Author: "Mahmoud MI" - Searchworks@Jio Institute Digital Library Search Results

85 results on '"Mahmoud MI"'

1. Gender Differences in Prevalence of Sleepy Driving Among Young Drivers in Saudi Arabia

Author: Alqurashi YD, Alqarni AS, Albukhamsin FM, Alfaris AA, Alhassan BI, Ghazwani WK, Altammar AA, Aleid ME, Almutary H, Aldhahir AM, Alessy SA, Almusally R, Alsaid A, Mahmoud MI, Qutub HO, Sebastian T, Alghnam S, and Polkey MI
Subjects: sleepiness, driving, obstructive sleep apnea, osa, gender differences., Psychiatry, RC435-571, Neurophysiology and neuropsychology, QP351-495
Abstract: Yousef D Alqurashi,1 Abdullah S Alqarni,1 Faisal Maher Albukhamsin,1 Abdullah Abdulaziz Alfaris,1 Bader Ibrahim Alhassan,1 Waleed Khalid Ghazwani,1 Abdulaziz Abdulrahman Altammar,1 Mutlaq Eid Aleid,1 Hayfa Almutary,2 Abdulelah M Aldhahir,3 Saleh A Alessy,4 Rayyan Almusally,5 Abir Alsaid,5 Mahmoud Ibrahim Mahmoud,5 Hatem Othman Qutub,5 Tunny Sebastian,6 Suliman Alghnam,7 Michael I Polkey8 1Respiratory Care Department, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; 2Medical Surgical Nursing Department, King Abdulaziz University, Jeddah, Saudi Arabia; 3Respiratory Therapy Department, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia; 4Department of Public Health, College of Health Sciences, Saudi Electronic University, Jeddah, Saudi Arabia; 5Internal Medicine Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Khobar, Saudi Arabia; 6Clinical Nutrition Department, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; 7Population Health Section-King Abdullah International Medical Research Center (KAIMRC), King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Riyadh, Saudi Arabia; 8Royal Brompton Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, UKCorrespondence: Yousef D Alqurashi, Respiratory Care Department, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Dammam, 34221, Saudi Arabia, Email ydalqurashi@iau.edu.saIntroduction: Sleepy driving is associated with Motor Vehicles Accidents (MVAs). In Saudi Arabia, previous studies have addressed this association among men only. Therefore, the aim of this study was to compare the prevalence of sleepy driving and associated factors between genders.Methods: In a cross-sectional study design, we offered a self-administered online questionnaire to 3272 participants from different regions of Saudi Arabia. The questionnaire included 46 questions covering sociodemographics, driving habits, sleeping habits, Epworth Sleepiness Scale, and Berlin questionnaire to assess the risk of sleep apnea. Univariable and multivariable logistic regression analyses were used to determine the significant factors associated with self-reported sleepy driving, defined as operating a motor vehicle while feeling sleepy in the preceding six months.Results: Of the 3272 invitees, 2958 (90%) completed the questionnaire, of which 1414 (48%) were women. The prevalence of sleepy driving in the preceding six months was 42% (men: 50% and women 32%, p< 0.001). Specifically, participants reported the following: 12% had had to stop their vehicle due to sleepiness (men: 16.2% and women 7%, p< 0.001), 12.4% reported near-miss accidents (men: 16.2% and women: 8.2%, p< 0.001) and 4.2% reported an accident due to sleepiness (men: 4.3% and women: 4%, p=0.645). In multivariable analysis, being male, younger age, use of any type of medications, shift working, working more than 12 hours per day, driving duration of 3– 5 hours per day, driving experience of more than 2 years, excessive daytime sleepiness and risk of having obstructive sleep apnea were all associated with increased likelihood of falling asleep while driving in the preceding 6 months.Conclusion: Sleepy driving and MVA are prevalent in both gender but was higher in men. Future public health initiatives should particularly focus on men, since men reported a greater likelihood of both sleep-related MVA and “near miss” events.Keywords: sleepiness, driving, obstructive sleep apnea, OSA, gender differences
Published: 2024

2. Sudanese Medical Doctors’ Perceptions, Expectations, Experiences and Perceived Barriers Towards the Roles of Clinical Pharmacists: A Cross-Sectional Study

Author: Mahmoud MI, Maatoug MM, Jomaa AAAFA, and Yousif M
Subjects: physicians, clinical pharmacists, perceptions, expectations, experiences, barriers, Pharmacy and materia medica, RS1-441
Abstract: Mohammed Ibrahim Mahmoud,1 Maha Mirghani Maatoug,1 Abd Alkareem Ahmed Fadal Allah Jomaa,2 Mirghani Yousif1 1Department of Clinical Pharmacy & Pharmacy Practice, University of Gezira, Wad Medani, Gezira State, Sudan; 2Department of Pharmacology, University of Gezira, Wad Medani, Gezira State, SudanCorrespondence: Mohammed Ibrahim Mahmoud, Department of Clinical Pharmacy & Pharmacy Practice, Faculty of Pharmacy, 6 Jabra Ave, Al Khartoum, 11111, Sudan, Tel +249118208439, Fax +249183526178, Email Mohammedjrt@gmail.comPurpose: Interprofessional collaboration between physicians and clinical pharmacists has been shown to improve patients’ outcome by reduce medical errors, costs and patient adherence. Thus, the purpose of this study was to investigate the medical doctors’ perceptions, expectations, experiences, and perceived barriers regarding clinical pharmacists in Wad Medani.Methods: A cross-sectional study was conducted at five major hospitals in Wad Medani, between April and June 2021 using a self-administered questionnaire. The questionnaire was distributed among 178 physicians. The questionnaire consists of four sections, in addition to a demographic section. These four sections measure physicians’ perceptions, expectations, experience, and perceived barriers.Results: A total of 178 physicians were enrolled in the study. Physicians were comfortable with clinical pharmacists detecting and preventing prescription errors (55.1%); providing patient education (56.3%). Generally, physicians had high expectations with agreement rate of all the items ranged from 51.7% to 85.4%. Most physicians (79.8%) agreed that clinical pharmacists were a reliable source of general and clinical drug information. 64.0% and 59.0% of physicians perceive the unclear responsibility of clinical pharmacists and the lack of physicians’ experience with clinical pharmacists were barriers that can hinder clinical pharmacists’ contributions, respectively.Conclusion: Physicians had positive perceptions, expectations, and experiences with clinical pharmacists, and pointed out some barriers clinical pharmacists face. It was suggested that hospitals should recruit more clinical pharmacists to cover each unit within the hospital with clear job description and provide them CPD.Keywords: physicians, clinical pharmacists, perceptions, expectations, experiences, barriers
Published: 2022

3. On the effect of nano calcium carbonate on the flexibility and tensile-shear cracking resistance of greener WMA asphalt concretes containing RAP contents

Author: Farman Karimi, Seyed Roohollah Mousavi, and Mahmoud Miri
Subjects: Reclaimed asphalt pavement, Warm mix asphalt, Nano calcium carbonate, Fracture toughness and energy, Flexibility index, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract: Asphalt mixtures are widely used materials for paving roads, however, they need a significant amount of virgin materials, and their preparation process is environmentally unfriendly. In this regard, using less harmful production processes and using recycled materials can be beneficial. In the current study, the cracking resistance parameters (fracture toughness and fracture energy) of warm mix asphalt (WMA) mixtures, prepared with high contents of reclaimed asphalt pavement (RAP) were investigated, while different contents of nano calcium carbonate (NC) were used as a modifier. The cracking resistance studies were done for the full range of mode I/II fracture conditions. From the results, it is seen, that the addition of RAP increases both fracture toughness and fracture energy, regardless of the mode mixity and NC contents (respectively by an average, of 30 % and 20 %). The NC also made the mixture more resistant to cracking, so the enhancement of fracture energy by up to 30 % and the enhancement of fracture toughness by up to 20 % is observed. The NC optimum content was calculated in the range of 2–4 % (in weight of binder), varied based on the considered variables. As a result of increasing the material’s brittleness by adding RAP and NC, the flexibility index showed a decrease. In separate evaluations, the effect of variables on strength parameters was studied statistically, showing that the fracture toughness in mode II, is about 1.2–1.5 times higher than fracture toughness in mode I. Also, theoretical frameworks were used to predict the trend of fracture data, showing the consistency of experimental results and theoretical predictions.
Published: 2024
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4. Dual Inversion Recovery Magnetic Resonance Imaging's Diagnostic Value for Estimating the Overall Load of Multiple Sclerosis Lesions and its Anatomical Distribution

Author: Mahmoud Mishaal Mohamed, Maryam Issa Al-Ani, Gheyath Al Gawwam, Murtadha Hussein Alrubaye, and Ahmed Al-Imam Al-Imam
Subjects: Double inversion recovery, MRI, Anatomical distribution of multiple sclerosis., Medicine
Abstract: B Background: In young adults, multiple sclerosis is a prevalent chronic inflammatory demyelinating condition. It is characterized by white matter affection, but many individuals also have significant gray matter involvement. A double inversion recovery pulse pattern was recently proposed to improve the detectability of multiple sclerosis lesions. Objectives: To evaluate the diagnostic value of double inversion recovery sequence in the detection of cortical and white matter multiple sclerosis plaques in different brain anatomical locations. Subjects and methods: A total of 37 patients with an established diagnosis of multiple sclerosis were included in this cross-sectional study. Brain MRI was done using double inversion recovery, T2 and FLAIR sequences. The number of lesions was counted and compared in the three sequences. Results: Dual Inversion Recovery sequence was highly significant and superior to both T2 and FLAIR sequences (P < 0.001) in depicting the lesions regardless of anatomical distribution. Dual Inversion Recovery was significantly superior to T2 (P =
Published: 2024
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5. Comparative Study of Bipolar Vessel Sealing Clamp versus Traditional Method for Vaginal Hysterectomy

Author: Esraa Ahmed, Mahmoud Midan, and Walaa Elbassioune
Subjects: vaginal hysterectomy, bipolar vessel sealing system, ligasure, Medicine (General), R5-920
Abstract: Background: Hysterectomy is a gynecological surgical procedure that has been linked to raised women morbidity and mortality. The two most common problems related to hysterectomy are bleeding and pain. Hemostatic measures are constantly evolving, and LigaSure could be one of the significant milestones in this field.Aim of the work: To compare impacts of electrical bipolar vessel sealing clamp and conventional suturing method in woman undergoing vaginal hysterectomy.Patients and Methods: This was a prospective comparative randomized controlled trial, included 40 women diagnosed with benign lesions in uterus and scheduled for vaginal hysterectomy. Patients were separated into two groups; group [A]: Electrical bipolar clamp sealing method [20 patients], and group [B]: Traditional suturing ligation method [20 patient]. Groups were compared regarding operative duration, intra operative blood loss, post-operative pain and short-term complications from operation until postoperative day fourteen.Results: The LigaSure group had significant short operative duration [53.95 ± 6.94 min. vs. 62.90 ± 7.28 min.; P= < 0.001] and less blood loss [P= 0.002] compared to conventional method. Postoperative analgesia requirement at evening after surgery, day-1 and day-2 was significantly lower among vessel sealing than among conventional. Postoperative analgesia requirement at week-6 was not required in both groups.Conclusion: The use of LigaSure device can decrease operative time. When compared to traditional suture ligatures, it allows for faster, safer and more useful hemostasis while decreasing operative blood loss, pain status and hospital stay.
Published: 2023
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6. Comparative Study between Purse-String Double-Layer and Classical Closure for Repairing the Uterine Incision During Cesarean Section

Author: Mohamed Shenishan, Mahmoud Midan, Alaa Eldin Megahed, and Hamada Aboelmaaty
Subjects: cesarean section, purse-string, double-layer, Medicine (General), R5-920
Abstract: Background: Caesarean section rates continue to raise concerns due to their steady rise, especially in middle- and high-income countries.Aim of the work: The purse string double layer technique [Turan technique] and the conventional double layer method for closing the uterine incision following caesarean section were compared in the postoperative findings of this study.Patients and Methods: Eighty subjects divided randomly into two groups: Group [I]: pregnant women underwent uterine incision closure by classic double layer technique. Group [II]: pregnant women underwent uterine incision closure by purse string double layer [Turan] technique. Patients were examined and evaluated at the out -patient Gynecology Clinic in Al-Azhar University Hospital [Damietta].Results: The length of the uterine closure and the overall operation duration, which were greater in Group II, as well as the length of the Kerr incision after suturing [cm], which was shown to be longer in Group I, were both highly statistically significant differences between the two groups. Additionally, there were more statistically significant differences between the two groups in terms of the length of the Kerr incision before suturing [cm], the number of patients who needed additional sutures for haemostasis, the levels of haemoglobin before and after surgery, the amount of blood lost during the procedure, and the level of pain after the procedure.Conclusion: Based on the results of this study, Turan technique associated with better cesarean scar healing as regard [RMT, incidence of CS defect, scar length] than classic double layer technique.
Published: 2023
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7. The Role of Ultrasound in Prediction of Intraoperative Blood Loss in Cases of Placenta Accreta Spectrum Disorders

Author: Muhmed El-Sayed, Mahmoud Midan, and Eman Abd Elrehim
Subjects: abnormally invasive placenta, accreta, blood loss, placenta accreta spectrum, Medicine (General), R5-920
Abstract: Background: Placenta accreta spectrum [PAS] is one of the most dangerous complications in pregnancy after cesarean section, with high perinatal mortality. The first-line imaging methods employed in the evaluation of placenta accrete include grey scale and Doppler scanning. Aim of the work: To evaluate the efficacy of grey-scale ultrasound, 2D color Doppler, and 3D power Doppler sonographic markers in predicting major intraoperative blood loss for cases diagnosed with placenta accreta spectrum [PAS] disorders.Patients and Methods: The day before an expected delivery and hysterectomy, 59 women with PAS were examined for several sonographic indicators of placental invasion. After that, the women were split into two groups, group A [small hemorrhage, less than 2000 ml], and group B [major hemorrhage, greater than 2000 ml], and the results were examined.Results: In major group participants had higher number of previous CS as well as Gravidity, while gestational age in both groups were insignificantly different. We found significant higher US finding in Major group in all US parameter. The mean PAS score was 13.3 ± 3.2. The minor group had a mean of 10.9 ± 3.7, while the major group had a mean of 16.9 ± 3.9, with a significant difference between the two groups.Conclusion: When there are PAS abnormalities present, the use of 2D color Doppler and 3D power Doppler can aid in the prediction of severe bleeding. Placental lacuna, hypoechoic regions, and bridging vessels were the key predictors.
Published: 2023
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8. Lack of the human choline transporter‐like protein SLC44A2 causes hearing impairment and a rare red blood phenotype

Author: Bérengère Koehl, Cédric Vrignaud, Mahmoud Mikdar, Thankam S Nair, Lucy Yang, Seyve Landry, Guy Laiguillon, Claudine Giroux‐Lathuile, Sophie Anselme‐Martin, Hanane El Kenz, Olivier Hermine, Narla Mohandas, Jean Pierre Cartron, Yves Colin, Olivier Detante, Raphaël Marlu, Caroline Le Van Kim, Thomas E Carey, Slim Azouzi, and Thierry Peyrard
Subjects: blood group antigen, hearing impairment, red blood cells, SLC44A2, transfusion, Medicine (General), R5-920, Genetics, QH426-470
Abstract: Abstract Blood phenotypes are defined by the presence or absence of specific blood group antigens at the red blood cell (RBC) surface, due to genetic polymorphisms among individuals. The recent development of genomic and proteomic approaches enabled the characterization of several enigmatic antigens. The choline transporter‐like protein CTL2 encoded by the SLC44A2 gene plays an important role in platelet aggregation and neutrophil activation. By investigating alloantibodies to a high‐prevalence antigen of unknown specificity, found in patients with a rare blood type, we showed that SLC44A2 is also expressed in RBCs and carries a new blood group system. Furthermore, we identified three siblings homozygous for a large deletion in SLC44A2, resulting in complete SLC44A2 deficiency. Interestingly, the first‐ever reported SLC44A2‐deficient individuals suffer from progressive hearing impairment, recurrent arterial aneurysms, and epilepsy. Furthermore, SLC44A2null individuals showed no significant platelet aggregation changes and do not suffer from any apparent hematological disorders. Overall, our findings confirm the function of SLC44A2 in hearing preservation and provide new insights into the possible role of this protein in maintaining cerebrovascular homeostasis.
Published: 2023
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9. Single Valued Neutrosophic Kruskal-Wallis and Mann Whitney Tests

Author: Mahmoud Miari, Mohamad Taher Anan, and Mohamed Bisher Zeina
Subjects: kruskal-wallis, test statistic, chi square distribution, hypothesis testing, significance level, single valued neutrosophic number, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95
Abstract: In this paper, Kruskal-Wallis test is extended to deal with neutrosophic data in single valued form using score, accuracy and certainty functions to calculate ranks of SVNNs, also MannWhitney test is extended to deal with same data type which makes it possible to do a post-hoc test after rejecting null hypothesis using Neutrosophic Statistics Kruskal-Wallis test. Numerical examples were successfully solved showing the power of this new idea to deal with SVNNs and make statistical decisions on them.
Published: 2022
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10. Adenosine signaling inhibits erythropoiesis and promotes myeloid differentiation

Author: Mahmoud Mikdar, Marion Serra, Elia Colin, Romain Duval, Emilie-Fleur Gauthier, Yann Lamarre, Yves Colin, Caroline Le Van Kim, Thierry Peyrard, Bérengère Koehl, and Slim Azouzi
Subjects: Diseases of the blood and blood-forming organs, RC633-647.5
Abstract: Intracellular uptake of adenosine is essential for optimal erythroid commitment and differentiation of hematopoietic progenitor cells. The role of adenosine signaling is well documented in the regulation of blood flow, cell proliferation, apoptosis, and stem cell regeneration. However, the role of adenosine signaling in hematopoiesis remains unclear. In this study, we show that adenosine signaling inhibits the proliferation of erythroid precursors by activating the p53 pathway and hampers the terminal erythroid maturation. Furthermore, we demonstrate that the activation of specific adenosine receptors promotes myelopoiesis. Overall, our findings indicate that extracellular adenosine could be a new player in the regulation of hematopoiesis.
Published: 2023
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11. Study of Sex Hormone-binding Globulin Gene Polymorphism and Risk of Type 2 Diabetes Mellitus in Egyptian Men

Author: Mahmoud Mi, El Tarhouny Sa, Soha S. Zakaria, Abdu-Allah Am, Khaled M. Hadhoud, and Al Nozha Om
Subjects: medicine.medical_specialty, biology, business.industry, Case-control study, Type 2 Diabetes Mellitus, General Medicine, Type 2 diabetes, medicine.disease, Insulin resistance, Sex hormone-binding globulin, Endocrinology, Sex steroid, Internal medicine, Diabetes mellitus, polycyclic compounds, medicine, biology.protein, Original Article, business, hormones, hormone substitutes, and hormone antagonists, Testosterone
Abstract: OBJECTIVES Conditions of hypoandrogenism in men have been linked to insulin resistance, suggesting that alterations in normal sex steroid physiology could play a role in the pathogenesis of Type 2 diabetes mellitus (T2DM). Sex hormone-binding globulin (SHBG) gene polymorphisms may be the cause of sex steroid alteration. The aim of this work is to study the effect of SHBG gene polymorphisms on the risk of T2DM through its impact on testosterone and oestradiol level in Egyptian men. SUBJECTS AND METHODS A case control study was performed in the diabetes clinic at Zagazig University Hospital on 185 males with Type 2 diabetes and their matched healthy controls. Two polymorphisms (rs6257 and rs6259) of the gene encoding SHBG were genotyped and serum levels of SHBG, testosterone and oestradiol were measured by enzyme-linked immunosorbent assay (ELISA). RESULTS Carriers of rs6257 variant allele (CC or CT) and carriers of rs6259 wild allele (GG) appear to have a high risk of diabetes than carriers of other alleles (OR 2.241, 1.585 and 2.391, respectively). They also showed a significant decrease in plasma level of both SHBG and testosterone and a significant increase in oestradiol blood level compared with carriers of other alleles. CONCLUSIONS Sex hormone-binding globulin gene polymorphisms at position rs6257 and rs6259 are associated with higher risk of T2DM in Egyptian men, through lowering circulating levels of SHBG and consequently, lowering testosterone and elevating oestradiol level.
Published: 2014

12. Effective Equations for the Optimum Seismic Gap Preventing Earthquake-Induced Pounding between Adjacent Buildings Founded on Different Soil Types

Author: Mahmoud Miari and Robert Jankowski
Subjects: structural pounding, buildings, earthquakes, optimum seismic gap, soil types, least square method, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Abstract: The best approach to avoid collisions between adjacent structures during earthquakes is to provide sufficient spacing between them. However, the existing formulas for calculating the optimum seismic gap preventing pounding were found to provide inaccurate results upon the consideration of different soil types. The aim of this paper is to propose new equations for the evaluation of the sufficient in-between separation gap for buildings founded on different soil conditions. The double-difference formula has been taken into account in this study. The seismic gap depends on the correlation factor and on the top displacements of adjacent buildings. The correlation factor depends on the ratio of the periods of adjacent buildings (smaller period to larger period). The modification of the correlation factor has been introduced for buildings founded on five different soil types. Five soil types were taken into account in this study, as defined in the ASCE 7-10 code, i.e., hard rock, rock, very dense soil and soft rock, stiff soil, and soft clay soil. The normalized root mean square errors have been calculated for the proposed equations. The results of the study indicate that the error ranges between 2% and 14%, confirming the accuracy of the approach. Therefore, the proposed equations can be effectively used for the determination of the optimum seismic gap preventing earthquake-induced pounding between buildings founded on different soil types.
Published: 2023
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13. Investigating fire patterns and methods to improve its safety in the country\'s hospitals; A review study

Author: Mahmoud Mirakbari, Maryam Ooshaksaraie, Maryam Daneshmand mehr, Hossein Amouzad Khalili, and Seyed Ali Majidi
Subjects: hospital, fire pattern, safety, emergency exit, fire alarm system, types of hospitals, Public aspects of medicine, RA1-1270
Abstract: Introduction : A large number of hospitals and medical healthcare centers catch fire every year. Nowadays, one of the most significant challenges that hospital designers and health providers faced with is fire safety. This study conducted to determine a comprehensive model for fire safety in hospitals by reviewing related studies. Method: This study was conducted using a comprehensive review to find a research paper published on fire in hospitals. Electronic databases such as PubMed Scopus google were searched using the proper search strategy. Results: Overall, 14 studies were obtained. The findings were analyzed qualitatively through thematic synthesis and divided into some main themes: essential sections and divisions of hospitals in the field of fire, emergency exit patterns, materials and construction status, Flammable consumables materials in hospitals, and appropriate firefighting equipment. Conclusion: The dangers of medical equipment and flammable material, the types of firefighting equipment in the hospital building, architectural safety issues regarding the degree of fire resistance of structures, roofs, doors, walls, and emergency exit stairs are crucial points To protect staff and patients in hospitals that should consider simultaneously.
Published: 2020

14. Multiobjective Reliability-Based Design Optimization of Recycled Aggregates Used in Corrosive Environment Based on Response Surface Modelling

Author: Abdol Ghaium Dehvari, Mohsen Khazaei, Mohammad Reza Sohrabi, and Mahmoud Miri
Subjects: Engineering (General). Civil engineering (General), TA1-2040
Abstract: In this study, durability properties of concrete samples including rapid chloride migration and electrical resistance as corrosion evaluation indicators were tested. The effects of some environmental parameters including humidity percentage, temperature, and chloride concentration were also examined on concrete electrical resistance. The prediction models for mechanical and durability parameters of concrete were obtained using the response surface method. These models were then evaluated using a metaheuristic optimization algorithm coupled with a simple and fast usability new method of reliability evaluation. Eventually, the probabilistic optimal values of using recycled aggregates were calculated for achieving environmentally friendly concrete. Probabilistic multiobjective optimization results revealed that, in an environment with humidity of 70%, temperature of 23°C, and chloride ion concentrations of 3%, 5%, and 8%, use of recycled aggregates for above different chloride ion concentrations was limited to (33.56%, 13.23%), (32.14%, 5.56%), and (13.23%, 2.86%), recycled coarse and fine aggregates, respectively. Furthermore, optimization procedures were performed for the environment or precontaminant recycled aggregate with the chloride concentration of 10%, but the analysis procedure did not converge to an optimum design point.
Published: 2022
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15. Novel Drug Design for Treatment of COVID-19: A Systematic Review of Preclinical Studies

Author: Sarah Mousavi, Shima Zare, Mahmoud Mirzaei, and Awat Feizi
Subjects: Infectious and parasitic diseases, RC109-216, Microbiology, QR1-502
Abstract: Background. Since the beginning of the novel coronavirus (SARS-CoV-2) disease outbreak, there has been an increasing interest in discovering potential therapeutic agents for this disease. In this regard, we conducted a systematic review through an overview of drug development (in silico, in vitro, and in vivo) for treating COVID-19. Methods. A systematic search was carried out in major databases including PubMed, Web of Science, Scopus, EMBASE, and Google Scholar from December 2019 to March 2021. A combination of the following terms was used: coronavirus, COVID-19, SARS-CoV-2, drug design, drug development, In silico, In vitro, and In vivo. A narrative synthesis was performed as a qualitative method for the data synthesis of each outcome measure. Results. A total of 2168 articles were identified through searching databases. Finally, 315 studies (266 in silico, 34 in vitro, and 15 in vivo) were included. In studies with in silico approach, 98 article study repurposed drug and 91 studies evaluated herbal medicine on COVID-19. Among 260 drugs repurposed by the computational method, the best results were observed with saquinavir (n = 9), ritonavir (n = 8), and lopinavir (n = 6). Main protease (n = 154) following spike glycoprotein (n = 62) and other nonstructural protein of virus (n = 45) was among the most studied targets. Doxycycline, chlorpromazine, azithromycin, heparin, bepridil, and glycyrrhizic acid showed both in silico and in vitro inhibitory effects against SARS-CoV-2. Conclusion. The preclinical studies of novel drug design for COVID-19 focused on main protease and spike glycoprotein as targets for antiviral development. From evaluated structures, saquinavir, ritonavir, eucalyptus, Tinospora cordifolia, aloe, green tea, curcumin, pyrazole, and triazole derivatives in in silico studies and doxycycline, chlorpromazine, and heparin from in vitro and human monoclonal antibodies from in vivo studies showed promised results regarding efficacy. It seems that due to the nature of COVID-19 disease, finding some drugs with multitarget antiviral actions and anti-inflammatory potential is valuable and some herbal medicines have this potential.
Published: 2022
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16. البيوتات العلمية والمدارس في الحلة في القرن السادس حتَّى القرن العاشر 'دراسة تاريخية

Author: Thamer Abd and Mahmoud Mishaan
Subjects: القرن, الحلة, بيوتات, علماء, مجالس, مصادر, History of scholarship and learning. The humanities, AZ20-999, Arts in general, NX1-820, Language and Literature
Abstract: في هذا البحث حصلنا على معلومات ساعدتنا على إتمامه وإظهاره بالمظهر الذي يرضي الجميع إن شاء الله تعالى، فضلاً عن المخطوطات التي حصلنا عليها من المكتبات وفهارس المخطوطات التي ساعدتنا للوصول إلى معرفة أماكن كتابة هذه المخطوطات ومعرفة علمائها وتلاميذهم وبعد إتمامنا لهذا البحث، نرى في حاجة إلى الوقوف مليًّا عند بعض النَّتائج المهمة في البحث والتي استخلصناها كما يلي: إنَّ الحوزة العلمية في الحلَّة منذ انطلاقها العلمي في القرن السادس على يد الشيخ محمد بن إدريس (543ﻫ/1148م) (ت 598ﻫ/1201م) () وإلى حين أفولها في منتصف القرن العاشر الهجري كانت مركز للدراسات العلمية في العالم الإسلامي، والسبب الرئيس لهذا الانطلاق العلمي يرجع إلى دور العلماء والمدارس في النهضة العلمية لهذه المدينة، فقد كان اعتماد علماء الحلّة في بداية التَّدريس على بيوتاتهم، ولم يكن عقبة أمام علماء الحلَّة بل كان البديل لها هو بيوت العلماء فكانت هذه البيوتات تقوم بدور المدرسة، فأصبحت معاهد علم يؤمّها طلبة العلم من داخل المدينة ومن خارجها، وبعد ظهور الازدهار والتَّوسع العلمي الذي بلغ القمَّة في العطاء في القرن السابع والثامن الهجري وأصبحت الحِلَّة مركز علمي كبير ولجميع العلوم مثل: النَّسب والأدب فضلاً عن الفقه وأصوله وغيرها من العلوم، الكلمات المفتاحية: الرحلات، البيوتات، المدارس العلمية، العلماء، المجالس العلمية، إدريس
Published: 2021
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17. نماذج من أساليب تثبيت السلطة خلال العصر الفاطمي الأول (358-465 هـ /968-1072م)

