COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

Autor: Yamada, Y, Ćepulić, D-B, Coll-Martín, T, Debove, S, Gautreau, G, Han, H, Rasmussen, J, Tran, TP, Travaglino, GA, Lieberoth, A, Blackburn, AM, Boullu, L, Bujić, M, Byrne, G, Caniëls, MCJ, Flis, I, Kowal, M, Rachev, NR, Reynoso-Alcántara, V, Zerhouni, O, Ahmed, O, Amin, R, Aquino, S, Areias, JC, Aruta, JJBR, Bamwesigye, D, Bavolar, J, Bender, AR, Bhandari, P, Bircan, T, Cakal, H, Capelos, T, Čeněk, J, Ch’ng, B, Chen, F-Y, Chrona, S, Contreras-Ibáñez, CC, Correa, PS, Cristofori, I, Cyrus-Lai, W, Delgado-Garcia, G, Deschrijver, E, Díaz, C, Dilekler, İ, Dranseika, V, Dubrov, D, Eichel, K, Ermagan-Caglar, E, Gelpí, R, González, RF, Griffin, A, Hakim, MA, Hanusz, K, Ho, YW, Hristova, D, Hubena, B, Ihaya, K, Ikizer, G, Islam, MN, Jeftic, A, Jha, S, Juárez, FP-G, Kacmar, P, Kalinova, K, Kavanagh, PS, Kosa, M, Koszałkowska, K, Kumaga, R, Lacko, D, Lee, Y, Lentoor, AG, De Leon, GA, Lin, S-Y, Lins, S, López, CRC, Lys, AE, Mahlungulu, S, Makaveeva, T, Mamede, S, Mari, S, Marot, TA, Martinez, L, Meshi, D, Mola, DJ, Morales-Izquierdo, S, Musliu, A, Naidu, PA, Najmussaqib, A, Natividade, JC, Nebel, S, Nezkusilova, J, Nikolova, I, Ninaus, M, Noreika, V, Ortiz, MV, Ozery, DH, Pankowski, D, Pennato, T, Pírko, M, Pummerer, L, Reyna, C, Romano, E, Sahin, H, Sanli, AM, Sayılan, G, Scarpaci, A, Sechi, C, Shani, M, Shata, A, Sikka, P, Sinha, N, Stöckli, S, Studzinska, A, Sungailaite, E, Szebeni, Z, Tag, B, Taranu, M, Tisocco, F, Tuominen, J, Turk, F, Uddin, MK, Uzelac, E, Vestergren, SK, Vilar, R, Wang, AH-E, West, JN, Wu, CKS, Yaneva, T, Yeh, Y-Y

Publikováno v: CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Yamada, Y, Ćepulić, D-B, Coll-Martín, T, Debove, S, Gautreau, G, Han, H, Rasmussen, J, Tran, T P, Travaglino, G A, Lieberoth, A & COVIDiSTRESS Global Survey Consortium 2021, ' COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak ', Scientific Data, vol. 8, no. 1, 3 . https://doi.org/10.1038/s41597-020-00784-9
Scientific Data
COVIDiSTRESS Global Survey Consortium 2021, ' COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak ', Scientific data, vol. 8, no. 1, 3 . https://doi.org/10.1038/s41597-020-00784-9
Scientific data, 8(1):3. Nature Publishing Group
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
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Repositorio Digital Universitario (UNC)
Universidad Nacional de Córdoba
instacron:UNC
Digibug. Repositorio Institucional de la Universidad de Granada
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Scientific Data, Vol 8, Iss 1, Pp 1-23 (2021)

This N=173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science efort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6eb409517eb0dfe0bb418aa77095f79d
https://www.nature.com/articles/s41597-020-00784-9

Liver Angiosarcoma with Poor Prognosis in a 61-Year-Old Woman: A Case Report and Literature Review

Autor: Manh Hung T, Tran TPT

Publikováno v: International Journal of Women's Health, Vol Volume 14, Pp 957-963 (2022)

Tran Manh Hung,1 Thi Phuong Thao Tran2 1Department of Surgery, Bach Mai Hospital, Hanoi, Vietnam; 2Center for Population Health Sciences, Hanoi University of Public Health, Hanoi, VietnamCorrespondence: Tran Manh Hung, Department of Surgery, Bach Mai

Externí odkaz: https://doaj.org/article/655017056e684dd5a6c79489ac6fc099

Investigation of sequential pattern mining techniques for web recommendation

Autor: Nguyen, TTS, Lu, HY, Tran, TP, Lu, J

Increased application of sequence mining in web recommender systems (WRS) requires a better understanding of the performance and a clear identification of the strengths and weaknesses of existing algorithms. Among the commonly used sequence mining me

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::ab3dc596fbbb37df449bc25b204c6fca
https://hdl.handle.net/10453/114913

Adaptive Multiple Experts System for personal identification using facial behaviour biometrics

Autor: Tsai, PC, Tran, TP, Hintz, TB, Jan, T

Physiological and/or behavioural characteristics of humans such as face, gait and/or voice have been used in biometric recognition technology. Apart from these characteristics (which have been reported in the literature), the hypothesis of this resea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::138e0fdee7c3395178c480d44e6dbaca
https://hdl.handle.net/10453/11204

Fragments for composing collaborative systems

Autor: Hawryszkiewycz, IT, Henderson-Sellers, B, Tran, TP

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::e03463d650668956a0d479352d787f08
https://hdl.handle.net/10453/6805