Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Valuable relevance"'
Autor:
Ficco, Cecilia R.
La disminución de la relevancia de la información contable para la valoración de las empresas en los mercados de capitales, pone de manifiesto las limitaciones de los sistemas contables en vigor y revela la existencia de otras fuentes de informaci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______274::004651b3b977646fbad783b6f1cf1937
http://www.saber.ula.ve/handle/123456789/44233
http://www.saber.ula.ve/handle/123456789/44233
Autor:
FATIMA, M. M.1 calmcharming@gmail.com, AL-YASARI, M. N. H.1 mahmood.n@uokerbala.edu.iq
Publikováno v:
SABRAO Journal of Breeding & Genetics. Aug2024, Vol. 56 Issue 4, p1738-1748. 11p.
Autor:
Angeli, Maria, Hassandra, Mary, Krommidas, Charalampos, Goudas, Marios, Hatzigeorgiadis, Antonis, Theodorakis, Yannis
Publikováno v:
Alcoholism Treatment Quarterly; 2024, Vol. 42 Issue 4, p451-469, 19p
Autor:
Abuzaid, Ahmad Nasser, Alateeq, Manal Mohammad, Madadha, Saif-aldeen Marwan, Al Sharari, Fayiz Emad Addin, Alsbou, Mohammad Khalaf
Publikováno v:
Sustainability (2071-1050); Aug2024, Vol. 16 Issue 15, p6276, 23p
Publikováno v:
ACM Transactions on Information Systems; Jul2024, Vol. 42 Issue 4, p1-37, 37p
Autor:
Zhang, Chenyue1,2 (AUTHOR), Shang, Xiaoling3 (AUTHOR), Wang, Haiyong4 (AUTHOR) wanghaiyong6688@126.com
Publikováno v:
Metabolomics. Jan2023, Vol. 19 Issue 1, p1-10. 10p.
Autor:
Li Meijin1, Fang Zhiyang2 fangzhiyang@scu.edu.cn, Wang Junfeng3, Cheng Luyu4, Zeng Qi3, Yang Tao3, Wu Yinwei1, Geng Jiaxuan3
Publikováno v:
Applied Artificial Intelligence. 2022, Vol. 36 Issue 1, p1-32. 33p.
Autor:
Bytyçi, Ibadete1,2 (AUTHOR), Alves, Liliana3 (AUTHOR), Alves, Oscar3 (AUTHOR), Lopes, Carla3 (AUTHOR), Bajraktari, Gani1,2 (AUTHOR), Henein, Michael Y.2 (AUTHOR) michael.henein@umu.se
Publikováno v:
Journal of Clinical Medicine. Oct2022, Vol. 11 Issue 20, p6185-N.PAG. 12p.
Publikováno v:
ACM Transactions on Information Systems; Mar2024, Vol. 42 Issue 2, p1-33, 33p
We present Mr. TyDi, a multi-lingual benchmark dataset for mono-lingual retrieval in eleven typologically diverse languages, designed to evaluate ranking with learned dense representations. The goal of this resource is to spur research in dense retri
Externí odkaz:
http://arxiv.org/abs/2108.08787