Artificial Intelligence has quickly entered in the financial services industry covering a wide range of applications.This work studies a structured statistical approach to classify non-performing unsecured commercial exposures according to their recovery potential, based on a Machine Learning technique known as Radom Forest.The framework adopted is
Microbial biogeography of public restroom surfaces.
We spend the majority of our lives indoors where we are constantly exposed to bacteria residing on surfaces.However, the diversity of these surface-associated communities is largely unknown.We explored the biogeographical patterns exhibited by bacteria across ten surfaces within each of twelve public restrooms.Using high-throughput barcoded pyroseq
Analysis of Stress-Strain State and Contact Pressures on Surfaces of Kaplan Runner Blade Bearing Bronze Bushes
An analysis of the existing and prospective blade seal designs for Kaplan runners was performed.The selected design type provides the maximum ecological safety for Kaplan runners.A 3D model of runner hub sector with the trunnion, inner and outer bushes of blade trunnion was generated taking into account the cyclic symmetry of the runner design base