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

28,890 results on '"SAMI, A."'

1. The impact of erector spinae plane (ESP) block on neurophysiological monitoring in patients undergoing scoliosis repair.

Author: Kamel, Walid Youssef, Attia Sami, Engy Sami, and Abdelrazik, Rehab A.
Abstract: Background: Preventive analgesia is designed to ensure perioperative pain control. The erector spinae plane (ESP) block may abolish the neuroendocrine stress response and augments controlled hypotensive anesthesia. But to what extent does it interfere with spinal cord function. Methods: The patient's population is divided into Group N (control) and Group E (ESP Group). A baseline for the amplitude and/or latency of either somatosensory evoked potentials (SSEPs) or motor evoked potentials (MEPs) were collected (30 min after induction of anesthesia and after full reverse of muscle relaxant before performing ESP block) in group E, the change from the baseline was recorded as a percent decrease. The total dose of anesthetics, the adjuvant analgesics and the postoperative complications were recorded. Results: The change in the latency and the amplitude of SSEPs and MEPs among the two groups showed a non-significant change from the baseline. The intra-operative fentanyl consumption was significantly lower in group E than in C. The mean was 21.5 ± 25 vs 178.2 ± 46 mg respectively. The total doses of propofol and dexmedetomidine were lower in group E than in C. 18% of the patients in group E requested a rescue analgesic at a median of 70 (65) min postoperatively vs 55% of those in group C that requested analgesics earlier at a median 16(6) min. Conclusion: The ESP block can be safely used without interfering with the monitoring of the somatosensory and MEPs during complex spinal surgery. [ABSTRACT FROM AUTHOR]
Published: 2024
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2. Global trends in opioid use for pain management in acute pancreatitis: A multicentre prospective observational study

Author: Knoph, Cecilie Siggaard, Lucocq, James, Kamarajah, Sivesh Kathir, Olesen, Søren Schou, Jones, Michael, Samanta, Jayanta, Talukdar, Rupjyoti, Capurso, Gabriele, de‐Madaria, Enrique, Yadav, Dhiraj, Siriwardena, Ajith K., Windsor, John, Drewes, Asbjørn Mohr, Nayar, Manu, Cark, Neil, Pius, Riinu, Houghton, Eduardo, Gimenéz, Mariano, Uribe, Karla, Rodriguez, Florencia, Gundara, Justin, Mackay, Thomas, Phan, Huynh, Lewin, Joel, McElhatton, Claire, Siriwardhane, Mehan, Hodgson, Russell, Malik, Hassan, Ward, Ryan, Young, Kerilee, Bappayya, Shaneel, Loveday, Benjamin, Samra, Jaswinder, Gall, Tamara, Mittal, Anubhav, Chan, Ting Ting, Lo, Vincent Wing‐ho, Liang, Hui, Wang, Cong, Huang, Wei, Jin, Tao, Wu, Yongzi, Xia, Qing, Georgio, Nikolaou, Koronakis, Nikolaos, Davidsen, Line, Hamed, Emad, Mohamed, Salem, Demetrashvili, Zaza, Tvaladze, Ana, Kachakhidze, Irakli, Zurabashvili, Tea, Ioannidis, Orestis, Kapiris, Stylianos, Mavrodimitraki, Eleni, Sotiropoulou, Maria, Machairas, Nikolaos, Schizas, Dimitrios, Syllaios, Athanasios, Vailas, Michail, Chlorakis, Georgios, Kalaitzakis, Evangelos, Tsafaridou, Maria, Mulita, Francesk, Verras, Georgios‐Ioannis, Gupta, Amit, Rajput, Deepak, Sharma, Oshin, Goud, Rajesh, Unnisa, Misbah, Bains, Lovenish, Singh, Nishu, Dhar, Jahnvi, Abdelmoeti, Mahmoud, Súilleabháin, Criostóir Ó, O'Connell, Robert, Calabro, Marcello, La Terra, Antonio, Muretore, Andrea, Contul, Riccardo Brachet, Diotallevi, Margherita, Mascaro, Annamaria, Millo, Paolo, Biondo, Santino Antonio, Mazzeo, Carmelo, Cucinotta, Eugenio, Fleres, Francesco, Marinak, AOUG, Brocco, Veronica, Ceresoli, Marco, Rennis, Maria, Centonze, Danilo, Distefano, Coatanza, Veroux, Massimiliano, Zerbo, Domenico, Bogoni, Selene, Biloslavo, Alan, Bianchi, Velentina, Candelli, Marcello, Franceschi, Francesco, Gasbarrini, Antonio, Nista, Enrico, Sganga, Gabriele, Tropeano, Giuseppe, Policlinico, Fondazione, Altieri, Caterina, Dinuzzi, Vincenza, Marconi, Matteo, Rivolta, Umberto, Dameno, Vitale Roberto, Papa, Mario V., Balla, Andrea, Lepiane, Pasquale, Saraceno, Federica, Aiolfi, Alberto, Bona, Davide, Sozzi, Andrea, Cianci, Pasquale, Varesano, Marco, Conversano, Ivana, Abete, Roberta, D'Avino, Raffaele, Marra, Ester, Marte, Gianpaolo, Tammaro, Pasquale, Gobatti, Davide, Marmaggi, Serena, Palmieri, Francesco, Sampietro, Roberto, Manca, Roberto, Pilla, Federica, Piras, Enrico, Pignata, Giusto, Canfora, Ilaria, Andreuccetti, Jacopo, D'Alessio, Rossella, Armellin, Claudia, Grossi, Ugo, Massani, Marco, Pontin, Alessandro, Stecca, Tommaso, Pilia, Tiaizna, Pisanu, Adolfo, Podda, Mauro, Giuffrida, Mario, Perrone, Gennaro, Guadagni, Simone, Morelli, Luca, Frontali, Alice, Basurto, Francesca, D'Ugo, Stefano, Manoochehri, Farshad, Spampinato, Marcello, Apadula, Laura, Preatoni, Paoletta, Sartarelli, Lodovico, Al‐Jaiuossi, Osama, Ernisova, Mairam, Sopuev, Andrey, Sua, Bruce, Farfus, Anthony, Teo, Keith, Smith, Brittany, Ratnayake, Bathiya, Buchanan, Jayvee, Clark, Elinor, Connor, Saxon, Hore, Todd, Attari, Salman, Kadir, Bushra, Memon, Sadik, Abbas, Zaigham, Quadeer, Muhammad Ali, Altaf, Abeer, Ameet, Pooja, Devi, Jalpa, Seerani, Nandlal, Afzal, Ameer, Akbar, Ali, Asghar, Mohammad Sohail, Sa, Tiago, Barreira, Ana Lucia, Carvalho, Numo, Cismasiu, Brigitta, Henriques, Susana, Luiz, Francisco Vara, Draghici, Andreea, Grigorean, Valentin, Porojan, Vlad, Stoian, Alexandru‐Rares, Teaca, Lucia, Arbutina, Dragana, Cuk, Vladica, Kovacevic, Bojan, Mandic, Luka, Bonney, Glenn, Gao, Yujia, Pang, Ning Qi, Bellil, Abdalla, Devar, John, Khan, Zafar, Khumalo, Vusi, Smith, Martin, Estevez‐Fernandez, Sergio, Mosquera, Beatriz Romero, Rodriguez, Sergio, Garcia‐Rayado, Guillermo, Piñerua‐Gonsalvez, Jean Felix, Ruiz Rebollo, M Lourdes, Olmos, Jose M., Tejedor‐Tejada, Javier, Diez‐Alonso, Manuel, Matias‐Garcia, Belen, Moreno, Fernando Mendoza, Vera‐Mansilla, Cristina, Roses, Helena Salvador, Gómez, Diego Vázquez, Oballe, Juan Rodriguez, Jayarajah, Umesh, Nandasena, Malith, Pathirana, Aloka, Galal‐Eldin, Sami, Hajibandeh, Shahab, Hamid, Hytham, Colak, Elif, Sydorchuk, Larysa, Knut, Ruslan, Voronyuk, Ksenia, Chooklin, Serge, Baryskyi, Vitalii, Sydorchuk, Ruslan, Mukherjee, Samrat, Patel, Maitreyi, Akhtar, Amina, Asarbakhsh, Miriam, Nolan, Frances, Schuijtvlot, Nicholaas, Prem, Sandhya, Thrikandiyur, Anuradha, Morris, Millicent, Mroczek, Thomas, Sgourakis, George, Sultana, Asma, Varley, Rebecca, Groot‐Wassink, Thomas, Labinoti, Roland, Packham, Brett, Seebah, Keving, Allen, Sophie, Mokhtassi, Shiva, Belgaumkar, Ajay, De'Ath, Henry, Cook, Amy, Delaney, Christopher, Johnson, Roisin, Azibaodinami, Becky Olali, Sartini, Ashley, Stanfield, Mea, Tomasi, Ivan, Kanakala, Venkat, Mbarushimana, Simon, McKeever, Mark, Batilli, Mamata, Bhatta, Gakul, Rai, Subash, Bond‐smith, Giles, Elserafy, Amr, Shams, Mohamed, Al Saoudi, Tareq, Bhardwaj, Neil, Hussain, Wajith, Lancellotti, Francesco, Montagnini, Greta, Cairns, George, Hollyman, Marianne, Rakin, Asef, Shahid, Mishal, Barbour, Fraser, Hawkyard, Jake, McTeer, Matthew, Pandanaboyana, Sanjay, Taylor, Ellie, Kuzman, Matta, Dyer, Sarah, Hopkins, James, Pournaras, Dimitri, Sudlow, Alexis, Kumar, SK, Aujayeb, Avinash, Leo, Alex, Senra, Fatima Lorenzana, Watfah, Josef, Barrie, Jenifer, Brown, Chris, Gomez, Dhanny, Aroori, Somaiah, Ciprani, Debora, Karmarkar, Rahi, Almomani, Eyas, Roberts, Keith, Fale, Madeleine, Gupta, Ajay, Marsden, Max, Seet, Chris, Soni, Lakshya, Hamdan, Mohammed, Sadera, Rohan, Sud, Vikas, Chinnah, Edith, Di Mauro, Davide, Manzelli, Antonio, Orabi, Amira, Presa, Roberto, Reece‐Smith, Alex, Wajed, Shahjehan, Fingret, Jacob, Shah, Nehal, Jatania, Jignesh, Krishna, Arun, Berry, David, Kitsikosta, Loukiani, Helliwell, Jack, Huntley, Benjamin, Pine, James, Yau, Jih‐Dar, Lee, Shiela, Mahawar, Kamal, Shetty, Neehar, Britton, Emily, Shaw, Alice, Laarhoven, Stijn, Gahunia, Sukhpreet, Ortega, Miguel Gargia, Lee, Adam, Ng, Cho Ee, El Kafsi, Jihene, Mason, John, Vithlani, Gauri, Benhmida, Rami, Gunell, James, Parmar, Chetan, Dorkeh, Da‐Costa, Elnagar, Mohamed, Lee, Jih Ian, Nessa, Ashrafun, Yeap, Zhu Hui, Hemadasa, Niroshini, Javed, Saria, Sami, Sharuk, Damaskos, Dimitrios, Healey, Andrew, Soupashi, Maria, Triantafyllou, Tania, Coats, Maria, Douglass, Benjamin, Hendry, Brid, Hussain, Yasmin, Javid, Zhara, Mantyla, Mia, Rajkumar, Khaman, Chin, Carven, Hajibandeh, Shahab, Kumar, Nagappan, Gerogiannis, Ioannis, Kapsampelis, Panagiotis, Gerge, Farid, Anderson, Gulsum, Dinh, Vu, Phillips, Anna, Yadav, Dhiraj, and Pandanaboyana, Sanjay
Abstract: Since there is no current international consensus on the optimal approach for pain management in acute pancreatitis (AP), analgesic practices may vary across different healthcare settings. This study explored global disparities in analgesic use, in particular opioids, during admission and at discharge in hospitalised AP patients. This was a post hoc analysis of the prospective PAINAP database, which included all admissions for AP between April and June 2022 with a 1‐month follow‐up. Demographic details, analgesic use, and clinical outcomes were recorded during admission and at discharge. Odds ratios (ORs) for opioid use during admission and at discharge were identified using multivariable regression analyses. Amongst the 1864 patients (52% males, median age 56 (interquartile range, 41–71)) across three different continents, simple analgesics were predominantly used as the primary analgesic (70%). Opioid use during admission was lowest in European centres (67%). Admission in Asian (OR, 2.53 (95% confidence interval (CI), 1.59–4.04), p< 0.001), and Australian (OR, 5.81 (95% CI, 3.19–10.56), p< 0.001) centres was associated with opioid administration during admission compared with European centres. Increased pain severity, longer pre‐admission pain duration, organ failure, and longer length of admission increased opioid use during admission. At discharge, Asian (OR, 2.01 (95% CI, 1.40–2.88), p< 0.001) and Australian (OR, 1.91 (95% CI, 1.28–2.85), p= 0.002) centres were associated with opioid prescription compared with European centres. Increased pain severity, longer pre‐admission pain duration, acute necrotic collections, and walled‐off necrosis also increased the likelihood of opioid prescription at discharge. There are substantial intercontinental differences in opioid use for AP pain. Accordingly, there is a need for international guidelines on pain management in AP.
Published: 2024
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3. Performance of high sulfonated poly(ether ether ketone) improved with microcrystalline cellulose and 2,3-dialdehyde cellulose for proton exchange membranes.