Author: Mahmoud Mishaan
Subjects: الفاطميون, الخلفاء, مصر, الأثر, الأساليب, الأحداث, History of scholarship and learning. The humanities, AZ20-999, Arts in general, NX1-820, Language and Literature
Abstract: إنَّ الفاطميين سعوا بما لديهم من سياسة وحنكه، لإثبات صحة نبسهم، وقد أفادهم كثيرًا في تثبيت سلطانهم في مصر، وتقبل المصريون لفكرهم وسياستهم، وذلك للمكانة المقدسة للرسول محمد k ، وآل بيته في نفوس المصريين، وفتح مصر يُعد حدثاً أكثر من مجرد تغيّر في الأسر الحاكمة، بل عُدَّ انقلاباً جذرياً دينياً ثقافياً، فلأول مرة في التاريخ حَكمتْ مصرَ دولة لا تدين ولو بالولاء ولو الاسمي لبغداد، واتخذ الفاطميون من العطايا وسيلة للتقرب من الشعوب التي حكموها وتأليفاً لقلوب عامة المصريين واستمالة رجالات دولتهم من القادة والجند والعلماء والشعراء، واهتم خلفاء الدولة الفاطمية وكبار رجالات الدولة بالجانب الثقافي(الفكري)؛ لنشر أفكارهم ووسيلة للدفاع ضد خصومهم، فضلاً عن استعمالهم وسيلةً من وسائل دعوتهم السياسية على نحو ما اتخذته الأحزاب السياسية في العصر الحديث.
Published: 2021
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18. Experimental Investigation of Corrosion Cracking in Reinforced Concrete Beams Containing Nano Wollastonite

Author: Mahmoud Miri, Mohammad Reza Ghasemi, and Hossein Beheshti Nezhad
Subjects: reinforced concrete beam, corrosion, crack, nano wollastonite, gmdh-type neural network, Technology, Engineering (General). Civil engineering (General), TA1-2040
Abstract: Cracking of the concrete cover due to corrosion is defined as the serviceability limit state of reinforced concrete structures. This study evaluated the influence of a mineral admixture i.e. nano wollastonite on corrosion performance and serviceability of reinforced concrete structures by performing an accelerated corrosion test on ten reinforced concrete beams under a sustained load. To do so, five concrete beams were treated with nano wollastonite (NCW), while the others were normal concrete beams (NC). The results were discussed in terms of corrosion crack patterns, crack width, half-cell potentials, rebar mass loss, and rebar diameter degradation at different corrosion levels. The results showed that the incorporation of nano wollastonite in reinforced concrete beams increased the service life by increasing the initial cracking time, decreasing the corrosion crack growth rate and rebar mass loss. Given the maximum 0.3 mm corrosion crack width as limit state criteria, the lifetime of the NCW reinforced beams was 3.6 times longer than that of Group NC. The experimental results were compared with existing models. However, these models were unreliable in predicting the steel cross-section loss based on crack width. To solve this problem, a GMDH-type neural network model was developed and evaluated using obtained experimental data for NC and NCW beams.
Published: 2019
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19. An investigating the effect of using Lumachelle as a substitute of aggrigate in RCC

Author: Mahmoud Miri, Ali asghar Vataniouskouii, and Iman Abiri
Subjects: rcc, lumachelle, taftan pozollan, lime, compression strength, Bridge engineering, TG1-470, Building construction, TH1-9745
Abstract: According to lack of sufficient fine aggregate in some coastal area, using of other aggregate material are advisable. In this experimental study use of Lumachelle as a substitute of fine aggregates and replacement of lime and pozzolan as a part of cement are investigated on roller compacted concrete (RCC). RCC samples carried out and cured according to the related standard and compressive strength, splitting tensile strength, permeability and water absorption are examined. Totally, 9 different RCC mixtures include control mixture, 4 different mixtures include lime ( 5%, 10%, 15% and 20% of cement weight) were used as partial replacement of cement, and 2 different mixtures include 10% and 20% of pozzolan , by cement weight, as partial replacement of cement, were tested. Based on the results, among 5, 10, 15 and 20% of the lime used in this study, the replacement of 5% lime lead 3% increase in compressive strength and 7 % increase of tensile strength and it could be advisable for using in RCC. Moreover, the use of 20% substitutive Taftan pozzolan in RCC mix design decreases 24% of compressive strength and 11% of tensile strength in the short time. Besides, it improves resistance to get equal resistance with control sample in long-term that lead in 22% decrease depth penetration and 5% decrease in water absorption compared to control sample. Therefore use of 15 to 20% of pozzolan are also advisable according to the obtained results.
Published: 2019
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20. In Silico Recognition of Natural Products for Medical Care

Author: Mahmoud Mirzaei
Subjects: Natural product, In silico, Drug design, Therapeutics. Pharmacology, RM1-950, Pharmacy and materia medica, RS1-441
Abstract: Natural products have been always using for several types of applications by humankind for so many years. Food and medical applications have been seen very much important for such products in their original forms or reproduction in new forms. As a main resource for generating so many other compounds, synthetic derivatives have been evaluated for the essential extractions of natural products for more specified applications especially for medical core with controlled dosage medication and compounds. Therefore, recognition of potency of natural products for such specified application have been always seen as a dominant factor for undergoing further improvements in this case. Besides the original extracted essentials, modifying chemical structures could help for lead optimization of such important compounds for possible efficient cares. Indeed, lead optimization could be provided very well by employing in silico approach for potent chemical compounds up to reaching them to specified medication.
Published: 2021
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21. Study of Sex Hormone-binding Globulin Gene Polymorphism and Risk of Type 2 Diabetes Mellitus in Egyptian Men.

Author: El Tarhouny, SA, Zakaria, SS, Abdu-Allah, AM, Hadhoud, KM, Mahmoud, MI, and Al Nozha, OM
Abstract: Copyright of West Indian Medical Journal is the property of West Indian Medical Journal (WIMJ) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Published: 2015
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22. Synthesis and characterization of some novel diaryl urea derivatives bearing quinoxalindione moiety

Author: Sedighe Sadeghian-Rizi, Ghadamali Khodarahmi, Amirhossein Sakhteman, Ali Jahanian-Najafabadi, Mahboubeh Rostami, Mahmoud Mirzaei, and Farshid Hassanzadeh
Subjects: diaryl urea, quinoxalindione, sorafenib derivatives, Pharmacy and materia medica, RS1-441
Abstract: Diaryl urea derivatives have exhibited a broad spectrum of biochemical effects and pharmaceutical applications. Several diaryl urea derivatives such as sorafenib, regorafenib, linifanib, and tivozanib and lenvatinib are in clinical trial or clinical use. Therefore, development of small molecules within the diaryl urea scaffold with the ability of binding to variety of enzymes and receptors in the biological system are an interesting topic for researchers. Sorafenib as a diaryl urea derivative is a well-known anticancer agent. Corresponding to available information about biological activities of quinoxaline moieties, based on sorafenib scaffold, several structures were designed by replacement of pyridyl carboxamide group of sorafenib with quinoxalindione moiety. A total of 14 novel compounds in 7 synthetic steps were synthesized. Briefly, the amino group of p-aminophenol was first protected followed by O-arylation of 4-acetamidophenol with 5-chloro-2-nitroaniline to provide 5-(4-acetamidophenoxy)-2-nitroaniline. Reduction of the nitro group of 5-(4-acetamidophenoxy)-2-nitroaniline and cyclization of diamine N-(4-(3,4-diaminophenoxy) phenyl) acetamides with oxalic acid afforded compound N-(4-((2,3-dioxo-1,2,3,4-tetrahydroquinoxalin-6-yl)oxy)phenyl) acetamides which on deacetylation gave compounds 6-(4-aminophenoxy) quinoxaline-2,3 (1H, 4H)-diones. Then resultant compounds, 6-(4-aminophenoxy) quinoxaline-2,3 (1H, 4H)-diones were reacted by appropriate isocyanates/ carbamates to give the target compounds 1-(4-((2,3-dioxo-1,2,3,4-tetrahydroquinoxalin-6-yl)oxy)phenyl)-3-phenylureas. The structures of compounds confirmed by proton nuclear magnetic resonance (1H NMR), mass spectrum and Fourier transform infrared (FT-IR).
Published: 2018
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23. The effect of rebar coating types on bars corrosion of self-compacting concrete

Author: Mehdi Azhdary Moghaddam, Mahmoud Miri, and Mohsen Rigi
Subjects: self-compacting concrete, chloride ion penetration, bars corrosion, bars coating, oman sea, Bridge engineering, TG1-470, Building construction, TH1-9745
Abstract: In this paper the effect of different coating types of rebar on bars corrosion and durability of self-compacting concrete structures in Oman Sea (Chabahar port) are investigated. Self-compact concrete samples with three types of coating include 40 and 60 micron of zinc, epoxy and uncoated with 3,5 and 7 cm thickness of concrete cover were made and cured according to the related standards in tidal, submerged and atmospheric conditions for 14 months. Compressive strength test according to Standard BS 1881 part 116, water absorption according to Standard BS 1881 part 122, permeability test under water pressure according to Standard DIN 1048, permeability of chloride ion according to Standard ASTM C1152, electric resistance Cabera and corrosion potential according to ASTM G876 and bar weight loss were performed at different ages of samples. The results of weight loss and corrosion experiments indicate better performance of concrete with epoxy and zinc coated bar comparing to uncoated samples at different conditions. Also, 40 micron zinc coating decreased the weight loss of bars about 10 percent comparing with uncoated bars. The epoxy coating was decreased the weight loss about 4-8% on different samples. It should be noted that the increase of concrete cover from 3 to 5 and 7 cm decreased the weight loss from 34 to 27 and 21%.
Published: 2017
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24. Electronic Banking; a New Strategy to Create Customers’ Loyalty to Investment and Its Impact on Economic Initiatives

Author: Hamid Sadeghi Rad, Ali Rasoulian, Mahmoud Mirzaei, and Abbas Sharifipour
Subjects: electronic banking, trust in investment, investment special equity, loyalty, Business, HF5001-6182
Abstract: With technology development and the market conditions getting more competitive in different production and service sectors, loyal customer is considered as main capital of every organization. The expansion of internet global network has brought many benefits to all organizations including banks which along with considerable issues arise. Special equity of services including investment which became an important concept in marketing since 1980 is in fact the added value generated for the organization by using that service. The purpose of this research is to explain the loyalty of customers to investment through using electronic banking services in order to participate in advancing the economic projects, and also to empirically test whether this is related to trust in investment and investment special equity. Statistical population consists of customers of Saman bank in Mashhad city who have substantial account balance and are able to invest in economic projects suggested by bank. And their satisfaction with electronic banking services was investigated through random sampling. Needed information was collected using a questionnaire and correlations of variables were tested by means of Pearson correlation test and multiple regression. Analysis of the study findings using SPSS 16 shows that there is a positive correlation between trust in investment and investment special equity with customers’ loyalty to investment in economic projects by bank through using electronic services. And trust in investment and investment special equity are significantly related to two types of loyalty (attitudinal loyalty and behavioral loyalty).
Published: 2017

25. Docking study, synthesis and antimicrobial evaluation of some novel 4-anilinoquinazoline derivatives

Author: Rezvan Rezaee Nasab, Farshid Hassanzadeh, Ghadam Ali Khodarahmi, Mahboubeh Rostami, Mahmoud Mirzaei, Ali Jahanian-Najafabadi, and Mahboubeh Mansourian
Subjects: 4-anilinoquinazoline, synthesis, antimicrobial activity, antifungal activity, molecular docking, Pharmacy and materia medica, RS1-441
Abstract: A series of novel 4-anilinoquinazoline derivatives were designed and synthesized from benzoic acid through ring closure, chlorination or nucleophilic substitution. The structures of compounds were characterized by IR, 1H-NMR and mass spectroscopy. All synthesized derivatives were screened for their antimicrobial activities against Gram-positive (Staphylococcus aurous, Bacillus subtilis, Listeria monocitogenes) and Gram-negative (Escherichia coli, Pseudomonas aeruginosa, Salmonella entritidis) bacteria and also for antifungal activities against Candida albicans using the conventional micro dilution method. Most of the compounds have shown good antibacterial activities, especially compound 4c having highest activities against E. coli at 32 μg/mL concentration while the tested compounds did not exhibited remarkable antifungal activities. The potential DNA gyrase inhibitory activity of these compounds was investigated in silico using molecular docking simulation method. All compounds showed good results especially compound 4c which showed the lowest ΔGbind results (-8.16 Kcal/mol).
Published: 2017
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26. Synthesis, characterization, cytotoxic screening, and density functional theory studies of new derivatives of quinazolin-4(3H)-one Schiff bases

Author: Rezvan Rezaee Nasab, Farshid Hassanzadeh, Ghadam Ali Khodarahmi, Mahmoud Mirzaei, Mahboubeh Rostami, and Ali Jahanian-Najaf abadi
Subjects: quinazolinone, schiff base, density functional theory, cytotoxic activity, quantitative structure-activity relationship, Pharmacy and materia medica, RS1-441
Abstract: A series of novel derivatives of quinazolinone Schiff bases were synthesized from benzoic acid starting material and evaluated for potential cytotoxic activities against the human breast adenocarcinoma (MCF-7) and the human colon adenocarcinoma (HT-29) cell lines. Compared to the reference drug, these compounds showed good cytotoxic activities against studied cell lines especially compounds 4d and 4e. The ground-state geometries of these compounds (4a-g) were optimized at the B3LYP/6–31G* density functional theory (DFT) level. Then maximum absorptions electron affinity, ionization potential, electronegativity (χ), energy gap (Egap), hardness (η), softness (S), electrophilicity (ω), and electrophilicity index (ωi) were calculated and discussed. The quantitative structure-activity relationship (QSAR) properties including the physicochemical parameters were also evaluated and studied. The computed properties of our novel synthesized compounds were compared with erlotinib compound.
Published: 2017
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27. Biological evaluation, docking and molecular dynamic simulation of some novel diaryl urea derivatives bearing quinoxalindione moiety

Author: Sedighe Sadeghian-Rizi, Ghadamali Ali Khodarahmi, Amirhossein Sakhteman, Ali Jahanian-Najafabadi, Mahboubeh Rostami, Mahmoud Mirzaei, and Farshid Hassanzadeh
Subjects: diaryl urea, quinoxalindione, docking, cytotoxic, molecular dynamic simulation, sorafenib, Pharmacy and materia medica, RS1-441
Abstract: In this study a series of diarylurea derivatives containing quinoxalindione group were biologically evaluated for their cytotoxic activities using MTT assay against MCF-7 and HepG2 cell lines. Antibacterial activities of these compounds were also evaluated by Microplate Alamar Blue Assay (MABA) against three Gram-negative (Escherichia coli, Pseudomonas aeruginosa and Salmonella typhi), three Gram-positive (Staphylococcus aureus, Bacillus subtilis and Listeria monocitogenes) and one yeast-like fungus (Candida albicans) strain. Furthermore, molecular docking was carried out to study the binding pattern of the compounds to the active site of B-RAF kinase (PDB code: 1UWH). Molecular dynamics simulation was performed on the best ligand (16e) to investigate the ligand binding dynamics in the physiological environment. Cytotoxic evaluation revealed the most prominent cytotoxicity for 6 compounds with IC50 values of 10-18 μM against two mentioned cell lines. None of the synthesized compounds showed significant antimicrobial activity. The obtained results of the molecular docking study showed that all compounds fitted in the binding site of enzyme with binding energy range of -11.22 to -12.69 kcal/mol vs sorafenib binding energy -11.74 kcal/mol as the lead compound. Molecular dynamic simulation indicated that the binding of ligand (16e) was stable in the active site of B-RAF during the simulation.
Published: 2017
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28. Impact of Kelussia odoratissima Mozaffarian lipid profile and fasting blood sugar in hyperlipidemia patients

Author: Marzieh Kafeshani, Mahmoud Mirhosseini, Ali Momeni, Rahmatollah Rabiei, and Mahmoud Rafieian-Kopaei
Subjects: Hyperlipidemia, Human, Kelussia odoratissima, Triglyceride, Cholesterol, Therapeutics. Pharmacology, RM1-950, Diseases of the genitourinary system. Urology, RC870-923
Abstract: Introduction: Hyperlipidemia is associated with increased risk of cardiovascular disease. Each type of medication works differently and has different types of side effects. Flavonoids are a group of polyphenolic compounds with antioxidant properties that help reducing the cardiovascular risk factors. Kelussia odoratissima is a flavonoid containing plant. Objectives: The aim of this study was investigating the effect of this herb on lipid and glucose profile in hyperlipidemia patients.Patients and Methods: This study performed on 61 hyperlipidemia patients. They assigned in control and intervention groups. The control group received 40 mg/day of lovastatin and intervention group received 40 mg/day of Lovastatin plus 2 g/day powder of Kelussia odoratissima. Before, two weeks and 1 month after the beginning of the study, cholesterol, triglyceride (TG), low density lipoprotein cholesterol (LDL-C), very low density lipoprotein cholesterol (VLDL-C), high density lipoprotein cholesterol (HDL-C), and fasting blood sugar (FBS) were measured. Data were analyzed by variance analysis with repeated measures, chi-square and t tests. Results: The reduction rate of cholesterol, TG, VLDL-C and LDL-C was similar in the control and intervention groups. The HDL-C rate was higher in intervention group compared to control group (P < 0.05). The mean LDL/HDL ratio decreased during the study (P < 0.001); however, there was not any significant difference between the two groups (P > 0.05). The mean of FBS did not change between and within groups (P > 0.05). Conclusion: Kelussia odoratissima did not have a desirable effect on serum lipid profile and FBS in hyperlipidemic patients that use lovastatin, but is able to increase HDL-C significantly
Published: 2017

29. Occupational Interests towards social services according to some variable (Field study in a sample of Tishreen University students)

Author: Mahmoud milad, Soulieman kassouha, and Thaer issa
Subjects: History of scholarship and learning. The humanities, AZ20-999
Abstract: The current research aimed to study differences in Attitudes between individuals belonging to the social pattern. It studied the variable of the college to which the students of the three faculties of social pattern as one of the patterns of professional orientation, which are the faculties of education, literature and nursing from the Tishreen University colleges. The Strong Scale for Professional Trends he (social service axis) was used as a research tool and was applied to a sample of 300 students. The results showed that there are differences on the scale of social services among the students of the Faculty of Education and Nursing for the benefit of students of Education. The results also revealed differences on the scale of social services among the students of the Faculty of Education and literature for the benefit of students of Education. And the absence of statistically significant differences on the scale between students of literature and Nursing.
Published: 2019

30. Academic self-organization and its relation of Damascus University students

Author: Mahmoud milad, Soulieman kassouha, and Thaer issa
Subjects: History of scholarship and learning. The humanities, AZ20-999
Abstract: The aim of the current research is to explore the relationship between academic self-regulation and in a sample of students of the Faculty of Civil Engineering and the Faculty of Education at Damascus University, in addition to knowledge of the differences in both academic self-regulation and due to specialization and sex (males and females). The sample consisted of (115) male and female students with 62 students from the Faculty of Education and (53) males from the Faculty of Civil Engineering. The number of male and female students was( 59 females and 56 students. . For this purpose, the measure of academic self-regulation was used, after verifying their sincerity and persistence with the sample members of the current study. The results showed that the effect of both specialization and gender had a significant impact on academic self-regulation
Published: 2018

31. Depression Still Requires Novel Psychiatric Medication

Author: Maryam Kowsar and Mahmoud Mirzaei
Subjects: Depression, Therapeutics. Pharmacology, RM1-950, Pharmacy and materia medica, RS1-441
Abstract: Depression is a mood disorder which leads to sadness, emptiness, loss of interest and energy for the patient. Feeling, Thinking and behaving are all influenced by the effects of depression causing a variety of emotional and physical problems in considerable numbers of people all around the world. Herein, brain chemistry plays an important role in determination and also treatment of depression for individuals. During the last decade, so many researchers have dedicated their efforts to detect the most effective potent natural products with antidepressant activities, which reveal the importance of herbal natural products to be considered as psychoactive drugs.
Published: 2018

32. A study on the association of diabetic dermopathy with nephropathy and retinopathy in patients with type 2 diabetes mellitus

Author: Mahmoud Mirhoseini, Nasrin Saleh, Ali Momeni, Fatemeh Deris, and Majid Asadi-Samani
Subjects: type 2 diabetes, dermopathy, retinopathy, nephropathy, Pathology, RB1-214, Internal medicine, RC31-1245, Other systems of medicine, RZ201-999
Abstract: Background: Diabetic dermopathy is one of the most prevalent skin complications in diabetes patients. Some studies have pointed to association of diabetic dermopathy with retinopathy and nephropathy in patients with type 2 diabetes as microangiopathy presentations, but no rigorous study has been conducted to confirm this association. Objectives: This study investigated association of diabetic dermopathy with nephropathy and retinopathy in patients with type 2 diabetes referring specialty clinic of Shahrekord. Patients and Methods: This descriptive, cross-sectional study was conducted on 102 type 2 diabetes patients with dermopathy referring clinic constantly or as outpatient. Dermatological and ophthalmological examinations and examination for nephropathy were done for all patients. Demographic data and results of examinations and patients history, and biochemical tests were gathered and recorded by researcher developed checklists. Results: Mean age of patients was 83.8 2.60 years, of whom 64 (63.7%) were female and 37.3% were male. Prevalence of retinopathy in patients was 4.31% and nephropathy 3.33%. In this study, significant associations of diabetic dermopathy with diabetic nephropathy (P = 0.001), with retinopathy (P < 0.001), age (P < 0.001), duration of diabetes (P = 0.001), and also with glycosylated hemoglobin (P < 0.01) was detected. No significant association between diabetic dermopathy and other studied variables was seen (P > 0.05). Conclusions: Results of this study confirm the association of diabetic dermopathy with retinopathy and nephropathy in patients with type 2 diabetes. Since dermopathy is usually developed before retinopathy and nephropathy, dermopathy could be used as a clinical finding in early diagnosis and prevention of retinopathy and nephropathy in diabetes patients.
Published: 2016
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33. Effect of green tea on inflammation and oxidative stress in cisplatin-induced experimental liver function

Author: Nilofar Amidi, Shirin Moradkhani, Mahsa Sedaghat, Nejat Khiripour, Amir Larki-Harchegani, Nahid Zadkhosh, Mahmoud Mirhoseini, and Akram Ranjbar
Subjects: Cisplatin, Green tea, Inflammation, Liver function, Oxidative toxic stress, Medicine (General), R5-920, Therapeutics. Pharmacology, RM1-950
Abstract: Introduction: Cisplatin is one of the most potent chemotherapeutic antitumor drugs. Also, oxidative stress has been established to be involved in cisplatin-induced toxicity. Therefore, the present study was undertaken to examine the antioxidant and anti-inflammation potential of green tea hydroalcoholic extract (GTE) against the liver function of cisplatin in male rats. Methods: Adult male Wistar rats (180–250 g) were divided into 4 groups (n = 5) treated as follows: (1) control group (saline solution, 1 ml kg−1 body weight, i.p.), cisplatin group (7 mg kg−1 body weight, i.p.). Animals of Groups III received only green tea extract (30 mg/kg/day, by gavage). Group IV was given green tea extract+ cisplatin once daily for 24 hours. Liver function was evidenced in the cisplatin group by the increased serum levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST). The mechanism of cisplatin induced liver function was considered as being decreased the total antioxidant power (TAP). Systemic inflammation was assessed by tumor necrosis factor-alpha (TNF-α) levels. Results: A decrease in TAP level in cisplatin group was observed compared with control group. GTE administration decreased TNF-α and increased TAP compared to cisplatin group, but showed no significant differences between groups. Conclusion: The results suggested that green tea could ameliorate cisplatin liver function in rats through reduction of oxidative toxic stress and inflammation.
Published: 2016

34. Hepatoprotective effect of the root extract of green tea against malathion-induced oxidative stress in rats

Author: Negar Mehri, Hamed Felehgari, Amir Larki Harchegani, Hamid Behrooj, Nejat Kheiripour, Hassan Ghasemi, Mahmoud Mirhoseini, and Akram Ranjbar
Subjects: Green tea, Malathion, ALT, AST, Oxidative toxic stress, Rat, Medicine (General), R5-920, Therapeutics. Pharmacology, RM1-950
Abstract: Introduction: Organophosphorus (OPs) pesticides such as malathion intoxication has been shown to generate oxidative stress due to the production of free radicals and alteration of the antioxidant defense system. The aim of this study was to evaluate the effects of extracts from green tea (GT) hydroalcoholic extract on liver function. Methods: Male Wistar rats were separated into 4 groups of 8 rats each. Group I (control), group II was given GT (10 mg/kg/day). Animals of groups III received only malathion, group IV was given GT+ malathion. Animals received malathion 150 mg/kg by gavage and GT 30 mg/kg for 1 week through intraperitoneal injection. Twenty-four hours after treatment, blood samples were collected. Alanine aminotransferase (ALT), aspartate aminotransferase (AST) concentrations as well as biomarkers of oxidative stress such as lipid peroxidation (LPO), total antioxidant capacity (TAC) and total thiol groups (TTG) were measured. Results: A decrease in ALT and AST levels in GT group were observed compared with the ones in control group. Also, the results showed that malathion could increase liver toxicity in rats through reduction of ALT and AST. Conclusion: Amelioration of malathion toxicity through reduction of inflammation may suggest a prolonged therapeutic option against pesticides-induced hepatotoxicity.
Published: 2016

35. Impacts of Hibiscus esculentus extract on glucose and lipid profile of diabetic rats

Author: Fatemeh Akbari, Najmeh Shahinfard, Mahmoud Mirhoseini, Hedayatollah Shirzad, Esfandiar Heidarian, Shabnam Hajian, and Mahmoud Rafieian-Kopaei
Subjects: Diabetes mellitus, Hibiscus esculentus, Lipid profile, Hyperglycemia, Therapeutics. Pharmacology, RM1-950, Diseases of the genitourinary system. Urology, RC870-923
Abstract: Introduction: Hibiscus esculentus is capable to produce various molecules including phenolic and flavonoid compounds, phytosteroids with antioxidant property. Therefore, it has the potential to show antidiabetic activities. Objectives: This study was aimed to evaluate the impacts of Hibiscus esculentus extract on glucose and lipid profile of diabetic rats. The flavonoid, flavonol and phenolic components, as well as antioxidant activity of Hibiscus esculentus was also evaluated. Materials and Methods: In a preclinical study, 40 male Wistar rats were designated into four 10-member groups, i.e., control, diabetic control, diabetic Hibiscus esculentus, and diabetic glibenclamide. The Alloxan-induced diabetic rats received extracts orally for four weeks. Then, the serum biochemical factors were measured and compared by analysis of variance (ANOVA). Results: Serum glucose, triglyceride (TG), cholesterol, and low density lipoprotein cholesterol (LDL-C) were significantly decreased and high density lipoprotein cholesterol (HDL-C) increased in diabetic Hibiscus esculentus rats compared to diabetic control ones (P < 0.05). Conclusion: Improving the blood glucose and lipid profile in diabetic rats indicates that Hibiscus esculentus extract might be beneficial in diabetic patients.
Published: 2016

36. A comparative study on hypoglycemic properties, lipid profile and bioactive components of hydro-alcoholic extracts of cooked and raw Brassica napus

Author: Fatemeh Akbari, Samaneh Khodadadi, Sedigheh Asgari, Hedaytolah Shirzad, Mahmoud Mirhoseini, Najmeh Shahinfard, and Mahmoud Rafieian-Kopaei
Subjects: Diabetes mellitus, Brassica napus, Insulin, Therapeutics. Pharmacology, RM1-950, Diseases of the genitourinary system. Urology, RC870-923
Abstract: Introduction: Many plants with anti-oxidant properties proved to be effective on diabetes treatment. Brassica napus (turnip) is an anti-oxidant plant consumed raw or cooked. In this study, we examined and compared hypoglycemic and hypolipidemic properties of raw and cooked Brassica napus in diabetic rats. Objectives: Due to measuring bioactive component of Brassica napus as a rich source of flavonoid we investigate the hypoglycemic properties in raw and cooked type. Material and Methods: For this experimental study, 50 male Wistar rats weighing 200-250 g were designated into five groups of 10 consist of control, diabetic control, diabetic cooked turnip, diabetic raw turnip, and diabetic glibenclamide. The alloxan-induced diabetic rats received extracts orally for 4 weeks. Then, the serum biochemical factors were measured and compared statisticaly by analysis of variance (ANOVA) test. Results: Serum glucose, triglyceride (TG), cholesterol, and low density lipoprotein cholesterol (LDL-C) were significantly decreased in cooked and raw turnip rats compared to control ones. Cooked and raw Brassica napus extracts both helped high density lipoprotein cholesterol (HDL-C) increase; cooked turnip competency was superior in view of cholesterol and LDL-C decrease as well as HDL-C increase (P < 0.05). The mean difference in glucose and TG decrease was not significant between diabetic cooked turnip and diabetic raw turnip rats. Conclusion: Improving the blood glucose and lipid levels diabetic rats, in this study, may indicate that both raw and cooked Brassica napus extracts (especially the cooked one) may be beneficial in diabetic patients.
Published: 2016

37. Review on feverfew, a valuable medicinal plant

Author: Farzaneh Pourianezhad, Sara Tahmasebi, Vahid Abdusi, Somayeh Nikfar, and Mahmoud Mirhoseini
Subjects: Medicinal plant, Feverfew, Parthenolide, Medicine (General), R5-920, Therapeutics. Pharmacology, RM1-950
Abstract: Background and Aims: Feverfew (Tanacetum parthenium) is a valuable medicinal plant from Asteraceae family with various pharmacological and therapeutic properties. In this article we reviewed the various aspects of feverfew including botanical characteristics, cultivation and production and medicinal and clinical uses.Material and Methods: Google Scholar, PubMed, EBSCO, Directory of open access journals (DOAJ), EMBASE, and Web of Science were searched using the keywords feverfew and parthenolide. Results: The essential oil of feverfew is frequently used in pharmaceutical and cosmetic industries. Parthenolide is the most important active component of feverfew that is used for the treatment of a wide variety of diseases such as fever, migraine headache, and rheumatoid arthritis.Conclusion: Feverfew has several positive clinical uses and has the potential to be considered as a new drug for the treatment of some diseases.
Published: 2016

