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Owing to the global increase in carbapenem and colistin resistance, several methods have been actively used for the detection of these antibiotic-resistant bacteria. However, this emerging field still ...
The rapid acquisition of internal flow field data in fluidized beds is essential for applications in monitoring, prediction, risk warning, prevention, and diagnostics. This study proposes an effective ...
Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...
In this paper, a cost-free Artificial Intelligence-based application for smartphones built to detect vitamin deficiencies in humans using pictures of specific body organs is introduced. Recent vitamin ...
Abstract In this study, we propose a novel method to determine the vitamin C content in fruits and vegetables. The proposed method exploits the image and data processing abilities of computers by ...
Vitamin A deficiency is the world's leading cause of blindness, and in severe cases, it can be fatal. About one-third of the global population of preschool-aged children suffer from this vitamin ...
Second, access to only summarized data limits the range of analyses that can be performed, such as subgroup analyses, non-linear analysis and categorical analysis using different cutpoints for vitamin ...
Finally, we did not assess the predictive value of other nutritional impairments, including vitamin B 6 and homocysteine deficiency, which were previously shown to have a close link with psychiatric ...
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