (accounting academic, auditing, finance academic, CEO or finance director, other finance, industry and legal expertise) on real earnings management. 1054 firm-year observations are used in the study. The sample firms are collected from Hong Kong Hang Seng Composite Index between 2010 and 2015. Real earnings management are measured as abnormal cash flows, abnormal production costs, and abnormal discretionary expenditures. Using dynamic panel difference GMM model that is robust for endogeneity caused by reverse causality, we find that Hong Kong firms having strong audit committee expertise are more likely to have higher levels of real earnings management. Overall, our findings support the view that the strong accounting, finance and legal experts on the audit committee, no matter whether they have practical experience or academic experience, encourage managers to switch their earnings management strategies whilst CFO or finance director expertise constrains real earnings management. The findings are of potential interest to policymakers, professionals, boards of directors, audit firms and academics.
Published: 2022
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7. Richmond forecast 2022

Author: Cheung, Oi Lin
Subjects: Unemployment -- Indiana, Labor supply, Business
Abstract: Wayne County, the home of Richmond on the eastern side of Indiana, is home to more than 65,000 residents and a labor force of 30,000. It provides nearly 40,000 jobs [...]
Published: 2021

8. Can microblogging information disclosure reduce stock price synchronicity?: Evidence from China

Author: Zhou, Donghua, Zhao, Yujie, Lin, Philip T, Li, Bin, and Cheung, Adrian
Published: 2019

9. Richmond forecast 2021

Author: Cheung, Oi Lin
Subjects: Unemployment, Labor supply, Business, International Monetary Fund
Abstract: Total personal income and per capita personal income (PCPI) of Wayne County increased by a bigger percentage in 2018 (the most current data available at the time of this writing) [...]
Published: 2020

10. Application of fuzzy integrated FMEA with product lifetime consideration for new product development in flexible electronics industry

Author: Kelvin P.L.Pun, Jason Rotanson, Cheung Chee-wah, and Alan H.S., Chan
Subjects: New product development, risk management, failure mode and effect analysis, critical parameter management, advanced manufacturing, industry 4.0, Industrial engineering. Management engineering, T55.4-60.8, Social Sciences, Commerce, HF1-6182, Business, HF5001-6182
Abstract: Purpose: the aim of this paper is to minimize the risks of new product development and shorten time-to-market, particularly for high-tech enterprise where the complexity of the product generate vast amount of failure mode. Design/methodology/approach: first, the concept of Critical Consideration Factor (CCF) is introduced based on product-specific technical characteristics, expected lifetime, and yield requirement to identify and prioritize the critical failure mode in the subsequent Failure Mode and Effect Analysis (FMEA), followed by process characterization on the high risk failure mode and Critical Parameter Management (CPM) practice to realize a robust mass production system of the developed technology. The application on the development of advanced flexible substrate and surface finishes fabrication technique is presented. Findings: through the proposed methodology, the risk level of each potential failure mode can be accurately quantified to identify the critical variables. With process characterization, reliability of the product is ensured. Consequently, significant reduction in development resources and time-to-market can be achieved. Practical implications: the development strategy allows high tech enterprises to achieve a balanced ecosystem in which value created through adaption of new technology/product can be thoroughly captured through commercialization in a timely manner with no field failure. Originality/value: the proposed development strategy utilizes a unique approach with thorough considerations that enables high tech enterprise to deliver new product with rapid time-to-market without sacrificing product lifetime reliability, which is key to achieve competitive advantage in the highly dynamic market.
Published: 2019
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11. Ultrasound-guided central venous access for patients in the Intensive Care Unit in prone position: report of three cases

Author: Bruno Manuel Marques Lima and Linda Cheung
Subjects: Supine position, business.industry, medicine.medical_treatment, SARS-CoV-2 pneumonia, General Medicine, medicine.disease, Intensive care unit, Article, law.invention, Prone position, Pneumonia, law, Anesthesia, Ultrasound, Case report, Internal jugular vein, medicine, Decompensation, Respiratory system, business, Central venous catheter
Abstract: The prone position is extensively used to improve oxygenation in patients with severe acute respiratory distress syndrome caused by SARS-CoV-2 pneumonia. Occasionally, these patients exhibit cardiac and respiratory functions so severely compromised they cannot tolerate lying in the supine position, not even for the time required to insert a central venous catheter. The authors describe three cases of successful ultrasound-guided internal jugular vein cannulation in prone position. The alternative approach here described enables greater safety and well-being for the patient, reduces the number of episodes of decompensation, and risk of tracheal extubation and loss of in-situ vascular lines.
Published: 2023

12. Identity-Preserved Complete Face Recovering Network for Partial Face Image

Author: Yiu-ming Cheung and Mengke Li
Subjects: Computational Mathematics, Communication, Control and Optimization, Artificial Intelligence, business.industry, Identity (social science), Face (sociological concept), Sociology, business, Computer Science Applications, Image (mathematics)
Published: 2023

13. Richmond forecast 2020

Author: Cheung, Oi Lin
Subjects: Labor force, Unemployment, Retail trade, Business, International Monetary Fund
Abstract: Total personal income and per capita personal income (PCPI) in Wayne County increased by a larger percentage in 2017 (the most current data available) than in 2016. In contrast, the [...]
Published: 2019

14. Sampling-Based Approximation Schemes for Capacitated Stochastic Inventory Control Models

Author: Cheung, Wang Chi and Simchi-Levi, David
Subjects: Stochastic approximation -- Research, Inventory control -- Models, Mathematical research, Business, Computers and office automation industries, Mathematics
Abstract: We study the classical multiperiod capacitated stochastic inventory control problems in a data-driven setting. Instead of assuming full knowledge of the demand distributions, we assume that the demand distributions can only be accessed through drawing random samples. Such data-driven models are ubiquitous in practice, where the cumulative distribution functions of the underlying random demand are either unavailable or too complex to work with. We consider the sample average approximation (SAA) method for the problem and establish an upper bound on the number of samples needed for the SAA method to achieve a near-optimal expected cost, under any level of required accuracy and prespecified confidence probability. The sample bound is polynomial in the number of time periods as well as the confidence and accuracy parameters. Moreover, the bound is independent of the underlying demand distributions. However, the SAA requires solving the SAA problem, which is #P-hard. Thus, motivated by the SAA analysis, we propose a polynomial time approximation scheme that also uses polynomially many samples. Finally, we establish a lower bound on the number of samples required to solve this data-driven newsvendor problem to near-optimality. Funding: W. C. Cheung was supported by a graduate fellowship from the Agency for Science, Technology and Research, Singapore. Keywords: sample average approximation * inventory models * approximation algorithms, 1. Introduction We consider the multiperiod capacitated stochastic inventory control problem in a data-driven setting. This problem encapsulates the dilemma of matching supply with volatile demand for a commodity, in [...]
Published: 2019
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15. Perceptions of Infertility Risk Among Chinese Parents of Children with Cancer: A Qualitative Study

Author: Ho Yu Cheng, Teddy Tai Ning Lam, Samantha Lai-Ka Lee, Ho Cheung Chau, Chi Kong Li, Alex Wing Kwan Leung, Yin Ting Cheung, Lok Sum Yang, Nelson C. Y. Yeung, and Cedric Ka Chun Cheung
Subjects: Adult, Parents, Infertility, China, media_common.quotation_subject, Young Adult, Neoplasms, Perception, medicine, Humans, Fertility preservation, Young adult, Child, media_common, business.industry, Collectivism, Cancer, medicine.disease, Infertility risk, Fertility, Oncology, Pediatrics, Perinatology and Child Health, business, Qualitative research, Clinical psychology
Abstract: Objective: Anticancer treatment may be associated with damage to the reproductive organs and risk of infertility in children with cancer. The collectivist cultural norms of Asian societies may lead...
Published: 2022

16. Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural Network

Author: Ho-Cheung Ng, Sharatchandra Varma Bogaraju, Kelvin C. M. Lee, Hayden K.-H. So, Justin S. J. Wong, Bob M. F. Chung, Maolin Wang, Ho Cheung Shum, and Kevin K. Tsia
Subjects: Hardware architecture, Artificial neural network, Computer Networks and Communications, business.industry, Computer science, 02 engineering and technology, Convolutional neural network, Reconfigurable computing, Computer Science Applications, Artificial Intelligence, Analytics, Image Processing, Computer-Assisted, Leukocytes, Mononuclear, 0202 electrical engineering, electronic engineering, information engineering, Humans, 020201 artificial intelligence & image processing, Neural Networks, Computer, Latency (engineering), business, Field-programmable gate array, Throughput (business), Algorithms, Software, Computer hardware
Abstract: Real-time in situ image analytics impose stringent latency requirements on intelligent neural network inference operations. While conventional software-based implementations on the graphic processing unit (GPU)-accelerated platforms are flexible and have achieved very high inference throughput, they are not suitable for latency-sensitive applications where real-time feedback is needed. Here, we demonstrate that high-performance reconfigurable computing platforms based on field-programmable gate array (FPGA) processing can successfully bridge the gap between low-level hardware processing and high-level intelligent image analytics algorithm deployment within a unified system. The proposed design performs inference operations on a stream of individual images as they are produced and has a deeply pipelined hardware design that allows all layers of a quantized convolutional neural network (QCNN) to compute concurrently with partial image inputs. Using the case of label-free classification of human peripheral blood mononuclear cell (PBMC) subtypes as a proof-of-concept illustration, our system achieves an ultralow classification latency of 34.2 [Formula: see text] with over 95% end-to-end accuracy by using a QCNN, while the cells are imaged at throughput exceeding 29 200 cells/s. Our QCNN design is modular and is readily adaptable to other QCNNs with different latency and resource requirements.
Published: 2022

17. Tendering and biosimilars: what role for value-added services?

Author: Steven Simoens and Raymond Cheung
Subjects: biosimilar, tendering, value-added services, sustainability, infliximab, Public aspects of medicine, RA1-1270, Business, HF5001-6182
Abstract: Background: Access to biologic medicines (including biosimilars) across Europe is largely governed by a process of tendering conducted by health authorities. Over-reliance on treatment costs in awarding tenders has the potential to hinder competition and undermine the long-term sustainability of biosimilars. Objective: To assess the extent and impact of consideration of ‘value-added services’ (VAS) in tendering for biosimilars, we conducted a narrative review of published literature. Results: Findings from survey-based publications indicated that tendering practices for biosimilars are widely used, with cost being the main determinant of success and little detail being available on other criteria where these apply. Criteria (of therapeutic and technical interest) beyond price were included in one tendering specification for infliximab (originator and biosimilars), while a separate tender for the same product included VAS in the form of therapeutic drug monitoring, measurement of antibodies and calprotectin. Conclusions: Published evidence concerning inclusion of VAS in tendering for biosimilars is lacking. Development and implementation of standardized criteria and methods of assessment for tenders may avoid manufacturers facing segmented markets, encourage competition and the longer-term sustainability of biosimilars, and realize the healthcare system and patient benefits these treatments can bring.
Published: 2020
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18. Shell Theory: A Statistical Model of Reality

Author: Changhao Ren, Hongdong Li, Yasuyuki Matsushita, Ngai-Man Cheung, Siying Liu, and Wen-Yan Lin
Subjects: Mathematical model, Computer science, business.industry, Semantics (computer science), Applied Mathematics, Statistical model, Shell theory, Computational Theory and Mathematics, Artificial Intelligence, Natural (music), Computer Vision and Pattern Recognition, Artificial intelligence, business, Random variable, Software, Generative grammar, Distance based
Abstract: The foundational assumption of machine learning is that the data under consideration is separable into classes; while intuitively reasonable, separability constraints have proven remarkably difficult to formulate mathematically. We believe this problem is rooted in the mismatch between existing statistical techniques and commonly encountered data; object representations are typically high dimensional but statistical techniques tend to treat high dimensions a degenerate case. To address this problem, we develop a dedicated statistical framework for machine learning in high dimensions. The framework derives from the observation that object relations form a natural hierarchy; this leads us to model objects as instances of a high dimensional, hierarchal generative processes. Using a distance based statistical technique, also developed in this paper, we show that in such generative processes, instances of each process in the hierarchy, are almost-always encapsulated by a distinctive-shell that excludes almost-all other instances. The result is shell theory, a statistical machine learning framework in which separability constraints (distinctive-shells) are formally derived from the assumed generative process.
Published: 2022

19. Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment

Author: Albert C. Cheung, Baiying Lei, Wen Yu, Shuqiang Wang, Yanyan Shen, and Michael K. Ng
Subjects: Computer Networks and Communications, Computer science, Pooling, Neuroimaging, 02 engineering and technology, Machine learning, computer.software_genre, Alzheimer Disease, Artificial Intelligence, Classifier (linguistics), 0202 electrical engineering, electronic engineering, information engineering, Humans, Cognitive Dysfunction, High order, business.industry, Deep learning, Brain, Magnetic Resonance Imaging, Computer Science Applications, Visualization, Data set, 020201 artificial intelligence & image processing, Neural Networks, Computer, Disease assessment, Artificial intelligence, business, computer, Software
Abstract: It is of great significance to apply deep learning for the early diagnosis of Alzheimer's disease (AD). In this work, a novel tensorizing GAN with high-order pooling is proposed to assess mild cognitive impairment (MCI) and AD. By tensorizing a three-player cooperative game-based framework, the proposed model can benefit from the structural information of the brain. By incorporating the high-order pooling scheme into the classifier, the proposed model can make full use of the second-order statistics of holistic magnetic resonance imaging (MRI). To the best of our knowledge, the proposed Tensor-train, High-order pooling and Semisupervised learning-based GAN (THS-GAN) is the first work to deal with classification on MR images for AD diagnosis. Extensive experimental results on Alzheimer's disease neuroimaging initiative (ADNI) data set are reported to demonstrate that the proposed THS-GAN achieves superior performance compared with existing methods, and to show that both tensor-train and high-order pooling can enhance classification performance. The visualization of generated samples also shows that the proposed model can generate plausible samples for semisupervised learning purpose.
Published: 2022

20. Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records

Author: Benjamin C. M. Fung, Kejing Yin, Jonathan Poon, and William W. L. Cheung
Subjects: FOS: Computer and information sciences, Computer Science - Machine Learning, Modality (human–computer interaction), Computer science, business.industry, media_common.quotation_subject, Health records, Machine learning, computer.software_genre, Quantitative Biology - Quantitative Methods, Machine Learning (cs.LG), Computer Science Applications, Modal, Computational Theory and Mathematics, FOS: Biological sciences, Quality (business), Artificial intelligence, Tensor, Medical diagnosis, business, computer, Quantitative Methods (q-bio.QM), Information Systems, media_common
Abstract: Non-negative tensor factorization has been shown a practical solution to automatically discover phenotypes from the electronic health records (EHR) with minimal human supervision. Such methods generally require an input tensor describing the inter-modal interactions to be pre-established; however, the correspondence between different modalities (e.g., correspondence between medications and diagnoses) can often be missing in practice. Although heuristic methods can be applied to estimate them, they inevitably introduce errors, and leads to sub-optimal phenotype quality. This is particularly important for patients with complex health conditions (e.g., in critical care) as multiple diagnoses and medications are simultaneously present in the records. To alleviate this problem and discover phenotypes from EHR with unobserved inter-modal correspondence, we propose the collective hidden interaction tensor factorization (cHITF) to infer the correspondence between multiple modalities jointly with the phenotype discovery. We assume that the observed matrix for each modality is marginalization of the unobserved inter-modal correspondence, which are reconstructed by maximizing the likelihood of the observed matrices. Extensive experiments conducted on the real-world MIMIC-III dataset demonstrate that cHITF effectively infers clinically meaningful inter-modal correspondence, discovers phenotypes that are more clinically relevant and diverse, and achieves better predictive performance compared with a number of state-of-the-art computational phenotyping models., Comment: Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE)
Published: 2022

21. Empagliflozin in the treatment of heart failure with reduced ejection fraction in addition to background therapies and therapeutic combinations (EMPEROR-Reduced): a post-hoc analysis of a randomised, double-blind trial

Author: Subodh Verma, Nitish K Dhingra, Javed Butler, Stefan D Anker, Joao Pedro Ferreira, Gerasimos Filippatos, James L Januzzi, Carolyn S P Lam, Naveed Sattar, Barbara Peil, Matias Nordaby, Martina Brueckmann, Stuart J Pocock, Faiez Zannad, Milton Packer, M Packer, S Anker, J Butler, G Filippatos, S Pocock, F Zannad, JP Ferreira, M Brueckmann, J George, W Jamal, FK Welty, M Palmer, T Clayton, KG Parhofer, TR Pedersen, B Greenberg, MA Konstam, KR Lees, P Carson, W Doehner, A Miller, M Haas, S Pehrson, M Komajda, I Anand, J Teerlink, A Rabinstein, T Steiner, H Kamel, G Tsivgoulis, J Lewis, J Freston, N Kaplowitz, J Mann, J Petrie, S Perrone, S Nicholls, S Janssens, E Bocchi, N Giannetti, S Verma, J Zhang, J Spinar, M-F Seronde, M Boehm, B Merkely, V Chopra, M Senni, S Taddi, H Tsutsui, D-J Choi, E Chuquiure, HPB La Rocca, P Ponikowski, JRG Juanatey, I Squire, J Januzzi, I Pina, R Bernstein, A Cheung, J Green, S Kaul, C Lam, G Lip, N Marx, P McCullough, C Mehta, J Rosenstock, N Sattar, B Scirica, S Shah, C Wanner, D Aizenberg, L Cartasegna, F Colombo Berra, H Colombo, M Fernandez Moutin, J Glenny, C Alvarez Lorio, D Anauch, R Campos, A Facta, A Fernandez, R Ahuad Guerrero, L Lobo Márquez, RA Leon de la Fuente, M Mansilla, M Hominal, E Hasbani, M Najenson, G Moises Azize, H Luquez, L Guzman, H Sessa, M Amuchástegui, O Salomone, E Perna, D Piskorz, M Sicer, D Perez de Arenaza, C Zaidman, S Nani, C Poy, J Resk, R Villarreal, C Majul, T Smith Casabella, S Sassone, A Liberman, G Carnero, A Caccavo, M Berli, N Budassi, J Bono, A Alvarisqueta, J Amerena, K Kostner, A Hamilton, A Begg, J Beltrame, D Colquhoun, G Gordon, A Sverdlov, G Vaddadi, J Wong, J Coller, D Prior, A Friart, A Leone, G Vervoort, P Timmermans, P Troisfontaines, C Franssen, T Sarens, H Vandekerckhove, P Van De Borne, F Chenot, J De Sutter, E De Vuyst, P Debonnaire, M Dupont, O Pereira Dutra, LH Canani, MdC Vieira Moreira, W de Souza, LM Backes, L Maia, B De Souza Paolino, ER Manenti, W Saporito, F Villaça Guimarães Filho, T Franco Hirakawa, LA Saliba, FC Neuenschwander, CA de Freitas Zerbini, G Gonçalves, Y Gonçalves Mello, J Ascenção de Souza, L Beck da Silva Neto, EA Bocchi, J Da Silveira, JB de Moura Xavier Moraes Junior, JD de Souza Neto, M Hernandes, HC Finimundi, CR Sampaio, E Vasconcellos, FJ Neves Mancuso, MM Noya Rabelo, M Rodrigues Bacci, F Santos, M Vidotti, MV Simões, FL Gomes, C Vieira Nascimento, D Precoma, FA Helfenstein Fonseca, JA Ribas Fortes, PE Leães, D Campos de Albuquerque, JF Kerr Saraiva, S Rassi, FA Alves da Costa, G Reis, S Zieroth, D Dion, D Savard, R Bourgeois, C Constance, K Anderson, M-H Leblanc, D Yung, E Swiggum, L Pliamm, Y Pesant, B Tyrrell, T Huynh, J Spiegelman, J-P Lavoie, M Hartleib, R Bhargava, L Straatman, S Virani, A Costa-Vitali, L Hill, M Heffernan, Y Khaykin, J Ricci, M Senaratne, A Zhai, B Lubelsky, M Toma, L Yao, R McKelvie, L Noronha, M Babapulle, A Pandey, G Curnew, A Lavoie, J Berlingieri, S Kouz, E Lonn, R Chehayeb, Y Zheng, Y Sun, H Cui, Z Fan, X Han, X Jiang, Q Tang, J Zhou, Z Zheng, X Zhang, N Zhang, Y Zhang, A Shen, J Yu, J Ye, Y Yao, J Yan, X Xu, Z Wang, J Ma, Y Li, S Li, S Lu, X Kong, Y Song, G Yang, Z Yao, Y Pan, X Guo, Z Sun, Y Dong, J Zhu, D Peng, Z Yuan, J Lin, Y Yin, O Jerabek, H Burianova, T Fiala, J Hubac, O Ludka, Z Monhart, P Vodnansky, K Zeman, D Foldyna, J Krupicka, I Podpera, L Busak, M Radvan, Z Vomacka, R Prosecky, R Cifkova, V Durdil, J Vesely, J Vaclavik, P Cervinka, A Linhart, T Brabec, R Miklik, H Bourhaial, H-G Olbrich, S Genth-Zotz, E Kemala, B Lemke, M Böhm, S Schellong, W Rieker, T Heitzer, H Ince, M Faghih, A Birkenfeld, A Begemann, A Ghanem, A Ujeyl, S von Haehling, T Dorsel, J Bauersachs, M Prull, F Weidemann, H Darius, G Nickenig, A Wilke, J Sauter, U Rauch-Kroehnert, N Frey, CP Schulze, W König, L Maier, F Menzel, N Proskynitopoulos, H-H Ebert, H-E Sarnighausen, H-D Düngen, M Licka, C Stellbrink, B Winkelmann, N Menck, JL López-Sendón, L de la Fuente Galán, JF Delgado Jiménez, N Manito Lorite, M Pérez de Juan Romero, E Galve Basilio, F Cereto Castro, JR González Juanatey, JJ Gómez, M Sanmartín Fernández, X Garcia-Moll Marimon, D Pascual Figal, R Bover Freire, E Bonnefoy Cudraz, A Jobbe Duval, D Tomasevic, G Habib, R Isnard, F Picard, P Khanoyan, J-L Dubois-Rande, M Galinier, F Roubille, J Alexandre, D Babuty, N Delarche, J-B Berneau, N Girerd, M Saxena, G Rosano, Z Yousef, C Clifford, C Arden, A Bakhai, C Boos, G Jenkins, C Travill, D Price, L Koenyves, F Lakatos, A Matoltsy, E Noori, Z Zilahi, P Andrassy, S Kancz, G Simon, T Sydo, A Vorobcsuk, RG Kiss, K Toth, I Szakal, L Nagy, T Barany, A Nagy, E Szolnoki, VK Chopra, S Mandal, V Rastogi, B Shah, A Mullasari, J Shankar, V Mehta, A Oomman, U Kaul, S Komarlu, D Kahali, A Bhagwat, V Vijan, NK Ghaisas, A Mehta, J Kashyap, Y Kothari, S TaddeI, M Scherillo, V Zacà, S Genovese, A Salvioni, A Fucili, F Fedele, F Cosmi, M Volpe, C Mazzone, G Esposito, M Doi, H Yamamoto, S Sakagami, S Oishi, Y Yasaka, H Tsuboi, Y Fujino, S Matsuoka, Y Watanabe, T Himi, T Ide, M Ichikawa, Y Kijima, T Koga, S Yuda, K Fukui, T Kubota, M Manita, H Fujinaga, T Matsumura, Y Fukumoto, R Kato, Y Kawai, G Hiasa, Y Kazatani, M Mori, A Ogimoto, M Inoko, M Oguri, M Kinoshita, K Okuhara, N Watanabe, Y Ono, K Otomo, Y Sato, T Matsunaga, A Takaishi, N Miyagi, H Uehara, H Takaishi, H Urata, T Kataoka, H Matsubara, T Matsumoto, T Suzuki, N Takahashi, M Imamaki, T Yoshitama, T Saito, H Sekino, Y Furutani, M Koda, T Shinozaki, K Hirabayashi, R Tsunoda, K Yonezawa, H Hori, M Yagi, M Arikawa, T Hashizume, R Ishiki, T Koizumi, K Nakayama, S Taguchi, M Nanasato, Y Yoshida, S Tsujiyama, T Nakamura, K Oku, M Shimizu, M Suwa, Y Momiyama, H Sugiyama, K Kobayashi, S Inoue, T Kadokami, K Maeno, K Kawamitsu, Y Maruyama, A Nakata, T Shibata, A Wada, H-J Cho, JO Na, B-S Yoo, J-O Choi, SK Hong, J-H Shin, M-C Cho, SH Han, J-O Jeong, J-J Kim, SM Kang, D-S Kim, MH Kim, G Llamas Esperon, J Illescas Díaz, P Fajardo Campos, J Almeida Alvarado, A Bazzoni Ruiz, J Echeverri Rico, I Lopez Alcocer, L Valle Molina, C Hernandez Herrera, C Calvo Vargas, FG Padilla Padilla, I Rodriguez Briones, EJJR Chuquiure Valenzuela, ME Aguilera Real, J Carrillo Calvillo, M Alpizar Salazar, JL Cervantes Escárcega, R Velasco Sanchez, N Al - Windy, L van Heerebeek, L Bellersen, H-P Brunner-La Rocca, J Post, GCM Linssen, M van de Wetering, R Peters, R van Stralen, R Groutars, P Smits, A Yilmaz, WEM Kok, P Van der Meer, P Dijkmans, R Troquay, AP van Alem, R Van de Wal, L Handoko, ICD Westendorp, PFMM van Bergen, BJWM Rensing, P Hoogslag, B Kietselaer, JA Kragten, FR den Hartog, A Alings, L Danilowicz-Szymanowicz, G Raczak, W Piesiewicz, W Zmuda, W Kus, P Podolec, W Musial, G Drelich, G Kania, P Miekus, S Mazur, A Janik, J Spyra, J Peruga, P Balsam, B Krakowiak, J Szachniewicz, M Ginel, J Grzybowski, W Chrustowski, P Wojewoda, A Kalinka, A Zurakowski, R Koc, M Debinski, W Fil, M Kujawiak, J Forys, M Kasprzak, M Krol, P Michalski, E Mirek-Bryniarska, K Radwan, G Skonieczny, K Stania, G Skoczylas, A Madej, J Jurowiecki, B Firek, B Wozakowska-Kaplon, K Cymerman, J Neutel, K Adams, P Balfour, A Deswal, A Djamson, P Duncan, M Hong, C Murray, D Rinde-Hoffman, S Woodhouse, R MacNevin, B Rama, C Broome-Webster, S Kindsvater, D Abramov, M Barettella, S Pinney, J Herre, A Cohen, K Vora, K Challappa, S West, S Baum, J Cox, S Jani, A Karim, A Akhtar, O Quintana, L Paukman, R Goldberg, Z Bhatti, M Budoff, E Bush, A Potler, R Delgado, B Ellis, J Dy, J Fialkow, R Sangrigoli, K Ferdinand, C East, S Falkowski, S Donahoe, R Ebrahimi, G Kline, B Harris, R Khouzam, N Jaffrani, N Jarmukli, N Kazemi, M Koren, K Friedman, W Herzog, J Silva Enciso, D Cheung, M Grover-McKay, P Hauptman, D Mikhalkova, V Hegde, J Hodsden, S Khouri, F McGrew, R Littlefield, P Bradley, B McLaurin, S Lupovitch, I Labin, V Rao, M Leithe, M Lesko, N Lewis, D Lombardo, S Mahal, V Malhotra, I Dauber, A Banerjee, J Needell, G Miller, L Paladino, K Munuswamy, M Nanna, E McMillan, M 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Potu, R, Sai-Sudhakar, C, Saltzberg, M, Sauer, A, Shah, P, Skopicki, H, Bui, H, Carr, K, Stevens, G, Tahirkheli, N, Tallaj, J, Yousuf, K, Trichon, B, Welker, J, Tolerico, P, Vest, A, Vivo, R, Wang, X, Abadier, R, Dunlap, S, Weintraub, N, Malik, A, Kotha, P, Zaha, V, Kim, G, Uriel, N, Greene, T, Salacata, A, Arora, R, Gazmuri, R, Kobayashi, J, Iteld, B, Vijayakrishnan, R, Dab, R, Mirza, Z, Marques, V, Nallasivan, M, Bensimhon, D, Peart, B, Saint-Jacques, H, Barringhaus, K, Contreras, J, Gupta, A, Koneru, S, Nguyen, V, Physiologie & médecine expérimentale du Cœur et des Muscles [U 1046] (PhyMedExp), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)
Subjects: Male, medicine.medical_specialty, Angiotensin receptor, Glucoside, Endocrinology, Diabetes and Metabolism, [SDV]Life Sciences [q-bio], Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], Adrenergic beta-Antagonists, Angiotensin-Converting Enzyme Inhibitors, 030204 cardiovascular system & hematology, Placebo, 03 medical and health sciences, Angiotensin Receptor Antagonists, 0302 clinical medicine, Endocrinology, Mineralocorticoid receptor, Glucosides, Double-Blind Method, Internal medicine, Post-hoc analysis, Internal Medicine, medicine, Empagliflozin, Humans, 030212 general & internal medicine, Benzhydryl Compounds, ComputingMilieux_MISCELLANEOUS, Aged, Benzhydryl Compound, Heart Failure, Ejection fraction, business.industry, Angiotensin Receptor Antagonist, Adrenergic beta-Antagonist, Angiotensin-Converting Enzyme Inhibitor, Stroke Volume, medicine.disease, 3. Good health, Heart failure, ACE inhibitor, Female, Hypotension, business, medicine.drug, Human
Abstract: Contains fulltext : 249977.pdf (Publisher’s version ) (Closed access) BACKGROUND: It is important to evaluate whether a new treatment for heart failure with reduced ejection fraction (HFrEF) provides additive benefit to background foundational treatments. As such, we aimed to evaluate the efficacy and safety of empagliflozin in patients with HFrEF in addition to baseline treatment with specific doses and combinations of disease-modifying therapies. METHODS: We performed a post-hoc analysis of the EMPEROR-Reduced randomised, double-blind, parallel-group trial, which took place in 520 centres (hospitals and medical clinics) in 20 countries in Asia, Australia, Europe, North America, and South America. Patients with New York Heart Association (NYHA) classification II-IV with an ejection fraction of 40% or less were randomly assigned (1:1) to receive the addition of either oral empagliflozin 10 mg per day or placebo to background therapy. The primary composite outcome was cardiovascular death and heart failure hospitalisation; the secondary outcome was total heart failure hospital admissions. An extended composite outcome consisted of inpatient and outpatient HFrEF events was also evaluated. Outcomes were analysed according to background use of angiotensin-converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs) or angiotensin receptor neprilysin inhibitors (ARNIs), as well as β blockers and mineralocorticoid receptor antagonists (MRAs) at less than 50% or 50% or more of target doses and in various combinations. This study is registered with ClinicalTrials.gov, NCT03057977. FINDINGS: In this post-hoc analysis of 3730 patients (mean age 66·8 years [SD 11·0], 893 [23·9%] women; 1863 [49·9%] in the empagliflozin group, 1867 [50·1%] in the placebo group) assessed between March 6, 2017, and May 28, 2020, empagliflozin reduced the risk of the primary outcome (361 in 1863 participants in the empagliflozin group and 462 of 1867 in the placebo group; HR 0·75 [95% CI 0·65-0·86]) regardless of background therapy or its target doses for ACE inhibitors or ARBs at doses of less than 50% of the target dose (HR 0·85 [0·69-1·06]) and for doses of 50% or more of the target dose (HR 0·67 [0·52-0·88]; p(interaction)=0·18). A similar result was seen for β blockers at doses of less than 50% of the target dose (HR 0·66 [0·54-0·80]) and for doses of 50% or more of the target dose (HR 0·81 [0·66-1·00]; p(interaction)=0·15). Empagliflozin also reduced the risk of the primary outcome irrespective of background use of triple therapy with an ACE inhibitor, ARB, or ARNI plus β blocker plus MRA (given combination HR 0·73 [0·61-0·88]; not given combination HR 0·76 [0·62-0·94]; p(interaction)=0·77). Similar patterns of benefit were observed for the secondary and extended composite outcomes. Empagliflozin was well tolerated and rates of hypotension, symptomatic hypotension, and hyperkalaemia were similar across all subgroups. INTERPRETATION: Empagliflozin reduced serious heart failure outcomes across doses and combinations of disease-modifying therapies for HFrEF. Clinically, these data suggest that empagliflozin might be considered as a foundational therapy in patients with HFrEF regardless of their existing background therapy. FUNDING: Boehringer Ingelheim and Eli Lilly and Company.
Published: 2022