Author: Moussa, Mohamed Amine Ben, Ahmed, Zakarya, Charradi, Khaled, Fraj, Boutheina Ben, Boufi, Sami, Koschella, Andreas, Heinze, Thomas, Keshk, Sherif M. A. S., and Assaker, Ibtissem Ben
Published: 2024
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4. Thrombectomy Outcomes in Acute Basilar Artery Occlusions Due to Intracranial Atherosclerotic Disease.

Author: Mierzwa, Adam T., Al Kasab, Sami, Nelson, Ashley, Gutierrez, Santiago Ortega, Vivanco-Suarez, Juan, Farooqui, Mudassir, Jadhav, Ashutosh P., Desai, Shashvat, Toth, Gabor, Alrohimi, Anas, Nguyen, Thanh N., Klein, Piers, Abdalkader, Mohamad, Salahuddin, Hisham, Pandey, Aditya, Koduri, Sravanthi, Wilseck, Zachary, Vora, Nirav, Aladamat, Nameer, and Gharaibeh, Khaled
Published: 2024
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5. Erenler (Afyonkarahisar) Bölgesinde Yer Alan Killerin Kıvam Özelliklerinin Jeoteknik Davranışlarına Etkisi.

Author: İŞOĞLU, Sami Serkan, YILDIZ, Ahmet, and MUTLUTÜRK, Mahmut
Abstract: Copyright of Afyon Kocatepe University Journal of Science & Engineering / Afyon Kocatepe Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi is the property of Afyon Kocatepe University, Faculty of Science & Literature 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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6. Pain Interference Prior to and 1 Year After Surgery for Adult Traumatic Brachial Plexus Injury.

Author: Dy, Christopher J., Brogan, David M., Loeffler, Bryan J., Lee, Steve K., Chim, Harvey, Desai, Mihir J., Tuffaha, Sami H., and Liu, Yusha
Abstract: Pain after brachial plexus injury (BPI) can be severely debilitating and is poorly understood. We hypothesized that pain interference (PI) ("the extent to which pain hinders engagement in life") would be predicted by depression, anxiety, severity of pain symptoms, and poorer preoperative muscle function. Among patients in a prospective multicenter BPI cohort study, 37 completed Patient-Reported Outcomes Measurement Information System (PROMIS) PI questionnaires before and 1 year after surgery. At both times, participants completed anxiety and depression questionnaires and BPI-specific measures of pain symptoms, physical limitations, and emotional recovery. Surgeon-graded muscle testing, injury severity, age at the time of injury, body mass index, and time from injury to surgery were included. We performed a bivariate analysis of predictors for preoperative and 1-year PROMIS PI followed by multivariable regression modeling using stepwise selection and Bayesian Information Criterion to select covariates. Before surgery, the mean PROMIS PI score was 60.8 ± 11.0, with moderate correlations between PROMIS PI and depression, as well as between PROMIS PI and functional limitations. At 1 year after surgery, the mean PROMIS PI score was 59.7 ± 9.5. There was no difference in preoperative and 1-year PROMIS PI. There were strong correlations between PROMIS PI and pain symptoms, functional limitations, and emotional aspects of recovery at the 1-year follow-up that remained significant in multivariable regression. There were no notable associations between muscle testing and PI. Pain interference remained substantial and elevated in BPI patients 1 year after surgery. We noted strong associations between PI and pain symptoms, functional limitations, and emotional aspects of recovery. These findings demonstrate the persistence of pain as a feature throughout life after BPI and that its treatment should be considered a priority alongside efforts to improve extremity function. Prognosis IV. [ABSTRACT FROM AUTHOR]
Published: 2024
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7. Design and Control of Two Degrees of Freedom Robot for a Passive Rehabilitation.

Author: Hmaied, Hmida, Sami, Hafsi, and Faouzi, Bouani
Subjects: ELBOW joint, WRIST joint, DEGREES of freedom, QUADRATIC programming, ENERGY consumption
Abstract: This paper focuses on the development and position control of a robotic system specifically designed for passive rehabilitation. The system is a two-degree-of-freedom robot, dedicated to elbow and a wrist joints. The objective of this research is to create a robotic rehabilitation emulation test that allows therapists to implement their therapeutic programs smoothly and efficiently while minimizing any excessive movements or overshooting. The real-time experiments were conducted to compare the performances of four controllers: model predictive controller (MPC), proportional–integral (PI) controller, RST controller, and constrained MPC (CMPC). Sinusoidal and filtered trajectories were studied to determine the optimal controller for energy efficiency. The obtained results demonstrate that the embedded MPC outperforms the other two controllers. The constrained model predictive control design is employed to address the stringent constraints of the robot. Using a rapid quadratic programming solver based on the Hildreth method ensures compliance with the short real-time implementation sampling time. This approach achieves reduced computational costs while balancing control effort against closed-loop performance. [ABSTRACT FROM AUTHOR]
Published: 2024
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8. Optimizing Femoral Tunnel Placement in ACL Reconstruction: Effect of a 70-degree Arthroscope and Portal Position.

Author: Khan, Tanvir, Al-Ali, Sami, Alvand, Abtin, Jackson, William F., Hasan, Yusuf O., Beard, David J., Gill, Harinderjit S., and Price, Andrew J.
Published: 2024
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9. Dynamic load reference based DQ-axis synchronous frame control method of grid connected PV hybrid microgrid.

Author: Althobiti, Ahmad, Alhussainy, Abdullah Ali, Alghamdi, Sultan, Alghamdi, Sami S., Alruwaili, Mohammed, Mekhilef, Saad, and Rawa, Muhyaddin
Subjects: HYBRID power, TORQUE control, DYNAMIC loads, INDUCTION motors, RENEWABLE energy sources
Abstract: The hybrid AC-DC microgrid is a system that links AC and DC microgrids using a bidirectional AC-DC interface converter. The presence of dynamic loads is a major obstacle to the implementation of the microgrid concept, and those 50 % include asynchronous motors. This paper presents a control system for a hybrid microgrid that powers an electrical motor using the field-oriented control (FOC) method. This study investigates the significance of third-harmonic injected PWM (THIPWM) in reducing the necessary voltage across the DC bus while still achieving the required AC voltage at motor terminals. MATLAB/Simulink simulation tool and OPAL-RT for real-time simulations were used for validation of the proposed control. The outcomes show the tracking of the reference currents, achieving accurate torque control, managing various operating modes like grid-connected having SPWM and THIPWM, or operation with PV and battery sources. The research also highlights lower settling time values as well as lower total harmonic distortion (THD) compared to SPWM in different load conditions using THIPWM. [ABSTRACT FROM AUTHOR]
Published: 2024
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10. Adaptive solutions for metaverse urban mobility through decision-making and blockchain.

