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2,151 results on '"Fernandez, Ana"'

1. The 2-domination number of cylindrical graphs

Author

Martínez, José Antonio, Castaño-Fernández, Ana Belén, and Puertas, María Luz

Subjects
Mathematics - Combinatorics, Computer Science - Discrete Mathematics, 05C69, 05C85, 15A80
Abstract

A vertex subset S of a graph G is said to 2-dominate the graph if each vertex not in S has at least two neighbors in it. As usual, the associated parameter is the minimum cardinal of a 2-dominating set, which is called the 2-domination number of the graph G. We present both lower and upper bounds of the 2-domination number of cylinders, which are the Cartesian products of a path and a cycle. These bounds allow us to compute the exact value of the 2-domination number of cylinders where the path is arbitrary, and the order of the cycle is n $\equiv$ 0(mod 3) and as large as desired. In the case of the lower bound, we adapt the technique of the wasted domination to this parameter and we use the so-called tropical matrix product to obtain the desired bound. Moreover, we provide a regular patterned construction of a minimum 2-dominating set in the cylinders having the mentioned cycle order., Comment: 19 pages, 4 figures

Published
2024
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3. INRISCO: INcident monitoRing In Smart COmmunities

Author

Igartua, Mónica Aguilar, Almenares, Florina, Redondo, Rebeca P. Díaz, Martín, Manuela I., Forné, Jordi, Campo, Celeste, Fernández, Ana, de la Cruz, Luis J., García-Rubio, Carlos, Marínn, Andrés, Mezher, Ahmad Mohamad, Díaz, Daniel, Cerezo, Héctor, Rebollo-Monedero, David, Arias, Patricia, and Rico, Francisco

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Major advances in information and communication technologies (ICTs) make citizens to be considered as sensors in motion. Carrying their mobile devices, moving in their connected vehicles or actively participating in social networks, citizens provide a wealth of information that, after properly processing, can support numerous applications for the benefit of the community. In the context of smart communities, the INRISCO proposal intends for (i) the early detection of abnormal situations in cities (i.e., incidents), (ii) the analysis of whether, according to their impact, those incidents are really adverse for the community; and (iii) the automatic actuation by dissemination of appropriate information to citizens and authorities. Thus, INRISCO will identify and report on incidents in traffic (jam, accident) or public infrastructure (e.g., works, street cut), the occurrence of specific events that affect other citizens life (e.g., demonstrations, concerts), or environmental problems (e.g., pollution, bad weather). It is of particular interest to this proposal the identification of incidents with a social and economic impact, which affects the quality of life of citizens.

Published
2023
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6. How different attributes are weighted in professionals’ decision-making in Pediatric Dentistry—a protocol for guiding discrete choice experiment focused on shortening the evidence-based practice implementation for dental care

Author

Machado, Gabriela Manco, Luca, Ana Clara Falabello, Pereira, Renata Paz Leal, Fernandez, Ana Yne, Rodrigues, Lucas Gabriel Santini, Leite, Isabella Petroline, Cenci, Maximiliano Sergio, Cenci, Tatiana Pereira, Santos, Ana Paula Pires, Oliveira, Branca Heloisa, Nadanovsky, Paulo, Lima, Marina Deus Moura, Moura, Marcoeli Silva, Lucena, Edson Hilan Gomes, Lenzi, Tathiane Larissa, Crispim, Ana Carla, Carrer, Fernanda Campos Almeida, Gabriel, Mariana, Lira, Claudia Cazal, Gurgel, Carla Vecchione, Pinheiro, Helder Henrique Costa, Pucca, Gilberto Alfredo, Martins, Fábio Carneiro, Calvasina, Paola Gondim, Tricoli, Maria Fernanda Montezuma, Branco, Camila Menezes Costa Castelo, Freitas, Raiza Dias, Imparato, José Carlos Pettorossi, Raggio, Daniela Prócida, Tedesco, Tamara Kerber, Mendes, Fausto Medeiros, and Braga, Mariana Minatel

