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4,331 results on '"Fernández, Cristina"'

1. SpaceRaceEdu: developing an educational multi-player videogame for self-study and assessment

Author

Gómez, Juan Jesús Roldán, Fernández, Cristina Alonso, and Maeso, Carlos Aguirre

Subjects
Computer Science - Computers and Society
Abstract

The teaching innovation project SpaceRaceEdu: development of an educational multiplayer video game for self-study and self-assessment has been carried out under the INNOVA call of the Autonomous University of Madrid during the 2022-2023 academic year. In this project, a functional prototype of SpaceRaceEdu has been developed: a multiplayer video game with a social and educational nature, which can be used both by teachers as a training and evaluation activity and by students as a tool for study and evaluation. In SpaceRaceEdu, several student teams try to launch a rocket before everyone else. To meet this objective, they must gather a series of resources by going through a scenario and answering questions of different types. The teachers can introduce these questions according to the contents of their subject. The videogame balances competition and cooperation to promote participation and learning. Competition occurs between teams who strive to answer all their questions correctly before their rivals. In contrast, cooperation occurs between students on the same team who can organize and support each other to be more effective., Comment: 8 pages, in Spanish language, 3 figures

Published
2024

2. Quantum-centric supercomputing for materials science: A perspective on challenges and future directions

Author

Alexeev, Yuri, Amsler, Maximilian, Barroca, Marco Antonio, Bassini, Sanzio, Battelle, Torey, Camps, Daan, Casanova, David, Choi, Young Jay, Chong, Frederic T, Chung, Charles, Codella, Christopher, Córcoles, Antonio D, Cruise, James, Di Meglio, Alberto, Duran, Ivan, Eckl, Thomas, Economou, Sophia, Eidenbenz, Stephan, Elmegreen, Bruce, Fare, Clyde, Faro, Ismael, Fernández, Cristina Sanz, Ferreira, Rodrigo Neumann Barros, Fuji, Keisuke, Fuller, Bryce, Gagliardi, Laura, Galli, Giulia, Glick, Jennifer R, Gobbi, Isacco, Gokhale, Pranav, de la Puente Gonzalez, Salvador, Greiner, Johannes, Gropp, Bill, Grossi, Michele, Gull, Emanuel, Healy, Burns, Hermes, Matthew R, Huang, Benchen, Humble, Travis S, Ito, Nobuyasu, Izmaylov, Artur F, Javadi-Abhari, Ali, Jennewein, Douglas, Jha, Shantenu, Jiang, Liang, Jones, Barbara, de Jong, Wibe Albert, Jurcevic, Petar, Kirby, William, Kister, Stefan, Kitagawa, Masahiro, Klassen, Joel, Klymko, Katherine, Koh, Kwangwon, Kondo, Masaaki, Kürkçüog̃lu, Dog̃a Murat, Kurowski, Krzysztof, Laino, Teodoro, Landfield, Ryan, Leininger, Matt, Leyton-Ortega, Vicente, Li, Ang, Lin, Meifeng, Liu, Junyu, Lorente, Nicolas, Luckow, Andre, Martiel, Simon, Martin-Fernandez, Francisco, Martonosi, Margaret, Marvinney, Claire, Medina, Arcesio Castaneda, Merten, Dirk, Mezzacapo, Antonio, Michielsen, Kristel, Mitra, Abhishek, Mittal, Tushar, Moon, Kyungsun, Moore, Joel, Mostame, Sarah, Motta, Mario, Na, Young-Hye, Nam, Yunseong, Narang, Prineha, Ohnishi, Yu-ya, Ottaviani, Daniele, Otten, Matthew, Pakin, Scott, Pascuzzi, Vincent R, Pednault, Edwin, Piontek, Tomasz, Pitera, Jed, Rall, Patrick, Ravi, Gokul Subramanian, Robertson, Niall, Rossi, Matteo AC, Rydlichowski, Piotr, Ryu, Hoon, Samsonidze, Georgy, Sato, Mitsuhisa, and Saurabh, Nishant

Subjects
Data Management and Data Science, Distributed Computing and Systems Software, Information and Computing Sciences, Information Systems, Networking and Information Technology R&D (NITRD), Quantum-centric supercomputing, Quantum computing, Materials science, High-performance computing, Computer Software, Distributed Computing, Data management and data science, Distributed computing and systems software, Information systems
Abstract

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Computationally hard tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their resources for simulation, analysis, and data processing. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions.

