Author: "Jomaa A" - Searchworks@Jio Institute Digital Library Search Results

4,714 results on '"Jomaa A"'

1. Sudanese Medical Doctors’ Perceptions, Expectations, Experiences and Perceived Barriers Towards the Roles of Clinical Pharmacists: A Cross-Sectional Study

Author: Mahmoud MI, Maatoug MM, Jomaa AAAFA, and Yousif M
Subjects: physicians, clinical pharmacists, perceptions, expectations, experiences, barriers, Pharmacy and materia medica, RS1-441
Abstract: Mohammed Ibrahim Mahmoud,1 Maha Mirghani Maatoug,1 Abd Alkareem Ahmed Fadal Allah Jomaa,2 Mirghani Yousif1 1Department of Clinical Pharmacy & Pharmacy Practice, University of Gezira, Wad Medani, Gezira State, Sudan; 2Department of Pharmacology, University of Gezira, Wad Medani, Gezira State, SudanCorrespondence: Mohammed Ibrahim Mahmoud, Department of Clinical Pharmacy & Pharmacy Practice, Faculty of Pharmacy, 6 Jabra Ave, Al Khartoum, 11111, Sudan, Tel +249118208439, Fax +249183526178, Email Mohammedjrt@gmail.comPurpose: Interprofessional collaboration between physicians and clinical pharmacists has been shown to improve patients’ outcome by reduce medical errors, costs and patient adherence. Thus, the purpose of this study was to investigate the medical doctors’ perceptions, expectations, experiences, and perceived barriers regarding clinical pharmacists in Wad Medani.Methods: A cross-sectional study was conducted at five major hospitals in Wad Medani, between April and June 2021 using a self-administered questionnaire. The questionnaire was distributed among 178 physicians. The questionnaire consists of four sections, in addition to a demographic section. These four sections measure physicians’ perceptions, expectations, experience, and perceived barriers.Results: A total of 178 physicians were enrolled in the study. Physicians were comfortable with clinical pharmacists detecting and preventing prescription errors (55.1%); providing patient education (56.3%). Generally, physicians had high expectations with agreement rate of all the items ranged from 51.7% to 85.4%. Most physicians (79.8%) agreed that clinical pharmacists were a reliable source of general and clinical drug information. 64.0% and 59.0% of physicians perceive the unclear responsibility of clinical pharmacists and the lack of physicians’ experience with clinical pharmacists were barriers that can hinder clinical pharmacists’ contributions, respectively.Conclusion: Physicians had positive perceptions, expectations, and experiences with clinical pharmacists, and pointed out some barriers clinical pharmacists face. It was suggested that hospitals should recruit more clinical pharmacists to cover each unit within the hospital with clear job description and provide them CPD.Keywords: physicians, clinical pharmacists, perceptions, expectations, experiences, barriers
Published: 2022

2. Human-centered cyber-physical systems in manufacturing industry: a systematic search and review

Author: Colombathanthri, Anuradha, Jomaa, Walid, and Chinniah, Yuvin Adnarain
Published: 2025
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3. Optical, structural and photoluminescence properties of PbS nanoparticle synthesized by plasma-induced chemical reaction technique in aqueous solution

Author: Jomaa, Ola R. and Humud, Hammad R.
Published: 2024
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4. Ribosomes hibernate on mitochondria during cellular stress

Author: Gemin, Olivier, Gluc, Maciej, Rosa, Higor, Purdy, Michael, Niemann, Moritz, Peskova, Yelena, Mattei, Simone, and Jomaa, Ahmad
Published: 2024
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5. Cell cycle specific, differentially tagged ribosomal proteins to measure phase specific transcriptomes from asynchronously cycling cells

Author: Cochran, Jesse D., Leathers, Tess A., Maldosevic, Emir, Siejda, Klara W., Vitello, Julian, Lee, Haesol, Bradley, Leigh A., Young, Alex, Jomaa, Ahmad, and Wolf, Matthew J.
Published: 2024
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6. Inflammatory biotype of ADHD is linked to chronic stress: a data-driven analysis of the inflammatory proteome

Author: Schnorr, Isabel, Siegl, Anne, Luckhardt, Sonja, Wenz, Söri, Friedrichsen, Hendrik, El Jomaa, Hiba, Steinmann, Annebirth, Kilencz, Tünde, Arteaga-Henríquez, Gara, Ramos-Sayalero, Carolina, Ibanez-Jimenez, Pol, Rosales-Ortiz, Silvia Karina, Bitter, István, Fadeuilhe, Christian, Ferrer, Marc, Lavebratt, Catharina, Réthelyi, János M., Richarte, Vanesa, Rommelse, Nanda, Ramos-Quiroga, Josep Antoni, Arias-Vasquez, Alejandro, Resch, Eduard, Reif, Andreas, Matura, Silke, and Schiweck, Carmen
Published: 2024
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7. Superior suspensory complex of the shoulder reconstruction for acute and chronic acromioclavicular joint dislocations: the Queensland Unit for Advanced Shoulder Research 3-tunnel technique

Author: Helen Ingoe, MBBS, FRCS Eng, MD, MSc, PGCert, Jashint Maharaj, MBBS, MPHTM, FRSPH, Nagmani Singh, MBBS, MS, Kathir Azhagan Stalin, MBBS, MS, MRCS, DNB, Kristine Italia, MD, FPOA, Roberto Pareyon, MD, Mohammad N. Jomaa, MD, Kenneth Cutbush, MBBS, FRACS, FAOrthA, and Ashish Gupta, MBBS, MSc, FRACS
Subjects: Acromioclavicular joint, Lateral clavicle fracture, Reconstruction, LARS artificial ligament, Dislocation, Rockwood, Orthopedic surgery, RD701-811, Diseases of the musculoskeletal system, RC925-935
Abstract: Background: Management of acromioclavicular joint (ACJ) injuries have wide variety of classification systems, surgical indications and operative techniques. Our study describes the Queensland Unit for Advanced Shoulder Research (QUASR) 3-Tunnel Technique with Ligament Augmentation and Reconstruction System (LARS; Surgical Implants and Devices, Arc sur Tille, France) artificial ligament to reconstruct the superior shoulder suspensory complex in acute, chronic, and revision ACJ dislocations and lateral clavicle fractures. Methods: Our prospective cohort series of patients undergoing the QUASR 3-Tunnel Technique using LARS artificial ligament. This technique reconstructs the superior shoulder suspensory complex using 2 4-mm clavicle tunnels, 1 acromion tunnel, and is arthroscopically assisted to pass the artificial ligament under the coracoid. The ligament is secured with braided composite sutures and no interference screw is used. Preoperative and postoperative functional outcome scores were compared in patients with minimum 12-months follow-up. Results: Of 26 patients in this series, 7 (27%) were operated within 4 weeks of injury, 2 (8%) were revision cases, and 6 (23%) were lateral clavicle fractures. Mean time to surgery was 14 weeks (2-650). Mean postoperative scores with associated 95% confidence interval were Specific Acromioclavicular Score 87.38 (confidence interval 75.38-99.37), American Shoulder and Elbow Surgeons score 94.60 (87.85-101.35), Constant 79.47 (71.87-87.07), simple shoulder test 85.44 (72.34-98.54) and visual analog score 0.50 (−0.15 to 1.15). There were 2 infections and 1 atraumatic loss of reduction; however, there were no tunnel fractures. Conclusion: The QUASR 3-Tunnel Technique with LARS artificial ligament is a safe and efficient technique for both acute and chronic ACJ reconstruction, lateral clavicle fractures with coracoclavicular ligament disruption and complex revision cases with favorable outcomes at the mid-term follow-up.
Published: 2025
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8. Elementary Teachers' Perceptions and Experiences Regarding Social-Emotional Learning in Ontario

Author: Jomaa, Hajar, Duquette, Cheryll, and Whitley, Jessica
Abstract: Social-emotional learning (SEL) is an essential part of students' learning journey. Teachers' perceptions of SEL have been associated with teaching outcomes and the effectiveness of its implementation in classrooms. In Ontario, SEL is a mandated component in certain areas of the curriculum. It is therefore important to consider teachers' perceptions and experiences regarding SEL because a teacher who is confident in implementing SEL strategies as part of the curriculum may contribute to positive social, emotional, and academic outcomes for their students. This study explored teachers' perceptions and experiences regarding SEL before and during the COVID-19 pandemic. Three elementary teachers in Ontario implementing SEL practices took part in a semi-structured interview that was informed by the CASEL (n.d.b) framework, and it followed a modified version of Seidman's (2019) three-interview protocol. Research findings revealed the participants' perceptions of SEL and the various informal strategies they used to teach it during the COVID-19 pandemic in Ontario. This paper discusses the benefits and barriers of teaching students the SEL competencies and describes potential implications for practice informed by the collected data.
Published: 2023

9. Data-driven modelling of hydraulic-head time series: results and lessons learned from the 2022 Groundwater Time Series Modelling Challenge

Author: R. A. Collenteur, E. Haaf, M. Bakker, T. Liesch, A. Wunsch, J. Soonthornrangsan, J. White, N. Martin, R. Hugman, E. de Sousa, D. Vanden Berghe, X. Fan, T. J. Peterson, J. Bikše, A. Di Ciacca, X. Wang, Y. Zheng, M. Nölscher, J. Koch, R. Schneider, N. Benavides Höglund, S. Krishna Reddy Chidepudi, A. Henriot, N. Massei, A. Jardani, M. G. Rudolph, A. Rouhani, J. J. Gómez-Hernández, S. Jomaa, A. Pölz, T. Franken, M. Behbooei, J. Lin, and R. Meysami
Subjects: Technology, Environmental technology. Sanitary engineering, TD1-1066, Geography. Anthropology. Recreation, Environmental sciences, GE1-350
Abstract: This paper presents the results of the 2022 Groundwater Time Series Modelling Challenge, where 15 teams from different institutes applied various data-driven models to simulate hydraulic-head time series at four monitoring wells. Three of the wells were located in Europe and one was located in the USA in different hydrogeological settings in temperate, continental, or subarctic climates. Participants were provided with approximately 15 years of measured heads at (almost) regular time intervals and daily measurements of weather data starting some 10 years prior to the first head measurements and extending around 5 years after the last head measurement. The participants were asked to simulate the measured heads (the calibration period), to provide a prediction for around 5 years after the last measurement (the validation period for which weather data were provided but not head measurements), and to include an uncertainty estimate. Three different groups of models were identified among the submissions: lumped-parameter models (three teams), machine learning models (four teams), and deep learning models (eight teams). Lumped-parameter models apply relatively simple response functions with few parameters, while the artificial intelligence models used models of varying complexity, generally with more parameters and more input, including input engineered from the provided data (e.g. multi-day averages). The models were evaluated on their performance in simulating the heads in the calibration period and in predicting the heads in the validation period. Different metrics were used to assess performance, including metrics for average relative fit, average absolute fit, fit of extreme (high or low) heads, and the coverage of the uncertainty interval. For all wells, reasonable performance was obtained by at least one team from each of the three groups. However, the performance was not consistent across submissions within each group, which implies that the application of each method to individual sites requires significant effort and experience. In particular, estimates of the uncertainty interval varied widely between teams, although some teams submitted confidence intervals rather than prediction intervals. There was not one team, let alone one method, that performed best for all wells and all performance metrics. Four of the main takeaways from the model comparison are as follows: (1) lumped-parameter models generally performed as well as artificial intelligence models, which means they capture the fundamental behaviour of the system with only a few parameters. (2) Artificial intelligence models were able to simulate extremes beyond the observed conditions, which is contrary to some persistent beliefs about these methods. (3) No overfitting was observed in any of the models, including in the models with many parameters, as performance in the validation period was generally only a bit lower than in the calibration period, which is evidence of appropriate application of the different models. (4) The presented simulations are the combined results of the applied method and the choices made by the modeller(s), which was especially visible in the performance range of the deep learning methods; underperformance does not necessarily reflect deficiencies of any of the models. In conclusion, the challenge was a successful initiative to compare different models and learn from each other. Future challenges are needed to investigate, for example, the performance of models in more variable climatic settings to simulate head series with significant gaps or to estimate the effect of drought periods.
Published: 2024
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10. Mental health issues among unemployed and employed sports science graduates in Tunisia post-revolution

