The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jpca.5c03794. Computational methods and algorithms; description of the ...

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

It is a proper scoring rule for probabilistic inference, and useful in time series inference. When $D$ is Gaussian, it has a closed-form formula devised in [1]. I ...

A new paper in JAMA Network Open determines whether type 2 diabetes mellitus (T2DM) increases the risk of fractures in older women. Diabetes affects over 500 million individuals worldwide, and its ...

What Is A Probability Density Function? A probability density function, also known as a bell curve, is a fundamental statistics concept, that describes the likelihood of a continuous random variable ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...

Quantum annealing (QA) can be competitive to classical algorithms in optimizing continuous-variable functions when running on appropriate hardware, show researchers from Tokyo Tech. By comparing the ...

The benchmark tests show that the noise-free realization of QA can significantly outperform state-of-the-art classical algorithms. Quantum annealing (QA) is a cutting-edge algorithm that leverages the ...