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345 results on '"Agostinelli, Andrea"'

1. Diversity-Rewarded CFG Distillation

Author

Cideron, Geoffrey, Agostinelli, Andrea, Ferret, Johan, Girgin, Sertan, Elie, Romuald, Bachem, Olivier, Perrin, Sarah, and Ramé, Alexandre

Subjects
Computer Science - Machine Learning
Abstract

Generative models are transforming creative domains such as music generation, with inference-time strategies like Classifier-Free Guidance (CFG) playing a crucial role. However, CFG doubles inference cost while limiting originality and diversity across generated contents. In this paper, we introduce diversity-rewarded CFG distillation, a novel finetuning procedure that distills the strengths of CFG while addressing its limitations. Our approach optimises two training objectives: (1) a distillation objective, encouraging the model alone (without CFG) to imitate the CFG-augmented predictions, and (2) an RL objective with a diversity reward, promoting the generation of diverse outputs for a given prompt. By finetuning, we learn model weights with the ability to generate high-quality and diverse outputs, without any inference overhead. This also unlocks the potential of weight-based model merging strategies: by interpolating between the weights of two models (the first focusing on quality, the second on diversity), we can control the quality-diversity trade-off at deployment time, and even further boost performance. We conduct extensive experiments on the MusicLM (Agostinelli et al., 2023) text-to-music generative model, where our approach surpasses CFG in terms of quality-diversity Pareto optimality. According to human evaluators, our finetuned-then-merged model generates samples with higher quality-diversity than the base model augmented with CFG. Explore our generations at https://google-research.github.io/seanet/musiclm/diverse_music/.

Published
2024

2. MAD Speech: Measures of Acoustic Diversity of Speech

Author

Futeral, Matthieu, Agostinelli, Andrea, Tagliasacchi, Marco, Zeghidour, Neil, and Kharitonov, Eugene

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Computation and Language
Abstract

Generative spoken language models produce speech in a wide range of voices, prosody, and recording conditions, seemingly approaching the diversity of natural speech. However, the extent to which generated speech is acoustically diverse remains unclear due to a lack of appropriate metrics. We address this gap by developing lightweight metrics of acoustic diversity, which we collectively refer to as MAD Speech. We focus on measuring five facets of acoustic diversity: voice, gender, emotion, accent, and background noise. We construct the metrics as a composition of specialized, per-facet embedding models and an aggregation function that measures diversity within the embedding space. Next, we build a series of datasets with a priori known diversity preferences for each facet. Using these datasets, we demonstrate that our proposed metrics achieve a stronger agreement with the ground-truth diversity than baselines. Finally, we showcase the applicability of our proposed metrics across several real-life evaluation scenarios. MAD Speech will be made publicly accessible.

Published
2024

3. MusicRL: Aligning Music Generation to Human Preferences

Author

Cideron, Geoffrey, Girgin, Sertan, Verzetti, Mauro, Vincent, Damien, Kastelic, Matej, Borsos, Zalán, McWilliams, Brian, Ungureanu, Victor, Bachem, Olivier, Pietquin, Olivier, Geist, Matthieu, Hussenot, Léonard, Zeghidour, Neil, and Agostinelli, Andrea

Subjects
Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

We propose MusicRL, the first music generation system finetuned from human feedback. Appreciation of text-to-music models is particularly subjective since the concept of musicality as well as the specific intention behind a caption are user-dependent (e.g. a caption such as "upbeat work-out music" can map to a retro guitar solo or a techno pop beat). Not only this makes supervised training of such models challenging, but it also calls for integrating continuous human feedback in their post-deployment finetuning. MusicRL is a pretrained autoregressive MusicLM (Agostinelli et al., 2023) model of discrete audio tokens finetuned with reinforcement learning to maximise sequence-level rewards. We design reward functions related specifically to text-adherence and audio quality with the help from selected raters, and use those to finetune MusicLM into MusicRL-R. We deploy MusicLM to users and collect a substantial dataset comprising 300,000 pairwise preferences. Using Reinforcement Learning from Human Feedback (RLHF), we train MusicRL-U, the first text-to-music model that incorporates human feedback at scale. Human evaluations show that both MusicRL-R and MusicRL-U are preferred to the baseline. Ultimately, MusicRL-RU combines the two approaches and results in the best model according to human raters. Ablation studies shed light on the musical attributes influencing human preferences, indicating that text adherence and quality only account for a part of it. This underscores the prevalence of subjectivity in musical appreciation and calls for further involvement of human listeners in the finetuning of music generation models.

Published
2024

4. Brain2Music: Reconstructing Music from Human Brain Activity

Author

Denk, Timo I., Takagi, Yu, Matsuyama, Takuya, Agostinelli, Andrea, Nakai, Tomoya, Frank, Christian, and Nishimoto, Shinji

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

The process of reconstructing experiences from human brain activity offers a unique lens into how the brain interprets and represents the world. In this paper, we introduce a method for reconstructing music from brain activity, captured using functional magnetic resonance imaging (fMRI). Our approach uses either music retrieval or the MusicLM music generation model conditioned on embeddings derived from fMRI data. The generated music resembles the musical stimuli that human subjects experienced, with respect to semantic properties like genre, instrumentation, and mood. We investigate the relationship between different components of MusicLM and brain activity through a voxel-wise encoding modeling analysis. Furthermore, we discuss which brain regions represent information derived from purely textual descriptions of music stimuli. We provide supplementary material including examples of the reconstructed music at https://google-research.github.io/seanet/brain2music, Comment: Preprint; 21 pages; supplementary material: https://google-research.github.io/seanet/brain2music

Published
2023

5. SingSong: Generating musical accompaniments from singing

Author

Donahue, Chris, Caillon, Antoine, Roberts, Adam, Manilow, Ethan, Esling, Philippe, Agostinelli, Andrea, Verzetti, Mauro, Simon, Ian, Pietquin, Olivier, Zeghidour, Neil, and Engel, Jesse

Subjects
Computer Science - Sound, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Multimedia, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

We present SingSong, a system that generates instrumental music to accompany input vocals, potentially offering musicians and non-musicians alike an intuitive new way to create music featuring their own voice. To accomplish this, we build on recent developments in musical source separation and audio generation. Specifically, we apply a state-of-the-art source separation algorithm to a large corpus of music audio to produce aligned pairs of vocals and instrumental sources. Then, we adapt AudioLM (Borsos et al., 2022) -- a state-of-the-art approach for unconditional audio generation -- to be suitable for conditional "audio-to-audio" generation tasks, and train it on the source-separated (vocal, instrumental) pairs. In a pairwise comparison with the same vocal inputs, listeners expressed a significant preference for instrumentals generated by SingSong compared to those from a strong retrieval baseline. Sound examples at https://g.co/magenta/singsong

Published
2023

6. MusicLM: Generating Music From Text

Author

Agostinelli, Andrea, Denk, Timo I., Borsos, Zalán, Engel, Jesse, Verzetti, Mauro, Caillon, Antoine, Huang, Qingqing, Jansen, Aren, Roberts, Adam, Tagliasacchi, Marco, Sharifi, Matt, Zeghidour, Neil, and Frank, Christian

Subjects
Computer Science - Sound, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

We introduce MusicLM, a model generating high-fidelity music from text descriptions such as "a calming violin melody backed by a distorted guitar riff". MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and it generates music at 24 kHz that remains consistent over several minutes. Our experiments show that MusicLM outperforms previous systems both in audio quality and adherence to the text description. Moreover, we demonstrate that MusicLM can be conditioned on both text and a melody in that it can transform whistled and hummed melodies according to the style described in a text caption. To support future research, we publicly release MusicCaps, a dataset composed of 5.5k music-text pairs, with rich text descriptions provided by human experts., Comment: Supplementary material at https://google-research.github.io/seanet/musiclm/examples and https://kaggle.com/datasets/googleai/musiccaps

Published
2023

7. How stable are Transferability Metrics evaluations?

Author

Agostinelli, Andrea, Pándy, Michal, Uijlings, Jasper, Mensink, Thomas, and Ferrari, Vittorio

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Transferability metrics is a maturing field with increasing interest, which aims at providing heuristics for selecting the most suitable source models to transfer to a given target dataset, without fine-tuning them all. However, existing works rely on custom experimental setups which differ across papers, leading to inconsistent conclusions about which transferability metrics work best. In this paper we conduct a large-scale study by systematically constructing a broad range of 715k experimental setup variations. We discover that even small variations to an experimental setup lead to different conclusions about the superiority of a transferability metric over another. Then we propose better evaluations by aggregating across many experiments, enabling to reach more stable conclusions. As a result, we reveal the superiority of LogME at selecting good source datasets to transfer from in a semantic segmentation scenario, NLEEP at selecting good source architectures in an image classification scenario, and GBC at determining which target task benefits most from a given source model. Yet, no single transferability metric works best in all scenarios., Comment: ECCV 2022

Published
2022

8. Transferability Metrics for Selecting Source Model Ensembles

Author

Agostinelli, Andrea, Uijlings, Jasper, Mensink, Thomas, and Ferrari, Vittorio

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

We address the problem of ensemble selection in transfer learning: Given a large pool of source models we want to select an ensemble of models which, after fine-tuning on the target training set, yields the best performance on the target test set. Since fine-tuning all possible ensembles is computationally prohibitive, we aim at predicting performance on the target dataset using a computationally efficient transferability metric. We propose several new transferability metrics designed for this task and evaluate them in a challenging and realistic transfer learning setup for semantic segmentation: we create a large and diverse pool of source models by considering 17 source datasets covering a wide variety of image domain, two different architectures, and two pre-training schemes. Given this pool, we then automatically select a subset to form an ensemble performing well on a given target dataset. We compare the ensemble selected by our method to two baselines which select a single source model, either (1) from the same pool as our method; or (2) from a pool containing large source models, each with similar capacity as an ensemble. Averaged over 17 target datasets, we outperform these baselines by 6.0% and 2.5% relative mean IoU, respectively.

Published
2021

9. Transferability Estimation using Bhattacharyya Class Separability

Author

Pándy, Michal, Agostinelli, Andrea, Uijlings, Jasper, Ferrari, Vittorio, and Mensink, Thomas

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Transfer learning has become a popular method for leveraging pre-trained models in computer vision. However, without performing computationally expensive fine-tuning, it is difficult to quantify which pre-trained source models are suitable for a specific target task, or, conversely, to which tasks a pre-trained source model can be easily adapted to. In this work, we propose Gaussian Bhattacharyya Coefficient (GBC), a novel method for quantifying transferability between a source model and a target dataset. In a first step we embed all target images in the feature space defined by the source model, and represent them with per-class Gaussians. Then, we estimate their pairwise class separability using the Bhattacharyya coefficient, yielding a simple and effective measure of how well the source model transfers to the target task. We evaluate GBC on image classification tasks in the context of dataset and architecture selection. Further, we also perform experiments on the more complex semantic segmentation transferability estimation task. We demonstrate that GBC outperforms state-of-the-art transferability metrics on most evaluation criteria in the semantic segmentation settings, matches the performance of top methods for dataset transferability in image classification, and performs best on architecture selection problems for image classification., Comment: Accepted for CVPR 2022

Published
2021

10. Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control

Author

Sarrico, Marta, Arulkumaran, Kai, Agostinelli, Andrea, Richemond, Pierre, and Bharath, Anil Anthony

Subjects
Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning
Abstract

Deep networks have enabled reinforcement learning to scale to more complex and challenging domains, but these methods typically require large quantities of training data. An alternative is to use sample-efficient episodic control methods: neuro-inspired algorithms which use non-/semi-parametric models that predict values based on storing and retrieving previously experienced transitions. One way to further improve the sample efficiency of these approaches is to use more principled exploration strategies. In this work, we therefore propose maximum entropy mellowmax episodic control (MEMEC), which samples actions according to a Boltzmann policy with a state-dependent temperature. We demonstrate that MEMEC outperforms other uncertainty- and softmax-based exploration methods on classic reinforcement learning environments and Atari games, achieving both more rapid learning and higher final rewards., Comment: Workshop on Biological and Artificial Reinforcement Learning, NeurIPS 2019

Published
2019

11. Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means

Author

Agostinelli, Andrea, Arulkumaran, Kai, Sarrico, Marta, Richemond, Pierre, and Bharath, Anil Anthony

Subjects
Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning
Abstract

Recently, neuro-inspired episodic control (EC) methods have been developed to overcome the data-inefficiency of standard deep reinforcement learning approaches. Using non-/semi-parametric models to estimate the value function, they learn rapidly, retrieving cached values from similar past states. In realistic scenarios, with limited resources and noisy data, maintaining meaningful representations in memory is essential to speed up the learning and avoid catastrophic forgetting. Unfortunately, EC methods have a large space and time complexity. We investigate different solutions to these problems based on prioritising and ranking stored states, as well as online clustering techniques. We also propose a new dynamic online k-means algorithm that is both computationally-efficient and yields significantly better performance at smaller memory sizes; we validate this approach on classic reinforcement learning environments and Atari games., Comment: Workshop on Biological and Artificial Reinforcement Learning, NeurIPS 2019

Published
2019

13. [Fever of Unknown Origin in a Patient Administered With Bacillus Calmette-Guérin (BCG) to Treat Urothelial Vesical Carcinoma in Situ]

Author

Ghiringhelli, Paolo, primary, Macchi, Federica, additional, Ciola, Mariella, additional, Sala, Girolamo, additional, Valvo, Beatrice, additional, Agostinelli, Andrea, additional, Bellintani, Lorenzo, additional, Rizzo, Gaetano Emanuele, additional, Provisione, Michela, additional, Zaza, Michela, additional, Diana, Alessandro, additional, and Ferrarese, Maurizio, additional

Published
2023
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14. Transcatheter Aortic Valve Implantation in Patients With Advanced Chronic Kidney Disease

Author

Conrotto, Federico, Salizzoni, Stefano, Andreis, Alessandro, D'Ascenzo, Fabrizio, D'Onofrio, Augusto, Agrifoglio, Marco, Chieffo, Alaide, Colombo, Antonio, Rapetto, Filippo, Santini, Francesco, Tarantini, Giuseppe, Gabbieri, Davide, Savini, Carlo, Immè, Sebastiano, Ribichini, Flavio, Valsecchi, Orazio, Aiello, Marco, Lixi, Giovanni, Iadanza, Alessandro, Pompei, Esmeralda, Stolcova, Miroslava, Ornaghi, Diego, Minati, Alessandro, Cassese, Mauro, Martinelli, Gian Luca, Sbarra, Pierluigi, Agostinelli, Andrea, Audo, Andrea, Pieroni, Andrea, Fiorilli, Rosario, Gerosa, Gino, Rinaldi, Mauro, and Gaita, Fiorenzo

Published
2017
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16. Pulmonary Complications in a Patient with Common Variable Hypogammaglobulinemia

Author

Ghiringhelli, Paolo, primary, Foieni, Fabrizio, additional, Sala, Girolamo, additional, Diana, Alessandro, additional, Valvo, Beatrice, additional, Ciola, Mariella, additional, Zaza, Michele, additional, Bertolini, Roberto, additional, Simoni, Cinzia, additional, Bellintani, Lorenzo, additional, Agostinelli, Andrea, additional, Macchi, Federica, additional, Limbiati, Sara, additional, and Provisione, Michela, additional

Published
2023
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20. Febbre di origine ignota in paziente trattato con il Bacillo di Calmette-Guérin (BCG) per carcinoma uroteliale vescicale in situ.

