1,614 results on '"Ahmed, L"'
Search Results
2. Genetic implications of PSMA expression variability in breast cancer subtypes with a focus on triple-negative breast cancer
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Shahid, Mudassar, Alaofi, Ahmed L., Alqahtani, Mohammed S., and Syed, Rabbani
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- 2024
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3. Simulation of enhancement techniques impact on fluid dynamics and thermal mixing of laminar forced convection flow
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Kenniche, Salem, Aidaoui, Lakhdar, Lasbet, Yahia, Boukhalkhal, Ahmed L., and Loubar, Khaled
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- 2024
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4. In vitro Evaluation of the Antimicrobial Effect of Common UAE Natural Herbals on Different Gram-positive and Gram-negative Bacteria
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Ahmed L. Osman, Praveen Kumar Kandakurti, Alaa A. Mahmoud, Fadak Y. Ahmed, Ibtisam J. Azzam, Shuroq A. Yahya, and Devapriya Finney Shadroch
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uae natural herbals ,gram-negative and gram-positive organisms ,antimicrobial effect ,agar diffusion assay ,Microbiology ,QR1-502 - Abstract
The main goal of this research is to assess the antibacterial effectiveness of commonly used UAE natural herbs, including Turmeric, Henna, Sidr, and Myrrh, against a range of bacteria such as Staphylococcus aureus, Streptococcus agalactiae (group B streptococci), Streptococcus pyogenes (group A streptococci), Escherichia coli, Enterococcus faecalis, Proteus mirabilis, Pseudomonas aeruginosa, and Klebsiella pneumoniae. Agar diffusion technique was utilized in this study. The herbs were extracted and prepared in serial dilution, a standardized amount of the test microorganisms were inoculated on the agar plates. Subsequently, extracted herbs were placed in the wells that formed on the surface of the media. The agar plates are then incubated at 37°C under appropriate condition. Typically, the herbs extract diffuses in the media, inhibiting the germination of the bacteria, the zone of inhibition is subsequently measured. Significant inhibitory effects were observed with henna herbal extract against 75% of Gram-positive bacteria, while 25% of the bacteria showed inhibition when using sidr extract. Myrrh exhibited an antibacterial effect against most tested bacteria. Comparatively less of an impact was seen by turmeric extract on both Gram-negative and Gram-positive. The antibacterial efficacy of the four plant extracts suggests that Henna displayed the highest effectiveness, followed by Sidr and Myrrh, with Turmeric showing the least potency. Additionally, strains such as E. coli, E. faecalis, P. aeruginosa, K. pneumoniae, and P. mirabilis demonstrated resistance to the plant extracts, while S. aureus, S. pyogenes, and S. agalactiae appeared to be the most susceptible strains. These findings underscore the potential of plant extracts in treating bacterial infections, offering insights for the development of novel compounds with enhanced activity against both resistant and susceptible bacteria, thereby addressing the limitations of current antibiotic agents.
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- 2024
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5. Separation of microalgae from bacterial contaminants using spiral microchannel in the presence of a chemoattractant
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Ngum, Leticia F., Matsushita, Y., El-Mashtoly, Samir F., Fath El-Bab, Ahmed M. R., and Abdel-Mawgood, Ahmed L
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- 2024
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6. Analysis and Detection of Political Fake News Using Deep Learning with High-Performance Hybrid Model
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Alsaedi, Ahmed H., Aladhamı, Abdulrahman Abdulwahab Kaml, Alwhelat, Almuntadher Mahmood, Alshamı, Ahmed L., Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Tavares, João Manuel R. S., editor, Pal, Souvik, editor, Gerogiannis, Vassilis C., editor, and Hung, Bui Thanh, editor
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- 2024
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7. Separation of microalgae from bacterial contaminants using spiral microchannel in the presence of a chemoattractant
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Leticia F. Ngum, Y. Matsushita, Samir F. El-Mashtoly, Ahmed M. R. Fath El-Bab, and Ahmed L Abdel-Mawgood
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W-shaped cross-section ,CO2 laser ablation ,Glycine ,Separation efficiency ,Removal ratio ,Technology ,Chemical technology ,TP1-1185 ,Biotechnology ,TP248.13-248.65 - Abstract
Abstract Cell separation using microfluidics has become an effective method to isolate biological contaminants from bodily fluids and cell cultures, such as isolating bacteria contaminants from microalgae cultures and isolating bacteria contaminants from white blood cells. In this study, bacterial cells were used as a model contaminant in microalgae culture in a passive microfluidics device, which relies on hydrodynamic forces to demonstrate the separation of microalgae from bacteria contaminants in U and W-shaped cross-section spiral microchannel fabricated by defocusing CO2 laser ablation. At a flow rate of 0.7 ml/min in the presence of glycine as bacteria chemoattractant, the spiral microfluidics devices with U and W-shaped cross-sections were able to isolate microalgae (Desmodesmus sp.) from bacteria (E. coli) with a high separation efficiency of 92% and 96% respectively. At the same flow rate, in the absence of glycine, the separation efficiency of microalgae for U- and W-shaped cross-sections was 91% and 96%, respectively. It was found that the spiral microchannel device with a W-shaped cross-section with a barrier in the center of the channel showed significantly higher separation efficiency. Spiral microchannel chips with U- or W-shaped cross-sections were easy to fabricate and exhibited high throughput. With these advantages, these devices could be widely applicable to other cell separation applications, such as separating circulating tumor cells from blood. Graphical Abstract
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- 2024
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8. Role of ACE2 and TMPRSS2 polymorphisms in clinical severity and outcomes of COVID-19 in Egypt
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Walaa Samy, Osama A. Gaber, Rania M. Amer, Nahawand A. El-Deeb, Ahmed A. Abdelmoaty, Ahmed L. Sharaf, Ahmed M. El-Gebaly, Rasha Mosbah, Maha E. Alsadik, Amal Fawzy, and Alshymaa A. Ahmed
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ace2 gene ,tmprss2 gene ,single nucleotide polymorphisms ,covid-19 ,severity ,outcome ,Public aspects of medicine ,RA1-1270 ,Medicine (General) ,R5-920 - Abstract
Background: The clinical presentations of coronavirus disease 2019 (COVID-19) exhibit significant variation, ranging from asymptomatic cases to mortality resulting from severe pneumonia. Host genetics can partially explain this variation. Objective: This study evaluated possible associations between severity and outcome of COVID-19 and single nucleotide polymorphism (SNP) rs2285666 in the ACE2 gene and SNP rs2070788 in the TMPRSS2 gene. Methods: The study included a sample of 100 consecutive adult patients admitted to the COVID-19 Isolation and Intensive Care Units of the Zagazig University Hospitals, Zagazig, Egypt from July 2021 to November 2021. For rs2285666, polymerase chain reaction-restriction fragment length polymorphism was carried out. For rs2070788, real-time polymerase chain reaction was performed. Results: For rs2285666, the GA genotype was the most frequent among female patients (39% [16/41]) and the A genotype was more prevalent among male patients (54.2% [32/59]). For rs2070788, the AA genotype was the most frequent among all patients (46% [46/100]). No rs2285666 or rs2070788 genotypes or allele frequencies had significant associations with either severity or outcomes of patients. Conclusion: This study found no significant associations of COVID-19 severity or outcomes of patients with genotypes or allele frequencies of the rs2285666 SNP in the ACE2 gene or the rs2070788 SNP of the TMPRSS2 gene. The search for other genetic associations with COVID-19 infection is still required. What this study adds: The study reveals that host genetics explain the variation observed in the disease. Specific genetic variants can confer either increased susceptibility or resistance to the disease.
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- 2024
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9. Crop Management System
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Ahmed, L. Jubair, primary, Dhanasekar, S., additional, Govindaraj, V., additional, and Ezhilazhagan, C., additional
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- 2023
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10. A study using a semi-analytical approach to the reaction kinetics that describes the behavior of heterogeneous reaction–diffusion process with a glyoxyl-agarose immobilized enzyme (penicillin G acylase) in a batch reactor
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Niyaz Ahmed, L. and T, Praveen
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- 2024
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11. The Association of Prolactin and CRP Biomarkers with the Severity of COVID-19 in Thumbay Hospital, Ajman, UAE
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Aisha Abdulkrim Nur, Ahmed L. Osman, Praveen Kumar Kandakurti, Ayman H. Alfeel, Marwan Ismail, Asaad Ma. Babker, and Abdelgdair A. Altoum
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covid-19 ,prolactin ,c-reactive protein ,Medicine - Abstract
Background: This study aimed to estimate the levels of CRP and PRL in SARS-CoV2 infection and their association with the severity of COVID-19 among patients in Ajman, UAE. Methods and Results: This cross-sectional study was conducted in Thumpay Hospital from 2020 to 2021. The study included 71 patients (55 males and 16 females) with positive SARS-CoV-2 test results. Nasal swab specimens were collected for the COVID-19 test on the day of admission or after one day of admission. COVID-19 diagnoses and severity levels were determined according to the New Coronavirus Pneumonia Prevention and Control Program (7th edition) published by the National Health Commission of China (2020). Serum samples were collected from the patients upon admission. The PRL level was determined using the immune chemiluminescent method by the DXI 800 Beckman Coulter analyzer. The CRP level was determined using the immunoturbidimetric method by the DXC 700 AU chemistry analyzer. Among 71 COVID-19 patients, the great majority were men 55(77.5%), 38(53.5%) being of Indian nationality. In this study, most participants (50.7%) had no history of chronic illnesses. In terms of COVID-19 severity, 24(33.8%) of patients had mild cases, 27(38.0%) had moderate cases, and 20(28.2%) had severe cases. Twenty (28.2%) patients were transferred to the ICU, and 19(26.8%) were intubated. The patients' average age was 47.58±13.63, CRP level - 74.30±71.46 mg/L, and PRL level - 205.1946±168.52 ng/mL. The mean CRP level was highest in severe cases, compared to mild and moderate cases, with a statistically significant difference between mild and severe groups (P=0.000) and mild and moderate groups (P=0.004). The mean PRL level was highest in severe cases compared to mild and moderate cases; however, the differences between the groups were not significant. CRP and PRL levels were greater in the ICU patients than non-ICU patients, with statistically significant differences only for CRP. We found a moderate positive correlation between CRP level and age (r=0.458, P=0.000); a weak positive correlation between PRL level and age was not statistically significant (r=0.201, P=0.093). A moderate positive correlation between CRP level and PRL level (r=0.461, P=0.03) was statistically significant. Conclusion: The current study implies that serum CRP levels might be an important indication of COVID-19 development and severity. A more extensive study with a larger sample size is needed to validate the significance of PRL in disease severity.
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- 2023
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12. Fabrication of PANI/GO/Pd nanocomposite based tapered optical fiber for hydrogen gas sensing applications
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Alkhabet, Mohammed M., Girei, Saad H., Farhan, Ammar Hatem, Altalebi, Omar, Al-Isawi, Zaid Khalaf, Khalaf, Ahmed L., Jaafar, Jaafar A., and Yaacob, Mohd H.
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- 2024
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13. Evaluation of graded recession of inferior oblique muscle for correction of different grades of V-pattern strabismus
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Sokeer, Shaimaa Hady, Ali, Ahmed L., Arafa, El-Sayed S., Awara, Amr M., and Shafik, Heba M.
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- 2023
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14. Fabrication and characterization of microfluidic devices based on boron-modified epoxy resin using CO2 laser ablation for bio-analytical applications
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Mansour, Heba, Soliman, Emad A., El-Bab, Ahmed M. Fath, Matsushita, Yoshihisa, and Abdel-Mawgood, Ahmed L.
