Author: "Shahzad A" / Database: Supplemental Index - Searchworks@Jio Institute Digital Library Search Results

3,545 results on '"Shahzad A"'

1. Kinetic-scale diagnostics of destabilization of electromagnetic electron whistler-cyclotron modes in the presence of hybrid non-thermal non-extensive electrons

Author: Bilal, Muhammad, Aman-ur-Rehman, Shahzad, Muhammad Ahsan, Sarfraz, Muhammad, and Mahmood, Shahzad
Abstract: Temperature anisotropies exist in all the solar terrestrial regions and act as a source of free energy that plays a pivotal role for the destabilization of various plasma modes, one of them is the electromagnetic electron whistler-cyclotron instability. In this paper, the kinetic-scale diagnostic of parallel propagating electromagnetic electron whistler-cyclotron instability is numerically investigated in hybrid non-thermal non-extensive non-collisional magnetized plasmas. The dielectric response function (DRF) of right handed circularly polarized whistler instability (WI) is derived by the incorporation of Vlasov–Maxwell model for both super-extensive (q<1, α≠0) and sub-extensive (q>1, α≠0) bi-Cairns–Tsallis distributed plasma (bi-CTDP) systems. The unstable solutions of WI are obtained through the exact numerical analysis of DRF to compute the oscillatory/real frequency and growth rate. The dependence of pertinent parameters, i.e., non-thermality (q), non-extensivity (α), temperature anisotropy ratio (δe) and (α,q)-dependent plasma beta (β∥eα,q), on the destabilization of whistler mode are examined in detail. The prevalence of hybrid non-thermal non-extensive electrons population plays a substantial role in altering the characteristics of whistler-cyclotron instability in bi-CTDP system as compared to other non-thermal/non-equilibrium plasma systems. The nature and characteristics of the instabilities and waves are substantially influenced by the shape of particle velocity distributions, particularly on kinetic scale. The hybrid non-thermal non-extensive character of electrons distribution remarkably support the instability growth. We observed the highest growth rate of WI in super-extensive bi-CTDP in contrast to other non-thermal plasma distributions. A detailed comparison of the present findings with the other models, e.g. bi-Cairns, bi-nonextensive, and bi-Maxwellian plasmas is also unveiled in the present research.
Published: 2024
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2. Efficient Catalytic Production of Reactive Oxygen Species through Piezoelectricity in Bismuth Sulfide Rich in Sulfur Vacancies.

Author: Zhou, Xiaofeng, Liu, Jinzhou, Ali, Shahzad, Shen, Bo, Zhai, Jiwei, Hedin, Niklas, and Yuan, Jiayin
Published: 2024
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3. Multi-scale and multi-path cascaded convolutional network for semantic segmentation of colorectal polyps.

Author: Manan, Malik Abdul, Feng, Jinchao, Yaqub, Muhammad, Ahmed, Shahzad, Imran, Syed Muhammad Ali, Chuhan, Imran Shabir, and Khan, Haroon Ahmed
Subjects: COLON polyps, CASCADE connections, COLORECTAL cancer, GASTROINTESTINAL system, CONFIDENCE intervals, ADENOMATOUS polyps
Abstract: Colorectal polyps are structural abnormalities of the gastrointestinal tract that can potentially become cancerous in some cases. The study introduces a novel framework for colorectal polyp segmentation named the Multi-Scale and Multi-Path Cascaded Convolution Network (MMCC-Net), aimed at addressing the limitations of existing models, such as inadequate spatial dependence representation and the absence of multi-level feature integration during the decoding stage by integrating multi-scale and multi-path cascaded convolutional techniques and enhances feature aggregation through dual attention modules, skip connections, and a feature enhancer. MMCC-Net achieves superior performance in identifying polyp areas at the pixel level. The Proposed MMCC-Net was tested across six public datasets and compared against eight SOTA models to demonstrate its efficiency in polyp segmentation. The MMCC-Net's performance shows Dice scores with confidence interval ranging between 77.43 ± 0.12, (77.08, 77.56) and 94.45 ± 0.12, (94.19, 94.71) and Mean Intersection over Union (MIoU) scores with confidence interval ranging from 72.71 ± 0.19, (72.20, 73.00) to 90.16 ± 0.16, (89.69, 90.53) on the six databases. These results highlight the model's potential as a powerful tool for accurate and efficient polyp segmentation, contributing to early detection and prevention strategies in colorectal cancer. [ABSTRACT FROM AUTHOR]
Published: 2024
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4. DRPO: A deep learning technique for drug response prediction in oncology cell lines.

Author: Shahzad, Muhammad, Kadani, Adila Zain Ul Abedin, Tahir, Muhammad Atif, Malick, Rauf Ahmed Shams, and Jiang, Richard
Subjects: STANDARD deviations, ESSENTIAL drugs, ANTINEOPLASTIC agents, DEEP learning, MATRIX decomposition
Abstract: With the invention of high-throughput screening technologies, innumerable drug sensitivity data for thousands of cancer cell lines and hundreds of compounds have been produced. Computational analysis of these data has opened a new horizon in the development of novel anti-cancer drugs. Previous deep-learning approaches to predict drug sensitivity showed drawbacks due to the casual integration of genomic features of cell lines and compound chemical features. The challenges addressed include the intricate interplay of diverse molecular features, interpretability of complex deep learning models, and the optimization of drug combinations for synergistic effects. Through the utilization of normalized discounted cumulative gain (NDCG) and root mean squared error (RMSE) as evaluation metrics, the models aim to concurrently assess the ranking quality of recommended drugs and the accuracy of predicted drug responses. The integration of the DRPO model into cancer drug response prediction not only tackles these challenges but also holds promise in facilitating more effective, personalized, and targeted cancer therapies. This paper proposes a new deep learning model, DRPO , for efficient integration of genomic and compound features in predicting the half maximal inhibitory concentrations (IC50). First, matrix factorization is used to map the drug and cell line into latent 'pharmacogenomic' space with cell line-specific predicted drug responses. Using these drug responses, we next obtained the essential drugs using a Normalized Discounted Cumulative Gain (NDCG) score. Finally, the essential drugs and genomic features are integrated to predict drug sensitivity using a deep model. Experimental results with RMSE 0.39 and NDCG 0.98 scores on Genomics of drug sensitivity in cancer (GDSC1) datasets show that our proposed approach has outperformed the previous approaches, including DeepDSC, CaDRRes, and KMBF. These good results show great potential to use our new model to discover novel anti-cancer drugs for precision medicine. [ABSTRACT FROM AUTHOR]
Published: 2024
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5. Convection driven flow between moving diska-A non-linear approach for modelling thermal radiation.

Author: Ali, Kashif, Ahmad, Anique, and Ahmad, Shahzad
Subjects: CONVECTIVE flow, HEAT radiation & absorption, NONLINEAR theories, HEAT exchangers, VISCOSIMETERS
Abstract: Flows involving two disks have significant applications in heat exchangers, rotating machinery parts, data storage devices, oceanography and viscometers. In this investigation, heat and mass transfer characteristics are examined in Casson flow between two orthogonally moving disks, with nonlinear thermal radiation under the slip and convective conditions, using the powerful tool of similarity transformation. A MATLAB code, based on quasi-linearization, has been developed for the numerical study. It is observed that, when the disks are receding, the disk expansion ratio raises the velocity profile near the center of the region between the two disks. The trend is, however, reversed when the disks are approaching each other. Moreover, all the governing parameters remarkably elevate the fluid temperature at a central region between the disks, for both cases. A remarkable lowering in concentration distribution is also noted with the Schmidt number and the chemical reaction parameter. Finally, compared to thermal and concentration profiles, it is the velocity distribution which is least affected. [ABSTRACT FROM AUTHOR]
Published: 2024
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6. IPC-CNN: A Robust Solution for Precise Brain Tumor Segmentation Using Improved Privacy-Preserving Collaborative Convolutional Neural Network.

Author: Raheem, Abdul, Zhen Yang, Haiyang Yu, Yaqub, Muhammad, Sabah, Fahad, Ahmed, Shahzad, Manan, Malik Abdul, and Chuhan, Imran Shabir
Subjects: CONVOLUTIONAL neural networks, GENERATIVE adversarial networks, BRAIN tumors, DISTRIBUTED computing, DIGITAL technology
Abstract: Brain tumors, characterized by uncontrollable cellular growths, are a significant global health challenge. Navigating the complexities of tumor identification due to their varied dimensions and positions, our research introduces enhanced methods for precise detection. Utilizing advanced learning techniques, we've improved early identification by preprocessing clinical dataset-derived images, augmenting them via a Generative Adversarial Network, and applying an Improved Privacy-Preserving Collaborative Convolutional Neural Network (IPC-CNN) for segmentation. Recognizing the critical importance of data security in today's digital era, our framework emphasizes the preservation of patient privacy. We evaluated the performance of our proposed model on the Figshare and BRATS 2018 datasets. By facilitating a collaborative model training environment across multiple healthcare institutions, we harness the power of distributed computing to securely aggregate model updates, ensuring individual data protection while leveraging collective expertise. Our IPC-CNN model achieved an accuracy of 99.40%, marking a notable advancement in brain tumor classification and offering invaluable insights for both the medical imaging and machine learning communities. [ABSTRACT FROM AUTHOR]
Published: 2024
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7. Efficacy of clove oil and rosewood oil as anesthetics on goldfish (Carassius auratus).

Author: Karim, Aasia, Mudassar Shahzad, Muhammad, Kamal, Khadija, Khwaja, Sobia, Ijaz, Ambreen, and Imtiaz, Samreen
Abstract: Anesthetics have an essential role in aquaculture operations because they minimize physical injury during various handling practices such as sampling, weighing, length measurement and tagging, which decreases stress on fish. Many fish farmers are involved in using alternative fish anesthetic agents with minimal side effects to life such as herbal essential oils. This study aims at investigating the efficacy of clove oil and rosewood oil as anesthetics on goldfish Carassius auratus. Anesthesia effect of both oils was tested in six different concentrations (i.e., 100, 150, 200, 250, 300 and 350 mg/l of water) on ten fish between 6–25 g weight and 9–14 cm length. The efficacy of both oils was assessed on the basis of the fish behavior. The induction time (min) was assessed by loss of swimming (LS), partial loss of equilibrium (PLE), final loss of equilibrium (FLE), and medullar collapse (Mc). The fish were observed for balance and response to a tactile stimulus in each treatment. Both clove oil and rosewood oil contributed well as anesthetics as they caused loss of equilibrium and swimming ability in the goldfish. In contrast, clove oil generated more rapid induction, prolonged recovery, and a narrow margin of safety. Fish farmers should use natural and environment friendly anesthetic agents instead of chemical ones, as they may alter negatively the growth and health of fish. [ABSTRACT FROM AUTHOR]
Published: 2024
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8. Exploring Medical Student Experiences of Trauma in the Emergency Department: Opportunities for Trauma-informed Medical Education.

Author: Appel, Giselle, Shahzad, Ahmed T., Reopelle, Kestrel, DiDonato, Stephen, Rusnack, Frances, and Papanagnou, Dimitrios
Published: 2024
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9. Long-term outcome of microvascular decompression for typical trigeminal neuralgia with autologous muscle: an analysis of 1025 patients from a developing country.

Author: Ashraf, Mohammad, Sajjad, Fauzia, Hussain, Syed Shahzad, Cheema, Huzaifa Ahmad, Ali, Sundus, Umar, Hira, Gillespie, Conor S., Faiz, Umar, Shahid, Abia, Akmal, Muhammad, and Ashraf, Naveed
Published: 2024
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10. Does institutional quality matter for central bank digital currency adoption?

Author: Umar, Muhammad, Shahzad, Fakhar, Iqbal, Amjad, and Tong, Fanghua
Subjects: ELECTRONIC money, ONLINE banking, RESEARCH personnel, INDEPENDENT variables, PROBABILITY theory
Abstract: This study investigates whether institutional quality influences the adoption of Central Bank Digital Currencies (CBDC). To address this question, data from 85 countries spanning from 2013 to 2021 was analysed. This study employs logistic, probit, and ordinary least squares regressions to assess the impact of the independent variables. The results indicate that institutional quality significantly affects CBDC adoption, with higher institutional quality associated with a greater likelihood of adoption. An in-depth analysis reveals that 'voice and accountability' is the most critical factor within the institutional indices that significantly explains CBDC adoption. A higher value for 'voice and accountability' correlates positively with a higher probability of CBDC adoption. The findings of this study hold important implications for researchers, analysts, and policymakers. [ABSTRACT FROM AUTHOR]
Published: 2024
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11. The role of antibiotic and drug allergies on adverse outcomes after shoulder arthroplasty: a nationwide database analysis of 153,384 patients.

Author: Stevens, Andrew J., Iyer, Amogh I., Bustamante, Galo C., Haber, Jordan, Patel, Akshar V., Barnett, John, Caraballo, Elizabeth, Shahzad, Hania, Cvetanovich, Gregory L., Bishop, Julie Y., and Rauck, Ryan C.
Subjects: DRUG allergy, ANTIBIOTICS, RISK assessment, PROSTHESIS-related infections, DESCRIPTIVE statistics, SURGICAL complications, LONGITUDINAL method, ODDS ratio, REOPERATION, REVERSE total shoulder replacement, SURGICAL site infections, CONFIDENCE intervals, DISEASE risk factors
Abstract: The goal of this study is to examine the impact of antibiotic and other drug allergies on the incidence of complications and revisions following shoulder arthroplasty (SA). Our hypothesis posits that patients with antibiotics or other drug allergies will have a higher rate of complications and revision surgeries following SA. All data collection involved utilizing the PearlDiver national database and Current Procedural Terminology code 23472 to identify individuals who had undergone primary anatomic or reverse SA within the period of 1/1/2010-10/31/2021. The initial population was categorized into three groups: patients with antibiotic allergies, patients with other drug allergies, and patients with no reported drug allergies. The two allergy groups were examined against the nonallergy group to draw comparisons concerning surgical complications, medical complications, and revision surgeries. The evaluation of complications took place at the 30 day and 90 day postoperative time points, while revisions were assessed at the 30 day, 1 year, 3 year, 5 year, and 10 year postoperative time points. This database study identified 153,384 patients (10,106 with antibiotic allergies, 16,982 with other drug allergies, and 126,296 with no allergies) who had received SA. Compared to patients without allergies, patients in both allergy cohorts were more likely to require revision surgery across all analyzed time points (P <.001). Patients with antibiotic allergies experienced higher rates of surgical site infections (SSI) (30 days: 1.0% vs. 0.8%, odds ratio 1.25 [95% confidence interval 1.02-1.53], P =.04; 90 days: 1.3% vs. 1.1%, 1.26 [1.06-1.51], P =.011) and prosthetic joint infections (30 days: 0.6% vs. 0.2%, 2.57 [2.06-3.27], P <.001; 90 days: 0.9% vs. 0.3%, 2.60 [2.06-3.27], P <.001) at both time points. Patients with allergies to other drugs were more likely to develop prosthetic joint infection (30 days: 0.6% vs. 0.2%, 2.57 [2.06-3.21], P <.001; 90 days: 0.8% vs. 0.3%, 2.51 [2.08-3.04], P <.001), but there was no statistical difference in SSI rates compared to patients without allergies (30 days: 0.9% vs. 0.8%, 1.10 [0.93-1.31], P =.279; 90 days: 1.2% vs. 1.1%, 1.16 [1.00-1.34], P =.055). Patients with antibiotic and other drug allergies demonstrated a higher likelihood of requiring revision surgery after undergoing SA. Patients with antibiotic allergies displayed an increased susceptibility to all complications analyzed apart from bleeding, while patients with other drug allergies displayed an increased susceptibility to all complications except for SSIs. [ABSTRACT FROM AUTHOR]
Published: 2024
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12. A systematic review and expert Delphi Consensus recommendation on the use of vaccines in patients receiving dupilumab: A position paper of the American College of Allergy, Asthma and Immunology.

Author: Lieberman, Jay A., Chu, Derek K., Ahmed, Tasnuva, Dribin, Timothy E., Abrams, Elissa M., Anagnostou, Aikaterini, Blumenthal, Kimberly G., Boguniewicz, Mark, Chase, Nicole M., Golden, David B.K., Hartog, Nicholas L., Heimall, Jennifer R., Ho, Tina, Lawrence, Monica G., Khan, David A., Minniear, Timothy Dean, Mustafa, S. Shahzad, Oppenheimer, John J., Phillips, Elizabeth J., and Ramsey, Allison
Published: 2024
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13. ChatGPT performance on the American Shoulder and Elbow Surgeons maintenance of certification exam.

Author: Fiedler, Benjamin, Azua, Eric N., Phillips, Todd, and Ahmed, Adil Shahzad
Abstract: While multiple studies have tested the ability of large language models (LLMs), such as ChatGPT, to pass standardized medical exams at different levels of training, LLMs have never been tested on surgical sub-specialty examinations, such as the American Shoulder and Elbow Surgeons (ASES) Maintenance of Certification (MOC). The purpose of this study was to compare results of ChatGPT 3.5, GPT-4, and fellowship-trained surgeons on the 2023 ASES MOC self-assessment exam. ChatGPT 3.5 and GPT-4 were subjected to the same set of text-only questions from the ASES MOC exam, and GPT-4 was additionally subjected to image-based MOC exam questions. Question responses from both models were compared against the correct answers. Performance of both models was compared to corresponding average human performance on the same question subsets. One sided proportional z-test were utilized to analyze data. Humans performed significantly better than Chat GPT 3.5 on exclusively text-based questions (76.4% vs. 60.8%, P =.044). Humans also performed significantly better than GPT 4 on image-based questions (73.9% vs. 53.2%, P =.019). There was no significant difference between humans and GPT 4 in text-based questions (76.4% vs. 66.7%, P =.136). Accounting for all questions, humans significantly outperformed GPT-4 (75.3% vs. 60.2%, P =.012). GPT-4 did not perform statistically significantly betterer than ChatGPT 3.5 on text-only questions (66.7% vs. 60.8%, P =.268). Although human performance was overall superior, ChatGPT demonstrated the capacity to analyze orthopedic information and answer specialty-specific questions on the ASES MOC exam for both text and image-based questions. With continued advancements in deep learning, LLMs may someday rival exam performance of fellowship-trained surgeons. [ABSTRACT FROM AUTHOR]
Published: 2024
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14. Neoadjuvant vs Adjuvant Chemoimmunotherapy for Stage II-IIIB Non-Small Cell Lung Cancer.

