Zobrazeno 1 - 10
of 7 961
pro vyhledávání: '"IF Estevão"'
Publikováno v:
Hematology, Transfusion and Cell Therapy, Vol 46, Iss , Pp S5- (2024)
Objetivos: O ferro participa na formação da hemoglobina, proteína transportadora de oxigênio, e no metabolismo energético. Sua deficiência acomete de 20 a 30% da população e é a principal causa de anemia no mundo. Em crianças provoca atraso
Externí odkaz:
https://doaj.org/article/33d1f39f6dbd40fa98d9e07726a7377c
Italian ryegrass is a grass weed commonly found in winter wheat fields that are competitive with winter wheat for moisture and nutrients. Ryegrass can cause substantial reductions in yield and grain quality if not properly controlled with the use of
Externí odkaz:
http://arxiv.org/abs/2410.22554
Autor:
Zhang, Wenxue, Moeed, Muhammad Shaeer, Bright, Andrew, Serwatka, Tobias, De Oliveira, Estevao, Roy, Pierre-Nicholas
In this work, we propose a Path Integral Monte Carlo (PIMC) approach based on discretized continuous degrees of freedom and rejection-free Gibbs sampling. The ground state properties of a chain of planar rotors with dipole-dipole interactions are use
Externí odkaz:
http://arxiv.org/abs/2410.13633
The Metropolis-Hastings (MH) algorithm is one of the most widely used Markov Chain Monte Carlo schemes for generating samples from Bayesian posterior distributions. The algorithm is asymptotically exact, flexible and easy to implement. However, in th
Externí odkaz:
http://arxiv.org/abs/2407.19602
In this note, we consider the asymmetric nearest neighbor ferromagnetic Ising model on the $(d+s)$-dimensional unit cubic lattice $\Z^{d+s}$, at inverse temperature $\beta=1$ and with coupling constants $J_s>0$ and $J_d>0$ for edges of $\Z^s$ and $\Z
Externí odkaz:
http://arxiv.org/abs/2404.07079
Autor:
Fernández-Rodríguez, Marcos, Silva, Bruno, Queirós, Sandro, Torres, Helena R., Oliveira, Bruno, Morais, Pedro, Buschle, Lukas R., Correia-Pinto, Jorge, Lima, Estevão, Vilaça, João L.
Publikováno v:
Proceedings Volume 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling; 1292827 (2024)
Surgical instrument segmentation in laparoscopy is essential for computer-assisted surgical systems. Despite the Deep Learning progress in recent years, the dynamic setting of laparoscopic surgery still presents challenges for precise segmentation. T
Externí odkaz:
http://arxiv.org/abs/2403.10216
Autor:
Balaguer, Angels, Benara, Vinamra, Cunha, Renato Luiz de Freitas, Filho, Roberto de M. Estevão, Hendry, Todd, Holstein, Daniel, Marsman, Jennifer, Mecklenburg, Nick, Malvar, Sara, Nunes, Leonardo O., Padilha, Rafael, Sharp, Morris, Silva, Bruno, Sharma, Swati, Aski, Vijay, Chandra, Ranveer
There are two common ways in which developers are incorporating proprietary and domain-specific data when building applications of Large Language Models (LLMs): Retrieval-Augmented Generation (RAG) and Fine-Tuning. RAG augments the prompt with the ex
Externí odkaz:
http://arxiv.org/abs/2401.08406
Large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding across various domains, including healthcare and finance. For some tasks, LLMs achieve similar or better performance than trained human beings, t
Externí odkaz:
http://arxiv.org/abs/2310.06225
Autor:
Estêvão, Carlos V.
Publikováno v:
Revista Portuguesa de Filosofia, 2024 Jan 01. 80(1/2), 711-711.
Externí odkaz:
https://www.jstor.org/stable/27328819
Autor:
Park, Jungyeon, Alvarenga, Estêvão, Jeon, Jooyoung, Li, Ran, Petropoulos, Fotios, Kim, Hokyun, Ahn, Kwangwon
In the effort to achieve carbon neutrality through a decentralized electricity market, accurate short-term load forecasting at low aggregation levels has become increasingly crucial for various market participants' strategies. Accurate probabilistic
Externí odkaz:
http://arxiv.org/abs/2305.09474