Author: Zhou, Shuchen, Yu, Lei, Wang, Yinling, Dhahbi, Sami, Berrima, Mouhebeddine, and Anjum, Mohd
Subjects: URBAN transportation, SUPPLY chain management, SHARED virtual environments, TOLL collection, FUZZY sets
Abstract: In this paper, we utilise blockchain technology (BT) and circular q -rung orthopair fuzzy sets (C q -ROFS) to address practical issues related to urban transportation and supply chain management (SCM). Recognising the weaknesses of earlier approaches such as circular intuitionistic fuzzy sets (C-IFS), we work C q -ROFS to better accommodate imprecise input. Novel approaches that use into metaverse settings are being investigated as a means of addressing the complex problems associated with urban mobility. This study use the SWARA-AROMAN approach to evaluate potential blockchain integration possibilities for metaverse urban mobility. Sensitivity analysis and comprehensive evaluation yield powerful insights into the robustness and adaptability of solutions. With these findings at their disposal, policymakers will be more equipped to take on unpredictability and take advantage of opportunities for sustainable urban mobility. To enhance urban transportation solutions in the dynamic metaverse, future strategies should concentrate on improving processes and exploring novel technology. Ultimately, this research emphasises how critical it is to foster interdisciplinary collaboration and ongoing innovation if we hope to influence the patterns of urban mobility in the metaverse. [ABSTRACT FROM AUTHOR]
Published: 2024
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11. Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach.

Author: Abraham, Ajith, Gupta, Bineet Kumar, Verma, Satya Bhushan, Maurya, Archana Sachindeo, Husain, Mohammad, Ali, Arshad, Alshmrany, Sami, and Gupta, Sanjay
Abstract: Machine Translation (MT) is a crucial application of Natural Language Processing (NLP). This MT technique automatic and based on computers. One of the most modern techniques adopted in MT is Machine Learning (ML). Over the past few years, ML has grown in popularity during MT process among researchers. Ambiguity is a major challenge in MT. Word Sense Disambiguation (WSD) is a common technique for solving the ambiguity problem. ML approaches are commonly used for the WSD techniques and are used for training and testing purposes. The outcome prediction of the test data gives encouraging results. Text classification is one of the most significant techniques for resolving the WSD. In this paper, we have analyzed some common supervised ML text classification algorithms and also proposed a “hybrid model” called “AmbiF.” We have compared the results of all analyzed algorithms with the proposed model “AmbiF. The analyzed supervised algorithms are Decision Tree (DT), Bayesian network, Support Vector Machines (SVMs), K-Nearest Neighbor (KNN), Random Forest (RF), and Logistic Regression (LR). The range of accuracy for all the algorithms that were examined is between sixty-eight and eighty-four percent. To improve the accuracy of the AmbiF model, we have merged the DT, SVM, and Naïve Bayes (NB)-classifier approach. For testing the model, we have used the ten-fold cross-validation test method. The AmbiF model’s accuracy has been reported eightyfive percent. Comparing the AmbiF model to all other analyzed supervised ML classification algorithms, it has also demonstrated great precision, recall, and F-score. Waikato Environment for Knowledge Analysis (WEKA)’s ML-tool is used to analyze the algorithms and the AmbiF model. [ABSTRACT FROM AUTHOR]
Published: 2024
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12. OPTIMIZATION OF PARAMETERS OF RADIOFREQUENCY DRYING OF PLANTAIN SLICES (NENDRAN VARIETY).

Author: Shaik, Sami Taj, Perumal, Rajkumar, and Sathar, Parveen
Abstract: This study compared radiofrequency (RF) drying of Nendran plantain slices with conventional solar and tray drying methods, focusing on optimizing the RF process using the Response Surface Methodology. The effects of distance between the electrodes (185, 200 &, 215mm), conveyor speed (3, 4 & 5m/h), and slice thickness (2, 3 & 4mm) on drying time, moisture content, and color retention were investigated. Optimal RF drying conditions were found to be distance between the electrode of 185 mm, conveyor speed of 5 m/h, and slice thickness of 2 mm. Under these conditions, RF drying demonstrated better performance than both optimized solar and tray drying methods. It achieved a drying time of 70 minutes, reducing the moisture content from 172.17% (d.b.) to a final value of 6.82% (d.b.). Additionally, the color (L*) value changed from an initial value of 87.54 to a final value of 86.27. The quadratic model developed showed high significance (p<0.01) and good fit (R²>0.98) for predicting drying outcomes. These results showed its potential to significantly improve drying efficiency and product quality in plantain processing. This study demonstrates that RF drying offers a promising solution for high-quality drying of Nendran plantain slices, with potential applications in preserving other tropical fruits. [ABSTRACT FROM AUTHOR]
Published: 2024

13. Diagnosis and management of idiopathic condylar Resorption: A review of literature.

Author: Alali, Yasser S., Al Habeeb, Khaled M., Al Malhook, Khaled A., and Alshehri, Sami
Abstract: Idiopathic condylar resorption (ICR) can be described as a dysfunctional remodeling of the temporomandibular joint (TMJ). It is clinically characterized by morphological changes in TMJ including reduced ramus height, accelerated mandibular retrusion and reduced growth in juveniles. With a strong predilection towards females (90 %) within an age group of 10 to 40 years, diagnosis and management of ICR is a critical clinical challenge. The aim of this study is to present a comprehensive review of diagnosis and management strategies for ICR. Literature search based on keywords relating to ICR was conducted on PubMed (Medline) database. Studies fulfilling the inclusion criteria (reports based on clinical diagnosis and management of ICR) were selected for comprehensive review. 253 articles were identified through literature search. After abstract screening and full-text review, 54 studies were selected for qualitative synthesis. Diagnosis of ICR is established by combination of clinical and radiographic findings, patient history, and exclusion of all known local/systemic factors contributing to condylar resorption. Management of ICR depends on condylar activity and surgeon's ability to preserve the articular disc and mandibular condyle, and could either be surgical or non-surgical. Surgical treatment can be either by orthognathic surgery alone or through a combination of orthognathic and TMJ surgeries. Based on the present review, it may be concluded that diagnosis and management of ICR requires adequate clinical understanding of the condition. Identifying the stage of ICR is important in deciding optimum treatment plan. While early-stage ICR could be managed non-surgically by orthodontic and splint therapies, advanced stage disease require simultaneous TMJ Surgery with orthognathic correction for skeletal stability. Future research should focus on elucidating underlying mechanisms of ICR, refining diagnostic criteria, and optimizing treatment protocols to enhance patient outcomes. [ABSTRACT FROM AUTHOR]
Published: 2024
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14. Comparison of Web-Based and On-Site Lung Simulators for Education in Mechanical Ventilation.

Author: Safadi, Sami, Acho, Megan, Maximous, Stephanie I., Keller, Michael B., Kriner, Eric, Woods, Christian J., Sun, Junfeng, Staitieh, Bashar S., Lee, Burton W., and Seam, Nitin
Subjects: CONTINUING education units, STATISTICAL models, SCHOOL environment, MEDICAL education, MEDICAL fellowships, T-test (Statistics), HEALTH occupations students, EDUCATIONAL outcomes, CLINICAL trials, RATING of students, TEACHING methods, DESCRIPTIVE statistics, SIMULATION methods in education, HOSPITAL medical staff, LONGITUDINAL method, PRE-tests & post-tests, EXPERIENCE, STUDENTS, ARTIFICIAL respiration, ONLINE education, CLINICAL competence, RESEARCH, DATA analysis software, CONFIDENCE intervals, CRITICAL care medicine, SENSITIVITY & specificity (Statistics)
Abstract: BACKGROUND: Training in mechanical ventilation is a key goal in critical care fellowship education. Web-based simulators offer a cost-effective and readily available alternative to traditional on-site simulators. However, it is unclear how effective they are as teaching tools. In this study, we evaluated the test scores of fellows who underwent mechanical ventilation training by using a web-based simulator compared with fellows who used an on-site simulator during a mechanical ventilation course. METHODS: This was a nonrandomized controlled trial conducted as part of a mechanical ventilation course that involved 70 first-year critical care fellows. The course was identical except for the simulation technology used. One group of instructors used a traditional on-site simulator, the ASL 5000 Lung Solution (n = 39). The second group was instructed in using a web-based simulator, VentSim (n = 31). Each fellow completed a pre-course test and a post-course test by using a validated, case-based ventilator waveform examination that consisted of 5 questions with a total possible score of 100. The primary outcome was a comparison of the mean scores on the posttest between the 2 groups. The study was designed as a non-inferiority trial with a predetermined margin of 10 points. RESULTS: There was no significant difference in the mean ± SD pretest scores between the web-based and the on-site groups (21.1 ± 12.6 and 26.9 ± 13.6 respectively; P = .11). The mean ± SD posttest scores were 45.6 ± 25.0 for the web-based simulator and 43.4 ± 16.5 for on-site simulator (mean difference 2.2; one-sided 95% CI --7.0 to ∞; Pnon-inferiority = .02 [non-inferiority confirmed]). Changes in mean ± SD scores (posttest -- pretest) were 25.9 ± 20.9 for the web-based simulator and 16.5 ± 15.9 for the on-site simulator (mean difference 9.4, one-sided 95% CI 0.9 to ∞; Pnon-inferiority < .001 [non-inferiority confirmed]). CONCLUSIONS: In the education of first-year critical care fellows on mechanical ventilation waveform analysis, a web-based mechanical ventilation simulator was non-inferior to a traditional on-site mechanical ventilation simulator. [ABSTRACT FROM AUTHOR]
Published: 2024
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15. Availability of lasers and hands-on training in cosmetic dermatology in residency.

