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102. Development of a new set of Heuristics for the evaluation of Human-Robot Interaction in industrial settings: Heuristics Robots Experience (HEUROBOX)

Author

Ainhoa Apraiz, Jose Antonio Mulet Alberola, Ganix Lasa, Maitane Mazmela, and Hien Ngoc Nguyen

Subjects
human-robot collaboration (HRC), human-robot interaction (HRI), user experience (UX), technology acceptance, heuristic evaluation, industry 5.0, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95
Abstract

Humans and robots will increasingly have to work together in the new industrial context. Therefore, it is necessary to improve the User Experience, Technology Acceptance, and overall wellbeing to achieve a smoother and more satisfying interaction while obtaining the maximum performance possible out of it. For this reason, it is essential to analyze these interactions to enhance User Experience. The heuristic evaluation is an easy-to-use, low-cost method that can be applied at different stages of a design process in an iterative manner. Despite these advantages, there is rarely a list of heuristics in the current literature that evaluates Human-Robot interactions both from a User Experience, Technology Acceptance, and Human-Centered approach. Such an approach should integrate key aspects like safety, trust, and perceived safety, ergonomics and workload, inclusivity, and multimodality, as well as robot characteristics and functionalities. Therefore, a new set of heuristics, namely, the HEUROBOX tool, is presented in this work in the form of the HEUROBOX tool to help practitioners and researchers in the assessment of human-robot systems in industrial environments. The HEUROBOX tool clusters design guidelines and methodologies as a logic list of heuristics for human-robot interaction and comprises four categories: Safety, Ergonomics, Functionality, and Interfaces. They include 84 heuristics in the basic evaluation, while the advanced evaluation lists a total of 228 heuristics in order to adapt the tool to the evaluation of different industrial requirements. Finally, the set of new heuristics has been validated by experts using the System Usability Scale (SUS) questionnaire and the categories has been prioritized in order of their importance in the evaluation of Human-Robot Interaction through the Analytic Hierarchy Process (AHP).

Published
2023
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103. Brand-specific estimates of influenza vaccine effectiveness for the 2021–2022 season in Europe: results from the DRIVE multi-stakeholder study platform

Author

Anke L. Stuurman, Antonio Carmona, Jorne Biccler, Alexandre Descamps, Miriam Levi, Ulrike Baum, Ainara Mira-Iglesias, Stefania Bellino, Uy Hoang, Simon de Lusignan, Roberto Bonaiuti, Bruno Lina, Caterina Rizzo, Hanna Nohynek, Javier Díez-Domingo, DRIVE Study Contributors, Anca Cristina Drăgănescu, Oana Săndulescu, Daniela Piţigoi, Victor Daniel Miron, Anca Streinu-Cercel, Anuţa Bilaşco, Adrian Streinu-Cercel, Dragoş Florea, Ovidiu Vlaicu, Simona Paraschiv, Leontina Bănică, Dan Oţelea, Monika Redlberger-Fritz, Eva Geringer, Amparo López-Bernus, Ana Haro Perez, Nieves Gutierrez Zufiaurre, Cristina Carbonell Muñoz, Miguel Marcos Martin, Muñoz Juan Luis Bellido, Isabel Gil Rodríguez, Antonio Muro Alvarez, Moncef Belhassen Garcia, Giancarlo Icardi, Stefano Mosca, Donatella Panatto, Emanuele Montomoli, Silvana Castaldi, Andrea Orsi, Alexander Domnich, Maria Chironna, Daniela Loconsole, Ilaria Manini, Christian Napoli, Alessandra Torsello, Elena Pariani, and Piero Luigi Lai, Susana Otero-Romero, Andrés Antón Pagarolas, Cristina Andrés, Ingrid Carbonés, Oleguer Pares, Mar Fornaguera, Anna Oller, Xavier Salgado, Patricia Tejerina, Cristina Martinez, Alejandro Orrico-Sánchez, F. Xavier López-Labrador, Beatriz Mengual-Chuliá, Judit Sánchez Soler, María Jinglei Casanova Palomino, Juan Mollar-Maseres, Miguel Tortajada-Girbés, Noelia Rodríguez-Blanco, Mario Carballido-Fernández, Raquel Andreu Ivorra, Àngels Sierra Fortuny, Beatriz Segura Segura, Cristina Mingot Ureta, Sagrario Corrales Díaz-Flores, Ángela Sánchez Pla, María Dolores Tirado Balaguer, Juan Alberola, José Miguel Nogueira, Juan J Camarena, Francisco Arjona-Zaragozí, Maruan Shalabi Benavent, José Luis López-Hontangas, María Dolores Gómez, Alejandro Martín-Quirós, Carlos Cañada Illana, Emilio Cendejas, Irma Casas García, Guillermo Mena Pinilla, María Esteve Pardo, Lola Álamo Junquera, Cristina Casañ, Sandra Fernandez Morodo, Agueda Hernández, Pere-Joan Cardona, Marta Segura, Andreu C. Pelegrin, Sara González-Gómez, Verónica Saludes, Elisa Martró, Valtýr Stefánsson Thors, Kristín L. Björnsdóttir, Liem Luong, Zineb Lesieur, Yacine Saidi, Rebecca Bauer, Christine Pereira, Philippe Vanhems, Fabrice Lainé, Florence Galtier, Xavier Duval, Christine Durier, Paolo Bonanni, Alfredo Vannacci, and Claudia Ravaldi

Subjects
vaccine effectiveness, influenza, influenza vaccines, test-negative design, post authorization, real-world evidence, Public aspects of medicine, RA1-1270
Abstract

IntroductionDevelopment of Robust and Innovative Vaccine Effectiveness (DRIVE) was a European public–private partnership (PPP) that aimed to provide annual, brand-specific estimates of influenza vaccine effectiveness (IVE) for regulatory and public health purposes. DRIVE was launched in 2017 under the umbrella of the Innovative Medicines Initiative (IMI) and conducted IVE studies from its pilot season in 2017–2018 to its final season in 2021–2022.MethodsIn 2021–2022, DRIVE conducted four primary care-based test-negative design (TND) studies (Austria, Italy, Iceland, and England; involving >1,000 general practitioners), nine hospital-based TND studies (France, Iceland, Italy, Romania, and Spain, for a total of 21 hospitals), and one population-based cohort study in Finland. In the TND studies, patients with influenza-like illness (primary care) or severe acute respiratory infection (hospital) were enrolled, and laboratory tested for influenza using RT-PCR. Study contributor-specific IVE was calculated using logistic regression, adjusting for age, sex, and calendar time, and pooled by meta-analysis.ResultsIn 2021–2022, pooled confounder-adjusted influenza vaccine effectiveness (IVE) estimates against laboratory-confirmed influenza (LCI) overall and per type and subtype/lineage was produced, albeit with wide confidence intervals (CI). The limited circulation of influenza in Europe did not allow the network to reach the optimal sample size to produce precise IVE estimates for all the brands included. The most significant IVE estimates were 76% (95% CI 23%−93%) for any vaccine and 81% (22%−95%) for Vaxigrip Tetra in adults ≥65 years old and 64% (25%−83%) for Fluenz Tetra in children (TND primary care setting), 85% (12%−97%) for any vaccine in adults 18–64 years (TND hospital setting), and 38% (1%−62%) in children 6 months−6 years (population-based cohort, mixed setting).DiscussionOver five seasons, DRIVE collected data on >35,000 patients, more than 60 variables, and 13 influenza vaccines. DRIVE demonstrated that estimating brand-specific IVE across Europe is possible, but achieving sufficient sample size to obtain precise estimates for all relevant stratifications remains a challenge. Finally, DRIVE's network of study contributors and lessons learned have greatly contributed to the development of the COVID-19 vaccine effectiveness platform COVIDRIVE.

