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

2,725 results on '"KULCSAR A"'

1. Robust $H_{\infty}$ Position Controller for Steering Systems

Author: Chugh, Tushar, Bruzelius, Fredrik, and Kulcsár, Balázs
Subjects: Electrical Engineering and Systems Science - Systems and Control, Electrical Engineering and Systems Science - Signal Processing
Abstract: This paper presents a robust position controller for electric power assisted steering and steer-by-wire force-feedback systems. A position controller is required in steering systems for haptic feedback control, advanced driver assistance systems and automated driving. However, the driver's \textit{physical} arm impedance causes an inertial uncertainty during coupling. Consequently, a typical position controller, i.e., based on single variable, becomes less robust and suffers tracking performance loss. Therefore, a robust position controller is investigated. The proposed solution is based on the multi-variable concept such that the sensed driver torque signal is also included in the position controller. The subsequent solution is obtained by solving the LMI$-H_{\infty}$ optimization problem. As a result, the desired loop gain shape is achieved, i.e., large gain at low frequencies for performance and small gain at high frequencies for robustness. Finally, frequency response comparison of different position controllers on real hardware is presented. Experiments and simulation results clearly illustrate the improvements in reference tracking and robustness with the proposed $H_\infty$ controller., Comment: 11 pages, 9 figures, journal paper
Published: 2024

2. Upgrading SPHERE with the second stage AO system SAXO+: frequency-based data-driven controller for adaptive optics

Author: Dinis, Isaac, Wildi, François, Ségransan, Damien, Gupta, Vaibhav, Karimi, Alireza, Tallon, Michel, Bosc, Isabelle, Langlois, Maud, Loupias, Magali, Bechet, Clémentine, Thiébaut, Eric, Goulas, Charles, Ferreira, Florian, Boccaletti, Anthony, Vidal, Fabrice, Kulcsar, Caroline, Raynaud, Henri-François, Galland, Nicolas, Kasper, Markus, Milli, Julien, Mouillet, David, Schreiber, Laura, Diolaiti, Emiliano, Gratton, Raffaele, and Chauvin, Gael
Subjects: Electrical Engineering and Systems Science - Systems and Control, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: This study introduces a novel frequency-based data-driven controller for adaptive optics, using power spectral density for optimization while ensuring stability criteria. It addresses disturbance rejection, command amplitude constraints and system transfer functions through convex optimization to obtain an optimal control in an infinite input response filter form. Evaluated within the SAXO+ project, it demonstrates efficacy under diverse atmospheric conditions and operational scenarios. The proposed controller is tested in both standard and disentangled adaptive optics schemes, showcasing its adaptability and performance. Experimental validation is conducted using the COMPASS simulation tool, affirming the controller's promise for enhancing adaptive optics systems in real-world applications.
Published: 2024
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3. The MICADO first light imager for the ELT: overview and current Status

Author: Sturm, E., Davies, R., Alves, J., Clénet, Y., Kotilainen, J., Monna, A., Nicklas, H., Pott, J. -U., Tolstoy, E., Vulcani, B., Achren, J., Annadevara, S., Anwand-Heerwart, H., Arcidiacono, C., Barboza, S., Barl, L., Baudoz, P., Bender, R., Bezawada, N., Biondi, F., Bizenberger, P., Blin, A., Boné, A., Bonifacio, P., Borgo, B., Born, J. van den, Buey, T., Cao, Y., Chapron, F., Chauvin, G., Chemla, F., Cloiseau, K., Cohen, M., Collin, C., Czoske, O., Dette, J. -O., Deysenroth, M., Dijkstra, E., Dreizler, S., Dupuis, O., van Egmond, G., Eisenhauer, F., Elswijk, E., Emslander, A., Fabricius, M., Fasola, G., Ferreira, F., Schreiber, N. M. Förster, Fontana, A., Gaudemard, J., Gautherot, N., Gendron, E., Gennet, C., Genzel, R., Ghouchou, L., Gillessen, S., Gratadour, D., Grazian, A., Grupp, F., Guieu, S., Gullieuszik, M., de Haan, M., Hartke, J., Hartl, M., Haussmann, F., Helin, T., Hess, H. -J., Hofferbert, R., Huber, H., Huby, E., Huet, J. -M., Ives, D., Janssen, A., Jaufmann, P., Jilg, T., Jodlbauer, D., Jost, J., Kausch, W., Kellermann, H., Kerber, F., Kravcar, H., Kravchenko, K., Kulcsár, C., Kunkarayakti, H., Kunst, P., Kwast, S., Lang, F., Lange, J., Lapeyrere, V., Ruyet, B. Le, Leschinski, K., Locatelli, H., Massari, D., Mattila, S., Mei, S., Merlin, F., Meyer, E., Michel, C., Mohr, L., Montargès, M., Müller, F., Münch, N., Navarro, R., Neumann, U., Neumayer, N., Neumeier, L., Pedichini, F., Pflüger, A., Piazzesi, R., Pinard, L., Porras, J., Portaluri, E., Przybilla, N., Rabien, S., Raffard, J., Raggazoni, R., Ramlau, R., Ramos, J., Ramsay, S., Raynaud, H. -F., Rhode, P., Richter, A., Rix, H. -W., Rodenhuis, M., Rohloff, R. -R., Romp, R., Rousselot, P., Sabha, N., Sassolas, B., Schlichter, J., Schuil, M., Schweitzer, M., Seemann, U., Sevin, A., Simioni, M., Spallek, L., Sönmez, A., Suuronen, J., Taburet, S., Thomas, J., Tisserand, E., Vaccari, P., Valenti, E., Kleijn, G. Verdoes, Verdugo, M., Vidal, F., Wagner, R., Wegner, M., van Winden, D., Witschel, J., Zanella, A., Zeilinger, W., Ziegleder, J., and Ziegler, B.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: MICADO is a first light instrument for the Extremely Large Telescope (ELT), set to start operating later this decade. It will provide diffraction limited imaging, astrometry, high contrast imaging, and long slit spectroscopy at near-infrared wavelengths. During the initial phase operations, adaptive optics (AO) correction will be provided by its own natural guide star wavefront sensor. In its final configuration, that AO system will be retained and complemented by the laser guide star multi-conjugate adaptive optics module MORFEO (formerly known as MAORY). Among many other things, MICADO will study exoplanets, distant galaxies and stars, and investigate black holes, such as Sagittarius A* at the centre of the Milky Way. After their final design phase, most components of MICADO have moved on to the manufacturing and assembly phase. Here we summarize the final design of the instrument and provide an overview about its current manufacturing status and the timeline. Some lessons learned from the final design review process will be presented in order to help future instrumentation projects to cope with the challenges arising from the substantial differences between projects for 8-10m class telescopes (e.g. ESO-VLT) and the next generation Extremely Large Telescopes (e.g. ESO-ELT). Finally, the expected performance will be discussed in the context of the current landscape of astronomical observatories and instruments. For instance, MICADO will have similar sensitivity as the James Webb Space Telescope (JWST), but with six times the spatial resolution., Comment: Proceedings of the SPIE, Volume 13096, id. 1309611 11 pp. (2024)
Published: 2024
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4. A GREAT Architecture for Edge-Based Graph Problems Like TSP

Author: Lischka, Attila, Wu, Jiaming, Chehreghani, Morteza Haghir, and Kulcsár, Balázs
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract: In the last years, many neural network-based approaches have been proposed to tackle combinatorial optimization problems such as routing problems. Many of these approaches are based on graph neural networks (GNNs) or related transformers, operating on the Euclidean coordinates representing the routing problems. However, GNNs are inherently not well suited to operate on dense graphs, such as in routing problems. Furthermore, models operating on Euclidean coordinates cannot be applied to non-Euclidean versions of routing problems that are often found in real-world settings. To overcome these limitations, we propose a novel GNN-related edge-based neural model called Graph Edge Attention Network (GREAT). We evaluate the performance of GREAT in the edge-classification task to predict optimal edges in the Traveling Salesman Problem (TSP). We can use such a trained GREAT model to produce sparse TSP graph instances, keeping only the edges GREAT finds promising. Compared to other, non-learning-based methods to sparsify TSP graphs, GREAT can produce very sparse graphs while keeping most of the optimal edges. Furthermore, we build a reinforcement learning-based GREAT framework which we apply to Euclidean and non-Euclidean asymmetric TSP. This framework achieves state-of-the-art results., Comment: 15 pages, 7 figures
Published: 2024

5. Numerical simulations for the SAXO+ upgrade: Performance analysis of the adaptive optics system

Author: Goulas, Charles, Galicher, Raphaël, Vidal, Fabrice, Mazoyer, Johan, Ferreira, Florian, Sevin, Arnaud, Boccaletti, Anthony, Gendron, Eric, Béchet, Clémentine, Tallon, Michel, Langlois, Maud, Kulcsár, Caroline, Raynaud, Henri-François, Galland, Nicolas, Schreiber, Laura, Dinis, Isaac Bernardino, Wildi, François, Chauvin, Gaël, and Milli, Julien
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: SPHERE, operating at the VLT since 2014, is currently one of the high-contrast instruments with a higher performance. Its adaptive optics system, known as SAXO, will be upgraded to SAXO+, which features the addition of a second stage of adaptive optics. This stage will use a near-infrared pyramid wavefront sensor to record images of fainter exoplanets around redder stars. In this work, we compare the performance of SAXO and SAXO+. We look for the optimal values of the key system parameters of SAXO+ for various science cases and turbulence conditions. We performed numerical simulations using COMPASS, an end-to-end adaptive optics simulation tool. We simulated perfect coronagraph images of an on-axis point source, and we minimized the residual starlight intensity between 3 and 5 ${\lambda}/D$ as a performance criterion. The explored parameter space includes science cases, turbulence conditions, and key system parameters. In every science case and turbulence condition, SAXO+ reduces the residual starlight intensity inside the correction zone of the second stage by a factor of ten compared to SAXO. The optimal first stage gain is lower for SAXO+ than for SAXO alone. We quantified the gain in performance of SAXO+ when changing the second stage frequency from 2 kHz to 3 kHz, and we conclude that 2 kHz may be sufficient for most realistic conditions. We give the optimal first stage gain as well as the first and second stage frequencies for every seeing, coherence time, and science case. Finally, we find that a 2 ${\lambda_{\mathrm{WFS}}}/D$ pyramid modulation radius is a good trade-off between performance and robustness against varying turbulence conditions. This study shows that the future SAXO+ system will outperform the current SAXO system in all studied cases., Comment: 14 pages, 11 figures
Published: 2024
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6. Minimum-Delay Opportunity Charging Scheduling for Electric Buses

Author: McCabe, Dan, Xuegang, Ban, and Kulcsar, Balazs
Subjects: Mathematics - Optimization and Control
Abstract: Transit agencies that operate battery-electric buses must carefully manage fast-charging infrastructure to extend daily bus range without degrading on-time performance. To support this need, we propose a mixed-integer linear programming model to schedule opportunity charging that minimizes the amount of departure delay in all trips served by electric buses. Our novel approach directly tracks queuing at chargers in order to set and propagate departure delays. Allowing but minimizing delays makes it possible to optimize performance when delays due to traffic conditions and charging needs are inevitable, in contrast with existing methods that require charging to occur during scheduled layover time. To solve the model, we develop two algorithms based on decomposition. The first is an exact solution method based on Combinatorial Benders (CB) decomposition, which avoids directly enumerating the model's logic-based "big M" constraints and their inevitable computational challenges. The second, inspired by the CB approach but more efficient, is a polynomial-time heuristic based on linear programming that we call 3S. Computational experiments on both a simple notional transit network and the real bus system of King County, Washington, USA demonstrate the performance of both methods. The 3S method appears particularly promising for creating good charging schedules quickly at real-world scale.
Published: 2024

7. Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP

Author: Lischka, Attila, Wu, Jiaming, Basso, Rafael, Chehreghani, Morteza Haghir, and Kulcsár, Balázs
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract: Most of the recent studies tackling routing problems like the Traveling Salesman Problem (TSP) with machine learning use a transformer or Graph Neural Network (GNN) based encoder architecture. However, many of them apply these encoders naively by allowing them to aggregate information over the whole TSP instances. We, on the other hand, propose a data preprocessing method that allows the encoders to focus on the most relevant parts of the TSP instances only. In particular, we propose graph sparsification for TSP graph representations passed to GNNs and attention masking for TSP instances passed to transformers where the masks correspond to the adjacency matrices of the sparse TSP graph representations. Furthermore, we propose ensembles of different sparsification levels allowing models to focus on the most promising parts while also allowing information flow between all nodes of a TSP instance. In the experimental studies, we show that for GNNs appropriate sparsification and ensembles of different sparsification levels lead to substantial performance increases of the overall architecture. We also design a new, state-of-the-art transformer encoder with ensembles of attention masking. These transformers increase model performance from a gap of $0.16\%$ to $0.10\%$ for TSP instances of size 100 and from $0.02\%$ to $0.00\%$ for TSP instances of size 50., Comment: 14 pages, 6 figures
Published: 2024

8. Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach

Author: Bae, Sangjun, Kulcsar, Balazs, and Gros, Sebastien
Subjects: Electrical Engineering and Systems Science - Systems and Control, Computer Science - Computer Science and Game Theory
Abstract: With the increasing number of fast-electric vehicle charging stations (fast-EVCSs) and the popularization of information technology, electricity price competition between fast-EVCSs is highly expected, in which the utilization of public and/or privacy-preserved information will play a crucial role. Self-interest electric vehicle (EV) users, on the other hand, try to select a fast-EVCS for charging in a way to maximize their utilities based on electricity price, estimated waiting time, and their state of charge. While existing studies have largely focused on finding equilibrium prices, this study proposes a personalized dynamic pricing policy (PeDP) for a fast-EVCS to maximize revenue using a reinforcement learning (RL) approach. We first propose a multiple fast-EVCSs competing simulation environment to model the selfish behavior of EV users using a game-based charging station selection model with a monetary utility function. In the environment, we propose a Q-learning-based PeDP to maximize fast-EVCS' revenue. Through numerical simulations based on the environment: (1) we identify the importance of waiting time in the EV charging market by comparing the classic Bertrand competition model with the proposed PeDP for fast-EVCSs (from the system perspective); (2) we evaluate the performance of the proposed PeDP and analyze the effects of the information on the policy (from the service provider perspective); and (3) it can be seen that privacy-preserved information sharing can be misused by artificial intelligence-based PeDP in a certain situation in the EV charging market (from the customer perspective).
Published: 2023

9. Incremental Exponential Stability of the Unidirectional Flow Model

Author: Wiersdalen, Sondre, Pereira, Mike, Lang, Annika, Szederkenyi, Gabor, Auriol, Jean, and Kulcsar, Balazs
Subjects: Electrical Engineering and Systems Science - Systems and Control, Mathematics - Dynamical Systems
Abstract: Incremental stability is assessed for the Unidirectional Flow Model, which describes the flow of a conserved quantity in a cascade of compartments. The model is governed by a cooperative system of nonlinear ordinary differential equations with a right-hand side that depends on an input function. Suitable conditions are given on the input function such that the solutions to the model converge to each other at an exponential rate. Milder conditions, compared with the latter, are given such that the solutions to the model converge to each other asymptotically. These conditions are related to inflow-connected and outflow-connected compartmental systems and are easy to check. Computational means to estimate the exponential rate are given and tested against numerical solutions of the model. A natural application of incremental stability is state estimation, demonstrated in the numerical experiments, put into a traffic flow context.
Published: 2023

10. On variants of multivariate quantum signal processing and their characterizations

Author: Németh, Balázs, Kövér, Blanka, Kulcsár, Boglárka, Miklósi, Roland Botond, and Gilyén, András
Subjects: Quantum Physics, Electrical Engineering and Systems Science - Systems and Control, Mathematics - Algebraic Geometry, Mathematics - Complex Variables
Abstract: Quantum signal processing (QSP) is a highly successful algorithmic primitive in quantum computing which leads to conceptually simple and efficient quantum algorithms using the block-encoding framework of quantum linear algebra. Multivariate variants of quantum signal processing (MQSP) could be a valuable tool in extending earlier results via implementing multivariate (matrix) polynomials. However, MQSP remains much less understood than its single-variate version lacking a clear characterization of "achievable" multivariate polynomials. We show that Haah's characterization of general univariate QSP can be extended to homogeneous bivariate (commuting) quantum signal processing. We also show a similar result for an alternative inhomogeneous variant when the degree in one of the variables is at most 1, but construct a counterexample where both variables have degree 2, which in turn refutes an earlier characterization proposed / conjectured by Rossi and Chuang for a related restricted class of MQSP. Finally, we describe homogeneous multivariate (non-commuting) QSP variants that break away from the earlier two-dimensional treatment limited by its reliance on Jordan-like decompositions, and might ultimately lead to the development of novel quantum algorithms., Comment: 17 pages
Published: 2023

11. Adaptive Optics Telemetry Standard: Design and specification of a novel data exchange format

Author: Gomes, Tiago, Correia, Carlos M., Bardou, Lisa, Cetre, Sylvain, Kolb, Johann, Kulcsár, Caroline, Leroux, François, Morris, Timothy, Morujão, Nuno, Neichel, Benoît, Beuzit, Jean-Luc, and Garcia, Paulo
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: The amount of Adaptive Optics (AO) telemetry generated by VIS/NIR ground-based observatories is ever greater, leading to a growing need for a standardised data exchange format to support performance analysis and AO research and development activities that involve large-scale telemetry mining, processing, and curation. This paper introduces the Adaptive Optics Telemetry (AOT) data exchange format as a standard for sharing AO telemetry from visible/infrared ground-based observatories. AOT is based on the Flexible Image Transport System (FITS) and aims to provide unambiguous and consistent data access across various systems and configurations, including natural and single/multiple laser guide-star AO systems. We designed AOT focused on two key use cases: atmospheric turbulence parameter estimation and point-spread function reconstruction (PSF-R). We prototyped and tested the design using existing AO telemetry datasets from multiple systems: single conjugate with natural and laser guide stars, tomographic systems with multi-channel wavefront sensors, single and multi wavefront correctors in systems featuring either a Shack-Hartmann or Pyramid as main wavefront sensors. The AOT file structure has been thoroughly defined, specifying data fields, descriptions, data types, units, and expected dimensions. To support this format, we have developed a Python package that enables data conversion, reading, writing and exploration of AOT files, which has been made publicly available and compatible with a general-purpose Python package manager. We demonstrate the flexibility of the AOT format by packaging data from five different instruments, installed on different telescopes.
Published: 2023
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12. Intravoxel incoherent motion imaging in stroke infarct core and penumbra is related to long-term clinical outcome

Author: Zimmermann, Josua, Reolon, Beno, Michels, Lars, Nemeth, Bence, Gorup, Dunja, Barbagallo, Massimo, Bellomo, Jacopo, van Niftrik, Bas, Sebök, Martina, Stumpo, Vittorio, Wegener, Susanne, Fierstra, Jorn, Kulcsar, Zsolt, Stippich, Christoph, Luft, Andreas R., Piccirelli, Marco, and Schubert, Tilman
Published: 2024
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13. Type I interferon signaling induces melanoma cell-intrinsic PD-1 and its inhibition antagonizes immune checkpoint blockade

Author: Holzgruber, Julia, Martins, Christina, Kulcsar, Zsofi, Duplaine, Alexandra, Rasbach, Erik, Migayron, Laure, Singh, Praveen, Statham, Edith, Landsberg, Jennifer, Boniface, Katia, Seneschal, Julien, Hoetzenecker, Wolfram, Berdan, Emma L., Ho Sui, Shannan, Ramsey, Matthew R., Barthel, Steven R., and Schatton, Tobias
Published: 2024
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14. SAXO+ upgrade : second stage AO system end-to-end numerical simulations

Author: Goulas, Charles, Vidal, Fabrice, Galicher, Raphaël, Mazoyer, Johan, Ferreira, Florian, Sevin, Arnaud, Boccaletti, Anthony, Gendron, Éric, Béchet, Clémentine, Tallon, Michel, Langlois, Maud, Kulcsár, Caroline, Raynaud, Henri-François, Galland, Nicolas, Schreiber, Laura, Chauvin, Gaël, and Milli, Julien
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: SAXO+ is a proposed upgrade to SAXO, the AO system of the SPHERE instrument on the ESO Very Large Telescope. It will improve the capabilities of the instrument for the detection and characterization of young giant planets. It includes a second stage adaptive optics system composed of a dedicated near-infrared wavefront sensor and a deformable mirror. This second stage will remove the residual wavefront errors left by the current primary AO loop (SAXO). This paper focuses on the numerical simulations of the second stage (SAXO+) and concludes on the impact of the main AO parameters used to build the design strategy. Using an end-to-end AO simulation tool (COMPASS), we investigate the impact of several parameters on the performance of the AO system. We measure the performance in minimizing the star residuals in the coronagraphic image. The parameters that we study are : the second stage frequency, the photon flux on each WFS, the first stage gain and the DM number of actuators of the second stage. We show that the performance is improved by a factor 10 with respect to the current AO system (SAXO). The optimal second stage frequency is between 1 and 2 kHz under good observing conditions. In a red star case, the best SAXO+ performance is achieved with a low first stage gain of 0.05, which reduces the first stage rejection., Comment: 10 pages, 8 figures. Submitted to AO4ELT7 conference proceedings
Published: 2023

15. Collaborative electric vehicle routing with meet points

Author: Zhou, Fangting, Arvidsson, Ala, Wu, Jiaming, and Kulcsar, Balazs
Subjects: Mathematics - Optimization and Control
Abstract: In this paper, we develop a profit-sharing-based optimal routing mechanism to incentivize horizontal collaboration among urban goods distributors. This paper investigates a collaborative routing problem for urban logistics, in which the exchange of goods at meet points is optimally planned en route. We show that collaboration does not only reduce the total cost but also increases the profit of each company by sharing some customers and the related profit. Hence, we focus on solving a collaborative electric vehicle routing problem under constraints such as customer-specific time windows, opportunity charging, vehicle capacity, and meet-point synchronization. The proposed Collaborative Electric Vehicle Routing Problem with Meet Point (CoEVRPMP) is modeled as a mixed-integer nonlinear programming problem. We first present an exact method for optimal benchmarks via decomposition. To handle real-world problems, we suggest using a metaheuristic method: adaptive large neighborhood search with linear programming. The viability and scalability of the collaborative method are demonstrated via numerical case studies: (i) a real-world case of two grocery stores in the city of Gothenburg, Sweden, and (ii) a large-scale experiment with 500 customers. The results underline the importance of horizontal collaboration among delivery companies. Collaboration helps to reduce the environmental footprint (total energy consumed) and to increase the individual company's profit at the same time., Comment: 29 pages, 11 figures
Published: 2023

16. Integrated Charging Scheduling and Operational Control for an Electric Bus Network

Author: Lacombe, Rémi, Murgovski, Nikolce, Gros, Sébastien, and Kulcsár, Balázs
Subjects: Electrical Engineering and Systems Science - Systems and Control
Abstract: The last few years have seen the massive deployment of electric buses in many existing transit networks. However, the planning and operation of an electric bus system differ from that of a bus system with conventional vehicles, and some key problems have not yet been studied in the literature. In this work, we address the integrated operational control and charging scheduling problem for a network of electric buses with a limited opportunity charging capacity. We propose a hierarchical control framework to solve this problem, where the charging and operational decisions are taken jointly by solving a mixed-integer linear program in the high-level control layer. Since this optimization problem might become very large as more bus lines are considered, we propose to apply Lagrangian relaxation in such a way as to exploit the structure of the problem and enable a decomposition into independent subproblems. A local search heuristic is then deployed in order to generate good feasible solutions to the original problem. This entire Lagrangian heuristic procedure is shown to scale much better on transit networks with an increasing number of bus lines than trying to solve the original problem with an off-the-shelf solver. The proposed procedure is then tested in the high-fidelity microscopic traffic environment Vissim on a bus network constructed from an openly available dataset of the city of Chicago. The results show the benefits of combining the charging scheduling decisions together with the real-time operational control of the vehicles as the proposed control framework manages to achieve both a better level of service and lower charging costs over control baselines with predetermined charging schedules., Comment: 29 pages, 9 figures
Published: 2023

17. Cytotoxic lesions of the corpus callosum: a systematic review

Author: Moors, Selina, Nakhostin, Dominik, Ilchenko, Dariya, Kulcsar, Zsolt, Starkey, Jay, Winklhofer, Sebastian, and Ineichen, Benjamin V.
Published: 2024
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18. Time to treatment with bridging intravenous alteplase before endovascular treatment:subanalysis of the randomized controlled SWIFT-DIRECT trial.

