Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

A comprehensive new study suggests that the intense societal focus on maximizing personal happiness is not a universal human aspiration but rather a specific cultural preference. The findings indicate ...

Home Retirement Happy Retirement Could Traditional Retirement Expectations Be Killing Us? A Retirement Psychologist Makes the Case A fulfilling retirement begins with a blueprint for living, rather ...

Journal of Nuclear Medicine Technology August 2025, jnmt.125.269869; DOI: https://doi.org/10.2967/jnmt.125.269869 ...

Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, United States ...

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 ...

A new study published in the journal Cyberpsychology, Behavior, and Social Networking has shed light on why some people have intrusive thoughts and obsessive concerns about their romantic ...

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...

Post-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference feedback to specify desired behaviors. However, this approach faces ...

Forbes contributors publish independent expert analyses and insights. Nick Ladany writes about reimagining higher education. The college selection season is in full bloom and many students have ...

1 Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia. 2 Computer Science Department, Faculty of Science, Tanta University, Tanta, Egypt ...

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 ...