Published
2024

3. Delivery of a sebum modulator by an engineered skin microbe in mice

Author

Knödlseder, Nastassia, Fábrega, María-José, Santos-Moreno, Javier, Manils, Joan, Toloza, Lorena, Marín Vilar, Maria, Fernández, Cristina, Broadbent, Katrina, Maruotti, Julien, Lemenager, Hélène, Carolis, Carlo, Zouboulis, Christos C., Soler, Concepció, Lood, Rolf, Brüggemann, Holger, and Güell, Marc

Published
2024
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5. Extension of the Injected-Absorbed-Current Method applied to DC-DC Converters with Input Filter, Output Post-filter and Feedforward Compensations

Author

Ochoa, Diego, Lazaro, Antonio, Zumel, Pablo, Fernandez, Cristina, Sanz, Marina, Rodriguez, Jorge, and Barrado, Andres

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

In railway applications, it is common to use an LC filter connected between the catenary and the input port of the main converter of the auxiliary and traction systems. In addition, in the auxiliary systems, there is a converter operating as a battery charger, which requires a very low ripple in the output current and output voltage, so a postfilter may be placed at the output port of the converter. This article proposes a step-by-step methodology to extend the injected-absorbed-current (IAC) method in order to obtain transfer functions that consider the effects of the input filter, output postfilter, and some feedforward compensations. The proposed methodology allows reusing the characteristic coefficients of the DC-DC converter model derived from the existing IAC method. One of the advantages of the proposed methodology is that the transfer functions obtained in this article are valid for cases where both, one or none of the filters, are implemented. Finally, for the experimental validation of the proposed methodology, the phase-shifted full-bridge converter was selected as a convenient example. Furthermore, the experimental measurements have been performed on two prototypes., Comment: This work was supported in part by the European Regional Development Fund (FEDER), in part by the Ministry of Science, Innovation and Universities, and in part by the State Research Agency through the Research Project: Modeling and Control Strategies for the Stabilization of the Interconnection of Power Electronic Converters CONEXPOT-2 under Grant DPI2017-84572-C2-2-R (AEI/FEDER, UE)

Published
2024
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6. Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Author

