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1. Towards Specialized Wireless Networks Using an ML-Driven Radio Interface

Author

Szczech, Kamil, Wojnar, Maksymilian, Kosek-Szott, Katarzyna, Rusek, Krzysztof, Szott, Szymon, Marasinghe, Dileepa, Rajatheva, Nandana, Combes, Richard, Wilhelmi, Francesc, Jonsson, Anders, and Bellalta, Boris

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Future wireless networks will need to support diverse applications (such as extended reality), scenarios (such as fully automated industries), and technological advances (such as terahertz communications). Current wireless networks are designed to perform adequately across multiple scenarios so they lack the adaptability needed for specific use cases. Therefore, meeting the stringent requirements of next-generation applications incorporating technology advances and operating in novel scenarios will necessitate wireless specialized networks which we refer to as SpecNets. These networks, equipped with cognitive capabilities, dynamically adapt to the unique demands of each application, e.g., by automatically selecting and configuring network mechanisms. An enabler of SpecNets are the recent advances in artificial intelligence and machine learning (AI/ML), which allow to continuously learn and react to changing requirements and scenarios. By integrating AI/ML functionalities, SpecNets will fully leverage the concept of AI/ML-defined radios (MLDRs) that are able to autonomously establish their own communication protocols by acquiring contextual information and dynamically adapting to it. In this paper, we introduce SpecNets and explain how MLDR interfaces enable this concept. We present three illustrative use cases for wireless local area networks (WLANs): bespoke industrial networks, traffic-aware robust THz links, and coexisting networks. Finally, we showcase SpecNets' benefits in the industrial use case by introducing a lightweight, fast-converging ML agent based on multi-armed bandits (MABs). This agent dynamically optimizes channel access to meet varying performance needs: high throughput, low delay, or fair access. Results demonstrate significant gains over IEEE 802.11, highlighting the system's autonomous adaptability across diverse scenarios., Comment: 14 pages, 8 figures

Published
2025

2. IEEE 802.11bn Multi-AP Coordinated Spatial Reuse with Hierarchical Multi-Armed Bandits

Author

Wojnar, Maksymilian, Ciezobka, Wojciech, Kosek-Szott, Katarzyna, Rusek, Krzysztof, Szott, Szymon, Nunez, David, and Bellalta, Boris

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Coordination among multiple access points (APs) is integral to IEEE 802.11bn (Wi-Fi 8) for managing contention in dense networks. This letter explores the benefits of Coordinated Spatial Reuse (C-SR) and proposes the use of reinforcement learning to optimize C-SR group selection. We develop a hierarchical multi-armed bandit (MAB) framework that efficiently selects APs for simultaneous transmissions across various network topologies, demonstrating reinforcement learning's promise in Wi-Fi settings. Among several MAB algorithms studied, we identify the upper confidence bound (UCB) as particularly effective, offering rapid convergence, adaptability to changes, and sustained performance., Comment: 5 pages, 6 figures

Published
2025
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3. Maximum entropy and quantized metric models for absolute category ratings

Author

Saupe, Dietmar, Rusek, Krzysztof, Hägele, David, Weiskopf, Daniel, and Janowski, Lucjan

Subjects
Computer Science - Multimedia, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The datasets of most image quality assessment studies contain ratings on a categorical scale with five levels, from bad (1) to excellent (5). For each stimulus, the number of ratings from 1 to 5 is summarized and given in the form of the mean opinion score. In this study, we investigate families of multinomial probability distributions parameterized by mean and variance that are used to fit the empirical rating distributions. To this end, we consider quantized metric models based on continuous distributions that model perceived stimulus quality on a latent scale. The probabilities for the rating categories are determined by quantizing the corresponding random variables using threshold values. Furthermore, we introduce a novel discrete maximum entropy distribution for a given mean and variance. We compare the performance of these models and the state of the art given by the generalized score distribution for two large data sets, KonIQ-10k and VQEG HDTV. Given an input distribution of ratings, our fitted two-parameter models predict unseen ratings better than the empirical distribution. In contrast to empirical ACR distributions and their discrete models, our continuous models can provide fine-grained estimates of quantiles of quality of experience that are relevant to service providers to satisfy a target fraction of the user population., Comment: 5 pages

Published
2024

4. Spatially Selective Reconfigurable Intelligent Surfaces Through Element Permutation

Author

Rusek, Fredrik, Flordelis, Jose, Zhao, Kun, Bengtsson, Erik, and Zander, Olof

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

A standard reconfigurable intelligent surface (RIS) can be configured to reflect signals from an arbitrary impinging direction to an arbitrary outgoing direction. However, if a signal impinges from any other direction, said signal is reflected, with full beamforming gain, to a specific direction, which is easily determined. The goal of this paper is to propose a RIS which \emph{only} reflects signals from the configured impinging direction. This can be accomplished by a RIS architecture that permutes the antenna elements in the sense that a signal is re-radiated from a different antenna than the one receiving the signal. We analytically prove this fact, and also discuss several variants and hardware implementations., Comment: ICC 2024, 6 pages, 4 figures

Published
2024

5. Towards 6G MIMO: Massive Spatial Multiplexing, Dense Arrays, and Interplay Between Electromagnetics and Processing

Author

Björnson, Emil, Chae, Chan-Byoung, Heath Jr., Robert W., Marzetta, Thomas L., Mezghani, Amine, Sanguinetti, Luca, Rusek, Fredrik, Castellanos, Miguel R., Jun, Dongsoo, and Demir, Özlem Tugfe

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

The increasing demand for wireless data transfer has been the driving force behind the widespread adoption of Massive MIMO (multiple-input multiple-output) technology in 5G. The next-generation MIMO technology is now being developed to cater to the new data traffic and performance expectations generated by new user devices and services in the next decade. The evolution towards "ultra-massive MIMO (UM-MIMO)" is not only about adding more antennas but will also uncover new propagation and hardware phenomena that can only be treated by jointly utilizing insights from the communication, electromagnetic (EM), and circuit theory areas. This article offers a comprehensive overview of the key benefits of the UM-MIMO technology and the associated challenges. It explores massive multiplexing facilitated by radiative near-field effects, characterizes the spatial degrees-of-freedom, and practical channel estimation schemes tailored for massive arrays. Moreover, we provide a tutorial on EM theory and circuit theory, and how it is used to obtain physically consistent antenna and channel models. Subsequently, the article describes different ways to implement massive and dense antenna arrays, and how to co-design antennas with signal processing. The main open research challenges are identified at the end., Comment: Submitted to Proceedings of the IEEE, 36 pages, 23 figures

Published
2024

6. Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks

Author

Almasan, Paul, Rusek, Krzysztof, Xiao, Shihan, Shi, Xiang, Cheng, Xiangle, Cabellos-Aparicio, Albert, and Barlet-Ros, Pere

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Storing network traffic data is key to efficient network management; however, it is becoming more challenging and costly due to the ever-increasing data transmission rates, traffic volumes, and connected devices. In this paper, we explore the use of neural architectures for network traffic compression. Specifically, we consider a network scenario with multiple measurement points in a network topology. Such measurements can be interpreted as multiple time series that exhibit spatial and temporal correlations induced by network topology, routing, or user behavior. We present \textit{Atom}, a neural traffic compression method that leverages spatial and temporal correlations present in network traffic. \textit{Atom} implements a customized spatio-temporal graph neural network design that effectively exploits both types of correlations simultaneously. The experimental results show that \textit{Atom} can outperform GZIP's compression ratios by 50\%-65\% on three real-world networks., Comment: 7 pages, 6 figures, 2nd International Workshop on Graph Neural Networking (GNNet '23)

Published
2023
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7. Increased Multiplexing Gain with Reconfigurable Surfaces: Simultaneous Channel Orthogonalization and Information Embedding

Author

Alegria, Juan Vidal, Vieira, Joao, and Rusek, Fredrik

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

Reconfigurable surface (RS) has been shown to be an effective solution for improving wireless communication links in general multi-user multiple-input multiple-output (MU-MIMO) setting. Current research efforts have been largely directed towards the study of reconfigurable intelligent surface (RIS), which corresponds to an RS made of passive reconfigurable elements with only phase shifting capabilities. RIS constitutes a cost- and energy- efficient solution for increased beamforming gain since it allows to generate constructive interference towards desired directions, e.g., towards a base station (BS). However, in many situations, multiplexing gain may have greater impact on the achievable transmission rates and number of simultaneously connected devices, while RIS has only been able to achieve minor improvements in this aspect. Recent work has proposed the use of alternative RS technologies, namely amplitude-reconfigurable intelligent surface (ARIS) and fully-reconfigurable intelligent surface (FRIS), to achieve perfect orthogonalization of MU-MIMO channels, thus allowing for maximum multiplexing gain at reduced complexity. In this work we consider the use of ARIS and FRIS for simultaneously orthogonalizing a MU-MIMO channel, while embedding extra information in the orthogonalized channel. We show that the resulting achievable rates allow for full exploitation of the degrees of freedom in a MU-MIMO system with excess of BS antennas., Comment: 6 pages, 2 figures, accepted at IEEE GLOBECOM 2023

Published
2023

8. Trade-Offs in Decentralized Multi-Antenna Architectures: Sparse Combining Modules for WAX Decomposition

Author

Alegría, Juan Vidal and Rusek, Fredrik

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

With the increase in the number of antennas at base stations (BSs), centralized multi-antenna architectures have encountered scalability problems from excessive interconnection bandwidth to the central processing unit (CPU), as well as increased processing complexity. Thus, research efforts have been directed towards finding decentralized receiver architectures where a part of the processing is performed at the antenna end (or close to it). A recent paper put forth an information-lossless trade-off between level of decentralization (inputs to CPU) and decentralized processing complexity (multiplications per antenna). This trade-off was obtained by studying a newly defined matrix decomposition--the WAX decomposition--which is directly related to the information-lossless processing that should to be applied in a general framework to exploit the trade-off. {The general framework consists of three stages: a set of decentralized filters, a linear combining module, and a processing matrix applied at the CPU; these three stages are linear transformations which can be identified with the three constituent matrices of the WAX decomposition. The previous work was unable to provide explicit constructions for linear combining modules which are valid for WAX decomposition, while it remarked the importance of these modules being sparse with 1s and 0s so they could be efficiently implemented using hardware accelerators.} In this work we present a number of constructions, as well as possible variations of them, for effectively defining linear combining modules which can be used in the WAX decomposition. Furthermore, we show how these structures facilitate decentralized calculation of the WAX decomposition for applying information-lossless processing in architectures with an arbitrary level of decentralization., Comment: 16 pages, 6 figures, accepted for publication at IEEE Transactions on Signal Processing

Published
2023
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9. Simultaneous calculation of elastic scattering, fusion, and direct cross sections for reactions of weakly-bound projectiles

Author

Maridi, H. M., Keeley, N., and Rusek, K.

Subjects
Nuclear Theory
Abstract

Simultaneous analyses are performed for cross section data of elastic scattering, fusion, Coulomb breakup, and other direct yields for the $^{6}$He+$^{209}$Bi system at near-Coulomb-barrier energies. The bare and dynamical polarization potentials are constructed microscopically from the structure of the colliding nuclei and they reproduce all the data well with only one adjustable parameter. This method of calculation can be successfully applied to the reactions of weakly-bound and exotic projectiles with heavy targets., Comment: 11 pages, 7 figures

Published
2023

13. Channel Orthogonalization with Reconfigurable Surfaces

Author

Alegria, Juan Vidal and Rusek, Fredrik

Subjects
Computer Science - Information Theory, Electrical Engineering and Systems Science - Signal Processing
Abstract

Orthogonal multi-user multiple-input multiple-output (MU-MIMO) channels allow for optimum performance with simplified precoding/equalization, and they achieve maximum multiplexing gain which is shared fairly among users. Reconfigurable intelligent surface (RIS) constitutes a promising cost-efficient solution to improve the wireless channel, since they consist of passive reflecting elements able to adjust the phases of the incoming waves. However, it is still widely unclear how these surfaces can improve spatial-multiplexing. In fact, the common RIS model cannot achieve perfect orthogonalization of MU-MIMO channels with a reasonable number of elements. Furthermore, efficient channel estimation algorithms for RIS, which are key for taking advantage of its benefits, are still a matter of research. We study two types of reconfigurable surfaces (RSs), namely amplitude-reconfigurable intelligent surface (ARIS) and fully-reconfigurable intelligent surface (FRIS), with extended capabilities over RIS. We show how these RSs allow for perfect channel orthogonalization, and, by minimizing the applied power, we show that they can potentially be implemented without the need of amplification. We also present an efficient channel estimation method for each of them that allows the base station (BS) to select the desired propagation channel., Comment: Presented at IEEE GLOBECOM Workshops 2022

Published
2023
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14. FTMRate: Collision-Immune Distance-based Data Rate Selection for IEEE 802.11 Networks

Author

Ciezobka, Wojciech, Wojnar, Maksymilian, Kosek-Szott, Katarzyna, Szott, Szymon, and Rusek, Krzysztof