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

Author: Nepogodiev, Dmitri, Simoes, Joana FF, Elizabeth, Li, Picciochi, Maria, Glasbey, James C, Baiocchi, Glauco, Blanco‐colino, Ruth, Chaudhry, Daoud, Alameer, Ehab, El‐boghdadly, Kariem, Wuraola, Funmilola, Ghosh, Dhruva, Gujjuri, Rohan R, Harrison, Ewen M, Lule, Herman, Kaafarani, Haytham, Khosravi, Mohammad, Kronberger, Irmgard, Leventoğlu, Sezai, Mann, Harvinder, Mclean, Kenneth A, Mengesha, Mengistu Gebreyohanes, Modolo, Maria Marta, Ntirenganya, Faustin, Norman, Lisa, Outani, Oumaima, Pius, Riinu, Pockney, Peter, Qureshi, Ahmad Uzair, Roslani, April Camilla, Satoi, Sohei, Shaw, Catherine, Bhangu, Aneel, Omar, Omar M, Ahmed, Waheed‐ul‐rahman, Argus, Leah, Ball, Alasdair, Bywater, Edward P, Brar, Amanpreet, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Jones, Conor S, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Marson, Ella J, Ots, Riinu, Santos, Irène, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, William, Xu, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Cox, Daniel, Townend, Philip, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Hossain, Kamral, Padmore, Greg, Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Gomes, Gustavo Mendonça Ataíde, Buarque, Igor Lima, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Martin, Janet, Ng‐kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong‐lin, Calvache, Jose Andres, Perez Rivera, Carlos J, Hadzibegovic, Ana Danic, Kopjar, Tomislav, Mihanovic, Jakov, Jiménez, Pablo Mijahil Avilés, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El‐hussuna, Alaa, Batista, Sylvia, Lincango‐naranjo, Eddy, Emile, Sameh, Sandoval, Danilo Alfonso Arévalo, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Acquah, Daniel Kwesi, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera‐arevalo, Maria‐lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Kembuan, Gabriele, Milan, Peiman Brouki, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin‐young, Jang, Jamal, Mohammad, Karout, Lina, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Sánchez, Iran Irani Durán, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Medina, Antonio Ramos‐De, Nunez, Jade, Nashidengo, Pueya Rashid, Shah, Rakesh, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Wright, Deborah, Abdur‐rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi‐olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Sayyed, Raza, Mohsen, Mustafa Abo, Abukhalaf, Sadi A., Cukier, Moises, Gomez‐fernandez, Hugo, Yip, Sebastian Shu, Ojeda, Ximena Paola Vasquez, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard‐alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Ingabire, Jc Allen, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Dieu, Haragirimana Jean, Munyaneza, Emmanuel, Ncogoza, Isaie, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Bravo, Ana Maria Minaya, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam, Mohammed Elmujtba Adam Essa, Rutegård, Martin, Sund, Malin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Huang, Abel, Lohsiriwat, Varut, Charles, Shane, Jlassi, Haithem, Isik, Arda, Lekuya, Hervé Monka, Kopetskyi, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead‐kendall, Brittany, Breen, Kerry, Mashbari, Hassan, Cal, Fernando Bonilla, Al‐naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Akhbari, Melika, Benson, Ruth, Bhanderi, Shivam, Biccard, Bruce, Caruana, Edward, Chakrabortee, Sohini, Chapatwala, Reema, Costas‐chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, James, Harelimana Grace, Griffiths, Ewen, Gronchi, Alessandro, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk‐iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, Mckay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vaughan‐shaw, Peter, Vidya, Raghavan, Wright, Naomi, Zimmelman, Natalie, Agastra, Ervis, Thereska, Dariel, Lucchini, Sergio Martin, Laudani, Veronica, Chwat, Carina, Salazar, Ivana Ines Pedraza, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Arancibia, José Alfredo Calderón, D’Aulerio, Giuliana, Dudi‐venkata, Nagendra, Egoroff, Natasha, Farik, Shebani, Lott, Natalie, Moss, Jana‐lee, Rennie, Sarah, Tan, Lorwai, Uyen Giao, Vo, Watson, David, Watters, David, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Mitul, Ashrarur Rahman, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Smèvo Romaric, Barros, Aldo Vieira, Júnior, Samuel Aguiar, Amaral Campos, Heloisa Galvão, Gross, Jefferson, Coimbra, Felipe José Fernandez, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Neto, Joao Pedreira Duprat, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St‐germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, Mackenzie, Shawn, Flexman, Alana, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Saenz, Dinimo Bolivar, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Alonso, Nestor Fabian Pedraza, Silva, Camilo Ortiz, Rodriguez, Juliana, Silva‐igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Calvache, Albaro José Nieto, Balanta‐melo, Julián, Figueroa‐casanova, Rafael, García‐montoya, Oscar‐julián, Toro, Carlos Andres Marulanda, Botero, Marcela Velez, Arango, Maria Clara Mendoza, Martinez, Eneida Diaz, Perdomo, Valentina Gutiérrez, Montenegro, Emileth, Rodriguez‐abreu, Julia, Mejía, Dolores, Abouelnagah, Galal, Shehata, Sameh, Rida, Ahmed Hossam Eldin Fouad, Hassan, Ramy A., Saad, Mahmoud M., Loaloa, Mohamed Reda, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Abebe, Metasebia, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Assefa, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Le Bian, Alban Zarzavadjian, Harper, Luke, Déserts, Marc Danguy, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Nkembi, Armande Subayi, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre‐alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin‐givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne‐cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler‐seyfried, Marie‐claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Ruiz, Alitza Gutiérrez, Rodas, Alejandra, Portilla, Ana Lucía, Carrera, Jacqueline, Duarte, Amalia Barrios, Lowey, Megan, Barillas, Sabrina, Suroy, Atul, Vaishnav, Dhaivat, Chowdappa, Raghunandan Gorantlu, Madabhavi, Irappa, Bhat, Dhananjaya, Venkatappa, Sunil Kumar, Thakar, Sumit, Jain, Kavitha, Kumar, Aruna, Nagar, Manoj, Mishra, Tushar, Sekar, Arunkumar, Gupta, Anand, Kaman, Lileswar, Karthigeyan, Madhivanan, Tripathi, Manjul, Rammohan, Ashwin, Vayoth, Sudheer Othiyil, Rajanbabu, Anupama, Subbian, Anbukkani, Gupta, Rahul, Raut, Monish, Evelyn, Nissi, Kannaiyan, R Lavanya, Matai, Anil, Misra, Sanjeev, Bhende, Vishal, Muthu, Sathish, Ghosh, Indranil, Sharma, Abhishek, Bajaj, Ankur, Rajan, Shiv, Agarwal, Gaurav, Pawar, Pranay, Alexander, Philip, Vijayakumar, M Vijayakumar, Hameed, Zeeshan, Badareesh, L, Chaudhry, Navneet Kumar, Baliarsing, Lipika, Dharap, Satish, Kulkarni, Amruta, Thyavihally, Yuvaraja, Sharma, Rahul Deo, Pramesh, C S, Soni, Rajesh, Dube, Surya Kumar, Sharma, Shilpa, Singh, Harvinder, Bains, Lovenish, Ghodke, Rahul, Kumar, Ashwani, Sodhai, Vivek, Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, Ranganath, N, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Maleki, Esmaeil Rezghi, Kandevani, Naser Yousefzadeh, Ikele, Hilary, Mcnestry, Catherine, Fleming, Christina, O’Brien, Stephen, Elwahab, Sami Abd, Davis, Niall, Javadpour, Mohsen, Mcdonnell, Brendan, Connor, Clare O, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, Cullinane, Carolyn, Creavin, Ben, Muheilan, Muheilan, Earley, Helen, Kabir, Syed Mohammad Umar, Fahadullah, Muhammad, Ryan, Éanna, Connelly, Tara, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., Qasem, Abdulrahman, Alawneh, Yazan, Ahmad, Amer, Aladawi, Omar, Alrayes, Bourhan, Haidar, Hanan, Husain, Shatha, Qassem, Faisal, Sumadi, Adnan, Salhiyeh, Ala’a Abu, Al‐manaseer, Balqees Mahmoud, Alsunna, Zaid, Ra’Ed, Hazim, Hamad, Faten Reyad Bani, Abuleil, Amro, Jimaale, Elmi Ahmed Mohamed, Abu‐mehsen, Marah, Olaywah, Noor, Wafi, Omar, Ababneh, Hazim, Abu‐ismail, Luai, Khamees, Almu’Atasim, Alkhatib, Ahmad, Bolatbekova, Raikhan, Kulimbet, Mukhtar, Nurgozhin, Talgat, Saliev, Timur, Zhussupov, Baurzhan, Almabayev, Ydyrys, Kaidarova, Dilyara, Tamoos, Khalil, Aqeelah, Ahmed, Mohammed, Alsnosy Abdullah Khalefa, Al Maadany, Faraj, Alkadeeki, Ghadah, Gahwagi, Milad, Aldressi, Wafa, Amnaina, Mohamed, Alansari, Arowa Hassan Abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Amer, Anass Ben, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Islam Ben Jouira, Rayet, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, Kieser, David, Mohyieldin, Omar, Mcintosh, Nick, Haran, Cheyaanthan, King, Jasmin, Jeong, Ha, Mcguinness, Matthew James, Adesanya, Opeoluwa, Olaogun, Julius, Akinmade, Akinola, Bwala, Kefas, Agbonrofo, Peter, Afolabi, Akinwale, Usang, Usang, Ekenze, Sebastian, Olori, Samson, Lawal, Taiwo Akeem, Okunlola, Abiodun, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty‐john, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami Ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Malik, Muhammad Usman, Yaqoob, Hassan Nawaz, Pacheco, Glenda Marina Falcon, Melendez, Robinson Mas, Urbina, Arazzelly Del Pilar Paucar, Chiuyari, Jose Rios, Alvarado, Carlos Eduardo Otiniano, Lau, Lorena Fuentes Rivera, Borda‐luque, Giuliano, Niquen‐jimenez, Milagros, Arias, Claudia, Zegarra, Sergio, Pallardel, Jenner Betalleluz, Oscco, Regina Amparo Ugarte, Mendiola, Gian, Colmenares, Yahaira Tatiana Carpio, Zapata, Carlos Shiraishi, Ortiz, Maria Rosa, Borges, Filipe Castro, Viveiros, Octavio, Serralheiro, Pedro, Santos‐costa, Paulo, Mendes, Filipa, Melo, Miguel Rocha, Cardoso, Paulo, Soares, Ana, Pereira, Rita Gonçalves, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida‐reis, Rui, Oliveira, João, Nogueiro, Jorge, Sampaio‐alves, Mafalda, Costa, Luciana Cidade, Baía, Catarina, Deus, Ana Cláudia, Branquinho, Rita, Marçal, André, Tojal, André, Makkai‐popa, Silviu Tiberiu, Mironescu, Aurel, Grama, Florin, Toma, Elena Adelina, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Dimofte, Mihail‐gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Pykhteev, Vadim, Raevskaya, Marianna, Butyrskii, Aleksandr, Alshahrani, Mushabab, Althumairi, Azah, Alzerwi, Nasser, Al Ameer, Ahmed, Madkhali, Tariq, Almulhim, Abddulrahman Saleh, Ghazwani, Salman, Ayoub, Abdu, Iskander, Othman, Ghunaim, Mohammed, Alharthi, Mohammed, Alzaidi, Turki M, Alyami, Mohammad, Al Amri, Abdulrahman, Alfakhri, Abdullah, Alhefdhi, Amal, Chowdhury, Sharfuddin, Nouh, Thamer, Alshehri, Ameen, Alzahrani, Abdulrahman, Alalawi, Yousef, Awad, Selmy, Konate, Ibrahima, Tendeng, Jacques, Teo, Nan Zun, Aqil, Sabra, López, Cristina Barrena, Mozo, Ana Sánchez, Infante, Antonio Rodriguez, Vivancos, Patricia Caja, Prieto, Mikel, Roman, Igor Alberdi San, Fernandez, Laura Gomez, Vives, Josep Maria Muñoz, Carreras‐castañer, Anna, Díaz‐feijoo, Berta, Sieira‐gil, Ramon, Turrado‐rodriguez, Victor, López, Anna Sánchez, Sánchez‐cabús, Santiago, Toscano, Marta Jimenez, Sin, MªPilar Canals, Laura, Saura García, Sole, Oriol Martin, Bellver, Pedro Palazon, Pérez‐bertólez, Sonia, Prat‐ortells, Jordi, Martínez, Mireia Riba, Rubio‐palau, Josep, Tarrado, Xavier, Nuñez, Jorge, Mendoza, Veronica Alonso, Bescós, Coro, Espin‐basany, Eloy, Espinosa‐bravo, Martin, Gil‐sala, Daniel, González‐suárez, Susana, Estruch, Nuria Montferrer, Mariño, Lucia Porteiro, Rodríguez‐tesouro, Ana, Portilla, Fabian Rojas, Pérez, M Pilar Tormos, Vives, Inmaculada, De Cortazar, Unai Garcia, Tudela, Kiara, Landaluce‐olavarria, Aitor, Gómez, Mercedes Estaire, Almoguera, Jorge, Ugarte‐sierra, Bakarne, Jimenez, Virginia, Bertrand, Marta, Puiggrós, Laura Cárdenas, Delisau‐puig, Olga, Garcia‐adamez, Jorge, Bergkvist, David Julià, Maldonado‐marcos, Eloy, García, Lucia Diego, Golet, Marta Roldón, Soto‐darias, Iván, Rahy‐martín, Aida Cristina, Enjuto, Diego, Ramos‐luengo, Adolfo, Fernandez, Juan Delgado, Duarte, Carolina Lugo, Thies, Cristina Ojeda, Marquez, Lucila, Vita, Diana Crego, Dziakova, Jana, Velasco, Jorge Caño, Mateo‐sierra, Olga, Quintana‐villamandos, Begoña, Valcarcel, Cristina Rey, Rio, Javier, León, Laura Román García, Di Martino, Marcello, Prada, Jorge, González, Javier Serrano, Losada, Manuel, Gomez, Jose Tomas Castell, Corripio‐sanchez, Ramon, Forero‐torres, Alexander, Morales‐puebla, José Manuel, Perez‐chrzanowska, Hanna, Gonzalez, Santiago Valderrabano, Yebes, Alvaro, Zapardiel, Ignacio, Alonso, Manuel Diez, Palacios, Nelson Morales, Sánchez, Alberto Cabañero, Fernández, Fátima Sánchez, Gurumeta, Alfredo Abad, Abad‐motos, Ane, Corella, Fernando, Ripollés‐melchor, Javier, Sanz‐gonzalez, Rosa, Fuentes, Marta Alcaraz, Martín, Maria Teresa Fernández, Espino, Pablo Calvo, Prats, Milagros Carrasco, Fernández‐lópez, Antonio‐josé, Escudero, Damián García, Soria, Vanesa Garcia, Alonso, Jesús Aarón Martínez, Ruiz‐marín, Miguel, Pérez, Beatriz Gómez, Moya‐angeler, Joaquin, Martínez, Daniel Fernández, Bayo, Heura Llaquet, Colás‐ruiz, Enrique, Romera, Susana Bella, Pellicé, M. Teresa Gavaldà, Solé, Misericòrdia Jordà, Velasquez, Enrique Jose Ruiz, Núñez, Bernardo, Jimenez, Raul, Zabaleta, Jon, González‐gimeno, Maria Jose, Vázquez, Irene Ortega, Ferrer, Antonio Perez, Martín‐láez, Rubén, Suarez, Marcelo Moreno, Eiras, Miguel Angel Freiria, Ramallo‐solís, Irene, Gomez‐rosado, Juan‐carlos, Guillen, Jose Ramon Oliver, Boira, Mar Achalandabaso, Bauset, Juan Carlos Catalá, Domenech, Julio, Badenes, Rafael, Bernal‐sprekelsen, Juan Carlos, Sancho‐muriel, Jorge, De Andrés‐Asenjo, Beatriz, Tejero‐pintor, Francisco J, Vallve‐bernal, Marc, Melero, Alba Vazquez, Blasco, Laura Sánchez, Escartin, Jorge, Mallén, Victoria Duque, Srishankar, Selvaratnam, Sooriyabandara, Charitha, Basnayake, Oshan, Gunawansa, Nalaka, Weeraddana, Prabuth Dulanjan, Vimalakanthan, Thanusan, Gishanthan, Shanthamoorthy, Chandrasinghe, Pramodh, Sauvain, Marc‐olivier, Ghazal, Ahmad, Al‐sabbagh, Yusra, Alhassoun, Turki, Albared, Sara Maa, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, Xaviour, Okedi Francis, Turinawe, Gaston, Mubezi, Isaac, Sikakulya, Franck K., Kakeeto, Andrew, Kabweru, Wilberforce M., Kiweewa, Ronald, Matovu, Paul, Isaac, Otolia, Mashhour, Mohamed, El Helw, Amin, Kherani, Safeena, Mohamed, Awadelkarim, Abbas, Ferial Mohamed Ali, Mohammed, Diary, Aldlyami, Ehab, Kundra, Rakesh, Michael, Antony Louis Rex, Khalil, Kareem S., Dbeis, Rachel, Shaikh, Shafaque, Ferry, Jenny, Jamal, Aiman, Siddique, Haleema, Das, Rishi, Ponugoti, Nikhil, Rattanasirivilai, Pornjittra, Sultana, Asma, Mosley, Frances, Chan, Matthew, Bateman, Antony, Davies‐jones, Gareth, Georgiades, Fanourios, Ahmadi, Navid, Coonar, Aman, Baig, Mariam, Khatri, Chetan, Surendran, Arthika, Sonksen, Julian, Sinnerton, Robert, Brennan, Caitlin, Faulkner, Gemma, Greenhalgh, Michael, Emerson, Hannah, Singisetti, Kiran, Totty, Joshua, Wilson, Michael, Terence, Lo, Corbett, Harriet, Okonkwo, Ijeoma, Arbane, Gill, Kerawala, Cyrus, Parmar, Chetan, Bath, Michael, Odejinmi, Funlayo, Sagar, Jayesh, Talwar, Rishi, Newman, Samuel, Hammond, John, Moir, John, Duric, Natalie, Szakmany, Tamas, Talib, Ahmar Iftikhar, Youssef, Mina, Lewis‐lloyd, Christopher, Lami, Mariam, Ayub, Khurram, Dean, Benjamin, Balasubramanya, Supriya, Lakpriya, Sathya, Rogers, Luke, Turner, Paul, Maher, Mark, Sigamoney, Kohila, El Kafsi, Jihène, Hardie, John, Johnson, David, Henein, Christin, Hollyman, Marianne, Agarwal, Ketan, Powell, Simon, Chauhan, Govind Singh, Patel, Rakesh, Gagnier, Joel, Carmichael, Heather, Aurora, Null, Olson, Kristofor A., Etchill, Eric, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Kaups‐fresno, Krista, Giorgakis, Emmanouil, Dinome, Maggie, Bhutiani, Neal, Alnachoukati, Omar, Aiken, Taylor, Diehl, Thomas, Gosain, Ankush, Rattan, Rishi, Ghani, Muhammad Owais Abdul, Ruzgar, Nensi Melissa, Liveris, Anna, Glass, Nina, Paranjape, Charu, Chin, Theresa, Meola, Antonio, Nicholson, Kristina, Squiers, John, Lueckel, Stephanie, Reisenauer, Janani, Callcut, Rachael, Mansour, Ahmed, Berndtson, Allison, Kornblith, Lucy, Seegert, Sara, Martins, Paulo, Al‐shehari, Mohammed, Al‐raimi, Ibrahim, Ngulube, Allan, Siamuchembu, Maphios, Mushiwokufa, Willard, Mlambo, Busisiwe, Chinyowa, Simbarashe, Bollano, Enton, Gjyli, Kostandin, Kerpaci, Jola, Vrapi, Enxhi, Zijaj, Lorena, Djahida, Bahraoui, Zohra, Belabbes Fatima, Khadidja, Kouidri, Bali, Oussama, Benallel, Nassim, Lalmi, Ismahene, Abdoun, Meriem, Aouabed, Nesrine, Bouaoud, Souad, Bouchenak, Kamel, Haif, Assia, Soualili, Zineddine, Bastet, Joaquin, Bianco, Agustín, Capitaine, Daniel, Lozada, Jorge Centeno, Esquivel, Carlos, Figueroa, Rodrigo, Garcia, Manuel, García, Pablo Martín, Gerchunoff, José Ignacio, Iascano, Fernando Martinez, Mondino, Jose, Muriel, María Emilia, Pablo, Carmignani, Passadore, Martin, Tornini, Alejandra, Traverso, Rogelio, Vargas, Lara, Zanoni, Gerardo, Berber, Norberto, Cotta, Estefanía, Di Vincenzo, Marcela, Gallino, Esteban Sebastian, Gigena, Cecilia, Grassano, Bianca, Lugones, Ignacio, Madrid, Constanza, Maricic, Maximiliano, Martinez, Antonio Alberto, Rosso, Andres, Scher, Pablo, Tachella, Sofia, Zezular, Damaris Idara Anabel, Abuawad, Carla, Forneris, Agustin Albani, Allemand, Carola, Calzaretta, Laura Gisela Alvarez, Boretto, Jorge G., Boudou, Rocio, Brandariz, Rodrigo, Buljubasich, Martin, Burchakchi, Arturo, Buttaro, Martin, Campana, Juan Pablo, Busnelli, Virginia Cano, Carminatti, Tomas, Lalín, Agustina Florencia Castro, Cereghini, Julian, Amor, María Sol Crespi, Croattini, Roberto Sebastián, Fernandez, Maria Sol, Figari, Marcelo, Fraidenraij, Uriel, Gallegos, Diego, García‐mansilla, Agustín Maria, Gonzalez, Marcos, Gonzalez, Matias Ignacio, Salazar, Esteban Gonzalez, Goransky, Jeremias, Gauna, Guillermo Hernandez, Higuera, Felipe, Holc, Fernando, Jauregui, Esteban Gabriel, Larrañaga, Juan, Liyo, Juan, Llano, Lionel, Lobos, Pablo, Luzzi, Emilia, Mastroianni, Gustavo, Mata‐suarez, Santiago Miguel, Mayer, Horacio F., Loughlin, Santiago Mc, Mendoza, Efrain, Mentz, Ricardo Esteban, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Oliva, Agustina Rene, Vidal, Rafael Perez, Poggi, Catalina, Premoli, Eduardo Jorge, Ramos, María Lourdes, Rosas, Patricio, Rossi, Luciano, Rossi, Gustavo, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Stang, María Verona, Taboada, María Victoria, Tirapegui, Sebastian, Uffelmann, Constanza, Vaccaro, Carlos, Vagni, Roberto, Valerio, Ana Clara, Zarratea, Celeste Soledad, Montal, Silvina, Morris, Brian, Valdez, Pedro, Diaz‐couselo, Fernando, Sabatini, Luciana, Alvarez, Fernando Andres, Avila, Micaela, Benitez, Nicole Benitez, Bruera, Nicolás, Doniquian, Marcelo, Gielis, Manuel, Liaño, Julian, Llahi, Florencia, Mandojana, Facundo, Páez, Walter, Parodi, Matias, Molina, Héctor Picon, Pinsak, Agustin, Viscido, German, Badra, Roberto, Belisle, Diego, Borla, Hernan, Eberle, Georgina, Esteban, Agustin, Ferrero, Carlos Ignacio, Furlan, Micaela, García, José Sebastian, Granero, Lucas, Henzenn, Mariel, Juaneda, Rodrigo, Vidal, Esteban Politi, Reyna, Guillermo Romero, Montero, José Gabriel Yaryura, Caubet, Maria Mercedes, D’Addino, José Luis, Daryanani, Deepu, Gosselink, Martijn, Ponson, Alex, Afzal, Mohamed, Amprayil, Mathew, Brooke‐smith, Mark, Chen, John, Grantham, James, Gricks, Benjamin, Hii, Amanda, Kundu, Nikhil, Liu, David, Livingston, Charles, Marshall‐webb, Matthew, Mcveay, Christina, Moore, Hamish, Nair, Gavin, Ong, Bee Shan, Parker, Dominic, Rudolph‐stringer, Victoria, Szpytma, Malgorzata, Vissapragada, Ravi, Wee, Melissa Yun, Wong, Geoffrey Yuet Mun, Barnett, Dylan Richard, Bochner, Melissa, Bolt, John, Buddingh, Karel, Coventry, Brendon, Davis, Sean, Dawson, Joseph, Denham, Stuart, Dobbins, Christopher, Fitridge, Robert, Gan, Siang Wei, Haque, Izhar‐ul, Herath, Matheesha, Jog, Shivangi, Kanhere, Harsh, Kuang, Beatrice, Lam, Yick Ho, Lambert, Virginia, Lim, Alicia, Maina, Grace, Moller, Cea‐cea, Neo, Eu Nice, Neo, Eu Ling, Nguyen, Alain, Prasad, Shalvin, Roy, Jennifer, Russell, Christine, Sammour, Tarik, Smith, Nicholas, Smith, Richard, Stranz, Conrad, Tourani, Saam, Tran, Steven, Van de Ven, Lucinda, Warren, Leigh, Whitfield, Robert, Wormald, Jamie, Yin, Yijie, Bierton, Christopher, Cribb, Benjamin, Foley, Katarina, Ong, Daniel, Watson, Matthew, Hampton, Jacob, Karam, James, Rugendyke, Anya, Zhang, Tyson, Vasey, Carolyn, Apellaniz, Eduardo, Frankel, Adam, Gahan, Lara, Guerra, Glen R, Liesegang, Amanda, Lutton, Nicholas, Maurice, Andrew, Miron, Scott, Prasad, Aveechal, Sercombe, Ashleigh, Sivapalan, Thanusan, Ahmad, Syed Danial Syed, Tee, Chin Li, Yaksich, Lachlan, Batstone, Martin, Breik, Omar, Young, Thomas, Field, Michael, Scott, Benjamin, Charlton, Gabriella, Chen, Si, Cheung, Henry Yan Chi, Gauri, Neha, Hayhurst, Ross, James, Sophie, Jang, Seyoung, Jia, Fangzhi, Zhang, Helen, Aujla, Randeep, Finsterwald, Michael, Percy, Digby, Tanaya, Alvin, Trivedi, Anand, Aylett, Andrew, Grills, Richard, Holmes, Angela, Kwok, Matthew Ming Kei, Lambers, Anton, Lambers, Leo, Lok, Evania, Nagra, Sonal, Page, Richard, Paltoglou, Nicholas, Panuganti, Vishwakar, Riddell, Sophie, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Amoils, Ricci, Bahtigur, Nazli, Bengeri, Savitha, Builth‐snoad, Lily, Cheah, Hock Ping, Chen, Paul, Chew, Kenneth, Chong, Alyssa, Clark, Sara, Kaul, Rhea Darbari, Devan, Eliya, Ewington, Christina, Fatima, Aleeza, Fitt, Sophia, Gaul, John, Ghosal, Paloma, Gojnich, Amy, Gunawardena, Indu, Hamer, Peter, Holmes, Samuel, Hou, Zhen, Jolly, Danielle, Kane, James Dimitri, Kaufman, Micayla, Khandelwal, Tanishq, Khanijaun, Sukhwant, Kwok, Kelvin, Latif, Edward, Laura, Sharon, Lee, Vivian, Leung, Catherine, Liang, Ina, Lin, Peter, Lun, Elizabeth Weng Yan, Luo, Haili, Victor, Ly, Jolande, Ma, Macnab, Brooke, Mcgee, Richard, Miles, Stephanie, Munro, William, Narroway, Harry, Ngan, Tin Yau, Noor, Anthony, Pahalawatta, Upuli, Park, Melissa, Parkin, Cameron, Poon, Rita, Somasundaram, Shanmugam S, Saab, Claudia, Simpson, Renwick, Steinel, Dana, Taylor, Emily, Tchen, Adrian, Thong, Shu, Tran, Kelvin, Tree, Kevin, Vance, Lucille, Wong, Ken, Victor, Yu, Zhang, Michael, Cox, Aram, Tan, David Chi Hau, Thani, Nova, Das, Shefali, Macdonald, Taigh, Salama, Paul, Sandhu, Gagandeep, Shadbolt, Rachel, Phan, Du, Townend, David, Eunmaro, Ju, Lee, Sang Mi, Barnett, Stephen, Kheslat, Hajar Hasan, Higgins, Andrew, Jamieson‐grigg, Chloe, Jenkins, Victoria, Larner, Brett, Perini, Marcos, Proud, David, Qin, Kirby, Riddiough, Georgina, Seevanayagam, Sivendran, Damien M., Wu, Zhao, Chris, Aggarwal, Sonali, Vinna, An, Battershell, Melanie, Chan, Elliot, Cheung, King Tung, Drake, Anna, Goonawardena, Janindu, Hunt, Benjamin, Christopher, Ip, Iyer, Vikram, Jain, Anshini, Kealey, Joshua, Lew, Chen, Lim, Christopher Seng Hong, Luck, Tara, Mackay, Sean, Maher, Natalie, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Steen, Christopher, Tsigaras, Zac, Tuttle, Zachary, Ward, Salena, Williams, Marli, Yeap, Evie, Zhou, Jessie, Coates, Amy, Mutalima, Nora, Tran, Ton, Nataraja, Ramesh, Sharpin, Claire, Bird, David, Choy, Kay Tai, Condron, Sarah, Daruwalla, Jurstine, Anjos, Isabela, El‐khoury, Hanna, Fabian, Robert, Gillard, Andrew, Greenop, Rebecca, Issa, Michael, Lee, Sharon, Mori, Krinal, Petrakis, Nikki, Qureshi, Maryum, Sabella, Danielle, Satasivam, Prassannah, Sathianathen, Niranjan, Seow, Sean Ezekiel, Shen, Amanda, Shi, Margaret, Tabassum, Meher, Teixeira, Rodrigo, Vivian‐taylor, Josephine, Wheatley, Jennifer, Shepherd, Sally, Soucisse, Mikael, King, Sebastian, O’Connor, Brendan, Teague, Warwick, Banting, Simon, Chong, Lynn, Clatworthy, Sharnel, Cochrane, Angela, Fox, Adrian, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Knowles, Brett, Newcomb, Andrew, Price, Veronique, Raman, Jaishankar, Read, Matthew, Rowcroft, Alistair, Taylor, Lillian, Wright, Gavin, Chana, Prem, Shaw, Kalai, Bock, Jacob, Cory, Jordan, Drummond, Katharine, Lahy, Jack, Mcintire, Thomas, Price, Benjamin, Stark, Claire, Besson, Alex, Gartrell, Richard, Lauritz, Brianne, Nguyen, Ha My Ngoc, Ong, Chui