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1. Seroprevalence of Varicella Zoster Virus Infection among Primary school Children In Northern Nigeria

Author

Bugaje MA, Yusuf H, Abdulkadir I, and Ahmed AA

Subjects
Medicine
Abstract

Background: Varicella Zoster infection occurs exclusively in man and commonly affects children with predilection for school age children. Following infection the course of the disease in immunocompetent children is often mild and self limited but in older age groups infection may be severe with poor outcomes ranging from complicating bacterial morbidities to death. In Kaduna State, Northern Nigeria the seroprevalence ofVaricella - zoster virus (VZV) infection is unknown The current cross - sectional study was conducted to assess the seroprevalence of VZV infection among nursery and primary school pupils in Kaduna State. Methods: Nursery and primary school pupils between the ages 4 and 15 years were randomly selected from the three geopolitical z o n e s o f Ka d u n a S t a t e . Demographic data on each subject were obtained by administration of a questionnaire and blood samples were collected for serum analysis of Varicella - zoster virus immunoglobulin G (IgG) using the Automat ion ELISA IgGKi t manufactured by Automation INC. USA. Data obtained were summarized using percentages and frequency tables. Results were analyzed using Epi- info version 3.0. Results: Three hundred and fifty three pupils were recruited for the study. The overall prevalence rate for VZV infection was 66.3% with the value in males being 68.5% and in females 63.9%. The prevalence of VZVinfection increased with age in both sexes. A high percentage of children (60%) were seropositive at 4-6 years. Conclusion:The study shows a 66.3% prevalence of VZV infection among children in Kaduna State. This high prevalence rate necessitates further studies to establish the burden of the problem in Nigeria and rationalize the institution of preventive measures against the infection, particularly immunocompromi sed young children.

Published
2024

2. How Synthesis of Algal Nanoparticles Affects Cancer Therapy? – A Complete Review of the Literature

Author

El-Sheekh MM, AlKafaas SS, Rady HA, Abdelmoaty BE, Bedair HM, Ahmed AA, El-Saadony MT, AbuQamar SF, and El-Tarabily KA

Subjects
algae, metabolites, cancer therapy, green synthesis, medical applications, nanoparticles, Medicine (General), R5-920
Abstract

Mostafa M El-Sheekh,1 Samar Sami AlKafaas,2 Hadeer A Rady,1 Bassant E Abdelmoaty,2 Heba M Bedair,1 Abdelhamid A Ahmed,3 Mohamed T El-Saadony,4 Synan F AbuQamar,5 Khaled A El-Tarabily5 1Botany Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt; 2Molecular Cell Biology Unit, Division of Biochemistry, Chemistry Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt; 3Plastic Surgery Department, Faculty of Medicine, Tanta University, Tanta, 31527, Egypt; 4Department of Agricultural Microbiology, Faculty of Agriculture, Zagazig University, Zagazig, 44511, Egypt; 5Department of Biology, College of Science, United Arab Emirates University, Al Ain, 15551, United Arab EmiratesCorrespondence: Synan F AbuQamar; Khaled A El-Tarabily, Department of Biology, College of Science, United Arab Emirates University, Al Ain, 15551, United Arab Emirates, Tel +971 3 713 6733 ; +971 3 713 6518, Fax +971 3 713 4927, Email sabuqamar@uaeu.ac.ae; ktarabily@uaeu.ac.aeAbstract: The necessity to engineer sustainable nanomaterials for the environment and human health has recently increased. Due to their abundance, fast growth, easy cultivation, biocompatibility and richness of secondary metabolites, algae are valuable biological source for the green synthesis of nanoparticles (NPs). The aim of this review is to demonstrate the feasibility of using algal-based NPs for cancer treatment. Blue-green, brown, red and green micro- and macro-algae are the most commonly participating algae in the green synthesis of NPs. In this process, many algal bioactive compounds, such as proteins, carbohydrates, lipids, alkaloids, flavonoids and phenols, can catalyze the reduction of metal ions to NPs. In addition, many driving factors, including pH, temperature, duration, static conditions and substrate concentration, are involved to facilitate the green synthesis of algal-based NPs. Here, the biosynthesis, mechanisms and applications of algal-synthesized NPs in cancer therapy have been critically discussed. We also reviewed the effective role of algal synthesized NPs as anticancer treatment against human breast, colon and lung cancers and carcinoma.Keywords: algae, metabolites, cancer therapy, green synthesis, medical applications, nanoparticles

Published
2023

3. Practical Guide to Undergraduate Medical Curriculum Alignment and Mapping

Author

Mahzari M, AlNahedh T, Ahmed AA, Al Rumyyan A, Shaban S, and Magzoub ME

Subjects
curriculum, mapping, learning outcomes, Special aspects of education, LC8-6691, Medicine (General), R5-920
Abstract

Moeber Mahzari,1– 3 Taghreed AlNahedh,1,4 Altayeb Abdalla Ahmed,2,4 Ahmed Al Rumyyan,2,5,6 Sami Shaban,7 Mohi Eldin Magzoub7 1Department of Medicine, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; 2King Abdullah International Medical Research Center, Riyadh, Saudi Arabia; 3Department of Medicine, Ministry of the National Guard - Health Affairs, Riyadh, Saudi Arabia; 4Department of Basic Medical Sciences, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; 5Department of Pediatrics, College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; 6Department of Pediatrics, Ministry of the National Guard - Health Affairs, Riyadh, Saudi Arabia; 7Department of Medical Education, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab EmiratesCorrespondence: Moeber Mahzari, King Saud bin Abdulaziz University for Health Sciences, King Abdulaziz Medical City, National Guard Health Affairs, Mail Code 3130, P.O. Box 3660, Riyadh, 11481, Saudi Arabia, Tel +966 11 429 5335, Email moeber@hotmail.com; mahzarim@ksau-hs.edu.saObjective: Curriculum development and reviews are of paramount importance for academic programs curriculum management. Medical curricula need proper construction and frequent updates to suits learning outcomes considering their integrative nature and rapid scientific advancement. Curriculum alignment and mapping are fundamental for proper integration and planning of medical curriculum. This process is beneficial in detecting gaps and redundancies, and ensuring proper instruction, integration, and transparency. However, there is a paucity in the literature of a practical guidance to such process. Hence, this manuscript provides a practical guidance that was adopted in our institutes.Methods: A detailed description of twelve step-by-step guidance to curriculum alignment and mapping was provided. The process needed for each step and the flow chart of work was detailed.Results: This guide was developed and implemented successfully. Among many benefits encountered, many gaps in the contents, learning outcomes and assessment methods were detected and rectified. Additionally, better curriculum integration has been achieved. The current mapping will make any future curriculum reviews easier.Conclusion: This guide could be utilized by newly developed and existing programs for curriculum alignment and mapping. It fills a gap in academic literature through stepwise workflow which has been tested and implemented.Keywords: curriculum, mapping, learning outcomes

Published
2023

4. Intimate Partner Violence During Pregnancy and Maternal Morbidity in South Ethiopia: A Cohort Study

Author

Utaile MM, Ahmed AA, and Yalew AW

Subjects
intimate partner, violence, morbidity, cohort, ethiopia, Medicine (General), R5-920
Abstract

Mesfin Mamo Utaile,1,2 Ahmed Ali Ahmed,2 Alemayehu Worku Yalew2 1Department of Public Health, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia; 2Department of Preventive Medicine, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, EthiopiaCorrespondence: Mesfin Mamo Utaile, Tel +251 911 92 79 89, Email mefirich2007@yahoo.comPurpose: Intimate partner violence during pregnancy is a universal public health problem. However, its link with maternal morbidity is not well understood in Ethiopia. Thus, the study assessed its effect on maternal morbidity during delivery and postpartum in South Ethiopia.Methods: A prospective cohort study was conducted among 1535 pregnant women. Pregnant women with intimate partner violence during pregnancy were enrolled as the “exposed group”, and pregnant women without intimate partner violence were registered as the “unexposed group”. A total of 711 exposed and 774 unexposed women were included in the analysis of this study. Data were collected using an interviewer-administered questionnaire. Data entry and analysis were done in STATA Version 14. A generalized linear model with a log link function using the binreg command was applied to examine the effect of intimate partner violence on maternal morbidity.Results: The level of maternal morbidity during delivery and postpartum was higher among women with intimate partner violence than women without intimate partner violence (34.0% vs 26.6%). After adjusting for confounders, women with intimate partner violence during pregnancy were more likely to experience maternal morbidity than women without intimate partner violence (aRR=4.45; 95% CI: 3.15, 6.28). Psychological violence was also identified as a risk factor for maternal morbidity (aRR=2.17; 95% CI: 1.76, 2.67). Likewise, women with physical violence were more likely to experience maternal morbidity than those without physical violence (aRR=1.31; 95% CI: 1.12, 1.53).Conclusion: The current study demonstrated a higher level of maternal morbidity among women with intimate partner violence. Psychological violence, physical violence, and intimate partner violence during pregnancy were found to increase the risk of maternal morbidity. Strengthening the prevention and prompt management of intimate partner violence during pregnancy may significantly reduce the incidence of maternal morbidity.Keywords: intimate partner, violence, morbidity, cohort, Ethiopia

Published
2023

5. Analysis of Serum Immune Markers in Seropositive and Seronegative Rheumatoid Arthritis Among Sudanese Patients and the Relation Between the Serotype and Joint Involvement: A Cohort Study

Author

Seri A, Kamal Ali Mohamed H, Adam Essa ME, Elagib EM, Eltahirm NIA, Mansour SMA, and Ahmed AA

Subjects
seropositive, seronegative, ra, female and high disease activity, Diseases of the musculoskeletal system, RC925-935
Abstract

Ahmed Seri,1,2 Hala Kamal Ali Mohamed,3– 5 Mohammed Elmujtba Adam Essa,6 Elnour Mohammed Elagib,7,8 Noha Ibrahim Ahmed Eltahirm,7,8 Salma Mohammed Alfatih Mansour,9 Abdelkareem A Ahmed6 1Department of Clinical Immunology, Royal Care International Hospital, Khartoum, Sudan; 2Department of Immunology, Institute of Endemic Disease, University of Khartoum, Khartoum, Sudan; 3Department of Microbiology, Faculty of Medicine, African International University (AIU), Khartoum, Sudan; 4Department of Clinical Immunology, Sudan Medical Specialization Board (SMSB), Khartoum, Sudan; 5Faculty of Medicine, Sudan University of Science and Technology, Khartoum, Sudan; 6Department of Clinical Medicine, Medical and Cancer Research Institute, Nyala, Sudan; 7Department of Rheumatology, Omdurman Military Hospital, Khartoum, Sudan; 8Department of Medicine, Faculty of Medicine, Karary University, Khartoum, Sudan; 9Department of Medicine, Faculty of Medicine, University of Khartoum, Khartoum, SudanCorrespondence: Mohammed Elmujtba Adam EssaDepartment of Clinical Medicine, Medical and Cancer Research Institute, Nyala, SudanTel +249 90700938Email Awadali818@yahoo.comIntroduction: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation of the synovial membrane. RA is classified as seropositive or seronegative, according to the absence or presence of primarily IgM RF, RF, and/or ACPA. The aim of this study is to identify the relationship between the serotype of rheumatoid arthritis and the level of ESR.Methods and Materials: This is a descriptive, cross-sectional study done in Omdurman military hospital, Khartoum, Sudan. Conducted with 60 patients with RA, data were collected through a designated questionnaire which included demographic, age, gender, duration of the disease, laboratory finding. All the patients in the study were treated with conventional DMARDs and diagnosed according to the 2010 ACR/EULAR criteria; their disease activity status was assessed by DAS28/ESR. Data were analyzed using SPSS version 23.Results: The study found that 91.7% of the patients were females, patients of age group between 36 and 50 years had the highest percentage at 38.3% followed by those between 51 and 70 years and the least age group between 20 and 35 years, 36.7% and 15%, respectively. Of all the patients 61.7% were found to be SPRA, while the remaining 38.3% were seronegative (SNRA). Altogether 55% of the patients had moderate disease activity, followed by 16.7% who had a remission, 15% had high disease activity and the remaining 13.3% had low disease activity. The metacarpophalangeal (MCP) joint was found to be the only joint that was significantly associated with DAS28 and its involvement was greater among seropositive patients. The most affected joints were found to be shoulders, knees, wrist, MCP, PIP and elbow, in that order.Conclusion: Females, middle-age group and shoulder joint were the most affected. Most RA was found to be SPRA, and the seropositive group was found to be more associated with high disease activity, while the seronegative group was associated with remission and low disease activity.Keywords: seropositive, seronegative, RA, female, high disease activity

Published
2021

6. Antibiogram and Genetic Characterization of Carbapenem-Resistant Gram-Negative Pathogens Incriminated in Healthcare-Associated Infections

Author

Makharita RR, El-kholy I, Hetta HF, Abdelaziz MH, Hagagy FI, Ahmed AA, and Algammal AM

Subjects
gram-negative rods, antibiotic resistance, carbapenem-resistance, blakpc, blages, 16s rrna gene, Infectious and parasitic diseases, RC109-216
Abstract

Rabab R Makharita,1,2 Iman El-kholy,3 Helal F Hetta,4,5 Moahmed H Abdelaziz,2 Fatma I Hagagy,2 Amera A Ahmed,2,6 Abdelazeem M Algammal7 1Biology Department, Faculty of Science and Arts, University of Jeddah, Khulais, Jeddah, Saudi Arabia; 2Botany Department, Faculty of Science, Suez Canal University, Ismailia 41522, Egypt; 3Ain Shams Specialized Hospital, Faculty of Medicine, Ain Shams University, Cairo 11556, Egypt; 4Department of Medical Microbiology and Immunology, Faculty of Medicine, Assuit University, Assuit 71515, Egypt; 5Department of Internal Medicine, University of Cincinnati, College of Medicine, Cincinnati, OH 45267-0595, USA; 6Ministry of National Guard, Health Affairs, King Abdulaziz Medical City, Jeddah, Saudi Arabia; 7Department of Bacteriology, Immunology and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, EgyptCorrespondence: Rabab R MakharitaBotany Department, Faculty of Science, Suez Canal University, Ismailia 41522, EgyptEmail rabab_makharita@science.suez.edu.egAbdelazeem M AlgammalDepartment of Bacteriology, Immunology and Mycology, Faculty of Veterinary Medicine, Suez Canal University, Ismailia 41522, EgyptTel +201010667290Email abdelazeem.algammal@vet.suez.edu.egPurpose: Carbapenems are considered the most efficient antibiotic used in the treatment of nosocomial infections. Carbapenem-resistant Gram-negative rods are becoming a serious hazard in hospitals threatening public health. The aim of the current study was to investigate the prevalence of carbapenem-resistant Gram-negative pathogens incriminated in healthcare-associated infections, along with antimicrobial resistance profiles, carbapenemase and metallo-β-lactamase production, and their molecular characterization.Methods: A total of 186 clinical specimens were collected from 133 patients at various hospitals in Cairo, Egypt. The obtained specimens were subjected to bacteriological examination, antimicrobial susceptibility testing, detection of carbapenemase production using the modified Hodge test (MHT), the metallo-β-lactamase production using the EDTA combined disc test (CDT), and PCR-based detection of the blaKPC and blaGES resistance genes. The identification of the highly resistant retrieved isolates was then confirmed by 16S rRNA gene sequencing.Results: The most common isolated Gram-negative species was Klebsiella pneumoniae (40.9%), followed by Acinetobacter baumannii (18.8%), Pseudomonas aeruginosa (17.3%), Escherichia coli (15.4%), Enterobacter aerogenes (5.3%), and Proteus mirabilis (2.4%). The prevalence of carbapenem-resistant isolates was 36.1% (n=75). However, 86.5% of the recovered clinical isolates were susceptible to colistin. The MHT revealed that 33.6% (n=70) of the tested strains were positive for carbapenemase production, while the CDT showed that 33.17% (n=69) of the examined strains were metallo-β-lactamase producers. The PCR revealed that 98.6% (74/75) of the tested strains possessed the blaKPC gene; moreover, 97.3% (73/75) of the examined strains harbored the blaGES gene.Conclusion: This study displayed the emergence of carbapenem-resistant Gram-negative pathogens incriminated in healthcare-associated infections. The accurate identification of carbapenem-resistant bacterial pathogens is pivotal for the treatment of patients, in addition to propelling appropriate contamination control measures to restrain the fast spread of such pathogens. Colistin showed a potent in vitro antimicrobial activity against the carbapenem-resistant strains.Keywords: gram-negative rods, antibiotic resistance, carbapenem-resistance, blaKPC, blaGES, 16S rRNA gene

Published
2020

7. Length of Stay in the Emergency Department and Its Associated Factors at Jimma Medical Center, Southwest Ethiopia

Author

Ahmed AA, Ibro SA, Melkamu G, Seid SS, and Tesfaye T

Subjects
emergency department, length of stay, prolonged stay., Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

Abdulwahid Awol Ahmed,1 Shemsedin Amme Ibro,1 Gemechis Melkamu,2 Sheka Shemsi Seid,1 Temamen Tesfaye1 1School of Nursing and Midwifery, Jimma University, Jimma, Oromia Region, Ethiopia; 2School of Medicine, Jimma University, Jimma, Oromia Region, EthiopiaCorrespondence: Abdulwahid Awol AhmedJimma University, P.O. Box-378, Jimma, Oromia Region, EthiopiaTel +251933824284Email abdiiawol@gmail.comBackground: Prolonged emergency department stays can adversely affect patient outcomes leading to an increased length of hospital admission and higher mortality. Despite this fact, there are few data describing emergency department length of stay and associated factors in Ethiopia.Objective: To assess length of stay in the emergency department and its associated factors among patients visited adult emergency department of Jimma Medical Center, Jimma town, southwest of Ethiopia.Methods: Institution-based cross-sectional study was conducted from April 9, 2018 to May 11, 2018. Overall, 422 patients presented during study period were sequentially included in the study. A semi-structured questionnaire was used to collect data through interview, observation and medical record review. The collected data were cleaned, entered to Epi-data 3.1 and exported to SPSS version 21 for binary and multivariable logistic regression analysis. To identify factors associated with outcome variable, candidate variables were fitted to multivariable analysis, and those with P-values < 0.05 were considered as significantly associated.Results: More than one-third, 162 (38.4%), experienced prolonged length of stay in the emergency department. The odds of prolonged stay were higher among rural area residency (AOR, 3.0; CI, 1.279– 7.042), evening presentation (AOR, 4.25; CI, 1.742– 10.417), and night-time presentation (AOR, 14.93; CI, 4.22– 52.63), and having at least one diagnostic investigation (AOR, 4.48; CI, 1.69– 11.88). However, participants who did not experience shift changes of nurses during their stay (AOR, 0.003; CI, 0.001– 0.010) had a less prolonged stay.Conclusion: A significant proportion of patients experienced a prolonged stay at the emergency department. Age, rural residency, evening and night-time presentation, shift change and having a diagnostic investigation were predictors of prolonged stay. Thus, establishing time-targeted service for patients can reduce the length of stay.Keywords: emergency department, length of stay, prolonged stay

Published
2020

8. Lightning Injury to Eye: Brief Review of the Literature and Case Series

Author

Pradhan E, Khatri A, Ahmed AA, Lama AJ, Khanal R, Bajracharya L, and Adhikari S

Subjects
lightning injuries, ophthalmology, lightning, eye, cataract, uveitis, keratitis, Ophthalmology, RE1-994
Abstract

Eli Pradhan,1 Anadi Khatri,2 Akwasi Agyeman Ahmed,3 Ang Jangmu Lama,4 Roshija Khanal,5 Leena Bajracharya,6 Srijana Adhikari7 1Department of Medical Retina, Tilganga Institute of Ophthalmology, Tilganga, Kathmandu, Nepal; 2Department of Vitreo-Retina Services, Birat Eye Hospital, Biratnagar, Nepal; 3Department of Ophthalmology, Komfo Anokye Teaching Hospital, Kumasi, Ghana; 4Department of Paediatric Ophthalmology, Tilganga Institute of Ophthalmology, Kathmandu, Nepal; 5Department of Vitreo Retina Services, ASG Hospitals, Kathmandu, Nepal; 6Department of Ophthalmology, Tilganga Institute of Ophthalmology, Kathmandu, Nepal; 7Department of Pediatric Ophthalmology and Strabismus, Tilganga Institute of Ophthalmology, Kathmandu, NepalCorrespondence: Anadi KhatriDepartment of Vitreo-Retina Services, Birat Eye Hospital, Biratnagar, NepalTel +9779841767205Email anadikc@gmail.comPurpose: In ophthalmology, injuries due to lightning strikes have been documented as various entities ranging from keratitis, cataracts, uveitis in the anterior segments to retinal detachments, papillitis, and macular hole formation in the posterior segment. We report the largest case series so far with a total of seven cases of lightning injuries with ocular involvement and its management and a brief review of the literature on this topic.Patients and Methods: All of the patients were evaluated for ocular injuries due to a lightning strike and each of the cases has been individually described as case series with their findings and management in this report.Results: Ocular injuries caused by lightning are very rare, but when they occur, they can present with various ocular tissue pathology-ranging from anterior to the posterior segment structures. Most of the cases presented with maculopathy and foveschitic lesions, which resolved over time with the use of steroids.Conclusion: Lightning injuries to the eyes, if detected early and managed appropriately, have a very good prognosis. The recovery is usually good with minimal functional loss if there is a quick referral. The macular region seems to be particularly involved in most cases and OCT can be a valuable diagnostic tool to detect and monitor the pathology.Keywords: lightning injuries, ophthalmology, lightning, eye, cataract, uveitis, keratitis

Published
2020

9. Causes and factors associated with neonatal mortality in Neonatal Intensive Care Unit (NICU) of Jimma University Medical Center, Jimma, South West Ethiopia

Author

Seid SS, Ibro SA, Ahmed AA, Olani Akuma A, Reta EY, Haso TK, and Fata GA

Subjects
causes, neonate, mortality, Jimma, Ethiopia, NICU, Pediatrics, RJ1-570
Abstract

Sheka Shemsi Seid, Shemsedin Amme Ibro, Abdulwahid Awol Ahmed, Adugna Olani Akuma, Ebrahim Yimam Reta, Tura Koshe Haso, Gutema Ahmed FataSchool of Nursing and Midwifery, Faculty of Health Sciences, Institute of Health, Jimma University, Jimma, EthiopiaBackground: The neonatal period is the most susceptible phase of life. In Ethiopia changes in neonatal mortality are not as significant as changes in post-neonatal and child mortality. The aim of this study was to assess the causes and factors associated with neonatal mortality at Jimma Medical Center.Materials and methods: A cross-sectional study was conducted for 11 days from February 12, 2018 at the Neonatal ICU of Jimma Medical Center. Data were extracted from the medical records of neonates admitted during a three year period from September 07, 2014 to August 31, 2017, using pretested checklists. Bivariate and multivariate logistic regressions were used to determine factors associated with neonatal mortality and P-values

Published
2019

10. The unlimited potential of the great pond snail, Lymnaea stagnalis

Author

István Fodor, Ahmed AA Hussein, Paul R Benjamin, Joris M Koene, and Zsolt Pirger

Subjects
pond snail, Lymnaea stagnalis, natural history, neuroscience, exotoxicology, evolution, Medicine, Science, Biology (General), QH301-705.5
Abstract

Only a limited number of animal species lend themselves to becoming model organisms in multiple biological disciplines: one of these is the great pond snail, Lymnaea stagnalis. Extensively used since the 1970s to study fundamental mechanisms in neurobiology, the value of this freshwater snail has been also recognised in fields as diverse as host–parasite interactions, ecotoxicology, evolution, genome editing and 'omics', and human disease modelling. While there is knowledge about the natural history of this species, what is currently lacking is an integration of findings from the laboratory and the field. With this in mind, this article aims to summarise the applicability of L. stagnalis and points out that this multipurpose model organism is an excellent, contemporary choice for addressing a large range of different biological questions, problems and phenomena.