Published
2024
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9. Overview of The MediaEval 2022 Predicting Video Memorability Task

Author

Sweeney, Lorin, Constantin, Mihai Gabriel, Demarty, Claire-Hélène, Fosco, Camilo, de Herrera, Alba G. Seco, Halder, Sebastian, Healy, Graham, Ionescu, Bogdan, Matran-Fernandez, Ana, Smeaton, Alan F., and Sultana, Mushfika

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Multimedia
Abstract

This paper describes the 5th edition of the Predicting Video Memorability Task as part of MediaEval2022. This year we have reorganised and simplified the task in order to lubricate a greater depth of inquiry. Similar to last year, two datasets are provided in order to facilitate generalisation, however, this year we have replaced the TRECVid2019 Video-to-Text dataset with the VideoMem dataset in order to remedy underlying data quality issues, and to prioritise short-term memorability prediction by elevating the Memento10k dataset as the primary dataset. Additionally, a fully fledged electroencephalography (EEG)-based prediction sub-task is introduced. In this paper, we outline the core facets of the task and its constituent sub-tasks; describing the datasets, evaluation metrics, and requirements for participant submissions., Comment: 6 pages. In: MediaEval Multimedia Benchmark Workshop Working Notes, 2022

Published
2022

10. Experiences from the MediaEval Predicting Media Memorability Task

Author

de Herrera, Alba García Deco, Constantin, Mihai Gabriel, Demarty, Chaire-Hélène, Fosco, Camilo, Halder, Sebastian, Healy, Graham, Ionescu, Bogdan, Matran-Fernandez, Ana, Smeaton, Alan F., Sultana, Mushfika, and Sweeney, Lorin

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence
Abstract

The Predicting Media Memorability task in the MediaEval evaluation campaign has been running annually since 2018 and several different tasks and data sets have been used in this time. This has allowed us to compare the performance of many memorability prediction techniques on the same data and in a reproducible way and to refine and improve on those techniques. The resources created to compute media memorability are now being used by researchers well beyond the actual evaluation campaign. In this paper we present a summary of the task, including the collective lessons we have learned for the research community., Comment: 7 pages, 2 figures, 1 table. Presented at the NeurIPS 2022 Workshop on Memory in Artificial and Real Intelligence (MemARI), 2 December 2022, New Orleans, USA

Published
2022

11. Greater traditionalism predicts COVID-19 precautionary behaviors across 27 societies.

Author

Samore, Theodore, Fessler, Daniel MT, Sparks, Adam Maxwell, Holbrook, Colin, Aarøe, Lene, Baeza, Carmen Gloria, Barbato, María Teresa, Barclay, Pat, Berniūnas, Renatas, Contreras-Garduño, Jorge, Costa-Neves, Bernardo, Del Pilar Grazioso, Maria, Elmas, Pınar, Fedor, Peter, Fernandez, Ana Maria, Fernández-Morales, Regina, Garcia-Marques, Leonel, Giraldo-Perez, Paulina, Gul, Pelin, Habacht, Fanny, Hasan, Youssef, Hernandez, Earl John, Jarmakowski, Tomasz, Kamble, Shanmukh, Kameda, Tatsuya, Kim, Bia, Kupfer, Tom R, Kurita, Maho, Li, Norman P, Lu, Junsong, Luberti, Francesca R, Maegli, María Andrée, Mejia, Marinés, Morvinski, Coby, Naito, Aoi, Ng'ang'a, Alice, de Oliveira, Angélica Nascimento, Posner, Daniel N, Prokop, Pavol, Shani, Yaniv, Solorzano, Walter Omar Paniagua, Stieger, Stefan, Suryani, Angela Oktavia, Tan, Lynn KL, Tybur, Joshua M, Viciana, Hugo, Visine, Amandine, Wang, Jin, and Wang, Xiao-Tian

Subjects
Humans, Motivation, Public Health, Pandemics, COVID-19, Basic Behavioral and Social Science, Behavioral and Social Science
Abstract

