The article discusses a new type of function called quantile cumulative distribution functions, which combine features of both cumulative distribution functions and quantile functions. These functions are useful for comparing probability distributions of different populations and creating new continuous probability distributions. The researchers explore the properties of these functions and highlight their applications in various fields.