Publications by authors named "B G Almeida"

Lateritic soils, particularly abundant in tropical regions, have been successfully used in the construction of unbound layers of flexible pavements in Brazil since the 1970s. Despite their potential, these soils are often discarded or only recommended after stabilization processes, based on traditional parameters such as gradation requirements and Atterberg limits. This study investigates the mechanical characteristics of a lateritic soil from Roraima, focusing on its resilient modulus and permanent deformation properties, assessed through repeated load triaxial tests.

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Laser ablation was used to successfully fabricate multiferroic bilayer thin films, composed of BaTiO (BTO) and CoFeO (CFO), on highly doped (100) Si substrates. This study investigates the influence of BaTiO layer thickness (50-220 nm) on the films' structural, magnetic, and dielectric properties. The dense, polycrystalline films exhibited a tetragonal BaTiO phase and a cubic spinel CoFeO layer.

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The present study investigates VKINE, a bioactive proteolytic fragment of the proteoglycan VCAN, as a novel and significant element in the tumor extracellular matrix (ECM). Although VKINE has been recognized for its immunomodulatory potential in certain tumor types, its impact on ECM degradation and prognostic implications remains poorly understood. : This study aimed to evaluate VCAN proteolysis and its association with ADAMTS enzymes involved in extracellular matrix remodeling in spontaneous canine mammary gland cancer.

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The Centre for Data and Knowledge Integration for Health's (CIDACS) data governance efforts have primarily focused on legal, technical and operational procedures to provide high-quality linked administrative data for investigations on social determinants of health and the impact of social protection policies in low-income and vulnerable populations throughout Brazil. The Centre is moving towards an updated data governance model that incorporates the participation of, and consultation and dialogue with, data stakeholders, including groups covered by our linked data. To this end, this paper presents our procedures and challenges, outlining relevant considerations based on a focused literature review that aims to support the inclusion of societal participation in our revised data governance approach, which should be considered an ongoing process.

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The prediction of molecular phenotypes from DNA sequences remains a longstanding challenge in genomics, often driven by limited annotated data and the inability to transfer learnings between tasks. Here, we present an extensive study of foundation models pre-trained on DNA sequences, named Nucleotide Transformer, ranging from 50 million up to 2.5 billion parameters and integrating information from 3,202 human genomes and 850 genomes from diverse species.

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