Published
2020
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11. Engraftment of donor mesenchymal stem cells in chimeric BXSB includes vascular endothelial cells and hepatocytes

Author

Jones OY, Gok F, Rushing EJ, Horkayne-Szakaly I, and Ahmed AA

Subjects
Cytology, QH573-671
Abstract

Olcay Y Jones1, Faysal Gok2, Elisabeth J Rushing3, Iren Horkayne-Szakaly4, Atif A Ahmed51Department of Pediatrics, Walter Reed National Military Medical Center, Bethesda, MD, USA; 2Department of Pediatrics, Gulhane Military Medical Academy, Ankara, Turkey; 3Institut für Neuropathologie, Universitäts Spital Zürich, Zürich, Switzerland; 4Department of Neuropathology, Armed Forces Institute of Pathology, Washington, DC, USA; 5Department of Pathology and Laboratory Medicine, Children's Mercy Hospitals and Clinics, Kansas City, MO, USAAbstract: Somatic tissue engraftment was studied in BXSB mice treated with mesenchymal stem cell transplantation. Hosts were conditioned with nonlethal radiation prior to introducing donor cells from major histocompatibility complex-matched green fluorescent protein transgenic mice. Transplant protocols differed for route of injection, ie, intravenous (i.v.) versus intraperitoneal (i.p.), and source of mesenchymal stem cells, ie, unfractionated bone marrow cells, ex vivo expanded mesenchymal stem cells, or bone chips. Tissue chimerism was determined after short (10–12 weeks) or long (62 weeks) posttransplant follow-up by immunohistochemistry for green fluorescent protein. Engraftment of endothelial cells was seen in several organs including liver sinusoidal cells in i.v. treated mice with ex vivo expanded mesenchymal stem cells or with unfractionated bone marrow cells. Periportal engraftment of liver hepatocytes, but not engraftment of endothelial cells, was found in mice injected i.p. with bone chips. Engraftment of adipocytes was a common denominator in both i.v. and i.p. routes and occurred during early phases post-transplant. Disease control was more robust in mice that received both i.v. bone marrow and i.p. bone chips compared to mice that received i.v. bone marrow alone. Thus, the data support potential use of mesenchymal stem cell transplant for treatment of severe lupus. Future studies are needed to optimize transplant conditions and tailor protocols that may in part be guided by fat and endothelial biomarkers. Furthermore, the role of liver chimerism in disease control and the nature of cellular communication among donor hematopoietic and mesenchymal stem cells in a chimeric host merit further investigation.Keywords: lupus, mice, mesenchymal stem cells, endothelial cells, liver

Published
2011

12. Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study

Author

Glasbey, James, Ademuyiwa, Adesoji, Adisa, Adewale, AlAmeer, Ehab, Arnaud, Alexis P, Ayasra, Faris, Azevedo, José, Minaya-Bravo, Ana, Costas-Chavarri, Ainhoa, Edwards, John, Elhadi, Muhammed, Fiore, Marco, Fotopoulou, Christina, Gallo, Gaetano, Ghosh, Dhruva, Griffiths, Ewen A, Harrison, Ewen, Hutchinson, Peter, Lawani, Ismail, Lawday, Samuel, Lederhuber, Hans, Leventoglu, Sezai, Li, Elizabeth, Gomes, Gustavo Mendonça Ataíde, Mann, Harvinder, Marson, Ella J, Martin, Janet, Mazingi, Dennis, McLean, Kenneth, Modolo, Maria, Moore, Rachel, Morton, Dion, Ntirenganya, Faustin, Pata, Francesco, Picciochi, Maria, Pockney, Peter, Ramos-De la Medina, Antonio, Roberts, Keith, Roslani, April Camilla, Kottayasamy Seenivasagam, Rajkumar, Shaw, Richard, Simões, Joana Filipa Ferreira, Smart, Neil, Stewart, Grant D, Sullivan, Richard, Sundar, Sudha, Tabiri, Stephen, Taylor, Elliott H, Vidya, Raghavan, Nepogodiev, Dmitri, Bhangu, Aneel, Glasbey, James C, Bhangu, Aneel A, Siaw-Acheampong, Kwabena, Benson, Ruth A, Bywater, Edward, Chaudhry, Daoud, Dawson, Brett E, Evans, Jonathan P, Gujjuri, Rohan R, Heritage, Emily, Jones, Conor S, Kamarajah, Sivesh K, Khatri, Chetan, Khaw, Rachel A, Keatley, James M, Knight, Andrew, Mann, Harvinder S, McLean, Kenneth A, Mckay, Siobhan C, Mills, Emily C, Pellino, Gianluca, Tiwari, Abhinav, Simoes, Joana FF, Trout, Isobel M, Venn, Mary L, Wilkin, Richard JW, Smart, Neil J, Moug, Susan, Di Saverio, Salomone, Vallance, Abigail, Vimalchandran, Dale, Evans, Richard PT, Townend, Philip, McKay, Siobhan, Isaac, John, Satoi, Sohei, Coonar, Aman S, Marchbank, Adrian, Caruana, Edward J, Layton, Georgia R, Patel, Akshay, Brunelli, Alessandro, Ford, Samuel, Desai, Anant, Gronchi, Alessandro, Almond, Max, Tirotta, Fabio, Dumitra, Sinziana, Kolias, Angelos, Price, Stephen J, Fountain, Daniel M, Jenkinson, Michael D, Marcus, Hani J, Piper, Rory J, Lippa, Laura, Servadei, Franco, Esene, Ignatius, Freyschlag, Christian, Neville, Iuri, Rosseau, Gail, Schaller, Karl, Demetriades, Andreas K, Robertson, Faith, Alamri, Alex, Schache, Andrew G, Winter, Stuart C, Ho, Michael, Nankivell, Paul, Rey Biel, Juan, Batstone, Martin, Ganly, Ian, Wilkins, Alex, Singh, Jagdeep K, Thekinkattil, Dinesh, Leung, Elaine YL, Khan, Tabassum, Chiva, Luis, Sehouli, Jalid, Fagotti, Anna, Cohen, Paul, Gutelkin, Murat, Ghebre, Rahel, Konney, Thomas, Pareja, Rene, Bristow, Rob, Dowdy, Sean, Shylasree, TS, Ng, Joe, Fujiwara, Keiichi, Lamb, Benjamin, Narahari, Krishna, McNeill, Alan, Colquhoun, Alexandra, McGrath, John S, Bromage, Steve, Barod, Ravi, Kasivisvanathan, Veeru, Klatte, Tobias, Abbott, Tom EF, Abukhalaf, Sadi, Adamina, Michel, Ademuyiwa, Adesoji O, Agarwal, Arnav, Akkulak, Murat, Alameer, Ehab, Alderson, Derek, Alakaloko, Felix, Albertsmeier, Markus, Alser, Osaid, Alshaar, Muhammad, Alshryda, Sattar, Augestad, Knut Magne, Bankhead-Kendall, Brittany K, Barlow, Emma, Beard, David, Blanco-Colino, Ruth, Brar, Amanpreet, Breen, Kerry A, Bretherton, Chris, Buarque, 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Ssentongo, A, Ssentongo, P, Bhama, A, Colling, K, Najarian, M, Azam, M, Choudhry, A, Marx, W, Abedin, Y, Arzumanov, G, Chokshi, R, Gabrilovich, S, Glass, N, Kalyoussef, E, Parvin-Nejad, FP, Roden, D, Stein, J, Suarez-Ligon, A, Tsui, G, Zhao, K, Fleming, J, Fuson, A, Gigliotti, J, Ovaitt, A, Ying, Y, Abel, MK, Andaya, V, Bigay, K, Boeck, MA, Chern, H, Corvera, C, El-Sayed, I, Glencer, A, Ha, P, Hamilton, BCS, Heaton, C, Hirose, K, Jablons, DM, Kirkwood, KS, Kornblith, LZ, Kratz, JR, Lee, RH, Miller, PN, Nakakura, EK, Nunez-Garcia, B, O'Donnell, RJ, Ozgediz, D, Park, P, Robinson, B, Sarin, A, Sheu, B, Varma, MG, Wai, KC, Wustrack, R, Xu, MJ, Zimel, M, Beswick, D, Goddard, J, Manor, J, Song, J, Cioci, A, Pavlis, W, Rakoczy, K, Ruiz, G, Saberi, R, Fullmer, T, Gaskill, C, Gross, N, Kiong, K, Roland, CL, Zafar, SN, Abdallah, M, Abouassi, A, Aigbivbalu, E, Eid, J, George, B, Kulkarni, G, Marwan, H, Mehdi, M, San Andrés, M, Sundaresan, J, Aoun, SG, Ban, VS, Batjer, HH, Bosler, K, Caruso, J, Sumer, B, Abbott, D, Acher, A, Aiken, T, Barrett, J, Foley, E, Schwartz, PB, Hawkins, AT, Maiga, A, Ruzgar, NM, Sion, M, Ullrich, S, Laufer, J, Scasso, S, Al-Naggar, H, Al-Shehari, M, Almassaudi, A, Alsayadi, M, Alsayadi, R, Nahshal, M, Shream, S, AL-Ameri, S, and Aldawbali, M

Published
2021
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13. Warfarin and Polypharmacy Challenges in Sudan: Drug Interactions in Patient Cohort.

Author

Omer, Ahmed AA, Elsiddig, Abdal Mahmoud, and Taj, Imad M

Subjects
ORAL medication, MEDICAL personnel, DRUG interactions, CARDIOVASCULAR agents, WARFARIN
Abstract

Purpose: Warfarin plays an important role in anticoagulation therapy despite the availability of the newest oral anticoagulants, and achieving optimal anticoagulation is challenging due to its narrow therapeutic range and variable dose. This study aimed to highlight polypharmacy and drug interactions in patients receiving warfarin therapy at Medani Heart Centre, Sudan. Methods: This retrospective hospital-based study was conducted from May 2017 to October 2018. Each concurrent medication prescribed for 104 patients was collected and checked for drug-drug interactions using Medscape Reference-Drug Interaction Checker. The data were analysed by using SPSS 20, and descriptive statistics were used. Results: The results revealed that 95.2% of patients had more than three medications in their profile, (3– 5), (6– 9) and more than 10 medications were prescribed for 40.4%, 44.2% and 10.6% of patients, respectively. A total of 93.3% of patients had drug-drug interactions, as follows: (1– 5), (6– 10), (11– 15), (16– 20) and more than 20 drug-drug interactions were found in 31.7%, 32.7%, 19.2%, 5.8% and 3.8% of patients, respectively. A total of 178 warfarin-drug interactions were identified in 88.5% of the patients. The INR ranged between 2 and 2.99 in 13.4% of patients, and INR values below 2 and above 5 were found in 44.2% and 21.2% of patients, respectively. Analgesics (n=54; 30.3%), cardiovascular drugs (n=51; 28.6%), and anticoagulants (n=46; 25.8%) were the most common drug classes that interact with warfarin. Significant and serious types of interactions with warfarin were found in 51% and 37.5% of patients, respectively. Conclusion: This study highlights the complexity of managing warfarin therapy amid prevalent polypharmacy. A substantial majority of patients experienced multiple drug interactions. The identification of significant and serious interactions emphasizes the need for vigilant management strategies, including improved communication among healthcare professionals and targeted education for both providers and patients, to enhance the safety and efficacy of warfarin therapy. [ABSTRACT FROM AUTHOR]

Published
2024
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14. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Author

Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Glasbey, James C, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Li, Elizabeth, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Nepogodiev, Dmitri, Norman, Lisa, Ots, Riinu, Outani, Oumaima, Picciochi, Maria, Santos, Irène, Shaw, Catherine, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, Xu, William, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Modolo, Maria Marta, Cox, Daniel, Pockney, Peter, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Padmore, Greg, van Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Baiocchi, Glauco, Gomes, Gustavo Mendonça Ataíde, Lima Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Brar, Amanpreet, Martin, Janet, Ng-Kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong-Lin, Calvache, Jose Andres, Perez Rivera, Carlos J-, Danic Hadzibegovic, Ana, Kopjar, Tomislav, 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abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Ben Amer, Anass, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Ben jouira, Rayet al islam, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Roslani, April Camilla, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Nashidengo, Pueya Rashid, Noltes, Milou, Steinkamp, Pieter, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, Kieser, David, Mohyieldin, Omar, Varghese, Chris, McIntosh, Nick, Haran, Cheyaanthan, Rennie, Sarah, King, Jasmin, Ha, Jeong, McGuinness, Matthew James, Adesanya, Opeoluwa, Olaogun, Julius, Akinmade, Akinola, Bwala, Kefas, Agbonrofo, Peter, Afolabi, Akinwale, Usang, Usang, Ekenze, Sebastian, Olori, Samson, Lawal, Taiwo Akeem, Seyi-Olajide, Justina, Okunlola, Abiodun, Williams, Omolara, Adisa, Adewale, Abdur-Rahman, Lukman, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty-John, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Pejkova, Sofija, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Usman Malik, Muhammad, Yaqoob, Hassan Nawaz, Cukier, Moises, Falcon Pacheco, Glenda Marina, Mas Melendez, Robinson, Paucar Urbina, Arazzelly Del Pilar, Rios Chiuyari, Jose, Otiniano Alvarado, Carlos Eduardo, Fuentes Rivera Lau, Lorena, Borda-Luque, Giuliano, Niquen-Jimenez, Milagros, Arias, Claudia, Zegarra, Sergio, Betalleluz Pallardel, Jenner, Ugarte Oscco, Regina Amparo, Mendiola, Gian, Carpio Colmenares, Yahaira Tatiana, Shiraishi Zapata, Carlos, Ortiz, Maria Rosa, Sacdalan, Marie Dione, Major, Piotr, Castro Borges, Filipe, Viveiros, Octavio, Serralheiro, Pedro, Santos-Costa, Paulo, Mendes, Filipa, Rocha Melo, Miguel, Cardoso, Paulo, Soares, Ana, Azevedo, José, Gonçalves Pereira, Rita, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida-Reis, Rui, Cunha, Miguel F., Oliveira, João, Nogueiro, Jorge, Sampaio-Alves, Mafalda, Cidade Costa, Luciana, Baía, Catarina, Deus, Ana Cláudia, Branquinho, Rita, Marçal, André, Tojal, André, Makkai-Popa, Silviu Tiberiu, Mironescu, Aurel, Grama, Florin, Toma, Elena Adelina, Negoi, Ionut, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Bonci, Eduard-Alexandru, Dimofte, Mihail-Gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Litvin, Andrey, Pykhteev, Vadim, Raevskaya, Marianna, Efetov, Sergey, Butyrskii, Aleksandr, Alshahrani, Mushabab, Althumairi, Azah, Alzerwi, Nasser, Al Ameer, Ahmed, Madkhali, Tariq, Abddulrahman, Ghazwani, Salman, Ayoub, Abdu, Iskander, Othman, Ghunaim, Mohammed, Alharthi, Mohammed, Alzaidi, Turki M, Alyami, Mohammad, Al Amri, Abdulrahman, AlFakhri, Abdullah, Alhefdhi, Amal, Chowdhury, Sharfuddin, Nouh, Thamer, Alshehri, Ameen, Alzahrani, Abdulrahman, Alalawi, Dr Yousef, Awad, Selmy, Konate, Ibrahima, Ndong, Abdourahmane, Tendeng, Jacques, Teo, Nan Zun, Koh, Frederick, Košir, Jurij Aleš, Bele, Uros, Aqil, Sabra, Barrena López, Cristina, Sánchez Mozo, Ana, Rodriguez Infante, Antonio, Caja Vivancos, Patricia, Prieto, Mikel, Alberdi San Roman, Igor, Gomez Fernandez, Laura, Muñoz Vives, Josep Maria, Carreras-Castañer, Anna, Díaz-Feijoo, Berta, Sieira-Gil, Ramon, Turrado-Rodriguez, Victor, Sánchez López, Anna, Sánchez-Cabús, Santiago, Jimenez Toscano, Marta, Canals Sin, MªPilar, Laura, Saura García, Martin Sole, Oriol, Palazon Bellver, Pedro, Pérez-Bertólez, Sonia, Prat-Ortells, Jordi, Riba Martínez, Mireia, Rubio-Palau, Josep, Tarrado, Xavier, Nuñez, Jorge, Alonso Mendoza, Veronica, Bescós, Coro, Espin-Basany, Eloy, Espinosa-Bravo, Martin, Gil-Sala, Daniel, González-Suárez, Susana, Montferrer Estruch, Nuria, Porteiro Mariño, Lucia, Rodríguez-Tesouro, Ana, Rojas Portilla, Fabian, Tormos Pérez, M Pilar, Vives, Inmaculada, Garcia De Cortazar, Unai, Tudela, Kiara, Landaluce-Olavarria, Aitor, Estaire Gómez, Mercedes, Almoguera, Jorge, Ugarte-Sierra, Bakarne, Jimenez, Virginia, Bertrand, Marta, Cárdenas Puiggrós, Laura, Delisau-Puig, Olga, Garcia-Adamez, Jorge, Julià Bergkvist, David, Maldonado-Marcos, Eloy, Diego García, Lucia, Roldón Golet, Marta, Soto-Darias, Iván, Rahy-Martín, Aida Cristina, Enjuto, Diego, Ramos-Luengo, Adolfo, Delgado Fernandez, Juan, Lugo Duarte, Carolina, Marquez, Lucila, Crego Vita, Diana, Dziakova, Jana, Minaya Bravo, Ana Maria, Caño Velasco, Jorge, Mateo-Sierra, Olga, Quintana-Villamandos, Begoña, Rey Valcarcel, Cristina, Rio, Javier, Román García de León, Laura, Di Martino, Marcello, Prada, Jorge, Serrano González, Javier, Losada, Manuel, Castell Gomez, Jose Tomas, Corripio-Sanchez, Ramon, Forero-Torres, Alexander, Morales-Puebla, José Manuel, Perez-Chrzanowska, Hanna, Valderrabano Gonzalez, Santiago, Yebes, Alvaro, Zapardiel, Ignacio, Diez Alonso, Manuel, Morales Palacios, Nelson, Cabañero Sánchez, Alberto, Sánchez Fernández, Fátima, Abad Gurumeta, Alfredo, Abad-Motos, Ane, Corella, Fernando, Ripollés-Melchor, Javier, Sanz-Gonzalez, Rosa, Alcaraz Fuentes, Marta, Fernández Martín, Maria Teresa, Calvo Espino, Pablo, Carrasco Prats, Milagros, Fernández-López, Antonio-José, García Escudero, Damián, Garcia Soria, Vanesa, Martínez Alonso, Jesús Aarón, Ruiz-Marín, Miguel, Gómez Pérez, Beatriz, Moya-Angeler, Joaquin, Fernández Martínez, Daniel, Llaquet Bayo, Heura, Colás-Ruiz, Enrique, Bella Romera, Susana, Ruiz Velasquez, Enrique Jose, Núñez, Bernardo, Jimenez, Raul, Zabaleta, Jon, González-Gimeno, Maria Jose, Ortega Vázquez, Irene, Perez Ferrer, Antonio, Martín-Láez, Rubén, Moreno Suarez, Marcelo, Freiria Eiras, Miguel Angel, Ramallo-Solís, Irene, Gomez-Rosado, Juan-Carlos, Oliver Guillen, Jose Ramon, Achalandabaso Boira, Mar, Catalá Bauset, Juan Carlos, Domenech, Julio, Badenes, Rafael, Bernal-Sprekelsen, Juan Carlos, Sancho-Muriel, Jorge, De Andrés-Asenjo, Beatriz, Tejero-Pintor, Francisco J, Vallve-Bernal, Marc, Vazquez Melero, Alba, Sánchez Blasco, Laura, Escartin, Jorge, Duque Mallén, Victoria, Srishankar, Selvaratnam, Jayarajah, Umesh, Sooriyabandara, Charitha, Basnayake, Oshan, Gunawansa, Nalaka, Wickramasinghe, Dakshitha, Weeraddana, Prabuth dulanjan, Vimalakanthan, Thanusan, Gishanthan, Shanthamoorthy, Chandrasinghe, Pramodh, Gialamas, Eleftherios, Sauvain, Marc-Olivier, Ghazal, Ahmad, Al-Sabbagh, Yusra, Alhassoun, Turki, Maa Albared, Sara, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, Isik, Arda, Francis Xaviour, Okedi, Turinawe, Gaston, Mubezi, Isaac, Sikakulya, Franck K., Kakeeto, Andrew, Kabweru, Dr. Wilberforce M., Lekuya, Hervé Monka, Kiweewa, Ronald, Lule, Herman, Matovu, Paul, Isaac, Otolia, Mashhour, Mohamed, El Helw, Amin, Alshryda, Sattar, Mohamed, Awadelkarim, Abbas, Ferial Mohamed Ali, Mohammed, Diary, Aldlyami, Ehab, Kundra, Rakesh, Michael, Antony Louis Rex, Alsaadi, Hayder, Khalil, Kareem S., Dbeis, Rachel, Shaikh, Shafaque, Ferry, Jenny, Jamal, Aiman, Siddique, Haleema, Das, Rishi, Ponugoti, Nikhil, Kamarajah, Sivesh K, Rattanasirivilai, Pornjittra, Sultana, Asma, Mosley, Frances, Chan, Matthew, Bateman, Antony, Davies-Jones, Gareth, Georgiades, Fanourios, Stewart, Grant D., Ahmadi, Navid, Coonar, Aman, Baig, Mariam, Khatri, Chetan, Surendran, Arthika, Sonksen, Julian, Sinnerton, Robert, Brennan, Caitlin, Gemma, Greenhalgh, Michael, Emerson, Hannah, Singisetti, Kiran, Totty, Joshua, Wilson, Michael, Lo, Terence, Corbett, Harriet, Okonkwo, Ijeoma, Arbane, Gill, El-Boghdadly, Kariem, Kerawala, Cyrus, Parmar, Chetan, Abbott, Tom, Bath, Michael, Odejinmi, Funlayo, Sagar, Jayesh, Talwar, Rishi, Newman, Samuel, Hammond, John, Moir, John, Duric, Natalie, Szakmany, Tamas, Iftikhar Talib, Ahmar, Youssef, Mina, Lewis-Lloyd, Christopher, Lami, Mariam, Ayub, Khurram, Dean, Benjamin, Balasubramanya, Supriya, Lakpriya, Sathya, Rogers, Luke, Turner, Paul, Maher, Mark, Sigamoney, Kohila, Edwards, John, El Kafsi, Jihène, Hardie, John, Johnson, David, Henein, Christin, Hollyman, Marianne, Agarwal, Ketan, Powell, Simon, Chauhan, Govind Singh, Patel, Rakesh, Gagnier, Joel, Carmichael, Heather, Olson, Kristofor A., Etchill, Eric, Incorvia, Joseph, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Kaafarani, Haytham, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Rice, Henry E., Kaups, Krista, Giorgakis, Emmanouil, DiNome, Maggie, Bhutiani, Neal, Bankhead-Kendall, Brittany, Aiken, Taylor, Diehl, Thomas, Gosain, Ankush, Rattan, Rishi, Ghani, Muhammad Owais Abdul, Ruzgar, Nensi Melissa, Liveris, Anna, Glass, Nina, Paranjape, Charu, Chin, Theresa, Meola, Antonio, Nicholson, Kristina, Squiers, John, Lueckel, Stephanie, Reisenauer, Janani, Callcut, Rachael, Mansour, Ahmed, Berndtson, Allison, Kornblith, Lucy, Seegert, Sara, Martins, Paulo, Al-Naggar, Hamza, Al-Shehari, Mohammed, Al-Raimi, Ibrahim, Ngulube, Allan, Siamuchembu, Maphios, Mushiwokufa, Willard, Mlambo, Busisiwe, Chinyowa, Simbarashe, Agastra, Ervis, Bollano, Enton, Dajti, Irida, Zijaj, Lorena, Fatima zohra, Belabbes, Bali, Oussama, Benallel, Nassim, Abdoun, Meriem, Bouchenak, Kamel, Soualili, Zineddine, Bastet, Joaquin, Capitaine, Daniel, Centeno Lozada, Jorge, Esquivel, Carlos, Figueroa, Rodrigo, García, Pablo Martín, Mondino, Jose, Traverso, Rogelio, Berber, Norberto, Di Vincenzo, Marcela, Grassano, Bianca, Maricic, Maximiliano, Zezular, Damaris Idara Anabel, Abuawad, Carla, Albani Forneris, Agustin, Brandariz, Rodrigo, Burchakchi, Arturo, Buttaro, Martin, Cano Busnelli, Virginia, Carminatti, Tomas, Cereghini, Julian, Crespi Amor, María Sol, Figari, Marcelo, Gonzalez Salazar, Esteban, Higuera, Felipe, Llano, Lionel, Lobos, Pablo, Mc Loughlin, Santiago, Mendoza, Efrain, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Ramos, María Lourdes, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Taboada, María Victoria, Vagni, Roberto, Montal, Silvina, Alvarez, Fernando Andres, Bruera, Nicolás, Parodi, Matias, Picon molina, Héctor, Belisle, Diego, Esteban, Agustin, García, José Sebastian, Granero, Lucas, Yaryura Montero, José Gabriel, D’Addino, José Luis, Calderón Arancibia, José Alfredo, John, Brooke-Smith, Mark, Hii, Amanda, Kundu, Nikhil, Marshall-Webb, Matthew, McVeay, Christina, Ong, Bee Shan, Parker, Dominic, Barnett, Dylan Richard, Buddingh, Karel, Dobbins, Christopher, Dudi-Venkata, Nagendra, Haque, Izhar-Ul, Herath, Matheesha, Kroon, Hidde M, Lim, Alicia, Moller, Cea-Cea, Neo, Eu Nice, Neo, Eu Ling, Russell, Christine, Tourani, Saam, Tran, Steven, Yin, Yijie, Watson, Matthew, Barker, John, Rugendyke, Anya, Watson, Eleanor, Sercombe, Ashleigh, Tee, Chin Li, Batstone, Martin, Field, Michael, Scott, Benjamin, Stevens, Sean, Charlton, Gabriella, Chen, Si, Gauri, Neha, Hayhurst, Ross, Jang, Seyoung, Zhang, Helen, Latif, Haider, Nagra, Sonal, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Bengeri, Savitha, Cheah, Hock Ping, Chen, Paul, Clark, Sara, Dawson, Amanda Caroline, Devan, Eliya, Fitt, Sophia, Gaul, John, Jolly, Danielle, Kane, James Dimitri, Kwok, Kelvin, Laura, Sharon, Lee, Vivian, Liang, Ina, Luo, Haili, Miles, Stephanie, Noor, Anthony, Simpson, Renwick, Cox, Aram, Thani, Nova, Egoroff, Natasha, Farik, Shebani, Moss, Jana-Lee, Wright, Deborah, Salama, Paul, Phan, Du, Townend, David, Chuan, Alwin, Barnett, Stephen, Hasan Kheslat, Hajar, Jamieson-Grigg, Chloe, Larner, Brett, Proud, David, Riddiough, Georgina, Seevanayagam, Sivendran, Zhao, Chris, An, Vinna, Drake, Anna, Hunt, Benjamin, Jain, Anshini, Lim, Christopher Seng Hong, Luck, Tara, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Tsigaras, Zac, Ward, Salena, Zhou, Jessie, Coates, Amy, Nataraja, Ramesh, Pacilli, Maurizio, Gillard, Andrew, Petrakis, Nikki, Qureshi, Maryum, Seow, Sean Ezekiel, Vivian-Taylor, Josephine, Wheatley, Jennifer, O’Connor, Brendan, Teague, Warwick, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Price, Veronique, Rowcroft, Alistair, Shaw, Kalai, Stark, Claire, Lauritz, Brianne, Ong, Chui Foong, Tang, Howard, Davis, Amelia, Peerally, Bibi Nabeeha, Aubin, Anne-Marie, Gourlay, Ralph, Lim, Zhi Ying, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Dale, Tyson, Duggal, Anchal, Ennis, Brendan, Fu, Yi Xin Joanna, Gani, Jonathan, Gelzinnis, Scott, Hadlow, Claudia, Hardstaff, Ruth, Lau, Wayne Yan, Liang, Hsin-Ping, Lim, Daniel, Mcilwain, Elysse, Ming, Yan Joyce, Ocsan, Ryan James, Organ, Nicole, Paterson, Amanda, Perez Cerdeira, Marisol, Ting, Caleb, Willoughby, Ellisha, Bailey, Ashley, Narayanan, Viswanathan, Wilkes, Anna, Zhao, Jie, D’Souza, Carl, Forbes, Clara, Haddleton, Monique, Mohammed Abdul, Naseer, Archer, Leigh, Dilevska, Tina, Hans, Tasvinder, Kumar, Mohit, Pham, Terence, Picazo Pineda, Fernando, Suk-Udom, Supisara, Jeyamanoharan, Nivedan, Sala, Michael, Dravid, Madhulika, McCartney, Conor, Sam, Apostolou, Christos, Berney, Christophe, Lam, Andrew, Ma, Vanessa, Cope, Jennifer, Llorando, Alyssa, Mahin, Humaira Haider, Putnis, Soni, Syed, Faisal, Ireland, Patrick, Zhu, Bonnie, Zitt, Matthias, Königsrainer, Ingmar, Allmer, Caterina, Mitteregger, Martin, Seitinger, Gerald, Duller, David, Mathew, Erwin, Skias, Christoph, Brinskelle, Petra, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Lindenmann, Joerg, Lumenta, David, Puchwein, Paul, Singer, Georg, Wolf, Axel, Arco, Daniel, Kilic, Nura, Widschwendter, Peter, Freyschlag, Christian, Graber, Michael, Hirsch, Jakob, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Osl, Antonia, Ower, Cornelia, Rauchegger, Teresa, Reimer, Daniel, Sokolovski, Filipp, Süss, Markus, Thaler, Martin, Zehetner, Claus, Allerstorfer, Jakob, Haslhofer, David, Pisecky, Lorenz, Poier, Nikolaus, Schmolmüller, Christoph, Zwittag, Paul, Windischbauer, Amadeus, Fischer, Ines, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Noe, Chiara, Borhanian, Kurosch, Emmanuel, Klaus, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Manzenreiter, Lisa, Schredl, Philipp, Weitzendorfer, Michael, Gruber, Michaela, Grünbart, Martin, Kemmetinger, Vanessa, Mosshammer, Victoria, Schaetz, Tobias, Lanner, Maximilian, Binder, Alf-Dorian, Bernardi, Martin H., Dawoud, Christopher, Foessleitner, Philipp, Grimm, Christoph, Pesta, Maximilian, Pillerstorff, Robert, Riss, Stefan, Scheriau, Georg, Fisus, Andreea, Ruiss, Manuel, Meindl, Nikolaus, Primavesi, Florian, Steiner, Florian, Falkensammer, Eva, Knotzer, Hans, Trivik-Barrientos, Felipe, Alam, Mahmood, Haider, Fayza, Mulla, Husain, Qader, Kawthar, Shirazi, Ahmed, Juma, Isam, Waheed Akbar Mohamad Akbar Nawab Deen, Fatema, AbdulQadir, Seemal, Jabr, Abdulla, Almoosa, Noora, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, S.M. Nazmul, Khan, Sadia, Mannan, Iftekhar Ibne, Corbin, Sasha, O’Shea, Margaret, Phillips, Emil, Straltsov, Vladislav, Lyzikov, Alexei, Borges, Mafalda, Vleminckx, Nils, Bontinck, Julie, Van Haver, Anne-Sophie, Cappeliez, Serge, Pigeolet, Manon, Viste, Claire, Van Daele, Elke, Jansen, Yanina, Messaoudi, Nouredin, Ruyssers, Michael, Schoneveld, Martijn, Van Eetvelde, Ellen, Oosterlinck, Wouter, Flamey, Nicolas, Akpla, Marcellin, Agossou, Hermann, Aouagbe Behanzin, Hulrich, Agbadebo, Mouhamed, Yome, Hugues, Boukari, Alassan, Amossou, Labissi Francois, Dossou, Francis, Boras, Miran, Čuljak Blagojević, Ivana, Gunaric, Filip, Letica, Ludvig, Martinovic, Vlatka, Miskovic, Josip, Rastović, Pejana, Sesar, Irena, Favaretto Filho, Rodolfo Jose, Rodrigues, Rodrigo, Schalge Campioto, Débora, Alonso, Nivaldo, Fernandes Rezende, Ricardo, Marson, Fernando Augusto Lima, Accorsi Neto, Alfeu, Accorsi, Guilherme, Machareth, Camila, Viegas Moura, Barbara, Guarienti, Luciano, Becker, Karin, Dias, Andre, Girardi Fachin, Camila, Stychnicki, Adriano Seikiti, Avelino, Melissa, Lima Buarque, Igor, Francisca, Elaine, Amorim, Robson, Bellotti Leão, Maria Eduarda, Melo da Camara, Isabelle, Silva Junior, Rubem Alves, Soares Da Silva Menezes, Agna, Cavazzola, Leandro Totti, Roloff Cardoso, Guilherme, Silva Neto, Brasil, Soares, Tilaê, Guerra, Enilde Eloena, Salem, Moacyr, de Campos Prado, Caio Antonio, Zani, Ana Carolina Tagliatti, Lourenço Gomes dos Santos, Carolina, Quintana, Silvana Maria, Veccechi Bijos Zaccaro, Marília, Lima, Leonardo, da Cunha Viana Júnior, Alonço, Trindade Martins, Isabela, R Oliveira, Priscila, Schmitz Nunes, Kamilla, Abdallah, Emne, Aguiar Júnior, Samuel, Baiocchi, Glauco, Campos, Heloisa Galvão do Amaral, Facure, Luciana, Kupper, Bruna, Leite, Fernanda, Marques, Narimã, Nakagawa, Suely, Scintini Herbst, Ana Carolina, Soares Dos Santos, Silvana, Vartanian, Jose Guilherme, Zequi, Stenio C, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Pansani, Adrieli, Simonsen, Marcelo, Tsuchiya, Daniela, Vasconcelos, Vladimir, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Sigoli Pereira, Thiago Henrique, Volpe, Gustavo Jardim, Nardi, Caroline, Braz de Oliveira, Layze, Ribeiro, Ivonizete Pires, Sousa, Álvaro Francisco Lopes de, Freitas, Marcelo Augusto Faria, Rodrigues da Cunha, Juliano, Dimitrov, Dobromir, Gohar, Muhammad, Gyokova, Elitsa, Neykov, Vasil, Atanasov, Boyko, Slavchev, Mihail, Kamenova, Paolina, Yotsov, Tsanko, Spassov, Kolyo, Tsankov, Tsanko, Brown, James, Bali, Krittika, Bigam, David, Dajani, Khaled, Dell, Angela, Hong, Dennis, Luketic, Lea, Mayer, Robert, McGee, Jacob, Yang, Homer, Behzadi, Abdollah, Brar, Amanpreet, Hanson, Melissa, Hopkins, Brent, Merchant, Richard, Mozel, Michelle, Belzile, Etienne, Boucher-Kovalik, Sofia, Corriveau-Durand, Simon, Cote, Mathieu, Côté, Mathilde, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Gosselin, Karo, Maheux-Lacroix, Sarah, Nadeau, Sylvie, Nguyen, Sebastien, Pelet, Stéphane, Groot, Gary, Wood, Melissa, Atrey, Amit, Ellenbogen, Yosef, Kellett, Sorcha, Suresh, Hrishikesh, Eskander, Antoine, Gentili, Fred, St. Jacques, Leslie, Tabasinejad, Raha, Hsiao, Marvin, MacKenzie, Shawn, Broe, Claire, Grey, Rebecca, Lindberg, Andrew, Mata Gutierrez, Juan, Phillips, Drew, Heredia, Fernando, Fernández, Esteban, Ochoa Gaete, Katherine, Sandoval Tobar, Mauricio, Reyes, José Tomás, Rivera, Barbara, Cohn, David, Recabal, Pedro, Sandoval, Camilo, Pincheira, Camila, Torres, Janina, Valenzuela, Marco, Yang, Kun, Zhang, Yuexin, Cunchuan, Wang, Yang, Wah, Liang, Tingbo, Caicedo, Camilo, Perez Granados, Carolina, Luna, Joaquin, Serrano, Oscar, Ortiz Silva, Camilo, Vega Calvera, Andrea Juliana, Acosta Buitrago, Lina M., Cabrera Rivera, Paulo Andrés, Cormane Alfaro, Valeria, Guerrero-Becerra, Albert Franz, Kadamani Abiyomaa, Akram, Polanía Sandoval, Camilo Andrés, Roman Ortega, Carlos Fernando, Téllez, Manuela, Arias-Amézquita, Fernando, Escorcia, Elkin, Herrera-Almario, Gabriel, Monsalve, Guillermo, Caicedo Giraldo, María Alejandra, Castillo Florez, Maria Carolina, Cendales, María Angelica, Daniel, Mario, Espitia, Hernando, Navarro, Juan Carlos, Parra Abaunza, Katherine, Pulido, Eliana, Riveros Castillo, William Mauricio, Rubiano, Wilson, Salgado Tovar, Javier Mauricio, Trillos, Marcial, Villate leon, Juan pablo, Becerra Mendez, Luis, Beltran, Rafael Jose, Calderon Quiroz, Pedro Hernando, Cervera Bonilla, Sergio, Garcia Mora, Mauricio, Mariño, Ivan, Pinilla Morales, Raúl Eduardo, Puerto, Angela, Quintero-Ortíz, Ma. Andrea, Suarez, Raul, Velez Bernal, Jorge Luis, Camargo Gómez, Daniela, kammerer, Christian, Acuna Saravia, Maria Fernanda, Arroyave, Roberto, Barreto Angulo, Jose Maria, Dueñas-Ramirez, Juan Carlos, Escobar Vidarte, Oscar Andres, Gomez, Laura, Gomez, Alejandro, Herrera Castañeda, Enrique, Hinaoui, Marisol, Idrobo Escobar, Anuar Armando, Llanos Lucero, Carlos Antonio, Montoya Casella, Antonio José, Perea Serna, Andrea Carolina, Ríos-Samper, Gabriel, Sandoval, John, Sarmiento Ramirez, Guillermo Alberto, Zuluaga Zuluaga, Mauricio, Figueroa, Juan Sebastian, Gonzalez Mosos, Maria Fernanda, Jaramillo Roncancio, Juan Jose, Mosos, Monica, Ramirez, Juan Sebastian, Idarraga Ramírez, Leidy Natalia, Marin Gonzalez, Ana Maria, Mejia, David Alejandro, Vanegas, Luis Emiro, Aruachan Vesga, Sandra, Diaz Martinez, Eneida, Martinez Estrada, Gustavo Antonio, Giraldo Velasquez, Angela Maria, Tovar, Jesus Hernan, Tovar, German Alirio, Buesaquillo, Christian Ali, Olave Montaño, Victor David, Montenegro, Emileth, Genda, Eben-ezer, Eboma, Fabrice, Grulović, Karlo, Bosak Versic, Ana, Srsen Medancic, Suzana, Brkic, Lucija, Cokarić, Sara, Tomić, Josipa, Brzic, Domagoj, Dijan, Emilio, Grgec Dragicevic, Maja, Konjevoda, Suzana, Morović, Domagoj, Perišić, Gordan, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Biočina, Bojan, Bobovec, Dino, Bumber, Boris, Duric Vukovic, Katarina, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Pasini, Miram, Penezić, Luka, Prstacic, Ratko, Romić, Ivan, Tomic, Mislav, Luksic, Ivica, Avilés Jiménez, Pablo Mijahil, Panayiotou, Yiannis, Stavrinidou, Olga, Yiallourou, Anneza, Michal, Burda, Lukáš, Gawel, Wladyslaw B., Lerch, Milan, Macečková, Nicole, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Přibyl, Martin, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Hviid, Louise, Kristensen, Helle Ø, Paulsen, Laerke, Ebbehøj, Anders Lyng, Jönsson, Maria Lovisa, Krarup, Peter-Martin, Otte, Helena, Smith, Henry, Bælum, Jens Kristian, Ellebæk, Signe Bremholm, Batista, Sylvia, Collado Expósito, María Mabel, Crespo, Aldo, D’óleo García, Claudio Samuel, Figueroa, Jatnna, Garcia-Dubus Rodriguez, U, Guzman, Lillian, Lopez, Ariela, Maletta Francisco, Leeany, Munoz, Herisardy, Perez Fernandez, Maricely Ambar, Rodríguez, Ada, Soto, Joel, Ubinas, Raul, Villegas, Aaron, Acra-Tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Díaz Vásquez, Pedro Pablo, Fernandez, Damaris, Figueroa Germosen, Jiomar Manuel, Mejia De la Cruz, Dolores, Ortiz De La Cruz, Fabio, Pelletier, Gabriela, Próspero Enrique, Rodriguez Pumarol, Suero Almanzar, Irina, Lincango-Naranjo, Eddy, Negrete Ocampo, José Ricardo, Sallam, Ibrahim, Sherief, Mohamed, Abdou, Mostafa, Abo Shanab, Ahmed, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Abouelnagah, Yossof, Adel, Dina, Ahmed, Sara, Alberkamy, Abdelrahman, Ali, Ahmed, Ashraf, Olfat, Darwish, Sara, El kharashy, Rasha, Elbadawy, Seifeldin, Elsaka, Alromisaa, Ewedah, Moataz, Ezz, Yara, Gadelrab, Ziyad, Hafez, Nour, Hafez, Youssef, Hassanin, Mohamed, Hussein Aly Salama Aly, Hamza, Ibrahim, Abdelrahman, Mahmoud Abo shabana, Alaa, Mourad, Mohamed, Mubarek, Kamilia, Omar, Samaa, Ragal, Marawan, Romany, John, Salem, Alaa, Samir Abdelaal, Ahmed, Shehata, Sameh, Shehata, Abdelrahman, Shenit, Karim, Yehia, Nermin, Khaled Mohamed Eid, Omar, Ibrahim Elsayed, Omar, Shehata, Mostafa Ahmed, Abd El-Ghani, Wael, Abd Elazeem, Hossam Aldein S., Abdalla, Shimaa, Abdel-Aleem, Mahmoud, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abubeih, Hossam, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Ahmed Saad, Sarah, Ali, Abdelrahman Ahmed Abdelrahman, Elmaghraby, Khaled, Elsdfy, Shady, Eltayeb, Almoutaz, Essam, Esraa, Gadelkareem, Rabea, Ghoneim, Ahmed, Hamada Takrouney, Mohammed, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Mahran, Wesam, Mahrous, Doha, Ragab, Abdelrahman, Sabry, Aya, Safwat, Hadeer, Saleh, Ahmed, Samir, Ahmed, Sayed, Esraa, Taher, Mohamed Gamal, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Zein Elabedeen, Omar, Ali, Samar, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Hamdy, Mahmoud, Hassan, Gehad, Nowar, Mostafa, Sabry, Hesham, Tarek Said-elnaby, Ahmed, Zahed, Mohamed, Zahran, Mohamed, Zoghary, Ahmed Zaki, Atef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, El Fiky, Lobna, ElGarhy, Ibrahim, Qassem, Mohamed, Wahba, Abdelrahman, Youssif Omar Fouad, Omar, Abdelsamed, Ahmed, Elsalhy, Mohamed, Eldesouky, Omnia, Wael Mostafa Khalil Bahi, Abdullah, Tawheed, Ahmed, Al-oribi, Saeid, Aly, Nuran Khaled, ElFiky, Mahmoud, Nabil, Ahmed, Samir Farahat, Ahmed, Soliman, Mostafa, Ghaly, Galal, Abbas, Alzhraa Salah, Ibraheem, Maher, Bakry, Abdelrahman, Jammal, Mohamed, M Makram, Abdelrahman, Adel abdelaty, Ahmed, Fayad, Elsayed A., Sallam, Moataz, Shehta, Ahmed, Elfeki, Hossam, Elsaid, Mahmoud, Mostafa, Mohamed, Sakr, Ahmed, Shetiwy, Mohamed, Tawakl, Noura, Yunes, Asmaa, Atallah, Khalid, Shetiwy, Mosab, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Elsabagh, Alaa, Elshabrawy, Enas, Hafez, Ahmed, Mikhail, Pola, Mohamed, Mervat, Nada, Ahmed, Omran, Janna, Salem, Osama, Selim, Salma, Shalaby, Ghada, Wahbah, Mahmoud, Zakaria Abdelbary, Eman, Zayan, Ahmad Helmy, Afify, Abdelrahman, Mohamed Ahmed, Mostafa, Abdeldayem, Hesham, Abdelkader Salama, Ibrahim, Ammar, Khaled, Ayoub, Islam, Gad, Emad Hamdy, Hammad, Essam, Macshut, Mahmoud, Sherif, Ahmed Elshawadfy, Shoreem, Hany, Soliman, Hossam Eldeen, Eldaly, Abdullah, Mashaly, Sarah, Abd-Elsalam, Sherief, Abdel-Elsalam, Wafaa, Morsy, Mohamed Sherif, Nasreddin, Mohammed, Sarsik, Sameh, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abebe, Kirubel, Asfaw, Fitsum, Eshete, Mahder, Gedefaw, Yetsedaw, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Teklu, Daniel, Tirfe, Leake, Worku, Bereket, Eado, Yegeremu, Negussie, Abraham, Woldemariam, Mersha Abebe, Alemu, Megersa, Azmach, Dawit, Mamo, Dr.Mickyas, Menkir, Abel, Woldemariam, Dereje, Wubishet, Estifanos, Supha, Melka, Abebe, Nebyou, Chanie, Abera, Gebre, Hiwot, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Sahlu, Abat, Tiruneh, Abraham Genetu, Zewdneh, Betelhem, Fentaw, Jibril, Tabore, Ketema, Addisalem, Abreha, Tassew, Abdissa, Desalegn, Tesfaw, Mequannet, Asmamaw, Dawit, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Girma, Adissu, Shimelash, Dagim, Ayalew, Tewabe, Kassahun, Berhanu, Mulugeta, Esubalew, Sisay, Silamlak, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, Derilo, Habtamu, Eliyas, Nebiyu, Deressa, Yadani, Melese, Lemi, Muleta, Lemesa, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Dr.Gebreagziabher, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Moukoko, Didier, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Doussot, Alexandre, Onorati, Ilaria, Radu, Dana, André, Benoît, Marion, Herjean, Trilling, Bertrand, Boleslawski, Emmanuel, Noiret, Barbara, Aubry, Estelle, Subayi