Large Language Models (LLMs) are typically evaluated for safety under single-shot or low-budget adversarial prompting, which underestimates real-world risk. In practice, attackers can exploit ...

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Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

ABSTRACT: This study uses data from the Panel Study of Income Dynamics (PSID). Two traditional measures of asset poverty (net worth equal to 3 months at the poverty line; 3 months of annual income), ...

Many people were shocked by Donald Trump’s decision last week to fire the nonpartisan Bureau of Labor Statistics commissioner because he didn’t like the July jobs report. But Trump has always ...

Latest figures released by the Office for National Statistics estimate that in the first three months of 2025, there were 923,000 people aged 16-24 neither earning nor learning in the UK. This figure ...

Abstract: This paper investigates the statistical channel state information (S-CSI) estimation for holographic multiple-input-multiple-output (HMIMO) systems. Instead of acquiring S-CSI based on ...

The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, ...

SIOUX FALLS, S.D. (Dakota News Now) - City leaders are revealing just how much Sioux Falls grew in 2024. Mayor Paul TenHaken and Assistant Director of Planning and Development Services Kevin Smith ...

ABSTRACT: The Negative Binomial Multiple Change Point Algorithm is a hybrid change detection and estimation approach that works well for overdispersed and equidispersed count data. This simulation ...