38. Collection and assessment of traditional medicinal plants used by the indigenous people of Dastena in Iran

Author: Habib-allah Mohammadi, Seyed-Ebrahim Sajjadi, Mostafa Noroozi, and Mahmoud Mirhoseini
Subjects: Herbs, Traditional uses, Ethnobotany, Iran, Medicine (General), R5-920, Therapeutics. Pharmacology, RM1-950
Abstract: Introduction: Nowadays, traditional and herbal medicines have attracted the attention of researchers all around the world and despite the development of synthetic drugs, demand for plant-based medicines is growing. The main reason for this growing trend is increasing public concerns about the adverse effects of synthetic medicines. Traditional medicine and ethnobotany are two important issues that should be noted to achieve effective herbal medicines with considerable therapeutic effects. Traditional medicine is based on experience of people over centuries and ethno-botany is based on recognition of the native plants. Iran has very high plant diversity because of its different climate, ecosystems and soil conditions. Regarding increasing demand for medicinal plants, this study aimed to collect some native plant varieties growing in Dastena and to review some of local and folk application of these plants.Methods: In the present study, the plant species were collected during two consecutive years (2013-2014) and systematically identified. The traditional and local uses of collected plants were questioned through interviews with local people.Results: In this study, 90 plant species belonging to 30 families were collected and identified. They had various therapeutic effects. Lamiaceae and Asteraceae families had the highest use among the collected plants.Conclusion: Results of this study showed that herbal medicines in this area are mostly used to treat digestive and respiratory system disorders. They have economical values and should be studied and explored more detailed.
Published: 2016

39. In Silico Pharmacy: From Computations to Clinics

Author: Mehdi Soleimani and Mahmoud Mirzaei
Subjects: In Silico, Drug Design, CADD, Therapeutics. Pharmacology, RM1-950, Pharmacy and materia medica, RS1-441
Abstract: When calling computers, we quickly remember a complex of hardware and software to do some types of zero-one calculations through processing in the silicon hearts. In addition to several public operations, the computers could very much help the scientists and engineers to extend the borders of science and technology. From earth to space, several applications are carried out by the computers and related computational tools for various purposes. In the case of complicated biological systems, computers are also very much helpful, in which so many scientists have dedicated considerable efforts to simulate these systems to obtain more knowledge and information about the mystery of human life. There are also significant advantages of computations for the medical and medicinal applications. By developments of computational chemistry theories and softwares in recent years, computer-aided drug design (CADD) has become a favorite technique for chemists and biochemists to design new chemical structures with higher potency of pharmaceutical applications. Besides very well known in vitro and in vivo environments, in silico is now a very much helpful environment for those scientists working with computer based research and development purposes of pharmaceutical laboratories and industries. The main advantage of in silico pharmacy is the capability of considering and examining so many chemical structures to find the lead compounds with possible pharmaceutical applications. Furthermore, lead optimizations could be very well done with various aspects of ligand based approaches to evaluate pharmacokinetic parameters. In the following, pharmacodynamic parameters of designed ligands could be evaluated by structure based approaches to find new receptors or to examine the targeted receptors for more interacting efficacy. Herein, among millions of raw chemical structures, lead compounds could be screened, evaluated and proposed for the pharmaceutical applications by in silico pharmacy approach. The dominant atomic and molecular scales investigations could be performed on ligand – receptor interactions to introduce new drugs for medicine. Avoiding too much use of chemicals and animals in the laboratories for in vitro and in vivo experiments and trials, in silico pharmacy could do all the jobs in the clean silicon heart of high performance computers to convey the new drug from computations to clinics.
Published: 2018

40. Anethum graveolens and hyperlipidemia: A randomized clinical trial

Author: Mahmoud Mirhosseini, Azar Baradaran, and Mahmoud Rafieian-Kopaei
Subjects: Anethum graveolens, gemfibrozil, high density lipoprotein-cholesterol, total cholesterol, triglyceride, Medicine
Abstract: Background: It has been established that hyperlipidemia increases the incidence and mortality associated with coronary heart disease. In this study, the effects of Dill (Anethum graveolens) were evaluated on lipid profile of hypercholesterolemic patients. Materials and Methods: In this clinical study, 91 hyperlipidemic patients were randomly designated into two groups. One group received gemfibrozil (900 mg daily) and the other group received Dill tablet (six tablets daily) for 2 months. The blood lipids including total cholesterol, triglyceride and high density lipoprotein (HDL)-cholesterol from each group were assessed at the beginning and end of the trial. Results: Use of gemfibrozil brought about increased HDL-cholesterol by 3.91% (P < 0.05) and reduced triglyceride and total cholesterol by 32.7% (P < 0.05) and 9.41% (P < 0.05), respectively. Applying Dill tablet for 2 months resulted in reduction of total cholesterol up to 18% (P < 0.05) and triglyceride by 7.38% (P < 0.05). However, circulating HDL-cholesterol was not affected by this treatment. In this study, gemfibrozil decreased triglyceride and increased HDL-cholesterol more than anethum (P < 0.05). Anethum decreased total cholesterol more than gemfibrozil (P < 0.05). Patients treated with anethum did not report any side effects. Conclusion: The results of this trial indicate that Dill might be beneficial for hypercholesterolemic and hypertriglycemic patients.
Published: 2014

41. An Enhanced HL-RF Method for the Computation of Structural Failure Probability Based On Relaxed Approach

Author: Behrooz Keshtegar and Mahmoud Miri
Subjects: failure probability, first-order reliability method, hl-rf method, relaxed method, reliability index, Engineering (General). Civil engineering (General), TA1-2040
Abstract: The computation of structural failure probability is vital importance in the reliability analysis and may be carried out on the basis of the first-order reliability method using various mathematical iterative approaches such as Hasofer-Lind and Rackwitz-Fiessler (HL-RF). This method may not converge in complicated problems and nonlinear limit state functions, which usually shows itself in the form of periodic, bifurcation and chaos solution. In this paper, the HL-RF method has been improved based on the relaxed method to overcome these numerical instabilities. An appropriate relaxed coefficient has been defined, ranging between 0 and 1, to enhance the HL-RF method. This coefficient can be computed using the information from the new and previous iterations of the HL-RF algorithm based on second-order fitting. Capability, robustness and efficiency of the proposed algorithm have been studied by results of several examples compared to the HL-RF. Results illustrated that the proposed method is more efficient and robust in the computation of the failure probability compared to the HL-RF method.
Published: 2013
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42. Association between Spontaneous abortion and Presence of anti thyroid antibodies in mother’s serum

Author: Mahmoud Mirhosseini, Azar Mirzaee, Reza Maghsoudi, Lobat Jaafarzadeh, and Bahman Sadeghi
Subjects: Abortion, Ant thyroid antibodies, AntiTPO-Ab, AntiTG-Ab, Medicine, Medicine (General), R5-920
Abstract: Background and Aim: Spontaneous abortion is the most common pregnancy complication with no reasonable causes in most cases. Some research imply the role of antithyroid antibodies ( e.g.AntiTPO-Ab and AntiTG-Ab) that can cause spontaneous abortion. In the present study, the association between abortion and presence of antthyroid antibodies in mother’s serum was assessed. Materials and Methods: In this case control study, 102 women aged 15-45 years, who referred to Hajar hospital of Shahrekord or the clinic affiliated to Shahrekord University of Medical Sciences were selected. Out of 102 women, 51 who had had abortion selected as the cases and 51 pregnant women with gestational age less than 20 weeks were include as the controls. .In order to assess antithyroid antibodies level, blood samples were taken from every participant with normal TSH level.. Anti-thyroid peroxidase antibody (Anti-TPO-Ab)>50 IU/ml and anti-thyroglobulin antibody (Anti-TG-Abs)>75 IU/ml were defined as Positive. The obtained results were analyzed by means of t-test and χ2 ,using statistical SPSS software. Results: Out of 51 subjects, 18 had positive Anti-TPO-Ab, of which -10 were among the cases and 8 belonged to the controls. Out of 18 women with positive AntiTG-Ab, 11 cases were in the control group and 7 were in the cases. The differences between the control group and the amounts of Anti-TPO-Abs (P=0.468) and Anti-TG-Abs (P=0.675) were not swignificant. Conclusion: The results revealed that there is no association between abortion and presence of antithyroid antibodies in mother’s serum. Other abortion causes such as various kinds of infections and smoking might be involved which requires more research.
Published: 2012

43. Effect of Elasticity Parameter on Viscoelastic Fluid in Pipe Flow Using Extended Pom-Pom Model

Author: Mohammad Reza Khorsand Movagar, Fariborz Rashidi, Fatemeh Goharpey, Mahmoud Mirzazadeh, and Ehsan Amani
Subjects: viscoelastic flow, extended pom-pom, finite volume method, pipe flow, Chemical engineering, TP155-156, Chemistry, QD1-999
Abstract: In this study prediction of the steady-state flow of branched polymer melts in pipe geometry with finite volume method is presented. Our analysis in this study revealed that;for normal-stress tqq , the XPP model can predict this tensor unlike the other viscoelastic models such as PTT or Gieskus which can not predict tqq for viscoelastic fluid in two dimensional pipe flows. The fluid is modelled using a modification of the Pom-Pom model known as the single eXtended Pom-Pom (XPP) where viscoelastic fluid is typically a commercial low-density polyethylene.In finite volume method, the operator-integration is used to discretize the governing equations in space or control volume. An iterative solution algorithm that decouples the computation of momentum from that of stress is used to solve the discrete equations. Numerical results are presented, including the profiles of all relevant stresses, the axial velocity, stretch and the viscosity across the gap, demonstrating the performance of the model predictions. The influence of elasticity parameter on flow behaviour is studied, which demonstrates in particular, the dependence of velocity and stresses distribution as a function of Weissenberg number is analyzed. Also, the effect of Weissenberg number on pressure gradient has been considered. Finally, verification of the present model was made by comparing to the Generalized Newtonian Fluid (GNF) model.
Published: 2010

44. A Review on Promising Natural Agents Effective on Hyperlipidemia

Author: Mahmoud Bahmani PhD, Mahmoud Mirhoseini, Hedayatollah Shirzad PhD, Mehrnoosh Sedighi PhD, Nejmeh Shahinfard MSc, and Mahmoud Rafieian-Kopaei PhD
Subjects: Other systems of medicine, RZ201-999, Homeopathy, RX1-681
Abstract: Hyperlipidemia is a prevalent disease and a major component of the metabolic syndrome resulting from various factors. This disease increases morbidity and mortality when combined with other prevalent diseases such as diabetes mellitus, hypertension, and cardiovascular diseases. The side effects of the current lipid-lowering drugs have increased the tendency to move toward traditional and alternative treatments. Epidemiological observations indicate that using alternative treatments, consumption of medicinal plants, diet, and consumption of fruits have had satisfactory results on the effects of hyperlipidemia in many societies. It should be noted that in majority of societies, even developed countries, the tendency toward eating lipid-lowering medicinal plants has increased extensively. Using these plants especially when common remedies cannot control the disease is significant. Although consumption of medicinal plants by hyperlipidemic patients may show improvement in disease state, drug interaction and side effects may cause complications in disease control. Therefore, in this review, apart from introducing some of the reliable plants effective in inhibition and decrease of hyperlipidemia, the possibility of their intoxication and drug interaction is also presented.
Published: 2015
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45. Assessing Reliability and Validity of Farsi Version of the Toronto Alexithymia Scale-20 in a Sample of Opioid Substance Use Disordered Patients

Author: Reza Pourhosein, Reza Rostami, Mohammad Ali Besharat, and Mahmoud Mirzamani
Subjects: Affective symptoms, Emotions, Iran, Measures, Reliability, Reproducibility of results, Substance–related disorders, Psychiatry, RC435-571
Abstract: "nObjective: The aim of this study was to investigate the reliability and validityof the Farsi version of the Toronto Alexithymia Scale-20 in a sample of opioidsubstance use disordered patients."n"nMethods: 321 substance dependent patients (287 male, 34 female)participated in this study. All of the participants were asked to complete theFarsi version of the Toronto Alexithymia Scale-20 (FTAS-20), the EmotionalIntelligence Scale (EIS-41), and The Mental Health Inventory (MHI). In orderto examine the internal consistency of the FTAS-20, Cronbach's alphacoefficients were calculated for the entire sample. Pearson's correlationcoefficient was used to estimate the test-retest reliability of the alexithymiadimensions. To examine the concurrent validity of the FTAS-20, a series ofzero-order correlations were conducted between the FTAS-20 subscales,emotional intelligence and mental health variables. Confirmatory FactorAnalysis (CFA) was utilized to test the three-factor structure of the FTAS-20. "n"nResults: The internal consistency, test-retest reliability, concurrent validity,and the three-factor structure of the Farsi version of the TAS-20 forsubstance users were supported by findings. "nConclusions: The factors found in the Farsi version of the TAS-20, aresimilar to the three factors found in a study conducted by Bagby, Parker andTaylor; the factors were accordingly labeled as Difficulty Identifying Feelings(DIF), Difficulty Describing Feelings (DDF) and Externally-Oriented Thinking(EOT). The results provide evidence for applicability of the TAS-20 and itscross-cultural validity.
Published: 2006

46. Assessment of the Scientific Validity, Reliability and Normalization of APS, AAS and MAC-R Tests for Spotting Vulnerable Individuals Exposed to Drug Abuse Among the Male High School Students in the City of Tehran

Author: Mahmoud Minooee
Subjects: Separation Centers, ‌ Incompetent‌ Parents, Addiction, Student., Therapeutics. Pharmacology, RM1-950, Psychology, BF1-990
Abstract: Bearing in mind the growing trend of drug abuse in societies, the application of appropriate tools for identifying drug abusers and those who are exposed to the high risk of drug abuse is one of the basic requirements of the current Iranian society. At the moment, the only way for identifying drug addicts is the use of morphine- detecting kits that examine the person’s urine and is based on a medical model. It only indicates the existence of morphine in urine and cannot be relied upon as a certain method for detecting the person’s addiction. Within this framework, it seems necessary to use psychological tests for identifying individuals that are exposed to the risk of drug abuse. Based on this necessity and with the aim of normalization and preparation of three sub-scales of addiction acknowledgement scale (AAS), addiction potential (APS) and Mac Andrew Alcoholism Scale Revised (MAC.R) from the Minnesota Multi-Phasic Personality Inventory a questionnaire is prepared comprising 90 questions. The plan was conducted among 1000 male high school students of Tehran using the random sample-taking from 4 districts (7,5,3,18) as well as 200 volunteers who seek to give up addiction. The following questions were raised: 1. Does the addiction test for identifying students exposed to addiction risk enjoy reliability? 2. Does the AAS scale aimed at identifying students that suffer from drug abuse enjoy reliability? and indirect observations. The statistical grouping of the research includes the admitted students and eventually 483 female and 53 male students in seven provinces constituted the statistical samples of the study. It was concluded that the separation plan is facing numerous problems at the current juncture. The relevant procedures and the manner of inter-organizational cooperation are not sufficient and the admission process has to undergo changes. Welfare facilities at the centers are not sufficient and keeping the students at the dorms for a long time will bring about many problems for them. Hence, the existence of a strong observation system as well as social workers are among the requisites for keeping up the implementation of the plan. Moreover, attention must be paid to other substitute methods so that the student would be able to study in his normal living environment and in this way reduce possible risks.
Published: 2003

47. Investigating of the Psychological Health of Women Heads of Household

Author: Mahshid Nouri, Mahmoud Minakari, Seyyed Jalal Sadrosadat, Shahriar Shahidi, and Mahmoud Heidari
Subjects: Psychological health, Women heads of household, Tehran provinc welfare organization, Therapeutics. Pharmacology, RM1-950
Abstract: Objective: The present research investigates the state of psychological health in women who are heads of household and are under welfare protection by the Welfare Organization in Tehran province. The basic research question was whether or not the level of psychological health and its nine indicators according to SCL-90-R are different in women heads of house hold that are under welfare protection compared to women heads of house hold that are not under welfare protection. Materials & Methods: Subjects were over 180 women who were chosen randomly from four different areas in Greater Tehran. The instruments used in this study were SCL-90-R and a demographic questionnaire. A case-control cross sectional method was employed in the present study. Data were analyzed using single-case t-test, independent t-test, and multi-variant regression and Friedman test. Results: Results show that the mean score for psychological health and its nine indicators in the experimental group were significantly higher than the mean score for normal Iranian population (p=0.0009). This indicates that women who are heads of households in Iran are at a higher risk for psychological disorders. The strongest indicators of psychological disorder in these women were depression and psychosomatic complaints. Furthermore, women who are not under welfare protection are significantly more depressed than women who are under welfare protection (p=0.016). Conclusion: Factors which reliably predict women's psychological health are women's income, the income of family members and their own physical health. These results support previous in the field reiterating the fact special attention should be paid to the economical welfare and standards of living in these women.
Published: 2003

