63 results on '"Ibrahim, Mustafa"'
Search Results
2. Coplanar waveguide-fed compact planar ultra-wideband antenna with inverted L-shaped and extended U-shaped ground for portable communication devices
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Md. Mottahir Alam, Asif Irshad Khan, Ibrahim Mustafa Mehedi, and Rezaul Azim
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Physics ,business.industry ,Frequency band ,Coplanar waveguide ,General Physics and Astronomy ,Planar ,Hardware_GENERAL ,Radiator (engine cooling) ,Optoelectronics ,Standing wave ratio ,Antenna (radio) ,Omnidirectional antenna ,business ,Ground plane - Abstract
To simultaneously cover multiple wireless services and protocols, the antenna in communication devices should operate over a wide and ultra-wide frequency band. The use of wide/ultra-wideband antennas not only lessens the number of antennas necessary to cover multiple frequency bands but also decreases the system complexity, size, and costs. To operate over the ultra-wide frequency band, in this paper a CPW-fed small antenna is reported for portable communication devices. The anticipated antenna comprises a bow-tie-shaped patch and two ground planes. One inverted L-shaped and one extended U-shaped ground plane are asymmetrically placed with the main radiator which helps the antenna prototype to realize a functional band of 3.05 – 11.25 GHz (VSWR ≤ 2). In the functional band, the studied antenna accomplished a maximum peak gain of 4.98 dBi and maximum efficiency of 94.4%. Moreover, it exhibits symmetric omnidirectional radiation patterns and good time-domain behavior. The lucrative characteristics such as simple design, very small size (24.5 × 20 mm2), ultra-wide operating band, good gain and efficiency, stable radiation characteristics, and good time-domain characteristics make it a potential candidate to be used in portable communication devices.
- Published
- 2021
3. Diagnostic implications of MicroRNAs; 155, 146 a, and 203 lesional expression in alopecia areata: A preliminary case‐controlled study
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Neveen E. Sorour, Asmaa Mohamed Al-Refaie, Ola S El-Shimi, Amany Ibrahim Mustafa, and Eman Fawzy
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Alopecia Areata ,business.industry ,Case-control study ,Dermatology ,Alopecia areata ,medicine.disease ,Non-coding RNA ,Pathophysiology ,Disease activity ,Pathogenesis ,MicroRNAs ,Immune system ,Immunology ,microRNA ,medicine ,Humans ,business ,Hair Follicle ,Skin - Abstract
BACKGROUND Alopecia areata (AA) is an immune mediated disorder that attacks hair follicles with unknown pathophysiology. MicroRNAs (miRNAs) are small noncoding RNA molecules, and their aberrant expression or function has been involved in different autoimmune conditions. OBJECTIVES We aimed at exploring the association between some miRNAs lesional expression and AA pathogenesis by measurement of miRNAs-155, 146a, and 203 expression levels in the lesional skin from patchy AA patients and to evaluate their relation with the studied parameters. SUBJECTS AND METHODS Skin expression levels of miRNAs-155, 146a, and 203 were evaluated in 50 patients with patchy AA and 25 healthy controls using reverse transcriptase-quantitative PCR (RT-qPCR). The activity and severity of alopecia were assessed according to AA Investigational Assessment Guidelines criteria. RESULTS Studied patients showed significant up-regulation of miRNAs-203, 146a, and 155 lesional tissue expression levels when compared to control group (p
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- 2021
4. Association between angiotensin‐converting enzyme gene insertion deletion polymorphism and androgenetic alopecia susceptibility among Egyptian patients: A preliminary case‐controlled study
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Samah Ezzat Ibrahim, Ola S El-Shimi, Eman Fawzy, Naglaa F. Alhusseini, Amany Ibrahim Mustafa, and Yasser Mostafa Gohary
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medicine.medical_specialty ,Angiotensins ,education ,Dermatology ,Peptidyl-Dipeptidase A ,Gastroenterology ,Polymorphism (computer science) ,Internal medicine ,Genotype ,medicine ,Humans ,Genetic Predisposition to Disease ,Allele ,Family history ,Gene ,reproductive and urinary physiology ,Polymorphism, Genetic ,biology ,business.industry ,Case-control study ,Alopecia ,Angiotensin-converting enzyme ,female genital diseases and pregnancy complications ,body regions ,Mutagenesis, Insertional ,Case-Control Studies ,biology.protein ,Egypt ,Gene polymorphism ,business - Abstract
BACKGROUND Androgenetic alopecia (AGA) is a prevalent condition with a complex etiopathogenesis. Angiotensin-converting enzyme (ACE) gene located on the chromosome 17q23 contains an insertion (I) and deletion (D) polymorphism in the intron 16. This gene polymorphism plays a role in multiple inflammatory disorders. However, there are no studies investigating its association with AGA susceptibility. OBJECTIVES In this work, we aimed at exploring the association of ACE gene I/D polymorphism in AGA susceptibility in a group of Egyptian patients. METHODS This study included 100 AGA patients, and 100 apparently healthy controls. The ACE gene I/D polymorphism was analyzed by polymerase chain reaction. RESULTS The DD, ID genotypes, and D allele showed higher frequent distribution among studied AGA patients than controls (p
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- 2021
5. Landing Trajectory Generation and Energy Optimization for Unmanned Lunar Mission
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Ibrahim Mustafa Mehedi and Md. Shofiqul Islam
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Article Subject ,010504 meteorology & atmospheric sciences ,Computer science ,General Mathematics ,ComputerApplications_COMPUTERSINOTHERSYSTEMS ,Moon landing ,01 natural sciences ,Modeling and simulation ,Robustness (computer science) ,0103 physical sciences ,QA1-939 ,Aerospace engineering ,010303 astronomy & astrophysics ,0105 earth and related environmental sciences ,business.industry ,Astrophysics::Instrumentation and Methods for Astrophysics ,General Engineering ,Engineering (General). Civil engineering (General) ,Physics::Space Physics ,Trajectory ,Fuel efficiency ,Algorithm design ,Astrophysics::Earth and Planetary Astrophysics ,TA1-2040 ,Space Science ,business ,Mathematics ,Energy (signal processing) - Abstract
The moon is recognized as an important destination for space science and exploration. To find a satisfactory answer for the mystery of the universe and to make use of the lunar resources for the welfare of human beings, several space agencies are planning manned and unmanned missions on the moon. As a result, the concept of lunar vehicles has begun with an advanced descent scheme to execute a precise and safe landing on the surface of the moon. On the contrary, the energy budget is an important issue for any space mission. To reduce the cost of a space mission, it is necessary to design the vehicle trajectory based on optimized energy resources. Fuel is the main energy in a space mission. Therefore, a fuel-optimized energy generation technique is focused on this research. The design of an algorithm that generates a real-time trajectory for the descent and landing of a lunar probe is critical to ensuring a successful lunar landing mission. A scheme of dual-step trajectory generation for lunar descent is also investigated in this paper. In the algorithm developing process, the thrust-to-mass ratio is considered as a principle variable. Algorithm design along with mathematical modeling and simulation results are described in detail. In addition, the proposed method for generating reference trajectory profiles is also analyzed for fuel consumption and robustness.
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- 2021
6. Artificial Intelligence-Based Digital Image Steganalysis
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Mohammad Shorfuzzaman, Abdulah Jeza Aljohani, Ahmed I. Iskanderani, Thangam Palaniswamy, Shaikh Abdul Latif, Farzana Akther, Ibrahim Mustafa Mehedi, and Abdul Latif
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Science (General) ,Article Subject ,Computer Networks and Communications ,Computer science ,MathematicsofComputing_GENERAL ,0211 other engineering and technologies ,02 engineering and technology ,Overfitting ,Convolutional neural network ,Q1-390 ,Genetic algorithm ,0202 electrical engineering, electronic engineering, information engineering ,T1-995 ,Technology (General) ,Steganalysis ,Hyperparameter ,021110 strategic, defence & security studies ,Fitness function ,business.industry ,Deep learning ,Sorting ,Pattern recognition ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,Information Systems - Abstract
Recently, deep learning-based models are being extensively utilized for steganalysis. However, deep learning models suffer from overfitting and hyperparameter tuning issues. Therefore, in this paper, an efficient θ -nondominated sorting genetic algorithm- ( θ NSGA-) III based densely connected convolutional neural network (DCNN) model is proposed for image steganalysis. θ NSGA-III is utilized to tune the initial parameters of DCNN model. It can control the accuracy and f-measure of the DCNN model by utilizing them as the multiobjective fitness function. Extensive experiments are drawn on STEGRT1 dataset. Comparison of the proposed model is also drawn with the competitive steganalysis model. Performance analyses reveal that the proposed model outperforms the existing steganalysis models in terms of various performance metrics.
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- 2021
7. A Unique Presentation of Creutzfeldt-Jakob Disease in a Patient Consuming Deer Antler Velvet
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An Cao, Yanely Sanchez Ceja, Ibrahim Mustafa, and Joseph Wiedemer
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medicine.medical_specialty ,Infectious Diseases ,business.industry ,Medicine ,Antler velvet ,Disease ,Presentation (obstetrics) ,business ,Dermatology - Published
- 2021
8. Design and Performance Analysis of Tandem Organic Solar Cells: Effect of Cell Parameter
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Md. Tanvir Hasan, Md. Rafiqul Islam, Farha Islam Mime, Eklas Hossain, and Ibrahim Mustafa Mehedi
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Materials science ,General Computer Science ,Organic solar cell ,optical modeling ,thickness optimization ,02 engineering and technology ,current matching ,010402 general chemistry ,01 natural sciences ,General Materials Science ,Absorption (logic) ,Photonic crystal ,quadruple-junction ,Tandem ,business.industry ,Triple junction ,Photovoltaic system ,General Engineering ,Tandem organic solar cells (OSCs) ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Optoelectronics ,lcsh:Electrical engineering. Electronics. Nuclear engineering ,0210 nano-technology ,business ,Current density ,lcsh:TK1-9971 ,Voltage - Abstract
An organic solar cell (OSC), competitive with traditional one (Si-based), draws attention to future renewable energy sources due to its low-cost and continually rising efficiency. The tandem or multijunction structure undoubtedly offers an efficient way to boost the performance of OSCs. This work has explored the optical modeling of different organic photoactive materials to identify the potential materials for efficient tandem structure. The performance of double, triple, and quadruple junction tandem OSCs with suitable bandgaps has been analyzed with photoactive materials. The absorption efficiency enhances considerably using the thickness optimization of each subcell in tandem structures. Current matching in all subcells, an essential factor for efficient device operation, is taken into account while optimizing tandem structures. The quadruple design can achieve better photovoltaic performance than double or triple junction devices. The efficiency predicted from our proposed quadruple structure is ~15.45%, with a short-circuit current density, $\text{J}_{\mathrm {SC}}$ of $\sim 9$ mA/cm2 and an open-circuit voltage, $\text{V}_{\mathrm {OC}}$ of ~2.64 V. These results are one of the high-performance in terms of organic photovoltaic (OPV). Therefore, the above findings indicate that OSCs are very potential for future photovoltaic applications.
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- 2021
9. Impact of Channel Thickness on the Performance of GaAs and GaSb DG-JLMOSFETs: An Atomistic Tight Binding Based Evaluation
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Muhammad Shaffatul Islam, Ahmed I. Iskanderani, Md. Tanvir Hasan, Md. Rafiqul Islam, Ibrahim Mustafa Mehedi, and Md. Soyaeb Hasan
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GaSb ,Materials science ,General Computer Science ,short-channel effects (SCEs) ,law.invention ,Gallium arsenide ,chemistry.chemical_compound ,Effective mass (solid-state physics) ,Tight binding ,law ,General Materials Science ,double gate ,junctionless MOSFETs ,nano-scaled device ,business.industry ,GaAs ,Transistor ,General Engineering ,Dissipation ,TK1-9971 ,Threshold voltage ,chemistry ,Logic gate ,Optoelectronics ,Electrical engineering. Electronics. Nuclear engineering ,business ,Communication channel - Abstract
In this paper, the performance of GaAs and GaSb based sub-10 nm double-gate junctionless metal-oxide-semiconductor field-effect transistors (DG-JLMOSFETs) have been studied for high-performance switching applications. The quantum transmitting boundary method (QTBM) has been considered for electron transport, and the band structures are accounted for sp3d5s* tight-binding modeling. The channel thickness, tch is varied from 1.7 to 4.7 nm to evaluate the device figure of merits (FOMs). The thinner channel’s device shows a lower OFF-state current, while the ticker channel device allows a higher ON-state current. The threshold voltage is approximately 0.4 V for GaAs DG-JLMOSFETs with tch = 1.7 nm, whereas it reduces to ~0.05 V for that of tch = 4.7 nm. Similar characteristics have been shown in GaSb devices. Besides, a significant impact of tch on the subthreshold swing (SS) and drain-induced barrier lowering (DIBL) is found in GaSb DG-JLMOSFETs compared with those of GaAs devices. The devices show a higher leakage-power dissipation in both channel materials and low-intrinsic delay for thicker tch due to a substantial amount of energy drop. The above results indicate that III-V-based DG-JLMOSFETs are very promising for next-generation high-performance switching technology.
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- 2021
10. Tissue Expression of Neuregulin-1 in Hypertrophic Scars and Keloids before and after Intralesional Bleomycin Injection
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H.M. Abdullah, Neveen E. Sorour, N.F. El Husseini, and Amany Ibrahim Mustafa
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Pathology ,medicine.medical_specialty ,biology ,business.industry ,General Medicine ,medicine.disease ,Bleomycin ,Pathogenesis ,chemistry.chemical_compound ,medicine.anatomical_structure ,Keloid ,Dermis ,chemistry ,medicine ,biology.protein ,Neuregulin ,Neuregulin 1 ,skin and connective tissue diseases ,Wound healing ,Fibroblast ,business - Abstract
Hypertrophic scars and keloids are forms of abnormal wound healing. Both entities are the result of exuberant fibroblast response in the dermis. Nevertheless, their clinical and histopathological characteristics, as well as their pathogenesis, are differentThe aim of this study was to study the role of neuregulin- 1 in the pathogenesis of hypertrophic scars and keloids and studying the change in tissue expression after intralesional bleomycin injection. This prospective case - control study was carried on20patients who were suffering from keloids or hypertrophic scarsand were treated by intra lesional bleomycin injection, in addition to 20 apparently healthy individuals as a control group. Assement of hypertrophic scars and keloids before and after treatment byVancouver scar scale laboratory investigations including punch biopsies from hypertrophic scars, keloids and normal tissues, qRT-PCRfor gene expression of Neuregulin1 RNA was done. HTS group before treatment showed significantly higher level of neuregulin 1 but significantly lower after treatment and neuregulin 1 sensitivity was 80%, specificity was 100%,and accuracy was 90%.Neuregulin 1 before treatment showed significant positive correlation with Neuregulin 1after treatment.Better response was significantly associated with Lower baseline neuregulin 1.Higher neuregulin 1 was considered as risk predictor of HTS or keloid susceptibility and severity. Bleomycin usage has a better result and minimal complications and less recurrence rate, which shows its usefulness as the first-line treatment modality for management of keloids and hypertrophic scars.
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- 2020
11. Cross talk between oxidative stress and inflammation in alopecia areata
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Amany Ibrahim Mustafa, Shimaa Mohamad AbdElRahman Baghdady, Rana Atef Khashaba, Eman Fawzy, and Shymaa Mostafa Rezk
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medicine.medical_specialty ,Alopecia Areata ,DNA damage ,Inflammation ,Dermatology ,Disease ,HMGB1 ,medicine.disease_cause ,Gastroenterology ,Proinflammatory cytokine ,030207 dermatology & venereal diseases ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Internal medicine ,medicine ,Humans ,Deoxyguanosine ,biology ,business.industry ,Alopecia areata ,medicine.disease ,Oxidative Stress ,C-Reactive Protein ,chemistry ,030220 oncology & carcinogenesis ,biology.protein ,medicine.symptom ,business ,Biomarkers ,Oxidative stress - Abstract
BACKGROUND Although the etiopathogenesis of alopecia areata (AA) is still unclear, inflammation, oxidative stress, and subsequent DNA damage might be considered role players in disease development. AIM We aimed at exploring the potential link between oxidative DNA damage and inflammation in AA patients through measuring 8-hydroxy deoxyguanosine (8-OHdG), high mobility group box 1 protein (HMGB1), and one of the inflammatory mediators, C-reactive protein (CRP). METHODS A total of 79 subjects (49 AA patients in addition to 30 apparently healthy control subjects) were tested for serum levels of 8-OHdG, HMBG1, and CRP. RESULTS Compared with the control group, serum 8-OHdG, HMBG1, and CRP levels were significantly elevated in the studied patients group (0.031
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- 2020
12. SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study
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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, 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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 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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, 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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, 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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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Priyadarshini, Suganya, S, Samuel, Habie, Samuel, Gilbert, Selvaraj, Daniel, Sharma, Srujan, Surendran, Suraj, Hariharan, T D, Thangaraj, Santhosh Kumar, Thomas, Vinotha, Thomas, Varghese, Thomas, John K, Harish, Y S, Boggavarapu, Manobhiram, Voonna, Murali Krishna, Lolobali, Marilaeta Cindryani, Ryalino, Christopher, Senapathi, Tjokorda Gde Agung, Tjokorda, Mahadewa, Widnyana, I Made Gede, Aditianingsih, Dita, Auerkari, Aino, Chandra, Susilo, Damara, Fachreza Aryo, Dilmy, Mohammad Adya Firmansha, Harzif, Achmad Kemal, Manggala, Sidharta Kusuma, Pratama, Dedy, Priyambodo, Affan, Ramlan, Andi Ade, Soenarto, Ratna Farida, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Tantri, Aida Rosita, Zahra, Raihanita, Fachrian, Dedy, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Pajan, Hendra, Amrullah, Ahmad Hannan, Anam, Khoirul, Hadipranata, Thirza, Sugianto, Julius Albert, Fitrisyah, Aidyl, Lestari, Mayang Indah, Lubis, Nur Rachmat, Zainal, Rizal, 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Imani, Bini, Shahrokh Jahan, Koosha, Mohsen, Moslemi, Mohammad Kazem, Naghibi, Ali, Tehrani, Shahrzad, Yazdi, Zahra, Adeli, Seyyed Hassan, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Manesh, Hassan Fatemi, Ghomeisi, Mohammad, Hejazi, Seyed Fakhreddin, Madani, Saeed, Motahaver, Nima Najafian, Norouzi, Samieh, Modarres, Mahdi Pezeshki, Shafiee, Ali, Vafaeimanesh, Jamshid, Yusefi, Hossein, Hosseini, Elahe, Medhati, Pourya, Nikoupour, Hamed, Aghazadeh, Kayvan, Bastaninejad, Shahin, Dabirmoghaddam, Payman, Erfanian, Reza, Firouzifar, Mohammadreza, Heidari, Farrokh, Irani, Shirin, Karimi, Ebrahim, Kouhi, Ali, Zarandy, Masoud Motasaddi, Anari, Mahtab Rabbani, Sandoughdaran, Saleh, Sohrabpour, Saeed, Tajdini, Ardavan, Yazdani, Nasrin, Bagheri, Nima, Javadi, Seyed Amir, Kalantar, Seyed Hadi, Keneshlou, Farzaneh, Khan, Zahid Hussain, Mortazavi, SM Javad, Ahmadi, Sayedali, Hatam, Jaber, Nabian, Mohammad Hossein, Zanjani, Leila Oryadi, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Shafiei, Seyyed Hossein, Siavashi, Babak, Al‐isawi, Ali, Al‐masood, Mohammed, Al‐najjar, Dania, Gahtan, Yarub, Nabil, Sara, Hameed, Najat Abdul, Hameed, Jumana Abdul, Ahmed, Abdullah, Akadh, Ali, Hussein, Rand, Aljebur, Abbas, Hassan, Sadik, Ali, Haithem Hussein, Al‐hasani, Fahad, Ibrahim, Mustafa Wameedh, Saeed, Mubder Mohammed, Muhssein, Haidar, Akindoyin, Success, Barry, Stevie, Dewan, Nikhil, Ekwere, Bosom, Essajee, Murtaza, Langhe, Ream, Marshall, Calista, Musa, Darya, Ahmad, Zeeshan, Andrews, Emmet, Chin, Bruno Chan, Corrigan, Mark, Murphy, Amy Edwards, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Hsiao, Michelle, Kayyal, Mohd Yasser, Killeen, Shane, Lyons, Maria, Burke, Cathy, Hewitt, Matt, Mohamed, Marwa, Nazir, Syeda Farah, Mei Yee, Ng, Wahab, Nor Azlia