Published
2023
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106. SARS-CoV-2-reactive IFN-γ-producing CD4+ and CD8+ T cells in blood do not correlate with clinical severity in unvaccinated critically ill COVID-19 patients

Author

Beatriz Olea, Eliseo Albert, Estela Giménez, Ignacio Torres, Paula Amat, María José Remigia, Juan Alberola, Nieves Carbonell, José Ferreres, María Luisa Blasco, and David Navarro

Subjects
Medicine, Science
Abstract

Abstract We examined the relationship between peripheral blood levels of SARS-CoV-2 S (Spike protein)1/M (Membrane protein)-reactive IFN-γ-producing CD4+ and CD8+ T cells, serum levels of biomarkers of clinical severity, and mortality in critically ill COVID-19 patients. The potential association between SARS-CoV-2-S-Receptor Binding Domain (RBD)-specific IgG levels in sera and mortality was also investigated. SARS-CoV-2 T cells and anti-RBD IgG levels were monitored in 71 non-consecutive patients (49 male and 22 female; median age, 65 years) by whole-blood flow cytometry and Enzyme-linked immunosorbent assay (ELISA), respectively (326 specimens). SARS-CoV-2 RNA loads in paired tracheal aspirates [TA] (n = 147) were available from 54 patients. Serum levels of interleukin-6, ferritin, D-Dimer, lactose dehydrogenase and C-reactive protein in paired sera were known. SARS-CoV-2 T cells (either CD4+, CD8+ or both) were detectable in 70 patients. SARS-CoV-2 IFN-γ CD4+ T-cell responses were documented more frequently than their CD8+ counterparts (62 vs. 56 patients) and were of greater magnitude overall. Detectable SARS-CoV-2 S1/M-reactive CD8+ and CD4+ T-cell responses were associated with higher SARS-CoV-2 RNA loads in TA. SARS-CoV-2 RNA load in TA decreased over time, irrespective of the dynamics of SARS-CoV-2-reactive CD8+ and CD4+ T cells. No correlation was found between SARS-CoV-2 IFN-γ T-cell counts, anti-RBD IgG concentrations and biomarker serum levels (Rho ≤ 0.3). The kinetics of both T cell subsets was comparable between those who died or survived, whereas anti-RBD IgG levels were higher across different time points in deceased patients than in survivors. Enumeration of peripheral blood levels of SARS-CoV-2-S1/M-reactive IFN-γ CD4+ and CD8+ T cells does not predict viral clearance from the lower respiratory tract or poor clinical outcomes in critically ill COVID-19 patients. In contrast, anti-RBD IgG levels were directly associated with increased mortality.

Published
2022
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107. VIOLENCIA FILIO-PARENTAL

Author

Pérez, Rafael Navarro, primary, Olmo, M.ª Carmen Millán, additional, Aguirre, Beatriz Tomás, additional, and Alberola, Amalia Bataller, additional

Published
2022
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108. Intraoperative positive end-expiratory pressure and postoperative pulmonary complications: a patient-level meta-analysis of three randomised clinical trials

