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4,350 results on '"Kundra"'

3. Improving Mechanical Properties of Poly(ethylene oxide) Composites Using RAFT-Modified SiO₂ Nanoparticles

Author

Linkov Nikolay, Krishna PVVSSR, Prasad Garapati Venkata Sai, Jugran Sudhir, Punia Ankit, Kumar Suresh, Kundra Danish, and Goyal Anju

Subjects
poly(ethylene oxide), sio₂ nanoparticles, raft polymerization, composite materials, mechanical properties, xrd analysis, Environmental sciences, GE1-350
Abstract

The objective of this work was to examine the impact of conventional and RAFT-modified SiO₂ nanoparticles on the mechanical characteristics and crystallinity of poly(ethylene oxide) (PEO) composites. Preparation of PEO composites included the incorporation of 5 wt% of both unaltered SiO₃ and SiO₃ that had been changed via reversible addition-fragmentation chain transfer (RAFT) polymerization. We assessed the mechanical characteristics, such as strain at fracture, ultimate tensile strength, and Young’s modulus. The inclusion of unaltered SiO₂ decreased the strain at fracture (570 ± 18%) and ultimate tensile strength (22.5 ± 0.8 MPa) in comparison to pure PEO (850 ± 25%, 32.0 ± 1.2 MPa). Nevertheless, the inclusion of RAFT-modified SiO₂ led to improved tensile characteristics, including a strain at break of 800 ± 30%, ultimate tensile strength of 35.2 ± 2.5 MPa, and Young’s modulus of 260 ± 13 MPa. The effective dispersion of RAFT- modified SiO₂ in the PEO matrix was verified by X-ray diffraction (XRD), leading to enhanced mechanical characteristics. This research points that the using the RAFT polymerization to alter the surface of nanoparticles is a good strategy to enhance the efficiencies of PEO composite for potential application in versatile electronics, membranes and other polymers technologies.

Published
2024
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4. Life Cycle Analysis of Energy Storage Technologies: A Comparative Study

Author

Nemova Darya Viktorovna, Rao Davu Srinivasa, Dubey Vijay Anand, Prasad Rajendra, Kumar Amit, Kundra Danish, and Khan Rizwan

Subjects
energy storage technologies, life cycle analysis, environmental impact, economic viability, social implications, Environmental sciences, GE1-350
Abstract

This study offers a thorough comparative analysis of the life cycle assessment of three significant energy storage technologies—Lithium-Ion Batteries, Flow Batteries, and Pumped Hydro—evaluating their environmental, economic, and social aspects in a complete manner. When considering the environmental effect, it is evident that Lithium-Ion Batteries surpass Flow Batteries and Pumped Hydro in terms of carbon footprint, water use, and land utilization. Flow Batteries and Pumped Hydro exhibit significant decreases, ranging from 40% to 60%, showcasing their potential as ecologically sound alternatives with heightened sustainability advantages. From an economic standpoint, it can be confidently said that Flow Batteries and Pumped Hydro surpass Lithium-Ion Batteries in terms of both capital and operational expenses, resulting in a decreased Levelized Cost of Storage (LCOS). The examination of percentage change showcases significant decreases, ranging from 20% to 50%, underscoring the economic competitiveness of Flow Batteries and Pumped Hydro. Regarding societal consequences, Flow Batteries and Pumped Hydro exhibit a propensity for heightened job production, augmented community acceptability, and enhanced health and safety records in contrast to Lithium-Ion Batteries. The assessments of percentage change further underscore the societal benefits of Flow Batteries and Pumped Hydro, demonstrating a substantial increase of 40% to 100% in job creation, a notable rise of 6.25% to 12.5% in community acceptability, and a significant decrease of 50% to 75% in health and safety problems. These results jointly emphasize the comprehensive benefits of Flow Batteries and Pumped Hydro, indicating their potential as sustainable, cost-effective, and socially responsible energy storage options. Given the ongoing evolution of the energy landscape, the findings obtained from this research greatly enhance the ability of stakeholders and policymakers to make well-informed decisions in their efforts to design a more environmentally friendly and robust energy future. The study emphasizes the significance of taking into account not only the technological efficacy, but also the wider environmental, economic, and social circumstances when implementing energy storage technology.

Published
2024
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5. Enhancing Wind Turbine Performance using Computational Fluid Dynamics

Author

Sravanthi Jajimoggala, Kumari D. Radha, Punia Ankit, Jugran Sudhir, Kumar Suresh, Kundra Danish, Chaturvedi Rishabh, and Alabdeli Haider

Subjects
wind turbine performance, computational fluid dynamics (cfd), blade optimization, aerodynamics, turbulence models, Environmental sciences, GE1-350
Abstract

This study explores the potential of Computational Fluid Dynamics (CFD) to enhance wind turbine performance by analyzing fluid flow and aerodynamic behavior. By applying CFD simulations to optimize blade designs and predict wake interactions, significant improvements in turbine efficiency and power output were achieved. The study focuses on the effects of different blade geometries, wind speeds, and turbulence models. Results show a 15% increase in aerodynamic efficiency through optimized blade angles, with a 10% reduction in turbulence-induced losses. This research provides insights into using CFD to improve turbine design and performance, making wind energy more efficient and sustainable.

Published
2024
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6. Assessing Climate Change Adaptation Strategies in Agriculture using Agent-Based Modeling

Author

Punia Ankit, Kumar Yalla Jeevan Nagendra, Lakshmi Adidela Rajya, Shnain Ammar Hameed, Saxena Archana, Kumar Suresh, Kundra Danish, and Tiwari Deepak Kumar

Subjects
climate change adaptation strategies, rapid prototyping, reverse engineering, product evolution, ethical frameworks, Environmental sciences, GE1-350
Abstract

This project seeks to analyze the complex dynamics of climate change adaptation techniques in agriculture by investigating the synergistic link between diverse agricultural practices and technology intervention s via agent-based modeling. The experimental data, consisting of synthetic datasets, clarifies the iterative adaptation process by illustrating examples such as “Drought Resistant Crop-alpha” and “Water Conservation System-beta,” which demonstrate the effectiveness of swift modifications to evolving climatic circumstances. The revolutionary influence of technology adoption is shown by developments such as “Smart Irrigation-Enhanced,” which underscores its ability to improve resilience and production. The seamless integration of these methods across all agricultural phases, from initial acceptance to extensive application, highlights their interrelated and mutually reinforcing connection. Confronting difficulties, especially those associated with socio-economic dynamics and resource allocation, requires the integration of ethical and policy considerations. This study offers critical insights into the essential comprehension of climate adaptation techniques, which will inform future research and underscore the need for ethical frameworks in enhancing the efficacy of agent-based models for agricultural resilience.

