Author: "Nguyen A. Q." - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Nguyen A. Q."' showing total 11,680 results

Start Over Author "Nguyen A. Q."

11,680 results on '"Nguyen A. Q."'

1. On counterexamples to the Mertens conjecture

Author: Kim, Seungki and Nguyen, Phong Q.
Subjects: Mathematics - Number Theory
Abstract: We use state-of-art lattice algorithms to improve the upper bound on the lowest counterexample to the Mertens conjecture to $\approx \exp(1.96 \times 10^{19})$, which is significantly below the conjectured value of $\approx \exp(5.15 \times 10^{23})$ by Kotnik and van de Lune [KvdL04].
Published: 2025

2. CAMEx: Curvature-aware Merging of Experts

Author: Nguyen, Dung V., Nguyen, Minh H., Nguyen, Luc Q., Teo, Rachel S. Y., Nguyen, Tan M., and Tran, Linh Duy
Subjects: Computer Science - Machine Learning
Abstract: Existing methods for merging experts during model training and fine-tuning predominantly rely on Euclidean geometry, which assumes a flat parameter space. This assumption can limit the model's generalization ability, especially during the pre-training phase, where the parameter manifold might exhibit more complex curvature. Curvature-aware merging methods typically require additional information and computational resources to approximate the Fisher Information Matrix, adding memory overhead. In this paper, we introduce CAMEx (Curvature-Aware Merging of Experts), a novel expert merging protocol that incorporates natural gradients to account for the non-Euclidean curvature of the parameter manifold. By leveraging natural gradients, CAMEx adapts more effectively to the structure of the parameter space, improving alignment between model updates and the manifold's geometry. This approach enhances both pre-training and fine-tuning, resulting in better optimization trajectories and improved generalization without the substantial memory overhead typically associated with curvature-aware methods. Our contributions are threefold: (1) CAMEx significantly outperforms traditional Euclidean-based expert merging techniques across various natural language processing tasks, leading to enhanced performance during pre-training and fine-tuning; (2) we introduce a dynamic merging architecture that optimizes resource utilization, achieving high performance while reducing computational costs, facilitating efficient scaling of large language models; and (3) we provide both theoretical and empirical evidence to demonstrate the efficiency of our proposed method. The code is publicly available at: https://github.com/kpup1710/CAMEx., Comment: 10 pages, 5 Figures, 7 Tables. Published at ICLR 2025
Published: 2025

3. Is More Rehabilitation Associated with Less Inpatient Post-Acute Care Use Among Older Adults with Prolonged Hospitalization?

Author: Nguyen, Danh Q and Makam, Anil N
Subjects: hospitalization, older adults, post-acute care, rehabilitation, Clinical Sciences, General & Internal Medicine, Clinical sciences, Health services and systems, Public health
Published: 2025

4. Topology-Preserving Image Segmentation with Spatial-Aware Persistent Feature Matching

Author: Wen, Bo, Zhang, Haochen, Bartsch, Dirk-Uwe G., Freeman, William R., Nguyen, Truong Q., and An, Cheolhong
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: Topological correctness is critical for segmentation of tubular structures. Existing topological segmentation loss functions are primarily based on the persistent homology of the image. They match the persistent features from the segmentation with the persistent features from the ground truth and minimize the difference between them. However, these methods suffer from an ambiguous matching problem since the matching only relies on the information in the topological space. In this work, we propose an effective and efficient Spatial-Aware Topological Loss Function that further leverages the information in the original spatial domain of the image to assist the matching of persistent features. Extensive experiments on images of various types of tubular structures show that the proposed method has superior performance in improving the topological accuracy of the segmentation compared with state-of-the-art methods.
Published: 2024

5. Content-Aware Preserving Image Generation

Author: Le, Giang H., Nguyen, Anh Q., Kang, Byeongkeun, and Lee, Yeejin
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: Remarkable progress has been achieved in image generation with the introduction of generative models. However, precisely controlling the content in generated images remains a challenging task due to their fundamental training objective. This paper addresses this challenge by proposing a novel image generation framework explicitly designed to incorporate desired content in output images. The framework utilizes advanced encoding techniques, integrating subnetworks called content fusion and frequency encoding modules. The frequency encoding module first captures features and structures of reference images by exclusively focusing on selected frequency components. Subsequently, the content fusion module generates a content-guiding vector that encapsulates desired content features. During the image generation process, content-guiding vectors from real images are fused with projected noise vectors. This ensures the production of generated images that not only maintain consistent content from guiding images but also exhibit diverse stylistic variations. To validate the effectiveness of the proposed framework in preserving content attributes, extensive experiments are conducted on widely used benchmark datasets, including Flickr-Faces-High Quality, Animal Faces High Quality, and Large-scale Scene Understanding datasets., Comment: 35 pages, 12 figures, 1 table, journal
Published: 2024
Full Text: View/download PDF

6. Digital reconstruction of squeezed light for quantum information processing

Author: Nguyen, Huy Q., Derkach, Ivan, Hajomer, Adnan A. E., Chin, Hou-Man, Oruganti, Akash nag, Andersen, Ulrik L., Usenko, Vladyslav, and Gehring, Tobias
Subjects: Quantum Physics
Abstract: Squeezed light plays a vital role in quantum information processing. By nature, it is highly sensitive, which presents significant practical challenges, particularly in remote detection, traditionally requiring complex systems such as active phase locking, clock synchronization, and polarization control. Here, we propose and demonstrate an asynchronous detection method for squeezed light that eliminates the need for these complex systems. By employing radio-frequency heterodyne detection with a locally generated local oscillator and applying a series of digital unitary transformations, we successfully reconstruct squeezed states of light. We validate the feasibility of our approach in two key applications: the distribution of squeezed light over a 10 km fiber channel, and secure quantum key distribution between two labs connected via deployed fiber based on continuous variables using squeezed vacuum states without active modulation. This demonstrates a practical digital reconstruction method for squeezed light, opening new avenues for practical distributed quantum sensing networks and high-performance and long-distance quantum communication using squeezed states and standard telecom technology.
Published: 2024

7. Identification and Control of Neutral Anyons

Author: Nguyen, Ron Q., Zhang, Naiyuan J., Batra, Navketan, Liu, Xiaoxue, Watanabe, Kenji, Taniguchi, Takashi, Feldman, D. E., and Li, J. I. A.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics
Abstract: Beyond the well-known fermions and bosons, anyons-an exotic class of particles-emerge in the fractional quantum Hall effect and exhibit fractional quantum statistics. Anyons can be categorized by their charge, with extensive research focused on those carrying fractional charge, while charge-neutral anyons in 2D electron liquids remain largely unexplored. Here, we introduce bilayer excitons as a new pathway to realizing charge-neutral anyons. By pairing quasiparticles and quasiholes from Laughlin states, we report bilayer excitons that obey fractional quantum statistics. Through layer-asymmetric field-effect doping, we achieve precise control of the anyon population, stabilizing anyonic dipoles at temperatures below the charge gap. Furthermore, we investigate neutral anyons in even-denominator FQHE states, which are likely described by non-Abelian wavefunctions. These findings open the door to exploring non-Abelian statistics in neutral anyons, with the potential to reshape future research in topological quantum phases., Comment: 9 pages for main text, 4 main figures, total of 16 pages, total of 6 figures
Published: 2024

8. Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

Author: Mittmann, Gesa, Laiouar-Pedari, Sara, Mehrtens, Hendrik A., Haggenmüller, Sarah, Bucher, Tabea-Clara, Chanda, Tirtha, Gaisa, Nadine T., Wagner, Mathias, Klamminger, Gilbert Georg, Rau, Tilman T., Neppl, Christina, Compérat, Eva Maria, Gocht, Andreas, Hämmerle, Monika, Rupp, Niels J., Westhoff, Jula, Krücken, Irene, Seidl, Maximillian, Schürch, Christian M., Bauer, Marcus, Solass, Wiebke, Tam, Yu Chun, Weber, Florian, Grobholz, Rainer, Augustyniak, Jaroslaw, Kalinski, Thomas, Hörner, Christian, Mertz, Kirsten D., Döring, Constanze, Erbersdobler, Andreas, Deubler, Gabriele, Bremmer, Felix, Sommer, Ulrich, Brodhun, Michael, Griffin, Jon, Lenon, Maria Sarah L., Trpkov, Kiril, Cheng, Liang, Chen, Fei, Levi, Angelique, Cai, Guoping, Nguyen, Tri Q., Amin, Ali, Cimadamore, Alessia, Shabaik, Ahmed, Manucha, Varsha, Ahmad, Nazeel, Messias, Nidia, Sanguedolce, Francesca, Taheri, Diana, Baraban, Ezra, Jia, Liwei, Shah, Rajal B., Siadat, Farshid, Swarbrick, Nicole, Park, Kyung, Hassan, Oudai, Sakhaie, Siamak, Downes, Michelle R., Miyamoto, Hiroshi, Williamson, Sean R., Holland-Letz, Tim, Schneider, Carolin V., Kather, Jakob Nikolas, Tolkach, Yuri, and Brinker, Titus J.
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract: The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system. While artificial intelligence (AI) has shown promise in accurately predicting Gleason scores, these predictions often lack inherent explainability, potentially leading to distrust in human-machine interactions. To address this issue, we introduce a novel dataset of 1,015 tissue microarray core images, annotated by an international group of 54 pathologists. The annotations provide detailed localized pattern descriptions for Gleason grading in line with international guidelines. Utilizing this dataset, we develop an inherently explainable AI system based on a U-Net architecture that provides predictions leveraging pathologists' terminology. This approach circumvents post-hoc explainability methods while maintaining or exceeding the performance of methods trained directly for Gleason pattern segmentation (Dice score: 0.713 $\pm$ 0.003 trained on explanations vs. 0.691 $\pm$ 0.010 trained on Gleason patterns). By employing soft labels during training, we capture the intrinsic uncertainty in the data, yielding strong results in Gleason pattern segmentation even in the context of high interobserver variability. With the release of this dataset, we aim to encourage further research into segmentation in medical tasks with high levels of subjectivity and to advance the understanding of pathologists' reasoning processes., Comment: 58 pages, 15 figures (incl. supplementary)
Published: 2024

9. LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model

Author: Nguyen, Duy M. H., Diep, Nghiem T., Nguyen, Trung Q., Le, Hoang-Bao, Nguyen, Tai, Nguyen, Tien, Nguyen, TrungTin, Ho, Nhat, Xie, Pengtao, Wattenhofer, Roger, Zhou, James, Sonntag, Daniel, and Niepert, Mathias
Subjects: Computer Science - Machine Learning
Abstract: State-of-the-art medical multi-modal large language models (med-MLLM), like LLaVA-Med or BioMedGPT, leverage instruction-following data in pre-training. However, those models primarily focus on scaling the model size and data volume to boost performance while mainly relying on the autoregressive learning objectives. Surprisingly, we reveal that such learning schemes might result in a weak alignment between vision and language modalities, making these models highly reliant on extensive pre-training datasets - a significant challenge in medical domains due to the expensive and time-consuming nature of curating high-quality instruction-following instances. We address this with LoGra-Med, a new multi-graph alignment algorithm that enforces triplet correlations across image modalities, conversation-based descriptions, and extended captions. This helps the model capture contextual meaning, handle linguistic variability, and build cross-modal associations between visuals and text. To scale our approach, we designed an efficient end-to-end learning scheme using black-box gradient estimation, enabling faster LLaMa 7B training. Our results show LoGra-Med matches LLAVA-Med performance on 600K image-text pairs for Medical VQA and significantly outperforms it when trained on 10% of the data. For example, on VQA-RAD, we exceed LLAVA-Med by 20.13% and nearly match the 100% pre-training score (72.52% vs. 72.64%). We also surpass SOTA methods like BiomedGPT on visual chatbots and RadFM on zero-shot image classification with VQA, highlighting the effectiveness of multi-graph alignment., Comment: First version, fixed typo
Published: 2024

10. Mechanistic Interrogation of Photochemical Nickel-Catalyzed Tetrahydrofuran Arylation Leveraging Enantioinduction Data

Author: McManus, Brennan D, Hung, Lang Cheng, Taylor, Olivia R, Nguyen, Paul Q, Cedeño, Alfredo L, Arriola, Kyle, Bradley, Robert D, Saucedo, Paul J, Hannan, Robert J, Luna, Yvette A, Farias, Phillip, and Bahamonde, Ana
Subjects: Inorganic Chemistry, Chemical Sciences, General Chemistry, Chemical sciences, Engineering
Abstract: This manuscript details the development of an asymmetric variant for the Ni-photoredox α-arylation of tetrahydrofuran (THF), which was originally reported in a racemic fashion by Doyle and Molander. Leveraging the enantioselectivity data that we obtained, a complex mechanistic scenario different from those originally proposed is uncovered. Specifically, an unexpected dependence of the product enantiomeric ratio was observed on both the halide identity (aryl chloride vs bromide substrates) and the Ni source. Stoichiometric experiments and time course analyses of the evolution of product enantioselectivity with time revealed a different initial behavior for reactions carried out with Ni(II) and Ni(0) precatalysts that later converge into a common mechanism. For studying the predominant pathway, this paper describes a rare example of the syntheses of chiral bisoxazoline Ni(II) aryl halide complexes, which proved essential for probing enantioselectivity via stochiometric experiments. These experiments identify the Ni(II) aryl halide complex as the primary species involved in the key THF radical trapping event. A multivariate linear regression model is presented that further validates the dominant mechanism and delineates structure-selectivity relationships between ligand properties and enantioselectivity. EPR analysis of Ni(0)/aryl halide mixtures highlights the fast access to a variety of Ni complexes in 0, +1, and +2 oxidation states that are proposed to be responsible for the initial divergence in mechanism observed when using Ni(0) precatalysts. More broadly, beyond advancing the mechanistic understanding of this THF arylation protocol, this work underscores the potential of leveraging enantioselectivity data to unravel intricate mechanistic manifolds within Ni-photoredox catalysis.
Published: 2024

11. Origin of yield stress and mechanical plasticity in model biological tissues

Author: Nguyen, Anh Q., Huang, Junxiang, and Bi, Dapeng
Subjects: Physics - Biological Physics, Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Materials Science, Condensed Matter - Soft Condensed Matter
Abstract: During development and under normal physiological conditions, biological tissues are continuously subjected to substantial mechanical stresses. In response to large deformations cells in a tissue must undergo multicellular rearrangements in order to maintain integrity and robustness. However, how these events are connected in time and space remains unknown. Here, using computational and theoretical modeling, we studied the mechanical plasticity of epithelial monolayers under large deformations. Our results demonstrate that the jamming-unjamming (solid-fluid) transition in tissues can vary significantly depending on the degree of deformation, implying that tissues are highly unconventional materials. Using analytical modeling, we elucidate the origins of this behavior. We also demonstrate how a tissue accommodates large deformations through a collective series of rearrangements, which behave similarly to avalanches in non-living materials. We find that these tissue avalanches are governed by stress redistribution and the spatial distribution of vulnerable spots. Finally, we propose a simple and experimentally accessible framework to predict avalanches and infer tissue mechanical stress based on static images.
Published: 2024

12. Transverse Instability of Stokes Waves at Finite Depth

Author: Creedon, Ryan P., Nguyen, Huy Q., and Strauss, Walter A.
Subjects: Mathematics - Analysis of PDEs, Physics - Fluid Dynamics, 76B07, 35Q35, 35R35, 35C07, 35B35
Abstract: A Stokes wave is a traveling free-surface periodic water wave that is constant in the direction transverse to the direction of propagation. In 1981 McLean discovered via numerical methods that Stokes waves are unstable with respect to transverse perturbations. In \cite{CreNguStr} for the case of infinite depth we proved rigorously that the spectrum of the water wave system linearized at small Stokes waves, with respect to transverse perturbations, contains unstable eigenvalues lying approximately on an ellipse. In this paper we consider the case of finite depth and prove that the same spectral instability result holds for all but finitely many values of the depth. The computations and some aspects of the theory are considerably more complicated in the finite depth case., Comment: 44 pages, 3 figures. arXiv admin note: text overlap with arXiv:2312.08469
Published: 2024

13. Absorption and scattering properties of nanoparticles in an absorbing medium: revisiting with experimental validation

Author: Hong, Pham Thi, Kien, Nguyen Trung, Tuyen, Nguyen Viet, Nguyen, Hung Q., and Nghiem, H. T. M.
Subjects: Physics - Optics, Physics - Applied Physics
Abstract: Absorption and scattering properties of nanoparticles immersed in an absorbing medium are essential in understanding the overall properties of composites and in designing materials with expected functionalities. In this paper, we establish the model that links the absorption and scattering coefficients of individual particles with the reflectance and transmittance spectra of thin-film composite, supported by well-controlled experiments. Thin films consisting of TiO$_2$ nanoparticles embedded in PMMA are fabricated on glass substrates using spin-coating and then peeled off to form standalone samples for spectroscopy measurements. The absorption $K$ and scattering $S$ coefficients of multiple nanoparticles are calculated from the measured transmittance and reflectance using the Kubelka-Munk theory in combination with the Saunderson correction. From the theoretical side, the absorption $K$ and scattering $S$ coefficients are the accumulation of absorption and scattering of individual particles, which are derived from the Mie theory. The agreement between the $K$ and $S$ coefficients extracted from experimental data and from theoretical calculations gives deep insight into the significant attenuating effect of absorption and scattering on each particle due to the surrounding medium. Furthermore, the validated model of nanoparticles immersed in an absorbing medium can be used to obtain the preliminary results for materials designed toward radiative cooling., Comment: 27 pages, 13 figures
Published: 2024

14. Excitons in the Fractional Quantum Hall Effect

Author: Zhang, Naiyuan J., Nguyen, Ron Q., Batra, Navketan, Liu, Xiaoxue, Watanabe, Kenji, Taniguchi, Takashi, Feldman, D. E., and Li, J. I. A.
Subjects: Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Strongly Correlated Electrons
Abstract: Excitons, Coulomb-driven bound states of electrons and holes, are typically composed of integer charges. However, in bilayer systems influenced by charge fractionalization, a more exotic form of interlayer exciton can emerge, where pairing occurs between constituents that carry fractional charges. Despite numerous theoretical predictions for such fractional excitons, their experimental observation has remained elusive. Here, we report transport signatures of excitonic pairing within fractional quantum Hall effect states. By probing the composition of these excitons and their impact on the underlying wavefunction, we uncover two novel quantum phases of matter. One of these orders can be viewed as the fractional counterpart of the exciton condensate at a total filling of one, while the other involves a more unusual type of exciton that obeys fermionic and anyonic quantum statistics, challenging the standard paradigm of bosonic excitons., Comment: 9 pages for main text with 4 figures. In total of 24 pages and 15 figures
Published: 2024
Full Text: View/download PDF

15. Multicell-Fold: geometric learning in folding multicellular life

Author: Yang, Haiqian, Nguyen, Anh Q., Bi, Dapeng, Buehler, Markus J., and Guo, Ming
Subjects: Condensed Matter - Soft Condensed Matter, Computer Science - Machine Learning, Physics - Biological Physics
Abstract: During developmental processes such as embryogenesis, how a group of cells fold into specific structures, is a central question in biology that defines how living organisms form. Establishing tissue-level morphology critically relies on how every single cell decides to position itself relative to its neighboring cells. Despite its importance, it remains a major challenge to understand and predict the behavior of every cell within the living tissue over time during such intricate processes. To tackle this question, we propose a geometric deep learning model that can predict multicellular folding and embryogenesis, accurately capturing the highly convoluted spatial interactions among cells. We demonstrate that multicellular data can be represented with both granular and foam-like physical pictures through a unified graph data structure, considering both cellular interactions and cell junction networks. We successfully use our model to achieve two important tasks, interpretable 4-D morphological sequence alignment, and predicting local cell rearrangements before they occur at single-cell resolution. Furthermore, using an activation map and ablation studies, we demonstrate that cell geometries and cell junction networks together regulate local cell rearrangement which is critical for embryo morphogenesis. This approach provides a novel paradigm to study morphogenesis, highlighting a unified data structure and harnessing the power of geometric deep learning to accurately model the mechanisms and behaviors of cells during development. It offers a pathway toward creating a unified dynamic morphological atlas for a variety of developmental processes such as embryogenesis.
Published: 2024

16. Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

Author: Nguyen, Duy M. H., Le, An T., Nguyen, Trung Q., Diep, Nghiem T., Nguyen, Tai, Duong-Tran, Duy, Peters, Jan, Shen, Li, Niepert, Mathias, and Sonntag, Daniel
Subjects: Computer Science - Computer Vision and Pattern Recognition
Abstract: Prompt learning methods are gaining increasing attention due to their ability to customize large vision-language models to new domains using pre-trained contextual knowledge and minimal training data. However, existing works typically rely on optimizing unified prompt inputs, often struggling with fine-grained classification tasks due to insufficient discriminative attributes. To tackle this, we consider a new framework based on a dual context of both domain-shared and class-specific contexts, where the latter is generated by Large Language Models (LLMs) such as GPTs. Such dual prompt methods enhance the model's feature representation by joining implicit and explicit factors encoded in LLM knowledge. Moreover, we formulate the Unbalanced Optimal Transport (UOT) theory to quantify the relationships between constructed prompts and visual tokens. Through partial matching, UOT can properly align discrete sets of visual tokens and prompt embeddings under different mass distributions, which is particularly valuable for handling irrelevant or noisy elements, ensuring that the preservation of mass does not restrict transport solutions. Furthermore, UOT's characteristics integrate seamlessly with image augmentation, expanding the training sample pool while maintaining a reasonable distance between perturbed images and prompt inputs. Extensive experiments across few-shot classification and adapter settings substantiate the superiority of our model over current state-of-the-art baselines., Comment: Version 1
Published: 2024

17. Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives

Author: Erdur, Ayhan Can, Rusche, Daniel, Scholz, Daniel, Kiechle, Johannes, Fischer, Stefan, Llorián-Salvador, Óscar, Buchner, Josef A., Nguyen, Mai Q., Etzel, Lucas, Weidner, Jonas, Metz, Marie-Christin, Wiestler, Benedikt, Schnabel, Julia, Rueckert, Daniel, Combs, Stephanie E., and Peeken, Jan C.
Published: 2025
Full Text: View/download PDF

18. Practical challenges in mediation analysis: a guide for applied researchers

Author: Schuler, Megan S., Coffman, Donna L., Stuart, Elizabeth A., Nguyen, Trang Q., Vegetabile, Brian, and McCaffrey, Daniel F.
Published: 2025
Full Text: View/download PDF

19. Is More Rehabilitation Associated with Less Inpatient Post-Acute Care Use Among Older Adults with Prolonged Hospitalization?: Rehabilitation Duration and Post-Acute Care Use

Author: Nguyen, Danh Q. and Makam, Anil N.
Published: 2025
Full Text: View/download PDF

20. An Adapted Friendship Bench Counseling Intervention (FB) to Improve Mental Health and HIV Care Engagement Outcomes Among People Living with HIV (PWH) Who Inject Drugs in Hanoi, Vietnam: Results from the VITAL Pilot Randomized Controlled Trial

