Dimensionality reduction techniques are essential in analyzing large 'omics' datasets in biochemistry and molecular biology. Principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection are commonly used for data visualization. However, these methods can be challenging for students…

Due the wideness of the term Physical Computing, there is a need for a better structure of this topic. This paper is about an approach of structuring this field by finding attributes of different physical computing devices which can be used in class. Those attributes are meant to enforce teachers as well as researchers to analyze different devices…

The world all around us is rapidly developing. We are witnessing the rapid evolution of technology and communication. This means new challenges and responsibilities to future strategies and attitudes. Today's operating systems and development environments apply the principle of OOP; therefore today's developments are inconceivable without the…