Author: Kang, Bianca Y., Stratman, Erik J., Hu, Jenny C., Elsanadi, Rachel, Greywal, Tanya, Kelly, Kristen M., Ortiz, Arisa, Saikaly, Sami K., Suozzi, Kathleen C., Bolotin, Diana, Minkis, Kira, and Alam, Murad
Published: 2024
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16. Gene-Specific Effects on Brain Volume and Cognition of TMEM106B in Frontotemporal Lobar Degeneration.

Author: Vandebergh, Marijne, Ramos, Eliana Marisa, Corriveau-Lecavalier, Nick, Ramanan, Vijay K., Kornak, John, Mester, Carly, Kolander, Tyler, Brushaber, Danielle E., Staffaroni, Adam M., Geschwind, Daniel H., Wolf, Amy A., Kantarci, Kejal, Gendron, Tania, Petrucelli, Leonard, den Broeck, Marleen Van, Wynants, Sarah, Baker, Matthew, Borrego-Écija, Sergi, Appleby, Brian, and Barmada, Sami
Published: 2024
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17. Thermoplasticized Bread Waste and Poly(butylene adipate-co-terephthalate) Blends: A Sustainable Alternative to Starch in Eco-Friendly Packaging.

Author: Bouzidi, Samar, Lévèque, Jean-Marc, Magnin, Albert, Molina-Boisseau, Sonia, Putaux, Jean-Luc, and Boufi, Sami
Published: 2024
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18. Impact of Race on Outcomes in the Endovascular and Microsurgical Treatment in Patients With Intracranial Aneurysms.

Author: Hidetoshi Matsukawa, Kazutaka Uchida, Sowlat, Mohammad-Mahdi, Elawady, Sameh Samir, Cunningham, Conor, Alawieh, Ali, Kasab, Sami Al, Jabbour, Pascal, Mascitelli, Justin, Levitt, Michael R., Cuellar, Hugo, Brinjikji, Waleed, Samaniego, Edgar, Burkhardt, Jan-Karl, Kan, Peter, Fox, W. Christopher, Moss, Mark, Ezzeldin, Mohamad, Grandhi, Ramesh, and Altschul, David J.
Published: 2024
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19. Development of an adjustable patient-specific rigid guide to improve the accuracy of external ventricular catheter placement.

Author: Pathak, Sami M., Licata, Joseph P., Graves, Erin K. M., Gerstenhaber, Jonathan A., and Erkmen, Kadir
Published: 2024
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20. Supinator to Anterior Interosseous Nerve Transfer to Restore Digital Flexion in Spinal Cord and Peripheral Nerve Injury.

Author: Orlando, Nicholas A., Long Azad, Chao, Qiu, Cecil S., Focas, Morgan, Lubelski, Daniel, Belzberg, Allan, and Tuffaha, Sami H.
Abstract: Restoration of pinch and grasp is a chief concern of patients with cervical spinal cord injury or peripheral nerve injury involving the anterior interosseous nerve (AIN). We hypothesize that supinator nerve-to-AIN (Sup-AIN) nerve transfer is a viable option for AIN neurotization. We performed a retrospective review of patients who received Sup-AIN. Reported outcomes included Medical Research Council strength of the flexor digitorum profundus and flexor pollicis longus and passive range of digit motion. Patients with <12 months of follow-up were excluded. Eleven patients underwent Sup-AIN, eight with peripheral nerve injury, and three with spinal cord injury. Three patients were excluded because of insufficient follow-up. Average follow-up was 17 months (range: 12–25 months). Six patients had M4 recovery (75%), one patient had M3 recovery (12.5%), and one did not recover function because of severe stiffness (12.5%). We observed no complications or donor site morbidity in our patients. The Sup-AIN nerve transfer is an effective option to restore digital flexion in patients with peripheral nerve injury or spinal cord injury involving the AIN motor distribution. In comparison to previously described extensor carpi radialis brevis to AIN and brachialis to AIN nerve transfers, Sup-AIN offers the benefits of a more expendable donor nerve and shorter regenerative distance, respectively. The one failed Sup-AIN in our series highlights the importance of patient selection. Therapeutic V. [ABSTRACT FROM AUTHOR]
Published: 2024
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21. Revealing the Chemical and Structural Complexity of Electrochemical Ion Exchange in Layered Oxide Materials.

Author: Mu, Linqin, Hou, Dong, Foley, Emily E., Dai, Minyi, Zhang, Jin, Jiang, Zhisen, Rahman, Muhammad Mominur, Fu, Yanbao, Ma, Lu, Hu, Enyuan, Sainio, Sami, Nordlund, Dennis, Liu, Jue, Hu, Jia-Mian, Liu, Yijin, Clément, Raphaële J., and Lin, Feng
Published: 2024
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22. Structural Isomerism in Bimetallic Ag20Cu12 Nanoclusters.

Author: Deng, Guocheng, Malola, Sami, Ki, Taeyoung, Liu, Xiaolin, Yoo, Seungwoo, Lee, Kangjae, Bootharaju, Megalamane S., Häkkinen, Hannu, and Hyeon, Taeghwan
Published: 2024
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23. Automatisiertes Valet-Parking - Simulationsbasierte Fahrschlauchabsicherung eines Trajektorienplaners.

Author: Sun, Bo, Berghöfer, Moritz, Bilgic Istoc, Sami, and Kemper, Henning
Published: 2024
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24. A new hybrid special function class and numerical technique for multi-order fractional differential equations.

Author: Ghanim, F., Khan, Fareeha Sami, Al-Janaby, Hiba F., and Ali, Ali Hasan
Subjects: FRACTIONAL calculus, NUMERICAL functions, FRACTIONAL differential equations, INTEGRAL calculus, HYPERGEOMETRIC functions
Abstract: This study aims to investigate the properties of fractional calculus theory (FCT) in the complex domain. We focus on the relationship between the theories of special functions (SFT) and FCT, which have seen recent advancements and have led to various successful applications in fields such as engineering, mathematics, physics, biology, and other allied disciplines. Our main contribution is the development of a special function, specifically the confluent hypergeometric function (CHF) on the complex domain. By deriving various implementations of fractional order derivatives and integral operators using this function, we present a new class of special functions combining certain cases of Mittag-Leffler and confluent hypergeometric functions. Moreover, a new numerical technique for solving linear and nonlinear multi-order fractional differential equations has been developed using the proposed class of functions and the point collocation method. Graphical results are shown to demonstrate the efficacy of this proposed technique and its applicability. [ABSTRACT FROM AUTHOR]
Published: 2024
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25. The utility of axial imaging among selected patients in the early postoperative period after pancreatectomy.

Author: Bloomfield, Grace C., Shoucair, Sami, Nigam, Aradhya, Park, Byoung Uk, Fishbein, Thomas M., Radkani, Pejman, and Winslow, Emily R.
Abstract: Postoperative computed tomography imaging has been shown to play an important role in avoiding failure-to-rescue. We sought to examine the impact of the timing of such imaging studies on outcomes after pancreatectomy. Patients who underwent pancreatic resection at our institution from 2017 to 2022 were reviewed retrospectively to identify those undergoing computed tomography for any indication before discharge. Patients were subdivided by the postoperative day that the first computed tomography scan was obtained: immediate (postoperative day <3), early (postoperative day 3–7), and delayed (postoperative day >7). Of 370 patients, 110 (30%) had a computed tomography during the initial surgical stay. The 3 timing groups were similar in age, comorbidities, pathology, operative time, and number of scans. When comparing the early with the delayed group, we found that antibiotic usage, percutaneous drainage, and overall invasive interventions during surgical stay were all similar. However, those patients who were scanned in the early period had significantly shorter length of stay (17.05 vs 22.82, P =.0008) and fewer composite days hospitalized (20.1 vs 24.9, P =.01) relative to the delayed group. Importantly, early computed tomography imaging was found to be the only independent predictor of a postoperative length of stay ≤15 days on multivariate analysis. Surgical stay mortality rates were significantly lower in the early compared with delayed group (0% vs 11%, P =.02). A change in treatment was observed in 59% after computed tomography, with 15% undergoing invasive interventions, 27% treated medically, and 16% with expectant management. In our cohort, patients imaged early after pancreatectomy experienced shorter hospital stays and lower inpatient mortality relative to those scanned after the first postoperative week. [ABSTRACT FROM AUTHOR]
Published: 2024
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26. Harnessing Multimodal Data and Deep Learning for Comprehensive Gait Analysis in Pediatric Cerebral Palsy

