Zobrazeno 1 - 10 of 379 pro vyhledávání: '"V Santana"'
1
Akademický článek
A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning
Autor: Luis M.C. Oliveira, Vinícius V. Santana, Alírio E. Rodrigues, Ana M. Ribeiro, Idelfonso B. R. Nogueira
Publikováno v: Heliyon, Vol 9, Iss 10, Pp e20813- (2023)
Knowledge of odor thresholds is very important for the perfume industry. Due to the difficulty associated with measuring odor thresholds, empirical models capable of estimating these values can be an invaluable contribution to the field. This work de
Externí odkaz: https://doaj.org/article/44ae6ff2b5b04a09ad2ed49a27a4406e
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3
Akademický článek
Distinct signatures of codon and codon pair usage in 32 primary tumor types in the novel database CancerCoCoPUTs for cancer-specific codon usage
Autor: Douglas Meyer, Jacob Kames, Haim Bar, Anton A. Komar, Aikaterini Alexaki, Juan Ibla, Ryan C. Hunt, Luis V. Santana-Quintero, Anton Golikov, Michael DiCuccio, Chava Kimchi-Sarfaty
Publikováno v: Genome Medicine, Vol 13, Iss 1, Pp 1-18 (2021)
Abstract Background Gene expression is highly variable across tissues of multi-cellular organisms, influencing the codon usage of the tissue-specific transcriptome. Cancer disrupts the gene expression pattern of healthy tissue resulting in altered co
Externí odkaz: https://doaj.org/article/c7ca96719b204fc496ee0de68b57825b
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4
Akademický článek
Prevalence of depressive symptoms and suicide risk among medical residents
Autor: C. Reyes, V. Santana, G. Arocha, N. Martínez, K. Almonte
Publikováno v: European Psychiatry, Vol 65, Pp S552-S552 (2022)
Introduction Depression and suicide risk are disturbing issues within the medical community. In many countries, physician’s mental health is not a concern, due to the fact that many do not even consider medical staff as potential mental health pati
Externí odkaz: https://doaj.org/article/9621f31beb184b0698c0aacfba97d74e
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5
Akademický článek
A Reinforcement Learning Framework to Discover Natural Flavor Molecules
Autor: Luana P. Queiroz, Carine M. Rebello, Erbet A. Costa, Vinícius V. Santana, Bruno C. L. Rodrigues, Alírio E. Rodrigues, Ana M. Ribeiro, Idelfonso B. R. Nogueira
Publikováno v: Foods, Vol 12, Iss 6, p 1147 (2023)
Flavor is the focal point in the flavor industry, which follows social tendencies and behaviors. The research and development of new flavoring agents and molecules are essential in this field. However, the development of natural flavors plays a criti
Externí odkaz: https://doaj.org/article/eb468c387d0c4dcc875564eabc43028f
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8
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee
Autor: Vinícius V. Santana, Márcio A. F. Martins, José M. Loureiro, Ana M. Ribeiro, Luana P. Queiroz, Carine M. Rebello, Alírio E. Rodrigues, Idelfonso B. R. Nogueira
Publikováno v: 6463–6475
ACS Omega
Model-based optimization of simulated moving bed reactors (SMBRs) requires efficient solvers and significant computational power. Over the past years, surrogate models have been considered for such computationally demanding optimization problems. In
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6793cc37a0635200f4908f765b500b9d
https://doi.org/10.1021/acsomega.2c06737
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9
Akademický článek
A First Approach towards Adsorption-Oriented Physics-Informed Neural Networks: Monoclonal Antibody Adsorption Performance on an Ion-Exchange Column as a Case Study
Autor: Vinicius V. Santana, Marlon S. Gama, Jose M. Loureiro, Alírio E. Rodrigues, Ana M. Ribeiro, Frederico W. Tavares, Amaro G. Barreto, Idelfonso B. R. Nogueira
Publikováno v: ChemEngineering, Vol 6, Iss 2, p 21 (2022)
Adsorption systems are characterized by challenging behavior to simulate any numerical method. A novel field of study emerged within the numerical method in the last two years: the physics-informed neural network (PINNs), the application of artificia
Externí odkaz: https://doaj.org/article/f65733f60fe144649cdda3f410aaf387
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