In this paper, we present a methodology based on generative adversarial network architecture Lateral Files to generate synthetic data sets 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 machine learn

A system designed for making field measurements of wind action on engineering structures is described.The system is composed of sonic anemometers, differential pressure sensors, a barometer, and a thermohygrometer.The focus of this study is to determine the indications of sonic anemometers; to accomplish this goal, wind tunnel tests were performed.

The structure of dung beetle communities inhabiting tropical forests are known to be sensitive to many kinds of environmental changes such as microclimate related to vegetation structure.I examined Scarabaeinae assemblages in two sites of undisturbed high forest and two sites of low forest forming a transitional zone with the open habitat of an ins

In the case of small and medium-sized enterprises (SMEs), it is not easy to find a solution for predictive maintenance or product failure diagnosis because they use fewer infrastructures than large companies and use a low-volume production method.In SME manufacturing facilities, people inspect products directly, what leads to oversights.Defective p

BackgroundD-Serine, an endogenous co-agonist of the N-methyl-D-aspartate (NMDA) receptor, is synthesized from L-serine by serine racemase (SRR).Given the role of D-serine in both neurodevelopment and the pathophysiology of schizophrenia, we examined whether neonatal disruption of D-serine synthesis by SRR inhibition could induce behavioral abnormal