A GRAPH NEURAL NETWORK-BASED BEARING FAULT DETECTION METHOD

A graph neural network-based bearing fault detection method

Abstract Bearings are very important components in mechanical equipment, and detecting bearing failures helps ensure healthy operation of mechanical equipment and can prevent catastrophic accidents.Most of the well-established detection methods do not take into account the correlation between signals and are difficult to accurately identify those f

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Undernutrition and suboptimal growth during the first year are associated with glycemia but not with insulin resistance in adulthood

Abstract: This study aimed to assess whether weight, length, and conditional growth during the first year are associated with glycemia and insulin resistance among young adults.A non-concurrent longitudinal design was used in the study.This is a population-based cohort study, composed of people aged from 22 to 28 years.We estimated z-scores from bi

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Why do postgraduate students commit plagiarism? An empirical study

Abstract The study investigated postgraduate students’ knowledge of Dining Tables plagiarism, forms of plagiarism they commit, the reasons they commit plagiarism and actions taken against postgraduate students who plagiarise at Mzuzu University in Malawi.The study adopted a mixed methods approach.The quantitative data were collected by distributi

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