Nkembi, Armande, Christou, Niki, Usseglio, Julie, Jeandel, Clement, Denis, Waast, Duchalais, Emilie, Regenet, Nicolas, Rigaud, Jerome, Anract, Philippe, Dohan, Anthony, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Crétolle, Célia, Thouement, Clermidi, Pauline, Hervieux, Erik, Langlais, Tristan, Leonelli, Lorenzo, Thomin, Anne, Athiel, Yoann, Cathala, Nathalie, Levy-Zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Fabrice, Chartier-Kastler, Emmanuel, Chereau, Nathalie, Melot, Charlotte, Turco, Célia, Chouillard, Elie, Boisson, Matthieu, Frasca, Denis, Livin, Marie, Mahmoud, Fedy, Sulpice, Laurent, Arnaud, Alexis P, Cazemajou, Clément Thierry, Nyangoh Timoh, Krystel, Renault, Annaëlle, Nappi, Francesco, Ezanno, Anne-Cecile, Cherkaoui, Zineb, Vix, Michel, Gornes, Hugo, Berthoumieu, Pierre, Misrai, Vincent, Pierre, Trocard, Angeles, Martina Aida, Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, Modabber, Ali, Schäfer, Benedikt, Wallqvist, Julia, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Goßlau, Yvonne, Maksymiw, Florian, Sommer, Florian, Sommer, Björn, Loch, Florian N, Aghalarov, Ilgar, Braumann, Chris, Höhn, Philipp, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Bork, Ulrich, Meisel, Cornelia, Petzold, Andrea, Fluegen, Georg, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Schnitzbauer, Andreas, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schlager, Daniel, Strähle, Jakob, Spelsberg, Fritz, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Keppler, Lena, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, Ronellenfitsch, Ulrich, Thomssen, Christoph, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Klauke, Friederike, Schmidt, Birte, Vinz, Franziska, Sander, Johannes, Betz, Christian Stephan, Bewarder, Julian, Burg, Simon, Klatte, Till Orla, König, Daniela, Köpke, Leon-Gordian, Stangenberg, Martin, Roux, Frederic, Hakami, Ibrahim Abdullah, Mall, Julian W, Graeb, Christian, Huber-Strößner, Kristin, Pempe, Christina, Kelly, Kathrin, Siebert, Julia, Agrawal, Rachit, Gousias, Konstantinos, Qureischie, Homeira, Meyer, Frank, Rissmann, Anke, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Rassweiler-Seyfried, Marie-Claire, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, Gempt, Jens, Schäffer, Christoph, Wegmann, Helmut, Aghamaliyev, Ughur, Böcker, Wolfgang, von Ehrlich-Treuenstätt, Viktor H., Ladurner, Roland, Schlager, Justin Gabriel, Smolka, Wenko, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Stadler, Josef, Hölz, Katharina, Brunner, Stefan M., Prantl, Lukas, Herzberg, Jonas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Reinhard, Tobias, Löffler, Markus W., Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, Pusch von, Silke, Schmidbauer, Stefan, Boenicke, Lars, Degener, Stephan, Seiberth, Rose, Smit, Marieke, von Rundstedt, Friedrich-Carl, Germer, Christoph-Thomas, Lock, Johan, Lotz, Christopher, Schlesinger, Tobias, Schmid, Benedikt, Treutlein, Agnes, Agyeman-Duah, Nana Kwaku, Appiah, Enoch, Gakpetor, Delali, Minlah Allah, Stephen, Adu-Aryee, Nii Armah, Agboadoh, Nelson, Bediako Bowan, Antoinette, Brown, George Darko, Clegg-Lamptey, Joe-Nat, Fenu, Benjamin Sena, Kumassah, Philemon, Hussey, Romeo, Agbeno, Evans Kofi, Amoako-Boateng, Mabel, Debrah, Samuel, Doku, Dr Kingsley, Mensah, Philip, Nortey, Michael, Opandoh, Isabella Naa Morkor, Yigah, Makafui, Jiagge, Nuna, Acquaye, Jane, Agyemang-Prempeh, Akosua, Amo-Antwi, Kwabena, Amoah, Michael, Amoah, George, Aning, Daniel Gyawu, Annor Mintah, Dominic, Arthur, Joshua, Darko- Asante, Regina, Gaveh, Valerie, Gyamfi, Frank Enoch, Jonathan, Boakye - Yiadom, Konney, Thomas Okpoti, Kyei, Ishmael, Nimako, Boateng, Ofosu-Barko, Ben Blay, Osabutey, Anita, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abdul-Mumin, Alhassan, Amadu, Munira, Azahares Leal, German, Buunaaim, Alexis, Cheyuo, Ernest, Daboo Salifu, Latif, Issaka, Adamu, Yakubu, Musah, Grypiotis, Ioannis, Papadopoulou, Triada, Korkolis, Dimitrios, Thomakos, Nikolaos, Dellaportas, Dionysios, Dimitra, Papalouka, Hadjizacharias, Theodoros, Konstadoulakis, Manousos, Massaras, Dimitrios, Vezakis, Antonios, Avgerinos, Konstantinos, Kechagias, Aristotelis, Ioannidis, Argyrios, Patelis, Nikolaos, Deskou, Eirini, Stamos, Nikolaos, Tasis, Nikolaos, Danias, Nikolaos, Selmani, Jonida, Kalamatianos, Theodosis, Stranjalis, George, Kondilis, Panagiotis, Kanellopoulou, Vasiliki, Larentzakis, Andreas, Papanikolaou, Vasileios, Potamianos, Spyridon, Triantafyllou, Tania, Panagiotou, Peter, Avramidis, Emmanouil, Bessias, Nikolaos, Tsiantoula, Paraskevi, Charalabopoulos, Alexandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Papalampros, Alexandros, Terras, Alexis, Tsourouflis, Gerasimos, Zografos, Constantinos, Antzaka, Christina, Falara, Areti, Perreas, Konstantinos, Rellia, Panagiota, Tasouli, Androniki, Skolarikos, Andreas, Tzelves, Lazaros, Theodorakis, Emmanuel, Karona, Paraskevi, Tzouganakis, Angelos, Chrysos, Emmanuel, Nikolouzakis, Taxiarchis, Tourountzi, Paraskevi, Al, Aggeliki, Kalfountzos, Christos, Arnaoutoglou, Eleni, Christodoulidis, Gregory, Gkolias, Nick, Hajiioannou, Jiannis, Krestinidis, Giorgos, Ntalouka, Maria, Saini, Fani, Skoulakis, Charalampos, Terzoudis, Christos Dimitrios, Zacharoulis, Dimitris, Δακής, Κωνσταντίνος, Filo, Eva, Kontopoulou, Konstantina, Patoulias, Ioannis, Astreidis, Ioannis, Christidis, Panagiotis, Loutzidou, Lydia, Mantevas, Antonis, Tatsis, Dimitris, Tsakiridis, Ioannis, Iordanidou, Eirini, Brolo, Estuardo, Gutiérrez Ruiz, Alitza, De León Lima, María Alejandra, Flores, Mario-Andrés, Morales, Steffanía, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Barrios Duarte, Amalia, Talé-Rosales, Luis-Fernando, Villeda, Sergio Alejandro, Anicetti, Joshua, Lowey, Megan, Ardebol, Javier, Barillas, Kathia, Barillas, Sabrina, Recinos, Salvador, Hon, Sophie, Liu, Alex Qinyang, Liu, Shirley, Ip, Ho Wai, Mak, Brian, Mok, Chung Ying, Wong, Kiu Fung, Au-Yeung, Kit Ying, Chan, David Yuen Chung, Chiu, Wang Kei, Ho, Jacky Yan Kit, Kung, Janet Wui Cheung, Ling, Samuel Ka Kin, Lok, Hon Ting, Teoh, Jeremy Yuen-Chun, Wong, Randolph, Antal, Zsuzsanna, Bahrehmand, Kiarash, Sztipits, Tamás, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Herczeg, György, Saftics, György, Kulcsicka-Gut, Judit, Sipos, Zsófia, Majmudar, Hardil, Madabhavi, Irappa, G S, Anitha, Kesarla, Venkatesh, Kumar Venkatappa, Sunil, P B, Hareesh, Shivashankar Chikkanayakanahalli, Santhosh, Sunil, Tanvi, Rajagopal, Niranjana, P L, Thirumanikandan, Mishra, Nitu, Wadhwani, Dr Rekha, Dhurwe, Ritika, Pushpalatha, Kameshwarachari, Raj, Sumit, Singh, Pooja, Kumar, Pankaj, Mittal, Yash, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Sahu, Rabi, Sultania, Mahesh, Tripathy, Sujit, Kansay, Rajeev, Gupta, Sunil Kumar, Kaman, Lileswar, Salunke, Pravin, Singh, Kavindra, Rela, Mohamed, Goudar, Swati, B, Barani kumar P, Murugesan, Anandan, Subbian, Anbukkani, Kumar, Arvind, Chauhan, Tapan singh, Govil, Akhil, Gupta, Shubhra, Sharma, Ashish, Tiwari, Saurabh, Vishwani, Vartika, Evelyn. R, Nissi, Deb, Mainak, Jayaram, Harish, Nagpal, Pooja, Pathak, Prachi, Choudhary, Gautam Ram, Chugh, Ankita, Elhence, Abhay, Madduri, Vijay, Pandey, Himanshu, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Vishnoi, Jeewan Ram, Bhende, Vishal, Chatterjee, Debarshi, Ghosh, Indranil, Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Bajaj, Ankur, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Rajan, Shiv, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Agarwal, Gaurav, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Jain, Ritu, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Alexander, Philip, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, Dharap, Satish, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Abraham, Bejoy, Asari, Ashishkumar, Badhe, Vivek, Badhwar, Sanjiv, Bothara, Vipul, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Ghugare, Dr bhavisha, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vinay, Kalwadia, Neha, Kayal, Akshat, Kulkarni, Yogesh, Mistry, Rajesh, Mulchandani, Manoj, Parab, Dr. Mrunal, Pednekar, Abhinav, Rahmani, Faizan, Rajput, Sunil, Sandlas, Gursev, Sarkar, Hrishikesh, Shetty, Sanket sadanand, Shukla kulkarni, Anshumala, Thete, Raghavendraswami, Wasnik, Shruti, Dhumane, Parag, Sharma, Rahul Deo, Deshmukh, Anuja, Gupta, Stuti, Nayak, Prakash, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Soni, Rajesh, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bains, Lovenish, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Ghodke, Rahul, Himani, Kumar, Ashwani, Gadekar, Anup, Panjwani, Taufiq, Maji, Suvendu, Basu, Somprakas, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Mahakalkar, Chandrashekhar, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, Mehraj, Asif, Parray, Fazl, Shah, Raahil, Wani, Rauf, Hegde, Siddhi, Ankadavar, Dr.sushil, Bafna, Darshan, Lad, Parag, Chisthi, Meer, Jothi, Harihara, .C. Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Mittal, Rohin, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Pour, Ali Moazami, Azarnia, Gholamreza, Alizadeh, Narges, Mokarami, Hossein, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Yousefzadeh Kandevani, Naser, Mortazavi, SM Javad, Ahmadi, Sayedali, Khosravi, Mohammad Hossein, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Hilmi, Ahmed, Muhssein, Haidar, McNestry, Catherine, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Fleming, Christina, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, O’Brien, Stephen, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Croghan, Stefanie M, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, Cullinane, Carolyn, Dowdall, Joseph, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Murphy, Ben, Njeze, Nwabundo, Reynolds, Ian Sean, Winter, Des, Ravi, Akshaya, Ridgway, Paul, Fowler, Amy, McAnena, Peter, Bahadoor, Muhammad Usaama, Kabir, Syed Mohammad Umar, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, Ryan, Éanna, Sara, Al-Mukhaizeem, Youssef, Crowley, Clare, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Hill, Rhodri, Khalid, Muhammad Abdullah, Majeed, Zubair, McCullough, Peter, Neary, Peter, Noone, Anthony, O’Kelly, John, Abu abed, Arsan, Haim, Nadav, Hershkovitz, Yehuda, Majadla, Omar, Rabin, Igor, Zmora, Osnat, Demma, Yonatan Avraham, Fishman, Yuri, Farkas, Amicur, Gozal, Yaacov, Greenman, Dmitry, Ostrovsky, Israel Alexander, Pardes, Rivka, Shahar, Tal, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Cianci, Pasquale, Minafra, Marina, Restini, Enrico, Bussolin, Edoardo, De Prizio, Marco, Sulce, Rezart, Poiasina, Elia, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Boussedra, Safia, Cescon, Matteo, Cipolli, Alessandro, Daddi, Niccolo’, De Crescenzo, Eugenia, De Iaco, Pierandrea, Del Gaudio, Massimo, Della Gatta, Anna Nunzia, Droghetti, Matteo, Giorgini, Federico A., Lanci Lanci, Antonio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Perrone, Anna Myriam, Pignatti, Marco, Puglisi, Silvana Bernadetta, Rottoli, Matteo, Schiavina, Riccardo, Serenari, Matteo, Serra, Margherita, Tesei, Marco, Violante, Tommaso, Aspide, Raffaele, Carretta, Alessandro, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Rosetti, Vittoria, Sturiale, Carmelo, Donati, Davide Maria, Palmerini, Emanuela, Berselli, Bruno, Bolognesi, Silvia, Farnia, Francesco, Maremonti, Pietro, Razzaboni, Alessandra, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Molfino, Sarah, Panciani, Pier Paolo, Sartori, Enrico, Zanin, Luca, Perrone, Fabrizio, Cappellani, Alessandro, Giaquinta, Alessia, Gioco, Rossella, Veroux, Pierfrancesco, Cianci, Antonio, Lo Giudice, Arturo, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, De Paola, Gilda, Giannaccare, Giuseppe, Sammarco, Giuseppe, D’Andrea, Marcello, Tosatto, Luigino, Mucilli, Felice, Muraglia, Angelo, Giuliani, Domenico Benvenuto, Segalini, Edoardo, Daniele, Alberto, Gelarda, Enrico, Olearo, Elena, Puppo, Andrea, Testa, Valentina, Porta, Andrea, Birindelli, Arianna, Bernabei, Massimiliano, Feo, Carlo V., Virgilio, Edoardo, Bartolini, Ilenia, Bottari, Andrea, Checcucci, Carlotta, De Vincenti, Rosita, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Maltinti, Gherardo, Taddei, Antonio, Michelagnoli, Stefano, Maccagnano, Giuseppe, Pesce, Vito, Ercolani, Giorgio, Fappiano, Francesca, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Ferrero, Simone, Sparavigna, Marco, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, Spampinato, Marcello Giuseppe, Chiarelli, Marco, Grandi, Samuele, Lenzi, Riccardo, Muscatello, Luca, Germano’, Antonino Francesco, Giani, Alessandro, Bissacco, Daniele, Cassinotti, Elisa, Pignataro, Lorenzo, Torretta, Sara, Armellin, Daniele, Basato, Silvia, Carrano, Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, D’amico, Maria, Izzo, Francesco, Marra, Ester, Marte, Gianpaolo, Bianco, Francesco, Cappiello, Antonio, Iovino, Claudio, Menna, Maria Paola, Romano, Francesco maria, Rossi, Settimio, Sciaudone, Guido, Ascari, Francesca, Bellora, Paolo, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Chioffi, Franco, Ciccarino, Pietro, Nezi, Giulia, Bissolotti, Guido, Di Donna, Mariano Catello, Licari, Leo, Salamone, Giuseppe, Toia, Francesca, Annicchiarico, Alfredo, Berretta, Roberto, Capozzi, Vito Andrea, Freyrie, Antonio, Frusca, Tiziana, Arici, Vittorio, Bozzani, Antonio, Filardo, Matteo, de Manzoni Garberini, Andrea, Cauteruccio, Michele, Caristo, Giuseppe, Calabrò, Marcello, Andreani, Lorenzo, Antonio, D’arienzo, Berrettini, Stefano, Colangeli, Simone, Cremonini, Camilla, Dallan, Iacopo, Di Franco, Gregorio, Korasidis, Stylianos, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Statuti, Erica, Tartaglia, Dario, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Ubiali, Paolo, Coiro, Saverio, Mele, Simone, Corbellini, Carlo, Masciandaro, Antonio, Carannante, Filippo, Denaro, Vincenzo, Mazzotta, Erica, Zampogna, Biagio, Cinquepalmi, Matteo, Del Basso, Celeste, Guglielmo, Nicola, Meniconi, Roberto Luca, Sinibaldi, Giovanni, Agnes, Annamaria, Belia, Francesco, Bianchi, Valentina, Cozza, Valerio, Fico, Valeria, Fransvea, Pietro, La Greca, Antonio, Litta, Francesco, Pascale, Marco Maria, Silvia, Tedesco, Benevolo, Maria, Campo, Flaminia, Dona’, Maria Gabriella, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Petruzzi, Gerardo, Pichi, Barbara, Tuderti, Gabriele, Bellato, Vittoria, Grande, Michele, Petagna, Lorenzo, Sensi, Bruno, Bruzzaniti, Placido, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, D’ambrosio, Giancarlo, De Toma, Giorgio, Familiari, Pietro, Fonsi, Giovanni Battista, Pata, Francesco, Picchetto, Andrea, Salvati, Maurizio, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, Ibrahim, Mohsen, Menna, Cecilia, Rendina, Erino Angelo, Accarino, Giulio, Giancarlo, Accarino, Froiio, Caterina, Copelli, Chiara, Di Maio, Pasquale, Giudice, Marco, Altana, Cristian, Ciccarello, Sandro, Cossu, Maria Laura, Dessole, Francesco, Dettori, Salvatora, Madonia, Massimo, Petrillo, Marco, Piredda, Franco, Rizzo, Davide, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Marano, Luigi, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Roviello, Franco, Abrate, Alberto, Clarizia, Guglielmo, Franzini, Marco, Fratto, Antonio, Grechi, Alessandro, Scarnecchia, Elisa, Maiuri, Vincenzo, Dalprà, Francesca, Battistella, Enrico, Romano, Maurizio, Aizza, Giada, de Manzini, Nicolò, Drigo, Davide, Mastronardi, Manuela, Palmisano, Silvia, Bardelli, Laura, Borroni, Giacomo, Livraghi, Lorenzo, Palumbo, Mara, Zullo, Alessandra, Vignotto, Chiara, Caravati, Andrea, De Cristofaro, Carlotta, Giuliani, Tommaso, Guglielmi, Alfredo, Pedrazzani, Corrado, Butturini, Giovanni, Moretto, Gianluigi, Mastriale, Francesco, Olmi, Stefano, Kushikata, Tetsuya, Oyama, Tasuku, Kamiyama, Mizue, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Deguchi, Yoshihiko, Hoshino, Tatsuki, Inoue, Hiroyuki, Ito, Shingo, Takano, Emi, Yamamoto, Masae, Matsuki, Yuka, Matsumoto, Takashi, Sawada, Atsushi, Sato, Kozo, Makino, Jun, Mizota, Toshiyuki, Yonekura, Hiroshi, Ishikawa, Haruka, Kaiho, Yu, Ogawa, Munehiro, Endo, Shunji, Fujiwara, Yoshinori, Kubota, Hisako, Okada, Toshimasa, Hisamatsu, Yoji, Michiura, Taku, Satoshi, Okazaki, Fujita, Tomoyuki, Fukushima, Satsuki, Otsuka, Yuji, Sawada, Ikumi, Miyamoto, Morikazu, Isada, Tetsuro, Bani Amer, Qaed, Fujimoto, Yuki, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, Kuroda, Naoto, Okamura, Yukiyasu, Uesaka, Katshuhiko, Kuroda, Kento, Abe, Nobutsugu, Ando, Tadao, Hirano, Kouichi, Kobayashi, Yoichi, Motoyasu, Akira, Noguchi, Hikari, Tajima, Atsushi, Toyama, Satoshi, Uchida, Tokujiro, Furukawa, Yuri, Hasumi, Yoko, Iida, Katsuyuki, Ikeda, Tatsuhiko, Kuzuhara, Shigeki, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Kawai, Akira, Nakata, Yoshinori, Sawamura, Shigehito, Kobayashi, Takayuki, Alqudah, Majdi Ali, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Omari, Rand Y., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, Ayasra, Faris, Ghayada, Ibrahim, Hasanein, Khaled Moh’d Ahmed, Hassouneh, Anas, Hijazeen, Raid, Khasawneh, Barihan, Semrin, Qusai, Theab, Mohammad, Abazeed, Alaa, Alkurdieh, Moh’d Mujahed, Hammouri, Mohammad, Khader, Sereen, Abu Obead, Hamza, Abudari, Hadeel, Al-azzeh, Nimer, Al-Darabah, Ali, Al-Qannas, Mohammad, Ashour, Subhi, Chabaan, Reem, Fawzi, Ahmad, Haij, Manal, Hassouneh, Esraa, Ibrahim, Zainab, Mohamed, Ishak, Qandeel, Mahmoud, Qassem, Faisal, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, Abuleil, Amro, Abou Chaar, Mohamad K., Al-latayfeh, Motasem, Al-Shudifat, Abdel-Ellah, Shaikh Ahmad, Abd Almonem, Abu Abed, Laith, Allouzi, Mohammad, Almi’ani, Sari, Alsaiad, Abdulhakim, Daoud, Maher, Dawod, Omar, Fadli, Saba, Jimaale, Elmi Ahmed Mohamed, Qulaghassi, Zaki, Al-howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al-Dabaa, Tawfik, Al-Jarrah, Salsabeel, Alshannaq, Qutaiba, Alsulaiman, Rima, Audat, Ziad, Bdour, Saja, Khatatbeh, Ro’a, Marji, Fares, Abu Ismail, Dima.Y, Abu-Ismail, Luai, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Kulimbet, Mukhtar, Sakhov, Orazbek, Fakhradiyev, Ildar, Tanabayeva, Shynar, Zhussupov, Baurzhan, Amrayev, Sultan, Kukubassov, Yerlan, Parker, Robert, Mwaria, Claude, Kibunyi, Muthoni, Mailu, Claire, Osea, Lydia, Hirsi, Omar, Dashti, Mustafa, Aldalal, Shuaib, Alozairi, Ous, Al-Shaiji, Tariq, Alhunaidi, Omar, Aljewaied, Ali, Farag, Ahmed, Termos, Salah, Sivins, Armands, Apse, Ingus Arnolds, Kaminskis, Aleksejs, Pāvulāns, Jānis, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Tamoos, Khalil, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Al maadany, Faraj, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, Alansari, Arowa hassan abdulrahman, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Khel, Samer, Yousef, Rowaida, Abuhlaiga, Ma’aly, Abushahma, Ahmed omar, Aldelensi Alzubi, Alhosen Saleh M, Alnehum, Mohamed alnaser, Alzedam, Ahmad, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Kamoka, Elhusain, Salamah, Abdulrauf, Abdeewi, Saedah, Eshnaf, Mabroka, Yahmad, Mohammad, Aljuroushi, Omar, Attia, Hajer, Emran, Ayyah, Samer, Ashraf, Abdullah, Duha milad, Ben esmael, Esraa, Benmasoud, Fatma, Debri, Laila, Younis, Balkees, Elmabrouk, Amna, Hasan, Ameerah Mahdi Abraheem, Suliaman, Taha, Alawami, Mohammed, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Ellojli, Ibrahim, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, Alayan, Mohammed, Ben Hasan, Hayat, Shaban Ben Hasan, Najat, Shaban Ben Hasan, Rabab, Dambrauskas, Zilvinas, Dekeryte, Inga, Koženiauskaitė, Akvilė, Maleckas, Almantas, Venclauskas, Linas, Zilinskas, Justas, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Jurgaitis, Jonas, Mikutaitis, Vytenis, Samalavicius, Narimantas Evaldas, Slepavicius, Algirdas, Vasiliauskas, Bernardas, Dulskas, Audrius, Cekauskas, Albertas, Gulla, Aiste, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, Samison, Luc Hervé, Tsiambanizafy, Guillaume Odilon, Solo, Corinne Eulalie, Safiry Andofenohasina, Fanonjomahasoa, Sablon Herinirina, Angelin, Das, Andre, Osman, Mohd Firdauss, Soh, Jien Yen, Zakaria, Zaidi, Chan, Kheng Hooi, Johan, Syamim, Mah, Jin Jiun, Subramaniam, Sentilnathan, Ibrahim, Mohd Razali, Nazimi, Abd Jabar, Bal, Pavin, Fadzli, Ahmad nazran, Jamaris, Suniza, Lee, Yeong Sing, Lim, Jeffery Zk, Moh Pauzi, Siti Farhan, Nair, Ashvin Krishna, Ng, Doris Sin Wen, Ng We Yong, Yuki Julius, Roslani, April Camilla, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Munjih, Islah, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul 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Gabriela, Morales valencia, Eduardo, Santos, Blanca, Torres Cisneros, Juan Roberto, Bozada-Gutiérrez, Katya, Alvarez, Maria Regina, de la Rosa Abaroa, Marco Antonio, Hernandez, Roberto, Bernardo, Anaya, Ernesto, Arceo-Olaiz, Ricardo, Lopez Flores, Sonia, Esparza Arias, Nereida, Romero Bañuelos, Esmeralda, Salcedo-Hernández, Rosa, Buerba, Gabriela Alejandra, Chan, Carlos, Garay Lechuga, Daniel, Hinojosa, Carlos, Mercado, Miguel Ángel, Peña Gómez Portugal, Emmanuel, Posadas-Trujillo, Oscar Emmanuel, Hernandez Skewes, Karla Yareli, Licona-Meníndez, Roque Delfino, Romero Lechuga, Fernanda, Roque, Oscar, Núñez-González, Roberto Ángel, Alvarez Manilla Orendain, Alfonso, Garcia, Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate 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Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Lawal, Taiwo Akeem, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Ademuyiwa, Adesoji, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Seyi-Olajide, Justina, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Okunlola, Abiodun, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Adisa, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Wuraola, Funmilola, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Kache, Stephen, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Sale, Danjuma, Takai, Idris Usman, Aji, Sani Ali, Anyanwu, Lofty-John, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Okereke, Chukwuma, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, Oyelowo, Nasir, 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Pereira, André, Pereira-Neves, António, Pina-Vaz, Teresa, Pinheiro, Gabriela, Pinho, Sílvia, Ramos, Pedro, Ramos, Patricia, Vilares Morgado, Rodrigo, Canotilho, Rita, Correia, Ana Margarida, Ferreira Pinto, Ana Paula, Claro, Mariana, Costa Santos, Daniel, Boto, Carlos, Branquinho, Rita, Rodrigues, Sónia, Guidi, Gonçalo, Leal, Clara, Machado, Luís, Marques, Prescillia, Martins, Daniela, Morais, Mariana, Nunes, Sara, Sapage, Rita, Sousa, Rita, Sousa, Diogo, Vaz Pereira, Ricardo, Lima Oliveira, Susana, Abdalla, Samir, Aurif, Fahad, Muzaffar, Nasir, Ahmed, Khalid, Al Dosouky, Mohammed, Al-Tarakji, Mohannad, Almudares, Saif, Elaffandi, Ahmed, Muslim, Muhammad, Qabbani, Amjad, Shah, Amjad, Khan, Mohammad Burhan, Murad, Musab, Costache, Victor, Dumitrescu, Tudor Ștefan, Muntean, George-Ovidiu, Mironescu, Aurel, Bezede, Cosmin, Enciu, Octavian, Baraian, Sergiu Catalin, Niculae, Cristina, Filipescu, Daniela, Goicea, Raluca, Alexe, Vlad, Batog, Olivia, Iliescu, Madalina, Ionescu, Sebastian, 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Rayzah, Musaed, Abd ElGhany, Reda, Al Ameer, Ahmed, Bawa, Dauda, Elzain, Mohammed, Wakill, Fadi, Fahiem-ul-Hassan, Mir, Al Duhileb, Mohammed, Alazzeh, Ghaleb, Alghazal, Thabet, Alkhatib, Abdulrahman, Almatar, Bikheet, Alnaimi, Manal, Alsuwaimel, Munir, Balhareth, Ameera, Abutaleb, Malak, Ageeli, Mohammed, Alhazmi, Barrag, Alkhayrat, Saud, Miftah, Mohammed, Otayfah, Sameer, Sari, AbdulRahman, Alsadiq, Mohammed, Fouad, Mohammed, Iskander, Othman, Al Athath, Samer, Alharthi, Mohammed, Bayazid, Muhannad, Al-Radi, Osman, Altaf, Abdulmalik, Arab, Fatima, Bangash, Mohammed, Basendowah, Mohammed, Farsi, Deema, Farsi, Ali, Habeebullah, Alaa, Malibary, Ziad, Nassif, Mohammed, Nawawi, Anfal, Sabbagh, Abdulrahman J, Sait, Salma, Saleem, Abdulaziz, Trabulsi, Nora, Alghamdi, Abdulaziz, Altalhi, Bassam, Alzaidi, Turki M, Mughal, Samiullah, Samadony, Mustafa, Althobaiti, Awwadh, Hakami, Hadi, Al Jamahir, Mohammed, Al Wadei, Hajr, Al-Qannass, Ali, Al-Qurashi, Qusay, Albakry, Ibrahim, Alkarak, Samer, Alkhanbashi, Omar, Alqannas, Mashhour, Alsakkaf, Mazen, Alzamanan, Mohammed, Mahnashi, Taher, Mohammed, Rawabi, Taha, Youssef, AlAamer, Ohood, Alaglan, Abeer, Alriyees, Lolwah, Alromaihi, Meaad, Alsafi, Maryam, Alsahabi, Jawaher, Alselaim, Nahar, Bin Saad, Khalid, Binjaloud, Ahmed, Dagestani, Hattan, Abaalkhail, Muath, Abukhater, Muhammad, Al Saied, Ghiath, Albarrak, Majed, Alghamdi, Ahmad, Alhogbani, Mofarej, Ali, Aisha Mansoor, Almushawah, Fatema, Alqahtani, Loai, Alqasem, Saad, AlRayih, Mohammed, Alsaleh, Khaled, Alsamari, Alanoud, Alshammari, Abdulaziz, AlSolami, Zeyad, AlSubaie, Fahd, Alsuliman, Yazeed, Alsuwaydani, Saleh, Alzahrani, Saud, Alanoud, Abu-Zaid, Ahmed, Aburahmah, Mohammad, Al Humaid, Lama, Al-Qattan, Mohammad, Alabbasi, Amira, Alahmari, Ahmed, Alaqel, Sara, Alassiri, Ali, Aldaghiri, Khalid, Alhaidari, Ammar, Alhazmi, Alaa, Alhazzaa, Norah, Alhefdhi, Amal, Alhelal, Boshra, Alhuthayl, Meshari, Alkassim, Abdullah, Alkhayal, Wafa, Almalaq, Ali, Almalik, Osama, AlMarshad, 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Alobaysi, Saad, Modahi, Nawaf, AI Nwijy, Khaled, AI Zahrani, Turki, Alahmad, Feras, Alalawi, Dr Yousef, Awaji, Ahmed, Emara, Sherif, Musawa, Nizar, Zakaria, Mahmoud, Althobaiti, Waleed, Paunovic, Ivan, Alajaji, Nouf, Ivanović, Nenad, Kmezić, Stefan, Knezevic, Djordje, Krivokapic, Zoran, Latinčić, Stojan, Markovic, Velimir, Miladinov, Marko, Ninic, Aleksandar, Gregoric, Pavle, Loncar, Zlatibor, Bogdanovic, Ivan, Milisavljević, Filip, Paunovic, Aleksandra, Trivic, Aleksandar, Bumbasirevic, Uros, Lazic, Aleksandar, Djurisic, Igor, Jevric, Marko, Kocic, Milan, Kozomara, Zoran, Markovic, Ivan, Dejanovic, Tatjana, Marinković, Srdjan, Milanovic, Miljan, Lazovic, Mikan, Cuk, Vladica, Milutinović, Vladan, Djan, Vladimir, Trajkovic, Velicko, Lukic, Dejan, Radovanovic, Zoran, Zahorjanski, Sanja, Hing, Jun Xian, Teo, Nan Zun, Arbab, Hana, Dimatatac, Doris Mae, Chew, Min Hoe, Tan, Kiat Tee Benita, Ang, Wei-Wen, Chong, Yew-Lam, Tan, Ming Ngan Aloysius, Wong, Kar Yong, Gális, Branislav, Avsenak, 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Abstract

Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.

Published
2024
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15. Water use at Luxor, Egypt: Consumption analysis and future demand forecasting

Author

Ahmed, AA, Fogg, GE, and Gameh, MA

Subjects
Water consumption, Water demand forecasting, Luxor, Egypt, Geology, Physical Geography and Environmental Geoscience, Civil Engineering
Abstract

Water resources in Egypt are becoming scarce and the demand for clean drinking water supply is one of the most important priorities of the Egyptian government in recent years. Analyzing water use and future demand forecasting is a primitive clue for water demand management. Water in Luxor is used for agricultural, residential, institutional, commercial, and touristic purposes. The results of water use analysis indicated that for the time period from 1983 to 2012, agriculture is the highest consumer of water which reached about 94.76-97.38 % followed by residential water consumption (1.90-3.05 %), institutional water consumption (0.71-1.75 %), and touristic water consumption (0.02-0.43 %), respectively. The future demand forecasting results revealed that the present situation may continue to rise in the next 50 years which will increase the water demand with a water deficit ranging between 15 and 114 MCM/year. To fill the gap between the present water consumption and future residential, institutional, commercial, and touristic water demand, additional municipal facilities, and improvement and management of water supply/demand are needed. To cope with the predicted future water demand, it is recommended to improve the on-farm irrigation, reduce the demand for irrigation water, rationalize the irrigation water use, and enhance the integrated role of water users in integrated water resources management. © 2013 Springer-Verlag Berlin Heidelberg.

Published
2014

16. The impact of groundwater and agricultural expansion on the archaeological sites at Luxor, Egypt

Author

Ahmed, AA and Fogg, GE

Subjects
Groundwater, Agriculture, Deterioration, Archaeological sites, Luxor, Egypt, Geology, Geophysics
Abstract

Pharaonic monuments represent the most valuable source of ancient Egypt, covering the period of approximately 3000-300 B.C. Karnak and Luxor temples represent the monuments of the east bank of Thebes, the old capital of Egypt. These monuments are currently threatened due to rising groundwater levels as a result of agricultural expansion after construction of the High Dam in the 1970s.Deterioration of archaeological sites at Luxor includes disintegration and exfoliation of stones, dissolution of building materials, loss of moral paintings, crystallization of salts in walls and columns, stone bleeding, destruction of wall paintings and texts, decreasing the durability of monumental stones, and discoloring.The hydrogeologic and climatic conditions combined with irrigation practices facilitated the weathering processes to take part in deterioration of archaeological sites at Luxor area. Many varieties of salt species are found in groundwater at the study area which react with country rocks including the archaeological foundations. These salts are not in equilibrium but in a dissolution and/or dissolution-precipitation phases which are responsible for the different types of deterioration features of Luxor and karnak temples including dissolution of the salts or minerals of the building stones and/or precipitation and crystallization of new salts. © 2014 Elsevier Ltd.

