This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...

The standard deviation, sometimes called bell curve, describes the amount of variation in a data set by measuring and averaging, how much each value in the data set varies from the calculated mean.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

In this paper, an efficient approximate analytical technique for solving the one-dimensional Schrödinger equation (SE) with an attractive Gaussian potential is developed. This technique is based on ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. Theories of ...

Department of Basic Science, Nippon Veterinary and Life Science University, Tokyo, Japan. According to the uncertainty principle, the motion of the single electron in the 1s orbit of a hydrogen atom ...

Diffusion models have emerged as a powerful approach in generative AI, producing state-of-the-art results in image, audio, and video generation. In this in-depth technical article, we’ll explore how ...

This project implements a novel approach to generating Gaussian-like random numbers using Ethereum-style Keccak-256 hashing. It's designed to explore the distribution of bit counts in hash-generated ...