In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

The United States is producing nurse practitioner graduates faster than the clinical training infrastructure can absorb them. NP programs have seen enrollment climb for three consecutive years, yet ...

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...

State lawmakers in Maine haggle over comprehensive privacy bill changes while Oregon is close to securing AI chatbot safety requirements. The Maine Legislature has advanced a comprehensive privacy ...

A theory of self-organization in the central nervous system is described, proposing that additive and dissipative synaptodendritic summation leads to synchronous oscillation as the equilibrium state, ...

Johns Hopkins applied mathematicians and astronomers have developed a new method to render images from ground-based telescopes as clear as those taken from space, a process that stands to expand the ...

mlrose is a Python package for applying some of the most common randomized optimization and search algorithms to a range of different optimization problems, over both discrete- and continuous-valued ...

Data minimization requirements are not new but they are becoming more common, and enforcement is on the rise. "Legal basis" requirements for data processing, justifying data processing activities and ...

Abstract: In this paper, we introduce a proximal-proximal majorization-minimization (PPMM) algorithm for nonconvex rank regression problems. The basic idea of the algorithm is to apply the proximal ...

Acronyms: nLw, Lw, and Rrs are satellite remote sensing-related data meaning normalized water-leaving radiance; water-leaving radiance; and Remote sensing reflectance,respectively. TOA refers to ...