Author: Gaynes, Bradley N., Tran, Ha V., Nong, Ha T. T., Filipowicz, Teresa R., Landrum, Kelsey R., Tran, Thuy T. T., Nguyen, Vu Q., Verhey, Ruth, Nguyen, Ha Nhat, Giang, Le Minh, and Pence, Brian W.
Published: 2025
Full Text: View/download PDF

21. Facile synthesis of ZnFe2O4/bentonite composites and their utilization for photocatalytic degradation of rhodamine B dye

Author: Nguyen, L. T. T., Nguyen, H. T. T., Nguyen, L. T. H., Nguyen, H. T. T., Vu, N. V., Vu, H. T., Tran, H. T., Nguyen, H. Q., Dinh, H. T. T., and Tran, T. V.
Published: 2025
Full Text: View/download PDF

22. Topic Modelling and Sentiment Analysis of Visitor Experience at Historical Tourism Sites

Author: Bui, N. M. Ngoc, Nguyen, T. Q. Nhu, Tran, T. H. Giang, Dang, T. Doan, Dang, N. Thang, Li, Gang, Series Editor, Filipe, Joaquim, Series Editor, Ghosh, Ashish, Series Editor, Xu, Zhiwei, Series Editor, Thai-Nghe, Nguyen, editor, Do, Thanh-Nghi, editor, and Benferhat, Salem, editor
Published: 2025
Full Text: View/download PDF

23. Enhanced Small Liver Lesion Detection and Segmentation Using a Size-Focused Multi-model Approach in CT Scans

Author: Al-Battal, Abdullah F., Tang, Van Ha, Truong, Steven Q. H., Nguyen, Truong Q., An, Cheolhong, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Xu, Xuanang, editor, Cui, Zhiming, editor, Rekik, Islem, editor, Ouyang, Xi, editor, and Sun, Kaicong, editor
Published: 2025
Full Text: View/download PDF

24. Multi-factor Component Tree Loss Function: A Topology-Preserving Method for Skeleton Segmentation from Bone Scintigrams

Author: Nguyen, Anh Q., Cousty, Jean, Kenmochi, Yukiko, Higashiyama, Shigeaki, Kawabe, Joji, Shimizu, Akinobu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chen, Chao, editor, Singh, Yash, editor, and Hu, Xiaoling, editor
Published: 2025
Full Text: View/download PDF

25. First joint oscillation analysis of Super-Kamiokande atmospheric and T2K accelerator neutrino data

Author: Super-Kamiokande, collaborations, T2K, Abe, S., Abe, K., Akhlaq, N., Akutsu, R., Alarakia-Charles, H., Ali, A., Hakim, Y. I. Alj, Monsalve, S. Alonso, Amanai, S., Andreopoulos, C., Anthony, L. H. V., Antonova, M., Aoki, S., Apte, K. A., Arai, T., Arihara, T., Arimoto, S., Asada, Y., Asaka, R., Ashida, Y., Atkin, E. T., Babu, N., Barbi, M., Barker, G. J., Barr, G., Barrow, D., Bates, P., Batkiewicz-Kwasniak, M., Beauchêne, A., Berardi, V., Berns, L., Bhadra, S., Bhuiyan, N., Bian, J., Blanchet, A., Blondel, A., Bodur, B., Bolognesi, S., Bordoni, S., Boyd, S. B., Bravar, A., Bronner, C., Bubak, A., Avanzini, M. Buizza, Burton, G. T., Caballero, J. A., Calabria, N. F., Cao, S., Carabadjac, D., Carter, A. J., Cartwright, S. L., Casado, M. P., Catanesi, M. G., Cervera, A., Chakrani, J., Chalumeau, A., Chen, S., Cherdack, D., Choi, K., Chong, P. S., Chvirova, A., Cicerchia, M., Coleman, J., Collazuol, G., Cook, L., Cormier, F., Cudd, A., Dalmazzone, C., Daret, T., Dasgupta, P., Davis, C., Davydov, Yu. I., De Roeck, A., De Rosa, G., Dealtry, T., Delogu, C. C., Densham, C., Dergacheva, A., Dharmapal, R., Di Lodovico, F., Lopez, G. Diaz, Dolan, S., Douqa, D., Doyle, T. A., Drapier, O., Duffy, K. E., Dumarchez, J., Dunne, P., Dygnarowicz, K., D'ago, D., Edwards, R., Eguchi, A., Elias, J., Emery-Schrenk, S., Erofeev, G., Ershova, A., Eurin, G., Fannon, J. E. P., Fedorova, D., Fedotov, S., Feltre, M., Feng, J., Feng, L., Ferlewicz, D., Fernandez, P., Finch, A. J., Aguirre, G. A. Fiorentini, Fiorillo, G., Fitton, M. D., Patiño, J. M. Franco, Friend, M., Fujii, Y., Fujisawa, C., Fujita, S., Fukuda, Y., Furui, Y., Gao, J., Gaur, R., Giampaolo, A., Giannessi, L., Giganti, C., Glagolev, V., Goldsack, A., Gonin, M., Rosa, J. González, Goodman, E. A. G., Gorin, A., Gorshanov, K., Gousy-Leblanc, V., Grassi, M., Griskevich, N. J., Guigue, M., Hadley, D., Haigh, J. T., Han, S., Harada, M., Harris, D. A., Hartz, M., Hasegawa, T., Hassani, S., Hastings, N. C., Hayato, Y., Heitkamp, I., Henaff, D., Hill, J., Hino, Y., Hiraide, K., Hogan, M., Holeczek, J., Holin, A., Holvey, T., Van, N. T. Hong, Honjo, T., Horiuchi, S., Hosokawa, K., Hu, Z., Hu, J., Iacob, F., Ichikawa, A. K., Ieki, K., Ikeda, M., Iovine, N., Ishida, T., Ishino, H., Ishitsuka, M., Ishizuka, T., Ito, H., Itow, Y., Izmaylov, A., Izumiyama, S., Jakkapu, M., Jamieson, B., Jang, M. C., Jang, J. S., Jenkins, S. J., Jesús-Valls, C., Ji, J. Y., Jia, M., Jiang, J., Jonsson, P., Joshi, S., Jung, C. K., Jung, S., Kabirnezhad, M., Kaboth, A. C., Kajita, T., Kakuno, H., Kameda, J., Kanemura, Y., Kaneshima, R., Karpova, S., Kasetti, S. P., Kashiwagi, Y., Kasturi, V. S., Kataoka, Y., Katori, T., Kawamura, Y., Kawaue, M., Kearns, E., Khabibullin, M., Khotjantsev, A., Kikawa, T., Kim, S. B., King, S., Kiseeva, V., Kisiel, J., Kneale, L., Kobayashi, H., Kobayashi, T., Kobayashi, M., Koch, L., Kodama, S., Kolupanova, M., Konaka, A., Kormos, L. L., Koshio, Y., Koto, T., Kowalik, K., Kudenko, Y., Kudo, Y., Kuribayashi, S., Kurjata, R., Kurochka, V., Kutter, T., Kuze, M., Kwon, E., La Commara, M., Labarga, L., Lachat, M., Lachner, K., Lagoda, J., Lakshmi, S. M., LamersJames, M., Langella, A., Laporte, J. -F., Last, D., Latham, N., Laveder, M., Lavitola, L., Lawe, M., Learned, J. G., Lee, Y., Lee, S. H., Silverio, D. Leon, Levorato, S., Lewis, S., Li, X., Li, W., Lin, C., Litchfield, R. P., Liu, S. L., Liu, Y. M., Long, K. R., Longhin, A., Moreno, A. Lopez, Lu, X., Ludovici, L., Lux, T., Machado, L. N., Maekawa, Y., Magaletti, L., Mahn, K., Mahtani, K. K., Malek, M., Mandal, M., Manly, S., Marino, A. D., Martens, K., Marti, Ll., Martin, D. G. R., Martin, J. F., Martin, D., Martini, M., Maruyama, T., Matsubara, T., Matsumoto, R., Mattiazzi, M., Matveev, V., Mauger, C., Mavrokoridis, K., Mazzucato, E., McCauley, N., McElwee, J. M., McFarland, K. S., McGrew, C., McKean, J., Mefodiev, A., Megias, G. D., Mehta, P., Mellet, L., Menjo, H., Metelko, C., Mezzetto, M., Migenda, J., Mijakowski, P., Miki, S., Miller, E., Minamino, A., Mine, S., Mineev, O., Mirabito, J., Miura, M., Bueno, L. Molina, Moon, D. H., Mori, M., Moriyama, S., Morrison, P., Muñoz, A., Mueller, Th. A., Munford, D., Munteanu, L., Nagai, Y., Nagai, K., Nakadaira, T., Nakagiri, K., Nakahata, M., Nakajima, Y., Nakamura, A., Nakamura, K., Nakamura, K. D., Nakamura, T., Nakanishi, F., Nakano, Y., Nakaya, T., Nakayama, S., Nakayoshi, K., Naseby, C. E. R., Ngoc, T. V., Nguyen, V. Q., Nguyen, D. T., Nicholson, M., Niewczas, K., Ninomiya, K., Nishijima, K., Nishimori, S., Nishimura, Y., Noguchi, Y., Nosek, T., Nova, F., Novella, P., Nugent, J. C., Odagawa, T., Okazaki, R., Okazawa, H., Okinaga, W., Okumura, K., Okusawa, T., Ommura, Y., Onda, N., Ospina, N., Osu, L., Oyama, Y., O'Flaherty, M., O'Keeffe, H. M., O'Sullivan, L., Périssé, L., Paganini, P., Palladino, V., Paolone, V., Pari, M., Park, R. G., Parlone, J., Pasternak, J., Payne, D., Penn, G. C., de Perio, P., Pershey, D., Pfaff, M., Pickering, L., Pintaudi, G., Pistillo, C., Pointon, B. W., Popov, B., Yrey, A. Portocarrero, Porwit, K., Posiadala-Zezula, M., Prabhu, Y. S., Prasad, H., Pronost, G., Prouse, N. W., Pupilli, F., Quilain, B., Quyen, P. T., Raaf, J. L., Radermacher, T., Radicioni, E., Radics, B., Ramirez, M. A., Ramsden, R. M., Ratoff, P. N., Reh, M., Riccio, C., Richards, B., Rogly, R., Rondio, E., Roth, S., Roy, N., Rubbia, A., Russo, L., Rychter, A., Saenz, W., Sakai, S., Sakashita, K., Samani, S., Santos, A. D., Sato, Y., Sato, K., Schefke, T., Schloesser, C. M., Scholberg, K., Scott, M., Seiya, Y., Sekiguchi, T., Sekiya, H., Seo, J. W., Sgalaberna, D., Shaikhiev, A., Shi, W., Shiba, H., Shibayama, R., Shigeta, N., Shima, S., Shimamura, R., Shimizu, K., Shinoki, M., Shiozawa, M., Shiraishi, Y., Shvartsman, A., Skrobova, N., Skwarczynski, K., Smy, M. B., Smyczek, D., Sobczyk, J. T., Sobel, H. W., Soler, F. J. P., Sonoda, Y., Speers, A. J., Spina, R., Stroke, Y., Suslov, I. A., Suvorov, S., Suzuki, S., Suzuki, A., Suzuki, S. Y., Suzuki, Y., Sánchez, F., Tada, T., Tada, M., Tairafune, S., Takagi, Y., Takeda, A., Takemoto, Y., Takeuchi, Y., Takhistov, V., Takifuji, K., Tanaka, H., Tanaka, H. K., Tanigawa, H., Taniuchi, N., Tano, T., Tarrant, A., Tashiro, T., Teklu, A., Terada, K., Tereshchenko, V. V., Thamm, N., Thiesse, M. D., Thompson, L. F., Toki, W., Tomiya, T., Touramanis, C., Tsui, K. M., Tsukamoto, T., Tzanov, M., Uchida, Y., Vagins, M. R., Vargas, D., Varghese, M., Vasseur, G., Villa, E., Vinning, W. G. S., Virginet, U., Vladisavljevic, T., Wachala, T., Wakabayashi, D., Wallace, H. T., Walsh, J. G., Walter, C. W., Wan, L., Wang, X., Wang, Y., Wark, D., Wascko, M. O., Watanabe, E., Weber, A., Wendell, R. A., Wester, T., Wilking, M. J., Wilkinson, C., Wilson, S. T., Wilson, J. R., Wood, K., Wret, C., Wu, Y., Xia, J., Xie, Z., Xu, B. D., Xu, Y. -H., Yamamoto, K., Yamamoto, T., Yamauchi, K., Yanagisawa, C., Yang, G., Yang, B. S., Yang, J. Y., Yankelevich, A., Yano, T., Yasutome, K., Yershov, N., Yevarouskaya, U., Yokoyama, M., Yoo, J., Yoshida, T., Yoshida, S., Yoshimoto, Y., Yoshimura, N., Yoshioka, Y., Yu, M., Yu, I., Zaki, R., Zaldivar, B., Zalewska, A., Zalipska, J., Zaremba, K., Zarnecki, G., Zhang, J., Zhang, A. Q., Zhang, B., Zhao, X. Y., Zhong, H., Zhu, T., Ziembicki, M., Zimmerman, E. D., Zito, M., and Zsoldos, S.
Subjects: High Energy Physics - Experiment
Abstract: The Super-Kamiokande and T2K collaborations present a joint measurement of neutrino oscillation parameters from their atmospheric and beam neutrino data. It uses a common interaction model for events overlapping in neutrino energy and correlated detector systematic uncertainties between the two datasets, which are found to be compatible. Using 3244.4 days of atmospheric data and a beam exposure of $19.7(16.3) \times 10^{20}$ protons on target in (anti)neutrino mode, the analysis finds a 1.9$\sigma$ exclusion of CP-conservation (defined as $J_{CP}=0$) and a preference for the normal mass ordering., Comment: 12 pages, 4 figures
Published: 2024

26. Leak Proof CMap; a framework for training and evaluation of cell line agnostic L1000 similarity methods

Author: Shave, Steven, Kasprowicz, Richard, Athar, Abdullah M., Vlachou, Denise, Carragher, Neil O., and Nguyen, Cuong Q.
Subjects: Quantitative Biology - Quantitative Methods, Computer Science - Machine Learning
Abstract: The Connectivity Map (CMap) is a large publicly available database of cellular transcriptomic responses to chemical and genetic perturbations built using a standardized acquisition protocol known as the L1000 technique. Databases such as CMap provide an exciting opportunity to enrich drug discovery efforts, providing a 'known' phenotypic landscape to explore and enabling the development of state of the art techniques for enhanced information extraction and better informed decisions. Whilst multiple methods for measuring phenotypic similarity and interrogating profiles have been developed, the field is severely lacking standardized benchmarks using appropriate data splitting for training and unbiased evaluation of machine learning methods. To address this, we have developed 'Leak Proof CMap' and exemplified its application to a set of common transcriptomic and generic phenotypic similarity methods along with an exemplar triplet loss-based method. Benchmarking in three critical performance areas (compactness, distinctness, and uniqueness) is conducted using carefully crafted data splits ensuring no similar cell lines or treatments with shared or closely matching responses or mechanisms of action are present in training, validation, or test sets. This enables testing of models with unseen samples akin to exploring treatments with novel modes of action in novel patient derived cell lines. With a carefully crafted benchmark and data splitting regime in place, the tooling now exists to create performant phenotypic similarity methods for use in personalized medicine (novel cell lines) and to better augment high throughput phenotypic screening technologies with the L1000 transcriptomic technology.
Published: 2024

27. Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans

Author: Al-Battal, Abdullah F., Duong, Soan T. M., Tang, Van Ha, Tran, Quang Duc, Truong, Steven Q. H., Phan, Chien, Nguyen, Truong Q., and An, Cheolhong
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract: Multi-phase computed tomography (CT) scans use contrast agents to highlight different anatomical structures within the body to improve the probability of identifying and detecting anatomical structures of interest and abnormalities such as liver lesions. Yet, detecting these lesions remains a challenging task as these lesions vary significantly in their size, shape, texture, and contrast with respect to surrounding tissue. Therefore, radiologists need to have an extensive experience to be able to identify and detect these lesions. Segmentation-based neural networks can assist radiologists with this task. Current state-of-the-art lesion segmentation networks use the encoder-decoder design paradigm based on the UNet architecture where the multi-phase CT scan volume is fed to the network as a multi-channel input. Although this approach utilizes information from all the phases and outperform single-phase segmentation networks, we demonstrate that their performance is not optimal and can be further improved by incorporating the learning from models trained on each single-phase individually. Our approach comprises three stages. The first stage identifies the regions within the liver where there might be lesions at three different scales (4, 8, and 16 mm). The second stage includes the main segmentation model trained using all the phases as well as a segmentation model trained on each of the phases individually. The third stage uses the multi-phase CT volumes together with the predictions from each of the segmentation models to generate the final segmentation map. Overall, our approach improves relative liver lesion segmentation performance by 1.6% while reducing performance variability across subjects by 8% when compared to the current state-of-the-art models.
Published: 2024

28. Advanced Structural Health Monitoring of Bridges Using Representative Power Spectral Density Analysis: A Case Study on the Giongong_To Bridge, Ho Chi Minh City, Vietnam

Author: Nguyen, Thanh Q., Nguyen, Thuy T., and Nguyen, Phuoc T.
Published: 2024
Full Text: View/download PDF

29. A quantitative systems pharmacology model of plasma kallikrein-kinin system dysregulation in hereditary angioedema

Author: Sexton, Dan, Nguyen, Hoa Q., Juethner, Salomé, Luo, Haobin, Zhang, Zhiwei, Jasper, Paul, and Zhu, Andy Z. X.
Published: 2024
Full Text: View/download PDF

30. Boosting the catalytic activity of nanostructured ZnFe2O4 spinels incorporating with Cu2+ for photo-Fenton degradation under visible light

Author: Nguyen, Loan T. T., Nguyen, Thom T., Nguyen, Lan T. H., Mai, Truong X., Bui, Nguyen D., Chu, Nhuong M., Nguyen, Hai Q., Nguyen, Ngoan Thi Thao, and Tran, Thuan Van
Published: 2024
Full Text: View/download PDF

31. Radicals of Rings with Quotient Divisible Additive Groups

Author: Kompantseva, Ekaterina, Nguyen, T. Q. Trang, and Gazaryan, Varvara
Published: 2024
Full Text: View/download PDF

32. Effect of in situ thermal treatment on ABS parts produced by fused deposition modeling (FDM)

Author: Nguyen, Khanh Q., Vuillaume, Pascal Y., Hu, Lei, Vachon, Andro, Diouf-Lewis, Audrey, Marcoux, Pier-Luc, Robert, Mathieu, and Elkoun, Saïd
Published: 2024
Full Text: View/download PDF

33. Deciphering the Etiologies of Adult Erythroderma: An Updated Guide to Presentations, Diagnostic Tools, Pathophysiologies, and Treatments

Author: Pang, Yanzhen, Nguyen, William Q., Guerrero, Liliana I., Chrisman, Lauren P., Hooper, Madeline J., McCarthy, Morgan C., Hales, Molly K., Lipman, Rachel E., Paller, Amy S., Guitart, Joan, and Zhou, Xiaolong A.
Published: 2024
Full Text: View/download PDF

34. Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models

Author: Truong, Sang T., Nguyen, Duc Q., Nguyen, Toan, Le, Dong D., Truong, Nhi N., Quan, Tho, and Koyejo, Sanmi
Subjects: Computer Science - Computation and Language, Computer Science - Artificial Intelligence, 68T50
Abstract: Recent advancements in large language models (LLMs) have underscored their importance in the evolution of artificial intelligence. However, despite extensive pretraining on multilingual datasets, available open-sourced LLMs exhibit limited effectiveness in processing Vietnamese. The challenge is exacerbated by the absence of systematic benchmark datasets and metrics tailored for Vietnamese LLM evaluation. To mitigate these issues, we have finetuned LLMs specifically for Vietnamese and developed a comprehensive evaluation framework encompassing 10 common tasks and 31 metrics. Our evaluation results reveal that the fine-tuned LLMs exhibit enhanced comprehension and generative capabilities in Vietnamese. Moreover, our analysis indicates that models with more parameters can introduce more biases and uncalibrated outputs and the key factor influencing LLM performance is the quality of the training or fine-tuning datasets. These insights underscore the significance of meticulous fine-tuning with high-quality datasets in enhancing LLM performance., Comment: 51 pages
Published: 2024

35. Practical challenges in mediation analysis: A guide for applied researchers

Author: Schuler, Megan S., Coffman, Donna L., Stuart, Elizabeth A., Nguyen, Trang Q., Vegetabile, Brian, and McCaffrey, Daniel F.
Subjects: Statistics - Applications, Statistics - Methodology
Abstract: Mediation analysis is a statistical approach that can provide insights regarding the intermediary processes by which an intervention or exposure affects a given outcome. Mediation analyses rose to prominence, particularly in social science research, with the publication of the seminal paper by Baron and Kenny and is now commonly applied in many research disciplines, including health services research. Despite the growth in popularity, applied researchers may still encounter challenges in terms of conducting mediation analyses in practice. In this paper, we provide an overview of conceptual and methodological challenges that researchers face when conducting mediation analyses. Specifically, we discuss the following key challenges: (1) Conceptually differentiating mediators from other third variables, (2) Extending beyond the single mediator context, (3) Identifying appropriate datasets in which measurement and temporal ordering supports the hypothesized mediation model, (4) Selecting mediation effects that reflect the scientific question of interest, (5) Assessing the validity of underlying assumptions of no omitted confounders, (6) Addressing measurement error regarding the mediator, and (7) Clearly reporting results from mediation analyses. We discuss each challenge and highlight ways in which the applied researcher can approach these challenges.
Published: 2024

36. 3D-FaIR: 3D facial imperfection regeneration with defects by fully convolutional mesh autoencoder

Author: Nguyen, Phuong D., Le, Thinh D., Nguyen, Duong Q., Nguyen, Thanh Q., Chou, Li-Wei, and Nguyen-Xuan, H.
Published: 2025
Full Text: View/download PDF

37. Differential cross section measurements for the production of top quark pairs and of additional jets using dilepton events from pp collisions at s = 13 TeV

