Author: "Alhaj A" / Publication Year Range: This year - Searchworks@Jio Institute Digital Library Search Results

361 results on '"Alhaj A"'

1. Immunometabolic cues recompose and reprogram the microenvironment around implanted biomaterials

Author: Maduka, Chima V., Schmitter-Sánchez, Axel D., Makela, Ashley V., Ural, Evran, Stivers, Katlin B., Pope, Hunter, Kuhnert, Maxwell M., Habeeb, Oluwatosin M., Tundo, Anthony, Alhaj, Mohammed, Kiselev, Artem, Chen, Shoue, Donneys, Alexis, Winton, Wade P., Stauff, Jenelle, Scott, Peter J. H., Olive, Andrew J., Hankenson, Kurt D., Narayan, Ramani, Park, Sangbum, Elisseeff, Jennifer H., and Contag, Christopher H.
Published: 2024
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2. Timing of Endoscopic Intervention for Esophageal Food Impaction and Its Impact on Patient Outcomes

Author: Obri, Mark S., Samad, Momin, Alhaj, Suhib, Chaudhary, Ammad, Rehman, Sheema, Ramzi Almajed, M., Rose, Courtney, Schultz, Lonni, Harris, Kevin, and Suresh, Suraj
Published: 2024
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3. Biplanar MRI significantly improves early detection of transient global amnesia

Author: Alhaj Omar, Omar, Mrochen, Anne, Diel, Norma J., Gerner, Stefan T., Huttner, Hagen B., Heinrichs, Julia, and Braun, Tobias
Published: 2024
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4. A comparison between robotic-assisted and open approaches for large ventral hernia repair—a multicenter analysis of 30 days outcomes using the ACHQC database

Author: Lima, Diego L., Nogueira, Raquel, Ma, Jianing, Jalloh, Mohamad, Keisling, Shannon, Saleh, Adel Alhaj, and Sreeramoju, Prashanth
Published: 2024
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5. Formation of Microstructure and Mechanical Properties of Co-Cr-Mo Alloy by Hot Forging and Subsequent Radial Shear Rolling

Author: Gamin, Yury, Kin, Tatiana, Galkin, Sergei, Skugorev, Alexander, Karashaev, Mukhamed, and Mahmoud Alhaj Ali, Abdullah
Published: 2024
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6. SRFE: A stepwise recursive feature elimination approach for network intrusion detection systems

Author: Qasem, Abdelaziz Alshaikh, Qutqut, Mahmoud H., Alhaj, Fatima, and Kitana, Asem
Published: 2024
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7. Does board–CEO age similarity affect earnings management? An empirical analysis from M&A contexts

Author: Nguyen, Thang, Alhababsah, Salem, Nguyen, Thai, and Alhaj-Ismail, Alaa
Published: 2024
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8. Developing an AI Tool to Derive Social Determinants of Health for Primary Care Patients: Qualitative Findings From a Codesign Workshop

Author: Garies, Stephanie, Liang, Simon, Weyman, Karen, Ramji, Noor, Alhaj, Mo, and Pinto, Andrew D.
Subjects: Artificial intelligence, Technology application, Urban health -- Analysis, Artificial intelligence -- Usage -- Health aspects, Primary nursing -- Practice, Workshops (Educational programs) -- Technology application
Abstract: PURPOSE Information about social determinants of health (SDOH) is essential for primary care clinicians in the delivery of equitable, comprehensive care, as well as for program planning and resource allocation. SDOH are rarely captured consistently in clinical settings, however. Artificial intelligence (AI) could potentially fill these data gaps, but it needs to be designed collaboratively and thoughtfully. We report on a codesign process with primary care clinicians to understand how an AI tool could be developed, implemented, and used in practice. METHODS We conducted semistructured, 50-minute workshops with a large urban family health team in Toronto, Ontario, Canada asking their feedback on a proposed AI- based tool used to derive patient SDOH from electronic health record data. An inductive thematic analysis was used to describe participants' perspectives regarding the implementation and use of the proposed tool. RESULTS Fifteen participants contributed across 4 workshops. Most patient SDOH information was not available or was difficult to find in their electronic health record. Discussions focused on 3 areas related to the implementation and use of an AI tool to derive social data: people, process, and technology. Participants recommended starting with 1 or 2 social determinants (income and housing were suggested as priorities) and emphasized the need for adequate resources, staff, and training materials. They noted many challenges, including how to discuss the use of AI with patients and how to confirm their social needs identified by the AI tool. CONCLUSIONS Our codesign experience provides guidance from end users on the appropriate and meaningful design and implementation of an AI-based tool for social data in primary care. Key words: primary care; artificial intelligence; codesign; qualitative methods; social factors in health and health care; practice-based research; vulnerable populations https://doi.org/10.1370/afm.3117, INTRODUCTION Artificial intelligence (AI) has increasingly become part of our society, including in health care. The use of AI in primary care, in particular, has the potential for widespread impact [...]
Published: 2024
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9. Chimeric antigen receptor T-cell infusion for large B-cell lymphoma in complete remission: a center for international blood and marrow transplant research analysis

Author: Wang, Trent P., Ahn, Kwang W., Shadman, Mazyar, Kaur, Manmeet, Ahmed, Nausheen, Bacher, Ulrike, Cerny, Jan, Chen, Andy, Epperla, Narendranath, Frigault, Matthew, Grover, Natalie, Haverkos, Bradley, Hill, Brian, Hossain, Nasheed, Iqbal, Madiha, Jain, Tania, Krem, Maxwell M., Maakaron, Joseph, Modi, Dipenkumar, Alhaj Moustafa, Muhamad, Riedell, Peter, Savani, Bipin, Sica, R. Alejandro, Sureda, Anna, Wudhikarn, Kitsada, Herrera, Alex F., Sauter, Craig, Hamadani, Mehdi, and Jimenez Jimenez, Antonio
Published: 2024
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10. Performance Analysis of ConvLSTM, FlamMap, and CA Algorithms to Predict Wildfire Spread in Golestan National Park, NE Iran

Author: Khalaf, Mhd. Wathek Alhaj, Jouibary, Shaban Shataee, and Jahdi, Roghayeh
Published: 2024
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11. Identifying new earnings management components: a machine learning approach

Author: Almasarwah, Adel, Aram, Khalid Y., and Alhaj-Yaseen, Yaseen S.
Published: 2024
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12. Regulating the proinflammatory response to composite biomaterials by targeting immunometabolism

Author: Chima V. Maduka, Ashley V. Makela, Anthony Tundo, Evran Ural, Katlin B. Stivers, Maxwell M. Kuhnert, Mohammed Alhaj, Ehsanul Hoque Apu, Nureddin Ashammakhi, Kurt D. Hankenson, Ramani Narayan, Jennifer H. Elisseeff, and Christopher H. Contag
Subjects: Hydroxyapatite, Polylactide, Immunometabolism, Inflammation, Regenerative medicine, Materials of engineering and construction. Mechanics of materials, TA401-492, Biology (General), QH301-705.5
Abstract: Composite biomaterials comprising polylactide (PLA) and hydroxyapatite (HA) are applied in bone, cartilage and dental regenerative medicine, where HA confers osteoconductive properties. However, after surgical implantation, adverse immune responses to these composites can occur, which have been attributed to size and morphology of HA particles. Approaches to effectively modulate these adverse immune responses have not been described. PLA degradation products have been shown to alter immune cell metabolism (immunometabolism), which drives the inflammatory response. Accordingly, to modulate the inflammatory response to composite biomaterials, inhibitors were incorporated into composites comprised of amorphous PLA (aPLA) and HA (aPLA + HA) to regulate glycolytic flux. Inhibition at specific steps in glycolysis reduced proinflammatory (CD86+CD206-) and increased pro-regenerative (CD206+) immune cell populations around implanted aPLA + HA. Notably, neutrophil and dendritic cell (DC) numbers along with proinflammatory monocyte and macrophage populations were decreased, and Arginase 1 expression among DCs was increased. Targeting immunometabolism to control the proinflammatory response to biomaterial composites, thereby creating a pro-regenerative microenvironment, is a significant advance in tissue engineering where immunomodulation enhances osseointegration and angiogenesis, which could lead to improved bone regeneration.
Published: 2024
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13. The legal, ethical, and psychological aspects of self-determination and right to information access for people with visual impairment: a critical review

Author: Hamid A. Alhaj, Mahmoud Fayyad, and Maha Saber-Ayad
Subjects: History of scholarship and learning. The humanities, AZ20-999, Social Sciences
Abstract: Abstract Self-determination is an inherent and indisputable legal entitlement that must be universally available to every individual, irrespective of their physical capabilities. In the case of people who are blind or have low vision, these rights are often challenged. Access to information is a major factor in facilitating choices that align with their goals, aspirations, and meaningful participation in society. This critical review examines the legal, ethical, and psychological dimensions of information access and self-determination for individuals with visual impairments. The legal framework for self-determination and the right to information is primarily shaped by international human rights treaties and domestic legislation. Notably, international conventions such as the Convention on the Rights of Persons with Disabilities (CRPD) and the Universal Declaration of Human Rights (UDHR) provide safeguards to ensure that individuals with visual impairment are afforded equal opportunities for societal engagement, including unrestricted access to information. However, implementing these laws remains challenging in many countries, particularly developing nations. This literature review highlights significant ethical implications of denying individuals with visual impairment access to information, leading to disempowerment and a lack of agency. Psychologically, self-determination and the right to information have been demonstrated as essential factors for the well-being of visually impaired individuals. Depression and anxiety are among the most prevalent mental health conditions in individuals with visual impairment. It has been shown that the inability to make choices that align with patients’ values and beliefs can negatively impact their mental health. A critical evaluation of the cultural and psychological barriers to information access can offer valuable insights into how international human rights treaties and domestic laws can be effectively implemented to safeguard the rights of individuals with visual impairments. The literature is scarce on preventive and early intervention strategies to mitigate mental health issues within this group, highlighting the need for further research.
Published: 2024
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14. Mitigating gadolinium toxicity in guar (Cyamopsis tetragonoloba L.) through the symbiotic associations with arbuscular mycorrhizal fungi: physiological and biochemical insights

Author: Hamada AbdElgawad, Carmine Crecchio, Mousa nhs, Mostafa A. Abdel-Maksoud, Abdul Malik, Mohamed S. Sheteiwy, Yousef Alhaj Hamoud, Saad Sulieman, Hiba Shaghaleh, Mohammed Alyafei, and Mohammad Yaghoubi Khanghahi
Subjects: Arbuscular mycorrhizal fungi, Gadolinium, Guar, Metabolites, Rare earth element, Botany, QK1-989
Abstract: Abstract Background Gadolinium (Gd) is an increasingly found lanthanide element in soil; thus, understanding its impact on plant physiology, biochemistry, and molecular responses is crucial. Here, we aimed to provide a comprehensive understanding of Gd (150 mg kg− 1) impacts on guar (Cyamopsis tetragonoloba L.) plant yield and metabolism and whether the symbiotic relationship with arbuscular mycorrhizal fungi (AMF) can mitigate Gd toxicity of soil contamination. Results AMF treatment improved mineral nutrient uptake and seed yield by 38–41% under Gd stress compared to non-inoculated stressed plants. Metabolic analysis unveiled the defense mechanisms adopted by AMF-treated plants, revealing carbon and nitrogen metabolism adaptations to withstand Gd contamination. This included an increase in the synthesis of primary metabolites, such as total sugar (+ 39% compared to control), soluble sugars (+ 29%), starch (+ 30%), and some main amino acids like proline (+ 57%) and phenylalanine (+ 87%) in the seeds of AMF-treated plants grown under Gd contamination. Furthermore, fatty acid and organic acid profile changes were accompanied by the production of secondary metabolites, including tocopherols, polyamines, phenolic acids, flavones, and anthocyanins. Conclusions Overall, the coordinated synthesis of these compounds underscores the intricate regulatory mechanisms underlying plant-AMF interactions and highlights the potential of AMF to modulate plant secondary metabolism for enhanced Gd stress tolerance.
Published: 2024
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15. The Incidences of KEL Blood Group Antigens and Phenotypes in Southwestern Saudi Arabia

Author: Halawani AJ, Abu-Tawil HI, Alharbi S, Almalki BS, Majmi FM, Miny RA, Alghoribi NG, Alabsi SS, Kabrah SM, Alhaj HO, Alshahrani MM, and Hakami NY
Subjects: kell blood group, blood transfusion, immunohematology, saudi arabia, Medicine (General), R5-920
Abstract: Amr J Halawani,1 Hisham I Abu-Tawil,2,3 Salah Alharbi,4 Bandar S Almalki,5 Fawaz M Majmi,6 Renad A Miny,1 Nada G Alghoribi,1 Sulaiman S Alabsi,7 Saeed M Kabrah,1 Haneen O Alhaj,8 Musaed M Alshahrani,9 Nora Y Hakami10 1Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia; 2Department of Laboratory and Blood Bank, Prince Mohammed Bin Nasser Hospital, Ministry of Health, Jazan, Saudi Arabia; 3Department of Laboratory and Blood Bank, King Faisal Medical City for Southern Regions, Ministry of Health, Abha, Saudi Arabia; 4Armed Forces Hospital in Jazan, Ministry of Defence, Jazan, Saudi Arabia; 5General Medical Committee, tDirectorate General of Health Affairs, Jazan, Saudi Arabia; 6Department of Pharmacy, Ahad Al Masarihah General Hospital, Ministry of Health, Jazan, Saudi Arabia; 7King Abdulaziz Medical City, Jeddah, Saudi Arabia; 8Kholoud Laboratory for Medical Analysis, Makkah, Saudi Arabia; 9Blood Bank Laboratory, Prince Sultan Military Medical City, Saudi Arabia; 10Department of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi ArabiaCorrespondence: Amr J Halawani, Department of Clinical Laboratory Sciences, Faculty of Applied Medical Sciences Umm Al-Qura University, Makkah, Saudi Arabia, Email ajjhalawani@uqu.edu.saPurpose: Jazan Province in Saudi Arabia is notable for its high prevalence of inherited hemoglobinopathies, including sickle cell disease and thalassemia, necessitating frequent blood transfusions for affected individuals. To mitigate risks such as RBC alloimmunization and hemolytic transfusion reactions, ensuring blood compatibility is crucial. The Kell (KEL) blood group system, pivotal alongside the ABO and RH systems, encompasses multiple antigens implicated in these complications. This study aimed to investigate the frequencies of KEL blood group antigens (K, k, Kpa, and Kpb) and determine KEL phenotypes (K/k and Kpa/Kpb) among Saudi blood donors living in Jazan Province.Methods: A total of 138 anonymous healthy Saudi blood donors from Prince Mohammed bin Nasser Hospital in Jazan Province, Saudi Arabia, were enrolled in this study. Anticoagulated blood was analyzed using the gel card technique to assess K, k, Kpa, and Kpb antigens.Results: The prevalence of KEL antigens was as follows: K (n = 9, 6.52%), k (n = 137, 99.28%), Kpa (n = 1, 0.72%), and Kpb (n = 138, 100%). KEL phenotypes observed were K+k+ (n = 8, 5.80%), K+k− (n = 1 0.72%), K−k+ (n = 129, 93.48%), Kp(a+b+) (n = 1, 0.72%), and Kp(a−b+) (n = 137, 99.28%).Conclusion: This study provides insights into the prevalence of KEL blood group antigens and phenotypes in Jazan Province, Saudi Arabia. These findings may contribute to the establishment of a national blood group database and guide transfusion practices to ensure compatibility and minimize alloimmunization risks.Keywords: Kell blood group, blood transfusion, immunohematology, Saudi Arabia
Published: 2024

16. Association of postoperative delirium with hypotension in critically ill patients after cardiac surgery: a prospective observational study

Author: Saleh Mohammed Alhaj Othman, Mohammed Ali Ali Aziz, Gaber Musaed Ali Al-Mushiki, Chanyanud Sriwayyapram, Tecleab okubai, Gamil Al-Muwaffaq, Qin Xu, and Mohammed Alqudaimi
Subjects: Delirium, Postoperative hypotension, Surgery-related complications, Adult population, Open heart surgery, Postoperative care, Surgery, RD1-811, Anesthesiology, RD78.3-87.3
Abstract: Abstract Background Postoperative delirium (POD), an acute and variable disturbance in cognitive function, is an intricate and elusive phenomenon that occurs after cardiac surgery. Despite progress in surgical techniques and perioperative management, POD remains a formidable challenge, imposing a significant burden on patients, caregivers, and healthcare systems. Methods This prospective observational study involved 307 patients who underwent cardiac surgery. Data on the occurrence of delirium, clinical parameters, and postoperative characteristics were collected. A multivariate analysis was performed to assess the relationship between POH and POD. Results Sixty-one patients (21%) developed delirium, with an average onset of approximately 5 days postoperatively and a duration of approximately 6 days. On multivariate analysis, POH was significantly associated with POD, and the adjusted odds ratios indicated that patients with POH were more likely to develop delirium (OR, 5.61; p = 0.006). Advanced age (OR, 1.11; p = 0.002), emergency surgery (OR, 8.31; p = 0.001), and on-pump coronary artery bypass grafting were identified as risk factors of POD. Patients who developed delirium were typically older, more likely to be male, and had higher morbidity rates than those who did not. Conclusion POH is significantly associated with delirium in critically ill patients after cardiac surgery. Surgical complexity and advanced age contribute to the risk of developing POD and poor postoperative outcomes.
Published: 2024
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17. Identification of early delirium and its outcomes after cardiopulmonary bypass among adult patients with cardiovascular disease: a prospective observational study

Author: Othman, Saleh Mohammed Alhaj, Xu, Qin, Zhao, Kang, Kafi, Lina, and Aziz, Mohammed Ali Ali
Published: 2024
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18. Whole-genome sequencing of multidrug-resistant Escherichia coli causing urinary tract infection in an immunocompromised patient: a case report