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- 2023
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15. Utilizing sinapic acid as an inhibitory antiviral agent against MERS-CoV PLpro
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Mudassar Shahid, Ahmed L. Alaofi, Mushtaq Ahmad Ansari, Sheikh Fayaz Ahmad, Saleh Alsuwayeh, Ehab Taha, and Mohammad Raish
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MERS-CoV ,Papain-like protease ,Sinapic acid ,Antiviral agent ,Thermal Shift Assay ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Concerns about the social and economic collapse, high mortality rates, and stress on the healthcare system are developing due to the coronavirus onslaught in the form of various species and their variants. In the recent past, infections brought on by coronaviruses severe acute respiratory syndrome coronaviruses (SARS-CoV and SARS-CoV-2) as well as middle east respiratory syndrome coronavirus (MERS-CoV) have been reported. There is a severe lack of medications to treat various coronavirus types including MERS-CoV which is hazard to public health due to its ability for pandemic spread by human-to-human transmission. Here, we utilized sinapic acid (SA) against papain-like protease (PLpro), a crucial enzyme involved in MERS-CoV replication, because phytomedicine derived from nature has less well-known negative effects. The thermal shift assay (TSA) was used in the current study to determine whether the drug interact with the recombinant MERS-CoV PLpro. Also, inhibition assay was conducted as the hydrolysis of fluorogenic peptide from the Z-RLRGG-AMC-peptide bond in the presence of SA to determine the level of inhibition of the MERS-CoV PLpro. To study the structural binding efficiency Autodock Vina was used to dock SA to the MERS-CoV PLpro and results were analyzed using PyMOL and Maestro Schrödinger programs. Our results show a convincing interaction between SA and the MERS protease, as SA reduced MERS-CoV PLpro in a dose-dependent way IC50 values of 68.58 μM (of SA). The TSA showed SA raised temperature of melting to 54.61 °C near IC50 and at approximately 2X IC50 concentration (111.5 μM) the Tm for SA + MERS-CoV PLpro was 59.72 °C. SA was docked to MERS-CoV PLpro to identify the binding site. SA bound to the blocking loop (BL2) region of MERS-CoV PLpro interacts with F268, E272, V275, and P249 residues of MERS-CoV PLpro. The effectiveness of protease inhibitors against MERS-CoV has been established and SA is already known for broad range biological activity including antiviral properties; it can be a suitable candidate for anti-MERS-CoV treatment.
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- 2024
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16. Evaluation of graded recession of inferior oblique muscle for correction of different grades of V-pattern strabismus
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Shaimaa Hady Sokeer, Ahmed L. Ali, El-Sayed S. Arafa, Amr M. Awara, and Heba M. Shafik
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V pattern strabismus ,Inferior oblique overaction ,Graded recession ,Dissociated vertical deviation ,Ophthalmology ,RE1-994 - Abstract
Abstract Background V pattern identification is essential for proper strabismus management. Graded recession is a tailored approach to treat inferior oblique overaction (IOOA). The aim is to evaluate the efficacy of graded recession of inferior oblique muscle for correction of different grades of V pattern. Methods Forty patients from 3 to 18 years old with V pattern strabismus and primary IOOA were evaluated by prism cover test to assess the grade of IOOA and amplitude of V-pattern. Graded recession of IO muscle depends on the amplitude of the V-pattern and degree of IOOA. Eight mm recession for amplitude 15 PD to 20 PD and mild IOOA (10 PD-15 PD or + 1) ,10 mm recession for amplitude 20–30 PD and moderate IOOA (15–25 PD or + 2) and maximum recession for amplitude more than 30 PD and marked IOOA (≥ 25 PD or + 3). Simultaneous correction of the horizontal deviation was performed. Follow up after I week,1 month ,3 month and 6-month. Trial Registration Number (TRN) (NCT05786053) on 23/3/2023. Results The mean age of the study patients was 9 ± 4.261. Twenty patients (50%) had V-pattern esotropia, 12 (30%) exotropia, 4 (10%) orthotropic and four (10%) had Dissociated vertical deviation (DVD). Four cases 10% were of grade 1, 20 cases (50%) grade 2 and 16 cases (40%) were of grade 3. Of eighty eyes, 66 eyes (82.5%) were fully corrected with no residual IOOA, and 14 eyes (17.5%) were under corrected. V-pattern was corrected in 28 cases 70% and only 12cases (30%) had residual V-pattern grade 1. Conclusions Graded recession is an effective procedure for correction of V pattern strabismus with various grades of primary inferior oblique overaction. It can be tailored according to the the degree of IO overaction which is significantly related to the grade of V pattern. The 8 mm recession for IO was significantly related to recurrence or inadequate break of the V pattern in our studied cases. The grade of IOOA correlates with the amplitude of V-pattern. The amount of recession was planned according to preoperative IOOA and grade of V-pattern with frequent undercorrections obtained by the standard 8 mm recession. A + 2 overaction merits a 10-mm recession of the inferior oblique. A + 3 or + 4 overaction merits a 14-mm maximal recession.
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- 2023
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17. Evaluation of the Physicochemical and Antimicrobial Properties of Nanoemulsion-Based Polyherbal Mouthwash
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Nazrul Haq, Mudassar Shahid, Ahmed L. Alaofi, Zeeshan Heera Ahmad, Yasser F. Alrayyes, Ibrahim A. Alsarra, and Faiyaz Shakeel
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Chemistry ,QD1-999 - Published
- 2023
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18. Mechanical and electrical studies of PVA/PVP blend filled with MWCNTs
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Abdelrazek, Elmetwally M., Abdelghany, Amr M., Tarabiah, Ahmed E., and Waly, Ahmed L.
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- 2023
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19. Utilizing sinapic acid as an inhibitory antiviral agent against MERS-CoV PLpro
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Shahid, Mudassar, Alaofi, Ahmed L., Ahmad Ansari, Mushtaq, Fayaz Ahmad, Sheikh, Alsuwayeh, Saleh, Taha, Ehab, and Raish, Mohammad
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- 2024
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20. Immunomodulatory therapy in children with paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS, MIS-C; RECOVERY): a randomised, controlled, open-label, platform trial
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Faust, Saul N, Haynes, Richard, Jones, Christine E, Staplin, Natalie, Whittaker, Elizabeth, Jaki, Thomas, Juszczak, Ed, Spata, Enti, Wan, Mandy, Bamford, Alasdair, Dimitri, Paul, Finn, Adam, Furness, John, Ramanan, Athimalaipet V, Gale, Christopher, Cathie, Katrina, Drysdale, Simon, Bernatoniene, Jolanta, Murray, Clare, Roehr, Charles C, Fleming, Paul, Riordan, Andrew, Bandi, Srini, Jyothish, Deepthi, Evans, Jennifer, Emonts, Marieke, Kelly, Dominic, Pathan, Nazima, Davies, Patrick, Hague, Rosie, Pollock, Louisa, Semple, Malcolm G, Peto, Leon, Baillie, J Kenneth, Buch, Maya, Jeffery, Katie, Knight, Marian, Lim, Wei Shen, Montgomery, Alan, Mukherjee, Aparna, Mumford, Andrew, Rowan, Kathryn, Thwaites, Guy, Mafham, Marion, Emberson, Jonathan, Landray, Martin J, Horby, Peter W, Chappell, Lucy, Day, Jeremy, Dung, DV, Quang, NN, Binh, Prof, Burhan, E, Alisjahbana, B, Koirala, J, Basnet, S, Kestelyn, E, Basnyat, B, Gyanwali, P, Hamers, RL, Sandercock, P, Darbyshire, J, DeMets, D, Fowler, R, Lalloo, D, Munavvar, M, Roberts, I, Warris, A, Wittes, J, Craddock-Bamford, A, Barton, J, Basoglu, A, Brown, R, Brudlo, W, Denis, E, Fletcher, L, Howard, S, Musini, S, Taylor, K, Cui, G, Goodenough, B, King, A, Lay, M, Murray, D, Stevens, W, Wallendszus, K, Welsh, R, Crichton, C, Davies, J, Goldacre, R, Harper, C, Knight, F, Nunn, M, Salih, H, Welch, J, Campbell, M, Pessoa-Amorim, G, Zayed, M, Wiles, J, Bagley, G, Cameron, S, Chamberlain, S, Farrell, B, Freeman, H, Kennedy, A, Whitehouse, A, Wilkinson, S, Wood, C, Reith, C, Davies, K, Halls, H, Holland, L, Truell, R, Wilson, K, Lingwood, Emma, Howie, L, Lunn, M, Rodgers, Penelope, Amuasi, J, Baird, K, Bao, T, Bittaye, M, Bonney, J, D'Alessandro, U, Dhimal, M, Huyen, T, Jagne, A, Karkey, A, Maiga, O, Matey, E, Nadjm, B, Nel, J, Pant, S, Puspatriani, K, Rahardjani, M, Raijal, S, Rees, H, Rimainar, A, Roberts, C, Rocca, A, Shrestha, S, Usuf, E, Vidaillic, C, Wulandari, F, Alexander, A, Amezaga, M, Armah, C, Asghar, A, Aubrey, P, Barker-Williams, K, Barnard, A, Bartholomew, J, Beaumont-Jewell, D, Beddows, S, Beety, J, Birch, C, Boyle, P, Brend, M, Brookes, M, Callens, C, Campbell, D, Campbell, H, Cate, H, Chambers, E, Chapman, K, Coe, A, Collins, J, Crawshaw, S, Das, S, De Soyza, A, Denton, E, Dicks, P, Dolman, M, Donaldson, K, Dowden, L, Dowling, S, Drake, C, Duckles-Leech, H, Duffy, H, Gerdes, L, Gibbons, K, Gill, L, Gilmour, K, Goodwin, J, Graham, J, Green, C, Hall, C, Hall, A, Hampshire, K, Hanson, J, Harman, T, Harper, H, Harrison, S, Hicks, J, Hodgson, H, Hough, M, Jackson, S, Johnson, G, Kirk, J, Lemoine, N, Levett, C, Lock, S, Lockett, T, Logan, M, Lomme, K, Luo, J, McMillan, N, Membrey, H, Mguni, N, Minton, J, Monaghan, H, Murphy, S, Muzengi, N, Naz, M, Nickson, I, Odam, M, Ohia, U, Okell, E, Oliver, A, Pearson, K, Pine, K, Pleass, R, Porter, D, Porter, L, Potter, A, Poustie, V, Pratt, S, Price, A, Priest, A, Rodgers, A, Rook, C, Ryan, P, Sam, S, Sharratt, P, Sheffield, J, Shenton, J, Shirley, K, Skinner, T, Slade, H, Sutu, M, Taylor, J, Thomas, E, Tinkler, H, Unsworth, A, Usher, R, van't Hoff, W, Walker, S, Walters, J, Walton, E, Warmington, J, Wayman, E, Williams, P, Williamson, J, Williamson, D, Yelnoorkar, F, Knight, M, Hodson, K, Pavord, S, Williamson, C, Bowman, L, Chen, F, Clarke, R, Goonasekara, M, Herrington, W, Judge, P, Ng, S, Preiss, D, Sammons, E, Zhu, D, Arkley, C, Bowker, P, Bruce, J, Byrne-Watts, V, Chapman, G, Coleman, G, Denwood, T, Gray, J, Harrison, D, Mather, N, Pinches, H, Rees, A, Rees, S, Turner, G, Abani, O, Abbas, A, Abbas, F, Abbas, J, Abbas, K, Abbas, M, Abbasi, S, Abbass, H, Abbott, A, Abdallah, N, Abdelaziz, A, Abdelfattah, M, Abdelqader, B, Abdul, A, Abdul, B, Abdul, S, Abdul Rasheed, A, Abdulakeem, A, Abdul-Kadir, R, Abdullah, A, Abdulmumeen, A, Abdul-Raheem, R, Abdulshukkoor, N, Abdusamad, K, Abed El Khaleq, Y, Abedalla, M, Abeer Ul