Calibrant-free RTI prediction addresses retention-time nontransferability across chromatographic conditions, enabling method-independent confidence refinement beyond spectral similarity alone. Dual RF ...

Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, "Probability is the most important concept in modern science, especially as nobody has the ...

Sampling from Gibbs distri-butions under continuous, often nonconvex, potentials is a fundamental challenge, which hinders classical methods such as the Langevin dynamics. Existing quantum approaches ...

Assessment of incident power density (IPD) for radiating antennas using conventional equal-angle spherical sampling leads to redundant measurement points and reduced efficiency. This study introduces ...

Abstract: This article focuses on the probability-constrained distributed non-fragile (PDNF) estimation problem for nonlinear time-varying systems with unknown but bounded noises, sensor saturation ...

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels, and even comments scraped from the internet can offer valuable ...

ABSTRACT: The study explored the implication of an upgraded taxpayer portal on tax compliance among business entrepreneurs in Tanzania. A technological acceptance model (TAM) was used to guide the ...