Author: Martins, Russell Seth, Razi, Syed Shahzad, Alnajar, Ahmed, Poulikidis, Kostantinos, Latif, M. Jawad, Luo, Jeffrey, and Bhora, Faiz Y.
Abstract: In patients with resectable non-small cell lung cancer (NSCLC), recent trials demonstrate survival benefit of chemoimmunotherapy over chemotherapy alone in both the neoadjuvant and adjuvant settings. To date, there is no direct comparison between neoadjuvant and adjuvant protocols. We compared neoadjuvant vs adjuvant chemoimmunotherapy for resectable stage II-IIIB NSCLC. We queried the National Cancer Database for patients who had undergone an operation for stage II-IIIB NSCLC and who had received neoadjuvant or adjuvant chemoimmunotherapy between 2015 and 2020. We used inverse probability weighting to adjust for confounding variables and used Kaplan-Meier survival curves and Cox regression to explore the relationship between treatment groups and overall survival (OS) at 3 years postoperatively. The inverse probability-weighted cohort represented 2119 weighted patient cases (neoadjuvant, 1034; adjuvant, 1085). Kaplan-Meier analysis demonstrated a significant OS benefit for neoadjuvant chemoimmunotherapy compared with adjuvant chemoimmunotherapy in the weighted cohort (3-year OS: 77% [95% CI, 71%-83%] vs 68% [95% CI, 64%-72%]; P =.035). On adjusted Cox regression, neoadjuvant chemoimmunotherapy was associated with a significant OS benefit (hazard ratio, 0.70; 95% CI, 0.50-0.96; P =.027). Among patients for whom pathologic stage data were available, 25% of patients receiving neoadjuvant chemoimmunotherapy had a pathologic complete response, with an additional 32.5% being downstaged. Neoadjuvant chemoimmunotherapy confers a significant OS benefit over adjuvant chemoimmunotherapy for patients with resectable stage II-IIIB NSCLC. Although randomized trials are needed to confirm our findings, strong consideration should be given to administering neoadjuvant chemoimmunotherapy to patients who are predetermined to receive systemic treatment. [Display omitted] [ABSTRACT FROM AUTHOR]
Published: 2024
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15. A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts

Author: Bravo, Laura, Simões, Joana FF, Cardoso, Victor R, Adisa, Adewale, Aguilera, Maria L, Arnaud, Alexis, Biccard, Bruce, Calvache, Jose, Chernbumroong, Saisakul, Elhadi, Muhammed, Ghosh, Dhruv, Gujjuri, Rohan, Harrison, Ewen, Ho, Michael WS, Kasivisvanathan, Veerappan, Kouli, Omar, Lederhuber, Hans, Li, Elizabeth, Löffler, Markus W, Isik, Arda, Marcus, Hani, Martin, Janet, McLean, Kenneth A, Minaya-Bravo, Ana, Modolo, María Marta, Nepogodiev, Dmitri, Pellino, Gianluca, Picciochi, Maria, Pockney, Peter, van Ramshorst, Gabriëlle, Riad, Aya, Sayyed, Raza, Sund, Malin, Gkoutos, Georgios, Bhangu, Aneel A, Glasbey, James C, Bravo, L, Cardoso, V, Glasbey, J, Chernbumroong, S, Nepogodiev, D, Simoes, JFF, Mclean, KA, Bhangu, AA, Gkoutos, G, Kadir, B, Omar, O, Revell, E, Bahrami-Hessari, M, Ahmed, Waheed-Ul-Rahman, Argus, Leah, Ball, Alasdair, Bhangu, Aneel, Bywater, Edward P, Blanco-Colino, Ruth, Brar, Amanpreet, Chaudhry, Daoud, Dawson, Brett E, Duran, Irani, Elhadi, Muhammed, Glasbey, James C, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Li, Elizabeth, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Nepogodiev, Dmitri, Norman, Lisa, Ots, Riinu, Outani, Oumaima, Picciochi, Maria, Santos, Irène, Shaw, Catherine, Taylor, Elliott H, Trout, Isobel M, Varghese, Chris, Venn, Mary L, Xu, William, Dajti, Irida, Gjata, Arben, Kacimi, Salah Eddine Oussama, Boccalatte, Luis, Modolo, Maria Marta, Cox, Daniel, Pockney, Peter, Aigner, Felix, Kronberger, Irmgard Elisabeth, Samadov, Elgun, Alderazi, Amer, Padmore, Greg, van Ramshorst, Gabrielle, Lawani, Ismaïl, Cerovac, Anis, Delibegovic, Samir, Baiocchi, Glauco, Gomes, Gustavo Mendonça Ataíde, Lima Buarque, Igor, Gohar, Muhammad, Slavchev, Mihail, Nwegbu, Chukwuemeka, Agarwal, Arnav, Brar, Amanpreet, Martin, Janet, Ng-Kamstra, Joshua, Olivos, Maricarmen, Lou, Wenhui, Ren, Dong-Lin, Calvache, Jose Andres, Perez Rivera, Carlos J-, Danic Hadzibegovic, Ana, Kopjar, Tomislav, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Klat, Jaroslav, Novysedlák, René, Amisi, Nicolas, Christensen, Peter, El-Hussuna, Alaa, Batista, Sylvia, Lincango-Naranjo, Eddy, Emile, Sameh, Arévalo Sandoval, Danilo Alfonso, Dhufera, Hailu, Hailu, Samuel, Mengesha, Mengistu G, Kauppila, Joonas H, Arnaud, Alexis P, Demetrashvili, Zaza, Albertsmeier, Markus, Lederhuber, Hans, Löffler, Markus W., Kwesi Acquah, Daniel, Ofori, Bernard, Tabiri, Stephen, Metallidis, Symeon, Tsoulfas, Georgios, Aguilera-Arevalo, Maria-Lorena, Recinos, Gustavo, Mersich, Tamás, Wettstein, Dániel, Ghosh, Dhruva, Kembuan, Gabriele, Brouki Milan, Peiman, Khosravi, Mohammad Hossein, Mozafari, Masoud, Hilmi, Ahmed, Mohan, Helen, Zmora, Oded, Gallo, Gaetano, Pata, Francesco, Pellino, Gianluca, Fujimoto, Yuki, Kuroda, Naoto, Satoi, Sohei, Abou Chaar, Mohamad K., Ayasra, Faris, Fakhradiyev, Ildar, Hamdun, Intisar Hisham Said, Jin-Young, Jang, Jamal, Mohammad, Karout, Lina, Elhadi, Muhammed, Gulla, Aiste, Rasoaherinomenjanahary, Fanjandrainy, Samison, Luc Hervé, Roslani, April Camilla, Durán Sánchez, Iran Irani, Gonzalez, Diana Samantha, Martinez, Laura, Martínez, María José, Nayen, Alejandra, Ramos-De la Medina, Antonio, Nunez, Jade, Outani, Oumaima, Nashidengo, Pueya Rashid, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Varghese, Chris, Wright, Deborah, Abdur-Rahman, Lukman, Ademuyiwa, Adesoji, Adisa, Adewale, Osinaike, Babatunde, Seyi-Olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Qureshi, Ahmad Uzair, Sayyed, Raza, Abo Mohsen, Mustafa, Abukhalaf, Sadi A., Cukier, Moises, Gomez-Fernandez, Hugo, Shu Yip, Sebastian, Vasquez Ojeda, Ximena Paola, Sacdalan, Marie Dione, Major, Piotr, Azevedo, José, Cunha, Miguel F., Zarour, Ahmad, Bonci, Eduard-Alexandru, Negoi, Ionut, Efetov, Sergey, Kochetkov, Viktor, Litvin, Andrey, Allen Ingabire, Jc, Bucyibaruta, Georges, Faustin, Ntirenganya, Habumuremyi, Sosthene, Imanishimwe, Alphonsine, Jean de Dieu, Haragirimana, Munyaneza, Emmanuel, Ncogoza, Isaie, Alameer, Ehab, Ndong, Abdourahmane, Radenkovic, Dejan, Chew, Min Hoe, Koh, Frederick, Ngu, James, Panyko, Arpád, Bele, Uros, Košir, Jurij Aleš, Daoud, Hassan, Blanco-Colino, Ruth, Minaya Bravo, Ana Maria, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam Essa Adam, Mohammed Elmujtba, Rutegård, Martin, Sund, Malin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Lohsiriwat, Varut, Charles, Shane, Isik, Arda, Leventoğlu, Sezai, Lekuya, Hervé Monka, Lule, Herman, Kopetskyi, Slava, Alsaadi, Hayder, Alshryda, Sattar, Alser, Osaid, Bankhead-Kendall, Brittany, Breen, Kerry, Kaafarani, Haytham, Mashbari, Hassan, Bonilla Cal, Fernando, Al-Naggar, Hamza, Maimbo, Mayaba, Mazingi, Dennis, Abbott, Tom, Adamina, Michel, Akhbari, Melika, Bhanderi, Shivam, Biccard, Bruce, Chakrabortee, Sohini, Costas-Chavarri, Ainhoa, Demetriades, Andreas K, Desai, Anant, Di Saverio, Salomone, Drake, Thomas, Edwards, John, Evans, Jonathan, Fiore, Marco, Ford, Samuel, Fotopoulou, Christina, Fowler, Alexander, Futaba, Kaori, Ganly, Ian, Grace James, Harelimana, Griffiths, Ewen, Hutchinson, Peter, Hyman, Gabriella Yael, Incorvia, Joseph, Jain, Ritu, Jenkinson, Michael, Khan, Tabassum, Knight, Stephen Richard, Kolias, Angelos, Kudsk-Iversen, Søren, Kwan, Tsun Yu, Leung, Elaine, Mayol, Julio, McKay, Siobhan, Meara, John G., Mills, Emily, Moug, Susan, Patel, Akshay, Perinotti, Roberto, Rice, Henry E., Roberts, Keith, Schache, Andrew, Shaw, Richard, Smart, Neil, Stephens, Matthew, Stewart, Grant D., Teasdale, Ella, Vidya, Raghavan, Wright, Naomi, Wuraola, Funmilola, Agastra, Ervis, Thereska, Dariel, Dajti, Irida, Lucchini, Sergio Martin, Laudani, Veronica, Boccalatte, Luis, Chwat, Carina, Pedraza Salazar, Ivana Ines, Pantoja Pachajoa, Diana Alejandra, Duro, Agustin, Calderón Arancibia, José Alfredo, Bright, Tim, Hollington, Paul, Zhou, Xuanyu, Kroon, Hidde M, Farfus, Anthony, Barker, John, Watson, Eleanor, Stevens, Sean, Latif, Haider, Dawson, Amanda Caroline, Chuan, Alwin, Muralidharan, Vijayaragavan, Wong, Enoch, Ackermann, Travis, Pacilli, Maurizio, Hodgson, Russell, Heriot, Alexander, Choong, Peter, Brown, Wendy, Lidder, Surjit, Yeung, Justin, Traeger, Luke, Regalo, Guillermo, Gourlay, Ralph, Pockney, Peter, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Rahman Mitul, Ashrarur, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, van Ramshorst, Gabrielle, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Sèmèvo Romaric, Lawani, Ismaïl, Cerovac, Anis, Vieira Barros, Aldo, Aguiar Júnior, Samuel, Baiocchi, Glauco, Campos, Heloisa Galvão do Amaral, Gross, Jefferson, José Fernandez Coimbra, Felipe, Kowalski, Luiz Paulo, Makdissi, Fabiana, Nakagawa, Suely, Pedreira Duprat Neto, Joao, Vartanian, Jose Guilherme, Yazbek, Guilherme, Zequi, Stenio C, Flumignan, Ronald, Slavchev, Mihail, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, Martin, Janet, Behzadi, Abdollah, Nessim, Carolyn, Mozel, Michelle, St-germain, Pascal, Russell, Crispin, Groot, Gary, Safieddine, Najib, Wijeysundera, Duminda, Eskander, Antoine, Chadi, Sami, MacKenzie, Shawn, Heredia, Fernando, Villanueva, Julio, Waissbluth, Sofia, Macchiavello, Roberto, Escudero, Mario I, Fuentes, Tyare, Mimica, Ximena, Olivos, Maricarmen, Bolivar Saenz, Dinimo, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Pedraza Alonso, Nestor Fabian, Ortiz Silva, Camilo, Perez Rivera, Carlos J-, Rodriguez, Juliana, Silva-Igua, Liliana, Torres, Martha Luz, Trujillo, Lina María, Nieto Calvache, Albaro José, Balanta-Melo, Julián, Figueroa - Casanova, Rafael, García-Montoya, Oscar-Julián, Marulanda Toro, Carlos Andres, Mendoza Arango, Maria Clara, Diaz Martinez, Eneida, Gutiérrez Perdomo, Valentina, Calvache, Jose Andres, Montenegro, Emileth, Mihanovic, Jakov, Avilés Jiménez, Pablo Mijahil, Gouvas, Nikolaos, Novysedlák, René, Rodriguez-Abreu, Julia, Lincango-Naranjo, Eddy, Abouelnagah, Galal, Shehata, Sameh, Hossam Eldin Fouad Rida, Ahmed, Hassan, Ramy A., Saad, Mahmoud M., Reda Loaloa, Mohamed, Mostafa, Badr, Qassem, Mohamed, Fahmy, Mohamed, Abozied, Hesham, Azzam, Ahmed Y, Ghozy, Sherief, Sallam, Asser, Shehta, Ahmed, Emile, Sameh, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Arévalo Sandoval, Danilo Alfonso, Abebe, Metasebia, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Hailu, Samuel, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Mengesha, Mengistu G, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, Kauppila, Joonas H, Testelin, Sylvie, Boucher, Sophie, Jouffret, Lionel, Lakkis, Zaher, Zarzavadjian Le Bian, Alban, Harper, Luke, Danguy des Déserts, Marc, André, Benoît, Slim, Karem, Verhaeghe, Romain, Police, Andrea, Girard, Edouard, Chebaro, Alexandre, Subayi Nkembi, Armande, Arnalsteen, Laurent, Ballouhey, Quentin, Mege, Diane, Jeandel, Clement, Duchalais, Emilie, Bouche, Pierre-Alban, Manceau, Gilles, Crétolle, Célia, Hervieux, Erik, Girard, Noémie, Seguin-Givelet, Agathe, Gaujoux, Sebastien, De Simone, Belinda, Boisson, Matthieu, Bergeat, Damien, Arnaud, Alexis P, Fredon, Fabien, Nappi, Francesco, Kassir, Radwan, Scalabre, Aurélien, Migliorelli, Federico, Ezanno, Anne-Cecile, Seeliger, Barbara, Vaysse, Charlotte, Charbonneau, Helene, Misrai, Vincent, Abbo, Olivier, Angeles, Martina Aida, Brunaud, Laurent, Demetrashvili, Zaza, Modabber, Ali, Wolf, Sebastian, Kamphues, Carsten, Höhn, Philipp, Glowka, Tim R., Rokohl, Alexander Christopher, Bork, Ulrich, Fluegen, Georg, Horch, Raymund E., Schmedding, Andrea, Schnitzbauer, Andreas, Eberbach, Helge, Schlager, Daniel, Spelsberg, Fritz, Keppler, Lena, Hecker, Andreas, Wolfer, Susanne, Ronellenfitsch, Ulrich, Nitschke, Christine, Peiper, Christian, Hakami, Ibrahim, Welter, Stefan, Nikolaieva, Karine, Roth, Andreas, Lindert, Judith, Gousias, Konstantinos, Rissmann, Anke, Linz, Valerie Catherine, Rahbari, Nuh, Rassweiler-Seyfried, Marie-Claire, Gut, Anna Eleonora, Gempt, Jens, Reim, Daniel, Wagner, Arthur, Albertsmeier, Markus, Keppler, Alexander M., Stoleriu, Mircea Gabriel, Saier, Tim, Stadler, Josef, Kaiser, Julia Christina, Brunner, Stefan M., Pfister, Karin, Herzberg, Jonas, Nowak, Kai, Reinhard, Tobias, Stavrou, Gregor A., Königsrainer, Alfred, Konrads, Christian, Quante, Markus, Laban, Simon, Pusch von, Silke, Hirschburger, Markus, Doerner, Johannes, Wiegering, Armin, Tampaki, Ekaterini Christina, Gutiérrez Ruiz, Alitza, Rodas, Alejandra, Portilla, Ana Lucía, Recinos, Gustavo, Aguilera-Arevalo, Maria-Lorena, Carrera, Jacqueline, Barrios Duarte, Amalia, Lowey, Megan, Barillas, Sabrina, Vaishnav, Dhaivat, Gorantlu Chowdappa, Raghunandan, Madabhavi, Irappa, Bhat, Dhananjaya, Kumar Venkatappa, Sunil, Thakar, Sumit, Jain, Kavitha, Kumar, Aruna, Nagar, Manoj, Mishra, Tushar, Sekar, Arunkumar, Gupta, Anand, Kaman, Lileswar, Karthigeyan, Madhivanan, Tripathi, Manjul, Rammohan, Ashwin, Othiyil vayoth, Sudheer, Rajanbabu, Anupama, Subbian, Anbukkani, Gupta, Rahul, Raut, Monish, Evelyn. R, Nissi, Kannaiyan, Lavanya, Matai, Dr. Anil, Misra, Sanjeev, Bhende, Vishal, Muthu, Sathish, Ghosh, Indranil, Sharma, Abhishek, Bajaj, Ankur, Rajan, Shiv, Agarwal, Gaurav, Pawar, Pranay, Alexander, Philip, Vijayakumar, M, Hameed, BM Zeeshan, L, Badareesh, Chaudhry, Navneet Kumar, Baliarsing, Lipika, Dharap, Satish, Kulkarni, Amruta, Thyavihally, Yuvaraja, Pramesh, C S, Soni, Rajesh, Dube, Surya Kumar, Sharma, Shilpa, Singh, Harvinder, Bains, Lovenish, Ghodke, Rahul, Kumar, Ashwani, Sodhai, Vivek, Maji, Suvendu, Basu, Somprakas, Mahakalkar, Chandrashekhar, Kannan, Ravi, Mehraj, Asif, N, Ranganath, Phadnis, Ashish, Yadev, I, Kavalakat, Alfie, Mittal, Rohin, Vallam, Karthik Chandra, Akhavizadegan, Hamed, Rezghi Maleki, Esmaeil, Yousefzadeh Kandevani, Naser, Ikele, Hilary, McNestry, Catherine, Fleming, Christina, O’Brien, Stephen, Abd Elwahab, Sami, Davis, Niall, Javadpour, Mohsen, McDonnell, Brendan, O Connor, Clare, Bolger, Jarlath, Clancy, Cillian, Croghan, Stefanie M, Donlon, Noel, Cullinane, Carolyn, Creavin, Ben, Muheilan, Muheilan, Earley, Helen, Kabir, Syed Mohammad Umar, Fahadullah, Muhammad, Ryan, Éanna, Connelly, Tara, Zmora, Oded, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., Ayasra, Faris, Qasem, Abdulrahman, Alawneh, Yazan, Ahmad, Amer, Aladawi, Omar, Alrayes, Bourhan, Haidar, Hanan, Husain, Shatha, Qassem, Faisal, Sumadi, Adnan, Al-Manaseer, Balqees Mahmoud, Alsunna, Zaid, Ra’ed, Hazim, Reyad Bani Hamad, Faten, Abuleil, Amro, Abou Chaar, Mohamad K., Jimaale, Elmi Ahmed Mohamed, Abu-Mehsen, Marah, Olaywah, Noor, Wafi, Omar, Ababneh, Hazim, Abu-Ismail, Luai, Khamees, Almu’atasim, Alkhatib, Ahmad, Bolatbekova, Raikhan, Kulimbet, Mukhtar, Nurgozhin, Talgat, Saliev, Timur, Zhussupov, Baurzhan, Almabayev, Ydyrys, Fakhradiyev, Ildar, Kaidarova, Dilyara, Tamoos, Khalil, Aqeelah, Ahmed, Khalefa mohammed, Alsnosy abdullah, Al maadany, Faraj, Alkadeeki, Ghadah, Gahwagi, Milad, Aldressi, Wafa, Amnaina, Mohamed, Alansari, Arowa hassan 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Okunlola, Abiodun, Williams, Omolara, Adisa, Adewale, Abdur-Rahman, Lukman, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty-John, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, Pejkova, Sofija, Stavridis, Sotir, Massoud, John George, Alsibai, Sareyah, Sultan, Rizwan, Altaf, Humera Naz, Bhatti, Abu Bakar Hafeez, Waqar, Shahzad Hussain, Aziz, Aliya, Kerawala, Asad Ali, Rai, Lajpat, Anwer, Mariyah, Tariq, Aiman, Ayub, Bushra, Niazi, Sami ullah, Naseem, Muhammad Yasir, Sarwar, Muhammad Zeeshan, Khokhar, Muhammad Imran, Zahid, Imdad Ahmad, Majid, Haroon Javaid, Talat, Nabila, Asif, Muhammad, Chaudhary, Muhammad Hamid, Farooq, Umer, Ahmad, Siddique, Mabood, Waleed, Bukhari, Syed Imran, Tariq, Muhammad, Yaqoob, Eesha, Javed, Saad, Usman Malik, Muhammad, Yaqoob, Hassan Nawaz, Cukier, Moises, Falcon Pacheco, Glenda Marina, Mas Melendez, Robinson, Paucar Urbina, Arazzelly Del Pilar, Rios Chiuyari, Jose, Otiniano Alvarado, Carlos Eduardo, Fuentes Rivera Lau, Lorena, 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Dimofte, Mihail-Gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Litvin, Andrey, Pykhteev, Vadim, Raevskaya, Marianna, Efetov, Sergey, Butyrskii, Aleksandr, Alshahrani, Mushabab, Althumairi, Azah, Alzerwi, Nasser, Al Ameer, Ahmed, Madkhali, Tariq, Abddulrahman, Ghazwani, Salman, Ayoub, Abdu, Iskander, Othman, Ghunaim, Mohammed, Alharthi, Mohammed, Alzaidi, Turki M, Alyami, Mohammad, Al Amri, Abdulrahman, AlFakhri, Abdullah, Alhefdhi, Amal, Chowdhury, Sharfuddin, Nouh, Thamer, Alshehri, Ameen, Alzahrani, Abdulrahman, Alalawi, Dr Yousef, Awad, Selmy, Konate, Ibrahima, Ndong, Abdourahmane, Tendeng, Jacques, Teo, Nan Zun, Koh, Frederick, Košir, Jurij Aleš, Bele, Uros, Aqil, Sabra, Barrena López, Cristina, Sánchez Mozo, Ana, Rodriguez Infante, Antonio, Caja Vivancos, Patricia, Prieto, Mikel, Alberdi San Roman, Igor, Gomez Fernandez, Laura, Muñoz Vives, Josep Maria, Carreras-Castañer, Anna, Díaz-Feijoo, Berta, Sieira-Gil, Ramon, Turrado-Rodriguez, Victor, Sánchez López, Anna, Sánchez-Cabús, Santiago, Jimenez Toscano, Marta, Canals Sin, MªPilar, Laura, Saura García, Martin Sole, Oriol, Palazon Bellver, Pedro, Pérez-Bertólez, Sonia, Prat-Ortells, Jordi, Riba Martínez, Mireia, Rubio-Palau, Josep, Tarrado, Xavier, Nuñez, Jorge, Alonso Mendoza, Veronica, Bescós, Coro, Espin-Basany, Eloy, Espinosa-Bravo, Martin, Gil-Sala, Daniel, González-Suárez, Susana, Montferrer Estruch, Nuria, Porteiro Mariño, Lucia, Rodríguez-Tesouro, Ana, Rojas Portilla, Fabian, Tormos Pérez, M Pilar, Vives, Inmaculada, Garcia De Cortazar, Unai, Tudela, Kiara, Landaluce-Olavarria, Aitor, Estaire Gómez, Mercedes, Almoguera, Jorge, Ugarte-Sierra, Bakarne, Jimenez, Virginia, Bertrand, Marta, Cárdenas Puiggrós, Laura, Delisau-Puig, Olga, Garcia-Adamez, Jorge, Julià Bergkvist, David, Maldonado-Marcos, Eloy, Diego García, Lucia, Roldón Golet, Marta, Soto-Darias, Iván, Rahy-Martín, Aida Cristina, Enjuto, Diego, Ramos-Luengo, Adolfo, Delgado Fernandez, Juan, Lugo Duarte, Carolina, Marquez, Lucila, Crego Vita, Diana, Dziakova, Jana, Minaya Bravo, Ana Maria, Caño Velasco, Jorge, Mateo-Sierra, Olga, Quintana-Villamandos, Begoña, Rey Valcarcel, Cristina, Rio, Javier, Román García de León, Laura, Di Martino, Marcello, Prada, Jorge, Serrano González, Javier, Losada, Manuel, Castell Gomez, Jose Tomas, Corripio-Sanchez, Ramon, Forero-Torres, Alexander, Morales-Puebla, José Manuel, Perez-Chrzanowska, Hanna, Valderrabano Gonzalez, Santiago, Yebes, Alvaro, Zapardiel, Ignacio, Diez Alonso, Manuel, Morales Palacios, Nelson, Cabañero Sánchez, Alberto, Sánchez Fernández, Fátima, Abad Gurumeta, Alfredo, Abad-Motos, Ane, Corella, Fernando, Ripollés-Melchor, Javier, Sanz-Gonzalez, Rosa, Alcaraz Fuentes, Marta, Fernández Martín, Maria Teresa, Calvo Espino, Pablo, Carrasco Prats, Milagros, Fernández-López, Antonio-José, García Escudero, Damián, Garcia Soria, Vanesa, Martínez Alonso, Jesús Aarón, Ruiz-Marín, Miguel, Gómez Pérez, Beatriz, Moya-Angeler, Joaquin, Fernández Martínez, Daniel, Llaquet Bayo, Heura, Colás-Ruiz, Enrique, Bella Romera, Susana, Ruiz Velasquez, Enrique Jose, Núñez, Bernardo, Jimenez, Raul, Zabaleta, Jon, González-Gimeno, Maria Jose, Ortega Vázquez, Irene, Perez Ferrer, Antonio, Martín-Láez, Rubén, Moreno Suarez, Marcelo, Freiria Eiras, Miguel Angel, Ramallo-Solís, Irene, Gomez-Rosado, Juan-Carlos, Oliver Guillen, Jose Ramon, Achalandabaso Boira, Mar, Catalá Bauset, Juan Carlos, Domenech, Julio, Badenes, Rafael, Bernal-Sprekelsen, Juan Carlos, Sancho-Muriel, Jorge, De Andrés-Asenjo, Beatriz, Tejero-Pintor, Francisco J, Vallve-Bernal, Marc, Vazquez Melero, Alba, Sánchez Blasco, Laura, Escartin, Jorge, Duque Mallén, Victoria, Srishankar, Selvaratnam, Jayarajah, Umesh, Sooriyabandara, Charitha, Basnayake, Oshan, Gunawansa, Nalaka, Wickramasinghe, Dakshitha, Weeraddana, Prabuth dulanjan, Vimalakanthan, Thanusan, Gishanthan, Shanthamoorthy, Chandrasinghe, Pramodh, Gialamas, Eleftherios, Sauvain, Marc-Olivier, Ghazal, Ahmad, Al-Sabbagh, Yusra, Alhassoun, Turki, Maa Albared, Sara, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, Isik, Arda, Francis Xaviour, Okedi, Turinawe, Gaston, Mubezi, Isaac, Sikakulya, Franck K., Kakeeto, Andrew, Kabweru, Dr. Wilberforce M., Lekuya, Hervé Monka, Kiweewa, Ronald, Lule, Herman, Matovu, Paul, Isaac, Otolia, Mashhour, Mohamed, El Helw, Amin, Alshryda, Sattar, Mohamed, Awadelkarim, Abbas, Ferial Mohamed Ali, Mohammed, Diary, Aldlyami, Ehab, Kundra, Rakesh, Michael, Antony Louis Rex, Alsaadi, Hayder, Khalil, Kareem S., Dbeis, Rachel, Shaikh, Shafaque, Ferry, Jenny, Jamal, Aiman, Siddique, Haleema, Das, Rishi, Ponugoti, Nikhil, Kamarajah, Sivesh K, Rattanasirivilai, Pornjittra, Sultana, Asma, Mosley, Frances, Chan, Matthew, Bateman, Antony, Davies-Jones, Gareth, Georgiades, Fanourios, Stewart, Grant D., Ahmadi, Navid, Coonar, Aman, Baig, Mariam, Khatri, Chetan, Surendran, Arthika, Sonksen, Julian, Sinnerton, Robert, Brennan, Caitlin, Gemma, Greenhalgh, Michael, Emerson, Hannah, Singisetti, Kiran, Totty, Joshua, Wilson, Michael, Lo, Terence, Corbett, Harriet, Okonkwo, Ijeoma, Arbane, Gill, El-Boghdadly, Kariem, Kerawala, Cyrus, Parmar, Chetan, Abbott, Tom, Bath, Michael, Odejinmi, Funlayo, Sagar, Jayesh, Talwar, Rishi, Newman, Samuel, Hammond, John, Moir, John, Duric, Natalie, Szakmany, Tamas, Iftikhar Talib, Ahmar, Youssef, Mina, Lewis-Lloyd, Christopher, Lami, Mariam, Ayub, Khurram, Dean, Benjamin, Balasubramanya, Supriya, Lakpriya, Sathya, Rogers, Luke, Turner, Paul, Maher, Mark, Sigamoney, Kohila, Edwards, John, El Kafsi, Jihène, Hardie, John, Johnson, David, Henein, Christin, Hollyman, Marianne, Agarwal, Ketan, Powell, Simon, Chauhan, Govind Singh, Patel, Rakesh, Gagnier, Joel, Carmichael, Heather, Olson, Kristofor A., Etchill, Eric, Incorvia, Joseph, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Kaafarani, Haytham, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Rice, Henry E., Kaups, Krista, 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Nagendra, Haque, Izhar-Ul, Herath, Matheesha, Kroon, Hidde M, Lim, Alicia, Moller, Cea-Cea, Neo, Eu Nice, Neo, Eu Ling, Russell, Christine, Tourani, Saam, Tran, Steven, Yin, Yijie, Watson, Matthew, Barker, John, Rugendyke, Anya, Watson, Eleanor, Sercombe, Ashleigh, Tee, Chin Li, Batstone, Martin, Field, Michael, Scott, Benjamin, Stevens, Sean, Charlton, Gabriella, Chen, Si, Gauri, Neha, Hayhurst, Ross, Jang, Seyoung, Zhang, Helen, Latif, Haider, Nagra, Sonal, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Bengeri, Savitha, Cheah, Hock Ping, Chen, Paul, Clark, Sara, Dawson, Amanda Caroline, Devan, Eliya, Fitt, Sophia, Gaul, John, Jolly, Danielle, Kane, James Dimitri, Kwok, Kelvin, Laura, Sharon, Lee, Vivian, Liang, Ina, Luo, Haili, Miles, Stephanie, Noor, Anthony, Simpson, Renwick, Cox, Aram, Thani, Nova, Egoroff, Natasha, Farik, Shebani, Moss, Jana-Lee, Wright, Deborah, Salama, Paul, Phan, Du, Townend, David, Chuan, Alwin, Barnett, Stephen, Hasan Kheslat, Hajar, Jamieson-Grigg, Chloe, Larner, Brett, Proud, David, Riddiough, Georgina, Seevanayagam, Sivendran, Zhao, Chris, An, Vinna, Drake, Anna, Hunt, Benjamin, Jain, Anshini, Lim, Christopher Seng Hong, Luck, Tara, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Tsigaras, Zac, Ward, Salena, Zhou, Jessie, Coates, Amy, Nataraja, Ramesh, Pacilli, Maurizio, Gillard, Andrew, Petrakis, Nikki, Qureshi, Maryum, Seow, Sean Ezekiel, Vivian-Taylor, Josephine, Wheatley, Jennifer, O’Connor, Brendan, Teague, Warwick, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Price, Veronique, Rowcroft, Alistair, Shaw, Kalai, Stark, Claire, Lauritz, Brianne, Ong, Chui Foong, Tang, Howard, Davis, Amelia, Peerally, Bibi Nabeeha, Aubin, Anne-Marie, Gourlay, Ralph, Lim, Zhi Ying, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Dale, Tyson, Duggal, Anchal, Ennis, Brendan, Fu, Yi Xin Joanna, Gani, Jonathan, Gelzinnis, Scott, Hadlow, Claudia, Hardstaff, Ruth, Lau, Wayne Yan, Liang, Hsin-Ping, Lim, Daniel, Mcilwain, Elysse, Ming, Yan Joyce, Ocsan, Ryan James, Organ, Nicole, Paterson, Amanda, Perez Cerdeira, Marisol, Ting, Caleb, Willoughby, Ellisha, Bailey, Ashley, Narayanan, Viswanathan, Wilkes, Anna, Zhao, Jie, D’Souza, Carl, Forbes, Clara, Haddleton, Monique, Mohammed Abdul, Naseer, Archer, Leigh, Dilevska, Tina, Hans, Tasvinder, Kumar, Mohit, Pham, Terence, Picazo Pineda, Fernando, Suk-Udom, Supisara, Jeyamanoharan, Nivedan, Sala, Michael, Dravid, Madhulika, McCartney, Conor, Sam, Apostolou, Christos, Berney, Christophe, Lam, Andrew, Ma, Vanessa, Cope, Jennifer, Llorando, Alyssa, Mahin, Humaira Haider, Putnis, Soni, Syed, Faisal, Ireland, Patrick, Zhu, Bonnie, Zitt, Matthias, Königsrainer, Ingmar, Allmer, Caterina, Mitteregger, Martin, Seitinger, Gerald, Duller, David, Mathew, Erwin, Skias, Christoph, Brinskelle, Petra, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Lindenmann, Joerg, Lumenta, David, Puchwein, Paul, Singer, Georg, Wolf, Axel, Arco, Daniel, Kilic, Nura, Widschwendter, Peter, Freyschlag, Christian, Graber, Michael, Hirsch, Jakob, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Osl, Antonia, Ower, Cornelia, Rauchegger, Teresa, Reimer, Daniel, Sokolovski, Filipp, Süss, Markus, Thaler, Martin, Zehetner, Claus, Allerstorfer, Jakob, Haslhofer, David, Pisecky, Lorenz, Poier, Nikolaus, Schmolmüller, Christoph, Zwittag, Paul, Windischbauer, Amadeus, Fischer, Ines, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Noe, Chiara, Borhanian, Kurosch, Emmanuel, Klaus, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Manzenreiter, Lisa, Schredl, Philipp, Weitzendorfer, Michael, Gruber, Michaela, Grünbart, Martin, Kemmetinger, Vanessa, Mosshammer, Victoria, Schaetz, Tobias, Lanner, Maximilian, Binder, Alf-Dorian, Bernardi, Martin H., Dawoud, Christopher, Foessleitner, Philipp, Grimm, Christoph, Pesta, Maximilian, Pillerstorff, Robert, Riss, Stefan, Scheriau, Georg, Fisus, Andreea, Ruiss, Manuel, Meindl, Nikolaus, Primavesi, Florian, Steiner, Florian, Falkensammer, Eva, Knotzer, Hans, Trivik-Barrientos, Felipe, Alam, Mahmood, Haider, Fayza, Mulla, Husain, Qader, Kawthar, Shirazi, Ahmed, Juma, Isam, Waheed Akbar Mohamad Akbar Nawab Deen, Fatema, AbdulQadir, Seemal, Jabr, Abdulla, Almoosa, Noora, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, S.M. Nazmul, Khan, Sadia, Mannan, Iftekhar