Author

Hemmes, Sabrine NT., Gama de Abreu, Marcelo, Severgnini, Paolo, Hollmann, Markus W., Binnekade, Jan M., Wrigge, Hermann, Canet, Jaume, Hiesmayr, Michael, Schmid, Werner, Tschernko, Edda, Jaber, Samir, Hedenstierna, Göran, Putensen, Christian, Pelosi, Paolo, Schultz, Marcus J., Marti, Agnes, Bacuzzi, Alessandro, Brodhun, Alexander, Molin, Alexandre, Merten, Alfred, Parera, Ana, Brunelli, Andrea, Cortegiani, Andrea, Güldner, Andreas, Reske, Andreas W., Gratarola, Angelo, Giarratano, Antonino, Bastin, Bea, Heyse, Bjorn, Mazul-Sunko, Branka, Amantea, Bruno, Barberis, Bruno, Uhlig, Christopher, Marín, Conrado Minguez, Celentano, Cristian, La Bella, Daniela, D’Antini, David, Velghe, David, Sulemanji, Demet, De Robertis, Edoardo, Hartmann, Eric, Montalto, Francesca, Tropea, Francesco, Mills, Gary H., Cinnella, Gilda, Della Rocca, Giorgio, Caggianelli, Girolamo, Pellerano, Giulia, Mollica, Giuseppina, Bugedo, Guillermo, Mulier, Jan-Paul, Vandenbrande, Jeroen, Geib, Johann, Yaqub, Jonathan, Florez, Jorge, Mayoral, Juan F., Sprung, Juraj, Van Limmen, Jurgen, Bos, Lieuwe DJ., de Baerdemaeker, Luc, Jamaer, Luc, Spagnolo, Luigi, Strys, Lydia, Gil, Manuel Granell, Vidal Melo, Marcos F., Unzueta, Maria Carmen, Moral, Maria Victoria, Ferner, Marion, Weiss, Martin, Vanoni, Massimo, Schaefer, Maximilian S., Prieto, Mercè, Grio, Michele, Spieth, Peter Markus, Simon, Philipp, Bodger, Phoebe, Sierra, Pilar, Laufenberg-Feldmann, Rita, Rusca, Roberta, Proietti, Rodolfo, Raineri, Santi Maurizio, Caroleo, Santo, Sabaté, Sergi, De Hert, Stefan, Pezzato, Stefano, Treschan, Tanja A., Goranovic, Tatjana, Koch, Thea, Bluth, Thomas, Kiss, Thomas, Perilli, Valter, Cegarra, Virginia, Ferrando, Carlos, Belda, Javier, Soro, Marina, Unzueta, Carmen, Suarez-Sipmann, Fernando, Librero, Julián, Llombart, Alicia, Rovira, Lucas, Granell, Manuel, Aldecoa, César, Diaz-Cambronero, Oscar, Balust, Jaume, Garutti, Ignacio, Gonzalez, Rafael, Gallego, Lucia, Garcia del Valle, Santiago, Redondo, Javier, Pestaña, David, Rodríguez, Aurelio, García, Javier, Matta, Manuel de la, Ibáñez, Maite, Barrios, Francisco, Hernández, Samuel, Torres, Vicente, Peiró, Salvador, Pozo, Natividad, Villena, Abigail, Carramiñana, Albert, Gallego-Casilda, Alberto, Duca, Alejandro, Alcón, Amalia, Miñana, Amanda, Asensio, Ana, Colás, Ana, Galve, Ana Isabel, Izquierdo, Ana, Jurado, Ana, Pérez, Ana María, Mugarra, Ana, Gutierrez, Andrea, De Miguel, Ángeles, Lozano, Angels, Katime, Antonio, Romero, Antonio, Garrigues, Beatriz, Ayas, Begoña, Arocas, Blanca, Delgado, Carlos, Fernández, Carmen, Romero, Carolina, Gallego, Clara, Garcés, Cristina, Lisbona, Cristina, Parrilla, Cristina, López-Herrera, Daniel, González, Domingo, Llamazares, Eduardo, Del Rio, Elena, Lozano, Elena, Pastor, Ernesto, Chamorro, Estefanía, Gracia, Estefanía, Sánchez, Ester, Romero, Esther, Díez, Fernando, Serralta, Ferran, Daviu, Francisco, Sandín, Francisco, Aguilar, Gerardo, Tusman, Gerardo, Azparren, Gonzalo, Martínez-Pallí, Graciela, Mazzinari, Guido, Benítez, Inmaculada, Hernandéz, Inmaculada, India, Inmaculada, León, Irene, Fuentes, Isabel, Ruiz, Isabel, Puig, Jaume, Román, Javie Ignacio, Acosta, Jesús, Rico-Feijoo, Jesús, Olmedo, Jonathan, Carbonell, Jose A., Alonso, Jose M., Pérez, Jose María, Marcos, Jose Miguel, Navarro, Jose, Valdivia, Jose, Carrizo, Juan, Piqueras, Laura, Soriano, Laura, Vaquero, Laura, Miguel, Lisset, Muñoz, Lorena, Valencia, Lucia, Olmedilla, Luis, Etulain, Mᵃ Justina, Tisner, Manuel, Barrio, María, Alonso, María Dolores, García, María, Hernández, María J., Alberola, María José, Parra, María, Argente, María Pilar, Vila, María, De Fez, Mario, Agilaga, Marta, Gine, Marta, Ayuso, Mercedes, García, Mercedes, Bejarano, Natalia, Peña, Natalia, Ojeda, Nazario, Martínez, Nilda, García, Nuria, Padrón, Oto, García, Pablo, Valls, Paola, Cruz, Patricia, Piñeiro, Patricia, Charco, Pedro, Anaya, Rafael, López, Ramiro, Rodríguez, Rayco, Martínez, Rocío, Pujol, Roger, Dosdá, Rosa, Lardies, Rosa, Díaz, Ruben, Villazala, Rubén, Zapatero, Sara, Cabrera, Sergio, Sánchez, Sergio, Martin, Silvia, Diaz, Suzana, Franco, Tania, Moreno, Tania, Socorro, Tania, Gilabert, Vicente, Balandrón, Victor, Moral, Victoria, Cegarra, Virgina, Varón, Viviana, Abelha, Fernando, Abitağaoğlu, Sühayla, Achilles, Marc, Adebesin, Afeez, Adriaensens, Ine, Ahene, Charles, Akbar, Fatima, Al Harbi, Mohammed, Al Khoury al Kallab, Rita, Albanel, Xavier, Aldenkortt, Florence, Saleh Alfouzan, Rawan Abdullah, Alruqaie, Reef, Altermatt, Fernando, Luís de Castro Araujo, Bruno, Arbesú, Genaro, Artsi, Hanna, Aurilio, Caterina, Ayanoglu, Omer Hilmi, Baig, Harris, Baird, Yolanda, Balonov, Konstantin, Banks, Samantha, Bao, Xiaodong, Baumgartner, Mélanie, Tortosa, Isabel Belda, Bergamaschi, Alice, Bergmann, Lars, Bigatello, Luca, Pérez, Elena Biosca, Birr, Katja, Bojaxhi, Elird, Bonenti, Chiara, Bonney, Iwona, Bos, Elke M.E., Bowman, Sara, Braz, Leandro Gobbo, Brugnoni, Elisa, Brull, Sorin J., Brunetti, Iole, Bruni, Andrea, Buenvenida, Shonie L., Busch, Cornelius Johannes, Camerini, Giovanni, Capatti, Beatrice, Carmona, Javiera, Carungcong, Jaime, Carvalho, Marta, Cattan, Anat, Cavaleiro, Carla, Chiumello, Davide, Ciardo, Stefano, Coburn, Mark, Colella, Umberto, Contreras, Victor, Dincer, Pelin Corman, Cotter, Elizabeth, Crovetto, Marcia, Darrah, William, Davies, Simon, Del Cojo Peces, Enrique, Delphin, Ellise, Diaper, John, Junior, Paulo do Nascimento, Donatiello, Valerio, Dong, Jing, Dourado, Maria do Socorro, Dullenkopf, Alexander, Ebner, Felix, Elgendy, Hamed, Ellenberger, Christoph, Arı, Dilek Erdoğan, Ermert, Thomas, Farah, Fadi, Fernandez-Bustamante, Ana, Ferreira, Cristina, Fiore, Marco, Fonte, Ana, Palahí, Christina Fortià, Galimberti, Andrea, Garofano, Najia, Giaccari, Luca Gregorio, Gilsanz, Fernando, Girrbach, Felix, Gobbi, Luca, Godfried, Marc Bernard, Goettel, Nicolai, Goldstein, Peter A., Goren, Or, Gorlin, Andrew, Graterol, Juan, Guyon, Pierre, Haire, Kevin, Harou, Philippe, Helf, Antonia, Hemmes, Sabrine N.T., Hempel, Gunther, Hernández Cádiz, María José, Heyse, Björn, Huercio, Ivan, Ilievska, Jasmina, Jakus, Lien, Jeganath, Vijay, Jelting, Yvonne, Jung, Minoa, Kabon, Barbara, Kacha, Aalok, Ilić, Maja Karaman, Karuppiah, Arunthevaraja, Kavas, Ayse Duygu, Barcelos, Gleicy Keli, Kellogg, Todd A., Kemper, Johann, Kerbrat, Romain, Khodr, Suraya, Kienbaum, Peter, Kir, Bunyamin, Kivrak, Selin, Klarić, Vlasta, Köksal, Ceren, Kowark, Ana, Kranke, Peter, Kuvaki, Bahar, Kuzmanovska, Biljana, Laffey, John, Lange, Mirko, Freitas de Lemos, Marília, Licker, Marc-Joseph, López-Baamonde, Manuel, López-Hernández, Antonio, Lopez-Martinez, Mercedes, Luise, Stéphane, MacGregor, Mark, Magalhães, Danielle, Maillard, Julien, Malerbi, Patrizia, Manimekalai, Natesan, Margarson, Michael, Markstaller, Klaus, Martin, Archer K., Martin, David P., Martin, Yvette N., Martínez-Ocon, Julia, Martin-Loeches, Ignacio, Maseda, Emilio, Matot, Idit, McAuliffe, Niamh, McKenzie, Travis J., Medina, Paulina, Meersch, Melanie, Menzen, Angelika, Mertens, Els, Meurer, Bernd, Meyer-Treschan, Tanja, Miao, Changhong, Micalizzi, Camilla, Milić, Morena, Pinheiro Módolo, Norma Sueli, Moine, Pierre, Mölders, Patrick, Montero-Feijoo, Ana, Moret, Enrique, Muller, Markus K., Murphy, Zoe, Nalwaya, Pramod, Naumovski, Filip, Navalesi, Paolo, Navarro e Lima, Lais Helena, Adam, Višnja Nesek, Neumann, Claudia, Newell, Christopher, Nisnevitch, Zoulfira, Nizamuddin, Junaid, Novazzi, Cecilia, O'Connor, Michael, Oprea, Günther, Sungur, Mukadder Orhan, Özbilgin, Şule, Pace, Maria Caterina, Pacheco, Marcos, Packianathaswamy, Balaji, Gonzalez, Estefania Palma, Papaspyros, Fotios, Paredes, Sebastián, Passavanti, Maria Beatrice, Pedemonte, Juan Cristobal, Peremin, Sanja, Philipsenburg, Christoph, Pinho, Daniela, Pinho, Silvia, Posthuma, Linda M., Pota, Vincenzo, Preckel, Benedikt, Priani, Paolo, Rached, Mohamed Aymen, Radoeshki, Aleksandar, Ragazzi, Riccardo, Rajamanickam, Tamilselvan, Rajamohan, Arthi, Ramakrishna, Harish, Rangarajan, Desikan, Reiterer, Christian, Renew, J. Ross, Reynaud, Thomas, Rhys, Rhidian, Rivas, Eva, Robitzky, Luisa, Rossaint, Rolf, Rubulotta, Francesca, Machado, Humberto S., Nunes, Catarina S., Sabbatini, Giovanni, Samuels, Jon D., Sanahuja, Josep Martí, Sansone, Pasquale, Santos, Alice, Sayedalahl, Mohamed, Scharffenberg, Martin, Schiffer, Eduardo, Schliewe, Nadja, Schorer, Raoul, Schumann, Roman, Selmo, Gabriele, Sendra, Mar, Senturk, Mert, Shaw, Kate, Shosholcheva, Mirjana, Sibai, Abdulrazak, Simonassi, Francesca, Sinno, Claudia, Sivrikoz, Nukhet, Skandalou, Vasiliki, Smith, Neil, Soares, Maria, Artiles, Tania Socorro, Castro, Diogo Sousa, Sousa, Miguel, Spadaro, Savino, Stamatakis, Emmanouil, Steiner, Luzius A., Stevenazzi, Andrea, Suarez-de-la-Rica, Alejandro, Suppan, Mélanie, Teichmann, Robert, Tena Guerrero, José Maria, Thiel, Bram, Tolós, Raquel, Altun, Gulbin Tore, Tucci, Michelle, Turnbull, Zachary A., Turudić, Žana, Unterberg, Matthias, Van Nieuwenhove, Yves, Van Waesberghe, Julia, Vidal Melo, Marcos Francisco, Vitković, Bibiana, Vivona, Luigi, Vizcaychipi, Marcela, Volta, Carlo Alberto, Weber, Anne, Weingarten, Toby N., Wittenstein, Jakob, Wyffels, Piet, Yagüe, Julio, Yates, David, Yavru, Ayşen, Zac, Lilach, Zhong, Jing, Campos, Niklas S., Librero, Julian, Ball, Lorenzo, and Serpa Neto, A.