Author: Mohammed Yahya Ahmed, Babbiker Mohammed Taher Gorish, Esraa Mohammed Alhaj, Mayasir Abd Elmoniem Abd Elrhim, Shimaa Saifaldeen Siddig, and Hisham N. Altayb
Subjects: Escherichia coli, Whole-genome sequencing, Urinary tract infections, Antimicrobial resistance, Phylogeny tree, Medicine
Abstract: Abstract Background Escherichia coli is a major human pathogen responsible for a broad range of clinical illnesses. It has been linked to endemic and epidemic nosocomial diseases caused by multidrug-resistant pathogens in Sudan as well as throughout the globe. Case presentation A 76-year-old African woman arrived at Saad Rashwan Medical Centre complaining of backaches and discomfort during urination. Throughout the preceding 5 years, the patient had recurrent urinary tract infections. Following overnight incubation at 37 °C, Escherichia coli was found in her midstream urine specimen on cysteine lactose electrolyte deficient agar media. Minimum inhibitory concentration (colorimetric/turbidimetric method) was employed to test a wide range of antimicrobial drugs against this bacterial strain, and the results revealed significant multidrug resistance. QIAamp® DNA Mini Kit was used to obtain DNA Template from the purified Escherichia coli (Qiagen, Hilden, Germany). The bacterial whole-genome sequence was done by Novogene company (Hong Kong) using Illumina HiSeq 2500 (Illumina, San Diego, CA, USA), followed by whole genome reconstructions, and identification of antibiotic-resistant genes. Phylogenetic analysis revealed that our strain was related to the Escherichia coli DSM30083 ( genome sequence ID: CP033092.2) from the USA. Our strain possessed the following antimicrobial-resistant genes: aminoglycoside (kdpE, baeR, cpxA, aadA5), nitroimidazole (msbA), phosphonic acid (mdtG), tetracycline (emrY), macrolide, penam, tetracycline, (evgA, TolC, H-NS), fluoroquinolone, cephalosporin, glycylcycline, penam, tetracycline, rifamycin, phenicol antibiotic, disinfecting agents and antiseptics (acrB; marA), sulfonamide (sul1), macrolide (Mrx), cephalosporin, penam (CTX-M-15), carbapenem, cephalosporin, and penam (OXA-1). Conclusion This study found that the isolated Escherichia coli strain had varied antimicrobial resistance genes on the basis of whole-genome sequencing and phenotypic resistance analyses. Whole-genome sequencing is critical for control and preventative methods to battle the growing threat of antimicrobial resistance. A larger investigation is recommended for improved generalization of results.
Published: 2024
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19. Assessment of the importance of sleep quality and the effects of deprivation on Sudanese healthcare professionals amidst conflict in Sudan

Author: Mohammed Hammad Jaber Amin, Musab Awadalla Mohamed Elhassan Elmahi, Gasm Alseed Abdelmonim Gasm Alseed Fadlalmoula, Jaber Hammad Jaber Amin, Noon Hatim Khalid Alrabee, Mohammed Haydar Awad, Zuhal Yahya Mohamed Omer, Nuha Tayseer Ibrahim Abu Dayyeh, Nada Abdalla Hassan Abdalkareem, Esra Mohammed Osman Meisara Seed Ahmed, Hadia Abdelrahman Hassan Osman, Hiba A. O. Mohamed, Dania Ibrahim Taha Othman, Tagwa Saeed Ibrahim Badawe, Eyha Abdulaziz Mustafa, Ehtida Abdelmonem Hagar, Aya Elshaikh Mohamedtoum Babiker, Ammar Alemam Diab Alnour, Estbrg Alsafi Mohamed Ahmed, Eithar Hussein Elamin Garban, Noura Satti Ali Mohammed, Khabab Abbasher Hussien Mohamed Ahmed, Mirza Adil Beig, Muhammad Ashir Shafique, Shahad Azhari Mohmed Ali, Mazar Gamal Mohamed Elhag, Mojtaba Majdy Elfakey Omer, Asma Eltayeb Abdalla Mohamed, Amna Alrasheed Abuzaid Ali, Hiba Osman Ali Mohamed Elhassan, Khlood Hamdi Ahmed Bin Saleh, Maria Badraldin Ali, Sahar Suliman Elzber Abdalla, Waleed Mohammed Alhaj, Elaf Sabri Khalil Mergani, Hazim Hassan Mohammed Hassan, Hind Mohamed Elfatih Fadl Elmula Ahmed, and Razan Abuelgasim Musa Subahi
Subjects: Sleep, Quality, Deprivation, Healthcare, Professionals, Sudan, Medicine
Abstract: Abstract Background Quality sleep is vital for well-being, especially for healthcare workers facing high risks of fatigue and burnout. Sleep deprivation impairs cognitive and motor functions, contributing to medical errors. Addressing sleep disorders among healthcare professionals is crucial for enhancing patient care. Tailored interventions are needed to support their well-being and improve healthcare outcomes. Objective To evaluate the effect of Sleep Quality and its Deprivation on Sudanese Healthcare Professionals amidst conflict in Sudan. Methods A cross-sectional online survey of Sudanese doctors was conducted using convenience sampling. The questionnaire covered sleep quality, daytime sleepiness, and psychological well-being. Pilot testing ensured questionnaire clarity. Data collection utilized Google Forms distributed through social media and professional networks. A minimum sample size of 384 was calculated. Statistical analysis included descriptive statistics and various tests for significance. Data were securely stored and analyzed using SPSS and R software. Results Among 649 participants, 404 (62.2%) were women, with a mean age of 30.34 years. Most were single (434, 66.9%). General practitioners constituted the largest professional group (267, 41.1%), followed by registrars/residents (142, 21.9%). Participants took an average of 43.70 minutes to fall asleep and slept an average of 5.90 hours per night. According to the PSQI, 300 (46.2%) reported mild sleep disturbance, 287 (44.2%) moderate, 42 (6.5%) severe, and only 20 (3.1%) normal sleep. The ESS revealed 285 (43.9%) with lower normal daytime sleepiness, 188 (29.0%) with higher normal, and various levels of excessive daytime sleepiness. Stress levels varied, with 398 (61.3%) reporting normal stress, while anxiety ranged from 248 (38.2%) normal to 148 (22.8%) extremely severe. Conclusion This study emphasizes the importance of addressing sleep quality, mental health, and performance challenges among Sudanese healthcare professionals. It highlights the need for hospitals to implement measures enabling more time off, adequate sleep, and reduced on-call service days. Healthcare workers must recognize the significance of these factors for their well-being and patient care quality. The research outcomes can raise awareness about the necessity of regulating healthcare practitioners' working hours and ensuring adequate sleep.
Published: 2024
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20. REVEALING THE ULTIMATE TRAVEL DESTINATIONS: AN IN-DEPTH EXPLORATION OF CULTURE, NATURAL BEAUTY, AND SERVICE EXCELLENCE

Author: Bashar Alhaj MOHAMMAD
Subjects: destination, travel, motivation, international tourists, arabia saudi, Geography. Anthropology. Recreation, Geography (General), G1-922
Abstract: Underling the key motivational factors of tourists are very significant in tourism destination marketing. The current study aimed to introduce a new insight in destination management through exploring the main motivational factors behind foreign tourists to visit Saudi. Self administrative questionnaire was distributed among a random sample of tourists visited Saudi. Structural Equation Modeling (SEM-PLS) was applied to analysis the data. The results indicated that five motivational factors influence on behavior intention to visit Saudi. However, the model applied in the study has the potential to be used in similar studies conducted in various destinations worldwide.
Published: 2024
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21. Effects of biochar types on seed germination, growth, chlorophyll contents, grain yield, sodium, and potassium uptake by wheat (Triticum aestivum L.) under salt stress

Author: Sumei Duan, Arwa Abdulkreem AL-Huqail, Ibtisam Mohammed Alsudays, Mobeen Younas, Alishba Aslam, Ahmad Naeem Shahzad, Muhammad Farooq Qayyum, Muhammad Rizwan, Yousef Alhaj Hamoud, Hiba Shaghaleh, and Jean Wan Hong Yong
Subjects: Salinity, Cereals, Pyrolysis, Organic-waste-management, Botany, QK1-989
Abstract: Abstract Soil salinity is a significant challenge in agriculture, particularly in arid and semi-arid regions such as Pakistan, leading to soil degradation and reduced crop yields. The present study assessed the impact of different salinity levels (0, 25, and 50 mmol NaCl) and biochar treatments (control, wheat-straw biochar, rice-husk biochar, and sawdust biochar applied @ 1% w/w) on the germination and growth performance of wheat. Two experiments: a germination study and a pot experiment (grown up to maturity), were performed. The results showed that NaCl-stress negatively impacted the germination parameters, grain, and straw yield, and agronomic and soil parameters. Biochar treatments restored these parameters compared to control (no biochar), but the effects were inconsistent across NaCl levels. Among the different biochars, wheat-straw biochar performed better than rice-husk and sawdust-derived biochar regarding germination and agronomic parameters. Biochar application notably increased soil pHs and electrical conductivity (ECe). Imposing NaCl stress reduced K concentrations in the wheat shoot and grains with concomitant higher Na concentrations in both parts. Parameters like foliar chlorophyll content (a, b, and total), stomatal and sub-stomatal conductance, and transpiration rate were also positively influenced by biochar addition. The study confirmed that biochar, particularly wheat-straw biochar, effectively mitigated the adverse effects of soil salinity, enhancing both soil quality and wheat growth. The study highlighted that biochar application can minimize the negative effects of salinity stress on wheat. Specifically, the types and dosages of biochar have to be optimized for different salinity levels under field conditions.
Published: 2024
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22. 3D printed sub-terahertz photonic crystal for wireless passive biosensing

Author: Yixiong Zhao, Ali Alhaj Abbas, Masoud Sakaki, Gero Bramlage, Guillaume Delaittre, Niels Benson, Thomas Kaiser, and Jan C. Balzer
Subjects: Engineering (General). Civil engineering (General), TA1-2040
Abstract: Abstract Monitoring pathogens has become a major challenge for society and research in recent years. Of great interest are refractive index sensors, which are based on the interaction between analytes and electromagnetic waves and allow label-free and fast detection. In addition, the electromagnetic waves can be exploited for wireless communication. However, current refractive index biosensors can only be read from a few centimeters. Here, we demonstrate an innovative concept of a passive wireless sensor based on a sub-terahertz photonic crystal resonator. The fabricated sensors have a reading range of up to 0.9 m and elevation and azimuth acceptance angles of around 90°. We demonstrate the stand-off detection of sub-µm thin-film proteins as test analytes. The proposed wireless sensor opens the door to a non-electronic, compact, and low-cost solution and can be extended to a wireless sensor network monitoring airborne pathogen, which may provide a pre-infection detection to prevent their spread efficiently.
Published: 2024
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23. Comparison of vascular risk profile and clinical outcomes among patients with central (branch) retinal artery occlusion versus amaurosis fugax

Author: Norma J. Diel, Stefan T. Gerner, Thorsten R. Doeppner, Martin Juenemann, Toska Maxhuni, Tobias Frühwald, Andre Worm, Omar Alhaj Omar, Lyubomyr Lytvynchuk, Tobias Struffert, Pascal Bauer, and Hagen B. Huttner
Subjects: Central retinal artery occlusion, Amaurosis fugax, Ischemic stroke, Transient ischemic attack, Intravenous thrombolysis, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Background Retinal artery occlusions lead to sudden, painless vision loss, affecting millions globally. Despite their significance, treatment strategies remain unestablished, contrasting with acute ischemic stroke (AIS), where IVT has proven efficacy. Similar to AIS, retinal artery occlusions demand urgent evaluation and treatment, reflecting the principle "time is retina". Even for patients with transient monocular vision loss, also known as amaurosis fugax (AF), pertinent guidelines meanwhile recommend immediate emergency assessment in a specialized facility. However, data on the clinical benefit and comparability with persistent occlusions are missing. This study aimed to compare the results of a comprehensive stroke-workup among patients with persistent retinal artery occlusions (RAO), including both central retinal (CRAO) and branch retinal artery occlusion (BRAO) and those with AF. Methods Conducted at the University Hospital Giessen, Germany, this exploratory cross-sectional study enrolled patients with transient or permanent unilateral vision loss of non-arteritic origin. The primary outcome were differences between the two groups RAO and AF with regard to cardiovascular risk profiles and comorbidities, vascular and pharmacological interventions and clinical neurological and ophthalmological outcomes. Secondary outcome was a sub-group analysis of patients receiving IVT. Results Out of 166 patients assessed, 76 with RAO and 40 with AF met the inclusion criteria. Both groups exhibited comparable age, gender distribution, and cardiovascular risk profiles. Notably, RAO patients did not show significantly more severe vascular comorbidities than AF patients. However, AF patients received vascular interventions more frequently. Pharmacological intervention rates were similar across groups. RAO patients had slightly worse neurological outcomes, and IVT did not yield favorable ophthalmological outcomes within any observed patients. Conclusion The study found similar vascular burden and risk factors in patients with RAO and AF, with implications for clinical workflows. IVT for RAO may only be effective in very early treatment windows. This emphasizes the need for public awareness and collaborative protocols between ophthalmologists and neurologists to improve outcomes.
Published: 2024
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24. Incorporation Effect of Lignin and Wheat Straw Biochar on Promoting Maize Growth and Reducing Cd Uptake Under Different Irrigation Regimes

Author: Hamad, Amar Ali Adam, Ni, Lixiao, Alhaj Hamoud, Yousef, and Shaghaleh, Hiba
Published: 2024
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25. The impact of pH value on the transfer and release dynamics of doxorubicin facilitated by carbon nanotubes within the capillary network surrounding cancerous tumors through molecular dynamics simulation

Author: Ibrahim Saeed Gataa, Zainab Younus Abdullah, Abdulrahman A. Almehizia, Amer Alhaj Zen, Soheil Salahshour, and M. Pirmorad
Subjects: Drug doxorubicin, Carbon nanotubes, Molecular dynamics simulation, pH level, Drug delivery, Chemistry, QD1-999
Abstract: Among the pharmacological agents employed in cancer therapy, doxorubicin holds a prominent place due to its widespread use and potent cytotoxic effects and doxorubicin offers considerable promise in combating cancer, its administration requires careful consideration of the delicate balance between therapeutic benefit and potential harm, highlighting the intricate landscape of cancer treatment. Molecular dynamics simulation was used in this research to evaluate the effect of pH on the transfer and release kinetics of doxorubicin via carbon nanotubes within the capillary network surrounding cancer tumors. Upon examination of the acquired data, it became evident that following a duration of 10 ns, the temperature of the scrutinized structure stabilized at 310 K. Additionally, the analysis revealed that over the same period, the potential energy of examined structure reached a convergence point of 5.68 kcal/mol. Moreover, as the pH level increased from 3 to 11, a notable reduction in the maximum velocity of particle motion was detected, diminishing from 0.0028 to 0.0021 Å/fs. This elevation in pH led to a decline in the interaction between the vessel and solute, decreasing from 0.57 to 0.42 kcal/mol. Similarly, the interaction between the vessel and tumor experienced a decline, escalating from 6.95 to 6.05 kcal/mol with the pH increased from 3 to 11. Lastly, the pH elevation resulted in a marked reduction in the rate of drug release, decreasing from 84 to 46 %. This work concluded that MD simulations greatly enhanced the progress of pH-responsive CNT-based drug delivery systems. By offering comprehensive understanding of their behavior in acidic tumor environments, these simulations optimized these systems for targeted cancer treatment.
Published: 2024
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26. Corrigendum to 'The impact of pH value on the transfer and release dynamics of doxorubicin facilitated by carbon nanotubes within the capillary network surrounding cancerous tumors through molecular dynamics simulation' [Res. Chem. 11 (2024) 101769]

Author: Ibrahim Saeed Gataa, Zainab Younus Abdullah, Abdulrahman A. Almehizia, Amer Alhaj Zen, Soheil Salahshour, and M. Pirmorad
Subjects: Chemistry, QD1-999
Published: 2024
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27. 'Green mathematical approaches in fluorescence spectroscopy for quality control and clinical studies'

Author: Amir Alhaj Sakur and May Karman
Subjects: Green, Mathematical, Fluorescence, Antimigraine, Chemistry, QD1-999
Abstract: In the past decade, significant advancements have been made in mathematical spectral approaches for estimating binary and ternary drug combinations in raw materials and dosage forms. These approaches established on mathematical spectral manipulations of mixture analytes, without the need for separation techniques.The idea of using mathematical spectral approaches in fluorescence spectroscopy was resolving analytical issues and reach to biological concentrations thus, Ratio subtraction (RD) and ratio subtraction coupled with constant multiplication (RS-CM) have been proposed in fluorescence spectroscopy to evaluate the content uniformity of Flunarizine dihydrochloride (FLZ) and Propranolol hydrochloride (PRO) combination in raw materials, tablets, and spiked biological fluids (blood-urine). These approaches have demonstrated the ability to overcome the quantitative analytical challenges posed by the high native fluorescence intensity of the major component (PRO) at λex = 286/λem = 341 nm and the low native fluorescence intensity of the minor component (FLZ) at λex = 254/λem = 311 nm. The linearity range for (PRO) was found to be 25–500 ng/mL, and for (FLZ), it was 50–500 ng/mL. However, the spectrum addition technique was required to estimate (FLZ) in mixtures with concentrations less than 300 ng/mL.The overall validity of the proposed approaches was confirmed through adherence to ICH guidelines, and no statistical variation was observed in comparison to official studies. Additionally, the greenness and whiteness of the proposed approaches were evaluated using the Analytical greenness metric (AGREE), Green Solvents Selecting Tool (GSST), and Red-Green-Blue (RGB) algorithm.
Published: 2024
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28. Identifying metabolic dysfunction-associated steatotic liver disease in patients with type 2 diabetes mellitus using clinic-based prediction tools

