Holon Institute of Technology

The Fragile Coupon Collector: Random Deadlines, Critical Fragility, and Optimal Sampling

We study coupon collection when each type is at risk of disappearing until its first observation, after which it becomes permanently safe. Sampling follows a fixed independent and identically distributed law. For uniform sampling and common fragility, the success probability is t...

A Novel Framework for Smart Service Failure and Recovery

Abstract While conventional approaches to Service Failure and Recovery (SFR) predominantly rely on basic surveys and scenario-based experiments, recent advancements in failure recovery found in related fields like Industry 4.0, AI-enabled decision support and digital service syst...

Suspended thin-film lithium niobate modulator for broadband mid-infrared light modulation and frequency comb generation

Abstract The mid-infrared (MIR) spectral regime is central to applications including remote sensing, precision spectroscopy, higher harmonic generation, and free-space optical communication. However, coherent and broadband MIR modulation remains challenging owing to high optical...

LLM-guided headline rewriting for clickability enhancement without clickbait

Optimizing news headlines for reader engagement is often conflated with clickbait, producing exaggerated or misleading phrasing that erodes editorial trust. We reframe clickbait not as a separate category but as the disproportionate amplification of otherwise legitimate engagemen...

The Cybernetic Turn: Generative AI as a Dynamical System of Meaning

Generative artificial intelligence is usually explained in the vocabulary of computer science: architectures, parameters, objectives, scale. That vocabulary describes the machine accurately but leaves its most consequential property unexplained: why a system directed by short, lo...

The Cybernetic Turn: Generative AI as a Dynamical System of Meaning

Generative artificial intelligence is usually explained in the vocabulary of computer science: architectures, parameters, objectives, scale. That vocabulary describes the machine accurately but leaves its most consequential property unexplained: why a system directed by short, lo...

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...