Foong, Pitcher, Meron, Scullion, Lorna, Tang, Howard, Taylor, Danielle, Wolf, Brigid, Wichmann, Matthias, Davis, Amelia, Maurel, Amelie, Raubenheimer, Kyle, Campbell, Cassidy, Colaco, Ashley, Machado, Maria Julia Corbetta, Heffernan, Abbie, Karihaloo, Costa, Ludbrook, Isabella, Park, Sean SW, Peerally, Bibi Nabeeha, Singhai, Camila, Stevens, Heidi, Vavilov, Sergey, Aubin, Anne‐marie, Harris, Margaret, Lim, Zhi Ying, Spring, Rebecca, Stieler, Melissa, Barnes, Nicholas Adamson, Alam, Ahmad Seraj, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Balogh, Zsolt J., Blatt, Alison, Cairns, Scott, Carroll, Jesse, Caterson, Andrew, Christie, Adam, Cope, Daron, Dale, Tyson, Dennis, Grace, Duggal, Anchal, Ennis, Brendan, Fenton, Mark, Yi Xin Joanna, Fu, Galevska‐dimitrovska, Ana, Gani, Jonathan, Gelzinnis, Scott, Gramlick, Madelyn, Hadlow, Claudia, Hardstaff, Ruth, Heer, Munish, Holmes, Merran, Hone, Bridget, Sophie, Hu, Huang, Linna, Iqbal, Ramiz, Jefferson, Niall, Kasthurirathne, Dimithi, Kuo, Stephen, Lau, Wayne Yan, Liang, Hsin‐ping, Lim, Daniel, Lin, Rosalina, Mcdonogh, Jack, Mcilwain, Elysse, Ming, Yan Joyce, O’Neill, Christine, Ocsan, Ryan James, Oosthuizen, Benjamin, Organ, Nicole, Otieno, James, Park, Felicity, Paterson, Amanda, Cerdeira, Marisol Perez, Peters, Luke, Petersson, Josefin, Rubbo, Sonia, Siribaddana, Venesa, Thurairajah, Kabilan, Ting, Caleb, Watson, Antonia, Way, Teagan, Wiadji, Elvina, Willoughby, Ellisha, Bailey, Ashley, Broadbent, Samuel, Narayanan, Viswanathan, Stephens, Samuel, Wilkes, Anna, Zhao, Jie, Ballal, Mohammed, D’Souza, Carl, Forbes, Clara, Goss, Matthew, Haddleton, Monique, Harty, Jacinda, Hayne, Dickon, Hew, Nicole, Koh, Wee Ling, Lee, Shawn, Malik, Shahbaz S, Abdul, Naseer Mohammed, Richards, Toby, Seow, Yi Th Ng, Wong, James, Archer, Leigh, Azaman, Nur Sabrina Binti Babe, Dilevska, Tina, Foo, Jonathan, Hans, Tasvinder, Jansen, Shirley, Kumar, Mohit, Leeson, Christopher, Pham, Terence, Pineda, Fernando Picazo, Rajakumar, Saravanan, Suk‐udom, Supisara, Tan, Jonathan, Thurston, Benjamin, Zhao, Bichen, Gupta, Shivangi, Hou, Lachlan, Jeyamanoharan, Nivedan, Leigh, James, Poh, Wei Shearn, Sala, Michael, Crothers, Rebecca, Dravid, Madhulika, Harrison, Ben, Islam, Sumayya, Mccartney, Conor, Nel, Henco, Pearson, Natasha, Apostolou, Christos, Berney, Christophe, Chou, Richard, Hanna, Sam, Lam, Andrew, Vanessa, Ma, Phanse, Salonee Shubhen, Elliott, Michael, Phung, Daniel, Barry, Jessica, Clark‐mackay, Eleanore, Cope, Jennifer, Halliwell, Richard, Chen, Ji, De Robles, Marie Shella, Llorando, Alyssa, Mahin, Humaira Haider, Rao, Dominic, Syed, Faisal, Abulafia, Daniel, Buckland, Benjamin, Cordingley, Timothy, Debiasio, Ashe, Drane, Andrew, Ireland, Patrick, Julien, Benji, Lan‐hoa, Le, Lee, Austin Yeon Suk, Loh, Eu Jhin, Middleton, Andrew, Mortimer, Brienna, Sebastian, Samuel, Short, Brooke, Stewart, Peter, Ruyven, Stephanie, Wong, Daniel, Zhang, Charry, Zhu, Bonnie, Ziaziaris, William, Leitner, Aran, Tolzman, Lukas, Zitt, Matthias, Rakos, Gergely, Székely, György, Djedovic, Gabriel, Königsrainer, Ingmar, Allmer, Caterina, Herritsch, Barbara, Mitteregger, Martin, Schauer, Christian, Seitinger, Gerald, Siebenhofer, Carmen, Uranitsch, Stefan, Duller, David, Mathew, Erwin, Skias, Christoph, Andrianakis, Alexandros, Belarmino, Armin, Brinskelle, Petra, Castellani, Christoph, Cohnert, Tina, Fediuk, Melanie, Fink, Andrea, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Leithner, Andreas, Lindenmann, Joerg, Lumenta, David, Michelitsch, Birgit, Mikalauskas, Saulius, Nischwitz, Sebastian P., Puchwein, Paul, Roj, Andrej, Schemmer, Peter, Singer, Georg, Smolle‐juettner, Freyja‐maria, Till, Holger, Wolf, Axel, Andraschofsky, Tibor Oliver, Angerer, Rafael, Arco, Daniel, Kaufmann, Claudia, Kilic, Nura, Widschwendter, Peter, Angermann, Reinhard, Bauer, Marlies, Bergmann, Nicole, Freyschlag, Christian, Gisinger, Martin, Gollmann‐tepeköylü, Can, Graber, Michael, Haim, Alexander, Harasser, Carina, Härter, Bettina, Hirsch, Jakob, Hofer, Markus, Holfeld, Johannes, Huber, Anna Lena, Kralinger, Martina, Krappinger, Dietmar, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Ninkovic, Marijana, Nowosielski, Yvonne, Osl, Antonia, Ower, Cornelia, Pölzl, Leo, Rauchegger, Teresa, Reimer, Daniel, Riecke, Johannes, Schwabegger, Anton H., Sokolovski, Filipp, Strimmer, Anna, Süss, Markus, Thaler, Martin, Umlauft, Julian, Zehetner, Claus, Zeimet, Alain G., Allerstorfer, Jakob, Haslhofer, David, Hofer, Daniel, Luger, Matthias, Pisecky, Lorenz, Poier, Nikolaus, Rubicz, Nina, Schmolmüller, Christoph, Zwittag, Paul, Rossmann, Tobias, Ruiz‐navarro, Francisco, Stefanits, Harald, Elsayed, Hend, Habertheuer, Peter, Hajkova, Tereza, Loidl, Wolfgang, Luger, Ferdinand, Windischbauer, Amadeus, Fischer, Ines, Függer, Reinhold, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Magele, Astrid, Mayr, Thomas, Noe, Chiara, Bittner, Reinhard, Borhanian, Kurosch, Dornauer, Isabella, Emmanuel, Klaus, Gabersek, Ana, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Hutter, Jörg, Jäger, Tarkan, Koch, Oliver, Lechner, Michael, Manzenreiter, Lisa, Mayer, Franz, Muehlbacher, Iris, Presl, Jaroslav, Rezaie, Daniel, Schredl, Philipp, Varga, Martin, Weitzendorfer, Michael, Wimmer, Angela, Brunner, Eberhard, Cillia, Michael, Gruber, Michaela, Grünbart, Martin, Heinrich, Elmar, Hoi, Hannes, Kemmetinger, Vanessa, Mittermair, Christof, Mosshammer, Victoria, Obrist, Christian, Paal, Peter, Roesch, Judith, Russe, Elisabeth, Schaetz, Tobias, Schirnhofer, Jan, Schwaiger, Karl, Wechselberger, Gottfried, Weiss, Helmut, Lanner, Maximilian, Binder, Alf‐dorian, Gürtler, Thomas, Fink, Marcus, Reichhold, Daniel, Stoyanova, Radoslava, Beitl, Klara, Bernardi, Martin H., Datler, Philip, Dawoud, Christopher, Farr, Alex, Foessleitner, Philipp, Grimm, Christoph, Harpain, Felix, Hoda, Mir Alireza, Holawe, Simone, Kranawetter, Marlene, Ott, Johannes, Perricos, Alexandra, Pesta, Maximilian, Pillerstorff, Robert, Reiterer, Christian, Riss, Stefan, Rosta, Klara, Scheriau, Georg, Tschernko, Edda, Wenzl, Rene, Wiedemann, Dominik, Wohlrab, Peter, Zapletal, Bernhard, Zimmermann, Matthias, Zimpfer, Daniel, Findl, Oliver, Fisus, Andreea, Ruiss, Manuel, Komaz, Melanie, Meindl, Nikolaus, Primavesi, Florian, Stadlbauer, Karl Heinz, Stättner, Stefan, Steiner, Florian, Cerny, Ondrej, Falkensammer, Eva, Knotzer, Hans, Köglberger, Paul, Poidinger, Bernhard, Wiesinger, Clemens Georg, Burtscher, Johannes, Rath, Sebastian, Trivik‐barrientos, Felipe, Aliyeva, Gunay, Behbudov, Vuqar, Muslumov, Gurbankhan, Zeynalov, Natiq, Alam, Mahmood, Alfayez, Fatema, Hasan, Batool, Mahdi, Maryam, Mulla, Husain, Qader, Kawthar, Saeed, Amr, Shirazi, Ahmed, Albastaki, Aysha, Birido, Nuha, Chagla, Hiba Hameed, Dawaishan, Abdulla, Dawaishan, Baheya, Farhan, Abeer, Juma, Isam, Khan, Asher, Patel, Aqsa Mohammad Eqbal, Srinivasan, Madhu, Deen, Fatema Waheed Akbar Mohamad Akbar Nawab, Abdulqadir, Seemal, Jabr, Abdulla, Maqsood, Fauzia, Almoosa, Noora, Naseer, Mai, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, Shahnoor, Islam, S. M. Nazmul, Karim, Sabbir, Faisel, Muntasir, Khan, Sadia, Mannan, Iftekhar Ibne, Nazia, Nawshin, Bentham, Malissa, Corbin, Sasha, Doyle, Alex, Eastmond, Asha, Haynes, Amelia, O’Shea, Margaret, Phillips, Emil, Walkes, Keisha, Artyushkov, Evgeniy L., Kaplan, Mark L., Straltsov, Vladislav, Litvina, Yauheniya, Lyzikov, Alexei, Tihmanovich, Victor E., Borges, Mafalda, Brits, Tim, De Hous, Nicolas, De Wachter, Stefan, Menovsky, Tomas, Mortiers, Xavier, Vermeulen, Dorien, Vleminckx, Nils, Ysebaert, Dirk, Bontinck, Julie, Bulthé, Danny, Rasschaert, Ricky, Van Haver, Anne‐sophie, Van Belle, Koen, Verstraeten, Laurence, Vounckx, Manon, D’Ulisse, Sébastien, De Bruyne, Yasmine, El Nakadi, Badih, Heloise, Tessely, Luisetto, Matteo, Marinakis, Sotirios, Maton, Maxime, Viste, Claire, Van Daele, Elke, Vandeputte, Mathieu, Duinslaeger, Marc, Jacobs‐tulleneers‐thevissen, Daniel, Jansen, Yanina, Janssens, Ward, Kunda, Rastislav, Messaoudi, Nouredin, Ruyssers, Michael, Van Eetvelde, Ellen, Vanhoeij, Marian, Van den Eynde, Jef, Van den Eynde, Raf, Chaoui, Ahmed M., Akpla, Marcellin, Lawani, Souliath, Agossou, Hermann, Behanzin, Hulrich Aouagbe, Bokossa, Covalic, Dewanon, Hubert, Yome, Hugues, Boukari, Alassan, Gbehade, Oswald, Tobome, Sèmèvo Romaric, Amossou, Labissi Francois, Dossou, Francis, Barišić, Tatjana, Boras, Miran, Brekalo, Zdrinko, Blagojević, Ivana Čuljak, Damjanović, Ana, Dragisic, Vedran, Šimić, Ana Dugandžić, Gunaric, Filip, Kajic, Martin, Knežević, Darko, Krešić, Tanja, Lasić, Valentina, Letica, Ludvig, Martinovic, Vlatka, Mikulic, Iva, Miskovic, Josip, Pehar, Hrvoje, Rastović, Pejana, Sesar, Irena, Šetka‐čuljak, Violeta, Soljic, Martina, Tiric, Dejan, Tomić, Vajdana, Vasilj, Anja, Hudic, Igor, Oliver, Renato Aguera, Lamonica, Felipe Azenha, De Medeiros, Jorge, Florindo, Henrique Donizetti Bianchi, Filho, Rodolfo Jose Favaretto, Pereira, Fernanda Costa, Rodrigues, Rodrigo, Junior, Antonio Antunes Rodrigues, Andrade, Fernanda Ruiz, Salvetti, Maisa, Campioto, Débora Schalge, Lamonica, Mayra Tuboi, Urbano, Gustavo, Prado, Ricardo Villela, Alonso, Nivaldo, Santos, Carlos Ferreira, Tonello, Cristiano, Pires, Robinson Esteves, Rezende, Ricardo Fernandes, Reis, Igor, Marson, Fernando Augusto Lima, Ferreira, Erick Pires, Palamim, Camila Vantini Capasso, Brandao, Marcelo, Souza, Tiago Henrique, Maunsell, Rebecca, Neto, Alfeu Accorsi, Accorsi, Guilherme, Fernandes, Murilo Francisco, Machareth, Camila, Moura, Barbara Viegas, Dias, Vanessa, Guarienti, Luciano, Sampaio, Lia Regina, Vendrame, Cristiano, Coelho, Tatiane Amorim, Becker, Karin, Dias, Andre, Fachin, Camila Girardi, Gomes‐da‐silva, Monica Maria, Moraes, Isabela, Pinto, Amanda, Stychnicki, Adriano Seikiti, Julio, Nathalia Siqueira, Santos, José Mauro, Junior, Humberto Fenner Lyra, Oliveira, João Carlos Costa, Onzi, Tiago Rafael, Gerber, Marlus Tavares, Coelho, Filipe Osni, Silva, Janaína Carla, Panis, Carolina, Rech, Daniel, Avelino, Melissa, Botacin, Lais, Gonçalves, Mateus Capuzzo, Santos Leite, Amanda Lira, Pol‐fachin, Laercio, Bezerra, Tainá Santos, Santos Junior Alcimar, Alcimar Lavareda, Amorim, Robson, Leão, Maria Eduarda Bellotti, Bergamasco, João José Corrêa, Pinheiro, Cintia Cardoso, Neto, Rubem Alves Da Silva, De Araújo, Elaine Francisca, Guimaraes, Lilian, Liborio‐kimura, Tatiana, Camara, Isabelle Melo, Siqueira, Victor Ripardo, Rodriguez, Juan, Silva, Jeancarllo, Junior, Rubem Alves Silva, Cardoso, Cláudio, Guimaraes, Andre, Alves, Wislene Sarajane Moreira, Menezes, Agna Soares Da Silva, Araujo, Marcelo, Brito, Kattiucy, Albuquerque, Josie Marcelle Lira, Dussan‐sarria, Jairo Alberto, Souza, Andressa, Stüker, Andre Ricardo, Bresciani, Tiago, Stefani, Luciana Cadore, Cavazzola, Leandro Totti, Costa, Tainá, Dasqueve, Matheus, Marangon, Gustavo De Bacco, Martins, Otávio Ritter Silveira, Rodrigues, Josy, Cardoso, Guilherme Roloff, Neto, Brasil Silva, Soares, Tilaê, Zanella, Aline, Filippi, Lucas Torelly, Guerra, Enilde Eloena, Cruz, Ricardo Pedrini, Kalil, Antonio Nocchi, Laporte, Gustavo, Salem, Moacyr, Lima Brazan, Murilo, Campos Prado, Caio Antonio, Moises, Elaine Christine Dantas, Suto, Hilda Satie, Yasuda, Alice Gadotti, Zani, Ana Carolina Tagliatti, Santos, Roberto Cardoso Cardoso, Duarte, Geraldo, Joviliano, Edwaldo Edner, Santos, Carolina Lourenço Gomes, Quintana, Silvana Maria, Tamashiro, Edwin, Valera, Fabiana Cardoso Pereira, Zaccaro, Marília Veccechi Bijos, Andreotti, Isis, Lima, Leonardo, Salgado, Wilson, Cunha Viana Júnior, Alonço, Moutinho, Lana, Oliveira, Cora Pichler, Martins, Isabela Trindade, Toledo, Isabela Vieira, Guimaraes‐filho, Marco Antonio Correa, Arrivabeno, Rodrigo, Murta, Claudio Bovolenta, Said, Danniel Frade, Junior, Jose Pontes, Pugliesi, Felipe Guimarães, Gregorio, Paulo, Mariani, Alessandro, Minamoto, Fabio, Silva, Juliana Lourenço, Muller, Bruno, Zanon, Caio, Carvalho, Vladimir C., Lima, Ana Lucia Munhoz, Oliveira, Priscila R, Santos Silva, Jorge, Teixeira, Mariana Faccini, Kulcsar, Marco, Matos, Leandro, Nunes, Kamilla Schmitz, Junior, Joel Abdala, Abdallah, Emne, Carvalho, Genival Barbosa, Farias, Igor Correia, Silva, Cassia, Eloi Pinto, Fabio Fernando, Facure, Luciana, Godoy, André, Kupper, Bruna, Leite, Fernanda, Melo Lôbo, Matheus, Mantoan, Henrique, Marques, Narimã, Marques, Tomas, Medici, João Paulo, Torres, Silvio Melo, Garcia, Katheryne Merlos, Meduna, Rafael Ribeiro, Herbst, Ana Carolina Scintini, Santos, Silvana Soares Dos, Gonçalves, Bruna Tirapelli, Antonini, Marcelo, Brienze, Carolina, Farah, José Francisco, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Rodrigues, Danilo Nadal, Pansani, Adrieli, Rocha, Maria Luiza, Simonsen, Marcelo, Tsuchiya, Daniela, Vasques, Rafaela, Amorim, Jorge, Carvalho, Ana Alyra, Correia, Rebeca, Santos, Brena Costa, Neto, Henrique Jorge Guedes, Nakano, Luis, Pereda, Mariana, Vasconcelos, Vladimir, Awada, Jamile Barakat, Gava, Guilherme, Ijichi, Tiago Riuji, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Pereira, Thiago Henrique Sigoli, Volpe, Gustavo Jardim, Gatti, Arthur, Nardi, Caroline, Oliva, Ramon, Oliveira, Layze Braz, Carvalho, Herica Emilia Félix, Ribeiro, Ivonizete Pires, Rodrigues, Gabriel Renan Soares, Sousa, álvaro Francisco Lopes, Chebel, Michel, Sousa Fernandes, Paulo Henrique, Freitas, Marcelo Augusto Faria, Cunha, Juliano Rodrigues, Ather, Zeenia, Dimitrov, Dobromir, Filipov, Emil, Gyokova, Elitsa, Ilieva, Ivelina, Ivanov, Tsvetomir, Karamanliev, Martin, Neykov, Vasil, Atanasov, Boyko, Belev, Nikolay, Kamenova, Paolina, Tonev, Kaloyan, Yotsov, Tsanko, Hristova, Evguenia, Spassov, Kolyo, Tsankov, Tsanko, Dardanov, Dragomir, Gribnev, Petar, Sokolov, Manol, Brown, James, Tanyi, John, Hurdle, Heather, Maclean, Anthony, Sander, Michael, Al Riyami, Salim, Bali, Krittika, Bigam, David, Dajani, Khaled, Anvari, Mehran, Bolis, Rafik, Choi, David, Ellis, Susan, Gupta, Michael, Hanna, Wael, Hong, Dennis, Horner, Cynthia, Luketic, Lea, Moisiuk, Peter, Shargall, Yaron, Alfaro, Hilda, Alkhamesi, Nawar, Allen, Laura, Brackstone, Muriel, Chan, Eunice, Cheng, Davy, Chui, Jason, Gonzalez, Nelson, Lanting, Brent, Macneil, S. Danielle, Mayer, Robert, Mcgee, Jacob, Nagappa, Mahesh, Power, Nicholas, Prempeh, Agya, Qiabi, Mehdi, Razvi, Hassan, Schemitsch, Emil, Sehmbi, Herman, Shah, Ushma, Subramani, Yamini, Vasarhelyi, Edward, Vogt, Kelly, Yang, Homer, Abdehgah, Ali Ghorbani, Balvardi, Saba, Feldman, Liane, Fiore, Julio Flavio, Hanson, Melissa, Hopkins, Brent, Kaneva, Pepa, Lee, Lawrence, Leonard, Julia, Abou‐khalil, Jad, Martel, Andre, Stevenson, James, Lee, Susan, Merchant, Richard, Avoine, Samuel, Belanger, Laurence, Belanger, Mathieu, Belzile, Etienne, Blais, Anne‐sophie, Boucher‐kovalik, Sofia, Boulanger‐gobeil, Cindy, Cardinal, Etienne, Champagne, Pierre‐olivier, Cloutier, Jonathan, Corriveau‐durand, Simon, Cote, Mathieu, Cote, Maxime, Côté, Mathilde, Courval, Valérie, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Girard, Karine, Girard, Ève‐marie, Gosselin, Karo, Khuong, Helene, Labrecque, Nathalie, Langlais, Eve‐lyne, Larouche, Audrey, Lavallée, Andréane, Lemyre, Madeleine, Maheux‐lacroix, Sarah, Marien, Melissa, Marin, Patrick, Mauger, Julie, Milot, Genevieve, Nadeau, Sylvie, Nguyen, Sebastien, Paris, Mélinda, Pelet, Stéphane, Plante, Marie, Plante, Carole, Pouliot, Frederic, Renaud, Marie Claude, Sarlabous, Mathilde, Schmit, Isabelle, St‐germain, Raphaël, Johnston, Brian, Labine, Nicole, Persad, Amit, Pham, Hong, Wood, Melissa, Azam, Riordan, Atrey, Amit, Beckett, Andrew, Cohen, Daniel, Das, Sunit, Daza, Julian, Dunkerton, Cheryl, Ellenbogen, Yosef, Hanley, Ciara, Kellett, Sorcha, Khoshbin, Amir, Ladha, Karim, Mcfarlan, Amanda, Montgomery, Spencer, Pazmino‐canizares, Janneth, Suresh, Hrishikesh, Vasdev, Ravleen, Ahmed, Maira, Gentili, Fred, Kalyvas, Aristotelis, Millesi, Matthias, Sarica, Can, Shaikh, Taariq, Leslie, St, Jacques, Null, Tabasinejad, Raha, Zadeh, Gelareh, Hsiao, Marvin, Jedrzejko, Nicole, Black, Peter, Broe, Claire, Dandurand, Charlotte, Grey, Rebecca, Leung, Philemon, Lindberg, Andrew, Gutierrez, Juan Mata, Mayson, Kelly, Meneghetti, Adam, Phillips, Drew, Street, John, Calderón, Carolina Carvajal, Pizarro, Daniel Alejandro Donoso, Fernández, Esteban, Molero, Ángela, Mutarello, Nastassja, Lucic, Jorge Núñez, Gaete, Katherine Ochoa, Lopez, Catalina Ruiz, Sepúlveda, Rina, Ulloa, Camila, Barreda, Mauricio, Dallaserra, Matias, Wood, Matías Günther, Tobar, Mauricio Sandoval, Garcia‐huidobro, Francisco, Dona, Jimena, Diez, Carolina Soto, Igor, Daniel, Mena, Javier, Reyes, José Tomás, Soto, Catalina Arredondo, Campos, Jose, Gonzalez, Javier, Rivera, Barbara, Altamirano‐villarroel, Jaime, Cohn, David, Amesti, Luis Marin, Recabal, Pedro, Sandoval, Camilo, Fonseca, Bruno Catoia, Contador, Monica, Hodali, Andres, Pincheira, Camila, Mantilla, Andrea Ramos, Garrido, Claudio Salas, Torres, Janina, Valenzuela, Marco, Chen, Zehua, Jiankun, Hu, Tao, Jin, Yang, Kun, Zhang, Yuexin, Chen, Yuan, Cunchuan, Wang, Yang, Wah, Bai, Xueli, Liang, Tingbo, Tao, Ma, Ning, Pu, Yin, Hanlin, Caicedo, Camilo, Beltran, Diego Felipe Tellez, Escobar, Alejandro, Granados, Carolina Perez, Pinzon, Lisbeth Alexandra Urueña, Bonilla, Carlos, Santana, Diana, Serrano, Oscar, Garcia, Andrea, Luque, Fernando Giron, Patino‐jaramillo, Nasly G., Baquero, Laura Giselle Contreras, Botero, Nestor Augusto Muñoz, Castellanos, Jhoana Andrea Murillo, Calvera, Andrea Juliana Vega, Acosta Buitrago, Lina M., Bohórquez‐tarazona, Maria Paz, Rivera, Paulo Andrés Cabrera, Felipe Casas, J, Alfaro, Valeria Cormane, Corso, Julian, Guerra, Bayron, Guerrero‐becerra, Albert Franz, Abiyomaa, Akram Kadamani, Montes, Felix Ramon, Paz, Manuel Santiago Mosquera, Sandoval, Camilo Andrés Polanía, Quintana, Natalia, Ortega, Carlos Fernando Roman, Santacruz, Carlos, Téllez, Manuela, Sánchez, Camilo Alejandro Velandia, Arias‐amézquita, Fernando, Vargas, Luis Felipe Cabrera, Murgueitio, Natalia Cortes, Escorcia, Elkin, Ghotme, Kemel Ahmed Ghotme, Gomez‐mayorga, Jorge Luis, Vergel, Alvaro Felipe Guerrero, Herrera‐almario, Gabriel, Londono‐schimmer, Eduardo, Mejia, Juan A., Monsalve, Guillermo, Rodriguez, Camilo, Niño, Juan Nicolas Rodriguez, Ortegón, Luis Martín Rodríguez, Sanabria, Daniel, Alvarez, Andres, Andrade, Arnulfo, Ardila‐montealegre, Javier, Baquero, David, Vidales, Edgar Mauricio Barrios, Giraldo, María Alejandra Caicedo, Carvajal, María Camila, Castillo, Maria, Florez, Maria Carolina Castillo, Cendales, María Angelica, Monroy, Danny Conde, Cortes, Henry, Daniel, Mario, De la Peña, Jairo, Delgado‐nieto, Elena Leonor, Espitia, Hernando, Avendaño, Carlos Figueroa, Burgos, Edgar Oswaldo Hernandez, Isaza‐restrepo, Andres, Londono, German, Maldonado, Margarita Maria, Montenegro, Andrea, Navarro, Juan Carlos, Navarro‐alean, Jorge, Abaunza, Katherine Parra, Pulido, Eliana, Ramírez Amaya, Erika M., Chaves, Carlos Eduardo Rey, Rincón, Natalia Andrea Rivera, Castillo, William Mauricio Riveros, Sanchez, Lizeth Rodriguez, Rubiano, Wilson, Russi, Maria, Olarte, Juan Carlos Sabogal, Tovar, Javier Mauricio Salgado, Sanchez, Maria Juliana, Varela, David Mauricio Solano, Gomez, Paula Torres, Trillos, Marcial, Patiño, Ana María Vargas, Vargas‐barato, Felipe, Leon, Juan Pablo Villate, Useche, María Alejandra Wagner, Acosta, Jesus, Almeciga, Adriana, Mendez, Luis Becerra, Beltran, Rafael Jose, Bonilla, Ana, Buitrago, Miguel, Cabrera, Marino, Quiroz, Pedro Hernando Calderon, Camacho‐nieto, Diego, Fierro, Carlos Andrés Carvajal, Bonilla, Sergio Cervera, Diaz, Sandra, Facundo, Helena, Forero, Jorge, Mora, Mauricio Garcia, Tirado, Karena Victoria Garcia, Perez, German Fabian Godoy, Gonzalez, Felipe, Guevara, Oscar, Hernandez, Jairo Alonso, Mora, David Ricardo Herrera, Lalinde, Juan David, Lehmann, Carlos, Llanos, Eduardo Leon, Lopez, Byron Eduardo Lopez De Mesa, Mariño, Ivan, Medina, Monica, Morales, Raúl Eduardo Pinilla, Puerto, Angela, Null, Ma, Quintero‐ortíz, Andrea, Hernández, Juliana Rendón, Cortés, Elio Fabio Sánchez, Hernández, Alvaro Eduardo Sánchez, Suarez, Raul, Suescun, Oscar, Vanegas, Marco, Varela, Rodolfo, Bernal, Jorge Luis Velez, Viveros‐carreño, David, Gómez, Daniela Camargo, Fletcher, Angelica, Merchan, Abel, Luna, Euler Javier Burbano, Cujiño, Indira, Galvis, Mauricio Velasquez, Galliadi, Lina Maria Vergara, Gonzalez, Orlando Abonia Gonzalez Abonia, Saravia, Maria Fernanda Acuna, Arroyave, Roberto, Angulo, Jose Maria Barreto, Bonilla‐escobar, Francisco Javier, Cardona, Uriel, Giacometto, Ivan Castañeda, Castillo, José Luis, Castillo‐cobaleda, Diego Fernando, Garcia, Diego Jose Caycedo, Tello, Brenda Marcela Coll, Dueñas‐ramirez, Juan Carlos, Vidarte, Oscar Andres Escobar, Figueroa, Luis, Garcia‐perdomo, Herney, Gomez, Alden, Gomez, Laura, Gomez, Alejandro, Grande‐gil, Ana María, Guarin, David, Guzman, Natalia, Castañeda, Enrique Herrera, Hinaoui, Marisol, Escobar, Anuar Armando Idrobo, Kammerer, Christian Kammerer, Leon, Sergio, Lucero, Carlos Antonio Llanos, López, Angie, Martinez‐blanco, Alexander Maximiliano, Casella, Antonio José Montoya, Corredor, Ricardo Andres Niño, Ordoñez, Sebastian, Uribe, Diego Alfredo Palta, Serna, Andrea Carolina Perea, Ríos, July, Ríos‐samper, Gabriel, Garcia, Juan David Rivera, Moreno, Juan Camilo Salcedo, Sandoval, John, Ramirez, Guillermo Alberto Sarmiento, Romero, Paola Andrea Tabares, Urzola, Ricardo, Valdes‐duque, Iliana Maria, Velasquez, Miguel, Villegas, Lina Maria, Zapata‐copete, James, Lara, José Omar Zorrilla, Zuluaga, Mauricio Zuluaga, Moreno, Alejandra Echeverri, Figueroa, Juan Sebastian, Ortiz, Adolfo Enrique Gómez, Mosos, Maria Fernanda Gonzalez, González‐orozco, Alejandro, Roncancio, Juan Jose Jaramillo, Martínez, María Camila Leyva, Mosos, Monica, Ramirez, Juan Sebastian, Rodríguez, Henry Andrés, Henao, Juan David Saavedra, Varón, María Alejandra Torrado, Ramírez, Leidy Natalia Idarraga, Ocampo, Lorena, Marin, Monica Cardona, Gonzalez, Ana Maria Marin, Mejia, David Alejandro, Vanegas, Luis Emiro, Martinez, Yicel Alvarez, Vesga, Sandra Aruachan, Fuentes, Dayana Vanessa Baron, Salas, Alejandra Caballero, Estrada, Gustavo Antonio Martinez, Campo, Kelly Viloria, Alvarez, Juan Antonio Corralez, Regino, Cesar David Galindo, Velasquez, Angela Maria Giraldo, Moreno, Carlos Enrique Melo, Tejada, Jorman H., Tovar, Jesus Hernan, Tovar, German Alirio, Hernández, Edison Alexander Benavides, Orozco‐chamorro, Claudia Milena, Angel, Gustavo Adolfo, Buesaquillo, Christian Ali, Montaño, Victor David Olave, Sánchez‐gómez, Andrés, Ureche, Daniela Patricia Escalante, Garrido, Jairo Martinez, Genda, Eben‐ezer, Eboma, Fabrice, Bitunjac, Kristina, Grulović, Karlo, Vučković, Marijana, Šantak, Goran, Borovic, Emanuel, Versic, Ana Bosak, Hasandić, Damir, Grabar, Natasa Poldan, Medancic, Suzana Srsen, Brkic, Lucija, Cokarić, Sara, Palac, Petra Pavic, Samac, Zeljka, Tomić, Josipa, Vrdoljak, Marija, Bacic, Ivan, Bakmaz, Bernarda, Vučičić, Nikolina Bratošević, Brzic, Domagoj, Canovic, Samir, Dijan, Emilio, Dragicevic, Maja Grgec, Karlo, Robert, Konjevoda, Suzana, Kovačević, Petra, Kovačić, Ivan, Markulić, Frane, Matak, Luka, Morović, Domagoj, Perišić, Gordan, Simic, Andrea, Skitarelić, Neven, Veršić, Matea, Žufić, Vanja, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Litvic, Dubravka Heli, Markov‐glavas, Duska, Jovanovic, Tatjana Savic, Augustin, Goran, Biloš, Jerko, Biočina, Bojan, Biosic, Vedrana, Bobovec, Dino, Botica, Iva, Bumber, Boris, Čerina, Petra, Vukovic, Katarina Duric, Gasparovic, Hrvoje, Gatin, Lucija, Grsic, Kresimir, Radojković, Ika Gugić, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Kulis, Tomislav, Kunjko, Kristian, Maric, Marjan, Kavanagh, Marcel Marjanović, Milicic, Borna, Morić, Trpimir, Pasini, Miram, Penezić, Luka, Prgomet, Drago, Prstacic, Ratko, Prtorić, Andreja, Radojković, Rudolf, Romić, Ivan, Sečan, Tomislav, Šoša, Dora škrljak, Slipac, Juraj, Tomic, Mislav, Zedelj, Jurica, Zekulić, Toni, Zimak, Zoran, Lorencin, Mia, Luksic, Ivica, Mamic, Matija, Espinsa, Norberto Miranda, Cruz, Ailén Sánchez, Antoniou, Stavros