Published
2014

18. Using Mine Tailings as a Soil Improver to Reduce Micronutrient Deficiencies in Wheat Crops, Western Morocco

Author

Mohammed Kharbouche, Khalid El Khalidi, and Ahmed Aajjane

Subjects
wheat, soil amendment, treated mine tailings, nutritional quality of agricultural, micronutrients, bioconcentration factor, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350
Abstract

Micronutrient deficiencies in agricultural soils significantly affect crop productivity and the nutritional quality of produce, posing potential risks to human health. Abandoned mine tailings, which are rich in micronutrients, can serve as an effective solution to enhance the nutritional value of crops while also mitigating environmental impact. In this study, the soils were sourced from the semi-arid Doukkala region in western Morocco, while the tailings were obtained from the abandoned Kettara mine in the nearby Marrakech region. This study assessed the biomass and bioconcentration of wheat (Triticum aestivum L.) grown in three different soils amended with treated mine tailings (TMT) at doses of 0, 0.2, 1, 2, and 4 g.kg-1. The experiment, conducted under greenhouse and in pots, employed a split-plot design with three replicates, monitoring morphological parameters and plant biomass. Concentrations of Cu, Fe, Zn, and Mn in wheat grains were measured by inductively coupled plasma-atomic emission spectrometry (ICP AES) after harvest. The results indicate an increase in root length, shoot height, number of tillers, shoot biomass and grain biomass with TMT amendment doses of less than 1 g.kg-1 soil, by 13.6, 42.1, 42.6, 49.6, and 32.9% respectively. However, these parameters decreased with doses >2 g.kg-1. Significant linear correlations were observed between the concentrations of micronutrients in wheat grains and those present in the soil. The bioconcentration factor increased but remained below 1. This research reveals that treated mine tailings (TMT) are perfectly suitable to fertilize wheat using doses

Published
2024
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23. Economic losses caused by rodents in some types of maize fields at Farshout District, Qena Governorate, Egypt

Author

null Ahmed AA Elrawy, null Nashaat A Mahmoud, null Saudi AS Baghdadi, and null Abd El-Aleem SS Desoky

Abstract

This study was conducted to estimate the quantitative damage caused by rodent infestation to some types of maize and its financial transfer, at Al-Dahsa village in Farshout district, Qena Governorate, Egypt, during study period 2018/2019. The percentage of the quantitative and economic losses in maize varieties caused by rodents show that the highest value of loss was recorded in genotype single cross (HYTECH 2066) were about (3.91 and 3.00 Ardab/ feddan with a value of about (2737 and 2100 pounds), followed by the (Balady) type with about (3.90 and 2.34 Ardab/fed) with a value of about (2730 and 1638 pounds), followed by the single hybrid genotype (HYTECH 2055) about (3.26 and 2.57 Ardab/fed) with a value of about (2282 and 1799 pounds), while the moderate loss was recorded in crossbreeding Triple genetic (National seeds 11 "National seeds company") about (2.40 and 2.10 Ardab/fed) with a value of about (1608 and 1407 pounds), followed by the three-way genotype (National seeds 310) with about (2.30 and 1.84 Ardab/fed) with a value of about (1541 and 1233) pounds, while the lowest value was recorded in the individual genotype (National seeds 6) with about (1.30 and 1.04 Ardab/fed) with a value of about (871 and 697 pounds), followed by the individual hybrid genotype (National seeds 4), about (1.50 and 1.20 Ardab/fed) with a value of about (1005 and 804 pounds). The study indicates the interest in agricultural operations, taking preventive measures and implementing appropriate control programs for the maize varieties most infested with rodents. Keywords: Rodent Infestation; Financial Transfer; Type of Maize; Ardab; Feddan

Published
2021

24. Outcomes of gynecologic cancer surgery during the COVID-19 pandemic: an international, multicenter, prospective CovidSurg-Gynecologic Oncology Cancer study

Author

Christina Fotopoulou, Tabassum Khan, Juraj Bracinik, James Glasbey, Nadeem Abu-Rustum, Luis Chiva, Anna Fagotti, Keiichi Fujiwara, Rahel Ghebre, Murat Gutelkin, Thomas O. Konney, Joseph Ng, Rene Pareja, Rajkumar Kottayasamy Seenivasagam, Jalid Sehouli, Shylasree T.S. Surappa, Aneel Bhangu, Elaine Leung, Sudha Sundar, Dmitri Nepogodiev, Kwabena Siaw-Acheampong, Ruth A. Benson, Edward Bywater, Daoud Chaudhry, Brett E. Dawson, Jonathan P. Evans, James C. Glasbey, Rohan R. Gujjuri, Emily Heritage, Conor S. Jones, Sivesh K. Kamarajah, Chetan Khatri, Rachel A. Khaw, James M. Keatley, Andrew Knight, Samuel Lawday, Elizabeth Li, Harvinder S. Mann, Ella J. Marson, Kenneth A. McLean, Siobhan C. Mckay, Emily C. Mills, Gianluca Pellino, Maria Picciochi, Elliott H. Taylor, Abhinav Tiwari, Joana FF. Simoes, Isobel M. Trout, Mary L. Venn, Richard JW. Wilkin, Tom EF. Abbott, Sadi Abukhalaf, Michel Adamina, Adesoji O. Ademuyiwa, Arnav Agarwal, Murat Akkulak, Ehab Alameer, Derek Alderson, Felix Alakaloko, Markus Albertsmeier, Osaid Alser, Muhammad Alshaar, Sattar Alshryda, Alexis P. Arnaud, Knut Magne Augestad, Faris Ayasra, José Azevedo, Brittany K. Bankhead-Kendall, Emma Barlow, David Beard, Ruth Blanco-Colino, Amanpreet Brar, Ana Minaya-Bravo, Kerry A. Breen, Chris Bretherton, Igor Lima Buarque, Joshua Burke, Edward J. Caruana, Mohammad Chaar, Sohini Chakrabortee, Peter Christensen, Daniel Cox, Moises Cukier, Miguel F. Cunha, Giana H. Davidson, Anant Desai, Salomone Di Saverio, Thomas M. Drake, John G. Edwards, Muhammed Elhadi, Sameh Emile, Shebani Farik, Marco Fiore, J Edward Fitzgerald, Samuel Ford, Tatiana Garmanova, Gaetano Gallo, Dhruva Ghosh, Gustavo Mendonça Ataíde Gomes, Gustavo Grecinos, Ewen A. Griffiths, Magdalena Gruendl, Constantine Halkias, Ewen M. Harrison, Intisar Hisham, Peter J. Hutchinson, Shelley Hwang, Arda Isik, Michael D. Jenkinson, Pascal Jonker, Haytham MA Kaafarani, Debby Keller, Angelos Kolias, Schelto Kruijff, Ismail Lawani, Hans Lederhuber, Sezai Leventoglu, Andrey Litvin, Andrew Loehrer, Markus W. Löffler, Maria Aguilera Lorena, Maria Marta Modolo, Piotr Major, Janet Martin, Hassan N. Mashbari, Dennis Mazingi, Symeon Metallidis, Helen M. Mohan, Rachel Moore, David Moszkowicz, Susan Moug, Joshua S. Ng-Kamstra, Mayaba Maimbo, Ionut Negoi, Milagros Niquen, Faustin Ntirenganya, Maricarmen Olivos, Kacimi Oussama, Oumaima Outani, Marie Dione Parreno-Sacdalanm, Francesco Pata, Carlos Jose Perez Rivera, Thomas D. Pinkney, Willemijn van der Plas, Peter Pockney, Ahmad Qureshi, Dejan Radenkovic, Antonio Ramos-De la Medina, Toby Richards, Keith Roberts, April C. Roslani, Martin Rutegård, Juan José Segura-Sampedro, Irène Santos, Sohei Satoi, Raza Sayyed, Andrew Schache, Andreas A. Schnitzbauer, Justina O. Seyi-Olajide, Neil Sharma, Catherine A. 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Boyd-Carson, Elsey E, Gemmill E, Herrod P, Jibreel M, Lenzi E, Saafan T, Sapre D, Sian T, Watson N, Athanasiou A, Borg E, Bourke G, Bradshaw L, Brunelli A, Burke J, Coe P, Costigan F, Elkadi H, Ho M, Johnstone J, Kanatas A, Kantola V, Kaufmann A, Laios A, Lam S, MacInnes E, Munot S, Nahm C, Otify M, Pompili C, Raslan M, Salminen H, Smith I, Theophilou G, Toogood G, Wade R, Ward D, West C, A. Al-Harbawee, Alharawee A, Annamalai S, Ashmore C, Boddy A, Hossain T, Irvine E, Kassam K, Kourdouli A, Chean CS, Dharamavaram S, Gvaramadze A, Jibril A, Kulkarni N, Pereira I, Prusty L, Shanthakunalan K, Srikumar B, Thekkinkattil D, Adegbola S, Menakaya C, Noel J, Harky A, Shackcloth M, Askari A, Cirocchi N, Kudchadkar S, Patel K, Sagar J, Shaw S, Talwar R, Abdalla M, Edmondson R, Ismail O, Jones D, Newton K, Stylianides N, Aderombi A, Andaleeb U, Bajomo O, Beatson K, Garrett W, Mehmood M, Ng V, R. Al-Habsi, Brimioulle M, Divya GS, Keeler B, Soulsby RE, Taylor A, B. Al-Sarireh, Clancy R, Cripps P, Dobbs T, Egan R, Fabre I, Harries R, Henry A, Kittur M, Li Z, Parkins K, Soliman F, Spencer N, Thompson D, Burgess C, Gemmell C, Grieco C, Hollyman M, Hunt L, Morrison J, Ojha S, Abbadessa F, Barnard S, Dawe N, Hammond J, Koshy RM, Mahmoud Ali F, McPherson I, Mellor C, Moir J, Pandanaboyana S, Powell J, Rai B, Roy C, Sachdeva A, Saleh C, Tingle S, Williams T, Manickavasagam J, McDonald C, McGrath N, McSorley N, Ragupathy K, Ramsay L, Solth A, Aristotelous C, Kakisi O, Seebah K, Shaikh I, Sreedharan L, Touil L, Shah J, Ameerally P, Baguley M, Gnanachandran C, Heer B, Rogers M, Woods R, Aujayeb A, Mills S, Abu J, E. Addae-Boateng, Bratt D, Brock L, Burnside N, S. Cadwell-Sneath, Gajjar K, Gan C, Grundy C, Hallam K, Hassell K, Hawari M, Joshi A, Khout H, Konstantinidi K, R.X.N. Lee, Nunns D, Schiemer R, Walton T, Weaver H, Whisker L, Williamson K, Ahmed ME, Bukhari SI, Illingworth B, Kanthasamy S, Knights E, Ong SL, Pujari R, Tan KHM, Vanker R, Michel M, Patil S, Ravindran S, Sarveswaran J, Scott L, Biliatis I, Edmond M, King E, Babawale O, Hodgson D, Ismail M, Khan J, Lokman U, Phan YC, Almond M, Bhangu A, Breik O, Cato LD, Chowdhury YA, Desai A, Ford S, Griffiths E, Idle M, Kamal M, Karia K, Kisiel A, Kulkarni R, Mak JKC, Martin T, Nankivell P, Parente A, Parmar S, A.M. Pathanki, Phelan L, Praveen P, Saeed S, Sharma N, Singh J, Solomou G, Soon WC, Stevens A, Tirotta F, Topham C, Ughratdar I, Vijayan D, Ballantyne K, Barker L, Chapman K, Charalambous M, Chianakwalam C, English C, Evans J, Fell A, Frimpong D, Halkias C, Iyer R, Merh R, Neagu G, Nikolaou S, Poddar A, Pronisceva V, Reddy V, Williams N, Alakandy L, Bhattathiri P, Brown J, Canty M, Day E, Geddes A, Grivas A, Hassan S, Lammy S, Littlechild P, Maseland C, Mathieson C, McCaul J, McMahon J, O’Kane R, St. George E, Suttner N, Taylor W, Tilling E, English W, Kaul S, Khan AH, Khan F, Mansuri A, Mukherjee S, Sarigul M, Tan KL, Vulliamy P, Woodham A, Yang YH, Adiamah A, Brewer H, Chowdhury A, Humes D, Jackman J, Koh A, C. Lewis-Lloyd, Navarro A, Oyende O, Reilly J, Vohra R, Worku D, Cool P, Cribb G, Shepherd K, Bisset C, Moug S, Chadha R, Elson N, Galleano R, Faulkner G, Langone A, Panayi Z, Saleh P, Tuminello F, Underwood C, Brixton G, Findlay L, Klatte T, Majkowska A, Manson J, Potter R, W. Al-Khyatt, Bhalla A, Chia Z, Daliya P, Goyal A, Grimley E, Hamad A, Malcolm FL, Ng JCK, Phillips A, Theophilidou E, Williams S, Bowden J, Campain N, Daniels I, Fowler G, John J, Massey L, McDermott F, McGrath J, McLennan A, Ng M, Pascoe J, Rajaretnam N, Angamuthu N, Bulathsinhala S, Chowdhury S, Davidson B, Fusai G, Gilliland J, Hart C, Hidalgo Salinas C, Knowles J, Machairas N, Mirnezami R, Pissanou T, Pollok JM, Raptis DA, Soggiu F, Tzerbinis H, Varcada M, Xyda S, Beamish A, Davies E, Foulkes R, Magowan D, Nassa H, Ooi R, Price C, Smith L, Solari F, Tang A, Williams G, Abd Kahar NN, Y. Al-Tamimi, Bacon A, Beasley N, Catto J, Chan LH, Chew D, Crank M, Ilenkovan N, Macdonald M, Narice B, Rominiyi O, Saad S, Sinha S, Thompson A, Varley I, Brennan P, Drake T, Harrison EM, Linder G, Mayes J, McGregor R, Pasricha R, Skipworth RJE, Zamvar V, Hawkin P, Raymond T, Ryska O, Baron R, Dunne D, Gahunia S, Halloran C, Howes N, McKinney R, McNicol F, Rajput K, Russ J, Sutton R, Szatmary P, Tan JR, Whelan P, Anzak A, Banerjee A, Fuwa O, Hughes F, J.D. Jayasinghe, Knowles C, Kocher HM, Leal Silva I, Ledesma FS, Minicozzi A, Navaratne L, Patki P, Rahman R, Ramamoorthy R, Sohrabi C, Tanabalan C, Thaha M, Thakur B, Venn M, Yip V, Baumber R, Parry J, Evans S, Jeys L, Morris G, Parry M, Ahmadi N, Aresu G, Z.M. Barrett-Brown, Coonar A, Durio Yates H, Gearon D, Hogan J, King M, Peryt A, Pradeep IS, Adishesh M, Atherton R, Baxter K, Brocklehurst M, Chaudhury M, Krishnamohan N, McAleer J, Owens G, Parkin E, Patkar P, Phang I, Aladeojebi A, Ali M, Barmayehvar B, Gaunt A, Gowda M, Halliday E, Kitchen M, Mansour F, Nanjaiah P, Zakai D, N. Abbassi-Ghadi, Assalaarachchi H, Currie A, Flavin M, Frampton A, Hague M, Hammer C, Hopper J, Horsnell J, Humphries S, Kamocka A, Madhuri TK, Preston S, Singh P, Stebbing J, Tailor A, Walker D, Coomber E, Jaunoo S, Kennedy L, Airey A, Bunni J, Crowley R, Fairhurst K, Frost J, George R, Lee S, Mitchell S, Phull J, Richards S, Aljanadi F, Campbell A, Glass A, Hraishawi I, Jones M, McIlmunn C, McIntosh S, Mhandu P, O’Donnell C, Turkington R, Z. Al-Ishaq, Bhasin S, Bodla AS, Burahee A, Crichton A, A. El-Ghobashy, Fossett R, Pigadas N, Rahman E, Snee D, Vidya R, Yassin N, Fountain D, M.T. Hasan, Karabatsou K, Laurente R, Pathmanaban O, Barlow C, Ding D, Foster J, Longstaff L, C. Brett-Miller, Buruiana FE, Al-mukhtar A, Edwards J, Giblin A, Kelty C, Lee M, Lye G, Newman T, Sharkey A, Steele C, Sureshkumar Shah N, Whitehall E, Blair J, Lakhiani A, W. Parry-Smith, Sahu B, Athwal R, Baker A, Jones L, Konstantinou C, Ramcharan S, Vatish J, Wilkin R, Alzetani A, Amer K, Badran A, Colvin HV, Ethunandan M, Sekhon GK, Shakoor Z, Shields H, Singh R, Talbot T, Wensley F, Lawday S, Lyons A, Newman S, Chung E, Hagger R, Hainsworth A, Hunt I, Karim A, Owen H, Ramwell A, Santhirakumaran G, Smelt J, Tan C, Vaughan P, Williams K, Baker C, Davies A, Gossage J, Kelly M, Knight W, Bromage S, Hall J, Kaushik V, Rudic M, Vallabh N, Zhang Y, Harris G, James G, Kang C, Lin DJ, Rajgor AD, Royle T, Scurrah R, Steel B, Watson LJ, Choi D, Hutchison R, Luoma V, Marcus HJ, May R, Menon A, Pramodana B, Webber L, Hayes A, Jones R, Sivarajah G, Smith M, Smrke A, Strauss D, Abouelela FAM, Aneke IA, Asaad P, Brown B, Collis J, Duff S, Khan A, Moura F, Taylor M, Wadham B, Warburton H, Elmoslemany T, M.D. Jenkinson, Millward CP, Zakaria R, Mccluney S, Parmar C, Shah S, Allison J, M.S. Babar, Bowen J, Collard B, Goodrum S, Lau K, Sargent M, Scott R, Thomas E, Whitmore H, Balasubramaniam D, Jayasankar B, Kapoor S, Ramachandran A, Semple C, Elhamshary A, Imam SMB, Kapriniotis K, Kasivisvanathan V, Lindsay J, S. Rakhshani-Moghadam, Beech N, Chand M, Green L, Kalavrezos N, Kiconco H, McEwen R, Schilling C, Sinha D, Pereca J, Chopra S, Egbeare D, Thomas R, Arumugam S, Ibrahim B, Khan K, Combellack T, Hill G, Jones S, Kornaszewska M, Mohammed M, Tahhan G, Valtzoglou V, Blencowe N, Eskander P, Gash K, Gourbault L, Hanna M, Maccabe TA, Main B, Olivier J, Newton C, Roswadowski S, Ryan N, Teh E, West D, Al-omishy H, Baig M, Bates H, Di Taranto G, Dickson K, Dunne N, Gill C, Howe D, Jeevan D, Khajuria A, A. Martin-Ucar, McEvoy K, Naredla P, Robertson S, Sait M, Sarma DR, Shanbhag S, Shortland T, Simmonds S, Skillman J, Tewari N, Walton G, M.A. Akhtar, Brunt A, McIntyre J, Milne K, Rashid MM, Sgrò A, Stewart KE, Turnbull A, A.K. Abou-Foul, Gossedge G, O’Donnell S, Oldfield F, Thomson S, Aguilar Gonzalez M, Talukder S, Boyle C, Fernando D, Gallagher K, Laird A, Tham D, Bath M, Basnyat P, Davis H, Montauban P, Shrestha A, Agarwal K, Arif T, Magee C, Nambirajan T, Powell S, Vinayagam R, Flindall I, Hanson A, Mahendran V, Green S, Lim M, MacDonald L, Miu V, Onos L, Sheridan K, Young R, Alam F, Griffiths O, Houlden C, Kolli VS, Lala AK, Leeson S, Peevor R, Seymour Z, Consorti E, Gonzalez R, Grolman R, R. Kwan-Feinberg, Liu T, Merzlikin O, San Francisco, Brown A, Cooper Z, Hirji S, Jolissaint J, Mahvi D, Okafor B, Raut CP, Roxo V, Salim A, Bessen S, Chen L, Dagrosa L, Fay K, Fleischer C, Hasson R, Henderson E, Leech M, Loehrer A, Markey C, Paydarfar J, Rosenkranz K, Telma K, Tocci N, I. Wilkinson-Ryan, Bokenkamp M, Brown K, Fleming D, Heron C, Hill C, Kay H, Leede E, McElhinney K, Olson KA, Osterberg EC, Riley C, Srikanth P, Barbour J, Blazer D, DiLalla GA, Fayanju O, Hwang ES, Kahmke R, Kazaure H, Lazarides A, Lee W, Lidsky M, Menendez C, Moris D, Plichta J, Pradhan MC, Puscas L, Rice HE, Rocke D, Rosenberger L, Scheri R, B.D. Smith, M.T. Stang, Tolnitch L, Turnage K, Visgauss J, Walton FS, Watts T, Zani S, Farma J, Cardona K, Russell MC, Clark J, Kwon D, Goel N, Kronenfeld J, Bigelow B, Etchill E, A. Gabre-Kidan, Jenny H, Kent A, Ladd MR, Long C, Malapati H, Margalit A, Rapaport S, Rose J, Stevens K, Tsai L, Vervoort D, Yesantharao P, Dehal A, Klaristenfeld D, Huynh K, Kaafarani H, Naar L, Qadan M, Brown L, Ganly I, Mullinax JE, Alpert N, Gillezeau C, F.A.C.S.B.A. Miles DDS MD, Taioli E, Cha DE, Gleeson E, Horn C, Sarpel U, Gusani N, Hazelton J, Maines J, Oh JS, Ssentongo A, Ssentongo P, Bhama A, Colling K, Najarian M, Azam M, Choudhry A, Marx W, Abedin Y, Arzumanov G, Chokshi R, Gabrilovich S, Glass N, Kalyoussef E, F.P. Parvin-Nejad, Roden D, Stein J, A. Suarez-Ligon, Tsui G, Zhao K, Fleming J, Fuson A, Gigliotti J, Ovaitt A, Ying Y, Abel MK, Andaya V, Bigay K, M.A. Boeck, Chern H, Corvera C, I. El-Sayed, Glencer A, Ha P, B.C.S. Hamilton, Heaton C, Hirose K, D.M. Jablons, Kirkwood KS, Kornblith LZ, Kratz JR, Lee RH, Miller PN, Nakakura EK, B. Nunez-Garcia, O’Donnell RJ, Ozgediz D, Park P, Robinson B, Sarin A, Sheu B, Varma MG, Wai KC, Wustrack R, Xu MJ, Zimel M, CA) Beswick D, Goddard J, Manor J, Song J, Denver/Colorado Springs/Loveland, Cioci A, Pavlis W, Rakoczy K, Ruiz G, Saberi R, Fullmer T, Gaskill C, Gross N, Kiong K, Roland CL, Zafar SN, Abdallah M, Abouassi A, Aigbivbalu E, Almasri M, Eid J, George B, Kulkarni G, Marwan H, Mehdi M, San Andrés M, Sundaresan J, Aoun SG, Ban VS, Batjer HH, Bosler K, Caruso J, Sumer B, Abbott D, Acher A, Aiken T, Barrett J, Foley E, Schwartz PB, Hawkins AT, Maiga A, Ruzgar NM, Sion M, Ullrich S, Laufer J, Scasso S, H. Al-Naggar, M. Al-Shehari, Almassaudi A, Alsayadi M, Alsayadi R, Nahshal M, Shream S, AL-Ameri S, Aldawbali M, Fotopoulou, C, Khan, T, Bracinik, J, Glasbey, J, Abu-Rustum, N, Chiva, L, Fagotti, A, Fujiwara, K, Ghebre, R, Gutelkin, M, Konney, T, Ng, J, Pareja, R, Kottayasamy Seenivasagam, R, Sehouli, J, Surappa, S, Bhangu, A, Leung, E, Sundar, S, Fruscio, R, Institut de Recherche sur les Maladies Virales et Hépatiques (IVH), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, and Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Genital Neoplasms, Female/epidemiology/surgery, complications, SARS-CoV-2, delay, pandemic, Obstetrics and Gynecology, COVID-19, [SDV.CAN]Life Sciences [q-bio]/Cancer, complication, General Medicine, Covid-19, surgery, Settore MED/40 - GINECOLOGIA E OSTETRICIA, Humans, Female, gynecologic cancer, Prospective Studies, complicationsCOVID-19delaygynecologic cancerpandemicsurgery, Pandemics
Abstract