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Data rate selection algorithms for Wi-Fi devices are an important area of research because they directly impact performance. Most of the proposals are based on measuring the transmission success probability for a given data rate. In dense scenarios, however, this probing approach will fail because frame collisions are misinterpreted as erroneous data rate selection. We propose FTMRate which uses the fine timing measurement (FTM) feature, recently introduced in IEEE 802.11. FTM allows stations to measure their distance from the AP. We argue that knowledge of the distance from the receiver can be useful in determining which data rate to use. We apply statistical learning (a form of machine learning) to estimate the distance based on measurements, estimate channel quality from the distance, and select data rates based on channel quality. We evaluate three distinct estimation approaches: exponential smoothing, Kalman filter, and particle filter. We present a performance evaluation of the three variants of FTMRate and show, in several dense and mobile (though line-of-sight only) scenarios, that it can outperform two benchmarks and provide close to optimal results in IEEE 802.11ax networks., Comment: 11 pages, 8 figures, 5 tables

Published
2023
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15. Leveraging Spatial and Temporal Correlations for Network Traffic Compression

Author

Almasan, Paul, Rusek, Krzysztof, Xiao, Shihan, Shi, Xiang, Cheng, Xiangle, Cabellos-Aparicio, Albert, and Barlet-Ros, Pere

Subjects
Computer Science - Networking and Internet Architecture
Abstract

The deployment of modern network applications is increasing the network size and traffic volumes at an unprecedented pace. Storing network-related information (e.g., traffic traces) is key to enable efficient network management. However, this task is becoming more challenging due to the ever-increasing data transmission rates and traffic volumes. In this paper, we present a novel method for network traffic compression that exploits spatial and temporal patterns naturally present in network traffic. We consider a realistic scenario where traffic measurements are performed at multiple links of a network topology using tools like SNMP or NetFlow. Such measurements can be seen as multiple time series that exhibit spatial and temporal correlations induced by the network topology, routing or user behavior. Our method leverages graph learning methods to effectively exploit both types of correlations for traffic compression. The experimental results show that our solution is able to outperform GZIP, the \textit{de facto} traffic compression method, improving by 50\%-65\% the compression ratio on three real-world networks., Comment: 11 pages, 14 figures

Published
2023

16. RouteNet-Fermi: Network Modeling with Graph Neural Networks

Author

Ferriol-Galmés, Miquel, Paillisse, Jordi, Suárez-Varela, José, Rusek, Krzysztof, Xiao, Shihan, Shi, Xiang, Cheng, Xiangle, Barlet-Ros, Pere, and Cabellos-Aparicio, Albert

Subjects
Computer Science - Networking and Internet Architecture, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Network models are an essential block of modern networks. For example, they are widely used in network planning and optimization. However, as networks increase in scale and complexity, some models present limitations, such as the assumption of Markovian traffic in queuing theory models, or the high computational cost of network simulators. Recent advances in machine learning, such as Graph Neural Networks (GNN), are enabling a new generation of network models that are data-driven and can learn complex non-linear behaviors. In this paper, we present RouteNet-Fermi, a custom GNN model that shares the same goals as Queuing Theory, while being considerably more accurate in the presence of realistic traffic models. The proposed model predicts accurately the delay, jitter, and packet loss of a network. We have tested RouteNet-Fermi in networks of increasing size (up to 300 nodes), including samples with mixed traffic profiles -- e.g., with complex non-Markovian models -- and arbitrary routing and queue scheduling configurations. Our experimental results show that RouteNet-Fermi achieves similar accuracy as computationally-expensive packet-level simulators and scales accurately to larger networks. Our model produces delay estimates with a mean relative error of 6.24% when applied to a test dataset of 1,000 samples, including network topologies one order of magnitude larger than those seen during training. Finally, we have also evaluated RouteNet-Fermi with measurements from a physical testbed and packet traces from a real-life network., Comment: This paper has been accepted for publication at IEEE/ACM Transactions on Networking 2023 (DOI: 10.1109/TNET.2023.3269983). \copyright 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses

Published
2022
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20. Fast Traffic Engineering by Gradient Descent with Learned Differentiable Routing

Author

Rusek, Krzysztof, Almasan, Paul, Suárez-Varela, José, Chołda, Piotr, Barlet-Ros, Pere, and Cabellos-Aparicio, Albert

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Emerging applications such as the metaverse, telesurgery or cloud computing require increasingly complex operational demands on networks (e.g., ultra-reliable low latency). Likewise, the ever-faster traffic dynamics will demand network control mechanisms that can operate at short timescales (e.g., sub-minute). In this context, Traffic Engineering (TE) is a key component to efficiently control network traffic according to some performance goals (e.g., minimize network congestion). This paper presents Routing By Backprop (RBB), a novel TE method based on Graph Neural Networks (GNN) and differentiable programming. Thanks to its internal GNN model, RBB builds an end-to-end differentiable function of the target TE problem (MinMaxLoad). This enables fast TE optimization via gradient descent. In our evaluation, we show the potential of RBB to optimize OSPF-based routing ($\approx$25\% of improvement with respect to default OSPF configurations). Moreover, we test the potential of RBB as an initializer of computationally-intensive TE solvers. The experimental results show promising prospects for accelerating this type of solvers and achieving efficient online TE optimization., Comment: NOTE:This work has been accepted for presentation in the International Conference on Network and Service Management (CNSM)

Published
2022

21. Reproducibility Companion Paper: Describing Subjective Experiment Consistency by $p$-Value P-P Plot

Author

Nawała, Jakub, Janowski, Lucjan, Ćmiel, Bogdan, Rusek, Krzysztof, Kastner, Marc A., and Zahálka, Jan

Subjects
Computer Science - Multimedia, H.5.1, G.3
Abstract

In this paper we reproduce experimental results presented in our earlier work titled "Describing Subjective Experiment Consistency by $p$-Value P-P Plot" that was presented in the course of the 28th ACM International Conference on Multimedia. The paper aims at verifying the soundness of our prior results and helping others understand our software framework. We present artifacts that help reproduce tables, figures and all the data derived from raw subjective responses that were included in our earlier work. Using the artifacts we show that our results are reproducible. We invite everyone to use our software framework for subjective responses analyses going beyond reproducibility efforts., Comment: Please refer to the original publication: https://dl.acm.org/doi/10.1145/3474085.3477935 Related paper: https://dl.acm.org/doi/abs/10.1145/3394171.3413749 or arXiv:2009.13372

Published
2022
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22. Immediate effects of acute Mars mission equivalent doses of SEP and GCR radiation on the murine gastrointestinal system-protective effects of curcumin-loaded nanolipoprotein particles (cNLPs).

Author

Diaz, Jonathan, Kuhlman, Bradford, Edenhoffer, Nicholas, Evans, Angela, Martin, Kelly, Guida, Peter, Rusek, Adam, Atala, Anthony, Coleman, Matthew, Wilson, Paul, Almeida-Porada, Graça, and Porada, Christopher

Subjects
DNA damage, H2AX foci, HZE exposure, apoptosis, countermeasure, curcumin, gastrointestinal, space radiation
Abstract

INTRODUCTION: Missions beyond low Earth orbit (LEO) will expose astronauts to ionizing radiation (IR) in the form of solar energetic particles (SEP) and galactic cosmic rays (GCR) including high atomic number and energy (HZE) nuclei. The gastrointestinal (GI) system is documented to be highly radiosensitive with even relatively low dose IR exposures capable of inducing mucosal lesions and disrupting epithelial barrier function. IR is also an established risk factor for colorectal cancer (CRC) with several studies examining long-term GI effects of SEP/GCR exposure using tumor-prone APC mouse models. Studies of acute short-term effects of modeled space radiation exposures in wildtype mouse models are more limited and necessary to better define charged particle-induced GI pathologies and test novel medical countermeasures (MCMs) to promote astronaut safety. METHODS: In this study, we performed ground-based studies where male and female C57BL/6J mice were exposed to γ-rays, 50 MeV protons, or 1 GeV/n Fe-56 ions at the NASA Space Radiation Laboratory (NSRL) with histology and immunohistochemistry endpoints measured in the first 24 h post-irradiation to define immediate SEP/GCR-induced GI alterations. RESULTS: Our data show that unlike matched γ-ray controls, acute exposures to protons and iron ions disrupts intestinal function and induces mucosal lesions, vascular congestion, epithelial barrier breakdown, and marked enlargement of mucosa-associated lymphoid tissue. We also measured kinetics of DNA double-strand break (DSB) repair using gamma-H2AX- specific antibodies and apoptosis via TUNEL labeling, noting the induction and disappearance of extranuclear cytoplasmic DNA marked by gamma-H2AX only in the charged particle-irradiated samples. We show that 18 h pre-treatment with curcumin-loaded nanolipoprotein particles (cNLPs) delivered via IV injection reduces DSB-associated foci levels and apoptosis and restore crypt villi lengths. DISCUSSION: These data improve our understanding of physiological alterations in the GI tract immediately following exposures to modeled space radiations and demonstrates effectiveness of a promising space radiation MCM.

Published
2023

24. Calculation of Coulomb breakup cross sections using a new Coulomb dynamical polarization potential

Author

Maridi, H. M., Rusek, K., and Keeley, N.

Subjects
Nuclear Theory
Abstract

A new method for calculating the Coulomb breakup of unstable neutron-rich isotopes at high energies is presented. The calculations employ the eikonal approximation and use a new Coulomb dynamical polarization potential (CDPP), calculated by solving the Schr\"odinger equation for the entire motion of the exotic projectile as a two-body cluster structure using the adiabatic approximation and incorporating excitations to the continuum. Calculations for some exotic isotopes are compared with Coulomb dissociation cross section data and found to be in good agreement., Comment: 7 pages, 3 figures, references added, energy convolution is included, results changed slightly, two figures (calculations for two-neutron halo projectiles) deleted

Published
2022
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25. Generalised Score Distribution: Underdispersed Continuation of the Beta-Binomial Distribution

Author

Ćmiel, Bogdan, Nawała, Jakub, Janowski, Lucjan, and Rusek, Krzysztof

Subjects
Statistics - Applications, Computer Science - Multimedia
Abstract

A class of discrete probability distributions contains distributions with limited support. A typical example is some variant of a Likert scale, with response mapped to either the $\{1, 2, \ldots, 5\}$ or $\{-3, -2, \ldots, 2, 3\}$ set. An interesting subclass of discrete distributions with finite support are distributions limited to two parameters and having no more than one change in probability monotonicity. The main contribution of this paper is to propose a family of distributions fitting the above description, which we call the Generalised Score Distribution (GSD) class. The proposed GSD class covers the whole set of possible mean and variances, for any fixed and finite support. Furthermore, the GSD class can be treated as an underdispersed continuation of a reparametrized beta-binomial distribution. The GSD class parameters are intuitive and can be easily estimated by the method of moments. We also offer a Maximum Likelihood Estimation (MLE) algorithm for the GSD class and evidence that the class properly describes response distributions coming from 24 Multimedia Quality Assessment experiments. At last, we show that the GSD class can be represented as a sum of dichotomous zero-one random variables, which points to an interesting interpretation of the class., Comment: All authors contributed equally. 21 pages, 15 figures

Published
2022

32. Strong coupling effects on near-barrier 15C + 208Pb elastic scattering

Author

V.G. Távora, J.D. Ovejas, I. Martel, N. Keeley, L. Acosta, M.J.G. Borge, O. Tengblad, A.A. Arokiaraj, M. Babo, J. Cederkall, N. Ceylan, A. Di Pietro, J.P. Fernández-García, P. Figuera, L.M. Fraile, H.O.U. Fynbo, D. Galaviz, C. García-Ramos, R. Honório, J.H. Jensen, B. Jonson, K.W. Kemper, A. Knyazev, R. Kotak, T. Kurtukian-Nieto, M. Madurga, G. Marquínez-Durán, M. Munch, A.K. Orduz, J. Park, L. Peralta, A. Perea, T. Pérez-Alvarez, R. Raabe, M. Renaud, K. Riisager, K. Rusek, A.M. Sánchez-Benítez, J. Sánchez-Segovia, P. Teubig, S. Viñals, M. Wolińska-Cichocka, R. Wolski, and J. Yang

Subjects
Direct nuclear reactions, Radioactive beams, Elastic scattering, Optical model, Coupled channels, Physics, QC1-999
Abstract

The presence of a neutron halo in 15C has been demonstrated in several reaction experiments at intermediate energies. In the present study, the dynamical effects of this structure are observed for the first time at Coulomb barrier energies in the 15C + 208Pb quasi-elastic scattering at Elab=65 MeV, measured at the HIE-ISOLDE facility, CERN using the high-granularity detector array GLORIA. A combined continuum discretised coupled channels and coupled reaction channels calculation describes the data well and significant coupling effects due both to breakup and single-neutron stripping are identified.