Amna, A, Abel, L, Abernethy, K, Abeywickrema, M, Abhinaya, C, Aboaba, A, Aboagye-Odei, A, Aboelela, H, Abo-Leyah, H, Abouelela, K, Abou-Haggar, A, Abouibrahim, M, Abousamra, A, Abouzaid, M, Abraham, M, Abraham, T, Abraheem, A, Abrams, J, Abrams, R, Abu, H, Abu-Arafeh, A, Abubacker, S, Abung, A, Abusamra, Y, Aceampong, Y, Achara, A, Acharya, D, Acheampong, S, Acheampong, P, Acheson, J, Achieng, S, Acosta, A, Acquah, R, Acton, C, Adabie-Ankrah, J, Adair, P, Adam, F, Adam, M, Adamali, H, Adamczyk, M, Adams, C, Adams, D, Adams, K, Adams, L, Adams, N, Adams, R, Adams, T, Adamu-Ikeme, L, Adati, K, Adcock, K, Addo, A, Adeagbo, O, Adebiyi, A, Adedeji, O, Adegeye, Y, Adegoke, K, Adell, V, Adenwalla, S, Adeoye, F, Adesemoye, O, Adewunmi, E, Adeyanju, A, Adeyemi, J, Adeyemo, T, Adhikary, R, Aditya, A, Adkins, G, Adnan, A, Aeron-Thomas, J, Affleck, D, Afnan, C, Afridi, M, Aftab, Z, Agarwal, M, Agbeko, R, Agbo, C, Aggarwal, S, Aghababaie, A, Aguilar Jimenez, L, Ahamed Sadiq, S, Ahammed Nazeer, M, Ahmed, A, Ahmed, B, Ahmed, F, Ahmed, H, Ahmed, I, Ahmed, K, Ahmed, L, Ahmad, M, Ahmed, N, Ahmed, O, Ahmed, R, Ahmad, S, Ahmed, S H, Ahmed Ali, R, Ahmed Mohamud, B, Ahmer, S, Ahonia, A, Aiken, C, Ail, D, Ainsworth, M, Aissa, M, Aitken, L, Ajay, B, Ajibode, A, Ajmi, A, Akhtar, N, Akili, S, Akinbiyi, B, Akindolie, O, Akinfenwa, Y, Akinkugbe, O, Akinpelu, I, Akram, M, Aktinade, O, Akudi, U, Al Aaraj, A, Al Balushi, A, Al Dakhola, M, Al Swaifi, A, Al-Abadi, E, Alabi, A, Aladangady, N, Alafifi, M, Alam, A, Alam, S, Al-Asadi, A, Alatzoglou, K, Albert, P, Albon, L, Alcala, A, Alcorn, G, Alcorn, S, Aldana, A, Alderdice, D, Aldesouki, A, Aldouri, R, Aldridge, J, Aldridge, N, Alegria, A, Alexander, C, Alexander, J, Alexander, P, Al-Fori, J, Alghazawi, L, Alhabsha, O, Al-Hakim, B, Alhameed, R, Al-Hayali, M, Al-Hity, S, Ali, A, Ali, F, Ali, J, Ali, M, Ali, N, Ali, O, Ali, R, Ali, S, Aliberti, E, Alin, J, Alina, A, Alipustain, A, Aliyuda, F, Alizaedeh, K, Al-Jibury, M, Al-Juboori, S, Al-Khalil, M, Alkhudhayri, A, Alkhusheh, M, Allan, F, Allan, N, Allanson, A, Allcock, R, Allen, E, Allen, J, Allen, K, Allen, L, Allen, P, Allen, R, Allen, S, Allen, T, Alli, A, Allison, K, Allman, B, Allsup, D, Allsop, H, Allsop, L, Almahroos, A, Al-Moasseb, H, Al-Obaidi, M, Alomari, L, Al-Rabahi, A, Al-Ramadhani, B, Al-Saadi, Z, Al-Sammarraie, R, Alshaer, I, Al-Shahi Salman, R, Al-Shamkhani, W, Alsheikh, F, Al-Sheklly, B, Altaf, S, Alty, A, Alvarez, M, Alvarez Corral, M, Alveyn, E, Alzetani, M, Amamou, S, Amar, N, Ambalavanan, S, Ambrogetti, R, Ambrose, C, Ameen, A, Ames, K, Amin, A, Amin, K, Amin, S, Amin, T, Amit, B, Amjad, A, Amjad, N, Amosun, V, Amsal, M, Amsha, K, Amutio Martin, N, Amy, P, Anada, A, Anand, A, Anandappa, S, Anantapatnaikuni, S, Anderson, E, Anderson, J, Anderson, L, Anderson, M, Anderson, N, Anderson, R, Anderson, S, Anderson, W, Andreou, P, Andrews, A, Andrews, J, Aneke, K, Ang, A, Ang, W, Angel, T, Angela, A, Angelini, P, Anguvaa, L, Anichtchik, O, Anim-Somuah, M, Aniruddhan, K, Annett, J, Anning, L, Anstey, P, Anstey, R, Anthony, A, Anthony-Pillai, A, Antill, P, Antonnia, Z, Anu, V, 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Zulaikha, R, Zulfikar, S, Zullo, C, and Zuriaga-Alvaro, A
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21. Role of Statin Therapy in Prevention of Anthracycline-Induced Cardiotoxicity: A Three Dimentional Echocardiography Study
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Mohamed, Ahmed L, El-Abd, Ali A, Mohamed, Haitham G, Noufal, Ahmed M, and Hennawy, Bassam S
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- 2024
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22. Fabrication and characterization of microfluidic devices based on boron-modified epoxy resin using CO2 laser ablation for bio-analytical applications
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Heba Mansour, Emad A. Soliman, Ahmed M. Fath El-Bab, Yoshihisa Matsushita, and Ahmed L. Abdel-Mawgood
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Medicine ,Science - Abstract
Abstract CO2 laser ablation is a rapid and precise technique for machining microfluidic devices. And also, low-cost epoxy resin (ER) proved the great feasibility of fabricating these devices using the CO2 laser ablation technique in our previous studies. However, such a technique has shown negative impacts on such ER-based microfluidics as rough surface microchannels, and thermal defects. Therefore, incorporating different proportions of boric acid (BA) into epoxy resin formulation was proposed to obviate the genesis of these drawbacks in ER-based microfluidics. The structural and optical properties of plain ER- and B-doped ER-based chips were characterized by Fourier transform infrared (FT-IR) and UV/Vis spectral analyses. Furthermore, their thermal properties were studied by thermo-gravimetric (TGA) and differential scanning calorimetric (DSC) analysis. A CO2 laser ablation machine was used in vector mode to draw the designed micro-channel pattern onto plain ER- and B-doped ER-based chips. The quality of microchannels engraved onto these chips was assessed using 3D laser microscopy. This microscopic examination showed a noticeable reduction in the surface roughness and negligible bulge heights in the laser-ablated micro-channels. On the other hand, overall and specific migration using gravimetric methods and gas chromatography-mass spectrometry (GC–MS), respectively, and PCR compatibility test were performed to explore the convenience of these micro-plates for the biological reactions. These findings validated the applicability of B-doped ER-based microfluidics in bio-analytical applications as a result of the effective role of boric acid in enhancing the thermal properties of these chips leading to get micro-channels with higher quality with no effect on the biological reactions.
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- 2023
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23. If the machine says 'Normal' on the ECG, can I put the patient in the waiting room?: a study on the reliability of ECG software classification
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Afnan S. Sharourou, Omar T. Idrees, Ahmed L. AlManzalawi, Amro M. Tayeb, Thamer A. AlGhamdi, and Anas Fouad Hamam
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electrocardiography ,triage ,emergency service ,hospital ,Medicine - Abstract
Background: Electrocardiograms (ECGs) are one of the most basic and fundamental screening tools used in the emergency department (ED). Previous studies have shown machine diagnosis of ECG to be unreliable, the ECG machine does provide a simpler classification of: 1- Normal, 2- Otherwise normal, 3- Borderline, and 4- Abnormal printed on the ECG. We aim to investigate if machine classification could be used reliably as a screening test for triage. Methods: This cross-sectional study was conducted from 1 to 14 June 2019 of ED at King Abdullah Medical Complex using electronic medical records. The ECGs were put into sets of 25 traces/set and then presented to 21 board-certified emergency medicine attending physicians (EMPs) to assess and decide on one of the actions: Put in the waiting area, see in triage, or admit immediately. The responses were analyzed for inter-subject correlation coefficient kappa (k). Results: Of the 3,149 patients, 452 had ECGs done from which 200 ECGs were chosen at random. The inter-subject correlation coefficient was found to be 0.315 ± 0.187 denoting a fair to moderate correlation. From the ECG traces classified as "Normal" by the ECG machine, only 46% ended up in the waiting room. While almost 15% were admitted immediately to an ED bed. In contrast, 27% of those labeled as "Abnormal" ended up in the waiting room, while 44% were admitted to an ED bed. Conclusion: The machine classification of the ECG traces unfortunately failed remarkably to predict the EMP's decision. As such, the assessment of the attending EMP remains a necessary and essential part of the assessment. [SJEMed 2023; 4(1.000): 001-005]
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- 2023
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24. Association of Serum Procalcitonin Level with Severity of COVID-19 among Patients in Ajman, United Arab Emirates
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Reem Ali, Salma Elnour, Hasan Higazi, Ahmed L. Osman, Marwan Ismail, Abdelgadir Alamin Altoum, Ayman Hussien Alfeel, Praveen Kumar Kandakurti, Noha Kamal Abdel Moamen, Salah Eldin Omar Hussein, and Sara Ali
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sars-cov-2 ,covid-19 ,procalcitonin ,disease severity ,Medicine - Abstract
The aim of the current study was to assess the association between the mean level of procalcitonin (PCT), demographic characteristics, and the symptoms, duration, and severity of COVID-19. Methods and Results: This cross-sectional study included patients with a confirmed COVID-19 infection who visited the Thumbay Hospital in Ajman (UAE) between March and June 2022. A total of 231 COVID-19-positive patient records (170[73.6%] males and 61[26.4%] females) were included in the study. PCT levels were measured upon admission using the Beckman Coulter – UniCel DxI 800 Access Immunoassay System. The mean patients’ age was 47.44±13.460 years, and the length of stay in the hospital was 11.21±8.145 days. The PCT mean level was 0.545±1.739 ng/ml with minimum and maximum values of 0.010 ng/ml and 16.667 ng/ml, respectively. In terms of COVID-19 severity, patients were categorized into mild (121[52.4%]), moderate (59[25.5%]), and severe 51(22.1%]). We found no association between age categories and COVID-19 severity. There was a statistically significant difference in the mean PCT level among the severity groups. The mean PCT level increased with increasing severity of COVID-19: 0.0569±0.0324, 0.1736±0.0594, and 2.134±3.254 ng/ml for mild, moderate, and severe COVID-19, respectively (P=0.0000) There was a statistically significant, moderate positive correlation between PCT level and disease severity (r=0.433, P=0.001). The linear regression results revealed that PCT level is a significant factor in COVID-19 severity. Conclusion: The current study demonstrates that the serum PCT level may be a marker of disease severity in patients infected with SARS-CoV-2.
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- 2023
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25. Introduction to Neuromorphic Computing Systems
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Ahmed, L. Jubair, primary, Dhanasekar, S., additional, Sagayam, K. Martin, additional, Vijh, Surbhi, additional, Tyagi, Vipin, additional, Singh, Mayank, additional, and Norta, Alex, additional
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- 2023
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26. Impact of miconazole nitrate ferrying cationic and anionic nanoemulsion and gels on permeation profiles of across EpiDerm, artificial membrane, and skin: Instrumental evidences
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Shahid, Mudassar, Alrumayyan, Bashayer Firas, Ramzan, Mohhammad, Jalees Ahmed, Farhan, Malik, Abdul, Khuroo, Tahir, and Alaofi, Ahmed L.
