Maize is a globally important cereal crop, however, maize leaf disease is one of the most common and devastating diseases that afflict it.Artificial intelligence methods face challenges in identifying and classifying maize leaf diseases due to variations in image quality, similarity among diseases, disease severity, limited dataset availability, an
Abstract Background Psychosocial job stressors, such as low control and high demands, have been found to influence the health and wellbeing of doctors.However, past research in this area has relied on cross-sectional data, which limits causal inferences about the influence of psychosocial job stressors on health.In this study, we examine this relat
The analysis of morphometric features in two pairs of closed species of wool mice (Sylvaemus tauricus and S.sylvaticus) and voles (Terricola subterraneus and Microtus arvalis) is carried out.It is 5318008 shown that the problems of diagnostics of morphologically closed species appear due to the coincidence of signs of the young stages of size-large
Thaw slump susceptibility mapping (TSSM) of Qinghai–Tibet railway corridor (QTRC) is the prerequisite and basis for disaster assessment and prevention of permafrost projects.The objective of this article is to construct ensemble learning models based on single classifier models to generate the TSSM of the QTRC, compare and verify the perform
Lassa virus (LASV) is the most prevalent arenavirus afflicting humans and has high potential to become a threat to global public health.The transmembrane domain (TM) of the LASV glycoprotein complex forms critical interactions with the LASV stable domeless quartz nails signal peptide that are important for the maturation and fusion activity of the