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1. The Relevance of Item-Co-Exposure For Exposure Bias Mitigation

Author: Krause, Thorsten, Deriyeva, Alina, Beinke, Jan Heinrich, Bartels, Gerrit York, and Thomas, Oliver
Subjects: Computer Science - Information Retrieval
Abstract: Through exposing items to users, implicit feedback recommender systems influence the logged interactions, and, ultimately, their own recommendations. This effect is called exposure bias and it can lead to issues such as filter bubbles and echo chambers. Previous research employed the multinomial logit model (MNL) with exposure information to reduce exposure bias on synthetic data. This extended abstract summarizes our previous study in which we investigated whether (i) these findings hold for human-generated choices, (ii) other discrete choice models mitigate bias better, and (iii) an item's estimated relevance can depend on the relevances of the other items that were presented with it. We collected a data set of biased and unbiased choices in a controlled online user study and measured the effects of overexposure and competition. We found that (i) the discrete choice models effectively mitigated exposure bias on human-generated choice data, (ii) there were no significant differences in robustness among the different discrete choice models, and (iii) only multivariate discrete choice models were robust to competition between items. We conclude that discrete choice models mitigate exposure bias effectively because they consider item-co-exposure. Moreover, exposing items alongside more or less popular items can bias future recommendations significantly and item exposure must be tracked for overcoming exposure bias. We consider our work vital for understanding what exposure bias it, how it forms, and how it can be mitigated., Comment: Accepted at the CONSEQUENCES '24 workshop, co-located with ACM RecSys '24
Published: 2024

2. Apple Intelligence Foundation Language Models

Author: Gunter, Tom, Wang, Zirui, Wang, Chong, Pang, Ruoming, Narayanan, Andy, Zhang, Aonan, Zhang, Bowen, Chen, Chen, Chiu, Chung-Cheng, Qiu, David, Gopinath, Deepak, Yap, Dian Ang, Yin, Dong, Nan, Feng, Weers, Floris, Yin, Guoli, Huang, Haoshuo, Wang, Jianyu, Lu, Jiarui, Peebles, John, Ye, Ke, Lee, Mark, Du, Nan, Chen, Qibin, Keunebroek, Quentin, Wiseman, Sam, Evans, Syd, Lei, Tao, Rathod, Vivek, Kong, Xiang, Du, Xianzhi, Li, Yanghao, Wang, Yongqiang, Gao, Yuan, Ahmed, Zaid, Xu, Zhaoyang, Lu, Zhiyun, Rashid, Al, Jose, Albin Madappally, Doane, Alec, Bencomo, Alfredo, Vanderby, Allison, Hansen, Andrew, Jain, Ankur, Anupama, Anupama Mann, Kamal, Areeba, Wu, Bugu, Brum, Carolina, Maalouf, Charlie, Erdenebileg, Chinguun, Dulhanty, Chris, Moritz, Dominik, Kang, Doug, Jimenez, Eduardo, Ladd, Evan, Shi, Fangping, Bai, Felix, Chu, Frank, Hohman, Fred, Kotek, Hadas, Coleman, Hannah Gillis, Li, Jane, Bigham, Jeffrey, Cao, Jeffery, Lai, Jeff, Cheung, Jessica, Shan, Jiulong, Zhou, Joe, Li, John, Qin, Jun, Singh, Karanjeet, Vega, Karla, Zou, Kelvin, Heckman, Laura, Gardiner, Lauren, Bowler, Margit, Cordell, Maria, Cao, Meng, Hay, Nicole, Shahdadpuri, Nilesh, Godwin, Otto, Dighe, Pranay, Rachapudi, Pushyami, Tantawi, Ramsey, Frigg, Roman, Davarnia, Sam, Shah, Sanskruti, Guha, Saptarshi, Sirovica, Sasha, Ma, Shen, Ma, Shuang, Wang, Simon, Kim, Sulgi, Jayaram, Suma, Shankar, Vaishaal, Paidi, Varsha, Kumar, Vivek, Wang, Xin, Zheng, Xin, Cheng, Walker, Shrager, Yael, Ye, Yang, Tanaka, Yasu, Guo, Yihao, Meng, Yunsong, Luo, Zhao Tang, Ouyang, Zhi, Aygar, Alp, Wan, Alvin, Walkingshaw, Andrew, Lin, Antonie, Farooq, Arsalan, Ramerth, Brent, Reed, Colorado, Bartels, Chris, Chaney, Chris, Riazati, David, Yang, Eric Liang, Feldman, Erin, Hochstrasser, Gabriel, Seguin, Guillaume, Belousova, Irina, Pelemans, Joris, Yang, Karen, Vahid, Keivan Alizadeh, Cao, Liangliang, Najibi, Mahyar, Zuliani, Marco, Horton, Max, Cho, Minsik, Bhendawade, Nikhil, Dong, Patrick, Maj, Piotr, Agrawal, Pulkit, Shan, Qi, Fu, Qichen, Poston, Regan, Xu, Sam, Liu, Shuangning, Rao, Sushma, Heeramun, Tashweena, Merth, Thomas, Rayala, Uday, Cui, Victor, Sridhar, Vivek Rangarajan, Zhang, Wencong, Zhang, Wenqi, Wu, Wentao, Zhou, Xingyu, Liu, Xinwen, Zhao, Yang, Xia, Yin, Ren, Zhile, and Ren, Zhongzheng
Subjects: Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract: We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute. These models are designed to perform a wide range of tasks efficiently, accurately, and responsibly. This report describes the model architecture, the data used to train the model, the training process, how the models are optimized for inference, and the evaluation results. We highlight our focus on Responsible AI and how the principles are applied throughout the model development.
Published: 2024

3. Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding

Author: Nazir, Danish, Bartels, Timo, Piewek, Jan, Bagdonat, Thorsten, and Fingscheidt, Tim
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract: Distributed computing in the context of deep neural networks (DNNs) implies the execution of one part of the network on edge devices and the other part typically on a large-scale cloud platform. Conventional methods propose to employ a serial concatenation of a learned image and source encoder, the latter projecting the image encoder output (bottleneck features) into a quantized representation for bitrate-efficient transmission. In the cloud, a respective source decoder reprojects the quantized representation to the original feature representation, serving as an input for the downstream task decoder performing, e.g., semantic segmentation. In this work, we propose joint source and task decoding, as it allows for a smaller network size in the cloud. This further enables the scalability of such services in large numbers without requiring extensive computational load on the cloud per channel. We demonstrate the effectiveness of our method by achieving a distributed semantic segmentation SOTA over a wide range of bitrates on the mean intersection over union metric, while using only $9.8 \%$ ... $11.59 \%$ of cloud DNN parameters used in the previous SOTA on the COCO and Cityscapes datasets., Comment: accepted in ECCV2024
Published: 2024

4. $\textit{A priori}$ and $\textit{a posteriori}$ error identities for the scalar Signorini problem

Author: Bartels, Sören, Gudi, Thirupathi, and Kaltenbach, Alex
Subjects: Mathematics - Numerical Analysis, 35J20, 49J40, 49M29, 65N30, 65N15, 65N50
Abstract: In this paper, on the basis of a (Fenchel) duality theory on the continuous level, we derive an $\textit{a posteriori}$ error identity for arbitrary conforming approximations of the primal formulation and the dual formulation of the scalar Signorini problem. In addition, on the basis of a (Fenchel) duality theory on the discrete level, we derive an $\textit{a priori}$ error identity that applies to the approximation of the primal formulation using the Crouzeix-Raviart element and to the approximation of the dual formulation using the Raviart-Thomas element, and leads to quasi-optimal error decay rates without imposing additional assumptions on the contact set and in arbitrary space dimensions., Comment: 26 pages, 5 figures
Published: 2024

5. Alteration of Neuropilin‑1 and Heparan Sulfate Interaction Impairs Murine B16 Tumor Growth

Author: Painter, Chelsea D, Sankaranarayanan, Nehru Viji, Nagarajan, Balaji, Clausen, Thomas Mandel, West, Alan MV, Setiawan, Nicollette J, Park, Jeeyoung, Porell, Ryan N, Bartels, Phillip L, Sandoval, Daniel R, Vasquez, Gabriel J, Chute, John P, Godula, Kamil, Vander Kooi, Craig W, Gordts, Philip LSM, Corbett, Kevin D, Termini, Christina M, Desai, Umesh R, and Esko, Jeffrey D
Subjects: Biochemistry and Cell Biology, Biological Sciences, Neuropilin-1, Animals, Heparitin Sulfate, Mice, Melanoma, Experimental, Protein Binding, Binding Sites, Mice, Inbred C57BL, Heparin, Molecular Dynamics Simulation, Mutation, Chemical Sciences, Organic Chemistry, Biological sciences, Chemical sciences
Abstract: Neuropilin-1 acts as a coreceptor with vascular endothelial growth factor receptors to facilitate binding of its ligand, vascular endothelial growth factor. Neuropilin-1 also binds to heparan sulfate, but the functional significance of this interaction has not been established. A combinatorial library screening using heparin oligosaccharides followed by molecular dynamics simulations of a heparin tetradecasaccharide suggested a highly conserved binding site composed of amino acid residues extending across the b1 and b2 domains of murine neuropilin-1. Mutagenesis studies established the importance of arginine513 and lysine514 for binding of heparin to a recombinant form of Nrp1 composed of the a1, a2, b1, and b2 domains. Recombinant Nrp1 protein bearing R513A,K514A mutations showed a significant loss of heparin-binding, heparin-induced dimerization, and heparin-dependent thermal stabilization. Isothermal calorimetry experiments suggested a 1:2 complex of heparin tetradecasaccharide:Nrp1. To study the impact of altered heparin binding in vivo, a mutant allele of Nrp1 bearing the R513A,K514A mutations was created in mice (Nrp1D) and crossbred to Nrp1+/- mice to examine the impact of altered heparan sulfate binding. Analysis of tumor formation showed variable effects on tumor growth in Nrp1D/D mice, resulting in a frank reduction in tumor growth in Nrp1D/- mice. Expression of mutant Nrp1D protein was normal in tissues, suggesting that the reduction in tumor growth was due to the altered binding of heparin/heparan sulfate to neuropilin-1. These findings suggest that the interaction of neuropilin-1 with heparan sulfate modulates its stability and its role in tumor formation and growth.
Published: 2024