Author: Juma Alkaabi, Bachar Afandi, Omar Alhaj, Darakhshan Kanwal, and Adnan Agha
Subjects: metabolic dysfunction-associated steatotic liver disease, diabetes mellitus, Hamaguchi criteria, NAFLD fibrosis score, fibrosis-4 index, Medicine (General), R5-920
Abstract: BackgroundMetabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is a global cause of chronic liver disease. The prevalence of MASLD is high in patients with type 2 diabetes mellitus (T2DM). Various non-invasive tools such as the fibrosis-4 index (FIB-4) and NAFLD fibrosis score (NFS), liver ultrasound, and FibroScan can aid in the detection of liver fibrosis in MASLD, while the Hamaguchi ultrasound-based liver grading system has demonstrated high sensitivity and specificity comparable to liver biopsy.ObjectiveWe assessed the frequency of MASLD in patients with T2DM using the liver ultrasound Hamaguchi score and the accuracy of NFS and Fib-4 in identifying MASLD.Patients and methodsWe retrospectively collected data and reviewed the charts of all patients with T2DM who underwent liver ultrasound and laboratory tests during the past 5 years.ResultsA total of 6,214 medical records were screened, and only 153 patients (68.6% women; mean age, 59 ± 12.2 years) fulfilled the selection criteria. MASLD was diagnosed using the Hamaguchi grading criteria in 45.1% of patients. A high/intermediate NFS had a higher sensitivity (79.7%) for diagnosing MASLD with a specificity of 10.7%, while a high/intermediate Fib-4 score showed only 30.4% sensitivity but a higher specificity of 54.8%.ConclusionOur study indicates that MASLD is frequent in patients with T2DM, and clinical prediction tools such as NFS and Fib-4 can be applied in clinic/primary care settings with variable results.
Published: 2024
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29. Mallarmé entre la dépersonnalisation d'identitéet la multiplicité des visages poétiques

Author: Nyrmyn Nazem Alhaj and Maya Adnan Hadeh
Subjects: Dépersonnalisation, Dédoublement, Social sciences (General), H1-99
Abstract: Dans une démarche thématique et une étude analytique, l’article traite la figure du poète Stéphane Mallarmé dans ses écrits par les notions de la dépersonnalisation et du dédoublement. D’une part, cet article interprète le conflit entre le soi et la société banale et bourgeoise. D’autre part, il aborde un choix de figures poétiques qui régénèrent l’identité mallarméenne dans un symbolisme contemporain. Pour cette portée, l’article se réfère enfin à une œuvre mallarméenne: « Poésies ».
Published: 2024

30. دراسة تأثير التحثير الرطب والتحثير بالانصهار على معدل تحرر ديكلوفيناك الصوديوم (دواء نموذج)

Author: yasmin Alhaj, Tamim Hammad, and Wehad Ibrahim
Subjects: Medicine
Abstract: تهدف هذه الدراسة إلى تحضير حثيرات باستخدام تقنيتي التحثير الرطب والتحثير بالانصهار ثم مقارنة تأثير اختلاف تقنية التحثير على معدل تحرر ديكلوفيناك الصوديوم المادة الفعالة النموذج لمعرفة فيما إذا كان بالإمكان استخدام التحثير بالانصهار كتقنية بديلة للتخلص من مشاكل التحثير الرطب. حضرت عدة صيغ من حثيرات ديكلوفيناك الصوديوم باستخدام حمض الشمع كسواغ لتعديل التحرر وذلك بنسب مختلفة (3:1,5:1 ، دواء: حمض شمع) باستخدام التحثير الرطب والتحثير بالانصهار. قيمت الخصائص المختلفة للحثيرات من انسيابية وتحديد محتوى وتوزع أبعاد ورطوبة، ثم تمت دراسة تأثير تقنية التحثير وكمية حمض الشمع على معدل تحرر ديكلوفيناك الصوديوم. أظهرت النتائج أن التحثير بالانصهار قام بتأخير التحرر بفارق هام احصائياّ مقارنة بالتحثير الرطب، أيضا تبين أنه عند زيادة كمية حمض الشمع قلت الكمية المتحررة من ديكلوفيناك الصوديوم في كلا التقنيتين.
Published: 2024

31. Ameliorative effect of poly-γ-glutamic acid biopreparation on coastal saline soil

Author: Pei Liu, Lihua Chen, Yousef Alhaj Hamoud, Jinhai Zheng, Tingting Chang, Jawad Ali, He Huang, and Hiba Shaghaleh
Subjects: Coastal silty saline soil, Poly-γ-glutamic acid, Salt distribution, Bacillus amyloliquefaciens, Soil amelioration, Science (General), Q1-390, Social sciences (General), H1-99
Abstract: To investigate the effect of poly-γ-glutamic acid (γ-PGA) biopreparation on ameliorating coastal saline soil, three treatments were established: soil salt washed treatment (CK), soil salt washed with added γ-PGA (PGA), soil salt washed with added γ-PGA biopreparation (PGAB). This study determined the effects of γ-PGA on coastal saline soil by analyzing soil aggregate, soil evaporation, soil vertical water and salt distribution, and soil cation content, soil pH, soil nutrient content and soil microorganism quantity. Results showed that γ-PGA had an ameliorative effect on saline soil, with the PGAB treatment exhibiting the most pronounced ameliorative effect compared to CK. Adding PGAB reduced soil evaporation by 30.45 %, soil salt content by 27.91 %, meanwhile increasing plant height by 33.86 %, plant fresh weight by 98.54 %, soil aggregate diameter by 6.68 times, soil water content by 26.47 % (P
Published: 2024
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32. Calcium lignosulfonate-induced modification of soil chemical properties improves physiological traits and grain quality of maize (Zea mays) under salinity stress

Author: Yousef Alhaj Hamoud, Hiba Shaghaleh, Ke Zhang, Mohammad K. Okla, Ibrahim A. Alaraidh, Hamada AbdElgawad, and Mohamed S. Sheteiwy
Subjects: calcium lignosulfonate, salinization, soil characteristics, grain quality, Zea mays, Plant culture, SB1-1110
Abstract: IntroductionSalinity negatively affects maize productivity. However, calcium lignosulfonate (CLS) could improve soil properties and maize productivity.MethodsIn this study, we evaluated the effects of CLS application on soil chemical properties, plant physiology and grain quality of maize under salinity stress. Thus, this experiment was conducted using three CLS application rates, CLS0, CLS5, and CLS10, corresponding to 0%, 5%, and 10% of soil mass, for three irrigation water salinity (WS) levels WS0.5, WS2.5, and WS5.5 corresponding to 0.5 and 2.5 and 5.5 dS/m, respectively.Results and discussionResults show that the WS0.5 × CLS10 combination increased potassium (K 0.167 g/kg), and calcium (Ca, 0.39 g/kg) values while reducing the sodium (Na, 0.23 g/kg) content in soil. However, the treatment WS5.5 × CLS0 decreased K (0.120 g/kg), and Ca (0.15 g/kg) values while increasing Na (0.75 g/kg) content in soil. The root activity was larger in WS0.5 × CLS10 than in WS5.5 × CLS0, as the former combination enlarged K and Ca contents in the root while the latter decreased their values. The leaf glutamine synthetase (953.9 µmol/(g.h)) and nitrate reductase (40.39 µg/(g.h)) were higher in WS0.5 × CLS10 than in WS5.5 × CLS0 at 573.4 µmol/(g.h) and 20.76 µg/(g.h), leading to the improvement in cell progression cycle, as revealed by lower malonaldehyde level (6.57 µmol/g). The K and Ca contents in the leaf (881, 278 mg/plant), stem (1314, 731 mg/plant), and grains (1330, 1117 mg/plant) were greater in WS0.5 × CLS10 than in WS5.5 × CLS0 at (146, 21 mg/plant), (201, 159 mg/plant) and (206, 157 mg/plant), respectively. Therefore, the maize was more resistance to salt stress under the CLS10 level, as a 7.34% decline in yield was noticed when salinity surpassed the threshold value (5.96 dS/m). The protein (13.6 %) and starch (89.2 %) contents were greater in WS0.5 × CLS10 than in WS5.5 × CLS0 (6.1 %) and (67.0 %), respectively. This study reveals that CLS addition can alleviate the adverse impacts of salinity on soil quality and maize productivity. Thus, CLS application could be used as an effective soil amendment when irrigating with saline water for sustainable maize production.
Published: 2024
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33. Revitalizing maize growth and yield in water-limited environments through silicon and zinc foliar applications

Author: Sobhi F. Lamlom, Ahmed M. Abdelghany, Honglei Ren, Hayssam M. Ali, Muhammad Usman, Hiba Shaghaleh, Yousef Alhaj Hamoud, and Gawhara A. El-Sorady
Subjects: Drought stress, Growth attributes, Physiological traits, Silicon, Zinc, Zea mays, Science (General), Q1-390, Social sciences (General), H1-99
Abstract: Maize is an economically vital cereal crop. However, water deficiency can severely impact its productivity. Thus, it is necessary to implement an essential approach to increase maize yield while navigating the limitations imposed by scarce water supplies. The present study aimed to investigate whether foliar applications of silicon (Si) and zinc (Zn) could mitigate the adverse effects of water deficiency and improve maize growth and yield. Field experiments were conducted in Egypt during two growing seasons (2021–2022) under three irrigation regimes: full irrigation (ET0), moderate stress (ET1), and severe stress (ET2). The treatments comprised foliar sprays of Si, Zn, Si + Zn, and water control. Phenological, growth, physiological, chemical, and yield-related traits were assessed. Results showed that adequate irrigation (ET0) enhanced most parameters compared to water stress treatments. Under ET0, the combined silicon and zinc treatment resulted in the highest values for plant height, leaf area, chlorophyll content, grains per ear, kernel weight, ear size, and yield compared to other foliar treatments. Under drought stress (ET1, ET2), Si + Zn applications maintained superiority in mitigating yield losses. Proline accumulation was highest under severe stress (ET2) in the absence of foliar sprays, indicating greater drought impacts. Correlation analysis revealed positive associations of grain yield with ear size, leaf area, kernel weight, and biological yield. Cluster analysis separated irrigation regimes and visualized the consistently beneficial effects of Si + Zn across all water levels. Overall, the results demonstrate the synergistic potential of Si and Zn supplementation to sustain maize performance and yields under varying water availability.
Published: 2024
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34. Access to and quality of elective care: a prospective cohort study using hernia surgery as a tracer condition in 83 countries