A., Kakas, Michael, Panayiotou, Yiannis, Almezghwi, Heyam, Arslan, Kalbim, Besim, Hasan, Özant, Ali, Özçay, Necdet, Kokkinos, Georgios, Papatheodorou, Panayiotis, Pozotou, Ioanna, Stavrinidou, Olga, Yiallourou, Anneza, Burda, Lukáš, Dosoudil, Michal, Martinek, Lubomir, Gawel, Wladyslaw B., Lerch, Milan, Peteja, Matúš, Žatecký, Jan, Daniel, Toman, Formánek, Martin, Javurkova, Veronika, Kepičová, Markéta, Macečková, Nicole, Matousek, Petr, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Černý, Jan, Khan, Sami, Lischke, Robert, Přibyl, Martin, Younus, Temoore, Amarasena, Yenuksha, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Harbjerg, Julie Lykke, Hviid, Louise, Kristensen, Helle ø, Mekhael, Mira, Nielsen, Mette Fugleberg, Paulsen, Laerke, Sinimäki, Saija, Mogensen, Louise Zinck, Bonde, Peter, Ebbehøj, Anders Lyng, Fenger, Anne‐sophie, Haugstvedt, Aleksander Fjeld, Hansen, Christine Hangaard, Jönsson, Maria Lovisa, Jorgensen, Lars N, Krarup, Peter‐martin, Lihn, Anne‐louise, Meyhoff, Christian, Otte, Helena, Amar, Anas Ould Si, Palm, Henrik, Schlesinger, Nis, Smith, Henry, Tryggedsson, Ida, Axelsen, Anne Reiss, Bælum, Jens Kristian, Ellebaek, Mark Bremholm, Ellebæk, Signe Bremholm, Hogh, Anders, Acosta, Maria, Acosta, Yancy, Baez, Pedro, Betances, Luis Alfredo, Bonilla, Luis Rodolfo, Cabreja, Daniel, Cruz, Wilton Cabrera, Expósito, María Mabel Collado, Crespo, Aldo, Cruz‐pineda, Octavio, D’óleo García, Claudio Samuel, Díaz, Pedro, Escoto, Remberto, Figueroa, Jatnna, Garcia, Luis, Rodriguez, U Garcia‐Dubus, Gomez, Humberto, Grullon, Adrian, Guerrero, Fatherin, Guzman, Lillian, Mosquea, Thelma Rocío Jiménez, Lazala, Engels, Lopez, Ariela, Francisco, Leeany Maletta, Mercado, Jhomayri, Munoz, Herisardy, Paulino, Jeffrey, Fernandez, Maricely Ambar Perez, Reyes, Rudeily, Guilamo, Lilia Rosa Reyes, Rivas, Ruben, Torres, Claudia Alejandra Rivas, Rodríguez, Ada, Villa, Madelin Tamar Rosario, Santana, Eleazar, Soto, Joel, Tactuk, Nassin, Sardiñas, Cristina Kristel Tonos, Ubinas, Raul, Victoria, Jose, Villegas, Aaron, Acra‐tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Blaubach, Alejandro, Mejía, Denisse Idalia Campos, Capellan, Nathalia, Bruzual, María Fernanda Cedeño, Spencer, Saray Cordero, Lantigua, Gabriella Cuevas, De Jesus, Luis, Díaz, Gabriela, Vásquez, Pedro Pablo Díaz, Disla, Karla, Uceta, Jesús Antonio Echavarría, Jimenez, Paola Irina Eusebio, Fernandez, Damaris, Camilo, Marlin Fernandez, Germosen, Jiomar Manuel Figueroa, Fortunato, Maruel, Fernández, Leyla Gabriel, Dihmes, Alicia German, Herrera, Héctor, Cuevas, Elizabeth Leon, Mata, Jose Alejandro, De La Cruz, Mirian Mateo, De la Cruz, Dolores Mejia, Mirambeaux, Marcos, De La Cruz, Fabio Ortiz, Paulino, Henry, Pelletier, Gabriela, Pichardo, Merycarla, Enrique, Rodriguez Pumarol Próspero, Rivas, Julio, Marmolejos, Ann Stephany Sanchez, Santana, Roman Santana, Almanzar, Irina Suero, Sánchez, María Magdalena Vásquez, Campuzano, Nicolás, Ocampo, José Ricardo Negrete, Armas, Maria, Guerra, Alvaro Santiago LeMarie, Vizcaya, Gustavo León, Abdelwahab, Omar Ahmed, Elmehrath, Ahmed O., Mostafa, Mohammed Ezzat, Amira, Gamal, Sallam, Ibrahim, Sherief, Mohamed, Abdelmajeed, Ahmed, Abdou, Mostafa, Shanab, Ahmed Abo, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Bakr, Amna Abou, Aboubakr, Samar, Abouelnagah, Yossof, Aboumadawy, Omar, Adel, Dina, Afifi, Nermeen, Ahmed, Sara, Ahmed, Abedelrahman, Sayed, Mohamed AL, Alberkamy, Abdelrahman, Aldahma, Mohamed, Ali, Ahmed, Ali, Mostafa, Bakr, Mohamed Amin, Anter, Alaa, Asal, Doaa, Ashoush, Fouad, Ashraf, Olfat, Ashraf, Abdel Rahman, Atta, Rewan, Badr, Salma, Bahaaeldin, Mohamed, Bastawesy, Mostafa, Darwish, Sara, El Kharashy, Rasha, Elassar, Ziad, Elbadawy, Seifeldin, Elkhity, Dina, Elsaka, Alromisaa, Elsayed, Manal, Hewalla, Mostafa Elsayed Elsayed, Elshafey, Mohamed, Eshac, Youssof, Eshac, Fares, Essameldin, Amr, Ewedah, Moataz, Ezz, Yara, Farag, Mohamed, Gadelkarim, Inas, Gadelrab, Ziyad, Gamal, Dina, Ghaly, Mira, Girgis, Nathalie, Gouda, Omar, El Goweini, Nancy H., Hafez, Nour, Hafez, Youssef, Abdin, Abdelkader Hamed, Hanno, Rodina, Hassanin, Aliaa, Hassanin, Mohamed, Hemead, Hanan M., Hemida, Abdelrahman, Hosain, Maher, Hossam, Ahmed, Aly, Hamza Hussein Aly Salama, Ibrahim, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Hamouda, Noha Mohamed Salah Ibrahim Moussa, Iskander, Monica, Khalifa, Islam, Kotb, Mostafa, Mahmoud, Nada, Shabana, Alaa Mahmoud Abo, Mamdouh, Nora, Metwalli, Maram, Metwally, Khaled, Moghazy, Mahmoud, Mohamed, Moustafa, Mourad, Mohamed, Moustafa, Esraa, Mubarek, Kamilia, Nader, Nour Eldin, Nasser, Ahmed, Omar, Samaa, Qatora, Mostafa Shehata, Ragab, Mohamed, Ragal, Marawan, Ramadan, Dina, Ramadan, Rana, Ramadan, Sara, Romany, John, Sabry, Ahmed, Said, Yasmeen, Salamah, Sara, Saleh, Ahmed Mostafa, Elkaffas, Mona Saleh Mesbah Mohamed, Salem, Alaa, Salim, Hashem, Samih, Ahmed, Abdelaal, Ahmed Samir, Shaheen, Ahmed, Mohammed, Yassmeen Sharafeldin, Shehata, Abdelrahman, Shemeis, Mohamed, Shenit, Karim, Sheta, Mennatallah, Soffar, Asmaa, Tanas, Yousef, Tarek, Ahmed, Yehia, Nermin, Eid, Omar Khaled Mohamed, Abdulfattah, Ammar Yasser, Elsaghir, Ahmed, Elganainy, Mohamed Fouad, Elsayed, Omar Ibrahim, Elmandouh, Omar, Hamam, Omar, Shehata, Mostafa Ahmed, Abdelaziz, Areej A., Abbas, Ahmed M., El‐ghani, Wael Abd, Abd Elazeem, Hossam Aldein S., Elsayed, Mustafa Abd, Abd‐elkariem, Ahmed Yassien, Abdalla, Shimaa, Abdel‐aleem, Mahmoud, Abdelazeem, Khaled, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abdelraouf, Ali, Abdullaha, Lamess, Abubeih, Hossam, Ahmed, Moaiad Eldin, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Saad, Sarah Ahmed, Alaa, Sherif, Alhussaini, Ali, Ali, Abdelrahman Ahmed Abdelrahman, Ali, Ibrahim, Ali, Wagdi, Mohamed, Mohamed Ali, Ashraf, Mohamed, Bassiouni, Muhammad, El‐adawy, Mohamed G., El‐sharkawi, Mohammad, Elkhayat, Hussein, Elmaghraby, Khaled, Elsdfy, Shady, Elsharkawy, Mohamed, Eltayeb, Almoutaz, Mohamed, Mohamed Esmat, Essam, Esraa, Fahd, Mahmoud, Farouk, Osama, Gadelkareem, Rabea, Ghoneim, Ahmed, Takrouney, Mohammed Hamada, Hamdan, Ahmed, Hamed, Abd El‐Rahman, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Hawal, Islam, Henes, Kerollos, Herdan, Mohamed Omar, Hetta, Helal F., Ibrahem, Omar, Ibrahim, Mostafa, Ibrahim, Islam H., Kamel, Mahmoud, Khallaf, Mohamed, Elghazaly, Shrouk M., Mahfouz, Abobakr, Mahmoud, Osman, Mahran, Wesam, Mahrous, Doha, Marsis, Abadeer, Mohamed, Ayman, Hussein, Aliae Mohamed, Sayed, Amr Mohamed, Mohammed, Mahmoud M, Mokhtar, Ahmed, Monib, Fatma A., Nageeb, Ahmed, Nageh, Mariam Albatoul, Nageh, Mohammed, Omar, Nehal Gamal, Ragab, Abdelrahman, Ramadan, Abdelrahman, Temerik, Abdallah Rashad, Sabry, Aya, Safwat, Hadeer, Salah, Omar, Mahmoud, Ahmed Elhussiny Salah, Saleh, Ahmed, Sallam, Mahmoud, Samir, Ahmed, Sayad, Reem, Sayed, Esraa, Sedik, Ahmed S., Shahine, Mohammed, Soliman, Antonios, Soliman, Wael, Taher, Mohamed Gamal, Wanees, Randa, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Elabedeen, Omar Zein, Hassan, Ahmed Emad Sayed, Fattah, Shrouk Abdel, Abostate, Ahmed, Ali, Samar, Salama, Saad Ali Saad, Allam, Mohamed, Alsadek, Ahmed, Arafa, Ebrahim, Barakat, Ahmed, El Sherpiny, Mohammed, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Eltregy, Sherif, Hamdy, Mahmoud, Hassan, Gehad, Khalifa, Aya, Mahmoud, Ahmed, Altukhy, Ahmed Mohamed, Noah, Kareem, Noureldin, Yasser, Nowar, Mostafa, Saad, Moustafa, Elsaeidy, Ahmed Saad, Elsaeidy, Khaled Saad, Sabry, Hesham, Sameh, Mostafa, Said‐elnaby, Ahmed Tarek, Zahed, Mohamed, Zahran, Mohamed, Zaid, Abdelrahman, Zoghary, Ahmed Zaki, Atef, Mohamed, Mohamed, Ahmed, Youssef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, Alazab, Emad, Awad, Ahmed K., Darwesh, Amr, El Fiky, Lobna, Elgarhy, Ibrahim, Nassef, Mohamed Adel, Shaban, Mahmoud, Shalaby, Mahmoud Mohamed Mohamed, Wahba, Abdelrahman, Fouad, Omar Youssif Omar, Elsadek, Menan, Gad, Dalia, Abdelsamed, Ahmed, Bayomy, Abdulhakeem, Elsalhy, Mohamed, Fahim, Ahmed, Seleim, Ahmed, Afifi, Eman, Gamal, Fatma Alzahraa, Gamal, Mennatullah, Eldesouky, Omnia, Eldwini, Mohamed Hatem Elmetwalli Eldwini, Fahmy, Mostafa Medhat Fahmy, Hussein, Ahmed, Ouf, Abdallah, Sami, Omar, Shaat, Salem, Bahi, Abdullah Wael Mostafa Khalil, Atea, Abdurhman, Gamal, Ibrahim, El Kassas, Mohamed, Omar, Wael, Tawheed, Ahmed, Al‐oribi, Saeid, Aly, Nuran Khaled, Elfiky, Mahmoud, Elmaghraby, Alaa Eldine, Elrahmany, Abdulrahman, Elsherbeeny, Motaz, Helmy, Youssef, Nabil, Ahmed, Farahat, Ahmed Samir, Soliman, Mostafa, Wassef, Amr, Abdelrahman, Abdelrahman, Elsaban, Seif, Ghaly, Galal, Hamdy, Rana, Mondy, Hamada, Abdallah, Lubna, Darwish, Abdelrhman KZ, Rabea, Mohamed, Azab, Mohammed A, Abbas, Alzhraa Salah, El‐deeb, Marwa, Fawzy, Mohamed, Ibraheem, Maher, Bakry, Abdelrahman, Elnems, Sarah, Elsheikh, Randa, Gbreel, Mohamed Ibrahim, Hafez, Mahmoud, Jammal, Mohamed, Hamam, Khaled M, Makram, Abdelrahman M, Makram, Omar Mohamed, Rabie, Salma, Askalany, Sherine Yousery, Abushanab, Mokhtar Mohamed Ibrahim, Eid, Abdulrahman, El Ghalid, Mohammed Refaat Ibrahiem Amin, Abdelaty, Ahmed Adel, Fayad, Elsayed A., Radwan, Asmaa, Sallam, Moataz, Shokry, Ahmad, Farouk, Ahmed Mohamed, Elfallal, Ahmed, Elfeki, Hossam, Elsaeed, Mohamed, Elsaid, Mahmoud, Makroum, Amany, Elsaid, Dina Mohamed, Mostafa, Mohamed, Omar, Mohamed W, Rezk, Mohamed, Sakr, Ahmed, Sanad, Aly, Shalaby, Mostafa, Shawqy, Mohammed, Shetiwy, Mohamed, Shoma, Ashraf, Tawakl, Noura, Yunes, Asmaa, Abouzid, Amr, Atallah, Khalid, Elmorsi, Rami, Elsherbini, Ahmed, Gaballa, Khaled, Hamdy, Omar, Hamdy, Mohamed, Metwally, Islam Hany, Refky, Basel, Shetiwy, Mosab, Zuhdy, Mohammed, Zahran, Mohammed A, Abdellah, Fatima, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Al‐shazly, Mohammed Hamdy, Ali, Mohamed, Allam, Abdallah R, Aposaeeda, Aya, Asfour, Mohammed, Ayman, Ammar, Omran, Abdelrahman Azzam, Daghash, Ibrahim Tawfiq, Ebada, Mahmoud Ahmed, Eid, Taher, El Kelany, Ahmed, El Shemy, Esraa, El‐hag‐aly, Mohammed, Elgamal, Omar, Elghoury, Mahmoud, Elkased, Ahmed Farag, Ellakwa, Takwa Hamed, Ellakwa, Hamed, Elmeanawy, Amr, Elnoamany, Salma, Elsabagh, Alaa, Elsawey, Abdelrahman, Elshabrawy, Enas, Elshakhs, Seliman, Elsoudy, Naira, Ezzat, Esraa, Fawzy, Ahmed, Gamal, Abrar, Gameel, Ahmed, Gharbia, Khaled, Ghonaim, Mohamed, Ghonaim, Alaa, Hafez, Ahmed, Hafez, Abdelrahman, Ismail, Zainab, Khaled, Mohamed, Meselhy, Mohammed, Mikhail, Pola, Mohamed, Mervat, Mougahed, Mohamed, Mustafa, Abdulla, Nada, Ahmed, Omran, Janna, Ebiad, Mohamed S., Saleh, Ibrahiem, Salem, Nourhan, Salem, Osama, Selim, Salma, Shalaby, Ghada, Sherif, Hoda, Soltan, Hatem, Wahbah, Mahmoud, Abdelbary, Eman Zakaria, Zayan, Ahmad Helmy, Afify, Abdelrahman, Hadiya, Hossam Ali, Elshref, Mohamed Jamal, Ahmed, Mostafa Mohamed, Nasser, Nourhan, Abdeldayem, Hesham, Salama, Ibrahim Abdelkader, Ammar, Khaled, Ayoub, Islam, Aziz, Amr, Badawy, Mohammad Taha, Balabel, Mohamed, Fayed, Yahya, Gad, Emad Hamdy, Gomaha, Maher, Hammad, Essam, Hegazy, Osama, Hegazy, Elsayed, Ibrahim, Tarek, Kallaf, Mostafa, Macshut, Mahmoud, Magdy, Ammar, Oteem, Ahmed, Sallam, Ahmed, Samaan, Samy, Sharshar, Mohamed, Shoreem, Hany, Soliman, Elsayed, Soliman, Hossam Eldeen, Yassein, Taha, Zakaria, Hazem, Eldaly, Abdullah, Mashaly, Sarah, Abd‐elsalam, Sherief, Abdel‐elsalam, Wafaa, Shaalah, Ahmed Abdullah, Elbahnasawy, Mohamed, Elhalaby, Ismael, Hamada, Mohamed, Soliman, Sarah Hamdy, Hawila, Ahmed, Morsy, Mohamed Sherif, Naieem, Mohmed, Nasreddin, Mohammed, Salman, Samar, Sarsik, Sameh, Shabana, Ahmed, Tolba, Engy, Zagho, Mohamed, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abdurehman, Oumer, Admasu, Azarias, Berhea, Ataklitie, Eado, Yegeremu, Hailu, Nebiyou, Kidane, Meklit, Mohammed, Abdurezak, Mohammed, Khalid, Tibelt, Admasu, Woldemariam, Mersha Abebe, Yonael, Lydya, Alemu, Megersa, Aklilu, Abenezer Tirsit, Asele, Frehun, Assefa, Solomon, Azmach, Dawit, Bekele, Philimon, Mamo, Mickyas, Maru, Nahom, Mekuria, Haile, Menkir, Abel, Mikru, Filagot, Siraw, Eyerusalem, Suga, Hilkiah, Sumoro, Natnael, Teka, Aklilu, Thomas, Efeson, Woldemariam, Dereje, Wubishet, Estifanos, Abebe, Engida, Abebe, Kirubel, Asfaw, Fitsum, Bergene, Eyerusalem, Eshete, Mahder, Gebrehiwot, Fitsum Gebreegziabher, Gedefaw, Yetsedaw, Mengesha, Mulualem Wondafrash, Mengiste, Netsanet, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Tedla, Yonatan, Teklu, Daniel, Teshome, Henok, Tirfe, Leake, Tsegabrhan, Sahle, Tsehaye, Milkias, Worku, Bereket, Molla, Million, Supha, Melka, Taye, Tewodros, Abebe, Nebyou, Alemu, Berhanu, Chanie, Abera, Degefu, Hailegebriel, Desalegn, Dawit, Gebre, Hiwot, Hussen, Husnia, Kassa, Dawit, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Negash, Samuel, Sahlu, Abat, Tiruneh, Abraham Genetu, Wolde, Amanuel, Woldeselassie, Hanna Getachew, Ahmed, Mnewer Y., Zewdneh, Betelhem, Fentaw, Jibril, Salia, Shemsedin, Tabore, Ketema, Gurara, Addisalem, Abreha, Tassew, Abrha, Teklebirhan, Beyene, Gaym, Hailu, Niguse, Weldu, Mulu Atsbaha, Abdissa, Desalegn, Tesfaw, Mequannet, Wolle, Melatework, Asmamaw, Dawit, Assefa, Biniam Zemedu, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Melkamu, Solomon, Mengesha, Workineh, Shumye, Getachew, Tagele, Gashaye, Tesfa, Abrham Amare, Workneh, Wubshet, Genetu, Sileshi, Mebratu, Eneyew, Chanyalew, Lidya, Deresse, Tilahun, Girma, Adissu, Seid, Marta, Shimelash, Dagim, Shitaw, Abrham, Ayalew, Tewabe, Diress, Tesfaye, Kassahun, Berhanu, Kassaye, Bersabeh, Mulugeta, Esubalew, Tesfaw, Getasew, Yimenu, Beminet, Benecha, Semir, Aman, Mudesir, Ibrahim, Adem, Mekete, Alem, Tesemma, Abdi, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Ahmedin, Mahlet, Assefa, Yared, Ayde, Fitsum, Berhe, Alazar, Gebremeskel, Zersenay, Siyoum, Eneyew Getachew, Teresa, Sintayehu, Wude, Zinaye, Yemer, Fasika, Yohannes, Dagnachew, Zeleke, Ewunetu, Zerihun, Gulilat, Degefe, Derje Worku, Derilo, Hankore Tamirat, Eliyas, Nebiyu, Bayissa, Firew, Deressa, Yadani, Gemechu, Lidya, Gurmu, Tegenu, Kasaye, Ashenafi, Melese, Lemi, Muleta, Lemesa, Mulugeta, Gersam, Taye, Seifu, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Gebreagziabher, Haile, Mhreteab, Kassa, Haftamu, Saddik, Mohammed, Mengist, Alemneh, Heikkinen, Juuso, Helminen, Olli, Huhta, Heikki, Kotkavaara, Tommi, Mosorin, Matti‐aleksi, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Sova, Henri, Tastula, Mikko, Virta, Ville P, Bettoni, Jérémie, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Breheret, Renaud, Fouquet, Olivier, Gueutier, Alexandre, Henric, Nicolas, Kahn, Alexis, Kün‐darbois, Jean‐daniel, Moukoko, Didier, Pineau, Anna, Podevin, Guillaume, Schmitt, Françoise, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Marie‐macron, Lysa, Doussot, Alexandre, Ahmed, Omar, Alnajjar, Louy, Mis, Tommaso Cipolat, Fliss, Souha, Giocanti‐auregan, Audrey, Gregory, Thomas, Guiraudet, Patrice, Le Fouler, Adrien, Martinod, Emmanuel, Onorati, Ilaria, Peretti, Marine, Quilichini, Julien, Radu, Dana, Trésallet, Tresallet, Andro, Christophe, Maffert, Alexis, Chapman, Tracy, Halden, Maxime, Fayon, Julie, Mattevi, Catherine, Marion, Herjean, Bendjemar, Lynda, Lionel, Charre, Mikhael, Elie, Macías, Rosa Montero, Villefranque, Vincent, Volpin, Enrico, Trilling, Bertrand, Boleslawski, Emmanuel, Constance, Houlzé‐laroye, Drubay, Vincent, El Amrani, Mehdi, Eveno, Clarisse, Lecolle, Katia, Martin, Louis, Noiret, Barbara, Piessen, Guillaume, Truant, Stephanie, Zerbib, Philippe, Aubry, Estelle, Denimal, Franck, Lamblin, Antoine, Barrat, Benjamin, Caire, François, Christou, Niki, Fourcade, Laurent, Laloze, Jerome, Bouv‐hez, Margaux Mekann, Salle, Henri, Taibi, Abdelkader, Tricard, Jeremy, Usseglio, Julie, Chopinet, Sophie, Gregoire, Emilie, Delpont, Marion, Blanchard, Claire, Crenn, Vincent, Vergie, Stéphane, Denis, Waast, Fragnaud, Henri, Regenet, Nicolas, Rigaud, Jerome, Varenne, Yoann, Anract, Philippe, Barat, Maxime, Biau, David, Dautry, Raphaël, Dohan, Anthony, Idier, Louis, Lang, Elena, Thouny, Camille, Tzedakis, Stylianos, Audenet, François, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Clermidi, Pauline, Langlais, Tristan, Leonelli, Lorenzo, Maisonneuve, Emeline, Nicolas, Beaud, Perrot, Ophelie, Prost, Doriane, Thomin, Anne, Thouement, Thouement, Athiel, Yoann, Berry, Richard, Boddaert, Guillaume, Bonnet, Stéphane, Cathala, Nathalie, Conso, Christel, Denet, Christine, Laforest, Anaïs, Levy‐zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Scamporlino, Adriana, Zadegan, Frederic, Amine, Chamakhi Ahmed, Baratte, Baratte, Chartier‐kastler, Emmanuel, Chereau, Nathalie, Colas, Pierre‐antoine, Duquesne, Igor, Genser, Laurent, Petit, Gaëlle Godiris, Goumard, Claire, Hasani, Ariola, Lim, Chetana, Martellotto, Sophie, Melot, Charlotte, Menegaux, Fabrice, Pinar, Ugo, Pocard, Marc, Roupret, Morgan, Scatton, Olivier, Seisen, Thomas, Séverine, Noullet, Turco, Célia, Chouillard, Elie, Beganton, Paul, Frasca, Denis, Kerforne, Thomas, Corbiere, Lisa, Gasmi, Anis, Ghemame, Marwane, Guérin, Sonia, Khene, Zine‐eddine, Livin, Marie, Mahmoud, Fedy, Maillot, Betty, Merdrignac, Aude, Mouriaux, Frederic, Robin, Fabien, Sulpice, Laurent, Vazeux, Charles, Bertheuil, Nicolas, Bonneau, Soline, Cazemajou, Clément Thierry, Cousin, Ianis, Defert, Coralie, Fustec, Elisa, Juricic, Melodie, Lavoue, Vincent, Mevel, Gwenaël, Timoh, Krystel Nyangoh, Renault, Annaëlle, Violas, Philippe, Schwarz, Lilian, Tuech, Jean Jacques, Morichau‐beauchant, Tristan, Sauvat, Frederique, Haddad, Elie, Vermersch, Sophie, Patrizi, Andrea, Roux, Alexia, Aimé, Adeline, Malgras, Brice, Cherkaoui, Zineb, D’Urso, Antonio, Felli, Emanuele, Gonzalez, Cristians Alejandro, Ignat, Mihaela, Mutter, Didier, Pessaux, Patrick, Vix, Michel, Gornes, Hugo, Vergriete, Kélig, Berthoumieu, Pierre, Genre, Ludivine, Le Gall, Hélène, Pierre, Trocard, Chalhoub, Marc, Del, Mathilde, Martinez, Alejandra, Fuchs‐buder, Thomas, Vancon, Antoine, Faya, Camara Abraham, Asaph, Elvam, Baruwa, Elisee, Hofman, Gwen, Machemedze, Solomon, Idiata, Michael Mayombo, Muhemi, Roger, Ndizeye, Olivier, Nkunzimana, Elysé, O’Connor, Jennifer, O’Connor, Zachary, Tchoba, Simplice, Boumas, Natacha, Devidze, Grigol, Pisarevi, Givi, Baumgarten, Sabine, Grüßer, Linda, Hölzle, Frank, Kowark, Pascal, Kowark, Ana, Rossaint, Rolf, Schäfer, Benedikt, Wallqvist, Julia, Winnand, Philipp, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Edlinger, Florian, Goßlau, Yvonne, Hyhlik‐duerr, Alexander, Maksymiw, Florian, Shiban, Ehab, Sommer, Florian, Sommer, Björn, Zerwes, Sebastian, Beyer, Katharina, Lauscher, Johannes Christian, Lee, Lucas D., Loch, Florian N, Schineis, Christian, Aghalarov, Ilgar, Belyaev, Orlin, Braumann, Chris, Enste, Annika, Fahlbusch, Tim, Herzog, Torsten, Horn, Julian, Jedanowski, Julia, Knipschild, Julia, Luu, Andreas Minh, Mohan, Prem Vignesh, Siemen, Leonie, Slobodkin, Illya, Strotmann, Johanna Josefine, Uhl, Waldemar, Wolf, Katerina, Coburn, Mark, Egger, Eva, Eichhorn, Klaus, Enderes, Jana, Far, Frederick, Franzen, Alina, Güresir, Erdem, Hadjiathanasiou, Alexis, Kalff, Jörg C., Kohistani, Zaki, Manekeller, Steffen, Mustea, Alexander, Probst, Chris, Randau, Thomas, Recker, Florian, Schuss, Patrick, Straßberger‐nerschbach, Nadine, Strieth, Sebastian, Treede, Hendrik, Beekum, Cornelius J., Vatter, Hartmut, Velten, Markus, Vilz, Tim O., Wirtz, Dieter, Wittmann, Maria, Behr, Michael, Bulian, Dirk Rolf, Marche, Benedikt, Moczko, Tobias, Otchwemah, Robin, Schulz, Sissy‐amelie, Thomaidis, Panagiotis, Bruns, Christiane, Cursiefen, Claus, Domröse, Christian, Fuchs, Hans, Heindl, Ludwig Maximilian, Mallmann, Michael R., Mallmann, Christoph, Ratiu, Dominik Alexander, Canzler, Ulrich, Distler, Marius, Korn, Sandra, Meisel, Cornelia, Meusel, Marcus, Petzold, Andrea, Praetorius, Christian, Renesse, Janusz, Weitz, Juergen, Wimberger, Pauline, Alkhanji, Nour, Fung, Stephen, Jaber, Kefah, Knoefel, Wolfram Trudo, Vay, Christian, Clonda, Octavian, Cottin, Tatiana, Juodiene, Evelina, Juodis, Domantas, Petrovic, Biljana, Solodarenko, Oleksandra, Binder, Johannes, Grützmann, Robert, Hackner, Danilo, Junker, Stefanie, Arsalan, Mani, Banek, Severine, Chun, Felix, Faqar‐uz‐zaman, Sara Fatima, Keese, Daniel, Kluth, Luis, Rolle, Udo, Van Linden, Arnaud, Walther, Thomas, Bayer, Jörg, Beck, Jürgen, Fung, Christian, Kraus, Luisa Mona, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schnell, Oliver, Schulte, Antonia, Strähle, Jakob, Jarmusch, Stefanie, Novotny, Helmut Franz Georg, Becker, Johannes, Fulghum, Christian, Gonschor, Bernhard, Herbolzheimer, Marit, Nicolaiciuc, Sina, Trulson, Alexander, Vogelsang, Holger, Zimmermann, Benno, Akbari, Amir Ali, Boening, Andreas, Edinger, Fabian, Hecker, Matthias, Knitschke, Michael, Koch, Christian, Reichert, Martin, Schmidt, Götz, Schneck, Emmanuel, Uhl, Eberhard, Nóbrega, Silvia Flachs, Kauffmann, Philipp, Miller, Clemens, Nemeth, Marcus, Sievers, Denise, Kisser, Ulrich, Kleeff, Jorg, Klose, Johannes, Lorenz, Kerstin, Papendick, Nancy, Plontke, Stefan, Seiwerth, Ingmar, Steer, Susanne, Thomssen, Christoph, Ukkat, Jörg, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Hanke, John, Klauke, Friederike, Leuschner, Sebastian, Mendel, Thomas, Müller, Katharina, Schmidt, Birte, Schreiter, Valentin, Stosberg, Peter, Vinz, Franziska, Herbig, Beate, Sander, Johannes, Schulte, Thilo Maria, Betz, Christian Stephan, Bewarder, Julian, Bier, Johannes, Böttcher, Arne, Burg, Simon, Busch, Chia‐jung, Bußmann, Lara, Gosau, Martin, Heuer, Annika, Izbicki, Jakob, Klatte, Till Orla, König, Daniela, Köpke, Leon‐gordian, Moeckelmann, Nikolaus, Praetorius, Mark, Priemel, Matthias, Stadlhofer, Rupert, Stangenberg, Martin, Uzunoglu, Faik G., Wittig, Lukas, Zech, Henrike, Zeller, Nina, Roux, Frederic, Spaeth, Tsiona, Fricker, Roland, Müller, Thomas, Schröder, Lars, Alasmari, Mohammed, Boeker, Clara, Hakami, Ibrahim Abdullah, Mall, Julian W, Kyritsis, Ioannis, Graeb, Christian, Huber‐strößner, Kristin, Branzan, Daniela, Doss, Markus, Gockel, Ines, Jödicke, Carolin, Osterhoff, Georg, Pempe, Christina, Sucher, Robert, Adler, Tina, Kelly, Kathrin, Merkle, Janica, Siebert, Julia, Hirche, Christoph, Kneser, Ulrich, Tapking, Christian, Agrawal, Rachit, Qureischie, Homeira, Croner, Roland, Koslowski, Lisa, Krause, Hardy, Meyer, Frank, Turial, Salmai, Al‐nawas, Bilal, Battista, Marco Johannes, Goedeke, Jan, Hasenburg, Annette, Heider, Julia, Mueller, Lena Katharina, Zeller, Simon, Jentschura, Sina Louisa Patrizia, Kowalewski, Karl‐friedrich, Kriegmair, Maximilian, Männle, David, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Kirschniak, Andreas, Rolinger, Jens, Wilhelm, Peter, Bader, Franz G., Ottl, Stephanie, Behr, Alexandra Viktoria, Diamantis, Alexandros, Fichter, Andreas, Grill, Florian, Heck, Matthias, Jira, Daniel, Kallmayer, Michael, Koll, Florestan, Luhne, Stefan, Meyer, Bernhard, Patachia, Robert, Pergolini, Ilaria, Safi, Seyer, Schäffer, Christoph, Schirren, Moritz, Wegmann, Helmut, Wirth, Markus, Zhu, Zhaojun, Aghamaliyev, Ughur, Almaghrabi, Mahmoud, Böcker, Wolfgang, Bruder, Jan, Frank, Konstantin, Herterich, Viktoria, Huber, Verena, Ilmer, Matthias, Kammerlander, Christian, Neuerburg, Carl, Ehrlich‐treuenstätt, Viktor H., Werner, Jens, Börner, Nikolaus, Fegg, Florian, Hartmann, Daniela, Ladurner, Roland, Liokatis, Paris, Patzer, Kathrin, Schlager, Justin Gabriel, Smolka, Wenko, Zimmermann, Petra, Hatz, Rudolf, Steinhart, Diana, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Steiner, Martin, Hölz, Katharina, Knorr, Christian, Kuehlmann, Britta, Oikonomou, Kyriakos, Prantl, Lukas, Flurschütz, Roland, Honarpisheh, Human, Kröger, Marie, Lepiorz, Dominic, Luths, Charlotte, Niemeier, Andreas, Sras, Yara, Strate, Tim, Winter, Thore, Freiman, Thomas, Gessler, Florian, Won, Sae‐yeon, Widyaningsih, Rizky, Hoffmann, Sebastian, Schäfer, Ruth Christine, Thiel, Johannes Tobias, Bertolani, Elisa, Steidle, Christoph, Überrück, Lisa, Yurttas, Can, Ziegler, Patrick, Zimmermann, Alexander, Bolenz, Christian, Dayan, Davut, Greve, Jens, Hoffmann, Thomas K., Janni, Wolfgang, Löbig, Niklas, Schochter, Fabienne, Vahl, Julius Malte, Wezel, Felix, Greif, Veronika, Schmidbauer, Stefan, Marsch, Imke, Schneider, Rolf, Boenicke, Lars, Degener, Stephan, Dreger, Nici