Serviço Nacional de Aprendizagem Industrial

Soil-plant-animal properties and microbial reassembly distinguish cattle oral disease prevalence across converted Amazon pasture systems

Forest-to-pasture conversion can alter soil properties, forage composition, and microbial communities, but whether these changes are associated with bovine periodontitis remains unclear. We compared eight pasture systems in the Western Brazilian Amazon classified by high or low h...

Physics-Informed Machine Learning for Fatigue and Fracture Analysis and Prediction: A Scoping Review

Physics-Informed Machine Learning has emerged as a powerful paradigm for fatigue and fracture analysis, combining the data-driven flexibility of neural networks with the consistency of physical laws. This scoping review maps the extent, range, and nature of research on PIML appli...

Machine Learning in Traumatic Brain Injury: Dynamic Prediction from Continuous Physiological Monitoring and ICU Data

BACKGROUND: Continuous physiological monitoring in neurocritical care generates large volumes of high-frequency time-series data that remain underutilized in routine traumatic brain injury (TBI) management. Machine learning (ML) approaches applied to these data have emerged as a...

The Role of Wave‐Induced Stress and Drag Coefficients in Offshore Wind Power Production

Abstract This study investigates wind‐wave interactions on offshore wind energy production by comparing a coupled atmosphere‐wave model (WRF‐SWAN) with a stand‐alone atmospheric model (WRF). Using statistical metrics and LiDAR wind measurements from Porto‐Ilha, Brazil, we evaluat...

Gaussian process regression for optimizing L-DED processing parameters in AlSi10Mg additive manufacturing

Abstract This work presents an experimental workflow coupled with statistical tools to optimize L-DED processing parameters to build defect-free AlSi10Mg multilayer parts. Experimental steps included the quantitative evaluation of single beads, single layers, and multilayers to d...