Author: Meinel, Thomas, Kaesmacher, Johannes, Buetikofer, Lukas, Strbian, Daniel, Eker, Omer, Cognard, Christophe, Mordasini, Pasquale, Deppeler, Sandro, Mendes Pereira, Vitor, Albucher, Jean, Darcourt, Jean, Bourcier, Romain, Guillon, Benoit, Papagiannaki, Chrysanthi, Costentin, Guillaume, Sibolt, Gerli, Räty, Silja, Gory, Benjamin, Richard, Sébastien, Liman, Jan, Ernst, Marielle, Boulanger, Marion, Barbier, Charlotte, Mechtouff, Laura, Zhang, Liqun, Marnat, Gaultier, Sibon, Igor, Nikoubashman, Omid, Reich, Arno, Consoli, Arturo, Weisenburger, David, Requena, Manuel, Garcia-Tornel, Alvaro, Saleme, Suzana, Moulin, Solène, Pagano, Paolo, Saliou, Guillaume, Carrera, Emmanuel, Janot, Kevin, Boix, Marti, Pop, Raoul, Della Schiava, Lucie, Luft, Andreas, Piotin, Michel, Gentric, Jean, Pikula, Aleksandra, Pfeilschifter, Waltraud, Arnold, Marcel, Siddiqui, Adnan, Froehler, Michael, Furlan, Anthony, Chapot, René, Wiesmann, Martin, Machi, Paolo, Diener, Hans-Christoph, Kulcsar, Zsolt, Bonati, Leo, Bassetti, Claudio, Escalard, Simon, Liebeskind, David, Saver, Jeffrey, Fischer, Urs, and Gralla, Jan
Subjects: Thrombectomy, Thrombolysis, Humans, Female, Aged, Male, Tissue Plasminogen Activator, Stroke, Time-to-Treatment, Thrombolytic Therapy, Thrombectomy, Brain Ischemia, Treatment Outcome, Fibrinolytic Agents
Abstract: BACKGROUND: We hypothesized that treatment delays might be an effect modifier regarding risks and benefits of intravenous thrombolysis (IVT) before mechanical thrombectomy (MT). METHODS: We used the dataset of the SWIFT-DIRECT trial, which randomized 408 patients to IVT+MT or MT alone. Potential interactions between assignment to IVT+MT and expected time from onset-to-needle (OTN) as well as expected time from door-to-needle (DTN) were included in regression models. The primary outcome was functional independence (modified Rankin Scale (mRS) 0-2) at 3 months. Secondary outcomes included mRS shift, mortality, recanalization rates, and (symptomatic) intracranial hemorrhage at 24 hours. RESULTS: We included 408 patients (IVT+MT 207, MT 201, median age 72 years (IQR 64-81), 209 (51.2%) female). The expected median OTN and DTN were 142 min and 54 min in the IVT+MT group and 129 min and 51 min in the MT alone group. Overall, there was no significant interaction between OTN and bridging IVT assignment regarding either the functional (adjusted OR (aOR) 0.76, 95% CI 0.45 to 1.30) and safety outcomes or the recanalization rates. Analysis of in-hospital delays showed no significant interaction between DTN and bridging IVT assignment regarding the dichotomized functional outcome (aOR 0.48, 95% CI 0.14 to 1.62), but the shift and mortality analyses suggested a greater benefit of IVT when in-hospital delays were short. CONCLUSIONS: We found no evidence that the effect of bridging IVT on functional independence is modified by overall or in-hospital treatment delays. Considering its low power, this subgroup analysis could have missed a clinically important effect, and exploratory analysis of secondary clinical outcomes indicated a potentially favorable effect of IVT with shorter in-hospital delays. Heterogeneity of the IVT effect size before MT should be further analyzed in individual patient meta-analysis of comparable trials. TRIAL REGISTRATION NUMBER: URL: https://www. CLINICALTRIALS: gov ; Unique identifier: NCT03192332.
Published: 2023

19. A Binary Annular Phase Mask to Regulate Spherical Aberration and Allow Super-Localization in Single-Particle Tracking over Extended Depth-of-Focus

Author: Gresil, Quentin, Lee, Antony, Leveque, Olivier, Caicedo, Karen, Munoz, Blanca Martin, Kulcsar, Caroline, Goudail, Francois, Bon, Pierre, and Cognet, Laurent
Subjects: Physics - Optics
Abstract: Important applications of single-particle tracking (SPT) aim at deciphering the diffusion properties of single fluorescent nanoparticles immersed in heterogeneous environments, such as multi-cellular biological tissues. To maximize the particle localization precision in such complex environments, high numerical aperture objectives are often required, which intrinsically restrict depth-of-focus (DOF) to less than a micrometer and impedes recording long trajectories when particles escape the plane of focus. In this work, we show that a simple binary phase mask can work with the spherical aberration inevitably induced by thick sample inhomogeneities, to extend the DOF of a single-molecule fluorescence microscope over more than 4 {\mu}m. The effect of point-spread-function (PSF) engineering over spherical aberration regularizes inhomogeneities of the PSF along the optical axis by restricting it to a narrow distribution. This allows the use of a single fitting function (i.e. Gaussian function) to localize single emitters over the whole extended DOF. Application of this simple approach on diffusing nanoparticles demonstrate that SPT trajectories can be recorded on significantly longer times., Comment: 18 pages, 4 figures
Published: 2023
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20. Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle

Author: Kovaceva, Jordanka, Murgovski, Nikolce, Kulcsár, Balázs, Wymeersch, Henk, and Bärgman, Jonas
Subjects: Computer Science - Robotics, Electrical Engineering and Systems Science - Systems and Control
Abstract: This paper provides a general framework for efficiently obtaining the appropriate intervention time for collision avoidance systems to just avoid a rear-end crash. The proposed framework incorporates a driver comfort model and a vehicle model. We show that there is a relationship between driver steering manoeuvres based on acceleration and jerk, and steering angle and steering angle rate profiles. We investigate how four different vehicle models influence the time when steering needs to be initiated to avoid a rear-end collision. The models assessed were: a dynamic bicycle model (DM), a steady-state cornering model (SSCM), a kinematic model (KM) and a point mass model (PMM). We show that all models can be described by a parameter-varying linear system. We provide three algorithms for steering that use a linear system to compute the intervention time efficiently for all four vehicle models. Two of the algorithms use backward reachability simulation and one uses forward simulation. Results show that the SSCM, KM and PMM do not accurately estimate the intervention time for a certain set of vehicle conditions. Due to its fast computation time, DM with a backward reachability algorithm can be used for rapid offline safety benefit assessment, while DM with a forward simulation algorithm is better suited for online real-time usage.
Published: 2023

21. Controlled Descent Training

Author: Andersson, Viktor, Varga, Balázs, Szolnoky, Vincent, Syrén, Andreas, Jörnsten, Rebecka, and Kulcsár, Balázs
Subjects: Mathematics - Optimization and Control, Computer Science - Machine Learning
Abstract: In this work, a novel and model-based artificial neural network (ANN) training method is developed supported by optimal control theory. The method augments training labels in order to robustly guarantee training loss convergence and improve training convergence rate. Dynamic label augmentation is proposed within the framework of gradient descent training where the convergence of training loss is controlled. First, we capture the training behavior with the help of empirical Neural Tangent Kernels (NTK) and borrow tools from systems and control theory to analyze both the local and global training dynamics (e.g. stability, reachability). Second, we propose to dynamically alter the gradient descent training mechanism via fictitious labels as control inputs and an optimal state feedback policy. In this way, we enforce locally $\mathcal{H}_2$ optimal and convergent training behavior. The novel algorithm, \textit{Controlled Descent Training} (CDT), guarantees local convergence. CDT unleashes new potentials in the analysis, interpretation, and design of ANN architectures. The applicability of the method is demonstrated on standard regression and classification problems.
Published: 2023

22. Conflict-free Charging and Real-time Control for an Electric Bus Network

Author: Lacombe, Rémi, Murgovski, Nikolce, Gros, Sébastien, and Kulcsár, Balázs
Subjects: Electrical Engineering and Systems Science - Systems and Control
Abstract: The rapid adoption of electric buses by transit agencies around the world is leading to new challenges in the planning and operation of bus networks. In particular, the limited driving range of electric vehicles imposes operational constraints such as the need to charge buses during service. Research on this topic has mostly focused on the strategic and tactical planning aspects until now, and very little work has been done on the real-time operational aspect. To remedy this, we propose integrating the charging scheduling problem with a real-time speed control strategy in this paper. The control problem is formulated as a mixed-integer linear program and solved to optimality with the branch-and-bound method. Simulations are carried out by repeatedly solving the control problem in a receding horizon fashion over a full day of operation. The results show that the proposed controller manages to anticipate and avoid potential conflicts where the charging demand exceeds the charger capacity. This feature makes the controller achieve lower operational costs, both in terms of service regularity and energy consumption, compared to a standard first-come, first-served charging scheme., Comment: 6 pages, 3 figures
Published: 2022

23. A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services

Author: Jacobsen, Sten Elling Tingstad, Lindman, Anders, and Kulcsár, Balázs
Subjects: Electrical Engineering and Systems Science - Systems and Control
Abstract: This paper considers the problem of supply-demand imbalances in Mobility-on-Demand (MoD) services, such as Uber or DiDi Rider. Such imbalances are due to uneven stochastic travel demand and can be prevented by proactively rebalance empty vehicles. To this end we propose a method that include estimated stochastic travel demand patterns into stochastic model predictive control (SMPC) for rebalancing of empty vehicles MoD ride-hailing service. More precisely, we first estimate passenger travel demand using Gaussian Process Regression (GPR), which provides demand uncertainty bounds for time pattern prediction. We then formulate a SMPC for the autonomous ride-hailing service and integrate demand predictions with uncertainty bounds into a receding horizon MoD optimization. In order to guarantee constraint satisfaction in the above optimization under estimated stochastic demand prediction, we employ a probabilistic constraining method with user defined confidence interval. Receding horizon MoD optimization with probabilistic constraints thereby calls for Chance Constrained Model Predictive Control (CCMPC). The benefits of the proposed method are twofold. First, travel demand uncertainty prediction from data can naturally be embedded into the MoD optimization framework. We show that for a given minimal fleet size the imbalance in each station can be kept below a certain threshold with a user defined probability. Second, CCMPC can further be relaxed into a Mixed-Integer-LP (MILP) and we show that the MILP can be solved as a corresponding Linear-Program which always admits a integral solution. Finally, we demonstrate through high-fidelity transportation simulations, that by tuning the confidence bound on the chance constraint close to optimal oracle performance can be achieved. The corresponding median customer wait time is reduced by 4% compared to using only the mean prediction of the GPR., Comment: 12 pages, 9 figures
Published: 2022

24. Upgrading the high contrast imaging facility SPHERE: science drivers and instrument choices

Author: Boccaletti, A., Chauvin, G., Wildi, F., Milli, J., Stadler, E., Diolaiti, E., Gratton, R., Vidal, F., Loupias, M., Langlois, M., Cantalloube, F., N'Diaye, M., Gratadour, D., Ferreira, F., Tallon, M., Mazoyer, J., Segransan, D., Mouillet, D., Beuzit, J. -L., Bonnefoy, M., Galicher, R., Vigan, A., Snellen, I., Feldt, M., Desidera, S., Rousseau, S., Baruffolo, A., Goulas, C., Baudoz, P., Bechet, C., Benisty, M., Bianco, A., Carry, B., Cascone, E., Charnay, B., Choquet, E., Christiaens, V., Cortecchia, F., de Caprio, V., De Rosa, A., Desgrange, C., D'Orazi, V., Douté, S., Frangiamore, M., Gendron, E., Ginski, C., Huby, E., Keller, C., Kulcsár, C., Landman, R., Lagarde, S., Lagadec, E., Lagrange, A. -M., Kasper, M. Lombini M., Ménard, F., Magnard, Y., Malaguti, G., Maurel, D., Mesa, D., Morgante, G., Pantin, E., Pichon, T., Potier, A., Rabou, P., Rochat, S., Terenzi, L., Thiébaut, E., Tallon-Bosc, I., Raynaud, H. -F., Rouan, D., Sevin, A., Schiavone, F., Schreiber, L., and Zanutta, A.
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract: SPHERE+ is a proposed upgrade of the SPHERE instrument at the VLT, which is intended to boost the current performances of detection and characterization for exoplanets and disks. SPHERE+ will also serve as a demonstrator for the future planet finder (PCS) of the European ELT. The main science drivers for SPHERE+ are 1/ to access the bulk of the young giant planet population down to the snow line ($3-10$ au), to bridge the gap with complementary techniques (radial velocity, astrometry); 2/ to observe fainter and redder targets in the youngest ($1-10$\,Myr) associations compared to those observed with SPHERE to directly study the formation of giant planets in their birth environment; 3/ to improve the level of characterization of exoplanetary atmospheres by increasing the spectral resolution in order to break degeneracies in giant planet atmosphere models. Achieving these objectives requires to increase the bandwidth of the xAO system (from $\sim$1 to 3\,kHz) as well as the sensitivity in the infrared (2 to 3\,mag). These features will be brought by a second stage AO system optimized in the infrared with a pyramid wavefront sensor. As a new science instrument, a medium resolution integral field spectrograph will provide a spectral resolution from 1000 to 5000 in the J and H bands. This paper gives an overview of the science drivers, requirements and key instrumental trade-off that were done for SPHERE+ to reach the final selected baseline concept., Comment: To appear in the Proceedings of the SPIE Astronomical Telescopes + Instrumentation (2022), 13 pages, 6 figure
Published: 2022