6. A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences

Author: González-Duque, Miguel, Michael, Richard, Bartels, Simon, Zainchkovskyy, Yevgen, Hauberg, Søren, and Boomsma, Wouter
Subjects: Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: Optimizing discrete black-box functions is key in several domains, e.g. protein engineering and drug design. Due to the lack of gradient information and the need for sample efficiency, Bayesian optimization is an ideal candidate for these tasks. Several methods for high-dimensional continuous and categorical Bayesian optimization have been proposed recently. However, our survey of the field reveals highly heterogeneous experimental set-ups across methods and technical barriers for the replicability and application of published algorithms to real-world tasks. To address these issues, we develop a unified framework to test a vast array of high-dimensional Bayesian optimization methods and a collection of standardized black-box functions representing real-world application domains in chemistry and biology. These two components of the benchmark are each supported by flexible, scalable, and easily extendable software libraries (poli and poli-baselines), allowing practitioners to readily incorporate new optimization objectives or discrete optimizers. Project website: https://machinelearninglifescience.github.io/hdbo_benchmark
Published: 2024

7. Statistical estimation theory detection limits for label-free imaging

Author: Wang, Lang, Xii, Maxine, Pezeshki, Ali, and Bartels, Randy
Subjects: Physics - Optics, Physics - Biological Physics
Abstract: The emergence of label-free microscopy techniques has significantly improved our ability to precisely characterize biochemical targets, enabling non-invasive visualization of cellular organelles and tissue organization. Each label-free method has specific benefits, drawbacks, and varied varied sensitivity under measurement conditions across different types of specimens. To link all these disparate label-free optical interactions together and to compare detection sensitivity of these modalities, we investigate their sensitivity within the framework of statistical estimation theory. This paper introduces a comprehensive unified framework for evaluating the bounds for signal detection with label-free microscopy methods, including second harmonic generation (SHG), third harmonic generation (THG), coherent anti-Stokes Raman scattering (CARS), coherent Stokes Raman scattering (CSRS), stimulated Raman loss (SRL), stimulated Raman gain (SRG), stimulated emission (SE), impulsive stimulated Raman scattering (ISRS), transient absorption (TA), and photothermal effect (PTE). A general model for signal generation induced by optical scattering is developed. Based on this model, the information obtained is quantitatively analyzed using Fisher information, and the fundamental constraints on estimation precision are evaluated through the Cram\'er-Rao Lower Bound (CRLB)., Comment: 17 pages, 4 figures, 1 table
Published: 2024

8. Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability

Author: Bartels, Christian, Scauda, Martina, Coello, Neva, Dumortier, Thomas, Bornkamp, Bjoern, and Moffa, Giusi
Subjects: Statistics - Methodology, Statistics - Applications
Abstract: Non-linear mixed effects modeling and simulation (NLME M&S) is evaluated to be used for standardization with longitudinal data in presence of confounders. Standardization is a well-known method in causal inference to correct for confounding by analyzing and combining results from subgroups of patients. We show that non-linear mixed effects modeling is a particular implementation of standardization that conditions on individual parameters described by the random effects of the mixed effects model. Our motivation is that in pharmacometrics NLME M&S is routinely used to analyze clinical trials and to predict and compare potential outcomes of the same patient population under different treatment regimens. Such a comparison is a causal question sometimes referred to as causal prediction. Nonetheless, NLME M&S is rarely positioned as a method for causal prediction. As an example, a simulated clinical trial is used that assumes treatment confounder feedback in which early outcomes can cause deviations from the planned treatment schedule. Being interested in the outcome for the hypothetical situation that patients adhere to the planned treatment schedule, we put assumptions in a causal diagram. From the causal diagram, conditional independence assumptions are derived either using latent conditional exchangeability, conditioning on the individual parameters, or using sequential conditional exchangeability, conditioning on earlier outcomes. Both conditional independencies can be used to estimate the estimand of interest, e.g., with standardization, and they give unbiased estimates.
Published: 2024

9. A Continuous Relaxation for Discrete Bayesian Optimization

Author: Michael, Richard, Bartels, Simon, González-Duque, Miguel, Zainchkovskyy, Yevgen, Frellsen, Jes, Hauberg, Søren, and Boomsma, Wouter
Subjects: Computer Science - Machine Learning, Statistics - Machine Learning
Abstract: To optimize efficiently over discrete data and with only few available target observations is a challenge in Bayesian optimization. We propose a continuous relaxation of the objective function and show that inference and optimization can be computationally tractable. We consider in particular the optimization domain where very few observations and strict budgets exist; motivated by optimizing protein sequences for expensive to evaluate bio-chemical properties. The advantages of our approach are two-fold: the problem is treated in the continuous setting, and available prior knowledge over sequences can be incorporated directly. More specifically, we utilize available and learned distributions over the problem domain for a weighting of the Hellinger distance which yields a covariance function. We show that the resulting acquisition function can be optimized with both continuous or discrete optimization algorithms and empirically assess our method on two bio-chemical sequence optimization tasks.
Published: 2024

10. Normative Requirements Operationalization with Large Language Models

Author: Feng, Nick, Marsso, Lina, Yaman, S. Getir, Standen, Isobel, Baatartogtokh, Yesugen, Ayad, Reem, de Mello, Victória Oldemburgo, Townsend, Bev, Bartels, Hanne, Cavalcanti, Ana, Calinescu, Radu, and Chechik, Marsha
Subjects: Computer Science - Software Engineering
Abstract: Normative non-functional requirements specify constraints that a system must observe in order to avoid violations of social, legal, ethical, empathetic, and cultural norms. As these requirements are typically defined by non-technical system stakeholders with different expertise and priorities (ethicists, lawyers, social scientists, etc.), ensuring their well-formedness and consistency is very challenging. Recent research has tackled this challenge using a domain-specific language to specify normative requirements as rules whose consistency can then be analysed with formal methods. In this paper, we propose a complementary approach that uses Large Language Models to extract semantic relationships between abstract representations of system capabilities. These relations, which are often assumed implicitly by non-technical stakeholders (e.g., based on common sense or domain knowledge), are then used to enrich the automated reasoning techniques for eliciting and analyzing the consistency of normative requirements. We show the effectiveness of our approach to normative requirements elicitation and operationalization through a range of real-world case studies.
Published: 2024

11. Performance effects of privatisation: an empirical analysis of telecommunication companies in Germany and Romania

Author: Bartels Andreas and Weiss Pablo
Subjects: privatisation, competition, regulation, organisational change, efficiency, l33, m10, Social sciences (General), H1-99
Abstract: The privatisation of state-owned companies is still on the agenda of many governments worldwide. One often stated goal in the privatisation process is the increase of efficiency of the company.
Published: 2019
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12. Shaped-pulse optimisation of coherent soft-x-rays

Author: Bartels, R., Backus, S., Zeek, E., Misoguti, L., Vdovin, G., Christov, I. P., Murnane, M. M., and Kapteyn, H. C.
Subjects: Physics - Optics, Physics - Atomic Physics
Abstract: High-harmonic generation is one of the most extreme nonlinear-optical processes observed to date. By focusing an intense laser pulse into a gas, the light-atom interaction that occurs during the process of ionising the atoms results in the generation of harmonics of the driving laser frequency, that extend up to order ~300 (corresponding to photon energies from 4 to >500eV). Because this technique is simple to implement and generates coherent, laser-like, soft-x-ray beams, it is currently being developed for applications in science and technology including probing of dynamics in chemical and materials systems and for imaging. In this work we demonstrate that by carefully controlling the shape of intense light pulses of 6-8 optical cycles, we can control the interaction of light with an atom as it is being ionised, in a way that improves the efficiency of x-ray generation by an order of magnitude. Furthermore, we demonstrate that it is possible to control the spectral characteristics of the emitted radiation and to channel the interaction between different-order nonlinear processes. The result is an increased utility of harmonic generation as a light source, as well as the first demonstration of optical pulse-shaping techniques to control high-order nonlinear processes., Comment: 16 pages, 3 figures
Published: 2024
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13. Generation of Spatially Coherent Light at Extreme Ultraviolet Wavelengths

Author: Bartels, Randy A., Paul, Ariel, Green, Hans, Kapteyn, Henry C., Murnane, Margaret M., Backus, Sterling, Christov, Ivan P., Liu, Yanwei, Attwood, David, and Jacobsen, Chris
Subjects: Physics - Optics, Physics - Atomic Physics, Quantum Physics
Abstract: We present spatial coherence measurements of extreme-ultraviolet light generated using the process of high-harmonic upconversion of a femtosecond laser. Using a phase-matched hollow-fiber geometry, the generated beam is found to exhibit essentially full spatial coherence. The coherence of this laser-like EUV source is demonstrated by recording Gabor holograms of small objects. This work demonstrates the capability to do EUV holography using a tabletop experimental setup. Such an EUV source, with low divergence and high spatial coherence, can be used for experiments such as high-precision metrology, inspection of optical components for EUV lithography (1), and for microscopy and holography (2) with nanometer resolution. Furthermore, the short time duration of the EUV radiation (a few femtoseconds) will enable EUV microscopy and holography to be performed with ultrahigh time resolution., Comment: 16 pages, 4 figures
Published: 2024
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14. Low frequency coherent Raman imaging robust to optical scattering

Author: Smith, David R., Wilson, Jesse W., Shivkumar, Siddarth, Rigneault, Herve, and Bartels, Randy A.
Subjects: Physics - Optics, Physics - Chemical Physics
Abstract: We demonstrate low-frequency interferometric impulsive stimulated Raman scattering (ISRS) imaging with high robustness to distortions by optical scattering. ISRS is a pump-probe coherent Raman spectroscopy that can capture Raman vibrational spectra. Recording of ISRS spectra requires isolation of a probe pulse from the pump pulse. While this separation is simple in non-scattering specimens, such as liquids, scattering leads to significant pump pulse contamination and prevent the extraction of a Raman spectrum. We introduce a robust method for ISRS microscopy that works in complex scattering samples. High signal-to-noise ISRS spectra are obtained even when the pump and probe pulses pass through many scattering layers., Comment: 13 pages; 5 figures
Published: 2024

