Results 11 to 20 of about 1,422,540 (296)
Understanding the evolution and stability of the G-matrix. [PDF]
Evolution, 2008 The G-matrix summarizes the inheritance of multiple, phenotypic traits. The stability and evolution of this matrix are important issues because they affect our ability to predict how the phenotypic traits evolve by selection and drift. Despite the centrality of these issues, comparative, experimental, and analytical approaches to understanding the ...
Arnold SJ +4 more
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Nuclear G-Matrix Elements from Nonlocal Potentials [PDF]
International Journal of Modern Physics E, 1998 We study effects of nonlocality in the nuclear force on the G-matrix elements for finite nuclei. Nuclear G-matrix elements for 16O are calculated in the harmonic oscillator basis from a nonlocal potential which models quark exchange effects between two nucleons. We employ a simple form of potential that gives the same phase shifts as a realistic local
Yoshida, K., Hosaka, A., Oka, M.
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The G-matrix Simulator Family: Software for Research and Teaching. [PDF]
J Hered, 2018 Genetic variation plays a fundamental role in all models of evolution. For phenotypes composed of multiple quantitative traits, genetic variation is best quantified as additive genetic variances and covariances, as these values determine the rate and trajectory of evolution.
Jones AG, Bürger R, Arnold SJ.
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Connecting QTLS to the g-matrix of evolutionary quantitative genetics. [PDF]
Evolution, 2009 Evolutionary quantitative genetics has recently advanced in two distinct streams. Many biologists address evolutionary questions by estimating phenotypic selection and genetic (co)variances (G matrices). Simultaneously, an increasing number of studies have applied quantitative trait locus (QTL) mapping methods to dissect variation.
Kelly JK.
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G-Matrix Equation in the Resonating-Group Method [PDF]
, 2000 The G-matrix equation is most straightforwardly formulated in the resonating-group method if the quark-exchange kernel is directly used as the driving term for the infinite sum of all the ladder diagrams. The inherent energy-dependence involved in the exchange term of the normalization kernel plays the essential role to define the off-shell T-matrix ...
Fujiwara, Yoshikazu +3 more
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NEW BOUNDS AND EXTREMAL GRAPHS FOR DISTANCE SIGNLESS LAPLACIAN SPECTRAL RADIUS [PDF]
Journal of Algebraic Systems, 2021 The distance signless Laplacian spectral radius of a connected graph $G$ is the largest eigenvalue of the distance signless Laplacian matrix of $G$, defined as $D^{Q}(G)=Tr(G)+D(G)$, where $D(G)$ is the distance matrix of $G$ and $Tr(G)$ is the diagonal ...
A. Alhevaz, M. Baghipur, S. Paul
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Chromatic number and signless Laplacian spectral radius of graphs [PDF]
Transactions on Combinatorics, 2022 For any simple graph $G$, the signless Laplacian matrix of $G$ is defined as $D(G)+A(G)$, where $D(G)$ and $A(G)$ are the diagonal matrix of vertex degrees and the adjacency matrix of $G$, respectively.
Mohammad Reza Oboudi
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Cells, 2021 Hearing loss (HL) is the most common sensory disorder in the world population. One common cause of HL is the presence of vestibular schwannoma (VS), a benign tumor of the VIII cranial nerve, arising from Schwann cell (SC) transformation.
Alessandra Colciago +9 more
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Spatial and temporal variability of groundwater recharge in a sandstone aquifer in a semiarid region [PDF]
Hydrology and Earth System Sciences, 2019 With the aim to understand the spatial and temporal variability of groundwater recharge, a high-resolution, spatially distributed numerical model (MIKE SHE) representing surface water and groundwater was used to simulate responses to precipitation in a 2.
F. Manna +6 more
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Two n × n G-classes of matrices having finite intersection
Special Matrices, 2022 Let Mn{{\bf{M}}}_{n} be the set of all n×nn\times n real matrices. A nonsingular matrix A∈MnA\in {{\bf{M}}}_{n} is called a G-matrix if there exist nonsingular diagonal matrices D1{D}_{1} and D2{D}_{2} such that A−T=D1AD2{A}^{-T}={D}_{1}A{D}_{2}.
Golshan Setareh +2 more
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