Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Toan L D Huynh"'
Publikováno v:
Archives of Public Health, Vol 80, Iss 1, Pp 1-14 (2022)
Abstract Background Since vaccination is the decisive factor for controlling the COVID-19 pandemic, it is important to understand the process of vaccination success which is not well understood on a global level. The study is the first to judge the n
Externí odkaz:
https://doaj.org/article/c84fbdab4ee04d9a9ab5f88a1c097f2e
Autor:
Toan L. D. Huynh, Marc Oliver Rieger, Mei Wang, David Berens, Duy-Linh Bui, Hung-Ling Chen, Tobias Peter Emering, Sen Geng, Yang Liu-Gerhards, Thomas Neumann, Thanh Dac Nguyen, Thong Trung Nguyen, Diefeng Peng, Thuy Chung Phan, Denis Reinhardt, Junyi Shen, Hiromasa Takahashi, Bodo Vogt
Publikováno v:
Data, Vol 7, Iss 10, p 137 (2022)
The data presented here contain information on cheating behavior from experiments and general self-reported attitudes related to honesty-related social norms and trust, together with individual-level demographic variables. Our sample included 493 uni
Externí odkaz:
https://doaj.org/article/0d21fd6ffb3d45c0865d267df36fa17d
Publikováno v:
Journal of International Financial Management & Accounting.
Autor:
Tomislav Pavlović, Flavio Azevedo, Koustav De, Julián C Riaño-Moreno, Marina Maglić, Theofilos Gkinopoulos, Patricio Andreas Donnelly-Kehoe, César Payán-Gómez, Guanxiong Huang, Jaroslaw Kantorowicz, Michèle D Birtel, Philipp Schönegger, Valerio Capraro, Hernando Santamaría-García, Meltem Yucel, Agustin Ibanez, Steve Rathje, Erik Wetter, Dragan Stanojević, Jan-Willem van Prooijen, Eugenia Hesse, Christian T Elbaek, Renata Franc, Zoran Pavlović, Panagiotis Mitkidis, Aleksandra Cichocka, Michele Gelfand, Mark Alfano, Robert M Ross, Hallgeir Sjåstad, John B Nezlek, Aleksandra Cislak, Patricia Lockwood, Koen Abts, Elena Agadullina, David M Amodio, Matthew A J Apps, John Jamir Benzon Aruta, Sahba Besharati, Alexander Bor, Becky Choma, William Cunningham, Waqas Ejaz, Harry Farmer, Andrej Findor, Biljana Gjoneska, Estrella Gualda, Toan L D Huynh, Mostak Ahamed Imran, Jacob Israelashvili, Elena Kantorowicz-Reznichenko, André Krouwel, Yordan Kutiyski, Michael Laakasuo, Claus Lamm, Jonathan Levy, Caroline Leygue, Ming-Jen Lin, Mohammad Sabbir Mansoor, Antoine Marie, Lewend Mayiwar, Honorata Mazepus, Cillian McHugh, Andreas Olsson, Tobias Otterbring, Dominic Packer, Jussi Palomäki, Anat Perry, Michael Bang Petersen, Arathy Puthillam, Tobias Rothmund, Petra C Schmid, David Stadelmann, Augustin Stoica, Drozdstoy Stoyanov, Kristina Stoyanova, Shruti Tewari, Bojan Todosijević, Benno Torgler, Manos Tsakiris, Hans H Tung, Radu Gabriel Umbreș, Edmunds Vanags, Madalina Vlasceanu, Andrew J Vonasch, Yucheng Zhang, Mohcine Abad, Eli Adler, Hamza Alaoui Mdarhri, Benedict Antazo, F Ceren Ay, Mouhamadou El Hady Ba, Sergio Barbosa, Brock Bastian, Anton Berg, Michał Białek, Ennio Bilancini, Natalia Bogatyreva, Leonardo Boncinelli, Jonathan E Booth, Sylvie Borau, Ondrej Buchel, Chrissie Ferreira de Carvalho, Tatiana Celadin, Chiara Cerami, Hom Nath Chalise, Xiaojun Cheng, Luca Cian, Kate Cockcroft, Jane Conway, Mateo A Córdoba-Delgado, Chiara Crespi, Marie Crouzevialle, Jo Cutler, Marzena Cypryańska, Justyna Dabrowska, Victoria H Davis, John Paul Minda, Pamala N Dayley, Sylvain