Author: Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J., Schöfbeck, R., Schwarz, D., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Kello, T., Rejeb Sfar, H., Van Mechelen, P., Bols, E. S., D’Hondt, J., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Moortgat, S., Morton, A., Müller, D., Sahasransu, A. R., Tavernier, S., Van Doninck, W., Vannerom, D., Clerbaux, B., De Lentdecker, G., Favart, L., Jaramillo, J., Lee, K., Mahdavikhorrami, M., Makarenko, I., Malara, A., Paredes, S., Pétré, L., Postiau, N., Starling, E., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Niedziela, M., Rendón, C., Roskas, C., Samalan, A., Skovpen, K., Tytgat, M., Van Den Bossche, N., Vermassen, B., Wezenbeek, L., Benecke, A., Bruno, G., Bury, F., Caputo, C., David, P., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Mondal, K., Prisciandaro, J., Taliercio, A., Tran, T. T., Vischia, P., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., Moraes, A., Rebello Teles, P., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Dos Santos Sousa, V., Fonseca De Souza, S., Martins, J., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Torres Da Silva De Araujo, F., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Cheng, T., Javaid, T., Mittal, M., Yuan, L., Ahmad, M., Bauer, G., Hu, Z., Lezki, S., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Milosevic, V., Monti, F., Sharma, R., Tao, J., Thomas-Wilsker, J., Wang, J., Zhang, H., Zhao, J., Agapitos, A., An, Y., Ban, Y., Chen, C., Levin, A., Li, C., Li, Q., Lyu, X., Mao, Y., Qian, S. J., Sun, X., Wang, D., Xiao, J., Yang, H., Li, J., Lu, M., You, Z., Gao, X., Leggat, D., Okawa, H., Zhang, Y., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Mejia Guisao, J., Ramirez, F., Rodriguez, M., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Puljak, I., Antunovic, Z., Kovac, M., Sculac, T., Brigljevic, V., Chitroda, B. K., Ferencek, D., Majumder, D., Roguljic, M., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Kole, G., Kolosova, M., Konstantinou, S., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Finger, M., Finger, Jr., M., Kveton, A., Ayala, E., Carrera Jarrin, E., Elgammal, S., Ellithi Kamel, A., Lotfy, A., Mohammed, Y., Bhowmik, S., Dewanjee, R. K., Ehataht, K., Kadastik, M., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Eerola, P., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Brücken, E., Garcia, F., Havukainen, J., Kim, M. S., Kinnunen, R., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Lotti, M., Martikainen, L., Myllymäki, M., Ott, J., Rantanen, M. m., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Petrow, H., Tuuva, T., Amendola, C., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Jarry, P., Lohezic, V., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Baldenegro Barrera, C., Beaudette, F., Buchot Perraguin, A., Busson, P., Cappati, A., Charlot, C., Damas, F., Davignon, O., Diab, B., Falmagne, G., Fontana Santos Alves, B. A., Ghosh, S., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Motta, J., Nguyen, M., Ochando, C., Portales, L., Rembser, J., Salerno, R., Sarkar, U., Sauvan, J. B., Sirois, Y., Tarabini, A., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Bourgatte, G., Brom, J.-M., Chabert, E. C., Collard, C., Darej, D., Goerlach, U., Grimault, C., Le Bihan, A.-C., Van Hove, P., Beauceron, S., Bernet, C., Boudoul, G., Carle, A., Chanon, N., Choi, J., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Grenier, G., Ille, B., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Sordini, V., Torterotot, L., Vander Donckt, M., Verdier, P., Viret, S., Adamov, G., Lomidze, I., Tsamalaidze, Z., Botta, V., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Lee, M. y., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Mondal, S., Mukherjee, S., Noll, D., Novak, A., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Reithler, H., Schmidt, A., Schuler, S. C., Sharma, A., Vigilante, L., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Haj Ahmad, W., Hlushchenko, O., Kress, T., Nowack, A., Pooth, O., Stahl, A., Ziemons, T., Zotz, A., Aarup Petersen, H., Aldaya Martin, M., Amoroso, S., Andreev, I., Asmuss, P., Baxter, S., Bayatmakou, M., Behnke, O., Bermúdez Martínez, A., Bhattacharya, S., Bin Anuar, A. A., Blekman, F., Borras, K., Brunner, D., Campbell, A., Cardini, A., Cheng, C., Colombina, F., Consuegra Rodríguez, S., Correia Silva, G., De Silva, M., Didukh, L., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Giraldi, A., Greau, G., Grohsjean, A., Guglielmi, V., Guthoff, M., Jafari, A., Jomhari, N. Z., Kaech, B., Kasem, A., Kasemann, M., Kaveh, H., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Leyva Pernia, D., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Metwally, J., Meyer, A. B., Milella, G., Mormile, M., Mussgiller, A., Nürnberg, A., Otarid, Y., Pérez Adán, D., Raspereza, A., Ribeiro Lopes, B., Rübenach, J., Saggio, A., Saibel, A., Savitskyi, M., Scham, M., Scheurer, V., Schnake, S., Schütze, P., Schwanenberger, C., Shchedrolosiev, M., Sosa Ricardo, R. E., Stafford, D., Tonon, N., Van De Klundert, M., Vazzoler, F., Velyka, A., Ventura Barroso, A., Walsh, R., Walter, D., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Wuchterl, S., Yang, Y., Zimermmane Castro Santos, A., Aggleton, R., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bonanomi, M., Connor, P., De Leo, K., Eich, M., El Morabit, K., Feindt, F., Fröhlich, A., Garbers, C., Garutti, E., Hajheidari, M., Haller, J., Hinzmann, A., Jabusch, H. R., Kasieczka, G., Klanner, R., Korcari, W., Kramer, T., Kutzner, V., Lange, J., Lange, T., Lobanov, A., Matthies, C., Mehta, A., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Pena Rodriguez, K. J., Rieger, M., Rieger, O., Schleper, P., Schröder, M., Schwandt, J., Stadie, H., Steinbrück, G., Tews, A., Wolf, M., Bechtel, J., Brommer, S., Burkart, M., Butz, E., Caspart, R., Chwalek, T., Dierlamm, A., Droll, A., Faltermann, N., Giffels, M., Gosewisch, J. O., Gottmann, A., Hartmann, F., Horzela, M., Husemann, U., Keicher, P., Klute, M., Koppenhöfer, R., Maier, S., Mitra, S., Müller, Th., Neukum, M., Quast, G., Rabbertz, K., Rauser, J., Savoiu, D., Schnepf, M., Seith, D., Shvetsov, I., Simonis, H. J., Trevisani, N., Ulrich, R., van der Linden, J., Von Cube, R. F., Wassmer, M., Weber, M., Wieland, S., Wolf, R., Wozniewski, S., Wunsch, S., Anagnostou, G., Assiouras, P., Daskalakis, G., Kyriakis, A., Stakia, A., Diamantopoulou, M., Karasavvas, D., Kontaxakis, P., Manousakis-Katsikakis, A., Panagiotou, A., Papavergou, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Vourliotis, E., Zisopoulos, I., Bakas, G., Chatzistavrou, T., Kousouris, K., Papakrivopoulos, I., Tsipolitis, G., Zacharopoulou, A., Adamidis, K., Bestintzanos, I., Evangelou, I., Foudas, C., Gianneios, P., Kamtsikis, C., Katsoulis, P., Kokkas, P., Kosmoglou Kioseoglou, P. G., Manthos, N., Papadopoulos, I., Strologas, J., Bartók, M., Bencze, G., Hajdu, C., Horvath, D., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Gadallah, M. M. A., Lökös, S., Major, P., Mandal, K., Pásztor, G., Rádl, A. J., Surányi, O., Veres, G. I., Beni, N., Czellar, S., Fasanella, D., Karancsi, J., Molnar, J., Szillasi, Z., Teyssier, D., Raics, P., Ujvari, B., Csorgo, T., Nemes, F., Novak, T., Babbar, J., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Gupta, R., Kaur, A., Kaur, A., Kaur, H., Kaur, M., Kumar, S., Kumari, P., Meena, M., Sandeep, K., Sheokand, T., Singh, J. B., Singla, A., Virdi, A. K., Ahmed, A., Bhardwaj, A., Choudhary, B. C., Gola, M., Keshri, S., Kumar, A., Naimuddin, M., Priyanka, P., Ranjan, K., Saumya, S., Shah, A., Baradia, S., Barman, S., Bhattacharya, S., Bhowmik, D., Dutta, S., Dutta, S., Gomber, B., Maity, M., Palit, P., Rout, P. K., Saha, G., Sahu, B., Sarkar, S., Behera, P. K., Behera, S. C., Kalbhor, P., Komaragiri, J. R., Kumar, D., Muhammad, A., Panwar, L., Pradhan, R., Pujahari, P. R., Sharma, A., Sikdar, A. K., Tiwari, P. C., Verma, S., Naskar, K., Aziz, T., Das, I., Dugad, S., Kumar, M., Mohanty, G. B., Suryadevara, P., Banerjee, S., Chudasama, R., Guchait, M., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Mukherjee, S., Thachayath, A., Bahinipati, S., Das, A. K., Kar, C., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. K., Nayak, A., Saha, P., Sur, N., Swain, S. K., Vats, D., Alpana, A., Dube, S., Kansal, B., Laha, A., Pandey, S., Rastogi, A., Sharma, S., Bakhshiansohi, H., Khazaie, E., Zeinali, M., Chenarani, S., Etesami, S. M., Khakzad, M., Mohammadi Najafabadi, M., Grunewald, M., Abbrescia, M., Aly, R., Aruta, C., Colaleo, A., Creanza, D., De Filippis, N., De Palma, M., Di Florio, A., Elmetenawee, W., Errico, F., Fiore, L., Iaselli, G., Ince, M., Maggi, G., Maggi, M., Margjeka, I., Mastrapasqua, V., My, S., Nuzzo, S., Pellecchia, A., Pompili, A., Pugliese, G., Radogna, R., Ramos, D., Ranieri, A., Selvaggi, G., Silvestris, L., Simone, F. M., Sözbilir, Ü., Stamerra, A., Venditti, R., Verwilligen, P., Zaza, A., Abbiendi, G., Battilana, C., Bonacorsi, D., Borgonovi, L., Brigliadori, L., Campanini, R., Capiluppi, P., Castro, A., Cavallo, F. R., Cuffiani, M., Dallavalle, G. M., Diotalevi, T., Fabbri, F., Fanfani, A., Giacomelli, P., Giommi, L., Grandi, C., Guiducci, L., Lo Meo, S., Lunerti, L., Marcellini, S., Masetti, G., Navarria, F. L., Perrotta, A., Primavera, F., Rossi, A. M., Rovelli, T., Siroli, G. P., Costa, S., Di Mattia, A., Potenza, R., Tricomi, A., Tuve, C., Barbagli, G., Camaiani, B., Cassese, A., Ceccarelli, R., Ciulli, V., Civinini, C., D’Alessandro, R., Focardi, E., Latino, G., Lenzi, P., Lizzo, M., Meschini, M., Paoletti, S., Seidita, R., Sguazzoni, G., Viliani, L., Benussi, L., Bianco, S., Meola, S., Piccolo, D., Bozzo, M., Ferro, F., Mulargia, R., Robutti, E., Tosi, S., Benaglia, A., Boldrini, G., Brivio, F., Cetorelli, F., De Guio, F., Dinardo, M. E., Dini, P., Gennai, S., Ghezzi, A., Govoni, P., Guzzi, L., Lucchini, M. T., Malberti, M., Malvezzi, S., Massironi, A., Menasce, D., Moroni, L., Paganoni, M., Pedrini, D., Pinolini, B. S., Ragazzi, S., Redaelli, N., Tabarelli de Fatis, T., Zuolo, D., Buontempo, S., Carnevali, F., Cavallo, N., De Iorio, A., Fabozzi, F., Iorio, A. O. M., Lista, L., Paolucci, P., Rossi, B., Sciacca, C., Azzi, P., Bellato, M., Benettoni, M., Bergnoli, A., Bortignon, P., Bragagnolo, A., Checchia, P., Dorigo, T., Gasparini, F., Gasparini, U., Grosso, G., Layer, L., Lusiani, E., Margoni, M., Meneguzzo, A. T., Pazzini, J., Ronchese, P., Rossin, R., Simonetto, F., Strong, G., Tosi, M., Yarar, H., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Montagna, P., Re, V., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Asenov, P., Bilei, G. M., Ciangottini, D., Fanò, L., Magherini, M., Mantovani, G., Mariani, V., Menichelli, M., Moscatelli, F., Piccinelli, A., Presilla, M., Rossi, A., Santocchia, A., Spiga, D., Tedeschi, T., Azzurri, P., Bagliesi, G., Bertacchi, V., Bhattacharya, R., Bianchini, L., Boccali, T., Bossini, E., Bruschini, D., Castaldi, R., Ciocci, M. A., D’Amante, V., Dell’Orso, R., Di Domenico, M. R., Donato, S., Giassi, A., Ligabue, F., Manca, E., Mandorli, G., Matos Figueiredo, D., Messineo, A., Musich, M., Palla, F., Parolia, S., Ramirez-Sanchez, G., Rizzi, A., Rolandi, G., Roy Chowdhury, S., Sarkar, T., Scribano, A., Shafiei, N., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Venturi, A., Verdini, P. G., Barria, P., Campana, M., Cavallari, F., Del Re, D., Di Marco, E., Diemoz, M., Longo, E., Meridiani, P., Organtini, G., Pandolfi, F., Paramatti, R., Quaranta, C., Rahatlou, S., Rovelli, C., Santanastasio, F., Soffi, L., Tramontano, R., Amapane, N., Arcidiacono, R., Argiro, S., Arneodo, M., Bartosik, N., Bellan, R., Bellora, A., Berenguer Antequera, J., Biino, C., Cartiglia, N., Costa, M., Covarelli, R., Demaria, N., Grippo, M., Kiani, B., Legger, F., Mariotti, C., Maselli, S., Mecca, A., Migliore, E., Monteil, E., Monteno, M., Obertino, M. M., Ortona, G., Pacher, L., Pastrone, N., Pelliccioni, M., Ruspa, M., Shchelina, K., Siviero, F., Sola, V., Solano, A., Soldi, D., Staiano, A., Tornago, M., Trocino, D., Umoret, G., Vagnerini, A., Belforte, S., Candelise, V., Casarsa, M., Cossutti, F., Da Rold, A., Della Ricca, G., Sorrentino, G., Dogra, S., Huh, C., Kim, B., Kim, D. H., Kim, G. N., Kim, J., Lee, J., Lee, S. W., Moon, C. S., Oh, Y. D., Pak, S. I., Sekmen, S., Yang, Y. C., Kim, H., Moon, D. H., Asilar, E., Kim, T. J., Park, J., Cho, S., Choi, S., Han, S., Hong, B., Lee, K., Lee, K. S., Lim, J., Park, J., Park, S. K., Yoo, J., Goh, J., Kim, H. S., Kim, Y., Lee, S., Almond, J., Bhyun, J. H., Choi, J., Jeon, S., Jun, W., Kim, J., Kim, J., Kim, J. S., Ko, S., Kwon, H., Lee, H., Lee, J., Lee, S., Oh, B. H., Oh, M., Oh, S. B., Seo, H., Yang, U. K., Yoon, I., Jang, W., Kang, D. Y., Kang, Y., Kim, D., Kim, S., Ko, B., Lee, J. S. H., Lee, Y., Merlin, J. A., Park, I. C., Roh, Y., Ryu, M. S., Song, D., Watson, I. J., Yang, S., Ha, S., Yoo, H. D., Choi, M., Lee, H., Lee, Y., Lee, Y., Yu, I., Beyrouthy, T., Maghrbi, Y., Dreimanis, K., Gaile, A., Potrebko, A., Torims, T., Veckalns, V., Ambrozas, M., Carvalho Antunes De Oliveira, A., Juodagalvis, A., Rinkevicius, A., Tamulaitis, G., Bin Norjoharuddeen, N., Hoh, S. Y., Yusuff, I., Zolkapli, Z., Benitez, J. F., Castaneda Hernandez, A., Encinas Acosta, H. A., Gallegos Maríñez, L. G., León Coello, M., Murillo Quijada, J. A., Sehrawat, A., Valencia Palomo, L., Ayala, G., Castilla-Valdez, H., Heredia-De La Cruz, I., Lopez-Fernandez, R., Mondragon Herrera, C. A., Perez Navarro, D. A., Sánchez Hernández, A., Oropeza Barrera, C., Vazquez Valencia, F., Pedraza, I., Salazar Ibarguen, H. A., Uribe Estrada, C., Bubanja, I., Mijuskovic, J., Raicevic, N., Ahmad, A., Asghar, M. I., Awais, A., Awan, M. I. M., Gul, M., Hoorani, H. R., Khan, W. A., Shoaib, M., Waqas, M., Avati, V., Grzanka, L., Malawski, M., Bialkowska, H., Bluj, M., Boimska, B., Górski, M., Kazana, M., Szleper, M., Zalewski, P., Bunkowski, K., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski, J., Araujo, M., Bargassa, P., Bastos, D., Boletti, A., Faccioli, P., Gallinaro, M., Hollar, J., Leonardo, N., Niknejad, T., Pisano, M., Seixas, J., Toldaiev, O., Varela, J., Adzic, P., Dordevic, M., Milenovic, P., Milosevic, J., Rekovic, V., Aguilar-Benitez, M., Alcaraz Maestre, J., Álvarez Fernández, A., Barrio Luna, M., Bedoya, Cristina F., Carrillo Montoya, C. A., Cepeda, M., Cerrada, M., Colino, N., De La Cruz, B., Delgado Peris, A., Fernández Del Val, D., Fernández Ramos, J. P., Flix, J., Fouz, M. C., Gonzalez Lopez, O., Goy Lopez, S., Hernandez, J. M., Josa, M. I., León Holgado, J., Moran, D., Perez Dengra, C., Pérez-Calero Yzquierdo, A., Puerta Pelayo, J., Redondo, I., Redondo Ferrero, D. D., Romero, L., Sánchez Navas, S., Sastre, J., Urda Gómez, L., Vazquez Escobar, J., Willmott, C., de Trocóniz, J. F., Alvarez Gonzalez, B., Cuevas, J., Fernandez Menendez, J., Folgueras, S., Gonzalez Caballero, I., González Fernández, J. R., Palencia Cortezon, E., Ramón Álvarez, C., Rodríguez Bouza, V., Soto Rodríguez, A., Trapote, A., Vico Villalba, C., Brochero Cifuentes, J. A., Cabrillo, I. J., Calderon, A., Duarte Campderros, J., Fernandez, M., Fernandez Madrazo, C., García Alonso, A., Gomez, G., Lasaosa García, C., Martinez Rivero, C., Martinez Ruiz del Arbol, P., Matorras, F., Matorras Cuevas, P., Piedra Gomez, J., Prieels, C., Ruiz-Jimeno, A., Scodellaro, L., Vila, I., Vizan Garcia, J. M., Jayananda, M. K., Kailasapathy, B., Sonnadara, D. U. J., Wickramarathna, D. D. C., Dharmaratna, W. G. D., Liyanage, K., Perera, N., Wickramage, N., Abbaneo, D., Alimena, J., Auffray, E., Auzinger, G., Baechler, J., Baillon, P., Barney, D., Bendavid, J., Bianco, M., Bilin, B., Bocci, A., Brondolin, E., Caillol, C., Camporesi, T., Cerminara, G., Chernyavskaya, N., Chhibra, S. S., Choudhury, S., Cipriani, M., Cristella, L., d’Enterria, D., Dabrowski, A., David, A., De Roeck, A., Defranchis, M. M., Deile, M., Dobson, M., Dünser, M., Dupont, N., Elliott-Peisert, A., Fallavollita, F., Florent, A., Forthomme, L., Franzoni, G., Funk, W., Ghosh, S., Giani, S., Gigi, D., Gill, K., Glege, F., Gouskos, L., Govorkova, E., Haranko, M., Hegeman, J., Innocente, V., James, T., Janot, P., Kaspar, J., Kieseler, J., Kratochwil, N., Laurila, S., Lecoq, P., Leutgeb, E., Lintuluoto, A., Lourenço, C., Maier, B., Malgeri, L., Mannelli, M., Marini, A. C., Meijers, F., Mersi, S., Meschi, E., Moortgat, F., Mulders, M., Orfanelli, S., Orsini, L., Pantaleo, F., Perez, E., Peruzzi, M., Petrilli, A., Petrucciani, G., Pfeiffer, A., Pierini, M., Piparo, D., Pitt, M., Qu, H., Quast, T., Rabady, D., Racz, A., Reales Gutiérrez, G., Rovere, M., Sakulin, H., Salfeld-Nebgen, J., Scarfi, S., Selvaggi, M., Sharma, A., Silva, P., Sphicas, P., Stahl Leiton, A. G., Summers, S., Tatar, K., Tavolaro, V. R., Treille, D., Tropea, P., Tsirou, A., Wanczyk, J., Wozniak, K. A., Zeuner, W. D., Caminada, L., Ebrahimi, A., Erdmann, W., Horisberger, R., Ingram, Q., Kaestli, H. C., Kotlinski, D., Lange, C., Missiroli, M., Noehte, L., Rohe, T., Aarrestad, T. K., Androsov, K., Backhaus, M., Berger, P., Calandri, A., Datta, K., De Cosa, A., Dissertori, G., Dittmar, M., Donegà, M., Eble, F., Galli, M., Gedia, K., Glessgen, F., Gómez Espinosa, T. A., Grab, C., Hits, D., Lustermann, W., Lyon, A.