Author: Dönmez, A Eylül, Goswami, Aakansha Giri, Raheja, Aashna, Bhadani, Aayush, El Kady, Abd Elrahman Safwat, Alniemi, Abdalaziz, Awad, Abdalkarim, Aladl, Abdalla, Younis, Abdalla, Alwali, Abdallah, Khalil, Abdallah, Mansour, Abdallah, Elkhouly, Abdallah Mohamed, Rashad Temerik, Abdallah, Hasan, Abdallatef, Chied, Abdelhafid, Abdraba, Abdelhamid, Hrora, Abdelmalek, Abdelshafi, Abdelrahman, Alwali, Abdelrahman, Maraqa, Abdelrahman, Ghaffar, Abdul, Chekfa, Abdul Jabar, Al Balushi, Abdul Majeed, Quddus, Abdul, Hammadieh, Abdul Rahman, Muntaka, Abdul-Jalilu Mohammed, Asekun, Abdulazeez, Alshahrani, Abdulaziz, Jowharji, Abdulaziz, Alshukre, Abdulbaset, Khair Etareig, Abdulhafid, Abubakar Abdulkarim, Abdulhafiz, Ashiru, Abdulhafiz, Alailesh, Abdulhamid, Al-Mallah, Abdullah, Baydoun, Abdullah, Chaudhry, Abdullah, Askin, Abdullah Emre, Almutairi, Abdulmjeed, Belkhair, Abdulmunem, Abdllah, Abdulrahman, Alhammali, Abdulrahman, Basalim, Abdulrahman, Abouelnagah, Abdulrahman Galal Mohamed Mostafa, Ghazal, Abdulrahman, Mohammed, Abdulrahman, Qasem, Abdulrahman, Anadani, Abdulrazak, Jimoh, Abdulrazaq, Lawal, Abdulrazzaq Oluwagbemiga, Khaity, Abdulrhman, Lawal, Abdulwahab, Elzoubi, Abdurrahim Esseid, Sheshe, Abdurrahman Abba, Cetişli, Abdurrahman Furkan, Oyedele, Abeeb, Aljahdali, Abeer, Aboelnasr, Abeer Gamal Elsyed, Demessie, Abel, Bhargava, Abhilasha, Sonkar, Abhinav Arun, Bavaharan, Abhirame, Khan, Abid, Campbell, Abigail, Oyelekan, Abimbola Adeola Akintunde, Okunlola, Abiodun Idowu, Ojewuyi, Abiodun, Ekerin, Abiola, Saleh, Abobakr, Khairy, Abouelatta, Muthunayagam, Abraham Benjamin, Botha, Abraham, Teshome Sahilemariam, Abraham, Nawawi, Abrar, Muhammad, Abubakar Bala, Dahiru, Abubakar, Yahaya, Abubakar, Abdelmalik, Abubaker, Anuar, Abul Akmal Arif, Ousseini, Adakal, Leon -Del- Angel, Adalberto, Frankel, Adam, Gyedu, Adam, Lim, Adam, Lukáč, Adam, Peckham-Cooper, Adam, Sabbah, Adam, Varga, Adam, Sanou, Adama, Issaka, Adamu, Ningi, Adamu, Yeshitila, Addis, Yingess, Addisu, Olugbami, Adebayo, Moses, Damola-Okesiji, Adebola, Lawal, Adedayo, Ojo, Adedoyin, Hashmi, Adeel, Fakoya, Adegbolahan, Ishola, Adegoke, Abiodun, Adekunle, Ajayi, Adekunle, Mouffokes, Adel, Bonelli, Adele, Adekoya, Adeleke, Akeem Aderogba, Adeleke, Özcan, Adem, Ayoade, Ademidun, Adeyeye, Ademola, Agbaje, Ademola, Talabi, Ademola, Ademuyiwa, Adesoji, Adewumiya, Adesoji, Ademuyiwa, Adesoji O, Aderounmu, Adewale, Adisa, Adewale, Oke, Adewale, Ragab, Adham, Alzadjali, Adil, Baksi, Aditya, Jayapalan, Aditya, Md Yunos, Adnan, Pisanu, Adolfo, Salazar, Adolfo, Salinas Barragan, Adrian Alberto, Fox, Adrian, Stollberg, Adrian, Franco, Adriana, Neves, Adriana, Vricheva, Adriana, Hodonou, Adrien Montcho, Aghayeva, Afag, Liaquat, Affifa, Alsultan, Afnan, Morad, Afnan, Kalidis, Afroditi Angella, Gkouniaroudi, Agathi, Karakosta, Agathi, Lovi, Agbenya, Yevide, Agossou Barthélémy, Duro, Agustin, Rodriguez Gonzalez, Agustin, Tariq, Ahbala, Abaidalla, Ahmad, Abuhammad, Ahmad, Abuhantash, Ahmad, Mansour, Ahmad Adel, Ahmad Zaidi, Ahmad Al Hafeez, Alahmad Alismael, Ahmad, Alayed, Ahmad, Alfarwan, Ahmad, Alhaj, Ahmad, Ali, Ahmad, Alroobi, Ahmad, Alsheikh, Ahmad, Alusef, Ahmad, Alzu'Bi, Ahmad, Kayali, Ahmad Amir, Bouhuwaish, Ahmad, Doghaim, Ahmad, El-Sherbiney, Ahmad, Ghazal, Ahmad, Ramly, Ahmad Nasir, Raza, Ahmad, Qureshi, Ahmad Uzair, Arnaout, Ahmad Yamen, Abdelhamid, Ahmed, Abuthaher, Ahmed, Adel, Ahmed, Ahmayda, Ahmed, Al-Mouahhed, Ahmed, Alagha, Ahmed, Albalawi, Ahmed, Albhaisi, Ahmed, Alrifaee, Ahmed, Azam, Ahmed, Barakat, Ahmed, Al-Hajjaj, Ahmed Basim Abed, Dawoud, Ahmed, El Shamarka, Ahmed, El-Bastwesy, Ahmed, Elghrieb, Ahmed, Elkhalifa, Ahmed, Elmosalamy, Ahmed, Elshazli Mahmoud, Ahmed, Montaser, Ahmed G., Gbeadese, Ahmed, Haty, Ahmed, K. Ali, Ahmed, Awad, Ahmed K., Kedwany, Ahmed, Khalleefah, Ahmed, Abbas, Ahmed M., Allam, Ahmed M., Maher, Ahmed, Elsayed, Ahmed Mohamed, Mohamed Ibrahim Mohamed, Ahmed, Mostafa, Ahmed, Nabil, Ahmed, Nada, Ahmed, Ragheb, Ahmed, Abdelrahman, Ahmed Saber Mohamed, Sabry, Ahmed, Sakr, Ahmed, Elkhodary, Ahmed Salah, Shaheen, Ahmed, Ammar, Ahmed Siddique, Hameed, Ahmer, Akmercan, Ahmet, Aslan, Ahmet, Barcin, Ahmet, Ciftci, Ahmet Burak, Bozkurt, Ahmet Çağlar, Sarı, Ahmet Can, Yaşar, Ahmet Can, Develioğlu, Ahmet, Öztürk, Ahmet Mücteba, Sanli, Ahmet Necati, Rencuzogullari, Ahmet, Yildiz, Ahmet, Kaan, Ahmet Zahit, Toi, Ahouefa Chourika Sakinath, Aljamoudi, Aida, Cheung, Aiden Chak Kei, Gkoutoula, Aikaterini, Kalogeropoulou, Aikaterini, Sarafi, Aikaterini, Abo Al Shamat, Aiman, Sanon, Aimé Serge Titianma, Sanon, Aimée Florence, Hiller, Aimée, Costas-Chavarri, Ainhoa, Lombardero, Ainhoa, Fraile, Ainoa, Bojazyah, Aisha, Kamal, Aisha, Gill, Aisling, Hada, Aïssatou, Gulla, Aiste, Mačiulaitytė, Aistė, Sukumar, Aiswarya, Landaluce-Olavarria, Aitor, Sainz Lete, Aitor, Pal, Ajay Kumar, Malik, Ajaz Ahmad, Horiguchi, Akihiko, Kocaay, Akin Firat, Akinkuolie, Akinbolaji, Olabode, Akingunloye, Fadipe, Akinniyi, Akinmade, Akinola, Darkwa Boateng, Akosua, Appiah-Kubi, Akosua Yeboaa, Alkaseek, Akram, Kadamani Abiyomaa, Akram, Anand, Akshay, Oppong, Akua, Opoku-Agyapong, Akwasi, Asharaf, Al Ameen, Ahmed, Al Samoul, Andani, Al-Hassan Dasana, Alkharusi, Al-Salt, Abd Elsattar, Alaa, Alragheai, Alaa, Alsalahat, Alaa Atta, Hawarah, Alaa, Aldirani, Alaa Nasib, Shabkah, Alaa, Nixon Fulli, Alafi Francis, Nguyen, Alain, Mustafa, Alamin, Joseph, Alan, Huws, Alaw, Aregawi, Alazar Berhe, Sanchez Gallego, Alba, Torroella, Alba, Vazquez Melero, Alba, Dauksa, Albertas, Abreu Da Silva, Alberto, Brun-Peressut, Alberto, Barranquero, Alberto G, Gegúndez Simón, Alberto, Gerundo, Alberto, Navarrete-Peón, Alberto, Viacava, Alberto, Vilar, Alberto, Adam, Albushra Altayeb, Jarimba, Aldo, Johnson, Aleena, Nuñez Venzor, Alejandra, Gonzalez Ojeda, Alejandro, Romero De Diego, Alejandro, Karamarkovic, Aleksandar, Butyrskii, Aleksandr, Edmundson, Aleksandra, Sidorova, Aleksandra, Thomas, Alen, Tomazic, Ales, Giuliani, Alessandra, Iodice, Alessandra, Marano, Alessandra, Marello, Alessandra, Ongaro, Alessandra, Saba, Alessandra, Anastasi, Alessandro, Borello, Alessandro, Broglia, Alessandro, Carta, Alessandro, Finocchio, Alessandro, Francia, Alessandro, Iacomino, Alessandro, Izzo, Alessandro, Ottaiano, Alessandro, Spaziani, Alessandro, Strumia, Alessandro, Biancafarina, Alessia, D'Ignazio, Alessia, Davolio, Alessia, Morello, Alessia, Licciardello, Alessio, Mazzoni, Alessio, Wilkins, Alex, Arekhandia, Alexander, Barlas, Alexandros, Chamzin, Alexandros, Demetriou, Alexandros, Giakoustidis, Alexandros, Kozadinos, Alexandros, Kyriakidis, Alexandros, Sarakatsanos, Alexandros, Rojas, Alexei, Saridaki, Alexia, Litchinko, Alexis, Arnaud, Alexis P, Binder, Alf-Dorian, Yakubu, Alfa, Kavalakat, Alfie, Shamsutdinova, Alfiya, Alberico, Alfonso, Amendola, Alfonso, Sánchez-Terán, Alfonso Iván, Lapergola, Alfonso, Baiden Amissah, Alfred, Königsrainer, Alfred, Twumasi, Alfred, Alhebshi, Alhasan, Abbas, Ali, Abdul Rahman, Ali, Abidali, Ali, Abu Tair, Ali, Ahmad, Ali, Al Mukhtar, Ali, Sharq, Ali Al, Alloush, Ali, Amaigl, Ali, Kheirkhah Vakilabad, Ali Asghar, Bassma, Ali, Hacioglu, Ali Doruk, Elzanaty, Ali, Fani, Ali, Farsi, Ali, Ghummied, Ali, Hajali, Ali, Al Sharqi, Ali Hamed, Hammed, Ali, Hewari, Ali, Isler, Ali, Marouf, Ali, Uysal, Ali Mert, Murtada, Ali, Syed, Ali Naqi, Ozkomec, Ali, Sapmaz, Ali, Wassouf, Ali, Aldurssi, Alia, Polatbekov, Alibek, Caltagirone, Alice, Gori, Alice, Lim, Alicia, Bhatt, Alisha, Mohammed, Aljarrah, Maxwell, Allison, Kiyabayev, Almaz, Eltayeb, Almoutaz, Khamees, Almu'atasim, Abdalla, Alnazir, Pikarsky, Alon, Trigos Díaz, Alonso, A Elhars, Alshymaa, Alhaj Zain, Altayeb, Eltahir, Altayeb, Robin Valle De Lersundi, Alvaro, Sanad, Aly, Abdalhadi, Alya, Sparke, Alyssa, Maqsood-Shah, Amaal, Ali, Amal, Ouachhou, Amal, Ahmad, Aman, Kezze, Amana, Dawson, Amanda Caroline, Ali, Amani, Mohsen, Amani, Brar, Amanpreet, Dembele, Amara, Tansawet, Amarit, Obbeng, Ambe, Chiappini, Ambra, Davis, Amelia, Awidan, Amera, Tibude, Ameya, Shah, Ami, Hilder, Amie, Huremovic, Amila, Alamin, Amin, Egdeer, Amin, Gharib, Amin, Choudhary, Amin Mazhar, Amin, Amina, Ibrahim Hassan, Amina, Rashid, Amina, Patel, Aminah, Sebai, Amine, Asla, Amir, Ghanbari, Amir, Shweiki, Amir, Tursunovic, Amir, Aboshosha, Amira Abdelbadea Abdelhamed, Elbalal, Amira, Abdelhalim, Amira Ramadan, Gupta, Amit, Sinha, Amit, Al-Fandi, Amjad, Awwad, Amjad, Belaid, Amjad, Khatib, Amjad, Al-Zubeidy, Ammar, Niazi, Ammar, Zamareh, Ammar, Salam, Ammara, Ayodele, Amoda, Al Hammoud, Amr, Khouli, Amro, Crowe, Amy, Surkitt, Amy Louise, Alshiteewi, Amyirah, Alvarez Cuiñas, Ana, Cabral, Ana, Dupont, Ana, Faustino, Ana, Carreira-Marques, Ana Lúcia, Preto Barreira, Ana Lúcia, Minaya Bravo, Ana Maria, Pinheiro Pereira, Ana Marta, Minaya-Bravo, Ana, Lourenço, Ana Rita, Mateus Loureiro, Ana Rita, Sánchez Gollarte, Ana, Tvaladze, Ana, Veira, Ana, Perja, Ana-Maria, Dusabimana, Anaclet, Herewini, Anahera, Fatima, Anam, Zafar, Anam, Bangar, Anant, Kutma, Ananta, Mehta, Ananya, Alqerem, Anas, Jaber, Anas, Mourtzouni, Anastasia, Theochari, Anastasia, Zarafidou, Anastasia, Smyrnis, Anastasios, Tsechpenakis, Anastasios, Zakaria, Andee Dzulkarnaen, Cardoso Almeida, Andre, Pita, André, Torbey, André, Abreu, Andrea, Barberis, Andrea, Bartalini Cinughi De Pazzi, Andrea, Belli, Andrea, Sironi, Andrea Carlo, Damigella, Andrea, Manetti, Andrea, Mingoli, Andrea, Natili, Andrea, Police, Andrea, Razzore, Andrea, Scacchi, Andrea, Vazquez Fernandez, Andrea, Luzzi, Andrea-Pierre, Brosin, Andreas, Efstathiou, Andreas, Kirschniak, Andreas, Panagakis, Andreas, Pilavas, Andreas, Scheiwiller, Andreas, Skarpas, Andreas, Chitul, Andrei, Trif, Andrei, Ferreira, Andreia, Silva, Andreia, Subocius, Andrejus, Cembellin, Andres, García 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Mohammed Daoud, Fatima Ahmed, Alowjaly, Fatima, Oni, Fatima, Rauf, Fatima, Elkhafeefi, Fatimah, Hourri, Fatine, Monib, Fatma A., Alshreef, Fatma, Benghalbon, Fatma, Ntirenganya, Faustin, Ashraf, Fauziyah, Chahrour, Fayez, Ahmad, Fazal, Parray, Fazlul Qadir, Philips, Febi, Campus, Federica, Di Marco, Federica, Ferraina, Federica, Frongia, Federica, Maffeis, Federica, Natali, Federica, Pederiva, Federica, Scolari, Federica, Tofani, Federica, Marin, Federico Alberto Niccolò, Biolchini, Federico, Cappellacci, Federico, Corronca, Federico, Mazzola, Federico, Suldrup, Federico, Nyarko, Felicia, Casas J, Felipe, Zapata, Felipe, Aigner, Felix, Alakaloko, Felix, Amoako, Felix, Camacho, Felix, Hammett, Felix, Kuubetersob B. N, Felix, Alahmad, Feras, Alnimri, Feras, Haddad, Feras, Gool, Ferhana, Castro, Fernanda, Diaz, Fernanda, Lucero, Fernanda, Vovola, Fernanda, Mahnic, Fernando, Mercado Sanchez, Fernando, Prieto La Noire, Fernando, Soggiu, Fiammetta, Tsige, Fikreab, Brzeszczyński, Filip, Rudisch, Filip, Valente Costa Pinto, Filipa, Ramalho De Almeida, Filipe, Banchini, Filippo, Palomino Escalante, Fiorella, Fadzlullah, Fitri, Terefe, Fitsum, Sulo, Fjorenta, Ciccarone, Flavia, Tirelli, Flavio, Krämer, Florian, Grama, Florin, Spanos, Foivos, Solimene, Folco, Akinwande, Foluso, Osman, Forzia, Stefou, Foteini, Kyramargios, Fotios, Stavratis, Fotios, Alassani, Fousseni, Ascari, Francesca, Cammelli, Francesca, D'Agostino, Francesca, Tropeano, Francesca Paola, Peters, Francesca, Ré, Francesca, Brucchi, Francesco, Casti, Francesco, Coratti, Francesco, Ferrara, Francesco, Floris, Francesco, Izzo, Francesco, Maffei, Francesco, Palmieri, Francesco, Pata, Francesco, Porcelli, Francesco, Selvaggi, Francesco, Velluti, Francesco, Mulita, Francesk, Bello, Francis, Caiquo, Francis, Dossou, Francis, Eshun, Francis Junior, Opoku Twene, Francis, Tierenye, Francis, Quayson, Francis William, Romo Rosales, Francisco David, Ibañez Ortiz, Francisco, León Frutos, Francisco Javier, Redondo Calvo, Francisco Javier, Silva Rivera, Francisco Javier, Barbosa Camacho, Francisco José, Bujalance Cabrera, Francisco Manuel, Ruescas, Francisco, Irakiza, Franck Fanon, Corvatta, Franco, Pascual, Franco Raúl, Roviello, Franco, Roodt, Francois, Gyamfi, Frank Enoch, Olaniru, Frank, Owusu, Frank, Bader, Franz G., Anzinger, Franz-Xaver, Agbodo, Fred David Anku, Ris, Frederic, Agbemafoh, Frederick Mawuli, Afonso, Frederico, Nazareth, Frederico, Berrevoet, Frederik, Hounde, Fréjus, Demiral, Furkan, Hassooni, Furqan Ridha Hassooni, Kafa, Gabi, Cárdenas Rivera, Gabriel, Ntwari, Gabriel, Szydlo Shein, Gabriel, Ambriz González, Gabriela, Nita, Gabriela Elisa, Bellio, Gabriele, Moitzi, Gabriele, Urdang, Gabriella, Marom, Gad, Gallo, Gaetano, Luglio, Gaetano, Poillucci, Gaetano, Singh, Gagandeep, Saletta, Gaia, Abouelnagah, Galal, Yarovenko, Galina, Kazobinka, Gallina, Ahmed, Gamal Mutwakil Gamal, Rahman, Ganiyu Adebisi, Smith, Garett, Pillai, Gargi, Saxena, Garima, Gbessi, Gaspard, Nkunguzi, Gaston, Jalal, Gaurav, Chillarge, Gauri, Singh, Gautam, Mevognon, Gedeon, Getachew, Gedion, George, Gejoe, De La Peña González, Gema, Martínez Izquierdo, Gema, Grande, Gennaro, Birikorang, Geoffrey, Weber, Georg F., Singer, Georg, Ansong, George, Bashour, George, Brown, George Darko, Hneino, George, Kavalieratos, George, Kenchadze, George, Nagy, George, Pappas Gogos, George, Skroubis, George, Waiyaki, George, Cox, Georgia, Zeringa, Georgia, De Wee, Georgin, Hart, Georgina, Bekakos, Georgios, Fragulidis, Georgios, Kapogiannatos, Georgios, Karakaidos, Georgios, Kokkinos, Georgios, Kostoulas, Georgios, Koukoulis, Georgios, Peros, Georgios, Rados, Georgios, Tsoulfas, Georgios, Verras, Georgios-Ioannis, Berger, Geraint, Adoro, Gerard Ayuka, Chamoso Mialdea, Gerardo, Palmieri, Gerardo, Procaccini, Gerardo, Steenkamp, Gerhard, Viscido, Germán Rodrigo, Dajti, Gerti, Alemayehu, Getachew, Seyfu, Gezachew, Birqeeq, Ghada, Alsheikh, Ghadeer, Alrayyes, Ghaith, El Hunjul, Ghalib Nashaat, Zaza, Ghayath, Matroud, Ghazlah, Alhadwah, Ghena, Maltinti, Gherardo, Awais, Ghina, Shamsi, Ghina, Calini, Giacomo, Carganico, Giacomo, Zanus, Giacomo, Canu, Gian Luigi, Mendiola, Gian, Ibero Casadiego, Giana Pamela, Cocorullo, Gianfranco, Baronio, Gianluca, Pellino, Gianluca, Zanni, Gianluca, Poto, Gianmario Edoardo, Gravante, Gianpiero, Aduroja, Gideon, Almogy, Gidon, Bond-Smith, Giles, Natchagande, Gilles, Bechara, Gio, Brachini, Gioia, Riccioli, Giordana, Ercolani, Giorgio, Farris, Giorgio, Giraudo, Giorgio, Mammolo, Giovanna, Pavone, Giovanna, Sgarzini, Giovanna, Aprea, Giovanni, Fonsi, Giovanni Battista, Boroni, Giovanni, De Angeli, Giovanni, De Palma, Giovanni Domenico, Emiliani, Giovanni, Grava, Giovanni, Guercio, Giovanni, De Carlo, Giulia, Del Corpo, Giulia, Duranti, Giulia, Galatioto, Giulia, Grassi, Giulia, Graziano, Giulia, Marini, Giulia Maria Francesca, Munzi, Giulia, Tarantino, Giulia, Borda-Luque, Giuliano, Pellicano', Giuseppe Antonino, Canonico, Giuseppe, Carollo, Giuseppe, Ietto, Giuseppe, Palomba, Giuseppe, Pascarella, Giuseppe, Salamone, Giuseppe, Sica, Giuseppe, Sorrentino, Giuseppe, Orlando, Giuseppina, Pignata, Giusto, Pisarevi, Givi, Akcakoca, Gizem, Owusu, Godfred, Yohanna Abrak, Godwin, Kurtoglu, Gokalp Kagan, Kurtoglugk, Gokalp Kagan, Alıcı, Gökhan, Kurtoglu, Goktug Mert, Delgado Hernandez, Gonzalo, Augustin, Goran, Bhat, Gowhar Aziz, Sundaram Venkatesan, Gowtham, Chang, Grace, Eke, Grace, Lee, Grace, Massarra, Grace, Travaglini, Grazia, Scialandrone, Grazisa, Stavrou, Gregor A., Di Franco, Gregorio, Charalambous, Gregory, Christodoulidis, Gregory, Kouraklis, Gregory, Goodwin, Gregory Richard, Devidze, Grigol, Fialho, Guilherme, Santos, Guilherme, Cabezudo, Guillermo, García-Santos, Guillermo, Pou, Guillermo, Romero Reyna, Guillermo, Yanowsky-Reyes, Guillermo, Ozyuksel, Gul, Karadeniz Cakmak, Guldeniz, Kucuk, Gultekin Ozan, Bulbuloglu, Guney Cem, Sarp, Guray, Kaur, Gurleen, Nibogora, Guy Darcy, Hamdan, Gymar, Ogundipe, Habeeb, Yunes, Habib, Ayesh, Hadeel, Al Atassi, Hadi, Jalilehvand, Hadis, Masalma, Hafez, Jafarkhan, Hafis, Shahid, Hafiz Huzaifa, Younus, Hafsa, Al-Derume, Hail, Shames, Haitam, Mimouni, Haithem Ahmed, Aldare, Hajar, Odah Bashi, Hajar Omar, Abusnina, Hajer, Altounsi, Hajir, Qayum, Hajra, Baysal, Hakan, Bolukbasi, Hakan, Yigitbas, Hakan, Alkhatib, Hala, Afzal, Haleema, Mftah, Halima, Oyinlola, Halimah, Tümer, Haluk, Dolo, Hamadoun, Braham, Hamdi, Ozsahin, Hamdi, Abu-Arish, Hamdoon, Al-Aamri, Hamed, Fadlalmola, Hammad Ali, Abu Obead, Hamza, Al-Fahel, Hamza, Al-Zoubi, Hamza, Asaad, Hamza, Ejaz, Hamza, Jaber, Hamza, Bhatti, Hamza Waqar, Mohammadi Sardoo, Hamzeh, Farhat, Hana, Idheiraj, Hanadi, Zwaraa, Hanady, Al Sohabi, Hanan, Basharat, Hanan, Said, Hanan, Al-Abdallat, Haneen, Foad, Haneen, Daaboul, Hanen, Al Qadhi, Hani, Elhallaq, Hani, Alhusaini, Hanin, Lidbetter, Hannah, Reilly, Hannah, Moya- Ambriz, Hannia Betzabeth, Lederhuber, Hans, Fehrer, Hans-Jörg, Xiao, Haotian, Iswariah, Harish, Kaur, Harmeena, Cheema, Harnoor Kaur, Foda, Haroun, Chauhan, Harpreet, Kaur, Harpreet, Sagar, Harry, Unwin, Harry, Kaur, Harsharan, Panga, Harshavardhan, Gupta, Harshit, Prabhakar, Harshit Kumar, Anand, Harshitha, Pahwa, Harvinder Singh, Abbadi, Hasan, Amoudi, Hasan, Zaini, Hasan Hadi Zaini, Škiljo, Hasan, Miyasika, Hasangi, Altabbaa, Hashem, Haj