Abstract Culicoides biting midges (Diptera: Ceratopogonidae) are the major vectors of bluetongue, Schmallenberg, and African horse sickness viruses.This study was conducted to survey Culicoides species in different parts of Ethiopia and to develop habitat suitability for the major Culicoides species in Ethiopia.Culicoides traps were set in differen
Congenital atresia of the ostium of the left coronary artery. Diagnostic difficulty and successful surgical revascularization in two patients
We report two cases of congenital atresia of the ostium of the left coronary artery.Case 1: a six-month-old infant presenting with serious cardiac insufficiency.A noninvasive diagnosis of dilated myocardiopathy was established and the clinical picture was pharmacologically compensated.When the patient was nine months of age, a hemodynamic study was
Higher Nitrogen Uptakes Contribute to Growth Advantage of Invasive Solanum rostratum over Two Co-Occurring Natives Under Different Soil Nitrogen Forms and Concentrations
High nitrogen (N) uptake is one of the main reasons for invasive alien plant invasions.However, little effort has been made to compare the effects of different N forms on N uptake between invasive and native plants, especially those on N form acquisition strategies (preference and plasticity), which influence N uptake, and thus exotic plant invasio
An Accurate Edge Extension Formula for Calculating Resonant Frequency of Electrically Thin and Thick Rectangular Patch Antennas With and Without Air Gaps
A new and accurate edge extension formula based on the Taguchi method is proposed to calculate the resonant frequency of electrically thin and thick rectangular patch antennas with an air gap (RPAAG) and rectangular patch antennas without an air gap.Based on 3205 antennas data random distribution in the electrical substrate thickness SOFT FINISH HA
Accelerating Semi-Supervised Text Classification by K-Way Projecting Networks
The state of the art semi-supervised learning framework has greatly shown its potential in making deep and complex language models such as BERT highly effective for text classification tasks when labeled data is limited.However, the large size and low inference speed of such models may hinder their application on resources-limited or real-time use