Author: Yang, Jing, Li, Liangyu, Por, Lip Yee, Bourouis, Sami, Dhahbi, Sami, and Ayub Khan, Abdullah
Abstract: Cerebral palsy (CP) is a leading cause of motor dysfunction in children, significantly impacting gait and mobility. Accurate and early diagnosis of gait abnormalities in pediatric CP patients is crucial for effective intervention and management. However, making an early-stage CP diagnosis based only on a single vision modality such as an MRI has many difficulties. Because of the baby’s obstinate movements, the possibility of early recovery, the lack of a single vision modality, and the noisy or absent brain magnetic resonance imaging (MRI) slices, the task is getting harder and harder. This study employed a robust framework that leverages data from multiple sensor modalities, including wearable inertial measurement units (IMUs), pressure-sensitive mats, and motion capture systems integrated with MRI to generate multimodal data. This multimodal data was then processed using convolutional neural networks (CNNs) and long short-term memory (LSTM) networks to capture both spatial and temporal dynamics of gait patterns. In the experimentation, we achieved remarkable results with an accuracy of 95.33%, an AUC of 96.2%, an F1 score of 95.28%, and a misclassification rate of 0.0467. Also, the comparative analysis with state-of-the-art demonstrates that the proposed approach significantly outperforms traditional methods in identifying subtle gait abnormalities, providing a more detailed and accurate assessment of gait deviations in pediatric cerebral palsy patients.
Published: 2024
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27. 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 abdulrahman, Alkaseek, Akram, Yagoub, Ghozlan, Ben Amer, Anass, Salem, Marwa, Almugaddami, Ayman, Burgan, Dania, Abdelkabir, Mohammed, Alshareef, Khayriyah, Ben jouira, Rayet al islam, Meelad, Ayman, Bouhuwaish, Ahmad, Dwaga, Sumayya Essayah, Khalifa, Houda, Almiqlash, Bushray, Suliaman, Taha, Alawami, Mohammed, Elhajdawe, Fras, Aboazamazem, Hajir, Ellojli, Ibrahim, Msherghi, Ahmed, Saleh, Ismail Ali, Alayan, Mohammed, Roslani, April Camilla, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Nashidengo, Pueya Rashid, Noltes, Milou, Steinkamp, Pieter, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, Kieser, David, Mohyieldin, Omar, Varghese, Chris, McIntosh, Nick, Haran, Cheyaanthan, Rennie, Sarah, King, Jasmin, Ha, Jeong, McGuinness, Matthew James, Adesanya, Opeoluwa, Olaogun, Julius, Akinmade, Akinola, Bwala, Kefas, Agbonrofo, Peter, Afolabi, Akinwale, Usang, Usang, Ekenze, Sebastian, Olori, Samson, Lawal, Taiwo Akeem, Seyi-Olajide, Justina, 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, Borda-Luque, Giuliano, Niquen-Jimenez, Milagros, Arias, Claudia, Zegarra, Sergio, Betalleluz Pallardel, Jenner, Ugarte Oscco, Regina Amparo, Mendiola, Gian, Carpio Colmenares, Yahaira Tatiana, Shiraishi Zapata, Carlos, Ortiz, Maria Rosa, Sacdalan, Marie Dione, Major, Piotr, Castro Borges, Filipe, Viveiros, Octavio, Serralheiro, Pedro, Santos-Costa, Paulo, Mendes, Filipa, Rocha Melo, Miguel, Cardoso, Paulo, Soares, Ana, Azevedo, José, Gonçalves Pereira, Rita, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida-Reis, Rui, Cunha, Miguel F., Oliveira, João, Nogueiro, Jorge, Sampaio-Alves, Mafalda, Cidade Costa, Luciana, Baía, Catarina, Deus, Ana Cláudia, Branquinho, Rita, Marçal, André, Tojal, André, Makkai-Popa, Silviu Tiberiu, Mironescu, Aurel, Grama, Florin, Toma, Elena Adelina, Negoi, Ionut, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Bonci, Eduard-Alexandru, 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, 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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 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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 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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, 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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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Rayzah, Musaed, Abd ElGhany, Reda, Al Ameer, Ahmed, Bawa, Dauda, Elzain, Mohammed, Wakill, Fadi, Fahiem-ul-Hassan, Mir, Al Duhileb, Mohammed, Alazzeh, Ghaleb, Alghazal, Thabet, Alkhatib, Abdulrahman, Almatar, Bikheet, Alnaimi, Manal, Alsuwaimel, Munir, Balhareth, Ameera, Abutaleb, Malak, Ageeli, Mohammed, Alhazmi, Barrag, Alkhayrat, Saud, Miftah, Mohammed, Otayfah, Sameer, Sari, AbdulRahman, Alsadiq, Mohammed, Fouad, Mohammed, Iskander, Othman, Al Athath, Samer, Alharthi, Mohammed, Bayazid, Muhannad, Al-Radi, Osman, Altaf, Abdulmalik, Arab, Fatima, Bangash, Mohammed, Basendowah, Mohammed, Farsi, Deema, Farsi, Ali, Habeebullah, Alaa, Malibary, Ziad, Nassif, Mohammed, Nawawi, Anfal, Sabbagh, Abdulrahman J, Sait, Salma, Saleem, Abdulaziz, Trabulsi, Nora, Alghamdi, Abdulaziz, Altalhi, Bassam, Alzaidi, Turki M, Mughal, Samiullah, Samadony, Mustafa, Althobaiti, Awwadh, Hakami, Hadi, Al Jamahir, Mohammed, Al Wadei, Hajr, Al-Qannass, Ali, Al-Qurashi, Qusay, Albakry, Ibrahim, Alkarak, Samer, Alkhanbashi, Omar, Alqannas, Mashhour, Alsakkaf, Mazen, Alzamanan, Mohammed, Mahnashi, Taher, Mohammed, Rawabi, Taha, Youssef, AlAamer, Ohood, Alaglan, Abeer, Alriyees, Lolwah, Alromaihi, Meaad, Alsafi, Maryam, Alsahabi, Jawaher, Alselaim, Nahar, Bin Saad, Khalid, Binjaloud, Ahmed, Dagestani, Hattan, Abaalkhail, Muath, Abukhater, Muhammad, Al Saied, Ghiath, Albarrak, Majed, Alghamdi, Ahmad, Alhogbani, Mofarej, Ali, Aisha Mansoor, Almushawah, Fatema, Alqahtani, Loai, Alqasem, Saad, AlRayih, Mohammed, Alsaleh, Khaled, Alsamari, Alanoud, Alshammari, Abdulaziz, AlSolami, Zeyad, AlSubaie, Fahd, Alsuliman, Yazeed, Alsuwaydani, Saleh, Alzahrani, Saud, Alanoud, Abu-Zaid, Ahmed, Aburahmah, Mohammad, Al Humaid, Lama, Al-Qattan, Mohammad, Alabbasi, Amira, Alahmari, Ahmed, Alaqel, Sara, Alassiri, Ali, Aldaghiri, Khalid, Alhaidari, Ammar, Alhazmi, Alaa, Alhazzaa, Norah, Alhefdhi, Amal, Alhelal, Boshra, Alhuthayl, Meshari, Alkassim, Abdullah, Alkhayal, Wafa, Almalaq, Ali, Almalik, Osama, AlMarshad, 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Alobaysi, Saad, Modahi, Nawaf, AI Nwijy, Khaled, AI Zahrani, Turki, Alahmad, Feras, Alalawi, Dr Yousef, Awaji, Ahmed, Emara, Sherif, Musawa, Nizar, Zakaria, Mahmoud, Althobaiti, Waleed, Paunovic, Ivan, Alajaji, Nouf, Ivanović, Nenad, Kmezić, Stefan, Knezevic, Djordje, Krivokapic, Zoran, Latinčić, Stojan, Markovic, Velimir, Miladinov, Marko, Ninic, Aleksandar, Gregoric, Pavle, Loncar, Zlatibor, Bogdanovic, Ivan, Milisavljević, Filip, Paunovic, Aleksandra, Trivic, Aleksandar, Bumbasirevic, Uros, Lazic, Aleksandar, Djurisic, Igor, Jevric, Marko, Kocic, Milan, Kozomara, Zoran, Markovic, Ivan, Dejanovic, Tatjana, Marinković, Srdjan, Milanovic, Miljan, Lazovic, Mikan, Cuk, Vladica, Milutinović, Vladan, Djan, Vladimir, Trajkovic, Velicko, Lukic, Dejan, Radovanovic, Zoran, Zahorjanski, Sanja, Hing, Jun Xian, Teo, Nan Zun, Arbab, Hana, Dimatatac, Doris Mae, Chew, Min Hoe, Tan, Kiat Tee Benita, Ang, Wei-Wen, Chong, Yew-Lam, Tan, Ming Ngan Aloysius, Wong, Kar Yong, Gális, Branislav, Avsenak, 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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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28. Pulmonary arterial hypertension in systemic sclerosis: a national inpatient analysis.

Author: Sami, H., Sami, F., Razok, A., Dasgupta, M., and Gajjar, R.
Subjects: SYSTEMIC scleroderma, HEART failure, PULMONARY arterial hypertension, EPIDEMIOLOGY, CARDIAC arrest, DISEASE prevalence, PULMONARY embolism, VENTRICULAR fibrillation, HOSPITAL patients
Abstract: Background: Pulmonary arterial hypertension (PAH) is a progressive, and eventually fatal complication of Systemic Sclerosis (SSc) that affects the prognosis, quality of life, and mortality rate. Non-specific manifestations of PAH can result in delayed diagnosis and therefore in poorer outcomes. Objectives: We aim to study the prevalence and epidemiology of pulmonary arterial hypertension in SSc, and the impact of PAH on SSc hospitalizations in the United States population. Methods: We utilized the National Inpatient Sample (NIS) from 2016-2019 to obtain adult hospitalizations with the primary/secondary diagnosis of SSc and coexistent PAH (SSc-PAH). Epidemiological variables, mortality rates, and secondary outcomes were studied including pulmonary embolism, atrial flutter, atrial and ventricular fibrillation, pneumonia, sepsis, cardiac arrest and cardiac & renal failure, and ventilator requirement. Healthcare burden was estimated from total hospital charges (THC) and length of stay (LOS). Statistical analysis was performed on STATA 16.1, using linear and logistic regression analyses. Results: Out of 126,685 adult systemic sclerosis hospitalizations, 16.89% had PAH (SSc-PAH). The SSc-PAH group had significantly more females (85.4 % vs. 83.8%) and higher mean age (64.85±13.29 vs. 62.56±14.51). More African Americans were in this group than in the control group (19.5% vs. 14.6, p-value<0.001) while Whites (61.3% vs. 65.6%, p<0.001) and Asians (18.0 % vs. 2.8%, p<0.001) were less common. Charlson comorbidity index was higher for the SSc-PAH population (3.42 vs. 2.94, p-value<0.001). SSc-PAH group had a higher adjusted odds ratio (aOR) for mortality (aOR: 1.39, p<0.001), increased LOS (6.64 vs. 6.0 days, p<0.001) increased THC ($83,813 vs. $71,016, p <0.001). For the SSc-PAH group, there were also significantly higher odds of cardiac failure (aOR 3.13), ventilator requirement (aOR 2.15), cardiac arrest (aOR 1.39), kidney failure (aOR 1.63), pulmonary embolism (aOR 1.84), atrial flutter (aOR 1.86) atrial fibrillation (aOR1.56) and pneumonia (aOR 1.22). No significant difference in ventricular fibrillation, sepsis, or respiratory failure was noted. Conclusion: Pulmonary arterial hypertension in SSc is associated with worse outcomes in terms of mortality and morbidity, and higher healthcare burden compared to SSc without PAH. Also, PAH disproportionately affects White, African American & Asian populations. There remains a pressing need to continue efforts for early diagnosis and management of PAH in SSc patients. [ABSTRACT FROM AUTHOR]
Published: 2024
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29. Identification and dynamics of novel scaffolds against Enterococcus faeciumserine hydroxymethyltransferase enzyme: a potential target for antibiotics development