Markus, Horstmeier, Franz Christian, Kruschwitz, Jakob, Rombach, Adrian, Schmidt, Nele, Seiberth, Rose, Singh, Jaswinder, Smit, Marieke, Rundstedt, Friedrich‐carl, Zirngibl, Hubert, Diessner, Joachim, Friedrich, Sabine, Germer, Christoph‐thomas, Helmer, Philipp, Herrmann, Johannes, Kranke, Peter, Kübler, Hubert, Lock, Johan, Lotz, Christopher, Meffert, Rainer, Meybohm, Patrick, Müller, Sophie, Notz, Quirin, Popp, Maria, Schlegel, Nicolas, Schlesinger, Tobias, Schmid, Benedikt, Sitter, Magdalena, Steinisch, Andreas, Treutlein, Agnes, Berg, Anne, Wurmb, Thomas Erik, Agyeman‐duah, Nana Kwaku, Appiah, Enoch, Armah, Ralph, Asare, Christopher, Awere‐kyere, Lawrence, Daary, Dennis, Gakpetor, Delali, Allah, Stephen Minlah, Obbeng, Ambe, Osei‐poku, Dorcas, Puozaa, Diana, Tackie, Enoch, Adu‐aryee, Nii Armah, Agboadoh, Nelson, Asare, Offei, Bowan, Antoinette Bediako, Brown, George Darko, Clegg‐lamptey, Joe‐nat, Dedey, Florence, Dery, Cedric, Fenu, Benjamin Sena, Harrison, Marian Abedua, Kumassah, Philemon, Kuuzie, Ekins, Nsaful, Josephine, Olayiwola, David Olatayo, Smith, Cecilia, Banka, Charles, Hussey, Romeo, Azize, Diallo Abdoul, Aniakwo, Luke Adagrah, Adofo‐asamoah, Yvonne, Agbeno, Evans Kofi, Agyapong, Meshach Manu, Agyen, Thomas, Mensah, Kwasi Agyen, Alhassan, Baba Alhaji Bin, Amoako‐boateng, Mabel, Appiah‐thompson, Peter, Gyimah, Nita Asamoa‐Manu, Asante‐bremang, Moses, Asante‐asamani, Alvin, Atawurah, Henry, Appiah, Anthony Baffour, Baidoo, Richard Ogirma, Baidoo, Ebikela Ivie, Boakye, Benedict, Boateng, Abigail, Dadoe, Dora, Dayie, Makafui Seth Caleb‐Joshua Kwasi, Debrah, Samuel, Doku, Kingsley, Enti, Enti, Ken‐amoah, Sebastian, Koggoh, Patience, Kpangkpari, Richard, Maison, Patrick, Mensah, Samuel, Mensah, Philip, Mensah, Teresa Aba, Morna, Martin Tangnaa, Nimako‐mensah, Jilac, Nkrumah, John, Nortey, Michael, Ofori, Emmaunel Owusu, Opandoh, Isabella Naa Morkor, Osei‐tutu, Ethel, Adae, Jefferson Owusu, Quansah, Kofi, Quartson, Elizabeth, Rahman, Ganiyu Adebisi, Walawah, David, Yigah, Makafui, Yussif, Safia, Jiagge, Nuna, Nachelleh, Emmanuel, Acquaye, Jane, Agbedinu, Kwabena, Agyei, Fareeda, Agyemang‐prempeh, Akosua, Amo‐antwi, Kwabena, Amoah, Michael, Amoah, George, Amoako, Yaw A, Aning, Daniel Gyawu, Ankobea‐kokroe, Frank, Mintah, Dominic Annor, Anyitey‐kokor, David, Appiah‐kubi, Adu, Arthur, Joshua, Ativor, Vincent, Barnor, Isaac, Braimah, Yasmine, Darko‐asante, Regina, Davor, Anthony, Issahalq, Mohammed Duah, Dzogbefia, Mawutor, Emile, Tano, Fiifi‐yankson, Papa, Gaveh, Valerie, Gudugbe, Senyo, Gyabaah, Solomon, Gyamfi, Frank Enoch, Gyedu, Adam, Gyimah, Derrick, Hammond, Bernard, Jonathan, Boakye‐yiadom, Joseph, Yorke, Konney, Thomas Okpoti, Konney, Anna, Kusi, Kwasi, Kyei, Ishmael, Lovi, Agbenya, Naabo, Nuhu, Nimako, Boateng, Nyadu, Beauty, Nyarko, Obed Ofori, Ofosu‐barko, Ben Blay, Oppong, Philip Peprah, Osabutey, Anita, Poku, Martha, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abass, Adam, Abdul‐mumin, Alhassan, Adjeso, Theophilus, Alatiiga, John Abanga, Amadu, Munira, Annan, Nathaniel, Leal, German Azahares, Bukari, Mohammed, Buunaaim, Alexis, Cheyuo, Ernest, Salifu, Latif Daboo, Damah, Michael, Dery, Malcolm, Dzantor, Edem Kojo, Garcia, Odoniel Guerra, Baba, Yabasin Iddrisu, Issaka, Adamu, Muntaka, Abdul‐Jalilu Mohammed, Murphy, James, Agyeman, Yaa Nyarko, Amankwaa, Wisdom Opoku, Osman, Imoro, Pie, Samuel, Seidu, Anwar Sadat, Sheriff, Mohammed, Charadan, Ana Maria Simono, Titigah, Abraham, Yahaya, Mundashiru, Yakubu, Musah, Yenli, Edwin Mwintiereh Ta‐ang, Grypiotis, Ioannis, Kiriakopoulos, Nikolaos, Koliopoulos, Georgios, Kyvelos, Vasilis, Micha, Georgia, Papadopoulou, Triada, Balalis, Dimitrios, Fradelos, Evangelos, Korkolis, Dimitrios, Alexakis, Nicholas, Angelou, Kyveli, Haidopoulos, Dimitrios, Prodromidou, Anastasia, Rodolakis, Alexandros, Thomakos, Nikolaos, Psychogios, Dimitris, Antonakis, Pantelis, Bramis, Konstantinos, Chardalias, Leonidas, Contis, Ioannis, Dafnios, Nikos, Dellaportas, Dionysios, Dimitra, Papalouka, Fragkoulidis, Georgios, Gkiokas, Georgios, Gklavas, Antonios, Hadjizacharias, Theodoros, Karageorgou, Dimitra, Konstadoulakis, Manousos, Kontopoulou, Christina, Massaras, Dimitrios, Memos, Nikolaos, Papaconstantinou, Ioannis, Politis, Dimitrios, Polydorou, Andreas, Stamatis, Konstantinos, Theodosopoulos, Theodosios, Vezakis, Antonios, Avgerinos, Konstantinos, Katunin, Jevgeni, Kechagias, Aristotelis, Kelgiorgi, Dionysia, Kritikos, Neoklis, Pengermä, Pasi, Bisdas, Theodosios, Ioannidis, Argyrios, Konstantinidis, Michael, Konstantinidou, Sofia, Patelis, Nikolaos, Antonopoulou, Maria Ioanna, Deskou, Eirini, Kalles, Vasileios, Manatakis, Dimitrios K., Stamos, Nikolaos, Tasis, Nikolaos, Arkadopoulos, Nikolaos, Danias, Nikolaos, Economopoulou, Panagiota, Frountzas, Maximos, Kokoropoulos, Panagiotis, Michalopoulos, Nikolaos, Selmani, Jonida, Sidiropoulos, Theodoros, Vassiliu, Panteleimon, Paraskevas, Kosmas I., Bartziotas, Dimitrios, Bouchagier, Konstantinos, Galanis, Ilias, Kalamatianos, Theodosis, Kapiris, Stylianos, Kolinioti, Angeliki, Mavrodimitraki, Eleni, Metaxas, Panagiotis, Nikova, Alexandrina, Psarologos, Michail, Sotiropoulou, Maria, Stranjalis, George, Albanopoulos, Konstantinos, Kondilis, Panagiotis, Vrakopoulou, Gavriella Zoi, Chrysovergis, Aristeidis, Chrysovitsiotis, Georgios, Giotakis, Evangelos, Kanellopoulou, Vasiliki, Kyrodimos, Efthymios, Larentzakis, Andreas, Pantos, Pavlos, Papanikolaou, Vasileios, Potamianos, Spyridon, Theodoropoulos, Charalampos, Triantafyllou, Alexandra, Triantafyllou, Tania, Georgousi, Kleoniki, Panagiotou, Peter, Avramidis, Emmanouil, Babis, George, Zafeiris, Evangelos, Antoniou, Afroditi, Bessias, Nikolaos, Maras, Dimitris, Papas, Theofanis, Roditis, Konstantinos, Tsagkos, Ioannis, Tsiantoula, Paraskevi, Alexandrou, Andreas, Baili, Efstratia, Charalabopoulos, Alexandros, Dimitroulis, Dimitrios, Dorovinis, Panagiotis, Garoufalia, Zoe, Kanavidis, Prodromos, Karavokyros, Ioannis, Karydakis, Lysandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Nikiteas, Nikolaos, Papalampros, Alexandros, Schizas, Dimitrios, Skotsimara, Antonia, Stamopoulos, Paraskevas, Syllaios, Athanasios, Terras, Alexis, Tomara, Nefeli, Tsourouflis, Gerasimos, Vagios, Ilias, Zografos, Constantinos, Apostolou, Konstantinos, Georgopoulos, Nikolaos, Antoniou, Theofani, Antzaka, Christina, Falara, Areti, Fragoulis, Socrates, Ftikos, Panagiotis, Matsouka, Fedra, Perreas, Konstantinos, Rellia, Panagiota, Samara, Evangelia, Smirli, Anna, Tasouli, Androniki, Thanopoulos, Apostolos, Chalkias, Petros Loukas, Dedemadi, Georgia, Mourmouris, Panagiotis, Skolarikos, Andreas, Theochari, Nikoletta, Tzelves, Lazaros, Gaitanakis, Stylianos, Milas, Theodoros, Theodorakis, Emmanuel, Karona, Paraskevi, Kastanaki, Pagona, Tzouganakis, Angelos, Agalianos, Christos, Tsouknidas, Ioannis, Xenakis, Andreas, Chrysos, Emmanuel, Lasithiotakis, Konstantinos, Nikolouzakis, Taxiarchis, Xenaki, Sofia, Xynos, Evangelos, Lostoridis, Eftychios, Nagorni, Eleni‐aikaterini, Pujante, Antonio, Tourountzi, Paraskevi, Aggeliki, Al, Baxevanidou, Kyriaki, Bouliaris, Konstantinos, Efthimiou, Matheos, Kalfountzos, Christos, Koukoulis, Georgios, Lachanas, Vasileios, Petropoulos, Konstantinos, Tsitiridis, Ioannis, Angelis, Fragkiskos, Arnaoutoglou, Eleni, Baloyiannis, Ioannis, Bareka, Metaxia, Bouronikou, Anna, Christodoulidis, Gregory, Daponte, Alexandros, Fergadi, Maria, Gkolias, Nick, Gkrinia, Eleni, Hajiioannou, Jiannis, Kalogritsas, Nikos, Karoni, Eleni, Korais, Christos, Krestinidis, Giorgos, Ktisti, Antigoni, Magouliotis, Dimitrios, Maiou, Charikleia, Malizos, Konstantinos, Minasidou, Maria, Ntalouka, Maria, Ntziovara, Anna Maria, Palla, Effrosyni, Perivoliotis, Konstantinos, Saini, Fani, Samara, Athina, Saratziotis, Athanasios, Skoulakis, Charalampos, Solomi, Efthymios, Stamoulis, Konstantinos, Terzoudis, Christos Dimitrios, Tsironi, Evangelia, Tzovaras, George, Vallianou, Kyriaki, Zacharoulis, Dimitris, Ziogkou, Anna, Δακής, Κωνσταντί__ς, Elias, Liolis, Maroulis, Ioannis, Mulita, Francesk, Plachouri, Kerasia‐maria, Vailas, Michail, Doitsidis, Charalampos, Filo, Eva, Gkalonaki, Ioanna, Kogia, Eleni, Kontopoulou, Konstantina, Mitroudi, Magdalini, Panteli, Christina, Patoulias, Ioannis, Semkoglou, Olga Ioulia, Sfoungaris, Dimitrios, Valioulis, Ioannis, υτσ_υ μης, Γι ωργος, Astreidis, Ioannis, Christidis, Panagiotis, Ioannidis, Orestis, Loutzidou, Lydia, Mantevas, Antonis, Paraskevopoulos, Konstantinos, Tatsis, Dimitris, Athanasiadis, Apostolos, Dagklis, Themistoklis, Kalogiannidis, Ioannis, Kapetanios, Georgios, Mamopoulos, Apostolos, Margioula‐siarkou, Chrysoula, Petousis, Stamatios, Tsakiridis, Ioannis, Anthoulakis, Christos, Christou, Chrysanthos, Fantakis, Antonios, Iordanidou, Eirini, Kaselas, Christos, Panagiotidou, Sousana, Papadopoulos, Vasileios, Papavasiliou, Kyriakos, Piachas, Athanasios, Siasios, Ioannis, Spyridakis, Ioannis, Theodoridis, Theodoros, Tooulias, Andreas, Tsiridis, Eleftherios, Tsopozidi, Maria, Alemán, María, Brolo, Estuardo, Lemus, Ana Lucia, Greenberg, Jennifer, Chew, Krisna Mishel Morales, Oliva, José Rodrigo, Lima, María Alejandra De León, Muralles, Ismar Lopez, Solares, Felipe, Ajcip, Gaby, Anton, Claudia, Cojulun, Jose, Flores, Mario‐andrés, José, Noriega, Paiz, Carlos Adolfo Marroquín, Morales, Steffanía, Najera, Ramiro, Lorenzana, Eduardo Quiñónez, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Ybarra, Natalia, Cajti, José David Pérez, Régil, Carlos, Osorio, Walter A, Arriola, Rember Rosales, Talé‐rosales, Luis‐fernando, Herrera, Danilo, Rodríguez, Servio Tulio Torres, Villeda, Sergio Alejandro, Anicetti, Joshua, Medina, Andrea Michelle Lowey, Ardebol, Javier, Barillas, Kathia, De Leon, Francis, Recinos, Salvador, Marroquin‐alpirez, Miguel‐angel, Yax, Yessica, Hon, Sophie, Liu, Yuk Ho, Liu, Alex Qinyang, Liu, Shirley, Chiu, Hei Tung Natalie, Chow, Chi Man Tom, Hau, Victor, Ho Wai, Ip, Mak, Brian, Mok, Chung Ying, Dennis, Ng, Siu, Yin Yu Eva, Wong, Kiu Fung, Jingya Jane, Pu, Yu‐xiong, Su, Au‐yeung, Kit Ying, Chan, David Yuen Chung, Chan, Albert, Chan, Shannon Melissa, Chang, Tsz Ching, Chiu, Tor Wo, Chiu, Wang Kei, Zhexi, He, Man Fung, Ho, Kevin Ki Wai, Ho, Jacky Yan Kit, Ho, Kung, Janet Wui Cheung, Lam, Cheuk Ho, Lau, Rainbow W. H., Ling, Samuel Ka Kin, Lok, Hon Ting, Mak, Tony Wing Chung, Chi‐fai, Ng, Simon, Ng, Kelvin Kwok‐Chai, Ng, Calvin S. 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. 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Giorgio, Fappiano, Francesca, Pacilio, Carlo Alberto, Solaini, Leonardo, D’Andrea, Giancarlo, Lavalle, Laura, Picotti, Veronica, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Diaz, Raquel, Ferrero, Simone, Fregatti, Piero, Gustavino, Claudio, Iester, Michele, Kratochwila, Chiara, Massobrio, Andrea, Pertile, Davide, Scabini, Stefano, Scovazzi, Umberto, Soriero, Domenico, Sparavigna, Marco, Traverso, Carlo, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, D’Ugo, Stefano, Depalma, Norma, Spampinato, Marcello Giuseppe, Airoldi, Angelo, Brivio, Ariberto, Chiarelli, Marco, Gibelli, Ludovica, Giulia, Bonfanti, Grandi, Samuele, Pesenti, Giovanni, Tagliabue, Fulvio, Zago, Mauro, Lenzi, Riccardo, Matteucci, Jacopo, Muscatello, Luca, Colletti, Gaia, Confalonieri, Marco Guido, Costanzi, Andrea, Frattaruolo, Colomba, Locatelli, Andrea, Monteleone, Michela, Badessi, Giorgio, Caffo, Maria, Caruso, Gerardo, Cucinotta, Eugenio, Germano, 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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Andreani, Lorenzo, Antonio, Darienzo, Aprile, Vittorio, Balestri, Riccardo, Benettini, Giacomo, Berrettini, Stefano, Bruschini, Luca, Chiarugi, Massimo, Coccolini, Federico, Colangeli, Simone, Cremonini, Camilla, Mencacci, Lodovica Cristofani, Dallan, Iacopo, De Santi, Silvia, Di Franco, Gregorio, Di Girolami, Lorena, Fiacchini, Giacomo, Furbetta, Niccolò, Korasidis, Stylianos, Lucchi, Marco, Morandi, Andrea, Morelli, Luca, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Porcelli, Francesco, Puccini, Marco, Roffi, Nicolo, Statuti, Erica, Tartaglia, Dario, Tonelli, Alberto, Vianini, Matteo, Baronio, Gianluca, Montuori, Mauro, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Maffeis, Federica, Ubiali, Paolo, Aguzzoli, Lorenzo, Coiro, Saverio, Falco, Giuseppe, Mandato, Vincenzo Dario, Mastrofilippo, Valentina, Mele, Simone, Baldi, Caterina, Corbellini, Carlo, Sampietro, Gianluca Matteo, Dugo, Massimo, Garino, Mauro, Marafante, Chiara, Masciandaro, Antonio, 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Francesco, Altana, Cristian, Bussu, Francesco, Capobianco, Giampiero, Carta, Anna Giacomina, Ciccarello, Sandro, Cossu, Maria Laura, Cottu, Pietrina, De Riu, Giacomo, Dessole, Salvatore, Dessole, Francesco, Dettori, Salvatora, Doria, Carlo, Fancellu, Alessandro, Feo, Claudio F, Ginesu, Giorgio Carlo, Giuliani, Giuliana, Iannuccelli, Marco Giuseppe, Madonia, Massimo, Mancino, Roberto, Massarelli, Olindo, Meloni, Gianfranco, Milia, Fabio, Mulliri, Andrea, Perra, Teresa, Petrillo, Marco, Piras, Antonio, Piredda, Franco, Pisanu, Francesco, Porcu, Alberto, Rizzo, Davide, Sanna, Angelino, Scanu, Antonio Mario, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Tedde, Alessandro, Tedde, Matteo, Vaira, Luigi Angelo, Pazzi, Andrea Bartalini Cinughi, Samorani, Osvaldo Carpineto, Fusario, Daniele, Marano, Luigi, Oldrà, Gaia, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Ricchiuti, Vincenzo, Roviello, Franco, Savelli, Vinno, Abrate, Alberto, Bordoni, Pierpaolo, Bosio, Lorenzo, 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Rinaldi, Mauro, Ruffini, Enrico, Salizzoni, Stefano, Bardelli, Laura, Berselli, Mattia, Borroni, Giacomo, Cocozza, Eugenio, Desio, Matteo, Elisa, Bottazzoli, Ietto, Giuseppe, Iori, Valentina, Iovino, Domenico, Livraghi, Lorenzo, Marchionini, Valentina, Megna, Stefano, Nahal, Emma Amal, Palumbo, Mara, Quintodei, Valeria, Zullo, Alessandra, D’Alimonte, Lucrezia, Pirozzolo, Giovanni, Vignotto, Chiara, Campagnaro, Tommaso, Caravati, Andrea, Conci, Simone, De Cristofaro, Carlotta, Gecchele, Gabriele, Giuliani, Tommaso, Graziosi, Jacopo, Guglielmi, Alfredo, Paiella, Salvatore, Pedrazzani, Corrado, Pollini, Tommaso, Rattizzato, Simone, Ruzzenente, Andrea, Salvia, Roberto, Turri, Giulia, Bacchion, Matilde, Butturini, Giovanni, Casaril, Andrea, Giardino, Alessandro, Impellizzeri, Harmony, Inama, Marco, Isabella, Frigerio, Moretto, Gianluigi, De Zuanni, Marco, Deiana, Enrica, Guglielmo, Mario, Broglia, Alessandro, Casarini, Claudia, Zingaretti, Caterina Costanza, Bonaldi, Marta, Cesana, Giovanni, Mastriale, Francesco, Olmi, Stefano, Fukami, Matteo Uccelli Yasuyuki, Saito, Takuya, Sano, Tsuyoshi, Hirai, Naoki, Hirota, Kazuyoshi, Kushikata, Tetsuya, Oyama, Tasuku, Saito, Junichi, Ishibashi, Katsuhiko, Kamiyama, Mizue, Son, Kyongsuk, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Aze, Chisaki, Deguchi, Yoshihiko, Hasegawa, Hirotoshi, Hoshino, Tatsuki, Innami, Yasushi, Inoue, Hiroyuki, Ito, Shingo, Nomura, Takeshi, Ogihara, Tomomi, Okada, Reina, Ouchi, Takashi, Sekiya, Yuri, Tachibana, Keikoku, Takano, Emi, Yamamoto, Masae, Matsuda, Shuko, Matsuki, Yuka, Shigemi, Kenji, Hiraki, Teruyuki, Inoue, Yui, Jotaki, Shosaburo, Abe, Tatsuro, Eto, Masatoshi, Inokuchi, Junichi, Kashiwagi, Eiji, Kinoshita, Fumio, Kobayashi, Satoshi, Lee, Ken, Matsumoto, Takashi, Monji, Keisuke, Naganuma, Hidekazu, Shiota, Masaki, Takeuchi, Ario, Obara, Shinju, Takatsuki, Saori, Tanaka, Saori, Iida, Koji, Kagawa, Kota, Neshige, Shuichiro, Chaki, Tomohiro, Hirata, Naoyuki, Kazuma, Satoshi, Kimizuka, 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Mieko, Hirano, Kouichi, Kobayashi, Yoichi, Matsuki, Ryota, Matsumoto, Hironori, Motoyasu, Akira, Nakazawa, Harumasa, Noguchi, Hikari, Okamura, Kaio, Ono, Motoaki, Seki, Hiroyuki, Sunami, Eiji, Tajima, Atsushi, Tanigaki, Shinji, Uzawa, Kohji, Watanabe, Hidenobu, Furuhata, Yukari, Toyama, Satoshi, Uchida, Tokujiro, Enomoto, Yutaka, Furukawa, Yuri, Hasumi, Yoko, Hirota, Jinso, Iida, Katsuyuki, Ikeda, Shingo, Ikeda, Tatsuhiko, Kawamata, Natsuko, Kawasaki, Yosuke, Koizumi, Minako, Kono, Yoshiharu, Kuzuhara, Shigeki, Maeda, Junichi, Moriyama, Mai, Nagamoto, Shoichi, Nakanishi, Rinako, Noda, Michio, Seichi, Atsushi, Takahashi, Shintaro, Takashi, Kobayashi, Takeda, Misuzu, Tanakura, Kenta, Terajima, Katsuyuki, Tsuji, Munechika, Ueshima, Chiharu, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Yuri, Sakoh, Iwata, Shintaro, Kawai, Akira, Osaki, Shuhei, Ishikawa, Masashi, Iwasaki, Masae, Morita, Tomonori, Hirooka, Reina, Nakata, Yoshinori, Sawamura, Shigehito, Ishida, Yusuke, Kawachi, Aya, Kobayashi, Takayuki, Nagashima, Fumiaki, Suzuki, Naoki, Ando, Kohei, Miyazawa, Noriko, Tanaka, Yukio, Abuissa, Khatab, Aljabali, Alaa, Almasri, Amal, Alrabadi, Mera, Alshara, Rana, Alzghoul, Yasmeen, Alzughoul, Ahmed, Freihat, Ali, Jeitan, Emran, Owais, Qais, Smadi, Aseel, Abukhadra, Mahmoud, Abunawas, Huthifa, Al‐azzam, Abdallah Ahmed Mezel, Aladaileh, Ammar, Albadawi, Ismail, Alhawatmeh, Mohammad, Alkhaza’Leh, Mohannad Yaser, Alneimat, Roaa Salem Jwaid, Alwahedy, Saba, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, El‐qawaqzeh, Khaled, Hrerat, Tarteel, Jaradat, Enas, Mubaydeen, Teeba, Sarayrah, Husam, Tarawneh, Mohammad Abdel Elah A., Karasneh, Mohammad Yousef, Zurgan, Amany, Alassaf, Mohammad, Alzraikat, Sayel H., Amarin, Justin Z., Hijjawi, Ahmed, Suradi, Haya H., Zaghlol, Louay Y., Abdalah, Ahmad, Abdallah, Ghaida, Tarieh, Ammar Abu, Abu‐libdeh, Tareq, Abualteen, Faisal, Al Abdallah, Murad, Al Bdour, Zakaria, Al Dahabrh, Seif, Al‐kasaji, Farah, Ali, Zaid Al‐sheikh, Al‐thaher, Mohammad, Alnajjar, Tareq, Alqedrh, Mohannad, Alsaleh, Mohammad, Alzaatreh, Mohammad, Amayreh, Ghandi, Ayasra, Yazeed, Eid, Ahmad, Ghayada, Ibrahim, Moh’d Ahmed Hasanein, Khaled, Hassouneh, Anas, Hijazeen, Raid, Hmeidan, Majedah, Khaled, Ahmed, Khasawneh, Barihan, Kifayeh, Omar, Lafi, Yasser, Seba, Jasem, Semrin, Qusai, Sma, Fda, Theab, Mohammad, Tumeh, Haitham, Zaid, Muna Aba, Abazeed, Alaa, Abbad, Bader, Abbadi, Osaid, Abu‐ishkerih, Nizar, Al‐osta, Malk, Al‐zyadat, Reham, Alawneh, Bashar Omar Falah, Alhattab, Majd, Alkurdieh, Mohd Mujahed, Awwad, Ziad, Hammouri, Mohammad, Hussein, Hamzeh, Khader, Sereen, Khalil, Mariam, Mansour, Omar, Othman, Ahmad, Qandeel, Haitham, Saleem, Mohammad, Souri, Fouad, Tahboub, Ahmad, Tayyem, Raed, Abdallah, Munir, Abdel‐hafez, Ibrahim, Obead, Hamza Abu, Abudari, Hadeel, Abuhamour, Ehab, Abusadah, Samer, Al‐azzeh, Nimer, Al‐adwan, Sofian, Al‐darabah, Ali, Al‐qannas, Mohammad, Albaba, Basil, Alradawneh, Qutaiba, Amaireh, Mohammad, Ashour, Subhi, Chabaan, Reem, Eskander, Ammar, Fawzi, Ahmad, Haij, Manal, Hamad, Hisham, Hamdan, Haya, Hamss, Ahmed, Hassouneh, Esraa, Hyasat, Ayah, Ibrahim, Zainab, Jamaliah, Saja, Khalil, Mohammed, Massad, Anas, Mohamed, Ishak, Qandeel, Mahmoud, Qasrawi, Dalia, Raggad, Mahmoud, Rifai, Ebaa, Semreen, Nedal, Shehada, Reham, Shorman, Marwan, Al‐shibi, Abdallah, Alsa’Afin, Shatha, Bani‐hani, Morad, Nimer, Bahaa, Nofal, Sandra, Qaraqe, Layth, Salameh, Mohammed, Saleh, Ma’Moun, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Yaghmour, Jamal, Zaza, Sabri, Alhindi, Rahaf, Baninasr, Eman, Al‐masri, Mahmoud, Al‐najjar, Hani, Alawneh, Fade, Al‐latayfeh, Motasem, Al‐shudifat, Abdel‐ellah, Ahmad, Abd Almonem Shaikh, Abdeljalil, Abdelkarim, Abdelrahman, Haneen, Abdulmalek, Abdulmalek, Abedalqader, Lina, Abed, Laith Abu, Al Smadi, Omar, Alarood, Salameh, Allouzi, Mohammad, Almansour, Maha, Almi’Ani, Sari, Alsaiad, Abdulhakim, Alshaikh, Khaled, Androus, Farah, Awbakh, Mirna, Azzam, Belal, Yasin, Hammam Bany, Daoud, Maher, Dawod, Lujain, Dawod, Omar, Elmusa, Reem, Fadli, Saba, Hammad, Farah, Hunaiti, Majd, Muhtaseb, Mahmoud, Owaimer, Rawan, Qulaghassi, Zaki, Romman, Saleh, Saket, Rawand, Sharawi, Said, Tawalbeh, Alaa, Al‐howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Za’Nouneh, Faris Jamal Abu, Al DHOUN, Sajedah, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al Shraideh, Ayah Ahmad, Al‐dabaa, Tawfik, Al‐jarrah, Salsabeel, Al‐jarrah, Hothaifa, Al‐othman, Hadeel, Alaradi, Zuhair, Alshannaq, Qutaiba, Alsulaiman, Rima, Alzaqh, Motasem, Alzu’Bi, Yazan, Audat, Ziad, Bahhour, Mohammad, Bdour, Saja, Khatatbeh, Roa, Marji, Fares, Mazahreh, Tagleb, Nail, Dina, Nuseir, Amjad, Rabab’Ah, Asmaa, Sawadi, Taher, Zidan, Ghina, Muhfouz, Dima Abu, Nael, Abdullah, Qasim, Ahmad, Al‐jarrah, Amar, Rawagah, Faisal, Abu Ismail, Dima Y, Al‐dolat, Wedad, Alzoubi, Mai, Alzoubi, Malak, Alzu’Bi, Mu’Taz, Asha, Ruba, Guboug, Ali, Hussein, Hasan, Rawashdeh, Shireen, Sanwar, Mohammad, Ababneh, Adnan, Abu‐eisheh, Basil, Alhami, Haneen Ahmad, Al Dwairi, Saif Aldeen, Al Shurman, Hana’, Al Yahya, Zakaria, Al‐atiyah, Hussam, Al‐balas, Hasan, Aljaiuossi, Anas, Alqawasmi, Shatha, Alqudah, Sadeel, Alshourman, Mahmoud, Hamad, Abdulsalam Bani, Issa, Anas Bany, Ennab, Raed, Hamdoni, Sara, Hijazi, Zaid, Khafaja, Ali, Mraiyan, Mohamed, Obeidat, Riyad, Olaywah, Dina, Qudah, Mohamad, Talal, Mhamdd, Aidarov, Askar, Sarmenova, Aisulu, Kodasbaev, Almat, Sakhov, Orazbek, Tanabayeva, Shynar, Amrayev, Sultan, Dzhumabekov, Berik, Malgazhdarov, Maulen, Tezekbaev, Kanat, Kukubassov, Yerlan, Satanova, Alima, Mwachiro, Michael, Parker, Robert, Simel, Ian, Mohammedali, Shamshuddin, Mwaria, Claude, Obure, Ralph, Shah, Sayed Shah Nur Hussein, Hirani, Chetan, Kibunyi, Muthoni, Mailu, Claire, Mwangi, Victor, Ogenya, Roy, Osea, Lydia, Cheruiyot, Davies, Hirsi, Omar, Muiru, Carolyne, Wanjara, Samuel, Kim, Chang Woo, Lee, Suk Hwan, Almulla, Ahmad, Dashti, Mustafa, Elghany, Omar, Sultan, Abdullah, Al‐mahmeed, Husain, Alabbad, Jasim, Albader, Ibtisam, Aldalal, Shuaib, Baba, Mahdi, Abdulsalam, Fareed, Alhajri, Naser, Alwael, Athari, Ayele, Brook, Marie, Hatem, Zaitoun, Ahmed, Alali, Ahmad M., Alkhamis, Ahmed, Alozairi, Ous, Almazeedi, Sulaiman, Alsabah, Salman, Abdelkarim, Mostafa, Al Rashed, Asmaa, Al Subaie, Saud, Al‐shaiji, Tariq, Al‐terki, Abdullatif, Alhunaidi, Omar, Aljewaied, Ali, Alzamel, Khaled, Farag, Ahmed, Hayati, Hussein, Termos, Salah, Wood, Sarah, Al‐gilani, Maha, Al‐sihan, Mutlaq, Alotaibi, Haifa, Lobovs, Dmitrijs, Pcolkins, Andrejs, Sivins, Armands, Apse, Ingus Arnolds, Berga, Annija Evelīna, Ivanova, Anna, Demicevs, Jevgenijs, Ivanovs, Igors, Kaminskis, Aleksejs, Opincans, Janis, Pāvulāns, Jānis, Rudzāts, Agris, Udre, Anna, Dbouk, Samer, Farfour, Imadeddine, Rakka, Mohamad, Antonios, Ingrid, El Hage, Joe, Hage, Stephanie, Haiby, Lea, Kahi, Hiba, Lichaa, Anthony, Moussa, Rita Milan, Salameh, Michel, Sarkis, Riad, Albaini, Obey, Haykal, Tony, Safadi, Bassem, Abou‐abbass, Hussein, Al Makari, Reem, Al Zein, Zeina, Baidoun, Mariam, Itani, Rania, Owiedat, Mustafa, Abdel Sater, Ali H., Akl, Michel, Badran, Nour, El Mustapha, Sara, Fatouh, Fathallah, Ghoussoub, Youssef, Saad, Nader, Serhan, Fatima, Souleiman, Bassem, Alame, Walid, Ghiya, Peter, Ibrahim, Firas, Abdallah, Rasha, Kassab, Mohamad B., Karout, Samar, Aya Abdul, Al, Chaaban, Hilal, Fakih, Ghinwa, Haj‐ibrahim, Huzifa, Awad, Rabih, El Assaad, Hadi, Alfeqeeh, Ahmed, Muftah, Hosam, Abdulrahman, Taha, Ahseen, Naeimah, Abunaaja, Hayat Omar, Abdulmalik, Abdulmuez, Al Gasi, Abd El Jawad, Alsaeiti, Sara, Elkhafeefi, Fatimah, Elrefai, Nasre, Ahmad, Rofida, Alhouni, Tarek, Alkarky, Safya, Alkeelani, Hana, Alkuwafi, Rauoof, Benhariz, Rema, Bettamer, Nagat, Busarira, Musa, Bushaala, Hassan, Diryaq, Tariq, Elbargathe, Osama, Eldarat, Tarik, Elfadli, Mustafa, Elfitori, Jamael, Elmahgoub, Asma, Elsahti, Reem, Hassan, Yosef, Hussain, Fathi, Mirsal, Taha, Mohammed, Marwa, Saad, Ebtesam, Hadad, Haifaa Il, Mosabha, Mostafa, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Hamed, Mona, Khel, Samer, Omar, Sana, Yousef, Rowaida, Abdelmalik, Abubaker, Abosnaina, Yahya, Abuhlaiga, Ma’Aly, Abushahma, Ahmed Omar, Aldelensi Alzubi, Alhosen Saleh M, Aljanfi, Asma, Alnehum, Mohamed Alnaser, Alzedam, Ahmad, Delhen, Malik, Maderi, Galia, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Jahan, Alhadi, Jahan, Abdussalam, Alazabi, Basma, Alezabi, Bahauldin, Alazabi, Mona Masaud Amro, Egdeer, Amin