Published
2024
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7. Seroprevalence of Transfusion Transmissible Infections Among Voluntary Blood Donors at an Indian Hospital

Author

Kundra M, Sood S, Gulia SP, and Sharma N

Subjects
blood donors, blood transfusion, seroprevalence, transfusion transmissible infections, Medicine (General), R5-920, Public aspects of medicine, RA1-1270
Abstract

Background: The knowledge of the incidence of blood Transfusion Transmissible Infections (TTIs) such as Hepatitis B, Hepatitis C, Human Immunodeficiency Virus infection, malaria and syphilis is essential for monitoring the safety of blood supply. Objective: To describe the prevalence of TTIs for monitoring blood supply safety and evaluating the efficacy of screening procedures. Methods: A five-year retrospective study spanning January 2016 to December 2020 was carried out on voluntary blood donors at blood donation camps organised by Adesh Medical College and Hospital, Kurukshetra, Haryana, India, and from donors at the hospital’s blood bank. The donated blood was tested for Hepatitis-B, Hepatitis-C, Human Immunodeficiency Virus (HIV), malaria and syphilis. Results: There were a total of 10,468 voluntary blood donors during the period of study. Out of all the donors, 0.4% tested positive for at least one of the TTIs, including 0.06% testing positive for HIV, 0.21% for Hepatitis-B virus (HBV) infection (Hepatitis-B Surface Antigen) and 0.13% for Hepatitis-C virus (HCV) infection (Anti HCV Antibodies). None of the voluntary donors was positive for malaria or syphilis. There were no co-infections. Conclusions: The prevalence of TTIs among voluntary blood donors was low hence the advocation for blood from this group of donors. Donated blood specimens should be more effectively screened, and blood should be rationally used.

Published
2021
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12. Automated real-world data integration improves cancer outcome prediction

Author

Jee, Justin, Fong, Christopher, Pichotta, Karl, Tran, Thinh Ngoc, Luthra, Anisha, Waters, Michele, Fu, Chenlian, Altoe, Mirella, Liu, Si-Yang, Maron, Steven B., Ahmed, Mehnaj, Kim, Susie, Pirun, Mono, Chatila, Walid K., de Bruijn, Ino, Pasha, Arfath, Kundra, Ritika, Gross, Benjamin, Mastrogiacomo, Brooke, Aprati, Tyler J., Liu, David, Gao, JianJiong, Capelletti, Marzia, Pekala, Kelly, Loudon, Lisa, Perry, Maria, Bandlamudi, Chaitanya, Donoghue, Mark, Satravada, Baby Anusha, Martin, Axel, Shen, Ronglai, Chen, Yuan, Brannon, A. Rose, Chang, Jason, Braunstein, Lior, Li, Anyi, Safonov, Anton, Stonestrom, Aaron, Sanchez-Vela, Pablo, Wilhelm, Clare, Robson, Mark, Scher, Howard, Ladanyi, Marc, Reis-Filho, Jorge S., Solit, David B., Jones, David R., Gomez, Daniel, Yu, Helena, Chakravarty, Debyani, Yaeger, Rona, Abida, Wassim, Park, Wungki, O’Reilly, Eileen M., Garcia-Aguilar, Julio, Socci, Nicholas, Sanchez-Vega, Francisco, Carrot-Zhang, Jian, Stetson, Peter D., Levine, Ross, Rudin, Charles M., Berger, Michael F., Shah, Sohrab P., Schrag, Deborah, Razavi, Pedram, Kehl, Kenneth L., Li, Bob T., Riely, Gregory J., and Schultz, Nikolaus

Published
2024
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16. Density-based Isometric Mapping

Author

Yousefi, Bardia, Khansari, Mélina, Trask, Ryan, Tallon, Patrick, Carino, Carina, Afrasiyabi, Arman, Kundra, Vikas, Ma, Lan, Ren, Lei, Farahani, Keyvan, and Hershman, Michelle

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition
Abstract

The isometric mapping method employs the shortest path algorithm to estimate the Euclidean distance between points on High dimensional (HD) manifolds. This may not be sufficient for weakly uniformed HD data as it could lead to overestimating distances between far neighboring points, resulting in inconsistencies between the intrinsic (local) and extrinsic (global) distances during the projection. To address this issue, we modify the shortest path algorithm by adding a novel constraint inspired by the Parzen-Rosenblatt (PR) window, which helps to maintain the uniformity of the constructed shortest-path graph in Isomap. Multiple imaging datasets overall of 72,236 cases, 70,000 MINST data, 1596 from multiple Chest-XRay pneumonia datasets, and three NSCLC CT/PET datasets with a total of 640 lung cancer patients, were used to benchmark and validate PR-Isomap. 431 imaging biomarkers were extracted from each modality. Our results indicate that PR-Isomap projects HD attributes into a lower-dimensional (LD) space while preserving information, visualized by the MNIST dataset indicating the maintaining local and global distances. PR-Isomap achieved the highest comparative accuracies of 80.9% (STD:5.8) for pneumonia and 78.5% (STD:4.4), 88.4% (STD:1.4), and 61.4% (STD:11.4) for three NSCLC datasets, with a confidence interval of 95% for outcome prediction. Similarly, the multivariate Cox model showed higher overall survival, measured with c-statistics and log-likelihood test, of PR-Isomap compared to other dimensionality reduction methods. Kaplan Meier survival curve also signifies the notable ability of PR-Isomap to distinguish between high-risk and low-risk patients using multimodal imaging biomarkers preserving HD imaging characteristics for precision medicine., Comment: This is the author's version

