Eda Eken,1,2 David S Estores,3 Emily J Cicali,1,2 Kristin K Wiisanen,1,2 Julie A Johnson1,2 1Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA; 2Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, USA; 3Division of Gastroenterology, Hepa
Abstract Background Machine learning (ML) has emerged as the predominant computational paradigm for analyzing large-scale datasets across diverse domains.The assessment of dataset quality stands as a pivotal precursor Hybrid Gel to the successful deployment of ML models.In this study, we introduce DREAMER (Data REAdiness for MachinE learning Resear
Friction stir welding (FSW) has emerged as a solid-state bonding technique widely used due to the efficacy in welding challenging materials and various joint configurations.However, welding of the Vehicle pipes present unique challenges due to the limited contact surface area between the tool and the pipes.In the current study, FSW was employed on
Potato plays important role in nutritional security, poverty alleviation, and income generation in Indonesia.Potato production restricted and inconsistent by lower quality of seedlings application.Solid medium technique for long time has been using for producing pathogen free plants.This procedure has typically costly as labor intensive and longer