-M., Manzoni, R. A., Marchese, L., Martin Perez, C., Mascellani, A., Meinhard, M. T., Nessi-Tedaldi, F., Niedziela, J., Pauss, F., Perovic, V., Pigazzini, S., Ratti, M. G., Reichmann, M., Reissel, C., Reitenspiess, T., Ristic, B., Riti, F., Ruini, D., Sanz Becerra, D. A., Steggemann, J., Valsecchi, D., Wallny, R., Amsler, C., Bärtschi, P., Botta, C., Brzhechko, D., Canelli, M. F., Cormier, K., De Wit, A., Del Burgo, R., Heikkilä, J. K., Huwiler, M., Jin, W., Jofrehei, A., Kilminster, B., Leontsinis, S., Liechti, S. P., Macchiolo, A., Meiring, P., Mikuni, V. M., Molinatti, U., Neutelings, I., Reimers, A., Robmann, P., Sanchez Cruz, S., Schweiger, K., Senger, M., Takahashi, Y., Adloff, C., Kuo, C. M., Lin, W., Yu, S. S., Ceard, L., Chao, Y., Chen, K. F., Chen, P. s., Cheng, H., Hou, W.-S., Li, Y. y., Lu, R.-S., Paganis, E., Psallidas, A., Steen, A., Wu, H. y., Yazgan, E., Yu, P. r., Asawatangtrakuldee, C., Srimanobhas, N., Agyel, D., Boran, F., Demiroglu, Z. S., Dolek, F., Dumanoglu, I., Eskut, E., Guler, Y., Gurpinar Guler, E., Isik, C., Kara, O., Kayis Topaksu, A., Kiminsu, U., Onengut, G., Ozdemir, K., Polatoz, A., Simsek, A. E., Tali, B., Tok, U. G., Turkcapar, S., Uslan, E., Zorbakir, I. S., Karapinar, G., Ocalan, K., Yalvac, M., Akgun, B., Atakisi, I. O., Gülmez, E., Kaya, M., Kaya, O., Özçelik, Ö., Tekten, S., Cakir, A., Cankocak, K., Komurcu, Y., Sen, S., Aydilek, O., Cerci, S., Hacisahinoglu, B., Hos, I., Isildak, B., Kaynak, B., Ozkorucuklu, S., Simsek, C., Sunar Cerci, D., Grynyov, B., Levchuk, L., Anthony, D., Bhal, E., Brooke, J. J., Bundock, A., Clement, E., Cussans, D., Flacher, H., Glowacki, M., Goldstein, J., Heath, G. P., Heath, H. F., Kreczko, L., Krikler, B., Paramesvaran, S., Seif El Nasr-Storey, S., Smith, V. J., Stylianou, N., Walkingshaw Pass, K., White, R., Ball, A. H., Bell, K. W., Belyaev, A., Brew, C., Brown, R. M., Cockerill, D. J. A., Cooke, C., Ellis, K. V., Harder, K., Harper, S., Holmberg, M.-L., Linacre, J., Manolopoulos, K., Newbold, D. M., Olaiya, E., Petyt, D., Reis, T., Salvi, G., Schuh, T., Shepherd-Themistocleous, C. H., Tomalin, I. R., Williams, T., Bainbridge, R., Bloch, P., Bonomally, S., Borg, J., Breeze, S., Brown, C. E., Buchmuller, O., Cacchio, V., Cepaitis, V., Chahal, G. S., Colling, D., Dancu, J. S., Dauncey, P., Davies, G., Davies, J., Della Negra, M., Fayer, S., Fedi, G., Hall, G., Hassanshahi, M. H., Howard, A., Iles, G., Langford, J., Lyons, L., Magnan, A.-M., Malik, S., Martelli, A., Mieskolainen, M., Monk, D. G., Nash, J., Pesaresi, M., Radburn-Smith, B. C., Raymond, D. M., Richards, A., Rose, A., Scott, E., Seez, C., Shtipliyski, A., Shukla, R., Tapper, A., Uchida, K., Uttley, G. P., Vage, L. H., Virdee, T., Vojinovic, M., Wardle, N., Webb, S. N., Winterbottom, D., Coldham, K., Cole, J. E., Khan, A., Kyberd, P., Reid, I. D., Abdullin, S., Brinkerhoff, A., Caraway, B., Dittmann, J., Hatakeyama, K., Kanuganti, A. R., McMaster, B., Saunders, M., Sawant, S., Sutantawibul, C., Wilson, J., Bartek, R., Dominguez, A., Uniyal, R., Vargas Hernandez, A. M., Buccilli, A., Cooper, S. I., Di Croce, D., Gleyzer, S. V., Henderson, C., Perez, C. U., Rumerio, P., West, C., Akpinar, A., Albert, A., Arcaro, D., Cosby, C., Demiragli, Z., Erice, C., Fontanesi, E., Gastler, D., May, S., Rohlf, J., Salyer, K., Sperka, D., Spitzbart, D., Suarez, I., Tsatsos, A., Yuan, S., Benelli, G., Burkle, B., Coubez, X., Cutts, D., Hadley, M., Heintz, U., Hogan, J. M., Kwon, T., Landsberg, G., Lau, K. T., Li, D., Luo, J., Narain, M., Pervan, N., Sagir, S., Simpson, F., Usai, E., Wong, W. Y., Yan, X., Yu, D., Zhang, W., Bonilla, J., Brainerd, C., Breedon, R., Calderon De La Barca Sanchez, M., Chertok, M., Conway, J., Cox, P. T., Erbacher, R., Haza, G., Jensen, F., Kukral, O., Mocellin, G., Mulhearn, M., Pellett, D., Regnery, B., Taylor, D., Yao, Y., Zhang, F., Bachtis, M., Cousins, R., Datta, A., Hamilton, D., Hauser, J., Ignatenko, M., Iqbal, M. A., Lam, T., Nash, W. A., Regnard, S., Saltzberg, D., Stone, B., Valuev, V., Chen, Y., Clare, R., Gary, J. W., Gordon, M., Hanson, G., Karapostoli, G., Long, O. R., Manganelli, N., Si, W., Wimpenny, S., Branson, J. G., Chang, P., Cittolin, S., Cooperstein, S., Diaz, D., Duarte, J., Gerosa, R., Giannini, L., Guiang, J., Kansal, R., Krutelyov, V., Lee, R., Letts, J., Masciovecchio, M., Mokhtar, F., Pieri, M., Sathia Narayanan, B. V., Sharma, V., Tadel, M., Würthwein, F., Xiang, Y., Yagil, A., Amin, N., Campagnari, C., Citron, M., Collura, G., Dorsett, A., Dutta, V., Incandela, J., Kilpatrick, M., Kim, J., Li, A. J., Marsh, B., Masterson, P., Mei, H., Oshiro, M., Quinnan, M., Richman, J., Sarica, U., Schmitz, R., Setti, F., Sheplock, J., Siddireddy, P., Stuart, D., Wang, S., Bornheim, A., Cerri, O., Dutta, I., Lawhorn, J. M., Lu, N., Mao, J., Newman, H. B., Nguyen, T. Q., Spiropulu, M., Vlimant, J. R., Wang, C., Xie, S., Zhu, R. Y., Alison, J., An, S., Andrews, M. B., Bryant, P., Ferguson, T., Harilal, A., Liu, C., Mudholkar, T., Murthy, S., Paulini, M., Roberts, A., Sanchez, A., Terrill, W., Cumalat, J. P., Ford, W. T., Hassani, A., Karathanasis, G., MacDonald, E., Marini, F., Patel, R., Perloff, A., Savard, C., Schonbeck, N., Stenson, K., Ulmer, K. A., Wagner, S. R., Zipper, N., Alexander, J., Bright-Thonney, S., Chen, X., Cranshaw, D. J., Fan, J., Fan, X., Gadkari, D., Hogan, S., Monroy, J., Patterson, J. R., Quach, D., Reichert, J., Reid, M., Ryd, A., Thom, J., Wittich, P., Zou, R., Albrow, M., Alyari, M., Apollinari, G., Apresyan, A., Bauerdick, L. A. T., Berry, D., Berryhill, J., Bhat, P. C., Burkett, K., Butler, J. N., Canepa, A., Cerati, G. B., Cheung, H. W. K., Chlebana, F., Di Petrillo, K. F., Dickinson, J., Elvira, V. D., Feng, Y., Freeman, J., Gandrakota, A., Gecse, Z., Gray, L., Green, D., Grünendahl, S., Gutsche, O., Harris, R. M., Heller, R., Herwig, T. C., Hirschauer, J., Horyn, L., Jayatilaka, B., Jindariani, S., Johnson, M., Joshi, U., Klijnsma, T., Klima, B., Kwok, K. H. M., Lammel, S., Lincoln, D., Lipton, R., Liu, T., Madrid, C., Maeshima, K., Mantilla, C., Mason, D., McBride, P., Merkel, P., Mrenna, S., Nahn, S., Ngadiuba, J., Papadimitriou, V., Pastika, N., Pedro, K., Pena, C., Ravera, F., Reinsvold Hall, A., Ristori, L., Sexton-Kennedy, E., Smith, N., Soha, A., Spiegel, L., Strait, J., Taylor, L., Tkaczyk, S., Tran, N. V., Uplegger, L., Vaandering, E. W., Weber, H. A., Zoi, I., Avery, P., Bourilkov, D., Cadamuro, L., Cherepanov, V., Field, R. D., Guerrero, D., Kim, M., Koenig, E., Konigsberg, J., Korytov, A., Lo, K. H., Matchev, K., Menendez, N., Mitselmakher, G., Muthirakalayil Madhu, A., Rawal, N., Rosenzweig, D., Rosenzweig, S., Shi, K., Wang, J., Wu, Z., Adams, T., Askew, A., Habibullah, R., Hagopian, V., Khurana, R., Kolberg, T., Martinez, G., Prosper, H., Schiber, C., Viazlo, O., Yohay, R., Zhang, J., Baarmand, M. M., Butalla, S., Elkafrawy, T., Hohlmann, M., Kumar Verma, R., Noonan, D., Rahmani, M., Yumiceva, F., Adams, M. R., Becerril Gonzalez, H., Cavanaugh, R., Dittmer, S., Evdokimov, O., Gerber, C. E., Hofman, D. J., Lemos, D. S., Merrit, A. H., Mills, C., Oh, G., Roy, T., Rudrabhatla, S., Tonjes, M. B., Varelas, N., Wang, X., Ye, Z., Yoo, J., Alhusseini, M., Dilsiz, K., Emediato, L., Gandrajula, R. P., Karaman, G., Köseyan, O. K., Merlo, J.-P., Mestvirishvili, A., Nachtman, J., Neogi, O., Ogul, H., Onel, Y., Penzo, A., Snyder, C., Tiras, E., Amram, O., Blumenfeld, B., Corcodilos, L., Davis, J., Gritsan, A. V., Kang, L., Kyriacou, S., Maksimovic, P., Roskes, J., Sekhar, S., Swartz, M., Vámi, T. Á., Abreu, A., Alcerro Alcerro, L. F., Anguiano, J., Baringer, P., Bean, A., Flowers, Z., Isidori, T., Khalil, S., King, J., Krintiras, G., Lazarovits, M., Le Mahieu, C., Lindsey, C., Marquez, J., Minafra, N., Murray, M., Nickel, M., Rogan, C., Royon, C., Salvatico, R., Sanders, S., Schmitz, E., Smith, C., Wang, Q., Williams, J., Wilson, G., Allmond, B., Duric, S., Gujju Gurunadha, R., Ivanov, A., Kaadze, K., Kim, D., Maravin, Y., Mitchell, T., Modak, A., Nam, K., Natoli, J., Roy, D., Rebassoo, F., Wright, D., Adams, E., Baden, A., Baron, O., Belloni, A., Bethani, A., Eno, S. C., Hadley, N. J., Jabeen, S., Kellogg, R. G., Koeth, T., Lai, Y., Lascio, S., Mignerey, A. C., Nabili, S., Palmer, C., Papageorgakis, C., Seidel, M., Wang, L., Wong, K., Abercrombie, D., Bi, R., Busza, W., Cali, I. A., Chen, Y., D’Alfonso, M., Eysermans, J., Freer, C., Gomez-Ceballos, G., Goncharov, M., Harris, P., Hu, M., Kovalskyi, D., Krupa, J., Lee, Y.-J., Long, K., Mironov, C., Paus, C., Rankin, D., Roland, C., Roland, G., Shi, Z., Stephans, G. S. F., Wang, J., Wang, Z., Wyslouch, B., Chatterjee, R. M., Crossman, B., Evans, A., Hiltbrand, J., Jain, Sh., Joshi, B. M., Kapsiak, C., Krohn, M., Kubota, Y., Mahon, D., Mans, J., Revering, M., Rusack, R., Saradhy, R., Schroeder, N., Strobbe, N., Wadud, M. A., Cremaldi, L. M., Bloom, K., Bryson, M., Claes, D. R., Fangmeier, C., Finco, L., Golf, F., Joo, C., Kravchenko, I., Reed, I., Siado, J. E., Snow, G. R., Tabb, W., Wightman, A., Yan, F., Zecchinelli, A. G., Agarwal, G., Bandyopadhyay, H., Hay, L., Iashvili, I., Kharchilava, A., McLean, C., Morris, M., Nguyen, D., Pekkanen, J., Rappoccio, S., Williams, A., Alverson, G., Barberis, E., Haddad, Y., Han, Y., Krishna, A., Li, J., Lidrych, J., Madigan, G., Marzocchi, B., Morse, D. M., Nguyen, V., Orimoto, T., Parker, A., Skinnari, L., Tishelman-Charny, A., Wamorkar, T., Wang, B., Wisecarver, A., Wood, D., Bhattacharya, S., Bueghly, J., Chen, Z., Gilbert, A., Gunter, T., Hahn, K. A., Liu, Y., Odell, N., Schmitt, M. H., Velasco, M., Band, R., Bucci, R., Castells, S., Cremonesi, M., Das, A., Goldouzian, R., Hildreth, M., Hurtado Anampa, K., Jessop, C., Lannon, K., Lawrence, J., Loukas, N., Lutton, L., Mariano, J., Marinelli, N., Mcalister, I., McCauley, T., Mcgrady, C., Mohrman, K., Moore, C., Musienko, Y., Nelson, H., Ruchti, R., Townsend, A., Wayne, M., Yockey, H., Zarucki, M., Zygala, L., Bylsma, B., Carrigan, M., Durkin, L. S., Francis, B., Hill, C., Lesauvage, A., Nunez Ornelas, M., Wei, K., Winer, B. L., Yates, B. R., Addesa, F. M., Bonham, B., Das, P., Dezoort, G., Elmer, P., Frankenthal, A., Greenberg, B., Haubrich, N., Higginbotham, S., Kalogeropoulos, A., Kopp, G., Kwan, S., Lange, D., Marlow, D., Mei, K., Ojalvo, I., Olsen, J., Stickland, D., Tully, C., Malik, S., Norberg, S., Bakshi, A. S., Barnes, V. E., Chawla, R., Das, S., Gutay, L., Jones, M., Jung, A. W., Kondratyev, D., Koshy, A. M., Liu, M., Negro, G., Neumeister, N., Paspalaki, G., Piperov, S., Purohit, A., Schulte, J. F., Stojanovic, M., Thieman, J., Wang, F., Xiao, R., Xie, W., Dolen, J., Parashar, N., Acosta, D., Baty, A., Carnahan, T., Decaro, M., Dildick, S., Ecklund, K. M., Fernández Manteca, P. J., Freed, S., Gardner, P., Geurts, F. J. M., Kumar, A., Li, W., Padley, B. P., Redjimi, R., Rotter, J., Shi, W., Yang, S., Yigitbasi, E., Zhang, L., Zhang, Y., Zuo, X., Bodek, A., de Barbaro, P., Demina, R., Dulemba, J. L., Fallon, C., Ferbel, T., Galanti, M., Garcia-Bellido, A., Hindrichs, O., Khukhunaishvili, A., Ranken, E., Taus, R., Van Onsem, G. P., Goulianos, K., Chiarito, B., Chou, J. P., Gershtein, Y., Halkiadakis, E., Hart, A., Heindl, M., Karacheban, O., Laflotte, I., Lath, A., Montalvo, R., Nash, K., Osherson, M., Salur, S., Schnetzer, S., Somalwar, S., Stone, R., Thayil, S. A., Thomas, S., Wang, H., Acharya, H., Delannoy, A. G., Fiorendi, S., Holmes, T., Nibigira, E., Spanier, S., Bouhali, O., Dalchenko, M., Delgado, A., Eusebi, R., Gilmore, J., Huang, T., Kamon, T., Kim, H., Luo, S., Malhotra, S., Mueller, R., Overton, D., Rathjens, D., Safonov, A., Akchurin, N., Damgov, J., Hegde, V., Lamichhane, K., Lee, S. W., Mengke, T., Muthumuni, S., Peltola, T., Volobouev, I., Wang, Z., Whitbeck, A., Appelt, E., Greene, S., Gurrola, A., Johns, W., Melo, A., Romeo, F., Sheldon, P., Tuo, S., Velkovska, J., Viinikainen, J., Cardwell, B., Cox, B., Cummings, G., Hakala, J., Hirosky, R., Joyce, M., Ledovskoy, A., Li, A., Neu, C., Perez Lara, C. E., Tannenwald, B., Karchin, P. E., Poudyal, N., Banerjee, S., Black, K., Bose, T., Dasu, S., De Bruyn, I., Everaerts, P., Galloni, C., He, H., Herndon, M., Herve, A., Koraka, C. K., Lanaro, A., Loeliger, A., Loveless, R., Madhusudanan Sreekala, J., Mallampalli, A., Mohammadi, A., Mondal, S., Parida, G., Pinna, D., Savin, A., Shang, V., Sharma, V., Smith, W. H., Teague, D., Tsoi, H. F., Vetens, W., Blinov, V., Dimova, T., Kardapoltsev, L., Kozyrev, A., Ovtin, I., Radchenko, O., Skovpen, Y., Babaev, A., Okhotnikov, V., Afanasiev, S., Budkouski, D., Golutvin, I., Gorbunov, I., Karjavine, V., Korenkov, V., Lanev, A., Malakhov, A., Matveev, V., Palichik, V., Perelygin, V., Savina, M., Shalaev, V., Shmatov, S., Shulha, S., Smirnov, V., Teryaev, O., Voytishin, N., Yuldashev, B. S., Zarubin, A., Zhizhin, I., Gavrilov, G., Golovtcov, V., Ivanov, Y., Kim, V., Kuznetsova, E., Levchenko, P., Murzin, V., Sosnov, D., Sulimov, V., Uvarov, L., Vorobyev, A., Andreev, Yu., Dermenev, A., Gninenko, S., Golubev, N., Karneyeu, A., Kirpichnikov, D., Kirsanov, M., Krasnikov, N., Pivovarov, G., Tlisova, I., Toropin, A., Aushev, T., Epshteyn, V., Gavrilov, V., Lychkovskaya, N., Nikitenko, A., Popov, V., Stepennov, A., Toms, M., Vlasov, E., Zhokin, A., Chistov, R., Danilov, M., Oskin, A., Parygin, P., Polikarpov, S., Selivanova, D., Andreev, V., Azarkin, M., Dremin, I., Kirakosyan, M., Terkulov, A., Belyaev, A., Boos, E., Bunichev, V., Dubinin, M., Dudko, L., Ershov, A., Klyukhin, V., Obraztsov, S., Perfilov, M., Petrushanko, S., Savrin, V., Volkov, P., Kachanov, V., Konstantinov, D., Slabospitskii, S., Uzunian, A., Borshch, V., Ivanchenko, V., Tcherniaev, E., Chekhovsky, V., Litomin, A., and Makarenko, V.
Published: 2025
Full Text: View/download PDF

