Articles with "mixed linear" as a keyword



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Analytic study on optical solitons in parity-time-symmetric mixed linear and nonlinear modulation lattices with non-Kerr nonlinearities

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Published in 2018 at "Optik"

DOI: 10.1016/j.ijleo.2018.08.023

Abstract: Abstract This paper studies soliton solutions in parity-time-symmetric mixed linear and nonlinear optical lattices with Kerr and non-Kerr law nonlinearities. Four different kinds of rough mediums namely, parabolic law, power law, dual power law and… read more here.

Keywords: non kerr; parity time; law; time symmetric ... See more keywords
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Optical solitons in parity-time-symmetric mixed linear and nonlinear lattice with non-Kerr law nonlinearity

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Published in 2017 at "Superlattices and Microstructures"

DOI: 10.1016/j.spmi.2017.05.049

Abstract: Abstract This work presents an analytical study of the existence of solitons in non-Kerr law media modulated by the P T -symmetric mixed linear and nonlinear optical complex lattices. Four types of non-Kerr law nonlinearity… read more here.

Keywords: non kerr; linear nonlinear; kerr law; law ... See more keywords
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Methodological implementation of mixed linear models in multi-locus genome-wide association studies

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Published in 2018 at "Briefings in Bioinformatics"

DOI: 10.1093/bib/bbw145

Abstract: &NA; The mixed linear model has been widely used in genome‐wide association studies (GWAS), but its application to multi‐locus GWAS analysis has not been explored and assessed. Here, we implemented a fast multi‐locus random‐SNP‐effect EMMA… read more here.

Keywords: genome wide; model; multi locus; mixed linear ... See more keywords
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Study of Bayesian variable selection method on mixed linear regression models

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Published in 2023 at "PLOS ONE"

DOI: 10.1371/journal.pone.0283100

Abstract: Variable selection has always been an important issue in statistics. When a linear regression model is used to fit data, selecting appropriate explanatory variables that strongly impact the response variables has a significant effect on… read more here.

Keywords: linear regression; mixed linear; variable selection; method ... See more keywords