48. Pooled analysis of who surgical safety checklist use and mortality after emergency laparotomy

Author: Thomas, Hannah S., Weiser, Thomas G., Drake, Thomas M., Knight, Stephen R., Fairfield, Cameron, Ademuyiwa, Adesoji O., Aguilera, Maria Lorena, Alexander, Philip, Al-Saqqa, Sara W., Borda-Luque, Giuliano, Costas-Chavarri, Ainhoa, Ntirenganya, Faustin, Fitzgerald, J. Edward, Fergusson, Stuart J., Glasbey, James, Ingabire, J. C. Allen, Ismail, Lawani, Salem, Hosni Khairy, Kojo, Anyomih Theophilus Teddy, Lapitan, Marie Carmela, Lilford, Richard, Mihaljevic, Andre L., Morton, Dion, Mutabazi, Alphonse Zeta, Nepogodiev, Dmitri, Adisa, Adewale O., Ots, Riinu, Pata, Francesco, Pinkney, Thomas, Poskus, Tomas, Qureshi, Ahmad Uzair, Ramos-De la Medina, Antonio, Rayne, Sarah, Shaw, Catherine A., Shu, Sebastian, Spence, Richard, Smart, Neil, Tabiri, Stephen, Bhangu, Aneel, Harrison, Ewen M., Verjee, Azmina, Runigamugabo, Emmy, Altamini, Afnan, Cornick, Jen, Jaffry, Zahra, Khatri, Chetan, Kirby, Andrew, Mohan, Midhun, Recinos, Gustavo, Soreide, Kjetil, Bhang, Aneel, Gobin, Neel, Freitas, Ana Vega, Hall, Nigel, Kim, Sung-Hee, Negida, Ahmed, Khairy, Hosni, Chapman, Stephen J., Arnaud, Alexis P., Manipal, Cutting Edge, Amandito, Radhian, Shawki, Marwan, Hanrahan, Michael, Zilinskas, Justas, Roslani, April Camilla, Goh, Cheng Chun, Irwin, Gareth, Luque, Laura, Shiwani, Hunain, Altamimi, Afnan, Alsaggaf, Mohammed Ubaid, Jeyakumar, Jenifa, Cengiz, Yucel, Raptis, Dmitri A., Glasbey, James C., Modolo, Maria Marta, Iyer, Dushyant, King, Sebastian, Arthur, Tom, Nahar, Sayeda Nazmum, Waterman, Ade, Walsh, Michael, Agarwal, Arnav, Zani, Augusto, Firdouse, Mohammed, Rouse, Tyler, Liu, Qinyang, Camilo Correa, Juan, Talving, Peep, Worku, Mengistu, Arnaud, Alexis, Kalles, Vassilis, Kumar, Basant, Kumar, Sunil, Quek, Roy, Ansaloni, Luca, Altibi, Ahmed, Venskutonis, Donatas, Whitaker, John, Msosa, Vanessa, Tew, Yong Yong, Farrugia, Alexia, Borg, Elaine, Bentounsi, Zineb, Gala, Tanzeela, Al-Slaibi, Ibrahim, Tahboub, Haya, Alser, Osaid H., Romani, Diego, Shu, Sebestian, Major, Piotr, Mironescu, Aurel, Bratu, Matei, Kourdouli, Amar, Ndajiwo, Aliyu, Altwijri, Abdulaziz, Gudal, Ahmad, Jubran, Al Faifi, Seisay, Sam, Lieske, Bettina, Ortega, Irene, Senanayake, Kithsiri J., Abdulbagi, Omar, Raptis, Dmitri, Altinel, Yuksel, Kong, Chia, Teasdale, Ella, Stoddart, Michael, Kabariti, Rakan, Suresh, Sukrit, Gash, Katherine, Narayanan, Ragavan, Maimbo, Mayaba, Fermani, Claudio, Balmaceda, Ruben, Macdermid, Ewan, Chenn, Roxanne, Yong, Cheryl Ou, Edye, Michael, Jarmin, Martin, D'amours, Scott K., Youssef, Daniel, Phillips, Nicholas, Brown, Jason, George, Robert, Koh, Cherry, Warren, Oliver, Hanley, Isaac, Dickfos, Marilla, Nawara, Clemens, Ofner, Dietmar, Primavesi, Florian, Mitul, Ashrarur Rahman, Mahmud, Khalid, Hussain, Margub, Hakim, Hafiz, Kumar, Tapan, Oosterkamp, Antje, Assouto, Pamphile A., Lawani, Ismail, Souaibou, Yacoubou Imorou, Tun, Aung Kyaw, Chong, Chean Leung, Devadasar, Giridhar H., Qadir, Muhammad Rashid Minhas, Aung, Kyaw Phyo, Yeo, Lee Shi, Palomino Castillo, Vanessa Dina, Munhoz, Monique Moron, Moreira, Gisele, Barros De Castro Segundo, Luiz Carlos, Khouri Ferreira, Salim Anderson, Careta, Maira Cassa, Kim, Stella Binna, De Sousa, Alexandre Venancio, Lazzarini Cury, Alyne Daltri, Soares Miguel, Gustavo Peixoto, Carreiro De Freitas, Ana Vega, Silvestre, Barbara Pereira, Vianna, Julia Guasti Pinto, Felipe, Carolina Oliveira, Valente Laufer, Luis Alberto, Altoe, Fernanda, Da Silva, Luana Ayres, Pimenta, Marina Luiza, Giuriato, Thiago Fernandes, Bezerra Morais, Paulo Alves, Luiz, Jessica Souza, Araujo, Rafael, Menegussi, Juliana, Leal, Marisa, Barroso de Lima, Caio Vinicius, Tatagiba, Luiza Sarmento, Leal, Antonio, dos Santos, Diogo Vinicius, Fraga, Gustavo Pereira, Simoes, Romeo Lages, Stock, Simon, Nigo, Samuel, Kabba, Juana, Ngwa, Tagang Ebogo, Brown, James, Azzie, Georges, Kushwaha, Sameer, Bailey, Karen, Cameron, Brian, Livingston, Michael, Horobjowsky, Alexandre, Deckelbaum, Dan L., Razek, Tarek, Marinkovic, Boris, Grasset, Eugenio, D'aguzan, Nicole, Jimenez, Julio, Macchiavello, Roberto, Zhang, Zhongtao, Guo, Wei, Oh, Junyeong, Zheng, Fei, Montes, Irene, Sierra, Sebastian, Mendez, Manuela, Isabel Villegas, Maria, Mendoza Arango, Maria Clara, Mendoza, Ivan, Naranjo Aristizaibal, Fred Alexander, Montoya Botero, Jaime Andres, Quintero Riaza, Victor Manuel, Restrepo, Jakeline, Morales, Carlos, Cruz, Herman, Munera, Alejandro, Karlo, Robert, Domini, Edgar, Mihanovic, Jakov, Radic, Mihael, Zamarin, Kresimir, Pezelj, Nikica, Hache-Marliere, Manuel, Lemaire, Sylvia Batista, Rivas, Ruben, Khyrallh, Ahmed, Hassan, Ahamed, Shimy, Gamal, Fahmy, Mohamed A. Baky, Nabawi, Ayman, Elfil, Mohamed, Ghoneem, Mohamed, Gohar, Muhammad El-Saied Ahmad Muhammad, Asal, Mohamed, Abdelkader, Mostafa, Gomah, Mahmoud, Rashwan, Hayssam, Karkeet, Mohamed, Gomaa, Ahmed, Hasan, Amr, Elgebaly, Ahmed, Saleh, Omar, Fattah, Ahmad Abdel, Gouda, Abdullah, Elshafay, Abd Elrahman, Gharib, Abdalla, Menshawy, Ahmed, Hanafy, Mohammed, Al-Mallah, Abdullah, Abdulgawad, Mahmoud, Baheeg, Mohamad, Alhendy, Mohammed, AbdelFattah, Ibrahim, Kenibar, Abdalla, Osman, Omar, Gemeah, Mostafa, Mohammed, Ahmed, Adel, Abdalrahman, Mohammed, Abdelrahman, Sayed, Abdelrahman, Abozaid, Mohamed, Kotb, Ahmed Hafez El-Badri, Ata, Ali Amin Ahmed, Nasr, Mohammed, Alkammash, Abdelrahman, Saeed, Mohammed, Abd El Hamid, Nader, Attia, Attia Mohamed, Abd El Galeel, Ahmed, Elbanby, Eslam, El-Dien, Khalid Salah, Hantour, Usama, Alahmady, Omar, Mansour, Billal, Elkorashy, Amr Muhammad, Taha, Emad Mohamed Saeed, Lasheen, Kholod Tarek, Elkolaly, Salma Said, Abdel-Wahab, Nehal Yosri Elsayed, Abozyed, Mahmoud Ahmed Fathi, Adel, Ahmed, Saeed, Ahmed Moustafa, El Sayed, Gehad Samir, Youssif, Jehad Hassan, Ahmed, Soliman Magdy, El-Shahat, Nermeen Soubhy, Khedr, Abd El-Rahman Hegazy, Elsebaaye, Abdelrhman Osama, Elzayat, Mohamed, Abdelraheim, Mohamed, Elzayat, Ibrahim, Warda, Mahmoud, El Deen, Khaled Naser, Elnemr, Abdelrhman Essam, Salah, Omar, Abbas, Mohamed, Rashad, Mona, Elzayyat, Ibrahim, Hemeda, Dalia, Tawfik, Gehad, Salama, Mai, Khaled, Hazem, Seisa, Mohamed, Elshaer, Kareem, Hussein, Abdelfatah, Elkhadrawi, Mahmoud, Afifi, Ahmed Mohamed, Ebrahim, Osama Saadeldeen, Metwally, Mahmoud Mohamed, Elmelegy, Rowida, Elsawahly, Diaa Moustafa Elbendary, Safa, Hisham, Nofal, Eman, Elbermawy, Mohamed, Ghazy, Ahmed Abdelmotaleb, Samih, Hisham, Abdelgelil, Asmaa, Abdelghany, Sarah, El Kholy, Ahmed, Aboraya, Metwally, Elkady, Fatma, Salma, Mahmoud, Samy, Sarah, Fakher, Reem, Aboarab, Aya, Samir, Ahmed, Sakr, Ahmed, Haroun, Abdelrahman, Al-Aarag, Asmaa Abdel-Rahman, Elkholy, Ahmed, Elshanwany, Sally, Ghanem, Esraa, Tammam, Ahmed, Hammad, Ali Mohamed, El Shoura, Yousra, El Ashal, Gehad, Antar, Sarah, Mehrez, Sara, Abdelshafy, Mahmoud, Hamad, Maha Gamal Mohamad, Hosh, Mona, Abdallah, Emad, Magdy, Basma, Alzayat, Thuraya, Gamaly, Elsayed, Elfeki, Hossam, Abouzahra, Amany, Elsheikh, Shereen, Elgendy, Fatimah I., Abd El-Salam, Fathia, Seifelnasr, Osama, Ammar, Mohamed, Eysa, Athar, Sadek, Aliaa, Toeema, Aliaa Gamal, Nasr, Aly, Abuseif, Mohamed, Zidan, Hagar, Barakat, Sara Abd Elmageed, Elsayed, Nadin, Abd Elrasoul, Yasmin, Elkelany, Ahmed, Ammar, Mohamed Sabry, Mustafa, Mennat-Allah, Hegazy, Yasmin, Etman, Mohamed, Saad, Samar, Alrahawy, Mahmoud, Raslan, Ahmed, Morsi, Mahmoud, Rslan, Ahmed, Sabry, Ahmed, Elwakil, Hager, Shaker, Heba, Abd-Elrasoul, Yasmin, El-Kashef, Hussein, Shaalan, Mohamed, Tarek, Areej, Elwan, Ayman, Nayel, Ahmed Ragab, Seif, Mostafa, Emadeldin, Doaa, Ghonaim, Mohamed Ali, Almallah, Ahmad, Fouad, Ahmed, Sayma, Eman Adel, Elbatahgy, Ahmad, El-Ma'doul, Angham Solaiman, Mosad, Ahmed, Tolba, Hager, Elsorogy, Diaa Eldin Abdelazeem Amin, Mostafa, Hassan Ali, Omar, Amira Atef, Abd El Hameed, Ola Sherief, Lasheen, Ahmed, Abd El Salam, Yasser, Morsi, Ashraf, Ismail, Mohammed, El-badawy, Hager Ahmed, Amer, Mohamed A., El-Hamouly, Ahmed Sabry, Attallah, Noura A., Mosalum, Omnia, Afandy, Ahmed, Mokhtar, Ahmed, Abouelnasr, Alaa, Ayad, Sara, Shaker, Ramdan, Sakr, Rokia, Shaker, Ramadan, Amreia, Mahmoud, Elsobky, Soaad, Mustafa, Mohamed, El Magd, Ahmed Abo, Marey, Abeer, Hafez, Amr Tarek, Zalabia, Mohamed F., Mohamed, Mohamed Moamen, Fadel, Amr, Ahmed, Emad Ali, Ali, Ahmad, Alwafai, Mohammad Ghassan, Dwydar, Abdullah, Kharsa, Sara, Mamdouh, Ehab, El-Sheemy, Hatem, AlYoussef, Ibrahim, Aly, Abouelatta Khairy, Aldalaq, Ahmad, Alnawam, Ehab, Alkhabbaz, Dalia, Saad, Mahmoud, Hussein, Shady, Elazayem, Ahmed Abo, Meshref, Ahmed, Elashmawy, Marwa, Mousa, Mohammed, Nashaat, Ahmad, Ghanem, Sara, Elsayed, Zaynab M., Elwaey, Aya, Elkadsh, Iman, Darweesh, Mariam, Mohameden, Ahmed, Hafez, Mennaallah, Badr, Ahmed, Badwy, Assmaa, Abd El Slam, Mohamed, Elazoul, Mohamed, Al-Nahrawi, Safwat, Eldamaty, Lotfy, Nada, Fathee, Ameen, Mohamed, Hagar, Aya, Elsehimy, Mohamed, Aboraya, Mohammad, Dawoud, Hossam, El Mesery, Shorouk, El Gendy, Abeer, Abdelkareem, Ahmed, Marey, Ahmed Safwan, Allam, Mostafa, Shehata, Sherif, Abozeid, Khaled, Elshobary, Marwa, Fahiem, Ahmed, Sarsik, Sameh, Hashish, Amel, Zidan, Mohamed, Hashish, Mohamed, Aql, Shaimaa, Elhendawy, Abdelaziz Osman Abdelaziz, Husseini, Mohamed, Kasem, Esraa, Gheith, Ahmed, Elfouly, Yasmin, Soliman, Ahmed Ragab, Ibrahim, Yasmein, Elfouly, Nesma, Fawzy, Ahmed, Hassan, Ahmed, Rashid, Mohammad, Elsherbiny, Abdallah Salah, Sieda, Basem, Badwi, Nermin M., Mohammed, Mohammed Mustafa Hassan, Mohamed, Osama, Habeeb, Mohammad Abdulkhalek, Starr, Nichole, Desta, Semay, Wondimu, Sahlu, Abebe, Nebyou Seyoum, Thomas, Efeson, Asele, Frehun Ayele, Dabessa, Daniel, Abebe, Nebiyou Seyoum, Zerihun, Abebe Bekele, Mentula, Panu, Leppaniemi, Ari, Sallinen, Ville, Scalabre, Aurelien, Frade, Fernanda, Irtan, Sabine, Graffeille, Vivien, Gaignard, Elodie, Alimi, Quentin, Graffieille, Vivien, Abbo, Olivier, Mouttalib, Sofia, Bouali, Ourdia, Hervieux, Erik, Aigrain, Yves, Botto, Nathalie, Faure, Alice, Fievet, Lucile, Panait, Nicoleta, Eyssartier, Emilie, Schmitt, Francoise, Podevin, Guillaume, Parent, Valentine, Martin, Amandine, Arnaud, Alexis Pierre, Muller, Cecile, Bonnard, Arnaud, Peycelon, Matthieu, Abantanga, Francis, Boakye-Yiadom, Kwaku, Bukari, Mohammed, Owusu, Frank, Awuku-Asabre, Joseph, Bray, Lemuel Davies, Lytras, Dimitrios, Psarianos, Kyriakos, Bamicha, Anastasia, Kefalidi, Eirini, Gemenetzis, Georgios, Dervenis, Christos, Gouvas, Nikolaos, Agalianos, Christos, Kontos, Michail, Kouraklis, Gregory, Karousos, Dimitrios, Germanos, Stylianos, Marinos, Constantinos, Anthoulakis, Christos, Nikoloudis, Nikolaos, Mitroudis, Nikolaos, Estupinian, Sergio, Forno, Walter, Arevalo Azmitia, Jose Rene, Ramarez Cabrera, Carla Cecilia, Guevara, Romeo, Aguilera, Maria, Mendez, Napoleon, Azmitia Mendizabal, Cesar Augusto, Ramazzini, Pablo, Contreras Urquizu, Mario, Tale, Fernando, Soley, Rafael, Barrios, Emanuel, Marroquin Rodriguez, Daniel Estuardo, Perez Velasquez, Carlos Ivan, Contreras Merida, Sara Maria, Regalado, Francisco, Lopez, Mario, Siguantay, Miguel, Lam, Fong Yee, Szeto, Kylie Joan-Yi, Szeto, Charing Cheuk Ling, Li, Wing Sum, Li, Kieran Ka Kei, Leung, Man Fung, Mak, Tony, Ng, Simon, Prasad, S. S., Kirishnan, Anand, Gyanchandani, Nidhi, Kumar, Bylapudi Seshu, Rangarajan, Muthukumaran, Bhat, Sriram, Sreedharan, Anjana, Kinnera, S. V., Reddy, Yella, Venugopal, Caranj, Mittal, Abhishek, Nadkarni, Shravan, Lakshmi, Harish Neelamraju, Malik, Puneet, Limaye, Neel, Pai, Srinivas, Jain, Pratik, Khajanchi, Monty, Satoskar, Savni, Satoskar, Rajeev, Bin Mahamood, Abid, Sutanto, Eldaa Prisca Refianti, Soeselo, Daniel Ardian, Tedjaatmadja, Chintya, Rahmawati, Fitriana Nur, Mayasari, Maria, Al-Hasani, Ruqaya Kadhim Mohammed Jawad, Al-Hameedi, Hasan Ismael Ibraheem, Ibraheem, Hasan Ismael, Al-Azraqi, Israa Abdullah Aziz, Sabeeh, Lubna, Kamil, Rahma, Telfah, Muwaffaq Mezeil, Rasendran, Amoudtha, Sheehan, Jacqueline, Kerley, Robert, Normile, Caoimhe, Gilbert, Richard William, Song, Jiheon, Dablouk, Mohamed, Mauro, Linnea, Dablouk, Mohammed Osman, Kielty, Paul, Marks, Eleanor, Gosling, Simon, Mccarthy, Michelle, Rasndran, Amoudtha, Mirghani, Diya, Naqvi, Syed Altaf, Wong, Chee Siong, Chung, Siyi, D'cruz, Reuban, Cahill, Ronan, Gosling, Simon George, Fahy, Ciara, Cadogan, Diana Duarte, Powell, Anna, Gilbert, Richard, Clifford, Caroline, Driscoll, Aoife, Paul, Stassen, Lee, Chris, Bowe, Ross, Hutch, William, Mohan, Helen, O'neill, Maeve, Mealy, Kenneth, Danelli, Piergiorgio, Bondurri, Andrea, Maffioli, Anna, Pasini, Mario, Pata, Giacomo, Roncali, Stefano, Silvani, Paolo, Carlucci, Michele, Faccincani, Roberto, Bonavina, Luigi, Macchitella, Yuri, Ceriani, Chiara, Tugnoli, Gregorio, Di Saverio, Salomone, Khattab, Khaled, Paludi, Miguel Angel, Pata, Domenica, Cloro, Luigi Maria, Allegri, Andrea, Coccolini, Federico, Veronese, Ezio, Bortolasi, Luca, Hasheminia, Alireza, Nastri, Giacomo, Dal Canto, Massimiliano, Cucumazzo, Stefano, Benevento, Angelo, Tessera, Gaetano, Grandinetti, Pier Paolo, Maniscalco, Alessio, Lamanna, Giovanni Luca, Turati, Luca, Sgroi, Giovanni, Rausa, Emanuele, Villa, Roberta, Monteleone, Michela, Merlini, David, Grassi, Veronica, Cirocchi, Roberto, Cacurri, Alban, Waleed, Hamza, Diab, Ahmed, Elzowawi, Fathi, Jokubauskas, Mantas, Varkalys, Karolis, Pranevicius, Robertas, Ambrozeviciute, Viktorija, Juciute, Simona, Skardziukaite, Auste, Bradulskis, Saulius, Urbanavicius, Linas, Austraite, Aiste, Riauka, Romualdas, Dambrauskas, Zilvinas, Karumnas, Paulius, Urniezius, Zigmantas, Zilinskiene, Reda, Rudzenskaite, Anele, Usaityte, Ausrine, Montrimaite, Margarita, Kaselis, Nerijus, Strazdas, Andrius, Jokubonis, Kristijonas, Maceviciute, Kornelija, Beisa, Virgilijus, Strupas, Kestutis, Laugzemys, Erikas, Kolosov, Andrej, Jotautas, Valdemaras, Rakita, Ignas, Mikalauskas, Saulius, Kazanavicius, Darius, Rackauskas, Rokas, Rakauskas, Ritauras, Preckailaite, Egle, Coomber, Ross, Johnson, Kenneth, Nowers, Jennifer, Periasammy, Dineshwary, Salleh, Afizah, Das, Andre, Tze, Reuben Goh Ern, Kumar, Milaksh Nirumal, Abdullah, Nik Azim Nik, Kosai, Nik Ritza, Taher, Mustafa, Rajan, Reynu, Chong, Hoong Yin, Agius, Marija, Bezzina, Maureen, Bugeja, Roberta, Vella-Baldacchino, Martinique, Spina, Andrew, Psaila, Josephine, Francois-Coridon, Helene, Tolg, Cecilia, Colombani, Jean-Francois, Diaz-Zorrilla, Carmina, Ramos-De La Medina, Antonio, Corro-Diaz Gonzalez, Samantha, Jacobe, Mario, Mapasse, Domingos, Snyder, Elizabeth, Oumer, Ramadan, Osman, Mohammed, Mohammad, Aminu, Anyanwu, Lofty-John, Sheshe, Abdulrahman, Adesina, Alaba, Faturoti, Olubukola, Taiwo, Ogechukwu, Ibrahim, Muhammad Habib, Nasir, Abdulrasheed A., Suleiman, Siyaka Itopa, Adeniyi, Adewale, Adesanya, Opeoluwa, Adebanjo, Ademola, Osuoji, Roland, Atobatele, Kazeem, Ogunyemi, Ayokunle, Williams, Omolara, Oludara, Mobolaji, Oshodi, Olabode, Ademuyiwa, Adesoji, Lawal, AbdulRazzaq Oluwagbemiga, Alakaloko, Felix, Elebute, Olumide, Osinowo, Adedapo, Bode, Christopher, Adesuyi, Abidemi, Tade, Adesoji, Adekoya, Adeleke, Nwokoro, Collins, Ayandipo, Omobolaji O., Lawal, Taiwo Akeem, Ajao, Akinlabi E., Ali, Samuel Sani, Odeyemi, Babatunde, Olori, Samson, Popoola, Ademola, Adeyeye, Ademola, Adeniran, James, Lossius, William J., Havemann, Ingemar, Thorsen, Kenneth, Narvestad, Jon Kristian, Wold, Trude Beate, Nymo, Linn, Elsiddig, Mohammed, Dar, Manzoor, Bhopal, Kamran Faisal, Iftikhar, Zainab, Furqan, Muhammad Mohsin, Nighat, Bakhtiar, Jawaid, Masood, Khalique, Abdul, Zil-E-Ali, Ahsan, Rashid, Anam, Dharamshi, Hasnain Abbas, Naqvi, Tahira, Faraz, Ahmad, Anwar, Abdul Wahid, Yaseen, Tahir Muhammad, Shamsi, Ghina Shamim, Shamsi, Ghina, Yaseen, Tahir, Anwer, Wahid, Paredes Decoud, Horacio, Aguilera, Omar, Zelada Alvarez, Ismael Isaac, Marcelo Delgado, Juan, Machain Vega, Gustavo Miguel, Segovia Lohse, Helmut Alfredo, Messa Aguilar, Wendy Leslie, Cabala Chiong, Jose Antonio, Manchego Bautista, Ana Cecilia, Huaman, Eduardo, Zegarra, Sergio, Camacho, Rony, Vergara Celis, Jose Maria, Romani Pozo, Diego Alonso, Hamasaki, Jose, Temoche, Edilberto, Herrera-Matta, Jaime, Garcia Torres, Carla Pierina, Alvarez Barreda, Luis Miguel, Barrionuevo Ojeda, Ronald Renato, Garaycochea, Octavio, Castro Mollo, Melanie, Linares Delgado, Mitchelle Solange De Fa Tima, Fujii, Francisco, Aranzabal Durand, Susana Yrma, Arroyo Basto, Carlos Alejandro, Urbina Rojas, Nelson Manuel, Shu Yip, Sebastian Bernardo, Contreras Vergara, Ana Lucia, Rosas Moran, Andrea Echevarria, Borda Luque, Giuliano, Rodriguez Castro, Manuel, Alvarado Jaramillo, Ramon, Manrique Sila, George, Elizabeth Lopez, Crislee, Zapata Ponze De Leon, Mardelangel, Machaca, Massiell, Coasaca Huaraya, Ronald, Arenas, Andy, Lopez, Crislee, Herrera Puma, Clara Milagros, Pino, Wilfredo, Hinojosa, Christian, Zapata Ponze De Leon, Melanie, Limache, Susan, Manrrique Sila, George, Mercado Rodriguez, Layza-Alejandra, Melo, Renato, Costa-Maia, Jose, Muralha, Nuno, Sauvat, Frederique, Dan, Ionasc, Hogea, Mircea, Eduard, Pandi, Bratu, Razvan-Matei, Beuran, Mircea, Diaconescu, Ionut-Bogdan, Martian, Bogdan-Valeriu, Iordache, Florin-Mihail, Vartic, Mihaela, Vida, Lucian Corneliu, Muntean, Liviu Iuliu, Mironescu, Aurel Sandu, Nsengimana, Vizir Jean Paul, Niragire, Alice, Ingabire, Jean De La Croix Allen, Niyirera, Eugene, Zanini, Nicola, Jovine, Elio, Landolfo, Giovanni, Alomar, Ibrahim N., Alnuqaydan, Saleh A., Altwigry, Abdulrahman M., Othman, Moayad, Osman, Nohad, Alqahtani, Enas, Alzahrani, Mohammed, Alyami, Rifan, Aljohani, Emad, Alhabli, Ibrahim, Mikwar, Zaher, Almuallem, Sultan, Nawawi, Abrar, Bakhaidar, Mohamad, Maghrabi, Ashraf A., Alsaggaf, Mohammed, Aljiffry, Murad, Altaf, Abdulmalik, Khoja, Ahmad, Habeebullah, Alaa, Akeel, Nouf, Ghandora, Nashat, Almoflihi, Abdullah, Huwait, Abdulmalik, Al-shammari, Abeer, Al-Mousa, Mashael, Alghamdi, Masood, Adham, Walid, Albeladi, Bandar, Alfarsi, Muayad Ahmed, Mahdi, Atif, Al Awwad, Saad, Nouh, Thamer, Hassanain, Mazen, Aldhafeeri, Salman, Sadig, Nawal, Algohary, Osama, Aledrisy, Mohannad, Alrifaie, Ahmad, AlRowais, Mohammed, Althwainy, Amani, Shabkah, Alaa, Alamoudi, Uthman, Alrajraji, Mawaddah, Alghamdi, Basim, Aljohani, Saud, Daqeeq, Abdullah, Al-Faifi, Jubran J., Jennings, Vicky, Ngayu, Nyawira, Moore, Rachel, Kong, Victor, Kretzmann, Hayden, Connor, Katie, Nel, Daniel, Sampson, Colleen, Panieri, Eugenio, Sishuba, Nosisa, Tun, Myint, Mphatsoe, Albert Mohale, Carreira, Jo-Anne, Wagener, Mark, Botes, Stefan, Du Plessis, Danelo, Fernandez-Bueno, Fernando, Aguilar-Jimenez, Jose, Andres Garcia-Marin, Jose, Solar Garcia, Lorena, Garcia Florez, Luis Joaquin, Arias Pacheco, Ruben Dario, Pagnozzi, Janet, Jara Quezada, Jimy Harold, Luis Rodicio, Jose, Minguez, German, Rodriguez-Uria, Raquel, Ugalde, Paul, Lopez-Arevalo, Camilo, Barneo, Luis, Gonzales Stuva, Jessica Patricia, Ortega-Vazquez, Irene, Rodriguez, Lorena, Herrera, Norberto, Arachchi, Prasad Pitigala, Senanayake, Wanigasekara Senanayake Mudiyanselage Kithsiri Janakantha, Arachchige, Lalith Asanka Jayasooriya Jayasooriya, Sivaganesh, Sivasuriya, Samaraweera, Dulan Irusha, Thanusan, Vimalakanthan, Musa, Ahmed Elgaili Khalid, Balila, Reem Mohammed Hassan, Mohamed, Mohamed Awad Elkarim Hamad, Ali, Hussein, Elabdin, Hagir Zain, Hassan, Alaa, Mahdi, Sefeldin, Ahmed, Hala, Idris, Sahar Abdoun Ishag, Elsayed, Makki, Elsayed, Mohammed, Mahmoud, Mohamed, Boijsen, Magnus, Lundgren, Per-Olof, Gustafsson, Ulf, Kiasat, Ali, Wogensen, Fredrik, Jurdell, Emma, Thorell, Anders, Thorarinsdottir, Hildur, Utter, Maria, Sundstrom, Sami Martin, Wredberg, Cecilia, Kjellin, Ann, Nyberg, Johanna, Frisk, Bjorn, Sund, Malin, Andersson, Linda, Gunnarsson, Ulf, Ahlqvist, Sandra, Bjorklund, Ida, Royson, Hanna, Weber, Per, Pahlsson, Hans-Ivar, Borin, Eva, Hjertberg, Maria, Schmid, Roger, Schivo, Debora, Despotidis, Vasileios, Breitenstein, Stefan, Staerkle, Ralph F., Schadde, Erik, Deichsel, Fabian, Gerosa, Alexandra, Nocito, Antonio, Raptis, Dimitri Aristotle, Mijuskovic, Barbara, Zuber, Markus, Eisner, Lukas, Kruspi, Swantje, Reinisch, Katharina Beate, Schoewe, Christin, Novak, Allan, Palma, Adrian F., Teufelberger, Gerfried, Kimaro, Msafiri, King, Rachel, Balkan, Ali Zeynel Abidin, Gumar, Mehmet, Yavuz, Mehmet Ali, Karabacak, Ufuk, Lap, Gokhan, Ozkan, Bahar Busra, Karakahya, Murat, Adams, Ryan, Morton, Robert, Henderson, Liam, Gratton, Ruth, Clement, Keiran David, Chang, Kate Yu-Ching, Mcnish, David, Mcintosh, Ryan, Milligan, William, Skelly, Brendan, Anderson-Knight, Hannah, Lawther, Roger, Onimowo, Jemina, Shatkar, Veereanna, Tharmalingam, Shivanee, Woin, Evelina, Fautz, Tessa, Ziff, Oliver, Dindyal, Shiva, Arman, Sam, Talukder, Shagorika, Gadhvi, Vijay, Chew, Luen Shaun, Heath, Jonathan, Blencowe, Natalie, Hallam, Sally, Mannu, Gurdeep Singh, Zachariades, Dimitris-Christos, Snaith, Ailsa Claire, Hettiarachchi, Thusitha Sampath, Nesaratnam, Arjun, Wheeler, James, McCullagh, Darragh, Clements, Joshua Michael, Khan, Ata, Koumpa, Foteini, Neophytou, Christina, Roth, Jessica, Soon, Wai Cheong, Deputy, Mohammed, Ahmed, Ahmed, Ashton, Annelisse, Vincent, Joe, Almy, Jack, Khan, Taufiq, Allen, John Lee Y., Mcintyre, Charlotte Jane, Marshall, Dominic Charles, Sykes, Mark, Behar, Nebil, Jordan, Harriet, Rajjoub, Yaseen, Sherman, Thomas, White, Timothy, Watts, Anna, Ardley, Rohan, Arulampalam, Tan, Shah, Apar, Brown, Damien, Blower, Emma, Sutton, Paul, Gasteratos, Konstantinos, Vimalachandran, Dale, Magee, Cathy, Mcguigan, Andrew, Mcaleer, Stephen, Morgan, Clare, Braungart, Sarah, Lafferty, Kirsten, Labib, Peter, Tanase, Andrei, Mangan, Clodagh, Reza, Lillian, Woodward, Helen, Gouldthorpe, Craig, Turner, Megan, Wild, Jonathan R. L., Malik, Tom A. M., Proctor, Victoria K., Hewage, Kalon, Davies, James, Dubois, Andre, Sarwary, Sayed, Zardab, Ali, Grant, Alan, Mcintyre, Robert, Mogan, Yogendra Praveen, Ho, Weiguang, Chong, Bryon Frankie Hon Khi, Tewari, Shirish, Humm, Gemma, Farinella, Eriberto, Hall, Nigel J., Wright, Naomi J., Major, Christina P., Xerri, Thelma, De Bono, Phoebe, Amin, Jasim, Farhad, Mustafa, Camilleri-Brennan, John F., Robertson, Andrew G. N., Swann, Joanna, Richards, James, Jabbar, Aijaz, Attard, Myranda, Burns, Hannah, Macdonald, Euan, Baldacchino, Matthew, Skehan, Jennifer, Camilleri-Brennan, Julian, Hall, Tom Falconer, Gimzewska, Madelaine, Mclachlan, Greta, Shah, Jamie, Giles, James, Chiu, Selina, Weber, Beatrix, Chiu, Selina Man Yeng, Highcock, Saskia, Hassan, Maleeha, Beasley, William, Vlachogiorgos, Apostolos, Dias, Stephen, Maharaj, Geta, Mcdonald, Rosie, Macdonald, Alisdair, Witherspoon, Paul, Baird, Alan, Sarmah, Panchali, Green, Nikki, Youssef, Haney, Cross, Kate, Rees, Clare M., Van Duren, Bernard, Upchurch, Emma, Khan, Khurram, Abudeeb, Haytham, Hammad, Ahmed, Karandikar, Sharad, Bowley, Doug, Karim, Ahmed, Chachulski, Witold, Richardson, Liam, Dawnay, Giles, Thompson, Ben, Mistry, Ajayesh, Ghetia, Millika, Roy, Sudipta, Al-Obaedi, Ossama, Das, Kaustuv, Prabhudesai, Ash, Cocker, D. M., Tan, Jessica Juliana, Tyler, Robert, Di Franco, Filippo, Ayyar, Shruti, Vivekanantham, Sayinthen, Gokani, Shyam, Gillespie, Michael, Gudlaugsdottir, Katrin, Pezas, Theodore, Currow, Chelise, Kim, Matthew Young-Han, Birring, Amerdip, Edwards, Joanne, Ali, Ased, Das, Suparna, Jha, Madan, Atkinson, Kieran, Luck, Joshua, Fozard, Thomas, Puttick, Michael, Salama, Yahya, Shah, Rohi, Ibrahem, Ahmad Aboelkassem, Ebdewi, Hamdi, Gravante, Gianpiero, El-Rabaa, Saleem, Nnajiuba, Henry, Allott, Rebecca, Bhargava, Aman, Chan, Zoe, Hassan, Zaffar, Makinde, Misty, Hemingway, David, Dean, Ramzana, Boddy, Alexander, Aber, Ahmed, Patel, Vijay, Parakh, Jehangirshaw, Parthiban, Sunil, Ubhi, Harmony Kaur, Hosein, Simon-Peter, Ward, Simon, Malik, Kamran, Jennings, Leifa, Newton, Tom, Alkhouri, Mirna, Kang, Min Kyu, Houlden, Christopher, Barry, Jonathan, Raza, Imtanan, Farquharson, Alistair, Bhattacharya, Sanjeet, Chang, Kate, Wilson, Michael S. J., Neo, Yan Ning, Ibrahim, Ibrahim, Chan, Emily, Peck, Fraser S., Lim, Pei J., North, Alexander S., Blundell, Rebecca, Williamson, Adam, Fouad, Dina, Minocha, Ashish, Mccarthy, Kathryn, Court, Emma, Chambers, Alice, Yee, Jenna, Tham, Ji Chung, Beaton, Ceri, Walsh, Una, Lockey, Joseph, Bokhari, Salman, Howells, Lara, Griffiths, Megan, Yallop, Laura, Singh, Shailinder, Nasher, Omar, Jackson, Paul, Shariffuddin, Abdul Muiz, Ho, Weng Chee, Pabla, Gurpreet, Ramzi, Saed, Zeidan, Shady, Doughty, Jennifer, Sinha, Sidhartha, Davenport, Ross, Lewis, Jason, Duffy, Leo, Mcaleer, Elizabeth, Williams, Eleanor, Som, Robin, Javed, Omar, Boal, Matthew, Harrison, Nicola, Tafazal, Habib, Brogden, Tom, Griffiths, Ewen, Obute, Rhalumi Daniel, Glover, Thomas E., Clark, David J., Boshnaq, Mohamed, Akhtar, Mansoor, Capleton, Pascale, Doughan, Samer, Rabie, Mohamed, Mohamed, Ismail, Samuel, Duncan, Dickson, Lauren, Kennedy, Matthew, Dempster, Eleanor, Brown, Emma, Maple, Natalie, Monaghan, Eimear, Wolf, Bernhard, Garland, Alicia, Mcphee, Arthur, Anderson, David, Anderson, Robert, Hassan, Sarah, Smith, Dave, Lund, Jonathan, Boereboom, Catherine, Murphy, Jennifer, Tierney, Gillian, Tou, Samson, Zimmermann, Eleanor Franziska, Smart, Neil James, Warwick, Andrea Marie, Stasinou, Theodora, Daniels, Ian, Findlay-Cooper, Kim, Mitrasinovic, Stefan, Ray, Swayamjyoti, Varcada, Massimo, D'Souza, Rovan, Omara, Sharif, Spurr, Matthew, Parkinson, Lucienne, Hanks, Anthony, Ma, Jennifer, Abington, Emily, Ramcharn, Meera, Williams, Gethin, Winstanley, Joseph, Kennedy, Ewan D., Yeung, Emily N. W., Jones, Catrin, O'neill, Stephen, Lim, Shujing Jane, Liew, Ignatius, Nair, Hari, Oh, Julia, Koh, Samantha, Wilson, Andrew, Fairfield, Catherine, Anandkumar, Delran, Kirupagaran, Ashok, Jones, Timothy F., Torrance, Hew Dt, Fowler, Alexander J., Chandrakumar, Charmilie, Patel, Priyank, Ashraf, Syed Faaz, Lakhani, Sonam M., Mclean, Aaron