Richard Abelson1,2, Keith J Lane3, John Rodriguez3, Patrick Johnston3, Endri Angjeli3, George Ousler3, Douglas Montgomery11School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 2Statistics and Data Corporation, Tempe, AZ, 3Ora, Inc, Andover, MA, USAPurpose: The Ocular Protection Index (OPI) 2.0 Sys
Development of a Machine Learning-Based Cysticidal Assay and Identification of an Amebicidal and Cysticidal Marine Microbial Metabolite against Acanthamoeba
ABSTRACT Traditional Grooming and Care cysticidal assays for Acanthamoeba species revolve around treating cysts with compounds and manually observing the culture for evidence of excystation.This method is time-consuming, labor-intensive, and low throughput.We adapted and trained a YOLOv3 machine learning, object detection neural network to recogniz
FEA-Swin: Foreground Enhancement Attention Swin Transformer Network for Accurate UAV-Based Dense Object Detection
UAV-based object detection has recently attracted a lot of attention due to its diverse applications.Most of the existing convolution neural network based object detection models can perform well in common object detection cases.However, due to the fact that objects in UAV images are spatially distributed in a very dense manner, these methods have
The disparity in development across the Volga-Ural region: A fragile semi-periphery
The issue of regional development in relation to the reproduction of human capital is becoming increasingly urgent every year.Therefore, it is necessary to analyze the potential for redistributing human resources within meso- and macro-territorial systems.Using the example of the Volga-Ural macro-region in Russia, the main areas with varying growth
Economic Evaluation of Denosumab for Treatment of Postmenopausal Osteoporosis: A Systematic Review
Background: We aimed to review the systematic economic evaluation of denosumab versus than alternative drugs and oral bisphosphonates of postmenopausal osteoporosis in women and help health system policy makers for prioritizing and optimally allocate limited health resources.Methods: We examined the databases of PubMed, Web of Science, Embase, Scop