Published
2022
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109. Advancing Scalability and Sustainability of Perovskite Light‐Emitting Diodes Through the Microwave Synthesis of Nanocrystals.

Author

Almeida da Silva, Thais Caroline, Sánchez, Rafael S., Alberola‐Borràs, Jaume‐Adrià, Vidal, Rosario, Mora‐Seró, Iván, and Julián‐López, Beatriz

Subjects
QUANTUM efficiency, METAL halides, HIGH temperatures, PEROVSKITE, PRECIPITATION (Chemistry)
Abstract

In recent years, perovskite light‐emitting diodes have witnessed a remarkable evolution in both efficiency and luminance levels. Nonetheless, the production of such devices typically relies on protracted synthesis procedures at elevated temperatures and vacuum/inert conditions (e.g. hot‐injection synthesis), thus rendering them technically unsuitable for extensive display and/or lighting applications manufacturing. Although alternative synthetic protocols have been proposed, e.g. ligand‐assisted reprecipitation, ultrasonic and microwave‐based methods, their suitability for the construction of high‐performing light‐emitting diodes has been reported in only a few studies. In this study, we demonstrate the fabrication of highly efficient lighting devices based on CsPbBr3 colloidal perovskite nanocrystals synthesized by a fast, energetically efficient, and up‐scalable microwave‐assisted method. These nanocrystals exhibit an impressive photoluminescence quantum yield of 66.8% after purification, with a very narrow PL spectrum centered at 514 nm with a full width at half‐maximum of 20 nm. Similarly, the PeLEDs achieve a maximum external quantum efficiency of 23.4%, a maximum current efficiency of 71.6 Cd A−1, and a maximum luminance level that exceeds 4.7 × 104 Cd m−2. Additionally, a significantly lower energy consumption for microwave‐mediated synthesis compared with hot injection is demonstrated. These findings suggest that this synthetic procedure emerges as an outstanding and promising method towards a scalable and sustainable fabrication of high‐quality perovskite light‐emitting diodes. [ABSTRACT FROM AUTHOR]

Published
2025
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110. ESASky v.2.0: all the skies in your browser

Author

Merín, Bruno, Giordano, Fabrizio, Norman, Henrik, Racero, Elena, Baines, Deborah, Salgado, Jesús, Martí, Belén López, Alberola, Sara, Caniego, Marcos López, Valtchanov, Ivan, de Marchi, Guido, and Arviset, Christophe

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

With the goal of simplifying the access to science data to scientists and citizens, ESA recently released ESASky (http://sky.esa.int), a new open-science easy-to-use portal with the science-ready Astronomy data from ESA and other major data providers. In this presentation, we announced version 2.0 of the application, which includes access to all science-ready images, catalogues and spectra, a feature to help planning of future JWST observations, the possibility to search for data of all (targeted and serendipitously observed) Solar System Objects in Astronomy images, a first support to mobile devices and several other smaller usability features. We also discussed the future evolution of the portal and the lessons learnt from the 1+ year of operations from the point of view of access, visualization and manipulation of big datasets (all sky maps, also called HiPS) and large catalogues (like e.g. the Gaia DR1 catalogues or the Hubble Source Catalogue) and the design and validation principles for the development of friendly GUIs for thin layer web clients aimed at scientists., Comment: 4 pages, 2 figures, ADASS 2017 conference proceedings

Published
2017

111. Susceptibility Patterns in Clinical Isolates of Mycobacterium avium Complex from a Hospital in Southern Spain.

Author

González Martínez, Adrián, Aguilera, María, Tarriño, María, Alberola, Ana, Reguera, Juan Antonio, Sampedro, Antonio, Navarro, Jose María, and Rodríguez Granger, Javier

Subjects
MYCOBACTERIUM avium, MICROBIAL sensitivity tests, MOXIFLOXACIN, MYCOBACTERIAL diseases, MYCOBACTERIUM, CLARITHROMYCIN, AMIKACIN, LINEZOLID
Abstract

The incidence of infections caused by the Mycobacterium avium complex (MAC) has risen significantly, posing diagnostic and therapeutic challenges. This study analyzed 134 clinical isolates of the Mycobacterium avium complex from southern Spain, performing in vitro antimicrobial susceptibility testing using a commercial microdilution technique to generate additional data, refine treatment strategies, and improve patient outcomes. Phenotypic susceptibility testing revealed clarithromycin and amikacin as the most effective antibiotics, with susceptibility rates exceeding 90%, while linezolid and moxifloxacin exhibited limited activity, with resistance rates of 49.3% and 41.8%. A comparative analysis between M. avium and M. intracellulare showed significant differences in resistance to amikacin and linezolid, with M. avium exhibiting higher resistance rates. Additionally, species-specific differences were observed in MIC distributions for ethionamide, ciprofloxacin, and streptomycin. Our data reveal regional variability in resistance patterns, particularly for moxifloxacin and linezolid, which exhibit differing resistance rates compared to studies from other regions. The significant MIC differences for several antibiotics between M. avium and M. intracellulare underscore the importance of species-level identification and the heterogeneity in resistance mechanisms within MAC. [ABSTRACT FROM AUTHOR]

Published
2024
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112. Psychometric properties of two major approaches to measure school engagement in university students

Author

Tomás, Jose Manuel, Gutiérrez, Melchor, Alberola, Salvador, and Georgieva, Sylvia

Subjects
College students -- Psychological aspects, Psychological tests -- Evaluation, Psychology and mental health
Abstract

Students' engagement could be described as the holy grail of learning, due to its relationship with positive educational outcomes both inside and outside of school. Academic engagement is widely conceived as a multidimensional construct, however, there are many discrepancies regarding the number and nature of the dimensions which compose it. The aim of this research was to establish if two of the most widely adopted traditions of engagement (the American and the European model) converge, or differ, in their results and structure. To test this, nine structural equation models were estimated and tested in a sample composed by 870 university students from Santo Domingo (Dominican Republic). Fit indexes pointed out at model eight as the best fitting model, a Bifactor ESEM model in which items explained variance was divided between a general underlying factor and the dimensions to which they correspond. Factor structure of both scales was congruent with previous literature, as well as convergent and discriminant validity, and reliability. We can conclude that although dimensions of engagement are empirically distinguishable, there is a big portion of common variance, thus, regardless the variety of conceptualizations of school engagement, there is strong empirical evidence that, although manifestations of engagement are different, the underlying mechanism of feeling engaged is the same., Author(s): Jose Manuel Tomás [sup.1] , Melchor Gutiérrez [sup.1] , Salvador Alberola [sup.1] , Sylvia Georgieva [sup.1] Author Affiliations: (1) grid.5338.d, 0000 0001 2173 938X, University of Valencia, , Av. [...]

