Learn about the negative correlation coefficient, its significance, comparison with other coefficients, and real-world ...

Objectives This paper examines the differential impact of responsive parenting and nutrition interventions on early child ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Tao, J. and Ke, Y. (2026) Facilitating or Inhibiting: A Cross-Level Study of the Impact of Artificial Intelligence Usage on Employees’ Thriving at Work. Open Journal of Business and Management, 14, ...

Abstract: As a nonlinear feature learning method, deep canonical correlation analysis (DCCA) has got a great success in computer vision. Compared with kernel methods, deep neural networks can more ...

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

The Oracle Database Documentation and other resources use these sample schemas to demonstrate the capabilities of Oracle Database and the SQL and PL/SQL languages ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Abstract: An efficient method for generating samples of two uniformly distributed random variables (RVs) on the interval (- 1,1) with prescribed correlation coefficients is proposed in this article.

The ggcorrplot package can be used to visualize easily a correlation matrix using ggplot2. It provides a solution for reordering the correlation matrix and displays the significance level on the ...