Zobrazeno 1 - 10
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pro vyhledávání: '"Rocha A"'
Publikováno v:
Journal of Healthcare Leadership, Vol Volume 14, Pp 137-142 (2022)
Emma B Antoine,1 Arelys M Rocha,2 Geraldine McGinty3 1School of Public Policy, Cornell University Graduate School, Ithaca, NY, USA; 2Department of Population Health Sciences, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA; 3Depa
Externí odkaz:
https://doaj.org/article/d21960953dae4d96b6b77ec202563803
Autor:
Silveira Thaís M., Hoerlle Fernanda, Rocha Adriano S., Lima Maira C.O, Ramirez Mateus G., Pontedeiro Elizabeth M., van Genuchten Martinus Th., Cruz Daniel O.A., Couto Paulo
Publikováno v:
Journal of Hydrology and Hydromechanics, Vol 70, Iss 2, Pp 257-268 (2022)
CO2 injection is a well-known Enhanced Oil Recovery (EOR) technique that has been used for years to improve oil extraction from carbonate rock and other oil reservoirs. Optimal functioning of CO2 injection requires a thorough understanding of how thi
Externí odkaz:
https://doaj.org/article/a4987d35c8f2470ab812bc273ac513f2
Autor:
Rocha Ayala, Ángela Daniela
Publikováno v:
Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Académico - UPC.
Evento organizado por la Biblioteca UPC, el día 24 de aabril de 2022. Participan: Angela Daniela Rocha Ayala (Chile) - Ponente / Moderadores: Luis Adrián Bravo Díaz (Perú)
Webinar enfocado en capacitar a la comunidad universitaria en el uso
Webinar enfocado en capacitar a la comunidad universitaria en el uso
Externí odkaz:
http://hdl.handle.net/10757/659725
Autor:
Tyagi, Himanshu, P., Manoj, Narang, Mayank, Megeath, S T., Rocha, Will Robson M., Brunken, Nashanty, Rubinstein, Adam E., Gutermuth, Robert A., Evans, Neal J., van Dishoeck, Ewine, Federman, Sam, Watson, Dan M., Neufeld, David A., Anglada, Guillem, Beuther, Henrik, Garatti, Alessio Caratti o, Looney, Leslie W., Nazari, Pooneh, Osorio, Mayra, Stanke, Thomas, Yang, Yao-Lun, Bourke, Tyler L., Fischer, William J., Furlan, Elise, Green, Joel D., Habel, Nolan, Klaassen, Pamela, Karnath, Nicole, Linz, Hendrik, Muzzerolle, James, Tobin, John J., Atnagulov, Prabhani, Rahatgaonkar, Rohan, Sheehan, Patrick D., Slavicinska, Katerina, Stutz, Amelia M., Tychoniec, Łukasz, Wolk, Scott J.
The composition of protoplanetary disks, and hence the initial conditions of planet formation, may be strongly influenced by the infall and thermal processing of material during the protostellar phase. Composition of dust and ice in protostellar enve
Externí odkaz:
http://arxiv.org/abs/2410.06697
Variable Length Markov Chains with Exogenous Covariates (VLMCX) are stochastic models that use Generalized Linear Models to compute transition probabilities, taking into account both the state history and time-dependent exogenous covariates. The beta
Externí odkaz:
http://arxiv.org/abs/2410.07374
Autor:
Zapartas, E., de Wit, S., Antoniadis, K., Muñoz-Sanchez, G., Souropanis, D., Bonanos, A. Z., Maravelias, G., Kovlakas, K., Kruckow, M. U., Fragos, T., Andrews, J. J., Bavera, S. S., Briel, M., Gossage, S., Kasdagli, E., Rocha, K. A., Sun, M., Srivastava, P. M., Xing, Z.
The rate and mechanism of mass loss of red supergiants (RSGs) remain poorly understood, especially at low metallicities. Motivated by the new empirical prescription by Yang et al. 2023, based on the largest and most complete sample in the Small Magel
Externí odkaz:
http://arxiv.org/abs/2410.07335
Collectible card games are challenging, widely played games that have received increasing attention from the AI research community in recent years. Despite important breakthroughs, the field still poses many unresolved challenges. This work aims to h
Externí odkaz:
http://arxiv.org/abs/2410.06299
This paper presents an approach to managing access to Content Delivery Networks (CDNs), focusing on combating the misuse of tokens through performance analysis and statistical access patterns. In particular, we explore the impact of token sharing on
Externí odkaz:
http://arxiv.org/abs/2410.05642
Forensic analysts often use social media imagery and texts to understand important events. A primary challenge is the initial sifting of irrelevant posts. This work introduces an interactive process for training an event-centric, learning-based multi
Externí odkaz:
http://arxiv.org/abs/2410.05359
Autor:
Yang, Jing, Rocha, Anderson
Computational methods to aid journalists in the task often require adapting a model to specific domains and generating explanations. However, most automated fact-checking methods rely on three-class datasets, which do not accurately reflect real-worl
Externí odkaz:
http://arxiv.org/abs/2410.04002