Researchers have discovered how unstructured segments of surface proteins regulate the biological function of a cell. Their ...
A research team in Kiel has demonstrated a previously unknown effect in graphene—a single layer of carbon atoms whose ...
Abstract: Neural networks (NNs) are commonly used to approximate functions based on data samples, as they are a universal function approximator for a large class of functions. However, choosing a ...
Abstract: Piecewise-linear in rates (PWLR) Lyapunov functions are introduced for a class of chemical reaction networks (CRNs). In addition to their simple structure, these functions are robust with ...
At its core, the SPARKLINE function in Google Sheets takes a row of numbers and turns them into a mini chart that lives right inside a single cell. Instead of inserting a full-sized chart that eats up ...
Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...
Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts. Export articles to Mendeley Get article recommendations from ACS based on references in your ...
Scales map a dimension of abstract data to a visual representation. Although most often used for encoding data as position, say to map time and temperature to a horizontal and vertical position in a ...