People vary both in their embrace of their society's traditions, and in their perception of hazards as salient and necessitating a response. Over evolutionary time, traditions have offered avenues for addressing hazards, plausibly resulting in linkages between orientations toward tradition and orientations toward danger. Emerging research documents connections between traditionalism and threat responsivity, including pathogen-avoidance motivations. Additionally, because hazard-mitigating behaviors can conflict with competing priorities, associations between traditionalism and pathogen avoidance may hinge on contextually contingent tradeoffs. The COVID-19 pandemic provides a real-world test of the posited relationship between traditionalism and hazard avoidance. Across 27 societies (N = 7844), we find that, in a majority of countries, individuals' endorsement of tradition positively correlates with their adherence to costly COVID-19-avoidance behaviors; accounting for some of the conflicts that arise between public health precautions and other objectives further strengthens this evidence that traditionalism is associated with greater attention to hazards.

Published
2023

12. Microstructure sensitive fatigue life prediction model for SLM fabricated Hastelloy-X

Author

Pilgar, Chandrashekhar M., Fernandez, Ana, and Segurado, Javier

Subjects
Condensed Matter - Materials Science
Abstract

A microstructure-sensitive fatigue life prediction framework based on CP-FFT is proposed to study SLM fabricated Hastelloy-X. The microstructure enters in the model through the shape, size and orientation distributions of grains in the RVEs, which are generated from experimental EBSD data. The framework has been applied to specimens built in two different directions with different polycrystalline microstructures and is able to accurately predict their fatigue life, using just two experiments for calibration. The model reproduces the better fatigue performance found experimentally at high stresses for samples built in transverse direction, identifying the origin of this anisotropy in grain aspect ratios., Comment: In press 2022: International Journal of Fatigue Keywords: Hastelloy-X; Selective Laser Melting ; Microstructure sensitive fatigue; Crystal Plasticity ;FFT based homogenization

Published
2022

21. Overview of the EEG Pilot Subtask at MediaEval 2021: Predicting Media Memorability

Author

Sweeney, Lorin, Matran-Fernandez, Ana, Halder, Sebastian, de Herrera, Alba G. Seco, Smeaton, Alan, and Healy, Graham

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Human-Computer Interaction, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Signal Processing
Abstract

The aim of the Memorability-EEG pilot subtask at MediaEval'2021 is to promote interest in the use of neural signals -- either alone or in combination with other data sources -- in the context of predicting video memorability by highlighting the utility of EEG data. The dataset created consists of pre-extracted features from EEG recordings of subjects while watching a subset of videos from Predicting Media Memorability subtask 1. This demonstration pilot gives interested researchers a sense of how neural signals can be used without any prior domain knowledge, and enables them to do so in a future memorability task. The dataset can be used to support the exploration of novel machine learning and processing strategies for predicting video memorability, while potentially increasing interdisciplinary interest in the subject of memorability, and opening the door to new combined EEG-computer vision approaches., Comment: 3 pages

Published
2021

22. Overview of The MediaEval 2021 Predicting Media Memorability Task

Author

Kiziltepe, Rukiye Savran, Constantin, Mihai Gabriel, Demarty, Claire-Helene, Healy, Graham, Fosco, Camilo, de Herrera, Alba Garcia Seco, Halder, Sebastian, Ionescu, Bogdan, Matran-Fernandez, Ana, Smeaton, Alan F., and Sweeney, Lorin

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Multimedia
Abstract

This paper describes the MediaEval 2021 Predicting Media Memorability}task, which is in its 4th edition this year, as the prediction of short-term and long-term video memorability remains a challenging task. In 2021, two datasets of videos are used: first, a subset of the TRECVid 2019 Video-to-Text dataset; second, the Memento10K dataset in order to provide opportunities to explore cross-dataset generalisation. In addition, an Electroencephalography (EEG)-based prediction pilot subtask is introduced. In this paper, we outline the main aspects of the task and describe the datasets, evaluation metrics, and requirements for participants' submissions., Comment: 3 pages, to appear in Proceedings of MediaEval 2021, December 13-15 2021, Online