25. Solving Logistics Scheduling Problems Using an Extended Many-Project Optimization Model

Author: Mihály, Krisztián, Kulcsárné Forrai, Mónika, Kulcsár, Gyula, Clausen, Uwe, Series Editor, Hompel, Michael ten, Series Editor, de Souza, Robert, Series Editor, Tamás, Péter, editor, Bányai, Tamás, editor, Telek, Péter, editor, and Cservenák, Ákos, editor
Published: 2024
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26. Settlement Network Supplying Energy

Author: Kulcsár, Balázs, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Marucci, Alessandro, editor, Zullo, Francesco, editor, Fiorini, Lorena, editor, and Saganeiti, Lucia, editor
Published: 2024
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27. Evaluation of treadmill cardiopulmonary exercise testing and field measurement results in women’s youth and adult national team water polo players

Author: Zamodics, Mark, Babity, Mate, Mihok, Attila, Bognar, Csaba, Bucsko-Varga, Agnes, Kulcsar, Panka, Boroncsok, Dora, Benko, Regina, Fabian, Alexandra, Lakatos, Balint, Vago, Hajnalka, Kovacs, Attila, Merkely, Bela, and Kiss, Orsolya
Published: 2025
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28. Stochastic Frontier Analysis of the Romanian Food Industry

Author: Edina Kulcsar
Subjects: Economics as a science, HB71-74
Published: 2024
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29. Modulation of the ‘flinty’ aroma compound phenylmethanethiol during fermentation: impacts of yeast starter culture and nitrogen supplementation

Author: Antonio Garcia Cordente, Allie G. Kulcsar, Deanna Langone, Lisa Pisaniello, Tracey E. Siebert, and Marlize Z. Bekker
Subjects: wine, sulfur, aroma, flint, thiols, nitrogen, Agriculture, Botany, QK1-989
Abstract: The sulfur compound phenylmethanethiol (PMT) has been associated with ’flinty’ and ’struck-match’ aromas in wine, and it is considered to be an important contributor to the flavour of certain white wine styles. Little is known about the factors driving the formation of this potent sulfur aroma compound during winemaking conditions, as well as the precursors/pathways that might be involved in its formation. In this study, we demonstrate that a range of practical winemaking strategies may have significant implications on the final concentration of PMT in wine. Specifically, the choice of yeast strain used to perform alcoholic fermentation was shown to modulate the formation of this ‘flinty’ compound under laboratory-scale conditions, and in the absence of oak. The nutritional level of the fermentation media was also found to significantly impact PMT formation by yeast, as nitrogen additions in the form of inorganic nitrogen promoted the formation of PMT. Finally, the potential role of both benzaldehyde and hydrogen sulfide as precursors to PMT formation was also explored, as well as the contribution of other alternative pathways.
Published: 2024
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30. Towards virtual access of adaptive optics telemetry data

Author: Gomes, Tiago, Correia, Carlos, Bardou, Lisa, Beltramo-Martin, Olivier, Fusco, Thierry, Kulcsár, Caroline, Morris, Timothy, Morujão, Nuno, Neichel, Benoît, Osborn, James, and Garcia, Paulo
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: Large amounts of Adaptive-Optics (AO) control loop data and telemetry are currently inaccessible to end-users. Broadening access to those data has the potential to change the AO landscape on many fronts, addressing several use-cases such as derivation of the system's PSF, turbulence characterisation and optimisation of system control. We address one of the biggest obstacles to sharing these data: the lack of standardisation, which hinders access. We propose an object-oriented Python package for AO telemetry, whose data model abstracts the user from an underlining archive-ready data exchange standard based on the Flexible Image Transport System (FITS). Its design supports data from a wide range of existing and future AO systems, either in raw format or abstracted from actual instrument details. We exemplify its usage with data from active AO systems on 10m-class observatories, of which two are currently supported (AOF and Keck), with plans for more.
Published: 2022
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31. On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity

Author: Szolnoky, Vincent, Andersson, Viktor, Kulcsar, Balazs, and Jörnsten, Rebecka
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Computation
Abstract: Most complex machine learning and modelling techniques are prone to over-fitting and may subsequently generalise poorly to future data. Artificial neural networks are no different in this regard and, despite having a level of implicit regularisation when trained with gradient descent, often require the aid of explicit regularisers. We introduce a new framework, Model Gradient Similarity (MGS), that (1) serves as a metric of regularisation, which can be used to monitor neural network training, (2) adds insight into how explicit regularisers, while derived from widely different principles, operate via the same mechanism underneath by increasing MGS, and (3) provides the basis for a new regularisation scheme which exhibits excellent performance, especially in challenging settings such as high levels of label noise or limited sample sizes.
Published: 2022

32. Collaborative electric vehicle routing with meet points

Author: Zhou, Fangting, Arvidsson, Ala, Wu, Jiaming, and Kulcsár, Balázs
Published: 2024
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33. Controller switching with the anti-bump adapter

Author: Raynaud, Henri-François and Kulcsár, Caroline
Published: 2024
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34. Tannin additions decrease the concentration of malodorous volatile sulfur compounds in wine-like model solutions and wine

Author: Bekker, Marlize Zaretha, Kulcsar, Allie Cherie, Jouin, Alicia Loreto, and Laurie, Victor Felipe
Published: 2025
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35. Ultra-High-Resolution Time-of-Flight MR-Angiography for the Noninvasive Assessment of Intracranial Aneurysms, Alternative to Preinterventional DSA?

Author: Schubert, Tilman, Husain, Hakim Shakir, Thurner, Patrick, Madjidyar, Jawid, Barnaure, Isabelle, Piccirelli, Marco, Klarhöfer, Markus, Schmidt, Michaela, Speier, Peter, Forman, Christoph, and Kulcsar, Zsolt
Published: 2023
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36. What is a Challenging Clot?: A DELPHI Consensus Statement from the CLOTS 7.0 Summit

Author: Ospel, Johanna M., Mirza, Mahmood, Clarençon, Frédéric, Siddiqui, Adnan, Doyle, Karen, Consoli, Arturo, Mokin, Maxim, Ullberg, Teresa, Zaidat, Osama, Bourcier, Romain, Kulcsar, Zsolt, Gounis, Matthew J., Liebeskind, David S., Fiehler, Jens, Narata, Ana Paula, Ribo, Marc, Jovin, Tudor, Sakai, Nobuyuki, Rai, Ansaar, McCarthy, Ray, Dorn, Franziska, Andersson, Tommy, Majoie, Charles B. L. M., Hanel, Ricardo, Jadhav, Ashutosh, Riedel, Christian, Chamorro, Angel, Brinjikji, Waleed, Costalat, Vincent, DeMeyer, Simon F., Nogueira, Raul G., Cognard, Christophe, Montaner, Joan, Leung, Thomas W., Molina, Carlos, van Beusekom, Heleen, Davalos, Antoni, Weisel, John, Chapot, Rene, Möhlenbruch, Markus, and Brouwer, Patrick
Published: 2023
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37. Cascade adaptive optics: contrast performance analysis of a two-stage controller by numerical simulations

Author: Cerpa-Urra, Nelly, Kasper, Markus, Kulcsár, Caroline, Raynaud, Henri-François, and Heritier, Cedric Taïssir
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: The contrast performance of current eXtreme Adaptive Optics (XAO) systems can be improved by adding a second AO correction stage featuring its own wavefront sensor, deformable mirror, and real-time controller. We develop a dynamical model for such a cascade AO (CAO) system with two stages each controlled by a standard integrator, and study its control properties. We study how such a configuration can improve an existing system without modifying the first stage. We analyze the CAO architecture in general and show how part of the disturbance is transferred from low to high temporal frequencies with a nefarious effect of the second stage integrator overshoot, and suggest possible ways to mitigate this. We also carry out numerical simulations of the particular case of a first stage AO using a Shack-Hartmann wavefront sensor and a second stage AO with a smaller deformable mirror running at a higher framerate to reduce temporal error. In this case, we demonstrate that the second stage improves imaging contrast by one order of magnitude and shortens the decorrelation time of atmospheric turbulence speckles by even a greater factor. The results show that CAO presents a promising and relatively simple way to upgrade some existing XAO systems and achieve improved imaging contrasts fostering a large number of science cases including the direct imaging of Exoplanets., Comment: Accepted for publication in Journal of Astronomical Telescopes, Instruments and Systems
Published: 2022

38. Deep Q-learning: a robust control approach

Author: Varga, Balazs, Kulcsar, Balazs, and Chehreghani, Morteza Haghir
Subjects: Computer Science - Machine Learning
Abstract: In this paper, we place deep Q-learning into a control-oriented perspective and study its learning dynamics with well-established techniques from robust control. We formulate an uncertain linear time-invariant model by means of the neural tangent kernel to describe learning. We show the instability of learning and analyze the agent's behavior in frequency-domain. Then, we ensure convergence via robust controllers acting as dynamical rewards in the loss function. We synthesize three controllers: state-feedback gain scheduling H2, dynamic Hinf, and constant gain Hinf controllers. Setting up the learning agent with a control-oriented tuning methodology is more transparent and has well-established literature compared to the heuristics in reinforcement learning. In addition, our approach does not use a target network and randomized replay memory. The role of the target network is overtaken by the control input, which also exploits the temporal dependency of samples (opposed to a randomized memory buffer). Numerical simulations in different OpenAI Gym environments suggest that the Hinf controlled learning performs slightly better than Double deep Q-learning.
Published: 2022
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39. Development and testing of an efficient micropollutant monitoring strategy across a large watershed

Author: Kardos, Máté Krisztián, Clement, Adrienne, Jolánkai, Zsolt, Zessner, Matthias, Kittlaus, Steffen, Weber, Nikolaus, Gabriel, Oliver, Broer, Marianne Bertine, Soare, Florentina, Hamchevici, Carmen, Sidau, Mugurel, Tonev, Radoslav, Milačič, Radmila, Ščančar, Janez, Horvat, Milena, Marković, Katarina, Kulcsar, Sandra, Schuhmann, Andrea, Bordós, Gábor, Pataj, Eszter, and Zoboli, Ottavia
Published: 2024
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40. Targeted knock-in of NCF1 cDNA into the NCF2 locus leads to myeloid phenotypic correction of p47phox-deficient chronic granulomatous disease

Author: Siow, Kah Mun, Güngör, Merve, Wrona, Dominik, Raimondi, Federica, Pastukhov, Oleksandr, Tsapogas, Panagiotis, Menzi, Timon, Schmitz, Michael, Kulcsár, Péter István, Schwank, Gerald, Schulz, Ansgar, Jinek, Martin, Modlich, Ute, Siler, Ulrich, and Reichenbach, Janine
Published: 2024
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41. Brazilian Consensus on the Application of Thermal Ablation for Treatment of Thyroid Nodules: A Task Force Statement by the Brazilian Society of Interventional Radiology and Endovascular Surgery (SOBRICE), Brazilian Society of Head and Neck Surgery (SBCCP), and Brazilian Society of Endocrinology and Metabolism (SBEM)

Author: Gustavo Philippi de los Santos, Marco Aurélio Vamondes Kulcsar, Fabio de Aquino Capelli, Jose Higino Steck, Klecius Leite Fernandes, Cleo Otaviano Mesa Junior, Joaquim Mauricio da Motta-Leal-Filho, Rafael Selbach Scheffel, Fernanda Vaisman, Guilherme Lopes Pinheiro Martins, Denis Szejnfeld, Mauricio Kauark Amoedo, Marcos Roberto de Menezes, Antonio Rahal Junior, and Leandro Luongo Matos
Subjects: Thyroid, treatment, ablation techniques, radiofrequency ablation, interventional ultrasound, Medicine, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract: ABSTRACT There is increasing interest in ultrasound-guided ablation treatments for thyroid diseases, including benign and malignant ones. Surgeons, radiologists, and endocrinologists carry out these treatments, and various organizations within these specialties have recently released multiple international consensus statements and clinical practice standards. The aim of the present consensus statement is to provide guidance, cohesion, and standardization of best practices for thermal ablation procedures of thyroid nodules. The statement includes the indications for these procedures, preprocedural evaluations, technical aspects of the procedures, posttreatment care, follow-up, complications, and training recommendations. This document was written by a panel of specialists from the Brazilian Society of Interventional Radiology and Endovascular Surgery (SOBRICE), the Brazilian Society of Head and Neck Surgery (SBCCP), and the Brazilian Society of Endocrinology and Metabolism (SBEM). The statement does not aim to provide criteria for assessing the capability of specialists to perform the procedure. Instead, it aims to promote the standardization of best practices to reduce potential adverse outcomes. Additionally, it strives to enhance the delivery of high-quality care and the widespread adoption of these technologies on a national level. The recommendations collectively serve as a guidebook for applying best practices in thyroid ablation.
Published: 2024
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42. Autoimmune encephalitis: Early and late findings on serial MR imaging and correlation to treatment timepoints