Author: Alhassan, Hassan H., Alruwaili, Yasir S., Alzarea, Sami I., Alruwaili, Muharib, Alsaidan, Omar Awad, Alzarea, Abdulaziz Ibrahim, Manni, Emad, and Tahir ul Qamar, Muhammad
Abstract: AbstractSerine hydroxymethyltransferase enzyme is a significant player in purine, thymidylate, and L-serine biosynthesis and has been tagged as a potential target for cancer, viruses, and parasites. However, this enzyme as an anti-bacterial druggable target has not been explored much. Herein, in this work, different computational chemistry and biophysics techniques were applied to identify potential computational predicted inhibitory molecules against Enterococcus faeciumserine hydroxymethyltransferase enzyme. By structure based virtual screening process of ASINEX antibacterial library against the enzyme two main compounds: Top-1_BDC_21204033 and Top-2_BDC_20700155 were reported as best binding molecules. The Top-1_BDC_21204033 and Top-2_BDC_20700155 binding energy value is −9.3 and −8.9 kcal/mol, respectively. The control molecule binding energy score is −6.55 kcal/mol. The mean RMSD of Top-1-BDC_21204033, Top-2-BDC_20700155 and control is 3.7 Å (maximum 5.03 Å), 1.7 Å (maximum 3.05 Å), and 3.84 Å (maximum of 6.7 Å), respectively. During the simulation time, the intermolecular docked conformation and interactions were seen stable despite of few small jumps by the compounds/control, responsible for high RMSD in some frames. The MM/GBSA and MM/PBSA binding free energy of lead Top-2-BDC_20700155 complex is −79.52 and −82.63 kcal/mol, respectively. This complex was seen as the most stable compared to the control. Furthermore, the lead molecules and control showed good druglikeness and pharmacokinetics profile. The lead molecules were non-toxic and non-mutagenic. In short, the compounds are promising in terms of binding to the serine hydroxymethyltransferase enzyme and need to be subjected to experimental studies.Communicated by Ramaswamy H. Sarma
Published: 2024
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30. The Franka Emika Robot: A Standard Platform in Robotics Research [Survey]

Author: Haddadin, Sami
Abstract: Over the last decade, industrial robots have evolved from well-established position-controlled systems to collaborative and soft robots. In 2017 we introduced the tactile lightweight robot system Franka Emika Robot, characterized by advanced safety control, force sensing, joint torque and force control, hand-guiding performance, and the novel tactile programming paradigm DESK. In the meantime, the system has become a well-adopted reference platform for robotics research in AI and machine learning, manipulation, control, humanrobot interaction, and motion planning. It features multiple functional and widely used interfaces, including 1 kHz realtime joint torque control access or precise kinematic and dynamic models. Furthermore, it became a crystallization point of a research ecosystem since the system’s affordability further lowered the entrance barrier to high-performance joint torquecontrolled robots. In this article, a quantitative analysis and discussion of the use of the system in worldwide research labs over the last five years, its impact on the creation of a compatible software ecosystem, and examples of milestone experiments made possible with the robot are given. The robotics community benefits from understanding the comprehensive analysis of the Franka Emika robot (Panda, FR-3, FP-3) as it provides a clear view on current capabilities and usage, sets a benchmark for future developments, and offers a rich source of inspiration and learning for ongoing and future projects in robotics.
Published: 2024
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31. Digital Robot Judge: Building a Task-Centric Performance Database of Real-World Manipulation With Electronic Task Boards

Author: So, Peter, Sarabakha, Andriy, Wu, Fan, Culha, Utku, Abu-Dakka, Fares J., and Haddadin, Sami
Abstract: Robotics aims to develop manipulation skills approaching human performance. However, skill complexity is often over- or underestimated based on individual experience, and the real-world performance gap is difficult or expensive to measure through in-person competitions. To bridge this gap, we propose a compact, internet-connected, electronic task board to measure manipulation performance remotely; we call it the digital robot judge or “DR.J.” By detecting key events on the board through performance circuitry, DR.J provides an alternative to transporting equipment to in-person competitions and serves as a portable test and data generation system that captures and grades performances making comparisons less expensive. Data collected are automatically published on a web dashboard that provides a living performance benchmark that can visualize improvements in real-world manipulation skills of robot platforms over time across the globe. In this paper, we share the results of a proof-of-concept electronic task board with industry-inspired tasks used in an international competition in 2021 and 2022 to benchmark localization, insertion, and disassembly tasks. We present data from 10 DR.J task boards, a method to derive Relative Task Complexity (RTC) from timing data, and compare robot solutions with a human performer. In the best case, robots performed 9× faster than humans in specialized tasks but achieved only 16% of human speed across the full set of tasks. Finally, we present the modular design, instructions, and software to replicate the electronic task board or to adapt it to new use cases to promote task-centric benchmarking.
Published: 2024
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32. Data-driven cluster analysis identifies distinct types of metabolic dysfunction-associated steatotic liver disease

Author: Raverdy, Violeta, Tavaglione, Federica, Chatelain, Estelle, Lassailly, Guillaume, De Vincentis, Antonio, Vespasiani-Gentilucci, Umberto, Qadri, Sami F., Caiazzo, Robert, Verkindt, Helene, Saponaro, Chiara, Kerr-Conte, Julie, Baud, Gregory, Marciniak, Camille, Chetboun, Mikael, Oukhouya-Daoud, Naima, Blanck, Samuel, Vandel, Jimmy, Olsson, Lisa, Chakaroun, Rima, Gnemmi, Viviane, Leteurtre, Emmanuelle, Lefebvre, Philippe, Haas, Joel T., Yki-Järvinen, Hannele, Francque, Sven, Staels, Bart, Le Roux, Carel W., Tremaroli, Valentina, Mathurin, Philippe, Marot, Guillemette, Romeo, Stefano, and Pattou, François
Abstract: Metabolic dysfunction-associated steatotic liver disease (MASLD) exhibits considerable variability in clinical outcomes. Identifying specific phenotypic profiles within MASLD is essential for developing targeted therapeutic strategies. Here we investigated the heterogeneity of MASLD using partitioning around medoids clustering based on six simple clinical variables in a cohort of 1,389 individuals living with obesity. The identified clusters were applied across three independent MASLD cohorts with liver biopsy (totaling 1,099 participants), and in the UK Biobank to assess the incidence of chronic liver disease, cardiovascular disease and type 2 diabetes. Results unveiled two distinct types of MASLD associated with steatohepatitis on histology and liver imaging. The first cluster, liver-specific, was genetically linked and showed rapid progression of chronic liver disease but limited risk of cardiovascular disease. The second cluster, cardiometabolic, was primarily associated with dysglycemia and high levels of triglycerides, leading to a similar incidence of chronic liver disease but a higher risk of cardiovascular disease and type 2 diabetes. Analyses of samples from 831 individuals with available liver transcriptomics and 1,322 with available plasma metabolomics highlighted that these two types of MASLD exhibited distinct liver transcriptomic profiles and plasma metabolomic signatures, respectively. In conclusion, these data provide preliminary evidence of the existence of two distinct types of clinically relevant MASLD with similar liver phenotypes at baseline, but each with specific underlying biological profiles and different clinical trajectories, suggesting the need for tailored therapeutic strategies.
Published: 2024
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33. Endovascular Ablation of the Greater Splanchnic Nerve in Heart Failure With Preserved Ejection Fraction: The REBALANCE-HF Randomized Clinical Trial

Author: Fudim, Marat, Borlaug, Barry A., Mohan, Rajeev C., Price, Matthew J., Fail, Peter, Goyal, Parag, Hummel, Scott L., Zirakashvili, Teona, Shaburishvili, Tamaz, Patel, Ravi B., Reddy, Vivek Y., Nielsen, Christopher D., Chetcuti, Stanley J., Sukul, Devraj, Gulati, Rajiv, Kim, Luke, Benzuly, Keith, Mitter, Sumeet S., Klein, Liviu, Uriel, Nir, Augostini, Ralph S., Blair, John E., Rocha-Singh, Krishna, Burkhoff, Daniel, Patel, Manesh R., Somo, Sami I., Litwin, Sheldon E., and Shah, Sanjiv J.
Abstract: IMPORTANCE: Greater splanchnic nerve ablation may improve hemodynamics in patients with heart failure and preserved ejection fraction (HFpEF). OBJECTIVE: To explore the feasibility and safety of endovascular right-sided splanchnic nerve ablation for volume management (SAVM). DESIGN, SETTING, AND PARTICIPANTS: This was a phase 2, double-blind, 1:1, sham-controlled, multicenter, randomized clinical trial conducted at 14 centers in the US and 1 center in the Republic of Georgia. Patients with HFpEF, left ventricular ejection fraction of 40% or greater, and invasively measured peak exercise pulmonary capillary wedge pressure (PCWP) of 25 mm Hg or greater were included. Study data were analyzed from May 2023 to June 2024. INTERVENTION: SAVM vs sham control procedure. MAIN OUTCOMES AND MEASURES: The primary efficacy end point was a reduction in legs-up and exercise PCWP at 1 month. The primary safety end point was serious device- or procedure-related adverse events at 1 month. Secondary efficacy end points included HF hospitalizations, changes in exercise function and health status through 12 months, and baseline to 1-month change in resting, legs-up, and 20-W exercise PCWP. RESULTS: A total of 90 patients (median [range] age, 71 [47-90] years; 58 female [64.4%]) were randomized at 15 centers (44 SAVM vs 46 sham). There were no differences in adverse events between groups. The primary efficacy end point did not differ between SAVM or sham (mean between-group difference in PCWP, −0.03 mm Hg; 95% CI, −2.5 to 2.5 mm Hg; P = .95). There were also no differences in the secondary efficacy end points. There was no difference in the primary safety end point between the treatment (6.8% [3 of 44]) and sham (2.2% [1 of 46]) groups (difference, 4.6%; 95% CI, −6.1% to 15.4%; P = .36). There was no difference in the incidence of orthostatic hypotension between the treatment (11.4% [5 of 44]) and sham (6.5% [3 of 46]) groups (difference, 4.9%; 95% CI, −9.2% to 18.8%; P = .48). CONCLUSIONS AND RELEVANCE: Results show that SAVM was safe and technically feasible, but it did not reduce exercise PCWP at 1 month or improve clinical outcomes at 12 months in a broad population of patients with HFpEF. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04592445
Published: 2024
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34. Innovative recycling and conversion of aluminum waste to hydrogen and aluminum chloride: Enhancing economic feasibility and sustainability in Saudi Arabia