Author

Ghiringhelli, Paolo, Macchi, Federica, Ciola, Mariella, Sala, Girolamo, Valvo, Beatrice, Agostinelli, Andrea, Bellintani, Lorenzo, Rizzo, Gaetano Emanuele, Provisione, Michela, Zaza, Michela, Diana, Alessandro, and Ferrarese, Maurizio

Subjects
TUBERCULOSIS prevention, MYCOBACTERIUM, FEVER, IMMUNIZATION, BCG vaccines, MEDICAL research
Abstract

Koch's Bacillus bovis (Mycobacterium bovis) was made avirulent by special culture conditions, i.e., 230 passages on medium containing potatoes treated with bile salts. It has been used mainly to prevent tuberculosis. The vaccine was named after the bacteriologist Albert Calmette and the veterinarian Camille Guérin, i.e., Bacillus Calmette-Guérin (BCG). These researchers worked at the Pasteur Institute in Lille and launched the vaccine in 1921. Recently, BCG was used also for its non-specif ic immunostimulant action. Intravesical administration of BCG is an adjunctive therapy for the treatment of bladder cancer, which does not invade the muscle wall. We will discuss the clinical case of a patient who had fever of unknown origin for about 2 months and was resistant to treatment with multiple lines of antibiotics. [ABSTRACT FROM AUTHOR]

Published
2023
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21. Zoo Investigations: Is This Field Trip in the Cards for Your Students?

Author

Agostinelli, Andrea J. and Krockover, Gerald H.

Abstract

Teachers are being asked to provide students with activities that are relevant, interrelated, and challenging. This article describes an activity, Zoo Investigation Cards, that place students in an investigative problem-solving situation and allows them to observe living organisms in the complex system of their natural habitat. (ZWH)

Published
1991

24. A Risk Score Proposal for Covid-19 in Nursing Homes

Author

Raimondi, Ambra, primary, Poma, Gianluigi, additional, Zanaboni, Domenico, additional, Dellafiore, Carolina, additional, Above, Elisabetta, additional, Agostinelli, Andrea, additional, Klersy, Catherine, additional, Ferretti, Virginia Valeria, additional, Grugnetti, Anna Maria, additional, Falconeri, Andrea, additional, Infantino, Vittoria, additional, Sega, Lorena, additional, Meroni, Valeria, additional, Piralla, Antonio, additional, Baldanti, Fausto, additional, and Filice, Carlo, additional

Published
2021
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25. Measurement of prompt J/ψ and beauty hadron production cross sections at mid-rapidity in pp collisions at $ \sqrt{s}=7 $ TeV

Author

Abelev, Betty, Adam, Jaroslav, Adamova, Dagmar, Adare, Andrew Marshall, Aggarwal, Madan, Rinella, Gianluca Aglieri, Agocs, Andras Gabor, Agostinelli, Andrea, Salazar, Saul Aguilar, Ahammed, Zubayer, Ahmad, Arshad, Ahmad, Nazeer, Ahn, Sul-Ah, Ahn, Sang Un, Akindinov, Alexander, Aleksandrov, Dmitry, Alessandro, Bruno, Molina, Jose Ruben Alfaro, Alici, Andrea, Alkin, Anton, Avina, Erick Jonathan Almaraz, Alme, Johan, Alt, Torsten, Altini, Valerio, Altinpinar, Sedat, Altsybeev, Igor, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Anielski, Jonas, Anson, Christopher Daniel, Anticic, Tome, Antinori, Federico, Antonioli, Pietro, Aphecetche, Laurent Bernard, Appelshauser, Harald, Arbor, Nicolas, Arcelli, Silvia, Arend, Andreas, Armesto, Nestor, Arnaldi, Roberta, Aronsson, Tomas Robert, Arsene, Ionut Cristian, Arslandok, Mesut, Asryan, Andzhey, Augustinus, Andre, Averbeck, Ralf Peter, Awes, Terry, Aysto, Juha Heikki, Azmi, Mohd Danish, Bach, Matthias Jakob, Badala, Angela, Baek, Yong Wook, Bailhache, Raphaelle Marie, Bala, Renu, Ferroli, Rinaldo Baldini, Baldisseri, Alberto, Baldit, Alain, Dos Santos Pedrosa, Fernando Baltasar, Ban, Jaroslav, Baral, Rama Chandra, Barbera, Roberto, Barile, Francesco, Barnafoldi, Gergely Gabor, Barnby, Lee Stuart, Barret, Valerie, Bartke, Jerzy Gustaw, Basile, Maurizio, Bastid, Nicole, Basu, Sumit, Bathen, Bastian, Batigne, Guillaume, Batyunya, Boris, Baumann, Christoph Heinrich, Bearden, Ian Gardner, Beck, Hans, Behera, Nirbhay Kumar, Belikov, Iouri, Bellini, Francesca, Bellwied, Rene, Belmont-Moreno, Ernesto, Bencedi, Gyula, Beole, Stefania, Berceanu, Ionela, Bercuci, Alexandru, Berdnikov, Yaroslav, Berenyi, Daniel, Bergognon, Anais Annick Erica, Berzano, Dario, Betev, Latchezar, Bhasin, Anju, Bhati, Ashok Kumar, Bhom, Jihyun, Bianchi, Livio, Bianchi, Nicola, Bianchin, Chiara, Bielcik, Jaroslav, Bielcikova, Jana, Bilandzic, Ante, Bjelogrlic, Sandro, Blanco, F., Blanco, Francesco, Blau, Dmitry, Blume, Christoph, Boccioli, Marco, Bock, Nicolas, Boettger, Stefan, Bogdanov, Alexey, Boggild, Hans, Bogolyubsky, Mikhail, Boldizsar, Laszlo, Bombara, Marek, Book, Julian, Borel, Herve, Borissov, Alexander, Bose, Suvendu Nath, Bossu, Francesco, Botje, Michiel, Boyer, Bruno Alexandre, Braidot, Ermes, Braun-Munzinger, Peter, Bregant, Marco, Breitner, Timo Gunther, Browning, Tyler Allen, Broz, Michal, Brun, Rene, Bruna, Elena, Bruno, Giuseppe Eugenio, Budnikov, Dmitry, Buesching, Henner, Bufalino, Stefania, Bugaiev, Kyrylo, Busch, Oliver, Buthelezi, Edith Zinhle, Orduna, Diego Caballero, Caffarri, Davide, Cai, Xu, Caines, Helen Louise, Villar, Ernesto Calvo, Camerini, Paolo, Roman, Veronica Canoa, Romeo, Giovanni Cara, Carena, Francesco, Carena, Wisla, Filho, Nelson Carlin, Carminati, Federico, Montoya, Camilo Andres Carrillo, Diaz, Amaya Ofelia Casanova, Castellanos, Javier Ernesto Castillo, Hernandez, Juan Francisco Castillo, Casula, Ester Anna Rita, Catanescu, Vasile, Cavicchioli, Costanza, Sanchez, Cesar Ceballos, Cepila, Jan, Cerello, Piergiorgio, Chang, Beomsu, Chapeland, Sylvain, Charvet, Jean-Luc Fernand, Chattopadhyay, Subhasis, Chattopadhyay, Sukalyan, Chawla, Isha, Cherney, Michael Gerard, Cheshkov, Cvetan, Cheynis, Brigitte, Barroso, Vasco Miguel Chibante, Chinellato, David, Chochula, Peter, Chojnacki, Marek, Choudhury, Subikash, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter, Chujo, Tatsuya, Chung, Suh-Urk, Cicalo, Corrado, Cifarelli, Luisa, Cindolo, Federico, Cleymans, Jean Willy Andre, Coccetti, Fabrizio, Colamaria, Fabio, Colella, Domenico, Balbastre, Gustavo Conesa, del Valle, Zaida Conesa, Constantin, Paul, Contin, Giacomo, Contreras, Jesus Guillermo, Cormier, Thomas Michael, Morales, Yasser Corrales, Cortese, Pietro, Maldonado, Ismael Cortes, Cosentino, Mauro Rogerio, Costa, Filippo, Cotallo, Manuel Enrique, Crescio, Elisabetta, Crochet, Philippe, Alaniz, Emilia Cruz, Cuautle, Eleazar, Cunqueiro, Leticia, Dainese, Andrea, Dalsgaard, Hans Hjersing, Danu, Andrea, Das, Debasish, Das, Indranil, Das, Kushal, Dash, Sadhana, Dash, Ajay Kumar, De, Sudipan, de Barros, Gabriel, De Caro, Annalisa, de Cataldo, Giacinto, de Cuveland, Jan, De Falco, Alessandro, De Gruttola, Daniele, Delagrange, Hugues, Deloff, Andrzej, Demanov, Vyacheslav, De Marco, Nora, Denes, Ervin, De Pasquale, Salvatore, Deppman, Airton, D’Erasmo, Ginevra, de Rooij, Raoul Stefan, Corchero, Miguel Angel Diaz, Di Bari, Domenico, Di Giglio, Carmelo, Dietel, Thomas, Di Liberto, Sergio, Di Mauro, Antonio, Di Nezza, Pasquale, Divia, Roberto, Djuvsland, Oeystein, Dobrin, Alexandru Florin, Dobrowolski, Tadeusz Antoni, Dominguez, Isabel, Donigus, Benjamin, Dordic, Olja, Driga, Olga, Dubey, Anand Kumar, Ducroux, Laurent, Dupieux, Pascal, Majumdar, Mihir Ranjan Dutta, Majumdar, A. K. 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B., Kurepin, A., Kuryakin, Alexey, Kushpil, Vasily, Kushpil, Svetlana, Kvaerno, Henning, Kweon, Min Jung, Kwon, Youngil, de Guevara, Pedro Ladron, Lakomov, Igor, Langoy, Rune, La Pointe, Sarah Louise, Lara, Camilo Ernesto, Lardeux, Antoine Xavier, La Rocca, Paola, Lazzeroni, Cristina, Lea, Ramona, Le Bornec, Yves, Lechman, Mateusz, Lee, Sung Chul, Lee, Ki Sang, Lee, Graham Richard, Lefevre, Frederic, Lehnert, Joerg Walter, Leistam, Lars, Lenhardt, Matthieu Laurent, Lenti, Vito, Leon, Hermes, Leoncino, Marco, Monzon, Ildefonso Leon, Vargas, Hermes Leon, Levai, Peter, Lien, Jorgen, Lietava, Roman, Lindal, Svein, Lindenstruth, Volker, Lippmann, Christian, Lisa, Michael Annan, Liu, Lijiao, Loenne, Per-Ivar, Loggins, Vera, Loginov, Vitaly, Lohn, Stefan Bernhard, Lohner, Daniel, Loizides, Constantinos, Loo, Kai Krister, Lopez, Xavier Bernard, Torres, Ernesto Lopez, Lovhoiden, Gunnar, Lu, Xianguo, Luettig, Philipp, Lunardon, Marcello, Luo, Jiebin, Luparello, Grazia, Luquin, Lionel, Luzzi, 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Terrevoli, Cristina, Thader, Jochen Mathias, Thomas, Deepa, Tieulent, Raphael Noel, Timmins, Anthony, Tlusty, David, Toia, Alberica, Torii, Hisayuki, Toscano, Luca, Truesdale, David Christopher, Trzaska, Wladyslaw Henryk, Tsuji, Tomoya, Tumkin, Alexandr, Turrisi, Rosario, Tveter, Trine Spedstad, Ulery, Jason Glyndwr, Ullaland, Kjetil, Ulrich, Jochen, Uras, Antonio, Urban, Jozef, Urciuoli, Guido Marie, Usai, Gianluca, Vajzer, Michal, Vala, Martin, Palomo, Lizardo Valencia, Vallero, Sara, van der Kolk, Naomi, Vyvre, Pierre Vande, van Leeuwen, Marco, Vannucci, Luigi, Vargas, Aurora Diozcora, Varma, Raghava, Vasileiou, Maria, Vasiliev, Andrey, Vechernin, Vladimir, Veldhoen, Misha, Venaruzzo, Massimo, Vercellin, Ermanno, Vergara, Sergio, Vernet, Renaud, Verweij, Marta, Vickovic, Linda, Viesti, Giuseppe, Vikhlyantsev, Oleg, Vilakazi, Zabulon, Baillie, Orlando Villalobos, Vinogradov, Alexander, Vinogradov, Leonid, Vinogradov, Yury, Virgili, Tiziano, Viyogi, Yogendra, Vodopianov, Alexander, Voloshin, Kirill, Voloshin, Sergey, Volpe, Giacomo, von Haller, Barthelemy, Vranic, Danilo, vrebekk, Gaute, Vrlakova, Janka, Vulpescu, Bogdan, Vyushin, Alexey, Wagner, Vladimir, Wagner, Boris, Wan, Renzhuo, Wang, Mengliang, Wang, Dong, Wang, Yifei, Wang, Yaping, Watanabe, Kengo, Weber, Michael, Wessels, Johannes, Westerhoff, Uwe, Wiechula, Jens, Wikne, Jon, Wilde, Martin Rudolf, Wilk, Grzegorz Andrzej, Wilk, Alexander, Williams, Crispin, Windelband, Bernd Stefan, Karampatsos, Leonidas Xaplanteris, Yaldo, Chris G, Yamaguchi, Yorito, Yang, Hongyan, Yang, Shiming, Yasnopolsky, Stanislav, Yi, JunGyu, Yin, Zhongbao, Yoo, In-Kwon, Yoon, Jongik, Yu, Weilin, Yuan, Xianbao, Yushmanov, Igor, Zach, Cenek, Zampolli, Chiara, Zaporozhets, Sergey, Zarochentsev, Andrey, Zavada, Petr, Zaviyalov, Nikolai, Zbroszczyk, Hanna Paulina, Zelnicek, Pierre, Zgura, Sorin Ion, Zhalov, Mikhail, Zhang, Xiaoming, Zhang, Haitao, Zhou, Fengchu, Zhou, Daicui, Zhou, You, Zhu, Jianhui, Zhu, Jianlin, Zhu, Xiangrong, Zichichi, Antonino, Zimmermann, Alice, Zinovjev, Gennady, Zoccarato, Yannick Denis, Zynovyev, Mykhaylo, Zyzak, Maksym, and The ALICE Collaboration

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2012
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26. Underlying Event measurements in pp collisions at $ \sqrt {s} = 0.9 $ and 7 TeV with the ALICE experiment at the LHC