Abdul, Monteith, Cathy, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Corr, Paula, Crone, Lauren, Harris, Johnathon, Hill, Arnold, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Ryan, James, Hehir, Mark Philip, Regan, Carmen, Geary, Michael, Malone, Fergal, Mccarthy, Claire, O’Connor, Donal B, Considine, Shane, Donohoe, Emma, Herron, Caroline, Larkin, John, Lynch, Thomas Hugh, Maguire, Barry, Manecksha, Rustom, Carthy, Andrea Mc, Nagassima, Katharina, O’Sullivan, Erica, Rohan, Pat, Roopnarinesingh, Ryan, Salloum, Salloum, Aherne, Thomas, Barry, Mary, Bowen, Gareth John, Boyle, Ellen, Dowdall, Joseph, Hanly, Ann, Hassanin, Ahmed, Heneghan, Helen, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Martin, Sean T, Masarani, Nawar, Mccartan, Damian, Mcdermott, Enda W, Murphy, Ben, Kin Cheung, Ng, Njeze, Nwabundo, O’Neill, Aine, Prichard, Ruth S, Quirke, Ned, Reynolds, Ian Sean, Winter, Des, Casey, Rowan, Elamin, Mutaz, Gillis, Amy, Kavanagh, Dara, Kelly, Michael, Mcnamee, Áine, Neary, Paul, Owens, Patrick, Ravi, Akshaya, Ridgway, Paul, Carroll, Paul, Collins, Chris, Dhannoon, Amenah, Fowler, Amy, Hogan, Aisling, Lowery, Aoife, Mcanena, Peter, Timon, Charlie, Walsh, Stewart, Al‐ramli, Wisam, Azeem, Imran, Bahadoor, Muhammad Usaama, Bodnar, Zsolt, Elmusharaf, Hassan, Hassan, Faisal Saeed, Hingum, Adam, Huan, Huilun, Jennings, Seamus, Khalid, Mohamed Hamed, Kuteva, Mariya, Mujtaba, Syed Nadeem, Peeriyah, Shanell, Rehman, Hina, Sarwar, Muhammad Assam, Shaju, Tony, Stephens, Ian, Sugrue, Michael, Thomas, Joseph, Varzgalis, Manvydas, Zeeshan, Saqib, Jaffer, Alisha, Jones‐whiting, Larne, Peirce, Colin, Johnston, Sean, Lim, Seantee, Abdelgadir, Alwaleed, Al‐mukhaizeem, Youssef, Cooke, Fiachra, Crowley, Clare, Cullen, Ivor, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Martinez, Claudia Guerrero, Hamza, Mohamed Alfatih, Hassan, Mekki, Hegazy, Ibrahim, Hill, Rhodri, Kazim, Amr, Khalid, Azriny Shaziela, Khalid, Muhammad Abdullah, Majeed, Zubair, Manning, Aidan, Mccullough, Peter, Murphy, Seamus, Neary, Peter, Noone, Anthony, O’Donoghue, Gerrard, O’Kelly, John, Odonnell, Eddie, Osman, Elaf, Ryan, Jessica, Saeed, Rafeh, Arar, Ahmad Abo, Abed, Arsan Abu, Dykman, Daniel, Elnassasra, Ahmad, Gatot, Inbar, Gavriel, Haim, Gold‐deutch, Ruthie, Haim, Nadav, Hammerschlag, Jonathan, Hershkovitz, Yehuda, Jaber, Ahmad, Kenoshi, Adi, Lavy, Ron, Majadla, Omar, Muallem‐kalmovich, Limor, Nativ, Hilli, Rabin, Igor, Sandler, Yael, Zmora, Osnat, Bala, Miklosh, Demma, Yonatan Avraham, Fishman, Yuri, Marom, Gad, Avni, Naor, Carmel, Ofra, Farkas, Amicur, Freund, Michael Ron, Gonen, Lior, Gozal, Yaacov, Greenman, Dmitry, Kocherov, Stanislav, Margalit, Nevo, Shick, Orit Nahtomi, Ostrovsky, Israel Alexander, Pardes, Rivka, Perets, Michal, Shahar, Tal, Shapiro, Henry, Tankel, James, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Balercia, Paolo, Catarzi, Lisa, Consorti, Giuseppe, Cianci, Pasquale, Gattulli, Domenico, Minafra, Marina, Restini, Enrico, Andolfi, Enrico, Annino, Filippo, Barbara, Frezza, Biancafarina, Alessia, Bussolin, Edoardo, De Prizio, Marco, Gjondedaj, Ulpjana, Gubbiotti, Marilena, Mura, Gianni, Pellicano, Giuseppe Antonino, Pirola, Giacomo Maria, Sulce, Rezart, Martines, Gennaro, Papagni, Vincenzo, Picciariello, Arcangelo, Magnone, Stefano, Pisano, Michele, Poiasina, Elia, Alberici, Laura, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Bernante, Paolo, Bertoglio, Pietro, Bianchi, Lorenzo, Bisulli, Maria, Bonfanti, Barbara, Boussedra, Safia, Brandolini, Jury, Cacciapuoti, Crescenzo, Cardelli, Stefano, Casadei, Riccardo, Cescon, Matteo, Cipolli, Alessandro, Cipriani, Riccardo, Contu, Luca, Costa, Francesco, Daddi, Niccolo, De Crescenzo, Eugenia, De Iaco, Pierandrea, De Palma, Alessandra, Del Gaudio, Massimo, Gatta, Anna Nunzia Della, Dolci, Giampiero, Dondi, Giulia, Droghetti, Matteo, Parri, Sergio Nicola Forti, Garelli, Elena, Gelati, Chiara, Germinario, Giuliana, Giorgini, Federico A., Ingaldi, Carlo, Jovine, Elio, Kawamukai, Kenji, Lanci, Antonio Lanci, Lombardi, Raffaele, Miralles, Maria Elisa Lozano, Marchetti, Claudio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Parlanti, Daniele, Pellegrini, Alice, Perrone, Anna Myriam, Pezzuto, Anna Paola, Pignatti, Marco, Pilu, Gianluigi, Pinto, Valentina, Poggioli, Gilberto, Puglisi, Silvana Bernadetta, Raimondo, Diego, Ravaioli, Matteo, Ricci, Claudio, Ricciardi, Sara, Ricotta, Francesco, Rizzo, Roberta, Romano, Angela, Rottoli, Matteo, Schiavina, Riccardo, Seracchioli, Renato, Serenari, Matteo, Serra, Margherita, Solli, Piergiorgio, Sorbi, Gioia, Taffurelli, Mario, Tanzanu, Marta, Tarsitano, Achille, Tesei, Marco, Vago, Gabriele, Violante, Tommaso, Zanotti, Simone, Aspide, Raffaele, Bertolini, Giacomo, Bortolotti, Carlo, Carretta, Alessandro, Caruso, Ambra, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Mazzatenta, Diego, Pirina, Alessandro, Rosetti, Vittoria, Sturiale, Carmelo, Vincenzi, Matteo, Zoli, Matteo, Castagnini, Francesco, Donati, Davide Maria, Frisoni, Tommaso, Lucchini, Stefano, Palmerini, Emanuela, Traina, Francesco, Baietti, Anna Maria, Berselli, Bruno, Bolognesi, Silvia, Fabbri, Erich, Farnia, Francesco, Maremonti, Pietro, Marganella, Concetta, Pasquini, Ernesto, Piserchia, Vito Antonio, Prucher, Gian Marco, Razzaboni, Alessandra, Ricci, Silvia, Sollini, Giacomo, Testoni, Caterina, Hilal, Mohammed Abu, Graaf, Nine, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Cagnazzi, Elena, D’Alessio, Rossella, Doglietto, Francesco, Ferrari, Federico, Fontanella, Marco, Igor, Batog, Molfino, Sarah, Odicino, Franco, Panciani, Pier Paolo, Saraceno, Giorgio, Sartori, Enrico, Zanin, Luca, Esposito, Giuseppe, Frongia, Federica, Pisanu, Adolfo, Podda, Mauro, Cillara, Nicola, Putzu, Alessandro Cannavera, Sechi, Raffaele, Abate, Emmanuele, Casati, Massimiliano, Laface, Letizia, Schiavo, Marcello, Marino, Fabio, Perrone, Fabrizio, Annicchiarico, Paolo, Cappellani, Alessandro, Cavallo, Matteo, Giaquinta, Alessia, Gioco, Rossella, Veroux, Massimiliano, Veroux, Pierfrancesco, Zanghì, Antonino, Cianci, Antonio, Giudice, Arturo Lo, Matarazzo, Maria Grazia, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, Carpino, Antonio, Cristofaro, Maria Giulia, De Paola, Gilda, Giannaccare, Giuseppe, Novembre, Daniela, Sammarco, Giuseppe, Scorcia, Vincenzo, Angeli Christy, Yu, D’Andrea, Marcello, Mongardi, Lorenzo, Tosatto, Luigino, Barone, Mirko, Mucilli, Felice, Muraglia, Angelo, Caserini, Ottavia, Giuliani, Domenico Benvenuto, Monti, Marco, Morello, Alessia, Segalini, Edoardo, Borghi, Felice, Cianflocca, Desiree, Daniele, Alberto, Donati, Danilo, Gelarda, Enrico, Giraudo, Giorgio, Giuffrida, Maria Carmela, Marano, Alessandra, Olearo, Elena, Ciarello, Vincenzo Pruiti, Puppo, Andrea, Testa, Valentina, Giacometti, Marco, Zonta, Sandro, Monti, Eleonora, Porta, Andrea, Sambucci, Daniele, Birindelli, Arianna, Carrara, Barbara, Compagnoni, Bruno, Del Giudice, Roberto, Dester, Sara Elisabetta, Lomiento, Daniele, Ruggiero, Silvia, Taglietti, Lucio, Viotti, Fabio, Lacavalla, Domenico, Occhionorelli, Savino, Rubbini, Michele, Bernabei, Massimiliano, Fabbri, Nicolò, Fazzin, Marta, Feo, Carlo V., Torchiaro, Marco, Costi, Renato, Virgilio, Edoardo, Arlia, Lorenzo, Barbato, Giuseppe, Bartolini, Ilenia, Bottari, Andrea, Bruno, Chiara, Bruscino, Alessandro, Checcucci, Carlotta, Cianchi, Fabio, Coratti, Francesco, De Vincenti, Rosita, Di Bella, Annamaria, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Gigliucci, Giacomo, Locatello, Luca Giovanni, Maltinti, Gherardo, Martellucci, Jacopo, Prosperi, Paolo, Ringressi, Maria Novella, Sorbi, Flavia, Staderini, Fabio, Taddei, Antonio, Anastasi, Alessandro, Canonico, Giuseppe, Chisci, Emiliano, Gabellini, Linda, Masciello, Fabrizio, Michelagnoli, Stefano, Nelli, Tommaso, Tirloni, Luca, Alemanno, Giovanni, Arminio, Armando, Beck, Renata, Bergamini, Carlo, Cotoia, Antonella, Lizzi, Vincenzo, Maccagnano, Giuseppe, Pesce, Vito, Sarni, Antonio Luciano, Tartaglia, Nicola, Vovola, Fernanda, Avanzolini, Andrea, Bocchino, Antonio, Bova, Raffaele, Cavaliere, Davide, D’Acapito, Fabrizio, Ercolani, 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 Fumagalli, Pietrobon, Giacomo, Sedda, Giulia, Spaggiari, Lorenzo, Tagliabue, Marta, Ardito, Antonella, Caputo, Maria, Cellerino, Paola, D’Alessandro, Valentina, Galfrascoli, Elisa, Giusti, Maria Paola, Lotti, Marco, Santambrogio, Roberto, Zappa, Marco Antonio, Bondurri, Andrea, Bonomi, Alessandro Michele, Colombo, Francesco, Crespi, Michele Achille, Danelli, Piergiorgio, Epifani, Angelo Gabriele, Ferrario, Luca, Frontali, Alice, Guerci, Claudio, Maffioli, Anna, Ferrara, Francesco, Aldrighetti, Luca Antonio, Baccellieri, Domenico, Bertoglio, Luca, Bonavina, Giulia, Candiani, Massimo, Candotti, Giorgio, Casiraghi, Arianna, Castellano, Laura Mariangela, Cavoretto, Paolo Ivo, Chiesa, Roberto, Cipriani, Federica, De Nardi, Paola, Fiorentini, Guido, Gagliardi, Filippo, Galdini, Alessandro, Grandi, Alessandro, Marotta, Elena, Massaron, Simonetta, Melloni, Andrea, Mortini, Pietro, Nocera, Gianluca, Piloni, Martina, Pozzoni, Mirko, Ratti, Francesca, Rosati, Riccardo, Ruffolo, Alessandro Ferdinando, Sileri, Pierpaolo, Spina, Alfio, Vignali, Andrea, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Di Tomasso, Nora, Fresilli, Stefano, Landoni, Giovanni, Lazzari, Stefano, Lombardi, Gaetano, Marmiere, Marilena, Monaco, Fabrizio, Todaro, Gabriele, Turi, Stefano, Zangrillo, Alberto, Bertolina, Francesca, Bogani, Giorgio, Bonomi, Stefano, Cadenelli, Pierfrancesco, Chiappa, Valentina, Cioffi, Stefano Piero Bernardo, Citterio, Davide, Comini, Lara Valentina, Cortinovis, Umberto, Cosimelli, Maurizio, Ditto, Antonino, Gennaro, Massimiliano, Giannini, Lorenzo, Guaglio, Marcello, Guzzo, Marco, Leva, Andrea, Macchi, Alberto, Manzo, Elena, Martinelli, Fabio, Mattavelli, Ilaria, Mazzaferro, Vincenzo Maria, Raspagliesi, Francesco, Rolli, Luigi, Sala, Laura, Salvioni, Roberto, Santinami, Mario, Segattini, Silvia, Sorrentino, Luca, Zaborra, Carlotta, Anesi, Alexandre, Pattacini, Gianmaria Casoni, Di Bartolomeo, Mattia, Pecchini, Francesca, Pellacani, Arrigo, Piccoli, Micaela, Fusini, Federico, Gattolin, Andrea, Migliore, Marco, Rimonda, Roberto, Sasia, Diego, Travaglio, Elisabetta, Brunetti, Federica, Cereda, Marco, Ceresoli, Marco, Cigagna, Luca, Dell’Oro, Cristina, Fogliati, Alessandro, Fruscio, Robert, Grassi, Tommaso, Isabella, Maini Marzia, Nespoli, Luca Carlo, Oldani, Massimo, Ornaghi, Sara, Tamini, Nicolò, Antropoli, Carmine, Castaldi, Antonio, Palumbo, Alessio, Altieri, Gaia, Bracale, Umberto, Corcione, Francesco, De Luca, Marcello, De Palma, Giovanni Domenico, Di NUZZO, Maria Michela, Lionetti, Ruggero, Bue, Dalila Loredana Lo, Luglio, Gaetano, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, Tropeano, Francesca Paola, Aversano, Alessia, Belli, Andrea, D’Amico, Maria, Delrio, Paolo, Izzo, Francesco, Patrone, Renato, Rega, Daniela, Maida, Pietro, Marra, Ester, Marte, Gianpaolo, Tufo, Andrea, Bianco, Francesco, Cappiello, Antonio, Gili, Simona, Incollingo, Paola, Novi, Alessandra, Bagaglini, Giulia, Iovino, Claudio, Tasselli, Francesco Menegon, Menna, Maria Paola, Romano, Francesco Maria, Rossi, Settimio, Sciaudone, Guido, Selvaggi, Francesco, Selvaggi, Lucio, Simonelli, Francesca, Coretti, Guido, Pannullo, Mario, Renzi, Adolfo, Ascari, Francesca, Barugola, Giuliano, Ruffo, Giacomo, Baroffio, Paolo, Bellora, Paolo, Benedetti, Laura Enrica, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Francone, Elisa, Gentilli, Sergio, Nikaj, Herald, Chessa, Antonella, Fiorini, Alessandro, Campagnaro, Luca, Chioffi, Franco, Ciccarino, Pietro, Colasanti, Roberto, Falco, Francesco, Kalfas, Fotios, Mattisi, Gioacchino, Nezi, Giulia, Palma, Matteo, Rizzoli, Angelica, Rossi, Domenico, Russo, Davide, Salvador, Renato, Volpin, Francesco, Bissolotti, Guido, Fusetti, Stefano, Lemma, Francesco, Chiantera, Vito, Di Donna, Mariano Catello, Sozzi, Giulio, Cammarata, Emanuele, Campanella, Sofia, Canzonieri, Daniela, Cordova, Adriana, De Michele, Federico, Dinoto, Ettore, Franza, Mara, Licari, Leo, Matta, Daniele, Mirabella, Domenico, Pecoraro, Felice, Pirrello, Roberto, Pugliese, Pierfrancesco, Rosatti, Fernando, Salamone, Giuseppe, Toia, Francesca, Tripoli, Massimiliano, Callari, Cosimo, Di Miceli, Dario, Annicchiarico, Alfredo, Bellanti, Luca, Bergonzani, Michela, Berretta, Roberto, Cabrini, Elisa, Capozzi, Vito Andrea, Catena, Fausto, Cozzani, Federico, Del Rio, Paolo, Domenichini, Marco, Fornasari, Anna, Freyrie, Antonio, Frusca, Tiziana, Giuffrida, Mario, Perrone, Gennaro, Rossi, Giulia, Rossini, Matteo, Varazzani, Andrea, Arici, Vittorio, Bozzani, Antonio, Cobianchi, Lorenzo, Filardo, Matteo, Milani, Marika Sharmayne, Ragni, Franco, Manzoni Garberini, Andrea, Baldini, Edoardo, Carpaneto, Diana, Cauteruccio, Michele, Ciatti, Corrado, Conti, Luigi, Gattoni, Serena, Maniscalco, Pietro, Palmieri, Gerardo, Pagliarello, Calogero Puma, Caristo, Giuseppe, Galleano, Raffaele, Malerba, Michele, Calabrò, Marcello, Farnesi, Francesca, Lunghi, Elia Giuseppe, Muratore, Andrea, Federico, Nicoletta Sveva Pipitone, Abel, Joel Reuben, Andreani, Lorenzo, Antonio, Darienzo, Aprile, Vittorio, Balestri, Riccardo, Benettini, Giacomo, Berrettini, Stefano, Bruschini, Luca, Chiarugi, Massimo, Coccolini, Federico, Colangeli, Simone, Cremonini, Camilla, Mencacci, Lodovica Cristofani, Dallan, Iacopo, De Santi, Silvia, Di Franco, Gregorio, Di Girolami, Lorena, Fiacchini, Giacomo, Furbetta, Niccolò, Korasidis, Stylianos, Lucchi, Marco, Morandi, Andrea, Morelli, Luca, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Porcelli, Francesco, Puccini, Marco, Roffi, Nicolo, Statuti, Erica, Tartaglia, Dario, Tonelli, Alberto, Vianini, Matteo, Baronio, Gianluca, Montuori, Mauro, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Maffeis, Federica, Ubiali, Paolo, Aguzzoli, Lorenzo, Coiro, Saverio, Falco, Giuseppe, Mandato, Vincenzo Dario, Mastrofilippo, Valentina, Mele, Simone, Baldi, Caterina, Corbellini, Carlo, Sampietro, Gianluca Matteo, Dugo, Massimo, Garino, Mauro, Marafante, Chiara, Masciandaro, Antonio, Moggia, Elisabetta, Murgese, Alessandra, Agro, Felice Eugenio, Capolupo, Gabriella Teresa, Carannante, Filippo, Caricato, Marco, Denaro, Vincenzo, Mazzotta, Erica, Papalia, Rocco, Pascarella, Giuseppe, Strumia, Alessandro, Zampogna, Biagio, Cinquepalmi, Matteo, Colasanti, Marco, Del Basso, Celeste, Falaschi, Federica, Guglielmo, Nicola, Meniconi, Roberto Luca, Pecoraro, Alessandra, Usai, Sofia, Crescentini, Giacomo, Larcinese, Antonella, Picone, Emanuele, Sinibaldi, Giovanni, Agnes, Annamaria, Agnes, Salvatore, Alfieri, Sergio, Belia, Francesco, Bianchi, Valentina, Bianco, Giuseppe, Biondi, Alberto, Campennì, Paola, Cozza, Valerio, D’Archi, Sabatino, D’Ugo, Domenico, De Simone, Veronica, Di Grezia, Marta, Di Lorenzo, Sofia, Ferracci, Federica, Fico, Valeria, Franceschini, Gianluca, Fransvea, Pietro, Gasparini, Giulio, Gordini, Luca, La Greca, Antonio, Litta, Francesco, Lombardi, Celestino Pio, Marra, Angelo Alessandro, Parello, Angelo, Pascale, Marco Maria, Patini, Romeo, Pepe, Gilda, Persiani, Roberto, Puccioni, Caterina, Ratto, Carlo, Rosa, Fausto, Saponaro, Gianmarco, Scardina, Lorenzo, Silvia, Tedesco, Tropeano, Giuseppe, Benevolo, Maria, Bugada, Daniele, Campo, Flaminia, Dona, Maria Gabriella, Manciocco, Valentina, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Pellini, Raul, Petruzzi, Gerardo, Pichi, Barbara, Simone, Giuseppe, Tuderti, Gabriele, Zocchi, Jacopo, Cosentino, Luigi Marino, Sagnotta, Andrea, Angelico, Roberta, Bellato, Vittoria, Campanelli, Michela, Franceschilli, Marzia, Grande, Michele, Lisi, Giorgio, Manzia, Tommaso Maria, Petagna, Lorenzo, Sensi, Bruno, Sica, Giuseppe, Siragusa, Leandro, Tisone, Giuseppe, Assenza, Marco, Binda, Barbara, Biondi, Massimo, Brachini, Gioia, Bruzzaniti, Placido, Casagrande, Mauro, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, Crocetti, Daniele, D’Ambrosio, Giancarlo, D’Andrea, Vito, De Felice, Francesca, De Toma, Giorgio, Rocca, Carlo Della, Duranti, Giulia, Familiari, Pietro, Fiori, Enrico, Fonsi, Giovanni Battista, Frati, Alessandro, La Rocca, Stefania, La Torre, Filippo, Lapolla, Pierfrancesco, Marruzzo, Giovanni, Meneghini, Simona, Mingoli, Andrea, Picchetto, Andrea, Polimeni, Antonella, Ribuffo, Diego, Salvati, Maurizio, Santoro, Antonio, Sapienza, Paolo, Simonelli, Luigi, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, D’Annunzio, Simone, De Nunzio, Cosimo, Fiorelli, Silvia, Ibrahim, Mohsen, Loffredo, Chiara, Massullo, Domenico, Menna, Cecilia, Monica, Rocco, Pelli, Massimiliano, Rendina, Erino Angelo, Teodonio, Leonardo, Tubaro, Andrea, Argenio, Giulio, Accarino, Giulio, Giancarlo, Accarino, Giordano, Antonio Nicola, Cardinali, Luca, Sebastiani, Elisa, Travaglini, Grazia, Andreatta, Erika, Asti, Emanuele Luigi Giuseppe, Bernardi, Daniele, Bonavina, Luigi, Froiio, Caterina, Lovece, Andrea, Copelli, Chiara, Manfuso, Alfonso, Di Maio, Pasquale, Giudice, Marco, Iocca, Oreste, Cennamo, Rosario, Cornali, Tommaso, Di Marzo, Francesco, Altana, Cristian, Bussu, Francesco, Capobianco, Giampiero, Carta, Anna Giacomina, Ciccarello, Sandro, Cossu, Maria Laura, Cottu, Pietrina, De Riu, Giacomo, Dessole, Salvatore, Dessole, Francesco, Dettori, Salvatora, Doria, Carlo, Fancellu, Alessandro, Feo, Claudio F, Ginesu, Giorgio Carlo, Giuliani, Giuliana, Iannuccelli, Marco Giuseppe, Madonia, Massimo, Mancino, Roberto, Massarelli, Olindo, Meloni, Gianfranco, Milia, Fabio, Mulliri, Andrea, Perra, Teresa, Petrillo, Marco, Piras, Antonio, Piredda, Franco, Pisanu, Francesco, Porcu, Alberto, Rizzo, Davide, Sanna, Angelino, Scanu, Antonio Mario, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Tedde, Alessandro, Tedde, Matteo, Vaira, Luigi Angelo, Pazzi, Andrea Bartalini Cinughi, Samorani, Osvaldo Carpineto, Fusario, Daniele, Marano, Luigi, Oldrà, Gaia, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Ricchiuti, Vincenzo, Roviello, Franco, Savelli, Vinno, Abrate, Alberto, Bordoni, Pierpaolo, Bosio, Lorenzo, Clarizia, Guglielmo, Fleres, Francesco, Franzini, Marco, Fratto, Antonio, Giumelli, Pierluigi, Grechi, Alessandro, Longhini, Alessandro, Lorusso, Fabrizio, Scarnecchia, Elisa, Scolari, Federica, Spolini, Alessandro, Maiuri, Vincenzo, Papandrea, Matteo, Roncone, Arturo, Conti, Lorenzo, Rizzi, Andrea, Rovagnati, Marco, Brolese, Alberto, Cai, Tommaso, Ciarleglio, Francesco Antonio, Dalprà, Francesca, Malossini, Gianni, Mereu, Liliana, Tamanini, Irene, Tateo, Saverio, Viel, Giovanni, Battistella, Enrico, Rizzo, Paolo Boscolo, Fabbris, Cristoforo, Massani, Marco, Spinato, Giacomo, Tutino, Roberta, Grossi, Ugo, Iacomino, Alessandro, Novello, Simone, Romano, Maurizio, Rossi, Serena, Santoro, Giulio, Zanus, Giacomo, Trungu, Sokol, Aizza, Giada, Bellio, Gabriele, Bogoni, Selene, Bortul, Marina, Casagranda, Biagio, Cortinovis, Sara, Manzini, Nicolò, Drigo, Davide, Germani, Paola, Mastronardi, Manuela, Paiano, Lucia, Palmisano, Silvia, Filosso, Pier Luigi, Guerrera, Francesco, Marro, Matteo, Rinaldi, Mauro, Ruffini, Enrico, Salizzoni, Stefano, Bardelli, Laura, Berselli, Mattia, Borroni, Giacomo, Cocozza, Eugenio, Desio, Matteo, Elisa, Bottazzoli, Ietto, Giuseppe, Iori, Valentina, Iovino, Domenico, Livraghi, Lorenzo, Marchionini, Valentina, Megna, Stefano, Nahal, Emma Amal, Palumbo, Mara, Quintodei, Valeria, Zullo, Alessandra, D’Alimonte, Lucrezia, Pirozzolo, Giovanni, Vignotto, Chiara, Campagnaro, Tommaso, Caravati, Andrea, Conci, Simone, De Cristofaro, Carlotta, Gecchele, Gabriele, Giuliani, Tommaso, Graziosi, Jacopo, Guglielmi, Alfredo, Paiella, Salvatore, Pedrazzani, Corrado, Pollini, Tommaso, Rattizzato, Simone, Ruzzenente, Andrea, Salvia, Roberto, Turri, Giulia, Bacchion, Matilde, Butturini, Giovanni, Casaril, Andrea, Giardino, Alessandro, Impellizzeri, Harmony, Inama, Marco, Isabella, Frigerio, Moretto, Gianluigi, De Zuanni, Marco, Deiana, Enrica, Guglielmo, Mario, Broglia, Alessandro, Casarini, Claudia, Zingaretti, Caterina Costanza, Bonaldi, Marta, Cesana, Giovanni, Mastriale, Francesco, Olmi, Stefano, Fukami, Matteo Uccelli Yasuyuki, Saito, Takuya, Sano, Tsuyoshi, Hirai, Naoki, Hirota, Kazuyoshi, Kushikata, Tetsuya, Oyama, Tasuku, Saito, Junichi, Ishibashi, Katsuhiko, Kamiyama, Mizue, Son, Kyongsuk, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Aze, Chisaki, Deguchi, Yoshihiko, Hasegawa, Hirotoshi, Hoshino, Tatsuki, Innami, Yasushi, Inoue, Hiroyuki, Ito, Shingo, Nomura, Takeshi, Ogihara, Tomomi, Okada, Reina, Ouchi, Takashi, Sekiya, Yuri, Tachibana, Keikoku, Takano, Emi, Yamamoto, Masae, Matsuda, Shuko, Matsuki, Yuka, Shigemi, Kenji, Hiraki, Teruyuki, Inoue, Yui, Jotaki, Shosaburo, Abe, Tatsuro, Eto, Masatoshi, Inokuchi, Junichi, Kashiwagi, Eiji, Kinoshita, Fumio, Kobayashi, Satoshi, Lee, Ken, Matsumoto, Takashi, Monji, Keisuke, Naganuma, Hidekazu, Shiota, Masaki, Takeuchi, Ario, Obara, Shinju, Takatsuki, Saori, Tanaka, Saori, Iida, Koji, Kagawa, Kota, Neshige, Shuichiro, Chaki, Tomohiro, Hirata, Naoyuki, Kazuma, Satoshi, Kimizuka, Motonobu, Kumita, Sho, Nishihara, Noriaki, Satoshi, Sato, Sawada, Atsushi, Tachibana, Shunsuke, Yamakage, Michiaki, Nakamura, Yuta, Sato, Kozo, Irie, Tomoya, Irisawa, Tomoko, Kanemaru, Eiki, Koga, Yuko, Chiba, Yoshihiko, Makino, Jun, Ohama, Shinnosuke, Okada, Shinichiro, Teruaki, Kano, Kida, Tatsuya, Takei, Tomohide, Hanazaki, Kazuhiro, Kitagawa, Hiroyuki, Namikawa, Tsutomu, Mizota, Toshiyuki, Takeda, Chikashi, Yagi, Shintaro, Imai, Hiroshi, Ishitobi, Makoto, Kato, Manabu, Nishikawa, Kouhei, Sasaki, Takeshi, Yonekura, Hiroshi, Kanaya, Akihiro, Irimada, Daisuke, Ishikawa, Haruka, Kaiho, Yu, Ida, Mitsuru, Kawaguchi, Masahiko, Kawamura, Kenji, Ogawa, Munehiro, Okada, Hiroshi, Endo, Shunji, Fujiwara, Yoshinori, Higashida, Masaharu, Kubota, Hisako, Okada, Toshimasa, Tanaka, Hironori, Ueno, Tomio, Yoshimatsu, Kazuhiko, Kikukawa, Motohiro, Kuriyama, Akira, Matsushime, Susumu, Hidehiko, Hishikawa, Hino, Haruaki, Hisamatsu, Yoji, Kamiya, Akio, Kinoshita, Hidefumi, Kita, Masato, Kobayashi, Toshinori, Michiura, Taku, Miki, Hirokazu, Murakawa, Tomohiro, Okada, Hidetaka, Saito, Tomohito, Saito, Ryoichi, Sugi, Motohiko, Sumi, Genichiro, Yamaki, So, Yamamoto, Tomohisa, Yoshida, Aya, Kambara, Tatsuya, Kanematsu, Sayaka, Satoshi, Okazaki, Hijikawa, Takeshi, Kitade, Hiroaki, Yanagida, Hidesuke, Fujita, Tomoyuki, Fukushima, Satsuki, Tadokoro, Naoki, Furukawa, Taku, Iizuka, Yusuke, Otsuka, Yuji, Sanui, Masamitsu, Sawada, Ikumi, Iwahashi, Hideki, Miyamoto, Morikazu, Takano, Masashi, Mieda, Tsutomu, Ando, Chihiro, Isada, Tetsuro, Ishizaki, Taku, Amer, Qaed