38. Search for resonant pair production of Higgs bosons in the bb¯bb¯s final state using large-area jets in proton-proton collisions at bb¯bb¯s = 13 TeV

Author: Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Frühwirth, R., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J., Schöfbeck, R., Schwarz, D., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., De Wolf, E. A., Janssen, T., Kello, T., Lelek, A., Rejeb Sfar, H., Van Mechelen, P., Van Putte, S., Van Remortel, N., Bols, E. S., D’Hondt, J., Delcourt, M., El Faham, H., Lowette, S., Moortgat, S., Morton, A., Müller, D., Sahasransu, A. R., Tavernier, S., Van Doninck, W., Vannerom, D., Beghin, D., Bilin, B., Clerbaux, B., De Lentdecker, G., Favart, L., Kalsi, A. K., Lee, K., Mahdavikhorrami, M., Makarenko, I., Moureaux, L., Paredes, S., Pétré, L., Popov, A., Postiau, N., Starling, E., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., Cornelis, T., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Niedziela, M., Rendón, C., Roskas, C., Samalan, A., Skovpen, K., Tytgat, M., Vermassen, B., Wezenbeek, L., Benecke, A., Bethani, A., Bruno, G., Bury, F., Caputo, C., David, P., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Mondal, K., Prisciandaro, J., Taliercio, A., Teklishyn, M., Tran, T. T., Vischia, P., Wertz, S., Alves, G. A., Hensel, C., Moraes, A., Rebello Teles, P., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Dos Santos Sousa, V., Fonseca De Souza, S., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Torres Da Silva De Araujo, F., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Lemos, D. S., Mercadante, P. G., Novaes, S. F., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Cheng, T., Javaid, T., Mittal, M., Yuan, L., Ahmad, M., Bauer, G., Dozen, C., Hu, Z., Martins, J., Wang, Y., Yi, K., Chapon, E., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Kapoor, A., Leggat, D., Liao, H., Liu, Z.-A., Milosevic, V., Monti, F., Sharma, R., Tao, J., Thomas-Wilsker, J., Wang, J., Zhang, H., Zhao, J., Agapitos, A., An, Y., Ban, Y., Chen, C., Levin, A., Li, Q., Lyu, X., Mao, Y., Qian, S. J., Wang, D., Xiao, J., Yang, H., Lu, M., You, Z., Gao, X., Okawa, H., Zhang, Y., Lin, Z., Xiao, M., Avila, C., Cabrera, A., Florez, C., Fraga, J., Mejia Guisao, J., Ramirez, F., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Puljak, I., Antunovic, Z., Kovac, M., Sculac, T., Brigljevic, V., Ferencek, D., Majumder, D., Roguljic, M., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Ioannou, A., Kole, G., Kolosova, M., Konstantinou, S., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Finger, M., Finger, Jr., M., Kveton, A., Ayala, E., Carrera Jarrin, E., Abdelalim, A. A., Salama, E., Lotfy, A., Mahmoud, M. A., Bhowmik, S., Dewanjee, R. K., Ehataht, K., Kadastik, M., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Eerola, P., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Brücken, E., Garcia, F., Havukainen, J., Kim, M. S., Kinnunen, R., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Lotti, M., Martikainen, L., Myllymäki, M., Ott, J., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Petrow, H., Tuuva, T., Amendola, C., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Jarry, P., Lenzi, B., Locci, E., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Titov, M., Yu, G. B., Ahuja, S., Beaudette, F., Bonanomi, M., Buchot Perraguin, A., Busson, P., Cappati, A., Charlot, C., Davignon, O., Diab, B., Falmagne, G., Ghosh, S., Granier de Cassagnac, R., Hakimi, A., Kucher, I., Motta, J., Nguyen, M., Ochando, C., Paganini, P., Rembser, J., Salerno, R., Sarkar, U., Sauvan, J. B., Sirois, Y., Tarabini, A., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Bourgatte, G., Brom, J.-M., Chabert, E. C., Collard, C., Darej, D., Fontaine, J.-C., Goerlach, U., Grimault, C., Le Bihan, A.-C., Nibigira, E., Van Hove, P., Asilar, E., Beauceron, S., Bernet, C., Boudoul, G., Camen, C., Carle, A., Chanon, N., Contardo, D., Depasse, P., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Ille, B., Laktineh, I. B., Lattaud, H., Lesauvage, A., Lethuillier, M., Mirabito, L., Perries, S., Shchablo, K., Sordini, V., Torterotot, L., Touquet, G., Vander Donckt, M., Viret, S., Adamov, G., Lomidze, I., Tsamalaidze, Z., Botta, V., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Röwert, N., Schulz, J., Teroerde, M., Dodonova, A., Eliseev, D., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Mocellin, G., Mondal, S., Mukherjee, S., Noll, D., Novak, A., Pozdnyakov, A., Rath, Y., Reithler, H., Schmidt, A., Schuler, S. C., Sharma, A., Vigilante, L., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Haj Ahmad, W., Hlushchenko, O., Kress, T., Nowack, A., Pooth, O., Roy, D., Stahl, A., Ziemons, T., Zotz, A., Aarup Petersen, H., Aldaya Martin, M., Asmuss, P., Baxter, S., Bayatmakou, M., Behnke, O., Bermúdez Martínez, A., Bhattacharya, S., Bin Anuar, A. A., Blekman, F., Borras, K., Brunner, D., Campbell, A., Cardini, A., Cheng, C., Colombina, F., Consuegra Rodríguez, S., Correia Silva, G., Danilov, V., De Silva, M., Didukh, L., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Giraldi, A., Grohsjean, A., Guthoff, M., Jafari, A., Jomhari, N. Z., Kasem, A., Kasemann, M., Kaveh, H., Kleinwort, C., Kogler, R., Krücker, D., Lange, W., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Metwally, J., Meyer, A. B., Meyer, M., Mnich, J., Mussgiller, A., Nürnberg, A., Otarid, Y., Pérez Adán, D., Pitzl, D., Raspereza, A., Ribeiro Lopes, B., Rübenach, J., Saggio, A., Saibel, A., Savitskyi, M., Scham, M., Scheurer, V., Schnake, S., Schütze, P., Schwanenberger, C., Shchedrolosiev, M., Sosa Ricardo, R. E., Stafford, D., Tonon, N., Van De Klundert, M., Vazzoler, F., Walsh, R., Walter, D., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Wuchterl, S., Aggleton, R., Albrecht, S., Bein, S., Benato, L., Connor, P., De Leo, K., Eich, M., Feindt, F., Fröhlich, A., Garbers, C., Garutti, E., Gunnellini, P., Hajheidari, M., Haller, J., Hinzmann, A., Kasieczka, G., Klanner, R., Kramer, T., Kutzner, V., Lange, J., Lange, T., Lobanov, A., Malara, A., Mehta, A., Nigamova, A., Pena Rodriguez, K. J., Rieger, M., Rieger, O., Schleper, P., Schröder, M., Schwandt, J., Sonneveld, J., Stadie, H., Steinbrück, G., Tews, A., Zoi, I., Bechtel, J., Brommer, S., Burkart, M., Butz, E., Caspart, R., Chwalek, T., De Boer, W., Dierlamm, A., Droll, A., El Morabit, K., Faltermann, N., Giffels, M., Gosewisch, J. O., Gottmann, A., Hartmann, F., Heidecker, C., Husemann, U., Keicher, P., Koppenhöfer, R., Maier, S., Metzler, M., Mitra, S., Müller, Th., Neukum, M., Quast, G., Rabbertz, K., Rauser, J., Savoiu, D., Schnepf, M., Seith, D., Shvetsov, I., Simonis, H. J., Ulrich, R., Van Der Linden, J., Von Cube, R. F., Wassmer, M., Weber, M., Wieland, S., Wolf, R., Wozniewski, S., Wunsch, S., Anagnostou, G., Daskalakis, G., Kyriakis, A., Stakia, A., Diamantopoulou, M., Karasavvas, D., Kontaxakis, P., Koraka, C. K., Manousakis-Katsikakis, A., Panagiotou, A., Papavergou, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Vourliotis, E., Bakas, G., Kousouris, K., Papakrivopoulos, I., Tsipolitis, G., Zacharopoulou, A., Adamidis, K., Bestintzanos, I., Evangelou, I., Foudas, C., Gianneios, P., Katsoulis, P., Kokkas, P., Manthos, N., Papadopoulos, I., Strologas, J., Bartók, M., Bencze, G., Hajdu, C., Horvath, D., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Gadallah, M. M. A., Lökös, S., Major, P., Mandal, K., Pásztor, G., Rádl, A. J., Surányi, O., Veres, G. I., Czellar, S., Fasanella, D., Fienga, F., Karancsi, J., Molnar, J., Szillasi, Z., Teyssier, D., Raics, P., Trocsanyi, Z. L., Ujvari, B., Csorgo, T., Nemes, F., Novak, T., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Gupta, R., Kaur, A., Kaur, H., Kaur, M., Kumari, P., Meena, M., Sandeep, K., Singh, J. B., Virdi, A. K., Ahmed, A., Bhardwaj, A., Choudhary, B. C., Gola, M., Keshri, S., Kumar, A., Naimuddin, M., Priyanka, P., Ranjan, K., Shah, A., Bharti, M., Bhattacharya, R., Bhattacharya, S., Bhowmik, D., Dutta, S., Dutta, S., Gomber, B., Maity, M., Palit, P., Rout, P. K., Saha, G., Sahu, B., Sarkar, S., Sharan, M., Behera, P. K., Behera, S. C., Kalbhor, P., Komaragiri, J. R., Kumar, D., Muhammad, A., Panwar, L., Pradhan, R., Pujahari, P. R., Sharma, A., Sikdar, A. K., Tiwari, P. C., Naskar, K., Aziz, T., Dugad, S., Kumar, M., Mohanty, G. B., Banerjee, S., Chudasama, R., Guchait, M., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Mukherjee, S., Bahinipati, S., Kar, C., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. K., Nayak, A., Saha, P., Sur, N., Swain, S. K., Vats, D., Alpana, A., Dube, S., Kansal, B., Laha, A., Pandey, S., Rastogi, A., Sharma, S., Bakhshiansohi, H., Khazaie, E., Zeinali, M., Chenarani, S., Etesami, S. M., Khakzad, M., Mohammadi Najafabadi, M., Grunewald, M., Abbrescia, M., Aly, R., Aruta, C., Colaleo, A., Creanza, D., De Filippis, N., De Palma, M., Di Florio, A., Di Pilato, A., Elmetenawee, W., Errico, F., Fiore, L., Gelmi, A., Gul, M., Iaselli, G., Ince, M., Lezki, S., Maggi, G., Maggi, M., Margjeka, I., Mastrapasqua, V., My, S., Nuzzo, S., Pellecchia, A., Pompili, A., Pugliese, G., Ramos, D., Ranieri, A., Selvaggi, G., Silvestris, L., Simone, F. M., Sözbilir, Ü., Venditti, R., Verwilligen, P., Abbiendi, G., Battilana, C., Bonacorsi, D., Borgonovi, L., Brigliadori, L., Campanini, R., Capiluppi, P., Castro, A., Cavallo, F. R., Ciocca, C., Cuffiani, M., Dallavalle, G. M., Diotalevi, T., Fabbri, F., Fanfani, A., Giacomelli, P., Giommi, L., Grandi, C., Guiducci, L., Lo Meo, S., Lunerti, L., Marcellini, S., Masetti, G., Navarria, F. L., Perrotta, A., Primavera, F., Rossi, A. M., Rovelli, T., Siroli, G. P., Albergo, S., Costa, S., Di Mattia, A., Potenza, R., Tricomi, A., Tuve, C., Barbagli, G., Cassese, A., Ceccarelli, R., Ciulli, V., Civinini, C., D’Alessandro, R., Focardi, E., Latino, G., Lenzi, P., Lizzo, M., Meschini, M., Paoletti, S., Seidita, R., Sguazzoni, G., Viliani, L., Benussi, L., Bianco, S., Piccolo, D., Bozzo, M., Ferro, F., Mulargia, R., Robutti, E., Tosi, S., Benaglia, A., Boldrini, G., Brivio, F., Cetorelli, F., De Guio, F., Dinardo, M. E., Dini, P., Gennai, S., Ghezzi, A., Govoni, P., Guzzi, L., Lucchini, M. T., Malberti, M., Malvezzi, S., Massironi, A., Menasce, D., Moroni, L., Paganoni, M., Pedrini, D., Pinolini, B. S., Ragazzi, S., Redaelli, N., Tabarelli de Fatis, T., Valsecchi, D., Zuolo, D., Buontempo, S., Carnevali, F., Cavallo, N., De Iorio, A., Fabozzi, F., Iorio, A. O. M., Lista, L., Meola, S., Paolucci, P., Rossi, B., Sciacca, C., Azzi, P., Bacchetta, N., Bisello, D., Bortignon, P., Bragagnolo, A., Carlin, R., Checchia, P., Dorigo, T., Dosselli, U., Gasparini, F., Gasparini, U., Grosso, G., Hoh, S. Y., Layer, L., Lusiani, E., Margoni, M., Meneguzzo, A. T., Pazzini, J., Ronchese, P., Rossin, R., Simonetto, F., Strong, G., Tosi, M., Yarar, H., Zanetti, M., Zotto, P., Zucchetta, A., Zumerle, G., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Montagna, P., Ratti, S. P., Re, V., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Asenov, P., Bilei, G. M., Ciangottini, D., Fanò, L., Magherini, M., Mantovani, G., Mariani, V., Menichelli, M., Moscatelli, F., Piccinelli, A., Presilla, M., Rossi, A., Santocchia, A., Spiga, D., Tedeschi, T., Azzurri, P., Bagliesi, G., Bertacchi, V., Bianchini, L., Boccali, T., Bossini, E., Castaldi, R., Ciocci, M. A., D’Amante, V., Dell’Orso, R., Di Domenico, M. R., Donato, S., Giassi, A., Ligabue, F., Manca, E., Mandorli, G., Matos Figueiredo, D., Messineo, A., Musich, M., Palla, F., Parolia, S., Ramirez-Sanchez, G., Rizzi, A., Rolandi, G., Roy Chowdhury, S., Scribano, A., Shafiei, N., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Venturi, A., Verdini, P. G., Barria, P., Campana, M., Cavallari, F., Del Re, D., Di Marco, E., Diemoz, M., Longo, E., Meridiani, P., Organtini, G., Pandolfi, F., Paramatti, R., Quaranta, C., Rahatlou, S., Rovelli, C., Santanastasio, F., Soffi, L., Tramontano, R., Amapane, N., Arcidiacono, R., Argiro, S., Arneodo, M., Bartosik, N., Bellan, R., Bellora, A., Berenguer Antequera, J., Biino, C., Cartiglia, N., Costa, M., Covarelli, R., Demaria, N., Kiani, B., Legger, F., Mariotti, C., Maselli, S., Migliore, E., Monteil, E., Monteno, M., Obertino, M. M., Ortona, G., Pacher, L., Pastrone, N., Pelliccioni, M., Ruspa, M., Shchelina, K., Siviero, F., Sola, V., Solano, A., Soldi, D., Staiano, A., Tornago, M., Trocino, D., Vagnerini, A., Belforte, S., Candelise, V., Casarsa, M., Cossutti, F., Da Rold, A., Della Ricca, G., Sorrentino, G., Dogra, S., Huh, C., Kim, B., Kim, D. H., Kim, G. N., Kim, J., Lee, J., Lee, S. W., Moon, C. S., Oh, Y. D., Pak, S. I., Sekmen, S., Yang, Y. C., Kim, H., Moon, D. H., Francois, B., Kim, T. J., Park, J., Cho, S., Choi, S., Hong, B., Lee, K., Lee, K. S., Lim, J., Park, J., Park, S. K., Yoo, J., Goh, J., Gurtu, A., Kim, H. S., Kim, Y., Almond, J., Bhyun, J. H., Choi, J., Jeon, S., Kim, J., Kim, J. S., Ko, S., Kwon, H., Lee, H., Lee, S., Oh, B. H., Oh, M., Oh, S. B., Seo, H., Yang, U. K., Yoon, I., Jang, W., Kang, D. Y., Kang, Y., Kim, S., Ko, B., Lee, J. S. H., Lee, Y., Merlin, J. A., Park, I. C., Roh, Y., Ryu, M. S., Song, D., Watson, I. J., Yang, S., Ha, S., Yoo, H. D., Choi, M., Lee, H., Lee, Y., Yu, I., Beyrouthy, T., Maghrbi, Y., Dreimanis, K., Veckalns, V., Ambrozas, M., Carvalho Antunes De Oliveira, A., Juodagalvis, A., Rinkevicius, A., Tamulaitis, G., Bin Norjoharuddeen, N., Zolkapli, Z., Benitez, J. F., Castaneda Hernandez, A., León Coello, M., Murillo Quijada, J. A., Sehrawat, A., Valencia Palomo, L., Ayala, G., Castilla-Valdez, H., De La Cruz-Burelo, E., Heredia-De La Cruz, I., Lopez-Fernandez, R., Mondragon Herrera, C. A., Perez Navarro, D. A., Reyes-Almanza, R., Sánchez Hernández, A., Carrillo Moreno, S., Oropeza Barrera, C., Vazquez Valencia, F., Pedraza, I., Salazar Ibarguen, H. A., Uribe Estrada, C., Mijuskovic, J., Raicevic, N., Krofcheck, D., Butler, P. H., Ahmad, A., Asghar, M. I., Awais, A., Awan, M. I. M., Hoorani, H. R., Khan, W. A., Shah, M. A., Shoaib, M., Waqas, M., Avati, V., Grzanka, L., Malawski, M., Bialkowska, H., Bluj, M., Boimska, B., Górski, M., Kazana, M., Szleper, M., Zalewski, P., Bunkowski, K., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski, J., Araujo, M., Bargassa, P., Bastos, D., Boletti, A., Faccioli, P., Gallinaro, M., Hollar, J., Leonardo, N., Niknejad, T., Pisano, M., Seixas, J., Toldaiev, O., Varela, J., Adzic, P., Dordevic, M., Milenovic, P., Milosevic, J., Aguilar-Benitez, M., Alcaraz Maestre, J., Álvarez Fernández, A., Bachiller, I., Barrio Luna, M., Bedoya, Cristina F., Carrillo Montoya, C. A., Cepeda, M., Cerrada, M., Colino, N., De La Cruz, B., Delgado Peris, A., Fernández Ramos, J. P., Flix, J., Fouz, M. C., Gonzalez Lopez, O., Goy Lopez, S., Hernandez, J. M., Josa, M. I., León Holgado, J., Moran, D., Navarro Tobar, Á., Perez Dengra, C., Pérez-Calero Yzquierdo, A., Puerta Pelayo, J., Redondo, I., Romero, L., Sánchez Navas, S., Urda Gómez, L., Willmott, C., de Trocóniz, J. F., Alvarez Gonzalez, B., Cuevas, J., Erice, C., Fernandez Menendez, J., Folgueras, S., Gonzalez Caballero, I., González Fernández, J. R., Palencia Cortezon, E., Ramón Álvarez, C., Rodríguez Bouza, V., Soto Rodríguez, A., Trapote, A., Trevisani, N., Vico Villalba, C., Brochero Cifuentes, J. A., Cabrillo, I. J., Calderon, A., Duarte Campderros, J., Fernandez, M., Fernandez Madrazo, C., Fernández Manteca, P. J., García Alonso, A., Gomez, G., Martinez Rivero, C., Martinez Ruiz del Arbol, P., Matorras, F., Matorras Cuevas, P., Piedra Gomez, J., Prieels, C., Ruiz-Jimeno, A., Scodellaro, L., Vila, I., Vizan Garcia, J. M., Jayananda, M. K., Kailasapathy, B., Sonnadara, D. U. J., Wickramarathna, D. D. C., Dharmaratna, W. G. D., Liyanage, K., Perera, N., Wickramage, N., Aarrestad, T. K., Abbaneo, D., Alimena, J., Auffray, E., Auzinger, G., Baechler, J., Baillon, P., Barney, D., Bendavid, J., Bianco, M., Bocci, A., Caillol, C., Camporesi, T., Capeans Garrido, M., Cerminara, G., Chernyavskaya, N., Chhibra, S. S., Choudhury, S., Cipriani, M., Cristella, L., d’Enterria, D., Dabrowski, A., David, A., De Roeck, A., Defranchis, M. M., Deile, M., Dobson, M., Dünser, M., Dupont, N., Elliott-Peisert, A., Emriskova, N., Fallavollita, F., Florent, A., Forthomme, L., Franzoni, G., Funk, W., Ghosh, S., Giani, S., Gigi, D., Gill, K., Glege, F., Gouskos, L., Haranko, M., Hegeman, J., Innocente, V., James, T., Janot, P., Kaspar, J., Kieseler, J., Komm, M., Kratochwil, N., Lange, C., Laurila, S., Lecoq, P., Lintuluoto, A., Long, K., Lourenço, C., Maier, B., Malgeri, L., Mallios, S., Mannelli, M., Marini, A. C., Meijers, F., Mersi, S., Meschi, E., Moortgat, F., Mulders, M., Orfanelli, S., Orsini, L., Pantaleo, F., Perez, E., Peruzzi, M., Petrilli, A., Petrucciani, G., Pfeiffer, A., Pierini, M., Piparo, D., Pitt, M., Qu, H., Quast, T., Rabady, D., Racz, A., Reales Gutiérrez, G., Rovere, M., Sakulin, H., Salfeld-Nebgen, J., Scarfi, S., Schäfer, C., Selvaggi, M., Sharma, A., Silva, P., Snoeys, W., Sphicas, P., Summers, S., Tatar, K., Tavolaro, V. R., Treille, D., Tropea, P., Tsirou, A., Wanczyk, J., Wozniak, K. A., Zeuner, W. D., Caminada, L., Ebrahimi, A., Erdmann, W., Horisberger, R., Ingram, Q., Kaestli, H. C., Kotlinski, D., Missiroli, M., Noehte, L., Rohe, T., Androsov, K., Backhaus, M., Berger, P., Calandri, A., De Cosa, A., Dissertori, G., Dittmar, M., Donegà, M., Dorfer, C., Eble, F., Gedia, K., Glessgen, F., Gómez Espinosa, T. A., Grab, C., Hits, D., Lustermann, W., Lyon, A.