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Identification of acoustic fields in aqueous biomass solutions of banana waste pretreated by power ultrasound
(Springer, 2018-03-01)
High-intensity ultrasound is a technology used to improve the performance of processes in the chemical, pharmaceutical, biomass pretreatment, and food industries. However, few studies were described in the literature to ...
Relationship Between Muscle Strength, Body Composition and Bone Mineral Density in Adolescents
(2022-01-01)
Adolescence is an important period for the acquisition of bone mass, which can be enhanced by several factors. This study aimed examine the relationships of handgrip strength, free-fat mass, and fat mass with bone mineral ...
The population ecology of male gametophytes: The link between pollination and seed production
(Wiley Blackwell Publishing, Inc, 2016-05)
The fate of male gametophytes after pollen reaches stigmas links pollination to ovule fertilisation, governing subsequent siring success and seed production. Although male gametophyte performance primarily involves cellular ...
Multivariate conditional density estimation with copulas
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2021-09-29)
Most machine learning regression models only yield single point estimations for the label of a new observation. However, when dealing with multi-modal or asymmetric distributions, a single point estimate is not enough to ...
Estimation of body volume and body density in California sea lion pups
(Journal of the Marine Biological Association of the United Kingdom, 2002)
Body volume was measured directly by the water displacement method and using three different geometric models, consisting of a series of cones and truncated cones, in California sea lion (Zalophus californianus) pups from ...
DPpackage: Bayesian Semi- and Nonparametric Modeling in R
(JOURNAL STATISTICAL SOFTWARE, 2011)
Data analysis sometimes requires the relaxation of parametric assumptions in order to gain modeling flexibility and robustness against mis-specification of the probability model. In the Bayesian context, this is accomplished ...