Author: Mahmoud Abunada, Nathalie Nierobisch, Riccardo Ludovichetti, Cyril Simmen, Robert Terziev, Claudio Togni, Lars Michels, Zsolt Kulcsar, and Nicolin Hainc
Subjects: Autoimmune diseases, Magnetic resonance imaging, Encephalitis, Brain, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract: Introduction: MRI is negative in a large percentage of autoimmune encephalitis cases or lacks findings specific to an antibody. Even rarer is literature correlating the evolution of imaging findings with treatment timepoints. We aim to characterize imaging findings in autoimmune encephalitis at presentation and on follow up correlated with treatment timepoints for this rare disease. Methods: A full-text radiological information system search was performed for “autoimmune encephalitis” between January 2012 and June 2022. Patients with laboratory-identified autoantibodies were included. MRI findings were assessed in correlation to treatment timepoints by two readers in consensus. For statistical analysis, cell-surface vs intracellular antibody groups were assessed for the presence of early limbic, early extralimbic, late limbic, and late extralimbic findings using the χ2 test. Results: Thirty-seven patients (female n = 18, median age 58.8 years; range 25.7 to 82.7 years) with 15 different autoantibodies were included in the study. Twenty-three (62%) patients were MRI-negative at time of presentation; 5 of these developed MRI findings on short-term follow up. Of the 19 patients with early MRI findings, 9 (47%) demonstrated improvement upon treatment initiation (7/9 cell-surface group). There was a significant difference (p = 0.046) between the MRI spectrum of cell-surface vs intracellular antibody syndromes as cell-surface antibody syndromes demonstrated more early classic findings of limbic encephalitis and intracellular antibody syndromes demonstrated more late extralimbic abnormalities. Conclusion: MRI can be used to help narrow the differential diagnosis in autoimmune encephalitis and can be used as a monitoring tool for certain subtypes of this rare disease.
Published: 2024
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43. Thyroid surgery volume – A statement issued by the Brazilian Head and Neck Surgery Society (SBCCP)

Author: Fatima Cristina Mendes de Matos, José Guilherme Vartanian, José Carlos Barauna Neto, Ary Serrano Santos, Achilles Alves de Levy Machado, Paola Andrea Galbiatti Pedruzzi, Murilo Catafesta das Neves, Flavio Carneiro Hojaij, Marianne Yumi Nakai, Aline de Oliveira Ribeiro Viana, Izabella Costa Santos, Rafael de Cicco, Renato de Castro Capuzzo, Fábio de Aquino Capelli, Dorival De Carlucci Junior, Gilberto Vaz Teixeira, Beatriz Cavalheiro, Fabio Brodskin, Ivan Agra, Fernando Luiz Dias, Marco Aurélio Kulcsar, and Giulianno Molina de Melo
Subjects: Medicine, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Published: 2024
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44. Short-term traffic prediction using physics-aware neural networks

Author: Pereira, Mike, Lang, Annika, and Kulcsár, Balázs
Subjects: Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
Abstract: In this work, we propose an algorithm performing short-term predictions of the flux of vehicles on a stretch of road, using past measurements of the flux. This algorithm is based on a physics-aware recurrent neural network. A discretization of a macroscopic traffic flow model (using the so-called Traffic Reaction Model) is embedded in the architecture of the network and yields flux predictions based on estimated and predicted space-time dependent traffic parameters. These parameters are themselves obtained using a succession of LSTM ans simple recurrent neural networks. Besides, on top of the predictions, the algorithm yields a smoothing of its inputs which is also physically-constrained by the macroscopic traffic flow model. The algorithm is tested on raw flux measurements obtained from loop detectors., Comment: 17 pages, 11 figures, 2 tables
Published: 2021
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45. Blood Oxygenation Level–Dependent Cerebrovascular Reactivity–Derived Steal Phenomenon May Indicate Tissue Reperfusion Failure After Successful Endovascular Thrombectomy

