Evaluation of deep learning for COVID-19 diagnosis: Impact of image dataset organization.

Introduction: Coronavirus disease 2019 (COVID-19) has spread all over the world showing high transmissibility. Many studies have proposed diverse diagnostic methods based on deep learning using chest X-ray images focusing on performance improvement. In reviewing them, this study noticed that evaluation results might be influenced by dataset organization.

Genetically diverse group C rotaviruses cause sporadic infection in Korean calves.

This study examined the prevalence and genetic diversity of the bovine group C rotaviruses (GCRVs) in a total of 127 diarrhea fecal samples of calves from 52 Korean native beef calf herds using RT-PCR and nested PCR. Overall, seven of the 127 fecal samples (5.5%) from seven of the 52 herds (13.