Bani, Ishida, Sachi, Kobayashi, Yasuma, Kuratani, Norifumi, Sakurai, Tomoe, Takada, Misa, Iba, Yutaka, Tsukagoshi, Junji, Yamada, Akira, Amano, Yuki, Fumoto, Kentaro, Noro, Shusaku, Fujimoto, Ayataka, Tomoto, Kyoichi, Okamura, Yukiyasu, Sugiura, Teiichi, Uesaka, Katshuhiko, Takemura, Natsuki, Kuroda, Kento, Hayashi, Megumi, Kaneko, Satoi, Kawagoe, Izumi, Kochiyama, Tsukasa, Yamaguchi, Ai, Abe, Nobutsugu, Ando, Tadao, Chinzei, Mieko, Hirano, Kouichi, Kobayashi, Yoichi, Matsuki, Ryota, Matsumoto, Hironori, Motoyasu, Akira, Nakazawa, Harumasa, Noguchi, Hikari, Okamura, Kaio, Ono, Motoaki, Seki, Hiroyuki, Sunami, Eiji, Tajima, Atsushi, Tanigaki, Shinji, Uzawa, Kohji, Watanabe, Hidenobu, Furuhata, Yukari, Toyama, Satoshi, Uchida, Tokujiro, Enomoto, Yutaka, Furukawa, Yuri, Hasumi, Yoko, Hirota, Jinso, Iida, Katsuyuki, Ikeda, Shingo, Ikeda, Tatsuhiko, Kawamata, Natsuko, Kawasaki, Yosuke, Koizumi, Minako, Kono, Yoshiharu, Kuzuhara, Shigeki, Maeda, Junichi, Moriyama, Mai, Nagamoto, Shoichi, Nakanishi, Rinako, Noda, Michio, Seichi, Atsushi, Takahashi, Shintaro, Takashi, Kobayashi, Takeda, Misuzu, Tanakura, Kenta, Terajima, Katsuyuki, Tsuji, Munechika, Ueshima, Chiharu, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Yuri, Sakoh, Iwata, Shintaro, Kawai, Akira, Osaki, Shuhei, Ishikawa, Masashi, Iwasaki, Masae, Morita, Tomonori, Hirooka, Reina, Nakata, Yoshinori, Sawamura, Shigehito, Ishida, Yusuke, Kawachi, Aya, Kobayashi, Takayuki, Nagashima, Fumiaki, Suzuki, Naoki, Ando, Kohei, Miyazawa, Noriko, Tanaka, Yukio, Abuissa, Khatab, Aljabali, Alaa, Almasri, Amal, Alrabadi, Mera, Alshara, Rana, Alzghoul, Yasmeen, Alzughoul, Ahmed, Freihat, Ali, Jeitan, Emran, Owais, Qais, Smadi, Aseel, Abukhadra, Mahmoud, Abunawas, Huthifa, Al‐azzam, Abdallah Ahmed Mezel, Aladaileh, Ammar, Albadawi, Ismail, Alhawatmeh, Mohammad, Alkhaza’Leh, Mohannad Yaser, Alneimat, Roaa Salem Jwaid, Alwahedy, Saba, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, El‐qawaqzeh, Khaled, Hrerat, Tarteel, Jaradat, Enas, Mubaydeen, Teeba, Sarayrah, Husam, Tarawneh, Mohammad Abdel Elah A., Karasneh, Mohammad Yousef, Zurgan, Amany, Alassaf, Mohammad, Alzraikat, Sayel H., Amarin, Justin Z., Hijjawi, Ahmed, Suradi, Haya H., Zaghlol, Louay Y., Abdalah, Ahmad, Abdallah, Ghaida, Tarieh, Ammar Abu, Abu‐libdeh, Tareq, Abualteen, Faisal, Al Abdallah, Murad, Al Bdour, Zakaria, Al Dahabrh, Seif, Al‐kasaji, Farah, Ali, Zaid 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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, 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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, 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Ali, Abdullah, Duha Milad, Abusalem, Marwa, Esmael, Esraa Ben, Benmasoud, Fatma, Debri, Laila, Elmokhtar, Randa, Sheta, Manal Ezeddin Kamel, Elhabashi, Bushra Sayeh Mohamed, Younis, Balkees, Elmabrouk, Amna, Momen, Ahmed, Alzoubi, Abdalrahem Essied Alzubi, Ayad, Kusay, Hasan, Ameerah Mahdi Abraheem, Musrati, Fawzie, Abusannoga, Malek, Malek, Ans, Ajaj, Hatem, Abdulwahed, Eman, Aboubeirah, Mohammed, Alqurpaa, Aya, Alshareea, Entisar, Aribi, Sarra, Aribi, Tomather, Biala, Marwa, Ghamgh, Reem, Issa, Mohannned, Lamari, Amani Hamid, Mufth, Mohammed, Abboud, Omar Sudig, Hallalah, Muad Fathi Khalleefah Abu, Abumahara, Saleh, Aburima, Sarah, Adrees, Mohammed, Ahtash, Abdurahman, Al Shukri, Asmaa, Alameen, Hind, Alarabi, Rehab, Alarabi, Alarabi, Alelwany, Aisha, Alesmail, Abdulkarim, Algadi, Noran, Almaqrahi, Khuloud, Alosta, Hadel, Alsharedi, Mohamed, Bashir, Rasha, Ghrema, Mahmoud Ben, Nour, Sari Bin, Elbarouni, Sofian, Elhadi, Ahmed, Elkhadar, Abdulmohimen A, Elkouba, Esraa, Elmsherghi, Nabiha, Gammoudi, Abdulmohimen, Ghariba, Abdulraouf, Gjam, Fatima Zayed, Haidar, Arwa, Helal, Hala, Huwaysh, Mohammed, Alhadheeri, Ahmed Khalid, Kriem, Eslam, Osman, Halim, Ossman, Mohamed Ali, Shilfeet, Marwah, Turshani, Laila, Albishty, Nouran, Alhadi, Abdulmueti, Ali, Salem, Altoumi, Manal Ahmed, Bahroun, Sumayyah Ghayth, Younes, Eman, Atarabulsi, Hana, Elshaibi, Mohamed, Othman, Abdullmujeeb, Hasan, Hayat Ben, Hasan, Najat Shaban Ben, Hasan, Rabab Shaban Ben, Barauskas, Vidmantas, Dainius, Edvinas, Dambrauskas, Zilvinas, Dauksa, Albertas, Dekeryte, Inga, Gudaityte, Rita, Jasaitis, Kristijonas, Koženiauskaitė, Akvilė, Krasauskas, Virgilijus, Lukosiute‐urboniene, Ausra, Maleckas, Almantas, Riauka, Romualdas, Šlenfuktas, Vygintas, Svagzdys, Saulius, Urbonas, Kestutis, Vanagas, Tomas, Venclauskas, Linas, Venskutonis, Donatas, Zilinskas, Justas, Ambrazevicius, Marijus, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Eismontas, Vitalijus, Jurgaitis, Jonas, Mikutaitis, Vytenis, Petrauskas, Donatas, Samalavicius, Narimantas Evaldas, Simcikas, Dainius, Slepavicius, Algirdas, Tamosiunas, Albinas, Turskis, Vaidotas, Vasiliauskas, Bernardas, Aniukstyte, Laura, Dulskas, Audrius, Januška, Gediminas, Kuliavas, Justas, Montrimaite, Margarita, Cekauskas, Albertas, Kaminskas, Azuolas Algimantas, Kozenevskis, Sarunas, Poskus, Tomas, Strupas, Kestutis, Zelvys, Arunas, Decker, Georges, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Lucas, Randimbinirina Zakarimanana, Andriantsoa, Herimampionona E, Rasamoelina, Mamisoa B, Vatosoa, Rakotonarivo Aina Andrianina, Andriamanana, Liantsoa, Finaritra, Casimir FP Rahantasoa, Raherison, Aristide Romain, Rajaobelison, Tsirimalala, Rakotoarisoa, Haritiana, Ramifehiarivo, Maharo, Ranaivoson, Solonirina Harinarindra, Randriantsoa, Hajamihamina Marina Parfaite, Razafimanjato, Narindra Njarasoa Mihaja, Razafindrahita, Jeannie BA, Solofoarimanana, Solofoarimanana, Tsiambanizafy, Guillaume Odilon, Judicaël, Rakotonaivo Mamisoa, Solo, Corinne Eulalie, Ralaizafindraibe, Tojomamy Herinjaka, Andofenohasina, Fanonjomahasoa Safiry, Rasataharifetra, Hanta, Razafindraibe, Vanona Barijaona, Herinirina, Angelin Sablon, Das, Andre, Ganapathy, Thanga, Gunarasa, Yohesuwary, Mariapan, Kalyani, Muniandy, Maathichsudhaar, Osman, Mohd Firdauss, Azmi, Mohd Azem Fathi Mohammad, Soh, Jien Yen, Zain, Wan Zainira Wan, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Chan, Kheng Hooi, Hayati, Firdaus, Johan, Syamim, Mah, Jin Jiun, Sriram, Ratha Krishnan, Subramaniam, Sentilnathan, Shahimi, Nur Shahirah Binti Muhammad, Hamdan, Khairul Hazim, Ibrahim, Mohd Razali, Muthkumaran, Guhan, Tan, Ju Ann, Thanapal, Mohana Raj, Aziz, Dayang Anita Abdul, Bastion, Mae‐lynn, Harun, Mohd Hairul Nizam, Imran, Farrah‐hani, Din, Norshamsiah Md, Zain, Ayesha Mohd, Mustapha, Mushawiahti, Nabil, Syed, Naffi, Ainal Adlin, Nazimi, Abd Jabar, Ramli, Roszalina, Soon, Bee Hong, Bal, Pavin, Cheng, Joo Qing, Draman, Mohd Rusdi, Fadzli, Ahmad Nazran, Ghauth, Sakina, Hung, Weipin, Jamaris, Suniza, Koh, Peng Soon, Krishnasamy, Sivakumar, Lee, Yeong Sing, Liew, Yew Toong, Lim, Jeffery Zk, Lim, Raymond Chung Siang, Lim, Hiong Chin, Pauzi, Siti Farhan Moh, Nah, Shireen Anne, Nair, Ashvin Krishna, Doris Sin Wen, Ng, Yong, Yuki Julius Ng We, Ramayah, Kamarajan, Saaid, Rahmah, Sanmugam, Anand, See, Mee Hoong, Seevalingam, Kanesh Kumaran, Sethi, Neha, Singaravel, Srihari, Zaidi, Syeda Nureena Syed Jafer Hussain, Tang, Chu Yik, Teoh, Li Ying, Wong, Kian Boon, Xavier, Ruben, Yahaya, Ahmad Shuib, Norhafiza, Ab, Rahman, Null, Islah Munjih, Ab, Rashid, Null, Aziz, Mohd Fahmi Abd, Rahman, Mohd Norhisham Azmi Abdul, Amjad, Nasser Muhammad, Alhadi, Shahidah Che, Elagili, Faisal, Kamarulzaman, Mohd Nazli, Nor, Azmi Md, Othman, Ahmad Faidzal, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ibrahim, Aini Fahriza, Ahmad, Abdul Rauf Bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Wong, Hui Yu, Zakaria, Jasiah, Aziz, Nor Azimah Abd, Rahim, Norazila Abdul, Rahman, Noorneza Abdul, Abdullah, Bahiyah, Sikkandar, Mohamed Faizal Bin, Firman, Fatin, Hazleigh, Nik Mohd, Kamarudin, Intan Kartika, Khalid, Shahril, Miswan, Mohd Fairudz Mohd, Zahid, Akmal Zulayla Mohd, Mustafa, Norasyikin, Obaid, Kadhim, Yahaya, Mohd Yusoff Bin Yahaya, Yusoff, Ahmad Ramzi, Andrejevic, Predrag, Myatt, Jeremy Borg, Brincat, Svetlana, Caruana, Clifford, Chircop, Kurt Lee, Chircop, Francesca, Chircop, Daniel Mario, Cini, Charles, Czok, Viktoria, Farrugia, Melanie, Grima, Gabriella, Almukhariq, Fatimah MJ Hassan, Muscat, Esther, Pisani, Darryl, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Shoukry, Mohamed, Spiteri, Neville, Tanti, Gilbert, Hasan, Ziad Aboharp, Soto, Alberto Bazan, Rubén, Cedillo Rodrìguez Jonathan, Zamudio, Gustavo Esteban Lugo, Gómez, David Gerardo Miranda, Meave, José Alfredo Pérez, Victor Pinto Angulo, Null, Aguilar, Antonio Rojas, Duran, Erik Efrain Sosa, Perez, Alejandro Vàzquez, Arroyo, Diego, Corona‐cruz, Jose, Martinez‐said, Hector, Medina‐franco, Heriberto, Mendez, Manuel, Suárez Ma, Teresa Moreno Y, Díaz, Dolores Orta, León Vázquez, Martha Patricia Pérez, Carvajal, Angélica Azucena Soto, Hernández, Fidel Soto, Stenner, Juan Ignacio, López, Adriana Valenzuela, Hernandez, Mauricio Rene, Romero, Rey Jesus, Hernandez, Aldo Bernal, Cortes‐flores, Ana Olivia, Valle, Carlos Jose Zuloaga Fernandez, Tinajero, Carlos Andres Colunga, Orozco‐perez, Jaime, Balboa, Laura Gabriela Peña, Yanowsky‐reyes, Guillermo, Torres, Víctor Hugo Alcalá, Camacho, Francisco José Barbosa, Perez, Irma Valeria Brancaccio, Calderon‐llamas, Miguel Angel, Gomez, Aldo Camacho, Cortes‐torres, Edgar‐joaquin, Cueva‐martinez, Esteban, Anguiano, Oscar Durán, Estrada, Isaac Esparza, Fierro‐rizo, Roberto, Becerril, Paola Flores, Orozco, Clotilde Fuentes, Castillo, Miguel García, Ojeda, Alejandro Gonzalez, Rubio, Ana Sofia Gonzalez, Rojas, Erick Alonso González‐García, Govea‐camacho, Luis Humberto, Barba, Jose Aldo Guzman, Peña, Juan Carlos Ibarrola, Martínez, César íñiguez, Llamas‐macias, Francisco Javier, Galaviz, Ruben Eduardo Morán, Nuño‐escobar, Cesar, Olvera‐flores, Oscar‐everardo, Osuna‐rubio, Jaqueline, Pérez‐navarro, Jose Victor, Prieto‐aldape, Rodrigo, Gonzalez, Luis Ricardo Ramirez, Sánchez, Marco Vinicio Ramírez, Reyes, Emilio, Romero‐limón, Olaya Moramay, Ruiz‐velasco, Carlos Beas, Martínez, José Antonio Sánchez, Sanchez‐villaseñor, Guillermo, Sedano‐portillo, Ismael, Gonzalez, Gabriela Ambriz, Moreno, Pedro Berrones Moreno Berrones, Alvarado, Ana Beatriz Calderon, Jesús Cárdenas Barón, José, Hernández, Araceli, Frutos, Francisco Javier León, Hernandez, Edgard Efren Lozada, Valencia, Eduardo Morales, Pérez, Karla Daniela, Bolanos‐morales, Francina, Herrera‐zamora, Julio, Santillan‐doherty, Patricio, Zavala, David Omar Arriaga, Campos, Salvador Francisco Campos, Carmona, Lizette, Nava, Antonio Galindo, Santos, Blanca, Cisneros, Juan Roberto Torres, Bozada‐gutiérrez, Katya, Herrera, Jose Jesus, Portillo, Mucio Moreno, López, Francisco Pérez, Trejo‐avila, Mario, Salazar, Carlos Valenzuela, Alvarez, Maria Regina, Cordera, Fernando, Rosa Abaroa, Marco Antonio, Gómez‐pedraza, Antonio, Hernandez, Roberto, Maffuz‐aziz, Antonio, Posada, José Antonio, Vidal, Carlos Robles, Beristain‐hernandez, Jose‐luis, Sada, Blas Eduardo Quintero, Heredia, Nicolás Uxmal Soruco, Anaya, Ernesto, Arceo‐olaiz, Ricardo, Sougarret, Bernardo Gutiérrez, Flores, Sonia Lopez, Ochoa Carrillo, Francisco J., Uribe, Raymundo Alfredo Pérez, Silva, Ludwigvan Adriano Bustamante, Lupián‐angulo, Arianne I, Martínez, Christian Enrique Soulé, García, Francisco César Becerra, Casillas, Ernesto Javier Guerrero, Uribe, Edgar, Arias, Nereida Esparza, Hernández‐nava, J. Mindy, Isla‐ortiz, David, Melchor‐ruan, Javier, Bañuelos, Esmeralda Romero, Salcedo‐hernández, Rosa, Vilar‐compte, Diana, Peniche, Paola Zinser, Aguilar Frasco, Jorge L., Alfaro‐goldaracena, Alejandro, Buerba, Gabriela Alejandra, Castro, Emma, Chan, Carlos, Cortes, Ruben, Dominguez‐rosado, Ismael, Lechuga, Daniel Garay, Herrera, Miguel, Hinojosa, Carlos, Lopez‐pena, Gabriel, Martos, Edgar, Mercado, Miguel ángel, Velázquez, Paulina Moctezuma, Moguel, Roberto, Oropeza, Mariano, Portugal, Emmanuel Peña Gómez, Posadas‐trujillo, Oscar Emmanuel, Salgado‐nesme, Noel, Jasso, Oscar Santes, Sarre, Catherine, Skewes, Karla Yareli Hernandez, Jimenez, Cristian, Licona‐meníndez, Roque Delfino, Montiel, Guillermo, Navarrete‐peón, Alberto, Ortega, Shannat, Lechuga, Fernanda Romero, Roque, Oscar, Sevilla, Fernando, González‐lópez, Rogelio, Núñez‐gonzález, Roberto ángel, Ortega‐jiménez, José Antonio, Alvarado, Antonio, Orendain, Alfonso Alvarez Manilla, Pesquera, José Alberto Atristain, Frutos, Diego, Garcia, Felipe, León, Juan Antonio González, Guzman, Marlin, Herappe, Dorihela, Miranda, Jesús Giovanni Inzunza, Botello, Miguel Angel Jimenez, Lerma, Ricardo, Pedraza, Fabián Hilario Mendoza, Castillo, Monica Noguez, Resendiz, Jose Anatolio, García, Oscar Alejandro Sánchez, Rios, Laura Elena Fernandez, Frigerio, Pamela, Garcia, Iset, Frías, Gloria Isela Mendoza, Moreno, Emmanuel, Quiroga, Raquel, Mendoza, Alejandra Anzures, Hinojosa, Arantza Govela, Izaguirre, Aldo, Miguelena, Luis Hdez, Vazquez, Jose Manuel Luna, Rodriguez, Indalecio Barcelata, Mange, Raul Ramos, Utrera, Carlos Reyes, Saenz, David Zarate, Gonzalez, Miguel Angel Zavala, González, Francisco Andrade, Cortes, Ludivina, Roman, David, Sanchez, Aaron, Gurghiș, Radu, Rojnoveanu, Gheorghe, Vozian, Marin, Caraja, Petru, Croitor, Gheorghe, Mosneaga, Roman, Erdene, Sarnai, Ganbold, Lundeg, Orgoi, Sergelen, Orsoo, Soyombo, Sainbayar, Altanchimeg, Sandag, Erdene, Sanjaa, Burmaa, Benhamou, Rita Ait, El Azhari, Abdessamad, Ghita, Bennis, Lhassani, Sara, Louraoui, Sidi Mamoun, Rghioui, Mounir, Saaf, Sarra, Gadouali, Taha, Gouazar, Iltimass, Korch, Moniba, Letrache, Ahmed, Louari, Amina, Zamame, Anas, Ousouss, Samia, Zekhnini, Meryem, Abderrazaq, Hafni, Abichou, Wijden, Ahlaou, Hamza, Baicha, Amal, Baroudi, Salma, Chaoui, Ghita, El Azzazi, Hind, El Masaoudi, Saja, Hassoun, Chiraz, Moujtahid, Hajar, Riyahi, Anas, Zaim, Ouijdane, Aji, Narjiss, Ammouze, Imane, Arkha, Yasser, Bechri, Hajar, Belabbes, Meryem Benchekroun, Benslimane, Zaineb, Boualila, Lina, Bouanani, Othmane, El Ouahabi, Abdessamad, Hossyni, Leila Essakalli, Malik, Boulaadas, Oudrhiri, Mohammed Yassaad, Sefrioui, Taha Ismail, Tagmouti, Adam, Bensghir, Mustapha, Elkoundi, Abdelghafour, Belarabi, Othman, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, El Bouazizi, Yassine, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Mohsine, Raouf, Souadka, Amine, Kone, Badra Aliou, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Jeketera, Clara, Yeboah, Kwasi, Abebrese, John Tabiri, Mureko, Alfred, Quayson, Francis William, Shikongo, Justina, Bhusal, Subarna, Dwa, Yam, Joshi, Ashoo, Berkeveld, Eva, Bloemers, Frank, Borgstein, Alexander, Gisbertz, Suzanne, Mikdad, Sarah, Berge Henegouwen, Mark, Bakx, Roel, Besselink, Marc, Lemmers, Daniel HL, Roelofs, Anne‐jasmin, Amstel, Paul, Helsdingen, Claire, Smeele, Ludi, Harlaar, Niels, Jonker, Frederik, Burg, Sjirk, Oostendorp, Justin Y., Ombashi, Saranda, Voort, Tim, Geldorp, Martijn, Posma‐bouman, Lisanne, Boer, Hans Donald, Olieman, Annette, Smid‐nanninga, Henriette, De Vries, Jean‐Paul P. M., Hogenbirk, Rianne, Derksen, Tyche, Franken, Josephine, Oosterling, Steven, Nolte, Peter, List, Jelle, Alwayn, Ian, Bijlstra, Okker, Braat, Andries, Bulder, Ruth, Kok, Michèle, Faber, Robin, Goudsmit, Ben, Hamming, Jaap, Mieog, Sven, Vahrmeijer, Alexander, Leemkolk, Fenna E. M., Vorst, Joost, Schaik, Jan, Verhagen, Merel, Albers, Kim, Gawria, Larsa, Van Goor, Harry, Warle, Michiel, Ginhoven, Tessa M., Viëtor, Charlotte, Boerma, Evert‐jan, Lallitsch, Lara, Schweitzer, Donald, Leclercq, Wouter, Sijmons, Julie, Vancoillie, Peter‐jan, Konsten, Joop, Heinsbergen, Maarten, Dekker, Nicole, Boer, Frank, Dimech, Julian, Djamali, Kaveh, Fowler, Carolyn, Ghamri, Naji, Houston, Helen, Joseph, Reece, Kantroo, Astha, Kwun, Jin, Lie, Samuel, Lightfoot, Nicholas, Maccormick, Andrew, Olliff, Sue, Trilokekar, Natasha, Wood, Daniel, Ekanayaka, Aruna, Furkert, Chris, Nanayakkara, Asanga, Panesar, Divyansh, Waddell, Oliver, Bidois, Lauren, Clifford, Zoe, Frizelle, Frank, Glyn, Tamara, Lim, Eric, Lyons, Oliver, Mclauchlan, Jared, Nicholas, Ella, O’Grady, Michael, Roake, Justin, Singh, Harsh, Ailabouni, Ramez, Rietveld, John, Alqassab, Mohammed, Amer, Mostafa, Chan, Annie, Egbuji, John, Fullarton, Mairi, Haddow, James, Hawkins, Robyn, Vui Teck, Lu, Oliver, Thomas, Saw, Kai Sheng, Sugunesegran, Ramanen, Wilkins, James, Woodfield, Esther, Baker, Joseph, Cama, Jitoko, Field, Xavier, Fulivai, Alamea, Hossain, Ruhella, Kelly, Ben, Jasen, Ly, Mckelvie, James, Meiyappan, Vivek, Cindy Xin Yi, Ou, Singh, Vidit, Hedley, Alex, Temara, Hinerangi, Aitken, Jake, Frunt, Brytt, Boys, Max Hardie, Lakshman, Prashant, Pinfold, Esther, Cowan, Sarah, Henderson, Nigel, Leary, Jessica, Castle, Cameron, Gaston, Matt, Haimona, Maira, Jury, Steffanie, Lahood, Zoe, Lim, Matthew, Macintyre, Dillon, Mak, Josephine, Neal, Annelise, Shelker, William, Weeratunga, George, Ferguson, Liam, Harmston, Christopher, Heaven, Chelsea L, Watt, Imogen, Cahill, Henry Witcomb, Abdurrazzaaq, Abdussemee, Abdussalam, Hameedat Opeyemi, Adebanjo, Ademola, Ahmed, Aminat Olayinka, Borokinni, Opeyemi Busayo, Fasiku, Olushola Kayode, Gwaram, Usman, Okoye, Onyedika, Olaomi, Oluwole, Adeyeye, Ademola, Enoch, Elizabeth, Fayose, Samuel, Kayode‐nissi, Victor, Kadiri, Innih, Oduah, Stella, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Kwankiyel, Auwal Babayo, Umar, Shahir Bello, Hassan, Sulaiman, Ja’Afar, Abubakar Bappah, Ja’Afaru, Umma Hani, Kadas, Saidu, Liman, Haruna, Makama, Baje, Mohammad, Aminu Mohammad, Kirfi, Abdullahi Musa, Oyediji, Funmilayo, Mohammed, Husseini Yakubu, Akpoghor, Oghenevwegba, Arekhandia, Alexander, Dawodu, Oseyi, Edetanlen, Ekaniyere, Efobi, Chizoba, Egbor, Esezobor, Enaruna, Nosakhare, Ezeanochie, Michael, Ezenwa, Ekene, Ijekeye, Ferdinand, Imumoren, Joe, Iribhogbe, Oseihie, Irowa, Omorodion, Momoh, Moses, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Obuekwe, Ozoemene, Odai, Emeka Danielson, Odigie, Vincent, Odutola, Oluwatomi, Okhakhu, Amina, Okugbo, Stanley, Oni, Samson, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Ugwi, Veronica, Uwagboe, Charles, Yusuf, Sofiat, Abiodun, Adekunle, Akinloa, Olufemi, Shodipo, Moses, Abdullahi, Alhassan, Lawal, Ishak, Echieh, Chidiebere Peter, Nwagboso, Chimaobi, Udoh, Ubong, Akanni, Bolaji, Anyimba, Solomon, Chukwu, Isaac, Ezomike, Uchechukwu, Gold, Ikponmwosa, Nnabugwu, Ikenna, Nwafor, Ikechukwu, Okolie, Louis, Okoro, Kelechukwu, Okwara, Blasius, Onyemaechi, Ndubuisi, Abdulsalam, Khalifa, Arogundade, Abayomi, Kura, Mohammed, Nwosu, David, Abdullahi, Habiba, Agida, Eyaofun, Aisuodionoe‐shadrach, Oseremen, Ajibola, Hafees, Akaba, Godwin, Ale, Omolabake, Atim, Terkaa, Emeka, Malachy Ayogu, Benard, Adeka, Buba, Amina, Chinda, John, Edino, Stephen, Eniola, Sefiu, Garba, Stephen, Isah, Aliyu, Isah, Dennis Anthony, Joshua, Zaman, Mbajiekwe, Ndubuisi, Mshelbwala, Philip, Muhammad, Rafat, Offiong, Richard, Olute, Anne, Osagie, Olabisi, Ogolekwu, Idoko Pius, Sulaiman, Bilal, Suleiman, Salisu, Umar, Aminu, Abayomi, Olukayode, Abdus‐salam, Rukiyat, Adebayo, Sikiru A., Adeleye, Amos, Ademola, Samuel, Afuwape, Oludolapo, Ajao, Akinlabi, Akinsola, Sanusi, Aladelusi, Timothy, Ayandipo, Omobolaji, Baiyewu, Lateef Ayodele, Balogun, Mosimabale, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Elemile, Peter, Ezeme, Constantine, Fasunla, Ayotunde James, Gbolahan, Olalere, Iwuagwu, Ifeanyi, Michael, Afieharo, Morhason‐bello, Jemiludeen, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Ogundoyin, Olakayode, Ogunkeyede, Segun Ayodeji, Ogunrewo, Tolulope, Okere, Oghenekevwe, Oladejo, Titilola, Oladiran, Ajibola, Olagunju, Naomi, Olaoye, Ifedolapo, Olawoye, Olayinka, Olulana, Dare, Olusanya, Adeola, Omigbodun, Akinyinka, Onakoya, Paul, Orji, Mathias, Oyelakin, Oyeleye, Oyewole, Olugboyega, Sule, Samuel, Takure, Augustine O, Ugwu, Ebere, Afolabi, Bosede, Ajayi, Peter, Akinajo, Opeyemi, Alakaloko, Felix, Atoyebi, Oluwole, Belie, Orimisan, Bode, Chris, George, Ihediwa Chibuike, Elebute, Olumide, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo‐ajayi, Oluwaseun, Makanjuola, Ayomide, Makwe, Christian, Mofikoya, Bolaji, Ohazurike, Ephraim, Ojewola, Rufus Wale, Okunade, Kehinde, Okunowo, Adeyemi, Olajide, Thomas Olagboyega, Oni, Oluwafemi, Tijani, Kehinde, Ugburo, Andrew, Ugwu, Aloy Okechukwu, Abiola, Paul, Abiyere, Henry, Adebara, Idowu, Adeniyi, Adebayo, Adeyemo, Olabisi, Ariyibi, Abimbola, Babalola, Olakunle, Bakare, Adewumi, Banjo, Oluseyi, Egharevba, Peter, Obateru, John, Ojo, Owolabi, Olajide, Adewale, Oluwafemi, Fatudimu, Oyeleye, Oluwole, Salawu, Adedayo, Babatunde, Bakare Tajudeen Ishola, Abdulsalam, Moruf, Adelaja, Aderinsola, Adeniran, Abimbola, Ajai, Olalekan, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Faboya, Omolara, Idowu, Olufemi, Idowu, Jeuel, Mustapha, Muntaqa, Omisanjo, Olufunmilade, Osuoji, Roland, Vitowanu, Julius, Abe, Anthonia, Aderounmu, Adewale, Adesunkanmi, Abdulhafiz, Ajekwu, Temitope, Ajekwu, Samuel, Ajiboye, Olalekan, Aderogba, Adeleke Akeem, Alatise, Olusegun Isaac, Babatunde, Mustapha, Balogun, Simon, Ijarotimi, Adebimpe, Lawal, Adedayo, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Ubom, Akaninyene Eseme, Agbaje, Ademola, Mohammed, Tajudeen, Adeniran, Abiodun, Adesola, Muideen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ayinmode, Iyehunwa, Bello, Jibril, Ezeoke, Grace, Gwadabe, Sadiya, Ibraheem, Gbadebo, Ibrahim, Saidu, Ijaiya, Munir’Deen, Nasir, Abdulrasheed, Odeyemi, Peter Olalekan, Ogunade, Olukayode, Olabinjo, Afusat, Olatoke, Samuel Adegboyega, Olowogbayi, Tope, Onjefu, Stephen, Popoola, Ademola, Raji, Hadijat Olaide, Salawu, Nasiru, Salawu, Hafeez, Sayomi, Tolulope Olayinka, Segun‐busari, Segun, Uche‐okonkwo, Kenechukwu, Abiola, Olajide, Anipole, Olalekan, Ogunlaja, Olumuyiwa, Adesina, Oluwaseyi, Alayande, Barnabas, Ebenezer, John, Enwerem, Kenneth, Isichei, Christian, Isichei, Mercy, Luku, Pwaluke, Omiragi, Paul, Onyeji, John, Adze, Joel, Aghadi, Ifeanyi, Auta, Akawu, Duniya, Sharon, Gyuro, Joseph, Lawal, Jamila, Makama, Jerry