Author: Bellomo, Jacopo, Sebök, Martina, Stumpo, Vittorio, van Niftrik, Christiaan H. B., Meisterhans, Darja, Piccirelli, Marco, Michels, Lars, Reolon, Beno, Esposito, Giuseppe, Schubert, Tilman, Kulcsar, Zsolt, Luft, Andreas R., Wegener, Susanne, Regli, Luca, and Fierstra, Jorn
Published: 2023
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46. 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, 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, 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, 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, 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, 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, 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, Lucchini, Sergio Martin, Laudani, Veronica, 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, Badiani, Sarit, Koh, Cherry, Putnis, Soni, Haider, Fayza, Rahman Mitul, Ashrarur, Komen, Niels, Dhondt, Bert, Cappeliez, Serge, Pigeolet, Manon, Schoneveld, Martijn, Stijns, Jasper, Oosterlinck, Wouter, Flamey, Nicolas, Kpangon, Cyrille, Agbadebo, Mouhamed, Tobome, Sèmèvo Romaric, Vieira Barros, Aldo, Aguiar Júnior, Samuel, 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, Jaworska, Natalia, Dell, Angela, Shanthanna, Harsha, 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, Bolivar Saenz, Dinimo, Caicedo, Lina, Alzate, Juan Pablo, Luna, Joaquin, Pedraza Alonso, Nestor Fabian, Ortiz Silva, Camilo, 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, Montenegro, Emileth, Rodriguez-Abreu, Julia, 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, Abdelkhalek, Mohamed, Samaka, Rehab, Morsy, Amr, Sherif, Ahmed Elshawadfy, Abebe, Metasebia, Negussie, Abraham, Fisseha, Tigist, Shumbash, Kibruyisfaw, Yasin, Seid Mohammed, Akililu, Yemisirach Bizuneh, Megersa, Abebe, Tefera, Teshome, Melatework, Atnafu, Bahru, Tsegaye, Bereket, Bezabih, Yoseph Solomon, Sisay, Silamlak, Bekele, Kebebe, Jira, Moa, Derilo, Habtamu, Degefa, Eyueal, Tadesse, Anteneh, Nidaw, Melkamu, Sarjanoja, Elise, 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, 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, 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, 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, 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, Hashimoto, Daisuke, Alqudah, Majdi Ali, Alajalen, Amer, Omari, Rand Y., 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, 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, 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, Ndayishyigikiye, Marcel Didier, Munyika, Akutu, Plarre, Philipp, Borowski, David W, Wells, Cameron, Teague, Rebecca, Elliott, Brodie, Kieser, David, Mohyieldin, Omar, 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, Okunlola, Abiodun, Kache, Stephen, Sale, Danjuma, Anyanwu, Lofty-John, Okereke, Chukwuma, Tolani, Musliu Adetola, Filipce, Venko, Todorovic, Lazar, 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, 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, Castro Borges, Filipe, Viveiros, Octavio, Serralheiro, Pedro, Santos-Costa, Paulo, Mendes, Filipa, Rocha Melo, Miguel, Cardoso, Paulo, Soares, Ana, Gonçalves Pereira, Rita, Silva, Nelson, Caiado, André, Sacras, Maria Luís, Azevedo, Pedro, Almeida-Reis, Rui, 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, Filipescu, Daniela, Bacalbasa, Nicolae, Motas, Natalia, Ionescu, Sebastian, Ginghina, Octav, Costea, Radu, Zarnescu, Narcis Octavian, Drasovean, Radu, Dimofte, Mihail-Gabriel, Porumb, Vlad, Kirov, Mikhail, Molitvin, Yegor, Pykhteev, Vadim, Raevskaya, Marianna, 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, Tendeng, Jacques, Teo, Nan Zun, Aqil, Sabra, Barrena López, Cristina, Sánchez Mozo, Ana, Rodriguez Infante, Antonio, Caja Vivancos, Patricia, Prieto, Mikel, Alberdi San Roman, Igor, Gomez Fernandez, Laura, Muñoz Vives, Josep Maria, Carreras-Castañer, Anna, Díaz-Feijoo, Berta, Sieira-Gil, Ramon, Turrado-Rodriguez, Victor, Sánchez López, Anna, Sánchez-Cabús, Santiago, Jimenez Toscano, Marta, Canals Sin, MªPilar, Laura, Saura García, Martin Sole, Oriol, Palazon Bellver, Pedro, Pérez-Bertólez, Sonia, Prat-Ortells, Jordi, Riba Martínez, Mireia, Rubio-Palau, Josep, Tarrado, Xavier, Nuñez, Jorge, Alonso Mendoza, Veronica, Bescós, Coro, Espin-Basany, Eloy, Espinosa-Bravo, Martin, Gil-Sala, Daniel, González-Suárez, Susana, Montferrer Estruch, Nuria, Porteiro Mariño, Lucia, Rodríguez-Tesouro, Ana, Rojas Portilla, Fabian, Tormos Pérez, M Pilar, Vives, Inmaculada, Garcia De Cortazar, Unai, Tudela, Kiara, Landaluce-Olavarria, Aitor, Estaire Gómez, Mercedes, Almoguera, Jorge, Ugarte-Sierra, Bakarne, Jimenez, Virginia, Bertrand, Marta, Cárdenas Puiggrós, Laura, Delisau-Puig, Olga, Garcia-Adamez, Jorge, Julià Bergkvist, David, Maldonado-Marcos, Eloy, Diego García, Lucia, Roldón Golet, Marta, Soto-Darias, Iván, Rahy-Martín, Aida Cristina, Enjuto, Diego, Ramos-Luengo, Adolfo, Delgado Fernandez, Juan, Lugo Duarte, Carolina, Marquez, Lucila, Crego Vita, Diana, Dziakova, Jana, Caño Velasco, Jorge, Mateo-Sierra, Olga, Quintana-Villamandos, Begoña, Rey Valcarcel, Cristina, Rio, Javier, Román García de León, Laura, Di Martino, Marcello, Prada, Jorge, Serrano González, Javier, Losada, Manuel, Castell Gomez, Jose Tomas, Corripio-Sanchez, Ramon, Forero-Torres, Alexander, Morales-Puebla, José Manuel, Perez-Chrzanowska, Hanna, Valderrabano Gonzalez, Santiago, Yebes, Alvaro, Zapardiel, Ignacio, Diez Alonso, Manuel, Morales Palacios, Nelson, Cabañero Sánchez, Alberto, Sánchez Fernández, Fátima, Abad Gurumeta, Alfredo, Abad-Motos, Ane, Corella, Fernando, Ripollés-Melchor, Javier, Sanz-Gonzalez, Rosa, Alcaraz Fuentes, Marta, Fernández Martín, Maria Teresa, Calvo Espino, Pablo, Carrasco Prats, Milagros, Fernández-López, Antonio-José, García Escudero, Damián, Garcia Soria, Vanesa, Martínez Alonso, Jesús Aarón, Ruiz-Marín, Miguel, Gómez Pérez, Beatriz, Moya-Angeler, Joaquin, Fernández Martínez, Daniel, Llaquet Bayo, Heura, Colás-Ruiz, Enrique, Bella Romera, Susana, Ruiz Velasquez, Enrique Jose, Núñez, Bernardo, Jimenez, Raul, Zabaleta, Jon, González-Gimeno, Maria Jose, Ortega Vázquez, Irene, Perez Ferrer, Antonio, Martín-Láez, Rubén, Moreno Suarez, Marcelo, Freiria Eiras, Miguel Angel, Ramallo-Solís, Irene, Gomez-Rosado, Juan-Carlos, Oliver Guillen, Jose Ramon, Achalandabaso Boira, Mar, Catalá Bauset, Juan Carlos, Domenech, Julio, Badenes, Rafael, Bernal-Sprekelsen, Juan Carlos, Sancho-Muriel, Jorge, De Andrés-Asenjo, Beatriz, Tejero-Pintor, Francisco J, Vallve-Bernal, Marc, Vazquez Melero, Alba, Sánchez Blasco, Laura, Escartin, Jorge, Duque Mallén, Victoria, Srishankar, Selvaratnam, 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, Sultana, Asma, Mosley, Frances, Chan, Matthew, Bateman, Antony, Davies-Jones, Gareth, Georgiades, Fanourios, Ahmadi, Navid, Coonar, Aman, Baig, Mariam, Khatri, Chetan, Surendran, Arthika, Sonksen, Julian, Sinnerton, Robert, Brennan, Caitlin, Gemma, Greenhalgh, Michael, Emerson, Hannah, Singisetti, Kiran, Totty, Joshua, Wilson, Michael, Lo, Terence, Corbett, Harriet, Okonkwo, Ijeoma, Arbane, Gill, El-Boghdadly, Kariem, Kerawala, Cyrus, Parmar, Chetan, Bath, Michael, Odejinmi, Funlayo, Sagar, Jayesh, Talwar, Rishi, Newman, Samuel, Hammond, John, Moir, John, Duric, Natalie, Szakmany, Tamas, Iftikhar Talib, Ahmar, Youssef, Mina, Lewis-Lloyd, Christopher, Lami, Mariam, Ayub, Khurram, Dean, Benjamin, Balasubramanya, Supriya, Lakpriya, Sathya, Rogers, Luke, Turner, Paul, Maher, Mark, Sigamoney, Kohila, El Kafsi, Jihène, Hardie, John, Johnson, David, Henein, Christin, Hollyman, Marianne, Agarwal, Ketan, Powell, Simon, Chauhan, Govind Singh, Patel, Rakesh, Gagnier, Joel, Carmichael, Heather, Olson, Kristofor A., Etchill, Eric, 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, Figueroa, Rodrigo, García, Pablo Martín, Mondino, Jose, Traverso, Rogelio, Berber, Norberto, Di Vincenzo, Marcela, Grassano, Bianca, Maricic, Maximiliano, Zezular, Damaris Idara Anabel, Abuawad, Carla, Albani Forneris, Agustin, Brandariz, Rodrigo, Burchakchi, Arturo, Buttaro, Martin, Cano Busnelli, Virginia, Carminatti, Tomas, Cereghini, Julian, Crespi Amor, María Sol, Figari, Marcelo, Gonzalez Salazar, Esteban, Higuera, Felipe, Llano, Lionel, Lobos, Pablo, Mc Loughlin, Santiago, Mendoza, Efrain, Mercado, Pedro, Moyano, Pablo, Noll, Florencia, Odetto, Diego, Ramos, María Lourdes, Saadi, Jose, Scherñuk, Jordán, Slullitel, Pablo, Taboada, María Victoria, Vagni, Roberto, Montal, Silvina, Alvarez, Fernando Andres, Bruera, Nicolás, Parodi, Matias, Picon molina, Héctor, Belisle, Diego, Esteban, Agustin, García, José Sebastian, Granero, Lucas, Yaryura Montero, José Gabriel, D’Addino, José Luis, John, Brooke-Smith, Mark, Hii, Amanda, Kundu, Nikhil, Marshall-Webb, Matthew, McVeay, Christina, Ong, Bee Shan, Parker, Dominic, Barnett, Dylan Richard, Buddingh, Karel, Dobbins, Christopher, Dudi-Venkata, Nagendra, Haque, Izhar-Ul, Herath, Matheesha, Lim, Alicia, Moller, Cea-Cea, Neo, Eu Nice, Neo, Eu Ling, Russell, Christine, Tourani, Saam, Tran, Steven, Yin, Yijie, Watson, Matthew, Rugendyke, Anya, Sercombe, Ashleigh, Tee, Chin Li, Batstone, Martin, Field, Michael, Scott, Benjamin, Charlton, Gabriella, Chen, Si, Gauri, Neha, Hayhurst, Ross, Jang, Seyoung, Zhang, Helen, Nagra, Sonal, Rudock, Gareth, Tan, Hannah, Underwood, Kirk, Youssef, Daniel, Bengeri, Savitha, Cheah, Hock Ping, Chen, Paul, Clark, Sara, Devan, Eliya, Fitt, Sophia, Gaul, John, Jolly, Danielle, Kane, James Dimitri, Kwok, Kelvin, Laura, Sharon, Lee, Vivian, Liang, Ina, Luo, Haili, Miles, Stephanie, Noor, Anthony, Simpson, Renwick, Cox, Aram, Thani, Nova, Egoroff, Natasha, Farik, Shebani, Moss, Jana-Lee, Salama, Paul, Phan, Du, Townend, David, Barnett, Stephen, Hasan Kheslat, Hajar, Jamieson-Grigg, Chloe, Larner, Brett, Proud, David, Riddiough, Georgina, Seevanayagam, Sivendran, Zhao, Chris, An, Vinna, Drake, Anna, Hunt, Benjamin, Jain, Anshini, Lim, Christopher Seng Hong, Luck, Tara, Maroske, Georgia, Roubos, Nicholas, Sengupta, Shomik, Tsigaras, Zac, Ward, Salena, Zhou, Jessie, Coates, Amy, Nataraja, Ramesh, Gillard, Andrew, Petrakis, Nikki, Qureshi, Maryum, Seow, Sean Ezekiel, Vivian-Taylor, Josephine, Wheatley, Jennifer, O’Connor, Brendan, Teague, Warwick, Hii, Michael Wei, Isaacs, Anna, Johnson, Mary Ann, Price, Veronique, Rowcroft, Alistair, Shaw, Kalai, Stark, Claire, Lauritz, Brianne, Ong, Chui Foong, Tang, Howard, Davis, Amelia, Peerally, Bibi Nabeeha, Aubin, Anne-Marie, Lim, Zhi Ying, Alsoudani, Ali, Amico, Francesco, Anning, Rebecca, Dale, Tyson, Duggal, Anchal, Ennis, Brendan, Fu, Yi Xin Joanna, Gani, Jonathan, Gelzinnis, Scott, Hadlow, Claudia, Hardstaff, Ruth, Lau, Wayne Yan, Liang, Hsin-Ping, Lim, Daniel, Mcilwain, Elysse, Ming, Yan Joyce, Ocsan, Ryan James, Organ, Nicole, Paterson, Amanda, Perez Cerdeira, Marisol, Ting, Caleb, Willoughby, Ellisha, Bailey, Ashley, Narayanan, Viswanathan, Wilkes, Anna, Zhao, Jie, D’Souza, Carl, Forbes, Clara, Haddleton, Monique, Mohammed Abdul, Naseer, Archer, Leigh, Dilevska, Tina, Hans, Tasvinder, Kumar, Mohit, Pham, Terence, Picazo Pineda, Fernando, Suk-Udom, Supisara, Jeyamanoharan, Nivedan, Sala, Michael, Dravid, Madhulika, McCartney, Conor, Sam, Apostolou, Christos, Berney, Christophe, Lam, Andrew, Ma, Vanessa, Cope, Jennifer, Llorando, Alyssa, Mahin, Humaira Haider, Syed, Faisal, Ireland, Patrick, Zhu, Bonnie, Zitt, Matthias, Königsrainer, Ingmar, Allmer, Caterina, Mitteregger, Martin, Seitinger, Gerald, Duller, David, Mathew, Erwin, Skias, Christoph, Brinskelle, Petra, Holzmeister, Clemens, Kahn, Judith, Kresic, Josip, Lindenmann, Joerg, Lumenta, David, Puchwein, Paul, Singer, Georg, Wolf, Axel, Arco, Daniel, Kilic, Nura, Widschwendter, Peter, Freyschlag, Christian, Graber, Michael, Hirsch, Jakob, Kuen, Marlene, Liebensteiner, Michael, Messner, Franka, Messner, Alex, Naegele, Felix, Osl, Antonia, Ower, Cornelia, Rauchegger, Teresa, Reimer, Daniel, Sokolovski, Filipp, Süss, Markus, Thaler, Martin, Zehetner, Claus, Allerstorfer, Jakob, Haslhofer, David, Pisecky, Lorenz, Poier, Nikolaus, Schmolmüller, Christoph, Zwittag, Paul, Windischbauer, Amadeus, Fischer, Ines, Kirchweger, Patrick, Saini, Thomas, Berger, Julian, Fraz, Wolfgang, Nia, Arastoo, Kenez, Mihaly, Nichita, Margit, Noe, Chiara, Borhanian, Kurosch, Emmanuel, Klaus, Gantschnigg, Antonia, Grechenig, Michael, Gruber, Ricarda, Manzenreiter, Lisa, Schredl, Philipp, Weitzendorfer, Michael, Gruber, Michaela, Grünbart, Martin, Kemmetinger, Vanessa, Mosshammer, Victoria, Schaetz, Tobias, Lanner, Maximilian, Binder, Alf-Dorian, Bernardi, Martin H., Dawoud, Christopher, Foessleitner, Philipp, Grimm, Christoph, Pesta, Maximilian, Pillerstorff, Robert, Riss, Stefan, Scheriau, Georg, Fisus, Andreea, Ruiss, Manuel, Meindl, Nikolaus, Primavesi, Florian, Steiner, Florian, Falkensammer, Eva, Knotzer, Hans, Trivik-Barrientos, Felipe, Alam, Mahmood, Mulla, Husain, Qader, Kawthar, Shirazi, Ahmed, Juma, Isam, Waheed Akbar Mohamad Akbar Nawab Deen, Fatema, AbdulQadir, Seemal, Jabr, Abdulla, Almoosa, Noora, Alam, Mohammed Shadrul, Basher, AKM Khairul, Islam, S.M. Nazmul, Khan, Sadia, Mannan, Iftekhar Ibne, Corbin, Sasha, O’Shea, Margaret, Phillips, Emil, Straltsov, Vladislav, Lyzikov, Alexei, Borges, Mafalda, Vleminckx, Nils, Bontinck, Julie, Van Haver, Anne-Sophie, Viste, Claire, Van Daele, Elke, Jansen, Yanina, Messaoudi, Nouredin, Ruyssers, Michael, Van Eetvelde, Ellen, Akpla, Marcellin, Agossou, Hermann, Aouagbe Behanzin, Hulrich, Yome, Hugues, Boukari, Alassan, Amossou, Labissi Francois, Dossou, Francis, Boras, Miran, Čuljak Blagojević, Ivana, Gunaric, Filip, Letica, Ludvig, Martinovic, Vlatka, Miskovic, Josip, Rastović, Pejana, Sesar, Irena, Favaretto Filho, Rodolfo Jose, Rodrigues, Rodrigo, Schalge Campioto, Débora, Alonso, Nivaldo, Fernandes Rezende, Ricardo, Marson, Fernando Augusto Lima, Accorsi Neto, Alfeu, Accorsi, Guilherme, Machareth, Camila, Viegas Moura, Barbara, Guarienti, Luciano, Becker, Karin, Dias, Andre, Girardi Fachin, Camila, Stychnicki, Adriano Seikiti, Avelino, Melissa, Elaine Francisca, Amorim, Robson, Bellotti Leão, Maria Eduarda, Melo da Camara, Isabelle, Silva Junior, Rubem Alves, Soares Da Silva Menezes, Agna, Cavazzola, Leandro Totti, Roloff Cardoso, Guilherme, Silva Neto, Brasil, Soares, Tilaê, Guerra, Enilde Eloena, Salem, Moacyr, de Campos Prado, Caio Antonio, Zani, Ana Carolina Tagliatti, Lourenço Gomes dos Santos, Carolina, Quintana, Silvana Maria, Veccechi Bijos Zaccaro, Marília, Lima, Leonardo, da Cunha Viana Júnior, Alonço, Trindade Martins, Isabela, R Oliveira, Priscila, Schmitz Nunes, Kamilla, Abdallah, Emne, Facure, Luciana, Kupper, Bruna, Leite, Fernanda, Marques, Narimã, Scintini Herbst, Ana Carolina, Soares Dos Santos, Silvana, Gonçalves, Rodrigo, Machado, Vinicius, Nadal, Luis Roberto, Pansani, Adrieli, Simonsen, Marcelo, Tsuchiya, Daniela, Vasconcelos, Vladimir, Kim, Nam Jin, Nunes, Rafael, Pinto, Fabio, Sigoli Pereira, Thiago Henrique, Volpe, Gustavo Jardim, Nardi, Caroline, Braz de Oliveira, Layze, Ribeiro, Ivonizete Pires, Sousa, Álvaro Francisco Lopes de, Freitas, Marcelo Augusto Faria, Rodrigues da Cunha, Juliano, Dimitrov, Dobromir, Gyokova, Elitsa, Neykov, Vasil, Atanasov, Boyko, Kamenova, Paolina, Yotsov, Tsanko, Spassov, Kolyo, Tsankov, Tsanko, Brown, James, Bali, Krittika, Bigam, David, Dajani, Khaled, Hong, Dennis, Luketic, Lea, Mayer, Robert, McGee, Jacob, Yang, Homer, Hanson, Melissa, Hopkins, Brent, Merchant, Richard, Belzile, Etienne, Boucher-Kovalik, Sofia, Corriveau-Durand, Simon, Cote, Mathieu, Côté, Mathilde, Demers, Suzanne, Desbiens, Christine, El