Freej, Hasn, Abdelazim, Hassan, Habiba, Hassan, Kamal, Hassan, Sabir, Hassan, Zaigham, Hassan, Pehlivan, Hatice, Telci, Hatice, Abuobaida, Hayat, Tetley, Heather, Taher, Heba, Aguado López, Héctor, Askarpour, Hedyeh, Sherif Farouk Ahmed Hassan, Heidi, Devesa, Helena, Arbogast, Helmut, Nuñez Del Barrio, Henar, Abiyere, Henry, Delacave, Henry, Rice, Henry E., Pleass, Henry, Bradly, Hera, 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Ioannis, Kozadinos, Ioannis, Margaris, Ioannis, Maroulis, Ioannis, Papaconstantinou, Ioannis, Siannis, Ioannis, Sougkas, Ioannis, Spyridakis, Ioannis, Tierris, Ioannis, Tsakiridis, Ioannis, Imihteev, Ion, Negoi, Ionut, Chatzis, Iosif, Shahbaz, Iqra, Didier, Irabishohoje, Pipia, Irakli, Parwaiz, Iram, Durán Sánchez, Iran Irani, Norman, Irena, Bakaweri, Irenaeus Nutumie, Santos, Irene, Mylona, Irene Chrysovalanto, De Haro Jorge, Irene, Cervera, Iria, Dajti, Irida, Datji, Irida, Matache, Irina Mihaela, Russo, Iris Shari, Aremu, Is'haq Ishola, Amankwaa, Isaac, Caitens, Isaac, Esparza Estrada, Isaac, Mubezi, Isaac, Gascon Ferrer, Isabel, Serrano, Isabel, Dong, Isabella, Mondi, Isabella, Serfontein, Isabella, Rakshit, Ishani, Kyei, Ishmael, Murshed, Ishraq, Cabrera, Ishtar, Abo Elhagag, Islam, Alsoubie, Ismael, Lawani, Ismail, Bilgin, Ismail Ahmet, Cholah, Ismail, Hamzaoglu, Ismail, Lawani, Ismaïl, Maharem, Israa, Shehadeh, Israa, Hagbevor, Israel, Bahikoro, Issa Wendpouiré, Laopeamthong, Issaree, Mikulic, Iva, Bacic, Ivan, Rakvin, Ivan, Separovic, Ivan, Vidić, Ivan, Conversano, Ivana, Mrazkova, Ivana, Yotsov, Ivelin, Ilieva, Ivelina, Ćoza, Ivo, Ali, Iyad, Aljada, Iyad, Hussein, Iyad, Tesfahun, Iyasu, Sadiq, Izzah, Martinez Martin Del Campo, J Francisco, Mackenzie, Jack, Maida, Jack Vittorio, Kaippally, Jacob, Montero García, Jacobo, Andreuccetti, Jacopo, Martellucci, Jacopo, Secchi, Jacopo, Van Niekerk, Jacques, Saunders, Jada, Duffield, Jaime A., Tavares-Ortega, Jaime Alberto, Orozco-Perez, Jaime, Mihanovic, Jakov, Woleský, Jakub, Bryan, James, Bundred, James, Cui, James, Glasbey, James, Casella Mariolo, James Rossario, Suliman, Jamil, Mohammad Mohammad, Jamiu, Bolanowski, Jan, Goedeke, Jan, Grosek, Jan, Moravik, Jan, Ringers, Jan, Roman, Jan, Chew, Janae, Maritz, Jancke, Martin, Janet, Velkoski, Jaqueline, Wong, Jason, García-Quijada, Javier, Tk, Jayakumar, Siby, Jayas, Mcnab-Hand, Jaymee, Gusa, JB, Gusa, Jean Bosco, Allen, Jean Claude, Mbonicura, Jean Claude, Rugambwa, Jean Paul, Jordaan, Jean- Jacques, Razafindrahita, Jeannie Ba, Do, Jee Eun, Senavirathna, Jeewantha, Kalyanapu, Jeffrey A, Chan, Jeffrey, Ofori, Jeffrey, Otote, Jeffrey, Akiely, Jehad, Cassiano Neves, Jelena, Gillingham, Jemima, Herrera Batres, Jenifer Olga María, Ezeh, Jennifer, Okei, Jennifer, Vu, Jennifer, Guevara, Jenny, Siu, Jenny, Rolinger, Jens, Skaff, Jeolle, Uys, Jernelle, Makama, Jerry Godfrey, Barklimore, Jessica, Dei-Asamoa, Jessica, Jahjah, Jessica, Jones, Jessica, Ng, Jessica, Ricardo, Jéssica, Schembri Higgans, Jessica, You, Jessica, Annan, Jessie, Aguilar, Jesus Antonio, Pizarro Lozano, Jesús, Lim, Jia Hui, Zhu, Jiang, Wang, Jianxue, Abbasy, Jibran, Ugwu, Jideofor, Rathod, Jignesh, Albalushi, Jihan, Najajra, Jinan, Fu, Jing Hui, Tefay, Joan Sia Tan, Domingues, Joana Cristina, Simoes, Joana FF, Figueiredo, Joana, Fontaínhas, Joana, Frazão, Joana, Marques Antunes, Joana, Simoes, Joana, Marx, Joanna Naemi, Dias-Ferreira, João, Fernandes, João, Mendes, João, Pinho, João, Ribeiro, João, Vaz, João, Dominguez, Joaquina, Abutu John, Job, Chen, Joe Jun Qiao, Enaholo, Joel, Alaji, Joelle, Miller, Johanna, Binder, Johannes, Daleku, John, Katogiritis, John, Khoury, John, Anyorigiya, John Noah, Reilly, John, Abebrese, John Tabiri, Ahale, Johnny Lordson, Tabora-Zepeda, Johnny, Barrutia Leonardo, Jon, Demma, Jonathan Abraham, Hong, Jonathan, Chejfec-Ciociano, Jonathan Matias, Oppong, Jonathan, Quansah, Jonathan, Sutcliffe, Jonathan, Taiwo, Jones, Nyamekye - Baidoo, Joojo, Prat-Ortells, Jordi, Dongmo, Jordy, Kleeff, Jorg, Jimenez Flores, Jorge Alberto, Pellecer Cano, Jorge Bernardo, Chóliz, Jorge, Giubi Bobeda, Jorge Eduardo, Escartin, Jorge, Febré, Jorge, Gass, Jörn-Markus, Calvache, Jose A, Guzman Barba, Jose Aldo, Gutiérrez Gómez, José Alonso, Calvache, Jose Andres, Acevedo Parrales, José Danilo, Orozco Navarro, José Esteban, Viñas, José Federico, Gomez, José, Goncalves-Nobre, Jose Guilherme, Valenzuela, José Ignacio, Garcia Galocha, Jose Luis, Rodicio Miravalles, Jose Luis, Faylona, Jose Macario, Alvarez Hernandez, Jose Manuel, De Francisco Rios, Jose Mario, Martin Fernandez, Jose, Michel, José, Carlos, José Miguel, Mondino, Jose, Vieira De Sousa, José Pedro, Asturias Luna, José Rodrigo, Hernández, Jose Rodrigo, García, José Sebastian, Galea, Joseph, Hwang, Joseph, Leong, Joseph, Yorke, Joseph, Psaila, Josephine, Walshaw, Josephine, Ampadu, Joshua, Linker, Joshua, Ng-Kamstra, Joshua, Olorunfunmi, Joshua, Mavrek, Josip, Miskovic, Josip, Petric, Josipa, Avakoudjo, Josue, Al Karmi, Joud, Fahed, Joud, Suleiman Hadidi, Joudd, Alkharish, Joul, Juloski, Jovan, Vaitekūnas, Jovydas, Wang, Joyce, Flores Prado, Juan Armando, Beltrán De Heredia, Juan, Garcia Vera, Juan Carlos, Molina Marin, Juan David, Gonzalez Aboytes, Juan Eduardo, Ulloa Robles, Juan Jose, Blas Laina, Juan Luis, Carranza Rosales, Juan Manuel, Morales, Juan, Naranjo Fernández, Juan Ramón, Al Daradkah, Jude, Aseme, Jude, Ede, Jude, Kahn, Judith, Lindert, Judith, Deeb, Judy, Mühlhäusser, Julia, Sidorovskaia, Julia, Carrizo, Julian, Napoli, Juliana, Pereira-Macedo, Juliana, Ribeiro, Juliana, De Deken, Julie, Nnoli, Juliet, Paredes, Julieta, Zevallos-Quiroz, Julio Cesar, Gonzalez Garcia, Julio, Adjei, Julius, Olaogun, Julius, Kutkevičius, Juozas, Metzger, Jürg, Košir, Jurij Aleš, Kosir, Jurij, Seyi-Olajide, Justina, Zajac, Justyna Karolina, Dhima, Jyoti, Dhiman, Jyoti, Shreyas, K, Türker, Kadir Yağız, Lee, Kai, Khutsishvili, Kakhi, Yu, Kam Keung Auston, Das, Kamala, Özdoğan, Kamil, Reddy, Kamireddy Madana Raghava, Kabulov, Kamran, Nahar, Kamrun, Rajaratnam, Kanapathippillai, Wijesinghe, Kanchana, Sevnaran, Kapil, Khalil, Karam, Singh, Karanbir, Fayed, Kareem, Booyse, Karien, Geiger-Timm, Karin, Maharaj, Karl, Bhutia, Karma, Richter, Karolina, Komorowska, Katarzyna, Urbańska, Katarzyna, Waddell, Kate, Kambouri, Katerina, Tata, Katerina, Richetti, Katharina, Griffin, Katherine, McKenzie, Katherine, Tambudze, Katherine, Hall, Katheryn, Chu, Kathryn, Theodoropoulou, Katina, Kröning, Katrin, Bozada-Gutiérrez, Katya, Raghuwanshi, Kaustubh, J B, Kavitha, Ahmed Ibrahim, Kefah, Bwala, Kefas John, Iles, Kelly, Jasso García, Kelvin, Oğur, Kemal, Fretwell, Kenneth, Oluchukwu, Kenneth, Onyekachi, Kenneth, Voon, Kenneth, Oderoha, Kevin Ewomazino, Nieto Yrigoin, Kevin, Quispe De La Roca, Kewin, Anaam, Khadega, Bensmain, Khadija, Shwail, Khadija, Akter, Khadiza, Sawaftah, Khaled Ahmad, Shamiyah, Khalid Adnan, Bhatti, Khalid, Mohammed, Khalid Miftah Ghuraybeel, Ayyoub, Khalil, Cholah, Khalil, Rahman, Khandakar Rezwanur, Abdulrahman, Khawla, Al-Shami, Khayry, Hayat, Khizar, Al Hinai, Khulood, Taghavi, Kiarash, Shodunke, Kikelomo, Abo Zaal, Kinaz, Ewool, Kingsley, Gaikwad, Kiran, Shemyatovsky, Kirill, Dey, Kirsty Elaine, Mishra, Kirti Kumar, Rathod, Kirtikumar J, Senanayake, Kithsiri Janakantha, Noguchi, Kiyonari, Kordeni, Kleoniki C., Dembele, Klétigui Samuel, Spassov, Kolyo, Khalid, Komal, Petrenko, Konstantin, Bekiaridou, Konstantina, Rekouna, Konstantina, Athanassiou, Konstantinos, Avgerinos, Konstantinos, Bouchagier, Konstantinos, Bouliaris, Konstantinos, Bramis, Konstantinos, Iliakopoulos, Konstantinos, Kontzoglou, Konstantinos, Ntatsis, Konstantinos, Pavlopoulos, Konstantinos, Perivoliotis, Konstantinos, Polychronopoulos, Konstantinos, Giannakopoulos, Konstantinos S., Zakkas, Konstantinos, Zapsalis, Konstantinos, Koumarelas, Konstantinos-Eleftherios, Mori, Krinal, Ooi, Krisada, Ascencio Diaz, Kriscia Vanessa, Jasaitis, Kristijonas, Nieuwenhuys, Kristin, Atherton, Kristy, Smith, Kristy, Sharma, Kruti, Jaffry, Kumail, Lehmann, Kuno, Ayad, Kusay, Luthra, Kush Kumar, Nanayakkara, Kushan, Agbedinu, Kwabena, Oduro-Boateng, Kwaku Boakye, Boakye-Acheampong, Kwame, Sim, Kwang Kiat, Yalley, Kwekuma, Collins, Kyeremeh, Muscat, Kyle, Hofmann, Kyra, Lambri, Kyriaki, Bananis, Kyriakos, Nassim, Kyrillos, Allan, Lachlan, Codina Corrons, Laia, Hijazein, Laith, Moolla, Laith, Sweidan, Laith, Rai, Lajpat, Devi, Lakshmi, Fountoulis, Lampros, Andreski, Lara, Bonello, Lara, Rodrigues Madeira, Lara, Tafesh, Lara, Yasin, Lara, Martinez, Laura, Fortuna, Laura, Peña Balboa, Laura Gabriela, García-Zambrano, Laura, Bolaños, Laura Isabela, Jiménez, Laura, Lely, Laura, Ortega Lechuga, Laura, Rossi, Laura, Rubin, Laura, Ruiz-Villa, Laura, Sequi, Laura, Sahan, Laura-Ann, Johnstone, Lauren, Monteiro, Lauren, Abdullahi, Lawal Barau, Jovcheski, Lazo, Siragusa, Leandro, Kang, Leannedra, Elgebaly, Leenah, Mansour, Lefteris, Robine-Durnell, Lélia, Bray, Lemuel Davies, Mohammed, Lena, Licari, Leo, Onyebulu, Leonard, Chieng, Leonard Ron, Solaini, Leonardo, Chardalias, Leonidas, Fountarlis, Leonidas Ilias, Van Den Hil, Leontine, Tapia Moral, Leopoldo, Petashvili, Leri, Heeren, Letícia, Laface, Letizia, Niyidukunda, Lewis, Barnard, Liam, Torres Bavestrello, Lidice Veronica, Hasan, Lilav, Dyab, Lima, Venclauskas, Linas, Beukes, Linda, Gabellini, Linda, Liepa, Linda, Zeng, Lingjuan, Dubs, Linus, Rampersad, Lisa, Catozzi, Livio, Castro, Lizeth, Milic, Ljiljana, Shawesh, Lobna, Anyanwu, Lofty-John, Khalifa, Lojina, Cheng, Lok Pong, Manoj Joshua, Lokavarapu, Shammas, Lora, Fuentes Rivera Lau, Lorena, Rodríguez Gómez, Lorena, Capello, Lorenzo, Epis, Lorenzo, Fatucchi, Lorenzo Maria, Rende, Lorenzo, Ripamonti, Lorenzo, Ackam, Louis, Moniz, Lourenço, Bains, Lovenish, Alriyami, Lubna, Alokshi, Lubnah, Martinek, Lubomir, Tulinsky, Lubomir, Samison, Luc, Lo Piccolo, Luca Benedetto, Cardinali, Luca, Nespoli, Luca Carlo, Casingena, Luca, Degrate, Luca, Bonomo, Luca Domenico, Morelli, Luca, Ottaviani, Luca, Resca, Luca, Scaravilli, Luca, Schiavone, Luca, Theuil, Luca, Casalduero, Lucas, Lee, Lucas D., Granero, Lucas, Caram, Lucas Jose, Barni, Lucia, Cidade Costa, Luciana, Paredes, Luciana, Poggi, Luciano, Marquez, Lucila, Garciandia, Lucio, Taglietti, Lucio, Pramod, Ludiya, Stella, Ludovica, Carbone, Ludovico, Bracciano, Luigi, Cobellis, Luigi, Conti, Luigi, Fedele, Luigi, Ragazzini, Luigi, Simonelli, Luigi, Verre, Luigi, Flores Chávez, Luis Adrián, Rea Bocanegra, Luis Alberto, Pelayo Orozco, Luis Ángel, Asensio Gomez, Luis, Bravo, Luis, Flores Chávez, Luis Manuel, Poggi, Luis, Cabezudo, Luis Ramón, Sante Serna, Luis, Tallon-Aguilar, Luis, Talé-Rosales, Luis-Fernando, Chantada, Luisa, Moreira, Luísa, Hasan, Lujain, M Mheidat, Lujain, Eisner, Lukas, Gantner, Lukas, Havranek, Lukas, Majerčák, Lukáš, Pánči, Lukáš, Nawacki, Łukasz, Adagrah Aniakwo, Luke, Bromley, Luke, Green, Luke, Paterson, Luke, Peters, Luke, Abdur-Rahman, Lukman, Omomeji, Lukman, Amosu, Lukmon, Kolongi, Lungushinga Christopher, Bin Aizan, Luqman Naim, Imchen, Lurong, Chang, Lydia, Mukamazera, Lydie, Katsiaras, Lykoyrgos, Al-Boukhari, Lynn, Chong, Lynn, Karydakis, Lysandros, Peris, M. Roosindu, Cancelas, Mª Dolores, Kariem, Maahir, Amoako-Boateng, Mabel, Alshamikh, Mabroukah, Ishak, Mabruok, Narayanan, Machingal, Matyja, Maciej, Walędziak, Maciej, Zounon, Mack-Arthur, Trindade, Madalena, Shahid, Madeeha, Kelly, Madeleine, Bajwa, Madiha, Bowles, Madison, Roussos, Madison, Sampaio-Alves, Mafalda, Manfredini, Magda, Kołomańska, Magdalena, Redynk, Magdalena, Farooq, Maham, Ali, Mahamudu Ayamba, Rodha, Mahaveer Singh, Alsalawi, Mahdi, Lodha, Mahendra, Sethi, Mahesh Kumar, Khalil, Mahfoud, Singh, Mahima, Abdualqader, Mahmmoud yehia, Abdelhafez, Mahmood, Sersarah, Mahmood, Abdelreheem, Mahmoud, Abu Al Amrain, Mahmoud, Barbarawi, Mahmoud, Diab, Mahmoud, Eissa, Mahmoud, ElFiky, Mahmoud, Elmesalmi, Mahmoud, Elmousili, Mahmoud, Fahmy, Mahmoud, Faisal, Mahmoud, Jabal, Mahmoud, Saad, Mahmoud M., Mahafdah, Mahmoud, Marei, Mahmoud Marei Abdelaziz, Mostafa, Mahmoud, Reda, Mahmoud, Zahran, Mahmoud, Suleman, Mahmowd, Genç, Mahmut Salih, Haghighat Ghahfarokhi, Mahta, Abubakar, Maimuna, Haimona, Mairarangi, Camuera, Maite, H. Oweidat, Majd, Mansour, Majd, Kalabić, Majda, MohammedAli, Majdeddin, Abu Daoud, Majdi, Almahjoub, Majdolin, Bilfaqirah, Majed, Yigah, Makafui, Akkawe, Malak, Dery, Malcolm, West, Malcolm, Rius, Malena, Nandasena, Malith, Aljarawn, Mallak, Masaaod, Mallak, Manangi, Mallikarjuna, Windsouri, Mamadou, Battili, Mamata, Rakotonaivo, Mamisoa Judicaël, Benghazi, Manaji, Al-Dhaheri, Manal, Almaqrahi, Manal, Katif, Manal, Alshami, Manar, Ibrahim, Manar, Ramazanov, Manas, Kaur, Mandeep, Agrawal, Manish Kumar, Pathak, Manish, Aggarwal, Manisha, Chandrasegaram, Manju, Anandan, Manoj, K S D, Manoj Kishan Lal, Kumar, Manoj, Sarda, Manoj, K B, Manojkumar, Jokubauskas, Mantas, Moreno Gonzales, Manuel Arturo, Cruz, Manuel, Diez Alonso, Manuel, Garcia, Manuel, Perez, Manuel, Mosquera Paz, Manuel Santiago, Cammelli, Manuela, Mercurio, Manuela, Singh, Manvinder, Taamreh, Manwa, Canals Sin, Mªpilar, Carbonell Pradas, Mar, Nunes, Mara, Sawaftah, Marah Ahmad, Khalil, Maram, Schneider, Marcel André, Steffani, Marcella, Pisano, Marcello, Doniquian, Marcelo Alejandro, Martínez Bareiro, Marcelo Nicolás, Pagani, Marcelo, Scortechini, Marcelo, Carvalho, Márcia, Sánchez Audelo, Marco Antonio, Brizzolari, Marco, Ceresoli, Marco, De Prizio, Marco, Amisano, Marco Francesco, Gramellini, Marco, Marcianò, Marco, Mariani, Marco, Milone, Marco, Montagna, Marco, Piccino, Marco, Santos, Marco, Dyer, Marcus, Kang, Marcus, Mahadi, Mardhiana, Zawadzki, Marek, Yinusa, Margaret, Bernardo, Margarida, Nunes Luís, Margarida, Gambelli, Margherita, Flint, Margot, Aggelidou, Maria, Bequis, Maria Agustina, Sotiriou, Maria Aikaterini, Ñañez, Maria Alejandra, Tahir, Maria Ambreen, Gascón Domínguez, María Ángeles, Asimakidou, Maria, Mourato, Maria Beatriz, Blanco, Maria, Christou, Maria, Coronas Soucheiron, Maria, Pignanelli, Maria Costanza, Kalaydjian, María Cristina, Martí-Ejarque, Maria del Mar, Olmedo Reinoso, María Del Mar, Cebollero, María Del Pilar, Derattani, Maria, Gama Caldeira, Maria Do Carmo, Drogouti, Maria, Gonzalez-Gonzalez, Maria Elena, Muñoz Fernández, María Elena, Muriel, María Emilia, Duran, María Eugenia, Zarate Casas, María Fernanda, Florou, Maria, Piacentini, Maria Gaia, Seixo, Maria Inês, Bellini, Maria Irene, Peña Soria, Maria Jesús, Martínez, María José, Medina, Maria José, Rueda Medécigo, María José, Karakeke, Maria, Kausar, Maria, Kyriazi, Maria, Marqueta De Salas, Maria, Modolo, Maria Marta, Mateu, Maria, Mavri, Maria, El Ghoul Miliotou, Maria Melina, Moreno Gijon, Maria, Papadoliopoulou, Maria, Proclamà, Maria Pia, Picciochi, Maria, Reis, Maria, Rennis, Maria, D'Anna, Maria Rosa, Ruffoli, Maria, Ruiz Soriano, María, Sánchez Ramirez, Maria, Sánchez-Rubio, María, Schüler, Maria, Sotiropoulou, Maria, Barrio Renteria, Maria Teresa, Tsopozidi, Maria, Vasconcelos, Maria, Facchino, Maria Vittoria, Wikar, Maria, Aguilera-Arevalo, Maria-Lorena, Abdu, Mariam, Asarbakhsh, Mariam, Elmiesiry, Mariam, Ashong, Marian Esi, Gomes, Mariana, Capuano, Marianna, Lill, Marianne, Nieto Galvan, Mariano, Osso, Mariasara, Olivos, Maricarmen, Sacdalan, Marie Dione, Weber, Marie-Christin, Gonzalez, Marijose De Cristo, Ferreira, Marília, Infantes Ormad, Marina, Kouliou, Marina Nektaria, Ransome, Marina, Vicario Bravo, Marina, Cuesta Argos, Mario, Faletar, Mario, Giuffrida, Mario, Lainez Escribano, Mario, Pacilli, Mario, Pannullo, Mario, Rodriguez-Lopez, Mario, Trejo-Avila, Mario, Merrakos, Marios, Tello Jimenez, Marisol, Kalisvaart, Marit, Quaunine, Marium, Perera, Mariyan, Harris, Mark, Youssef, Mark Melad Thabet, Peter, Mark, Philipp, Mark, Portelli, Mark, Jesudason, Mark Ranjan, Sammut, Mark, Tomlinson, Mark, Zammit Vincenti, Mark, Despotidis, Markos, Albertsmeier, Markus, Quante, Markus, Löffler, Markus W., Gurung, Markush, Gumsheimer, Marlena, Benamrouche, Maroua, Chaccour, Maroun, Ahmed, Marriam, Farooqui, Marryam Riaz, Angelini, Marta, Ortega Escudero, Marta, Martin Gimenez, Marta Pilar, Reia, Marta, Scricciolo, Marta, Caramantin Obando, Martha Maria, Gosselink, Martijn, Bertrand, Martin, Dum, Martin, Kajic, Martin, Karamanliev, Martin, Kyereh, Martin, Lucchini, Martin, Schön, Martin, Morna, Martin Tangnaa, Binda, Martina, Ceolin, Martina, Martorana, Martina, Zambon, Martina, Shams, Marvi, Alansary, Marwa, Alnuwayli, Marwa, Khalifa, Marwa, Bahnacy, Marwan, Iqreewi, Marway, Nnabagulanyi, Mary, Saleem, Marya, Alhimyar, Maryam, Kamal, Maryam, Masood, Maryam, Razaq, Maryam, Siddique, Maryam, Lazo Ramírez, Maryzela, Edeeb, Masaoud, Solkar, Maseera, Adetoyi, Mashood, Adeniyi, Caccetta, Massimiliano, Casati, Massimiliano, Veroux, Massimiliano, Dugo, Massimo, Bevanda, Mateo, Santillan, Mateo, Mietła, Mateusz, Pryt, Mateusz, Muir, Mathew, Bei, Matilda, McGuinness, Matt, Aulicino, Matteo, Castrovillari, Matteo, Filardo, Matteo, Palmeri, Matteo, Pisano, Matteo, Rottoli, Matteo, Gjoka, Mattheus, Binks, Matthew, Corcos, Matthew, Kwon, Matthew, Maybury, Matthew, Sammut, Matthew, Tutton, Matthew, Watson, Matthew, Biebl, Matthias, Janda, Matthias, Maak, Matthias, Wichmann, Matthias, Berselli, Mattia, Gritti, Mattia, Molteni, Mattia, Pacilli, Maurizio, Favoriti, Mauro, Garino, Mauro, Podda, Mauro, Santarelli, Mauro, Alfaid, Mawada, Albert, Mawadri