Godfrey, Mohammed, Garba, Mohammed‐durosinlorun, Amina, Salisu, Kabiru, Taingson, Matthew, Yusuf, Nuhu, Amos, Happy, Daniel, James, Takai, Idris Usman, Abdullahi, Lawal, Abdullahi, Sani, Abdulrahman, Mamuda, Abubakar, Mohammed Kabir, Adikaibe, Valentine, Ahmad, Misbahu, Ahmad, Jameel Ismail, Aji, Sani Ali, Aliyu, Mohammed Salele, Danagundi, Maryam Babba, Bako, Yusuf Halidu, Bello‐muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Ismail, Hassan, Sadiq, Usman, Mustapha Ibrahim, Ismail, Nasiru, Jibril, Yasir Nuhu, Kurawa, Musbahu, Magashi, Mahmoud Kawu, Martins, Bardi, Bello, Usman Mohammed, Muhammad, Saminu, Muhammad, Abubakar Bala, Muhammad, Shamsuddeen, Daneji, Sulaiman Muhammad, Mukhtar, Ibrahim Aliyu, Adamu, Kabir Musa, Nwachukwu, Callistus, Omeje, Uchenna Kelvin, Orji, Ifeanyi James, Sheshe, Abdurrahman Abba, Suleiman, Ibrahim, Yunusa, Sani Abdullahi, Maryam, A, Abubakar, Kabiru Bello, Habib, Saudat Garba, Mahmood, Farrukh, Alabi, Ibrahim Abolaji, Arojuraye, Soliudeen, Salihu, Mohammed, Alade, Samuel, Kumolalo, Felix, Mogbo, Chiedozie, Adebayo, Olaolu, Ige, Oluwasuyi, Jones, Gbenga, Odunafolabi, Tunde, Olubayo, Oluniyi Oyetunde, Akani, Chris, Alasia, Datonye, Alegbeleye, Justina Omoikhefe, Aria, Oti Nimi, Awopeju, Abimbola, Edonkumoh, Kemebradikumo, Ekeke, Onyeanunam, Fyneface‐ogan, Sotonye, John, Celestine, Kasso, Terhemen, Korubo, Inye, Mato, Christie, Ogu, Rosemary, Okpani, Charles, Okpani, Anthony, Onwuagha, Ijeoma, Oppah, Ijeoma, Oputa, Victory, Oranu, Emmanuel, Orazulike, Ngozi, Otokwala, Job, Ugboma, Henry A. A, Ajayi, Adekunle, Ogundele, Ibukunolu, Salami, Babatunde, Ajagha, Okeoghene, Ali, Yakubu, Awaisu, Mudi, Daniyan, Muhammad, Fidelis, Lovely, Nwabuoku, Stanley Emeka, Ogunsua, Oluseyi, Oyelowo, Nasir, Sholadoye, Tunde T., Yakubu, Alfa, Rendevski, Vladimir, Shuntov, Blagoj, Shuntov, Natalija Cokleska, Georgieva, Gordana, Jovanoski, Tomislav, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Srbov, Blagoja, Trajkova, Andrijana, Trenchev, Viktor, Dohcev, Sasho, Janchulev, Josif, Saidi, Skender, Stankov, Oliver, Trifunovski, Aleksandar, Draz, Najib Abu, Al Ajmi, Khalil, Al Ajmi, Ghadeer, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Nawf, Al Bassam, Wameedh, Al Farsi, Maather, Al Ghafri, Wadha, Al Ghafry, Alaa, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Kalbani, Maha, Al Kharusi, Lamya, Al Kharusi, Safiya, Al Mutani, Mohammed, Al Qadhi, Hani, Al Raisi, Amani, Al Riyami, Nihal, Al Sabti, Hilal, Al Shaibi, Maha, Al‐abri, Rashid, Al‐mujaini, Abdullah, Al‐rashdi, Aya, Alajmi, Suha, Albadi, Zamzam, Albusaidi, Hanadi, Alhadeethi, Ahmed, Aljabri, Noor, Alkazrooni, Muhannad, Alkharousi, Nadiya, Alkharusi, Al‐salt, Alkiyumi, Khadija, Almaharbi, Noof, Alsaadi, Sabaa, Alsharji, Marwa, Alsharqi, ALi Hamed, Alshehhi, Fatma, Alsulaimani, Thuwaiba, Alward, Mustafa, Alwashahi, Mohammed, Alyafii, Hussain, Alzadjali, Adil, Basi, Tayseer, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Kariyattil, Rajeev, Kenawy, Ahmed Omer, Kochummen, Koshy, Kolethekkat, Arif, Pillai, Mahesh Krishna, Sureshkannan, Ks, Laghari, Farman Ali, Manjunatha, Attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Nair, Asha, Naiya, Hafsa Ismail Ibrahim, Nazar, Zuhail, Pillai, Silja, Rahim, Ferdous, Rahman, Khalid, Sheik, Shahila, Siddiqi, Mohammad Salman, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Khan, Muhammad Ahsan, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Syed, Danish, Rehman, Ishtiaq Ur, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha Yurf, Bangash, Ali Haider, Latif, Sehrish, Naqvi, Wajih, Abdullah, Muhammad Tariq, Abdullah, Saleha, Ahmed, Arooj, Ahsan, Muhammad Fahim Ahsan, Akhtar, Fahad, Ali, Sana, Ansar, Mehwish, Aqib, Muhammad, Arslan, Muhammad, Ashraf, Sumaira, Ayubi, Azaz, Azam, Tayyab, Bhatti, Hamza, Huda, Shahab, Irshad, Abeer, Ishaque, Nazia, Khaliq, Tanwir, Khan, Farheen, Khan, Mumtaz Ahmad Khan, Mahmood, Namrah, Malik, Ali Raza, Malik, Tahir, Malik, Komail, Mehmood, Manzer, Mustafa, Fatima, Noor, Fazal, Nubair, Sarwar, Rashid, Isbah, Saeed, Waqar, Sajid, Hannan, Shah, Sajid, Shami, Ali, Siraj, Minhaj Us Siraj, Tareen, Mariam, Haq, M Burhan Ul, Abbas, Manzar, Zaidi, Syeda Maria Ahmad, Ahmed, Iffat, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhtar, Munazza, Akhund, Ramsha, Manji, Adil Al‐Karim, Arshad, Hajra, Awan, Muhammad Ozair, Aziz, Humaira, Bhutto, Shameen, Aamir, Faiqa Binte, Biyabani, Syed Raziuddin, Chishti, Uzma, Chundrigar, Mohsin, Ghaloo, Shayan Khalid, Haroon, Waqqas, Hashmi, Shiraz, Hassan, Murtuza, Inam, Hina, Kassam, Nausheen, Kazmi, Abbas, Khan, Majid, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Martins, Russell Seth, Mubarik, Areeba, Munir, Muhammad Musaab, Musharraf, Muhammad Bazil, Naz, Falak, Noordin, Shahryar, Pervaiz, Arsalan, Qamar, Javeria Bilal, Rahman, M Fazlur, Rani, Pallavi, Rasheed, Yasir, Sadia, Haleema, Saeed, Marwah, Safri, Mohammad, Salim, Shaharyar, Sattar, Abida K., Shamim, Shahzad, Sherwani, Maryam, Siddiqui, Muhammad Ahsan Iqbal, Sidhwa, Astad, Tariq, Javeria, Tejani, Isbaah, Waqar, Usama, Zahid, Fahad, Jamal, Abid, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Saeed, Summaya, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Arshad, Muhammad, Hussain, Syeda Namayah Fatima, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Nasir, Manal, Sohail, Osama Bin, Mangi, Ali, Markhand, Naveed, Mushtaq, Hassan, Zia, Kashif, Ahmed, Hassaan, Ahmed, Nasir, Qureshi, Talha Ahmed, Shaikh, Shafqat Ali, Anwer, Rabia, Arshad, Owais, Batool, Sehrish, Chatni, Muhammad, Chundrigar, Tariq, Dojki, Samina Saleem, Elahi, Minahil, Farooqui, Bakhtawar, Ghouri, Amna, Hassan, Nabeel, Hussain, Zainab, Hussaini, Null, Iftikhar, Fizza, Iqbal, Faizan, Javed, Anum, Javed, Dania, Kamal, Wajahat, Khan, Shifa, Mughal, Zeeshan Uddin, Murtaza, Ghulam, Nadeem, Areeba, Nasir, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Haroon, Umer Saeed, Saleem, Shah Masabat, Seriwala, Haseeb, Shah, Aaqil, Siddiqui, Safia, Tanveer, Asher Tanweer, Tariq, Nida, Zaman, Junaid, Zamir, Mehroz, Anjum, Muhammad Ayyub, Afzal, Ameer, Ahmed, Ehsan, Ahmed, Jawad, Riaz, Shujat Ahmed, Akbar, Ali, Akbar, Bilal, Ali, Maria, Ali, Imran Ali, Ali, Abrar Ashraf, Ali, Ghazanfar, Altaf, Zahra, Ammar, Ahmed Siddique, Arif, Hafiz Muhammad Arif, Aslam, Imran, Bashir, Muhammad Mustehsan, Farooq, Usman, Farooq, Muhammad, Gondal, Khalid Masood, Iqbal, Muhammad Javed, Iqbal, Zafar, Ismail, Fahad, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Joshi, Prabesh, Khadam, Mamoona, Khan, Romaisa, Khawaja, Muhammad Asadullah, Manzoor, Sobia, Mohsin, Muhammad, Mumtaz, Khizra, Musaab, Muhammad, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Noureen, Sadaf, Rafi, Yaseen, Raza, Ali, Rijal, Sushil, Saleem, Irfan, Shah, Hafiz Syed Zaigham Ali, Sharif, Muhammad, Shaukat, Ayesha, Siddique, Usman, Sikandar, Hafiz Saqib, Sohail, Mohammad, Zahara, Fatima Tu, Usman, Yasmeen, Zaman, Balakh Sher, Zeb, Misbah, Afzal, Muhammad Farooq, Ahmad, Fateen, Ahmed, Waqas, Akram, Shahzad, Alam, Azhar, Ali, Danish, Ali, Ahsan, Alvi, Ammar Tariq, Asif, Suleman Asif, Aslam, Madiha, Daood, Muhammad Daood, Jawad, Muhammad, Kathia, Usama Muhammad, Khalid, Ismaeel, Khan, Anwar, Khurshid, Zain, Noman, Hamza, Raza, Ahsan, Taha, Hassan, Zubair, Muhammad, Maria, Noor Ul Huda, Janjua, DrAtif A, Ahmad, Qamar Ashfaq, Ahmad, Sheraz, Ali, Imran, Amin, Sana, Anjum, Momina, Asjad, Muhammad, Aslam, Aatif, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bakhtiar, Akkasha, Bashir, Alia, Batool, Fizza, Bhatti, Samiullah, Butt, Roshan, Butt, Usman, Changazi, Shabbar Hussain, Cheema, Omer Iqbal, Chishti, Muhammad Haris, Haq, Bushra, Hashmi, Ali, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Iqbal, Javaid, Iqbal, Ayesha, Ishaq, Amna, Javed, Sundas, Javed, Hina, Javed, Aymen, Kashif, Muhammad, Khalid, Muhammad Saud, Khan, Wasim Hayat, Khan, Rohma, Khan, Fatima, Latif, Usman, Mahmood, Arif, Majeed, Faizan, Malik, Kiren, Masood, Rumaisa, Munawwar, Fasiha, Mushtaq, Asma, Nabi, Muhammad Shoaib, Nasir, Ahmad, Naureen, Shazia, Noreen, Zahida, Qadir, Muhammad Ghulam Qadir, Raana, Gul e Raana, Rashid, Madeeha, Rehman, Abdul, Riaz, Sidra, Saboor, Arfa, Sadiq, Muhammad Hamza, Saeed, Komal, Saleem, Humaira, Sarfraz, Kiran, Shafiq, Zahid, Shafqat, Aymen, Shaukat, Hassan, Sher, Fateh, Sohail, Rubina, Suhail, Amina, Muhammad, Bilal Syed, Umair, Usama, Umar, Muhammad, Usama, Muhammad, Usman, Natasha, Waheed, Kalsoom, Farooka, Muhammad Waris, Wasim, Shafqat, Wasim, Tayyiba, Yasin, Fahad, Zafar, Zain, Zaka, Sabahat, Zaman, Salma Zaman, Azad, Junaid, Fatima, Zareen, Anwar, Muhammad Imran, Naseer, Muhammad Ahmed, Shah, Muhammad Taimoor, Ali, Ammar, Aslam, Muhammad, Aziz, Muhammad Usama, Gohar, Farhan, Humayoun, Waseem, Khan, Hassan, Naeem, Shiza, Tahir, Warda, Alvi, Kashif, Mehmood, Maria, Ali, Muhammad, Shahzad, Aniqa, Sher, Muhammad, Murtaza, Null, Siddique, Hijab, Anjum, Waleed, Ahmad, Manzoor, Alam, Muhammad, Faizi, Fouzia, Faridoon, Shehla, Hussain, Musarrat, Iftikhar, Muhammad, Jan, Yousaf, Kalim, Muhammad, Raza, Tilal Ahmed, Shah, Farrukh Ozair, Shah, Muhammad, Tahir, Imran, Khan, Hamza, Naeem, Muhammad, Ahmad, Shabir, Ahmed, Haseeb, Akbar, Hazrat Akbar, Akhtar, Muhammad Shaheer, Ali, Noman, Ali, Mehboob, Ali, Sadaf, Ali, Irfan, Amin, Hasbi Allah, Amin, Shehzadi, Ayub, Bakhtawar, Basir, Muhammad, Faraz, Ahmad, Farsi, Muhammad Salman, Gul, Ambrin, Gul, Hina, Gul, Ayaz, Gul, Sana, Haider, Sajjad L, Ikramullah, Syed Ikramullah, Jan, Kashif, Khalid, Muhammad, Khan, Salman, Khan, Muhammad Faisal, Khan, Faraz Ahmad, Mian, Iftikhar, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Raziq, Naila, Rehman, Riaz, Salim, Azra, Shafqat, Tanveer, Shah, Faaiz Ali, Shah, Suliman, Shakeel, Muhammad, Ullah, Tahsin, Rehman, Shams Ur, Wali, Sabaeena, Zahoor, Farnaz, Zeb, Gulmeena, Zeb, Laila, Haseeb, Null, Raza, Waqas, Amir, Zein, Arshad, Daneyal, Daud, Mashal, Chughtai, Umer Javed, Rauf, Mirza Hammad, Sajid, Zaina, Abid, Rubaba, Azam, Ayesha, Farkhanda, Tallat, Firdos, Kanwal, Khalid, Tabinda, Malik, Sobia, Mashal, Javeria, Salim, Ruqyyah, Saqib, Madiha, Shaheen, Aneela, Shahid, Madiha, Yasmeen, Irfana, Ahmed, Faryal, Ali, Aneeqa, Amjid, Zarafshan, Anwar, Muhammad Idrees, Arif, Iqtaza, Ashraf, Anam, Butt, Adam Umair Ashraf, Azhar, Faryal, Daniyal, Muhammad Daniyal, Ghazanfor, Ramlah Ghazanfor, Ishtiaq, Daniyal, Jamil, Manahil, Khalid, Ziaullah, Khan, Jahangir Sarwar Khan, Khan, Muhammad Sarfraz, Mahmood, Usama, Mahmood, Ashraf, Malik, Abdur Rehman, Nagra, Ramisha Naseer, Niazi, Fuad Ahmad Khan, Saleem, Maleeha, Saleem, Bushra, Saleem, Tayyaba, Shabbir, Raja Khalid, Shakir, Imtiaz Ahmed, Ahmad, Ashfaq, Awan, Surgeon Hafiz Riaz Hussain, Bhatti, Waqar, Shaheen, Azka, Awad, Hadeel, Mohamad, Balqees, Wafi, Dalia, Jayyab, Mustafa Abu, Toman, Hitham, Abu‐arish, Hamdoon, Al‐slaibi, Ibrahim, Alzeerelhouseini, Hussam I. A., Jobran, Fahmi, Lahlooh, Raghad, Aburayyan, Fatima, Abuzaina, Khalil, Aljuba, Ayat A., Aljunaidi, Roaa, Alzughayyar, Tareq, Amro, Adham, Amro, Sarah, Dweik, Mays, Halman, Safa, Qafisha, Qutaiba, Shaheen, Farah, Shawer, Balqis, Shehadeh, Daleen, Zalloum, Jihad, Demyati, Khaled, Hajhamad, Mohammed, Saqfalhait, Zain, Del Cid, Emmy Arrue, Rodriguez‐zentner, Homero, Abed, Francisco, Garayo, Rafael Osmar Adorno, Aguilar, Ruben, Aguilar, Ana, Maidana, Domingo Javier Aguilera, Casañas, Diego José Almada, Almiron, Teresa, Arrua, Analia, Avila, Pedro, Balmaceda, Brenda, Barreto, Alexandra, Galeano, Analy Barreto, Nuñez, Belinda Barrientos, Benegas, Magdalena, Berden, Martin, Bogarin, Amalia, Bonnin, Jorge, Barrios, Edulfo Britez, Burgos, Julio, Melgarejo, Carlos Fabián Cárdenas, Samudio, José De Jesus Casco, Cataldi, Sandra, Centurion, Jorge Augusto, Ramirex, Luz Maria Cespedes, Colina, Katerine, Almando, Gabriel Augusto Cuevas, De Bleecker, Karina, Dragotto, Antonella, Eiwa, Eiji, Enciso, Juan Carlos, Espinola, Carla, Estigarribia, Lujan, Fernandez, Celso Ariel, Ferreira, Rocio, Figueredo, Blas, Fleitas, Daniel, Fretes, Claudia, Fretes, Martin, Gonzalez, Walter Rene Fretes, Ruiz, Humberto Nicolas Galleano, Gauto, Julio, Gauto, Claudia, Gomez, Viviana, Gómez, Nadia, Insfran, Osvaldo, Karina, Liz, Legal, Christian, Llanes, Oscar, Martínez, Walter, Torres, Walter Rodrigo Martínez, Matsumura, Kiichiro, Galván, Esteban Daniel Mendoza, Noguera, Leila Mereles, Mora, Sergio, Navarro, Daniel, Roman, Lidia Noguera, Núñez, Analia, Ocampos, Lorena, Rojas, Alma Maria Ojeda, Villasboa, Derlis Joel Ojeda, Palacios, Juan, Sosa, Jessica Pamela Portillo, Ramírez, Rossana, Ramos, German, Samudio, Diego, Acosta, Jorge Eduardo Sisa, Tellez, Rodney, Urquhart, Porfiria, Vera, Beatriz, Florentin, Jorge David Vera, Vidallet, Daniel, Villalba, Gilce Teresita, Vömel, Jacob, Aquino, Laura, Martinez, Marisa Natalia, Patiño, Cesareo Saldivar, Aguayo, Omar, Aguilera, Maria Esther Ferreira, García, Federico, Giangreco, Maria, Osorio, Derlis, Sosa, Cynthia Marlene Rodríguez, Villanueva, Paulo, Rolon, Sandra Elizabeth Centurion, Ohara, Rozana, Portillo, Juan Marcelo, Cano, Ruben Milciades Varela, Melgarejo, Juan Manuel Baez, Candia, Francisco Vidal, Chirico, Carlos, Pineda, Sofia Belen Diaz, Vera, Diego Alfonso Paiva, Valdovinos, Ayrton Facundo, Velazquez, Dahiana Fatima, Arriola, Diego Raul Abente, Britos, Analia, Cantero, Daniel, Centurión, Jessica, Bareiro, Ricardo Ignacio Olmedo, Duarte, Dayhana, Paredes, Susana, Rojas, Carlos Pfingst, Delgado, Angel Luis Agüero, Godoy, Juan Marcelo Delgado, Lohse, Helmut Alfredo Segovia, Benitez, Oscar, Luraschi, Victor, Molinas, Joel, Añasco, Dulce, Barreto, Alejandro Arévalo, Rivaldi, Cristhian Chavez, Chenu, Martin, Garcia, Luz, Godoy, Rosana, Gustavo Miguel Machain, V, Velázquez, Maria Jose Martinez, Alvarenga, Brayan David Pedroso, Gonzalez, Agustin Rodriguez, Sánchez, Rosa, Sánchez, María Liz, Lohse, Herald Rene Segovia, Segovia, Cesar Giuliano Sisa, Cuenca, Osmar, Melgarejo, Sara, Ferreira, Ever David Sosa, Anaya, Estefany Angela Flores, Huallanca, Evy Yamil Huaman, Palma, Karla Melissa Marchan, Palomino, Liliam, Ordemar, Jorge, Quiroz, Manuel, Sarabia, Victor Diego Caballero, Lozano, Christian, Torres, David, Castro, Henry Rafael Acosta, Bayona‐alvarado, Gabriel, Cruz, Joao, Lizzetti, Grecia, Morales, Victor Vasquez, Ormeño, Martin, Ortiz, Liz, Roca, Kewin Quispe, Quispe‐cruz, Darwin Artidoro, Sanz, Edgar, Poma, Katherine Tataje, Seto, Gaby Susana Yamamoto, Palacios, Carlos, Mejia, Juan Francisco Pintado, Barandiaran, Jose Maria Silva, Huaman, Eduardo, Gamonal, Guillermo Enrique Reyes, Carmelo, Claudia Suazo, Condori, Diana Lizet Cruz, Valverde, Jose Vasquez, Cabrera, Cesar Alberto Vergel, Diaz, Consuelo, Caturiny, Angie Paredes, Salazar, Adolfo, Estupiñan, Joel Jesús Sánchez, Vaez, Marco Sandoval, Arangoytia, Roy, Berrospi, Francisco, Polo, Jorge Luis Bustamante, Coaquira, Jimmy Cárdenas, Escalante, Fernando Cárdenas, Armestar, Darwin Oliver Desposorio, Mora, Sheyla Katherine Diaz, Laura, Jheff, Blanco, Aldo Lopez, Garcia, Karoll Tatiana Meza, Moreno, Jaime, Payet, Eduardo, Villena, Joan Perez, Cardenas, Daniel, Barrionuevo, Luis Alcides García, Valencia, Miguel Roberto Li, Doria, Percy Mansilla, Escalante, Fiorella Palomino, Coronado, Mónica Falcón, Rocha, Pamela Valderrama, Edinson, Ulbar, Huarcaya, Vladimir Laureano Velasquez, Abella, Andrei Cesar, Andal, Carmela, Anoso, Willmar, Bejasa, Monica Maria, Cuasay, Aldrin, Fernandez, Jesus, Mercado, Eunice, Moreno, Amabelle, Palines, Alejandro, Regalado, Trina, Unira, Cristeta, Yacapin, Clarence Pio Rey, Cajucom, Carlo Angelo, Cueto, Mary Anne Carol, Ramos, Charmagne Loren, David, Avril, Merin, John Isaac, Roxas, Alberto, Candelario, Nipseey Pauloe, Lopez, Marc Paul, Ramos, Ramon Alberto, Violago, Khrissa Lea Elisa, Benosa, Yvann Kenneth, De Leon, Louie Czelline, Esguerra, Marlow, Filarca, Rene Luis, Gaddi, Corina, Gagno, Patrick Jovan, Guerra, Jeffy, Morla, Angelica Aubrey, Opano, Rivero, Penserga, Edgardo, Tesil, Mark Jheric, Turingan, Hazel, Aldana, Joel, Almelor, Alyssa Carmina, Almora, Jaime JR, Ang, Angeli Anne, Arada, Maria Angelica, Arbizo, Jeric, Barretto, Diana, Baticulon, Ronnie, Chan, Kevin Ivan P., Cruz, Elmer Jason, Grano, Pauleen, De Leon, Juan Gabriel, De Pano, Jojiemar, Dealino, Maria Angela, Mundo, Daryl Anne, Del Mundo, Hans Jesper, Dela Victoria, Czarlo, Delgado, Juan Miguel Roberto, Detran, Jan Erik, Diaz, Robert Zaid, Dinoy, Edward Arlu, Domingo, Efren, Dulnuan, Heather Grace, Patricio, Dumlao, Elises, Carlo, Estrella, Emmanuel, Flor, Joan Marie, Gana, Grace, Bynlee Stuart, Go, Hilvano‐cabungcal, Ana Melissa, Cesar, Jacinto, Lacuata, Jan Alexeis, Lapitan, Marie Carmela, Laudato, Renee Leen, Legaspi, Gerardo, Ryle, Li, Lobo, Liana Mae, Lukban, Claudine, Macapugay, Christopher John, Magsanoc, Nikko, Manalang, Enrique, Montemayor, Jon‐alexis, Notario, Jaysonnel, Santos, Jan Armelynn, Sarmiento, Abigail, Serrano, Dennis, Siahetiong, Samantha, Solis, Krisniel Florence, Sotalbo, Denorson, Tongol, Erik, Ursabia, Germaine, Patricia Ann, Uy, Valeros, Charmaine Grace, Velasco, Karen Joyce, Venida, Vincent, Yap, Hans Edison, Zamora, Mario Angelo, Agoncillo, Anika Johanna, Antonio, David Vincent, Bangayan, Nicole Robyn, Castro, Marinelle, Estanislao, Grace Lynn, Ganal‐antonio, Anne Kathleen, Ibrahim, Faiyazudin Amado, Jarin, Peter, Ching, Laine Valerie Kongsun, Lim, Josephine Alexandra, Nazal, Mariles, Vaño, Amanda May Ong, Racelis, Louie, Ramos, Kirsten, Reyes, Jeryl Anne Silvia, Rivera, Ron Daniel, Salud, Jose Antonio, Sarte, Elva Marita, Dale Kingsley, Sy, Tancinco, Eileen Grace, Torio, Anna Mariel, Avegail Niña, Uy, Abary, Ryan Rainiel, Jesus, Dabalos, Siquian, Vincent, Yabut, Kenneth, Barcelon, Jose Carlos, Carballo, Inez, Chiu, Jo Ann, Nacion, Aeris Jane D., Pędziwiatr, Michał, Rymarowicz, Justyna, Bobiński, Marcin, Kotarski, Jan, Rasoul‐pelińska, Karolina, Futyma, Konrad, Miotla, Pawel, Rechberger, Ewa, Koczy, Bogdan, Szyluk, Karol, Botelho, Pedro, Lopes, Mariana Branco, Cismasiu, Brigitta, Costa, Paulo Matos, Fallah, Jean‐michel, Freitas, Gonçalo Teodoro Fernandes, Ferreira, Filipa, Nobre, José Guilherme Gonçalves, Henriques, Susana, Lino, Rui, Macedo, Alexandre, Mendes, Cláudia, Barreira, Ana Lúcia Preto, Ramos, Nuno, Rodrigues, Susana Candeias, Santos, Catarina Rolo, Pedro, Ricardo São, Silva, Melissa, Sousa, Carla, Ribeiro, Rui, Santos, José, Alves, Ricardo, Teles, Tobias, Sousa, Liliana B., Carvalho Carvalho, Dulce Helena Ferreira, Soares, Rui Costa, Costeira, Cristina, Graveto, João, Jordão, Daniel Martins, Paiva‐santos, Filipe, Parreira, Pedro, Sousa Salgueiro Oliveira, Anabela, Azevedo, Constança, Machado, Daniela, Semião, Miguel, Bolota, Joana, Cinza, Ana Margarida, Cotovio, Manuel Damasio, Leandro, Sofia, Oliveira, Joana, Lima, Rita Pedroso, Pereira, Mário, Velez, Cristina, Cardoso, Nicole, Domingues, Joana Cristina, Henriques, Pedro, Manso, Maria Isabel, Martins, Ruben, Santos, Gildasio Martins, Morais, Henrique, Pereira, Rute, Revez, Tatiana, Ribeiro, Vera Inês, Ribeiro, Ricardo, Sousa, Sandra, Teixeira, João, Cabral, Ana, Rodrigues, Catarina S., Alves, Paulo, Ferreira, Gonçalo, Neves, Miguel, Rama, Nuno, Sousa, Inês, Almeida, Mafalda, Morais, Ricardo Bettencourt, Campos, Ana, Caroça, Cristina, Bártolo, Mariana Couto, Galindo, Luis, Girao, Ricardo, Pais, José, Vaz, Carlos, Messias, Jose Henrique Albuquerque, Silva, Francisca Brito, Fonseca, Filipa, Maurício, Sandra, Peyroteo, Inês, Ramos, Rodrigo, Salgado, Inês, Santos, Patrícia, Forte, Joana Patena, Santos, Ema, Costeira, Beatriz, Neves, Filipe, Ourô, Susana, Ferreira, Marisa Peralta, Fernandes, Mafalda Sousa, Almeida, Joana Isabel, Almeida Pinto, João, Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), GlobalSurg Collaborative, Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Graduate School, AGEM - Endocrinology, metabolism and nutrition, ARD - Amsterdam Reproduction and Development, Paediatrics, Tytgat Institute for Liver and Intestinal Research, Nepogodiev, D., Simoes, J. 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Y., Ghozy, S., Sallam, A., Shehta, A., Abdelkhalek, M., Samaka, R., Morsy, A., Sherif, A. E., Negussie, A., Fisseha, T., Shumbash, K., Abebe, M., Yasin, S. M., Akililu, Y. B., Megersa, A., Tefera, T., Assefa, M., Atnafu, B., Tsegaye, B., Bezabih, Y. S., Sisay, S., Bekele, K., Jira, M., Derilo, H., Degefa, E., Tadesse, A., Nidaw, M., Sarjanoja, E., Testelin, S., Boucher, S., Jouffret, L., Lakkis, Z., Le Bian, A. Z., Harper, L., des Deserts, M. D., Andre, B., Slim, K., Verhaeghe, R., Police, A., Girard, E., Chebaro, A., Nkembi, A. S., Arnalsteen, L., Ballouhey, Q., Mege, D., Jeandel, C., Duchalais, E., Bouche, P. -A., Manceau, G., Cretolle, C., Hervieux, E., Girard, N., Seguin-Givelet, A., Gaujoux, S., De Simone, B., Boisson, M., Bergeat, D., Fredon, F., Nappi, F., Kassir, R., Scalabre, A., Migliorelli, F., Ezanno, A. -C., Seeliger, B., Vaysse, C., Charbonneau, H., Misrai, V., Abbo, O., Angeles, M. A., Brunaud, L., Modabber, A., Wolf, S., Kamphues, C., Hohn, P., Glowka, T. 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M., Donlon, N., Cullinane, C., Creavin, B., Muheilan, M., Earley, H., Kabir, S. M. U., Fahadullah, M., Ryan, E., Connelly, T., Hashimoto, D., Alqudah, M. A., Alajalen, A., Omari, R. Y., Qasem, A., Alawneh, Y., Ahmad, A., Aladawi, O., Alrayes, B., Haidar, H., Husain, S., Qassem, F., Sumadi, A., Salhiyeh, A. A., Al-Manaseer, B. M., Alsunna, Z., Ra'Ed, H., Hamad, F. R. B., Abuleil, A., Jimaale, E. A. M., Abu-Mehsen, M., Olaywah, N., Wafi, O., Ababneh, H., Abu-Ismail, L., Khamees, A., Alkhatib, A., Bolatbekova, R., Kulimbet, M., Nurgozhin, T., Saliev, T., Zhussupov, B., Almabayev, Y., Kaidarova, D., Tamoos, K., Aqeelah, A., Mohammed, A. A. K., Al Maadany, F., Alkadeeki, G., Gahwagi, M., Aldressi, W., Amnaina, M., Alansari, A. H. A., Alkaseek, A., Yagoub, G., Amer, A. B., Salem, M., Almugaddami, A., Burgan, D., Abdelkabir, M., Alshareef, K., al Islam Ben Jouira, R., Meelad, A., Bouhuwaish, A., Dwaga, S. 