Zobrazeno 1 - 10
of 1 742
pro vyhledávání: '"M, Saavedra"'
Autor:
Brenda Pijper, Lucía M. Saavedra, Matteo Lanzi, Maialen Alonso, Alberto Fontana, Marta Serrano, José Enrique Gómez, Arjan W. Kleij, Jesús Alcázar, Santiago Cañellas
Publikováno v:
JACS Au, Vol 4, Iss 7, Pp 2585-2595 (2024)
Externí odkaz:
https://doaj.org/article/808d1607a18741af8d50aaebe9ebcdb8
Autor:
David Cirauqui, Miguel Ángel García-March, Guillem Guigó Corominas, Tobias Graß, Przemysław R. Grzybowski, Gorka Muñoz-Gil, J. R. M. Saavedra, Maciej Lewenstein
Publikováno v:
APL Quantum, Vol 1, Iss 3, Pp 036125-036125-14 (2024)
We study how the Monte Carlo simulations of the critical dynamics of two-dimensional Ising lattices are affected by the quality (as compared to true randomness) of the pseudo-randomness used in them by computing an observable known to be sensitive to
Externí odkaz:
https://doaj.org/article/723d16c51f3441e9a7ba75825508355a
Autor:
Laura Vanessa Parra-Mesa, Carlos A. Parra-Vargas, Indry M. Saavedra-Gaona, David A. Landínez-Téllez, Jairo Roa-Rojas
Publikováno v:
Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales (2024)
chemical attributes. The specific domain within technology referred to as spintronics, encompasses the realm of spin transport electronics. Spintronics delves into the electron spin, its inherent magnetic moment and fundamental charge, and the manipu
Externí odkaz:
https://doaj.org/article/aa19d975cbe141ffa3707f8409107006
Autor:
Pavez, Lukas, Rondo, Jose M. Saavedra
During the last years, we have seen significant advances in the object detection task, mainly due to the outperforming results of convolutional neural networks. In this vein, anchor-based models have achieved the best results. However, these models r
Externí odkaz:
http://arxiv.org/abs/2203.15638
Autor:
Tito Arevalo-Ramirez, Anali Alfaro, Jose M. Saavedra, Matias Recabarren, Mauricio Ponce-Donoso, Jose Delpiano
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12112-12122 (2024)
Deep learning has gained popularity in recent years for reconstructing hyperspectral and multispectral images, offering cost-effective solutions and promising results. Research on hyperspectral image reconstruction feeds deep learning models with ima
Externí odkaz:
https://doaj.org/article/c3a65f46c9e8414aa60237fc9caddc56
Publikováno v:
Frontiers in Sports and Active Living, Vol 6 (2024)
BackgroundHigh body mass index (BMI) is a major risk factor of gastroesophageal reflux disease (GERD), a prevalent morbidity of older adulthood linked to lower quality of life and an increased risk of esophageal cancers. Daily stepping behavior, the
Externí odkaz:
https://doaj.org/article/8898bd202f5e444ca68cfab0359bafb5
Autor:
Gina Noriega-Narváez, Isabela Figueroa, Lina M Saavedra-Díaz, Paula Satizabal, Yulibeth Velásquez-Mendoza
Publikováno v:
Journal of Political Ecology, Vol 31, Iss 1 (2024)
Seas and inland waters have historically been spaces where social struggles have been overlooked and made invisible. This article offers an interdisciplinary analysis of the Colombian Constitutional Court decisions related to human rights violations
Externí odkaz:
https://doaj.org/article/5ebaf34431464899b04f899f782a718c
Akademický článek
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Autor:
Cristian A. Espinosa-Rodríguez, Alfonso Lugo-Vázquez, Luz J. Montes-Campos, Ivan M. Saavedra-Martínez, Ma. del Rosario Sánchez-Rodríguez, Laura Peralta-Soriano, Ligia Rivera-De la Parra
Publikováno v:
Plants, Vol 13, Iss 11, p 1504 (2024)
Macrophytes and cladocerans represent the main antagonistic groups that regulate phytoplankton biomass; however, the mechanism behind this interaction is unclear. In laboratory conditions, we separately evaluated the effects of three submerged macrop
Externí odkaz:
https://doaj.org/article/a9acdce9d76e4b6a8ccf17dbcba4580d
Autor:
Branka Stanic, Seth Hawks, Nataliia Shults, Hong Ji, Aline M.A. de Souza, Xie Wu, Juan M. Saavedra, Kathryn Sandberg, Nisha Duggal
Publikováno v:
Journal of Clinical and Translational Science, Vol 8, Pp 162-162 (2024)
OBJECTIVES/GOALS: Hypertension is a major risk factor for coronavirus disease 2019 (COVID-19) severity. Our goal was to determine if hypertension worsens lung pathology induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection
Externí odkaz:
https://doaj.org/article/f54de7771e8d4e32814e88a9f4fcb6ec