Background: The CovidSurg-Cancer Consortium aimed to explore the impact of COVID-19 in surgical patients and services for solid cancers at the start of the pandemic. The CovidSurg-Gynecologic Oncology Cancer subgroup was particularly concerned about the magnitude of adverse outcomes caused by the disrupted surgical gynecologic cancer care during the COVID-19 pandemic, which are currently unclear. Objective: This study aimed to evaluate the changes in care and short-term outcomes of surgical patients with gynecologic cancers during the COVID-19 pandemic. We hypothesized that the COVID-19 pandemic had led to a delay in surgical cancer care, especially in patients who required more extensive surgery, and such delay had an impact on cancer outcomes. Study design: This was a multicenter, international, prospective cohort study. Consecutive patients with gynecologic cancers who were initially planned for nonpalliative surgery, were recruited from the date of first COVID-19- related admission in each participating center for 3 months. The follow-up period was 3 months from the time of the multidisciplinary tumor board decision to operate. The primary outcome of this analysis is the incidence of pandemic-related changes in care. The secondary outcomes included 30-day perioperative mortality and morbidity and a composite outcome of unresectable disease or disease progression, emergency surgery, and death. Results: We included 3973 patients (3784 operated and 189 nonoperated) from 227 centers in 52 countries and 7 world regions who were initially planned to have cancer surgery. In 20.7% (823/3973) of the patients, the standard of care was adjusted. A significant delay (>8 weeks) was observed in 11.2% (424/3784) of patients, particularly in those with ovarian cancer (213/1355 ; 15.7% ; P

Published
2022

27. Economic losses caused by rodents in some types of maize fields at Farshout District, Qena Governorate, Egypt

Author

Ahmed AA Elrawy, Nashaat A Mahmoud, Saudi AS Baghdadi, and Abd El-Aleem SS Desoky

Subjects
Rodent Infestation, Type of Maize, Ardab, Feddan, Financial Transfer
Abstract

This study was conducted to estimate the quantitative damage caused by rodent infestation to some types of maize and its financial transfer, at Al-Dahsa village in Farshout district, Qena Governorate, Egypt, during study period 2018/2019. The percentage of the quantitative and economic losses in maize varieties caused by rodents show that the highest value of loss was recorded in genotype single cross (HYTECH 2066) were about (3.91 and 3.00 Ardab/ feddan with a value of about (2737 and 2100 pounds), followed by the (Balady) type with about (3.90 and 2.34 Ardab/fed) with a value of about (2730 and 1638 pounds), followed by the single hybrid genotype (HYTECH 2055) about (3.26 and 2.57 Ardab/fed) with a value of about (2282 and 1799 pounds), while the moderate loss was recorded in crossbreeding Triple genetic (National seeds 11 "National seeds company") about (2.40 and 2.10 Ardab/fed) with a value of about (1608 and 1407 pounds), followed by the three-way genotype (National seeds 310) with about (2.30 and 1.84 Ardab/fed) with a value of about (1541 and 1233) pounds, while the lowest value was recorded in the individual genotype (National seeds 6) with about (1.30 and 1.04 Ardab/fed) with a value of about (871 and 697 pounds), followed by the individual hybrid genotype (National seeds 4), about (1.50 and 1.20 Ardab/fed) with a value of about (1005 and 804 pounds). The study indicates the interest in agricultural operations, taking preventive measures and implementing appropriate control programs for the maize varieties most infested with rodents. Keywords:Rodent Infestation; Financial Transfer; Type of Maize; Ardab; Feddan https://www.raftpubs.com/ijpsh-plant-science-and-horticulture/articles/ijpsh_raft1031.php

Published
2021

29. The zinc finger protein Zbtb18 represses expression of class I PI3K subunits and inhibits plasma cell differentiation

Author

Xie, B, Khoyratty, ET, Abu-Shah, E, Cespedes, P, MacLean, AJ, Pirgova, G, Dustin, ML, Udalova, IA, Hu, Z, Ahmed, AA, and Arnon, TI

Abstract

The PI3K pathway plays a key role in B cell activation and is important for the differentiation of Ab producing plasma cells (PCs). Although much is known about the molecular mechanisms that modulate PI3K signaling in B cells, the transcriptional regulation of PI3K expression is poorly understood. In this study, we identify the zinc finger protein Zbtb18 as a transcriptional repressor that directly binds enhancer/promoter regions of genes encoding class I PI3K regulatory subunits, subsequently limiting their expression, dampening PI3K signaling and suppressing PC responses. Following activation, dividing B cells progressively downregulated Zbtb18, allowing gradual amplification of PI3K signals and enhanced development of PCs. Human Zbtb18 displayed similar expression patterns and function in human B cells, acting to inhibit development of PCs. Furthermore, a number of Zbtb18 mutants identified in cancer patients showed loss of suppressor activity, which was also accompanied by impaired regulation of PI3K genes. Taken together, our study identifies Zbtb18 as a repressor of PC differentiation and reveals its previously unappreciated function as a transcription modulator of the PI3K signaling pathway.

Published
2021

30. Effect of Dexamethasone on Antepartum Cardiotocography

Author

Sayed Ahmed Wa, Ahmed Aa, and Taha Ot

Subjects
medicine.medical_specialty, medicine.diagnostic_test, business.industry, Obstetrics, Medicine, Cardiotocography, General Medicine, business, Dexamethasone, medicine.drug
Abstract

Objective: The purpose of this study was to evaluate the effect of dexamethasone on fetal heart rate parameters using the standard dose regimen. Study Design: A prospective cohort study conducted in the Maternity Department, Suez Canal University hospitals. Sixty- eight pregnant women with gestational age between 28 and 34 weeks were recruited. Patients received 4 doses of dexamethasone 6 mg every 12 hours for threatened preterm delivery due to preterm premature rupture of membranes, placenta previa or history of preterm labor. Computerized cardiotocography was recorded for 60 minutes on day 0 (before dexamethasone administration), day 2 and day 4 after administration. Cardiotocography monitoring was performed between 11 am and 1 pm to avoid diurnal rhythm of fetal heart rate. Outcome measure included changes in fetal heart rate accelerations, variability and fetal movements following dexamethasone injection. Results: Sixty-eight patients were enrolled in the study. Fetal heart rate accelerations (P=0.0001), short-term variation (P=0.01), episodes of high variation (P=0.003) and fetal movements (P=0.0001) were significantly reduced on day 2 after dexamethasone. No significant changes were found on baseline fetal heart rate (P=0.18), long-term variation (P=0.1) and number of decelerations (P=0.1). All parameters returned to baseline values on Day 4 after administration. Conclusion: Dexamethasone induces transient suppression of fetal heart rate parameters on day 2 after administration that mimics fetal compromise. Awareness of this phenomenon is important to avoid iatrogenic delivery of preterm fetuses.

Published
2021

32. Influence of COVID-19 on lifestyle behaviors in the Middle East and North Africa Region: a survey of 5896 individuals

Author

Abouzid, Mohamed, El-Sherif, Dina M, Eltewacy, Nael Kamel, Dahman, Nesrine Ben Hadj, Okasha, Salah A, Ghozy, Sherief, Shariful Islam, Sheikh, Elburki, ARF, Ali, AAM, Hasan, MA, Ali, EAA, Mohamed, MNG, Ahmed, MH, Taher, AK, Abdalbaqi, LS, Jasim, NH, Aziz, IA, Dafaallah, AB, Dalla, SB, Mastouri, O, Zarrad, C, Abdelslam, AE, Sayed, ATA, Wassim, K, Shaban, M, Fayez, TM, Nasser, M, Radhi, Z, Alkuwaiti, Z, Alsaffar, A, Elaidy, AM, Hammoud, M, Hammoud, SM, Alturki, AS, Jarkhi, T, Hamza, R, Issa, NM, Kaakeh, RA, Aljondi, OA, Ahmed, AA, Ibrahim, MH, Samy, I, Abdulrahman, F, Fouad, WS, Shahin, N, Salman, S, Ghunaim, S, Elayyan, S, Alkhaled, FA, Elsori, D, Altayeb, SN, Lahham, EE, Jobran, AWM, Salman, AN, Abdelhaq, AI, Akkawi, OH, Al-Hadi, AHS, Gozelan, SNR, Qasim, HSA, Areqi, AA, Thabet, AAA, Drid, B, Menzer, S, Hamdani, M, Alya, Z, Adadi, N, Hamri, ZE, Mouhi, HE, Abouzid, Mohamed, El-Sherif, Dina M, Eltewacy, Nael Kamel, Dahman, Nesrine Ben Hadj, Okasha, Salah A, Ghozy, Sherief, Shariful Islam, Sheikh, Elburki, ARF, Ali, AAM, Hasan, MA, Ali, EAA, Mohamed, MNG, Ahmed, MH, Taher, AK, Abdalbaqi, LS, Jasim, NH, Aziz, IA, Dafaallah, AB, Dalla, SB, Mastouri, O, Zarrad, C, Abdelslam, AE, Sayed, ATA, Wassim, K, Shaban, M, Fayez, TM, Nasser, M, Radhi, Z, Alkuwaiti, Z, Alsaffar, A, Elaidy, AM, Hammoud, M, Hammoud, SM, Alturki, AS, Jarkhi, T, Hamza, R, Issa, NM, Kaakeh, RA, Aljondi, OA, Ahmed, AA, Ibrahim, MH, Samy, I, Abdulrahman, F, Fouad, WS, Shahin, N, Salman, S, Ghunaim, S, Elayyan, S, Alkhaled, FA, Elsori, D, Altayeb, SN, Lahham, EE, Jobran, AWM, Salman, AN, Abdelhaq, AI, Akkawi, OH, Al-Hadi, AHS, Gozelan, SNR, Qasim, HSA, Areqi, AA, Thabet, AAA, Drid, B, Menzer, S, Hamdani, M, Alya, Z, Adadi, N, Hamri, ZE, and Mouhi, HE

Abstract

Background: Coronavirus disease (COVID-19) pandemic has affected health and lifestyle behaviors of people globally. This project aims to identify the impact of COVID-19 on lifestyle behavior of individuals in the Middle East and North Africa (MENA) region during confinement. Methods: We conducted an online survey in 17 countries (Egypt, Jordan, United Arab Emirates, Kuwait, Bahrain, Saudi Arabia, Oman, Qatar, Yemen, Syria, Palestine, Algeria, Morocco, Libya, Tunisia, Iraq, and Sudan) from the MENA region on August and September 2020. The questionnaire included self-reported information on lifestyle behaviors, including physical activity, eating habits, smoking, watching television, social media use and sleep before and during the pandemic. Logistic regression was performed to analyze the impact of COVID-19 on lifestyle behaviors. Results: A total of 5896 participants were included in the final analysis and 62.8% were females. The BMI of the participants was 25.4 ± 5.8 kg/m2. Around 38.4% of the participants stopped practicing any physical activities during the confinement (P < 0.001), and 57.1% reported spending more than 2 h on social media (P < 0.001). There were no significant changes in smoking habits. Also, 30.9% reported an improvement in their eating habits compared with 24.8% reported worsening of their eating habits. Fast-food consumption decreased significantly in 48.8% of the study population. This direct/indirect exposure to COVID-19 was associated with an increased consumption of carbohydrates (OR = 1.09; 95% CI = 1.02–1.17; P = 0.01), egg (OR = 1.08; 95% CI = 1.02–1.16; P = 0.01), sugar (OR = 1.09; 95% CI = 1.02–1.16; P = 0.02), meat, and poultry (OR = 1.13; 95% CI = 1.06–1.20; P < 0.01). There was also associated increase in hours spent on watching television (OR = 1.07; 95% CI = 1.02–1.12; P < 0.01) and social media (OR = 1.09; 95% CI = 1.01–1.18; P = 0.03). However, our results showed

Published
2021

33. Orthorectification of WorldView-3 Satellite Image Using Airborne Laser Scanning Data

Author

Pradhan, B, Ahmed, AA, Chakraborty, S, Alamri, A, Lee, C-W, Pradhan, B, Ahmed, AA, Chakraborty, S, Alamri, A, and Lee, C-W

Abstract

Satellite images have been widely used to produce land use and land cover maps and to generate other thematic layers through image processing. However, images acquired by sensors onboard various satellite platforms are affected by a systematic sensor and platform-induced geometry errors, which introduce terrain distortions, especially when the sensor does not point directly at the nadir location of the sensor. To this extent, an automated processing chain of WorldView-3 image orthorectification is presented using rational polynomial coefficient (RPC) model and laser scanning data. The research is aimed at analyzing the effects of varying resolution of the digital surface model (DSM) derived from high-resolution laser scanning data, with a novel orthorectification model. The proposed method is validated on actual data in an urban environment with complex structures. This research suggests that a DSM of 0.31 m spatial resolution is optimum to achieve practical results (root-mean-square error = 0.69 m ) and decreasing the spatial resolution to 20 m leads to poor results (root-mean-square error = 7.17 ). Moreover, orthorectifying WorldView-3 images with freely available digital elevation models from Shuttle Radar Topography Mission (SRTM) (30 m) can result in an RMSE of 7.94 m without correcting the distortions in the building. This research can improve the understanding of appropriate image processing and improve the classification for feature extraction in urban areas.

Published
2021

34. Possible Reasons Why Sub-Saharan Africa Experienced a Less Severe COVID-19 Pandemic in 2020

Author

Oleribe,Obinna O, Suliman,Ahmed AA, Taylor-Robinson,Simon D, Corrah,Tumani, Oleribe,Obinna O, Suliman,Ahmed AA, Taylor-Robinson,Simon D, and Corrah,Tumani

Abstract

Obinna O Oleribe,1 Ahmed AA Suliman,2,3 Simon D Taylor-Robinson,4 Tumani Corrah5 1Office of the Director General, Nigerian Institute of Medical Research, Yabba, Lagos, Nigeria; 2Department of Medicine, Faculty of Medicine, University of Khartoum, Khartoum, Sudan; 3Department of Cardiology, Shab Teaching Hospital, Khartoum, Sudan; 4Department of Surgery and Cancer, Imperial College London, St Mary’s Hospital Campus, London, UK; 5Africa Research Excellence Fund, c/o MRC the Gambia Unit @ LSHTM, Fajara, The GambiaCorrespondence: Simon D Taylor-Robinson Email str338333@gmail.comAbstract: Both scientific authorities and governments of nations worldwide were found lacking in their COVID-19 response and management, resulting in significant distrust by the general public in 2020. Scientific and medical bodies often failed to give the right counsel on the appropriate course of action on COVID-19, because proven steps were not known, while many governments around the world took ineffective, late or inappropriate COVID-19 control and containment strategies. If the 2020 COVID-19 incidence rates are to be believed, much of sub-Saharan Africa had a lower disease prevalence than expected. We put forward six factors peculiar to much of sub-Saharan Africa that may have accounted for the pandemic landscape there in 2020. We also discuss why the situation has become more serious in 2021.Keywords: COVID-19, Africa, public health, multidisciplinary care, pandemic

Published
2021

35. The Natural History of Model Organisms:The unlimited potential of the great pond snail, Lymnaea stagnalis

Author

Fodor, István, Hussein, Ahmed Aa, Benjamin, Paul R., Koene, Joris M., Pirger, Zsolt, and Animal Ecology

Subjects
neuroscience, developmental biology, natural history, evolution, Lymnaea stagnalis, pond snail, exotoxicology
Abstract

Only a limited number of animal species lend themselves to becoming model organisms in multiple biological disciplines: one of these is the great pond snail, Lymnaea stagnalis. Extensively used since the 1970s to study fundamental mechanisms in neurobiology, the value of this freshwater snail has been also recognised in fields as diverse as host-parasite interactions, ecotoxicology, evolution, genome editing and 'omics', and human disease modelling. While there is knowledge about the natural history of this species, what is currently lacking is an integration of findings from the laboratory and the field. With this in mind, this article aims to summarise the applicability of L. stagnalis and points out that this multipurpose model organism is an excellent, contemporary choice for addressing a large range of different biological questions, problems and phenomena.

Published
2020

36. Differential gene expression of tumor-infiltrating CD4+T cells in advanced versus early stage colorectal cancer and identification of a gene signature of poor prognosis

Author

Nair, VS, Saleh, R, Taha, RZ, Toor, SM, Murshed, K, Ahmed, AA, Kurer, MA, Abu Nada, M, Al Ejeh, F, Elkord, E, Nair, VS, Saleh, R, Taha, RZ, Toor, SM, Murshed, K, Ahmed, AA, Kurer, MA, Abu Nada, M, Al Ejeh, F, and Elkord, E

Abstract

Tumor-infiltrating lymphocytes (TILs) play indispensable roles in the progression and response to treatment of solid tumors. However, the prognostic significance of CD4+ TILs is not fully disclosed in cancers generally and in CRC in particular, mainly due to the existence of different functional subsets of CD4+ T cells. We performed transcriptomic profiling of CD4+ TILs isolated from CRC patients in order to identify differentially expressed genes and their functional pathways in early versus advanced disease stages. We found that in advanced stages, genes related to immune and inflammatory responses, in particular Th1-mediated immune response and cytotoxicity-mediated genes, were downregulated; while epigenetic-mediated silencing genes were upregulated. Interestingly, we identified genes, which were steadily upregulated or downregulated in CD4+ TILs with CRC progression from stage I to IV. Additionally, of the top 200 deregulated genes, 43 upregulated and 64 downregulated genes showed similar deregulation trends in the cancer genome atlas CRC dataset. From these 97 deregulated genes, we identified a "poor prognosis CD4 gene signature (ppCD4sig)". Patients with high ppCD4sig score showed shorter disease-specific survival (DSS) and progression-free interval (PFI). The ppCD4sig was an independent prognostic indicator for DSS (HR = 1.73, 95% CI 1.32-2.27, P = 0.0001) and PFI (HR = 1.75, 95% CI 1.3-2.35, P = 0.0016). Additionally, patients at advanced stages and at a younger age (<55 years) were more likely to have a high ppCD4sig score. Altogether, our data provide novel insights and a unique prognostic gene signature of CD4+ TILs in the CRC microenvironment.