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Abelev, Betty, Quintana, Arian Abrahantes, Adamova, Dagmar, Adare, Andrew Marshall, Aggarwal, Madan, Rinella, Gianluca Aglieri, Agocs, Andras Gabor, Agostinelli, Andrea, Salazar, Saul Aguilar, Ahammed, Zubayer, Ahmad, Nazeer, Ahmad, Arshad, Ahn, Sang Un, Akindinov, Alexander, Aleksandrov, Dmitry, Alessandro, Bruno, Molina, Jose Ruben Alfaro, Alici, Andrea, Alkin, Anton, Avina, Erick Jonathan Almaraz, Alt, Torsten, Altini, Valerio, Altinpinar, Sedat, Altsybeev, Igor, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Anson, Christopher Daniel, Anticic, Tome, Antinori, Federico, Antonioli, Pietro, Aphecetche, Laurent Bernard, Appelshauser, Harald, Arbor, Nicolas, Arcelli, Silvia, Arend, Andreas, Armesto, Nestor, Arnaldi, Roberta, Aronsson, Tomas Robert, Arsene, Ionut Cristian, Arslandok, Mesut, Asryan, Andzhey, Augustinus, Andre, Averbeck, Ralf Peter, Awes, Terry, Aysto, Juha Heikki, Azmi, Mohd Danish, Bach, Matthias Jakob, Badala, Angela, Baek, Yong Wook, Bailhache, Raphaelle Marie, Bala, Renu, Ferroli, Rinaldo Baldini, Baldisseri, Alberto, Baldit, Alain, Pedrosa, Fernando Baltasar Dos Santos, Ban, Jaroslav, Baral, Rama Chandra, Barbera, Roberto, Barile, Francesco, Barnafoldi, Gergely Gabor, Barnby, Lee Stuart, Barret, Valerie, Bartke, Jerzy Gustaw, Basile, Maurizio, Bastid, Nicole, Bathen, Bastian, Batigne, Guillaume, Batyunya, Boris, Baumann, Christoph Heinrich, Bearden, Ian Gardner, Beck, Hans, Belikov, Iouri, Bellini, Francesca, Bellwied, Rene, Belmont-Moreno, Ernesto, Beole, Stefania, Berceanu, Ionela, Bercuci, Alexandru, Berdnikov, Yaroslav, Berenyi, Daniel, Bergmann, Cyrano, Berzano, Dario, Betev, Latchezar, Bhasin, Anju, Bhati, Ashok Kumar, Bianchi, Nicola, Bianchi, Livio, Bianchin, Chiara, Bielcik, Jaroslav, Bielcikova, Jana, Bilandzic, Ante, Blanco, F., Blanco, Francesco, Blau, Dmitry, Blume, Christoph, Boccioli, Marco, Bock, Nicolas, Bogdanov, Alexey, Boggild, Hans, Bogolyubsky, Mikhail, Boldizsar, Laszlo, Bombara, Marek, Book, Julian, Borel, Herve, Borissov, Alexander, Bortolin, Claudio, Bose, Suvendu Nath, Bossu, Francesco, Botje, Michiel, Bottger, Stefan, Boyer, Bruno Alexandre, Braun-Munzinger, Peter, Bregant, Marco, Breitner, Timo Gunther, Broz, Michal, Brun, Rene, Bruna, Elena, Bruno, Giuseppe Eugenio, Budnikov, Dmitry, Buesching, Henner, Bufalino, Stefania, Bugaiev, Kyrylo, Busch, Oliver, Buthelezi, Edith Zinhle, Caffarri, Davide, Cai, Xu, Caines, Helen Louise, Villar, Ernesto Calvo, Camerini, Paolo, Roman, Veronica Canoa, Romeo, Giovanni Cara, Carena, Francesco, Carena, Wisla, Filho, Nelson Carlin, Carminati, Federico, Montoya, Camilo Andres Carrillo, Diaz, Amaya Ofelia Casanova, Caselle, Michele, Castellanos, Javier Ernesto Castillo, Hernandez, Juan Francisco Castillo, Casula, Ester Anna Rita, Catanescu, Vasile, Cavicchioli, Costanza, Cepila, Jan, Cerello, Piergiorgio, Chang, Beomsu, Chapeland, Sylvain, Charvet, Jean-Luc Fernand, Chattopadhyay, Sukalyan, Chattopadhyay, Subhasis, Cherney, Michael Gerard, Cheshkov, Cvetan, Cheynis, Brigitte, Chiavassa, Emilio, Barroso, Vasco Miguel Chibante, Chinellato, David, Chochula, Peter, Chojnacki, Marek, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter, Chujo, Tatsuya, Chung, Suh-Urk, Cicalo, Corrado, Cifarelli, Luisa, Cindolo, Federico, Cleymans, Jean Willy Andre, Coccetti, Fabrizio, Coffin, Jean-Pierre Michel, Colamaria, Fabio, Colella, Domenico, Balbastre, Gustavo Conesa, del Valle, Zaida Conesa, Constantin, Paul, Contin, Giacomo, Contreras, Jesus Guillermo, Cormier, Thomas Michael, Morales, Yasser Corrales, Cortese, Pietro, Maldonado, Ismael Cortes, Cosentino, Mauro Rogerio, Costa, Filippo, Cotallo, Manuel Enrique, Crescio, Elisabetta, Crochet, Philippe, Alaniz, Emilia Cruz, Cuautle, Eleazar, Cunqueiro, Leticia, Dainese, Andrea, Dalsgaard, Hans Hjersing, Danu, Andrea, Das, Indranil, Das, Kushal, Das, Debasish, Dash, Ajay Kumar, Dash, Sadhana, De, Sudipan, De Azevedo Moregula, Andrea, de Barros, Gabriel, De Caro, Annalisa, de Cataldo, Giacinto, de Cuveland, Jan, De Falco, Alessandro, De Gruttola, Daniele, Delagrange, Hugues, Del Castillo Sanchez, Eduardo, Deloff, Andrzej, Demanov, Vyacheslav, De Marco, Nora, Denes, Ervin, De Pasquale, Salvatore, Deppman, Airton, D’Erasmo, Ginevra, de Rooij, Raoul Stefan, Di Bari, Domenico, Dietel, Thomas, Di Giglio, Carmelo, Di Liberto, Sergio, Di Mauro, Antonio, Di Nezza, Pasquale, Divia, Roberto, Djuvsland, Oeystein, Dobrin, Alexandru Florin, Dobrowolski, Tadeusz Antoni, Dominguez, Isabel, Donigus, Benjamin, Dordic, Olja, Driga, Olga, Dubey, Anand Kumar, Ducroux, Laurent, Dupieux, Pascal, Majumdar, Mihir Ranjan Dutta, Majumdar, A.K. Dutta, Elia, Domenico, Emschermann, David Philip, Engel, Heiko, Erdal, Hege Austrheim, Espagnon, Bruno, Estienne, Magali Danielle, Esumi, Shinichi, Evans, David, Eyyubova, Gyulnara, Fabris, Daniela, Faivre, Julien, Falchieri, Davide, Fantoni, Alessandra, Fasel, Markus, Fearick, Roger Worsley, Fedunov, Anatoly, Fehlker, Dominik, Feldkamp, Linus, Felea, Daniel, Feofilov, Grigory, Tellez, Arturo Fernandez, Ferretti, Alessandro, Ferretti, Roberta, Figiel, Jan, Figueredo, Marcel, Filchagin, Sergey, Fini, Rosa Anna, Finogeev, Dmitry, Fionda, Fiorella, Fiore, Enrichetta Maria, Floris, Michele, Foertsch, Siegfried Valentin, Foka, Panagiota, Fokin, Sergey, Fragiacomo, Enrico, Fragkiadakis, Michail, Frankenfeld, Ulrich Michael, Fuchs, Ulrich, Furget, Christophe, Girard, Mario Fusco, Gaardhoje, Jens Joergen, Gagliardi, Martino, Gago, Alberto, Gallio, Mauro, Gangadharan, Dhevan Raja, Ganoti, Paraskevi, Garabatos, Jose, Garcia-Solis, Edmundo, Garishvili, Irakli, Gerhard, Jochen, Germain, Marie, Geuna, Claudio, Gheata, Andrei George, Gheata, Mihaela, Ghidini, Bruno, Ghosh, Premomoy, Gianotti, Paola, Girard, Martin Robert, Giubellino, Paolo, Gladysz-Dziadus, Ewa, Glassel, Peter, Gomez, Ramon, Ferreiro, Elena Gonzalez, Gonzalez-Trueba, Laura Helena, Gonzalez-Zamora, Pedro, Gorbunov, Sergey, Goswami, Ankita, Gotovac, Sven, Grabski, Varlen, Graczykowski, Lukasz Kamil, Grajcarek, Robert, Grelli, Alessandro, Grigoras, Costin, Grigoras, Alina Gabriela, Grigoriev, Vladislav, Grigoryan, Ara, Grigoryan, Smbat, Grinyov, Boris, Grion, Nevio, Gros, Philippe, Grosse-Oetringhaus, Jan Fiete, Grossiord, Jean-Yves, Grosso, Raffaele, Guber, Fedor, Guernane, Rachid, Gutierrez, Cesar Guerra, Guerzoni, Barbara, Guilbaud, Maxime Rene Joseph, Gulbrandsen, Kristjan Herlache, Gunji, Taku, Gupta, Anik, Gupta, Ramni, Gutbrod, Hans, Haaland, Oystein Senneset, Hadjidakis, Cynthia Marie, Haiduc, Maria, Hamagaki, Hideki, Hamar, Gergoe, Han, Byounghee, Hanratty, Luke David, Hansen, Alexander, Harmanova, Zuzana, Harris, John William, Hartig, Matthias, Hasegan, Dumitru, Hatzifotiadou, Despoina, Hayrapetyan, Arsen, Heckel, Stefan Thomas, Heide, Markus Ansgar, Helstrup, Haavard, Herghelegiu, Andrei Ionut, Corral, Gerardo Antonio Herrera, Herrmann, Norbert, Hetland, Kristin Fanebust, Hicks, Bernard, Hille, Per Thomas, Hippolyte, Boris, Horaguchi, Takuma, Hori, Yasuto, Hristov, Peter Zahariev, Hrivnacova, Ivana, Huang, Meidana, Huber, Sebastian Bernd, Humanic, Thomas, Hwang, Dae Sung, Ichou, Raphaelle, Ilkaev, Radiy, Ilkiv, Iryna, Inaba, Motoi, Incani, Elisa, Innocenti, Pier Giorgio, Innocenti, Gian Michele, Ippolitov, Mikhail, Irfan, Muhammad, Ivan, Cristian George, Ivanov, Marian, Ivanov, Vladimir, Ivanov, Andrey, Ivanytskyi, Oleksii, Jacholkowski, Adam Wlodzimierz, Jacobs, Peter, Jancurova, Lucia, Jang, Haeng Jin, Jangal, Swensy Gwladys, Janik, Rudolf, Janik, Malgorzata Anna, Jayarathna, Sandun, Jena, Satyajit, Bustamante, Raul Tonatiuh Jimenez, Jirden, Lennart, Jones, Peter Graham, Jung, Won Woong, Jung, Hyung Taik, Jusko, Anton, Kaidalov, Alexei, Kakoyan, Vanik, Kalcher, Sebastian, Kalinak, Peter, Kalisky, Matus, Kalliokoski, Tuomo Esa Aukusti, Kalweit, Alexander Philipp, Kanaki, Kalliopi, Kang, Ju Hwan, Kaplin, Vladimir, Uysal, Ayben Karasu, Karavichev, Oleg, Karavicheva, Tatiana, Karpechev, Evgeny, Kazantsev, Andrey, Kebschull, Udo Wolfgang, Keidel, Ralf, Khan, Palash, Khan, Mohisin Mohammed, Khan, Shuaib Ahmad, Khanzadeev, Alexei, Kharlov, Yury, Kileng, Bjarte, Kim, Jonghyun, Kim, Dong Jo, Kim, Do Won, Kim, Jin Sook, Kim, Minwoo, Kim, Seon Hee, Kim, Se Yong, Kim, Beomkyu, Kim, Taesoo, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergey, Kisiel, Adam Ryszard, Klay, Jennifer Lynn, Klein, Jochen, Klein-Bosing, Christian, Kliemant, Michael, Kluge, Alexander, Knichel, Michael Linus, Koch, Kathrin, Kohler, Markus, Kolojvari, Anatoly, Kondratiev, Valery, Kondratyeva, Natalia, Konevskih, Artem, Korneev, Andrey, Don, Chamath Kottachchi Kankanamge, Kour, Ravjeet, Kowalski, Marek, Kox, Serge, Meethaleveedu, Greeshma Koyithatta, Kral, Jiri, Kralik, Ivan, Kramer, Frederick, Kraus, Ingrid Christine, Krawutschke, Tobias, Kretz, Matthias, Krivda, Marian, Krizek, Filip, Krus, Miroslav, Kryshen, Evgeny, Krzewicki, Mikolaj, Kucheriaev, Yury, Kuhn, Christian Claude, Kuijer, Paul, Kurashvili, Podist, Kurepin, A.B., Kurepin, A., Kuryakin, Alexey, Kushpil, Svetlana, Kushpil, Vasily, Kvaerno, Henning, Kweon, Min Jung, Kwon, Youngil, de Guevara, Pedro Ladron, Lakomov, Igor, Langoy, Rune, Lara, Camilo Ernesto, Lardeux, Antoine Xavier, La Rocca, Paola, Lazzeroni, Cristina, Lea, Ramona, Le Bornec, Yves, Lee, Sung Chul, Lee, Ki Sang, Lefevre, Frederic, Lehnert, Joerg Walter, Leistam, Lars, Lenhardt, Matthieu Laurent, Lenti, Vito, Leon, Hermes, Monzon, Ildefonso Leon, Vargas, Hermes Leon, Levai, Peter, Li, Xiaomei, Lien, Jorgen, Lietava, Roman, Lindal, Svein, Lindenstruth, Volker, Lippmann, Christian, Lisa, Michael Annan, Liu, Lijiao, Loenne, Per-Ivar, Loggins, Vera, Loginov, Vitaly, Lohn, Stefan Bernhard, Lohner, Daniel, Loizides, Constantinos, Loo, Kai Krister, Lopez, Xavier Bernard, Torres, Ernesto Lopez, Lovhoiden, Gunnar, Lu, Xianguo, Luettig, Philipp, Lunardon, Marcello, Luo, Jiebin, Luparello, Grazia, Luquin, Lionel, Luzzi, Cinzia, Ma, Rongrong, Ma, Ke, Madagodahettige-Don, Dilan Minthaka, Maevskaya, Alla, Mager, Magnus, Mahapatra, Durga Prasad, Maire, Antonin, Malaev, Mikhail, Cervantes, Ivonne Alicia Maldonado, Malinina, Ludmila, Mal’Kevich, Dmitry, Malzacher, Peter, Mamonov, Alexander, Manceau, Loic Henri Antoine, Mangotra, Lalit Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Marchisone, Massimiliano, Mares, Jiri, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Martashvili, Irakli, Martinengo, Paolo, Martinez, Mario Ivan, Davalos, Arnulfo Martinez, Garcia, Gines Martinez, Martynov, Yevgen, Mas, Alexis Jean-Michel, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Mastromarco, Mario, Mastroserio, Annalisa, Matthews, Zoe Louise, Matyja, Adam Tomasz, Mayani, Daniel, Mayer, Christoph, Mazer, Joel, Mazzoni, Alessandra Maria, Meddi, Franco, Menchaca-Rocha, Arturo Alejandro, Perez, Jorge Mercado, Meres, Michal, Miake, Yasuo, Michalon, Alain, Midori, Jumpei, Milano, Leonardo, Milosevic, Jovan, Mischke, Andre, Mishra, Aditya Nath, Miskowiec, Dariusz, Mitu, Ciprian Mihai, Mlynarz, Jocelyn, Mohanty, Ajit Kumar, Mohanty, Bedangadas, Molnar, Levente, Zetina, Luis Manuel Montano, Monteno, Marco, Montes, Esther, Moon, Taebong, Morando, Maurizio, De Godoy, Denise Aparecida Moreira, Moretto, Sandra, Morsch, Andreas, Muccifora, Valeria, Mudnic, Eugen, Muhuri, Sanjib, Muller, Hans, Munhoz, Marcelo, Musa, Luciano, Musso, Alfredo, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nattrass, Christine, Naumov, Nikolay, Navin, Sparsh, Nayak, Tapan Kumar, Nazarenko, Sergey, Nazarov, Gleb, Nedosekin, Alexander, Nicassio, Maria, Nielsen, Borge Svane, Niida, Takafumi, Nikolaev, Sergey, Nikolic, Vedran, Nikulin, Vladimir, Nikulin, Sergey, Nilsen, Bjorn Steven, Nilsson, Mads Stormo, Noferini, Francesco, Nomokonov, Petr, Nooren, Gerardus, Novitzky, Norbert, Nyanin, Alexandre, Nyatha, Anitha, Nygaard, Casper, Nystrand, Joakim Ingemar, Obayashi, Hideyuki, Ochirov, Alexander, Oeschler, Helmut Oskar, Oh, Sun Kun, Oh, Saehanseul, Oleniacz, Janusz, Oppedisano, Chiara, Velasquez, Antonio Ortiz, Ortona, Giacomo, Oskarsson, Anders Nils Erik, Ostrowski, Piotr Krystian, Otterlund, Ingvar, Otwinowski, Jacek Tomasz, Oyama, Ken, Ozawa, Kyoichiro, Pachmayer, Yvonne Chiara, Pachr, Milos, Padilla, Fatima, Pagano, Paola, Paic, Guy, Painke, Florian, Pajares, Carlos, Pal, S., Pal, Susanta Kumar, Palaha, Arvinder Singh, Palmeri, Armando, Papikyan, Vardanush, Pappalardo, Giuseppe, Park, Woo Jin, Passfeld, Annika, Pastircak, Blahoslav, Patalakha, Dmitri Ivanovich, Paticchio, Vincenzo, Pavlinov, Alexei, Pawlak, Tomasz Jan, Peitzmann, Thomas, Perales, Marianela, De Oliveira Filho, Elienos Pereira, Peresunko, Dmitri, Lara, Carlos Eugenio Perez, Lezama, Edgar Perez, Perini, Diego, Perrino, Davide, Peryt, Wiktor Stanislaw, Pesci, Alessandro, Peskov, Vladimir, Pestov, Yury, Petracek, Vojtech, Petran, Michal, Petris, Mariana, Petrov, Plamen Rumenov, Petrovici, Mihai, Petta, Catia, Piano, Stefano, Piccotti, Anna, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pitz, Nora, Piuz, Francois, Piyarathna, Danthasinghe, Ploskon, Mateusz Andrzej, Pluta, Jan Marian, Pocheptsov, Timur, Pochybova, Sona, Lerma, Pedro Luis Manuel Podesta, Poghosyan, Martin, Polak, Karel, Polichtchouk, Boris, Pop, Amalia, Porteboeuf-Houssais, Sarah, Pospisil, Vladimir, Potukuchi, Baba, Prasad, Sidharth Kumar, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude Andre, Pshenichnov, Igor, Puchagin, Sergey, Puddu, Giovanna, Pulvirenti, Alberto, Punin, Valery, Putis, Marian, Putschke, Jorn Henning, Quercigh, Emanuele, Qvigstad, Henrik, Rachevski, Alexandre, Rademakers, Alphonse, Radomski, Sylwester, Raiha, Tomi Samuli, Rak, Jan, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Reyes, Abdiel Ramirez, Raniwala, Sudhir, Raniwala, Rashmi, Rasanen, Sami Sakari, Rascanu, Bogdan Theodor, Rathee, Deepika, Read, Kenneth Francis, Real, Jean-Sebastien, Redlich, Krzysztof, Reichelt, Patrick, Reicher, Martijn, Renfordt, Rainer Arno Ernst, Reolon, Anna Rita, Reshetin, Andrey, Rettig, Felix Vincenz, Revol, Jean-Pierre, Reygers, Klaus Johannes, Riccati, Lodovico, Ricci, Renato Angelo, Richter, Matthias Rudolph, Riedler, Petra, Riegler, Werner, Riggi, Francesco, Cahuantzi, Mario Rodriguez, Rohr, David, Rohrich, Dieter, Romita, Rosa, Ronchetti, Federico, Rosnet, Philippe, Rossegger, Stefan, Rossi, Andrea, Roukoutakis, Filimon, Roy, Pradip Kumar, Roy, Christelle Sophie, Montero, Antonio Juan Rubio, Rui, Rinaldo, Ryabinkin, Evgeny, Rybicki, Andrzej, Sadovsky, Sergey, Safarik, Karel, Sahu, Pradip Kumar, Saini, Jogender, Sakaguchi, Hiroaki, Sakai, Shingo, Sakata, Dosatsu, Salgado, Carlos Albert, Sambyal, Sanjeev Singh, Samsonov, Vladimir, Castro, Xitzel Sanchez, Sandor, Ladislav, Sandoval, Andres, Sano, Masato, Sano, Satoshi, Santo, Rainer, Santoro, Romualdo, Sarkamo, Juho Jaako, Scapparone, Eugenio, Scarlassara, Fernando, Scharenberg, Rolf Paul, Schiaua, Claudiu Cornel, Schicker, Rainer Martin, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schreiner, Steffen, Schuchmann, Simone, Schukraft, Jurgen, Schutz, Yves Roland, Schwarz, Kilian Eberhard, Schweda, Kai Oliver, Scioli, Gilda, Scomparin, Enrico, Scott, Rebecca, Scott, Patrick Aaron, Segato, Gianfranco, Selioujenkov, Ilya, Senyukov, Serhiy, Seo, Jeewon, Serci, Sergio, Serradilla, Eulogio, Sevcenco, Adrian, Sgura, Irene, Shabetai, Alexandre, Shabratova, Galina, Shahoyan, Ruben, Sharma, Natasha, Sharma, Satish, Shigaki, Kenta, Shimomura, Maya, Shtejer, Katherin, Sibiriak, Yury, Siciliano, Melinda, Sicking, Eva, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Silvermyr, David Olle Rickard, Simonetti, Giuseppe, Singaraju, Rama Narayana, Singh, Ranbir, Singha, Subhash, Sinha, Bikash, Sinha, Tinku, Sitar, Branislav, Sitta, Mario, Skaali, Bernhard, Skjerdal, Kyrre, Smakal, Radek, Smirnov, Nikolai, Snellings, Raimond, Sogaard, Carsten, Soltz, Ron Ariel, Son, Hyungsuk, Song, Jihye, Song, Myunggeun, Soos, Csaba, Soramel, Francesca, Sputowska, Iwona, Spyropoulou-Stassinaki, Martha, Srivastava, Brijesh Kumar, Stachel, Johanna, Stan, Ionel, Stan, Ionel, Stefanek, Grzegorz, Stefanini, Giorgio, Steinbeck, Timm Morten, Steinpreis, Matthew, Stenlund, Evert Anders, Steyn, Gideon Francois, Stocco, Diego, Stolpovskiy, Mikhail, Strabykin, Kirill, Strmen, Peter, do Passo Suaide, Alexandre Alarcon, Vasquez, Martin Alfonso Subieta, Sugitate, Toru, Suire, Christophe Pierre, Sukhorukov, Mikhail, Sultanov, Rishat, Sumbera, Michal, Susa, Tatjana, de Toledo, Alejandro Szanto, Szarka, Imrich, Szostak, Artur Krzysztof, Tagridis, Christos, Takahashi, Jun, Takaki, Daniel Jesus Tapia, Tauro, Arturo, Munoz, Guillermo Tejeda, Telesca, Adriana, Terrevoli, Cristina, Thader, Jochen Mathias, Thomas, Jim, Thomas, Deepa, Tieulent, Raphael Noel, Timmins, Anthony, Tlusty, David, Toia, Alberica, Torii, Hisayuki, Toscano, Luca, Tosello, Flavio, Traczyk, Tomasz, Truesdale, David Christopher, Trzaska, Wladyslaw Henryk, Tsuji, Tomoya, Tumkin, Alexandr, Turrisi, Rosario, Tveter, Trine Spedstad, Ulery, Jason Glyndwr, Ullaland, Kjetil, Ulrich, Jochen, Uras, Antonio, Urban, Jozef, Urciuoli, Guido Marie, Usai, Gianluca, Vajzer, Michal, Vala, Martin, Palomo, Lizardo Valencia, Vallero, Sara, van der Kolk, Naomi, Vyvre, Pierre Vande, van Leeuwen, Marco, Vannucci, Luigi, Vargas, Aurora Diozcora, Varma, Raghava, Vasileiou, Maria, Vasiliev, Andrey, Vechernin, Vladimir, Veldhoen, Misha, Venaruzzo, Massimo, Vercellin, Ermanno, Vergara, Sergio, Vernekohl, Don Constantin, Vernet, Renaud, Verweij, Marta, Vickovic, Linda, Viesti, Giuseppe, Vikhlyantsev, Oleg, Vilakazi, Zabulon, Baillie, Orlando Villalobos, Vinogradov, Leonid, Vinogradov, Yury, Vinogradov, Alexander, Virgili, Tiziano, Viyogi, Yogendra, Vodopianov, Alexander, Voloshin, Sergey, Voloshin, Kirill, Volpe, Giacomo, von Haller, Barthelemy, Vranic, Danilo, vrebekk, Gaute, Vrlakova, Janka, Vulpescu, Bogdan, Vyushin, Alexey, Wagner, Boris, Wagner, Vladimir, Wan, Renzhuo, Wang, Yifei, Wang, Mengliang, Wang, Dong, Wang, Yaping, Watanabe, Kengo, Wessels, Johannes, Westerhoff, Uwe, Wiechula, Jens, Wikne, Jon, Wilde, Martin Rudolf, Wilk, Grzegorz Andrzej, Wilk, Alexander, Williams, Crispin, Windelband, Bernd Stefan, Karampatsos, Leonidas Xaplanteris, Yang, Hongyan, Yang, Shiming, Yano, Satoshi, Yasnopolsky, Stanislav, Yi, JunGyu, Yin, Zhongbao, Yokoyama, Hiroki, Yoo, In-Kwon, Yoon, Jongik, Yu, Weilin, Yuan, Xianbao, Yushmanov, Igor, Zach, Cenek, Zampolli, Chiara, Zaporozhets, Sergey, Zarochentsev, Andrey, Zavada, Petr, Zaviyalov, Nikolai, Zbroszczyk, Hanna Paulina, Zelnicek, Pierre, Zgura, Sorin Ion, Zhalov, Mikhail, Zhang, Xiaoming, Zhou, Fengchu, Zhou, You, Zhou, Daicui, Zhu, Xiangrong, Zichichi, Antonino, Zimmermann, Alice, Zinovjev, Gennady, Zoccarato, Yannick Denis, Zynovyev, Mykhaylo, and The ALICE collaboration