Published
2024

17. Erythrocyte nano-ghosts with dual optical and magnetic resonance characteristics.

Author

Lee, Chi-Hua, Zaman, Shamima, Kundra, Vikas, and Anvari, Bahman

Subjects
biomimetics, fluorescence, halogenated dyes, nanoparticles, near-infrared, red blood cells, spectroscopy, Magnetic Resonance Imaging, Erythrocytes, Fluorescent Dyes, Carbocyanines, Optical Imaging, Humans, Contrast Media, Indocyanine Green
Abstract

SIGNIFICANCE: Fluorescent organic dyes provide imaging capabilities at cellular and sub-cellular levels. However, a common problem associated with some of the existing dyes such as the US FDA-approved indocyanine green (ICG) is their weak fluorescence emission. Alternative dyes with greater emission characteristics would be useful in various imaging applications. Complementing optical imaging, magnetic resonance (MR) imaging enables deep tissue imaging. Nano-sized delivery systems containing dyes with greater fluorescence emission as well as MR contrast agents present a promising dual-mode platform with high optical sensitivity and deep tissue imaging for image-guided surgical applications. AIM: We have engineered a nano-sized platform, derived from erythrocyte ghosts (EGs), with dual near-infrared fluorescence and MR characteristics by co-encapsulation of a brominated carbocyanine dye and gadobenate dimeglumine (Gd-BOPTA). APPROACH: We have investigated the use of three brominated carbocyanine dyes (referred to as BrCy106, BrCy111, and BrCy112) with various degrees of bromination, structural symmetry, and acidic modifications for encapsulation by nano-sized EGs (nEGs) and compared their resulting optical characteristics with nEGs containing ICG. RESULTS: We find that asymmetric dyes (BrCy106 and BrCy112) with one dibromobenzene ring offer greater fluorescence emission characteristics. For example, the relative fluorescence quantum yield ( ϕ ) for nEGs fabricated using 100    μ M of BrCy112 is ∼ 41 -fold higher than nEGs fabricated using the same concentrations of ICG. The dual-mode nEGs containing BrCy112 and Gd-BOPTA show a nearly twofold increase in their ϕ as compared with their single optical mode counterpart. Cytotoxicity is not observed upon incubation of SKOV3 cells with nEGs containing BrCy112. CONCLUSIONS: Erythrocyte nano-ghosts with dual optical and MR characteristics may ultimately prove useful in various biomedical imaging applications such as image-guided tumor surgery where MR imaging can be used for tumor staging and mapping, and fluorescence imaging can help visualize small tumor nodules for resection.

Published
2024

25. Density asymmetry and wind velocities in the orbital plane of the symbiotic binary EG Andromedae

Author

Shagatova, N., Skopal, A., Kundra, E., Komžík, R., Shugarov, S. Yu., Pribulla, T., and Krushevska, V.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

Context. Non-dusty late-type giants without a corona and large-scale pulsations represent objects that do not fulfil the conditions under which standard mass-loss mechanisms can be applied efficiently. The driving mechanism of their winds is still unknown. Aims. The main goal of this work is to match the radial velocities of absorbing matter with a depth in the red giant (RG) atmosphere in the S-type symbiotic star EG And. Methods. We measured fluxes and radial velocities of ten FeI absorption lines from spectroscopic observations with a resolution of ~30 000. At selected orbital phases, we modelled their broadened profiles, including all significant broadening mechanisms. Results. The selected FeI absorption lines at 5151 - 6469A, originate at a radial distance ~1.03 RG radii from its centre. The corresponding radial velocity is typically ~1 km/s , which represents a few percent of the terminal velocity of the RG wind. The high scatter of the radial velocities of several km/s in the narrow layer of the stellar atmosphere points to the complex nature of the near-surface wind mass flow. The average rotational velocity of 11 km/s implies that the rotation of the donor star can contribute to observed focusing the wind towards the orbital plane. The orbital variability of the absorbed flux indicates the highest column densities of the wind in the area between the binary components, even though the absorbing neutral material is geometrically more extended from the opposite side of the giant. This wind density asymmetry in the orbital plane region can be ascribed to gravitational focusing by the white dwarf companion. Conclusions. Our results suggest that both gravitational and rotational focusing contribute to the observed enhancement of the RG wind towards the orbital plane, which makes mass transfer by the stellar wind highly efficient., Comment: 12 pages, 10 figures

Published
2023
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27. Indocyanine Green (ICG) Fluorescence Is Dependent on Monomer with Planar and Twisted Structures and Inhibited by H-Aggregation

Author

Chon, Bonghwan, Ghann, William, Uddin, Jamal, Anvari, Bahman, and Kundra, Vikas

Subjects
Other Chemical Sciences, Genetics, Other Biological Sciences, Chemical Physics, Biochemistry and cell biology, Microbiology, Medicinal and biomolecular chemistry
Abstract

The optical properties of indocyanine green (ICG) as a near-infrared (NIR) fluorescence dye depend on the nature of the solvent medium and the dye concentration. In the ICG absorption spectra of water, at high concentrations, there were absorption maxima at 700 nm, implying H-aggregates. With ICG dilution, the main absorption peak was at 780 nm, implying monomers. However, in ethanol, the absorption maximum was 780 nm, and the shapes of the absorption spectra were identical regardless of the ICG concentration, indicating that ICG in ethanol exists only as a monomer without H-aggregates. We found that emission was due to the monomer form and decreased with H-aggregate formation. In the fluorescence spectra, the 820 nm emission band was dominant at low concentrations, whereas at high concentrations, we found that the emission peaks were converted to 880 nm, suggesting a new form via the twisted intramolecular charge transfer (TICT) process of ICG. The NIR fluorescence intensity of ICG in ethanol was approximately 12- and 9-times brighter than in water in the NIR-I and -II regions, respectively. We propose an energy diagram of ICG to describe absorptive and emissive transitions through the ICG structures such as the monomer, H-aggregated, and TICT monomer forms.

Published
2023

28. Pulsation of IU Per from the Ground-based and ‘Integral’ Photometry

Author

Kundra E., Hric L., and Gális R.

Subjects
stars: binaries: eclipsing, stars: oscillations, stars: variables: δ scuti, stars: individual (iu per), Astronomy, QB1-991
Abstract

IU Per is an eclipsing semi-detached binary with a pulsating component. Using our own ground-based, as well as INTEGRAL satellite photometric observations in the B and V passbands, we derived geometrical and physical parameters of this system. We detected the short-term variations of IU Per in the residuals of brightness after the subtraction of synthetic light curves. Analysis of these residuals enabled us to characterize and localize the source of short-term variations as the pulsations of the primary component typical to δ Scuti-type stars.