Author: Chedlia Fitouri, Sofiane Souissi, Ghazi Racil, Hejer Ben Jomaa Ben Hsouna, and Karim Chamari
Subjects: Tunisia post-revolution, mental health, individual factors, unemployed, employed, sports sector, Social Sciences
Abstract: This study investigates the relationship between employability and mental health among Tunisian sports science graduates post-2011 revolution, within the context of a prolonged socio-economic crisis and persistent unemployment lasting up to 10 years. The research included two studies. Study (1) quantitatively assessed 156 unemployed and 162 employed graduates for major depressive episodes (MDE), dysthymia, social phobia (SP), and generalized anxiety disorder (GAD). Study (2) qualitatively explored mental health experiences through semi-structured interviews with 20 participants (10 employed, 10 unemployed, balanced by gender). In Study (1), it was observed that unemployed individuals, especially older adults, women, and those experiencing long-term unemployment, exhibited elevated prevalence rates of MDE, dysthymia, and SP, while employed individuals exhibited higher GAD rates. Study (2) revealed widespread anxiety, fear, and low self-esteem among participants, driven by political and economic instability, career stagnation, and the devaluation of the sports profession. Many interviewees expressed a desire to work in Gulf countries due to attractive salaries and better job opportunities, while also calling for curriculum reforms and showing interest in entrepreneurship. The study concludes that employment alone does not guarantee mental health stability. Socio-demographic factors, economic issues, and political instability significantly affect mental health. To prevent brain drain and ensure mental well-being, developing economies must provide secure, opportunity-rich futures for young professionals. This research offers practical recommendations for policymakers in similar contexts.
Published: 2024
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11. Development finance, institutional quality and human development in the MENA region

Author: Awdeh, Ali and Jomaa, Zouhour
Published: 2024
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12. Multi-decadal groundwater observations reveal surprisingly stable levels in southwestern Europe

Author: Rafael Chávez García Silva, Robert Reinecke, Nadim K. Copty, David A. Barry, Essam Heggy, David Labat, Pier Paolo Roggero, Dietrich Borchardt, Michael Rode, J. Jaime Gómez-Hernández, and Seifeddine Jomaa
Subjects: Geology, QE1-996.5, Environmental sciences, GE1-350
Abstract: Abstract Climate change and human activity are leading to water scarcity in southwestern Europe. Groundwater use is thought to be unsustainable in the region, yet regional assessments using measured data are missing. Here, we evaluate long-term trends and drivers of groundwater levels and found a more complex situation. Historical data (1960–2020) from 12,398 wells in Portugal, Spain, France, and Italy showed 20% with rising groundwater levels, 68% were stable, and only 12% were declining. Rising wells in temperate climates were due to increased precipitation. Recovering wells in semi-arid regions were attributed to improved groundwater management. Stable wells are concentrated in temperate climates with year-round high precipitation. Declining wells in semi-arid regions are primarily located near agricultural areas and experience prolonged summer soil moisture loss, whereas in temperate regions, the decline is associated with large urban areas. Systematic groundwater monitoring and data sharing are essential for sustainable and science-based water resources management.
Published: 2024
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13. Optimization of mechanical and biocompatible properties of ZnOs-fiber membranes

Author: Dalia Jomaa, Abbas Hussein, and Jamal Dawood
Subjects: taguchi method, zinc oxide nanoparticles, mechanical properties, mlectro-spun fibers, wound healing, Science, Technology
Abstract: This study uses electro-spinning techniques to create a poly(vinyl alcohol)-chitosan-zinc oxide nanoparticles (PVA+CS)+ZnO NPs system in three concentrations of ZnO for application as composite nanofibers for wound treatment applications and Employing the Taguchi technique to optimize the mechanical characteristics via a four-level experimental design process (L16). Numerous techniques have been utilized to characterize the nanofibrous scaffolds: contact angle measurement, cytotoxicity testing, proliferation testing, evaluation of antimicrobial activity, Fourier Transform Infrared Spectroscopy (FTIR), Field Emission Scanning Electron Microscopy (FESEM), Energy Dispersion X-ray Spectroscopy (EDX), and a comparative experimental study involving the determination of hardness using the Nanoindentation method for (PVA+CS)+ZnO. The ideal combination for adding ZnO as nanoparticles was found to be (PVA+CS)+0.6 ZnO, with a flow rate of 0.5 mL/hr, an applied voltage of 18 kV, and a needle tip-to-collector distance of 15 cm (position). This resulted in the smallest fiber diameter (48 nm) with a smooth and uniform distribution. As a consequence, (PVA+CS)+ZnO can be regarded as non-toxic in accordance with the criteria. The methyl thiazole tetrazolium (MTT) assay was used to evaluate the cell viability of L929 (cell cultures for skin). It significantly affects cell viability, achieving 50% in less than 24 hours, which means cell growth through 24 hours is necessary for embryonic development, tissue repair, and regulation of cell division in case of wound healing. Exhibiting findings of inhibition zone diameter in antibacterial activity test exceeding 20 mm. According to the results, (PVA+CS)+0.6 ZnO's hydrophilic properties showed a well-connected porous structure and made it easier for nutrients and oxygen to be exchanged, encouraging cellular activity. After evaluating the mechanical characteristics of each specimen, the main determinants of these characteristics are determined using a Taguchi orthogonal array L16 design. The results of this study suggest that (PVA+CS)+0.6 ZnO could be a good biomedical material for skin tissue engineering applications.
Published: 2024
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14. Optimization and Prediction of White Layer Thickness After Hard Turning

Author: Souid, Abdallah, Mbarek, Youssef, Jomaa, Walid, Terres, Mohamed Ali, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Bouraoui, Tarak, editor, Ben Moussa, Naoufel, editor, Zemzemi, Farhat, editor, Benameur, Tarek, editor, Aifaoui, Nizar, editor, Znaidi, Amna, editor, Mzali, Slah, editor, Ennetta, Ridha, editor, and Djemal, Fathi, editor
Published: 2024
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15. Investigating the impact of drill material on hole quality in jute/palm fiber reinforced hybrid composite drilling with uncertainty analysis

Author: Mohamed Slamani, Abdelmalek Elhadi, Salah Amroune, Mustapha Arslane, Walid Jomaa, Hassan Fouad, Jean-François Chatelain, and Mohammad Jawaid
Subjects: Composite drilling, Hybrid palm/jute polyester composites, Drill materials, Hole quality, Uncertainty analysis, Science (General), Q1-390, Social sciences (General), H1-99
Abstract: This study presents a method for modelling, predicting, and evaluating the impact of drill materials on the drilling process of hybrid palm/jute polyester composites, with the aim of enhancing hole quality regarding delamination, circularity, and cylindricity. Three drill materials, including High-Speed Steel (HSS), 5 % Cobalt-coated High-Speed Steel (HSS-Co5), and Solid Carbide drills were tested, and their impacts on drilling performance were assessed. Through thorough experimentation and statistical analysis, significant differences in results were observed between HSS drills and both HSS-Co5 and Solid Carbide drills. However, the variation in results between HSS-Co5 and Solid Carbide drill results was minimal. Additionally, the findings highlight notable disparities among drill types concerning uncertainty. The results also indicate that feed rate, drill material, and their interaction play crucial roles in determining drilling efficiency. Specifically, HSS drills consistently outperformed HSS-Co5 and Solid carbide drills, demonstrating superior performance in minimizing delamination, improving circularity, and enhancing cylindricity along with lower uncertainty.
Published: 2024
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16. Zero-Shot AutoML with Pretrained Models

Author: Öztürk, Ekrem, Ferreira, Fabio, Jomaa, Hadi S., Schmidt-Thieme, Lars, Grabocka, Josif, and Hutter, Frank
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract: Given a new dataset D and a low compute budget, how should we choose a pre-trained model to fine-tune to D, and set the fine-tuning hyperparameters without risking overfitting, particularly if D is small? Here, we extend automated machine learning (AutoML) to best make these choices. Our domain-independent meta-learning approach learns a zero-shot surrogate model which, at test time, allows to select the right deep learning (DL) pipeline (including the pre-trained model and fine-tuning hyperparameters) for a new dataset D given only trivial meta-features describing D such as image resolution or the number of classes. To train this zero-shot model, we collect performance data for many DL pipelines on a large collection of datasets and meta-train on this data to minimize a pairwise ranking objective. We evaluate our approach under the strict time limit of the vision track of the ChaLearn AutoDL challenge benchmark, clearly outperforming all challenge contenders.
Published: 2022

17. Medial scapular body (MSB) Goutallier classification: MRI-based reliability and validity of evaluation of the Goutallier classification for grading fatty infiltration of the rotator cuff

Author: Gupta, Ashish, Hollman, Freek, Delaney, Ruth, Jomaa, Mohammad N., Ingoe, Helen, Pareyon, Roberto, Shulman, Ryan M., Dhupelia, Sanjay, Yihe Li, Acrane, En-Hui Tok, Amaris, Samsuya, Katreese K.M., Xu, Shaoyu, Salhi, Asma, Alzubaidi, Laith, Whitehouse, Sarah L., Pivonka, Peter, Gu, YuanTong, Maharaj, Jashint, and Cutbush, Kenneth
Published: 2024
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18. All-Arthroscopic Supraspinatus and Infraspinatus Muscle Advancement Leads to High Healing Rate and Excellent Outcomes in Patients With Massive, Retracted Rotator Cuff Tears, Even in Patients With Pseudoparalysis

Author: Gupta, Ashish, Italia, Kristine, Jomaa, Mohammad N., Ker, Andrew M., Pareyon, Roberto, Tok, Amaris En-Hui, Maharaj, Jashint, Whitehouse, Sarah L., and Cutbush, Kenneth
Published: 2024
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19. Structure and optical properties of LixAg1–xAlSe2

Author: Jomaa, Mohammed, Mishra, Vidyanshu, Mumbaraddi, Dundappa, Sarkar, Diganta, Sikdar, Ritobroto, Sun, Mengran, Yao, Jiyong, Michaelis, Vladimir K., and Mar, Arthur
Published: 2024
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20. In search of coloured alloys resembling gold: Structure and optical properties of LiCu2Ga1−xAlx and Li(Cu1–yNiy)2Ga

Author: Jomaa, Mohammed, Mumbaraddi, Dundappa, Mishra, Vidyanshu, Chaudhary, Madhusudan, Mah, Brenton, Delaruelle, Diane, Michaelis, Vladimir K., and Mar, Arthur
Published: 2024
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21. Turonian carbonate succession in central-southern Tunisia: Insights into depositional environments, sequence stratigraphy and south Tethyan margin correlations

Author: Salmouna, Dhouha Jomaa, Ben Chaabane, Najeh, Dhahri, Ferid, and Salmouna, Abdellatif
Published: 2025
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22. Empirical, computational studies and non-covalent interactions analysis of a novel salt with cadmium transition metal precursor

Author: Jomaa, Ikram, Issaoui, Noureddine, Bardak, Fehmi, Roisnel, Thierry, Atac, Ahmet, and Marouani, Houda
Published: 2025
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23. Toxicokinetics of praseodymium and cerium administered as chloride salts in Sprague–Dawley rats: impacts of the dose and of co-exposure with additional rare earth elements