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- 2023
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27. Empagliflozin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
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Abani, O, Abbas, A, Abbas, F, Abbas, J, Abbas, K, Abbas, M, Abbasi, S, Abbass, H, Abbott, A, Abdallah, N, Abdelaziz, A, Abdelfattah, M, Abdelqader, B, Abdul, A, Abdul, B, Abdul, S, Abdul Rasheed, A, Abdulakeem, A, Abdul-Kadir, R, Abdullah, A, Abdulmumeen, A, Abdul-Raheem, R, Abdulshukkoor, N, Abdusamad, K, Abed El Khaleq, Y, Abedalla, M, Abeer Ul Amna, A, Abel, L, Abernethy, K, Abeywickrema, M, Abhinaya, C, Abidin, A, Aboaba, A, Aboagye-Odei, A, Aboah, C, Aboelela, H, Abo-Leyah, H, Abouelela, K, Abou-Haggar, A, Abouibrahim, M, Abousamra, A, Abouzaid, M, Abraham, M, Abraham, T, Abraheem, A, Abrams, J, Abrams, R, Abu, HJ, Abu-Arafeh, A, Abubacker, SM, Abung, A, Abusamra, Y, Aceampong, Y, Achara, A, Acharya, D, Acheampong, F, Acheampong, P, Acheampong, S, Acheson, J, Achieng, S, Acosta, A, Acquah, R, Acton, C, Adabie-Ankrah, J, Adair, P, Adam, AS, Adam, F, Adam, M, Adamali, H, Adamczyk, M, Adams, C, Adams, D, Adams, K, Adams, L, Adams, N, Adams, R, Adams, T, Adamu-Ikeme, L, Adatia, K, Adcock, K, Addai-Boampong, L, Addo, A, Adeagbo, O, Adebiyi, A, Adedeji, O, Adegeye, Y, Adegoke, K, Adell, V, Adenwalla, S, Adeoye, FW, Adesemoye, OA, Adewunmi, EO, Adeyanju, A, Adeyemi, J, Adeyemo, T, Adhikari, B, Adhikari, SA, Adhikary, R, Aditya, A, Adjepong, P, Adkins, G, Adnan, A, Adriaanse, M, Aeron-Thomas, J, Affleck, D, Afnan, C, Afridi, M, Afrim, P, Afriyie, FA, Aftab, ZA, Afum-Adjei Awuah, A, Agarwal, M, Agasiya, PN, Agbeko, R, Agbo, C, Aggarwal, S, Aghababaie, A, Aguilar Jimenez, L, Agyekum, JA, Agyen, K, Ahadome, EK, Ahamed Sadiq, S, Ahammed Nazeer, MH, Ahmad, M, Ahmad, S, Ahmed, A, Ahmed, BAR, Ahmed, B, Ahmed, F, Ahmed, H, Ahmed, I, Ahmed, K, Ahmed, L, Ahmed, M, Ahmed, MC, Ahmed, MS, Ahmed, N, Ahmed, O, Ahmed, RA, Ahmed, R, Ahmed, S, Ahmed, SG, Ahmed, SH, Ahmed Ali, R, Ahmed Mohamud, B, Ahmer, S, Ahonia, A, Aidoo, C, Aiken, C, Ail, D, Ainsworth, M, Aissa, M, Aitken, L, Ajay, B, Ajibode, A, Ajmi, A, Akhtar, N, Akili, S, Akinbiyi, B, Akindolie, O, Akinfenwa, Y, Akinkugbe, O, Akinpelu, I, Akram, M, Aktinade, O, Akudi, U, Al Aaraj, ASAR, Al Balushi, A, Al Dakhola, M, Al Swaifi, A, Al-Abadi, E, Alabi, A, Aladangady, N, Alafifi, M, Alam, A, Alam, S, Al-Asadi, A, Alatzoglou, K, Albert, P, Albertus, A, Albon, L, Alcala, A, Alcorn, G, Alcorn, S, Aldana, A, Alderdice, D, Aldesouki, A, Aldouri, R, Aldridge, J, Aldridge, N, Ale, RM, Alegria, A, Alexander, A, Alexander, C, Alexander, J, Alexander, PDG, Al-fori, J, Alghazawi, L, Alhabsha, O, Al-Hakim, B, Alhameed, R, Al-Hayali, M, Al-Hity, S, Ali, A, Ali, FR, Ali, J, Ali, M, Ali, MS, Ali, N, Ali, O, Ali, R, Ali, S, Aliberti, E, Alin, J, Alina, A, Alipustain, A, Alisjahbana, B, Aliyuda, F, Alizadeh, K, Al-Jibury, M, Al-Juboori, S, Al-Khalil, M, Alkhudhayri, A, Alkhusheh, M, Allan, F, Allan, N, Allanson, A, Allcock, R, Allen, E, Allen, J, Allen, K, Allen, L, Allen, P, Allen, R, Allen, S, Allen, T, Alli, A, Allison, K, Allman, B, Allsop, HK, Allsop, L, Allsup, D, Almahroos, AFT, Al-Moasseb, H, Al-Obaidi, M, Alomari, L, Al-Rabahi, A, Al-Ramadhani, B, Al-Saadi, Z, Al-Sammarraie, R, Alshaer, I, Al-Shahi Salman, R, Al-Shamkhani, W, Alsheikh, F, Al-Sheklly, B, Altaf, S, Alty, A, Alvarez, M, Alvarez Corral, M, Alveyn, E, Alzetani, M, Amamou, S, Amar, N, Ambalavanan, S, Ambrogetti, R, Ambrose, C, Ameen, A, Amelia Ganefianty, A, Ames, K, Amezaga, MR, Amin, A, Amin, K, Amin, S, Amin, T, Amit, B, Amjad, A, Amjad, N, Amoah-Dankwa, J, Amoako-Adusei, A, Amosun, V, Amsal, M, Amsha, K, Amuasi, J, Amutio Martin, N, Amy, P, Anada, A, Anand, A, Anandappa, S, Anantapatnaikuni, SD, Andari, NKN, Anderson, E, Anderson, J, Anderson, L, Anderson, M, Anderson, N, Anderson, R, Anderson, S, Anderson, W, Andreou, P, Andrews, A, Andrews, J, Aneke, K, Ang, A, Ang, WW, Angel, T, Angela, A, Angelini, P, Anguvaa, L, Anichtchik, O, Anim-Somuah, M, Aniruddhan, K, Annett, J, Anning, L, Ansah, M, Anstey, PJ, Anstey, R, Anthony, A, Anthony-Pillai, A, Antill, P, Antonina, Z, Anu, V, Anwar, M, Anwar, S, Apetri, E, Apostolopoulos, A, Appleby, S, Appleyard, D, Aquino, MF, Araba, B, Aransiola, S, Araujo, M, Archer, A, Archer, D, Archer, S, Arcoria, D, Ardley, C, Arhin-Sam, G, Arias, A-M, Aribike, O, Arimoto, R, Arisanti, NLPE, Arkley, C, Armah, C, Armata, I, Armistead, J, Armitage, A, Armstrong, C, Armstrong, M, Armstrong, S, Armstrong, W, Armtrong, P, Arndt, H, Arnison-Newgass, C, Arnold, D, Arnold, R, Arnott, A, Arora, D, Arora, K, Arora, P, Arora, R, Arter, A, Arthur, A, Artini, NM, Arumaithurai, A, Arya, A, Arya, R, Aryal, D, Asandei, D, Asare, GA, Asghar, A, Asghar, M, Ashab, A, Ashbrook-Raby, C, Ashby, H, Ashcroft, J, Ashcroft, S, Asher, G, Ashfak, Z, Ashfaq, A, Asiamah, HA, Ashish, A, Ashley, D, Ashman-Flavell, S, Ashok, S, Ashour, A-E-A, Ashraf, MZ, Ashraf, S, Ashraq, MB, Ashton, D, Ashton, S, Ashworth, A, Ashworth, FJ, Ashworth, R, Aslam, A, Aslam, I, Aslam, S, Aslett, L, Asogan, H, Asrar, A, Assaf, O, Astin-Chamberlain, R, Atabudzi, YE, Athavale, P, Athorne, D, Atkins, B, Atkins, C, Atkins, S, Atkinson, J, Atkinson, V, Atomode, A, Atraskiewicz, B, Attia, AA, Attubato, E, Attwood, M, Aubrey, P, Auer, Z, Aujayeb, A, Aung, AT, Aung, H, Aung, HWW, Aung, KK, Aung, KT, Aung, N, Aung, Y, Aung, ZM, Austin, E, Austin, K, Auwal, A, Avari, M, Avery, M, Aveyard, N, Avis, J, Aviss, G, Avram, C, Avram, P, Awadelkareem, A, Awadzi, G, Awaly, M, Awan, A, Awisi, S, Aya, A, Ayaz, E, Ayerh, JM, Ayers, A, Azam, J, Azeem, A, Azharuddin, M, Aziz, A, Aziz, G, Aziz, I, Aziz, N, Azkoul, A, Azman Shah, A, Azzopardi, G, Azzoug, H, Babatunde, F, Babi, M, Babiker, B, Babington, G, Babirecki, M, Babores, M, Babs-Osibodu, AO, Bac, T, Bacciarelli, S, Bachar, R, Bachour, M-E, Bachti, A, Bacon, G, Bacon, J, Badal, B, Badat, A, Bader, M, Badhan, GR, Badhrinarayanan, S, Bae, JP, Baggaley, A, Baggott, A, Bagley, G, Bagmane, D, Bagshaw, L, Bahadori, K, Bahurupi, Y, Bailey, A, Bailey, J, Bailey, K, Bailey, L, Bailey, MA, Bailey, M, Bailey, P, Bailey, S, Baillie, H, Baillie, JK, Bain, J, Bains, V, Baird, D, Baird, E, Baird, K, Baird, S, Baird, T, Baird, Y, Bajandouh, A, Baker, DC, Baker, E, Baker, J, Baker, K, Baker, M, Baker, R, Baker, T-A, Baker, V, Bakere, H, Bakerly, N, Baker-Moffatt, M, Bakhai, A, Bakhtiar, N, Bakoulas, P, Bakthavatsalam, D, Balachandran, N, Balan, A, Balasingam, P, Balaskas, T, Balasubramaniam, M, Balatoni, N, Balcombe, A, Baldwin, A, Baldwin, C, Baldwin, D, Baldwin, F, Baldwin-Jones, R, Bale, N, Balfour, J, Ball, M, Ball, Ro, Ballard, K, Balluz, I, Balmforth, C, Balogh, E, Baltmr, A, Baluwala, A, Bambridge, G, Bamford, A, Bamford, P, Bamgboye, A, Bancroft, E, Bancroft, H, Banda, J, Bandaru, K, Bandi, S, Bandla, N, Bandyopadhyam, S, Banerjee, A, Banerjee, R, Bang, P, Baniya, S, Bani-Saad, O, Banks, H, Banks, L, Banks, P, Bann, C, Bannister, H, Bannister, O, Banton, L, Bao, T, Baptist, M, Baqai, T, Baral, AM, Baral, SC, Baramova, D, Barber, R, Barbon, E, Barbosa, M, Barbour, J, Barclay, A, Barclay, C, Bardsley, G, Bareford, S, Bari, S, Barimbing, M, Barker, A, Barker, D, Barker, E, 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Bawa, T, Bawani, FS, Bax, S, Baxter, M, Baxter, N, Baxter, Z, Bayes, H, Bayo, L-A, Bazari, F, Bazaz, R, Bazli, A, Beacham, L, Beadles, W, Beadon, K, Beak, P, Beale, A, Beard, K, Bearpark, J, Beasley, A, Beattie, S, Beaumont, K, Beaumont-Jewell, D, Beaver, T, Beavis, S, Beazley, C, Beck, S, Beckett, V, Beckitt, R, Beckley, S, Beddall, H, Beddows, S, Beeby, D, Beeby, S, Beech, G, Beecroft, M, Beer, N, Beer, Sa, Beety, J, Bega, G, Begg, A, Begg, S, Beghini, S, Begum, A, Begum, S, Behan, T, Behrouzi, R, Beishon, J, Beith, C, Belcher, J, Belfield, H, Belfield, K, Belgaumkar, A, Bell, D, Bell, G, Bell, J, Bell, L, Bell, N, Bell, P, Bell, S, Bellamu, J, Bellamy, M, Bellamy, T, Bellini, A, Bellis, A, Bellis, F, Bendall, L, Benesh, N, Benetti, N, Bengu, SA, Benham, L, Benison-Horner, G, Benkenstein, S, Benn, T, Bennett, A, Bennett, C, Bennett, D, Bennett, G, Bennett, K, Bennett, L, Bennett, MR, Bennett, S, Bennion, K, Benoy, G, Benson, V, Bentley, A, Bentley, J, Benton, I, Beranova, E, 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- 2023
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28. PYCR1, BANF1, and STARD8 Expression in Gastric Carcinoma: A Clinicopathologic, Prognostic, and Immunohistochemical Study
- Author
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Harb, Ola A., Elfeky, Mariem A., Alabiad, Mohamed Ali, Hemeda, Rehab, Allam, Ahmed S., El Hawary, Amr T., Elbaz, Mohammed, Sharaf, Ahmed L., Gertallah, Loay M., Abdelaziz, Ahmed Mesbah, Shalaby, Amany Mohamed, Alorini, Mohammed, Yahia, Amar Ibrahim Omer, and Negm, Mohamed
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- 2024
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29. Analytical expression for the model that describes the heterogeneous reaction-diffusion process with immobilized enzyme (penicillin G acylase)
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Niyaz Ahmed, L. and Thomas, Praveen
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- 2023
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30. Metabolomic profiling of bacterial biofilm: trends, challenges, and an emerging antibiofilm target
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Malviya, Jitendra, Alameri, Ameer A., Al-Janabi, Saif S., Fawzi, Omar Faridh, Azzawi, Ahmed L., Obaid, Rasha Fadhel, Alsudani, Ali A, Alkhayyat, Ameer S., Gupta, Jitendra, Mustafa, Yasser Fakri, Karampoor, Sajad, and Mirzaei, Rasoul
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- 2023
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31. Retraction Note: Optimization of Thymoquinone-Loaded Coconut Oil Nanostructured Lipid Carriers for the Management of Ethanol-Induced Ulcer
- Author
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Fahmy, Usama A., Alaofi, Ahmed L., Awan, Zuhier A., Alqarni, Hani M., and Alhakamy, Nabil A.