Published
2013
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29. A Systematic Analysis of the Computational Intelligence Techniques for Fake News Detection

Author

Kundra, Harish, Shivani, Kundra, Sheetal, Hassan, Mariya, Kunta, Sai Theja, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Goar, Vishal, editor, Kuri, Manoj, editor, Kumar, Rajesh, editor, and Senjyu, Tomonobu, editor

Published
2024
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30. Spatial and angular alterations in the dental arch after premature loss of primary molars: Immediate and 9-month computed tomography evaluation

Author

Kundra, Ruchika, Sharma, Deepak, Kaur, Ravneet, Monga, Suneet, and Duvedi, Shuchi

Subjects
CT imaging, Orthodontics
Abstract

ABSTRACT Background: Contemporary imaging methods and quickly advancing technologies have increased the number of diagnostic tools available in medicine and orthodontics. The current study aimed to determine three-dimensional (3D) space changes that occurred after the extraction of either the maxillary or mandibular primary molars during the mixed dentition period. Materials and Methods: The present study was a longitudinal split-mouth study with a study group and a control group. The sample consisted of 20 children aged between 6 and 9 years. Clinical examination, radiological analysis, and 3D digital images of the plaster casts were used sequentially to gather all the data. The dental cast measurements recorded were arch width, arch length, hemi-perimeter, dental space at the extraction site, and angulation of the first permanent molar. The children were recalled for follow-up after 9 months, and all dental cast measurements were repeated using nondestructive 3D computed tomography software. For repeated measurements, the test applied was a paired t-test, and for independent samples, the test was a Student's t-test. Results: A significant decrease in arch width (P = 0.001), arch length (P < 0.001), hemi-perimeter (P < 0.001), D-space (P < 0.001), and E-space (P = 0.001) was observed following extraction. A significant increase in angulation measurements was observed (P = 0.001). Conclusion: The study revealed a comparative reduction in mandibular arch width, a reduction in arch length in both the maxilla and the mandible, a reduced hemi-perimeter of dental arches, loss of dental extraction space, and a change in angulation of the erupted first permanent molars following premature loss of the primary molar. Keywords: Computed tomography, Dentascan, mixed dentition, spatial changes, virtual imaging, Author(s): Ruchika Kundra [1]; Deepak Sharma (corresponding author) [2]; Ravneet Kaur [1]; Suneet Monga [2]; Shuchi Duvedi [3] Introduction Over the past few decades, significant scientific advancements in dentistry have [...]

Published
2024
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31. Efficacy of endotracheal tube cuff lignocaine in the prevention of postextubation cough in children undergoing elective surgeries - A randomised controlled trial

Author

Kavyashree, M. B., Kundra, Pankaj, and Vinayagam, Stalin

Subjects
Medical research -- Analysis, Medicine, Experimental -- Analysis, Lidocaine -- Analysis, Pediatrics -- Analysis, Heart beat -- Analysis, Clinical trials -- Analysis, Surgery -- Analysis, Health
Abstract

Background and Aims: Postextubation airway complications are more common in paediatric patients than in adults. Intravenous lignocaine effectively prevents extubation response; however, data on using intracuff lignocaine in microcuff endotracheal tubes is scarce. The primary aim of this study was to compare the incidence of postextubation cough between intracuff lignocaine and intracuff air in the paediatric population during tracheal extubation. Methods: This randomised controlled study was conducted in 120 paediatric patients aged 1 month to 12 years who were scheduled to undergo surgeries under general anaesthesia. They were randomised to Group C (intracuff air) and Group L (intracuff 2% lignocaine). After administering general anaesthesia, the airway was secured with an age-appropriate microcuff endotracheal tube. According to groups, the cuff was inflated with air or lignocaine to achieve a cuff pressure of 10 cm H[sub.2]O. Incidences of cough, desaturation, laryngospasm, apnoea and haemodynamic changes were recorded after tracheal extubation. Categorical variables were compared using the Chi-square or Fisher's exact test, and continuous variables were compared using the Student's t-test or Mann-Whitney U test. Intergroup differences between the variables were analysed by a two-way repeated measure analysis of variance. Results: The incidence of postextubation cough was significantly higher in Group C [17 (28.3%) (confidence interval {CI} = 17.4-41.4)] when compared to Group L [8 (13.3%) (CI = 5.9-24.6)], with P = 0.043. One patient in Group C had laryngospasm compared to none in Group L. In Group C, there was also a significant increase in heart rate at all time points (1-5 min after extubation) from the baseline, and this increase was also significantly higher when compared to Group L (P < 0.05). Conclusion: The incidence of postextubation cough was significantly lower with intracuff lignocaine compared to that with intracuff air in paediatric patients. Keywords: Anaesthesia, cough, intracuff, laryngospasm, lidocaine, microcuff, tracheal extubation, Author(s): M. B. Kavyashree [1]; Pankaj Kundra [1]; Stalin Vinayagam (corresponding author) [1] INTRODUCTION Paediatric patients are at higher risk of developing postextubation airway complications (cough, laryngospasm, desaturation) than adults [...]

Published
2024
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32. Comparison of the scan-as-you-go technique with the short-axis out-of-plane technique on the incidence of posterior venous wall puncture in ultrasound-guided internal jugular vein cannulation - A randomised controlled trial

Author

Periyasamy, Sathesh K., Thangaswamy, Chitra R., Parida, Satyen, and Kundra, Pankaj

Subjects
India
Abstract

Author(s): Sathesh K. Periyasamy [1]; Chitra R. Thangaswamy (corresponding author) [2]; Satyen Parida [2]; Pankaj Kundra [2] INTRODUCTION Internal jugular vein (IJV) cannulation is done by the short-axis out-of-plane (SAOP) [...]