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2012
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28. Venous thromboembolism and COVID-19: a single center experience from an academic tertiary referral hospital of Northern Italy

Author

Melazzini, Federica, Colaneri, Marta, Fumoso, Federica, Freddi, Giulia, Lenti, Marco Vincenzo, Pieri, Teresa Chiara, Piloni, Davide, Noris, Patrizia, Pieresca, Carla, Preti, Paola Stefania, Russo, Mariaconcetta, Corsico, Angelo, Tavazzi, Guido, Baldanti, Fausto, Triarico, Antonio, Mojoli, Francesco, Bruno, Raffaele, Di Sabatino, Antonio, Aronico, Nicola, Bergamaschi, Gaetano, Bertolino, Giampiera, Codega, Silvia, Costanzo, Filippo, Cresci, Roberto, Delliponti, Angela, Derosa, Giuseppe, Di Stefano, Michele, Falaschi, Francesco, Iadarola, Carmine, Lovati, Elisabetta, Lucotti, Pietro Carlo, Martignoni, Alessandra, Mengoli, Caterina, Miceli, Emanuela, Mugellini, Amedeo, Muggia, Chiara, Pagani, Elisabetta, Palumbo, Ilaria, Pecci, Alessandro, Perrone, Tiziano, Sgarlata, Carmelo, Siciliani, Luisa, Staniscia, Andrea, Vjera, Francesca Torello, Achilli, Giovanna, Agostinelli, Andrea, Antoci, Valentina, Ballesio, Alessia, Banfi, Francesco, Barteselli, Chiara, Benedetti, Irene, de Andreis, Federica Borrelli, Brattoli, Michele, Calabretta, Francesca, Cambiè, Ginevra, Canta, Roberta, Conca, Federico, Coppola, Luigi, Cremonte, Elisa Maria, Croce, Gabriele, Del Rio, Virginia, Di Terlizzi, Francesco, Ferrari, Maria Giovanna, Ferrari, Sara, Fiengo, Anna, Forni, Tommaso, Frigerio, Chiara, Fusco, Alessandra, Gabba, Margherita, Garolfi, Matteo, Gentile, Antonella, Gori, Giulia, Grandi, Giacomo, Grimaldi, Paolo, Lampugnani, Alice, Lapia, Francesco, Lepore, Federica, Lettieri, Gianluca, Mambella, Jacopo, Mercanti, Chiara, Merli, Stefania, Mordà, Francesco, Nardone, Alba, Pace, Luca, Padovini, Lucia, Parodi, Alessandro, Pellegrino, Ivan, Pitotti, Lavinia, Reduzzi, Margherita, Rigano, Giovanni, Romito, Giovanni, Rotola, Giorgio, Sabatini, Umberto, Salvi, Lucia, Santacroce, Giovanni, Savioli, Jessica, Soriano, Simone, Spataro, Carmine, Stefani, Debora, Aliberti, Anna Rita, Amatu, Alessandro, Anfossi, Laura, Arisi, Eric, Baldi, Chiara, Belliato, Mirko, Bellini, Lorenzo, Benzi, Alberto, Bichisao, Germana, Bolongaro, Antonia, Bottazzi, Andrea, Broglia, Federica, Bruschi, Giacomo, Caneva, Luca, Capaccio, Emanuele, Carboni, Valeria, Cavalloro, Fabrizio, Ciceri, Maria, Civardi, Luca, Delmonte, Maria Paola, Domenegati, Elisa Lucia, Ferrari, Federica, Ferrari, Fiorenza, Ferrari, Marta, Fuardo, Marinella, Gerletti, Maddalena Margherita, Gualdana, Simonetta, Ilardi, Marcella, Lo Coco, Claudia, Maggio, Giuseppe, Mascia, Maria Benedetta, Mencherini, Simonetta, Merati, Paola Maria, Mongodi, Silvia, Mori, Anna Maria, Morgante, Federica, Niebel, Thekla Larissa, Noli, Silvano, Orlando, Anita, Pagani, Michele, Passador, Debora, Pellicori, Simona, Perotti, Luciano, Picchioni, Raffaella, Poma, Silvia, Pozzi, Marco, Preti, Emanuela, Puce, Roberta, Radolovich, Danila Katia, Ragni, Gianluca, Repossi, Filippo, Riccardi, Francesca, Rizzardi, Roberto, Rodi, Giuseppe, Roldi, Emanuela, Rossi, Cristina, Sala Gallini, Giuseppe, Sciutti, Fabio, Sportiello, Debora, Ticozzelli, Giulia, Visconti, Federico, Zizzi, Silvia, Bagliani, Alessandro, Belotti, Corrado, Bossi, Chiara, Colombo, Andrea, Colombo, Costanza Natalia Julia, Cremascoli, Luca, Dammassa, Valentino, Discepoli, Roberto, Garlando, Maria Adelaide, Grandini, Filippo, Pellegrini, Andrea, Quaranta, Cecilia, Stella, Andrea, Torresani, Francesco, Mondelli, Mario, Brunetti, Enrico, Di Matteo, Angela, Seminari, Elena, Maiocchi, Laura, Zuccaro, Valentina, Pagnucco, Layla, Mariani, Bianca, Ludovisi, Serena, Lissandrin, Raffaella, Parisi, Aldo, Sacchi, Paolo, Patruno, Savino F. A., Michelone, Giuseppe, Gulminetti, Roberto, Zanaboni, Domenico, Novati, Stefano, Maserati, Renato, Orsolini, Paolo, Vecchia, Marco, Asperges, Erika, Di Filippo, Alessandro, Sambo, Margherita, Biscarini, Simona, Lupi, Matteo, Roda, Silvia, Gallazzi, Ilaria, Sachs, Michele, Valsecchi, Pietro, Ferrari, Alessandra, Bosio, Matteo, Cascina, Alessandro, Conio, Valentina, Di Domenica, Rita, Donnetta, Anna, Fraolini, Elia, Gualtieri, Giuseppe, Mangiarotti, Patrizia, Mariani, Francesca, Meloni, Federica, Oggionni, Tiberio, Pasturenzi, Lidia, Ronzoni, Vanessa, Saracino, Laura, Stella, Giulia, Tomaselli, Stefano, Abbate, Tommaso, Accordino, Giulia, Bertuccio, Francesco, Burattini, Cecilia, Cacciatore, Elisa, Cattaneo, Elena, Chino, Vittorio, Coretti, Manuela, Della Zoppa, Matteo, Infusino, Cristina, Lettieri, Sara, Maccabruni, Valeria, Mancinelli, Silvia, Tirelli, Claudio, and Vertui, Valentina