-M., Manzoni, R. A., Marchese, L., Martin Perez, C., Meinhard, M. T., Nessi-Tedaldi, F., Niedziela, J., Pauss, F., Perovic, V., Pigazzini, S., Ratti, M. G., Reichmann, M., Reissel, C., Reitenspiess, T., Ristic, B., Ruini, D., Sanz Becerra, D. A., Stampf, V., Steggemann, J., Wallny, R., Amsler, C., Bärtschi, P., Botta, C., Brzhechko, D., Canelli, M. F., Cormier, K., De Wit, A., Del Burgo, R., Heikkilä, J. K., Huwiler, M., Jin, W., Jofrehei, A., Kilminster, B., Leontsinis, S., Liechti, S. P., Macchiolo, A., Meiring, P., Mikuni, V. M., Molinatti, U., Neutelings, I., Reimers, A., Robmann, P., Sanchez Cruz, S., Schweiger, K., Senger, M., Takahashi, Y., Adloff, C., Kuo, C. M., Lin, W., Roy, A., Sarkar, T., Yu, S. S., Ceard, L., Chao, Y., Chen, K. F., Chen, P. H., Chen, P. s., Cheng, H., Hou, W.-S., Li, Y. y., Lu, R.-S., Paganis, E., Psallidas, A., Steen, A., Wu, H. y., Yazgan, E., Yu, P. r., Asavapibhop, B., Asawatangtrakuldee, C., Srimanobhas, N., Boran, F., Damarseckin, S., Demiroglu, Z. S., Dolek, F., Dumanoglu, I., Eskut, E., Guler, Y., Gurpinar Guler, E., Isik, C., Kara, O., Kayis Topaksu, A., Kiminsu, U., Onengut, G., Ozdemir, K., Polatoz, A., Simsek, A. E., Tali, B., Tok, U. G., Turkcapar, S., Zorbakir, I. S., Karapinar, G., Ocalan, K., Yalvac, M., Akgun, B., Atakisi, I. O., Gülmez, E., Kaya, M., Kaya, O., Özçelik, Ö., Tekten, S., Yetkin, E. A., Cakir, A., Cankocak, K., Komurcu, Y., Sen, S., Cerci, S., Hos, I., Isildak, B., Kaynak, B., Ozkorucuklu, S., Sert, H., Sunar Cerci, D., Zorbilmez, C., Grynyov, B., Levchuk, L., Anthony, D., Bhal, E., Bologna, S., Brooke, J. J., Bundock, A., Clement, E., Cussans, D., Flacher, H., Goldstein, J., Heath, G. P., Heath, H. F., Kreczko, L., Krikler, B., Paramesvaran, S., Seif El Nasr-Storey, S., Smith, V. J., Stylianou, N., Walkingshaw Pass, K., White, R., Bell, K. W., Belyaev, A., Brew, C., Brown, R. M., Cockerill, D. J. A., Cooke, C., Ellis, K. V., Harder, K., Harper, S., Holmberg, M.-L., Linacre, J., Manolopoulos, K., Newbold, D. M., Olaiya, E., Petyt, D., Reis, T., Schuh, T., Shepherd-Themistocleous, C. H., Tomalin, I. R., Williams, T., Bainbridge, R., Bloch, P., Bonomally, S., Borg, J., Breeze, S., Buchmuller, O., Cepaitis, V., Chahal, G. S., Colling, D., Dauncey, P., Davies, G., Della Negra, M., Fayer, S., Fedi, G., Hall, G., Hassanshahi, M. H., Iles, G., Langford, J., Lyons, L., Magnan, A.-M., Malik, S., Martelli, A., Monk, D. G., Nash, J., Pesaresi, M., Radburn-Smith, B. C., Raymond, D. M., Richards, A., Rose, A., Scott, E., Seez, C., Shtipliyski, A., Tapper, A., Uchida, K., Virdee, T., Vojinovic, M., Wardle, N., Webb, S. N., Winterbottom, D., Coldham, K., Cole, J. E., Khan, A., Kyberd, P., Reid, I. D., Teodorescu, L., Zahid, S., Abdullin, S., Brinkerhoff, A., Caraway, B., Dittmann, J., Hatakeyama, K., Kanuganti, A. R., McMaster, B., Pastika, N., Saunders, M., Sawant, S., Sutantawibul, C., Wilson, J., Bartek, R., Dominguez, A., Uniyal, R., Vargas Hernandez, A. M., Buccilli, A., Cooper, S. I., Di Croce, D., Gleyzer, S. V., Henderson, C., Perez, C. U., Rumerio, P., West, C., Akpinar, A., Albert, A., Arcaro, D., Cosby, C., Demiragli, Z., Fontanesi, E., Gastler, D., May, S., Rohlf, J., Salyer, K., Sperka, D., Spitzbart, D., Suarez, I., Tsatsos, A., Yuan, S., Zou, D., Benelli, G., Burkle, B., Coubez, X., Cutts, D., Hadley, M., Heintz, U., Hogan, J. M., Kwon, T., Landsberg, G., Lau, K. T., Li, D., Lukasik, M., Luo, J., Narain, M., Pervan, N., Sagir, S., Simpson, F., Usai, E., Wong, W. Y., Yan, X., Yu, D., Zhang, W., Bonilla, J., Brainerd, C., Breedon, R., Calderon De La Barca Sanchez, M., Chertok, M., Conway, J., Cox, P. T., Erbacher, R., Haza, G., Jensen, F., Kukral, O., Lander, R., Mulhearn, M., Pellett, D., Regnery, B., Taylor, D., Yao, Y., Zhang, F., Bachtis, M., Cousins, R., Datta, A., Hamilton, D., Hauser, J., Ignatenko, M., Iqbal, M. A., Lam, T., Nash, W. A., Regnard, S., Saltzberg, D., Stone, B., Valuev, V., Chen, Y., Clare, R., Gary, J. W., Gordon, M., Hanson, G., Karapostoli, G., Long, O. R., Manganelli, N., Si, W., Wimpenny, S., Zhang, Y., Branson, J. G., Chang, P., Cittolin, S., Cooperstein, S., Deelen, N., Diaz, D., Duarte, J., Gerosa, R., Giannini, L., Guiang, J., Kansal, R., Krutelyov, V., Lee, R., Letts, J., Masciovecchio, M., Mokhtar, F., Pieri, M., Sathia Narayanan, B. V., Sharma, V., Tadel, M., Würthwein, F., Xiang, Y., Yagil, A., Amin, N., Campagnari, C., Citron, M., Dorsett, A., Dutta, V., Incandela, J., Kilpatrick, M., Kim, J., Marsh, B., Mei, H., Oshiro, M., Quinnan, M., Richman, J., Sarica, U., Setti, F., Sheplock, J., Siddireddy, P., Stuart, D., Wang, S., Bornheim, A., Cerri, O., Dutta, I., Lawhorn, J. M., Lu, N., Mao, J., Newman, H. B., Nguyen, T. Q., Spiropulu, M., Vlimant, J. R., Wang, C., Xie, S., Zhang, Z., Zhu, R. Y., Alison, J., An, S., Andrews, M. B., Bryant, P., Ferguson, T., Harilal, A., Liu, C., Mudholkar, T., Paulini, M., Sanchez, A., Terrill, W., Cumalat, J. P., Ford, W. T., Hassani, A., Karathanasis, G., MacDonald, E., Patel, R., Perloff, A., Savard, C., Schonbeck, N., Stenson, K., Ulmer, K. A., Wagner, S. R., Zipper, N., Alexander, J., Bright-Thonney, S., Chen, X., Cheng, Y., Cranshaw, D. J., Hogan, S., Monroy, J., Patterson, J. R., Quach, D., Reichert, J., Reid, M., Ryd, A., Sun, W., Thom, J., Wittich, P., Zou, R., Albrow, M., Alyari, M., Apollinari, G., Apresyan, A., Apyan, A., Bauerdick, L. A. T., Berry, D., Berryhill, J., Bhat, P. C., Burkett, K., Butler, J. N., Canepa, A., Cerati, G. B., Cheung, H. W. K., Chlebana, F., Di Petrillo, K. F., Dickinson, J., Elvira, V. D., Feng, Y., Freeman, J., Gecse, Z., Gray, L., Green, D., Grünendahl, S., Gutsche, O., Harris, R. M., Heller, R., Herwig, T. C., Hirschauer, J., Jayatilaka, B., Jindariani, S., Johnson, M., Joshi, U., Klijnsma, T., Klima, B., Kwok, K. H. M., Lammel, S., Lincoln, D., Lipton, R., Liu, T., Madrid, C., Maeshima, K., Mantilla, C., Mason, D., McBride, P., Merkel, P., Mrenna, S., Nahn, S., Ngadiuba, J., Papadimitriou, V., Pedro, K., Pena, C., Ravera, F., Reinsvold Hall, A., Ristori, L., Sexton-Kennedy, E., Smith, N., Soha, A., Spiegel, L., Strait, J., Taylor, L., Tkaczyk, S., Tran, N. V., Uplegger, L., Vaandering, E. W., Weber, H. A., Avery, P., Bourilkov, D., Cadamuro, L., Cherepanov, V., Field, R. D., Guerrero, D., Joshi, B. M., Kim, M., Koenig, E., Konigsberg, J., Korytov, A., Lo, K. H., Matchev, K., Menendez, N., Mitselmakher, G., Muthirakalayil Madhu, A., Rawal, N., Rosenzweig, D., Rosenzweig, S., Shi, K., Wang, J., Wu, Z., Yigitbasi, E., Zuo, X., Adams, T., Askew, A., Habibullah, R., Hagopian, V., Johnson, K. F., Khurana, R., Kolberg, T., Martinez, G., Prosper, H., Schiber, C., Viazlo, O., Yohay, R., Zhang, J., Baarmand, M. M., Butalla, S., Elkafrawy, T., Hohlmann, M., Kumar Verma, R., Noonan, D., Rahmani, M., Yumiceva, F., Adams, M. R., Becerril Gonzalez, H., Cavanaugh, R., Dittmer, S., Evdokimov, O., Gerber, C. E., Hofman, D. J., Merrit, A. H., Mills, C., Oh, G., Roy, T., Rudrabhatla, S., Tonjes, M. B., Varelas, N., Viinikainen, J., Wang, X., Ye, Z., Alhusseini, M., Dilsiz, K., Emediato, L., Gandrajula, R. P., Köseyan, O. K., Merlo, J.-P., Mestvirishvili, A., Nachtman, J., Ogul, H., Onel, Y., Penzo, A., Snyder, C., Tiras, E., Amram, O., Blumenfeld, B., Brehm, D., Corcodilos, L., Davis, J., Gritsan, A. V., Kyriacou, S., Maksimovic, P., Roskes, J., Swartz, M., Vámi, T. Á., Abreu, A., Anguiano, J., Baldenegro Barrera, C., Baringer, P., Bean, A., Bylinkin, A., Flowers, Z., Isidori, T., Khalil, S., King, J., Krintiras, G., Kropivnitskaya, A., Lazarovits, M., Le Mahieu, C., Lindsey, C., Marquez, J., Minafra, N., Murray, M., Nickel, M., Rogan, C., Royon, C., Salvatico, R., Sanders, S., Schmitz, E., Smith, C., Wang, Q., Warner, Z., Williams, J., Wilson, G., Duric, S., Ivanov, A., Kaadze, K., Kim, D., Maravin, Y., Mitchell, T., Modak, A., Nam, K., Rebassoo, F., Wright, D., Adams, E., Baden, A., Baron, O., Belloni, A., Eno, S. C., Hadley, N. J., Jabeen, S., Kellogg, R. G., Koeth, T., Lai, Y., Lascio, S., Mignerey, A. C., Nabili, S., Palmer, C., Seidel, M., Skuja, A., Wang, L., Wong, K., Abercrombie, D., Andreassi, G., Bi, R., Busza, W., Cali, I. A., Chen, Y., D’Alfonso, M., Eysermans, J., Freer, C., Gomez-Ceballos, G., Goncharov, M., Harris, P., Hu, M., Klute, M., Kovalskyi, D., Krupa, J., Lee, Y.-J., Mironov, C., Paus, C., Rankin, D., Roland, C., Roland, G., Shi, Z., Stephans, G. S. F., Wang, J., Wang, Z., Wyslouch, B., Chatterjee, R. M., Evans, A., Hiltbrand, J., Jain, Sh., Krohn, M., Kubota, Y., Mans, J., Revering, M., Rusack, R., Saradhy, R., Schroeder, N., Strobbe, N., Wadud, M. A., Bloom, K., Bryson, M., Chauhan, S., Claes, D. R., Fangmeier, C., Finco, L., Golf, F., Joo, C., Kravchenko, I., Reed, I., Siado, J. E., Snow, G. R., Tabb, W., Wightman, A., Yan, F., Zecchinelli, A. G., Agarwal, G., Bandyopadhyay, H., Hay, L., Iashvili, I., Kharchilava, A., McLean, C., Nguyen, D., Pekkanen, J., Rappoccio, S., Williams, A., Alverson, G., Barberis, E., Haddad, Y., Han, Y., Hortiangtham, A., Krishna, A., Li, J., Lidrych, J., Madigan, G., Marzocchi, B., Morse, D. M., Nguyen, V., Orimoto, T., Parker, A., Skinnari, L., Tishelman-Charny, A., Wamorkar, T., Wang, B., Wisecarver, A., Wood, D., Bhattacharya, S., Bueghly, J., Chen, Z., Gilbert, A., Gunter, T., Hahn, K. A., Liu, Y., Odell, N., Schmitt, M. H., Velasco, M., Band, R., Bucci, R., Cremonesi, M., Das, A., Dev, N., Goldouzian, R., Hildreth, M., Hurtado Anampa, K., Jessop, C., Lannon, K., Lawrence, J., Loukas, N., Lutton, L., Mariano, J., Marinelli, N., Mcalister, I., McCauley, T., Mcgrady, C., Mohrman, K., Moore, C., Musienko, Y., Ruchti, R., Townsend, A., Wayne, M., Zarucki, M., Zygala, L., Bylsma, B., Durkin, L. S., Francis, B., Hill, C., Nunez Ornelas, M., Wei, K., Winer, B. L., Yates, B. R., Addesa, F. M., Bonham, B., Das, P., Dezoort, G., Elmer, P., Frankenthal, A., Greenberg, B., Haubrich, N., Higginbotham, S., Kalogeropoulos, A., Kopp, G., Kwan, S., Lange, D., Marlow, D., Mei, K., Ojalvo, I., Olsen, J., Stickland, D., Tully, C., Malik, S., Norberg, S., Bakshi, A. S., Barnes, V. E., Chawla, R., Das, S., Gutay, L., Jones, M., Jung, A. W., Kondratyev, D., Koshy, A. M., Liu, M., Negro, G., Neumeister, N., Paspalaki, G., Piperov, S., Purohit, A., Schulte, J. F., Stojanovic, M., Thieman, J., Wang, F., Xiao, R., Xie, W., Dolen, J., Parashar, N., Acosta, D., Baty, A., Carnahan, T., Decaro, M., Dildick, S., Ecklund, K. M., Freed, S., Gardner, P., Geurts, F. J. M., Kumar, A., Li, W., Padley, B. P., Redjimi, R., Rotter, J., Shi, W., Stahl Leiton, A. G., Yang, S., Zhang, L., Zhang, Y., Bodek, A., de Barbaro, P., Demina, R., Dulemba, J. L., Fallon, C., Ferbel, T., Galanti, M., Garcia-Bellido, A., Hindrichs, O., Khukhunaishvili, A., Ranken, E., Taus, R., Van Onsem, G. P., Chiarito, B., Chou, J. P., Gandrakota, A., Gershtein, Y., Halkiadakis, E., Hart, A., Heindl, M., Karacheban, O., Laflotte, I., Lath, A., Montalvo, R., Nash, K., Osherson, M., Salur, S., Schnetzer, S., Somalwar, S., Stone, R., Thayil, S. A., Thomas, S., Wang, H., Acharya, H., Delannoy, A. G., Fiorendi, S., Spanier, S., Bouhali, O., Dalchenko, M., Delgado, A., Eusebi, R., Gilmore, J., Huang, T., Kamon, T., Kim, H., Luo, S., Malhotra, S., Mueller, R., Overton, D., Rathjens, D., Safonov, A., Akchurin, N., Damgov, J., Hegde, V., Kunori, S., Lamichhane, K., Lee, S. W., Mengke, T., Muthumuni, S., Peltola, T., Volobouev, I., Wang, Z., Whitbeck, A., Appelt, E., Greene, S., Gurrola, A., Johns, W., Melo, A., Padeken, K., Romeo, F., Sheldon, P., Tuo, S., Velkovska, J., Arenton, M. W., Cardwell, B., Cox, B., Cummings, G., Hakala, J., Hirosky, R., Joyce, M., Ledovskoy, A., Li, A., Neu, C., Perez Lara, C. E., Tannenwald, B., White, S., Poudyal, N., Banerjee, S., Black, K., Bose, T., Dasu, S., De Bruyn, I., Everaerts, P., Galloni, C., He, H., Herndon, M., Herve, A., Hussain, U., Lanaro, A., Loeliger, A., Loveless, R., Madhusudanan Sreekala, J., Mallampalli, A., Mohammadi, A., Pinna, D., Savin, A., Shang, V., Sharma, V., Smith, W. H., Teague, D., Trembath-Reichert, S., Vetens, W., Afanasiev, S., Budkouski, D., Golutvin, I., Gorbunov, I., Karjavine, V., Korenkov, V., Lanev, A., Malakhov, A., Matveev, V., Palichik, V., Perelygin, V., Savina, M., Shalaev, V., Shmatov, S., Shulha, S., Smirnov, V., Teryaev, O., Voytishin, N., Yuldashev, B. S., Zarubin, A., Zhizhin, I., Gavrilov, G., Golovtcov, V., Ivanov, Y., Kim, V., Kuznetsova, E., Murzin, V., Oreshkin, V., Smirnov, I., Sosnov, D., Sulimov, V., Uvarov, L., Volkov, S., Vorobyev, A., Andreev, Yu., Dermenev, A., Gninenko, S., Golubev, N., Karneyeu, A., Kirpichnikov, D., Kirsanov, M., Krasnikov, N., Pashenkov, A., Pivovarov, G., Toropin, A., Aushev, T., Epshteyn, V., Gavrilov, V., Lychkovskaya, N., Nikitenko, A., Popov, V., Stepennov, A., Toms, M., Vlasov, E., Zhokin, A., Bychkova, O., Chistov, R., Danilov, M., Oskin, A., Parygin, P., Polikarpov, S., Andreev, V., Azarkin, M., Dremin, I., Kirakosyan, M., Terkulov, A., Belyaev, A., Boos, E., Bunichev, V., Dubinin, M., Dudko, L., Ershov, A., Klyukhin, V., Kodolova, O., Obraztsov, S., Perfilov, M., Petrushanko, S., Savrin, V., Blinov, V., Dimova, T., Kardapoltsev, L., Kozyrev, A., Ovtin, I., Radchenko, O., Skovpen, Y., Kachanov, V., Konstantinov, D., Slabospitskii, S., Uzunian, A., Babaev, A., Okhotnikov, V., Borshch, V., Ivanchenko, V., Tcherniaev, E., Chekhovsky, V., Litomin, A., and Makarenko, V.
Published: 2025
Full Text: View/download PDF