Jimmy Isaac, Oyortey, Mawuenyo Attawa, Enßlin, Max, Berlet, Maximilian, Brunner, Maximilian, Kießler, Maximilian, Scheiterle, Maximilian, Sohn, Maximilian, Busch, Maximiliane, Perkins, Maya, Sabboh, Maya, Badkur, Mayank, Okudero, Mayowa, Mohamedshafee, Maysoon, Al-Juaifari, Maytham Aqeel, Elesseily, Mazen, Mohammad, Mazen, Nikberg, Maziar, Jean Claude, Mbonicura, Şermet, Medeni, Chisthi, Meer, Luthra, Meera, Sulciner, Megan, Kaple, Meghali, Bhat, Meghana, Koç, Mehmet Ali, Avci, Mehmet Alperen, Kizilkaya, Mehmet Celal, Kara, Mehmet Emin, Ozcelik, Mehmet Faik, Ozsoy, Mehmet Sait, Zaigham, Mehreen, Mesfin, Mekdelawit, Kalender, Mekselina, Mellado Tellez, Mel Paul, González De Miguel, Melania, Farrugia, Melanie, Theodoridou, Melanie, Barcelona, Melden Darrell, Aktas, Melik Kagan, Fernández Zurita, Melissa Andrea, Bautista, Melissa, Park, Melissa, Rodríguez-Ordoñez, Melissa-Zohemia, Yashar, Meltem, Worku, Mengistu, Al-Fraijat, Meran, Estaire Gómez, Mercedes, Shoshkova, Meri Danailova, Kruščica, Merima, Tanal, Mert, Çuhadar, Merve, Tokocin, Merve, Agyapong, Meshach Manu, Erkaya, Metincan, Okechukwu, Mgbako, Adinku, Michael, Bickford, Michael, Ediale, Michael, Issa, Michael, Konstantinidis, Michael K., Lie, Michael, M. Nathan, Michael, Maclean, Michael, Nortey, Michael, Pellen, Michael, Pham, Michael, Pitiakoudis, Michael, Singh, Michael Prodip, Spartalis, Michael, Van Der Colf, Michael, Wilson, Michael, Billis, Michail, Karanikas, Michail, Papamichail, Michail, Vailas, Michail, Kisielewski, Michał, Kusiński, Michał, Nycz, Michał, Święch, Michał, Fagbayimu, Micheal, Adamina, Michel, Fiogbe, Michel, Prudhomme, Michel, Angelucci, Michela, Campanelli, Michela, Cricrì, Michele, Grande, Michele, Manigrasso, Michele, Scopelliti, Michele, George, Michelle, Mozel, Michelle, Galasyuk, Mick, Chevallay, Mickael, Giuliano, Micol, Dobón Rascón, Miguel Ángel, Fernandez Romero, Miguel Angel, García Ureña, Miguel Ángel, Zaragoza Mendieta, Miguel Ángel, Bejarano Serrano, Miguel, Brito, Miguel, Calderon, Miguel, Jurado Román, Miguel, Palas, Miguel, Li Valencia, Miguel Roberto, Sebastián-Mendoza, Miguel-Julián, Muresan, Mihai-Stefan, Slavchev, Mihail, Agapov, Mikhail, Milentijević, Milica, Catterall, Millie, Stjepanovic, Milos, Doss, Mina, Natey, Mina, Aikins, Minas, Mattis, Minca, Ekanayake, Minoli Tharushika, Tora, Mir Mehrab Sharmin, Alsharayri, Mira, Shalaby, Mira, Boras, Miran, Riba Martínez, Mireia, Mogiatti, Mirella, Salibašić, Mirhan, Biancu, Miriam, Cappiello, Miriam, Koschke, Miriam Luise, Sadek, Mirna, Szura, Miroslaw, Horga, Miruna, Dason, Mishael, Tayyab, Mishal, Imirski, Mitko, Pejović, Mladen, Tabaza, Mo'Ath, Alneasan, Moaaz, Shalkamy, Moamen, Issa, Moammad Issa, Erfan, Moatasem, Ewedah, Moataz, Srour, Moayad, Beletachew, Moges, Abbas, Mohamad, Farho, Mohamad Ali, Marawy, Mohamad Kher, Klib, Mohamad, Morjan, Mohamad, Sawas, Mohamad Nabhan, Elghriani, Mohamed Abdelbaset Masoud, Abdelmaboud, Mohamed, Abdelmaksoud, Mohamed, Abdullahi, Mohamed, Abo Abdo, Mohamed, Ahmed, Mohamed, Ahmoud, Mohamed, Al Sayed, Mohamed, Suliman, Mohamed Almouafaq, Alsori, Mohamed, Altajouri, Mohamed, Assalhi, Mohamed, Berrakkouch, Mohamed, Elnour, Mohamed, Abdelsalam, Mohamed Elsayed Elaraby Abdelrahim, Elsayed Metwally, Mohamed, Hajalamin, Mohamed, Kamal Matter, Mohamed, Khaled, Mohamed, Kouta, Mohamed, Masoud, Mohamed, Almihashhish, Mohamed Miftah, Mokhtar, Mohamed, Mostafa, Mohamed, Yassin, Mohamed Musa, Bouhafs, Mohamed Nedjmeddine, Herdan, Mohamed Omar, Omer, Mohamed, Osman, Mohamed, Zaazou, Mohamed, Zahed Abdalla, Mohamed, Melouane, Mohamed-Sami, Abed, Mohammad, Sawaftah, Mohammad Ahmad Mohammad, Al-Masri, Mohammad, Al-Qannas, Mohammad, Ali-Hassanzadeh, Mohammad, Yunus, Mohammad Alif, Aloulou, Mohammad, Alrantisi, Mohammad, Araydah, Mohammad, Bani Hani, Mohammad, Barakat, Mohammad, Durrani, Mohammad, Khan, Mohammad Faisal, Dwikat, Mohammad Fuad, Hasan, Mohammad, Nabhan, Mohammad Hassan, Hijazi, Mohammad, Abu Albahrain, Mohammad Karam, Barakat, Mohammad Mounzer, Mubarak, Mohammad, Omar, Mohammad, Pourfridoni, Mohammad, Mslmani, Mohammad Rabee, Salah, Mohammad, Tanashat, Mohammad, Yahmad, Mohammad, Elmujtaba, Mohammed, Abd Al-Fattah, Mohammed, Abdelkabir, Mohammed, Abosedra, Mohammed, Sarker, Mohammed Abu Kawsar, Abudabbous, Mohammed, Abuwarda, Mohammed, Elgak, Mohammed Ahmed, Al Hinai, Mohammed, Al Zebda, Mohammed, Al-Shehari, Mohammed, Alharthi, Mohammed, Ali, Mohammed, Ismael Alamin, Mohammed Ali, Alqadasi, Mohammed, Alshanwani, Mohammed, Alshehri, Mohammed, Asaad, Mohammed, Bashir, Mohammed, Bohlala, Mohammed, Meghaizerou, Mohammed El Amine, Albanna, Mohammed Emad Hashem, Ghunaim, Mohammed, Goga, Mohammed, Hajhamad, Mohammed, Hamada Takrouney, Mohammed, Hammoda, Mohammed, Hamoud Almahly, Mohammed, Muragi, Mohammed, Mohammed, Mohammed Mustafa Hassan, Obaid, Mohammed, Omar, Mohammed, Said, Mohammed, Salah, Mohammed, Saleh Khatab, Mohammed, Aliyu, Mohammed Salele, Shakhshir, Mohammed, Sheriff, Mohammed, Tageldin, Mohammed, Abdelfattah, Mohanad, Daher, Mohanad, Lotfy, Mohanad, Alqedrh, Mohannad, Nasani, Mohannad, Mohd Shah, Mohd Shahrulsalam, Madany, Mohie El-Din Mostafa, Mobolaji-Ojibara, Mojisola, Nkogatse, Moleseng, Alazabi, Mona, Gupta, Money, Bogdan, Monica, Guerrero, Monica, Noguez Castillo, Monica, Gureh, Monika, Kacem, Montasser Jamaleddine, Tarar, Moosa Feroze, Seto, Morel, Steinruecke, Moritz, Edena, Morrison, Abdulsalam, Moruf, Abdelhadi Suliman Adam, Mosab, Saleh, Mosab, Anati, Mosaikah, Dokurugu, Moses Abdulai, Agunloye, Moses, Ibadin, Moses, Momoh, Moses, Abdelkarim, Mostafa, Kamar, Mostafa, Kotb, Mostafa, Mahran, Mostafa, Mohamad Amin, Mostafa, Shalaby, Mostafa, Waseem, Mostafa, Almaletti, Motasem, Saifi, Motaz, Tsuruta, Motohisa, Agbadebo, Mouhamed, Arnaout, Moumen, Ojo, Moyosoluwa, Sharma, Mrthyunjayani, Azzuz, Muad Mohamed Ramadan, Haj Hussein, Mudar, Ameen, Muftiat Omolola, Nkoronko, Mugisha, Fitri, Muhamad, Abdullah, Muhammad, Bashir, Muhammad Ahmad, Sadiq, Muhammad Ahmad, Ahmed, Muhammad, Ali, Muhammad, Al-Yusuf, Muhammad Ali, Haider, Muhammad Aliyan, Alshaar, Muhammad, Mirza, Muhammad Bilal, Che Yaacob, Muhammad, Daniyan, Muhammad, Elzayat, Muhammad, Butt, Muhammad Faizan, Sadiq, Muhammad Hamza, Chishti, Muhammad Haris, Ismail, Muhammad Izzat Shufphi, Kashif, Muhammad, Khalid, Muhammad, Mansoor Iqbal, Muhammad, Bin Khalid, Muhammad Moaz, Rafique, Muhammad Nouman, Raheem, Muhammad, Khalid, Muhammad Saud, Usama, Muhammad, Usman Malik, Muhammad, Saqib, Muhammad Waleed, Elhadi, Muhammed, Ateş, Muhammed Ikbal, Demirpolat, Muhammed Taha, Ergenç, Muhammer, Bello, Muideen, Kulimbet, Mukhtar, Nyirenda, Mulinda, Taeme, Mulugeta, Denini, Muna, Aziz, Munazzah, Yahaya, Mundashiru, Eugene, Muneza, Amadu, Munira, Chauhan, Munish, Acar, Murat, Teressa, Murti, Dauphin, Muryango, Arafat, Musa, Althomali, Musab, Rayzah, Musaed, Husain, Musharraf, Tolani, Musliu Adetola, Abu Jayyab, Mustafa, Al-Attraqchi, Mustafa, Kara, Mustafa Alper, Seker, Mustafa Ege, Gün, Mustafa, Hamed, Mustafa, Mehanny, Mustafa, Oncel, Mustafa, Sabri Massadi, Mustafa, Uyanik, Mustafa Safa, Uzunoglu, Mustafa Yener, Abdullahi, Mustapha, Saidani, Mustapha, Nofal, Mutaz, San, Myat, Ishak, Myrna, Keramida, Myrto D., Nik Burhanuddin, N.M. Syahrin, Talat, Nabila, Shehata, Nada, Alasbahi, Nadeen, Marcos, Nádia, Al Amri, Nadiah, Absy, Nadine, Parker, Naeelah, Lindi, Naeimah, Omer, Nafisa, Papadogianni, Nafsika, Rawal, Nagendra, Ismaiel, Nahar, Ben Hasan, Najat, Albahloul, Najla, Gokhare Viswanath, Nakul, Srinivas, Namitha, Christian, Nana Ama, Obuobi, Nana Kwame Asare, Beharry, Naomi, Yousefzadeh Kandevani, Naser, Alnamari, Nashwan, Oyelowo, Nasir, Oloko, Nasirudeen, Alzerwi, Nasser, Mosbah, Nasser, Shulman, Nastassia, Andrade, Natacha, Boumas, Natacha, Cobeño Tamayo, Natalia, Barrera Lopez, Natalia Guadalupe, Palamara, Natalia, Blencowe, Natalie, Marzouqa, Natalie, Blencowe, Natalie S, Salgadoe, Natalie, Techapongsatorn, Nathakorn, Paez, Nathaly, Ekwo, Nathan, Saini, Navdeep, Malik, Naveed Akhtar, Sharma, Naveen, Kumar, Navin, Chaudhry, Navneet Kumar, Karimbocus, Nawaaz, Rasool, Nazeerah, Lodhi, Nazia, Kavak, Nazli, Ildephonse, Ndayiragije, Diomede, Nduwimana, Bayleyegn, Nebiyou S., S.Bayleyegn, Nebiyou, Jović, Nediljko, Mosleh, Neebal, Aruldas, Neerav, Kapur, Neeti, Paul Sigamony, Negine Paul, Karthikeyan, Neha, Tabatabaian, Nelia, Affram, Nelson, Agboadoh, Nelson, Tran, Nelson, Lalovic, Nenad, Agugua-Obianyo, Nene, Kullab, Nermen, Lahmer, Nesrin, Raiq, Neven, Soldo, Neven, Spiteri, Neville, Chen, Nevin, Al Rabadi, Nezar, Christian, Ngarambe, Cabrel, Ngongang Ngansop, Leonelle Lore, Nguefack Noudem, Furbetta, Niccolò, Ensor, Nicholas, Tsantikos, Nick, Seeger, Nico, Cillara, Nicola, Eardley, Nicola, Petrarota, Nicola, Tartaglia, Nicola, Feijoo, Nicolas, Finocchiaro, Nicole, Koter, Nicole, De Santis, Nicolò, Fabbri, Nicolò, Schiavon, Nicolò, Tamini, Nicolò, Sharma, Nidhi, Sánchez Fuentes, Nieves, Solomon, Nigus, Bugdayci, Nihat, Lekiashvili, Nika, Gupta, Nikhil, Narain, Nikhil, Uttam, Nikita, Kłos, Nikola, Ververidis, Nikolaos Adrianos, Arkadopoulos, Nikolaos, Dimitrokallis, Nikolaos, Garmpis, Nikolaos, Gouvas, Nikolaos, Kalampokis, Nikolaos, Kopanakis, Nikolaos, Kydonakis, Nikolaos, Machairas, 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Ismail, Srraa, Zourntou, Stamatina-Emmanouela, Nwabuoku, Stanley Emeka, Ideh, Stanley, Charitonos, Stavria, Liapis, Stavros Chrysovalantis, Faber, Stefan, Piccioni, Stefania Angela, Romano, Stefania, Silvestre, Stefania, Jarmusch, Stefanie, Soelling, Stefanie, Cardelli, Stefano, Chaifouroosh Mamagany, Stefano, Corso, Stefano, Basso, Stefano Maria Massimiliano, Megna, Stefano, Bitsianis, Stefanos, Tsatsos, Stefanos, Morales, Steffanía, Gerdes, Stephan, Göller, Stephanie, Hanna, Stephanie, Tabiri, Stephen, Agana, Stephen, Theivendran, Stephen Arthur, Kache, Stephen, Knight, Stephen R, Smith, Stephen, Stonelake, Stephen, Wrenn, Stephen, Gopaul, Steven, Vederaki, Styliani, Kapiris, Stylianos, Kykalos, Stylianos, Hlaing, Su Su, Chia, Su Yin Denise, Abu Khousa, Suad, M. Udwan, Suad, Raul, Subrat, Chase, Suchita, Nair, Sudharrshan, Joseph, Sudhir, Singh, Sudhir Kumar, Singh, Sudhir, Timmalah, Suhaylah, Alsuwiyah, Suhir, Thalgaspitiya, Sujeewa Priyantha Bandara, Sellahewa, Sujeewa, Neogi, Sujoy, Burger, Sule, Polat, Süleyman, Alkadi, Sulman, Asiri, Sultan, Otho, Sumaira, Mewa Kinoo, Suman, Ebrahim, Sumayyah, Tontus, Sumeyya, Midya, Sumit, Thuraisamy Sarma, Sundaramoorthy Iyer, Payyanur Thotan, Sundeep, Kumar Venkatappa, Sunil, Techapongsatorn, Suphakarn, Kaur, Supreet, Jp, Supritha, Tan, Suqi, Djote, Surafel Mulatu, Surendran, Suraj, Singh, Surendra, Chilaka, Suresh, Lee, Susan, Henriques, Susana, Giridaran, Suseendirarajah, Achugatla, Sushma, Kumar, Suvam, Brincat, Svetlana, Deshpande, Swati, Batista, Sylvia, Akharaekpanya, Tachporn, Moges, Tadesse Girma, Türkmen, Taha Berkay, Alhaj Hasan, Taima, Alshawabkeh, Taima', Majed, Taima', Lawal, Taiwo Akeem, Ibiyeye, Taiye Taibat, Rashid, Tajamul, Košir Božič, Tajda, Mohammed, Tajudeen, Khewater, Talal, Abelman, Talia, Al Barhi, Tamadher, Mogne, Tamiris, Salazar-Lorenzana, Tania Abril, Akter, Tania, Gómez Sanz, Tania, Motiwala, Tanmay, Valizadeh Elizeh, Tanya, Almahdi, Tanzeel, Albushary, Tanzel Alrahman, Abdulrahman, Taofeeq, Finlay, Tara, Chouari, Tarak, Awad, Tarek, Sabra, Tarek, M. Abubasheer, Tareq, Alhusban, Tariq, Yılmaz, Tarık Emre, Aloqaili, Tasneem, Aldirawi, Tayef, Karahasanoğlu, Tayfun, Gülşen, Taygun, Jemal, Tebarek, Nadeem, Tehmina, Singh, Tejinder Paul, Alinger, Temsula, Longkumer, Temsutoshi, Lo, Terence, Gimenez Maurel, Teresa, Uprak, Tevfik Kıvılcım, Petropoulou, Thalia, Rawther, Thampi, Techapongsatorn, Thawin, Manickam, Thendral, Padioti, Theodora, Kozonis, Theodoros, Sidiropoulos, Theodoros, Tsirlis, Theodoros, Theodosopoulos, Theodosios, Hessou, Thierry Kinnongni, Uiyapat, Thitapon, Agyen, Thomas, Harris, Thomas, Hugh, Thomas J, Jorgensen, Thomas W., Theivendrampillai, Thrshegan, Pham, Thuy Vy, Branco, Tiago, Nagwamutse, Tijjani Nasiru, Tony V, Tina, Devabalan Koil, Titus, Pilia, Tiziana, Abdulmola, Tmador Mahmed Ali, Oyeyemi, Tobiloba, Kebede, Tolera, Ibarra-Hurtado, Tomás Ramón, Reichelt, Tomas, Gach, Tomasz, Stefura, Tomasz, Wojewoda, Tomasz, Soric, Tomislav, Risteski, Toni, Tridip, Tridip Dutta Baruah, Yotsov, Tsanko, Doma Bhutia, Tshering, Girma, Tsion, Kwan, Tsun Yu, Ivanov, Tsvetomir, Iahmo, TT, Ashkar, Tuleen, Mabogoane, Tumi, Olobatoke, Tunde, Sholadoye, Tunde T., Mishra, Tushar Subhadarshan, Parker, Tyla, Ezomike, Uchechukwu, Dilibe, Uchenna, Kumbhar, Uday, Una, Uduak-Abasi, Grossi, Ugo, Ezidiegwu, Ugochukwu, Edith, Ugwuoke, Daspal, Ujjwal, Kalu, Ukoha Agwu, Dietz, Ulrich, Ronellenfitsch, Ulrich, Wirth, Ulrich, Abdullah, Umar, Rivolta, Umberto, Jayarajah, Umesh, Kanyan Kassim, Umu-Hera, Govindan, Unnikrishnan, Fernandes, Urânia, Akram, Usman, Mohammed Bello, Usman, Omara, Usra, Naidoo, Uvarasen, Mahendravarman, Vaishnaivy, Negoita, Valentina Madalina, Mariottini, Valentina, Murzi, Valentina, Zucchini, Valentina, Agbakwuru, Valentine, Armenta Tapia, Valeria Estefania, Gentilino, Valerio, Borgogni, Vanessa, Ng, Vanessa, Wolfschluckner, Vanessa, Silvestri, Vania, Žufić, Vanja, Gunasaegaram, Varman, Kamalathevan, Vasan, Pillay, Vasanthan, Neykov, Vasil, Kalles, Vasileios, Mousafeiris, Vasileios, Papadopoulos, Vasileios, Tsaousis, Vasileios, Tselepidis, Vasileios, Vougas, Vasileios, Georgilaki, Vasiliki, Nikolaou, Vasiliki, Themelidi, Vasiliki, Manchev, Vassil, Ioannou, Veatriki, Jha, Vedant Shekhar, Dragisic, Vedran, Sutharshan, Vengadasalam, Alonso, Veronica, Brocco, Veronica, Ongil Rodríguez, Verónica, Schirinzi, Veronica, Budyakova, Veronika, Naunova, Vesna, Panduro-Correa, Vicky, Ruiz López, Víctor Andrés, Bill, Victor, Dassah, Victor, Gonzabay, Víctor Eduardo, Etwire, Victor, Modekwe, Victor, Serna-Alarcon, Victor, De Donato, Victor Ugo, Duque Mallén, Victoria, Liu, Victoria, Sharma, Vidushi, Kumar, Vijaya, Muralidharan, Vijayaragavan, Kakotkin, Viktor, Enemuo, Vincent, Kudoh, Vincent, Osoka, Vincent, Siepaal, Vincent, Granata, Vincenza, Dinuzzi, Vincenza Paola, Lizzi, Vincenzo, Ricchiuti, Vincenzo, Mosca, Vinicio, Kanna D, Vinoth, Nair, Vipin Venugopal, Ledda, Virginia, Michael, Vishal, Singh, Vishavdeep, Govindasamy, Vishendran, Kollengode, Viswanathan V, Giordano, Vittoria, Morinelli, Vittoria, Lin, Vivian, Cuk, Vladica, Cijan, Vladimir, Çalik, Volkan, Bakshi, Vrushank, Ten, Vyacheslav, Ratheesh, Vysakh, Alsado, Wael, Mayo, Wafik, Yang, Wah, Rehman, Wajeeh Ur, Abbas, Walaa, Al-Khyatt, Waleed, Mabood, Waleed, Santucci, Walter, Yew, Wan Ting, Tahir, Warda, De Silva, Warusha Dhammika Dulantha, Wijenayake, Wasantha, Almadhoun, Waseem J.N., Alhroub, Wasef, Ebrahim, Wesam, Jabłoński, Wiktor, Krawczyk, Wiktor, Bhatti, William, Lai, William Kwan Ho, Petrushnko, Wilson, Afedo, Wisdom, Kasetsermwiriya, Wisit, Serednicki, Wojciech, Wysocki, Wojciech, Zerefa, Wondwossen Amtataw, Vagena, Xanthoula, Tarrado, Xavier, Papazarkadas, Xenofon, Po, Xiang Yuen, Ouadi, Yacine, Myla, Yacob, Haido, Yacoub, Hasan, Yafea, Karataş, Yağmur, Carpio Colmenares, Yahaira, Galvañ Félix, Yaiza, Balogun, Yakub Lekan, Maktabi, Yaman, Nerabani, Yaman, Fulgence, Yamuremye, De Silva, Yannick, Asar, Yara, Samer Morsy, Yara, Ghaleb, Yasameen Saif Saeed Mohammed, Vashishth, Yash, M S, Yashas, Manickchund, Yashoda, Sakaray, Yashwant, Kara, Yasin, Tosun, Yasin, Zwain, Yasir, Farag, Yasmeen, Jedidi, Yasmine, Seada, Yasmine, Aldebasi, Yasser, Ashour, Yasser, Badr, Yassin, Sarpong, Yaw, Alawneh, Yazan, Aung, Yee Lay, Orabi, Yehia, Lam, Yick Ho, Şen, Yigit Kaan, Koyluoglu, Yilmaz Onat, Huang, Yining, Mintz, Yoav, Perez, Yocarli, Chamara, Yohan, Melkamu, Yohannes, Maestre González, Yolanda, Dean, Yomna, Metaferia, Yonas Yilma, Malki, Yosra, Mohamed, Younis, A. Omar, Yousef, Alhammoud, Yousef, Allaoua, Yousef, Tanas, Yousef, El Okazy, Youssef, Kerolous, Youssef, Mohamed, Youssef, Al-Junaidi, Youssuf, Lakdawala, Yousuf, Lu, Yuann, Asano, Yukio, Altinel, Yuksel, Aktimur, Yunus Emre, Fishman, Yuri, Kudryavcev, Yurii, Tandoğan, Yusuf Iskender, Razafimandimby, Yves Michaël, Adofo-Asamoah, Yvonne, Şenol, Zafer, Odeh, Zahra, Benamrouche, Zahra Rayane, Alkhaier, Zahraa, Al-Sheikh Ali, Zaid, Zaher, Zain Aldin, Alnajjar, Zaina, Al-Balushi, Zainab, Alkhuzaie, Zainab, Khraim, Zakaria, Toutounji, Zakaria, Djama, Zakarya, Farraj, Zamil, Shah, Zamir Ahmad, Khan, Zara, Khan, Zarnigar, Abo Alarous, Zayn Alabden, Asaad, Zaynab, Demetrashvili, Zaza, Lorenc, Zbigniew, Brekalo, Zdrinko, Hannouneh, Zein Alabdin, Robertson, Zelda, Bady, Zeyad, Durna, Zeynep, Wong, Zhen Yu, Fozo, Zien Alabdin, Klib, Zienab, Chin, Ziling, Tamou, Zime Farid, Johnson, Zina, Shabello, Ziyad, Orzeszko, Zofia, Aljalabi, Zohal, Al-Azher El-Hamel, Zohour, Karampotaki, Zoi Rafaila, Valera Sanchez, Zoraida, Matkovic, Zoran, Azhar, Zubair, Qureshi, Zubaria, Correa López, Zulema Margarita, Balciscueta, Zutoia, Musilová, Zuzana, Katusic, Zvonimir, Osama, Zyad, and Dauksa, Zygimantas
Published: 2024
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35. Malware Analysis for IoT and Smart AI-Based Applications

Author: Arshad, Syed Emad ud Din, Nasralla, Moustafa M., Khattak, Sohaib Bin Altaf, Alhaj, Taqwa Ahmed, Rehman, Ikram ur, Akhgar, Babak, Series Editor, Almomani, Iman, editor, Maglaras, Leandros A., editor, Ferrag, Mohamed Amine, editor, and Ayres, Nick, editor
Published: 2024
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36. The impact of a social-media-based weight management program: insights from the community campaign “obesity does not suit me”

Author: Alsaad, Areej, Aleid, Kawthar, Almadani, Layla, Alhaj, Omar, Jahrami, Haitham, and Janahi, Abdulrahman
Published: 2024
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37. TRANSLATING AYAHS ALEUDUL العدول IN THE QURANIC CONTEXTS: AN INTERDISCIPLINARY JURISPRUDENTIAL LINGUISTIC STUDY

Author: Ali Albashir Mohammed Alhaj
Subjects: ayahs aleudul العدول, quranic contexts, jurisprudential, interdisciplinary, translating, Islam, BP1-253, Islamic law, KBP1-4860
Abstract: The current research paper aims to critically study translating Ayahs Aleudul العدول in the Quranic contexts from an interdisciplinary jurisprudential linguistic perspective. The findings of the study showed that Aleudul العدول in the Qur'anic context is a phenomenon that reoccurs in many ayahs. The researcher selected one of the many: the Quranic Arabic Aleudul العدول in Ayah 33 of Surat al-Ahzab to explain the phenomenon and discuss it in detail. The study also showed that the Quranic Arabic Aleudul العدول came in the Qur'anic context to reveal the importance of the meaning to be explained in the context to which it is assigned. The foremost of the problems encountered by translators of the Holy Quran was the dearth of most exegesis relating to this recurring phenomenon in the Holy Qur'an. This is because exegesis is founded on the segmentation of the ayahs rather than a single ayah to determine their denotations and memorize the rulings from them only once.
Published: 2024
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38. A systematic review, meta-analysis, and meta-regression of the prevalence of self-reported disordered eating and associated factors among athletes worldwide

Author: Hadeel A. Ghazzawi, Lana S. Nimer, Areen Jamal Haddad, Omar A. Alhaj, Adam T. Amawi, Seithikurippu R. Pandi-Perumal, Khaled Trabelsi, Mary V. Seeman, and Haitham Jahrami
Subjects: Anorexia, Aerobic energy, Athletes, Eating disorders, Sport type, World region, Psychiatry, RC435-571
Abstract: Abstract Background The purpose of this meta-analysis was to provide a pooled prevalence estimate of self-reported disordered eating (SRDE) in athletes based on the available literature, and to identify risk factors for their occurrence. Methods Across ten academic databases, an electronic search was conducted from inception to 7th January 2024. The proportion of athletes scoring at or above predetermined cutoffs on validated self-reporting screening measures was used to identify disordered eating (DE). Subgroup analysis per country, per culture, and per research measure were also conducted. Age, body mass index (BMI), and sex were considered as associated/correlated factors. Results The mean prevalence of SRDE among 70,957 athletes in 177 studies (132 publications) was 19.23% (17.04%; 21.62%), I 2 = 97.4%, τ2 = 0.8990, Cochran's Q p value = 0. Australia had the highest percentage of SRDE athletes with a mean of 57.1% (36.0%-75.8%), while Iceland had the lowest, with a mean of 4.9% (1.2%-17.7%). The SRDE prevalence in Eastern countries was higher than in Western countries with 29.1% versus 18.5%. Anaerobic sports had almost double the prevalence of SRDE 37.9% (27.0%-50.2%) compared to aerobic sports 19.6% (15.2%-25%). Gymnastics sports had the highest SRDE prevalence rate, with 41.5% (30.4%-53.6%) while outdoor sports showed the lowest at 15.4% (11.6%-20.2%). Among various tools used to assess SRDE, the three-factor eating questionnaire yielded the highest SRDE rate 73.0% (60.1%-82.8%). Meta-regression analyses showed that female sex, older age, and higher BMI (all p
Published: 2024
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39. Correction: High-reduction radial shear rolling of aluminum alloy bars using custom-calibrated rolls