Delouvée, Ognjan Denkovski, Guillaume Dezecache, Nathan A Dhaliwal, Alelie Diato, Roberto Di Paolo, Uwe Dulleck, Jānis Ekmanis, Tom W Etienne, Hapsa Hossain Farhana, Fahima Farkhari, Kristijan Fidanovski, Terry Flew, Shona Fraser, Raymond Boadi Frempong, Jonathan Fugelsang, Jessica Gale, E Begoña García-Navarro, Prasad Garladinne, Kurt Gray, Siobhán M Griffin, Bjarki Gronfeldt, June Gruber, Eran Halperin, Volo Herzon, Matej Hruška, Matthias F C Hudecek, Ozan Isler, Simon Jangard, Frederik Jørgensen, Oleksandra Keudel, Lina Koppel, Mika Koverola, Anton Kunnari, Josh Leota, Eva Lermer, Chunyun Li, Chiara Longoni, Darragh McCashin, Igor Mikloušić, Juliana Molina-Paredes, César Monroy-Fonseca, Elena Morales-Marente, David Moreau, Rafał Muda, Annalisa Myer, Kyle Nash, Jonas P Nitschke, Matthew S Nurse, Victoria Oldemburgo de Mello, M Soledad Palacios-Galvez, Yafeng Pan, Zsófia Papp, Philip Pärnamets, Mariola Paruzel-Czachura, Silva Perander, Michael Pitman, Ali Raza, Gabriel Gaudencio Rêgo, Claire Robertson, Iván Rodríguez-Pascual, Teemu Saikkonen, Octavio Salvador-Ginez, Waldir M Sampaio, Gaia Chiara Santi, David Schultner, Enid Schutte, Andy Scott, Ahmed Skali, Anna Stefaniak, Anni Sternisko, Brent Strickland, Jeffrey P Thomas, Gustav Tinghög, Iris J Traast, Raffaele Tucciarelli, Michael Tyrala, Nick D Ungson, Mete Sefa Uysal, Dirk Van Rooy, Daniel Västfjäll, Joana B Vieira, Christian von Sikorski, Alexander C Walker, Jennifer Watermeyer, Robin Willardt, Michael J A Wohl, Adrian Dominik Wójcik, Kaidi Wu, Yuki Yamada, Onurcan Yilmaz, Kumar Yogeeswaran, Carolin-Theresa Ziemer, Rolf A Zwaan, Paulo Sergio Boggio, Ashley Whillans, Paul A M Van Lange, Rajib Prasad, Michal Onderco, Cathal O'Madagain, Tarik Nesh-Nash, Oscar Moreda Laguna, Emily Kubin, Mert Gümren, Ali Fenwick, Arhan S Ertan, Michael J Bernstein, Hanane Amara, Jay Joseph Van Bavel
Publikováno v:
PNAS nexus, 1(3)
PNAS Nexus, 1 (3)
PNAS Nexus
PNAS Nexus, 2022, 1 (3), ⟨10.1093/pnasnexus/pgac093⟩
PNAS Nexus, 1(3):pgac093, 1-15
PNAS nexus, 1(3):pgac093
Pavlović, T, Azevedo, F, De, K, Riaño-Moreno, J C, Maglić, M, Gkinopoulos, T, Donnelly-Kehoe, P A, Payán-Gómez, C, Huang, G, Kantorowicz, J, Birtel, M D, Schönegger, P, Capraro, V, Santamaría-García, H, Yucel, M, Ibanez, A, Rathje, S, Wetter, E, Stanojević, D, van Prooijen, J-W, Hesse, E, Elbaek, C T, Franc, R, Pavlović, Z, Mitkidis, P, Cichocka, A, Gelfand, M, Alfano, M, Ross, R M, Sjåstad, H, Nezlek, J B, Cislak, A, Lockwood, P, Abts, K, Agadullina, E, Amodio, D M, Apps, M A J, Aruta, J J B, Besharati, S, Bor, A, Choma, B, Cunningham, W, Ejaz, W, Farmer, H, Findor, A, Gjoneska, B, Gualda, E, Huynh, T L D, Imran, M A, Israelashvili, J, Kantorowicz-Reznichenko, E, Krouwel, A, Kutiyski, Y, Laakasuo, M, Lamm, C, Levy, J, Leygue, C, Lin, M-J, Mansoor, M S, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Olsson, A, Otterbring, T, Packer, D, Palomäki, J, Perry, A, Petersen, M B, Puthillam, A, Rothmund, T, Schmid, P C, Stadelmann, D, Stoica, A, Stoyanov, D, Stoyanova, K, Tewari, S, Todosijević, B, Torgler, B, Tsakiris, M, Tung, H H, Umbreș, R G, Vanags, E, Vlasceanu, M, Vonasch, A J, Zhang, Y, Abad, M, Adler, E, Mdarhri, H A, Antazo, B, Ay, F C, Ba, M E H, Barbosa, S, Bastian, B, Berg, A, Białek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, J E, Borau, S, Buchel, O, de Carvalho, C F, Celadin, T, Cerami, C, Chalise, H N, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Córdoba-Delgado, M A, Crespi, C, Crouzevialle, M, Cutler, J, Cypryańska, M, Dabrowska, J, Davis, V H, Minda, J P, Dayley, P N, Delouvée, S, Denkovski, O, Dezecache, G, Dhaliwal, N A, Diato, A, Paolo, R D, Dulleck, U, Ekmanis, J, Etienne, T W, Farhana, H H, Farkhari, F, Fidanovski, K, Flew, T, Fraser, S, Frempong, R B, Fugelsang, J, Gale, J, García-Navarro, E B, Garladinne, P, Gray, K, Griffin, S M, Gronfeldt, B, Gruber, J, Halperin, E, Herzon, V, Hruška, M, Hudecek, M F C, Isler, O, Jangard, S, Jørgensen, F, Keudel, O, Koppel, L, Koverola, M, Kunnari, A, Leota, J, Lermer, E, Li, C, Longoni, C, McCashin, D, Mikloušić, I, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nitschke, J P, Nurse, M S, de Mello, V O, Palacios-Galvez, M S, Palomäki, J, Pan, Y, Papp, Z, Pärnamets, P, Paruzel-Czachura, M, Perander, S, Pitman, M, Raza, A, Rêgo, G G, Robertson, C, Rodríguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, W M, Santi, G C, Schultner, D, Schutte, E, Scott, A, Skali, A, Stefaniak, A, Sternisko, A, Strickland, B, Strickland, B, Thomas, J P, Tinghög, G, Traast, I J, Tucciarelli, R, Tyrala, M, Ungson, N D, Uysal, M S, Van Rooy, D, Västfjäll, D, Vieira, J B, von Sikorski, C, Walker, A C, Watermeyer, J, Willardt, R, Wohl, M J A, Wójcik, A D, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, R A, Boggio, P S, Whillans, A, Van Lange, P A M, Prasad, R, Onderco, M, O'Madagain, C, Nesh-Nash, T, Laguna, O M, Kutiyski, Y, Kubin, E, Gümren, M, Fenwick, A, Ertan, A S, Bernstein, M J, Amara, H & Van Bavel, J J 2022, ' Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning ', PNAS Nexus, vol. 1, no. 3, pgac093 . https://doi.org/10.1093/pnasnexus/pgac093
Pavlović, T, Azevedo, F, De, K, Riaño-Moreno, J C, Maglić, M, Gkinopoulos, T, Donnelly-Kehoe, P A, Payán-Gómez, C, Huang, G, Kantorowicz, J, Birtel, M D, Schönegger, P, Capraro, V, Santamaría-García, H, Yucel, M, Ibanez, A, Rathje, S, Wetter, E, Stanojević, D, van Prooijen, J-W, Hesse, E, Elbaek, C T, Franc, R, Pavlović, Z, Cichocka, A & Krouwel, A 2022, ' Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning ', PNAS Nexus, vol. 1, no. 3, pgac093, pp. 1-15 . https://doi.org/10.1093/pnasnexus/pgac093
PNAS Nexus, 1 (3)
PNAS Nexus
PNAS Nexus, 2022, 1 (3), ⟨10.1093/pnasnexus/pgac093⟩
PNAS Nexus, 1(3):pgac093, 1-15
PNAS nexus, 1(3):pgac093
Pavlović, T, Azevedo, F, De, K, Riaño-Moreno, J C, Maglić, M, Gkinopoulos, T, Donnelly-Kehoe, P A, Payán-Gómez, C, Huang, G, Kantorowicz, J, Birtel, M D, Schönegger, P, Capraro, V, Santamaría-García, H, Yucel, M, Ibanez, A, Rathje, S, Wetter, E, Stanojević, D, van Prooijen, J-W, Hesse, E, Elbaek, C T, Franc, R, Pavlović, Z, Mitkidis, P, Cichocka, A, Gelfand, M, Alfano, M, Ross, R M, Sjåstad, H, Nezlek, J B, Cislak, A, Lockwood, P, Abts, K, Agadullina, E, Amodio, D M, Apps, M A J, Aruta, J J B, Besharati, S, Bor, A, Choma, B, Cunningham, W, Ejaz, W, Farmer, H, Findor, A, Gjoneska, B, Gualda, E, Huynh, T L D, Imran, M A, Israelashvili, J, Kantorowicz-Reznichenko, E, Krouwel, A, Kutiyski, Y, Laakasuo, M, Lamm, C, Levy, J, Leygue, C, Lin, M-J, Mansoor, M S, Marie, A, Mayiwar, L, Mazepus, H, McHugh, C, Olsson, A, Otterbring, T, Packer, D, Palomäki, J, Perry, A, Petersen, M B, Puthillam, A, Rothmund, T, Schmid, P C, Stadelmann, D, Stoica, A, Stoyanov, D, Stoyanova, K, Tewari, S, Todosijević, B, Torgler, B, Tsakiris, M, Tung, H H, Umbreș, R G, Vanags, E, Vlasceanu, M, Vonasch, A J, Zhang, Y, Abad, M, Adler, E, Mdarhri, H A, Antazo, B, Ay, F C, Ba, M E H, Barbosa, S, Bastian, B, Berg, A, Białek, M, Bilancini, E, Bogatyreva, N, Boncinelli, L, Booth, J E, Borau, S, Buchel, O, de Carvalho, C F, Celadin, T, Cerami, C, Chalise, H N, Cheng, X, Cian, L, Cockcroft, K, Conway, J, Córdoba-Delgado, M A, Crespi, C, Crouzevialle, M, Cutler, J, Cypryańska, M, Dabrowska, J, Davis, V H, Minda, J P, Dayley, P N, Delouvée, S, Denkovski, O, Dezecache, G, Dhaliwal, N A, Diato, A, Paolo, R D, Dulleck, U, Ekmanis, J, Etienne, T W, Farhana, H H, Farkhari, F, Fidanovski, K, Flew, T, Fraser, S, Frempong, R B, Fugelsang, J, Gale, J, García-Navarro, E B, Garladinne, P, Gray, K, Griffin, S M, Gronfeldt, B, Gruber, J, Halperin, E, Herzon, V, Hruška, M, Hudecek, M F C, Isler, O, Jangard, S, Jørgensen, F, Keudel, O, Koppel, L, Koverola, M, Kunnari, A, Leota, J, Lermer, E, Li, C, Longoni, C, McCashin, D, Mikloušić, I, Molina-Paredes, J, Monroy-Fonseca, C, Morales-Marente, E, Moreau, D, Muda, R, Myer, A, Nash, K, Nitschke, J P, Nurse, M S, de Mello, V O, Palacios-Galvez, M S, Palomäki, J, Pan, Y, Papp, Z, Pärnamets, P, Paruzel-Czachura, M, Perander, S, Pitman, M, Raza, A, Rêgo, G G, Robertson, C, Rodríguez-Pascual, I, Saikkonen, T, Salvador-Ginez, O, Sampaio, W M, Santi, G C, Schultner, D, Schutte, E, Scott, A, Skali, A, Stefaniak, A, Sternisko, A, Strickland, B, Strickland, B, Thomas, J P, Tinghög, G, Traast, I J, Tucciarelli, R, Tyrala, M, Ungson, N D, Uysal, M S, Van Rooy, D, Västfjäll, D, Vieira, J B, von Sikorski, C, Walker, A C, Watermeyer, J, Willardt, R, Wohl, M J A, Wójcik, A D, Wu, K, Yamada, Y, Yilmaz, O, Yogeeswaran, K, Ziemer, C-T, Zwaan, R A, Boggio, P S, Whillans, A, Van Lange, P A M, Prasad, R, Onderco, M, O'Madagain, C, Nesh-Nash, T, Laguna, O M, Kutiyski, Y, Kubin, E, Gümren, M, Fenwick, A, Ertan, A S, Bernstein, M J, Amara, H & Van Bavel, J J 2022, ' Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning ', PNAS Nexus, vol. 1, no. 3, pgac093 . https://doi.org/10.1093/pnasnexus/pgac093
Pavlović, T, Azevedo, F, De, K, Riaño-Moreno, J C, Maglić, M, Gkinopoulos, T, Donnelly-Kehoe, P A, Payán-Gómez, C, Huang, G, Kantorowicz, J, Birtel, M D, Schönegger, P, Capraro, V, Santamaría-García, H, Yucel, M, Ibanez, A, Rathje, S, Wetter, E, Stanojević, D, van Prooijen, J-W, Hesse, E, Elbaek, C T, Franc, R, Pavlović, Z, Cichocka, A & Krouwel, A 2022, ' Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning ', PNAS Nexus, vol. 1, no. 3, pgac093, pp. 1-15 . https://doi.org/10.1093/pnasnexus/pgac093
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4d413b06e9f46b702b9915bb740c67
https://pure.eur.nl/en/publications/d49b5772-745d-420b-b770-a57ce446425f
https://pure.eur.nl/en/publications/d49b5772-745d-420b-b770-a57ce446425f
Publikováno v:
Evaluation Review. :0193841X2210853
Background Voluminous vaccine campaigns have been used globally, since the COVID-19 pandemic has brought devastating mortality and destructively unprecedented consequences to different aspects of economies. This study aimed to identify how the number