Lawson, Basson, Sonia, Batt, Jeremy, Bowman, Catriona, Benons, Natasha, Mason, Clare, Harrison, Rebecca, Quayle, John, Barker, Tom, Summerour, Virginia, Harper, Edward, Smith, Caroline, Hampton, Matthew, Pitt, Sophie K., Ward, Alex E., O'Connor, Timothy, Heywood, Emily G., Chowdhury, Abeed, Hossaini, Sina, Watson, Nicholas Fs, Farah, Ayaan, Chun, Anita, Koh, Hoey, Lim, Grace, Sunderland, Graham, Gould, Laura, Munipalle, P. C., Rooney, H., Browning, D. R. L., Pereira, Bernadette, Nemeth, Kristof, Decker, Emily, Giuliani, Stefano, Shalaby, Aly, Shaikh, Shafaque, Tan, Chern Yan, Palkhi, Ebrahim Y. A., Szczap, Aleksandra, Chidambaram, Swathikan, Chen, Chee Yang, Kulasabanathan, Kavian, Chhabra, Srishti, Kostov, Elisabeth, Harbord, Philippe, Barnacle, James, Palliyil, Madan Mohan, Zikry, Mina, Porter, Johnathan, Raslan, Charef, Hafiz, Shazia, Soltani, Niksa, Baillie, Katie, Singh, Priyanka, Sheth, Shailee, Patel, Kishen, Khalili, Mahry, Choi, Jeesoo, Benger, Matthew, Marples, Lucy, Macfarlane, Alastair, Thurairaja, Ramesh, Boyce, Tamsin, Whewell, Harriet, Jones, Elin, Th'ng, Francesca, Robertson, Nichola, Mirza, Ahmad, Saeed, Haroon, Galloway, Simon, Elena, Gia, Afzal, Mohammad, Zakir, Mohamed, Sodde, Peter, Hand, Charles, Sriram, Aiesha, Clark, Tamsyn, Livesey, Amy, Sinha, Yashashwi, Iqbal, Fahad Mujtaba, Bharj, Indervir Singh, Rotundo, Adriana, Jenvey, Cara, Slade, Robert, Golding, David, Haines, Samuel, Abdullah, Ali Adel Ne'ma, Tilston, Thomas W., Loughran, Dafydd, Donoghue, Danielle, Giacci, Lorenzo, Sherif, Mohamed Ashur, Harrison, Peter, Tang, Alethea, Kotecha, Deevia, Elshaer, Mohamed, Urbonas, Tomas, Riaz, Amjid, Chapman, Annie, Acharya, Parisha, Shalhoub, Joseph, Grossart, Cathleen, McMorran, David, Mlotshwa, Makhosini, Hawkins, William, Loizides, Sofronis, Krishna, Kandaswamy, Orchard, Melanie, Ho, Chik Wai, Thomson, Peter, Khan, Shahab, Taylor, Fiona, Shukla, Jalak, Howie, Emma Elizabeth, Macdonald, K. Linda, Komolafe, Olusegun, Mcintyre, Neil, Cragg, James, Parker, Jody, Stewart, Duncan, Lintin, Luke, Tracy, Julia, Farooq, Tahir, Molina, George, Kaafarani, Haytham, Beyene, Robel, Sava, Jack, Scott, Mark, Swaroop, Mamta, Kennedy, Raelene, Azodo, Ijeoma A., Heffernan, Daithi, Chun, Tristen, Stephen, Andrew, Sion, Melanie, Weinstein, Michael S., Punja, Viren, Bugaev, Nikolay, Goodstein, Monica, Razmdjou, Shadi, Etchill, Eric, Puyana, Juan Carlos, Kesinger, Matthew, Napolitano, Lena, To, Kathleen, Hemmila, Mark, Todd, K. Oliver, Jenner, Edward, Hoogakker, Ellen, Grizhja, Besmir, Ymeri, Shpetim, Galiqi, Gezim, Klappenbach, Roberto, Antezana, Diego, Beleno, Alvaro Enrique Mendoza, Costa, Cecilia, Sanchez, Belen, Aviles, Susan, Fermani, Claudio Gabriel, Villalobos, Santiago, Carmona, Juan Manuel, Hamill, Daniel, Deutschmann, Peter, Sandler, Simone, Cox, Daniel, Nataraja, Ram, Sharpin, Claire, Ljuhar, Damir, Gray, Demi, Haines, Morgan, Iyer, Dush, Niranjan, Nithya, D'Amours, Scott, Ashtari, Morvarid, Franco, Helena, Karim, Sabbir, Aman, Nowrin F., Estee, Mahnuma Mahfuz, Salma, Umme, Razzaque, Joyeta, Kanta, Tasnia Hamid, Tori, Sayeeda Aktar, Alamin, Shadid, Roy, Swapnil, Al Amin, Shadid, Karim, Rezaul, Haque, Muhtarima, Faruq, Amreen, Iftekhar, Farhana, O'Shea, Margaret, Padmore, Greg, Jonnalagadda, Ramesh, Litvin, Andrey, Filatau, Aliaksandr, Paulouski, Dzmitry, Shubianok, Maryna, Shachykava, Tatsiana, Khokha, Dzianis, Khokha, Vladimir, Djivoh, Fernande, Dossou, Francis, Seto, Djifid Morel, Gbessi, Dansou Gaspard, Noukpozounkou, Bruno, Keke, Kpemahouton Rene, Hodonou, Fred, Ahounou, Ernest Yemalin Stephane, Alihonou, Thierry, Denakpo, Max, Ahlonsou, Germain, Bedada, Alemayehu Ginbo, Nsengiyumva, Carlos, Kwizera, Sandrine, Barendegere, Venerand, Choi, Philip, Jamal, Luai, Chen, Tzu-Ling, Yip, Chingwan, Zapata, Felipe, Lanau, Maria Isabel Villegas, Arango, Maria Clara Mendoza, Restrepo, Ivan Mendoza, Giraldo, Ruben Santiago Restrepo, Youssef, Mohamed, Thabet, Waleed, Sanad, Aly, Zaki, Ahmed, Abdel-Hameed, Noran, Mostafa, Mohamed, Omar, Muhammad Fathi Waleed, Ghanem, Ahmed, Denewar, Adel, Emara, Eman, Rashad, Eman, Sakr, Ahmad, Elashry, Rehab, Emile, Sameh, Khafagy, Toqa, Elhamouly, Sara, Elfarargy, Arwa, Mohamed, Amna Mamdouh, Nagy, Ghada Saied, Esam, Abeer, Elwy, Eman, Hammad, Aya, Khallaf, Salwa, Ibrahim, Eman, Saidbadr, Ahmed, Moustafa, Ahmed, EldosoukyMohammed, Amany, Elgheriany, Mohammed, Abdelmageed, Eman, Al Raouf, Eman Abd, Elbanby, Esraa Samir, Elmasry, Maha, Farahat, Mahitab Morsy, Mansor, Eman Yahya, Hegazy, Eman Magdy, Gamal, Esraa, Gamal, Heba, Kandil, Hend, Abdelrouf, Doaa Maher, Moaty, Mohamed, Gamal, Dina, El-Sagheer, Nada, Salah, Mohamed, Magdy, Salma, Salah, Asmaa, Essam, Ahmed, Ali, Ahmed, Badawy, Mahmoud, Ahmed, Sara, Mohamed, Mazed, Assal, Abdelrahman, Sleem, Mohamed, Ebidy, Mai, Elrazek, Aly Abd, Zahran, Diaaaldin, Adam, Nourhan, Nazir, Mohamed, Hassanein, Adel B., Ismail, Ahmed, Elsawy, Amira, Mamdouh, Rana, Mabrouk, Mohamed, Ahmed, Lopna Ahmed Mohamed, Alnaby, Mohamed Hassab, Magdy, Eman, Abd-Elmawla, Manar, Fahim, Marwan, Mowafy, Bassant, Mahmoud, Moustafa Ibrahim, Allam, Meran, Alkelani, Muhammad, El Gendy, Noran Halim, Aboul-Naga, Mariam Saad, El-Din, Reham Alaa, Elgendy, Alyaa Halim, Ismail, Mohamed, Shalaby, Mahmoud, Elsharkawy, Aya Adel, Moghazy, Mahmoud Elsayed, Elbisomy, Khaled Hesham, Shakshouk, Hend Adel Gawad, Hamed, Mohamed Fouad, Ebidy, Mai Mohamed, Ahmed, Hayam, Adel, Israa, Omar, Mohammad Elsayed, Ibrahim, Mohamed, Ghoneim, Omar, Hesham, Omar, Gamal, Shimaa, Hilal, Karim, Arafa, Omar, Awad, Sawsan Adel, Salem, Menatalla, Elsherif, Fawzia Abdellatif, Elsabbagh, Nourhan, Aboelsoud, Moustafa R., Rida, Ahmed Hossam Eldin Fouad, Hossameldin, Amr, Hany, Ethar, Asar, Yomna Hosny, Anwar, Nourhan, Gadelkarim, Mohamed, Abdelhady, Samar, Morshedy, Eman Mohamed, Saad, Reham, Soliman, Nourhan, Salama, Mahmoud, Ezzat, Eslam, Mohamed, Arwa, Ibrahim, Arwa, Fergany, Alaa, Mohammed, Sara, Reda, Aya, Allam, Yomna, Saad, Hanan Adel, Abdelfatah, Afnan, Fathy, Aya Mohamed, El-Sehily, Ahmed, Kasem, Esraa Abdalmageed, Hassan, Ahmed Tarek Abdelbaset, Mohammed, Ahmed Rabeih, Saad, Abdalla Gamal, Ibrahim, Arij, Hassaan, Amr, Mohammed, Mohammed Mustafa, Elhoseny, Ghada, Magdy, Mohamed, Elkhalek, Esraa Abd, Zakaria, Yehia, Ezzat, Tarek, El Dahab, Ali Abo, Kelany, Mohamed, Arafa, Sara, Hassan, Osama Mokhtar Mohamed, Badwi, Nermin Mohamed, Sleem, Ahmad Saber, Ahmed, Hussien, Abdelbadeai, Kholoud, Abdullah, Mohamed Abozed, Lokman, Muhammad Amsyar Auni, Bahar, Suraya, Abdelazeam, Anan Rady, Adelshone, Abdelrahman, Bin Hasnan, Muhammad, Zulkifli, Athirah, Kamarulzamil, Siti Nur Alia, Elhendawy, Abdelaziz, Latif, Aliang, Bin Adnan, Ahmad, Shaharuddin, Shahadatul, Majid, Aminah Hanum Haji Abdul, Al-Marakby, Dina, Bin Ismail, Mohamad Jeffrey, Basir, Elissa Rifhan Mohd, Ali, Citra Dewi Mohd, Ata, Aya Yehia, Nasr, Maha, Rezq, Asmaa, Sheta, Ahmed, Tariq, Sherif, Sallam, Abd Elkhalek, Darwish, Abdelrhman K. Z., Elmihy, Sohaila, Elhadry, Shady, Farag, Ahmed, Hajeh, Haidar, Abdelaal, Abdelaziz, Aglan, Amro, Zohair, Ahmed, Essam, Mahitab, Moussa, Omar, El-Gizawy, Esraa, Samy, Mostafa, Ali, Safia, Elhalawany, Esraa, Ata, Ahmed, El Halawany, Mohamed, Nashat, Mohamed, Soliman, Samar, Elazab, Alaa, Samy, Mostada, Abdelaziz, Mohamed A., Ibrahim, Khaled, Ibrahim, Ahmed mohamed, Gado, Ammar, Eldeen, Esraa Alm, loaloa, Mohamed Reda, Abouzaid, Arwa, Eldin, Mostafa Ahmed Bahaa, Hashad, Eman, Sroor, Fathy, Gamil, Doaa, Abdulhakeem, Eman Mahmoud, Zakaria, Mahmoud, Mohamed, Fawzy, Abubakr, Marwan, Ali, Elsayed, Magdy, Hesham, Refaat, Ahmed, Ramadan, Menna Tallah, Mohamed, Mohamed Abdelaty, Mansour, Salma, Amin, Hager Abdul Aziz, Mohamed, Ahmed Rabie, Saami, Mahmoud, Elsayed, Nada Ahmed Reda, Tarek, Adham, Mahmoud, Sabry Mohy Eldeen, El Sayed, Islam Magdy, Reda, Amira, Shawky, Martina Yusuf, Salem, Mohammed Mousa, El-Din, Shahinaz Alaa, Soliman, Noha Abdullah, Talaat, Muhammed, Alaael-Dein, Shahinaz, Elhusseiny, Ahmed Abd Elmoen, Abdullah, Noha, Elshaar, Mohammed, Ibraheem, Aya Abdel Fatah, Abdulaziz, Hager, Ismail, Mohammed Kamal, Madkor, Mona Hamdy, Abdelaty, Mohamed, Abdel-Kader, Sara Mahmoud, Salah, Osama Mohamed, Eldafrawy, Mahmoud, Eldeeb, Ahmed Zaki, Eid, Mostafa Mahmoud, Attia, Attia, Shwky, Ayman, Badenjki, Mohamed Adel, Soliman, Abdelrahman, Al Attar, Samaa Mahmoud, Sayed, Farrag, Sabour, Fahd Abdel, Azizeldine, Mohammed G., Shawqi, Muhammad, Hashim, Abdullah, Aamer, Ahmed, Abdelraouf, Ahmed Mahmoud, Abdelshakour, Mahmoud, Ibrahim, Amal, Mahmoud, Basma, Mahmoud, Mohamed Ali, Qenawy, Mostafa, Rashed, Ahmed M., Dahy, Ahmed, Sayed, Marwa, Shamsedine, Ahmed W., Mohamed, Bakeer, Hasan, Ahmad, Saad, Mahmoud M., Bassit, Khalil Abdul, El-Latif, Nadia KhalidAbd, Elzahed, Nada, El Kashash, Ahmed, Bekhet, Nada Mohamed, Hafez, Sarah, Gad, Ahmed, Maher, Mahmoud Elkhadragy, Elsameea, Ahmed Abd, Hafez, Mohamed, Sabe, Ahmad, Ahmed, Ataa, Shahine, Ahmed, Dawood, Khaled, Gaafar, Shireen, Husseiny, Reem, Aboelmagd, Omnia, Soliman, Ahmed, Mesbah, Nourhan, Emadeldin, Hossam, Al Meligy, Amgad, Bekhet, Amira Hassan, Hasan, Doaa, Alhady, Khaled, Sabe, Ahmad Khaled, Elnajjar, Mahmoud A., Aboelella, Majed, Hamsho, Ward, Hassan, Ihab, Saad, Hala, Abdelazim, Galaleldin, Mahmoud, Hend, Wael, Noha, Kandil, Ahmedali M., Magdy, Ahmed, Elkholy, Shimaa Said, Adel, Badr Eldin, Dabbour, Kareem, Elsherbiney, Saged, Mattar, Omar, Abdrabou, Abdulshafi Khaled, Aly, Mohammed Yahia Mohamed, Geuoshy, Abdelrahman, Elnagar, Ahmedglal, Ahmed, Saraibrahim, Abdelmotaleb, Ibrahem, Saleh, Amr Ahmed, Saeed, Manar, Mahmoud, Shady, Tawfik, Badreldin Adel, Ismail, Samar Adel, Zakaria, Esraay, Gad, Mariam O., Elhelbawy, Mohamed Salah, Bassem, Monica, Maraie, Noha, Elhadary, Nourhan Medhat, Semeda, Nourhan, Mohamed, Shaza Rabie, Bakry, Hesham Mohammed, Essam, A. A., Tarek, Dina, Ashour, Khlood, Elhadad, Alaa, Abdel-Aty, Abdulrahman, Rakha, Ibrahim, Matter, Sara Mamdouh, Abdelhamed, Rasha, Abdelkader, Omar, Hassaan, Ayat, Soliman, Yasmin, Mohamed, Amna, Farouk, Sara Amr Mohamed, Ibrahim, Eman Mohamed, El-Taher, Esraa, Mostafa, Merna, Badr, Mohamed Fawzy Mahrous, Elsemelawy, Rofida, El-Sawy, Aya, Bakr, Ahmad, Al Rafati, Ahmad Abdel Razaq, Saar, Sten, Reinsoo, Arvo, Seyoum, Nebyou, Worku, Tewodros, Fitsum, Agazi, Tolonen, Matti, Parmentier, Benoit, Dardenne, Sabrina, Robert, Elsa, Maillot, Betty, Courboin, Etienne, Hascoet, Juliette, Kaci, Amir Ait, Prudhomme, Thomas, Ballouhey, Quentin, Grosos, Celine, Fourcade, Laurent, Cecilia, Tolg, Jean-Francois, Colombani, Helene, Francois-Coridon, Delforge, Xavier, Haraux, Elodie, Dousset, Bertrand, Schiavone, Roberto, Gaujoux, Sebastien, Marret, Jean-Baptiste, Haffreingue, Aurore, Rod, Julien, Renaux-Petel, Mariette, Lecompte, Jean-Francois, Breaud, Jean, Gastaldi, Pauline, Taieb, Chouikh, Claire, Raquillet, Anis, Echaieb, Bustangi, Nasir, Lopez, Manuel, Grella, Maria Giovanna, Mariani, Aurora, Broch, Aline, Bandoh, Dickson, Kyereh, Martin, Asumah, Hamza, Appiah, Eric Kofi, Wondoh, Paul, Gyedu, Adam, Dally, Charles, Agbedinu, Kwabena, Amoah, Michael, Yifieyeh, Abiboye, Amoako-Boateng, Mabel, Dayie, Makafui, Hagan, Richmond, Debrah, Sam, Ohene-Yeboah, Micheal, Clegg-Lampety, Joe-Nat, Etwire, Victor, Dakubo, Jonathan, Essoun, Samuel, Bonney, William, Glover-Addy, Hope, Osei-Nketiah, Samuel, Amoako, Joachim, Adu-Aryee, Niiarmah, Appeadu-Mensah, William, Bediako-Bowan, Antoinette, Dedey, Florence, Ekow, Mattew, Akatibo, Emmanuel, Yakubu, Musah, Kordorwu, Hope Edem Kofi, Asare-Bediako, Kwasi, Tackie, Enoch, Aaniana, Kenneth, Acquah, Emmanuel, Opoku-Agyeman, Richard, Avoka, Anthony, Kusi, Kwasi, Maison, Kwame, Gyamfi, Frank Enoch, Barnabas, Gandau Naa, Abdul-Latif, Saiba, Amoako, Philip Taah, Davor, Anthony, Dassah, Victor, Dagoe, Enoch, Kwakyeafriyie, Prince, Akoto, Elliot, Ackom, Eric, Mensah, Ekow, Atkins, Ebenezer Takyi, Coompson, Christian Lari, Ivros, Nikolaos, Ferousis, Christoforos, Kalles, Vasileios, Kyriazanos, Ioannis, Barkolias, Christos, Tselos, Angelos, Tzikos, Georgios, Voulgaris, Evangelos, Bamicha, Athanasia, Stefanopoulos, Anastasios, Patoulias, Ioannis, Sfougaris, Dimitrios, Valioulis, Ioannis, Balalis, Dimitrios, Korkolis, Dimitrios, Manatakis, Dimitrios K., Kyrou, Georgios, Karabelias, Georgios, Papaskarlatos, Iason-Antonios, Konstantina, Kolonia, Zampitis, Nikolaos, Papailia, Aspasia, Theodosopoulos, Theodosios, Gkiokas, Georgios, Mitroudi, Magdalini, Panteli, Christina, Feidantsis, Thomas, Farmakis, Konstantinos, Kyziridis, Dimitrios, Ioannidis, Orestis, Parpoudi, Styliani, Parasyris, Stavros, Margaritis, Michail, Aguilera-Arevalo, Maria-Lorena, Coyoy-Gaitan, Otto, Rosales, Javier, Tale, Luis, Barrios, Emmanuel, Rodriguez, Servio Tulio Torres, Galvez, Carlos Paz, Cruz, Danilo Herrera, Rosenberg, Guillermo Sanchez, Matheu, Alejandro, Cohen, David Monterroso, Paul, Marie, Charles, Angeline, Lam, Justin Chak Yiu, Yeung, Man Hon Andrew, Fok, Chi Ying Jacquelyn, Li, Ka Hin Gabriel, Lai, Anthony Chuk-Him, Cheung, Yuk Hong Eric, Wong, Hong Yee, Leung, Ka Wai, Lee, Tien Seng Bryan, Lam, Wai Him, Dao, Weihei, Kwok, Stephanie Hiu-wai, Chan, Tsz-Yan Katie, Ng, Yung Kok, Mak, T. W. C., Foo, Chi Chung, Yang, James, Bhatnagar, Ankur, Upadhyaya, Vijaid, Muddebihal, Uday, Dar, Wasim, Janardha, K. C., Aruldas, Neerav, Adella, Fidelis Jacklyn, Rulie, Anthonius Santoso, Iskandar, Ferdy, Setiawan, Jonny, Evajelista, Cicilia Viany, Natalie, Hani, Suyadi, Arlindawati, Gunawan, Rudy, Karismaningtyas, Herlin, Mata, Lusi Padma Sulistianingsih, Andika, Ferry Fitriya Ayu, Hasanah, Afifatun, Widiastini, T. Ariani, Purwaningsih, Nurlaila Ayu, Mukin, Annisa Dewi Fitriana, Rahmah, Dina Faizatur, Nurqistan, Hazmi Dwinanda, Arsyad, Hasbi Maulana, Adhitama, Novia, Jeo, Wifanto Saditya, Sutandi, Nathania, Clarissa, Audrey, Gultom, Phebe Anggita, Billy, Matthew, Haloho, Andreass, Johanna, Nadya, Lee, Felix, Dorani, Radin Mohd Nurrahman Radin, Glynn, Martha, Alherz, Mohammad, Goh, Wennweoi, Shiwani, Haaris A., Sproule, Lorraine, Conlon, Kevin C., Bala, Miklosh, Kedar, Asaf, Bianco, Federica, Steccanella, Francesca, Gallo, Gaetano, Trompetto, Mario, Clerico, Giuseppe, Papandrea, Matteo, Sammarco, Giuseppe, Sacco, Rosario, Giavarini, Luisa, Giglio, Mariano Cesare, Bucci, Luigi, Pagano, Gianluca, Sollazzo, Viviana, Peltrini, Roberto, Luglio, Gaetano, Birindelli, Arianna, Mingrone, Pietro, Selvaggi, Francesco, Selvaggi, Lucio, Pellino, Gianluca, Di Martino, Natale, Curletti, Gianluca, Aonzo, Paolo, Galleano, Raffaele, Berti, Stefano, Francone, Elisa, Boni, Silvia, Lorenzon, Laura, lo Conte, Annalisa, Balducci, Genoveffa, Confalonieri, Gianmaria, Pesenti, Giovanni, Gavagna, Laura, Vasquez, Giorgio, Targa, Simone, Occhionorelli, Savino, Andreotti, Dario, Armellini, Andrea, Chiesa, Deborah, Aquilino, Fabrizio, Chetta, Nicola, Picciariello, Arcangelo, Abdelkhalek, Mohamed, Belli, Andrea, De Franciscis, Silvia, Bigaran, Annamaria, Favero, Alessandro, Basso, Stefano M. M., Salusso, Paola, Perino, Martina, Mochet, Sylvie, Sasia, Diego, Riente, Francesco, Migliore, Marco, Basilico, Silvia, Corbellini, Carlo, Lazzari, Veronica, Angelieri, Daniele, Coletta, Diego, Falaschi, Federica, Catani, Marco, Reali, Claudia, Malavenda, Mariastella, Del Basso, Celeste, Ribaldi, Sergio, Coletti, Massimo, Natili, Andrea, Depalma, Norma, Iannone, Immacolata, Antoniozzi, Angelo, Rossi, Davide, Gui, Daniele, Perrotta, Gerardo, Ripa, Matteo, Giardino, Francesco Ruben, Foco, Maurizio, Vicario, Erika, Nita, Gabriela Elisa, Leone, Nicoletta, Simioni, Andrea, De Boni, Davide, Pasquali, Sandro, Goldin, Elena, Vendramin, Elena, Ciccioli, Eleonora, Tedeschi, Umberto, Violi, Paola, Campagnaro, Tommaso, Conci, Simone, Lazzari, Giovanni, Iacono, Calogero, Gulielmi, Alfredo, Manfreda, Serena, Rinaldi, Anna, Ringressi, Maria Novella, Brunoni, Beatrice, Salamone, Giuseppe, Mangiapane, Mirko, De Marco, Paolino, La Brocca, Antonella, Tutino, Roberta, Silvestri, Vania, Licari, Leo, Fontana, Tommaso, Falco, Nicolo, Cocorullo, Gianfranco, Shalaby, Mostafa, Sileri, Pierpaolo, Arcudi, Claudio, Bsisu, Isam, Aljboor, Khaled, Abusalem, Lana, Alnusairat, Aseel, Qaissieh, Ahmad, Al-Dakka, Emad, Ababneh, Ali, Halhouli, Oday, Yusufali, Taha, Mohammed, Hussein, Lando, Justus, Parker, Robert, Ndegwa, Wairimu, Gribauskaite, Jolanta, Kuliavas, Justas, Dulskas, Audrius, Samalavicius, Narimantas E., Jasaitis, Kristijonas, Parseliunas, Audrius, Nevieraite, Viktorija, Slapelyte, Evelina, Dainius, Edvinas, Subocius, Andrejus, Venclauskas, Linas, Gulbinas, Antanas, Kasputyte, Simona, Mikuckyte, Deimante, Kiudelis, Mindaugas, Jankus, Tomas, Petrikenas, Steponas, Pazuskis, Matas, Vilcinskas, Mantas, Banaitis, Vincas Jonas, Gaizauskas, Vytautas, Grisin, Edvard, Mazrimas, Povilas, Drungilas, Mantas, Lagunavicius, Karolis, Lipnickas, Vytautas, Majauskyte, Dovile, Abaliksta, Tomas, Uscinas, Laimonas, Simutis, Gintaras, Ladukas, Adomas, Danys, Donatas, Sruogiene, Elena Zdanyte, Visinskas, Petras, Dragatas, Deividas, Burmistrovas, Andrius, Tverskis, Zygimantas, Vaicius, Arturas, Mazelyte, Ruta, Zadoroznas, Antanas, Ziubryte, Greta, Rahantasoa, Finaritra Casimir Fleur Prudence, Samison, Luc Herve, Rasoaherinomenjanahary, Fanjandrainy, Tolotra, Todisoa Emmanuella Christina, Mukuzunga, Cornelius, Kwatiwani, Chimwemwe, Msiska, Nelson, Chai, Feng Yih, Asilah, Siti Mohd Desa, Syibrah, Khuzaimah Zahid, Chin, Pui Xin, Riswan, Nur Zulaika, Chong, Hoong-Yin, Aziz, Nora Abdul, Poh, Keat-Seong, Chai, Chu-Ann, Kumar, Sandip, Taher, Mustafa Mohammed, Aziz, Dayang Nita Abdul, Julaihi, Rokayah, Jethwani, Durvesh Lacthman, Yahaya, Muhammad Taqiyuddin, Mathew, Susan Wndy, Chung, Kuet Jun, Nirumal, Milaksh Kumar, Tze, R. Goh Ern, Ali, Syed Abdul Wahhab Eusoffee Wan, Gan, Yiing Yee, Ting, Jesse Ron Swire, Sii, Samuel S. Y., Koay, Kean Leong, Tan, Yi Koon, Cheah, Alvin Ee Zhiun, Wong, Chui Yee, Mat, Tuan Nur'Azmah Tuan, Chow, Crystal Yern Nee, Har, Prisca A. L., Der, Yishan, Henry, Fitjerald, Low, Xinwei, Neo, Ya Theng, Heng, Hian Ee, Kong, Shu Ning, Gan, Cheewei, Mok, Yi Ting, Tan, Yee Wen, Palayan, Kandasami, Tata, Mahadevan Deva, Cheong, Yih Jeng, Gunaseelan, Kuhaendran, Nasir, Wan Nurul'Ain Wan Mohd, Yoganathan, Pigeneswaren, Lee, Eu Xian, Saw, Jian Er, Yeang, Li Jing, Koh, Pei Ying, Lim, Shyang Yee, Teo, Shuang Yi, Grech, Nicole, Magri, Daniela, Cassar, Kristina, Mizzi, Christine, Falzon, Malcolm, Shaikh, Nihaal, Scicluna, Ruth, Zammit, Stefan, Mizzi, Sean, Brincat, Svetlana Doris, Tembo, Thelma, Le, Vu Thanh Hien, Grima, Tara, Sammut, Keith, Carabott, Kurt, Zarb, Ciskje, Navarro, Andre, Dimech, Thea, Camilleri, Georgette Marie, Bertuello, Isaac, Dalli, Jeffrey, Bonavia, Karl, Corro-Diaz, Samantha, Manriquez-Reyes, Marisol, la Medina, Antonio Ramos-De, Abdelhamid, Amina, Hrora, Abdelmalek, Benammi, Sarah, Bachri, Houda, Abbouch, Meryem, Boukhal, Khaoula, Bennai, Redouane Mammar, Belkouchi, Abdelkader, Jabal, Mohamed Sobhi, Benyaiche, Chaymae, Vermaas, Maarten, Duinhouwer, Lucia, Pastora, Javier, Wood, Greta, Merlo, Maria Soledad, Ajao, Akinlabi, Ayandipo, Omobolaji, Lawal, Taiwo, Abdurrazzaaq, Abdussemiu, Alada, Muslimat, Nasir, Abdulrasheed, Habeeb, Olufemi, Mendel, Henry, Bello, Bashir, Muktar, Umar, Olajide, Thomas Olagboyega, Oshati, Oyindamola, Ihediwa, George, Adenekan, Babajide, Nwinee, Victor, Lawal, Abdulrazzaq, Bode, Chris, Olugbemi, Mojolaoluwa, Odutola, Oluwatomi, Adebola, Oluwaseyi, Onuoha, Clement, Balogun, Fatai, Ajai, Olalekan, Njokanma, Iloba, Kache, Stephen, Ajah, Jonathan, Makama, Jerry, Adamu, Ahmed, Baba, Suleiman, Aliyu, Mohammad, Aliyu, Shamsudeen, Ukwenya, Yahaya, Aliyu, Halima, Sholadoye, Tunde, Daniyan, Muhammad, Ogunsua, Oluseyi, Sheshe, Abdurrahaman, Mshelbwala, Philip, Samson, Garba, Timothy, Oyediran Kehinde, Samuel, Sani Ali, Ajiboye, Anthony, Amole, Isaac, Abiola, Olajide, Olaolorun, Akin, Veen, Torhild, Kanani, Arezo, Styles, Kristian, Herikstad, Ragnar, Larsen, Johannes Wiik, Soreide, Jon Arne, Jensen, Elisabeth, Gran, Mads, Aahlin, Eirik Kjus, Gaarder, Tina, Monrad-Hansen, Peter Wiel, Naess, Pal Aksel, Lauzikas, Giedrius, Wiborg, Joachim, Holte, Silje, Augestad, Knut Magne, Banipal, Gurpreet Singh, Moe, Thomas Tetens, Schultz, Johannes Kurt, Al-taher, Taher, Hamdan, Ayah, Salman, Ayman, Saadeh, Rana, Musleh, Aseel, Jaradat, Dana, Abushamleh, Soha, Hanoun, Sakhaa, Abu Qumbos, Amjad, Hamarshi, Aseel, Taher, Ayman, Qawasmi, Israa, Qurie, Khalid, Altarayra, Marwa, Ghannam, Mohammad, Shaheen, Alaa, Herebat, Azher, Abdelhaq, Aram, Shalabi, Ahmad, Abu-toyour, Maram, Asi, Fatema, Shamasneh, Ala, Atiyeh, Anwar, Mustafa, Mousa, Zaa'treh, Rula, Dabboor, Majd, Alaloul, Enas, Baraka, Heba, Meqbil, Jehad, Al-Buhaisi, Alaa, Elshami, Mohamedraed, Afana, Samah, Jaber, Sahar, Alyacoubi, Said, Abuowda, Yousef, Idress, Tasneem, Abuqwaider, Eman, Al-saqqa, Sara, Bowabsak, Alaa, El Jamassi, Alaa, Hasanain, Doaa, Al-farram, Hadeel, Salah, Maram, Firwana, Aya, Hamdan, Marwa, 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N., Sanni, Hakeem Ayomi, Okenabirhie, Ogheneochuko, Homeida, Anmar, Younis, Abobaker, Omer, Omer Abdelbagi, Abdulaziz, Mustafa, Mussad, Ali, Adam, Ali, Sokratous, Arestis, Breistrand, Michaela, Sigurdadottir, Johanna, Nikberg, Maziar, Chabok, Abbas, Elbe, Peter, Saraste, Deborah, Rutkowski, Wiktor, Forlin, Louise, Niska, Karoliina, Oswald, Dennis, Peros, Georgios, Bluelle, Rafael, Reinisch, Katharina, Frey, Daniel, Palma, Adrian, Zumbuhl, Lucius, Werder, Gabriela, Mahanty, Silke, Widmer, Lukas Werner, Muller, Julia, Gubeli, Alissa, Zuk, Grzegorz, Gulcicek, Osman Bilgin, Vartanoglu, Talar, Kose, Emin, Karahan, Servet Rustu, Aydin, Mehmet Can, Sahbaz, Nuri Alper, Halicioglu, Ilkay, Alis, Halil, Sapci, Ipek, Aiyaman, Can, Pektas, Ahmet Murat, Cengiz, Turgut Bora, Tansoker, Ilkan, Isler, Vedatcan, Cevik, Muazzez, Mutlu, Deniz, Ozben, Volkan, Ozmen, Berk Baris, Bayram, Sefa, Yolcu, Sinem, Kobal, Berna Buse, Toto, Omer Faruk, Cakaloglu, Haluk Cem, Karabulut, Kagan, Mutlu, Vahit, Celik, Saban, Semiz, Anil, Bodur, Selim, Gul, Enisburak, Murutoglu, Busra, Yildirim, Reyyan, Baki, Bahadir Emre, Arslan, Ekin, Guner, Ali, Tomas, Kadir, Walker, Nathan, Shrimanker, Nikhita, Cole, Simon, Breslin, Ryan, Srinivasan, Ravi, Hunter, Kristina, Al-Bahrani, Ahmed, Mairs, Nora Grace, Rocke, Alistair, Dick, Lachlan, Qureshi, Mobeen, Chowdhury, Debkumar, Wright, Naomi, Skerritt, Clare, Kufeji, Dorothy, Ho, Adrienne, Dissanayake, Tharindra, Tennakoon, Athula, Ali, Wadah, Tan, Charlene, O'Neill, Stephen, Knight, Stephen, Nassif, Dima, Sharma, Abhishek, White, Rebecca, Mehdi, Aia, Post, Nathan, Kalakouti, Eliana, Dashnyam, Enkhbat, Stourton, Frederick, Mykoniatis, Ioannis, Wong, Francisca, Gupta, Ashish, Shatkar, Veeranna, Kadiwar, Suraj, Smedley, Alexander, Wakefield, Rebecca, Herrod, Philip, Blackwell, James, Cohen, Fraser, Bandi, Ashwath, Bond-Smith, Giles, Farhangmehr, Neda, Perenyei, Miklos, Ireland, Philip, Bowling, Kirk, Bunting, David, Longstaff, Lydia, Keogh, Kenneth, Jeon, Hyunjin, Iqbal, Muhammad Rafaih, Khosla, Shivun, Jeffery, Anna, Perera, James, Alhammali, Tariq, Oram, Shaun, Kidd, Thomas, Cullen, Fraser, Owen, Christopher, Wilson, Michael, Chiu, Seehui, Sarafilovic, Hannah, Ploski, Jennifer, Evans, Elizabeth, Abbas, Athar, Kamya, Sylvia, Ishak, Norzawani, Bisset, Carly, Andress, Cedar, Chin, Ye Ru, Patel, Priya, Evans, David, Haslegrave, Aidan, Boggon, Adam, Laurie, Kirsten, Mann, Thomas, Mansuri, Anahita, Davies, Rachel, Shahbaz, Aized Raza, Eng, Calvin, Din, Farhat, L'Heveder, Ariadne, Park, Esther H. G., Ravishankar, Ramanish, McIntosh, Kirsten, Yau, Jih Dar, Chan, Luke, McGarvie, Susan, Tang, Lingshan, Lim, Hui, Yap, Suhhuey, Park, Jay, Ng, Zhan Herr, Mirza, Shahrukh, Ang, Yun Lin, Walls, Luke, Roy, Chloe, Paterson-Brown, Simon, Mclean, Kenneth, D'Souza, Michelle S., Pronin, Savva, Henshall, David Ewart, Ter, Eunice Zuling, English, William, Morgan, Catrin, Townsend, Dominic, Maciejec, Laura, Mahdi, Shareef, Akpenyi, Onyinye, Hall, Elisabeth, Caydiid, Hanaan, Rob, Zakaria, Abbott, Tom, Torrance, Hew D., Johnston, Robin, Gani, Mohammed Akil, Rajmohan, Shivanchan, Majid, Kiran, Smith, Christopher, Palliyil, Madanmohan, Patel, Sanjay, Nicholson, Luke, Harvey, Neil, Shillito, Sam, Kershaw, Suzanne, Bamford, Rebecca, Orton, Peter, Reunis, Elke, Jama, Guled M., Dhillon, Dharminder, Patel, Khyati, Nanthakumaran, Shayanthan, Heard, Rachel, Chen, Kar Yan, Barmayehvar, Behrad, Datta, Uttaran, Kamarajah, Sivesh K., Tani, Sobhana Iftekhar, Donnelly, Philippa, Walker, Michael, Blacker, Sarah, Kaul, Anil, Paramasivan, Arjun, Farag, Sameh, Nessa, Ashrafun, Awadallah, Salwa, Lim, Jieqi, Ng, James Chean Khun, Kiran, Ravi P., Murray, Alice, Dasari, Mohini, Puyana, Juan, Haddad, Nadeem, Zielinski, Martin, Choudhry, Asad, Caliman, Celeste, Beamon, Mieshia, Duane, Therese, Myers, Jonathan, Deal, Rebecca, Makupe, Alex, Musowoya, Joseph, Van Der Naald, Niels, Kumwenda, Dayson, Reece-Smith, Alex, Otten, Kars, Verbeek, Anna, Prins, Marloes, Suarez, Alibeth Andres Baquero, Deane, Chelsea, Dijan, Emilio, Elfiky, Mahmoud, Koskenvuo, Laura, Thollot, Aurore, Limoges, Bernard, Capito, Carmen, Alexandre, Challine, Kotobi, Henri, Leroux, Julien, Pinnagoda, Kalitha, Henric, Nicolas, Azzis, Olivier, Rosello, Olivier, Francois, Poddevin, Etienne, Sara, Buisson, Philippe, Hmila, Sophian, Clegg-Lamptey, Joe-Nat, Imoro, Osman, Abem, Owusu Emmanuel, Papageorgiou, Dimitrios, Soulou, Vasiliki, Asturia, Sabrina, Pena, Lenin, O'Connor, Donal B., Luc, Alberto Realis, Russo, Alfio Alessandro, Ruzzenente, Andrea, Taddei, Antonio, Cona, Camilla, Bottini, Corrado, Pascale, Giovanni, Rotunno, Giuseppe, Solaini, Leonardo, Pascale, Marco Maria, Notarnicola, Margherita, Corbellino, Mario, Sacco, Michele, Ubiali, Paolo, Cautiero, Roberto, Bocchetti, Tommaso, Muzio, Elena, Guglielmo, Vania, Morandi, Eugenio, Mao, Patrizio, De Luca, Emilia, Ali, Farah Mahmoud, Kondrotas, Paulius, Baltrunas, Robertas, Kutkevicius, Juozas, Ignatavicius, Povilas, Tan, Choy Ling, Siaw, Jia Yng, Yam, Sir Young, Wilson, Ling, Aziz, Mohamed Rezal Abdul, Bondin, John, Zorrilla, Carmina Diaz, Majbar, Anass, Sale, Danjuma, Abdullahi, Lawal, Osagie, Olabisi, Faboya, Omolara, Fatuga, Adedeji, Taiwo, Agboola, Nwabuoku, Emeka, Bliksoen, Marte, Khan, Zain Ali, Coronel, Jazmin, Miranda, Cesar, Vasquez, Idelso, Helguero-Santin, Luis M., Rickard, Jennifer, Adedeji, Adesina, Alqahtani, Saleh, Rath, Max, Van Niekerk, Michael, Koto, Modise Zacharia, Matos-Puig, Roel, Israelsson, Leif, Schuetz, Tobias, Yuksek, Mahmut Arif, Mericliler, Meric, Ulusahin, Mehmet, Yong, Guo Liang, Whitehurst, Katharine, Redgrave, Natalie, Musyoka, Caroluce K., Olivier, James, Lee, Kathryn, Cox, Michael, Farhan-Alanie, Muhamed M. 