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M., Recabal, P., Sandoval, C., Fonseca, B. C., Contador, M., Hodali, A., Pincheira, C., Mantilla, A. R., Garrido, C. S., Torres, J., Valenzuela, M., Chen, Z., Hu, J., Tao, J., Yang, K., Zhang, Y., Chen, Y., Cunchuan, W., Yang, W., Bai, X., Liang, T., Ma, T., Pu, N., Yin, H., Caicedo, C., Beltran, D. F. T., Escobar, A., Granados, C. P., Pinzon, L. A. U., Bonilla, C., Santana, D., Serrano, O., Garcia, A., Luque, F. G., Patino-Jaramillo, N. G., Baquero, L. G. C., Botero, N. A. M., Castellanos, J. A. M., Calvera, A. J. V., Acosta Buitrago, L. M., Bohorquez-Tarazona, M. P., Rivera, P. A. C., Felipe Casas, J., Alfaro, V. C., Corso, J., Guerra, B., Guerrero-Becerra, A. F., Abiyomaa, A. K., Montes, F. R., Paz, M. S. M., Sandoval, C. A. P., Quintana, N., Ortega, C. F. R., Santacruz, C., Tellez, M., Sanchez, C. A. V., Arias-Amezquita, F., Vargas, L. F. C., Murgueitio, N. C., Escorcia, E., Ghotme, K. A. G., Gomez-Mayorga, J. L., Vergel, A. F. 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K., Darwesh, A., El Fiky, L., Elgarhy, I., Nassef, M. A., Shaban, M., Shalaby, M. M. M., Wahba, A., Fouad, O. Y. O., Elsadek, M., Gad, D., Abdelsamed, A., Bayomy, A., Elsalhy, M., Fahim, A., Seleim, A., Afifi, E., Gamal, F. A., Gamal, M., Eldesouky, O., Eldwini, M. H. E. E., Fahmy, M. M. F., Hussein, A., Ouf, A., Sami, O., Shaat, S., Bahi, A. W. M. K., Atea, A., Gamal, I., El Kassas, M., Omar, W., Tawheed, A., Al-oribi, S., Aly, N. K., Elfiky, M., Elmaghraby, A. E., Elrahmany, A., Elsherbeeny, M., Helmy, Y., Nabil, A., Farahat, A. S., Soliman, M., Wassef, A., Abdelrahman, A., Elsaban, S., Ghaly, G., Hamdy, R., Mondy, H., Abdallah, L., Darwish, A. K. Z., Rabea, M., Azab, M. A., Abbas, A. S., El-Deeb, M., Fawzy, M., Ibraheem, M., Bakry, A., Elnems, S., Elsheikh, R., Gbreel, M. I., Hafez, M., Jammal, M., Hamam, K. M., Makram, A. M., Makram, O. M., Rabie, S., Askalany, S. Y., Abushanab, M. M. I., Eid, A., El Ghalid, M. R. I. A., Abdelaty, A. A., Fayad, E. A., Radwan, A., Shokry, A., Farouk, A. M., Elfallal, A., Elfeki, H., Elsaeed, M., Elsaid, M., Makroum, A., Elsaid, D. M., Mostafa, M., Omar, M. W., Rezk, M., Sakr, A., Sanad, A., Shalaby, M., Shawqy, M., Shetiwy, M., Shoma, A., Tawakl, N., Yunes, A., Abouzid, A., Atallah, K., Elmorsi, R., Elsherbini, A., Gaballa, K., Hamdy, O., Metwally, I. H., Refky, B., Zuhdy, M., Zahran, M. A., Abdellah, F., Abdelmawla, A., Abdrabou, A., Abubakr, A., Al Gohary, R., Al-Shazly, M. H., Allam, A. R., Aposaeeda, A., Asfour, M., Ayman, A., Omran, A. A., Daghash, I. T., Ebada, M. A., Eid, T., El Kelany, A., El Shemy, E., El-Hag-Aly, M., Elgamal, O., Elghoury, M., Elkased, A. F., Ellakwa, T. H., Ellakwa, H., Elmeanawy, A., Elnoamany, S., Elsabagh, A., Elsawey, A., Elshabrawy, E., Elshakhs, S., Elsoudy, N., Ezzat, E., Fawzy, A., Gamal, A., Gameel, A., Gharbia, K., Ghonaim, M., Ghonaim, A., Hafez, A., Ismail, Z., Khaled, M., Meselhy, M., Mikhail, P., Mougahed, M., Mustafa, A., Nada, A., Omran, J., Ebiad, M. S., Saleh, I., Salem, N., Salem, O., Selim, S., Shalaby, G., Sherif, H., Soltan, H., Wahbah, M., Abdelbary, E. Z., Zayan, A. H., Afify, A., Hadiya, H. A., Elshref, M. J., Ahmed, M. M., Nasser, N., Abdeldayem, H., Salama, I. A., Ammar, K., Ayoub, I., Badawy, M. T., Balabel, M., Fayed, Y., Gad, E. H., Gomaha, M., Hammad, E., Hegazy, O., Hegazy, E., Ibrahim, T., Kallaf, M., Macshut, M., Magdy, A., Oteem, A., Samaan, S., Sharshar, M., Shoreem, H., Soliman, E., Soliman, H. E., Yassein, T., Zakaria, H., Eldaly, A., Mashaly, S., Abd-Elsalam, S., Abdel-Elsalam, W., Shaalah, A. A., Elbahnasawy, M., Elhalaby, I., Hamada, M., Soliman, S. H., Hawila, A., Morsy, M. S., Naieem, M., Nasreddin, M., Salman, S., Sarsik, S., Shabana, A., Tolba, E., Zagho, M., Kams, L., Ratsep, T., Riips, K., Abdurehman, O., Admasu, A., Berhea, A., Eado, Y., Hailu, N., Kidane, M., Mohammed, A., Mohammed, K., Tibelt, A., Woldemariam, M. A., Yonael, L., Alemu, M., Aklilu, A. T., Asele, F., Assefa, S., Azmach, D., Bekele, P., Mamo, M., Maru, N., Mekuria, H., Menkir, A., Mikru, F., Siraw, E., Suga, H., Sumoro, N., Teka, A., Thomas, E., Woldemariam, D., Wubishet, E., Abebe, E., Abebe, K., Asfaw, F., Bergene, E., Eshete, M., Gebrehiwot, F. G., Gedefaw, Y., Mengesha, M. W., Mengiste, N., Menjeta, A., Muleta, M. B., Sefera, S., Tedla, Y., Teklu, D., Teshome, H., Tirfe, L., Tsegabrhan, S., Tsehaye, M., Worku, B., Molla, M., Supha, M., Taye, T., Abebe, N., Alemu, B., Chanie, A., Degefu, H., Desalegn, D., Gebre, H., Hussen, H., Kassa, D., Laeke, T., Mammo, T. N., Negash, S., Sahlu, A., Tiruneh, A. G., Wolde, A., Woldeselassie, H. G., Ahmed, M. Y., Zewdneh, B., Fentaw, J., Salia, S., Tabore, K., Gurara, A., Abreha, T., Abrha, T., Beyene, G., Weldu, M. A., Abdissa, D., Tesfaw, M., Wolle, M., Asmamaw, D., Assefa, B. Z., Bedane, D., Bekele, E., Getie, A., Melkamu, S., Mengesha, W., Shumye, G., Tagele, G., Tesfa, A. A., Workneh, W., Genetu, S., Mebratu, E., Chanyalew, L., Deresse, T., Girma, A., Seid, M., Shimelash, D., Shitaw, A., Ayalew, T., Diress, T., Kassahun, B., Kassaye, B., Mulugeta, E., Tesfaw, G., Yimenu, B., Benecha, S., Aman, M., Mekete, A., Tesemma, A., Mohammed, A. A., Abdullahi, Y. Y., Adem, E., Ahmedin, M., Assefa, Y., Ayde, F., Berhe, A., Gebremeskel, Z., Siyoum, E. G., Teresa, S., Wude, Z., Yemer, F., Yohannes, D., Zeleke, E., Zerihun, G., Degefe, D. W., Derilo, H. T., Eliyas, N., Bayissa, F., Deressa, Y., Gemechu, L., Gurmu, T., Kasaye, A., Melese, L., Muleta, L., Mulugeta, G., Taye, S., Teshome, A., Tesso, B., Gebrekirstos, G., Haile, M., Kassa, H., Saddik, M., Mengist, A., Heikkinen, J., Helminen, O., Huhta, H., Kotkavaara, T., Mosorin, M. -A., Pitkanen, J., Qian, C., Sinikumpu, J., Sova, H., Tastula, M., Virta, V. P., Bettoni, J., Dakpe, S., Devauchelle, B., Lavagen, N., Bastard, F., Bin, K., Breheret, R., Fouquet, O., Gueutier, A., Henric, N., Kahn, A., Kun-Darbois, J. -D., Moukoko, D., Pineau, A., Podevin, G., Schmitt, F., Alshawared, F., Beyrne, C. D., Lugans, L., Marie-Macron, L., Doussot, A., Ahmed, O., Alnajjar, L., Mis, T. C., Fliss, S., Giocanti-Auregan, A., Gregory, T., Guiraudet, P., Le Fouler, A., Martinod, E., Onorati, I., Peretti, M., Quilichini, J., Radu, D., Tresallet, T., Andro, C., Maffert, A., Chapman, T., Halden, M., Fayon, J., Mattevi, C., Marion, H., Bendjemar, L., Lionel, C., Mikhael, E., Macias, R. M., Villefranque, V., Volpin, E., Trilling, B., Boleslawski, E., Constance, H. -L., Drubay, V., El Amrani, M., Eveno, C., Lecolle, K., Martin, L., Noiret, B., Piessen, G., Truant, S., Zerbib, P., Aubry, E., Denimal, F., Lamblin, A., Barrat, B., Caire, F., Christou, N., Fourcade, L., Laloze, J., Bouv-Hez, M. M., Salle, H., Taibi, A., Tricard, J., Usseglio, J., Chopinet, S., Gregoire, E., Delpont, M., Blanchard, C., Crenn, V., de Vergie, S., Denis, W., Fragnaud, H., Regenet, N., Rigaud, J., Varenne, Y., Anract, P., Barat, M., Biau, D., Dautry, R., Dohan, A., Idier, L., Lang, E., Thouny, C., Tzedakis, S., Audenet, F., Cazelles, A., Chamouni, A., Karoui, M., Mejean, A., Clermidi, P., Langlais, T., Leonelli, L., Maisonneuve, E., Nicolas, B., Perrot, O., Prost, D., Thomin, A., Thouement, T., Athiel, Y., Berry, R., Boddaert, G., Bonnet, S., Cathala, N., Conso, C., Denet, C., Laforest, A., Levy-Zauberman, Y., Macek, P., Mombet, A., Ollat, D., Scamporlino, A., Zadegan, F., Amine, C. A., Baratte, B., Chartier-Kastler, E., Chereau, N., Colas, P. -A., Duquesne, I., Genser, L., Petit, G. G., Goumard, C., Hasani, A., Lim, C., Martellotto, S., Melot, C., Menegaux, F., Pinar, U., Pocard, M., Roupret, M., Scatton, O., Seisen, T., Severine, N., Turco, C., Chouillard, E., Beganton, P., Frasca, D., Kerforne, T., Corbiere, L., Gasmi, A., Ghemame, M., Guerin, S., Khene, Z. -E., Livin, M., Mahmoud, F., Maillot, B., Merdrignac, A., Mouriaux, F., Robin, F., Sulpice, L., Vazeux, C., Bertheuil, N., Bonneau, S., Cazemajou, C. T., Cousin, I., Defert, C., Fustec, E., Juricic, M., Lavoue, V., Mevel, G., Timoh, K. N., Renault, A., Violas, P., Schwarz, L., Tuech, J. J., Morichau-Beauchant, T., Sauvat, F., Haddad, E., Vermersch, S., Patrizi, A., Roux, A., Aime, A., Malgras, B., Cherkaoui, Z., D'Urso, A., Felli, E., Gonzalez, C. A., Ignat, M., Mutter, D., Pessaux, P., Vix, M., Gornes, H., Vergriete, K., Berthoumieu, P., Genre, L., Le Gall, H., Pierre, T., Chalhoub, M., Del, M., Martinez, A., Fuchs-Buder, T., Vancon, A., Faya, C. A., Asaph, E., Baruwa, E., Hofman, G., Machemedze, S., Idiata, M. M., Muhemi, R., Ndizeye, O., Nkunzimana, E., O'Connor, J., O'Connor, Z., Tchoba, S., Boumas, N., Devidze, G., Pisarevi, G., Baumgarten, S., Grusser, L., Holzle, F., Kowark, P., Kowark, A., Rossaint, R., Schafer, B., Wallqvist, J., Winnand, P., Ziemann, S., Anthuber, M., Broecheler, T., Edlinger, F., Gosslau, Y., Hyhlik-Duerr, A., Maksymiw, F., Shiban, E., Sommer, F., Sommer, B., Zerwes, S., Beyer, K., Lauscher, J. C., Lee, L. D., Loch, F. N., Schineis, C., Aghalarov, I., Belyaev, O., Braumann, C., Enste, A., Fahlbusch, T., Herzog, T., Horn, J., Jedanowski, J., Knipschild, J., Luu, A. M., Mohan, P. V., Siemen, L., Slobodkin, I., Strotmann, J. J., Uhl, W., Wolf, K., Coburn, M., Egger, E., Eichhorn, K., Enderes, J., Far, F., Franzen, A., Guresir, E., Hadjiathanasiou, A., Kalff, J. C., Kohistani, Z., Manekeller, S., Mustea, A., Probst, C., Randau, T., Recker, F., Schuss, P., Strassberger-Nerschbach, N., Strieth, S., Treede, H., van Beekum, C. J., Vatter, H., Velten, M., Vilz, T. O., Wirtz, D., Wittmann, M., Behr, M., Bulian, D. R., Marche, B., Moczko, T., Otchwemah, R., Schulz, S. -A., Thomaidis, P., Bruns, C., Cursiefen, C., Domrose, C., Fuchs, H., Heindl, L. M., Mallmann, M. R., Mallmann, C., Ratiu, D. A., Canzler, U., Distler, M., Korn, S., Meisel, C., Meusel, M., Petzold, A., Praetorius, C., von Renesse, J., Weitz, J., Wimberger, P., Alkhanji, N., Fung, S., Jaber, K., Knoefel, W. T., Vay, C., Clonda, O., Cottin, T., Juodiene, E., Juodis, D., Petrovic, B., Solodarenko, O., Binder, J., Grutzmann, R., Hackner, D., Junker, S., Arsalan, M., Banek, S., Chun, F., Faqar-Uz-Zaman, S. F., Keese, D., Kluth, L., Rolle, U., Van Linden, A., Walther, T., Bayer, J., Beck, J., Fung, C., Kraus, L. M., Leiber, C., Neidert, N., Sandkamp, R., Schnell, O., Schulte, A., Strahle, J., Jarmusch, S., Novotny, H. F. G., Becker, J., Fulghum, C., Gonschor, B., Herbolzheimer, M., Nicolaiciuc, S., Trulson, A., Vogelsang, H., Zimmermann, B., Akbari, A. A., Boening, A., Edinger, F., Hecker, M., Knitschke, M., Koch, C., Reichert, M., Schmidt, G., Schneck, E., Uhl, E., Nobrega, S. F., Kauffmann, P., Miller, C., Nemeth, M., Sievers, D., Kisser, U., Kleeff, J., Klose, J., Lorenz, K., Papendick, N., Plontke, S., Seiwerth, I., Steer, S., Thomssen, C., Ukkat, J., Dumpies, C. W., Gessner, M., Hanke, J., Klauke, F., Leuschner, S., Mendel, T., Muller, K., Schmidt, B., Schreiter, V., Stosberg, P., Vinz, F., Herbig, B., Sander, J., Schulte, T. M., Betz, C. S., Bewarder, J., Bier, J., Bottcher, A., Burg, S., Busch, C. -J., Bussmann, L., Gosau, M., Heuer, A., Izbicki, J., Klatte, T. O., Konig, D., Kopke, L. -G., Moeckelmann, N., Praetorius, M., Priemel, M., Stadlhofer, R., Stangenberg, M., Uzunoglu, F. G., Wittig, L., Zech, H., Zeller, N., Roux, F., Spaeth, T., Fricker, R., Muller, T., Schroder, L., Alasmari, M., Boeker, C., Hakami, I. A., Mall, J. W., Kyritsis, I., Graeb, C., Huber-Strossner, K., Branzan, D., Doss, M., Gockel, I., Jodicke, C., Osterhoff, G., Pempe, C., Sucher, R., Adler, T., Kelly, K., Merkle, J., Siebert, J., Hirche, C., Kneser, U., Tapking, C., Agrawal, R., Qureischie, H., Croner, R., Koslowski, L., Krause, H., Meyer, F., Turial, S., Al-Nawas, B., Battista, M. J., Goedeke, J., Hasenburg, A., Heider, J., Mueller, L. K., Zeller, S., Jentschura, S. L. P., Kowalewski, K. -F., Kriegmair, M., Mannle, D., Reissfelder, C., Rotter, N., Scherl, C., Seyfried, S., Kirschniak, A., Rolinger, J., Wilhelm, P., Bader, F. G., Ottl, S., Behr, A. V., Diamantis, A., Fichter, A., Grill, F., Heck, M., Jira, D., Kallmayer, M., Koll, F., Luhne, S., Meyer, B., Patachia, R., Pergolini, I., Safi, S., Schaffer, C., Schirren, M., Wegmann, H., Wirth, M., Zhu, Z., Aghamaliyev, U., Almaghrabi, M., Bocker, W., Bruder, J., Frank, K., Herterich, V., Huber, V., Ilmer, M., Kammerlander, C., Neuerburg, C., von Ehrlich-Treuenstatt, V. H., Werner, J., Borner, N., Fegg, F., Hartmann, D., Ladurner, R., Liokatis, P., Patzer, K., Schlager, J. G., Smolka, W., Zimmermann, P., Hatz, R., Steinhart, D., Glowalla, C., Schneidmueller, D., Henkel, K. W., Steiner, M., Holz, K., Knorr, C., Kuehlmann, B., Oikonomou, K., Prantl, L., Flurschutz, R., Honarpisheh, H., Kroger, M., Lepiorz, D., Luths, C., Niemeier, A., Sras, Y., Strate, T., Winter, T., Freiman, T., Gessler, F., Won, S. -Y., Widyaningsih, R., Hoffmann, S., Schafer, R. C., Thiel, J. T., Bertolani, E., Steidle, C., Uberruck, L., Yurttas, C., Ziegler, P., Zimmermann, A., Bolenz, C., Dayan, D., Greve, J., Hoffmann, T. K., Janni, W., Lobig, N., Schochter, F., Vahl, J. M., Wezel, F., Greif, V., Schmidbauer, S., Marsch, I., Schneider, R., Boenicke, L., Degener, S., Dreger, N. M., Horstmeier, F. C., Kruschwitz, J., Rombach, A., Schmidt, N., Seiberth, R., Singh, J., Smit, M., von Rundstedt, F. -C., Zirngibl, H., Diessner, J., Friedrich, S., Germer, C. -T., Helmer, P., Herrmann, J., Kranke, P., Kubler, H., Lock, J., Lotz, C., Meffert, R., Meybohm, P., Muller, S., Notz, Q., Popp, M., Schlegel, N., Schlesinger, T., Schmid, B., Sitter, M., Steinisch, A., Treutlein, A., van den Berg, A., Wurmb, T. E., Agyeman-Duah, N. K., Appiah, E., Armah, R., Asare, C., Awere-Kyere, L., Daary, D., Gakpetor, D., Allah, S. M., Obbeng, A., Osei-Poku, D., Puozaa, D., Tackie, E., Adu-Aryee, N. A., Agboadoh, N., Asare, O., Bowan, A. B., Brown, G. D., Clegg-Lamptey, J. -N., Dedey, F., Dery, C., Fenu, B. S., Harrison, M. A., Kumassah, P., Kuuzie, E., Nsaful, J., Olayiwola, D. O., Smith, C., Banka, C., Hussey, R., Azize, D. A., Aniakwo, L. A., Adofo-Asamoah, Y., Agbeno, E. K., Agyapong, M. M., Agyen, T., Mensah, K. A., Alhassan, B. A. B., Amoako-Boateng, M., Appiah-Thompson, P., Gyimah, N. A. -M., Asante-Bremang, M., Asante-Asamani, A., Atawurah, H., Appiah, A. B., Baidoo, R. O., Baidoo, E. I., Boakye, B., Boateng, A., Dadoe, D., Dayie, M. S. C. -J. K., Debrah, S., Doku, K., Enti, E., Ken-Amoah, S., Koggoh, P., Kpangkpari, R., Maison, P., Mensah, S., Mensah, P., Mensah, T. A., Morna, M. T., Nimako-Mensah, J., Nkrumah, J., Nortey, M., Ofori, E. O., Opandoh, I. N. M., Osei-Tutu, E., Adae, J. O., Quansah, K., Quartson, E., Rahman, G. A., Walawah, D., Yigah, M., Yussif, S., Jiagge, N., Nachelleh, E., Acquaye, J., Agbedinu, K., Agyei, F., Agyemang-Prempeh, A., Amo-Antwi, K., Amoah, M., Amoah, G., Amoako, Y. A., Aning, D. G., Ankobea-Kokroe, F., Mintah, D. A., Anyitey-Kokor, D., Appiah-kubi, A., Arthur, J., Ativor, V., Barnor, I., Braimah, Y., Darko-Asante, R., Davor, A., Issahalq, M. D., Dzogbefia, M., Emile, T., Fiifi-Yankson, P., Gaveh, V., Gudugbe, S., Gyabaah, S., Gyamfi, F. E., Gyedu, A., Gyimah, D., Hammond, B., Jonathan, B. -Y., Joseph, Y., Konney, T. O., Konney, A., Kusi, K., Kyei, I., Lovi, A., Naabo, N., Nimako, B., Nyadu, B., Nyarko, O. O., Ofosu-Barko, B. B., Oppong, P. P., Osabutey, A., Poku, M., Sagoe, R., Yifieyeh, A., Ansong, G., Abass, A., Abdul-Mumin, A., Adjeso, T., Alatiiga, J. A., Amadu, M., Annan, N., Leal, G. A., Bukari, M., Buunaaim, A., Cheyuo, E., Salifu, L. D., Damah, M., Dery, M., Dzantor, E. K., Garcia, O. G., Baba, Y. I., Issaka, A., Muntaka, A. -J. M., Murphy, J., Agyeman, Y. N., Amankwaa, W. O., Osman, I., Pie, S., Seidu, A. S., Sheriff, M., Charadan, A. M. S., Titigah, A., Yahaya, M., Yakubu, M., Yenli, E. M. T. -A., Grypiotis, I., Kiriakopoulos, N., Koliopoulos, G., Kyvelos, V., Micha, G., Papadopoulou, T., Balalis, D., Fradelos, E., Korkolis, D., Alexakis, N., Angelou, K., Haidopoulos, D., Prodromidou, A., Rodolakis, A., Thomakos, N., Psychogios, D., Antonakis, P., Bramis, K., Chardalias, L., Contis, I., Dafnios, N., Dellaportas, D., Dimitra, P., Fragkoulidis, G., Gkiokas, G., Gklavas, A., Hadjizacharias, T., Karageorgou, D., Konstadoulakis, M., Kontopoulou, C., Massaras, D., Memos, N., Papaconstantinou, I., Politis, D., Polydorou, A., Stamatis, K., Theodosopoulos, T., Vezakis, A., Avgerinos, K., Katunin, J., Kechagias, A., Kelgiorgi, D., Kritikos, N., Pengerma, P., Bisdas, T., Ioannidis, A., Konstantinidis, M., Konstantinidou, S., Patelis, N., Antonopoulou, M. I., Deskou, E., Kalles, V., Manatakis, D. K., Stamos, N., Tasis, N., Arkadopoulos, N., Danias, N., Economopoulou, P., Frountzas, M., Kokoropoulos, P., Michalopoulos, N., Selmani, J., Sidiropoulos, T., Vassiliu, P., Paraskevas, K. I., Bartziotas, D., Bouchagier, K., Galanis, I., Kalamatianos, T., Kapiris, S., Kolinioti, A., Mavrodimitraki, E., Metaxas, P., Nikova, A., Psarologos, M., Sotiropoulou, M., Stranjalis, G., Albanopoulos, K., Kondilis, P., Vrakopoulou, G. Z., Chrysovergis, A., Chrysovitsiotis, G., Giotakis, E., Kanellopoulou, V., Kyrodimos, E., Larentzakis, A., Pantos, P., Papanikolaou, V., Potamianos, S., Theodoropoulos, C., Triantafyllou, A., Triantafyllou, T., Georgousi, K., Panagiotou, P., Avramidis, E., Babis, G., Zafeiris, E., Antoniou, A., Bessias, N., Maras, D., Papas, T., Roditis, K., Tsagkos, I., Tsiantoula, P., Alexandrou, A., Baili, E., Charalabopoulos, A., Dimitroulis, D., Dorovinis, P., Garoufalia, Z., Kanavidis, P., Karavokyros, I., Karydakis, L., Kykalos, S., Kyros, E., Machairas, N., Mastoraki, A., Nikiteas, N., Papalampros, A., Schizas, D., Skotsimara, A., Stamopoulos, P., Syllaios, A., Terras, A., Tomara, N., Tsourouflis, G., Vagios, I., Zografos, C., Apostolou, K., Georgopoulos, N., Antoniou, T., Antzaka, C., Falara, A., Fragoulis, S., Ftikos, P., Matsouka, F., Perreas, K., Rellia, P., Samara, E., Smirli, A., Tasouli, A., Thanopoulos, A., Chalkias, P. L., Dedemadi, G., Mourmouris, P., Skolarikos, A., Theochari, N., Tzelves, L., Gaitanakis, S., Milas, T., Theodorakis, E., Karona, P., Kastanaki, P., Tzouganakis, A., Agalianos, C., Tsouknidas, I., Xenakis, A., Chrysos, E., Lasithiotakis, K., Nikolouzakis, T., Xenaki, S., Xynos, E., Lostoridis, E., Nagorni, E. -A., Pujante, A., Tourountzi, P., Al, A., Baxevanidou, K., Bouliaris, K., Efthimiou, M., Kalfountzos, C., Koukoulis, G., Lachanas, V., Petropoulos, K., Tsitiridis, I., Angelis, F., Arnaoutoglou, E., Baloyiannis, I., Bareka, M., Bouronikou, A., Christodoulidis, G., Daponte, A., Fergadi, M., Gkolias, N., Gkrinia, E., Hajiioannou, J., Kalogritsas, N., Karoni, E., Korais, C., Krestinidis, G., Ktisti, A., Magouliotis, D., Maiou, C., Malizos, K., Minasidou, M., Ntalouka, M., Ntziovara, A. M., Palla, E., Perivoliotis, K., Saini, F., Samara, A., Saratziotis, A., Skoulakis, C., Solomi, E., Stamoulis, K., Terzoudis, C. D., Tsironi, E., Tzovaras, G., Vallianou, K., Zacharoulis, D., Ziogkou, A., Elias, L., Maroulis, I., Mulita, F., Plachouri, K. -M., Vailas, M., Doitsidis, C., Filo, E., Gkalonaki, I., Kogia, E., Kontopoulou, K., Mitroudi, M., Panteli, C., Patoulias, I., Semkoglou, O. I., Sfoungaris, D., Valioulis, I., Astreidis, I., Christidis, P., Ioannidis, O., Loutzidou, L., Mantevas, A., Paraskevopoulos, K., Tatsis, D., Athanasiadis, A., Dagklis, T., Kalogiannidis, I., Kapetanios, G., Mamopoulos, A., Margioula-Siarkou, C., Petousis, S., Tsakiridis, I., Anthoulakis, C., Christou, C., Fantakis, A., Iordanidou, E., Kaselas, C., Panagiotidou, S., Papadopoulos, V., Papavasiliou, K., Piachas, A., Siasios, I., Spyridakis, I., Theodoridis, T., Tooulias, A., Tsiridis, E., Tsopozidi, M., Aleman, M., Brolo, E., Lemus, A. L., Greenberg, J., Chew, K. M. M., Oliva, J. R., Lima, M. A. D. L., Muralles, I. L., Solares, F., Ajcip, G., Anton, C., Cojulun, J., Flores, M. -A., Jose, N., Paiz, C. A. M., Morales, S., Najera, R., Lorenzana, E. Q., Rivera, P., Rodas, L., Santos, V., Sosa, D., Ybarra, N., Cajti, J. D. P., Regil, C., Osorio, W. A., Arriola, R. R., Tale-Rosales, L. -F., Herrera, D., Rodriguez, S. T. T., Villeda, S. A., Anicetti, J., Medina, A. M. L., Ardebol, J., Barillas, K., De Leon, F., Recinos, S., Marroquin-Alpirez, M. -A., Yax, Y., Hon, S., Liu, Y. H., Liu, A. Q., Liu, S., Chiu, H. T. N., Chow, C. M. T., Hau, V., Ip, H. W., Mak, B., Mok, C. Y., Ng, D., Siu, Y. Y. E., Wong, K. F., Pu, J. J., Su, Y. -X., Au-Yeung, K. Y., Chan, D. Y. C., Chan, A., Chan, S. M., Chang, T. C., Chiu, T. W., Chiu, W. K., He, Z., Ho, M. F., Ho, K. K. W., Ho, J. Y. K., Kung, J. W. C., Lam, C. H., Lau, R. W. H., Ling, S. K. K., Lok, H. T., Mak, T. W. C., Ng, C. -F., Ng, S., Ng, K. K. -C., Ng, C. S. H., Ong, M. T. Y., Tan, T., Tang, S. F., Teoh, J. Y. -C., Teoh, A., Tsui, B. S. Y., Wong, G. K. C., Wong, R., Wong, K. C., Yee, C. H., Antal, Z., Kalman, A., Voros, P., Bahrehmand, K., Echim, T., Novak, Z., Sztipits, T., Bihari, L. A., Hidi, L., Piros, L., Rozsa, B., Sotonyi, P., Szatai, L., Herczeg, G., Pordany, B., Tornyi, F., Dede, K., Egyed, T., Saftics, G., Kulcsicka-Gut, J., Sipos, Z., Toth, D., Patel, B., Majmudar, H., Mankad, S., Pathan, S., Sharathkumarkl, L., Sasatti, L., Mahankali, S., Annayappa, S. K. S., Agrawal, T., Anandan, P., Baindur, A., Bd, M., Savitha, C., Anitha, G. S., Harigond, S., Tejeswini, K. K., Kesarla, V., Manangi, M., Hareesh, P. B., Ranjan, J. K. R., Shetty, A., Chikkanayakanahalli, S. S., Sunil, T., Syamala, S., Tharanath, K., Atal, A., Rajagopal, N., Srinath, B. S., Nk, V., Thirumanikandan, P. L., Mishra, N., Shrivastava, S., Wadhwani, R., Ahmad, R., Haq, Z. A., Behera, P., Dhurwe, R., Haq, R., Jain, V., Karna, S., Pushpalatha, K., Raj, S., Santoshi, J. A., Singh, P., Verma, V., Waindeskar, V., Yadav, M. S., Aziz, Z., Chakraborty, K., Chappity, P., Das, G., Datta, D., Jena, S. K., Kar, M., Khuntia, S., Kumar, P., Kumar, R., Kv, A., Mishra, A., Mishra, S., Mittal, Y., Muduly, D., Panda, R., Panigrahi, S., Parija, S., Patra, S., Rout, B., Sahu, R., Sarkar, S., Singh, S., Sudha, S., Sultania, M., Tripathy, S., Varghese, P., Kansay, R., Kaushik, R., Gupta, S. K., Khare, S., Kumar, V., Mohindra, S., Patil, N., Salunke, P., Savlania, A., Singh, K., Pradeep Krishna, R. V., Narasimhan, G., Rela, M., Appukuttan, A., Goudar, S., Mallick, S., Titus, C., Chidambarasamy, E. S., Madhavan, D., Murugesan, A., Narayanasamy, K., Barani