Publications by authors named "J Azua Romeo"

The developments in sensing, actuation, and algorithms, both in terms of Artificial Intelligence (AI) and data treatment, have open up a wide range of possibilities for improving the quality of the production systems in diverse industrial fields. The present paper describes the automatizing process performed in a production line for high-quality bearings. The actuation considered new sensing elements at the machine level and the treatment of the information, fusing the different sources in order to detect quality defects in the grinding process (waviness, burns) and monitoring the state of the tool.

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  • A study in New Zealand explored the link between parental alcohol-related events and child maltreatment, analyzing data from over 58,000 children born in 2000 through their 17th year.
  • The research found that children whose parents had alcohol-related hospitalizations or mental health services were 35.2% more likely to experience maltreatment, with each additional event increasing risk by 12.8%.
  • These findings indicate that harmful alcohol use by parents is a significant factor contributing to child maltreatment, suggesting a need for interventions targeting alcohol issues to protect children.
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Background: The substitution of cannabis for alcohol and other drugs has been conceptualised in a harm reduction framework as where cannabis is used to reduce the negative side-effects, addiction potential, and social stigma of other drugs. There is currently mixed evidence with recent reviews suggesting cannabis co-use patterns may vary by age and ethnicity. Yet few studies have had large enough samples to examine this demographic variation in detail.

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  • The study focuses on improving the detection of periprocedural myocardial infarction (PMI) after coronary artery bypass grafting (CABG) by analyzing the changes in cardiac biomarker CK-MB over time.
  • It involved 635 patients with 1589 CK-MB measurements, where the majority showed no signs of PMI, pinpointing key factors like patient sex and surgical specifics that influence CK-MB levels.
  • A web-based application was developed to model CK-MB kinetics; the model achieved notable diagnostic accuracy, indicating its potential for wider use in monitoring and validating other cardiac biomarkers.
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