39. Measurement of the double-differential inclusive jet cross section in proton-proton collisions at s = 5.02 TeV

Author: Hayrapetyan, A., Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Kello, T., Van Mechelen, P., Bols, E. S., D’Hondt, J., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Makarenko, I., Morton, A., Müller, D., Sahasransu, A. R., Tavernier, S., Van Putte, S., Vannerom, D., Clerbaux, B., Dansana, S., De Lentdecker, G., Favart, L., Hohov, D., Jaramillo, J., Lee, K., Mahdavikhorrami, M., Malara, A., Paredes, S., Pétré, L., Postiau, N., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., De Coen, M., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Rendón, C., Samalan, A., Skovpen, K., Tytgat, M., Van Den Bossche, N., Vermassen, B., Wezenbeek, L., Benecke, A., Bruno, G., Bury, F., Caputo, C., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Lidrych, J., Mastrapasqua, P., Mondal, K., Tran, T. T., Vischia, P., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., Moraes, A., Rebello Teles, P., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Dos Santos Sousa, V., Fonseca De Souza, S., Martins, J., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Orzari, B., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Keshri, S., Thakur, S., Cheng, T., Guo, Q., Javaid, T., Mittal, M., Yuan, L., Bauer, G., Hu, Z., Lezki, S., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Monti, F., Sharma, R., Song, J. N., Tao, J., Wang, J., Zhang, H., Agapitos, A., Ban, Y., Levin, A., Li, C., Li, Q., Lyu, X., Mao, Y., Qian, S. J., Sun, X., Wang, D., Yang, H., Lu, M., You, Z., Lu, N., Gao, X., Leggat, D., Okawa, H., Zhang, Y., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Reyes Vega, J. A., Mejia Guisao, J., Ramirez, F., Rodriguez, M., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Sculac, A., Kovac, M., Sculac, T., Bargassa, P., Brigljevic, V., Chitroda, B. K., Ferencek, D., Mishra, S., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Konstantinou, S., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Stepennov, A., Finger, M., Finger, Jr., M., Kveton, A., Ayala, E., Carrera Jarrin, E., Elgammal, S., Ellithi Kamel, A., Mahmoud, M. A., Mohammed, Y., Ehataht, K., Kadastik, M., Lange, T., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Brücken, E., Garcia, F., Havukainen, J., Kim, M. S., Kinnunen, R., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Lotti, M., Martikainen, L., Myllymäki, M., Rantanen, M. m., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Petrow, H., Tuuva, T., Amendola, C., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Lohezic, V., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Baldenegro Barrera, C., Beaudette, F., Buchot Perraguin, A., Busson, P., Cappati, A., Charlot, C., Damas, F., Davignon, O., Diab, B., Falmagne, G., Fontana Santos Alves, B. A., Ghosh, S., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Liu, G., Motta, J., Nguyen, M., Ochando, C., Portales, L., Salerno, R., Sarkar, U., Sauvan, J. B., Sirois, Y., Tarabini, A., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Brom, J.-M., Chabert, E. C., Collard, C., Goerlach, U., Grimault, C., Le Bihan, A.-C., Van Hove, P., Beauceron, S., Blancon, B., Boudoul, G., Chanon, N., Choi, J., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Greenberg, C., Grenier, G., Ille, B., Laktineh, I. B., Lethuillier, M., Mirabito, L., Perries, S., Vander Donckt, M., Verdier, P., Xiao, J., Lomidze, I., Toriashvili, T., Tsamalaidze, Z., Botta, V., Feld, L., Klein, K., Lipinski, M., Meuser, D., Pauls, A., Röwert, N., Teroerde, M., Diekmann, S., Dodonova, A., Eich, N., Eliseev, D., Erdmann, M., Fackeldey, P., Fischer, B., Hebbeker, T., Hoepfner, K., Ivone, F., Lee, M. y., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Mondal, S., Mukherjee, S., Noll, D., Novak, A., Nowotny, F., Pozdnyakov, A., Rath, Y., Redjeb, W., Rehm, F., Reithler, H., Schmidt, A., Schuler, S. C., Sharma, A., Stein, A., Torres Da Silva De Araujo, F., Vigilante, L., Wiedenbeck, S., Zaleski, S., Dziwok, C., Flügge, G., Haj Ahmad, W., Kress, T., Nowack, A., Pooth, O., Stahl, A., Ziemons, T., Zotz, A., Aarup Petersen, H., Aldaya Martin, M., Alimena, J., Amoroso, S., An, Y., Baxter, S., Bayatmakou, M., Becerril Gonzalez, H., Behnke, O., Bhattacharya, S., Blekman, F., Borras, K., Brunner, D., Campbell, A., Cardini, A., Cheng, C., Colombina, F., Consuegra Rodríguez, S., Correia Silva, G., De Silva, M., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Giraldi, A., Greau, G., Grohsjean, A., Guglielmi, V., Guthoff, M., Jafari, A., Jomhari, N. Z., Kaech, B., Kasemann, M., Kaveh, H., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Leyva Pernia, D., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Metwally, J., Meyer, A. B., Milella, G., Mormile, M., Mussgiller, A., Nürnberg, A., Otarid, Y., Pérez Adán, D., Ranken, E., Raspereza, A., Ribeiro Lopes, B., Rübenach, J., Saggio, A., Scham, M., Scheurer, V., Schnake, S., Schütze, P., Schwanenberger, C., Shchedrolosiev, M., Sosa Ricardo, R. E., Sreelatha Pramod, L. P., Stafford, D., Vazzoler, F., Ventura Barroso, A., Walsh, R., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Wuchterl, S., Yang, Y., Zimermmane Castro Santos, A., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bonanomi, M., Connor, P., De Leo, K., Eich, M., El Morabit, K., Fröhlich, A., Garbers, C., Garutti, E., Hajheidari, M., Haller, J., Hinzmann, A., Jabusch, H. R., Kasieczka, G., Keicher, P., Klanner, R., Korcari, W., Kramer, T., Kutzner, V., Labe, F., Lange, J., Lobanov, A., Matthies, C., Mehta, A., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Pena Rodriguez, K. J., Quadfasel, T., Rieger, M., Savoiu, D., Schindler, J., Schleper, P., Schröder, M., Schwandt, J., Sommerhalder, M., Stadie, H., Steinbrück, G., Tews, A., Wolf, M., Brommer, S., Burkart, M., Butz, E., Chwalek, T., Dierlamm, A., Droll, A., Faltermann, N., Giffels, M., Gottmann, A., Hartmann, F., Horzela, M., Husemann, U., Klute, M., Koppenhöfer, R., Link, M., Lintuluoto, A., Maier, S., Mitra, S., Müller, Th., Neukum, M., Quast, G., Rabbertz, K., Shvetsov, I., Simonis, H. J., Trevisani, N., Ulrich, R., van der Linden, J., Wassmer, M., Wieland, S., Wolf, R., Wunsch, S., Anagnostou, G., Assiouras, P., Daskalakis, G., Kyriakis, A., Stakia, A., Karasavvas, D., Kontaxakis, P., Melachroinos, G., Panagiotou, A., Papavergou, I., Paraskevas, I., Saoulidou, N., Theofilatos, K., Tziaferi, E., Vellidis, K., Zisopoulos, I., Bakas, G., Chatzistavrou, T., Karapostoli, G., Kousouris, K., Papakrivopoulos, I., Siamarkou, E., Tsipolitis, G., Zacharopoulou, A., Adamidis, K., Bestintzanos, I., Evangelou, I., Foudas, C., Gianneios, P., Kamtsikis, C., Katsoulis, P., Kokkas, P., Kosmoglou Kioseoglou, P. G., Manthos, N., Papadopoulos, I., Strologas, J., Bartók, M., Hajdu, C., Horvath, D., Sikler, F., Veszpremi, V., Csanád, M., Farkas, K., Gadallah, M. M. A., Major, P., Mandal, K., Pásztor, G., Rádl, A. J., Surányi, O., Veres, G. I., Bencze, G., Czellar, S., Karancsi, J., Molnar, J., Szillasi, Z., Raics, P., Ujvari, B., Zilizi, G., Csorgo, T., Nemes, F., Novak, T., Babbar, J., Bansal, S., Beri, S. B., Bhatnagar, V., Chaudhary, G., Chauhan, S., Dhingra, N., Gupta, R., Kaur, A., Kaur, A., Kaur, H., Kaur, M., Kumar, S., Kumari, P., Meena, M., Sandeep, K., Sheokand, T., Singh, J. B., Singla, A., Ahmed, A., Bhardwaj, A., Chhetri, A., Choudhary, B. C., Kumar, A., Naimuddin, M., Ranjan, K., Saumya, S., Baradia, S., Barman, S., Bhattacharya, S., Bhowmik, D., Dutta, S., Dutta, S., Gomber, B., Palit, P., Saha, G., Sahu, B., Sarkar, S., Behera, P. K., Behera, S. C., Chatterjee, S., Jana, P., Kalbhor, P., Komaragiri, J. R., Kumar, D., Mohammad Mobassir Ameen, M., Muhammad, A., Panwar, L., Pradhan, R., Pujahari, P. R., Saha, N. R., Sharma, A., Sikdar, A. K., Verma, S., Aziz, T., Das, I., Dugad, S., Kumar, M., Mohanty, G. B., Suryadevara, P., Bala, A., Banerjee, S., Guchait, M., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Mukherjee, S., Thachayath, A., Bahinipati, S., Das, A. K., Kar, C., Maity, D., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. K., Naskar, K., Nayak, A., Saha, P., Swain, S. K., Varghese, S., Vats, D., Alpana, A., Dube, S., Kansal, B., Laha, A., Pandey, S., Rastogi, A., Sharma, S., Bakhshiansohi, H., Khazaie, E., Zeinali, M., Chenarani, S., Etesami, S. M., Khakzad, M., Mohammadi Najafabadi, M., Grunewald, M., Abbrescia, M., Aly, R., Aruta, C., Colaleo, A., Creanza, D., D’Anzi, B., De Filippis, N., De Palma, M., Di Florio, A., Elmetenawee, W., Errico, F., Fiore, L., Iaselli, G., Maggi, G., Maggi, M., Margjeka, I., Mastrapasqua, V., My, S., Nuzzo, S., Pellecchia, A., Pompili, A., Pugliese, G., Radogna, R., Ramos, D., Ranieri, A., Selvaggi, G., Silvestris, L., Simone, F. M., Sözbilir, Ü., Stamerra, A., Venditti, R., Verwilligen, P., Abbiendi, G., Battilana, C., Borgonovi, L., Brigliadori, L., Capiluppi, P., Castro, A., Cavallo, F. R., Cuffiani, M., Dallavalle, G. M., Diotalevi, T., Fabbri, F., Fanfani, A., Fasanella, D., Giacomelli, P., Giommi, L., Grandi, C., Guiducci, L., Lo Meo, S., Lunerti, L., Marcellini, S., Masetti, G., Navarria, F. L., Perrotta, A., Primavera, F., Rossi, A. M., Rovelli, T., Siroli, G. P., Costa, S., Di Mattia, A., Potenza, R., Tricomi, A., Tuve, C., Barbagli, G., Bardelli, G., Camaiani, B., Cassese, A., Ceccarelli, R., Ciulli, V., Civinini, C., D’Alessandro, R., Focardi, E., Latino, G., Lenzi, P., Lizzo, M., Meschini, M., Paoletti, S., Sguazzoni, G., Viliani, L., Benussi, L., Bianco, S., Meola, S., Piccolo, D., Chatagnon, P., Ferro, F., Robutti, E., Tosi, S., Benaglia, A., Boldrini, G., Brivio, F., Cetorelli, F., De Guio, F., Dinardo, M. E., Dini, P., Gennai, S., Ghezzi, A., Govoni, P., Guzzi, L., Lucchini, M. T., Malberti, M., Malvezzi, S., Massironi, A., Menasce, D., Moroni, L., Paganoni, M., Pedrini, D., Pinolini, B. S., Ragazzi, S., Redaelli, N., Tabarelli de Fatis, T., Zuolo, D., Buontempo, S., Cagnotta, A., Carnevali, F., Cavallo, N., De Iorio, A., Fabozzi, F., Iorio, A. O. M., Lista, L., Paolucci, P., Rossi, B., Sciacca, C., Ardino, R., Azzi, P., Bacchetta, N., Bisello, D., Bortignon, P., Bragagnolo, A., Carlin, R., Dorigo, T., Gasparini, F., Gasparini, U., Govi, G., Gozzelino, A., Grosso, G., Layer, L., Lusiani, E., Margoni, M., Meneguzzo, A. T., Migliorini, M., Pazzini, J., Ronchese, P., Rossin, R., Simonetto, F., Strong, G., Tosi, M., Triossi, A., Ventura, S., Yarar, H., Zanetti, M., Zotto, P., Zucchetta, A., Abu Zeid, S., Aimè, C., Braghieri, A., Calzaferri, S., Fiorina, D., Montagna, P., Re, V., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Asenov, P., Bilei, G. M., Ciangottini, D., Fanò, L., Magherini, M., Mantovani, G., Mariani, V., Menichelli, M., Moscatelli, F., Piccinelli, A., Presilla, M., Rossi, A., Santocchia, A., Spiga, D., Tedeschi, T., Azzurri, P., Bagliesi, G., Bhattacharya, R., Bianchini, L., Boccali, T., Bossini, E., Bruschini, D., Castaldi, R., Ciocci, M. A., D’Amante, V., Dell’Orso, R., Donato, S., Giassi, A., Ligabue, F., Matos Figueiredo, D., Messineo, A., Musich, M., Palla, F., Parolia, S., Ramirez-Sanchez, G., Rizzi, A., Rolandi, G., Roy Chowdhury, S., Sarkar, T., Scribano, A., Spagnolo, P., Tenchini, R., Tonelli, G., Turini, N., Venturi, A., Verdini, P. G., Barria, P., Campana, M., Cavallari, F., Cunqueiro Mendez, L., Del Re, D., Di Marco, E., Diemoz, M., Longo, E., Meridiani, P., Mijuskovic, J., Organtini, G., Pandolfi, F., Paramatti, R., Quaranta, C., Rahatlou, S., Rovelli, C., Santanastasio, F., Soffi, L., Tramontano, R., Amapane, N., Arcidiacono, R., Argiro, S., Arneodo, M., Bartosik, N., Bellan, R., Bellora, A., Biino, C., Cartiglia, N., Costa, M., Covarelli, R., Demaria, N., Finco, L., Grippo, M., Kiani, B., Legger, F., Luongo, F., Mariotti, C., Maselli, S., Mecca, A., Migliore, E., Monteno, M., Mulargia, R., Obertino, M. M., Ortona, G., Pacher, L., Pastrone, N., Pelliccioni, M., Ruspa, M., Shchelina, K., Siviero, F., Sola, V., Solano, A., Soldi, D., Staiano, A., Tarricone, C., Tornago, M., Trocino, D., Umoret, G., Vagnerini, A., Vlasov, E., Belforte, S., Candelise, V., Casarsa, M., Cossutti, F., Della Ricca, G., Sorrentino, G., Dogra, S., Huh, C., Kim, B., Kim, D. H., Kim, J., Lee, J., Lee, S. W., Moon, C. S., Oh, Y. D., Pak, S. I., Ryu, M. S., Sekmen, S., Yang, Y. C., Kim, H., Moon, D. H., Asilar, E., Kim, T. J., Park, J., Choi, S., Han, S., Hong, B., Lee, K., Lee, K. S., Lim, J., Park, J., Park, S. K., Yoo, J., Goh, J., Kim, H. S., Kim, Y., Lee, S., Almond, J., Bhyun, J. H., Choi, J., Jeon, S., Kim, J., Kim, J. S., Ko, S., Kwon, H., Lee, H., Lee, S., Oh, B. H., Oh, S. B., Seo, H., Yang, U. K., Yoon, I., Jang, W., Kang, D. Y., Kang, Y., Kim, D., Kim, S., Ko, B., Lee, J. S. H., Lee, Y., Merlin, J. A., Park, I. C., Roh, Y., Watson, I. J., Yang, S., Ha, S., Yoo, H. D., Choi, M., Kim, M. R., Lee, H., Lee, Y., Yu, I., Beyrouthy, T., Maghrbi, Y., Dreimanis, K., Gaile, A., Pikurs, G., Potrebko, A., Seidel, M., Veckalns, V., Strautnieks, N. R., Ambrozas, M., Juodagalvis, A., Rinkevicius, A., Tamulaitis, G., Bin Norjoharuddeen, N., Yusuff, I., Zolkapli, Z., Benitez, J. F., Castaneda Hernandez, A., Encinas Acosta, H. A., Gallegos Maríñez, L. G., León Coello, M., Murillo Quijada, J. A., Sehrawat, A., Valencia Palomo, L., Ayala, G., Castilla-Valdez, H., De La Cruz-Burelo, E., Heredia-De La Cruz, I., Lopez-Fernandez, R., Mondragon Herrera, C. A., Perez Navarro, D. A., Sánchez Hernández, A., Oropeza Barrera, C., Ramírez García, M., Pedraza, I., Salazar Ibarguen, H. A., Uribe Estrada, C., Bubanja, I., Raicevic, N., Butler, P. H., Ahmad, A., Asghar, M. I., Awais, A., Awan, M. I. M., Hoorani, H. R., Khan, W. A., Avati, V., Grzanka, L., Malawski, M., Bialkowska, H., Bluj, M., Boimska, B., Górski, M., Kazana, M., Szleper, M., Zalewski, P., Bunkowski, K., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski, J., Pozniak, K., Zabolotny, W., Araujo, M., Bastos, D., Beirão Da Cruz E Silva, C., Boletti, A., Bozzo, M., Faccioli, P., Gallinaro, M., Hollar, J., Leonardo, N., Niknejad, T., Pisano, M., Seixas, J., Varela, J., Adzic, P., Milenovic, P., Dordevic, M., Milosevic, J., Rekovic, V., Aguilar-Benitez, M., Alcaraz Maestre, J., Barrio Luna, M., Bedoya, Cristina F., Cepeda, M., Cerrada, M., Colino, N., De La Cruz, B., Delgado Peris, A., Fernández Del Val, D., Fernández Ramos, J. P., Flix, J., Fouz, M. C., Gonzalez Lopez, O., Goy Lopez, S., Hernandez, J. M., Josa, M. I., León Holgado, J., Moran, D., Navarro Tobar, Á., Perez Dengra, C., Pérez-Calero Yzquierdo, A., Puerta Pelayo, J., Redondo, I., Redondo Ferrero, D. D., Romero, L., Sánchez Navas, S., Urda Gómez, L., Vazquez Escobar, J., Willmott, C., de Trocóniz, J. F., Alvarez Gonzalez, B., Cuevas, J., Fernandez Menendez, J., Folgueras, S., Gonzalez Caballero, I., González Fernández, J. R., Palencia Cortezon, E., Ramón Álvarez, C., Rodríguez Bouza, V., Soto Rodríguez, A., Trapote, A., Vico Villalba, C., Bhowmik, S., Blanco Fernández, S., Brochero Cifuentes, J. A., Cabrillo, I. J., Calderon, A., Duarte Campderros, J., Fernandez, M., Fernandez Madrazo, C., Gomez, G., Lasaosa García, C., Martinez Rivero, C., Martinez Ruiz del Arbol, P., Matorras, F., Matorras Cuevas, P., Navarrete Ramos, E., Piedra Gomez, J., Prieels, C., Scodellaro, L., Vila, I., Vizan Garcia, J. M., Jayananda, M. K., Kailasapathy, B., Sonnadara, D. U. J., Wickramarathna, D. D. C., Dharmaratna, W. G. D., Liyanage, K., Perera, N., Wickramage, N., Abbaneo, D., Auffray, E., Auzinger, G., Baechler, J., Barney, D., Bermúdez Martínez, A., Bianco, M., Bilin, B., Bin Anuar, A. A., Bocci, A., Brondolin, E., Caillol, C., Camporesi, T., Cerminara, G., Chernyavskaya, N., Cipriani, M., d’Enterria, D., Dabrowski, A., David, A., De Roeck, A., Defranchis, M. M., Deile, M., Dobson, M., Fallavollita, F., Forthomme, L., Franzoni, G., Funk, W., Giani, S., Gigi, D., Gill, K., Glege, F., Gouskos, L., Haranko, M., Hegeman, J., James, T., Kieseler, J., Kratochwil, N., Laurila, S., Lecoq, P., Leutgeb, E., Lourenço, C., Maier, B., Malgeri, L., Mannelli, M., Marini, A. C., Meijers, F., Mersi, S., Meschi, E., Moortgat, F., Mulders, M., Orfanelli, S., Pantaleo, F., Peruzzi, M., Petrilli, A., Petrucciani, G., Pfeiffer, A., Pierini, M., Piparo, D., Qu, H., Rabady, D., Reales Gutiérrez, G., Rovere, M., Sakulin, H., Scarfi, S., Selvaggi, M., Sharma, A., Silva, P., Sphicas, P., Stahl Leiton, A. G., Steen, A., Summers, S., Treille, D., Tropea, P., Tsirou, A., Walter, D., Wanczyk, J., Wozniak, K. A., Zejdl, P., Zeuner, W. D., Bevilacqua, T., Caminada, L., Ebrahimi, A., Erdmann, W., Horisberger, R., Ingram, Q., Kaestli, H. C., Kotlinski, D., Lange, C., Missiroli, M., Noehte, L., Rohe, T., Aarrestad, T. K., Androsov, K., Backhaus, M., Calandri, A., Datta, K., De Cosa, A., Dissertori, G., Dittmar, M., Donegà, M., Eble, F., Galli, M., Gedia, K., Glessgen, F., Grab, C., Hits, D., Lustermann, W., Lyon, A.-M., Manzoni, R. A., Marchese, L., Martin Perez, C., Mascellani, A., Nessi-Tedaldi, F., Pauss, F., Perovic, V., Pigazzini, S., Ratti, M. G., Reichmann, M., Reissel, C., Reitenspiess, T., Ristic, B., Riti, F., Ruini, D., Sanz Becerra, D. A., Seidita, R., Steggemann, J., Valsecchi, D., Wallny, R., Amsler, C., Bärtschi, P., Botta, C., Brzhechko, D., Canelli, M. F., Cormier, K., De Wit, A., Del Burgo, R., Heikkilä, J. K., Huwiler, M., Jin, W., Jofrehei, A., Kilminster, B., Leontsinis, S., Liechti, S. P., Macchiolo, A., Meiring, P., Mikuni, V. M., Molinatti, U., Neutelings, I., Reimers, A., Robmann, P., Sanchez Cruz, S., Schweiger, K., Senger, M., Takahashi, Y., Adloff, C., Kuo, C. M., Lin, W., Rout, P. K., Tiwari, P. C., Yu, S. S., Ceard, L., Chao, Y., Chen, K. F., Chen, P. s., Hou, W.-S., Kao, Y. w., Khurana, R., Kole, G., Li, Y. y., Lu, R.-S., Paganis, E., Psallidas, A., Thomas-Wilsker, J., Wu, H. y., Yazgan, E., Asawatangtrakuldee, C., Srimanobhas, N., Wachirapusitanand, V., Agyel, D., Boran, F., Demiroglu, Z. S., Dolek, F., Dumanoglu, I., Eskut, E., Guler, Y., Gurpinar Guler, E., Isik, C., Kara, O., Kayis Topaksu, A., Kiminsu, U., Onengut, G., Ozdemir, K., Polatoz, A., Tali, B., Tok, U. G., Turkcapar, S., Uslan, E., Zorbakir, I. S., Ocalan, K., Yalvac, M., Akgun, B., Atakisi, I. O., Gülmez, E., Kaya, M., Kaya, O., Tekten, S., Cakir, A., Cankocak, K., Komurcu, Y., Sen, S., Aydilek, O., Cerci, S., Epshteyn, V., Hacisahinoglu, B., Hos, I., Isildak, B., Kaynak, B., Ozkorucuklu, S., Sert, H., Simsek, C., Sunar Cerci, D., Zorbilmez, C., Boyaryntsev, A., Grynyov, B., Levchuk, L., Anthony, D., Brooke, J. J., Bundock, A., Clement, E., Cussans, D., Flacher, H., Glowacki, M., Goldstein, J., Heath, H. F., Kreczko, L., Krikler, B., Paramesvaran, S., Seif El Nasr-Storey, S., Smith, V. J., Stylianou, N., Walkingshaw Pass, K., White, R., Ball, A. H., Bell, K. W., Belyaev, A., Brew, C., Brown, R. M., Cockerill, D. J. A., Cooke, C., Ellis, K. V., Harder, K., Harper, S., Holmberg, M.-L., Jain, Sh., Linacre, J., Manolopoulos, K., Newbold, D. M., Olaiya, E., Petyt, D., Reis, T., Salvi, G., Schuh, T., Shepherd-Themistocleous, C. H., Tomalin, I. R., Williams, T., Bainbridge, R., Bloch, P., Brown, C. E., Buchmuller, O., Cacchio, V., Carrillo Montoya, C. A., Cepaitis, V., Chahal, G. S., Colling, D., Dancu, J. S., Dauncey, P., Davies, G., Davies, J., Della Negra, M., Fayer, S., Fedi, G., Hall, G., Hassanshahi, M. H., Howard, A., Iles, G., Langford, J., Lyons, L., Magnan, A.-M., Malik, S., Martelli, A., Mieskolainen, M., Nash, J., Pesaresi, M., Radburn-Smith, B. C., Richards, A., Rose, A., Seez, C., Shukla, R., Tapper, A., Uchida, K., Uttley, G. P., Vage, L. H., Virdee, T., Vojinovic, M., Wardle, N., Winterbottom, D., Coldham, K., Cole, J. E., Khan, A., Kyberd, P., Reid, I. D., Abdullin, S., Brinkerhoff, A., Caraway, B., Dittmann, J., Hatakeyama, K., Hiltbrand, J., Kanuganti, A. R., McMaster, B., Saunders, M., Sawant, S., Sutantawibul, C., Toms, M., Wilson, J., Bartek, R., Dominguez, A., Huerta Escamilla, C., Simsek, A. E., Uniyal, R., Vargas Hernandez, A. M., Chudasama, R., Cooper, S. I., Gleyzer, S. V., Perez, C. U., Rumerio, P., Usai, E., West, C., Akpinar, A., Albert, A., Arcaro, D., Cosby, C., Demiragli, Z., Erice, C., Fontanesi, E., Gastler, D., Rohlf, J., Salyer, K., Sperka, D., Spitzbart, D., Suarez, I., Tsatsos, A., Yuan, S., Benelli, G., Coubez, X., Cutts, D., Hadley, M., Heintz, U., Hogan, J. M., Kwon, T., Landsberg, G., Lau, K. T., Li, D., Luo, J., Narain, M., Pervan, N., Sagir, S., Simpson, F., Wong, W. Y., Yan, X., Yu, D., Zhang, W., Abbott, S., Bonilla, J., Brainerd, C., Breedon, R., Calderon De La Barca Sanchez, M., Chertok, M., Conway, J., Cox, P. T., Erbacher, R., Haza, G., Jensen, F., Kukral, O., Mocellin, G., Mulhearn, M., Pellett, D., Regnery, B., Wei, W., Yao, Y., Zhang, F., Bachtis, M., Cousins, R., Datta, A., Hauser, J., Ignatenko, M., Iqbal, M. A., Lam, T., Manca, E., Nash, W. A., Saltzberg, D., Stone, B., Valuev, V., Clare, R., Gordon, M., Hanson, G., Si, W., Branson, J. G., Cittolin, S., Cooperstein, S., Diaz, D., Duarte, J., Gerosa, R., Giannini, L., Guiang, J., Kansal, R., Krutelyov, V., Lee, R., Letts, J., Masciovecchio, M., Mokhtar, F., Pieri, M., Quinnan, M., Sathia Narayanan, B. V., Sharma, V., Tadel, M., Vourliotis, E., Würthwein, F., Xiang, Y., Yagil, A., Brennan, L., Campagnari, C., Citron, M., Collura, G., Dorsett, A., Incandela, J., Kilpatrick, M., Kim, J., Li, A. J., Masterson, P., Mei, H., Oshiro, M., Richman, J., Sarica, U., Schmitz, R., Setti, F., Sheplock, J., Stuart, D., Wang, S., Bornheim, A., Cerri, O., Latorre, A., Lawhorn, J. M., Mao, J., Newman, H. B., Nguyen, T. Q., Spiropulu, M., Vlimant, J. R., Wang, C., Xie, S., Zhu, R. Y., Alison, J., An, S., Andrews, M. B., Bryant, P., Dutta, V., Ferguson, T., Harilal, A., Liu, C., Mudholkar, T., Murthy, S., Paulini, M., Roberts, A., Sanchez, A., Terrill, W., Cumalat, J. P., Ford, W. T., Hassani, A., Karathanasis, G., MacDonald, E., Manganelli, N., Marini, F., Perloff, A., Savard, C., Schonbeck, N., Stenson, K., Ulmer, K. A., Wagner, S. R., Zipper, N., Alexander, J., Bright-Thonney, S., Chen, X., Cranshaw, D. J., Fan, J., Fan, X., Gadkari, D., Hogan, S., Monroy, J., Patterson, J. R., Reichert, J., Reid, M., Ryd, A., Thom, J., Wittich, P., Zou, R., Albrow, M., Alyari, M., Amram, O., Apollinari, G., Apresyan, A., Bauerdick, L. A. T., Berry, D., Berryhill, J., Bhat, P. C., Burkett, K., Butler, J. N., Canepa, A., Cerati, G. B., Cheung, H. W. K., Chlebana, F., Cummings, G., Dickinson, J., Dutta, I., Elvira, V. D., Feng, Y., Freeman, J., Gandrakota, A., Gecse, Z., Gray, L., Green, D., Grünendahl, S., Guerrero, D., Gutsche, O., Harris, R. M., Heller, R., Herwig, T. C., Hirschauer, J., Horyn, L., Jayatilaka, B., Jindariani, S., Johnson, M., Joshi, U., Klijnsma, T., Klima, B., Kwok, K. H. M., Lammel, S., Lincoln, D., Lipton, R., Liu, T., Madrid, C., Maeshima, K., Mantilla, C., Mason, D., McBride, P., Merkel, P., Mrenna, S., Nahn, S., Ngadiuba, J., Noonan, D., Papadimitriou, V., Pastika, N., Pedro, K., Pena, C., Ravera, F., Reinsvold Hall, A., Ristori, L., Sexton-Kennedy, E., Smith, N., Soha, A., Spiegel, L., Stoynev, S., Strait, J., Taylor, L., Tkaczyk, S., Tran, N. V., Uplegger, L., Vaandering, E. W., Zoi, I., Avery, P., Bourilkov, D., Cadamuro, L., Chang, P., Cherepanov, V., Field, R. D., Koenig, E., Kolosova, M., Konigsberg, J., Korytov, A., Lo, K. H., Matchev, K., Menendez, N., Mitselmakher, G., Muthirakalayil Madhu, A., Rawal, N., Rosenzweig, D., Rosenzweig, S., Shi, K., Wang, J., Adams, T., Al Kadhim, A., Askew, A., Bower, N., Habibullah, R., Hagopian, V., Hashmi, R., Kolberg, T., Martinez, G., Prosper, H., Prova, P. R., Viazlo, O., Wulansatiti, M., Yohay, R., Zhang, J., Alsufyani, B., Baarmand, M. M., Butalla, S., Elkafrawy, T., Hohlmann, M., Kumar Verma, R., Rahmani, M., Yumiceva, F., Adams, M. R., Bennett, C., Cavanaugh, R., Dittmer, S., Evdokimov, O., Gerber, C. E., Hofman, D. J., Lee, J. h., Lemos, D. S., Merrit, A. H., Mills, C., Nanda, S., Oh, G., Pilipovic, D., Roy, T., Rudrabhatla, S., Tonjes, M. B., Varelas, N., Wang, X., Ye, Z., Yoo, J., Alhusseini, M., Blend, D., Dilsiz, K., Emediato, L., Karaman, G., Köseyan, O. K., Merlo, J.-P., Mestvirishvili, A., Nachtman, J., Neogi, O., Ogul, H., Onel, Y., Penzo, A., Snyder, C., Tiras, E., Blumenfeld, B., Corcodilos, L., Davis, J., Gritsan, A. V., Kang, L., Kyriacou, S., Maksimovic, P., Roguljic, M., Roskes, J., Sekhar, S., Swartz, M., Vámi, T. Á., Abreu, A., Alcerro Alcerro, L. F., Anguiano, J., Baringer, P., Bean, A., Flowers, Z., King, J., Krintiras, G., Lazarovits, M., Le Mahieu, C., Lindsey, C., Marquez, J., Minafra, N., Murray, M., Nickel, M., Pitt, M., Popescu, S., Rogan, C., Royon, C., Salvatico, R., Sanders, S., Smith, C., Wang, Q., Wilson, G., Allmond, B., Duric, S., Ivanov, A., Kaadze, K., Kalogeropoulos, A., Kim, D., Maravin, Y., Mitchell, T., Nam, K., Natoli, J., Roy, D., Rebassoo, F., Wright, D., Adams, E., Baden, A., Baron, O., Belloni, A., Bethani, A., Chen, Y. m., Eno, S. C., Hadley, N. J., Jabeen, S., Kellogg, R. G., Koeth, T., Lai, Y., Lascio, S., Mignerey, A. C., Nabili, S., Palmer, C., Papageorgakis, C., Wang, L., Wong, K., Bendavid, J., Busza, W., Cali, I. A., Chen, Y., D’Alfonso, M., Eysermans, J., Freer, C., Gomez-Ceballos, G., Goncharov, M., Harris, P., Hoang, D., Kovalskyi, D., Krupa, J., Lavezzo, L., Lee, Y.-J., Long, K., Mironov, C., Paus, C., Roland, C., Roland, G., Rothman, S., Shi, Z., Stephans, G. S. F., Wang, J., Wang, Z., Wyslouch, B., Yang, T. J., Chatterjee, R. M., Crossman, B., Joshi, B. M., Kapsiak, C., Krohn, M., Mahon, D., Mans, J., Revering, M., Rusack, R., Saradhy, R., Schroeder, N., Strobbe, N., Wadud, M. A., Cremaldi, L. M., Bloom, K., Bryson, M., Claes, D. R., Fangmeier, C., Golf, F., Joo, C., Kravchenko, I., Reed, I., Siado, J. E., Snow, G. R., Tabb, W., Wightman, A., Yan, F., Zecchinelli, A. G., Agarwal, G., Bandyopadhyay, H., Hay, L., Iashvili, I., Kharchilava, A., McLean, C., Morris, M., Nguyen, D., Pekkanen, J., Rappoccio, S., Rejeb Sfar, H., Williams, A., Alverson, G., Barberis, E., Haddad, Y., Han, Y., Krishna, A., Li, J., Madigan, G., Marzocchi, B., Morse, D. M., Nguyen, V., Orimoto, T., Parker, A., Skinnari, L., Tishelman-Charny, A., Wang, B., Wood, D., Bhattacharya, S., Bueghly, J., Chen, Z., Gilbert, A., Hahn, K. A., Liu, Y., Monk, D. G., Schmitt, M. H., Taliercio, A., Velasco, M., Band, R., Bucci, R., Cremonesi, M., Das, A., Goldouzian, R., Hildreth, M., Hurtado Anampa, K., Jessop, C., Lannon, K., Lawrence, J., Loukas, N., Lutton, L., Mariano, J., Marinelli, N., Mcalister, I., McCauley, T., Mcgrady, C., Mohrman, K., Moore, C., Musienko, Y., Nelson, H., Ruchti, R., Townsend, A., Wayne, M., Yockey, H., Zarucki, M., Zygala, L., Bylsma, B., Carrigan, M., Durkin, L. S., Hill, C., Joyce, M., Lesauvage, A., Nunez Ornelas, M., Wei, K., Winer, B. L., Yates, B. R., Addesa, F. M., Bouchamaoui, H., Das, P., Dezoort, G., Elmer, P., Frankenthal, A., Greenberg, B., Haubrich, N., Higginbotham, S., Kopp, G., Kwan, S., Lange, D., Loeliger, A., Marlow, D., Ojalvo, I., Olsen, J., Stickland, D., Tully, C., Malik, S., Bakshi, A. S., Barnes, V. E., Chandra, S., Chawla, R., Das, S., Gu, A., Gutay, L., Jones, M., Jung, A. W., Kondratyev, D., Koshy, A. M., Liu, M., Negro, G., Neumeister, N., Paspalaki, G., Piperov, S., Purohit, A., Schulte, J. F., Stojanovic, M., Thieman, J., Wang, F., Xie, W., Dolen, J., Parashar, N., Pathak, A., Acosta, D., Baty, A., Carnahan, T., Dildick, S., Ecklund, K. M., Fernández Manteca, P. J., Freed, S., Gardner, P., Geurts, F. J. M., Kumar, A., Li, W., Miguel Colin, O., Padley, B. P., Redjimi, R., Rotter, J., Yang, S., Yigitbasi, E., Zhang, Y., Bodek, A., de Barbaro, P., Demina, R., Dulemba, J. L., Fallon, C., Garcia-Bellido, A., Hindrichs, O., Khukhunaishvili, A., Parygin, P., Popova, E., Taus, R., Van Onsem, G. P., Goulianos, K., Chiarito, B., Chou, J. P., Gershtein, Y., Halkiadakis, E., Hart, A., Heindl, M., Jaroslawski, D., Karacheban, O., Laflotte, I., Lath, A., Montalvo, R., Nash, K., Osherson, M., Routray, H., Salur, S., Schnetzer, S., Somalwar, S., Stone, R., Thayil, S. A., Thomas, S., Vora, J., Wang, H., Acharya, H., Delannoy, A. G., Fiorendi, S., Holmes, T., Karunarathna, N., Lee, L., Nibigira, E., Spanier, S., Ahmad, M., Bouhali, O., Dalchenko, M., Delgado, A., Eusebi, R., Gilmore, J., Huang, T., Kamon, T., Kim, H., Luo, S., Malhotra, S., Mueller, R., Overton, D., Rathjens, D., Safonov, A., Akchurin, N., Damgov, J., Hegde, V., Lamichhane, K., Lee, S. W., Mengke, T., Muthumuni, S., Peltola, T., Volobouev, I., Whitbeck, A., Appelt, E., Greene, S., Gurrola, A., Johns, W., Kunnawalkam Elayavalli, R., Melo, A., Romeo, F., Sheldon, P., Tuo, S., Velkovska, J., Viinikainen, J., Cardwell, B., Cox, B., Hakala, J., Hirosky, R., Ledovskoy, A., Li, A., Neu, C., Perez Lara, C. E., Karchin, P. E., Aravind, A., Banerjee, S., Black, K., Bose, T., Dasu, S., De Bruyn, I., Everaerts, P., Galloni, C., He, H., Herndon, M., Herve, A., Koraka, C. K., Lanaro, A., Loveless, R., Madhusudanan Sreekala, J., Mallampalli, A., Mohammadi, A., Mondal, S., Parida, G., Pinna, D., Savin, A., Shang, V., Sharma, V., Smith, W. H., Teague, D., Tsoi, H. F., Vetens, W., Warden, A., Afanasiev, S., Andreev, V., Andreev, Yu., Aushev, T., Azarkin, M., Babaev, A., Belyaev, A., Blinov, V., Boos, E., Borshch, V., Budkouski, D., Chadeeva, M., Chekhovsky, V., Danilov, M., Dermenev, A., Dimova, T., Druzhkin, D., Dubinin, M., Dudko, L., Ershov, A., Gavrilov, G., Gavrilov, V., Gninenko, S., Golovtcov, V., Golubev, N., Golutvin, I., Gorbunov, I., Ivanov, Y., Kachanov, V., Kardapoltsev, L., Karjavine, V., Karneyeu, A., Kim, V., Kirakosyan, M., Kirpichnikov, D., Kirsanov, M., Klyukhin, V., Kodolova, O., Konstantinov, D., Korenkov, V., Kozyrev, A., Krasnikov, N., Lanev, A., Levchenko, P., Lukina, O., Lychkovskaya, N., Makarenko, V., Malakhov, A., Matveev, V., Murzin, V., Nikitenko, A., Obraztsov, S., Oreshkin, V., Oskin, A., Palichik, V., Perelygin, V., Petrushanko, S., Popov, V., Radchenko, O., Rusinov, V., Savina, M., Savrin, V., Selivanova, D., Shalaev, V., Shmatov, S., Shulha, S., Skovpen, Y., Slabospitskii, S., Smirnov, V., Snigirev, A., Sosnov, D., Sulimov, V., Tcherniaev, E., Terkulov, A., Teryaev, O., Tlisova, I., Toropin, A., Uvarov, L., Uzunian, A., Vorobyev, A., Voytishin, N., Yuldashev, B. S., Zarubin, A., Zhizhin, I., and Zhokin, A.
Published: 2025
Full Text: View/download PDF