Kumar, P. B., Rajan, F., Vijayaragavan, P., Borthakur, B., Chauhan, T. S., Govil, A., Hanjoora, V. M., Srivastava, A., Tiwari, S., Vishwani, V., Pendyala, K. S., Prasad, N., Bothra, J., Deb, M., Herle, K., Jayaram, H., Kannaiyan, L., Krithiga, A., Mukta, W., Nagpal, P., Pathak, P., Banerjee, S., Chaudhary, R., Choudhary, G. R., Chugh, A., Dixit, P., Elhence, A., Gahlot, N., Garg, M., Ghuman, N. K., Jha, D., Kala, P., Kaur, A., Madduri, V., Pandey, H., Pareek, P., Pathak, M., Rathod, K. J., Rodha, M. S., Saxena, R., Sharma, N., Shekhar, S., Singh, M., Suryanarayanan, B., Vishnoi, J. R., Amin, S., Sharma, T., Murugesan, K., Ramasamy, A. B. S., Chatterjee, D., Gerber, C. G., Naskar, U., Aggarwal, G., Agrawal, S. K., Jain, P., Jain, D., Kewlani, V., Pipara, A., Priya, N., Raja, R., Shakya, S., Thambudorai, R., Kharkongor, D., Akhtar, N., Anand, A., Asnani, M., Chaturvedi, A., Chaurasia, A., Enny, L. E., Garg, S., Jaiswal, A. K., Jaiswal, S., Jaware, Y., Kala, N., Karnatak, R., Kumar, U., Shrivastava, A. K., Mehrotra, S., Mishra, B., Namrata, Ojha, B. K., Ozair, A., Pal, U. S., Pandey, A., Raja, N., Ramakant, P., Roy, A., Sachan, R., Sankhwar, S., Sankhwar, P., Sarin, D., Shukla, A., Singh, K. R., Singh, R., Singh, U., Solanki, V., Sonkar, A. A., Srivastava, C., Suryawanshi, P., Tewarson, V., Verma, R., Verma, M. L., Yadav, A., Chand, G., Chanthar, K. M. M. V., Hoysal, D., Batra, N., Bhatti, A., Chopra, R., David, S., Dhar, T., Dutt, U. K., Dutta, R., Gandhi, S., Haque, P. D., Paul Sudhakar John, B., Veetil, S. K., Kaur, G., Kumar, N., Luther, A., Mahajan, A., Mandrelle, K., Mathews, S., Michael, V., Mukherjee, P., Pargal, P., Paul, R., Phillip, A., Phillips, R., Samuel, A., Singh, N., Singh, I., Singh, A., Grewal, S. S., Singhania, A., Thirumalai, S., Varghese, A., Wesley, J., Thomas, J., Zechariah, P., Ifthikar, M. A., Mathew, R. T., Shetty, R., Vijaykumar, M. V., Hameed, B. M. Z., Ibrahim, S., Jyothish, G., Krishna, S., Mathew, S., Kumar, A. S., Sinha, P. K., Sridhar, R., Agarwal, S., Balasubramaniam, S., Chhatrapati, S., Deshpande, C., Dharia, A., Fernandes, S., Gore, M., Jayakumar, A., Mhamane, R., Nirgude, A., Parab, S., Patil, M., Peswani, A., Sahu, A., Samel, S., Shah, F., Haridas, D., Shetty, V., Abraham, B., Agarwal, V., Ahmad, Q., Asari, A., Attar, M. I., Ayyalasomayajula, N. S., Bachawat, S., Bachhav, S., Badhe, V., Badhwar, S., Basa, V. I. K. A. S., Bothara, V., Chattopadhyay, S., Chaudhari, S., Chavan, R., Chawathe, P., Dadhich, S., Dalal, A., Date, A., Deshpande, M., Dev, P., Dongre, N., Doshi, A., Gade, M., Gajjar, S., Gawande, M., Ghalme, A., Ghugare, B., Gupta, I., Jain, M., Jenasamant, S. S., Joshi, V., Kalwadia, N., Kapadia, N., Kattana, H. B. R., Kaushik, T., Kayal, A., Kovale, S., Kulkarni, Y., Kumar, K., Kumawat, K., Lad, V., Maskara, N., Mistry, R., Mohanty, S. R., Motwani, K., Mulchandani, M., Nadkarni, M., Pandey, S., Parab, M., Pardiwala, D., Patkar, A., Pawar, N., Pawar, A., Pednekar, A., Peshattiwar, V., Pokharkar, H., Potdar, O., Pothare, A., Rahmani, F., Rajput, S., Narendra, N. R., Rao, A., Rao, S., Rohela, H., Sakhrekar, R., Salunkhe, D., Sandlas, G., Sarkar, H., Satpathy, A., Sekhar, R., Shelke, Y., Shetty, S. S., Shetye, S., Kulkarni, A. S., Singal, U., Solanki, F., Sonawane, R., Thete, R., Vhatkar, R., Vora, S., Waigankar, S., Wasnik, S., Yadav, M., Yedave, R., Acharya, H., Bangar, A., Bharucha, M., Dhumane, P., Karmarkar, S., Nathani, R., Nehe, A., Nene, A., Noronha, W. J., Palapalle, N., Patel, P., Poyyil, D., Redkar, R., Shah, M., Tewari, S., Bakshi, G., Chaudhari, V., Deshmukh, A., Desoouza, A., Nair, D., Nayak, P., Patkar, S., Puri, A., Qureshi, S., Shetty, P., Shylasree, T., Thakkar, P., Thiagarajan, S., Tiwari, V. K., Voppuru, S. R., Soni, A., Soni, G., Alam, J., Bagaria, D., Bajpai, M., Bisoi, A. K., Chauhan, S., Choudhary, N., Chouhan, R. S., Chumber, S., Farooque, K., Gudala, V., Joshi, M., Kabra, A., Kale, S. S., Kumar, S., Mahajan, D., Malhotra, R., Menon, P. R., Misra, B., Mittal, S., Parshad, R., Priyadarshini, P., Sagar, S., Sharma, P. B., Sharma, V., Trikha, V., Tyagi, M., Bansal, K., Varma, K., Bhardwaj, R., Mittal, A., Ponnusamy, S., Singh, G. R., Tuli, I., Bhor, P., Dhar, S., Kale, S., Aggarwal, M., Gupta, H., Deshpande, A., Gadekar, A., Jaysingani, T., Panjwani, T., Patil, R., Vaidya, N., Vishwakarma, S. K., Wayal, U., Dutta, D., Arora, R., Dhingra, M., Garg, P. K., Huda, F., Kandwal, P., Kant, R., Seenivasagam, R. K., Joshua, L. M., Poonia, D. R., Rajput, D., Sadhasivam, S., Singh, V., Chandanwale, K., Philip, M., Thorat, V., Choudhury, Y., Das, D., Das, M., Goala, S., Laskar, F. Y., Laskar, P., Malik, K., Sarkar, A., Singha, S. T., Singha, M. N., Singha, D., Srungavarapu, G., Tapkire, R., Tling, S., Andrabi, S. M. I., Bhat, G. A., Chowdri, N., Kour, R., Parray, F., Shah, Z. A. M. I. R. A. H. M. A. D., Wani, R., Adamala, S., Gowder, R., Hegde, S., Mashitha, M. S., Sreeram, S., Ankadavar, S., Bafna, D., Dhanani, B., Ingle, N., Jadhao, P., Joseph, S., Kapote, S., Karkada, S., Lad, P., Lohia, R., Madje, S., Narasiman, V., Chisthi, M., George, G., Jothi, H., Pareed, D., Mathew, G. D. C., Abel, L., Agrawal, M., Rabindranath, B., Baldia, M., Barla, R. K., Beck, M., Benjamin, S., Bliss, J., Cherian, L., Devarakonda, S., Ete, G., George, A. J. P., Iovino, Claudio, CovidSurg Collaborarive, Frisoni T., Palmerini E., Donati D., Traina F., Solaini L., Pignatti M., Conti A., Internal Medicine, Collaborative, COVIDSurg, Collaborative, GlobalSurg, Apollo - University of Cambridge Repository, COVIDSurg Collaborative, Li, E, Emanuele Cammarata, Sofia Campanella, Daniela Canzonieri, Adriana Cordova, Federico De Michele, Ettore Dinoto, Mara Franza, Leo Licari, Daniele Matta, Domenico Mirabella, Felice Pecoraro, Roberto Pirrello, Pierfrancesco Pugliese, Fernando Rosatti, Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Vito Chiantera, Leo Licari, Palmisano, Silvia, de Manzini, Nicolo', Collaborative, Covidsurg, Collaborative, Globalsurg, Faculty of Medicine and Pharmacy, Clinical sciences, Medical Oncology, Basic (bio-) Medical Sciences, Diabetes Pathology & Therapy, Gastroenterology, Fruscio, R, Ornaghi, S, Surgical clinical sciences, COVIDSurg Collaborative (GlobalSurg, Collaborative), Beretta, L, and Aldrighetti, L.
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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
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- 2022
13. Overlapping gait pattern recognition using regression learning for elderly patient monitoring
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Hassan Fouad, Ahmed E. Youssef, Ibrahim Mustafa, and Yasser Kotb
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General Computer Science ,Computer science ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Wearable computer ,Pattern recognition ,02 engineering and technology ,Gait ,Regression ,03 medical and health sciences ,Identification (information) ,ComputingMethodologies_PATTERNRECOGNITION ,0302 clinical medicine ,Pattern recognition (psychology) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Artificial intelligence ,business ,030217 neurology & neurosurgery - Abstract
Gait recognition in elderly patient monitoring is a standard process that employs medical healthcare systems, wearable sensors, motion capturing devices, and Information and Communication Technologies (ICT). The patterns of the patient movement are observed at different time instances for identifying the abnormality in gaits to provide better assistance. In this article, a novel Overlapping Gait Pattern Recognition method based on Regression Learning (RL) is introduced. This method classifies the gait pattern based on the direction of movement and angle of deviation of the patient at the initial stage. The analyses of differentiation are performed using RL for identifying the errors and differences in gait patterns through correlation. The errors are recurrently analyzed through different iterates for approximating the recognition accuracy in a reduced time. The classification of patterns through correlation and conditional analysis of the regression helps identify the errors through intense learning and deviation identification. The proposed method is found to achieve better recognition accuracy, fewer error rates, and smaller recognition delays for different gait patterns.
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- 2020
14. Analyzing the Off-Grid Performance of the Hybrid Photovoltaic/Diesel Energy System for a Peripheral Village
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Md. Rafiqul Islam, Ibrahim Mustafa Mehedi, Ahmed I. Iskanderani, and Makbul A.M. Ramli
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Article Subject ,Renewable Energy, Sustainability and the Environment ,business.industry ,Computer science ,020209 energy ,Photovoltaic system ,TJ807-830 ,02 engineering and technology ,General Chemistry ,010501 environmental sciences ,Environmental economics ,01 natural sciences ,Load profile ,Renewable energy sources ,Atomic and Molecular Physics, and Optics ,Renewable energy ,Electrification ,0202 electrical engineering, electronic engineering, information engineering ,General Materials Science ,Diesel generator ,Rural electrification ,Electricity ,business ,Cost of electricity by source ,0105 earth and related environmental sciences - Abstract
Grid extension from the distribution network is being used to meet the demand for rural electricity all over the world. Due to the extra cost of extending electric lines to rural villages, it is not feasible as the installing and commissioning costs are directly related to several constraints such as distance from the main grid, the land location, utilities to be used, and the size of the approximate load. Consequently, it becomes a challenge to apply technoeconomic strategies for rural electrification. Therefore, considering the above issues of rural electrification through grid power, the renewable energy system can be an attractive solution. This research analyzes different types of loads considering domestic, industrial, and agricultural requirements for a remote village in a developing country like Bangladesh. In this paper, four types of demand scenarios are developed considering the income level of inhabitants of the village. The investigation identifies the optimal scope for renewable energy-based electrification and provides a suitable technoeconomic analysis with the help of HOMER software. The obtained results show that a combined architecture containing solar panel, diesel generator, and battery power is a viable solution and economically beneficial. The optimal configuration suggested for the primary scenario consists of 25 kW diesel generators to fulfill the basic demand. The hybrid PV-diesel-battery system becomes the optimal solution while the demand restriction is removed for secondary, tertiary, and full-option scenarios. Commercial and productive loads are considered in the load profile for these three scenarios of supply. For the primary scenario of supply, the electricity cost remains high as $0.449/kWh. On the other hand, the lowest electricity cost ($0.30/kWh) is obtained for the secondary scenario. Although the suggested optimal PV-diesel-battery might not reduce the cost of electricity (COE) and NPC significantly, it is capable to reduce dependency on diesel utilization. Hence, the emission of carbon is reduced due to less utilization of diesel that helps to minimize the greenhouse effect on the environment.
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- 2020
15. Tunable Photocatalytic Properties of Planar GaN/GeC Hetero-Bilayer: Production of H₂ Fuel
- Author
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Md. Rafiqul Islam, Md. Sakib Hasan Khan, Ibrahim Mustafa Mehedi, Muhammad Shaffatul Islam, and Md. Tanvir Hasan
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Electron mobility ,Materials science ,General Computer Science ,Band gap ,business.industry ,Binding energy ,Energy conversion efficiency ,General Engineering ,Gallium nitride ,02 engineering and technology ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,0104 chemical sciences ,chemistry.chemical_compound ,chemistry ,Water splitting ,Optoelectronics ,General Materials Science ,Direct and indirect band gaps ,0210 nano-technology ,business ,Photocatalytic water splitting - Abstract
Novel GaN-based van der Walls (vdW) hetero-bilayer (HBL) is systemically studied through the first-principles density functional theory (DFT) framework to explore its optoelectronic property facilitated photocatalytic activity for hydrogen (H2) fuel production. The vdW concept of planar GaN with GeC monolayer, together making stacked hetero-bilayer, shows unique and tunable optoelectronic properties that fulfill all the photocatalysis attributes. The confirmation of chemical and dynamical stabilities is made with negative interlayer binding energy and non-negative frequency in phonon spectra, respectively. Among the dynamically stable hetero-bilayers, binding energy in HBL 2 (AB1) is the lowest and interlayer distance ~2.954A is the smallest. The HBLs are sensitive to the stacking arrangements, where HBL 2 demonstrates type-I direct bandgap and HBL 6 (AB6) is Type-II direct bandgap. The intrinsic HBLs show superior carrier mobility as their effective masses are lower from their constituent monolayers. Also, the intrinsic absorption coefficient of the HBLs increase as high as ~106 cm−1, 10 times greater than conventional perovskite materials, which show outperforming optoelectronic conversion efficiency. Additionally, the HBLs are highly tunable in both bandgap and type due to biaxial strains and cross-plane electric fields. With biaxial strains, from compressive to tensile, both HBLs show monotonous bandgap lowering with a dominant direct-indirect bandgap splitting in HBL 2. Interestingly, for all the biaxial strains within the −6% to +6% range, both HBLs have sufficient kinetic overpotential for photocatalytic water splitting and an increase in visible peak by 3.5 (2) times in the HBL 6 (HBL 2). Electric fields also increase the photocatalytic water splitting performance with a net bandgap lowering and increasing the visible absorption peak by ~1.5 times compared with intrinsic HBLs. These promising properties that we have found in the planar GaN/GeC vdW hetero-bilayer are highly suggestive for the impending use of this material in photocatalytic water splitting technology to produce H2 fuel.
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- 2020
16. Serum level of Brain Derived Neurotrophic Factor and Insulin Resistance in Patients with Vitiligo
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Adel A Ebrahim, W.F. Rizk, Amany Ibrahim Mustafa, and Ola S El-Shimi
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Brain-derived neurotrophic factor ,medicine.medical_specialty ,Cellular immunity ,integumentary system ,business.industry ,Insulin ,medicine.medical_treatment ,General Medicine ,Vitiligo ,medicine.disease ,Insulin resistance ,Endocrinology ,Neurotrophic factors ,Internal medicine ,medicine ,Etiology ,Clinical significance ,skin and connective tissue diseases ,business - Abstract
The etiology of vitiligo is still unclear. However, suspected etiological factors include genetic, autoimmune, humoral immunity, cellular immunity, neurohumoral theory, and auto-cytotoxic hypothesis, the biochemical theory of vitiligo, oxidative stress hypothesis, melanocytorrhagy hypothesis, and decreased melanocyte survival hypothesis. was to investigate Brain derived neurotrophic factor in serum of patients with vitiligo and relate it to development of insulin resistence in them and assessment of its clinical significance. The aim of this case- control study to investigate the role of BDNF in development of insulin resistance in patients with vitiligo and assessment of its clinical significant on 30 patients suffering from Vitiligo (Group A) and 18 apparently healthy individuals of matched age and sex as a control group (Group B). Each tolerant might have been subjected will finish history bringing including pill intake, (e. G insulin) What's more mental history, complete general Furthermore dermatological clinical examination, estimation for serum level from claiming cerebrum inferred neurotrophic factor(BDNF), serum fasting insulin response Furthermore fasting blood glucose should ascertain insulin response imperviousness Toward HOMA comparison done patients and control aggregations utilizing proper systems. Clinched alongside current study, vitiligo bunch indicated essentially higher FBG, fasting insulin response Furthermore HOMA ir The point when contrasted with control one assembly. Serum level for BDNF Previously, Vitiligo aggregation might have been essentially higher when contrasted with control gathering. Starting with those comes about of the exhibit work, we finished up that, there might have been a huge part of BDNF to improvemen for insulin response safety in vitiligo patients Furthermore connected with seriousness for sickness Furthermore camwood be utilized Similarly as prediction systems from claiming Possibly vitiligo event alternately its seriousness.
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- 2020
17. Role of 8-Hydroxydeoxyguanosine in Patients with Alopecia Areata
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Abd El-Aziz Ibrahim El-Taweel, Ola S El-Shimi, Amany Ibrahim Mustafa, and Abdel-Zaher
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medicine.medical_specialty ,Venereology ,medicine.diagnostic_test ,business.industry ,Incidence (epidemiology) ,Physical examination ,General Medicine ,Alopecia areata ,medicine.disease ,Gastroenterology ,Quality of life ,Internal medicine ,medicine ,Outpatient clinic ,Medical history ,Clinical significance ,business - Abstract
Alopecia areata (AA) affects both sexes with a cumulative lifetime incidence of about 2% and no significant racial predominance. The condition is known to carry a considerable impact on health‐related quality of life. to evaluate serum level of 8-Hydroxydeoxyguanosine (8-OHdG) in patients with alopecia areata and to assess its clinical significance. study that included 50 patients suffering from AA. In addition, 30 apparently healthy individuals of matched age and sex as a control group. All patients were selected from the outpatient clinic of Dermatology, Andrology, and Venereology Department of Benha University Hospitals. All patients were subjected history taking. Clinical examination and serum level of 8-OHG. The mean age of AA was 30.7±11.4 years old and the majority of the patients were males. the serum level of 8-OHdG was significantly higher among AA patients than in control group and the difference was statistically significant (P-value =0.018). In addition, 8-OHDG showed fair diagnostic accuracy for the detection of AA. At cut off value of 18.1ng/ml, it has a sensitivity of 70% and a specificity of 60% for diagnosis of AA. we found that the serum level of 8-hydroxy-2′-deoxyguanosine (8-OHdG) was significantly higher in AA patients than healthy controls. In addition, serum 8-OHdG is a promising diagnostic and prognostic biomarker for AA. We found that serum 8-OHdG had fair diagnostic accuracy for the detection of AA presence and severity.
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- 2020
18. A low‐profile planar monopole antenna for ISM/IMT/Bluetooth/Zigbee/WiFi/WiMAX/WLAN wireless communication applications
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Ibrahim Mustafa Mehedi, Md. Mottahir Alam, Asif Irshad Khan, and Rezaul Azim
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Bluetooth ,Computer Networks and Communications ,Computer science ,business.industry ,law ,Electrical engineering ,Wireless ,Electrical and Electronic Engineering ,Antenna (radio) ,business ,Planar monopole antenna ,WiMAX ,law.invention - Published
- 2021
19. A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power
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Ibrahim Mustafa Mehedi, Motaeb Eid Alshammari, and Makbul A.M. Ramli
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Mathematical optimization ,Technology ,Control and Optimization ,Computer science ,020209 energy ,Chaotic ,Energy Engineering and Power Technology ,Context (language use) ,02 engineering and technology ,Fuzzy logic ,chaotic sequences ,economic emission dispatch ,Electric power system ,0202 electrical engineering, electronic engineering, information engineering ,security level ,Electrical and Electronic Engineering ,risk level ,Engineering (miscellaneous) ,Wind power ,Renewable Energy, Sustainability and the Environment ,business.industry ,020208 electrical & electronic engineering ,Probabilistic logic ,artificial bee colony ,Grid ,Renewable energy ,chance constraint problem ,business ,Energy (miscellaneous) - Abstract
Due to the rapid increase in the consumption of electrical energy and the instability of fossil fuel prices, renewable energy, such as wind power (WP), has become increasingly economically competitive compared to other conventional energy production methods. However, the intermittent nature of wind energy creates certain challenges to the power network operation. The combined economic environmental dispatch (CEED) including WP is one of the most fundamental challenges in power system operation. Within this context, this paper presents a new attempt to solve the probabilistic CEED problem with WP penetration. The optimal WP to be incorporated in the grid is determined in such a way that the system security is within acceptable limits. The system security is described by various fuzzy membership functions in terms of the probability that power balance cannot be met. These membership functions are formulated based on the dispatcher’s attitude. This probabilistic and non-convex CEED problem is solved using a new technique combining chaos theory and artificial bee colony (ABC) technique. In this improved version of ABC (IABC), chaotic maps are used to generate initial solutions, and the random numbers involved in the standard ABC are substituted by chaotic sequences. The effectiveness of IABC is tested on two groups of benchmark functions and practical cases. The impacts of dispatcher’s attitude and risk level are investigated in the simulation section.
