Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models.

Background: Manual microscopic examination of Leishman/Giemsa stained thin and thick blood smear is still the "gold standard" for malaria diagnosis. One of the drawbacks of this method is that its accuracy, consistency, and diagnosis speed depend on microscopists' diagnostic and technical skills. It is difficult to get highly skilled microscopists in remote areas of developing countries.

Estimation of genetic parameters of the productive and reproductive traits in Ethiopian Holstein using multi-trait models.

Objective: This study estimated the genetic parameters for productive and reproductive traits.

Methods: The data included production and reproduction records of animals that have calved between 1979 and 2013. The genetic parameters were estimated using multivariate mixed models (DMU) package, fitting univariate and multivariate mixed models with average information restricted maximum likelihood algorithm.