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 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 Acanthamoeba cas

Spasms after spinal cord injury (SCI) are debilitating involuntary muscle contractions that have been associated with increased motor Me Halloween Top neuron excitability and decreased inhibition.However, whether spasms involve activation of premotor spinal excitatory neuronal circuits is unknown.Here we use mouse genetics, electrophysiology, imagi

This article explores trust in children’s relationships with professionals in the context of safeguarding concerns.With exception, existing research with children about trust in professionals often fails to unpick trust.Using sociological conceptualisations of trust, most often considered in relation to adults, this article unravels this comp

Cryptosporidiosis is a waterborne disease, has as aggravating the difficulty of preventing environmental contamination and lack of effective therapeutic measures.With marked importance to the cattle, causes inflammation and intestinal villous atrophy resulting in loss of absorptive surface.This study aimed to perform molecular characterization of C