Subjects
medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), 030204 cardiovascular system & hematology, Single Center, Tertiary referral hospital, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Internal Medicine, Medicine, cardiovascular diseases, Mean platelet volume, biology, SARS-CoV-2, business.industry, Pulmonary embolism, C-reactive protein, Anticoagulants, Thrombosis, equipment and supplies, medicine.disease, Im - Original, 030220 oncology & carcinogenesis, biology.protein, Emergency Medicine, Observational study, business
Abstract

Preliminary evidence supports the notion that COVID-19 patients may have an increased susceptibility to develop venous thromboembolism (VTE). However, the magnitude of this association still needs to be defined. Furthermore, clinical predictors of thrombogenesis, and the relationship with the inflammatory status are currently unknown. On this basis, we conducted a retrospective, observational study on 259 consecutive COVID-19 patients admitted to an academic tertiary referral hospital in Northern Italy between March 19th and April 6th, 2020. Records of COVID-19 patients with a definite VTE event were reviewed for demographic information, co-morbidities, risk factors for VTE, laboratory tests, and anticoagulation treatment. Twenty-five cases among 259 COVID-19 patients developed VTE (9.6%), all of them having a Padua score > 4, although being under standard anticoagulation prophylaxis since hospital admission. In the VTE subcohort, we found a significant positive correlation between platelet count (PLT) and either C reactive protein (CRP) (p p = 0.0013), while a significant inverse correlation was observed between PLT and mean platelet volume (p p p = 0.002 and p = 0.005, respectively). No significant difference was found in d-dimer levels between VTE and non VTE patients, while significantly higher levels of LDH (p = 0.04) and IL-6 (p = 0.04) were observed in VTE patients in comparison to non-VTE patients. In conclusion, our findings showed a quite high prevalence of VTE in COVID-19 patients. Raised inflammatory indexes and increased serum levels of pro-inflammatory cytokines should raise the clinical suspicion of VTE.

Published
2020
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29. Anemia in patients with Covid-19: pathogenesis and clinical significance

Author

Bergamaschi, Gaetano, Borrelli de Andreis, Federica, Aronico, Nicola, Lenti, Marco Vincenzo, Barteselli, Chiara, Merli, Stefania, Pellegrino, Ivan, Coppola, Luigi, Cremonte, Elisa Maria, Croce, Gabriele, Mordà, Francesco, Lapia, Francesco, Ferrari, Sara, Ballesio, Alessia, Parodi, Alessandro, Calabretta, Francesca, Ferrari, Maria Giovanna, Fumoso, Federica, Gentile, Antonella, Melazzini, Federica, Di Sabatino, Antonio, Bertolino, Giampiera, Codega, Silvia, Costanzo, Filippo, Cresci, Roberto, Derosa, Giuseppe, Stefano, Michele Di, Falaschi, Francesco, Iadarola, Carmine, Lovati, Elisabetta, Lucotti, Pietro Carlo, Martignoni, Alessandra, Mengoli, Caterina, Miceli, Emanuela, Mugellini, Amedeo, Muggia, Chiara, Noris, Patrizia, Pagani, Elisabetta, Palumbo, Ilaria, Pecci, Alessandro, Perrone, Tiziano, Pieresca, Carla, Preti, Paola Stefania, Russo, Maria Concetta, Sgarlata, Carmelo, Siciliani, Luisa, Staniscia, Andrea, Vjera, Francesca Torello, Achilli, Giovanna, Agostinelli, Andrea, Antoci, Valentina, Banfi, Francesco, Benedetti, Irene, Brattoli, Michele, Cambiè, Ginevra, Canta, Roberta, Cococcia, Sara, Conca, Federico, Delliponti, Mariangela, Rio, Virginia Del, Terlizzi, Francesco Di, Fiengo, Anna, Forni, Tommaso, Freddi, Giulia, Frigerio, Chiara, Fusco, Alessandra, Gabba, Margherita, Garolfi, Matteo, Gori, Giulia, Grandi, Giacomo, Grimaldi, Paolo, Lampugnani, Alice, Lepore, Federica, Lettieri, Gianluca, Mambella, Jacopo, Mercanti, Chiara, Nardone, Alba, Pace, Luca, Padovini, Lucia, Pitotti, Lavinia, Reduzzi, Margherita, Rigano, Giovanni, Rotola, Giorgio, Sabatini, Umberto, Salvi, Lucia, Santacroce, Giovanni, Savioli, Jessica, Soriano, Simone, Spataro, Carmine, and Stefani, Debora

Subjects
0301 basic medicine, Male, Comorbidity, Gastroenterology, Hemoglobins, 0302 clinical medicine, Medicine, Cholinesterases, Hematology, biology, medicine.diagnostic_test, Anemia, Iron-Deficiency, Oxygen partial pressure/oxygen concentration, Anemia, General Medicine, Middle Aged, C-Reactive Protein, 030220 oncology & carcinogenesis, Erythrocyte sedimentation rate, Original Article, Female, Adult, medicine.medical_specialty, Blood Sedimentation, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Red blood cell distribution width, Internal medicine, Humans, Clinical significance, Aged, L-Lactate Dehydrogenase, business.industry, SARS-CoV-2, C-reactive protein, COVID-19, Correction, medicine.disease, Ferritin, Oxygen, 030104 developmental biology, Ferritins, biology.protein, Erythrocyte Count, Hemoglobin, business, Anemia of inflammation, Blood Gas Monitoring, Transcutaneous
Abstract

COVID-19 patients typically present with lower airway disease, although involvement of other organ systems is usually the rule. Hematological manifestations such as thrombocytopenia and reduced lymphocyte and eosinophil numbers are highly prevalent in COVID-19 and have prognostic significance. Few data, however, are available about the prevalence and significance of anemia in COVID-19. In an observational study, we investigated the prevalence, pathogenesis and clinical significance of anemia among 206 patients with COVID-19 at the time of their hospitalization in an Internal Medicine unit. The prevalence of anemia was 61% in COVID-19, compared with 45% in a control group of 71 patients with clinical and laboratory findings suggestive of COVID-19, but nasopharyngeal swab tests negative for SARS-CoV-2 RNA (p = 0.022). Mortality was higher in SARS-CoV-2 positive patients. In COVID-19, females had lower hemoglobin concentration than males and a higher prevalence of moderate/severe anemia (25% versus 13%, p = 0.032). In most cases, anemia was mild and due to inflammation, sometimes associated with iron and/or vitamin deficiencies. Determinants of hemoglobin concentration included: erythrocyte sedimentation rate, serum cholinesterase, ferritin and protein concentrations and number of chronic diseases affecting each patient. Hemoglobin concentration was not related to overall survival that was, on the contrary, influenced by red blood cell distribution width, age, lactate dehydrogenase and the ratio of arterial partial oxygen pressure to inspired oxygen fraction. In conclusion, our results highlight anemia as a common manifestation in COVID-19. Although anemia does not directly influence mortality, it usually affects elderly, frail patients and can negatively influence their quality of life.

Published
2020

30. Impact of COVID-19 on liver function: results from an internal medicine unit in Northern Italy

Author

Lenti, Marco Vincenzo, Borrelli de Andreis, Federica, Pellegrino, Ivan, Klersy, Catherine, Merli, Stefania, Miceli, Emanuela, Aronico, Nicola, Mengoli, Caterina, Di Stefano, Michele, Cococcia, Sara, Santacroce, Giovanni, Soriano, Simone, Melazzini, Federica, Delliponti, Mariangela, Baldanti, Fausto, Triarico, Antonio, Corazza, Gino Roberto, Pinzani, Massimo, Di Sabatino, Antonio, Bergamaschi, Gaetano, Bertolino, Giampiera, Codega, Silvia, Costanzo, Filippo, Cresci, Roberto, Derosa, Giuseppe, Falaschi, Francesco, Iadarola, Carmine, Lovati, Elisabetta, Lucotti, Pietro Carlo, Martignoni, Alessandra, Mugellini, Amedeo, Muggia, Chiara, Noris, Patrizia, Pagani, Elisabetta, Palumbo, Ilaria, Pecci, Alessandro, Perrone, Tiziano, Pieresca, Carla, Preti, Paola Stefania, Russo, Mariaconcetta, Sgarlata, Carmelo, Siciliani, Luisa, Staniscia, Andrea, Torello Vjera, Francesca, Achilli, Giovanna, Agostinelli, Andrea, Antoci, Valentina, Ballesio, Alessia, Banfi, Francesco, Barteselli, Chiara, Benedetti, Irene, Brattoli, Michele, Calabretta, Francesca, Cambiè, Ginevra, Canta, Roberta, Conca, Federico, Coppola, Luigi, Cremonte, Elisa Maria, Croce, Gabriele, Del Rio, Virginia, Di Terlizzi, Francesco, Ferrari, Maria Giovanna, Ferrari, Sara, Fiengo, Anna, Forni, Tommaso, Freddi, Giulia, Frigerio, Chiara, Fumoso, Federica, Fusco, Alessandra, Gabba, Margherita, Garolfi, Matteo, Gentile, Antonella, Gori, Giulia, Grandi, Giacomo, Grimaldi, Paolo, Lampugnani, Alice, Lapia, Francesco, Lepore, Federica, Lettieri, Gianluca, Mambella, Jacopo, Mercanti, Chiara, Mordà, Francesco, Nardone, Alba, Pace, Luca, Padovini, Lucia, Parodi, Alessandro, Pitotti, Lavinia, Reduzzi, Margherita, Rigano, Giovanni, Rotola, Giorgio, Sabatini, Umberto, Salvi, Lucia, Savioli, Jessica, Spataro, Carmine, and Stefani, Debora

Subjects
Adult, Male, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Pneumonia, Viral, 030204 cardiovascular system & hematology, Acute respiratory failure, Chronic liver disease, Hepatitis, 03 medical and health sciences, 0302 clinical medicine, Intensive care, Internal medicine, Patients' Rooms, medicine, Internal Medicine, Humans, 030212 general & internal medicine, Pandemics, Aged, Retrospective Studies, Aged, 80 and over, Liver injury, medicine.diagnostic_test, business.industry, COVID-19, Retrospective cohort study, Middle Aged, medicine.disease, Im - Original, Coronavirus, Hospitalization, Severe acute respiratory syndrome, Italy, Liver, Emergency Medicine, Female, Liver function, Coronavirus Infections, business, Liver function tests, Liver Failure
Abstract

Little is known regarding coronavirus disease 2019 (COVID-19) clinical spectrum in non-Asian populations. We herein describe the impact of COVID-19 on liver function in 100 COVID-19 consecutive patients (median age 70 years, range 25–97; 79 males) who were admitted to our internal medicine unit in March 2020. We retrospectively assessed liver function tests, taking into account demographic characteristics and clinical outcome. A patient was considered as having liver injury when alanine aminotransferase (ALT) was > 50 mU/ml, gamma-glutamyl transpeptidase (GGT) > 50 mU/ml, or total bilirubin > 1.1 mg/dl. Spearman correlation coefficient for laboratory data and bivariable analysis for mortality and/or need for intensive care were assessed. A minority of patients (18.6%) were obese, and most patients were non- or moderate-drinkers (88.5%). Liver function tests were altered in 62.4% of patients, and improved during follow-up. None of the seven patients with known chronic liver disease had liver decompensation. Only one patient developed acute liver failure. In patients with altered liver function tests, PaO2/FiO2

Published
2020
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32. Which is the best antiaggregant or anticoagulant therapy after TAVI? A propensity-matched analysis from the ITER registry. The management of DAPT after TAVI

Author

D'Ascenzo, Fabrizio, Benedetto, Umberto, Bianco, Matteo, Conrotto, Federico, Moretti, Claudio, D'Onofrio, Augusto, Agrifoglio, Marco, Colombo, Antonio, Ribichini, Flavio, Tarantini, Giuseppe, D'Amico, Maurizio, Salizzoni, Stefano, Rinaldi, Mauro, Chieffo, Alaide, Giustino, Gennaro, Regesta, Tommaso, Napodano, Massimo, Gabbieri, Davide, Saia, Francesco, Tamburino, Corrado, Cugola, Diego, Aiello, Marco, Sanna, Francesco, Iadanza, Alessandro, Pompei, Esmeralda, Stefã no, Pierluigi, Cappai, Antioco, Minati, Alessandro, Cassese, Mauro, Martinelli, Gian Luca, Agostinelli, Andrea, Fiorilli, Rosario, Casilli, Francesco, Reale, Maurizio, Bedogni, Francesco, Petronio, Anna Sonia, Omedã, Pierluigi, Montefusco, Antonio, Mozzillo, Rosa Alba, Bonmassari, Roberto, Briguori, Carlo, Liso, Armando, Sardella, Gennaro, Bruschi, Giuseppe, Gerosa, Gino, Romeo, Francesco, D'Ascenzo, Fabrizio, Benedetto, Umberto, Bianco, Matteo, Conrotto, Federico, Moretti, Claudio, D'Onofrio, Augusto, Agrifoglio, Marco, Colombo, Antonio, Ribichini, Flavio, Tarantini, Giuseppe, D'Amico, Maurizio, Salizzoni, Stefano, and Gaita, Fiorenzo