15. Exact a posteriori error control for variational problems via convex duality and explicit flux reconstruction

Author: Bartels, Sören and Kaltenbach, Alex
Subjects: Mathematics - Numerical Analysis, 35Q68, 49M25, 49M29, 65K15, 65N15, 65N50
Abstract: A posteriori error estimates are an important tool to bound discretization errors in terms of computable quantities avoiding regularity conditions that are often difficult to establish. For non-linear and non-differentiable problems, problems involving jumping coefficients, and finite element methods using anisotropic triangulations, such estimates often involve large factors, leading to sub-optimal error estimates. By making use of convex duality arguments, exact and explicit error representations are derived that avoid such effects., Comment: To appear in Advances in Applied Mechanics
Published: 2024

16. Hyperspectral acquisition with ScanImage at the single pixel level: Application to time domain coherent Raman imaging

Author: Metais, Samuel, Suresh, Sisira, Diniz, Paulo, Shivkumar, Siddarth, Bartels, Randy, Forget, Nicolas, and Rigneault, Hervé
Subjects: Physics - Optics, Physics - Medical Physics
Abstract: We present a comprehensive strategy and its practical implementation using the commercial ScanImage software platform to perform hyperspectral point scanning microscopy when a fast time dependent signal varies at each pixel level. In the proposed acquisition scheme the scan along the X axis is slowed down while the data acquisition is maintained at high pace to enable the rapid acquisition of the time dependent signal at each pixel level. The ScanImage generated raw 2D images have a very asymmetric aspect ratio between X and Y, the X axis encoding both for space and time acquisition. The results are X axis macro-pixel where the associated time depend signal is sampled therefore providing an hyperspectral information. We exemplified the proposed hyperspectral scheme in the context of time domain coherent Raman imaging where a pump pulse impulsively excites molecular vibrations that are subsequently probed by a time delayed probe pulse. In this case the time dependent signal is a fast acousto-optics delay line that can scan a delay of 4.5ps in 25$\mu$s, at each pixel level. We this acquisition scheme we demonstrate ultra-fast hyperspectral vibrational imaging in the low frequency range [10$cm^{-1}$, 150 $cm^{-1}$] over a 500 $\mu m$ field of view in 14ms (7 frames/s). The proposed acquisition scheme can be readily extended to other applications requiring to acquired a fast evolving signal at each pixel level.
Published: 2024

17. Synthetic aperture holographic third harmonic generation microscopy

Author: Farah, Yusef, Murray, Gabe, Field, Jeff, Xiu, Maxine, Wang, Lang, Pinaud, Olivier, and Bartels, Randy
Subjects: Physics - Optics, Physics - Applied Physics
Abstract: Third harmonic generation (THG) provides a valuable, label-free approach to imaging biological systems. To date, THG microscopy has been performed using point scanning methods that rely on intensity measurements lacking phase information of the complex field. We report the first demonstration of THG holographic microscopy and the reconstruction of the complex THG signal field with spatial synthetic aperture imaging. Phase distortions arising from measurement-to-measurement fluctuations and imaging components cause optical aberrations in the reconstructed THG field. We have developed an aberration-correction algorithm that estimates and corrects for these phase distortions to reconstruct the spatial synthetic aperture THG field without optical aberrations., Comment: 15 pages, 7 figures
Published: 2024

18. Emergent symmetries at criticality in multi field RFT/DP

Author: Bartels, Jochen, Contreras, Carlos, and Vacca, Gian Paolo
Subjects: High Energy Physics - Theory
Abstract: We study multifield extensions of Reggeon Field Theory (also equivalent to Directed Percolation model) at criticality in the perturbative epsilon-expansion below the upper critical dimension Dc=4 at one loop, for the special case when all fields have the same scale (anomalous) dimensions. Analyzing all the fixed points of the renormalization group flow for N=2 flavors and some for N=3, we find scale invariant solutions which are characterized by specific emergent global symmetries of the interacting potential. We also study two infinite families as a function of N having Z_N and S_{N+1} symmetries., Comment: 21 pages, 2 figures
Published: 2024

19. Necessary and Sufficient Conditions for Avoiding Babuska's Paradox on Simplicial Meshes

Author: Bartels, Sören and Tscherner, Philipp
Subjects: Mathematics - Numerical Analysis, 65N12, 65N30, 35J40, 74K20
Abstract: It is shown that discretizations based on variational or weak formulations of the plate bending problem with simple support boundary conditions do not lead to failure of convergence when polygonal domain approximations are used and the imposed boundary conditions are compatible with the nodal interpolation of the restriction of certain regular functions to approximating domains. It is further shown that this is optimal in the sense that a full realization of the boundary conditions leads to failure of convergence for conforming methods. The abstract conditions imply that standard nonconforming and discontinuous Galerkin methods converge correctly while conforming methods require a suitable relaxation of the boundary condition. The results are confirmed by numerical experiments.
Published: 2024

20. Supporting global emergency medicine practice for Canadian physicians: models to foster academic productivity and build collaborative communities of practice

Author: Hunchak, Cheryl, Battison, Andrew W., Oyedokun, Taofiq, Stempien, James, Landes, Megan, Khatib, Nour, Desouza, Kimberly, Pritchard, Jodie, Erak, Marko, Chun, Shannon, Bartels, Susan, Sithamparapillai, Arjun, Johnson, Kirsten, Eggink, Kelly, and Collier, Amanda
Published: 2024
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21. Innovations for Building Implementation Science Capacity among Researchers and Policymakers: The Depth and Diffusion Model

Author: Bartels, Sophia M., Hai Hoang, Van Thi, Le, Giang Minh, Trang, Nguyen Thu, Van Dyk, Quintin Forrest, Sripaipan, Teerada, Klyn, Laura Limarzi, Hoffman, Irving F., Maman, Suzanne, Miller, William C., Go, Vivian F., and Huong, Le Thi
Published: 2024
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22. Postinduction hypotension—don’t give me numbers, give me the cause

Author: Pellegrino, Peter Ricci and Bartels, Karsten
Published: 2024
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23. Connecting the dots: using a network approach to study the wellbeing spectrum

Author: Landvreugd, Anne, van de Weijer, Margot P., Pelt, Dirk H. M., and Bartels, Meike
Published: 2024
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24. Developmental origin of oligodendrocytes determines their function in the adult brain

Author: Foerster, Sarah, Floriddia, Elisa M., van Bruggen, David, Kukanja, Petra, Hervé, Bastien, Cheng, Shangli, Kim, Eosu, Phillips, Benjamin U., Heath, Christopher J., Tripathi, Richa B., Call, Cody, Bartels, Theresa, Ridley, Katherine, Neumann, Björn, López-Cruz, Laura, Crawford, Abbe H., Lynch, Cian J., Serrano, Manuel, Saksida, Lisa, Rowitch, David H., Möbius, Wiebke, Nave, Klaus-Armin, Rasband, Matthew N., Bergles, Dwight E., Kessaris, Nicoletta, Richardson, William D., Bussey, Timothy J., Zhao, Chao, Castelo-Branco, Gonçalo, and Franklin, Robin J. M.
Published: 2024
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25. Morphological changes in plasma-exposed poultry red mites (Dermanyssus gallinae) using high-resolution video camera and optical coherence tomography (OCT)

Author: Rüster, Vanessa, Werner, Henrik, Avramidis, Georg, Wieneke, Stephan, Strube, Christina, Schnabel, Christian, and Bartels, Thomas
Published: 2024
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26. Global emergency medicine: four part series: Paper 4: Global EM education and professionalization

Author: Collier, Amanda, Bartels, Susan A., Eggink, Kelly, Battison, Andrew W., Chun, Shannon, Desouza, Kimberly, Erak, Marko, Hunchak, Cheryl, Johnson, Kirsten, Khatib, Nour, Oyedokun, Taofiq, Sithamparapillai, Arjun, Stempien, James, Landes, Megan, and Pritchard, Jodie
Published: 2024
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27. The myth of brain damage: no change of neurofilament light chain during transient cognitive side-effects of ECT

Author: Besse, Matthias, Belz, Michael, Bartels, Claudia, Herzig, Bettina, Wiltfang, Jens, and Zilles-Wegner, David
Published: 2024
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28. Aggregation-resistant alpha-synuclein tetramers are reduced in the blood of Parkinson’s patients

Author: de Boni, Laura, Wallis, Amber, Hays Watson, Aurelia, Ruiz-Riquelme, Alejandro, Leyland, Louise-Ann, Bourinaris, Thomas, Hannaway, Naomi, Wüllner, Ullrich, Peters, Oliver, Priller, Josef, Falkenburger, Björn H, Wiltfang, Jens, Bähr, Mathias, Zerr, Inga, Bürger, Katharina, Perneczky, Robert, Teipel, Stefan, Löhle, Matthias, Hermann, Wiebke, Schott, Björn-Hendrik, Brockmann, Kathrin, Spottke, Annika, Haustein, Katrin, Breuer, Peter, Houlden, Henry, Weil, Rimona S, and Bartels, Tim
Published: 2024
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29. Actionability and familial uptake following opportunistic genomic screening in a pediatric cancer cohort

Author: Hammer-Hansen, Sophia, Stoltze, Ulrik, Bartels, Emil, Hansen, Thomas van Overeem, Byrjalsen, Anna, Tybjærg-Hansen, Anne, Juul, Klaus, Schmiegelow, Kjeld, Tfelt, Jacob, Bundgaard, Henning, Wadt, Karin, and Diness, Birgitte Rode
Published: 2024
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30. Non-motor symptoms in patients with amyotrophic lateral sclerosis: current state and future directions

Author: Bjelica, Bogdan, Bartels, Maj-Britt, Hesebeck-Brinckmann, Jasper, and Petri, Susanne
Published: 2024
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31. Evaluating the effectiveness of functional decomposition in early-stage design: development and application of problem space exploration metrics

Author: She, Jinjuan, Belanger, Elise, and Bartels, Caroline
Published: 2024
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32. Measurements of long-range two-particle correlation over a wide pseudorapidity range in p–Pb collisions at sNN = 5.02 TeV