Published
2022
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116. Combined kinetic analysis of SARS-CoV-2 RNAemia, N-antigenemia and virus-specific antibodies in critically ill adult COVID-19 patients

Author

Rosa Costa, Juan Alberola, Beatriz Olea, Roberto Gozalbo-Rovira, Estela Giménez, Enric Cuevas-Ferrando, Ignacio Torres, Eliseo Albert, Nieves Carbonell, José Ferreres, Gloria Sánchez, Jesús Rodríguez-Díaz, María Luisa Blasco, and David Navarro

Subjects
Medicine, Science
Abstract

Abstract Combined kinetic analysis of plasma SARS-CoV-2 RNAemia, Nucleocapsid (N)-antigenemia and virus-specific antibodies may help ascertain the role of antibodies in preventing virus dissemination in COVID-19 patients. We performed this analysis in a cohort of 71 consecutive critically ill COVID-19 patients (49 male; median age, 65 years) using RT-PCR assay, lateral flow immunochromatography method and receptor binding domain (RBD) and N-based immunoassays. A total of 338 plasma specimens collected at a median of 12 days after symptoms onset were available for analyses. SARS-CoV-2 RNAemia and N-antigenemia were detected in 37 and 43 specimens from 26 (36.5%) and 30 (42.2%) patients, respectively. Free RNA was the main biological form of SARS-CoV-2 found in plasma. The detection rate for both viral components was associated with viral load at the upper respiratory tract. Median time to SARS-CoV-2-RBD antibody detection was 14 days (range, 4–38) from onset of symptoms. Decreasing antibody levels were observed in parallel to increasing levels of both RNAemia and N-antigenemia, yet overall a fairly modest inverse correlation (Rho = −0.35; P

Published
2022
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120. What is the future for nuclear fission technology? A technical opinion from the Guest Editors of VSI NFT series and the Editor of the Journal Nuclear Engineering and Design

Author

D’Auria, F., primary, Reventos, F., additional, Herranz, L., additional, Sanchez Perea, M., additional, Carlos Alberola, S., additional, Freixa, J., additional, Rossi, L., additional, Zhang, J., additional, Gupta, S., additional, Hoehne, T., additional, Paladino, D., additional, Misak, J., additional, Darnowski, P., additional, Kvizda, B., additional, Mascari, F., additional, Caruso, G., additional, D’Errico, F., additional, Vrbanic, I., additional, Zagar, T., additional, Simovic, R., additional, Šljivić-Ivanović, M.Z., additional, Hinovsky, I., additional, Mitev, M., additional, Hozer, Z., additional, Le Corre, J-M., additional, Roelofs, F., additional, Kaliatka, A., additional, Dundulis, G., additional, Joyce, M., additional, Middleburgh, S., additional, Margulis, M., additional, Cosgrove, P., additional, Riznic, J., additional, Rohatgi, U.S., additional, Kang, H.G., additional, Bolotnov, I., additional, Fratoni, M., additional, Marcum, W.R., additional, Lisowski, D., additional, Alonso, G., additional, Castillo, A., additional, Espinosa-Paredes, G., additional, Francois, J-L., additional, Lombardi Costa, A., additional, Laranjo de Stefani, G., additional, Pinheiro Palma, D.A., additional, Genezine, F., additional, Mazzantini, O., additional, Clausse, A., additional, Florido, P.C., additional, Soto, L., additional, Gonzalez, Abel J., additional, Pan, Chin, additional, Hu, Changjun, additional, Niu, Fenglei, additional, Cai, Weihua, additional, Zhang, Han, additional, Zhao, Jiyun, additional, He, Xinfu, additional, Yun, Di, additional, Yang, Jun, additional, Zhe, Dong, additional, Tian, Wenxi, additional, Pan, Liang-min, additional, Song, Danrong, additional, Cheng, Hui, additional, Koshizuka, S., additional, Cheon, J-S., additional, Yoon, H.Y., additional, Ajay, Ketan, additional, Van Thai, Nguyen, additional, Tran, Hoai-Nam, additional, Agung, A., additional, Melikhov, V., additional, Tomashchik, D., additional, Salih Bicakci, A., additional, Shams, A., additional, Addad, Y., additional, Al-Athel, K., additional, Afgan, I., additional, Alwafi, A., additional, Mousavian, K., additional, Akbari, R., additional, Aghaie Moghanloo, M., additional, Chaudri, Khurrum S., additional, Elshahat, A., additional, Seghour, A., additional, Adu, S., additional, Gbenga Fadodun, Olatomide, additional, Bokov, P.M., additional, Hassan, Mohammed, additional, Pesznyak, C., additional, and Cizelj, L., additional

Published
2024
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124. Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI

Author

Elisa Moya-Sáez, Rodrigo de Luis-García, and Carlos Alberola-López

Subjects
gadolinium-based contrast agents (GBCAs), contrast enhancement, deep learning, synthesis, synthetic MRI, neuro-oncology, Neurology. Diseases of the nervous system, RC346-429
Abstract

Gadolinium-based contrast agents (GBCAs) have become a crucial part of MRI acquisitions in neuro-oncology for the detection, characterization and monitoring of brain tumors. However, contrast-enhanced (CE) acquisitions not only raise safety concerns, but also lead to patient discomfort, the need of more skilled manpower and cost increase. Recently, several proposed deep learning works intend to reduce, or even eliminate, the need of GBCAs. This study reviews the published works related to the synthesis of CE images from low-dose and/or their native —non CE— counterparts. The data, type of neural network, and number of input modalities for each method are summarized as well as the evaluation methods. Based on this analysis, we discuss the main issues that these methods need to overcome in order to become suitable for their clinical usage. We also hypothesize some future trends that research on this topic may follow.

Published
2023
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125. Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k-space Analysis

Author

Rabanillo, Iñaki, Aja-Fernández, Santiago, Alberola-López, Carlos, and Hernando, Diego

Subjects
Physics - Medical Physics
Abstract

Noise characterization in MRI has multiple applications, including quality assurance and protocol optimization. It is particularly important in the presence of parallel imaging acceleration, where the noise distribution can contain severe spatial heterogeneities. If the parallel imaging reconstruction is a linear process, an exact noise analysis is possible by taking into account the correlations between all the samples involved. However, for k-space based techniques like GRAPPA, the exact analysis has been considered computationally prohibitive due to the very large size of the noise covariance matrices required to characterize the noise propagation from k-space to image-space. Previous methods avoid this computational burden by approximating the GRAPPA reconstruction as a pixel-wise linear operation performed in the image-space. However, these methods are not exact in the presence of non-uniform k-space undersampling (e.g.: containing a calibration region). For this reason, in this work we develop an exact characterization of the noise distribution for self-calibrated parallel imaging in the presence of arbitrary Cartesian undersampling patterns. By exploiting the symmetries and separability in the noise propagation process, the proposed method is computationally efficient and does not require large matrices. In this manuscript, we present the proposed noise characterization method and compare it to previous techniques using Monte-Carlo simulations as well as phantom acquisitions., Comment: 24 pages, 6 figures

