A versatile computational framework realistically simulates fluorescence lifetime data in biological systems, enhancing rigor by quantifying signal variance and identifying limitations, and enabling ...

Abstract Background Open-source automated insulin delivery (AID) systems are used by many patients with type 1 diabetes. Data are needed on the efficacy and safety of an open-source AID system.

Python comes with a collection of built-in data types that make common data-wrangling operations easy. Among them is the list, a simple but versatile collection type.

The interface with the abstract data type is created through an associated operation. What’s more, the data structures that store the representation of an abstract data type are invisible to the ...