Holon Institute of Technology

Computer Science Beyond the Instrumental Paradox

Computer science confronts a strange moment: the technology unsettling its foundations is its own creation. Generative AI—built from the discipline's theory, algorithms, architectures, and data—now produces the very artifact around which the discipline organized itself: executabl...

Physics-Informed Digital Twins in Computational Engineering: a PRISMA-ScR Review of Physics-Informed Learning, Neural Operators, Uncertainty Quantification, Real-Time Updating, and Deployment Readiness

Abstract Physics-informed digital twins in computational engineering require more than a simulation model or a machine-learning surrogate. They connect a physical asset to a computational representation, learn from data, quantify uncertainty, update under sensor information, and...

An Additional Characterization of the Triple Consisting of Normal, Gamma, and Inverse Gaussian Distributions

Two characterizations of the triple consisting of the normal, gamma, and inverse Gaussian families are already known: one through the saddlepoint method, and another through the coincidence of the bilateral UMPU and generalized likelihood ratio tests. Bar-Lev and Reiser considere...

Modeling public engagement in political discourse on Facebook in times of political crisis: the case of the four-cycle election loop

Purpose This study investigates how public engagement in political discourse on Facebook evolves during periods of continuous political instability. While prior research has examined engagement drivers during routine and election periods, this study focuses on how political commu...