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3. The effectiveness of simulation-based education on nurses’ performance in pediatric basic life support: An interventional study

Author

Karrar Muhaisen and Khamees Obaid

Subjects
effectiveness, simulation-based education, nurses, pediatrics, basic life support, Nursing, RT1-120
Abstract

Background: Mastering basic life support (BLS) algorithms is essential for effectively responding to emergencies and saving lives. However, research indicates that learners often retain BLS skills poorly, even immediately after completing educational courses. These deficiencies are attributed to the quantity and type of training received. Additionally, studies present inconsistent findings regarding the effectiveness of simulation-based BLS training.Objectives: This study aimed to evaluate the impact of simulation-based education on nurses’ performance in Pediatric Basic Life Support (PBLS).Methods: An interventional pretest-posttest study was conducted with 50 nurses from pediatric wards in two general hospitals in Al-Najaf City, Iraq, from September 16, 2023, to January 20, 2024. A convenience sample of 50 nurses was randomly assigned to two groups of 25, designated as the intervention and control groups. The intervention group participated in a simulation-based educational program, while the control group received no intervention. Both groups' PBLS skills were assessed before the intervention and one month after its conclusion. Data were collected using a socio-demographic information sheet and a PBLS skills assessment checklist. Statistical analysis was performed using paired t- test, independent t-test, Fisher’s exact test, chi-square tests, and ANOVA with SPSS software.Results: At baseline, only 16% of nurses in the intervention group demonstrated proficient BLS skills. By the end of the study, this figure increased to 80% in the same group. In contrast, no significant changes were observed in the performance of the control group. A significant difference (P0.05).Conclusion: The simulation-based training program significantly improved nurses' PBLS skills, equipping them to effectively resuscitate children experiencing cardiac arrest. It is recommended that simulation be utilized as an active approach to enhance nurses' PBLS competencies.

Published
2024
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7. Optimal Distributed Voltage Control via Primal Dual Gradient Dynamics

Author

Khamees, Mohammed N., Liu, Yang, and Sun, Kai

Subjects
Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control
Abstract

The rapidly increasing penetration of inverter-based resources into a power transmission network requires more sophisticated voltage control strategies considering their inherent output variabilities. In addition, faults and load variations affect the voltage profile over the power network. This paper proposes a Primal Dual Gradient Dynamics based optimal distributed voltage control approach that optimizes outputs of distributed reactive power sources to maintain an acceptable voltage profile while preserving operational limits. Case studies of this new approach on IEEE test systems have verified its effectiveness.

Published
2023

8. Towards a More Resilient Healthcare Sector in Post-COVID-19 Pandemic in Jordan

Author

Omar Mowafi, Melina Al-Hasan, Basheer A. Khamees, Rima AL Hasan, Zu'bi M.F. Al-Zu'bi, and Barween Al Kurdi

Subjects
COVID-19 Pandemic, Governance, Health Care Sector, Jordan, Communication, Management. Industrial management, HD28-70, Business, HF5001-6182
Abstract

This study explores the desirable conditions for the Health Sector Governance in post-COVID-19 pandemic Jordan. A primary qualitative approach was used with semi-structured interviews carried out with eighteen public sector doctors and hospital managers in Jordan. The results of the study indicate that there is a need for the health care sector of Jordan to be improved through governance change. Moreover, there is a need for rapid communication between stakeholders, fast financial decision-making processes, establishment of pandemic-specific emergency rooms, more coordination between public and private health sectors, a national health care database, and a system for emergency classification in hospitals. This would help in ensuring that immediate measures are taken which are focused on the providing immediate care to patients.

Published
2024
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9. The Association between Free Radicals and the Ovarian Functions: A Review

Author

Sabea Khamees Abed, Husam Hadi Jasim, Mohammed Ali Shahooth, and Mustafa A. Saud

Subjects
Agriculture, Veterinary medicine, SF600-1100
Abstract

Metabolites of oxygen are called reactive oxygen species (ROS). They are constantly synthesized by healthy cells are a consequence of aerobic respiration and are necessary for proper cellular function. These species (ROS) cause oxidative stress as a result of generation exceeding the capabilities of the antioxidant system to neutralize it. It is a bifurcating factor in controlling the reproductive system of females, as it can influence various physiological activities or contribute to infertility in females. The current review notes that several ovarian function processes, including reactive oxygen species, have a major impact on follicular formation, ovulation, and corpus luteum function. Scavenging mechanisms also occur. However, the review concentrates on the detrimental impact that elevated ROS production has on the female reproductive system. This review concludes that free radicals play a variety of roles in ovarian function and that excess has negative effects on the female reproductive system.

Published
2024
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10. Predicting Reservoir or Non-Reservoir Formations by Calculating Permeability and Porosity in an Iraqi Oil Field

Author

Luay Ahmed Khamees, Farah Nabeel Abdulrazzaq, and Jasim Humadi

Subjects
effective porosity, identifying reservoir formations, permeability, southern iraq, yamama formation, Polymers and polymer manufacture, TP1080-1185, Chemical engineering, TP155-156
Abstract

This study is focused on identifying the formations, whether are they reservoir formations or not. The effective porosity and permeability evaluating of the oil reservoir is the most important methods to recognize the formations. In this study, the effective porosity and permeability of the Yamama formation in an oil field of southern Iraq can be calculated by applying, the neutron-density and the sonic logs. The calculated effective porosity of the formation ranged between (6% - 17%), and the porosity in the joints was less than (0.04). The permeability in Yamama Formation calculated by three methods: Timur, Morris Biggs oil, and Schlumberger methods. By comparing the values of the permeability calculated by these methods, it was found that the methods of Timor and Schlumberger gave the same results, and also when the permeability calculated by these methods compared with the permeability of the cores, the method of Timur and Schlumberger closer than the results of the cores. So, the Schlumberger and Timor method is the one used in calculating the permeability. The permeability values for most of Yamama formation range from: 0.1 -10 md, and the permeability in the joints was less than 0.001 md.

Published
2024
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12. VOXEL Video Streaming Over Wireless Networks

Author

Estabraq Makiyah and Nassr N. Khamees

Subjects
Streaming, Point cloud, volumetric video, compression, web service, http/2, Information technology, T58.5-58.64
Abstract

High-density point clouds expressing attractive 3D images are attracting attention. These gigantic media require large bandwidth allocations, making them problematic to stream to resource-constrained hand-held devices. This paper proposes a method for point cloud compression and streaming of large point clouds using a web server. Storing large point cloud videos on a web server allows users to publish data sets without using additional applications or sending large amounts of data ahead of time. HTTP/2 improves transfer efficiency by compressing headers into binary format and reduces latency by sending many multiplexed requests using a single TCP session. The large size of the point cloud data and the current limitations of wireless channels demand point cloud compression methods. MATLAB is used for the purpose of analysis, at results show an average compression ratio of 30:1. Our proposed system achieves lower average latency between successive frames resulting in an increased frame rate to 72.46 fps when streaming 4M points, and 82.51 fps in the case of streaming 800K points compared to much lower rates in conventional work.

Published
2024
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13. Influence of B, Si, Ge, and As impurities on the electronic properties of graphene quantum dot: A density functional theory study

Author

Salam K. Khamees, Fouad N. Ajeel, Kareem H. Mohsin, and Mohammed N. Mutier

Subjects
Graphene quantum dots, Metalloid impurities, DFT, Electronic properties, B3LYP, Technology
Abstract

The electronic features of chemically functionalized graphene quantum dots (GQDs) are investigated using density functional theory (DFT). The fabrication of nanoscale devices needs to enhance- the electronic performance of customized GQDs, which is crucial in many applications. GQDs can be used as a model with the molecule C24H12. We investigated the effects of adding metalloid impurities) boron B, silicon Si, germanium Ge, and arsenic As) on the structure and electronic properties of the dots at the B3LYP/6–31 level using the Gaussian 09 program package. The obtained results show efficient adding impurities B, Si, Ge, and As on the structure and electronic properties of GQDs, where it is noted that the energy gap change with -3.085, -12.340, -13.907, and -66.846 %, respectively.These results not only advance our knowledge of the mechanisms behind chemical doping, which may change the electronic features of quantum dots, but they also provide support for the development of nanodevices that have better electronic performance. As observed with As/GQD, it is anticipated that this system, which has the lowest possible chemical hardness values, will function as an effective corrosion inhibitor.

Published
2024
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14. Experimental Study of Punching Shear on Reinforced Concrete Waffle Slabs Strengthened by CFRP Sheets

Author

Ridha S. Khamees and Mohammed S. Abd Ali

Subjects
Waffle slab, CFRP Sheets, Reinforced concrete, Punching shear, Retrofitting, Engineering (General). Civil engineering (General), TA1-2040
Abstract

For the last five decades, researchers have been studying the punching shear of two-way reinforced slabs at column supports in structural testing laboratories. Limited tests are available on retrofitted waffle slab punching behavior. These are necessary since they establish a baseline against which punching shear design provisions can be created, calibrated, and evaluated. This work presents an experimental approach to investigate the punching shear of reinforced concrete waffle slabs strengthened with carbon fiber reinforced polymers (CFRP) sheets. Retrofitted waffle slabs were tested under concentric monotonic loading. A series of tests on construction materials were also conducted. The testing program was divided into two categories (IWS1 and IWS2), with a total of ten specimens: solid sections (275 × 275) and (515 × 515) mm, respectively. The IWS1 category consisted of eight slabs; one slab was without strengthening as a reference slab, and the remaining slabs were strengthened. While IWS2 consisted of only two slabs. However, the waffle slabs’ observed punching failure mechanism was like flat slabs. All waffle slabs were punctured in a sudden position. Research showed that the CFRP retrofitting process enhanced the ultimate punching shear performance by 47.1% and the initial cracking load by 67.02%, respectively. When the solid size regions were increased, the ultimate punching load increased by 41.5 %, and the initial cracking load increased by 40.8%, respectively. Significant enhancements were documented in the proposed retrofitting mechanism.

Published
2024
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15. Automatic Temperature Control System Using African vultures optimization algorithm

Author

Muntadher Khamees, Mostafa Abdulghafoor Mohammed, and Dina Hassan Abbas

Subjects
Temperature Control, Electronic computers. Computer science, QA75.5-76.95
Abstract

One of the most important tasks in control engineering is tuning a PID controller for maximum efficiency. However, without a great deal of practice, manual adjustment of PID settings might result in erroneous results. Using met heuristic algorithms is one method for tweaking the PID controller. These algorithms, which are inspired by the laws of nature, can effectively find the sweet spot for the PID settings. Therefore, instead of manually tweaking the PID controller, using met heuristic methods can greatly enhance the system's performance while decreasing the related expenses. A reliable temperature control system is crucial to the production of a wide variety of industrial goods. The fact that it uses less energy than rivals makes it a hot commodity. The console is the most effective way to monitor this procedure. The air conditioning in the room is managed by a whole new model built on metaheuristic algorithms. The temperature regulation is processed using a PID controller based on the AVOA algorithm. Overshot, settling, and rising times have all been shortened. along with other methods from the literature, such the Ziegler-Nichols and PSO Optimizer algorithm. Efficiency was evaluated in terms of percent overrun, reaction time, settling time, and steady state error. Integral Time Squared Error (ITSE), Integral Time Absolute Error (ITAE), Integral Absolute Error (IAE), and Integral Squared Error (ISE) are used to compare the empirical data.

Published
2024
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18. A New Synthesis of Copper Nanoparticles and Its Application as a Beta-Hematin Inhibitor

Author

Rana Abd Al-Aly Khamees Al-Refaia, Eman Alrikabi, Ahmed Ali Alkarimi, and Rafaela Vasiliadou

Subjects
beta-hematin, cunps, malaria, nanoparticles, Chemistry, QD1-999
Abstract

To prevent the development of drug resistance and unwanted side effects, nanomaterials have been studied for their potential to inhibit beta-hematin, an important protein for the survival of malaria parasites. The use of nanomaterials as a medication against parasites and mosquito vectors has recently shown promising drug therapeutic strategies. One of the newest areas of interest in nanotechnology and nanoscience is the environmentally friendly production of nanoparticles. Green synthesis to produce metal nanoparticles is the most important strategy to overcome the possible dangers of toxic chemicals for a safe and harmless environment. For this study, copper nanoparticles (CuNPs) were synthesized using Iraqi basil leaf extract, demonstrating its novelty in nanosciences. The formation of CuNPs can be seen visually as a color shift from green to brownish. UV-vis absorption spectra, Fourier transform infrared (FTIR), X-ray diffraction (XRD), energy dispersive X-ray (EDX), and scanning electron microscopy (SEM) were used to characterize the synthesized nanoparticles. The surface plasmon resonance property (SPR) of CuNPs is revealed by UV-vis analysis, which shows a distinctive absorption peak at 420–430 nm, whereas SEM reveals the spherical shape of CuNPs with sizes ranging from 30 to 50 nm.

Published
2024
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22. An Efficient Image Denoising Approach Using FPGA Type of PYNQ-Z2

Author

Wesam Hujab Saood and Khamees Khalaf Hasan

Subjects
Denoising, HWT, FPGA, Thresholding, Science
Abstract

Image denoising techniques have become crucial for computer-assisted analysis due to the increasing number of digital images captured in unfavorable conditions. In various fields such as image recognition, medical imaging, robotics, and facial expression analysis, the presence of noise poses significant challenges for denoising algorithms. One of the key difficulties is distinguishing between edges, textures, and noise, all of which contain high-frequency components. Haar Wavelet Transform (HWT) has emerged as a highly effective technique for image denoising. The proposed study focuses on two denoising methods: HWT and HWT-FPGA. Experimental evaluations are conducted to assess the denoising performance of the HWT model and the efficiency of its implementation on a Field-Programmable Gate Array (FPGA). Quantitative metrics, such as Peak Signal-to-Noise Ratio (PSNR) and Mean Square Error (MSE), are used to measure the denoising quality for ten test images of size 255x255 pixels. Additionally, computational metrics, including processing speed and resource utilization, are analyzed to evaluate the efficiency of the FPGA implementation. The research specifically supports PYNQ, an open-source framework that enables embedded programmers to explore the capabilities of Xilinx ZYNQ SoCs without the need for VHDL programming. In this context, the PYNQ-Z2 FPGA development board, based on the ZYNQ XC7Z020 FPGA, is chosen for the proposed system. The experimental results demonstrate that the HWT and HWT-FPGA approach significantly improve denoising performance compared to traditional methods. The denoised images exhibit higher PSNR values and low MSE scores, indicating better preservation of image details and similarity to the clean images. Furthermore, the FPGA implementation showcases remarkable computational efficiency, enabling real-time denoising capabilities while effectively utilizing FPGA resources.

Published
2024
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23. The prevalence of polypharmacy and hyper-polypharmacy among middle-aged vs. older patients in Saudi Arabia: a cross-sectional study

Author

Aymen A. Alqurain, Murtada Albaharnah, Samanah Al Zayer, Luma Ameer, Sherihan Ghosn, Samaher Al-Shaibi, Marwa Algoraini, Amal Aldhafeeri, Danah A. Alyusuf, Afnan Alshnbari, Nida Alsaffar, Jenan Al-Matouq, Mohammed Al Khamees, Bader AlAlwan, and Fadhel A. Alomar

Subjects
older patients, middle-aged patients, medical care unit, polypharmacy (MeSH), hyper-polypharmacy, Therapeutics. Pharmacology, RM1-950
Abstract

IntroductionPolypharmacy, the use of multiple medications, is a growing concern among middle-aged and older patients, posing potential risks and challenges in healthcare management.AimThis study aimed to identify the prevalence of polypharmacy and hyper-polypharmacy among populations of middle-aged vs. older patients and identify its associated common comorbidities and prescribed medications in Qatif Central Hospital (QCH), Saudi Arabia.MethodsPatients aged 40 years or older who presented to an outpatient medical care clinic at QCH, Saudi Arabia, between 1 January and 31 December 2021 were included, and their comorbidities, prescribed medications, and recent clinical laboratory test results were collected. The Charlson comorbidity index (CCI) score was calculated to predict the risk of mortality. Logistic regression was used to compute the association between the prevalence of polypharmacy and patient characteristics. The results were presented as odds ratios (ORs) and 95% confidence intervals (95% CIs).ResultsA total of 14,081 patients were included; 31% of the cohort comprised older patients, and 66% of the cohort was identified with polypharmacy. The majority of the polymedicated patients were presented to an internal medicine care unit (34%). The prevalence of polypharmacy was positively associated with CCI (OR = 3.4, 95% CI 3.3–3.6), having a disease related to the musculoskeletal system (MSD) (OR = 4.2, 95% CI 3.8–4.7), and alimentary tract and metabolism (ATM) (OR = 3.8, 95% CI 3.4–4.2). Conversely, the prevalence of polypharmacy was negatively associated with age (OR = 0.9, 95% CI 0.89–0.91) and patients with cardiovascular diseases (OR = 0.6, 95% CI 0.5–0.7).ConclusionPolypharmacy is still an ongoing concern. Patients, particularly those with diseases related to MSD or ATM, should be considered for reviewing prescriptions by pharmacists to reduce the risk of adverse drug reactions and future consequences of polypharmacy.

Published
2024
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24. Epidemiology and antimicrobial resistance of Mycobacterium spp. in the United Arab Emirates: a retrospective analysis of 12 years of national antimicrobial resistance surveillance data

Author

Jens Thomsen, Najiba M. Abdulrazzaq, Peter S. Nyasulu, Farida Al Hosani, Maya Habous, Stefan Weber, Fouzia Jabeen, The UAE AMR Surveillance Consortium, Godfred Antony Menezes, Carole Ayoub Moubareck, Abiola Senok, Dean B. Everett, Adnan Alatoom, Agnes Sonnevend-Pal, Ahmed Abdulkareem Al Hammadi, Ahmed Elhag Ahmed, Ahmed F. Yousef, Alaa MM Enshasy, Amal Mubarak Madhi, Amna AlBlooshi, Andreas Podbielski, Anju Nabi, Anup Shashikant Poddar, Arun Kumar Jha, Ayesha Abdulla Al Marzooqi, Bashir Aden, Dean Everett, Deeba Jafri, Duckjin Hong, Emmanuel Fru Nsutebu, Farah Ibrahim Al-Marzooq, Fatima Al Dhaheri, Francis Amirtharaj Selvaraj, Ghada Abdel Wahab, Ghalia Abdul Khader Khoder, Gitanjali Avishkar Patil, Godfred A. Menezes, Muhammad Ghulam Hadayatullah, Hafiz Ahmad, Hala Ahmed Fouad Ismail, Hazim Khalifa, Husein Alzabi, Ibrahim Alsayed Mustafa Alhashami, Imene Lazreg, Irfaan Akthar, John Stelling, Kaltham Ali Kayaf, Kavita Diddi, Krishnaprasad Ramabhadran, Laila Al Dabal, Laura Thomsen, Chamani-Tabriz Leili, Madikay Senghore, Manal Abdel Fattah Ahmed, Moeena Zain, M. Sheek-Hussein Mohamud, Monika Maheshwari, Mubarak Saif Alfaresi, Mushtaq Khan, Najiba Abdulrazzaq, Nehad Nabeel Al Shirawi, Nesrin Helmy, Pamela Fares Murad, Pascal Frey, Peter Nyasulu, Prashant Nasa, T. A. Patil Rajeshwari, Rania El Lababidi, Ratna A. Kurahatti, Riyaz Amirali Husain, Robert Lodu Serafino Wani Swaka, Saeed Hussein, Sameh Soliman, Savitha Mudalagiriyappa, Seema Oommen, Shaikha Ghannam Alkaabi, Simantini Jog, Siobhan O‘Sullivan,, Somansu Basu, Sura Khamees Majeed, Syed Irfan Hussein Rizvi, Tibor Pal, Timothy Anthony Collyns, Yassir Mohammed Eltahir Ali, Yousuf Mustafa Naqvi, Zahir Osman Babiker, and Omar Al Deesi Zulfa