Author: Jomaa, Malek, Pelletier, Guillaume, Dieme, Denis, Côté, Jonathan, Fetoui, Hamadi, Nong, Andy, and Bouchard, Michèle
Published: 2023
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24. Functional Analyses of Metadiscourse Markers in L2 Students' Academic Writing

Author: Jomaa, Nayef Jomaa and Alia, Mohammad M.
Abstract: Stance in general and metadiscourse markers, in particular, have attracted the interest of several studies. Therefore, this study explores the use of metadiscourse in the second language (L2) academic writing by English as a foreign language (EFL) postgraduates in one of the Malaysian public universities. We analyzed the frequency and wordings of modality within the citations of the literature review chapters of 20 Ph.D. theses employing the Systemic Functional Linguistics. Data were analyzed manually utilizing the technique of quantifying the findings to highlight the similarities and differences in using metadiscourse markers. The findings revealed the dominance of full declarative clauses in both Applied Linguistics and Information Technology. Besides the Finite Modal Operators, Mood Adjuncts and Comment Adjuncts were also used to demonstrate modality with a variety in their stance, degrees, and frequencies. Pedagogically, these findings could help supervisors in identifying the implications of their students' writings. In addition, students can be directed towards reading EAP textbooks and materials that are dedicated to areas of academic writing, metadiscourse markers, and citations.
Published: 2019

25. Parametric analysis of reverse electrodialysis process for improved power generation: Influence of spacer thickness, feed solution flow rate, membrane, and concentration

Author: Jomaa, Sarra and Besbes, Sonia
Published: 2024
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26. The hybrid humerus reverse shoulder arthroplasty: a prospective study of bone grafting and metaphyseal fixation with undersized stem in the assessment of proximal humeral stress shielding and associated clinical outcome

Author: Pareyon, Roberto, Ingoe, Helen, Jomaa, Mohammad N., Italia, Kristine, Maharaj, Jashint, Whitehouse, Sarah L., Cutbush, Kenneth, and Gupta, Ashish
Published: 2024
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27. Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion

Author: Alzubaidi, Laith, AL-Dulaimi, Khamael, Salhi, Asma, Alammar, Zaenab, Fadhel, Mohammed A., Albahri, A.S., Alamoodi, A.H., Albahri, O.S., Hasan, Amjad F., Bai, Jinshuai, Gilliland, Luke, Peng, Jing, Branni, Marco, Shuker, Tristan, Cutbush, Kenneth, Santamaría, Jose, Moreira, Catarina, Ouyang, Chun, Duan, Ye, Manoufali, Mohamed, Jomaa, Mohammad, Gupta, Ashish, Abbosh, Amin, and Gu, Yuantong
Published: 2024
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28. Use of Intravenous Albumin: A Guideline From the International Collaboration for Transfusion Medicine Guidelines

Author: Flores, Jerome, Frappier, Stéfanie, Hou, Yvette, Jean-Pierre, Lilly, Jomaa, Danny, Kabir, Monisha, Kadota, Leo, Lam, Michelle, Ripsman, David A., Sandarage, Ryan, Staykov, Emiliyan, Venes, Angelica, Wan, Melissa, Al Riyami, Arwa, Allard, Shubha, Brouwers, Melissa, Callum, Jeannie, Daly, James, Denomme, Gregory A., Estcourt, Lise, Fergusson, Dean, Fung, Mark, Green, Laura, Greinacher, Andreas, Hume, Heather, Jug, Rachel, Kaufman, Richard, Kim, Hyungsuk, Louw, Vernon, Matsushita, Tadashi, Murphy, Michael, Pink, Joanne, Robinson, Susan, So-Osman, Cynthia, Stanworth, Simon, Szczepiorkowski, Zbigniew M., Tobian, Aaron, Wood, Erica, Skubas, Nikolaos J., Bathla, Aarti, Keshavarz, Homa, Clark, Edward G., Rochwerg, Bram, Arbous, Sesmu, Bauer, Seth R., China, Louise, Neill, Michael, Paine, Cary, Pavenski, Katerina, Shah, Prakesh S., Shan, Hua, Thevenot, Thierry, Wu, Bovey, and Shehata, Nadine
Published: 2024
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29. بلاغة البديع في أدب جبران

Author: Mudar Jaluok, Taiser Jraikous, and Wafaa Jomaa
Subjects: History of scholarship and learning. The humanities, AZ20-999
Abstract: تعد الصورة البديعيّة وسيلة مهمّة يستعين بها الشّاعر للتعبير عن خبايا نفسه، واختلاجاتها، وأحد أبرز التقنيات التي يعبّر بها الأديب عمّا يختلج في نفسه، فيبيّن مكنوناته بتعبيرات رقيقة جيّاشة تجعله سابحاً بخياله وعقله وقلبه. والأدب بنوعيه الشّعر والنّثر كلام ينتقيه صاحبه اعتماداً على ما له من هدف ووظيفة أساسية تتمثّل في التأثير، ولفت انتباه المتلقّي بالدرجة الأولى، ومن هنا كان من اللازم أن يتضمّن اللفظ قيماً جماليّة تساعد الشّاعر على الوصول إلى مبتغاه، ولعل المؤثّرات البديعية هي إحدى الوسائل لتحقيق مرماه.
Published: 2024

30. Synthesis of 2-amino-5-methylpyridinium tetrachloridocadmate(II) (C6H9N2)2[CdCl4]: Structure, DFT-calculated descriptors and molecular docking study

Author: Ikram Jomaa, Fehmi Bardak, Noureddine ISSAOUI, Aurelio Cabeza, Duane Choquesillo-Lazarte, Ahmet Atac, Houda Marouani, and Omar M. Al-Dossary
Subjects: Hirshfeld surface, DFT calculations, IR spectroscopy, AIM-RDG, HOMO-LUMO, Molecular docking, Science (General), Q1-390
Abstract: In this research paper, (C6H9N2)2[CdCl4], was effectively synthesized using the slow solvent evaporation procedure. Single crystal X-ray diffraction (scXRD) analysis revealed that the compound crystallizes in the triclinic system, specifically in the space group P 1¯. Powder XRD (PXRD) of the bulk material showed some minor impurities. The atomic arrangement of the title structure comprises discrete tetrahedral groups [CdCl4]2− linked to the organic entities through weak N(C)H…Cl hydrogen bonds. Solid-state contacts were further studied through Hirshfeld surface analyses, complemented by 2D fingerprint plots. Computational results, obtained using the B3LYP tool with 6-311++G(d,p) + LANL2DZ mixed basis set, demonstrated consistent geometrical, vibrational, and electronic features to the experimental data. Non-covalent interactions were explored in depth using Atoms-In-Molecule (AIM) and Reduced Density Gradient (RDG) analyses. Thermogravimetry (TG) and Differential Scanning Calorimetry (DSC) analyses showed melting at 378 K and decomposition at around 540 K. Furthermore, the inhibition activity of the examined compound was explored in-silico through molecular docking studies targeting the inducible Nitric Oxide Synthase (iNOS) enzymes.
Published: 2024
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31. Improving Hyperparameter Optimization by Planning Ahead

Author: Jomaa, Hadi S., Falkner, Jonas, and Schmidt-Thieme, Lars
Subjects: Computer Science - Machine Learning
Abstract: Hyperparameter optimization (HPO) is generally treated as a bi-level optimization problem that involves fitting a (probabilistic) surrogate model to a set of observed hyperparameter responses, e.g. validation loss, and consequently maximizing an acquisition function using a surrogate model to identify good hyperparameter candidates for evaluation. The choice of a surrogate and/or acquisition function can be further improved via knowledge transfer across related tasks. In this paper, we propose a novel transfer learning approach, defined within the context of model-based reinforcement learning, where we represent the surrogate as an ensemble of probabilistic models that allows trajectory sampling. We further propose a new variant of model predictive control which employs a simple look-ahead strategy as a policy that optimizes a sequence of actions, representing hyperparameter candidates to expedite HPO. Our experiments on three meta-datasets comparing to state-of-the-art HPO algorithms including a model-free reinforcement learning approach show that the proposed method can outperform all baselines by exploiting a simple planning-based policy.
Published: 2021

32. Combination of geostatistics and self-organizing maps for the spatial analysis of groundwater level variations in complex hydrogeological systems

Author: Varouchakis, Emmanouil A., Solomatine, Dimitri, Perez, Gerald A. Corzo, Jomaa, Seifeddine, and Karatzas, George P.
Published: 2023
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33. Access to and quality of elective care: a prospective cohort study using hernia surgery as a tracer condition in 83 countries