Ibne, Corbin, Sasha, O’Shea, Margaret, Phillips, Emil, Straltsov, Vladislav, Lyzikov, Alexei, Borges, Mafalda, Vleminckx, Nils, Bontinck, Julie, Van Haver, Anne-Sophie, Cappeliez, Serge, Pigeolet, Manon, Viste, Claire, Van Daele, Elke, Jansen, Yanina, Messaoudi, Nouredin, Ruyssers, Michael, Schoneveld, Martijn, Van Eetvelde, Ellen, Oosterlinck, Wouter, Flamey, Nicolas, Akpla, Marcellin, Agossou, Hermann, Aouagbe Behanzin, Hulrich, Agbadebo, Mouhamed, Yome, Hugues, Boukari, Alassan, Amossou, Labissi Francois, Dossou, Francis, Boras, Miran, Čuljak Blagojević, Ivana, Gunaric, Filip, Letica, Ludvig, Martinovic, Vlatka, Miskovic, Josip, Rastović, Pejana, Sesar, Irena, Favaretto Filho, Rodolfo Jose, Rodrigues, Rodrigo, Schalge Campioto, Débora, Alonso, Nivaldo, Fernandes Rezende, Ricardo, Marson, Fernando Augusto Lima, Accorsi Neto, Alfeu, Accorsi, Guilherme, Machareth, Camila, Viegas Moura, Barbara, Guarienti, Luciano, Becker, Karin, Dias, Andre, Girardi Fachin, Camila, Stychnicki, Adriano Seikiti, Avelino, Melissa, Lima Buarque, Igor, Francisca, Elaine, Amorim, Robson, Bellotti Leão, Maria Eduarda, Melo da Camara, Isabelle, Silva Junior, Rubem Alves, Soares Da Silva Menezes, Agna, Cavazzola, Leandro Totti, Roloff Cardoso, Guilherme, Silva Neto, Brasil, Soares, Tilaê, Guerra, Enilde Eloena, Salem, Moacyr, de Campos Prado, Caio Antonio, Zani, Ana Carolina Tagliatti, Lourenço Gomes dos Santos, Carolina, Quintana, Silvana Maria, Veccechi Bijos Zaccaro, Marília, Lima, Leonardo, da Cunha Viana Júnior, Alonço, Trindade Martins, Isabela, R Oliveira, Priscila, Schmitz Nunes, Kamilla, Abdallah, Emne, Aguiar Júnior, Samuel, Baiocchi, Glauco, Campos, Heloisa Galvão do Amaral, Facure, Luciana, Kupper, Bruna, Leite, Fernanda, Marques, Narimã, Nakagawa, Suely, Scintini Herbst, Ana Carolina, Soares Dos Santos, Silvana, Vartanian, Jose Guilherme, Zequi, Stenio C, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Pansani, Adrieli, Simonsen, Marcelo, Tsuchiya, Daniela, Vasconcelos, Vladimir, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Sigoli Pereira, Thiago Henrique, Volpe, Gustavo Jardim, Nardi, Caroline, Braz de Oliveira, Layze, Ribeiro, Ivonizete Pires, Sousa, Álvaro Francisco Lopes de, Freitas, Marcelo Augusto Faria, Rodrigues da Cunha, Juliano, Dimitrov, Dobromir, Gohar, Muhammad, Gyokova, Elitsa, Neykov, Vasil, Atanasov, Boyko, Slavchev, Mihail, Kamenova, Paolina, Yotsov, Tsanko, Spassov, Kolyo, Tsankov, Tsanko, Brown, James, Bali, Krittika, Bigam, David, Dajani, Khaled, Dell, Angela, Hong, Dennis, Luketic, Lea, Mayer, Robert, McGee, Jacob, Yang, Homer, Behzadi, Abdollah, Brar, Amanpreet, Hanson, Melissa, Hopkins, Brent, Merchant, Richard, Mozel, Michelle, Belzile, Etienne, Boucher-Kovalik, Sofia, Corriveau-Durand, Simon, Cote, Mathieu, Côté, Mathilde, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Gosselin, Karo, Maheux-Lacroix, Sarah, Nadeau, Sylvie, Nguyen, Sebastien, Pelet, Stéphane, Groot, Gary, Wood, Melissa, Atrey, Amit, Ellenbogen, Yosef, Kellett, Sorcha, Suresh, Hrishikesh, Eskander, Antoine, Gentili, Fred, St. Jacques, Leslie, Tabasinejad, Raha, Hsiao, Marvin, MacKenzie, Shawn, Broe, Claire, Grey, Rebecca, Lindberg, Andrew, Mata Gutierrez, Juan, Phillips, Drew, Heredia, Fernando, Fernández, Esteban, Ochoa Gaete, Katherine, Sandoval Tobar, Mauricio, Reyes, José Tomás, Rivera, Barbara, Cohn, David, Recabal, Pedro, Sandoval, Camilo, Pincheira, Camila, Torres, Janina, Valenzuela, Marco, Yang, Kun, Zhang, Yuexin, Cunchuan, Wang, Yang, Wah, Liang, Tingbo, Caicedo, Camilo, Perez Granados, Carolina, Luna, Joaquin, Serrano, Oscar, Ortiz Silva, Camilo, Vega Calvera, Andrea Juliana, Acosta Buitrago, Lina M., Cabrera Rivera, Paulo Andrés, Cormane Alfaro, Valeria, Guerrero-Becerra, Albert Franz, Kadamani Abiyomaa, Akram, Polanía Sandoval, Camilo Andrés, Roman Ortega, Carlos Fernando, Téllez, Manuela, Arias-Amézquita, Fernando, Escorcia, Elkin, Herrera-Almario, Gabriel, Monsalve, Guillermo, Caicedo Giraldo, María Alejandra, Castillo Florez, Maria Carolina, Cendales, María Angelica, Daniel, Mario, Espitia, Hernando, Navarro, Juan Carlos, Parra Abaunza, Katherine, Pulido, Eliana, Riveros Castillo, William Mauricio, Rubiano, Wilson, Salgado Tovar, Javier Mauricio, Trillos, Marcial, Villate leon, Juan pablo, Becerra Mendez, Luis, Beltran, Rafael Jose, Calderon Quiroz, Pedro Hernando, Cervera Bonilla, Sergio, Garcia Mora, Mauricio, Mariño, Ivan, Pinilla Morales, Raúl Eduardo, Puerto, Angela, Quintero-Ortíz, Ma. Andrea, Suarez, Raul, Velez Bernal, Jorge Luis, Camargo Gómez, Daniela, kammerer, Christian, Acuna Saravia, Maria Fernanda, Arroyave, Roberto, Barreto Angulo, Jose Maria, Dueñas-Ramirez, Juan Carlos, Escobar Vidarte, Oscar Andres, Gomez, Laura, Gomez, Alejandro, Herrera Castañeda, Enrique, Hinaoui, Marisol, Idrobo Escobar, Anuar Armando, Llanos Lucero, Carlos Antonio, Montoya Casella, Antonio José, Perea Serna, Andrea Carolina, Ríos-Samper, Gabriel, Sandoval, John, Sarmiento Ramirez, Guillermo Alberto, Zuluaga Zuluaga, Mauricio, Figueroa, Juan Sebastian, Gonzalez Mosos, Maria Fernanda, Jaramillo Roncancio, Juan Jose, Mosos, Monica, Ramirez, Juan Sebastian, Idarraga Ramírez, Leidy Natalia, Marin Gonzalez, Ana Maria, Mejia, David Alejandro, Vanegas, Luis Emiro, Aruachan Vesga, Sandra, Diaz Martinez, Eneida, Martinez Estrada, Gustavo Antonio, Giraldo Velasquez, Angela Maria, Tovar, Jesus Hernan, Tovar, German Alirio, Buesaquillo, Christian Ali, Olave Montaño, Victor David, Montenegro, Emileth, Genda, Eben-ezer, Eboma, Fabrice, Grulović, Karlo, Bosak Versic, Ana, Srsen Medancic, Suzana, Brkic, Lucija, Cokarić, Sara, Tomić, Josipa, Brzic, Domagoj, Dijan, Emilio, Grgec Dragicevic, Maja, Konjevoda, Suzana, Morović, Domagoj, Perišić, Gordan, Zuzul, Matea, Anzic, Srdan Ante, Carevic, Iva, Biočina, Bojan, Bobovec, Dino, Bumber, Boris, Duric Vukovic, Katarina, Jelčić, Ivan, Kastelan, Zeljko, Kolak, Juraj, Pasini, Miram, Penezić, Luka, Prstacic, Ratko, Romić, Ivan, Tomic, Mislav, Luksic, Ivica, Avilés Jiménez, Pablo Mijahil, Panayiotou, Yiannis, Stavrinidou, Olga, Yiallourou, Anneza, Michal, Burda, Lukáš, Gawel, Wladyslaw B., Lerch, Milan, Macečková, Nicole, Simetka, Ondrej, Vavra, Petr, Zelenik, Karol, Přibyl, Martin, Klíma, Karel, Pirmorad, Setareh, Hotová, Zuzana, Mladěnka, Aleš, Bozo, Nulvin, Hviid, Louise, Kristensen, Helle Ø, Paulsen, Laerke, Ebbehøj, Anders Lyng, Jönsson, Maria Lovisa, Krarup, Peter-Martin, Otte, Helena, Smith, Henry, Bælum, Jens Kristian, Ellebæk, Signe Bremholm, Batista, Sylvia, Collado Expósito, María Mabel, Crespo, Aldo, D’óleo García, Claudio Samuel, Figueroa, Jatnna, Garcia-Dubus Rodriguez, U, Guzman, Lillian, Lopez, Ariela, Maletta Francisco, Leeany, Munoz, Herisardy, Perez Fernandez, Maricely Ambar, Rodríguez, Ada, Soto, Joel, Ubinas, Raul, Villegas, Aaron, Acra-Tolari, Ricardo, Beltran, Larissa, Betances, Luis Fernand, Díaz Vásquez, Pedro Pablo, Fernandez, Damaris, Figueroa Germosen, Jiomar Manuel, Mejia De la Cruz, Dolores, Ortiz De La Cruz, Fabio, Pelletier, Gabriela, Próspero Enrique, Rodriguez Pumarol, Suero Almanzar, Irina, Lincango-Naranjo, Eddy, Negrete Ocampo, José Ricardo, Sallam, Ibrahim, Sherief, Mohamed, Abdou, Mostafa, Abo Shanab, Ahmed, Abodeeb, Aya, Aboelkhel, Roger, Abosamak, Nour Eldin, Abouelnagah, Yossof, Adel, Dina, Ahmed, Sara, Alberkamy, Abdelrahman, Ali, Ahmed, Ashraf, Olfat, Darwish, Sara, El kharashy, Rasha, Elbadawy, Seifeldin, Elsaka, Alromisaa, Ewedah, Moataz, Ezz, Yara, Gadelrab, Ziyad, Hafez, Nour, Hafez, Youssef, Hassanin, Mohamed, Hussein Aly Salama Aly, Hamza, Ibrahim, Abdelrahman, Mahmoud Abo shabana, Alaa, Mourad, Mohamed, Mubarek, Kamilia, Omar, Samaa, Ragal, Marawan, Romany, John, Salem, Alaa, Samir Abdelaal, Ahmed, Shehata, Sameh, Shehata, Abdelrahman, Shenit, Karim, Yehia, Nermin, Khaled Mohamed Eid, Omar, Ibrahim Elsayed, Omar, Shehata, Mostafa Ahmed, Abd El-Ghani, Wael, Abd Elazeem, Hossam Aldein S., Abdalla, Shimaa, Abdel-Aleem, Mahmoud, Abdelfattah, Mahmoud, Abdelhafez, Mohammed, Abdelkarem, Mohamed M., Abubeih, Hossam, Ahmed, Nagm Eldin Abu Elnga, Ahmed, Ahmed, Ahmed Saad, Sarah, Ali, Abdelrahman Ahmed Abdelrahman, Elmaghraby, Khaled, Elsdfy, Shady, Eltayeb, Almoutaz, Essam, Esraa, Gadelkareem, Rabea, Ghoneim, Ahmed, Hamada Takrouney, Mohammed, Hasan, Ahmad, Hassanin, Mohamed Abdelghafor, Mahran, Wesam, Mahrous, Doha, Ragab, Abdelrahman, Sabry, Aya, Safwat, Hadeer, Saleh, Ahmed, Samir, Ahmed, Sayed, Esraa, Taher, Mohamed Gamal, Yousof, Ebrahim Ahmed, Youssef, Ahmed, Zein Elabedeen, Omar, Ali, Samar, Elbehairy, Gehad, Eleisawy, Mahmoud, Elgendy, Abdelrahman, Elhawary, Rewan, Hamdy, Mahmoud, Hassan, Gehad, Nowar, Mostafa, Sabry, Hesham, Tarek Said-elnaby, Ahmed, Zahed, Mohamed, Zahran, Mohamed, Zoghary, Ahmed Zaki, Atef, Mohamed, Abdelhamid, Mahmoud Hossameldin Saad, El Fiky, Lobna, ElGarhy, Ibrahim, Qassem, Mohamed, Wahba, Abdelrahman, Youssif Omar Fouad, Omar, Abdelsamed, Ahmed, Elsalhy, Mohamed, Eldesouky, Omnia, Wael Mostafa Khalil Bahi, Abdullah, Tawheed, Ahmed, Al-oribi, Saeid, Aly, Nuran Khaled, ElFiky, Mahmoud, Nabil, Ahmed, Samir Farahat, Ahmed, Soliman, Mostafa, Ghaly, Galal, Abbas, Alzhraa Salah, Ibraheem, Maher, Bakry, Abdelrahman, Jammal, Mohamed, M Makram, Abdelrahman, Adel abdelaty, Ahmed, Fayad, Elsayed A., Sallam, Moataz, Shehta, Ahmed, Elfeki, Hossam, Elsaid, Mahmoud, Mostafa, Mohamed, Sakr, Ahmed, Shetiwy, Mohamed, Tawakl, Noura, Yunes, Asmaa, Atallah, Khalid, Shetiwy, Mosab, Abdelmawla, Ahmed, Abdrabou, Ahmed, Abubakr, Asmaa, Al Gohary, Rawda, Elsabagh, Alaa, Elshabrawy, Enas, Hafez, Ahmed, Mikhail, Pola, Mohamed, Mervat, Nada, Ahmed, Omran, Janna, Salem, Osama, Selim, Salma, Shalaby, Ghada, Wahbah, Mahmoud, Zakaria Abdelbary, Eman, Zayan, Ahmad Helmy, Afify, Abdelrahman, Mohamed Ahmed, Mostafa, Abdeldayem, Hesham, Abdelkader Salama, Ibrahim, Ammar, Khaled, Ayoub, Islam, Gad, Emad Hamdy, Hammad, Essam, Macshut, Mahmoud, Sherif, Ahmed Elshawadfy, Shoreem, Hany, Soliman, Hossam Eldeen, Eldaly, Abdullah, Mashaly, Sarah, Abd-Elsalam, Sherief, Abdel-Elsalam, Wafaa, Morsy, Mohamed Sherif, Nasreddin, Mohammed, Sarsik, Sameh, Kams, Liisa, Rätsep, Tõnu, Riips, Karolin, Abebe, Kirubel, Asfaw, Fitsum, Eshete, Mahder, Gedefaw, Yetsedaw, Menjeta, Abeje, Muleta, Mahteme Bekele, Sefera, Sena, Teklu, Daniel, Tirfe, Leake, Worku, Bereket, Eado, Yegeremu, Negussie, Abraham, Woldemariam, Mersha Abebe, Alemu, Megersa, Azmach, Dawit, Mamo, Dr.Mickyas, Menkir, Abel, Woldemariam, Dereje, Wubishet, Estifanos, Supha, Melka, Abebe, Nebyou, Chanie, Abera, Gebre, Hiwot, Laeke, Tsegazeab, Mammo, Tihitena Negussie, Sahlu, Abat, Tiruneh, Abraham Genetu, Zewdneh, Betelhem, Fentaw, Jibril, Tabore, Ketema, Addisalem, Abreha, Tassew, Abdissa, Desalegn, Tesfaw, Mequannet, Asmamaw, Dawit, Bedane, Dereje, Bekele, Ephrem, Getie, Aderaw, Girma, Adissu, Shimelash, Dagim, Ayalew, Tewabe, Kassahun, Berhanu, Mulugeta, Esubalew, Sisay, Silamlak, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, Derilo, Habtamu, Eliyas, Nebiyu, Deressa, Yadani, Melese, Lemi, Muleta, Lemesa, Teshome, Abraham, Tesso, Birhanu, Gebrekirstos, Dr.Gebreagziabher, Pitkänen, Joel, Qian, Cheng, Sinikumpu, Jaakko, Dakpé, Stéphanie, Devauchelle, Bernard, Lavagen, Nolwenn, Bastard, François, Bin, Kim, Moukoko, Didier, Alshawared, Fadi, Beyrne, Carlos Daniel, Lugans, Laurene, Doussot, Alexandre, Onorati, Ilaria, Radu, Dana, André, Benoît, Marion, Herjean, Trilling, Bertrand, Boleslawski, Emmanuel, Noiret, Barbara, Aubry, Estelle, Subayi Nkembi, Armande, Christou, Niki, Usseglio, Julie, Jeandel, Clement, Denis, Waast, Duchalais, Emilie, Regenet, Nicolas, Rigaud, Jerome, Anract, Philippe, Dohan, Anthony, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Crétolle, Célia, Thouement, Clermidi, Pauline, Hervieux, Erik, Langlais, Tristan, Leonelli, Lorenzo, Thomin, Anne, Athiel, Yoann, Cathala, Nathalie, Levy-Zauberman, Yael, Macek, Petr, Mombet, Annick, Ollat, Didier, Fabrice, Chartier-Kastler, Emmanuel, Chereau, Nathalie, Melot, Charlotte, Turco, Célia, Chouillard, Elie, Boisson, Matthieu, Frasca, Denis, Livin, Marie, Mahmoud, Fedy, Sulpice, Laurent, Arnaud, Alexis P, Cazemajou, Clément Thierry, Nyangoh Timoh, Krystel, Renault, Annaëlle, Nappi, Francesco, Ezanno, Anne-Cecile, Cherkaoui, Zineb, Vix, Michel, Gornes, Hugo, Berthoumieu, Pierre, Misrai, Vincent, Pierre, Trocard, Angeles, Martina Aida, Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, Modabber, Ali, Schäfer, Benedikt, Wallqvist, Julia, Ziemann, Sebastian, Anthuber, Matthias, Broecheler, Tobias, Goßlau, Yvonne, Maksymiw, Florian, Sommer, Florian, Sommer, Björn, Loch, Florian N, Aghalarov, Ilgar, Braumann, Chris, Höhn, Philipp, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Bork, Ulrich, Meisel, Cornelia, Petzold, Andrea, Fluegen, Georg, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Schnitzbauer, Andreas, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Schlager, Daniel, Strähle, Jakob, Spelsberg, Fritz, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Keppler, Lena, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, Ronellenfitsch, Ulrich, Thomssen, Christoph, Dumpies, Christian W., Fischer, Isabel, Gessner, Michael, Klauke, Friederike, Schmidt, Birte, Vinz, Franziska, Sander, Johannes, Betz, Christian Stephan, Bewarder, Julian, Burg, Simon, Klatte, Till Orla, König, Daniela, Köpke, Leon-Gordian, Stangenberg, Martin, Roux, Frederic, Hakami, Ibrahim Abdullah, Mall, Julian W, Graeb, Christian, Huber-Strößner, Kristin, Pempe, Christina, Kelly, Kathrin, Siebert, Julia, Agrawal, Rachit, Gousias, Konstantinos, Qureischie, Homeira, Meyer, Frank, Rissmann, Anke, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Rassweiler-Seyfried, Marie-Claire, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, Gempt, Jens, Schäffer, Christoph, Wegmann, Helmut, Aghamaliyev, Ughur, Böcker, Wolfgang, von Ehrlich-Treuenstätt, Viktor H., Ladurner, Roland, Schlager, Justin Gabriel, Smolka, Wenko, Glowalla, Claudio, Schneidmueller, Dorien, Henkel, Karl Wilhelm, Stadler, Josef, Hölz, Katharina, Brunner, Stefan M., Prantl, Lukas, Herzberg, Jonas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Reinhard, Tobias, Löffler, Markus W., Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, Pusch von, Silke, Schmidbauer, Stefan, Boenicke, Lars, Degener, Stephan, Seiberth, Rose, Smit, Marieke, von Rundstedt, Friedrich-Carl, Germer, Christoph-Thomas, Lock, Johan, Lotz, Christopher, Schlesinger, Tobias, Schmid, Benedikt, Treutlein, Agnes, Agyeman-Duah, Nana Kwaku, Appiah, Enoch, Gakpetor, Delali, Minlah Allah, Stephen, Adu-Aryee, Nii Armah, Agboadoh, Nelson, Bediako Bowan, Antoinette, Brown, George Darko, Clegg-Lamptey, Joe-Nat, Fenu, Benjamin Sena, Kumassah, Philemon, Hussey, Romeo, Agbeno, Evans Kofi, Amoako-Boateng, Mabel, Debrah, Samuel, Doku, Dr Kingsley, Mensah, Philip, Nortey, Michael, Opandoh, Isabella Naa Morkor, Yigah, Makafui, Jiagge, Nuna, Acquaye, Jane, Agyemang-Prempeh, Akosua, Amo-Antwi, Kwabena, Amoah, Michael, Amoah, George, Aning, Daniel Gyawu, Annor Mintah, Dominic, Arthur, Joshua, Darko- Asante, Regina, Gaveh, Valerie, Gyamfi, Frank Enoch, Jonathan, Boakye - Yiadom, Konney, Thomas Okpoti, Kyei, Ishmael, Nimako, Boateng, Ofosu-Barko, Ben Blay, Osabutey, Anita, Sagoe, Robert, Yifieyeh, Abiboye, Ansong, George, Abdul-Mumin, Alhassan, Amadu, Munira, Azahares Leal, German, Buunaaim, Alexis, Cheyuo, Ernest, Daboo Salifu, Latif, Issaka, Adamu, Yakubu, Musah, Grypiotis, Ioannis, Papadopoulou, Triada, Korkolis, Dimitrios, Thomakos, Nikolaos, Dellaportas, Dionysios, Dimitra, Papalouka, Hadjizacharias, Theodoros, Konstadoulakis, Manousos, Massaras, Dimitrios, Vezakis, Antonios, Avgerinos, Konstantinos, Kechagias, Aristotelis, Ioannidis, Argyrios, Patelis, Nikolaos, Deskou, Eirini, Stamos, Nikolaos, Tasis, Nikolaos, Danias, Nikolaos, Selmani, Jonida, Kalamatianos, Theodosis, Stranjalis, George, Kondilis, Panagiotis, Kanellopoulou, Vasiliki, Larentzakis, Andreas, Papanikolaou, Vasileios, Potamianos, Spyridon, Triantafyllou, Tania, Panagiotou, Peter, Avramidis, Emmanouil, Bessias, Nikolaos, Tsiantoula, Paraskevi, Charalabopoulos, Alexandros, Kykalos, Stylianos, Kyros, Eleandros, Machairas, Nikolaos, Mastoraki, Aikaterini, Papalampros, Alexandros, Terras, Alexis, Tsourouflis, Gerasimos, Zografos, Constantinos, Antzaka, Christina, Falara, Areti, Perreas, Konstantinos, Rellia, Panagiota, Tasouli, Androniki, Skolarikos, Andreas, Tzelves, Lazaros, Theodorakis, Emmanuel, Karona, Paraskevi, Tzouganakis, Angelos, Chrysos, Emmanuel, Nikolouzakis, Taxiarchis, Tourountzi, Paraskevi, Al, Aggeliki, Kalfountzos, Christos, Arnaoutoglou, Eleni, Christodoulidis, Gregory, Gkolias, Nick, Hajiioannou, Jiannis, Krestinidis, Giorgos, Ntalouka, Maria, Saini, Fani, Skoulakis, Charalampos, Terzoudis, Christos Dimitrios, Zacharoulis, Dimitris, Δακής, Κωνσταντίνος, Filo, Eva, Kontopoulou, Konstantina, Patoulias, Ioannis, Astreidis, Ioannis, Christidis, Panagiotis, Loutzidou, Lydia, Mantevas, Antonis, Tatsis, Dimitris, Tsakiridis, Ioannis, Iordanidou, Eirini, Brolo, Estuardo, Gutiérrez Ruiz, Alitza, De León Lima, María Alejandra, Flores, Mario-Andrés, Morales, Steffanía, Rivera, Pablo, Rodas, Lesly, Santos, Victor, Sosa, Dianne, Barrios Duarte, Amalia, Talé-Rosales, Luis-Fernando, Villeda, Sergio Alejandro, Anicetti, Joshua, Lowey, Megan, Ardebol, Javier, Barillas, Kathia, Barillas, Sabrina, Recinos, Salvador, Hon, Sophie, Liu, Alex Qinyang, Liu, Shirley, Ip, Ho Wai, Mak, Brian, Mok, Chung Ying, Wong, Kiu Fung, Au-Yeung, Kit Ying, Chan, David Yuen Chung, Chiu, Wang Kei, Ho, Jacky Yan Kit, Kung, Janet Wui Cheung, Ling, Samuel Ka Kin, Lok, Hon Ting, Teoh, Jeremy Yuen-Chun, Wong, Randolph, Antal, Zsuzsanna, Bahrehmand, Kiarash, Sztipits, Tamás, Hidi, László, Piros, Laszlo, Rózsa, Balazs, Herczeg, György, Saftics, György, Kulcsicka-Gut, Judit, Sipos, Zsófia, Majmudar, Hardil, Madabhavi, Irappa, G S, Anitha, Kesarla, Venkatesh, Kumar Venkatappa, Sunil, P B, Hareesh, Shivashankar Chikkanayakanahalli, Santhosh, Sunil, Tanvi, Rajagopal, Niranjana, P L, Thirumanikandan, Mishra, Nitu, Wadhwani, Dr Rekha, Dhurwe, Ritika, Pushpalatha, Kameshwarachari, Raj, Sumit, Singh, Pooja, Kumar, Pankaj, Mittal, Yash, Panigrahi, Sibasish, Parija, Sucheta, Patra, Saroj, Sahu, Rabi, Sultania, Mahesh, Tripathy, Sujit, Kansay, Rajeev, Gupta, Sunil Kumar, Kaman, Lileswar, Salunke, Pravin, Singh, Kavindra, Rela, Mohamed, Goudar, Swati, B, Barani kumar P, Murugesan, Anandan, Subbian, Anbukkani, Kumar, Arvind, Chauhan, Tapan singh, Govil, Akhil, Gupta, Shubhra, Sharma, Ashish, Tiwari, Saurabh, Vishwani, Vartika, Evelyn. R, Nissi, Deb, Mainak, Jayaram, Harish, Nagpal, Pooja, Pathak, Prachi, Choudhary, Gautam Ram, Chugh, Ankita, Elhence, Abhay, Madduri, Vijay, Pandey, Himanshu, Saxena, Rahul, Sharma, Naveen, Shekhar, Shashank, Vishnoi, Jeewan Ram, Bhende, Vishal, Chatterjee, Debarshi, Ghosh, Indranil, Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Bajaj, Ankur, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Rajan, Shiv, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Agarwal, Gaurav, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Jain, Ritu, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Alexander, Philip, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, Dharap, Satish, Mhamane, Rameshwar, Nirgude, Anand, Parab, Sandesh, Peswani, Amit, Sahu, Anjana, Samel, Sarika, Shah, Fagun, Abraham, Bejoy, Asari, Ashishkumar, Badhe, Vivek, Badhwar, Sanjiv, Bothara, Vipul, Dalal, Anuj, Date, Avinash, Deshpande, Mandar, Doshi, Anirudha, Gade, Maya, Gajjar, Shreyash, Ghugare, Dr bhavisha, Jain, Divakar, Jenasamant, Saumya Sekhar, Joshi, Vinay, Kalwadia, Neha, Kayal, Akshat, Kulkarni, Yogesh, Mistry, Rajesh, Mulchandani, Manoj, Parab, Dr. Mrunal, Pednekar, Abhinav, Rahmani, Faizan, Rajput, Sunil, Sandlas, Gursev, Sarkar, Hrishikesh, Shetty, Sanket sadanand, Shukla kulkarni, Anshumala, Thete, Raghavendraswami, Wasnik, Shruti, Dhumane, Parag, Sharma, Rahul Deo, Deshmukh, Anuja, Gupta, Stuti, Nayak, Prakash, Thiagarajan, Shivakumar, Tiwari, Virendra Kumar, Voppuru, Saiesh Reddy, Soni, Rajesh, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bains, Lovenish, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Ghodke, Rahul, Himani, Kumar, Ashwani, Gadekar, Anup, Panjwani, Taufiq, Maji, Suvendu, Basu, Somprakas, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Mahakalkar, Chandrashekhar, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, Mehraj, Asif, Parray, Fazl, Shah, Raahil, Wani, Rauf, Hegde, Siddhi, Ankadavar, Dr.sushil, Bafna, Darshan, Lad, Parag, Chisthi, Meer, Jothi, Harihara, .C. Mathew, Godwin David, Abel, Livingston, Barla, Ravi Kishore, Benjamin, Santosh, Bliss, Jeremy, Ete, Geley, James, Deeptiman, Jesudason, Mark Ranjan, Karnan, Gomathi, Mark Samuel, Vasanth, Mittal, Rohin, Nathan, Senthil K, Selvaraj, Daniel, Surendran, Suraj, T D, Hariharan, Thangaraj, Santhosh Kumar, Thomas, Varghese, Dilmy, Mohammad Adya Firmansha, Pratama, Dedy, Sugiarto, Adhrie, Surya, Ilham Utama, Tango, Tamara, Hasyim, Andi, Susanti, Ade, Saputra, Teddy, Syarifuddin, Erwin, Islam, Andi Asadul, Anam, Khoirul, Sugianto, Julius Albert, Lestari, Mayang Indah, Amba, Erick Gamaliel, Apriawan, Tedy, Wathoni, Roidah Taqiyya Zahra, Widyastuti, Yunita, Yun Jufan, Akhmad, Etezadpour, Mohammad, Mehrad-Majd, Hassan, Rajaei, Parisa, Mehdizadeh, Mohammad, Soltani, Mina, Pour, Ali Moazami, Azarnia, Gholamreza, Alizadeh, Narges, Mokarami, Hossein, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Yousefzadeh Kandevani, Naser, Mortazavi, SM Javad, Ahmadi, Sayedali, Khosravi, Mohammad Hossein, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Hilmi, Ahmed, Muhssein, Haidar, McNestry, Catherine, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Fleming, Christina, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, O’Brien, Stephen, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Croghan, Stefanie M, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, Cullinane, Carolyn, Dowdall, Joseph, Hurson, Conor, Kelly, Orlaith, Kennelly, Rory, Kiernan, Aoife, Murphy, Ben, Njeze, Nwabundo, Reynolds, Ian Sean, Winter, Des, Ravi, Akshaya, Ridgway, Paul, Fowler, Amy, McAnena, Peter, Bahadoor, Muhammad Usaama, Kabir, Syed Mohammad Umar, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, Ryan, Éanna, Sara, Al-Mukhaizeem, Youssef, Crowley, Clare, Flanagan, Michael, Fogarty, Amy, Glynn, Orna, Hill, Rhodri, Khalid, Muhammad Abdullah, Majeed, Zubair, McCullough, Peter, Neary, Peter, Noone, Anthony, O’Kelly, John, Abu abed, Arsan, Haim, Nadav, Hershkovitz, Yehuda, Majadla, Omar, Rabin, Igor, Zmora, Osnat, Demma, Yonatan Avraham, Fishman, Yuri, Farkas, Amicur, Gozal, Yaacov, Greenman, Dmitry, Ostrovsky, Israel Alexander, Pardes, Rivka, Shahar, Tal, Teren, David, Yahud, Reuven, Yellinek, Shlomo, Cianci, Pasquale, Minafra, Marina, Restini, Enrico, Bussolin, Edoardo, De Prizio, Marco, Sulce, Rezart, Poiasina, Elia, Antonacci, Filippo, Arena, Alessandro, Belvedere, Angela, Bernagozzi, Fabio, Boussedra, Safia, Cescon, Matteo, Cipolli, Alessandro, Daddi, Niccolo’, De Crescenzo, Eugenia, De Iaco, Pierandrea, Del Gaudio, Massimo, Della Gatta, Anna Nunzia, Droghetti, Matteo, Giorgini, Federico A., Lanci Lanci, Antonio, Masetti, Michele, Minni, Francesco, Morezzi, Daniele, Perrone, Anna Myriam, Pignatti, Marco, Puglisi, Silvana Bernadetta, Rottoli, Matteo, Schiavina, Riccardo, Serenari, Matteo, Serra, Margherita, Tesei, Marco, Violante, Tommaso, Aspide, Raffaele, Carretta, Alessandro, Conti, Alfredo, De Vita, Carla, Friso, Filippo, La Corte, Emanuele, Rosetti, Vittoria, Sturiale, Carmelo, Donati, Davide Maria, Palmerini, Emanuela, Berselli, Bruno, Bolognesi, Silvia, Farnia, Francesco, Maremonti, Pietro, Razzaboni, Alessandra, La Mendola, Roberta, Arrigoni, Giulia, Baiocchi, Gian Luca, Molfino, Sarah, Panciani, Pier Paolo, Sartori, Enrico, Zanin, Luca, Perrone, Fabrizio, Cappellani, Alessandro, Giaquinta, Alessia, Gioco, Rossella, Veroux, Pierfrancesco, Cianci, Antonio, Lo Giudice, Arturo, Russo, Giorgio Ivan, Sarpietro, Giuseppe, Scandura, Carmen Emanuela, Barca, Ida, Carnevali, Adriano, De