Published
2024
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33. The Effects of a Cross-Curricular Reading Instructional Program on General Music Students in the Fourth Grade

Author

Adam Bernard Rusek

Abstract

The purpose of this quasi-experimental quantitative study was to analyze the effect of a literacy program on general music students in the fourth grade within an urban public school district in Northeastern Illinois. Two fourth grade classes, instructed by two different licensed music teachers, received the treatment program of one Lyrics2Learn lesson in each music class and two additional courses, instructed by the same two music teachers, served as the control. Music classes occurred at a frequency of once every nine instructional days. Lyrics2Learn provides cross-curricular written English language lyrics in paragraphical texts displayed during songs of various styles. Following each presentation of the lesson, students completed the internal assessment tool to gauge fluency and comprehension progress across each instructional class. Through the use of the Lyrics2Learn program, student data on the Star360 assessment was evaluated to determine potential growth among all fourth grade students as well as potential growth of English Learners notated as Parent Refusal. Research questions were analyzed using a t-test analysis at the [alpha]=0.05 level of confidence. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2023

34. Black Lives Matter and Partisan Media

Author

Sei-Hill Kim, Zdenek Rusek Kotva, Ali Zain, and Yu Chen

Subjects
Black Lives Matter, partisan media, echo chamber, political polarization, public opinion, Journalism. The periodical press, etc., PN4699-5650, Communication. Mass media, P87-96
Abstract

Analyzing data from a survey of U.S. adults (N = 509), our study examines the role of partisan media in (a) shaping people’s perceptions of the Black Lives Matter (BLM) movement, (b) producing an echo-chamber effect, influencing users to believe that other people have an opinion similar to their own, and (c) creating a polarized public opinion environment, where people hold more extreme perspectives on BLM. Left-wing media consumption was positively correlated with favorable perceptions of BLM, while right-wing media consumption had a negative correlation, suggesting that partisan media could influence users’ own perceptions of BLM. Also, left-wing media consumption was positively correlated with the belief that others held favorable views of BLM, while right-wing media consumption was negatively correlated with such a belief, suggesting that partisan media could affect one’s beliefs about others’ perceptions. Supporting its role in producing an echo-chamber effect, frequent right-wing media usage was associated with a smaller difference between one’s own views and their assessment of others’ views regarding BLM. Finally, there was a positive correlation between left-wing media consumption and having extreme perceptions of BLM, suggesting that the use of left-wing media could play a role in creating a polarized public opinion climate.

Published
2024
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36. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants

Author

Zhou, Bin, Bennett, James E, Wickham, Aidan P, Singleton, Rosie K, Mishra, Anu, Carrillo-Larco, Rodrigo M, Ikeda, Nayu, Jain, Lakshya, Barradas-Pires, Ana, Heap, Rachel A, Lhoste, Victor PF, Sheffer, Kate E, Phelps, Nowell H, Rayner, Archie W, Gregg, Edward W, Woodward, Mark, Stevens, Gretchen A, Iurilli, Maria LC, Danaei, Goodarz, Di Cesare, Mariachiara, Aguilar-Salinas, Carlos A, Ahmad, Noor Ani, Bovet, Pascal, Chen, Zhengming, Damasceno, Albertino, Filippi, Sarah L, Janszky, Imre, Kengne, Andre P, Khang, Young-Ho, Khunti, Kamlesh, Laxmaiah, Avula, Lim, Lee-Ling, Lissner, Lauren, Margozzini, Paula, Mbanya, Jean Claude N, McGarvey, Stephen T, Shaw, Jonathan E, Söderberg, Stefan, Soto-Mota, Luis Adrián, Wang, Junyang, Zaccardi, Francesco, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Aekplakorn, Wichai, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkhatib, Buthaina M, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amougou, Norbert, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Auvinen, Juha, Avdičová, Mária, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Bacopoulou, Flora, Bahijri, Suhad, Bajramovic, Izet, Balakrishna, Nagalla, Bamoshmoosh, Mohamed, Banach, Maciej, Bandosz, Piotr, Banegas, José R, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Basit, Abdul, Bastos, Joao Luiz, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bettiol, Heloísa, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bhargava, Santosh K, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boggia, Jose G, Bogova, Elena, Bonaccio, Marialaura, Bonilla-Vargas, Alice, Borghs, Herman, Botomba, Steve, Bourne, Rupert, Boymatova, Khadichamo, Braeckman, Lutgart, Braithwaite, Tasanee, Brajkovich, Imperia, Branca, Francesco, Brenner, Hermann, Brewster, Lizzy M, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brug, Johannes, Bugge, Anna, Buntinx, Frank, Buoncristiano, Marta, Burns, Con, Cabrera de León, Antonio, Caixeta, Roberta B, Cama, Tilema, Can, Günay, Cândido, Ana Paula C, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardoso, Viviane C, Carlsson, Axel C, Casanueva, Felipe F, Casas, Maribel, Censi, Laura, Cervantes‐Loaiza, Marvin, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Queenie, Chaturvedi, Nish, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Chong, Chean Lin, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Cohen, Emmanuel, Confortin, Susana C, Coppinger, Tara C, Cortés, Lilia Yadira, Cosmin, Cojocaru R, Costanzo, Simona, Cowan, Melanie J, Cowell, Chris, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Cucu, Alexandra M, Cureau, Felipe V, Cuschieri, Sarah, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva-Ferreira, Haroldo, Dahm, Christina C, Dallongeville, Jean, Dankner, Rachel, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, de Oliveira, Paula Duarte, de Paiva, Karina Mary, De Ridder, Karin, de Valois Correia Júnior, Marco Aurélio, Deepa, Mohan, DeGennaro, Vincent Jr, Demarest, Stefaan, Dennison, Elaine, Deschamps, Valérie, Dhimal, Meghnath, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Donoso, Silvana P, Dorobantu, Maria, Dörr, Marcus, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duante, Charmaine A, Duboz, Priscilla, Duda, Rosemary B, Duleva, Vesselka L, Dushpanova, Anar, Dyussupova, Azhar, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eghtesad, Sareh, Ekelund, Ulf, El-Khateeb, Mohammad, El Ati, Jalila, Elosua, Roberto, Enang, Ofem, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Esmaeili, Ali, Evans, Roger G, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farzadfar, Farshad, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Fernando, Desha R, Ferrante, Daniel, Ferrari, Gerson, Ferrari, Marika, Ferreccio, Catterina, Ferrer, Eldridge, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Forsner, Maria, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Furdela, Viktoriya, Furusawa, Takuro, Gabriela, Stefan Adela, Gaciong, Zbigniew, Galán Cuesta, Manuel, Galbarczyk, Andrzej, Galcheva, Sonya V, Galfo, Myriam, Garcia-de-la-Hera, Manoli, Garcia, Pablo, Garnett, Sarah P, Gasull, Magda, Gazzinelli, Andrea, Gehring, Ulrike, Gerdts, Eva, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Ghimire, Anup, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Godara, Ramesh, Godos, Justyna, Goldberg, Marcel, Gómez, Georgina, Gómez Gómez, Jesús Humberto, Gomez, Luis F, Gómez, Santiago F, Gomula, Aleksandra, Gonçalves Cordeiro da Silva, Bruna, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D, Gonzalez-Chica, David A, González-Gil, Esther M, Gonzalez-Gross, Marcela, González-Rivas, Juan P, Gonzalez, Angel R, Gottrand, Frederic, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Grodzicki, Tomasz, Grøholt, Else Karin, Grøntved, Anders, Guajardo, Viviana, Guallar-Castillón, Pilar, Guerchet, Maëlenn, Guerrero, Ramiro, Guimaraes, Andre L, Gujral, Unjali P, Gulliford, Martin C, Gunter, Marc J, Gupta, Rajeev, Gureje, Oye, Gurinović, Mirjana A, Gurzkowska, Beata, Gutierrez, Laura, Gwee, Xinyi, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hanekom, Willem A, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hardy, Louise, Hari Kumar, Rachakulla, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Heinen, Mirjam, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M, Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Hill, Allan G, Ho, Sai Yin, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hoogendijk, Emiel O, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huidumac Petrescu, Constanta, Huisman, Martijn, Husseini, Abdullatif, Huybrechts, Inge, Hwalla, Nahla, Iacoviello, Licia, Iakupova, Ellina M, Iannone, Anna G, Igland, Jannicke, Ijoma, Chinwuba, Iotova, Violeta, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ittermann, Till, Ivanova-Pandourska, Ivaila Y, Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T, Jaddou, Hashem Y, Jadoul, Michel, Jafar, Tazeen, Jan, Nataša, Janus, Edward, Jarani, Juel, Jarnig, Gerald, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jha, Anjani Kumar, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Jokelainen, Jari J, Jonas, Jost B, Joshi, Pradeep, Joshi, Rohina, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek J, Juolevi, Anne, Juresa, Vesna, Jureša, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kadvan, Agnes L, Kafatos, Anthony, Kajantie, Eero O, Kakutia, Natia, Kállayová, Daniela, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kannan, Srinivasan, Kapantais, Efthymios, Karaglani, Eva, Karakosta, Argyro, Karki, Khem B, Kassi Anicet, Adoubi, Katibeh, Marzieh, Katulanda, Prasad, Katzmarzyk, Peter T, Kauhanen, Jussi, Kazakbaeva, Gyulli M, Kaze, François F, Ke, Calvin, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Keramati, Maryam, Kersting, Mathilde, Khader, Yousef Saleh, Khaledifar, Arsalan, Khalili, Davood, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J, Kiechl, Stefan, Kim, Hyeon Chang, Klakk, Heidi, Klanarong, Suntara, Klanova, Jana, Klimek, Magdalena, Knoflach, Michael, Kobel, Susanne, Koirala, Bhawesh, Kolle, Elin, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Koussoh Simone, Malik, Kovács, Éva, Kovalskys, Irina, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriemler, Susi, Kristensen, Peter Lund, Krizan, Helena, Kroker-Lobos, Maria F, Krokstad, Steinar, Kruger, Herculina S, Kruger, Ruan, Kryst, Łukasz, Kubinova, Ruzena, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kulimbet, Mukhtar, Kumari, Meena, Kunešová, Marie, Kurjata, Pawel, Kyobutungi, Catherine, La, Quang Ngoc, Labadarios, Demetre, Lachat, Carl, Lai, Daphne, Laid, Youcef, Lall, Lachmie, Landaeta Jimenez, Maritza, Landais, Edwige, Lankila, Tiina, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Lateva, Mina P, Latt, Tint Swe, Laurenzi, Martino, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Lehtimäki, Terho, Lemogoum, Daniel, Leong, Elvynna, Leszczak, Justyna, Leung, Gabriel M, Li, Yanping, Liivak, Merike, Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Hsien-Ho, Lind, Lars, Litwin, Mieczyslaw, Liu, Liping, Liu, Xiaotian, Longo Abril, Guadalupe, Lopes, Oscar, Lopez-Garcia, Esther, López-Gil, José Francisco, Lopez, Tania, Lozano, José Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, M'Buyamba-Kabangu, Jean-René, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Madar, Ahmed A, Maestre, Gladys E, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Makdisse, Marcia, Malekpour, Mohammad-Reza, Malekzadeh, Fatemeh, Malekzadeh, Reza, Mallikharjuna Rao, Kodavanti, Malyutina, Sofia, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mansour-Ghanaei, Fariborz, Manzato, Enzo, Mapatano, Mala Ali, Maria-Magdalena, Rosu, Mariño, Joany, Markaki, Anastasia, Marques, Larissa Pruner, Marrugat, Jaume, Martorell, Reynaldo, Maruszczak, Katharina, Masala, Giovanna, Mascarenhas, Luis P, Masimango Imani, Mannix, Masinaei, Masoud, Mathiesen, Ellisiv B, Matijasevich, Alicia, Matłosz, Piotr, Matsha, Tandi E, Matsudo, Victor, Matteo, Giletta, Maulik, Pallab K, Mavrogianni, Christina, Mc Donald Posso, Anselmo J, McFarlane, Shelly R, McLean, Rachael M, Mediene Benchekor, Sounnia, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Melgarejo, Jesus D, Méndez, Fabián, Mendivil, Carlos O, Mendoza Montano, Carlos, Menezes, Ana Maria B, Mensink, Gert BM, Mereke, Alibek, Meshram, Indrapal I, Meto, Diane T, Meyer, Haakon E, Mi, Jie, Miłkowska, Karolina, Miller, Jody C, Milushkina, Olga, Minderico, Cláudia S, Mini, GK, Miquel, Juan Francisco, Miranda, J Jaime, Mirjalili, Mohammad Reza, Mišigoj-Duraković, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Møller, Niels C, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monroy-Valle, Michele M, Montenegro Mendoza, Roger A, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Moradpour, Farhad, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morgan, Karen, Moschonis, George, Moslem, Alireza, Mosquera, Mildrey, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muca, Florian, Mugoša, Boban, Munroe, Patricia B, Mursu, Jaakko, Musa, Kamarul Imran, Musić Milanović, Sanja, Musil, Vera, Musinguzi, Geofrey, Mustafa, Norlaila, Muyer, Muel Telo Marie-Claire, Nabipour, Iraj, Naidu, Balkish M, Najafi, Farid, Nalecz, Hanna, Námešná, Jana, Narayan, KM Venkat, Naseri, Take, Nathalie, Michels, Neelapaichit, Nareemarn, Nejatizadeh, Azim, Nenko, Ilona, Nervi, Flavio, Neuhauser, Hannelore K, Ng, Tze Pin, Nguyen, Chung T, Nguyen, Quang V, Nguyen, Quang Ngoc, Ni, Michael Y, Nie, Peng, Nieto-Martínez, Ramfis E, Niiranen, Teemu J, Ninomiya, Toshiharu, Nishi, Nobuo, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Norton, Kevin I, Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nuhoğlu, Irfan, Nurk, Eha, Nuwaha, Fred, Nyirenda, Moffat, O'Neill, Terence W, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Odili, Augustine N, Oh, Kyungwon, Ohtsuka, Ryutaro, Oldenburg, Brian, Olié, Valérie, Omar, Mohd Azahadi, Omar, Saeed M, Onat, Altan, Ong, Sok King, Onland-Moret, N Charlotte, Ono, Lariane M, Onodugo, Obinna, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Ottendahl, Charlotte B, Otu, Akaninyene, Overvad, Kim, Owusu-Dabo, Ellis, Padez, Cristina P, Pagkalos, Ioannis, Pajula, Natalja, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panza, Francesco, Paoli, Mariela, Papadopoulou, Sousana K, Pareja, Rossina G, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Pasquet, Patrick, Patel, Nikhil D, Pavlyshyn, Halyna, Pechlaner, Raimund, Pećin, Ivan, Pedro, João M, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Karen GDA, Peres, Marco A, Perez-Londoño, Agustín, Pérez, Cynthia M, Peterkova, Valentina, Petrovna Kovtun, Olga, Peykari, Niloofar, Pham, Son Thai, Pichardo, Rafael N, Pierre-Marie, Preux, Pikhart, Hynek, Pilav, Aida, Piler, Pavel, Piwonska, Aleksandra, Pizarro, Andreia N, Plata, Silvia, Pop, Raluca M, Popkin, Barry M, Popovic, Stevo R, Porta, Miquel, Poudyal, Anil, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Pradeepa, Rajendra, Price, Alison J, Prista, Antonio, Providencia, Rui, Puder, Jardena J, Pudule, Iveta, Puhakka, Soile, Puiu, Maria, Punab, Margus, Qorbani, Mostafa, Quialheiro, Anna, Quintana, Hedley K, Quiroga-Padilla, Pedro J, Quoc Bao, Tran, Rach, Stefan, Rahimikazerooni, Salar, Rahman, Mahmudur, Raitakari, Olli, Rakhmatulloev, Sherali, Rakovac, Ivo, Ramachandran, Ambady, Ramadan, Otim PC, Ramirez-Zea, Manuel, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Ramsay, Sheena E, Rangel Junior, João FLB, Rangel Reina, Daniel A, Rangelova, Lalka S, Rarra, Vayia, Rashidi, Mohammad-Mahdi, Rech, Cassiano Ricardo, Redon, Josep, Regecová, Valéria, Renner, Jane DP, Repasy, Judit A, Reuter, Cézane P, Revilla, Luis, Reynolds, Andrew, Rezaei, Negar, Rezaianzadeh, Abbas, Riboli, Elio, Rigo, Fernando, Rigotti, Attilio, Riley, Leanne M, Rinke de Wit, Tobias F, Risérus, Ulf, Ritti-Dias, Raphael M, Roa, Reina G, Roccaldo, Romana, Rodríguez-Artalejo, Fernando, Rodriguez-Perez, María del Cristo, Rodríguez-Villamizar, Laura A, Rodríguez, Andrea Y, Roggenbuck, Ulla, Rohloff, Peter, Rojas-Martinez, Rosalba, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Rubinstein, Adolfo, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Ruiz Moreno, Emma, Rusakova, Iuliia A, Rusek, Wojciech, Rust, Petra, Rutkowski, Marcin, Saamel, Marge, Sabbaghi, Hamideh, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Saghi, Mohammad Hossien, Saidi, Olfa, Saieva, Calogero, Sakata, Satoko, Saki, Nader, Šalaj, Sanja, Salazar Martinez, Eduardo, Salkhanova, Akkumis, Salonen, Jukka T, Samoutian, Margarita, Sánchez-Abanto, Jose, Sánchez Rodríguez, Inés, Santos, Diana A, Santos, Ina S, Santos, Maria Paula, Santos, Tamara R, Saramies, Jouko L, Sardinha, Luis B, Sarganas, Giselle, Sarrafzadegan, Nizal, Saum, Kai-Uwe, Savin, Stefan, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schienkiewitz, Anja, Schindler, Karin, Schipf, Sabine, Schmidt, Amand Floriaan, Schmidt, Börge, Schmidt, Carsten O, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schutte, Aletta E, Sebert, Sylvain, Sedaghattalab, Moslem, Sein, Aye Aye, Sen, Abhijit, Sepanlou, Sadaf G, Sequera, Guillermo, Ševčíková, Ľudmila, Sewpaul, Ronel, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Sharafkhah, Maryam, Sharma, Sanjib K, Sharman, Almaz, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shiri, Rahman, Shoranov, Marat, Shrestha, Namuna, Si-Ramlee, Khairil, Sibai, Abla M, Sidossis, Labros S, Silva, Antonio M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Silva, Kelly Samara, Sim, Xueling, Simon, Mary, Sjöström, Michael, Skoblina, Natalia A, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, Smith, Lee, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Soemantri, Agustinus, Solfrizzi, Vincenzo, Somi, Mohammad Hossein, Sørgjerd, Elin P, Sorić, Maroje, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sousa-Poza, Alfonso, Spiroski, Igor, Staessen, Jan A, Stang, Andreas, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Stergiou, George S, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Sturua, Lela, Suarez-Ortegón, Milton F, Suebsamran, Phalakorn, Sulo, Gerhard, Sundström, Johan, Suriyawongpaisal, Paibul, Swinburn, Boyd A, Sylva, René Charles, Szponar, Lucjan, Tai, E Shyong, Tambalis, Konstantinos D, Tamosiunas, Abdonas, Tanabayev, Baimakhan, Tanrygulyyeva, Maya, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Taxová Braunerová, Radka, Te Velde, Saskia, Tebar, William R, Tell, Grethe S, Tello, Tania, Thankappan, KR, Theodoridis, Xenophon, Thirunavukkarasu, Sathish, Thomas, Nihal, Thrift, Amanda G, Tichá, Ľubica, Timmermans, Erik J, Tjandrarini, Dwi Hapsari, Tjonneland, Anne, Tolstrup, Janne S, Topbas, Murat, Torres-Collado, Laura, Touloumi, Giota, Traissac, Pierre, Triantafyllou, Areti, Trivedi, Atul, Tshepo, Lechaba, Tsintavis, Panagiotis, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Turley, Maria L, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Valdivia, Gonzalo, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Vasan, Senthil K, Vasques, Daniel G, Vega, Tomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verdot, Charlotte, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, WM Monique, Verstraeten, Roosmarijn, Viet, Lucie, Vik, Frøydis N, Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Virtanen, Jyrki K, Visser, Marjolein, Viswanathan, Bharathi, Vladulescu, Mihaela, Völzke, Henry, Voutilainen, Ari, Vrijheid, Martine, Wade, Alisha N, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Webster-Kerr, Karen, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Westbury, Leo, Whincup, Peter H, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wilks, Rainford J, Willeit, Karin, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wojtyniak, Bogdan, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wu, Frederick C, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yan, Li, Yan, Weili, Yang, Yang, Yépez García, Martha, Yoosefi, Moein, Yoshihara, Akihiro, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusoff, Ahmad Faudzi, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zapata, Maria Elisa, Zaw, Ko Ko, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zhang, Bing, Zhang, Zhen-Yu, Zhecheva, Yanitsa V, Zholdin, Bekbolat, Zimmet, Paul, Zins, Marie, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid

Published
2024
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37. Rare earth elements and uranium in Minjingu phosphate fertilizer products: Plant food for thought

Author

Haneklaus, Nils H., Mwalongo, Dennis A., Lisuma, Jacob B., Amasi, Aloyce I., Mwimanzi, Jerome, Bituh, Tomislav, Ćirić, Jelena, Nowak, Jakub, Ryszko, Urszula, Rusek, Piotr, Maged, Ali, Bilal, Essaid, Bellefqih, Hajar, Qamouche, Khaoula, Brahim, Jamal Ait, Beniazza, Redouane, Mazouz, Hamid, van der Merwe, Elizabet M., Truter, Wayne, Kyomuhimbo, Hilda D., Brink, Hendrik, Steiner, Gerald, Bertau, Martin, Soni, Raghav S., Patwardhan, Ashwin W., Ghosh, Pushpito K., Kivevele, Thomas T., Mtei, Kelvin M., and Wacławek, Stanisław

Published
2024
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38. Of Teachers and Textbooks: Lower Secondary Teachers' Perceived Importance and Use of Chemistry Textbook Components

Author

Vojir, Karel and Rusek, Martin

Abstract

According to research findings from all over the world, textbooks play an important role for teachers in the choice of methods, content and educational goals. However, the open textbook market, where the state's influence is limited, results in a significant gap between the state (written) curriculum and actual classroom practice. To understand this phenomenon in more detail, teachers' (N = 387) conception of lower-secondary chemistry textbooks was evaluated, based on their perception and use of particular textbook components. Data obtained with an online questionnaire were subjected to a thorough analysis using CRISP-DM data mining methodology. The results showed a high consistency in chemistry teachers' perception of textbooks and also that only a limited number of textbook components are frequently being used in teaching practice. The vast majority of teachers mentioned using textbook content to prepare lessons, which indicated textbooks' influence over lesson content. The other most frequently used components are graphical representations, questions and tasks. Textbook components which can be used to apply a student-centred approach are considered less important by the majority of teachers, which confirms the persisting teacher-centred approach in chemistry teaching. The results also helped identify textbook components whose innovation could have the highest impact on education (educational illustrations, structured text, photographs and tasks). This study therefore sheds more light on chemistry teaching, as well as bringing important knowledge to new textbook authors. The data mining methodology proved useful in this sort of research, showing multiple relations which would not be considered in standard data analysis.

Published
2022
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39. Siła klątwy, magia wody i (nie)możność zmiany czasu w noweli „Jańcio Wodnik' Jana Jakuba Kolskiego

Author

Iwona E. Rusek

Subjects
water magic, curse, jan jakub kolski’s johnnie waterman, Visual arts, N1-9211, Arts in general, NX1-820
Abstract

The text raises the issue of the presence of the magical sphere in the human experience. Johnnie Waterman, the protagonist of a short story and a film by Jan Jakub Kolski, experiences a mysterious force that begins to govern his life. This secret power is related to water, through which the hero begins to heal, and in short order becomes a holy man of sorts. Using this character as and example, the author poses a question about the meaning of human fate and the moral aspects of human existence. He also shows human life as dependent on mythical and symbolic meanings that in fact create reality. Johnnie Waterman, who is finally undone by his own pride, wants to turn back time, because he believes that this magical “band-aid” will repair the harm he had caused. However, it is only his understanding of who he is and what he was doing that brings the desired change and makes the hero start living together with his family. The curse that befell Jańcio on the one hand unleashed evil, on the other — it became a chance for the hero to find the truth about himself and the surrounding world.

Published
2023
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40. Helical model of compression and thermal expansion

Author

Sylwia Zięba, Michalina Rusek, Andrzej Katrusiak, Andrzej Gzella, Alina T. Dubis, and Andrzej Łapiński

Subjects
Medicine, Science
Abstract

Abstract A negative linear temperature expansion and a negative linear compressibility were observed for imidazolium benzoate salt. Its strongly anisotropic strain induced by the temperature and pressure changes has been explained by the mechanism of H-bonded helices deformed in the structure. X-ray diffraction and vibrational spectroscopy were used to analyze interactions in the crystal. The Quantum Theory of Atoms in Molecules (QTAiM) approach was applied to analyze the hydrogen bonds and other interactions. In the salt under study, the interactions within the helix are substantially higher in energy than between helices. With decreasing temperature and increasing pressure, the value of the helix pitch increases while the value of the semi-major axis decreases, which results in the negative linear expansion and negative linear compression, respectively.

Published
2023
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41. Reinforced-lib: Rapid prototyping of reinforcement learning solutions

Author

Maksymilian Wojnar, Szymon Szott, Krzysztof Rusek, and Wojciech Ciezobka

Subjects
Machine learning, Optimization, Reinforcement learning, Wireless networks, Computer software, QA76.75-76.765
Abstract

Reinforcement learning (RL) is emerging as a promising framework for training intelligent agents to solve complex problems. However, developing RL solutions involves a complex process that requires experimenting with different models, agents, and parameter tuning. Existing RL libraries are often unable to meet the requirements set by researchers. In response, we introduce Reinforced-lib, a lightweight Python library designed for rapid development of RL solutions. Our open source library is tailored towards researchers working in areas where machine learning has not yet been applied, with a primary emphasis on user-friendliness. It offers the flexibility to employ both deep reinforcement learning (DRL) and traditional non-neural agents, along with a rich functionality and comprehensive documentation. Built on JAX, a high-performance numerical computing framework, Reinforced-lib grants access to a wide machine learning ecosystem. Moreover, we demonstrate the library’s effectiveness in a specific challenge from the domain of wireless networking and reproduce the results of an existing research paper that employs DRL.