Author: Dönmez, A Eylül, Goswami, Aakansha Giri, Raheja, Aashna, Bhadani, Aayush, El Kady, Abd Elrahman Safwat, Alniemi, Abdalaziz, Awad, Abdalkarim, Aladl, Abdalla, Younis, Abdalla, Alwali, Abdallah, Khalil, Abdallah, Mansour, Abdallah, Elkhouly, Abdallah Mohamed, Rashad Temerik, Abdallah, Hasan, Abdallatef, Chied, Abdelhafid, Abdraba, Abdelhamid, Hrora, Abdelmalek, Abdelshafi, Abdelrahman, Alwali, Abdelrahman, Maraqa, Abdelrahman, Ghaffar, Abdul, Chekfa, Abdul Jabar, Al Balushi, Abdul Majeed, Quddus, Abdul, Hammadieh, Abdul Rahman, Muntaka, Abdul-Jalilu Mohammed, Asekun, Abdulazeez, Alshahrani, Abdulaziz, Jowharji, Abdulaziz, Alshukre, Abdulbaset, Khair Etareig, Abdulhafid, Abubakar Abdulkarim, Abdulhafiz, Ashiru, Abdulhafiz, Alailesh, Abdulhamid, Al-Mallah, Abdullah, Baydoun, Abdullah, Chaudhry, Abdullah, Askin, Abdullah Emre, Almutairi, Abdulmjeed, Belkhair, Abdulmunem, Abdllah, Abdulrahman, Alhammali, Abdulrahman, Basalim, Abdulrahman, Abouelnagah, Abdulrahman Galal Mohamed Mostafa, Ghazal, Abdulrahman, Mohammed, Abdulrahman, Qasem, Abdulrahman, Anadani, Abdulrazak, Jimoh, Abdulrazaq, Lawal, Abdulrazzaq Oluwagbemiga, Khaity, Abdulrhman, Lawal, Abdulwahab, Elzoubi, Abdurrahim Esseid, Sheshe, Abdurrahman Abba, Cetişli, Abdurrahman Furkan, Oyedele, Abeeb, Aljahdali, Abeer, Aboelnasr, Abeer Gamal Elsyed, Demessie, Abel, Bhargava, Abhilasha, Sonkar, Abhinav Arun, Bavaharan, Abhirame, Khan, Abid, Campbell, Abigail, Oyelekan, Abimbola Adeola Akintunde, Okunlola, Abiodun Idowu, Ojewuyi, Abiodun, Ekerin, Abiola, Saleh, Abobakr, Khairy, Abouelatta, Muthunayagam, Abraham Benjamin, Botha, Abraham, Teshome Sahilemariam, Abraham, Nawawi, Abrar, Muhammad, Abubakar Bala, Dahiru, Abubakar, Yahaya, Abubakar, Abdelmalik, Abubaker, Anuar, Abul Akmal Arif, Ousseini, Adakal, Leon -Del- Angel, Adalberto, Frankel, Adam, Gyedu, Adam, Lim, Adam, Lukáč, Adam, Peckham-Cooper, Adam, Sabbah, Adam, Varga, Adam, Sanou, Adama, Issaka, Adamu, Ningi, Adamu, Yeshitila, Addis, Yingess, Addisu, Olugbami, Adebayo, Moses, Damola-Okesiji, Adebola, Lawal, Adedayo, Ojo, Adedoyin, Hashmi, Adeel, Fakoya, Adegbolahan, Ishola, Adegoke, Abiodun, Adekunle, Ajayi, Adekunle, Mouffokes, Adel, Bonelli, Adele, Adekoya, Adeleke, Akeem Aderogba, Adeleke, Özcan, Adem, Ayoade, Ademidun, Adeyeye, Ademola, Agbaje, Ademola, Talabi, Ademola, Ademuyiwa, Adesoji, Adewumiya, Adesoji, Ademuyiwa, Adesoji O, Aderounmu, Adewale, Adisa, Adewale, Oke, Adewale, Ragab, Adham, Alzadjali, Adil, Baksi, Aditya, Jayapalan, Aditya, Md Yunos, Adnan, Pisanu, Adolfo, Salazar, Adolfo, Salinas Barragan, Adrian Alberto, Fox, Adrian, Stollberg, Adrian, Franco, Adriana, Neves, Adriana, Vricheva, Adriana, Hodonou, Adrien Montcho, Aghayeva, Afag, Liaquat, Affifa, Alsultan, Afnan, Morad, Afnan, Kalidis, Afroditi Angella, Gkouniaroudi, Agathi, Karakosta, Agathi, Lovi, Agbenya, Yevide, Agossou Barthélémy, Duro, Agustin, Rodriguez Gonzalez, Agustin, Tariq, Ahbala, Abaidalla, Ahmad, Abuhammad, Ahmad, Abuhantash, Ahmad, Mansour, Ahmad Adel, Ahmad Zaidi, Ahmad Al Hafeez, Alahmad Alismael, Ahmad, Alayed, Ahmad, Alfarwan, Ahmad, Alhaj, Ahmad, Ali, Ahmad, Alroobi, Ahmad, Alsheikh, Ahmad, Alusef, Ahmad, Alzu'Bi, Ahmad, Kayali, Ahmad Amir, Bouhuwaish, Ahmad, Doghaim, Ahmad, El-Sherbiney, Ahmad, Ghazal, Ahmad, Ramly, Ahmad Nasir, Raza, Ahmad, Qureshi, Ahmad Uzair, Arnaout, Ahmad Yamen, Abdelhamid, Ahmed, Abuthaher, Ahmed, Adel, Ahmed, Ahmayda, Ahmed, Al-Mouahhed, Ahmed, Alagha, Ahmed, Albalawi, Ahmed, Albhaisi, Ahmed, Alrifaee, Ahmed, Azam, Ahmed, Barakat, Ahmed, Al-Hajjaj, Ahmed Basim Abed, Dawoud, Ahmed, El Shamarka, Ahmed, El-Bastwesy, Ahmed, Elghrieb, Ahmed, Elkhalifa, Ahmed, Elmosalamy, Ahmed, Elshazli Mahmoud, Ahmed, Montaser, Ahmed G., Gbeadese, Ahmed, Haty, Ahmed, K. 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Chisom, Jamieson-Grigg, Chloe, Ong, Chon Sum, Alphonse, Chris, Bode, Chris, Varghese, Chris, Carrillo Sarango, Christian, Esteo Verdu, Christian, Krautz, Christian, Mosca, Christian, Nimbona, Christian, Nikolaou, Christina, Wiesner, Christina, Kloppers, Christo, Kourouniotis, Christoforos, Seiler, Christoph, Knee, Christopha, Mpirimbanyi, Christophe, Aboah, Christopher, Amah, Christopher, Cheong, Christopher, Harmston, Christopher, Leung, Christopher, Seet, Christopher, Smart, Christopher, Chouliaras, Christos, Damaskos, Christos, Doudakmanis, Christos, Kaselas, Christos, Limas, Christos, Ntagkas, Christos, Papazacharias, Christos, Stefanou, Christos, Thrasyvoulou, Christos, Tsalikidis, Christos, Karagianni, Chrysanthi, Kolla, Chrysoula-Christina, Ugwunne, Chuka, Ilo, Chukwudi, Nwegbu, Chukwuemeka, Onwuzu, Chukwuka, Weadick, Ciara, De Martino, Ciro, Donohoe, Claire, Gutierrez De La Rosa, Clara Elena, Florián Villa, Clara Marcela, Petcu, Clara Teodora, Cecconi, Claudia, Banal, Claudine, Brandi, Claudio, Hossu, Claudiu, Onuoha, Clement, Osime, Clement, Shelton, Clifford, Fuentes Orozco, Clotilde, Adumah, Collins, Dina, Constantin, Nastos, Constantinos, Aguero, Coral, Markin, Coretta, Hoogerboord, Cornelis, Da Lio, Corrado, Saviello, Cosimo, Bezede, Cosmin, Distefano, Costanza, Elliot-Wilson, Courtney, Bokossa, Covalic, Lupercio Figueroa, Cristian Israel, Riboni, Cristiana, Meola, Cristiano, Costa, Cristina, Gas, Cristina, Larotonda, Cristina, Soddu, Cristina, Vacca, Cristina, Vera Mansilla, Cristina, Li, Crystal, Agbonrofo, Cynthia, Akli-Nartey, Cynthia, Molewa, Cynthia, Nelly Rosine, Cyuzuzo Ngwije, Rega, D., Koike, Daisuke, Wickramasinghe, Dakshitha, Clarke, Damian, Fry, Damian, Hannedige, Damsadie, Powell, Dan-Beck, Kasasbeh, Dana, Samardali, Dana, Sharl Ajami, Dani, Badran, Dania, Adjei, Daniel, Muhie, Daniel Ahmed, Pérez Muñoz, Daniel Alejandro, Alifoe, Daniel, Aparicio-López, Daniel, Baños Méndez, Daniel, Cristian, Daniel, Eaton, Daniel, Gero, Daniel, Makary, Daniel, Montwedi, Daniel, Muñoz, Daniel, Patterson, Daniel, Reim, Daniel, Agbley, Daniel Yao Dodzie, Patiño García, Daniela Cristina, Di Pietrantonio, Daniela, Pais, Daniela, Rosado, Daniela, Tavares, Daniela, Alberti, Daniele, Fusario, Daniele, Massaro, Daniele, Paglione, Daniele, Pironi, Daniele, Kurochka, Daniil, Centonze, Danilo Corrado, Hackner, Danilo, Herrera, Danilo, Amangaliyev, Daniyar, Silva-Cano, Danny Wladimir, Chaudhry, Daoud, Palmisano, Dario, Ribero, Dario, Vukosav, Dario, Misca, Darius, Lowen, Darren, Rattray, Darren, Walia, Darshanjit Singh, Maan, Darvesh, Muyenzi, Daryle, Verdi, Daunia, Bardsley, David, Reyes Rodríguez, David Estuardo, Fra Corral, David, Garcia López De Goicoechea, David, Gavit, David, Gómez, David, Idowu, David, Konkin, David, Labadah, David Kplorla Kekeli, Liu, David, Merlini, David, Mitchell, David, Moro-Valdezate, David, Osifo, David, Proud, David, Ridder, David, Gobatti, Davide, Muschitiello, Davide, Pertile, Davide, Zulian, Davide, Mengiste, Dawit, Mikami, Dean, Mohanty, Debajyoti, Chatterjee, Debarghya, Komolafe, Deborah Olaitan, Scotto Di Carlo, Deborah, Wright, Deborah, Rahme, Deema, Talreja, Deep Parkash, Jain, Deepak, Rajput, Deepak, Singh, Deepak, Anbu, Deepika, Ibrahim, Dena, Phom, Denchu, Hili, Denise, Osei, Dennis Broni, Daary, Dennis, Kyeremeh, Dennis, Shen, Dennis, Uymaz, Derya Salim, Cianflocca, Desiree, Ashitey, Desmond, Evripidou, Despo, Papageorgouli, Despoina, Kaushal, Devesh, Abeysirigunawardana, Dewmi, Dugar, Dharmendra, Mallik, Dhiraj, Ghosh, Dhruva, Houmran, Diaa, Abdulrahman, Diala, Pantoja Pachajoa, Diana Alejandra, Cardona Gomez, Diana Catalina, Fenner, Diana, Gonzalez, Diana Samantha, Siriwardena, Diana, Garcés Palacios, Diana Sofía, Stoian, Diana, Zuikyte, Diana, Sosa Méndez, Dianne Alitzá, Wickramarathna, Dickson, Mutter, Didier, Palma Portillo, Diego Andrés, Chavez Fernandez, Diego, Córdova García, Diego, Enjuto, Diego, Giulitti, Diego, Sasia, Diego, Visconti, Diego, Yiğit, Dilara, George, Dilip, Rabaia, Dima, Georgiev, Dimitar, Hadzhiev, Dimitar, Alexandrou, Dimitrios, Balalis, Dimitrios, Giakoustidis, Dimitrios, Manatakis, Dimitrios K., Korkolis, Dimitrios, Lytras, Dimitrios, Massaras, Dimitrios, Moris, Dimitrios, Politis, Dimitrios, Sampanis, Dimitrios, Schizas, Dimitrios, Tsiardas, Dimitrios, Vardakostas, Dimitrios, Kotsaris, Dimitris, Khattab, Dina Hesham, M. Awad, Dina, Alrokh, Dina Sami, Schippers, Dina, Waleed, Dina, Salinovic, Dinko, Gonçalves Múrias Gomes, Diogo Miguel, Silva, Diogo, Vaz Acosta, Diogo, Morton, Dion, Panagopoulos, Dionisios, Kelgiorgi, Dionysia, Dellaportas, Dionysios, Prevezanos, Dionysios, Joshi, Dipti, Ozal, Direm, Yigit, Direnc, Chimkaomasiri, Divine, Jabbar, Diya, Nepogodiev, Dmitri, Belekar, Dnyanesh, Abdalaziz, Doaa, Abunemer, Doaa, Attia, Doaa, Elkafrawy, Doaa, Dimitrov, Dobromir, Pignatelli, Domenica, Merlicco, Domenico, Soriero, Domenico, Zerbo, Domenico, Atouguia, Domingas, Fairbrass, Dominic, T. Enti, Donald, Venskutonis, Donatas, Rukavina, Dora, Caruso, Dorena, Herappe, Dorihela, Lee, Dorinda Norbetha, Ofosuhene, Doris, Hajela, Apoorva, Badwan, Basem, Kulkarni, Datta, Dhawan, Deep, Dhillon, Jeevanjit, Mehmood, Manzer, Mahmood, Namrah, Nikam, Narendra, Ramchandani, Radhakrishna, Thind, Ravinder Singh, Riazhussain, D Hafiz, Maqsood, Saliha, Alalawi, Yousef, Tyagi, Harshdeep, Kshirsagar, Shivani, Ahmed, Hisham, Juan Carlos, Luna Cydejko, Kone, Dramane, Omar, Duaa, Alves, Duarte Gil, Subasinghe, Duminda, Ommi, Durgesh, Joshiba, Durshney, Chakarov, Dzhevdet, Arkoh, Ebenezer Ameyaw, Frimpong-Manso, Ebenezer, Ada, Ece, Lincango, Eddy P., Lozada Hernandez, Edgard Efren, Hodžić, Edin, Di Marco, Edith, Baccalini, Edoardo Andrea, Baldini, Edoardo, González Marín, Eduardo, Gutierrez, Eduardo, Sepúlveda, Eduardo, Dainius, Edvinas, Zhang, Edward, Yenli, Edwin Mwintiereh Ta-Ang, Antoniou, Efstathios, Kapasakis, Efstathios, Baili, Efstratia, Poulios, Efthymios, Kubiliute, Egle, Osaze, Ehioghae, Afeikhena, Ehis, Elshennawy, Eiad, Athanasopoulou, Eirini, Synekidou, Eirini, Ekaladze, Eka, Tampaki, Ekaterini Christina, Adam, Elaf, Adel Hamdoun Aziz, Elaf, Yousuf, Elamin, Gialamas, Eleftherios, Spartalis, Eleftherios, Bedzhanyan, Elen, Toma, Elena Adelina, Daukšaitė, Elena, Desiato, Elena, Dvivedi, Elena, Hadzhieva, Elena, Martí Cuñat, Elena, Montalbán Martínez, Elena, Montanari, Elena, Signaroli, Elenasofia, Efremidou, Eleni, Gavriil, Eleni, Karakeke, Eleni, Mavrodimitraki, Eleni, Papamattheou, Eleni, Jose, Elenza, Cianci, Eleonora, Ciccioli, Eleonora, Daleva, Eleonora, Locci, Eleonora, Lori, Eleonora, Silanos, Eleonora, Ayala, Elí, Bankart, Eliana, Brolese, Eliane, Efstathiou, Elias, Salloum, Elias, Colak, Elif, Terzi, Elif Didem, Ametefe, Elikem, Cagigal Ortega, Elima Pilar, Donnarumma, Elio, Mina, Elisa, Reitano, Elisa, Wallner, Elisabeth, Moggia, Elisabetta, Betz, Elise, Kontis, Elissaios, Anestiadou, Elissavet, Gimson, Eliza, Lun, Elizabeth, Fraser, Elizabeth, Li, Elizabeth, Torres De Anda, Elizabeth Magaly, Murphy, Elizabeth Mary Ann, O'Connell, Elizabeth, Redondo, Elizabeth, Lun, Elizabeth Weng Yan, Francis, Ella, Haiden, Elmar, Hamed, Elmonzir, Alkhalifa, Elmustafa, Dexter, Eloise, Daketsey, Elorm, Setsoafia, Elorm, Mohamed, Elsagad, Mohammed, Elsamoual, Hegab, Elsayed, Ay, Elvin, Adinolfi, Elvira, Mbanzabugabo, Elvis, Chin, Elynn, Ahmed, Emad Ali, Younes, Eman, Basile, Emanuela, Gessa, Emanuela, Pontecorvi, Emanuele, Romairone, Emanuele, Hatangimana, Eméry, Ndizeye, Emile, Ciofic, Emilia, Dijan, Emilio, López-Negrete Cueto, Emilio, Baker, Emily, Reid, Emily, Schmidt, Emily, Alić, Emir, Bičakčić, Emir, Agbowada, Emma, Colton, Emma, Downing, Emma, Haege, Emma, O'Neill, Emma, Roussos, Emmanouel, Nachelleh, Emmanuel Aadereyir, Adebunmi, Emmanuel, Obiesie, Emmanuel Ahuizechukwu, Akakpo, Emmanuel Bismark, Konlan, Emmanuel Dammigu Francis, Nwangwu, Emmanuel Ifeanyi, Kafui Ayodeji, Emmanuel, Ofori, Emmanuel Owusu, Spanoudakis, Emmanuel, Abate, Emmanuele, Balik, Emre, Bozdağ, Emre, Bozkurt, Emre, Karabulut, Emre Cagri, Ozoran, Emre, Tunçcan, Emre, Tuzuner, Emre, Halilović, Emsad, Alabed, Enaam, Zidan, Enas, Hodžić, Enes, Aybar, Engin, Yildirim, Engin