Ouazzani, Mehdi, Gosselin, Karo, Maheux-Lacroix, Sarah, Nadeau, Sylvie, Nguyen, Sebastien, Pelet, Stéphane, Wood, Melissa, Atrey, Amit, Ellenbogen, Yosef, Kellett, Sorcha, Suresh, Hrishikesh, Gentili, Fred, St. Jacques, Leslie, Tabasinejad, Raha, Hsiao, Marvin, Broe, Claire, Grey, Rebecca, Lindberg, Andrew, Mata Gutierrez, Juan, Phillips, Drew, Fernández, Esteban, Ochoa Gaete, Katherine, Sandoval Tobar, Mauricio, Reyes, José Tomás, Rivera, Barbara, Cohn, David, Recabal, Pedro, Sandoval, Camilo, Pincheira, Camila, Torres, Janina, Valenzuela, Marco, Yang, Kun, Zhang, Yuexin, Cunchuan, Wang, Yang, Wah, Liang, Tingbo, Caicedo, Camilo, Perez Granados, Carolina, Serrano, Oscar, Vega Calvera, Andrea Juliana, Acosta Buitrago, Lina M., Cabrera Rivera, Paulo Andrés, Cormane Alfaro, Valeria, Guerrero-Becerra, Albert Franz, Kadamani Abiyomaa, Akram, Polanía Sandoval, Camilo Andrés, Roman Ortega, Carlos Fernando, Téllez, Manuela, Arias-Amézquita, Fernando, Escorcia, Elkin, Herrera-Almario, Gabriel, Monsalve, Guillermo, Caicedo Giraldo, María Alejandra, Castillo Florez, Maria Carolina, Cendales, María Angelica, Daniel, Mario, Espitia, Hernando, Navarro, Juan Carlos, Parra Abaunza, Katherine, Pulido, Eliana, Riveros Castillo, William Mauricio, Rubiano, Wilson, Salgado Tovar, Javier Mauricio, Trillos, Marcial, Villate leon, Juan pablo, Becerra Mendez, Luis, Beltran, Rafael Jose, Calderon Quiroz, Pedro Hernando, Cervera Bonilla, Sergio, Garcia Mora, Mauricio, Mariño, Ivan, Pinilla Morales, Raúl Eduardo, Puerto, Angela, Quintero-Ortíz, Ma. Andrea, Suarez, Raul, Velez Bernal, Jorge Luis, Camargo Gómez, Daniela, Christian kammerer, 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, Martinez Estrada, Gustavo Antonio, Giraldo Velasquez, Angela Maria, Tovar, Jesus Hernan, Tovar, German Alirio, Buesaquillo, Christian Ali, Olave Montaño, Victor David, 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, 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, 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, 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, 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, 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, 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, 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, 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, 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Naskar, Upasana, Jain, Prateek, Jain, Deepak, Kewlani, Vishal, Priya, Noopur, Parijat, Anand, Anand, Akshay, Chaurasia, Akhilanand, Enny, Loreno E., Kumar, Ambrish, Mishra, Brijesh, Pandey, Amita, Roy, Ashutosh, Sachan, Rekha, Sankhwar, Pushp, Singh, Uma, Singh, Urmila, Srivastava, Chhitij, Verma, Manju Lata, Yadav, Awdhesh, Chanthar, K.m.m.vishvak, Hoysal, Dileep, Mishra, Anjali, Batra, Nitin, Bhatti, Arun, Dhar, Tapasya, Dutta, Rohini, Haque, Parvez David, Luther, Anil, Mahajan, Amit, Pargal, Dr Pinki, Samuel, Abhishek, Singh, Inderjot, Singh Grewal, Sarvpreet, Singhania, Anusha, Thomas, Josy, Krishna, Sunil, Singh, Narinder, Agarwal, Sunny, Balasubramaniam, Srikant, 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, 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, Jamshid, Hosseini, Elahe, Nikoupour, Hamed, Bastaninejad, Shahin, Firouzifar, Mohammadreza, Motasaddi zarandy, Masoud, Yazdani, Nasrin, Mortazavi, SM Javad, Ahmadi, Sayedali, Vosoughi, Fardis, Golbakhsh, Mohammadreza, Al-Isawi, Ali, Al-Masood, Mohammed, Gahtan, Yarub, Ahmed, Abdullah, Muhssein, Haidar, Ekwere, Bosom, Essajee, Murtaza, Chan Chin, Bruno, Edwards Murphy, Amy, Foley, Niamh, Gardiner, Padraig, Hechtl, Daniel, Kayyal, Mohd yasser, Lyons, Maria, Ng, Mei Yee, Oduola, Oladayo, Aljohmani, Lylas, Nugent, Timothy, Harris, Johnathon, Kearney, David, Keenan, Robert Anthony, Nolan, Deirdre, Salloum, Donohoe, Emma, Larkin, John, Lynch, Thomas Hugh, Manecksha, Rustom, Nagassima, Katharina, Barry, Mary, 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, Khalid, Mohamed Hamed, Mujtaba, Syed Nadeem, Sarwar, 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, 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, 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, Itani, Rania, Owiedat, Mustafa, Antonios, Ingrid, Milan Moussa, Rita, Abdel Sater, Ali H., Souleiman, Bassem, Ghiya, Peter, Fakih, Ghinwa, Abdulrahman, Taha, Omar Abunaaja, Hayat, Al Gasi, Abd El Jawad, Alsaeiti, Sara, Elkhafeefi, Fatimah, Alhouni, Tarek, Alkeelani, Hana, Alkuwafi, Rauoof, Elbargathe, Osama, Elfadli, Mustafa, Elmahgoub, Asma, 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, Alshareea, Entisar, Aribi, Tomather, Lamari, Amani hamid, Mufth, Mohammed, Aburima, Sarah, Al shukri, Asmaa, Alarabi, Rehab, Alelwany, Aisha, Bashir, Rasha, Elhadi, Ahmed, Elkouba, Esraa, Elmsherghi, Nabiha, Haidar, Arwa, Helal, Hala, Kriem, Eslam, Turshani, Laila, 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, Zelvys, Arunas, Noël, Audrey, Rajaonarivony, Maheriandrianina Fanambinana Voahary, Andriantsoa, Herimampionona E, 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, Saaid, Rahmah, Sethi, Neha, Syed Jafer Hussain Zaidi, Syeda Nureena, Teoh, Li Ying, Islah Munjih, Sainal, Mohd Yusof, Sarif, Mat Salleh, Chua, Richelle, Ahmad, Abdul Rauf bin, Lau, Yii Ling, Liew, Ka Yee, Palayan, Kandasami, Abdul Rahman, Noorneza, Firman, Fatin, Hazleigh, Nik Mohd, Mohd Miswan, Mohd Fairudz, Mohd Zahid, Akmal Zulayla, Yahaya, Mohd Yusoff bin Yahaya, Yusoff, Ahmad Ramzi, Darryl, Brincat, Svetlana, Caruana, Clifford, Chircop, Daniel Mario, Czok, Viktoria, Muscat, Esther, Roshan, Mohsin Hassan Khan, Schembri, Nicholas, Jonathan Rubén, Cedillo Rodrìguez, Rojas Aguilar, Antonio, Sosa Duran, Erik Efrain, Arroyo, Diego, Martinez-Said, Hector, Medina-Franco, Heriberto, Pérez de León Vázquez, Martha Patricia, Soto Hernández, Fidel, Stenner, Juan Ignacio, Zuloaga Fernandez del Valle, Carlos Jose, Colunga Tinajero, Carlos Andres, 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Felipe, González León, Juan Antonio, Guzman, Marlin, Herappe, Dorihela, Lerma, Ricardo, Mendoza Pedraza, Fabián Hilario, Noguez Castillo, Monica, Resendiz, Jose Anatolio, Fernandez Rios, Laura Elena, Frigerio, Pamela, Garcia, Iset, Mendoza Frías, Gloria Isela, Anzures Mendoza, Alejandra, Hdez Miguelena, Luis, Zarate Saenz, David, Zavala gonzalez, Miguel angel, Andrade González, Francisco, Cortes, Ludivina, Gurghiș, Radu, Sanjaa, Burmaa, Ait benhamou, Rita, Rghioui, Mounir, Saaf, Sarra, Letrache, Ahmed, Zekhnini, Meryem, Abichou, Wijden, Baroudi, Salma, Hassoun, Chiraz, Zaim, Ouijdane, Arkha, Yasser, Bechri, Hajar, Benchekroun Belabbes, Meryem, Benslimane, Zaineb, Boualila, Lina, El Ouahabi, Abdessamad, Essakalli Hossyni, Leila, Tagmouti, Adam, Belkhadir, Zakaria Houssaïn, Benkabbou, Amine, Boutayeb, Saber, El Ahmadi, Brahim, Ghannam, Abdelilah, Kabbaj, Taha, Majbar, Anass Mohammed, Ndatewapo, Fillipus, Njuki, Peter Ngungi, Abrahams, Jenevive, Bhusal, Subarna, Dwa, Yam, Bloemers, Frank, Besselink, Marc, van Amstel, Paul, Smeele, Ludi, Harlaar, Niels, van der Burg, Sjirk, 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, Oseihie, Irowa, Omorodion, Nwashilli, Nnamdi, Obahiagbon, Osarobo, Onyeagwara, Ngozi, Oseghale, Eustace, Osemwegie, Osarenkhoe, Osho, Philip, Akanni, Bolaji, Ezomike, Uchechukwu, Okoro, Kelechukwu, Okwara, Blasius, Abdulsalam, Khalifa, Agida, Eyaofun, Ajibola, Hafees, Benard, Adeka, Buba, Amina, Eniola, Sefiu, Isah, Aliyu, Olute, Anne, Osagie, Olabisi, Pius Ogolekwu, Idoko, Ademola, Samuel, Afuwape, Oludolapo, Daodu, Israel, Egbuchulem, Ifeanyichukwu Kelvin, Nwaorgu, Onyekwere, Obadan, Izegaegbe, Odeyemi, Olubunmi, Ogundoyin, Omowonuola, Okere, Oghenekevwe, Oladiran, Ajibola, Olagunju, Naomi, Olawoye, Olayinka, Olusanya, Adeola, Oyelakin, Oyeleye, Ugwu, Ebere, Atoyebi, Oluwole, Bode, Chris, Chibuike George, Ihediwa, Ezenwankwo, Francis, Fatuga, Adedeji, Ladipo-Ajayi, Oluwaseun, Ojewola, Rufus Wale, Okunowo, Adeyemi, Ugwu, Aloy Okechukwu, Adebara, Idowu, Adeyemo, Olabisi, Banjo, Oluseyi, Obateru, John, Ojo, Owolabi, Oluwafemi, Fatudimu, Adelaja, Aderinsola, Atobatele, Kazeem, Ayodele, Olabamidele, Bello, Funmi, Omisanjo, Olufunmilade, Aderounmu, Adewale, Ajekwu, Temitope, Ajekwu, Samuel, Akeem Aderogba, Adeleke, Balogun, Simon, Ojo, Olugbenga, Olasehinde, Olalekan, Olugbami, Adebayo, 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, Lawal, Jamila, Taingson, Matthew, Yusuf, Nuhu, Takai, Idris Usman, Aji, Sani Ali, 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, Alegbeleye, Justina Omoikhefe, Awopeju, Abimbola, Fyneface-Ogan, Sotonye, Kasso, Terhemen, Onwuagha, Ijeoma, Salami, Babatunde, Ajagha, Okeoghene, Awaisu, Mudi, Nwabuoku, Stanley Emeka, 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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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Raja, M, Reyhani, H, Shahmiri, A, Small, O, Soni, U, Aguirrezabala Armbruster, B, Hakim, MA, Hawkins-Hooker, L, Howell, KA, Hullait, R, Jaskowska, A, Ottewell, L, Thomas-Jones, I, Vasudev, A, Clements, B, Fenton, J, Gill, M, Haider, S, Lim, AJM, Maguire, H, McMullan, J, Nicoletti, J, Samuel, S, Unais, MA, White, N, Yao, PC, Yow, L, Brady, R, Cheekoty, P, Cheong, J, Chew, SJHL, Chow, R, Ganewatta Kankanamge, D, Mamer, L, Mohammed, B, Ng Chieng Hin, J, Renji Chungath, R, Royston, A, Sharrad, E, Sinclair, R, Treherne, K, Wyatt, F, Maniarasu, VS, Appanna, T, Bucknall, T, Hussain, F, Owen, A, Parry, R, Sagua, N, Spofforth, K, Yuen, ECT, Bosley, N, Hardie, W, Moore, T, Regas, C, Abdel-Khaleq, S, Ali, N, Bashiti, H, Buxton-Hopley, R, Constantinides, M, D’Afflitto, M, Deshpande, A, Duque Golding, J, Frisira, E, Germani Batacchi, M, Gomaa, A, Hay, D, Iakovou, A, Iakovou, D, Ismail, E, Jefferson, S, Khouli, Y, Mason, J, McCaughan, R, Moffatt, J, Morawala, A, Nadir, H, Neyroud, F, Nikookam, Y, Parmar, A, Pinto, L, Richards, E, Trainer, C, Valetopoulou, A, Vassiliou, A, Wantman, A, Wilde, S, Dickinson, M, Rockall, T, Senn, D, Wcislo, K, Zalmay, P, Adelekan, K, Allen, K, Bajaj, M, Gatumbu, P, Hang, S, Hashmi, Y, Kaur, T, Kawesha, A, Woodmass, M, Adelowo, T, Ahari, D, Alhwaishel, K, Clayton, B, Cockroft, A, Curtis Lopez, C, Hilton, M, Ismail, N, Kouadria, M, Lee, L, MacConnachie, A, Monks, F, Mungroo, S, Nikoletopoulou, C, Sara, X, Shahid, A, Suresh, G, Wilcha, R, Atiyah, A, Dermanis, A, Gibbons, H, Hyde, A, Lawson, A, Lee, C, Leung-Tack, M, Li Saw Hee, J, Mostafa, O, Pattani, N, Plumbley-Jones, J, Pufal, K, Sanghera, J, Saram, S, Scadding, S, See, S, Stringer, H, Torrance, A, Vardon, H, Wyn-Griffiths, F, Brew, A, Kaur, G, Soni, D, Tickle, A, Akbar, Z, Appleyard, T, Figg, K, Jayawardena, P, Johnson, A, Kamran Siddiqui, Z, Lacy-Colson, J, Oatham, R, Rowlands, B, Sludden, E, Turnbull, C, Allin, D, Ansar, Z, Azeez, Z, Dale, VH, Garg, J, Horner, A, Knight, S, McGregor, C, McKenna, 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Davies, L, Dwaraknath, M, Farah, Y, Garner, J, Gureviciute, E, Hart, E, Javid, S, Kankam, HK, Kaur Toor, P, Kaz, R, Kermali, M, Khan, I, Mattson, A, McManus, A, Murphy, M, Nair, K, Ngemoh, D, Norton, E, Olabiran, A, Parry, L, Payne, T, Pillai, K, Punjabi, K, Raghunathan, A, Raza, M, Ritehnia, J, Simpson, G, Smith, W, Sodeinde, S, Studd, L, Subramaniam, M, Thomas, J, Towey, S, Tsang, E, Tuteja, D, Vasani, J, Vio, M, Adams, J, Anthony Wilkinson, J, Asvandi, S, Austin, T, Bald, A, Bix, E, Carrick, M, Chander, B, Cooper Drake, B, Crosbie, S, D Portela, S, Francis, D, Gallagher, C, Gillespie, R, Gravett, H, Gupta, P, Ilyas, C, Johny, J, Jones, A, Kinder, F, MacLeod, C, Macrow, C, Maqsood-Shah, A, Mather, J, McCann, L, McMahon, R, Mitham, E, Mohamed, M, Munton, E, Nightingale, K, O‚ÄôNeill, K, Onyemuchara, I, Senior, R, Shanahan, A, Sherlock, J, Spyridoulias, A, Stavrou, C, Stokes, D, Tamang, R, Taylor, E, Trafford, C, Uden, C, Waddington, C, Yassin, D, Zaman, M, Bangi, S, Cheng, T, Hussain, N, Imani-Masouleh, S, Mahasivam, G, McKnight, G, Ng, HL, Ota, HC, Pasha, T, Ravindran, W, Vishnu K, S, Zaman, S, Carr, W, Cope, S, Eagles, EJ, Howarth-Maddison, M, Li, CY, Reed, J, Ridge, A, Stubbs, T, Teasdaled, D, Umar, R, Worthington, J, Dhebri, A, Kalenderov, R, Alattas, A, Arain, Z, Bhudia, R, Chia, D, Daniel, S, Dar, T, Garland, H, Girish, M, Hampson, A, Lehovsky, K, Mullins, W, Omorphos, N, Vasdev, N, Venkatesh, A, Waldock, W, Bhandari, A, Brown, G, Choa, G, Eichenauer, CE, Ezennia, K, Kidwai, Z, Lloyd-Thomas, A, Macaskill Stewart, A, Massardi, C, Sinclair, E, Skajaa, N, Tan, I, Afsheen, N, Anuar, A, Azam, Z, Bhatia, P, Davies-kelly, N, Dickinson, S, Elkawafi, M, Ganapathy, M, Khoury, EG, Licudi, D, Mehta, V, Neequaye, S, Nita, G, Tay, VL, Zhao, S, Botsa, E, Cuthbert, H, Elliott, J, Furlepa, M, Lehmann, J, Mangtani, A, Narayan, A, Shah, D, Shaw, C, Zhao, Z, Beck, C, Caldwell, S, Clements, JM, French, B, Kenny, R, Kirk, S, McClung, A, McLaughlin, N, Watson, S, Whiteside, E, Alyacoubi, S, Arumugam, V, Beg, R, Dawas, K, Garg, S, Lloyd, ER, Mahfouz, Y, Manobharath, N, Moonesinghe, R, Morka, N, Prashar, J, Yip, S, Adeeko, ES, Ajekigbe, F, Bhat, A, Farrugia, A, Gurung, C, Long, T, Malik, B, Manirajan, S, Newport, D, Rayer, J, Ridha, A, Saran, T, Sinker, A, Waruingi, D, Allen, R, Al Sadek, Y, Alves do Canto Brum, H, Asharaf, H, Ashman, M, Balakumar, V, Barrington, J, Baskaran, R, Berry, A, Bhachoo, H, Bilal, A, Boaden, L, Chia, WL, Covell, G, Crook, D, Dadnam, F, Davis, L, De Berker, H, Doyle, C, Fox, C, Gruffydd-Davies, M, Hafouda, Y, Hill, A, Hubbard, E, Hunter, A, Inpadhas, V, Jamshaid, M, Jandu, G, Jeyanthi, M, Kantor, C, Kwak, SY, Malik, N, Matt, R, McNulty, P, Miles, C, Mohomed, A, Myat, P, Niharika, J, Nixon, A, O‚ÄôReilly, D, Parmar, K, Pengelly, S, Price, L, Ramsden, M, Turnor, R, Wales, E, Waring, H, Wu, M, Yang, T, Ye, TTS, Zander, A, Zeicu, C, Bellam, S, Francombe, J, Kawamoto, N, Rahman, MR, Sathyanarayana, A, Tang, HT, Hollingshead, J, Page, V, Sugarman, J, Chiong, J, Fung, E, Kan, SY, Kiang, J, Kok, J, Krahelski, O, Liew, MY, Lyell, B, Sharif, Z, Speake, D, Alim, L, Amakye, NY, Chandrasekaran, J, Chandratreya, N, Drake, J, Owoso, T, Thu, YM, Abou El Ela Bourquin, B, Alberts, J, Chapman, D, Rehnnuma, N, Ainsworth, K, Carpenter, H, Emmanuel, T, Fisher, T, Gabrel, M, Guan, Z, Hollows, S, Hotouras, A, Ip Fung Chun, N, Jaffer, S, Kallikas, G, Lewinsohn, B, Liu, FY, Mohammed, S, Rutherfurd, A, Situ, T, Stammer, A, Taylor, F, Thin, N, Urgesi, E, Zhang, N, Ahmad, MA, Bishop, A, Bowes, A, Dixit, A, Glasson, R, Hatta, S, Hatt, K, Larcombe, S, Preece, J, Riordan, E, Fegredo, D, Haq, MZ, Li, C, McCann, G, Stewart, D, Baraza, W, Bhullar, D, Burt, G, Coyle, J, Deans, J, Devine, A, Hird, R, Ikotun, O, Manchip, G, Ross, C, Storey, L, Tan, WWL, Tse, C, Warner, C, Whitehead, M, Wu, F, Court, EL, Crisp, E, Huttman, M, Mayes, F, Robertson, H, Rosen, H, Sandberg, C, 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, Reddy, R, Saeed, D, Simmonds, O, Singhal, G, Tron, K, Wickstone, C, Williams, R, Bradshaw, E, De Kock Jewell, V, Knight, C, Metezai, H, Mirza-Davies, A, Spink, D, and Wischhusen, S
Published: 2024
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47. Integrated charging scheduling and operational control for an electric bus network