Published
2024
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44. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Author

Phelps, Nowell H, Singleton, Rosie K, Zhou, Bin, Heap, Rachel A, Mishra, Anu, Bennett, James E, Paciorek, Christopher J, Lhoste, Victor PF, Carrillo-Larco, Rodrigo M, Stevens, Gretchen A, Rodriguez-Martinez, Andrea, Bixby, Honor, Bentham, James, Di Cesare, Mariachiara, Danaei, Goodarz, Rayner, Archie W, Barradas-Pires, Ana, Cowan, Melanie J, Savin, Stefan, Riley, Leanne M, Aguilar-Salinas, Carlos A, Baker, Jennifer L, Barkat, Amina, Bhutta, Zulfiqar A, Branca, Francesco, Caixeta, Roberta B, Cuschieri, Sarah, Farzadfar, Farshad, Ganapathy, Shubash, Ikeda, Nayu, Iotova, Violeta, Kengne, Andre P, Khang, Young-Ho, Laxmaiah, Avula, Lin, Hsien-Ho, Ma, Jun, Mbanya, Jean Claude N, Miranda, J Jaime, Pradeepa, Rajendra, Rodríguez-Artalejo, Fernando, Sorić, Maroje, Turley, Maria, Wang, Limin, Webster-Kerr, Karen, Aarestrup, Julie, Abarca-Gómez, Leandra, Abbasi-Kangevari, Mohsen, Abdeen, Ziad A, Abdrakhmanova, Shynar, Abdul Ghaffar, Suhaila, Abdul Rahim, Hanan F, Abdurrahmonova, Zulfiya, Abu-Rmeileh, Niveen M, Abubakar Garba, Jamila, Acosta-Cazares, Benjamin, Adam, Ishag, Adamczyk, Marzena, Adams, Robert J, Adu-Afarwuah, Seth, Aekplakorn, Wichai, Afsana, Kaosar, Afzal, Shoaib, Agbor, Valirie N, Agdeppa, Imelda A, Aghazadeh-Attari, Javad, Ågren, Åsa, Aguenaou, Hassan, Agyemang, Charles, Ahmad, Mohamad Hasnan, Ahmad, Noor Ani, Ahmadi, Ali, Ahmadi, Naser, Ahmadi, Nastaran, Ahmed, Imran, Ahmed, Soheir H, Ahrens, Wolfgang, Aitmurzaeva, Gulmira, Ajlouni, Kamel, Al-Hazzaa, Hazzaa M, Al-Hinai, Halima, Al-Lahou, Badreya, Al-Lawati, Jawad A, Al-Raddadi, Rajaa, Al Asfoor, Deena, Al Hourani, Huda M, Al Qaoud, Nawal M, Alarouj, Monira, AlBuhairan, Fadia, AlDhukair, Shahla, Aldwairji, Maryam A, Alexius, Sylvia, Ali, Mohamed M, Alieva, Anna V, Alkandari, Abdullah, Alkerwi, Ala'a, Alkhatib, Buthaina M, Allin, Kristine, Alomary, Shaker A, Alomirah, Husam F, Alshangiti, Arwa M, Alvarez-Pedrerol, Mar, Aly, Eman, Amarapurkar, Deepak N, Amiano Etxezarreta, Pilar, Amoah, John, Amougou, Norbert, Amouyel, Philippe, Andersen, Lars Bo, Anderssen, Sigmund A, Androutsos, Odysseas, Ängquist, Lars, Anjana, Ranjit Mohan, Ansari-Moghaddam, Alireza, Anufrieva, Elena, Aounallah-Skhiri, Hajer, Araújo, Joana, Ariansen, Inger, Aris, Tahir, Arku, Raphael E, Arlappa, Nimmathota, Aryal, Krishna K, Assefa, Nega, Aspelund, Thor, Assah, Felix K, Assembekov, Batyrbek, Assunção, Maria Cecília F, Aung, May Soe, Aurélio de Valois, Correia Júnior Marco, Auvinen, Juha, Avdičová, Mária, Avi, Shina, Azad, Kishwar, Azevedo, Ana, Azimi-Nezhad, Mohsen, Azizi, Fereidoun, Babu, Bontha V, Bacopoulou, Flora, Bæksgaard Jørgensen, Maja, Baharudin, Azli, Bahijri, Suhad, Bajramovic, Izet, Bakacs, Marta, Balakrishna, Nagalla, Balanova, Yulia, Bamoshmoosh, Mohamed, Banach, Maciej, Banegas, José R, Baran, Joanna, Baran, Rafał, Barbagallo, Carlo M, Barbosa Filho, Valter, Barceló, Alberto, Baretić, Maja, Barnoya, Joaquin, Barrera, Lena, Barreto, Marta, Barros, Aluisio JD, Barros, Mauro Virgílio Gomes, Bartosiewicz, Anna, Basit, Abdul, Bastos, Joao Luiz, Bata, Iqbal, Batieha, Anwar M, Batista, Aline P, Batista, Rosangela L, Battakova, Zhamilya, Baur, Louise A, Bayauli, Pascal M, Beaglehole, Robert, Bel-Serrat, Silvia, Belavendra, Antonisamy, Ben Romdhane, Habiba, Benedek, Theodora, Benedics, Judith, Benet, Mikhail, Benitez Rolandi, Gilda Estela, Benzeval, Michaela, Bere, Elling, Berger, Nicolas, Bergh, Ingunn Holden, Berhane, Yemane, Berkinbayev, Salim, Bernabe-Ortiz, Antonio, Bernotiene, Gailute, Berrios Carrasola, Ximena, Bettiol, Heloísa, Beutel, Manfred E, Beybey, Augustin F, Bezerra, Jorge, Bhagyalaxmi, Aroor, Bharadwaj, Sumit, Bhargava, Santosh K, Bi, Hongsheng, Bi, Yufang, Bia, Daniel, Biasch, Katia, Bika Lele, Elysée Claude, Bikbov, Mukharram M, Bista, Bihungum, Bjelica, Dusko J, Bjerregaard, Anne A, Bjerregaard, Peter, Bjertness, Espen, Bjertness, Marius B, Björkelund, Cecilia, Bloch, Katia V, Blokstra, Anneke, Blychfeld Magnazu, Moran, Bo, Simona, Bobak, Martin, Boddy, Lynne M, Boehm, Bernhard O, Boer, Jolanda MA, Boggia, Jose G, Bogova, Elena, Boissonnet, Carlos P, Bojesen, Stig E, Bonaccio, Marialaura, Bongard, Vanina, Bonilla-Vargas, Alice, Bopp, Matthias, Borghs, Herman, Botomba, Steve, Bourne, Rupert RA, Bovet, Pascal, Boymatova, Khadichamo, Braeckevelt, Lien, Braeckman, Lutgart, Bragt, Marjolijn CE, Braithwaite, Tasanee, Brajkovich, Imperia, Breckenkamp, Juergen, Breda, João, Brenner, Hermann, Brewster, Lizzy M, Brian, Garry R, Briceño, Yajaira, Brinduse, Lacramioara, Bringolf-Isler, Bettina, Brito, Miguel, Brophy, Sinead, Brug, Johannes, Bruno, Graziella, Bugge, Anna, Buoncristiano, Marta, Burazeri, Genc, Burns, Con, Cabrera de León, Antonio, Cacciottolo, Joseph, Cai, Hui, Cama, Tilema, Cameron, Christine, Camolas, José, Can, Günay, Cândido, Ana Paula c, Cañete, Felicia, Capanzana, Mario V, Čapková, Naděžda, Capuano, Eduardo, Capuano, Rocco, Capuano, Vincenzo, Cardol, Marloes, Cardoso, Viviane C, Carlsson, Axel C, Carmuega, Esteban, Carvalho, Joana, Casajús, José A, Casanueva, Felipe F, Casas, Maribel, Celikcan, Ertugrul, Censi, Laura, Cervantes-Loaiza, Marvin, Cesar, Juraci A, Chamnan, Parinya, Chamukuttan, Snehalatha, Chan, Angelique, Chan, Queenie, Charchar, Fadi J, Charles, Marie-Aline, Chaturvedi, Himanshu K, Chaturvedi, Nish, Che Abdul Rahim, Norsyamlina, Chee, Miao Li, Chen, Chien-Jen, Chen, Fangfang, Chen, Huashuai, Chen, Long-Sheng, Chen, Shuohua, Chen, Zhengming, Cheng, Ching-Yu, Cheng, Yiling J, Cheraghian, Bahman, Chetrit, Angela, Chikova-Iscener, Ekaterina, Chinapaw, Mai JM, Chinnock, Anne, Chiolero, Arnaud, Chiou, Shu-Ti, Chirita-Emandi, Adela, Chirlaque, María-Dolores, Cho, Belong, Christensen, Kaare, Christofaro, Diego G, Chudek, Jerzy, Cifkova, Renata, Cilia, Michelle, Cinteza, Eliza, Cirillo, Massimo, Claessens, Frank, Clare, Philip, Clarke, Janine, Clays, Els, Cohen, Emmanuel, Cojocaru, Cosmin R, Colorado-Yohar, Sandra, Compañ-Gabucio, Laura-María, Concin, Hans, Confortin, Susana C, Cooper, Cyrus, Coppinger, Tara C, Corpeleijn, Eva, Cortés, Lilia Yadira, Costanzo, Simona, Cottel, Dominique, Cowell, Chris, Craig, Cora L, Crampin, Amelia C, Cross, Amanda J, Crujeiras, Ana B, Cruz, Juan J, Csányi, Tamás, Csilla, Semánová, Cucu, Alexandra M, Cui, Liufu, Cureau, Felipe V, Czenczek-Lewandowska, Ewelina, D'Arrigo, Graziella, d'Orsi, Eleonora, da Silva, Alanna G, Dacica, Liliana, Dahm, Christina C, Dallongeville, Jean, Damasceno, Albertino, Damsgaard, Camilla T, Dankner, Rachel, Dantoft, Thomas M, Dasgupta, Parasmani, Dastgiri, Saeed, Dauchet, Luc, Davletov, Kairat, de Assis Guedes de Vasconcelos, Francisco, de Assis, Maria Alice Altenburg, De Backer, Guy, De Bacquer, Dirk, De Bacquer, Jaco, de Bont, Jeroen, De Curtis, Amalia, de Fragas Hinnig, Patrícia, de Gaetano, Giovanni, De Henauw, Stefaan, De Miguel-Etayo, Pilar, De Neve, Jan-Walter, Duarte de Oliveira, Paula, De Ridder, David, De Ridder, Karin, de Rooij, Susanne R, de Sá, Ana Carolina MGN, De Smedt, Delphine, Deepa, Mohan, Deev, Alexander D, DeGennaro, Vincent Jr, Delisle, Hélène, Delpeuch, Francis, Demarest, Stefaan, Dennison, Elaine, Dereń, Katarzyna, Deschamps, Valérie, Devrishov, Ruslan D, Dhimal, Meghnath, Di Castelnuovo, Augusto, Dias-da-Costa, Juvenal Soares, Díaz-Sánchez, María Elena, Diaz, Alejandro, Díaz Fernández, Pedro, Díez Ripollés, María Pilar, Dika, Zivka, Djalalinia, Shirin, Djordjic, Visnja, Do, Ha TP, Dobson, Annette J, Dominguez, Liria, Donati, Maria Benedetta, Donfrancesco, Chiara, Dong, Guanghui, Dong, Yanhui, Donoso, Silvana P, Döring, Angela, Dorobantu, Maria, Dorosty, Ahmad Reza, Dörr, Marcus, Doua, Kouamelan, Dragano, Nico, Drygas, Wojciech, Du, Shufa, Duan, Jia Li, Duante, Charmaine A, Duboz, Priscilla, Duleva, Vesselka L, Dulskiene, Virginija, Dumith, Samuel C, Dushpanova, Anar, Dwyer, Terence, Dyussupova, Azhar, Dzerve, Vilnis, Dziankowska-Zaborszczyk, Elzbieta, Ebrahimi, Narges, Echeverría, Guadalupe, Eddie, Ricky, Eftekhar, Ebrahim, Efthymiou, Vasiliki, Egbagbe, Eruke E, Eggertsen, Robert, Eghtesad, Sareh, Eiben, Gabriele, Ekelund, Ulf, El-Khateeb, Mohammad, El Ammari, Laila, El Ati, Jalila, Eldemire-Shearer, Denise, Elliott, Paul, Enang, Ofem, Endevelt, Ronit, Engle-Stone, Reina, Erasmus, Rajiv T, Erem, Cihangir, Ergor, Gul, Eriksen, Louise, Eriksson, Johan G, Escobedo-de la Peña, Jorge, Eslami, Saeid, Esmaeili, Ali, Evans, Alun, Evans, Roger G, Faeh, David, Fagherazzi, Guy, Fakhradiyev, Ildar, Fakhretdinova, Albina A, Fall, Caroline H, Faramarzi, Elnaz, Farjam, Mojtaba, Farrugia Sant'Angelo, Victoria, Farzi, Yosef, Fattahi, Mohammad Reza, Fawwad, Asher, Fawzi, Wafaie W, Felix-Redondo, Francisco J, Ferguson, Trevor S, Fernandes, Romulo A, Fernández-Bergés, Daniel, Ferrante, Daniel, Ferrao, Thomas, Ferrari, Gerson, Ferrari, Marika, Ferrario, Marco M, Ferreccio, Catterina, Ferreira, Haroldo S, Ferrer, Eldridge, Ferrieres, Jean, Figueiró, Thamara Hubler, Fijalkowska, Anna, Fink, Günther, Fisberg, Mauro, Fischer, Krista, Foo, Leng Huat, Forsner, Maria, Fottrell, Edward F, Fouad, Heba M, Francis, Damian K, Franco, Maria do Carmo, Fras, Zlatko, Fraser, Brooklyn, Frontera, Guillermo, Fuchs, Flavio D, Fuchs, Sandra C, Fujiati, Isti I, Fujita, Yuki, Fumihiko, Matsuda, Furdela, Viktoriya, Furusawa, Takuro, Gabriela, Stefan Adela, Gaciong, Zbigniew, Gafencu, Mihai, Galán Cuesta, Manuel, Galbarczyk, Andrzej, Galcheva, Sonya V, Galenkamp, Henrike, Galeone, Daniela, Galfo, Myriam, Galvano, Fabio, Gao, Jingli, Gao, Pei, Garcia-de-la-Hera, Manoli, García Mérida, María José, García Solano, Marta, Gareta, Dickman, Garnett, Sarah P, Gaspoz, Jean-Michel, Gasull, Magda, Gaya, Adroaldo Cesar Araujo, Gaya, Anelise Reis, Gazzinelli, Andrea, Gehring, Ulrike, Geiger, Harald, Geleijnse, Johanna M, George, Ronnie, Gerdts, Eva, Ghaderi, Ebrahim, Ghamari, Seyyed-Hadi, Ghanbari, Ali, Ghasemi, Erfan, Gheorghe-Fronea, Oana-Florentina, Gialluisi, Alessandro, Giampaoli, Simona, Gianfagna, Francesco, Gieger, Christian, Gill, Tiffany K, Giovannelli, Jonathan, Gironella, Glen, Giwercman, Aleksander, Gkiouras, Konstantinos, Glushkova, Natalya, Godara, Ramesh, Godos, Justyna, Gogen, Sibel, Goldberg, Marcel, Goltzman, David, Gómez, Georgina, Gómez Gómez, Jesús Humberto, Gomez, Luis F, Gómez, Santiago F, Gomula, Aleksandra, Gonçalves Cordeiro da Silva, Bruna, Gonçalves, Helen, Gonçalves, Mauer, González-Alvarez, Ana D, Gonzalez-Chica, David A, González-Gil, Esther M, Gonzalez-Gross, Marcela, González-Leon, Margot, González-Rivas, Juan P, González-Villalpando, Clicerio, González-Villalpando, María-Elena, Gonzalez, Angel R, Gottrand, Frederic, Graça, Antonio Pedro, Grafnetter, Dušan, Grajda, Aneta, Grammatikopoulou, Maria G, Gregg, Edward W, Gregor, Ronald D, Gregório, Maria João, Grøholt, Else Karin, Grøntved, Anders, Grosso, Giuseppe, Gruden, Gabriella, Gu, Dongfeng, Guajardo, Viviana, Gualdi-Russo, Emanuela, Guallar-Castillón, Pilar, Gualtieri, Andrea, Gudmundsson, Elias