Subjects
Male, medicine.medical_specialty, Ticlopidine, Aortic stenosis, Clinical research, Transcatheter aortic valve implantation (TAVI), Cardiology and Cardiovascular Medicine, Hemorrhage, Subgroup analysis, 030204 cardiovascular system & hematology, Cohort Studies, Transcatheter Aortic Valve Replacement, 03 medical and health sciences, 0302 clinical medicine, aortic stenosis, clinical research, transcatheter aortic valve implantation (TAVI), Internal medicine, medicine, Clinical endpoint, Humans, Registries, 030212 general & internal medicine, Propensity Score, Stroke, Aged, Aged, 80 and over, Aspirin, business.industry, Clopidogrel, medicine.disease, Propensity score matching, Cardiology, Platelet aggregation inhibitor, Female, business, Platelet Aggregation Inhibitors, medicine.drug
Abstract

AIMS The safety and efficacy of single vs. dual antiplatelet therapy (DAPT) in patients undergoing TAVI remain to be addressed. The aim of our study was to evaluate the usefulness of a DAPT compared to a single platelet therapy in patients undergoing TAVI with a balloon-expandable prosthesis. METHODS AND RESULTS All consecutive patients enrolled in the ITER registry were included. Patients undergoing TAVI discharged with aspirin alone were compared to those taking DAPT before and after selection using propensity score with matching. Subgroup analysis was performed for those on OAT. Prosthetic heart valve dysfunction at follow-up was the primary endpoint, whereas all-cause death, cardiovascular death, bleedings, vascular complications and cerebrovascular accidents were the secondary ones. From 1,364 patients, after propensity score with matching, 605 were selected for each group (aspirin alone vs. DAPT). At 30 days, rates of VARC mortality were lower in patients with aspirin alone (1.5% vs. 4.1%, p=0.003), mainly driven by a reduction of major vascular complications (5.3% vs. 10.7%, p

Published
2017
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34. A rare case of giant lipomatous hypertrophy of the atrial septum

Author

Carino, Davide, Agostinelli, Andrea, Ricci, Matteo, Romano, Giorgio, Nicolini, Francesco, and Gherli, Tiziano

Subjects
Aged, 80 and over, cardiac tumor, Atrial Septum, atrial lipomas, Case Report, Hypertrophy, Magnetic Resonance Imaging, Heart Neoplasms, Dyspnea, Asthenia, cardiovascular system, Humans, Female, cardiovascular diseases, Lipoma, Tomography, X-Ray Computed, lipomatous hypertrophy of the atrial septum
Abstract

Benign lipomatous lesion of the heart includes an heterogeneous group of entities including neoplastic, congenital and reparative phenomena. Among these lipomas and lipomatous hypertrophy of the atrial septum ( LHIS) represent the most common lesion. Patients suffering from LHIS are often asymptomatic, however atrial fibrillation, congestive heart failure and supraventricular tachycardia are typical findings. Here we present a rare case of LHIS symptomatic for asthenia and dyspnea. (www.actabiomedica.it)

Published
2018

37. Correction to: Venous thromboembolism and COVID-19: a single center experience from an academic tertiary referral hospital of Northern Italy

Author

Melazzini, Federica, Colaneri, Marta, Fumoso, Federica, Freddi, Giulia, Lenti, Marco Vincenzo, Pieri, Teresa Chiara, Piloni, Davide, Noris, Patrizia, Pieresca, Carla, Preti, Paola Stefania, Russo, Mariaconcetta, Corsico, Angelo, Tavazzi, Guido, Baldanti, Fausto, Triarico, Antonio, Mojoli, Francesco, Bruno, Raffaele, Di Sabatino, Antonio, Aronico, Nicola, Bergamaschi, Gaetano, Bertolino, Giampiera, Codega, Silvia, Costanzo, Filippo, Cresci, Roberto, Delliponti, Angela, Derosa, Giuseppe, Di Stefano, Michele, Falaschi, Francesco, Iadarola, Carmine, Lovati, Elisabetta, Lucotti, Pietro Carlo, Martignoni, Alessandra, Mengoli, Caterina, Miceli, Emanuela, Mugellini, Amedeo, Muggia, Chiara, Pagani, Elisabetta, Palumbo, Ilaria, Pecci, Alessandro, Perrone, Tiziano, Sgarlata, Carmelo, Siciliani, Luisa, Staniscia, Andrea, Vjera, Francesca Torello, Achilli, Giovanna, Agostinelli, Andrea, Antoci, Valentina, Ballesio, Alessia, Banfi, Francesco, Barteselli, Chiara, Benedetti, Irene, Borrelli de Andreis, Federica, Brattoli, Michele, Calabretta, Francesca, Cambiè, Ginevra, Canta, Roberta, Conca, Federico, Coppola, Luigi, Cremonte, Elisa Maria, Croce, Gabriele, Del Rio, Virginia, Di Terlizzi, Francesco, Ferrari, Maria Giovanna, Ferrari, Sara, Fiengo, Anna, Forni, Tommaso, Frigerio, Chiara, Fusco, Alessandra, Gabba, Margherita, Garolfi, Matteo, Gentile, Antonella, Gori, Giulia, Grandi, Giacomo, Grimaldi, Paolo, Lampugnani, Alice, Lapia, Francesco, Lepore, Federica, Lettieri, Gianluca, Mambella, Jacopo, Mercanti, Chiara, Merli, Stefania, Mordà, Francesco, Nardone, Alba, Pace, Luca, Padovini, Lucia, Parodi, Alessandro, Pellegrino, Ivan, Pitotti, Lavinia, Reduzzi, Margherita, Rigano, Giovanni, Romito, Giovanni, Rotola, Giorgio, Sabatini, Umberto, Salvi, Lucia, Santacroce, Giovanni, Savioli, Jessica, Soriano, Simone, Spataro, Carmine, Stefani, Debora, Aliberti, Anna Rita, Amatu, Alessandro, Anfossi, Laura, Arisi, Eric, Baldi, Chiara, Belliato, Mirko, Bellini, Lorenzo, Benzi, Alberto, Bichisao, Germana, Bolongaro, Antonia, Bottazzi, Andrea, Broglia, Federica, Bruschi, Giacomo, Caneva, Luca, Capaccio, Emanuele, Carboni, Valeria, Cavalloro, Fabrizio, Ciceri, Maria, Civardi, Luca, Delmonte, Maria Paola, Domenegati, Elisa Lucia, Ferrari, Federica, Ferrari, Fiorenza, Ferrari, Marta, Fuardo, Marinella, Gerletti, Maddalena Margherita, Gualdana, Simonetta, Ilardi, Marcella, Lo Coco, Claudia, Maggio, Giuseppe, Mascia, Maria Benedetta, Mencherini, Simonetta, Merati, Paola Maria, Mongodi, Silvia, Mori, Anna Maria, Morgante, Federica, Niebel, Thekla Larissa, Noli, Silvano, Orlando, Anita, Pagani, Michele, Passador, Debora, Pellicori, Simona, Perotti, Luciano, Picchioni, Raffaella, Poma, Silvia, Pozzi, Marco, Preti, Emanuela, Puce, Roberta, Radolovich, Danila Katia, Ragni, Gianluca, Repossi, Filippo, Riccardi, Francesca, Rizzardi, Roberto, Rodi, Giuseppe, Roldi, Emanuela, Rossi, Cristina, Sala Gallini, Giuseppe, Sciutti, Fabio, Sportiello, Debora, Ticozzelli, Giulia, Visconti, Federico, Zizzi, Silvia, Bagliani, Alessandro, Belotti, Corrado, Bossi, Chiara, Colombo, Andrea, Colombo, Costanza Natalia Julia, Cremascoli, Luca, Dammassa, Valentino, Discepoli, Roberto, Garlando, Maria Adelaide, Grandini, Filippo, Pellegrini, Andrea, Quaranta, Cecilia, Stella, Andrea, Torresani, Francesco, Mondelli, Mario, Brunetti, Enrico, Di Matteo, Angela, Seminari, Elena, Maiocchi, Laura, Zuccaro, Valentina, Pagnucco, Layla, Mariani, Bianca, Ludovisi, Serena, Lissandrin, Raffaella, Parisi, Aldo, Sacchi, Paolo, Patruno, Savino F. A., Michelone, Giuseppe, Gulminetti, Roberto, Zanaboni, Domenico, Novati, Stefano, Maserati, Renato, Orsolini, Paolo, Vecchia, Marco, Asperges, Erika, Di Filippo, Alessandro, Sambo, Margherita, Biscarini, Simona, Lupi, Matteo, Roda, Silvia, Gallazzi, Ilaria, Sachs, Michele, Valsecchi, Pietro, Ferrari, Alessandra, Bosio, Matteo, Cascina, Alessandro, Conio, Valentina, Di Domenica, Rita, Donnetta, Anna, Fraolini, Elia, Gualtieri, Giuseppe, Mangiarotti, Patrizia, Mariani, Francesca, Meloni, Federica, Oggionni, Tiberio, Pasturenzi, Lidia, Ronzoni, Vanessa, Saracino, Laura, Stella, Giulia, Tomaselli, Stefano, Abbate, Tommaso, Accordino, Giulia, Bertuccio, Francesco, Burattini, Cecilia, Cacciatore, Elisa, Cattaneo, Elena, Chino, Vittorio, Coretti, Manuela, Della Zoppa, Matteo, Infusino, Cristina, Lettieri, Sara, Maccabruni, Valeria, Mancinelli, Silvia, Tirelli, Claudio, and Vertui, Valentina

Subjects
Adult, Male, medicine.medical_specialty, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), MEDLINE, Tertiary referral hospital, Single Center, Statistics, Nonparametric, Tertiary Care Centers, Prevalence, Internal Medicine, medicine, Humans, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Aged, Retrospective Studies, Aged, 80 and over, Academic Medical Centers, Task force, business.industry, Correction, COVID-19, Venous Thromboembolism, Middle Aged, Northern italy, Italy, Emergency medicine, Emergency Medicine, Female, business, Venous thromboembolism
Abstract

Preliminary evidence supports the notion that COVID-19 patients may have an increased susceptibility to develop venous thromboembolism (VTE). However, the magnitude of this association still needs to be defined. Furthermore, clinical predictors of thrombogenesis, and the relationship with the inflammatory status are currently unknown. On this basis, we conducted a retrospective, observational study on 259 consecutive COVID-19 patients admitted to an academic tertiary referral hospital in Northern Italy between March 19th and April 6th, 2020. Records of COVID-19 patients with a definite VTE event were reviewed for demographic information, co-morbidities, risk factors for VTE, laboratory tests, and anticoagulation treatment. Twenty-five cases among 259 COVID-19 patients developed VTE (9.6%), all of them having a Padua score 4, although being under standard anticoagulation prophylaxis since hospital admission. In the VTE subcohort, we found a significant positive correlation between platelet count (PLT) and either C reactive protein (CRP) (p 0.0001) or lactate dehydrogenase (LDH) (p = 0.0013), while a significant inverse correlation was observed between PLT and mean platelet volume (p 0.0001). Platelet-to-lymphocyte ratio significantly correlated with CRP (p 0.0001). The majority of VTE patients was male and younger compared to non-VTE patients (p = 0.002 and p = 0.005, respectively). No significant difference was found in D-dimer levels between VTE and non VTE patients, while significantly higher levels of LDH (p = 0.04) and IL-6 (p = 0.04) were observed in VTE patients in comparison to non-VTE patients. In conclusion, our findings showed a quite high prevalence of VTE in COVID-19 patients. Raised inflammatory indexes and increased serum levels of pro-inflammatory cytokines should raise the clinical suspicion of VTE.

Published
2021
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42. Un raro caso di sepsi da Citrobacter koseri nell'adulto.

Author

Pistoia, Matteo, Ciola, Mariella, Sala, Girolamo, Foieni, Fabrizio, Agostinelli, Andrea, Valvo, Beatrice, Bellintani, Lorenzo, and Ghiringhelli, Paolo

Subjects
TYPE 2 diabetes, ASTHENIA, PULMONARY embolism, CHEST X rays, ARTHROCENTESIS, MAGNETIC resonance
Abstract

We describe the case of a 53-year-old man, recently diagnosed with decompensated type II diabetes mellitus, admitted to our Department for fever, asthenia, and detection of multiple lung abscesses and pulmonary embolism at chest tomography. His clinical history revealed just a recent orthopedic surgery of osteosynthesis on the left wrist with normal clinical and instrumental post-surgical evolution. Empirical antibiotic therapy with piperacillin/tazobactam and clindamycin was initiated. During hospital stay, swelling and functional impotence in the right knee occurred. They were investigated by arthrocentesis and magnetic resonance, and diagnosed as septic arthritis. Blood culture performed at admission tested positive for Citrobacter koseri on several samples where meropenem was added according to antibiogram. On the other hand, the cultures of bronchoaspirate, pulmonary fine needle aspiration, and arthrocentesis were negative. Antibiotic therapy was administered up to two weeks after discharge and radiological and physical features progressively improved. [ABSTRACT FROM AUTHOR]

Published
2021
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43. Aortic Valve Replacement in Redo-Scenarios: A Comparison Between Traditional Aortic Valve Replacement (TAVR) and Transapical-TAVR from Two Real-World Multicenter Registries

Author

Onorati, Francesco, AUGUSTO D'ONOFRIO, Biancari, Fausto, Salizzoni, Stefano, Feo, Marisa, Agrifoglio, Marco, Mariscalco, Giovanni, Lucchetti, Vincenzo, Messina, Antonio, Musumeci, Francesco, Santarpino, Giuseppe, Esposito, Giampiero, Santini, Francesco, Magagna, Paolo, Beghi, Cesare, Aiello, Marco, Della Ratta, Ester, Savini, Carlo, Troise, Giovanni, Cassese, Mauro, Fischlein, Theodor, Glauber, Mattia, Passerone, Giancarlo, Punta, Giuseppe, Juvonen, Tatu, Alfieri, Ottavio, Gabbieri, Davide, Mangino, Domenico, Agostinelli, Andrea, Livi, Ugolino, Di Gregorio, Omar, Minati, Alessandro, Rinaldi, Mauro, Gino Gerosa, Faggian The Record Ita Investigators, Giuseppe, Onorati, Francesco, D'Onofrio, Augusto, Biancari, Fausto, Salizzoni, Stefano, DE FEO, Marisa, Agrifoglio, Marco, Mariscalco, Giovanni, Lucchetti, Vincenzo, Messina, Antonio, Musumeci, Francesco, Santarpino, Giuseppe, Esposito, Giampiero, Santini, Francesco, Magagna, Paolo, Beghi, Cesare, Aiello, Marco, Della Ratta, Ester, Savini, Carlo, Troise, Giovanni, Cassese, Mauro, Fischlein, Theodor, Glauber, Mattia, Passerone, Giancarlo, Punta, Giuseppe, Juvonen, Tatu, Alfieri, Ottavio, Gabbieri, Davide, Mangino, Domenico, Agostinelli, Andrea, Livi, Ugolino, Di Gregorio, Omar, Minati, Alessandro, Rinaldi, Mauro, Gerosa, Gino, and Faggian The Record Ita Investigators, Giuseppe