Author: Lacombe, Rémi, Murgovski, Nikolce, Gros, Sébastien, and Kulcsár, Balázs
Published: 2024
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48. Leptomeningeal collaterals regulate reperfusion in ischemic stroke and rescue the brain from futile recanalization

Author: Binder, Nadine Felizitas, El Amki, Mohamad, Glück, Chaim, Middleham, William, Reuss, Anna Maria, Bertolo, Adrien, Thurner, Patrick, Deffieux, Thomas, Lambride, Chryso, Epp, Robert, Handelsmann, Hannah-Lea, Baumgartner, Philipp, Orset, Cyrille, Bethge, Philipp, Kulcsar, Zsolt, Aguzzi, Adriano, Tanter, Mickael, Schmid, Franca, Vivien, Denis, Wyss, Matthias Tasso, Luft, Andreas, Weller, Michael, Weber, Bruno, and Wegener, Susanne
Published: 2024
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49. Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach

Author: Varga, Balázs, Kulcsár, Balázs, and Chehreghani, Morteza Haghir
Subjects: Computer Science - Machine Learning
Abstract: This paper presents a constrained policy gradient algorithm. We introduce constraints for safe learning with the following steps. First, learning is slowed down (lazy learning) so that the episodic policy change can be computed with the help of the policy gradient theorem and the neural tangent kernel. Then, this enables us the evaluation of the policy at arbitrary states too. In the same spirit, learning can be guided, ensuring safety via augmenting episode batches with states where the desired action probabilities are prescribed. Finally, exogenous discounted sum of future rewards (returns) can be computed at these specific state-action pairs such that the policy network satisfies constraints. Computing the returns is based on solving a system of linear equations (equality constraints) or a constrained quadratic program (inequality constraints, regional constraints). Simulation results suggest that adding constraints (external information) to the learning can improve learning in terms of speed and transparency reasonably if constraints are appropriately selected. The efficiency of the constrained learning was demonstrated with a shallow and wide ReLU network in the Cartpole and Lunar Lander OpenAI gym environments. The main novelty of the paper is giving a practical use of the neural tangent kernel in reinforcement learning.
Published: 2021

50. PCS -- A Roadmap for Exoearth Imaging with the ELT

Author: Kasper, Markus, Urra, Nelly Cerpa, Pathak, Prashant, Bonse, Markus, Nousiainen, Jalo, Engler, Byron, Heritier, Cédric Taïssir, Kammerer, Jens, Leveratto, Serban, Rajani, Chang, Bristow, Paul, Louarn, Miska Le, Madec, Pierre-Yves, Ströbele, Stefan, Verinaud, Christophe, Glauser, Adrian, Quanz, Sascha P., Helin, Tapio, Keller, Christoph, Snik, Frans, Boccaletti, Anthony, Chauvin, Gaël, Mouillet, David, Kulcsár, Caroline, and Raynaud, Henri-François
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics
Abstract: The Planetary Camera and Spectrograph (PCS) for the Extremely Large Telescope (ELT) will be dedicated to detecting and characterising nearby exoplanets with sizes from sub-Neptune to Earth-size in the neighbourhood of the Sun. This goal is achieved by a combination of eXtreme Adaptive Optics (XAO), coronagraphy and spectroscopy. PCS will allow us not only to take images, but also to look for biosignatures such as molecular oxygen in the exoplanets' atmospheres. This article describes the PCS primary science goals, the instrument concept and the research and development activities that will be carried out over the coming years., Comment: 6 pages, 6 figures
Published: 2021
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