The lack of interpretability in artificial intelligence models (i.e., deep learning, machine learning, and rules-based) is an obstacle to their widespread adoption in the healthcare domain. The absence of understandability and transparency frequently leads to (i) inadequate accountability and (ii) ...
STEM education is understood as an interdisciplinary approach to the fields of science, technology, engineering, and mathematics, in which the learning content is linked to practice based on a series of teaching activities which are interactive and active. In the current trend of STEM development, ...
Should our current hypothesis of the importance of changing bidirectionality be experimentally refuted, then it may be that the data is reproducible with the addition of the concept of a phase delay as is discussed in [70,71]. This may also be true with the introduction of oscillatory ...