Published
2016

126. An artificial intelligence tool for heterogeneous team formation in the classroom

Author

Alberola, Juan M., Del Val, Elena, Sanchez-Anguix, Victor, Palomares, Alberto, and Teruel, Maria Dolores

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Computer Science - Human-Computer Interaction, I.2.8, K.3.1, J.4
Abstract

Nowadays, there is increasing interest in the development of teamwork skills in the educational context. This growing interest is motivated by its pedagogical effectiveness and the fact that, in labour contexts, enterprises organize their employees in teams to carry out complex projects. Despite its crucial importance in the classroom and industry, there is a lack of support for the team formation process. Not only do many factors influence team performance, but the problem becomes exponentially costly if teams are to be optimized. In this article, we propose a tool whose aim it is to cover such a gap. It combines artificial intelligence techniques such as coalition structure generation, Bayesian learning, and Belbin's role theory to facilitate the generation of working groups in an educational context. This tool improves current state of the art proposals in three ways: i) it takes into account the feedback of other teammates in order to establish the most predominant role of a student instead of self-perception questionnaires; ii) it handles uncertainty with regard to each student's predominant team role; iii) it is iterative since it considers information from several interactions in order to improve the estimation of role assignments. We tested the performance of the proposed tool in an experiment involving students that took part in three different team activities. The experiments suggest that the proposed tool is able to improve different teamwork aspects such as team dynamics and student satisfaction.

Published
2016
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127. Institutional factors associated with adherence to enhanced recovery protocols for colorectal surgery: Secondary analysis of a multicenter study

