Solid-state Raman spectroscopy can accurately, precisely, and quickly measure a variety of parameters of gasoline, jet fuel, ...

binary logistic regression model, partial least-squares regression model, artificial neural network, and classification tree, in predicting advisories due to FIB contamination at 25 beaches along the ...

Abstract: A new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to predict a tensor (multiway array) $(\underline{\bf Y})$ ...

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

Abstract: The note proposes an efficient nonlinear identification algorithm by combining a locally regularized orthogonal least squares (LROLS) model selection with a D-optimality experimental design.

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

One of the most prominent claims in circulation is that DeepSeek V3 incurs a training cost of around $6 million.

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

This study examines 1495 publicly listed companies over the period 2016-2022 to assess whether higher ESG (environmental, social, and governance) scores are associated with greater cash dividend ...

New findings from the MATINEE and COPD-HELP studies suggest mepolizumab could reduce exacerbations and improve quality of ...

The objective of this study was to identify components of the inflammatory response in the intestine and liver in an experimental model of gastroschisis in rats. The model was surgically created at 18 ...