Subjects
TB, tuberculosis, Mycobacterium tuberculosis surveillance, antibiotics, MDR-TB, antimicrobial-resistance, Public aspects of medicine, RA1-1270
Abstract

IntroductionThe Eastern Mediterranean Regional Office (EMRO) region accounts for almost 8% of all global Mycobacterium tuberculosis (TB) cases, with TB incidence rates ranging from 1 per 100,000 per year in the United Arab Emirates (UAE) to 204 per 100,000 in Djibouti. The national surveillance data from the Middle East and North Africa (MENA) region on the epidemiology and antimicrobial resistance trends of TB, including MDR-TB remains scarce.MethodsA retrospective 12-year analysis of N = 8,086 non-duplicate diagnostic Mycobacterium tuberculosis complex (MTB complex) isolates from the UAE was conducted. Data were generated through routine patient care during the 2010–2021 years, collected by trained personnel and reported by participating surveillance sites to the UAE National Antimicrobial Resistance (AMR) Surveillance program. Data analysis was conducted with WHONET, a windows-based microbiology laboratory database management software developed by the World Health Organization Collaborating Center for Surveillance of Antimicrobial Resistance, Boston, United States (https://whonet.org/).ResultsA total of 8,086 MTB-complex isolates were analyzed. MTB-complex was primarily isolated from respiratory samples (sputum 80.1%, broncho-alveolar lavage 4.6%, pleural fluid 4.1%). Inpatients accounted for 63.2%, including 1.3% from ICU. Nationality was known for 84.3% of patients, including 3.8% Emiratis. Of UAE non-nationals, 80.5% were from 110 countries, most of which were Asian countries. India accounted for 20.8%, Pakistan 13.6%, Philippines 12.7%, and Bangladesh 7.8%. Rifampicin-resistant MTB-complex isolates (RR-TB) were found in 2.8% of the isolates, resistance to isoniazid, streptomycin, pyrazinamide, and ethambutol, was 8.9, 6.9, 3.4 and 0.4%, respectively. A slightly increasing trend of resistance among MTB-complex was observed for rifampicin from 2.5% (2010) to 2.8% (2021).ConclusionInfections due to MTB-complex are relatively uncommon in the United Arab Emirates compared to other countries in the MENA region. Most TB patients in the UAE are of Asian origin, mainly from countries with a high prevalence of TB. Resistance to first line anti-tuberculous drugs is generally low, however increasing trends for MDR-TB mainly rifampicin linked resistance is a major concern. MDR-TB was not associated with a higher mortality, admission to ICU, or increased length of hospitalization as compared to non-MDR-TB.

Published
2024
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25. Evaluation the efficacy of NB-UVB treatment alone in comparison with combination therapy of NB-UVB and oral prednisolone in treatment of vitiligo

Author

Yasir Abdullah Khamees Mohammed Al-Sammarraie

Subjects
Vitiligo, NB-UVB, OMP, Prednisolone, Medicine
Abstract

Background: The treatment landscape for vitiligo has witnessed diverse approaches yielding variable outcomes. Objective: To discern the optimal approach in terms of both tolerability and efficacy by comparing Narrow Band Ultraviolet B (NB-UVB) phototherapy with adjunctive oral mini pulse (OMP) prednisolone tablets. Patients and Methods: A total of eighty-seven individuals with progressive vitiligo were enrolled in a one-year study, with participants allocated randomly across three study groups through a continuous selection method. Group 1 received a combination of NB-UVB and OMP prednisolone tablets, group 2 underwent NB-UVB treatment only, and group 3 received OMP prednisolone tablets alone. Clinical assessments were conducted at three- and six-month intervals, and statistical analyses were performed utilizing descriptive and bivariate techniques, including the chi-square test, to gauge the significance of differences between the various groups. Results: In Group 1 (NB-UVB + OMP), substantial improvement was observed in 41.4%, accompanied by moderate improvement in 44.8% of patients. Group 2 (NB-UVB) demonstrated marked improvement in 31.0% and moderate improvement in 38.0%. In Group 3 (OMP), a lower proportion experienced marked (13.8%) or moderate (3.4%) improvement. Chi-square test findings indicated that the combination of NB-UVB and OMP correlated significantly with marked and moderate improvement in contrast to OMP alone, with respective values of χ² = 6.434 (p = 0.001) and χ² = 7.831 (p = 0.015) after a six-month follow-up. Conclusion: Through a comprehensive evaluation of three treatment modalities in vitiligo patients, it was established that the sole application of oral mini pulse steroids (OMP) held an adjunctive value, lacking substantial efficacy on its own. Remarkably, the amalgamation of Narrow Band UVB and OMP presented a clear advantage over either treatment administered independently.

Published
2024
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26. Role of Cathepsin G in Rheumatoid Arthritis Diagnosis and Disease Activity Evaluation

Author

Mays Saleh Khamees and Raad Abdulameer Alasady

Subjects
Rheumatoid Arthritis (RA), Cathepsin G (CTSG), DAS-28 ESR, DAS-28 CRP, Disease activity, Medicine
Abstract

Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease that affects 1% of the world's population. It causes chronic inflammation of synovial tissue, leading to joint destruction, poor quality of life, and disability. Cathepsin G (CTSG), which acts as a proteolytic enzyme, can be a factor in RA. These proteases belong to the serine protease family and have a role in autoimmune disorders. They can cause bone and cartilage destruction and an immune response in cases of inflammatory arthritis. The objective of this study is to determine if CTSG could serve as a potential biomarker for the diagnosis and evaluation of the activity of RA. Methods: The study involved 132 patients with inflammatory arthritis, and their serum levels of CTSG and anti-citrullinated peptide antibody (ACPA) were measured using ELISA. Other routine biomarkers, including C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and rheumatoid factor (RF), were also measured. Results: The mean of CTSG was significantly lower in RA patients (110.53 pg/ml ± 49.959) than in those with other types of inflammatory arthritis (132.65 pg/ml ± 30.199). According to DAS-28 ESR and DAS-28 CRP, the study found no significant difference in CTSG levels across the four disease activity groups (P = 0.585, P = 0.823, respectively). Additionally, CTSG had a significant negative correlation with diabetes mellitus and treatment intake in newly diagnosed RA (P = 0.009, P = 0.041, respectively). This study is the first to evaluate CTSG as an RA diagnostic tool, showing a sensitivity of 70.1% and a specificity of 60.0% at a cut-off value of ≤133.33 pg/ml. Conclusions: The study results suggest that CTSG has potential as a diagnostic biomarker for RA when used alongside other clinical and laboratory criteria. However, it should not be solely relied upon for evaluating RA activity.

Published
2024
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27. VLSI Synthesis for Low-Power Clocking in Synchronous Designs

Author

Naseer Alwan Hussein, Maan Hameed, and Luay Ali Khamees

Subjects
ALU Circuit, Clock Gating Technique, Optimization of Parameters, Special industries and trades, HD9000-9999, Industrial engineering. Management engineering, T55.4-60.8
Abstract

In the field of information theory, the significance of low-power techniques cannot be overstated. Among these, clock gating stands out as a potent method to mitigate power dissipation in synchronous designs. The landscape has been further shaped by VLSI innovations, which, in their initial stages, necessitated substantial equipment, incurred high power consumption, and exhibited occasional unreliability. This paper explores the evolution from these challenges to a paradigm where advancements in VLSI technology have resulted in smaller, more affordable, reliable, and power-efficient systems. Focusing on the Arithmetic Logical Unit (ALU) design, our study presents a comparative analysis of power consumption across various existing clock gating techniques. Introducing an innovative signal clock gating method, we address contemporary challenges with an accessible mechanism, enhancing immunity. Our proposed Gated Clock Generation design, employing a tri-state connection and logic gate, demonstrates superior power savings, even when applied to the target module. This approach optimizes power efficiency in digital design while proving particularly effective in reducing dynamic power within logic circuits. Implementing an improved gate-based clock gating technique in ALU design, our results show a noteworthy reduction in clock delay (71% to 78%), a 23% improvement in area, and a substantial 66.67% enhancement in power efficiency. Notably, this clock gating scheme surpasses alternative methods in terms of area requirements. The experiments, exclusively conducted on ALU design, utilized 130 nm standard logic libraries for implementation. The design architecture was meticulously crafted using Verilog HDL, and simulations were executed with ModelSim-Altera 10.0c (Quartus II 11.1) Starter Version.

Published
2024
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28. Development of new effective activated carbon supported alkaline adsorbent used for removal phenolic compounds

Author

Jasim Humadi, Amer T. Nawaf, Luay Ahmed Khamees, Yasser A. Abd-Alhussain, Hussain F. Muhsin, Mustafa A. Ahmed, and Marwan M. Ahmed

Subjects
adsorption process, ac, koh, fbac, deactivation study, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Phenolic (phenol) compounds are the major contaminates in wastewater, which can have a considerable negative influence on the environment and health of human. Adsorption is an efficient process that is widely applied in order to eliminate phenol in wastewater. In recent, Adsorption process has acquired a lot of attentiveness owing to its relative moderate operating conditions. However, adsorption process needs considerable ameliorations in terms of adsorbent modification, process type, productivity, and conversion rate. This work studies the development of a fast and effective adsorption process in a fixed bed adsorption column (FBAC) in order to reach safe and continuous elimination of phenolic compounds. Several adsorption parameters (reaction temperature, adsorbent bed height, feed flow rate and kind of adsorbent) were studied to achieve the highest removal of phenolic compounds. The adsorption process was conducted in the presence of two type of adsorbents (activated carbon (AC), and KOH/AC), 73% and 94% of phenol elimination were attained, respectively, at 10 cm bed height, 1 ml/s feed flow rate, and 75 °C reaction temperature. The adsorbents activity was investigated after six consecutive adsorption cycles at the best process conditions, and the adsorbents show high stability in terms of phenolic compounds adsorption. After that, the spent adsorbents were regenerated by utilizing various solvents (methanol, ethanol and iso-octane), and the results show that iso- octane achieved highest regeneration efficiency. The adsorption process was implemented in the adsorption column that the performance is possibly to be adjusted at an industrial scale since it can be scaled up predictably.