Subjects
cardiovascular system
Abstract

The study aim was to compare the outcome of transapical transcatheter aortic valve replacement (TaTAVR) and traditional aortic valve replacement (AVR) in redo from two real-world registries.The 30-day and follow up outcome of 462 patients enrolled in two multicenter redo registries, treated with redo-AVR (RAVR; n = 292 patients) or TaTAVR (n = 170 patients), were analyzed according to VARC-2 criteria, stratified also by propensity-matching analysis.TaTAVR-patients were older and sicker than RAVR patients, and reported a higher all-cause 30-day mortality (p0.01), a higher risk for all-cause mortality (p = 0.006) and cardiovascular mortality (p = 0.05) at follow up, but similar 30-day cardiovascular mortality (p = 0.12). Prolonged intubation (p0.01) and Acute Kidney Injury Network (AKIN) 2/3 p = 0.02) prevailed in RAVR. TaTAVR patients reported a higher level of major/life-threatening/disabling bleeding (p0.01) and 'early safety-events' (ES) (p = 0.04). Thirty-day acute myocardial infarction (AMI), stroke, and follow up freedom from acute heart failure (AHF), from stroke and from reinterventions were similar (p = NS). The NYHA class was better after RAVR (p0.01). The intermediate-to-high risk (Logistic EuroSCORE RAVR 17.1 ± 8.5; TaTAVR 16.0 ± 17.0) propensity-matched population demonstrated comparable 30-day and follow up all-cause and cardiovascular mortality, ES, AMI, stroke, prolonged intubation, follow up freedom from AHF, from stroke and from reinterventions and NYHA class. TaTAVR still reported lower levels of AKIN 2/3 (2.2% versus 15.6%, p = 0.03) and shorter hospitalization (9.5 ± 3.4 days versus 12.0 ± 7.0 days, p = 0.03).Outcome differences between RAVR and TaTAVR in redo-scenarios reflect methodological differences and different baseline risk profiles. Propensity-matched patients showed a better renal outcome after TaTAVR. *Drs. Onorati and D'Onofrio contributed equally to this article and should both be considered as first authors.

