Publications by authors named "Felipe Galvao"

The remarkable properties of carbon-based nanomaterials (CNMs) have stimulated a significant increase in studies on different 0D, 1D and 2D nanostructures, which have promising applications in various fields of science and technology. However, the use of graphite as a raw material, which is essential for their production, limits the scalability of these nanostructures. In this context, petroleum coke (PC), a by-product of the coking process in petrochemical industry with a high carbon content (>80 wt%), is emerging as an attractive and low-cost option for the synthesis of carbonaceous nanostructures.

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Article Synopsis
  • Bovine laminitis is a significant health issue in dairy and beef farms, leading to welfare and economic challenges, but its underlying metabolic and inflammatory causes are not well understood, complicating diagnostic efforts.
  • This study develops a non-invasive veterinary cerumenomic assay using earwax metabolites to effectively identify bovine laminitis through advanced gas chromatography and mass spectrometry techniques.
  • The findings highlight specific volatile metabolites, such as p-cresol and formamide, as potential biomarkers for diagnosing bovine laminitis, showcasing promising diagnostic accuracy and paving the way for earlier detection in affected cattle.
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Purpose: Cerebral sinovenous thrombosis is an increasingly recognized cause of stroke in children and neonates. Its true incidence appears to be underestimated. Despite being a rare event, certain studies have found a correlation between subdural hemorrhage and cerebral sinus thrombosis.

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Agarose has numerous applications in biochemistry and medical textiles. This study aimed to produce agarose-graphene oxide-glycerol fibers and analyze their properties. The agarose gel was prepared by dissolving the polymer in 9:1 (v/v) dimethyl sulfoxide (DMSO): HO, followed by spinning in an ethanol bath (1:1 (v/v) ethanol: HO) at 20 °C.

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Superpixel segmentation has emerged as an important research problem in the areas of image processing and computer vision. In this paper, we propose a framework, namely Iterative Spanning Forest (ISF), in which improved sets of connected superpixels (supervoxels in 3D) can be generated by a sequence of image foresting transforms. In this framework, one can choose the most suitable combination of ISF components for a given application-i.

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