Published
2023
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29. Clinical and biochemical determinants of length of stay, readmission and recurrence in patients admitted with diabetic ketoacidosis

Author

Fateen Ata, Adeel Ahmad Khan, Ibrahim Khamees, Phool Iqbal, Zohaib Yousaf, Bayan Z. M. Mohammed, Reham Aboshdid, Sandy K. K. Marzouk, Haidar Barjas, Madeha Khalid, Ihab El Madhoun, Mohammed Bashir, and Anand Kartha

Subjects
Diabetic ketoacidosis, DKA, type 1 diabetes, type 2 diabetes, length of stay, recurrence, Medicine
Abstract

Background The increasing prevalence of diabetic ketoacidosis (DKA) related admissions poses a significant burden on the healthcare systems globally. However, data regarding the predictors of healthcare resource utilization in DKA is limited and inconsistent. This study aimed to identify key predictors of hospital length of stay (LOS), readmission and recurrent DKA episodes.Methods We undertook a retrospective cross-sectional analysis of all DKA admissions from 2015 to 2021 across four hospitals in Qatar. The primary outcomes were the length of stay (LOS), 90-day readmission and 6-month and 1-year DKA recurrence.Results We included 922 patients with a median age of 35 years (25–45). 62% were males with type-1 diabetes-mellitus (T1DM) and type-2 DM (T2DM), present in 52% and 48% of patients. The median LOS was 2.6 days (IQR 1.1–4.8), and the median DKA resolution time was 18 h (10.5–29). Male-gender, new-onset DM, higher Charlson Comorbidity Index (CCI), lower haemoglobin, sodium and potassium, higher urea, longer DKA duration and MICU admission predicted a longer LOS in a multivariate regression analysis. None of the factors were significantly associated with 90-day readmission. Patients with pre-existing T1DM were more likely to have a six-month DKA recurrence than pre-existing T2DM. Patients with a 6-month DKA recurrence, female gender and T1DM had higher odds of 12-month recurrence, whereas a consult with a diabetes educator at the index admission was associated with decreased odds of recurrence.Conclusions/interpretation This is the most extensive study from the Middle-East region reporting on LOS, readmissions and the recurrence of DKA. Results from this study with a diverse population may be valuable for physicians and healthcare systems to decrease the diabetes-related healthcare burden in DKA patients.

Published
2023
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30. Factors associated with the prevalence of depression and anxiety among parents of children with neurodevelopmental disorders in Saudi Arabia

Author

Ali J. Alsaad, Mujtaba M. Al Khamees, Abdulelah N. Alkadi, Majd A. Alsaleh, Aeshah S. Alshairdah, and Zahra’a A. Alessa

Subjects
Neurodevelopmental disorders, Depression, Anxiety, Public aspects of medicine, RA1-1270
Abstract

Abstract Background Neurodevelopmental disorders (NDDs) are a group of conditions that include attention-deficit/hyperactivity disorders, specific learning disorders, autism spectrum disorder, intellectual disability, and other disorders. Raising a child with an NDD can be difficult because it affects the social lives of the parents and their relationships. It also requires the parents to develop another set of skills to deal with their child. These factors increase their risk of depression and anxiety. Aim To measure the prevalence rates of depression and anxiety among parents of children with different NDDs, compare the rates between mothers and fathers, and measure the relevant associated factors. Methodology This study was a prospective, qualitative, cross-sectional, anonymous questionnaire-based study. The participants were 416 parents of children with NDDs in Saudi Arabia. The sample size was determined using the Richard Geiger equation with a 5% margin of error, a 95% confidence level, and a 50% response distribution. The screening was performed using a validated Arabic version of the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7). These are short and understandable screening tools that assist in identifying and grading the severity of depression and anxiety symptoms. The participants were reached by distributing the questionnaire to parents who followed up with Saudi NDD-related associations, clinics, and psychiatric clinics from November 20 to May 8, 2022. The data were collected, reviewed, and then entered into SPSS 21. Results In total, 416 parents of children with NDDs in Saudi Arabia participated in the study. We demonstrated that 85.1% of parents of children with NDDs had depression and that 85.8% had anxiety. Mothers and fathers had similar rates of depression and anxiety. No significant difference was found between the type of NDD and rates of depression and anxiety in parents. Conclusion Children with NDDs affect their parents’ mental health in terms of increased rates of depression and anxiety. This increase is not correlated with a specific etiology. Healthcare professionals who care for children with NDDs should also assess parental mental health and seek an early diagnosis of mental illness to ensure that the appropriate interventions are provided for parents.

Published
2023
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32. 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. 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Carine, Uwakunda, Carine, Leal Ferrandis, Carla, Margiani, Carla, Piras, Carla, Samojeden, Carla, Vitiello, Carla, Feo, Carlo V., Bôto, Carlos, Roman Ortega, Carlos Fernando, Ferreras García, Carlos, Figueiredo, Carlos, García-Salas, Carlos, González, Carlos, González Baez, Carlos, Gracia-Roche, Carlos, Guijarro Moreno, Carlos, Hernandez Diaz, Carlos, Ferrero, Carlos Ignacio, Perez Rivera, Carlos J, Jezieniecki, Carlos, Pérez - Padrón, Carlos Josué, León-Espinoza, Carlos, Nuño-Guzmán, Carlos M., Macedo Cardoso De Oliveira, Carlos, Shiraishi Zapata, Carlos, Yanowsky-Gonzalez, Carlos, Sorrentino, Carmen, Tung, Carmen, Cardoso, Carolina, Chavarría Noya, Carolina, Coutinho, Carolina, Korzin, Carolina, Maya, Carolina, Moreno-Licea, Carolina, Panis, Carolina, Righetti, Carolina, Silva, Carolina, Soares-Aquino, Carolina, Golliez, Caroline, Chiam, Carolyn, Kamphues, Carsten, Rahantasoa Finaritra, Casimir Fp, Assis, Catarina, Henriques, Catarina, Quintela, Catarina, Rio Ferreira, Catarina, Rolo Santos, Catarina, Rodrigues, Catarina S., Allmer, Caterina, Bradshaw, Catherine Jane, Rukundo, Cédric, Seneza, Celestin, Raphael, Celine, Guldogan, Cem Emir, Bilir, Cemal, Hacıalioğlu, Cemal, Ersavas, Cenk, Özkan, Cenk, Huaroto Landeo, Cesar Fernando, Ginesta, Cesar, Infante, César, Pastás, César, Ciubotaru, Cezar, Narayan, Chanchal, Mahakalkar, Chandrashekhar, Floros, Charalampos, Demiri, Charikleia, Chatzinikolaou, Charito, Dempers, Charl, Ansah Larbi, Charles, Banka, Charles, Cini, Charles, Dally, Charles, Doku, Charles, Ntow-Boahen, Charles Kwaku, Nicholson Jr., Charles, Cornwell, Charlotte, Stennard, Charlotte, Lionel, Charre, Azmat, Chaudhary Ehtsham, Nyampinga, Chelsea, Tandup, Cherring, Agarwal, Chetan, Parmar, Chetan, Pun, Chetna, Un, Chi Wen, Baars, Chiara Anne, Celano, Chiara, Fumagalli, Chiara, Marafante, Chiara, Zandonella, Chiara, Nwanmah, Chibueze, Osuigwe, Chidimma, Nwokoro, Chigbundu, Nwosu, Chikaodili, Nwosu, Chimdiebele Daisy, Lim, Chin Kent, Ónyeka, Chinonso, Uche, Chisom, Jamieson-Grigg, Chloe, Ong, Chon Sum, Alphonse, Chris, Bode, Chris, Varghese, Chris, Carrillo Sarango, Christian, Esteo Verdu, Christian, Krautz, Christian, Mosca, Christian, Nimbona, Christian, Nikolaou, Christina, Wiesner, Christina, Kloppers, Christo, Kourouniotis, Christoforos, Seiler, Christoph, Knee, Christopha, Mpirimbanyi, Christophe, Aboah, Christopher, Amah, Christopher, Cheong, Christopher, Harmston, Christopher, Leung, Christopher, Seet, Christopher, Smart, Christopher, Chouliaras, Christos, Damaskos, Christos, Doudakmanis, Christos, Kaselas, Christos, Limas, Christos, Ntagkas, Christos, Papazacharias, Christos, Stefanou, Christos, Thrasyvoulou, Christos, Tsalikidis, Christos, Karagianni, Chrysanthi, Kolla, Chrysoula-Christina, Ugwunne, Chuka, Ilo, Chukwudi, Nwegbu, Chukwuemeka, Onwuzu, Chukwuka, Weadick, Ciara, De Martino, Ciro, Donohoe, Claire, Gutierrez De La Rosa, Clara Elena, Florián Villa, Clara Marcela, Petcu, Clara Teodora, Cecconi, Claudia, Banal, Claudine, Brandi, Claudio, Hossu, Claudiu, Onuoha, Clement, Osime, Clement, Shelton, Clifford, Fuentes Orozco, Clotilde, Adumah, Collins, Dina, Constantin, Nastos, Constantinos, Aguero, Coral, Markin, Coretta, Hoogerboord, Cornelis, Da Lio, Corrado, Saviello, Cosimo, Bezede, Cosmin, Distefano, Costanza, Elliot-Wilson, Courtney, Bokossa, Covalic, Lupercio Figueroa, Cristian Israel, Riboni, Cristiana, Meola, Cristiano, Costa, Cristina, Gas, Cristina, Larotonda, Cristina, Soddu, Cristina, Vacca, Cristina, Vera Mansilla, Cristina, Li, Crystal, Agbonrofo, Cynthia, Akli-Nartey, Cynthia, Molewa, Cynthia, Nelly Rosine, Cyuzuzo Ngwije, Rega, D., Koike, Daisuke, Wickramasinghe, Dakshitha, Clarke, Damian, Fry, Damian, Hannedige, Damsadie, Powell, Dan-Beck, Kasasbeh, Dana, Samardali, Dana, Sharl Ajami, Dani, Badran, Dania, Adjei, Daniel, Muhie, Daniel Ahmed, Pérez Muñoz, Daniel Alejandro, Alifoe, Daniel, Aparicio-López, Daniel, Baños Méndez, Daniel, Cristian, Daniel, Eaton, Daniel, Gero, Daniel, Makary, Daniel, Montwedi, Daniel, Muñoz, Daniel, Patterson, Daniel, Reim, Daniel, Agbley, Daniel Yao Dodzie, Patiño García, Daniela Cristina, Di Pietrantonio, Daniela, Pais, Daniela, Rosado, Daniela, Tavares, Daniela, Alberti, Daniele, Fusario, Daniele, Massaro, Daniele, Paglione, Daniele, Pironi, Daniele, Kurochka, Daniil, Centonze, Danilo Corrado, Hackner, Danilo, Herrera, Danilo, Amangaliyev, Daniyar, Silva-Cano, Danny Wladimir, Chaudhry, Daoud, Palmisano, Dario, Ribero, Dario, Vukosav, Dario, Misca, Darius, Lowen, Darren, Rattray, Darren, Walia, Darshanjit Singh, Maan, Darvesh, Muyenzi, Daryle, Verdi, Daunia, Bardsley, David, Reyes Rodríguez, David Estuardo, Fra Corral, David, Garcia López De Goicoechea, David, Gavit, David, Gómez, David, Idowu, David, Konkin, David, Labadah, David Kplorla Kekeli, Liu, David, Merlini, David, Mitchell, David, Moro-Valdezate, David, Osifo, David, Proud, David, Ridder, David, Gobatti, Davide, Muschitiello, Davide, Pertile, Davide, Zulian, Davide, Mengiste, Dawit, Mikami, Dean, Mohanty, Debajyoti, Chatterjee, Debarghya, Komolafe, Deborah Olaitan, Scotto Di Carlo, Deborah, Wright, Deborah, Rahme, Deema, Talreja, Deep Parkash, Jain, Deepak, Rajput, Deepak, Singh, Deepak, Anbu, Deepika, Ibrahim, Dena, Phom, Denchu, Hili, Denise, Osei, Dennis Broni, Daary, Dennis, Kyeremeh, Dennis, Shen, Dennis, Uymaz, Derya Salim, Cianflocca, Desiree, Ashitey, Desmond, Evripidou, Despo, Papageorgouli, Despoina, Kaushal, Devesh, Abeysirigunawardana, Dewmi, Dugar, Dharmendra, Mallik, Dhiraj, Ghosh, Dhruva, Houmran, Diaa, Abdulrahman, Diala, Pantoja Pachajoa, Diana Alejandra, Cardona Gomez, Diana Catalina, Fenner, Diana, Gonzalez, Diana Samantha, Siriwardena, Diana, Garcés Palacios, Diana Sofía, Stoian, Diana, Zuikyte, Diana, Sosa Méndez, Dianne Alitzá, Wickramarathna, Dickson, Mutter, Didier, Palma Portillo, Diego Andrés, Chavez Fernandez, Diego, Córdova García, Diego, Enjuto, Diego, Giulitti, Diego, Sasia, Diego, Visconti, Diego, Yiğit, Dilara, George, Dilip, Rabaia, Dima, Georgiev, Dimitar, Hadzhiev, Dimitar, Alexandrou, Dimitrios, Balalis, Dimitrios, Giakoustidis, Dimitrios, Manatakis, Dimitrios K., Korkolis, Dimitrios, Lytras, Dimitrios, Massaras, Dimitrios, Moris, Dimitrios, Politis, Dimitrios, Sampanis, Dimitrios, Schizas, Dimitrios, Tsiardas, Dimitrios, Vardakostas, Dimitrios, Kotsaris, Dimitris, Khattab, Dina Hesham, M. Awad, Dina, Alrokh, Dina Sami, Schippers, Dina, Waleed, Dina, Salinovic, Dinko, Gonçalves Múrias Gomes, Diogo Miguel, Silva, Diogo, Vaz Acosta, Diogo, Morton, Dion, Panagopoulos, Dionisios, Kelgiorgi, Dionysia, Dellaportas, Dionysios, Prevezanos, Dionysios, Joshi, Dipti, Ozal, Direm, Yigit, Direnc, Chimkaomasiri, Divine, Jabbar, Diya, Nepogodiev, Dmitri, Belekar, Dnyanesh, Abdalaziz, Doaa, Abunemer, Doaa, Attia, Doaa, Elkafrawy, Doaa, Dimitrov, Dobromir, Pignatelli, Domenica, Merlicco, Domenico, Soriero, Domenico, Zerbo, Domenico, Atouguia, Domingas, Fairbrass, Dominic, T. Enti, Donald, Venskutonis, Donatas, Rukavina, Dora, Caruso, Dorena, Herappe, Dorihela, Lee, Dorinda Norbetha, Ofosuhene, Doris, Hajela, Apoorva, Badwan, Basem, Kulkarni, Datta, Dhawan, Deep, Dhillon, Jeevanjit, Mehmood, Manzer, Mahmood, Namrah, Nikam, Narendra, Ramchandani, Radhakrishna, Thind, Ravinder Singh, Riazhussain, D Hafiz, Maqsood, Saliha, Alalawi, Yousef, Tyagi, Harshdeep, Kshirsagar, Shivani, Ahmed, Hisham, Juan Carlos, Luna Cydejko, Kone, Dramane, Omar, Duaa, Alves, Duarte Gil, Subasinghe, Duminda, Ommi, Durgesh, Joshiba, Durshney, Chakarov, Dzhevdet, Arkoh, Ebenezer Ameyaw, Frimpong-Manso, Ebenezer, Ada, Ece, Lincango, Eddy P., Lozada Hernandez, Edgard Efren, Hodžić, Edin, Di Marco, Edith, Baccalini, Edoardo Andrea, Baldini, Edoardo, González Marín, Eduardo, Gutierrez, Eduardo, Sepúlveda, Eduardo, Dainius, Edvinas, Zhang, Edward, Yenli, Edwin Mwintiereh Ta-Ang, Antoniou, Efstathios, Kapasakis, Efstathios, Baili, Efstratia, Poulios, Efthymios, Kubiliute, Egle, Osaze, Ehioghae, Afeikhena, Ehis, Elshennawy, Eiad, Athanasopoulou, Eirini, Synekidou, Eirini, Ekaladze, Eka, Tampaki, Ekaterini Christina, Adam, Elaf, Adel Hamdoun Aziz, Elaf, Yousuf, Elamin, Gialamas, Eleftherios, Spartalis, Eleftherios, Bedzhanyan, Elen, Toma, Elena Adelina, Daukšaitė, Elena, Desiato, Elena, Dvivedi, Elena, Hadzhieva, Elena, Martí Cuñat, Elena, Montalbán Martínez, Elena, Montanari, Elena, Signaroli, Elenasofia, Efremidou, Eleni, Gavriil, Eleni, Karakeke, Eleni, Mavrodimitraki, Eleni, Papamattheou, Eleni, Jose, Elenza, Cianci, Eleonora, Ciccioli, Eleonora, Daleva, Eleonora, Locci, Eleonora, Lori, Eleonora, Silanos, Eleonora, Ayala, Elí, Bankart, Eliana, Brolese, Eliane, Efstathiou, Elias, Salloum, Elias, Colak, Elif, Terzi, Elif Didem, Ametefe, Elikem, Cagigal Ortega, Elima Pilar, Donnarumma, Elio, Mina, Elisa, Reitano, Elisa, Wallner, Elisabeth, Moggia, Elisabetta, Betz, Elise, Kontis, Elissaios, Anestiadou, Elissavet, Gimson, Eliza, Lun, Elizabeth, Fraser, Elizabeth, Li, Elizabeth, Torres De Anda, Elizabeth Magaly, Murphy, Elizabeth Mary Ann, O'Connell, Elizabeth, Redondo, Elizabeth, Lun, Elizabeth Weng Yan, Francis, Ella, Haiden, Elmar, Hamed, Elmonzir, Alkhalifa, Elmustafa, Dexter, Eloise, Daketsey, Elorm, Setsoafia, Elorm, Mohamed, Elsagad, Mohammed, Elsamoual, Hegab, Elsayed, Ay, Elvin, Adinolfi, Elvira, Mbanzabugabo, Elvis, Chin, Elynn, Ahmed, Emad Ali, Younes, Eman, Basile, Emanuela, Gessa, Emanuela, Pontecorvi, Emanuele, Romairone, Emanuele, Hatangimana, Eméry, Ndizeye, Emile, Ciofic, Emilia, Dijan, Emilio, López-Negrete Cueto, Emilio, Baker, Emily, Reid, Emily, Schmidt, Emily, Alić, Emir, Bičakčić, Emir, Agbowada, Emma, Colton, Emma, Downing, Emma, Haege, Emma, O'Neill, Emma, Roussos, Emmanouel, Nachelleh, Emmanuel Aadereyir, Adebunmi, Emmanuel, Obiesie, Emmanuel Ahuizechukwu, Akakpo, Emmanuel Bismark, Konlan, Emmanuel Dammigu Francis, Nwangwu, Emmanuel Ifeanyi, Kafui Ayodeji, Emmanuel, Ofori, Emmanuel Owusu, Spanoudakis, Emmanuel, Abate, Emmanuele, Balik, Emre, Bozdağ, Emre, Bozkurt, Emre, Karabulut, Emre Cagri, Ozoran, Emre, Tunçcan, Emre, Tuzuner, Emre, Halilović, Emsad, Alabed, Enaam, Zidan, Enas, Hodžić, Enes, Aybar, Engin, Yildirim, Engin Okan, Wong, Enoch, Yhoshu, Enono, Bisogno, Enrica, Andolfi, Enrico, Ferri, Enrico, Potenza, Enrico, Spalice, Enrico, Volpin, Enrico, González, Enrique, Downes, Eoin, Gallo, Erdachew, Kamer, Erdinc, Naidoo, Eressa, Erginöz, Ergin, Bara, Eric, Irungu, Eric, García-Villegas, Eric Yusif, Mazzotta, Erica, Monati, Erica, Chan, Erick, Gómez Mejía, Erika, Dylja, Eris, Somuncu, Erkan, Yavuz, Erkan, Begunić, Ernes, Margelis, Ernest, Osei, Ernest Owusu, Saitoglou, Ertzan, Agastra, Ervis, Mazumdar, Eshan, Soyer Güldoğan, Esra, Abu Siam, Esra'A, Abdelbaset, Esraa, Abdu, Esraa, Adel Mahmod Sultan, Esraa, Nubi Mohamed, Esraa Gamal, Abuobaida Banaga Hag El Tayeb, Essam Eldien, Ali, Essraa, Page-Taylor, Estelle, Marra, Ester, Garcia Santos, Esther Pilar, Elsheikh, Ethar, Unal, Ethem, Tan, Eugene, De Leo, Eugenio, Borges, Eva, Gáspár, Éva, Ruiz-Daum, Eva, Apostolopoulos, Evaggelos, Samara, Evangelia, Barkolias, Evangelos, Fradelos, Evangelos, Hopping, Eve, Romo Ascencio, Evelia Veronica, Sosa Ferreira, Ever David, Shestakov, Evgenii, Tyurina, Evgenya, Hristova, Evguenia, Efthymiou, Evripidis, Tokidis, Evripidis, Harrison, Ewen, Dontoh, Ewurama Akroma, Mansour, Eyad, Yeshialem, Eyosiyas, Dabbagh, Ezeddin, Amer, Ezzeldin, Manasci, Fabiana, Gomes, Fabio, Medas, Fabio, d'Acapito, Fabrizio, Vassallo, Fabrizio, Haddad, Fadi, Elhabishi, Fadwa, Akhtar, Fahad, Tauheed, Fahad, Al Abbood, Fahd, Gareb, Fahed, Ghazali, Fairuz, Alnazawi, Faisal, Ondago, Faith, Rasoaherinomenjanahary, Fanjandrainy, Wiese, Fanny, González Ponce, Fanny Yesenia, Georgiades, Fanourios, Ali, Farah, Galley, Fareeda, Huda, Farhanul, Amir, Farhat Naaz, Ashraf, Fariha, Alfarsi, Faris, Ayasra, Faris, Ali, Farman, Mahmoud, Faten, Aliskander, Fater, Tahir Lwdie, Fathea, Buyuker, Fatih, Aguilar Del Castillo, Fátima, 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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Özata, ıbrahim Halil, Kandil, Ibrahim, Ahmed, Ibrahim Mutwakil Gamal, Tagreda, Ibrahim, Garzali, Ibrahim Umar, Nadi, Ibtihal, Ogundele, Ibukunolu, Pius Ogolekwu, Idoko, Shariff, Idriss, Jakaityte, Ieva, Abdullah, Ifra, Babajimi-Joseph, Igbagbolere, Guirguis, Ihab, Orji, Iheanyi, Okoro, Iheanyichukwu, Ahmed, Ihsan, Obianyo, Ijeoma, Njere, Ike, Ugwueke, Ikechukwu, Nzenwa, Ikemsinachi C, Zerrouq, Ikram, Clementi, Ilaria, Neri, Ilaria, Yavuz, Ilayda Esma, Hoxhaj, Ilda, Fakhradiyev, Ildar, R Fakhradiyev, Ildar, Gomatos, Ilias, Fidoshev, Iliya, Gouazar, Iltimass, Alnimer, Imad, Boudis, Imad Eddine, Boumakhlouf, Imad Eddine, Abdalla, Iman, Herrero, Imanol, Osman, Imoro, Nasser, Inas, Singh, Indra, P S, Induchoodan, Borges Da Costa, Inês, Colaço, Ines, Lourenço, Inês Mariana, Mogárrio, Inês, Königsrainer, Ingmar, Ahmed, Intezar, Hamdun, Intisar Hisham Said, Tanase, Ioan, Bokos, Ioannis, Contis, Ioannis, Demiris, Ioannis, Gerogiannis, Ioannis, Gogoulis, Ioannis, Karatsolis, Ioannis, Katsaros, 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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, Nikolaos, Memos, Nikolaos, Michalopoulos, Nikolaos, Mathioudakis, Nikolaos Nestor, Roukounakis, Nikolaos, Stamos, Nikolaos, Tasis, Nikolaos, Tsakiridis, Nikolaos, Vlachakos, Nikolaos, Zampitis, Nikolaos, Kouzakos, Nikolas, Börner, Nikolaus, Dimitriou, Nikoletta, Dafnios, Nikos, Banerjee, Niladri, Klammer, Nils, Maharjan, Nima, Rabai, Nimah, Oscar, Nimpaye, Harrison, Nina, Kheyrbek, Nina, Kansakar, Nirajan, Bhat, Nisar, Krishnappa, Nischal, Pahuja, Nisha, Paul Ambrose, Nitin, Renovat, Niyongabo, Musawa, Nizar, Nwanne, Njideka, Steve, Nkurunziza, Chidumije, Nnaemeka, Nwafulume, Nnaemeka, Celestine, Nnamani, Duru, Nnamdi, López Bernal, Noelia Esthela, Laquatra, Noemi, Pasqua, Noemi, Awwad, Noor Al-Deen, Ali, Nora, Hielscher, Nora, Trabulsi, Nora, Hüser, Norbert, Muñoz Montes, Norberto, Eshak, Norma-Sol, Rajab, Nosaiba, Lahnaoui, Nouhaila, Ouachou, Nouhaila, Ali, Nour, Dadoush, Nour, Fazili, Noureen, Theophile, Ntahompagaze, Ntanzi, Ntuthuko, Bibila, Nubia Samuel, Alwaer, Nuhay, Naabo, Nuhu, Jiagge, Nuna, Freitas Oliveira, Nuno Miguel, Pratas, Nuno, Morricone, Nunzia, Franco, Nunzio Francesco, Binti Yusri, Nur Aima, Ramli, Nur Natasya, Abd Ghani, Nur Suriyana, Umar, Nura, Aly, Nuran Khaled, Lakhanov, Nurgali, Al-Hroub, Nurhan, Kiziltoprak, Nurhilal, Chavarrias, Nuria, Maulenov, Nurlan, Akinbami, Nurudeen, Abdulraheem, Nurudeen Toyin, Karunaratne, Nuwanthika, Jeannette, Nyiransabiyera, Altobaishat, Obieda, Egwuonwu, Ochonma Amobi, Enciu, Octavian, Cohen-Arazi, Oded, Pheiffer, Odette, Okoye, Odili Aloysius, Omoike, Ofure, čančar, Ognjen, Ekwunife, Okechukwu Hyginus, Emuze, Okundayo, Eljizoly, Ola Abdallah, Al Hamdani, Ola, Emadeldeen, Ola, Morgan, Ola, Olajumoke, Oladapo, Popoola, Olakunle, Ajiboye, Olalekan, Olasehinde, Olalekan, Jolayemi, Olamide, Babatunde, Olanrewaju, Balogun, Olanrewaju, Olajide, Olawumi, Lisin, Oleg, Bellou, Olga, Jurić, Oliver, Ladlow, Oliver, Whitehurst, Oliver, Camilleri, Olivia, Montaño Angeles, Olivia, Pryer, Olivia, Ray, Olivia, Gabom, Olivier, Ndizeye, Olivier, Ojewuyi, Olufemi, Oluyemi, Olukayode, Elebute, Olumide, Ogunsua, Oluseyi, Fasiku, Olushola Kayode, Fasoro, Olusola, Fatudimu, Oluwafemi, Osunlusi, Oluwafemi, Owolanke, Oluwagbenga, Oso, Oluwarotimi, Alaba, Oluwaseun, Ojo, Oluwaseun, Oluseye, Oluwaseun, Oyinloye, Oluwaseun, Al Alyani, Omaima, Okrah, Omane, Agha, Omar, Al-Fahel, Omar, Almomani, Omar, Alruwaili, Omar, Ibarra, Omar, Ibrahim, Omar, Khalil, Omar, Kouli, Omar, Lima Azurdia, Omar, Mansour, Omar, Mohamed Mokbel, Omar, Omar, Omar, Bedak, Omer, Ozkan, Omer Faruk, Yalkın, Omer, Mohamed, Omnia, Ayandipo, Omobolaji, Faboya, Omolara, Williams, Omolara Modupe, Irowa, Omorodion, Attawodi, Onuche, Salako, Opeyemi, Ioannidis, Orestis, Agcaoglu, Orhan, Martin Sole, Oriol, Webster, Orla, Abouhiekal, Osama, Al Shaqran, Osama, Bahsas-Zaky, Osama, Nubi, Osama Gamal, Hany, Osama, Matar, Osama, Mahafdah, Osama R., Sarhan, Osama, Osagie, Osasumwen, Soublett Rivas, Óscar Alexander, Gülcicek, Osman Bilgin, Cuenca Torres, Osmar Manuel, Carpineto Samorani, Osvaldo, Arsalan, Othman, Coyoy-Gaitán, Otto, Nouhail, Oumaima, Boujidi, Oumama, Dicko, Ousmane A A, Ahmad, Owais, Christianah, Oyegbola, Küpçüoğlu, Özge, Zanbak Mutlu, Özgecan Pırıl, Chadha, P, Prabhu, P Santosh, Carmignani, Pablo, Arteaga Asensio, Pablo Cesar, Del Val Ruiz, Pablo, Royo Dachary, Pablo, Sancho Pardo, Pablo, Vásquez, Pablo, Sukhvibul, Pakkapol, Assouto, Pamphile, Evangelou, Panagiota, Dorovinis, Panagiotis, Kapsampelis, Panagiotis, Kokoropoulos, Panagiotis, Kostoglou, Panagiotis, Manikis, Panagiotis, Sakarellos, Panagiotis, Lykoudis, Panagis, Kumar, Pankaj, Patel, Panna, Paraskeva, Panoraia, Vassiliu, Panteleimon, Antonakis, Pantelis, De Nardi, Paola, Marongiu, Paola, Kamenova, Paolina, Venturelli, Paolina, Belotti, Paolo, Ubiali, Paolo, Grivas, Paraskevas, Stamopoulos, Paraskevas, Chatzikomnitsa, Paraskevi, Trakosari, Paraskevi, Tekam Wadje, Parfait Stéphane, Manjunath, Parikshith, Gupta, Pariza, Dhamija, Parth, Haque, Parvez, Haque, Parvez David, Haque, Parwez Waseemul, Nze Obiang, Pascal Christian, Probst, Pascal, Chiacchio, Pasquale, Cianci, Pasquale, Favoriti, Pasqualino, Koggoh, Patience, Bernardo, Patrícia, Omwansa, Patricia, Serrano Méndez, Patricia, Owens, Patrick, Tang, Patrick, Walker, Patrick, Chimezie Andrew, Paul, Trinity, Paul, Wilson, Paul, George, Paul Yohan, Artigot, Paula, Devlin, Paula, Vladova, Paulina, Cabrera Rivera, Paulo Andrés, Arunachalam, Pavai, Glushkov, Pavel, Levíček, Pavel, Lal, Pawanindra, Panahi, Pedram, David Santos, Pedro, Laranjo, Pedro, Palazon Bellver, Pedro, Rego Ponte, Pedro, Salas Núñez, Pedro, Sornoza, Pedro, Chloropoulou, Pelagia, Correia, Penélope, Limani, Perparim, Agbonrofo, Peter, Boateng, Peter Agyekum, Elemile, Peter, Francúz, Peter, Riedl, Peter, Tschann, Peter, Yuide, Peter, Hudáč, Petr, Ostruszka, Petr, Zimmermann, Petra, Nambala, Petrus, Shimbulu, Petrus, Thomas, Phebey A, Kumassah, Philemon, Alexander, Philip, Mensah, Philip, Taah-Amoako, Philip, Horvath, 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Published
2024
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33. Emergency Medicine Virtual Conference Participants’ Engagement with Competing Activities

Author

Khamees, Deena, Kropf, Charles William, Tomlinson, Sarah, Cranford, James A., Carney, Michele, Harvey, Carrie, Wolff, Meg, Haas, Mary R.C., and Hopson, Laura R.

Subjects
Resident Education
Abstract

Introduction: Residency didactic conferences transitioned to a virtual format during the COVID-19 pandemic. This format creates questions about effective educational practices, which depend on learner engagement. In this study we sought to characterize the competitive demands for learner attention during virtual didactics and to pilot methodology for future studies. Methods: This was a prospective, observational, cohort study of attendees at virtual didactics from a single emergency medicine residency, which employed a self-report strategy informed by validated classroom assessments of student engagement. We deployed an online, two-question survey  polling across six conference days using random signaled sampling. Participants reported all activities during the preceding five minutes. Results: There were 1303 responses over 40 survey deployments across six nonadjacent days. Respondents were residents (63.4%); faculty (27.5%); fellows (2.3%); students (2%); and others (4.8%). Across all responses, about 85% indicated engagement in the virtual conference within the last five minutes of the polls. The average number of activities engaged in was 2.0 (standard deviation = 1.1). Additional activities included education-related (34.2%), work-related (21.1%), social (18.8%), personal (14.6%), self-care (13.4%), and entertainment (4.4%).  Conclusion: Learners engage in a variety of activities during virtual didactics. Engagement appears to fluctuate temporally, which may inform teaching strategies. This information may also provide unique instructor feedback. This pilot study demonstrates methodology for future studies of conference engagement and learning outcomes.

Published
2022

34. Improving Student Documentation in the Emergency Department

Author

Brewer, Jonathan, Gohde, Emily, Doroshenko, Justin, Atkinson, Brooke, Lindsley, Joshua, Burke, Shannon, Goodcoff, Adaom, Khamees, Deena, Ledford, Matt, Kulstad, Christine, and McHugh, Mary

Abstract

Learning Objectives: Demonstrate a curriculum designed to teach medical students how to successfully write the medical decision making portion of the emergency medicine note.Introduction: Documentation is an essential component of patient care in the emergency department (ED). Although students are taught the general rules of note-writing prior to clerkships, the emergency medicine (EM) note differs from most rotations. There is a need to teach the specifics of documentation of the EM note to medical students. The Emergency Medicine Residents’ Association (EMRA) Education Committee created a curriculum to teach formal documentation to medical students.Educational Objective: Create a curriculum designed to teach medical students how to successfully write the medical decision making (MDM) portion of the EM note.Curricular Design: Our curriculum design assumes that all senior medical students were taught the basics of writing a history and physical. Therefore, we primarily focused on teaching the MDM portion of the EM note. Following IRB approval and consent from the 55 students in our study, each student filled out a survey about their previous experience with documentation in the ED (Image 1). Next, students watched a video of a complete simulated patient encounter in order to assess their baseline ability to document a formal MDM that included the ED course and disposition. These notes were then graded on a rubric (Image 2) by a resident physician at each site who was a member of the curriculum development team to ensure standardization. Students were then given access to the EMRA documentation template and video. After the educational intervention, students documented a new MDM based on a different video encounter and were graded again.Impact/Effectiveness: We found that a documentation curriculum significantly improved students’ MDM documentation. Repeated measures ANOVA revealed a strong effect on MDM Documentation scores [F(1, 38) = 72.547, p < .001, ηp2 = .656], demonstrating that MDM documentation statistically improved after the training curriculum and that implementation improves student documentation in the ED.

Published
2022

38. Differential evolution of diabetic ketoacidosis in adults with pre-existent versus newly diagnosed type 1 and type 2 diabetes mellitus

Author

Fateen Ata, Adeel Ahmad Khan, Ibrahim Khamees, Baian Z. M. Mohammed, Haidar Hussein Barjas, Bassam Muthanna, Mohammed Bashir, and Anand Kartha

Subjects
Diabetic ketoacidosis, DKA, Type 1 Diabetes, Type 2 Diabetes, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Abstract Background Diabetic ketoacidosis (DKA) was once known to be specific to type-1 diabetes-mellitus (T1D); however, many cases are now seen in patients with type-2 diabetes-mellitus (T2D). Little is known about how this etiology shift affects DKA's outcomes. Methods We studied consecutive index DKA admissions from January 2015 to March 2021. Descriptive analyses were performed based on pre-existing T1D and T2D (PT1D and PT2D, respectively) and newly diagnosed T1D and T2D (NT1D and NT2D, respectively). Results Of the 922 patients, 480 (52%) had T1D, of which 69% had PT1D and 31% NT1D, whereas 442 (48%) had T2D, of which 60% had PT2D and 40% NT2D. The mean age was highest in PT2D (47.6 ± 13.1 years) and lowest in PT1D (27.3 ± 0.5 years) (P

Published
2023
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39. Human monkeypox virus in the shadow of the COVID-19 pandemic

Author

Almu’atasim Khamees, Sajeda Awadi, Khayry Al-Shami, Hayat Abu Alkhoun, Sharaf F. Al-Eitan, Ahmad Malek Alsheikh, Ahmad Saeed, Raed M. Al-Zoubi, and Mazhar Salim Al Zoubi

Subjects
Mpox, Smallpox, COVID-19, Outbreak, Infectious diseases, Infectious and parasitic diseases, RC109-216, Public aspects of medicine, RA1-1270
Abstract

Background: The end of smallpox in 1980 and the subsequent stopping of vaccination against smallpox was followed by the emergence of monkeypox (mpox), a viral disease of animal origin, meaning that it is transmitted from animal to human. The symptoms of mpox are similar to smallpox, except that they are less severe in terms of clinical features. In the case of public health, the mpox virus is one of the most important orthopoxviruses (such as variola, cowpox, and vaccinia) that come from the family Poxviridae. Mpox occurs mostly in central Africa and sometimes in tropical rainforests or some urban areas. Also, there are threats other than COVID-19, that must be addressed and prevented from spreading, as there has been an outbreak of mpox cases since May 7, 2022, throughout the USA, Europe, Australia, and part of Africa. Objectives: In this review, we will discuss mpox between the past, the present and during the COVID-19 pandemic. Also, it offers an updated summary of the taxonomy, etiology, transmission, and epidemiology of mpox illness. In addition, the current review aims to highlight the importance of emerging pandemics in the same era such as mpox and COVID-19. Methods: A literature search was done for the study using online sources like PubMed and Google Scholar. Publications in English were included. Data for study variables were extracted. After the duplicate articles were eliminated, full-text screening was performed on the papers' titles and abstracts. Results: The evaluation included a series documenting mpox virus outbreaks, and both prospective and retrospectiveinvestigations. Conclusions: monkeypox is a viral disease caused by the monkeypox virus (MPXV), which is primarily found in central and western Africa. The disease is transmitted from animals to humans and presents symptoms similar to those of smallpox, including fever, headache, muscle aches, and a rash. Monkeypox can lead to complications such as secondary integument infection, bronchopneumonia, sepsis, and encephalitis, as well as corneal infection that can result in blindness. There is no specific clinically proven treatment for monkeypox, and treatment is primarily supportive. However, antiviral drugs and vaccines are available for cross-protection against the virus, and strict infection control measures and vaccination of close contacts of affected individuals can help prevent and control outbreaks.