Paola, Gilda, Giannaccare, Giuseppe, Sammarco, Giuseppe, D’Andrea, Marcello, Tosatto, Luigino, Mucilli, Felice, Muraglia, Angelo, Giuliani, Domenico Benvenuto, Segalini, Edoardo, Daniele, Alberto, Gelarda, Enrico, Olearo, Elena, Puppo, Andrea, Testa, Valentina, Porta, Andrea, Birindelli, Arianna, Bernabei, Massimiliano, Feo, Carlo V., Virgilio, Edoardo, Bartolini, Ilenia, Bottari, Andrea, Checcucci, Carlotta, De Vincenti, Rosita, Fambrini, Massimiliano, Fortuna, Laura, Gallo, Oreste, Maltinti, Gherardo, Taddei, Antonio, Michelagnoli, Stefano, Maccagnano, Giuseppe, Pesce, Vito, Ercolani, Giorgio, Fappiano, Francesca, Barberis, Andrea, Filauro, Marco, Santoliquido, Matteo, Aprile, Alessandra, Barra, Fabio, De Rosa, Raffaele, Ferrero, Simone, Sparavigna, Marco, Vagge, Aldo, Gambardella, Denise, Tedesco, Manfredo, Spampinato, Marcello Giuseppe, Chiarelli, Marco, Grandi, Samuele, Lenzi, Riccardo, Muscatello, Luca, Germano’, Antonino Francesco, Giani, Alessandro, Bissacco, Daniele, Cassinotti, Elisa, Pignataro, Lorenzo, Torretta, Sara, Armellin, Daniele, Basato, Silvia, Carrano, Francesco Maria, Colombo, Giovanni, De Lucia, Francesca, De Virgilio, Armando, Ferreli, Fabio, La Raja, Carlotta, Milana, Flavio, Rossi, Vanessa, Russo, Elena, Tamburello, Sara, Zerbi, Alessandro, Bona, Davide, Adamoli, Laura, Ansarin, Mohssen, Chu, Francesco, De Berardinis, Rita, Pietrobon, Giacomo, Sedda, Giulia, Caputo, Maria, Cellerino, Paola, Crespi, Michele Achille, Danelli, Piergiorgio, Ferrara, Francesco, Baccellieri, Domenico, Candiani, Massimo, Casiraghi, Arianna, Cipriani, Federica, De Nardi, Paola, Mortini, Pietro, Nocera, Gianluca, Pozzoni, Mirko, Ruffolo, Alessandro Ferdinando, Spina, Alfio, Barberio, Cristina, Beretta, Luigi, Cavenago, Francesca, Fresilli, Stefano, Landoni, Giovanni, Lombardi, Gaetano, Bonomi, Stefano, Guaglio, Marcello, Sala, Laura, Segattini, Silvia, Piccoli, Micaela, Migliore, Marco, Sasia, Diego, Cereda, Marco, Dell’Oro, Cristina, Fogliati, Alessandro, Tamini, Nicolò, Castaldi, Antonio, Bracale, Umberto, Lionetti, Ruggero, Pagano, Gianluca, Peltrini, Roberto, Pirozzi, Nello, D’amico, Maria, Izzo, Francesco, Marra, Ester, Marte, Gianpaolo, Bianco, Francesco, Cappiello, Antonio, Iovino, Claudio, Menna, Maria Paola, Romano, Francesco maria, Rossi, Settimio, Sciaudone, Guido, Ascari, Francesca, Bellora, Paolo, Cerri, Cristina, D’Aloisio, Giordana, Ferrari, Maurizio, Chioffi, Franco, Ciccarino, Pietro, Nezi, Giulia, Bissolotti, Guido, Di Donna, Mariano Catello, Licari, Leo, Salamone, Giuseppe, Toia, Francesca, Annicchiarico, Alfredo, Berretta, Roberto, Capozzi, Vito Andrea, Freyrie, Antonio, Frusca, Tiziana, Arici, Vittorio, Bozzani, Antonio, Filardo, Matteo, de Manzoni Garberini, Andrea, Cauteruccio, Michele, Caristo, Giuseppe, Calabrò, Marcello, Andreani, Lorenzo, Antonio, D’arienzo, Berrettini, Stefano, Colangeli, Simone, Cremonini, Camilla, Dallan, Iacopo, Di Franco, Gregorio, Korasidis, Stylianos, Musetti, Serena, Neri, Carlo Maria, Palmeri, Matteo, Picariello, Miriana, Statuti, Erica, Tartaglia, Dario, Pinotti, Enrico, Basso, Stefano Maria Massimiliano, Ubiali, Paolo, Coiro, Saverio, Mele, Simone, Corbellini, Carlo, Masciandaro, Antonio, Carannante, Filippo, Denaro, Vincenzo, Mazzotta, Erica, Zampogna, Biagio, Cinquepalmi, Matteo, Del Basso, Celeste, Guglielmo, Nicola, Meniconi, Roberto Luca, Sinibaldi, Giovanni, Agnes, Annamaria, Belia, Francesco, Bianchi, Valentina, Cozza, Valerio, Fico, Valeria, Fransvea, Pietro, La Greca, Antonio, Litta, Francesco, Pascale, Marco Maria, Silvia, Tedesco, Benevolo, Maria, Campo, Flaminia, Dona’, Maria Gabriella, Marchesi, Paolo, Mastroianni, Riccardo, Mazzola, Francesco, Moretto, Silvia, Petruzzi, Gerardo, Pichi, Barbara, Tuderti, Gabriele, Bellato, Vittoria, Grande, Michele, Petagna, Lorenzo, Sensi, Bruno, Bruzzaniti, Placido, Ciccarone, Flavia, Cicerchia, Pierfranco Maria, Cirillo, Bruno, D’ambrosio, Giancarlo, De Toma, Giorgio, Familiari, Pietro, Fonsi, Giovanni Battista, Pata, Francesco, Picchetto, Andrea, Salvati, Maurizio, Valentini, Valentino, Zambon, Martina, Zancana, Giuseppa, Zuppi, Emma, Ibrahim, Mohsen, Menna, Cecilia, Rendina, Erino Angelo, Accarino, Giulio, Giancarlo, Accarino, Froiio, Caterina, Copelli, Chiara, Di Maio, Pasquale, Giudice, Marco, Altana, Cristian, Ciccarello, Sandro, Cossu, Maria Laura, Dessole, Francesco, Dettori, Salvatora, Madonia, Massimo, Petrillo, Marco, Piredda, Franco, Rizzo, Davide, Scognamillo, Fabrizio, Soma, Damiano, Tanca, Anna Rita, Marano, Luigi, Pesce, Anna Lisa, Piccioni, Stefania Angela, Resca, Luca, Roviello, Franco, Abrate, Alberto, Clarizia, Guglielmo, Franzini, Marco, Fratto, Antonio, Grechi, Alessandro, Scarnecchia, Elisa, Maiuri, Vincenzo, Dalprà, Francesca, Battistella, Enrico, Romano, Maurizio, Aizza, Giada, de Manzini, Nicolò, Drigo, Davide, Mastronardi, Manuela, Palmisano, Silvia, Bardelli, Laura, Borroni, Giacomo, Livraghi, Lorenzo, Palumbo, Mara, Zullo, Alessandra, Vignotto, Chiara, Caravati, Andrea, De Cristofaro, Carlotta, Giuliani, Tommaso, Guglielmi, Alfredo, Pedrazzani, Corrado, Butturini, Giovanni, Moretto, Gianluigi, Mastriale, Francesco, Olmi, Stefano, Kushikata, Tetsuya, Oyama, Tasuku, Kamiyama, Mizue, Tarao, Kentaroh, Yamada, Takayuki, Shiga, Toshiya, Deguchi, Yoshihiko, Hoshino, Tatsuki, Inoue, Hiroyuki, Ito, Shingo, Takano, Emi, Yamamoto, Masae, Matsuki, Yuka, Matsumoto, Takashi, Sawada, Atsushi, Sato, Kozo, Makino, Jun, Mizota, Toshiyuki, Yonekura, Hiroshi, Ishikawa, Haruka, Kaiho, Yu, Ogawa, Munehiro, Endo, Shunji, Fujiwara, Yoshinori, Kubota, Hisako, Okada, Toshimasa, Hisamatsu, Yoji, Michiura, Taku, Satoshi, Okazaki, Fujita, Tomoyuki, Fukushima, Satsuki, Otsuka, Yuji, Sawada, Ikumi, Miyamoto, Morikazu, Isada, Tetsuro, Bani Amer, Qaed, Fujimoto, Yuki, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, Kuroda, Naoto, Okamura, Yukiyasu, Uesaka, Katshuhiko, Kuroda, Kento, Abe, Nobutsugu, Ando, Tadao, Hirano, Kouichi, Kobayashi, Yoichi, Motoyasu, Akira, Noguchi, Hikari, Tajima, Atsushi, Toyama, Satoshi, Uchida, Tokujiro, Furukawa, Yuri, Hasumi, Yoko, Iida, Katsuyuki, Ikeda, Tatsuhiko, Kuzuhara, Shigeki, Yamamoto, Naoya, Yamamoto, Mari, Yokota, Toshiya, Yoshioka, Yuki, Kawai, Akira, Nakata, Yoshinori, Sawamura, Shigehito, Kobayashi, Takayuki, Alqudah, Majdi Ali, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Omari, Rand Y., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, Ayasra, Faris, Ghayada, Ibrahim, Hasanein, Khaled Moh’d Ahmed, Hassouneh, Anas, Hijazeen, Raid, Khasawneh, Barihan, Semrin, Qusai, Theab, Mohammad, Abazeed, Alaa, Alkurdieh, Moh’d Mujahed, Hammouri, Mohammad, Khader, Sereen, Abu Obead, Hamza, Abudari, Hadeel, Al-azzeh, Nimer, Al-Darabah, Ali, Al-Qannas, Mohammad, Ashour, Subhi, Chabaan, Reem, Fawzi, Ahmad, Haij, Manal, Hassouneh, Esraa, Ibrahim, Zainab, Mohamed, Ishak, Qandeel, Mahmoud, Qassem, Faisal, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, Abuleil, Amro, Abou Chaar, Mohamad K., Al-latayfeh, Motasem, Al-Shudifat, Abdel-Ellah, Shaikh Ahmad, Abd Almonem, Abu Abed, Laith, Allouzi, Mohammad, Almi’ani, Sari, Alsaiad, Abdulhakim, Daoud, Maher, Dawod, Omar, Fadli, Saba, Jimaale, Elmi Ahmed Mohamed, Qulaghassi, Zaki, Al-howthi, Mohammed, Ababneh, Laila, Ababneh, Roba, Al Khassawneh, Ahmad, Al Sharie, Ahmed, Al-Dabaa, Tawfik, Al-Jarrah, Salsabeel, Alshannaq, Qutaiba, Alsulaiman, Rima, Audat, Ziad, Bdour, Saja, Khatatbeh, Ro’a, Marji, Fares, Abu Ismail, Dima.Y, Abu-Ismail, Luai, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Kulimbet, Mukhtar, Sakhov, Orazbek, Fakhradiyev, Ildar, Tanabayeva, Shynar, Zhussupov, Baurzhan, Amrayev, Sultan, Kukubassov, Yerlan, Parker, Robert, Mwaria, Claude, Kibunyi, Muthoni, Mailu, Claire, Osea, Lydia, Hirsi, Omar, Dashti, Mustafa, Aldalal, Shuaib, Alozairi, Ous, Al-Shaiji, Tariq, Alhunaidi, Omar, Aljewaied, Ali, Farag, Ahmed, Termos, Salah, Sivins, Armands, Apse, Ingus Arnolds, Kaminskis, Aleksejs, Pāvulāns, Jānis, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Tamoos, Khalil, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Al maadany, Faraj, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, Alansari, Arowa hassan abdulrahman, Alhaje, Awatif, Haron, Aaya, Alsuwiyah, Suhir, Khel, Samer, Yousef, Rowaida, Abuhlaiga, Ma’aly, Abushahma, Ahmed omar, Aldelensi Alzubi, Alhosen Saleh M, Alnehum, Mohamed alnaser, Alzedam, Ahmad, Matoug, Faisel, Mohammed, Burooj, Sawalem, Mohamed, Kamoka, Elhusain, Salamah, Abdulrauf, Abdeewi, Saedah, Eshnaf, Mabroka, Yahmad, Mohammad, Aljuroushi, Omar, Attia, Hajer, Emran, Ayyah, Samer, Ashraf, Abdullah, Duha milad, Ben esmael, Esraa, Benmasoud, Fatma, Debri, Laila, Younis, Balkees, Elmabrouk, Amna, Hasan, Ameerah Mahdi Abraheem, Suliaman, Taha, Alawami, Mohammed, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Ellojli, Ibrahim, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, Alayan, Mohammed, Ben Hasan, Hayat, Shaban Ben Hasan, Najat, Shaban Ben Hasan, Rabab, Dambrauskas, Zilvinas, Dekeryte, Inga, Koženiauskaitė, Akvilė, Maleckas, Almantas, Venclauskas, Linas, Zilinskas, Justas, Syminas, Vilius, Aliosin, Oleg, Cizauskaite, Agne, Jurgaitis, Jonas, Mikutaitis, Vytenis, Samalavicius, Narimantas Evaldas, Slepavicius, Algirdas, Vasiliauskas, Bernardas, Dulskas, Audrius, Cekauskas, Albertas, Gulla, Aiste, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, Samison, Luc Hervé, Tsiambanizafy, Guillaume Odilon, Solo, Corinne Eulalie, Safiry Andofenohasina, Fanonjomahasoa, Sablon Herinirina, Angelin, Das, Andre, Osman, Mohd Firdauss, Soh, Jien Yen, Zakaria, Zaidi, Chan, Kheng Hooi, Johan, Syamim, Mah, Jin Jiun, Subramaniam, Sentilnathan, Ibrahim, Mohd Razali, Nazimi, Abd Jabar, Bal, Pavin, Fadzli, Ahmad nazran, Jamaris, Suniza, Lee, Yeong Sing, Lim, Jeffery Zk, Moh Pauzi, Siti Farhan, Nair, Ashvin Krishna, Ng, Doris Sin Wen, Ng We Yong, Yuki Julius, Roslani, April Camilla, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Munjih, Islah, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul Rauf bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Abdul Rahman, Noorneza, Firman, Fatin, Hazleigh, Nik Mohd, Mohd Miswan, Mohd Fairudz, Mohd Zahid, Akmal Zulayla, Yahaya, Mohd Yusoff bin Yahaya, Yusoff, Ahmad Ramzi, Darryl, Brincat, Svetlana, Caruana, Clifford, Chircop, Daniel Mario, Czok, Viktoria, Muscat, Esther, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Jonathan Rubén, Cedillo Rodrìguez, Rojas Aguilar, Antonio, Sosa Duran, Erik Efrain, Arroyo, Diego, Martinez-Said, Hector, Medina-Franco, Heriberto, Pérez de León Vázquez, Martha Patricia, Soto Hernández, Fidel, Stenner, Juan Ignacio, Zuloaga Fernandez del Valle, Carlos Jose, Colunga Tinajero, Carlos Andres, Yanowsky-Reyes, Guillermo, Camacho Gomez, Aldo, Cueva-Martinez, Esteban, Durán Anguiano, Oscar, García Castillo, Miguel, Gonzalez Ojeda, Alejandro, González-García de Rojas, Erick Alonso, Guzman Barba, Jose Aldo, Ibarrola Peña, Juan Carlos, Íñiguez Martínez, César, Llamas- Macias, Francisco Javier, Ambriz Gonzalez, Gabriela, Morales valencia, Eduardo, Santos, Blanca, Torres Cisneros, Juan Roberto, Bozada-Gutiérrez, Katya, Alvarez, Maria Regina, de la Rosa Abaroa, Marco Antonio, Hernandez, Roberto, Bernardo, Anaya, Ernesto, Arceo-Olaiz, Ricardo, Lopez Flores, Sonia, Esparza Arias, Nereida, Romero Bañuelos, Esmeralda, Salcedo-Hernández, Rosa, Buerba, Gabriela Alejandra, Chan, Carlos, Garay Lechuga, Daniel, Hinojosa, Carlos, Mercado, Miguel Ángel, Peña Gómez Portugal, Emmanuel, Posadas-Trujillo, Oscar Emmanuel, Hernandez Skewes, Karla Yareli, Licona-Meníndez, Roque Delfino, Romero Lechuga, Fernanda, Roque, Oscar, Núñez-González, Roberto Ángel, Alvarez Manilla Orendain, Alfonso, Garcia, Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate Saenz, David, Zavala gonzalez, Miguel angel, Andrade González, Francisco, Cortes, Ludivina, Gurghiș, Radu, Sanjaa, Burmaa, Ait benhamou, Rita, Rghioui, Mounir, Saaf, Sarra, Letrache, Ahmed, Zekhnini, Meryem, Abichou, Wijden, Baroudi, Salma, Hassoun, Chiraz, Zaim, Ouijdane, Arkha, Yasser, Bechri, Hajar, Benchekroun Belabbes, Meryem, Benslimane, Zaineb, Boualila, Lina, El Ouahabi, Abdessamad, Essakalli Hossyni, Leila, Tagmouti, Adam, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Ndayishyigikiye, Marcel Didier, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Bhusal, Subarna, Dwa, Yam, Bloemers, Frank, Besselink, Marc, van Amstel, Paul, Smeele, Ludi, Harlaar, Niels, van der Burg, Sjirk, Noltes, Milou, Steinkamp, Pieter, Franken, Josephine, Oosterling, Steven, Nolte, Peter, Alwayn, Ian, Braat, Andries, Goudsmit, Ben, van de Leemkolk, Fenna E.M., Albers, Kim, Van Goor, Harry, van Ginhoven, Tessa M., Schweitzer, Donald, Leclercq, Wouter, Vancoillie, Peter-Jan, Konsten, Joop, den Boer, Frank, Djamali, Kaveh, Ghamri, Naji, Joseph, Reece, Lie, Samuel, Olliff, Sue, Wood, Daniel, Furkert, Chris, Teague, Rebecca, Lim, Eric, Mclauchlan, Jared, Ailabouni, Ramez, Alqassab, Mohammed, Hawkins, Robyn, Baker, Joseph, Ou, Cindy Xin Yi, Singh, Vidit, Frunt, Brytt, Lakshman, Prashant, Henderson, Nigel, Ha, Jeong, Haimona, Maira, Jury, Steffanie, Weeratunga, George, Witcomb Cahill, Henry, Abdussalam, Hameedat Opeyemi, Ahmed, Aminat Olayinka, Adeyeye, Ademola, Kayode-Nissi, Victor, Kadiri, Innih, Oduah, Stella, Olaogun, Julius, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Ja’afar, Abubakar Bappah, Ja’afaru, Umma Hani, Yakubu Mohammed, Husseini, Edetanlen, Ekaniyere, Iribhogbe, Oseihie, Irowa, Omorodion, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Akanni, Bolaji, Ezomike, Uchechukwu, Okoro, Kelechukwu, Okwara, Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Lawal, Taiwo Akeem, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Ademuyiwa, Adesoji, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Seyi-Olajide, Justina, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Okunlola, Abiodun, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Adisa, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, Wuraola, Funmilola, Mohammed, Tajudeen, Afolabi, Abdulrahman O., Aremu, Isiaka, Ibraheem, Gbadebo, Odeyemi, Peter Olalekan, Olabinjo, Afusat, Raji, Hadijat Olaide, Salawu, Hafeez, Uche-Okonkwo, Kenechukwu, Anipole, Olalekan, Adesina, Oluwaseyi, Enwerem, Kenneth, Isichei, Mercy, Aghadi, Ifeanyi, Kache, Stephen, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Sale, Danjuma, Takai, Idris Usman, Aji, Sani Ali, Anyanwu, Lofty-John, Bello-Muhammad, Nafisatu, Garzali, Ibrahim Umar, Hasheem, Muhammad Ghazali, Hassan, Sadiq, Ibrahim Usman, Mustapha, Magashi, Mahmoud Kawu, Mukhtar, Ibrahim Aliyu, Nwachukwu, Callistus, Suleiman, Ibrahim, A, Maryam, Mahmood, Farrukh, Salihu, Mohammed, Okereke, Chukwuma, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, Oyelowo, Nasir, Tolani, Musliu Adetola, Filipce, Venko, Rendevski, Vladimir, Shuntov, Blagoj, Todorovic, Lazar, Jovanovska, Katerina, Nikolovska, Bisera, Peev, Igor, Asha, Al Amri, Ayman, Al Badaai, Ghalib, Al Balushi, Zainab, Al Farsi, Maather, Al HOSNI, Mohammed, Al Kalbani, Moza, Al Riyami, Nihal, Al shaibi, Maha, Al-Mujaini, Abdullah, AlBusaidi, Hanadi, Alwashahi, Mohammed, Alzadjali, Adil, Dalmar, Khadija, Dawud, Bashar, Gargouri, Mohamed Mourad, Laghari, Farman Ali, Manjunatha, attibele Palaksha, Mathew, Joseph Kunju, Muzaffar, Rahil, Naiya, Hafsa Ismail Ibrahim, Pillai, Silja, Rahim, Ferdous, Stephen, Edwin, Younas, Shahzad, Fatima, Mishal, Javed, Ayesha, Shakir, Fatima Tuz Zahra, Siddiqui, Riaz Hussain, Sultan, Rizwan, Syed, Danish, Ur Rehman, Ishtiaq, Warraich, Shahrukh, Amir, Mohammed, Asghar, Saleha yurf, Haider Bangash, Ali, Ahmed, Arooj, Ansar, Mehwish, Arslan, Muhammad, Ashraf, Sumaira, Irshad, Abeer, Khan, Farheen, Shami, Dr Ali, Ul Haq, M Burhan, Waqar, Shahzad Hussain, Ahmed, Shahnoor, Ahsan, Kunwar Armash, Akhund, Ramsha, Chishti, Uzma, Haroon, Waqqas, Kassam, Nausheen, Kazmi, Abbas, Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Mubarik, Areeba, Naz, Falak, Qamar, Javeria Bilal, Sadia, Haleema, Safri, Mohammad, Sattar, abida K., Siddiqui, Muhammad Ahsan Iqbal, Waqar, Usama, Kerawala, Asad Ali, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Rai, Lajpat, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Zia, Kashif, Ali Shaikh, Shafqat, Ayub, Bushra, Hussaini, Dr, Kamal, Wajahat, Mughal, Zeeshan Uddin, Nadeem, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Saleem, Shah Masabat, Sayyed, Raza, Shah, Aaqil, Siddiqui, Safia, Tariq, Nida, Zamir, Mehroz, Arif, Hafiz Muhammad, Ahmed, Ehsan, Ahmed, Jawad, Akbar, Bilal, Ali, Abrar Ashraf, Iqbal, Zafar, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Rafi, Yaseen, Saleem, Irfan, Shaukat, Ayesha, Sikandar, Hafiz Saqib, Tu zahara, Fatima, Ali, Ahsan, Jawad, Muhammad, Noman, Hamza, Taha, Dr Hassan, Raana, Dr. Gul e, Qadir, Muhammad Ghulam, Ali, Imran, Asjad, Muhammad, Ayyaz, Mahmood, Bajwa, Luqman Ali, Bhatti, Samiullah, Butt, Usman, Chishti, Muhammad Haris, Hassan, Muhammad, Hassan, Usman, Hayat, Khizar, Khan, Rohma, Latif, Usman, Majeed, Faizan, Malik, Kiren, Nabi, Muhammad shoaib, Sadiq, Muhammad Hamza, Saeed, Komal, Sarfraz, Kiran, Sohail, Rubina, Syed muhammad, Bilal, Umair, Usama, Wasim, Shafqat, Wasim, Tayyiba, Imran Anwar, Muhammad, Ali, Ammar, Aslam, Muhammad, Sher e Murtaza, Muhammad, Farooq, Umer, Ahmad, Siddique, Faizi, Fouzia, Khan, Hamza, Mabood, Waleed, Akhtar, Muhammad Shaheer, Amin, Hasbi Allah, Ayub, Bakhtawar, Basir, Muhammad, Gul, Hina, Khan, Muhammad faisal, Moeen, Aiman, Mohmand, Obaid, Rahim, Rehana, Shafqat, Tanveer, Ur Rehman, Shams, Daud, Mashal, Abid, Rubaba, Farkhanda, Tallat, Malik, Sobia, Salim, 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Sousa, Liliana, Paiva-Santos, Filipe, Salgueiro Oliveira, Anabela de Sousa, Santos-Costa, Paulo, Azevedo, Constança, Bolota, Joana, Oliveira, Joana, Pereira, Mário, Rocha Melo, Miguel, Henriques, Pedro, Manso, Maria Isabel, Martins dos Santos, Gildasio, Pereira, Rute, Revez, Tatiana, Ribeiro, Vera Inês, Teixeira, João, Alves, Paulo, Neves, Miguel, Sousa, Inês, Campos, Ana, Galindo, Luis, Girao, Ricardo, Silva, Nelson, Albuquerque Messias, Jose Henrique, Fonseca, Filipa, Salgado, Inês, Santos, Patrícia, Patena Forte, Joana, Sacras, Maria Luís, Neves, Filipe, Gil, Catarina, Almeida, Joana Isabel, Correia de Sá, Tiago, Lima da Cruz, Leticia, Machado, Nuno, Marialva, Joana, Pereira, Cristiana, Ribeiro, Ana, Valente, Pedro, Fazenda, Ana, Rachadell, Juan, Sequeira, Liliana, Davide, José, Emanuel do Vale Gonçalves de Castro Alves, Eurico, Oliveira, João, Almeida Rego, Juliana, Alvarenga, Vítor, Amaro, Duarte Nuno, Devezas, Vítor, Dias, Nuno, Faria, Carlos Silva, Gomes, Fabio, Meleiro, Hugo, Pereira, André, Pereira-Neves, António, Pina-Vaz, Teresa, Pinheiro, Gabriela, Pinho, Sílvia, Ramos, Pedro, Ramos, Patricia, Vilares Morgado, Rodrigo, Canotilho, Rita, Correia, Ana Margarida, Ferreira Pinto, Ana Paula, Claro, Mariana, Costa Santos, Daniel, Boto, Carlos, Branquinho, Rita, Rodrigues, Sónia, Guidi, Gonçalo, Leal, Clara, Machado, Luís, Marques, Prescillia, Martins, Daniela, Morais, Mariana, Nunes, Sara, Sapage, Rita, Sousa, Rita, Sousa, Diogo, Vaz Pereira, Ricardo, Lima Oliveira, Susana, Abdalla, Samir, Aurif, Fahad, Muzaffar, Nasir, Ahmed, Khalid, Al Dosouky, Mohammed, Al-Tarakji, Mohannad, Almudares, Saif, Elaffandi, Ahmed, Muslim, Muhammad, Qabbani, Amjad, Shah, Amjad, Khan, Mohammad Burhan, Murad, Musab, Costache, Victor, Dumitrescu, Tudor Ștefan, Muntean, George-Ovidiu, Mironescu, Aurel, Bezede, Cosmin, Enciu, Octavian, Baraian, Sergiu Catalin, Niculae, Cristina, Filipescu, Daniela, Goicea, Raluca, Alexe, Vlad, Batog, Olivia, Iliescu, Madalina, Ionescu, Sebastian, 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Carbajal, Ana Carmen, PereiraNuñez, Diego, Tarigo, Josefina, Al-saban, Rafat, Al-Eryani, Fatima, Reem, Al sanany, Ghadeer, Al-jarmozi, Buthina, Al-ameri, Saba, Al-Shehari, Mohammed, Al-surimi, Dhyia Alhuq, Alakhdury, Amira, ALhumaida, Adnan, Aljabri, Maniee, ALodine, Marwa, Alqudaimi, Basma, Alsabri, Mohammed, Alsayadi, Musaed, Atiah, Nora, Sayad, Shaima, Shukri, Amal, Zeid, Shahd, Abdullah, Nabila, Al-Garadi, Abdulrahman Faisal, Ali Al-Radhi, Ahmed M., Naji, Norhan, Al-madhrahi, Ahmed, Al-maswari, Sakhr Abdulhakeem, Al-Raimi, Ibrahim, Alshargabi, Haneen, Mkandawire, Catherine, Nkole, Theresa, Chivanga, Shelton, Dube, Handsome, Mangena, Moses, Moyo, Nkosikhona, Tshuma, Oltah, Gwini, Grace, Moyana Muguto, Vimbai, Mushawarima, Trust, Shoko, Tinashe, Siamuchembu, Maphios, Jamela, Rorisang, Machiri, Marvellous, Mushiwokufa, Willard, Chimhina, Maxwell, Chinyowa, Simbarashe, Glasbey, James, Ademuyiwa, Adesoji, Adisa, Adewale, AlAmeer, Ehab, Arnaud, Alexis P, Ayasra, Faris, Azevedo, José, Minaya-Bravo, Ana, Costas-Chavarri, Ainhoa, Edwards, John, Elhadi, Muhammed, Fiore, Marco, Fotopoulou, Christina, Gallo, Gaetano, Ghosh, Dhruva, Griffiths, Ewen A, Harrison, Ewen, Hutchinson, Peter, Lawani, Ismail, Lawday, Samuel, Lederhuber, Hans, Leventoglu, Sezai, Li, Elizabeth, Gomes, Gustavo Mendonça Ataíde, Mann, Harvinder, Marson, Ella J, Martin, Janet, Mazingi, Dennis, McLean, Kenneth, Modolo, Maria, Moore, Rachel, Morton, Dion, Ntirenganya, Faustin, Pata, Francesco, Picciochi, Maria, Pockney, Peter, Ramos-De la Medina, Antonio, Roberts, Keith, Roslani, April Camilla, Kottayasamy Seenivasagam, Rajkumar, Shaw, Richard, Simões, Joana Filipa Ferreira, Smart, Neil, Stewart, Grant D, Sullivan, Richard, Sundar, Sudha, Tabiri, Stephen, Taylor, Elliott H, Vidya, Raghavan, Nepogodiev, Dmitri, Bhangu, Aneel, Glasbey, James C, McLean, Kenneth, Nepogodiev, Dmitri, Harrison, Ewen, Bhangu, Aneel A, Nepogodiev, Dmitri, Siaw-Acheampong, Kwabena, Benson, Ruth A, Bywater, Edward, Chaudhry, 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Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Shah, K, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Kyriacou, H, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Smith, M, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Gupta, S, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Nazarian, S, Parmar, C, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, Lindsay, J, McClung, A, McLaughlin, N, Watson, S, Whiteside, E, Alyacoubi, S, Arumugam, V, Beg, R, Dawas, K, Garg, S, Lloyd, ER, Mahfouz, Y, Manobharath, N, Moonesinghe, R, Morka, N, Patel, K, Prashar, J, Yip, S, Adeeko, ES, Ajekigbe, F, Bhat, A, Evans, C, Farrugia, A, Gurung, C, Long, T, Malik, B, Manirajan, S, Newport, D, Rayer, J, Ridha, A, Ross, E, Saran, T, Sinker, A, Waruingi, D, Allen, R, Al Sadek, Y, Alves do Canto Brum, H, Asharaf, H, Ashman, M, Balakumar, V, Barrington, J, Baskaran, R, Berry, A, Bhachoo, H, Bilal, A, Boaden, L, Chia, WL, Covell, G, Crook, D, Dadnam, F, Davis, L, De Berker, H, Doyle, C, Fox, C, Gruffydd-Davies, M, Hafouda, Y, Hill, A, Hubbard, E, Hunter, A, Inpadhas, V, Jamshaid, M, Jandu, G, Jeyanthi, M, Jones, T, Kantor, C, Kwak, SY, Malik, N, Matt, R, McNulty, P, Miles, C, Mohomed, A, Myat, P, Niharika, J, Nixon, A, O‚ÄôReilly, D, Parmar, K, Pengelly, S, Price, L, Ramsden, M, Turnor, R, Wales, E, Waring, H, Wu, M, Yang, T, Ye, TTS, Zander, A, Zeicu, C, Bellam, S, Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Cheung, J, Hollingshead, J, Page, V, Sugarman, J, Wong, E, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Kennedy, N, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, Smith, H, Al Bakry, M, Ashwell, W, Bajaj, S, Bandyopadhyay, D, Browlee, O, Burway, S, Chand, CP, Elsayeh, K, Elsharkawi, A, Evans, E, Ferrin, S, Fort-Schaale, A, Iacob, M, I, K, Impelliziere Licastro, G, Mankoo, AS, Olaniyan, T, Otun, J, Pereira, R, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Houlden, C, Knight, C, Metezai, H, Mirza-Davies, A, Seymour, Z, Spink, D, and Wischhusen, S
Abstract: Pulmonary complications are the most common cause of death after surgery. This study aimed to derive and externally validate a novel prognostic model that can be used before elective surgery to estimate the risk of postoperative pulmonary complications and to support resource allocation and prioritisation during pandemic recovery.
Published: 2024
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16. Design and optimization of semicircular offshore barrier with wave deflector

