DEVELOPMENT OF A MACHINE LEARNING-BASED CYSTICIDAL ASSAY AND IDENTIFICATION OF AN AMEBICIDAL AND CYSTICIDAL MARINE MICROBIAL METABOLITE AGAINST ACANTHAMOEBA

ABSTRACT Traditional cysticidal assays for Acanthamoeba species revolve around Desk 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 recognize Acanthamoeb

Introduction: The WHO has developed medication use indicators, including prescription indicators with an aim to evaluate the services SACRED BLEND provided to the population in regard to medications.With the help of these indicators, there will be constant watch on drug prescribing pattern in health care to avoid irrational prescribing.Objectives:

IntroductionAccumulating evidence has shown that acupuncture could significantly improve the sleep quality and cognitive function of individuals suffering from insufficient sleep.Numerous animal studies have confirmed the effects and mechanisms of acupuncture on acute sleep deprivation (SD).However, the role of acupuncture on individuals after acut

Abstract The extremal functional method determines approximate solutions to the constraints of crossing symmetry, which saturate bounds on the space of unitary CFTs.We show that such solutions are characterized by extremality conditions, which may be used to flow continuously along the boundaries of parameter space.Along the flow there is generical