Influencers who coach benefit claimants on how to maximise their state support have been blamed for fuelling a surge in ...

This package provides a complete, high-performance Python implementation of the Expectation-Maximization algorithm for fitting two-state models of motor learning. The implementation uses Numba JIT ...

ABSTRACT: For an independent and identically distributed skew-t-normal random sequence, this paper establishes the limit distribution of normalized sample range M n − m n . Based on the optimal ...

Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Co-clustering algorithms and models represent a robust framework for the simultaneous partitioning of the rows and columns in a data matrix. This dual clustering approach, often termed block ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R ...