Author: Jithin, A. J., Salam, Mohamed Shahzad Abdul, Vivek, A. V., Devanarayanan, J., Subash, Nithin Eldho, and Joseph, P. P. Alex
Published: 2024
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17. Designing of halogenated and traditional donor–acceptors composites for high-performance nonlinear optical applications

Author: Sarwar, Fatima, Saeed, Shahzad Ahmed, Althobiti, Randa A., Muhammad, Shabbir, Al-Sehemi, Abdullah G., Alarfaji, Saleh S., Algarni, H., and Chaudhry, Aijaz Rasool
Abstract: Graphical abstract:
Published: 2024
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18. An evolutionary deep learning model based on XGBoost feature selection and Gaussian data augmentation for AQI prediction

Author: Qian, Shijie, Peng, Tian, Tao, Zihan, Li, Xi, Nazir, Muhammad Shahzad, and Zhang, Chu
Abstract: Accurate prediction of air quality is crucial for ensuring the scientific validity and effectiveness of air pollution control measures. This study proposes a combined deep learning (DL) model (XGBoost-GDA-TCN-IMRFO-GRU) for predicting hourly air quality index (AQI) data in four cities. The model integrates Extreme gradient boosting (XGBoost) for feature selection, Gaussian data augmentation (GDA), improved manta ray foraging optimization (IMRFO) algorithm, temporal convolutional network (TCN), and gated recurrent unit (GRU). XGBoost calculates the scores of pollutant gases affecting AQI, selecting the top four important pollutants (PM2.5, PM10, NO2, O3) based on their importance rankings. GDA enhances the robustness of the DL models and addresses the limitations of insufficient and overfitting training datasets. Additionally, the IMRFO algorithm, with two improved strategies, is applied to enhance the GRU model. TCN extracts spatiotemporal features of AQI, while GRU constructs a temporal model for efficient computations. Compared to eleven benchmark models, the proposed model demonstrates superior performance in terms of MAE, RMSE, MAPE, and NSE, achieving high accuracy and optimal prediction performance. Specifically, the XGBoost-GDA-TCN-IMRFO-GRU model reduces RMSE, MAE, and MAPE by 33–60 %, 39–68 %, and 39–66 %, respectively, compared to the TCN model. Therefore, the XGBoost-GDA-TCN-IMRFO-GRU model can provide reliable early warnings for air quality, which is of great significance for air pollution prevention and the sustainable development of society.
Published: 2024
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19. Buongiorno Model of Micropolar Nanofluid with Surface Inclination and Soret Effect