40. A Complete Analysis of the BKZ Lattice Reduction Algorithm

Author: Li, Jianwei and Nguyen, Phong Q.
Published: 2025
Full Text: View/download PDF

41. Loss factor analysis in real-time structural health monitoring using a convolutional neural network: Loss factor analysis in real-time structural health monitoring…

Author: Nguyen, Thanh Q., Vu, Tu B., Shafiabady, Niusha, Nguyen, Thuy T., and Nguyen, Phuoc T.
Published: 2025
Full Text: View/download PDF

42. Proof of the transverse instability of Stokes waves

Author: Creedon, Ryan P., Nguyen, Huy Q., and Strauss, W. A.
Subjects: Mathematics - Analysis of PDEs, Physics - Fluid Dynamics, 35Q31 (Primary), 76E99 (Secondary)
Abstract: A Stokes wave is a traveling free-surface periodic water wave that is constant in the direction transverse to the direction of propagation. In 1981 McLean discovered via numerical methods that Stokes waves at infinite depth are unstable with respect to transverse perturbations of the initial data. Even for a Stokes wave that has very small amplitude $\varepsilon$, we prove rigorously that transverse perturbations, after linearization, will lead to exponential growth in time. To observe this instability, extensive calculations are required all the way up to order $O(\varepsilon^3)$. All previous rigorous results of this type were merely two-dimensional, in the sense that they only treated long-wave perturbations in the longitudinal direction. This is the first rigorous proof of three-dimensional instabilities of Stokes waves., Comment: 44 pages, 1 figure
Published: 2023

43. Slowly traveling gravity waves for Darcy flow: existence and stability of large waves

Author: Brownfield, John and Nguyen, Huy Q.
Subjects: Mathematics - Analysis of PDEs, Physics - Fluid Dynamics
Abstract: We study surface gravity waves for viscous fluid flows governed by Darcy's law. The free boundary is acted upon by an external pressure posited to be in traveling wave form with a periodic profile. It has been proven that for any given speed, small external pressures generate small periodic traveling waves that are asymptotically stable. In this work, we construct a class of slowly traveling waves that are of arbitrary size and asymptotically stable. Our results are valid in all dimensions and for both the finite and infinite depth cases., Comment: 22 pages
Published: 2023

44. xNeuSM: Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks

Author: Nguyen, Duc Q., Nguyen, Thanh Toan, and quan, Tho
Subjects: Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract: Subgraph matching is a challenging problem with a wide range of applications in database systems, biochemistry, and cognitive science. It involves determining whether a given query graph is present within a larger target graph. Traditional graph-matching algorithms provide precise results but face challenges in large graph instances due to the NP-complete problem, limiting their practical applicability. In contrast, recent neural network-based approximations offer more scalable solutions, but often lack interpretable node correspondences. To address these limitations, this article presents xNeuSM: Explainable Neural Subgraph Matching which introduces Graph Learnable Multi-hop Attention Networks (GLeMA) that adaptively learns the parameters governing the attention factor decay for each node across hops rather than relying on fixed hyperparameters. We provide a theoretical analysis establishing error bounds for GLeMA's approximation of multi-hop attention as a function of the number of hops. Additionally, we prove that learning distinct attention decay factors for each node leads to a correct approximation of multi-hop attention. Empirical evaluation on real-world datasets shows that xNeuSM achieves substantial improvements in prediction accuracy of up to 34% compared to approximate baselines and, notably, at least a seven-fold faster query time than exact algorithms. The source code of our implementation is available at https://github.com/martinakaduc/xNeuSM., Comment: 33 pages, 8 figures, 6 tables
Published: 2023

45. Harnessing graph state resources for robust quantum magnetometry under noise

Author: Nguyen, Phu Trong, Le, Trung Kien, Nguyen, Hung Q., and Ho, Le Bin
Subjects: Quantum Physics
Abstract: Precise measurement of magnetic fields is essential for various applications, such as fundamental physics, space exploration, and biophysics. Although recent progress in quantum engineering has assisted in creating advanced quantum magnetometers, there are still ongoing challenges in improving their efficiency and noise resistance. This study focuses on using symmetric graph state resources for quantum magnetometry to enhance measurement precision by analyzing the estimation theory under time-homogeneous and time-inhomogeneous noise models. The results show a significant improvement in estimating both single and multiple Larmor frequencies. In single Larmor frequency estimation, the quantum Fisher information spans a spectrum from the standard quantum limit to the Heisenberg limit within a periodic range of the Larmor frequency, and in the case of multiple Larmor frequencies, it can exceed the standard quantum limit for both noisy cases. This study highlights the potential of graph state-based methods for improving magnetic field measurements under noisy environments., Comment: 11 pages, 7 figures
Published: 2023

46. Large traveling capillary-gravity waves for Darcy flow

Author: Nguyen, Huy Q.
Subjects: Mathematics - Analysis of PDEs, Physics - Fluid Dynamics
Abstract: We study capillary-gravity and capillary surface waves for fluid flows governed by Darcy's law. This includes flows in vertical Hele-Shaw cells and in porous media (the one-phase Muskat problem) with finite or infinite depth. The free boundary is acted upon by an external pressure posited to be in traveling wave form with an arbitrary periodic profile and an amplitude parameter. For any given wave speed, we first prove that there exists a unique local curve of small periodic traveling waves corresponding to small values of the parameter. Then we prove that as the parameter increases but could possibly be bounded, the curve belongs to a connected set $\mathcal{C}$ of traveling waves. The set $\mathcal{C}$ contains traveling waves that either have arbitrarily large gradients or are arbitrarily close to the rigid bottom in the finite depth case. To the best of our knowledge, this is the first construction of large traveling surface waves for a viscous free boundary problem., Comment: An erroneous splitting in the formula (4.18) of the first version is corrected. The main result and method of proof remain unchanged
Published: 2023

47. NIKA2 observations of dust grain evolution from star-forming filament to T-Tauri disk: Preliminary results from NIKA2 observations of the Taurus B211/B213 filament

Author: Nguyen-Luong, Q., Adam, R., Ade, P., Ajeddig, H., André, P., Artis, E., Aussel, H., Beelen, A., Benoît, A., Berta, S., Bing, L., Bourrion, O., Calvo, M., Catalano, A., De Petris, M., Désert, F. -X., Doyle, S., Driessen, E. F. C., Ejlali, G., Gomez, A., Goupy, J., Hanser, C., Katsioli, S., Kéruzoré, F., Kramer, C., Ladjelate, B., Lagache, G., Leclercq, S., Lestrade, J. -F., Macías-Pérez, J. F., Madden, S. C., Maury, A., Mauskopf, P., Mayet, F., Monfardini, A., Moyer-Anin, A., Muñoz-Echeverría, M., Perotto, L., Pisano, G., Ponthieu, N., Revéret, V., Rigby, A. J., Ritacco, A., Romero, C., Roussel, H., Ruppin, F., Schuster, K., Sievers, A., Tucker, C., Zylka, R., Bacmann, A., Duong-Tuan, A., Peretto, N., and Rigby, A.
Subjects: Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract: To understand the evolution of dust properties in molecular clouds in the course of the star formation process, we constrain the changes in the dust emissivity index from star-forming filaments to prestellar and protostellar cores to T Tauri stars. Using the NIKA2 continuum camera on the IRAM 30~m telescope, we observed the Taurus B211/B213 filament at 1.2\,mm and 2\,mm with unprecedented sensitivity and used the resulting maps to derive the dust emissivity index $\beta$. Our sample of 105 objects detected in the $\beta$ map of the B211/B213 filament indicates that, overall, $\beta$ decreases from filament and prestellar cores ($\beta \sim 2\pm0.5$) to protostellar cores ($\beta \sim 1.2 \pm 0.2$) to T-Tauri protoplanetary disk ($\beta < 1$). The averaged dust emissivity index $\beta$ across the B211/B213 filament exhibits a flat ($\beta \sim 2\pm0.3$) profile. This may imply that dust grain sizes are rather homogeneous in the filament, start to grow significantly in size only after the onset of the gravitational contraction/collapse of prestellar cores to protostars, reaching big sizes in T Tauri protoplanetary disks. This evolution from the parent filament to T-Tauri disks happens on a timescale of about 1-2~Myr., Comment: to appear in Proc. of the mm Universe 2023 conference, Grenoble (France), June 2023, published by F. Mayet et al. (Eds), EPJ Web of conferences, EDP Sciences
Published: 2023
Full Text: View/download PDF

48. ALMA-IMF IX: Catalog and Physical Properties of 315 SiO Outflow Candidates in 15 Massive Protoclusters

Author: Towner, A. P. M., Ginsburg, A., Dell'Ova, P., Gusdorf, A., Bontemps, S., Csengeri, T., Galván-Madrid, R., Louvet, F. K., Motte, F., Sanhueza, P., Stutz, A. M., Bally, J., Baug, T., Chen, H. R. V., Cunningham, N., Fernández-López, M., Liu, H. -L., Lu, X., Nony, T., Valeille-Manet, M., Wu, B., Álvarez-Gutiérrez, R. H., Bonfand, M., Di Francesco, J., Nguyen-Luong, Q., Olguin, F., and Whitworth, A. P.
Subjects: Astrophysics - Astrophysics of Galaxies
Abstract: We present a catalog of 315 protostellar outflow candidates detected in SiO J=5-4 in the ALMA-IMF Large Program, observed with ~2000 au spatial resolution, 0.339 km/s velocity resolution, and 2-12 mJy/beam (0.18-0.8 K) sensitivity. We find median outflow masses, momenta, and kinetic energies of ~0.3 M$_{\odot}$, 4 M$_{\odot}$ km/s, and 10$^{45}$ erg, respectively. Median outflow lifetimes are 6,000 years, yielding median mass, momentum, and energy rates of $\dot{M}$ = 10$^{-4.4}$ M$_{\odot}$ yr$^{-1}$, $\dot{P}$ = 10$^{-3.2}$ M$_{\odot}$ km/s yr$^{-1}$, and $\dot{E}$ = 1 L$_{\odot}$. We analyze these outflow properties in the aggregate in each field. We find correlations between field-aggregated SiO outflow properties and total mass in cores (~3$-$5$\sigma$), and no correlations above 3$\sigma$ with clump mass, clump luminosity, or clump luminosity-to-mass ratio. We perform a linear regression analysis and find that the correlation between field-aggregated outflow mass and total clump mass - which has been previously described in the literature - may actually be mediated by the relationship between outflow mass and total mass in cores. We also find that the most massive SiO outflow in each field is typically responsible for only 15-30% of the total outflow mass (60% upper limit). Our data agree well with the established mechanical force-bolometric luminosity relationship in the literature, and our data extend this relationship up to L $\geq$ 10$^6$ L$_{\odot}$ and $\dot{P}$ $\geq$ 1 M$_{\odot}$ km/s yr$^{-1}$. Our lack of correlation with clump L/M is inconsistent with models of protocluster formation in which all protostars start forming at the same time., Comment: 46 pages, 14 figures, 10 tables. This publication has an associated Zenodo entry, which can be found here: https://zenodo.org/records/8350595
Published: 2023

49. A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network

Author: Familiar, Ariana M., Kazerooni, Anahita Fathi, Anderson, Hannah, Lubneuski, Aliaksandr, Viswanathan, Karthik, Breslow, Rocky, Khalili, Nastaran, Bagheri, Sina, Haldar, Debanjan, Kim, Meen Chul, Arif, Sherjeel, Madhogarhia, Rachel, Nguyen, Thinh Q., Frenkel, Elizabeth A., Helili, Zeinab, Harrison, Jessica, Farahani, Keyvan, Linguraru, Marius George, Bagci, Ulas, Velichko, Yury, Stevens, Jeffrey, Leary, Sarah, Lober, Robert M., Campion, Stephani, Smith, Amy A., Morinigo, Denise, Rood, Brian, Diamond, Kimberly, Pollack, Ian F., Williams, Melissa, Vossough, Arastoo, Ware, Jeffrey B., Mueller, Sabine, Storm, Phillip B., Heath, Allison P., Waanders, Angela J., Lilly, Jena V., Mason, Jennifer L., Resnick, Adam C., and Nabavizadeh, Ali
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract: Pediatric brain and spinal cancers remain the leading cause of cancer-related death in children. Advancements in clinical decision-support in pediatric neuro-oncology utilizing the wealth of radiology imaging data collected through standard care, however, has significantly lagged other domains. Such data is ripe for use with predictive analytics such as artificial intelligence (AI) methods, which require large datasets. To address this unmet need, we provide a multi-institutional, large-scale pediatric dataset of 23,101 multi-parametric MRI exams acquired through routine care for 1,526 brain tumor patients, as part of the Children's Brain Tumor Network. This includes longitudinal MRIs across various cancer diagnoses, with associated patient-level clinical information, digital pathology slides, as well as tissue genotype and omics data. To facilitate downstream analysis, treatment-na\"ive images for 370 subjects were processed and released through the NCI Childhood Cancer Data Initiative via the Cancer Data Service. Through ongoing efforts to continuously build these imaging repositories, our aim is to accelerate discovery and translational AI models with real-world data, to ultimately empower precision medicine for children.
Published: 2023

50. Hydrogel crosslinking modulates macrophages, fibroblasts, and their communication, during wound healing

Author: Butenko, Sergei, Nagalla, Raji R, Guerrero-Juarez, Christian F, Palomba, Francesco, David, Li-Mor, Nguyen, Ronald Q, Gay, Denise, Almet, Axel A, Digman, Michelle A, Nie, Qing, Scumpia, Philip O, Plikus, Maksim V, and Liu, Wendy F
Subjects: Engineering, Biomedical Engineering, Biotechnology, Wound Healing and Care, 2.1 Biological and endogenous factors, Animals, Hydrogels, Wound Healing, Fibroblasts, Macrophages, Mice, Female, Cell Communication, Biocompatible Materials, RANK Ligand, Mice, Inbred C57BL, Cross-Linking Reagents, Gelatin, Inflammation
Abstract: Biomaterial wound dressings, such as hydrogels, interact with host cells to regulate tissue repair. This study investigates how crosslinking of gelatin-based hydrogels influences immune and stromal cell behavior and wound healing in female mice. We observe that softer, lightly crosslinked hydrogels promote greater cellular infiltration and result in smaller scars compared to stiffer, heavily crosslinked hydrogels. Using single-cell RNA sequencing, we further show that heavily crosslinked hydrogels increase inflammation and lead to the formation of a distinct macrophage subpopulation exhibiting signs of oxidative activity and cell fusion. Conversely, lightly crosslinked hydrogels are more readily taken up by macrophages and integrated within the tissue. The physical properties differentially affect macrophage and fibroblast interactions, with heavily crosslinked hydrogels promoting pro-fibrotic fibroblast activity that drives macrophage fusion through RANKL signaling. These findings suggest that tuning the physical properties of hydrogels can guide cellular responses and improve healing, offering insights for designing better biomaterials for wound treatment.
Published: 2024

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Region

Database

Publisher

11,680 results on '"Nguyen A. Q."'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources