Search

Your search keyword '"Marquez, Jose"' showing total 294 results
Start Over Author "Marquez, Jose" Publication Year Range Last 3 years
294 results on '"Marquez, Jose"'

1. Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Author

Zimmermann, Yoel, Bazgir, Adib, Afzal, Zartashia, Agbere, Fariha, Ai, Qianxiang, Alampara, Nawaf, Al-Feghali, Alexander, Ansari, Mehrad, Antypov, Dmytro, Aswad, Amro, Bai, Jiaru, Baibakova, Viktoriia, Biswajeet, Devi Dutta, Bitzek, Erik, Bocarsly, Joshua D., Borisova, Anna, Bran, Andres M, Brinson, L. Catherine, Calderon, Marcel Moran, Canalicchio, Alessandro, Chen, Victor, Chiang, Yuan, Circi, Defne, Charmes, Benjamin, Chaudhary, Vikrant, Chen, Zizhang, Chiu, Min-Hsueh, Clymo, Judith, Dabhadkar, Kedar, Daelman, Nathan, Datar, Archit, Evans, Matthew L., Fard, Maryam Ghazizade, Fisicaro, Giuseppe, Gangan, Abhijeet Sadashiv, George, Janine, Gonzalez, Jose D. Cojal, Götte, Michael, Gupta, Ankur K., Harb, Hassan, Hong, Pengyu, Ibrahim, Abdelrahman, Ilyas, Ahmed, Imran, Alishba, Ishimwe, Kevin, Issa, Ramsey, Jablonka, Kevin Maik, Jones, Colin, Josephson, Tyler R., Juhasz, Greg, Kapoor, Sarthak, Kang, Rongda, Khalighinejad, Ghazal, Khan, Sartaaj, Klawohn, Sascha, Kuman, Suneel, Ladines, Alvin Noe, Leang, Sarom, Lederbauer, Magdalena, Liao, Sheng-Lun Mark, Liu, Hao, Liu, Xuefeng, Lo, Stanley, Madireddy, Sandeep, Maharana, Piyush Ranjan, Maheshwari, Shagun, Mahjoubi, Soroush, Márquez, José A., Mills, Rob, Mohanty, Trupti, Mohr, Bernadette, Moosavi, Seyed Mohamad, Moßhammer, Alexander, Naghdi, Amirhossein D., Naik, Aakash, Narykov, Oleksandr, Näsström, Hampus, Nguyen, Xuan Vu, Ni, Xinyi, O'Connor, Dana, Olayiwola, Teslim, Ottomano, Federico, Ozhan, Aleyna Beste, Pagel, Sebastian, Parida, Chiku, Park, Jaehee, Patel, Vraj, Patyukova, Elena, Petersen, Martin Hoffmann, Pinto, Luis, Pizarro, José M., Plessers, Dieter, Pradhan, Tapashree, Pratiush, Utkarsh, Puli, Charishma, Qin, Andrew, Rajabi, Mahyar, Ricci, Francesco, Risch, Elliot, Ríos-García, Martiño, Roy, Aritra, Rug, Tehseen, Sayeed, Hasan M, Scheidgen, Markus, Schilling-Wilhelmi, Mara, Schloz, Marcel, Schöppach, Fabian, Schumann, Julia, Schwaller, Philippe, Schwarting, Marcus, Sharlin, Samiha, Shen, Kevin, Shi, Jiale, Si, Pradip, D'Souza, Jennifer, Sparks, Taylor, Sudhakar, Suraj, Talirz, Leopold, Tang, Dandan, Taran, Olga, Terboven, Carla, Tropin, Mark, Tsymbal, Anastasiia, Ueltzen, Katharina, Unzueta, Pablo Andres, Vasan, Archit, Vinchurkar, Tirtha, Vo, Trung, Vogel, Gabriel, Völker, Christoph, Weinreich, Jan, Yang, Faradawn, Zaki, Mohd, Zhang, Chi, Zhang, Sylvester, Zhang, Weijie, Zhu, Ruijie, Zhu, Shang, Janssen, Jan, Foster, Ian, and Blaiszik, Ben

Subjects
Computer Science - Machine Learning, Condensed Matter - Materials Science, Physics - Chemical Physics
Abstract

Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hybrid locations, resulting in 34 team submissions. The submissions spanned seven key application areas and demonstrated the diverse utility of LLMs for applications in (1) molecular and material property prediction; (2) molecular and material design; (3) automation and novel interfaces; (4) scientific communication and education; (5) research data management and automation; (6) hypothesis generation and evaluation; and (7) knowledge extraction and reasoning from scientific literature. Each team submission is presented in a summary table with links to the code and as brief papers in the appendix. Beyond team results, we discuss the hackathon event and its hybrid format, which included physical hubs in Toronto, Montreal, San Francisco, Berlin, Lausanne, and Tokyo, alongside a global online hub to enable local and virtual collaboration. Overall, the event highlighted significant improvements in LLM capabilities since the previous year's hackathon, suggesting continued expansion of LLMs for applications in materials science and chemistry research. These outcomes demonstrate the dual utility of LLMs as both multipurpose models for diverse machine learning tasks and platforms for rapid prototyping custom applications in scientific research., Comment: 98 pages

Published
2024

2. Community Shaping in the Digital Age: A Temporal Fusion Framework for Analyzing Discourse Fragmentation in Online Social Networks

Author

Dezhboro, Amirhossein, Ramirez-Marquez, Jose Emmanuel, and Krstikj, Aleksandra

Subjects
Computer Science - Social and Information Networks, Computer Science - Computers and Society
Abstract

This research presents a framework for analyzing the dynamics of online communities in social media platforms, utilizing a temporal fusion of text and network data. By combining text classification and dynamic social network analysis, we uncover mechanisms driving community formation and evolution, revealing the influence of real-world events. We introduced fourteen key elements based on social science theories to evaluate social media dynamics, validating our framework through a case study of Twitter data during major U.S. events in 2020. Our analysis centers on discrimination discourse, identifying sexism, racism, xenophobia, ableism, homophobia, and religious intolerance as main fragments. Results demonstrate rapid community emergence and dissolution cycles representative of discourse fragments. We reveal how real-world circumstances impact discourse dominance and how social media contributes to echo chamber formation and societal polarization. Our comprehensive approach provides insights into discourse fragmentation, opinion dynamics, and structural aspects of online communities, offering a methodology for understanding the complex interplay between online interactions and societal trends.

Published
2024

3. From Text to Insight: Large Language Models for Materials Science Data Extraction

Author

Schilling-Wilhelmi, Mara, Ríos-García, Martiño, Shabih, Sherjeel, Gil, María Victoria, Miret, Santiago, Koch, Christoph T., Márquez, José A., and Jablonka, Kevin Maik

Subjects
Condensed Matter - Materials Science, Computer Science - Machine Learning
Abstract

The vast majority of materials science knowledge exists in unstructured natural language, yet structured data is crucial for innovative and systematic materials design. Traditionally, the field has relied on manual curation and partial automation for data extraction for specific use cases. The advent of large language models (LLMs) represents a significant shift, potentially enabling efficient extraction of structured, actionable data from unstructured text by non-experts. While applying LLMs to materials science data extraction presents unique challenges, domain knowledge offers opportunities to guide and validate LLM outputs. This review provides a comprehensive overview of LLM-based structured data extraction in materials science, synthesizing current knowledge and outlining future directions. We address the lack of standardized guidelines and present frameworks for leveraging the synergy between LLMs and materials science expertise. This work serves as a foundational resource for researchers aiming to harness LLMs for data-driven materials research. The insights presented here could significantly enhance how researchers across disciplines access and utilize scientific information, potentially accelerating the development of novel materials for critical societal needs.

