Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful ...

Discovering relatedness outside of a topical issue helps diverse groups to overcome differences and develop action for social ...

Discovering relatedness outside of a topical issue helps diverse groups to overcome differences and develop action for social change. The Kobe ...

Unraveling AI's decision-making in theoretical models In another study, published in the Journal of High Energy Physics, Hobbs and Kriesten unveiled another framework called "XAI4PDF." ...

They also aim to incorporate machine learning to speed up catalyst design and better understand pH-sensitive electrochemical reactions. Journal Reference: Chu, Y., et al. (2025) Data-driven discovery ...

The EAST framework wasn’t born in a design school or the mind of a self-help guru. Instead, the idea for a simple acronym that could guide anyone looking to change people’s behavior grew out ...

Building on findings from an earlier SLAC study, the researchers present additional evidence that the Hubbard model—the most widely used theoretical framework for describing strong electron ...

Kivunja, C. (2018). Distinguishing between Theory, Theoretical Framework, and Conceptual Framework A Systematic Review of Lessons from the Field. International Journal of Higher Education, 7, 44-53.

The dynamic shifts in educational settings have led scholars to explore online social networks (OSNs) as emergent environment for learning communities. Recognized for their effectiveness in fostering ...

Sternberg, R. J., & Karami, S. (2022). An 8P Theoretical Framework for Understanding Creativity and Theories of Creativity. The Journal of Creative Behavior, 56, 55-78.