Alexeev, Yuri, Amsler, Maximilian, Baity, Paul, Barroca, Marco Antonio, Bassini, Sanzio, Battelle, Torey, Camps, Daan, Casanova, David, Choi, Young Jai, Chong, Frederic T., Chung, Charles, Codella, Chris, Corcoles, Antonio D., Cruise, James, Di Meglio, Alberto, Dubois, Jonathan, Duran, Ivan, Eckl, Thomas, Economou, Sophia, Eidenbenz, Stephan, Elmegreen, Bruce, Fare, Clyde, Faro, Ismael, Fernández, Cristina Sanz, Ferreira, Rodrigo Neumann Barros, Fuji, Keisuke, Fuller, Bryce, Gagliardi, Laura, Galli, Giulia, Glick, Jennifer R., Gobbi, Isacco, Gokhale, Pranav, Gonzalez, Salvador de la Puente, Greiner, Johannes, Gropp, Bill, Grossi, Michele, Gull, Emanuel, Healy, Burns, Huang, Benchen, Humble, Travis S., Ito, Nobuyasu, Izmaylov, Artur F., Javadi-Abhari, Ali, Jennewein, Douglas, Jha, Shantenu, Jiang, Liang, Jones, Barbara, de Jong, Wibe Albert, Jurcevic, Petar, Kirby, William, Kister, Stefan, Kitagawa, Masahiro, Klassen, Joel, Klymko, Katherine, Koh, Kwangwon, Kondo, Masaaki, Kurkcuoglu, Doga Murat, Kurowski, Krzysztof, Laino, Teodoro, Landfield, Ryan, Leininger, Matt, Leyton-Ortega, Vicente, Li, Ang, Lin, Meifeng, Liu, Junyu, Lorente, Nicolas, Luckow, Andre, Martiel, Simon, Martin-Fernandez, Francisco, Martonosi, Margaret, Marvinney, Claire, Medina, Arcesio Castaneda, Merten, Dirk, Mezzacapo, Antonio, Michielsen, Kristel, Mitra, Abhishek, Mittal, Tushar, Moon, Kyungsun, Moore, Joel, Motta, Mario, Na, Young-Hye, Nam, Yunseong, Narang, Prineha, Ohnishi, Yu-ya, Ottaviani, Daniele, Otten, Matthew, Pakin, Scott, Pascuzzi, Vincent R., Penault, Ed, Piontek, Tomasz, Pitera, Jed, Rall, Patrick, Ravi, Gokul Subramanian, Robertson, Niall, Rossi, Matteo, Rydlichowski, Piotr, Ryu, Hoon, Samsonidze, Georgy, Sato, Mitsuhisa, Saurabh, Nishant, Sharma, Vidushi, Sharma, Kunal, Shin, Soyoung, Slessman, George, Steiner, Mathias, Sitdikov, Iskandar, Suh, In-Saeng, Switzer, Eric, Tang, Wei, Thompson, Joel, Todo, Synge, Tran, Minh, Trenev, Dimitar, Trott, Christian, Tseng, Huan-Hsin, Tureci, Esin, Valinas, David García, Vallecorsa, Sofia, Wever, Christopher, Wojciechowski, Konrad, Wu, Xiaodi, Yoo, Shinjae, Yoshioka, Nobuyuki, Yu, Victor Wen-zhe, Yunoki, Seiji, Zhuk, Sergiy, and Zubarev, Dmitry

Subjects
Quantum Physics, Condensed Matter - Materials Science
Abstract

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of existing high-performance supercomputing centers, consuming much of their simulation, analysis, and data resources. Quantum computing, on the other hand, is an emerging technology with the potential to accelerate many of the computational tasks needed for materials science. In order to do that, the quantum technology must interact with conventional high-performance computing in several ways: approximate results validation, identification of hard problems, and synergies in quantum-centric supercomputing. In this paper, we provide a perspective on how quantum-centric supercomputing can help address critical computational problems in materials science, the challenges to face in order to solve representative use cases, and new suggested directions., Comment: 65 pages, 15 figures; comments welcome

Published
2023
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8. A mild increase in nutrient signaling to mTORC1 in mice leads to parenchymal damage, myeloid inflammation and shortened lifespan

Author

Ortega-Molina, Ana, Lebrero-Fernández, Cristina, Sanz, Alba, Calvo-Rubio, Miguel, Deleyto-Seldas, Nerea, de Prado-Rivas, Lucía, Plata-Gómez, Ana Belén, Fernández-Florido, Elena, González-García, Patricia, Vivas-García, Yurena, Sánchez García, Elena, Graña-Castro, Osvaldo, Price, Nathan L., Aroca-Crevillén, Alejandra, Caleiras, Eduardo, Monleón, Daniel, Borrás, Consuelo, Casanova-Acebes, María, de Cabo, Rafael, and Efeyan, Alejo

Published
2024
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10. Beyond tobacco: genomic disparities in lung cancer between smokers and never-smokers

Author

Garrido, Javiera, Bernal, Yanara, González, Evelin, Blanco, Alejandro, Sepúlveda-Hermosilla, Gonzalo, Freire, Matías, Oróstica, Karen, Rivas, Solange, Marcelain, Katherine, Owen, Gareth, Ibañez, Carolina, Corvalan, Alejandro, Garrido, Marcelo, Assar, Rodrigo, Lizana, Rodrigo, Cáceres-Molina, Javier, Ampuero, Diego, Ramos, Liliana, Pérez, Paola, Aren, Osvaldo, Chernilo, Sara, Fernández, Cristina, Spencer, María Loreto, Aguila, Jacqueline Flores, Dossetto, Giuliano Bernal, Olea, Mónica Ahumada, Rasse, Germán, Sánchez, Carolina, de Amorim, Maria Galli, Bartelli, Thais F., Nunes, Diana Noronha, Dias-Neto, Emmanuel, Freitas, Helano C., and Armisén, Ricardo