Published
2024

6. Thermal escape box: A cost-benefit evaluation paradigm for investigating thermosensation and thermal pain.

Author

Dayton, Jacquelyn, Marquez, Jose, Romo, Alejandra, Chen, Yi-Je, Griffith, Theanne, and Contreras, Jorge

Subjects
Cost-benefit analysis, Decision-based behavior, Nociception, Thermal allodynia, Thermal hyperalgesia, Thermosensation
Abstract

Thermosensation, the ability to detect and estimate temperature, is an evolutionarily conserved process that is essential for survival. Thermosensing is impaired in various pain syndromes, resulting in thermal allodynia, the perception of an innocuous temperature as painful, or thermal hyperalgesia, an exacerbated perception of a painful thermal stimulus. Several behavioral assays exist to study thermosensation and thermal pain in rodents, however, most rely on reflexive withdrawal responses or the subjective quantification of spontaneous nocifensive behaviors. Here, we created a new apparatus, the thermal escape box, which can be attached to temperature-controlled plates and used to assess temperature-dependent effort-based decision-making. The apparatus consists of a light chamber with an opening that fits around temperature-controlled plates, and a small entryway into a dark chamber. A mouse must choose to stay in a brightly lit aversive area or traverse the plates to escape to the enclosed dark chamber. We quantified escape latencies of adult C57Bl/6 mice at different plate temperatures from video recordings and found they were significantly longer at 5 °C, 18 °C, and 52 °C, compared to 30 °C, a mouses preferred ambient temperature. Differences in escape latencies were abolished in male Trpm8-/- mice and in male Trpv1-/- animals. Finally, we show that chronic constriction injury procedures or oxaliplatin treatement significantly increased escape latencies at cold temperatures compared to controls, the later of which was prevented by the analgesic meloxicam. This demonstrates the utility of this assay in detecting cold pain. Collectively, our study has identified a new and effective tool that uses cost-benefit valuations to study thermosensation and thermal pain.

Published
2024

11. Analyzing social media with crowdsourcing in Crowd4SDG

Author

Bono, Carlo, Mülâyim, Mehmet Oğuz, Cappiello, Cinzia, Carman, Mark, Cerquides, Jesus, Fernandez-Marquez, Jose Luis, Mondardini, Rosy, Ramalli, Edoardo, and Pernici, Barbara

Subjects
Computer Science - Computers and Society, Computer Science - Artificial Intelligence, Computer Science - Information Retrieval
Abstract

Social media have the potential to provide timely information about emergency situations and sudden events. However, finding relevant information among millions of posts being posted every day can be difficult, and developing a data analysis project usually requires time and technical skills. This study presents an approach that provides flexible support for analyzing social media, particularly during emergencies. Different use cases in which social media analysis can be adopted are introduced, and the challenges of retrieving information from large sets of posts are discussed. The focus is on analyzing images and text contained in social media posts and a set of automatic data processing tools for filtering, classification, and geolocation of content with a human-in-the-loop approach to support the data analyst. Such support includes both feedback and suggestions to configure automated tools, and crowdsourcing to gather inputs from citizens. The results are validated by discussing three case studies developed within the Crowd4SDG H2020 European project.

Published
2022

17. The future of integrated structural biology

Author

Schwalbe, Harald, Audergon, Pauline, Haley, Natalie, Amaro, Claudia Alen, Agirre, Jon, Baldus, Marc, Banci, Lucia, Baumeister, Wolfgang, Blackledge, Martin, Carazo, Jose Maria, Carugo, Kristina Djinovic, Celie, Patrick, Felli, Isabella, Hart, Darren J., Hauß, Thomas, Lehtiö, Lari, Lindorff-Larsen, Kresten, Márquez, José, Matagne, André, Pierattelli, Roberta, Rosato, Antonio, Sobott, Frank, Sreeramulu, Sridhar, Steyaert, Jan, Sussman, Joel L., Trantirek, Lukas, Weiss, Manfred S., and Wilmanns, Matthias

Published
2024
Full Text
View/download PDF

18. Life satisfaction and mental health from age 17 to 21 years in a general population sample

Author

Marquez, Jose, Katsantonis, Ioannis, Sellers, Ruth, and Knies, Gundi

Subjects
Young adults -- Health aspects -- Psychological aspects -- Social aspects, Satisfaction -- Social aspects, Mental health -- Social aspects, Teenagers -- Health aspects -- Psychological aspects -- Social aspects, Youth -- Health aspects -- Psychological aspects -- Social aspects, Psychology and mental health
Abstract