Okan, Wong, Enoch, Yhoshu, Enono, Bisogno, Enrica, Andolfi, Enrico, Ferri, Enrico, Potenza, Enrico, Spalice, Enrico, Volpin, Enrico, González, Enrique, Downes, Eoin, Gallo, Erdachew, Kamer, Erdinc, Naidoo, Eressa, Erginöz, Ergin, Bara, Eric, Irungu, Eric, García-Villegas, Eric Yusif, Mazzotta, Erica, Monati, Erica, Chan, Erick, Gómez Mejía, Erika, Dylja, Eris, Somuncu, Erkan, Yavuz, Erkan, Begunić, Ernes, Margelis, Ernest, Osei, Ernest Owusu, Saitoglou, Ertzan, Agastra, Ervis, Mazumdar, Eshan, Soyer Güldoğan, Esra, Abu Siam, Esra'A, Abdelbaset, Esraa, Abdu, Esraa, Adel Mahmod Sultan, Esraa, Nubi Mohamed, Esraa Gamal, Abuobaida Banaga Hag El Tayeb, Essam Eldien, Ali, Essraa, Page-Taylor, Estelle, Marra, Ester, Garcia Santos, Esther Pilar, Elsheikh, Ethar, Unal, Ethem, Tan, Eugene, De Leo, Eugenio, Borges, Eva, Gáspár, Éva, Ruiz-Daum, Eva, Apostolopoulos, Evaggelos, Samara, Evangelia, Barkolias, Evangelos, Fradelos, Evangelos, Hopping, Eve, Romo Ascencio, Evelia Veronica, Sosa Ferreira, Ever David, Shestakov, Evgenii, Tyurina, Evgenya, Hristova, Evguenia, Efthymiou, Evripidis, Tokidis, Evripidis, Harrison, Ewen, Dontoh, Ewurama Akroma, Mansour, Eyad, Yeshialem, Eyosiyas, Dabbagh, Ezeddin, Amer, Ezzeldin, Manasci, Fabiana, Gomes, Fabio, Medas, Fabio, d'Acapito, Fabrizio, Vassallo, Fabrizio, Haddad, Fadi, Elhabishi, Fadwa, Akhtar, Fahad, Tauheed, Fahad, Al Abbood, Fahd, Gareb, Fahed, Ghazali, Fairuz, Alnazawi, Faisal, Ondago, Faith, Rasoaherinomenjanahary, Fanjandrainy, Wiese, Fanny, González Ponce, Fanny Yesenia, Georgiades, Fanourios, Ali, Farah, Galley, Fareeda, Huda, Farhanul, Amir, Farhat Naaz, Ashraf, Fariha, Alfarsi, Faris, Ayasra, Faris, Ali, Farman, Mahmoud, Faten, Aliskander, Fater, Tahir Lwdie, Fathea, Buyuker, Fatih, Aguilar Del Castillo, Fátima, Mohammed Daoud, Fatima Ahmed, Alowjaly, Fatima, Oni, Fatima, Rauf, Fatima, Elkhafeefi, Fatimah, Hourri, Fatine, Monib, Fatma A., Alshreef, Fatma, Benghalbon, Fatma, Ntirenganya, Faustin, Ashraf, Fauziyah, Chahrour, Fayez, Ahmad, Fazal, Parray, Fazlul Qadir, Philips, Febi, Campus, Federica, Di Marco, Federica, Ferraina, Federica, Frongia, Federica, Maffeis, Federica, Natali, Federica, Pederiva, Federica, Scolari, Federica, Tofani, Federica, Marin, Federico Alberto Niccolò, Biolchini, Federico, Cappellacci, Federico, Corronca, Federico, Mazzola, Federico, Suldrup, Federico, Nyarko, Felicia, Casas J, Felipe, Zapata, Felipe, Aigner, Felix, Alakaloko, Felix, Amoako, Felix, Camacho, Felix, Hammett, Felix, Kuubetersob B. N, Felix, Alahmad, Feras, Alnimri, Feras, Haddad, Feras, Gool, Ferhana, Castro, Fernanda, Diaz, Fernanda, Lucero, Fernanda, Vovola, Fernanda, Mahnic, Fernando, Mercado Sanchez, Fernando, Prieto La Noire, Fernando, Soggiu, Fiammetta, Tsige, Fikreab, Brzeszczyński, Filip, Rudisch, Filip, Valente Costa Pinto, Filipa, Ramalho De Almeida, Filipe, Banchini, Filippo, Palomino Escalante, Fiorella, Fadzlullah, Fitri, Terefe, Fitsum, Sulo, Fjorenta, Ciccarone, Flavia, Tirelli, Flavio, Krämer, Florian, Grama, Florin, Spanos, Foivos, Solimene, Folco, Akinwande, Foluso, Osman, Forzia, Stefou, Foteini, Kyramargios, Fotios, Stavratis, Fotios, Alassani, Fousseni, Ascari, Francesca, Cammelli, Francesca, D'Agostino, Francesca, Tropeano, Francesca Paola, Peters, Francesca, Ré, Francesca, Brucchi, Francesco, Casti, Francesco, Coratti, Francesco, Ferrara, Francesco, Floris, Francesco, Izzo, Francesco, Maffei, Francesco, Palmieri, Francesco, Pata, Francesco, Porcelli, Francesco, Selvaggi, Francesco, Velluti, Francesco, Mulita, Francesk, Bello, Francis, Caiquo, Francis, Dossou, Francis, Eshun, Francis Junior, Opoku Twene, Francis, Tierenye, Francis, Quayson, Francis William, Romo Rosales, Francisco David, Ibañez Ortiz, Francisco, León Frutos, Francisco Javier, Redondo Calvo, Francisco Javier, Silva Rivera, Francisco Javier, Barbosa Camacho, Francisco José, Bujalance Cabrera, Francisco Manuel, Ruescas, Francisco, Irakiza, Franck Fanon, Corvatta, Franco, Pascual, Franco Raúl, Roviello, Franco, Roodt, Francois, Gyamfi, Frank Enoch, Olaniru, Frank, Owusu, Frank, Bader, Franz G., Anzinger, Franz-Xaver, Agbodo, Fred David Anku, Ris, Frederic, Agbemafoh, Frederick Mawuli, Afonso, Frederico, Nazareth, Frederico, Berrevoet, Frederik, Hounde, Fréjus, Demiral, Furkan, Hassooni, Furqan Ridha Hassooni, Kafa, Gabi, Cárdenas Rivera, Gabriel, Ntwari, Gabriel, Szydlo Shein, Gabriel, Ambriz González, Gabriela, Nita, Gabriela Elisa, Bellio, Gabriele, Moitzi, Gabriele, Urdang, Gabriella, Marom, Gad, Gallo, Gaetano, Luglio, Gaetano, Poillucci, Gaetano, Singh, Gagandeep, Saletta, Gaia, Abouelnagah, Galal, Yarovenko, Galina, Kazobinka, Gallina, Ahmed, Gamal Mutwakil Gamal, Rahman, Ganiyu Adebisi, Smith, Garett, Pillai, Gargi, Saxena, Garima, Gbessi, Gaspard, Nkunguzi, Gaston, Jalal, Gaurav, Chillarge, Gauri, Singh, Gautam, Mevognon, Gedeon, Getachew, Gedion, George, Gejoe, De La Peña González, Gema, Martínez Izquierdo, Gema, Grande, Gennaro, Birikorang, Geoffrey, Weber, Georg F., Singer, Georg, Ansong, George, Bashour, George, Brown, George Darko, Hneino, George, Kavalieratos, George, Kenchadze, George, Nagy, George, Pappas Gogos, George, Skroubis, George, Waiyaki, George, Cox, Georgia, Zeringa, Georgia, De Wee, Georgin, Hart, Georgina, Bekakos, Georgios, Fragulidis, Georgios, Kapogiannatos, Georgios, Karakaidos, Georgios, Kokkinos, Georgios, Kostoulas, Georgios, Koukoulis, Georgios, Peros, Georgios, Rados, Georgios, Tsoulfas, Georgios, Verras, Georgios-Ioannis, Berger, Geraint, Adoro, Gerard Ayuka, Chamoso Mialdea, Gerardo, Palmieri, Gerardo, Procaccini, Gerardo, Steenkamp, Gerhard, Viscido, Germán Rodrigo, Dajti, Gerti, Alemayehu, Getachew, Seyfu, Gezachew, Birqeeq, Ghada, Alsheikh, Ghadeer, Alrayyes, Ghaith, El Hunjul, Ghalib Nashaat, Zaza, Ghayath, Matroud, Ghazlah, Alhadwah, Ghena, Maltinti, Gherardo, Awais, Ghina, Shamsi, Ghina, Calini, Giacomo, Carganico, Giacomo, Zanus, Giacomo, Canu, Gian Luigi, Mendiola, Gian, Ibero Casadiego, Giana Pamela, Cocorullo, Gianfranco, Baronio, Gianluca, Pellino, Gianluca, Zanni, Gianluca, Poto, Gianmario Edoardo, Gravante, Gianpiero, Aduroja, Gideon, Almogy, Gidon, Bond-Smith, Giles, Natchagande, Gilles, Bechara, Gio, Brachini, Gioia, Riccioli, Giordana, Ercolani, Giorgio, Farris, Giorgio, Giraudo, Giorgio, Mammolo, Giovanna, Pavone, Giovanna, Sgarzini, Giovanna, Aprea, Giovanni, Fonsi, Giovanni Battista, Boroni, Giovanni, De Angeli, Giovanni, De Palma, Giovanni Domenico, Emiliani, Giovanni, Grava, Giovanni, Guercio, Giovanni, De Carlo, Giulia, Del Corpo, Giulia, Duranti, Giulia, Galatioto, Giulia, Grassi, Giulia, Graziano, Giulia, Marini, Giulia Maria Francesca, Munzi, Giulia, Tarantino, Giulia, Borda-Luque, Giuliano, Pellicano', Giuseppe Antonino, Canonico, Giuseppe, Carollo, Giuseppe, Ietto, Giuseppe, Palomba, Giuseppe, Pascarella, Giuseppe, Salamone, Giuseppe, Sica, Giuseppe, Sorrentino, Giuseppe, Orlando, Giuseppina, Pignata, Giusto, Pisarevi, Givi, Akcakoca, Gizem, Owusu, Godfred, Yohanna Abrak, Godwin, Kurtoglu, Gokalp Kagan, Kurtoglugk, Gokalp Kagan, Alıcı, Gökhan, Kurtoglu, Goktug Mert, Delgado Hernandez, Gonzalo, Augustin, Goran, Bhat, Gowhar Aziz, Sundaram Venkatesan, Gowtham, Chang, Grace, Eke, Grace, Lee, Grace, Massarra, Grace, Travaglini, Grazia, Scialandrone, Grazisa, Stavrou, Gregor A., Di Franco, Gregorio, Charalambous, Gregory, Christodoulidis, Gregory, Kouraklis, Gregory, Goodwin, Gregory Richard, Devidze, Grigol, Fialho, Guilherme, Santos, Guilherme, Cabezudo, Guillermo, García-Santos, Guillermo, Pou, Guillermo, Romero Reyna, Guillermo, Yanowsky-Reyes, Guillermo, Ozyuksel, Gul, Karadeniz Cakmak, Guldeniz, Kucuk, Gultekin Ozan, Bulbuloglu, Guney Cem, Sarp, Guray, Kaur, Gurleen, Nibogora, Guy Darcy, Hamdan, Gymar, Ogundipe, Habeeb, Yunes, Habib, Ayesh, Hadeel, Al Atassi, Hadi, Jalilehvand, Hadis, Masalma, Hafez, Jafarkhan, Hafis, Shahid, Hafiz Huzaifa, Younus, Hafsa, Al-Derume, Hail, Shames, Haitam, Mimouni, Haithem Ahmed, Aldare, Hajar, Odah Bashi, Hajar Omar, Abusnina, Hajer, Altounsi, Hajir, Qayum, Hajra, Baysal, Hakan, Bolukbasi, Hakan, Yigitbas, Hakan, Alkhatib, Hala, Afzal, Haleema, Mftah, Halima, Oyinlola, Halimah, Tümer, Haluk, Dolo, Hamadoun, Braham, Hamdi, Ozsahin, Hamdi, Abu-Arish, Hamdoon, Al-Aamri, Hamed, Fadlalmola, Hammad Ali, Abu Obead, Hamza, Al-Fahel, Hamza, Al-Zoubi, Hamza, Asaad, Hamza, Ejaz, Hamza, Jaber, Hamza, Bhatti, Hamza Waqar, Mohammadi Sardoo, Hamzeh, Farhat, Hana, Idheiraj, Hanadi, Zwaraa, Hanady, Al Sohabi, Hanan, Basharat, Hanan, Said, Hanan, Al-Abdallat, Haneen, Foad, Haneen, Daaboul, Hanen, Al Qadhi, Hani, Elhallaq, Hani, Alhusaini, Hanin, Lidbetter, Hannah, Reilly, Hannah, Moya- Ambriz, Hannia Betzabeth, Lederhuber, Hans, Fehrer, Hans-Jörg, Xiao, Haotian, Iswariah, Harish, Kaur, Harmeena, Cheema, Harnoor Kaur, Foda, Haroun, Chauhan, Harpreet, Kaur, Harpreet, Sagar, Harry, Unwin, Harry, Kaur, Harsharan, Panga, Harshavardhan, Gupta, Harshit, Prabhakar, Harshit Kumar, Anand, Harshitha, Pahwa, Harvinder Singh, Abbadi, Hasan, Amoudi, Hasan, Zaini, Hasan Hadi Zaini, Škiljo, Hasan, Miyasika, Hasangi, Altabbaa, Hashem, Haj Freej, Hasn, Abdelazim, Hassan, Habiba, Hassan, Kamal, Hassan, Sabir, Hassan, Zaigham, Hassan, Pehlivan, Hatice, Telci, Hatice, Abuobaida, Hayat, Tetley, Heather, Taher, Heba, Aguado López, Héctor, Askarpour, Hedyeh, Sherif Farouk Ahmed Hassan, Heidi, Devesa, Helena, Arbogast, Helmut, Nuñez Del Barrio, Henar, Abiyere, Henry, Delacave, Henry, Rice, Henry E., Pleass, Henry, Bradly, Hera, Islam, Heraa, Lule, Herman, Abozied, Hesham, Le Roux, Hettie, Hamdar, Hiba, Yaghmour, Hiba, Bileid Bakeer, Hibah, Al Miskry, Hilal, Ulman, Hilmican, Abdoun, Hind, Essalim, Hind, Yonekura, Hiroshi, Kato, Hiroyuki, Amin-Tai, Hizami, Kynaston, Holly, Pérez Baca, Honorio De Jesús, Irfan Khan, Hoor, Amir, Hosam, Elghadban, Hosam, Elfeki, Hossam, Wain, Howard, Adjei, Hubert, Dąbrowski, Hubert, Novák, Hubert, Alzuhd, Huda, Capote, Hugo, Gomez-Fernandez, Hugo, Stark, Hugo, Willy-Chidire, Hulda, Aouagbe Behanzin, Hulrich, Oneizah, Humam M.A., Dalati, Husam, Ebied, Husam, Mahajna, Husam, Ahmad, Husnain, Altawati, Husni, Adi, Hussam, Albalawi, Hussam, Alfakeer, Hussein, Embarek, Hussein, Ibrahim, Hussein, Malkawi, Hussein, Ekwuazi, Hyginus, Psilopatis, Iason, Wasiu, Ibitowa, Kereet, Ibraheem M., Suleiman, Ibrahem, Fortune, Ibrahim, Aburumman, Ibrahim, Adel, Ibrahim, Adham, Ibrahim, Ali, Ibrahim, Arnaout, Ibrahim, Çakır, Ibrahim, Suleiman, Ibrahim Eneye, Fagiri, Ibrahim, Hajmohammed, Ibrahim, 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Bertrand, Martin, Dum, Martin, Kajic, Martin, Karamanliev, Martin, Kyereh, Martin, Lucchini, Martin, Schön, Martin, Morna, Martin Tangnaa, Binda, Martina, Ceolin, Martina, Martorana, Martina, Zambon, Martina, Shams, Marvi, Alansary, Marwa, Alnuwayli, Marwa, Khalifa, Marwa, Bahnacy, Marwan, Iqreewi, Marway, Nnabagulanyi, Mary, Saleem, Marya, Alhimyar, Maryam, Kamal, Maryam, Masood, Maryam, Razaq, Maryam, Siddique, Maryam, Lazo Ramírez, Maryzela, Edeeb, Masaoud, Solkar, Maseera, Adetoyi, Mashood, Adeniyi, Caccetta, Massimiliano, Casati, Massimiliano, Veroux, Massimiliano, Dugo, Massimo, Bevanda, Mateo, Santillan, Mateo, Mietła, Mateusz, Pryt, Mateusz, Muir, Mathew, Bei, Matilda, McGuinness, Matt, Aulicino, Matteo, Castrovillari, Matteo, Filardo, Matteo, Palmeri, Matteo, Pisano, Matteo, Rottoli, Matteo, Gjoka, Mattheus, Binks, Matthew, Corcos, Matthew, Kwon, Matthew, Maybury, Matthew, Sammut, Matthew, Tutton, Matthew, Watson, Matthew, Biebl, Matthias, Janda, Matthias, Maak, Matthias, Wichmann, Matthias, Berselli, Mattia, Gritti, Mattia, Molteni, Mattia, Pacilli, Maurizio, Favoriti, Mauro, Garino, Mauro, Podda, Mauro, Santarelli, Mauro, Alfaid, Mawada, Albert, Mawadri Jimmy Isaac, Oyortey, Mawuenyo Attawa, Enßlin, Max, Berlet, Maximilian, Brunner, Maximilian, Kießler, Maximilian, Scheiterle, Maximilian, Sohn, Maximilian, Busch, Maximiliane, Perkins, Maya, Sabboh, Maya, Badkur, Mayank, Okudero, Mayowa, Mohamedshafee, Maysoon, Al-Juaifari, Maytham Aqeel, Elesseily, Mazen, Mohammad, Mazen, Nikberg, Maziar, Jean Claude, Mbonicura, Şermet, Medeni, Chisthi, Meer, Luthra, Meera, Sulciner, Megan, Kaple, Meghali, Bhat, Meghana, Koç, Mehmet