Author: Acharya, S, Adamová, D, Aglieri Rinella, G, Agnello, M, Agrawal, N, Ahammed, Z, Ahmad, S, Ahn, SU, Ahuja, I, Akindinov, A, Al-Turany, M, Aleksandrov, D, Alessandro, B, Alfanda, HM, Alfaro Molina, R, Ali, B, Alici, A, Alizadehvandchali, N, Alkin, A, Alme, J, Alocco, G, Alt, T, Altamura, AR, Altsybeev, I, Anaam, MN, Andrei, C, Andreou, N, Andronic, A, Anguelov, V, Antinori, F, Antonioli, P, Apadula, N, Aphecetche, L, Appelshäuser, H, Arata, C, Arcelli, S, Aresti, M, Arnaldi, R, Arneiro, JGMCA, Arsene, IC, Arslandok, M, Augustinus, A, Averbeck, R, Azmi, MD, Baba, H, Badalà, A, Bae, J, Baek, YW, Bai, X, Bailhache, R, Bailung, Y, Balbino, A, Baldisseri, A, Balis, B, Banerjee, D, Banoo, Z, Barbera, R, Barile, F, Barioglio, L, Barlou, M, Barman, B, Barnaföldi, GG, Barnby, LS, Barret, V, Barreto, L, Bartels, C, Barth, K, Bartsch, E, Bastid, N, Basu, S, Batigne, G, Battistini, D, Batyunya, B, Bauri, D, Bazo Alba, JL, Bearden, IG, Beattie, C, Becht, P, Behera, D, Belikov, I, Bell Hechavarria, ADC, Bellini, F, Bellwied, R, Belokurova, S, Beltran, YAV, Bencedi, G, Beole, S, Berdnikov, Y, Berdnikova, A, Bergmann, L, Besoiu, MG, Betev, L, Bhaduri, PP, Bhasin, A, Bhat, MA, Bhattacharjee, B, Bianchi, L, Bianchi, N, Bielčík, J, and Bielčíková, J
Subjects: Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Collective Flow, Heavy Ion Experiments, Particle Correlations and Fluctuations, Mathematical Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Mathematical physics, Nuclear and plasma physics, Particle and high energy physics
Abstract: Correlations in azimuthal angle extending over a long range in pseudorapidity between particles, usually called the “ridge” phenomenon, were discovered in heavy-ion collisions, and later found in pp and p–Pb collisions. In large systems, they are thought to arise from the expansion (collective flow) of the produced particles. Extending these measurements over a wider range in pseudorapidity and final-state particle multiplicity is important to understand better the origin of these long-range correlations in small collision systems. In this Letter, measurements of the long-range correlations in p–Pb collisions at sNN = 5.02 TeV are extended to a pseudorapidity gap of ∆η ~ 8 between particles using the ALICE forward multiplicity detectors. After suppressing non-flow correlations, e.g., from jet and resonance decays, the ridge structure is observed to persist up to a very large gap of ∆η ~ 8 for the first time in p–Pb collisions. This shows that the collective flow-like correlations extend over an extensive pseudorapidity range also in small collision systems such as p–Pb collisions. The pseudorapidity dependence of the second-order anisotropic flow coefficient, v2(η), is extracted from the long-range correlations. The v2(η) results are presented for a wide pseudorapidity range of –3.1 < η < 4.8 in various centrality classes in p–Pb collisions. To gain a comprehensive understanding of the source of anisotropic flow in small collision systems, the v2(η) measurements are compared with hydrodynamic and transport model calculations. The comparison suggests that the final-state interactions play a dominant role in developing the anisotropic flow in small collision systems.
Published: 2024

33. Multiplicity and event-scale dependent flow and jet fragmentation in pp collisions at s = 13 TeV and in p–Pb collisions at sNN = 5.02 TeV

Author: Acharya, S, Adamová, D, Aglieri Rinella, G, Agnello, M, Agrawal, N, Ahammed, Z, Ahmad, S, Ahn, SU, Ahuja, I, Akindinov, A, Al-Turany, M, Aleksandrov, D, Alessandro, B, Alfanda, HM, Alfaro Molina, R, Ali, B, Alici, A, Alizadehvandchali, N, Alkin, A, Alme, J, Alocco, G, Alt, T, Altamura, AR, Altsybeev, I, Alvarado, JR, Anaam, MN, Andrei, C, Andreou, N, Andronic, A, Anguelov, V, Antinori, F, Antonioli, P, Apadula, N, Aphecetche, L, Appelshäuser, H, Arata, C, Arcelli, S, Aresti, M, Arnaldi, R, Arneiro, JGMCA, Arsene, IC, Arslandok, M, Augustinus, A, Averbeck, R, Azmi, MD, Baba, H, Badalà, A, Bae, J, Baek, YW, Bai, X, Bailhache, R, Bailung, Y, Balbino, A, Baldisseri, A, Balis, B, Banerjee, D, Banoo, Z, Barbera, R, Barile, F, Barioglio, L, Barlou, M, Barman, B, Barnaföldi, GG, Barnby, LS, Barret, V, Barreto, L, Bartels, C, Barth, K, Bartsch, E, Bastid, N, Basu, S, Batigne, G, Battistini, D, Batyunya, B, Bauri, D, Bazo Alba, JL, Bearden, IG, Beattie, C, Becht, P, Behera, D, Belikov, I, Bell Hechavarria, ADC, Bellini, F, Bellwied, R, Belokurova, S, Beltran, YAV, Bencedi, G, Beole, S, Berdnikov, Y, Berdnikova, A, Bergmann, L, Besoiu, MG, Betev, L, Bhaduri, PP, Bhasin, A, Bhat, MA, Bhattacharjee, B, Bianchi, L, Bianchi, N, and Bielčík, J
Subjects: Nuclear and Plasma Physics, Particle and High Energy Physics, Physical Sciences, Collective Flow, Hadron-Hadron Scattering, Jets, Mathematical Physics, Atomic, Molecular, Nuclear, Particle and Plasma Physics, Quantum Physics, Nuclear & Particles Physics, Mathematical physics, Nuclear and plasma physics, Particle and high energy physics
Abstract: Long- and short-range correlations for pairs of charged particles are studied via two-particle angular correlations in pp collisions at s = 13 TeV and p–Pb collisions at sNN = 5.02 TeV. The correlation functions are measured as a function of relative azimuthal angle ∆φ and pseudorapidity separation ∆η for pairs of primary charged particles within the pseudorapidity interval |η| < 0.9 and the transverse-momentum interval 1 < pT< 4 GeV/c. Flow coefficients are extracted for the long-range correlations (1.6 < |∆η| < 1.8) in various high-multiplicity event classes using the low-multiplicity template fit method. The method is used to subtract the enhanced yield of away-side jet fragments in high-multiplicity events. These results show decreasing flow signals toward lower multiplicity events. Furthermore, the flow coefficients for events with hard probes, such as jets or leading particles, do not exhibit any significant changes compared to those obtained from high-multiplicity events without any specific event selection criteria. The results are compared with hydrodynamic-model calculations, and it is found that a better understanding of the initial conditions is necessary to describe the results, particularly for low-multiplicity events.
Published: 2024

34. Numerical Approximation of Optimal Convex Shapes in $\mathbb{R}^3$

Author: Bartels, Sören, Keller, Hedwig, and Wachsmuth, Gerd
Subjects: Mathematics - Numerical Analysis, Mathematics - Optimization and Control
Abstract: In the optimization of convex domains under a PDE constraint numerical difficulties arise in the approximation of convex domains in $\mathbb{R}^3$. Previous research used a restriction to rotationally symmetric domains to reduce shape optimization problems to a two-dimensional setting. In the current research, two approaches for the approximation in $\mathbb{R}^3$ are considered. First, a notion of discrete convexity allows for a nearly convex approximation with polyhedral domains. An alternative approach is based on the recent observation that higher order finite elements can approximate convex functions conformally. As a second approach these results are used to approximate optimal convex domains with isoparametric convex domains. The proposed algorithms were tested on shape optimization problems constrained by a Poisson equation and both algorithms achieved similar results.
Published: 2023

35. GI-1.0: A Fast and Scalable Two-level Radiance Caching Scheme for Real-time Global Illumination

Author: Boissé, Guillaume, Meunier, Sylvain, de Dinechin, Heloise, Bartels, Pieterjan, Veselov, Alexander, Eto, Kenta, and Harada, Takahiro
Subjects: Computer Science - Graphics
Abstract: Real-time global illumination is key to enabling more dynamic and physically realistic worlds in performance-critical applications such as games or any other applications with real-time constraints.Hardware-accelerated ray tracing in modern GPUs allows arbitrary intersection queries against the geometry, making it possible to evaluate indirect lighting entirely at runtime. However, only a small number of rays can be traced at each pixel to maintain high framerates at ever-increasing image resolutions. Existing solutions, such as probe-based techniques, approximate the irradiance signal at the cost of a few rays per frame but suffer from a lack of details and slow response times to changes in lighting. On the other hand, reservoir-based resampling techniques capture much more details but typically suffer from poorer performance and increased amounts of noise, making them impractical for the current generation of hardware and gaming consoles. To find a balance that achieves high lighting fidelity while maintaining a low runtime cost, we propose a solution that dynamically estimates global illumination without needing any content preprocessing, thus enabling easy integration into existing real-time rendering pipelines.
Published: 2023

36. Completing the Progression Establishing an International Baseline of Primary, Middle and Secondary Students' Views of Scientific Inquiry