Adolescence is a period when both mental health (MH) and wellbeing start deteriorating, which raises the question of how the two phenomena are linked and whether deterioration in one might be used to flag problematic developments in the other. While research shows that wellbeing and MH are associated, the direction of the association is not clear and longitudinal analyses, that might help disentangle the cause and effect, are scarce. Moreover, few studies have investigated the directional relation between MH and wellbeing early in the life course. In emerging adulthood, evidence indicates reciprocal associations and no gender differences, whereas, in early and middle adolescence, results are mixed and differ across gender. Thus, we investigated the relationship between MH and wellbeing and the moderating effect of gender in the crucial developmental transition from middle adolescence to emerging adulthood. We undertake a cross-lagged longitudinal data analysis from a pooled sample of six pseudo-cohorts, including information from 661 young people who participated in the UK Household Longitudinal Study at ages 17, 19, and 21. Using a 7-points overall life satisfaction (LS) scale as an index of wellbeing and the 12-item General Health Questionnaire as a measure of MH, we found no associations between LS and MH in the 17-19 transition and bidirectional associations in the 19-21 transition. There were no substantial gender differences in either transition. We conclude that LS and MH predict each other in the transition from late adolescence (age 19) to emerging adulthood (age 21) for both males and females., Author(s): Jose Marquez [sup.1] , Ioannis Katsantonis [sup.2] , Ruth Sellers [sup.3] [sup.4] , Gundi Knies [sup.5] Author Affiliations: (1) https://ror.org/027m9bs27, grid.5379.8, 0000 0001 2166 2407, Manchester Institute of Education, [...]

Published
2023
Full Text
View/download PDF

19. TriggerCit: Early Flood Alerting using Twitter and Geolocation -- a comparison with alternative sources

Author

Bono, Carlo, Pernici, Barbara, Fernandez-Marquez, Jose Luis, Shankar, Amudha Ravi, Mülâyim, Mehmet Oğuz, and Nemni, Edoardo

Subjects
Computer Science - Computers and Society
Abstract

Rapid impact assessment in the immediate aftermath of a natural disaster is essential to provide adequate information to international organisations, local authorities, and first responders. Social media can support emergency response with evidence-based content posted by citizens and organisations during ongoing events. In the paper, we propose TriggerCit: an early flood alerting tool with a multilanguage approach focused on timeliness and geolocation. The paper focuses on assessing the reliability of the approach as a triggering system, comparing it with alternative sources for alerts, and evaluating the quality and amount of complementary information gathered. Geolocated visual evidence extracted from Twitter by TriggerCit was analysed in two case studies on floods in Thailand and Nepal in 2021., Comment: 12 pages Keywords Social Media, Disaster management, Early Alerting

Published
2022

20. Introduction

Author

Andújar Márquez, José Manuel, Segura Manzano, Francisca, Rey Luengo, Jesús, Andújar Márquez, José Manuel, Segura Manzano, Francisca, and Rey Luengo, Jesús

Published
2023
Full Text
View/download PDF

22. Electrical Storage

Author

Andújar Márquez, José Manuel, Segura Manzano, Francisca, Rey Luengo, Jesús, Andújar Márquez, José Manuel, Segura Manzano, Francisca, and Rey Luengo, Jesús

Published
2023
Full Text
View/download PDF

26. Mechanical Storage

Author

Andújar Márquez, José Manuel, Segura Manzano, Francisca, Rey Luengo, Jesús, Andújar Márquez, José Manuel, Segura Manzano, Francisca, and Rey Luengo, Jesús

Published
2023
Full Text
View/download PDF

32. The PISA Performance Gap between National and Expatriate Students in the United Arab Emirates

Author

Marquez, Jose, Lambert, Louise, Ridge, Natasha Y., and Walker, Stuart

Abstract

In most education systems, students with an immigrant background perform worse academically than do native students. However, in the United Arab Emirates (UAE) differences emerge in the opposite direction and the national-expatriate gap in academic performance is equivalent to almost three years of schooling. This gap is a concern in the UAE, where national students mainly attend public schools while expatriates mostly attend private schools. In this study, to investigate the performance gap between national and expatriate students we estimate group differences and conduct linear regression analysis using data from the 2018 Programme for International Student Assessment. Results show that the gap varies by emirate and country of origin, and is greater among boys, better-off students and those attending private schools. Between 33% and 47% of this gap is explained by school type, whether public or private. We offer recommendations for the UAE that may also be useful for other high expatriate recruiting nations in development; however, in a country characterized by 85% expatriates and a maturing education policy, challenges remain.

