This study aimed to investigate eighth-grade students' difficulties and misconceptions and their performance of translation between the different representation modes related to the slope of linear ...

Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...

Department of Systems Biology, Harvard Medical School, Boston, MA, United States The linear framework uses finite, directed graphs with labelled edges to model biomolecular systems. Graph vertices ...

A prolific author of technical articles and books, Christophe P. Basso (ON Semiconductor, Toulouse, France) has written a new book, Linear Circuit Transfer Functions—An Introduction to Fast Analytical ...

Is it possible to use reflection to access function arguments? Ideally I would like to reconstruct a string of jsonnet code that I would use to call the function. My use case is that I have functions ...

Linear and nonlinear functions are the building blocks of algebra. They are essential to the understanding of graphs, equations, and the principles that govern the study of mathematics beyond the ...