Atrial fibrillation is one of the most common kinds of arrhythmia, causing the heart not to contract properly in order to ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Neurodegenerative disorders are defined by progressive neuronal dysfunction and death, in which oxidative stress is recognized as a central contributor to ...

WEST LAFAYETTE, Ind. — With recent advances, cancer research now generates vast amounts of information. The data could help researchers detect patterns in cancer cells and stop their growth, but the ...

A May 2024 Reuters Institute and University of Oxford survey, which included more than 12,000 people from six countries, found that 21% of respondents on average have used ChatGPT professionally. This ...

Electro- and photocatalytic materials are central to enabling sustainable energy conversion processes such as water splitting, CO2 reduction, oxygen ...

Computational fluorescence microscopy (CFM) requires accurate point spread function (PSF) characterization for high-quality imaging. We propose a sample prior–based PSF decoupling method, where ...

Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...

Our CSM research includes static and dynamic analyses of complex solid bodies using computational approaches such as finite volume, finite element, discrete element, and meshless methods. The focus of ...

Soon after it was released a few short years ago, I began to delve into Steven Wolfram's new book, "A Fundamental Theory of Physics." I have followed his work since the early '90s when I first used ...