Published
2022
Full Text
View/download PDF

34. Developing a Global Approach for Measurement of Adolescent Well-Being

Author

Guthold, Regina, Newby, Holly, Keogh, Sarah, Afifi, Rima A., Austrian, Karen, Baird, Sarah, Blum, Robert W., Bundy, Donald A.P., Deardorff, Julianna, Engel, Danielle, Klein, Jonathan D., Kostelecky, Sophie M., Mackworth-Young, Constance, Marquez, Jose, NicGabhainn, Saoirse, Requejo, Jennifer, Ross, David A., Saewyc, Elizabeth, and Mohan, Anshu

Published
2023
Full Text
View/download PDF

41. Does School Impact Adolescents' Life Satisfaction Differently for Students of Different Socio-Economic Status? A Comparative Study in 33 Countries

Author

Marquez, Jose

Abstract

Research shows that school is one of the most important life domains shaping adolescents' life satisfaction (LS) and this influence varies across countries and different groups of students (e.g. by gender). However, there is a lack of cross-country comparative research studying the links between school and students' LS and how this differs across socioeconomic status (SES). This study explores this question using multilevel regression to analyse data from the 2015 Programme for International Students Assessment study on 15-year-old students in 33 countries. Two measures of SES were considered: material well-being and a composite SES measure. Results indicate that (1) in some countries, distinct school-related factors may shape students' LS differently for students of higher and lower SES, (2) although there are some general patterns across countries for some school factors (bullying, academic competence, and parents' support in relation to school are more strongly associated with LS among students of lower SES), for most school factors, the picture is mixed, and (3) in around half of the countries, schools seem to moderate the association between SES and students' LS. Research and policy implications are discussed.

Published
2022
Full Text
View/download PDF

45. Mechanical circulatory support in severe primary graft dysfunction: Peripheral cannulation but not earlier implantation improves survival in heart transplantation

Author

Olivella, Aleix, Almenar-Bonet, Luis, González-Vilchez, Francisco, Díez-López, Carles, Díaz-Molina, Beatriz, Blázquez-Bermejo, Zorba, Sobrino-Márquez, José Manuel, Gómez-Bueno, Manuel, Garrido-Bravo, Iris P., Barge-Caballero, Eduardo, Farrero-Torres, Marta, García-Cosio, Maria Dolores, Blasco-Peiró, Teresa, Pomares-Varó, Antonia, Muñiz, Javier, and González-Costello, José

Published
2023
Full Text
View/download PDF

48. In-hospital and 6-month outcomes in patients with COVID-19 supported with extracorporeal membrane oxygenation (EuroECMO-COVID): a multicentre, prospective observational study