Author: Rafique, Khuram, Alqahtani, Aisha M., Ahmad, Shahzad, Alotaibi, Hammad, Khan, Ilyas, and Singh, Abha
Abstract: These days, innovation in nanostructures, which are distinguished by their exploratory use in a variety of biological applications, is a result of the advancement of nanotechnology. Over the last few decades, advances in nanoscience, nanotechnology, and thermal engineering have culminated in the multidisciplinary topic of nanofluid technology. Novel features found in nanofluids have the potential to be applied in a wide range of fields, including biotechnology, information technology, food and agriculture, national security and defense, aerospace, the plastics and textile industries, energy and the environment, cosmetics, and health and medicine. In this analysis, energy and mass transport rate of nanoliquid with micro-rotation impacts have been discussed. Furthermore, Soret impact, radiations, and stagnation motion are discussed in detail. The boundary layer equations are converted into (ODE’s) ordinary differential equations and elucidated the results numerically employing the Keller box technique. We established the enhancement in the temperature profile against the growth of thermal radiation parameter. Further, the increment in Soret factor presents concentration profile increases. The impact of Brownian motion on nanoparticles enhanced the temperature profile. This study will help to control the cooling process in industry and engineering applications.
Published: 2024
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20. Phytogenic Synthesis of Facile NiO-PdO-Pd Nanocomposite: Green Photocatalyst for Fast Degradation of Organic Pollutant

Author: Iram, Sadia, Ahmad, Khuram Shahzad, Shaheen, Irum, Aljuwayid, Ahmed M., and Malik, Mohammad Azad
Abstract: The sustainable and effective nanomaterials for photocatalyst are greatly enviable to protect water bodies from organic waste. In this regard, nanocomposite of NiO-PdO-Pd was prepared via sol gel route using organic pattern and scrutinized catalytic agent for remediation of methyl orange (MO) in water. Verification of phase formation in obtained product was done utilizing X-ray diffraction, energy-dispersive spectroscopic analysis, along with Raman spectroscopy while the nano-structures were explored using FE-scanning electron microscopy. Existence of organic functional groups (OFGs) in the obtained product was revealed using Fourier-transform-infrared spectroscopy along with gas-chromatography-mass spectrometry. Functionalized nanocomposite (FN) was studied for degradation of MO both under solar light and under dark environment. Organic compound incorporated NiO-PdO-Pd has demonstrated outstanding catalytic behavior with 96% and 76% degradation of MO under light as well as under dark, within 15 min. Additionally, catalyst has proved to be having excellent stability with pseudo-first-order kinetics under light (R2= 0.86) and under dark conditions (R2= 0.94).
Published: 2024
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21. Sustainable production and characterization of integrated composting systems of organic biomass and inorganic amendments

Author: Noor, Rana Shahzad, Sun, Yong, Aslam, Waqas, and Umair, Muhammad
Abstract: Abstract: Organic production of agricultural waste and animal manure lead generation of vast quantity of wastes. Inefficient management of these agroindustrial wastes causes a serious threat to the environment. Biological waste treatment technology cocomposting is an aerobic digestion (AD) of organic wastes mixes, aiming to obtain compost regarded as a sustainable and clean environment method for nutrient recovery. Compared with conventional cocomposting methods, integrated composting is not merely the cocomposting of organic biomass amended with inorganic contents to initiate and sustain the biodegradation process but also to obtain added value compost with designed characteristics. The setup of appropriate integrated composting protocols can be the way to optimize the management of organic waste and to improve production process and also product nutritional contents. Therefore, this research study focused on the viability of cocomposting organic biomass with or without inorganic amendments to obtain added-value compost with enhanced nutritional characteristics. Substrate combinations derived from the solid fraction of digestate (SFD), agricultural (lignocellulosic) biomass, and bulking material (sawdust, peanut shell, and green yard waste) with or without inorganic amendments were cocomposted in a controlled composting system. During the composting process, the temperature of composting material and physicochemical, chemical, and maturity characteristics were monitored. Potential added-value characteristics such as biomethane production (BMP) and physical and microbial characteristics of matured compost were determined. Maximum temperatures reached a thermophilic range (< 60°C), which was lower than sanitizing temperatures set by the United States Environmental Protection Agency (USEPA). The bulking material showed the positive effect, reducing the EC (less than 5 dS m−1) and N losses up to (10–13%) during integrated composting, while amendment of inorganic content did not alter the composting process but enhanced nutritional characteristics (micro- and macro elements) of the compost obtained. This pilot scale integrated composting facility evaluated production characteristics of composting process; the integrated composts showed optimal degree of stability and maturity depicting appropriate physical characteristics to be used as organic fertilizer. Further studies into the optimal rate of amending inorganic ingredients and evolution of nutritional values are recommended for integrated composting. Graphical Abstract:
Published: 2024
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22. Efficient Catalytic Production of Reactive Oxygen Species through Piezoelectricity in Bismuth Sulfide Rich in Sulfur Vacancies

Author: Zhou, Xiaofeng, Liu, Jinzhou, Ali, Shahzad, Shen, Bo, Zhai, Jiwei, Hedin, Niklas, and Yuan, Jiayin
Abstract: Sulfur (S) vacancies in metal sulfides are of interest in electrocatalysis and photoelectronics, but their effect on the generation of reactive oxygen species (ROS) during mechanical catalysis is unclear. This study investigates the impact of S-vacancies in defective bismuth sulfide (Bi2S3–x) on ROS production under ultrasonic irradiation and organic contaminant decomposition. S-vacancies disrupt the centrosymmetric structure of intrinsic Bi2S3, inducing piezoelectric effects and enhancing the electrical energy in Bi2S3–x. The positively charged S-vacancies in Bi2S3–xpromote the separation of ultrasound-activated electron–hole pairs by capturing electrons. As a result, the optimal rate of H2O2formation and the reaction rate constant for degrading Rhodamine B dye on Bi2S3–xare found to be 1.9 and 37 times higher, respectively, than those on Bi2S3under ultrasonic irradiation. The nonzero catalytic efficiency in centrosymmetric Bi2S3is due to the flexoelectric catalytic effect from nonuniform strain. These results guide the piezocatalyst design and elucidate mechanical catalysis mechanisms.
Published: 2024
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23. Application of Foam for Enhanced CO2 Geological Storage: A Mini-Review.

Author: Bashir, Ahmed, Abdulmoniem, Mohammed, Gbadamosi, Afeez, Patil, Shirish, Aljawad, Murtada Saleh, Mahmoud, Mohamed, and Kamal, Muhammad Shahzad
Published: 2024
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24. Application of Foam for Enhanced CO2Geological Storage: A Mini-Review

Author: Bashir, Ahmed, Abdulmoniem, Mohammed, Gbadamosi, Afeez, Patil, Shirish, Aljawad, Murtada Saleh, Mahmoud, Mohamed, and Kamal, Muhammad Shahzad
Abstract: Global climate change is one of the most pressing environmental challenges facing the world, and numerous efforts are currently being undertaken to mitigate and reverse the effects. Carbon dioxide (CO2) is a major contributor to greenhouse gas emissions, totaling 76% of emissions. Hence, numerous methods have been proposed and utilized to convert, utilize, or permanently store CO2. A typical example is the dual application of CO2for enhanced oil recovery (EOR) and subsequent storage, which is highly required in the oil and gas industry due to the widespread availability of marginal fields and depleted oil reservoirs. Nonetheless, the injection of pure CO2into underground geologic formations faces some challenges owing to its high mobility, which can cause early breakthrough of the injected gas. As a result of these challenges, a significant amount of hydrocarbon is bypassed during the EOR process, which leads to poor sweep efficiency. To address these challenges, the utilization of CO2foam for EOR and subsequent storage is being examined. Foam enhances storage capacity by increasing a reservoir’s sweep efficiency and minimizing early breakthrough, which allows more CO2to fill the empty pore spaces. In this paper, the application of CO2foam for EOR and CO2geological storage (geo-storage) is reviewed. First, an overview of the CO2foam flooding process is provided. Moreover, the trapping mechanism of CO2geo-storage by foam is discussed. Besides, existing experimental studies on improving the storage capacity of CO2are analyzed. Finally, the technical challenges facing the application of CO2foam are identified, and recommendations for future research are offered.
Published: 2024
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25. Engineering Approaches for Exosome Cargo Loading and Targeted Delivery: Biological versus Chemical Perspectives

Author: Ahmed, Waqas, Mushtaq, Asim, Ali, Shahzad, Khan, Nawaz, Liang, Yujie, and Duan, Li
Abstract: Exosomes are nanoscale membrane bound vesicles secreted by almost all types of cells. Their unique attributes, such as minimal immunogenicity and compatibility with biological systems, make them novel carriers for drug delivery. These native exosomes harbor proteins, nucleic acids, small molecule compounds, and fluorogenic agents. Moreover, through a combination of chemical and bioengineering methodologies, exosomes are tailored to transport precise therapeutic payloads to designated cells or tissues. In this review, we summarize the strategies for exosome modification and drug loading modalities in engineered exosomes. In addition, we provide an overview of the advances in the use of engineered exosomes for targeted drug delivery. Lastly, we discuss the merits and limitations of chemically engineered versus bioengineered exosome-mediated target therapies. These insights offer additional options for refining engineered exosomes in pharmaceutical development and hold promise for expediting the successful translation of engineered exosomes from the bench to the bedside.
Published: 2024
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26. Insights of temperature-dependent fluid characteristics on micropolar material in a rotating frame with cubic autocatalysis chemical reaction

Author: Khattak, Shahzad, Khan, Muhammad Naveed, Riaz, Muhammad Bilal, Lu, Dianchen, Hussien, Mohamed, Albalwi, M Daher, and Jhangeer, Adil
Abstract: The diverse use of heat and mass transport mechanisms on three-dimensional rotating systems has been discovered to improve the efficiency of several physiological and industrial processes. These include, for example, fiber technology, the process of extrusion, and polymer extraction. The purpose of this dissertation is to investigate the transportation of mass and heat in the flow of non-Newtonian fluid processing vortex viscosity and micro-inertial features along two horizontal plates in a rotating scenario. The thermal transport process is influenced by physical parameters such as irregular heat generation/absorption rate, linear radiative heat flow, variable thermal conductivity, and mass diffusion with cubic autolysis chemical reaction. After enforcing conservation laws, a simple constitutive equations are modelled in a rotating system. The mathematical formulation is converted into a dimensionless format by applying comparable variables. The bvp4c process is used to execute numerical experiments to arrive at the numerical solution for the governing problem. Through sketching, the related distribution (velocity, micro rotation, velocity, and concentration) is presented concerning the various parameters. Tabular data provides insights into relevant quantities against different parameters. The credibility of computed results is assumed by agreeing with previous studies.Graphical AbstractThe velocity variation for different values of Reynolds number. It is analysed from the sketch that stronger values of the Reynolds number improve the fluid near the lower plate but as we move towards upper plate flow is reduced.
Published: 2024
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27. LMWH prevents thromboinflammation in the placenta via HBEGF-AKT signaling

Author: Singh, Kunal Kumar, Gupta, Anubhuti, Forstner, Désirée, Guettler, Jacqueline, Ahrens, Mirjam Susanne, Prakasan Sheeja, Akshay, Fatima, Sameen, Shamkeeva, Saikal, Lia, Massimiliano, Dathan-Stumpf, Anne, Hoffmann, Nikola, Shahzad, Khurrum, Stepan, Holger, Gauster, Martin, Isermann, Berend, and Kohli, Shrey
Abstract: •LMWH prevents NLRP3 inflammasome activation and placental thromboinflammation in a PE-like mouse model.•LMWH activates HBEGF-AKT pathway in trophoblasts and human placental explants, preventing inflammasome activation independent of platelets.
Published: 2024
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28. The ribosome lowers the entropic penalty of protein folding

Author: Streit, Julian O., Bukvin, Ivana V., Chan, Sammy H. S., Bashir, Shahzad, Woodburn, Lauren F., Włodarski, Tomasz, Figueiredo, Angelo Miguel, Jurkeviciute, Gabija, Sidhu, Haneesh K., Hornby, Charity R., Waudby, Christopher A., Cabrita, Lisa D., Cassaignau, Anaïs M. E., and Christodoulou, John
Abstract: Most proteins fold during biosynthesis on the ribosome1, and co-translational folding energetics, pathways and outcomes of many proteins have been found to differ considerably from those in refolding studies2–10. The origin of this folding modulation by the ribosome has remained unknown. Here we have determined atomistic structures of the unfolded state of a model protein on and off the ribosome, which reveal that the ribosome structurally expands the unfolded nascent chain and increases its solvation, resulting in its entropic destabilization relative to the peptide chain in isolation. Quantitative 19F NMR experiments confirm that this destabilization reduces the entropic penalty of folding by up to 30 kcal mol−1and promotes formation of partially folded intermediates on the ribosome, an observation that extends to other protein domains and is obligate for some proteins to acquire their active conformation. The thermodynamic effects also contribute to the ribosome protecting the nascent chain from mutation-induced unfolding, which suggests a crucial role of the ribosome in supporting protein evolution. By correlating nascent chain structure and dynamics to their folding energetics and post-translational outcomes, our findings establish the physical basis of the distinct thermodynamics of co-translational protein folding.
Published: 2024
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29. Creating a sustainable future through Industry4.0 technologies: Untying the role of circular economy practices and supply chain visibility

Author: Junaid, Muhammad, Du, Jianguo, Mubarik, Muhammad Shujaat, and Shahzad, Fakhar
Abstract: The intersection of Industry 4.0 technology (I4.0‐Tech) with sustainability (SUS) remains largely unexplored, particularly due to its interactions with supply chain visibility (SCV) and circular economy practices (CEP). To fill this gap, our study empirically examines I4.0‐Tech's impact on SUS through SCV and CEP. We utilized structural equation modeling to test the hypothesized relationships using data from a survey of 344 medium and large Chinese firms. The empirical findings support the indirect role of I4.0 through SCV, and CEP. I4.0‐Tech enables real‐time material and product tracking for SCV. Optimizing material utilization, fostering closed‐loop supply chains, and allowing circular product design enhance CEP. Furthermore, our findings show a positive relationship between SCV, CEP, and SUS. This highlights the need for robust supply chain capabilities in enabling I4.0‐Tech to drive SUS. This paradigm emphasizes recalibrating approaches to SCV and CEP‐focused frameworks to easily include and exploit I4.0‐Tech. This study contributes to the literature and gives actionable insights for managers and policymakers wanting to synergize I4.0‐Tech, SCV, and CEP in industrial processes to promote sustainability goals and a sustainable future.
Published: 2024
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30. Deciphering the energy storage and electro‐catalytic potential of the BaLa2MnS5ternary metallic sulfide prepared via single source precursor route

Author: Jaffri, Shaan Bibi, Ahmad, Khuram Shahzad, Lin, Wang, Gupta, Ram K., Ashraf, Ghulam Abbas, and Alothman, Asma A.
Abstract: The present work elucidates the first report on the synthesis and energy applications of the novel BaLa2MnS5prepared from single source precursor route. This metal chalcogenide expressed a tuned band gap of 3.84 eV and an average crystallite size of 20.52 nm. Functional groups explored for BaLa2MnS5expressed strong signals for presence of the metal sulfide bonds. The thermal decomposition pattern of BaLa2MnS5followed a two‐phased mechanism. Synthesized metal sulfide possessed an irregular morphology with particles arranged in random manner. An assessment of the chalcogenide BaLa2MnS5for energy applications has been carried out. When employed as an electrode material in 1 M KOH, which acted as the background electrolyte, BaLa2MnS5chalcogenide showed a specific capacitance of 597 F g−1. Furthermore, this BaLa2MnS5chalcogenide decorated electrode has a low resistance, as shown by the Rsof 1.35 Ω, and a specific power density of 7366 W kg−1, according to the impedance investigations. The electrochemical results for the OER activity are indicative of the OER overpotential and Tafel slope values as 388 mV and 108 mV/dec. This electrode achieved the HER overpotential value of 241 mV while the obtained Tafel slope was 194 mV/dec. Mixed metal chalcogenides prepared via dithiocarbamate precursor route has profound potential for electrochemical charge storage.
Published: 2024
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31. Optimizing cultural conditions and pretreatment for high-value single-cell protein from vegetable waste

Author: Shahzad, Hafiz Muhammad Aamir, Asim, Zukhruf, Mahmoud, Khaled A., Abdelhadi, Omer M.A., Almomani, Fares, and Rasool, Kashif
Abstract: The study aimed to produce single-cell protein (SCP) from vegetable waste through solid-state fermentation (SSF) using tomato, capsicum, eggplant, and cucumber waste. Three yeast strains, namely Candida tropicalis, Candida krusei, and Saccharomyces cerevisiaewere selected to optimize cultural conditions without pretreatment of the substrate to obtain a higher yield of SCP. The study identified the best-performing yeast strains and optimized the acid and thermal hydrolysis pretreatment of vegetable waste using central composite design by response surface methodology. The substrate was pretreated with varying concentrations of sulfuric acid (2 %, 4 %, and 6 % w/v) at temperatures of 120°C, 140°C, and 160°C. The study demonstrated that SCP production could be enhanced with the acid and thermal hydrolysis of nutrient-supplemented vegetable waste by using optimized cultural conditions. Without pretreatment of vegetable waste, the yeast combination of Saccharomyces cerevisiaeand Candida tropicalisachieved a maximum protein content of 10.8 mg/g of dry biomass (an increment of 63.6 % compared to control). With the same yeast strains, pretreatment of vegetable waste (with 4 % sulfuric acid at 140°C) and supplemented with a nutrient source increased SCP production to 21.9 and 31.7 mg/g (an increment of 231.8 % and 375.8 % compared to control), respectively. The study's findings suggest that SCP production from vegetable waste can be optimized through SSF and acid-thermal hydrolysis pretreatment, which could be a promising approach for efficient waste management.
Published: 2024
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32. Salvage Reconstruction of Composite Defects of the Anterior Mandible, Floor of Mouth, and Lip

