Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model.

The predictive maintenance of electrical machines is a critical issue for companies, as it can greatly reduce maintenance costs, increase efficiency, and minimize downtime. In this paper, the issue of predicting electrical machine failures by predicting possible anomalies in the data is addressed through time series analysis. The time series data are from a sensor attached to an electrical machine (motor) measuring vibration variations in three axes: X (axial), Y (radial), and Z (radial X).

Design parameters for Airy beams in light-sheet microscopy.

We derive analytical expressions for the length, thickness, and curvature of an Airy light sheet in terms of basic parameters of the cubic phase and the paraxially defined focusing optics that form the beam. The length and thickness are defined analogously to the Rayleigh range and beam waist of a Gaussian beam, hence providing a direct and quantitative comparison between the two beam types. The analytical results are confirmed via numerical Fresnel propagation simulations and discussed within the context of light-sheet microscopy, providing a comprehensive guide for the design of the illumination unit.

MRI in acute simple elbow dislocations: correlation of preoperative imaging and intraoperative findings of collateral ligaments and associated soft tissue injuries.

Purpose: The aim of our study was the evaluation of correspondence among collateral ligaments and other soft tissue injuries detected by MRI and by intraoperative findings in a consecutive series of patients treated for simple elbow dislocation.

Methods: After clinical and MRI examination, 16 out of 59 consecutive patients with moderate or severe instability after simple elbow dislocation were addressed to surgical treatment. There were 14 men and 2 women.

How Reliable Are Volumetric Techniques for High-Grade Gliomas? A Comparison Study of Different Available Tools.

Background: Gliomas are the most common malignant primary brain tumors. Assessment of the tumor volume represents a crucial point in preoperative and postoperative evaluation.

Objective: To compare pre- and postoperative tumor volumes obtained with an automated, semi-automatic, and manual segmentation tool.

Community Violence Exposure, Sleep Disruption, and Insulin Resistance in Low-Income Urban Adolescents.

Background: Exposure to violence, which is experienced at disproportionally higher levels by black versus white youth, is associated with disruptions in sleep and elevated cardiovascular risk. Further, poor sleep hygiene is associated with insulin resistance. However, research to date examining disruptions in sleep and cardiovascular risk in African-American adolescents has not taken the impact of exposure to violence into account, nor considered how gender might affect patterns of association.