Author

Lorusso, Roberto, De Piero, Maria Elena, Mariani, Silvia, Di Mauro, Michele, Folliguet, Thierry, Taccone, Fabio Silvio, Camporota, Luigi, Swol, Justyna, Wiedemann, Dominik, Belliato, Mirko, Broman, Lars Mikael, Vuylsteke, Alain, Kassif, Yigal, Scandroglio, Anna Mara, Fanelli, Vito, Gaudard, Philippe, Ledot, Stephane, Barker, Julian, Boeken, Udo, Maier, Sven, Kersten, Alexander, Meyns, Bart, Pozzi, Matteo, Pedersen, Finn M, Schellongowski, Peter, Kirali, Kaan, Barrett, Nicholas, Riera, Jordi, Mueller, Thomas, Belohlavek, Jan, Lo Coco, Valeria, Van der Horst, Iwan C C, Van Bussel, Bas C T, Schnabel, Ronny M, Delnoij, Thijs, Bolotin, Gil, Lorini, Luca, Schmiady, Martin O, Schibilsky, David, Kowalewski, Mariusz, Pinto, Luis F, Silva, Pedro E, Kornilov, Igor, Blandino Ortiz, Aaron, Vercaemst, Leen, Finney, Simon, Roeleveld, Peter P, Di Nardo, Matteo, Hennig, Felix, Antonini, Marta Velia, Davidson, Mark, Jones, Tim J, Staudinger, Thomas, Mair, Peter, Kilo, Juliane, Krapf, Christoph, Erbert, Kathrin, Peer, Andreas, Bonaros, Nikolaos, Kotheletner, Florian, Krenner Mag, Niklas, Shestakova, Liana, Hermans, Greet, Dauwe, Dieter, Meersseman, Philippe, Stockman, Bernard, Nobile, Leda, Lhereux, Olivier, Nrasseurs, Alexandre, Creuter, Jacques, De Backer, Daniel, Giglioli, Simone, Michiels, Gregoire, Foulon, Pierre, Raes, Matthias, Rodrigus, Inez, Allegaert, Matthias, Jorens, Philippe, Debeucklare, Gerd, Piagnerelli, Michael, Biston, Patrick, Peperstraete, Harlinde, Vandewiele, Komeel, Germay, Olivier, Vandeweghe, Dimitri, Havrin, Sven, Bourgeois, Marc, Lagny, Marc-Gilbert, Alois, Genette, Lavios, Nathalie, Misset, Benoit, Courcelle, Romain, Timmermans, Philippe J, Yilmaz, Alaaddin, Vantomout, Michiel, Lehaen, Jerone, Jassen, Ame, Guterman, Herbert, Strauven, Maarten, Lormans, Piet, Verhamme, Bruno, Vandewaeter, catherine, Bonte, Frederik, Vionne, Dominique, Balik, Martin, Blàha, Jan, Lips, Michal, Othal, Michal, Bursa, Filip, Spacek, Radim, Christensen, Steffen, Jorgensen, Vibeke, Sorensen, Marc, Madsen, Soren A, Puss, Severin, Beljantsev, Aleksandr, Saiydoun, gabriel, Fiore, Antonio, Colson, Pascal, Bazalgette, Florian, Capdevila, Xavier, Kollen, Sebastien, Muller, Laurent, Obadia, Jean-Francois, Dubien, Pierre-Yves, Ajrhourh, Lucrezia, Guinot, Pierre G, Zarka, Jonathan, Besserve, Patricia, Malfertheiner, Maximilian V, Dreier, Esther, Heinze, Birgit, Akhyari, Payam, Lichtenberg, Artur, Aubin, Hug, Assman, Alexander, Saeed, Diyar, Thiele, Holger, Baumgaertel, Matthias, Schmitto, Jan D, Ruslan, Natanov, Haverich, Axel, Thielmann, Matthias, Brenner, Thorsten, Ruhpawar, Arjang, Benk, Christoph, Czerny, Martin, Staudacher, Dawid