Results 61 to 70 of about 3,902,333 (190)
Genotypic and phenotypic parameters associated with early maturity in soybean
Pesquisa Agropecuária Brasileira, 2022 The objective of this work was to estimate genotypic and phenotypic parameters associated with early maturity, and to select soybean (Glycine max) progenies that are high yielding and early maturing. F3:4 and F3:5 progenies were evaluated during the 2016/
Eric Vinicius Vieira Silva +3 more
doaj +1 more source
Mixed Inflaton and Spectator Field Models after Planck
, 2013 We investigate the possibility that the primordial perturbation has two sources: the inflaton and a spectator field, which is not dynamically important during inflation but which after inflation can contribute to the curvature perturbation.
Enqvist, Kari, Takahashi, Tomo
core +1 more source
Mixed Deep Gaussian Mixture Model: a clustering model for mixed datasets
Advances in Data Analysis and Classification, 2021 Clustering mixed data presents numerous challenges inherent to the very heterogeneous nature of the variables. A clustering algorithm should be able, despite of this heterogeneity, to extract discriminant pieces of information from the variables in order to design groups. In this work we introduce a multilayer architecture model-based clustering method
Fuchs, Robin +2 more
openaire +5 more sources
Frontiers in Human Neuroscience, 2020 Background: Transcranial direct current stimulation (tDCS) has been shown to be an inexpensive, safe, and effective way of augmenting a variety of cognitive abilities.
Ryan McKendrick +6 more
doaj +1 more source
Chiral mixed phase in disordered 3d Heisenberg models
, 2004 Using Monte Carlo simulations, we compute the spin stiffness of a site-random 3d Heisenberg model with competing ferromagnetic and antiferromagnetic interactions.
B. W. Southern +3 more
core +1 more source
A Note on the Identifiability of Generalized Linear Mixed Models [PDF]
, 2014 I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable.
Labouriau, Rodrigo
core
Mixed-Membership Stochastic Block-Models for Transactional Networks
, 2010 Transactional network data can be thought of as a list of one-to-many communications(e.g., email) between nodes in a social network. Most social network models convert this type of data into binary relations between pairs of nodes.
Chipman, Hugh, Shafiei, Mahdi
core +1 more source
Unraveling the genetic potential of Indian rice germplasm for reproductive stage drought tolerance
Frontiers in Plant ScienceClimate change poses a serious threat to future food security on a global scale. Drought is the most challenging abiotic stress, limiting rice production in rainfed rice ecosystems. Therefore, an experiment was designed under three distinct environments,
Santhiya Subramanian +9 more
doaj +1 more source
Linear Mixed Models with Marginally Symmetric Nonparametric Random Effects
, 2016 Linear mixed models (LMMs) are used as an important tool in the data analysis of repeated measures and longitudinal studies. The most common form of LMMs utilize a normal distribution to model the random effects.
McLachlan, Geoffrey J., Nguyen, Hien D.
core +1 more source
Revista Brasileira de Zootecnia, 2007 Quatro diferentes tipos de população foram simulados com o objetivo de verificar a influência de genes de efeito principal e do tamanho da população na estimação de componentes de variância sob seleção.
Giselle Mariano Lessa de Assis +4 more
doaj +1 more source