Author: Khalid, Farrukh A., Ahmed, Omar A., Khurshid, Almeotan P., Mujahid, Abdul M., Ahmad, Junaid, Saleem, Muhammad, Yousaf, Muhammad A., Tarar, Moazzam N., and Shahzad, Farooq
Published: 2024
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33. A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials

Author: Jeliazkova, Nina, Longhin, Eleonora, El Yamani, Naouale, Rundén-Pran, Elise, Moschini, Elisa, Serchi, Tommaso, Vrček, Ivana Vinković, Burgum, Michael J., Doak, Shareen H., Cimpan, Mihaela Roxana, Rios-Mondragon, Ivan, Cimpan, Emil, Battistelli, Chiara L., Bossa, Cecilia, Tsekovska, Rositsa, Drobne, Damjana, Novak, Sara, Repar, Neža, Ammar, Ammar, Nymark, Penny, Di Battista, Veronica, Sosnowska, Anita, Puzyn, Tomasz, Kochev, Nikolay, Iliev, Luchesar, Jeliazkov, Vedrin, Reilly, Katie, Lynch, Iseult, Bakker, Martine, Delpivo, Camila, Sánchez Jiménez, Araceli, Fonseca, Ana Sofia, Manier, Nicolas, Fernandez-Cruz, María Luisa, Rashid, Shahzad, Willighagen, Egon, D Apostolova, Margarita, and Dusinska, Maria
Abstract: Making research data findable, accessible, interoperable and reusable (FAIR) is typically hampered by a lack of skills in technical aspects of data management by data generators and a lack of resources. We developed a Template Wizard for researchers to easily create templates suitable for consistently capturing data and metadata from their experiments. The templates are easy to use and enable the compilation of machine-readable metadata to accompany data generation and align them to existing community standards and databases, such as eNanoMapper, streamlining the adoption of the FAIR principles. These templates are citable objects and are available as online tools. The Template Wizard is designed to be user friendly and facilitates using and reusing existing templates for new projects or project extensions. The wizard is accompanied by an online template validator, which allows self-evaluation of the template (to ensure mapping to the data schema and machine readability of the captured data) and transformation by an open-source parser into machine-readable formats, compliant with the FAIR principles. The templates are based on extensive collective experience in nanosafety data collection and include over 60 harmonized data entry templates for physicochemical characterization and hazard assessment (cell viability, genotoxicity, environmental organism dose-response tests, omics), as well as exposure and release studies. The templates are generalizable across fields and have already been extended and adapted for microplastics and advanced materials research. The harmonized templates improve the reliability of interlaboratory comparisons, data reuse and meta-analyses and can facilitate the safety evaluation and regulation process for (nano) materials.
Published: 2024
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34. Patient-Reported Outcomes and Complications of Simultaneous versus Staged Surgical Decompression for Tandem Spinal Stenosis

Author: Hussain, Mustafa Mushtaq, Khalil, Mujtaba, Suleman, Fatima, Ali, Iqra Fatima Munawar, Masroor, Mehar, and Shamim, Muhammad Shahzad
Published: 2024
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35. Efficacy of clove oil and rosewood oil as anesthetics on goldfish (Carassius auratus)

Author: Karim, Aasia, Mudassar Shahzad, Muhammad, Kamal, Khadija, Khwaja, Sobia, Ijaz, Ambreen, and Imtiaz, Samreen
Abstract: Anesthetics have an essential role in aquaculture operations because they minimize physical injury during various handling practices such as sampling, weighing, length measurement and tagging, which decreases stress on fish. Many fish farmers are involved in using alternative fish anesthetic agents with minimal side effects to life such as herbal essential oils. This study aims at investigating the efficacy of clove oil and rosewood oil as anesthetics on goldfish Carassius auratus.Anesthesia effect of both oils was tested in six different concentrations (i.e., 100, 150, 200, 250, 300 and 350 mg/l of water) on ten fish between 6–25 g weight and 9–14 cm length. The efficacy of both oils was assessed on the basis of the fish behavior. The induction time (min) was assessed by loss of swimming (LS), partial loss of equilibrium (PLE), final loss of equilibrium (FLE), and medullar collapse (Mc). The fish were observed for balance and response to a tactile stimulus in each treatment. Both clove oil and rosewood oil contributed well as anesthetics as they caused loss of equilibrium and swimming ability in the goldfish. In contrast, clove oil generated more rapid induction, prolonged recovery, and a narrow margin of safety. Fish farmers should use natural and environment friendly anesthetic agents instead of chemical ones, as they may alter negatively the growth and health of fish.
Published: 2024
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36. A systematic review and expert Delphi Consensus recommendation on the use of vaccines in patients receiving dupilumab: A position paper of the American College of Allergy, Asthma and Immunology

Author: Lieberman, Jay A., Chu, Derek K., Ahmed, Tasnuva, Dribin, Timothy E., Abrams, Elissa M., Anagnostou, Aikaterini, Blumenthal, Kimberly G., Boguniewicz, Mark, Chase, Nicole M., Golden, David B.K., Hartog, Nicholas L., Heimall, Jennifer R., Ho, Tina, Lawrence, Monica G., Khan, David A., Minniear, Timothy Dean, Mustafa, S. Shahzad, Oppenheimer, John J., Phillips, Elizabeth J., Ramsey, Allison, Rider, Nicholas L., Schneider, Lynda, Shaker, Marcus S., Spergel, Jonathan M., Stone, Cosby A., Stukus, David R., Wang, Julie, and Greenhawt, Matthew J.
Abstract: Dupilumab is a monoclonal antibody that targets the interleukin (IL)-4 receptor alpha subunit, thus blocking the effects of IL-4 and IL-13, and has shown efficacy in treating various conditions including asthma, atopic dermatitis, eosinophilic esophagitis, and others. Because of its immune modulatory effects, clinical trials that studied dupilumab did not allow patients to receive live vaccines during the clinical trials because of an abundance of caution, and thus package inserts recommend that patients who are being treated with dupilumab should avoid live vaccines. Because dupilumab is now approved for use in patients from 6 months of age for the treatment of atopic dermatitis, this reported contraindication is now posing a clinical dilemma for patients and clinicians.
Published: 2024
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37. Disclosing the Nitrogen Sources via Isotope Labeling Technique and the Formation Mechanism of Pyrazine and Alkylpyrazines during the Heat Treatment of N‑(1-Deoxy‑d‑xylulos-1-yl)-alanine and Exogenous Alanine.

Author: Zhou, Tong, Huang, Meigui, Cui, Heping, Hussain, Shahzad, Hayat, Khizar, Zhang, Xiaoming, and Ho, Chi-Tang
Published: 2024
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38. Patient satisfaction with Saudi community pharmacy services (Wasfaty System).

Author: Alzahrani, Ali M., Felix, Holly C., Alzhrani, Abdulrhman A., Alharbi, Khulud K., Arbaein, Turky J., Shahzad, Muhammad W., and Monshi, Sarah S.
Abstract: Copyright of Journal of Taibah University Medical Sciences is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Published: 2024
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39. Midterm follow-up of the Nexel total elbow arthroplasty.

Author: Ahmed, Adil Shahzad, Clifton, Thomas, Subbiah, Kushalappa, Spasojevic, Milos, Young, Allan, Cass, Benjamin, Marmen, Andréanne, Yu, Raymond, Burton, Codey, Smith, Margaret M., and Hughes, Jeffery
Abstract: Aseptic loosening is one of the most common complications of total elbow arthroplasty (TEA). Modern implants, such as the Nexel, have been designed in an attempt to decrease loosening. The present study aims to report implant survivorship, radiographic assessment of loosening and lucency, and patient-reported outcome measures (PROMs) in patients treated with the Nexel TEA at midterm follow-up. Consecutive series of adult patients underwent TEA using the Nexel by a single surgeon via standardized technique. Patients with minimum 3-year follow-up with radiographic and PROM data were included. Survivorship was defined by the absence of revision. Loosening was assessed via the Wrightington method by 3 independent fellowship-trained shoulder and elbow surgeons. Lucency was analyzed across individual radiographic zones on orthogonal radiographs. PROMs included the Quick Disabilities of the Arm, Shoulder, and Hand questionnaire (QuickDASH), Patient-Rated Elbow Evaluation (PREE), and EuroQoL–5 Dimensions (EQ-5D). Thirty-eight consecutive patients (22 female, 16 male) with a mean age of 67 years underwent TEA via a triceps-sparing isolated medial window approach. Mean follow-up was 5.5 years (range 3-9). Primary diagnoses were as follows: 19 osteoarthritis (OA), 9 rheumatoid arthritis (RA), 9 post-traumatic arthritis (PA), and 1 conversion of elbow arthrodesis. Overall survivorship was 97.4%, with 1 patient undergoing revision for infection. Loosening was found in 5.3% of elbows, averaged across 3 observers. Lucency was most pronounced at the level of the humeral condyles. PROMs demonstrated significant and clinically meaningful improvements in 76%, 92%, and 73% of patients for QuickDASH, PREE, and EQ-5D, respectively. No significant correlations were found between patient age, gender, loosening, lucency, and PROMs. At midterm follow-up, the Nexel TEA demonstrated excellent overall survivorship and low rate of implant loosening. The single failure requiring revision for infection was conversion of a prior elbow arthrodesis. PROMs overall exhibited marked and consistent improvement from preoperative to final postoperative follow-up. Although promising, these results should be interpreted with some caution as long-term data regarding this prosthesis are still lacking. [ABSTRACT FROM AUTHOR]
Published: 2024
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40. Accelerated Degradation of DiXyl-α,ε-Lys-ARP via Interaction between Extra-Added Xylose and Monosubstituted Lys-ARPs during Maillard Reaction.

Author: Han Zhang, Heping Cui, Xue Xia, Hussain, Shahzad, Hayat, Khizar, Xiaoming Zhang, and Chi-Tang Ho
Published: 2024
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41. Local Delivery of Dual Stem Cell-Derived Exosomes Using an Electrospun Nanofibrous Platform for the Treatment of Traumatic Brain Injury.

Author: Jiaojiao Li, Xuran Li, Xiangyu Li, Zhanping Liang, Zhao Wang, Khawar Ali Shahzad, Maoxiang Xu, and Fei Tan
Published: 2024
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42. Leveraging Multiomics Insights and Exploiting Wild Relatives' Potential for Drought and Heat Tolerance in Maize.

Author: Jamil, Shakra, Ahmad, Shakeel, Shahzad, Rahil, Umer, Noroza, Kanwal, Shamsa, Rehman, Hafiz Mamoon, Rana, Iqrar Ahmad, and Atif, Rana Muhammad
Published: 2024
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43. Determinants of Stock Price Volatility: An Empirical Investigation of Firms in Textile Sector of Pakistan.

Author: Iqbal, Muhammad Shahzad, Awais-E-Yazdan, Muhammad, Mushtaq, Mudassar, Birau, Ramona, Ninulescu, Petre Valeriu, and Cirjan, Nadia Tudora
Subjects: DEBT-to-equity ratio, TEXTILE industry, MARKET prices, RATE of return, EMERGING markets
Abstract: The study examines the effect of return on equity (REO), sales growth (SG), debt to equity ratio (DER), Cash Ratio (CR) company size (CS) and Dividend pay-out ratio (DPR) on stock price volatility (SPV) by analyzing the financial data of 134 firms of textile sector of Pakistan. The study based on Pakistani textile sector which is one of the major pillars of the economy. It contributes 8.5% in GDP of Pakistan and employees more than 45% of labour. The data was collected from firms listed in Pakistan Stock Exchange (PSX) for the years of 2008 to 2019. The data was analysed through E-views and the results show that Return on equity (ROE) and sales growth (SG) has positive significant relation with stock price volatility (SPV). There is positive relation between debt-to-equity ratio (DER) and stock price volatility (SPV). The study further shows that company size (CS) and cash ratio (CR) has negative significant relation. The study highlights the factors that bring volatility in stock price and the principal variables to keep in mind while making investment decision. [ABSTRACT FROM AUTHOR]
Published: 2024

44. Socioeconomic Impact of Demographic Change: Do Dividends Exist and are they Gendered?

Author: ANSER, MUHAMMAD KHALID, TUFAIL, SAIRA, BUKHARI, MISHA, ALVI, SHAHZAD, and WANG HUIZHEN
Subjects: FINANCIAL globalization, DEMOGRAPHIC change, DIVIDENDS, GENDER, DEMOGRAPHIC transition, PRICE inflation
Abstract: The research aims to determine the presence of demographic dividends and analyze their gender-specific characteristics. For this purpose, the influence of the total working-age population and the working-age population disaggregated by gender on the socioeconomic outcomes of countries categorized into early-demographic, latedemographic, pre-demographic, and post-demographic transition groups is investigated. The results demonstrated the presence of demographic dividends in both early and late-demographic transition countries. This phenomenon can be attributed to the male working-age population in the case of early-demographic transition countries, whereas for late-demographic transition countries, both genders contribute to this realization. Moreover, the analysis indicated that inflation, globalization, and financial development positively impact socioeconomic performance, whereas trade openness and corruption are associated with a decline in socioeconomic performance. The study highlights the underutilization of the female working population, emphasizing that without their active participation, the dividends of economic participation may either remain unrealized or, if achieved, may not be sustained. [ABSTRACT FROM AUTHOR]
Published: 2024
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45. A Hybrid PSO Based Algorithm for Solving the Machine-Part Cell Formation Problem.

Author: Tariq, Adnan, Javaid, Waqas, Shahzad, Waseem, Yasir, Muhammad, and Iqbal, Shahid
Published: 2024
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46. Direct Methanol Fuel Cell with Porous Carbon-Supported PtRu Single-Atom Catalysts for Coproduction of Electricity and Value-Added Formate.

Author: Ahmad, Munir, Hussain, Muhammad Bilal, Chen, Jiahui, Yang, Yang, Wu, Xuexian, Chen, Hao, Afzal, Shahzad, Raza, Waseem, Zeng, Zhengxin, Ye, Fei, Zhao, Xueyang, Zhang, Jiujun, Feng, Renfei, Fu, Xian-Zhu, and Luo, Jing-Li
Published: 2024
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47. Multi- classification of skin lesions using a deep learning-based convolutional neural network.

Author: Shahzad, Khadija, Wasim, Muhammad, Pires, Ivan Miguel, and Garcia, Nuno M.
Subjects: CONVOLUTIONAL neural networks, BASAL cell carcinoma, SKIN cancer, COMPUTER-aided diagnosis, SKIN diseases, DEEP learning, NEVUS
Abstract: Skin lesions refer to changes or abnormalities on the skin, such as moles, freckles, cysts, warts, and more. While not all skin lesions are cancerous, some types can indicate or develop into skin cancer. Skin cancer has been on the rise in recent years, causing many deaths. However, manual examination by dermatologists is expensive and time-consuming. Research in this field has focused on developing an automated system to detect skin cancer and reduce the associated mortality rate. However, the performance of such systems needs improvement. In this study, we propose a Synthetic Minority Over-sampling Technique combined with Edited Nearest Neighbors (SMOTEENN) to augment the data, resulting in a more balanced dataset. Then, we used a Convolutional Neural Network (CNN) model on the benchmark HAM10000 dataset. The dataset comprises seven skin diseases, including Actinic Keratoses, Basal cell carcinoma, Benign keratosis, Dermatofibroma, Melanocytic nevi, Melanoma, and Vascular skin lesions. With a balanced dataset, the proposed model achieves an accuracy, precision, recall, and f1-score of 99.35%, 99.00%, 99.00%, and 99.00%, respectively. The balanced dataset performs 22% better than an unbalanced dataset. [ABSTRACT FROM AUTHOR]
Published: 2024
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48. Economics of Nations during Austerity; Does Government Size Matter?

Author: ul Mustafa, Atta, Shahzad, Khurram, and Zahoor, Zunaira
Published: 2024
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49. Challenges and opportunities in biogas conversion to microbial protein: A pathway for sustainable resource recovery from organic waste

Author: Shahzad, Hafiz Muhammad Aamir, Almomani, Fares, Shahzad, Asif, Mahmoud, Khaled A., and Rasool, Kashif
Abstract: Addressing global food security is a paramount challenge that necessitates a shift towards enhanced food self-sufficiency. The escalating demand for animal-derived proteins, such as meat and dairy, underscores the critical role of livestock farming in meeting the nutritional needs of the global population. To sustain this, protein-rich feed, essential for livestock production, consumes a considerable share of agricultural resources. Concurrently, urban expansion significantly increases organic waste, undermining both economic and environmental sustainability. This highlights the urgent need for innovative waste management solutions that bolster sustainability. Microbial protein (MP), produced by methane-oxidizing bacteria (MOB), presents a promising solution. It offers a land-independent method for producing feed for livestock and aquaculture, potentially alleviating the pressure on agricultural lands. Despite its advantages, reliance on natural gas for MP production raises sustainability concerns when compared to traditional feeds like fishmeal and soybean meal. Recent research focuses on valorizing waste materials using high-protein microorganisms for animal feed production, thereby addressing these concerns. Aerobic fermentation of methane to produce MP, utilizing methanotrophic microbes, showcases distinct advantages. These microbes produce a protein-rich biomass, containing over 75% protein, offering a viable alternative to conventional protein sources. This review explores the potential of urban biowaste valorization for MP production through the integration of anaerobic digestion (AD) and subsequent fermentation of biogas. It delves into the valorization mechanisms of biogas from AD to MP, highlighting methane's value in MP production for environmental and economic sustainability. Despite advancements, challenges such as inefficient fermenters, MOB inhibition, and safety issues hinder large-scale MP production. Further investigation into the life cycle assessment (LCA) and techno-economic analysis (TCA) of these integrated technologies is essential for enhancing and establishing a sustainable MP production system.
Published: 2024
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50. Computer-aided identification of dengue virus NS2B/NS3 protease inhibitors: an integrated molecular modelling approach for screening of phytochemicals

Author: Mufti, Isra Umbreen, Sufyan, Muhammad, Shahid, Imran, Alzahrani, Abdullah R., Shahzad, Naiyer, M. Alanazi, Ibrahim Mufadhi, Ibrahim, Ibrahim Abdel Aziz, and Rehman, Sidra
Abstract: AbstractGlobally, dengue (DENV) fever has appeared as the most widespread vector-borne disease, affecting more than 100 million individuals annually. No approved anti-DENV therapy or preventive vaccine is available yet. DENV NS3 protein is associated with protease activity and is essential for viral replication process within the host cell. NS2B is linked with NS3 protein as a cofactor. Hence, NS3/NS2B is a potential druggable target for developing inhibitors against dengue virus. In the present study, a dataset of Beta vulgarisL.-based natural compounds was developed. Virtual ligand screening of 30 phytochemicals was carried out to find novel inhibitors against the NS2B/NS3 protein. Spatial affinity, drug-likeness, and binding behaviors of selected phytochemicals were analyzed. Post-simulation analysis, including Principal Component Analysis (PCA), MMGBSA, and Co-relation analysis, was also performed to provide deep insight for elucidating protein-ligand complexes. This computer-aided screening scrutinized four potent phytochemicals, including betavulgaroside II, vitexin xyloside, epicatechin, and isovitexin2-O-xyloside inhibitors exhibiting optimal binding with viral NS3/NS2B protein. Our study brings novel scaffolds against DENV NS2B/NS3 of serotype-2 to act as lead molecules for further biological optimization. In future, this study will prompt the exploration and development of adjuvant anti-DENV therapy based on natural compounds.Communicated by Ramaswamy H. Sarma
Published: 2024
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