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- 2023
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32. Diffractive Phase Interferometry (DPI), CRP and COVID-19 RT-PCR Tests in COVID-19 Patients with Different Ages in AJMAN, UAE: A Comparative Study
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Salah Eldin Omar Hussein, Abd Elgadir Alamin Altoum, Ahmed L. Osman, Ayman Hussien Alfeel, Sara Ali, Marwan Ismail, and Hassan M. K. I. Higazi
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diffractive phase interferometry ,covid 19 ,c-reactive protein ,polymerase chain reaction ,Medicine - Abstract
Background: Fast and accurate diagnosis plays an important role in controlling and further preventing COVID-19. This study was conducted in the Thumbay laboratory of Gulf Medical University (Ajman, UAE) to assess the correlations between DPI (Diffractive Phase Interferometry), COVID-19 RT-PCR, and CRP tests in COVID-19 patients of different ages and to compare the effectiveness of each parameter. Methods and Results: A cross-sectional analytic study was conducted among 150 patients diagnosed with COVID-19 who were admitted to the Thumbay University Hospital. Their general data was collected from the LDM system, and from among the suspected patients who came to do the RT-PCR test, 230 were selected as volunteers to participate in this study, and further laboratory tests like CRP level and DPI test were done for them. The nasal swab was collected for a PCR test. Out of 230 nasal swab samples, 150 were positive and 80 were negative for SARS-CoV-2 RNA by real-time RT-PCR assay. Among the 150 positive RT-PCR, 90 false negative DPI tests were from a sample with a high real-time RT-PCR. While 60 true positive DPI tests were positive real-time RT-PCR for swab specimens. Among the 80 negative RT-PCR, 79 were true negative and 1 was a false positive. The predictive positive value of the DPI test was 40% and the predictive negative value of the test was 98%. DPI has at least one tie between the positive actual state group and the negative actual state group. The results show weak and moderate positive correlations between CRP and the age groups. Conclusion: The combined detection of the three indicators (RT-PCR, DPI, and CRP) are positively related to COVID-19 infection; therefore, these indicators will enable effective intervention measures to be implemented in time and the rates of severe illness and mortality to be reduced.
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- 2022
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33. Serum Procalcitonin Level and Comorbidity in Covid-19 Patients in UAE
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Sara Ali, Reem Ali, Salma Elnour, Hasan Higazi, Ahmed L. Osman, Marwan Ismail, Abdelgadir Alamin Altoum, Ayman Hussien Alfeel, Praveen Kumar Kandakurt, and Salah Eldin Omar Hussein
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procalcitonin ,covid-19 ,comorbidity ,Medicine - Abstract
Background: Most COVID-19 patients experience a mild form of the disease, but there is a certain percentage of patients who progress to a very severe disease state that requires intensive care and invasive ventilation. In order to ensure better patient management and improved outcomes, early identification of patients who may be at a higher risk of severe infection can play an important role. The aim of this study was to assess the association between the mean procalcitonin (PCT) level and comorbidity in hospitalized patients with COVID-19. Methods and Results: A total of 231 COVID-19-positive patients aged between 20 and 82 years (170[73.6 %] males and 61[26.4%] females) were included in this study. Serum PCT was accessed by procalcitonin assay using the Beckman Coulter UniCel DxI 800 instrument. Eighty-seven (37.7%) patients had no chronic disease, while 144(62.3%) had comorbidities: hypertension (37[16.0%]), diabetes mellitus (44[19.0%]), a combination of diabetes mellitus with hypertension (32[13.9%]), asthma (6[2.6%]), hyperlipidemia (4[1.7%]), renal disease (1[0.4%]), and COPD (1[0.4%]). COVID-19 patients with diabetes in combination with hypertension had a statistically greater PCT level than COVID-19 patients without comorbidities (P=0.0273). However, there were no statistically significant differences in the mean PCT level between different age categories (P=0.7390). The serum PCT measurement could evaluate the prognosis of the disease in some COVID-19 patients.
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- 2022
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34. Assessment of Male Medical Students' Knowledge and Attitudes About Prostate Cancer and Screening at the University of Khartoum
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Kamal Eldin Hussein Elhassan, Mohammed Eltag Mohammed, Nimat Hussein Elhassan, Abd Elgadir Alamin Altoum, Asaad MA. Babker, Ayman Hussien Alfeel, Ahmed L. Osman, and Salah Eldin Omar Hussein
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prostate cancer ,attitude ,knowledge ,medical students ,Medicine - Abstract
Background: Prostate cancer (PC) is the most common cancer among men in Sudan. It was ranked fourth among all cancer treatment centers in Khartoum. This study aimed to assess knowledge and attitude toward PC among male medical students in their final and semifinal years at the University of Khartoum. Methods and Results: A descriptive cross-sectional online survey was conducted at the University of Khartoum (Faculty of Medicine) on semifinal and final-year male medical students from March 2022 until May 2022. Data were collected from medical students, using a standardized, pretested, coded questionnaire that contained close-ended questions. The questionnaire was distributed online to the medical students using Google Forms. Knowledge levels were determined using 10 questions on risk factors, signs and symptoms, prevention, treatment, and complications of PC. A total of 131 participants received questionnaires, and the response rate was 100%. The results are presented in chronological order in the way they were analyzed, starting with sociodemographic characteristics of the participants, sources of information on PC, knowledge levels (low, medium, and high) of PC, and attitude levels (positive, negative) relating to the year of study. All medical students in the last 2 years have heard about PC, and medical students overwhelmingly (88.5%) believe that early detection of PC through screening improves survival. Almost all the respondents in our study indicated their willingness to go for PC screening (87.8%), and the rest of the respondents’ attitudes about the importance of PC and treatment were positive. Conclusion: Most students have sufficient knowledge about prostate cancer, its risk factors, complications, and treatment. Medical students are an important population in studying the determinants of screening for prostate cancer.
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- 2022
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35. Synthesis, Characterization and DFT Study of 1-(3-Mesityl-3-methylcyclobutyl)-2-((4-phenyl-5-(thiophen-2-yl)-4H-1,2,4-triazol-3-yl)thio)ethan-1-one
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Omer, R. A., Koparir, P., Koparir, M., Rashid, R. F., Ahmed, L. O., and Hama, J. R.