Published
2024
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17. Game Learning Analytics: Blending Visual and Data Mining Techniques to Improve Serious Games and to Better Understand Player Learning

Author

Alonso-Fernández, Cristina, Calvo-Morata, Antonio, Freire, Manuel, Martínez-Ortiz, Iván, and Fernández-Manjón, Baltasar

Abstract

Game learning analytics (GLA) comprise the collection, analysis, and visualization of player interactions with serious games. The information gathered from these analytics can help us improve serious games and better understand player actions and strategies, as well as improve player assessment. However, the application of analytics is a complex and costly process that is not yet generalized in serious games. Using a standard data format to collect player interactions is essential: the standardization allows us to simplify and systematize every step in developing tools and processes compatible with multiple games. In this paper, we explore a combination of 1) an exploratory visualization tool that analyzes player interactions in the game and provides an overview of their actions, and 2) an assessment approach, based on the collection of interaction data for player assessment. We describe some of the different opportunities offered by analytics in game-based learning, the relevance of systematizing the process by using standards and game-independent analyses and visualizations, and the different techniques (visualizations, data mining models) that can be applied to yield meaningful information to better understand learners' actions and results in serious games.

Published
2022

18. Optical mirages from spinless beams

Author

Olmos-Trigo, Jorge, Abujetas, Diego R., Sanz-Fernández, Cristina, García-Etxarri, Aitzol, and García-Martín, Antonio

Subjects
Physics - Optics
Abstract

Spin-orbit interactions of light are ubiquitous in multiple branches of nanophotonics, including optical wave localization. In that framework, it is widely accepted that circularly polarized beams lead to spin-dependent apparent shifts of dipolar targets commonly referred to as optical mirages. In contrast, these optical mirages vanish when the illumination comes from a spinless beam such as a linearly polarized wave. Here we show that optical localization errors emerge for particles sustaining electric and magnetic dipolar response under the illumination of spinless beams. As an example, we calculate the optical mirage for the scattering by a high refractive index nanosphere under the illumination of a linearly polarized plane wave carrying null spin, orbital, and total angular momentum. Our results point to an overlooked interference between the electric and magnetic dipoles rather than the spin-orbit interactions of light as the origin for the tilted position of the nanosphere.

Published
2022

20. Climate Justice for the Displaced? The Path to Legal Protection of the Climate Migrant

Author

Fernández, Cristina García, Peek, Daniël, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Çiner, Attila, editor, Barbieri, Maurizio, editor, Khan, Md Firoz, editor, Ugulu, Ilker, editor, Turan, Veysel, editor, Knight, Jasper, editor, Rodrigo-Comino, Jesús, editor, Chenchouni, Haroun, editor, Radwan, Ahmed E., editor, Kallel, Amjad, editor, Panagoulia, Dionysia, editor, Candeias, Carla, editor, Biswas, Arkoprovo, editor, Chaminé, Helder I., editor, Gentilucci, Matteo, editor, Bezzeghoud, Mourad, editor, and Ergüler, Zeynal Abiddin, editor

Published
2024
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24. Systematic Literature Review of Digital Resources to Educate on Gender Equality

Author

Yañez, Alma Gloria Barrera, Alonso-Fernández, Cristina, and Fernández-Manjón, Baltasar

Abstract

Violence and discrimination against women are serious problems that affect today's society regardless of culture or social environment. Educational and government programs addressing these gender issues are difficult to scale up, insufficient or, in some cases, nonexistent. Digital resources can contribute to address discrimination against women and different technological initiatives are being carried out around the world. Videogames and digital resources have proven their effectiveness as tools to educate, prevent and raise awareness about social problems. This article presents a systematic literature review of digital resources such as videogames, apps and simulations that address gender issues including violence and stereotypes. Throughout the review, we analyze multiple characteristics of the resources found (development tools, platforms, location, target audience) to classify the studies found. The main goal of this review is to present the status of gender-focused digital resources, their evaluation studies, including the metrics used and samples, as well as the acceptance and impact of their application. Most of the studies reviewed aimed to raise awareness about gender-based violence using serious games targeted at teenagers. For the resources evaluated, pre-post questionnaires were commonly used. However, many of the projects reviewed did not have evaluation studies or the resources were not openly available, thus limiting their massive application and their potential impact on society. We consider that our results provide a starting point to better understand the role of digital resources in raising awareness about gender issues, highlighting their current limitations, and providing recommendations for future research in gender-based digital resources.

