Zobrazeno 1 - 10
of 1 231
pro vyhledávání: '"Landeros P"'
This paper delves into the connection between flat and curvilinear magnetization dynamics. For this, we numerically study the evolution of the magnon spectrum of rectangular waveguides upon rolling its cross-section up to a full tube. Magnon spectra
Externí odkaz:
http://arxiv.org/abs/2408.04416
Autor:
Landeros, Jaime A., Kirk, Michael S., Arge, C. Nick, Boucheron, Laura E., Zhang, Jie, Uritsky, Vadim M., Grajeda, Jeremy A., Dupertuis, Matthew
Coronal Holes (CHs) are large-scale, low-density regions in the solar atmosphere which may expel high-speed solar wind streams that incite hazardous, geomagnetic storms. Coronal and solar wind models can predict these high-speed streams and the perfo
Externí odkaz:
http://arxiv.org/abs/2405.04731
Autor:
Landeros, Miguel, O'Neill, Christopher, Pelayo, Roberto, Peña, Karina, Ren, James, Wissman, Brian
The Huneke-Wiegand conjecture is a decades-long open question in commutative algebra. Garc\'ia-S\'anchez and Leamer showed that a special case of this conjecture concerning numerical semigroup rings $\Bbbk[\Gamma]$ can be answered in the affirmative
Externí odkaz:
http://arxiv.org/abs/2404.12519
Autor:
Carolina González Ramírez, Damaris Landeros Tiznado, Ana María Riveros Soto, Valentina Calderón Villarroel
Publikováno v:
Literatura y Lingüística, Iss 50, Pp 247-275 (2024)
Este estudio tiene como objetivo caracterizar las percepciones sobre el proceso de formación de futuros profesores de Lengua y Literatura que poseen los académicos que imparten asignaturas de literatura y didáctica en carreras de pedagogía en len
Externí odkaz:
https://doaj.org/article/2aeddfc92eda474baa523650545d233b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Cyclic fluorescence microscopy enables multiple targets to be detected simultaneously. This, in turn, has deepened our understanding of tissue composition, cell-to-cell interactions, and cell signaling. Unfortunately, analysis of these datas
Externí odkaz:
https://doaj.org/article/e187e31a2631401f8900ec73ccddc7bf
We revisit vertex discriminant analysis (VDA) from the perspective of proximal distance algorithms. By specifying sparsity sets as constraints that directly control the number of active features, VDA is able to fit multiclass classifiers with no more
Externí odkaz:
http://arxiv.org/abs/2203.11168
Autor:
Victor Manuel Moreno-Landeros, Arnulfo Luévanos-Rojas, Griselda Santiago-Hurtado, Luis Daimir López-León, Francisco Javier Olguin-Coca, Abraham Leonel López-León, Aldo Emelio Landa-Gómez
Publikováno v:
Buildings, Vol 14, Iss 11, p 3688 (2024)
This paper shows the optimal cost design for T-shaped combined footings of reinforced concrete (RC), which are subjected to biaxial bending in each column to determine the steel areas and the thickness of the footings assuming a linear distribution o
Externí odkaz:
https://doaj.org/article/cdf19cb828424a8695ff11097568cc1b
Autor:
José A. Fabián-Anguiano, Lorena G. Cuéllar-Herrera, José A. Romero-Serrano, Issis C. Romero-Ibarra, Antonieta García-Murillo, Felipe Carrillo-Romo, José Ortiz-Landeros
Publikováno v:
Membranes, Vol 14, Iss 11, p 238 (2024)
Recently, ceramic–carbonate membrane reactors have been proposed to selectively separate CO2 at elevated temperatures and to valorize this pollutant gas by coupling a catalyzed reaction. This work explores using a membrane reactor to perform the ox
Externí odkaz:
https://doaj.org/article/c0bd5223125b48e9a3b94528ec4bb25a
Autor:
José A. Raya-Colín, José A. Romero-Serrano, Cristian Carrera-Figueiras, José A. Fabián-Anguiano, Heberto Balmori-Ramírez, Oscar Ovalle-Encinia, José Ortiz-Landeros
Publikováno v:
ChemEngineering, Vol 8, Iss 5, p 106 (2024)
This study proposes a new dense membrane for selectively separating CO2 and O2 at high temperatures and simultaneously producing syngas. The membrane consists of a cermet-type material infiltrated with a ternary carbonate phase. Initially, the co-dop
Externí odkaz:
https://doaj.org/article/833079f47400490f8d7f565ecb115caa
Autor:
Landeros, Alfonso, Lange, Kenneth
Many problems in classification involve huge numbers of irrelevant features. Model selection reveals the crucial features, reduces the dimensionality of feature space, and improves model interpretation. In the support vector machine literature, model
Externí odkaz:
http://arxiv.org/abs/2110.07691