Author: Almohamadi, Hamad, Khan, Asim Laeeq, AlKassem, Abdulrahman, Sindi, Wadea, Alrashdi, Sami, and Alhazmi, Taghred
Abstract: The rapid industrialization and urbanization in Saudi Arabia have led to significant challenges in waste management, particularly in recycling aluminum waste. This study explores an innovative approach for converting aluminum waste, specifically beverage cans, into valuable products such as aluminum chloride (AlCl3) and hydrogen (H2). The process involves the chemical reaction of aluminum with hydrochloric acid (HCl), producing AlCl3and H2, and is modeled using Aspen Plus software. Two scenarios are evaluated: one without recycling and one incorporating recycling processes. In the first scenario, the direct conversion process yields 355 tons of AlCl3and 9 tons of H2per day from 100 metric tons of aluminum waste. The minimum selling price (MSP) of AlCl3is calculated to be $764 per ton, with an annual profit of $25 million, assuming a market price of $1000 per ton. However, the economic viability of this scenario is highly sensitive to conversion efficiencies and market conditions. The second scenario integrates a recycling loop, processing 90 % of the aluminum waste back into aluminum, significantly enhancing economic stability. This scenario produces 35 tons of AlCl3and 1 ton of H2per day, with an MSP of $1068 per ton. Despite the higher MSP, the inclusion of recycled aluminum, sold at $2400 per ton, results in a higher annual profit of $38 million, demonstrating greater economic resilience and sustainability. This study provides a comprehensive techno-economic analysis, highlighting the dual benefits of waste reduction and resource recovery. By optimizing reaction conditions and incorporating recycling, the proposed process aligns with Saudi Arabia's Vision 2030 sustainability goals, offering a viable pathway for enhancing economic feasibility and environmental sustainability in aluminum waste management.
Published: 2024
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35. A Review: Novel Therapies for Advanced Clear Cell Renal Cell Carcinoma

Author: Mar, Nataliya, Dwabe, Sami, Kaakour, Dalia, Seyedin, Steven N., Rezazadeh, Arash, and Daneshvar, Michael
Abstract: The therapeutic landscape of clear cell renal cell carcinoma (ccRCC) has dramatically evolved in the last decade. Immuno-oncology (IO) and/or tyrosine kinase inhibitor (TKI) based doublet therapies have become standard in the frontline setting for most patients with advanced ccRCC. For previously-treated advanced ccRCC, multiple agents are available including belzutifan, a hypoxia inducible factor 2 alpha (HIF2-α) inhibitor. However, the challenging goal of developing therapies with a unique mechanism of action remains. Many such promising agents are currently in development such as novel TKIs, inhibitors targeting alternative checkpoints, cellular therapies, radioligands, antibody-drug conjugates, and agents targeting fatty acid metabolism. Further, the role of microbiome is being actively investigated in advanced ccRCC, with ongoing studies evaluating its effect when combined with standard therapies. Mature data from trials with these agents is eagerly awaited.
Published: 2024
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36. Evolution and customisation of the RegCM model for urban climate studies: Addressing multifaceted challenges and advancing climate science

Author: Yasmin, Naushin, Ullah, Safi, and Al-Ghamdi, Sami G.
Abstract: •This paper presents a comprehensive overview of the RegCM system.•The review delves into the evolution of the RegCM system since its inception.•The study highlights the customisation and application of the RegCM system for urban climate studies.•Insights are provided to improve RegCM for urban climate science and sustainability.
Published: 2024
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37. Performance of high sulfonated poly(ether ether ketone) improved with microcrystalline cellulose and 2,3-dialdehyde cellulose for proton exchange membranes

Author: Moussa, Mohamed Amine Ben, Ahmed, Zakarya, Charradi, Khaled, Fraj, Boutheina Ben, Boufi, Sami, Koschella, Andreas, Heinze, Thomas, Keshk, Sherif M. A. S., and Assaker, Ibtissem Ben
Abstract: Sulfonated poly (ether ether ketone) (SPEEK) has received substantial attention for its potential to improve the electrochemical behavior and thermomechanical capabilities of direct methanol fuel cells. This study examines how the integration by solution casting of microcrystalline cellulose (MCC) and 2,3-dialdehyde cellulose (DAC) onto highly sulfonated PEEK (with a sulfonation degree of 80%) affects its physicochemical properties and morphological structures. The mechanical attributes and proton conductivity of the polymer matrix are impacted by MCC and DAC inclusion into SPEEK membrane. The maximum proton conductivity was seen in the SPEEK/MCC membranes at 70 °C (up to 0.1 S cm−1). The proton conductivity in methanol vapor was increased by SPEEK/DAC membranes at high temperatures as opposed to pristine SPEEK and SPEEK/MCC membranes.
Published: 2024
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38. Systematic review and meta-analysis on antimicrobial resistance and drug resistance in Saudi Arabia

Author: Kiran, Myle Akshay, Alghamdi, Saad, Ashgar, Sami, Alhindi, Zain, Al-Abdullah, Nabeela, and Dablool, Anas S.
Abstract: •This meta-analysis of 25 studies reveals that antimicrobial resistance (AMR) is a substantial problem in Saudi Arabia. The incidence rates for MRSA, Enterobacteriaceae that produce ESBLs, Enterobacteriaceae that are carbapenemase resistant, Pseudomonas aeruginosaand Acinetobacter baumanniiwere shown to have high levels of resistance.•The rates for such bacteria were 38.7%, 26.4% and 15.2% respectively suggesting an imminent need for improvement in surveillance measures & interventions to reduce the burden of AMR (Antimicrobial Resistance).•In this regard, effective infection control programs with targeted or global policies must be implemented simultaneously while promoting antibiotic stewardship every single time preserving its efficacy efficiently alongside it.•Additionally associated risk factors including prior usage of antibiotic medicines, prolonged hospital stays plus healthcare related infections increased the detection rate further highlighting this pressing concern which needs immediate attention from authorities concerned.•Forest plots had been created through research data collected using appropriate statistical procedures showing confidence intervals (CIs).•The conclusion suggests implementation of better policies/control proposals focusing on attainable objectives can put forth countermeasures geared towards diminishing AMR ensuring timely adequate treatments are being administered without underlying potential risks posed by resistant microbes while preserving existing viability of antibiotics properly.
Published: 2024
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39. Review of the US 2050 long term strategy to reach net zero carbon emissions

Author: Fam, Adam and Fam, Sami
Abstract: In 2015, during the lead up to the Paris Climate Agreement, the United States set forth a Nationally Determined Contribution that outlines national goals for greenhouse gas emission reductions. It was not until 2021 that the US put forth a long-term strategy that lays out the pathway to reach these goals. The US long-term strategy lays the framework for research needs to meet the greenhouse gas emission reduction goals and incentivizes industry to meet the goals using a variety of policies. The five US long term strategy core elements are to decarbonize electricity, electrify end uses and switch to clean fuels, cut energy waste, reduce methane and other non-carbon dioxide greenhouse gas emissions and to scale up carbon dioxide removal. Implementation of the long term strategy has generally been funded by tax incentives and government grants that were approved as part of the Inflation Reduction Act. Political headwinds, societal Not in My Backyard resistance, long-term economic funding, cumbersome permitting requirements and incentives vs. taxation debate are significant policy/non-technical hurdles. Technical challenges remain regarding effective energy efficiency implementation, the use of hydrogen as a fuel, cost effective carbon emission treatment, nuclear energy expansion, renewables expansion and grid integration, biofuel integration, efficient and safe energy storage and electrical grid adequacy/expansion. This review article condenses the multitude of technical and policy issues facing the US long-term strategy, providing readers with an overview of the extent and magnitude of the challenges while outlining possible solutions.
Published: 2024
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40. Stability of Caputo-Katugampola integro F.D. delay nonlinear control system

Author: Sleibi, Ahmed Sami and Hasan, Sameer Qasim
Published: 2024
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41. Retrieving visual microphone sound using the PSO-CNN hybrid technique

Author: Yaqoub, Khalida Ali Ahmed, lbrahim, Abdul-Wahab Sami, and Abdul Jabar, Asmaa S.
Published: 2024
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42. Comparison of Nasal Airways After Classical Structural Rhinoplasty and Dorsal Preservation Rhinoplasty

Author: Scadding, Glenis Kathleen, Passali, Desiderio, Bedrosian, Jeffrey C, Emre, Ismet Emrah, Koyluoglu, Yilmaz Onat, Seyhun, Nurullah, and Kaya, Kerem Sami
Abstract: Purpose:To investigate whether there was a difference in the nasal airway dimensions after dorsal preservation and classical structural rhinoplasty. Introduction:The surgical approach to rhinoplasty has improved over many decades. The first was the classic structural rhinoplasty (CSR) developed by Joseph, where the excess tissues are removed from the dorsal hump. In the following decades, dorsal preservation rhinoplasty (DPR) was established to prevent complications associated with CSR. Methods:One hundred twenty-four patients without self-reported nose obstruction syndromes underwent DPR or CSR according to the authors’ shared surgical regime. Nasal airway dimensions of rhinoplasty patients were measured preoperatively and postoperatively with acoustic rhinometry (AR), and minimum cross-sectional areas (MCA) and internal nasal volumes (VOL) were acquired. Results:Dorsal preservation rhinoplasty was performed on 64 patients (51.6%), while classical structural rhinoplasty was performed on the remaining 60 (48.4%). There were no significant differences between the 2 techniques regarding VOL and MCA. (MCA1left side DPR vs CSR P= .539, VOL1 right side DPR vs CSR P= .843). Conclusion:We postulate that nasal airway dimensions do not predict or indicate whether the DPR or CSR technique will be/have been used in rhinoplasty surgery, and the employed technique does not significantly alter the dimensions of the nasal airways. Any significant change in nasal airway dimensions is more likely due to the septal intervention.
Published: 2024
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43. Interpolation-Based IoT Sensors Selection