Author: Judith S. Lederman, Selina Bartels, Juan Jimenez, Norman G. Lederman, Katherine Acosta, Karina Adbo, Valarie L. Akerson, Mariana a. Bologna Soares de Andrade, Lucy Avraamidou, Kerry-Anne Barber, Estelle Blanquet, Saouma Boujaoude, Rosa Cardoso, Claire Dresslar Cesljarev, Pawat Chaipidech, Catherine Pozarski Connolly, David T. Crowther, Pabi Maya Das, Özgür Kivilcan Dogan, Ani Epitropova, Naruho Fukuda, Lichun Gai, Soraya Ham, Cigdem Han-Tosunoglu, Gary M. Holliday, Xiao Huang, Rola Khishfe, Anna Koumara, Elianna Kraan, Jari Lavonen, Jessica Shuk Ching Leunga, Yanmei Li, Mila Rosa Librea-Carden, Cheng Liu, Shiang-Yao Liu, Kendra McMahon, Marlene Morales, Patricia D. Morrell, Irene Neumann, Jisun Park, Mafor Penn, Eric Picholle, Katerine Plakitsi, Umesh Ramnarain, Zhelyazka Raykova, Arantza Rico, Fátima Rodríguez-Marín, Aritz Ruiz-González, Carl-Johan Rundgren, Richard Deanne Sagun, Suvi Salonen, Hui Shao, Niwat Srisawasdi, Aik Ling Tan, Radu Bogdan Toma, Tshering, Zeynep Ünsal, Clara Vidal Carulla, Jana Visnovska, Frauke Voitle, Yalcin Yalaki, Hye-jin Yoo, and Quianyun Zhu
Abstract: Knowledge of scientific inquiry (SI) is considered essential to the development of an individual's Scientific Literacy (SL) and therefore, SI is included in many international science education reform documents. Two previous large scale international studies assessed the SI understandings of students entering middle school and secondary students at the end of their formal K-12 science education. The purpose of this international project was to use the VASI-E to collect data on what primary level students have learned about SI in their first few years of school. This study adds to previous research to bridge the landscape of SI understandings now with representation from primary, middle and high school samples. A total of 4,238 students from 35 countries/regions spanning six continents participated in the study. The results show that globally, primary students are not adequately informed about SI for their age group. However, when compared with the students in the previous international studies (grades seven and 12), the primary students' understandings were surprisingly closer to the levels of understanding of SI of the secondary school students than those in the seventh grade study.
Published: 2024
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37. Global emergency medicine: four part series on best practices: Paper 1: Introduction and overview of global emergency medicine

Author: Chun, Shannon, Khatib, Nour, Sithamparapillai, Arjun, DeSouza, Kimberly, Pritchard, Jodie, Erak, Marko, Landes, Megan, Bartels, Susan, Battison, Andrew W., Hunchak, Cheryl, Oyedokun, Taofiq, Stempien, James, Eggink, Kelly, Collier, Amanda, and Johnson, Kirsten
Published: 2024
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38. Testing the Factor Structure and Construct Validity of the German Version of Gray et al.’s (2003) Sexual Fantasy Questionnaire

Author: Lehmann, Robert J. B., Schäfer, Thomas, Bartels, Ross, Sabic, Sabina, and Schache, Catrin
Published: 2024
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39. The differential impact of the DSM-5 post-traumatic stress symptoms on functional impairment in traumatized children and adolescents

Author: Bartels, Lasse, Skar, Ane-Marthe Solheim, Birkeland, Marianne Skogbrott, Ormhaug, Silje Mørup, Berliner, Lucy, and Jensen, Tine K.
Published: 2024
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40. Different inflammatory signatures based on CSF biomarkers relate to preserved or diminished brain structure and cognition

Author: Hayek, Dayana, Ziegler, Gabriel, Kleineidam, Luca, Brosseron, Frederic, Nemali, Aditya, Vockert, Niklas, Ravichandran, Kishore A., Betts, Matthew J., Peters, Oliver, Schneider, Luisa-Sophie, Wang, Xiao, Priller, Josef, Altenstein, Slawek, Schneider, Anja, Fliessbach, Klaus, Wiltfang, Jens, Bartels, Claudia, Rostamzadeh, Ayda, Glanz, Wenzel, Buerger, Katharina, Janowitz, Daniel, Perneczky, Robert, Rauchmann, Boris-Stephan, Teipel, Stefan, Kilimann, Ingo, Laske, Christoph, Mengel, David, Synofzik, Matthis, Munk, Matthias H., Spottke, Annika, Roy, Nina, Roeske, Sandra, Kuhn, Elizabeth, Ramirez, Alfredo, Dobisch, Laura, Schmid, Matthias, Berger, Moritz, Wolfsgruber, Steffen, Yakupov, Renat, Hetzer, Stefan, Dechent, Peter, Ewers, Michael, Scheffler, Klaus, Schott, Björn H., Schreiber, Stefanie, Orellana, Adelina, de Rojas, Itziar, Marquié, Marta, Boada, Mercè, Sotolongo, Oscar, González, Pablo García, Puerta, Raquel, Düzel, Emrah, Jessen, Frank, Wagner, Michael, Ruiz, Augustín, Heneka, Michael T., and Maass, Anne
Published: 2024
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41. Global emergency medicine partnerships and practice: best practices on forming partnerships

Author: Khatib, Nour, Desouza, Kimberly, Pritchard, Jodie, Erak, Marko, Landes, Megan, Chun, Shannon, Bartels, Susan, Battison, Andrew W., Sithamparapillai, Arjun, Hunchak, Cheryl, Oyedokun, Taofiq, Romann, Valerie, Heymann, Eric, Stempien, James, Johnson, Kirsten, Eggink, Kelly, and Collier, Amanda
Published: 2024
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42. RETRACTED ARTICLE: Entrée or Sampler? A Randomized Controlled Trial of Two Approaches to Single Session Internet-Based Interventions

Author: Bartels, Graham C., Cheavens, Jennifer S., and Strunk, Daniel R.
Published: 2024
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43. Stakeholder and Equity Data-Driven Implementation: a Mixed Methods Pilot Feasibility Study

Author: Aschbrenner, Kelly A., Kruse, Gina, Emmons, Karen M., Singh, Deepinder, Barber-Dubois, Marjanna E., Miller, Angela M., Thomas, Annette N., and Bartels, Stephen J.
Published: 2024
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44. Quadratic constraint consistency in the projection-free approximation of harmonic maps and bending isometries

Author: Akrivis, Georgios, Bartels, Sören, and Palus, Christian
Subjects: Mathematics - Numerical Analysis, 35J62 (35J50 35J57 65N30)
Abstract: We devise a projection-free iterative scheme for the approximation of harmonic maps that provides a second-order accuracy of the constraint violation and is unconditionally energy stable. A corresponding error estimate is valid under a mild but necessary discrete regularity condition. The method is based on the application of a BDF2 scheme and the considered problem serves as a model for partial differential equations with holonomic constraint. The performance of the method is illustrated via the computation of stationary harmonic maps and bending isometries.
Published: 2023

45. Generalized Loewy length of Cohen-Macaulay local and graded rings

Author: Bartels, Richard
Subjects: Mathematics - Commutative Algebra
Abstract: We generalize a theorem of Ding relating the generalized Loewy length $\text{g}\ell\ell(R)$ and index of a one-dimensional Cohen-Macaulay local ring $(R,\mathfrak{m},k)$. Ding proved that if $R$ is Gorenstein, the associated graded ring is Cohen-Macaulay, and $k$ is infinite, then the generalized Loewy length and index of $R$ are equal. However, if $k$ is finite, equality may not hold. We prove that if the index of a one-dimensional Cohen-Macaulay local ring is finite and the associated graded ring has a homogeneous nonzerodivisor of degree $t$, then $\text{g}\ell\ell(R) \leq \text{index}(R)+t-1$. Next we prove that if $R$ is a one-dimensional hypersurface ring with a witness to the generalized Loewy length that induces a regular initial form on the associated graded ring, then the generalized Loewy length achieves this upper bound. We then compute the generalized Loewy lengths of several families of examples of one-dimensional hypersurface rings over finite fields. Finally, we study a graded version of the generalized Loewy length and determine its value for numerical semigroup rings., Comment: Corrected Proposition 4.6
Published: 2023

46. A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation

Author: Termöhlen, Jan-Aike, Bartels, Timo, and Fingscheidt, Tim
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: The task of semantic segmentation requires a model to assign semantic labels to each pixel of an image. However, the performance of such models degrades when deployed in an unseen domain with different data distributions compared to the training domain. We present a new augmentation-driven approach to domain generalization for semantic segmentation using a re-parameterized vision transformer (ReVT) with weight averaging of multiple models after training. We evaluate our approach on several benchmark datasets and achieve state-of-the-art mIoU performance of 47.3% (prior art: 46.3%) for small models and of 50.1% (prior art: 47.8%) for midsized models on commonly used benchmark datasets. At the same time, our method requires fewer parameters and reaches a higher frame rate than the best prior art. It is also easy to implement and, unlike network ensembles, does not add any computational complexity during inference.
Published: 2023

47. Explicit a posteriori error representation for variational problems and application to TV-minimization

Author: Bartels, Sören and Kaltenbach, Alex
Subjects: Mathematics - Numerical Analysis, Mathematics - Optimization and Control, 35Q68, 49M25, 49M29, 65N30, 65N50
Abstract: In this paper, we propose a general approach for explicit a posteriori error representation for convex minimization problems using basic convex duality relations. Exploiting discrete orthogonality relations in the space of element-wise constant vector fields as well as a discrete integration-by-parts formula between the Crouzeix-Raviart and the Raviart-Thomas element, all convex duality relations are transferred to a discrete level, making the explicit a posteriori error representation -- initially based on continuous arguments only -- practicable from a numerical point of view. In addition, we provide a generalized Marini formula for the primal solution that determines a discrete primal solution in terms of a given discrete dual solution. We benchmark all these concepts via the Rudin-Osher-Fatemi model. This leads to an adaptive algorithm that yields a (quasi-optimal) linear convergence rate., Comment: 33 pages, 18 figures
Published: 2023

48. Search for dark mesons decaying to top and bottom quarks in proton-proton collisions at s = 13 TeV with the ATLAS detector