F, Gudnason, Vilmundur, Guerchet, Maëlenn, Guerrero, Ramiro, Guessous, Idris, Guimaraes, Andre L, Gujral, Unjali P, Gulliford, Martin C, Gunnlaugsdottir, Johanna, Gunter, Marc J, Guo, Xiu-Hua, Guo, Yin, Gupta, Prakash C, Gupta, Rajeev, Gureje, Oye, Gurinović, Mirjana A, Gutiérrez González, Enrique, Gutierrez, Laura, Gutzwiller, Felix, Gwee, Xinyi, Ha, Seongjun, Hadaegh, Farzad, Hadjigeorgiou, Charalambos A, Haghshenas, Rosa, Hakimi, Hamid, Halkjær, Jytte, Hambleton, Ian R, Hamzeh, Behrooz, Hanekom, Willem A, Hange, Dominique, Hanif, Abu AM, Hantunen, Sari, Hao, Jie, Hardman, Carla Menêses, Hardy, Louise, Hari Kumar, Rachakulla, Harmer Lassen, Tina, Harooni, Javad, Hashemi-Shahri, Seyed Mohammad, Hassapidou, Maria, Hata, Jun, Haugsgjerd, Teresa, Hayes, Alison J, He, Jiang, He, Yuan, He, Yuna, Heidinger-Felső, Regina, Heier, Margit, Heinen, Mirjam, Hejgaard, Tatjana, Hendriks, Marleen Elisabeth, Henrique, Rafael dos Santos, Henriques, Ana, Hernandez Cadena, Leticia, Herrala, Sauli, Herrera-Cuenca, Marianella, Herrera, Victor M, Herter-Aeberli, Isabelle, Herzig, Karl-Heinz, Heshmat, Ramin, Heude, Barbara, Hill, Allan G, Ho, Sai Yin, Ho, Suzanne C, Hobbs, Michael, Höfelmann, Doroteia A, Holdsworth, Michelle, Homayounfar, Reza, Homs, Clara, Hoogendijk, Emiel, Hopman, Wilma M, Horimoto, Andrea RVR, Hormiga, Claudia M, Horta, Bernardo L, Houti, Leila, Howitt, Christina, Htay, Thein Thein, Htet, Aung Soe, Htike, Maung Maung Than, Hu, Yonghua, Huerta, José María, Huhtaniemi, Ilpo Tapani, Huiart, Laetitia, Huidumac Petrescu, Constanta, Husseini, Abdullatif, Huu, Chinh Nguyen, Huybrechts, Inge, Hwalla, Nahla, Hyska, Jolanda, Iacoviello, Licia, Iakupova, Ellina M, Ibarluzea, Jesús, Ibrahim, Mohsen M, Ibrahim Wong, Norazizah, Igland, Jannicke, Ijoma, Chinwuba, Ikram, M Arfan, Iñiguez, Carmen, Irazola, Vilma E, Ishida, Takafumi, Isiguzo, Godsent C, Islam, Muhammad, Islam, Sheikh Mohammed Shariful, Islek, Duygu, Ittermann, Till, Ivanova-Pandourska, Ivaila Y, Iwasaki, Masanori, Jääskeläinen, Tuija, Jackson, Rod T, Jacobs, Jeremy M, Jadoul, Michel, Jafar, Tazeen, Jallow, Bakary, James, Kenneth, Jamil, Kazi M, Jamrozik, Konrad, Jan, Nataša, Jansson, Anna, Janszky, Imre, Janus, Edward, Jarani, Juel, Jarnig, Gerald, Jarvelin, Marjo-Riitta, Jasienska, Grazyna, Jelaković, Ana, Jelaković, Bojan, Jennings, Garry, Jiang, Chao Qiang, Jimenez, Ramon O, Jöckel, Karl-Heinz, Joffres, Michel, Jokelainen, Jari J, Jonas, Jost B, Jonnagaddala, Jitendra, Jøran Kjerpeseth, Lars, Jørgensen, Torben, Joshi, Pradeep, Joshi, Rohina, Josipović, Josipa, Joukar, Farahnaz, Jóźwiak, Jacek J, Judge, Debra S, Juolevi, Anne, Jurak, Gregor, Jurca Simina, Iulia, Juresa, Vesna, Kaaks, Rudolf, Kaducu, Felix O, Kadvan, Agnes L, Kafatos, Anthony, Kaj, Mónika, Kajantie, Eero O, Kakutia, Natia, Kállayová, Daniela, Kalmatayeva, Zhanna, Kalter-Leibovici, Ofra, Kameli, Yves, Kanala, Kodanda R, Kannan, Srinivasan, Kapantais, Efthymios, Karaglani, Eva, Karakosta, Argyro, Kårhus, Line L, Karki, Khem B, Karlsson, Omat, Kassi Anicet, Adoubi, Katchunga, Philippe B, Katibeh, Marzieh, Katz, Joanne, Katzmarzyk, Peter T, Kauhanen, Jussi, Kaur, Prabhdeep, Kavousi, Maryam, Kazakbaeva, Gyulli M, Kaze, François F, Kazembe, Benson M, Ke, Calvin, Keil, Ulrich, Keinan Boker, Lital, Keinänen-Kiukaanniemi, Sirkka, Kelishadi, Roya, Kelleher, Cecily, Kemper, Han CG, Keramati, Maryam, Kerimkulova, Alina, Kersting, Mathilde, Key, Timothy, Khader, Yousef Saleh, Khaledifar, Arsalan, Khalili, Davood, Kheiri, Bahareh, Kheradmand, Motahareh, Khosravi, Alireza, Khouw, Ilse MSL, Kiechl-Kohlendorfer, Ursula, Kiechl, Sophia J, Kiechl, Stefan, Killewo, Japhet, Kim, Hyeon Chang, Kim, Jeongseon, Kindblom, Jenny M, Kingston, Andrew, Klakk, Heidi, Klanarong, Suntara, Klanova, Jana, Klimek, Magdalena, Klimont, Jeannette, Klumbiene, Jurate, Knoflach, Michael, Kobel, Susanne, Koirala, Bhawesh, Kolle, Elin, Kolo, Sanda M, Kolsteren, Patrick, König, Jürgen, Korpelainen, Raija, Korrovits, Paul, Korzycka, Magdalena, Kos, Jelena, Koskinen, Seppo, Kouda, Katsuyasu, Koussoh Simone, Malik, Kovács, Éva, Kovacs, Viktoria Anna, Kovalskys, Irina, Kowlessur, Sudhir, Koziel, Slawomir, Kratenova, Jana, Kratzer, Wolfgang, Kriaucioniene, Vilma, Kriemler, Susi, Kristensen, Peter Lund, Krizan, Helena, Kroker-Lobos, Maria F, Krokstad, Steinar, Kromhout, Daan, Kruger, Herculina S, Kruger, Ruan, Kryst, Łukasz, Kubinova, Ruzena, Kuciene, Renata, Kujala, Urho M, Kujundzic, Enisa, Kulaga, Zbigniew, Kulimbet, Mukhtar, Kulothungan, Vaitheeswaran, Kumar, R Krishna, Kumari, Meena, Kunešová, Marie, Kurjata, Pawel, Kusuma, Yadlapalli S, Kutsenko, Vladimir, Kuulasmaa, Kari, Kyobutungi, Catherine, La, Quang Ngoc, Laamiri, Fatima Zahra, Laatikainen, Tiina, Labadarios, Demetre, Lachat, Carl, Lackner, Karl J, Lai, Daphne, Laid, Youcef, Lall, Lachmie, Lam, Tai Hing, Landaeta Jimenez, Maritza, Landais, Edwige, Lankila, Tiina, Lanska, Vera, Lappas, Georg, Larijani, Bagher, Larissa, Simo Pone, Lateva, Mina P, Latt, Tint Swe, Laurenzi, Martino, Lauria, Laura, Lazo-Porras, Maria, Le Coroller, Gwenaëlle, Le Nguyen Bao, Khanh, Le Port, Agnès, Le, Tuyen D, Lee, Jeannette, Lee, Jeonghee, Lee, Paul H, Lehtimäki, Terho, Lemogoum, Daniel, Leong, Elvynna, Leskošek, Branimir, Leszczak, Justyna, Leth-Møller, Katja B, Leung, Gabriel M, Levitt, Naomi S, Li, Yanping, Liivak, Merike, Lilly, Christa L, Lim, Charlie, Lim, Wei-Yen, Lima-Costa, M Fernanda, Lin, Xu, Lind, Lars, Lingam, Vijaya, Linkohr, Birgit, Linneberg, Allan, Lissner, Lauren, Litwin, Mieczyslaw, Liu, Jing, Liu, Lijuan, Liu, Liping, Liu, Xiaotian, Lo, Wei-Cheng, Loit, Helle-Mai, Long, Khuong Quynh, Longo Abril, Guadalupe, Lopes, Luis, Lopes, Marcus SS, Lopes, Oscar, Lopez-Garcia, Esther, Lopez, Tania, Lotufo, Paulo A, Lozano, José Eugenio, Lukrafka, Janice L, Luksiene, Dalia, Lundqvist, Annamari, Lunet, Nuno, Lunogelo, Charles, Lustigová, Michala, Łuszczki, Edyta, M'Buyamba-Kabangu, Jean-René, Ma, Guansheng, Ma, Xu, Machado-Coelho, George LL, Machado-Rodrigues, Aristides M, Macia, Enguerran, Macieira, Luisa M, Madar, Ahmed A, Madraisau, Sherilynn, Madsen, Anja L, Maestre, Gladys E, Maggi, Stefania, Magliano, Dianna J, Magnacca, Sara, Magriplis, Emmanuella, Mahasampath, Gowri, Maire, Bernard, Majer, Marjeta, Makdisse, Marcia, Mäki, Päivi, Malekpour, Mohammad-Reza, Malekzadeh, Fatemeh, Malekzadeh, Reza, Malhotra, Rahul, Mallikharjuna Rao, Kodavanti, Malta, Deborah C, Malyutina, Sofia K, Maniego, Lynell V, Manios, Yannis, Mann, Jim I, Mannix, Masimango Imani, Mansour-Ghanaei, Fariborz, Manyanga, Taru, Manzato, Enzo, Mapatano, Mala Ali, Marcil, Anie, Margozzini, Paula, Maria-Magdalena, Rosu, Mariño, Joany, Markaki, Anastasia, Markey, Oonagh, Markidou Ioannidou, Eliza, Marques-Vidal, Pedro, Marques, Larissa Pruner, Marrugat, Jaume, Martin-Prevel, Yves, Martin, Rosemarie, Martorell, Reynaldo, Martos, Eva, Maruf, Fatai A, Maruszczak, Katharina, Marventano, Stefano, Masala, Giovanna, Mascarenhas, Luis P, Masinaei, Masoud, Masoodi, Shariq R, Mathiesen, Ellisiv B, Mathur, Prashant, Matijasevich, Alicia, Matłosz, Piotr, Matsha, Tandi E, Matsudo, Victor, Matteo, Giletta, Maulik, Pallab K, Mavrogianni, Christina, Mazur, Artur, McFarlane, Shelly R, McGarvey, Stephen T, McKee, Martin, McLean, Rachael M, McLean, Scott B, McNairy, Margaret L, McNulty, Breige A, Mediene Benchekor, Sounnia, Medzioniene, Jurate, Mehlig, Kirsten, Mehrparvar, Amir Houshang, Meirhaeghe, Aline, Meisfjord, Jørgen, Meisinger, Christa, Melgarejo, Jesus D, Melkumova, Marina, Mello, Júlio, Méndez, Fabián, Mendivil, Carlos O, Menezes, Ana Maria B, Menon, Geetha R, Mensink, Gert BM, Menzano, Maria Teresa, Meshram, Indrapal I, Meto, Diane T, Meyer, Haakon E, Mi, Jie, Michaelsen, Kim F, Michels, Nathalie, Mikkel, Kairit, Miłkowska, Karolina, Miller, Jody C, Milushkina, Olga, Minderico, Cláudia S, Mini, GK, Miquel, Juan Francisco, Mirjalili, Mohammad Reza, Mirkopoulou, Daphne, Mirrakhimov, Erkin, Mišigoj-Duraković, Marjeta, Mistretta, Antonio, Mocanu, Veronica, Modesti, Pietro A, Moghaddam, Sahar Saeedi, Mohamed, Shukri F, Mohammad, Kazem, Mohammadi, Mohammad Reza, Mohammadi, Zahra, Mohammadifard, Noushin, Mohammadpourhodki, Reza, Mohan, Viswanathan, Mohanna, Salim, Mohd Yusoff, Muhammad Fadhli, Mohebbi, Iraj, Moitry, Marie, Møllehave, Line T, Møller, Niels C, Molnár, Dénes, Momenan, Amirabbas, Mondo, Charles K, Monroy-Valle, Michele, Montenegro Mendoza, Roger A, Monterrubio-Flores, Eric, Monyeki, Kotsedi Daniel K, Moon, Jin Soo, Moosazadeh, Mahmood, Mopa, Hermine T, Moradpour, Farhad, Moreira, Leila B, Morejon, Alain, Moreno, Luis A, Morey, Francis, Morgan, Karen, Morin, Suzanne N, Mortensen, Erik Lykke, Moschonis, George, Moslem, Alireza, Mosquera, Mildrey, Mossakowska, Malgorzata, Mostafa, Aya, Mostafavi, Seyed-Ali, Mota-Pinto, Anabela, Mota, Jorge, Motlagh, Mohammad Esmaeel, Motta, Jorge, Moura-dos-Santos, Marcos André, Movsesyan, Yeva, Mridha, Malay K, Msyamboza, Kelias P, Mu, Thet Thet, Muc, Magdalena, Muca, Florian, Mugoša, Boban, Muiesan, Maria L, Müller-Nurasyid, Martina, Münzel, Thomas, Mursu, Jaakko, Murtagh, Elaine M, Musa, Kamarul Imran, Musić Milanović, Sanja, Musil, Vera, Musinguzi, Geofrey, Muyer, Muel Telo, Nabipour, Iraj, Nagel, Gabriele, Najafi, Farid, Nakamura, Harunobu, Nalecz, Hanna, Námešná, Jana, Nang, Ei Ei K, Nangia, Vinay B, Nankap, Martin, Narake, Sameer, Narayan, KM Venkat, Nardone, Paola, Naseri, Take, Nathalie, Michels, Neal, William A, Neelapaichit, Nareemarn, Nejatizadeh, Azim, Nekkantti, Chandini, Nelis, Keiu, Nenko, Ilona, Neovius, Martin, Nervi, Flavio, Ng, Tze Pin, Nguyen, Chung T, Nguyen, Nguyen D, Nguyen, Quang Ngoc, Ni, Michael Y, Nicolescu, Rodica, Nie, Peng, Nieto-Martínez, Ramfis E, Nikitin, Yury P, Ning, Guang, Ninomiya, Toshiharu, Nishi, Nobuo, Nishtar, Sania, Noale, Marianna, Noboa, Oscar A, Nogueira, Helena, Nordendahl, Maria, Nordestgaard, Børge G, Norton, Kevin I, Noto, Davide, Nowak-Szczepanska, Natalia, Nsour, Mohannad Al, Nuhoğlu, Irfan, Nunes, Baltazar, Nurk, Eha, Nuwaha, Fred, Nyirenda, Moffat, O'Neill, Terence W, O'Reilly, Dermot, Obreja, Galina, Ochimana, Caleb, Ochoa-Avilés, Angélica M, Oda, Eiji, Odili, Augustine N, Oh, Kyungwon, Ohara, Kumiko, Ohlsson, Claes, Ohtsuka, Ryutaro, Olafsson, Örn, Oldenburg, Brian, Olinto, Maria Teresa A, Oliveira, Isabel O, Omar, Mohd Azahadi, Omar, Saeed M, Onat, Altan, Ong, Sok King, Onland-Moret, N Charlotte, Ono, Lariane M, Onodugo, Obinna, Ordunez, Pedro, Ornelas, Rui, Ortiz, Ana P, Ortiz, Pedro J, Osler, Merete, Osmond, Clive, Ostojic, Sergej M, Ostovar, Afshin, Otero, Johanna A, Ottendahl, Charlotte B, Otu, Akaninyene, Overvad, Kim, Owusu-Dabo, Ellis, Oyeyemi, Adetoyeje Y, Oyeyemi, Adewale L, Paccaud, Fred Michel, Padez, Cristina P, Pagkalos, Ioannis, Pahomova, Elena, de Paiva, Karina