Numerous studies have shown that microRNAs are associated with the occurrence and development of human diseases. Thus, studying disease-associated miRNAs is significantly valuable to the prevention, ...

While traditional demand forecasting methods are geared towards continuous and stable demand patterns, intermittent demand characterized by irregular or sporadic purchase events presents a unique set ...

Pastas is an open source python package for processing, simulating and analyzing groundwater time series. The object oriented structure allows for the quick implementation of new model components.