Author: Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., Abicht, N. J., Abidi, S. H., Aboelela, M., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Ackermann, A., Adam Bourdarios, C., Adamczyk, L., Addepalli, S. V., Addison, M. J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A. A., Afik, Y., Agaras, M. N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmadov, F., Ahmed, W. S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Ait Tamlihat, M., Aitbenchikh, B., Akbiyik, M., Åkesson, T. P. A., Akimov, A. V., Akiyama, D., Akolkar, N. N., Aktas, S., Al Khoury, K., Alberghi, G. L., Albert, J., Albicocco, P., Albouy, G. L., Alderweireldt, S., Alegria, Z. L., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H. M. J., Ali, S., Alibocus, S. W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B. M. M., Allen, J. F., Allendes Flores, C. A., Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Alsolami, Z. M. K., Alvarez Estevez, M., Alvarez Fernandez, A., Alves Cardoso, M., Alviggi, M. G., Aly, M., Amaral Coutinho, Y., Ambler, A., Amelung, C., Amerl, M., Ames, C. G., Amidei, D., Amini, B., Amirie, K. J., Amor Dos Santos, S. P., Amos, K. R., Amperiadou, D., An, S., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J. K., Anderson, A. C., Andrean, S. Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Aparo, M. A., Aperio Bella, L., Appelt, C., Apyan, A., Arbiol Val, S. J., Arcangeletti, C., Arce, A. T. H., Arguin, J-F., Argyropoulos, S., Arling, J.-H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N. A., Ashby Pickering, R. A., Assamagan, K., Astalos, R., Astrand, K. S. V., Atashi, S., Atkin, R. J., Atkinson, M., Atmani, H., Atmasiddha, P. A., Augsten, K., Auricchio, S., Auriol, A. D., Austrup, V. A., Avolio, G., Axiotis, K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Bachiu, A., Backman, F., Badea, A., Baer, T. M., Bagnaia, P., Bahmani, M., Bahner, D., Bai, K., Baines, J. T., Baines, L., Baker, O. K., Bakos, E., Bakshi Gupta, D., Balabram Filho, L. E., Balakrishnan, V., Balasubramanian, R., Baldin, E. M., Balek, P., Ballabene, E., Balli, F., Baltes, L. M., Balunas, W. K., Balz, J., Bamwidhi, I., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Bansal, S., Barak, L., Barakat, M., Barberio, E. L., Barberis, D., Barbero, M., Barel, M. Z., Barillari, T., Barisits, M-S., Barklow, T., Baron, P., Baron Moreno, D. A., Baroncelli, A., Barr, A. J., Barr, J. D., Barreiro, F., Barreiro Guimarães da Costa, J., Barron, U., Barros Teixeira, M. G., Barsov, S., Bartels, F., Bartoldus, R., Barton, A. E., Bartos, P., Basan, A., Baselga, M., Bassalat, A., Basso, M. J., Bataju, S., Bate, R., Bates, R. L., Batlamous, S., Batool, B., Battaglia, M., Battulga, D., Bauce, M., Bauer, M., Bauer, P., Bazzano Hurrell, L. T., Beacham, J. B., Beau, T., Beaucamp, J. Y., Beauchemin, P. H., Bechtle, P., Beck, H. P., Becker, K., Beddall, A. J., Bednyakov, V. A., Bee, C. P., Beemster, L. J., Beermann, T. A., Begalli, M., Begel, M., Behera, A., Behr, J. K., Beirer, J. F., Beisiegel, F., Belfkir, M., Bella, G., Bellagamba, L., Bellerive, A., Bellos, P., Beloborodov, K., Benchekroun, D., Bendebba, F., Benhammou, Y., Benkendorfer, K. C., Beresford, L., Beretta, M., Bergeaas Kuutmann, E., Berger, N., Bergmann, B., Beringer, J., Bernardi, G., Bernius, C., Bernlochner, F. U., Bernon, F., Berrocal Guardia, A., Berry, T., Berta, P., Berthold, A., Bethke, S., Betti, A., Bevan, A. J., Bhalla, N. K., Bhatta, S., Bhattacharya, D. S., Bhattarai, P., Bhide, K. D., Bhopatkar, V. S., Bianchi, R. M., Bianco, G., Biebel, O., Bielski, R., Biglietti, M., Billingsley, C. S., Bimgdi, Y., Bindi, M., Bingul, A., Bini, C., Bird, G. A., Birman, M., Biros, M., Biryukov, S., Bisanz, T., Bisceglie, E., Biswal, J. P., Biswas, D., Bloch, I., Blue, A., Blumenschein, U., Blumenthal, J., Bobrovnikov, V. S., Boehler, M., Boehm, B., Bogavac, D., Bogdanchikov, A. G., Boggia, L. S., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Bomben, M., Bona, M., Boonekamp, M., Booth, C. D., Borbély, A. G., Bordulev, I. S., Borissov, G., Bortoletto, D., Boscherini, D., Bosman, M., Bossio Sola, J. D., Bouaouda, K., Bouchhar, N., Boudet, L., Boudreau, J., Bouhova-Thacker, E. V., Boumediene, D., Bouquet, R., Boveia, A., Boyd, J., Boye, D., Boyko, I. R., Bozianu, L., Bracinik, J., Brahimi, N., Brandt, G., Brandt, O., Braren, F., Brau, B., Brau, J. E., Brener, R., Brenner, L., Brenner, R., Bressler, S., Brianti, G., Britton, D., Britzger, D., Brock, I., Brooijmans, G., Brooks, E. M., Brost, E., Brown, L. M., Bruce, L. E., Bruckler, T. L., Bruckman de Renstrom, P. A., Brüers, B., Bruni, A., Bruni, G., Bruschi, M., Bruscino, N., Buanes, T., Buat, Q., Buchin, D., Buckley, A. G., Bulekov, O., Bullard, B. A., Burdin, S., Burgard, C. D., Burger, A. M., Burghgrave, B., Burlayenko, O., Burleson, J., Burr, J. T. P., Burzynski, J. C., Busch, E. L., Büscher, V., Bussey, P. J., Butler, J. M., Buttar, C. M., Butterworth, J. M., Buttinger, W., Buxo Vazquez, C. J., Buzykaev, A. R., Cabrera Urbán, S., Cadamuro, L., Caforio, D., Cai, H., Cai, Y., Cai, Y., Cairo, V. M. M., Cakir, O., Calace, N., Calafiura, P., Calderini, G., Calfayan, P., Callea, G., Caloba, L. P., Calvet, D., Calvet, S., Calvetti, M., Camacho Toro, R., Camarda, S., Camarero Munoz, D., Camarri, P., Camerlingo, M. T., Cameron, D., Camincher, C., Campanelli, M., Camplani, A., Canale, V., Canbay, A. C., Canonero, E., Cantero, J., Cao, Y., Capocasa, F., Capua, M., Carbone, A., Cardarelli, R., Cardenas, J. C. J., Carducci, G., Carli, T., Carlino, G., Carlotto, J. I., Carlson, B. T., Carlson, E. 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F., Zhang, J., Zhang, J., Zhang, K., Zhang, L., Zhang, L., Zhang, P., Zhang, R., Zhang, S., Zhang, S., Zhang, T., Zhang, X., Zhang, X., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Z., Zhang, Z., Zhang, Z., Zhao, H., Zhao, T., Zhao, Y., Zhao, Z., Zhao, Z., Zhemchugov, A., Zheng, J., Zheng, K., Zheng, X., Zheng, Z., Zhong, D., Zhou, B., Zhou, H., Zhou, N., Zhou, Y., Zhou, Y., Zhou, Y., Zhu, C. G., Zhu, J., Zhu, X., Zhu, Y., Zhu, Y., Zhuang, X., Zhukov, K., Zimine, N. I., Zinsser, J., Ziolkowski, M., Živković, L., Zoccoli, A., Zoch, K., Zorbas, T. G., Zormpa, O., Zou, W., and Zwalinski, L.
Published: 2024
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49. Transformation of the AECO industry through the metaverse: potentials and challenges

Author: Claßen, Hannah, Bartels, Niels, Riedlinger, Urs, and Oppermann, Leif
Published: 2024
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50. Differential cross-sections for events with missing transverse momentum and jets measured with the ATLAS detector in 13 TeV proton-proton collisions