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- 2022
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36. Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Steinmetz, J, Seeher, K, Schiess, N, Nichols, E, Cao, B, Servili, C, Cavallera, V, Cousin, E, Hagins, H, Moberg, M, Mehlman, M, Abate, Y, Abbas, J, Abbasi, M, Abbasian, M, Abbastabar, H, Abdelmasseh, M, Abdollahi, M, Abdollahifar, M, Abd-Rabu, R, Abdulah, D, Abdullahi, A, Abedi, A, Abedi, V, Abeldano Zuniga, R, Abidi, H, Abiodun, O, Aboagye, R, Abolhassani, H, Aboyans, V, Abrha, W, Abualhasan, A, Abu-Gharbieh, E, Aburuz, S, Adamu, L, Addo, I, Adebayo, O, Adekanmbi, V, Adekiya, T, Adikusuma, W, Adnani, Q, Adra, S, Afework, T, Afolabi, A, Afraz, A, Afzal, S, Aghamiri, S, Agodi, A, Agyemang-Duah, W, Ahinkorah, B, Ahmad, A, Ahmad, D, Ahmad, S, Ahmadzade, A, Ahmed, A, Ahmed, H, Ahmed, J, Ahmed, L, Ahmed, M, Ahmed, S, Ajami, M, Aji, B, Ajumobi, O, Akade, S, Akbari, M, Akbarialiabad, H, Akhlaghi, S, Akinosoglou, K, Akinyemi, R, Akonde, M, Al Hasan, S, Alahdab, F, Al-Ahdal, T, Al-Amer, R, Albashtawy, M, Albataineh, M, Aldawsari, K, Alemi, H, Alemi, S, Algammal, A, Al-Gheethi, A, Alhalaiqa, F, Alhassan, R, Ali, A, Ali, E, Ali, L, Ali, M, Ali, R, Ali, S, Shujait Ali, S, Ali, Z, Alif, S, Alimohamadi, Y, Aliyi, A, Aljofan, M, Aljunid, S, Alladi, S, Almazan, J, Almustanyir, S, Al-Omari, B, Alqahtani, J, Alqasmi, I, Alqutaibi, A, Al-Shahi Salman, R, Altaany, Z, Al-Tawfiq, J, Altirkawi, K, Alvis-Guzman, N, Al-Worafi, Y, Aly, H, Aly, S, Alzoubi, K, Amani, R, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, M, Amu, H, Amugsi, D, Amusa, G, Amzat, J, Ancuceanu, R, Anderlini, D, Anderson, D, Andrei, C, Androudi, S, Angappan, D, Angesom, T, Anil, A, Ansari-Moghaddam, A, Anwer, R, Arafat, M, Aravkin, A, Areda, D, Ariffin, H, Arifin, H, Arkew, M, Arnlov, J, Arooj, M, Artamonov, A, Artanti, K, Aruleba, R, Asadi-Pooya, A, Asena, T, Asghari-Jafarabadi, M, Ashraf, M, Ashraf, T, Atalell, K, Athari, S, Atinafu, B, Atorkey, P, Atout, M, Atreya, A, Aujayeb, A, Avan, A, Ayala Quintanilla, B, Ayatollahi, H, Ayinde, O, Mohammad Ayyoubzadeh, S, Azadnajafabad, S, Azizi, Z, Azizian, K, Azzam, A, Babaei, M, Badar, M, Badiye, A, Baghdadi, S, Bagherieh, S, Bai, R, Baig, A, Balakrishnan, S, Balalla, S, Baltatu, O, Banach, M, Bandyopadhyay, S, Banerjee, I, Baran, M, Barboza, M, Barchitta, M, Bardhan, M, Barker-Collo, S, Barnighausen, T, Barrow, A, Bashash, D, Bashiri, H, Bashiru, H, Basiru, A, Basso, J, Basu, S, Batiha, A, Batra, K, Baune, B, Bedi, N, Begde, A, Begum, T, Behnam, B, Behnoush, A, Beiranvand, M, Bejot, Y, Bekele, A, Belete, M, Belgaumi, U, Bemanalizadeh, M, Bender, R, Benfor, B, Bennett, D, Bensenor, I, Berice, B, Bettencourt, P, Beyene, K, Bhadra, A, Bhagat, D, Bhangdia, K, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, A, Bhat, V, Bhatti, G, Bhatti, J, Bhatti, R, Bijani, A, Bikbov, B, Bilalaga, M, Biswas, A, Bitaraf, S, Bitra, V, Bjorge, T, Bodolica, V, Bodunrin, A, Boloor, A, Braithwaite, D, Brayne, C, Brenner, H, Briko, A, Bringas Vega, M, Brown, J, Budke, C, Buonsenso, D, Burkart, K, Burns, R, Bustanji, Y, Butt, M, Butt, N, Butt, Z, Cabral, L, dos Santos, F, Calina, D, Campos-Nonato, I, Cao, C, Carabin, H, Cardenas, R, Carreras, G, Carvalho, A, Castaneda-Orjuela, C, Casulli, A, Catala-Lopez, F, Catapano, A, Caye, A, Cegolon, L, Cenderadewi, M, Cerin, E, Chacon-Uscamaita, P, Chan, J, Chanie, G, Charan, J, Chattu, V, Chekol Abebe, E, Chen, H, Chen, J, Chi, G, Chichagi, F, Chidambaram, S, Chimoriya, R, Ching, P, Chitheer, A, Chong, Y, Chopra, H, Choudhari, S, Chowdhury, E, Chowdhury, R, Christensen, H, Chu, D, Chukwu, I, Chung, E, Coberly, K, Columbus, A, Comachio, J, Conde, J, Cortesi, P, Costa, V, Couto, R, Criqui, M, Cruz-Martins, N, Dabbagh Ohadi, M, Dadana, S, Dadras, O, Dai, X, Dai, Z, D'Amico, E, Danawi, H, Dandona, L, Dandona, R, Darwish, A, Das, S, Dascalu, A, Dash, N, Dashti, M, De la Hoz, F, de la Torre-Luque, A, De Leo, D, Dean, F, Dehghan, A, Dejene, H, Demant, D, Demetriades, A, Demissie, S, Deng, X, Desai, H, Devanbu, V, Dhama, K, Dharmaratne, S, Dhimal, M, Dias da Silva, D, Diaz, D, Dibas, M, Ding, D, Dinu, M, Dirac, M, Diress, M, Do, T, Doan, K, Dodangeh, M, Doheim, M, Dokova, K, Dongarwar, D, Dsouza, H, Dube, J, Duraisamy, S, Durojaiye, O, Dutta, S, Dziedzic, A, Edinur, H, Eissazade, N, Ekholuenetale, M, Ekundayo, T, El Nahas, N, El Sayed, I, Elahi Najafi, M, Elbarazi, I, Elemam, N, Elgar, F, Elgendy, I, Elhabashy, H, Elhadi, M, Elilo, L, Ellenbogen, R, Elmeligy, O, Elmonem, M, Elshaer, M, Elsohaby, I, Emamverdi, M, Emeto, T, Endres, M, Esezobor, C, Eskandarieh, S, Fadaei, A, Fagbamigbe, A, Fahim, A, Faramarzi, A, Fares, J, Farjoud Kouhanjani, M, Faro, A, Farzadfar, F, Fatehizadeh, A, Fathi, M, Fathi, S, Fatima, S, Feizkhah, A, Fereshtehnejad, S, Ferrari, A, Ferreira, N, Fetensa, G, Firouraghi, N, Fischer, F, Fonseca, A, Force, L, Fornari, A, Foroutan, B, Fukumoto, T, Gadanya, M, Gaidhane, A, Galali, Y, Galehdar, N, Gan, Q, Gandhi, A, Ganesan, B, Gardner, W, Garg, N, Gau, S, Gautam, R, Gebre, T, Gebrehiwot, M, Gebremeskel, G, Gebreslassie, H, Getacher, L, Ghaderi Yazdi, B, Ghadirian, F, Ghaffarpasand, F, Ghanbari, R, Ghasemi, M, Ghazy, R, Ghimire, S, Gholami, A, Gholamrezanezhad, A, Ghotbi, E, Ghozy, S, Gialluisi, A, Gill, P, Glasstetter, L, Gnedovskaya, E, Golchin, A, Golechha, M, Goleij, P, Golinelli, D, Gomes-Neto, M, Goulart, A, Goyal, A, Gray, R, Grivna, M, Guadie, H, Guan, B, Guarducci, G, Guicciardi, S, Gunawardane, D, Guo, H, Gupta, B, Gupta, R, Gupta, S, Gupta, V, Gutierrez, R, Habibzadeh, F, Hachinski, V, Haddadi, R, Hadei, M, Hadi, N, Haep, N, Haile, T, Haj-Mirzaian, A, Hall, B, Halwani, R, Hameed, S, Hamiduzzaman, M, Hammoud, A, Han, H, Hanifi, N, Hankey, G, Hannan, M, Hao, J, Harapan, H, Hareru, H, Hargono, A, Harlianto, N, Haro, J, Hartman, N, Hasaballah, A, Hasan, F, Hasani, H, Hasanian, M, Hassan, A, Hassan, S, Hassanipour, S, Hassankhani, H, Hassen, M, Haubold, J, Hay, S, Hayat, K, Hegazy, M, Heidari, G, Heidari, M, Heidari-Soureshjani, R, Hesami, H, Hezam, K, Hiraike, Y, Hoffman, H, Holla, R, Hopf, K, Horita, N, Hossain, M, Hossain, S, Hosseinzadeh, H, Hosseinzadeh, M, Hostiuc, S, Hu, C, Huang, J, Huda, M, Hussain, J, Hussein, N, Huynh, H, Hwang, B, Ibitoye, S, Ilaghi, M, Ilesanmi, O, Ilic, I, Ilic, M, Immurana, M, Iravanpour, F, Islam, S, Ismail, F, Iso, H, Isola, G, Iwagami, M, Iwu, C, Iyer, M, Jaan, A, Jacob, L, Jadidi-Niaragh, F, Jafari, M, Jafarinia, M, Jafarzadeh, A, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jaiswal, A, Jakovljevic, M, Jamora, R, Jana, S, Javadi, N, Javed, S, Javeed, S, Jayapal, S, Jayaram, S, Jiang, H, Johnson, C, Johnson, W, Jokar, M, Jonas, J, Joseph, A, Joseph, N, Joshua, C, Jurisson, M, Kabir, A, Kabir, Z, Kabito, G, Kadashetti, V, Kafi, F, Kalani, R, Kalantar, F, Kaliyadan, F, Kamath, A, Kamath, S, Kanchan, T, Kandel, A, Kandel, H, Kanmodi, K, Karajizadeh, M, Karami, J, Karanth, S, Karaye, I, Karch, A, Karimi, A, Karimi, H, Karimi Behnagh, A, Kasraei, H, Kassebaum, N, Kauppila, J, Kaur, H, Kaur, N, Kayode, G, Kazemi, F, Keikavoosi-Arani, L, Keller, C, Keykhaei, M, Khadembashiri, M, Khader, Y, Khafaie, M, Khajuria, H, Khalaji, A, Khamesipour, F, Khammarnia, M, Khan, M, Khan, Y, Suheb, M, Khanmohammadi, S, Khanna, T, Khatab, K, Khatatbeh, H, Khatatbeh, M, Khateri, S, Khatib, M, Khayat Kashani, H, Khonji, M, Khorashadizadeh, F, Khormali, M, Khubchandani, J, Kian, S, Kim, G, Kim, J, Kim, M, Kim, Y, Kimokoti, R, Kisa, A, Kisa, S, Kivimaki, M, Kochhar, S, Kolahi, A, Koly, K, Kompani, F, Koroshetz, W, Kosen, S, Kourosh Arami, M, Koyanagi, A, Kravchenko, M, Krishan, K, Krishnamoorthy, V, Defo, B, Kuddus, M, Kumar, A, Kumar, G, Kumar, M, Kumar, N, Kumsa, N, Kundu, S, Kurniasari, M, Kusuma, D, Kuttikkattu, A, Kyu, H, La Vecchia, C, Ladan, M, Lahariya, C, Laksono, T, Lal, D, Lallukka, T, Lam, J, Lami, F, Landires, I, Langguth, B, Lasrado, S, Latief, K, Latifinaibin, K, Lau, K, Laurens, M, Lawal, B, Le, L, Le, T, Ledda, C, Lee, M, Lee, S, Lee, W, Lee, Y, Leonardi, M, Lerango, T, Li, M, Li, W, Ligade, V, Lim, S, Linehan, C, Liu, C, Liu, J, Liu, W, Lo, C, Lo, W, Lobo, S, Logroscino, G, Lopes, G, Lopukhov, P, Lorenzovici, L, Lorkowski, S, Loureiro, J, Lubinda, J, Lucchetti, G, Saute, R, Ma, Z, Mabrok, M, Machoy, M, Madadizadeh, F, El Razek, M, Maghazachi, A, Maghbouli, N, Mahjoub, S, Mahmoudi, M, Majeed, A, Malagon-Rojas, J, Malakan Rad, E, Malhotra, K, Malik, A, Malik, I, Mallhi, T, Malta, D, Manilal, A, Mansouri, V, Mansournia, M, Marasini, B, Marateb, H, Maroufi, S, Martinez-Raga, J, Martini, S, Martins-Melo, F, Martorell, M, Marz, W, Marzo, R, Massano, J, Mathangasinghe, Y, Mathews, E, Maude, R, Maugeri, A, Maulik, P, Mayeli, M, Mazaheri, M, Mcalinden, C, Mcgrath, J, Meena, J, Mehndiratta, M, Mendez-Lopez, M, Mendoza, W, Mendoza-Cano, O, Menezes, R, Merati, M, Meretoja, A, Merkin, A, Mersha, A, Mestrovic, T, Mi, T, Miazgowski, T, Michalek, I, Mihretie, E, Minh, L, Mirfakhraie, R, Mirica, A, Mirrakhimov, E, Mirzaei, M, Misganaw, A, Misra, S, Mithra, P, Mizana, B, Mohamadkhani, A, Mohamed, N, Mohammadi, E, Mohammadi, H, Mohammadi, S, Mohammadshahi, M, Mohammed, M, Mohammed, S, Mohan, S, Mojiri-Forushani, H, Moka, N, Mokdad, A, Molinaro, S, Moller, H, Monasta, L, Moniruzzaman, M, Montazeri, F, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moraga, P, Morovatdar, N, Morrison, S, Mosapour, A, Mosser, J, Mossialos, E, Motaghinejad, M, Mousavi, P, Ehsan Mousavi, S, Mubarik, S, Muccioli, L, Mughal, F, Mukoro, G, Mulita, A, Mulita, F, Musaigwa, F, Mustafa, A, Mustafa, G, Muthu, S, Nagarajan, A, Naghavi, P, Naik, G, Nainu, F, Nair, T, Najmuldeen, H, Nakhostin Ansari, N, Nambi, G, Namdar