Author

Garcia-Perez, Cristina, Higuera-Míguelez, Eva, Marcos-Vidal, José M., Merino-García, María, Rubio-López, Ana B., Pascual-Diez, María E., García-Miguel, Francisco J., Cabezudo-Sanjose, Luis R., Martínez-Díaz, Ruth, Alegría-Rebollo, Sara, González-Rodríguez, José L., Vega-Cruz, María S., Martínez-Ragüés, Gema, Gómez-Ríos, Manuel A., Mosquera-Rodríguez, Eva, Del-Río-Regueira, Sara, Bustos-García, Domingo, Sánchez-Conde, María P., Rodríguez-Calvo, Antonio, Hernández-Valero, María A., Angoso-Clavijo, María, González-Fernández, Luis M., Bravo-Riaño, Miguel A., Arnes-Muñoz, María V., Perez-Valdivieso, José R., Martin-Vizcaino, Marta, Hernandez-Garcia, Susana, Yoldi-Murillo, Francisco J., Salvador-Bravo, Miguel, Rubial-Alvarez, Manuela, Oteiza-Martinez, Fabiola, Balen-Rivera, Enrique, Garcia-Erce, José A., Zugasti-Murillo, Ana, Petrina-Jáuregui, María E., Bustos-Molina, Filadelfo, Paz-Martín, Daniel, Vázquez-Vicente, Bárbara, González-López, Lourdes, Mínguez-Marín, Conrado, Diz-Jueguen, Susana, Seoane-Antelo, Jaime, Ballinas-Miranda, Julio, Carrera-Dacosta, Ester, Barreiro-Domínguez, Erica, Piñeiro-Teijeiro, Alexandra, Sanchez-Santos, Raquel, Varela-Duran, Marina, Diaz-Parada, Pilar, Calero-Lillo, Aránzazu, López-Lara, Manuel Ángel, Muñoz-Collado, Salvador, Valverde-Sintas, Juan, Aznar-Puig, Silvia, Troyano-Escribano, Daniel, Marmaña-Mezquita, Sandra, Fernanz-Antón, Jesús, Catot-Alemany, Lucia, Balust, Jaume, Ubré, Marta, Ferrando-Ortolá, Carlos, Martínez-Pallí, Graciela, Ibarzabal, Ainitze, Lacy, Antonio M., Sánchez-Martín, Rubén, Martins-Cruz, Karina, Pérez-Jiménez, Paula, Casans-Francés, Rubén, Longás, Javier, Ramírez Rodríguez, José M., Mugarra-Llopis, Ana, Crisan, Cristina, Gracia-Ferrándiz, Estefanía, Romero-Vargas, Esther, Soro-Domingo, Marina, Rodríguez-Jiménez, Rita, Prada-Martin, Blanca, Muñoz-Hernández, Henar, Gómez Herrera, José I., Cocho-Crespo, Sara, Fernández-Caballero, Sandra, Flores-Crespo, Miguel, Vázquez-Fernández, Andrea, Brugiotti, Carlo, Ollé-Sese, Estefanía, Houghton-Acuña, Carla R., López-Doucil, Marta, Tarazona-López, Ernesto A., BEL-Marcobal, Iván, González-Cogollor, Sonia, Llácer-Pérez, Manuel, Arias-Romano, Alberto, Arrabal-Taborda, María C., Caballero-Domínguez, Mercedes, García-López, Rafael, Ontoria-Muriel, Julio, Vivó-Blasco, Antonio, Blanco, Francisco J., DEL-Cojo-Peces, Enrique, Tena-Guerrero, Jose M., Landaluce-Olavarria, Aitor, Badiola, Izaskun, Calvo, Marta, DE-Andres, Unai, Portugal-Porras, Vicente, Ugarte-Sierra, Bakarne, Pedregosa-Sanz, Ana, Perelló-Cerdà, Laura, Rodríguez-Téllez, Yobanys, Grössl-Meleán, Joanna, Viñas-Truñén, Xavier, Alday-Muñoz, Enrique, Bermejo-Marcos, Elena, Alonso-Casado, Pedro A., Gimeno-Calvo, Francisco A., Rodriguez-Sánchez, Ana, Montes-López, Carmen, Álvarez-Llano, Laura, FAS-Vicent, María J., Ortega-Monzó, Juan M., Flores-Flores, Gustavo, Tristancho, José L., Bayo-Sans, Montserrat, Deiros-Garcia, María C., GIL-Gómez, María L., Parra, Lourdes, Tejedor-DE-LA-Fuente, Vanesa, Jericó-Alba, Carlos, Borrell-Brau, Núria, Camacho-Martín, David, Ortiz-DE-Zarate, Jose L., López-Ruiz, Daniel, Rodriguez-Bustamante, Vicens, Martinez-Vilalta, M., Amoros-Ruiz, Daniel, Sadurni-Sarda, Marc, Matas, Fernando A.L.C.A.L.D.E., Giordano, Hernán, Perez Peña, Jose M., Olmedilla-Arnal, Luis, Benito-SAZ, Pilar, López-GIL, Elena, Ruiz-Ortega, Adela, Zapatero-García, Sara, DEL-Valle-García, Emilio, Soria-Aledo, Víctor, Pérez-Guarinos, Carmen V., Pellicer-Franco, Enrique, Valero-Navarro, Graciela, Mengual-Ballester, Mónica, García-Marín, José Andrés, Romero-Simó, Manuel, Caravaca-García, Ibán, Blasco-Segura, Teresa, Campo-Betancourth, Carlos F., Costa-Navarro, Rafael David, Jordá-Sanz, Laura, DE-Miguel-Cabrera, María I., España-Pamplona, José M., GIL-Trujillo, Silvia, Redondo-Calvo, Francisco J., Baladrón-Gónzalez, Víctor, Moreno-Ballesteros, Remedios, Muñoz-Rodes, José L., Miranda, Elena, Roselló-Chornet, Marta, Alós-Zaragoza, Lourdes, Catalá-Bauset, Juan, Pallardo-López, María A., Almenara-Almenara, Noemí, Muñoz-Devesa, Lorena, Alcaide-Pardo, Benito, Gimeno-Fernández, Pablo, Gómez-Agraz, José L., Iglesias-Morales, Carla, Ordoñez-Enireb, Paola B., Ríos-Villalba, Ana M., Rodríguez-Pinto, Joselvy, Sánchez-Cortés, Sergio, Montoya-Tabares, María J., Ruiz, Vicente, González-Sánchez, Francisco, Soriano-Giménez, Víctor, Muñoz-Camarena, José M., Benavides-Buleje, Jorge, Estupiñán-Jiménez, Juan C., Portero-Larragueta, Irene, Alias, David, Alberola-Estellés, María J., Díaz-Cambronero, Óscar, Matoses-Jaén, María S., Ruiz-Boluda, María D., Maristany-Bienert, Carlos, Pardo-López, José A., Ramiro-Ruiz, Álvaro, García, Pablo, Martínez-DE-Guereñu, Arantza, Montalbán, Belinda, Olea, Claudia, Benguría, David, Silva, Javier, Calderón, Adriana, Escoll-Rufino, Jordi, Cerdan-Santacruz, Carlos, Sierra-Grañón, José E., Rufas-Acín, María, Mestres-Petit, Nuria, Penagos-Saavedra, Ingrid C., Moreno-Castilla, Cristina, Riera-RIU, Jordi, Cuellar-Martínez, Ana, González-Álvarez, R.C., Sánchez-Merchante, Míriam, García-DEL-Valle-Y-Manzano, Santiago, García-Zamorano, Sara, Gijón-Herreros, Natalia, Robles-Ángel, Patricia, Logroño-Ejea, Margarita, Sanllorente-Sebastian, Rodrigo, Villalain-Perez, Maria C., Siclama-Stroe, Mihaela, Benítez-Villar, Judith, Sánchez-Campos, Alberto, Martínez-Ruiz, Alberto, Alonso-Carnicero, Patricia, DE-LA-Torre-González, Francisco J., Naranjo-Checa, Carolina, Pereira-Pérez, Fernando, Ruiz-Ucar, Elena, Rivera, Alfredo, GIL-Lapetra, Cristina, Roca-Castillo, Enrique, Mariscal-Flores, María L., Morales-Cayuela, Mario, Alonso-Ramos, Irene, Jiménez-Carneros, Virginia, Casalduero-Garcia, Lucas, Jimenez-Miramón, Javier, José, L., Nogués-Ramia, Eva M., Sosa-Quesada, Yolanda, Gómez, Alonso, Martínez-Meco-Ortiz, Laura M., Cabellos-Olivares, Mercedes, Rodríguez-Fraile, José R., Labalde-Martínez, María, Ramos-Rodríguez, Nacarino-Alcorta, Beatriz, Fernández-García, Raquel, DE-LA-Quintana-Gordon, Borja, Drewniak, Justyna, Senra-L, Fátima, Galindo-Jara, Pablo, Gallardo-Herrera, Ana B., García-Llorente, Cesar, Colao-García, Laura, Rellan-Álvarez, Luz-Divina, Miro-Murillo, Miguel, Flores-Risco, Sahely-CLARET, Serrat-Puyol, Jordi, Medina-Gallardo, Adrian, Mitsahid-Curbelo-Peña, Yuhami, Orenzana, Abad-Motos, Ane, Abad-Gurumeta, Alfredo, Aracil-Escoda, Norma, Martínez-Hurtado, Eugenio, Nozal-Mateo, Beatriz, Sáez-Ruiz, Elena, Salvachua-Fernández, Rut, Ripollés-Melchor, Javier, DE-Fuenmayor-Valera, María L., Sánchez, Elena, Toribio, Begoña, Navarro-Sánchez, Antonio, López-Fernández, José, Montesdeoca-Cabrera, Dácil, Alcalá-Serrano, Francisco J., Sancho-DE-Avila, Azahara, Diaz-Carrasco, Sofia, Martín-Martín, Almudena, Suarez-DE-LA-Rica, Alejandro, UÑA-Orejón, Rafael, Maseda, Emilio, Tejón-Pérez, Guillermo, Alfaro-Martínez, María V., Alonso-Fernández, Marta, Álvarez-Cebrián, María A., Álvarez-DEL-Vayo-Rodríguez, María J., Carrillo-Rivas, Mariana, Fernández-Rodríguez, María, Trabanco-Morán, Sonia, Rábago-Morán, José L., Martínez-Ubieto, Javier, Pascual-Bellosta, Ana M., Ortega-Lucea, Sonia M., Santero-Ramirez, Maria P., Duque-Mallen, Maria V., Aragon-Benedi, Cristian, Vallejo-Tarrat, Andrea, Colillas-Calvet, Carmen, Laso, Maria J., Martinez-Cabañero, Javier, Hernández-Salván, Javier, Ledesma-Muñoz, Beatriz, Ochoa-Osorio, Carolina, Sanz-García, Máximo, Herrero-Garrote, Begoña, Blázquez-Martin, Alma, Díez-Alonso, Manuel, Hernández-Juara, Pilar, Muguerza-Huguet, José M., Barbero-Mielgo, Macarena, SAN-Antonio-SAN-Román, Belén, Alonso-Aguilar, Laura, Molnar, Viktoria, Delgado-Naviero, María C., Meléndez-Leal, Encarnación, Cavero-García, Virginia, Fernández-Sánchez, África, Cubek-Quevedo, Daniela A., Munar, Rocío D.Í.E.Z., Blázquez-Fernández-DE-LA Pradilla, Francisco J., Serrano, Ana B., Balvís, Alberto, Berruezo, Alberto, Esparza, Elena, HOZ, Inés D.E.L.A., Palavicini, Ana, Pereira, Lucia, Vega, Ximena, Villahoz, Judith, Villanueva, Gema, Alonso-Fernández, José I., Aldecoa, César, Bolaño-Pérez, Clara, Villán-González, Teresa, Batalla, Astrid, Azparren, G., Basttita, M., Felipe, M., Cueva, L., Gine, Marta, Gómez-Caro, A.M., India, I., Piñol, S., Esteve-Pérez, Neus, Mora-Fernández, Carlos, Ferrer-Robles, Ana, Segura-Sampedro, Juan J., Alonso-Hernández, Natalia, Camps-Cervantes, Angels, Chocrón-DA-Prat, Ivette, Coronado-Silva, Carolina C., Duque-Santos, Héctor, Esclapez-Sempere, Elena, Galan-Menéndez, Patricia, Matarín-Olmo, Silvia, Tormos-Pérez, M.P., Villarino-Villa, Laura, Bergés-Gutiérrez, Héctor, Aisa-Gasca, Miguel, Arbona-Camillero, Verónica, Bautista-González, José D., Carballido-Pascual, Francisco J., Gutiérrez-Moreno, Mercedes, Muñoz-Durán, Ana, Cañete-Gómez, Jesús, Cáceres-Fabrega, Esther, Lorente-Herce, José M., Mulet-Zayas, Octavio, Gómez-Pérez, Rocío, Monje-Salazar, Cristina, Lobato-Bancalero, Luis, Torres-Moreno, Carmelo, Sanchez-Cárdenas, Elena, Daza-González, Juan J., Sanchez-Viguera, Teresa, DEL-Fresno-Asensio, Antonio, Bermudez-Román, Laura, Jover-Pinillos, José L., Orts-Micó, Francisco J., Cózar-Lozano, Coral, Blasco-Delgado, Olga, Nonnemacher-SAN-Julián, Andrea, Pérez, José A., Cruces, Laura D.U.R.Á.N., Renedo-Corcóstegui, Pablo, Zorrilla-Vaca, Andres, Stone, Alexander B., Ripolles-Melchor, Javier, Ramirez-Rodriguez, Jose M., Galan-Menendez, Patricia, Mena, Gabriel E., and Grant, Michael C.