Published
2021

23. Risk of Stroke and Incident Atrial Fibrillation in Patients in Sinus Rhythm With Nonischemic Dilated Cardiomyopathy

Author

Ródenas-Alesina, Eduard, Lozano-Torres, Jordi, Tobías-Castillo, Pablo Eduardo, Badia-Molins, Clara, Calvo-Barceló, Maria, Vila-Olives, Rosa, Casas-Masnou, Guillem, San Emeterio, Aleix Olivella, Soriano-Colomé, Toni, Fernández-Galera, Rubén, Méndez-Fernández, Ana B., Barrabés, José A., Rodríguez-Palomares, José, and Ferreira-González, Ignacio

Published
2024
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30. MLL-AF4 cooperates with PAF1 and FACT to drive high-density enhancer interactions in leukemia

Author

Crump, Nicholas T., Smith, Alastair L., Godfrey, Laura, Dopico-Fernandez, Ana M., Denny, Nicholas, Harman, Joe R., Hamley, Joseph C., Jackson, Nicole E., Chahrour, Catherine, Riva, Simone, Rice, Siobhan, Kim, Jaehoon, Basrur, Venkatesha, Fermin, Damian, Elenitoba-Johnson, Kojo, Roeder, Robert G., Allis, C. David, Roberts, Irene, Roy, Anindita, Geng, Huimin, Davies, James O. J., and Milne, Thomas A.

Published
2023
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31. Regional assessment of the historical trends of mercury in sediment cores from Wider Caribbean coastal environments

Author

Bolaños-Alvarez, Yoelvis, Ruiz-Fernández, Ana Carolina, Sanchez-Cabeza, Joan-Albert, Asencio, Misael Díaz, Espinosa, Luisa F., Parra, Juan Pablo, Garay, Jesús, Delanoy, Ramón, Solares, Nicolás, Montenegro, Katia, Peña, Alexis, López, Fabiola, Castillo-Navarro, Ana Carolina, Batista, Miguel Gómez, Quejido-Cabezas, Alberto, Metian, Marc, Pérez-Bernal, Libia Hascibe, and Alonso-Hernández, Carlos M.

Published
2024
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32. Potentially toxic elements fluxes in 210Pb-dated sediment cores from a large coastal lagoon (southern Gulf of Mexico) under environmental stress

Author

Ontiveros-Cuadras, Jorge Feliciano, Ruiz-Fernández, Ana Carolina, Cardoso-Mohedano, José Gilberto, Pérez-Bernal, Libia Hascibe, Santiago-Pérez, Susana, Velázquez-Reyes, Dea Argelia, Cisneros-Ramos, Zubia Jocelyn, Crisanto-Ruiz, Aarón Samuel, Gómez-Ponce, Mario Alejandro, Flores-Trujillo, Juan Gabriel, and Sanchez-Cabeza, Joan-Albert

Published
2024
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33. A simulation study to compare 210Pb dating data analyses

Author

Aquino-López, Marco A, Sanderson, Nicole K., Blaauw, Maarten, Sanchez-Cabeza, Joan-Albert, Ruiz-Fernandez, Ana Carolina, Aquino-López, J Andrés Christen Marco A, and Christen, J Andrés

Subjects
Statistics - Applications
Abstract

The increasing interest in understanding anthropogenic impacts on the environment have led to a considerable number of studies focusing on sedimentary records for the last $\sim$ 100 - 200 years. Dating this period is often complicated by the poor resolution and large errors associated with radiocarbon (14C) ages, which is the most popular dating technique. To improve age-depth model resolution for the recent period, sediment dating with lead-210 ($^{210}$Pb) is widely used as it provides absolute and continuous dates for the last $\sim$ 100 - 150 years. The $^{210}$Pb dating method has traditionally relied on the Constant Rate of Supply (CRS, also known as Constant Flux - CF) model which uses the radioactive decay equation as an age-depth relationship resulting in a restrictive model to approximate dates. In this work, we compare the classical approach to $^{210}$Pb dating (CRS) and its Bayesian alternative (\textit{Plum}). To do so, we created simulated $^{210}$Pb profiles following three different sedimentation processes, complying with the assumptions imposed by the CRS model, and analysed them using both approaches. Results indicate that the CRS model does not capture the true values even with a high dating resolution for the sediment, nor improves does its accuracy improve as more information is available. On the other hand, the Bayesian alternative (\textit{Plum}) provides consistently more accurate results even with few samples, and its accuracy and precision constantly improves as more information is available., Comment: 15 pages, 6 figures