Published
2023
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25. Peer Aggression and Victimisation: Social Behaviour Strategies in Early Childhood in Spain

Author

García-Fernández, Cristina Mª, Romera, Eva M., Monks, Claire P., and Ortega-Ruiz, Rosario

Abstract

The present study aims to examine the issue of peer aggression and victimisation in early childhood, with a focus on the associated social behaviour strategies (aggressiveness, prosociality, dominance and social insecurity). A sample of 227 children (58.1% girls, n = 132) between the ages of 4 and 7 years (M = 5.61; SD = 1. 03) participated in the study. Teacher reports and peer nominations of physical and verbal aggression and victimisation were analysed. Results showed an association between aggressiveness and insecurity and being nominated as a physical and verbal aggressor by peers. Being nominated as a physical victim was associated with aggressiveness and dominance; and for verbal victim with aggressiveness and prosociality. Differences were found between boys and girls in verbal aggression and victimisation. The current study contributes to a better understanding of the emergence of peer aggression and victimisation in relation to social processes in early childhood and has implications for the prevention of the later appearance of bullying.

Published
2023
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27. The Use and Effects of Incentive Systems on Learning and Performance in Educational Games

Author

Rahimi, Seyedahmad, Shute, Valerie, Kuba, Renata, Dai, Chih-Pu, Yang, Xiaotong, Smith, Ginny, and Alonso Fernández, Cristina

Abstract

We examined the use and effectiveness of an incentive system--one of the five elements of a theory-based motivational architecture in educational games that we proposed--in a computer-based physics game on students' learning and performance. The incentive system's purpose was to motivate students to access learning supports designed to facilitate content knowledge acquisition (i.e., content-related supports) and minimize the use of solution videos (i.e., game-related supports). Students (n = 199) could earn game money by accessing content-related supports but had to pay to watch solution videos. Results indicated that the incentive system effectively increased how often students viewed content-related supports and decreased their reliance on solution videos. Furthermore, students who viewed more content-related supports showed higher posttest scores and solved more game levels compared to those who watched fewer supports, controlling for pretest scores. Solution videos, however, appeared to have no effect on either posttest scores or number of levels solved. Finally, our analysis of students' behavioral data, extracted from log files, confirmed that students did not abuse solution videos. We conclude by proposing areas of interest for future research.

Published
2021
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36. Implementation of perennial malaria chemoprevention in infants at district-level in Togo: mixed methods assessment of health system readiness

Author

Revollon, Natacha, Dzoka, Koku Delanyo, Gbeasor-Komlanvi, Diane Fifonsi, Sadio, Arnold, Arikawa, Shino, Atekpe, Abraham, Konu, Rodion, Bhatta, Bandana, Tchankoni, Martin, Enguita-Fernàndez, Cristina, Saute, Francisco, Samai, Mohamed, Atchrimi, Bernard Tossou, Briand, Valérie, Menendez, Clara, Ekouevi, Didier Koumavi, and Orne-Gliemann, Joanna

Published
2024
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37. Evidence-Based Evaluation of a Serious Game to Increase Bullying Awareness

Author

Alonso-Fernández, Cristina, Calvo-Morata, Antonio, Freire, Manuel, Martínez-Ortiz, Iván, and Fernández-Manjón, Baltasar

Abstract

Game Learning Analytics can be used to conduct evidence-based evaluations of the effect that serious games produce on their players by combining in-game user interactions and traditional evaluation methods. We illustrate this approach with a case-study where we conduct an evidence-based evaluation of a serious game's effectiveness to increase awareness of bullying. In this paper, we describe: (1) the full process of tracking in-game interactions, analyzing the traces collected using the standard xAPI-SG format, and deriving game learning analytics variables (to be used as "evidences"); and (2) the use of those variables to predict the increase in bullying awareness. We consider that this process can be generalized and replicated to systematize, and therefore simplify, evidence-based evaluations for other serious games based on the interaction data of their players.