Published
2020

37. Evaluation of Plasma Microbial Cell-Free DNA Sequencing to Predict Bloodstream Infection in Pediatric Patients With Relapsed or Refractory Cancer

Author

Goggin, KP, Gonzalez-Pena, V, Inaba, Y, Allison, KJ, Hong, DK, Ahmed, AA, Hollemon, D, Natarajan, S, Mahmud, O, Kuenzinger, W, Youssef, S, Brenner, A, Maron, G, Choi, J, Rubnitz, JE, Sun, Y, Tang, L, Wolf, J, Gawad, C, Goggin, KP, Gonzalez-Pena, V, Inaba, Y, Allison, KJ, Hong, DK, Ahmed, AA, Hollemon, D, Natarajan, S, Mahmud, O, Kuenzinger, W, Youssef, S, Brenner, A, Maron, G, Choi, J, Rubnitz, JE, Sun, Y, Tang, L, Wolf, J, and Gawad, C

Abstract

IMPORTANCE: Bloodstream infection (BSI) is a common, life-threatening complication of treatment for cancer. Predicting BSI before onset of clinical symptoms would enable preemptive therapy, but there is no reliable screening test. OBJECTIVE: To estimate sensitivity and specificity of plasma microbial cell-free DNA sequencing (mcfDNA-seq) for predicting BSI in patients at high risk of life-threatening infection. DESIGN, SETTING, AND PARTICIPANTS: A prospective pilot cohort study of mcfDNA-seq for predicting BSI in pediatric patients (<25 years of age) with relapsed or refractory cancers at St Jude Children's Research Hospital, a specialist quaternary pediatric hematology-oncology referral center. Remnant clinical blood samples were collected during chemotherapy and hematopoietic cell transplantation. Samples collected during the 7 days before and at onset of BSI episodes, along with negative control samples from study participants, underwent blinded testing using a mcfDNA-seq test in a Clinical Laboratory Improvement Amendments/College of American Pathologists-approved laboratory. MAIN OUTCOMES AND MEASURES: The primary outcomes were sensitivity of mcfDNA-seq for detecting a BSI pathogen during the 3 days before BSI onset and specificity of mcfDNA-seq in the absence of fever or infection in the preceding or subsequent 7 days. RESULTS: Between August 9, 2017, and June 4, 2018, 47 participants (27 [57%] male; median age [IQR], 10 [5-14] years) were enrolled; 19 BSI episodes occurred in 12 participants, and predictive samples were available for 16 episodes, including 15 bacterial BSI episodes. In the 3 days before the onset of infection, predictive sensitivity of mcfDNA-seq was 75% for all BSIs (12 of 16; 95% CI, 51%-90%) and 80% (12 of 15; 95% CI, 55%-93%) for bacterial BSIs. The specificity of mcfDNA-seq, evaluated on 33 negative control samples from enrolled participants, was 82% (27 of 33; 95% CI, 66%-91%) for any bacterial or fungal organism and 91% (30 of 33; 95%

Published
2020

38. Transcriptomic profiling disclosed the role of DNA methylation and histone modifications in tumor-infiltrating myeloid-derived suppressor cell subsets in colorectal cancer

Author

Sasidharan Nair, V, Saleh, R, Toor, SM, Taha, RZ, Ahmed, AA, Kurer, MA, Murshed, K, Alajez, NM, Abu Nada, M, Elkord, E, Sasidharan Nair, V, Saleh, R, Toor, SM, Taha, RZ, Ahmed, AA, Kurer, MA, Murshed, K, Alajez, NM, Abu Nada, M, and Elkord, E

Abstract

BACKGROUND: Increased numbers of myeloid-derived suppressor cells (MDSCs) are positively correlated with poor prognosis and reduced survivals of cancer patients. They play central roles in tumor immune evasion and tumor metastasis. However, limited data are available on phenotypic/transcriptomic characteristics of the different MDSCs subsets in cancer. These cells include immature (I-MDSCs), monocytic (M-MDSCs), and polymorphonuclear/granulocytic (PMN-MDSCs). METHODS: Phenotypic characterization of myeloid subsets from 27 colorectal cancer (CRC) patients was assessed by flow cytometric analyses. RNA-sequencing of sorted I-MDSCs, PMN-MDSCs, and antigen-presenting cells (APCs) was also performed. RESULTS: We found that the levels of I-MDSCs and PMN-MDSCs were increased in tumor tissues (TT), compared with normal tissues (NT) in colorectal cancer. Our functional annotation analyses showed that genes associated with histone deacetylase (HDAC) activation- and DNA methylation-mediated transcriptional silencing were upregulated, and histone acetyl transferase (HAT)-related genes were downregulated in tumor-infiltrating I-MDSCs. Moreover, pathways implicated in cell trafficking and immune suppression, including Wnt, interleukin-6 (IL-6), and mitogen-activated protein kinase (MAPK) signaling, were upregulated in I-MDSCs. Notably, PMN-MDSCs showed downregulation in genes related to DNA methylation and HDAC binding. Using an ex vivo model, we found that inhibition of HDAC activation or neutralization of IL-6 in CRC tumor tissues downregulates the expression of genes associated with immunosuppression and myeloid cell chemotaxis, confirming the importance of HDAC activation and IL-6 signaling pathway in MDSC function and chemotaxis. CONCLUSIONS: This study provides novel insights into the epigenetic regulations and other molecular pathways in different myeloid cell subsets within the CRC tumor microenvironment (TME), giving opportunities to potential targets for therapeutic bene

Published
2020

41. Impact of Water Stress on the Planktonic Biodiversity of the Youssef Ben Tachafine Dam (Souss Massa, Morocco)

Author

Fatima Boudarfa, El Mahjoub Gallouli, Mohamed El Hafa, Ahmed Aamiri, and Hassan Oulad Ali

Subjects
biodiversity, youssef ben tachafine dam, zooplankton, phytoplankton, drought, Ecology, QH540-549.5
Abstract

Drought is a large-scale disturbance that affects freshwater ecosystems worldwide. This recurrent phenomenon in Morocco, has experienced severe episodes during the last decade and has caused water stress in several aquatic ecosystems including the Youssef Ben Tachafine dam. Indeed, the volume of this reservoir has experienced its lowest historical hydrological level (12%) during the study period. To study the effects of water stress on water quality and planktonic community structure, water samples were collected from January 2019 to December 2020 at nine depths. The physicochemical parameters of the water were measured in parallel with the qualitative and quantitative study of the phytoplankton and zooplankton communities. The results obtained show a low planktonic diversity with only 43 phytoplanktonic species and 27 zooplanktonic species. The phytoplankton showed an almost permanent predominance of Chlorophyceae (85%), dominated by Closterium pronum, followed by Diatomophyceae (9.5%), dominated by Cyclotella ocellata. Rotifers represent the most abundant zooplanktonic group during the study period with two dominant species (Keratella tecta and Polyarthra vulgaris). Statistical analysis of the data from this study, using R software, revealed a negative correlation between Cladoceran species, Copepods and the diatom Cyclotella ocellata on the one hand and the decrease in water level, temperature and enrichment of the environment in nutrients and phytoplanktonic biomass on the other. This study shows that the effect of the extreme drought, which the Youssef Ben Tachafine dam has experienced, has altered the diversity and structure of planktonic communities, which threatens the sustainability of ecological services of this ecosystem.

Published
2023
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42. Vehicular traffic noise prediction and propagation modelling using neural networks and geospatial information system

Author

Ahmed, AA and Pradhan, B

Subjects
Motor Vehicles, Noise, Transportation, Geographic Information Systems, Malaysia, Neural Networks, Computer, Neural Networks (Computer), Models, Theoretical, Environmental Sciences, Environmental Monitoring
Abstract

© 2019, Springer Nature Switzerland AG. This study proposes a neural network (NN) model to predict and simulate the propagation of vehicular traffic noise in a dense residential area at the New Klang Valley Expressway (NKVE) in Shah Alam, Malaysia. The proposed model comprises of two main simulation steps: that is, the prediction of vehicular traffic noise using NN and the simulation of the propagation of traffic noise emission using a mathematical model. First, the NN model was developed with the following selected noise predictors: the number of motorbikes, the sum of vehicles, car ratio, heavy vehicle ratio (e.g. truck, lorry and bus), highway density and a light detection and ranging (LiDAR)-derived digital surface model (DSM). Subsequently, NN and its hyperparameters were optimised by a systematic optimisation procedure based on a grid search approach. The noise propagation model was then developed in a geographic information system (GIS) using five variables, namely road geometry, barriers, distance, interaction of air particles and weather parameters. The noise measurement was conducted continuously at 15-min intervals and the data were analysed by taking the minimum, maximum and average values recorded during the day. The measurement was performed four times a day (i.e. morning, afternoon, evening, and midnight) over two days of the week (i.e. Sunday and Monday). An optimal radial basis function NN was used with 17 hidden layers. The learning rate and momentum values were 0.05 and 0.9, respectively. Finally, the accuracy of the proposed method achieved 78.4% with less than 4.02 dB (A) error in noise prediction. Overall, the proposed models were found to be promising tools for traffic noise assessment in dense urban areas.

Published
2019

43. Traffic Emission Modelling Using LiDAR Derived Parameters and Integrated Geospatial Model

Author

Pradhan, B, Azeez, OS, Jena, R, Jung, H-S, and Ahmed, AA

Abstract

Traffic emissions are the main cause of environmental pollution in cities and respiratory problems amongst people. This study developed a model based on an integration of support vector regression (SVR) algorithm and geographic information system (GIS) to map traffic carbon monoxide (CO) concentrations and produce prediction maps from micro level to macro level at a particular time gap in a day in a very densely populated area (Utara-Selatan Expressway-NKVE, Kuala Lumpur, Malaysia). The proposed model comprised two models: the first model was implemented to estimate traffic CO concentrations using the SVR model, and the second model was applied to create prediction maps at different times a day using the GIS approach. The parameters for analysis were collected from field survey and remote sensing data sources such as very-high-resolution aerial photos and light detection and ranging point clouds. The correlation coefficient was 0.97, the mean absolute error was 1.401 ppm and the root mean square error was 2.45 ppm. The proposed models can be effectively implemented as decision-making tools to find a suitable solution for mitigating traffic jams near tollgates, highways and road networks.

Published
2019

44. The In Vitro Immunomodulatory Effects Of Gold Nanoparticles Synthesized From Hypoxis hemerocallidea Aqueous Extract And Hypoxoside On Macrophage And Natural Killer Cells

Author

Elbagory,Abdulrahman M, Hussein,Ahmed AA, Meyer,Mervin, Elbagory,Abdulrahman M, Hussein,Ahmed AA, and Meyer,Mervin

Abstract

Abdulrahman M Elbagory,1 Ahmed A Hussein,2 Mervin Meyer1 1DST/Mintek Nanotechnology Innovation Centre, Department of Biotechnology, University of the Western Cape, Bellville 7535, South Africa; 2Chemistry Department, Cape Peninsula University of Technology, Bellville 7535, South AfricaCorrespondence: Mervin MeyerDepartment of Biotechnology, University of the Western Cape, Private Bag X17, Bellville 7535, South AfricaTel +27 21 959 2032Fax +27 21 959 3505Email memeyer@uwc.ac.zaBackground: Macrophages and Natural Killer (NK) cells are an integral part of the innate immune system. These cells produce pro-inflammatory cytokines in response to bacterial infections. However, prolonged inflammation can be a contributing factor in the etiology of several diseases such as rheumatoid arthritis, inflammatory bowel disease, multiple sclerosis, psoriasis and eczema. Reducing the secretion of pro-inflammatory cytokines is an effective treatment strategy for these conditions. Gold nanoparticles (AuNPs) have been shown to have immunosuppressive effects. Extracts of the Hypoxis hemerocallidea plant have also been shown to have immunomodulatory effects. It has been demonstrated previously that extracts of the H. hemerocallidea can be used to synthesize AuNPs.Purpose: This study aimed to investigate whether AuNPs synthesized using H. hemerocallidea extract and its major secondary metabolite, hypoxoside, have any immunomodulatory effects in macrophages and NK cells.Methodology: AuNPs derived from the H. hemerocallidea extract were synthesized as previously described. Using similar methodologies, this study shows for the first time the synthesis of AuNPs from hypoxoside. The AuNPs were characterized using several optical and spectroscopic techniques. The immunomodulatory effects of the aqueous extract of H. hemerocallidea, hypoxoside, as well as the AuNPs produced from the extract and hypoxoside, were investigated by measuring the cytokine levels in macrophages (IL-1β, IL-6 and

Published
2019

45. Critical questions in ovarian cancer research and treatment: Report of an American Association for Cancer Research Special Conference

Author

Bast, RC, Matulonis, UA, Sood, AK, Ahmed, AA, Amobi, AE, Balkwill, FR, Wielgos-Bonvallet, M, Bowtell, DDL, Brenton, JD, Brugge, JS, Coleman, RL, Draetta, GF, Doberstein, K, Drapkin, RI, Eckert, MA, Edwards, RP, Elias, KM, Ennis, D, Futreal, A, Gershenson, DM, Greenberg, RA, Huntsman, DG, Ji, JXY, Kohn, EC, Iavarone, C, Lengyel, ER, Levine, DA, Lord, CJ, Lu, Z, Mills, GB, Modugno, F, Nelson, BH, Odunsi, K, Pilsworth, JA, Rottapel, RK, Powell, DJ, Shen, L, Shih, I-M, Spriggs, DR, Walton, J, Zhang, K, Zhang, R, Zou, L, Bast, RC, Matulonis, UA, Sood, AK, Ahmed, AA, Amobi, AE, Balkwill, FR, Wielgos-Bonvallet, M, Bowtell, DDL, Brenton, JD, Brugge, JS, Coleman, RL, Draetta, GF, Doberstein, K, Drapkin, RI, Eckert, MA, Edwards, RP, Elias, KM, Ennis, D, Futreal, A, Gershenson, DM, Greenberg, RA, Huntsman, DG, Ji, JXY, Kohn, EC, Iavarone, C, Lengyel, ER, Levine, DA, Lord, CJ, Lu, Z, Mills, GB, Modugno, F, Nelson, BH, Odunsi, K, Pilsworth, JA, Rottapel, RK, Powell, DJ, Shen, L, Shih, I-M, Spriggs, DR, Walton, J, Zhang, K, Zhang, R, and Zou, L

Abstract

Substantial progress has been made in understanding ovarian cancer at the molecular and cellular level. Significant improvement in 5-year survival has been achieved through cytoreductive surgery, combination platinum-based chemotherapy, and more effective treatment of recurrent cancer, and there are now more than 280,000 ovarian cancer survivors in the United States. Despite these advances, long-term survival in late-stage disease has improved little over the last 4 decades. Poor outcomes relate, in part, to late stage at initial diagnosis, intrinsic drug resistance, and the persistence of dormant drug-resistant cancer cells after primary surgery and chemotherapy. Our ability to accelerate progress in the clinic will depend on the ability to answer several critical questions regarding this disease. To assess current answers, an American Association for Cancer Research Special Conference on "Critical Questions in Ovarian Cancer Research and Treatment" was held in Pittsburgh, Pennsylvania, on October 1-3, 2017. Although clinical, translational, and basic investigators conducted much of the discussion, advocates participated in the meeting, and many presentations were directly relevant to patient care, including treatment with poly adenosine diphosphate ribose polymerase (PARP) inhibitors, attempts to improve immunotherapy by overcoming the immune suppressive effects of the microenvironment, and a better understanding of the heterogeneity of the disease.

Published
2019

46. Land use and land cover mapping using rule-based classification in Karbala City, Iraq

Author

Ahmed, AA, Kalantar, B, Pradhan, B, Mansor, S, Sameen, MI, Ahmed, AA, Kalantar, B, Pradhan, B, Mansor, S, and Sameen, MI

Abstract

© Springer Nature Singapore Pte Ltd. 2019. Land use and land cover are important and useful geographic information system (GIS) layers that have been used for a wide range of geospatial applications. These layers are usually generated by applying digital image processing steps for a satellite image or images captured from an aircraft. Several methods are available in literature to produce such GIS layers. Image classification is the main method that has been used by many researchers to produce thematic maps. In the current study, a decision tree was used to develop rulesets at object level. These rules were applied and a thematic map of Karbala city was produced from SPOT image. The overall accuracy of the classification image was 96% and the kappa index was 0.95. The results indicated that the proposed classification method is effective and can produce promising results.

Published
2019

47. An optimized object-based analysis for vegetation mapping using integration of Quickbird and Sentinel-1 data

Author

Ahmed, AA, Pradhan, B, Sameen, MI, and Makky, AM

Abstract

© 2018, Saudi Society for Geosciences. This study proposed a workflow for an optimized object-based analysis for vegetation mapping using integration of Quickbird and Sentinel-1 data. The method is validated on a set of data captured over a part of Selangor located in the Peninsular Malaysia. The method comprised four components including image segmentation, Taguchi optimization, attribute selection using random forest, and rule-based feature extraction. Results indicated the robustness of the proposed approach as the area under curve of forest; grassland, old oil palm, rubber, urban tree, and young oil palm were calculated as 0.90, 0.89, 0.87, 0.87, 0.80, and 0.77, respectively. In addition, results showed that SAR data is very useful for extracting rubber and young oil palm trees (given by random forest importance values). Finally, further research is suggested to improve segmentation results and extract more features from the scene.

Published
2018

49. Serum markers for asymptomatic atherosclerosis in Egyptian psoriatic patients: study controlled by Doppler estimation of carotid intima-media thickness

Author

Sabry,Hanan, Sabry,Jehan H, Daifalla,Aliaa EH, Akl,Essam M, Hamed,Ahmed M, Torky,Ahmed AA, Sabry,Hanan, Sabry,Jehan H, Daifalla,Aliaa EH, Akl,Essam M, Hamed,Ahmed M, and Torky,Ahmed AA

Abstract

Hanan Hassan Sabry,1 Jehan Hassan Sabry,2 Aliaa El Husseiny Daifalla,1 Essam Mohamed Akl,1 Ahmed Mohamed Hamed,1 Ahmed Abd Allah Torky3 1Department of Dermatology, Venereology and Andrology, Faculty of Medicine, Benha University, Benha, Egypt; 2Department of Clinical and Chemical Pathology, Faculty of Medicine, Benha University, Benha, Egypt; 3Department of Radiology, Faculty of Medicine, Benha University, Benha, Egypt Background: The aim of the study was to measure serum levels of endocan, myeloperoxidase (MPO), pentraxin 3 (PTX3) and 1,25-dihydroxyvitamin D3 (1,25(OH)2D3) in psoriatic patients and to study their correlations with carotid intima-media thickness (CIMT) in trial to evaluate predictability of these parameters in diagnosing asymptomatic atherosclerosis (AAS).Patients and methods: Seventy-five psoriasis patients and 75 control subjects underwent complete clinical examination and Doppler estimation of CIMT using thickness of 0.9 mm as cutoff point for diagnosis of AAS. Blood samples were collected for determination of fasting blood glucose, lipid profile and serum C-reactive protein (CRP), endocan, MPO, PTX3 and 1,25(OH)2D3.Results: Estimated blood low-density lipoprotein cholesterol (LDL-c) and serum CRP, PTX3, MPO and endocan levels were significantly higher, while blood high-density lipoprotein cholesterol (HDL-c) and serum 1,25(OH)2D3 levels were significantly lower in patients than in controls. CIMT showed significant positive correlation with disease severity and duration; patients’ age; and endocan, MPO, LDL-c, PTX3 and CRP levels, and significant negative correlation with HDL-c and 1,25(OH)2D3 levels. Regression analysis defined high serum endocan and MPO, low serum 1,25(OH)2D3 and increased disease severity as significant predictors of high CIMT.Conclusion: Elevated serum levels of endocan and MPO and low 1,25(OH)2D3 levels may underlie the development of psoriasis-related cardiac manifestations. Elevated serum endocan and low 1,25(OH)

Published
2018

50. Investigation the Influence of adding Nano –Yttria Partially Stabilized Zirconia (NZrO2-5wt%YPSZ) on the Physical and Mechanical Properties of Concrete

Author

Hadeel Z. Mahmoud, Zainab H.Naji, Salim F. Salman, Adel K. Mahmoud, Elyor Berdimurodov, Ahmed AAG Alrubaiy, Hutheifa J. Khalifa, and Hasan Okuyucu

Subjects
Nano Zirconia, Building materials, Nanoparticles, Tensile strength, Engineering machinery, tools, and implements, TA213-215, Mechanics of engineering. Applied mechanics, TA349-359, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Chemical engineering, TP155-156, Environmental engineering, TA170-171
Abstract

Building materials showed remarkable progress, as many methods were used to enhance their properties, such as nanomaterials which have played a major role in this field. This research reveals the complex integration of nano-zirconi (NZrO2-5wt%YPSZ). as with concrete and its effect on the different mechanical properties. The main objective of this research is to reduce the porosity of concrete by adding doses of nano-zirconia to the concrete mixture to enhance the microstructure, which enhances its mechanical properties. The results showed that the addition of nano-zirconia decreased concrete slump, and also increased the rates of absorption and porosity due to the agglomeration of nanoparticles. The compressive strength increased to reach 30, 47.5, and 60 MPa at the ages of 7, 28, and 90 days, respectively. The splitting tensile strength increased when the zirconia content was increased, reaching its highest level when substituting 0.7wt% when compared with the reference mixture. In summary, the current study sheds light on the effect of nano-zirconia on the mechanical properties of concrete by filling the pores, which enhances its microstructure because it reshapes the complex texture of the concrete mixture.

Published
2023
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