Published
2023
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40. Synthesis of ZnO Nanoparticle and Utilized as a Drug Carrier to Treat Leukemia

Author

Areej Ali Jarullah, Nidhal Meteab Khamees, and Taghreed Mohy Al-Deen Musa

Subjects
zinc(ii)complex, zno nanoparticles, carrier for anti-cancer drugs, leukemia, microscopic analysis, Chemistry, QD1-999
Abstract

This study includes two parts, and the first was the preparation of the Zn(II)complex by reacting N-[4-(5-{(Z)-[(5-oxo-2-sulfanyl-4,5-dihydro-1H-imidazol-1-yl)imino]methyl}furan-2-yl)phenyl]acetamide with ZnCl2. The complex was characterized by using microscopic analysis such as UV-Vis spectrum, LC-MS, FTIR spectrophotometer, measurements of conductivity, magnetic susceptibility, and atomic absorption. The second part was the preparation of the ZnO nanoparticles by dissolving the Zn(II) complex in HNO3 and HCl and its use as a drug transporter to treat leukemia. FSEM, TEM, and XRD were examined for the characterization of ZnO nanoparticles that will be used in the synthesis of most medicines and drugs in the future.

Published
2023
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41. Effect of vitamin D deficiency on postorthodontic relapse: An animal study

Author

Asmaa M. Khamees and Dheaa H. Al Groosh

Subjects
orthodontic, relapse, vitamin D, Dentistry, RK1-715
Abstract

Abstract Objectives This study aims to evaluate the effect of vitamin D deficiency (VDD) on orthodontic tooth movement (OTM), retention, and relapse and to assess the effect of systemic administration of vitamin D (VD) in a rat model. Materials and Methods A total of 32 male Wistar rats were divided into two groups, a control group of 11 rats and an experimental group of 21 rats with VDD, after enhancement using a custom diet. Of the VDD group, 11 rats were supplemented with systemic vitamin D3 and categorized as vitamin (VD supplement [VDS]) groups. The VDS group received 40,000 IU/kg via intramuscular injection on Days 1 and 15 of the orthodontic treatment period. A modified orthodontic appliance was fitted to apply 0.5 N of force to move the maxillary right first molars mesially for 14 days, followed by retention and relapse periods for 7 days. Space created during OTM was measured and reassessed after the retention and relapse periods. The relapse ratio was estimated, and histomorphometric analysis was performed to assess the number of osteoblasts, osteoclast bone cells, and bone area. Results A significant increase in the relapse ratio and a reduction in osteoblast cells and bone area were observed in the VDD group. By contrast, the amount of tooth movement was significantly higher together with osteoblast cells and bone marrow in VDS with a significant reduction in relapse ratio. Conclusion VDD was associated with a significant reduction in osteoblast cell count and total bone area in addition to a significant increase in relapse ratio. Routine screening of VD may be beneficial before commencing orthodontic treatment.

Published
2023
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42. Metformin versus levonorgestrel-releasing intrauterine system in the management of endometrial hyperplasia: a randomized clinical trial

Author

Omima T. Taha, Mohammed M. Abd-Elgelil, Eman A. Kishk, Mohammed Shaaban, and Rasha E. Khamees

Subjects
Endometrial hyperplasia, Levonorgestrel- intrauterine system, Metformin, Medicine (General), R5-920, Reproduction, QH471-489
Abstract

Abstract Background Endometrial hyperplasia is one of the common causes of bleeding in perimenopausal women. Variable treatment options aim to induce regression. The current study evaluated the regression rate of endometrial hyperplasia after treatment with levonorgestrel intrauterine system (LNG- IUS) versus Metformin. Methods This randomized clinical trial was conducted at the obstetrics and gynecology department of Suez Canal University hospital. We recruited women diagnosed with endometrial hyperplasia without atypia. Patients were allocated into two groups. Group one included patients treated with levonorgestrel-releasing intrauterine system and group two treated with Metformin. The rate of regression of hyperplasia in both groups after six months of intervention was the main outcome measure. Results Significant regression of hyperplasia was noted in the LNG-IUS group (96% versus 64%, p-value 0.009). There was a significant decrease in the endometrial thickness after treatment in both groups (17.65 ± 4.62 and 5.3 ± 2.01 in the LNG- IUS with a p-value

Published
2023
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43. Approximate Local Search Methods for Multi-objective Sequencing Problem

Author

Adawiya A. Mahmood Al-Nuaimi and Seenaa J. Khamees

Subjects
Local search, multi-objective, sequencing, genetic algorithm, Science
Abstract

In the setting of a single machine, this study suggests approximation local search strategies to identify approximate solutions to the multi-objective sequencing problem, where the problem is the total of the four objectives: total completion time ∑Cj j= 1,….,n, total lateness ∑Lj, maximum lateness Lmax and maximum earliness Emax. Descent Method (DM), Simulated Annealing (SA), and genetic algorithm (GA) are three approximate local search techniques that are computer-implemented Matlab programs. On the basis of the outcomes of computing tests, conclusions are modeled on the effectiveness of the local search techniques.

Published
2024
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45. Development of AVR controller performance using exponential distribution and transit search optimization techniques

Author

Mohamed S. Amin, Mahmoud A. Attia, Amr K. Khamees, S. F. Mekhamer, Hossam Kotb, Kareem M. AboRas, and Amr Yousef

Subjects
proportional integral derivative controller, automatic voltage regulator, exponential distribution optimization algorithm, transit search optimization algorithm, optimiation problem, General Works
Abstract

This paper attempts to obtain the optimal solution to enhance the performance of the Automatic Voltage Regulator (AVR) Controller, as it is an essential tool to control the synchronous generator output voltage. The controller improves AVR system stability and response time; moreover, it is demonstrated that the Proportional Integral Derivative (PID) controller achieves the goal by applying two artificial intelligence techniques to design the optimal values of the Automatic Voltage Regulator (AVR) PID controller for a single area model. The first is the Exponential Distribution Optimization Algorithm (EDO), and the second is the Transit Search Optimization Algorithm (TS). EDO and TS are used to determine the best PID controller parameters and have also recently been developed in the breadth of optimization problems and associated computational complexities field. The objective function, Integrated Square Error (ISE), minimizes the error voltage for improved stability and response. The outcomes are compared to various optimization techniques to prove the validation of the two proposed methods. The results show that the EDO and TS proved their superiority through their stability level to the AVR system and their steady-state error improvement. Moreover, the dominant effect of damping frequency decreases the oscillation and the reduced maximum overshoot that protects the loads from being subjected to non-permissible over-voltage levels. Finally, a robustness test is applied to the two proposed optimization methods to prove their reliability and effectiveness.

Published
2024
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46. معوقات تحقيق فلسفة التعليم المنزلي في المدرسة الابتدائية من وجهة نظر المعلمين

Author

Dr. Saleh Norain *Ibrahim and Khamees Saleh **Al-Zahrani

Subjects
معوقات تعليمية, معوقات بشرية, التعليم المنزلي, المدرسة الابتدائية, Psychology, BF1-990, Special aspects of education, LC8-6691
Abstract

هدفت الدراسة إلى التعرف على معوقات تحقيق فلسفة التعليم المنزلي في المدرسة الابتدائية من وجهة نظر المعلمين ، والكشف عن الفروق الدالة احصائياً بين آراء أفراد العينة، وتكونت عينة الدراسة من (250) معلماً ، باستخدام المنهج الوصفي التحليلي، وتمثلت أداة الدراسة في استبانة مكونة من (21) فقرة، موزعة على مجالين هي: (المعوقات التعليمية، والمعوقات البشرية)، وأظهرت النتائج أن المعوقات التعليمية جاءت بدرجة كبيرة، ً، كما أظهرت النتائج أن المعوقات البشرية جاءت بدرجة كبيرة جداً، كما أظهرت النتائج وجود فروق دالة احصائياً في الدرجة الكلية على الاستبانة ولمجالاتها ( المعوقات التعليمية والمعوقات البشرية ) تعزى للنوع ولصالح الذكور ، وأوصت الدراسة بأن يعمل المعلم بإشراك الطلاب باختيار الاستراتيجيات التي تشبع حاجاتهم، وبأن يربط مخططي المناهج بين المعوقات التعليمية والبشرية في المدرسة الابتدائية إيجاد حلول لهذه المعوقات، وتنظيم ندوات علمية تعالج المعوقات التي تواجه المعلمين.

Published
2024
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47. A systematic review of literature on Insulin‐like growth factor‐2‐mediated hypoglycaemia in non‐islet cell tumours

Author

Fateen Ata, Hassan Choudry, Adeel Ahmad Khan, Anum, Ibrahim Khamees, Anas Al‐sadi, Abdelaziz Mohamed, Lujain Malkawi, and Esra'a Aljaloudi

Subjects
hypoglycaemia, IGF 2, IGF II, insulin‐like growth factor‐2, NICTH, non‐insulin mediated hypoglycaemia, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Abstract Introduction Insulin‐like growth factor‐2 (IGF‐2)‐mediated hypoglycemia is a rare yet clinically significant entity with considerable morbidity and mortality. Existing literature is limited and fails to offer a comprehensive understanding of its clinical trajectory, management and prognostication. Methods Systematic review of English‐language articles reporting primary patient data on IMH was searched using electronic databases (PubMed, Scopus and Embase) from any date up to 21 December 2022. Data were analysed in STATA‐16. Results The systematic review contains 172 studies, including 1 Randomised controlled trial, 1 prospective observational study, 5 retrospective observational studies, 150 case reports, 11 case series and 4 conference abstracts. A total of 233 patients were analysed, averaging 60.6 ± 17.1 years in age, with comparable proportions of males and females. The commonest tumours associated with Insulin‐like Growth Factor‐2‐mediated hypoglycaemia were fibrous tumours (N = 124, 53.2%), followed by non‐fibrous tumours originating from the liver (N = 21, 9%), hemangiopericytomas (N = 20, 8.5%) and mesotheliomas (N = 11, 4.7%). Hypoglycaemia was the presenting feature of NICT in 42% of cases. Predominant clinical features included loss of consciousness (26.7%) and confusion (21%). The mean IGF‐2 and IGF‐1 levels were 882.3 ± 630.6 ng/dL and 41.8 ± 47.8, respectively, with no significant correlation between these levels and patient outcomes. Surgical removal was the most employed treatment modality (47.2%), followed by medication therapy. The recovery rate was 77%, with chronic liver disease (CLD) significantly associated with a poor outcome (OR: 7.23, P: 0.03). Tumours originating from fibrous tissues were significantly associated with recovery (p

Published
2024
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