Published
2020

37. Impacto clínico del tratamiento a distancia de la insuficiencia cardiaca con la alerta multiparamétrica del DAI HeartLogic

Author

de Juan Bagudá, Javier, Cózar León, Rocío, Gavira Gómez, Juan J., Pachón, Marta, Goirigolzarri Artaza, Josebe, Martínez Mateo, Virgilio, Escolar Pérez, Vanessa, Iniesta Manjavacas, Ángel Manuel, Rivas Gándara, Nuria, Álvarez-García, Jesús, Sánchez Ramos, Jesús Gabriel, Aguilera Agudo, Cristina, Rubín López, José Manuel, Macías Gallego, Alfonso, López Fernández, Silvia, González Torres, Luis, Martínez, Juan Gabriel, Marrero Negrín, Natalia, Ramos Maqueda, Javier, Cabrera Ramos, Mercedes, Medina Gil, José María, De Diego Rus, Carlos, Bermúdez Jiménez, Francisco José, Madrazo, Inés, Díaz Molina, Beatriz, Cobo Marcos, Marta, Ruiz Duthil, Ana Delia, Cordero, David, Méndez Fernández, Ana Belén, Peña Conde, Laura, Arcocha Torres, María F., Pérez Castellano, Nicasio, Arias, Miguel Á., García Bolao, Ignacio, Díaz Infante, Ernesto, Campari, Monica, Arribas Ynsaurriaga, Fernando, Delgado Jiménez, Juan F., Valsecchi, Sergio, and Salguero Bodes, Rafael

Published
2024
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38. Clinical impact of remote heart failure management using the multiparameter ICD HeartLogic alert

Author

de Juan Bagudá, Javier, Cózar León, Rocío, Gavira Gómez, Juan J., Pachón, Marta, Goirigolzarri Artaza, Josebe, Martínez Mateo, Virgilio, Escolar Pérez, Vanessa, Iniesta Manjavacas, Ángel Manuel, Rivas Gándara, Nuria, Álvarez-García, Jesús, Sánchez Ramos, Jesús Gabriel, Aguilera Agudo, Cristina, Rubín López, José Manuel, Macías Gallego, Alfonso, López Fernández, Silvia, González Torres, Luis, Martínez, Juan Gabriel, Marrero Negrín, Natalia, Ramos Maqueda, Javier, Cabrera Ramos, Mercedes, Medina Gil, José María, De Diego Rus, Carlos, Bermúdez Jiménez, Francisco José, Madrazo, Inés, Díaz Molina, Beatriz, Cobo Marcos, Marta, Ruiz Duthil, Ana Delia, Cordero, David, Méndez Fernández, Ana Belén, Peña Conde, Laura, Arcocha Torres, María F., Pérez Castellano, Nicasio, Arias, Miguel Á., García Bolao, Ignacio, Díaz Infante, Ernesto, Campari, Monica, Arribas Ynsaurriaga, Fernando, Delgado Jiménez, Juan F., Valsecchi, Sergio, and Salguero Bodes, Rafael

Published
2024
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42. Bone marrow mesenchymal stem cells interact with head and neck squamous cell carcinoma cells to promote cancer progression and drug resistance

Author

Liu, Chuanxia, Billet, Sandrine, Choudhury, Diptiman, Cheng, Ran, Haldar, Subhash, Fernandez, Ana, Biondi, Shea, Liu, Zhenqiu, Zhou, Hongmei, and Bhowmick, Neil A

