Generation of Individualized Synthetic Data for Augmentation of the Type 1 Diabetes Data Sets Using Deep Learning Models

In this paper, we present a methodology based on generative adversarial network architecture to generate synthetic data sets foerster dermatome map with the intention of augmenting continuous glucose monitor data from individual patients.We use these synthetic data with the aim of improving the overall performance of prediction models based on mach

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Remote Sensing Analysis of Selected Terrestrial Impact Craters and a Suspected Impact Structure in South Korea using Space Shuttle Photographs

Typical morphological d2 fleshripper elements for impact craters were detectedon all analyzed Shuttle photographs.Features with diameters smallerthan 2 km could not be successfully analyzed.The search for suitableShuttle scenes was successfully performed using on-line Internetdatabases.Image enhancement and lineament analysis were also performedon

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Effect of Spirulina platensis Supplementation on Carcass Characteristics, Fatty Acid Profile, and Meat Quality of Omani Goats

In a 70-day study, 36 Jabbali and Sahrawi bucks, aged 11 months, were utilized to evaluate the effects of different levels of spirulina dietary supplement (SP) on carcass characteristics, fatty acid profile, and meat quality traits in Omani goat breeds.The goats were put into six groups of six bucks, each at random.The diet consisted of a conventio

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