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Z., Višinskas, P., Žilinskienė, R., Dragatas, D., Burmistrovas, A., Tverskis, Z., Vaicius, A., Mazelyte, R., Zadoroznas, A., Žiubrytė, G., Rahantasoa, F. C. F. P., Samison, L. H., Rasoaherinomenjanahary, F., Tolotra, T. E. C., Mukuzunga, C., Kwatiwani, C., Msiska, N., Chai, F. Y., Asilah, S. M. D., Syibrah, K. Z., Chin, P. X., Riswan, N. Z., Aziz, N. A., Poh, K. S., Chai, C. A., Taher, M. M., Aziz, D. N. A., Julaihi, R., Jethwani, D. L., Yahaya, M. T., Mathew, S. W., Chung, K. J., Nirumal, M. K., Ali, Sawew., Gan, Y. Y., Ting, J. R. S., Sii, S. S. Y., Koay, K. L., Tan, Y. K., Cheah, A. E. Z., Wong, C. Y., Nur'Azmah Tuan Mat, T., Chow, C. Y. N., Har, P. A. L., Der, Y., Henry, F., Low, X., Neo, Y. T., Heng, H. E., Kong, S. N., Gan, C., Mok, Y. T., Tan, Y. W., Palayan, K., Tata, M. D., Cheong, Y. J., Gunaseelan, K., Nasir, Wnawm., Yoganathan, P., Lee, E. X., Saw, J. E., Yeang, L. J., Koh, P. Y., Lim, S. Y., Teo, S. 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L., Siaw, J. Y., Yam, S. Y., Wilson, L., Aziz, M. R. A., Bondin, J., Zorrilla, C. D., Majbar, A., Sale, D., Abdullahi, L., Osagie, O., Faboya, O., Fatuga, A., Taiwo, A., Nwabuoku, E., Bliksøen, M., Khan, Z. A., Coronel, J., Miranda, C., Vasquez, I., Helguero-Santin, L. M., Rickard, J., Adedeji, A., Alqahtani, S., Rath, M., Niekerk, M. V., Koto, M. Z., Matos-Puig, R., Israelsson, L., Schuetz, T., Yuksek, M. A., Mericliler, M., Uluşahin, M., Yong, G. L., Whitehurst, K., Redgrave, N., Musyoka, C. K., Olivier, J., Lee, K., Cox, M., Farhan-Alanie, M. M. H., Callan, R., Chibuye, C., Ali, T. H. A., Rekhis, S., Rommaneh, M., Sam, Z. H., Pugliesi, T. B., Pardo, G., Blanco, R., Thomas, Hannah S, Weiser, Thomas G, Drake, Thomas M, Knight, Stephen R, Fairfield, Cameron, Ademuyiwa, Adesoji O, Aguilera, Maria Lorena, Alexander, Philip, Al‐Saqqa, Sara W, Borda‐Luque, Giuliano, Costas‐Chavarri, Ainhoa, Ntirenganya, Faustin, Fitzgerald, J Edward, Fergusson, Stuart J, Glasbey, Jame, Ingabire, J.C. Allen, Ismaïl, Lawani, Salem, Hosni Khairy, Kojo, Anyomih Theophilus Teddy, Lapitan, Marie Carmela, Lilford, Richard, Mihaljevic, Andre L, Morton, Dion, Mutabazi, Alphonse Zeta, Nepogodiev, Dmitri, Adisa, Adewale O, Ots, Riinu, Pata, Francesco, Pinkney, Thoma, Poškus, Toma, Qureshi, Ahmad Uzair, Medina, Antonio Ramos‐De, Rayne, Sarah, Shaw, Catherine A, Shu, Sebastian, Spence, Richard, Smart, Neil, Tabiri, Stephen, Bhangu, Aneel, Harrison, Ewen M, Verjee, Azmina, Runigamugabo, Emmy, Altamini, Afnan, Cornick, Jen, Jaffry, Zahra, Khatri, Chetan, Kirby, Andrew, Mohan, Midhun, Recinos, Gustavo, Søreide, Kjetil, Gobin, Neel, Freitas, Ana Vega, Hall, Nigel, Kim, Sung‐Hee, Negida, Ahmed, Khairy, Hosni, Chapman, Stephen J, Arnaud, Alexis P, Manipal, Cutting Edge, Amandito, Radhian, Shawki, Marwan, Hanrahan, Michael, Zilinskas, Justa, Roslani, April Camilla, Goh, Cheng Chun, Irwin, Gareth, Luque, Laura, Shiwani, Hunain, Altamimi, Afnan, Alsaggaf, Mohammed Ubaid, Jeyakumar, Jenifa, Cengiz, Yucel, Raptis, Dmitri A, Glasbey, James C, Modolo, Maria Marta, Iyer, Dushyant, King, Sebastian, Arthur, Tom, Nahar, Sayeda Nazmum, Waterman, Ade, Walsh, Lawani Ismaïl, Agarwal, Arnav, Zani, Augusto, Firdouse, Mohammed, Rouse, Tyler, Liu, Qinyang, Correa, Juan Camilo, Talving, Peep, Worku, Mengistu, Arnaud, Alexi, Kalles, Vassili, Kumar, Basant, Kumar, Sunil, Quek, Roy, Ansaloni, Luca, Altibi, Ahmed, Venskutonis, Donata, Poskus, Toma, Whitaker, John, Msosa, Vanessa, Tew, Yong Yong, Farrugia, Alexia, Borg, Elaine, Bentounsi, Zineb, Gala, Tanzeela, Al‐Slaibi, Ibrahim, Tahboub, Haya, Alser, Osaid H., Romani, Diego, Shu, Sebestian, Major, Piotr, Mironescu, Aurel, Bratu, Matei, Kourdouli, Amar, Ndajiwo, Aliyu, Altwijri, Abdulaziz, Gudal, Ahmad, Jubran, Al Faifi, Seisay, Sam, Lieske, Bettina, Ortega, Irene, Senanayake, Kithsiri J., Abdulbagi, Omar, Raptis, Dmitri, Altinel, Yuksel, Kong, Chia, Teasdale, Ella, Stoddart, Michael, Kabariti, Rakan, Suresh, Sukrit, Gash, Katherine, Narayanan, Ragavan, Maimbo, Mayaba, Fermani, Claudio, Balmaceda, Ruben, Macdermid, Ewan, Chenn, Roxanne, Yong, Cheryl Ou, Edye, Michael, Jarmin, Martin, D'amours, Scott K, Youssef, Daniel, Phillips, Nichola, Brown, Jason, George, Robert, Koh, Cherry, Warren, Oliver, Hanley, Isaac, Dickfos, Marilla, Nawara, Clemen, Öfner, Dietmar, Primavesi, Florian, Mitul, Ashrarur Rahman, Mahmud, Khalid, Hussain, Margub, Hakim, Hafiz, Kumar, Tapan, Oosterkamp, Antje, Assouto, Pamphile A, Lawani, Ismail, Souaibou, Yacoubou Imorou, Tun, Aung Kyaw, Chong, Chean Leung, Devadasar, Giridhar H, Qadir, Muhammad Rashid Minha, Aung, Kyaw Phyo, Yeo, Lee Shi, Castillo, Vanessa Dina Palomino, Munhoz, Monique Moron, Moreira, Gisele, Segundo, Luiz Carlos Barros De Castro, Ferreira, Salim Anderson Khouri, Careta, Maíra Cassa, Kim, Stella Binna, De Sousa, Alexandre Venancio, Cury, Alyne Daltri Lazzarini, Miguel, Gustavo Peixoto Soare, De Freitas, Ana Vega Carreiro, Silvestre, Barbara Pereira, Vianna, Julia Guasti Pinto, Felipe, Carolina Oliveira, Laufer, Luis Alberto Valente, Altoe, Fernanda, Da Silva, Luana Ayre, Pimenta, Marina Luiza, Giuriato, Thiago Fernande, Morais, Paulo Alves Bezerra, Luiz, Jessica Souza, Araujo, Rafael, Menegussi, Juliana, Leal, Marisa, Lima, Caio Vinícius Barroso, Tatagiba, Luiza Sarmento, Leal, Antônio, Santos, Diogo Viniciu, Fraga, Gustavo Pereira, Simoes, Romeo Lage, Stock, Simon, Nigo, Samuel, Kabba, Juana, Ngwa, Tagang Ebogo, Brown, Jame, Azzie, George, Kushwaha, Sameer, Bailey, Karen, Cameron, Brian, Livingston, Michael, Horobjowsky, Alexandre, Deckelbaum, Dan L, Razek, Tarek, Marinkovic, Bori, Grasset, Eugenio, D'aguzan, Nicole, Jimenez, Julio, Macchiavello, Roberto, Zhang, Zhongtao, Guo, Wei, Oh, Junyeong, Zheng, Fei, Montes, Irene, Sierra, Sebastian, Mendez, Manuela, Villegas, Maria Isabel, Arango, Maria Clara Mendoza, Mendoza, Ivan, Aristizã¡bal, Fred Alexander Naranjo, Botero, Jaime Andres Montoya, Riaza, Victor Manuel Quintero, Restrepo, Jakeline, Morales, Carlo, Cruz, Herman, Munera, Alejandro, Karlo, Robert, Domini, Edgar, Mihanovic, Jakov, Radic, Mihael, Zamarin, Kresimir, Pezelj, Nikica, Hache‐Marliere, Manuel, Lemaire, Sylvia Batista, Rivas, Ruben, Khyrallh, Ahmed, Hassan, Ahamed, Shimy, Gamal, Baky Fahmy, Mohamed A, Nabawi, Ayman, Elfil, Mohamed, Ghoneem, Mohamed, Gohar, Muhammad El‐Saied Ahmad Muhammad, Asal, Mohamed, Abdelkader, Mostafa, Gomah, Mahmoud, Rashwan, Hayssam, Karkeet, Mohamed, Gomaa, Ahmed, Hasan, Amr, Elgebaly, Ahmed, Saleh, Omar, Fattah, Ahmad Abdel, Gouda, Abdullah, Elshafay, Abd Elrahman, Gharib, Abdalla, Menshawy, Ahmed, Hanafy, Mohammed, Al‐Mallah, Abdullah, Abdulgawad, Mahmoud, Baheeg, Mohamad, Alhendy, Mohammed, AbdelFattah, Ibrahim, Kenibar, Abdalla, Osman, Omar, Gemeah, Mostafa, Mohammed, Ahmed, Adel, Abdalrahman, Mohammed, Abdelrahman, Sayed, Abdelrahman, Abozaid, Mohamed, Kotb, Ahmed Hafez El‐Badri, Ata, Ali Amin Ahmed, Nasr, Mohammed, Alkammash, Abdelrahman, Saeed, Mohammed, El Hamid, Nader Abd, Attia, Attia Mohamed, El Galeel, Ahmed Abd, Elbanby, Eslam, El‐Dien, Khalid Salah, Hantour, Usama, Alahmady, Omar, Mansour, Billal, Elkorashy, Amr Muhammad, Taha, Emad Mohamed Saeed, Lasheen, Kholod Tarek, Elkolaly, Salma Said, Abdel‐Wahab, Nehal Yosri Elsayed, Abozyed, Mahmoud Ahmed Fathi, Adel, Ahmed, Saeed, Ahmed Moustafa, El Sayed, Gehad Samir, Youssif, Jehad Hassan, Ahmed, Soliman Magdy, El‐Shahat, Nermeen Soubhy, Khedr, Abd El‐Rahman Hegazy, Elsebaaye, Abdelrhman Osama, Elzayat, Mohamed, Abdelraheim, Mohamed, Elzayat, Ibrahim, Warda, Mahmoud, El Deen, Khaled Naser, Elnemr, Abdelrhman Essam, Salah, Omar, Abbas, Mohamed, Rashad, Mona, Elzayyat, Ibrahim, Hemeda, Dalia, Tawfik, Gehad, Salama, Mai, Khaled, Hazem, Seisa, Mohamed, Elshaer, Kareem, Hussein, Abdelfatah, Elkhadrawi, Mahmoud, Afifi, Ahmed Mohamed, Ebrahim, Osama Saadeldeen, Metwally, Mahmoud Mohamed, Elmelegy, Rowida, Elsawahly, Diaa Moustafa Elbendary, Safa, Hisham, Nofal, Eman, Elbermawy, Mohamed, Ghazy, Ahmed Abdelmotaleb, Samih, Hisham, Abdelgelil, Asmaa, Abdelghany, Sarah, El Kholy, Ahmed, Aboraya, Metwally, Elkady, Fatma, Salma, Mahmoud, Samy, Sarah, Fakher, Reem, Aboarab, Aya, Samir, Ahmed, Sakr, Ahmed, Haroun, Abdelrahman, Al‐Aarag, Asmaa Abdel‐Rahman, Elkholy, Ahmed, Elshanwany, Sally, Ghanem, Esraa, Tammam, Ahmed, Hammad, Ali Mohamed, El Shoura, Yousra, El Ashal, Gehad, Antar, Sarah, Mehrez, Sara, Abdelshafy, Mahmoud, Hamad, Maha Gamal Mohamad, Hosh, Mona, Abdallah, Emad, Magdy, Basma, Alzayat, Thuraya, Gamaly, Elsayed, Elfeki, Hossam, Abouzahra, Amany, Elsheikh, Shereen, Elgendy, Fatimah I, El‐Salam, Fathia Abd, Seifelnasr, Osama, Ammar, Mohamed, Eysa, Athar, Sadek, Aliaa, Toeema, Aliaa Gamal, Nasr, Aly, Abuseif, Mohamed, Zidan, Hagar, Barakat, Sara Abd Elmageed, Elsayed, Nadin, Elrasoul, Yasmin Abd, Elkelany, Ahmed, Ammar, Mohamed Sabry, Mustafa, Mennat‐Allah, Hegazy, Yasmin, Etman, Mohamed, Saad, Samar, Alrahawy, Mahmoud, Raslan, Ahmed, Morsi, Mahmoud, Rslan, Ahmed, Sabry, Ahmed, Elwakil, Hager, Shaker, Heba, Abd‐Elrasoul, Yasmin, El‐Kashef, Hussein, Shaalan, Mohamed, Tarek, Areej, Elwan, Ayman, Nayel, Ahmed Ragab, Seif, Mostafa, Emadeldin, Doaa, Ghonaim, Mohamed Ali, Almallah, Ahmad, Fouad, Ahmed, Sayma, Eman Adel, Elbatahgy, Ahmad, El‐Ma'doul, Angham Solaiman, Mosad, Ahmed, Tolba, Hager, Elsorogy, Diaa Eldin Abdelazeem Amin, Mostafa, Hassan Ali, Omar, Amira Atef, El Hameed, Ola Sherief Abd, Lasheen, Ahmed, El Salam, Yasser Abd, Morsi, Ashraf, Ismail, Mohammed, El‐badawy, Hager Ahmed, Amer, Mohamed A, El‐Hamouly, Ahmed Sabry, Attallah, Noura A., Mosalum, Omnia, Afandy, Ahmed, Mokhtar, Ahmed, Abouelnasr, Alaa, Ayad, Sara, Shaker, Ramdan, Sakr, Rokia, Shaker, Ramadan, Amreia, Mahmoud, Elsobky, Soaad, Mustafa, Mohamed, El Magd, Ahmed Abo, Marey, Abeer, Hafez, Amr Tarek, Zalabia, Mohamed F, Mohamed, Mohamed Moamen, Fadel, Amr, Ahmed, Emad Ali, Ali, Ahmad, Alwafai, Mohammad Ghassan, Dwydar, Abdullah, Kharsa, Sara, Mamdouh, Ehab, El‐Sheemy, Hatem, AlYoussef, Ibrahim, Aly, Abouelatta Khairy, Aldalaq, Ahmad, Alnawam, Ehab, Alkhabbaz, Dalia, Saad, Mahmoud, Hussein, Shady, Elazayem, Ahmed Abo, Meshref, Ahmed, Elashmawy, Marwa, Mousa, Mohammed, Nashaat, Ahmad, Ghanem, Sara, Elsayed, Zaynab M, Elwaey, Aya, Elkadsh, Iman, Darweesh, Mariam, Mohameden, Ahmed, Hafez, Mennaallah, Badr, Ahmed, Badwy, Assmaa, El Slam, Mohamed Abd, Elazoul, Mohamed, Al‐Nahrawi, Safwat, Eldamaty, Lotfy, Nada, Fathee, Ameen, Mohamed, Hagar, Aya, Elsehimy, Mohamed, Aboraya, Mohammad, Dawoud, Hossam, El Mesery, Shorouk, El Gendy, Abeer, Abdelkareem, Ahmed, Marey, Ahmed Safwan, Allam, Mostafa, Shehata, Sherif, Abozeid, Khaled, Elshobary, Marwa, Fahiem, Ahmed, Sarsik, Sameh, Hashish, Amel, Zidan, Mohamed, Hashish, Mohamed, Aql, Shaimaa, Elhendawy, Abdelaziz Osman Abdelaziz, Husseini, Mohamed, Kasem, Esraa, Gheith, Ahmed, Elfouly, Yasmin, Soliman, Ahmed Ragab, Ibrahim, Yasmein, Elfouly, Nesma, Fawzy, Ahmed, Hassan, Ahmed, Rashid, Mohammad, Elsherbiny, Abdallah Salah, Sieda, Basem, Badwi, Nermin M, Mohammed, Mohammed Mustafa Hassan, Mohamed, Osama, Habeeb, Mohammad Abdulkhalek, Starr, Nichole, Desta, Semay, Wondimu, Sahlu, Abebe, Nebyou Seyoum, Thomas, Efeson, Asele, Frehun Ayele, Dabessa, Daniel, Abebe, Nebiyou Seyoum, Zerihun, Abebe Bekele, Mentula, Panu, Leppäniemi, Ari, Sallinen, Ville, Scalabre, Aurelien, Frade, Fernanda, Irtan, Sabine, Graffeille, Vivien, Gaignard, Elodie, Alimi, Quentin, Graffieille, Vivien, Abbo, Olivier, Mouttalib, Sofia, Bouali, Ourdia, Hervieux, Erik, Aigrain, Yve, Botto, Nathalie, Faure, Alice, Fievet, Lucile, Panait, Nicoleta, Eyssartier, Emilie, Schmitt, Francoise, Podevin, Guillaume, Parent, Valentine, Martin, Amandine, Arnaud, Alexis Pierre, Muller, Cecile, Bonnard, Arnaud, Peycelon, Matthieu, Abantanga, Franci, Boakye‐Yiadom, Kwaku, Bukari, Mohammed, Owusu, Frank, Awuku‐Asabre, Joseph, Bray, Lemuel Davie, Lytras, Dimitrio, Psarianos, Kyriako, Bamicha, Anastasia, Kefalidi, Eirini, Gemenetzis, Georgio, Dervenis, Christo, Gouvas, Nikolao, Agalianos, Christo, Kontos, Michail, Kouraklis, Gregory, Karousos, Dimitrio, Germanos, Styliano, Marinos, Constantino, Anthoulakis, Christo, Nikoloudis, Nikolao, Mitroudis, Nikolao, Estupinian, Sergio, Forno, Walter, Azmitia, José René Arévalo, Cabrera, Carla Cecilia Ramãrez, Guevara, Romeo, Aguilera, Maria, Mendez, Napoleon, Mendizabal, Cesar Augusto Azmitia, Ramazzini, Pablo, Urquizu, Mario Contrera, Tale, Fernando, Soley, Rafael, Barrios, Emanuel, Barrios, Emmanuel, Rodríguez, Daniel Estuardo Marroquín, Velásquez, Carlos Iván Pérez, Mérida, Sara María Contrera, Regalado, Francisco, Lopez, Mario, Siguantay, Miguel, Lam, Fong Yee, Szeto, Kylie Joan‐yi, Szeto, Charing Cheuk Ling, Li, Wing Sum, Li, Kieran Ka Kei, Leung, Man Fung, Mak, Tony, Ng, Simon, Prasad, SS, Kirishnan, Anand, Gyanchandani, Nidhi, Kumar, Bylapudi Seshu, Rangarajan, Muthukumaran, Bhat, Sriram, Sreedharan, Anjana, Kinnera, S.V., Reddy, Yella, Venugopal, Caranj, Mittal, Abhishek, Nadkarni, Shravan, Lakshmi, Harish Neelamraju, Malik, Puneet, Limaye, Neel, Pai, Sriniva, Jain, Pratik, Khajanchi, Monty, Satoskar, Savni, Satoskar, Rajeev, Mahamood, Abid Bin, Sutanto, Eldaa Prisca Refianti, Soeselo, Daniel Ardian, Tedjaatmadja, Chintya, Rahmawati, Fitriana Nur, Mayasari, Maria, Al‐Hasani, Ruqaya Kadhim Mohammed Jawad, Al‐Hameedi, Hasan Ismael Ibraheem, Ibraheem, Hasan Ismael, Al‐Azraqi, Israa Abdullah Aziz, Sabeeh, Lubna, Kamil, Rahma, Telfah, Muwaffaq Mezeil, Rasendran, Amoudtha, Sheehan, Jacqueline, Kerley, Robert, Normile, Caoimhe, Gilbert, Richard William, Song, Jiheon, Dablouk, Mohamed, Mauro, Linnea, Dablouk, Mohammed Osman, Kielty, Paul, Marks, Eleanor, Gosling, Simon, Mccarthy, Michelle, Mirghani, Diya, Naqvi, Syed Altaf, Wong, Chee Siong, Chung, Siyi, D'cruz, Reuban, Cahill, Ronan, Gosling, Simon George, Fahy, Ciara, Cadogan, Diana Duarte, Powell, Anna, Gilbert, Richard, Clifford, Caroline, Driscoll, Aoife, Paul, Stassen, Lee, Chri, Bowe, Ro, Hutch, William, Mohan, Helen, O'neill, Maeve, Mealy, Kenneth, Danelli, Piergiorgio, Bondurri, Andrea, Maffioli, Anna, Pasini, Mario, Pata, Giacomo, Roncali, Stefano, Silvani, Paolo, Carlucci, Michele, Faccincani, Roberto, Bonavina, Luigi, Macchitella, Yuri, Ceriani, Chiara, Tugnoli, Gregorio, Di Saverio, Salomone, Khattab, Khaled, Paludi, Miguel Angel, Pata, Domenica, Cloro, Luigi Maria, Allegri, Andrea, Coccolini, Federico, Veronese, Ezio, Bortolasi, Luca, Hasheminia, Alireza, Nastri, Giacomo, Canto, Massimiliano Dal, Cucumazzo, Stefano, Benevento, Angelo, Tessera, Gaetano, Grandinetti, Pier Paolo, Maniscalco, Alessio, Lamanna, Giovanni Luca, Turati, Luca, Sgroi, Giovanni, Rausa, Emanuele, Villa, Roberta, Monteleone, Michela, Merlini, David, Grassi, Veronica, Cirocchi, Roberto, Cacurri, Alban, Waleed, Hamza, Diab, Ahmed, Elzowawi, Fathi, Jokubauskas, Manta, Varkalys, Karoli, Pranevicius, Roberta, Ambrozeviciute, Viktorija, Juciute, Simona, Skardžiukaitė, Austė, Bradulskis, Sauliu, Urbanavicius, Lina, Austraite, Aiste, Riauka, Romualda, Dambrauskas, Zilvina, Karumnas, Pauliu, Urniezius, Zigmanta, Zilinskiene, Reda, Rudzenskaite, Anele, Usaityte, Ausrine, Montrimaite, Margarita, Kaselis, Neriju, Strazdas, Andriu, Jokubonis, Kristijona, Maceviciute, Kornelija, Beisa, Virgiliju, Strupas, Kestuti, Laugzemys, Erika, Kolosov, Andrej, Jotautas, Valdemara, Rakita, Igna, Mikalauskas, Sauliu, Kazanavicius, Dariu, Rackauskas, Roka, Rakauskas, Ritaura, Preckailaite, Egle, Coomber, Ro, Johnson, Kenneth, Nowers, Jennifer, Periasammy, Dineshwary, Salleh, Afizah, Das, Andre, Tze, Reuben Goh Ern, Kumar, Milaksh Nirumal, Abdullah, Nik Azim Nik, Kosai, Nik Ritza, Taher, Mustafa, Rajan, Reynu, Chong, Hoong Yin, Agius, Marija, Bezzina, Maureen, Bugeja, Roberta, Vella‐Baldacchino, Martinique, Spina, Andrew, Psaila, Josephine, Francois‐Coridon, Helene, Tolg, Cecilia, Colombani, Jean‐Francoi, Diaz‐Zorrilla, null, De La Medina, Antonio Ramos‐, Gonzalez, Samantha Corro‐Diaz, Jacobe, Mário, Mapasse, Domingo, Snyder, Elizabeth, Oumer, Ramadan, Osman, Mohammed, Mohammad, Aminu, Anyanwu, Lofty‐John, Sheshe, Abdulrahman, Adesina, Alaba, Faturoti, Olubukola, Taiwo, Ogechukwu, Ibrahim, Muhammad Habib, Nasir, Abdulrasheed A, Suleiman, Siyaka Itopa, Adeniyi, Adewale, Adesanya, Opeoluwa, Adebanjo, Ademola, Osuoji, Roland, Atobatele, Kazeem, Ogunyemi, Ayokunle, Williams, Omolara, Oludara, Mobolaji, Oshodi, Olabode, Ademuyiwa, Adesoji, Lawal, AbdulRazzaq Oluwagbemiga, Alakaloko, Felix, Elebute, Olumide, Osinowo, Adedapo, Bode, Christopher, Adesuyi, Abidemi, Tade, Adesoji, Adekoya, Adeleke, Nwokoro, Collin, Ayandipo, Omobolaji O, Lawal, Taiwo Akeem, Ajao, Akinlabi E, Ali, Samuel Sani, Odeyemi, Babatunde, Olori, Samson, Popoola, Ademola, Adeyeye, Ademola, Adeniran, Jame, Lossius, William J., Havemann, Ingemar, Thorsen, Kenneth, Narvestad, Jon Kristian, Soreide, Kjetil, Wold, Trude Beate, Nymo, Linn, Elsiddig, Mohammed, Dar, Manzoor, Bhopal, Kamran Faisal, Iftikhar, Zainab, Furqan, Muhammad Mohsin, Nighat, Bakhtiar, Jawaid, Masood, Khalique, Abdul, Zil‐E‐Ali, Ahsan, Rashid, Anam, Dharamshi, Hasnain Abba, Naqvi, Tahira, Faraz, Ahmad, Anwar, Abdul Wahid, Yaseen, Tahir Muhammad, Shamsi, Ghina Shamim, Shamsi, Ghina, Yaseen, Tahir, Anwer, Wahid, Decoud, Horacio Parede, Aguilera, Omar, Alvarez, Ismael Isaac Zelada, Delgado, Juan Marcelo, Vega, Gustavo Miguel Machain, Lohse, Helmut Alfredo Segovia, Aguilar, Wendy Leslie Messa, Chiong, Jose Antonio Cabala, Bautista, Ana Cecilia Manchego, Huaman, Eduardo, Zegarra, Sergio, Camacho, Rony, Celis, Jose María Vergara, Pozo, Diego Alonso Romani, Hamasaki, José, Temoche, Edilberto, Herrera‐Matta, Jaime, Torres, Carla Pierina García, Barreda, Luis Miguel Alvarez, Ojeda, Ronald Renato Barrionuevo, Garaycochea, Octavio, Mollo, Melanie Castro, Delgado, Mitchelle Solange De Fã Tima Linare, Fujii, Francisco, Durand, Susana Yrma Aranzabal, Basto, Carlos Alejandro Arroyo, Rojas, Nelson Manuel Urbina, Yip, Sebastian Bernardo Shu, Vergara, Ana Lucia Contrera, Moran, Andrea Echevarria Rosa, Luque, Giuliano Borda, Castro, Manuel Rodriguez, Jaramillo, Ramon Alvarado, Sila, George Manrique, Lopez, Crislee Elizabeth, De Leon, Mardelangel Zapata Ponze, Machaca, Massiell, Huaraya, Ronald Coasaca, Arenas, Andy, López, Crislee, Puma, Clara Milagros Herrera, Pino, Wilfredo, Hinojosa, Christian, De Leon, Melanie Zapata Ponze, Limache, Susan, Sila, George Manrrique, Rodriguez, Layza‐Alejandra Mercado, Melo, Renato, Costa‐Maia, Jose, Muralha, Nuno, Sauvat, Frederique, Dan, Ionasc, Hogea, Mircea, Eduard, Pandi, Bratu, Razvan‐Matei, Beuran, Mircea, Diaconescu, Ionut‐Bogdan, Martian, Bogdan‐Valeriu, Iordache, Florin‐Mihail, Vartic, Mihaela, Vida, Lucian Corneliu, Muntean, Liviu Iuliu, Mironescu, Aurel Sandu, Nsengimana, Vizir Jean Paul, Niragire, Alice, Ingabire, Jean De La Croix Allen, Niyirera, Eugene, Zanini, Nicola, Jovine, Elio, Landolfo, Giovanni, Alomar, Ibrahim N., Alnuqaydan, Saleh A., Altwigry, Abdulrahman M., Othman, Moayad, Osman, Nohad, Alqahtani, Ena, Alzahrani, Mohammed, Alyami, Rifan, Aljohani, Emad, Alhabli, Ibrahim, Mikwar, Zaher, Almuallem, Sultan, Nawawi, Abrar, Bakhaidar, Mohamad, Maghrabi, Ashraf A., Alsaggaf, Mohammed, Aljiffry, Murad, Altaf, Abdulmalik, Khoja, Ahmad, Habeebullah, Alaa, Akeel, Nouf, Ghandora, Nashat, Almoflihi, Abdullah, Huwait, Abdulmalik, Al‐shammari, Abeer, Al‐Mousa, Mashael, Alghamdi, Masood, Adham, Walid, Albeladi, Bandar, Alfarsi, Muayad Ahmed, Mahdi, Atif, Al Awwad, Saad, Nouh, Thamer, Hassanain, Mazen, Aldhafeeri, Salman, Sadig, Nawal, Algohary, Osama, Aledrisy, Mohannad, Alrifaie, Ahmad, AlRowais, Mohammed, Althwainy, Amani, Shabkah, Alaa, Alamoudi, Uthman, Alrajraji, Mawaddah, Alghamdi, Basim, Aljohani, Saud, Daqeeq, Abdullah, Al‐Faifi, Jubran J, Jennings, Vicky, Ngayu, Nyawira, Moore, Rachel, Kong, Victor, Kretzmann, Hayden, Connor, Katie, Nel, Daniel, Sampson, Colleen, Panieri, Eugenio, Sishuba, Nosisa, Tun, Myint, Mphatsoe, Albert Mohale, Carreira, Jo‐Anne, Wagener, Mark, Botes, Stefan, Du Plessis, Danelo, Fernandez‐Bueno, Fernando, Aguilar‐Jimenez, Jose, Garcia‐Marin, Jose Andre, García, Lorena Solar, Florez, Luis Joaquín García, Pacheco, Rubén Darío Aria, Pagnozzi, Janet, Quezada, Jimy Harold Jara, Rodicio, Jose Lui, Minguez, German, Rodríguez‐Uría, Raquel, Ugalde, Paul, Lopez‐Arevalo, Camilo, Barneo, Lui, Stuva, Jessica Patricia Gonzale, Ortega‐Vazquez, Irene, Rodriguez, Lorena, Herrera, Norberto, Arachchi, Prasad Pitigala, Senanayake, Wanigasekara Senanayake Mudiyansela, Arachchige, Lalith Asanka Jayasooriya Jayasoori, Sivaganesh, Sivasuriya, Samaraweera, Dulan Irusha, Thanusan, Vimalakanthan, Musa, Ahmed Elgaili Khalid, Balila, Reem Mohammed Hassan, Mohamed, Mohamed Awad Elkarim Hamad, Ali, Hussein, Elabdin, Hagir Zain, Hassan, Alaa, Mahdi, Sefeldin, Ahmed, Hala, Idris, Sahar Abdoun Ishag, Elsayed, Makki, Elsayed, Mohammed, Mahmoud, Mohamed, Boijsen, Magnu, Lundgren, Per‐Olof, Gustafsson, Ulf, Kiasat, Ali, Wogensen, Fredrik, Jurdell, Emma, Thorell, Ander, Thorarinsdottir, Hildur, Utter, Maria, Sundstrom, Sami Martin, Wredberg, Cecilia, Kjellin, Ann, Nyberg, Johanna, Frisk, Bjorn, Sund, Malin, Andersson, Linda, Gunnarsson, Ulf, Cengiz, Yücel, Ahlqvist, Sandra, Royson, Ida Björklund Hanna, Weber, Per, Pahlsson, Hans‐Ivar, Borin, Eva, Hjertberg, Maria, Royson, Hanna, Schmid, Roger, Schivo, Debora, Despotidis, Vasileio, Breitenstein, Stefan, Staerkle, Ralph F, Schadde, Erik, Deichsel, Fabian, Gerosa, Alexandra, Nocito, Antonio, Raptis, Dimitri Aristotle, Mijuskovic, Barbara, Zuber, Marku, Eisner, Luka, Kruspi, Swantje, Reinisch, Katharina Beate, Schoewe, Christin, Novak, Allan, Palma, Adrian F., Teufelberger, Gerfried, Kimaro, Msafiri, King, Rachel, Balkan, Ali Zeynel Abidin, Gumar, Mehmet, Yavuz, Mehmet Ali, Karabacak, Ufuk, Lap, Gokhan, Ozkan, Bahar Busra, Karakahya, Murat, Adams, Ryan, Morton, Robert, Henderson, Liam, Gratton, Ruth, Clement, Keiran David, Chang, Kate Yu‐Ching, Mcnish, David, Mcintosh, Ryan, Milligan, William, Skelly, Brendan, Anderson‐Knight, Hannah, Lawther, Roger, Onimowo, Jemina, Shatkar, Veereanna, Tharmalingam, Shivanee, Woin, Evelina, Fautz, Tessa, Ziff, Oliver, Dindyal, Shiva, Arman, Sam, Talukder, Shagorika, Gadhvi, Vijay, Chew, Luen Shaun, Heath, Jonathan, Blencowe, Natalie, Hallam, Sally, Mannu, Gurdeep Singh, Zachariades, Dimitris‐Christo, Snaith, Ailsa Claire, Hettiarachchi, Thusitha Sampath, Nesaratnam, Arjun, Wheeler, Jame, McCullagh, Darragh, Clements, Joshua Michael, Khan, Ata, Koumpa, Foteini, Neophytou, Christina, Roth, Jessica, Soon, Wai Cheong, Deputy, Mohammed, Ahmed, Ahmed, Ashton, Annelisse, Vincent, Joe, Almy, Jack, Khan, Taufiq, Allen, John Lee Y, Mcintyre, Charlotte Jane, Marshall, Dominic Charle, Sykes, Mark, Behar, Nebil, Jordan, Harriet, Rajjoub, Yaseen, Sherman, Thoma, White, Timothy, Watts, Anna, Ardley, Rohan, Arulampalam, Tan, Shah, Apar, Brown, Damien, Blower, Emma, Sutton, Paul, Gasteratos, Konstantino, Vimalachandran, Dale, Magee, Cathy, Mcguigan, Andrew, Mcaleer, Stephen, Morgan, Clare, Braungart, Sarah, Lafferty, Kirsten, Labib, Peter, Tanase, Andrei, Mangan, Clodagh, Reza, Lillian, Woodward, Helen, Gouldthorpe, Craig, Turner, Megan, Wild, Jonathan R L, Malik, Tom AM, Proctor, Victoria K, Hewage, Kalon, Davies, Jame, Dubois, Andre, Sarwary, Sayed, Zardab, Ali, Grant, Alan, Mcintyre, Robert, Mogan, Yogendra Praveen, Ho, Weiguang, Chong, Bryon Frankie Hon Khi, Tewari, Shirish, Humm, Gemma, Hall, Eriberto Farinella Nigel J, Wright, Naomi J, Major, Christina P, Xerri, Thelma, De Bono, Phoebe, Amin, Jasim, Farhad, Mustafa, Camilleri‐Brennan, John F., Robertson, Andrew G N, Swann, Joanna, Richards, Jame, Jabbar, Aijaz, Attard, Myranda, Burns, Hannah, Macdonald, Euan, Baldacchino, Matthew, Skehan, Jennifer, Camilleri‐Brennan, Julian, Hall, Tom Falconer, Gimzewska, Madelaine, Mclachlan, Greta, Shah, Jamie, Giles, Jame, Chiu, Selina, Weber, Beatrix, Chiu, Selina Man Yeng, Highcock, Saskia, Hassan, Maleeha, Beasley, William, Vlachogiorgos, Apostolo, Dias, Stephen, Maharaj, Geta, Mcdonald, Rosie, Macdonald, Alisdair, Witherspoon, Paul, Baird, Alan, Sarmah, Panchali, Green, Nikki, Youssef, Haney, Cross, Kate, Rees, Clare M, Van Duren, Bernard, Upchurch, Emma, Khan, Khurram, Abudeeb, Haytham, Hammad, Ahmed, Karandikar, Sharad, Bowley, Doug, Karim, Ahmed, Chachulski, Witold, Richardson, Liam, Dawnay, Gile, Thompson, Ben, Mistry, Ajayesh, Ghetia, Millika, Roy, Sudipta, Al‐Obaedi, Ossama, Das, Kaustuv, Prabhudesai, Ash, Cocker, DM, Tan, Jessica Juliana, Tyler, Robert, Di Franco, Filippo, Ayyar, Shruti, Vivekanantham, Sayinthen, Gokani, Shyam, Gillespie, Michael, Gudlaugsdottir, Katrin, Pezas, Theodore, Currow, Chelise, Kim, Matthew Young‐Han, Birring, Amerdip, Edwards, Joanne, Ali, Ased, Das, Suparna, Jha, Madan, Atkinson, Kieran, Luck, Joshua, Fozard, Thoma, Puttick, Michael, Salama, Yahya, Shah, Rohi, Ibrahem, Ahmad Aboelkassem, Ebdewi, Hamdi, Gravante, Gianpiero, El‐Rabaa, Saleem, Nnajiuba, Henry, Allott, Rebecca, Bhargava, Aman, Chan, Zoe, Hassan, Zaffar, Makinde, Misty, Hemingway, David, Dean, Ramzana, Boddy, Alexander, Aber, Ahmed, Patel, Vijay, Parakh, Jehangirshaw, Parthiban, Sunil, Ubhi, Harmony