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Rare Diseases, Stem Cell Research - Nonembryonic - Non-Human, Genetics, Dental/Oral and Craniofacial Disease, Cancer, Stem Cell Research, Animals, Cell Communication, Cell Line, Tumor, Cell Proliferation, Cells, Cultured, Coculture Techniques, Disease Models, Animal, Disease Progression, Drug Resistance, Neoplasm, Gene Expression Regulation, Humans, Mesenchymal Stem Cells, Mice, Models, Biological, Squamous Cell Carcinoma of Head and Neck, Xenograft Model Antitumor Assays, Mesenchymal stem cells, Head and neck squamous cell carcinoma, Cell fusion, cancer progression, Drug resistance, Clinical Sciences, Oncology & Carcinogenesis, Clinical sciences, Oncology and carcinogenesis
Abstract

Head and neck cancers are often diagnosed at later stages with poor outcomes. Mesenchymal stem cells (MSC) are recruited to primary tumor sites where they can have pro- and antitumorigenic influence. In trying to better understand the dynamics between MSC and cancer cells, we found that head and neck cancer-MSC exposure resulted in mesenchymal features, elevated proliferation rate, and were more motile, like the same cells that fused with MSC. We orthotopically grafted the parental head and neck cancer cells, those fused with MSC, or those exposed to MSC into the tongues of mice. The cancer cells originally incubated with MSC developed larger more aggressive tumors compared to the parental cell line. RNA sequencing analysis revealed the expression of genes associated with drug resistance in the cancer cells exposed to MSC compared to parental cancer cells. Strikingly, MSC exposed cancer cell lines developed paclitaxel resistance that could be maintained up to 30 d after the initial co-incubation period. The secretory profile of the MSC suggested IL-6 to be a potential mediator of epigenetic imprinting on the head and neck cancer cells. When the MSC-imprinted cancer cells were exposed to the demethylation agent, 5-aza-2'deoxycytidine, it restored the expression of the drug resistance genes to that of parental cells. This study demonstrated that the recognized recruitment of MSC to tumors could impart multiple protumorigenic properties including chemotherapy resistance like that observed in the relatively rare event of cancer/MSC cell fusion.

Published
2021

44. Interlaboratory validation of a multiplex qPCR method for the detection of Listeria monocytogenes in a ready-to-eat seafood product

Author

Azinheiro, Sarah, Rodríguez-López, Pedro, Lozano-León, Antonio, Guedes, Hugo, Regal, Patricia, Franco, Carlos M., Cepeda, Alberto, Teixeira, Pilar, Melo, Luís D.R., Silva, Daniela, Fernández, Ana, Faria, Márcia, Roumani, Foteini, Herrera, Juan, Prado, Marta, López-Cabo, Marta, and Garrido-Maestu, Alejandro

Published
2023
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47. Severe Asthma Standard-of-Care Background Medication Reduction With Benralizumab: ANDHI in Practice Substudy