Salem Ahmed, Sefi, Fatma, Kamoka, Elhusain, Salamah, Abdulrauf, Abdalhadi, Alya, Abdeewi, Saedah, Alhadad, Marwah, Awrayit, Ahmed, Eshnaf, Mabroka, Yahmad, Mohammad, Abudher, Abdulhafid, Elamin, Faisl, Abojeila, Farah, Aliwa, Mohamed, Jouira, Rayet Al Islam Ben, Shagour, Sana, Altobal, Ahmed, Aljuroushi, Omar, Almadani, Hadeel, Attia, Hajer, Eljali, Amal Sharif, Emran, Ayyah, Omar, Mabruka, Salim, Radhwan, Samer, Ashraf, Abulshuwashi, Nayrouz Abdullah, Ben Khalifa, Emadeddin T M, Benabdalla, Hdaya Abdalla S, Elnageh, Hatem, Hammad, Ali, Abdullah, Duha Milad, Abusalem, Marwa, Esmael, Esraa Ben, Benmasoud, Fatma, Debri, Laila, Elmokhtar, Randa, Sheta, Manal Ezeddin Kamel, Elhabashi, Bushra Sayeh Mohamed, Younis, Balkees, Elmabrouk, Amna, Momen, Ahmed, Alzoubi, Abdalrahem Essied Alzubi, Ayad, Kusay, Hasan, Ameerah Mahdi Abraheem, Musrati, Fawzie, Abusannoga, Malek, Malek, Ans, Ajaj, Hatem, Abdulwahed, Eman, Aboubeirah, Mohammed, Alqurpaa, Aya, Alshareea, Entisar, Aribi, Sarra, Aribi, Tomather, Biala, Marwa, Ghamgh, Reem, Issa, Mohannned, Lamari, Amani Hamid, Mufth, Mohammed, Abboud, Omar Sudig, Hallalah, Muad Fathi Khalleefah Abu, Abumahara, Saleh, Aburima, Sarah, Adrees, Mohammed, Ahtash, Abdurahman, Al Shukri, Asmaa, Alameen, Hind, Alarabi, Rehab, Alarabi, Alarabi, Alelwany, Aisha, Alesmail, Abdulkarim, Algadi, Noran, Almaqrahi, Khuloud, Alosta, Hadel, Alsharedi, Mohamed, Bashir, Rasha, Ghrema, Mahmoud Ben, Nour, Sari Bin, Elbarouni, Sofian, Elhadi, Ahmed, Elkhadar, Abdulmohimen A, Elkouba, Esraa, Elmsherghi, Nabiha, Gammoudi, Abdulmohimen, Ghariba, Abdulraouf, Gjam, Fatima Zayed, Haidar, Arwa, Helal, Hala, Huwaysh, Mohammed, Alhadheeri, Ahmed Khalid, Kriem, Eslam, Osman, Halim, Ossman, Mohamed Ali, Shilfeet, Marwah, Turshani, Laila, Albishty, Nouran, Alhadi, Abdulmueti, Ali, Salem, Altoumi, Manal Ahmed, Bahroun, Sumayyah Ghayth, Younes, Eman, Atarabulsi, Hana, Elshaibi, Mohamed, Othman, Abdullmujeeb, Hasan, Hayat Ben, Hasan, Najat Shaban Ben, Hasan, Rabab Shaban Ben, Barauskas, Vidmantas, Dainius, Edvinas, Dambrauskas, Zilvinas, Dauksa, Albertas, Dekeryte, Inga, Gudaityte, Rita, Jasaitis, Kristijonas, Koženiauskaitė, Akvilė, Krasauskas, Virgilijus, Lukosiute‐urboniene, Ausra, Maleckas, Almantas, Riauka, Romualdas, Šlenfuktas, Vygintas, Svagzdys, Saulius, Urbonas, Kestutis, Vanagas, Tomas, Venclauskas, Linas, Venskutonis, Donatas, Zilinskas, Justas, Ambrazevicius, Marijus, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Eismontas, Vitalijus, Jurgaitis, Jonas, Mikutaitis, Vytenis, 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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, 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(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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A., Workneh, W., Genetu, S., Mebratu, E., Chanyalew, L., Deresse, T., Girma, A., Seid, M., Shimelash, D., Shitaw, A., Ayalew, T., Diress, T., Kassahun, B., Kassaye, B., Mulugeta, E., Tesfaw, G., Yimenu, B., Benecha, S., Aman, M., Mekete, A., Tesemma, A., Mohammed, A. A., Abdullahi, Y. Y., Adem, E., Ahmedin, M., Assefa, Y., Ayde, F., Berhe, A., Gebremeskel, Z., Siyoum, E. G., Teresa, S., Wude, Z., Yemer, F., Yohannes, D., Zeleke, E., Zerihun, G., Degefe, D. W., Derilo, H. T., Eliyas, N., Bayissa, F., Deressa, Y., Gemechu, L., Gurmu, T., Kasaye, A., Melese, L., Muleta, L., Mulugeta, G., Taye, S., Teshome, A., Tesso, B., Gebrekirstos, G., Haile, M., Kassa, H., Saddik, M., Mengist, A., Heikkinen, J., Helminen, O., Huhta, H., Kotkavaara, T., Mosorin, M. -A., Pitkanen, J., Qian, C., Sinikumpu, J., Sova, H., Tastula, M., Virta, V. 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M., Salle, H., Taibi, A., Tricard, J., Usseglio, J., Chopinet, S., Gregoire, E., Delpont, M., Blanchard, C., Crenn, V., de Vergie, S., Denis, W., Fragnaud, H., Regenet, N., Rigaud, J., Varenne, Y., Anract, P., Barat, M., Biau, D., Dautry, R., Dohan, A., Idier, L., Lang, E., Thouny, C., Tzedakis, S., Audenet, F., Cazelles, A., Chamouni, A., Karoui, M., Mejean, A., Clermidi, P., Langlais, T., Leonelli, L., Maisonneuve, E., Nicolas, B., Perrot, O., Prost, D., Thomin, A., Thouement, T., Athiel, Y., Berry, R., Boddaert, G., Bonnet, S., Cathala, N., Conso, C., Denet, C., Laforest, A., Levy-Zauberman, Y., Macek, P., Mombet, A., Ollat, D., Scamporlino, A., Zadegan, F., Amine, C. A., Baratte, B., Chartier-Kastler, E., Chereau, N., Colas, P. -A., Duquesne, I., Genser, L., Petit, G. 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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. 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V., Diamantis, A., Fichter, A., Grill, F., Heck, M., Jira, D., Kallmayer, M., Koll, F., Luhne, S., Meyer, B., Patachia, R., Pergolini, I., Safi, S., Schaffer, C., Schirren, M., Wegmann, H., Wirth, M., Zhu, Z., Aghamaliyev, U., Almaghrabi, M., Bocker, W., Bruder, J., Frank, K., Herterich, V., Huber, V., Ilmer, M., Kammerlander, C., Neuerburg, C., von Ehrlich-Treuenstatt, V. H., Werner, J., Borner, N., Fegg, F., Hartmann, D., Ladurner, R., Liokatis, P., Patzer, K., Schlager, J. G., Smolka, W., Zimmermann, P., Hatz, R., Steinhart, D., Glowalla, C., Schneidmueller, D., Henkel, K. W., Steiner, M., Holz, K., Knorr, C., Kuehlmann, B., Oikonomou, K., Prantl, L., Flurschutz, R., Honarpisheh, H., Kroger, M., Lepiorz, D., Luths, C., Niemeier, A., Sras, Y., Strate, T., Winter, T., Freiman, T., Gessler, F., Won, S. -Y., Widyaningsih, R., Hoffmann, S., Schafer, R. C., Thiel, J. T., Bertolani, E., Steidle, C., Uberruck, L., Yurttas, C., Ziegler, P., Zimmermann, A., Bolenz, C., Dayan, D., Greve, J., Hoffmann, T. K., Janni, W., Lobig, N., Schochter, F., Vahl, J. M., Wezel, F., Greif, V., Schmidbauer, S., Marsch, I., Schneider, R., Boenicke, L., Degener, S., Dreger, N. M., Horstmeier, F. C., Kruschwitz, J., Rombach, A., Schmidt, N., Seiberth, R., Singh, J., Smit, M., von Rundstedt, F. -C., Zirngibl, H., Diessner, J., Friedrich, S., Germer, C. -T., Helmer, P., Herrmann, J., Kranke, P., Kubler, H., Lock, J., Lotz, C., Meffert, R., Meybohm, P., Muller, S., Notz, Q., Popp, M., Schlegel, N., Schlesinger, T., Schmid, B., Sitter, M., Steinisch, A., Treutlein, A., van den Berg, A., Wurmb, T. E., Agyeman-Duah, N. K., Appiah, E., Armah, R., Asare, C., Awere-Kyere, L., Daary, D., Gakpetor, D., Allah, S. M., Obbeng, A., Osei-Poku, D., Puozaa, D., Tackie, E., Adu-Aryee, N. A., Agboadoh, N., Asare, O., Bowan, A. B., Brown, G. D., Clegg-Lamptey, J. -N., Dedey, F., Dery, C., Fenu, B. S., Harrison, M. A., Kumassah, P., Kuuzie, E., Nsaful, J., Olayiwola, D. O., Smith, C., Banka, C., Hussey, R., Azize, D. A., Aniakwo, L. A., Adofo-Asamoah, Y., Agbeno, E. K., Agyapong, M. M., Agyen, T., Mensah, K. A., Alhassan, B. A. B., Amoako-Boateng, M., Appiah-Thompson, P., Gyimah, N. A. -M., Asante-Bremang, M., Asante-Asamani, A., Atawurah, H., Appiah, A. B., Baidoo, R. O., Baidoo, E. I., Boakye, B., Boateng, A., Dadoe, D., Dayie, M. S. C. -J. K., Debrah, S., Doku, K., Enti, E., Ken-Amoah, S., Koggoh, P., Kpangkpari, R., Maison, P., Mensah, S., Mensah, P., Mensah, T. A., Morna, M. T., Nimako-Mensah, J., Nkrumah, J., Nortey, M., Ofori, E. O., Opandoh, I. N. M., Osei-Tutu, E., Adae, J. O., Quansah, K., Quartson, E., Rahman, G. A., Walawah, D., Yigah, M., Yussif, S., Jiagge, N., Nachelleh, E., Acquaye, J., Agbedinu, K., Agyei, F., Agyemang-Prempeh, A., Amo-Antwi, K., Amoah, M., Amoah, G., Amoako, Y. A., Aning, D. 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T. -A., Grypiotis, I., Kiriakopoulos, N., Koliopoulos, G., Kyvelos, V., Micha, G., Papadopoulou, T., Balalis, D., Fradelos, E., Korkolis, D., Alexakis, N., Angelou, K., Haidopoulos, D., Prodromidou, A., Rodolakis, A., Thomakos, N., Psychogios, D., Antonakis, P., Bramis, K., Chardalias, L., Contis, I., Dafnios, N., Dellaportas, D., Dimitra, P., Fragkoulidis, G., Gkiokas, G., Gklavas, A., Hadjizacharias, T., Karageorgou, D., Konstadoulakis, M., Kontopoulou, C., Massaras, D., Memos, N., Papaconstantinou, I., Politis, D., Polydorou, A., Stamatis, K., Theodosopoulos, T., Vezakis, A., Avgerinos, K., Katunin, J., Kechagias, A., Kelgiorgi, D., Kritikos, N., Pengerma, P., Bisdas, T., Ioannidis, A., Konstantinidis, M., Konstantinidou, S., Patelis, N., Antonopoulou, M. I., Deskou, E., Kalles, V., Manatakis, D. K., Stamos, N., Tasis, N., Arkadopoulos, N., Danias, N., Economopoulou, P., Frountzas, M., Kokoropoulos, P., Michalopoulos, N., Selmani, J., Sidiropoulos, T., Vassiliu, P., Paraskevas, K. I., Bartziotas, D., Bouchagier, K., Galanis, I., Kalamatianos, T., Kapiris, S., Kolinioti, A., Mavrodimitraki, E., Metaxas, P., Nikova, A., Psarologos, M., Sotiropoulou, M., Stranjalis, G., Albanopoulos, K., Kondilis, P., Vrakopoulou, G. Z., Chrysovergis, A., Chrysovitsiotis, G., Giotakis, E., Kanellopoulou, V., Kyrodimos, E., Larentzakis, A., Pantos, P., Papanikolaou, V., Potamianos, S., Theodoropoulos, C., Triantafyllou, A., Triantafyllou, T., Georgousi, K., Panagiotou, P., Avramidis, E., Babis, G., Zafeiris, E., Antoniou, A., Bessias, N., Maras, D., Papas, T., Roditis, K., Tsagkos, I., Tsiantoula, P., Alexandrou, A., Baili, E., Charalabopoulos, A., Dimitroulis, D., Dorovinis, P., Garoufalia, Z., Kanavidis, P., Karavokyros, I., Karydakis, L., Kykalos, S., Kyros, E., Machairas, N., Mastoraki, A., Nikiteas, N., Papalampros, A., Schizas, D., Skotsimara, A., Stamopoulos, P., Syllaios, A., Terras, A., Tomara, N., Tsourouflis, G., Vagios, I., Zografos, C., Apostolou, K., Georgopoulos, N., Antoniou, T., Antzaka, C., Falara, A., Fragoulis, S., Ftikos, P., Matsouka, F., Perreas, K., Rellia, P., Samara, E., Smirli, A., Tasouli, A., Thanopoulos, A., Chalkias, P. L., Dedemadi, G., Mourmouris, P., Skolarikos, A., Theochari, N., Tzelves, L., Gaitanakis, S., Milas, T., Theodorakis, E., Karona, P., Kastanaki, P., Tzouganakis, A., Agalianos, C., Tsouknidas, I., Xenakis, A., Chrysos, E., Lasithiotakis, K., Nikolouzakis, T., Xenaki, S., Xynos, E., Lostoridis, E., Nagorni, E. -A., Pujante, A., Tourountzi, P., Al, A., Baxevanidou, K., Bouliaris, K., Efthimiou, M., Kalfountzos, C., Koukoulis, G., Lachanas, V., Petropoulos, K., Tsitiridis, I., Angelis, F., Arnaoutoglou, E., Baloyiannis, I., Bareka, M., Bouronikou, A., Christodoulidis, G., Daponte, A., Fergadi, M., Gkolias, N., Gkrinia, E., Hajiioannou, J., Kalogritsas, N., Karoni, E., Korais, C., Krestinidis, G., Ktisti, A., Magouliotis, D., Maiou, C., Malizos, K., Minasidou, M., Ntalouka, M., Ntziovara, A. M., Palla, E., Perivoliotis, K., Saini, F., Samara, A., Saratziotis, A., Skoulakis, C., Solomi, E., Stamoulis, K., Terzoudis, C. D., Tsironi, E., Tzovaras, G., Vallianou, K., Zacharoulis, D., Ziogkou, A., Elias, L., Maroulis, I., Mulita, F., Plachouri, K. -M., Vailas, M., Doitsidis, C., Filo, E., Gkalonaki, I., Kogia, E., Kontopoulou, K., Mitroudi, M., Panteli, C., Patoulias, I., Semkoglou, O. I., Sfoungaris, D., Valioulis, I., Astreidis, I., Christidis, P., Ioannidis, O., Loutzidou, L., Mantevas, A., Paraskevopoulos, K., Tatsis, D., Athanasiadis, A., Dagklis, T., Kalogiannidis, I., Kapetanios, G., Mamopoulos, A., Margioula-Siarkou, C., Petousis, S., Tsakiridis, I., Anthoulakis, C., Christou, C., Fantakis, A., Iordanidou, E., Kaselas, C., Panagiotidou, S., Papadopoulos, V., Papavasiliou, K., Piachas, A., Siasios, I., Spyridakis, I., Theodoridis, T., Tooulias, A., Tsiridis, E., Tsopozidi, M., Aleman, M., Brolo, E., Lemus, A. L., Greenberg, J., Chew, K. M. M., Oliva, J. R., Lima, M. A. D. L., Muralles, I. L., Solares, F., Ajcip, G., Anton, C., Cojulun, J., Flores, M. -A., Jose, N., Paiz, C. A. M., Morales, S., Najera, R., Lorenzana, E. Q., Rivera, P., Rodas, L., Santos, V., Sosa, D., Ybarra, N., Cajti, J. D. P., Regil, C., Osorio, W. A., Arriola, R. R., Tale-Rosales, L. -F., Herrera, D., Rodriguez, S. T. T., Villeda, S. A., Anicetti, J., Medina, A. M. L., Ardebol, J., Barillas, K., De Leon, F., Recinos, S., Marroquin-Alpirez, M. -A., Yax, Y., Hon, S., Liu, Y. H., Liu, A. Q., Liu, S., Chiu, H. T. N., Chow, C. M. T., Hau, V., Ip, H. W., Mak, B., Mok, C. Y., Ng, D., Siu, Y. Y. E., Wong, K. F., Pu, J. J., Su, Y. -X., Au-Yeung, K. Y., Chan, D. Y. C., Chan, A., Chan, S. M., Chang, T. C., Chiu, T. W., Chiu, W. K., He, Z., Ho, M. F., Ho, K. K. W., Ho, J. Y. K., Kung, J. W. C., Lam, C. H., Lau, R. W. H., Ling, S. K. K., Lok, H. T., Mak, T. W. C., Ng, C. -F., Ng, S., Ng, K. K. -C., Ng, C. S. H., Ong, M. T. Y., Tan, T., Tang, S. F., Teoh, J. Y. -C., Teoh, A., Tsui, B. S. Y., Wong, G. K. C., Wong, R., Wong, K. C., Yee, C. H., Antal, Z., Kalman, A., Voros, P., Bahrehmand, K., Echim, T., Novak, Z., Sztipits, T., Bihari, L. A., Hidi, L., Piros, L., Rozsa, B., Sotonyi, P., Szatai, L., Herczeg, G., Pordany, B., Tornyi, F., Dede, K., Egyed, T., Saftics, G., Kulcsicka-Gut, J., Sipos, Z., Toth, D., Patel, B., Majmudar, H., Mankad, S., Pathan, S., Sharathkumarkl, L., Sasatti, L., Mahankali, S., Annayappa, S. K. S., Agrawal, T., Anandan, P., Baindur, A., Bd, M., Savitha, C., Anitha, G. S., Harigond, S., Tejeswini, K. K., Kesarla, V., Manangi, M., Hareesh, P. B., Ranjan, J. K. R., Shetty, A., Chikkanayakanahalli, S. S., Sunil, T., Syamala, S., Tharanath, K., Atal, A., Rajagopal, N., Srinath, B. S., Nk, V., Thirumanikandan, P. L., Mishra, N., Shrivastava, S., Wadhwani, R., Ahmad, R., Haq, Z. A., Behera, P., Dhurwe, R., Haq, R., Jain, V., Karna, S., Pushpalatha, K., Raj, S., Santoshi, J. A., Singh, P., Verma, V., Waindeskar, V., Yadav, M. S., Aziz, Z., Chakraborty, K., Chappity, P., Das, G., Datta, D., Jena, S. K., Kar, M., Khuntia, S., Kumar, P., Kumar, R., Kv, A., Mishra, A., Mishra, S., Mittal, Y., Muduly, D., Panda, R., Panigrahi, S., Parija, S., Patra, S., Rout, B., Sahu, R., Sarkar, S., Singh, S., Sudha, S., Sultania, M., Tripathy, S., Varghese, P., Kansay, R., Kaushik, R., Gupta, S. K., Khare, S., Kumar, V., Mohindra, S., Patil, N., Salunke, P., Savlania, A., Singh, K., Pradeep Krishna, R. V., Narasimhan, G., Rela, M., Appukuttan, A., Goudar, S., Mallick, S., Titus, C., Chidambarasamy, E. S., Madhavan, D., Murugesan, A., Narayanasamy, K., Barani Kumar, P. B., Rajan, F., Vijayaragavan, P., Borthakur, B., Chauhan, T. S., Govil, A., Hanjoora, V. M., Srivastava, A., Tiwari, S., Vishwani, V., Pendyala, K. S., Prasad, N., Bothra, J., Deb, M., Herle, K., Jayaram, H., Kannaiyan, L., Krithiga, A., Mukta, W., Nagpal, P., Pathak, P., Banerjee, S., Chaudhary, R., Choudhary, G. R., Chugh, A., Dixit, P., Elhence, A., Gahlot, N., Garg, M., Ghuman, N. K., Jha, D., Kala, P., Kaur, A., Madduri, V., Pandey, H., Pareek, P., Pathak, M., Rathod, K. J., Rodha, M. S., Saxena, R., Sharma, N., Shekhar, S., Singh, M., Suryanarayanan, B., Vishnoi, J. R., Amin, S., Sharma, T., Murugesan, K., Ramasamy, A. B. S., Chatterjee, D., Gerber, C. G., Naskar, U., Aggarwal, G., Agrawal, S. K., Jain, P., Jain, D., Kewlani, V., Pipara, A., Priya, N., Raja, R., Shakya, S., Thambudorai, R., Kharkongor, D., Akhtar, N., Anand, A., Asnani, M., Chaturvedi, A., Chaurasia, A., Enny, L. E., Garg, S., Jaiswal, A. K., Jaiswal, S., Jaware, Y., Kala, N., Karnatak, R., Kumar, U., Shrivastava, A. K., Mehrotra, S., Mishra, B., Namrata, Ojha, B. K., Ozair, A., Pal, U. S., Pandey, A., Raja, N., Ramakant, P., Roy, A., Sachan, R., Sankhwar, S., Sankhwar, P., Sarin, D., Shukla, A., Singh, K. R., Singh, R., Singh, U., Solanki, V., Sonkar, A. A., Srivastava, C., Suryawanshi, P., Tewarson, V., Verma, R., Verma, M. L., Yadav, A., Chand, G., Chanthar, K. M. M. V., Hoysal, D., Batra, N., Bhatti, A., Chopra, R., David, S., Dhar, T., Dutt, U. K., Dutta, R., Gandhi, S., Haque, P. D., Paul Sudhakar John, B., Veetil, S. K., Kaur, G., Kumar, N., Luther, A., Mahajan, A., Mandrelle, K., Mathews, S., Michael, V., Mukherjee, P., Pargal, P., Paul, R., Phillip, A., Phillips, R., Samuel, A., Singh, N., Singh, I., Singh, A., Grewal, S. S., Singhania, A., Thirumalai, S., Varghese, A., Wesley, J., Thomas, J., Zechariah, P., Ifthikar, M. A., Mathew, R. T., Shetty, R., Vijaykumar, M. V., Hameed, B. M. Z., Ibrahim, S., Jyothish, G., Krishna, S., Mathew, S., Kumar, A. S., Sinha, P. K., Sridhar, R., Agarwal, S., Balasubramaniam, S., Chhatrapati, S., Deshpande, C., Dharia, A., Fernandes, S., Gore, M., Jayakumar, A., Mhamane, R., Nirgude, A., Parab, S., Patil, M., Peswani, A., Sahu, A., Samel, S., Shah, F., Haridas, D., Shetty, V., Abraham, B., Agarwal, V., Ahmad, Q., Asari, A., Attar, M. I., Ayyalasomayajula, N. S., Bachawat, S., Bachhav, S., Badhe, V., Badhwar, S., Basa, V. I. K. A. S., Bothara, V., Chattopadhyay, S., Chaudhari, S., Chavan, R., Chawathe, P., Dadhich, S., Dalal, A., Date, A., Deshpande, M., Dev, P., Dongre, N., Doshi, A., Gade, M., Gajjar, S., Gawande, M., Ghalme, A., Ghugare, B., Gupta, I., Jain, M., Jenasamant, S. S., Joshi, V., Kalwadia, N., Kapadia, N., Kattana, H. B. R., Kaushik, T., Kayal, A., Kovale, S., Kulkarni, Y., Kumar, K., Kumawat, K., Lad, V., Maskara, N., Mistry, R., Mohanty, S. R., Motwani, K., Mulchandani, M., Nadkarni, M., Pandey, S., Parab, M., Pardiwala, D., Patkar, A., Pawar, N., Pawar, A., Pednekar, A., Peshattiwar, V., Pokharkar, H., Potdar, O., Pothare, A., Rahmani, F., Rajput, S., Narendra, N. R., Rao, A., Rao, S., Rohela, H., Sakhrekar, R., Salunkhe, D., Sandlas, G., Sarkar, H., Satpathy, A., Sekhar, R., Shelke, Y., Shetty, S. S., Shetye, S., Kulkarni, A. S., Singal, U., Solanki, F., Sonawane, R., Thete, R., Vhatkar, R., Vora, S., Waigankar, S., Wasnik, S., Yadav, M., Yedave, R., Acharya, H., Bangar, A., Bharucha, M., Dhumane, P., Karmarkar, S., Nathani, R., Nehe, A., Nene, A., Noronha, W. J., Palapalle, N., Patel, P., Poyyil, D., Redkar, R., Shah, M., Tewari, S., Bakshi, G., Chaudhari, V., Deshmukh, A., Desoouza, A., Nair, D., Nayak, P., Patkar, S., Puri, A., Qureshi, S., Shetty, P., Shylasree, T., Thakkar, P., Thiagarajan, S., Tiwari, V. K., Voppuru, S. R., Soni, A., Soni, G., Alam, J., Bagaria, D., Bajpai, M., Bisoi, A. K., Chauhan, S., Choudhary, N., Chouhan, R. S., Chumber, S., Farooque, K., Gudala, V., Joshi, M., Kabra, A., Kale, S. S., Kumar, S., Mahajan, D., Malhotra, R., Menon, P. R., Misra, B., Mittal, S., Parshad, R., Priyadarshini, P., Sagar, S., Sharma, P. B., Sharma, V., Trikha, V., Tyagi, M., Bansal, K., Varma, K., Bhardwaj, R., Mittal, A., Ponnusamy, S., Singh, G. R., Tuli, I., Bhor, P., Dhar, S., Kale, S., Aggarwal, M., Gupta, H., Deshpande, A., Gadekar, A., Jaysingani, T., Panjwani, T., Patil, R., Vaidya, N., Vishwakarma, S. K., Wayal, U., Dutta, D., Arora, R., Dhingra, M., Garg, P. K., Huda, F., Kandwal, P., Kant, R., Seenivasagam, R. K., Joshua, L. M., Poonia, D. R., Rajput, D., Sadhasivam, S., Singh, V., Chandanwale, K., Philip, M., Thorat, V., Choudhury, Y., Das, D., Das, M., Goala, S., Laskar, F. Y., Laskar, P., Malik, K., Sarkar, A., Singha, S. T., Singha, M. N., Singha, D., Srungavarapu, G., Tapkire, R., Tling, S., Andrabi, S. M. I., Bhat, G. A., Chowdri, N., Kour, R., Parray, F., Shah, Z. A. M. I. R. A. H. M. A. D., Wani, R., Adamala, S., Gowder, R., Hegde, S., Mashitha, M. S., Sreeram, S., Ankadavar, S., Bafna, D., Dhanani, B., Ingle, N., Jadhao, P., Joseph, S., Kapote, S., Karkada, S., Lad, P., Lohia, R., Madje, S., Narasiman, V., Chisthi, M., George, G., Jothi, H., Pareed, D., Mathew, G. D. C., Abel, L., Agrawal, M., Rabindranath, B., Baldia, M., Barla, R. K., Beck, M., Benjamin, S., Bliss, J., Cherian, L., Devarakonda, S., Ete, G., George, A. J. P., Iovino, Claudio, CovidSurg Collaborarive, Frisoni T., Palmerini E., Donati D., Traina F., Solaini L., Pignatti M., Conti A., Internal Medicine, Collaborative, COVIDSurg, Collaborative, GlobalSurg, Apollo - University of Cambridge Repository, COVIDSurg Collaborative, Li, E, Emanuele Cammarata, Sofia Campanella, Daniela Canzonieri, Adriana Cordova, Federico De Michele, Ettore Dinoto, Mara Franza, Leo Licari, Daniele Matta, Domenico Mirabella, Felice Pecoraro, Roberto Pirrello, Pierfrancesco Pugliese, Fernando Rosatti, Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Vito Chiantera, Leo Licari, Palmisano, Silvia, de Manzini, Nicolo', Collaborative, Covidsurg, Collaborative, Globalsurg, Faculty of Medicine and Pharmacy, Clinical sciences, Medical Oncology, Basic (bio-) Medical Sciences, Diabetes Pathology & Therapy, Gastroenterology, Fruscio, R, Ornaghi, S, Surgical clinical sciences, COVIDSurg Collaborative (GlobalSurg, Collaborative), Beretta, L, and Aldrighetti, L.
Subjects: Male, pulmonary embolism, Internationality, Settore MED/18 - CHIRURGIA GENERALE, Deep vein, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], infectious diseases, Cardiovascular, SARS‐CoV‐2, surgery, COVID-19, SARS-CoV-2, deep vein thrombosis, venous thromboembolism, Cohort Studies, Postoperative Complications, Anesthesiology, Medicine and Health Sciences, Prospective Studies, 610 Medicine & health, Prospective cohort study, Lung, 11 Medical and Health Sciences, Confounding, Hematology, Middle Aged, Thrombosis, 17 Psychology and Cognitive Sciences, Pulmonary embolism, medicine.anatomical_structure, Cohort, COVID-19/complications, Postoperative Complications/etiology, Original Article, Female, Patient Safety, Life Sciences & Biomedicine, Human, Adult, medicine.medical_specialty, Adolescent, Clinical Sciences, GlobalSurg Collaborative, Venous Thromboembolism/etiology, NO, COVIDSurg Collaborative, Young Adult, Medicine, General & Internal, Age Distribution, Clinical Research, COVID‐19, General & Internal Medicine, medicine, Humans, Sex Distribution, Aged, Science & Technology, business.industry, Prevention, Neurosciences, deep vein thrombosi, Pneumonia, Odds ratio, Original Articles, medicine.disease, Surgery, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Prospective Studie, Good Health and Well Being, Anesthesiology and Pain Medicine, Human medicine, Postoperative Complication, Cohort Studie, business, Venous thromboembolism, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract: SARS-CoV-2 has been associated with an increased rate of venous thromboembolism in critically ill patients. Since surgical patients are already at higher risk of venous thromboembolism than general populations, this study aimed to determine if patients with peri-operative or prior SARS-CoV-2 were at further increased risk of venous thromboembolism. We conducted a planned sub-study and analysis from an international, multicentre, prospective cohort study of elective and emergency patients undergoing surgery during October 2020. Patients from all surgical specialties were included. The primary outcome measure was venous thromboembolism (pulmonary embolism or deep vein thrombosis) within 30 days of surgery. SARS-CoV-2 diagnosis was defined as peri-operative (7 days before to 30 days after surgery); recent (1-6 weeks before surgery); previous (≥7 weeks before surgery); or none. Information on prophylaxis regimens or pre-operative anti-coagulation for baseline comorbidities was not available. Postoperative venous thromboembolism rate was 0.5% (666/123,591) in patients without SARS-CoV-2; 2.2% (50/2317) in patients with peri-operative SARS-CoV-2; 1.6% (15/953) in patients with recent SARS-CoV-2; and 1.0% (11/1148) in patients with previous SARS-CoV-2. After adjustment for confounding factors, patients with peri-operative (adjusted odds ratio 1.5 (95%CI 1.1-2.0)) and recent SARS-CoV-2 (1.9 (95%CI 1.2-3.3)) remained at higher risk of venous thromboembolism, with a borderline finding in previous SARS-CoV-2 (1.7 (95%CI 0.9-3.0)). Overall, venous thromboembolism was independently associated with 30-day mortality (5.4 (95%CI 4.3-6.7)). In patients with SARS-CoV-2, mortality without venous thromboembolism was 7.4% (319/4342) and with venous thromboembolism was 40.8% (31/76). Patients undergoing surgery with peri-operative or recent SARS-CoV-2 appear to be at increased risk of postoperative venous thromboembolism compared with patients with no history of SARS-CoV-2 infection. Optimal venous thromboembolism prophylaxis and treatment are unknown in this cohort of patients, and these data should be interpreted accordingly. ispartof: ANAESTHESIA vol:77 issue:1 pages:28-39 ispartof: location:England status: published
Published: 2022