L, Beyersdorf, Fridhelm, Kalbhenn, Johannes, Henn, Philipp, Popov, Aron-Frederik, Iuliu, Torje, Muellenbach, Ralf, Reyher, Christian, Rolfes, Caroline, Lotz, Gosta, Sonntagbauer, Michael, Winkels, Helen, Fichte, Julia, Stohr, Robert, Kalverkamp, Sebastian, Karagiannidis, Christian, Schafer, Simone, Svetlitchny, Alexei, Hopf, Hans-Bernd, Jarczak, Dominik, Groesdonk, Heinirich, Rommer, Magdalena, Hirsch, Jan, Kaehny, Christian, Soufleris, Dimitros, Gavriilidis, Georgios, Pontikis, Kostantinos, Kyriakopoulou, Magdalini, Kyriakoudi, Anna, O'Brien, Serena, Conrick-Martin, Ian, Carton, Edmund, Makhoul, Maged, Ben-Ari, Josef, Hadash, Amir, Kogan, Alexander, Kassif Lerner, Reut, Abu-Shakra, Anas, Matan, Moshe, Balawona, Ahmad, Kachel, Erez, Altshuler, Roman, Galante, Ori, Fuchs, Lior, Almog, Yaniv, Ishay, Yaron S, Lichter, Yael, Gal-oz, Amir, Carmi, Uri, Nini, Asaph, Soroksky, Arie, Dekel, Hagi, Rozman, Ziv, Tayem, Emad, Ilgiyaev, Eduard, Hochman, Yuval, Miltau, daniel, Rapoport, Avigal, Eden, Arieh, Kompanietz, Dmitry, Yousif, Michael, Golos, Miri, Grazioli, Lorenzo, Ghitti, Davide, Loforte, Antonio, Di Luca, Daniela, Baiocchi, Massimo, Pacini, Davide, Cappai, Antioco, Meani, Paolo, Mondino, Michele, Russo, Claudio F, Ranucci, Marco, Fina, Dario, Cotza, Marco, Ballotta, Andrea, Landoni, Giovanni, Nardelli, Pasquale, Fominski, Eygeny V, Brazzi, Luca, Montrucchio, Giorgia, Sales, Gabriele, Simonetti, Umberto, Livigni, Sergio, Silengo, Daniela, Arena, Giulia, Sovatzis, Stefania S, Degani, Antonella, Riccardi, Mariachiara, Milanesi, Elisa, Raffa, Giuseppe, Martucci, Gennaro, Arcadipane, Antonio, Panarello, Giovanna, Chiarini, Giovanni, Cattaneo, Sergio, Puglia, Carmine, Benussi, Stefano, Foti, Giuseppe, Giani, Marco, Bombino, Michela, Costa, Maria Cristina, Rona, Roberto, Avalli, Leonello, Donati, Abele, Carozza, Roberto, Gasparri, Francesco, Carsetti, Andrea, Picichè, Marco, Marinello, Anna, Danzi, Vinicio, Zanin, Anita, Condello, Ignazio, Fiore, Flavio, Moscarelli, Marco, Nasso, Giuseppe, Speziale, Giuseppe, Sandrelli, Luca, Montalto, Andrea, Musumeci, Francesco, Circelli, Alessandro, Russo, Emanuele, Agnoletti, Vanni, Rociola, Ruggero, Milano, Aldo D, Pilato, Emanuele, Comentale, Giuseppe, Montisci, Andrea, Alessandri, Francesco, Tosi, Antonella, Pugliese, Francesco, Giordano, Giovanni, Carelli, Simone, Grieco, Domenico L, Dell'Anna, Antonio M, Antonelli, Massimo, Ramoni, Enrico, Zulueta, Josè, Del Giglio, Mauro, Petracca, Sebastiano, Bertini, Pietro, Guarracino, Fabio, De Simone, Luigi, Angeletti, Paolo M, Forfori, Francesco, Taraschi, Francesco, Quintiliani, Veronica N, Samalavicius, Robertas, Jankuviene, Agne, Scupakova, Nadezda, Urbonas, Karolis, Kapturauskas, Juozas, Soerensen, Gro, Suwalski, Piotr, Linhares Santos, Luis, Marques, Ana, Miranda, Marisa, Teixeira, Sonia, Salgueiro, Andrea, Pereira, Filipe, Ketskalo, Michail, Tsarenko, Sergey, Shilova, Alexandra, Afukov, Ivan, Popugaev, Konstantin, Minin, Sergei, Shelukhin, Daniil, Malceva, Olga, Gleb, Moroz, Skopets, Alexander, Kornelyuk, Roman, Kulikov, Alexandr, Okhrimchuk, Vadim, Turchaninov, Alexandr, Petrushin, Maxim, Sheck, Anastasia, Mekulov, Akhmed, Ciryateva, Svetlana, Urusov, Dmitry, Gorjup, Vojka, Golicnik, Alenka, Goslar, Tomaz, Ferrer, Ricard, Martinez-Martinez, Maria, Argudo, Eduard, Palmer, Neiser, De