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- 2021
20. Elements, Characteristics and Principle for Effectiveness Governance in Public Sector
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Shahnawaz Ali and Ibrahim Mustafa Khudir
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Multidisciplinary ,business.industry ,Corporate governance ,Public sector ,Accounting ,02 engineering and technology ,Private sector ,Profit (economics) ,030507 speech-language pathology & audiology ,03 medical and health sciences ,Good governance ,Shareholder ,ComputerSystemsOrganization_MISCELLANEOUS ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Business ethics ,0305 other medical science ,business ,Social responsibility - Abstract
Objective: This article analyses elements, characteristic and principle of corporate governance in the public sector. We are going to explore the significance and identify the need for a good governance in public entities. Methods: This study emphasizes comparative analysis of advantages and disadvantages of corporate governance. It also used historical methods for demonstrating the importance of progress in the concept of corporate governance. Several past research journals have been used to present a blend of the need and characteristics of Corporate Governance in the public sector. Through this study, the researchers have made an effort to prove the importance and effectiveness of corporate governance in the public sector. Findings: Delivering public services and satisfying public need is the most important goal of public authorities’ corporate governance. It also has aim to increase shareholders profit through obtaining citizen satisfaction. In addition, satisfying the need of client (citizen) can improve public benefit. Application/Improvements: The main areas of research interest in this still incipient area and it illustrates the ways in which public sector approaches to codes of good practice, corporate ethics and social responsibility differ from their equivalents in the private sector. This study explains and analyses the fundamental concepts of the Corporate Governance of public entities. Also, authors have aim to explain effective governance in the public sector. Keywords: Corporate Governance, Characteristics, Effectiveness, Elements, Principle, Public Sector
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- 2019
21. Serum retinol‐binding protein: a novel biomarker for recalcitrant cutaneous warts
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Ola S El-Shimi, Amany Ibrahim Mustafa, and Fatma M. El-Esawy
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Adult ,Male ,Vitamin ,endocrine system ,Adolescent ,Dermatology ,Sensitivity and Specificity ,Pathogenesis ,Young Adult ,030207 dermatology & venereal diseases ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Recurrence ,Humans ,Medicine ,Treatment Failure ,Young adult ,Vitamin A ,Papillomaviridae ,Epithelial cell differentiation ,Vitamin A Deficiency ,business.industry ,Binding protein ,Retinol ,virus diseases ,Healthy Volunteers ,Retinol binding protein ,chemistry ,030220 oncology & carcinogenesis ,Immunology ,Biomarker (medicine) ,Female ,Warts ,business ,Retinol-Binding Proteins, Plasma ,Biomarkers - Abstract
Cutaneous viral warts are benign epidermal proliferations caused by human papillomaviruses (HPVs). Despite treatment, a significant proportion of warts fail to resolve, becoming recalcitrant. Vitamin A (retinol) may disrupt the interplay of HPV replication and epithelial cell differentiation, allowing normal tissue to replace warts. Circulating retinol-binding protein (RBP) concentrations highly correlate with retinol levels.We aimed at evaluation of serum RBP level in patients with recalcitrant cutaneous warts in order to assess its correlation with disease pathogenesis.Serum RBP level was measured by an ELISA technique in 50 patients with recalcitrant cutaneous warts and 30 apparently healthy controls.Serum RBP level was significantly lower in patients with recalcitrant warts than the control group (P0.001). However, it did not differ regarding different clinical parameters in studied patients (P0.05 each). RBP is a reliable biomarker for significant early detection and discrimination between patients and healthy controls (P0.001) at a cutoff value ≤1034.6 μg/ml, with sensitivity and specificity (100% each).Our results revealed that low serum RBP as a relatively cheap biomarker with high specificity and sensitivity is a reliable indicator of vitamin A (retinol) deficiency that may play a role in the pathogenesis of recalcitrant cutaneous warts among our studied patients.
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- 2019
22. Serum interleukin‐17 as a novel biomarker in patients with acne vulgaris
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Amany Ibrahim Mustafa, Awad Mohamed El-Abd, and Adel A Ebrahim
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Dermatology ,Gastroenterology ,Young Adult ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Disease severity ,Internal medicine ,Acne Vulgaris ,medicine ,Humans ,Clinical significance ,In patient ,Acne ,business.industry ,Inflammatory skin disease ,Interleukin-17 ,Acquired immune system ,medicine.disease ,030220 oncology & carcinogenesis ,Biomarker (medicine) ,Female ,Interleukin 17 ,business ,Biomarkers - Abstract
BACKGROUND Acne vulgaris is a common chronic inflammatory skin disease involving pilosebaceous units. Both innate and adaptive immunity, especially the T helper 17 pathway, may contribute to the inflammatory response in acne. OBJECTIVES We aimed at evaluation of serum interleukin-17 (IL-17) level in patients with acne vulgaris in order to assess its role in disease pathogenesis and its clinical significance. METHODS Serum IL-17 level was measured by an ELISA technique in 80 acne vulgaris patients and 80 apparently healthy controls. RESULTS Serum IL-17 level was significantly higher in acne vulgaris patients than control group (P
- Published
- 2019
23. Creating modern designs for narrow interior spaces inspired by the art of origami
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Naglaa Ezzat Ahmed Mahmoud and Sanajak Ibrahim Mustafa Muhammad
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Architectural engineering ,Carving ,business.industry ,Computer science ,media_common.quotation_subject ,Space (commercial competition) ,Japanese art ,Field (computer science) ,Style (visual arts) ,Line (geometry) ,Function (engineering) ,business ,media_common ,Interior design - Abstract
When it comes to design our homes, which have a limited space, we are looking for all available means to successfully "furnish" the house, despite its limited space, so it is imperative to reach the smartest solutions for furnishing this house. These solutions would be conducive to getting the most out of small spaces, and it is preferable to use furniture pieces that are convertible from one function to another so that the furniture pieces perform more than one function, while taking a small space in the house. The multi-use furniture is the result of effective and innovative solutions in the field of interior design to the problem of small living space in light of the population growth and the financial crisis facing the world and the tendency of countries to horizontal expansion which is the acquisition of pieces of furniture that can be transformed from one shape to another or from one job to another in line with the modern style using the art of origami in order to achieve several objectives, including solving the problem of small spaces and making good use of them in addition to adding an aesthetic touch to the interior space, and this is done using the art of origami. Origami is an ancient Japanese art that means forming paper to make three-dimensional models using techniques of folding and carving and combining these techniques with various paper shapes to create composite designs. From the standpoint of emphasizing the role of the interior design in finding solutions for limited spaces, the idea of research came to conclude ideas for multi-use and convertible designs that serve narrow interior spaces using the art of origami.
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- 2018
24. Design and Numerical Analysis of a Graphene-Coated SPR Biosensor for Rapid Detection of the Novel Coronavirus
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Motiur Rahman, Abbas Z. Kouzani, Ibrahim Mustafa Mehedi, Masud Rana, Tarik Bin Abdul Akib, M. A. Parvez Mahmud, Rabiul Islam, and Samia Ferdous Mou
- Subjects
Analyte ,Materials science ,spike receptor-binding domain ,coronavirus ,TP1-1185 ,02 engineering and technology ,Biosensing Techniques ,biosensor ,Biochemistry ,Article ,Analytical Chemistry ,03 medical and health sciences ,sensor ,Figure of merit ,Humans ,Sensitivity (control systems) ,Electrical and Electronic Engineering ,Surface plasmon resonance ,Instrumentation ,Plasmon ,030304 developmental biology ,0303 health sciences ,Total internal reflection ,business.industry ,SARS-CoV-2 ,Chemical technology ,COVID-19 ,Surface Plasmon Resonance ,021001 nanoscience & nanotechnology ,Surface plasmon polariton ,Atomic and Molecular Physics, and Optics ,molecular detection ,rapid detection ,Optoelectronics ,Graphite ,0210 nano-technology ,business ,Biosensor - Abstract
In this paper, a highly sensitive graphene-based multiple-layer (BK7/Au/PtSe2/Graphene) coated surface plasmon resonance (SPR) biosensor is proposed for the rapid detection of the novel Coronavirus (COVID-19). The proposed sensor was modeled on the basis of the total internal reflection (TIR) technique for real-time detection of ligand-analyte immobilization in the sensing region. The refractive index (RI) of the sensing region is changed due to the interaction of different concentrations of the ligand-analyte, thus impacting surface plasmon polaritons (SPPs) excitation of the multi-layer sensor interface. The performance of the proposed sensor was numerically investigated by using the transfer matrix method (TMM) and the finite-difference time-domain (FDTD) method. The proposed SPR biosensor provides fast and accurate early-stage diagnosis of the COVID-19 virus, which is crucial in limiting the spread of the pandemic. In addition, the performance of the proposed sensor was investigated numerically with different ligand-analytes: (i) the monoclonal antibodies (mAbs) as ligand and the COVID-19 virus spike receptor-binding domain (RBD) as analyte, (ii) the virus spike RBD as ligand and the virus anti-spike protein (IgM, IgG) as analyte and (iii) the specific probe as ligand and the COVID-19 virus single-standard ribonucleic acid (RNA) as analyte. After the investigation, the sensitivity of the proposed sensor was found to provide 183.33°/refractive index unit (RIU) in SPR angle (θSPR) and 833.33THz/RIU in SPR frequency (SPRF) for detection of the COVID-19 virus spike RBD, the sensitivity obtained 153.85°/RIU in SPR angle and 726.50THz/RIU in SPRF for detection of the anti-spike protein, and finally, the sensitivity obtained 140.35°/RIU in SPR angle and 500THz/RIU in SPRF for detection of viral RNA. It was observed that whole virus spike RBD detection sensitivity is higher than that of the other two detection processes. Highly sensitive two-dimensional (2D) materials were used to achieve significant enhancement in the Goos-Hänchen (GH) shift detection sensitivity and plasmonic properties of the conventional SPR sensor. The proposed sensor successfully senses the COVID-19 virus and offers additional (1 + 0.55) × L times sensitivity owing to the added graphene layers. Besides, the performance of the proposed sensor was analyzed based on detection accuracy (DA), the figure of merit (FOM), signal-noise ratio (SNR), and quality factor (QF). Based on its performance analysis, it is expected that the proposed sensor may reduce lengthy procedures, false positive results, and clinical costs, compared to traditional sensors. The performance of the proposed sensor model was checked using the TMM algorithm and validated by the FDTD technique.
- Published
- 2021
25. Theoretical approach of the international business environment
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Nicolae Țău and Ibrahim Mustafa Sharfeldin Mohammedelkhatim
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General Medicine ,International business ,Business ,Industrial organization - Abstract
The definition of international business is related to commercial transactions that occur across country borders. The exchange of goods and services among peoples and businesses is organized between multiple countries. The term is composed of two words; International has many meanings, among them external and global. The word Business has also various senses such as trade, transaction and commercial relations. This huge number of words and concepts describes the large field of affairs. International business means the exchange of goods, services, resources, knowledge and skills among other things between two or more firms and/ or countries. It can also denote the trade conducted across national boundaries for the profit of all parties connected on an industry. It refers to negotiated commerce and investment performed by firms across boarders functioning together at several levels.
- Published
- 2021
26. Chaotic Search Based Equilibrium Optimizer for Dealing with Nonlinear Programming and Petrochemical Application
- Author
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Ibrahim Mustafa, Abd Allah A. Mousa, M. A. El-Shorbagy, and Hammad Alotaibi
- Subjects
equilibrium optimizer ,petrochemical engineering application ,0209 industrial biotechnology ,Mathematical optimization ,non-linear optimization ,Heuristic (computer science) ,Computer science ,Evolutionary algorithm ,Brute-force search ,Bioengineering ,02 engineering and technology ,lcsh:Chemical technology ,Nonlinear programming ,lcsh:Chemistry ,020901 industrial engineering & automation ,Search algorithm ,0202 electrical engineering, electronic engineering, information engineering ,Chemical Engineering (miscellaneous) ,Local search (optimization) ,lcsh:TP1-1185 ,business.industry ,Process Chemistry and Technology ,Constrained optimization ,constrained optimization ,lcsh:QD1-999 ,Benchmark (computing) ,020201 artificial intelligence & image processing ,chaotic mapping ,business - Abstract
In this article, chaotic search based constrained equilibrium optimizer algorithm (CS-CEOA) is suggested by integrating a novel heuristic approach called equilibrium optimizer with a chaos theory-based local search algorithm for solving general non-linear programming. CS-CEOA is consists of two phases, the first one (phase I) aims to detect an approximate solution, avoiding being stuck in local minima. In phase II, the chaos-based search algorithm improves local search performance to obtain the best optimal solution. For every infeasible solution, repair function is implemented in a way such that, a new feasible solution is created on the line segment defined by a feasible reference point and the infeasible solution itself. Due to the fast globally converging of evolutionary algorithms and the chaotic search’s exhaustive search, CS-CEOA could locate the true optimal solution by applying an exhaustive local search for a limited area defined from Phase I. The efficiency of CS-CEOA is studied over multi-suites of benchmark problems including constrained, unconstrained, CEC’05 problems, and an application of blending four ingredients, three feed streams, one tank, and two products to create some certain products with specific chemical properties, also to satisfy the target costs. The results were compared with the standard evolutionary algorithms as PSO and GA, and many hybrid algorithms in the same simulation environment to approve its superiority of detecting the optimal solution over selected counterparts.
- Published
- 2021
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27. Artificial Intelligence and Medical Internet of Things Framework for Diagnosis of Coronavirus Suspected Cases
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Abdulah Jeza Aljohani, Thangam Palaniswamy, Shaikh Abdul Latif, Mohammad Shorfuzzaman, Ibrahim Mustafa Mehedi, Abdul Latif, Aftab Alam, Ahmed I. Iskanderani, and Farzana Akther
- Subjects
Medicine (General) ,China ,Coronavirus disease 2019 (COVID-19) ,Databases, Factual ,Article Subject ,Computer science ,Internet of Things ,Biomedical Engineering ,MEDLINE ,Health Informatics ,Cloud computing ,02 engineering and technology ,Pattern Recognition, Automated ,R5-920 ,COVID-19 Testing ,Deep Learning ,Artificial Intelligence ,Computer Systems ,Medical technology ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Humans ,Computer Simulation ,Diagnosis, Computer-Assisted ,R855-855.5 ,Modalities ,Ensemble forecasting ,business.industry ,SARS-CoV-2 ,Deep learning ,X-Rays ,COVID-19 ,020206 networking & telecommunications ,medicine.disease ,United States ,020201 artificial intelligence & image processing ,Surgery ,Radiography, Thoracic ,Medical emergency ,Artificial intelligence ,Transfer of learning ,business ,Brazil ,Biotechnology ,Research Article - Abstract
The world has been facing the COVID-19 pandemic since December 2019. Timely and efficient diagnosis of COVID-19 suspected patients plays a significant role in medical treatment. The deep transfer learning-based automated COVID-19 diagnosis on chest X-ray is required to counter the COVID-19 outbreak. This work proposes a real-time Internet of Things (IoT) framework for early diagnosis of suspected COVID-19 patients by using ensemble deep transfer learning. The proposed framework offers real-time communication and diagnosis of COVID-19 suspected cases. The proposed IoT framework ensembles four deep learning models such as InceptionResNetV2, ResNet152V2, VGG16, and DenseNet201. The medical sensors are utilized to obtain the chest X-ray modalities and diagnose the infection by using the deep ensemble model stored on the cloud server. The proposed deep ensemble model is compared with six well-known transfer learning models over the chest X-ray dataset. Comparative analysis revealed that the proposed model can help radiologists to efficiently and timely diagnose the COVID-19 suspected patients.
- Published
- 2021
- Full Text
- View/download PDF
28. Numerical Investigation into Optoelectronic Performance of InGaN Blue Laser in Polar, Non-Polar and Semipolar Crystal Orientation
- Author
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Md. Masud Rana, Md. Rafiqul Islam, Ashraful Hossain Howlader, Lway Faisal Abdulrazak, Ibrahim Mustafa Mehedi, Priyo Nath Roy, Md. Shohanur Rahman, Sharadindu Gopal Kiratnia, Sourav Roy, Md. Shofiqul Islam, Md. Biplob Hossain, and Md. Mahmudul Hasan
- Subjects
Materials science ,Differential gain ,Band gap ,General Chemical Engineering ,02 engineering and technology ,01 natural sciences ,law.invention ,Inorganic Chemistry ,law ,quantum confined stark effect ,semipolar orientation ,0103 physical sciences ,lcsh:QD901-999 ,General Materials Science ,valence band ,010302 applied physics ,Blue laser ,InGaN ,business.industry ,Quantum-confined Stark effect ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Laser ,Polarization (waves) ,Optoelectronics ,frequency response ,Quantum well laser ,lcsh:Crystallography ,0210 nano-technology ,business ,Lasing threshold ,blue laser - Abstract
Recently, InGaN grown on semipolar and non-polar orientation has caused special attraction due to reduction in the built-in polarization field and increased confinement of high energy states compared to traditional polar c-plane orientation. However, any widespread-accepted report on output power and frequency response of the InGaN blue laser in non-c-plane orientation is readily unavailable. This work strives to address an exhaustive numerical investigation into the optoelectronic performance and frequency response of In0.17Ga0.83N/GaN quantum well laser in polar (0001), non-polar (101¯, 0) and semipolar (101¯, 2), (112¯, 2) and (101¯, 1) orientations by working out a 6 ×, 6 k.p Hamiltonian at the &Gamma, point using the tensor rotation technique. It is noticed that there is a considerable dependency of the piezoelectric field, energy band gap, peak optical gain, differential gain and output power on the modification in crystal orientation. Topmost optical gain of 4367 cm&minus, 1 is evaluated in the semipolar (112¯, 2)-oriented laser system at an emission wavelength of 448 nm when the injection carrier density is 3.7 ×, 1018 cm&minus, 3. Highest lasing power and lowest threshold current are reported to be 4.08 mW and 1.45 mA in semipolar (112¯, 2) crystal orientation. A state-space model is formed in order to achieve the frequency response which indicates the highest magnitude (dB) response in semipolar (112¯, 2) crystal orientation.
- Published
- 2020
29. Ophthalmic manifestations and vision impairment in Lassa fever survivors
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Emily J Engel, Lansana Kanneh, Steven Yeh, John S. Schieffelin, Don Grant, Matthew J. Vandy, Nell G. Bond, Jessica G. Shantha, Michael Gbakie, Ibrahim Mustafa, and Alexa L. Li
- Subjects
Male ,Pediatrics ,Viral Diseases ,Visual acuity ,genetic structures ,Eye Diseases ,Vision ,Visual Acuity ,Social Sciences ,Medical Conditions ,Medicine and Health Sciences ,Psychology ,Survivors ,Lassa fever ,Visual Impairments ,Multidisciplinary ,Middle Aged ,Infectious Diseases ,Lattice degeneration ,Medicine ,Female ,Sensory Perception ,medicine.symptom ,Anatomy ,Research Article ,Neglected Tropical Diseases ,Adult ,medicine.medical_specialty ,Science ,Visual impairment ,Vision Disorders ,Sierra leone ,Uveitis ,Young Adult ,Lassa Fever ,Cataracts ,Ocular System ,medicine ,Humans ,Retrospective Studies ,business.industry ,Cognitive Psychology ,Biology and Life Sciences ,Retrospective cohort study ,medicine.disease ,Tropical Diseases ,eye diseases ,Posterior segment of eyeball ,Ophthalmology ,Cross-Sectional Studies ,Lens Disorders ,Eyes ,Cognitive Science ,Perception ,sense organs ,business ,Head ,Neuroscience - Abstract
The purpose of this study was to describe the ocular findings, structural ocular complications, and vision impairment in a cohort of Lassa fever survivors in Kenema, Sierra Leone. A retrospective, uncontrolled, cross-sectional study of 31 Lassa fever survivors (62 eyes) who underwent an ophthalmic evaluation in January 2018 at the Kenema Government Hospital in Kenema, Sierra Leone was performed. Data collection included demographic information, ocular/systemic symptoms, visual acuity (VA), and ophthalmic examination findings. Main outcome measures included anterior and posterior segment ophthalmic manifestations and level of VA impairment in Lassa fever survivors. Anterior segment findings included cataract (18%) and pterygium (2%), while posterior segment manifestations consisted of glaucoma (6%), preretinal hemorrhage (2%), and lattice degeneration (2%). Findings suggestive of prior sequelae of uveitis included chorioretinal scarring (5%), retinal fibrosis (3%), and vitreous opacity (2%). Visual acuity was normal/mildly impaired in 53 eyes (85%), moderately impaired in 6 eyes (10%), and 3 eyes (5%) were considered blind by the World Health Organization (WHO) criteria. Median VA was worse in Lassa fever survivors with ophthalmic disease findings (p
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- 2020
30. Numerical analysis of gold coating based quasi D-shape dual core PCF SPR sensor
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Ibrahim Mustafa Mehedi, T. V. Mahendiran, Md. Masud Rana, Md. Amzad Hossain, Lway Faisal Abdulrazak, and Md. Biplob Hossain
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Materials science ,business.industry ,Multiphysics ,Modal analysis ,Polishing ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Finite element method ,Electronic, Optical and Magnetic Materials ,010309 optics ,Wavelength ,Optics ,0103 physical sciences ,Figure of merit ,Electrical and Electronic Engineering ,0210 nano-technology ,business ,Refractive index ,Photonic-crystal fiber - Abstract
In this article, a Quasi D-Shape dual core Photonic Crystal Fiber Surface Plasmon Resonance sensor is offered and numerically analyzed. The offered model is established comprising of circular air holes having an external sensing polishing layer coated with gold (Au) in order to ensure simple and straightforward design. The performance parameters are examined by means of modal analysis incorporated finite element method utilizing COMSOL multiphysics software. The sensor performance is analyzed with modifying the geometrical parameters like metal (Au) layer and pitch. It is observed; this model shows maximum amplitude sensitivity of 230 RIU−1 and wavelength sensitivity of 15,000 nm-RIU−1 incorporating amplitude interrogation method and wavelength interrogation method, respectively. The Figure of Merit is similarly considered and measured to 45 per RIU inbetween the refractive index ranging 1.42 RIU to 1.46 RIU. As a final point, a comparison has been given among the work explained in this paper with existing works.
- Published
- 2020
31. The distribution of the ABO and RH blood groups among different populations in the MENA region: A review
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Roan Zaid and Ibrahim Mustafa
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Blood type ,medicine.medical_specialty ,Blood transfusion ,business.industry ,medicine.medical_treatment ,Ethnic group ,030204 cardiovascular system & hematology ,Organ transplantation ,Blood group antigens ,03 medical and health sciences ,Future study ,0302 clinical medicine ,030220 oncology & carcinogenesis ,ABO blood group system ,Disease risk ,Medicine ,business ,Demography - Abstract
ABO and Rh (rhesus) blood grouping is one of the most widely available laboratory tests that could prevent possibly deadly mismatches following blood transfusion and organ transplantation. The distribution of the blood group antigens varies between different populations and ethnic groups. Our objective was to showcase these variations within the Middle East and North Africa (MENA) region and to outline the relationship between blood type and disease risk association to determine the current findings and outline possible future study areas. In healthy blood donors, blood group O was found to consistently be the most prevalent blood group and AB the least prevalent blood group except in Turkey where A is the most prevalent and, in the United Arab Emirates (UAE), where B is the least prevalent blood type.
- Published
- 2020
32. An Elitist Multi-Objective Particle Swarm Optimization Algorithm for Sustainable Dynamic Economic Emission Dispatch Integrating Wind Farms
- Author
-
Makbul A.M. Ramli, Motaeb Eid Alshammari, and Ibrahim Mustafa Mehedi
- Subjects
pareto front ,Computer science ,020209 energy ,Geography, Planning and Development ,Evolutionary algorithm ,TJ807-830 ,02 engineering and technology ,Management, Monitoring, Policy and Law ,TD194-195 ,Multi-objective optimization ,Renewable energy sources ,dynamic dispatch ,0202 electrical engineering, electronic engineering, information engineering ,GE1-350 ,Weibull distribution ,Wind power ,chance-constraint problem ,Environmental effects of industries and plants ,Renewable Energy, Sustainability and the Environment ,business.industry ,PSO ,Particle swarm optimization ,wind power ,Environmental sciences ,Alternative energy ,020201 artificial intelligence & image processing ,business ,Algorithm - Abstract
In recent years, wind energy has been widely used as an alternative energy source as it is a clean energy with a low running cost. However, the high penetration of wind power (WP) in power networks has created major challenges due to their intermittency. In this study, an elitist multi-objective evolutionary algorithm called non-dominated sorting particle swarm optimization (NSPSO) is proposed to solve the dynamic economic emission dispatch (DEED) problem with WP. The proposed optimization technique referred to as NSPSO uses the non-dominated sorting principle to rank the non-dominated solutions. A crowding distance calculation is added at the end of all iterations of the algorithm. In this study, WP is represented by a chance-constraint which describes the probability that the power balance cannot be met. The uncertainty of WP is described by the Weibull distribution function. In this study, the chance constraint DEED problem is converted into a deterministic problem. Then, the NSPSO is applied to simultaneously minimize the total generation cost and emission of harmful gases. To proof the performance of the proposed method, the ten-unit and forty-unit systems&mdash, including wind farms&mdash, are used. Simulation results obtained by the NSPSO method are compared with other optimization techniques that were presented recently in the literature. Moreover, the impact of the penetration ratio of WP is investigated.
- Published
- 2020
33. Ultra high birefringent dispersion flattened fiber in terahertz regime
- Author
-
Md. Ahasan Habib, Shaikh Abdul Latif, Md. Mottahir Alam, Ibrahim Mustafa Mehedi, and Md. Selim Reza
- Subjects
Materials science ,Birefringence ,business.industry ,Terahertz radiation ,02 engineering and technology ,Condensed Matter Physics ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,010309 optics ,020210 optoelectronics & photonics ,0103 physical sciences ,Dispersion (optics) ,0202 electrical engineering, electronic engineering, information engineering ,Optoelectronics ,Fiber ,Electrical and Electronic Engineering ,business - Abstract
In the current study, a novel Zeonex based porous core photonic crystal fiber (PC-PCF) is presented for polarization-maintaining and dispersion flattened in the terahertz (THz) region. For minimizing the Effective Material Loss (EML), an array of three rectangular and six triangular air holes are surrounded by hexagonal-shaped cladding. Finite Element Method (FEM) is employed through Comsol V5.3a software to design and examine the essential features of the proposed porous core fiber which revealed that it has an extremely small EML of 0.04 cm−1 at 1.2 THz and has almost zero flattened dispersion of 0.8 ± 0.08 ps/THz/cm in 1.0–1.4 THz frequency spectrum. Moreover, the optimum designing parameters offer an extremely high value of birefringence (0.043 at 1.2 THz). Besides, other major features notably bending loss, effective area, and confinement loss are also found to be precise and relatively low. For effective, adaptable and fitting transmission characteristics, this type of design would lay the foundations for broadband THz radiation wide variety of usage in the THz regime.