23. An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity

Author: Xiangyu Wang, Xinyan Zhao, Bing He, Keith Dip-Kei Luk, Shuqiang Wang, Yanyan Shen, Yong Hu, Prudence Wing Hang Cheung, and Jason Pui Yin Cheung
Subjects: business.industry, Computer science, Pipeline (computing), Deep learning, 020207 software engineering, Pattern recognition, 02 engineering and technology, Overfitting, Ensemble learning, Computer Science Applications, Task (project management), Human-Computer Interaction, Rate of convergence, Control and Systems Engineering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Electrical and Electronic Engineering, business, Software
Abstract: Assessment of skeletal maturity is important for a clinician to make a decision of the most appropriate treatment on various skeletal disorders. This task is very challenging when using machine learning method due to the limited data and large anatomical variations among different subjects. In this article, we propose an ensemble-based deep learning pipeline to automatically assess the distal radius and ulna (DRU) maturity from left-hand radiographs. At the same time, we adapted the concept of densely connected mechanism in the proposed network architecture to reuse features and prevent gradient disappearance. Therefore, the model acquires two convincing advantages: first, our model preserves the maximum information flow and has a much faster convergence rate. Second, our model avoids overfitting even if training with limited data. The experimental dataset contains 1189 left-hand X-ray scans of children and teenagers. The proposed method achieves 85.27% and 91.68% for radius and ulna classification, respectively. Extensive experiments prove that our model performs better than using other network structures.
Published: 2022

24. Understanding the lived experience of sleep disruption among childhood cancer survivors: a phenomenological study

Author: Wei Xia, Ankie Tan Cheung, Ka Yan Ho, Katherine Ka Wai Lam, Joyce Oi Kwan Chung, Laurie L. K. Ho, S. Y. Chiu, Godfrey Chi-Fung Chan, and William Ho Cheung Li
Subjects: medicine.medical_specialty, business.industry, Paediatric oncology, Lived experience, Childhood cancer, General Medicine, Sleep in non-human animals, Cancer Survivors, Neoplasms, Humans, Medicine, Survivors, Child, Sleep, business, Psychiatry
Published: 2021

25. Acalabrutinib monotherapy for treatment of chronic lymphocytic leukaemia (ACE-CL-001): analysis of the Richter transformation cohort of an open-label, single-arm, phase 1–2 study

Author: Priti Patel, Peter Hillmen, Raquel Izumi, William G. Wierda, Jean Cheung, Paolo Ghia, Anna Schuh, Toby A. Eyre, John M. Pagel, Richard R. Furman, Min Hui Wang, Jennifer R. Brown, John C. Byrd, Ahmed Hamdy, Yan Xu, Eyre, T. A., Schuh, A., Wierda, W. G., Brown, J. R., Ghia, P., Pagel, J. M., Furman, R. R., Cheung, J., Hamdy, A., Izumi, R., Patel, P., Wang, M. H., Xu, Y., Byrd, J. C., and Hillmen, P.
Subjects: Male, medicine.medical_specialty, Population, Neutropenia, Internal medicine, Antineoplastic Combined Chemotherapy Protocols, medicine, Humans, Adverse effect, education, Response rate (survey), education.field_of_study, business.industry, Hematology, medicine.disease, Leukemia, Lymphocytic, Chronic, B-Cell, Discontinuation, Lymphoma, Treatment Outcome, Pyrazines, Benzamides, Toxicity, Cohort, Lymphoma, Large B-Cell, Diffuse, Neoplasm Recurrence, Local, business
Abstract: Summary Background Patients with chronic lymphocytic leukaemia who progress to Richter transformation (diffuse large B-cell lymphoma morphology) have few therapeutic options. We analysed data from the Richter transformation cohort of a larger, ongoing, phase 1–2, single-arm study evaluating the safety and activity of the selective, irreversible Bruton's tyrosine kinase inhibitor acalabrutinib for the treatment of chronic lymphocytic leukaemia or small lymphocytic lymphoma. Methods For this open-label, single-arm, phase 1–2 study, patients aged 18 years or older with biopsy-proven treatment-naive or previously treated diffuse large B-cell lymphoma (Richter transformation) or prolymphocytic leukaemia transformation (Eastern Cooperative Oncology Group performance status ≤2) were assigned to receive oral acalabrutinib 200 mg twice daily as monotherapy until disease progression or toxicity. Patients were enrolled across seven centres from four countries. Safety and pharmacokinetics were assessed as primary endpoints; secondary endpoints were overall response rate, duration of response, and progression-free survival. Safety was assessed in the all-treated population (patients who received ≥1 dose), and activity was assessed in the all-treated population (for progression-free survival) and efficacy-evaluable population (for response rate; patients in the all-treated population with ≥1 response assessment after the first dose). This trial is registered with ClinicalTrials.gov ( NCT02029443 ). Findings Between Sept 2, 2014, and April 25, 2016, 25 patients with Richter transformation were enrolled; 12 (48%) were male and 23 (92%) were White. As of data cutoff (March 1, 2021), two (8%) of 25 patients remained on acalabrutinib. The median time on study was 2·6 months (IQR 1·8–8·4). The most common adverse events (all grades) were diarrhoea (12 [48%] of 25 patients), headache (11 [44%]), and anaemia (eight [32%]). The most common grade 3–4 adverse events were neutropenia (seven [28%] of 25) and anaemia (five [20%]). The most common reason for treatment discontinuation was disease progression (17 [68%] of 25 patients). 11 (44%) deaths were reported within 30 days of the last acalabrutinib dose; none was considered treatment-related. Acalabrutinib was rapidly absorbed and eliminated, with similar day 1 and day 8 exposures. The overall response rate was 40·0% (95% CI 21·1–61·3), with two (8%) of 25 patients having a complete response and eight (32%) having a partial response; the median duration of response was 6·2 months (95% CI 0·3–14·8). Median progression-free survival in the overall cohort was 3·2 months (95% CI 1·8–4·0). Interpretation Acalabrutinib appears to be generally well tolerated, although progression-free survival was relatively poor in this cohort of patients with Richter transformation. On the basis of these findings, the use of acalabrutinib monotherapy in this setting is limited; however, further assessment of acalabrutinib as part of combination-based regimens for patients with Richter transformation is warranted. Funding Acerta Pharma, a member of the AstraZeneca Group.
Published: 2021

26. IMPROVEMENTS IN NONCONVECTIVE AVIATION TURBULENCE PREDICTION FOR THE WORLD AREA FORECAST SYSTEM: A multidiagnostic-based en route nonconvective turbulence forecasting algorithm has been developed to provide better predictions of clear-air and mountain-wave turbulence for use in global strategic flight planning

Author: Kim, Jung-Hoon, Sharman, Robert, Strahan, Matt, Scheck, Joshua W., Bartholomew, Claire, Cheung, Jacob C.H., Buchanan, Piers, and Gait, Nigel
Subjects: Atmospheric turbulence -- Models, Aviation -- Environmental aspects, Business, Earth sciences
Abstract: ABSTRACT For the next generation of the World Area Forecast System (WAFS), the global Graphical Turbulence Guidance (G-GTG) has been developed using global numerical weather prediction (NWP) model outputs as [...]
Published: 2018
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27. Richmond forecast 2019

Author: Cheung, Oi Lin
Subjects: Richmond, Indiana -- Economic aspects, Labor market -- Forecasts and trends, Employment -- Statistics, Market trend/market analysis, Business
Abstract: Several indicators illustrated that economic activity in the Richmond region (1) continued to improve, although the momentum in 2018 was not as high as the year before. Total income and [...]
Published: 2018

28. Concept Drift-Tolerant Transfer Learning in Dynamic Environments

Author: Cuie Yang, Jinliang Ding, Yiu-ming Cheung, and Kay Chen Tan
Subjects: Concept drift, Computer Networks and Communications, business.industry, Computer science, Negative transfer, Machine learning, computer.software_genre, Ensemble learning, Computer Science Applications, Domain (software engineering), Artificial Intelligence, Classifier (linguistics), Artificial intelligence, Transfer of learning, business, computer, Software
Abstract: Existing transfer learning methods that focus on problems in stationary environments are not usually applicable to dynamic environments, where concept drift may occur. To the best of our knowledge, the concept drift-tolerant transfer learning (CDTL), whose major challenge is the need to adapt the target model and knowledge of source domains to the changing environments, has yet to be well explored in the literature. This article, therefore, proposes a hybrid ensemble approach to deal with the CDTL problem provided that data in the target domain are generated in a streaming chunk-by-chunk manner from nonstationary environments. At each time step, a class-wise weighted ensemble is presented to adapt the model of target domains to new environments. It assigns a weight vector for each classifier generated from the previous data chunks to allow each class of the current data leveraging historical knowledge independently. Then, a domain-wise weighted ensemble is introduced to combine the source and target models to select useful knowledge of each domain. The source models are updated with the source instances performed by the proposed adaptive weighted CORrelation ALignment (AW-CORAL). AW-CORAL iteratively minimizes domain discrepancy meanwhile decreases the effect of unrelated source instances. In this way, positive knowledge of source domains can be potentially promoted while negative knowledge is reduced. Empirical studies on synthetic and real benchmark data sets demonstrate the effectiveness of the proposed algorithm.
Published: 2022

29. Survey of Clinician Experiences of Telepsychiatry and Tele-Consultation-Liaison Psychiatry

Author: Stephanie G. Cheung, Adrienne D. Mishkin, Justin Capote, Weijia Fan, and Philip R Muskin
Subjects: Male, medicine.medical_specialty, Telehealth, Proxy (climate), Technical support, Patient satisfaction, Surveys and Questionnaires, medicine, Humans, Original Research Article, Survey, Pandemics, Psychiatry, Telepsychiatry, business.industry, Remote Consultation, COVID-19, Telemedicine, Psychotherapy, Sexual minority, Psychiatry and Mental health, Clinical Psychology, Family medicine, Consultation-Liaison Psychiatry, Respondent, Liaison psychiatry, Female, business
Abstract: The COVID-19 pandemic created pressure to implement telepsychiatry across practice models.We sought to evaluate the overall success of this change and to identify what types of practice settings, provider groups, and patient groups were best served by telepsychiatry and telepsychotherapy utilization. We were particularly interested in how providers of consultation-liaison psychiatry adapted to remote care.An anonymous provider survey querying demographics, education, training, technological experience, practice setting, treatment modalities, patient groups, transition process, and outcomes was made openly available via social media and professional listservs. We used multivariable regression modeling to evaluate for predictors of the positive outcomes of overall satisfaction, subjective ability to diagnose and treat patients adequately using exclusively telepsychiatric platforms, and patient satisfaction by proxy.Three hundred thirty-three respondents, mostly young (59.4% younger than 50 years), female (69.7%), and physicians (67.9%), completed the survey. One hundred ninety-seven (59.1%) worked in consultation-liaison psychiatry. Of the total, 85.9% gave affirmative answers to overall satisfaction. Multivariable linear regression models found that satisfaction was predicted by general comfort with technology (P0.001), but negatively correlated with having technical issues (P0.001), a priori skepticism (P0.001), clinician being male (P = 0.004), and treating LGBTQ+ patients (P = 0.022). Completeness was associated with having training in telehealth (P = 0.039) and general comfort with technology (P 0.001) but negatively associated with treating LGBTQ+ patients (P = 0.024) or inpatients (P = 0.002). Patient satisfaction by proxy was positively associated with general comfort with technology (P0.001) and the respondent being a nonphysician (P = 0.004) and negatively associated with encountering a technical issue (P = 0.013) or treating inpatients (P = 0.045). Consultation-liaison psychiatrists had similar results overall and were more likely to have other staff assist in making televisits effective (mean [standard deviation]: -1.25 [3.57] versus -2.76 [3.27], P 0.001) especially if consultative (mean [standard deviation]: -0.87 [3.67] versus -2.39 [3.01], P = 0.010).This study suggests high rates of overall satisfaction in telepsychiatry adoption, even in consultation-liaison psychiatry. There is distinct benefit in bolstering training, providing technical support, and addressing skepticism. Future research should include patient surveys and control groups and should focus on vulnerable populations such as sexual and gender minorities.
Published: 2022

30. High Throughput Hardware/Software Heterogeneous System for RRPN-Based Scene Text Detection

Author: Ray C. C. Cheung, Yi Wang, Donglong Chen, Yao Xin, Weichen Zhang, and Chongyang Zeng
Subjects: Computational Theory and Mathematics, Hardware and Architecture, business.industry, Computer science, Text detection, Central processing unit, Field-programmable gate array, business, Throughput (business), Software, Computer hardware, Theoretical Computer Science, Hardware software
Published: 2022

31. A retrospective comparative study of robotic distal pancreatectomy with or without splenic vessel and spleen preservation

Author: Sunny Y.S. Cheung, Charing C N Chong, Hon Ting Lok, Kit Fai Lee, Eugene Yee Juen Lo, Paul B.S. Lai, John Wong, and Andrew K Y Fung
Subjects: medicine.medical_specialty, medicine.medical_treatment, Operative Time, Splenectomy, Subgroup analysis, Sepsis, Lesion, Pancreatectomy, Robotic Surgical Procedures, Humans, Medicine, Retrospective Studies, business.industry, Robotics, Length of Stay, medicine.disease, Spleen preservation, Surgery, Pancreatic Neoplasms, Treatment Outcome, Pancreatic fistula, Laparoscopy, Histopathology, medicine.symptom, business, Distal pancreatectomy, Spleen
Abstract: Background Robotic distal pancreatectomy has been accepted to be safe and effective for pancreatic tail lesion. Whether spleen preservation by preserving the splenic vessels with robot assistance is feasible and beneficial remains controversial. Here we would like to compare the operative outcomes of robotic distal pancreatectomy and splenectomy (DPS) with robotic spleen preserving distal pancreatectomy by means of splenic vessel preservation (SVP). Methods Between March 2011 and September 2019, 56 consecutive patients undergoing robotic distal pancreatectomy were identified, with 28 patients in each group. Patient demographics, histopathology findings and operative outcomes were prospectively collected and compared between the two groups. A subgroup analysis was made after excluding malignant and pancreatic lesions >6 cm in the DPS group. Results The two groups had similar conversion rate, blood loss, morbidity and pancreatic fistula rate. There was no operative mortality. The SVP group had shorter median operative time (245 vs 303.5 min, P = 0.019) and shorter median hospital stay (5 vs 6 days, P = 0.019) than the DPS group. However, all malignant lesions occurred in the DPS group and lesion size in DPS group was significantly larger. After matching, there were 28 SVP and 15 DPS. The histopathology findings and lesion size became comparable. The SVP group still had shorter operative time (245 vs 290 min, P = 0.022) and shorter hospital stay (5 vs 7 days, P = 0.014) than the DPS group. Conclusion Apart from avoiding risk of overwhelming postsplenectomy sepsis, robotic SVP had additional advantage of shorter operative time and shorter hospital stay than robotic DPS.
Published: 2022

32. Evaluation of Clinical and Pathological Factors to Predict High Risk of Recurrence in Patients With Stage II Colon Cancer

Author: Jonathan M. Loree, Yaling Yin, Brent Parker, Winson Y. Cheung, Janine M. Davies, Breanne Cadham, and Sharlene Gill
Subjects: Oncology, medicine.medical_specialty, Multivariate analysis, Colorectal cancer, Population, Risk Factors, Internal medicine, medicine, Humans, In patient, education, Pathological, Neoplasm Staging, education.field_of_study, biology, business.industry, Gastroenterology, Prognosis, medicine.disease, Transthyretin, Time to recurrence, Colonic Neoplasms, biology.protein, Neoplasm Recurrence, Local, business, Stage ii colon cancer
Abstract: The ability to predict patients with stage II colon cancer at high risk of recurrence is currently limited to certain clinicopathologic factors. This population-based study reviewed various prognostic factors to identify those associated with worse time to recurrence (TTR) and improved disease specific survival (DSS), and to subsequently develop a prognostic index (PI) to identify high risk cancers. Multivariate analyses revealed factors significant for TTR and DSS. A PI derived from the TTR risk factors identified 3 risk groups using 5-year rate without relapse: 88% for low-risk, 81% for intermediate-risk, and 59% for high-risk. This model was better at identifying high risk patients than using equally weighted standard risk factors.
Published: 2022

33. Immediate Risk for Cardiovascular Events in Hip Fracture Patients: A Population-Based Cohort Study

Author: Chor-Wing Sing, Janus Siu Him Wong, Kathryn C.B. Tan, Gloria H.Y. Li, Bernard M.Y. Cheung, Ching-Lung Cheung, Ian C. K. Wong, and Warrington Wen Qiang Hsu
Subjects: Aging, medicine.medical_specialty, Osteoporosis, Population, Cohort Studies, Risk Factors, Internal medicine, Humans, Medicine, Cumulative incidence, education, Aged, Retrospective Studies, Hip fracture, education.field_of_study, Hip Fractures, business.industry, Incidence, Hazard ratio, medicine.disease, Cardiovascular Diseases, Propensity score matching, Geriatrics and Gerontology, business, Mace, Cohort study
Abstract: Background Emerging evidence showed that bone metabolism and cardiovascular disease (CVD) are closely related. We previously observed a potential immediate risk of cardiovascular mortality after hip fracture. However, whether there is an immediate risk of cardiovascular events after hip fracture is unclear. The aim of this study was to evaluate the risk for major adverse cardiovascular events (MACEs) between patients having experienced falls with and without hip fracture. Methods This retrospective population-based cohort study used data from a centralized electronic health record database managed by Hong Kong Hospital Authority. Patients having experienced falls with and without hip fracture were matched by propensity score (PS) at a 1:1 ratio. Adjusted associations between hip fracture and risk of MACEs were evaluated using competing risk regression after accounting for competing risk of death. Results Competing risk regression showed that hip fracture was associated with increased 1-year risk of MACEs (hazard ratio [HR], 1.27; 95% confidence interval [CI], 1.21–1.33; p < .001), with a 1-year cumulative incidence difference of 2.40% (1.94%–2.87%). The HR was the highest in the first 90-days after hip fracture (HR of 1.32), and such an estimate was continuously reduced in 180 days, 270 days, and 1 year after hip fracture. Conclusions Hip fracture was associated with increased immediate risk of MACEs. This study suggested that a prompt evaluation of MACE among older adults aged 65 years and older who are diagnosed with hip fracture irrespectively of cardiovascular risk factors may be important, as early management may reduce subsequent risk of MACE.
Published: 2021

34. Perceived work engagement and performance amongst police officers during the COVID-19 pandemic in Hong Kong

Author: Ivan Y. Sun, Jessica C. M. Li, Yuen-Kiu Cheung, and Chau-kiu Cheung
Subjects: Coronavirus disease 2019 (COVID-19), business.industry, Work engagement, Pandemic, Public relations, Psychology, business, Law
Abstract: Although work-related stress among police officers during the Coronavirus disease 2019 pandemic has been examined in recent studies, empirical studies of the impacts of multiple stressors on police officers’ work engagement and performance during this difficult time have been scarce. Using data collected from a sample of 335 police officers in Hong Kong, this study investigated the effects of supervisor support and different occupational stressors on police officers’ work engagement and performance during the pandemic. The regression results indicated that the impact of supervisor support was significantly and positively associated with both work outcomes. Operational stressors had a significant negative impact on the two work outcomes, and supervisor support had no moderating effect on the relationships between the various stressors and the two work outcomes. Practical suggestions on how to increase supervisor support for police officers and mitigate operational stressors are discussed.
Published: 2021

35. The application of close incisional negative pressure wound therapy in revision arthroplasty among asian patients: a comparative study

Author: Amy Cheung, Winnie Chan, Kwong Yuen Chiu, Chun Hoi Yan, Kar Hei Lam, Henry Fu, Wing Chiu Fung, Ping Keung Chan, Man Hong Cheung, and Vincent Wai Kwan Chan
Subjects: Orthopedic surgery, medicine.medical_specialty, Revision arthroplasty, business.industry, medicine.medical_treatment, Research, Significant difference, General Engineering, Closed-incisional negative pressure wound therapy, Institutional review board, Arthroplasty, Total knee, Surgery, Negative-pressure wound therapy, Cohort, Periprosthetic joint infection, Medicine, business, Surgical site infection, RD701-811
Abstract: Introduction Peri-prosthetic joint infection (PJI) was one of the main causes of revision of arthroplasty. In order to reduce wound complications and surgical site infections, close incisional negative pressure wound therapy (ciNPWT) has been introduced into arthroplasty. This study was designed to review the clinical benefits of the application of ciNPWT in revision arthroplasty. Methods This was a single-centre retrospective comparative study approved by the Institutional Review Board. Patients, who underwent revision total knee arthroplasty or revision total hip arthroplasty at the author’s institution from January 2016 to October 2019, were included in this study. The ciNPWT cohort included all eligible patients, who underwent operations from January 2018 to October 2019, with the use of ciNPWT(n = 36). The control cohort included all eligible patients, who underwent operations from January 2016 to December 2017 with the use of conventional dressing(n = 48). The incidences of wound complications were compared to both cohorts. Results There was a statistically significant difference in the rate of superficial surgical site infection (SSI) between control cohort and ciNPWT cohort (12.5% in control vs 0% in ciNPWT, p = 0.035). However, there was no statistically significance of the overall wound complication rate for both cohorts. (14.6% in control vs 8.3% in ciNPWT, p = 0.504). Conclusions The application of ciNPWT could result in a lower rate of superficial surgical site infection when compared with conventional dressing among the patients undergoing revision total knee and total hip arthroplasties. Trial registration UW19-706
Published: 2021

36. Transarterial chemoembolisation plus stereotactic body radiotherapy as conversion therapy for large right lobe hepatocecullar carcinoma

Author: Lam Tang Yu, Wong Wai Man, Cheung Chin Cheung, and Lee Ching Ching
Subjects: medicine.medical_specialty, medicine.anatomical_structure, business.industry, Carcinoma, medicine, Surgery, Radiology, medicine.disease, business, Stereotactic body radiotherapy, Lobe
Published: 2021

37. Learning-based fully automated prediction of lumbar disc degeneration progression with specified clinical parameters and preliminary validation

Author: Xihe Kuang, Marcus Kin Long Lai, Teng Zhang, Jason Pui Yin Cheung, Fengdong Zhao, Zhaomin Zheng, Dino Samartzis, Jaro Karppinen, Honghan Wu, and Kenneth M.C. Cheung
Subjects: medicine.medical_specialty, business.industry, Pipeline (computing), Lumbar disc degeneration, Region detection, Lumbar, Fully automated, medicine, Orthopedics and Sports Medicine, Surgery, Learning based, Radiology, business, Grading (tumors)
Abstract: Lumbar disc degeneration (LDD) may be related to aging, biomechanical and genetic factors. Despite the extensive work on understanding its etiology, there is currently no automated tool for accurate prediction of its progression. We aim to establish a novel deep learning-based pipeline to predict the progression of LDD-related findings using lumbar MRIs. We utilized our dataset with MRIs acquired from 1,343 individual participants (taken at the baseline and the 5-year follow-up timepoint), and progression assessments (the Schneiderman score, disc bulging, and Pfirrmann grading) that were labelled by spine specialists with over ten years clinical experience. Our new pipeline was realized by integrating the MRI-SegFlow and the Visual Geometry Group-Medium (VGG-M) for automated disc region detection and LDD progression prediction correspondingly. The LDD progression was quantified by comparing the Schneiderman score, disc bulging and Pfirrmann grading at the baseline and at follow-up. A fivefold cross-validation was conducted to assess the predictive performance of the new pipeline. Our pipeline achieved very good performances on the LDD progression prediction, with high progression prediction accuracy of the Schneiderman score (Accuracy: 90.2 ± 0.9%), disc bulging (Accuracy: 90.4% ± 1.1%), and Pfirrmann grading (Accuracy: 89.9% ± 2.1%). This is the first attempt of using deep learning to predict LDD progression on a large dataset with 5-year follow-up. Requiring no human interference, our pipeline can potentially achieve similar predictive performances in new settings with minimal efforts.
Published: 2021

38. Increased Computer Use is Associated with Trunk Asymmetry That Negatively Impacts Health-Related Quality of Life in Early Adolescents

Author: Mei-chun Cheung, Joanne Yip, Jason Pui Yin Cheung, and Janelle S.K. Lai
Subjects: medicine.medical_specialty, Activities of daily living, business.industry, Health Policy, Medicine (miscellaneous), Physical exercise, Odds ratio, Logistic regression, smartphone, Mental health, Trunk, early adolescents, health-related quality of life, Quality of life (healthcare), Patient Preference and Adherence, Cohort, Physical therapy, Medicine, trunk asymmetry, business, Pharmacology, Toxicology and Pharmaceutics (miscellaneous), Social Sciences (miscellaneous), computer, Original Research
Abstract: Mei-Chun Cheung,1 Janelle SK Lai,1 Joanne Yip,2 Jason Pui Yin Cheung3 1Department of Social Work, The Chinese University of Hong Kong, Hong Kong SAR, China; 2Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong SAR, China; 3Department of Orthopaedics and Traumatology, The University of Hong Kong, Hong Kong SAR, ChinaCorrespondence: Mei-Chun CheungDepartment of Social Work, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, ChinaTel +852-39431862Fax +852-26035018Email meichun@swk.cuhk.edu.hkPurpose: This study aimed to investigate the effects of trunk asymmetry on the health-related quality of life of early adolescents and to identify daily activities that were associated with trunk asymmetry in this cohort.Methods: This study included 200 early adolescents (52 male and 148 female) aged 10 to 14 years in Hong Kong. Among them, 100 adolescents were considered to have trunk asymmetry with angle of trunk rotation â¥ 5Â° and one or more physical signs on visual inspection. The 36-Item Short Form Health Survey was used to measure the eight scales under the physical and mental domains of the health-related quality of life. The adolescents reported their average daily durations spent (1) using a computer; (2) using a smartphone; (3) watching television, videos or DVDs; (4) doing homework; and (5) doing physical exercise. Independent samples t-tests, chi-square (Ï2) tests or MannâWhitney U-tests were performed to compare the health-related quality of life and the average daily duration of daily activities between early adolescents with and without trunk asymmetry. Logistic regression was performed to investigate the odds ratios of daily activities for trunk asymmetry.Results: Compared with early adolescents without trunk asymmetry, those with trunk asymmetry had a lower health-related quality of life in some of the physical domains, namely, bodily pain and general health, and all mental domains, namely, vitality (energy/fatigue), social functioning, role limitation due to emotional problems and mental health (p < 0.05). Use of computer was found to be significantly associated with trunk asymmetry in early adolescents (OR = 1.63, 95% CI [1.23, 2.14]).Conclusion: Our results indicate that increased computer use is associated with trunk asymmetry, which negatively impacts the health-related quality of life in early adolescents.Keywords: trunk asymmetry, computer, smartphone, health-related quality of life, early adolescents
Published: 2021

39. Use of ticagrelor and the risks of pneumonia and pneumonia-specific death in patients with non-acute coronary syndrome conditions: a population-based cohort study