Published
2024
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34. Variability of eclipse timing:the case of V471 Tauri

Author

Kundra, Emil, Hambálek, Ľubomír, Vanaverbeke, Siegfried, Dubovský, Pavol, Logie, Ludwig, Rau, Steve, and Dubois, Franky

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

The post-common envelope binary V471 Tauri has been an object of interest for decades. V471 Tau shows various phenomena due to its evolutionary state and unique properties, e.g. its magnetic accretion and eclipse timing variation (ETV). Previous authors explained the ETVs by different, sometimes contradictory theories. In this paper, we present and analyse the variability of the eclipse timing of this star. We observed V471 Tauri over the last ten years and covered the second cycle of its period variation. Based on our analysis of the presented data, we assess the possible existence of a brown dwarf in this system and derive its orbital parameters. We compare the results of our dynamical modelling to the solution predicted by Applegate-mechanism theories, which have been developed in recent studies. We found that the observed ETV cannot be explained only by the presence of additional components to the binary., Comment: 10 pages, 4 figures, to be published in MNRAS

Published
2022
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35. Revisiting the Transit Timing Variations in the TrES-3 and Qatar-1 systems with TESS data

Author

Mannaday, Vineet Kumar, Thakur, Parijat, Southworth, John, Jiang, Ing-Guey, Sahu, D. K., Mancini, Luigi, Vaňko, M., Kundra, Emil, Gajdoš, Pavol, A-thano, Napaporn, Sariya, Devesh P., Yeh, Li-Chin, Griv, Evgeny, Mkrtichian, David, and Shlyapnikov, Aleksey

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

We present and analyze 58 transit light curves of TrES-3b and 98 transit light curves of Qatar-1b observed by Transiting Exoplanet Survey Satellite (TESS), plus two transit light curves of Qatar-1b observed by us using a ground-based 1.23\,m telescope. These light curves are combined with the best-quality light curves taken from the Exoplanet Transit Database (ETD) and literature. The precisely determined mid-transit times from these light curves enable us to obtain the refined orbital ephemerides with improved precision for both hot Jupiters. From the timing analysis, we find an indication for the presence of transit timing variations (TTVs) in both systems. Since the observed TTVs are unlikely to be short-term and periodic, the possibility of additional planets in the orbits close to TrES-3b and Qatar-1b are ruled out. Possible causes of long-term TTVs such as orbital decay, apsidal precession, the Applegate mechanism and line-of-sight acceleration are also examined. However, none of these possibilities are found to explain the observed TTV of TrES-3b. In contrast to this, the line-of-sight acceleration appears to be a plausible explanation for the observed TTV of Qatar-1b. In order to confirm these findings, further high-precision transit and RV observations of both systems would be worthwhile., Comment: 38 pages, 16 figures, 8 tables, accepted for publication in AJ

Published
2022
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38. Scope of artificial intelligence in airway management

Author

Naik, Naveen B., Mathew, Preethy J., and Kundra, Pankaj

Subjects
Artificial intelligence -- Usage, Anesthesiology -- Technology application, Airway (Medicine) -- Management, Company business management, Artificial intelligence, Technology application, Health
Abstract

The evolution of artificial intelligence (AI) systems in the field of anaesthesiology owes to notable advancements in data processing, databases, algorithmic programs, and computation power. Over the past decades, its accelerated progression has enhanced safety in anaesthesia by improving the efficiency of equipment, perioperative risk assessments, monitoring, and drug administration systems. AI in the field of anaesthesia aims to improve patient safety, optimise resources, and improve the quality of anaesthesia management in all phases of perioperative care. The use of AI is likely to impact difficult airway management and patient safety considerably. AI has been explored to predict difficult intubation to outperform conventional airway examinations by integrating subjective factors, such as facial appearance, speech features, habitus, and other poorly known features. This narrative review delves into the status of AI in airway management, the most recent developments in this field, and its future clinical applications. Keywords: Airway management, algorithmic programmes airway, anaesthesiology, artificial intelligence, intelligence, management, model, Author(s): Naveen B. Naik [1]; Preethy J. Mathew (corresponding author) [1]; Pankaj Kundra [2] INTRODUCTION Artificial intelligence (AI) is a multi-disciplinary branch of computer science that researches and develops technology, [...]

Published
2024
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40. Rapidly rotating stars and their transiting planets: KELT-17b, KELT-19Ab, and KELT-21b in the CHEOPS and TESS era

Author

Garai, Zoltán, Pribulla, Theodor, Kovács, József, Szabó, Gyula M., Claret, Antonio, Komžík, Richard, and Kundra, Emil

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

Rapidly rotating early-type main-sequence stars with transiting planets are interesting in many aspects. Unfortunately, several astrophysical effects in such systems are not well understood yet. Therefore, we performed a photometric mini-survey of three rapidly rotating stars with transiting planets, namely KELT-17b, KELT-19Ab, and KELT-21b, using the Characterising Exoplanets Satellite (CHEOPS), complemented with Transiting Exoplanet Survey Satellite (TESS) data, and spectroscopic data. We aimed at investigating the spin-orbit misalignment and its photometrical signs, therefore the high-quality light curves of the selected objects were tested for transit asymmetry, transit duration variations, and orbital precession. In addition, we performed transit time variation analyses, obtained new stellar parameters, and refined the system parameters. For KELT-17b and KELT-19Ab we obtained significantly smaller planet radius as found before. The gravity-darkening effect is very small compared to the precision of CHEOPS data. We can report only on a tentative detection of the stellar inclination of KELT-21, which is about 60 deg. In KELT-17b and KELT-19Ab we were able to exclude long-term transit duration variations causing orbital precession. The shorter transit duration of KELT-19Ab compared to the discovery paper is probably a consequence of a smaller planet radius. KELT-21b is promising from this viewpoint, but further precise observations are needed. We did not find any convincing evidence for additional objects in the systems., Comment: Accepted for publication in MNRAS

Published
2022
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41. HD 183986: a high-contrast SB2 system with a pulsating component

Author

Vaňko, Martin, Pribulla, Theodor, Gajdoš, Pavol, Budaj, Ján, Zverko, Juraj, Paunzen, Ernst, Garai, Zoltán, Hambálek, Lubomír, Komžík, Richard, and Kundra, Emil