Published
2021
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139. A versatile method to generate multiple types of micropatterns

Author

Segerer, F. J., Röttgermann, P. J. F., Schuster, S., Alberola, A. Piera, Zahler, S., and Rädler, J. O.

Subjects
Physics - Biological Physics
Abstract

Micropatterning techniques have become an important tool for the study of cell behavior in controlled microenvironments. As a consequence, several approaches for the creation of micropatterns have been developed in recent years. However, the diversity of substrates, coatings and complex patterns used in cell science is so great that no single existing technique is capable of fabricating designs suitable for all experimental conditions. Hence, there is a need for patterning protocols that are flexible with regard to the materials used and compatible with different patterning strategies to create more elaborate setups. In this work, we present a versatile approach to micropatterning. The protocol is based on plasma treatment, protein coating, and a PLL-PEG backfill step, and produces homogeneous patterns on a variety of substrates. Protein density within the patterns can be controlled, and density gradients of surface-bound protein can be formed. Moreover, by combining the method with microcontact printing, it is possible to generate patterns composed of three different components within one iteration of the protocol. The technique is simple to implement and should enable cell science labs to create a broad range of complex and highly specialized microenvironments., Comment: 7 pages, 4 figures, and 2 pages supplementary information (3 supplemental figures)

Published
2015
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140. Emergence and Persistence of Collective Cell Migration on Small Circular Micropatterns

Author

Segerer, Felix J., Thüroff, Florian, Alberola, Alicia Piera, Frey, Erwin, and Rädler, Joachim O.

Subjects
Physics - Biological Physics, Quantitative Biology - Cell Behavior
Abstract

The spontaneous formation of vortices is a hallmark of collective cellular activity. Here, we study the onset and persistence of coherent angular motion (CAMo) as a function of the number of cells $N$ confined in circular micropatterns. We find that the persistence of CAMo increases with $N$ but exhibits a pronounced discontinuity accompanied by a geometric rearrangement of cells to a configuration containing a central cell. Computer simulations based on a generalized Potts model reproduce the emergence of vortex states and show in agreement with experiment that their stability depends on the interplay of spatial arrangement and internal polarization of neighboring cells. Hence, the distinct migrational states in finite size ensembles reveal significant insight into the local interaction rules guiding collective migration., Comment: 5 pages, 4 figures

Published
2015
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145. Magnetic Resonance Imaging Simulator

Author

de Luis-García, Rodrigo, primary, Treceño-Fernández, Daniel, additional, Calabia-del-Campo, Juan, additional, de Paz-Fernández, Félix Jesús, additional, and Alberola-López, Carlos, additional

Published
2022
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146. Gender and Age Differences in the Internalization of Gender Stereotypes in Early and Mid Adolescence

Author

Villanueva-Blasco, Victor José and Grau-Alberola, Ester

Abstract

Introduction: Gender, understood as a social construction, determines the categorization of roles attributed to men and women by society. Adolescence is a critical period in the formation of gender identity, as well as in the development and consolidation of gender stereotypes and roles. Method: The aim of the study was to analyze differences in gender stereotypes in early adolescence (11-13 years) and middle adolescence (14-16 years), according to sex and age. The sample was composed of 880 adolescents from Secondary Schools in Aragon (Spain), of which 48.4% were male and 51.6% were female, with a mean age of 13.7 years. The "Gender stereotypes" variable was assessed using the "Escala de Estereotipos de Género" (Gender Stereotypes Scale, Colás & Villaciervos, 2007). Using Levene's test and Cohen's d, differences were determined for each study variable and between the seventh- and tenth-graders, for both sexes respectively. Results: The results show that there were significant differences in the internalization of gender stereotypes according to sex and age, where the transition to middle adolescence was critical. In the general scale, the presence of stereotypes was greater in males than in females. When analyzed by subtypes, there was a greater presence of these stereotypes in male youths: with a large effect size (Cohen's "d") for the subtypes Body, Competence and Affect in tenth grade; an intermediate effect size in Competence in ninth grade, Affect in eighth and ninth grades, and Social Responsibility in tenth grade; and with a small effect size in Social Responsibility in ninth grade. On the other hand, there was a greater presence of stereotypes in females in seventh grade only, with an intermediate effect size in the Emotional subtype, and a small effect size in Social Behavior. Moreover, the evolution of the presence of gender stereotypes differed according to sex, tending to decrease in the female youths, and to increase in the males. Discussion and conclusions: Psychological, educational and social repercussions are discussed. In conclusion, we offer orientation as to the need for age-adjusted, preventive interventions that include the gender perspective.

Published
2019
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149. Risk Factors for Bacteremia and Its Clinical Impact on Complicated Community-Acquired Urinary Tract Infection

Author

Manuel Madrazo, Ian López-Cruz, Laura Piles, Silvia Artero, Juan Alberola, Juan Alberto Aguilera, José María Eiros, and Arturo Artero

Subjects
risk factors, bacteremia, urinary tract infections, Biology (General), QH301-705.5
Abstract

Bacteremia has been associated with severity in some infections; however, its impact on the prognosis of urinary tract infections (UTIs) is still disputed. Our goal is to determine the risk factors for bacteremia and its clinical impact on hospitalized patients with complicated community-acquired urinary tract infections. We conducted a prospective observational study of patients admitted to the hospital with complicated community-acquired UTIs. Clinical variables and outcomes of patients with and without bacteremia were compared, and multivariate analysis was performed to identify risk factors for bacteremia and mortality. Of 279 patients with complicated community-acquired UTIs, 37.6% had positive blood cultures. Risk factors for bacteremia by multivariate analysis were temperature ≥ 38 °C (p = 0.006, OR 1.3 (95% CI 1.1–1.7)) and procalcitonin ≥ 0.5 ng/mL (p = 0.005, OR 8.5 (95% CI 2.2–39.4)). In-hospital and 30-day mortality were 9% and 13.6%, respectively. Quick SOFA (p = 0.030, OR 5.4 (95% CI 1.2–24.9)) and Barthel Index p = 0.020, OR 4.8 (95% CI 1.3–18.2)) were associated with 30-day mortality by multivariate analysis. However, bacteremia was not associated with 30-day mortality (p = 0.154, OR 2.7 (95% CI 0.7–10.3)). Our study found that febrile community-acquired UTIs and elevated procalcitonin were risk factors for bacteremia. The outcomes in patients with bacteremia were slightly worse, but without significant differences in mortality.

Published
2023
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150. Influence of Sepsis on the Middle-Term Outcomes for Urinary Tract Infections in Elderly People

Author

Arturo Artero, Ian López-Cruz, Juan Alberola, José María Eiros, Elena Resa, Laura Piles, and Manuel Madrazo

Subjects
sepsis, outcomes, urinary tract infection (UTI), elderly, Biology (General), QH301-705.5
Abstract

Urinary tract infection (UTI) is a common condition that predominantly affects elderly people, who are particularly susceptible to developing sepsis. Previous studies have indicated a detrimental effect of sepsis on short-term outcomes in elderly patients with UTI, but there is a lack of data about the middle-term prognosis. The aim of this study was to investigate the influence of sepsis on the middle-term prognosis of patients aged 65 years or older with complicated community-acquired UTIs. A prospective observational study of patients admitted to a hospital with UTI. We conducted a comparison of epidemiological and clinical variables between septic and nonseptic patients with UTI, as well as their 6-month case-fatality rate. A total of 412 cases were included, 47.8% of them with sepsis. Septic patients were older (83 vs. 80 years, p < 0.001), but did not have more comorbidities. The short-term case-fatality rate was higher in septic patients and this difference persisted at 6 months (34% vs. 18.6%, p = 0.003). Furthermore, age older than 75 years, Barthel index

Published
2023
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