Mary, Pająk, Andrzej, Pajula, Natalja, Palloni, Alberto, Palmieri, Luigi, Pan, Wen-Harn, Panda-Jonas, Songhomitra, Pandey, Arvind, Pang, Zengchang, Panza, Francesco, Paoli, Mariela, Papadopoulou, Sousana K, Papandreou, Dimitrios, Pareja, Rossina G, Park, Soon-Woo, Park, Suyeon, Parnell, Winsome R, Parsaeian, Mahboubeh, Pascanu, Ionela M, Pasquet, Patrick, Patel, Nikhil D, Pattussi, Marcos, Pavlyshyn, Halyna, Pechlaner, Raimund, Pećin, Ivan, Pednekar, Mangesh S, Pedro, João M, Peer, Nasheeta, Peixoto, Sergio Viana, Peltonen, Markku, Pereira, Alexandre C, Peres, Marco A, Perez-Londoño, Agustín, Pérez, Cynthia M, Peterkova, Valentina, Peters, Annette, Petkeviciene, Janina, Petrauskiene, Ausra, Petrovna Kovtun, Olga, Pettenuzzo, Emanuela, Peykari, Niloofar, Pfeiffer, Norbert, Phall, Modou Cheyassin, Pham, Son Thai, Phiri, Felix P, Pichardo, Rafael N, Pierannunzio, Daniela, Pierre-Marie, Preux, Pigeot, Iris, Pikhart, Hynek, Pilav, Aida, Piler, Pavel, Pilotto, Lorenza, Pistelli, Francesco, Pitakaka, Freda, Piwonska, Aleksandra, Pizarro, Andreia N, Plans-Rubió, Pedro, Platonova, Alina G, Poh, Bee Koon, Pohlabeln, Hermann, Polka, Nadija S, Pop, Raluca M, Popkin, Barry M, Popovic, Stevo R, Porta, Miquel, Posch, Georg, Poudyal, Anil, Poulimeneas, Dimitrios, Pouraram, Hamed, Pourfarzi, Farhad, Pourshams, Akram, Poustchi, Hossein, Price, Alison J, Price, Jacqueline F, Prista, Antonio, Providencia, Rui, Puder, Jardena J, Pudule, Iveta, Puhakka, Solie, Puiu, Maria, Punab, Margus, Qadir, Muhammed S, Qasrawi, Radwan F, Qiao, Qing, Qorbani, Mostafa, Quintana, Hedley K, Quiroga-Padilla, Pedro J, Quoc Bao, Tran, Rach, Stefan, Radic, Ivana, Radisauskas, Ricardas, Rahimikazerooni, Salar, Rahman, Mahfuzar, Rahman, Mahmudur, Raitakari, Olli, Raj, Manu, Rajabov, Tamerlan, Rakhmatulloev, Sherali, Rakovac, Ivo, Ramachandra Rao, Sudha, Ramachandran, Ambady, Ramadan, Otim PC, Ramires, Virgílio V, Ramirez-Zea, Manuel, Ramke, Jacqueline, Ramos, Elisabete, Ramos, Rafel, Rampal, Lekhraj, Rampal, Sanjay, Ramsay, Sheena E, Rangelova, Lalka S, Rarra, Vayia, Rascon-Pacheco, Ramon A, Rashidi, Mohammad-Mahdi, Rech, Cassiano Ricardo, Redon, Josep, Reganit, Paul Ferdinand M, Regecová, Valéria, Renner, Jane DP, Repasy, Judit A, Reuter, Cézane P, Revilla, Luis, Reynolds, Andrew, Rezaei, Negar, Rezaianzadeh, Abbas, Rho, Yeunsook, Ribas-Barba, Lourdes, Ribeiro, Robespierre, Riboli, Elio, Rigo, Fernando, Rigotti, Attilio, Rinaldo, Natascia, Rinke de Wit, Tobias F, Risérus, Ulf, Rito, Ana I, Ritti-Dias, Raphael M, Rivera, Juan A, Roa, Reina G, Robinson, Louise, Roccaldo, Romana, Rodrigues, Daniela, Rodriguez-Perez, María del Cristo, Rodríguez-Villamizar, Laura A, Rodríguez, Andrea Y, Roggenbuck, Ulla, Rohloff, Peter, Rohner, Fabian, Rojas-Martinez, Rosalba, Rojroongwasinkul, Nipa, Romaguera, Dora, Romeo, Elisabetta L, Rosario, Rafaela V, Rosengren, Annika, Rouse, Ian, Rouzier, Vanessa, Roy, Joel GR, Ruano, Maira H, Rubinstein, Adolfo, Rühli, Frank J, Ruidavets, Jean-Bernard, Ruiz-Betancourt, Blanca Sandra, Ruiz-Castell, Maria, Ruiz Moreno, Emma, Rusakova, Iuliia A, Rusek, Wojciech, Russell Jonsson, Kenisha, Russo, Paola, Rust, Petra, Rutkowski, Marcin, Saamel, Marge, Saar, Crizian G, Sabanayagam, Charumathi, Sabbaghi, Hamideh, Sacchini, Elena, Sachdev, Harshpal S, Sadjadi, Alireza, Safarpour, Ali Reza, Safi, Sare, Safiri, Saeid, Saghi, Mohammad Hossien, Saidi, Olfa, Saieva, Calogero, Sakata, Satoko, Saki, Nader, Šalaj, Sanja, Salanave, Benoit, Salazar Martinez, Eduardo, Salhanova, Akkumis, Salmerón, Diego, Salomaa, Veikko, Salonen, Jukka T, Salvetti, Massimo, Samoutian, Margarita, Sánchez-Abanto, Jose, Sánchez Rodríguez, Inés, Sandjaja, Sans, Susana, Santa-Marina, Loreto, Santacruz, Ethel, Santos, Diana A, Santos, Ina S, Santos, Lèlita C, Santos, Maria Paula, Santos, Osvaldo, Santos, Rute, Santos, Tamara R, Saramies, Jouko L, Sardinha, Luis B, Sarrafzadegan, Nizal, Sathish, Thirunavukkarasu, Saum, Kai-Uwe, Savva, Savvas, Savy, Mathilde, Sawada, Norie, Sbaraini, Mariana, Scazufca, Marcia, Schaan, Beatriz D, Schaffrath Rosario, Angelika, Schargrodsky, Herman, Schienkiewitz, Anja, Schindler, Karin, Schipf, Sabine, Schmidt, Börge, Schmidt, Carsten O, Schmidt, Ida Maria, Schneider, Andrea, Schnohr, Peter, Schöttker, Ben, Schramm, Sara, Schramm, Stine, Schröder, Helmut, Schultsz, Constance, Schultz, Gry, Schulze, Matthias B, Schutte, Aletta E, Sebert, Sylvain, Sedaghattalab, Moslem, Selamat, Rusidah, Sember, Vedrana, Sen, Abhijit, Senbanjo, Idowu O, Sepanlou, Sadaf G, Sequera, Guillermo, Serra-Majem, Luis, Servais, Jennifer, Ševčíková, Ľudmila, Sewpaul, Ronel, Shalnova, Svetlana, Shamah-Levy, Teresa, Shamshirgaran, Seyed Morteza, Shanthirani, Coimbatore Subramaniam, Sharafkhah, Maryam, Sharma, Sanjib K, Sharman, Almaz, Shaw, Jonathan E, Shayanrad, Amaneh, Shayesteh, Ali Akbar, Shengelia, Lela, Shi, Zumin, Shibuya, Kenji, Shimizu-Furusawa, Hana, Shimony, Tal, Shiri, Rahman, Shrestha, Namuna, Si-Ramlee, Khairil, Siani, Alfonso, Siantar, Rosalynn, Sibai, Abla M, Sidossis, Labros S, Silitrari, Natalia, Silva, Antonio M, Silva, Caroline Ramos de Moura, Silva, Diego Augusto Santos, Silva, Kelly Samara, Sim, Xueling, Simon, Mary, Simons, Judith, Simons, Leon A, Sjöberg, Agneta, Sjöström, Michael, Skoblina, Elena V, Skoblina, Natalia A, Slazhnyova, Tatyana, Slowikowska-Hilczer, Jolanta, Slusarczyk, Przemysław, Smeeth, Liam, So, Hung-Kwan, Soares, Fernanda Cunha, Sobek, Grzegorz, Sobngwi, Eugène, Sodemann, Morten, Söderberg, Stefan, Soekatri, Moesijanti YE, Soemantri, Agustinus, Sofat, Reecha, Solfrizzi, Vincenzo, Solovieva, Yuliya V, Somi, Mohammad Hossein, Sonestedt, Emily, Song, Yi, Soofi, Sajid, Sørensen, Thorkild IA, Sørgjerd, Elin P, Sossa Jérome, Charles, Soto-Rojas, Victoria E, Soumaré, Aïcha, Sousa-Poza, Alfonso, Sovic, Slavica, Sparboe-Nilsen, Bente, Sparrenberger, Karen, Spencer, Phoebe R, Spinelli, Angela, Spiroski, Igor, Staessen, Jan A, Stamm, Hanspeter, Stang, Andreas, Starc, Gregor, Staub, Kaspar, Stavreski, Bill, Steene-Johannessen, Jostein, Stehle, Peter, Stein, Aryeh D, Steinsbekk, Silje, Stergiou, George S, Stessman, Jochanan, Stevanović, Ranko, Stieber, Jutta, Stöckl, Doris, Stokwiszewski, Jakub, Stoyanova, Ekaterina, Stratton, Gareth, Stronks, Karien, Strufaldi, Maria Wany, Sturua, Lela, Suárez-Medina, Ramón, Suarez-Ortegón, Milton F, Suebsamran, Phalakorn, Sugiyama, Mindy, Suka, Machi, Sulo, Gerhard, Sun, Chien-An, Sun, Liang, Sund, Malin, Sundström, Johan, Sung, Yn-Tz, Sunyer, Jordi, Suriyawongpaisal, Paibul, Sweis, Nabil William G, Swinburn, Boyd A, Sy, Rody G, Sylva, René Charles, Szponar, Lucjan, Tabone, Lorraine, Tai, E Shyong, Takuro, Furusawa, Tambalis, Konstantinos D, Tammesoo, Mari-Liis, Tamosiunas, Abdonas, Tan, Eng Joo, Tang, Xun, Tanrygulyyeva, Maya, Tanser, Frank, Tao, Yong, Tarawneh, Mohammed Rasoul, Tarp, Jakob, Tarqui-Mamani, Carolina B, Taxová Braunerová, Radka, Taylor, Anne, Taylor, Julie, Tchibindat, Félicité, Te Velde, Saskia, Tebar, William R, Tell, Grethe S, Tello, Tania, Tessema, Masresha, Tham, Yih Chung, Thankappan, KR, Theobald, Holger, Theodoridis, Xenophon, Thomas, Nihal, Thorand, Barbara, Thrift, Amanda G, Tichá, Ľubica, Timmermans, Erik J, Tjandrarini, Dwi Hapsari, Tjonneland, Anne, Tolonen, Hanna K, Tolstrup, Janne S, Tomaszewski, Maciej, Topbas, Murat, Topór-Mądry, Roman, Torheim, Liv Elin, Tornaritis, Michael J, Torrent, Maties, Torres-Collado, Laura, Toselli, Stefania, Touloumi, Giota, Traissac, Pierre, Tran, Thi Tuyet-Hanh, Tremblay, Mark S, Triantafyllou, Areti, Trichopoulos, Dimitrios, Trichopoulou, Antonia, Trinh, Oanh TH, Trivedi, Atul, Tshepo, Lechaba, Tsigga, Maria, Tsintavis, Panagiotis, Tsugane, Shoichiro, Tuitele, John, Tuliakova, Azaliia M, Tulloch-Reid, Marshall K, Tullu, Fikru, Tuomainen, Tomi-Pekka, Tuomilehto, Jaakko, Twig, Gilad, Tynelius, Per, Tzala, Evangelia, Tzotzas, Themistoklis, Tzourio, Christophe, Udoji, Nwannedimma, Ueda, Peter, Ugel, Eunice, Ukoli, Flora AM, Ulmer, Hanno, Unal, Belgin, Usupova, Zhamyila, Uusitalo, Hannu MT, Uysal, Nalan, Vaitkeviciute, Justina, Valdivia, Gonzalo, Vale, Susana, Valvi, Damaskini, van Dam, Rob M, van den Born, Bert-Jan, Van der Heyden, Johan, van der Schouw, Yvonne T, Van Herck, Koen, Van Lippevelde, Wendy, Van Minh, Hoang, Van Schoor, Natasja M, van Valkengoed, Irene GM, Vanderschueren, Dirk, Vanuzzo, Diego, Varbo, Anette, Varela-Moreiras, Gregorio, Vargas, Luz Nayibe, Varona-Pérez, Patricia, Vasan, Senthil K, Vasques, Daniel G, Vatasescu, Radu, Vega, Tomas, Veidebaum, Toomas, Velasquez-Melendez, Gustavo, Velika, Biruta, Verloigne, Maïté, Veronesi, Giovanni, Verschuren, WM Monique, Victora, Cesar G, Viegi, Giovanni, Viet, Lucie, Vik, Frøydis N, Vilar, Monica, Villalpando, Salvador, Vioque, Jesus, Viriyautsahakul, Napaphan, Virtanen, Jyrki K, Visser, Marjolein, Visvikis-Siest, Sophie, Viswanathan, Bharathi, Vladulescu, Mihaela, Vlasoff, Tiina, Vocanec, Dorja, Vollenweider, Peter, Völzke, Henry, Vourli, Georgia, Voutilainen, Ari, Vrijheid, Martine, Vrijkotte, Tanja GM, Vuletić, Silvije, Wade, Alisha N, Waldhör, Thomas, Walton, Janette, Wambiya, Elvis OA, Wan Bebakar, Wan Mohamad, Wan Mohamud, Wan Nazaimoon, Wanderley Júnior, Rildo de Souza, Wang, Chongjian, Wang, Huijun, Wang, Ming-Dong, Wang, Ningli, Wang, Qian, Wang, Xiangjun, Wang, Ya Xing, Wang, Ying-Wei, Wannamethee, S Goya, Wareham, Nicholas, Wartha, Olivia, Weber, Adelheid, Wedderkopp, Niels, Weghuber, Daniel, Wei, Wenbin, Weres, Aneta, Werner, Bo, Westbury, Leo D, Whincup, Peter H, Wichstrøm, Lars, Wickramasinghe, Kremlin, Widhalm, Kurt, Widyahening, Indah S, Więcek, Andrzej, Wild, Philipp S, Wilks, Rainford J, Willeit, Johann, Willeit, Peter, Williams, Julianne, Wilsgaard, Tom, Wirth, James P, Wojtyniak, Bogdan, Woldeyohannes, Meseret, Wolf, Kathrin, Wong-McClure, Roy A, Wong, Andrew, Wong, Emily B, Wong, Jyh Eiin, Wong, Tien Yin, Woo, Jean, Woodward, Mark, Wu, Frederick C, Wu, Hon-Yen, Wu, Jianfeng, Wu, Li Juan, Wu, Shouling, Wyszyńska, Justyna, Xu, Haiquan, Xu, Liang, Yaacob, Nor Azwany, Yamborisut, Uruwan, Yan, Li, Yan, Weili, Yang, Ling, Yang, Xiaoguang, Yang, Yang, Yardim, Nazan, Yasuharu, Tabara, Yépez García, Martha, Yiallouros, Panayiotis K, Yngve, Agneta, Yoosefi, Moein, Yoshihara, Akihiro, Yotov, Yoto, You, Qi Sheng, You, San-Lin, Younger-Coleman, Novie O, Yu, Yu-Ling, Yu, Yunjiang, Yusof, Safiah Md, Yusoff, Ahmad Faudzi, Zaccagni, Luciana, Zafiropulos, Vassilis, Zainuddin, Ahmad A, Zakavi, Seyed Rasoul, Zamani, Farhad, Zambon, Sabina, Zampelas, Antonis, Zamrazilová, Hana, Zapata, Maria Elisa, Zargar, Abdul Hamid, Zaw, Ko Ko, Zayed, Ayman A, Zdrojewski, Tomasz, Żegleń, Magdalena, Zejglicova, Kristyna, Zeljkovic Vrkic, Tajana, Zeng, Yi, Zentai, Andrea, Zhang, Bing, Zhang, Luxia, Zhang, Zhen-Yu, Zhao, Dong, Zhao, Ming-Hui, Zhao, Wenhua, Zhecheva, Yanitsa V, Zhen, Shiqi, Zheng, Wei, Zheng, Yingfeng, Zholdin, Bekbolat, Zhou, Maigeng, Zhu, Dan, Zimmet, Paul, Zins, Marie, Zitt, Emanuel, Zocalo, Yanina, Zoghlami, Nada, Zuñiga Cisneros, Julio, Zuziak, Monika, and Ezzati, Majid