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

There is a small group of peculiar early-type stars on the main sequence that show different rotation velocities from different spectral lines. This inconsistency might be due to the binary nature of these objects. We aim to verify this hypothesis by a more detailed spectroscopic and photometric investigation of one such object: HD 183986. We obtained 151 high and medium resolution spectra that covered an anticipated long orbital period. There is clear evidence of theorbital motion of the primary component. We uncovered a very faint and broad spectrum of the secondary component. The corresponding SB2 orbital parameters, and the component spectra, were obtained by Fourier disentangling using the KOREL code. The component spectra were further modeled by iSpec code to arrive at the atmospheric quantities and the projected rotational velocities. We have proven that this object is a binary star with the period $P$ = 1268.2(11) d, eccentricity $e$ = 0.5728(20), and mass ratio $q$ = 0.655. The primary component is a slowly rotating star ($v \sin i = 27$ km.s$^{-1}$) while the cooler and less massive secondary rotates much faster ($v \sin i \sim 120$ km.s$^{-1}$). Photometric observations obtained by the TESS satellite were also investigated to shed more light on this object. A multi-period photometric variability was detected in the TESS data ranging from hours (the $\delta$ Sct-type variability) to a few days (spots/rotational variability). The physical parameters of the components and the origin of the photometric variability are discussed in more detail., Comment: Accepted to AJ. arXiv admin note: text overlap with arXiv:1307.2553 by other authors. text overlap with arXiv:1307.2553 by other authors

Published
2022
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42. Early Circulating Tumor DNA Shedding Kinetics for Prediction of Platinum Sensitivity in Patients With Small Cell Lung Cancer

Author

Murciano-Goroff, Yonina R., Hui, Angela B.-Y., Araujo Filho, Jose A., Hamilton, Emily G., Chabon, Jacob J., Moding, Everett J., Bonilla, Rene F., Lebow, Emily S., Gomez, Daniel, Rimner, Andreas, Ginsberg, Michelle S., Offin, Michael, Kundra, Ritika, Allaj, Viola, Norton, Larry, Reis-Filho, Jorge S., Razavi, Pedram, Drilon, Alexander, Jones, David R., Isbell, James M., Lai, W. Victoria, Rudin, Charles M., Alizadeh, Ash A., Li, Bob T., and Diehn, Maximilian

Published
2024
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45. Nature-Inspired Techniques for Terrain Features Extraction

Author

Bajaj, Sharad, Kundra, Harish, Kundra, Sheetal, Neha, Nehalika, Agrawal, Suyash, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Saini, H. S., editor, Sayal, Rishi, editor, Govardhan, A., editor, and Buyya, Rajkumar, editor

Published
2023
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46. Assessment of the Local Traditional Knowledge and Practices of Flood Risk Identification Techniques: A Case Study of Nadaro Village, Tailevu, Fiji

Author

Kundra, Sakul, Nabobo-Baba, Unaisi, Kundra, Nakul, Gabriel, Margaret, Alam, Mohammad Afsar, Takiveikata, Sereima, Toga, Katarina, Shaw, Rajib, Series Editor, Panda, Gopal Krishna, editor, Chatterjee, Uday, editor, Bandyopadhyay, Nairwita, editor, Setiawati, Martiwi Diah, editor, and Banerjee, Debarpita, editor

