Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...

This research explores the use of virtual reality (VR) in Computer Science education to enhance the visualization and understanding of algorithm complexity and data structures. The proposed VR system ...

Understanding data structures and algorithms is still super important for making software. They're like the foundation for writing code that's quick and scales well, which helps you build better apps.

Consequently, this paper presents a novel linear-complexity data-efficient image transformer called LCDEiT for training with small-size datasets by using a teacher-student strategy and linear ...