Ali, Avci, Mehmet Alperen, Kizilkaya, Mehmet Celal, Kara, Mehmet Emin, Ozcelik, Mehmet Faik, Ozsoy, Mehmet Sait, Zaigham, Mehreen, Mesfin, Mekdelawit, Kalender, Mekselina, Mellado Tellez, Mel Paul, González De Miguel, Melania, Farrugia, Melanie, Theodoridou, Melanie, Barcelona, Melden Darrell, Aktas, Melik Kagan, Fernández Zurita, Melissa Andrea, Bautista, Melissa, Park, Melissa, Rodríguez-Ordoñez, Melissa-Zohemia, Yashar, Meltem, Worku, Mengistu, Al-Fraijat, Meran, Estaire Gómez, Mercedes, Shoshkova, Meri Danailova, Kruščica, Merima, Tanal, Mert, Çuhadar, Merve, Tokocin, Merve, Agyapong, Meshach Manu, Erkaya, Metincan, Okechukwu, Mgbako, Adinku, Michael, Bickford, Michael, Ediale, Michael, Issa, Michael, Konstantinidis, Michael K., Lie, Michael, M. Nathan, Michael, Maclean, Michael, Nortey, Michael, Pellen, Michael, Pham, Michael, Pitiakoudis, Michael, Singh, Michael Prodip, Spartalis, Michael, Van Der Colf, Michael, Wilson, Michael, Billis, Michail, Karanikas, Michail, Papamichail, Michail, Vailas, Michail, Kisielewski, Michał, Kusiński, Michał, Nycz, Michał, Święch, Michał, Fagbayimu, Micheal, Adamina, Michel, Fiogbe, Michel, Prudhomme, Michel, Angelucci, Michela, Campanelli, Michela, Cricrì, Michele, Grande, Michele, Manigrasso, Michele, Scopelliti, Michele, George, Michelle, Mozel, Michelle, Galasyuk, Mick, Chevallay, Mickael, Giuliano, Micol, Dobón Rascón, Miguel Ángel, Fernandez Romero, Miguel Angel, García Ureña, Miguel Ángel, Zaragoza Mendieta, Miguel Ángel, Bejarano Serrano, Miguel, Brito, Miguel, Calderon, Miguel, Jurado Román, Miguel, Palas, Miguel, Li Valencia, Miguel Roberto, Sebastián-Mendoza, Miguel-Julián, Muresan, Mihai-Stefan, Slavchev, Mihail, Agapov, Mikhail, Milentijević, Milica, Catterall, Millie, Stjepanovic, Milos, Doss, Mina, Natey, Mina, Aikins, Minas, Mattis, Minca, Ekanayake, Minoli Tharushika, Tora, Mir Mehrab Sharmin, Alsharayri, Mira, Shalaby, Mira, Boras, Miran, Riba Martínez, Mireia, Mogiatti, Mirella, Salibašić, Mirhan, Biancu, Miriam, Cappiello, Miriam, Koschke, Miriam Luise, Sadek, Mirna, Szura, Miroslaw, Horga, Miruna, Dason, Mishael, Tayyab, Mishal, Imirski, Mitko, Pejović, Mladen, Tabaza, Mo'Ath, Alneasan, Moaaz, Shalkamy, Moamen, Issa, Moammad Issa, Erfan, Moatasem, Ewedah, Moataz, Srour, Moayad, Beletachew, Moges, Abbas, Mohamad, Farho, Mohamad Ali, Marawy, Mohamad Kher, Klib, Mohamad, Morjan, Mohamad, Sawas, Mohamad Nabhan, Elghriani, Mohamed Abdelbaset Masoud, Abdelmaboud, Mohamed, Abdelmaksoud, Mohamed, Abdullahi, Mohamed, Abo Abdo, Mohamed, Ahmed, Mohamed, Ahmoud, Mohamed, Al Sayed, Mohamed, Suliman, Mohamed Almouafaq, Alsori, Mohamed, Altajouri, Mohamed, Assalhi, Mohamed, Berrakkouch, Mohamed, Elnour, Mohamed, Abdelsalam, Mohamed Elsayed Elaraby Abdelrahim, Elsayed Metwally, Mohamed, Hajalamin, Mohamed, Kamal Matter, Mohamed, Khaled, Mohamed, Kouta, Mohamed, Masoud, Mohamed, Almihashhish, Mohamed Miftah, Mokhtar, Mohamed, Mostafa, Mohamed, Yassin, Mohamed Musa, Bouhafs, Mohamed Nedjmeddine, Herdan, Mohamed Omar, Omer, Mohamed, Osman, Mohamed, Zaazou, Mohamed, Zahed Abdalla, Mohamed, Melouane, Mohamed-Sami, Abed, Mohammad, Sawaftah, Mohammad Ahmad Mohammad, Al-Masri, Mohammad, Al-Qannas, Mohammad, Ali-Hassanzadeh, Mohammad, Yunus, Mohammad Alif, Aloulou, Mohammad, Alrantisi, Mohammad, Araydah, Mohammad, Bani Hani, Mohammad, Barakat, Mohammad, Durrani, Mohammad, Khan, Mohammad Faisal, Dwikat, Mohammad Fuad, Hasan, Mohammad, Nabhan, Mohammad Hassan, Hijazi, Mohammad, Abu Albahrain, Mohammad Karam, Barakat, Mohammad Mounzer, Mubarak, Mohammad, Omar, Mohammad, Pourfridoni, Mohammad, Mslmani, Mohammad Rabee, Salah, Mohammad, Tanashat, Mohammad, Yahmad, Mohammad, Elmujtaba, Mohammed, Abd Al-Fattah, Mohammed, Abdelkabir, Mohammed, Abosedra, Mohammed, Sarker, Mohammed Abu Kawsar, Abudabbous, Mohammed, Abuwarda, Mohammed, Elgak, Mohammed Ahmed, Al Hinai, Mohammed, Al Zebda, Mohammed, Al-Shehari, Mohammed, Alharthi, Mohammed, Ali, Mohammed, Ismael Alamin, Mohammed Ali, Alqadasi, Mohammed, Alshanwani, Mohammed, Alshehri, Mohammed, Asaad, Mohammed, Bashir, Mohammed, Bohlala, Mohammed, Meghaizerou, Mohammed El Amine, Albanna, Mohammed Emad Hashem, Ghunaim, Mohammed, Goga, Mohammed, Hajhamad, Mohammed, Hamada Takrouney, Mohammed, Hammoda, Mohammed, Hamoud Almahly, Mohammed, Muragi, Mohammed, Mohammed, Mohammed Mustafa Hassan, Obaid, Mohammed, Omar, Mohammed, Said, Mohammed, Salah, Mohammed, Saleh Khatab, Mohammed, Aliyu, Mohammed Salele, Shakhshir, Mohammed, Sheriff, Mohammed, Tageldin, Mohammed, Abdelfattah, Mohanad, Daher, Mohanad, Lotfy, Mohanad, Alqedrh, Mohannad, Nasani, Mohannad, Mohd Shah, Mohd Shahrulsalam, Madany, Mohie El-Din Mostafa, Mobolaji-Ojibara, Mojisola, Nkogatse, Moleseng, Alazabi, Mona, Gupta, Money, Bogdan, Monica, Guerrero, Monica, Noguez Castillo, Monica, Gureh, Monika, Kacem, Montasser Jamaleddine, Tarar, Moosa Feroze, Seto, Morel, Steinruecke, Moritz, Edena, Morrison, Abdulsalam, Moruf, Abdelhadi Suliman Adam, Mosab, Saleh, Mosab, Anati, Mosaikah, Dokurugu, Moses Abdulai, Agunloye, Moses, Ibadin, Moses, Momoh, Moses, Abdelkarim, Mostafa, Kamar, Mostafa, Kotb, Mostafa, Mahran, Mostafa, Mohamad Amin, Mostafa, Shalaby, Mostafa, Waseem, Mostafa, Almaletti, Motasem, Saifi, Motaz, Tsuruta, Motohisa, Agbadebo, Mouhamed, Arnaout, Moumen, Ojo, Moyosoluwa, Sharma, Mrthyunjayani, Azzuz, Muad Mohamed Ramadan, Haj Hussein, Mudar, Ameen, Muftiat Omolola, Nkoronko, Mugisha, Fitri, Muhamad, Abdullah, Muhammad, Bashir, Muhammad Ahmad, Sadiq, Muhammad Ahmad, Ahmed, Muhammad, Ali, Muhammad, Al-Yusuf, Muhammad Ali, Haider, Muhammad Aliyan, Alshaar, Muhammad, Mirza, Muhammad Bilal, Che Yaacob, Muhammad, Daniyan, Muhammad, Elzayat, Muhammad, Butt, Muhammad Faizan, Sadiq, Muhammad Hamza, Chishti, Muhammad Haris, Ismail, Muhammad Izzat Shufphi, Kashif, Muhammad, Khalid, Muhammad, Mansoor Iqbal, Muhammad, Bin Khalid, Muhammad Moaz, Rafique, Muhammad Nouman, Raheem, Muhammad, Khalid, Muhammad Saud, Usama, Muhammad, Usman Malik, Muhammad, Saqib, Muhammad Waleed, Elhadi, Muhammed, Ateş, Muhammed Ikbal, Demirpolat, Muhammed Taha, Ergenç, Muhammer, Bello, Muideen, Kulimbet, Mukhtar, Nyirenda, Mulinda, Taeme, Mulugeta, Denini, Muna, Aziz, Munazzah, Yahaya, Mundashiru, Eugene, Muneza, Amadu, Munira, Chauhan, Munish, Acar, Murat, Teressa, Murti, Dauphin, Muryango, Arafat, Musa, Althomali, Musab, Rayzah, Musaed, Husain, Musharraf, Tolani, Musliu Adetola, Abu Jayyab, Mustafa, Al-Attraqchi, Mustafa, Kara, Mustafa Alper, Seker, Mustafa Ege, Gün, Mustafa, Hamed, Mustafa, Mehanny, Mustafa, Oncel, Mustafa, Sabri Massadi, Mustafa, Uyanik, Mustafa Safa, Uzunoglu, Mustafa Yener, Abdullahi, Mustapha, Saidani, Mustapha, Nofal, Mutaz, San, Myat, Ishak, Myrna, Keramida, Myrto D., Nik Burhanuddin, N.M. Syahrin, Talat, Nabila, Shehata, Nada, Alasbahi, Nadeen, Marcos, Nádia, Al Amri, Nadiah, Absy, Nadine, Parker, Naeelah, Lindi, Naeimah, Omer, Nafisa, Papadogianni, Nafsika, Rawal, Nagendra, Ismaiel, Nahar, Ben Hasan, Najat, Albahloul, Najla, Gokhare Viswanath, Nakul, Srinivas, Namitha, Christian, Nana Ama, Obuobi, Nana Kwame Asare, Beharry, Naomi, Yousefzadeh Kandevani, Naser, Alnamari, Nashwan, Oyelowo, Nasir, Oloko, Nasirudeen, Alzerwi, Nasser, Mosbah, Nasser, Shulman, Nastassia, Andrade, Natacha, Boumas, Natacha, Cobeño Tamayo, Natalia, Barrera Lopez, Natalia Guadalupe, Palamara, Natalia, Blencowe, Natalie, Marzouqa, Natalie, Blencowe, Natalie S, Salgadoe, Natalie, Techapongsatorn, Nathakorn, Paez, Nathaly, Ekwo, Nathan, Saini, Navdeep, Malik, Naveed Akhtar, Sharma, Naveen, Kumar, Navin, Chaudhry, Navneet Kumar, Karimbocus, Nawaaz, Rasool, Nazeerah, Lodhi, Nazia, Kavak, Nazli, Ildephonse, Ndayiragije, Diomede, Nduwimana, Bayleyegn, Nebiyou S., S.Bayleyegn, Nebiyou, Jović, Nediljko, 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Nikolaos, Memos, Nikolaos, Michalopoulos, Nikolaos, Mathioudakis, Nikolaos Nestor, Roukounakis, Nikolaos, Stamos, Nikolaos, Tasis, Nikolaos, Tsakiridis, Nikolaos, Vlachakos, Nikolaos, Zampitis, Nikolaos, Kouzakos, Nikolas, Börner, Nikolaus, Dimitriou, Nikoletta, Dafnios, Nikos, Banerjee, Niladri, Klammer, Nils, Maharjan, Nima, Rabai, Nimah, Oscar, Nimpaye, Harrison, Nina, Kheyrbek, Nina, Kansakar, Nirajan, Bhat, Nisar, Krishnappa, Nischal, Pahuja, Nisha, Paul Ambrose, Nitin, Renovat, Niyongabo, Musawa, Nizar, Nwanne, Njideka, Steve, Nkurunziza, Chidumije, Nnaemeka, Nwafulume, Nnaemeka, Celestine, Nnamani, Duru, Nnamdi, López Bernal, Noelia Esthela, Laquatra, Noemi, Pasqua, Noemi, Awwad, Noor Al-Deen, Ali, Nora, Hielscher, Nora, Trabulsi, Nora, Hüser, Norbert, Muñoz Montes, Norberto, Eshak, Norma-Sol, Rajab, Nosaiba, Lahnaoui, Nouhaila, Ouachou, Nouhaila, Ali, Nour, Dadoush, Nour, Fazili, Noureen, Theophile, Ntahompagaze, Ntanzi, Ntuthuko, Bibila, Nubia Samuel, Alwaer, Nuhay, Naabo, Nuhu, Jiagge, Nuna, Freitas Oliveira, Nuno Miguel, Pratas, Nuno, Morricone, Nunzia, Franco, Nunzio Francesco, Binti Yusri, Nur Aima, Ramli, Nur Natasya, Abd Ghani, Nur Suriyana, Umar, Nura, Aly, Nuran Khaled, Lakhanov, Nurgali, Al-Hroub, Nurhan, Kiziltoprak, Nurhilal, Chavarrias, Nuria, Maulenov, Nurlan, Akinbami, Nurudeen, Abdulraheem, Nurudeen Toyin, Karunaratne, Nuwanthika, Jeannette, Nyiransabiyera, Altobaishat, Obieda, Egwuonwu, Ochonma Amobi, Enciu, Octavian, Cohen-Arazi, Oded, Pheiffer, Odette, Okoye, Odili Aloysius, Omoike, Ofure, čančar, Ognjen, Ekwunife, Okechukwu Hyginus, Emuze, Okundayo, Eljizoly, Ola Abdallah, Al Hamdani, Ola, Emadeldeen, Ola, Morgan, Ola, Olajumoke, Oladapo, Popoola, Olakunle, Ajiboye, Olalekan, Olasehinde, Olalekan, Jolayemi, Olamide, Babatunde, Olanrewaju, Balogun, Olanrewaju, Olajide, Olawumi, Lisin, Oleg, Bellou, Olga, Jurić, Oliver, Ladlow, Oliver, Whitehurst, Oliver, Camilleri, Olivia, Montaño Angeles, Olivia, Pryer, Olivia, Ray, Olivia, Gabom, Olivier, Ndizeye, Olivier, Ojewuyi, Olufemi, Oluyemi, Olukayode, Elebute, Olumide, Ogunsua, Oluseyi, Fasiku, Olushola Kayode, Fasoro, Olusola, Fatudimu, Oluwafemi, Osunlusi, Oluwafemi, Owolanke, Oluwagbenga, Oso, Oluwarotimi, Alaba, Oluwaseun, Ojo, Oluwaseun, Oluseye, Oluwaseun, Oyinloye, Oluwaseun, Al Alyani, Omaima, Okrah, Omane, Agha, Omar, Al-Fahel, Omar, Almomani, Omar, Alruwaili, Omar, Ibarra, Omar, Ibrahim, Omar, Khalil, Omar, Kouli, Omar, Lima Azurdia, Omar, Mansour, Omar, Mohamed Mokbel, Omar, Omar, Omar, Bedak, Omer, Ozkan, Omer Faruk, Yalkın, Omer, Mohamed, Omnia, Ayandipo, Omobolaji, Faboya, Omolara, Williams, Omolara Modupe, Irowa, Omorodion, Attawodi, Onuche, Salako, Opeyemi, Ioannidis, Orestis, Agcaoglu, Orhan, Martin Sole, Oriol, Webster, Orla, Abouhiekal, Osama, Al Shaqran, Osama, Bahsas-Zaky, Osama, Nubi, Osama Gamal, Hany, Osama, Matar, Osama, Mahafdah, Osama R., Sarhan, Osama, Osagie, Osasumwen, Soublett Rivas, Óscar Alexander, Gülcicek, Osman Bilgin, Cuenca Torres, Osmar Manuel, Carpineto Samorani, Osvaldo, Arsalan, Othman, Coyoy-Gaitán, Otto, Nouhail, Oumaima, Boujidi, Oumama, Dicko, Ousmane A A, Ahmad, Owais, Christianah, Oyegbola, Küpçüoğlu, Özge, Zanbak Mutlu, Özgecan Pırıl, Chadha, P, Prabhu, P Santosh, Carmignani, Pablo, Arteaga Asensio, Pablo Cesar, Del Val Ruiz, Pablo, Royo Dachary, Pablo, Sancho Pardo, Pablo, Vásquez, Pablo, Sukhvibul, Pakkapol, Assouto, Pamphile, Evangelou, Panagiota, Dorovinis, Panagiotis, Kapsampelis, Panagiotis, Kokoropoulos, Panagiotis, Kostoglou, Panagiotis, Manikis, Panagiotis, Sakarellos, Panagiotis, Lykoudis, Panagis, Kumar, Pankaj, Patel, Panna, Paraskeva, Panoraia, Vassiliu, Panteleimon, Antonakis, Pantelis, De Nardi, Paola, Marongiu, Paola, Kamenova, Paolina, Venturelli, Paolina, Belotti, Paolo, Ubiali, Paolo, Grivas, Paraskevas, Stamopoulos, Paraskevas, Chatzikomnitsa, Paraskevi, Trakosari, Paraskevi, Tekam Wadje, Parfait Stéphane, Manjunath, Parikshith, Gupta, Pariza, Dhamija, Parth, Haque, Parvez, Haque, 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Published: 2024
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34. Does forearm referencing using a retroversion guide achieve the targeted retroversion of the humeral component in reverse shoulder arthroplasty?