Author: Gamin, Yu V., Galkin, S. P., Koshmin, A. N., Mahmoud Alhaj Ali, A., Nguyen, X. D., and ELDeeb, I. S.
Published: 2024
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40. Enhancing sustainable solutions for food security in Jordan: using bacterial biofertilizer to promote plant growth and crop yield

Author: Mohammad Mashatleh, Almoayied Assayed, Nisreen Al-Hmoud, Husameddin Alhaj Ali, Rana Al Abaddi, and Mumen Alrwashdeh
Subjects: bacterial biofertilizers, plant–microbe interactions, sustainable agriculture, plant growth, cucumber, Jordan, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456
Abstract: IntroductionJordan suffers from agricultural land degradation, water scarcity, increasing in population, and the huge gap between production and consumption. Boosting of food production to meet the demand is one of the solutions. Biofertilizers are substances include beneficial microorganisms (e.g., bacteria) that are important in agricultural soil to improve yield through different mechanisms. The aim of this experiment is to study the impact of using locally produced-microorganisms along with chemical fertilizers to improve the yield of cucumber planting.MethodsThe experiment was carried out in a greenhouse equipped with all requirements for planting. The planting process of cucumber seedling was implemented using pots filled with soil collected from an agricultural land in the Jordan Valley, and mixed with manure, and categorized in three plots. Mixture of three types of microorganisms (STIMULANT A and B, and PHYTO-EM) along with chemical fertilizers were applied to the soil in some pots. Plants growth and agricultural parameters were observed. Data about crop yield, water consumption, leaf area, and chlorophyll were collected. Lab analysis of soil characteristics was also done to assess the impact of the products on soil.ResultsThe results showed that the yield production was the maximum in the plot of combining the benefits of biological and the chemical fertilizers compared to the control plot by 48%. The same plot showed water saving with 32.4% over the control plot. The bacterial biofertilizers enhanced the seedling growth all the time during the experiment by 14% more than the plants in the control plot. The average leaves area in plot with bio-products was 22.6% bigger than the control plot. In addition, the chlorophyll test indicated that the chlorophyll content was more in plot with biofertilizers. According to the soil analysis, the presence of bacterial biofertilizers enhanced the plant’s absorption of nutrients, and accordingly the EC decreased in the soil.DiscussionThe results of the experiment showed superiority of plot using the bacterial biofertilizers along with the chemical fertilizer, over the plots either using the chemical fertilizers alone or the bacterial biofertilizers alone. This can be attributed to the addition of bacterial biofertilizers with the chemical fertilizers in appropriate conditions. Our findings highlight the potential for bacterial biofertilizers to significantly improve crop yields and resource efficiency, contributing to food system transformation. This aligns with the UN Sustainable Development Goals, particularly SDG 2 (Zero Hunger) and SDG 15 (Life on Land), by offering sustainable agricultural solutions.
Published: 2024
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41. Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review.

Author: Nura Abdalrhman Alhaj, Mohd Faizal Jamlos, Sulastri Manap, Samah Abdelsalam, Abdelmoneim A. Bakhit, Rizalman Mamat, Mohd Aminudin Jamlos, Mohammed Salih Mohammed Gismalla, and Mosab Hamdan
Published: 2024
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42. Majority Voting Ensemble Classifier for Detecting Keylogging Attack on Internet of Things.

Author: Yahya Alhaj Maz, Mohammed Anbar, Selvakumar Manickam, Shaza Dawood Ahmed Rihan, Basim Ahmad Alabsi, and Osama M. Dorgham
Published: 2024
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43. The Neurobiology of Depression, Burnout and Resilience Among Healthcare Students

Author: Hamid Alhaj, Abdul Rahman Al Midani, Zainab Alkokhardi, Rashid Abu Helwa, and Almuzaffar Al Moukdad
Subjects: Psychiatry, RC435-571
Abstract: Aims Adapting to academic and social demands may be challenging for university students. Healthcare students are thought to be at high risk of burnout and Major Depressive Disorder (MDD) due to the demands of their training and emotional toll of caring for patients. This risk extends well into physician years, suggesting the persistence of an abnormal psychological state developed during training years. We aimed to investigate the prevalence and severity of depressive symptoms, burnout, and resilience in healthcare students, examine their correlation with salivary cortisol levels, and assess how these factors change during examination periods. Methods This longitudinal study investigated the mental health and salivary cortisol levels of medical, dental, or health science students in the UAE at two distinct periods, at the start of the academic semester, and within one week of the examination period. A total of 147 students (51% females) were included, and their demographics and education variables, including cumulative GPA (cGPA), were assessed. Depression, resilience, and burnout scores were measured using the Patient Health Questionnaire-9, Nicholson-McBride Resilience questionnaire, and Maslach Burnout Inventory-Student-Survey, respectively. Participants who met the criteria for MDD were identified. Time-dependent cortisol levels were modelled using functional data analysis and standardised cortisol levels were calculated. Data analysis was done using mixed effect models in R 4.1.2. Results Among participants, 12.2% screened positive for MDD at the beginning of the semester, increasing to 16.6% during the examination period. Depression scores were higher during the examination period (p = 0.011). Female gender was significantly associated with higher levels of depression (median difference = 3.00; p < 0.001) and burnout but lower levels of resilience (mean difference = 3.27; p < 0.001). cGPA below 75% (p = 0.009) and history of mental illness (p = 0.015) were associated with increased levels of depression. High cortisol responders (z-value > 1) developed higher depression scores (p = 0.033) compared with low cortisol responders (z-value < −1). Participants with higher resilience were less likely to develop depression and burnout (p < 0.003). Conclusion This study shows relatively high levels of depression among healthcare students in the UAE, particularly in females, students with history of mental illness, students with low cGPA, and students with high cortisol levels. Efforts to promote culturally appropriate resilience skills need to be developed to reduce distress and depression in this population.
Published: 2024
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44. How Are FOMO and Nomophobia Linked to Symptoms of Depression, Anxiety and Stress Among University Students?

Author: Hamid Alhaj, Abdelraouf Muthana, Asia Abdalla, Menna Marouf, and Nisreen Awad
Subjects: Psychiatry, RC435-571
Abstract: Aims Nomophobia, defined as the fear of being without one's mobile phone, and FOMO (Fear of Missing Out) are on the rise and are thought to be linked to increased mental health problems. In the information era, being separated from smartphones may cause anxiety, while the expectation of continuous updates on social media may increase feelings of inadequacy and distress when comparing one's life with selected highlights of others. The extent of nomophobia and FOMO in the Middle East and whether these experiences are associated with psychiatric disorders are yet to be ascertained. The purpose of this study was to determine the prevalence of nomophobia and FOMO among university students in the UAE and the relationship between these phenomena and depression, anxiety and stress levels. Methods 232 female and 103 male undergraduate students in four Emirates (Abu Dhabi, Dubai, Sharjah, and Ajman) took part in the study. An online questionnaire was developed and piloted. Nomophobia and FOMO were measured using validated questionnaires, namely NMP-Q and FoMOs. Symptoms of depression, anxiety and stress were assessed using the DASS-21 scale. Data were analysed using SPSS 22. Significance level was set at p < 0.05. Results The data revealed that 28.6% of respondents exhibited severe, 47.7% moderate, and 23.7% mild nomophobia symptoms. 52.5% of participants reported moderate to extreme fear that others have more rewarding experiences than them, with the median FoMO score being (25.62). Higher nomophobia, stress, anxiety, and depression levels correlated with elevated FOMO scores (p < 0.001). Variations in FOMO scores were noted across university, gender, and college. Strong associations existed between severe nomophobia and heightened stress, anxiety, and depression (p < 0.001). The findings underscored contextual influences on nomophobia intensity among diverse individuals. Conclusion The study identified a high prevalence of nomophobia and FOMO among UAE university students. Significant correlations were observed between these digital-related fears and mental health issues like depression, anxiety, and stress. Our results delineate the necessity for exploring and implementing interventions that address smartphone-related phobias to safeguard the mental well-being of UAE university students, considering their unique cultural context.
Published: 2024
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45. Dynamic numerical modeling and performance optimization of solar and wind assisted combined heat and power system coupled with battery storage and sophisticated control framework

Author: Bashar Shboul, Mohamad E. Zayed, Nedaa Al-Tawalbeh, Muhammad Usman, Kashif Irshad, Alhaj-Saleh Odat, Mohammad Azad Alam, and Shafiqur Rehman
Subjects: Energy building management, Solar dish stirling engine, Horizontal-axis wind turbine, Sophisticated control strategy, Sensitivity analysis, Thermo-enviro-economic analysis, Technology
Abstract: Incorporating distributed renewable energy sources into heating, power, and cooling systems is facilitating the drive toward intelligent building energy solutions. However, the inherent uncertainties associated with controllable renewable resources pose challenges for the thermo-economic scheduling of smart buildings. Nonetheless, the flexibility inherent in smart buildings can be leveraged through various market mechanisms. Hence, this research introduces a sustainable energy-building system driven by an autonomous solar/dish Stirling engine (SDSE) and wind turbine combined with a sophisticated control strategy and battery storage, which is designed to provide heat and power requirements. The proposed control strategy is also devised to optimize energy generation, ensuring prudent conservation and minimal waste, thereby amplifying overall efficiency and financial viability. The meticulous design of the system is accomplished through advanced MATLAB/Simulink® modeling. A thorough technical sensitivity analysis meticulously hones design parameters, revealing optimal operational thresholds. Simulation outcomes unveil a consistent Stirling engine (SE) efficiency, achieving a pinnacle of 35 %, while the SDSE attains over 28 %, respectively. The horizontal axis wind turbine, encompassing 100 kW and 500 kW modules, demonstrates power coefficients spanning from 0.18 to 0.09, with corresponding land area requirements ranging from 4.22 m2 to 21.10 m2, emphasizing the pivotal roles of module power and land area optimization. This paper also casts a spotlight on the environmental repercussions of the system, illustrating its potential to avert up to 30,000 kg of CO2 emissions per kWh/year. Moreover, the levelized cost of electricity ranges from 0.13 to 0.16 $/kWh, accompanied by an hourly cost that fluctuates between 3 $/h and 40 $/h, respectively. Conclusively, the developed modeling can be regarded as a significant stride in the realm of hybrid renewable energy systems, replacing the conventional photovoltaic/wind models with cutting-edge solar/wind configurations managed by a sophisticated control strategy and battery storage system.
Published: 2024
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46. Epidemiological observations and management challenges in extrapedal mycetoma: A three-decade review of 420 cases.

Author: Abubakr Abdalla Mohammed Alhaj, Eiman Siddig Ahmed, Abeer Hassan, and Ahmed Hassan Fahal
Subjects: Arctic medicine. Tropical medicine, RC955-962, Public aspects of medicine, RA1-1270
Abstract: Mycetoma is a serious, destructive, disfiguring chronic granulomatous inflammatory disease affecting the subcutaneous tissues that spread to involve the skin, deep tissues and bone. The disease predominately affects the limbs, and extrapedal mycetoma is rarely reported. The reported extrapedal ones are characterised by high morbidity and mortality. This communication reports on 420 patients with extrapedal mycetoma seen and managed at the Mycetoma Research Centre (MRC), University of Khartoum, between January 1991 and December 2021. In this descriptive, cross-sectional, hospital-based study, the electronic records of all mycetoma-confirmed patients seen during the study period were carefully and meticulously reviewed. The confirmed patients with extrapedal mycetoma were included in this study. The study included 420 patients with extrapedal mycetoma, 298 (70.7%) had eumycetoma, and 122 (29.3%) had actinomycetoma. There were 343 male patients (81.7%) and 77 (18.3%) females, with a male-to-female ratio of 4:1. Their ages ranged between 1.5 and 95 years, with a median of 28 years. Most of the patients were students and farmers. The majority of patients were from El Gezira, North Kordofan, and the White Nile States. Mycetoma was painful in 21%, and a family history of mycetoma was recorded in 11.5% of patients. The buttocks (37.9%) and head and neck (16.9%) were affected most. Less frequently affected sites were the trunk and back (12%) each, abdominal and chest walls (4.5%) each and loin (1%). The prominent clinical presentation findings were multiple sinuses discharging grains (55%), massive swellings (46%), and lymphadenopathy (11.5%). Less commonly observed clinical findings were local hyperhidrosis (5.3%) and dilated tortuous veins close to mycetoma lesions (0.5%). The study showed that 204 patients (48.6%) had clinical improvement in terms of decreased lesion size and healing of sinuses following medical therapy. Sixty-six patients (15.7%) had no noticeable improvement. The lesion continued progressing despite treatment in 44 patients (10.5%). In the study, 118 patients were on regular follow-up, and in this group, a cure was documented in 25 patients (21.1%) with eumycetoma and 23 (19.4%) with actinomycetoma. Post-operative recurrence among eumycetoma patients was 40%, with a 1% mortality rate. The treatment outcome was unsatisfactory, characterised by a low cure rate, high recurrence (40%) and follow-up dropout (57%) rates. This emphasises the importance of early case detection and management, objective health education programmes and thorough patient counselling to urge people to seek treatment early and reduce dropouts.
Published: 2024
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47. Clinical Features of Cutaneous Paraneoplastic Syndromes in Hodgkin Lymphoma

Author: Benjamin J. McCormick MD, MS, Daniel Zieman MD, Jason C. Sluzevich MD, and Muhamad Alhaj Moustafa MD, MS
Subjects: Medicine (General), R5-920, Pathology, RB1-214
Abstract: Cutaneous paraneoplastic syndromes due to Hodgkin lymphoma present with a wide spectrum of clinical manifestations from generalized pruritus to exfoliative erythroderma. We summarize the clinical findings and outcomes of 14 patients with Hodgkin lymphoma and associated cutaneous paraneoplastic syndromes treated at Mayo Clinic over the past 3 decades. Cutaneous paraneoplastic syndromes may be present at the time of lymphoma diagnosis, whereas in other patients, it may appear at the time of relapse, including patients with initial absence of cutaneous manifestations during the initial lymphoma presentation. Our results indicate that complete resolution of the paraneoplastic syndrome is associated with significantly improved overall survival. Recognition of cutaneous paraneoplastic syndromes is a crucial surrogate of relapsed malignancy and treatment requires targeting the underlying malignancy.
Published: 2024
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48. Combining features selection strategy and features fusion strategy for SPAD estimation of winter wheat based on UAV multispectral imagery

Author: Xiangxiang Su, Ying Nian, Hiba Shaghaleh, Amar Hamad, Hu Yue, Yongji Zhu, Jun Li, Weiqiang Wang, Hong Wang, Qiang Ma, Jikai Liu, Xinwei Li, and Yousef Alhaj Hamoud
Subjects: UAV, winter wheat, SPAD, features selection strategy, features fusion strategy, Plant culture, SB1-1110
Abstract: The Soil Plant Analysis Development (SPAD) is a vital index for evaluating crop nutritional status and serves as an essential parameter characterizing the reproductive growth status of winter wheat. Non-destructive and accurate monitorin3g of winter wheat SPAD plays a crucial role in guiding precise management of crop nutrition. In recent years, the spectral saturation problem occurring in the later stage of crop growth has become a major factor restricting the accuracy of SPAD estimation. Therefore, the purpose of this study is to use features selection strategy to optimize sensitive remote sensing information, combined with features fusion strategy to integrate multiple characteristic features, in order to improve the accuracy of estimating wheat SPAD. This study conducted field experiments of winter wheat with different varieties and nitrogen treatments, utilized UAV multispectral sensors to obtain canopy images of winter wheat during the heading, flowering, and late filling stages, extracted spectral features and texture features from multispectral images, and employed features selection strategy (Boruta and Recursive Feature Elimination) to prioritize sensitive remote sensing features. The features fusion strategy and the Support Vector Machine Regression algorithm are applied to construct the SPAD estimation model for winter wheat. The results showed that the spectral features of NIR band combined with other bands can fully capture the spectral differences of winter wheat SPAD during the reproductive growth stage, and texture features of the red and NIR band are more sensitive to SPAD. During the heading, flowering, and late filling stages, the stability and estimation accuracy of the SPAD model constructed using both features selection strategy and features fusion strategy are superior to models using only a single feature strategy or no strategy. The enhancement of model accuracy by this method becomes more significant, with the greatest improvement observed during the late filling stage, with R2 increasing by 0.092-0.202, root mean squared error (RMSE) decreasing by 0.076-4.916, and ratio of performance to deviation (RPD) increasing by 0.237-0.960. In conclusion, this method has excellent application potential in estimating SPAD during the later stages of crop growth, providing theoretical basis and technical support for precision nutrient management of field crops.
Published: 2024
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49. Boosting resilience and yields in water-stressed sunflower through coordinated irrigation scheduling and silica gel applications

Author: Ali, Ahmed A., Lamlom, Sobhi F., A. El-Sorady, Gawhara, Elmahdy, Ahmed M., Abd Elghany, S.H., Usman, Muhammad, Alamri, Abdulaziz, Shaghaleh, Hiba, Alhaj Hamoud, Yousef, and Abdelghany, Ahmed M.
Published: 2024
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50. The impact of pH value on the transfer and release dynamics of doxorubicin facilitated by carbon nanotubes within the capillary network surrounding cancerous tumors through molecular dynamics simulation

Author: Saeed Gataa, Ibrahim, Younus Abdullah, Zainab, Almehizia, Abdulrahman A., Alhaj Zen, Amer, Salahshour, Soheil, and Pirmorad, M.
Published: 2024
Full Text: View/download PDF

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