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Bruno Aguiar

Researcher at Federal University of Piauí

Publications -  21
Citations -  315

Bruno Aguiar is an academic researcher from Federal University of Piauí. The author has contributed to research in topics: Valosin-containing protein & Population. The author has an hindex of 8, co-authored 19 publications receiving 254 citations. Previous affiliations of Bruno Aguiar include Instituto de Biologia Molecular e Celular & University of Porto.

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Proceedings ArticleDOI

Accelerometer-based fall detection for smartphones

TL;DR: A unobtrusive smartphone based fall detection system that uses a combination of information derived from machine learning classification applied in a state machine algorithm and can reliably detect fall events without disturbing the users with excessive false alarms.
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DDX3 DEAD-box RNA helicase plays a central role in mitochondrial protein quality control in Leishmania

TL;DR: A central role for the Leishmania DDX3 homolog in preventing ROS-mediated damage and in maintaining mitochondrial protein quality control is supported.
Proceedings ArticleDOI

Monitoring physical activity and energy expenditure with smartphones

TL;DR: The proposed solution is a trustworthy smartphone based activity monitor, classifying the activities of daily living throughout the entire day and allowing to assess the associated energy expenditure without causing any change in user's routines.
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A comparative study of the short term cold resistance response in distantly related Drosophila species: the role of regucalcin and frost.

TL;DR: It is shown that, in D. americana (Drosophila subgenus), there is a north-south gradient for a variant at the 5′ non-coding region of regucalcin (a Dca-like gene) but in the F2 association experiment there is no association between this polymorphism and chill-coma recovery times.
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Inferences on specificity recognition at the Malus×domestica gametophytic self-incompatibility system

TL;DR: To classify SFBBs specificity, the amino acids under positive selection obtained when performing intra-haplotypic analyses were used and inferences are made on the S-RNase amino acid properties, at these positions, that are critical features for GSI specificity determination.