Author: Aad, G., Aakvaag, E., Abbott, B., Abeling, K., Abicht, N. J., Abidi, S. H., Aboelela, M., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B. S., Ackermann, A., Adam Bourdarios, C., Adamczyk, L., Addepalli, S. V., Addison, M. J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A. A., Afik, Y., Agaras, M. N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmad, A., Ahmadov, F., Ahmed, W. S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Ait Tamlihat, M., Aitbenchikh, B., Aizenberg, I., Akbiyik, M., Åkesson, T. P. A., Akimov, A. V., Akiyama, D., Akolkar, N. N., Aktas, S., Al Khoury, K., Alberghi, G. L., Albert, J., Albicocco, P., Albouy, G. L., Alderweireldt, S., Alegria, Z. L., Aleksa, M., Aleksandrov, I. N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H. M. J., Ali, S., Alibocus, S. W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B. M. M., Allen, J. F., Allendes Flores, C. A., Allport, P. P., Aloisio, A., Alonso, F., Alpigiani, C., Alvarez Estevez, M., Alvarez Fernandez, A., Alves Cardoso, M., Alviggi, M. G., Aly, M., Amaral Coutinho, Y., Ambler, A., Amelung, C., Amerl, M., Ames, C. G., Amidei, D., Amirie, K. J., Amor Dos Santos, S. P., Amos, K. R., An, S., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J. K., Andrean, S. Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A. V., Annovi, A., Antel, C., Anthony, M. T., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Aparisi Pozo, J. A., Aparo, M. A., Aperio Bella, L., Appelt, C., Apyan, A., Arbiol Val, S. J., Arcangeletti, C., Arce, A. T. H., Arena, E., Arguin, J-F., Argyropoulos, S., Arling, J.H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N. A., Assamagan, K., Astalos, R., Astrand, K. S. V., Atashi, S., Atkin, R. J., Atkinson, M., Atmani, H., Atmasiddha, P. A., Augsten, K., Auricchio, S., Auriol, A. D., Austrup, V. A., Avolio, G., Axiotis, K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Bachiu, A., Backman, F., Badea, A., Baer, T. M., Bagnaia, P., Bahmani, M., Bahner, D., Bai, K., Bailey, A. J., Baines, J. T., Baines, L., Baker, O. K., Bakos, E., Bakshi Gupta, D., Balakrishnan, V., Balasubramanian, R., Baldin, E. M., Balek, P., Ballabene, E., Balli, F., Baltes, L. M., Balunas, W. K., Balz, J., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Bansal, S., Barak, L., Barakat, M., Barberio, E. L., Barberis, D., Barbero, M., Barel, M. Z., Barends, K. N., Barillari, T., Barisits, M-S., Barklow, T., Baron, P., Baron Moreno, D. A., Baroncelli, A., Barone, G., Barr, A. J., Barr, J. D., Barreiro, F., Barreiro Guimarães da Costa, J., Barron, U., Barros Teixeira, M. G., Barsov, S., Bartels, F., Bartoldus, R., Barton, A. E., Bartos, P., Basan, A., Baselga, M., Bassalat, A., Basso, M. J., Bates, R. 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M., Della Pietra, M., Della Volpe, D., Dell’Acqua, A., Dell’Asta, L., Delmastro, M., Delsart, P. A., Demers, S., Demichev, M., Denisov, S. P., D’Eramo, L., Derendarz, D., Derue, F., Dervan, P., Desch, K., Deutsch, C., Di Bello, F. A., Di Ciaccio, A., Di Ciaccio, L., Di Domenico, A., Di Donato, C., Di Girolamo, A., Di Gregorio, G., Di Luca, A., Di Micco, B., Di Nardo, R., Diamantopoulou, M., Dias, F. A., Dias Do Vale, T., Diaz, M. A., Diaz Capriles, F. G., Didenko, M., Diehl, E. B., Díez Cornell, S., Diez Pardos, C., Dimitriadi, C., Dimitrievska, A., Dingfelder, J., Dinu, I-M., Dittmeier, S. J., Dittus, F., Divisek, M., Djama, F., Djobava, T., Doglioni, C., Dohnalova, A., Dolejsi, J., Dolezal, Z., Dona, K. M., Donadelli, M., Dong, B., Donini, J., D’Onofrio, A., D’Onofrio, M., Dopke, J., Doria, A., Dos Santos Fernandes, N., Dougan, P., Dova, M. T., Doyle, A. T., Draguet, M. A., Dreyer, E., Drivas-koulouris, I., Drnevich, M., Drozdova, M., Du, D., du Pree, T. 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W., Parrish, V. A., Parsons, J. A., Parzefall, U., Pascual Dias, B., Pascual Dominguez, L., Pasqualucci, E., Passaggio, S., Pastore, F., Patel, P., Patel, U. M., Pater, J. R., Pauly, T., Pazos, C. I., Pearkes, J., Pedersen, M., Pedro, R., Peleganchuk, S. V., Penc, O., Pender, E. A., Penn, G. D., Penski, K. E., Penzin, M., Peralva, B. S., Pereira Peixoto, A. P., Pereira Sanchez, L., Perepelitsa, D. V., Perez Codina, E., Perganti, M., Pernegger, H., Perrin, O., Peters, K., Peters, R. F. Y., Petersen, B. A., Petersen, T. C., Petit, E., Petousis, V., Petridou, C., Petru, T., Petrukhin, A., Pettee, M., Pettersson, N. E., Petukhov, A., Petukhova, K., Pezoa, R., Pezzotti, L., Pezzullo, G., Pham, T. M., Pham, T., Phillips, P. W., Piacquadio, G., Pianori, E., Piazza, F., Piegaia, R., Pietreanu, D., Pilkington, A. D., Pinamonti, M., Pinfold, J. L., Pinheiro Pereira, B. C., Pinto Pinoargote, A. E., Pintucci, L., Piper, K. M., Pirttikoski, A., Pizzi, D. A., Pizzimento, L., Pizzini, A., Pleier, M.A., Plesanovs, V., Pleskot, V., Plotnikova, E., Poddar, G., Poettgen, R., Poggioli, L., Pokharel, I., Polacek, S., Polesello, G., Poley, A., Polini, A., Pollard, C. S., Pollock, Z. B., Pompa Pacchi, E., Ponomarenko, D., Pontecorvo, L., Popa, S., Popeneciu, G. A., Poreba, A., Portillo Quintero, D. M., Pospisil, S., Postill, M. A., Postolache, P., Potamianos, K., Potepa, P. A., Potrap, I. N., Potter, C. J., Potti, H., Poveda, J., Pozo Astigarraga, M. E., Prades Ibanez, A., Pretel, J., Price, D., Primavera, M., Principe Martin, M. A., Privara, R., Procter, T., Proffitt, M. L., Proklova, N., Prokofiev, K., Proto, G., Proudfoot, J., Przybycien, M., Przygoda, W. W., Psallidas, A., Puddefoot, J. E., Pudzha, D., Pyatiizbyantseva, D., Qian, J., Qichen, D., Qin, Y., Qiu, T., Quadt, A., Queitsch-Maitland, M., Quetant, G., Quinn, R. P., Rabanal Bolanos, G., Rafanoharana, D., Ragusa, F., Rainbolt, J. L., Raine, J. A., Rajagopalan, S., Ramakoti, E., Ramirez-Berend, I. A., Ran, K., Rapheeha, N. P., Rasheed, H., Raskina, V., Rassloff, D. F., Rastogi, A., Rave, S., Ravina, B., Ravinovich, I., Raymond, M., Read, A. L., Readioff, N. P., Rebuzzi, D. M., Redlinger, G., Reed, A. S., Reeves, K., Reidelsturz, J. A., Reikher, D., Rej, A., Rembser, C., Renda, M., Rendel, M. B., Renner, F., Rennie, A. G., Rescia, A. L., Resconi, S., Ressegotti, M., Rettie, S., Reyes Rivera, J. G., Reynolds, E., Rezanova, O. L., Reznicek, P., Riani, H., Ribaric, N., Ricci, E., Richter, R., Richter, S., Richter-Was, E., Ridel, M., Ridouani, S., Rieck, P., Riedler, P., Riefel, E. M., Rieger, J. O., Rijssenbeek, M., Rimoldi, M., Rinaldi, L., Rinn, T. T., Rinnagel, M. P., Ripellino, G., Riu, I., Rivera Vergara, J. C., Rizatdinova, F., Rizvi, E., Roberts, B. R., Robertson, S. H., Robinson, D., Robles Gajardo, C. M., Robles Manzano, M., Robson, A., Rocchi, A., Roda, C., Rodriguez Bosca, S., Rodriguez Garcia, Y., Rodriguez Rodriguez, A., Rodríguez Vera, A. M., Roe, S., Roemer, J. T., Roepe-Gier, A. R., Roggel, J., Røhne, O., Rojas, R. A., Roland, C. P. A., Roloff, J., Romaniouk, A., Romano, E., Romano, M., Romero Hernandez, A. C., Rompotis, N., Roos, L., Rosati, S., Rosser, B. J., Rossi, E., Rossi, E., Rossi, L. P., Rossini, L., Rosten, R., Rotaru, M., Rottler, B., Rougier, C., Rousseau, D., Rousso, D., Roy, A., Roy-Garand, S., Rozanov, A., Rozario, Z. M. A., Rozen, Y., Rubio Jimenez, A., Ruby, A. J., Ruelas Rivera, V. H., Ruggeri, T. A., Ruggiero, A., Ruiz-Martinez, A., Rummler, A., Rurikova, Z., Rusakovich, N. A., Russell, H. L., Russo, G., Rutherfoord, J. P., Rutherford Colmenares, S., Rybacki, K., Rybar, M., Rye, E. B., Ryzhov, A., Sabater Iglesias, J. A., Sabatini, P., Sadrozinski, H. F-W., Safai Tehrani, F., Safarzadeh Samani, B., Saha, S., Sahinsoy, M., Saibel, A., Saimpert, M., Saito, M., Saito, T., Sala, A., Salamani, D., Salnikov, A., Salt, J., Salvador Salas, A., Salvatore, D., Salvatore, F., Salzburger, A., Sammel, D., Sampson, E., Sampsonidis, D., Sampsonidou, D., Sánchez, J., Sanchez Sebastian, V., Sandaker, H., Sander, C. O., Sandesara, J. A., Sandhoff, M., Sandoval, C., Sankey, D. P. C., Sano, T., Sansoni, A., Santi, L., Santoni, C., Santos, H., Santra, A., Saoucha, K. A., Saraiva, J. G., Sardain, J., Sasaki, O., Sato, K., Sauer, C., Sauerburger, F., Sauvan, E., Savard, P., Sawada, R., Sawyer, C., Sawyer, L., Sayago