Author

Pohl, Wolfgang, Doberer, Daniel, Martinot, Jean Benoit, Deschampheleire, Maud, Himpe, Ulrike, Chapman, Kenneth, Cheema, Amarjit, Dorscheid, Delbert, Ramsey, Clare, Rolf, Jeffrey, Walker, Brandie, Olivenstein, Ronald, Poirier, Claude, Larivee, Pierre, Bjerrum, Anne Sofie, Titlestad, Ingrid, Hilberg, Ole, Kilpeläinen, Maritta, Bonniaud, Philippe, Taillé, Camille, Tiotiu, Iuliana-Angelica, Girodet, Pierre-Olivier, Blanc, François-Xavier, Pradelli, Johana, Didier, Alain, Nocent Ejnaini, Cecilia, Deslee, Gaetan, Pison, Christophe, Douadi, Youcef, Mahay, Guillaume, Devouassoux, Gilles, Melloni, Boris, Roux, Pauline-Marie, Bourdin, Arnaud, Fry, Stephanie, Schaum, Thomas, Schulz, Christian, Skowasch, Dirk, Taube, Christian, Welte, Tobias, Gleiber, Wolfgang, Brehler, Randolf, Schreiber, Jens, Schuette, Wolfgang, Kronsbein, Juliane, Bonnet, Reiner, Beck, Ekkehard, Lacedonia, Donato, Senna, Gianenrico, Caruso, Cristiano, Crimi, Nunzio, Blasi, Francesco, Santus, Pierachille, Canonica, Giorgio Walter, Guarnieri, Gabriella, Pelaia, Girolamo, Milanese, Manlio, Micheletto, Claudio, Corsico, Angelo Guido, Scichilone, Nicola, Spadaro, Giuseppe, Langeveld, Bas, Holters, Jurgen, Willem van den Berg, Jan, Smit, Arthur, Conemans, Lennart, van Veen, Helena, Staaks, Gerald, Lehmann, Sverre, Echave-Sustaeta, Jose Maria, Ribas, Christian Domingo, de Luiz Martinez, Gustavo, Gonzalez Perez, Ruperto, Garcia Rivero, Juan Luis, Gall, Xavier Muñoz, Soto Campos, Jose Gregorio, Mozo, Paloma Campo, Pan, Carmen Vidal, Fernandez, Ana Gomez-Bastero, Tellez, Sergio Campos, Rivera, Carlos Martinez, Bobolea, Irina Diana, Guerrero, Raquel Morillo, Garcia, Ismael Ali, Rodriguez Hermosa, Juan Luis, Stenfors, Nikolai, Tunsäter, Alf, Curiac, Dan, von Garnier, Christophe, Leuppi, Joerg, Schmid-Grendelmeier, Peter, Nasser, Shuaib, Chaudhuri, Rekha, Nordstrom, Monica, Saralaya, Dinesh, Pfeffer, Paul, Mansur, Adel, Short, Philip, Wenzel, Sally, Cherry, William Brett, Zafra, Heidi, Gonzalez, Erika, Soong, Weily, Davis, Benjamin, Kao, Neil, Hussain, Iftikhar, Maselli Caceres, Diego Jose, Harris, James, Calhoun, William, Rodicio, Ileana, Kaufman, David, Moss, Mark, Sztejman, Eric, DeLeon, Samuel, Sumino, Kaharu, Kashyap, Ravindra, Leflein, Jeffrey, Hajal, Rizan, Fakih, Faisal, Hill, David, Lin, Robert, Jarratt, Mikell, Subramaniam, Vijay, Sussman, Robert, Mumneh, Nayla, Reibman, Joan, Darveaux, Jared, Tan, Ricardo, Tanus, Tonny, Sikand, Vinay, Marshall, Gailen, Mehta, Hemalini, Cole, Jeremy, Goodman, Brad, Goss, Deborah, Bardelas, Jose, Milstone, Aaron, Mehta, Vinay, Clore, Lee, Millard, Mark, Palumbo, Michael, Puppala, Dileep, Leong, Mila, Prenner, Bruce, Robinette, Emory, Heidarian Raissy, Hengameh, Fost, David, Pleskow, Warren, Marcus, Michael, Ilowite, Jonathan, Moore, Wendy, Steven, Gary, De la Cruz, Luis, Chupp, Geoffrey, Berger, William, Randolph, Christopher, Holguin, Fernando, Kureishy, Shahrukh, Campbell, Edward, Peche, Rudi, Pini, Laura, Papi, Alberto, Beghé, Bianca, Peveri, Silvia, Henriquez Santa, Aythamy, Ramos Gonzalez, Jacinto, Vinge, Ines, St. John, Roy, Louis, Renaud, Harrison, Tim W., Chanez, Pascal, Menzella, Francesco, Philteos, George, Cosio, Borja G., Lugogo, Njira L., de Luiz, Gustavo, Burden, Annie, Adlington, Timothy, Keeling, Nanna, Kwiatek, Justin, and Garcia Gil, Esther

Published
2023
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