Published
2024
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49. Virtual calcium removal in calcified coronary arteries with photon-counting detector CT—first in-vivo experience

Author

Victor Mergen, Stéphane Rusek, Filippo Civaia, Philippe Rossi, Rengarajan Rajagopal, Eduardo Bättig, Robert Manka, Alessandro Candreva, Matthias Eberhard, and Hatem Alkadhi

Subjects
coronary CT angiography (CCTA), coronary artery disease, calcified plaque, photon-counting detector CT (PCD-CT), spectral imaging, virtual non-calcium imaging, Diseases of the circulatory (Cardiovascular) system, RC666-701
Abstract

PurposeTo evaluate the feasibility and accuracy of quantification of calcified coronary stenoses using virtual non-calcium (VNCa) images in coronary CT angiography (CCTA) with photon-counting detector (PCD) CT compared with quantitative coronary angiography (QCA).Materials and methodsThis retrospective, institutional-review board approved study included consecutive patients with calcified coronary artery plaques undergoing CCTA with PCD-CT and invasive coronary angiography between July and December 2022. Virtual monoenergetic images (VMI) and VNCa images were reconstructed. Diameter stenoses were quantified on VMI and VNCa images by two readers. 3D-QCA served as the standard of reference. Measurements were compared using Bland-Altman analyses, Wilcoxon tests, and intraclass correlation coefficients (ICC).ResultsThirty patients [mean age, 64 years ± 8 (standard deviation); 26 men] with 81 coronary stenoses from calcified plaques were included. Ten of the 81 stenoses (12%) had to be excluded because of erroneous plaque subtraction on VNCa images. Median diameter stenosis determined on 3D-QCA was 22% (interquartile range, 11%–35%; total range, 4%–88%). As compared with 3D-QCA, VMI overestimated diameter stenoses (mean differences −10%, p

Published
2024
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50. Serum Levels of Selected Cytokines and Chemokines and IgG4 in Children With Recurrent Respiratory Tract Infections

Author

Edyta Machura, Helena Krakowczyk, Magdalena Kleszyk, Elzbieta Swiętochowska, Ewa Grzywna-Rozenek, Malgorzata Rusek, Anna Góra, Ewelina Chrobak, Anna Pukas-Bochenek, and Maria Szczepanska

Subjects
Immunologic diseases. Allergy, RC581-607
Abstract

Conclusions: RANTES, IL-23, and IL-18 could be strong predictors of respiratory infections recurrence in children.

Published
2024
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