Pablo Sanchez, Raul, Juan Higuera, Lucas, Arnau Blasco, Lucas, Marquez, Josè A, Sbraga, Fabrizio, Fuset, Mari Paz, De Gopegui, Pablo Ruiz, Claraco, Luis M, De Ayala, Josè A, Peiro, Maranta, Ricart, Pilar, Martinez, Sergio, Chavez, Fernando, Fabra, Marc, Sandoval, elena, Toapanta, David, Carraminana, Albert, Tellez, Adrian, Ososio, Jeysson, Milan, Pablo, Rodriguez, Jorge, Andoni, Garcia, Gutierrez, Carola, Perez de la Sota, Enrique, Eixeres-Esteve, Andrea, Garcia-Maellas, Maria Teresa, Gutierrez-Gutierrez, Judit, Arboleda-Salazar, Rafael, Santa Teresa, Patricia, Jaspe, Alexis, Garrido, Alberto, Castaneda, Galo, Alcantara, Sara, Martinez, Nuria, Perez, Marina, Villanueva, Hector, Vidal Gonzalez, Anxela, Paez, Juan, Santon, Arnoldo, Perez, Cesar, Lopez, Marta, Rubio Lopez, Maria Isabel, Gordillo, Antonio, Naranjo-Izurieta, Jose, Munoz, Javier, Alcalde, Immaculada, Onieva, Fernando, Gimeno Costa, Ricardo, Perez, Francisco, Madrid, Isabel, Gordon, Monica, Albacete Moreno, Carlos L, Perez, Daniel, Lopez, Nayara, Martinenz, Domingo, Blanco-Schweizer, Pablo, Diez, Cristina, Perez, David, Prieto, Ana, Renedo, Gloria, Bustamante, Elena, Cicuendez, Ramon, Citores, Rafael, Boado, Victoria, Garcia, Katherine, Voces, Roberto, Domezain, Monica, Nunez Martinez, Jose Maria, Vicente, Raimundo, Martin, David, Andreu, Antonio, Gomez Casal, Vanesa, Chico, Ignacio, Menor, Eva Maria, Vara, Sabela, Gamacho, Jose, Perez-Chomon, Helen, Javier Gonzales, Francisco, Barrero, Irene, Martin-Villen, Luis, Fernandez, Esperanza, Mendoza, Maria, Navarro, Joaquin, Colomina Climent, Joaquin, Gonzales-Perez, Alfredo, Muniz-Albaceita, Guillermo, Amado, Laura, Rodriguez, Raquel, Ruiz, Emilio, Eiras, Maria, Grins, Edgars, Magnus, Rosen, Kanetoft, Mikael, Eidevald, Marcus, Watson, Pia, Vogt, Paul R, Steiger, Peter, Aigner, Tobias, Weber, Alberto, Grunefelder, Jurg, Kunz, Martin, Grapow, Martin, Aymard, Thierry, Reser, Diana, Agus, Gianluca, Consiglio, Jolanda, Haenggi, Matthias, Hansjoerg, Jenni, Iten, Manuela, Doeble, Thomas, Zenklusen, Urs, Bechtold, Xavier, Faedda, Giovanni, Iafrate, Manuel, Rohjer, Amanda, Bergamaschi, Layla, Maessen, Jos, Reis Miranda, Dinis, Endeman, H, Gommers, D, Meuwese, C, Maas, Jacinta, Van Gijlswijk, MJ, Van Berg, RN, Candura, Dario, Van der Linden, Marcel, Kant, Merijin, Van der Heijden, JJ, Scholten, Eric, Van Belle-van Haren, Nicole, Lagrand, WK, Vlaar, Alexander P, De Jong, Syste, Cander, Basar, Sargin, Murat, Ugur, Murat, Kaygin, Mehmet A, Daly, Kathleen, Agnew, Nicola, Head, Laura, Kelly, Laura, Anoma, Gunawardena, Russell, Clare, Aquino, Verna, Scott, Ian, Flemming, Lucy, Gillon, Stuart, Moore, Olivia, Gelandt, Elton, Auzinger, George, Patel, Sameer, and Loveridge, Robert

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results