Published
2023
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38. Quantum portfolio value forecasting

Author

Sanz-Fernandez, Cristina, Hernandez, Rodrigo, Marciniak, Christian D., Pogorelov, Ivan, Monz, Thomas, Benfenati, Francesco, Mugel, Samuel, and Orus, Roman

Subjects
Quantum Physics
Abstract

We present an algorithm which efficiently estimates the intrinsic long-term value of a portfolio of assets on a quantum computer. The method relies on quantum amplitude estimation to estimate the mean of a novel implementation of the Gordon-Shapiro formula. The choice of loading and readout algorithms makes it possible to price a five-asset portfolio on present day quantum computers, a feat which has not been realised using quantum computing to date. We compare results from two available trapped ion quantum computers. Our results are consistent with classical benchmarks, but result in smaller statistical errors for the same computational cost., Comment: 5 pages, 2 figures, 2 tables; Supplementary material with 4 pages and 5 tables

Published
2021

39. Spontaneously ruptured hepatocellular carcinoma on non-cirrhotic liver: A prospective case series

Author

Romero-Gutiérrez, Marta, Pascual, Sonia, Márquez, Laura, Gómez-Rubio, Mariano, Miquel, Mireia, Alarcón, Cristina, Ferrer, Teresa, Aracil, Carles, Horta, Diana, Latorre, Raquel, González Santiago, Jesús, Bernal, Vanesa, Fernández, Cristina, Piqueras, Belén, Gutiérrez, María Luisa, Martín, Ana, Morillas, Julia, Morales, Dalia, Blanco, Sonia, Rendón, Paloma, Chico, Inmaculada, Testillano, Milagros, Delgado, Carolina, Matilla, Ana, and Gómez Rodríguez, Rafael

Published
2024
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42. Clinical relevance of timing of assessment of ICU mortality in patients with moderate-to-severe Acute Respiratory Distress Syndrome

Author

Villar, Jesús, González-Martin, Jesús M., Añón, José M., Ferrando, Carlos, Soler, Juan A., Mosteiro, Fernando, Mora-Ordoñez, Juan M., Ambrós, Alfonso, Fernández, Lorena, Montiel, Raquel, Vidal, Anxela, Muñoz, Tomás, Pérez-Méndez, Lina, Rodríguez-Suárez, Pedro, Fernández, Cristina, Fernández, Rosa L., Szakmany, Tamas, Burns, Karen E. A., Steyerberg, Ewout W., and Slutsky, Arthur S.

Published
2023
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49. Multi-directional Force and Tactile Sensor Sleeves for Micro Catheters and Cannulas

Author

Sogunro, Joelle, Wu, Xiaochong, Saija, Carlo, Alabdullah, Basma, Rowell, Joseph, Liu, Anhao, Fernandez, Cristina Sanchez, Rhode, Kawal, Bergeles, Christos, Sadati, S. M. Hadi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Iida, Fumiya, editor, Maiolino, Perla, editor, Abdulali, Arsen, editor, and Wang, Mingfeng, editor

Published
2023
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50. Acceptance Evaluation of a Serious Game to Address Gender Stereotypes in Mexico

Author

Barrera Yañez, Alma Gloria, Alonso-Fernández, Cristina, Fernández-Manjón, Baltasar, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, González-González, Carina S., editor, Fernández-Manjón, Baltasar, editor, Li, Frederick, editor, García-Peñalvo, Francisco José, editor, Sciarrone, Filippo, editor, Spaniol, Marc, editor, García-Holgado, Alicia, editor, Area-Moreira, Manuel, editor, Hemmje, Matthias, editor, and Hao, Tianyong, editor

Published
2023
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