Kaur, Hosein, Simon‐Peter, Ward, Simon, Malik, Kamran, Jennings, Leifa, Newton, Tom, Alkhouri, Mirna, Kang, Min Kyu, Houlden, Christopher, Barry, Jonathan, Raza, Imtanan, Farquharson, Alistair, Bhattacharya, Sanjeet, Chang, Kate, Wilson, Michael S J, Neo, Yan Ning, Ibrahim, Ibrahim, Chan, Emily, Peck, Fraser S, Lim, Pei J, North, Alexander S, Blundell, Rebecca, Williamson, Adam, Fouad, Dina, Minocha, Ashish, Mccarthy, Kathryn, Court, Emma, Chambers, Alice, Yee, Jenna, Tham, Ji Chung, Beaton, Ceri, Walsh, Una, Lockey, Joseph, Bokhari, Salman, Howells, Lara, Griffiths, Megan, Yallop, Laura, Singh, Shailinder, Nasher, Omar, Jackson, Paul, Shariffuddin, Abdul Muiz, Ho, Weng Chee, Wilson, Michael Sj, Pabla, Gurpreet, Ramzi, Saed, Zeidan, Shady, Doughty, Jennifer, Sinha, Sidhartha, Davenport, Ro, Lewis, Jason, Duffy, Leo, Mcaleer, Elizabeth, Williams, Eleanor, Som, Robin, Javed, Omar, Boal, Matthew, Harrison, Nicola, Tafazal, Habib, Brogden, Tom, Obute, Ewen Griffiths Rhalumi Daniel, Glover, Thomas E, Clark, David J, Boshnaq, Mohamed, Akhtar, Mansoor, Capleton, Pascale, Doughan, Samer, Rabie, Mohamed, Mohamed, Ismail, Samuel, Duncan, Dickson, Lauren, Kennedy, Matthew, Dempster, Eleanor, Brown, Emma, Maple, Natalie, Monaghan, Eimear, Wolf, Bernhard, Garland, Alicia, Mcphee, Arthur, Anderson, David, Anderson, Robert, Hassan, Sarah, Smith, Dave, Lund, Jonathan, Boereboom, Catherine, Murphy, Jennifer, Tierney, Gillian, Tou, Samson, Zimmermann, Eleanor Franziska, Smart, Neil Jame, Warwick, Andrea Marie, Stasinou, Theodora, Daniels, Ian, Findlay‐Cooper, Kim, Mitrasinovic, Stefan, Ray, Swayamjyoti, Varcada, Massimo, D'Souza, Rovan, Omara, Sharif, Spurr, Matthew, Parkinson, Lucienne, Hanks, Anthony, Ma, Jennifer, Abington, Emily, Ramcharn, Meera, Williams, Gethin, Winstanley, Joseph, Kennedy, Ewan D., 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Chee Yang, Kulasabanathan, Kavian, Chhabra, Srishti, Kostov, Elisabeth, Harbord, Philippe, Barnacle, Jame, Palliyil, Madan Mohan, Zikry, Mina, Porter, Johnathan, Raslan, Charef, Hafiz, Shazia, Soltani, Niksa, Baillie, Katie, Singh, Priyanka, Sheth, Shailee, Patel, Kishen, Khalili, Mahry, Choi, Jeesoo, Benger, Matthew, Marples, Lucy, Macfarlane, Alastair, Thurairaja, Ramesh, Boyce, Tamsin, Whewell, Harriet, Jones, Elin, Th'ng, Francesca, Robertson, Nichola, Mirza, Ahmad, Saeed, Haroon, Galloway, Simon, Elena, Gia, Afzal, Mohammad, Zakir, Mohamed, Sodde, Peter, Hand, Charle, Sriram, Aiesha, Clark, Tamsyn, Holton, Patrick, Livesey, Amy, Sinha, Yashashwi, Iqbal, Fahad Mujtaba, Bharj, Indervir Singh, Rotundo, Adriana, Jenvey, Cara, Slade, Robert, Golding, David, Haines, Samuel, Ne'ma Abdullah, Ali Adel, Tilston, Thomas W, Loughran, Dafydd, Donoghue, Danielle, Giacci, Lorenzo, Sherif, Mohamed Ashur, Harrison, Peter, Tang, Alethea, Kotecha, Deevia, Elshaer, Mohamed, Urbonas, Toma, Riaz, Amjid, Chapman, Annie, Acharya, Parisha, Shalhoub, Joseph, Grossart, Cathleen, McMorran, David, Mlotshwa, Makhosini, Hawkins, William, Loizides, Sofroni, Krishna, Kandaswamy, Orchard, Melanie, Ho, Chik Wai, Thomson, Peter, Khan, Shahab, Taylor, Fiona, Shukla, Jalak, Howie, Emma Elizabeth, Macdonald, Linda, Komolafe, Olusegun, Mcintyre, Neil, Cragg, Jame, Parker, Jody, Stewart, Duncan, Lintin, Luke, Tracy, Julia, Farooq, Tahir, Molina, George, Kaafarani, Haytham, Beyene, Robel, Sava, Jack, Scott, Mark, Swaroop, Mamta, Kennedy, Raelene, Azodo, Ijeoma A, Heffernan, Daithi, Chun, Tristen, Stephen, Andrew, Sion, Melanie, Weinstein, Michael S., Punja, Viren, Bugaev, Nikolay, Goodstein, Monica, Razmdjou, Shadi, Etchill, Eric, Puyana, Juan Carlo, Kesinger, Matthew, Napolitano, Lena, To, Kathleen, Hemmila, Mark, Todd, Oliver, Jenner, Edward, Hoogakker, Ellen, Grizhja, Besmir, Ymeri, Shpetim, Galiqi, Gezim, Klappenbach, Roberto, Antezana, Diego, Beleño, Alvaro Enrique Mendoza, Costa, Cecilia, Sanchez, Belen, Aviles, Susan, Fermani, Claudio Gabriel, Balmaceda, Rubén, Villalobos, Santiago, Carmona, Juan Manuel, Hamill, Daniel, Deutschmann, Peter, Sandler, Simone, Cox, Daniel, Nataraja, Ram, Sharpin, Claire, Ljuhar, Damir, Gray, Demi, Haines, Morgan, Iyer, Dush, Niranjan, Nithya, D'Amours, Scott, Ashtari, Morvarid, Franco, Helena, Karim, Sabbir, Aman, Nowrin F., Estee, Mahnuma Mahfuz, Salma, Umme, Razzaque, Joyeta, Kanta, Tasnia Hamid, Tori, Sayeeda Aktar, Alamin, Shadid, Roy, Swapnil, Al Amin, Shadid, Karim, Rezaul, Haque, Muhtarima, Faruq, Amreen, Iftekhar, Farhana, O'Shea, Margaret, Padmore, Greg, Jonnalagadda, Ramesh, Litvin, Andrey, Filatau, Aliaksandr, Paulouski, Dzmitry, Shubianok, Maryna, Shachykava, Tatsiana, Khokha, Dziani, Khokha, Vladimir, Djivoh, Fernande, Dossou, Franci, Seto, Djifid Morel, Gbessi, Dansou Gaspard, Noukpozounkou, Bruno, Keke, Kpèmahouton René, Hodonou, Fred, Ahounou, Ernest Yemalin Stephane, Alihonou, Thierry, Dénakpo, Max, Ahlonsou, Germain, Bedada, Alemayehu Ginbo, Nsengiyumva, Carlo, Kwizera, Sandrine, Barendegere, Venerand, Choi, Philip, Jamal, Luai, Chen, Tzu‐Ling, Yip, Chingwan, Zapata, Felipe, Lanau, Maria Isabel Villega, Restrepo, Ivan Mendoza, Giraldo, Ruben Santiago Restrepo, Youssef, Mohamed, Thabet, Waleed, Sanad, Aly, Zaki, Ahmed, Abdel‐Hameed, Noran, Mostafa, Mohamed, Omar, Muhammad Fathi Waleed, Ghanem, Ahmed, Denewar, Adel, Emara, Eman, Rashad, Eman, Sakr, Ahmad, Elashry, Rehab, Emile, Sameh, Khafagy, Toqa, Elhamouly, Sara, Elfarargy, Arwa, Mohamed, Amna Mamdouh, Nagy, Ghada Saied, Esam, Abeer, Elwy, Eman, Hammad, Aya, Khallaf, Salwa, Ibrahim, Eman, Saidbadr, Ahmed, Moustafa, Ahmed, Mohammed, Amany Eldosouky, Elgheriany, Mohammed, Abdelmageed, Eman, Al Raouf, Eman Abd, Elbanby, Esraa Samir, Elmasry, Maha, Farahat, Mahitab Morsy, Mansor, Eman Yahya, Hegazy, Eman Magdy, Gamal, Esraa, Gamal, Heba, Kandil, Hend, Abdelrouf, Doaa Maher, Moaty, Mohamed, Gamal, Dina, El‐Sagheer, Nada, Salah, Mohamed, Magdy, Salma, Salah, Asmaa, Essam, Ahmed, Ali, Ahmed, Badawy, Mahmoud, Ahmed, Sara, Mohamed, Mazed, Assal, Abdelrahman, Sleem, Mohamed, Ebidy, Mai, Elrazek, Aly Abd, Zahran, Diaaaldin, Adam, Nourhan, Nazir, Mohamed, Hassanein, Adel B, Ismail, Ahmed, Elsawy, Amira, Mamdouh, Rana, Mabrouk, Mohamed, Ahmed, Lopna Ahmed Mohamed, Alnaby, Mohamed Hassab, Magdy, Eman, Abd‐Elmawla, Manar, Fahim, Marwan, Mowafy, Bassant, Mahmoud, Moustafa Ibrahim, Allam, Meran, Alkelani, Muhammad, El Gendy, Noran Halim, Aboul‐Naga, Mariam Saad, El‐Din, Reham Alaa, Elgendy, Alyaa Halim, Ismail, Mohamed, Shalaby, Mahmoud, Elsharkawy, Aya Adel, Moghazy, Mahmoud Elsayed, Elbisomy, Khaled Hesham, Shakshouk, Hend Adel Gawad, Hamed, Mohamed Fouad, Ebidy, Mai Mohamed, Ahmed, Hayam, Adel, Israa, Omar, Mohammad Elsayed, Ibrahim, Mohamed, Ghoneim, Omar, Hesham, Omar, Gamal, Shimaa, Hilal, Karim, Arafa, Omar, Awad, Sawsan Adel, Salem, Menatalla, Elsherif, Fawzia Abdellatif, Elsabbagh, Nourhan, Aboelsoud, Moustafa R., Rida, Ahmed Hossam Eldin Fouad, Hossameldin, Amr, Hany, Ethar, Asar, Yomna Hosny, Anwar, Nourhan, Gadelkarim, Mohamed, Abdelhady, Samar, Morshedy, Eman Mohamed, Saad, Reham, Soliman, Nourhan, Salama, Mahmoud, Ezzat, Eslam, Mohamed, Arwa, Ibrahim, Arwa, Fergany, Alaa, Mohammed, Sara, Reda, Aya, Allam, Yomna, Saad, Hanan Adel, Abdelfatah, Afnan, Fathy, Aya Mohamed, El‐Sehily, Ahmed, Kasem, Esraa Abdalmageed, Hassan, Ahmed Tarek Abdelbaset, Mohammed, Ahmed Rabeih, Saad, Abdalla Gamal, Ibrahim, Arij, Hassaan, Amr, Mohammed, Mohammed Mustafa, Elhoseny, Ghada, Magdy, Mohamed, Elkhalek, Esraa Abd, Zakaria, Yehia, Ezzat, Tarek, El Dahab, Ali Abo, Kelany, Mohamed, Arafa, Sara, Hassan, Osama Mokhtar Mohamed, Badwi, Nermin Mohamed, Sleem, Ahmad Saber, Ahmed, Hussien, Abdelbadeai, Kholoud, Abdullah, Mohamed Abozed, Lokman, Muhammad Amsyar Auni, Bahar, Suraya, Abdelazeam, Anan Rady, Adelshone, Abdelrahman, Hasnan, Muhammad Bin, Zulkifli, Athirah, Kamarulzamil, Siti Nur Alia, Elhendawy, Abdelaziz, Latif, Aliang, Adnan, Ahmad Bin, Shaharuddin, Shahadatul, Majid, Aminah Hanum Haji Abdul, Al‐Marakby, Dina, Ismail, Mohamad Jeffrey Bin, Basir, Elissa Rifhan Mohd, Ali, Citra Dewi Mohd, Ata, Aya Yehia, Nasr, Maha, Rezq, Asmaa, Sheta, Ahmed, Tariq, Sherif, Sallam, Abd Elkhalek, Darwish, Abdelrhman KZ, Elmihy, Sohaila, Elhadry, Shady, Farag, Ahmed, Hajeh, Haidar, Abdelaal, Abdelaziz, Aglan, Amro, Zohair, Ahmed, Essam, Mahitab, Moussa, Omar, El‐Gizawy, Esraa, Samy, Mostafa, Ali, Safia, Elhalawany, Esraa, Ata, Ahmed, El Halawany, Mohamed, Nashat, Mohamed, Soliman, Samar, Elazab, Alaa, Samy, Mostada, Abdelaziz, Mohamed A, Ibrahim, Khaled, Ibrahim, Ahmed mohamed, Gado, Ammar, Eldeen, Esraa Alm, loaloa, Mohamed Reda, Abouzaid, Arwa, Eldin, Mostafa Ahmed Bahaa, Hashad, Eman, Sroor, Fathy, Gamil, Doaa, Abdulhakeem, Eman Mahmoud, Zakaria, Mahmoud, Mohamed, Fawzy, Abubakr, Marwan, Ali, Elsayed, Magdy, Hesham, Refaat, Ahmed, Ramadan, Menna Tallah, Mohamed, Mohamed Abdelaty, Mansour, Salma, Amin, Hager Abdul Aziz, Mohamed, Ahmed Rabie, Saami, Mahmoud, Elsayed, Nada Ahmed Reda, Tarek, Adham, Mahmoud, Sabry Mohy Eldeen, El Sayed, Islam Magdy, Reda, Amira, Shawky, Martina Yusuf, Salem, Mohammed Mousa, El‐Din, Shahinaz Alaa, Soliman, Noha Abdullah, Talaat, Muhammed, Alaael‐Dein, Shahinaz, Elhusseiny, Ahmed Abd Elmoen, Abdullah, Noha, Elshaar, Mohammed, Ibraheem, Aya Abdel Fatah, Abdulaziz, Hager, Ismail, Mohammed Kamal, Madkor, Mona Hamdy, Abdelaty, Mohamed, Abdel‐Kader, Sara Mahmoud, Salah, Osama Mohamed, Eldafrawy, Mahmoud, Eldeeb, Ahmed Zaki, Eid, Mostafa Mahmoud, Attia, Attia, Shwky, Ayman, Badenjki, Mohamed Adel, Soliman, Abdelrahman, Al Attar, Samaa Mahmoud, Sayed, Farrag, Sabour, Fahd Abdel, Azizeldine, Mohammed G., Shawqi, Muhammad, Hashim, Abdullah, Aamer, Ahmed, Abdelraouf, Ahmed Mahmoud, Abdelshakour, Mahmoud, Ibrahim, Amal, Mahmoud, Basma, Mahmoud, Mohamed Ali, Qenawy, Mostafa, Rashed, Ahmed M., Dahy, Ahmed, Sayed, Marwa, Shamsedine, Ahmed W., Mohamed, Bakeer, Hasan, Ahmad, Saad, Mahmoud M., Bassit, Khalil Abdul, El‐Latif, Nadia Khalid Abd, Elzahed, Nada, El Kashash, Ahmed, Bekhet, Nada Mohamed, Hafez, Sarah, Gad, Ahmed, Maher, Mahmoud Elkhadragy, Elsameea, Ahmed Abd, Hafez, Mohamed, Sabe, Ahmad, Ahmed, Ataa, Shahine, Ahmed, Dawood, Khaled, Gaafar, Shireen, Husseiny, Reem, Aboelmagd, Omnia, Soliman, Ahmed, Mesbah, Nourhan, Emadeldin, Hossam, Al Meligy, Amgad, Bekhet, Amira Hassan, Hasan, Doaa, Alhady, Khaled, Sabe, Ahmad Khaled, Elnajjar, Mahmoud A., Aboelella, Majed, Hamsho, Ward, Hassan, Ihab, Saad, Hala, Abdelazim, Galaleldin, Mahmoud, Hend, Wael, Noha, Kandil, Ahmedali M, Magdy, Ahmed, Elkholy, Shimaa Said, Adel, Badr Eldin, Dabbour, Kareem, Elsherbiney, Saged, Mattar, Omar, Abdrabou, Abdulshafi Khaled, Aly, Mohammed Yahia Mohamed, Geuoshy, Abdelrahman, Elnagar, Ahmedglal, Ahmed, Saraibrahim, Abdelmotaleb, Ibrahem, Saleh, Amr Ahmed, Saeed, Manar, Mahmoud, Shady, Tawfik, Badreldin Adel, Ismail, Samar Adel, Zakaria, Esraay, Gad, Mariam O., Elhelbawy, Mohamed Salah, Bassem, Monica, Maraie, Noha, Elhadary, Nourhan Medhat, Semeda, Nourhan, Mohamed, Shaza Rabie, Bakry, Hesham Mohammed, Essam, AA, Tarek, Dina, Ashour, Khlood, Elhadad, Alaa, Abdel‐Aty, Abdulrahman, Rakha, Ibrahim, Matter, Sara Mamdouh, Abdelhamed, Rasha, Abdelkader, Omar, Hassaan, Ayat, Soliman, Yasmin, Mohamed, Amna, Farouk, Sara Amr Mohamed, Ibrahim, Eman Mohamed, El‐Taher, Esraa, Mostafa, Merna, Badr, Mohamed Fawzy Mahrou, Elsemelawy, Rofida, El‐Sawy, Aya, Bakr, Ahmad, Al Rafati, Ahmad Abdel Razaq, Saar, Sten, Reinsoo, Arvo, Seyoum, Nebyou, Worku, Tewodro, Fitsum, Agazi, Tolonen, Matti, Parmentier, Benoît, Dardenne, Sabrina, Robert, Elsa, Maillot, Betty, Courboin, Etienne, Hascoet, Juliette, Kaci, Amir Ait, Prudhomme, Thoma, Ballouhey, Quentin, Grosos, Céline, Fourcade, Laurent, Cecilia, Tolg, Jean‐Francois, Colombani, Helene, Francois‐Coridon, Delforge, Xavier, Haraux, Elodie, Dousset, Bertrand, Schiavone, Roberto, Gaujoux, Sebastien, Marret, Jean‐Baptiste, Haffreingue, 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Gandau Naa, Abdul‐Latif, Saiba, Amoako, Philip Taah, Davor, Anthony, Dassah, Victor, Dagoe, Enoch, Kwakyeafriyie, Prince, Akoto, Elliot, Ackom, Eric, Mensah, Ekow, Atkins, Ebenezer Takyi, Coompson, Christian Lari, Ivros, Nikolao, Ferousis, Christoforo, Kalles, Vasileio, Kyriazanos, Ioanni, Barkolias, Christo, Tselos, Angelo, Tzikos, Georgio, Voulgaris, Evangelo, Bamicha, Athanasia, Stefanopoulos, Anastasio, Patoulias, Ioanni, Sfougaris, Dimitrio, Valioulis, Ioanni, Balalis, Dimitrio, Korkolis, Dimitrio, Manatakis, Dimitrios K, Kyrou, Georgio, Karabelias, Georgio, Papaskarlatos, Iason‐Antonio, Konstantina, Kolonia, Zampitis, Nikolao, Papailia, Aspasia, Theodosopoulos, Theodosio, Gkiokas, Georgio, Mitroudi, Magdalini, Panteli, Christina, Feidantsis, Thoma, Farmakis, Konstantino, Kyziridis, Dimitrio, Ioannidis, Oresti, Parpoudi, Styliani, Parasyris, Stavro, Margaritis, Michail, Aguilera‐Arevalo, Maria‐Lorena, Coyoy‐Gaitan, Otto, Rosales, Javier, Tale, Lui, Rodriguez, Servio Tulio Torre, Galvez, Carlos Paz, Cruz, Danilo Herrera, Rosenberg, Guillermo Sanchez, Matheu, Alejandro, Cohen, David Monterroso, Paul, Marie, Charles, Angeline, Lam, Justin Chak Yiu, Yeung, Man Hon Andrew, Fok, Chi Ying Jacquelyn, Li, Ka Hin Gabriel, Lai, Anthony Chuk‐Him, Cheung, Yuk Hong Eric, Wong, Hong Yee, Leung, Ka Wai, Lee, Tien Seng Bryan, Lam, Wai Him, Dao, Weihei, Kwok, Stephanie Hiu‐wai, Chan, Tsz‐Yan Katie, Ng, Yung Kok, Mak, TWC, Foo, Chi Chung, Yang, Jame, Bhatnagar, Ankur, Upadhyaya, Vijaid, Muddebihal, Uday, Dar, Wasim, Janardha, KC, Aruldas, Neerav, Adella, Fidelis Jacklyn, Rulie, Anthonius Santoso, Iskandar, Ferdy, Setiawan, Jonny, Evajelista, Cicilia Viany, Natalie, Hani, Suyadi, Arlindawati, Gunawan, Rudy, Karismaningtyas, Herlin, Mata, Lusi Padma Sulistianingsih, Andika, Ferry Fitriya Ayu, Hasanah, Afifatun, Widiastini, T Ariani, Purwaningsih, Nurlaila Ayu, Mukin, Annisa Dewi Fitriana, Rahmah, Dina Faizatur, Nurqistan, Hazmi Dwinanda, Arsyad, Hasbi Maulana, Adhitama, Novia, 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Dione, Almanon, Christel Leanne, Walędziak, Maciej, Roszkowski, Rafał, Janik, Michał, Lasek, Anna, Radkowiak, Dorota, Rubinkiewicz, Mateusz, Fernandes, Cristina, Muntean, Liviu, Popa, Mariuca, Mircea, Hogea, Diaconescu, Bogdan, Bratu, Matei Razvan, Negoi, Ionut, Ciubotaru, Cezar, Ingabire, J.C Allen, Uzabumwana, Norbert, Duhoranenayo, Dieudonne, Idris, Faisal, Alghamdi, Mohammed Saleh A., Maghrabi, Ashraf, Alkaaki, Aroub, Turkustani, Sondo, Khalifah, Eyad, Albiety, Adel, Sahel, Sarah, Alshareef, Reham, Najjar, Mohammed, Alzahrani, Ahmed, Alghamdi, Ahmed, Alhazmi, Wedyan, Al Saied, Ghiath, Alamoudi, Mohammed, Riaz, Muhammed Masood, Alhassan, Basmah, Altamimi, Abdullah, Alyahya, Reem, Al Subaie, Norah, Al Bastawis, Fatema, Khan, Roaa, Radojkovic, Milan, Jeremic, Ljiljana, Nestorovic, Milica, Law, Jia Hao, Tan, Keith Say Kwang, Tan, Ryan Choon Kiat, Tan, Joel Kin, Joel, Lau Wen Liang, Chan, Xue Wei, Leong, Faith Qi Hui, Chong, Choon Seng, Koh, Sharon, Lee, Kai Yin, Lee, Kuok Chung, Pluke, Kent, Dedekind, Britta, Nashidengo, Puyearashid, Hampton, Mark Ian, Joosten, Johanna, Sobnach, Sanju, Roodt, Liana, Sander, Anthony, Pape, Jame, Maistry, Niveshni, Ndwambi, Phumudzo, Kinandu, Kamau, Du Toit, Frederick, Ellison, Quinn, Burger, Sule, Grobler, DC, Khulu, Lawrence Bongani, Leusink, Astrid, Kariem, Nazmie, Gouws, Juan, Chu, Kathryn, Bougard, Heather, Noor, Fazlin, Dell, Angela, Van Straten, Stephanie, Khamajeet, Arvin, Tshisola, Serge Kapenda, Kabongo, Kalangu, Moodley, Yoshan, Anderson, Frank, Madiba, Thandinkosi, Plooy, Flip, Hartford, Leila, Chilton, Gareth, Karjiker, Parveen, Mabitsela, Matlou Ernest, Ndlovu, Sibongile Ruth, Badicel, Maria, Jaich, Robert, Ruiz‐Tovar, Jaime, Garcia‐Florez, Lui, Otero‐Díez, Jorge L., Pérez, Virginia Ramo, Suárez, Nuria Aguado, García, Javier Minguez, Moreno, Sara Corral, Collado, Maria Vicenta, Carneros, Virginia Jiménez, Septiem, Javier García, Gonzalez, Mariana, Picardo, Antonio, Esteban, Enrique, Ferrero, Esther, Espin‐Basany, Eloy, Blanco‐Colino, Ruth, Andriola, Valeria, Contreras, Elisa, Bernardo, Carmen García, Sanz, Sandra, León, Alberto Miyar, Dorismé, Asnel, Rodicio, Joselui, Suarez, Aida, Stuva, Jessica, Vico, Tamara Diaz, Fernandez‐Vega, Laura, Soldevila‐Verdeguer, Carla, Sena‐Ruiz, Fatima, Pujol‐Cano, Natalia, Diaz‐Jover, Paula, Garcia‐Perez, José Maria, Segura‐Sampedro, Juan Jose, Pineño‐Flores, Cristina, Ambrona‐Zafra, David, Craus‐Miguel, Andrea, Jimenez‐Morillas, Patricia, Mazzella, Angela, Jayathilake, A.B, Thalgaspitiya, S.P.B, Wijayarathna, L.S., Wimalge, P.M.S.N., Sanni, Hakeem Ayomi, Okenabirhie, Ogheneochuko, Homeida, Anmar, Younis, Abobaker, Omer, Omer Abdelbagi, Abdulaziz, Mustafa, Mussad, Ali, Adam, Ali, Björklund, Ida, Sokratous, Aresti, Breistrand, Michaela, Sigurdadottir, Johanna, Nikberg, Maziar, Chabok, Abba, Elbe, Peter, Saraste, Deborah, Rutkowski, Wiktor, Forlin, Louise, Niska, Karoliina, Oswald, Denni, Peros, Georgio, Bluelle, Rafael, Reinisch, Katharina, Frey, Daniel, Palma, Adrian, Zumbühl, Luciu, Werder, Gabriela, Mahanty, Silke, Widmer, Lukas Werner, Müller, Julia, Gübeli, Alissa, Zuk, Grzegorz, Gulcicek, Osman Bilgin, Vartanoglu, Talar, Kose, Emin, Karahan, Servet Rustu, Aydin, Mehmet Can, Sahbaz, Nuri Alper, Halicioglu, Ilkay, Alis, Halil, Sapci, Ipek, Adıyaman, Can, Pektaş, Ahmet Murat, Cengiz, Turgut Bora, Tansoker, Ilkan, Işler, Vedatcan, Cevik, Muazzez, Mutlu, Deniz, Ozben, Volkan, Ozmen, Berk Bari, Bayram, Sefa, Yolcu, Sinem, Kobal, Berna Buse, Toto, Ömer Faruk, Çakaloğlu, Haluk Cem, Karabulut, Kagan, Mutlu, Vahit, Celik, Saban, Semiz, Anil, Bodur, Selim, Gül, Enisburak, Murutoglu, Busra, Yildirim, Reyyan, Baki, Bahadir Emre, Arslan, Ekin, Guner, Ali, Tomas, Kadir, Walker, Nathan, Shrimanker, Nikhita, Cole, Simon, Breslin, Ryan, Srinivasan, Ravi, Hunter, Kristina, Al‐Bahrani, Ahmed, Mairs, Nora Grace, Rocke, Alistair, Dick, Lachlan, Qureshi, Mobeen, Chowdhury, Debkumar, Wright, Naomi, Skerritt, Clare, Kufeji, Dorothy, Ho, Adrienne, Dissanayake, Tharindra, Tennakoon, Athula, Ali, Wadah, Tan, Charlene, O'Neill, Stephen, Knight, Stephen, Nassif, Dima, Sharma, Abhishek, White, Rebecca, Mehdi, Aia, Post, Nathan, Kalakouti, Eliana, Dashnyam, Enkhbat, Stourton, Frederick, Mykoniatis, Ioanni, Wong, Francisca, Gupta, Ashish, Shatkar, Veeranna, Kadiwar, Suraj, Smedley, Alexander, Wakefield, Rebecca, Herrod, Philip, Blackwell, Jame, Cohen, Fraser, Bandi, Ashwath, Bond‐Smith, Gile, Farhangmehr, Neda, Perenyei, Miklo, Ireland, Philip, Bowling, Kirk, Bunting, David, Longstaff, Lydia, Keogh, Kenneth, Jeon, Hyunjin, Iqbal, Muhammad Rafaih, Khosla, Shivun, Jeffery, Anna, Perera, Jame, Alhammali, Tariq, Oram, Shaun, Kidd, Thoma, Cullen, Fraser, Owen, Christopher, Wilson, Michael, Chiu, Seehui, Sarafilovic, Hannah, Ploski, Jennifer, Evans, Elizabeth, Abbas, Athar, Kamya, Sylvia, Ishak, Norzawani, Bisset, Carly, Andress, Cedar, Chin, Ye Ru, Patel, Priya, Evans, David, Haslegrave, Aidan, Boggon, Adam, Laurie, Kirsten, Mann, Thoma, Mansuri, Anahita, Davies, Rachel, Griffiths, Ewen, Shahbaz, Aized Raza, Eng, Calvin, Din, Farhat, L'Heveder, Ariadne, Park, Esther H.G., Ravishankar, Ramanish, McIntosh, Kirsten, Yau, Jih Dar, Chan, Luke, McGarvie, Susan, Tang, Lingshan, Lim, Hui, Yap, Suhhuey, Park, Jay, Ng, Zhan Herr, Mirza, Shahrukh, Ang, Yun Lin, Walls, Luke, Roy, Chloe, Paterson‐Brown, Simon, Mclean, Kenneth, D'Souza, Michelle S, Pronin, Savva, Henshall, David Ewart, Ter, Eunice Zuling, English, William, Morgan, Catrin, Townsend, Dominic, Maciejec, Laura, Mahdi, Shareef, Akpenyi, Onyinye, Hall, Elisabeth, Caydiid, Hanaan, Rob, Zakaria, Abbott, Tom, Torrance, Hew D, Johnston, Robin, Gani, Mohammed Akil, Rajmohan, Shivanchan, Majid, Kiran, Smith, Christopher, Palliyil, Madanmohan, Patel, Sanjay, Nicholson, Luke, Harvey, Neil, Shillito, Sam, Kershaw, Suzanne, Bamford, Rebecca, Orton, Peter, Reunis, Elke, Jama, Guled M., Dhillon, Dharminder, Patel, Khyati, Nanthakumaran, Shayanthan, Heard, Rachel, Chen, Kar Yan, Barmayehvar, Behrad, Datta, Uttaran, Kamarajah, Sivesh K, Tani, Sobhana Iftekhar, Donnelly, Philippa, Walker, Michael, Blacker, Sarah, Kaul, Anil, Paramasivan, Arjun, Farag, Sameh, Nessa, Ashrafun, Awadallah, Salwa, Lim, Jieqi, Ng, James Chean Khun, Kiran, Ravi P., Murray, Alice, Dasari, Mohini, Puyana, Juan, Haddad, Nadeem, Zielinski, Martin, Choudhry, Asad, Caliman, Celeste, Beamon, Mieshia, Duane, Therese, Myers, Jonathan, Deal, Rebecca, Makupe, Alex, Musowoya, Joseph, Van Der Naald, Niel, Kumwenda, Dayson, Reece‐Smith, Alex, Otten, Kar, Verbeek, Anna, Prins, Marloe, Suarez, Alibeth Andres Baquero, Deane, Chelsea, Dijan, Emilio, Elfiky, Mahmoud, Koskenvuo, Laura, Thollot, Aurore, Limoges, Bernard, Capito, Carmen, Alexandre, Challine, Kotobi, Henri, Leroux, Julien, Pinnagoda, Kalitha, Henric, Nicola, Azzis, Olivier, Rosello, Olivier, Francois, Poddevin, Etienne, Sara, Buisson, Philippe, Hmila, Sophian, Clegg‐Lamptey, Joe‐Nat, Imoro, Osman, Abem, Owusu Emmanuel, Papageorgiou, Dimitrio, Soulou, Vasiliki, Asturias, Sabrina, Peña, Lenin, O'Connor, Donal B, Luc, Alberto Reali, Russo, Alfio Alessandro, Ruzzenente, Andrea, Taddei, Antonio, Cona, Camilla, Bottini, Corrado, Pascale, Giovanni, Rotunno, Giuseppe, Solaini, Leonardo, Pascale, Marco Maria, Notarnicola, Margherita, Corbellino, Mario, Sacco, Michele, Ubiali, Paolo, Cautiero, Roberto, Bocchetti, Tommaso, Muzio, Elena, Guglielmo, Vania, Morandi, Eugenio, Mao, Patrizio, De Luca, Emilia, Ali, Farah Mahmoud, Žilinskas, Justa, Kondrotas, Pauliu, Baltrunas, Roberta, Kutkevicius, Juoza, Ignatavicius, Povila, Tan, Choy Ling, Siaw, Jia Yng, Yam, Sir Young, Wilson, Ling, Aziz, Mohamed Rezal Abdul, Bondin, John, Zorrilla, Carmina Diaz, Majbar, Ana, Sale, Danjuma, Abdullahi, Lawal, Osagie, Olabisi, Faboya, Omolara, Fatuga, Adedeji, Taiwo, Agboola, Nwabuoku, Emeka, Bliksøen, Marte, Khan, Zain Ali, Coronel, Jazmin, Miranda, Cesar, Vasquez, Idelso, Helguero‐Santin, Luis M., Rickard, Jennifer, Adedeji, Adesina, Alqahtani, Saleh, Rath, Max, Niekerk, Michael Van, Koto, Modise Zacharia, Matos‐Puig, Roel, Israelsson, Leif, Schuetz, Tobia, Yuksek, Mahmut Arif, Mericliler, Meric, Uluşahin, Mehmet, Yong, Guo Liang, Whitehurst, Katharine, Redgrave, Natalie, Musyoka, Caroluce K, Olivier, Jame, Lee, Kathryn, Cox, Michael, Farhan‐Alanie, Muhamed M H, Callan, Rory, Chibuye, Chali, Ali, Tebian Hassanein Ahmed, Rekhis, Syrine, Rommaneh, Muna, Sam, Zi Hao, Pugliesi, Thays Brunelli, Pardo, Gabriel, Blanco, Ruth, and Acibadem University Dspace
Subjects: Adult, Male, barriers, humanos, checklist, surgery, human development index, GlobalSurg Collaborative, WHO Surgical Safety Checklist , mortality, emergency, laparotomy, World Health Organization, seguridad del paciente, NO, Cohort Studies, lista de control, estudios prospectivos, Humans, tasa de supervivencia, Prospective Studies, implementation, estudios de cohortes, Surgery, health, Emergency Treatment, 11 Medical and Health Sciences, mediana edad, Digestive System Surgical Procedures, Aged, anciano, Laparotomy, Science & Technology, Original Articles, adulto, Middle Aged, checklist, WHO, procedimientos quirúrgicos del sistema digestivo, Checklist, Survival Rate, Elective Surgical Procedures, laparotomía, tratamiento de urgencia, Original Article, Female, Patient Safety, Life Sciences & Biomedicine
Abstract: Background The World Health Organization (WHO) Surgical Safety Checklist has fostered safe practice for 10 years, yet its place in emergency surgery has not been assessed on a global scale. The aim of this study was to evaluate reported checklist use in emergency settings and examine the relationship with perioperative mortality in patients who had emergency laparotomy. Methods In two multinational cohort studies, adults undergoing emergency laparotomy were compared with those having elective gastrointestinal surgery. Relationships between reported checklist use and mortality were determined using multivariable logistic regression and bootstrapped simulation. Results Of 12 296 patients included from 76 countries, 4843 underwent emergency laparotomy. After adjusting for patient and disease factors, checklist use before emergency laparotomy was more common in countries with a high Human Development Index (HDI) (2455 of 2741, 89.6 per cent) compared with that in countries with a middle (753 of 1242, 60.6 per cent; odds ratio (OR) 0.17, 95 per cent c.i. 0.14 to 0.21, P < 0001) or low (363 of 860, 422 per cent; OR 008, 007 to 010, P < 0.001) HDI. Checklist use was less common in elective surgery than for emergency laparotomy in high-HDI countries (risk difference -94 (95 per cent c.i. -11.9 to -6.9) per cent; P < 0001), but the relationship was reversed in low-HDI countries (+121 (+7.0 to +173) per cent; P < 0001). In multivariable models, checklist use was associated with a lower 30-day perioperative mortality (OR 0.60, 0.50 to 073; P < 0.001). The greatest absolute benefit was seen for emergency surgery in low- and middle-HDI countries. Conclusion Checklist use in emergency laparotomy was associated with a significantly lower perioperative mortality rate. Checklist use in low-HDI countries was half that in high-HDI countries., This work was funded by DFID/MRC/Wellcome Trust Joint Global Health Trial Development Grant (MR/N022114/1). A National Institute for Health Research (NIHR) Global Health Research Unit Grant (NIHR 17-0799) is supporting the establishment of surgical research units in a subset of contributing low-income countries. The views expressed are those of the authors and not necessarily those of the National Health Service, NIHR or UK Department of Health and Social Care. The study funder had no role in study design, data collection, data analysis, data interpretation or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.
Published: 2019

