INVITED REVIEW: MAXIMIZING VALUE AND MINIMIZING WASTE IN CLINICAL TRIAL RESEARCH IN DAIRY CATTLE: SELECTING INTERVENTIONS AND OUTCOMES TO BUILD AN EVIDENCE BASE

ABSTRACT: Clinical trials are a valuable study design for evaluating interventions when it is ethical and feasible for investigators to randomly allocate study animals to intervention groups.Researchers may choose to evaluate the comparative efficacy of intervention groups for their effect on outcomes that are relevant to the specific objectives of

Adapting agricultural systems to face persistent environmental hazards is at the center of global concerns.In line with this, understanding and highlighting the structural characteristics of agroforestry systems could strengthen their resilience in terms of disease management.This study was conducted to evaluate the effect of shade on the intensity

BackgroundEbola Virus Disease (EVD) causes high case fatality rates (CFRs) in young children, yet there are limited data focusing on predicting mortality in pediatric patients.Here we present machine learning-derived prognostic models to predict clinical outcomes in children infected with Ebola virus.MethodsUsing retrospective data from the Ebola D

Abstract Background Common Carotid Artery (CCA) is an uncommon site of injury following a blunt trauma, its presentation with spontaneous delayed hyfrodol rupture is even more uncommon and a rugby tackle leading to CCA injury is a rare event.What makes this case unique and very rare is combination of all of the above.Case presentation Mr H.presente

This paper optimizes and simulates the visual effects of garden graphics based on particle swarm and wavelet threshold algorithm, and uses deep belief networks as the main body of the classifier.To make up for the shortcomings of the activation function of the deep belief network, this paper adopts the wavelet basis function as the activation funct