Author: Jomaa, Mohammad N., Branni, Marco, Ingoe, Helen, Pareyon, Roberto, Italia, Kristine, Launay, Marine, Salhi, Asma, Gilliand, Luke, Nielsen, James, Maharaj, Jashint, Cutbush, Kenneth, and Gupta, Ashish
Published: 2024
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35. Sleep disorders in rheumatoid arthritis patients

Author: Brahem, Mouna, Chebil, Azer, Abid, Hayfa, Jomaa, Olfa, Sarraj, Rihab, Jebali, Besma, Abdellatif, Sirine, ben Salem, Amani, Hachfi, Haifa, Mighri, Khalifa, and Younes, Mohamed
Published: 2024
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36. HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML

Author: Arango, Sebastian Pineda, Jomaa, Hadi S., Wistuba, Martin, and Grabocka, Josif
Subjects: Computer Science - Machine Learning
Abstract: Hyperparameter optimization (HPO) is a core problem for the machine learning community and remains largely unsolved due to the significant computational resources required to evaluate hyperparameter configurations. As a result, a series of recent related works have focused on the direction of transfer learning for quickly fine-tuning hyperparameters on a dataset. Unfortunately, the community does not have a common large-scale benchmark for comparing HPO algorithms. Instead, the de facto practice consists of empirical protocols on arbitrary small-scale meta-datasets that vary inconsistently across publications, making reproducibility a challenge. To resolve this major bottleneck and enable a fair and fast comparison of black-box HPO methods on a level playing field, we propose HPO-B, a new large-scale benchmark in the form of a collection of meta-datasets. Our benchmark is assembled and preprocessed from the OpenML repository and consists of 176 search spaces (algorithms) evaluated sparsely on 196 datasets with a total of 6.4 million hyperparameter evaluations. For ensuring reproducibility on our benchmark, we detail explicit experimental protocols, splits, and evaluation measures for comparing methods for both non-transfer, as well as, transfer learning HPO., Comment: 10 pages
Published: 2021