49. Establishment of in-house assay for screening of anti-SARS-CoV-2 protein inhibitors.

Author: Emam MH, Mahmoud MI, El-Guendy N, and Loutfy SA
Abstract: Developing a potent antiviral agent to combat Coronavirus Disease-19 (COVID-19) is of critical importance as we may be at risk of the emergence of new virus strains or another pandemic recurrence. The interaction between the SARS-CoV-2 spike protein and Angiotensin Converting Enzyme 2 (ACE2) is the main protein-protein interaction (PPI) implicated in the virus entry into the host cells. Spike-ACE2 PPI represents a major target for drug intervention. We have repurposed a previously described protein-protein interaction detection method to be utilized as a drug screening assay. The assay was standardized using Chitosan nanoparticles (CNPs) as the drug and SARS-CoV-2 spike-ACE2 interaction as the PPI model. The assay was then used to screen four natural bioactive compounds: Curcumin (Cur), Gallic acid (GA), Quercetin (Q), and Silymarin (Sil), and their cytotoxicity was evaluated in vitro. Production of the spike protein and the evaluation of its activity in comparison to a standard commercial protein was part of our work as well. Here we describe a novel simple immunofluorescent screening assay to identify potential SARS-CoV-2 inhibitors that could assess the inhibitory effect of any ligand against any PPI., (© 2024. The Author(s).)
Published: 2024
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50. Effect of Adding Integrated Core and Graduated Upper Limb Exercises to Inpatient Cardiac Rehabilitation on Sternal Instability After Coronary Artery Bypass Grafting: A Randomized Controlled Trial.

Author: Mehani SHM, Helmy ZM, Ali HM, and Mohamed Mahmoud MI
Abstract: Objective: To evaluate the effect of adding integrated core and graduated resistance upper limb exercises to an inpatient cardiac rehabilitation program in patients with acute sternal instability after coronary artery bypass grafting (CABG)., Design: This was a single-center, randomized, controlled, parallel-group intervention study., Setting: This study was conducted at the National Heart Institute., Participants: Forty patients with post-CABG with sternal instability aged 50-60 years completed this study and were randomized into 2 groups: an intervention group (n=20) and an active control group (n=20)., Intervention: The intervention group (A) received a routine inpatient rehabilitation program from the first postoperative day plus integrated core and graduated resistance upper limb exercises, which started from the seventh postoperative day for approximately 4 weeks, whereas the control group (B) received only the routine inpatient rehabilitation program., Main Outcome Measures: Sternal separation measured by ultrasonography, visual analog scale for measuring pain, and activities of daily living (ADL) index were main outcome measures., Results: Patients in the intervention group (A) showed a significant reduction in sternal separation from the supine and long sitting positions, whereas those in the control group (B) showed a significant increase in sternal separation (P=.0001). Both groups showed a reduction in pain, and an increase in the ADL score was observed in group A. There was a significant interaction between the time and group effects (P=.0001)., Conclusion: Adding integrated core and graduated upper limb exercises to inpatient cardiac rehabilitation for patients with sternal instability after coronary artery bypass grafting significantly improved sternal healing, pain, and ADL., (Copyright © 2024 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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