- Published
- 2020
34. Serum irisin: A prognostic marker for severe acne vulgaris
- Author
-
Amany Ibrahim Mustafa and Ola S El-Shimi
- Subjects
Male ,medicine.medical_specialty ,Adolescent ,Adipose tissue ,Adipokine ,030209 endocrinology & metabolism ,Dermatology ,Severity of Illness Index ,Pathogenesis ,Young Adult ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Insulin resistance ,Adipokines ,Predictive Value of Tests ,Reference Values ,Internal medicine ,Acne Vulgaris ,Myokine ,medicine ,Humans ,Acne ,business.industry ,Prognosis ,medicine.disease ,Endocrinology ,ROC Curve ,Case-Control Studies ,Biomarker (medicine) ,Female ,business ,Biomarkers ,Hormone - Abstract
BACKGROUND Acne vulgaris is a common chronic inflammatory skin disease involving pilosebaceous units. Adipokines are secreted by adipose tissue and function as signaling networks communicating it with different organs. They may have role in pathogenesis of acne vulgaris and the associated insulin resistance. Irisin, a hormone like myokine, is one of adipokines with anti-inflammatory, anti-oxidant, and anti-diabetic effects. AIMS We aimed at evaluation of serum irisin level in patients with acne vulgaris to assess its correlation with disease pathogenesis. PATIENTS AND METHODS Serum irisin level was measured by an ELISA technique in 60 acne vulgaris patients and 60 apparently healthy controls. Insulin resistance was calculated by Homeostasis Model Assessment of Insulin Resistance index. RESULTS Serum irisin level was significantly lower in acne vulgaris patients than control group (P
- Published
- 2018
35. Knee joint laxity does not moderate the relationship between quadriceps strength and physical function in knee osteoarthritis patients: A cross-sectional study
- Author
-
Ibrahim Mustafa Altubasi
- Subjects
Joint Instability ,Male ,musculoskeletal diseases ,030506 rehabilitation ,WOMAC ,Knee Joint ,Cross-sectional study ,Isometric exercise ,Osteoarthritis ,Quadriceps Muscle ,03 medical and health sciences ,0302 clinical medicine ,Musculoskeletal disorder ,medicine ,Humans ,Orthopedics and Sports Medicine ,Muscle Strength ,Aged ,030203 arthritis & rheumatology ,Orthodontics ,biology ,business.industry ,Recovery of Function ,Middle Aged ,Osteoarthritis, Knee ,biology.organism_classification ,medicine.disease ,Radiography ,Valgus ,Cross-Sectional Studies ,Coronal plane ,Multivariate Analysis ,Female ,0305 other medical science ,business - Abstract
Background Knee osteoarthritis is a common and a disabling musculoskeletal disorder. Patients with knee osteoarthritis have activity limitations which are linked to the strength of the quadriceps muscle. Previous research reported that the relationship between quadriceps muscle strength and physical function is moderated by the level of knee joint frontal plane laxity. The purpose of the current study is to reexamine the moderation effect of the knee joint laxity as measured by stress radiographs on the relationship between quadriceps muscle strength and physical function. Methods One-hundred and sixty osteoarthritis patients participated in this cross-sectional study. Isometric quadriceps muscle strength was measured using an isokinetic dynamometer. Self-rated and performance-based physical function were measured using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) physical function subscale and Get Up and Go test, respectively. Stress radiographs which were taken while applying varus and valgus loads to knee using the TELOS device. Knee joint laxity was determined by measuring the distance between joint surfaces on the medial and lateral sides. Hierarchical multiple regression models were constructed to study the moderation effect of laxity on the strength function relationship. Results Two regression models were constructed for self-rated and performance-based function. After controlling for demographics, strength contributed significantly in the models. The addition of laxity and laxity–strength interaction did not add significant contributions in the regression models. Conclusion Frontal plane knee joint laxity measured by stress radiographs does not moderate the relationship between quadriceps muscle strength and physical function in patients with osteoarthritis.
- Published
- 2018
36. Surgical robotic arm control for tissue ablation
- Author
-
K. Prahlad Rao and Ibrahim Mustafa Mehedi
- Subjects
Ablation Techniques ,medicine.medical_specialty ,Tissue ablation ,Medical Errors ,business.industry ,Cost-Benefit Analysis ,Thin layer ,030232 urology & nephrology ,Soft tissue ,Health Informatics ,Equipment Design ,Surgical procedures ,Excision biopsy ,Surgery ,03 medical and health sciences ,0302 clinical medicine ,Robotic Surgical Procedures ,030220 oncology & carcinogenesis ,medicine ,Humans ,Robotic surgery ,business ,Robotic arm ,Minimally invasive procedures - Abstract
In the technology driven era, robot assisted surgery is gradually emerging as a revolutionized surgical procedure over traditional laparoscopic method. Despite the concerns about robotic surgery for minimally invasive surgical procedures, robotized surgical arms have been used in many hospitals. Certain surgical procedures require removal of a segment of an organ or body part like excision biopsy, linear thin layer of soft tissue, triangular mass, and tangential excision in burn management, where shaving-off at an angle of the tissue layer to be removed. For such minimally invasive procedures, we have designed a surgical arm governed by a rotary flexible joint. The surgical arm has a medical grade scalpel in its one end and the other end is connected to a D.C. servo motor. The motion of the surgical arm is controlled by the newly designed non-integer order controller. We have experimentally demonstrated the functioning of the surgical arm by ablating the tissue in-vitro. Our surgical robotic arm is cost effective, high precision and free from potential human errors.
- Published
- 2019
37. The Association Between Femoral Neck-Shaft Angle and Aging and Its Influence on the Performance of Functional Activity: A Cross-Sectional Investigation
- Author
-
Ibrahim Mustafa Altubasi
- Subjects
medicine.medical_specialty ,Aging ,Physical Therapy, Sports Therapy and Rehabilitation ,Computed tomography ,03 medical and health sciences ,0302 clinical medicine ,Physical medicine and rehabilitation ,Medicine ,Humans ,Femur ,Association (psychology) ,Femoral neck ,030222 orthopedics ,medicine.diagnostic_test ,business.industry ,Femur Neck ,Rehabilitation ,Physical Functional Performance ,Preferred walking speed ,medicine.anatomical_structure ,Cross-Sectional Studies ,Healthy individuals ,Exercise Test ,Functional activity ,Geriatrics and Gerontology ,business ,Gerontology ,030217 neurology & neurosurgery - Abstract
The purposes of this study were first to examine the association between aging and both the magnitude and asymmetry in the femoral neck-shaft angle (NSA). The second purpose was to determine the effects of both the magnitude and NSA asymmetry on the performance of functional activities in healthy individuals. Fifty-one subjects participated in this study. The femoral NSA was measured on computed tomography scout images. The participants performed four performance tests. Four hierarchical regression models were constructed to explore the effect of each predictor on the outcomes. Aging was associated with NSA asymmetry, but not with the degree of NSA. Age contributed significantly to the variability of all functional performance tests except the 10-m walking speed. The degree of the NSA did not contribute to the prediction of the functional performance tests. However, asymmetry in the NSA added significantly to the prediction of all functional performance tests except the 10-m walking speed.
- Published
- 2019
38. GaN-based double-gate (DG) sub-10-nm MOSFETs: effects of gate work function
- Author
-
Ibrahim Mustafa Mehedi, Md. Tanvir Hasan, Abdulaziz Alshareef, and Md. Rafiqul Islam
- Subjects
010302 applied physics ,Materials science ,business.industry ,Transistor ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Gate control ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,law.invention ,CMOS ,law ,Modeling and Simulation ,0103 physical sciences ,Optoelectronics ,Double gate ,Work function ,Electrical and Electronic Engineering ,0210 nano-technology ,business - Abstract
Double-gate (DG) metal---oxide---semiconductor field-effect transistors (MOSFETs) with GaN channel material are very promising for use in future high-performance low-power nanoscale device applications. In this work, GaN-based sub-10-nm DG-MOSFETs with different gate work function, $$\varPhi $$ź, were designed and their performance evaluated. Short-channel effects (SCEs) were significantly reduced by introduction of gates made of dual metals. Use of gold at the source side, having higher $$\varPhi $$ź ($$\varPhi _{\mathrm{Au}}=5.11\,\hbox {eV}$$źAu=5.11eV) compared with aluminum ($$\varPhi _{\mathrm{Al}}=4.53\,\hbox {eV}$$źAl=4.53eV), at the drain side enhanced the gate control over the channel and screened the effect of the drain on the channel. Dual-metal (DM) DG-MOSFETs showed better results in the nanoscale regime and were more robust to SCEs. Therefore, GaN-based sub-10-nm DM DG-MOSFETs are suitable candidates for use in future complementary metal---oxide---semiconductor (CMOS) technology.
- Published
- 2018
39. Optimal feature selection using modified cuckoo search for classification of power quality disturbances
- Author
-
Abdullah Abusorrah, Mohammad Ajour, Hussein Mohammed Ridha, Muhyaddin Rawa, Masoud Ahmadipour, M. P. Abdullah, Zainal Salam, Hussein Bassi, and Ibrahim Mustafa Mehedi
- Subjects
Computer science ,business.industry ,Pattern recognition ,Feature selection ,Wavelet packet decomposition ,Slack variable ,Support vector machine ,Robustness (computer science) ,Differential evolution ,Harmony search ,Artificial intelligence ,Cuckoo search ,business ,Software - Abstract
The widespread usages of sensitive equipment such as computers, controllers and microelectronic devices have placed immense burden on the grid operators to deliver high quality electrical power to their customers. To achieve this end, the power quality disturbances (PQD) within the network need to be minimized. In this paper, a method to enhance the performance of the multiclass support vector machine (MSVM) classifier using the modified cuckoo search (MCS) is proposed. The wavelet packet transform is used to extract the crucial features from the PQD waveforms; these features are utilized as the input data to the classifier. In order to achieve high accuracy, robustness and speed, the MCS optimizes the number of selected features, as well as the penalty factor and slack variable of the MSVM. The proposed combinatorial algorithm (MCS-MSVM) is tested using 31 categories of PQD events; the hypothetical data for these events are generated by the IEEE 1159 Standard parametric equations. From simulation, the classification accuracy is recorded to be 100% under the no-noise condition, while at the signal-to-noise ratios (SNR) of 10, 20, 30 and 40 dB, the accuracies are 98.40, 98.54, 99.14 and 99.64%, respectively. Moreover, the comparative assessment concludes that the proposed method is superior to other heuristics-MSVM classification methods, namely the GA, PSO, differential evolution, harmony search and the conventional cuckoo search. The practical performance of the MCS-MSVM classifier is validated using real-time PQD data of a typical 11-kV underground distribution network, obtained from a particular electrical utility operator. For benchmarking, comparisons are made to 17 most recent PQD classification techniques published in literature. It is found that the proposed method exhibits the highest accuracies and the lowest computation times under ideal and noisy environments.
- Published
- 2021
40. Physical performance of elderly adults in association with thigh tissue composition: a cross-sectional study
- Author
-
Ibrahim Mustafa Altubasi
- Subjects
medicine.medical_specialty ,business.industry ,Cross-sectional study ,Muscles ,Principal component analysis ,Adipose tissue ,Physical Therapy, Sports Therapy and Rehabilitation ,Thigh ,Correlation ,03 medical and health sciences ,0302 clinical medicine ,medicine.anatomical_structure ,Physical performance ,Internal medicine ,Cardiology ,Medicine ,Original Article ,030212 general & internal medicine ,Elderly adults ,business ,Tissue composition ,030217 neurology & neurosurgery - Abstract
[Purpose] Literature has revealed age-related changes in body regional tissues in the form of reduced muscle size and increased adipose tissue. There is also a decline in the performance of physical function with aging. The aim of this study is to examine the partial and part correlations between physical performance and thigh tissue composition among elderly adults. [Subjects and Methods] Twenty-two elderly participants enrolled in this cross-sectional study. Mid-thigh CT images were used to determine the cross-sectional area of the muscular and adipose tissues. Principal component score of physical function was calculated from 5 performance based physical function tests using principal component analysis. Partial and part correlation statistics were used to explore the association between physical performance and tissue composition. [Results] There were significant, moderate negative partial and part associations between the principal component score and cross-sectional area of thigh muscles, quadriceps muscle and quadriceps normal density muscle. Significant, moderate positive partial and part correlations were found between intramuscular adipose tissue and the principal component score. [Conclusion] Elderly adults' performance of physical function is associated with regional tissue composition.
- Published
- 2017
41. Rotary flexible joint control by fractional order controllers
- Author
-
Ubaid M. Al-Saggaf, Ibrahim Mustafa Mehedi, Maamar Bettayeb, and Rachid Mansouri
- Subjects
0209 industrial biotechnology ,business.industry ,Robotics ,Control engineering ,02 engineering and technology ,Transfer function ,Computer Science Applications ,020901 industrial engineering & automation ,Integer ,Control and Systems Engineering ,Control theory ,Integrator ,0202 electrical engineering, electronic engineering, information engineering ,Trajectory ,020201 artificial intelligence & image processing ,Fractional-order control ,Transient response ,Artificial intelligence ,business ,Mathematics - Abstract
In this paper, a fractional order control law is proposed and implemented for the evaluation of trajectory tracking performance of a rotary flexible-joint system. A state feedback based fractional integral control scheme is used in this proposed method. In this scheme, state feedback is responsible for stabilizing the system. The compensator, in series with the fractional integrator leads to obtain a similar closed-loop transient response like Bode’s ideal transfer function. The effectiveness of the proposed controller in tracking and being robust against parameter uncertainties is demonstrated through simulation. In addition, to show the usefulness of the proposed control scheme, the fractional controller is compared to an integer state feedback control by simulation and through experimentation on the Quanser’s rotary flexible-joint system.
- Published
- 2017
42. Modern Strategy with Risk Mitigation of Future Renewable Energy in Iraq
- Author
-
Ali Sabri Allw, A.L Wasan Zaki Mohammad, and Falah Ibrahim Mustafa Al-Attar
- Subjects
History ,business.industry ,Natural resource economics ,business ,Risk management ,Computer Science Applications ,Education ,Renewable energy - Abstract
Iraq suffers from electricity shortages, through the local market and government institutions, has preliminary and applied information in the field of renewable energies, represented by solar energy, wind energy and bio-energy, at a simple level and small capacities, and in the near future it will rise to the levels of high energy stations. Note that the National Energy Strategy has set the percentage of renewable energy participation from total electric energy to reach 5%, about 2 Gigawatt by the year 2030. The plan includes several interval times, including the introduction of renewable energy in the agricultural sector to withdraw and pump water in drip irrigation systems, and the use of solar water heaters and heating systems and lighting systems operating with photovoltaic solar energy, as well as manufacturing all solar energy supplies and systems such as batteries, inverters, electric charger, solar heaters and solar panels, the effect of education and rationalization of consumption, increasing the efficiency of the use of electric energy, recycling waste to get rid of environmental pollution and producing biogas by Medium and large entrepreneurial systems in Iraqi cities. As well as the introduction of green building techniques in building homes, buildings and residential complexes to reduce electrical energy consumption with the introduction of solar-powered air conditioning systems. Reducing risks in renewable energy projects depends on several factors, including technology risks, monetary currency, natural resources, electrical grid risks, political risks, and the most dangerous are the risks resulting from terrorism and thefts at present in Iraq and requires an advanced and secure security system. Based on public datasets and reasonable assumptions, the provisional results obtained suggest the following; solar PV zones are located in the western region of Al-Anbar along the Jordanian Border. Despite the large capacities of these clusters, they are located at more than 300 km from Baghdad; wind zones are spread across the north-western area of Al-Anbar and south-eastern region, from Baghdad to Al-Basrah governorates.
- Published
- 2021
43. Critical evaluation and review of partial shading mitigation methods for grid-connected PV system using hardware solutions: The module-level and array-level approaches
- Author
-
Mohd Zulkifli Ramli, Hussain Bassi, Ibrahim Mustafa Mehedi, Zainal Salam, M. P. Abdullah, V.J. Chin, and Muhyaddin Rawa
- Subjects
Energy recovery ,Renewable Energy, Sustainability and the Environment ,business.industry ,Computer science ,020209 energy ,Photovoltaic system ,02 engineering and technology ,Grid ,Maximum power point tracking ,Power optimizer ,Solar micro-inverter ,0202 electrical engineering, electronic engineering, information engineering ,Inverter ,business ,Computer hardware ,Energy (signal processing) - Abstract
This paper reviews and evaluates the hardware solutions to mitigate the effect of partial shading for grid-connected photovoltaic (PV) system. It encompasses both the module-level as well as the array-level approaches. The former enhances the energy yield by maximizing the power extraction capability of each individual module. Here, three methods, namely the micro inverter, the power optimizer and the energy recovery circuit are covered. On the other hand, the array-level mitigation—which includes the dynamic and static array reconfigurations optimize the arrangement of the modules to minimize the effect of partial shading on the energy yield. Besides updating the important aspects of the technologies, this paper delves into the economic viability of the solutions, as well as the challenges and future trend. In addition, it benchmarks the performance of the module-level solutions with the system with string inverter using Simulink. It is discovered that if the plant is highly shaded, the net energy gain of the micro-inverter and power optimizer is significant. On the other hand, if the shading is non-existent, employing these devices can be counterproductive (in terms of yield).
- Published
- 2021
44. Exergy analysis of a MSF desalination plant in Yanbu, Saudi Arabia
- Author
-
Ahmed Al Ghamdi and Ibrahim Mustafa
- Subjects
Exergy ,Engineering ,Waste management ,business.industry ,020209 energy ,Mechanical Engineering ,General Chemical Engineering ,Environmental engineering ,02 engineering and technology ,General Chemistry ,Desalination ,law.invention ,Brine ,020401 chemical engineering ,law ,Heat recovery ventilation ,0202 electrical engineering, electronic engineering, information engineering ,Once through ,Exergy efficiency ,General Materials Science ,0204 chemical engineering ,business ,Distillation ,Water Science and Technology ,Process operation - Abstract
This study focuses on determining exergy destruction in a MSF Desalination plant located in Yanbu Saudi Arabia. A non-iterative code in MATLAB is developed to perform mass, energy, and exergy balances around the plant at normal load of distillate production (~ 159 kg/s) at 22.9 °C in the winter and at peak load (~ 200 kg/s) at 35.2 °C in the summer. Exergy flowrates are calculated and exergy destruction around each of the equipment is estimated. An exergy diagram is prepared to indicate equipment with highest exergy destruction. As expected the major exergy destruction occurs at the Heat Recovery Section (74.9%). The simulation results indicate that as the number of stages increase from 25 to 31 the percent exergy destruction drops from 74.9% to 69.2%. The second law efficiency of the plant is 3.22% and 2.84% at normal and peak load respectively. This efficiency is quite low and several measures can be done to improve it by decreasing inlet exergy to the plant and controlling exergy losses during process operation. Two variations in MSF designs i.e., Once Through (MSF-OT) and Brine Mixing (MSF-M) are considered. It is found that the design of MSF-M is a viable option to minimize exergy losses.
- Published
- 2016
45. Study of Skin Expression of MicroRNA-146a in Patients with Alopacia Areata
- Author
-
Ola S El-Shimi, Amany Ibrahim Mustafa, A.M. ElRafaie, Neveen E. Sorour, and S.F. Alshleyan
- Subjects
medicine.medical_specialty ,integumentary system ,business.industry ,General Medicine ,Alopecia areata ,medicine.disease ,Hair follicle ,Dermatology ,Outpatient facility ,medicine.anatomical_structure ,Expression (architecture) ,microRNA ,Medicine ,In patient ,business ,Skin lesion ,Misfortune - Abstract
Alopecia areata [AA] will be An as a relatable point hair passing condition that is described Eventually Tom's perusing intense onset about non-scarring hair misfortune for generally strongly characterized regions going starting with little patches will broad or lesquerella every now and again diffuse inclusion ,hair misfortune may be a critical reason for tension and inability. It need been broadly postulated that AA may be a organ particular immune system sickness for hereditary predisposition Furthermore an Ecological trigger. The part of microRNA [miRNA] done immune system maladies [AIMDs] may be from claiming uncommon vitality Concerning illustration skin lesions would a initial show fate to large portions for the individuals states. MiRNAs would little non-coding RNAs about more or less 22 nucleotides in length, which would made by the enzymatic cleavage of the endogenous essential transcripts, which hold An neighborhood clip structure, miR-203 may be communicated done differentiating units of the epidermis, hair follicle and sebaceous organ. The aim of this study was to investigate the role of miR-203 in patients with AA by assessment of its skin expression. This contemplate will incorporate 30 patients suffice starting with alopecia areata [Group An]. In addition, 20 Obviously sound people Similarly as An control bunch [Group B]. Constantly on patients will be chose from the outpatient facility for Dermatology, Venerology What's more Andrology division about Benha college healing centers. Punch biopsies were taken from each liable. MicroRNA-203 will make concentrated What's more assessed altogether tests utilizing RT-qPCR. Results: there might have been statistically huge distinction in level of miR-203 in patients from claiming AA contrasted with control gathering. AA patients hint at Exceptionally expanded level over miR-203 over tissue test clinched alongside think about with control assembly.
- Published
- 2018
46. Robust Surface-Engineered Tape-Cast and Extrusion Methods to Fabricate Electrically-Conductive Poly(vinylidene fluoride)/Carbon Nanotube Filaments for Corrosion-Resistant 3D Printing Applications
- Author
-
Saif Almheiri, Ibrahim Mustafa, Rahmat Agung Susantyoko, Chieh-Han Wu, Asma Almazrouei, and Ayoob Alhammadi
- Subjects
0301 basic medicine ,Materials science ,Electronic properties and materials ,Composite number ,lcsh:Medicine ,3D printing ,Fused filament fabrication ,Carbon nanotube ,Article ,law.invention ,Protein filament ,03 medical and health sciences ,0302 clinical medicine ,law ,Electrical resistivity and conductivity ,Composite material ,lcsh:Science ,Multidisciplinary ,business.industry ,lcsh:R ,030104 developmental biology ,lcsh:Q ,Extrusion ,Skin effect ,business ,030217 neurology & neurosurgery - Abstract
We developed a poly(vinylidene fluoride)/carbon nanotube (PVDF-MWCNT) filament as a feed for printing of electrically-conductive and corrosion-resistant functional material by fused filament fabrication (FFF). Using an environment-friendly procedure to fabricate PVDF-MWCNT filament, we achieved the best reported electrical conductivity of printable PVDF-MWCNT filament of 28.5 S cm−1 (90 wt% PVDF and 10 wt% CNT). The PVDF-MWCNT filaments are chemically stable in acid, base, and salt solution, with no significant changes in electrical conductivity and mass of the filaments. Our processing method is robust and allow a uniform mixture of PVDF and CNT with a wide range of CNT percentage up to 99.9%. We demonstrated the printing of PVDF-MWCNT filaments to create 3D shapes; printed using a low-cost commercial consumer-grade FFF 3D printer. We found many adjustments of printer parameters are needed to print filament with CNT content >10 wt%, but easier printing for CNT content ≤10 wt%. Since this was due to printer limitation, we believed that PVDF-MWCNT with higher CNT percentage (to a certain limit) and larger electrical conductivity could be printed with a custom-built printer (for example stronger motor). PVDF-MWCNT filament shows higher electrical conductivity (28.5 S cm−1) than compressed composite (8.8 S cm−1) of the same 10 wt% of CNT, due to more alignment of CNT in the longitudinal direction of the extruded filament. Printable PVDF-MWCNT-Fe2O3 (with a functional additive of Fe2O3) showed higher electrical conductivity in the longitudinal direction at the filament core (42 S cm−1) compared to that in the longitudinal direction at the filament shell (0.43 S cm−1) for sample with composition of 60 wt% PVDF, 20 wt% CNT, and 20 wt% Fe2O3, due to extrusion skin effect with segregation of electrically insulating Fe2O3 at the shell surface of PVDF-MWCNT-Fe2O3.
- Published
- 2019
47. Continuous Power Flow Analysis for Micro-Generation Integration at Low Voltage Grid
- Author
-
Ibrahim Mustafa Mehedi, Md. Rafiqul Islam, Md. Morshed Alam, and Carlos Moreira
- Subjects
Wind power ,Computer science ,business.industry ,020209 energy ,Node (networking) ,02 engineering and technology ,Power factor ,AC power ,Automotive engineering ,law.invention ,Power (physics) ,Capacitor ,law ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Power-flow study ,business ,Voltage - Abstract
The integration of micro-generation (μG) in distribution networks faces new challenges concerning the technical as well as commercial management. The μG integration in the Low and medium voltage distribution networks has many advantages for the grid operation, such as voltage profiles improvement, power losses reduction, and branches congestion levels reduction. This paper presents a method for guiding continuation power flow simulation of integrating μG on distribution feeders. A base model is designed with variable capacitor bank, μG unit such as PV and Wind generation are integrated. A control method is used to improve the voltage level of each node as well as improving power factor of the systems. The electricity consumption of a university's substation area where commercial, residential and municipal load are presented are modeled using actual data collected from each single residential hall and commercial buildings. This model allows analyzing the power flow and voltage profile along each distribution feeders on continuing fashion for a 24- hour period at hour-by-hour formulation. By dividing the feeder into load zones based on distance from each load node to distribution feeder head, the impact of integration of different μG operation in different condition has been discussed.
- Published
- 2019
48. Serum YKL40: A novel potential link between inflammation and dyslipidemia in acne vulgaris
- Author
-
Amany Ibrahim Mustafa, Ola S El-Shimi, Adel A Ebrahim, and Mai Abdallah Fathy
- Subjects
musculoskeletal diseases ,Male ,medicine.medical_specialty ,Adolescent ,Inflammation ,Dermatology ,Significant negative correlation ,Gastroenterology ,Pathogenesis ,030207 dermatology & venereal diseases ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Internal medicine ,Acne Vulgaris ,medicine ,Humans ,Chitinase-3-Like Protein 1 ,Acne ,Triglycerides ,Dyslipidemias ,medicine.diagnostic_test ,business.industry ,Matched control ,Cholesterol, HDL ,Cholesterol, LDL ,medicine.disease ,030220 oncology & carcinogenesis ,Case-Control Studies ,Lipidomics ,Female ,medicine.symptom ,Lipid profile ,business ,Dyslipidemia - Abstract
BACKGROUND Acne vulgaris (AV) is an inflammatory skin disorder that may be associated with metabolic disorders. The relation between lipid profile in acne is not widely investigated. Chitinase-3-like protein 1 (YKL-40) has been found to be implicated in different inflammatory conditions. AIMS We aimed at investigating the role YKL-40 in acne pathogenesis and associated dyslipidemia in acne patients. PATIENTS/METHODS This study included 50 acne vulgaris patients and 30 matched control subjects. Serum YKL-40 in addition to lipid profile were assessed in all studied subjects. RESULTS Serum YKL-40 level was significantly elevated in acne patients than healthy controls (P
- Published
- 2019
49. Mathematical Process Modeling and Biokinetics of Activated Sludge Processes
- Author
-
Ibrahim Mustafa, Hamad Al-Turaif, and Asmaa A. R. Awad
- Subjects
Activated sludge ,Mathematical process ,Chemistry ,business.industry ,Process engineering ,business - Published
- 2018
50. Analytical study of Metal-Insulator-Semiconductor contacts for both p- and n-InGaN
- Author
-
Abdullah Al Mamun Mazumder, Md. Rafiqul Islam, Md. Soyaeb Hasan, Ahmed I. Iskanderani, Md. Tanvir Hasan, and Ibrahim Mustafa Mehedi
- Subjects
010302 applied physics ,Materials science ,InGaN ,business.industry ,Doping ,MIGS model ,General Physics and Astronomy ,Schottky diode ,Insulator (electricity) ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Layer thickness ,lcsh:QC1-999 ,Contact Resistivity ,Semiconductor ,Fermi level pinning ,0103 physical sciences ,MIS Contact ,Optoelectronics ,Barrier Height ,Metal insulator ,0210 nano-technology ,business ,lcsh:Physics - Abstract
This paper has studied the metal–insulator-semiconductor (MIS) contact for both p- and n-InGaN. We found that the insulator layer thickness has a remarkable effect on the Fermi level pinning and barrier height reduction in MIS contacts. Schottky's formation with doped InGaN is explained by extending the MIS contacts' using the metal-induced gap states (MIGS) model. The J-V characteristics clarify the current transport mechanism through the MIS contact with InGaN semiconductor for different temperatures. We observed less control on the barrier height reduction in the case of n-InGaN through changing the thickness of the interfacial layer. The calculated contact resistivities of MIS contact with p- and n-InGaN show better results than the metal–semiconductor contact counterparts. These findings are highly significant to design and fabricate the InGaN based switching devices for converter applications.
- Published
- 2020
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