Published
2015

50. Long-range angular correlations on the near and away side in p–Pb collisions at sNN=5.02 TeV

Author

Abelev, Betty, Adam, Jaroslav, Adamova, Dagmar, Adare, Andrew Marshall, Aggarwal, Madan, Aglieri Rinella, Gianluca, Agnello, Michelangelo, Agocs, Andras Gabor, Agostinelli, Andrea, Ahammed, Zubayer, Ahmad, Nazeer, Ahmad, Arshad, Ahn, Sul-Ah, Ahn, Sang Un, Ajaz, Muhammad, Akindinov, Alexander, Aleksandrov, Dmitry, Alessandro, Bruno, Alici, Andrea, Alkin, Anton, Almaraz Avina, Erick Jonathan, Alme, Johan, Alt, Torsten, Altini, Valerio, Altinpinar, Sedat, Altsybeev, Igor, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Anielski, Jonas, Anson, Christopher Daniel, Anticic, Tome, Antinori, Federico, Antonioli, Pietro, Aphecetche, Laurent Bernard, Appelshauser, Harald, Arbor, Nicolas, Arcelli, Silvia, Arend, Andreas, Armesto, Nestor, Arnaldi, Roberta, Aronsson, Tomas Robert, Arsene, Ionut Cristian, Arslandok, Mesut, Asryan, Andzhey, Augustinus, Andre, Averbeck, Ralf Peter, Awes, Terry, Aysto, Juha Heikki, Azmi, Mohd Danish, Bach, Matthias Jakob, Badala, Angela, Baek, Yong Wook, Bailhache, Raphaelle Marie, Bala, Renu, Baldini Ferroli, Rinaldo, Baldisseri, Alberto, Dos Santos Pedrosa, Fernando Baltasar, Ban, Jaroslav, Baral, Rama Chandra, Barbera, Roberto, Barile, Francesco, Barnafoldi, Gergely Gabor, Barnby, Lee Stuart, Barret, Valerie, Bartke, Jerzy Gustaw, Basile, Maurizio, Bastid, Nicole, Basu, Sumit, Bathen, Bastian, Batigne, Guillaume, Batyunya, Boris, Baumann, Christoph Heinrich, Bearden, Ian Gardner, Beck, Hans, Behera, Nirbhay Kumar, Belikov, Iouri, Bellini, Francesca, Bellwied, Rene, Belmont-Moreno, Ernesto, Bencedi, Gyula, Beole, Stefania, Berceanu, Ionela, Bercuci, Alexandru, Berdnikov, Yaroslav, Berenyi, Daniel, Bergognon, Anais Annick Erica, Berzano, Dario, Betev, Latchezar, Bhasin, Anju, Bhati, Ashok Kumar, Bhom, Jihyun, Bianchi, Livio, Bianchi, Nicola, Bielcik, Jaroslav, Bielcikova, Jana, Bilandzic, Ante, Bjelogrlic, Sandro, Blanco, Francesco, Blanco, F., Blau, Dmitry, Blume, Christoph, Boccioli, Marco, Boettger, Stefan, Bogdanov, Alexey, Boggild, Hans, Bogolyubsky, Mikhail, Boldizsar, Laszlo, Bombara, Marek, Book, Julian, Borel, Herve, Borissov, Alexander, Bossu, Francesco, Botje, Michiel, Botta, Elena, Braidot, Ermes, Braun-Munzinger, Peter, Bregant, Marco, Breitner, Timo Gunther, Broker, Theo Alexander, Browning, Tyler Allen, Broz, Michal, Brun, Rene, Bruna, Elena, Bruno, Giuseppe Eugenio, Budnikov, Dmitry, Buesching, Henner, Bufalino, Stefania, Buncic, Predrag, Busch, Oliver, Zinhle Buthelezi, Edith, Caballero Orduna, Diego, Caffarri, Davide, Cai, Xu, Caines, Helen Louise, Calvo Villar, Ernesto, Camerini, Paolo, Canoa Roman, Veronica, Romeo, Giovanni Cara, Carena, Wisla, Carena, Francesco, Filho, Nelson Carlin, Carminati, Federico, Casanova Diaz, Amaya Ofelia, Castillo Castellanos, Javier Ernesto, Castillo Hernandez, Juan Francisco, Casula, Ester Anna Rita, Catanescu, Vasile, Cavicchioli, Costanza, Ceballos Sanchez, Cesar, Cepila, Jan, Cerello, Piergiaio, Chang, Beomsu, Chapeland, Sylvain, Charvet, Jean-Luc Fernand, Chattopadhyay, Sukalyan, Chattopadhyay, Subhasis, Chawla, Isha, Cherney, Michael Gerard, Cheshkov, Cvetan, Cheynis, Brigitte, Chibante Barroso, Vasco Miguel, Chinellato, David, Chochula, Peter, Chojnacki, Marek, Choudhury, Subikash, Christakoglou, Panagiotis, Christensen, Christian Holm, Christiansen, Peter, Chujo, Tatsuya, Chung, Suh-Urk, Cicalo, Corrado, Cifarelli, Luisa, Cindolo, Federico, Cleymans, Jean Willy Andre, Coccetti, Fabrizio, Colamaria, Fabio, Colella, Domenico, Collu, Alberto, Conesa Balbastre, Gustavo, Conesa del Valle, Zaida, Connors, Megan Elizabeth, Contin, Giacomo, Contreras, Jesus Guillermo, Cormier, Thomas Michael, Corrales Morales, Yasser, Cortese, Pietro, Maldonado, Ismael Cortes, Cosentino, Mauro Rogerio, Costa, Filippo, Cotallo, Manuel Enrique, Crescio, Elisabetta, Crochet, Philippe, Alaniz, Emilia Cruz, Albino, Rigoberto Cruz, Cuautle, Eleazar, Cunqueiro, Leticia, Dainese, Andrea, Hjersing Dalsgaard, Hans, Danu, Andrea, Das, Indranil, Das, Debasish, Das, Supriya, Das, Kushal, Dash, Ajay Kumar, Dash, Sadhana, De, Sudipan, de Barros, Gabriel, De Caro, Annalisa, de Cataldo, Giacinto, de Cuveland, Jan, De Falco, Alessandro, De Gruttola, Daniele, Delagrange, Hugues, Deloff, Andrzej, De Marco, Nora, Denes, Ervin, De Pasquale, Salvatore, Deppman, Airton, DʼErasmo, Ginevra, de Rooij, Raoul Stefan, Diaz Corchero, Miguel Angel, Di Bari, Domenico, Dietel, Thomas, Di Giglio, Carmelo, Di Liberto, Sergio, Di Mauro, Antonio, Di Nezza, Pasquale, Divia, Roberto, Djuvsland, Oeystein, Dobrin, Alexandru Florin, Dobrowolski, Tadeusz Antoni, Donigus, Benjamin, Dordic, Olja, Driga, Olga, Dubey, Anand Kumar, Dubla, Andrea, Ducroux, Laurent, Dupieux, Pascal, Dutta Majumdar, A.K., Elia, Domenico, Emschermann, David Philip, Engel, Heiko, Erazmus, Barbara, Austrheim Erdal, Hege, Espagnon, Bruno, Estienne, Magali Danielle, Esumi, Shinichi, Evans, David, Eyyubova, Gyulnara, Fabris, Daniela, Faivre, Julien, Falchieri, Davide, Fantoni, Alessandra, Fasel, Markus, Worsley Fearick, Roger, Fehlker, Dominik, Feldkamp, Linus, Felea, Daniel, Feliciello, Alessandro, Fenton-Olsen, Bo, Feofilov, Grigory, Tellez, Arturo Fernandez, Ferretti, Alessandro, Festanti, Andrea, Figiel, Jan, Figueredo, Marcel, Filchagin, Sergey, Finogeev, Dmitry, Fionda, Fiorella, Fiore, Enrichetta Maria, Floratos, Emmanuel, Floris, Michele, Foertsch, Siegfried Valentin, Foka, Panagiota, Fokin, Sergey, Fragiacomo, Enrico, Francescon, Andrea, Frankenfeld, Ulrich Michael, Fuchs, Ulrich, Furget, Christophe, Fusco Girard, Mario, Gaardhoje, Jens Joergen, Gagliardi, Martino, Gago, Alberto, Gallio, Mauro, Gangadharan, Dhevan Raja, Ganoti, Paraskevi, Garabatos, Jose, Garcia-Solis, Edmundo, Garishvili, Irakli, Gerhard, Jochen, Germain, Marie, Geuna, Claudio, Gheata, Mihaela, Geae Gheata, Andrei, Ghidini, Bruno, Ghosh, Premomoy, Gianotti, Paola, Girard, Martin Robert, Giubellino, Paolo, Gladysz-Dziadus, Ewa, Glassel, Peter, Gomez, Ramon, Ferreiro, Elena Gonzalez, Gonzalez-Trueba, Laura Helena, Gonzalez-Zamora, Pedro, Gorbunov, Sergey, Goswami, Ankita, Gotovac, Sven, Graczykowski, Lukasz Kamil, Grajcarek, Robert, Grelli, Alessandro, Grigoras, Costin, Grigoras, Alina Gabriela, Grigoriev, Vladislav, Grigoryan, Ara, Grigoryan, Smbat, Grinyov, Boris, Grion, Nevio, Gros, Philippe, Grosse-Oetringhaus, Jan Fiete, Grossiord, Jean-Yves, Grosso, Raffaele, Guber, Fedor, Guernane, Rachid, Guerzoni, Barbara, Guilbaud, Maxime Rene Joseph, Herlache Gulbrandsen, Kristjan, Gulkanyan, Hrant, Gunji, Taku, Gupta, Anik, Gupta, Ramni, Haake, Rudiger, Haaland, Oystein Senneset, Hadjidakis, Cynthia Marie, Haiduc, Maria, Hamagaki, Hideki, Hamar, Gergoe, Han, Byounghee, Hanratty, Luke David, Hansen, Alexander, Harmanova, Zuzana, Harris, John William, Hartig, Matthias, Harton, Austin, Hatzifotiadou, Despoina, Hayashi, Shinichi, Hayrapetyan, Arsen, Heckel, Stefan Thomas, Heide, Markus Ansgar, Helstrup, Haavard, Herghelegiu, Andrei Ionut, Herrera Corral, Gerardo Antonio, Herrmann, Norbert, Hess, Benjamin Andreas, Fanebust Hetland, Kristin, Hicks, Bernard, Hippolyte, Boris, Hori, Yasuto, Zahariev Hristov, Peter, Hrivnacova, Ivana, Huang, Meidana, Humanic, Thomas, Hwang, Dae Sung, Ichou, Raphaelle, Ilkaev, Radiy, Ilkiv, Iryna, Inaba, Motoi, Incani, Elisa, Giaio Innocenti, Pier, Innocenti, Gian Michele, Ippolitov, Mikhail, Irfan, Muhammad, Geae Ivan, Cristian, Ivanov, Vladimir, Ivanov, Andrey, Ivanov, Marian, Ivanytskyi, Oleksii, Jacholkowski, Adam Wlodzimierz, Jacobs, Peter, Jin Jang, Haeng, Janik, Malgorzata Anna, Janik, Rudolf, Jayarathna, Sandun, Jena, Satyajit, Jha, Deeptanshu Manu, Tonatiuh Jimenez Bustamante, Raul, Jones, Peter Graham, Taik Jung, Hyung, Jusko, Anton, Kaidalov, Alexei, Kalcher, Sebastian, Kalinak, Peter, Kalliokoski, Tuomo Esa Aukusti, Kalweit, Alexander Philipp, Hwan Kang, Ju, Kaplin, Vladimir, Karasu Uysal, Ayben, Karavichev, Oleg, Karavicheva, Tatiana, Karpechev, Evgeny, Kazantsev, Andrey, Kebschull, Udo Wolfgang, Keidel, Ralf, Khan, Palash, Ahmad Khan, Shuaib, Mohammed Khan, Mohisin, Khan, Kamal Hussain, Khanzadeev, Alexei, Kharlov, Yury, Kileng, Bjarte, Kim, Beomkyu, Kim, Jin Sook, Kim, Jonghyun, Kim, Dong Jo, Kim, Do Won, Kim, Taesoo, Kim, Se Yong, Kim, Mimae, Kim, Minwoo, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergey, Kisiel, Adam Ryszard, Klay, Jennifer Lynn, Klein, Jochen, Klein-Bosing, Christian, Kliemant, Michael, Kluge, Alexander, Knichel, Michael Linus, Knospe, Anders Garritt, Kohler, Markus, Kollegger, Thorsten, Kolojvari, Anatoly, Kompaniets, Mikhail, Kondratiev, Valery, Kondratyeva, Natalia, Konevskih, Artem, Kovalenko, Vladimir, Kowalski, Marek, Kox, Serge, Koyithatta Meethaleveedu, Greeshma, Kral, Jiri, Kralik, Ivan, Kramer, Frederick, Kravcakova, Adela, Krawutschke, Tobias, Krelina, Michal, Kretz, Matthias, Krivda, Marian, Krizek, Filip, Krus, Miroslav, Kryshen, Evgeny, Krzewicki, Mikolaj, Kucheriaev, Yury, Kugathasan, Thanushan, Kuhn, Christian Claude, Kuijer, Paul, Kulakov, Igor, Kumar, Jitendra, Kurashvili, Podist, Kurepin, A., Kurepin, A.B., Kuryakin, Alexey, Kushpil, Svetlana, Kushpil, Vasily, Kvaerno, Henning, Kweon, Min Jung, Kwon, Youngil, de Guevara, Pedro Ladron, Lakomov, Igor, Langoy, Rune, La Pointe, Sarah Louise, Lara, Camilo Ernesto, Lardeux, Antoine Xavier, La Rocca, Paola, Lea, Ramona, Lechman, Mateusz, Lee, Ki Sang, Lee, Sung Chul, Lee, Graham Richard, Legrand, Iosif, Lehnert, Joerg Walter, Lenhardt, Matthieu Laurent, Lenti, Vito, Leon, Hermes, Monzon, Ildefonso Leon, Vargas, Hermes Leon, Levai, Peter, Li, Shuang, Lien, Jaen, Lietava, Roman, Lindal, Svein, Lindenstruth, Volker, Lippmann, Christian, Lisa, Michael Annan, Ljunggren, Hans Martin, Loenne, Per-Ivar, Loggins, Vera, Loginov, Vitaly, Lohner, Daniel, Loizides, Constantinos, Loo, Kai Krister, Lopez, Xavier Bernard, Lopez Torres, Ernesto, Lovhoiden, Gunnar, Lu, Xianguo, Luettig, Philipp, Lunardon, Marcello, Luo, Jiebin, Luparello, Grazia, Luzzi, Cinzia, Ma, Rongrong, Ma, Ke, Minthaka Madagodahettige-Don, Dilan, Maevskaya, Alla, Mager, Magnus, Mahapatra, Durga Prasad, Maire, Antonin, Malaev, Mikhail, Maldonado Cervantes, Ivonne Alicia, Malinina, Ludmila, MalʼKevich, Dmitry, Malzacher, Peter, Mamonov, Alexander, Manceau, Loic Henri Antoine, Mangotra, Lalit Kumar, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Marchisone, Massimiliano, Mares, Jiri, Margagliotti, Giacomo Vito, Margotti, Anselmo, Marin, Ana Maria, Markert, Christina, Marquard, Marco, Martashvili, Irakli, Martin, Nicole Alice, Martinengo, Paolo, Martinez, Mario Ivan, Martinez Davalos, Arnulfo, Garcia, Gines Martinez, Martynov, Yevgen, Mas, Alexis Jean-Michel, Masciocchi, Silvia, Masera, Massimo, Masoni, Alberto, Massacrier, Laure Marie, Mastroserio, Annalisa, Matyja, Adam Tomasz, Mayer, Christoph, Mazer, Joel, Mazzoni, Alessandra Maria, Meddi, Franco, Menchaca-Rocha, Arturo Alejandro, Mercado Perez, Jae, Meres, Michal, Miake, Yasuo, Milano, Leonardo, Milosevic, Jovan, Mischke, Andre, Nath Mishra, Aditya, Miskowiec, Dariusz, Mitu, Ciprian Mihai, Mizuno, Sanshiro, Mlynarz, Jocelyn, Mohanty, Bedangadas, Molnar, Levente, Zetina, Luis Manuel Montano, Monteno, Marco, Montes, Esther, Moon, Taebong, Morando, Maurizio, Aparecida Moreira De Godoy, Denise, Moretto, Sandra, Morreale, Astrid, Morsch, Andreas, Muccifora, Valeria, Mudnic, Eugen, Muhuri, Sanjib, Mukherjee, Maitreyee, Muller, Hans, Munhoz, Marcelo, Murray, Sean, Musa, Luciano, Musinsky, Jan, Musso, Alfredo, Nandi, Basanta Kumar, Nania, Rosario, Nappi, Eugenio, Nattrass, Christine, Nayak, Tapan Kumar, Nazarenko, Sergey, Nedosekin, Alexander, Nicassio, Maria, Niculescu, Mihai, Nielsen, Bae Svane, Niida, Takafumi, Nikolaev, Sergey, Nikolic, Vedran, Nikulin, Sergey, Nikulin, Vladimir, Nilsen, Bjorn Steven, Stormo Nilsson, Mads, Noferini, Francesco, Nomokonov, Petr, Nooren, Gerardus, Novitzky, Norbert, Nyanin, Alexandre, Nyatha, Anitha, Nygaard, Casper, Nystrand, Joakim Ingemar, Ochirov, Alexander, Oeschler, Helmut Oskar, Oh, Saehanseul, Kun Oh, Sun, Oleniacz, Janusz, Da Silva, Antonio Carlos Oliveira, Oppedisano, Chiara, Ortiz Velasquez, Antonio, Oskarsson, Anders Nils Erik, Ostrowski, Piotr Krystian, Otwinowski, Jacek Tomasz, Oyama, Ken, Ozawa, Kyoichiro, Pachmayer, Yvonne Chiara, Pachr, Milos, Padilla, Fatima, Pagano, Paola, Paic, Guy, Painke, Florian, Pajares, Carlos, Pal, Susanta Kumar, Palaha, Arvinder Singh, Palmeri, Armando, Papikyan, Vardanush, Pappalardo, Giuseppe, Jin Park, Woo, Passfeld, Annika, Pastircak, Blahoslav, Ivanovich Patalakha, Dmitri, Paticchio, Vincenzo, Paul, Biswarup, Pavlinov, Alexei, Pawlak, Tomasz Jan, Peitzmann, Thomas, Pereira Da Costa, Hugo Denis Antonio, Pereira De Oliveira Filho, Elienos, Peresunko, Dmitri, Perez Lara, Carlos Eugenio, Perini, Diego, Perrino, Davide, Peryt, Wiktor Stanislaw, Pesci, Alessandro, Peskov, Vladimir, Pestov, Yury, Petracek, Vojtech, Petran, Michal, Petris, Mariana, Petrov, Plamen Rumenov, Petrovici, Mihai, Petta, Catia, Piano, Stefano, Pikna, Miroslav, Pillot, Philippe, Pinazza, Ombretta, Pinsky, Lawrence, Pitz, Nora, Piyarathna, Danthasinghe, Planinic, Mirko, Ploskon, Mateusz Andrzej, Pluta, Jan Marian, Pocheptsov, Timur, Pochybova, Sona, Podesta Lerma, Pedro Luis Manuel, Poghosyan, Martin, Polak, Karel, Polichtchouk, Boris, Pop, Amalia, Porteboeuf-Houssais, Sarah, Pospisil, Vladimir, Potukuchi, Baba, Kumar Prasad, Sidharth, Preghenella, Roberto, Prino, Francesco, Pruneau, Claude Andre, Pshenichnov, Igor, Puddu, Giovanna, Punin, Valery, Putis, Marian, Putschke, Jorn Henning, Quercigh, Emanuele, Qvigstad, Henrik, Rachevski, Alexandre, Rademakers, Alphonse, Raiha, Tomi Samuli, Rak, Jan, Rakotozafindrabe, Andry Malala, Ramello, Luciano, Reyes, Abdiel Ramirez, Raniwala, Rashmi, Raniwala, Sudhir, Rasanen, Sami Sakari, Rascanu, Bogdan Theodor, Rathee, Deepika, Read, Kenneth Francis, Real, Jean-Sebastien, Redlich, Krzysztof, Reed, Rosi Jan, Ur Rehman, Attiq, Reichelt, Patrick, Reicher, Martijn, Renfordt, Rainer Arno Ernst, Reolon, Anna Rita, Reshetin, Andrey, Rettig, Felix Vincenz, Revol, Jean-Pierre, Reygers, Klaus Johannes, Riccati, Lodovico, Ricci, Renato Angelo, Richert, Tuva, Richter, Matthias Rudolph, Riedler, Petra, Riegler, Werner, Riggi, Francesco, Rodriguez Cahuantzi, Mario, Rodriguez Manso, Alis, Roed, Ketil, Rohr, David, Rohrich, Dieter, Romita, Rosa, Ronchetti, Federico, Rosnet, Philippe, Rossegger, Stefan, Rossi, Andrea, Roy, Christelle Sophie, Roy, Pradip Kumar, Rubio Montero, Antonio Juan, Rui, Rinaldo, Russo, Riccardo, Ryabinkin, Evgeny, Rybicki, Andrzej, Sadovsky, Sergey, Safarik, Karel, Sahoo, Raghunath, Sahu, Pradip Kumar, Saini, Jogender, Sakaguchi, Hiroaki, Sakai, Shingo, Sakata, Dosatsu, Salgado, Carlos Albert, Salzwedel, Jai, Sambyal, Sanjeev Singh, Samsonov, Vladimir, Sanchez Castro, Xitzel, Sandor, Ladislav, Sandoval, Andres, Sano, Masato, Santagati, Gianluca, Santoro, Romualdo, Sarkamo, Juho Jaako, Scapparone, Eugenio, Scarlassara, Fernando, Scharenberg, Rolf Paul, Schiaua, Claudiu Cornel, Schicker, Rainer Martin, Schmidt, Christian Joachim, Schmidt, Hans Rudolf, Schuchmann, Simone, Schukraft, Jurgen, Schuster, Tim, Schutz, Yves Roland, Schwarz, Kilian Eberhard, Schweda, Kai Oliver, Scioli, Gilda, Scomparin, Enrico, Scott, Patrick Aaron, Scott, Rebecca, Segato, Gianfranco, Selyuzhenkov, Ilya, Senyukov, Serhiy, Seo, Jeewon, Serci, Sergio, Serradilla, Eulogio, Sevcenco, Adrian, Shabetai, Alexandre, Shabratova, Galina, Shahoyan, Ruben, Sharma, Natasha, Sharma, Satish, Sharma, Rohini, Shigaki, Kenta, Shtejer, Katherin, Sibiriak, Yury, Sicking, Eva, Siddhanta, Sabyasachi, Siemiarczuk, Teodor, Silvermyr, David Olle Rickard, Silvestre, Catherine, Simatovic, Goran, Simonetti, Giuseppe, Singaraju, Rama Narayana, Singh, Ranbir, Singha, Subhash, Singhal, Vikas, Sinha, Bikash, Sinha, Tinku, Sitar, Branislav, Sitta, Mario, Skaali, Bernhard, Skjerdal, Kyrre, Smakal, Radek, Smirnov, Nikolai, Snellings, Raimond, Sogaard, Carsten, Soltz, Ron Ariel, Son, Hyungsuk, Song, Jihye, Song, Myunggeun, Soos, Csaba, Soramel, Francesca, Sputowska, Iwona, Spyropoulou-Stassinaki, Martha, Srivastava, Brijesh Kumar, Stachel, Johanna, Stan, Ionel, Stefanek, Grzegorz, Steinpreis, Matthew, Stenlund, Evert Anders, Steyn, Gideon Francois, Stiller, Johannes Hendrik, Stocco, Diego, Stolpovskiy, Mikhail, Strmen, Peter, Alarcon do Passo Suaide, Alexandre, Subieta Vasquez, Martin Alfonso, Sugitate, Toru, Suire, Christophe Pierre, Sultanov, Rishat, Sumbera, Michal, Susa, Tatjana, Symons, Timothy, Szanto de Toledo, Alejandro, Szarka, Imrich, Szczepankiewicz, Adam, Szostak, Artur Krzysztof, Szymanski, Maciej, Takahashi, Jun, Tapia Takaki, Daniel Jesus, Tarantola Peloni, Attilio, Tarazona Martinez, Alfonso, Tauro, Arturo, Tejeda Munoz, Guillermo, Telesca, Adriana, Terrevoli, Cristina, Thader, Jochen Mathias, Thomas, Deepa, Tieulent, Raphael Noel, Timmins, Anthony, Tlusty, David, Toia, Alberica, Torii, Hisayuki, Toscano, Luca, Trubnikov, Victor, Truesdale, David Christopher, Trzaska, Wladyslaw Henryk, Tsuji, Tomoya, Tumkin, Alexandr, Turrisi, Rosario, Spedstad Tveter, Trine, Glyndwr Ulery, Jason, Ullaland, Kjetil, Ulrich, Jochen, Uras, Antonio, Urban, Jozef, Urciuoli, Guido Marie, Usai, Gianluca, Vajzer, Michal, Vala, Martin, Valencia Palomo, Lizardo, Vallero, Sara, Vyvre, Pierre Vande, van Leeuwen, Marco, Vannucci, Luigi, Diozcora Vargas, Aurora, Varma, Raghava, Vasileiou, Maria, Vasiliev, Andrey, Vechernin, Vladimir, Veldhoen, Misha, Venaruzzo, Massimo, Vercellin, Ermanno, Vergara, Sergio, Vernet, Renaud, Verweij, Marta, Vickovic, Linda, Viesti, Giuseppe, Viinikainen, Jussi, Vilakazi, Zabulon, Villalobos Baillie, Orlando, Vinogradov, Yury, Vinogradov, Alexander, Vinogradov, Leonid, Virgili, Tiziano, Viyogi, Yogendra, Vodopianov, Alexander, Voloshin, Sergey, Voloshin, Kirill, Volpe, Giacomo, von Haller, Barthelemy, Vorobyev, Ivan, Vranic, Danilo, Vrlakova, Janka, Vulpescu, Bogdan, Vyushin, Alexey, Wagner, Boris, Wagner, Vladimir, Wan, Renzhuo, Wang, Yaping, Wang, Yifei, Wang, Mengliang, Wang, Dong, Watanabe, Kengo, Weber, Michael, Wessels, Johannes, Westerhoff, Uwe, Wiechula, Jens, Wikne, Jon, Wilde, Martin Rudolf, Wilk, Grzegorz Andrzej, Wilk, Alexander, Williams, Crispin, Windelband, Bernd Stefan, Xaplanteris Karampatsos, Leonidas, Yaldo, Chris G., Yamaguchi, Yorito, Yang, Hongyan, Yang, Shiming, Yasnopolsky, Stanislav, Yi, JunGyu, Yin, Zhongbao, Yoo, In-Kwon, Yoon, Jongik, Yu, Weilin, Yuan, Xianbao, Yushmanov, Igor, Zaccolo, Valentina, Zach, Cenek, Zampolli, Chiara, Zaporozhets, Sergey, Zarochentsev, Andrey, Zavada, Petr, Zaviyalov, Nikolai, Zbroszczyk, Hanna Paulina, Zelnicek, Pierre, Zgura, Sorin Ion, Zhalov, Mikhail, Zhang, Haitao, Zhang, Xiaoming, Zhou, Fengchu, Zhou, You, Zhou, Daicui, Zhu, Hongsheng, Zhu, Jianhui, Zhu, Jianlin, Zhu, Xiangrong, Zichichi, Antonino, Zimmermann, Alice, Zinovjev, Gennady, Zoccarato, Yannick Denis, Zynovyev, Mykhaylo, and Zyzak, Maksym

Subjects
Nuclear and High Energy Physics
Published
2013
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