Areshtanab, H, Nargus, S, Nascimento, B, Naser, A, Nashwan, A, Nasoori, H, Nasreldein, A, Natto, Z, Nauman, J, Nayak, B, Nazri-Panjaki, A, Negaresh, M, Negash, H, Negoi, I, Negoi, R, Negru, S, Nejadghaderi, S, Nematollahi, M, Nesbit, O, Newton, C, Nguyen, D, Nguyen, H, Nguyen, N, Nguyen, P, Nguyen, V, Niazi, R, Nikolouzakis, T, Niranjan, V, Nnyanzi, L, Noman, E, Noroozi, N, Norrving, B, Noubiap, J, Nri-Ezedi, C, Ntaios, G, Nunez-Samudio, V, Nurrika, D, Oancea, B, Odetokun, I, O'Donnell, M, Ogunsakin, R, Oguta, J, Oh, I, Okati-Aliabad, H, Okeke, S, Okekunle, A, Okonji, O, Okwute, P, Olagunju, A, Olaiya, M, Olana, M, Olatubi, M, Oliveira, G, Olufadewa, I, Olusanya, B, Bali, A, Ong, S, Onwujekwe, O, Ordak, M, Orji, A, Ortega-Altamirano, D, Osuagwu, U, Otstavnov, N, Otstavnov, S, Ouyahia, A, Owolabi, M, Mahesh Padukudru, P, Pacheco-Barrios, K, Padubidri, J, Pal, P, Palange, P, Palladino, C, Palladino, R, Palma-Alvarez, R, Pan, F, Panagiotakos, D, Panda-Jonas, S, Pandey, A, Pandian, J, Pangaribuan, H, Pantazopoulos, I, Pardhan, S, Parija, P, Parikh, R, Park, S, Parthasarathi, A, Pashaei, A, Patel, J, Patil, S, Patoulias, D, Pawar, S, Pedersini, P, Pensato, U, Pereira, D, Pereira, J, Pereira, M, Peres, M, Perico, N, Perna, S, Petcu, I, Petermann-Rocha, F, Pham, H, Phillips, M, Pinilla-Monsalve, G, Piradov, M, Plotnikov, E, Poddighe, D, Polat, B, Poluru, R, Pond, C, Poudel, G, Pouramini, A, Pourbagher-Shahri, A, Pourfridoni, M, Pourtaheri, N, Prakash, P, Prakash, S, Prakash, 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U., Pantazopoulos I., Pardhan S., Parija P. P., Parikh R. R., Park S., Parthasarathi A., Pashaei A., Patel J., Patil S., Patoulias D., Pawar S., Pedersini P., Pensato U., Pereira D. M., Pereira J., Pereira M. O., Peres M. F. P., Perico N., Perna S., Petcu I. -R., Petermann-Rocha F. E., Pham H. T., Phillips M. R., Pinilla-Monsalve G. D., Piradov M. A., Plotnikov E., Poddighe D., Polat B., Poluru R., Pond C. D., Poudel G. R., Pouramini A., Pourbagher-Shahri A. M., Pourfridoni M., Pourtaheri N., Prakash P. Y., Prakash S., Prakash V., Prates E. J. S., Pritchett N., Purnobasuki H., Qasim N. H., Qattea I., Qian G., Radhakrishnan V., Raee P., Shahraki H. R., Rafique I., Raggi A., Raghav P. R., Rahati M. M., Rahim F., Rahimi Z., Rahimifard M., Rahman M. O., Rahman M. H. U., Rahman M., Rahman M. A., Rahmani A. M., Rahmani S., Youshanlouei H. R., Rahmati M., Raj Moolambally S., Rajabpour-Sanati A., Ramadan H., Ramasamy S. K., Ramasubramani P., Ramazanu S., Rancic N., Rao I. R., Rao S. J., Rapaka D., Rashedi V., Rashid A. M., Rashidi M. -M., Rashidi Alavijeh M., Rasouli-Saravani A., Rawaf S., Razo C., Redwan E. M. M., Bana A. R., Remuzzi G., Rezaei N., Rezaeian M., Rhee T. G., Riad A., Robinson S. R., Rodrigues M., Rodriguez J. A. B., Roever L., Rogowski E. L. B., Romoli M., Ronfani L., Roy P., Pramanik K. R., Rubagotti E., Ruiz M. A., Russ T. C., Sunnerhagen K. S., Saad A. M. A., Saadatian Z., Saber K., SaberiKamarposhti M., Sacco S., Saddik B., Sadeghi E., Sadeghian S., Saeed U., Safdarian M., Safi S. Z., Sagar R., Sagoe D., Saheb Sharif-Askari F. S., Saheb Sharif-Askari N., Sahebkar A., Sahoo S. S., Sahraian M. A., Sajedi S. A., Sakshaug J. W., Saleh M. A., Salehi Omran H., Salem M. R., Salimi S., Samadi Kafil H., Samadzadeh S., Samargandy S., Samodra Y. L., Samuel V. P., Samy A. M., Sanadgol N., Sanjeev R. K., Sanmarchi F., Santomauro D. F., Santri I. N., Santric-Milicevic M. M., Saravanan A., Sarveazad A., Satpathy M., Saylan M., Sayyah M., Scarmeas N., Schlaich M. P., Schuermans A., Schwarzinger M., Schwebel D. C., Selvaraj S., Sendekie A. K., Sengupta P., Senthilkumaran S., Serban D., Sergindo M. T., Sethi Y., SeyedAlinaghi S., Seylani A., Shabani M., Shabany M., Shafie M., Shahabi S., Shahbandi A., Shahid S., Shahraki-Sanavi F., Shahsavari H. R., Shahwan M. J., Shaikh M. A., Shaji K. S., Sham S., Shama A. T. T., Shamim M. A., Shams-Beyranvand M., Shamsi M. A., Shanawaz M., Sharath M., Sharfaei S., Sharifan A., Sharma M., Sharma R., Shashamo B. B., Shayan M., Sheikhi R. A., Shekhar S., Shen J., Shenoy S. M., Shetty P. H., Shiferaw D. S., Shigematsu M., Shiri R., Shittu A., Shivakumar K. M., Shokri F., Shool S., Shorofi S. A., Shrestha S., Siankam Tankwanchi A. B., Siddig E. E., Sigfusdottir I. D., Silva J. P., Silva L. M. L. R., Sinaei E., Singh B. B., Singh G., Singh P., Singh S., Sirota S. B., Sivakumar S., Sohag A. A. M., Solanki R., Soleimani H., Solikhah S., Solomon Y., Song S., Song Y., Sotoudeh H., Spartalis M., Stark B. A., Starnes J. R., Starodubova A. V., Stein D. J., Steiner T. J., Stovner L. J., Suleman M., Abdulkader R. S., Sultana A., Sun J., Sunkersing D., Sunny A., Susianti H., Swain C. K., Szeto M. D., Tabares-Seisdedos R., Tabatabaei S. M., Tabatabai S., Tabish M., Taheri M., Tahvildari A., Tajbakhsh A., Tampa M., Lukenze Tamuzi J. J. L., Tan K. -K., Tang H., Tareke M., Tarigan I. U., Tat N. Y., Tat V. Y., Tavakoli Oliaee R., Tavangar S. M., Tavasol A., Tefera Y. M., Tehrani-Banihashemi A., Temesgen W. A., Temsah M. -H., Teramoto M., Tesfaye A. H., Tesfaye E. G., Tesler R., Thakali O., Thangaraju P., Thapa R., Thapar R., Thomas N. K., Thrift A. G., Ticoalu J. H. V., Tillawi T., Toghroli R., Tonelli M., Tovani-Palone M. R., Traini E., Tran N. M., Tran N. -H., Van Tran P., Tromans S. J., Truelsen T. C., Truyen T. T. T. T., Tsatsakis A., Tsegay G. M., Tsermpini E. E., Tualeka A. R., Tufa D. G., Ubah C. S., Udoakang A. J., Ulhaq I., Umair M., Umakanthan S., Umapathi K. K., Unim B., Unnikrishnan B., Vaithinathan A. G., Vakilian A., Tahbaz S. V., Valizadeh R., Van den Eynde J., Vart P., Varthya S. B., Vasankari T. J., Vaziri S., Vellingiri B., Venketasubramanian N., Verras G. -I., Vervoort D., Villafane J. H., Villani L., Veloz A. F. V., Viskadourou M., Vladimirov S. K., Vlassov V., Volovat S. R., Vu L. T., Vujcic I. S., Wagaye B., Waheed Y., Wahood W., Walde M. T., Wang F., Wang S., Wang Y., Wang Y. -P., Waqas M., Waris A., Weerakoon K. G., Weintraub R. G., Weldemariam A. H., Westerman R., Whisnant J. L., Wickramasinghe D. P., Wickramasinghe N. D., Willekens B., Wilner L. B., Winkler A. S., Wolfe C. D. A., Wu A. -M., Wulf Hanson S., Xu S., Xu X., Yadollahpour A., Yaghoubi S., Yahya G., Yamagishi K., Yang L., Yano Y., Yao Y., Yehualashet S. S., Yeshaneh A., Yesiltepe M., Yi S., Yigit A., Yigit V., Yon D. K., Yonemoto N., You Y., Younis M. Z., Yu C., Yusuf H., Zadey S., Zahedi M., Zakham F., Zaki N., Zali A., Zamagni G., Zand R., Zandieh G. G. Z., Zangiabadian M., Zarghami A., Zastrozhin M. S., Zeariya M. G. M., Zegeye Z. B., Zeukeng F., Zhai C., Zhang C., Zhang H., Zhang Y., Zhang Z. -J., Zhao H., Zhao Y., Zheng P., Zhou H., Zhu B., Zhumagaliuly A., Zielinska M., Zikarg Y. T., Zoladl M., Murray C. J. L., Ong K. L., Feigin V. L., Vos T., and Dua T.
- Abstract
Background: Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. Methods: We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous s
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- 2024
37. Modeling of Fuzzy Logic-Based Classification System Using the Gravitational Search Algorithm
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Jubair Ahmed, L., Anish Fathima, B., Dhanasekar, S., Martin Sagayam, K., Kacprzyk, Janusz, Series Editor, Kumar, Raghvendra, editor, Sharma, Rohit, editor, and Pattnaik, Prasant Kumar, editor
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- 2022
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38. Fog-Assisted Real-Time Coronary Heart Disease Risk Detection in IoT-Based Healthcare System
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Ahmed, L. Jubair, Anishfathima, B., Gokulavasan, B., Mahaboob, M., Chlamtac, Imrich, Series Editor, Haldorai, Anandakumar, editor, Ramu, Arulmurugan, editor, Mohanram, Sudha, editor, and Lu, Joan, editor
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- 2022
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39. Towards a classication of constant length substitution tiling spaces
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Al-Hindawe, Ahmed L. M., Clark, Alex, and Neumann, Frank
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510 - Abstract
We focus on families of hyperbolic attractors for diffeomorphisms of the solid surface of genus two which admit the structure of a substitution tiling space for a substitution of constant length. These spaces are similar to solenoids in that each one admits an almost one to one map onto a solenoid. In particular, we investigate a special class we call difference d substitutions. The simplest families, where d = 1, are very close to solenoids in that they can be considered as a solenoid with one path component replaced with a pair of asymptotic path components. Despite this close link to the underlying solenoid, their topological classification is considerably more complicated than those for solenoids, and there is more than one homeomorphism class of difference 1 substitution tiling space corresponding to the same n-adic solenoid. In particular, we show that two difference one constant length substitution tiling spaces arising from the substitutions θ and θ' are homeomorphic if and only if the shift on the subshift Ω is topologically conjugate to the shift on Ω0 or the inverse of the shift on Ω0 . Using the known classification of these shifts based on [15], this allows a complete classification of these families. We then carry out analysis with the general and more complex case where d > 1 . The three key elements in our analysis are a detailed analysis of a factor map onto a solenoid based on a construction of Coven and Keane and the classification at which they arrive [15], the structure of affine maps of solenoids and the rigidity of substitution tiling spaces determined by Barge, Swanson [7] and Kwapisz [20].
