Zobrazeno 1 - 10
of 2 929
pro vyhledávání: '"A. Galéano"'
Publikováno v:
Revista Colombiana de Química, Vol 19, Iss 2, Pp 73-81 (2012)
En este estudio fueron evaluados los niveles de hierro y manganeso presentes en sedimentos de la Bahía de Cartagena, Colombia. La extracción de los metales se hizo empleando una mezcla de HNO3-HCI 90:10 y se determinaron por el método de absorci
Externí odkaz:
https://doaj.org/article/90c3eb84cc7f42febad5bc3be4489844
Autor:
Nowak, Katarzyna, Krause, Martin G. H., Siegert, Thomas, Forbrich, Jan, Yates, Robert M., Ramírez-Galeano, Laura, Charbonnel, Corinne, Gieles, Mark
Self-enrichment is one of the leading explanations for chemical anomalies in globular clusters. In this scenario, various candidate polluter stars have been proposed to eject gas with altered chemical composition during the self-enrichment process. M
Externí odkaz:
http://arxiv.org/abs/2409.16362
Autor:
Rojas-Galeano, Sergio
Publikováno v:
Applied Computer Sciences in Engineering. WEA 2024. Communications in Computer and Information Science, vol 2222. Springer, Cham
This paper investigates the application of pre-trained large language models (LLMs) for spam email classification using zero-shot prompting. We evaluate the performance of both open-source (Flan-T5) and proprietary LLMs (ChatGPT, GPT-4) on the well-k
Externí odkaz:
http://arxiv.org/abs/2405.15936
In this paper, we employ Credit Default Swaps (CDS) to model the joint and conditional distress probabilities of banks in Europe and the U.S. using factor copulas. We propose multi-factor, structured factor, and factor-vine models where the banks in
Externí odkaz:
http://arxiv.org/abs/2401.03443
Bagging is an essential skill that humans perform in their daily activities. However, deformable objects, such as bags, are complex for robots to manipulate. This paper presents an efficient learning-based framework that enables robots to learn baggi
Externí odkaz:
http://arxiv.org/abs/2310.14398
Reinforcement learning (RL) has shown an outstanding capability for solving complex computational problems. However, most RL algorithms lack an explicit method that would allow learning from contextual information. Humans use context to identify patt
Externí odkaz:
http://arxiv.org/abs/2310.09924
Autor:
Voutier, E., Burkert, V., Niccolai, S., Paremuzyan, R., Afanasev, A., Alvarado-Galeano, J. -S., Atoui, M., Barion, L., Battaglieri, M., Bernauer, J., Bianconi, A., Bondi, M., Briscoe, W., Camsonne, A., Capobianco, R., Celentano, A., Chatagnon, P., Chetry, T., Ciullo, G., Cole, P., Contalbrigo, M., Costantini, G., Defurne, M., Deur, A., De Vita, R., Diehl, S., Dupré, R., Elouadrhiri, L., Fernando, I., Filippi, A., Forest, T., Girod, F. -X., Gosta, G., Grames, J., Gueye, P., Habet, S., Hattawy, M., Higinbotham, D., Hobart, A., Hyde, C., Joo, K., Kim, A., Klimenko, V., Kubarovsky, V., Leali, M., Lenisa, P., Marchand, D., Marsicano, L., Mascagna, V., Matamoros, D., McCaughan, M., McKinnon, B., Migliorati, S., Mitra, H. S., Movsisyan, A., Muñoz-Camacho, C., Osipenko, M., Ouillon, M., Pappalardo, L., Pasquini, B., Pasyuk, E., Pilleux, N., Poelker, M., Raue, B., Ripani, M., Santos, R., Schmidt, A., Singh, R., Sokhan, D., Spreafico, M., Stoler, P., Strakovsky, I., Taiuti, M., Venturelli, L., Wang, P. -K., Wei, X., Zhao, Z., Collaboration, the CLAS, Group, the Jefferson Lab Positron Working
The parameterization of the nucleon structure through Generalized Parton Distributions (GPDs) shed a new light on the nucleon internal dynamics. For its direct interpretation, Deeply Virtual Compton Scattering (DVCS) is the golden channel for GPDs in
Externí odkaz:
http://arxiv.org/abs/2309.14041
Autor:
Febrero-Bande, Manuel, Galeano, Pedro, García-Portugués, Eduardo, González-Manteiga, Wenceslao
Publikováno v:
Computational Statistics, 2024
A goodness-of-fit test for the Functional Linear Model with Scalar Response (FLMSR) with responses Missing at Random (MAR) is proposed in this paper. The test statistic relies on a marked empirical process indexed by the projected functional covariat
Externí odkaz:
http://arxiv.org/abs/2304.04712
Autor:
Charbonnel, C., Schaerer, D., Prantzos, N., Ramírez-Galeano, L., Fragos, T., Kuruvandothi, A., Marques-Chaves, R., Gieles, M.
Publikováno v:
A&A 673, L7 (2023)
Unusually high N/O abundance ratios were recently reported for a very compact, intensively star-forming object GN-z11 at $z=10.6$ from JWST/NIRSpec observations. We present an empirical comparison with the C, N, and O abundance ratios in Galactic glo
Externí odkaz:
http://arxiv.org/abs/2303.07955
Publikováno v:
Physical Review E 106, 054401 (2022)
Evolutionary transitions among ecological interactions are widely known, although their detailed dynamics remain absent for most population models. Adaptive dynamics has been used to illustrate how the parameters of population models might shift thro
Externí odkaz:
http://arxiv.org/abs/2209.09971