Author: Chaabane, Nabil, Mahfoudhi, Sami, and Belkadhi, Khaled
Abstract: Data traffic and network congestion remain some of the main challenges in Internet of Things (IoT) systems. In this article, we propose an innovative numerical method aimed at reducing the number of required sensors while maintaining data quality and integrity. The method proposed is an optimization technique based on a variant of the step method coupled with the interpolation technique. It allows the resizing of the existing IoT architecture by removing the latent redundancy within the system. By optimizing resources, our method addresses the critical issues of data traffic and energy efficiency in IoT networks. The algorithm intelligently reduces the number of sensors needed without compromising the accuracy and reliability of the collected data. Hence, it mitigates the adverse effects of network congestion and excessive energy demands. After determining the new IoT architecture, we tested the network on unseen data. The results indicate that the relative error follows a consistent trend observed in the training set, further demonstrating the robustness of the method. This optimization ensures efficient and effective IoT operations, ultimately contributing to the development of more sustainable and scalable IoT infrastructures. Through this method, we provide a viable solution to some of the most pressing challenges faced by modern IoT networks.
Published: 2024
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44. Peristaltic propulsion of Jeffrey nanofluid with heat and electromagnetic effects: application to biomedicine

Author: Ramesh, Katta, Vemulawada, Sridhar, Khan, Sami Ullah, Saleem, Salman, Sharma, Anil, Lodhi, Ram Kishun, and Kuppalapalle, Vajravelu
Abstract: This study investigates the peristaltic transport of Jeffrey nanofluid in a physiological vessel, addressing the significant issue of optimizing fluid transport in biomedical and industrial applications, such as targeted drug delivery, thermal management devices, and biosensor technologies. Approximate analytical solutions were derived using long wavelength and low Reynolds number approximations to simplify the complex system and provide clear insights into fluid dynamics. The study incorporates an applied magnetic field, viscous dissipation, heat sources, electroosmosis, and thermal radiation. Significant outcomes include higher temperatures in blood-graphene nanofluid compared to blood-platinum nanofluid, reduced nanofluid velocity with increased magnetic field strength, higher irreversibility generated by blade-shaped nanoparticles, and reduced bolus size with increasing Jeffrey fluid parameter. These findings highlight the complex interactions between various physical parameters and suggest optimization strategies for specific applications. The study’s goal is to provide a foundation for future research and practical implementations in relevant technologies.
Published: 2024
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45. Predictive values and relationships of serum PSA levels, delta neutrophil index, neutrophil-lymphocyte ratio and other hematological parameters in patients with acute prostatitis

Author: Uyanık, Bekir Sami, Cakiroglu, Basri, and Gozukucuk, Ramazan
Abstract: Background: This study aimed to evaluate the predictive values and relationships of serum prostate-specific antigen (PSA) levels, delta neutrophil index (DNI), neutrophil-lymphocyte ratio (NLR), and other hematological parameters in patients diagnosed with acute prostatitis.Methods: Serum PSA levels and hemogram parameters of patients diagnosed with acute prostatitis were retrospectively analyzed. Healthy patients of the same age group were assigned to the control group. WBC, neutrophil, lymphocyte, thrombocyte (PLT), mean platelet volume (MPV), plateletcrit (PCT), NLR, and DNI were determined. Serum total PSA and C-reactive protein (CRP) levels were also assessed.Results: Total PSA levels (3.48 [1.11–6.66]) in the acute prostatitis (AP) group were significantly higher than those of healthy men (0.82 [0.47–1.39]) (p< 0.001). Total CRP levels (3.88 [1.50–22.03]) in the AP group were significantly higher than those in healthy men (1.15 [0.89–2.00]) (p< 0.001). The sensitivity and specificity of PSA at a cutoff value of 1.52 were 68.4% and 79.7%, respectively. The NLR value in the AP group was 2.62 (1.87–4.42), compared to 1.63 (1.18–2.20) in the healthy group (p< 0.001). Differences in WBC, neutrophil, and lymphocyte counts were also statistically significant (p< 0.001). There were no significant differences in PLT, PCT, or DNI values. Significant positive correlations were observed between PSA, CRP, and DNI values (all p< 0.001).Conclusion: This study demonstrated the usefulness of NLR, PSA, CRP, and WBC as predictors of acute prostatitis. NLR is a simple, inexpensive inflammation parameter that correlates well with CRP levels.
Published: 2024
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46. Kidney Care in Times of Crises: A Review

Author: Alasfar, Sami, Koubar, Sahar H., Gautam, Samir C., and Jaar, Bernard G.
Abstract: The global burden of kidney disease is increasing, paralleled by a rising number of natural and man-made crises. During these tumultuous times, accessing vital health care resources becomes challenging, posing significant risks to individuals, particularly those with kidney disease. This review delves into the impact of crises on kidney disease, with a particular focus on acute kidney injury (AKI), kidney failure, and kidney transplant. Patients experiencing crush injuries leading to AKI may encounter delayed diagnosis due to the chaotic nature of disasters and limited availability of resources. In chronic crises such as conflicts, patients with kidney failure are particularly affected, and deviations from dialysis standards are unfortunately common, impacting morbidity and mortality rates. Additionally, crises also disrupt access to kidney transplants, potentially compromising transplant outcomes. This review underscores the critical importance of preparedness measures and proactive management for kidney disease in crisis settings. Collaborative efforts among government bodies, rescue teams, health care providers, humanitarian agencies, and nongovernmental organizations are imperative to ensure equitable and reasonable care for kidney disease patients during times of crises, with the aim of saving lives and improving outcomes.
Published: 2024
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47. On some singular semilinear elliptic equation with doubly exponential growth at infinity in R2

Author: Aouaoui, Sami and Bahrouni, Ala Eddine
Abstract: In this paper, we prove the existence of at least two solutions to some semilinear elliptic equation defined in the whole euclidean space R2.The nonlinearity consists of two terms: one presents a singularity at the origin and the other has a doubly exponential behavior at infinity. This new exponential behavior is governed by a recently established weighted inequality of Trudinger–Moser type. A combination of perturbation arguments and variational tools is employed to obtain our multiplicity result.
Published: 2024
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48. Polyphenol-Loaded Nano-carriers for Breast Cancer Therapy: A Comprehensive Review

Author: Bhat, Asif Ahmad, Gupta, Gaurav, Afzal, Muhammad, Thapa, Riya, Ali, Haider, Alqahtani, Safar M., almalki, Waleed Hassan, Kazmi, Imran, Alzarea, Sami I., Saleem, Shakir, and Subramaniyan, Vetriselvan
Abstract: Graphical Abstract:
Published: 2024
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49. Validated LC/MS method for simultaneous determination of elbasvir and grazoprevir in human plasma

Author: Labidi, Aymen, Bensghaier, Rafika, Jebali, Sami, and Latrous, Latifa
Abstract: •A first detailed study dealing with the extraction and separation of elbasvir and grazoprevir, two new direct-acting antivirals, in human plasma samples.•The effect of extraction solvent and the use of stable mobile phase and daclatasvir as internal standard are highlighted.
Published: 2024
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50. Robotic living donor hepatectomy is associated with superior outcomes for both the donor and the recipient compared with laparoscopic or open - A single-center prospective registry study of 3448 cases

Author: Raptis, Dimitri A., Elsheikh, Yasser, Alnemary, Yasir, Marquez, Kris Ann H., Bzeizi, Khalid, Alghamdi, Saad, Alabbad, Saleh, Alqahtani, Saleh A., Troisi, Roberto I., Boehnert, Markus U., Malago, Massimo, Wu, Yao-Ming, Broering, Dieter C., Lepiesza, Agniesza, AlMudaiheem, Bedour A., Elmikkaoui, Bilal, Zakaria, Hazem, Vashist, Yogesh, Alshibi, Leen, and Kareem, Sami A.
Abstract: Minimally invasive donor hepatectomy is an emerging surgical technique in living donor liver transplantation (LDLT). We examined outcomes across open, laparoscopic, and robotic LDLT using a prospective registry. We analyzed 3448 cases (1724 donor-recipient pairs) from January 2011 to March 2023 (NCT06062706). Among donors, 520 (30%) were female. Adult-to-adult LDLT comprised 1061 (62%) cases. A total of 646 (37%) of the donors underwent open, 165 (10%) laparoscopic, and 913 (53%) robotic hepatectomies. Primary outcomes: donor overall morbidity was 4% (35/903) for robotic, 8% (13/165) laparoscopic, and 16% (106/646) open (P< .001) procedures. Pediatric and adult recipient mortality was similar among the 3 donor hepatectomy approaches: robotic 1.5% and 7.0%, compared with 2.3% and 8.3% laparoscopic, and 1.6% and 5.5% for open donor surgery, respectively (P =.802, P =.564). Secondary outcomes: pediatric and adult recipients major morbidity after robotic hepatectomy was 15% and 23%, compared with 25% and 44% for laparoscopic surgery and 19% and 31% for open surgery, respectively (P =.033, P <.001). Graft and recipient 5-year survival were 90% and 93% for pediatrics and 79% and 80% for adults, respectively. In conclusion, robotic LDLT was associated with superior outcomes when compared with the laparoscopic and open approaches. Both donors and, for the first time reported, recipients benefitted from lower morbidity rates in robotic surgery, emphasizing its potential for further advancing this field.
Published: 2024
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