37. Variations in the Citation Use and Perceptions in Writing the Literature Review by EFL Postgraduates

Author: Jomaa, Nayef Jomaa and Bidin, Siti Jamilah
Abstract: Academically, citation is pivotal since it presents justifications for the arguments and a demonstration of the writer's position. Despite the increasing number of studies on citations, little knowledge has been reported regarding the citation use and practices of EFL students within the ESL context. Hence, the present study aimed at investigating the extent of variation in the citation practices in the literature review of PhD theses in Applied Linguistics and Information Technology. The study analysed the citations qualitatively focusing mainly on several aspects, including using types of citations, the variety of the citations based on the type of the clauses in each citation, and the perspectives of EFL Arab postgraduates on using citations. A purposeful sampling was adopted in selecting the literature review of 20 PhD theses and nine EFL Arab candidates of Applied Linguistics and Information Technology. The results show the dominance of the integral citation in the literature review of Applied Linguistics and Information technology. The inter-disciplinary comparison also reported similarity in terms of the high frequency of using citations with clauses complexes. The discourse-based interviews revealed that EFL Arab postgraduates depended on the integral citation to highlight ideas, attract the reader's attention, affirm the credibility of the cited information, and refer to the type of the information. The little available information on using citations and the possible effect of their native language may lead EFL Arab postgraduates to have their own strategies regarding citations use. Consequently, EFL postgraduate students probably need explicit instructions on the use of citations.
Published: 2019

38. Hyperparameter Optimization with Differentiable Metafeatures

Author: Jomaa, Hadi S., Schmidt-Thieme, Lars, and Grabocka, Josif
Subjects: Computer Science - Machine Learning
Abstract: Metafeatures, or dataset characteristics, have been shown to improve the performance of hyperparameter optimization (HPO). Conventionally, metafeatures are precomputed and used to measure the similarity between datasets, leading to a better initialization of HPO models. In this paper, we propose a cross dataset surrogate model called Differentiable Metafeature-based Surrogate (DMFBS), that predicts the hyperparameter response, i.e. validation loss, of a model trained on the dataset at hand. In contrast to existing models, DMFBS i) integrates a differentiable metafeature extractor and ii) is optimized using a novel multi-task loss, linking manifold regularization with a dataset similarity measure learned via an auxiliary dataset identification meta-task, effectively enforcing the response approximation for similar datasets to be similar. We compare DMFBS against several recent models for HPO on three large meta-datasets and show that it consistently outperforms all of them with an average 10% improvement. Finally, we provide an extensive ablation study that examines the different components of our approach.
Published: 2021

39. Quatrième de couverture

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

40. Notices biographiques

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

41. Chapitre 18 : L’évènement par réactualisation : La muséalisation de Leaves of Grass

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

42. Chapitre 16 : Today We Reboot the Planet : Conserver et exposer le vivant

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

43. Chapitre 13 : La tradition de l'artiste commissaire dans les collections de la National Gallery : De David Hockney à Tacita Dean

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

44. Chapitre 17 : La muséalisation de la danse : L’acquisition collaborative des Dance Constructions de Simone Forti au MoMA

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

45. Chapitre 14 : Une carte blanche à la création : Le cas d’Encounters : New Art from Old

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

46. Partie 5 : Muséaliser

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

47. Partie 4 : Réactualiser

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

48. Chapitre 15 : Les artistes en art contemporain dans les collections : Une recension depuis 1940

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

49. Chapitre 9 : Un miroir dans les collections: singularisations depuis Jacques-Louis David et Picture of the Month

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

50. Chapitre 10 : Au fil des collections au Musée des beaux-arts de Montréal : Déambulation parmi quelques pièces remarquables

Author: Quirion Jean-Michel, Prioul Didier, O’Brien Mariah, Minier Jessica, Miclo Anne-Sophie, Lacroix Laurier, Labonté Marilie, Khalifé Lamis, Jomaa Safia, Greenberg Reesa, Glicenstein Jérôme, Bouraly Lisa, Bouchard Anne-Marie, Bawin Julie, Lamoureux Johanne, Fraser Marie, Boucher Mélanie, and Chevalier Geneviève
Published: 2023

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