Published
2023
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48. 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, Gujjuri, Rohan R, Jones, Conor S, Harrison, Ewen M, Kamarajah, Sivesh K, Keatley, James M, Lawday, Samuel, Mann, Harvinder, Marson, Ella J, Mclean, Kenneth A, Norman, Lisa, Ots, Riinu, Outani, Oumaima, 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, Cox, Daniel, 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, 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, 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Medina, Antonio, Nunez, Jade, Nashidengo, Pueya Rashid, Shrestha, Ashish Lal, Jonker, Pascal, Kruijff, Schelto, Noltes, Milou, Steinkamp, Pieter, Wright, Deborah, Abdur-Rahman, Lukman, Ademuyiwa, Adesoji, Osinaike, Babatunde, Seyi-Olajide, Justina, Williams, Omolara, Williams, Emmanuel, Pejkova, Sofija, Al Balushi, Zainab, Qureshi, Ahmad Uzair, 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, Minaya Bravo, Ana Maria, Jayarajah, Umesh, Wickramasinghe, Dakshitha, Adam Essa Adam, Mohammed Elmujtba, Rutegård, Martin, Adamina, Michel, Gialamas, Eleftherios, Horisberger, Karoline, Alshaar, Muhammad, Lohsiriwat, Varut, Charles, Shane, 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, Akhbari, Melika, Bhanderi, Shivam, 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, 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Andrés-Asenjo, Beatriz, Tejero-Pintor, Francisco J, Vallve-Bernal, Marc, Vazquez Melero, Alba, Sánchez Blasco, Laura, Escartin, Jorge, Duque Mallén, Victoria, Srishankar, Selvaratnam, Sooriyabandara, Charitha, Basnayake, Oshan, Gunawansa, Nalaka, Weeraddana, Prabuth dulanjan, Vimalakanthan, Thanusan, Gishanthan, Shanthamoorthy, Chandrasinghe, Pramodh, Sauvain, Marc-Olivier, Ghazal, Ahmad, Al-Sabbagh, Yusra, Alhassoun, Turki, Maa Albared, Sara, Naem, Antoine, Alnahr, Hareth, Jisry, Ghassan, Hammed, Ali, Francis Xaviour, Okedi, Turinawe, Gaston, Mubezi, Isaac, Sikakulya, Franck K., Kakeeto, Andrew, Kabweru, Dr. Wilberforce M., Kiweewa, Ronald, Matovu, Paul, Isaac, Otolia, Mashhour, Mohamed, El Helw, Amin, Mohamed, Awadelkarim, Abbas, Ferial Mohamed Ali, Mohammed, Diary, Aldlyami, Ehab, Kundra, Rakesh, Michael, Antony Louis Rex, Khalil, Kareem S., Dbeis, Rachel, Shaikh, Shafaque, Ferry, Jenny, Jamal, Aiman, Siddique, Haleema, Das, Rishi, Ponugoti, Nikhil, Rattanasirivilai, Pornjittra, 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Olson, Kristofor A., Etchill, Eric, Hirji, Sameer, Naunheim, Matthew, Drake, Frederick, Reinke, Caroline, Alecci, Anna, Vaysburg, Dennis, Rodriquez, Jennifer, Shih, Emily, Ban, Vin Shen, Coleman, Julia, Kaups, Krista, Giorgakis, Emmanouil, DiNome, Maggie, Bhutiani, Neal, Aiken, Taylor, Diehl, Thomas, Gosain, Ankush, Rattan, Rishi, Ghani, Muhammad Owais Abdul, Ruzgar, Nensi Melissa, Liveris, Anna, Glass, Nina, Paranjape, Charu, Chin, Theresa, Meola, Antonio, Nicholson, Kristina, Squiers, John, Lueckel, Stephanie, Reisenauer, Janani, Callcut, Rachael, Mansour, Ahmed, Berndtson, Allison, Kornblith, Lucy, Seegert, Sara, Martins, Paulo, Al-Shehari, Mohammed, Al-Raimi, Ibrahim, Ngulube, Allan, Siamuchembu, Maphios, Mushiwokufa, Willard, Mlambo, Busisiwe, Chinyowa, Simbarashe, Bollano, Enton, Zijaj, Lorena, Fatima zohra, Belabbes, Bali, Oussama, Benallel, Nassim, Abdoun, Meriem, Bouchenak, Kamel, Soualili, Zineddine, Bastet, Joaquin, Capitaine, Daniel, Centeno Lozada, Jorge, Esquivel, Carlos, 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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, 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, 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, Ibrahim, Adem, Mekete, Alem, Mohammed, Adnan Abdulkadir, Abdullahi, Yasir Younis, Adem, Ephrem, Siyoum, Eneyew Getachew, Zeleke, Ewunetu, Degefe, Derje Worku, 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, Marion, Herjean, Trilling, Bertrand, Boleslawski, Emmanuel, Noiret, Barbara, Aubry, Estelle, Christou, Niki, Usseglio, Julie, Denis, Waast, Regenet, Nicolas, Rigaud, Jerome, Anract, Philippe, Dohan, Anthony, Cazelles, Antoine, Chamouni, Alexandre, Karoui, Mehdi, Mejean, Arnaud, Thouement, Clermidi, Pauline, 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, Frasca, Denis, Livin, Marie, Mahmoud, Fedy, Sulpice, Laurent, Cazemajou, Clément Thierry, Nyangoh Timoh, Krystel, Renault, Annaëlle, Cherkaoui, Zineb, Vix, Michel, Gornes, Hugo, Berthoumieu, Pierre, Pierre, Trocard, Del, Mathilde, Vancon, Antoine, Machemedze, Solomon, Muhemi, Roger, Ndizeye, Olivier, O’Connor, Jennifer, Tchoba, Simplice, 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, Horn, Julian, Egger, Eva, Enderes, Jana, Strieth, Sebastian, Treede, Hendrik, Wittmann, Maria, Marche, Benedikt, Schulz, Sissy-Amelie, Fuchs, Hans, Meisel, Cornelia, Petzold, Andrea, Knoefel, Wolfram Trudo, Solodarenko, Oleksandra, Grützmann, Robert, Hackner, Danilo, Faqar-Uz-Zaman, Sara Fatima, Fung, Christian, Leiber, Christian, Neidert, Nicolas, Sandkamp, Richard, Strähle, Jakob, Becker, Johannes, Gonschor, Bernhard, Herbolzheimer, Marit, Hecker, Matthias, Reichert, Martin, Sander, Michael, Schmidt, Götz, Schneck, Emmanuel, Kleeff, Jorg, Lorenz, Kerstin, 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, Qureischie, Homeira, Meyer, Frank, Turial, Salmai, Al-Nawas, Bilal, Battista, Marco Johannes, Heider, Julia, Mueller, Lena Katharina, Jentschura, Sina- Louisa Patrizia, Kowalewski, Karl-Friedrich, Reissfelder, Christoph, Rotter, Nicole, Scherl, Claudia, Seyfried, Steffen, Fichter, Andreas, 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, Hölz, Katharina, Prantl, Lukas, Kröger, Marie, Niemeier, Andreas, Sras, Yara, Steidle, Christoph, Dayan, Davut, Greve, Jens, Löbig, Niklas, Schochter, Fabienne, Wezel, Felix, 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, 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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, 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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, Bajpai, Minu, Farooque, Kamran, Parshad, Rajinder, Sharma, Vijay, Bansal, Kuldeep, Bhardwaj, Rohit, Mittal, Abhishek, Ponnusamy, Sabarirajan, Himani, Gadekar, Anup, Panjwani, Taufiq, Kandwal, Pankaj, Kumar, Shashank, Poonia, Dharma