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- 2019
40. RETRACTED: Alhakamy et al. Thymoquinone-Loaded Soy-Phospholipid-Based Phytosomes Exhibit Anticancer Potential against Human Lung Cancer Cells. Pharmaceutics 2020, 12, 761
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Nabil A. Alhakamy, Shaimaa M. Badr-Eldin, Usama A. Fahmy, Nabil K. Alruwaili, Zuhier A. Awan, Giuseppe Caruso, Mohamed A. Alfaleh, Ahmed L. Alaofi, Faris O Arif, Osama A. A. Ahmed, and Adel F. Alghaith
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n/a ,Pharmacy and materia medica ,RS1-441 - Abstract
The journal retracts the article, “Thymoquinone-Loaded Soy-Phospholipid-Based Phytosomes Exhibit Anticancer Potential against Human Lung Cancer Cells” [...]
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- 2024
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41. Effect of Addition of Scandium in Filler Rod on Tungsten Inert Gas Welding of AA5052-H32 Alloy
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Nafeez Ahmed, L., Veeman, Dhinakaran, and Muthu, S. M.
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- 2022
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42. Development of epoxy resin-based microfluidic devices using CO2 laser ablation for DNA amplification point-of-care (POC) applications
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Mansour, Heba, Soliman, Emad A., El-Bab, Ahmed M. Fath, and Abdel-Mawgood, Ahmed L.
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- 2022
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43. AR-Assisted Children Book For Smart Teaching And Learning Of Turkish Alphabets
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Ahmed L. Alyousify and Ramadhan J. Mstafa
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Human computer interaction ,5G ,Augmented Reality ,IOT ,Turkish Alphabet ,Smart Teaching ,Computer engineering. Computer hardware ,TK7885-7895 - Abstract
Augmented reality (AR), virtual reality (VR), and remote-controlled devices are driving the need for a better 5G infrastructure to support faster data transmission. This paper emphasizes that mobile AR is a viable and widespread solution that can easily scale to millions of end-users and educators since it is lightweight, low-cost, and cross-platform. Low-efficiency smart devices and lengthy latency for real-time interactions via regular mobile networks are major barriers to using AR in education. The good news is that the upcoming 5G cellular networks can mitigate some of these issues via network slicing, device-to-device communication, and mobile edge computing. In this paper, we rely on technology to solve some of these problems. The proposed software monitors Image Targets on a printed book and renders 3D objects and alphabet models. In addition, the application considers phonetics. The sound (Phonetic) and 3D representation of the letter are played as soon as an image target is detected. The Turkish alphabet 3D models were created in Adobe Photoshop using Unity3D and the Vuforia SDK. The proposed application teaches Turkish alphabets and phonetics by using 3D object models, 3D letters, and 3D phrases including those letters and sounds.
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- 2022
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44. The Association of C-Reactive Protein and Ferritin Levels with the Severity of COVID-19 in Ajman, UAE
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Khulood Ghanim Obaid, Salah Eldin Omar Hussein, Ahmed L Osman, Noha Kamal Abdmomen, Marwan Ismail, Praveen Kumar Kandakurti, and Abdelgadir Alamin Altoum
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sars-cov-2 ,c-reactive protein ,ferritin ,Medicine - Abstract
Background: SARS-Cov-2, a new strain of coronavirus first identified in Wuhan city, China, has spread worldwide, causing severe illnesses and a high mortality rate. Many studies have shown the association of elevated levels of pro-inflammatory markers, such as ferritin and C-reactive protein (CRP), with the severe course of coronavirus disease The aim of this research was to investigate the association between CRP and ferritin levels, and the severity of COVID-19. Methods and Results: This cross-sectional study was performed in Thumbay Hospital, Ajman, United Arab Emirates, from January 2021 to October 2021. A total of 100 COVID-19 positive patients were included in this study. Serum CRP and ferritin were measured by immunoturbidimetric assay. We found statistically significant differences between ferritin levels and disease severity (P=0.005), age category (P=0.030), and the clinical wards (P=0.016). Statistically significant differences were found between the ferritin levels in mild to moderate cases (P=0.023) and mild to severe cases (P=0.007). There were significant differences in CRP in mild to moderate cases (P=0.012), and in mild to severe cases (P=0.000). Thus, the results obtained showed that CRP and ferritin levels are considerably greater in severe cases than in mild and moderate cases of COVID-19. The findings of the current study indicate that CRP and serum ferritin levels might be considered as an essential indication of the progression and severity of COVID-19.
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- 2022
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45. Copper(ii) complexes supported by modified azo-based ligands: Nucleic acid binding and molecular docking studies
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Tripathi Mamta, Asatkar Ashish Kumar, Antony Stalin, Dash Mrinal Kanti, Roymahapatra Gourisankar, Pande Rama, Sarkar Avijit, Aldakheel Fahad M., Binshaya Abdulkarim S., Alharthi Nahed S., Alaofi Ahmed L., Alqahtani Mohammed S., and Syed Rabbani
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azo ,copper(ii) complexes ,dft ,ct-dna ,t-rna ,molecular docking ,Chemistry ,QD1-999 - Abstract
Two new copper(ii) complexes [CuL1] (1) and [CuL2] (2) derived from azo-based ligands 2-hydroxy-5-p-tolylazo-benzaldehyde (HL1) and 1-(2-hydroxy-5-p-tolylazo-phenyl)-ethan-one (HL2) were synthesized. These two ligands and their metal complexes were characterized by elemental analysis, nuclear magnetic resonance (1H and 13C), infrared, and UV/Vis spectroscopic techniques. Spectroscopy and other theoretical studies reveal the geometry of copper complexes, and their binding affinity towards nucleic acids are major groove binding.
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- 2022
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46. AR-assisted children book for smart teaching and learning of Turkish alphabets
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Alyousify, Ahmed L. and Mstafa, Ramadhan J.
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- 2022
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47. In vitro Evaluation of the Antimicrobial Effect of Common UAE Natural Herbals on Different Gram-positive and Gram-negative Bacteria.
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Osman, Ahmed L., Kandakurti, Praveen Kumar, Mahmoud, Alaa A., Ahmed, Fadak Y., Azzam, Ibtisam J., Yahya, Shuroq A., and Shadroch, Devapriya Finney
- Subjects
- *
STREPTOCOCCUS agalactiae , *STREPTOCOCCUS pyogenes , *GRAM-positive bacteria , *GRAM-negative bacteria , *TREATMENT effectiveness , *KLEBSIELLA pneumoniae - Abstract
The main goal of this research is to assess the antibacterial effectiveness of commonly used UAE natural herbs, including Turmeric, Henna, Sidr, and Myrrh, against a range of bacteria such as Staphylococcus aureus, Streptococcus agalactiae (group B streptococci), Streptococcus pyogenes (group A streptococci), Escherichia coli, Enterococcus faecalis, Proteus mirabilis, Pseudomonas aeruginosa, and Klebsiella pneumoniae. Agar diffusion technique was utilized in this study. The herbs were extracted and prepared in serial dilution, a standardized amount of the test microorganisms were inoculated on the agar plates. Subsequently, extracted herbs were placed in the wells that formed on the surface of the media. The agar plates are then incubated at 37°C under appropriate condition. Typically, the herbs extract diffuses in the media, inhibiting the germination of the bacteria, the zone of inhibition is subsequently measured. Significant inhibitory effects were observed with henna herbal extract against 75% of Gram-positive bacteria, while 25% of the bacteria showed inhibition when using sidr extract. Myrrh exhibited an antibacterial effect against most tested bacteria. Comparatively less of an impact was seen by turmeric extract on both Gram-negative and Gram-positive. The antibacterial efficacy of the four plant extracts suggests that Henna displayed the highest effectiveness, followed by Sidr and Myrrh, with Turmeric showing the least potency. Additionally, strains such as E. coli, E. faecalis, P. aeruginosa, K. pneumoniae, and P. mirabilis demonstrated resistance to the plant extracts, while S. aureus, S. pyogenes, and S. agalactiae appeared to be the most susceptible strains. These findings underscore the potential of plant extracts in treating bacterial infections, offering insights for the development of novel compounds with enhanced activity against both resistant and susceptible bacteria, thereby addressing the limitations of current antibiotic agents. [ABSTRACT FROM AUTHOR]
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- 2024
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48. Non-linear Behavior of a Concrete Gravity Dam During Seismic Excitation: A Case Study of the Pine Flat Dam
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Enzell, J., Malm, R., Abbasiverki, R., Ahmed, L., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Bolzon, Gabriella, editor, Sterpi, Donatella, editor, Mazzà, Guido, editor, and Frigerio, Antonella, editor
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- 2021
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49. Retrofitting of hybrid concrete beams in shear using externally bounded CFRP sheets.
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Al-Hilfi, Ahmed L. A. and Al-Katib, Haider A. A.
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- *
CONCRETE beams , *RETROFITTING , *CONCRETE - Abstract
This study presents an experimental investigation into retrofitting of hybrid concrete beams using different levels of CFRP sheets with externally bounded technique. Seven hybrid concrete beams were cast with two different types of concrete, the compression zone was cast with high-strength self-consideration concrete while the tension zone was cast with normal-strength concrete. The seven beams were divided into two groups depending on the stage of load before the strengthening (0% or 65%) of the ultimate load, each group contained three beams, and one of the hybrid beams was considered as the control beam for the two groups. The experimental results show a good enhancement in the ultimate load and the first crack load of about (68.5%-133.3%) and (40%-50%) respectively, for beams that strengthened from zero, while the other group showed an improvement in the ultimate load and the first crack load of about (57.4%-103.7%) and (20%-60%), respectively. [ABSTRACT FROM AUTHOR]
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- 2024
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- View/download PDF
50. Improving hybrid concrete beams using CFRP sheets with outer borders.
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Al-Hilfi, Ahmed L. A. and Al-Katib, Haider A. A.
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- *
CONCRETE beams , *FAILURE mode & effects analysis , *CONCRETE - Abstract
This research paper presents an experimental study on the application of externally bonded CFRP sheets for the purpose of repairing hybrid concrete beams under flexural loads. The hybrid beams consisted of two different types of concrete: high-strength self-compacting concrete for the compression zone and normal-strength concrete for the tension zone. Six hybrid beams were cast and tested under two-point loads with a simply supported connection. One beam was a control, while the other five were loaded 65% of the ultimate load (66 kN), and then the load was released to zero. Each of the five cases was repaired using a series of sheets, ranging from one to three, placed in different locations and with varying numbers of layers. According to the findings of the investigation, there was a significant improvement in both the ultimate load (11.8%-65.7%) and the first crack load (25%-50%). Crack width, load deflection, and failure mode were some of the other parameters that were investigated. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
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