Author: Yue Fei, Man Fung Tsoi, Qi Feng, Bernard M.Y. Cheung, and Ching-Lung Cheung
Subjects: Male, medicine.medical_specialty, Acute coronary syndrome, Ticagrelor, Science, Population, Cardiology, Lower risk, Article, Cohort Studies, Medical research, Internal medicine, Cause of Death, medicine, Humans, education, Propensity Score, Aged, Retrospective Studies, education.field_of_study, Multidisciplinary, business.industry, Hospitals, Public, Hazard ratio, Pneumonia, medicine.disease, Clopidogrel, Cardiovascular Diseases, Hong Kong, Medicine, Female, business, Platelet Aggregation Inhibitors, medicine.drug, Cohort study
Abstract: Previous studies have shown that ticagrelor reduced risk of pneumonia in patients with acute coronary syndrome (ACS) compared to clopidogrel, however, its effect in patients with non-ACS cardiovascular diseases remains uncertain. The aim was to investigate the effect of ticagrelor on pneumonia and pneumonia-specific death compared to clopidogrel in non-ACS patients in Hong Kong. This was a population-based cohort study. We included consecutive patients using ticagrelor or clopidogrel admitted for non-ACS conditions in Hong Kong public hospitals from March 2012 to September 2019. Patients using both drugs were excluded. The outcomes of interest were incident pneumonia, all-cause death, and pneumonia-specific death. Multivariable survival analysis models were used to estimate the effects [hazard ratio (HR) and 95% confidence interval (CI)]. Propensity score matching, adjustment and weighting were performed as sensitivity analyses. In total, 90,154 patients were included (mean age 70.66 years, males 61.7%). The majority of them (97.2%) used clopidogrel. Ticagrelor was associated with a lower risk of incident pneumonia [0.59 (0.46–0.75)], all-cause death [0.83 (0.73–0.93)] and pneumonia-specific death [0.49 (0.36–0.67)]. Sensitivity analyses yielded similar results. Ticagrelor was associated with lower risk of all-cause death, pneumonia-specific death, and incident pneumonia in patients with non-ACS cardiovascular conditions, consistent with previous evidence in patients with ACS. This additional effect of anti-pneumonia should be considered when choosing a proper P2Y12 inhibitor for patients with high risk of pneumonia.
Published: 2021

40. Perceptions, behaviours and attitudes towards smoking held by the male partners of Chinese pregnant women: a qualitative study

Author: Yuanhui Luo, Ka Yan Ho, Wei Xia, Wenzhi Cai, Tingna Liang, Peige Song, Ankie Tan Cheung, Laurie Long Kwan Ho, and Ho Cheung William Li
Subjects: Male, Smoking behaviour, medicine.medical_specialty, China, genetic structures, medicine.medical_treatment, Population, Psychological intervention, Smoking cessation, Fathers, Obstetrics and gynaecology, Pregnancy, Epidemiology, medicine, Humans, education, Child, China/epidemiology, education.field_of_study, business.industry, Public health, Pregnant women, Smoking, Public Health, Environmental and Occupational Health, Infant, Newborn, Chinese expectant fathers, Attitude, Family medicine, Female, Perception, Pregnant Women, Biostatistics, Qualitative study, Public aspects of medicine, RA1-1270, business, Qualitative research, Research Article
Abstract: Background Direct associations of tobacco exposure during pregnancy with pregnancy complications and adverse birth outcomes have been proven. Previous studies suggest that expecting a child provides a valuable opportunity to promote behavioural changes, such as smoking cessation, among the male partners of pregnant women. Thorough understandings of Chinese expectant fathers’ smoking behaviour during the transition to fatherhood is a prerequisite to the development of appropriate interventions to facilitate smoking cessation. This study aimed to explore the perceptions, behaviours and attitudes related to smoking among male partners of pregnant women in China. Methods A descriptive phenomenological approach was adopted. A purposive sample of expectant fathers aged 18 years or older who had a tobacco use history within the past year were recruited at obstetrics and gynaecology clinics and invited to participate in one-to-one, 20–30-min semi-structured interviews. The data analysis followed Colaizzi’s descriptive phenomenological method. Results Twenty-five expectant fathers were interviewed. Four themes were generated: 1) the benefits of smoking and respondents’ misperceptions of the impact of smoking and SHS and neglectful attitude of the impact of smoking, which were given as the major reasons for continuing to smoke; 2) factors contributing to smoking cessation, including concern for the potential health impact of continued smoking on the pregnant partner and baby, the role of being father, and the encouragement to quit from family members; and 3) perceived barriers to smoking cessation, including withdrawal symptoms or cigarette cravings, absence of smoking cessation support, and increasing stress. Conclusion This study provides a comprehensive understanding of the perception, behaviours, and attitudes related to smoking among Chinese expectant fathers. The findings of this study can guide healthcare professionals and policymakers in combining the distribution of educational information about the hazards of SHS for maternal and neonatal health with smoking cessation assistance for expectant fathers through policy initiatives and other types of incentives and programmes targeted to enhance smoking cessation among this population. Trial registration Prospectively registered at clinicaltrial.org (NCT03401021) on 8 Jan 2018.
Published: 2021

41. Minimally invasive liver resection for huge (≥10 cm) tumors: an international multicenter matched cohort study with regression discontinuity analyses

Author: Cheung, Tan-To, Wang, Xiaoying, Efanov, Mikhail, Liu, Rong, Fuks, David, Choi, Gi-Hong, Syn, Nicholas L, Chong, Charing C, Sucandy, Iswanto, Chiow, Adrian K H, Marino, Marco V, Gastaca, Mikel, Lee, Jae Hoon, Kingham, T Peter, D'Hondt, Mathieu, Choi, Sung Hoon, Sutcliffe, Robert P, Han, Ho-Seong, Tang, Chung Ngai, Pratschke, Johann, Troisi, Roberto I, Goh, Brian K P, montalti r, Cheung, Tan-To, Wang, Xiaoying, Efanov, Mikhail, Liu, Rong, Fuks, David, Choi, Gi-Hong, Syn, Nicholas L, Chong, Charing C, Sucandy, Iswanto, Chiow, Adrian K H, Marino, Marco V, Gastaca, Mikel, Lee, Jae Hoon, Kingham, T Peter, D'Hondt, Mathieu, Choi, Sung Hoon, Sutcliffe, Robert P, Han, Ho-Seong, Tang, Chung Ngai, Pratschke, Johann, Troisi, Roberto I, Goh, Brian K P, and Montalti, R
Subjects: huge tumour, medicine.medical_specialty, Blood transfusion, Tumor size, Large tumour, business.industry, medicine.medical_treatment, Minimally invasive liver resection (MILR), hepatocellular carcinoma, laparoscopic liver resection, Perioperative, medicine.disease, Resection, Matched cohort, Blood loss, Hepatocellular carcinoma, Medicine, Original Article, robotic-assisted liver resection, Radiology, business
Abstract: Background The application and feasibility of minimally invasive liver resection (MILR) for huge liver tumours (≥10 cm) has not been well documented. Methods Retrospective analysis of data on 6,617 patients who had MILR for liver tumours were gathered from 21 international centers between 2009-2019. Huge tumors and large tumors were defined as tumors with a size ≥10.0 cm and 3.0-9.9 cm based on histology, respectively. 1:1 coarsened exact-matching (CEM) and 1:2 Mahalanobis distance-matching (MDM) was performed according to clinically-selected variables. Regression discontinuity analyses were performed as an additional line of sensitivity analysis to estimate local treatment effects at the 10-cm tumor size cutoff. Results Of 2,890 patients with tumours ≥3 cm, there were 205 huge tumors. After 1:1 CEM, 174 huge tumors were matched to 174 large tumors; and after 1:2 MDM, 190 huge tumours were matched to 380 large tumours. There was significantly and consistently increased intraoperative blood loss, frequency in the application of Pringle maneuver, major morbidity and postoperative stay in the huge tumour group compared to the large tumour group after both 1:1 CEM and 1:2 MDM. These findings were reinforced in RD analyses. Intraoperative blood transfusion rate and open conversion rate were significantly higher in the huge tumor group after only 1:2 MDM but not 1:1 CEM. Conclusions MILR for huge tumours can be safely performed in expert centers It is an operation with substantial complexity and high technical requirement, with worse perioperative outcomes compared to MILR for large tumors, therefore judicious patient selection is pivotal.
Published: 2021

42. Comparison of self-collected mouth gargle with deep-throat saliva samples for the diagnosis of COVID-19

Author: Grace Cy Lui, Zigui Chen, Kate C Chan, Apple Cm. Yeung, Agnes Sy. Leung, Jo Lk Cheung, Rita Wy Ng, David S.C. Hui, Dominic Nc Tsang, Christopher K C Lai, Kwok Chu Peter Cheng, Paul K.S. Chan, Yuk-Yam Cheung, and Wendy C. S. Ho
Subjects: Microbiology (medical), 2019-20 coronavirus outbreak, Saliva, Infectious Diseases, medicine.anatomical_structure, Coronavirus disease 2019 (COVID-19), business.industry, Throat, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pharynx, Medicine, business, Virology
Published: 2021

43. Immunosuppressive Medication Adherence in Kidney Transplant Recipients During the COVID-19 Pandemic: A Cross-Sectional Study in Hong Kong

Author: Koon Ming Chan, Gloria Tang, Wai Leung Chak, Agnes Cheung, and Chi Yuen Cheung
Subjects: Adult, Male, medicine.medical_specialty, Cross-sectional study, Family support, Article, Medication Adherence, Pandemic, Health care, Humans, Medicine, Risk factor, Pandemics, Aged, Transplantation, business.industry, Medical record, COVID-19, Odds ratio, Middle Aged, Kidney Transplantation, Transplant Recipients, Cross-Sectional Studies, Emergency medicine, Hong Kong, Marital status, Female, Surgery, business, Immunosuppressive Agents
Abstract: Background The coronavirus disease 2019 (COVID-19) pandemic has put an enormous burden on health care systems worldwide. Limited access to medical care and fear of increased infective risks due to the use of immunosuppressive medication (IM) have increased concerns about IM adherence in kidney transplant recipients (KTRs). The aim of this study was to determine the various dimensions of IM nonadherence in KTRs during the COVID-19 pandemic. Methods This was a single-center, cross-sectional study using a convenient sampling approach. KTRs with follow-up in Queen Elizabeth Hospital, Hong Kong between May 1, 2020 and September 30, 2020, were invited to complete a self-reported questionnaire on IM adherence. The sociodemographic factors associated with IM adherence were extracted from medical records. Results Overall, 210 patients completed the questionnaires. The overall IM nonadherence rate was 35.2% in the 4 weeks before survey completion. None of the patients stopped taking IMs without instructions from their health care providers. The most common pattern of IM nonadherence was timing adherence (n = 63; 30.1%), followed by dose-skipping item. Among the different sociodemographic factors studied, only marital status was an independent risk factor of IM nonadherence (odds ratio, 1.97; 95% confidence interval, 1.04-3.72; P = .03). Conclusions The impact of COVID-19 on IM adherence in KTRs was not significant. All the patients continued their IM despite of the pandemic. Good family support can have a positive influence on treatment adherence in KTRs during the COVID-19 pandemic.
Published: 2021

44. The use of patient-reported outcomes in routine cancer care: preliminary insights from a multinational scoping survey of oncology practitioners

Author: Corina van den Hurk, Deborah Kirk, Imogen Ramsey, H. S. Darling, Raymond J. Chan, Dagmara Poprawski, Lawson Eng, Lisa B. Grech, Elke Rammant, Sandra A. Mitchell, Yin Ting Cheung, Margaret I. Fitch, Alexandre Chan, Andreas Charalambous, Cheung, Yin Ting, Chan, Alexandre, Charalambous, Andreas, Darling, HS, Eng, Lawson, Grech, Lisa, van den Hurk, Corina JG, Kirk, Deborah, Mitchell, Sandra A, Poprawski, Dagmara, Rammant, Elke, Ramsey, Imogen, Fitch, Margaret I, and Chan, Raymond J
Subjects: PRO, Oncology, medicine.medical_specialty, Patient-centered care, education, Allied Health Personnel, 8.1 Organisation and delivery of services, patient-centered care, Medical Oncology, Medical and Health Sciences, 7.3 Management and decision making, Clinical Research, Neoplasms, Surveys and Questionnaires, Internal medicine, Behavioral and Social Science, medicine, Humans, Oncology & Carcinogenesis, Patient Reported Outcome Measures, Clinical care, Socioeconomic status, PROM, Cancer, Patient-reported outcomes, Health professionals, business.industry, Prevention, Nursing research, Public health, Psychology and Cognitive Sciences, medicine.disease, humanities, Clinical Practice, Good Health and Well Being, patient-reported outcomes, Multinational corporation, Patient-reported outcome measures, Original Article, Management of diseases and conditions, Clinical Medicine, business, Health and social care services research
Abstract: Background There exists scant evidence on the optimal approaches to integrating patient-reported outcomes (PROs) in clinical practice. This study gathered oncology practitioners’ experiences with implementing PROs in cancer care. Methods Between December 2019 and June 2020, we surveyed practitioners who reported spending > 5% of their time providing clinical care to cancer patients. Respondents completed an online survey describing their experiences with and barriers to using PROs in clinical settings. Results In total, 362 practitioners (physicians 38.7%, nurses 46.7%, allied health professionals 14.6%) completed the survey, representing 41 countries (Asia–Pacific 42.5%, North America 30.1%, Europe 24.0%, others 3.3%). One quarter (25.4%) identified themselves as “high frequency users” who conducted PRO assessments on > 80% of their patients. Practitioners commonly used PROs to facilitate communication (60.2%) and monitor treatment responses (52.6%). The most commonly reported implementation barriers were a lack of technological support (70.4%) and absence of a robust workflow to integrate PROs in clinical care (61.5%). Compared to practitioners from high-income countries, more practitioners in low-middle income countries reported not having access to a local PRO expert (P
Published: 2021

45. Management and Outcomes of Clinical Scaphoid Fractures in Children

Author: Kevin Cheung, Minh N Q Huynh, Kevin Smit, Sasha Carsen, and Aneesh Karir
Subjects: medicine.medical_specialty, Adolescent, Radiography, Scaphoid fracture, Wrist, 03 medical and health sciences, Fractures, Bone, 0302 clinical medicine, medicine, Humans, Orthopedics and Sports Medicine, Prospective Studies, Fractures, Closed, Prospective cohort study, Child, Retrospective Studies, Scaphoid Bone, Surgery Articles, 030222 orthopedics, medicine.diagnostic_test, business.industry, Standard treatment, Hand Injuries, 030208 emergency & critical care medicine, Magnetic resonance imaging, Retrospective cohort study, medicine.disease, Wrist Injuries, Occult, medicine.anatomical_structure, Surgery, Radiology, business
Abstract: Background: Acute wrist trauma with clinical suspicion of a scaphoid fracture, but normal radiographs, is known as a clinical scaphoid fracture. Standard treatment involves immobilization and repeat radiographs in 10 to 14 days. When repeat radiographs are normal but a scaphoid fracture is still clinically suspected, the optimal management in children is unknown. This study retrospectively assessed the management and outcomes of pediatric patients diagnosed with clinical scaphoid fractures. Methods: A retrospective study was performed of all patients over a 2-year period treated for a clinical scaphoid fracture at a tertiary pediatric center. Patients were included if they had clinical signs of a scaphoid fracture and 2 negative x-rays 7 to 14 days apart postinjury. Results: Ninety-one patients with a mean age of 13.2 years (range: 7.8-17.7) were included. Sixteen patients (17.6%) underwent computed tomography (CT) or magnetic resonance imaging (MRI) at a mean time of 10.2 weeks postinjury. Five patients (5.5%) were diagnosed with a scaphoid fracture by x-ray or CT at an average of 4.5 weeks postinjury (range: 3-6). Six patients were diagnosed with other wrist fractures at a mean time postinjury of 3.1 (range: 3-6.5) weeks. Out of 195 total radiographs, the surgeon and radiologist disagreed on 59 (30.2%) images. No patients underwent surgery. Conclusions: Management of clinical scaphoid fractures at our institution was relatively uniform: nearly all patients were immobilized and less than 20% received advanced imaging. Our findings suggest a low but non-zero occult scaphoid fracture rate, discordance in radiologic interpretation, and lack of advanced imaging, providing an avenue for future prospective studies.
Published: 2023

46. Patient-Reported Outcomes After Complex Adult Spinal Deformity Surgery: 5-Year Results of the Scoli-Risk-1 Study

Author: Ferran Pellisé, Justin S. Smith, Kenneth M.C. Cheung, Christopher P Ames, Frank J. Schwab, Oheneba Boachie-Adjei, Mark B. Dekutoski, Leah Y. Carreon, Christopher I. Shaffrey, Yong Qiu, Michael G. Fehlings, Stephen J. Lewis, AO Spine Knowledge Forum Deformity, Khaled M Kabeaish, Meghan Cerpa, Yukihiro Matsuyama, Lawrence G. Lenke, Michael P. Kelly, Scott L. Zuckerman, Institut Català de la Salut, [Zuckerman SL, Cerpa M, Lenke LG] Columbia University Medical Center, New York, NY, USA. [Shaffrey CI] Duke University Medical Center, Durham, NC, USA. [Carreon LY] Norton Leatherman Spine Center, Louisville, KY, USA. [Cheung KMC] Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong. [Pellisé F] Vall d’Hebron Hospital Universitari, Barcelona, Spain, and Vall d'Hebron Barcelona Hospital Campus
Subjects: medicine.medical_specialty, Cirurgia - Complicacions, deformity, Pacients - Satisfacció, Pathological Conditions, Signs and Symptoms::Pathologic Processes::Postoperative Complications [DISEASES], patient reported outcomes, Clinical Research, medicine, Deformity, Orthopedics and Sports Medicine, Columna vertebral - Malformacions - Cirurgia, Investigative Techniques::Epidemiologic Methods::Data Collection::Surveys and Questionnaires::Health Care Surveys::Patient Reported Outcome Measures [ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT], business.industry, técnicas de investigación::métodos epidemiológicos::recopilación de datos::encuestas y cuestionarios::encuestas sobre atención a la salud::medidas de resultados percibidos por los pacientes [TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS], adult spinal deformity, Otros calificadores::Otros calificadores::/cirugía [Otros calificadores], afecciones patológicas, signos y síntomas::procesos patológicos::complicaciones posoperatorias [ENFERMEDADES], adult idiopathic scoliosis, Surgery, AO Spine Knowledge Forum Deformity and SRS Scoli-RISK-1 Study Group, Brain Disorders, Other subheadings::Other subheadings::/surgery [Other subheadings], spinal deformity surgery, Good Health and Well Being, Musculoskeletal Diseases::Bone Diseases::Spinal Diseases [DISEASES], Spinal deformity, Neurology (clinical), enfermedades musculoesqueléticas::enfermedades óseas::enfermedades de la columna vertebral [ENFERMEDADES], medicine.symptom, business
Abstract: Adult spinal deformity; Patient reported outcomes; Spinal deformity surgery Deformidad espinal en el adulto; Resultados informados por el paciente; Cirugía de deformidad espinal Deformitat espinal de l'adult; Resultats informats pel pacient; Cirurgia de deformitat espinal Study Design: Prospective cohort. Objective: To prospectively evaluate PROs up to 5-years after complex ASD surgery. Methods: The Scoli-RISK-1 study enrolled 272 ASD patients undergoing surgery from 15 centers. Inclusion criteria was Cobb angle of >80°, corrective osteotomy for congenital or revision deformity, and/or 3-column osteotomy. The following PROs were measured prospectively at intervals up to 5-years postoperative: ODI, SF36-PCS/MCS, SRS-22, NRS back/leg. Among patients with 5-year follow-up, comparisons were made from both baseline and 2-years postoperative to 5-years postoperative. PROs were analyzed using mixed models for repeated measures. Results: Seventy-seven patients (28.3%) had 5-year follow-up data. Comparing baseline to 5-year data among these 77 patients, significant improvement was seen in all PROs: ODI (45.2 vs. 29.3, P < 0.001), SF36-PCS (31.5 vs. 38.8, P < 0.001), SF36-MCS (44.9 vs. 49.1, P = 0.009), SRS-22-total (2.78 vs. 3.61, P < 0.001), NRS-back pain (5.70 vs. 2.95, P < 0.001) and NRS leg pain (3.64 vs. 2.62, P = 0.017). In the 2 to 5-year follow-up period, no significant changes were seen in any PROs. The percentage of patients achieving MCID from baseline to 5-years were: ODI (62.0%) and the SRS-22r domains of function (70.4%), pain (63.0%), mental health (37.5%), self-image (60.3%), and total (60.3%). Surprisingly, mean values (P > 0.05) and proportion achieving MCID did not differ significantly in patients with major surgery-related complications compared to those without. Conclusions: After complex ASD surgery, significant improvement in PROs were seen at 5-years postoperative in ODI, SF36-PCS/MCS, SRS-22r, and NRS-back/leg pain. No significant changes in PROs occurred during the 2 to 5-year postoperative period. Those with major surgery-related complications had similar PROs and proportion of patients achieving MCID as those without these complications. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This study was funded by AO Spine through the AO Spine Knowledge Forum Deformity, the Scoliosis Research Society (SRS), and Norton Healthcare. AO Spine Knowledge Forum Deformity is a focused group of international deformity experts. AO Spine is a clinical division of the AO Foundation, which is an independent medically-guided not-for-profit organization. Study support was provided directly through the AO Spine Research Department and the AO Innovation Translation Center, Clinical Evidence.
Published: 2022

47. Knowledge and practice of home blood pressure monitoring 6 months after the risk and assessment management programme: does health literacy matter?

Author: Carlos K. H. Wong, Sau Nga Fu, Man Chi Dao, and Bernard M.Y. Cheung
Subjects: Health Knowledge, Attitudes, Practice, medicine.medical_specialty, Psychological intervention, Health literacy, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Surveys and Questionnaires, Odds Ratio, medicine, Humans, 030212 general & internal medicine, Cluster randomised controlled trial, Chronic care, Response rate (survey), Primary Health Care, business.industry, General Medicine, Odds ratio, Blood Pressure Monitoring, Ambulatory, Checklist, Health Literacy, Family medicine, Hypertension, Risk assessment, business
Abstract: Background Little is known whether patients with lower health literacy could retain the practice and knowledge of home blood pressure monitoring (HBPM) after an educational programme. Methods A cluster randomised controlled trial in five primary care clinics recruited participants with uncontrolled hypertension. Clinics were randomised either to a HBPM group education (Risk Assessment and Management Programme (RAMP-group), or individual counselling of self-management (RAMP-individual). Health literacy was assessed by the Chinese Health Literacy Scale for Chronic Care. Practice and knowledge of HBPM were surveyed by a 10-item HBPM knowledge checklist and patient record review 6 months after interventions. Predictors for regular HBPM and good HBPM knowledge were assessed by multivariate logistic regression models. Results 287 participants (RAMP-group: 151; RAMP-individual: 136) were follow-up for 6 months. 272 participants completed the knowledge questionnaires (response rate 94.8%). 67.8% of the participants performed HBPM regularly, and there was no statistical difference between both interventions. Age more than 65 (adjusted odds ratios (aOR) 2.58, 95% CI 1.37 to 4.86, p=0.003), not working (aOR 2.34, 95% CI 1.10 to 4.97, p=0.027)and adequate health literacy (aOR 2.25, 95% CI 1.28 to 3.95, p=0.005) predicted regular HBPM. Participants in RAMP-group demonstrated a significant lower body weight than those in RAMP-individual (−0.3±2.0 kg vs +0.7 ±1.7 kg, p Conclusion Patients could retain HBPM knowledge better after RAMP-group than RAMP-individual. Older, retired and patients with adequate health literacy were more likely to continue weekly HBPM 6 months after education. Trial registration number NCT02551393.
Published: 2022

48. Pain management after laparoscopic appendectomy: Comparative effectiveness of innovative pre-emptive analgesia using liposomal bupivacaine

Author: Pete Newman, Monica Bennett, Laura B. Petrey, Anthony C. Waddimba, Jordin Shelley, Zi-On Cheung, Jennifer N. Gibson, and Evan Elizabeth McShan
Subjects: Adult, medicine.medical_treatment, medicine, Appendectomy, Humans, Pain Management, Anesthetics, Local, Bupivacaine hydrochloride, Saline, Retrospective Studies, Bupivacaine, Pain, Postoperative, business.industry, Retrospective cohort study, General Medicine, Appendicitis, Opioid-Related Disorders, Liposomal Bupivacaine, medicine.disease, Analgesics, Opioid, Opioid, Anesthesia, Liposomes, Morphine, Laparoscopy, Surgery, Analgesia, business, medicine.drug
Abstract: Background Laparoscopic appendectomy is standard of care for appendicitis in the US. Pain control that limits opioids is an important area of research given the opioid epidemic. This study examined post-appendectomy inpatient opioid use and pain scores following intraoperative use of liposomal bupivacaine (LB) versus non-liposomal bupivacaine. Methods This was a retrospective cohort study of 155 adults who underwent laparoscopic appendectomy for acute appendicitis. Patients were divided into four cohorts based on the analgesia administered: (i) bupivacaine hydrochloride (BH)± epinephrine; (ii) undiluted LB; (iii) LB diluted with normal saline; and (iv) LB diluted with BH. Results Baseline demographic/clinical attributes, intra-operative findings, and post-operative pain scores were equivalent across cohorts. Post-operative pre-discharge opioid use was higher in the BH vs. LB cohorts (mean 60.4 vs. 46.0, 35.5, and 30.4 morphine milligram equivalents, respectively; p Conclusions Pre-emptive analgesia with LB during laparoscopic appendectomy can reduce inpatient opioid use without significantly increasing post-operative pain scores.
Published: 2022

49. Cost-Effectiveness Analysis of Negative Pressure Wound Therapy to Prevent Surgical Site Infection After Elective Colorectal Surgery

Author: John De Almeida, Paul J. Karanicolas, Douglas C. Cheung, Hala Muaddi, and Antonio Finelli
Subjects: medicine.medical_specialty, Hernia, business.industry, Incisional hernia, Cost-Benefit Analysis, medicine.medical_treatment, Gastroenterology, MEDLINE, General Medicine, Cost-effectiveness analysis, Dehiscence, Hernia repair, medicine.disease, Colorectal surgery, Surgery, Wound care, Postoperative Complications, Negative-pressure wound therapy, medicine, Humans, Surgical Wound Infection, business, Colorectal Surgery, Negative-Pressure Wound Therapy, Retrospective Studies
Abstract: Surgical site infection is common after colorectal surgery and is associated with increased costs. Prophylactic negative pressure wound therapy has previously been shown to reduce surgical site infection compared with conventional dressings. However, negative pressure wound therapy application is met with hesitancy because of its additional cost.This study aims to determine whether the application of prophylactic negative pressure wound therapy after elective colorectal surgery is cost-effective.A cost-effectiveness analysis comparing prophylactic negative pressure wound therapy versus conventional dressing was completed using a Markov microsimulation model. A publicly funded single health care payer perspective was adopted across a lifetime horizon.This study was conducted using in-hospital elective colorectal surgery.The base case was an age-, sex-, and comorbidity-standardized patient undergoing open elective colorectal surgery.Negative pressure wound therapy was applied postoperatively over closed incisions.The primary outcomes of interest were the number of surgical site infections, total costs, and quality-adjusted life-years gained. Secondary outcomes included emergency department presentation, hospital readmission, nursing wound care utilization, fascial dehiscence, incisional hernia, and non-surgical site infection-related complications.We found that prophylactic negative pressure wound therapy, standardized to 1000 patients, prevented 51 surgical site infections, 3 fascial dehiscences, 10 incisional hernias, 22 emergency department presentations, and 6 hospital readmissions. This resulted in a total cost saving of $17,066 and 92.2 quality-adjusted life-years gained ($17.07 and 0.09 quality-adjusted life-years gained on average per patient). When the patients' risk of surgical site infections was greater than 3.2%, negative pressure wound therapy was a cost-effective strategy at a willingness to pay of $50,000/quality-adjusted life-years.We did not model for societal perspective, emergent presentations of incarcerated hernias, or complications with hernia repair. The results of this model are reliant on the published negative pressure wound therapy efficacy and may change when additional data arise.The use of negative pressure wound therapy is the dominant strategy with improved outcomes and reduced costs compared with conventional dressing in patients undergoing colorectal surgery, particularly in at-risk patients. See Video Abstract at http://links.lww.com/DCR/B782.ANTECEDENTES:La infección del sitio quirúrgico es común después de la cirugía colorrectal y se asocia con un aumento de los costos. Anteriormente se demostró que la terapia profiláctica con presión negativa reduce la infección del sitio quirúrgico en comparación con los apósitos convencionales. Sin embargo, el uso de la terapia de presión negativa se encuentra en dudas debido a su costo adicional.OBJETIVO:Determinar si la aplicación de la terapia profiláctic con presión negativa después de la cirugía colorrectal electiva es rentable.DISEÑO:Se completó un análisis de costo-efectividad comparando la terapia profiláctica con presión negativa versus apósito convencional utilizando un modelo de microsimulación de Markov. Se adoptó una perspectiva de pagador único de asistencia sanitaria financiada con fondos públicos a lo largo de toda la vida.AJUSTE:Cirugía colorrectal electiva intrahospitalaria.PACIENTES:El caso base fue un paciente estandarizado por edad, sexo y comorbilidad sometido a cirugía colorrectal abierta electiva.INTERVENCIÓN:Aplicación postoperatoria de terapia de presión negativa sobre incisiones cerradas.RESULTADOS PRINCIPALES:Los resultados primarios de interés fueron el número de infecciones del sitio quirúrgico, los costos totales y los años de vida ganados ajustados por calidad. Los resultados secundarios incluyeron presentación en la sala de emergencias, reingreso al hospital, la utilización del cuidado de heridas por enfermería, dehiscencia fascial, hernia incisional y complicaciones relacionadas con infecciones del sitio no quirúrgico.RESULTADOS:Estandarizado para 1,000 pacientes, encontramos que la terapia profiláctica con presión negativa previno 51 infecciones del sitio quirúrgico, 3 dehiscencias fasciales, 10 hernias incisionales, 22 presentaciones en la sala de emergencias y 6 reingresos al hospital. Esto resultó en un ahorro total de costos de $ 17.066 y 92.2 años de vida ganados ajustados por calidad ($ 17.07 y 0.09 años de vida ganados ajustados por calidad en promedio por paciente). Cuando el riesgo de infección del sitio quirúrgico de los pacientes era superior al 3,2%, la terapia de presión negativa era una estrategia rentable con una disposición a pagar de 50.000 dólares por años de vida ajustados por calidad.LIMITACIONES:No modelamos para la perspectiva social, presentaciones emergentes de hernias encarceladas o complicaciones con la reparación de hernias. Los resultados de este modelo dependen de la eficacia publicada de la terapia de presión negativa y pueden cambiar cuando surjan más datos.CONCLUSIONES:El uso de la terapia de presión negativa es la estrategia dominante con mejores resultados y costos reducidos en comparación con el apósito convencional en pacientes sometidos a cirugía colorrectal, particularmente en pacientes de riesgo. Consulte Video Resumen en http://links.lww.com/DCR/B782. (Traducción- Dr. Francisco M. Abarca-Rendon).
Published: 2022

50. Liver stiffness measurement predicts short-term and long-term outcomes in patients with hepatocellular carcinoma after curative liver resection

Author: Ruby Siu-Ting Lau, Kit-Fai Lee, Kandy Kam-Cheung Wong, Grace Lai-Hung Wong, Vincent Wai-Sun Wong, Andrew K Y Fung, Charing C N Chong, John Wong, Eugene Jun-Yee Lo, Henry Lik-Yuen Chan, Philip Ching-Tak Ip, Paul B.S. Lai, and Kelvin K. Ng
Subjects: medicine.medical_specialty, Carcinoma, Hepatocellular, Cirrhosis, business.industry, medicine.medical_treatment, Liver Neoplasms, Cancer, Prognosis, medicine.disease, Gastroenterology, Liver stiffness, Internal medicine, Hepatocellular carcinoma, Long term outcomes, Hepatectomy, Humans, Medicine, Surgery, Prospective Studies, Neoplasm Recurrence, Local, business, Transient elastography, Prospective cohort study
Abstract: Hepatocellular carcinoma is one of the commonest cancer in the world. Despite curative resection, recurrence remains the largest challenge. Many risk factors were identified for predicting recurrence, including liver fibrosis and cirrhosis. Transient elastography (Fibroscan) is an accurate tool in measuring liver fibrosis. This study aimed to evaluate the use of preoperative liver stiffness measurement (LSM), with Fibroscan in predicting long-term recurrence of hepatocellular carcinoma (HCC) after curative resection.A prospective cohort study was conducted from February 2010 - June 2017 in Prince of Wales hospital. All consecutive patients with HCC undergone hepatectomy were included. Demographic factors, preoperative LSM, tumor characteristics and operative details were assessed. Primary outcome and secondary outcome were overall survival and disease free survival at 1 year, 3 year and 5 year respectively.A total of 401 cases were included. Patients with LSM ≥12kPa had significantly lower 5-year overall survival rate (75.1% vs 57.3%, p 0.001) and disease free survival rate (45.8% vs. 26.7%, p 0.001). On multivariate analysis, pre-operative creatinine and vascular invasion of tumor were significant factors in predicting early recurrence (p = 0.012 and p = 0.004). LSM ≥12kPa were the only significant factor in predicting late recurrence (p = 0.048).Pre-operative liver stiffness measurement could predict the late recurrence of hepatocellular carcinoma after curative resection.
Published: 2022

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