Galvan, I., Sbarra, C., Sbrizzi, A., Scanlon, T., Schaarschmidt, J., Schäfer, U., Schaffer, A. C., Schaile, D., Schamberger, R. D., Scharf, C., Schefer, M. M., Schegelsky, V. A., Scheirich, D., Schenck, F., Schernau, M., Scheulen, C., Schiavi, C., Schioppa, M., Schlag, B., Schleicher, K. E., Schlenker, S., Schmeing, J., Schmidt, M. A., Schmieden, K., Schmitt, C., Schmitt, N., Schmitt, S., Schoeffel, L., Schoening, A., Scholer, P. G., Schopf, E., Schott, M., Schovancova, J., Schramm, S., Schroer, T., Schultz-Coulon, H-C., Schumacher, M., Schumm, B. A., Schune, Ph., Schuy, A. J., Schwartz, H. R., Schwartzman, A., Schwarz, T. A., Schwemling, Ph., Schwienhorst, R., Sciandra, A., Sciolla, G., Scuri, F., Sebastiani, C. D., Sedlaczek, K., Seema, P., Seidel, S. C., Seiden, A., Seidlitz, B. D., Seitz, C., Seixas, J. M., Sekhniaidze, G., Selem, L., Semprini-Cesari, N., Sengupta, D., Senthilkumar, V., Serin, L., Serkin, L., Sessa, M., Severini, H., Sforza, F., Sfyrla, A., Sha, Q., Shabalina, E., Shah, A. H., Shaheen, R., Shahinian, J. D., Shaked Renous, D., Shan, L. Y., Shapiro, M., Sharma, A., Sharma, A. S., Sharma, P., Shatalov, P. B., Shaw, K., Shaw, S. M., Shcherbakova, A., Shen, Q., Sheppard, D. J., Sherwood, P., Shi, L., Shi, X., Shimmin, C. O., Shinner, J. D., Shipsey, I. P. J., Shirabe, S., Shiyakova, M., Shlomi, J., Shochet, M. J., Shojaii, J., Shope, D. R., Shrestha, B., Shrestha, S., Shrif, E. M., Shroff, M. J., Sicho, P., Sickles, A. M., Sideras Haddad, E., Sidley, A. C., Sidoti, A., Siegert, F., Sijacki, Dj., Sili, F., Silva, J. M., Silva Oliveira, M. V., Silverstein, S. B., Simion, S., Simoniello, R., Simpson, E. L., Simpson, H., Simpson, L. R., Simpson, N. D., Simsek, S., Sindhu, S., Sinervo, P., Singh, S., Sinha, S., Sinha, S., Sioli, M., Siral, I., Sitnikova, E., Sjölin, J., Skaf, A., Skorda, E., Skubic, P., Slawinska, M., Smakhtin, V., Smart, B. H., Smirnov, S. Yu., Smirnov, Y., Smirnova, L. N., Smirnova, O., Smith, A. C., Smith, E. A., Smith, H. A., Smith, J. L., Smith, R., Smizanska, M., Smolek, K., Snesarev, A. A., Snider, S. R., Snoek, H. L., Snyder, S., Sobie, R., Soffer, A., Solans Sanchez, C. A., Soldatov, E. Yu., Soldevila, U., Solodkov, A. A., Solomon, S., Soloshenko, A., Solovieva, K., Solovyanov, O. V., Solovyev, V., Sommer, P., Sonay, A., Song, W. Y., Sopczak, A., Sopio, A. L., Sopkova, F., Sorenson, J. D., Sotarriva Alvarez, I. R., Sothilingam, V., Soto Sandoval, O. J., Sottocornola, S., Soualah, R., Soumaimi, Z., South, D., Soybelman, N., Spagnolo, S., Spalla, M., Sperlich, D., Spieker, T. M., Spigo, G., Spinali, S., Spiteri, D. P., Spousta, M., Staats, E. J., Stamen, R., Stampekis, A., Standke, M., Stanecka, E., Stanek-Maslouska, W., Stange, M. V., Stanislaus, B., Stanitzki, M. M., Stapf, B., Starchenko, E. A., Stark, G. H., Stark, J., Staroba, P., Starovoitov, P., Stärz, S., Staszewski, R., Stavropoulos, G., Steentoft, J., Steinberg, P., Stelzer, B., Stelzer, H. J., Stelzer-Chilton, O., Stenzel, H., Stevenson, T. J., Stewart, G. A., Stewart, J. R., Stockton, M. C., Stoicea, G., Stolarski, M., Stonjek, S., Straessner, A., Strandberg, J., Strandberg, S., Stratmann, M., Strauss, M., Strebler, T., Strizenec, P., Ströhmer, R., Strom, D. M., Stroynowski, R., Strubig, A., Stucci, S. A., Stugu, B., Stupak, J., Styles, N. A., Su, D., Su, S., Su, W., Su, X., Suchy, D., Sugizaki, K., Sulin, V. V., Sullivan, M. J., Sultan, D. M. S., Sultanaliyeva, L., Sultansoy, S., Sumida, T., Sun, S., Sun, S., Sunneborn Gudnadottir, O., Sur, N., Sutton, M. R., Suzuki, H., Svatos, M., Swiatlowski, M., Swirski, T., Sykora, I., Sykora, M., Sykora, T., Ta, D., Tackmann, K., Taffard, A., Tafirout, R., Tafoya Vargas, J. S., Takubo, Y., Talby, M., Talyshev, A. A., Tam, K. C., Tamir, N. M., Tanaka, A., Tanaka, J., Tanaka, R., Tanasini, M., Tao, Z., Tapia Araya, S., Tapprogge, S., Tarek Abouelfadl Mohamed, A., Tarem, S., Tariq, K., Tarna, G., Tartarelli, G. F., Tas, P., Tasevsky, M., Tassi, E., Tate, A. C., Tateno, G., Tayalati, Y., Taylor, G. N., Taylor, W., Tee, A. S., Teixeira De Lima, R., Teixeira-Dias, P., Teoh, J. J., Terashi, K., Terron, J., Terzo, S., Testa, M., Teuscher, R. 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N., Turchikhin, S., Turk Cakir, I., Turra, R., Turtuvshin, T., Tuts, P. M., Tzamarias, S., Tzovara, E., Ukegawa, F., Ulloa Poblete, P. A., Umaka, E. N., Unal, G., Undrus, A., Unel, G., Urban, J., Urquijo, P., Urrejola, P., Usai, G., Ushioda, R., Usman, M., Uysal, Z., Vacek, V., Vachon, B., Vadla, K. O. H., Vafeiadis, T., Vaitkus, A., Valderanis, C., Valdes Santurio, E., Valente, M., Valentinetti, S., Valero, A., Valiente Moreno, E., Vallier, A., Valls Ferrer, J. A., Van Arneman, D. R., Van Daalen, T. R., Van Der Graaf, A., Van Gemmeren, P., Van Rijnbach, M., Van Stroud, S., Van Vulpen, I., Vana, P., Vanadia, M., Vandelli, W., Vandewall, E. R., Vannicola, D., Vannoli, L., Vari, R., Varnes, E. W., Varni, C., Varol, T., Varouchas, D., Varriale, L., Varvell, K. E., Vasile, M. E., Vaslin, L., Vasquez, G. A., Vasyukov, A., Vavricka, R., Vazeille, F., Vazquez Schroeder, T., Veatch, J., Vecchio, V., Veen, M. J., Veliscek, I., Veloce, L. M., Veloso, F., Veneziano, S., Ventura, A., Ventura Gonzalez, S., Verbytskyi, A., Verducci, M., Vergis, C., Verissimo De Araujo, M., Verkerke, W., Vermeulen, J. C., Vernieri, C., Vessella, M., Vetterli, M. C., Vgenopoulos, A., Viaux Maira, N., Vickey, T., Vickey Boeriu, O. E., Viehhauser, G. H. A., Vigani, L., Villa, M., Villaplana Perez, M., Villhauer, E. M., Vilucchi, E., Vincter, M. G., Virdee, G. S., Vishwakarma, A., Visibile, A., Vittori, C., Vivarelli, I., Voevodina, E., Vogel, F., Voigt, J. C., Vokac, P., Volkotrub, Yu., Von Ahnen, J., Von Toerne, E., Vormwald, B., Vorobel, V., Vorobev, K., Vos, M., Voss, K., Vozak, M., Vozdecky, L., Vranjes, N., Vranjes Milosavljevic, M., Vreeswijk, M., Vu, N. K., Vuillermet, R., Vujinovic, O., Vukotic, I., Wada, S., Wagner, C., Wagner, J. M., Wagner, W., Wahdan, S., Wahlberg, H., Wakida, M., Walder, J., Walker, R., Walkowiak, W., Wall, A., Wallin, E. J., Wamorkar, T., Wang, A. Z., Wang, C., Wang, C., Wang, H., Wang, J., Wang, R.J., Wang, R., Wang, R., Wang, S. M., Wang, S., Wang, T., Wang, W. T., Wang, W., Wang, X., Wang, X., Wang, X., Wang, Y., Wang, Y., Wang, Z., Wang, Z., Wang, Z., Warburton, A., Ward, R. J., Warrack, N., Waterhouse, S., Watson, A. T., Watson, H., Watson, M. F., Watton, E., Watts, G., Waugh, B. M., Webb, J. M., Weber, C., Weber, H. A., Weber, M. S., Weber, S. M., Wei, C., Wei, Y., Weidberg, A. R., Weik, E. J., Weingarten, J., Weirich, M., Weiser, C., Wells, C. J., Wenaus, T., Wendland, B., Wengler, T., Wenke, N. S., Wermes, N., Wessels, M., Wharton, A. M., White, A. S., White, A., White, M. J., Whiteson, D., Wickremasinghe, L., Wiedenmann, W., Wielers, M., Wiglesworth, C., Wilbern, D. J., Wilkens, H. G., Wilkinson, J. J. H., Williams, D. M., Williams, H. H., Williams, S., Willocq, S., Wilson, B. J., Windischhofer, P. J., Winkel, F. I., Winklmeier, F., Winter, B. T., Winter, J. K., Wittgen, M., Wobisch, M., Wolffs, Z., Wollrath, J., Wolter, M. W., Wolters, H., Wong, M. C., Woodward, E. L., Worm, S. D., Wosiek, B. K., Woźniak, K. W., Wozniewski, S., Wraight, K., Wu, C., Wu, M., Wu, M., Wu, S. L., Wu, X., Wu, Y., Wu, Z., Wuerzinger, J., Wyatt, T. R., Wynne, B. M., Xella, S., Xia, L., Xia, M., Xiang, J., Xie, M., Xie, X., Xin, S., Xiong, A., Xiong, J., Xu, D., Xu, H., Xu, L., Xu, R., Xu, T., Xu, Y., Xu, Z., Xu, Z., Yabsley, B., Yacoob, S., Yamaguchi, Y., Yamashita, E., Yamauchi, H., Yamazaki, T., Yamazaki, Y., Yan, J., Yan, S., Yan, Z., Yang, H. J., Yang, H. T., Yang, S., Yang, T., Yang, X., Yang, X., Yang, Y., Yang, Y., Yang, Z., Yao, W-M., Ye, H., Ye, H., Ye, J., Ye, S., Ye, X., Yeh, Y., Yeletskikh, I., Yeo, B. K., Yexley, M. R., Yin, P., Yorita, K., Younas, S., Young, C. J. S., Young, C., Yu, C., Yu, Y., Yuan, M., Yuan, R., Yue, L., Zaazoua, M., Zabinski, B., Zaid, E., Zak, Z. K., Zakareishvili, T., Zakharchuk, N., Zambito, S., Zamora Saa, J. A., Zang, J., Zanzi, D., Zaplatilek, O., Zeitnitz, C., Zeng, H., Zeng, J. C., Zenger, Jr, D. T., Zenin, O., Ženiš, T., Zenz, S., Zerradi, S., Zerwas, D., Zhai, M., Zhang, D. F., Zhang, J., Zhang, J., Zhang, K., Zhang, L., Zhang, P., Zhang, R., Zhang, S., Zhang, S., Zhang, T., Zhang, X., Zhang, X., Zhang, Y., Zhang, Y., Zhang, Y., Zhang, Z., Zhang, Z., Zhao, H., Zhao, T., Zhao, Y., Zhao, Z., Zhao, Z., Zhemchugov, A., Zheng, J., Zheng, K., Zheng, X., Zheng, Z., Zhong, D., Zhou, B., Zhou, H., Zhou, N., Zhou, Y., Zhou, Y., Zhu, C. G., Zhu, J., Zhu, Y., Zhu, Y., Zhuang, X., Zhukov, K., Zimine, N. I., Zinsser, J., Ziolkowski, M., Živković, L., Zoccoli, A., Zoch, K., Zorbas, T. G., Zormpa, O., Zou, W., and Zwalinski, L.
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