Ram, Sadhasivam, Saravanan, Choudhury, Yousuf, Das, Devishmita, Goala, Subhadra, Singha, S Thoibisana, Singha, Damayanti, 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, 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, Ali Moazami Pour, Gholamreza Azarnia, Alizadeh, Narges, Hossein Mokarami, Tehrani, Shahrzad, Alborzi, Majid, Bagheri, Hamed, Eshraghi, Mohsen, Fatemi manesh, Hassan, Hejazi, Seyed fakhreddin, Pezeshki Modarres, Mahdi, Shafiee, Ali, Vafaeimanesh, 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Muhammad assam, Sugrue, Michael, Varzgalis, Manvydas, Jones-Whiting, Larne, Lim, Seantee, 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, 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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, 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, Kuratani, Norifumi, Takada, Misa, Noro, Shusaku, 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, Alrabadi, Mera, Owais, Qais, Smadi, Aseel, Abunawas, Huthifa, Alhawatmeh, Mohammad, Alwardat, Abdel Rahman Mohannad Ahmad, Dhoon, Slsabela, Jaradat, Enas, Mubaydeen, Teeba, Alzraikat, Sayel H., Suradi, Haya H., Al Abdallah, Murad, Al Bdour, Zakaria, Al-thaher, Mohammad, Alnajjar, Tareq, AlZaatreh, Mohammad, 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, Shorman, Marwan, Nofal, Sandra, Salameh, Mohammed, Sanjuq, Ghaidaa, Sharabi, Alaa, Sweiti, Alaa, Baninasr, Eman, 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, 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, Alzoubi, Mai, Alzoubi, Malak, Hussein, Hasan, Rawashdeh, Shireen, Ababneh, Adnan, Abu-Eisheh, Basil, Al Shurman, Hana’, Al-atiyah, Hussam, Aljaiuossi, Anas, Hamdoni, Sara, Sakhov, Orazbek, Tanabayeva, Shynar, 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, 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Besselink, Marc, van Amstel, Paul, Smeele, Ludi, Harlaar, Niels, van der Burg, Sjirk, Franken, Josephine, Oosterling, Steven, Nolte, Peter, Alwayn, Ian, Braat, Andries, Goudsmit, Ben, van de Leemkolk, Fenna E.M., Albers, Kim, Van Goor, Harry, van Ginhoven, Tessa M., Schweitzer, Donald, Leclercq, Wouter, Vancoillie, Peter-Jan, Konsten, Joop, den Boer, Frank, Djamali, Kaveh, Ghamri, Naji, Joseph, Reece, Lie, Samuel, Olliff, Sue, Wood, Daniel, Furkert, Chris, Lim, Eric, Mclauchlan, Jared, Ailabouni, Ramez, Alqassab, Mohammed, Hawkins, Robyn, Baker, Joseph, Ou, Cindy Xin Yi, Singh, Vidit, Frunt, Brytt, Lakshman, Prashant, Henderson, Nigel, Haimona, Maira, Jury, Steffanie, Weeratunga, George, Witcomb Cahill, Henry, Abdussalam, Hameedat Opeyemi, Ahmed, Aminat Olayinka, Adeyeye, Ademola, Kayode-Nissi, Victor, Kadiri, Innih, Oduah, Stella, Abdull, Mohammed, Abdullahi, Mohammed Kabir, Ja’afar, Abubakar Bappah, Ja’afaru, Umma Hani, Yakubu Mohammed, Husseini, Edetanlen, Ekaniyere, Iribhogbe, 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Khan, Muhammad Osama, Kumari, Sameeta, Malik, Muhammad Jehangir, Mansoor, Maheen, Mubarik, Areeba, Naz, Falak, Qamar, Javeria Bilal, Sadia, Haleema, Safri, Mohammad, Sattar, abida K., Siddiqui, Muhammad Ahsan Iqbal, Waqar, Usama, Ghufran, Muhammad Ali, Memon, Amjad Siraj, Samo, Khursheed Ahmed, Aswani, Manisha, Manzoor, Shahneela, Muhammad, Shoaib, Moin, Inshrah, Najjad, Muhammad Kazim Rahim, Zia, Kashif, Ali Shaikh, Shafqat, Hussaini, Dr, Kamal, Wajahat, Mughal, Zeeshan Uddin, Nadeem, Areeba, Nayyer, Fatima, Nisa, Kanwal, Rauf, Yaseen, Saleem, Shah Masabat, Shah, Aaqil, Siddiqui, Safia, Tariq, Nida, Zamir, Mehroz, Hafiz Muhammad Arif, Ahmed, Ehsan, Ahmed, Jawad, Akbar, Bilal, Ali, Abrar Ashraf, Iqbal, Zafar, Jameel, Muhammad Khurram, Janjua, Muhammad Haris, Janjua, Azwa, Naqi, Syed Asghar, Naumeri, Fatima, Nazir, Umer, Rafi, Yaseen, Saleem, Irfan, Shaukat, Ayesha, Sikandar, Hafiz Saqib, Tu zahara, Fatima, Ali, Ahsan, Jawad, Muhammad, Noman, Hamza, Taha, Dr Hassan, Dr. Gul e Raana, 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Perez, Raquel, Marco Garrido, Alfonso, Medina, Esther, Onate, Julian, Peña Ros, Emilio, Sanchez Rodriguez, Carlos, Valero Soriano, María, Yepes García, María Teresa, Conesa, Ana, Delegido García, Ana, Gómez Valles, Paula, Martínez, Francisco, Gómez Viana, Leticia, García Flórez, Luis Joaquín, Suárez Sánchez, Aida, Concepcion, Aguirre, Asier, Alomar Bofill, Marta, Baena, Santiago, Castro Suárez, Marta, Cifuentes Rodenas, José Andrés, Mata, Javier, Morell, Andreu, Pagès, Naila, Rodriguez Vaquero, Leticia, Santos Cidon, Pilar, Soler Pedrola, Maria, Tasende, Marta, Segura-Sampedro, Juan José, Tello Galindo, Isabel, Cámara Cabrera, Jaume, de la Rosa-Estadella, Marta, Molina-Corbacho, Matilde, Santos Espí, Marta, Diego-Alonso, Elisa Angela, Aguinagalde, Borja, Andres Imaz, Ainhoa, Armendariz, Mikel, Arrabal, Lorena, Augusto, Iñigo, Cuevas, Ainhoa, Elúa, Alejandro, Gallego, Lander, Garmendia, Gregorio, Grañén, Carmen, Iraola, Maria, Lizarbe, Jon Ander, Lopes Moreira, Claudia Cristina, Pastor, 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Al-ameri, Saba, Al-surimi, Dhyia Alhuq, Alakhdury, Amira, ALhumaida, Adnan, Aljabri, Maniee, ALodine, Marwa, Alqudaimi, Basma, Alsabri, Mohammed, Alsayadi, Musaed, Atiah, Nora, Sayad, Shaima, Shukri, Amal, Zeid, Shahd, Abdullah, Nabila, Al-Garadi, Abdulrahman Faisal, Ali Al-Radhi, Ahmed M., Naji, Norhan, Al-madhrahi, Ahmed, Al-maswari, Sakhr Abdulhakeem, Alshargabi, Haneen, Mkandawire, Catherine, Nkole, Theresa, Chivanga, Shelton, Dube, Handsome, Mangena, Moses, Moyo, Nkosikhona, Tshuma, Oltah, Gwini, Grace, Moyana Muguto, Vimbai, Mushawarima, Trust, Shoko, Tinashe, Jamela, Rorisang, Machiri, Marvellous, Chimhina, Maxwell, Glasbey, James, AlAmeer, Ehab, Griffiths, Ewen A, Lawani, Ismail, Leventoglu, Sezai, McLean, Kenneth, Modolo, Maria, Moore, Rachel, Morton, Dion, Ntirenganya, Faustin, Kottayasamy Seenivasagam, Rajkumar, Simões, Joana Filipa Ferreira, Stewart, Grant D, Sullivan, Richard, Sundar, Sudha, Siaw-Acheampong, Kwabena, Benson, Ruth A, Bywater, Edward, Evans, Jonathan P, 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